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Speaker 1: Hello the Internet. I'm welcome to Season eighty five, Episode three,

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Speaker 1: Joe Days eight Guys, a production of I Heart Radio.

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Speaker 1: This is a podcast we take a deep dive into America,

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Speaker 1: share consciousness, and say officially off the top Buck Coke Industries,

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Speaker 1: Fox News, fuck off. It's Wednesday, June five, two to

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Speaker 1: a nine team. My name is Jack O'Brien, a k

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Speaker 1: Jacksie driver for rankin Kin Jacks Freestyle, and I'm thrilled

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Speaker 1: to be joined as always by by co host Mr Miles.

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Speaker 1: Somebody once told me the zide guys gonna roll me,

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Speaker 1: need help to make every dad. He was sounding kind

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Speaker 1: of high with his coal house ach O'Brian. I think

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Speaker 1: his name was Miles Gray. Wait, there's more well home,

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Speaker 1: take start, come, don't stop coming. There's some taco bell

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Speaker 1: and I hit the ground running. Didn't make sense, No

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Speaker 1: MEXI mel but your tummy gets full, better, lose your belts.

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Speaker 1: So much to do, so much to see. So what's

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Speaker 1: up with Miles is e d You'll never know If

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Speaker 1: you don't go, you'll never shown your heat. Don't glow

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Speaker 1: pay now, you're a pot star, but the Coke bros

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Speaker 1: go play pay now, you're a rock star. Fuck Fox News.

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Speaker 1: Now get bade and as we play a good only

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Speaker 1: podcast stars quick. Yeah I don't honestly, I only know

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Speaker 1: the first half of the first verse. Oh that was impressive.

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Speaker 1: My a came from rich Jefferson at device No, um,

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Speaker 1: not Richard Jefferson, the former Nets player Jefferson. Yeah yeah,

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Speaker 1: this is Dick Jefferson. Richard Jefferson. Yeah. Um yeah. They

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Speaker 1: even got your your your habit of calling your stomach tummy,

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Speaker 1: my tummy, keeping my tummy fl tom tumaru. Uh. Well

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Speaker 1: that was great, fans, very extensive. Okay, Well, we're thrilled

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

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Speaker 1: Melissa Losado Oliva Hia Oliva. Thank you for the effort. Yeah.

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Speaker 1: How are you doing. I'm doing good, you are. I'm

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Speaker 1: excited to be here. You're not from l A right now.

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Speaker 1: I live in New York. How you like in l A. Um,

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Speaker 1: it's cool. I am confused by the car culture. I

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Speaker 1: think you mean, like all the low riders, Yeah, all

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Speaker 1: the all the bird scooters those as I guess. Like

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Speaker 1: I was walking down a sidewalk and then it slowly

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Speaker 1: became not a sidewalk and then I was almost hit

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Speaker 1: by a truck. Oh yeah, yeah, because we have an

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Speaker 1: aggressive pedestrians. Yeah, agenda based on the city planning. Yeah, basically.

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Speaker 1: I also don't know how to drive. I don't know. Yeah, yeah,

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Speaker 1: you're good though, you know, have a good tour guide

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Speaker 1: with you. Yeah I do. Yeah, so you're Jamie Loftus

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Speaker 1: is good for him. Yes, she's my pal, she's your pal.

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Speaker 1: She's been showing around l A. Yeah, she's the best. Wait,

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Speaker 1: so there was a sidewalk that just ended and went

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Speaker 1: into a yeah shell Silverstein. It like it became really skinny,

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Speaker 1: I guess, right, and then it's like yeah, and then

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Speaker 1: I was like tit rope walking on a concrete strip.

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Speaker 1: I thought you're gonna say, the sidewalk turned into a car,

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Speaker 1: Like maybe there's some confusion. You're a poet, so like

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Speaker 1: I could see like a magical realism thing happening. I

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Speaker 1: don't know. Yeah, the sidewalk turned into a car. And

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Speaker 1: then my memories from childhood, my father, that's right, just

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Speaker 1: make that up. Oh yeah, off the dome you should

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Speaker 1: go on death poetry slam? Yeah? Is that still? Did

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Speaker 1: people ever tell you that you should go in death?

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Speaker 1: So I used to watch this videos like that's so

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Speaker 1: excited about them? Um, and watching I'm like, what was this? Yeah?

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Speaker 1: Do people still get down like that because you're a

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Speaker 1: poet and don't you know it? But is that? How

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Speaker 1: big is slam poetry? Now? You know it's it's there

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Speaker 1: are pockets still it kind of like imploded like most

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Speaker 1: art communities do. Yeah, they're not like any competitions this

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Speaker 1: year or whatever. I think like the DPL, like the

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Speaker 1: poetry launch of l A like still is a thing. Yeah,

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Speaker 1: pretty cool, So we should go things. And when I

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Speaker 1: go there, I don't mean here at a t I'm there,

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Speaker 1: take my hat off. I have no hair, my child,

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Speaker 1: so I'm saying it could be my hair all the

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Speaker 1: like breathe. All the best poems rhyme. I've always said

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Speaker 1: Dr SEUs Shell Silverstein sometimes, Um, that's what my agency

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Speaker 1: told me. If it doesn't rhyme, it's not a poem.

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Speaker 1: What what is? Like? The most mainstream thing is deaf

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Speaker 1: poetry jam. The most mainstream slam death poetry. Slam him. Fuck.

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Speaker 1: I don't know my tattoo is wrong because that's the

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Speaker 1: that's where my mind immediately goes as death poetry. The

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Speaker 1: most mainstream that like poetry has broken through in the past.

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Speaker 1: Like I guess, like the most mainstream would be like

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Speaker 1: button poetry. Have you heard of it? It's like button button,

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Speaker 1: who's got the button? Yeah, it's just a man with

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Speaker 1: a bunch of buttons. It's like they like would go

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Speaker 1: to like poetry sims and record poets and then like

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Speaker 1: make viral videos out of that animate them or something. Yeah,

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Speaker 1: and then maybe like three minutes of a thing. So

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Speaker 1: that'd be like the I guess like the most mainstream thing.

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Speaker 1: I don't know, Yeah, deaf poetry jam is like I

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Speaker 1: think it dead. I think I think it's like they're

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Speaker 1: like trying to bring it back. Yeah. Yeah, well, you know,

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Speaker 1: onto the next thing, to the next thing, the next Well,

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Speaker 1: we're thrilled to have you, and we're going to get

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Speaker 1: to know you a little bit better in a moment. First,

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Speaker 1: we are going to tell our listeners a few of

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Speaker 1: the things we're talking about today, such as the fact

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Speaker 1: that Punked and singled Out are coming back on mobile

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Speaker 1: on an app you can't download yet called quimby or

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Speaker 1: Quick Keep Keep By, Bye bye bye whatever, And if

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Speaker 1: you search the name of it right now, you get

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Speaker 1: the Bible quiz. Yeah in the app store. Oh like

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Speaker 1: que be like quiz Bible. Yes, I would do pretty

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Speaker 1: good on that. I think we're gonna just check in

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Speaker 1: with President on his trip to the u k. How

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Speaker 1: he's dealing with the feedback he's getting from the British people. Uh.

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Speaker 1: We're going to talk about the government uh being able

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Speaker 1: to shut down the internet or governments around the world

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Speaker 1: being able to shut down the internet. Uh. We're gonna

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Speaker 1: talk about whether Nancy Pelosi is playing nine D chess

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Speaker 1: or ten D chess. We're gonna talk about whether town halls,

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Speaker 1: these televised town halls that Democratic candidates are doing, whether

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Speaker 1: they're actually like affecting whether they have a shot at

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Speaker 1: the nomination or not. There's a new report out it's

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Speaker 1: a civilization is going to collapse by We're gonna talk

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Speaker 1: about that. So no need to deal with climate change. Yeah, no,

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Speaker 1: it's because of climate change. Yeah, but I'm saying because

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Speaker 1: it's gonna end like who cares, right, because that's what

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Speaker 1: that's But I feel like that's the effect of all

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Speaker 1: these articles have on people like you. Keeping I don't know, man,

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Speaker 1: my sense of like creeping nihilism just like, uh, not

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Speaker 1: that we personally feel like there's nothing to do with it,

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Speaker 1: but I feel like there's a subconscious effect if you're

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Speaker 1: constantly being fed a diet of like the world's gonna end.

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Speaker 1: Yeah you said that, and I was like, oh, thank god, right, yeah,

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Speaker 1: but it's gonna be really bad, Like it's not gonna

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Speaker 1: be like, it's not gonna be tight. Yeah, it's not

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Speaker 1: gonna be tight, or it's not gonna be like an

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Speaker 1: asteroid comes and like takes us out one day. It's

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Speaker 1: gonna be like, uh, you know resources, not the town,

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Speaker 1: the road, town, south, the southeast, inherit the earth. Yeah,

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Speaker 1: it's going to be like the road, which is where

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Speaker 1: my mind immediately goes anytime people are talking about change,

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Speaker 1: because I have kids now, so I'm like, oh, yeah, um,

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Speaker 1: that's what I say, mother, mother, motherfuck. Well, these kids

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Speaker 1: are gonna slow me down the apocalypse. And that's exactly

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Speaker 1: I gotta po We're running from marauders. We gotta get

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Speaker 1: to Buston, we gotta get to Southie. Um. And then finally,

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Speaker 1: just thinking of the gatekeepers trying to enter South Buston,

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Speaker 1: what are you looking for a pal please? We need food,

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Speaker 1: Patriots for life or what who's the greatest socks player

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Speaker 1: ship named three Bruins. You know, Bill Buckner was like

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Speaker 1: a great baseball player, the dude who let the ball

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Speaker 1: go through his legs. Really yeah, he was like a

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Speaker 1: really great but we only know him. We only know

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Speaker 1: him as the dude to let the ball go to

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Speaker 1: whoop seed and seeing that would get you access to

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Speaker 1: the Kingdom, right, because the post apocalypse is going to

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Speaker 1: be like the town, and also like the town in

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Speaker 1: that there are no helicopters because if you introduce police

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Speaker 1: helicopters to that movie, it doesn't make anything anymore, right,

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Speaker 1: Like we got to get to the bridge. The cops

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Speaker 1: can't follow us into South. It's not like they have that. Uh.

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Speaker 1: And also we're gonna talk about a weird YouTube trend,

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Speaker 1: just weird. But first, Melissa, we like to ask our guests,

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

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Speaker 1: who you are? Um? Okay, so two things inter related.

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Speaker 1: The first is I was on a plane and I

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Speaker 1: searched can you bring vitamins on a plane? And that

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Speaker 1: was followed up by acute radiation poisoning? Um, yeah, I've

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Speaker 1: been watching Chernobyl. Yeah, And then I was like, well,

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Speaker 1: these vitamins get radiation and then radiation poison Yeah, and

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Speaker 1: that's that's not true. It's not I mean, I don't know.

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Speaker 1: I never found out some you know that flight attendants

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Speaker 1: get radiation poisoning just from being closer to the sun. Yeah,

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Speaker 1: really yeah, just from being above the clouds all that time.

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Speaker 1: They get like they slowly get radiation poisoning in ore,

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Speaker 1: like a certain percent like a small percentage, but enough

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Speaker 1: for it to be noticeable. Statistically, they're more likely to

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Speaker 1: die from certain types of cancer because they're closer to

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Speaker 1: the sun. Wow. Yeah, lesson to us all. Yeah, by

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Speaker 1: the way, that was my response to you saying you

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Speaker 1: watched Chernobyl was the most cheerful anybody's been about that show,

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Speaker 1: because everyone's like when they tell me to watch it, like,

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Speaker 1: fucking head, dude, just watch it. It's so good, but

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Speaker 1: it's so up. It's really fucked up. I was listening

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Speaker 1: to the accompanying podcast, Yeah, Radiation Poison for Life was it?

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Speaker 1: It's all real Soviet Union. Um yeah, it's like really

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Speaker 1: I talked about this on Ethnically ambigu As yesterday too. Yeah,

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Speaker 1: I'm like obsessed with it. Yeah, yeah, the Chernobyl podcast.

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Speaker 1: If you're going to listen to another podcast, which I

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Speaker 1: don't recommend, but if you have to, that's a good

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Speaker 1: one to check out if you're watching that show. What

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Speaker 1: is something you think is overrated? Um? Something I think

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Speaker 1: is overrated lately as like inspirational language, especially like coming

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Speaker 1: out of the poetry world. Everything is like do you

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Speaker 1: and yourself? Are you a woman of the world? Um?

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Speaker 1: I was just at this conference when this woman was like, everybody,

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Speaker 1: stand up, close your eyes and think of a woman

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Speaker 1: who was dead and and talk to this woman. Do

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Speaker 1: you talk to this woman the way you talk to yourself?

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Speaker 1: And then she was like I tricked you into loving yourself. Um.

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Speaker 1: It was just like creepy and scary and yeah, I

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Speaker 1: feel like it's just like dead dead to me. The

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Speaker 1: same thing as like yeah, wait, so what do you

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Speaker 1: mean this is go a wave right now? It's like

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Speaker 1: a trend in that in the in the poetry world

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Speaker 1: of like being mad inspirational, Yeah, being like mad inspirational,

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Speaker 1: or like the same thing where it's like it's just

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Speaker 1: like empty words, like saying like representation matters, when really

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Speaker 1: you're just saying like, oh I hope people who look

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Speaker 1: like me. You're telling me to shop at Target, you know, like, yeah,

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Speaker 1: performative wokens what Yeah, that's miles of new character woke by.

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Speaker 1: But that's good initiate virtue signaling sequence. But yeah, I

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Speaker 1: I do feel like America especially gets on this sort

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Speaker 1: of positivity for the sake of positivity kick, whereas other

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Speaker 1: countries are like I'm said today, and that's because something

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Speaker 1: is making me sad and that is appropriate to the

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Speaker 1: situation sometimes, or just addressing the conditions that are bringing

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Speaker 1: about these things, like where it's like, oh no, no,

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Speaker 1: don't worry about your dad. Just fucking read this T

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Speaker 1: shirt right, Yeah, it's unhelpful. Yeah, you can't have happiness

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Speaker 1: without I. Um, I don't know without without I, or

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Speaker 1: it's just happiness even I Ness, man, think about it.

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Speaker 1: It's like your highness Wow, wow, dang you guys. You

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Speaker 1: guys are both poets highness, thank you, Dang. Are there

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Speaker 1: any like because I feel like inspirational poetry is has

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Speaker 1: a huge presence on Instagram. Are there any poets who

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Speaker 1: are popular on Instagram that you actually respect or any

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Speaker 1: good uses of poetry on Instagram or social media? Yeah?

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Speaker 1: I mean I think like Instagram is cool and that

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Speaker 1: it's like a good way to get yourself out there

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Speaker 1: and like get your work out there, um and whatever.

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Speaker 1: In the capitalist engine, it's hard to it's hard to

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Speaker 1: do that. Um, so it's a good way to hustle,

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Speaker 1: I guess. Um. But because of that, it kind of like,

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Speaker 1: you know, there's like a weird commodification of like clicks

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Speaker 1: and likes, right, and it begins to pervert the art. Yeah, yeah, exactly. Yeah. Um,

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Speaker 1: but yeah, I would say there's a like, you know, Yesica,

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Speaker 1: she's um l a bass she's pretty cool. Yeah, and

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Speaker 1: she put their poetry on yeah, all of her stuff

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Speaker 1: on Instagram. Yeah. Uh. What is something you think is underrated? Um?

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Speaker 1: I was thinking, I really I don't know how Okay, Like,

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Speaker 1: would you rather questions I think are underrated? Yeah? Um

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Speaker 1: yeah like parties? Yeah, I think you just like find

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Speaker 1: out a lot about a person. Yeah, hit me with one. Um, okay,

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Speaker 1: would you rather um, Okay, this one's like weird, this

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Speaker 1: one's extremely involved. Um, would you rather have no dietary

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Speaker 1: issues at all but just poop for one day? The

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Speaker 1: whole day? You poop all day? Um, but the poop

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Speaker 1: like slides out of your neck, or you have no

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Speaker 1: dietary but you like don't have any dietary issues. You

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Speaker 1: just don't have to poop ever, and that's one day

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Speaker 1: a year. Yeah, it's one day a year. You like

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Speaker 1: schedule it one day that the only time you pooper.

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Speaker 1: Do you poop regularly the rest of the year, you

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Speaker 1: don't don't at all? Okay? Yeah okay? Or or or

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Speaker 1: you just remain the same, same dietary issues, same whatever. Wow,

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Speaker 1: I realized my gastro intestinal privilege because I typically don't

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Speaker 1: have dietary issues. Well, actually, I can't eat pizza when

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Speaker 1: I'm drinking because the acidity and tomato ste makes me vomit.

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Speaker 1: So you're one of poison me offer me pizza when

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Speaker 1: I'm drunk. But I know so much about you. Yeah,

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Speaker 1: you know what part of me? I like the most

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Speaker 1: revealing things. I like to pop. I like to pop,

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Speaker 1: I know. Yeah, So one day, like out my neck,

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Speaker 1: I need minutes every day watching you. When you say

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Speaker 1: out of your neck, it's coming out of like up here,

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Speaker 1: like a gill through your mail. Or do you have

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Speaker 1: ship guilt? I guess I guess it's a ship guilty.

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Speaker 1: The science of it. Yeah, yeah, I'm doing that one. Yeah,

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Speaker 1: well really yeah, I would love to do full day

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Speaker 1: ship guiling that you can schedule. It doesn't just like

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Speaker 1: happen out of nowhere. You can't then think about that

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Speaker 1: like you never have like you never have a situation

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Speaker 1: where you're like, right, oh, then I wouldn't mind camping

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Speaker 1: at Coachella, right yeah, right, Okay, But here's the thing.

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Speaker 1: What if like something important was coming up, like someone's wedding,

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Speaker 1: but you had already like scheduled your ship day what

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Speaker 1: I mean, yeah, that wedding. Yeah, I don't like weddings.

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Speaker 1: Or you'd be like, guys, I'm going to be in

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Speaker 1: the bathroom the whole time I am here. Just do

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Speaker 1: not come in here, right because you'll see something that

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Speaker 1: will actually completely change your world. That would be amazing. Yeah,

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Speaker 1: make it happen like this. That's that was a good

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Speaker 1: brain exercise, right, yeah exactly, Like what limits will you

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Speaker 1: go to? Yeah? But I think I think generally I

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Speaker 1: would have a bias towards always like doing something weird

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Speaker 1: to change in my life, just because like I don't

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Speaker 1: know that I'm a seeker, you know, Um, so I

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Speaker 1: mean not to just to take this completely somewhere else.

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Speaker 1: But there's a website called Conversation Starters World and they

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Speaker 1: have a collection of the best would you rather questions? Really,

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Speaker 1: I would like to read. Would you rather lose the

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Speaker 1: ability to read? Or lose the ability to speak? Heard

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Speaker 1: from the booth? From the booth, there was a groan,

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Speaker 1: but he scheduled his shoes. Yeah, he's having a digestive.

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Speaker 1: So for you lose ability to read a losing that

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Speaker 1: he speaks, Oh my god, to learn, you end your

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Speaker 1: ability to learn, or end your ability to express yourself. Basically,

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Speaker 1: can I like is writing like? Can I like? They

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Speaker 1: can't communicate? If you can't read the you definitely can't write.

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Speaker 1: But if I can't speak, can I still write? No,

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Speaker 1: you could speak and then maybe someone will can dictate.

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Speaker 1: If you want to hack thing, I think you can

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Speaker 1: hack this because I think the text to speech applications

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Speaker 1: are going to be getting better and better. So now

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Speaker 1: you're going to have the robot thing. But you cannot

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Speaker 1: live in the modern world without being able to read. Okay,

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Speaker 1: how about this? Would you rather be covered in fur?

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Speaker 1: Covered in scales? M hm um for because then you

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Speaker 1: could remove it? What do you mean you could like

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Speaker 1: skin removal with laser search. So you're just you're just

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Speaker 1: looking to hack all these ships you're not even looking at. So, like,

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Speaker 1: have you seen wolf Girl where she performing it? It's

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Speaker 1: like movie with Tim Curry, but it's about this girl

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Speaker 1: who like her like Gypsy mother. It's like very fucked up.

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Speaker 1: She like drops her off at a carnival because she's

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Speaker 1: covered in fur. She's like a freak. Then she grows

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Speaker 1: up and she's like wolf Girl in the carnival. And

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Speaker 1: then she meets this like skinny white man who's like

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Speaker 1: really gross, but he falls in love with her and

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Speaker 1: he's like, oh, by the way, my mother is a

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Speaker 1: scientist and she is like coming up with a cure

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Speaker 1: for people like you. And then she takes it without

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Speaker 1: letting him know. But the more she takes it, the

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Speaker 1: more feral she gets. She becomes like a beautiful, like

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Speaker 1: naked woman, but she's like a wildish. She don't work clothes,

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Speaker 1: she'd be eating rost. Clearly somebody's fetish. Yeah, that was

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Speaker 1: just working man, Like what if Janet was just like

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Speaker 1: a fucking animal and she was just had for fun. Bill,

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Speaker 1: I'm your assistant and I can hear you out loud.

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Speaker 1: I'm sorry anyway, be covered in what is a myth?

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Speaker 1: What's something people think is true? You know to be false?

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Speaker 1: By the way, great underrated. That was a lot of fun.

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Speaker 1: Um Oh man, wait what is it? What is something?

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Speaker 1: It's just anything that you think most people think is

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Speaker 1: one way that's the other way. Okay. Can I do

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Speaker 1: a thing that I think is like a theory kind

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Speaker 1: of like okay, okay, I have a theory that um

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Speaker 1: uh okay, what was that? The Earth is flat? And

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Speaker 1: I feel you ever think about the earth? Yeah, nobody

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Speaker 1: seen the edge. I have a theory that Ariana Grande

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Speaker 1: is such a good singer because she has no sense

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Speaker 1: of self and that's why she's like a really good impersonator.

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Speaker 1: She just like has a really good ear and she's

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Speaker 1: like that's why she's like it's like pretending to be

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Speaker 1: like brown. Wow. So she actually has no idea who

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Speaker 1: she is. She's like, all ears is my my Okay, yeah, wow,

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Speaker 1: that's you went. You went in her fucking brain right there.

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Speaker 1: Have you ever read h Yeah, he has a story

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Speaker 1: uh called I think it's called Shakespeare, but it might

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Speaker 1: not be, but it's a it's about Shakespeare. And that's

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Speaker 1: his exact like reading of how Shakespeare became Shakespeare is

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Speaker 1: he was like a completely empty vessel, and so he

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Speaker 1: just like pulled in other people's personalities and like just

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Speaker 1: paid such close attention. It's really interesting because it's like, yeah,

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Speaker 1: he he just tries to like figure out what the

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Speaker 1: internal life of somebody who was like a millennial genius,

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Speaker 1: like a once in a millennium genius would be, and

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Speaker 1: it's like probably a defect of some sort. Yeah. Wow.

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Speaker 1: So Shakespeare also like Ariana Grande yea, Yeah, I mean

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Speaker 1: Ariana Grande, the Shakespeare of the modern world. Yeah, yes,

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Speaker 1: So that my guess. That's interesting though. But that's interesting

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Speaker 1: to think of, like how you're because she's really amazing

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Speaker 1: at doing impersonations and things, and then but her as

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Speaker 1: herself seems like a version of a person. She thinks

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Speaker 1: a cipher. Yeah, because I remember, like very early on

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Speaker 1: her career, I did an interview with her and I

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Speaker 1: wasn't sure if I was talking to like actually her

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Speaker 1: the whole time. I was like, I can't nail her down.

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Speaker 1: Did you ask her the question? Is Ariana in the room? Exactly?

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Speaker 1: I'm like, with Ariana, stand up right, now close your eyes.

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Speaker 1: I'll talk to her. I just tricked you how to

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Speaker 1: love yourself. I know. I was like asking her. She's like,

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Speaker 1: liked like opera and I was like, oh, do you

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Speaker 1: like the classics? She's like, I love the Pirates of Penzance.

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Speaker 1: And I was like, okay, cool you. I thought you're

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Speaker 1: gonna do some touring dot But okay, all right, well ship,

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Speaker 1: we have figured out Ariana Grande, We have nailed a couple.

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Speaker 1: Would you rather We're gonna take a quick break. But

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Speaker 1: I'm just gonna say this show is off to a

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Speaker 1: great start, guess, and we're back. And uh so the

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Speaker 1: President Donald Trump is having issues. Uh he's having a

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Speaker 1: difficult time trying to digest the response he's getting from

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Speaker 1: the people of London. It seems like because he believes,

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Speaker 1: uh that the people when they're booing him are actually cheering.

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Speaker 1: That's what he said, dozens of people cheering me on

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Speaker 1: his didn't didn't you say that? Like Fox was also saying,

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Speaker 1: like when Ivanka stepped out, they were like, oh, they're

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Speaker 1: they're not booing her. Everyone is like in full court

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Speaker 1: press denial mode, right right, because like when it comes

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Speaker 1: to Trump, the projects that are actually well wishers, and

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Speaker 1: they say, there's that's fake news. Cut to all this

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Speaker 1: footage of all all y'all Londoners out in full force

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Speaker 1: flying the Trump blimp, baby blimp and ship. Everything has

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Speaker 1: only shown they do not want you there. They think

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Speaker 1: you are a disgrace because they have eyes and morals

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Speaker 1: and they made Brexit happen. Yeah, and they still are

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Speaker 1: like what about this, dude? But yeah, And then on

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Speaker 1: Fox and Friends there was a moment where Ivanka was

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Speaker 1: like leaving with John Bolton, like from ten Downing Street

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Speaker 1: and there are people who could see down there. The

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Speaker 1: second should come out booze. But Brian kill Amede, I mean, look,

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Speaker 1: he knows it's the president's favorite show. He probably knew

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Speaker 1: Daddy was watching. So he's like, I have to fucking

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Speaker 1: spin this so I don't actually acknowledge that maybe she's

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Speaker 1: also reprehensible that I'll play the clip for you just

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Speaker 1: you can hear the mind twisting that Brian Kilmed had

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Speaker 1: to do. Again, comes Bunk and John Baldwin, uh and

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Speaker 1: some security the National Security Advisor and Ivanka Trump walking

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Speaker 1: across together. It does and it's not for a Vanka's

401
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Speaker 1: for John Balton he loves it. Fucking take that. I

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Speaker 1: eat that ship. Oh I'm sorry, I eat booze for breakfast.

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Speaker 1: Keep him coming like moons deep hated, disgusted that it

404
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Speaker 1: was like Bassie too, like are people hitting tones? I

405
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Speaker 1: have not heard? Yeah, And it's funny because when she

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Speaker 1: first comes out, like you could hear her process that

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Speaker 1: there were people making sounds, and I think she's used

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Speaker 1: to cheering most of the time, so she kind of

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Speaker 1: like sort of pepped up and then with that boo

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Speaker 1: wave hit her face kind of just turned a little bit,

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Speaker 1: but she still try to keep her you know, pageant

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Speaker 1: queen vibe up. And it's John Bolton and he loves it,

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Speaker 1: you know, because he lives on a steady diet of

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Speaker 1: self loathing. Yes, So is that the continuation of that sentence?

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Speaker 1: I love? Yeah. I mean because Fox knew, like what

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Speaker 1: you're hearing, there's probably what's going on in Trump's head

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Speaker 1: where he's like he loves it. So this is actually

418
00:25:38,280 --> 00:25:42,200
Speaker 1: good things. Actually he's dunking on them right. Um, he

419
00:25:42,359 --> 00:25:44,720
Speaker 1: was somehow stuffed at the rim, but I turned that

420
00:25:44,800 --> 00:25:48,480
Speaker 1: into a dunk. So let's talk about this is something

421
00:25:48,560 --> 00:25:53,080
Speaker 1: that we talked about after the terror attack in Sri

422
00:25:53,200 --> 00:25:58,680
Speaker 1: Lanka that their government had actually shut down the Internet

423
00:25:58,920 --> 00:26:02,080
Speaker 1: for a day or at least shut down Facebook and

424
00:26:02,160 --> 00:26:05,600
Speaker 1: social media. And at first I was like, that's probably

425
00:26:05,720 --> 00:26:08,760
Speaker 1: a good thing because Facebook has spread like so much

426
00:26:09,000 --> 00:26:14,520
Speaker 1: disinformation and hate and caused genocides in some cases. But

427
00:26:14,760 --> 00:26:19,359
Speaker 1: apparently this is becoming a go to move for governments,

428
00:26:19,560 --> 00:26:25,520
Speaker 1: like specifically autocracies, and because you you in inhibit their

429
00:26:25,560 --> 00:26:28,880
Speaker 1: ability to organize probably when you take away social media.

430
00:26:28,920 --> 00:26:32,679
Speaker 1: So it is a board story. Yeah, So worldwide, Bloomberg

431
00:26:32,800 --> 00:26:37,800
Speaker 1: is reporting that shutdowns of all or part of the

432
00:26:37,920 --> 00:26:42,320
Speaker 1: Internet in countries rose to a hundred and eighty eight

433
00:26:42,520 --> 00:26:46,320
Speaker 1: government interventions in the last year, up from seventy five

434
00:26:46,359 --> 00:26:50,280
Speaker 1: and two thousand sixteen. So, um, I don't know, man,

435
00:26:50,480 --> 00:26:54,240
Speaker 1: that's that's scary because you know, it hasn't happened in

436
00:26:54,359 --> 00:26:57,520
Speaker 1: the US. But like you kind of think, oh, well,

437
00:26:57,960 --> 00:27:00,520
Speaker 1: they'd never get away with shutting down the internet the USA,

438
00:27:00,640 --> 00:27:04,040
Speaker 1: But like how would how would they not get away

439
00:27:04,080 --> 00:27:06,399
Speaker 1: with it? Who would catch them? The media? Who's not

440
00:27:06,560 --> 00:27:08,480
Speaker 1: who's on the internet? Yeah, how are you going to

441
00:27:08,560 --> 00:27:10,879
Speaker 1: get them? You're gonna go to your local news stand

442
00:27:11,400 --> 00:27:14,680
Speaker 1: and uh yeah, I mean all it's gonna take is

443
00:27:14,800 --> 00:27:20,440
Speaker 1: who knows if like goes south for Trump, and like,

444
00:27:20,800 --> 00:27:22,440
Speaker 1: you know, a lot of people suspect it's going to

445
00:27:22,520 --> 00:27:26,280
Speaker 1: be a shaky transition of power. What kind of weird

446
00:27:26,320 --> 00:27:29,439
Speaker 1: ship could happen then, you know, I mean it's uh.

447
00:27:29,520 --> 00:27:31,639
Speaker 1: And also when you think of a lot of it too,

448
00:27:31,760 --> 00:27:35,560
Speaker 1: like as people become more and more disillusioned and disenfranchised

449
00:27:35,600 --> 00:27:38,879
Speaker 1: by capitalism, you are going to see people take up

450
00:27:39,359 --> 00:27:42,240
Speaker 1: to take to the streets to exercise their power to

451
00:27:42,359 --> 00:27:44,640
Speaker 1: be like, Okay, I get it. One percent of you'all

452
00:27:44,680 --> 00:27:49,280
Speaker 1: own this ship, but there's of us and we're fucking angry,

453
00:27:50,280 --> 00:27:52,320
Speaker 1: and I'm gonna take your ship now. But I can

454
00:27:52,359 --> 00:27:54,200
Speaker 1: see the Internet shutting down then too, or it's like

455
00:27:54,359 --> 00:27:59,439
Speaker 1: um yeah, yeah, yeah, and uh. This came up over

456
00:27:59,520 --> 00:28:02,680
Speaker 1: the weekend because Google Cloud went down I think for

457
00:28:04,000 --> 00:28:07,520
Speaker 1: other reasons, not because the government was shutting it down,

458
00:28:07,800 --> 00:28:10,480
Speaker 1: but just testing if they could shut it. People were

459
00:28:11,119 --> 00:28:15,000
Speaker 1: wondering if this was the government like testing a kill switch.

460
00:28:16,520 --> 00:28:19,920
Speaker 1: Do you guys like back everything up? No, I back

461
00:28:20,000 --> 00:28:22,400
Speaker 1: every website I go to up on a hard drive.

462
00:28:24,040 --> 00:28:29,280
Speaker 1: That would be excessive. I only back that thing. Yeah,

463
00:28:29,720 --> 00:28:33,119
Speaker 1: everything on hard drives, everything on old c ds. You

464
00:28:33,160 --> 00:28:36,119
Speaker 1: know what I mean, CDR WS, CDR W plus is

465
00:28:36,240 --> 00:28:38,640
Speaker 1: you know what I mean? Um, you know, oddly enough,

466
00:28:38,720 --> 00:28:40,600
Speaker 1: I just don't take care of a lot of my media,

467
00:28:41,040 --> 00:28:43,360
Speaker 1: Like everything is so transient to me. I'm like, am

468
00:28:43,400 --> 00:28:45,120
Speaker 1: I really gonna look at photos that I took three

469
00:28:45,200 --> 00:28:46,760
Speaker 1: years ago? Probably not, because half the time I'm just

470
00:28:46,800 --> 00:28:49,280
Speaker 1: taking photos of dumb ship that like I'll never be

471
00:28:49,440 --> 00:28:53,600
Speaker 1: like gather around kids. This is when Junip played at

472
00:28:53,680 --> 00:29:00,840
Speaker 1: Outside Lands. Jose Gonzalez's voice would haunt me. It's like

473
00:29:01,000 --> 00:29:04,760
Speaker 1: a Swedish what's that guy's name? Who's who's saying you

474
00:29:04,840 --> 00:29:08,760
Speaker 1: got a friend? James Taylor? O, God, yeah, James Taylor

475
00:29:08,840 --> 00:29:10,600
Speaker 1: saying you got a friend in me. He's saying a

476
00:29:10,720 --> 00:29:15,560
Speaker 1: version of you you got down in a need. That

477
00:29:15,680 --> 00:29:18,400
Speaker 1: was my eighth grade graduation song. We wanted it to

478
00:29:18,480 --> 00:29:20,600
Speaker 1: be Saved Tonight by Eagle Light Cherry and the schools

479
00:29:20,640 --> 00:29:24,960
Speaker 1: like that blasphemous We're going to fight the break of dawn.

480
00:29:26,040 --> 00:29:31,040
Speaker 1: Save Tonight was like the controversial thing. You know, everyone

481
00:29:31,160 --> 00:29:33,840
Speaker 1: was like, it's got to be safe to eighth grade

482
00:29:33,840 --> 00:29:37,880
Speaker 1: graduations a whack as fuck. Just a backstory, Remember I

483
00:29:37,960 --> 00:29:41,040
Speaker 1: told you the person whose whole personality was the sugar

484
00:29:41,120 --> 00:29:43,120
Speaker 1: Ray video Fly was shot at my godmother's back. Here

485
00:29:43,640 --> 00:29:49,600
Speaker 1: she led the charge on making safe tonight grade graduation song. Wow, hero,

486
00:29:52,080 --> 00:29:54,440
Speaker 1: my god, I'm sorry I interrupted you the worm Now

487
00:29:54,520 --> 00:29:55,800
Speaker 1: it's okay. I was just going to ask them, like

488
00:29:55,920 --> 00:29:57,680
Speaker 1: Lulu thing, which was like, do you think her like

489
00:29:57,800 --> 00:29:59,880
Speaker 1: children are going to be as like curious about like

490
00:30:00,120 --> 00:30:03,880
Speaker 1: our pictures as we are about our parents and my parents,

491
00:30:03,920 --> 00:30:08,160
Speaker 1: And you're like, oh, ship got the like yeah right there,

492
00:30:08,240 --> 00:30:11,600
Speaker 1: Like dad had a six pack. Yeah, there wasn't bullshit

493
00:30:11,680 --> 00:30:14,760
Speaker 1: in the food. And also we're doing cocaine. Yeah, yeah,

494
00:30:15,000 --> 00:30:19,720
Speaker 1: cocaine was good. Was a diet. We called him pet pills.

495
00:30:20,200 --> 00:30:23,280
Speaker 1: It was math. I think so because I think we

496
00:30:23,320 --> 00:30:25,200
Speaker 1: always have a fascination with our parents. We only know

497
00:30:25,280 --> 00:30:28,560
Speaker 1: our parents as like these Disney creatures that we make

498
00:30:28,680 --> 00:30:31,080
Speaker 1: like perfect or whatever. Unless you know, however you're raised,

499
00:30:31,120 --> 00:30:33,480
Speaker 1: he might come to the realization they're not perfect. But

500
00:30:33,600 --> 00:30:36,200
Speaker 1: I think on some level every kid always wants to

501
00:30:36,280 --> 00:30:38,680
Speaker 1: kind of know, like what was life like before I

502
00:30:38,800 --> 00:30:41,680
Speaker 1: fucked it all up? According to what you say when

503
00:30:41,720 --> 00:30:46,240
Speaker 1: you and like the thought experiment of like if I

504
00:30:46,360 --> 00:30:50,000
Speaker 1: ran into my dad, he was my age should be tight?

505
00:30:50,080 --> 00:30:52,440
Speaker 1: Would I like him? Yeah? Would would he be tight?

506
00:30:52,520 --> 00:30:55,520
Speaker 1: Would he be tight? Would he not like? Would I

507
00:30:55,600 --> 00:30:59,120
Speaker 1: would my dad try to like flirt with me? Oh wow,

508
00:30:59,600 --> 00:31:04,120
Speaker 1: here's some Artie mcflish. Well, that is actually the thought

509
00:31:04,200 --> 00:31:07,040
Speaker 1: experiment that led to the writing of Back to the Future.

510
00:31:07,200 --> 00:31:09,720
Speaker 1: The writer like had the thought would I like, what

511
00:31:09,840 --> 00:31:12,360
Speaker 1: if I could go to high school with my dad?

512
00:31:13,120 --> 00:31:15,239
Speaker 1: Would I get in a way like would my mom

513
00:31:15,320 --> 00:31:17,680
Speaker 1: be like I'm actually feeling this dude, right, And I'm like,

514
00:31:17,760 --> 00:31:25,600
Speaker 1: you're my mom? But whoa incons recreated the thought process

515
00:31:25,720 --> 00:31:28,640
Speaker 1: that led to Back to the Future. Yeah, yeah, I

516
00:31:28,720 --> 00:31:30,680
Speaker 1: do wonder though, because there's going to be so much

517
00:31:30,800 --> 00:31:39,080
Speaker 1: more video and chi yeah, and like content that's been created,

518
00:31:39,280 --> 00:31:42,120
Speaker 1: you know, like they'll be like I found your YouTube channel, Dad.

519
00:31:42,120 --> 00:31:44,360
Speaker 1: I'm like, oh no, no, no, no, yeah, yeah, that's

520
00:31:44,360 --> 00:31:47,760
Speaker 1: still I thought YouTube died in the franchise Wards. I

521
00:31:47,800 --> 00:31:50,720
Speaker 1: could disappear tomorrow. My kids would have plenty of me

522
00:31:50,880 --> 00:31:54,360
Speaker 1: to yeah deal with. There's plenty algorithmsdcast. They could take

523
00:31:54,400 --> 00:31:57,040
Speaker 1: a bunch of material from Cracked whatever this podcast and

524
00:31:57,280 --> 00:32:01,280
Speaker 1: create a yeah, like a machine learned version of you. Yeah,

525
00:32:01,600 --> 00:32:05,760
Speaker 1: like that Black Mirror episode. Good Black Mirror. Yeah, well

526
00:32:05,800 --> 00:32:07,320
Speaker 1: that was a company that was saying, like you could

527
00:32:07,320 --> 00:32:09,320
Speaker 1: take emails and social media stuff and then like create

528
00:32:09,360 --> 00:32:11,680
Speaker 1: a chatbot that would at least mimic your the way

529
00:32:11,720 --> 00:32:13,959
Speaker 1: you spoke and like the ship so you wouldn't hear

530
00:32:13,960 --> 00:32:15,440
Speaker 1: a voice, but you could just log on and be like,

531
00:32:15,880 --> 00:32:17,960
Speaker 1: I uploaded my dad's emails to this, and now I

532
00:32:18,000 --> 00:32:19,880
Speaker 1: could talk to the email. That was how the black

533
00:32:19,960 --> 00:32:27,800
Speaker 1: Mirror your what's black Mirror? Um, it's a black superhero.

534
00:32:28,640 --> 00:32:32,680
Speaker 1: Oh the dude who got bit by the radioactive mirror. Uh?

535
00:32:33,040 --> 00:32:38,959
Speaker 1: All right, let's talk about Nancy Pelosi, a black guy

536
00:32:39,000 --> 00:32:46,680
Speaker 1: who got bit black. Uh. Uh So there's a pharmaceutical

537
00:32:46,800 --> 00:32:52,560
Speaker 1: bill she's touting, uh that would help solve runaway drug pricing. Yeah.

538
00:32:52,680 --> 00:32:55,480
Speaker 1: I mean, look, she's got a bill right on the surface,

539
00:32:55,720 --> 00:32:58,400
Speaker 1: we're talking about things that will help people, that will

540
00:32:58,600 --> 00:33:01,800
Speaker 1: that will move of this society into a place where

541
00:33:01,840 --> 00:33:07,320
Speaker 1: we're not treating people as if their profits. I think

542
00:33:07,640 --> 00:33:09,520
Speaker 1: the Internet will get shut down when we're on the

543
00:33:09,560 --> 00:33:13,160
Speaker 1: way to having that moment. Anyway. Uh So, the deal is,

544
00:33:13,840 --> 00:33:16,280
Speaker 1: this is a new bill that's basically empowers the Health

545
00:33:16,320 --> 00:33:20,160
Speaker 1: and Human Services Secretary to negotiate lower drug prices for

546
00:33:20,400 --> 00:33:23,160
Speaker 1: what they say, at least twenty five prescription drugs each year,

547
00:33:23,400 --> 00:33:27,240
Speaker 1: and if the negotiation is unsuccessful, uh, like another office

548
00:33:27,320 --> 00:33:29,440
Speaker 1: would then be allowed to set a price closer to

549
00:33:29,520 --> 00:33:32,360
Speaker 1: the typical amount that is being charged in other countries,

550
00:33:32,400 --> 00:33:36,080
Speaker 1: because obviously, like we have the most lidy prices for

551
00:33:36,120 --> 00:33:39,000
Speaker 1: pharmaceuticals that you should go broke if you have asthma

552
00:33:39,240 --> 00:33:43,920
Speaker 1: or diabetes. So it sounds fine, but when you look

553
00:33:44,000 --> 00:33:47,120
Speaker 1: at who the funk the HHS secretary is, Alex Aser.

554
00:33:47,480 --> 00:33:51,280
Speaker 1: He is a former drug company exact and pharma lobbyist,

555
00:33:51,600 --> 00:33:53,000
Speaker 1: So what the funk is he going to do to

556
00:33:53,080 --> 00:33:55,400
Speaker 1: negotiate with his home He's like, yeah, bro, they sent

557
00:33:55,480 --> 00:33:56,800
Speaker 1: me to negotiate with y'all. What do you wanna do?

558
00:33:56,880 --> 00:33:59,800
Speaker 1: Raise a five? Let's do it. Um. So that's why

559
00:33:59,800 --> 00:34:01,680
Speaker 1: I've were like, what the funk is this bill? Like

560
00:34:01,760 --> 00:34:04,080
Speaker 1: it's really doesn't make sense. It's like just based on

561
00:34:04,200 --> 00:34:07,800
Speaker 1: the environment we're in right now, this would not help anybody.

562
00:34:08,360 --> 00:34:10,400
Speaker 1: And now, and I think it was in the New

563
00:34:10,440 --> 00:34:14,399
Speaker 1: Republic or No Mother Jones, um, this one opinion writer

564
00:34:14,520 --> 00:34:17,400
Speaker 1: was saying like, well, this could be something a little

565
00:34:17,480 --> 00:34:21,200
Speaker 1: more forward thinking now, you know, like we like on

566
00:34:21,280 --> 00:34:23,440
Speaker 1: the surfaces, you're like, this is a non deal, Like

567
00:34:23,520 --> 00:34:25,560
Speaker 1: this doesn't even make sense, why would this happen? But

568
00:34:26,200 --> 00:34:30,200
Speaker 1: what if a Democrat wins and it's in the White

569
00:34:30,239 --> 00:34:33,320
Speaker 1: House and then the new administration would already have a

570
00:34:33,480 --> 00:34:38,000
Speaker 1: law in place that would allow the new HHS Secretary

571
00:34:38,080 --> 00:34:40,800
Speaker 1: to renegotiate drug prices and you don't need a fucking

572
00:34:41,080 --> 00:34:45,040
Speaker 1: single Republican vote to do it. And then because right now,

573
00:34:46,000 --> 00:34:49,480
Speaker 1: I mean, at worst prices won't change right with this

574
00:34:49,800 --> 00:34:52,560
Speaker 1: with this HHS secretary, or probably could go up um

575
00:34:52,680 --> 00:34:54,880
Speaker 1: and then at best maybe goes down a little. But

576
00:34:55,000 --> 00:34:57,239
Speaker 1: if this is already signed into law, then you have

577
00:34:57,320 --> 00:34:59,160
Speaker 1: a stealthy way to just sort of get your new

578
00:34:59,480 --> 00:35:02,120
Speaker 1: plans in motion once somebody takes a White House. So

579
00:35:02,480 --> 00:35:04,760
Speaker 1: that's why some people like, is this nine D chess

580
00:35:05,160 --> 00:35:07,640
Speaker 1: or is this terrible fucking governance where you're just trying

581
00:35:07,680 --> 00:35:11,120
Speaker 1: to work with this government with this administration who probably

582
00:35:11,160 --> 00:35:14,360
Speaker 1: won't help anybody um and give them a win. But

583
00:35:14,480 --> 00:35:16,640
Speaker 1: I think, you know, it's interesting to sort of consider

584
00:35:16,760 --> 00:35:19,560
Speaker 1: like what is going on, like what what is really

585
00:35:19,600 --> 00:35:21,799
Speaker 1: the deal here with this bill? And I think GOP

586
00:35:21,920 --> 00:35:23,719
Speaker 1: Congress people are kind of onto it. Because they're not

587
00:35:23,840 --> 00:35:26,359
Speaker 1: exactly supporting the bill because I think they can see

588
00:35:26,640 --> 00:35:28,399
Speaker 1: it could be a set up move for a little

589
00:35:29,080 --> 00:35:32,600
Speaker 1: pharma checkmate. But you know, I don't have really I

590
00:35:32,640 --> 00:35:36,799
Speaker 1: don't really have much hope or faith when it comes

591
00:35:36,840 --> 00:35:40,960
Speaker 1: to set the drug prices. Pharmaceutical executives will just change

592
00:35:41,040 --> 00:35:45,960
Speaker 1: things for our good their own, with only themselves over

593
00:35:46,640 --> 00:35:50,000
Speaker 1: overseeing the process. They're like lower costs, Um, do you

594
00:35:50,080 --> 00:35:52,440
Speaker 1: know how much it costs to heat my marble floors?

595
00:35:54,320 --> 00:35:56,719
Speaker 1: Fuck off? I mean, this is a question that people

596
00:35:56,840 --> 00:36:00,480
Speaker 1: had about Nancy Pelosi when it comes to impede, like

597
00:36:00,560 --> 00:36:04,520
Speaker 1: whether she's slow rolling things because she knows that there's

598
00:36:04,560 --> 00:36:07,279
Speaker 1: going to be an impeachment, but she wants to like

599
00:36:07,440 --> 00:36:09,719
Speaker 1: draw out all the facts or comes from a place

600
00:36:09,760 --> 00:36:11,680
Speaker 1: a pair of privileges and completely out of touch of

601
00:36:11,760 --> 00:36:14,359
Speaker 1: the existential threat that this administration faces people who aren't

602
00:36:14,360 --> 00:36:16,880
Speaker 1: like her, or there's that too, I don't know. Yes,

603
00:36:17,640 --> 00:36:19,640
Speaker 1: being casual, it's like, oh, we can do it at

604
00:36:19,640 --> 00:36:21,879
Speaker 1: the ballot box, like really telling these black and brown people,

605
00:36:21,920 --> 00:36:25,760
Speaker 1: these LGBTQ people, these every everybody else who is looking

606
00:36:25,840 --> 00:36:28,200
Speaker 1: down the barrel of a gun constantly and be like yeah,

607
00:36:28,239 --> 00:36:31,680
Speaker 1: I can wait till November, right, yeah, yeah, okay, yeah,

608
00:36:31,960 --> 00:36:35,879
Speaker 1: thank you, Maybe stay on until then. Yeah, And that's

609
00:36:35,920 --> 00:36:38,080
Speaker 1: thinking of like even now with like those ICEED attentions

610
00:36:38,320 --> 00:36:41,200
Speaker 1: ICEED detainees, or that that internal memo came out basically

611
00:36:41,280 --> 00:36:44,600
Speaker 1: them saying a lot of these depths were preventable Jesus,

612
00:36:44,760 --> 00:36:46,600
Speaker 1: and then that there were kids left advance for like

613
00:36:46,680 --> 00:36:49,600
Speaker 1: thirty nine hours and ship trying to reunite with their families,

614
00:36:49,680 --> 00:36:52,400
Speaker 1: Like ship is fucked up and we're trying to That's

615
00:36:52,440 --> 00:36:54,640
Speaker 1: why it's a On one hand, I wish she could

616
00:36:54,640 --> 00:36:58,120
Speaker 1: at least communicate that she understands the the existential threat

617
00:36:58,520 --> 00:37:00,480
Speaker 1: that's posed and be like, I'm not saying it's not

618
00:37:00,640 --> 00:37:02,719
Speaker 1: important what I need to do. I'm just trying to

619
00:37:02,760 --> 00:37:04,400
Speaker 1: let y'all know we have to get this is what

620
00:37:04,520 --> 00:37:08,160
Speaker 1: I'm thinking. But then again, that's political strategicy that she

621
00:37:08,200 --> 00:37:09,840
Speaker 1: probably don't want to, you know, show her hand. But

622
00:37:09,960 --> 00:37:12,680
Speaker 1: I think, you know, the cries for impeachment are growing

623
00:37:12,800 --> 00:37:15,920
Speaker 1: louder and louder, and even like even in leadership, like

624
00:37:16,040 --> 00:37:17,800
Speaker 1: you have people basically coming up being like, yeah, I

625
00:37:17,840 --> 00:37:22,160
Speaker 1: think in peachment is inevitable, like James C said that, Yeah, yeah,

626
00:37:22,239 --> 00:37:26,160
Speaker 1: I mean it needs to happen. We will see all right. Well,

627
00:37:26,200 --> 00:37:31,200
Speaker 1: speaking of and that election, the town halls with that

628
00:37:31,640 --> 00:37:34,759
Speaker 1: you know CNN and Fox News are doing with the

629
00:37:35,400 --> 00:37:38,320
Speaker 1: thirty different candidates, people who have thrown their hat in

630
00:37:38,320 --> 00:37:41,000
Speaker 1: the ring for president. Yeah, I mean they've been kind

631
00:37:41,040 --> 00:37:44,600
Speaker 1: of the main way that people have shown their face

632
00:37:44,760 --> 00:37:49,960
Speaker 1: to to the American public. And apparently people have not

633
00:37:50,200 --> 00:37:54,920
Speaker 1: seen anything that's really changed how they were thinking up

634
00:37:55,000 --> 00:37:58,840
Speaker 1: to that point in these because uh, a poll was

635
00:37:58,960 --> 00:38:02,920
Speaker 1: just released. The found that their approval ratings are like

636
00:38:03,400 --> 00:38:07,080
Speaker 1: how they're doing in the polls hasn't really changed at

637
00:38:07,120 --> 00:38:11,120
Speaker 1: all from before to after their town halls. Yeah, there's

638
00:38:11,200 --> 00:38:13,919
Speaker 1: not like a lot of people were like, oh man, yeah,

639
00:38:13,960 --> 00:38:15,520
Speaker 1: I get in front of a different audience. This will

640
00:38:15,520 --> 00:38:18,600
Speaker 1: probably help, This will help. And Washington Post did pretty

641
00:38:18,719 --> 00:38:23,400
Speaker 1: thorough analysis and they said the biggest impact for anybody

642
00:38:23,480 --> 00:38:26,719
Speaker 1: with polling numbers came from campaign announcements. Like that's when

643
00:38:26,760 --> 00:38:29,719
Speaker 1: they saw bumps or people that like very interested. A

644
00:38:29,800 --> 00:38:33,680
Speaker 1: town hall aired and they're like yeah, like okay, something's

645
00:38:33,719 --> 00:38:36,200
Speaker 1: on TV. It's the field is just so crowded and

646
00:38:36,280 --> 00:38:38,160
Speaker 1: like when it comes to like some of these uh,

647
00:38:38,280 --> 00:38:42,160
Speaker 1: not lesser, but lesser no, we'll call him lesser candidates. Uh.

648
00:38:42,560 --> 00:38:44,960
Speaker 1: People just if you're not fully engaged with that candidate,

649
00:38:45,000 --> 00:38:47,080
Speaker 1: like chances are you're not tuning in for because it's

650
00:38:47,160 --> 00:38:50,879
Speaker 1: there's too much noise right now. Um. But the people

651
00:38:50,920 --> 00:38:52,680
Speaker 1: who did kind of get bumps were people who were

652
00:38:52,719 --> 00:38:55,279
Speaker 1: like at the higher end, like the Biden sanders Is

653
00:38:55,440 --> 00:38:58,040
Speaker 1: of the world. They got bumps from there a little

654
00:38:58,040 --> 00:39:01,040
Speaker 1: bit like a town hall no no, no, I mean

655
00:39:01,080 --> 00:39:06,319
Speaker 1: I'm sorry more mostly Kamala Harris, Karma Harris and Bernie Sanders, um,

656
00:39:07,000 --> 00:39:09,720
Speaker 1: and so you know, those things had a slight effect,

657
00:39:09,719 --> 00:39:10,960
Speaker 1: but nothing where they'd be like, hey, that was a

658
00:39:11,000 --> 00:39:13,399
Speaker 1: good move you did that town hall because that helped here.

659
00:39:13,640 --> 00:39:17,080
Speaker 1: The only person who was actually an exception was pe Bud.

660
00:39:17,920 --> 00:39:21,160
Speaker 1: He kind of went because that first basically town hall

661
00:39:21,239 --> 00:39:24,160
Speaker 1: like made people be like, oh, who's this guy? Yeah,

662
00:39:24,160 --> 00:39:26,520
Speaker 1: I feel like I kicked off the whole media wave.

663
00:39:26,640 --> 00:39:28,920
Speaker 1: Yeah it did. And his Twitter they showed there was

664
00:39:28,960 --> 00:39:32,040
Speaker 1: a graph of his Twitter interactions like the day after

665
00:39:32,360 --> 00:39:36,759
Speaker 1: it's a hockey stick like it goes. So that helped him.

666
00:39:36,840 --> 00:39:38,840
Speaker 1: But then there are other people like you know, Christian

667
00:39:39,080 --> 00:39:41,800
Speaker 1: Jilibrand she just had one and had like an interesting

668
00:39:41,840 --> 00:39:45,279
Speaker 1: moment on Fox, like dunking on Fox, and those are

669
00:39:45,320 --> 00:39:47,759
Speaker 1: like the moments you hope for. But we don't know.

670
00:39:47,960 --> 00:39:50,839
Speaker 1: There hasn't been pulling in the wake of that town hall,

671
00:39:50,880 --> 00:39:52,239
Speaker 1: so we don't know how much that helped her. But

672
00:39:52,440 --> 00:39:54,800
Speaker 1: I know she's still struggling to get like to qualify

673
00:39:54,880 --> 00:39:58,640
Speaker 1: for debates. Yeah, I mean, I don't Television is a

674
00:39:58,800 --> 00:40:02,640
Speaker 1: bad way to who find information. Like people aren't going

675
00:40:02,680 --> 00:40:05,719
Speaker 1: to tune in unless they just want to see more

676
00:40:06,000 --> 00:40:08,680
Speaker 1: of what they already like about the person. So I

677
00:40:08,760 --> 00:40:10,920
Speaker 1: get worried about people who only tune into TV to

678
00:40:10,960 --> 00:40:13,920
Speaker 1: find information to you know. Yeah, I think for this

679
00:40:14,160 --> 00:40:16,520
Speaker 1: to be a big swing, it would have to be

680
00:40:16,920 --> 00:40:19,840
Speaker 1: with people who like have tuned in or are deciding

681
00:40:19,880 --> 00:40:23,279
Speaker 1: to tune into like all twenty town halls and then

682
00:40:23,600 --> 00:40:27,280
Speaker 1: like make their decision. And that's just like the internet exists.

683
00:40:27,840 --> 00:40:31,640
Speaker 1: We can just go read articles about these people. We

684
00:40:31,719 --> 00:40:34,520
Speaker 1: don't need to, right. It's funny and also too, I

685
00:40:34,560 --> 00:40:37,120
Speaker 1: wonder if subconsciously, like when you turn on the TV,

686
00:40:37,760 --> 00:40:40,000
Speaker 1: like if you're already putting yourself and like I'm going

687
00:40:40,040 --> 00:40:43,719
Speaker 1: into a world of wonder and fantasy where like that

688
00:40:43,840 --> 00:40:46,040
Speaker 1: it works on you because normally just there for entertainment.

689
00:40:46,360 --> 00:40:48,360
Speaker 1: So then suddenly when you're looking at like images of

690
00:40:48,480 --> 00:40:51,839
Speaker 1: things that should move you, you're like, that's a weird show. Yeah,

691
00:40:52,200 --> 00:40:54,000
Speaker 1: you don't have to interact with it the way you

692
00:40:54,080 --> 00:40:59,400
Speaker 1: do with like the internet. Yeah, it's a fully passive medium. Yeah, yeah, totally, um,

693
00:40:59,800 --> 00:41:02,799
Speaker 1: but it at the same time, it can be hugely influential.

694
00:41:02,960 --> 00:41:06,239
Speaker 1: But I think it it's sort of the overall like

695
00:41:07,480 --> 00:41:10,759
Speaker 1: with Trump, the fact that he got like triple the

696
00:41:10,840 --> 00:41:14,040
Speaker 1: coverage of any other Republican candidate. You know, that's a

697
00:41:14,920 --> 00:41:18,960
Speaker 1: over time and the fact that it was just so overwhelming,

698
00:41:19,120 --> 00:41:24,120
Speaker 1: Like the the preponderance of TV coverage does influence people. Yeah,

699
00:41:24,200 --> 00:41:27,399
Speaker 1: I just feel like a single appearance is not gonna

700
00:41:28,120 --> 00:41:30,560
Speaker 1: swing things. So it's got to be frustrating to be

701
00:41:31,400 --> 00:41:38,799
Speaker 1: like number sixteen through number six through twenty. Yeah. Well

702
00:41:38,840 --> 00:41:41,319
Speaker 1: that's why I think maybe the debate stage will change things.

703
00:41:41,920 --> 00:41:44,839
Speaker 1: You know, when you see people like call each other out.

704
00:41:44,960 --> 00:41:47,120
Speaker 1: I mean, I don't know how deep. We're not quite

705
00:41:47,160 --> 00:41:50,880
Speaker 1: into mud mud time yet, but I have a feeling

706
00:41:50,920 --> 00:41:53,879
Speaker 1: when you start comparing people on stage side by side,

707
00:41:53,960 --> 00:41:55,560
Speaker 1: that will probably help people a little bit more to

708
00:41:55,640 --> 00:41:57,279
Speaker 1: be like, oh, you know, what actually when I put

709
00:41:57,400 --> 00:41:59,480
Speaker 1: this person next to this person, I don't like that

710
00:41:59,560 --> 00:42:01,800
Speaker 1: one someone. Mud time is the one day year that

711
00:42:01,960 --> 00:42:08,640
Speaker 1: you mud time. Guys, what a terrible time for beato

712
00:42:08,680 --> 00:42:11,200
Speaker 1: Arour to choose for this to be his mud time

713
00:42:12,400 --> 00:42:14,719
Speaker 1: on the debate stage. Could not get an answer in

714
00:42:15,520 --> 00:42:18,440
Speaker 1: poll numbers in the toilet, could not hear him through

715
00:42:18,480 --> 00:42:25,120
Speaker 1: his ship guilt, couldn't articulate one answer. What a bad choice?

716
00:42:25,320 --> 00:42:31,320
Speaker 1: And what would you do about the family separation? Okay, okay,

717
00:42:31,600 --> 00:42:35,560
Speaker 1: what about you, Bernie? Yeah, we we still are not

718
00:42:35,920 --> 00:42:39,360
Speaker 1: at the point in the two thousand and sixteen election

719
00:42:39,400 --> 00:42:43,560
Speaker 1: where Trump entered the race. So that's also worth keeping

720
00:42:43,600 --> 00:42:46,479
Speaker 1: in mind that the winning candidate had not yet entered

721
00:42:46,520 --> 00:42:51,120
Speaker 1: the race in our last presidential election. All Right, we're

722
00:42:51,120 --> 00:43:03,880
Speaker 1: gonna take another quick break. We'll be right back, and

723
00:43:04,040 --> 00:43:09,040
Speaker 1: we're back, and so are punked and single out Baby,

724
00:43:09,600 --> 00:43:13,600
Speaker 1: single out, um Man, singled out. We were just thinking

725
00:43:13,640 --> 00:43:16,840
Speaker 1: about the fact that it was hosted by Chris Hardwick

726
00:43:17,560 --> 00:43:24,640
Speaker 1: and Jenny McCarthy. Yeah, yeah, just like two of the Yeah,

727
00:43:24,800 --> 00:43:28,680
Speaker 1: they're problematic figures. They're two people who probably wouldn't be

728
00:43:28,760 --> 00:43:31,040
Speaker 1: asked to host now, even for Nostalgia's sake, they be

729
00:43:31,120 --> 00:43:37,680
Speaker 1: like yeah, yeah, but um I remember singled Out. I

730
00:43:37,840 --> 00:43:40,320
Speaker 1: loved it because I was only like twelve or some

731
00:43:40,360 --> 00:43:42,560
Speaker 1: ship at the time. I didn't know what was going on. Yeah,

732
00:43:42,600 --> 00:43:46,520
Speaker 1: and I was just like I like McCarthy, yeah, like

733
00:43:46,680 --> 00:43:51,120
Speaker 1: in conjunction with next or like same philosophy? What is it?

734
00:43:51,400 --> 00:43:54,719
Speaker 1: Oh much worse? It was a TV sound stage and

735
00:43:54,760 --> 00:43:58,120
Speaker 1: there would be one person and they would bring a

736
00:43:58,360 --> 00:44:01,960
Speaker 1: group of a hundred like extras out and then they

737
00:44:02,000 --> 00:44:05,480
Speaker 1: would like narrow it down by like fifty right. It

738
00:44:05,560 --> 00:44:11,200
Speaker 1: was almost like family, right, yeah, like do you like

739
00:44:12,160 --> 00:44:15,200
Speaker 1: salty or sweet? And like people who chose salty would

740
00:44:15,200 --> 00:44:18,080
Speaker 1: all be eliminated and then there would be like fifty

741
00:44:18,160 --> 00:44:23,000
Speaker 1: left and they'd keep like eliminating people and it was yeah,

742
00:44:23,040 --> 00:44:25,560
Speaker 1: I don't know, it was like didn't care because you

743
00:44:25,600 --> 00:44:27,840
Speaker 1: couldn't see them, like it was always like then they

744
00:44:27,840 --> 00:44:29,720
Speaker 1: would be like and this is the person you matched

745
00:44:29,800 --> 00:44:36,359
Speaker 1: up with, and they're like, oh sentient, maga hat thank you. Um,

746
00:44:36,719 --> 00:44:39,520
Speaker 1: but yeah, it's coming back, uh, just because you know,

747
00:44:39,680 --> 00:44:44,840
Speaker 1: I I heard the calls of my generation demanding singled

748
00:44:44,920 --> 00:44:47,560
Speaker 1: and punked, come back and get ready all because it's

749
00:44:47,600 --> 00:44:49,279
Speaker 1: coming back to one of the I mean the most

750
00:44:49,320 --> 00:44:54,040
Speaker 1: sought after platforms quite quick quick quick quick, be quieby

751
00:44:54,680 --> 00:44:58,120
Speaker 1: quite by quiet quigon gin like are these real? Word?

752
00:44:58,239 --> 00:45:01,480
Speaker 1: Like what? Ye oh? Man? Naming a startup is like

753
00:45:01,840 --> 00:45:04,640
Speaker 1: fucking god? Can you imagine people like the marketing people

754
00:45:04,680 --> 00:45:06,920
Speaker 1: who are like, like, you gotta call mark man. He

755
00:45:07,320 --> 00:45:16,319
Speaker 1: came up with Twitter, Quibi, Zonias, and Bell Vericos fans.

756
00:45:16,360 --> 00:45:19,480
Speaker 1: I don't know, so this one named Vera he named them.

757
00:45:20,000 --> 00:45:21,760
Speaker 1: But yeah, this one is going to be on queebie.

758
00:45:22,440 --> 00:45:24,960
Speaker 1: And but the thing is, it's like a mobile only

759
00:45:25,040 --> 00:45:28,040
Speaker 1: platform and each each shows you get twenty episodes that

760
00:45:28,080 --> 00:45:31,040
Speaker 1: are under ten minutes in length. Yes, so this is

761
00:45:31,200 --> 00:45:34,040
Speaker 1: filling a need that we were all begging for somebody

762
00:45:34,120 --> 00:45:38,560
Speaker 1: to come in and fill another video platform just for phone,

763
00:45:38,960 --> 00:45:42,880
Speaker 1: just for phone, this one just for phone and YouTube

764
00:45:42,960 --> 00:45:45,480
Speaker 1: link TV shows. We were all thinking that. We're all

765
00:45:45,520 --> 00:45:50,000
Speaker 1: thinking that because I'm a baby boomer, CEO is seven

766
00:45:50,080 --> 00:45:52,839
Speaker 1: years behind of what's actually happening, and no one who

767
00:45:52,880 --> 00:45:54,799
Speaker 1: works for me tells me the truth because they don't

768
00:45:54,800 --> 00:45:56,759
Speaker 1: want to get fired. So I continue to tank my

769
00:45:56,880 --> 00:46:00,440
Speaker 1: multibillion dollar company into the ground. Um, but it's not

770
00:46:00,760 --> 00:46:04,640
Speaker 1: even live as of this recording. Uh to go to

771
00:46:04,719 --> 00:46:09,440
Speaker 1: the website. It's like it's a partnership between Jeffrey Katzenberg

772
00:46:09,560 --> 00:46:13,400
Speaker 1: and Meg Whitman. Jeffrey Kattenberg is a huge you know,

773
00:46:13,600 --> 00:46:18,239
Speaker 1: Hollywood mover and shaker and Meg Whitman. Who's that again? Oh?

774
00:46:18,360 --> 00:46:21,279
Speaker 1: She remember she ran for governor in California and I

775
00:46:21,560 --> 00:46:25,759
Speaker 1: had to organize a few different protests actions against her.

776
00:46:26,160 --> 00:46:27,959
Speaker 1: Yeah she was. She was like, I was the CEO

777
00:46:28,000 --> 00:46:30,560
Speaker 1: of Hewlett Packard and now I'm here to fuck your

778
00:46:30,560 --> 00:46:33,759
Speaker 1: state up. And yeah, I remember there was a thing

779
00:46:33,840 --> 00:46:36,280
Speaker 1: we did with a bunch of nurses, like a nurses association,

780
00:46:36,320 --> 00:46:43,359
Speaker 1: where everybody wore Meg Whitman wigs. Yeah. This wasn't even

781
00:46:43,480 --> 00:46:46,040
Speaker 1: for his job working in the lobbying industry. And this

782
00:46:46,200 --> 00:46:48,360
Speaker 1: is just Miles when he gets pissed at somebody, I

783
00:46:48,440 --> 00:46:50,719
Speaker 1: just put a wig on, put my wigs on, call

784
00:46:50,840 --> 00:46:53,520
Speaker 1: up my nurse gang, and we come before you. That's

785
00:46:53,560 --> 00:46:55,400
Speaker 1: why we're gonna be at the eye Hoop on sunset

786
00:46:55,520 --> 00:46:58,320
Speaker 1: this Sunday. Please join us for action against this terrible,

787
00:46:58,400 --> 00:47:01,759
Speaker 1: terrible company. Stop playing with us. Um. But yeah, the

788
00:47:01,880 --> 00:47:05,600
Speaker 1: thing that this reminds me of, because I was in

789
00:47:05,880 --> 00:47:09,200
Speaker 1: a was working on a content thing with a partnership

790
00:47:09,280 --> 00:47:14,960
Speaker 1: with Jeffrey Katzenberg and Verizon, and it was yeah, they

791
00:47:15,000 --> 00:47:17,280
Speaker 1: were like it was really bit and big on go ninety.

792
00:47:17,520 --> 00:47:20,960
Speaker 1: The ship did not go there was also it didn't

793
00:47:21,000 --> 00:47:24,640
Speaker 1: even go one. It didn't even go one. Uh to

794
00:47:24,719 --> 00:47:28,160
Speaker 1: the left Samsung's milk video. Do you remember that? Oh

795
00:47:28,239 --> 00:47:32,759
Speaker 1: my god, that's right. Yeah. So this happens like almost annually.

796
00:47:33,040 --> 00:47:36,480
Speaker 1: There's like a big, you know, boatload of just like

797
00:47:36,560 --> 00:47:40,040
Speaker 1: a cruise ship full of money pulls up to Los

798
00:47:40,080 --> 00:47:43,320
Speaker 1: Angeles and it's just like, we're gonna do a proprietary

799
00:47:43,520 --> 00:47:47,520
Speaker 1: video platform and like you guys start making videos for it,

800
00:47:47,719 --> 00:47:51,000
Speaker 1: and then a bunch of talented creative people like make

801
00:47:51,040 --> 00:47:55,120
Speaker 1: a bunch of content and it goes onto this platform

802
00:47:55,520 --> 00:48:00,640
Speaker 1: that immediately like goes under right, and it's like, if

803
00:48:00,640 --> 00:48:03,520
Speaker 1: you're not a Verizon customer, how the funk? No one

804
00:48:03,560 --> 00:48:06,120
Speaker 1: gives a funk about going ninety. So like they just

805
00:48:06,239 --> 00:48:09,719
Speaker 1: don't think of how these media environments even work, which

806
00:48:09,760 --> 00:48:11,480
Speaker 1: is why I go back to this idea of like

807
00:48:11,640 --> 00:48:14,839
Speaker 1: these super out of touch old dudes making deals. Me like, yeah,

808
00:48:14,880 --> 00:48:16,960
Speaker 1: this is the future, you know how I know I

809
00:48:17,080 --> 00:48:23,080
Speaker 1: thought of something, So yeah, that's my that's the hook,

810
00:48:23,120 --> 00:48:26,000
Speaker 1: I'm hanging my ship on The Digi Day article says,

811
00:48:26,320 --> 00:48:31,160
Speaker 1: don't bet against Jeffrey Katzenberg. Okay, ba okay, bab alright,

812
00:48:31,239 --> 00:48:33,600
Speaker 1: bab If it ain't dream Works, I don't know what

813
00:48:33,840 --> 00:48:36,239
Speaker 1: is that? Quickly sounds too much like ku lude to me.

814
00:48:36,760 --> 00:48:41,759
Speaker 1: Wow quibby, Yeah yeah, it sounds like quibble quibble, Yeah, quaalude.

815
00:48:41,800 --> 00:48:45,120
Speaker 1: I think you're just thinking of because you want quaaludes,

816
00:48:46,000 --> 00:48:51,520
Speaker 1: which is fine. Evil men in charge? Yeah yeah, right,

817
00:48:51,880 --> 00:48:54,680
Speaker 1: this whole thing too, even with punked, right, so they're saying.

818
00:48:55,080 --> 00:48:57,560
Speaker 1: The People magazine article about it says now that technology

819
00:48:57,640 --> 00:49:00,920
Speaker 1: can really augment reality the upcoming Punk three but promises

820
00:49:00,960 --> 00:49:03,360
Speaker 1: to pull the boldest pranks on the biggest stars in Hollywood.

821
00:49:03,680 --> 00:49:05,680
Speaker 1: I'm sorry, you're not pulling the boldest pranks on the

822
00:49:05,719 --> 00:49:08,160
Speaker 1: biggest stars in Hollywood for ten minutes on a mobile

823
00:49:09,360 --> 00:49:11,239
Speaker 1: sunk out of here. You think they're gonna be like, oh, yeah,

824
00:49:11,239 --> 00:49:14,160
Speaker 1: I want to be on your platforms an about But

825
00:49:14,600 --> 00:49:17,040
Speaker 1: what are they doing like when they're this that line, Now,

826
00:49:17,120 --> 00:49:19,960
Speaker 1: the technology can really augment reality, Like what are they

827
00:49:20,040 --> 00:49:23,080
Speaker 1: fucking thinking? Like faking people? Yeah, they're like, oh, I

828
00:49:23,120 --> 00:49:27,279
Speaker 1: found this sex tape with your dad I was fucked up.

829
00:49:27,320 --> 00:49:29,920
Speaker 1: You were punk? Now, like your dad is such a

830
00:49:30,080 --> 00:49:37,839
Speaker 1: creepy word. Yeah, why choose that one, ch Um, Well,

831
00:49:37,880 --> 00:49:40,040
Speaker 1: if you think that is going to bring about the

832
00:49:40,080 --> 00:49:43,799
Speaker 1: collapse of civilization, I've got a new report that says

833
00:49:43,880 --> 00:49:49,800
Speaker 1: it's not gonna happen. That's not a good way to

834
00:49:49,880 --> 00:49:54,640
Speaker 1: talk about this story. Uh. So, a scientist and a

835
00:49:54,800 --> 00:49:59,759
Speaker 1: former energy executive have drawn on a type of analysis

836
00:49:59,800 --> 00:50:04,080
Speaker 1: called system analysis and basically say that catastrophic consequences are

837
00:50:04,200 --> 00:50:08,680
Speaker 1: more likely than most people assume from climate change, and

838
00:50:09,080 --> 00:50:13,839
Speaker 1: they're unavoidable without an immediate World War two level mobilization

839
00:50:13,920 --> 00:50:18,560
Speaker 1: of all the forces within like all of the countries, uh,

840
00:50:19,040 --> 00:50:24,239
Speaker 1: starting yesterday, starting uh to alter the trajectory of like

841
00:50:24,520 --> 00:50:28,279
Speaker 1: the global economy. Um. But they're basically saying that all

842
00:50:28,320 --> 00:50:31,960
Speaker 1: these different things, you know, like half a degree more

843
00:50:32,239 --> 00:50:34,200
Speaker 1: and like there will be more storms, and like all

844
00:50:34,239 --> 00:50:37,400
Speaker 1: these things are gonna build on each other, and uh,

845
00:50:37,960 --> 00:50:42,000
Speaker 1: you know, systems require a bunch of things to stay

846
00:50:42,239 --> 00:50:46,000
Speaker 1: stable for for them to operate properly, and so the

847
00:50:46,040 --> 00:50:50,520
Speaker 1: second you start like adding instability to those systems, it's

848
00:50:50,560 --> 00:50:54,600
Speaker 1: gonna get fucked up. Um. Yeah, yeah, See, if you

849
00:50:54,760 --> 00:50:57,319
Speaker 1: if you have boomer parents who don't get it, you'd like, Okay,

850
00:50:57,320 --> 00:51:00,400
Speaker 1: I think the environment is like your engine block. Okay,

851
00:51:00,800 --> 00:51:03,640
Speaker 1: Now what happens when even if if let's say a

852
00:51:04,719 --> 00:51:08,239
Speaker 1: fluid line transmission line goes out, how's the car working?

853
00:51:08,280 --> 00:51:11,120
Speaker 1: Oh it's pretty fucked up? Yeah, But to think about

854
00:51:11,160 --> 00:51:14,040
Speaker 1: that with the earth never mind. Just smoke your cigar

855
00:51:14,160 --> 00:51:19,279
Speaker 1: and where you keep listening to Jimmy Buffett fucking album? Um? Yeah,

856
00:51:19,400 --> 00:51:27,399
Speaker 1: I uh yeah, So what I got like twenty years years?

857
00:51:27,560 --> 00:51:31,000
Speaker 1: Okay you should I'll be like sixties. Yeah, I'll be seventy.

858
00:51:31,239 --> 00:51:36,960
Speaker 1: I'm good with you, quick steel. But you know, yeah,

859
00:51:37,040 --> 00:51:38,719
Speaker 1: when you have kids, it's kind of it's like, oh,

860
00:51:38,840 --> 00:51:41,400
Speaker 1: you're gonna be just hitting the prime of your life.

861
00:51:42,080 --> 00:51:45,799
Speaker 1: That's civilization. That's what fox me up when I think

862
00:51:45,800 --> 00:51:48,840
Speaker 1: about having a kid, because I'm like, everything I'm reading

863
00:51:49,000 --> 00:51:52,160
Speaker 1: says that child will just like look at a wall

864
00:51:52,239 --> 00:52:01,200
Speaker 1: of flame. Um. But you know, I was literally on

865
00:52:01,280 --> 00:52:02,640
Speaker 1: the maagin of my seat, like what I was going

866
00:52:02,719 --> 00:52:05,719
Speaker 1: to say to put this home? Can feel better about it? Well?

867
00:52:05,760 --> 00:52:09,200
Speaker 1: I think honestly, you know, you'd hope at some level, right,

868
00:52:09,239 --> 00:52:12,440
Speaker 1: I feel like at least public sentiment is moving in

869
00:52:12,520 --> 00:52:15,080
Speaker 1: the right direct direction and slowly, you know, like the

870
00:52:15,200 --> 00:52:17,600
Speaker 1: UK just had like their longest streak of no coal

871
00:52:17,760 --> 00:52:20,800
Speaker 1: energy like that that they've ever had. There's all this

872
00:52:20,960 --> 00:52:24,160
Speaker 1: incremental ship but like, I don't know, man, Like the

873
00:52:24,239 --> 00:52:27,600
Speaker 1: way we've looked at how our modern society works, like

874
00:52:27,719 --> 00:52:30,360
Speaker 1: either something has to happen financially for people with the

875
00:52:30,400 --> 00:52:33,919
Speaker 1: sun up, or something so fucking horrific that they're gonna

876
00:52:33,920 --> 00:52:36,799
Speaker 1: be like maybe we should do something. Because then that's

877
00:52:36,840 --> 00:52:40,160
Speaker 1: the problem with climate changes, that it doesn't have that

878
00:52:40,360 --> 00:52:46,160
Speaker 1: big horrific event that like everybody can mobilize around, like uh,

879
00:52:46,760 --> 00:52:51,440
Speaker 1: you know, Nazism. It's just a gradual like boiling frog

880
00:52:51,640 --> 00:52:55,600
Speaker 1: scenario where things just get worse and worse. But uh,

881
00:52:55,800 --> 00:52:58,000
Speaker 1: you know, this year's only a little bit worse than

882
00:52:58,120 --> 00:53:01,360
Speaker 1: last year. It's a lot where twenty years ago. But

883
00:53:01,640 --> 00:53:04,600
Speaker 1: we don't really think about that because I'm not true

884
00:53:04,640 --> 00:53:07,920
Speaker 1: that one summer in the World Cup, she was like

885
00:53:08,040 --> 00:53:11,040
Speaker 1: one nineteen one a couple of days. So that's why

886
00:53:11,719 --> 00:53:13,600
Speaker 1: things are getting cooler because last summer when my a

887
00:53:13,719 --> 00:53:16,600
Speaker 1: C went out, she was only one fifteen oh, And

888
00:53:16,640 --> 00:53:18,880
Speaker 1: that's how I put it into perspective point. Sometimes I

889
00:53:18,960 --> 00:53:22,360
Speaker 1: wonder if like socialism can only happen if an apocalypse happens.

890
00:53:23,480 --> 00:53:27,120
Speaker 1: Probably Yeah, well again, you know, I think in America, America,

891
00:53:27,520 --> 00:53:30,520
Speaker 1: of course, I mean we're the whole world. Yeah, um,

892
00:53:30,920 --> 00:53:32,319
Speaker 1: I mean we spend a lot of money to give

893
00:53:32,440 --> 00:53:38,240
Speaker 1: socialism and communism. Um and watch like Chernobyl and whatever.

894
00:53:38,360 --> 00:53:40,879
Speaker 1: The Soviet Union was like corrupt, but all of those

895
00:53:40,920 --> 00:53:42,920
Speaker 1: people were like, yes, I will like go into this

896
00:53:43,040 --> 00:53:46,600
Speaker 1: nuclear reactor for my country. Right. Also, communism is not

897
00:53:46,800 --> 00:53:53,520
Speaker 1: socialism autocratic and dictatorial right right? Um, Like I was,

898
00:53:53,640 --> 00:53:56,239
Speaker 1: I was listening to a podcast from five thirty eight

899
00:53:56,280 --> 00:53:59,480
Speaker 1: where they were talking about like whether you know there's

900
00:53:59,560 --> 00:54:04,040
Speaker 1: this uh perception that there is this huge right word

901
00:54:04,200 --> 00:54:08,760
Speaker 1: movement of uh you know, people going towards autocratic governments

902
00:54:09,320 --> 00:54:11,879
Speaker 1: around the world, and they were pointing out that there's

903
00:54:11,920 --> 00:54:16,040
Speaker 1: a lot of other examples where people are going towards

904
00:54:16,239 --> 00:54:19,520
Speaker 1: like green parties and like the who also tend to

905
00:54:19,560 --> 00:54:23,799
Speaker 1: be nationalist. But um, you know, and that makes sense

906
00:54:23,840 --> 00:54:28,080
Speaker 1: with this, so I could see things changing, people making

907
00:54:28,160 --> 00:54:31,360
Speaker 1: more and more radical changes because things are getting so

908
00:54:31,560 --> 00:54:38,520
Speaker 1: dire with with climate change. But uh, that also opens

909
00:54:38,560 --> 00:54:41,920
Speaker 1: things up to you know, things changing radically and people

910
00:54:42,080 --> 00:54:46,520
Speaker 1: deciding to make a huge right word swing and you

911
00:54:46,600 --> 00:54:51,520
Speaker 1: know then then all bets are off. Um, so yeah,

912
00:54:51,920 --> 00:54:59,040
Speaker 1: just something to think about. Warm, yeah, exactly, get you yeah,

913
00:54:59,120 --> 00:55:02,040
Speaker 1: get your get your vight pen store up on them things, man,

914
00:55:02,160 --> 00:55:06,000
Speaker 1: because you have a plan. Did you see that tweet

915
00:55:06,040 --> 00:55:08,359
Speaker 1: from the dude who was like, how are they gonna

916
00:55:08,400 --> 00:55:10,320
Speaker 1: funk with me? With this bug out bag? And it

917
00:55:10,440 --> 00:55:13,359
Speaker 1: was like forty guns and someone was like, well, you're

918
00:55:13,360 --> 00:55:18,239
Speaker 1: gonna die of thirst because there's no water there. It's

919
00:55:18,280 --> 00:55:21,279
Speaker 1: like all these guns and like knives and ship and

920
00:55:21,400 --> 00:55:26,520
Speaker 1: like not a single piece of food or drink knives, right, okay, um,

921
00:55:27,280 --> 00:55:30,480
Speaker 1: all right, let's talk about what a creepy place. YouTube

922
00:55:30,600 --> 00:55:34,799
Speaker 1: is the creepiest fucking ship, I mean, wigged me. Then

923
00:55:34,880 --> 00:55:37,800
Speaker 1: we talked a lot about how you know, you'll go

924
00:55:37,960 --> 00:55:40,839
Speaker 1: on a video being like I just want to see

925
00:55:41,440 --> 00:55:46,000
Speaker 1: liberals owning Trump and suddenly that is a good impression

926
00:55:46,040 --> 00:55:49,560
Speaker 1: to me. Yeah yeah, okay um, and then it like

927
00:55:49,680 --> 00:55:51,680
Speaker 1: you'll end up on some weird dark ship or how

928
00:55:51,719 --> 00:55:53,840
Speaker 1: typically people just want to start off like watching debate

929
00:55:53,920 --> 00:55:55,880
Speaker 1: videos and suddenly you're getting red pilled on like the

930
00:55:55,960 --> 00:55:59,520
Speaker 1: al right, YouTube world. So there was a study being

931
00:55:59,600 --> 00:56:02,319
Speaker 1: done when this Harvard researcher was like sort of looking

932
00:56:02,320 --> 00:56:05,000
Speaker 1: at the effects of YouTube, like specifically in Brazil, and

933
00:56:05,080 --> 00:56:08,359
Speaker 1: there was this mom who, like her ten year old daughter,

934
00:56:08,480 --> 00:56:11,239
Speaker 1: had uploaded a video of of like this, her daughter,

935
00:56:11,360 --> 00:56:13,360
Speaker 1: ten year old and her friends like playing in like

936
00:56:13,440 --> 00:56:16,400
Speaker 1: out of pool or something. And her daughter was like,

937
00:56:16,480 --> 00:56:18,880
Speaker 1: oh my god, the videos I got like two thousand

938
00:56:18,960 --> 00:56:21,120
Speaker 1: views and she's like, Okay. Then like a couple days

939
00:56:21,160 --> 00:56:23,840
Speaker 1: I was like videos four hundred thousand views and she's like,

940
00:56:23,960 --> 00:56:26,000
Speaker 1: what the funk y'all are just playing? This is not

941
00:56:26,080 --> 00:56:28,280
Speaker 1: even a long clip. This is not even good content,

942
00:56:29,360 --> 00:56:32,640
Speaker 1: is this? So come to find out, the people who

943
00:56:32,680 --> 00:56:36,799
Speaker 1: are watching it, we're not uh fans of home videos. Yeah,

944
00:56:36,840 --> 00:56:38,840
Speaker 1: this is not four in a thousand of your extended family. This.

945
00:56:39,160 --> 00:56:41,640
Speaker 1: These people were being like, we're getting there because of

946
00:56:41,719 --> 00:56:45,239
Speaker 1: the algorithm. Now, the whole thing is that from this

947
00:56:45,360 --> 00:56:48,400
Speaker 1: article says YouTube's automated recommendation system, which drives most of

948
00:56:48,440 --> 00:56:51,200
Speaker 1: the platforms billions of views by suggesting what users should

949
00:56:51,200 --> 00:56:53,719
Speaker 1: watch next, had begun showing the video to users who

950
00:56:53,760 --> 00:56:57,759
Speaker 1: watched other videos of prepubescent, partially clothed children. A team

951
00:56:57,840 --> 00:57:01,920
Speaker 1: of researchers has found so the algorithm is purely operating

952
00:57:01,920 --> 00:57:03,680
Speaker 1: on like what you like? You like that, Here's more

953
00:57:03,680 --> 00:57:05,400
Speaker 1: of that, here's more of that. Okay, what can I

954
00:57:05,480 --> 00:57:08,120
Speaker 1: tangently find this kind of like that? Okay, chew on that,

955
00:57:08,600 --> 00:57:10,959
Speaker 1: and then you end up going to this dark ass place.

956
00:57:12,000 --> 00:57:16,000
Speaker 1: So the sometimes people aren't even look starting off watching

957
00:57:16,240 --> 00:57:20,040
Speaker 1: young children videos again, it's it says that a user

958
00:57:20,040 --> 00:57:22,640
Speaker 1: who watches Arati videos might be recommended videos of women

959
00:57:22,680 --> 00:57:25,960
Speaker 1: who became conspicuously younger, and then women who posed provocatively

960
00:57:26,000 --> 00:57:28,840
Speaker 1: in children's clothes. Eventually, some users might be presented with

961
00:57:28,960 --> 00:57:30,680
Speaker 1: videos of girls as young as five or six wearing

962
00:57:30,720 --> 00:57:33,360
Speaker 1: bathing suits or getting dressed or doing a split on

963
00:57:33,480 --> 00:57:36,680
Speaker 1: its own. Each video might be perfectly innocent, a home movie, say,

964
00:57:36,800 --> 00:57:39,600
Speaker 1: made by a child, any revealing frames or fleeting and

965
00:57:39,680 --> 00:57:43,760
Speaker 1: a peer accidental, but grouped together, their shared features become unmistakable.

966
00:57:44,040 --> 00:57:46,600
Speaker 1: So what they did, all these people are like, okay,

967
00:57:46,720 --> 00:57:48,880
Speaker 1: we need to this can just be a coincidence. Let's

968
00:57:48,960 --> 00:57:52,400
Speaker 1: fucking do run experiment. They worked this algorithm thousands of

969
00:57:52,520 --> 00:57:55,720
Speaker 1: times to just understand what is going on, like how

970
00:57:55,720 --> 00:57:57,560
Speaker 1: are we getting from point A to point B? And

971
00:57:58,400 --> 00:58:01,440
Speaker 1: they just saw exactly how is functioning. When they and

972
00:58:01,560 --> 00:58:03,520
Speaker 1: this is again from the article quote. When they followed

973
00:58:03,560 --> 00:58:06,360
Speaker 1: recommendations on sexually themed videos, they noticed something they say

974
00:58:06,400 --> 00:58:08,880
Speaker 1: disturbed them. In many cases, the videos became more bizarre

975
00:58:09,240 --> 00:58:12,160
Speaker 1: or extreme and placed greater emphasis on youth. Videos of

976
00:58:12,200 --> 00:58:14,720
Speaker 1: women discussing sex, for example, sometimes led to videos of

977
00:58:14,760 --> 00:58:18,480
Speaker 1: women in underwear or breastfeeding, sometimes mentioning their age nineteen eighteen,

978
00:58:18,560 --> 00:58:22,400
Speaker 1: even sixteen. Some women's solicited donations from sugar daddies or

979
00:58:22,440 --> 00:58:24,959
Speaker 1: hinted at private videos. After a few clicks, some played

980
00:58:25,000 --> 00:58:28,840
Speaker 1: more overtly pre pubescence, uh posing in children's clothing from

981
00:58:28,840 --> 00:58:31,280
Speaker 1: their YouTube would suddenly begin recommending videos of young and

982
00:58:31,320 --> 00:58:34,000
Speaker 1: partially clothed children than a near endless stream of them

983
00:58:34,080 --> 00:58:37,360
Speaker 1: drawn primarily from Latin America and Eastern Europe. So when

984
00:58:37,400 --> 00:58:39,840
Speaker 1: they ask YouTube for comment, this is what they said.

985
00:58:40,320 --> 00:58:43,600
Speaker 1: It's not clear to us that necessarily our recommendation engine

986
00:58:43,640 --> 00:58:46,680
Speaker 1: takes you in one direction or another when it comes

987
00:58:46,720 --> 00:58:48,480
Speaker 1: to kids. We just want to take a much more

988
00:58:48,560 --> 00:58:51,160
Speaker 1: conservative stance for what we recommend. That's it. So they

989
00:58:51,240 --> 00:58:53,760
Speaker 1: basically just shrugged, I don't know, No, I don't think

990
00:58:53,760 --> 00:58:58,680
Speaker 1: it's a problem. Is it's just this is the kind

991
00:58:58,720 --> 00:59:01,280
Speaker 1: of this is that runaway tech knowledges and they're like, hello,

992
00:59:01,440 --> 00:59:03,240
Speaker 1: you're serving Like a lot of the times too, there

993
00:59:03,280 --> 00:59:06,480
Speaker 1: could be kids put their social media handles and videos

994
00:59:06,520 --> 00:59:09,960
Speaker 1: because they they're mimicking what they see influencers do. And

995
00:59:10,040 --> 00:59:13,440
Speaker 1: then suddenly, now predators on the internet can contind you

996
00:59:13,640 --> 00:59:16,919
Speaker 1: and begin grooming you. YouTube as a social media platform. Yeah,

997
00:59:17,320 --> 00:59:21,880
Speaker 1: so this is like the the response was so lack luster.

998
00:59:21,920 --> 00:59:23,760
Speaker 1: They've been like wow, all they said it was like,

999
00:59:23,840 --> 00:59:25,520
Speaker 1: we don't think it goes one way or another. I mean,

1000
00:59:25,600 --> 00:59:27,960
Speaker 1: look at all the people who say if people are

1001
00:59:27,960 --> 00:59:32,040
Speaker 1: getting radicalized through YouTube videos people, and then you come

1002
00:59:32,120 --> 00:59:34,320
Speaker 1: to this, it's like there is a rabbit hole effect

1003
00:59:34,520 --> 00:59:37,440
Speaker 1: that you're creating. And they also hate that term, like, oh,

1004
00:59:37,480 --> 00:59:38,920
Speaker 1: we don't like to say rabbit hole. We'd like to

1005
00:59:38,960 --> 00:59:44,720
Speaker 1: say bunny bunny, bunny pitting the floor that you go

1006
00:59:44,880 --> 00:59:46,240
Speaker 1: down and then when you come on the other side,

1007
00:59:46,320 --> 00:59:51,240
Speaker 1: it's all fucked type. But yeah, yeah, I mean this

1008
00:59:51,560 --> 00:59:57,480
Speaker 1: is you know, it's impossible for them to truly address

1009
00:59:57,600 --> 01:00:03,320
Speaker 1: this while maintain profitability because it's not like it's not

1010
01:00:03,440 --> 01:00:06,800
Speaker 1: like there's a dude somewhere who's like tag this as

1011
01:00:06,920 --> 01:00:13,360
Speaker 1: like child barely clothed it's just reacting to people clicking

1012
01:00:13,440 --> 01:00:16,800
Speaker 1: on it from other videos and like seeing that pattern

1013
01:00:17,080 --> 01:00:22,920
Speaker 1: and identifying it like just algorithmically. And if you needed

1014
01:00:23,320 --> 01:00:29,120
Speaker 1: to have enough people like monitoring all these different nations

1015
01:00:29,160 --> 01:00:32,920
Speaker 1: and all these different videos, uh, you know, YouTube wouldn't

1016
01:00:33,080 --> 01:00:36,080
Speaker 1: be able to stay in business. So there, and I

1017
01:00:36,160 --> 01:00:38,800
Speaker 1: mean that's like same deal with Facebook, or they would

1018
01:00:38,800 --> 01:00:41,400
Speaker 1: be able to stay in business, but they wouldn't be

1019
01:00:41,480 --> 01:00:44,800
Speaker 1: nearly as pro child views, like for kids using YouTube

1020
01:00:45,280 --> 01:00:48,840
Speaker 1: like innocently like actually kids just watching kids content that

1021
01:00:48,960 --> 01:00:51,720
Speaker 1: is a huge revenue stream. Oh yeah, so and a

1022
01:00:51,800 --> 01:00:54,240
Speaker 1: lot of experts like you could just do one thing,

1023
01:00:54,480 --> 01:00:57,680
Speaker 1: just stop take children's content or anything with kids out

1024
01:00:57,720 --> 01:01:00,640
Speaker 1: of the algorithm. Just remove that is a thing it

1025
01:01:00,680 --> 01:01:03,479
Speaker 1: can draw from to suggest videos. Then people aren't gonna

1026
01:01:03,480 --> 01:01:05,840
Speaker 1: be fucking going there. They're just gonna they'll cycle through

1027
01:01:05,880 --> 01:01:08,439
Speaker 1: all the ship that you're leaving in there. But there's

1028
01:01:08,560 --> 01:01:11,480
Speaker 1: but the but YouTube is like, well there's such a

1029
01:01:11,640 --> 01:01:15,160
Speaker 1: big traffic driver. It would hurt creators who rely on clicks.

1030
01:01:15,240 --> 01:01:18,080
Speaker 1: It's just like they're only they're only thinking about their

1031
01:01:18,120 --> 01:01:20,760
Speaker 1: own money. But meanwhile, you're you have like this soft

1032
01:01:21,160 --> 01:01:26,040
Speaker 1: weird softcore child pornographers or ship that people who are

1033
01:01:26,240 --> 01:01:29,000
Speaker 1: interested in this kind of fucked up ship or not

1034
01:01:29,160 --> 01:01:31,520
Speaker 1: that the videos themselves are sucked up, but looking at

1035
01:01:31,880 --> 01:01:34,080
Speaker 1: videos that are not intended for anything other than like

1036
01:01:34,200 --> 01:01:38,040
Speaker 1: this memory or something to then sexualize these kids or whatever.

1037
01:01:38,280 --> 01:01:41,320
Speaker 1: I think also to think like there's so many like

1038
01:01:41,480 --> 01:01:44,720
Speaker 1: prepubescent like kids who think that they're going to be

1039
01:01:44,920 --> 01:01:49,040
Speaker 1: YouTubers like as a career and like want to be influencers,

1040
01:01:49,560 --> 01:01:52,320
Speaker 1: and like, I don't know, it's just like golf feeding

1041
01:01:52,360 --> 01:01:55,400
Speaker 1: into the same creepy thing. Yeah, yeah, like that's actually

1042
01:01:55,440 --> 01:01:57,160
Speaker 1: a very common like what do you want to be

1043
01:01:57,280 --> 01:02:00,600
Speaker 1: when you not like movie star or like best player

1044
01:02:00,640 --> 01:02:03,320
Speaker 1: in the NBA, but like YouTube influencer because yeah, then

1045
01:02:03,600 --> 01:02:08,080
Speaker 1: you just live your life on YouTube and everybody loves you.

1046
01:02:08,480 --> 01:02:10,840
Speaker 1: Or even like talking to younger kids, like you know,

1047
01:02:11,040 --> 01:02:12,520
Speaker 1: like kids who are still in school and I'm like,

1048
01:02:12,560 --> 01:02:13,840
Speaker 1: what what do you want to do? And they're like,

1049
01:02:14,440 --> 01:02:16,520
Speaker 1: I want to I want to be like a model,

1050
01:02:17,240 --> 01:02:19,320
Speaker 1: and then they put their time on Instagram Instagram model

1051
01:02:19,720 --> 01:02:21,800
Speaker 1: and I'm like, god damn, Like yeah, you know, then

1052
01:02:21,800 --> 01:02:24,880
Speaker 1: people don't do shit, right, But also like but that's

1053
01:02:25,360 --> 01:02:28,720
Speaker 1: that's who we that's who's exalted in their world of

1054
01:02:28,840 --> 01:02:31,240
Speaker 1: like these are the top people you know. For me,

1055
01:02:31,400 --> 01:02:35,880
Speaker 1: it was Will Smith. It's telling also maybe like state

1056
01:02:36,000 --> 01:02:38,240
Speaker 1: of the economy, or like these kids are like this

1057
01:02:38,320 --> 01:02:39,960
Speaker 1: is how I'm going to get a job, Like this

1058
01:02:40,120 --> 01:02:42,400
Speaker 1: is how I'm going to make money, and like feed myself.

1059
01:02:42,720 --> 01:02:45,800
Speaker 1: They're looking at broke millennials like we're the first generation.

1060
01:02:45,880 --> 01:02:49,360
Speaker 1: Be like, I have to commodify my being because I

1061
01:02:49,480 --> 01:02:52,600
Speaker 1: have no job, I have no job prospects, so I

1062
01:02:52,680 --> 01:02:56,000
Speaker 1: must make myself the product. And then kids are looking

1063
01:02:56,080 --> 01:02:58,840
Speaker 1: up at that. That's the cool older sister, cool older whoever.

1064
01:02:58,960 --> 01:03:02,439
Speaker 1: You're like, Okay, modify your being. That's that's that's another

1065
01:03:02,520 --> 01:03:06,320
Speaker 1: path you can take. So if anything, if for parents

1066
01:03:06,400 --> 01:03:09,200
Speaker 1: out there, be like make sure your kids aren't if

1067
01:03:09,200 --> 01:03:12,760
Speaker 1: they're under eighteen, check out what they're uploading to YouTube.

1068
01:03:13,120 --> 01:03:15,080
Speaker 1: And also like if you really have videos you want

1069
01:03:15,080 --> 01:03:18,200
Speaker 1: to share, make them ship's private, and just distribute the

1070
01:03:18,280 --> 01:03:20,880
Speaker 1: link because then at least that way, it's only people

1071
01:03:20,960 --> 01:03:22,960
Speaker 1: who you know who have the link are going to

1072
01:03:23,080 --> 01:03:26,640
Speaker 1: see it. But but this is definitely a potential risk

1073
01:03:27,320 --> 01:03:30,960
Speaker 1: because YouTube doesn't give a fuck whether whatever the content is.

1074
01:03:31,040 --> 01:03:34,280
Speaker 1: It could be extremism, it can be things like inappropriate

1075
01:03:34,360 --> 01:03:37,480
Speaker 1: content with kids. It doesn't give a fuck. I mean,

1076
01:03:37,520 --> 01:03:39,480
Speaker 1: I wonder if the ship is going on on like

1077
01:03:39,640 --> 01:03:43,080
Speaker 1: Instagram too. I'm sure it is, right. I wonder probably

1078
01:03:43,160 --> 01:03:45,960
Speaker 1: through the explore page or something. I mean, that's all

1079
01:03:46,080 --> 01:03:50,560
Speaker 1: algorithmically based, isn't that Like yeah, I'm sure, but I

1080
01:03:50,600 --> 01:03:55,480
Speaker 1: guess if it doesn't seem like very smart the Instagram algorithm,

1081
01:03:55,880 --> 01:03:59,520
Speaker 1: because like I like the NBA video once and all

1082
01:03:59,600 --> 01:04:03,520
Speaker 1: I get NBA videos. It just seems like it's kind

1083
01:04:03,560 --> 01:04:07,040
Speaker 1: of basic maybe compared to the YouTube algorithm. Yeah. Yeah,

1084
01:04:07,360 --> 01:04:09,680
Speaker 1: it kind of harder to go down a whole in Instagram,

1085
01:04:09,760 --> 01:04:13,280
Speaker 1: I think, right, yeah, yeah, Well the food ones I

1086
01:04:13,440 --> 01:04:16,880
Speaker 1: go scroll to. My eyes go dry when I see

1087
01:04:16,960 --> 01:04:19,920
Speaker 1: like cheat melted cheese for whatever reason, I'm like, go on,

1088
01:04:21,320 --> 01:04:23,520
Speaker 1: I love videos or like they'll make a kiss and

1089
01:04:23,560 --> 01:04:25,560
Speaker 1: they just lifted up without the cheese, and I'm like, oh,

1090
01:04:25,720 --> 01:04:29,400
Speaker 1: ship reading and ship people who are just uploading that

1091
01:04:29,520 --> 01:04:34,600
Speaker 1: for home cooking, Miles, Jesus Christ, you're sick. And then

1092
01:04:34,640 --> 01:04:39,640
Speaker 1: I go to Tacose Elevanado. It's pretty good. Go there, cool, Melissa,

1093
01:04:39,680 --> 01:04:41,760
Speaker 1: it's been a pleasure of having you. Thanks for having me.

1094
01:04:42,160 --> 01:04:44,960
Speaker 1: Where can people find you? Um? You can find me

1095
01:04:45,560 --> 01:04:50,080
Speaker 1: through the algorithm and also Ello Melissa, which is like

1096
01:04:50,240 --> 01:04:59,720
Speaker 1: Hello Melissa, but without the Melissa exactly from Pirates is

1097
01:04:59,760 --> 01:05:04,760
Speaker 1: it Puppet? Hello, Hello Puppet. Um. You can also listen

1098
01:05:04,800 --> 01:05:08,840
Speaker 1: to my podcasts, Say More Podcasts with Olivia Gatwood streaming everywhere.

1099
01:05:08,920 --> 01:05:10,600
Speaker 1: What I'll Do, What I'll do on that podcast. Um,

1100
01:05:10,640 --> 01:05:13,280
Speaker 1: it's like a conversational podcast. We interview people and things

1101
01:05:13,320 --> 01:05:16,200
Speaker 1: that they're experts on. So nice. We interviewed Jamie about

1102
01:05:16,280 --> 01:05:20,360
Speaker 1: corporate feminism and like a doula, someone who worked in

1103
01:05:20,440 --> 01:05:24,760
Speaker 1: gay porn. Yeah nice? What's like all those people you

1104
01:05:24,920 --> 01:05:31,480
Speaker 1: interviewed Jamie about all those subjects? She's I know, she's

1105
01:05:31,520 --> 01:05:36,760
Speaker 1: so talented. And is there a tweet you've been enjoying? Oh? Um,

1106
01:05:36,960 --> 01:05:39,320
Speaker 1: I really like this one. Let me see this is

1107
01:05:39,720 --> 01:05:43,439
Speaker 1: Alex B. Tanner. Why is every single book title things

1108
01:05:43,520 --> 01:05:45,360
Speaker 1: we lost in the fire when we were girls and

1109
01:05:45,440 --> 01:05:47,240
Speaker 1: we didn't talk about all the things we never told

1110
01:05:47,280 --> 01:05:54,120
Speaker 1: our mothers the fire? Uh? Miles, where can people find you?

1111
01:05:54,400 --> 01:05:56,880
Speaker 1: You can find me and follow me on Twitter and

1112
01:05:57,200 --> 01:06:01,680
Speaker 1: Instagram at Miles of Gray. Two tweets I like. One

1113
01:06:01,800 --> 01:06:05,560
Speaker 1: is from Reductress and you know thematically ties into what

1114
01:06:05,600 --> 01:06:08,080
Speaker 1: we're talking about this phone from reductor says how to

1115
01:06:08,160 --> 01:06:12,480
Speaker 1: get over baby fever by remembering the earth is dying. Yeah,

1116
01:06:13,760 --> 01:06:16,800
Speaker 1: and one more from the onion because it just felt

1117
01:06:17,000 --> 01:06:20,000
Speaker 1: I've been saying it over and over. It's it's an

1118
01:06:20,080 --> 01:06:22,720
Speaker 1: image of like this dude in a hoodie like talking

1119
01:06:22,800 --> 01:06:25,400
Speaker 1: to this woman who looks so disinterested, and it says,

1120
01:06:25,880 --> 01:06:29,320
Speaker 1: man directs full force of anecdote towards single person after

1121
01:06:29,360 --> 01:06:33,800
Speaker 1: the rest of group moves on to different topic. Which

1122
01:06:33,840 --> 01:06:35,760
Speaker 1: is a thing, man, when people be hitting you with

1123
01:06:35,880 --> 01:06:40,000
Speaker 1: that fucking common deer the group talk. I do not

1124
01:06:40,200 --> 01:06:42,320
Speaker 1: like the no, no, no, when you're just like this

1125
01:06:42,520 --> 01:06:44,640
Speaker 1: is more for you than anything. You're not trying to

1126
01:06:44,680 --> 01:06:47,680
Speaker 1: convey any information, right, Like I get it. The dude

1127
01:06:47,680 --> 01:06:49,720
Speaker 1: to Chipotle loves you. Do you want me to just

1128
01:06:50,200 --> 01:06:53,440
Speaker 1: leave you in here? Sometimes though, you know, people who

1129
01:06:53,520 --> 01:06:56,640
Speaker 1: do that, they can't actually register that you are talking

1130
01:06:56,760 --> 01:06:59,480
Speaker 1: shipped back to them. I've noticed when people get on

1131
01:06:59,520 --> 01:07:01,160
Speaker 1: that ship with like yeah, I'm about they get this

1132
01:07:01,200 --> 01:07:06,360
Speaker 1: momentum going to go oh yeah, and I are like

1133
01:07:06,840 --> 01:07:09,480
Speaker 1: are you serious, and like they're like no, I am,

1134
01:07:09,600 --> 01:07:12,240
Speaker 1: and I'm like wow. I wonder if those people become

1135
01:07:12,320 --> 01:07:16,440
Speaker 1: YouTubers just talking to themselves. That's why they call me

1136
01:07:16,520 --> 01:07:18,600
Speaker 1: black mirror. They're looking to me and they see whatever

1137
01:07:18,600 --> 01:07:22,880
Speaker 1: they need see right there. Yeah. Uh Stella Donnelly stand

1138
01:07:23,040 --> 01:07:25,960
Speaker 1: tweeted can someone write an article on millennials killing the

1139
01:07:26,040 --> 01:07:33,280
Speaker 1: doorbell industry by texting here? Um and damn and Martha

1140
01:07:33,400 --> 01:07:36,720
Speaker 1: Kelly tweeted life hack for folding fitted sheets, stuff them

1141
01:07:36,720 --> 01:07:39,120
Speaker 1: into a closet and a messy ball. Honestly, who gives

1142
01:07:39,200 --> 01:07:42,200
Speaker 1: this ship? Yeah, so you put them ships out and

1143
01:07:42,320 --> 01:07:44,919
Speaker 1: it's like wrinkly. But also who can see that because

1144
01:07:44,920 --> 01:07:47,520
Speaker 1: you got the top sheet and you've got the motherfucking's link.

1145
01:07:48,000 --> 01:07:50,400
Speaker 1: Oh yeah. And then Pixelated Boat tweeted a screencap of

1146
01:07:50,720 --> 01:07:55,040
Speaker 1: an article title Leaked footage suggests a big Jeopardy shock

1147
01:07:55,200 --> 01:07:58,040
Speaker 1: is on the way, and he said answers must now

1148
01:07:58,120 --> 01:08:04,720
Speaker 1: begin with about a being about a boom. It's answer time, motherfucker. Uh.

1149
01:08:06,480 --> 01:08:09,400
Speaker 1: You can find me on Twitter at Jack on the Store, O'Brien.

1150
01:08:09,520 --> 01:08:12,960
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

1151
01:08:13,000 --> 01:08:15,840
Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook

1152
01:08:15,880 --> 01:08:18,240
Speaker 1: fan page on the Daily Zeitgeist is a production of

1153
01:08:18,280 --> 01:08:21,320
Speaker 1: My Heart Radio from More podcast from my Heart Radio,

1154
01:08:21,400 --> 01:08:24,200
Speaker 1: visit the I Heart Radio app, Apple podcast or where

1155
01:08:24,200 --> 01:08:28,040
Speaker 1: every shows. We also have a website, Dailies i guys

1156
01:08:28,080 --> 01:08:30,800
Speaker 1: dot com, where we post our episodes and our foot

1157
01:08:30,880 --> 01:08:33,360
Speaker 1: no we link off to the information that we're talking

1158
01:08:33,360 --> 01:08:37,519
Speaker 1: about in today's episode, as well as the song we write. Apple.

1159
01:08:39,240 --> 01:08:43,599
Speaker 1: This is from Shy Girls and the track is called Drain.

1160
01:08:44,000 --> 01:08:48,519
Speaker 1: I'm not feeling drained, but the z is rocking okay,

1161
01:08:49,080 --> 01:08:51,960
Speaker 1: and your boots will be knocking because it's got a

1162
01:08:52,000 --> 01:08:55,599
Speaker 1: funky to it and a hip tank, a hip tang. Yeah,

1163
01:08:56,000 --> 01:08:58,880
Speaker 1: like from that guy. There's a dude who talking about

1164
01:08:58,920 --> 01:09:00,760
Speaker 1: hot sauce and called the hip tang my boone daddy

1165
01:09:00,840 --> 01:09:04,920
Speaker 1: something anyway, so on, um, but yeah, Drained by Shy Girls.

1166
01:09:05,320 --> 01:09:07,479
Speaker 1: All right, we're gonna write out on that. We will

1167
01:09:07,520 --> 01:09:12,439
Speaker 1: be back tomorrow because it is the daily podcast by

1168
01:09:14,600 --> 01:09:26,320
Speaker 1: Change Jane Jane Jane Jane Jane. I don't make a

1169
01:09:26,400 --> 01:09:31,080
Speaker 1: house call later than the woman name seen it on

1170
01:09:31,360 --> 01:09:39,840
Speaker 1: full push. Just spit it out, not see it on

1171
01:09:40,000 --> 01:09:44,719
Speaker 1: the maightdis something's got them up in the just set

1172
01:09:44,800 --> 01:09:45,120
Speaker 1: it off.