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Speaker 1: Hello the Internet, and welcome to season sixteen, episode three

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Speaker 1: of them Dared Daily Zeitgeist for January thirty first, two

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Speaker 1: thousand eight teen. My name is Jack O'Brien, a K.

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Speaker 1: Jack in the US, Jack in the US, Jack in

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Speaker 1: the U s s R. Brian. Uh. That's courtesy the Beatles. Uh.

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Speaker 1: That is courtesy of Nile Watson at Rye red shit

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Speaker 1: Head on Twitter. And I'm joined as always by my

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Speaker 1: co host, Mr Miles. Great Miles, great out, great out.

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Speaker 1: Don't dream it hit the high note. I mean, I'm

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Speaker 1: out here. I yes, I was a former castrati, saying

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Speaker 1: in the choir. Uh. And that goes out to hose

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Speaker 1: Antonio Rays on Twitter. Again. That's back to back a

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Speaker 1: case for you, my man, if you hit me with

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Speaker 1: three in a row, that'll be good. Nice. I don't

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Speaker 1: want to lock myself in. You know. I didn't know

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Speaker 1: the castrati procedure was reversible. It was. Yeah, that's great.

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Speaker 1: My mother lied to me for many years. I turned

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Speaker 1: out I was not castrato. Okay, good, Uh. Well, we

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Speaker 1: are thrilled to be joined for the third time, I

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Speaker 1: believe on this show by the hilarious host of Yo

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Speaker 1: is this racist andrew T. What's up, man, I'll take

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Speaker 1: the whatever the award for the three the hat trick

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Speaker 1: is that there you go, Okay, hat trick, the triple crown,

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Speaker 1: the three crowns hitting for the cycle would be the

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Speaker 1: fourth one, Andrew, what is something from your search history

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Speaker 1: that is revealing bes who you are as a human?

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Speaker 1: Most recently video game playthroughs still on that tip. So

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Speaker 1: there's that if that wants to generally be revealing. But

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Speaker 1: the thing before that was the phrase hamster eating a burrito.

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Speaker 1: Oh yeah, yeah that video. Yeah, so I must have

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Speaker 1: been trying to see that. I feel like this is

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Speaker 1: where this is where I'm I'm like, this is how

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Speaker 1: the news cycle works for old andrew T. It goes like,

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Speaker 1: see a bunch of people making jokes about something on Twitter,

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Speaker 1: not getting it, trying to distill one down, one ferb

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Speaker 1: and I guess an object from time to time and

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Speaker 1: putting that into Google to just figure out what the

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Speaker 1: fund has happened. So did you end up seeing the video? Yeah?

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Speaker 1: I assume I did. It was Yeah, I think it's

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Speaker 1: like tiny Dennis and that that was a pretty big

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Speaker 1: video for a little bit. Yeah, that's how that's how

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Speaker 1: my brain works though. So that's in case I ever

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Speaker 1: sound ill informed, it's because that is my primary information.

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Speaker 1: Just Twitter, Twitter, Twitter memes. Yes, for people who are

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Speaker 1: driving and haven't already looked it up. Tiny hamster eating

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Speaker 1: the burritos are small. I was picturing giant burritos, which

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Speaker 1: makes it a lot of fun. I assume Japanese. No,

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Speaker 1: they're l A based. I think the production company that

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Speaker 1: did it, I think they're called tiny Denizens or something.

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Speaker 1: I don't know. Hello Dennis, Yes, remember Wait I have

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Speaker 1: a question. You said you were watching video game like

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Speaker 1: play through videos. Well, you know what if we want

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Speaker 1: to do this, I that actually is my underrated or

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Speaker 1: what is something that is underrated? I'm so into e

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Speaker 1: sports as like the way I watch regular sports, which

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Speaker 1: is I don't participate, like I don't play fucking football

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Speaker 1: or like whatever. But like that's my new thing. Is

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Speaker 1: like because for a long time I was like, I

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Speaker 1: don't I don't play video games. I don't get it.

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Speaker 1: And now I'm just all in. I just watch people

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Speaker 1: play video games. Games. Um, there's just games. There's a

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Speaker 1: new one. I think it's called, um the Hunt, which

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Speaker 1: is sort of like HP Lovecraft meets a first person

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Speaker 1: battle royale shooter game. So you're like in teams of

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Speaker 1: two hunting monsters, but other people are also hunting monsters

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Speaker 1: and you can all kill each other. Boom. It is

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Speaker 1: just like gripping I'll call it television. Are you watching

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Speaker 1: the ones like Beauty Pie where you have the per

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Speaker 1: some talking Yeah, yeah, yeah, yeah, so it's it's entertaining.

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Speaker 1: Most of the people I like are British or Canadian, um,

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Speaker 1: I guess famously, the most like pleasant people are probably

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Speaker 1: the like the McElroy brothers, the famous podcasting fam Those

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Speaker 1: guys play a lot of stuff and it's like, you know,

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Speaker 1: unlike Beautie Pie, so much less likely to hear the

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Speaker 1: N word, you know, So that's cool. That part is good.

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Speaker 1: A few places you can watch video games be played

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Speaker 1: and not here the N word. Yeah, it's mostly look,

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Speaker 1: yeah it's to me. I was just like I had

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Speaker 1: to cross a rubicon because I was like, now there's

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Speaker 1: a third way to be into video games. Like, I know,

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Speaker 1: I can't play video games because I have like the

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Speaker 1: type of personality that I just remember, like it being

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Speaker 1: seven in the morning on a school night and just

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Speaker 1: being like one more Zelda Dungeon, and I was like,

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Speaker 1: this is insane, Like I can't do I know, but

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Speaker 1: I got shipped to do. So you would be up

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Speaker 1: until seven, No, I'd be up early, no, seven, just

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Speaker 1: really going hard. So I'm like, I can't. I can't

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Speaker 1: have video games in my life if I want to

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Speaker 1: do anything. Although I guess if you're gonna dovetail some

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Speaker 1: kind of broadcast entertainment and video games, maybe I'm just

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Speaker 1: doing market research for the thing I wanted to write.

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Speaker 1: I said to real playing Civilization sydmyor Civilization game. I

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Speaker 1: used to stay up disgustingly late, like with my old roommate,

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Speaker 1: like I got him hooked and it looked like a

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Speaker 1: weird video game cracked in. We're four in the morning.

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Speaker 1: I'm like, how far are you? I just know I

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Speaker 1: can't do that, and I know I will do that

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Speaker 1: if I get to playing. But when I'm watching, it's

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Speaker 1: just like a sports. It's like a sport. Yeah. I

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Speaker 1: wonder if that is going to be like there's gonna

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Speaker 1: be a whole new generation people who have like never

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Speaker 1: played video games. They're just like, oh, I'm just a fan.

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Speaker 1: I just like watching that would be really sad because

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Speaker 1: that's like some little brother shit when you're playing right,

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Speaker 1: That's what I like. The other thing that I the

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Speaker 1: other walk through that I like is a Resident Evil seven?

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Speaker 1: Have you ever seen that? Is that the newest one?

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Speaker 1: I think it is two things that are very funny

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Speaker 1: about it. It's super scary and gross and disgusting, but

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Speaker 1: they made a VR version, so watching people genuinely be

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Speaker 1: freaked out by the VR version is very funny. And

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Speaker 1: then it's just like, you know, as good as any

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Speaker 1: other horror movie. Yeah, you know, I don't know wherever

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Speaker 1: you are on horror movies, it's as good as you

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Speaker 1: know the average Resident Evil too fucked me uptally. I

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Speaker 1: could not play that at night. What's something you think

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Speaker 1: is overrated? Overrated? Is uh? Listening to both sides? All that?

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Speaker 1: Specifically for a project, I probably not that I can't

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Speaker 1: talk about it, but I'm not ready to talk about

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Speaker 1: It's just a personal thing. I've been reading Atlas Shrugged

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Speaker 1: and Good Cheesy. It's been a while since I've hate

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Speaker 1: red something that's a thousand pages. That's an investment. It

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Speaker 1: really is like the most painful thing I've ever done.

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Speaker 1: It is like just hateful and the thing is that

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Speaker 1: the specific thing I'm getting towards is evidently somewhere in

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Speaker 1: the third we'll call it act, the third book of

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Speaker 1: Atlas Shrug, there is like a sixty some odd page

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Speaker 1: monologue about objectivism. I already got past like the five

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Speaker 1: or ten page monologue about the gold standard. That was incredible.

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Speaker 1: But yeah, I was like, I went into this project thinking, well,

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Speaker 1: I should do this. This is just intellectual honesty. And

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Speaker 1: let me just say right now, intellectual honesty is for

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Speaker 1: fucking suckers. Do it pro gold standards way over? Oh yeah,

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Speaker 1: of course. Now I'm not, of course on a bitcoin,

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Speaker 1: but I did actually buy like a hundred bucks worth

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Speaker 1: of bitcoin because I wanted to play poker online with it,

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Speaker 1: so I went double gambling. It was really, if you

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Speaker 1: want the poorest investment you could possibly make, that's it.

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Speaker 1: But iron Rand is pro gold standard. That was like

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Speaker 1: her philosophy, I think, so I I I'm I'm basically

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Speaker 1: reading the book cold and then going to go do

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Speaker 1: some research afterwards. The second screen experience for you as

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Speaker 1: of yet, oh my god, the second scroll experience for

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Speaker 1: I mean, just say it. Even I haven't finished um

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Speaker 1: Atlas Shrugged, but and Rand iron rand. I'm not gonna

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Speaker 1: learn how to pronounce it. Um. She lived through World

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Speaker 1: War two and multiple times in Atlas Shrugged, she refers

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Speaker 1: to um not taking enough profit when you could as

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Speaker 1: quote unquote the most evil thing that could be. So

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Speaker 1: even like that's an ignorant thing to write in two

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Speaker 1: thousand eight, right, a woman that straight up saw Hitler

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Speaker 1: come and go right be like, well, you know the

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Speaker 1: worst thing is profit motive. Um. All right, We're trying

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Speaker 1: to take a sample of what people are thinking and

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Speaker 1: talking about right now today, at this moment. Uh. And

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Speaker 1: we like to start out by asking our guest, what

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Speaker 1: does a myth? What's something people believe to be true

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Speaker 1: that isn't true? Andrew, Um, let me see, here's a

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Speaker 1: myth that some people believe, although it is being cracked, uh,

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Speaker 1: is that um, kung fu is not real at all.

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Speaker 1: People believe kung fu is like a legitimate thing. I

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Speaker 1: can't step into this. I had. I had a really

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Speaker 1: sad conversation with my friends five year old kid who

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Speaker 1: is really into Ninjago and Bruce Lee, and I was, um,

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Speaker 1: he just shoot on his dreams. Well, I think I

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Speaker 1: diverted it. I think I might have talked him into

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Speaker 1: a child jitsu class, like A right, yes, I saw

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Speaker 1: about the jets mob Homie. I mean, so you're saying

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Speaker 1: that kung fu like as we see it in movies

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Speaker 1: is just bullshit. It's just something that was made up.

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Speaker 1: Beyond that, it is like a thing where it's like

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Speaker 1: it is as it is sort of taught in two

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Speaker 1: thousand eighteen. It is by far the least effective way

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Speaker 1: to learn how to punch and kick someone. Really, Yeah,

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Speaker 1: like just go box, you know or you don't know

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Speaker 1: Andrew is boxes. I I'm okay, okay, Look, I've heard

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Speaker 1: about you. I heard you got hands out here. I've

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Speaker 1: heard from other people who said you go hard, sometimes

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Speaker 1: harder than they expect. I used to be really good

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Speaker 1: or like not really good, but I used to be

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Speaker 1: able to Like I've only one time in my life

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Speaker 1: experienced this, like the actual getting in the flow matrix

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Speaker 1: style thing when I was boxing, where I was like, oh,

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Speaker 1: I am literally two steps ahead of this person at

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Speaker 1: every and it felt like being neo for like thirty seconds.

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Speaker 1: This is a person who's very new and I'm not bragging.

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Speaker 1: I'm not ever never when you went to that child's

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Speaker 1: box right, yea, yeah, bet this was that this kid,

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Speaker 1: you know, this kid when ready for that hook no moves. Yeah,

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Speaker 1: I've heard that that. Like a lot of the stuff

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Speaker 1: that Bruce Lee made cool in movies is just like

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Speaker 1: the jump kick is one of the most ineffective things

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Speaker 1: that you can possibly do in a fight, like jumping

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Speaker 1: straight at someone and trying to kick them, because you're

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Speaker 1: just like taking your like all leverage out of the

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Speaker 1: equation to be on the ground and you're committing all

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Speaker 1: of your weight in one direction. By definition, it's not

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Speaker 1: none of those things are necessarily wrong, but learning them

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Speaker 1: in a kung fu karate school context is like just

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Speaker 1: the least efficient way to learn that stuff. And the

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Speaker 1: whole like belt color thing is not the most official thing.

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Speaker 1: That's also like that's the true American snowflakes. Like that

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Speaker 1: that's like a thing that is essentially marketing that American

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Speaker 1: schools do to kind of keep you going. Yeah, and

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Speaker 1: you gamify it and you like keep adding little things

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Speaker 1: and they're essentially Look, I don't want to like there's

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Speaker 1: all kinds of ways, but it is like I just

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Speaker 1: really had to like talk this kid down from his

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Speaker 1: dream of yeah, and it's all that stuff is fine

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Speaker 1: and it's good for your health and blah blah blah.

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Speaker 1: And it was also true like it's five like And

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Speaker 1: the other thing that I did that was very I

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Speaker 1: turned into like the worst Uncle Andrew type person because

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Speaker 1: I actually he was like, show me wrestling, show me wrestling,

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Speaker 1: So I actually show well, I showed him. I showed

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Speaker 1: him a move called an Americana from side control. You

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Speaker 1: can And I don't know why I taught a five

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Speaker 1: year old how to do this. I'm mostly assumed he

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Speaker 1: would not remember how to do it until his sister,

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Speaker 1: who I think is three, wandered into the room and

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Speaker 1: he showed her how to do it. And I was like, oh,

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Speaker 1: not only does he remember, he processed it enough to

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Speaker 1: do And I was like, okay, this is exactly what

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Speaker 1: like a crappy like adult with no kids rolling. Yeah,

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Speaker 1: it was really like I was like, just please, please,

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Speaker 1: please please move more practical stuff like a standing triangle,

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Speaker 1: you know, I mean stuff he can do on his

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Speaker 1: friends at school. I mean, you know, this kid is

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Speaker 1: like five year olds are for their size and weight,

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Speaker 1: crazy ethletic. Yeah, so I'm pretty studies about how like

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Speaker 1: if you could be have a baby's fitness unattainable. Baby

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Speaker 1: strength is the strongest, like per pound, Yeah, like yeah,

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Speaker 1: based on the size that we ever are basically yeah,

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Speaker 1: because the baby needs to you know where babies are

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Speaker 1: evolved to like hang onto a tree until someone gets them.

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Speaker 1: All right, stay here, baby, just scratchers in the bodega.

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Speaker 1: You stay hang on to this parking meter. Alright, let's

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Speaker 1: get into it, miles. Puerto Rico has been fixed. Yeah,

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Speaker 1: it has because apparently, I guess FEMA they're like yo

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Speaker 1: flowers Victory were the funk out of here. But that

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Speaker 1: was what we heard yesterday that female was pulling out

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Speaker 1: of Puerto Rico despite many people not having potable water

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Speaker 1: or electricity, or the fact that many students have left

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Speaker 1: because you know, you need computers to learn and you

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Speaker 1: can't be learning in burger king all the time, like

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Speaker 1: the few places that have WiFi or electricity anyway, So

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Speaker 1: that came out yesterday. Apparently today FEMA was saying like, no,

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Speaker 1: we're not leaving, because the the original rumor was that

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Speaker 1: there were FEMA officials were saying like, oh, well, a

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Speaker 1: good amount of supermarkets have opened back up, and you know,

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Speaker 1: if we keep giving the food in the in the

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Speaker 1: water away, then no one will buy the food in

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Speaker 1: the water in the supermarket and that'll and that will

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Speaker 1: affect the economy. And then today they were they walked

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Speaker 1: it back and they said, well, no, we're not pulling out.

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Speaker 1: That was a decision that was being weighed or whether

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Speaker 1: or not to, like, you know, take a look at

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Speaker 1: what stores were open and figure out if they were

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Speaker 1: going to leave. But they are saying that they are

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Speaker 1: winding down food and water distribution, which even if they're

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Speaker 1: not leaving, to wind down the assistance I think is

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Speaker 1: a fucking awful decision. And also when you couple that

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Speaker 1: with the fact that the largest like the National Power Company,

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Speaker 1: is being privatized to save some money, disaster capitalism at work.

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Speaker 1: We talked about this when it happened, but this is

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Speaker 1: kind of the neo com playbook. Is you let a

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Speaker 1: huge disaster happen and then you go in and privatize everything.

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Speaker 1: They did it after Katrina, and yeah, I mean, really,

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Speaker 1: the cruelest thing that they could do to these people is,

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Speaker 1: you know, continue to give them assistance, because then they

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Speaker 1: won't learn to fight for themselves, right, isn't that what?

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Speaker 1: Because they're not the Randy and philosophy because they're not Americans,

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Speaker 1: you know what I mean, they're American passports, but we

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Speaker 1: don't listen, not act like they're America. It's just it's

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Speaker 1: it's a disgrace. I mean, this is like it is

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Speaker 1: a little troubling that they feel so confident to trot

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Speaker 1: out an argument like grocery store, because it's like that

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Speaker 1: means they're so confident in their like lase fair capitalist

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Speaker 1: like worldview that they're like, well, people will get on board,

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Speaker 1: like it's like weird, like you can both even this

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Speaker 1: sort of thing or that can be a consideration. It

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Speaker 1: is bizarre that that makes it to the top of

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Speaker 1: the pr pile for like why you're why you would

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Speaker 1: do this? Well, I think is these soundbites are probably

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Speaker 1: just strictly for American people who might be like, well,

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Speaker 1: I guess if the stores are open, grocery stores evoke

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Speaker 1: like abundance, you know, especially when you're an American and

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Speaker 1: you're thinking of American grocery stores, you're like, oh, so

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Speaker 1: they have like a safe way open that's just like

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Speaker 1: full of all the brands and stuff. Um. Meanwhile, but

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Speaker 1: not to even mention like the dire straits that people

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Speaker 1: are in financially. So I don't know, you know, that's

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Speaker 1: really the sexiest argument as to why you can leave.

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Speaker 1: It's like, well the stores open, It's like you have

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Speaker 1: a lot of people are still struggling financially, like dealing

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Speaker 1: with the lack of work in the aftermath, just draining

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Speaker 1: your savings and things like that. Yeah, so it's a

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Speaker 1: very well, their belongings were destroyed, all their yea, you know,

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Speaker 1: and people were dying of you know, not because of

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Speaker 1: the lack of electricity or potable water. You know, let's

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Speaker 1: limit that body count because that's also like the other

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Speaker 1: part of the neo conplaybook is like you know, Disaster

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Speaker 1: Drive GDP, you have to spend money to fix stuff,

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Speaker 1: and so it is really like you know, what are

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Speaker 1: you gonna do? Like is this good or bad? Like

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Speaker 1: more money is flowing because people are have to like

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Speaker 1: repair stuff like ah ye, and we're not even really

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Speaker 1: sending money there yet, so you know, gonna so they're

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Speaker 1: gonna do everybody a favorite and hang out there for

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Speaker 1: a little bit longer, a little bit like the pr

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Speaker 1: wave that got made. That's really nice. Yeah, that that

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Speaker 1: is cool. FEMA almost always gets it, right. I think

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Speaker 1: it's what we can say. Uh. And then there's also

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Speaker 1: this article that came out in the Atlanta that we

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Speaker 1: all read, and it's dark man it is. It's about

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Speaker 1: Paul Manafort and it's called American Hustler, which is definitely

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Speaker 1: a complimentary like a way of making his struggle sound cool.

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Speaker 1: But it opens with him like crying and threatening to

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Speaker 1: kill himself to his daughters, and his daughter's being like,

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Speaker 1: oh brother, this ship again. He's being a real tight

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Speaker 1: wad with the cash. Like he's like, he's gonna make

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Speaker 1: me serve hot dogs at my wedding kickoff party. Right.

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Speaker 1: It does feel like when the inevitable biopick comes out

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Speaker 1: of this, that the role of the daughters is going

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Speaker 1: to be a plumb one. That's gonna be the one

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Speaker 1: like Oscar bait. Yeah. Um, but yeah, he's if he

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Speaker 1: was a torture dude. I mean, like this article is

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Speaker 1: wild because it shows you it's like Wolf of Wall

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Speaker 1: Street almost for lobbying. Yeah. Yeah, and my created lobbying

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Speaker 1: as we know, as we know the super corrupt. Yeah,

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Speaker 1: he brought everything like under the same roof, right, that

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Speaker 1: was his innovation. And like, how did that change? It

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Speaker 1: used to be sort of just lame people offering to, like,

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Speaker 1: you know, help a politician get a job, but they

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Speaker 1: were saying that, you know, the lobbying industry just in

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Speaker 1: general was struggling to squeak by before Manafort, and then

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Speaker 1: he came in and in the late seventies and early

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Speaker 1: eighties and just now it's like they're the hot shit. Yeah. Yeah,

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Speaker 1: with Roger Stone of course at his side, which is

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Speaker 1: the other crazy thing too, is as much as Tad himself. Yeah,

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Speaker 1: it was. As much as you read this article and

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Speaker 1: you hear Manafort, you also see Roger Stone come up

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Speaker 1: once you're like, god, damn, this is just the same. Dudes,

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Speaker 1: Just stay in the picture. I mean, but I guess

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Speaker 1: the one thing is, like it's a long read The Atlantic. However,

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Speaker 1: did convert it into like an audio book so you

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Speaker 1: can listen to it. We'll put that in the footnotes,

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Speaker 1: because honestly, when you listen to this, it's very hard

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Speaker 1: to think that anything that happened with Paul Manafort and

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Speaker 1: the Russians and the Trump campaign was anything but egregious

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Speaker 1: faccory on this part, like he can't feign ignorance here.

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Speaker 1: So when he starts getting involved in the Trump campaign,

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Speaker 1: his uh friends and advisors are like, dude, you cannot

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Speaker 1: do this because he's in a lot of financial trouble, right,

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Speaker 1: he owes dictators tons of money. He is just you know,

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Speaker 1: he stole money from a fucking oligarch. Likes he's like

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Speaker 1: the Friend and Rounders or like some other action movie

359
00:20:30,160 --> 00:20:32,159
Speaker 1: where they're like, oh man, I'm good for it and

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Speaker 1: like the guys to come in and save their ass,

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Speaker 1: like that's Paul Manaford at the beginning of this. And

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Speaker 1: then Trump's like, yeah, you can run my campaign because

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Speaker 1: the whole thing he was so broke. He knew the

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Speaker 1: only way he was going to kind of start getting

365
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Speaker 1: his money back is if he could work with Trump,

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Speaker 1: and best case scenario, Trump becomes president and that helps

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Speaker 1: elevate his star because everything went wrong once Yanukovich was

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Speaker 1: outside in Ukraine or even like placing like I just

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Speaker 1: feel like the profile, you just go all in on

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Speaker 1: the right wing machine, right, and you just assume like

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Speaker 1: being next to Trump is good enough to like at

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Speaker 1: least get me out of this. Well, he's like, but

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Speaker 1: he was the kind of dude who would just be

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Speaker 1: like who was Marcos in the Philippines, Like gave him

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Speaker 1: a briefcase like a hundred million or ten million dollars

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Speaker 1: and he's like, hey, can you give this to Reagan?

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Speaker 1: And he's like, yeah, I'll give it to Reagan and

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Speaker 1: just straight up walked off with the cash and didn't

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Speaker 1: give So like his whole thing was just being like, yeah,

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Speaker 1: I can get you here. And that was like his

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Speaker 1: money making scheme. And so now that was his whole

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Speaker 1: idea with Trump was like Okay, I owe this Russian

383
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Speaker 1: olgarch like twenty million dollars that I stole from him,

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Speaker 1: And that was his whole thing. Was like he didn't

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Speaker 1: tell Trump that, no, no, no, this is his internal

386
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Speaker 1: monologue as he's like, yeah, you know, I'm I'm doing

387
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Speaker 1: great and I can like get you in the right doors.

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Speaker 1: And you know he's a wheeler dealer. He had a

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Speaker 1: big name. Um. We talked before about how when they

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Speaker 1: were talking about his money wandering, they said that he'd

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Speaker 1: like wandered money through I think it was like three

392
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Speaker 1: hundred thousand dollars worth of suits something. Uh, And that's

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Speaker 1: like not that far fetched because that's like that was

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Speaker 1: his thing. Was like getting fancy suit. Yeah, I'm just wondering.

395
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Speaker 1: It really is an art like it really I do

396
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Speaker 1: not have the creativity to come up with enough ways

397
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Speaker 1: to move although my bitcoin poker scheme is right. I mean,

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Speaker 1: I think it's a long article. It has everything from

399
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Speaker 1: like crazy arms deals that go south, to him trying

400
00:22:24,920 --> 00:22:29,959
Speaker 1: to like launder reputations for dictators and murderous fucking it's wild.

401
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Speaker 1: Just look at the whole thing. And when you get

402
00:22:32,520 --> 00:22:34,800
Speaker 1: to the point of when he meets Trump, he's like, look,

403
00:22:35,160 --> 00:22:37,760
Speaker 1: he's broke as funk, but he realizes Trump is also cheap.

404
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Speaker 1: So if he goes like, hey, I'll work free with

405
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Speaker 1: for free, Trump is gonna be like, oh, this dude

406
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Speaker 1: is rich, he doesn't need money. IM gonna bring him

407
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Speaker 1: one team Trump. And that's how he gets in. And

408
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Speaker 1: the way he even gets it, he calls Tom Barrick

409
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Speaker 1: and he's like, I need to get to Donald Trump,

410
00:22:50,880 --> 00:22:53,040
Speaker 1: and that's how I got there. So it gives you

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Speaker 1: another dimension where you thought Paul Manafar was just like

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Speaker 1: some doofy dude and you're like, oh, home, he was

413
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Speaker 1: straight evil. Well, it's also just like double grifters or

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Speaker 1: triple grifters, like grifters grift ing other grifters camp It's like,

415
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Speaker 1: are you on, are there on a pyramid scheme of

416
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Speaker 1: who is? Like they're just passing around the same briefcase

417
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Speaker 1: full of money at this point, right they have to

418
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Speaker 1: be Yeah, yeah, it's a It was a dream team

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Speaker 1: of sort of incompetent crookedness. I mean they all had

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Speaker 1: to go in. Every single person in the Trump administration

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Speaker 1: went in with the plan of let's shoot the moon,

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Speaker 1: let's do everything. Everyone is going to fail so hard

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Speaker 1: that we're gonna win. And they did it, which is

424
00:23:38,840 --> 00:23:42,919
Speaker 1: again as a as a gambler, admirable as hell. I

425
00:23:43,119 --> 00:23:46,560
Speaker 1: love it. Yeah, alright, we're gonna take a quick break.

426
00:23:46,600 --> 00:23:58,280
Speaker 1: We'll be right back, and we're back. And super producer

427
00:23:58,400 --> 00:24:00,720
Speaker 1: Nick Stuff was just saying, it's funny to think about

428
00:24:00,840 --> 00:24:03,959
Speaker 1: the campaign from the Russian perspective because like they already

429
00:24:03,960 --> 00:24:07,000
Speaker 1: have carter page and like all these you know people

430
00:24:07,080 --> 00:24:10,639
Speaker 1: that they have influence with Mike Flynn, uh, you know,

431
00:24:11,160 --> 00:24:15,040
Speaker 1: real in deep with the Trump campaign and then Trump's

432
00:24:15,080 --> 00:24:21,439
Speaker 1: like and guess who our campaign manager is? Do you

433
00:24:21,440 --> 00:24:23,959
Speaker 1: think they are like two different teams at the FSB

434
00:24:24,200 --> 00:24:27,720
Speaker 1: just playing like Fantasy Chaos League against each other, and

435
00:24:27,760 --> 00:24:29,960
Speaker 1: they're just like, I don't know all my chips that

436
00:24:30,080 --> 00:24:31,960
Speaker 1: because it's got to be fun for them. Must have

437
00:24:31,960 --> 00:24:34,600
Speaker 1: blew up that grid though, and like and enter new

438
00:24:34,640 --> 00:24:38,200
Speaker 1: player man off. They're like, oh ship, Yeah that means yeah,

439
00:24:38,320 --> 00:24:40,199
Speaker 1: someone had a thousand and one bet on that that

440
00:24:40,320 --> 00:24:43,159
Speaker 1: came in with men right, So dope, all right, So

441
00:24:43,160 --> 00:24:46,240
Speaker 1: we don't want to we do want to talk about

442
00:24:47,119 --> 00:24:50,920
Speaker 1: the stated Union was last night. Um, did you guys

443
00:24:50,920 --> 00:24:54,359
Speaker 1: watch it? Oh? Yeah, I watched it on the equivalent

444
00:24:54,359 --> 00:24:59,760
Speaker 1: of Vine, right whatever, whatever, long clip like yeah, or

445
00:25:01,520 --> 00:25:07,320
Speaker 1: stills some stills some people you know some now this montages.

446
00:25:08,920 --> 00:25:12,480
Speaker 1: The closest we got to getting a consequential policy statement

447
00:25:12,520 --> 00:25:16,080
Speaker 1: was actually after the speech when Trump was walking out.

448
00:25:16,160 --> 00:25:20,439
Speaker 1: So Sarah Sanders had said yesterday that Trump wasn't planning

449
00:25:20,480 --> 00:25:23,840
Speaker 1: on releasing the memo, but then a Republican politician was like, Hey,

450
00:25:23,880 --> 00:25:27,959
Speaker 1: you're gonna release that memo, And he was like, So

451
00:25:28,000 --> 00:25:30,959
Speaker 1: that was only because I think they specifically said like

452
00:25:31,000 --> 00:25:34,280
Speaker 1: they were not going to be introducing any new policy

453
00:25:34,440 --> 00:25:36,359
Speaker 1: in this state of the Union. It was all about

454
00:25:36,800 --> 00:25:42,280
Speaker 1: just sort of stiffing on the existing stuff. Yeah. Otherwise, uh,

455
00:25:42,520 --> 00:25:44,800
Speaker 1: I don't know, I personally find and this isn't just

456
00:25:44,880 --> 00:25:48,240
Speaker 1: a Trump thing. State of the Union time like watching

457
00:25:48,320 --> 00:25:51,560
Speaker 1: while watching the State of the Union passes slower than

458
00:25:52,240 --> 00:25:56,080
Speaker 1: like any time I've experienced since I was like in

459
00:25:56,240 --> 00:26:00,119
Speaker 1: church hungover as a kid, like um, damn I as

460
00:26:00,119 --> 00:26:05,159
Speaker 1: a kid, or well, you know the answer to that

461
00:26:05,240 --> 00:26:11,760
Speaker 1: question is a hard yes, hung ation. Uh So it

462
00:26:12,040 --> 00:26:16,080
Speaker 1: was the third longest State of the Union ever, Dani

463
00:26:16,080 --> 00:26:20,880
Speaker 1: of van Kirk. Yesterday we were talking about the over under.

464
00:26:20,960 --> 00:26:23,000
Speaker 1: He thought it was gonna be the under an hour,

465
00:26:23,520 --> 00:26:25,920
Speaker 1: which is where the Vegas Line put it. I gave

466
00:26:25,960 --> 00:26:29,040
Speaker 1: a hard over and it ended up being the third

467
00:26:29,080 --> 00:26:33,480
Speaker 1: longest ever an hour and a half, which is I mean,

468
00:26:33,720 --> 00:26:36,600
Speaker 1: I have the advantage of having talked about this before

469
00:26:36,840 --> 00:26:39,800
Speaker 1: on the dailies, like I used to knowing that dictators

470
00:26:39,880 --> 00:26:45,439
Speaker 1: give long speeches. Stalin and Castro were like notorious for

471
00:26:45,520 --> 00:26:48,760
Speaker 1: giving like three to four hour State of the Union

472
00:26:48,960 --> 00:26:51,440
Speaker 1: or the equivalent of State of the Union speeches, And

473
00:26:51,680 --> 00:26:53,439
Speaker 1: those are the people Trump wants to be, so of

474
00:26:53,480 --> 00:26:57,159
Speaker 1: course he's going to go long. Um he also like

475
00:26:57,920 --> 00:27:03,719
Speaker 1: his teleprompter voices so slow. Yeah. Well there's two versions, right,

476
00:27:03,760 --> 00:27:07,480
Speaker 1: There's Trump, who's who's putting an effort to read. It

477
00:27:07,640 --> 00:27:10,640
Speaker 1: sounds like he's a good reader in class, Like he's

478
00:27:10,680 --> 00:27:12,879
Speaker 1: good at pretending like those are him. That's just him talking.

479
00:27:13,359 --> 00:27:15,600
Speaker 1: And then what I like to call it Trump jazz

480
00:27:15,960 --> 00:27:18,640
Speaker 1: is when he goes off the sheet music, it starts improvising,

481
00:27:18,840 --> 00:27:20,960
Speaker 1: and that's when the ship gets good. That's when the

482
00:27:21,000 --> 00:27:24,280
Speaker 1: most wild ship comes out. And that's what you know

483
00:27:24,320 --> 00:27:27,080
Speaker 1: because you'll see him even like at rallies, he'll transition,

484
00:27:27,119 --> 00:27:29,040
Speaker 1: you know, when he's doing jazz because he's looking around,

485
00:27:29,280 --> 00:27:31,800
Speaker 1: he's saying real controversial ship, and then you can tell

486
00:27:31,840 --> 00:27:33,879
Speaker 1: they're probably even like to go back to the fucking

487
00:27:33,880 --> 00:27:37,640
Speaker 1: prompter and then he'll like start talking again and just

488
00:27:38,000 --> 00:27:41,760
Speaker 1: being very you know, presidential quote unquote. But it was,

489
00:27:42,040 --> 00:27:44,880
Speaker 1: I mean, the whole thing was fucking weird to me,

490
00:27:45,080 --> 00:27:48,320
Speaker 1: just because he was taking shots at many people. Uh.

491
00:27:48,359 --> 00:27:50,400
Speaker 1: And then it started off with like, look at all

492
00:27:50,440 --> 00:27:53,040
Speaker 1: the things that like the last president did to put

493
00:27:53,080 --> 00:27:55,879
Speaker 1: the economy where it is now that I inherited. And

494
00:27:55,920 --> 00:27:59,240
Speaker 1: then that was not literally what he said, but essentially

495
00:27:59,280 --> 00:28:01,320
Speaker 1: that's guy. It was like, oh I did this and

496
00:28:01,400 --> 00:28:03,880
Speaker 1: this and this, and like yeah, you this inherit your

497
00:28:03,920 --> 00:28:06,560
Speaker 1: benefiting from a pattern that begin years ago. Then we

498
00:28:06,600 --> 00:28:08,359
Speaker 1: got into like I was like, when is it gonna

499
00:28:08,359 --> 00:28:10,800
Speaker 1: get dark? And then it did when he started talking

500
00:28:10,800 --> 00:28:15,480
Speaker 1: about immigration and brought out his fucking like freak show

501
00:28:15,720 --> 00:28:19,639
Speaker 1: of exploiting victims of violence or whatever, like whether it

502
00:28:19,760 --> 00:28:22,879
Speaker 1: was using the grieving families of those two women that

503
00:28:22,920 --> 00:28:25,360
Speaker 1: were killed by MS thirteen gang members and using them

504
00:28:25,359 --> 00:28:28,200
Speaker 1: and to be like, it was so disgusting to watch

505
00:28:28,240 --> 00:28:30,919
Speaker 1: these families clearly just in so much pain because their

506
00:28:31,000 --> 00:28:33,399
Speaker 1: children had been killed, for him to just be like,

507
00:28:33,440 --> 00:28:35,840
Speaker 1: and that's what MS thirteen does, and that's why we

508
00:28:35,880 --> 00:28:38,640
Speaker 1: got to stop all this illegal immigration. Like it was

509
00:28:38,680 --> 00:28:40,480
Speaker 1: like a Dare class and that you point to the

510
00:28:40,480 --> 00:28:43,880
Speaker 1: most extreme examples to try and scare kids. We do.

511
00:28:43,960 --> 00:28:49,320
Speaker 1: You smell this stuff? You'll ever smell a guy I

512
00:28:49,360 --> 00:28:52,280
Speaker 1: saw who jumped off his school building because he was

513
00:28:52,360 --> 00:28:54,840
Speaker 1: high on this grass that it ends in like a

514
00:28:54,920 --> 00:28:57,560
Speaker 1: heroin alley right right exactly. And that was like the

515
00:28:57,600 --> 00:29:00,840
Speaker 1: equivalent of all these fearmongering like tacked. It was wild.

516
00:29:01,240 --> 00:29:04,080
Speaker 1: The other thing too, even with the one interesting thing

517
00:29:04,120 --> 00:29:06,160
Speaker 1: was sort of like that he was starting to pivot

518
00:29:06,200 --> 00:29:08,800
Speaker 1: with North Korea, talking about like, oh, like you know

519
00:29:08,840 --> 00:29:11,200
Speaker 1: they have nuclear weapons that we have to stop them,

520
00:29:11,200 --> 00:29:13,280
Speaker 1: like they're an aggressor nation that has to be in it.

521
00:29:13,520 --> 00:29:16,440
Speaker 1: And now like using the like human rights context of

522
00:29:16,480 --> 00:29:19,920
Speaker 1: being like you know, having that amputee, having him there

523
00:29:19,920 --> 00:29:22,720
Speaker 1: to sort of paint like how like this regime and

524
00:29:22,760 --> 00:29:24,880
Speaker 1: like the human rights atrocities that are happening there, and

525
00:29:24,920 --> 00:29:26,960
Speaker 1: even with like Iran trying to like sort of frame

526
00:29:27,040 --> 00:29:28,480
Speaker 1: that as like look at the people standing up, we

527
00:29:28,520 --> 00:29:31,080
Speaker 1: stand with you was kind of eerie because I'm like,

528
00:29:31,120 --> 00:29:33,120
Speaker 1: what are you trying to set up right now like

529
00:29:33,160 --> 00:29:35,400
Speaker 1: that that we have like the moral authority now to

530
00:29:35,480 --> 00:29:37,920
Speaker 1: go like enter some kind of armed conflict with these

531
00:29:37,960 --> 00:29:41,600
Speaker 1: gus well, and the pitch ultimately is like, you know,

532
00:29:42,120 --> 00:29:45,600
Speaker 1: these people suffer so much and there's nothing that dropping

533
00:29:45,600 --> 00:29:48,840
Speaker 1: a nuclear bomb on them wouldn't help. But I'm just like,

534
00:29:48,880 --> 00:29:50,280
Speaker 1: what are you what are you pitching? What are can

535
00:29:50,320 --> 00:29:52,760
Speaker 1: you do these people? That's the other That's why it

536
00:29:52,840 --> 00:29:55,320
Speaker 1: was so it's only just thought to that first moment.

537
00:29:55,680 --> 00:29:58,680
Speaker 1: There's no there's not much thought past that. Yeah, And

538
00:29:58,680 --> 00:30:02,920
Speaker 1: I guess the idea is that because the human rights

539
00:30:03,120 --> 00:30:07,840
Speaker 1: abuses are ongoing things, then it justifies sort of intervention

540
00:30:08,000 --> 00:30:11,160
Speaker 1: rather than just you know responding we will be greeted

541
00:30:11,360 --> 00:30:17,000
Speaker 1: as liberator. That always works, right. Uh So, I feel

542
00:30:17,040 --> 00:30:19,720
Speaker 1: like the thing that kept popping up in my mind

543
00:30:19,800 --> 00:30:23,200
Speaker 1: yesterday was sampling errors, which is, you know, where you

544
00:30:23,240 --> 00:30:26,160
Speaker 1: look at one small sample and assume it's true of

545
00:30:26,320 --> 00:30:30,600
Speaker 1: everything and everyone, because that's you know, that's basically how

546
00:30:30,680 --> 00:30:35,000
Speaker 1: advertising works, that's how are like entire culture works. But uh,

547
00:30:35,040 --> 00:30:38,520
Speaker 1: they've really leaned heavy on that. I think it's a

548
00:30:38,560 --> 00:30:41,080
Speaker 1: state of the Union thing to like have maybe a

549
00:30:41,200 --> 00:30:44,200
Speaker 1: hero or two in the audience. But his was like

550
00:30:44,240 --> 00:30:47,680
Speaker 1: a show and tell of like suffering and heroics, and

551
00:30:48,280 --> 00:30:52,120
Speaker 1: um it was it was like a menagerie of exploitable oddities. Right,

552
00:30:52,880 --> 00:30:57,080
Speaker 1: And you know the MS thirteen thing like big cities

553
00:30:57,120 --> 00:31:00,239
Speaker 1: have seen a surge in This is from a New

554
00:31:00,280 --> 00:31:03,120
Speaker 1: York Times op ed where they were like pointing out

555
00:31:03,160 --> 00:31:08,560
Speaker 1: how wrong that specific sort of illustration was. Uh. They said,

556
00:31:08,600 --> 00:31:11,360
Speaker 1: big cities have seen both a surgeon the foreign born

557
00:31:11,400 --> 00:31:16,120
Speaker 1: population and a dramatic, indeed almost unbelievable decline and violent crime.

558
00:31:16,640 --> 00:31:20,280
Speaker 1: Like no, no, no, no, So they're seeing a surge

559
00:31:20,520 --> 00:31:25,680
Speaker 1: in immigration and a decline in violent crime, which doesn't

560
00:31:26,200 --> 00:31:30,560
Speaker 1: like numbers don't fit within this narrative, but it's you know,

561
00:31:30,840 --> 00:31:33,360
Speaker 1: but you need that immigrants are people who because you

562
00:31:33,360 --> 00:31:35,360
Speaker 1: also said they take your jobs was all the other thing.

563
00:31:35,440 --> 00:31:37,920
Speaker 1: He's like, well these low wage workers then brought in

564
00:31:37,960 --> 00:31:41,080
Speaker 1: the killer immigrant argument is just what's also like going

565
00:31:41,120 --> 00:31:44,240
Speaker 1: back to the sampling size thing. I think the other

566
00:31:44,280 --> 00:31:46,800
Speaker 1: way I think you guys have talked about this is

567
00:31:46,840 --> 00:31:51,000
Speaker 1: like the the idea that people respond to anecdotes more

568
00:31:51,040 --> 00:31:54,760
Speaker 1: than data exactly by so much. So it's like and

569
00:31:54,760 --> 00:31:59,080
Speaker 1: and you can't fight anecdotes with data, and in this case,

570
00:31:59,120 --> 00:32:02,640
Speaker 1: you can't really fight anecdotes with other anecdotes. Like it's

571
00:32:02,680 --> 00:32:04,960
Speaker 1: a pretty effective I mean, unless you're like, well, look

572
00:32:05,000 --> 00:32:07,600
Speaker 1: at this like dreamer, you know, if it's this immigrant

573
00:32:07,600 --> 00:32:10,280
Speaker 1: came and killed these people, then I guess the counterpoint

574
00:32:10,360 --> 00:32:12,640
Speaker 1: is like some of the Dreamers that were in Houston

575
00:32:12,680 --> 00:32:16,080
Speaker 1: who like selflessly went and rescued people and putting themselves

576
00:32:16,080 --> 00:32:18,360
Speaker 1: in harm way to help other Americans, Like that's a

577
00:32:18,400 --> 00:32:21,000
Speaker 1: great example of him, you know, but I guess it

578
00:32:21,080 --> 00:32:23,160
Speaker 1: doesn't hold up if you're just trying to Yeah, I

579
00:32:24,440 --> 00:32:26,880
Speaker 1: like it. We like it almost feels like the kind

580
00:32:26,880 --> 00:32:29,959
Speaker 1: of thing that would resonate with Trump voters would be

581
00:32:30,000 --> 00:32:33,640
Speaker 1: like dreamers who vote Republican and murder MS thirteen members

582
00:32:34,200 --> 00:32:36,760
Speaker 1: like that that's the only thing that will work. Right.

583
00:32:37,280 --> 00:32:39,080
Speaker 1: But it was weird, like every time, like even when

584
00:32:39,120 --> 00:32:41,200
Speaker 1: he was like and look at this black man who

585
00:32:41,320 --> 00:32:43,600
Speaker 1: has a job, like there was like a dude from

586
00:32:43,640 --> 00:32:46,600
Speaker 1: Ohio like work for the other guys company, and Trump

587
00:32:46,640 --> 00:32:49,040
Speaker 1: was just like using It felt weird. And I felt

588
00:32:49,080 --> 00:32:51,280
Speaker 1: like a lot of those people who were using like

589
00:32:51,400 --> 00:32:54,800
Speaker 1: as his examples of the good or the bad or whatever,

590
00:32:55,000 --> 00:32:57,600
Speaker 1: they looked really conflicted when they had to stand, almost

591
00:32:57,760 --> 00:32:59,560
Speaker 1: like that they kind of knew that they were being

592
00:32:59,640 --> 00:33:01,680
Speaker 1: like bloy did yeah, do you think they got told

593
00:33:01,800 --> 00:33:05,280
Speaker 1: that they were gonna have to stand? I don't know.

594
00:33:06,080 --> 00:33:07,959
Speaker 1: There were some people who just looked I mean, I'm

595
00:33:08,000 --> 00:33:10,520
Speaker 1: sure they knew, but like, yeah, I'm sure they didn't

596
00:33:10,560 --> 00:33:12,440
Speaker 1: know that like I'm going to use you as an

597
00:33:12,520 --> 00:33:16,240
Speaker 1: example to paint all immigrants as murderers, Like I don't

598
00:33:16,240 --> 00:33:17,840
Speaker 1: know if it went that far versus like, you know,

599
00:33:17,880 --> 00:33:20,160
Speaker 1: the president would really love to acknowledge your your pain

600
00:33:20,840 --> 00:33:24,040
Speaker 1: and then then cut to him telling all this ms

601
00:33:24,160 --> 00:33:26,120
Speaker 1: R teen ship and then being like all right, now

602
00:33:26,160 --> 00:33:28,960
Speaker 1: stand up, you know, and it's just yeah, it felt

603
00:33:28,960 --> 00:33:30,560
Speaker 1: odd at times. The other funny thing is like with

604
00:33:30,600 --> 00:33:33,400
Speaker 1: all the human rights talk, the way they cheered for

605
00:33:33,480 --> 00:33:37,920
Speaker 1: get Moo, like brought up Guantanamo Bay. You thought fucking

606
00:33:37,960 --> 00:33:39,960
Speaker 1: Tom Brady just walked in with a Super Bowl ring.

607
00:33:40,040 --> 00:33:42,960
Speaker 1: They were like, like, what the fund you cheering getmo

608
00:33:43,120 --> 00:33:45,880
Speaker 1: for like that? It doesn't There was so much ship

609
00:33:45,920 --> 00:33:49,400
Speaker 1: like that that I just it blew my mind. That

610
00:33:49,600 --> 00:33:52,760
Speaker 1: is the kind of odious ship that happens every state

611
00:33:52,800 --> 00:33:54,480
Speaker 1: in the Union, right right, But I don't know about

612
00:33:54,560 --> 00:33:58,120
Speaker 1: cheering like blown like this felt like overly aggressive for

613
00:33:58,240 --> 00:34:00,000
Speaker 1: like I don't know if what they knew they were

614
00:34:00,120 --> 00:34:02,400
Speaker 1: cheering for, like because it just felt like the structure

615
00:34:02,400 --> 00:34:03,920
Speaker 1: of the state of the Union was like I'm gonna

616
00:34:03,960 --> 00:34:06,320
Speaker 1: make a big point, but like pause for applause, point,

617
00:34:06,520 --> 00:34:09,200
Speaker 1: pause for applause, and when he's talking about like basically

618
00:34:09,239 --> 00:34:10,839
Speaker 1: saying like and we got to figure out how we

619
00:34:10,960 --> 00:34:16,080
Speaker 1: questioned them, of course, But I just feel like if

620
00:34:16,120 --> 00:34:18,880
Speaker 1: you're a member of Congress or guests, like you're just

621
00:34:19,000 --> 00:34:23,080
Speaker 1: on a team and there's no there's almost nothing that

622
00:34:23,120 --> 00:34:25,520
Speaker 1: they could say on your team side that you wouldn't

623
00:34:25,600 --> 00:34:28,200
Speaker 1: cheer for, right, Yeah. I guess at a point when

624
00:34:28,200 --> 00:34:32,160
Speaker 1: you're like, oh, I'm cheering. Stop, like just just kind

625
00:34:32,160 --> 00:34:35,040
Speaker 1: of like slow clap out of it. Yeah, the focus

626
00:34:35,080 --> 00:34:38,120
Speaker 1: on the reactions of democrats like that actually seems to

627
00:34:38,120 --> 00:34:42,839
Speaker 1: be a big part of the conservative media responses. Like

628
00:34:43,440 --> 00:34:46,919
Speaker 1: Drudges headline, like his main headline is Trump shows heart

629
00:34:48,160 --> 00:34:52,920
Speaker 1: approve of speech, but like all the headlines about the

630
00:34:52,960 --> 00:34:57,280
Speaker 1: speech otherwise are you know black down Stone faced reaction

631
00:34:57,400 --> 00:35:01,200
Speaker 1: to news of low black unemployment, which suggests that Trump

632
00:35:01,239 --> 00:35:03,719
Speaker 1: had just revealed to them for the first time that

633
00:35:04,400 --> 00:35:08,000
Speaker 1: black unemployment was low. And then Pelosi frowns at call

634
00:35:08,120 --> 00:35:11,680
Speaker 1: for working together. So they're trying to portray and Fox

635
00:35:11,719 --> 00:35:15,000
Speaker 1: News is doing the same thing, trying to portray democrats

636
00:35:15,040 --> 00:35:19,160
Speaker 1: and liberals as being unreasonable and not willing to work

637
00:35:19,200 --> 00:35:22,279
Speaker 1: with Trump. I mean, big misstep on Pelosi's part in

638
00:35:22,360 --> 00:35:27,359
Speaker 1: fighting MS thirteen members. As a guest was that was

639
00:35:27,960 --> 00:35:30,680
Speaker 1: and I thought her tear drop tattoo was a little overdone, right,

640
00:35:31,040 --> 00:35:32,480
Speaker 1: you know, she didn't have to have m S thirteen

641
00:35:32,520 --> 00:35:35,080
Speaker 1: tattooed on her throat like that, but it's a bad luck.

642
00:35:35,280 --> 00:35:42,680
Speaker 1: She worked stretch, She did a stretch a Pelican bay

643
00:35:42,800 --> 00:35:46,319
Speaker 1: um and just because this would be what Drudge and

644
00:35:46,840 --> 00:35:49,000
Speaker 1: the right wing media would be focusing on if it

645
00:35:49,040 --> 00:35:52,920
Speaker 1: were on the other foot, The ratings were down compared

646
00:35:52,960 --> 00:35:56,640
Speaker 1: to Obama's first State of the Union, so like way

647
00:35:56,680 --> 00:35:59,040
Speaker 1: down if you compare the two. So yeah, well it

648
00:35:59,040 --> 00:36:01,160
Speaker 1: was funny because I knew so many people who are actively,

649
00:36:01,200 --> 00:36:04,600
Speaker 1: like aggressively trying to avoid it, and clearly like I

650
00:36:04,640 --> 00:36:08,279
Speaker 1: wanted to, but we can't because we gotta keep our

651
00:36:08,320 --> 00:36:10,799
Speaker 1: finger on the pulse. So I had to grin and

652
00:36:10,840 --> 00:36:13,440
Speaker 1: get through it. But it was that pulse is pretty erratically.

653
00:36:14,000 --> 00:36:16,560
Speaker 1: It's wild. I think it's a there's hard palpitations, for sure,

654
00:36:16,680 --> 00:36:18,880
Speaker 1: we may have a fip, but yeah, it was a

655
00:36:18,880 --> 00:36:20,560
Speaker 1: wild ride. And I just don't like, you know, the

656
00:36:21,000 --> 00:36:23,960
Speaker 1: fucking the chain migration thing, Like they need to stop

657
00:36:23,960 --> 00:36:26,120
Speaker 1: with this chain migration ship, Like are you guys at

658
00:36:26,160 --> 00:36:28,960
Speaker 1: with that rhetoric? Do I feel like it's weaponized? It

659
00:36:28,960 --> 00:36:31,000
Speaker 1: should not. It should not be called chain migration. They

660
00:36:31,000 --> 00:36:33,920
Speaker 1: need to stop doing that. Family. Family, It is a

661
00:36:34,000 --> 00:36:36,000
Speaker 1: very important thing. Like my grandmother was able to come

662
00:36:36,040 --> 00:36:38,239
Speaker 1: here when my grandfather died in Japan because she was

663
00:36:38,360 --> 00:36:40,799
Speaker 1: sucking like she was alone, so we brought her over here.

664
00:36:40,840 --> 00:36:43,600
Speaker 1: We were able to because it's about unifying the family

665
00:36:43,840 --> 00:36:46,640
Speaker 1: rather than like leaving my grandma in Japan. And the

666
00:36:46,680 --> 00:36:50,840
Speaker 1: idea that like this is like unlimited family members getting

667
00:36:50,880 --> 00:36:53,200
Speaker 1: like it's not a promo at fucking olive garden where

668
00:36:53,200 --> 00:36:56,440
Speaker 1: you're like unlimited lobster and and family members getting free.

669
00:36:56,480 --> 00:36:59,080
Speaker 1: With chain migration, it's about, you know, people when they

670
00:36:59,080 --> 00:37:01,640
Speaker 1: migrate here, you don't want to have them isolated because

671
00:37:01,680 --> 00:37:04,440
Speaker 1: that's when they become vulnerable to extremism and shipped like that.

672
00:37:04,560 --> 00:37:06,280
Speaker 1: And if you have them there and you can maintain

673
00:37:06,320 --> 00:37:08,520
Speaker 1: some kind of semblance of a family unit, that's good

674
00:37:08,560 --> 00:37:11,719
Speaker 1: for everyone. And I think to like begin weaponizing this

675
00:37:11,760 --> 00:37:14,439
Speaker 1: ship and and basically turning this whole conversation to let's

676
00:37:14,440 --> 00:37:19,239
Speaker 1: just end fucking legal migration in general. Wild. Yeah, I mean,

677
00:37:19,280 --> 00:37:22,799
Speaker 1: that's the crazy thing is just they seamlessly went from

678
00:37:23,000 --> 00:37:26,319
Speaker 1: illegal immigration, which they've been saying for years, you know,

679
00:37:26,440 --> 00:37:30,200
Speaker 1: that's our main thing. They're not falling the right way,

680
00:37:30,560 --> 00:37:34,359
Speaker 1: and then suddenly just seamlessly shift to and we want

681
00:37:34,360 --> 00:37:36,960
Speaker 1: to limit legal migration. We want to like cut it

682
00:37:37,000 --> 00:37:39,880
Speaker 1: by a third essentially. It was also crazy. It was

683
00:37:39,920 --> 00:37:42,920
Speaker 1: like even talking about the lottery that was so overly

684
00:37:42,960 --> 00:37:46,319
Speaker 1: grossly mischaracterized on how that process works. It was just

685
00:37:46,360 --> 00:37:49,200
Speaker 1: like lie after lie, which is wild because if he

686
00:37:49,280 --> 00:37:50,960
Speaker 1: isn't just like, oh, you reach your fucking hand in

687
00:37:51,000 --> 00:37:53,359
Speaker 1: the bucket. And then this person comes like these people

688
00:37:53,360 --> 00:37:55,759
Speaker 1: already even to get in the program, you gotta have

689
00:37:55,800 --> 00:37:58,280
Speaker 1: a high school diploma and like work in a specific

690
00:37:58,320 --> 00:38:01,320
Speaker 1: industry like they're already did. And then once you get picked,

691
00:38:01,640 --> 00:38:03,799
Speaker 1: they will do a background check, they'll interview you, and

692
00:38:03,800 --> 00:38:05,480
Speaker 1: if they think you're security risk, you even go through

693
00:38:05,520 --> 00:38:07,640
Speaker 1: even more vetting. So it's it was just like a

694
00:38:07,640 --> 00:38:10,239
Speaker 1: lot of yeah, just fucking lies, but you know we're

695
00:38:10,880 --> 00:38:13,040
Speaker 1: But it's also just like I think I talked about

696
00:38:13,040 --> 00:38:15,400
Speaker 1: this one of the early times. It is the Gish gallop.

697
00:38:15,440 --> 00:38:17,799
Speaker 1: It's just like you tell so many lies, like even

698
00:38:17,800 --> 00:38:20,680
Speaker 1: what you're doing now, right, it's like point by point refutation.

699
00:38:21,320 --> 00:38:24,319
Speaker 1: It is just like it's exponential because it takes ten

700
00:38:24,400 --> 00:38:27,520
Speaker 1: sentences to refute a one sentence or even two sentences, right,

701
00:38:27,680 --> 00:38:30,799
Speaker 1: that's still exponential. And then you're just you're fun because

702
00:38:30,800 --> 00:38:33,160
Speaker 1: you sound like a person that's taking too long to

703
00:38:33,200 --> 00:38:39,400
Speaker 1: explain something that thank you doctor directly. Yeah. Yeah, Plus

704
00:38:39,400 --> 00:38:42,799
Speaker 1: there was that one guy who came over on the

705
00:38:42,840 --> 00:38:46,120
Speaker 1: lottery who attacked people in New York even though he

706
00:38:46,160 --> 00:38:51,520
Speaker 1: was radical. Uh yeah, I'm actually reading this book on

707
00:38:52,239 --> 00:38:56,720
Speaker 1: the Second Coming of the KKK. The KKK like started

708
00:38:56,719 --> 00:38:59,239
Speaker 1: in the aftermath of the Civil War, but then had

709
00:38:59,239 --> 00:39:02,880
Speaker 1: a huge agents in the nineteen twenties, which was a

710
00:39:03,080 --> 00:39:08,640
Speaker 1: just crazy racist, uh and anti Semitic period in American history.

711
00:39:08,760 --> 00:39:12,400
Speaker 1: Like it was when people were kind of on board

712
00:39:12,440 --> 00:39:18,600
Speaker 1: with all the dictatorships and authoritarian movements going on in Europe.

713
00:39:18,640 --> 00:39:22,279
Speaker 1: And there was something called the Business Plot where people

714
00:39:22,320 --> 00:39:26,759
Speaker 1: like Henry Ford and like really powerful business people tried

715
00:39:26,840 --> 00:39:29,760
Speaker 1: to overthrow the government that just people don't talk about

716
00:39:29,920 --> 00:39:34,080
Speaker 1: because it's kind of a scary story about how corporations

717
00:39:34,120 --> 00:39:38,520
Speaker 1: can become so powerful and corrupt. But um so this

718
00:39:38,760 --> 00:39:41,640
Speaker 1: book about the Second Coming of the KKK. One of

719
00:39:41,680 --> 00:39:47,200
Speaker 1: their main successes during that decade and it lasted for

720
00:39:47,200 --> 00:39:51,480
Speaker 1: forty years, was immigration. Like I hadn't realized that, Like

721
00:39:51,760 --> 00:39:54,680
Speaker 1: so many of the talking points from them in the

722
00:39:54,760 --> 00:39:57,960
Speaker 1: nine twenties are like line up with what people were

723
00:39:58,000 --> 00:40:01,919
Speaker 1: saying up to and including uh, the idea of they're

724
00:40:01,960 --> 00:40:05,960
Speaker 1: asking for Nordic uh, like immigrants. They're like, we need

725
00:40:06,000 --> 00:40:09,279
Speaker 1: more Nordic immigrants and need to cut down on you know,

726
00:40:09,440 --> 00:40:13,360
Speaker 1: all other types. They were actually mad about Irish and

727
00:40:13,440 --> 00:40:17,040
Speaker 1: Italian at the time, to see there's something to agree

728
00:40:17,080 --> 00:40:21,080
Speaker 1: with on, you know, common ground anyway, the Irish am

729
00:40:21,080 --> 00:40:26,120
Speaker 1: I right, um potatoes O'Brien, Yeah, you said potatoes before

730
00:40:26,160 --> 00:40:31,399
Speaker 1: we started recording in away that truly was like, but yeah,

731
00:40:31,520 --> 00:40:33,840
Speaker 1: I don't know, it's uh, you know, it's been a

732
00:40:33,920 --> 00:40:38,239
Speaker 1: KKK talking point for almost a hundred years. And yeah,

733
00:40:38,440 --> 00:40:42,400
Speaker 1: we're rebooting the nineteen twenties just in time. How to

734
00:40:42,440 --> 00:40:45,200
Speaker 1: do the reboot twenties? Is twenties? Well, yeah, with these

735
00:40:45,200 --> 00:40:46,680
Speaker 1: tax cuts, you know, even though he was like, I

736
00:40:46,680 --> 00:40:48,400
Speaker 1: gave the largest tax cut ever, it's like, oh no

737
00:40:48,480 --> 00:40:50,640
Speaker 1: he didn't, but but we know who did. And with

738
00:40:50,800 --> 00:40:54,839
Speaker 1: that sick but that kicked off? Baby? How did that end?

739
00:40:54,920 --> 00:40:57,360
Speaker 1: Just kept roaring right, kept rowing on through the World

740
00:40:57,360 --> 00:41:02,520
Speaker 1: War three? Right, so great. But the real highlight for

741
00:41:02,600 --> 00:41:06,040
Speaker 1: me was the response at the end. Can we move

742
00:41:06,080 --> 00:41:07,920
Speaker 1: on to the response? I want to make sure I

743
00:41:07,920 --> 00:41:10,480
Speaker 1: want to make sure we're good. You watched somebody named

744
00:41:12,080 --> 00:41:17,160
Speaker 1: Joseph Keady key not familiar part. How do you say Cannadie?

745
00:41:18,680 --> 00:41:22,959
Speaker 1: This kid Joe Cannadie, the third the three apparently he's

746
00:41:23,000 --> 00:41:25,640
Speaker 1: part of some uh sort of you know, big big

747
00:41:25,640 --> 00:41:32,640
Speaker 1: family dynasty of politicians. Oh Kennedy, that's so our FK's grandson,

748
00:41:32,760 --> 00:41:34,960
Speaker 1: Young Kennedy, which is his new rapper name, which I

749
00:41:34,960 --> 00:41:38,520
Speaker 1: think is a dope. That's actually Young Kennedy is And

750
00:41:38,560 --> 00:41:40,720
Speaker 1: I want to say that on Twitter, so don't steal

751
00:41:40,760 --> 00:41:42,960
Speaker 1: that. That That could be my new mak. But anyway, Young

752
00:41:43,040 --> 00:41:46,200
Speaker 1: Kenny came out and he gave the response to the

753
00:41:46,200 --> 00:41:49,040
Speaker 1: State of the Union, which is normally like the wackiest ship.

754
00:41:49,080 --> 00:41:50,560
Speaker 1: Like you don't want to be the person getting a

755
00:41:50,600 --> 00:41:54,560
Speaker 1: response because I think did it after Barack's first year

756
00:41:54,600 --> 00:41:56,960
Speaker 1: in an empty ass hallway and they're like it was

757
00:41:57,000 --> 00:41:59,399
Speaker 1: so transparent as he was like, well here's our non

758
00:41:59,440 --> 00:42:04,720
Speaker 1: white I talking. Looks like the effect of the speech

759
00:42:04,800 --> 00:42:08,200
Speaker 1: was like they just told him moments before turning the

760
00:42:08,239 --> 00:42:10,240
Speaker 1: camera on him that he had to do it, because

761
00:42:10,239 --> 00:42:13,520
Speaker 1: he was like so shook and just like caught off guard.

762
00:42:13,640 --> 00:42:16,759
Speaker 1: I think, did Marco Rubio do it when he had

763
00:42:16,760 --> 00:42:19,520
Speaker 1: a dry mouth? You could hear him. Yeah, but it

764
00:42:19,640 --> 00:42:22,000
Speaker 1: is like a thing, right, it's just gotta be. They

765
00:42:22,000 --> 00:42:26,239
Speaker 1: treated as the minor leagues for Yeah, they test you

766
00:42:26,280 --> 00:42:27,800
Speaker 1: out there like let's see how people respond to you.

767
00:42:27,840 --> 00:42:29,799
Speaker 1: Let's if they're picking up what you're putting down. And

768
00:42:29,880 --> 00:42:31,719
Speaker 1: let me tell you, Joe Kennedy fucking laid it the

769
00:42:31,800 --> 00:42:36,520
Speaker 1: fun down. I was so surprised at how well this

770
00:42:36,600 --> 00:42:39,960
Speaker 1: dude like gave his speech. I mean again, it could

771
00:42:40,040 --> 00:42:43,560
Speaker 1: also be the effect of immediately following a fucking heaping

772
00:42:43,560 --> 00:42:46,120
Speaker 1: trash fire that happened before in the in the formula

773
00:42:46,160 --> 00:42:47,880
Speaker 1: State of the Union. But I thought he was a

774
00:42:47,960 --> 00:42:51,440
Speaker 1: really great speaker. He came off very sincere. The speech

775
00:42:51,520 --> 00:42:55,360
Speaker 1: was very idealistic, but I liked that it was definitely

776
00:42:55,360 --> 00:42:57,480
Speaker 1: like left of center left too with some of his

777
00:42:57,560 --> 00:43:00,799
Speaker 1: talking points, which some like, like liberal pundits after like

778
00:43:00,840 --> 00:43:02,640
Speaker 1: I wish she was a little more centrist. It's like,

779
00:43:02,960 --> 00:43:04,720
Speaker 1: I'm not, We're not winning with that kind of messaging.

780
00:43:05,120 --> 00:43:08,480
Speaker 1: Uh talk that ship. Then he's like, I wish people

781
00:43:08,520 --> 00:43:10,920
Speaker 1: could see miles his face. Yeah, I'm I'm like animated

782
00:43:10,960 --> 00:43:14,280
Speaker 1: and I only had one cold brew to day. Halfway

783
00:43:14,280 --> 00:43:16,840
Speaker 1: through or towards the end, and he's like to the Dreamers,

784
00:43:16,920 --> 00:43:19,640
Speaker 1: straight up switches it to Spanish on him and not

785
00:43:19,680 --> 00:43:23,920
Speaker 1: in an awkward way like the VP candidate. Yeah, it

786
00:43:24,000 --> 00:43:26,120
Speaker 1: wasn't like to do it, and it sounded like he

787
00:43:26,320 --> 00:43:29,319
Speaker 1: was your seventh grade Spanish teacher. Like it was like

788
00:43:29,480 --> 00:43:33,520
Speaker 1: very like, I don't know what flavor I mean, because

789
00:43:33,520 --> 00:43:35,799
Speaker 1: Tim Kane speaks great, perfect Spanish. Yeah, this dude just

790
00:43:35,840 --> 00:43:39,200
Speaker 1: looked like he switches to Spanish in his day to

791
00:43:39,280 --> 00:43:42,520
Speaker 1: day language. He just came through. Sorry and Sophie are

792
00:43:43,000 --> 00:43:46,880
Speaker 1: who's sitting in for super producer Annajosnier just wanted me

793
00:43:47,000 --> 00:43:52,760
Speaker 1: to say a boner alert alert, the third boner alert.

794
00:43:52,840 --> 00:43:56,560
Speaker 1: He's got red hair, which is a thing she's into

795
00:43:56,560 --> 00:44:00,560
Speaker 1: every since. But yeah, he is a good looking dude.

796
00:44:00,600 --> 00:44:02,040
Speaker 1: He's a good looking do When he switched to the

797
00:44:02,080 --> 00:44:04,480
Speaker 1: Spanish though, I was impressed. Apparently he was working in

798
00:44:04,520 --> 00:44:06,880
Speaker 1: the Dominican Republic, I think with the Peace Corps, so

799
00:44:06,960 --> 00:44:08,920
Speaker 1: he's not just you know, he's he's out there, he's

800
00:44:08,920 --> 00:44:11,960
Speaker 1: putting he's putting in some work. But it was refreshing

801
00:44:12,000 --> 00:44:16,080
Speaker 1: to see someone be able to give a response without

802
00:44:16,120 --> 00:44:19,279
Speaker 1: like even directly addressing the president. Like it was just

803
00:44:19,320 --> 00:44:22,040
Speaker 1: about he was really kind of laying out the kinds

804
00:44:22,080 --> 00:44:24,680
Speaker 1: of values that I think like resonate with people from

805
00:44:24,680 --> 00:44:26,680
Speaker 1: a more popular standpoint of like, you know, you should

806
00:44:26,680 --> 00:44:29,160
Speaker 1: be able to afford to get your education, you know,

807
00:44:29,320 --> 00:44:32,279
Speaker 1: not go broke from needing healthcare and things like that.

808
00:44:32,360 --> 00:44:34,760
Speaker 1: And he didn't in a way that was very Obama asque.

809
00:44:34,760 --> 00:44:37,000
Speaker 1: Like you could tell his favorite rapper was Barack Obama

810
00:44:37,040 --> 00:44:39,280
Speaker 1: because the first make stape sounds exactly like Barack Obama,

811
00:44:39,520 --> 00:44:41,040
Speaker 1: but it was more of the cadence. It didn't feel

812
00:44:41,040 --> 00:44:42,880
Speaker 1: like a blatant rip off, but you knew he was

813
00:44:42,920 --> 00:44:46,880
Speaker 1: looking at some tape. Um And the way the media

814
00:44:46,960 --> 00:44:51,080
Speaker 1: is covering this is drool gate. They're being like, it

815
00:44:51,120 --> 00:44:53,280
Speaker 1: looked like maybe he had some spin on his lips

816
00:44:53,360 --> 00:44:56,120
Speaker 1: or something. Um here man, because I think he just

817
00:44:56,440 --> 00:45:00,000
Speaker 1: over over chap sticked his lips. He's probably a guy

818
00:45:00,000 --> 00:45:02,319
Speaker 1: I with chap chap lips all the time. And then

819
00:45:02,400 --> 00:45:05,719
Speaker 1: he probably went a little overboard with the chapstick and

820
00:45:05,840 --> 00:45:08,080
Speaker 1: his lips were a little bit smaller than the diameter

821
00:45:08,080 --> 00:45:10,160
Speaker 1: of the chapstick still got to the edges. He had

822
00:45:10,160 --> 00:45:12,319
Speaker 1: some shiny ship going on, right. I feel like if

823
00:45:12,320 --> 00:45:14,839
Speaker 1: they were just really like, just don't have dry mouth,

824
00:45:15,200 --> 00:45:17,960
Speaker 1: whatever you do, so you know, they went the opposite direction,

825
00:45:18,239 --> 00:45:20,759
Speaker 1: right the ship, you'll bring that baby oil over here

826
00:45:21,000 --> 00:45:26,200
Speaker 1: at this Republicans dry Democrats wet. Right, we are going

827
00:45:26,239 --> 00:45:36,480
Speaker 1: to take a quick break. We'll be right back. And

828
00:45:36,600 --> 00:45:40,359
Speaker 1: we're back, and uh, we wanted to talk about this

829
00:45:40,440 --> 00:45:45,720
Speaker 1: New York Times story that just came out, I believe yesterday, Uh,

830
00:45:45,920 --> 00:45:49,720
Speaker 1: where they did a really in depth study into whether

831
00:45:49,840 --> 00:45:54,120
Speaker 1: the Fast and the Furious movies caused people to drive

832
00:45:54,239 --> 00:45:58,360
Speaker 1: faster a century. Um, that sounds like a wild bet

833
00:45:58,760 --> 00:46:01,480
Speaker 1: like that to journalist, and they're like smoking weed, Like

834
00:46:01,640 --> 00:46:04,160
Speaker 1: you think people drive faster after seeing the movie. No,

835
00:46:04,239 --> 00:46:06,600
Speaker 1: you know, let's go to the that needs to be

836
00:46:07,000 --> 00:46:08,880
Speaker 1: they need to have a section of the paper that

837
00:46:09,000 --> 00:46:14,800
Speaker 1: is just that just kind of drunk conversations like settling

838
00:46:15,840 --> 00:46:18,680
Speaker 1: I know to be true about myself, but like I

839
00:46:18,800 --> 00:46:22,600
Speaker 1: definitely didn't know that you could statistically prove it, but

840
00:46:22,680 --> 00:46:25,000
Speaker 1: like I definitely drive faster after seeing Fast in the

841
00:46:25,040 --> 00:46:28,839
Speaker 1: Furious movies. Right, So they did an exhaustive search or

842
00:46:28,880 --> 00:46:31,759
Speaker 1: like went through many speeding tickets, right right, They just

843
00:46:31,800 --> 00:46:34,920
Speaker 1: looked at a single county I believe, and just you know,

844
00:46:35,080 --> 00:46:39,400
Speaker 1: across time and did a really detailed statistical analysis of

845
00:46:39,880 --> 00:46:42,719
Speaker 1: you know, how much speeding tickets rose and what the

846
00:46:42,760 --> 00:46:46,360
Speaker 1: speed people were clocked at was when they got speeding tickets,

847
00:46:46,680 --> 00:46:50,959
Speaker 1: and there was a significant like a rise in the

848
00:46:51,000 --> 00:46:53,439
Speaker 1: months after a fest in the Furious movie came out,

849
00:46:53,880 --> 00:46:57,120
Speaker 1: and people were more likely to get caught speeding near

850
00:46:57,200 --> 00:47:00,719
Speaker 1: movie theaters also, And then they compared it with like

851
00:47:00,840 --> 00:47:05,640
Speaker 1: Hunger Games really sweekends no fluctuation. Hunger Games had no fluctuation.

852
00:47:05,800 --> 00:47:08,160
Speaker 1: So yeah, I don't know. This is something that I've

853
00:47:08,160 --> 00:47:11,279
Speaker 1: always thought was underrated. And I think I might think

854
00:47:11,320 --> 00:47:14,799
Speaker 1: that because I am more affected by popular culture than

855
00:47:14,840 --> 00:47:20,160
Speaker 1: other people. But just how influenced we are by popular culture,

856
00:47:20,280 --> 00:47:24,320
Speaker 1: like that seems to be yeah, by the daily Like

857
00:47:24,320 --> 00:47:27,680
Speaker 1: like I've just thought it's underrated, how we change minds

858
00:47:27,880 --> 00:47:33,000
Speaker 1: every day, are creating new world parts to know. But

859
00:47:33,040 --> 00:47:36,800
Speaker 1: like growing up, I was always I would like find

860
00:47:36,920 --> 00:47:40,200
Speaker 1: myself like talking like a movie character or something, just

861
00:47:40,239 --> 00:47:43,200
Speaker 1: because I don't know, I would like take it in.

862
00:47:43,440 --> 00:47:48,479
Speaker 1: When I was watching The Sopranos a lot, I had

863
00:47:48,520 --> 00:47:51,000
Speaker 1: this weird New York accent for like a couple of months.

864
00:47:51,040 --> 00:47:53,600
Speaker 1: Oh my god. The week I got the Mr. Show

865
00:47:53,719 --> 00:47:59,000
Speaker 1: DVD set was by far my most insufferable. There's no

866
00:47:59,080 --> 00:48:01,719
Speaker 1: worse person. And Andrew the week after he watched all

867
00:48:01,760 --> 00:48:07,440
Speaker 1: of Mr. Schuf Um. Yeah, and I mean, there's other examples,

868
00:48:07,480 --> 00:48:11,880
Speaker 1: like the whole thing with family being a big value

869
00:48:11,960 --> 00:48:16,200
Speaker 1: with mafia people. Uh, that was mostly started by the

870
00:48:16,280 --> 00:48:20,160
Speaker 1: Godfather and like they incorporated that afterwards, but it was

871
00:48:20,239 --> 00:48:23,800
Speaker 1: mostly prior to that. It was just like crime organizations,

872
00:48:23,880 --> 00:48:26,160
Speaker 1: like any other games, just like the forty Italians on

873
00:48:26,239 --> 00:48:30,120
Speaker 1: Your Block exactly. Uh, but not family dinners and all that,

874
00:48:30,400 --> 00:48:33,440
Speaker 1: right right? Um? Yeah, and the way they dressed was

875
00:48:33,480 --> 00:48:38,320
Speaker 1: influenced by Brando in another movie. Uh. So it's I

876
00:48:38,360 --> 00:48:40,239
Speaker 1: don't know, I think that's an underrated thing. Do you

877
00:48:40,239 --> 00:48:42,919
Speaker 1: guys ever, do you feel like you've made any big

878
00:48:42,960 --> 00:48:47,839
Speaker 1: life decisions based on what you're watching? Man, I think

879
00:48:48,080 --> 00:48:50,840
Speaker 1: I don't know. If it's what I'm watching, maybe it is. Uh.

880
00:48:51,000 --> 00:48:54,160
Speaker 1: I really used to only exclusively smoked blunts because of

881
00:48:54,200 --> 00:48:58,000
Speaker 1: Wu Tang Clan, uh and seeing Method Man and Red

882
00:48:58,000 --> 00:49:00,160
Speaker 1: Man and I'm like, oh, they're always okay smoke rolling

883
00:49:00,200 --> 00:49:02,560
Speaker 1: up a backwood. I don't know. Hip hop definitely changed

884
00:49:02,640 --> 00:49:07,759
Speaker 1: altered a lot of my consumption habits from drugs and alcohol. Yeah,

885
00:49:07,800 --> 00:49:12,399
Speaker 1: by design, I hope that's why. That's right. Right. Going

886
00:49:12,440 --> 00:49:14,359
Speaker 1: back to the video game thing, actually, now I'm now

887
00:49:14,360 --> 00:49:17,839
Speaker 1: that we're talking about it, the Look, this is gonna

888
00:49:17,920 --> 00:49:20,000
Speaker 1: age me a little bit. But when my roommates, when

889
00:49:20,640 --> 00:49:22,920
Speaker 1: Vision came out, when when my roommates were playing a

890
00:49:22,960 --> 00:49:26,680
Speaker 1: lot of Grand Theft Auto three, it really desensitized me.

891
00:49:26,719 --> 00:49:28,480
Speaker 1: Not in the way that you would think to violence.

892
00:49:28,640 --> 00:49:32,880
Speaker 1: It really desensitized me to how allowed you are to

893
00:49:32,960 --> 00:49:37,480
Speaker 1: just walk into traffic right like I thought you could

894
00:49:37,520 --> 00:49:39,560
Speaker 1: just like I would just kind of do it, and

895
00:49:39,600 --> 00:49:41,680
Speaker 1: it just kind of stare down cars, being like the

896
00:49:41,680 --> 00:49:44,640
Speaker 1: funk you want? This is in New York Launch, Yeah,

897
00:49:44,640 --> 00:49:47,000
Speaker 1: a little more acceptable, but it made you feel like

898
00:49:47,040 --> 00:49:49,520
Speaker 1: you were invincible to cars or made sorry made me

899
00:49:49,560 --> 00:49:51,799
Speaker 1: feel like I was invincible to cars. It gave me

900
00:49:51,840 --> 00:49:54,160
Speaker 1: the opposite effect I would be driving. I'm like, what

901
00:49:54,239 --> 00:49:57,600
Speaker 1: if I just rand these people over? Like a yeah?

902
00:49:57,719 --> 00:50:00,600
Speaker 1: And then and then the New York Times next, uh

903
00:50:01,120 --> 00:50:02,880
Speaker 1: study that they need to do is weather in the

904
00:50:02,920 --> 00:50:06,480
Speaker 1: aftermath of Grand Theft Auto game releases, if like, uh,

905
00:50:06,760 --> 00:50:11,759
Speaker 1: pedestrians getting hit like rises. I don't know, but but

906
00:50:11,800 --> 00:50:14,240
Speaker 1: there was a study that said violent video games don't

907
00:50:14,239 --> 00:50:20,240
Speaker 1: necessarily affect people's behavior, right a thousand studies saying both, Yeah,

908
00:50:21,200 --> 00:50:23,560
Speaker 1: I think the thing is it's more subtle than that, right,

909
00:50:23,600 --> 00:50:25,799
Speaker 1: It's it's less like, oh, you think you can just

910
00:50:25,840 --> 00:50:28,760
Speaker 1: beat people up, But I do think there's like something

911
00:50:28,800 --> 00:50:31,480
Speaker 1: akin to like they just you know, you become less

912
00:50:31,880 --> 00:50:35,560
Speaker 1: sensitized to how dangerous a car is, or maybe like

913
00:50:35,600 --> 00:50:38,399
Speaker 1: you could you could do like research into like kind

914
00:50:38,400 --> 00:50:41,880
Speaker 1: of disciplinary issues in a school, like either side of

915
00:50:41,880 --> 00:50:44,000
Speaker 1: a video game release, because you might walk in your

916
00:50:44,000 --> 00:50:46,120
Speaker 1: class and just talk spicy to your teacher or like

917
00:50:46,200 --> 00:50:48,960
Speaker 1: rougher kid up. I just come high off this Vice

918
00:50:49,000 --> 00:50:52,399
Speaker 1: City right now. Yeah, I just like the idea of like,

919
00:50:52,800 --> 00:50:55,359
Speaker 1: first of all, listen, I'm just using this as uh,

920
00:50:55,560 --> 00:50:57,880
Speaker 1: this is poor man's copyright. I just really want to

921
00:50:57,920 --> 00:50:59,880
Speaker 1: do someone to do a Purge movie that's just a

922
00:51:00,000 --> 00:51:04,720
Speaker 1: out tax fraud. But you know, all crime is legal,

923
00:51:04,960 --> 00:51:08,319
Speaker 1: doesn't have to be violent crimes, just like tax amnesty

924
00:51:08,480 --> 00:51:10,279
Speaker 1: or whatever. I don't know, like like if you if

925
00:51:10,280 --> 00:51:14,200
Speaker 1: you if you follow your fraud file, your fraudulent taxes

926
00:51:14,200 --> 00:51:19,799
Speaker 1: on Purge Day, what happens? I made nothing this year.

927
00:51:19,960 --> 00:51:21,400
Speaker 1: I just said, I just think there's a room for

928
00:51:21,440 --> 00:51:24,080
Speaker 1: a comedy in that universe. That's all. But second of all,

929
00:51:24,080 --> 00:51:26,000
Speaker 1: I'm like, I see it's like like or with the

930
00:51:26,080 --> 00:51:29,520
Speaker 1: Hunger Games example, like it's not like, oh, people are

931
00:51:29,520 --> 00:51:32,279
Speaker 1: out shooting arrows because the Hunger Games thing is out.

932
00:51:32,320 --> 00:51:35,160
Speaker 1: But like, do people have a different like relationship to

933
00:51:35,239 --> 00:51:38,880
Speaker 1: authority or or whatever? Like is that the power of

934
00:51:38,880 --> 00:51:42,960
Speaker 1: the media, y'all? I wish someone had studied this? Yeah? Well, yeah,

935
00:51:43,040 --> 00:51:47,480
Speaker 1: I wonder if bow hunting increases after Hungry Games. Yeah,

936
00:51:47,680 --> 00:51:51,000
Speaker 1: or Winter's Bill. Well, my friends, My Friends kid is

937
00:51:51,680 --> 00:51:56,800
Speaker 1: all about kung fu because of Ninjago. Yeah, um, bringing

938
00:51:56,840 --> 00:52:00,760
Speaker 1: it full circle. Yeah, And I do feel like movies

939
00:52:01,120 --> 00:52:05,840
Speaker 1: despite the fact that they're supposedly made by liberals in uh,

940
00:52:06,040 --> 00:52:09,480
Speaker 1: you know, holly weird in urban places, they like the

941
00:52:09,560 --> 00:52:13,200
Speaker 1: Hunger Games. Uh. A writer at Cracked, David Wong, talked

942
00:52:13,200 --> 00:52:16,720
Speaker 1: about how like the values in our movies are all

943
00:52:16,920 --> 00:52:20,000
Speaker 1: like pro rural people, like people out in the sticks,

944
00:52:20,000 --> 00:52:24,200
Speaker 1: and like anti people in cities, like, for instance, in

945
00:52:24,239 --> 00:52:28,280
Speaker 1: The Hunger Games, the capital everyone's like a elaborately dressed

946
00:52:28,280 --> 00:52:31,480
Speaker 1: like weirdo. Or in Star Wars, like you know, the

947
00:52:31,480 --> 00:52:34,960
Speaker 1: the Empire is like the city, and then like Luke,

948
00:52:35,080 --> 00:52:39,280
Speaker 1: the heroes out in the rural areas. And our producer

949
00:52:39,480 --> 00:52:43,200
Speaker 1: Sophie Lichterman has just shown me that yes, in fact,

950
00:52:43,320 --> 00:52:47,719
Speaker 1: there was a huge rise in girls bow hunting or

951
00:52:47,880 --> 00:52:51,919
Speaker 1: learning how to shoot arrows and archery back when hunger

952
00:52:52,000 --> 00:52:55,319
Speaker 1: Games happened. Uh yeah, and there's all there's always a

953
00:52:55,360 --> 00:53:00,520
Speaker 1: huge spike in uh clown fish after like a Nemo movie. Yeah,

954
00:53:01,200 --> 00:53:03,799
Speaker 1: people have to I think owls. There was like a

955
00:53:03,880 --> 00:53:07,480
Speaker 1: huge owl epidemic after Harry Potter and people are like

956
00:53:08,160 --> 00:53:13,120
Speaker 1: the wildlife. People were like, guys, stop, this is a yeah,

957
00:53:13,160 --> 00:53:16,839
Speaker 1: this is a terrible idea. Um, but yeah, that that

958
00:53:17,160 --> 00:53:19,799
Speaker 1: is always problematic after a kids movie comes out with

959
00:53:19,840 --> 00:53:24,200
Speaker 1: an adorable animal. Andrew, it's been a pleasure having you.

960
00:53:24,440 --> 00:53:28,680
Speaker 1: Thank you. Uh, where can people find you? Andrew T

961
00:53:28,920 --> 00:53:31,400
Speaker 1: last name is spelled t. I he ows this racist

962
00:53:31,840 --> 00:53:35,040
Speaker 1: let's just say yours this racist dot com on Twitter too? Yeah,

963
00:53:35,120 --> 00:53:37,800
Speaker 1: we were on were onscis you guys check out that episode?

964
00:53:37,880 --> 00:53:41,600
Speaker 1: Yeah if I only listen to that episode off the

965
00:53:41,680 --> 00:53:46,600
Speaker 1: number yea favorite Jamie. We were we were talking about

966
00:53:46,680 --> 00:53:50,880
Speaker 1: how um I hit her up immediately after she tweeted

967
00:53:50,920 --> 00:53:57,520
Speaker 1: about how she was super podcast guest. I was like,

968
00:53:58,040 --> 00:54:00,160
Speaker 1: you know what, it is true, but you are great us.

969
00:54:00,280 --> 00:54:04,640
Speaker 1: So she's wow, She's she's great. She's the best. Miles.

970
00:54:04,640 --> 00:54:06,440
Speaker 1: Where can people find you? You can find me on

971
00:54:06,440 --> 00:54:10,680
Speaker 1: Twitter and Instagram at Miles of Gray. You can find

972
00:54:10,680 --> 00:54:14,399
Speaker 1: me at Jack Underscore O'Brien. You can find us at

973
00:54:14,480 --> 00:54:17,360
Speaker 1: Daily Zeitgeist on Twitter. We are at the Daily Zigeist

974
00:54:17,400 --> 00:54:19,719
Speaker 1: on Instagram. We have a Facebook fan page. Just search

975
00:54:19,840 --> 00:54:23,440
Speaker 1: Daily Zeitgeist. We have a website Daily Zeitgeis dot com

976
00:54:23,440 --> 00:54:26,000
Speaker 1: where we post our episodes in our foot dope, we

977
00:54:26,080 --> 00:54:28,520
Speaker 1: link off to the sources of the information that we

978
00:54:28,560 --> 00:54:32,320
Speaker 1: talked about today. Uh, you guys check out Culture Kings.

979
00:54:32,840 --> 00:54:36,320
Speaker 1: You're on their home first spin off podcast from the

980
00:54:36,440 --> 00:54:41,239
Speaker 1: Daily Zeitgeis. It has three of the funniest improvisers in

981
00:54:41,400 --> 00:54:44,719
Speaker 1: Los Angeles. It just released a new episode. We're four

982
00:54:44,800 --> 00:54:47,960
Speaker 1: weeks in. Uh the episodes, each one is better than

983
00:54:48,000 --> 00:54:50,920
Speaker 1: the last, but they're all really good. So please go

984
00:54:51,040 --> 00:54:54,000
Speaker 1: check that out. And that is going to do it

985
00:54:54,120 --> 00:54:57,719
Speaker 1: for us today. Uh. We will be back tomorrow because

986
00:54:57,760 --> 00:54:59,799
Speaker 1: it is a daily podcast. Talk to you guys up

987
00:55:00,480 --> 00:55:08,400
Speaker 1: the pile and the actor Patter batbout the part of

988
00:55:08,600 --> 00:55:08,880
Speaker 1: ap