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Speaker 1: Hello the Internet, and welcome to Season one two, Episode

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Speaker 1: two of Da Daily Zeigeist to production of My Heart Radio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's share consciousness and say officially off the tough,

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Speaker 1: Fuck the Koch Brothers, fuck Fox Neooze, fuck Blake nef

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Speaker 1: I guess is the name of the head writer for

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Speaker 1: Tucker Carlson, who was right and racist, had the gig

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Speaker 1: of his dreams. You get right through his racist little

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Speaker 1: Yeah Zuckerberg, Jack Bezos, and fuck jk Rolling. It's Tuesday, July.

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Speaker 1: My name is Jack O'Brien a K. I was the

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Speaker 1: clear crack Night, a mere white dude. Jacoby was on

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Speaker 1: the street trying to consume some tent for the Eve

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Speaker 1: so the Cokes could go get fucked. Just talking on

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Speaker 1: the Mike hotting all alone. Then I hit up my

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Speaker 1: friend her Mad just on a mission trying to find

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Speaker 1: Mr Miles of g with hose me a every day

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Speaker 1: all week? Oh you hose no? What's up with t dazy?

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Speaker 1: That is courtesy of Walter Chestnut and I am thrilled

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Speaker 1: to be joined as always buy my co host Mr

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Speaker 1: Miles Graying, Do Do Do Do Do do done do

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Speaker 1: do do do doon. Yes, I won't tune us up

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Speaker 1: a sub made of fishes of a long just for

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Speaker 1: me hanging out the subway all day, Tuna all day,

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Speaker 1: bring that tuna duney okay, So thank you so much

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Speaker 1: to Walter Chestnut Water Chestnut too at at water chest

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Speaker 1: on Twitter, you know, were for that scrubs and tad.

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Speaker 1: Oh yeah, that was all the way from Vancouver, British Columbia.

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Speaker 1: Come those ak Yeah, uh Miles, how you doing hydrated

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Speaker 1: can off for you? Yeah? Oh you know California's shut

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Speaker 1: back up baby, Yeah, yeah, that's shutter down. That's really

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Speaker 1: the I don't know, I mean, I don't think I

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Speaker 1: was really living as if it were open anyway more.

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Speaker 1: Just like the absolute this is this is the waking

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Speaker 1: name of America. Yea. Yeah, Well, we are thrilled to

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Speaker 1: be joined in our third seat by the very talented

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Speaker 1: Mr Oz Walsh and rather mr Mr oswalishing than the

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Speaker 1: time to Mr Ripley. But thank you for thank you

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Speaker 1: for having me on. Thanks for I'm about as well

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Speaker 1: as can be. As as you guys were. We're mentioning

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Speaker 1: it's obviously a rather rather difficult time in lots of

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Speaker 1: ways for lots of people. So I'm feeling grateful but

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Speaker 1: also tired. Yeah, yeah, where are you? Where are you

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Speaker 1: broadcasting to us from an I'm broadcasting to you for

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Speaker 1: Continental Europe um. But I yea, I left the States

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Speaker 1: about two months ago, so oh wow, what happened? Well,

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Speaker 1: funny enough, my my girlfriend and family are here, and

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Speaker 1: uh and you know what it really it's it's strange

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Speaker 1: being a kind of insider, outsider and somebody who moved

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Speaker 1: to the States ten years ago and always somebody who's

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Speaker 1: had so much admiration for the States and jumped through

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Speaker 1: quite a lot of hoops, frankly to be able to

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Speaker 1: stay there for ten years. And now to see why

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Speaker 1: do you use the past tense when you said I

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Speaker 1: had a lot of admiration for the States, Well, well,

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Speaker 1: it's a it's a difficult figured it out, Jack, They

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Speaker 1: figured it out. I think I think a lot of

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Speaker 1: the a lot of the hypocrisy and violence that has

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Speaker 1: been required to keep the American dream alive is being

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Speaker 1: very radically exposed for better. But these these revolutions in

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Speaker 1: in consciousness and perhaps more than consciousness, don't tend to

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Speaker 1: go off too easily. And I think in the background

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Speaker 1: as well is the fact that there's anyway this America

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Speaker 1: China power shift going on, which kind of exacerbates this

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Speaker 1: authoritarian tendencies and neurosis about status. And I think it's

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Speaker 1: just a very difficult cocktail of things right now in

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Speaker 1: in the Land of the Free and the Home of

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Speaker 1: the Brave. Yes, and we use the air quotes for

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Speaker 1: free and brave and land. That was was really that was,

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Speaker 1: that was kind of beautiful. We should ask people who

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Speaker 1: aren't panicking in the middle of the apocalypse to describe

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Speaker 1: what they see from a distance more often, because that

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Speaker 1: was that was well put. Um, yeah, it's always like

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Speaker 1: nice to hear because it's so eloquent and accurate, and

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Speaker 1: I'm like yeah, man, and then I'm like, ah, fuck,

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Speaker 1: I'm there right now. Yeah yeah, yeah, right, right right. Okay,

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Speaker 1: So we gotta we gotta, we gotta open our eyes

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Speaker 1: a little bit. That's the reason I'll come back, though,

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Speaker 1: is because you get way too much credit even now

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Speaker 1: in the States for being British, so irresistible inducement to

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Speaker 1: come back, right, um, all right, Well, we are going

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Speaker 1: to get to know you a little bit better in

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Speaker 1: a moment. First, we're gonna tell our listeners a couple

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Speaker 1: of the things we're talking about today. One thing we're

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Speaker 1: talking about is one location in these United States where

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Speaker 1: everything is just a okay, and that is Disney World. Uh.

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Speaker 1: Just the happiest place on earth. Everybody smiling, wearing their masks,

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Speaker 1: social distancing. They opened up this weekend. Uh, and yeah,

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Speaker 1: it looks good from where I'm sitting. Uh. So we're

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Speaker 1: gonna talk about that. Uh. We're gonna talk about just

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Speaker 1: a bunch of racist ship. There's a white supremacist who

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Speaker 1: is found with guns and bombs in their car. Uh,

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Speaker 1: one of those news stories that were at any other

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Speaker 1: ideology would have been a big news story. We're gonna

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Speaker 1: talk about car rammings, which is a form of terrorism

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Speaker 1: that is seeing a spike. We're gonna talk about millionaires

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Speaker 1: begging to be taxed. We're gonna get our white supremacy

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Speaker 1: fuckory round up, And if we have time, we're going

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Speaker 1: to talk about lead poisoning, the lead poisoning theory of

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Speaker 1: crime in these United States. And I'm gonna ask the question, Uh,

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Speaker 1: is it just crime? Are there are there other things

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Speaker 1: that were caused by the fact that the baby boomers

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Speaker 1: grew up in a lead poisoned environment. All of that

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Speaker 1: plenty more, But first, oz, we like to ask our guest,

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Speaker 1: what is something from your search history that is revealing

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Speaker 1: about who you are? Well. I am working on a

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Speaker 1: podcast at the moment called Forgotten the Women of Juarez,

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Speaker 1: about string of unsolved murders in Juarez, right across the

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Speaker 1: border from El Paso, Texas. And I have a reporting

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Speaker 1: partner called Monica, who is from El Paso and has

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Speaker 1: spent fifteen years reporting on the story. And one of

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Speaker 1: the interesting things about El Paso is that Spanglish is

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Speaker 1: the is the language of the town. So people start one,

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Speaker 1: you know, the sentences in English and them in Spanish

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Speaker 1: or vice versa. And I have a rather rudimentary commander Spanish,

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Speaker 1: but I've been taking Spanish lessons on Skype once a

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Speaker 1: week to try and improve my my grasp and trying

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Speaker 1: to understand a bit more about what's going on. And

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Speaker 1: so one word in particular I googled is metilo and

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Speaker 1: metio means involved or trapped. And it's an important word

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Speaker 1: in Juarez because it signifies how organized crime, the cartel

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Speaker 1: and other powerful interests keep people silent and keep people

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Speaker 1: complicit in all kinds of crimes. And so I think

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Speaker 1: the phrase I was more familiar with before was plateau

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Speaker 1: plumo from Palo Escoba, meaning silver or lead, the bullet

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Speaker 1: or the bride. But metito is what happens after that,

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Speaker 1: and the consequences in a society are rather horrific. So

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Speaker 1: they get the I mean, once they take the bribe,

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Speaker 1: they're sort of involved and complicit, and therefore they're just

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Speaker 1: it's sort of a sunk cast where they feel like

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Speaker 1: they can't turn around exactly. And I think there's a

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Speaker 1: as a tendency, psychological tendency of doubling down and down

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Speaker 1: and down and down. So you know, it might start

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Speaker 1: with hay, can you watch this corner? Or you know, hey,

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Speaker 1: can you smuggle this package? But once you have a

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Speaker 1: connection with the with the beast of organized crime in Whuirez,

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Speaker 1: the logic of it tends to be you know, deathly literally,

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Speaker 1: And so you know, it's interesting to you know, we

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Speaker 1: think about people in the cartel or an organized crime

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Speaker 1: who you know, are of in herrent evil and certainly

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Speaker 1: when we see some of the things they do, that's

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Speaker 1: what it looks like. And and for some they probably

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Speaker 1: are psychopaths. But there's also this sort of social consequence

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Speaker 1: of violence, the normalization of violence, and the small steps

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Speaker 1: towards violence, which have been going on horrifically in Huires

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Speaker 1: for for many years, but which also off for some

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Speaker 1: kind of warning. I think there was a journalist who

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Speaker 1: called Quires a postcard from the future or a laboratory

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Speaker 1: of our future, and and so that's one of the

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Speaker 1: subtexts of the podcast is you know what happens when

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Speaker 1: things are allowed to go to hell, when the judiciary

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Speaker 1: is no longer dependent, when journalists are murdered, and and

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Speaker 1: you you end up seeing the most vulnerable people in

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Speaker 1: society being murdered. Wow, that show is people can go

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Speaker 1: listen to it right now, right, that's right. Yes, we're

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Speaker 1: on episode eight or ten, so the mystery is unraveling. Yeah,

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Speaker 1: it's pretty mind blowing. And you guys are great storytellers.

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Speaker 1: What is something you think is underrated? I think four

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Speaker 1: by George Orwell is underrated. And I'm only saying that

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Speaker 1: because I'm reading it for the first time right now.

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Speaker 1: Having used the word Orwellian and the phrase for the

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Speaker 1: last twenty years, I thought it was time to time

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Speaker 1: to read that book, and it is phenomenally prescian. It's

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Speaker 1: a book written in which talks about Telly screens, these

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Speaker 1: screens that with us all the time, which basically monitor

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Speaker 1: us and send propaganda away. I mean this was before

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Speaker 1: or well had probably even seen a television that he'd

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Speaker 1: basically predicted cell phones. And secondly, you know, unfortunately, sorry

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Speaker 1: to be a bit bleak again, but this this critique

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Speaker 1: of what happens when a society becomes authoritarian, when you know,

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Speaker 1: we lose the freedom of expression and even of thought,

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Speaker 1: how difficult it is to resist and also how you know,

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Speaker 1: it's like the frog in the pot. You know, it's

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Speaker 1: kind of you you don't realize how hot it is

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Speaker 1: until you know it's too late to jump out. Yeah,

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Speaker 1: I think, like, right now it's happening where people are

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Speaker 1: looking at a TV screen where a president who's by

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Speaker 1: most measurable standards not fucking here, uh, is like laughing

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Speaker 1: as hundreds of thousands of people die, and everyone just

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Speaker 1: kind of like mmm mm hmmm. Like the reaction is

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Speaker 1: just sort of this this nihilistic acceptance of it power.

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Speaker 1: It's like it's a very unique thing, especially when you

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Speaker 1: take a second to really kind of like read out

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Speaker 1: loud or think out loud, what like the sort of

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Speaker 1: statistics we're looking at day by day and what the

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Speaker 1: behavior is of the supposed leadership in the country and

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Speaker 1: the past. It's hard, I mean it's hard to know,

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Speaker 1: you know, how to be a citizen. Obviously, in the

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Speaker 1: immediate term, protest is is very important and achieving great things.

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Speaker 1: But what is the you know, is there a revolution coming?

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Speaker 1: I mean, let's say, let's say the best case scenario

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Speaker 1: in the election, is Joe Biden becoming president. Is he

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Speaker 1: in his in his cabinet going to address the fundamental

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Speaker 1: structural issues that have that I've got us here. I mean,

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Speaker 1: he's described himself as a transition candidate, but you know,

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Speaker 1: it's we could do I think with some something more

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Speaker 1: powerful than transition or stability to rally around right now. Yeah,

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Speaker 1: a lot of people were pointing out to me on

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Speaker 1: Twitter just in response to kind of some of the

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Speaker 1: conversations we're having about the United States, and you know,

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Speaker 1: it's States being very capitalistic and sort of drenched in

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Speaker 1: this capitalistic ideal, but a lot of the things that

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Speaker 1: we're talking about that currently exists in the US are

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Speaker 1: more either authoritarian or oligarchical like institutions that aren't capitalist,

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Speaker 1: because a capitalistic you know, system of government or iety

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Speaker 1: is meritocratic, and we just don't have that, and even

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Speaker 1: remotely right now. Now it's extraordinary that I mean that

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Speaker 1: the social mobility in the US is you know, is

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Speaker 1: historical lows, the accumulation of wealth amongst the richest people

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Speaker 1: at historical highs. I mean, I was thinking about the

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Speaker 1: end of the Soviet Union, because that's this extraordinary story

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Speaker 1: about the last cosmonaut who went up to space when

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Speaker 1: it was still a Soviet Union and then couldn't come

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Speaker 1: back because there was no more Soviet Union to bring

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Speaker 1: him home. So it was circling around until finally Germany

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Speaker 1: And I was thinking about the space race, because we

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Speaker 1: just had you know, SpaceX and to NASA scientists into

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Speaker 1: the into orbit and it's like, you know, that was

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Speaker 1: a great moment for Trump and Pants and they talked

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Speaker 1: about space, but they were standing there gloating over the

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Speaker 1: outsourcing of NASA to private industry, and it's like, how

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Speaker 1: how can this be something to celebrate? Yeah, well, I

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Speaker 1: think that sort of the what it's all been like

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Speaker 1: all these great programs that were built up or slowly

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Speaker 1: just get sort of privatized essentially, So like this fire

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Speaker 1: sale of uh infrastructure, Right, what is something you think

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Speaker 1: is overrated? Well, funny you mentioned the rich people begging

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Speaker 1: to pay more taxes at the beginning of the show. Um,

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Speaker 1: I've been thinking a lot about, you know, rich people

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Speaker 1: doing good things as being overrated. I mean, there's been

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Speaker 1: all these conspiracies about about Bill Gates, which obviously I

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Speaker 1: don't buy um, and I celebrate what the Gates Foundation

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Speaker 1: does and I'm impressed by by his work. But the

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Speaker 1: real conspiracy is that you have someone who has tens

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Speaker 1: of billions of dollars in the first place and can

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Speaker 1: run some kind of shadow mixture of the world's health

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Speaker 1: organization and the State Department. It's like, I'm glad he's

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Speaker 1: doing it because in the application everybody else doing this.

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Speaker 1: It's good that it's happening, But like, how could it

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Speaker 1: not be? How can it be that you know, the

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Speaker 1: United States, there's incredibly rich and powerful country, has basically

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Speaker 1: let an audigocuse you mentioned take control of the functions

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Speaker 1: of the state. I mean, it's No, it's no surprise

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Speaker 1: that that people are so angry. Yeah. I mean he

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Speaker 1: has lobbied, his company has lobbied all like people who

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Speaker 1: are billionaires have chosen to be billionaires, um, and they

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Speaker 1: are choosing that and the solutions of them, you know,

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Speaker 1: being basically all garks who solve other people's problems over

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Speaker 1: you know, having a healthy social safety net in its place, um,

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Speaker 1: one way or another. You know, Um, obviously Bill Gates

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Speaker 1: can't snap his fingers and suddenly we have a great

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Speaker 1: social safety net. But along the way he's made lots

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Speaker 1: of decisions that you know, our our counter to a

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Speaker 1: strong social safety net. And I also think it's it's

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Speaker 1: unreasonable to expect people to act strongly. It's their own interests.

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Speaker 1: I mean, that's why we have a state in the

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Speaker 1: first place. It's supposed to be, you know, to balance

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Speaker 1: the wealth of society in a fair way. And so

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Speaker 1: the idea that it's a solution to have people who

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Speaker 1: are grossly enriched themselves volunteer to de enrich themselves, and

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Speaker 1: it seems to be a little bit, a little bit

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Speaker 1: behind the sky. Um. So I wonder if those are

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Speaker 1: like the wealthy people there, they seem to be all

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Speaker 1: the wealthy people who didn't manage to get their hands

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Speaker 1: into politics or like to get them there. And they're like,

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Speaker 1: I mean, I could have done it like the other

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Speaker 1: wealthy people, which is to just you know, blow out

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Speaker 1: the House and Senate with their money and and get

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Speaker 1: their jollies off like that the cocks. Yeah. And finally,

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Speaker 1: what is a myth with something people think it's true,

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Speaker 1: you know, to be false or vice versa. Well, um,

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Speaker 1: I'm sorry again, I'm mixture of the times and the

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Speaker 1: topic of my of my podcast is another heavy one.

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Speaker 1: But but bord of violence beginning with Donald Trump is

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Speaker 1: is something of a myth. I mean, Trump has been

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Speaker 1: extraordinarily horrific. I think with the encouragement of Stephen Miller,

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Speaker 1: his policy advisor, on policies like family separation, which was

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Speaker 1: actually piloted. It's extraordinary would pilot a program right that

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Speaker 1: but piloted in El Paso to test how it worked?

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Speaker 1: Did it put people off from coming? Um? But to

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Speaker 1: focus on on Trump as as the source of all

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Speaker 1: mouth feasance at the US Mexico border is probably wrong.

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Speaker 1: And in fact, if you go back to under President Clinton,

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Speaker 1: there was something called Operation Hold the line, which was

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Speaker 1: the first one of the first efforts to militarize the border,

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Speaker 1: after a former cartel lookout who became the US congressman

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Speaker 1: in El Paso before Better or Rock, encourage his border

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Speaker 1: patrol agents to form a human wall along the border

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Speaker 1: to try and demonstrate, you know, how under rain border

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Speaker 1: patrol was and how much they needed more resources, which

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Speaker 1: indeed came from the federal government, and reports suggest were

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Speaker 1: spent on a on the construction of some physical barriers

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Speaker 1: by a company belonging to a family member of the congressman.

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Speaker 1: Now I'm not sure if that's true, but that's that's

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Speaker 1: that's the report. And going back to the sixties, actually

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Speaker 1: after the Second World War, there was a shortage of

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Speaker 1: laborers in America, agricultural labors, industrial laborers, and so the

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Speaker 1: States basically said to Mexico, send us your single men.

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Speaker 1: You know, we'll let them work and we'll send them

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Speaker 1: back at the end of the season with money in

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Speaker 1: their pockets. And this went on to the sixties, at

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Speaker 1: which point there was political pressure saying, you know, Mexicans

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Speaker 1: taking our jobs, send them back. So millions of these

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Speaker 1: men basically were were sort of not not exactly deported

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Speaker 1: but sent back to the border and across the border.

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Speaker 1: So the history of the US Mexico border has been

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Speaker 1: of desire for Mexican labor, but disclaiming of response disability.

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Speaker 1: And you know, it has a lot of parallels with

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Speaker 1: the United States relationship with the African American community as well. Yeah,

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Speaker 1: this the whole yeah finger pointing of like, yes, the

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Speaker 1: business owners would like the labors, the labors to come there.

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Speaker 1: And then when you know, as things become more spread

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Speaker 1: out around the country and they're like, oh, well, maybe

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Speaker 1: we move our operations. They're reverting to this thing like,

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Speaker 1: well that's who's taking the jobs. You know, it wasn't

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Speaker 1: me deciding that I would make way more money not

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Speaker 1: paying y'all like regular money. I can go over here

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Speaker 1: where the wages are far more depressed and my margins

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Speaker 1: blow up now, And yeah, I think it is this.

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Speaker 1: It's it's interesting to watch how it evolves because I

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Speaker 1: think initially, like the first border patrol is about like

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Speaker 1: finding like illegal Chinese immigrants. Uh So it's always like

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Speaker 1: you see these sort of uh these organizations or these

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Speaker 1: bureaucracies within the government that are also there to like

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Speaker 1: help sustain certain error. It's too of like the like,

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Speaker 1: let's who's the reason for a disenfranchisement that we can

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Speaker 1: point to exactly? Alright, guys, let's take a quick break

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Speaker 1: and then we will get into the stories of the day.

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Speaker 1: And we're back. And so is Disney World back open

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Speaker 1: without a hitch? So that's that story. Um, moving on

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Speaker 1: to nothing to see here? So uh. Over the weekend

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Speaker 1: on Sunday, Florida broke the national record for the most

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Speaker 1: new COVID cases in a single state on a single day,

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Speaker 1: over fifteen thousand. That beats even New York at the

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Speaker 1: height of their pandemic. And this is the same weekend

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Speaker 1: that Disney World decided to open back up. A lot

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Speaker 1: of people saw the video last week where they were like, hey,

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Speaker 1: everything's cool. A bunch of their workers or cast members

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Speaker 1: quote yeah, loving it. Uh, just wearing masks and smile

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Speaker 1: smizing through the masks with the empty park behind them.

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Speaker 1: Um and just like really giving this like empty i'd

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Speaker 1: reassurance gestures of reassurance that were incredibly easy for people

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Speaker 1: to re edit into horror movie trailers and just just

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Speaker 1: by changing the soundtrack. Uh, the power of music though. Yeah,

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Speaker 1: but very very creepy. So anyways, they went through with it.

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Speaker 1: They opened over the weekend. UH had most you know,

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Speaker 1: uh most cast members were back. About seven park employees

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Speaker 1: weren't there for the opening. These were the stage performers

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Speaker 1: who aren't allowed to wear masks because there I don't know,

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Speaker 1: like uh snow white or you know, when playing some

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Speaker 1: character who doesn't have a COVID mask or be like

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Speaker 1: the like the stunt shows and like people who like

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Speaker 1: do real like performance performance because they're under Actors Equity Union.

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Speaker 1: That's why they're not there, got it? And they wanted

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Speaker 1: just better testing for you because union was like, hey,

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Speaker 1: if you want these people to go as a union,

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Speaker 1: we're negotiating for these people, for our members to step

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Speaker 1: foot on your property to work, that there should be

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Speaker 1: you know, regular testing at the very least so people know,

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Speaker 1: like you know, get some rapid answers so you can

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Speaker 1: get treatment as quickly as possible, quarantine. And I was like, yeah, sorry,

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Speaker 1: I guess you guys just don't have to come back then. Yeah,

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Speaker 1: So why so Disney Disney didn't want to give the

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Speaker 1: test because they're too expensive, it was too much of

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Speaker 1: a hass A little because they worried about the knowledge

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Speaker 1: amongst the workforce, and what was the reason is one

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Speaker 1: thing that you might have missed not being in the

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Speaker 1: United States. But tests are actually bad because they tell

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Speaker 1: you who has it, and then your numbers go up,

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Speaker 1: and therefore the people start to panic and you just

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Speaker 1: don't want that sort of thing. That and then but

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Speaker 1: the people I also read that the people who are

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Speaker 1: in the suits are actually under in the Teamsters union.

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Speaker 1: So like the big Mickey soup people, those are teamsters.

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Speaker 1: Like some of the performers, that's actors equity. And yeah,

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Speaker 1: they all had, you know, their own needs. Some were

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Speaker 1: met and some clearly we're not by the park in

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Speaker 1: their rush to begin generating revenue. There was Every video

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Speaker 1: I saw come out of there over the weekend was

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Speaker 1: a nightmarish. The first video I saw it was what

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Speaker 1: could go wrong if I let a balloon? Like just

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Speaker 1: let go of my balloon on Main Street? And it

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Speaker 1: was like, I don't know, forgive me, Disney, Hi've I

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Speaker 1: don't know the main character with the really long red

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Speaker 1: hair with the green dress, but she was on a

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Speaker 1: horse and this person's loose balloon like the little plastic

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Speaker 1: Mickey weight that sort of keeps the balloon from like

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Speaker 1: destroying a child's day fully like got wrapped around the

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Speaker 1: horse's ankle and it starts like bucking, and it's like

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Speaker 1: you're just like oh no, no, no, like this is

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Speaker 1: the first thing I'm seeing. And then and then there

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Speaker 1: was that. Obviously, those two women who became the bells

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Speaker 1: of the ball this weekend, what were they doing They

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Speaker 1: were refusing to They were streamers who this woman said

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Speaker 1: she was having like straight up COVID SIPs. She was like,

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Speaker 1: first she said, I'm violently vomiting. I have like my

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Speaker 1: blood pressure was one seventy over something. It was something

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Speaker 1: so bad. But one woman was dismissing it as like

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Speaker 1: a nut allergy, and many people were like yeah, and

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Speaker 1: then that was the thing. So they went to go

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Speaker 1: see like the like the first aid, uh like sort

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Speaker 1: of hut or whatever. And the woman didn't use her

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Speaker 1: like EpiPen, so it wasn't like that bad. So they

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Speaker 1: also figured apparently some people were arguing, now this is

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Speaker 1: all anecdotal that like if you had any kind of

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Speaker 1: incident that would have required an EpiPen, like Disney will

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Speaker 1: just call an ambulance because they don't want any fucking

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Speaker 1: thing to do with someone having some kind of allergic

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Speaker 1: reaction that goes completely left, which I believe, like because

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Speaker 1: a lot of people in the comments saying like that's bullshit,

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Speaker 1: Like the second you say you have a nut allergy,

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Speaker 1: people get really really interested, especially at restaurants at Disney whatever.

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Speaker 1: Either way, it was clear that if even if this

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Speaker 1: woman had a nut allergy, with the things she was saying, like,

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Speaker 1: she was in really bad shape and probably should have

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Speaker 1: just left because a that could suppress your immune system, this,

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Speaker 1: that and the other whatever. But it became this whole

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Speaker 1: thing where then these women came back and we're like,

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Speaker 1: there's just haters on the internet. They edited it so

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Speaker 1: it like didn't actually tell the full story it was

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Speaker 1: a nut allergy, but when you watch the whole thing

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Speaker 1: it either way, I don't have like a judgment on

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Speaker 1: whether they did or did not, But if you were

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Speaker 1: like in any situation where your health seemed iffy at

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Speaker 1: all given the pandemic, you don't want to be at

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Speaker 1: Disney World, right, And they kind of went back and

427
00:26:09,600 --> 00:26:11,600
Speaker 1: kind of caped for Disney and was like no, no, no no,

428
00:26:11,880 --> 00:26:15,720
Speaker 1: nothing to see here, basically with their follow up video yeah,

429
00:26:15,840 --> 00:26:18,359
Speaker 1: and just saying that the other thing is bullshit just

430
00:26:18,400 --> 00:26:21,520
Speaker 1: because I said she's so sick, like really sick, y'all,

431
00:26:21,560 --> 00:26:24,960
Speaker 1: like vomiting everywhere sick. That doesn't mean COVID okay, And

432
00:26:25,040 --> 00:26:28,920
Speaker 1: yes we have sore throats, But it's not that I

433
00:26:28,920 --> 00:26:34,120
Speaker 1: think there's something particularly perverse about this incident unfolding at Disney.

434
00:26:34,240 --> 00:26:37,280
Speaker 1: One of the other things that we sort of look

435
00:26:37,359 --> 00:26:40,080
Speaker 1: at from from across the pond when we think about

436
00:26:40,119 --> 00:26:44,199
Speaker 1: the States, this idea of utopian communities and and and

437
00:26:44,240 --> 00:26:46,760
Speaker 1: the idea of America itself partly as a as a

438
00:26:46,880 --> 00:26:52,200
Speaker 1: utopian community at the great cost obviously of the original inhabitants.

439
00:26:52,240 --> 00:26:55,359
Speaker 1: But Disney is this kind of you know, symbol of

440
00:26:55,359 --> 00:26:59,960
Speaker 1: of a constructed paradise and and sort of it's to say,

441
00:27:00,000 --> 00:27:02,919
Speaker 1: into a into a hell escape. This this weekend, with

442
00:27:02,920 --> 00:27:05,840
Speaker 1: what you guys are describing, is quite allegorical, I think

443
00:27:05,920 --> 00:27:09,760
Speaker 1: for for for many reasons, nothing like so much of

444
00:27:10,119 --> 00:27:13,720
Speaker 1: the writing of reality for the past month has just

445
00:27:13,800 --> 00:27:16,760
Speaker 1: been so on the nose that is just like, all right,

446
00:27:16,880 --> 00:27:19,800
Speaker 1: come on, man, like this is this is ridiculous. But yeah,

447
00:27:19,840 --> 00:27:25,000
Speaker 1: Disney being the capital of you know, just all the

448
00:27:25,119 --> 00:27:31,200
Speaker 1: things that are ailing our COVID nineteen responses unbelievable. Um

449
00:27:31,240 --> 00:27:34,280
Speaker 1: and yeah, that so believable. The other place that I

450
00:27:34,320 --> 00:27:37,800
Speaker 1: had to stay open was the factories in Houiras, which

451
00:27:38,160 --> 00:27:42,000
Speaker 1: which manufacture things like medical gloves and blood pleasure blood

452
00:27:42,000 --> 00:27:46,080
Speaker 1: pressure cuffs and pivoted to trying to make ventilators. And

453
00:27:46,880 --> 00:27:50,040
Speaker 1: the workers who many of whom these murders that are

454
00:27:50,040 --> 00:27:52,440
Speaker 1: covered in my podcast were for a while called the

455
00:27:52,520 --> 00:27:55,160
Speaker 1: Macula Doora murders because so many of the victims worked

456
00:27:55,160 --> 00:27:59,239
Speaker 1: in these factories or Maculadoras, which actually American owned more

457
00:27:59,280 --> 00:28:03,919
Speaker 1: than and anyway, so during during COVID, these these factories,

458
00:28:04,119 --> 00:28:06,520
Speaker 1: you know that workers obviously didn't want to shop for

459
00:28:06,560 --> 00:28:10,000
Speaker 1: work because the caseload was getting going through the roof.

460
00:28:10,400 --> 00:28:13,879
Speaker 1: But the American ambassador to Mexico called the president and said,

461
00:28:14,800 --> 00:28:17,800
Speaker 1: please don't shut down the Maquilas slash don't shut down

462
00:28:17,840 --> 00:28:21,480
Speaker 1: the Maquilas because we need the essential goods for our

463
00:28:21,600 --> 00:28:25,760
Speaker 1: patients and healthcare system. So these workers had to continue

464
00:28:25,880 --> 00:28:29,720
Speaker 1: going to their jobs to produce goods for the US

465
00:28:29,800 --> 00:28:32,560
Speaker 1: to use in its own fight against COVID. And I

466
00:28:32,560 --> 00:28:37,679
Speaker 1: think it's that same sort of extremely unpleasant sort of

467
00:28:37,720 --> 00:28:40,280
Speaker 1: irony that you get with with the Disney World workers

468
00:28:40,360 --> 00:28:43,240
Speaker 1: who are risking their lives to get sick to create

469
00:28:43,320 --> 00:28:46,520
Speaker 1: this sort of to create this paradise, but really to

470
00:28:46,600 --> 00:28:50,080
Speaker 1: create shareholder value. But the workers in wires, it's even

471
00:28:50,200 --> 00:28:52,640
Speaker 1: like more insidious because in a way it's like, hey,

472
00:28:52,680 --> 00:28:55,880
Speaker 1: we need more gear because we've only been exacerbating our

473
00:28:55,920 --> 00:28:59,840
Speaker 1: own problem with our you know, straight up ignorance and

474
00:29:00,120 --> 00:29:03,400
Speaker 1: willful ignorance around this because we didn't want to lose

475
00:29:03,480 --> 00:29:06,360
Speaker 1: it too much money. Yeah, and even at some point,

476
00:29:06,360 --> 00:29:09,800
Speaker 1: if like if there, if if the objective is clear

477
00:29:09,920 --> 00:29:12,920
Speaker 1: enough to not lose as much money at that point,

478
00:29:12,920 --> 00:29:15,800
Speaker 1: don't you sit down and go through all the different

479
00:29:15,840 --> 00:29:20,920
Speaker 1: permutations of how this goes economically and say, okay, this

480
00:29:20,960 --> 00:29:23,920
Speaker 1: start stop version actually is the worst. It's going to

481
00:29:24,040 --> 00:29:28,600
Speaker 1: cost the most money, so we shouldn't do that. But

482
00:29:28,720 --> 00:29:32,840
Speaker 1: even then, there's like this path like pathological urge to

483
00:29:33,120 --> 00:29:37,320
Speaker 1: see revenue being generated that even to stop it's like

484
00:29:37,960 --> 00:29:41,360
Speaker 1: it's too shocking, I think for for like these business owners,

485
00:29:41,880 --> 00:29:44,320
Speaker 1: and I think Britain and the US have had amongst

486
00:29:44,360 --> 00:29:47,480
Speaker 1: the very worst responses exactly that start stop thing that

487
00:29:47,560 --> 00:29:49,480
Speaker 1: you mentioned, where you don't commit to one way or

488
00:29:49,480 --> 00:29:52,080
Speaker 1: the other and I was thinking about it earlier. I mean,

489
00:29:52,320 --> 00:29:54,840
Speaker 1: it's also interesting those are the two countries where Cambridge

490
00:29:54,880 --> 00:29:59,360
Speaker 1: Analytic had a very demonstrable role in in the election

491
00:29:59,400 --> 00:30:03,320
Speaker 1: of trum in America and in Brexit in Britain. And

492
00:30:03,360 --> 00:30:06,080
Speaker 1: going back to the Gates conspiracy theories as well, you

493
00:30:06,120 --> 00:30:09,440
Speaker 1: have to wonder if if there's something in the angles

494
00:30:09,440 --> 00:30:13,760
Speaker 1: sphere liberal culture which makes it particularly susceptible to this

495
00:30:14,520 --> 00:30:17,520
Speaker 1: utter disturbance of truth and people. And when you see

496
00:30:17,520 --> 00:30:20,200
Speaker 1: people fighting in the supermarket, you know, one wearing a

497
00:30:20,200 --> 00:30:23,280
Speaker 1: mask and the other saying that they're you know, constitutional

498
00:30:23,400 --> 00:30:26,360
Speaker 1: rights are being perverted by being asked to wear a mask,

499
00:30:26,400 --> 00:30:28,080
Speaker 1: I think. And it's like this is almost like a

500
00:30:28,160 --> 00:30:32,520
Speaker 1: parody of of of the kind of informed debate that

501
00:30:32,600 --> 00:30:34,920
Speaker 1: the Framers would have wanted. And yet it's hard to know,

502
00:30:34,960 --> 00:30:37,040
Speaker 1: how do we want to know? How do we come

503
00:30:37,040 --> 00:30:42,680
Speaker 1: back from this? How do these divisions and extraordinary bifurcated

504
00:30:42,760 --> 00:30:44,520
Speaker 1: view of the world in the same country, in the

505
00:30:44,560 --> 00:30:48,280
Speaker 1: same supermarket, How do we possibly get past this? I

506
00:30:48,280 --> 00:30:51,240
Speaker 1: think it's just levels of denial, you know. I think

507
00:30:51,400 --> 00:30:54,520
Speaker 1: for Americans, especially for people in their fifties, they have

508
00:30:54,760 --> 00:30:59,560
Speaker 1: only known prosperity only even when it was like bad,

509
00:31:00,240 --> 00:31:05,719
Speaker 1: it wasn't like the depression where their parents maybe knew that. Uh.

510
00:31:05,720 --> 00:31:08,760
Speaker 1: And it's because you almost see, like the thing that

511
00:31:08,840 --> 00:31:11,800
Speaker 1: Americans don't want to accept is that things are so

512
00:31:11,880 --> 00:31:16,080
Speaker 1: bad that they actually have to cease their normal way

513
00:31:16,120 --> 00:31:19,160
Speaker 1: of living, and that I think that's just been the

514
00:31:19,200 --> 00:31:21,400
Speaker 1: hardest pill for some people to swallow. I think that's

515
00:31:21,400 --> 00:31:24,920
Speaker 1: why there's this insistence on like being served again. I mean,

516
00:31:24,920 --> 00:31:27,200
Speaker 1: whether you want to take out the racial dynamics of

517
00:31:27,200 --> 00:31:29,880
Speaker 1: that or not, but if you just go completely to

518
00:31:30,000 --> 00:31:35,400
Speaker 1: this like moneyed consumer mindset, it's just like I normal

519
00:31:35,520 --> 00:31:37,480
Speaker 1: is me going out. Normal is me going here to

520
00:31:37,520 --> 00:31:39,600
Speaker 1: give someone money. Normal is me going there to pay

521
00:31:39,680 --> 00:31:41,959
Speaker 1: someone money. And then I get this thing and then

522
00:31:42,000 --> 00:31:43,959
Speaker 1: I just spend my money in all these places. And

523
00:31:44,000 --> 00:31:47,280
Speaker 1: that's what is that makes me feel normal. And I

524
00:31:47,320 --> 00:31:50,120
Speaker 1: think when you you're confronted with a thing of like, wait,

525
00:31:50,160 --> 00:31:53,200
Speaker 1: hold on, my government is actually the most backwards thing

526
00:31:53,360 --> 00:31:56,440
Speaker 1: on the planet right now. Wait, A lot of the

527
00:31:56,520 --> 00:32:00,600
Speaker 1: history I've been taught is a lie. Wait. Other some people,

528
00:32:00,600 --> 00:32:02,800
Speaker 1: depending on how much they're engaging, they could have their

529
00:32:02,800 --> 00:32:06,720
Speaker 1: realities broken on like fifty different dimensions simultaneously, and I

530
00:32:06,720 --> 00:32:08,840
Speaker 1: think that may for some person be like a, now,

531
00:32:08,960 --> 00:32:11,200
Speaker 1: this is a hoax. I'm not even a close to

532
00:32:11,280 --> 00:32:17,560
Speaker 1: thinking something is wrong in my like very very comfortable existence. Yea. Yeah.

533
00:32:18,440 --> 00:32:20,360
Speaker 1: I don't know if it's like that with England because

534
00:32:20,400 --> 00:32:22,200
Speaker 1: I know, like because I think World War two, the

535
00:32:22,280 --> 00:32:24,280
Speaker 1: U s comes back and everyone's like, yeah, man, fucking

536
00:32:24,320 --> 00:32:27,800
Speaker 1: the US fucking did that. Man, You're welcome Earth. And

537
00:32:27,840 --> 00:32:32,240
Speaker 1: I think that that attitude just is like we're a

538
00:32:32,320 --> 00:32:35,640
Speaker 1: lot of people are still righting that wave, like in

539
00:32:35,760 --> 00:32:38,480
Speaker 1: terms of nationalism. And I think like, well in England,

540
00:32:38,520 --> 00:32:41,200
Speaker 1: like it was different like England was in the war,

541
00:32:41,680 --> 00:32:44,479
Speaker 1: you know, the US aside from Pearl Harbor there this

542
00:32:44,680 --> 00:32:48,600
Speaker 1: it didn't come to the mainland doorstep where people go whoa.

543
00:32:48,760 --> 00:32:51,680
Speaker 1: The place I thought was like like the sanctity of

544
00:32:51,760 --> 00:32:55,400
Speaker 1: my land had been violated by has not happened. So

545
00:32:55,480 --> 00:32:58,440
Speaker 1: there's I think that's another big thing to get over,

546
00:32:58,520 --> 00:33:01,280
Speaker 1: is that that's even a situation. It's possible in your

547
00:33:01,280 --> 00:33:04,280
Speaker 1: existence as in America. Well, it's funny. I mean the

548
00:33:04,560 --> 00:33:07,120
Speaker 1: cliche when I was growing up in England was always

549
00:33:07,160 --> 00:33:09,360
Speaker 1: that Americans don't have a sense of humor, which I

550
00:33:09,360 --> 00:33:13,320
Speaker 1: think your show definitively proves is not the case. But

551
00:33:13,320 --> 00:33:15,400
Speaker 1: but I mean, in a sense, in a sense, it's

552
00:33:15,520 --> 00:33:19,200
Speaker 1: it's what you're saying is is really interesting because you know,

553
00:33:19,520 --> 00:33:22,080
Speaker 1: we we I mean I hardly count myself as we

554
00:33:22,200 --> 00:33:24,920
Speaker 1: after after living for a decade abroad. But British people

555
00:33:25,720 --> 00:33:29,040
Speaker 1: have been accustomed to the idea of the British Empire

556
00:33:29,480 --> 00:33:32,520
Speaker 1: in terminal decline for more than a hundred years, and

557
00:33:32,560 --> 00:33:37,200
Speaker 1: so our national mentality is one of black humor and irony,

558
00:33:37,320 --> 00:33:40,320
Speaker 1: gallows humor, making fun of ourselves. I mean, it was

559
00:33:40,360 --> 00:33:43,240
Speaker 1: so hard for me moving to the States to learn

560
00:33:43,280 --> 00:33:45,720
Speaker 1: like the skills of self presentation and not telling everyone

561
00:33:45,760 --> 00:33:47,080
Speaker 1: when I assume as I met them that I was

562
00:33:47,200 --> 00:33:53,560
Speaker 1: completely imbecilic and incompetent um. But but you know, I think,

563
00:33:53,560 --> 00:33:55,880
Speaker 1: I think it's interesting. It's a moment of of of

564
00:33:56,080 --> 00:34:00,320
Speaker 1: humility on many fronts for the US, and it's really

565
00:34:00,360 --> 00:34:02,720
Speaker 1: really hard to know how to how to how to

566
00:34:03,120 --> 00:34:05,680
Speaker 1: how to stomach that, and how to how to respond.

567
00:34:05,720 --> 00:34:08,120
Speaker 1: And I think I think anger and denial. It's obviously,

568
00:34:08,680 --> 00:34:12,000
Speaker 1: you know, it's obviously kind of a human response, but

569
00:34:12,160 --> 00:34:15,200
Speaker 1: it's not a sustainable one. Yeah, And to that point,

570
00:34:15,239 --> 00:34:18,960
Speaker 1: like you said, the tone of the UK is sort

571
00:34:19,000 --> 00:34:22,480
Speaker 1: of yeah, hey that empire baby, it's coming down. Huh.

572
00:34:23,040 --> 00:34:25,360
Speaker 1: It was a good run, whereas like in the US,

573
00:34:25,440 --> 00:34:30,120
Speaker 1: man there's still this fucking like they think it's ninety

574
00:34:30,239 --> 00:34:34,719
Speaker 1: five or some ship. It's really this we've dominated the

575
00:34:34,760 --> 00:34:37,480
Speaker 1: whole earth because like you even hear how other people

576
00:34:37,520 --> 00:34:41,680
Speaker 1: will even not like a separate from this pandemic and everything,

577
00:34:41,960 --> 00:34:45,480
Speaker 1: how just Americans very flippantly. And this happens in every country.

578
00:34:45,480 --> 00:34:48,840
Speaker 1: But you see Americans immediately talking like if it's a

579
00:34:48,840 --> 00:34:51,680
Speaker 1: country they have never heard of, it's just like, oh, yeah,

580
00:34:51,680 --> 00:34:53,640
Speaker 1: that's got to be horrible and awful, blah blah blah.

581
00:34:54,520 --> 00:34:57,359
Speaker 1: And it's almost like when without even thinking that, it's

582
00:34:57,360 --> 00:34:59,359
Speaker 1: just like goes on this solo of about like because

583
00:34:59,360 --> 00:35:02,000
Speaker 1: everything is better at and so that I think that

584
00:35:02,200 --> 00:35:07,960
Speaker 1: frantic like proving of like y USA number one, anytime

585
00:35:08,000 --> 00:35:12,360
Speaker 1: that comes into question, that's that's a real that that's

586
00:35:12,440 --> 00:35:16,400
Speaker 1: too disruptive for certain Americans entire sort of you know,

587
00:35:16,640 --> 00:35:19,200
Speaker 1: self created like value that of of like what it

588
00:35:19,200 --> 00:35:22,719
Speaker 1: means to be American. Mm hmm. Well we'll see what

589
00:35:22,760 --> 00:35:25,440
Speaker 1: it means to be American. Because Disney World has now

590
00:35:25,480 --> 00:35:28,040
Speaker 1: been open for a while. We've seen the videos come

591
00:35:28,080 --> 00:35:35,000
Speaker 1: out showing the social distancing rules all being followed fully.

592
00:35:35,040 --> 00:35:40,520
Speaker 1: Everybody's know, everybody's crowding and not always wearing masks and

593
00:35:40,680 --> 00:35:45,359
Speaker 1: sometimes and everybody has to get underneath the the same

594
00:35:45,520 --> 00:35:49,760
Speaker 1: tarp or whatever. But just the day after Disney World's

595
00:35:49,800 --> 00:35:54,799
Speaker 1: reopening weekend, uh, we learned that Hong Kong Disneyland would

596
00:35:54,840 --> 00:35:58,160
Speaker 1: be closing again because they're fifty two new cases of

597
00:35:58,239 --> 00:36:02,440
Speaker 1: COVID there because they're in the country or in Hong

598
00:36:02,520 --> 00:36:06,720
Speaker 1: Kong Disney. I think Hong Kong Disney. Oh maybe maybe

599
00:36:06,760 --> 00:36:09,800
Speaker 1: it's let me check, Actually no, it's probably it was

600
00:36:09,840 --> 00:36:12,839
Speaker 1: probably just Hong Kong because they're doing the right thing

601
00:36:12,880 --> 00:36:16,880
Speaker 1: by saying, oh wait, new cases cut to Florida fifteen thousand,

602
00:36:16,920 --> 00:36:19,719
Speaker 1: three hundred. It was just in the whole county. It

603
00:36:19,760 --> 00:36:23,240
Speaker 1: was in Hong Kong. It was in the whole country. Yeah.

604
00:36:23,520 --> 00:36:30,239
Speaker 1: So um, so, like what do we do right? You know,

605
00:36:30,280 --> 00:36:35,319
Speaker 1: Like it's just such a it only ends with the

606
00:36:35,520 --> 00:36:39,640
Speaker 1: car fully crashing into the wall, Like and right now

607
00:36:40,120 --> 00:36:43,680
Speaker 1: it's going so slow that like the bumper is starting

608
00:36:43,719 --> 00:36:48,080
Speaker 1: to crumple against the wall, but the car crash is

609
00:36:48,320 --> 00:36:51,759
Speaker 1: we are fully engaged in the car crash. Uh, And

610
00:36:51,800 --> 00:36:53,359
Speaker 1: I think a lot of people are in the back

611
00:36:53,400 --> 00:36:56,120
Speaker 1: seat and because the shock wave has not reached them

612
00:36:56,120 --> 00:36:59,520
Speaker 1: back there too, it's also like obscure, like whoa, that

613
00:36:59,840 --> 00:37:04,120
Speaker 1: was pretty close where it's it's really dark, and when

614
00:37:04,120 --> 00:37:06,160
Speaker 1: you see this kind of decision making, like it's hard

615
00:37:06,200 --> 00:37:09,799
Speaker 1: to ever think that there's any way to be optimistic

616
00:37:09,800 --> 00:37:13,440
Speaker 1: about this unless like people really are just like, you know,

617
00:37:13,560 --> 00:37:16,560
Speaker 1: have the discipline to say, I'm not leaving until scientists

618
00:37:16,600 --> 00:37:20,160
Speaker 1: are telling me they're like effective fully effective treatments or

619
00:37:20,160 --> 00:37:22,719
Speaker 1: a vaccine or something, because this other stuff is just

620
00:37:22,800 --> 00:37:25,439
Speaker 1: so grim and it's just like people apparently too many

621
00:37:25,440 --> 00:37:29,080
Speaker 1: people don't trust the leadership enough to say like or

622
00:37:29,239 --> 00:37:31,399
Speaker 1: used to apply the thinking of like, well, why would

623
00:37:31,440 --> 00:37:35,200
Speaker 1: it be open if it wasn't safe? Right, Yeah. And

624
00:37:35,239 --> 00:37:38,600
Speaker 1: it's interesting in comparison with Hong Kong, which obviously has

625
00:37:38,680 --> 00:37:42,480
Speaker 1: just gone through its own, you know, terrible political crisis

626
00:37:42,680 --> 00:37:47,399
Speaker 1: where it's um it's political system was basically canceled by

627
00:37:47,480 --> 00:37:51,200
Speaker 1: China and it's now you know, a crime punishable by

628
00:37:51,280 --> 00:37:54,799
Speaker 1: years and years of imprisonment on the mainland, introduce the

629
00:37:54,880 --> 00:37:57,680
Speaker 1: party and so you know, but when you look at

630
00:37:57,880 --> 00:38:01,359
Speaker 1: China and you look at how you know, apparently who

631
00:38:01,440 --> 00:38:04,320
Speaker 1: knows about the beginning of the virus, but the response

632
00:38:04,360 --> 00:38:07,880
Speaker 1: more recently, like it's it's a it's a strong central

633
00:38:08,360 --> 00:38:12,560
Speaker 1: authoritarian country and as a result, like its ability to

634
00:38:12,680 --> 00:38:16,440
Speaker 1: impose order on its citizens is is greater than you know,

635
00:38:16,560 --> 00:38:22,279
Speaker 1: federal republican United States. Um, and it's it's hard to know.

636
00:38:22,360 --> 00:38:24,719
Speaker 1: I mean, it's what scares me is that people will

637
00:38:24,719 --> 00:38:28,480
Speaker 1: start to look with envy at these more authoritarian systems.

638
00:38:28,480 --> 00:38:30,440
Speaker 1: They well, you know, they got it right on on

639
00:38:30,560 --> 00:38:33,440
Speaker 1: COVID or they have social order, and that's a really

640
00:38:33,480 --> 00:38:37,319
Speaker 1: slippery slope. So I mean, I'm really hopeful, but also

641
00:38:37,440 --> 00:38:41,160
Speaker 1: not knowing what the path is to maintain what's good

642
00:38:41,239 --> 00:38:45,280
Speaker 1: about you know, liberal democracy at the same time, as

643
00:38:45,120 --> 00:38:49,400
Speaker 1: as as getting past this mentality of like totally disputing

644
00:38:49,440 --> 00:38:54,400
Speaker 1: objective facts, dismissing all experts, crushing some groups at the

645
00:38:54,400 --> 00:38:57,000
Speaker 1: expense of others. I mean, it's it's really it is

646
00:38:57,000 --> 00:39:00,680
Speaker 1: just it's a scarily unstable moment. And also America is

647
00:39:00,719 --> 00:39:04,160
Speaker 1: losing its moral authority. There was Mike Pompeo from the

648
00:39:04,200 --> 00:39:08,400
Speaker 1: State Department was criticizing China's policy towards Hong Kong, and

649
00:39:08,480 --> 00:39:16,480
Speaker 1: one of the deputy Chinese foreign ministers tweeted, I can't breathe, right, yeah, yeah,

650
00:39:16,640 --> 00:39:19,960
Speaker 1: then now what what do you do? And what? Yeah? Meanwhile,

651
00:39:19,960 --> 00:39:25,320
Speaker 1: the president's strategy for dealing with this spike in coronavirus

652
00:39:25,560 --> 00:39:29,720
Speaker 1: cases and deaths seems to be to talk shit about

653
00:39:29,840 --> 00:39:33,080
Speaker 1: Dr Fauci. That seems to be what he's kind of going,

654
00:39:33,920 --> 00:39:38,480
Speaker 1: going hard towards. He sent out an oppo research packet

655
00:39:38,600 --> 00:39:42,719
Speaker 1: to various journalists about that over the over the weekend,

656
00:39:42,880 --> 00:39:46,640
Speaker 1: so it's on Twitter. Apparently he's he's gulfed more than

657
00:39:46,680 --> 00:39:49,560
Speaker 1: he's met with Fouci since March, which doesn't seem like

658
00:39:50,520 --> 00:39:53,560
Speaker 1: most But as a shitty golfer us the guy that

659
00:39:53,600 --> 00:39:55,720
Speaker 1: the guy sucks a golfing, So what do you expect

660
00:39:55,760 --> 00:39:59,160
Speaker 1: him to do? You? He grabbed a sand wedge when

661
00:39:59,160 --> 00:40:05,160
Speaker 1: we were teaming off. What then said? What are the

662
00:40:05,200 --> 00:40:08,640
Speaker 1: only things to like about Mike Bloomberg's presidential candidacy? Was that,

663
00:40:08,680 --> 00:40:10,239
Speaker 1: I don't know if I'm sure you guys saw that

664
00:40:10,320 --> 00:40:13,879
Speaker 1: video of Donald Trump crawling around on all fours trying

665
00:40:13,920 --> 00:40:17,000
Speaker 1: to get the golf ball and anyway it was, it

666
00:40:17,040 --> 00:40:22,200
Speaker 1: was it was a very very amusing takedown. I actually

667
00:40:22,239 --> 00:40:24,960
Speaker 1: didn't see that. No, I will go look that up.

668
00:40:25,440 --> 00:40:29,680
Speaker 1: That band from us here. The premises that that Trump says.

669
00:40:29,960 --> 00:40:33,879
Speaker 1: One of Trump's attack lines on Bloomberg is um that

670
00:40:34,239 --> 00:40:37,680
Speaker 1: Bloomberg asked Trump to build some golf course in New

671
00:40:37,760 --> 00:40:41,319
Speaker 1: York or something, and then Bloomberg said, and that was

672
00:40:41,360 --> 00:40:43,560
Speaker 1: the only thing we'd ever asked him to build. And

673
00:40:43,560 --> 00:40:47,320
Speaker 1: there's a picture of him crawling around trying to treat

674
00:40:47,400 --> 00:40:50,800
Speaker 1: this golf bullish. I thought it was pretty good. Meanwhile,

675
00:40:50,800 --> 00:40:53,400
Speaker 1: we're crashing. We're in a car crash while we're laughing.

676
00:40:53,840 --> 00:40:56,279
Speaker 1: Let's take another break and we'll come back with our

677
00:40:56,600 --> 00:41:10,799
Speaker 1: wits premises round up and we're back. Yeah, let's talk

678
00:41:10,840 --> 00:41:18,279
Speaker 1: about this white supremacist who was threatening violence online and

679
00:41:18,360 --> 00:41:22,480
Speaker 1: was caught by police with guns and bombs in his car. Yeah,

680
00:41:22,560 --> 00:41:24,480
Speaker 1: I mean to be fair, like, I don't know, if

681
00:41:24,480 --> 00:41:27,160
Speaker 1: you put white supremacists at the very top of his

682
00:41:27,200 --> 00:41:31,560
Speaker 1: tender profile, he might put flat earther Q and on person.

683
00:41:31,680 --> 00:41:34,440
Speaker 1: But it all it's all racist in the end. Uh

684
00:41:34,600 --> 00:41:37,040
Speaker 1: In all roads tend to lead to white supremacy. With

685
00:41:37,040 --> 00:41:39,000
Speaker 1: most of these political ideologies, if you want to call

686
00:41:39,040 --> 00:41:43,439
Speaker 1: them ideologies. Uh So, yeah, this guy. You know, we've

687
00:41:43,480 --> 00:41:47,440
Speaker 1: seen a lot of these far right people, particularly who

688
00:41:47,480 --> 00:41:49,960
Speaker 1: would get caught up in some of the conspiratorial stuff,

689
00:41:51,040 --> 00:41:55,120
Speaker 1: really making good on threats they make online. Um, you know,

690
00:41:55,160 --> 00:41:57,600
Speaker 1: there's like a woman who like and they live stream

691
00:41:57,640 --> 00:41:59,879
Speaker 1: this stuff too because they want to show everybody else.

692
00:42:00,080 --> 00:42:03,080
Speaker 1: Like a woman who was live streaming her driving to

693
00:42:03,160 --> 00:42:05,680
Speaker 1: like take out Joe Biden and she got like arrested.

694
00:42:05,719 --> 00:42:07,280
Speaker 1: I think she had a bunch of knives or something.

695
00:42:07,280 --> 00:42:09,360
Speaker 1: And then there was like a dad, I believe in

696
00:42:09,400 --> 00:42:11,719
Speaker 1: Massachusetts or somewhere. He had his kids in the car

697
00:42:12,239 --> 00:42:14,600
Speaker 1: and was in a high speed chase with the police

698
00:42:14,719 --> 00:42:17,080
Speaker 1: because he had believed the president was trying to communicate

699
00:42:17,080 --> 00:42:19,640
Speaker 1: to him through the radio and was saying that like

700
00:42:19,719 --> 00:42:23,200
Speaker 1: he really needed a miracle President Trump, like while you know,

701
00:42:24,120 --> 00:42:27,480
Speaker 1: beyond driving record like like over a hundred miles an

702
00:42:27,520 --> 00:42:31,160
Speaker 1: hour type ship at certain points. So this guy, you know,

703
00:42:31,200 --> 00:42:35,160
Speaker 1: So I think there's in certain circles people seem to

704
00:42:35,200 --> 00:42:39,160
Speaker 1: be very serious when they're when they're talking about whatever

705
00:42:39,200 --> 00:42:41,799
Speaker 1: their worldview is or who they believe the villains are

706
00:42:41,840 --> 00:42:44,400
Speaker 1: in this Uh. There was a man, thirty two year

707
00:42:44,400 --> 00:42:48,719
Speaker 1: old guy from Pennsylvania who has now been you know, arrested.

708
00:42:48,760 --> 00:42:52,960
Speaker 1: He was making threats about talking about like attacking a

709
00:42:53,520 --> 00:42:56,640
Speaker 1: treasury building in Harrisburg and then going to d C

710
00:42:56,920 --> 00:43:00,239
Speaker 1: to shoot up the CIA headquarters and like tay because

711
00:43:00,280 --> 00:43:03,520
Speaker 1: many of them out before I'm gunned down. Essentially, the

712
00:43:03,600 --> 00:43:07,480
Speaker 1: police spotted his car uh and pulled him over, and

713
00:43:07,480 --> 00:43:09,920
Speaker 1: he said he had guns and supplies to make M

714
00:43:10,000 --> 00:43:13,440
Speaker 1: A D type fireworks, but they found you know, ammonium

715
00:43:13,520 --> 00:43:17,040
Speaker 1: nitrate your reunite like shipped to make bombs uh, and

716
00:43:17,719 --> 00:43:21,239
Speaker 1: he was headed two. It seems seems like to make

717
00:43:21,280 --> 00:43:24,640
Speaker 1: good on this promise. Um. And this is just sort

718
00:43:24,680 --> 00:43:30,200
Speaker 1: of part of this uh, this sort of these actions

719
00:43:30,200 --> 00:43:34,080
Speaker 1: that are really happening in in physical space now. And

720
00:43:34,120 --> 00:43:36,640
Speaker 1: I mean like that this guy was already online saying things,

721
00:43:36,640 --> 00:43:41,120
Speaker 1: taking shots at like black lives matter, black people, you know, scientists,

722
00:43:41,280 --> 00:43:44,759
Speaker 1: anyone against Trump. So it was one of these things

723
00:43:44,800 --> 00:43:46,920
Speaker 1: where you know, I think we also have a pattern

724
00:43:47,000 --> 00:43:49,480
Speaker 1: I think to the point you're making on about Cambridge Analytica,

725
00:43:49,560 --> 00:43:54,560
Speaker 1: where that I'm sure there's tremendous overlap with that, the

726
00:43:54,719 --> 00:43:58,239
Speaker 1: Facebook being the like really great breeding ground for a

727
00:43:58,239 --> 00:44:01,719
Speaker 1: lot of these ways of seeing the world that are

728
00:44:01,800 --> 00:44:05,000
Speaker 1: compelling people to try and commit violent acts or actually

729
00:44:05,360 --> 00:44:08,319
Speaker 1: commit violent acts. Yeah. And also coming back to the

730
00:44:08,360 --> 00:44:13,200
Speaker 1: idea of the oligarchy, I mean, Facebook and YouTube have

731
00:44:13,400 --> 00:44:16,840
Speaker 1: all but replaced the media. I mean we in the

732
00:44:16,880 --> 00:44:21,400
Speaker 1: podcasting world as some of the last holdouts. I think, um,

733
00:44:21,440 --> 00:44:24,959
Speaker 1: and you know, there's a billion billion, multi multibillion dollar

734
00:44:25,040 --> 00:44:29,279
Speaker 1: companies who control the flow of information like no other

735
00:44:30,040 --> 00:44:32,840
Speaker 1: company in the history of the world. Let lower media

736
00:44:33,400 --> 00:44:36,520
Speaker 1: make billions and billions of dollars from advertisements against the

737
00:44:36,560 --> 00:44:40,560
Speaker 1: content they host, and continue to be able to claim

738
00:44:40,719 --> 00:44:43,560
Speaker 1: they don't have any responsibility for what happens on their platforms.

739
00:44:43,600 --> 00:44:47,840
Speaker 1: And I mean I find it pretty close to sickening actually,

740
00:44:47,880 --> 00:44:52,200
Speaker 1: which is like, you know, I mean that the argument

741
00:44:52,239 --> 00:44:56,200
Speaker 1: would be, oh, if you regulate what's on these platforms,

742
00:44:56,239 --> 00:44:59,480
Speaker 1: you know, you confess that they're publishers, and then you

743
00:44:59,520 --> 00:45:01,880
Speaker 1: take response sibility for their content. And if you take

744
00:45:01,920 --> 00:45:04,839
Speaker 1: responsibility for the content, you're no longer a platform, and

745
00:45:04,960 --> 00:45:07,839
Speaker 1: that makes free speech much harder and in fact, maybe

746
00:45:07,840 --> 00:45:10,719
Speaker 1: you never would have had an Arab spring or the

747
00:45:10,800 --> 00:45:13,440
Speaker 1: beginning of you know, the Black Lives Matter protests on

748
00:45:13,520 --> 00:45:16,680
Speaker 1: social media if these platforms has to take responsibility for

749
00:45:16,760 --> 00:45:18,880
Speaker 1: all of the content that they hot. So it's not

750
00:45:18,920 --> 00:45:22,960
Speaker 1: like a straightforward, easy answer, But I do think that

751
00:45:22,960 --> 00:45:27,440
Speaker 1: there's something extremely venal and greedy about the people, the

752
00:45:27,520 --> 00:45:31,160
Speaker 1: richest people in society who own these companies not making

753
00:45:31,239 --> 00:45:34,880
Speaker 1: some kind of sacrifices to ensure that you know, this

754
00:45:35,440 --> 00:45:38,799
Speaker 1: this mass brainwashing and violence. I mean, as you say,

755
00:45:38,840 --> 00:45:41,200
Speaker 1: like there, I'm sure, in fact we know there's a

756
00:45:41,239 --> 00:45:45,799
Speaker 1: hardcore of violent white supremacists neo Nazi extremists, but I

757
00:45:45,800 --> 00:45:49,800
Speaker 1: think there's also a bunch of these mildly unhinged, tragic

758
00:45:49,920 --> 00:45:53,359
Speaker 1: characters who who finds something to believe in and get

759
00:45:53,400 --> 00:45:57,359
Speaker 1: seduced and behave in ways which a completely alien even

760
00:45:57,360 --> 00:46:00,520
Speaker 1: to them. And I think it's really really verse and

761
00:46:00,600 --> 00:46:04,160
Speaker 1: toxic and yet another thing I don't really see any

762
00:46:04,239 --> 00:46:07,680
Speaker 1: any particular way out of for the time being. Yeah,

763
00:46:07,840 --> 00:46:11,440
Speaker 1: and then we talked about an article last week that

764
00:46:11,680 --> 00:46:16,160
Speaker 1: was really like in a very serious way threatening, claiming

765
00:46:16,200 --> 00:46:19,000
Speaker 1: civil war was inevitable and just like all these different

766
00:46:19,040 --> 00:46:24,440
Speaker 1: scenarios were after the election, they just see one side

767
00:46:24,520 --> 00:46:26,560
Speaker 1: or the other. It was pretty terrifying. It was a

768
00:46:26,680 --> 00:46:31,279
Speaker 1: right wing news outlet um Well in El Paso. The

769
00:46:31,320 --> 00:46:34,800
Speaker 1: Walmart shooter, I mean it's no coincidence that Trump chose

770
00:46:35,000 --> 00:46:38,200
Speaker 1: El Paso to basically kick off his re election re

771
00:46:38,239 --> 00:46:41,120
Speaker 1: election campaign a couple of years ago, and then shortly

772
00:46:41,160 --> 00:46:45,600
Speaker 1: after that, this this shooter drove eight hours from from

773
00:46:45,640 --> 00:46:48,880
Speaker 1: somewhere near Dallas to go and kill people at the

774
00:46:49,480 --> 00:46:52,960
Speaker 1: at the Walmart in El Paso, which is largely frequented

775
00:46:52,960 --> 00:46:57,080
Speaker 1: by Hispanic people and day trippers from Juarez. And it's

776
00:46:57,080 --> 00:46:59,719
Speaker 1: this language of the great replacement and all of this

777
00:47:00,000 --> 00:47:04,400
Speaker 1: sort of online hate which you manifests itself, and people

778
00:47:04,400 --> 00:47:06,759
Speaker 1: in Huires, you know, who've always seen El Passo on

779
00:47:06,760 --> 00:47:08,560
Speaker 1: the other side of this fence as a place of

780
00:47:09,000 --> 00:47:12,800
Speaker 1: you know, safety and respite. Fifty people have been murdered

781
00:47:12,880 --> 00:47:15,279
Speaker 1: this month in July and Juires, by the way, they

782
00:47:15,320 --> 00:47:19,360
Speaker 1: were so horrified apparently by what happened in El Passo

783
00:47:19,440 --> 00:47:23,920
Speaker 1: because it was like even there, even this US, this

784
00:47:24,120 --> 00:47:28,120
Speaker 1: like shining city across the fence, where with all its problems,

785
00:47:28,200 --> 00:47:32,239
Speaker 1: like basically you're you're safe from arbitrary violence and death

786
00:47:32,280 --> 00:47:34,919
Speaker 1: as you go about your business, you know, is under

787
00:47:34,960 --> 00:47:39,520
Speaker 1: attack from from craze shooters. And yeah, it's distressing, but

788
00:47:39,520 --> 00:47:41,600
Speaker 1: I think Internet plays a plays a big role in

789
00:47:41,640 --> 00:47:44,239
Speaker 1: the unregulated Internet. Well, I think it's like, yeah, the

790
00:47:44,840 --> 00:47:49,359
Speaker 1: propaganda highs is pr propaganda highs waving like wearing off

791
00:47:50,680 --> 00:47:55,160
Speaker 1: where like to anyone's point, you as or someone in Mexico,

792
00:47:55,560 --> 00:47:59,880
Speaker 1: the perception of this country has been so carefully manufactured

793
00:48:00,080 --> 00:48:03,400
Speaker 1: and built on the backs of like great media offerings

794
00:48:03,960 --> 00:48:07,759
Speaker 1: that creates this whole perception. But we're getting to that

795
00:48:07,840 --> 00:48:12,040
Speaker 1: point where the real problems have gone unaddressed for so

796
00:48:12,160 --> 00:48:16,080
Speaker 1: long that that veneer has just worn completely down. And

797
00:48:16,120 --> 00:48:18,680
Speaker 1: I think that's also one of the reasons why some people,

798
00:48:18,680 --> 00:48:22,440
Speaker 1: even on the right, are also just as incensed by everything,

799
00:48:22,480 --> 00:48:25,759
Speaker 1: because they probably also are slowly being like, but I

800
00:48:25,840 --> 00:48:30,360
Speaker 1: thought everything was okay okay here, and everything was gonna

801
00:48:30,400 --> 00:48:33,560
Speaker 1: be okay here, and hardship is something I would never

802
00:48:33,800 --> 00:48:37,000
Speaker 1: know for a very specific group of Americans, because that's

803
00:48:37,120 --> 00:48:39,880
Speaker 1: most people don't think like exactly that. But there is

804
00:48:39,880 --> 00:48:41,680
Speaker 1: that thing too where you're looking at it, like, hold

805
00:48:41,680 --> 00:48:44,240
Speaker 1: on a second. If I'm on paper, if I'm willing

806
00:48:44,239 --> 00:48:47,080
Speaker 1: to not think that the CDC is lying about this

807
00:48:47,239 --> 00:48:50,960
Speaker 1: information and depths, I would find myself supporting a party

808
00:48:51,000 --> 00:48:54,600
Speaker 1: that is completely lost it. And I'm only now coming

809
00:48:54,640 --> 00:48:59,359
Speaker 1: around too. It's yeah, I think there's again many many

810
00:48:59,400 --> 00:49:01,680
Speaker 1: truths will be coming clear too. But there's also that

811
00:49:01,760 --> 00:49:04,080
Speaker 1: piece that I think many, you know, many of us

812
00:49:04,160 --> 00:49:08,080
Speaker 1: buy into the idea of the exceptional American existent American

813
00:49:08,120 --> 00:49:12,839
Speaker 1: exceptionalism is yeah, just with regards to kind of the

814
00:49:12,880 --> 00:49:16,120
Speaker 1: tactics of the right, and they're being this massive double standard.

815
00:49:16,760 --> 00:49:20,240
Speaker 1: Does seem like like I noticed on during the Black

816
00:49:20,239 --> 00:49:23,160
Speaker 1: Lives Matter protests, and particularly like a couple of the

817
00:49:23,239 --> 00:49:27,720
Speaker 1: days when local Los Angeles media was actually paying attention

818
00:49:27,760 --> 00:49:30,440
Speaker 1: to them, there was a guy who drove through a

819
00:49:30,480 --> 00:49:34,160
Speaker 1: crowd in a Mini Cooper but like there there's video

820
00:49:34,480 --> 00:49:38,120
Speaker 1: of it happening live and he misses a four year

821
00:49:38,160 --> 00:49:42,680
Speaker 1: old girl by like an an inch legitimately, and you know,

822
00:49:42,719 --> 00:49:46,040
Speaker 1: they they chased him down, they put him in handcuffs,

823
00:49:46,080 --> 00:49:50,319
Speaker 1: but like, you never really heard anything else about that.

824
00:49:50,400 --> 00:49:55,600
Speaker 1: And there's just all sorts of car ramming uh instances

825
00:49:55,640 --> 00:50:00,239
Speaker 1: and videos and um, this is one of the those

826
00:50:00,280 --> 00:50:04,279
Speaker 1: things that it seems like it's an open like on

827
00:50:04,320 --> 00:50:09,160
Speaker 1: the right. So uh. In January, the Daily Callers shared

828
00:50:09,200 --> 00:50:13,280
Speaker 1: a video of several vehicle rammings, writing study the technique,

829
00:50:13,280 --> 00:50:16,520
Speaker 1: it may prove useful in the next four years and

830
00:50:17,360 --> 00:50:22,760
Speaker 1: that was shared by Fox Nation. The GOP proposed bills

831
00:50:22,800 --> 00:50:26,960
Speaker 1: to make it possible to shield drivers who hit protesters

832
00:50:27,040 --> 00:50:31,719
Speaker 1: from charges. Um So, it just seems like recent that

833
00:50:31,800 --> 00:50:41,040
Speaker 1: was in so off after Charlotte's Ville. Um So, it's

834
00:50:41,080 --> 00:50:44,160
Speaker 1: just it's one of those law though none of those

835
00:50:44,160 --> 00:50:49,279
Speaker 1: are law, but the intent is clearly there because it's

836
00:50:49,320 --> 00:50:53,640
Speaker 1: another way of deracializing, you know, racial violence and like

837
00:50:53,760 --> 00:50:57,680
Speaker 1: making that law. Yeah, um So, I don't know, it

838
00:50:57,880 --> 00:51:01,720
Speaker 1: just kind of goes with this. The right is either

839
00:51:02,320 --> 00:51:05,759
Speaker 1: planning like this is something that is imminent that they're

840
00:51:05,800 --> 00:51:10,000
Speaker 1: going to you know, stage some large scale attack or

841
00:51:10,520 --> 00:51:13,719
Speaker 1: you know, already in their early stages of that, and

842
00:51:14,360 --> 00:51:17,600
Speaker 1: we're just kind of holding them to a different standard

843
00:51:17,719 --> 00:51:21,520
Speaker 1: because I don't know, because we always have held white

844
00:51:21,520 --> 00:51:27,200
Speaker 1: supremacists to uh lower standard than other forms of terrorists,

845
00:51:27,239 --> 00:51:31,080
Speaker 1: like you know, the Oklahoma City bombing which killed a

846
00:51:31,120 --> 00:51:36,360
Speaker 1: bunch of children in a in a daycare center and people,

847
00:51:37,239 --> 00:51:39,960
Speaker 1: you know, there was there wasn't some like massive war

848
00:51:40,160 --> 00:51:44,160
Speaker 1: on white supremacy after after that, or on right wing

849
00:51:44,200 --> 00:51:48,279
Speaker 1: homegrown terror cells. It was just kind of, you know,

850
00:51:48,440 --> 00:51:51,480
Speaker 1: a thing that came and went and they caught Timothy

851
00:51:51,520 --> 00:51:56,080
Speaker 1: McVeigh and executed him and all good. Uh, it's the

852
00:51:56,120 --> 00:51:59,719
Speaker 1: preservation of the like the concept of being exceptional, you know,

853
00:51:59,800 --> 00:52:02,480
Speaker 1: like if too much attention is paid to that, then

854
00:52:02,480 --> 00:52:05,680
Speaker 1: everyone has to accept that America has a problem with

855
00:52:05,840 --> 00:52:09,600
Speaker 1: white supremacist terror, like really accept that. And I think

856
00:52:09,920 --> 00:52:13,400
Speaker 1: law enforcement knows that, legislators know that, activists know that.

857
00:52:13,480 --> 00:52:16,480
Speaker 1: Most people who have engaged with all kinds of human

858
00:52:16,480 --> 00:52:18,319
Speaker 1: beings on this in this country have been like, no,

859
00:52:18,440 --> 00:52:22,520
Speaker 1: that that's probably real, but it's there. There, there is this,

860
00:52:23,200 --> 00:52:27,200
Speaker 1: you know, by not confronting these things, we can pretend

861
00:52:27,239 --> 00:52:29,920
Speaker 1: everything's okay. And now we're like playing, We're playing this

862
00:52:30,080 --> 00:52:34,960
Speaker 1: same pattern of behavior out to its worst possible degree

863
00:52:35,000 --> 00:52:39,080
Speaker 1: now because it's like, rather than accepting that the this

864
00:52:39,160 --> 00:52:42,640
Speaker 1: government has completely failed its response and now it's time

865
00:52:42,719 --> 00:52:47,080
Speaker 1: for serious, serious action to correct that because the last

866
00:52:47,120 --> 00:52:50,279
Speaker 1: attempt was a failure. Uh, we just but we're not

867
00:52:50,360 --> 00:52:52,440
Speaker 1: We're not approaching things like that. It's like, not nothing's

868
00:52:52,480 --> 00:52:56,200
Speaker 1: wrong even if everything is quite you know, literally dying

869
00:52:56,719 --> 00:53:00,560
Speaker 1: before your eyes. I wish The documentary few days ago

870
00:53:00,640 --> 00:53:03,840
Speaker 1: called the The Newburgh Sting. I don't know if you

871
00:53:03,880 --> 00:53:07,440
Speaker 1: guys have seen it, but it was basically about a

872
00:53:07,440 --> 00:53:11,560
Speaker 1: an FBI operation in two thousand and nine in new

873
00:53:11,760 --> 00:53:14,719
Speaker 1: in Newburgh, New York, which is one of, you know,

874
00:53:14,800 --> 00:53:19,480
Speaker 1: one of one of the state's most impoverished cities and

875
00:53:19,680 --> 00:53:23,560
Speaker 1: largely African American, and the FBI ran a sting operation

876
00:53:23,680 --> 00:53:29,480
Speaker 1: there where they sent a confidential informant who was originally

877
00:53:29,520 --> 00:53:34,160
Speaker 1: from Pakistan to go to the mosque and recruit men

878
00:53:34,520 --> 00:53:39,560
Speaker 1: into an Islamic terror plot to bomb synagogue in in Riverdale.

879
00:53:40,400 --> 00:53:43,000
Speaker 1: And you know, the guy was offering these guys I

880
00:53:43,000 --> 00:53:45,279
Speaker 1: think two d thousand dollars each. You know, these are

881
00:53:45,480 --> 00:53:47,960
Speaker 1: these are men who, you know, I don't know whether

882
00:53:48,160 --> 00:53:50,480
Speaker 1: whether their where their next rent check is coming from.

883
00:53:50,520 --> 00:53:52,719
Speaker 1: One of them was, in fact, I think, basically homeless.

884
00:53:52,840 --> 00:53:54,640
Speaker 1: Only one of the four had ever even been to

885
00:53:54,719 --> 00:53:58,239
Speaker 1: the mosque. But this guy, you know, told maybe he's

886
00:53:58,239 --> 00:54:00,719
Speaker 1: going to get Toronto thousand dollars, and they showed up

887
00:54:00,760 --> 00:54:02,960
Speaker 1: to do the plot. The FBI swooped him with a

888
00:54:03,000 --> 00:54:07,319
Speaker 1: hundred officers, arrested them and said they'd interrupted serious al

889
00:54:07,440 --> 00:54:10,239
Speaker 1: Qaeda cell in the US. And I mean it was

890
00:54:10,280 --> 00:54:13,880
Speaker 1: it was so obviously confected, so obviously it's almost like

891
00:54:14,080 --> 00:54:17,080
Speaker 1: talked about all well, but there's like McCarthyism when it

892
00:54:17,120 --> 00:54:19,520
Speaker 1: comes to like radical Islam in the U s. And

893
00:54:19,560 --> 00:54:20,960
Speaker 1: on the other hand, as you guys say, when it

894
00:54:20,960 --> 00:54:23,279
Speaker 1: comes to white supremacy in the far right, which I

895
00:54:23,320 --> 00:54:25,439
Speaker 1: know is something that you know, Robert Evans and behind

896
00:54:25,440 --> 00:54:27,799
Speaker 1: the bustards and behind the police looks at. You know,

897
00:54:27,840 --> 00:54:33,120
Speaker 1: it's this absolute denial of the of the interconnectedness of

898
00:54:33,160 --> 00:54:36,640
Speaker 1: these networks. There's always a lone wolf. It's always somebody

899
00:54:36,640 --> 00:54:40,200
Speaker 1: with mental health issues, always one off. Well, it's not.

900
00:54:40,920 --> 00:54:43,680
Speaker 1: Why don't we why don't we want to confess that

901
00:54:43,800 --> 00:54:47,840
Speaker 1: because it pulls at the edifice of this like fair

902
00:54:48,440 --> 00:54:55,040
Speaker 1: racially equal society that you know, there is obviously a fiction. Yeah,

903
00:54:55,120 --> 00:55:00,120
Speaker 1: And I mean the ideology that underlies you know, the

904
00:55:00,120 --> 00:55:03,240
Speaker 1: the things we're talking about on the right is also

905
00:55:03,920 --> 00:55:07,200
Speaker 1: you know, as behind the police, the Robert Evans mini

906
00:55:07,239 --> 00:55:10,920
Speaker 1: series with prop talked about, is also the ideology that

907
00:55:11,680 --> 00:55:14,520
Speaker 1: a lot of American police forces were was founded on

908
00:55:14,960 --> 00:55:18,960
Speaker 1: UM and you know, is still far more prevalent than

909
00:55:19,000 --> 00:55:22,319
Speaker 1: I think a lot of people realized prior to this year.

910
00:55:22,840 --> 00:55:25,320
Speaker 1: But it wasn't all bad. I mean, the founding fathers.

911
00:55:25,760 --> 00:55:29,280
Speaker 1: I just saw that musical Hamilton's they sound they seemed

912
00:55:29,320 --> 00:55:32,759
Speaker 1: like a really cool but very diverse something something went,

913
00:55:32,960 --> 00:55:36,440
Speaker 1: something went wrong between then and now, because I'm pretty

914
00:55:36,480 --> 00:55:39,160
Speaker 1: sure they were we were on the right track. Let's

915
00:55:39,200 --> 00:55:44,120
Speaker 1: always remember the founding slavers Father's right. One of the

916
00:55:44,160 --> 00:55:46,719
Speaker 1: other things I always think it's interesting is is what

917
00:55:46,840 --> 00:55:51,880
Speaker 1: are the unintended consequences of the absolutely vast military industrial

918
00:55:51,920 --> 00:55:56,160
Speaker 1: complex in the US. And one of the consequence obviously

919
00:55:56,800 --> 00:56:02,080
Speaker 1: tactical gear, armored vehicles, all kinds of extremely over the

920
00:56:02,120 --> 00:56:05,480
Speaker 1: top equipment making into the hands of local police forces

921
00:56:05,480 --> 00:56:07,759
Speaker 1: because it needs to be sold on after the military

922
00:56:08,239 --> 00:56:10,960
Speaker 1: no longer required or its surplus. So there are all

923
00:56:11,000 --> 00:56:14,239
Speaker 1: these like there's a structural racism, and then there's all

924
00:56:14,280 --> 00:56:18,520
Speaker 1: these trends around it, around like militarization and other forces

925
00:56:18,560 --> 00:56:21,800
Speaker 1: where you just have this sort of whirlpool of of

926
00:56:22,080 --> 00:56:25,080
Speaker 1: of hell coming together. And I mean not like in Britain.

927
00:56:25,160 --> 00:56:28,759
Speaker 1: I mean they've been terrible cases of racism and the

928
00:56:28,800 --> 00:56:32,799
Speaker 1: police and and and and and you know, police mouth feasance.

929
00:56:32,920 --> 00:56:35,520
Speaker 1: But you know in the States, you know, when you

930
00:56:35,560 --> 00:56:37,680
Speaker 1: go to a protest or whatever it is, you have

931
00:56:37,760 --> 00:56:41,640
Speaker 1: this constant sense of being, you know, even as as

932
00:56:41,760 --> 00:56:44,920
Speaker 1: as a white man in opposition to the police or

933
00:56:44,960 --> 00:56:48,520
Speaker 1: like a potential suspect or potential criminal. And I've never

934
00:56:48,560 --> 00:56:50,880
Speaker 1: really encountered that anywhere else in the world except I

935
00:56:50,880 --> 00:56:53,560
Speaker 1: guess for China. But you know, it's it's a weird

936
00:56:53,800 --> 00:56:56,000
Speaker 1: it's a weird feeling that the police aren't part of

937
00:56:56,040 --> 00:56:59,840
Speaker 1: the citizen. Really. It's like, it's just strange. It's strange

938
00:57:00,000 --> 00:57:01,880
Speaker 1: to see, even though off to ten years like this

939
00:57:02,040 --> 00:57:04,560
Speaker 1: tightening of the chest you get from seeing like another

940
00:57:04,600 --> 00:57:07,040
Speaker 1: citizen who happens who were a uniform like this is

941
00:57:07,120 --> 00:57:17,360
Speaker 1: this is not a good feeling. Yep, yeah, not tightening

942
00:57:17,360 --> 00:57:20,760
Speaker 1: of the chest. Alright, Well, let's talk about the millionaires

943
00:57:20,760 --> 00:57:24,959
Speaker 1: who are going to save us all. Uh no, that's

944
00:57:25,040 --> 00:57:28,240
Speaker 1: I mean, this is kind of the oligarchy thing we

945
00:57:28,240 --> 00:57:32,520
Speaker 1: were talking about. But uh, some millionaires are begging to

946
00:57:32,560 --> 00:57:38,400
Speaker 1: be taxed more to help out the pores um. It's

947
00:57:38,440 --> 00:57:43,880
Speaker 1: called millionaires for humanity. Uh, it's humanity. It's a new

948
00:57:43,920 --> 00:57:52,720
Speaker 1: group of concerns. It's I mean, at least it acknowledges

949
00:57:52,920 --> 00:57:56,960
Speaker 1: that these millionaires giving a portion of their wealth is

950
00:57:57,000 --> 00:57:59,520
Speaker 1: not the answer, and that they like that there needs

951
00:57:59,520 --> 00:58:04,240
Speaker 1: to be strung taxation. The way this letter is written, though,

952
00:58:04,440 --> 00:58:08,200
Speaker 1: it's a brilliant pr because it's also a very fancy

953
00:58:08,360 --> 00:58:10,880
Speaker 1: Please don't look up PDF schematics on how to build

954
00:58:10,880 --> 00:58:13,720
Speaker 1: guillotines with, you know, things you can buy at home depot.

955
00:58:14,280 --> 00:58:16,800
Speaker 1: But this also sounds like a really fun way to say, like,

956
00:58:16,920 --> 00:58:18,400
Speaker 1: we hear you, guys, we hear you, We hear you,

957
00:58:18,520 --> 00:58:20,160
Speaker 1: we hear you. We have way too much money. We

958
00:58:20,160 --> 00:58:21,520
Speaker 1: have way too much money. When I give you some

959
00:58:21,560 --> 00:58:23,160
Speaker 1: of that money, because we realize we have a lot

960
00:58:23,200 --> 00:58:25,640
Speaker 1: of money. So it's saying, as COVID nineteen strikes the world,

961
00:58:25,720 --> 00:58:34,760
Speaker 1: millionaires like us, that's very good. I'm already fucking and

962
00:58:34,800 --> 00:58:36,880
Speaker 1: this is real. I'm this is verbed and what is

963
00:58:37,240 --> 00:58:39,680
Speaker 1: Millionaires like us have a critical role to play in

964
00:58:39,760 --> 00:58:42,160
Speaker 1: healing our world. No, we are not the ones caring

965
00:58:42,200 --> 00:58:44,160
Speaker 1: for this sick and intensive care awards. We are not

966
00:58:44,240 --> 00:58:46,760
Speaker 1: driving the ambulances that will bring the ill to hospitals.

967
00:58:46,920 --> 00:58:49,520
Speaker 1: We are not restocking grocery store shelves or delivering food

968
00:58:49,560 --> 00:58:54,479
Speaker 1: door to door. But we do have money, lots of money. Yes,

969
00:58:54,680 --> 00:58:58,920
Speaker 1: I'm not joking. This is this is lots of it.

970
00:58:59,280 --> 00:59:02,040
Speaker 1: Money that is desperately needed now and will continue to

971
00:59:02,080 --> 00:59:04,520
Speaker 1: be needed in the years ahead as our world recovers

972
00:59:04,520 --> 00:59:09,160
Speaker 1: from this crisis. Today, we understand today we the undersigned millionaires,

973
00:59:09,240 --> 00:59:14,760
Speaker 1: ask our governments to raise taxes on people like us immediately, substantially, permanently.

974
00:59:15,360 --> 00:59:17,520
Speaker 1: And you know, the letter goes on to say that

975
00:59:17,600 --> 00:59:21,479
Speaker 1: like they get it, man, like, look, we get it, wet. Hey,

976
00:59:21,560 --> 00:59:24,080
Speaker 1: there's there's no fucking net out there. These people that

977
00:59:24,120 --> 00:59:27,080
Speaker 1: are actually the way I'm passively making my money off

978
00:59:27,080 --> 00:59:29,800
Speaker 1: of their labor. Like I realized, Okay, maybe there's a

979
00:59:29,840 --> 00:59:31,959
Speaker 1: way to give some of this back. And I don't

980
00:59:31,960 --> 00:59:34,120
Speaker 1: know who many of these people are. The fact that

981
00:59:34,160 --> 00:59:37,360
Speaker 1: I didn't recognize many of the signed millionaires bumped me

982
00:59:37,400 --> 00:59:40,240
Speaker 1: out because you're like, you're hoping it's the people with

983
00:59:40,520 --> 00:59:43,280
Speaker 1: like the a lot of money, like the where's the

984
00:59:43,480 --> 00:59:47,280
Speaker 1: billionaires for humanity? Not to shade the millionaires, you know,

985
00:59:47,360 --> 00:59:50,120
Speaker 1: I love to millionaires and anybody with means wanting to help,

986
00:59:50,440 --> 00:59:53,560
Speaker 1: but there's also I'm like, I'm not seeing some bigger

987
00:59:53,640 --> 00:59:56,280
Speaker 1: names on here. What was very interesting was saying we

988
00:59:56,320 --> 00:59:57,960
Speaker 1: owe a huge debt to the people working on the

989
00:59:57,960 --> 01:00:01,360
Speaker 1: front lines of this global battle. Essential workers are grossly

990
01:00:01,400 --> 01:00:03,400
Speaker 1: underpaid for the burden they carry. They get that part,

991
01:00:03,480 --> 01:00:05,920
Speaker 1: and then what they say to sign off. Our interconnectedness

992
01:00:06,000 --> 01:00:08,520
Speaker 1: has never been more clear. We must rebalance our world

993
01:00:08,760 --> 01:00:10,920
Speaker 1: before it is too late. There will not be another

994
01:00:11,040 --> 01:00:14,919
Speaker 1: chance to get this right. I feel like that's true. Yeah,

995
01:00:15,040 --> 01:00:17,560
Speaker 1: I think they just saw the lorax because that is

996
01:00:18,680 --> 01:00:22,400
Speaker 1: right there, you know, they nailed it. Um, what's the

997
01:00:22,440 --> 01:00:24,880
Speaker 1: lorax the Doctor's SU's book. I mean, I know, but

998
01:00:25,040 --> 01:00:28,640
Speaker 1: what's the like what there's there's literally like it ends

999
01:00:28,680 --> 01:00:32,439
Speaker 1: with them being like, unless you make a change right now,

1000
01:00:33,040 --> 01:00:37,160
Speaker 1: the problem Q fat boy slim right here, right now,

1001
01:00:38,200 --> 01:00:45,200
Speaker 1: because tax me right now. Um, you guys are gonna

1002
01:00:45,200 --> 01:00:48,840
Speaker 1: be noticing a lot of children's movies bleeding into my

1003
01:00:49,760 --> 01:00:54,200
Speaker 1: into my references over the next love. I mean, look

1004
01:00:54,240 --> 01:00:56,800
Speaker 1: now now, I'm not going to look foolish at my

1005
01:00:56,960 --> 01:01:01,280
Speaker 1: doctor Seus's dinner parties I go to. I don't know,

1006
01:01:01,360 --> 01:01:05,600
Speaker 1: I do think this. I don't know what to. I mean,

1007
01:01:05,680 --> 01:01:08,960
Speaker 1: I like the momentum that of their trying to add

1008
01:01:09,040 --> 01:01:12,400
Speaker 1: to this movement because yes, this, this is actually one

1009
01:01:12,440 --> 01:01:14,800
Speaker 1: of the biggest things that needs to be addressed right now.

1010
01:01:14,800 --> 01:01:16,920
Speaker 1: There are many things that are just so easy to

1011
01:01:16,960 --> 01:01:19,320
Speaker 1: be like, yeah, we gotta change that right away, Like

1012
01:01:19,560 --> 01:01:21,120
Speaker 1: you know, talking about the last show, Like, if you

1013
01:01:21,160 --> 01:01:24,640
Speaker 1: make more money on unemployment then you do employment, then

1014
01:01:24,880 --> 01:01:27,600
Speaker 1: there's no reason to have a job unless it is

1015
01:01:27,640 --> 01:01:29,920
Speaker 1: going to make you something that feels like a living wage.

1016
01:01:30,000 --> 01:01:33,240
Speaker 1: So like what that should that should be the easiest thing,

1017
01:01:33,320 --> 01:01:35,280
Speaker 1: But again it requires a lot of people to go

1018
01:01:35,560 --> 01:01:39,440
Speaker 1: into their pockets. I guess the billionaires for humanity who

1019
01:01:39,440 --> 01:01:47,240
Speaker 1: aren't signed definitely better than the celebrities that led by Galgadosi. Imagine, yeah,

1020
01:01:47,960 --> 01:01:52,760
Speaker 1: for that monologue, I'm responsible. Oh god, that was something else.

1021
01:01:53,760 --> 01:01:56,720
Speaker 1: Give it to me one more time. It's clear that

1022
01:01:56,760 --> 01:01:59,920
Speaker 1: you're reading. Could you not move your ound? Sorry about this?

1023
01:02:01,560 --> 01:02:08,440
Speaker 1: I think I'm responsible. That was very good. Those performances,

1024
01:02:08,440 --> 01:02:11,840
Speaker 1: those were so good. Oh god. But how do you,

1025
01:02:12,240 --> 01:02:16,160
Speaker 1: as like a famous or rich person who like genuinely

1026
01:02:16,280 --> 01:02:20,000
Speaker 1: doesn't suffer these like terrible social ills that most people

1027
01:02:20,000 --> 01:02:22,800
Speaker 1: are in counting right now? Like how do you say

1028
01:02:22,800 --> 01:02:25,360
Speaker 1: something without coming off like a terrible hypocrite? Like who

1029
01:02:25,400 --> 01:02:28,360
Speaker 1: who's Have you guys seen any examples of people who

1030
01:02:28,360 --> 01:02:32,400
Speaker 1: have done a good job of it? M hmm, I

1031
01:02:32,480 --> 01:02:34,800
Speaker 1: mean I don't know. It's I think it's merely it's

1032
01:02:34,800 --> 01:02:37,840
Speaker 1: all about how loud you are about it, you know,

1033
01:02:37,960 --> 01:02:39,720
Speaker 1: like because I think there are many ways for you

1034
01:02:39,800 --> 01:02:44,320
Speaker 1: to be philanthropic and be anonymous and be effective, and

1035
01:02:44,320 --> 01:02:46,400
Speaker 1: if you actually had the means, you could probably put

1036
01:02:46,440 --> 01:02:48,920
Speaker 1: together some pretty brilliant people to figure out how to

1037
01:02:49,040 --> 01:02:51,680
Speaker 1: do something like that and say, like I'm about to

1038
01:02:51,680 --> 01:02:54,760
Speaker 1: put eight billion dollars into this, but like how do

1039
01:02:54,840 --> 01:02:57,000
Speaker 1: we do this? And I don't want anyone to know

1040
01:02:57,400 --> 01:03:01,040
Speaker 1: or whatever, not that it's impossible, but I think I

1041
01:03:01,480 --> 01:03:04,919
Speaker 1: think when it when you sign on it and it's

1042
01:03:04,960 --> 01:03:07,560
Speaker 1: like we have so much money, like we gotta help.

1043
01:03:07,600 --> 01:03:09,720
Speaker 1: I mean that feels that feels like a cool scene

1044
01:03:09,720 --> 01:03:12,160
Speaker 1: in a Disney movie, like when you're like like you're

1045
01:03:12,200 --> 01:03:16,600
Speaker 1: turning the second act. But like I don't know, Yeah,

1046
01:03:16,640 --> 01:03:19,080
Speaker 1: I don't. I'm not sure what to even do because

1047
01:03:19,160 --> 01:03:22,080
Speaker 1: really it's going to take the legislators to even create

1048
01:03:22,120 --> 01:03:23,960
Speaker 1: those laws. And there can be a ton of people

1049
01:03:24,000 --> 01:03:26,440
Speaker 1: who are like it's almost like, well, I want to

1050
01:03:26,440 --> 01:03:28,200
Speaker 1: give them anyway, but they won't take it, and I'm

1051
01:03:28,200 --> 01:03:29,440
Speaker 1: not going to figure out what to do with it

1052
01:03:29,480 --> 01:03:31,880
Speaker 1: beyond that, Like I could give I could pay people

1053
01:03:31,880 --> 01:03:34,080
Speaker 1: who work for me more as a way to do

1054
01:03:34,120 --> 01:03:37,000
Speaker 1: that in media, but I don't. I'd rather just get taxed,

1055
01:03:37,080 --> 01:03:39,960
Speaker 1: you know, and that's why I signed this letter. So

1056
01:03:40,040 --> 01:03:42,600
Speaker 1: it's hard to know what you know, because like you

1057
01:03:42,640 --> 01:03:44,800
Speaker 1: could do better if you just said it was a

1058
01:03:45,480 --> 01:03:47,920
Speaker 1: you know, a policy of the all the companies that

1059
01:03:48,000 --> 01:03:51,919
Speaker 1: fall under your multinational conglomerate to pay living wages and

1060
01:03:51,960 --> 01:03:55,480
Speaker 1: be like, hey, sorry, sorry to the stockholders, but this

1061
01:03:55,720 --> 01:04:00,480
Speaker 1: we're not running it like this anymore. As has been

1062
01:04:00,880 --> 01:04:04,360
Speaker 1: a pleasure having you on the daily zicost Where can

1063
01:04:04,400 --> 01:04:08,840
Speaker 1: people find you? Follow you here? You all that good stuff. Well,

1064
01:04:08,880 --> 01:04:10,960
Speaker 1: thank you so much for having me. I really enjoyed it.

1065
01:04:11,800 --> 01:04:19,520
Speaker 1: I have a newly minted Twitter handle, and and me

1066
01:04:19,640 --> 01:04:22,840
Speaker 1: and Monica are doing a Reddit m a on our

1067
01:04:23,080 --> 01:04:27,760
Speaker 1: Slash podcasts on Wednesday at noon e st to talk

1068
01:04:27,800 --> 01:04:32,400
Speaker 1: about what we learned in Forgotten about what's happening to

1069
01:04:32,400 --> 01:04:37,200
Speaker 1: the women in Huirez and honestly, um, you know, their

1070
01:04:37,240 --> 01:04:40,520
Speaker 1: fate connects in so many ways to all the things

1071
01:04:40,520 --> 01:04:45,920
Speaker 1: we've been talking about, compunity, structural violence, and you know,

1072
01:04:46,200 --> 01:04:49,200
Speaker 1: in particular, what happens when you keep a group of

1073
01:04:49,200 --> 01:04:52,520
Speaker 1: people poor because it suits you to have their cheap labor,

1074
01:04:53,120 --> 01:04:55,600
Speaker 1: and and then don't do anything to protect them. And

1075
01:04:55,680 --> 01:04:57,920
Speaker 1: it's not necessarily you know, it's it's also a true

1076
01:04:57,960 --> 01:05:00,680
Speaker 1: crime podcast, so we take you through a mystery, and

1077
01:05:00,720 --> 01:05:03,960
Speaker 1: we have FBI agents and d A agents and activists,

1078
01:05:03,960 --> 01:05:06,560
Speaker 1: and we talked to some of the victims families, which

1079
01:05:06,560 --> 01:05:09,400
Speaker 1: are very profound. But but the takecome of the conversation

1080
01:05:09,480 --> 01:05:12,120
Speaker 1: is really a mirror to the US from from a

1081
01:05:12,120 --> 01:05:14,840
Speaker 1: city which is less than a mile away, but which

1082
01:05:14,920 --> 01:05:17,760
Speaker 1: kind of is the logical conclusion of all the all

1083
01:05:17,800 --> 01:05:20,120
Speaker 1: the bad behavior. I think that we've been discussing today,

1084
01:05:22,200 --> 01:05:24,640
Speaker 1: and is there a tweet or some other work of

1085
01:05:24,760 --> 01:05:29,520
Speaker 1: social media you've been enjoying. Yes, Actually, my my, my

1086
01:05:29,600 --> 01:05:35,040
Speaker 1: dear friend and co host of Sleepwalkers, my other podcast

1087
01:05:35,160 --> 01:05:37,400
Speaker 1: that I do on the iHeart podcast network, which is

1088
01:05:37,440 --> 01:05:42,040
Speaker 1: about technology, added a very amusing I thought tweet which

1089
01:05:42,160 --> 01:05:46,160
Speaker 1: also quite a proposed what we've been discussing, where she

1090
01:05:46,360 --> 01:05:53,440
Speaker 1: said drum roll, nobody dot every brand colon in times

1091
01:05:53,480 --> 01:06:00,160
Speaker 1: like these, I thought was very as the hypocrisy of

1092
01:06:00,920 --> 01:06:10,120
Speaker 1: corporate activism, times of record corporate profits, no Hero bonuses, though,

1093
01:06:10,320 --> 01:06:15,320
Speaker 1: no Hero bonuses, miles Hero straight in their dumb hero face.

1094
01:06:16,400 --> 01:06:21,480
Speaker 1: I'm sorry. So before I give all that information where

1095
01:06:21,520 --> 01:06:23,760
Speaker 1: you can find me, I I do want to raise

1096
01:06:23,840 --> 01:06:26,760
Speaker 1: something super producer on a hose Na was putting me

1097
01:06:26,800 --> 01:06:29,560
Speaker 1: onto it and everybody who listens to the show should

1098
01:06:29,600 --> 01:06:32,640
Speaker 1: as well. Um, you know, the Trump administration, I don't

1099
01:06:32,640 --> 01:06:35,280
Speaker 1: know if you've heard this, but they had they proposed

1100
01:06:35,280 --> 01:06:38,800
Speaker 1: some pretty awful regulations to the asylum system in this

1101
01:06:38,880 --> 01:06:42,120
Speaker 1: country where you know, vulnerable people, people in the l

1102
01:06:42,120 --> 01:06:45,520
Speaker 1: g B, t q I A community, people with HIV, AIDS,

1103
01:06:45,880 --> 01:06:48,400
Speaker 1: all kinds of vulnerable people try and enter this country

1104
01:06:48,440 --> 01:06:51,920
Speaker 1: because the living situation where they are is too violent

1105
01:06:52,120 --> 01:06:56,440
Speaker 1: and unfortunately it's it's an untenable living situation for them.

1106
01:06:56,520 --> 01:07:01,120
Speaker 1: These regulations that the Trump administration have proposed are essentially

1107
01:07:01,680 --> 01:07:04,240
Speaker 1: rip out the entire concept of people being able to

1108
01:07:04,280 --> 01:07:07,440
Speaker 1: seek asylum in this country. And because there's been a

1109
01:07:07,440 --> 01:07:09,560
Speaker 1: lot of lawsuits around this to try and keep this

1110
01:07:09,600 --> 01:07:12,720
Speaker 1: from happening. But there is one way that people can help,

1111
01:07:12,760 --> 01:07:15,560
Speaker 1: in a very easy way, UM, that you can submit

1112
01:07:15,680 --> 01:07:18,760
Speaker 1: a comment to the administration that when there are these

1113
01:07:18,760 --> 01:07:21,320
Speaker 1: regulations that are happening that the government like sort of

1114
01:07:21,360 --> 01:07:24,360
Speaker 1: the policy that they read and respond to comments that

1115
01:07:24,400 --> 01:07:26,720
Speaker 1: are made if they are unique. And that's with the

1116
01:07:26,760 --> 01:07:29,440
Speaker 1: difference here. What we need is people to go to

1117
01:07:29,480 --> 01:07:31,520
Speaker 1: this website to leave a comment. It's very easy. We'll

1118
01:07:31,560 --> 01:07:34,400
Speaker 1: leave all this information in the footnotes. The longer the comment,

1119
01:07:34,480 --> 01:07:36,680
Speaker 1: the better. But it's like anything, Just like with members

1120
01:07:36,680 --> 01:07:39,000
Speaker 1: of Congress, when they start seeing form comments that are

1121
01:07:39,040 --> 01:07:41,560
Speaker 1: copy and pasted from other things, they don't think it's real.

1122
01:07:41,640 --> 01:07:45,280
Speaker 1: They just think it's an email spam campaign. So please

1123
01:07:45,320 --> 01:07:48,120
Speaker 1: type anything as long as it's truthful about what your

1124
01:07:48,120 --> 01:07:51,120
Speaker 1: feelings are and giving comment on your you know, opposition

1125
01:07:51,160 --> 01:07:53,640
Speaker 1: to these regulations would be great because that could actually

1126
01:07:53,640 --> 01:07:56,560
Speaker 1: help buy people some serious, serious time. So please do

1127
01:07:56,600 --> 01:07:59,000
Speaker 1: that and check the footnotes for how you can get

1128
01:07:59,000 --> 01:08:03,760
Speaker 1: involved with that. Be Twitter, Instagram, even hey, even PlayStation network.

1129
01:08:03,800 --> 01:08:06,439
Speaker 1: Maybe you'll catch me on FIFA or PEZ who knows

1130
01:08:06,760 --> 01:08:10,440
Speaker 1: miles of gray. Uh, and let's see some tweets. Oh,

1131
01:08:10,520 --> 01:08:13,440
Speaker 1: also my other podcast for twenty Day Fiance, where I

1132
01:08:13,480 --> 01:08:16,000
Speaker 1: take a break from the ills of our reality and

1133
01:08:16,080 --> 01:08:20,840
Speaker 1: I dive into trash reality television ninety day Fiace specifically,

1134
01:08:21,160 --> 01:08:24,040
Speaker 1: uh some tweets I like. First one is from at

1135
01:08:24,160 --> 01:08:27,679
Speaker 1: the Desert Arena. From des Arena, Boskovich says her tweet

1136
01:08:27,760 --> 01:08:31,719
Speaker 1: is match your where a damn mask energy with pay

1137
01:08:31,760 --> 01:08:36,080
Speaker 1: people to stay home energy and cancel rent energy. Because

1138
01:08:36,080 --> 01:08:39,439
Speaker 1: that's really yes. I think that's many people are just

1139
01:08:39,880 --> 01:08:43,160
Speaker 1: limiting it to our thinking of wear a mask, but

1140
01:08:43,200 --> 01:08:46,040
Speaker 1: we're always saying like we need a fucking safety net

1141
01:08:46,240 --> 01:08:50,400
Speaker 1: though too. That's how that works with all the banks

1142
01:08:50,400 --> 01:08:53,360
Speaker 1: and people being like the rainy Day the landlord argument

1143
01:08:53,400 --> 01:08:56,160
Speaker 1: that we've seen time and time and again not being

1144
01:08:56,200 --> 01:08:59,400
Speaker 1: asked of banks or these companies when they're asking for bailouts.

1145
01:08:59,400 --> 01:09:01,880
Speaker 1: I think that's an other another more energy we need

1146
01:09:01,920 --> 01:09:04,920
Speaker 1: to keep going. Another one is just this ridiculous video.

1147
01:09:04,960 --> 01:09:07,000
Speaker 1: It's from at Baker Bone. It says, just when you

1148
01:09:07,000 --> 01:09:10,160
Speaker 1: thought things couldn't get any worse, top bears how to

1149
01:09:10,240 --> 01:09:13,080
Speaker 1: use nunchucks and it's like a bear out of Zoo.

1150
01:09:13,160 --> 01:09:17,120
Speaker 1: But it is just swinging these nunchucks around and it's

1151
01:09:17,240 --> 01:09:19,400
Speaker 1: it's getting it's doing a little bit of nun chuckery

1152
01:09:19,400 --> 01:09:20,840
Speaker 1: on it. I'm not gonna lie, so it gave me

1153
01:09:20,880 --> 01:09:26,519
Speaker 1: a laugh, so shout out yeah. Yeah. The thing with

1154
01:09:27,160 --> 01:09:31,640
Speaker 1: um cancel rent and you know the unemployment is going

1155
01:09:31,680 --> 01:09:36,639
Speaker 1: to stop, I think in August or late July like

1156
01:09:37,200 --> 01:09:40,400
Speaker 1: they do. They don't put another bill forward like that,

1157
01:09:41,200 --> 01:09:45,000
Speaker 1: and I think the GOP is like pushing to do that,

1158
01:09:45,080 --> 01:09:48,120
Speaker 1: to just let it happen, and like there's already like

1159
01:09:48,320 --> 01:09:53,040
Speaker 1: record long lines at food banks, Like that's going to

1160
01:09:53,600 --> 01:09:57,439
Speaker 1: keep happening. It's going to get really really bad if well.

1161
01:09:57,479 --> 01:09:59,960
Speaker 1: And then because the US also has a really great

1162
01:10:00,120 --> 01:10:03,680
Speaker 1: habit of calling people's lack of access and lack of

1163
01:10:03,760 --> 01:10:07,200
Speaker 1: safety net and calling that crime. Yeah, you know, rather

1164
01:10:07,240 --> 01:10:10,320
Speaker 1: than acknowledging people's desperation that I'm sure that could that

1165
01:10:10,320 --> 01:10:12,519
Speaker 1: could fit into some kind of narrative going into the

1166
01:10:12,560 --> 01:10:16,080
Speaker 1: election too, if you just have more destitute people doing

1167
01:10:16,120 --> 01:10:18,760
Speaker 1: things and trying to weave that into and I mean,

1168
01:10:18,800 --> 01:10:20,200
Speaker 1: I don't know what we can do. I mean, Trump's

1169
01:10:20,240 --> 01:10:22,320
Speaker 1: Trump's the guy man lawn order, law and order, because

1170
01:10:22,360 --> 01:10:26,639
Speaker 1: he's screaming that ship like going out of style. Um.

1171
01:10:26,720 --> 01:10:31,240
Speaker 1: Some tweets I've been enjoying. Solomon Georgio former guests tweeted,

1172
01:10:31,280 --> 01:10:33,240
Speaker 1: I pretended to wash my hands until I was ten

1173
01:10:33,320 --> 01:10:36,000
Speaker 1: years old and I was in the gifted program. We

1174
01:10:36,040 --> 01:10:40,280
Speaker 1: shouldn't reopen schools during a pandemic. It is kids. I

1175
01:10:40,320 --> 01:10:44,240
Speaker 1: remember that, like just running my hands underwater sometimes just

1176
01:10:44,320 --> 01:10:48,160
Speaker 1: letting the water run near my hands for no reason

1177
01:10:48,280 --> 01:10:50,840
Speaker 1: other than laziness of I didn't want to drive them off.

1178
01:10:51,920 --> 01:10:55,120
Speaker 1: The other thing was handwashing was incentivized, so it was

1179
01:10:55,200 --> 01:10:57,479
Speaker 1: never because it was good habits, just because I would

1180
01:10:57,520 --> 01:11:01,000
Speaker 1: get some ship I have to drag my kids kicking

1181
01:11:01,000 --> 01:11:04,760
Speaker 1: and stream screaming to like wash their hands after and

1182
01:11:04,880 --> 01:11:07,200
Speaker 1: before meals. Like you know what changed it for they

1183
01:11:07,240 --> 01:11:10,800
Speaker 1: have visible dirt on their hands. Yeah, right, just like

1184
01:11:11,240 --> 01:11:13,840
Speaker 1: like earthworms crawling over their palm. Like, yo, if this

1185
01:11:13,920 --> 01:11:17,080
Speaker 1: is a joke, Now you got worms, you you got

1186
01:11:17,120 --> 01:11:22,840
Speaker 1: dirt hands. The foaming soap, the foaming soup is great.

1187
01:11:22,920 --> 01:11:26,000
Speaker 1: I hated a little bit more. Yeah, I hated touching

1188
01:11:26,040 --> 01:11:28,280
Speaker 1: a bar of soap as a kid. I just remember that.

1189
01:11:28,320 --> 01:11:31,519
Speaker 1: And then whenever I would travel to Japan and like

1190
01:11:31,800 --> 01:11:34,920
Speaker 1: back when the first automated soap dispensers came out, like

1191
01:11:34,960 --> 01:11:36,920
Speaker 1: in the late eighties and ship I remember foam came out,

1192
01:11:36,920 --> 01:11:38,920
Speaker 1: I was like, yo, I will wash my hands like

1193
01:11:38,960 --> 01:11:42,960
Speaker 1: this a bar. I do remember being grossed up by

1194
01:11:42,960 --> 01:11:45,200
Speaker 1: the bar as well. Was kind of like the correct

1195
01:11:45,240 --> 01:11:47,559
Speaker 1: ball with like grind minute. I was like, yeah, that

1196
01:11:47,600 --> 01:11:50,120
Speaker 1: can be a better option, which is so weird because

1197
01:11:50,160 --> 01:11:53,120
Speaker 1: then we're like here, like clearly we're like we we

1198
01:11:53,320 --> 01:11:55,400
Speaker 1: like things that are clean, but we're like I don't

1199
01:11:55,400 --> 01:11:59,760
Speaker 1: know though, washing my hands with that too far. When

1200
01:11:59,800 --> 01:12:03,160
Speaker 1: they're actual visible dirt on the soap, it does seem

1201
01:12:03,200 --> 01:12:08,200
Speaker 1: like this anybody. I got to argue with my dad

1202
01:12:08,240 --> 01:12:10,840
Speaker 1: about that because I was like, but it's dirty, and

1203
01:12:10,840 --> 01:12:12,680
Speaker 1: he's like, it's soap. But I'm like, the why is

1204
01:12:12,720 --> 01:12:15,639
Speaker 1: there dirt on it? And he's like because it couldn't.

1205
01:12:15,680 --> 01:12:18,240
Speaker 1: And I just couldn't. I was too dumb to like

1206
01:12:18,360 --> 01:12:21,200
Speaker 1: engage him on a like a one level up intellectually,

1207
01:12:21,200 --> 01:12:22,760
Speaker 1: so I just kept going, well, if it's soap and

1208
01:12:22,800 --> 01:12:27,640
Speaker 1: it's clean, why is it dirty? You're true? You were

1209
01:12:27,680 --> 01:12:30,720
Speaker 1: actually right, I think because it's not like soap just

1210
01:12:30,880 --> 01:12:34,479
Speaker 1: kills germs. Soap just makes germs slip off your hands.

1211
01:12:34,479 --> 01:12:40,880
Speaker 1: It gets some slippery that's all emosifiers out there. Yeah. Uh. Also,

1212
01:12:41,040 --> 01:12:43,840
Speaker 1: Charlene Duguzman tweeted, at the end of every night, there's

1213
01:12:43,880 --> 01:12:46,800
Speaker 1: the disappointing moment where I'm just like, well, I guess

1214
01:12:46,840 --> 01:12:55,880
Speaker 1: that was the day. Then that's real real almost like

1215
01:12:56,200 --> 01:13:00,360
Speaker 1: was that the day was that day? She's really funny

1216
01:13:00,439 --> 01:13:04,760
Speaker 1: sharks Starlene. Uh. You can find me on Twitter at

1217
01:13:04,800 --> 01:13:07,080
Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at

1218
01:13:07,160 --> 01:13:10,080
Speaker 1: Daily Zygeys. We're at the Daily Zeygeys on Instagram. We

1219
01:13:10,120 --> 01:13:13,679
Speaker 1: have a Facebook fan page and a website Daily zeitgeis

1220
01:13:13,760 --> 01:13:16,679
Speaker 1: dot com or we post our episodes and our put notes.

1221
01:13:17,200 --> 01:13:19,240
Speaker 1: We link off to the information that we talked about

1222
01:13:19,280 --> 01:13:23,360
Speaker 1: today's episode as well as the song we ride out

1223
01:13:23,439 --> 01:13:27,639
Speaker 1: on Miles. What is that going to be today? Uh?

1224
01:13:27,680 --> 01:13:32,160
Speaker 1: This is going to be from Okay. So there's this

1225
01:13:32,240 --> 01:13:36,560
Speaker 1: album that came out with Terris Martin, Robert Glass for

1226
01:13:36,840 --> 01:13:40,519
Speaker 1: Ninth Wonder Kamasi Washington, Felix. If you're like in the

1227
01:13:40,600 --> 01:13:45,000
Speaker 1: New Jazz and these guys are all monsters from the

1228
01:13:45,080 --> 01:13:48,720
Speaker 1: deep like New Jazz Lagoon and Ninth Wonders producers a

1229
01:13:48,800 --> 01:13:51,920
Speaker 1: fantastic producer. Uh So they had an album come out

1230
01:13:51,920 --> 01:13:55,800
Speaker 1: called Dinner Party recently and this is a track, um,

1231
01:13:55,840 --> 01:13:58,759
Speaker 1: you know because we were talking about you know, essential workers,

1232
01:13:58,760 --> 01:14:01,760
Speaker 1: first Responders. This track is that she's called first Responders

1233
01:14:02,680 --> 01:14:07,600
Speaker 1: with Kamassi Washington, Love Kamasi Washington. The Daily Zeke is

1234
01:14:07,720 --> 01:14:10,080
Speaker 1: the production of My Heart Radio. For more podcasts from

1235
01:14:10,080 --> 01:14:12,959
Speaker 1: My Heart Radio, visit the heart Radio app, Apple podcast,

1236
01:14:13,479 --> 01:14:16,240
Speaker 1: or wherever you listen to your favorite shows. That is

1237
01:14:16,280 --> 01:14:18,479
Speaker 1: going to do it for this morning. We'll be back

1238
01:14:18,479 --> 01:14:21,559
Speaker 1: this afternoon to tell you what's trending, and we'll talk

1239
01:14:21,600 --> 01:15:00,040
Speaker 1: to you then Bye bye and