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Speaker 1: A zone media.

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Speaker 2: Hey everybody, Robert Evans here and I wanted to let

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Speaker 2: you know this is a compilation episode. So every episode

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Speaker 2: of the week that just happened is here in one

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Speaker 2: convenient and with somewhat less ads package for you to

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Speaker 2: listen to in a long stretch if you want. If

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Speaker 2: you've been listening to the episodes every day this week,

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Speaker 2: there's got to be nothing new here for you, but

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Speaker 2: you can make your own decisions.

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Speaker 3: Welcome to could happen here. I'm Andre Si Jeffy channel ANDRASM.

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Speaker 4: So today.

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Speaker 3: I wanted to really draw attention to the strategies of

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Speaker 3: resistance that have marked the stories of the African diaspora.

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Speaker 3: Of course, the diasporas is widespread on diverse, and you

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Speaker 3: could find oscotad hundreds of millions in communities across the globe,

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Speaker 3: largely to see impact of the trans Saharan, Transatlantic and

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Speaker 3: Indian Ushan slave trees as well as voluntary migration. Many

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Speaker 3: millions of stories could be told, but very few of

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Speaker 3: those stories have been told so far. My focus is

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Speaker 3: really on the African diaspora in the Caribbean today and

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Speaker 3: what strategies they used in their struggle and how those

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Speaker 3: strategies could potentially be utilized today in our contemporary struggle.

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Speaker 3: So for some context, in case you know you just

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Speaker 3: arrived on Earth a couple couple of years ago, enslaved

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Speaker 3: Africans suffered truly deplorable conditions from the moment of capture,

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Speaker 3: through the passage and the season in process, and to

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Speaker 3: the last of their days on the field of the plantation.

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Speaker 3: Yet in spite of the deplorable conditions enslaved people endured,

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Speaker 3: resistance endured. It was both inevitable and constant, as even

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Speaker 3: their enslavers recognized. Resistance, of course, began in Africa itself.

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Speaker 3: Enslaved people often fled to escape local captors who were

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Speaker 3: seeking to profit from the demand for slaves. Entire villages

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Speaker 3: would sometimes relocate to fortify their settlements to avoid capture.

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Speaker 3: Veellion was common among captives as they weighted to board

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Speaker 3: ships during the initial loading and even on the high seas. Tragically,

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Speaker 3: perhaps bravely, some choose to resist by taking their own lives,

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Speaker 3: either during the journey or during the brutal season in

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Speaker 3: process upon their arrival in the Caribbean on the plantation itself.

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Speaker 3: Resistance took many forms, tailored to specific circumstances and opportunities,

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Speaker 3: but acts of defiance were a constant throughout the history

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Speaker 3: of slavery in the Caribbean.

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Speaker 4: While not all forms.

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Speaker 3: Of resistance were as overt as the famous revolutions and rebellions,

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Speaker 3: each act played a role in shaping plantation society, undermining

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Speaker 3: the institution of chattel slavery, and ultimately hastening its demise.

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Speaker 3: We can classify these acts of resistance into three key categories,

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Speaker 3: non cooperation, confrontation, and prefiguration. Non Cooperation involves the deliberate

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Speaker 3: refusal to comply with those in power, using both overt

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Speaker 3: and COVID methods to protest against oppressive conditions. Confrontation is

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Speaker 3: about direct and assertive engagement with oppressive forces, aiming to

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Speaker 3: disrupt or undermine them. And prefiguration refuses a deliberate organization

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Speaker 3: of future social relations, institutions, and practices in the present,

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Speaker 3: envisioning and enacting a better future. It's important to note

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Speaker 3: that these categories, of course, often overlap into dynamics struggle

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Speaker 3: against slavery, non cooperation, confrontation, prefiguration intertwined, embodying.

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Speaker 4: The seeds of revolution throughout history.

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Speaker 3: In fact, Wherever people are faced depressure, these forms of

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Speaker 3: resistance have emerged.

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Speaker 4: The era of slavery in the Caribbean was no exception.

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Speaker 4: Acts of non cooperation.

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Speaker 3: Were perhaps the most common form of resistance on the plantation.

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Speaker 3: Non cooperation to many forms, often subtle yet impactful. Enslaved

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Speaker 3: individuals would act carelessly, feign illness or pretend ignorance. These

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Speaker 3: tactics slowed productivity and provided plausible explanations for accidents by

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Speaker 3: sabotage and tools machinery. They further disrupted the operations of

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Speaker 3: the plantation. Arson was another method used to strike back

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Speaker 3: against their pressors, causing significant damage to property and resources.

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Speaker 4: Secure in extra meat through.

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Speaker 3: Covid animal slaughter was a way for the enslaved to

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Speaker 3: supplement their meager rations and exit a small measure of

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Speaker 3: control over their own survival. And of course, running away

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Speaker 3: was another powerful form of non cooperation. Individuals and small

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Speaker 3: groups would escape for various reasons, to find psychological relief

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Speaker 3: from the relentless oppression, to reunite with loved ones, to

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Speaker 3: protest their harsh material conditions, or to carve out an

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Speaker 3: alternative way of life within the oppressive system. These escapes

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Speaker 3: were not just about physical freedom. They were acts of defiance.

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Speaker 3: They challenged the fundations of the plantation system. Modern day

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Speaker 3: activists and workers often engage in so forms of non

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Speaker 3: cooperation to challenge capitalist structures and state authority. Just as

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Speaker 3: in slave people would intentionally slow down or damage tools

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Speaker 3: to reduce productivity, modern workers might engage in slow downs,

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Speaker 3: work to rule actions, or even deliberate sabotage, which also

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Speaker 3: falls into the next category of action. These actions aim

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Speaker 3: to disrupt efficiency and profitability of capitalist enterprises, often as

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Speaker 3: a form of protest against unfair labor practices or to

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Speaker 3: demand better working conditions. Pretended ignorance was, as I mentioned,

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Speaker 3: a common tactic among enslave people to avoid the harsh

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Speaker 3: demands of plantation labor. We might look at the quiet

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Speaker 3: quittin folks who do the bare minimum required for their job,

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Speaker 3: refusing to go above and beyond in order to avoid

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Speaker 3: burnout and to resist the expectations that seek to exploit them.

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Speaker 3: Running away from plantations despite these fair consequences was a

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Speaker 3: powerful form of non cooperation that of course sought to

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Speaker 3: reclaim autonomy in modern times, though not equal valent strikes

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Speaker 3: and walkouts silver similar purpose. Workers leave their positions to

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Speaker 3: protest unfair conditions, risk and financial stability to demand systemic change.

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Speaker 3: In the Plantation era, acts of confrontation involved direct assaults

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Speaker 3: on the system itself. Like I said before, the plant

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Speaker 3: has lived in constant fear of revolt, and this fear

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Speaker 3: was especially heightened during the Christmas season. What seemed like

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Speaker 3: benign dances and festivities often disguised rebel oaths of secrecy.

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Speaker 3: Poisoning was another faired form of confrontation, a subtle yet

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Speaker 3: deadly alternative to open rebellion. The mere threat of conspiracies

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Speaker 3: and plots, whether real or imagined, kept the colonial regime

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Speaker 3: perpetually on edge. Colonial legal systems were primarily designed to

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Speaker 3: manage colonial property, which included enslaved people. These laws were

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Speaker 3: harsh and allowed for severe punishments for any perceived transgressions.

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Speaker 3: Enslaved individuals could face proof consequences for unauthorized movement, large gatherings,

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Speaker 3: possessions of weapons, or practicing secret rituals. Master The art

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Speaker 3: of subterfuge was thus crucial for survival. What does that

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Speaker 3: tell us about navigating our current legal context? While planters

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Speaker 3: tried to soy scored among the enslaved by facilitating ethnic

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Speaker 3: division by separating African born from Korean born, from dividing

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Speaker 3: domestic and field laborers as put in skilled and unskilled workers,

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Speaker 3: they stay people too about manipulated plantation politics. They carefully

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Speaker 3: studied the personalities of their wide overlords, subtly provoking divisions

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Speaker 3: between bookkeepers, overseers, and owners. A Nanci the Spider Trickster,

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Speaker 3: a popular West African folk tale character, became a hero,

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Speaker 3: inspiring strategies of disguised satire, trickery, and deceit. Yet despite

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Speaker 3: their cunning, many rebellions were quashed before they could even begin,

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Speaker 3: and those that did spark were often brutally suppressed. The

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Speaker 3: divisions fostered by the planter class between Creole and African

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Speaker 3: and slaved people hindered revolutionary efforts. While all revolts sought

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Speaker 3: greater power and freedom, Africans typically desired all out war

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Speaker 3: and the establishment of an African lifestyle apart from the colonies.

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Speaker 3: In contrast, many Creoles the Caribbean born Africans aimed to

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Speaker 3: modify the system to gain the rights of free wage laborers.

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Speaker 3: Such conflicts helped foil revolts in barbaeos in sixty, maybe

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Speaker 3: three Anti Guns seventeen thirty six, Saint quix In seventeen

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Speaker 3: fifty nine, and Jamaican in seventeen seventy six. What does

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Speaker 3: that tell us about the risk of unresolved divisions when

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Speaker 3: undertaken revolutionary action today. In the past, enslaved people used

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Speaker 3: secret meetings and COVID planning to organize revolts, often disguised

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Speaker 3: as social gatherings. Today activists can use in encrypto communication

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Speaker 3: or parties as staging grounds of political activism. Today, poisoning

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Speaker 3: maybe off the table, but its evident that property destruction,

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Speaker 3: including our sun, has persisted as a means of protest.

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Speaker 3: The efficacy of that method protest is perhaps situationally dependent,

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Speaker 3: but it certainly sends a message. Activists of today must

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Speaker 3: confront legal systems, just as since slave people in the

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Speaker 3: past needed to when descent is shaped against the statuscope.

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Speaker 3: There's a time and place for court battles and bail funds,

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Speaker 3: but they are not lasting means of resistance. We do

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Speaker 3: need to brainstorm more permanent means of liberation from this

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Speaker 3: legal system. Finally, just as a NANSI, this FIA trixter

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Speaker 3: issued as a symbol of clever resistance among the enslaved.

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Speaker 3: We need stories and symbols that can just as potently

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Speaker 3: in power. There's a time when Guy Fowk's masks served

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Speaker 3: as a powerful symbol of resistance. As a creative species

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Speaker 3: are symbolic, species will always need those signals to guide

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Speaker 3: and encourage us, to give us safety in numbers, in

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Speaker 3: a sense of solidarity, even if such symbols alone are

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Speaker 3: not inherently liberatory. Finally, acts of prefiguration may seem less

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Speaker 3: viable under their grim conditions. But even if they could

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Speaker 3: not build the socio economic autonomy that characterizes robust modern

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Speaker 3: prefigurative practices, enslaved people still managed to create networks of

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Speaker 3: support and resilient cultures that offered respite in a world

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Speaker 3: that sought to strip them of their humanity. Mutual aid

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Speaker 3: was truly the name of the game in the face

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Speaker 3: of social death. They cultivated ties of real and fictive kinship.

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Speaker 3: Since biological families were often torn apart by callous slaveholders,

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Speaker 3: with mother child units being the most common familiar arrangement,

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Speaker 3: many and slaved Africans extended their concept of family beyond

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Speaker 3: biological kin These networks of fictive kinship provided emotional support, protection,

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Speaker 3: and a sense of belonging, helping to preserve their humanity

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Speaker 3: in the midst of suffering. An example of this resilience

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Speaker 3: can be seen in the rotating savings and credit associations

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Speaker 3: that developed among enslaved women. Despite their marginal earnings from

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Speaker 3: market activities, they pool their resources and rotated lump sums

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Speaker 3: of money to each other in acts of mutual aid,

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Speaker 3: all without their master's permission. This practice not only provided

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Speaker 3: financial support, but also reinforce the bonds.

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Speaker 4: Of community and cooperation.

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Speaker 3: Similarly, today's marginalized communities create networks of solidarity, mutual aid groups,

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Speaker 3: and community centers to support each other in the face

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Speaker 3: of systemic injustices such as poverty, discrimination, and violence. Such

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Speaker 3: communities also often redefine family to include chosen families provide

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Speaker 3: any emotional support and care outside traditional family structures, particularly

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Speaker 3: within LGBTQ plus communities and other marginalized groups. Today, grassroots

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Speaker 3: organizations and cooperatives continue the tradition of economic cooperation, impowerant

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Speaker 3: marginalized groups to economic solidarity, microfinance initiatives, and community based lending.

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Speaker 3: It's important that we don't look at these in isolation.

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Speaker 3: Confrontation alone is not enough, non cooperation alone is not enough,

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Speaker 3: and of course prefiguration alone.

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Speaker 4: Is not enough.

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Speaker 3: So let's look back at diasphoric history to those who

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Speaker 3: did bring those actions together, sometimes successfully maroonage the active

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Speaker 3: and slave people escaping plantations to establish independent communities, to

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Speaker 3: find the Maroon experience deep within forests and nestled in mountains.

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Speaker 3: Across the Caribbean, thousands of Maroons forged their own path

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Speaker 3: shape in history through resilience and defiance. As runaways, they

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Speaker 3: were inherently non cooperative. As warriors, they directly confronted plantation society,

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Speaker 3: and as community builders they aim to prefigure a better

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Speaker 3: future for themselves and their descendants. Maroon societies varied widely,

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Speaker 3: shaped by local geography, available resources, and their relationship with

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Speaker 3: colonial powers. They thrived in rainforests and mountainous terrains, which

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Speaker 3: offered natural defenses and facilitated guerrilla warfare tactics Led by

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Speaker 3: captains charged with defense, Maroon settlements prioritized vigilance, fortification, and

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Speaker 3: constant readiness. They communicated with neighboring communities, practiced evasive maneuvers,

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Speaker 3: and engaged in both defensive and offensive strategies. Prior to

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Speaker 3: the Haitian Revolution, Francois Macandial and his network of enslaved

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Speaker 3: and Maroon allies struck fear into the heart of Saintomique.

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Speaker 3: They targeted plantation owners with acts of sabotage and arson,

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Speaker 3: challenging colonial authority with daring raids and strategic strikes. Beyond warfare,

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Speaker 3: Maroon communities were self sufficient, producing or acquiring what they

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Speaker 3: needed through raids, trade, or cultivation. The trader with pirates, merchants,

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Speaker 3: and other Maroon settlements across islands, while hunting, fishing, and

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Speaker 3: farming for sustenance. Yet their precarious existence often necessitated careful

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Speaker 3: population management. Some communities struggled with maintaining numbers, while others

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Speaker 3: cautiously accepted new recruits, balancing growth with the risk of

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Speaker 3: attracting clonial attention.

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Speaker 4: It is unfortunately not all good.

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Speaker 3: In the history, though, despite Faerce resistance, some Marone communities

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Speaker 3: opted for peace treaties with colonial powers, ensuring their survival

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Speaker 3: over generations. However, these treaties often came at a high cost,

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Speaker 3: seeding autonomy in exchange relative peace and limited rights under

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Speaker 3: colonial rule. The seventeen three to nine Treaty in Jamaica,

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Speaker 3: for instance, imposed British control over the Maroons, restricting their

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Speaker 3: land rights and obligating them to capture and return their

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Speaker 3: fellow escaped slaves. While many Maroon communities ultimately succumbed to

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Speaker 3: colonial pressure or were unable to remain hidden, some notably

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Speaker 3: in Jamaican Surnam inture to this day, regardless of their fate,

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Speaker 3: all Maroon communities defied the clonial order, asserting the independence

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Speaker 3: and capability even slaved Africans to conceive and pursue freedom.

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Speaker 3: What lessons can we take from their struggle? How can

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Speaker 3: we apply their strategy in our resistance today? The struggle

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Speaker 3: of the Maroons offers us some useful lessons, in my opinion,

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Speaker 3: when they succeeded, it was through strong community ties and solidarity.

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Speaker 3: They built networks of support and cooperation that were crucial

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Speaker 3: for survival. Today, we need to be fostering unity among

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Speaker 3: diverse groups facing systemic oppressure. Building alliances across different communities

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Speaker 3: strengthens our collective power and our resilience against common adversaries.

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Speaker 3: Another lesson we can glean is that the Maroons adapt

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Speaker 3: to their strategies to the local terrain and resources available. Similarly,

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Speaker 3: modern resistance movements can benefit from strategic adaptation to current

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Speaker 3: socio political landscapes. This includes utilizing technology for communication an

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Speaker 3: organization understand the media and digital as well as the

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Speaker 3: physical landscape, as well as adapt in tactics to fit

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Speaker 3: specific context, because not every tactic is going to make

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Speaker 3: sense in every situation, and we can't be going through

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Speaker 3: the emotions. Also, as the Maroon communities sort of establish

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Speaker 3: self sufficiency as much as possible in their struggle, they

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Speaker 3: cannot adequately resist if they were still fully or mostly

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Speaker 3: dependent on the beasts they were fighting. They needed to

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Speaker 3: be producing their own food, goods and resources. Otherwise any

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Speaker 3: all our confrontation would be suicidally premature. We as movements,

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Speaker 3: need to prioritize building sustainable practices and self reliant economies

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Speaker 3: to reduce our alliance and oppressive systems. We cannot confront

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Speaker 3: these systems if we are still dependent on them. We

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Speaker 3: will not succeed. If so, the Maroons were also flexible.

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Speaker 3: They shifted between defensive and offensive strategies as their circumstances demanded.

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Speaker 3: Movements can benefit from maintaining that kind of flexibility in tactics.

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Speaker 3: We cannot be all offensive, we cannot be all defensive.

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Speaker 3: We must strike a balance. Finally, though this is projection

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Speaker 3: on my part, I believe some of the Maroons would

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Speaker 3: have had long term vision despite their immediate challenges. I

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Speaker 3: believe they maintained a long term vision of freedom and

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Speaker 3: autonomy that sustain their resistance over generations. Contemporary movements can

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Speaker 3: benefit from a similar long term perspective, recognizing that meaningful

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Speaker 3: change often requires sustained effort and commitment across time. That's

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Speaker 3: all I have for today, All power to all the people.

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Speaker 3: You can follow me on YouTube at androism and on

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Speaker 3: patreon dot com slash Same Truth.

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Speaker 4: Peace.

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Speaker 5: Hi everyone, it's me James and I am joined today

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Speaker 5: by Kirsty Zitlau, who is a border water drop volunteer

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Speaker 5: I've turn some water rops together, and also an immigration writer.

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Speaker 5: And we're going to talk about ice transferring people in

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Speaker 5: their detention and generally the sort of post a rival

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Speaker 5: process that migrants asylum seeker specifically faced when they come

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Speaker 5: to the United States. Welcome to the.

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Speaker 6: Show, Thank you, thanks for having me, Thanks for being here.

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Speaker 5: So I think to start out with people when I

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Speaker 5: speak to them like in my day to day life,

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Speaker 5: are very unaware of the situations that migrants face when

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Speaker 5: it comes to obtaining legal representation. Right, So maybe we

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Speaker 5: could start off by just explaining that this isn't like

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Speaker 5: if you're accused of a crime rate in theory it's

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Speaker 5: a civil proceeding, but also they'll lock you up, but

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Speaker 5: you don't get a public defender assigned to you. Right,

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Speaker 5: So can you explain someone Let's say someone comes through

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Speaker 5: the hole in the fence in Kumbo, right, they get

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Speaker 5: detained at the o EDS, We give them a peanut

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Speaker 5: butter and jelly sandwich, and then they get taken out processed.

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Speaker 5: What happens after that? So from when they come to three,

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Speaker 5: what said in terms of their legal representation? How does

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Speaker 5: it work?

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Speaker 6: Yes, so I'll address the street release folks as well

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Speaker 6: as the people who are then taken to ice the attention. Yes, yeah,

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Speaker 6: so I'll start with the street release folks. So they well, first,

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Speaker 6: anybody who irregularly enters the United States not at a

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Speaker 6: port of entry is subject to detention, not just by

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Speaker 6: border patrol, but by ICE. The fortunate situation, I mean, sorry,

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Speaker 6: the lining, the silver lining of this, you know, entire

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Speaker 6: awful situation is that there's so many people coming that

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Speaker 6: there's not enough detention space to detain everybody, and so

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Speaker 6: hence the street releases. So the people can then go

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Speaker 6: directly to their family. They will go with a notice

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Speaker 6: to a peer which starts their immigration court proceedings, which

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Speaker 6: was issued by Border Patrol. So immediately they have to

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Speaker 6: navigate the immigration court system, starting with the fact that

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Speaker 6: the notice to a peer might have a false date

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Speaker 6: on it as far as their court date. So that's

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Speaker 6: the first it's the first issue.

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Speaker 5: What does that mean when you say a false date,

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Speaker 5: Like if they share up on that date, the hearing

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Speaker 5: won't be happening.

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Speaker 6: So there's been a trend over the years to put

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Speaker 6: to be decided as a hearing date on their notice

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Speaker 6: to appear, which is the first document that says, hey,

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Speaker 6: you're now we can put in immigration court proceedings. We'll

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Speaker 6: send you a later notice to your address that you

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Speaker 6: gave us of when you're actually going to have that hearing,

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Speaker 6: or rather the court will. So the immigration lawyer bar

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Speaker 6: pushed real hard on this issue and said, no, this

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Speaker 6: is BS. You need to put a date in time.

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Speaker 6: The reason they weren't is because they didn't want to

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Speaker 6: take the time to coordinate with the courts to make

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Speaker 6: sure that there's actually a judge on that date and

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Speaker 6: time that they assign, so to satisfy the legal requirements

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Speaker 6: that we've pushed for, they often will just put a

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Speaker 6: fake date and time, So, in other words, they haven't

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Speaker 6: done anything to verify whether there's actually a judge sitting

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Speaker 6: at some court that day or time to hear their case.

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Speaker 5: Yeah, they're just making it up.

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Speaker 7: So this is exactly so.

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Speaker 6: This is of course incredibly confusing and very dangerous because

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Speaker 6: they basically need an attorney immediately to explain this concept

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Speaker 6: to them, because they first of all won't know how

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Speaker 6: to look for when their actual court date is, which

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Speaker 6: is a link that I don't think Border Patrol ever

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Speaker 6: gives them. And then if they miss their actual court

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Speaker 6: date then they will of course be ordered deported and

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Speaker 6: the you know, then ICE is after them, and really

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Speaker 6: they have no other options at that point. So really

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Speaker 6: the need for an attorney arises immediately. And often immigrants

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Speaker 6: have been robbed, they've paid all their money to transnational

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Speaker 6: immigration to criminal organizations, excuse me, so, and an asylum

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Speaker 6: case is costly, so they have a right to an attorney,

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Speaker 6: as you said, but only at their own expense. So

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Speaker 6: this is a tremendous challenge off the bat, as you

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Speaker 6: can imagine.

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Speaker 5: Yeah, and then just to further sort of go down

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Speaker 5: that pathway, the attorney is paid for their own expense,

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Speaker 5: but without an attorney they may not be able to

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Speaker 5: obtain a work permit.

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Speaker 6: Right, So one hundred percent, I mean navigating the process

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Speaker 6: on your own is as an immigrant, it just seems

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Speaker 6: basically impossible to me. I mean, there's there's so much

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Speaker 6: that even US as attorneys struggle with that it is,

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Speaker 6: and it's evolving all the time. So even if you

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Speaker 6: managed to submit your asylum application by yourself the process

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Speaker 6: and then later submitting the work permit form and knowing

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Speaker 6: where to send it and how to navigate uscis that's

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Speaker 6: I mean, like I said, it's difficult for us. I mean,

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Speaker 6: let's just say I got a work permit with somebody

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Speaker 6: else's photo on it the other day, so you know,

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Speaker 6: so it's a total mess. And to have an immigrant

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Speaker 6: and even navigate that process is it just seems impossible.

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Speaker 4: Yeah.

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Speaker 5: Yeah, I mean I've no, I have not applied for asylum,

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Speaker 5: but when I renewed my green card that myself and

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Speaker 5: English is my first language. I have a PhD. I'm

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Speaker 5: used to paperwork, and it was both scary and complicated,

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Speaker 5: and exactly your whole future is resting on it. It's

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Speaker 5: extremely anxiety.

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Speaker 6: By design too. I mean it's it's they haven't updated

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Speaker 6: forms to become a resident since I mean, like the

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Speaker 6: thirties or something, right, asked about it exactly exactly, and

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Speaker 6: it's all just to make it a difficult as possible

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Speaker 6: in the wait times and everything else.

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Speaker 5: Yeah, So how about the folks who go into ICE detention?

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Speaker 8: There?

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Speaker 6: So these are typically people, well, I mean that's just

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Speaker 6: the thing. These days, there aren't the typical people who

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Speaker 6: go into ICE attention. It's kind of it seems to

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Speaker 6: me that certainly there's people who are mandatory detention, where

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Speaker 6: if they have a prior deportation order or criminal or

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Speaker 6: immigration history in this country, they will probably be detained.

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Speaker 6: But I've also noticed a lot of racial profiling in

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Speaker 6: the detention. I have a few black clients right now

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Speaker 6: in detention, and if they were white, I'm absolutely convinced

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Speaker 6: they are not even white but Latino, they would have

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Speaker 6: been released already. And one of them is a black

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Speaker 6: Muslim man from Kenya and he's been called a suspected

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Speaker 6: terrorist by ICE for six months or more that he's

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Speaker 6: been into detention with zero proof whatsoever, and so they'll

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Speaker 6: just hold them for that reason because he's a black

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Speaker 6: Muslim man. So these are often people with very meritorious cases,

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Speaker 6: like for example, this man was an opposition party leader

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Speaker 6: and recruiter back in Kenya. So these people just need

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Speaker 6: I mean, whether they win or not win their case

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Speaker 6: or not, can hinge on just being able to get representation,

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Speaker 6: you know, because he's very intelligent and probably would have

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Speaker 6: been able to put together a good case on his behalf.

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Speaker 6: But the stats about people winning cases detained without attorneys

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Speaker 6: is very very low. So yeah, so then they have

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Speaker 6: to work with a family member on the outside obviously

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Speaker 6: to get a hold of an attorney. Not a lot

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Speaker 6: of attorneys or all attorneys do detained work because it

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Speaker 6: is so difficult to start with, I mean, access to

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Speaker 6: your client is just so limited, and getting evidence, I mean,

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Speaker 6: they have to have a reliable family and support network

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Speaker 6: on the outside essentially to help them get evidence from

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Speaker 6: their home country. I mean, how else do you do that?

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Speaker 6: Detained and so it's a lot of work coordinating as

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Speaker 6: an attorney and so forth. So San Diego County saw

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Speaker 6: that need and actually started a great program. I'm not

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Speaker 6: exactly sure when it's starts arted, but apparently they weren't

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Speaker 6: getting enough applicants and maybe it's been around for a

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Speaker 6: little bit, but they didn't know about it. And it's

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Speaker 6: they set aside like five million dollars to specifically pay

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Speaker 6: attorneys to represent people detained an O time ASIE, which

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Speaker 6: is of course the big ice attention center in San Diego.

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Speaker 6: So that caused there to be more attorneys, you know,

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Speaker 6: or more or slightly more represented people at O time ASIE,

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Speaker 6: which was great. Yeah, because typically when I go in there,

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Speaker 6: you know, this is just anecdotal evidence, you'll see a

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Speaker 6: handful of attorneys, maybe a couple, maybe at most like five,

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Speaker 6: and then you see all the detainees the immigrants sitting there,

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Speaker 6: and there's clearly more than there are attorneys. So you know,

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Speaker 6: I read a stat by the ALU that it's like

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Speaker 6: something like seventy percent as of twenty twenty one did

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Speaker 6: not have attorneys and detention centers.

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Speaker 5: Right, so they just won't be represented throughout that process exactly,

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Speaker 5: and certainly like God forbid, you're a Muslim, Yeah, if

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Speaker 5: you're a black Muslim man, you're like at the intersection

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Speaker 5: of things that are going to have us sent.

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Speaker 7: Straight to jail exactly.

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Speaker 5: Just to briefly explain for people who have when we

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Speaker 5: talk about ICE detention, what are we talking about, Like,

433
00:26:04,320 --> 00:26:08,040
Speaker 5: what are the conditions and who is often operating these detention.

434
00:26:07,760 --> 00:26:11,560
Speaker 6: Centers excellent points. So these are for profit detention centers.

435
00:26:11,640 --> 00:26:17,280
Speaker 6: So it is operated by ICE in conjunction with two

436
00:26:17,359 --> 00:26:20,359
Speaker 6: large companies called Corcivic or Geogroup. And if you're not

437
00:26:20,400 --> 00:26:23,120
Speaker 6: familiar with these companies, google them and you will immediately

438
00:26:23,119 --> 00:26:29,200
Speaker 6: be horrified. Yeah, so it's a horrifying state of affairs. Essentially.

439
00:26:29,880 --> 00:26:32,159
Speaker 6: One of the biggest things in one can google this

440
00:26:32,240 --> 00:26:35,399
Speaker 6: right now is the wrongful death suits and payouts. So

441
00:26:36,119 --> 00:26:40,920
Speaker 6: literally the business model is to allow people to die

442
00:26:41,480 --> 00:26:45,680
Speaker 6: detained as a cost of business rather than give them

443
00:26:45,720 --> 00:26:47,680
Speaker 6: proper medical care or take them to the hospital and

444
00:26:47,720 --> 00:26:49,439
Speaker 6: so forth. And they will pay out and they do

445
00:26:49,480 --> 00:26:53,640
Speaker 6: pay out millions to families. And I've seen this in action,

446
00:26:54,640 --> 00:26:58,879
Speaker 6: not that any of my clients died, but just the

447
00:26:58,880 --> 00:27:01,320
Speaker 6: the gravity to which the health situation has to be

448
00:27:01,359 --> 00:27:03,280
Speaker 6: in order to have a prayer of getting them out.

449
00:27:04,000 --> 00:27:07,480
Speaker 5: Yeah, it's it's very sad. Like I think one thing

450
00:27:07,520 --> 00:27:11,040
Speaker 5: that I come back to now, like four years issue

451
00:27:11,040 --> 00:27:13,600
Speaker 5: into a Biden administration is that like on one of

452
00:27:13,600 --> 00:27:15,600
Speaker 5: his first decutive orders was he's going to end for

453
00:27:15,680 --> 00:27:19,439
Speaker 5: profit prisons, and he never did shit about the ice detention,

454
00:27:19,600 --> 00:27:23,280
Speaker 5: Like right from the outset there was like, these people

455
00:27:23,560 --> 00:27:25,280
Speaker 5: do not have the same right to the people, and

456
00:27:25,280 --> 00:27:26,359
Speaker 5: we don't care about them as.

457
00:27:26,320 --> 00:27:29,520
Speaker 6: Much, exactly exactly, and at this part well and at

458
00:27:29,520 --> 00:27:32,199
Speaker 6: this point too, it's like, given that he's done a

459
00:27:32,200 --> 00:27:34,359
Speaker 6: one eighty on anything that was pro immigrant or that

460
00:27:34,400 --> 00:27:35,720
Speaker 6: he said he was going to do at the beginning,

461
00:27:36,200 --> 00:27:38,200
Speaker 6: you kind of start to wonder, is he just being

462
00:27:38,200 --> 00:27:40,320
Speaker 6: paid off by the same people, by a geogroup or

463
00:27:40,320 --> 00:27:43,720
Speaker 6: cor civic you know they they contribute millions of dollars

464
00:27:43,720 --> 00:27:47,360
Speaker 6: to whoever is running for president for good reason. So

465
00:27:47,400 --> 00:27:49,919
Speaker 6: it makes you wonder from that aspect as well.

466
00:27:50,160 --> 00:27:53,080
Speaker 5: Yeah, like it certainly it was in his immigration reform

467
00:27:53,080 --> 00:27:57,040
Speaker 5: built right between increase the amount of ice detention facility beds,

468
00:27:57,440 --> 00:27:59,600
Speaker 5: us cells or whatever, how do you want to put that.

469
00:28:00,000 --> 00:28:02,400
Speaker 5: Hopefully this advert that we're about to pivot to here

470
00:28:02,480 --> 00:28:05,280
Speaker 5: is not for cour Civic Audio Group, but if it is,

471
00:28:05,600 --> 00:28:06,080
Speaker 5: fuck them.

472
00:28:06,400 --> 00:28:06,760
Speaker 6: Amen.

473
00:28:17,760 --> 00:28:20,440
Speaker 5: All right, we are back and we're going to talk

474
00:28:20,480 --> 00:28:24,639
Speaker 5: about this process advice relocating detainees. So this is something

475
00:28:24,640 --> 00:28:27,560
Speaker 5: that you've actually you've done interview about recently, right A

476
00:28:27,560 --> 00:28:28,399
Speaker 5: Pece written about it.

477
00:28:28,880 --> 00:28:31,879
Speaker 6: Yes, Yes, I did two interviews about it, just because

478
00:28:31,920 --> 00:28:35,600
Speaker 6: it's an issue very close to my heart. For several reasons.

479
00:28:36,080 --> 00:28:39,080
Speaker 6: Detained work is very very difficult, and just the fact

480
00:28:39,120 --> 00:28:42,440
Speaker 6: that few attorneys do it. I mean more have now

481
00:28:42,480 --> 00:28:44,920
Speaker 6: in light of the County program. But still it's very

482
00:28:44,920 --> 00:28:49,720
Speaker 6: emotionally draining too. You see, you literally see the decline

483
00:28:50,360 --> 00:28:52,600
Speaker 6: of the person in front of your eyes, both mentally

484
00:28:52,640 --> 00:28:56,400
Speaker 6: and physically, and it's just it takes a lot out

485
00:28:56,440 --> 00:29:00,520
Speaker 6: of you. So these people need and deserve our presentation,

486
00:29:00,640 --> 00:29:03,560
Speaker 6: and like I said, are often detained unjustly and have

487
00:29:03,760 --> 00:29:10,000
Speaker 6: strong cases that they could actually win. So basically these

488
00:29:10,040 --> 00:29:13,600
Speaker 6: people deserve representation and need it the most. I mean,

489
00:29:13,600 --> 00:29:16,400
Speaker 6: they're basically the most marginalized out of any immigrant there is.

490
00:29:16,560 --> 00:29:22,440
Speaker 6: So for ICE to suddenly start transferring mass transferring, I

491
00:29:22,520 --> 00:29:26,320
Speaker 6: might add, represented detainees when they never have in the

492
00:29:26,360 --> 00:29:29,280
Speaker 6: past and they haven't their own memo from twenty twelve

493
00:29:29,280 --> 00:29:34,520
Speaker 6: that says they shouldn't do this except for exigent circumstances,

494
00:29:34,520 --> 00:29:36,720
Speaker 6: you know, like some and they describe it as some

495
00:29:36,840 --> 00:29:40,760
Speaker 6: medical issue or something severe that requires it. It's just

496
00:29:41,080 --> 00:29:45,600
Speaker 6: it's pretty obvious that this is just direct retaliation or

497
00:29:46,120 --> 00:29:50,480
Speaker 6: just designed to get attorneys out of O Tai, because

498
00:29:50,560 --> 00:29:52,880
Speaker 6: there's been more of them in there. And we tend

499
00:29:52,960 --> 00:29:55,320
Speaker 6: to make a stink and we tend to we tend

500
00:29:55,400 --> 00:29:58,120
Speaker 6: to ask, hey, why haven't you given a decision on

501
00:29:58,160 --> 00:30:01,320
Speaker 6: my client's requests to be really east and what's going

502
00:30:01,360 --> 00:30:02,880
Speaker 6: on here? And we tend to send a lot of

503
00:30:02,920 --> 00:30:05,600
Speaker 6: emails advocating for our clients, and we tend to be

504
00:30:05,880 --> 00:30:10,240
Speaker 6: pains in the asses. And before this happened, I noticed

505
00:30:10,280 --> 00:30:13,800
Speaker 6: that ICE was just not responding at all, whereas I

506
00:30:13,880 --> 00:30:17,000
Speaker 6: had some relationship with the ICE agents that are at

507
00:30:17,000 --> 00:30:19,640
Speaker 6: the detention center. Just to back up, every client is

508
00:30:19,640 --> 00:30:22,640
Speaker 6: assigned to a deportation officer, so you technically have somebody

509
00:30:22,760 --> 00:30:24,880
Speaker 6: from ICE to communicate with, and they're supposed to be

510
00:30:24,880 --> 00:30:27,640
Speaker 6: in charge of the person detained, you know, whether they're

511
00:30:27,680 --> 00:30:30,160
Speaker 6: released or whether the treatment like any they're their point

512
00:30:30,200 --> 00:30:33,280
Speaker 6: of contact. And so even under the Trump years, you'd

513
00:30:33,280 --> 00:30:35,240
Speaker 6: be able to Yeah, you might have to follow up,

514
00:30:35,360 --> 00:30:37,320
Speaker 6: but you'd be able to communicate with a couple of

515
00:30:37,320 --> 00:30:38,880
Speaker 6: them or some of them would do you know. And

516
00:30:38,920 --> 00:30:43,040
Speaker 6: so I noticed in the past year or two that

517
00:30:43,080 --> 00:30:44,880
Speaker 6: this is has just been kind of this scorched earth

518
00:30:44,920 --> 00:30:46,920
Speaker 6: approach where they just won't.

519
00:30:46,640 --> 00:30:48,840
Speaker 7: Get back to you or yeah.

520
00:30:49,120 --> 00:30:54,040
Speaker 6: And they're also not responding to requests to have people

521
00:30:54,120 --> 00:30:58,440
Speaker 6: released for just months and months and months despite attorneys asking.

522
00:30:58,720 --> 00:31:02,880
Speaker 6: And so it doesn't surprise me the timing of this

523
00:31:03,000 --> 00:31:06,040
Speaker 6: and that they would do this now that I'm reflecting

524
00:31:06,080 --> 00:31:09,360
Speaker 6: back on this, as well as the county program. There's

525
00:31:09,400 --> 00:31:11,880
Speaker 6: more attorneys at O Tai Mesa now and so I

526
00:31:11,880 --> 00:31:14,880
Speaker 6: mean essentially what happens is if the person is transferred,

527
00:31:15,000 --> 00:31:18,920
Speaker 6: which they've all been transferred to places like I think

528
00:31:18,960 --> 00:31:23,080
Speaker 6: Colorado is probably the best option, but generally like Louisiana, Mississippi,

529
00:31:23,600 --> 00:31:26,560
Speaker 6: things like that. Texas is where my clients are currently.

530
00:31:27,000 --> 00:31:28,960
Speaker 6: So these are places where you can imagine there's a

531
00:31:29,120 --> 00:31:31,840
Speaker 6: not a lot of quality immigration attorneys and b not

532
00:31:31,920 --> 00:31:35,200
Speaker 6: a high chance of winning your case given the nature

533
00:31:35,200 --> 00:31:36,640
Speaker 6: of the judges that are there.

534
00:31:36,880 --> 00:31:40,600
Speaker 5: Yeah, sod migrants articulate to me that they would not

535
00:31:40,640 --> 00:31:43,480
Speaker 5: want to be in the fifth circuit exactly. Come here

536
00:31:43,920 --> 00:31:46,800
Speaker 5: in the ninth circuit exactly. They're getting sent right back

537
00:31:46,840 --> 00:31:49,000
Speaker 5: to the fifth circuit there exactly.

538
00:31:49,240 --> 00:31:51,720
Speaker 6: And that's where my clients are now. And one judge

539
00:31:51,720 --> 00:31:54,920
Speaker 6: from Otai decided, who scolded me for suggesting that this

540
00:31:55,080 --> 00:31:58,880
Speaker 6: was even by design. He told me to act more professional.

541
00:31:58,960 --> 00:32:00,800
Speaker 6: He didn't say anything to the DA just attorney about

542
00:32:00,800 --> 00:32:02,360
Speaker 6: what his client was doing. It told me to act

543
00:32:02,400 --> 00:32:05,800
Speaker 6: more professional, changed venue for that client. I was talking

544
00:32:05,840 --> 00:32:08,200
Speaker 6: about the Kenyan client, and so we're now in El Paso,

545
00:32:09,200 --> 00:32:12,440
Speaker 6: and thank god he has a strong case. But even then,

546
00:32:12,480 --> 00:32:15,440
Speaker 6: I wonder, because that's it's I mean, if it's well

547
00:32:15,480 --> 00:32:18,200
Speaker 6: known amongst migrants, you can imagine how badissy.

548
00:32:18,400 --> 00:32:20,960
Speaker 5: If it's someone who knows nothing of the US.

549
00:32:22,200 --> 00:32:25,520
Speaker 6: Yes, I mean, so it's just it's ludicrous that you have,

550
00:32:25,800 --> 00:32:29,959
Speaker 6: you know, people pretending like judges, you know, just like

551
00:32:30,280 --> 00:32:33,240
Speaker 6: this had to happen when you have you know, seventy

552
00:32:33,280 --> 00:32:37,240
Speaker 6: percent of people you know. At least that's slightly dated,

553
00:32:37,280 --> 00:32:39,120
Speaker 6: but still I don't think the percentage is that, even

554
00:32:39,120 --> 00:32:43,000
Speaker 6: if it's fifty percent, why not unrepresented people? So to

555
00:32:43,080 --> 00:32:46,000
Speaker 6: do this, it's just a very obvious, like fuck you.

556
00:32:46,240 --> 00:32:49,640
Speaker 6: I mean, it's just there's no other way to to

557
00:32:50,280 --> 00:32:50,840
Speaker 6: justify it.

558
00:32:51,160 --> 00:32:53,680
Speaker 5: Yeah, and like when that happens, right, so you have

559
00:32:53,680 --> 00:32:56,680
Speaker 5: this this gentleman from Kenya who's who's been transferred to

560
00:32:56,680 --> 00:32:59,960
Speaker 5: to Texas. That then you then have to travel to

561
00:33:00,080 --> 00:33:02,840
Speaker 5: Texas right for his hearings to talk to meet with him.

562
00:33:03,480 --> 00:33:06,280
Speaker 6: Yeah, so that's the whole that's the whole big battle.

563
00:33:06,320 --> 00:33:08,760
Speaker 6: And I have I have two different clients with two

564
00:33:08,800 --> 00:33:13,800
Speaker 6: different experiences. So so he I will either have to

565
00:33:13,840 --> 00:33:18,880
Speaker 6: appear via WebEx from my home. But then the judge

566
00:33:18,920 --> 00:33:22,080
Speaker 6: now has two people remotely because my client's not an

567
00:33:22,080 --> 00:33:26,160
Speaker 6: El Paso either, he's detained an ants in Texas, which

568
00:33:26,240 --> 00:33:31,600
Speaker 6: is a blip about three hours away from Dallas or something.

569
00:33:31,760 --> 00:33:33,959
Speaker 6: So they and this is also by design, right, they

570
00:33:33,960 --> 00:33:35,840
Speaker 6: put all these attention centers in the middle of nowhere

571
00:33:35,880 --> 00:33:38,960
Speaker 6: because God forbid, the public sees that people seeking asylum

572
00:33:39,000 --> 00:33:42,640
Speaker 6: are in prisons. So anyways, so both of us are

573
00:33:42,640 --> 00:33:45,000
Speaker 6: going to be remote if that's the case. So, I mean,

574
00:33:45,040 --> 00:33:47,360
Speaker 6: I think there needs to be some personal contact and

575
00:33:47,400 --> 00:33:50,000
Speaker 6: maybe if I can have some communication with the DHS council,

576
00:33:50,080 --> 00:33:52,160
Speaker 6: I have to go to El Paso to give my

577
00:33:52,200 --> 00:33:55,000
Speaker 6: clients the best chance of something, you know, otherwise we're

578
00:33:55,000 --> 00:33:57,440
Speaker 6: both faces on this video with a with a fifth

579
00:33:57,440 --> 00:34:01,120
Speaker 6: circuit judge, you know. So the other the flip side

580
00:34:01,120 --> 00:34:02,760
Speaker 6: of the coin was that I have another client who

581
00:34:02,840 --> 00:34:05,080
Speaker 6: was transferred and his trial is literally around the corner.

582
00:34:05,120 --> 00:34:08,200
Speaker 6: It's next week. So yeah, he was transferred four weeks

583
00:34:08,200 --> 00:34:13,440
Speaker 6: before as individual hearings. So I filed something scathing, saying, judge,

584
00:34:13,480 --> 00:34:16,480
Speaker 6: please don't consider changing venue. This is you know, yeah,

585
00:34:16,560 --> 00:34:18,960
Speaker 6: he's been detained long enough. He's a twenty one year

586
00:34:18,960 --> 00:34:19,480
Speaker 6: old by the way.

587
00:34:19,520 --> 00:34:20,560
Speaker 1: I mean, so.

588
00:34:22,680 --> 00:34:26,760
Speaker 6: DHS sheepishly filed something. So Counsel for ICE filed something saying, okay,

589
00:34:26,800 --> 00:34:28,839
Speaker 6: well we're asked, we agree to that. We just asked

590
00:34:28,840 --> 00:34:32,160
Speaker 6: that he could appear via WebEx from ants in Texas. Also, right,

591
00:34:32,239 --> 00:34:34,080
Speaker 6: so now he's going to be a face on a screen.

592
00:34:34,560 --> 00:34:36,440
Speaker 6: But I can be at o tie. But still, I mean,

593
00:34:36,480 --> 00:34:40,279
Speaker 6: these are all significant disadvantages. I mean, judges are evaluating

594
00:34:40,320 --> 00:34:42,960
Speaker 6: immigrants to see whether or not in their mind they're

595
00:34:43,040 --> 00:34:45,279
Speaker 6: quote credible. That means do they think they're lying or not.

596
00:34:46,160 --> 00:34:48,560
Speaker 6: That's very hard to do on a video because you're

597
00:34:48,600 --> 00:34:52,440
Speaker 6: looking for body language. You're looking for subtle things, you know.

598
00:34:52,840 --> 00:34:56,400
Speaker 6: And also it's just like the human aspect of it

599
00:34:56,440 --> 00:34:57,280
Speaker 6: is very important.

600
00:34:57,480 --> 00:34:57,680
Speaker 1: You know.

601
00:34:57,800 --> 00:35:00,319
Speaker 6: It's easier to deny asylum to somebody on a that

602
00:35:00,320 --> 00:35:02,040
Speaker 6: it is somebody sitting in front of you. You know,

603
00:35:02,080 --> 00:35:04,360
Speaker 6: there's so many there's so many small aspects, and so

604
00:35:04,400 --> 00:35:06,920
Speaker 6: Ice claims like, oh, well, well you just you can

605
00:35:06,960 --> 00:35:09,879
Speaker 6: communicate just fine, you know, you can commune. We'll offer

606
00:35:09,920 --> 00:35:12,760
Speaker 6: you calls and even video calls. And I'm like, okay,

607
00:35:12,760 --> 00:35:15,160
Speaker 6: you don't understand anything about being an attorney and what

608
00:35:15,200 --> 00:35:19,759
Speaker 6: it means to to actually represent clients. At the the

609
00:35:19,760 --> 00:35:22,520
Speaker 6: person's final court hearing, they are asked to swear to

610
00:35:22,560 --> 00:35:25,399
Speaker 6: the contents of not only their asylum application, but also

611
00:35:25,480 --> 00:35:29,120
Speaker 6: all evidence they filed. And so if how on earth

612
00:35:29,160 --> 00:35:30,879
Speaker 6: can you show them and sit with them to show

613
00:35:30,920 --> 00:35:33,640
Speaker 6: them the evidence in person? You know that you can

614
00:35:33,680 --> 00:35:36,320
Speaker 6: only do and personally. So it's just this whole concept

615
00:35:36,320 --> 00:35:40,799
Speaker 6: that you can that you can even adequately lawyer remotely

616
00:35:40,920 --> 00:35:45,320
Speaker 6: or over the phone. It's it's just it's not possible.

617
00:35:45,880 --> 00:35:48,680
Speaker 5: Yeah, and especially for people who are less you know,

618
00:35:48,719 --> 00:35:50,680
Speaker 5: like I spent less time on Zoom than we have

619
00:35:50,800 --> 00:35:52,320
Speaker 5: in the past four years.

620
00:35:52,120 --> 00:35:55,279
Speaker 6: Right exactly, And a lot of these people are are

621
00:35:55,719 --> 00:36:00,360
Speaker 6: are traumatized, you know, and are you like, as an attorney,

622
00:36:00,400 --> 00:36:02,480
Speaker 6: you need to build rapport with them, and you do

623
00:36:02,560 --> 00:36:05,759
Speaker 6: that by meeting with them in person, otherwise they might

624
00:36:05,760 --> 00:36:09,560
Speaker 6: not share vital information with you, you know. And and honestly,

625
00:36:09,880 --> 00:36:11,959
Speaker 6: the family of the twenty one year old mainly hired

626
00:36:12,000 --> 00:36:14,440
Speaker 6: me to be with him during his final hearing, and

627
00:36:14,480 --> 00:36:17,160
Speaker 6: so now I can't even do that, you know, just

628
00:36:17,320 --> 00:36:21,120
Speaker 6: to try to calm and you know, these people are petrified.

629
00:36:21,120 --> 00:36:22,600
Speaker 6: They've been through so much and now they have to

630
00:36:22,600 --> 00:36:25,040
Speaker 6: talk about all of it in front of this American

631
00:36:25,120 --> 00:36:28,759
Speaker 6: judge and a robe from a prison. Yeah, and I

632
00:36:28,840 --> 00:36:32,640
Speaker 6: have to be their only ally is not even with them.

633
00:36:32,560 --> 00:36:36,279
Speaker 5: Yeah, And like there's understandably in a little country saying

634
00:36:36,280 --> 00:36:38,360
Speaker 5: something on the phone or on a call might be

635
00:36:39,080 --> 00:36:41,839
Speaker 5: a risk, right one hundred percent. You know, it takes

636
00:36:42,640 --> 00:36:44,120
Speaker 5: I'm not saying it's not a risk doing it in

637
00:36:44,120 --> 00:36:47,400
Speaker 5: this country. Like all of these things stack up against them.

638
00:36:47,719 --> 00:36:50,960
Speaker 6: I spend most of my time telling my clients, like, hey,

639
00:36:51,040 --> 00:36:53,560
Speaker 6: what we discuss on the phone is attorney client privilege,

640
00:36:53,600 --> 00:36:56,880
Speaker 6: Like nobody could use this even if they try, and

641
00:36:57,360 --> 00:36:59,600
Speaker 6: it doesn't calm them down, because it's just they think

642
00:36:59,600 --> 00:37:03,400
Speaker 6: they're being recorded, probably from their experiences in their home countries.

643
00:37:03,440 --> 00:37:05,560
Speaker 6: And frankly, I don't even know if we're being recorded.

644
00:37:05,600 --> 00:37:08,200
Speaker 6: I just know that it can't be you are, it

645
00:37:08,239 --> 00:37:11,239
Speaker 6: can't be used, you know. I mean, so, yeah, there's

646
00:37:11,239 --> 00:37:15,920
Speaker 6: so many things that go into representing somebody who's detained,

647
00:37:16,440 --> 00:37:18,680
Speaker 6: and I just knows all of this full well. So

648
00:37:18,760 --> 00:37:21,120
Speaker 6: this is a very deliberate choice, and it's something we

649
00:37:21,200 --> 00:37:24,280
Speaker 6: haven't seen before, like ever. I mean, everybody's pretty shocked

650
00:37:24,280 --> 00:37:24,560
Speaker 6: by this.

651
00:37:25,080 --> 00:37:27,520
Speaker 5: Yeah, when did it begin, sort, I.

652
00:37:27,520 --> 00:37:30,440
Speaker 6: Want to say a couple months ago. But this mass

653
00:37:30,480 --> 00:37:32,440
Speaker 6: transfer they did that sparked us to talk to the

654
00:37:32,480 --> 00:37:36,400
Speaker 6: press and so forth was over Memorial Day weekend. So

655
00:37:36,480 --> 00:37:38,880
Speaker 6: they liked to do that too. I've noticed over holiday

656
00:37:38,880 --> 00:37:41,680
Speaker 6: weekends because last year they were trying to deport a

657
00:37:41,719 --> 00:37:44,200
Speaker 6: couple of my clients even though they had things pending,

658
00:37:44,719 --> 00:37:47,000
Speaker 6: and they try to do it over the weekend and

659
00:37:47,080 --> 00:37:50,040
Speaker 6: so on purpose, right, and so the client's families would

660
00:37:50,040 --> 00:37:53,120
Speaker 6: call and be like, hey, he's being printed, like processed

661
00:37:53,120 --> 00:37:56,440
Speaker 6: for being deported, and so we immediately Yeah, I had

662
00:37:56,440 --> 00:37:58,839
Speaker 6: to do this twice a year ago, so I had

663
00:37:58,880 --> 00:38:02,040
Speaker 6: to send two emails based documenting and ceasing the ICE

664
00:38:02,080 --> 00:38:06,160
Speaker 6: attorney being like hy, they have a pending XYZ case.

665
00:38:06,960 --> 00:38:11,680
Speaker 6: It is unlawful to stop what you're doing immediately. But like,

666
00:38:12,000 --> 00:38:14,560
Speaker 6: had we not been notified over the weekend and sent

667
00:38:14,600 --> 00:38:17,680
Speaker 6: that email, they would have been deported despite having a

668
00:38:17,719 --> 00:38:20,160
Speaker 6: k So this is the type of stuff that regularly happens.

669
00:38:20,200 --> 00:38:22,880
Speaker 6: But it's very ballsy to me to transfer, Like I

670
00:38:22,920 --> 00:38:25,440
Speaker 6: think it was probably like one hundred people or hundreds

671
00:38:25,520 --> 00:38:28,040
Speaker 6: or something, you know, I mean over a Memorial Day weekend,

672
00:38:28,360 --> 00:38:30,040
Speaker 6: you know. And of course, oh, their memo, by the way,

673
00:38:30,080 --> 00:38:33,520
Speaker 6: also says they're supposed to notify the attorneys, you know.

674
00:38:33,840 --> 00:38:36,040
Speaker 6: I mean, I heard from frantic family members who are like,

675
00:38:36,040 --> 00:38:38,240
Speaker 6: why the fuck am I getting a call from ants

676
00:38:38,239 --> 00:38:39,480
Speaker 6: in Texas?

677
00:38:40,280 --> 00:38:40,440
Speaker 9: Oh?

678
00:38:40,480 --> 00:38:42,919
Speaker 6: Oh, and this is rich. You'll appreciate this. It wasn't

679
00:38:42,920 --> 00:38:46,680
Speaker 6: even one transfer. They first went to Eden, Texas, which

680
00:38:46,719 --> 00:38:50,160
Speaker 6: is another lovely place in Texas. And then a week

681
00:38:50,280 --> 00:38:54,160
Speaker 6: later we're moved to this place called blue Bonnet because

682
00:38:54,160 --> 00:38:57,120
Speaker 6: they have to give them pretty names, right, detention facility

683
00:38:57,160 --> 00:39:00,279
Speaker 6: at Antsen. Yeah, and so I had arranged a egal

684
00:39:00,360 --> 00:39:02,399
Speaker 6: call it the first attach a facility and then had

685
00:39:02,400 --> 00:39:04,600
Speaker 6: to like do it all, do this process all over again,

686
00:39:04,640 --> 00:39:06,680
Speaker 6: and they ask you for everything but like your DNA

687
00:39:06,760 --> 00:39:08,400
Speaker 6: in order to prove that you're their attorney, you know,

688
00:39:08,440 --> 00:39:10,319
Speaker 6: to get this legal call. I mean, I spent two

689
00:39:10,320 --> 00:39:12,080
Speaker 6: weeks just trying to figure out where my client was

690
00:39:12,440 --> 00:39:14,840
Speaker 6: and these are two. Imagine this is sucked up like

691
00:39:15,320 --> 00:39:19,080
Speaker 6: all my time since Memorial Day. I mean, there's other clients,

692
00:39:19,480 --> 00:39:21,800
Speaker 6: you know, I've I've been struggling to get to their cases.

693
00:39:21,880 --> 00:39:24,759
Speaker 6: Like thankfully I haven't had too many deadlines, but I

694
00:39:24,800 --> 00:39:26,800
Speaker 6: mean it's it's been brutal.

695
00:39:27,400 --> 00:39:30,640
Speaker 5: Yeah, that secks talking brutal, pointing. We have the brutal

696
00:39:30,680 --> 00:39:33,200
Speaker 5: obligation to transfer to ads for a second time. So

697
00:39:33,200 --> 00:39:34,759
Speaker 5: we're going to do that and then we're going to

698
00:39:34,800 --> 00:39:47,520
Speaker 5: come back. All right, we're back. So we've heard about

699
00:39:47,520 --> 00:39:52,000
Speaker 5: how ice A transferring people across to different different parts

700
00:39:52,040 --> 00:39:54,120
Speaker 5: of the United States. What I wanted to talk about

701
00:39:54,160 --> 00:39:58,439
Speaker 5: now was another recent development, which was Joe Biden's executive order,

702
00:39:58,600 --> 00:40:00,959
Speaker 5: not the very recent one on role in place. People

703
00:40:00,960 --> 00:40:04,800
Speaker 5: have seen that, but it's one quote unquote closing the border.

704
00:40:05,480 --> 00:40:10,400
Speaker 5: Can you explain, we haven't really seen that impact on

705
00:40:10,440 --> 00:40:13,040
Speaker 5: the ground yet, but can you explain, these people are

706
00:40:13,040 --> 00:40:16,719
Speaker 5: supposed to get essentially a document forbidding them from reentering

707
00:40:16,760 --> 00:40:18,480
Speaker 5: for five years.

708
00:40:18,480 --> 00:40:23,080
Speaker 6: Correct, And it's not just any document, Yes, it's the

709
00:40:23,200 --> 00:40:26,840
Speaker 6: worst document. So it is an expedited removal which is

710
00:40:26,920 --> 00:40:31,160
Speaker 6: a fancy term for a deportation order that when issued

711
00:40:31,200 --> 00:40:35,120
Speaker 6: by Border Patrol CBP, carries with it a five year bar,

712
00:40:35,680 --> 00:40:38,359
Speaker 6: and so that means you're not admissible in any way,

713
00:40:38,400 --> 00:40:40,960
Speaker 6: shape or form to the United States, and if you

714
00:40:41,040 --> 00:40:44,360
Speaker 6: try to re enter during that time period or even

715
00:40:44,480 --> 00:40:48,799
Speaker 6: at any time irregularly, you will then be put in

716
00:40:48,840 --> 00:40:51,880
Speaker 6: what's called withholding only proceedings, and that essentially means you

717
00:40:51,880 --> 00:40:54,880
Speaker 6: were no longer eligible for anything, not even asylum, just

718
00:40:54,920 --> 00:40:57,839
Speaker 6: a very very difficult form of asylum, which is called

719
00:40:57,880 --> 00:41:00,680
Speaker 6: withholding or protection of the Convention. It's torture, which is

720
00:41:00,719 --> 00:41:03,360
Speaker 6: also very difficult to win. So that those are the

721
00:41:03,360 --> 00:41:06,080
Speaker 6: two things you're stuck fighting. And then you are also

722
00:41:06,239 --> 00:41:09,960
Speaker 6: mandatory attention, so there's no possibility of you getting out

723
00:41:10,000 --> 00:41:11,680
Speaker 6: unless you're in your case, which is of course very

724
00:41:11,719 --> 00:41:16,040
Speaker 6: very difficult. So can I haven't seen this play out,

725
00:41:16,239 --> 00:41:19,799
Speaker 6: you know, like we're saying, it's it's relatively new, and yeah,

726
00:41:19,840 --> 00:41:22,919
Speaker 6: but I can imagine based on my experience and based

727
00:41:22,920 --> 00:41:24,479
Speaker 6: on what all of us know, that like, people aren't

728
00:41:24,480 --> 00:41:27,239
Speaker 6: gonna have any idea what this is, and they're gonna

729
00:41:27,480 --> 00:41:29,680
Speaker 6: and plus there's desperation and other fact. I mean, they

730
00:41:29,680 --> 00:41:31,000
Speaker 6: just came to the dairy end. They're not gonna let

731
00:41:31,000 --> 00:41:34,200
Speaker 6: a piece of paper stop them, you know. So, I mean,

732
00:41:34,760 --> 00:41:36,799
Speaker 6: so these people are probably going to turn around and

733
00:41:36,800 --> 00:41:40,239
Speaker 6: try again and end up being in this withholding only posture,

734
00:41:40,280 --> 00:41:44,520
Speaker 6: which means they're now really screwed in terms of having

735
00:41:44,560 --> 00:41:47,319
Speaker 6: a way difficult time winning any sort of relief and

736
00:41:47,560 --> 00:41:51,200
Speaker 6: definitely detained, like they will not be released. I've had

737
00:41:52,040 --> 00:41:55,279
Speaker 6: clients on occasion like every blue moon be released, but

738
00:41:55,320 --> 00:41:57,000
Speaker 6: the way I is acting these days, I don't think

739
00:41:57,000 --> 00:42:00,200
Speaker 6: it'll happen. So one of the thoughts I had is

740
00:42:00,200 --> 00:42:06,359
Speaker 6: is this justifying additional detention centers if we're now having

741
00:42:06,600 --> 00:42:09,000
Speaker 6: going to have probably more of those types of people,

742
00:42:10,000 --> 00:42:12,200
Speaker 6: But its just in general, I don't see there being

743
00:42:12,200 --> 00:42:14,960
Speaker 6: a shortage of people they can detain, So I think.

744
00:42:15,120 --> 00:42:17,920
Speaker 5: Yeah, no, I think they Yeah. I don't think that

745
00:42:18,000 --> 00:42:20,239
Speaker 5: we have an option in November to vote for a

746
00:42:20,239 --> 00:42:22,160
Speaker 5: person who isn't going to build more prisons.

747
00:42:21,880 --> 00:42:25,400
Speaker 6: For refugees one hundred percent, one hundred percent, which is

748
00:42:26,440 --> 00:42:29,719
Speaker 6: which is why. And I think that's something very you know,

749
00:42:29,840 --> 00:42:32,000
Speaker 6: it can be you can take it and be like, Okay,

750
00:42:32,040 --> 00:42:34,040
Speaker 6: I'm so depressed, you know, blah blah, there's nobody to

751
00:42:34,120 --> 00:42:37,840
Speaker 6: vote for, like you know, because basically Biden has done,

752
00:42:37,880 --> 00:42:39,520
Speaker 6: you know, gravitated so far to the right.

753
00:42:39,560 --> 00:42:41,120
Speaker 5: I called all the stuff that they waved it up

754
00:42:41,160 --> 00:42:43,040
Speaker 5: in twenty twenty sod Trump will do this. Biden has

755
00:42:43,080 --> 00:42:44,399
Speaker 5: story exactly right.

756
00:42:44,440 --> 00:42:46,040
Speaker 6: And so I don't even know that I called him

757
00:42:46,080 --> 00:42:47,439
Speaker 6: Trump Light, but I don't even know if he's Trump

758
00:42:47,480 --> 00:42:49,879
Speaker 6: light anymore. He's like more like Trump medium or almost there,

759
00:42:49,960 --> 00:42:50,239
Speaker 6: you know.

760
00:42:50,280 --> 00:42:53,560
Speaker 5: So less racist speeches.

761
00:42:53,520 --> 00:42:56,400
Speaker 6: Exactly, Trump minus the racist speeches exactly. So it's just,

762
00:42:56,520 --> 00:42:59,480
Speaker 6: I mean, so the way to look at this is

763
00:42:59,520 --> 00:43:03,839
Speaker 6: that like literally we are their only hope. I mean,

764
00:43:04,080 --> 00:43:07,200
Speaker 6: the government here is not only like not only gonna

765
00:43:07,280 --> 00:43:11,480
Speaker 6: not save them from anything. They're in creating all these situations,

766
00:43:11,480 --> 00:43:15,239
Speaker 6: putting them in more peril. So it really behooves us

767
00:43:15,280 --> 00:43:18,239
Speaker 6: to find all the different grassroots organizations, and there's there's

768
00:43:18,280 --> 00:43:21,480
Speaker 6: so many of them that we can help and donate

769
00:43:21,520 --> 00:43:24,399
Speaker 6: involundar teer our time too, because that's literally all these

770
00:43:24,440 --> 00:43:25,000
Speaker 6: people have.

771
00:43:25,560 --> 00:43:27,560
Speaker 5: Yeah, so let's talk about that a bit, because something

772
00:43:27,640 --> 00:43:30,280
Speaker 5: both you and I do as we participate in water drops,

773
00:43:30,520 --> 00:43:33,560
Speaker 5: in in migrant aid of various kinds, welcome stations of

774
00:43:33,640 --> 00:43:35,960
Speaker 5: the thing we've been doing recently. You know, you and

775
00:43:36,040 --> 00:43:39,520
Speaker 5: I were out Now I'm just going to collapse on itself,

776
00:43:40,480 --> 00:43:43,959
Speaker 5: but we were out in a place near the border.

777
00:43:44,120 --> 00:43:45,959
Speaker 5: We were there when we met the two Mauritanian dudes.

778
00:43:46,000 --> 00:43:49,560
Speaker 5: You carried the Chinese exactly. Yeah, Yeah, it was so beautiful, right, Yeah,

779
00:43:49,600 --> 00:43:51,920
Speaker 5: it was such a wonderful Like obviously it's pretty bleak

780
00:43:52,000 --> 00:43:53,440
Speaker 5: that the guys aren't able to use one of his

781
00:43:53,520 --> 00:43:56,120
Speaker 5: legs properly, and yeah, therefore two people who don't share

782
00:43:56,120 --> 00:43:59,000
Speaker 5: a single word with him had to carry him. These

783
00:43:59,000 --> 00:44:01,759
Speaker 5: two Mauritanian men met. I'll just rewind to tell the

784
00:44:01,760 --> 00:44:04,440
Speaker 5: whole story. Yeah, we were driving down the road and

785
00:44:04,440 --> 00:44:07,560
Speaker 5: we kept meeting groups of Mauritanian refugees coming north, and

786
00:44:07,600 --> 00:44:09,799
Speaker 5: we were able to help them by giving them water

787
00:44:09,920 --> 00:44:11,280
Speaker 5: in quick interruption.

788
00:44:11,360 --> 00:44:13,879
Speaker 6: By the way, I looked up Mauritanian and unsurprisingly, they

789
00:44:13,880 --> 00:44:19,640
Speaker 6: have female general mulation, child labor and basically any like

790
00:44:19,719 --> 00:44:21,719
Speaker 6: it's just horrific capital punishments.

791
00:44:21,800 --> 00:44:27,760
Speaker 5: Yeah, gay people, right exactly. So these people, very very nice,

792
00:44:28,920 --> 00:44:31,279
Speaker 5: just wanted mostly a bottle of water, and you know

793
00:44:31,360 --> 00:44:33,480
Speaker 5: how far tw weekend surrounded to border Cotrol, which is

794
00:44:33,520 --> 00:44:36,200
Speaker 5: what they intend to do. And they kept saying that

795
00:44:36,200 --> 00:44:38,040
Speaker 5: there's a guy with a broken leg, and we were like,

796
00:44:38,040 --> 00:44:40,719
Speaker 5: oh shit, like, but that's potentially fatal in this place

797
00:44:40,719 --> 00:44:42,960
Speaker 5: that we're at. They just keep saying, go down the road,

798
00:44:42,960 --> 00:44:44,200
Speaker 5: you'll see him. So we keep going down the road

799
00:44:44,200 --> 00:44:47,000
Speaker 5: and we come around the corner and there's two guys

800
00:44:47,440 --> 00:44:49,000
Speaker 5: sort of eat and then a third guy in the

801
00:44:49,000 --> 00:44:52,040
Speaker 5: middle of them with his hands over both their shoulders, right,

802
00:44:52,040 --> 00:44:54,440
Speaker 5: and they're sort of humping him down the road. And

803
00:44:54,480 --> 00:44:58,440
Speaker 5: it turns out this Chinese man only speaking Mandarin, he

804
00:44:58,520 --> 00:45:01,960
Speaker 5: had like a brace, like an external fixation on his leg,

805
00:45:02,040 --> 00:45:05,920
Speaker 5: like like bolts through his leg and couldn't walk. And

806
00:45:05,960 --> 00:45:07,799
Speaker 5: these dudes have been carrying him for two days and

807
00:45:07,800 --> 00:45:11,280
Speaker 5: they couldn't she speak the same language like they didn't.

808
00:45:11,400 --> 00:45:14,480
Speaker 5: They weren't able to communicate, and it was the most

809
00:45:14,560 --> 00:45:17,000
Speaker 5: humane thing, and it made me just so ashamed that

810
00:45:17,120 --> 00:45:20,560
Speaker 5: like these people, in a time of desperation for themselves,

811
00:45:20,560 --> 00:45:23,239
Speaker 5: have taken the risk to help other people, and then

812
00:45:23,280 --> 00:45:26,880
Speaker 5: here's our government just being like, screw you. If you

813
00:45:26,920 --> 00:45:28,840
Speaker 5: don't belong here, we're going to put you straight in prison.

814
00:45:28,960 --> 00:45:32,799
Speaker 5: Or especially these these are mostly Muslim African men from

815
00:45:33,040 --> 00:45:35,600
Speaker 5: Mauritania right there. They're generally sort of that that will

816
00:45:35,640 --> 00:45:39,960
Speaker 5: be one of the more persecuted demographics. And perhaps you

817
00:45:39,960 --> 00:45:42,960
Speaker 5: can talk about like how you got into participating in

818
00:45:42,960 --> 00:45:45,360
Speaker 5: water drops and how other people could do so, or

819
00:45:45,400 --> 00:45:48,760
Speaker 5: any any form of a direct mutual aid I supposed

820
00:45:48,760 --> 00:45:50,200
Speaker 5: to says like advocacy.

821
00:45:50,920 --> 00:45:54,279
Speaker 6: Yeah, yeah, absolutely, I mean I think I think the

822
00:45:54,320 --> 00:45:58,560
Speaker 6: main thing to take away is that it's easier to

823
00:45:58,640 --> 00:46:04,120
Speaker 6: help or participate then one would think. You know, I

824
00:46:04,120 --> 00:46:07,000
Speaker 6: think you look at this issue of immigration and it's

825
00:46:07,040 --> 00:46:11,440
Speaker 6: so overwhelming right now, and it can be a bit like,

826
00:46:11,560 --> 00:46:13,680
Speaker 6: oh god, you know, what can I possibly do? Or

827
00:46:13,719 --> 00:46:16,120
Speaker 6: you know, and even if i'm you know, what difference

828
00:46:16,120 --> 00:46:16,800
Speaker 6: am I making?

829
00:46:16,960 --> 00:46:17,200
Speaker 1: You know?

830
00:46:17,400 --> 00:46:20,760
Speaker 6: And it's just like I have the same struggles working

831
00:46:20,800 --> 00:46:23,799
Speaker 6: as you know, an immigration attorney, because you're just like God,

832
00:46:23,880 --> 00:46:27,839
Speaker 6: you see just the vast need and you know, you

833
00:46:27,880 --> 00:46:29,640
Speaker 6: focus on the person in front of you, you know,

834
00:46:29,680 --> 00:46:32,040
Speaker 6: And not to sound cheesy, but that's the life you

835
00:46:32,040 --> 00:46:36,000
Speaker 6: can affect and so we're and all of us collectively

836
00:46:36,640 --> 00:46:39,319
Speaker 6: have an impact more than we know, you know. So

837
00:46:39,360 --> 00:46:40,880
Speaker 6: I think that's just the first thing to share. So

838
00:46:40,920 --> 00:46:46,359
Speaker 6: don't don't feel defeated and think that. Remember that if

839
00:46:46,400 --> 00:46:49,120
Speaker 6: you have twenty extra bucks a month to spare, for example,

840
00:46:49,320 --> 00:46:55,040
Speaker 6: like if you donate that to supplies for migrants, then

841
00:46:55,520 --> 00:46:59,040
Speaker 6: that literally allows the work of water dropping to continue.

842
00:46:59,080 --> 00:47:02,400
Speaker 6: And you know, that's the other side of the coin.

843
00:47:02,760 --> 00:47:04,239
Speaker 6: If we can go out all we want, but if

844
00:47:04,239 --> 00:47:07,720
Speaker 6: we don't have money or supplies to drop, then nothing

845
00:47:07,760 --> 00:47:10,200
Speaker 6: gets done, you know. So if you live in any

846
00:47:10,200 --> 00:47:13,000
Speaker 6: part of the country, really you can find a reputable organization,

847
00:47:13,160 --> 00:47:16,200
Speaker 6: you know, or BRC is a collective. I volunteer with

848
00:47:16,239 --> 00:47:21,239
Speaker 6: Borderlands Relief Collective and every cent goes directly to the

849
00:47:21,280 --> 00:47:25,440
Speaker 6: supplies that we drop, and that's a very it's huge

850
00:47:25,560 --> 00:47:29,240
Speaker 6: tangible source of help. All of our supplies are consumed,

851
00:47:29,239 --> 00:47:31,439
Speaker 6: as you know, within a week or so, we think,

852
00:47:31,640 --> 00:47:35,640
Speaker 6: you know. So it's just there's so many different ways

853
00:47:35,719 --> 00:47:40,359
Speaker 6: to to participate. There's organizations that allow you to talk

854
00:47:40,440 --> 00:47:44,120
Speaker 6: to detained immigrants, you know, like Freedom for Immigrants or

855
00:47:44,120 --> 00:47:46,040
Speaker 6: you know, there's different ways you can help. If you

856
00:47:46,080 --> 00:47:49,239
Speaker 6: want to communicate with them. There's also detention Resistance, who

857
00:47:49,280 --> 00:47:52,239
Speaker 6: works with the people mainly in No Taimesa to help

858
00:47:52,480 --> 00:47:57,799
Speaker 6: just provide even a source of support, just someone a

859
00:47:57,880 --> 00:48:00,160
Speaker 6: human being to talk to, who can help them with

860
00:48:00,200 --> 00:48:02,560
Speaker 6: little things like writing letters or putting money in their

861
00:48:02,560 --> 00:48:06,520
Speaker 6: account to be able to contact family members. I say

862
00:48:06,520 --> 00:48:08,960
Speaker 6: little things, but those things are huge because if you

863
00:48:09,000 --> 00:48:12,759
Speaker 6: can imagine being an immigrant in another country and you

864
00:48:12,800 --> 00:48:15,520
Speaker 6: know somebody in that and you're in a prison, but

865
00:48:15,600 --> 00:48:17,879
Speaker 6: somebody in that country or a few people are are

866
00:48:18,360 --> 00:48:21,120
Speaker 6: showing you love. I think at the end of the day,

867
00:48:21,320 --> 00:48:24,759
Speaker 6: whether you're officially deported or when asylum or whatever, those

868
00:48:24,760 --> 00:48:27,840
Speaker 6: are the things that stick with people because I know

869
00:48:27,920 --> 00:48:29,960
Speaker 6: that they're going to remember that probably for the rest

870
00:48:29,960 --> 00:48:30,520
Speaker 6: of their lives.

871
00:48:30,840 --> 00:48:32,480
Speaker 5: Yeah, And I think it's the least we can do

872
00:48:32,600 --> 00:48:36,040
Speaker 5: to be welcoming with exactly exactly.

873
00:48:36,080 --> 00:48:37,680
Speaker 6: That's why the welcome stations that we do are so

874
00:48:37,719 --> 00:48:39,520
Speaker 6: beautiful too, right, because it's just I mean, what we

875
00:48:39,520 --> 00:48:41,720
Speaker 6: were doing that day when we met those two people

876
00:48:41,840 --> 00:48:44,440
Speaker 6: or the three people rather, and it's just like they

877
00:48:44,520 --> 00:48:49,040
Speaker 6: get they get a help a loving, helpful person as

878
00:48:49,080 --> 00:48:52,239
Speaker 6: their first exposure to the United States, and then you know,

879
00:48:52,320 --> 00:48:54,359
Speaker 6: I said, instead of border patrol, which makes them take

880
00:48:54,360 --> 00:48:56,239
Speaker 6: off their shoelaces and treats them like you know.

881
00:48:57,080 --> 00:49:01,360
Speaker 5: Criminals, exactly exactly, and it's nice. I I've exchanged for

882
00:49:01,520 --> 00:49:02,960
Speaker 5: numbers of those people and they're like, oh, you're the

883
00:49:02,960 --> 00:49:05,439
Speaker 5: first American I met. You'll always be like my first

884
00:49:05,440 --> 00:49:07,440
Speaker 5: American friend. Someone'sta the other day and I thought that

885
00:49:07,480 --> 00:49:08,080
Speaker 5: was really sweet.

886
00:49:08,480 --> 00:49:10,719
Speaker 6: It's a beautiful thing. It's a beautiful thing. I think

887
00:49:10,719 --> 00:49:12,799
Speaker 6: about that all the time with my clients. You know,

888
00:49:12,800 --> 00:49:15,640
Speaker 6: I'm just like God, I feel so fortunate to meet

889
00:49:15,680 --> 00:49:17,880
Speaker 6: all these people, you know, from different countries. It's just

890
00:49:18,440 --> 00:49:20,480
Speaker 6: and I'm embarrassed to say that I have to usually

891
00:49:20,520 --> 00:49:22,320
Speaker 6: google where the country is, you know.

892
00:49:22,440 --> 00:49:23,560
Speaker 7: I mean, it's awful.

893
00:49:23,560 --> 00:49:26,359
Speaker 6: I don't know what our geography education was, but let's

894
00:49:26,360 --> 00:49:28,239
Speaker 6: just say I didn't get much of it. But you know,

895
00:49:28,320 --> 00:49:30,080
Speaker 6: just where am I going to meet people from Belize,

896
00:49:30,080 --> 00:49:33,960
Speaker 6: from Kenya, from Trinidad, from Chad, you know, and be

897
00:49:34,000 --> 00:49:36,240
Speaker 6: able to really share life with them to a certain

898
00:49:36,280 --> 00:49:39,320
Speaker 6: extent or you know, I know their most vulnerable and

899
00:49:39,360 --> 00:49:41,680
Speaker 6: awful experiences. I know their family, you know, or about

900
00:49:41,719 --> 00:49:45,560
Speaker 6: their families and about them, and it's a really beautiful thing.

901
00:49:45,719 --> 00:49:49,080
Speaker 6: So it's just, you know, unfortunate. So to have to

902
00:49:49,120 --> 00:49:52,120
Speaker 6: interact with them and in a prison is just you know,

903
00:49:52,200 --> 00:49:55,759
Speaker 6: it's just it's just ridiculous, you know. But so that's

904
00:49:55,760 --> 00:49:58,279
Speaker 6: why those welcome tables are I think so just pure

905
00:49:58,320 --> 00:50:01,640
Speaker 6: and precious because at that moment there's no bullshit involved yet,

906
00:50:01,680 --> 00:50:04,680
Speaker 6: there's no US government. It's just humans interacting with humans.

907
00:50:04,800 --> 00:50:07,479
Speaker 5: Yeah, it totally is really nice. It's one of the

908
00:50:07,480 --> 00:50:10,160
Speaker 5: better things that I like to do. And yeah, if

909
00:50:10,160 --> 00:50:11,320
Speaker 5: you if a replace where you can do it, you

910
00:50:11,360 --> 00:50:13,279
Speaker 5: should do it. If you're not, it would be great

911
00:50:13,320 --> 00:50:15,000
Speaker 5: if you get in your money. I am going to

912
00:50:15,080 --> 00:50:18,280
Speaker 5: read as we finish up a plug for the sidewalk

913
00:50:18,320 --> 00:50:21,759
Speaker 5: school Matamoros and they NOSA. I just want to like

914
00:50:22,200 --> 00:50:24,080
Speaker 5: they are in desperate need the money right now. They

915
00:50:24,120 --> 00:50:27,160
Speaker 5: do amazing work with people on both sides of the border.

916
00:50:27,400 --> 00:50:29,680
Speaker 5: I've been on a panel with Felicia for UCLA that

917
00:50:30,320 --> 00:50:32,120
Speaker 5: you can find if you're good at googling things. It's

918
00:50:32,120 --> 00:50:36,360
Speaker 5: on YouTube. It's the Allied Community Arts Brigade. UCLA hosted

919
00:50:36,640 --> 00:50:38,480
Speaker 5: the panel, so if you if you search that and

920
00:50:38,760 --> 00:50:40,520
Speaker 5: border panel, I'm sure you'll find it. And if you

921
00:50:40,560 --> 00:50:42,480
Speaker 5: want to know more about the Sidewalk School. I recommend it,

922
00:50:42,960 --> 00:50:46,000
Speaker 5: and we're joined there by people from Border Kindness and Alotlado,

923
00:50:46,040 --> 00:50:48,399
Speaker 5: which are both excellent organizations working on the border here.

924
00:50:49,160 --> 00:50:52,360
Speaker 5: But the Sidewalk School are working with refugees and assigum

925
00:50:52,400 --> 00:50:54,480
Speaker 5: seekers on both sides of the border in Matamoros and

926
00:50:54,520 --> 00:50:57,560
Speaker 5: by Alsa so in Texas area, and they definately need

927
00:50:57,560 --> 00:50:59,640
Speaker 5: your money. If you would like to support them, you

928
00:50:59,680 --> 00:51:05,800
Speaker 5: can go to gofund dot me slash zero six CDOC

929
00:51:06,080 --> 00:51:08,560
Speaker 5: seventy six and we'll include that in the notes of

930
00:51:08,600 --> 00:51:11,239
Speaker 5: this podcast as well. Kasin, thank you so much for

931
00:51:11,280 --> 00:51:12,759
Speaker 5: your time. We really appreciate it.

932
00:51:12,840 --> 00:51:25,200
Speaker 1: Thank you, James.

933
00:51:28,400 --> 00:51:30,040
Speaker 10: Welcome to take it up and to here a show

934
00:51:30,080 --> 00:51:32,520
Speaker 10: that today is very urgently about things falling apart in

935
00:51:32,600 --> 00:51:35,040
Speaker 10: Kenya and how to put them back together again. I'm

936
00:51:35,080 --> 00:51:38,400
Speaker 10: your host, Miya Long. What you're about to hear is

937
00:51:38,440 --> 00:51:41,600
Speaker 10: an interview about the Kenyan protest that was recorded on Sunday,

938
00:51:41,680 --> 00:51:44,560
Speaker 10: July twenty third. At time of recording, it is now

939
00:51:44,600 --> 00:51:46,759
Speaker 10: Tuesday the twenty fifth, and in that two day span,

940
00:51:46,880 --> 00:51:51,200
Speaker 10: the situation and Kenya has gotten significantly worse. Kenyan police

941
00:51:51,239 --> 00:51:54,439
Speaker 10: are firing live ammo into crowds of protesters. They've killed

942
00:51:54,440 --> 00:51:57,080
Speaker 10: at least five people today. That numbers expected to rise

943
00:51:57,080 --> 00:52:00,680
Speaker 10: as more protesters die in hospitals. The government has deployed

944
00:52:00,680 --> 00:52:02,520
Speaker 10: the army and shut down much of the internet in

945
00:52:02,520 --> 00:52:05,840
Speaker 10: an attempt to stop news from getting out. On Kenyan TV,

946
00:52:06,160 --> 00:52:08,840
Speaker 10: political leaders called the protesters criminals and a threat to

947
00:52:08,920 --> 00:52:13,760
Speaker 10: national security. Meanwhile, protesters made good on their slogan occupied

948
00:52:13,800 --> 00:52:16,919
Speaker 10: Parliament by storming and then partially burning down the parliament building.

949
00:52:17,000 --> 00:52:20,359
Speaker 10: As politicians continue to meet their demands with bullets. What

950
00:52:20,400 --> 00:52:24,360
Speaker 10: we've seen today is terrifying cops shooting live AMMO into churches,

951
00:52:24,400 --> 00:52:27,920
Speaker 10: cops opening fire on people waiting for medical care. Meanwhile,

952
00:52:28,040 --> 00:52:30,879
Speaker 10: to the fury of the protesters, Kenyan troops arrived today

953
00:52:30,880 --> 00:52:33,480
Speaker 10: in Haiti to begin the US backed occupation of the country.

954
00:52:34,239 --> 00:52:37,680
Speaker 10: We spent this interview largely discussing the local Kenyan political leads,

955
00:52:37,760 --> 00:52:40,520
Speaker 10: but this is also an international crisis. Much of the

956
00:52:40,520 --> 00:52:43,359
Speaker 10: impetus for the brutal tax increases on basic goods came

957
00:52:43,400 --> 00:52:46,880
Speaker 10: from an international monetary FUM bailout deal that required Kenya

958
00:52:46,920 --> 00:52:49,360
Speaker 10: to increase its taxes to twenty five percent of the

959
00:52:49,360 --> 00:52:54,400
Speaker 10: country's GDP. Thus Kenyans are being robbed twice, once by

960
00:52:54,400 --> 00:52:56,640
Speaker 10: the Kenyan political masters of the cops shooting them in

961
00:52:56,680 --> 00:52:59,400
Speaker 10: the streets, and again by the IMF and their neolibal

962
00:52:59,440 --> 00:53:03,600
Speaker 10: wealth extraction program. As the struggle continues. Let us now

963
00:53:03,640 --> 00:53:06,040
Speaker 10: turn to our interview into a more optimistic time and

964
00:53:06,160 --> 00:53:08,600
Speaker 10: movement to get a real understanding of what the protests

965
00:53:08,600 --> 00:53:14,080
Speaker 10: are about. Welcome to it could happen here a podcast

966
00:53:14,160 --> 00:53:17,480
Speaker 10: where the here is currently Kenya. Yeah, I'm your host

967
00:53:17,560 --> 00:53:20,719
Speaker 10: Miya Wong, and we're we're going to talk about a

968
00:53:20,760 --> 00:53:23,239
Speaker 10: bunch of protests and a bunch of very very very

969
00:53:23,239 --> 00:53:25,520
Speaker 10: interesting sort of political developments at Kenya that I think

970
00:53:25,560 --> 00:53:30,920
Speaker 10: have gotten very distressingly little coverage in the sort of

971
00:53:30,960 --> 00:53:34,040
Speaker 10: like Anglophone maation media. And with me to talk about

972
00:53:34,040 --> 00:53:37,879
Speaker 10: that is Justine Wanda's a stand up comedian, a political satirist,

973
00:53:38,040 --> 00:53:41,320
Speaker 10: and a writer who's created Fake Book with Justine about

974
00:53:41,640 --> 00:53:43,400
Speaker 10: well basically all the stuff that we're going to be

975
00:53:43,440 --> 00:53:45,319
Speaker 10: talking about today are there are things you will see

976
00:53:45,360 --> 00:53:47,919
Speaker 10: on this show. Justine. Welcome to the show.

977
00:53:48,840 --> 00:53:51,279
Speaker 11: Thank you so much for having me me. How are

978
00:53:51,280 --> 00:53:51,640
Speaker 11: you doing?

979
00:53:52,680 --> 00:53:52,919
Speaker 5: Ah?

980
00:53:53,600 --> 00:53:55,160
Speaker 10: You know this is this This is one of those

981
00:53:55,239 --> 00:53:59,040
Speaker 10: morning recordings so I'm a little bit unhinged, but it's okay.

982
00:53:59,400 --> 00:54:05,520
Speaker 10: We're I'm really excited to talk to you. So yeah, yeah,

983
00:54:05,680 --> 00:54:06,719
Speaker 10: I'm really excited to talk to you.

984
00:54:06,760 --> 00:54:07,319
Speaker 12: And I yeah.

985
00:54:07,360 --> 00:54:10,000
Speaker 10: So I think I think the place to start here

986
00:54:11,080 --> 00:54:14,520
Speaker 10: is can you talk about So these protests are about

987
00:54:15,000 --> 00:54:19,600
Speaker 10: an upcoming finance bill, So let's talk about what actually

988
00:54:19,719 --> 00:54:22,239
Speaker 10: is this bill and what's in it?

989
00:54:23,719 --> 00:54:26,560
Speaker 11: Okay, So for me to be able to talk about

990
00:54:26,560 --> 00:54:29,840
Speaker 11: the finance bill, I have to talk about the finance

991
00:54:29,840 --> 00:54:31,439
Speaker 11: bill that was past last year.

992
00:54:31,719 --> 00:54:32,279
Speaker 10: Yeah, go for it.

993
00:54:32,360 --> 00:54:36,680
Speaker 11: So in twoy twenty three, we had a finance bill

994
00:54:36,760 --> 00:54:40,759
Speaker 11: that was passed. Most of the financial last year had

995
00:54:40,800 --> 00:54:45,480
Speaker 11: something called the housing Levy, which basically requires every single

996
00:54:45,600 --> 00:54:49,040
Speaker 11: Kenyon who's employed to remove a little bit of their

997
00:54:49,040 --> 00:54:54,520
Speaker 11: salary to go directly to pay for an account where

998
00:54:54,520 --> 00:54:58,759
Speaker 11: they'll pull the money to build Kenyon's affordable houses. And

999
00:54:58,960 --> 00:55:03,080
Speaker 11: in Kenya, house is not especially a crisis in rural

1000
00:55:03,200 --> 00:55:06,400
Speaker 11: areas because most people have their own personal phones. The

1001
00:55:06,560 --> 00:55:09,920
Speaker 11: issue is usually the urban centers where housing is actually

1002
00:55:10,000 --> 00:55:14,240
Speaker 11: very expensive and it's it's very poorly infrastructured, like there's

1003
00:55:14,320 --> 00:55:18,000
Speaker 11: no water, sometimes there's no electricity in certain parts, like

1004
00:55:18,040 --> 00:55:22,200
Speaker 11: people have done a lot of illegal collection connections. So

1005
00:55:22,920 --> 00:55:25,920
Speaker 11: last year the bill was kind of rummed through and

1006
00:55:25,960 --> 00:55:28,880
Speaker 11: there was so much public participation. Actually in the beginning

1007
00:55:28,920 --> 00:55:31,840
Speaker 11: that was like a lot of people got angry about

1008
00:55:31,880 --> 00:55:35,040
Speaker 11: the bill forcing people to take money out of their

1009
00:55:35,080 --> 00:55:37,239
Speaker 11: pockets to contribute to a fund that didn't seem like

1010
00:55:37,239 --> 00:55:40,359
Speaker 11: they had a plan. And a lot of politicians were

1011
00:55:40,400 --> 00:55:43,920
Speaker 11: actually on TV and everyone was watching every interview and

1012
00:55:43,920 --> 00:55:48,520
Speaker 11: they're like, you don't make any sense, we don't understand. Yeah,

1013
00:55:48,600 --> 00:55:52,360
Speaker 11: it's like, what is that money for? We're not sure,

1014
00:55:52,400 --> 00:55:54,759
Speaker 11: but we know we're to building houses. How are you

1015
00:55:54,800 --> 00:55:56,759
Speaker 11: going to manage the money? Who's going to be in

1016
00:55:56,840 --> 00:55:59,960
Speaker 11: charge of the money. How is this? Like every single

1017
00:56:00,160 --> 00:56:03,799
Speaker 11: aspect was met by like some form of deflection or

1018
00:56:03,880 --> 00:56:07,320
Speaker 11: like a lie, just like a lot of there wasn't

1019
00:56:07,480 --> 00:56:11,359
Speaker 11: any accountability in the in what they were telling us.

1020
00:56:11,680 --> 00:56:14,279
Speaker 11: And even the person who was in charge was like

1021
00:56:14,320 --> 00:56:16,560
Speaker 11: on TV, he was sweating. He looked like he was

1022
00:56:16,640 --> 00:56:21,160
Speaker 11: lying though who wrote time. So everyone was like, if

1023
00:56:21,200 --> 00:56:24,720
Speaker 11: this is how you're speaking about it when we aren't

1024
00:56:24,760 --> 00:56:28,600
Speaker 11: giving out money, what will happen after the fact. But

1025
00:56:28,640 --> 00:56:31,560
Speaker 11: the bill sailed through and one of the elements that

1026
00:56:31,680 --> 00:56:35,520
Speaker 11: was in that field that wasn't even in the news

1027
00:56:35,840 --> 00:56:38,880
Speaker 11: was that avocado farmers in the country will start with

1028
00:56:39,040 --> 00:56:41,760
Speaker 11: charging us will be charged a certain amount of money

1029
00:56:41,760 --> 00:56:44,239
Speaker 11: on their produce and they have to produce receipts on

1030
00:56:44,280 --> 00:56:48,440
Speaker 11: this every single day. What like if yes, if you

1031
00:56:48,520 --> 00:56:53,120
Speaker 11: sell like an avocado, one avocado or of avocados, you

1032
00:56:53,200 --> 00:56:55,920
Speaker 11: have to do a breakdown of like your sales and

1033
00:56:56,000 --> 00:56:58,719
Speaker 11: like provide receipts to the government and then like you're

1034
00:56:58,840 --> 00:57:03,520
Speaker 11: charged for it. Oh my god, and yes, and the

1035
00:57:03,800 --> 00:57:07,719
Speaker 11: MPs this like earlier this year, were like when the

1036
00:57:07,920 --> 00:57:10,600
Speaker 11: bill usually like sometimes it takes a while for the

1037
00:57:11,480 --> 00:57:14,319
Speaker 11: closest to come into effect. It takes like maybe a

1038
00:57:14,320 --> 00:57:17,640
Speaker 11: couple of months. So the amoungst their farmers were supposed

1039
00:57:17,640 --> 00:57:21,680
Speaker 11: to get charged was supposed to go live on sorry

1040
00:57:21,680 --> 00:57:25,960
Speaker 11: in February or something. So in February, farmers are getting

1041
00:57:26,000 --> 00:57:29,160
Speaker 11: attacked by like the Kenure Revenue Authority. They're being told

1042
00:57:29,200 --> 00:57:31,320
Speaker 11: you need to provide these receipts and everything, and everyone

1043
00:57:31,400 --> 00:57:34,800
Speaker 11: is like, I don't understand because we weren't informed. And

1044
00:57:34,840 --> 00:57:37,680
Speaker 11: then the politicians who did not read the bill but

1045
00:57:37,840 --> 00:57:40,360
Speaker 11: first it were like, oh, we didn't read the document.

1046
00:57:40,440 --> 00:57:46,520
Speaker 11: It was too big what yes, exactly, So like that

1047
00:57:46,720 --> 00:57:49,920
Speaker 11: kind of information was what that was what was on

1048
00:57:49,960 --> 00:57:53,360
Speaker 11: the news just before they introduced now the financial twenty

1049
00:57:53,360 --> 00:57:55,440
Speaker 11: four So it's like, we know you didn't read the

1050
00:57:55,480 --> 00:57:59,919
Speaker 11: one from last year, you passed a bunch of bill,

1051
00:58:00,080 --> 00:58:03,200
Speaker 11: is that you didn't understand the impact of it in

1052
00:58:03,240 --> 00:58:06,360
Speaker 11: the long term, So why would should you? Why should

1053
00:58:06,400 --> 00:58:09,560
Speaker 11: Kenyans trust you with this new one? And then they

1054
00:58:09,560 --> 00:58:12,440
Speaker 11: were like, no, we have the best economic interests that

1055
00:58:12,680 --> 00:58:15,760
Speaker 11: had And then everyone was like, but the billy passed

1056
00:58:15,800 --> 00:58:19,680
Speaker 11: last year to increase revenue didn't work. So if it

1057
00:58:19,760 --> 00:58:22,880
Speaker 11: didn't work, what makes you think having a bunch of

1058
00:58:22,960 --> 00:58:26,160
Speaker 11: new taxes they're going to work. And they couldn't answer that.

1059
00:58:26,480 --> 00:58:30,240
Speaker 11: And now this finance built entertain wants to introduce much

1060
00:58:30,240 --> 00:58:32,800
Speaker 11: of your call tax, where if you own a car,

1061
00:58:34,080 --> 00:58:37,040
Speaker 11: you will pay like a certain amount like I think

1062
00:58:37,200 --> 00:58:43,080
Speaker 11: two percent that's of the voliation of your car, and

1063
00:58:43,120 --> 00:58:47,200
Speaker 11: you paid to your insurance company every single year.

1064
00:58:47,560 --> 00:58:48,480
Speaker 10: Wait do you insure?

1065
00:58:48,960 --> 00:58:50,840
Speaker 7: What?

1066
00:58:50,160 --> 00:58:50,200
Speaker 11: What?

1067
00:58:50,840 --> 00:58:51,040
Speaker 12: Why?

1068
00:58:51,160 --> 00:58:51,320
Speaker 1: Wait?

1069
00:58:52,240 --> 00:58:55,560
Speaker 10: Hold on, so why why is the tax? Why is

1070
00:58:55,600 --> 00:58:57,400
Speaker 10: this being paid to the insurance company?

1071
00:58:58,480 --> 00:59:01,920
Speaker 11: Because that's that's how people asking. It's like, we understand

1072
00:59:02,120 --> 00:59:05,760
Speaker 11: because insurance and Kenya is mostly run by private entities

1073
00:59:06,640 --> 00:59:09,680
Speaker 11: just know exactly what they're doing, so it's more like

1074
00:59:09,720 --> 00:59:12,360
Speaker 11: a way to privates and get money into people's protects

1075
00:59:12,400 --> 00:59:14,880
Speaker 11: so we can't see and then and end up being

1076
00:59:14,920 --> 00:59:17,720
Speaker 11: stolen and there will be no thoportability. But they say

1077
00:59:17,760 --> 00:59:21,040
Speaker 11: it's easier because the insurance company is already handled this

1078
00:59:21,160 --> 00:59:24,760
Speaker 11: kind of stuff. So it's on top of your insurance.

1079
00:59:24,800 --> 00:59:26,760
Speaker 11: On top of the insurance you pay for your car,

1080
00:59:27,120 --> 00:59:30,320
Speaker 11: you pay the motor vehicle tax as part of that.

1081
00:59:30,760 --> 00:59:33,880
Speaker 11: And I'm like, that's ridiculous. We don't trust our money

1082
00:59:33,920 --> 00:59:36,880
Speaker 11: on any given day. Why would you think we would

1083
00:59:36,960 --> 00:59:40,040
Speaker 11: just to suddenly with the branch of money being granted

1084
00:59:40,520 --> 00:59:44,080
Speaker 11: by a private from somewhere because they're not going to

1085
00:59:44,120 --> 00:59:45,040
Speaker 11: show us their books.

1086
00:59:45,240 --> 00:59:49,000
Speaker 10: Yes, it seems like part of this too, is just

1087
00:59:49,040 --> 00:59:52,120
Speaker 10: that the sort of tax infrastructure isn't very like the

1088
00:59:52,120 --> 00:59:54,600
Speaker 10: tax collection infrastructure isn't very good, because you would think

1089
00:59:54,640 --> 00:59:57,800
Speaker 10: that that wouldn't be that hard for the government to

1090
00:59:57,920 --> 01:00:01,840
Speaker 10: just collect. Instead, we have like a like an Ottoman

1091
01:00:01,960 --> 01:00:03,800
Speaker 10: style tax farming situation.

1092
01:00:05,920 --> 01:00:09,280
Speaker 11: So I love it you say that, because like that's

1093
01:00:09,360 --> 01:00:12,000
Speaker 11: how that's exactly how it feels like everything is run.

1094
01:00:12,240 --> 01:00:16,200
Speaker 11: It's very we're the smartest people in the room. We

1095
01:00:16,240 --> 01:00:18,480
Speaker 11: can't make the wrong decision. But you've made the wrong

1096
01:00:18,520 --> 01:00:21,040
Speaker 11: decision again and again and again, and now we're like,

1097
01:00:21,360 --> 01:00:24,000
Speaker 11: we want to see the approach. We want to understand

1098
01:00:24,000 --> 01:00:26,760
Speaker 11: how this is going to work in the face of unemployment,

1099
01:00:27,000 --> 01:00:29,800
Speaker 11: in the face of like the country has not been

1100
01:00:30,040 --> 01:00:34,160
Speaker 11: in good economic trajectory for a while now, and that

1101
01:00:34,480 --> 01:00:37,920
Speaker 11: those economic shocks can be felt. A lot of people

1102
01:00:37,920 --> 01:00:41,120
Speaker 11: are closing down their businesses. A lot of people are downsizing,

1103
01:00:41,200 --> 01:00:45,240
Speaker 11: which means it's less people employed. Even the beauty industry,

1104
01:00:45,280 --> 01:00:48,760
Speaker 11: which is mostly like random inputs, because they're chudgling so

1105
01:00:48,840 --> 01:00:52,280
Speaker 11: much input duty, the beauty industry can't even stand on

1106
01:00:52,400 --> 01:00:56,960
Speaker 11: its own, so people are not just buying less makeup.

1107
01:00:57,000 --> 01:00:59,200
Speaker 11: It's like people who are those stores and any of

1108
01:00:59,240 --> 01:01:01,720
Speaker 11: those kinds of basay. This is can't even have the

1109
01:01:01,840 --> 01:01:04,080
Speaker 11: like the person who comes to get the job days.

1110
01:01:04,640 --> 01:01:07,120
Speaker 11: It becomes a bit of a problem. So everyone is like,

1111
01:01:07,160 --> 01:01:09,360
Speaker 11: if you're going to charge us more, you have to

1112
01:01:09,440 --> 01:01:11,560
Speaker 11: have an infrastructure that works for us.

1113
01:01:11,960 --> 01:01:12,640
Speaker 12: Yeah.

1114
01:01:13,120 --> 01:01:16,400
Speaker 11: Yeah. Another tax that they're adding on the Finance bill

1115
01:01:16,480 --> 01:01:22,160
Speaker 11: is the inputs duty fee to like sanitary towels, wheelchair tired,

1116
01:01:22,920 --> 01:01:25,960
Speaker 11: like because like Kenya doesn't manufacture a lot of stuff.

1117
01:01:26,520 --> 01:01:30,440
Speaker 11: So you find like our like the pad manufacturing industry

1118
01:01:30,480 --> 01:01:35,040
Speaker 11: in Kenya, like sanitary towers, only two percent are manufactured here,

1119
01:01:35,640 --> 01:01:38,360
Speaker 11: like a big chunk comes from outside and they want

1120
01:01:38,400 --> 01:01:41,360
Speaker 11: to increase the input duty on that. So that means

1121
01:01:41,600 --> 01:01:43,600
Speaker 11: the pads in the market are going to be even

1122
01:01:43,680 --> 01:01:44,480
Speaker 11: more expensive.

1123
01:01:45,840 --> 01:01:48,280
Speaker 10: Yeah, and that's something that like that that's not that's

1124
01:01:48,320 --> 01:01:51,160
Speaker 10: not a like that's that's that's that's not a luxury good.

1125
01:01:51,200 --> 01:01:53,280
Speaker 10: You just need that.

1126
01:01:54,000 --> 01:01:58,040
Speaker 11: Yeah, So everyone was like, Okay, I guess though, we'll

1127
01:01:58,120 --> 01:02:01,880
Speaker 11: just have to stop having periods. Is like that, that's

1128
01:02:01,880 --> 01:02:06,560
Speaker 11: what you're saying, Like we're govern have to magically, Yeah,

1129
01:02:06,720 --> 01:02:08,960
Speaker 11: we're gonna have to figure out magically with nature to

1130
01:02:09,000 --> 01:02:11,439
Speaker 11: just stop having periods because you guys want to tax

1131
01:02:11,560 --> 01:02:16,000
Speaker 11: us in this particular way. And it's it's not just

1132
01:02:16,040 --> 01:02:19,520
Speaker 11: like the small things because like the problem with the

1133
01:02:19,680 --> 01:02:27,080
Speaker 11: Kenyans space, especially with sensitive issues. So our our third president,

1134
01:02:27,840 --> 01:02:32,480
Speaker 11: his name was Mikey Baki, was the first one of

1135
01:02:32,520 --> 01:02:36,040
Speaker 11: the first presidents in the world to remove v ty

1136
01:02:36,280 --> 01:02:40,560
Speaker 11: on sanitary towers. Like he was seen as like someone

1137
01:02:40,600 --> 01:02:44,440
Speaker 11: who's setting an example for so many people. And then

1138
01:02:44,480 --> 01:02:48,560
Speaker 11: the fact that this is happening when this country was

1139
01:02:48,560 --> 01:02:51,880
Speaker 11: seen as like a chin setter to like not just

1140
01:02:51,920 --> 01:02:54,120
Speaker 11: African countries but other countries around the world when it

1141
01:02:54,120 --> 01:02:59,760
Speaker 11: comes to like very important goods, it was felt like

1142
01:03:00,160 --> 01:03:03,160
Speaker 11: going backwards, and not in a way. It's not like

1143
01:03:03,200 --> 01:03:05,640
Speaker 11: we didn't have an example to follow. We actually did

1144
01:03:05,760 --> 01:03:08,680
Speaker 11: have a set precedent on like how an economy is

1145
01:03:08,720 --> 01:03:12,040
Speaker 11: supposed to work. So everyone who's grown up in these

1146
01:03:12,120 --> 01:03:16,480
Speaker 11: particular environments where they felt safe and protected by the

1147
01:03:16,560 --> 01:03:18,760
Speaker 11: government and like the government taking they live on very

1148
01:03:18,760 --> 01:03:24,040
Speaker 11: important issues was like, you can't say building Kenya, buying

1149
01:03:24,120 --> 01:03:27,040
Speaker 11: Kenya is a top priority for you. And even electricity

1150
01:03:27,040 --> 01:03:31,000
Speaker 11: costs are expensive, yeah, because even this will adds like

1151
01:03:31,040 --> 01:03:35,880
Speaker 11: a fewel levy tax it's going up by seven shillings,

1152
01:03:36,680 --> 01:03:40,360
Speaker 11: which is way too expensive. So you pay for your fuel,

1153
01:03:40,760 --> 01:03:43,280
Speaker 11: but like most of the charges on the fuel is

1154
01:03:43,400 --> 01:03:47,080
Speaker 11: just the levees and taxes and they're adding a little

1155
01:03:47,080 --> 01:03:48,040
Speaker 11: bit more year.

1156
01:03:49,080 --> 01:03:51,800
Speaker 10: And it seems like from the way that these are

1157
01:03:51,800 --> 01:03:54,720
Speaker 10: being structured that you know, I mean, one of the

1158
01:03:54,720 --> 01:03:57,400
Speaker 10: things with direct like I guess we call them sales

1159
01:03:57,440 --> 01:04:01,760
Speaker 10: taxes here is that the incredibly regressive. The people who

1160
01:04:01,760 --> 01:04:04,880
Speaker 10: get affected the most by are the people who you

1161
01:04:05,040 --> 01:04:08,200
Speaker 10: don't have that much money versus something like doing you know,

1162
01:04:08,680 --> 01:04:11,080
Speaker 10: versus doing like an income tax, and like the people

1163
01:04:11,120 --> 01:04:13,560
Speaker 10: who are the highest owners. This is this the burden,

1164
01:04:13,600 --> 01:04:16,040
Speaker 10: This falls entirely on people who are poor and can't

1165
01:04:16,040 --> 01:04:16,560
Speaker 10: afford it.

1166
01:04:17,320 --> 01:04:20,960
Speaker 11: Yes, that's I think it's very scary to think a

1167
01:04:21,000 --> 01:04:24,520
Speaker 11: lot of our politicians because they get paid with taxpayer money,

1168
01:04:24,720 --> 01:04:27,400
Speaker 11: and what they did when during when they were writing,

1169
01:04:27,640 --> 01:04:29,880
Speaker 11: when they were contributing to the budget, they were like,

1170
01:04:30,000 --> 01:04:33,320
Speaker 11: we want we want this and this, want to be

1171
01:04:33,360 --> 01:04:35,520
Speaker 11: added for this and this thing. But the problem is,

1172
01:04:35,560 --> 01:04:38,080
Speaker 11: like when you look deep down what they're looking for,

1173
01:04:38,160 --> 01:04:40,920
Speaker 11: they don't want to pay taxes off of their salaries.

1174
01:04:40,960 --> 01:04:43,800
Speaker 11: They want to find a way for taxpayers to pay

1175
01:04:44,240 --> 01:04:46,200
Speaker 11: for part of the taxes that are being added so

1176
01:04:46,240 --> 01:04:49,680
Speaker 11: that they don't have to lose money. Yeah, and every yeah,

1177
01:04:49,720 --> 01:04:52,280
Speaker 11: everyone is like, we know your budgeting for corruption. We

1178
01:04:52,320 --> 01:04:56,439
Speaker 11: can see you, we can see still, we can see

1179
01:04:56,440 --> 01:04:58,560
Speaker 11: you still, and we don't want to be part of that.

1180
01:04:58,640 --> 01:05:02,000
Speaker 11: And now to them it was like we're being aggressive

1181
01:05:02,080 --> 01:05:05,480
Speaker 11: because we want we want them to be held accountable

1182
01:05:05,520 --> 01:05:08,439
Speaker 11: for their very punitive for the punitive measures that they're

1183
01:05:08,440 --> 01:05:11,520
Speaker 11: sending to like regular opinions. As you said, a lot

1184
01:05:11,520 --> 01:05:16,000
Speaker 11: of sales taps is affect every day before and we

1185
01:05:16,040 --> 01:05:18,600
Speaker 11: don't know how else to stop it. And I think

1186
01:05:18,640 --> 01:05:21,680
Speaker 11: that's why they protest are so they're catching fire and

1187
01:05:21,760 --> 01:05:23,400
Speaker 11: everyone wants to be out in the street.

1188
01:05:25,320 --> 01:05:27,280
Speaker 10: Yeah, and we are going to we are going to

1189
01:05:27,280 --> 01:05:29,080
Speaker 10: come back and talk about the protests in a second,

1190
01:05:29,120 --> 01:05:32,480
Speaker 10: but first I here, here are some products and services

1191
01:05:32,480 --> 01:05:36,360
Speaker 10: that are I don't know, probably also be taxed. But

1192
01:05:48,800 --> 01:05:52,320
Speaker 10: all right, and we are back. Yeah, So okay, I

1193
01:05:52,680 --> 01:05:55,440
Speaker 10: think I think people should should have like a decent

1194
01:05:55,520 --> 01:05:59,760
Speaker 10: understanding of the fact that these taxes are these are

1195
01:05:59,800 --> 01:06:02,520
Speaker 10: tax to some basic commodities that people need. And that's

1196
01:06:02,880 --> 01:06:06,680
Speaker 10: one of the easiest ways to start a protest movement

1197
01:06:06,720 --> 01:06:09,280
Speaker 10: is to suddenly make it too expensive to live. So

1198
01:06:09,720 --> 01:06:13,480
Speaker 10: let's talk about who. Yeah, how these protests sort of

1199
01:06:13,680 --> 01:06:15,840
Speaker 10: started and how they've been being organized.

1200
01:06:16,640 --> 01:06:19,680
Speaker 11: My issues that we can't really say how the protests started,

1201
01:06:20,040 --> 01:06:22,880
Speaker 11: but there was a lot of anger by Kenyons online

1202
01:06:22,880 --> 01:06:26,600
Speaker 11: because Kenyons are chronically online, like especially the younger generation,

1203
01:06:27,080 --> 01:06:29,240
Speaker 11: a lot of people have cell phones, a lot of

1204
01:06:29,240 --> 01:06:32,000
Speaker 11: people are not tuned into the news really, but the

1205
01:06:32,080 --> 01:06:35,520
Speaker 11: information sharing happens whell Like when a clip from the

1206
01:06:35,560 --> 01:06:38,880
Speaker 11: news is cut put on tiptop, people see it, this

1207
01:06:39,040 --> 01:06:41,840
Speaker 11: is happening, so it will get angry and then they shared.

1208
01:06:42,520 --> 01:06:46,000
Speaker 11: So what happened with the the Finance book. People would

1209
01:06:46,000 --> 01:06:50,200
Speaker 11: cut very little clips from the news and then someone

1210
01:06:50,240 --> 01:06:52,200
Speaker 11: would help put it in context. So that's where my

1211
01:06:52,320 --> 01:06:56,280
Speaker 11: channel comes in, where I'm not just using the news clips.

1212
01:06:56,400 --> 01:06:59,480
Speaker 11: I provide evidence like I've got through the Finance built,

1213
01:06:59,640 --> 01:07:03,760
Speaker 11: and then even consults with people who are in like

1214
01:07:04,000 --> 01:07:07,360
Speaker 11: ask lawyers on Twitter, like people who have resources and

1215
01:07:07,480 --> 01:07:09,680
Speaker 11: understand the law, or like what that would mean for

1216
01:07:09,720 --> 01:07:12,760
Speaker 11: everyday cannons. I would literally reach out and it got

1217
01:07:12,800 --> 01:07:15,680
Speaker 11: to a point where I am now in communication with

1218
01:07:15,800 --> 01:07:19,560
Speaker 11: the right channels, like you can directly ask how this

1219
01:07:19,640 --> 01:07:22,680
Speaker 11: would impact people, like if they tax bread more or

1220
01:07:22,760 --> 01:07:26,800
Speaker 11: like refuse to make it easier for suppliers to get

1221
01:07:27,240 --> 01:07:30,560
Speaker 11: items for the supply chain, how does this affect everyday people?

1222
01:07:30,920 --> 01:07:34,560
Speaker 11: So that helps bridge the graph of information and now

1223
01:07:34,720 --> 01:07:37,760
Speaker 11: with more people critically not just looking at their news

1224
01:07:37,760 --> 01:07:40,880
Speaker 11: but finding the evidence for themselves. Really have helped us

1225
01:07:40,920 --> 01:07:44,160
Speaker 11: get to a point where when you share, we are

1226
01:07:44,200 --> 01:07:47,360
Speaker 11: protesting about this issue. This is where we're going, this

1227
01:07:47,440 --> 01:07:50,280
Speaker 11: is what's happening. This this will happen in a certain town.

1228
01:07:50,600 --> 01:07:56,160
Speaker 11: So like Nairobi had its own occupy parliament reject the

1229
01:07:56,200 --> 01:08:01,480
Speaker 11: financial demonstration, it happened in Mombasa, to it happened in

1230
01:08:01,680 --> 01:08:05,080
Speaker 11: neary Elderate, all these smaller towns where people will live,

1231
01:08:05,160 --> 01:08:07,880
Speaker 11: but they're people from rural areas. They won't really care.

1232
01:08:08,040 --> 01:08:13,320
Speaker 11: And I'm like, you don't know that. Yeah. And also

1233
01:08:13,440 --> 01:08:16,840
Speaker 11: something that's really magical that's happened. A lot of Kenyons

1234
01:08:16,920 --> 01:08:19,080
Speaker 11: were like, Okay, maybe there there are a lot of

1235
01:08:19,120 --> 01:08:22,479
Speaker 11: Kenyons who live in rural areas who don't have media

1236
01:08:22,640 --> 01:08:26,559
Speaker 11: that doesn't cater to traditional listeners, like people who only

1237
01:08:26,560 --> 01:08:31,719
Speaker 11: speak certain languages so vernacular stations. So people started using

1238
01:08:31,760 --> 01:08:36,760
Speaker 11: TikTok to do direct translation. It's like this is the script, yes,

1239
01:08:36,800 --> 01:08:39,519
Speaker 11: this is the script for the the financial buildings. Are

1240
01:08:39,520 --> 01:08:41,439
Speaker 11: the taxes being added. This is the tax on bread,

1241
01:08:41,600 --> 01:08:43,680
Speaker 11: This is the tax on your on your vehicle. This

1242
01:08:43,760 --> 01:08:46,960
Speaker 11: is the tax that will happen on like period and

1243
01:08:47,000 --> 01:08:49,760
Speaker 11: sanitary paths and diapers and everything. So someone does the

1244
01:08:49,840 --> 01:08:52,400
Speaker 11: whole break down in their vernacular language and they share

1245
01:08:52,400 --> 01:08:55,439
Speaker 11: it on their family Whatspp groups called penans love whatksapp.

1246
01:08:56,040 --> 01:08:59,000
Speaker 11: That's why if you're if you want to do anything

1247
01:08:59,040 --> 01:09:03,520
Speaker 11: proper gandalate, you can easily bot onwards app before messages

1248
01:09:03,560 --> 01:09:07,759
Speaker 11: are crazy. So because like WhatsApp is mostly co opted

1249
01:09:07,800 --> 01:09:12,439
Speaker 11: by antis and moms and people who love to share.

1250
01:09:12,520 --> 01:09:15,080
Speaker 11: Please go to chat share share this to seven friends.

1251
01:09:15,280 --> 01:09:17,240
Speaker 11: People took that mandy to where they send it to

1252
01:09:17,280 --> 01:09:19,519
Speaker 11: their moms and then have it shared like seven of

1253
01:09:19,560 --> 01:09:22,679
Speaker 11: their friends who don't understand me do what the finance

1254
01:09:22,760 --> 01:09:25,559
Speaker 11: bill entails. And that is really changing the landscape of

1255
01:09:25,640 --> 01:09:27,760
Speaker 11: like who gets to interpret the bills, who gets to

1256
01:09:27,880 --> 01:09:32,080
Speaker 11: understand how it influences them. And it's been very very effective,

1257
01:09:32,479 --> 01:09:35,960
Speaker 11: So people who are passive are more and more understanding

1258
01:09:36,000 --> 01:09:37,960
Speaker 11: of like why everyone is on the streets.

1259
01:09:38,160 --> 01:09:42,320
Speaker 10: Yeah, yeah, it seems like it almost seems like there's

1260
01:09:42,320 --> 01:09:45,120
Speaker 10: isn't there's kind of a I don't know, it's like

1261
01:09:45,160 --> 01:09:47,600
Speaker 10: a TikTok think tank that's been sort of doing this

1262
01:09:47,680 --> 01:09:50,240
Speaker 10: valuation that has been spread through That's that's really cool.

1263
01:09:52,040 --> 01:09:54,760
Speaker 11: I'm just saying it's absolutely lovely to see because like

1264
01:09:54,840 --> 01:09:59,320
Speaker 11: tribalism has been a tool that's been wielded, especially during elections,

1265
01:09:59,360 --> 01:10:01,840
Speaker 11: to make onions look like they don't care about each

1266
01:10:01,840 --> 01:10:05,439
Speaker 11: other and they can't go beyond their differences. And this

1267
01:10:05,680 --> 01:10:08,640
Speaker 11: time it's like, yeah, we do have language barriers, but

1268
01:10:08,680 --> 01:10:11,800
Speaker 11: we're not going to let that affect us negatively. We're

1269
01:10:11,800 --> 01:10:14,839
Speaker 11: going to figure out a way through the noise before

1270
01:10:15,120 --> 01:10:18,880
Speaker 11: they start co opting those spaces and start saying, oh,

1271
01:10:19,120 --> 01:10:22,120
Speaker 11: gen z, kids are lying or millennials are just started

1272
01:10:22,120 --> 01:10:24,680
Speaker 11: getting money, so why would they care about taxes? And

1273
01:10:25,200 --> 01:10:29,000
Speaker 11: so everyone is making sure that those spaces are not corrupted. Yeah.

1274
01:10:29,800 --> 01:10:32,360
Speaker 10: Yeah, it seems like a really sort of incredible popular

1275
01:10:32,439 --> 01:10:37,599
Speaker 10: education thing that's been empowering this. Yeah, so I want to,

1276
01:10:37,920 --> 01:10:40,479
Speaker 10: I guess talk about I mean, one of the things

1277
01:10:40,479 --> 01:10:46,320
Speaker 10: that I think maybe kind of breached the I don't know,

1278
01:10:46,400 --> 01:10:49,000
Speaker 10: calling it like the Great Firewall is exactly right, but

1279
01:10:49,040 --> 01:10:50,479
Speaker 10: it's like, I think one of I think one of

1280
01:10:50,520 --> 01:10:53,120
Speaker 10: the parts of this that has gotten a little bit

1281
01:10:53,160 --> 01:10:56,000
Speaker 10: of play in the sort of beautia over here has

1282
01:10:56,040 --> 01:11:00,360
Speaker 10: been the police response, which has been terrible. Yeah, about

1283
01:11:00,680 --> 01:11:01,719
Speaker 10: what the cops have been.

1284
01:11:01,560 --> 01:11:10,479
Speaker 11: Doing, Okay, in Kenya protests Historically, protests have always been

1285
01:11:10,720 --> 01:11:15,439
Speaker 11: extremely violent, Like during the Moi era, people used to

1286
01:11:15,439 --> 01:11:19,640
Speaker 11: get beaten unlocked. MOI was al second president. He was

1287
01:11:19,800 --> 01:11:23,160
Speaker 11: in office for twenty four years, so he was a

1288
01:11:23,160 --> 01:11:26,920
Speaker 11: power holder a least those words, there's a power holder.

1289
01:11:27,040 --> 01:11:30,479
Speaker 11: He didn't want to go anywhere. He wanted to stay

1290
01:11:30,560 --> 01:11:34,200
Speaker 11: in power as long as he could and to counter

1291
01:11:34,280 --> 01:11:37,960
Speaker 11: anyone who would go against him. People were tortured, people

1292
01:11:38,160 --> 01:11:42,880
Speaker 11: were disappeared, people were children like dropped in forest. Many

1293
01:11:42,880 --> 01:11:45,519
Speaker 11: families couldn't find their members, especially if they went out

1294
01:11:45,560 --> 01:11:49,759
Speaker 11: of protest or do anything. That's why Wankarematas story, who's

1295
01:11:49,840 --> 01:11:54,439
Speaker 11: like one of the biggest environment total champions the world

1296
01:11:54,479 --> 01:11:57,760
Speaker 11: has ever seen. Her story was so unique because in

1297
01:11:57,840 --> 01:12:00,680
Speaker 11: the face of the most brutal dictators and every thing,

1298
01:12:00,760 --> 01:12:05,120
Speaker 11: she showed up and like she didn't just disagree, but

1299
01:12:05,360 --> 01:12:08,040
Speaker 11: she brought back and she did she use the same

1300
01:12:08,120 --> 01:12:10,840
Speaker 11: tactics that people are using now. She informed the very

1301
01:12:11,400 --> 01:12:15,240
Speaker 11: ignored part of the population to get the information across

1302
01:12:15,240 --> 01:12:19,519
Speaker 11: that if they start taking away your land and putting

1303
01:12:19,600 --> 01:12:22,200
Speaker 11: down your tree and you won't be able to pumb,

1304
01:12:22,439 --> 01:12:24,479
Speaker 11: you won't have anything. This is this whole place is

1305
01:12:24,479 --> 01:12:26,320
Speaker 11: going to be at their set in a couple of years.

1306
01:12:26,560 --> 01:12:28,920
Speaker 11: So everyone was funnying because like land is a very

1307
01:12:28,960 --> 01:12:32,479
Speaker 11: sensitive issue yea, And that's why the movement worked so

1308
01:12:32,560 --> 01:12:35,439
Speaker 11: well because she was not speaking, she was not just

1309
01:12:35,520 --> 01:12:39,240
Speaker 11: peaking against authoritude that she was going to like the

1310
01:12:39,360 --> 01:12:43,040
Speaker 11: people who who were going to be affected the most.

1311
01:12:43,120 --> 01:12:46,320
Speaker 11: And during those protests she was beaten up. Her hair

1312
01:12:46,560 --> 01:12:49,599
Speaker 11: was like young top her hair. It was very Yeah,

1313
01:12:49,640 --> 01:12:52,280
Speaker 11: it was very graphic and very painful. Like you watch

1314
01:12:52,320 --> 01:12:54,519
Speaker 11: these videos and they're like, who does something like this?

1315
01:12:55,080 --> 01:12:59,799
Speaker 11: And now it's very replicated. Sorry, it was replicated again

1316
01:13:01,479 --> 01:13:06,040
Speaker 11: like throughout his presidency, but throughout the years, a lot

1317
01:13:06,080 --> 01:13:10,680
Speaker 11: of civil rights movements and all the community based organizations

1318
01:13:10,720 --> 01:13:13,200
Speaker 11: like came together and they will still protest about staff,

1319
01:13:13,439 --> 01:13:16,040
Speaker 11: but the issue it had moved on from like large

1320
01:13:16,080 --> 01:13:19,800
Speaker 11: protests to even smaller protests, being like they would send

1321
01:13:19,880 --> 01:13:24,759
Speaker 11: the police to bitter people who are speaking up about

1322
01:13:24,800 --> 01:13:30,080
Speaker 11: any issue. And usually because like you're in smaller communities,

1323
01:13:30,080 --> 01:13:33,519
Speaker 11: there's no way to track. So if someone lies in

1324
01:13:33,600 --> 01:13:37,600
Speaker 11: Quibera and it's a slam area and it's mostly disenfranchised,

1325
01:13:38,160 --> 01:13:41,160
Speaker 11: the community organizations there, no they turn and find justice

1326
01:13:41,160 --> 01:13:44,840
Speaker 11: for the family. But because our police are mostly helped,

1327
01:13:46,280 --> 01:13:47,960
Speaker 11: you can't hold them to account because they work for

1328
01:13:47,960 --> 01:13:50,759
Speaker 11: the state, it's very hard to get any form of justice.

1329
01:13:51,120 --> 01:13:56,960
Speaker 11: But this time was it last year when people are

1330
01:13:57,000 --> 01:14:00,479
Speaker 11: protesting about the cost of living. I think it was

1331
01:14:00,640 --> 01:14:04,360
Speaker 11: just shortly before the finance built twenty twenty three past

1332
01:14:05,000 --> 01:14:07,840
Speaker 11: people were protesting. People were out and they were angry

1333
01:14:07,960 --> 01:14:12,800
Speaker 11: about everything, and people were beaten up. Someone lost their

1334
01:14:12,880 --> 01:14:16,200
Speaker 11: two year old child because the child was beaten by

1335
01:14:16,200 --> 01:14:22,479
Speaker 11: the police. Yeah. Yeah, Like there's a woman who lost

1336
01:14:22,680 --> 01:14:27,040
Speaker 11: her son. Because usually when you're at protests, sometimes the

1337
01:14:27,080 --> 01:14:30,200
Speaker 11: people who are passing by, but because you're there and

1338
01:14:30,240 --> 01:14:32,439
Speaker 11: the police are there, they end up eating. Even if

1339
01:14:32,479 --> 01:14:34,639
Speaker 11: you're not past year, you're not back to the process.

1340
01:14:34,640 --> 01:14:36,920
Speaker 11: So that there's a woman who ended up losing her

1341
01:14:37,000 --> 01:14:41,120
Speaker 11: son last year to the protest, and her adopted son too.

1342
01:14:41,520 --> 01:14:45,000
Speaker 11: And then this this year, like a couple of weeks ago,

1343
01:14:45,080 --> 01:14:49,000
Speaker 11: she died in a flood in my daddy, So and

1344
01:14:49,120 --> 01:14:52,559
Speaker 11: then yess are like seeing their terrible nature of like

1345
01:14:52,840 --> 01:14:56,280
Speaker 11: how state violence kIPS continuing. So this time when the

1346
01:14:56,360 --> 01:14:58,720
Speaker 11: protests are being organized, everyone who is like make sure

1347
01:14:58,760 --> 01:15:03,000
Speaker 11: you're peaceful, don't carry in stones because like throws stones

1348
01:15:06,040 --> 01:15:08,600
Speaker 11: like Perry stones. You couldn't even pick up teas and

1349
01:15:08,640 --> 01:15:11,519
Speaker 11: like throw it back and everything, and this time everyone

1350
01:15:11,640 --> 01:15:13,960
Speaker 11: is like, just make sure you're very peaceful, only use

1351
01:15:14,000 --> 01:15:17,519
Speaker 11: your voice, protect each other. Like a lot of the

1352
01:15:17,600 --> 01:15:20,640
Speaker 11: announcements around the protests like make sure it's paceful so

1353
01:15:20,640 --> 01:15:22,439
Speaker 11: that they don't have an excuse to say that you

1354
01:15:22,479 --> 01:15:25,439
Speaker 11: are out on the streets doing something illegal. You don't

1355
01:15:25,520 --> 01:15:29,400
Speaker 11: attack shops, you don't try and force yourself into anyone's premises.

1356
01:15:29,960 --> 01:15:32,760
Speaker 11: And what happened that was very beautiful this year is

1357
01:15:32,800 --> 01:15:35,120
Speaker 11: like the establishments, like the one I'm in right now

1358
01:15:35,720 --> 01:15:40,639
Speaker 11: was helped protect citizens who were protesting, so kids would

1359
01:15:40,640 --> 01:15:42,519
Speaker 11: be out of this then start getting teaters and like

1360
01:15:42,560 --> 01:15:44,640
Speaker 11: they would open the door, people would come in and

1361
01:15:44,680 --> 01:15:48,479
Speaker 11: they would close the door until the away. Yeah, so

1362
01:15:48,560 --> 01:15:53,040
Speaker 11: you find establishments are working to not just protect people,

1363
01:15:53,120 --> 01:15:55,360
Speaker 11: but also to be to be part of showing like

1364
01:15:55,439 --> 01:15:58,880
Speaker 11: this is our premises. It's not being looted, it's not

1365
01:15:59,080 --> 01:16:03,400
Speaker 11: being destroyed, because destruction of property apparently is a bigger

1366
01:16:03,600 --> 01:16:08,759
Speaker 11: problem than you losing your life. So most people felt

1367
01:16:09,360 --> 01:16:11,360
Speaker 11: they were safe at the protest, and they also felt

1368
01:16:11,400 --> 01:16:15,920
Speaker 11: like they were seen by other protesters. So it was

1369
01:16:16,000 --> 01:16:21,760
Speaker 11: largely peaceful, very well coordinated. There's information on how to

1370
01:16:21,800 --> 01:16:26,040
Speaker 11: get medical help or in case we're arrested, how to

1371
01:16:26,160 --> 01:16:30,760
Speaker 11: get as bigal assistance. So every single element was like

1372
01:16:31,120 --> 01:16:33,439
Speaker 11: we're not just going to ban out of like going

1373
01:16:33,479 --> 01:16:36,719
Speaker 11: into the streets, but making sure everyone returns home safely.

1374
01:16:37,479 --> 01:16:41,720
Speaker 11: A lot of the protests in the past war they

1375
01:16:41,760 --> 01:16:44,560
Speaker 11: got a little violent because maybe some of the protesters

1376
01:16:44,600 --> 01:16:48,400
Speaker 11: went road and obviously their politicians love to use bad

1377
01:16:48,520 --> 01:16:51,559
Speaker 11: actors where they implant a bunch of people who go

1378
01:16:51,680 --> 01:16:54,479
Speaker 11: and destroy business premises, and then it looks like the

1379
01:16:54,520 --> 01:16:57,479
Speaker 11: protesters didn't come there to actually protest, they were there

1380
01:16:57,479 --> 01:17:02,000
Speaker 11: for their own selfish reasons. So this time what happened

1381
01:17:02,040 --> 01:17:04,800
Speaker 11: is like a lot of the protesters were given the

1382
01:17:04,880 --> 01:17:08,360
Speaker 11: right information on how to stay peaceful. It's like these

1383
01:17:08,360 --> 01:17:10,599
Speaker 11: are the streets to use, these are the meeting points,

1384
01:17:10,600 --> 01:17:14,040
Speaker 11: These are the contract people for in case you get injured,

1385
01:17:14,320 --> 01:17:17,640
Speaker 11: is this medic in case you get arrested, these are

1386
01:17:17,680 --> 01:17:21,280
Speaker 11: the lawyers in case your friend disappears. Make sure they

1387
01:17:21,320 --> 01:17:23,439
Speaker 11: have a live location on so we can track them

1388
01:17:23,479 --> 01:17:28,920
Speaker 11: and everything. So it was widely successful because that kind

1389
01:17:28,960 --> 01:17:36,880
Speaker 11: of peaceful and well coordinated navigated towards spaces that were

1390
01:17:36,960 --> 01:17:39,439
Speaker 11: if not before, like the safety of everyone was a

1391
01:17:39,520 --> 01:17:44,759
Speaker 11: priority and because our leaders can't really find who started

1392
01:17:44,800 --> 01:17:47,719
Speaker 11: the protests because it's mostly like a group who led

1393
01:17:47,760 --> 01:17:52,040
Speaker 11: the movement, they've started abducting who they feel like our

1394
01:17:52,080 --> 01:17:53,080
Speaker 11: community leaders.

1395
01:17:53,200 --> 01:17:55,840
Speaker 10: Yeah, yeah, so I guess that that's something I wanted

1396
01:17:55,840 --> 01:17:58,839
Speaker 10: to ask about, was like, has the police response actually

1397
01:17:58,880 --> 01:18:01,519
Speaker 10: been any less bad this time that has been with

1398
01:18:01,600 --> 01:18:02,880
Speaker 10: other So.

1399
01:18:03,120 --> 01:18:08,840
Speaker 11: This time on Thursday, they shot, Yeah, they shot into

1400
01:18:08,880 --> 01:18:14,479
Speaker 11: a crowd and one of them ended up shooting at

1401
01:18:14,479 --> 01:18:19,000
Speaker 11: twenty four year old and he bled out he died.

1402
01:18:19,840 --> 01:18:22,559
Speaker 11: His name is Rex Marsill. And then another kid was

1403
01:18:22,600 --> 01:18:26,759
Speaker 11: also shot. His name is Evans Kiragu was also shot,

1404
01:18:26,800 --> 01:18:29,240
Speaker 11: and I think they were trying to get him help

1405
01:18:29,240 --> 01:18:34,519
Speaker 11: and everything, but he died yesterday, I believe. And there's

1406
01:18:34,600 --> 01:18:38,840
Speaker 11: still other rochesters who are yet to be found. And

1407
01:18:38,880 --> 01:18:43,960
Speaker 11: then yesterday morning there's a very popular Twitter personality who

1408
01:18:44,320 --> 01:18:48,840
Speaker 11: was disappeared, like they kind of appracted him. Yeah yeah,

1409
01:18:48,880 --> 01:18:52,479
Speaker 11: But then Kenyon's held a space online for over six

1410
01:18:52,520 --> 01:18:57,040
Speaker 11: hours and they're like they were dragging government officials and

1411
01:18:57,200 --> 01:18:59,920
Speaker 11: like if you people don't return this particular person, we will,

1412
01:19:00,120 --> 01:19:08,639
Speaker 11: And it was very particularly funny because Kenyon's, you would

1413
01:19:08,680 --> 01:19:12,519
Speaker 11: think this younger generation people don't have concentration issues. No

1414
01:19:12,520 --> 01:19:16,040
Speaker 11: one is going to listen to us. But like everyone

1415
01:19:16,160 --> 01:19:18,000
Speaker 11: was like online and they were paying attention to like

1416
01:19:18,040 --> 01:19:20,360
Speaker 11: every single speaker just to keep the space longer, holding

1417
01:19:20,360 --> 01:19:23,760
Speaker 11: space for the person who had been taken. And he

1418
01:19:24,000 --> 01:19:28,280
Speaker 11: was found his lawyers, the lawyer, sorry, the lawyers in

1419
01:19:28,320 --> 01:19:30,840
Speaker 11: church found him and they went and like they went

1420
01:19:30,880 --> 01:19:34,200
Speaker 11: and got him and he went back safe, but obviously

1421
01:19:34,200 --> 01:19:37,240
Speaker 11: you could see he was visibly shaken. His creaturent name

1422
01:19:37,320 --> 01:19:42,360
Speaker 11: is crazy and aerobian. Yeah, and then now today they

1423
01:19:42,400 --> 01:19:46,040
Speaker 11: took one of the doctors was organizing for a blad

1424
01:19:46,160 --> 01:19:51,800
Speaker 11: drive in like in a certain up market area. They

1425
01:19:51,880 --> 01:19:55,160
Speaker 11: just picked him out, and like, no one has been

1426
01:19:55,200 --> 01:19:57,920
Speaker 11: able to find him until now. So people are still

1427
01:19:57,960 --> 01:20:02,639
Speaker 11: advocating to like getting back and a lot of big

1428
01:20:03,040 --> 01:20:06,160
Speaker 11: personalities are making phone calls. Lawyers are showing up that

1429
01:20:06,320 --> 01:20:09,120
Speaker 11: like if you see this particular car, if you if

1430
01:20:09,160 --> 01:20:12,200
Speaker 11: you sit in your location, timely informants share the information.

1431
01:20:12,320 --> 01:20:14,479
Speaker 11: So everyone who's online is trying to get the right

1432
01:20:14,479 --> 01:20:17,960
Speaker 11: information to make sure that that doctor is brought back.

1433
01:20:18,479 --> 01:20:26,320
Speaker 11: And yeah, ironically that doctor is actually unemployed because the

1434
01:20:26,320 --> 01:20:30,599
Speaker 11: the government is refusing to hire new medical personnel because

1435
01:20:30,680 --> 01:20:35,160
Speaker 11: like it's too expensive when we see them, like driving

1436
01:20:35,160 --> 01:20:41,120
Speaker 11: around in new cars has like very expensive shoes, and

1437
01:20:41,320 --> 01:20:43,559
Speaker 11: everyone is like, your shoes could literally pay like three

1438
01:20:43,600 --> 01:20:49,400
Speaker 11: doctors high high the right thing. Yeah, but I can

1439
01:20:49,560 --> 01:20:51,880
Speaker 11: ends up pushing to make sure everyone is safe and

1440
01:20:51,920 --> 01:20:57,040
Speaker 11: everyone who's lost, especially big Twitter influencers and big media

1441
01:20:57,120 --> 01:21:00,920
Speaker 11: personalities and influencers are coming together to me, they use

1442
01:21:00,960 --> 01:21:04,280
Speaker 11: their platforms to help find anyone who's not who's been

1443
01:21:04,400 --> 01:21:11,880
Speaker 11: disappeared or been abducted. Yeah, h.

1444
01:21:17,760 --> 01:21:20,719
Speaker 10: Where do you think the difference of going from here?

1445
01:21:20,800 --> 01:21:23,639
Speaker 10: I know, actually, well, actually I think I think I've

1446
01:21:23,680 --> 01:21:27,080
Speaker 10: lost track of what reading of the bill they're at

1447
01:21:27,160 --> 01:21:27,640
Speaker 10: right now was.

1448
01:21:27,680 --> 01:21:30,600
Speaker 11: I thought it was the third reading or it's a

1449
01:21:30,800 --> 01:21:35,360
Speaker 11: it's at the committee stage. So at the committee stage

1450
01:21:35,400 --> 01:21:39,320
Speaker 11: they go through the every single close and they try

1451
01:21:39,360 --> 01:21:42,120
Speaker 11: to justify why they should keep it or whether they're

1452
01:21:42,120 --> 01:21:44,880
Speaker 11: going to disband it. But everyone is just like, we

1453
01:21:44,960 --> 01:21:47,799
Speaker 11: don't want any of this because some of the bills,

1454
01:21:48,439 --> 01:21:49,880
Speaker 11: there's a there's a part of the bill that I

1455
01:21:49,920 --> 01:21:53,120
Speaker 11: didn't mention where the Kenya Revenue Authority is supposed to

1456
01:21:53,360 --> 01:21:58,240
Speaker 11: go through Kenyon's personal data to see you're dodging taxes

1457
01:21:59,080 --> 01:22:01,559
Speaker 11: and I'm like that, it's ridiculous because a lot of

1458
01:22:01,640 --> 01:22:05,479
Speaker 11: people in kinda are supported by a family member. So

1459
01:22:05,520 --> 01:22:08,040
Speaker 11: you find, you find if I have money, I'll send

1460
01:22:08,080 --> 01:22:11,200
Speaker 11: it to my kids, and then my kids made my

1461
01:22:11,400 --> 01:22:14,160
Speaker 11: body to their friends who's probably in trouble. So if

1462
01:22:14,200 --> 01:22:16,799
Speaker 11: it looks like I have money coming in, it's probably

1463
01:22:16,960 --> 01:22:20,320
Speaker 11: maybe because of like a family contribution, a personal contribution.

1464
01:22:20,760 --> 01:22:22,680
Speaker 11: So they want to charge more taxis on that, and

1465
01:22:22,760 --> 01:22:26,400
Speaker 11: it actually makes no sense. So it looks like they're

1466
01:22:26,479 --> 01:22:29,880
Speaker 11: chasm how much money you look like you have. Yeah, yeah,

1467
01:22:29,920 --> 01:22:31,720
Speaker 11: it looks like they're checking how much money look like

1468
01:22:31,760 --> 01:22:33,680
Speaker 11: you have, and then they want to taxing on that

1469
01:22:33,840 --> 01:22:36,920
Speaker 11: or like say you're evading taxes, And it's scaring a

1470
01:22:36,920 --> 01:22:40,439
Speaker 11: lot of people because once that happens, it feels like

1471
01:22:40,479 --> 01:22:42,640
Speaker 11: there's no safety in anything you have.

1472
01:22:43,479 --> 01:22:46,720
Speaker 10: So I guess so from from there, So is the

1473
01:22:46,760 --> 01:22:50,439
Speaker 10: strategy right now based around sort of trying to get

1474
01:22:50,479 --> 01:22:52,760
Speaker 10: these trying to get the committees to just like to

1475
01:22:52,760 --> 01:22:54,759
Speaker 10: have this bill sort of die there or.

1476
01:22:57,200 --> 01:23:00,559
Speaker 11: A lot of us are trying to make sure the

1477
01:23:00,600 --> 01:23:03,439
Speaker 11: bill doesn't go any further than it is, and everyone

1478
01:23:03,520 --> 01:23:06,439
Speaker 11: is tracking their empasse. So what happened even before the

1479
01:23:06,520 --> 01:23:12,400
Speaker 11: protest people started sharing their MPs numbers. Every single person

1480
01:23:12,439 --> 01:23:14,680
Speaker 11: would find like a member of Parliament's numbers, and we're like,

1481
01:23:14,760 --> 01:23:17,160
Speaker 11: if you if this is your relative, please give it

1482
01:23:17,200 --> 01:23:21,439
Speaker 11: to us. If it is your side, cheek or whatever

1483
01:23:22,320 --> 01:23:26,519
Speaker 11: whatever where you relate to this person. Because it's government officials,

1484
01:23:26,520 --> 01:23:29,120
Speaker 11: their numbers should be public anyway, citizens should be able

1485
01:23:29,160 --> 01:23:34,599
Speaker 11: to reach them. And because they wanted to hide behind

1486
01:23:34,760 --> 01:23:38,760
Speaker 11: their big, big cause and big houses, we were like, okay,

1487
01:23:38,760 --> 01:23:40,599
Speaker 11: we're going to find you where you're asked, and we're

1488
01:23:40,600 --> 01:23:43,360
Speaker 11: going to text you and we're going to tell you

1489
01:23:43,400 --> 01:23:46,560
Speaker 11: to vote no. And most of the impulse were very dismissing.

1490
01:23:47,040 --> 01:23:51,759
Speaker 11: They were like, uh, the party that i'm that's backing

1491
01:23:51,880 --> 01:23:54,519
Speaker 11: me is the one that got me into office. It's like, no,

1492
01:23:54,640 --> 01:23:58,120
Speaker 11: people voted for you, you should represent their views. So

1493
01:23:58,760 --> 01:24:00,760
Speaker 11: a lot of canyons held their lives where's like, I

1494
01:24:00,840 --> 01:24:04,200
Speaker 11: don't care what your boss is telling you or what

1495
01:24:04,400 --> 01:24:07,120
Speaker 11: party this is, you have to vote with us. So

1496
01:24:07,360 --> 01:24:10,160
Speaker 11: a lot of MPs who are shamed online some of

1497
01:24:10,200 --> 01:24:20,840
Speaker 11: them had to but like they changed their votes. Incredible, Yes, yeah,

1498
01:24:20,840 --> 01:24:23,880
Speaker 11: I dontieve we should do this more often. So that's

1499
01:24:23,920 --> 01:24:27,360
Speaker 11: really that really gave hope to a lot of canons

1500
01:24:27,400 --> 01:24:30,519
Speaker 11: who are feeling like maybe their work isn't amounting too much.

1501
01:24:30,840 --> 01:24:34,080
Speaker 11: But we lost. We lost that one battle. A lot

1502
01:24:34,080 --> 01:24:36,160
Speaker 11: of us ended up using the battle to the second

1503
01:24:36,200 --> 01:24:40,920
Speaker 11: reading because many of the MP's were So there's this

1504
01:24:41,120 --> 01:24:44,280
Speaker 11: fund called the CDF IDIF fund. It's the constituency the

1505
01:24:44,479 --> 01:24:49,160
Speaker 11: Constituency Development Fund that MPs kind of use it like

1506
01:24:49,200 --> 01:24:53,639
Speaker 11: their personal bank account. So members of Parliament, Yeah, members

1507
01:24:53,680 --> 01:24:56,559
Speaker 11: of PARLIAMENTI get the CDIF fund and then they'll use

1508
01:24:56,600 --> 01:25:00,240
Speaker 11: it to go and like so it's supposed to sally

1509
01:25:00,280 --> 01:25:03,479
Speaker 11: take care of like bursaries or any county emergencies directly

1510
01:25:03,520 --> 01:25:06,760
Speaker 11: affecting constituts. But what IMPY is doing is that like

1511
01:25:06,800 --> 01:25:11,080
Speaker 11: they wild it as a parsenal bank account. So it's

1512
01:25:11,120 --> 01:25:13,280
Speaker 11: like you have to like do a lot of us

1513
01:25:13,439 --> 01:25:17,280
Speaker 11: kissing and a lot of performative nonsense for you to

1514
01:25:17,320 --> 01:25:20,920
Speaker 11: even get some of the money, and a lot of

1515
01:25:20,960 --> 01:25:24,200
Speaker 11: people don't actually end up getting the money. So what

1516
01:25:24,680 --> 01:25:30,760
Speaker 11: the budget makers did They decided to talk up the

1517
01:25:30,880 --> 01:25:34,280
Speaker 11: CDF fund so that more emplies have more money, and

1518
01:25:34,360 --> 01:25:36,759
Speaker 11: usually they just potet that money. So they're like, Okay,

1519
01:25:36,840 --> 01:25:40,519
Speaker 11: I feel like my budgeted corruption has hit the account,

1520
01:25:40,680 --> 01:25:42,760
Speaker 11: I don't need to do the right thing.

1521
01:25:43,479 --> 01:25:47,760
Speaker 10: Yeah, so that's just literally a bribe exactly.

1522
01:25:47,800 --> 01:25:51,120
Speaker 11: It's like the best way is like and they're like, no,

1523
01:25:51,240 --> 01:25:53,280
Speaker 11: I'll have more money to take care of the constituency.

1524
01:25:53,280 --> 01:25:56,479
Speaker 11: It's like, no, you steal this money anyway, you guys

1525
01:25:56,520 --> 01:25:59,120
Speaker 11: have any You're not going to do a conscience today

1526
01:25:59,280 --> 01:26:03,720
Speaker 11: just because money. So most of all are trying to

1527
01:26:03,760 --> 01:26:06,519
Speaker 11: get the parts of the budget we've seen there, then

1528
01:26:06,600 --> 01:26:10,200
Speaker 11: let's put into efforts that go there directly to education

1529
01:26:10,479 --> 01:26:13,080
Speaker 11: and healthcare, even if even if it's directly to the

1530
01:26:13,120 --> 01:26:17,080
Speaker 11: school instead of the individual. Yeah, so that that will

1531
01:26:17,120 --> 01:26:20,400
Speaker 11: help cut down on that kind of corruption that a

1532
01:26:20,439 --> 01:26:24,280
Speaker 11: lot of mpies run with. And I think that's scaring

1533
01:26:24,360 --> 01:26:28,639
Speaker 11: some of them. And we're hoping we're hoping to get

1534
01:26:28,640 --> 01:26:34,599
Speaker 11: more people to be to push their members of Parliament

1535
01:26:35,120 --> 01:26:41,440
Speaker 11: or any nominated representatives to recognize that all these items

1536
01:26:42,080 --> 01:26:45,320
Speaker 11: that they're voting for it's not just going to affect us,

1537
01:26:45,320 --> 01:26:48,360
Speaker 11: but will affect them and the money that they're hoping

1538
01:26:48,400 --> 01:26:51,920
Speaker 11: to steal. So if you're going to steal progress, we're

1539
01:26:51,960 --> 01:26:54,400
Speaker 11: going to don't get any of the money here.

1540
01:26:56,600 --> 01:27:00,639
Speaker 10: Incredible, Yeah, is there is there anything else you want

1541
01:27:00,640 --> 01:27:01,720
Speaker 10: to add before you wrap up.

1542
01:27:02,160 --> 01:27:06,920
Speaker 11: Yeah, I'll say usually when a lot of stories and

1543
01:27:07,080 --> 01:27:11,800
Speaker 11: like the African continent are covered, it's usually like Africans

1544
01:27:11,920 --> 01:27:16,519
Speaker 11: vote for bad leaders, and well that is true. Most

1545
01:27:16,560 --> 01:27:18,360
Speaker 11: of the times, people don't feel like they have an option.

1546
01:27:19,120 --> 01:27:22,840
Speaker 10: Yeah, and like you know, if you you listeners statistically

1547
01:27:22,880 --> 01:27:25,800
Speaker 10: are probably either an American or a brain, so like you.

1548
01:27:25,520 --> 01:27:28,200
Speaker 7: You you know exactly what that's like.

1549
01:27:30,640 --> 01:27:35,679
Speaker 9: You're like someone who just you have Trump and he's

1550
01:27:35,720 --> 01:27:39,800
Speaker 9: like a contra now right now. So yeah, because the

1551
01:27:39,920 --> 01:27:44,599
Speaker 9: little so TikTok, something happened I think yesterday or something

1552
01:27:45,000 --> 01:27:51,040
Speaker 9: where people were like, how dependans vote for this person?

1553
01:27:51,160 --> 01:27:54,280
Speaker 11: You are such a very dark criminal past, and and

1554
01:27:54,320 --> 01:27:58,120
Speaker 11: everyone was like, have you guys seen yourselves? You can

1555
01:27:58,960 --> 01:28:04,280
Speaker 11: there there are no highs. Everyone makes very foolish mistakes

1556
01:28:04,360 --> 01:28:06,519
Speaker 11: and all of us look like we don't know what

1557
01:28:06,640 --> 01:28:09,320
Speaker 11: to do to make sure people like that don't ascend

1558
01:28:09,320 --> 01:28:12,320
Speaker 11: into power, because like group things sometimes gets us to

1559
01:28:12,400 --> 01:28:15,800
Speaker 11: like very dangerous places. It happens everywhere. No one is

1560
01:28:15,880 --> 01:28:21,519
Speaker 11: any less affected if someone who you hope to lose

1561
01:28:22,280 --> 01:28:26,200
Speaker 11: games power, like you're all in deep trouble, Like no

1562
01:28:26,240 --> 01:28:29,320
Speaker 11: one is on a higher pedestal than the other all

1563
01:28:29,360 --> 01:28:31,880
Speaker 11: of you can actually lose a lot. And one of

1564
01:28:31,920 --> 01:28:34,639
Speaker 11: the things that we are trying to remind each other's

1565
01:28:34,680 --> 01:28:36,559
Speaker 11: we're trying not to get to this space. So what

1566
01:28:37,040 --> 01:28:41,240
Speaker 11: canons are trying to propose like a direct manifesto where

1567
01:28:41,280 --> 01:28:44,400
Speaker 11: any person who's running has to have like a close

1568
01:28:44,680 --> 01:28:47,800
Speaker 11: in their manifesto that is going to even be turned

1569
01:28:47,800 --> 01:28:50,599
Speaker 11: into like a policy and law where if you steal

1570
01:28:50,600 --> 01:28:54,240
Speaker 11: any money or we co found doing anything corrupt, you

1571
01:28:54,360 --> 01:28:57,599
Speaker 11: have to like remove yourself from office immediately, like there's

1572
01:28:57,640 --> 01:29:01,679
Speaker 11: no bargaining to do whatsoever, Like you have to live

1573
01:29:01,680 --> 01:29:04,040
Speaker 11: office immediately, and then we're going to seize all your

1574
01:29:04,040 --> 01:29:11,720
Speaker 11: property anything. Yeah, it's like if we're going to get

1575
01:29:11,720 --> 01:29:14,720
Speaker 11: into power, make sure the salary you're getting is then now,

1576
01:29:15,240 --> 01:29:18,439
Speaker 11: if you have any ambitions, let them die now, like

1577
01:29:18,680 --> 01:29:22,240
Speaker 11: do everything before you get into earth. And I think

1578
01:29:22,360 --> 01:29:25,439
Speaker 11: that's so encouraging to see because everyone is not just

1579
01:29:25,479 --> 01:29:28,719
Speaker 11: looking at them now and like all these bad taxes

1580
01:29:28,760 --> 01:29:31,799
Speaker 11: and the bad leadership that we have, but also looking

1581
01:29:32,479 --> 01:29:34,800
Speaker 11: to the future of like how do we make sure

1582
01:29:34,800 --> 01:29:38,160
Speaker 11: we don't get here again. So that's really encouraging to

1583
01:29:38,240 --> 01:29:42,640
Speaker 11: see everyone is making sure that they hold people to

1584
01:29:42,680 --> 01:29:46,200
Speaker 11: account across the board, like if your protesters, make sure

1585
01:29:46,200 --> 01:29:49,719
Speaker 11: you're safe, make sure you know this information. But also

1586
01:29:49,800 --> 01:29:52,040
Speaker 11: for the future, this is what we want. So it's

1587
01:29:52,080 --> 01:29:54,360
Speaker 11: not just like we're moving bad taxes, but if we're

1588
01:29:54,360 --> 01:29:56,479
Speaker 11: going to pay taxes, are they going to be used?

1589
01:29:56,720 --> 01:29:59,120
Speaker 11: And how how are we going to make sure that

1590
01:29:59,200 --> 01:30:03,720
Speaker 11: the future of the and cheap is being protected by

1591
01:30:04,000 --> 01:30:08,880
Speaker 11: collective interest and not just like individual worship, which has

1592
01:30:08,920 --> 01:30:12,880
Speaker 11: been a very very big problem in Kenyan culture because

1593
01:30:12,960 --> 01:30:17,560
Speaker 11: like over here musicians are barely celebrities, but a politician

1594
01:30:17,600 --> 01:30:20,960
Speaker 11: would work in here and like people would like lose

1595
01:30:21,040 --> 01:30:24,040
Speaker 11: arms and legs to just see hi. So we're trying

1596
01:30:24,160 --> 01:30:28,160
Speaker 11: to make sure we fix that too. Yeah.

1597
01:30:28,240 --> 01:30:30,559
Speaker 10: Yeah, So I guess the people listening to just want

1598
01:30:30,560 --> 01:30:33,080
Speaker 10: to try to help support the protests. Are there are

1599
01:30:33,080 --> 01:30:34,960
Speaker 10: there stuff that other things they can do in places

1600
01:30:35,000 --> 01:30:37,200
Speaker 10: they can go to find more information.

1601
01:30:37,080 --> 01:30:37,400
Speaker 8: And.

1602
01:30:39,320 --> 01:30:42,280
Speaker 11: Because a lot of it is group organized, I have

1603
01:30:42,360 --> 01:30:50,120
Speaker 11: to find the the information. I could send it to you. Yes,

1604
01:30:51,040 --> 01:30:52,639
Speaker 11: I don't know if from the top of my head,

1605
01:30:54,000 --> 01:30:57,640
Speaker 11: because I think and like most people would like do

1606
01:30:57,840 --> 01:31:02,559
Speaker 11: individual A lot of we have a lot of mobile

1607
01:31:02,640 --> 01:31:06,240
Speaker 11: money transferred, which are usually direct to the person so

1608
01:31:06,280 --> 01:31:08,719
Speaker 11: that it doesn't work with various channels and then people

1609
01:31:08,800 --> 01:31:13,200
Speaker 11: end up misappropriating or stealing. So if community lens, so

1610
01:31:13,240 --> 01:31:15,760
Speaker 11: I'll have to find the information and then sharing.

1611
01:31:16,240 --> 01:31:16,479
Speaker 4: Cool.

1612
01:31:16,920 --> 01:31:19,360
Speaker 10: Yeah, and okay, if if people want to find you

1613
01:31:19,400 --> 01:31:20,720
Speaker 10: on the internet, where can they do that?

1614
01:31:21,560 --> 01:31:26,680
Speaker 11: So on Instagram and TikTok, it's pay work. We just

1615
01:31:26,800 --> 01:31:29,840
Speaker 11: tin like at people with Justin, like the full handle

1616
01:31:30,560 --> 01:31:37,000
Speaker 11: on Twitter, it's at official f w w J. So

1617
01:31:37,040 --> 01:31:42,320
Speaker 11: it's official f w w J, which is just people

1618
01:31:42,360 --> 01:31:43,680
Speaker 11: with just In official people for.

1619
01:31:44,560 --> 01:31:47,800
Speaker 10: Yeah, we'll get we'll get that in the description too.

1620
01:31:47,960 --> 01:31:52,280
Speaker 11: Yeah. Yeah, I do have my personal account, but I

1621
01:31:52,280 --> 01:31:56,680
Speaker 11: don't know if I want to give that. Yeah, I

1622
01:31:56,800 --> 01:31:59,160
Speaker 11: just know I can still give it. It's at Justin

1623
01:31:59,280 --> 01:32:02,040
Speaker 11: wonder j U S D I n E W A

1624
01:32:02,200 --> 01:32:05,360
Speaker 11: n D Yeah cool.

1625
01:32:05,600 --> 01:32:07,599
Speaker 10: Yeah, Jessine, thank you so much. Thank you so much

1626
01:32:07,600 --> 01:32:09,679
Speaker 10: for coming on the show talking about this has been great.

1627
01:32:10,680 --> 01:32:12,760
Speaker 11: Thank you so much for having me in letting me

1628
01:32:12,840 --> 01:32:14,840
Speaker 11: like just run my mouth work up.

1629
01:32:16,040 --> 01:32:18,840
Speaker 10: Yeah, and good good, good luck to you all. Hope

1630
01:32:18,880 --> 01:32:21,559
Speaker 10: you fucking hope you stop them and bring them all down.

1631
01:32:22,120 --> 01:32:24,759
Speaker 11: I really hope we do. If we don't, it's gonna

1632
01:32:24,760 --> 01:32:29,920
Speaker 11: be so sad. Yeah, thank you so much.

1633
01:32:31,560 --> 01:32:34,040
Speaker 10: Yeah, of course, And yeah, let's spinak it off here

1634
01:32:34,200 --> 01:32:38,639
Speaker 10: and you too can go make your politicians lives miserable.

1635
01:32:53,160 --> 01:32:57,760
Speaker 2: Welcome back to it could happen here a podcast where

1636
01:32:57,880 --> 01:33:00,920
Speaker 2: Robert Evans is lying down on a cout because he

1637
01:33:01,400 --> 01:33:06,360
Speaker 2: just feels exhausted from sleeping a leftn full hours. Garrison,

1638
01:33:07,120 --> 01:33:11,040
Speaker 2: you were much younger than me, and don't seem to

1639
01:33:11,080 --> 01:33:14,840
Speaker 2: feel exhausted because you just woke up after staying up

1640
01:33:14,880 --> 01:33:15,840
Speaker 2: all night, did you?

1641
01:33:16,720 --> 01:33:16,960
Speaker 1: Yeah?

1642
01:33:17,080 --> 01:33:18,440
Speaker 7: No, not as exhausted.

1643
01:33:19,280 --> 01:33:20,640
Speaker 2: I hate you.

1644
01:33:21,040 --> 01:33:21,360
Speaker 13: Do you know?

1645
01:33:21,520 --> 01:33:23,000
Speaker 7: Do you know what is exhausting Robert?

1646
01:33:23,560 --> 01:33:24,160
Speaker 2: Elections?

1647
01:33:24,640 --> 01:33:27,120
Speaker 7: The twenty twenty four presidential election.

1648
01:33:26,960 --> 01:33:29,280
Speaker 2: The twenty twenty four presidential election. Yeah, I hate it.

1649
01:33:29,320 --> 01:33:33,519
Speaker 2: I hate it, Garrison, I hate it. But also I

1650
01:33:33,680 --> 01:33:37,320
Speaker 2: have made a commitment. I have made a commitment to

1651
01:33:37,920 --> 01:33:41,080
Speaker 2: making a prediction about the election this year and sticking

1652
01:33:41,080 --> 01:33:43,719
Speaker 2: to it, even though it's going to make everybody angry.

1653
01:33:43,760 --> 01:33:46,519
Speaker 2: And I have a good reason for doing so. It's

1654
01:33:46,560 --> 01:33:49,519
Speaker 2: because I want to try one of the rarest drugs

1655
01:33:49,640 --> 01:33:54,160
Speaker 2: that exists in the world today, that Nate Silver. Shit. See,

1656
01:33:54,720 --> 01:33:59,000
Speaker 2: everyone's been wondering since like twenty twenty what's up with

1657
01:33:59,080 --> 01:34:01,439
Speaker 2: that guy. Did he like lose his mind? Was he

1658
01:34:01,560 --> 01:34:05,719
Speaker 2: always kind of like out there and we just didn't

1659
01:34:05,760 --> 01:34:08,839
Speaker 2: notice because he he got lucky a couple of elections

1660
01:34:08,880 --> 01:34:11,559
Speaker 2: in a row. And the answer to that is no,

1661
01:34:11,920 --> 01:34:15,439
Speaker 2: Nate was a pretty reasonable guy. He comes out of

1662
01:34:15,520 --> 01:34:18,280
Speaker 2: like not politics. He only got into politics in two

1663
01:34:18,280 --> 01:34:22,120
Speaker 2: thousand and six because they banned online gambling and he

1664
01:34:22,200 --> 01:34:25,560
Speaker 2: got angry about it. And then he accurately predicted the

1665
01:34:25,560 --> 01:34:28,400
Speaker 2: two thousand and eight and twenty twelve elections.

1666
01:34:28,240 --> 01:34:30,840
Speaker 7: Which wasn't hard to be fu Which wasn't hard.

1667
01:34:30,640 --> 01:34:32,600
Speaker 2: No, it was not. I mean, he got all the

1668
01:34:32,720 --> 01:34:36,759
Speaker 2: states right, but it was just a matter because people

1669
01:34:36,760 --> 01:34:38,800
Speaker 2: have pointed out he didn't seem to be nearly as

1670
01:34:38,840 --> 01:34:41,880
Speaker 2: accurate in twenty sixteen or twenty twenty. There's a degree

1671
01:34:41,880 --> 01:34:45,160
Speaker 2: of fairness to that. But like twight and twenty twelve

1672
01:34:45,160 --> 01:34:48,240
Speaker 2: were our last non smartphone elections where there wasn't this

1673
01:34:48,439 --> 01:34:52,519
Speaker 2: like big, you know, demon of social media kind of

1674
01:34:52,560 --> 01:34:56,880
Speaker 2: hiding behind everything and making everything a lot weirder. And

1675
01:34:57,400 --> 01:34:59,439
Speaker 2: I think part of you know, I think what ultimately

1676
01:34:59,479 --> 01:35:02,559
Speaker 2: caused Nate's madness though, is that in twenty sixteen he

1677
01:35:02,640 --> 01:35:05,559
Speaker 2: did pretty well. He like laid out he was a

1678
01:35:05,560 --> 01:35:08,160
Speaker 2: twenty nine percent chance of Trump winning, and when he

1679
01:35:08,479 --> 01:35:11,840
Speaker 2: explained what that chance was, how Trump might sweep the

1680
01:35:11,880 --> 01:35:15,400
Speaker 2: Blue Firewall states and whatnot, it's basically what wound up happening,

1681
01:35:15,920 --> 01:35:19,679
Speaker 2: and as like a reward for being more or less correct.

1682
01:35:19,880 --> 01:35:22,240
Speaker 2: While the election was going on, all of the Democrats

1683
01:35:22,240 --> 01:35:25,240
Speaker 2: hated him because the news sources they liked said that

1684
01:35:25,280 --> 01:35:28,080
Speaker 2: Trump had only a two percent chance of winning, and

1685
01:35:28,120 --> 01:35:31,160
Speaker 2: then when the election was over, it became like mainstream

1686
01:35:31,680 --> 01:35:36,120
Speaker 2: kind of reality to just say, yeah, Nate fucked that

1687
01:35:36,160 --> 01:35:38,880
Speaker 2: one up. He finally screwed up, and I think that

1688
01:35:39,360 --> 01:35:42,760
Speaker 2: that mix of things is what's driven him insane. So

1689
01:35:42,920 --> 01:35:46,400
Speaker 2: I've decided to predict that there's a twenty nine percent

1690
01:35:46,520 --> 01:35:50,040
Speaker 2: chance that the election is basically the same as twenty

1691
01:35:50,080 --> 01:35:52,840
Speaker 2: twenty and now, unlike Nate, I don't have any kind

1692
01:35:52,880 --> 01:35:55,360
Speaker 2: of math to back that up. It's just a gut feeling.

1693
01:35:55,400 --> 01:35:58,760
Speaker 2: But I'm calling that now because I want people to

1694
01:35:58,760 --> 01:36:02,160
Speaker 2: get really angry at me now, and then ideally, when

1695
01:36:02,160 --> 01:36:05,240
Speaker 2: I'm right, they'll get even angrier at me, and then

1696
01:36:05,320 --> 01:36:07,960
Speaker 2: I can go insany it on social media and just

1697
01:36:08,040 --> 01:36:10,800
Speaker 2: gradly become completely unhinged and see what it's like to

1698
01:36:10,840 --> 01:36:12,959
Speaker 2: be Nate Silver, the Ultimate high Garrison.

1699
01:36:13,640 --> 01:36:15,599
Speaker 7: See, I thought you were going to say you thought

1700
01:36:15,600 --> 01:36:18,679
Speaker 7: there was a twenty nine percent chance that Nate Silver

1701
01:36:18,720 --> 01:36:23,280
Speaker 7: would just completely completely lose it and do some like like.

1702
01:36:24,000 --> 01:36:25,840
Speaker 2: You do a major terrorism.

1703
01:36:25,920 --> 01:36:26,080
Speaker 5: Yeah.

1704
01:36:26,120 --> 01:36:27,400
Speaker 7: Yeahs that's what I thought.

1705
01:36:28,120 --> 01:36:28,320
Speaker 11: Yeah.

1706
01:36:28,360 --> 01:36:30,880
Speaker 2: He drives a double decker bus into the end of

1707
01:36:30,960 --> 01:36:35,280
Speaker 2: the Lincoln Memorial. God, that's my that's my hope.

1708
01:36:35,320 --> 01:36:37,480
Speaker 7: He storms the five thirty eight headquarters.

1709
01:36:37,880 --> 01:36:43,559
Speaker 2: Yeah, he's gonna take it back once and for all.

1710
01:36:45,000 --> 01:36:49,040
Speaker 7: Okay, so today we're gonna be talking about election polling. Uh,

1711
01:36:49,120 --> 01:36:53,040
Speaker 7: the debate is very very soon here in Atlanta, Georgia,

1712
01:36:53,520 --> 01:36:56,800
Speaker 7: And as a little bit of a preparatory measure, we

1713
01:36:56,880 --> 01:36:59,280
Speaker 7: want to go over some of the actual poll numbers

1714
01:37:00,120 --> 01:37:03,280
Speaker 7: for the twenty twenty four presidential election. I like to

1715
01:37:03,320 --> 01:37:07,599
Speaker 7: start with this Iowa poe from Seltzer and Co. Now,

1716
01:37:07,640 --> 01:37:10,559
Speaker 7: Iowa's a weird one, right. Iowa has has gone read

1717
01:37:10,640 --> 01:37:14,519
Speaker 7: pretty consistently the past two years, although twenty twenty was

1718
01:37:14,600 --> 01:37:17,840
Speaker 7: closer than twenty sixteen. In twenty twenty, Trump won the

1719
01:37:17,840 --> 01:37:21,000
Speaker 7: state by fifty three point one percent to Biden's forty

1720
01:37:21,000 --> 01:37:23,960
Speaker 7: four point nine percent. But the numbers right now are

1721
01:37:24,280 --> 01:37:28,639
Speaker 7: much much worse for Biden. Not good, No, it's it's

1722
01:37:28,680 --> 01:37:30,960
Speaker 7: it's pretty bad. Tr Trump is leading Biden in the

1723
01:37:31,000 --> 01:37:34,880
Speaker 7: general election in Iowa by eighteen percentage points, and third

1724
01:37:34,880 --> 01:37:39,160
Speaker 7: party candidates, including Kennedy and the Libertarian candidate Chase Oliver,

1725
01:37:39,560 --> 01:37:44,320
Speaker 7: are receiving a combined fifteen percent support. It's pretty bad.

1726
01:37:44,320 --> 01:37:45,880
Speaker 7: It hasn't been this bad in a while.

1727
01:37:46,000 --> 01:37:46,160
Speaker 11: Now.

1728
01:37:46,200 --> 01:37:49,519
Speaker 7: People like to use this specific Iowa poll as kind

1729
01:37:49,560 --> 01:37:52,960
Speaker 7: of a barometer for the Midwest in general, and that's,

1730
01:37:53,000 --> 01:37:57,760
Speaker 7: you know, not completely accurate all the time, but it

1731
01:37:57,840 --> 01:38:01,280
Speaker 7: is something that people do consistently to as a general

1732
01:38:01,360 --> 01:38:04,479
Speaker 7: barometer for Trump's possible success in the Midwest. Now we

1733
01:38:04,560 --> 01:38:07,800
Speaker 7: have minnesotatae.

1734
01:38:06,960 --> 01:38:09,880
Speaker 2: Because one of the most probably the most viable path

1735
01:38:09,960 --> 01:38:13,519
Speaker 2: to Biden winning involves holding that quote unquote blue firewall,

1736
01:38:13,520 --> 01:38:17,400
Speaker 2: which doesn't include Iowa obviously. It does include Michigan and Wisconsin,

1737
01:38:18,160 --> 01:38:21,200
Speaker 2: both of which are generally within the margin of error

1738
01:38:21,200 --> 01:38:24,160
Speaker 2: in most polls but looking very sketchy for Biden compared

1739
01:38:24,160 --> 01:38:25,920
Speaker 2: to how he would like them to be at this point.

1740
01:38:26,120 --> 01:38:29,960
Speaker 7: Wisconsin's not looking great. Minnesota. According to a survey a

1741
01:38:30,080 --> 01:38:32,320
Speaker 7: USA poll from just a few days ago, Biden is

1742
01:38:32,400 --> 01:38:33,080
Speaker 7: up six points.

1743
01:38:33,439 --> 01:38:35,680
Speaker 2: Yes, Yes, Michigan is I think the one I was

1744
01:38:35,680 --> 01:38:37,639
Speaker 2: saying is a little closer. Yeah.

1745
01:38:37,800 --> 01:38:40,600
Speaker 7: So that's kind of the situation with this poll. And

1746
01:38:40,640 --> 01:38:41,720
Speaker 7: I'm not going to get into any of the more

1747
01:38:41,760 --> 01:38:45,479
Speaker 7: specific numbers because the numbers in this Iowa poll are

1748
01:38:45,520 --> 01:38:48,120
Speaker 7: going to be actually pretty reminiscent of more of the

1749
01:38:48,200 --> 01:38:51,120
Speaker 7: general election numbers, which we're going to get into, especially

1750
01:38:51,160 --> 01:38:53,760
Speaker 7: when we're going to start factoring in things like the

1751
01:38:53,800 --> 01:38:57,880
Speaker 7: conviction and Trump's popularity among independence which could very well

1752
01:38:57,920 --> 01:39:01,840
Speaker 7: be a major deciding factor in this election. So I'm

1753
01:39:02,280 --> 01:39:05,799
Speaker 7: going to quote from Forbes here quote. Trump leads Biden

1754
01:39:05,880 --> 01:39:08,040
Speaker 7: by one point fifty to twenty nine percent in a

1755
01:39:08,040 --> 01:39:10,479
Speaker 7: CBS poll released Sunday that comes after a streak of

1756
01:39:10,520 --> 01:39:13,880
Speaker 7: surveys found Trump's lead has slipped since his felony conviction

1757
01:39:14,000 --> 01:39:17,519
Speaker 7: Manhattan last month, including a Fox News survey released Wednesday,

1758
01:39:17,520 --> 01:39:20,960
Speaker 7: the nineteenth that shows Biden up by two points, a

1759
01:39:21,000 --> 01:39:23,800
Speaker 7: three point swing since the network's May survey. This was

1760
01:39:23,840 --> 01:39:26,559
Speaker 7: among a streak of five poles since mid June that

1761
01:39:26,600 --> 01:39:31,880
Speaker 7: show Biden beating or tied with Trump unquote. So Biden

1762
01:39:31,880 --> 01:39:34,479
Speaker 7: has made some considerable progress in the polls in the

1763
01:39:34,600 --> 01:39:37,040
Speaker 7: past month. Biden and Trump are now tied in the

1764
01:39:37,040 --> 01:39:39,599
Speaker 7: Morning Consults weekly survey, as Biden has now been leading

1765
01:39:39,600 --> 01:39:42,439
Speaker 7: Trump by a point in for two weeks in a row.

1766
01:39:42,920 --> 01:39:46,080
Speaker 7: A month prior, Trump was way way ahead of Biden,

1767
01:39:46,240 --> 01:39:48,720
Speaker 7: and the two are also tied in the Economist You

1768
01:39:48,840 --> 01:39:51,640
Speaker 7: Go of survey released last Thursday, as well as a

1769
01:39:51,680 --> 01:39:55,640
Speaker 7: PBST Marrist poll from Tuesday the eighteenth.

1770
01:39:56,080 --> 01:39:58,000
Speaker 2: Yeah, and there's a couple of things. I mean, like,

1771
01:39:58,720 --> 01:40:01,240
Speaker 2: it's easy to say that's probably due to the conviction,

1772
01:40:01,360 --> 01:40:04,640
Speaker 2: because that's the biggest thing that's happened since then. But

1773
01:40:04,720 --> 01:40:06,720
Speaker 2: I also think there's a decent chance that some of

1774
01:40:06,760 --> 01:40:08,880
Speaker 2: that is just the result of the fact that Trump

1775
01:40:08,960 --> 01:40:11,160
Speaker 2: is now definitely the nominee, which was a little more

1776
01:40:11,240 --> 01:40:14,000
Speaker 2: up in the air previously, so now people are kind

1777
01:40:14,000 --> 01:40:17,640
Speaker 2: of forced to consider what that really means. But it

1778
01:40:17,680 --> 01:40:20,880
Speaker 2: does seem in general like there's been motion and like

1779
01:40:20,920 --> 01:40:23,879
Speaker 2: things have been moving in Biden's favor since the conviction.

1780
01:40:24,439 --> 01:40:26,759
Speaker 2: So I don't think it's wrong to say that probably

1781
01:40:26,800 --> 01:40:29,559
Speaker 2: overall the evidence suggests helps Biden at this point.

1782
01:40:30,040 --> 01:40:32,840
Speaker 7: Yeah, and the Fox News survey is really interesting because

1783
01:40:32,880 --> 01:40:34,720
Speaker 7: they have this They have it on a graph here

1784
01:40:35,280 --> 01:40:39,400
Speaker 7: and you can see Biden steadily moving upwards on the

1785
01:40:39,479 --> 01:40:45,880
Speaker 7: graph very consistently, and Trump has largely flatlined. If not,

1786
01:40:46,160 --> 01:40:49,160
Speaker 7: is actually kind of moving a little bit down. Robert F.

1787
01:40:49,200 --> 01:40:53,839
Speaker 7: Kennedy Junior is also moving quite down. Yeah, not completely

1788
01:40:53,840 --> 01:40:56,880
Speaker 7: surprising considering the whole brain brainworms thing.

1789
01:40:57,520 --> 01:41:00,360
Speaker 2: He's going to be the most interesting thing, the most

1790
01:41:00,360 --> 01:41:02,599
Speaker 2: interesting thing because whether or not Trump wins could mean

1791
01:41:02,600 --> 01:41:05,160
Speaker 2: whether or not we are able to continue doing what

1792
01:41:05,200 --> 01:41:08,360
Speaker 2: we do. But OURFK is kind of the most interesting

1793
01:41:08,400 --> 01:41:11,880
Speaker 2: thing for me in terms of like, are is it

1794
01:41:11,920 --> 01:41:13,519
Speaker 2: going to Is there going to be any kind of

1795
01:41:13,520 --> 01:41:16,439
Speaker 2: evidence that there's actually real hunger for a third party

1796
01:41:16,479 --> 01:41:19,600
Speaker 2: which everyone keeps talking about. Is this constant topic of

1797
01:41:19,640 --> 01:41:24,639
Speaker 2: discussion in US politics, but it never happens, and and

1798
01:41:24,760 --> 01:41:27,479
Speaker 2: people were getting very RFK is obviously a bad guy

1799
01:41:27,520 --> 01:41:29,680
Speaker 2: to pin your hopes on a viable third party on,

1800
01:41:30,160 --> 01:41:32,000
Speaker 2: but I am interested to see if it if it,

1801
01:41:32,080 --> 01:41:37,200
Speaker 2: because there's a decent evidence that the primary chunk because

1802
01:41:37,200 --> 01:41:40,720
Speaker 2: when you factor in RFK, Biden's lead doesn't go down right,

1803
01:41:40,960 --> 01:41:43,000
Speaker 2: because RFK is really popular among a lot of the

1804
01:41:43,000 --> 01:41:46,880
Speaker 2: independence that Trump is already strong with. And so the

1805
01:41:46,880 --> 01:41:50,559
Speaker 2: big question is, like, is he going to drain votes

1806
01:41:50,560 --> 01:41:53,360
Speaker 2: from Trump or just kind of fizzle out. And I

1807
01:41:53,439 --> 01:41:55,080
Speaker 2: think right now the smart money is kind of on

1808
01:41:55,160 --> 01:41:57,719
Speaker 2: fizzling out. But it's it's a little hard to say.

1809
01:41:58,880 --> 01:42:01,040
Speaker 7: Do you know what we can say for sure though, Robert.

1810
01:42:01,560 --> 01:42:05,240
Speaker 2: That Robert F. Kennedy Junior is the primary sponsor of

1811
01:42:05,280 --> 01:42:06,120
Speaker 2: this podcast.

1812
01:42:06,280 --> 01:42:08,559
Speaker 7: God, I hope, so, I hope, I really hope we

1813
01:42:08,560 --> 01:42:10,360
Speaker 7: start getting some RFK ads on here.

1814
01:42:10,760 --> 01:42:12,840
Speaker 2: Look, folks, if you if you're not sure whether or

1815
01:42:12,880 --> 01:42:14,760
Speaker 2: not you want to vote for RFK, we get it.

1816
01:42:14,800 --> 01:42:16,840
Speaker 2: You know, obviously it's a this is a big choice.

1817
01:42:16,840 --> 01:42:19,240
Speaker 2: But our recommendation is head down to the Gulf of

1818
01:42:19,280 --> 01:42:23,120
Speaker 2: Galveston and shove your head in that in that Texas

1819
01:42:23,400 --> 01:42:26,800
Speaker 2: coast water, get a couple of Amibas rattling around on

1820
01:42:26,800 --> 01:42:28,840
Speaker 2: that brainy ores, and then see how you feel about

1821
01:42:28,880 --> 01:42:42,519
Speaker 2: our FK Junior. You know, all right, we are back.

1822
01:42:43,240 --> 01:42:45,880
Speaker 7: Let's talk a little bit about independence, because this voting

1823
01:42:45,880 --> 01:42:50,519
Speaker 7: block will basically be the deciding factor in this whole election.

1824
01:42:51,240 --> 01:42:55,200
Speaker 7: So that PBS Marrist poll that found Trump and Biden

1825
01:42:55,360 --> 01:42:59,600
Speaker 7: tied also found that Trump has lost six points with

1826
01:42:59,600 --> 01:43:02,920
Speaker 7: independent compared to their poll taken just before his conviction

1827
01:43:03,200 --> 01:43:07,440
Speaker 7: last May. And Biden has gained eight points with independence

1828
01:43:07,479 --> 01:43:10,520
Speaker 7: and now leads Trump by two points in that category.

1829
01:43:10,560 --> 01:43:13,720
Speaker 7: And similarly, the Fox poll also shows Biden leading by

1830
01:43:14,000 --> 01:43:15,920
Speaker 7: nine points among independents.

1831
01:43:17,120 --> 01:43:20,599
Speaker 2: And that's a massive shift. That's enough of a shift

1832
01:43:20,600 --> 01:43:24,200
Speaker 2: that I wonder how much polling methodology maybe to explain

1833
01:43:24,240 --> 01:43:26,559
Speaker 2: for it, Like were they just pulling these people? Were

1834
01:43:26,560 --> 01:43:28,840
Speaker 2: they pulling them badly before? Or are they pulling them

1835
01:43:28,840 --> 01:43:32,400
Speaker 2: badly now? Because that's that's quite a lot of movement.

1836
01:43:32,960 --> 01:43:35,200
Speaker 7: We'll talk a little bit about pulling methodology here at

1837
01:43:35,240 --> 01:43:38,160
Speaker 7: the end, because it might. Yeah, it is, certainly the

1838
01:43:38,200 --> 01:43:42,120
Speaker 7: polling methodology produces a large degree of the numbers. A

1839
01:43:42,120 --> 01:43:43,720
Speaker 7: lot of these polls have a margin of error of

1840
01:43:43,760 --> 01:43:47,760
Speaker 7: about three point five percent. But this this finding is

1841
01:43:47,800 --> 01:43:51,360
Speaker 7: consistent across almost every single poll being done right now.

1842
01:43:52,000 --> 01:43:56,439
Speaker 7: A political uh ipsos poll from mid June found that

1843
01:43:56,479 --> 01:43:58,800
Speaker 7: thirty two percent of independence say they are now less

1844
01:43:58,920 --> 01:44:01,760
Speaker 7: likely to support Trump after his conviction, with twenty one

1845
01:44:01,840 --> 01:44:05,120
Speaker 7: percent saying it would be an important factor in their vote.

1846
01:44:05,720 --> 01:44:08,519
Speaker 2: Yep, And I did. This is the kind when we

1847
01:44:08,520 --> 01:44:11,240
Speaker 2: were taught would talk in the group chat before the conviction.

1848
01:44:11,360 --> 01:44:13,439
Speaker 2: I would. I made a note a couple of times

1849
01:44:13,439 --> 01:44:15,680
Speaker 2: of the fact that there's a sizeable number of Americans

1850
01:44:15,720 --> 01:44:18,720
Speaker 2: who are not what you'd call high information voters but

1851
01:44:18,840 --> 01:44:22,280
Speaker 2: just feel really gross about voting for a felon. And

1852
01:44:22,360 --> 01:44:24,559
Speaker 2: I think these are the kind of people who are

1853
01:44:24,600 --> 01:44:26,760
Speaker 2: independence a lot of the times. They're not people who

1854
01:44:26,800 --> 01:44:28,759
Speaker 2: think much about politics. They're people who.

1855
01:44:28,560 --> 01:44:31,720
Speaker 7: Makes part m typically yeah.

1856
01:44:31,280 --> 01:44:33,240
Speaker 2: Yeah, yeah, and they can kind of make a swing,

1857
01:44:33,320 --> 01:44:36,040
Speaker 2: gut decision on either of these guys in a moment,

1858
01:44:36,080 --> 01:44:39,080
Speaker 2: and if you tell well, he's a felon, that matters

1859
01:44:39,120 --> 01:44:43,400
Speaker 2: to some people. There's like the this frustrates a lot

1860
01:44:43,400 --> 01:44:46,840
Speaker 2: of like high information political analysts, the fact that so

1861
01:44:46,920 --> 01:44:50,720
Speaker 2: many Americans just kind of like make almost random decisions

1862
01:44:50,800 --> 01:44:53,439
Speaker 2: like flip of a coid calls about what to do, but.

1863
01:44:53,920 --> 01:44:57,800
Speaker 7: Which is also what makes pulling very hard. Is right,

1864
01:44:58,160 --> 01:45:00,719
Speaker 7: but all all polls also into hey, that this will

1865
01:45:00,840 --> 01:45:03,800
Speaker 7: probably be a much closer election than twenty twenties, and

1866
01:45:03,840 --> 01:45:08,160
Speaker 7: in an election this close, small shifts among independents could

1867
01:45:08,320 --> 01:45:10,679
Speaker 7: very well determine the outcome. Now, I'm going to quote

1868
01:45:10,720 --> 01:45:15,000
Speaker 7: from that Political Episos report on their own poll quote

1869
01:45:15,120 --> 01:45:17,360
Speaker 7: quote A plurality of respondents in our poll, thirty eight

1870
01:45:17,360 --> 01:45:20,000
Speaker 7: percent reported that Trump's conviction would have no impact on

1871
01:45:20,040 --> 01:45:22,360
Speaker 7: their likelihood support Trump for president. Thirty three percent of

1872
01:45:22,400 --> 01:45:24,120
Speaker 7: respondent said that the conviction made them less likely to

1873
01:45:24,160 --> 01:45:27,519
Speaker 7: support Trump, while only seventeen percent said it made them

1874
01:45:27,680 --> 01:45:31,599
Speaker 7: more likely. These results were worse for Trunk. Among respondents

1875
01:45:31,600 --> 01:45:34,840
Speaker 7: who said they were political independents, thirty two percent said

1876
01:45:34,840 --> 01:45:36,840
Speaker 7: that the conviction made them less likely to support and

1877
01:45:36,920 --> 01:45:39,600
Speaker 7: only twelve said that it made them more likely to

1878
01:45:39,600 --> 01:45:43,439
Speaker 7: support Trump unquote. And that same poll also found that

1879
01:45:43,640 --> 01:45:46,240
Speaker 7: nine percent of Republicans say they're now less likely to

1880
01:45:46,240 --> 01:45:47,240
Speaker 7: support Trump.

1881
01:45:47,560 --> 01:45:50,519
Speaker 2: Yeah, which is massive, and that that actually makes me

1882
01:45:50,560 --> 01:45:52,480
Speaker 2: want to bring up one of the guys the analysts

1883
01:45:52,479 --> 01:45:57,160
Speaker 2: I've been reading, because this is actually the extent that

1884
01:45:57,160 --> 01:45:59,960
Speaker 2: there's any real basis behind my twenty nine percent chance

1885
01:46:00,160 --> 01:46:03,960
Speaker 2: things work out basically, like twenty twenty one, it's this

1886
01:46:03,960 --> 01:46:08,800
Speaker 2: this fucking dude Helmet Norpoth Norpoth is he's one of

1887
01:46:08,840 --> 01:46:11,800
Speaker 2: these guys who's built a model, Like you get these

1888
01:46:11,840 --> 01:46:15,320
Speaker 2: every now and then, like because they're great content for

1889
01:46:15,520 --> 01:46:17,639
Speaker 2: TV news. Dudes like, oh, this guy's got a model

1890
01:46:17,680 --> 01:46:21,679
Speaker 2: prediction the election. His model predicted the last forty elections properly,

1891
01:46:21,680 --> 01:46:23,519
Speaker 2: even though they like ran them through after we knew

1892
01:46:23,560 --> 01:46:25,720
Speaker 2: how the elections were going to go, and I don't

1893
01:46:25,760 --> 01:46:29,160
Speaker 2: know how fair that is. Helmet actually did accurately predict

1894
01:46:29,800 --> 01:46:31,960
Speaker 2: a couple of like the last He's had his model

1895
01:46:32,000 --> 01:46:34,839
Speaker 2: going the primary model for like the last seven elections,

1896
01:46:34,840 --> 01:46:37,439
Speaker 2: and it predicted five of them correctly. Now, one it

1897
01:46:37,479 --> 01:46:41,799
Speaker 2: got right was twenty sixteen, although it predicted how Trump

1898
01:46:41,920 --> 01:46:44,200
Speaker 2: was going to win wrong, it got that he was

1899
01:46:44,240 --> 01:46:46,519
Speaker 2: going to win right. I don't know how much credence

1900
01:46:46,560 --> 01:46:47,920
Speaker 2: you want to give that. And he fucked up in

1901
01:46:47,960 --> 01:46:50,120
Speaker 2: twenty twenty, although you know the fact that there was

1902
01:46:50,160 --> 01:46:52,280
Speaker 2: a pandemic, then I'll give him a little bit of grace.

1903
01:46:52,360 --> 01:46:55,240
Speaker 2: The other one he fucked up was twenty was two thousand,

1904
01:46:55,760 --> 01:46:56,720
Speaker 2: but he called it.

1905
01:46:57,040 --> 01:46:58,000
Speaker 10: He called it for Gore.

1906
01:46:58,160 --> 01:47:01,960
Speaker 2: So yeah, well, I'll read from his website describing like

1907
01:47:01,960 --> 01:47:03,880
Speaker 2: how this works, because it's relevant to what you're talking

1908
01:47:03,920 --> 01:47:06,360
Speaker 2: about in terms of independent voters, and it's also relevant

1909
01:47:06,400 --> 01:47:09,840
Speaker 2: to what I think is another major factor and who's

1910
01:47:09,840 --> 01:47:13,479
Speaker 2: going to ultimately win, which is likely voters versus like correct.

1911
01:47:13,800 --> 01:47:16,280
Speaker 2: If I feel like it, I'll vote because Biden's lead

1912
01:47:16,880 --> 01:47:21,320
Speaker 2: jumps substantially when you consider likely voters correct whereas Trump

1913
01:47:21,360 --> 01:47:25,040
Speaker 2: does very well with like maybe voters, and I kind

1914
01:47:25,040 --> 01:47:26,280
Speaker 2: of don't feel like this is going to be a

1915
01:47:26,320 --> 01:47:29,479
Speaker 2: high turnout election. Rights, that's what I am seeing.

1916
01:47:29,680 --> 01:47:31,679
Speaker 7: We have some data on this that I'll talk about later.

1917
01:47:31,760 --> 01:47:34,679
Speaker 2: Yeah, yeah, And Helmet's model works that way. So quote,

1918
01:47:34,840 --> 01:47:37,479
Speaker 2: the primary model gives President Joe Biden a seventy five

1919
01:47:37,479 --> 01:47:40,559
Speaker 2: percent chance to defeat Donald Trump in November. This forecast

1920
01:47:40,560 --> 01:47:42,640
Speaker 2: takes account of the performance of the two candidates in

1921
01:47:42,680 --> 01:47:46,080
Speaker 2: the early primaries. Biden won the Democratic contest in those

1922
01:47:46,120 --> 01:47:49,040
Speaker 2: states by far larger margins than Trump did and Republican ones.

1923
01:47:49,240 --> 01:47:51,479
Speaker 2: What also benefits Biden and the general election is an

1924
01:47:51,479 --> 01:47:54,799
Speaker 2: electoral cycle that fits the sitting president in a nutshell.

1925
01:47:54,840 --> 01:47:57,839
Speaker 2: A White House incumbent facing no significant challenge in primaries

1926
01:47:57,840 --> 01:48:01,200
Speaker 2: almost always wins reelection for the electoral college. The most

1927
01:48:01,240 --> 01:48:04,040
Speaker 2: likely outcome of the twenty twenty four election predicted by

1928
01:48:04,040 --> 01:48:06,040
Speaker 2: the model is that Biden will get three fifteen and

1929
01:48:06,080 --> 01:48:09,000
Speaker 2: Trump two two three And basically, so part of why

1930
01:48:09,040 --> 01:48:11,960
Speaker 2: I think this guy's probably a hack, but it's kind

1931
01:48:11,960 --> 01:48:15,240
Speaker 2: of interesting is he's looking at how they performed relative

1932
01:48:15,280 --> 01:48:18,599
Speaker 2: to each other in their primaries, and you could there's

1933
01:48:18,640 --> 01:48:20,880
Speaker 2: a degree to which you can say, like, well, primaries

1934
01:48:20,920 --> 01:48:24,360
Speaker 2: are absolutely not general elections. But what it does show

1935
01:48:24,479 --> 01:48:29,000
Speaker 2: is relative how much Trump's support has faded from Republicans.

1936
01:48:29,120 --> 01:48:33,680
Speaker 2: And Trump actually did considerably less well in the primaries

1937
01:48:33,960 --> 01:48:36,160
Speaker 2: than he did in twenty twenty. Right totally, there was

1938
01:48:36,200 --> 01:48:41,960
Speaker 2: a degree of actual like hunger to vote for Kerry

1939
01:48:42,040 --> 01:48:47,160
Speaker 2: Lake Humaya, I think, is the Arizona Right candidate who

1940
01:48:47,240 --> 01:48:51,080
Speaker 2: was running against him, and he showed weakness in a

1941
01:48:51,160 --> 01:48:54,439
Speaker 2: number of primary states that was not there in twenty twenty,

1942
01:48:54,439 --> 01:48:56,960
Speaker 2: which suggests, along with the polling you showed, you know

1943
01:48:57,040 --> 01:48:59,160
Speaker 2: that like nine percent of Republicans are less likely to

1944
01:48:59,200 --> 01:49:01,680
Speaker 2: vote from after they can an amount of weakness in

1945
01:49:01,720 --> 01:49:06,400
Speaker 2: his base that could be pretty meaningful when we get

1946
01:49:06,439 --> 01:49:08,240
Speaker 2: to the election. And I don't think it's been taken

1947
01:49:08,280 --> 01:49:11,000
Speaker 2: into account enough by, for example, folks on the left

1948
01:49:11,040 --> 01:49:14,080
Speaker 2: looking at how much everybody hates Joe Biden, which is

1949
01:49:14,120 --> 01:49:16,559
Speaker 2: also a very real factor. But I think that people

1950
01:49:16,600 --> 01:49:19,160
Speaker 2: are kind of denying the degree to which a lot

1951
01:49:19,200 --> 01:49:21,799
Speaker 2: of folks who should be his based don't like Trump anymore.

1952
01:49:22,240 --> 01:49:24,240
Speaker 7: Yeah, and this is one of the weird things. Post

1953
01:49:24,320 --> 01:49:26,720
Speaker 7: to conviction. There were some pundits who are trying to

1954
01:49:26,760 --> 01:49:29,840
Speaker 7: make an argument that somehow the conviction would actually make

1955
01:49:30,120 --> 01:49:34,760
Speaker 7: Trump a more popular choice, which maybe works if you're

1956
01:49:34,800 --> 01:49:37,719
Speaker 7: like a contrarian, but it doesn't really make much sense.

1957
01:49:38,120 --> 01:49:40,439
Speaker 7: And if you look at like the approval ratings for

1958
01:49:41,040 --> 01:49:44,400
Speaker 7: the conviction and the verdict, they fall pretty pretty well

1959
01:49:44,400 --> 01:49:47,960
Speaker 7: on party lines. It's really going to come down to independence.

1960
01:49:49,000 --> 01:49:51,760
Speaker 7: Like everyone who's going to vote for Trump, who like

1961
01:49:51,960 --> 01:49:54,040
Speaker 7: really really really want to vote for Trump, are still

1962
01:49:54,040 --> 01:49:57,200
Speaker 7: going to vote for Trump, right, Like that's how it goes.

1963
01:49:57,320 --> 01:49:59,880
Speaker 2: Absolutely not, and they will buy the I'm voting for

1964
01:50:00,000 --> 01:50:02,519
Speaker 2: the felon hats that Facebook keeps trying to sell.

1965
01:50:02,320 --> 01:50:04,479
Speaker 7: Made absolutely right, Like, those are not the people that

1966
01:50:04,520 --> 01:50:06,840
Speaker 7: are in question, But there is a large number of

1967
01:50:06,880 --> 01:50:09,160
Speaker 7: other people who do not own a mega hat who

1968
01:50:09,200 --> 01:50:12,400
Speaker 7: are actually, you know, questionable in who they're going to

1969
01:50:12,520 --> 01:50:14,240
Speaker 7: vote for. On this note, I'd like to like to

1970
01:50:14,320 --> 01:50:17,599
Speaker 7: quote again from Forbes quote. Polls consistently show the conviction

1971
01:50:17,720 --> 01:50:20,280
Speaker 7: is a low priority for most voters in deciding who

1972
01:50:20,320 --> 01:50:23,160
Speaker 7: to actually cast their ballot for. The political Ipsos poll

1973
01:50:23,200 --> 01:50:25,200
Speaker 7: found that fifty three percent said it's not important said

1974
01:50:25,200 --> 01:50:27,240
Speaker 7: it's not important to their voting decision. Well sixty one

1975
01:50:27,280 --> 01:50:30,519
Speaker 7: percent in a Reuter's pull released last week, said it

1976
01:50:30,520 --> 01:50:33,559
Speaker 7: won't impact their vote unquote. Now, one of the clearer

1977
01:50:33,600 --> 01:50:36,320
Speaker 7: shifts that we have seen post verdict is a sizable

1978
01:50:36,320 --> 01:50:39,960
Speaker 7: increase in Biden voters who list stopping Trump as one

1979
01:50:39,960 --> 01:50:42,600
Speaker 7: of their main reasons to do so. This we have

1980
01:50:42,680 --> 01:50:45,800
Speaker 7: numbers from March to now, is that the main reason

1981
01:50:45,800 --> 01:50:48,960
Speaker 7: for supporting Biden. In March, we had forty seven percent

1982
01:50:49,080 --> 01:50:52,200
Speaker 7: saying it's to oppose Trump. Now it's fifty four percent

1983
01:50:52,280 --> 01:50:54,840
Speaker 7: saying it's to oppose Trump. Which I think that number

1984
01:50:54,880 --> 01:50:57,639
Speaker 7: will only increase the closer we get to the election,

1985
01:50:57,800 --> 01:51:00,599
Speaker 7: because people don't want Trump to be present, and again

1986
01:51:00,840 --> 01:51:04,160
Speaker 7: even though they don't like Biden like. The other thing

1987
01:51:04,240 --> 01:51:06,840
Speaker 7: with these numbers is that the percent of people who

1988
01:51:06,920 --> 01:51:10,120
Speaker 7: say I like Biden as reason for supporting him has

1989
01:51:10,240 --> 01:51:15,040
Speaker 7: decreased since March. Yes, yes, by four percent.

1990
01:51:15,360 --> 01:51:18,439
Speaker 2: Of course, because he's not likable and he's he shouldn't

1991
01:51:18,479 --> 01:51:22,599
Speaker 2: be president still, but Trump is even like and people

1992
01:51:22,680 --> 01:51:26,240
Speaker 2: understand like I that is the number one thing when

1993
01:51:26,240 --> 01:51:29,120
Speaker 2: I go out of like my the bubble of my

1994
01:51:29,200 --> 01:51:31,920
Speaker 2: friends and whatnot and talk to family members or just

1995
01:51:32,000 --> 01:51:35,479
Speaker 2: like have conversations with ret like uber drivers or whatnot

1996
01:51:35,520 --> 01:51:39,080
Speaker 2: about politics. I have not heard a single person state

1997
01:51:39,160 --> 01:51:41,519
Speaker 2: a reason for vote. They want to vote for Biden

1998
01:51:41,720 --> 01:51:43,840
Speaker 2: that is more important than I don't want Trump to

1999
01:51:43,880 --> 01:51:47,559
Speaker 2: be president. That is everyone that I encounter basically like I'm,

2000
01:51:48,000 --> 01:51:51,280
Speaker 2: I'm obviously you have other people, but it is weird

2001
01:51:51,760 --> 01:51:54,160
Speaker 2: to the extent to which that's what this election is

2002
01:51:54,200 --> 01:51:56,400
Speaker 2: going to come down on. And I kind of think

2003
01:51:56,439 --> 01:51:59,800
Speaker 2: it's evidence that like of a of a failure and

2004
01:51:59,800 --> 01:52:03,200
Speaker 2: strategy in Trump's part, because I think he probably could

2005
01:52:03,200 --> 01:52:06,759
Speaker 2: do better if he were to focus on allaying those

2006
01:52:06,800 --> 01:52:09,920
Speaker 2: fears that he wants to become a dictator as opposed

2007
01:52:09,960 --> 01:52:12,519
Speaker 2: to harping on like one of the things that's interesting

2008
01:52:12,560 --> 01:52:15,559
Speaker 2: to me. He's campaigning very heavily in Wisconsin right now.

2009
01:52:15,800 --> 01:52:18,400
Speaker 2: He's already made like two visits just to southeast Wisconsin

2010
01:52:18,400 --> 01:52:21,080
Speaker 2: in the last two months. Because Wisconsin is up for

2011
01:52:21,120 --> 01:52:23,840
Speaker 2: grabs right Every poll I've seen basically is within margin

2012
01:52:23,880 --> 01:52:26,280
Speaker 2: of air. It's either guy's game, and it's a critical state.

2013
01:52:26,920 --> 01:52:31,479
Speaker 2: And Trump is hammering Biden on crime in Wisconsin. Right

2014
01:52:32,400 --> 01:52:34,080
Speaker 2: look at how your dims have done, look at how

2015
01:52:34,120 --> 01:52:37,080
Speaker 2: much more violent this city's become. And about one percent

2016
01:52:37,120 --> 01:52:41,120
Speaker 2: of registered voters in Wisconsin consider crime a major concern

2017
01:52:41,200 --> 01:52:43,840
Speaker 2: in a presidential election. And part of that's because like

2018
01:52:43,960 --> 01:52:47,559
Speaker 2: violent crime has dropped and like massively in Wisconsin and

2019
01:52:47,680 --> 01:52:51,559
Speaker 2: nationwide over the last year. And I do wonder the

2020
01:52:51,640 --> 01:52:54,519
Speaker 2: extent to which because Americans' views on crime are not

2021
01:52:54,600 --> 01:52:57,080
Speaker 2: based on how bad crime actually is. But I also

2022
01:52:57,160 --> 01:53:01,280
Speaker 2: wonder if people are start are like the degree to

2023
01:53:01,320 --> 01:53:03,679
Speaker 2: which that's a vote in concern for people is fading

2024
01:53:03,760 --> 01:53:06,920
Speaker 2: because it has dropped so much. And I'll be curious

2025
01:53:06,960 --> 01:53:09,479
Speaker 2: to see if kind of Trump's strategy of hammering the

2026
01:53:09,520 --> 01:53:12,639
Speaker 2: Democrats because they're bad on crime is going to prove

2027
01:53:12,680 --> 01:53:14,640
Speaker 2: to be a serious misstep.

2028
01:53:14,840 --> 01:53:17,839
Speaker 7: Well, even Fox News has had to do recent segments

2029
01:53:17,880 --> 01:53:20,200
Speaker 7: talking about how there actually has been a drop in crime,

2030
01:53:20,560 --> 01:53:24,479
Speaker 7: even though Americans feel like it hasn't, which is quite

2031
01:53:24,479 --> 01:53:28,680
Speaker 7: funny little tidbit. We're all looking for the guy who

2032
01:53:28,720 --> 01:53:31,080
Speaker 7: did this moment. Now, I do want to get through

2033
01:53:31,080 --> 01:53:33,120
Speaker 7: a few more conviction numbers. I'm going to quote from

2034
01:53:33,120 --> 01:53:36,519
Speaker 7: politicals report on their own poll regarding the importance of

2035
01:53:36,560 --> 01:53:39,280
Speaker 7: the conviction in people's vote. Quote, twenty two percent of

2036
01:53:39,280 --> 01:53:42,160
Speaker 7: respondents said the conviction is important to how they will

2037
01:53:42,240 --> 01:53:44,519
Speaker 7: vote and that it will make them less likely to

2038
01:53:44,520 --> 01:53:47,679
Speaker 7: support Trump. Only six percent of respondents took the other

2039
01:53:47,720 --> 01:53:49,960
Speaker 7: side of the question, saying they are more likely to

2040
01:53:49,960 --> 01:53:54,200
Speaker 7: support A nearly identical negative effect showed up among independents,

2041
01:53:54,320 --> 01:53:56,240
Speaker 7: with twenty one percent saying they are less likely to

2042
01:53:56,240 --> 01:53:59,920
Speaker 7: support and five percent saying they are more likely unquote now.

2043
01:54:00,360 --> 01:54:02,120
Speaker 7: Of those who say the conviction is important to how

2044
01:54:02,120 --> 01:54:05,320
Speaker 7: they will vote, seven percent of Republicans say they are

2045
01:54:05,520 --> 01:54:08,840
Speaker 7: less likely to support Trump. So that's an interesting number,

2046
01:54:09,479 --> 01:54:12,439
Speaker 7: and only thirteen percent say they are more likely and like,

2047
01:54:12,479 --> 01:54:14,040
Speaker 7: come on, those people were always going to vote for

2048
01:54:14,040 --> 01:54:17,240
Speaker 7: Trump anyway. Forty percent of Democrats, of course, say that

2049
01:54:17,280 --> 01:54:20,800
Speaker 7: they are less likely now. Twenty eight percent of Republicans

2050
01:54:20,920 --> 01:54:23,599
Speaker 7: say that the conviction makes them more likely to support Trump,

2051
01:54:23,680 --> 01:54:25,960
Speaker 7: but it won't affect their vote, and among those who

2052
01:54:26,000 --> 01:54:28,160
Speaker 7: said the conviction isn't important to how they will vote,

2053
01:54:28,240 --> 01:54:31,240
Speaker 7: forty percent said that it has basically no impact on

2054
01:54:31,240 --> 01:54:34,640
Speaker 7: their support of Trump. Most those people are independents now.

2055
01:54:34,680 --> 01:54:37,200
Speaker 7: Political also asked respondents if they thought the prosecution was

2056
01:54:37,240 --> 01:54:40,960
Speaker 7: brought to help Joe Biden, and most around fifty one

2057
01:54:40,960 --> 01:54:44,240
Speaker 7: percent disagree with the claim, but forty three percent agreed

2058
01:54:44,520 --> 01:54:47,720
Speaker 7: and said that the case had probably been brought to

2059
01:54:47,720 --> 01:54:51,240
Speaker 7: help Biden, and these results are roughly similar among independents.

2060
01:54:51,320 --> 01:54:54,840
Speaker 7: So still most people don't think so, and there's people

2061
01:54:54,840 --> 01:54:57,959
Speaker 7: who have, you know, suspicions. Not not super surprising.

2062
01:54:58,400 --> 01:54:58,560
Speaker 13: Now.

2063
01:54:58,640 --> 01:55:01,760
Speaker 7: Political notes that these thre might be movable, though these

2064
01:55:01,800 --> 01:55:06,440
Speaker 7: are not necessarily locked down opinions as quote, roughly a

2065
01:55:06,480 --> 01:55:10,680
Speaker 7: third of all responders and independence said that they still

2066
01:55:10,680 --> 01:55:13,200
Speaker 7: do not understand the details of the case. Well unquote,

2067
01:55:13,600 --> 01:55:18,000
Speaker 7: so glorious, those are not really set in stone. And

2068
01:55:18,320 --> 01:55:21,200
Speaker 7: Political also notes that there's a number of upcoming events

2069
01:55:21,240 --> 01:55:24,600
Speaker 7: and variables that could change of the public's opinion before November,

2070
01:55:24,920 --> 01:55:27,160
Speaker 7: you know, including all of the ongoing efforts by political

2071
01:55:27,200 --> 01:55:31,040
Speaker 7: operatives to influence people of the public perception of both

2072
01:55:31,040 --> 01:55:33,880
Speaker 7: the conviction and just you know, the election in general.

2073
01:55:34,120 --> 01:55:35,879
Speaker 2: The debates obviously too.

2074
01:55:36,040 --> 01:55:39,000
Speaker 7: The debates as well as Trump's sentencing in Manhattan on

2075
01:55:39,080 --> 01:55:42,160
Speaker 7: July eleventh, which could possibly you know, entail a period

2076
01:55:42,160 --> 01:55:46,360
Speaker 7: of incarceration. Probably not, but if it did, that would

2077
01:55:46,680 --> 01:55:50,360
Speaker 7: that would certainly impact impact these numbers. And also Manhattan

2078
01:55:50,400 --> 01:55:54,200
Speaker 7: Dish attorney Alvin Bragg's testimony before Congress on July twelfth.

2079
01:55:54,520 --> 01:55:57,120
Speaker 7: This this, this could impact the numbers you know regarding

2080
01:55:57,440 --> 01:55:59,200
Speaker 7: you know, how many people think this case is legit

2081
01:55:59,360 --> 01:56:01,360
Speaker 7: versus how much peace think is just purely like a

2082
01:56:01,360 --> 01:56:04,880
Speaker 7: political move. But still about half of adults do approve

2083
01:56:04,920 --> 01:56:07,400
Speaker 7: of Trump's conviction. The AP did a poll with the

2084
01:56:07,520 --> 01:56:11,880
Speaker 7: NORC a week after Trump's conviction, but before Hunter Biden

2085
01:56:11,960 --> 01:56:14,920
Speaker 7: was convicted on that federal gun case, and uslts seems

2086
01:56:14,960 --> 01:56:17,520
Speaker 7: more likely to support Trump's conviction than they are to disapprove,

2087
01:56:18,080 --> 01:56:20,560
Speaker 7: with at least forty eight percent saying they approve and

2088
01:56:20,880 --> 01:56:25,160
Speaker 7: just twenty nine somewhat or strongly disapproving and twenty one

2089
01:56:25,400 --> 01:56:29,160
Speaker 7: you know, not approving or disapproving, to quote from the AP,

2090
01:56:29,720 --> 01:56:33,240
Speaker 7: Republicans are less united on the verdict than Democrats. Roughly

2091
01:56:33,280 --> 01:56:37,320
Speaker 7: six and ten Republicans disapprove, while fifteen percent approve the

2092
01:56:37,360 --> 01:56:40,720
Speaker 7: other to and ten neither approve nor disapprove. Overall, opinions

2093
01:56:40,720 --> 01:56:43,720
Speaker 7: on Trump have barely budged. About six and ten US

2094
01:56:43,720 --> 01:56:46,760
Speaker 7: adults have an unfavorable opinion of Trump, just in line

2095
01:56:47,200 --> 01:56:50,640
Speaker 7: from our findings in a poll conducted last February, four

2096
01:56:50,720 --> 01:56:53,280
Speaker 7: in ten have a favorable view of Trump. When also

2097
01:56:53,440 --> 01:56:57,080
Speaker 7: largely unchanged since February. The numbers are equally poor for Biden.

2098
01:56:57,280 --> 01:57:00,200
Speaker 7: For and ten US adults have a favorable view of

2099
01:57:00,240 --> 01:57:03,040
Speaker 7: the Democratic president, while six and ten have a negative

2100
01:57:03,080 --> 01:57:03,920
Speaker 7: one unquote.

2101
01:57:04,480 --> 01:57:08,520
Speaker 2: Yeah, this is very much unique in races that I

2102
01:57:08,560 --> 01:57:11,800
Speaker 2: can recall a race to the bottom, like who can alienate?

2103
01:57:11,840 --> 01:57:13,840
Speaker 2: Who will alienate less of the base?

2104
01:57:14,280 --> 01:57:18,720
Speaker 7: Right, Like, yeah, no, we Polls consistently are showing that

2105
01:57:18,760 --> 01:57:23,880
Speaker 7: there will be historically that there is historically low voter enthusiasm.

2106
01:57:24,160 --> 01:57:28,160
Speaker 7: Both candidates have very low favorability ratings, and an NBC

2107
01:57:28,320 --> 01:57:31,280
Speaker 7: poll found that sixty four percent of voters say that

2108
01:57:31,320 --> 01:57:33,640
Speaker 7: they are very interested in this year's election, which is

2109
01:57:33,680 --> 01:57:37,879
Speaker 7: a twenty year low, so, you know, not great numbers.

2110
01:57:38,120 --> 01:57:41,280
Speaker 7: And a new CBS poll found that among young Americans

2111
01:57:41,320 --> 01:57:44,000
Speaker 7: who did vote in twenty twenty, only three quarters to

2112
01:57:44,040 --> 01:57:46,680
Speaker 7: say that they'll definitely do so again. Now this this

2113
01:57:46,760 --> 01:57:50,880
Speaker 7: poll also does show that Trump's support among young voters

2114
01:57:51,120 --> 01:57:53,120
Speaker 7: has been almost unchanged since twenty twenty.

2115
01:57:53,320 --> 01:57:57,280
Speaker 2: Yeah, he's done about two percent better, which is fairly

2116
01:57:57,320 --> 01:58:00,280
Speaker 2: minimal considering how much Biden's lead is among that group.

2117
01:58:00,560 --> 01:58:05,480
Speaker 7: But overall, young voters do believe generally progressive values pretty consistently,

2118
01:58:06,080 --> 01:58:07,960
Speaker 7: including support for a ceasefire.

2119
01:58:08,040 --> 01:58:09,720
Speaker 2: And that's i mean, part of the reason why we

2120
01:58:09,760 --> 01:58:13,720
Speaker 2: may not see which could be catastrophic for Biden, because

2121
01:58:14,160 --> 01:58:16,440
Speaker 2: twenty twenty a lot of his win came in the

2122
01:58:16,480 --> 01:58:19,000
Speaker 2: fact that he did deliver so much of that, like

2123
01:58:19,040 --> 01:58:22,000
Speaker 2: so many young voters came out, turnout was so high,

2124
01:58:22,120 --> 01:58:26,280
Speaker 2: and they overwhelmingly supported Biden. There is also, i mean

2125
01:58:26,360 --> 01:58:29,320
Speaker 2: kind of a reason why that might not wind up mattering,

2126
01:58:29,320 --> 01:58:33,200
Speaker 2: which is where Biden I mentioned earlier. Biden does really

2127
01:58:33,200 --> 01:58:36,240
Speaker 2: well among likely voters, much better than he does among

2128
01:58:36,280 --> 01:58:39,160
Speaker 2: the general electorate. And this is part of a shift

2129
01:58:39,400 --> 01:58:43,880
Speaker 2: among white voters with degrees that has been We get

2130
01:58:43,920 --> 01:58:46,360
Speaker 2: a lot of talk and this has been significant, especially

2131
01:58:46,360 --> 01:58:49,600
Speaker 2: like Latino voters shifting towards the GOP has been a

2132
01:58:49,640 --> 01:58:52,600
Speaker 2: really important story too, but this one does not get

2133
01:58:52,640 --> 01:58:55,160
Speaker 2: talked about as much. In the four years since Biden

2134
01:58:55,240 --> 01:58:58,640
Speaker 2: took office, white men with degrees have shifted twenty four

2135
01:58:58,680 --> 01:59:02,240
Speaker 2: points towards Biden, and he has gained nineteen points with

2136
01:59:02,520 --> 01:59:05,600
Speaker 2: among white women with degrees, which is like a huge

2137
01:59:05,640 --> 01:59:08,120
Speaker 2: amount of his support. And also that's one of the

2138
01:59:08,120 --> 01:59:11,640
Speaker 2: groups that's likeliest to vote. Like the strength that Biden

2139
01:59:11,680 --> 01:59:16,400
Speaker 2: has gained among kind of middle of the road leaning

2140
01:59:16,520 --> 01:59:20,560
Speaker 2: conservative suburban voters is potentially going to be a cider

2141
01:59:20,600 --> 01:59:21,200
Speaker 2: in this election.

2142
01:59:21,880 --> 01:59:24,360
Speaker 7: Yeah, and according to The New York Times and Sienna,

2143
01:59:24,520 --> 01:59:27,680
Speaker 7: the polls do seem slightly skewed in Trump's favor actually

2144
01:59:27,720 --> 01:59:31,000
Speaker 7: this year, mostly by disenfranchised voters who may not participate

2145
01:59:31,040 --> 01:59:33,640
Speaker 7: in the upcoming election. And analysis they did found that

2146
01:59:33,680 --> 01:59:36,320
Speaker 7: Biden had led the last three of their polls among

2147
01:59:36,400 --> 01:59:41,000
Speaker 7: twenty twenty voters, but trailed among registered voters overall, which

2148
01:59:41,040 --> 01:59:43,160
Speaker 7: is basically exactly what you're saying.

2149
01:59:43,320 --> 01:59:50,560
Speaker 2: You know, Garrison, speaking of likely voters, are I don't know,

2150
01:59:50,680 --> 01:59:52,880
Speaker 2: that doesn't really lead. And here's the fucking ads. Look,

2151
01:59:52,880 --> 01:59:54,520
Speaker 2: you don't get you don't get a good one. Every

2152
01:59:54,520 --> 01:59:56,200
Speaker 2: time we do this, folks, there's too many.

2153
01:59:56,200 --> 01:59:58,320
Speaker 7: Are likely to listen to these ads.

2154
01:59:58,320 --> 02:00:10,040
Speaker 13: They're fine, So.

2155
02:00:10,120 --> 02:00:10,840
Speaker 10: We are back.

2156
02:00:11,640 --> 02:00:16,960
Speaker 7: Is polling actually useful? This actually useful anymore? The answer

2157
02:00:17,000 --> 02:00:19,680
Speaker 7: is kind of. But you know, people have gotten really

2158
02:00:19,720 --> 02:00:22,000
Speaker 7: really anti polling in recent years. You know, it's a

2159
02:00:22,040 --> 02:00:25,200
Speaker 7: twenty sixteen elections certainly contributed to that. Although yeah, if

2160
02:00:25,240 --> 02:00:27,040
Speaker 7: you look at the actual twenty sixteen polls, it's kind

2161
02:00:27,080 --> 02:00:30,280
Speaker 7: of it's kind of interesting. In twenty sixteen, Clinton generally

2162
02:00:30,360 --> 02:00:33,480
Speaker 7: pulled much higher than Trump for the duration of the race,

2163
02:00:33,840 --> 02:00:36,200
Speaker 7: though in late July the two were neck and neck,

2164
02:00:36,480 --> 02:00:39,920
Speaker 7: with the gap closing once again in late September and

2165
02:00:40,080 --> 02:00:43,160
Speaker 7: the week of the election, Trump was on average trailing

2166
02:00:43,200 --> 02:00:46,640
Speaker 7: by less than three point five percent behind, which is

2167
02:00:46,800 --> 02:00:49,280
Speaker 7: often in the margin of error for these polls, and

2168
02:00:49,520 --> 02:00:53,240
Speaker 7: pollsters usually consider something under three percent being a toss up.

2169
02:00:53,400 --> 02:00:55,760
Speaker 7: Now this is three point five percent, so still is

2170
02:00:55,960 --> 02:00:58,400
Speaker 7: it was trending towards Clinton, and there's there is reasons

2171
02:00:58,400 --> 02:01:01,360
Speaker 7: why in terms of their polling methodology that was flawed,

2172
02:01:01,720 --> 02:01:04,160
Speaker 7: But the polls were actually a bit closer than I

2173
02:01:04,160 --> 02:01:07,320
Speaker 7: think what public perception seems to remember of the twenty

2174
02:01:07,360 --> 02:01:08,040
Speaker 7: sixteen polls.

2175
02:01:09,280 --> 02:01:13,600
Speaker 2: Yes, and this is a part of why the public

2176
02:01:13,760 --> 02:01:17,560
Speaker 2: memory of twenty sixteen and to an extent, twenty twenty

2177
02:01:17,680 --> 02:01:20,000
Speaker 2: and to an extent every election is shown so bad

2178
02:01:20,200 --> 02:01:23,760
Speaker 2: is you can't emphasize this enough. People are dogshit and

2179
02:01:23,960 --> 02:01:27,480
Speaker 2: understanding what poles say, right. They are really bad at

2180
02:01:27,560 --> 02:01:30,720
Speaker 2: understanding uncertainty. One of the things that I hate to

2181
02:01:30,800 --> 02:01:33,280
Speaker 2: keep going back to the Nate silver Well, but I

2182
02:01:33,320 --> 02:01:36,120
Speaker 2: think he's a fascinating case study. And one of the

2183
02:01:36,160 --> 02:01:39,440
Speaker 2: things he pointed out after twenty sixteen. The minute you

2184
02:01:39,480 --> 02:01:42,080
Speaker 2: have a forecast where there's less certainty, people don't like that.

2185
02:01:42,120 --> 02:01:43,760
Speaker 2: The minute you have a forecast that doesn't have a

2186
02:01:43,760 --> 02:01:46,560
Speaker 2: Democrat winning, they don't like that very much. And it's

2187
02:01:46,560 --> 02:01:50,000
Speaker 2: to point out, like his he kind of started to

2188
02:01:50,040 --> 02:01:52,520
Speaker 2: become a heel as soon as he started showing that

2189
02:01:52,680 --> 02:01:56,640
Speaker 2: like Trump had a real shot at winning, and as

2190
02:01:56,800 --> 02:01:59,560
Speaker 2: his as his forecast continue to show kind of weakness

2191
02:01:59,600 --> 02:02:02,840
Speaker 2: among the Democrats, it got people angrier and angrier. And

2192
02:02:02,840 --> 02:02:05,480
Speaker 2: that's most of what makes people determine whether or not

2193
02:02:05,600 --> 02:02:08,960
Speaker 2: something is a credible source on the election. And that's

2194
02:02:09,040 --> 02:02:11,080
Speaker 2: kind of why a lot of this is like a

2195
02:02:11,160 --> 02:02:16,120
Speaker 2: doomed effort, is because people consider, you know, an expert

2196
02:02:16,160 --> 02:02:18,640
Speaker 2: credible if they are saying something they want to hear,

2197
02:02:18,680 --> 02:02:21,360
Speaker 2: because most of what people want in terms of election

2198
02:02:21,480 --> 02:02:24,200
Speaker 2: polling is to feel reassured that things are going to

2199
02:02:24,200 --> 02:02:28,880
Speaker 2: be okay, right, and that's that's your kind of It's

2200
02:02:28,920 --> 02:02:32,320
Speaker 2: always like a confirmation bias game. And it's also one

2201
02:02:32,360 --> 02:02:35,240
Speaker 2: of those things where, like the instant you do well,

2202
02:02:35,400 --> 02:02:38,360
Speaker 2: if you are legitimately a rigorous, you know, expert, and

2203
02:02:38,400 --> 02:02:41,960
Speaker 2: you predict things correctly, you're going to suddenly be this

2204
02:02:42,080 --> 02:02:44,560
Speaker 2: focus of so much media attention and have so much

2205
02:02:44,600 --> 02:02:46,920
Speaker 2: money and job offers thrown your way that it will

2206
02:02:46,960 --> 02:02:49,640
Speaker 2: inherently drive you mad, which is part of why again,

2207
02:02:50,000 --> 02:02:52,480
Speaker 2: I am predicting a twenty nine percent chance that things

2208
02:02:52,520 --> 02:02:54,720
Speaker 2: are basically the way they wear in twenty twenty, so

2209
02:02:54,760 --> 02:02:57,280
Speaker 2: I can get all that sweet, sweet CNN money, you know,

2210
02:02:57,560 --> 02:03:00,480
Speaker 2: if I wind up being right. I am curious, Scaris

2211
02:03:00,520 --> 02:03:03,960
Speaker 2: and kind of in that line because as our as

2212
02:03:04,000 --> 02:03:06,880
Speaker 2: our official poll expert, you kind of came into this,

2213
02:03:07,440 --> 02:03:09,960
Speaker 2: I don't think with a strong set of biases about

2214
02:03:09,960 --> 02:03:12,720
Speaker 2: what would happen when you actually started drilling down into

2215
02:03:12,720 --> 02:03:15,080
Speaker 2: the numbers, did that change it all your impression of

2216
02:03:15,080 --> 02:03:16,480
Speaker 2: what was going on this election?

2217
02:03:17,200 --> 02:03:21,040
Speaker 7: I think I thought that the numbers for Biden would

2218
02:03:21,080 --> 02:03:24,480
Speaker 7: be slightly worse. I think that's kind of the general feeling,

2219
02:03:24,560 --> 02:03:26,000
Speaker 7: and that has been you know, what the numbers have

2220
02:03:26,040 --> 02:03:27,880
Speaker 7: kind of looked like in my cursory glances the past

2221
02:03:27,880 --> 02:03:31,600
Speaker 7: few months. But looking more into kind of polling science,

2222
02:03:31,680 --> 02:03:36,200
Speaker 7: what these pollsters are are saying the gap is usually

2223
02:03:36,240 --> 02:03:38,640
Speaker 7: within this three percent, that it feels like it's going

2224
02:03:38,680 --> 02:03:41,400
Speaker 7: to be a very close election. It'll be much closer

2225
02:03:41,400 --> 02:03:44,560
Speaker 7: than it was in twenty twenty. Poles thought that twenty

2226
02:03:44,560 --> 02:03:47,839
Speaker 7: twenty would be a much much more obvious win for Biden.

2227
02:03:47,960 --> 02:03:49,840
Speaker 7: It was, it was, it was a closer election than

2228
02:03:49,840 --> 02:03:52,360
Speaker 7: what people thought. But this I think will be even

2229
02:03:52,560 --> 02:03:55,280
Speaker 7: even closer. So it's it's gonna be it's gonna be

2230
02:03:55,280 --> 02:03:56,960
Speaker 7: a tricky one. We're going to be kind of on

2231
02:03:57,000 --> 02:03:58,160
Speaker 7: the edge of our seat come.

2232
02:03:58,240 --> 02:04:02,800
Speaker 2: From election night, which is what no one wants to hear, right, No,

2233
02:04:02,920 --> 02:04:04,920
Speaker 2: especially since you have this, You have a lot of

2234
02:04:04,920 --> 02:04:08,640
Speaker 2: people who want to hear Biden is doomed because they have,

2235
02:04:08,760 --> 02:04:11,640
Speaker 2: for generally good reasons, come to despise Biden over the

2236
02:04:11,680 --> 02:04:14,040
Speaker 2: last totally four years, and they just want to know

2237
02:04:14,120 --> 02:04:17,880
Speaker 2: that like the things they're angry about matter, And the

2238
02:04:17,960 --> 02:04:20,200
Speaker 2: thing that I all I can say to those people

2239
02:04:20,280 --> 02:04:23,240
Speaker 2: is like, I don't know that anything matters. And I

2240
02:04:23,320 --> 02:04:25,600
Speaker 2: do think there's a really good chance. I think this

2241
02:04:25,680 --> 02:04:26,880
Speaker 2: is basically a coin flip.

2242
02:04:27,840 --> 02:04:31,480
Speaker 7: Yeah, And I think you know, polling is is going

2243
02:04:31,520 --> 02:04:33,760
Speaker 7: to look very different this year because Trump is not

2244
02:04:33,840 --> 02:04:36,440
Speaker 7: the incumbent. I think there's a lot of other factors

2245
02:04:36,480 --> 02:04:39,760
Speaker 7: that are contributing to the polls, and pollsters have adjusted

2246
02:04:39,880 --> 02:04:43,040
Speaker 7: a lot since twenty sixteen, to make sure that more

2247
02:04:43,080 --> 02:04:46,680
Speaker 7: Trump support is accounted for both in twenty twenty and

2248
02:04:46,760 --> 02:04:50,960
Speaker 7: in twenty sixteen. The error did not come from overestimating

2249
02:04:51,040 --> 02:04:54,320
Speaker 7: the support of Clinton and Biden. It came from underestimating

2250
02:04:54,360 --> 02:04:58,400
Speaker 7: Trump's support. And this has been fixed fixed for via

2251
02:04:58,760 --> 02:05:02,240
Speaker 7: a number a number of methods. You know, there's certain

2252
02:05:02,440 --> 02:05:05,320
Speaker 7: theories people have had, like the quote unquote shy Trump

2253
02:05:05,400 --> 02:05:08,680
Speaker 7: voter theory, which is kind of largely disputed, of saying

2254
02:05:08,720 --> 02:05:09,160
Speaker 7: that you know.

2255
02:05:09,720 --> 02:05:12,839
Speaker 2: People certainly by this fucking point.

2256
02:05:12,360 --> 02:05:15,240
Speaker 7: Yes, no, saying that people who like support Trump are

2257
02:05:15,240 --> 02:05:18,360
Speaker 7: too scared to tell pollsters that they support Trump, quite

2258
02:05:18,560 --> 02:05:22,800
Speaker 7: quite silly. It's essentially it's essentially blaming, blaming, like pull

2259
02:05:22,960 --> 02:05:26,680
Speaker 7: errors on people just lying to polsters because they're too nervous. So,

2260
02:05:26,840 --> 02:05:29,200
Speaker 7: I don't know, there's a lot of other stuff we have.

2261
02:05:29,400 --> 02:05:33,760
Speaker 7: We have adjusted for white, non college educated voters, you know,

2262
02:05:33,840 --> 02:05:36,240
Speaker 7: because people who have a college degree are more likely

2263
02:05:36,320 --> 02:05:39,000
Speaker 7: to respond to polls. So all this does get adjusted for,

2264
02:05:39,160 --> 02:05:41,560
Speaker 7: especially since twenty sixteen, because that was the main cause

2265
02:05:41,880 --> 02:05:43,800
Speaker 7: of the polls kind of being fucked up that year.

2266
02:05:44,120 --> 02:05:47,440
Speaker 7: So what exactly happened in twenty twenty, Then if these

2267
02:05:47,440 --> 02:05:51,120
Speaker 7: things like the not in college vote and the shy

2268
02:05:51,240 --> 02:05:55,480
Speaker 7: Trump voter theory were sort of adjusted for well, a

2269
02:05:55,520 --> 02:05:58,800
Speaker 7: few things happened. The pandemic one, you know, made certain

2270
02:05:58,840 --> 02:06:02,600
Speaker 7: pulling things. Ure's a little bit unique. The election also

2271
02:06:02,640 --> 02:06:05,480
Speaker 7: featured the highest number of voter turnout in decades, something

2272
02:06:05,480 --> 02:06:08,360
Speaker 7: that we're probably not expected to see in twenty twenty four.

2273
02:06:08,960 --> 02:06:11,200
Speaker 7: In twenty twenty, the national polls were too favorable to

2274
02:06:11,240 --> 02:06:15,200
Speaker 7: Biden by three point nine points, state polls by four

2275
02:06:15,240 --> 02:06:18,320
Speaker 7: point three. I'm going to read a report from the

2276
02:06:18,320 --> 02:06:23,040
Speaker 7: American Association for Public Opinion Research analyzing twenty twenty election

2277
02:06:23,160 --> 02:06:23,920
Speaker 7: poll errors.

2278
02:06:24,000 --> 02:06:24,480
Speaker 2: Quote.

2279
02:06:24,840 --> 02:06:27,680
Speaker 7: If the voter's most supportive of Trump were least likely

2280
02:06:27,720 --> 02:06:30,400
Speaker 7: to participate in polls, then the polling error may be

2281
02:06:30,480 --> 02:06:34,640
Speaker 7: explained as follows. Self identified Republicans who choose to respond

2282
02:06:34,640 --> 02:06:37,840
Speaker 7: to polls are more likely to support Democrats, and those

2283
02:06:37,840 --> 02:06:40,760
Speaker 7: who choose not to respond to polls are more likely

2284
02:06:40,800 --> 02:06:44,720
Speaker 7: to support Republicans. Even if the correct percentage of self

2285
02:06:44,720 --> 02:06:48,760
Speaker 7: identified Republicans were polled, differences in the Republicans who did

2286
02:06:48,760 --> 02:06:54,240
Speaker 7: and did not respond could produce the observed polling error unquote.

2287
02:06:54,320 --> 02:06:56,360
Speaker 7: If this was indeed the issue, it was probably made

2288
02:06:56,360 --> 02:06:59,800
Speaker 7: worse by Trump in twenty twenty by being very disparaging

2289
02:06:59,840 --> 02:07:03,800
Speaker 7: to polls, making his base probably less likely to honestly

2290
02:07:03,880 --> 02:07:07,560
Speaker 7: engage with polling metrics, and both in twenty sixteen and

2291
02:07:07,600 --> 02:07:10,920
Speaker 7: twenty twenty there was large large post mortems among the

2292
02:07:10,960 --> 02:07:14,520
Speaker 7: polling community trying to figure out how to improve, and

2293
02:07:15,280 --> 02:07:19,440
Speaker 7: twenty twenty two's polls were more accurate than any election

2294
02:07:19,760 --> 02:07:24,080
Speaker 7: since nineteen ninety eight, with almost no bias towards either party.

2295
02:07:24,560 --> 02:07:27,800
Speaker 7: So that is a good side in terms of the

2296
02:07:27,840 --> 02:07:29,800
Speaker 7: accuracy of polls.

2297
02:07:29,840 --> 02:07:31,839
Speaker 2: This not being nonsense, Yeah.

2298
02:07:31,880 --> 02:07:36,680
Speaker 7: Correct, So a poster named Nathaniel Rackitch said, quote, polls

2299
02:07:36,680 --> 02:07:39,000
Speaker 7: true utility isn't telling us who will win, but rather

2300
02:07:39,120 --> 02:07:41,520
Speaker 7: in roughly how close a race is and therefore how

2301
02:07:41,560 --> 02:07:45,000
Speaker 7: confident we should be in the outcome. Historically, candidate's leading

2302
02:07:45,000 --> 02:07:46,800
Speaker 7: polls by at least twenty points have won in ninety

2303
02:07:46,840 --> 02:07:49,160
Speaker 7: nine percent of the time, but candidate's leading polls may

2304
02:07:49,240 --> 02:07:51,440
Speaker 7: less than three points have won just fifty five percent

2305
02:07:51,520 --> 02:07:54,640
Speaker 7: of the time. Unquote, And that kind of lines up

2306
02:07:54,640 --> 02:07:57,440
Speaker 7: with our current situation, right, Biden was even though the

2307
02:07:57,440 --> 02:08:00,200
Speaker 7: polls were slightly skewed towards Biden in twenty twenty, he

2308
02:08:00,240 --> 02:08:03,080
Speaker 7: was so far ahead that most of the polls in

2309
02:08:03,160 --> 02:08:05,240
Speaker 7: terms of saying who would win, we're still correct because

2310
02:08:05,240 --> 02:08:07,360
Speaker 7: Biden was just so far ahead this time. That will

2311
02:08:07,400 --> 02:08:09,080
Speaker 7: not be the case. That's not that's not what the

2312
02:08:09,080 --> 02:08:10,720
Speaker 7: polls are going to say. The polls are going to

2313
02:08:10,720 --> 02:08:13,440
Speaker 7: show this being a much closer race, and that I

2314
02:08:13,440 --> 02:08:15,680
Speaker 7: think that is what it's going to be come come November.

2315
02:08:15,720 --> 02:08:17,800
Speaker 7: So yeah, that's kind of that's kind of the low

2316
02:08:17,840 --> 02:08:22,320
Speaker 7: down of the current the current polling situation. I'll be

2317
02:08:22,360 --> 02:08:24,120
Speaker 7: curious to see, you know, what the numbers are post

2318
02:08:24,120 --> 02:08:27,120
Speaker 7: debate and especially after the sentencing in July.

2319
02:08:27,800 --> 02:08:30,800
Speaker 2: Yeah, we'll see. And I should note that Nate Silver

2320
02:08:31,160 --> 02:08:35,640
Speaker 2: just released his official forecast today and it's it's almost

2321
02:08:35,720 --> 02:08:38,760
Speaker 2: the opposite of that. We're German Man, who gave Biden

2322
02:08:38,760 --> 02:08:41,840
Speaker 2: a seventy five percent chance of winning, Nate gives Trump

2323
02:08:41,920 --> 02:08:44,640
Speaker 2: a sixty five percent chance of winning. So we are

2324
02:08:44,640 --> 02:08:47,840
Speaker 2: going to see which of the election pundits who make

2325
02:08:47,880 --> 02:08:51,680
Speaker 2: their entire living off of gambling on elections winds up

2326
02:08:51,720 --> 02:08:54,160
Speaker 2: getting to be fetted on all of the talk shows

2327
02:08:54,320 --> 02:08:57,200
Speaker 2: in like January of twenty twenty five. That'll be That's

2328
02:08:57,240 --> 02:09:00,560
Speaker 2: why I'll toss up honestly, thereal'll toss up a helmet

2329
02:09:00,640 --> 02:09:03,680
Speaker 2: versus Nate Baby, who's gonna win? I kind of think

2330
02:09:03,680 --> 02:09:23,840
Speaker 2: they both might be common. Oh yeah, that wasn't the

2331
02:09:23,880 --> 02:09:26,960
Speaker 2: opening of the podcast, or unless it was. I guess

2332
02:09:26,960 --> 02:09:29,360
Speaker 2: it was because we were recording Welcome to It could

2333
02:09:29,400 --> 02:09:34,120
Speaker 2: happen here, Harrison. I had to open an episode about

2334
02:09:34,120 --> 02:09:37,560
Speaker 2: a terrible, terrible piece of voice acting history with some

2335
02:09:37,680 --> 02:09:39,640
Speaker 2: horrible voice acting of my own. It was the only

2336
02:09:39,720 --> 02:09:40,120
Speaker 2: right way.

2337
02:09:40,320 --> 02:09:42,360
Speaker 7: It's true, it's true, but there has been some really

2338
02:09:42,440 --> 02:09:47,320
Speaker 7: bad voice acting going around lately. Yes, oh boy, So

2339
02:09:48,080 --> 02:09:49,760
Speaker 7: do you know what we're gonna talk about today, Robert.

2340
02:09:50,160 --> 02:09:53,280
Speaker 7: We're gonna talk about the South Park of X.

2341
02:09:54,360 --> 02:09:56,400
Speaker 2: And I know what you're all wondering, what the fuck

2342
02:09:56,480 --> 02:09:59,720
Speaker 2: is X? Did you guys? Is that a placeholder? Did

2343
02:09:59,720 --> 02:10:02,400
Speaker 2: you like type in a placeholder because you forgot the

2344
02:10:02,520 --> 02:10:06,800
Speaker 2: name of what this is? The South Park of or whatever? No, no, no,

2345
02:10:07,000 --> 02:10:08,200
Speaker 2: we're talking about Twitter.

2346
02:10:09,360 --> 02:10:14,120
Speaker 7: We are talking about the first animated sit slash calm

2347
02:10:14,640 --> 02:10:19,120
Speaker 7: on X Slash Twitter, titled The New Norm Show. Not

2348
02:10:19,240 --> 02:10:21,720
Speaker 7: to be confused with the twenty twenty two low budget

2349
02:10:21,720 --> 02:10:25,120
Speaker 7: movie The New Norm. This is a new animated project

2350
02:10:25,200 --> 02:10:31,320
Speaker 7: from the Great Minds over at Dave Rubin Incorporated. Yeah,

2351
02:10:31,640 --> 02:10:36,160
Speaker 7: was so bad but also so insightful that I did

2352
02:10:36,160 --> 02:10:38,680
Speaker 7: a whole bunch of drugs and wrote about two thousand

2353
02:10:38,720 --> 02:10:44,320
Speaker 7: words about this project and uncovered some kind of shocking

2354
02:10:44,360 --> 02:10:47,840
Speaker 7: things that we will slowly get into. I first just

2355
02:10:47,880 --> 02:10:50,920
Speaker 7: want to go over the mini pilot itself, because right

2356
02:10:50,960 --> 02:10:52,760
Speaker 7: now the only thing that's out is like this three

2357
02:10:52,840 --> 02:10:56,200
Speaker 7: minute or so little mini pilot, And we'll get into

2358
02:10:56,240 --> 02:10:58,000
Speaker 7: why this is the only thing that's out right now,

2359
02:10:58,360 --> 02:11:00,600
Speaker 7: but I'm first just want to do kind of like

2360
02:11:00,800 --> 02:11:02,520
Speaker 7: a short play by play, and it will be short

2361
02:11:02,520 --> 02:11:05,320
Speaker 7: because it again, it's only three minutes. Yeah, of what

2362
02:11:05,920 --> 02:11:10,640
Speaker 7: happens in this new perspective animated sitcom that they want

2363
02:11:10,680 --> 02:11:14,720
Speaker 7: to air on Twitter dot com now known as x Yes. So,

2364
02:11:15,240 --> 02:11:16,920
Speaker 7: I think the first thing you need to know about it,

2365
02:11:16,960 --> 02:11:19,240
Speaker 7: you know, besides you know, the Dave rubenness of it all,

2366
02:11:19,520 --> 02:11:22,160
Speaker 7: it looks like early two thousands flash animation, like really

2367
02:11:22,200 --> 02:11:26,920
Speaker 7: bad early two thousands flash animation. It's not good.

2368
02:11:27,720 --> 02:11:30,320
Speaker 2: It's not good. None of the characters can like really

2369
02:11:30,400 --> 02:11:35,440
Speaker 2: express things, and the perspective is always a little bit off. Yeah,

2370
02:11:35,680 --> 02:11:39,160
Speaker 2: it looks like something like a moderately competent person could

2371
02:11:39,160 --> 02:11:42,200
Speaker 2: have animated in this course of an afternoon if the

2372
02:11:42,240 --> 02:11:45,440
Speaker 2: people paying them did not actually want anything that looked

2373
02:11:45,560 --> 02:11:46,000
Speaker 2: very good.

2374
02:11:46,160 --> 02:11:48,160
Speaker 7: Well, and I think that is kind of what happened.

2375
02:11:48,360 --> 02:11:50,840
Speaker 7: They posted one video showing the animating process, and it

2376
02:11:50,840 --> 02:11:52,400
Speaker 7: does look like this one person did it in like

2377
02:11:52,440 --> 02:11:56,040
Speaker 7: a day. So anyway, it starts with an older man

2378
02:11:56,120 --> 02:11:59,080
Speaker 7: sitting in a living room chair scratching at an ankle monitor.

2379
02:11:59,520 --> 02:12:01,480
Speaker 7: He reaches for a beer, only to find that it's

2380
02:12:01,520 --> 02:12:05,240
Speaker 7: been wokefied with rainbow packaging. The man reacts in horror,

2381
02:12:05,520 --> 02:12:09,680
Speaker 7: and his more liberal daughter remarks progress, it's the new norm,

2382
02:12:10,160 --> 02:12:13,280
Speaker 7: and then a pandering a country music theme song plays,

2383
02:12:13,280 --> 02:12:15,280
Speaker 7: which we will we will play for you later just

2384
02:12:15,280 --> 02:12:16,120
Speaker 7: because it's so bad.

2385
02:12:16,560 --> 02:12:19,560
Speaker 2: We're going to have to. I want to start just

2386
02:12:19,920 --> 02:12:23,400
Speaker 2: because this is the first shot of the episode and

2387
02:12:23,440 --> 02:12:25,280
Speaker 2: it was the first thing in the episode that made

2388
02:12:25,320 --> 02:12:28,640
Speaker 2: me very angry. And it's how small his feet are, like,

2389
02:12:29,600 --> 02:12:31,040
Speaker 2: especially if you're going to have.

2390
02:12:31,760 --> 02:12:33,320
Speaker 7: The fact rob Lyfield feet.

2391
02:12:33,840 --> 02:12:37,200
Speaker 2: He's got the rob Lyfield feet. And it's this is

2392
02:12:37,320 --> 02:12:40,280
Speaker 2: particularly a problem because the ankle monitor doesn't look like

2393
02:12:40,360 --> 02:12:42,240
Speaker 2: it's going to be a one off joke, because he

2394
02:12:42,280 --> 02:12:45,200
Speaker 2: doesn't just have an ankle monitor he has like an

2395
02:12:45,280 --> 02:12:47,960
Speaker 2: evil Amazon alexa that looks a little bit like it's

2396
02:12:47,960 --> 02:12:51,080
Speaker 2: been it's gotten some howl nine thousand DNA in it. Yes,

2397
02:12:51,080 --> 02:12:53,840
Speaker 2: that every time he says something that's not woke enough,

2398
02:12:54,080 --> 02:12:56,200
Speaker 2: it it yells at him, right.

2399
02:12:56,080 --> 02:12:57,840
Speaker 7: It is offensive? Offensive?

2400
02:12:58,120 --> 02:13:03,560
Speaker 2: Yeah, yeah, the fantasy progressive government that is in charge

2401
02:13:03,680 --> 02:13:07,200
Speaker 2: in his in this cartoon world has forced him to

2402
02:13:07,240 --> 02:13:10,000
Speaker 2: wear an ankle monitor because he's not woke enough. And

2403
02:13:10,040 --> 02:13:11,920
Speaker 2: so I'm guessing that's going to be a recurrent bit.

2404
02:13:12,000 --> 02:13:15,400
Speaker 2: And if has this sension ankle monitor is a recurrent bit,

2405
02:13:15,840 --> 02:13:18,680
Speaker 2: his feet shouldn't look like the ankle monitor should always

2406
02:13:18,720 --> 02:13:21,320
Speaker 2: be falling off of them. No, it's so loose. It's

2407
02:13:21,360 --> 02:13:25,880
Speaker 2: so really bad animation, right, Like, I'm not even saying

2408
02:13:25,920 --> 02:13:28,320
Speaker 2: that's a good bit, But if that's your bit, you

2409
02:13:28,440 --> 02:13:31,520
Speaker 2: have to actually design the characters to sell the bit,

2410
02:13:31,600 --> 02:13:33,920
Speaker 2: as opposed to me constantly thinking how is that fucking

2411
02:13:33,920 --> 02:13:36,960
Speaker 2: ankle monitor staying on his goddamn ankle anyway, whatever.

2412
02:13:36,680 --> 02:13:38,520
Speaker 7: The character was not designed with the ankle monitor in mind.

2413
02:13:38,560 --> 02:13:41,760
Speaker 7: That was a later edition, so definitely. After the theme song,

2414
02:13:42,200 --> 02:13:45,320
Speaker 7: the man addresses the audience, he says, I'm the old

2415
02:13:45,400 --> 02:13:47,240
Speaker 7: norm I want normal beer.

2416
02:13:48,440 --> 02:13:49,120
Speaker 2: God damn it.

2417
02:13:50,040 --> 02:13:52,080
Speaker 7: And I just want to point out this is like

2418
02:13:52,120 --> 02:13:55,960
Speaker 7: the only character that gets an introduction. We don't really

2419
02:13:56,000 --> 02:13:58,680
Speaker 7: learned almost anyone else's names, except for one other character,

2420
02:13:59,680 --> 02:14:02,320
Speaker 7: which he's just great, great for like a pilot. Anyway,

2421
02:14:02,440 --> 02:14:04,920
Speaker 7: So he steps towards his front door and the ankle

2422
02:14:04,960 --> 02:14:08,400
Speaker 7: monitor starts beeping. He blames his liberal daughter for being

2423
02:14:08,440 --> 02:14:11,680
Speaker 7: put on house arrest for quote unquote threatening the school board,

2424
02:14:12,040 --> 02:14:14,000
Speaker 7: which he says he did because the school was quote

2425
02:14:14,080 --> 02:14:17,400
Speaker 7: brainwashing kids into thinking girls aren't girls and men aren't men.

2426
02:14:18,400 --> 02:14:22,040
Speaker 7: His daughter says, sometimes they're neither or both, or dressed

2427
02:14:22,080 --> 02:14:25,600
Speaker 7: like dogs. Anyway, his wife comes home.

2428
02:14:25,880 --> 02:14:30,200
Speaker 2: Oh god, yeah, there's a real furry obsession in this

2429
02:14:30,320 --> 02:14:33,600
Speaker 2: EPI this show. I guess we'll talk about that later too, because.

2430
02:14:33,320 --> 02:14:35,280
Speaker 7: This was birth years ago. This is not like a

2431
02:14:35,320 --> 02:14:39,760
Speaker 7: modern current take on WOKESM. But his wife comes home

2432
02:14:40,040 --> 02:14:43,240
Speaker 7: and with her is someone wearing a COVID mask sporting

2433
02:14:43,280 --> 02:14:45,760
Speaker 7: a pink mohawk. And here I'm going to play our

2434
02:14:45,760 --> 02:14:46,320
Speaker 7: first clip.

2435
02:14:48,200 --> 02:14:49,680
Speaker 12: What's that worrying?

2436
02:14:50,920 --> 02:14:55,120
Speaker 14: Actually that is one of my pronouns. Also, they them

2437
02:14:55,200 --> 02:14:56,040
Speaker 14: and me?

2438
02:14:56,880 --> 02:14:58,760
Speaker 15: Your non binary?

2439
02:14:59,440 --> 02:15:00,680
Speaker 12: How do you know that word?

2440
02:15:00,880 --> 02:15:01,920
Speaker 5: I learned it in school.

2441
02:15:02,240 --> 02:15:03,680
Speaker 12: That's why I'm locked up.

2442
02:15:04,280 --> 02:15:04,560
Speaker 1: Norm.

2443
02:15:04,680 --> 02:15:07,040
Speaker 15: The judge agreed to conditional parole.

2444
02:15:07,360 --> 02:15:08,560
Speaker 12: What condition?

2445
02:15:10,360 --> 02:15:12,720
Speaker 4: Where is my room?

2446
02:15:12,760 --> 02:15:14,160
Speaker 12: That's saying here?

2447
02:15:15,000 --> 02:15:17,760
Speaker 15: Chaz is part of a new government program.

2448
02:15:17,360 --> 02:15:23,000
Speaker 14: To re educate homophobic, transphobic, racist Charlie.

2449
02:15:23,040 --> 02:15:24,600
Speaker 12: Finally someone normal.

2450
02:15:25,960 --> 02:15:29,120
Speaker 10: I don't understand your word?

2451
02:15:29,920 --> 02:15:30,480
Speaker 12: Did that?

2452
02:15:31,040 --> 02:15:32,040
Speaker 2: Just black whisper?

2453
02:15:32,360 --> 02:15:34,640
Speaker 12: You're his friend and boss.

2454
02:15:35,120 --> 02:15:38,360
Speaker 7: So something that isn't fully conveyed just through the sound

2455
02:15:38,640 --> 02:15:40,560
Speaker 7: is that when the daughter finds out that this new

2456
02:15:40,560 --> 02:15:43,040
Speaker 7: person is non binary, she gets like big, big, like

2457
02:15:43,160 --> 02:15:43,800
Speaker 7: lovey eyes.

2458
02:15:44,680 --> 02:15:44,960
Speaker 2: Yeah.

2459
02:15:44,960 --> 02:15:49,080
Speaker 7: And the black boss character, he is played by failed

2460
02:15:49,200 --> 02:15:52,000
Speaker 7: politician Larry Elder, and he's my.

2461
02:15:52,000 --> 02:15:58,879
Speaker 2: God, that's Larry Elder. Yes, Oh that's funny. That's so funny.

2462
02:15:59,200 --> 02:16:04,760
Speaker 2: He's just there to show that black people like Norm, right, yes, exactly,

2463
02:16:04,840 --> 02:16:08,400
Speaker 2: that the progressives actually are racist for not liking Norm

2464
02:16:08,440 --> 02:16:10,520
Speaker 2: because the only black person they're going to put in

2465
02:16:10,560 --> 02:16:12,960
Speaker 2: this show thinks that he's rad. It's just a normal

2466
02:16:13,000 --> 02:16:15,280
Speaker 2: thing that you do if you're a right wing hack

2467
02:16:15,360 --> 02:16:19,240
Speaker 2: making a low budget cartoon. He is wearing, by the way,

2468
02:16:19,320 --> 02:16:22,360
Speaker 2: a Washington Redskins hat and shirt, and his.

2469
02:16:22,400 --> 02:16:25,480
Speaker 7: Shirt discontinued four years ago.

2470
02:16:25,680 --> 02:16:28,800
Speaker 2: Yeah, and his first his opening line in the show

2471
02:16:28,880 --> 02:16:31,160
Speaker 2: is him coming in and saying, I come over here

2472
02:16:31,200 --> 02:16:32,280
Speaker 2: to escape woke.

2473
02:16:32,720 --> 02:16:33,000
Speaker 7: Yes.

2474
02:16:33,480 --> 02:16:36,040
Speaker 2: Yeah. One thing I do think is interesting is that

2475
02:16:36,120 --> 02:16:39,959
Speaker 2: both this character, because Larry Elder makes a note that

2476
02:16:40,040 --> 02:16:42,879
Speaker 2: like his son is about to transition and is at

2477
02:16:43,000 --> 02:16:45,240
Speaker 2: least non binary, they don't really know what any of

2478
02:16:45,240 --> 02:16:47,160
Speaker 2: this means. So a little bit of the script is

2479
02:16:47,240 --> 02:16:50,160
Speaker 2: unclear as to what these kids actually how they identify.

2480
02:16:50,840 --> 02:16:53,760
Speaker 2: And obviously Norm's daughter is I don't know if she's

2481
02:16:53,800 --> 02:16:57,879
Speaker 2: non binary or just like into a like generally queer,

2482
02:16:57,920 --> 02:17:01,320
Speaker 2: but like that is the impression you're left with. And again,

2483
02:17:01,640 --> 02:17:05,039
Speaker 2: if you actually were someone who was kind of conservative,

2484
02:17:05,160 --> 02:17:09,000
Speaker 2: conservative sympathetic, like Mike Judge making like a cartoon, you

2485
02:17:09,040 --> 02:17:11,720
Speaker 2: can actually get some mileage out of the accepting the

2486
02:17:11,760 --> 02:17:14,760
Speaker 2: idea that like, Okay, you've got these curmudgeonly older people

2487
02:17:15,000 --> 02:17:18,240
Speaker 2: and you've got their kids who are like way more

2488
02:17:18,320 --> 02:17:21,040
Speaker 2: open about this kind of stuff, and there's there's there's

2489
02:17:21,120 --> 02:17:23,880
Speaker 2: room for plots as King of the Hill did pretty

2490
02:17:23,879 --> 02:17:28,600
Speaker 2: well that kind of lampoon the culture in general, but

2491
02:17:29,120 --> 02:17:32,320
Speaker 2: it requires a little more self awareness. Like again, if

2492
02:17:32,360 --> 02:17:34,760
Speaker 2: there was a little bit you might wonder, like, what

2493
02:17:34,800 --> 02:17:37,640
Speaker 2: are we saying if we're the people making this right

2494
02:17:37,640 --> 02:17:40,720
Speaker 2: wing piece of propaganda that all of the young people

2495
02:17:41,000 --> 02:17:43,720
Speaker 2: feel very differently about gender than their parents.

2496
02:17:44,040 --> 02:17:48,360
Speaker 7: Well, yeah, that's why Norm keeps saying, I'm the old Norm.

2497
02:17:48,520 --> 02:17:50,960
Speaker 7: I want to bear. And the show was called The

2498
02:17:51,080 --> 02:17:53,600
Speaker 7: New Norm, not to be confused with the nineteen ninety

2499
02:17:53,640 --> 02:17:57,320
Speaker 7: nine ABC sympcom storing Norm MacDonald called it the Norm Shows.

2500
02:17:57,360 --> 02:17:59,360
Speaker 7: It's literally right, it's literally in the name. It's about

2501
02:17:59,360 --> 02:18:03,000
Speaker 7: you know how these people cannot cannot accept that times

2502
02:18:03,280 --> 02:18:07,960
Speaker 7: change and they slowly get outdated social beliefs. Anyway, every

2503
02:18:08,000 --> 02:18:11,080
Speaker 7: single time that Norm addresses the non binary character, referring

2504
02:18:11,080 --> 02:18:15,840
Speaker 7: to them as pronoun or that his little AI Amazon

2505
02:18:15,879 --> 02:18:19,959
Speaker 7: assistant just bleeps out offensive. Offensive.

2506
02:18:20,400 --> 02:18:23,680
Speaker 15: Jazz is here to re educate Norm.

2507
02:18:23,600 --> 02:18:25,320
Speaker 12: In non bonary studies.

2508
02:18:27,320 --> 02:18:28,840
Speaker 4: I'm allergic to dogs.

2509
02:18:29,560 --> 02:18:30,080
Speaker 2: It's okay.

2510
02:18:30,280 --> 02:18:34,040
Speaker 15: Billy is an emotional support dog and non binary.

2511
02:18:34,520 --> 02:18:36,680
Speaker 4: Oh okay, then good dog.

2512
02:18:37,440 --> 02:18:40,960
Speaker 7: Just amazing voice acting in that cliff and with a

2513
02:18:41,120 --> 02:18:43,520
Speaker 7: helpful laugh track, so you know what is a joke

2514
02:18:43,560 --> 02:18:46,599
Speaker 7: and when you're supposed to laugh, which is so embarrassing

2515
02:18:46,640 --> 02:18:49,320
Speaker 7: for an animated sycom to put on a laugh track,

2516
02:18:49,680 --> 02:18:52,720
Speaker 7: like oh my god, oh my god.

2517
02:18:53,040 --> 02:18:58,160
Speaker 2: It smacks of desperation because nobody really liked nobody misses

2518
02:18:58,240 --> 02:18:58,920
Speaker 2: laugh tracks.

2519
02:18:59,680 --> 02:19:02,520
Speaker 7: Laugh tracks are like if you have a live studio audience,

2520
02:19:02,680 --> 02:19:04,800
Speaker 7: you know, a laugh track kind of like makes sense.

2521
02:19:05,280 --> 02:19:07,520
Speaker 7: This is this is an animated sitcom. It's like if

2522
02:19:07,520 --> 02:19:09,360
Speaker 7: there's a laugh track on like Rick and Morty or

2523
02:19:09,400 --> 02:19:11,440
Speaker 7: like the Simpsons, like what the fuck are you doing?

2524
02:19:12,040 --> 02:19:12,640
Speaker 2: Yeah?

2525
02:19:12,680 --> 02:19:15,119
Speaker 7: Anyway, The two men sit down to watch sports, and

2526
02:19:15,240 --> 02:19:18,800
Speaker 7: Larry Elder laments that a non binary person is present

2527
02:19:18,879 --> 02:19:21,800
Speaker 7: in the room and starts complaining about his child.

2528
02:19:22,200 --> 02:19:25,959
Speaker 16: I come here to get away from woke trouble at home.

2529
02:19:26,640 --> 02:19:30,640
Speaker 16: Ah my boy or whatever it calls themselves now is

2530
02:19:30,680 --> 02:19:36,840
Speaker 16: thinking about transitioning that try Regina transitioning to what.

2531
02:19:37,160 --> 02:19:41,640
Speaker 7: Another humble whatever it calls them theself now amazing pronoun

2532
02:19:41,720 --> 02:19:45,920
Speaker 7: usage another fumble now. Norm tosses the gay beer to Chaz,

2533
02:19:46,080 --> 02:19:47,640
Speaker 7: the non binary character.

2534
02:19:47,360 --> 02:19:49,600
Speaker 2: Of Jazz, Uh Chaz.

2535
02:19:50,080 --> 02:19:52,959
Speaker 7: Chaz fumbles the catch and says, and that's not.

2536
02:19:53,040 --> 02:19:56,240
Speaker 2: Even that's not a gay zoomer name. Chazz is like

2537
02:19:57,080 --> 02:20:03,039
Speaker 2: something like, that's that's gen x Chazz totally yeah, well.

2538
02:20:02,879 --> 02:20:05,800
Speaker 7: Again because this is all made by gen x people.

2539
02:20:06,240 --> 02:20:07,640
Speaker 2: Yeah, exactly, Yes.

2540
02:20:07,959 --> 02:20:10,160
Speaker 7: Chaz fumbles the catch and says that they can't drink

2541
02:20:10,200 --> 02:20:13,280
Speaker 7: because they're not twenty one, and Larry Elder replies, y'all

2542
02:20:13,320 --> 02:20:15,440
Speaker 7: influence my boy and to cut off his junk, but

2543
02:20:15,560 --> 02:20:18,680
Speaker 7: draw the line at beer, and then Chaz hides behind

2544
02:20:18,720 --> 02:20:22,920
Speaker 7: the couch to call upper level government operatives who are

2545
02:20:22,920 --> 02:20:25,840
Speaker 7: advising them on this re education assignment.

2546
02:20:27,360 --> 02:20:27,760
Speaker 12: I got it.

2547
02:20:28,000 --> 02:20:29,760
Speaker 2: Before we get into this, I want to start with

2548
02:20:29,800 --> 02:20:32,520
Speaker 2: what doesn't make sense about that bit, which is that

2549
02:20:32,879 --> 02:20:35,640
Speaker 2: if Chaz was straight edge, right, and they were kind

2550
02:20:35,640 --> 02:20:38,320
Speaker 2: of chickin, if they actually knew anything about like the

2551
02:20:38,400 --> 02:20:41,000
Speaker 2: real sort of culturals kind of divides that are coming

2552
02:20:41,040 --> 02:20:43,680
Speaker 2: in around gen Z and gen Alfa, they could have

2553
02:20:43,680 --> 02:20:45,680
Speaker 2: made a point that like, yeah, this generation of kids

2554
02:20:46,080 --> 02:20:49,120
Speaker 2: doesn't get drunk and do drugs the way like millennials did,

2555
02:20:49,160 --> 02:20:52,760
Speaker 2: and that's an actual like cultural cleavage point. But Chaz

2556
02:20:52,840 --> 02:20:55,879
Speaker 2: is not straight edge. Chas is just saying I cannot

2557
02:20:56,000 --> 02:20:57,519
Speaker 2: legally drink beer.

2558
02:20:57,680 --> 02:20:59,920
Speaker 7: Which right, no gay person has ever.

2559
02:20:59,800 --> 02:21:01,119
Speaker 2: Seen, which no game.

2560
02:21:01,440 --> 02:21:04,600
Speaker 7: But it like the fact that unless unless they're straight edge, Yeah.

2561
02:21:04,400 --> 02:21:06,440
Speaker 2: Larry Elder then comes in and says like, oh, this

2562
02:21:06,560 --> 02:21:09,640
Speaker 2: is a characteristic but it wasn't like a characteristic of

2563
02:21:09,640 --> 02:21:12,320
Speaker 2: you queer gen z kids. But the queer gen Z

2564
02:21:12,480 --> 02:21:15,000
Speaker 2: kid did not express that as like a characteristic of

2565
02:21:15,040 --> 02:21:18,480
Speaker 2: his identity. He was just stating this is illegal.

2566
02:21:18,600 --> 02:21:20,600
Speaker 7: Because it's illegal. Yeah, very yeah.

2567
02:21:20,640 --> 02:21:22,480
Speaker 2: Anyway, anyway, when.

2568
02:21:22,480 --> 02:21:25,520
Speaker 7: Chaz is conference calling with this this upper level government

2569
02:21:25,600 --> 02:21:28,080
Speaker 7: we have, we have this general in like a in

2570
02:21:28,120 --> 02:21:30,800
Speaker 7: like a kink dog mask who barks, and there's a

2571
02:21:30,840 --> 02:21:34,160
Speaker 7: trans woman admiral who says, find a way to break him,

2572
02:21:34,400 --> 02:21:39,080
Speaker 7: maybe we can fix the country. I believe the admiral

2573
02:21:39,200 --> 02:21:43,080
Speaker 7: is a really transphobic character of US Assistant Secretary for

2574
02:21:43,160 --> 02:21:47,039
Speaker 7: Health Rachel Levine. And yeah, it's not even a good character.

2575
02:21:47,080 --> 02:21:48,960
Speaker 2: It's just it's just it doesn't look like at all

2576
02:21:49,280 --> 02:21:49,560
Speaker 2: there is.

2577
02:21:49,600 --> 02:21:54,120
Speaker 7: There's also another another character which Robert identified as a

2578
02:21:54,200 --> 02:21:58,240
Speaker 7: possible hate crime and and tasked me with locating who

2579
02:21:58,280 --> 02:22:01,160
Speaker 7: this person is. And I leave with about one hundred

2580
02:22:01,200 --> 02:22:05,400
Speaker 7: percent certainty that this is a character of Sam Brinton,

2581
02:22:06,080 --> 02:22:08,720
Speaker 7: who was appointed the Deputy Assistant Secretary of Spent Fuel

2582
02:22:08,760 --> 02:22:10,760
Speaker 7: and Waste Disposition in the.

2583
02:22:10,720 --> 02:22:12,840
Speaker 2: Office Nuclear Energy. Are you kidding me?

2584
02:22:13,000 --> 02:22:14,000
Speaker 7: Apartment of Energy?

2585
02:22:14,200 --> 02:22:14,440
Speaker 12: Now?

2586
02:22:14,640 --> 02:22:19,280
Speaker 2: Ah, these people are so fucking conservative social media brain,

2587
02:22:19,400 --> 02:22:21,200
Speaker 2: what are you fucking come on?

2588
02:22:21,760 --> 02:22:24,959
Speaker 7: Brinton may be well known to some of our listeners

2589
02:22:25,280 --> 02:22:28,320
Speaker 7: as being let go in late twenty twenty two after

2590
02:22:28,440 --> 02:22:31,960
Speaker 7: being linked to a series of airport luggage thefts. One

2591
02:22:31,959 --> 02:22:35,800
Speaker 7: of the funniest things that's ever happened. This person could

2592
02:22:35,840 --> 02:22:39,640
Speaker 7: not stop stealing luggage from airports so much that they

2593
02:22:39,640 --> 02:22:41,520
Speaker 7: got fired from the Department of Energy.

2594
02:22:42,200 --> 02:22:42,959
Speaker 2: That's amazing.

2595
02:22:43,280 --> 02:22:46,560
Speaker 7: This this goes back to like twenty eighteen years. God,

2596
02:22:46,600 --> 02:22:50,960
Speaker 7: there's funny years of airport It's so funny. But again,

2597
02:22:51,200 --> 02:22:53,320
Speaker 7: if this was a good comedy thing, they would have

2598
02:22:53,360 --> 02:22:55,520
Speaker 7: some kind of bit like maybe maybe they would be

2599
02:22:55,520 --> 02:22:57,120
Speaker 7: holding like a like a like a you know, like

2600
02:22:57,440 --> 02:22:59,680
Speaker 7: a collection of luggage. But no, they're just they're they're

2601
02:22:59,680 --> 02:23:02,120
Speaker 7: just they're just standing behind the Progress Pride flight Like

2602
02:23:02,160 --> 02:23:03,200
Speaker 7: that's it. Like it's not funny.

2603
02:23:03,320 --> 02:23:06,160
Speaker 2: Yeah, because again, because the actual funny thing about this

2604
02:23:06,200 --> 02:23:09,160
Speaker 2: would be to have like your government character be someone

2605
02:23:09,200 --> 02:23:11,440
Speaker 2: at the Department of Energy who got taxed with this

2606
02:23:11,560 --> 02:23:14,840
Speaker 2: through some sort of incoherent DEI narrative and also a

2607
02:23:14,959 --> 02:23:17,680
Speaker 2: character trait as they are always stealing luggage, and like

2608
02:23:17,920 --> 02:23:21,120
Speaker 2: you could actually be bits around that over time. But

2609
02:23:21,200 --> 02:23:23,760
Speaker 2: they just they threw all these people in knowing that

2610
02:23:23,920 --> 02:23:27,000
Speaker 2: like the two hundred people who are as right wing

2611
02:23:27,040 --> 02:23:29,200
Speaker 2: online as them would get who all these were as

2612
02:23:29,200 --> 02:23:30,720
Speaker 2: opposed to doing the thing that you would do if

2613
02:23:30,720 --> 02:23:33,120
Speaker 2: you were actually making a show for mainstream consumption, which

2614
02:23:33,160 --> 02:23:37,519
Speaker 2: is like make fun of people that the audience will recognize.

2615
02:23:38,280 --> 02:23:42,320
Speaker 2: Throw with Joe Biden in there right, like obviously you're

2616
02:23:42,360 --> 02:23:45,959
Speaker 2: doing this in twenty twenty four, Like where is anyone

2617
02:23:46,000 --> 02:23:48,920
Speaker 2: that someone who's not completely lost their mind to this

2618
02:23:48,959 --> 02:23:50,160
Speaker 2: stuff will recognize?

2619
02:23:50,560 --> 02:23:53,040
Speaker 7: And this is this is the climax of the pilot.

2620
02:23:53,120 --> 02:23:58,120
Speaker 7: It's it's so, it's so bad. After Chaz has this

2621
02:23:58,160 --> 02:24:02,400
Speaker 7: little phone call, the fake camera zooms back to show

2622
02:24:02,520 --> 02:24:06,840
Speaker 7: a fake animated studio audience, and the bad country theme

2623
02:24:06,959 --> 02:24:09,840
Speaker 7: song plays once again, and and now now I will

2624
02:24:09,840 --> 02:24:12,760
Speaker 7: play it for you, because this section is both so

2625
02:24:12,920 --> 02:24:15,560
Speaker 7: pandering but also oddly genuine.

2626
02:24:15,600 --> 02:24:24,720
Speaker 8: Towards the end, newly same as you know, everythanks changing

2627
02:24:25,120 --> 02:24:31,400
Speaker 8: and I don't know this will not Marri And thank

2628
02:24:31,560 --> 02:24:33,920
Speaker 8: God for relungbows and.

2629
02:24:34,120 --> 02:24:39,080
Speaker 10: The ship those maids, it says the fall free speech.

2630
02:24:40,360 --> 02:24:44,080
Speaker 7: When the song goes, thank god for Elon Musk and

2631
02:24:44,160 --> 02:24:47,600
Speaker 7: his ship, post memes he is the home for free speech,

2632
02:24:48,480 --> 02:24:52,720
Speaker 7: and unvoiced animated Elon Musk pops through the door for

2633
02:24:52,760 --> 02:24:53,920
Speaker 7: no reason.

2634
02:24:54,800 --> 02:24:58,520
Speaker 2: And he's someone. Someone on Twitter took a screen grab

2635
02:24:58,560 --> 02:25:00,400
Speaker 2: off the Elon Musk and said they gave him that

2636
02:25:00,480 --> 02:25:03,640
Speaker 2: in Smith look and he does look like one of

2637
02:25:03,680 --> 02:25:07,120
Speaker 2: the fish people from Insmuth. That's not a flattering caricature.

2638
02:25:07,600 --> 02:25:08,640
Speaker 2: I think it's meant to be.

2639
02:25:09,040 --> 02:25:12,200
Speaker 7: It is because like it's it's I don't know. This

2640
02:25:12,280 --> 02:25:14,320
Speaker 7: is a really interesting moment because this is where it

2641
02:25:14,320 --> 02:25:19,280
Speaker 7: gets like kind of like genuine. Jess Hawkin wrote, the

2642
02:25:19,320 --> 02:25:21,800
Speaker 7: part that blows my mind about this video is the

2643
02:25:21,840 --> 02:25:24,959
Speaker 7: Elon Musk cameo where the bitterness and resentment of the

2644
02:25:25,040 --> 02:25:29,360
Speaker 7: video melts away into still believing in Santa Claus and

2645
02:25:29,440 --> 02:25:31,879
Speaker 7: it gets it gets just so weirdly genuine with this,

2646
02:25:31,920 --> 02:25:35,280
Speaker 7: with this like the kind of heartfelt, saccharine Elon Musk

2647
02:25:35,400 --> 02:25:36,440
Speaker 7: ending Well.

2648
02:25:36,280 --> 02:25:40,039
Speaker 2: Speaking of genuine, Garrison, the main thing that's genuine is

2649
02:25:40,040 --> 02:25:42,000
Speaker 2: our love of these sponsors.

2650
02:25:53,280 --> 02:25:57,640
Speaker 7: Okay, we are packed so there. After watching this pilot,

2651
02:25:57,840 --> 02:26:00,280
Speaker 7: there's there's a lot of questions to be asked. Why

2652
02:26:00,360 --> 02:26:03,720
Speaker 7: is there a fake animated studio audience? You know, pretty bad?

2653
02:26:04,040 --> 02:26:06,600
Speaker 7: My friend Ellie Erman pointed out, like why is the

2654
02:26:06,920 --> 02:26:10,280
Speaker 7: protagonist so unpleasant even in their perfect fantasy world? And

2655
02:26:10,320 --> 02:26:13,920
Speaker 7: also why is the word sitcom hyphenated in the title

2656
02:26:14,520 --> 02:26:17,000
Speaker 7: something that you don't do? Just a lot of a

2657
02:26:17,000 --> 02:26:19,800
Speaker 7: lot of baffling things. So there was there was a

2658
02:26:19,800 --> 02:26:22,000
Speaker 7: mix of reactions to this. You know, some of the

2659
02:26:22,040 --> 02:26:25,000
Speaker 7: blue checks on Twitter were kind of lapping this stuff up.

2660
02:26:25,160 --> 02:26:29,000
Speaker 7: One person with the username Amazing Gaming Productions wrote, I

2661
02:26:29,040 --> 02:26:31,440
Speaker 7: know some people are critiquing it, but my fee once

2662
02:26:31,600 --> 02:26:33,959
Speaker 7: and I laughed at a couple points. It's a good start.

2663
02:26:34,040 --> 02:26:35,560
Speaker 7: I hope you continue to work on it. We need

2664
02:26:35,600 --> 02:26:38,760
Speaker 7: all of the indie material we can create. And included

2665
02:26:38,840 --> 02:26:43,440
Speaker 7: in this tweet is a picture of a very poorly

2666
02:26:43,560 --> 02:26:46,640
Speaker 7: drawn avatar saying, Hi, my name is Indye David. I'm

2667
02:26:46,680 --> 02:26:53,039
Speaker 7: here to fight Goliath. Mainstream Oh my God is a

2668
02:26:53,320 --> 02:26:57,160
Speaker 7: gamer Gate two themed gaming company who wants to create

2669
02:26:57,200 --> 02:27:01,560
Speaker 7: anti woke games. They've done in nothing. They just post

2670
02:27:01,680 --> 02:27:08,480
Speaker 7: really bad artwork. And I cannot overstate how bad.

2671
02:27:08,720 --> 02:27:11,200
Speaker 2: Why his neck so wide and so long?

2672
02:27:11,760 --> 02:27:14,240
Speaker 7: For how bad the TV show's animation is this? This

2673
02:27:14,320 --> 02:27:16,280
Speaker 7: reply was just so bad I had to point it out.

2674
02:27:16,400 --> 02:27:17,240
Speaker 7: Just incredible.

2675
02:27:17,320 --> 02:27:17,520
Speaker 2: Yeah.

2676
02:27:18,400 --> 02:27:23,840
Speaker 7: Now, Dave Rubin, the possible alleged potential most likely creator

2677
02:27:23,840 --> 02:27:27,480
Speaker 7: of the show, does air his work on Blaze TV,

2678
02:27:27,680 --> 02:27:31,360
Speaker 7: you know by by uh by Glenn Beck, and even

2679
02:27:31,520 --> 02:27:35,199
Speaker 7: even other Glenn Beck employees could not could not help

2680
02:27:35,320 --> 02:27:36,960
Speaker 7: but point out how terrible this is.

2681
02:27:37,080 --> 02:27:37,160
Speaker 8: Uh.

2682
02:27:37,360 --> 02:27:40,080
Speaker 7: Logan Hall, writer for Glenn Beck's The Blaze, wrote, quote,

2683
02:27:40,160 --> 02:27:43,800
Speaker 7: TV shows on leftism the cringiest, most unwatchable, nauseating trash

2684
02:27:43,840 --> 02:27:49,400
Speaker 7: ever created TV shows on conservatism, somehow even worse and

2685
02:27:49,959 --> 02:27:53,800
Speaker 7: one of the most brain poisoned. Conservative cartoonists George Axopolos

2686
02:27:54,400 --> 02:27:58,240
Speaker 7: basically like a discount Stone Toss wrote, quote, South Park

2687
02:27:58,240 --> 02:28:02,080
Speaker 7: had ed this has as much edge as uncooked sour dough.

2688
02:28:02,200 --> 02:28:04,560
Speaker 7: Between this and the Daily Wires limp cartoon, they may

2689
02:28:04,560 --> 02:28:06,600
Speaker 7: as well be flushing money down the toilet. He then

2690
02:28:06,680 --> 02:28:08,680
Speaker 7: went on to say, give me a small team, a

2691
02:28:08,760 --> 02:28:11,800
Speaker 7: million dollars and total creative control, and we will make

2692
02:28:11,800 --> 02:28:14,520
Speaker 7: a cartoon pilot that will melt faces. So again he

2693
02:28:14,600 --> 02:28:17,680
Speaker 7: just wants to to get his own his own TV show,

2694
02:28:18,000 --> 02:28:20,240
Speaker 7: but a whole bunch of these, you know, kind of

2695
02:28:21,400 --> 02:28:24,359
Speaker 7: right wing cultural critics were we're not we're not infused

2696
02:28:24,400 --> 02:28:27,600
Speaker 7: with this, with this outing because it's because it's really bad.

2697
02:28:27,680 --> 02:28:29,400
Speaker 7: So I want to get into kind of who is

2698
02:28:29,520 --> 02:28:35,000
Speaker 7: behind this now the full I hesitate to say creative team,

2699
02:28:35,360 --> 02:28:39,119
Speaker 7: but the people by the same team. Yeah, the team

2700
02:28:39,600 --> 02:28:41,880
Speaker 7: behind the New Norm Show. Not to be confused with

2701
02:28:41,920 --> 02:28:44,879
Speaker 7: the Fox two season documentary show The New Norm have

2702
02:28:45,000 --> 02:28:48,199
Speaker 7: been have been largely kept secret, possibly out of fears

2703
02:28:48,240 --> 02:28:48,920
Speaker 7: of humiliation.

2704
02:28:49,879 --> 02:28:51,840
Speaker 2: Yeah, that's how you know it's a good show.

2705
02:28:51,840 --> 02:28:54,200
Speaker 7: But we at least do know some of the voice cast, right,

2706
02:28:54,440 --> 02:28:57,600
Speaker 7: Larry Elder plays the token black conservative who only exists

2707
02:28:57,640 --> 02:29:00,480
Speaker 7: to affirm that the main character isn't actually racist. Now,

2708
02:29:00,600 --> 02:29:04,080
Speaker 7: I doubt Larry Elder has much involvement beyond lending his

2709
02:29:04,160 --> 02:29:09,000
Speaker 7: voice and the other two confirmed voice Again, I hesitate

2710
02:29:09,040 --> 02:29:11,480
Speaker 7: to use the word talent or even actor, but the

2711
02:29:11,720 --> 02:29:16,080
Speaker 7: other two voice contributors are Dave Rubin and JP Sears.

2712
02:29:16,120 --> 02:29:19,640
Speaker 7: Now I believe these two could be much more critical

2713
02:29:20,040 --> 02:29:23,000
Speaker 7: to what makes up the comedy of The New Norm Show.

2714
02:29:23,000 --> 02:29:25,160
Speaker 7: Not to be confused with the Oatly Oat Milk series

2715
02:29:25,200 --> 02:29:29,360
Speaker 7: of online puppet shorts titled The New Norm anal show. Now,

2716
02:29:29,680 --> 02:29:32,200
Speaker 7: I assume most people listening to this are familiar with

2717
02:29:32,320 --> 02:29:36,039
Speaker 7: Dave Rubin. Like many of these right wing influencers, he's

2718
02:29:36,040 --> 02:29:39,400
Speaker 7: a failed comedian turned political podcaster who's been positioning himself

2719
02:29:39,400 --> 02:29:41,200
Speaker 7: further and further to the right over the course of

2720
02:29:41,240 --> 02:29:44,800
Speaker 7: the last decade. Now, JP Sears was a quote unquote

2721
02:29:44,800 --> 02:29:47,720
Speaker 7: holistic life coach who turned kind of into like a

2722
02:29:47,879 --> 02:29:52,080
Speaker 7: YouTube skeptic type satirical comedian, and while trying to parody

2723
02:29:52,200 --> 02:29:54,920
Speaker 7: new age WU and conspiracy theories, JP was peddling his

2724
02:29:54,920 --> 02:29:59,360
Speaker 7: own pseudoscience and adopting more and more conspiratorial beliefs. Over time,

2725
02:29:59,640 --> 02:30:02,240
Speaker 7: JP and his comedy began moving further and further to

2726
02:30:02,280 --> 02:30:04,600
Speaker 7: the right. But the COVID nineteen lockdown was kind of

2727
02:30:04,600 --> 02:30:07,080
Speaker 7: the breaking point where he went all in on anti vaxx,

2728
02:30:07,120 --> 02:30:11,879
Speaker 7: COVID nineteen and January sixth conspiracy theories. But I think

2729
02:30:11,920 --> 02:30:14,360
Speaker 7: there has to be at least one other contributor, you know,

2730
02:30:14,440 --> 02:30:16,640
Speaker 7: behind like the art and design of the show, and

2731
02:30:16,680 --> 02:30:18,280
Speaker 7: I can't I can't figure out who that is. I

2732
02:30:18,520 --> 02:30:20,200
Speaker 7: scrolled through all of the tweets to try to find

2733
02:30:20,240 --> 02:30:23,119
Speaker 7: out if this account had another name. I can't find

2734
02:30:23,120 --> 02:30:25,280
Speaker 7: out who exactly this other person is. There is there

2735
02:30:25,320 --> 02:30:29,720
Speaker 7: is one mystery, one mystery component. But one interesting thing

2736
02:30:29,760 --> 02:30:33,120
Speaker 7: I did uncover is that the New Norm show, not

2737
02:30:33,120 --> 02:30:34,959
Speaker 7: to be confused with the twenty twelve TV show The

2738
02:30:34,959 --> 02:30:38,760
Speaker 7: New Normal, has been in production in some form for

2739
02:30:38,959 --> 02:30:43,160
Speaker 7: over four years. They've been working on this for over

2740
02:30:43,240 --> 02:30:47,920
Speaker 7: four years. There's one frame from a video titled Character

2741
02:30:48,040 --> 02:30:52,160
Speaker 7: Sketch Evolutions posted on September nineteenth of last year, and

2742
02:30:52,280 --> 02:30:54,879
Speaker 7: this show's project files stretching all the way back to

2743
02:30:54,959 --> 02:30:58,600
Speaker 7: January of twenty twenty. They've been working on this since

2744
02:30:58,680 --> 02:31:02,200
Speaker 7: January twenty twenty. Early sketches of the daughter feature and

2745
02:31:02,280 --> 02:31:06,640
Speaker 7: Antifa and transgender tattoo on her left arm. Also she

2746
02:31:06,760 --> 02:31:10,160
Speaker 7: has a kefia and posters that read Vegans for Palestine,

2747
02:31:10,480 --> 02:31:12,480
Speaker 7: all all in twenty twenty artwork.

2748
02:31:12,840 --> 02:31:13,400
Speaker 2: Wow.

2749
02:31:13,800 --> 02:31:19,240
Speaker 7: Yeah, yehow that's kind of fascinating because the daughter character

2750
02:31:19,320 --> 02:31:21,680
Speaker 7: in the published pilot is just wearing like a hoodie

2751
02:31:21,720 --> 02:31:24,039
Speaker 7: and like a beanie's. There's none of.

2752
02:31:24,040 --> 02:31:27,040
Speaker 2: These got like some bracelets that have like a there's

2753
02:31:27,040 --> 02:31:29,240
Speaker 2: at least one off her bracelets has a rainbow on it,

2754
02:31:29,280 --> 02:31:32,200
Speaker 2: which I think is the only queer signaling or like

2755
02:31:32,360 --> 02:31:35,039
Speaker 2: kind of it really signaling of any kind that we get.

2756
02:31:35,080 --> 02:31:37,440
Speaker 2: And she has an Apple Watch because lol gen z.

2757
02:31:38,200 --> 02:31:41,160
Speaker 2: But yeah, the otherwise her design is completely boring, like

2758
02:31:41,200 --> 02:31:42,400
Speaker 2: there's nothing going on.

2759
02:31:43,600 --> 02:31:47,560
Speaker 7: And I found this other, this other thing that is

2760
02:31:47,600 --> 02:31:51,400
Speaker 7: maybe a little bit you know, behind the scenes, look

2761
02:31:51,400 --> 02:31:55,760
Speaker 7: at what this may have been. So last March this

2762
02:31:55,840 --> 02:31:59,160
Speaker 7: account posted a little comic strip saying I'll look at

2763
02:31:59,200 --> 02:32:02,720
Speaker 7: how it began as a comic strip. So possibly this

2764
02:32:02,800 --> 02:32:05,879
Speaker 7: may have originated as not being an animated series but

2765
02:32:06,000 --> 02:32:09,040
Speaker 7: instead an online webcomic, which might explain a few things.

2766
02:32:09,040 --> 02:32:12,680
Speaker 7: And also that I assume the mystery contributor that we

2767
02:32:12,680 --> 02:32:15,000
Speaker 7: don't know probably was working on the webcomic and then

2768
02:32:15,040 --> 02:32:17,560
Speaker 7: kind of rope gain more and more people the sated series.

2769
02:32:17,800 --> 02:32:20,120
Speaker 7: But I am going to read out this webcomic just

2770
02:32:20,120 --> 02:32:23,440
Speaker 7: because it is fascinatingly bad.

2771
02:32:24,320 --> 02:32:27,039
Speaker 2: Oh my god, Oh my god.

2772
02:32:27,440 --> 02:32:31,080
Speaker 7: Norm says, for twenty years our address was seven Columbus Ave.

2773
02:32:31,520 --> 02:32:33,400
Speaker 7: Now it's callin Kaepernick Drive.

2774
02:32:33,840 --> 02:32:35,279
Speaker 2: That's his daughter saying.

2775
02:32:35,040 --> 02:32:39,240
Speaker 7: That, and everyone thinks I feel so. The mom says fancy,

2776
02:32:39,360 --> 02:32:43,320
Speaker 7: the daughter says woke, and Norm says sick. And then

2777
02:32:43,680 --> 02:32:46,000
Speaker 7: a whole bunch of news crews show up at Norm's

2778
02:32:46,000 --> 02:32:47,800
Speaker 7: front door. They say, what's it like to live in

2779
02:32:47,800 --> 02:32:50,800
Speaker 7: the most woke address in town? And Norman says, I

2780
02:32:50,920 --> 02:32:53,840
Speaker 7: refuse to call it callin Kaepernick Drive. It's Columbus Av.

2781
02:32:54,280 --> 02:32:57,120
Speaker 7: The news media says any last words before the angry

2782
02:32:57,160 --> 02:32:59,520
Speaker 7: mob shows up. Should we call a fire department for you?

2783
02:32:59,760 --> 02:33:02,879
Speaker 7: And Norman says, I thought you snowflakes defunded them too.

2784
02:33:03,600 --> 02:33:06,880
Speaker 7: It's not even no, no one was talking about defunding

2785
02:33:06,879 --> 02:33:08,720
Speaker 7: the fire department. Not true anyway.

2786
02:33:08,800 --> 02:33:11,600
Speaker 2: It's it's like it's just not even a joke, right,

2787
02:33:11,879 --> 02:33:15,560
Speaker 2: like the the there's not like a release of tension

2788
02:33:15,600 --> 02:33:18,040
Speaker 2: or anything with like the the end bit being like

2789
02:33:18,400 --> 02:33:20,440
Speaker 2: him saying, why would we call the fire department he

2790
02:33:20,520 --> 02:33:22,520
Speaker 2: defunded that? It's not It's like, it's not a joke.

2791
02:33:22,879 --> 02:33:27,160
Speaker 7: No, Like the last series of panels are even more disconnected. Yeah,

2792
02:33:27,200 --> 02:33:30,400
Speaker 7: they are back inside the doors closed norm says Chloe,

2793
02:33:30,480 --> 02:33:32,280
Speaker 7: which I guess is his daughter's name. Never said in

2794
02:33:32,280 --> 02:33:36,080
Speaker 7: the pilot, Chloe, why must your generation change everything? And

2795
02:33:36,120 --> 02:33:39,200
Speaker 7: then the doorbell rings delivery. The mom answers the door

2796
02:33:39,280 --> 02:33:42,720
Speaker 7: and says, sorry, wrong address. This is now Colin Kaeprinick Drive.

2797
02:33:43,200 --> 02:33:46,920
Speaker 7: Ben Affleck Boulevard is two streets down where James Woods

2798
02:33:46,920 --> 02:33:47,800
Speaker 7: Parkway used to be.

2799
02:33:48,120 --> 02:33:52,600
Speaker 2: My god, that's what is that? Even that is that? Even?

2800
02:33:53,280 --> 02:33:54,080
Speaker 2: Do you really like?

2801
02:33:54,360 --> 02:33:55,080
Speaker 13: Is it?

2802
02:33:55,160 --> 02:33:58,440
Speaker 7: They were okay James would get fallen. They replaced it

2803
02:33:58,440 --> 02:33:59,879
Speaker 7: with ben Affleck Boulevard.

2804
02:34:00,920 --> 02:34:02,879
Speaker 2: If you could if you were someone who was like

2805
02:34:03,000 --> 02:34:06,880
Speaker 2: kind of conservative but not completely brain poisoned, you could

2806
02:34:06,879 --> 02:34:09,080
Speaker 2: actually get some good bits out of Like they changed

2807
02:34:09,120 --> 02:34:11,240
Speaker 2: the name of this street from Columbus Avenue to Colin

2808
02:34:11,280 --> 02:34:13,520
Speaker 2: kaepern to drive Now. The smart way to play off

2809
02:34:13,560 --> 02:34:15,080
Speaker 2: of that would be to make it very clear that

2810
02:34:15,120 --> 02:34:18,439
Speaker 2: the town has a bunch of existing issues with inequality

2811
02:34:18,440 --> 02:34:21,320
Speaker 2: and racism that they have not dealt with in lieu

2812
02:34:21,360 --> 02:34:23,720
Speaker 2: of changing the name of a single street and pretending

2813
02:34:23,760 --> 02:34:27,200
Speaker 2: things are better. And you can actually, like there's things

2814
02:34:27,200 --> 02:34:30,080
Speaker 2: you could do with that were you actually making comedy.

2815
02:34:30,160 --> 02:34:33,119
Speaker 2: But like the fact that they the fact that the

2816
02:34:33,280 --> 02:34:37,080
Speaker 2: escalation is rather than sort of like examining this world

2817
02:34:37,160 --> 02:34:40,520
Speaker 2: and like why shit like this gets done just to

2818
02:34:40,640 --> 02:34:45,200
Speaker 2: kind of like make these like performative gestures. Instead, it's like,

2819
02:34:45,440 --> 02:34:48,720
Speaker 2: and next they're going to replace James Woods with ben Affleck?

2820
02:34:49,120 --> 02:34:52,440
Speaker 2: Which therey good do the gen Z kids do the

2821
02:34:52,480 --> 02:34:56,760
Speaker 2: progressives like ben Affleck? Does anyone feel all that strongly

2822
02:34:56,840 --> 02:34:58,000
Speaker 2: about ben Affleck?

2823
02:34:58,200 --> 02:35:01,320
Speaker 7: No, we had to start naving street after ben Affleck. Also,

2824
02:35:02,040 --> 02:35:04,680
Speaker 7: why would there be a James Woods Parkway anyway? Whatever?

2825
02:35:05,480 --> 02:35:08,680
Speaker 2: Yeah, who's naming a street after name a thing? James

2826
02:35:08,720 --> 02:35:10,480
Speaker 2: Woods has been in like.

2827
02:35:10,959 --> 02:35:15,560
Speaker 7: Oh my god. So the marketing of this pilot is

2828
02:35:15,600 --> 02:35:18,280
Speaker 7: even is almost as baffling as the pilot itself. Right,

2829
02:35:18,680 --> 02:35:21,920
Speaker 7: there's a few slogans they like to use, first of all,

2830
02:35:21,959 --> 02:35:24,640
Speaker 7: the South Park of X, which is already just brilliant,

2831
02:35:25,240 --> 02:35:29,959
Speaker 7: it's hard, legalize humor, very very funny, and make America

2832
02:35:30,160 --> 02:35:32,800
Speaker 7: funny again. They will often just tweet these phrases out

2833
02:35:32,800 --> 02:35:36,680
Speaker 7: with no context, and sure, why not. The home page

2834
02:35:36,800 --> 02:35:40,200
Speaker 7: on their website reads quote The New Norm. Not to

2835
02:35:40,240 --> 02:35:43,680
Speaker 7: be confused with the ongoing podcast series. The New Norm

2836
02:35:44,360 --> 02:35:47,480
Speaker 7: is an animated sitcom for our woke world, an edgy

2837
02:35:47,640 --> 02:35:51,000
Speaker 7: yet family friendly comedy that shines a funny light on

2838
02:35:51,040 --> 02:35:55,199
Speaker 7: today's most divisive issues and gives Americans a safe space

2839
02:35:55,600 --> 02:35:59,560
Speaker 7: to come together and laugh. Just fantastic stuff.

2840
02:36:00,400 --> 02:36:04,840
Speaker 2: Great, great, I love again. I made a comment about this,

2841
02:36:04,920 --> 02:36:07,040
Speaker 2: but I love that they're calling this the South Park

2842
02:36:07,200 --> 02:36:11,080
Speaker 2: of X because like the South Park, guys would never

2843
02:36:11,160 --> 02:36:14,520
Speaker 2: put a cartoon or anything else on X because they

2844
02:36:14,560 --> 02:36:17,760
Speaker 2: actually make things that are commercially successful and so real

2845
02:36:17,920 --> 02:36:23,080
Speaker 2: companies will buy their shows, whereas if you're putting something

2846
02:36:23,120 --> 02:36:25,400
Speaker 2: on X, it means that there's no money in what

2847
02:36:25,520 --> 02:36:28,160
Speaker 2: you're doing. It means that you your show is going

2848
02:36:28,200 --> 02:36:31,480
Speaker 2: to be monetized alongside those ads for games that don't

2849
02:36:31,520 --> 02:36:36,240
Speaker 2: exist that just show like boy like little action cartoon

2850
02:36:36,360 --> 02:36:39,560
Speaker 2: characters leaping into the legs of like very horny drawings

2851
02:36:39,640 --> 02:36:43,400
Speaker 2: of Gorgan's and shit and actual straight up pornography because

2852
02:36:43,400 --> 02:36:44,600
Speaker 2: there is no money on.

2853
02:36:44,879 --> 02:36:49,520
Speaker 7: X Family friendly so funny. Now, there are a few

2854
02:36:49,680 --> 02:36:53,800
Speaker 7: reviews that they post on the new norm website. Bill

2855
02:36:53,879 --> 02:36:58,480
Speaker 7: Mahers has brilliant, Dave Rubins has beautiful, Larry Elders has relevant,

2856
02:36:58,560 --> 02:37:01,600
Speaker 7: timely and funny men and Kevin.

2857
02:37:01,320 --> 02:37:02,280
Speaker 2: He's literally in.

2858
02:37:02,520 --> 02:37:06,879
Speaker 7: He's one of the voices, so is Steve Ruben and

2859
02:37:06,959 --> 02:37:13,200
Speaker 7: Kevin Sorbo says All in the Family for our time. Wow, Robert, Well,

2860
02:37:13,400 --> 02:37:16,600
Speaker 7: what is All in the Family? Because I am a zooming.

2861
02:37:16,320 --> 02:37:18,039
Speaker 2: I need you explain a couple of things. All in

2862
02:37:18,080 --> 02:37:22,760
Speaker 2: the Family was a groundbreaking sitcom show from like fifteen

2863
02:37:22,840 --> 02:37:24,320
Speaker 2: or twenty years before you were born.

2864
02:37:25,200 --> 02:37:26,720
Speaker 7: Even longer than that, I mean it was like it

2865
02:37:26,760 --> 02:37:27,879
Speaker 7: was like the seventies.

2866
02:37:27,520 --> 02:37:30,680
Speaker 2: Right, yeah, oh shit, it was like thirty or forty

2867
02:37:30,760 --> 02:37:31,800
Speaker 2: years before you were born.

2868
02:37:31,879 --> 02:37:34,760
Speaker 7: Yes, it's way way before my time. It's before your time.

2869
02:37:35,200 --> 02:37:39,920
Speaker 2: Yes, yes, it is, and uh, Kevin Sorbo. Do you

2870
02:37:39,959 --> 02:37:41,080
Speaker 2: know who Kevin Sorbo was?

2871
02:37:41,160 --> 02:37:45,200
Speaker 7: Even Robert I grew up watching Christian movies. I am

2872
02:37:45,440 --> 02:37:48,040
Speaker 7: intimately familiar with Kevin Sorboh.

2873
02:37:48,080 --> 02:37:51,040
Speaker 2: Okay, okay, but I know why he actually got famous.

2874
02:37:51,080 --> 02:37:56,760
Speaker 2: He was, yes, in a show that again predates your existence.

2875
02:37:56,280 --> 02:38:00,680
Speaker 7: But it's now just your bad Christian actor. Now, these

2876
02:38:00,680 --> 02:38:02,760
Speaker 7: reviews are funny, not only because two of these people

2877
02:38:02,760 --> 02:38:05,039
Speaker 7: giving reviews on the site are literally in the pilot,

2878
02:38:05,160 --> 02:38:09,439
Speaker 7: but also let's look at the Bill Maher quote brilliant.

2879
02:38:10,280 --> 02:38:12,560
Speaker 7: Do you think Bill Maher has seen this pilot?

2880
02:38:13,520 --> 02:38:13,560
Speaker 11: No?

2881
02:38:13,720 --> 02:38:14,000
Speaker 13: I don't.

2882
02:38:14,040 --> 02:38:14,920
Speaker 7: He hasn't.

2883
02:38:15,000 --> 02:38:15,160
Speaker 12: No.

2884
02:38:15,440 --> 02:38:18,600
Speaker 7: Do you know why? Of course, because underneath the text

2885
02:38:18,680 --> 02:38:22,640
Speaker 7: that says in quotes brilliant, it says brilliant Bill Maher,

2886
02:38:22,920 --> 02:38:25,959
Speaker 7: HBO Real Time Host, And then in much smaller text,

2887
02:38:26,040 --> 02:38:29,800
Speaker 7: it says, speaking of the show creator's previous work featured

2888
02:38:29,800 --> 02:38:34,200
Speaker 7: on HBO, he's just talking about Dave Rubin being interviewed

2889
02:38:34,280 --> 02:38:38,720
Speaker 7: on his show. At some point Bill Maher said brilliant

2890
02:38:38,800 --> 02:38:41,040
Speaker 7: to Dave Rubin, And now they're using this as a

2891
02:38:41,120 --> 02:38:43,120
Speaker 7: quote endorsing this show.

2892
02:38:43,200 --> 02:38:43,480
Speaker 12: Man.

2893
02:38:43,959 --> 02:38:48,720
Speaker 2: I kind of I feel like, so fifteen years or

2894
02:38:48,760 --> 02:38:52,600
Speaker 2: so ago, back when he was still alive. Roger Ebert

2895
02:38:52,800 --> 02:38:55,200
Speaker 2: shared one of my articles that I wrote for Cracked,

2896
02:38:55,200 --> 02:38:57,040
Speaker 2: and I kind of want to take his feedback on

2897
02:38:57,080 --> 02:39:00,200
Speaker 2: that and claim that, like like dress it up his

2898
02:39:00,240 --> 02:39:04,000
Speaker 2: feedback for our podcast. Yeah, Roger Hebert loves this show

2899
02:39:04,040 --> 02:39:07,680
Speaker 2: that was made ten years after he died. Well he doesn't,

2900
02:39:07,680 --> 02:39:10,080
Speaker 2: but he said something nice about something else I did

2901
02:39:10,120 --> 02:39:13,359
Speaker 2: a long time ago, so I think he would support.

2902
02:39:13,040 --> 02:39:18,440
Speaker 7: Show creator's previous work. It's amazing. And I we will

2903
02:39:18,480 --> 02:39:20,640
Speaker 7: return to the Kevin Sorbo quote about All in the

2904
02:39:20,640 --> 02:39:23,840
Speaker 7: Family for our time. Yes again, Like this isn't even

2905
02:39:23,879 --> 02:39:26,560
Speaker 7: just a parody of like All in the Family. They're

2906
02:39:26,600 --> 02:39:30,000
Speaker 7: they're taking certain they're they're taking certain elements, but but

2907
02:39:30,160 --> 02:39:32,600
Speaker 7: not like actually satirizing them. They're just kind of doing

2908
02:39:32,680 --> 02:39:35,439
Speaker 7: them again. And do you know what we're gonna do again, Robert,

2909
02:39:36,400 --> 02:39:38,640
Speaker 7: good ads, We're gonna, we are, we gonna, We're gonna

2910
02:39:38,640 --> 02:39:39,080
Speaker 7: go to add.

2911
02:39:38,959 --> 02:39:41,520
Speaker 2: We're going We're going to transition, which the people who

2912
02:39:41,600 --> 02:39:42,920
Speaker 2: make this show would really hate.

2913
02:39:53,959 --> 02:39:57,360
Speaker 7: Okay, we are back. I have a few images from

2914
02:39:57,640 --> 02:39:59,880
Speaker 7: the from the marketing of this that you're gonna love.

2915
02:40:00,040 --> 02:40:00,320
Speaker 12: Robert.

2916
02:40:00,600 --> 02:40:04,000
Speaker 7: Back in September, the New Norm shows. Twitter posted this

2917
02:40:04,160 --> 02:40:08,439
Speaker 7: picture It's a very bad cardoon Mike god, Ben Shapiro,

2918
02:40:08,560 --> 02:40:10,080
Speaker 7: Tucker Carlson, and Joe Rogan.

2919
02:40:10,879 --> 02:40:11,680
Speaker 2: What are these?

2920
02:40:12,240 --> 02:40:16,200
Speaker 7: It has one like and textra says who is your

2921
02:40:16,280 --> 02:40:24,200
Speaker 7: fav street A small they made bit Shapiro and Joe Rogan. Oh,

2922
02:40:24,720 --> 02:40:28,800
Speaker 7: and there is another another image of Norm the titular

2923
02:40:28,879 --> 02:40:32,040
Speaker 7: character saying thank you Chaya Wrycheck and Elon Musk for

2924
02:40:32,080 --> 02:40:35,200
Speaker 7: the freedom to say amen. Now that the word amen

2925
02:40:35,440 --> 02:40:38,879
Speaker 7: was undemonetized. So most of their marketing kind of look

2926
02:40:39,000 --> 02:40:41,280
Speaker 7: kind of looks like this. It's just it's talking about

2927
02:40:41,320 --> 02:40:44,600
Speaker 7: other more popular right wing content creators or just praising

2928
02:40:44,720 --> 02:40:47,840
Speaker 7: Elon Musk. That is most of the marketing for the show.

2929
02:40:49,040 --> 02:40:51,560
Speaker 7: It seems their primary marketing strategy seems to be sucking

2930
02:40:51,640 --> 02:40:54,080
Speaker 7: up to Elon Musk to attract attention from him and

2931
02:40:54,200 --> 02:40:57,440
Speaker 7: his fan base. Now, I haven't seen anyone else talking

2932
02:40:57,440 --> 02:40:59,840
Speaker 7: about this yet, but the New Norm Show, not to

2933
02:40:59,840 --> 02:41:03,160
Speaker 7: be confused with the New Norm McDonald Show, actually released

2934
02:41:03,360 --> 02:41:07,720
Speaker 7: their first video project last March. It was titled Elon

2935
02:41:07,840 --> 02:41:14,640
Speaker 7: Musk xaoc ai Animation unquote what, with show creator Dave

2936
02:41:14,720 --> 02:41:20,160
Speaker 7: Rubin saying the future of animation is AI The video

2937
02:41:20,280 --> 02:41:23,120
Speaker 7: starts with an AI image of Elon Musk in a

2938
02:41:23,200 --> 02:41:29,520
Speaker 7: black suit, with voiceover of Norm A dressing Musk saying, Hey, Elon,

2939
02:41:29,879 --> 02:41:34,360
Speaker 7: check this out. We cut to a congressional deposition where

2940
02:41:34,400 --> 02:41:37,119
Speaker 7: AOC is questioning Elon Musk, who is wearing a spacesuit

2941
02:41:37,480 --> 02:41:40,880
Speaker 7: about him, replying, quote unquote true to a meme posted

2942
02:41:40,920 --> 02:41:43,840
Speaker 7: by Norm saying that AOC is hot but not smart.

2943
02:41:44,480 --> 02:41:46,600
Speaker 2: Mister Musk, call me Elon.

2944
02:41:49,360 --> 02:41:52,080
Speaker 7: There's a slow motion love heart sequence of Elon and

2945
02:41:52,160 --> 02:41:55,280
Speaker 7: AOC staring at each other, and Elon says, I have

2946
02:41:55,400 --> 02:41:58,240
Speaker 7: a hands on approach to the world's population crisis.

2947
02:41:58,600 --> 02:42:02,920
Speaker 15: You'll never get your hands up on me. I'm boycotting you.

2948
02:42:03,280 --> 02:42:05,440
Speaker 12: Then go yourself.

2949
02:42:06,200 --> 02:42:08,920
Speaker 2: God, he looks like a cherub in that spacesuit.

2950
02:42:09,040 --> 02:42:09,920
Speaker 11: What is so?

2951
02:42:10,040 --> 02:42:10,240
Speaker 5: Yeah?

2952
02:42:10,360 --> 02:42:13,959
Speaker 7: Here, here's here's Ai Norm and AI Elon Musk sitting

2953
02:42:14,000 --> 02:42:14,760
Speaker 7: in this courtroom.

2954
02:42:15,920 --> 02:42:16,080
Speaker 6: Now.

2955
02:42:16,840 --> 02:42:19,800
Speaker 7: Norm says that it's because of Elon's reply quote that

2956
02:42:20,000 --> 02:42:23,920
Speaker 7: millions of people saw my post. So in this in

2957
02:42:24,040 --> 02:42:26,640
Speaker 7: this like little to no effort AI short, they straight

2958
02:42:26,720 --> 02:42:29,840
Speaker 7: up lay out their intentions behind all of this, clamoring

2959
02:42:29,959 --> 02:42:31,520
Speaker 7: for Musk's attention and approval.

2960
02:42:31,600 --> 02:42:31,720
Speaker 11: Right.

2961
02:42:32,520 --> 02:42:35,680
Speaker 7: Their goal is that if Elon Musk can see their stuff,

2962
02:42:36,080 --> 02:42:38,640
Speaker 7: maybe he'll spread it and it will be popular. That's

2963
02:42:38,680 --> 02:42:39,840
Speaker 7: the intention.

2964
02:42:40,000 --> 02:42:41,879
Speaker 2: A nine year old boy, Oh yeah.

2965
02:42:41,720 --> 02:42:42,400
Speaker 5: He does.

2966
02:42:42,520 --> 02:42:45,160
Speaker 7: He does look like like cherub Elon Musk. Absolutely yeah.

2967
02:42:45,879 --> 02:42:48,400
Speaker 7: But so this is this is their entire strategy, right,

2968
02:42:48,440 --> 02:42:51,160
Speaker 7: It's to make content that they hope Elon Musk will

2969
02:42:51,200 --> 02:42:53,640
Speaker 7: see and then boost so that people will give them money.

2970
02:42:54,160 --> 02:42:56,440
Speaker 7: That's that's the entirety of the bit. In the replies

2971
02:42:56,480 --> 02:42:58,840
Speaker 7: to this AI short film, everyone who like expressed that

2972
02:42:58,879 --> 02:43:01,240
Speaker 7: they liked it, saying like so funny or just like

2973
02:43:01,280 --> 02:43:04,520
Speaker 7: a laugh emoji. The norm account replied to every single

2974
02:43:04,560 --> 02:43:07,480
Speaker 7: one of these tweets with a thumbs up emoji. That's it,

2975
02:43:07,760 --> 02:43:11,520
Speaker 7: I got, that's that's it, like sometimes with a flaming

2976
02:43:11,560 --> 02:43:14,240
Speaker 7: thumbs up, sometimes with a regular thumb up emoji, but

2977
02:43:14,440 --> 02:43:16,720
Speaker 7: replying to every single tweet they just did a thumbs up.

2978
02:43:16,800 --> 02:43:19,360
Speaker 7: It's so it's so lazy, like like.

2979
02:43:19,600 --> 02:43:23,120
Speaker 2: Content goes out. That's some intern who's getting paid by

2980
02:43:23,160 --> 02:43:26,560
Speaker 2: there in like or if they're getting paid or whatever,

2981
02:43:26,600 --> 02:43:29,000
Speaker 2: however they're getting evaluated. They want to be able to

2982
02:43:29,040 --> 02:43:31,360
Speaker 2: claim that they were doing lots of work. So yeah,

2983
02:43:31,400 --> 02:43:33,840
Speaker 2: they're just going through and thumbs uping every post. That's

2984
02:43:33,959 --> 02:43:35,039
Speaker 2: my wild So.

2985
02:43:36,720 --> 02:43:39,120
Speaker 7: This is all kind of reminiscent of The Daily Wire's

2986
02:43:39,200 --> 02:43:42,840
Speaker 7: own animated comedy, mister Burcham right now, mister Burchram, we

2987
02:43:42,920 --> 02:43:45,200
Speaker 7: talked about in our in our in our Daily Wire

2988
02:43:45,320 --> 02:43:47,760
Speaker 7: episodes earlier this year, but it was it was pitched

2989
02:43:47,800 --> 02:43:50,960
Speaker 7: to Fox, like over a decade ago. They even made

2990
02:43:51,000 --> 02:43:54,240
Speaker 7: a ten minute animatic. Fox passed, and so did every

2991
02:43:54,360 --> 02:43:58,200
Speaker 7: other network and streaming service also declined to pick up

2992
02:43:58,280 --> 02:44:02,360
Speaker 7: the project until until it came across Jeremy Boring's desk

2993
02:44:02,440 --> 02:44:03,440
Speaker 7: a few years ago.

2994
02:44:03,879 --> 02:44:06,920
Speaker 2: And Jeremy Bowring said, Adam Carolla, that's who the kids

2995
02:44:06,959 --> 02:44:07,800
Speaker 2: love these days.

2996
02:44:09,760 --> 02:44:12,080
Speaker 7: So yeah, they green lit the show and it is

2997
02:44:12,160 --> 02:44:14,920
Speaker 7: now airing on The Daily Wire Plus. But most of

2998
02:44:15,000 --> 02:44:18,000
Speaker 7: the jokes are super outdated because again this was pitched

2999
02:44:18,120 --> 02:44:21,240
Speaker 7: ten years ago, over ten years ago, so there's a

3000
02:44:21,240 --> 02:44:24,200
Speaker 7: wholench of just like vegan jokes, Like it's jokes that

3001
02:44:24,360 --> 02:44:26,920
Speaker 7: maybe would have been transgressive in twenty eleven.

3002
02:44:27,280 --> 02:44:27,400
Speaker 11: You know.

3003
02:44:27,520 --> 02:44:29,920
Speaker 7: Of course, there's like there's like a few updated jokes

3004
02:44:29,959 --> 02:44:33,640
Speaker 7: thrown in there, but like not many. So in terms

3005
02:44:33,720 --> 02:44:36,160
Speaker 7: of the New Norm show, not to be confused with

3006
02:44:36,240 --> 02:44:39,000
Speaker 7: the many other projects with the same title, only the

3007
02:44:39,080 --> 02:44:42,000
Speaker 7: three minute pilot episode is out right now right. They

3008
02:44:42,040 --> 02:44:45,720
Speaker 7: are soliciting more money and that's the main drive of

3009
02:44:45,760 --> 02:44:48,360
Speaker 7: putting out this pilot is that they are spreading around

3010
02:44:48,400 --> 02:44:51,400
Speaker 7: this donation link like crazy. They've explicitly said when does

3011
02:44:51,440 --> 02:44:54,760
Speaker 7: the first episode drop? Soon but sooner if y'all give

3012
02:44:54,879 --> 02:44:56,160
Speaker 7: here with the donation link.

3013
02:44:56,840 --> 02:44:57,040
Speaker 2: Yeah.

3014
02:44:57,720 --> 02:45:00,960
Speaker 7: Two other tweets read quote support this show to animate

3015
02:45:01,000 --> 02:45:04,080
Speaker 7: the first season, and support this show and help fight

3016
02:45:04,360 --> 02:45:08,120
Speaker 7: the woke mind virus with laughter unquote. I don't think

3017
02:45:08,160 --> 02:45:09,800
Speaker 7: this will actually ever get made because no one's gonna

3018
02:45:09,800 --> 02:45:11,039
Speaker 7: support this because it's garbage.

3019
02:45:11,480 --> 02:45:14,480
Speaker 2: This is like that reddap Family an FT cartoon exactly,

3020
02:45:14,560 --> 02:45:15,800
Speaker 2: which I'm still hard well.

3021
02:45:15,840 --> 02:45:18,360
Speaker 7: That they're doing is trying to get you know, like

3022
02:45:18,800 --> 02:45:22,600
Speaker 7: unfortunate souls to donate money to this, and uh, I

3023
02:45:22,640 --> 02:45:24,400
Speaker 7: don't think the right wing billionaires are going to be

3024
02:45:24,440 --> 02:45:27,440
Speaker 7: funding this the same way they fund other Daily Wire projects.

3025
02:45:28,480 --> 02:45:30,720
Speaker 7: So this seems kind of dead in the water. This

3026
02:45:30,800 --> 02:45:32,480
Speaker 7: seems like it, you know, not much thought was put

3027
02:45:32,480 --> 02:45:37,240
Speaker 7: into it. It's lazy. It's also completely stealing a Simpson's

3028
02:45:37,320 --> 02:45:40,959
Speaker 7: joke from nineteen ninety nine. This is the big thing

3029
02:45:41,160 --> 02:45:44,320
Speaker 7: I discovered. So I've been trying to watch more nineties

3030
02:45:44,400 --> 02:45:48,040
Speaker 7: Simpson lately, Good for You, Good for You, Solid Move,

3031
02:45:48,360 --> 02:45:51,039
Speaker 7: And as I was watching the three minute pilot, something

3032
02:45:51,120 --> 02:45:54,080
Speaker 7: started to feel a little bit familiar. And then I

3033
02:45:54,280 --> 02:45:56,960
Speaker 7: read the Kevin Sorbo review All in the Family for

3034
02:45:57,040 --> 02:46:02,160
Speaker 7: Our Time, and I realized something. This whole show is

3035
02:46:02,320 --> 02:46:05,360
Speaker 7: just stealing a cutaway gag from a nineteen ninety nine

3036
02:46:05,400 --> 02:46:09,120
Speaker 7: Simpsons episode about a fake sitcom called All in the

3037
02:46:09,200 --> 02:46:12,640
Speaker 7: Family nineteen ninety nine, in which a new, more woke

3038
02:46:12,959 --> 02:46:16,360
Speaker 7: and inclusive a version of the original show is airing

3039
02:46:16,440 --> 02:46:20,320
Speaker 7: on TV. And here's a collection of images Robert in

3040
02:46:20,440 --> 02:46:24,600
Speaker 7: my Google document that shows early concept art of Norm

3041
02:46:24,840 --> 02:46:28,039
Speaker 7: looking exactly like the main character of.

3042
02:46:28,200 --> 02:46:30,240
Speaker 12: Yeah, Down with the Cigar.

3043
02:46:31,560 --> 02:46:34,360
Speaker 7: It literally, the picture of him in the chair looks traced.

3044
02:46:34,840 --> 02:46:38,640
Speaker 7: It is the exact same. There is a diverse cast.

3045
02:46:38,560 --> 02:46:41,880
Speaker 2: And standing next to him exactly the woman's study major

3046
02:46:41,920 --> 02:46:45,119
Speaker 2: in her birkenstocks exactly. It got a Rabbi in there

3047
02:46:45,120 --> 02:46:48,920
Speaker 2: as opposed to the which is some nineties diversity. Colm.

3048
02:46:49,040 --> 02:46:51,880
Speaker 2: But like, and I remember that bit too, which is

3049
02:46:51,959 --> 02:46:55,640
Speaker 2: like a it's actually a because there were conservatives writing

3050
02:46:55,760 --> 02:46:59,920
Speaker 2: on the Simpsons in the nineties, one of the John Schwartzwelder,

3051
02:47:00,120 --> 02:47:04,320
Speaker 2: was like a famous libertarian, like he's a but he's

3052
02:47:04,360 --> 02:47:08,039
Speaker 2: also like funny, and so they made a good bit

3053
02:47:08,280 --> 02:47:12,920
Speaker 2: about like pec like the rash of like overtly politically

3054
02:47:13,000 --> 02:47:15,400
Speaker 2: correct shows right like it's it's it's a it's a

3055
02:47:15,480 --> 02:47:18,680
Speaker 2: fun little aside joke that Schwartzwelder was enough of a

3056
02:47:18,760 --> 02:47:23,119
Speaker 2: comedian to know is good for about six seconds exactly.

3057
02:47:23,200 --> 02:47:25,400
Speaker 7: And I will play those six seconds right now and

3058
02:47:25,520 --> 02:47:28,920
Speaker 7: at nine thirty All in the Family nineteen ninety nine.

3059
02:47:29,360 --> 02:47:33,000
Speaker 14: Who geez did he got me living with an African American,

3060
02:47:33,080 --> 02:47:35,920
Speaker 14: a semi American, and a woman American there.

3061
02:47:36,080 --> 02:47:39,440
Speaker 7: And I'm glad I loved you so all, I love everybody.

3062
02:47:39,720 --> 02:47:41,840
Speaker 2: I wish i'd shaved my money from the first show.

3063
02:47:42,360 --> 02:47:42,560
Speaker 12: Yeah.

3064
02:47:42,640 --> 02:47:46,160
Speaker 17: See, there's there's, there's there's a couple of different jokes there. Yeah,

3065
02:47:46,240 --> 02:47:49,959
Speaker 17: there's multiple jokes in that three seconds or so. It's

3066
02:47:50,040 --> 02:47:52,520
Speaker 17: such a good layered joke on the part of the Simpsons.

3067
02:47:52,600 --> 02:47:56,000
Speaker 17: It has the parody of Archie from All in the

3068
02:47:56,040 --> 02:47:59,640
Speaker 17: Family kind of being like offensive in an old fashioned way,

3069
02:48:00,640 --> 02:48:02,760
Speaker 17: you know, bemoaning that he has to be around all

3070
02:48:02,800 --> 02:48:05,920
Speaker 17: these people, but also saying that he loves everyone in

3071
02:48:05,959 --> 02:48:07,680
Speaker 17: the way that these kind of shows like to play

3072
02:48:07,760 --> 02:48:10,480
Speaker 17: both sides by showing the main character is still good

3073
02:48:10,600 --> 02:48:13,680
Speaker 17: nature despite his faults, and then he flips again saying

3074
02:48:13,720 --> 02:48:15,920
Speaker 17: he's he's only come back to do the show because

3075
02:48:15,959 --> 02:48:18,800
Speaker 17: he needs money. The bit doesn't overstate it's welcome, it

3076
02:48:19,000 --> 02:48:22,280
Speaker 17: lasts only like ten seconds, and yet is infinitely more

3077
02:48:22,360 --> 02:48:26,000
Speaker 17: funny than the entirety of this three minute pilot, And

3078
02:48:26,160 --> 02:48:28,840
Speaker 17: Dave Rubin actually thought he could just rip off a

3079
02:48:28,959 --> 02:48:31,960
Speaker 17: shore to obscure Simpson's joke and stretch it into an

3080
02:48:32,200 --> 02:48:35,280
Speaker 17: entire show and no one would notice. So I was

3081
02:48:35,320 --> 02:48:37,360
Speaker 17: really happy to find that this was just stealing an

3082
02:48:37,360 --> 02:48:39,800
Speaker 17: old Simpson's joke really poorly too.

3083
02:48:40,200 --> 02:48:42,920
Speaker 7: And because I've been watching more older Simpsons, I've also

3084
02:48:43,080 --> 02:48:46,640
Speaker 7: realized that a lot of the jokes and ladyballers are

3085
02:48:46,720 --> 02:48:50,480
Speaker 7: also just completely stolen from Simpsons, but ripped of the

3086
02:48:50,600 --> 02:48:53,440
Speaker 7: context that makes them funny. So all of these like

3087
02:48:53,600 --> 02:48:56,440
Speaker 7: right wing like cranks we're trying to produce this comedy stuff,

3088
02:48:56,760 --> 02:48:59,520
Speaker 7: they're all just kind of going back to old Simpson's

3089
02:48:59,600 --> 02:49:03,040
Speaker 7: jokes that people, hopefully you have like forgotten and are

3090
02:49:03,120 --> 02:49:07,280
Speaker 7: injecting them without the actual humorous context into all these

3091
02:49:07,360 --> 02:49:10,920
Speaker 7: anti woke projects. And it doesn't work. It simply doesn't.

3092
02:49:11,120 --> 02:49:13,880
Speaker 7: For one, it's plagiarizing, and the second and and like

3093
02:49:14,000 --> 02:49:16,920
Speaker 7: secondly it's it's just bad. But yes, I will I

3094
02:49:16,920 --> 02:49:19,760
Speaker 7: will post some of these comparison pictures on h on

3095
02:49:19,920 --> 02:49:22,480
Speaker 7: my Twitter at Hungry bow Tie if you want to

3096
02:49:22,520 --> 02:49:25,880
Speaker 7: see the uh, the shocking, shocking hard works.

3097
02:49:26,720 --> 02:49:30,280
Speaker 2: That was a fine investigation, Garrison, because you're definitely right,

3098
02:49:30,680 --> 02:49:33,040
Speaker 2: like this is this is a carbon copy of of

3099
02:49:33,120 --> 02:49:35,640
Speaker 2: a cutaway gag about all in the family. That's so

3100
02:49:36,120 --> 02:49:36,920
Speaker 2: fucking funny.

3101
02:49:37,160 --> 02:49:39,200
Speaker 7: Even the background house is the same look. They have,

3102
02:49:39,280 --> 02:49:45,160
Speaker 7: the staircase the same the door, like it's everything is

3103
02:49:45,200 --> 02:49:46,520
Speaker 7: in the exact same position.

3104
02:49:47,400 --> 02:49:48,240
Speaker 2: It's wild.

3105
02:49:48,720 --> 02:49:49,800
Speaker 7: I know they said this.

3106
02:49:50,080 --> 02:49:52,560
Speaker 2: They sent this to an animator, like they sent that

3107
02:49:52,680 --> 02:49:56,080
Speaker 2: screen grab to the animated That's so funny. God, this

3108
02:49:56,480 --> 02:49:59,279
Speaker 2: The Simpsons was such a good show and its golden

3109
02:49:59,360 --> 02:50:02,520
Speaker 2: years that people are still trying to competently rip it off,

3110
02:50:02,560 --> 02:50:05,600
Speaker 2: and again they compare themselves to like the South Park

3111
02:50:05,640 --> 02:50:08,320
Speaker 2: of X. South Park even did a much better job

3112
02:50:08,440 --> 02:50:10,920
Speaker 2: of ripping off The Simpsons and making that be the

3113
02:50:11,040 --> 02:50:14,560
Speaker 2: focus of an episode that like everyone rips off the

3114
02:50:14,600 --> 02:50:17,600
Speaker 2: Simpsons because of how the long they've been going on,

3115
02:50:17,760 --> 02:50:18,920
Speaker 2: Like yeah, anyway, whatever.

3116
02:50:18,920 --> 02:50:21,560
Speaker 7: They were smart enough to remove the cigar in the

3117
02:50:21,640 --> 02:50:24,600
Speaker 7: final pilot, but all because because that would be just

3118
02:50:24,720 --> 02:50:27,000
Speaker 7: so obvious. But all the concept ared that they've posted

3119
02:50:27,120 --> 02:50:30,040
Speaker 7: on Twitter, like half a year ago has has him

3120
02:50:30,080 --> 02:50:32,480
Speaker 7: with a cigar wearing a white button up shirt and it.

3121
02:50:32,480 --> 02:50:34,000
Speaker 2: Looks it is it is.

3122
02:50:34,200 --> 02:50:36,920
Speaker 7: It is almost traced. It is like, yeah, his his

3123
02:50:37,160 --> 02:50:37,560
Speaker 7: his arm.

3124
02:50:37,640 --> 02:50:40,519
Speaker 2: They threw on the vests distract.

3125
02:50:40,400 --> 02:50:44,520
Speaker 7: It's it's phenomenal. So yeah, amazing stuff from Dave Rubin.

3126
02:50:44,879 --> 02:50:47,680
Speaker 7: He I guess shouldn't have quit interning at the at

3127
02:50:47,720 --> 02:50:50,320
Speaker 7: A at John Stewart back in the two thousands. Maybe

3128
02:50:50,440 --> 02:50:52,720
Speaker 7: maybe he could have had a better life, but instead,

3129
02:50:52,920 --> 02:50:56,160
Speaker 7: instead we get this, so great job, Dave Rubin. I

3130
02:50:56,640 --> 02:50:59,640
Speaker 7: wish you only the best in your future creative works.

3131
02:51:00,200 --> 02:51:03,240
Speaker 2: Yeah, this is what's going to get him that plush

3132
02:51:03,280 --> 02:51:06,040
Speaker 2: writing gig on the Rick and Morty season. I don't

3133
02:51:06,040 --> 02:51:08,720
Speaker 2: know whatever the next one is. I'm sure he's on

3134
02:51:08,879 --> 02:51:09,280
Speaker 2: the cusp.

3135
02:51:09,600 --> 02:51:11,840
Speaker 7: Oh he's close to breaking through. I can feel it.

3136
02:51:12,120 --> 02:51:16,760
Speaker 2: Yeah yeah, all right, right, well I'm glad. I'm gonna

3137
02:51:16,760 --> 02:51:18,320
Speaker 2: go watch some classic Simpsons again.

3138
02:51:18,400 --> 02:51:18,600
Speaker 10: Thank you.

3139
02:51:18,680 --> 02:51:24,600
Speaker 2: For reminding me. Hey, We'll be back Monday with more

3140
02:51:24,640 --> 02:51:27,280
Speaker 2: episodes every week from now until the heat death of

3141
02:51:27,320 --> 02:51:27,840
Speaker 2: the Universe.

3142
02:51:28,480 --> 02:51:30,800
Speaker 10: It Could Happen Here as a production of cool Zone Media.

3143
02:51:31,040 --> 02:51:33,720
Speaker 17: For more podcasts from cool Zone Media, visit our website

3144
02:51:33,760 --> 02:51:35,960
Speaker 17: cool zonemedia dot com, or check us out on the

3145
02:51:36,040 --> 02:51:39,400
Speaker 17: iHeartRadio app, Apple Podcasts, or wherever you listen to podcasts.

3146
02:51:39,680 --> 02:51:41,760
Speaker 6: You can find sources for It Could Happen Here, updated

3147
02:51:41,879 --> 02:51:45,880
Speaker 6: monthly at cool zonemedia dot com slash sources. Thanks for listening.