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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. Uh These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza. Uh So, without further ado, here is the

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Speaker 1: Weekly Zeitgeist. Our writer from Canada, so typical, Jam McNabb

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Speaker 1: post the hypothetical question what if Mueller actually kind of

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Speaker 1: sucks at his job? Um? Which is not something I

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Speaker 1: had heard raised. But he kind of built a disturbingly

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Speaker 1: convincing case that that might be. I mean, yeah, built

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Speaker 1: the case at least made us scratch our heads. Right. So,

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Speaker 1: like Mueller, The thing you always here is that he

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Speaker 1: was the head of the FBI for a number of

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Speaker 1: years in a row, I think his full term, and

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Speaker 1: then Obama like kept him on for a couple of

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Speaker 1: years because he was so good at his job. And

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Speaker 1: so you know that that sounds like, oh man, this

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Speaker 1: guy's got a shipped together. He's probably gonna be like

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Speaker 1: Mr Ace Detective, like the dark Knight of the modern world. Uh.

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Speaker 1: And there are a couple investigations in his background that

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Speaker 1: he headed up that have been totally like bungled. So

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Speaker 1: there's a case in the late seventies where he headed

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Speaker 1: up an investigation into the Hell's Angels who were openly

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Speaker 1: like selling drugs and racketeering and uh just gang assaulting people.

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Speaker 1: And so he led a team for prosecutors to retry

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Speaker 1: these guys, eleven of them. Uh. And after four months

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Speaker 1: the jury was like, we're deadlocked, and the judge declared

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Speaker 1: a mistrial and Mueller was like, yeah, no further questions,

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Speaker 1: I'm not going to seek a retrial, which and this

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Speaker 1: was the case that people thought should have been barely

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Speaker 1: easy ish to make. Um, but that was a long time.

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Speaker 1: Oh Uh. Letty and his defense too, they were saying

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Speaker 1: that like at the time, these racketeering charges he came

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Speaker 1: up with were like sort of novel back then, like

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Speaker 1: that it was. It was a sort of a very

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Speaker 1: different way of going after these kind of groups. And

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Speaker 1: then the other big case that he was in charge

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Speaker 1: of was figuring out what the funk was going on

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Speaker 1: in the aftermath of nine eleven with the anthrax attacks

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Speaker 1: that killed five people, uh, sent seventeen others to the hospital. Uh.

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Speaker 1: The FBI was in charge of finding out who it was,

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Speaker 1: and there were only a set group of people with

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Speaker 1: access to this, like weapons grade, government grade anthrax, and

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Speaker 1: they originally accused a guy named Stephen Jay Hatfill who

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Speaker 1: was a virologist at the Army's laboratories at Fort Dietrich

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Speaker 1: in Maryland, but that got out to the media and

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Speaker 1: he ended up suing the FBI for five point eight

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Speaker 1: million dollars because it wasn't him and uh like, the

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Speaker 1: type of anthrax that he had X two was not

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Speaker 1: the type of anthrax that was used in the attacks.

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Speaker 1: And then so the story that I had always heard

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Speaker 1: is that they then found the guy who definitely did it,

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Speaker 1: this guy Bruce E. Evans, who, when he learned from

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Speaker 1: his lawyer that he was about to be accused of

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Speaker 1: murder and connection with these anthrax attacks, committed suicide. And

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Speaker 1: there there are still reasons to think that he might

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Speaker 1: have been the guilty party. Namely, he found out from

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Speaker 1: his lawyer that he was being accused and rather than

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Speaker 1: being like, damn it, I'm innocent, killed himself. So that's crazy.

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Speaker 1: But on the other hand, there are a lot of

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Speaker 1: sort of second guessing going on about whether he was

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Speaker 1: actually guilty. They say that, you know, some of the

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Speaker 1: evidence where they're suggesting that the types of anthrax matched up.

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Speaker 1: Might just be a case of parallel evolution basically because

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Speaker 1: anthrax is like a living organism. Uh, they were able

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Speaker 1: to match the anthrax he had access to, to the

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Speaker 1: anthrax and the envelopes, but they were saying, no, you

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Speaker 1: could easily have two batches of anthrax that just evolved

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Speaker 1: in similar directions essentially. Um, so we we don't really know.

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Speaker 1: There's just been accusations that Muller and the FBI didn't

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Speaker 1: rigorously enough explore that explanation. And then there was a

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Speaker 1: supposedly a FBI campaign to paint him as the guilty

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Speaker 1: party after he died, so to like really just making

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Speaker 1: an open and shut thing, um, which obviously would be

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Speaker 1: very convenient for them, like, oh, well, this guy can't

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Speaker 1: protect himself anymore. So it's just you know, this guy

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Speaker 1: bury him so to speak. It's tough to like hear that,

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Speaker 1: like he kind of fucked up in the past. But again,

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Speaker 1: we don't know. These could be the kinds of mistakes

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Speaker 1: the superhero has to go through, kinds of failures that

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Speaker 1: are like, you know what, I'm not sucking up this time.

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Speaker 1: There's a time to get it right right, So we

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Speaker 1: shall see. It's just a thing that I had totally

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Speaker 1: blindsided me because I had only heard that he was

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Speaker 1: like this superhero FBI leader. Yeah you're like, yeah, I

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Speaker 1: was hoping the article would be like he had a

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Speaker 1: dream about these serial killers and he found them the

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Speaker 1: next day and prevented a mass murder exactly. But again,

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Speaker 1: it's like I didn't know how to prosecute, so we

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Speaker 1: wanted to talk about this big Veritas sting. Uh So

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Speaker 1: this dude James O'Keeffe, who is um, not really a journalist.

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Speaker 1: He's more like he is to journalism what those YouTube

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Speaker 1: prank videos are too comedy journalism. I guess he's just

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Speaker 1: like a YouTube prank video guy, like what viners are

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Speaker 1: at a comedy right. Yeah, that would have been a version.

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Speaker 1: My analogy was not well constrained. But that was off

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Speaker 1: top man, and I was I've been thinking about it,

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Speaker 1: and uh so, what what happened Miles? You were telling

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Speaker 1: us about this? He tended staying like two weeks yo, Okay, Yes,

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Speaker 1: So this guy James O'Keefe, he has this organization called

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Speaker 1: Project Veritas for their their whole thing is to infiltrate

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Speaker 1: liberal groups, media groups, nonprofit organizations and try and like

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Speaker 1: do undercover video ship, Yeah, and then selectively edit it

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Speaker 1: so to make the organization or entity look as terrible

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Speaker 1: as possible. And it's never he's never actually dug up

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Speaker 1: real ship. He's always just found sound bites he's able

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Speaker 1: to piece together and then be like, oh, look at

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Speaker 1: the New York Times there in line with James Comey,

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Speaker 1: which is a whole other story I can get into

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Speaker 1: later because a personal friend of mine was caught up

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Speaker 1: in one of James O'Keeffe's stings. But anyway, it sounds

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Speaker 1: like this is a personal thing to me. Yeah, maybe

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Speaker 1: your seatbelts because I'm about to air this dude out.

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Speaker 1: So he basically, The Washington Post broke the most damning

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Speaker 1: Roy Moore stories about his you know, alleged pedophilia and

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Speaker 1: sexual assault. Um, and for the longest time, like we've

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Speaker 1: seen things come out that people have been trying to

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Speaker 1: discredit The Washington Post. Like there was someone on Twitter

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Speaker 1: who was like, my wife was approached and offered a

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Speaker 1: thousand dollars to make a false accusation against Roy Moore,

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Speaker 1: And then we covered this. A couple of weeks ago,

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Speaker 1: there was a really bizarre robo call that went into

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Speaker 1: Alabama with like the most offensive version of a Jewish

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Speaker 1: guy named Bernie Bernstein from the Washington Post and I'll

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Speaker 1: give you moneys if you lie about Roy Moore. And

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Speaker 1: I'm even doing a better version because this guy who

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Speaker 1: was acting couldn't even do like a real New York accent. Also,

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Speaker 1: they came with the name Bernie next level, So this

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Speaker 1: is like, so we don't know if those are exactly

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Speaker 1: writing exactly. It is like they do not put a

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Speaker 1: lot of thought into fake name. As we will find out.

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Speaker 1: It's like, my name is Andy Hanukah, Like you know,

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Speaker 1: it's like what the fuck? Like, okay, sure, so we

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Speaker 1: don't know these things are connected, yeah, but we do

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Speaker 1: know that there is a push clearly to discredit the

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Speaker 1: Washington Post and make Roy Moore look better. Um, so

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Speaker 1: the latest fuckory from Project Veritas was he basically sent

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Speaker 1: in a woman to lie about the fact that she

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Speaker 1: had hooked up with Roy Moore and than early nineties

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Speaker 1: as a teenager and they were having sexual relationship and

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Speaker 1: he made her get an abortion, and so she wanted

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Speaker 1: to come out and break that story with the Washington Post.

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Speaker 1: And that's like the false pretense that this woman who

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Speaker 1: works with Project Veritas under James O'Keeffe was sent to

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Speaker 1: do and her you know, her whole story was like

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Speaker 1: you know, obviously if if true, like would have been

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Speaker 1: a bombshell other thing. Um, but she kind of like

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Speaker 1: rubbed the Washington Post people the wrong way because like

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Speaker 1: she was really adamant. Every time she's talking to she's like, well,

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Speaker 1: you guys will do everything, this will end Roy More, right,

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Speaker 1: like I want him out of the race, and being

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Speaker 1: very transparent, especially what James O'Keefe thinks the Washington Post

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Speaker 1: would be into. They think, like I think he was

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Speaker 1: hoping she would say something like this, will you know

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Speaker 1: this will end him right? And I think the sexiest

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Speaker 1: sound bite he was hoping for was like, yes, because

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Speaker 1: it is our mission as a Washington Post to smear

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Speaker 1: Roy More in anyway, even if it is a dubious

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Speaker 1: accusation or whatever. So but push comes to shove. He

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Speaker 1: doesn't realize that the Washington Posts are actual journals, right,

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Speaker 1: so they don't Yeah, they don't know what actual journalism is.

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Speaker 1: So they aren't prepared for this because they think they

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Speaker 1: think it's easy. It's going. Hey, a fake robo called

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Speaker 1: Bernie Burnstein. Again, not that they're connected, but the thought,

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Speaker 1: the the logic being applied by people trying to describe

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Speaker 1: the Washington Post is like it's that easy, like just

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Speaker 1: tell them, And so it's very dangerous because a what

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Speaker 1: in in doing so, you're also trying to invalidate credible

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Speaker 1: victims of sexual assault, which is like are on its

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Speaker 1: service completely fucked up and deranged anyway? But also this guy,

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Speaker 1: he is the worst at actually digging any kind of

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Speaker 1: real story up, Like he has a pattern of failure,

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Speaker 1: which we'll get into later. So cut to this Washington

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Speaker 1: Post journalist. She meets with this woman who calls herself

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Speaker 1: Jamie fell Ups, who is the accuser. But what this,

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Speaker 1: what this woman doesn't realize is that this woman, this

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Speaker 1: other journalist from the Post, she came with fucking receipts.

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Speaker 1: Like she didn't just go to be like, yeah, let's

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Speaker 1: hear more about your story. They're like hold up. Like

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Speaker 1: in the process of talking to someone like hold on,

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Speaker 1: we found some stuff. We found a go fund me

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Speaker 1: page where she was like, Hey, I need money to

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Speaker 1: go to New York so I can work for the

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Speaker 1: Daily Caller as like a investigative journalists to bring down

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Speaker 1: the liberal mainstream media. It was literally on her go

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Speaker 1: fund me page with her name on it, so they're like, okay,

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Speaker 1: this is already weird. They did they looked into her

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Speaker 1: like where she said she worked and these other things,

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Speaker 1: and nothing added up. So basically, the Washington Post they

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Speaker 1: decided to turn the tables and they're like, you know what,

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Speaker 1: let's set up some cameras. Let's where Mike yeah, because

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Speaker 1: this is what they this is what James O'Keeffe and

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Speaker 1: Project Veritas does to other like uh A news outlets.

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Speaker 1: So they're like, you know what, let's turn the tables up.

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Speaker 1: So we're about to play the clip, which is like

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Speaker 1: this whole interaction with the Washington Post and this mole

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Speaker 1: Jamie Phillips really comes to a head um and this

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Speaker 1: is right off the heels of the Washington Post. Reporter

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Speaker 1: sliding a like a screen grab of the go fund

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Speaker 1: me page and be like, so you want to work

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Speaker 1: for conservative undercover? Got to journalism? She's like no, no,

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Speaker 1: And she's like, well, who did you interview with over there?

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Speaker 1: And she begins to try and explain who she's interviewing with,

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Speaker 1: and she comes up with a very generic name and

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Speaker 1: this is taking place in a public restaurant, which is

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Speaker 1: why it's so loud. Like the woman was like, I

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Speaker 1: want to meet you. Uh, the person who originally reported

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Speaker 1: on Roy Moore in a public restaurant, and the Washington

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Speaker 1: Post shows up having actually fact checked her background. Okay,

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Speaker 1: and uh? And so who was the person that you

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Speaker 1: interviewed with? It was a lady name Colthy. What was

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Speaker 1: her last name? Johnson? Kathy Johnson, Kathy Johnson? And where

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Speaker 1: was it in the New York area? Uh? Huh. But

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Speaker 1: I don't know why we are going into all this

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Speaker 1: that I haven't even agreed to go through with the story. Yues. Yeah, well,

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Speaker 1: since you you know, since you contacted us, um uh,

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Speaker 1: you you reached out to us, you know, we you know,

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Speaker 1: went ahead and did some background checking, you know what

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Speaker 1: I mean, on on some of the things that you

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Speaker 1: had told Beth about your story, and so this came up.

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Speaker 1: And so I just want to understand what that's about

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Speaker 1: and why you would want to work for the Daily Caller.

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Speaker 1: And I'm also you know, frankly want to know if

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Speaker 1: you're who you might be working for now. I work,

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Speaker 1: I still do mortgage work. Well, it's a little bit

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Speaker 1: of an issue there, and you know, I just want

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Speaker 1: to ask you to explain it because when we called

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Speaker 1: the company that you said that you worked for, UM,

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Speaker 1: they said they didn't have that you didn't work there.

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Speaker 1: So if you're not working for that mortgage company, where

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Speaker 1: are you working? You said a friend a brand, a

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Speaker 1: brand Maverick, and where is that? Um? It was out

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Speaker 1: of Atlanta. It was out of Atlanta. So did your

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Speaker 1: do you still have an interest? And as this says,

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Speaker 1: combating the wise into state of the liberal MSM, you

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Speaker 1: still an interest in and working in the conservative media

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Speaker 1: movement to combat the wise in the seat of the

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Speaker 1: liberal m s M. Is that is that still your interest? Not? Really?

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Speaker 1: Yeah at this point, No, not at this point, Catherine,

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Speaker 1: what's your last name? Johnson? Okay? Um, it's as funny

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Speaker 1: too as it goes on. The woman who's trying to

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Speaker 1: push the fake story then goes like, you know, can

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Speaker 1: we just cancel this? Like it's like this is not

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Speaker 1: a Columbia house get twelve CDs for a penny type

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Speaker 1: of here, We're like, hey, can I cancel this? Is

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Speaker 1: like you open Pandora's box, my lady. I mean they're

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Speaker 1: putting resources into like you know, your story, checking your story,

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Speaker 1: so it's not your right to be like never mind.

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Speaker 1: Which is odd because in his most desperate attempts to

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Speaker 1: show that the Washington Post is like a half ast

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Speaker 1: journalistic operation where they just they'll take hearsay and publish it,

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Speaker 1: he basically just proved that they're on their ship and

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Speaker 1: there's no way that you could come in there like

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Speaker 1: and not be completely fact checked and verified that like

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Speaker 1: what they're going to print has some kind of validity

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Speaker 1: to their news organizations. Right, they're not. They're not a

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Speaker 1: guy with a YouTube channel. I think if he had

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Speaker 1: just put that lady what was her name, Jamie Phillips

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Speaker 1: through just like one acting class, like just anything, like

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Speaker 1: maybe just a stand up class, she could have came

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Speaker 1: in there with so much more confidence because you could

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Speaker 1: hear it in her voice that she had never spoken

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Speaker 1: out loud, you know the internet. Like she was like yes,

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Speaker 1: like it was so quiet and gentle, was like she

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Speaker 1: was not ready to be on camera, ready to come

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Speaker 1: in there and like just give her like lies. And

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Speaker 1: then when the woman came at her with when the

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Speaker 1: actual journalist asked her to ask her details about her story. Yeah,

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Speaker 1: that who was the Yeah, the woman that you were hearing,

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Speaker 1: that's Stephanie mccrumman, who works who also helped work on

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Speaker 1: the Roy Moore piece. So I mean shout out to

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Speaker 1: Stephanie McCrummen too, because she if you watch the video,

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Speaker 1: she is so mad. She's like, you are wasting my time.

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Speaker 1: But also I'm so glad I'm looking at you because yeah,

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Speaker 1: and it's at the ending, it just like she's she

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Speaker 1: just like storms off by the end. It definitely has

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Speaker 1: the tone of the Brendan Dassi interviews from making The

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Speaker 1: cops are interviewing Brendan Dassy and he's like, I don't know,

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Speaker 1: I don't know, and the cops of this like so

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Speaker 1: excited to this, like please just say that he just

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Speaker 1: like grabbed her by the neck and killed her. And

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Speaker 1: he's like right and like and there're just like, so

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Speaker 1: you are trying to work with the conservative media movement

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Speaker 1: to bring down the liberal mainstream media. I don't know.

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Speaker 1: Can I go home and watch wrestle me? Yeah? Exactly exquickly,

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Speaker 1: but what she was trying to do, but this is

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Speaker 1: like a video will come out of this that will

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Speaker 1: be carefully edited by James O'Keefe to make it seem

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Speaker 1: like they actually caught the Washington Post doing something. I'm sure,

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Speaker 1: and then we'll get it'll go viral. He tried to

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Speaker 1: fundraise off this yesterday. I think he sent a letter

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Speaker 1: out saying, oh, you know, I was ambushed by Washington

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Speaker 1: Post reporters because they, like are one of our operatives.

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Speaker 1: Cover was blown. He's like, but it's fine because we

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Speaker 1: got our story on them coming soon, which will probably

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Speaker 1: pretty big. Nothing nothing, all right, We're gonna go to

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Speaker 1: a quick break and we'll be right back and we're back. Uh.

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Speaker 1: We also just wanted to brag on ourselves a little bit, uh,

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Speaker 1: the Matt Lower thing. One of our listeners pointed out

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Speaker 1: to us on social media that we had called the

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Speaker 1: Matt Lower thing a little while ago. We got a

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Speaker 1: clip of that. Yeah, so hopel we should let people know.

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Speaker 1: This is from October of EODE and this is validating

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Speaker 1: our thesis that if you pay attention to the tabloids.

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Speaker 1: We we do a weekly segment called the Bloyd Watch,

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Speaker 1: where we look at tabloids because the tabloids have caught

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Speaker 1: ship earlier than the mainstream media, and so that's what

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Speaker 1: we were discussing. We had Superproducer and Hosnier on and

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Speaker 1: we're talking about what's going down the Bloyd's. I found

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Speaker 1: a lot of stuff. Um one apparently Megan Kelly and

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Speaker 1: Matt Lower in a feud and one of them is

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Speaker 1: getting fired. Now, if I would put my money on,

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Speaker 1: I would probably make Do you think they would really

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Speaker 1: fire Matt Lower? Megan Kelly, Matt Lower has had a

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Speaker 1: very problematic career. Is he the next one? I don't know?

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Speaker 1: Is he the next to next Domino? Def all? God, damn,

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Speaker 1: you've been You've been geisted. Now. There's two respected institutions

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Speaker 1: that trusts have Daily Zitgeist and the Men in Black. Yeah,

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Speaker 1: that's where we come from. I trust both of them.

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Speaker 1: I just saw Men in Black three over the weekend.

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Speaker 1: I've that's one of my original underrated Men in Black

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Speaker 1: three together perfect popcorn deep cut for y'all. We do

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Speaker 1: want to check in with the world, Oh Trump, because

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Speaker 1: it's been a while. I don't think we've been talking

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Speaker 1: about Trump this week. It's been a while. So Trump

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Speaker 1: has had a sort of eventful morning just tweeting all

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Speaker 1: sorts of stuff. He responded to the lour allegations by

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Speaker 1: you know, mentioning them and then saying that the guy

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Speaker 1: who fired him has like skeletons in his closet and

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Speaker 1: then pivoting from that to accuse Joe Scarborough of murdering

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Speaker 1: his intern. Just just a wild swing. He's insane. He

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Speaker 1: is also retweeting videos by a right wing extremist leader

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Speaker 1: of the Written First Group, which is like an offshoot

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Speaker 1: of the British National Party. UM. But they're yeah, they're

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Speaker 1: extremists and they're tweeting. There's no extremists. They're straight up racist,

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Speaker 1: white supremacist fascists who only believe white people should be

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Speaker 1: living in the UK or Britain specifically, as they like

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Speaker 1: to say. UM. So they've tweeted a bunch of videos,

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Speaker 1: one of like, uh Muslim dude like breaking a statue

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Speaker 1: of the Virgin Mary, one of an isis attack that

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Speaker 1: killed a teenager, and another that they they called a

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Speaker 1: Islamic Uh immigrant attacks a Dutch kid who's on crutches,

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Speaker 1: which it turns out is actually just a Dutch kid

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Speaker 1: with brown hair attacking a Dutch kid with blonde hair,

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Speaker 1: and they're like, look at he's a he's an immigrant immigrant. Yeah,

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Speaker 1: look at the look at the immigrants. Um. But so

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Speaker 1: there there's this article that I've read a couple of

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Speaker 1: days ago that I can't get out of my head that,

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Speaker 1: um it's called the Nationalist Delusion. It's in the Atlantic,

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Speaker 1: and I highly recommend people give it a look. But

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Speaker 1: basically it puts the lie to the idea that people

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Speaker 1: who support Trump are supporting anything other than racism, or

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Speaker 1: or the idea that his election was about anything other

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Speaker 1: than racism, because I think the narrative that I had

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Speaker 1: heard in the aftermath of the election was that, uh,

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Speaker 1: it was downtrodden white people who had been like forgotten

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Speaker 1: in the middle of the country, and uh, you know

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Speaker 1: they were. There's a study that came out that like, uh,

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Speaker 1: deaths caused by despair, so like alcoholism, suicide, drug overdoses

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Speaker 1: were shooting up with this uh demographic of people, and

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Speaker 1: people were equating that with the election of Trump. UM.

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Speaker 1: And this article points out that actually, when you look

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Speaker 1: at voters who made less than fifty thousand dollars just overall,

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Speaker 1: Clinton won by a proportion of fifty three to forty

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Speaker 1: one percent. So Clinton actually destroyed Trump when it came

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Speaker 1: to the people in like lower income lower income brackets,

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Speaker 1: and Trump beat Clinton by one percent among people who

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Speaker 1: made more than fifty thousand dollars. Uh So, the most

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Speaker 1: economically vulnerable Americans voted for Clinton overwhelmingly, which is pretty

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Speaker 1: much the opposite of how it was portrayed in the

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Speaker 1: aftermath of the election. Um. But then if you just

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Speaker 1: look at white people, uh So, for white people who

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Speaker 1: made less than thirty thousand dollars, Trump won fifty seven

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Speaker 1: percent to thirty four percent, which is kind of what

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Speaker 1: you had heard. Uh. For white people who made between

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Speaker 1: thirty and fifty thousand dollars, he won fifty six to

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Speaker 1: thirty seven percent. Uh. Between fifty thousand dollars and a

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Speaker 1: hundred thousand dollars, he won sixty one percent to thirty

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Speaker 1: three percent. So that's like upper middle classes he won

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Speaker 1: by the highest margin. Uh. And then one hundred thousand

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Speaker 1: dollars to two hundred thousand dollars he won fifty six percent.

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Speaker 1: So it's like it's all the same. It's not just

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Speaker 1: lower income white people who voted for him. It's just

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Speaker 1: all white people voted for Trump, and it's it's just

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Speaker 1: pure racism. It's it's not the economic story that we've

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Speaker 1: all been telling us, all right, And I think that

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Speaker 1: economic story has been pushed so much because it's I

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Speaker 1: think it's hard for many people, especially coming out of

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Speaker 1: a post Obama era, that the country could actually be

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Speaker 1: that racist or there there are people who are voting

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Speaker 1: who really think like this and that's how they're voting,

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Speaker 1: because I think it's easier for people to be like, oh, well,

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Speaker 1: you know, she ignored the rust belt and these other

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Speaker 1: things and that's why it didn't work. And it purely

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Speaker 1: this like and as many people have been saying anyway

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Speaker 1: before even this Dady came out, was that this was

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Speaker 1: like sort of backlash because Obama was present for the

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Speaker 1: last eight years. Yeah, it's like the racist white people

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Speaker 1: felt humiliated by the existence of Obama. That's where like

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Speaker 1: the birther thing came from, is like, you know, well,

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Speaker 1: we can't have him actually have won the presidency legitimately,

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Speaker 1: so they made up this crazy conspiracy theory and you know,

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Speaker 1: Trump jumped on that because he, as a racist dude,

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Speaker 1: understood like how racist people felt and he was like that,

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Speaker 1: so like it's just like putting a lot of things

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Speaker 1: into place for me, Like and the in hindsight, like

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Speaker 1: the birther thing just seemed crazy to me from the start,

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Speaker 1: and so Trump being associated with it just seemed like, well,

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Speaker 1: that's an arbitrary celebrity being associated with an arbitrary, like

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Speaker 1: crazy conspiracy theory. It might as well have been like

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Speaker 1: that we didn't land on the moon or you know,

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Speaker 1: ship like that. But uh, it actually like all fits

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Speaker 1: into this broad framework of like how racist white people

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Speaker 1: felt about Obama being elected president, and you know, that

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Speaker 1: is primarily what Trump's election has then about. And so

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Speaker 1: it also like when he does these things like retweet racists,

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Speaker 1: you know, extremist right wing uh, you know, white supremacist

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Speaker 1: accounts like I think I had, my reaction had been like, okay, well,

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Speaker 1: like surely this now you know, like even in spite

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Speaker 1: of this, they're still following him, And it's like, no,

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Speaker 1: it's because of this that people are still following. And

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Speaker 1: I was thinking about this last night because I was

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Speaker 1: on Reddit, and I don't know, for some reason, I

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Speaker 1: went down a Reddit rabbit hole and there was one

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Speaker 1: of these like, you know, a m as for this

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Speaker 1: like nude model and she I'm sorry, okay, go on,

426
00:24:44,920 --> 00:24:47,000
Speaker 1: but but one of the questions was like and it

427
00:24:47,080 --> 00:24:50,520
Speaker 1: was like a very old, very old d A m A.

428
00:24:50,600 --> 00:24:51,840
Speaker 1: And I was like, what do you think of this

429
00:24:51,880 --> 00:24:54,119
Speaker 1: Trump guy running for president? And she was like, I

430
00:24:54,200 --> 00:24:57,000
Speaker 1: like him because you know, he just says it like

431
00:24:57,040 --> 00:24:59,920
Speaker 1: it is he And I remember hearing that a lot,

432
00:25:00,040 --> 00:25:02,240
Speaker 1: like I remember hearing that, and I really like started

433
00:25:02,240 --> 00:25:04,760
Speaker 1: thinking about like that idea of someone who says it

434
00:25:04,800 --> 00:25:06,959
Speaker 1: like it is who is It was like you voted

435
00:25:07,000 --> 00:25:09,840
Speaker 1: for someone who doesn't have restraint, like that was what

436
00:25:09,920 --> 00:25:13,960
Speaker 1: you thinked about? Is that the fact that they didn't think, oh,

437
00:25:14,000 --> 00:25:16,600
Speaker 1: there's a time and a place, let's not you know,

438
00:25:16,880 --> 00:25:18,920
Speaker 1: say this or let me say this in a way

439
00:25:19,040 --> 00:25:22,280
Speaker 1: that's digestible. You like him because he is just an

440
00:25:22,320 --> 00:25:24,720
Speaker 1: asshole all the time, and it it, I don't know,

441
00:25:24,800 --> 00:25:28,000
Speaker 1: it just says a lot about the people who still

442
00:25:28,040 --> 00:25:31,000
Speaker 1: support him. It's like, oh, you think it's like you

443
00:25:31,040 --> 00:25:34,000
Speaker 1: are one of those like anti PC people and you

444
00:25:34,040 --> 00:25:37,959
Speaker 1: think America's to PC and nine times that tendants because

445
00:25:38,119 --> 00:25:41,359
Speaker 1: you're a white person who doesn't have like a frame

446
00:25:41,400 --> 00:25:44,720
Speaker 1: of reference of like something being hurtful to you, Like

447
00:25:44,920 --> 00:25:47,200
Speaker 1: the most hurtful thing to you now is being racist

448
00:25:47,240 --> 00:25:49,879
Speaker 1: and you think it's just a made up claim you know,

449
00:25:50,000 --> 00:25:52,520
Speaker 1: like like that's the thing is, like you can't even

450
00:25:52,680 --> 00:25:55,879
Speaker 1: legitimately call anyone racist because they're just looking at it

451
00:25:55,880 --> 00:25:57,480
Speaker 1: as like, oh, you're just calling me. I was like, no,

452
00:25:57,560 --> 00:26:00,439
Speaker 1: I'm saying you're racist, and you should stop, like like

453
00:26:00,520 --> 00:26:03,000
Speaker 1: that's your option, that's stopping. Yeah, And I think you

454
00:26:03,000 --> 00:26:06,000
Speaker 1: can tell too that his like you said, these tweets,

455
00:26:06,000 --> 00:26:08,080
Speaker 1: and like the way he comes after people of color,

456
00:26:08,160 --> 00:26:10,680
Speaker 1: like you can. We can rattle off all the people

457
00:26:10,680 --> 00:26:13,080
Speaker 1: of color that he's come at for being critical of him,

458
00:26:13,280 --> 00:26:15,679
Speaker 1: and like when it seems like if you're a white person,

459
00:26:15,960 --> 00:26:18,360
Speaker 1: you have to also be powerful for him to come

460
00:26:18,359 --> 00:26:21,880
Speaker 1: into his crosshairs where people like even LaVar Ball get

461
00:26:21,920 --> 00:26:24,240
Speaker 1: your attention. And when you look even at his tweets

462
00:26:24,280 --> 00:26:27,280
Speaker 1: right where he's coming after LaVar Ball, the likes not

463
00:26:27,320 --> 00:26:29,640
Speaker 1: even like the retweets, the likes on those tweets where

464
00:26:29,640 --> 00:26:32,720
Speaker 1: he's coming after the NFL or the people of color

465
00:26:32,800 --> 00:26:35,200
Speaker 1: obviously like the NFL is that you know, you could

466
00:26:35,200 --> 00:26:36,920
Speaker 1: switch that for black people and they're not even being

467
00:26:36,920 --> 00:26:40,240
Speaker 1: critical of him, but they're just not being like deferential

468
00:26:40,480 --> 00:26:44,159
Speaker 1: and like what he considers like respectful, like you know,

469
00:26:44,200 --> 00:26:46,679
Speaker 1: but these tweets that are put these people in the crosshairs.

470
00:26:46,840 --> 00:26:49,560
Speaker 1: They get more likes than most of his other tweets

471
00:26:49,560 --> 00:26:51,320
Speaker 1: when it's just stuff about like oh I did a

472
00:26:51,359 --> 00:26:53,639
Speaker 1: great thing at Mara Lago. It's like, okay, it's around

473
00:26:53,640 --> 00:26:55,840
Speaker 1: a certain amount of thousands of legs. But then it's

474
00:26:55,880 --> 00:26:58,119
Speaker 1: like LaVar Ball needs to be grateful, blah blah blah.

475
00:26:58,160 --> 00:27:01,200
Speaker 1: Oh everybody's liking that ship and that that should really

476
00:27:01,240 --> 00:27:03,400
Speaker 1: show you, Like it's one thing. A lot of people

477
00:27:03,400 --> 00:27:05,800
Speaker 1: will retweet the ship that he does because it's so crazy,

478
00:27:06,000 --> 00:27:08,359
Speaker 1: but the likes really tell you that people who are

479
00:27:08,400 --> 00:27:11,000
Speaker 1: engaging with it, that's how they're engaging with Like yes,

480
00:27:11,320 --> 00:27:13,879
Speaker 1: I like, please tell this person of color or this

481
00:27:14,080 --> 00:27:17,119
Speaker 1: organization like to to back down or sit down or whatever.

482
00:27:17,440 --> 00:27:20,440
Speaker 1: I've always looked at it as like, you know, white

483
00:27:20,440 --> 00:27:24,080
Speaker 1: people have a sense of like ownership of your success,

484
00:27:24,119 --> 00:27:26,760
Speaker 1: where it's like you shouldn't make me feel lesser than

485
00:27:26,880 --> 00:27:29,760
Speaker 1: you if you have more money than me, because you know,

486
00:27:29,920 --> 00:27:32,840
Speaker 1: because I'm somehow allowing you to do this, Like you

487
00:27:32,880 --> 00:27:35,080
Speaker 1: should be respectful. It's like, why do I have to

488
00:27:35,119 --> 00:27:38,480
Speaker 1: be respectful to this racist in Kentucky? Like what reason

489
00:27:38,560 --> 00:27:40,480
Speaker 1: do I have to be modest for you? Like Why

490
00:27:40,520 --> 00:27:42,760
Speaker 1: why should I not speak my mind? What have you

491
00:27:42,920 --> 00:27:46,360
Speaker 1: done for me? Kumail nan Gianni like tweeted something about

492
00:27:46,400 --> 00:27:48,320
Speaker 1: that too. It's like just something that really rubbed him

493
00:27:48,320 --> 00:27:50,680
Speaker 1: the wrong way. Was this idea that many people need

494
00:27:50,720 --> 00:27:53,359
Speaker 1: to be grateful for their success or that they were

495
00:27:53,400 --> 00:27:57,320
Speaker 1: somehow allowed to be to experience success. Yeah, and that, Yeah,

496
00:27:57,400 --> 00:28:00,240
Speaker 1: that's just that. That's just a thing that I, like

497
00:28:00,320 --> 00:28:02,600
Speaker 1: you you wrestle with, Like I was thinking about it

498
00:28:02,640 --> 00:28:04,880
Speaker 1: because I never is so funny and a weird thing.

499
00:28:05,119 --> 00:28:08,040
Speaker 1: Not until Kaepernick started kind of coming out, I never

500
00:28:08,080 --> 00:28:11,879
Speaker 1: considered him being a black guy. And the dynamic that

501
00:28:12,000 --> 00:28:15,960
Speaker 1: is where it's like quarterbacks are typically white, and quarterback

502
00:28:16,119 --> 00:28:18,320
Speaker 1: is like your safest position. You have less likely to

503
00:28:18,359 --> 00:28:20,879
Speaker 1: have CT because you're not taking that as many hits

504
00:28:21,560 --> 00:28:24,280
Speaker 1: and I and then I went once I kind of

505
00:28:24,720 --> 00:28:27,920
Speaker 1: finally realized that Kaepernick was one of the few black

506
00:28:28,000 --> 00:28:31,560
Speaker 1: quarterbacks at to wonder, I was like, if Kapernick was Kaepernick,

507
00:28:31,720 --> 00:28:34,439
Speaker 1: but he was any other position, would you've gotten that

508
00:28:34,520 --> 00:28:37,400
Speaker 1: much flak? Or is it even more Is it even

509
00:28:37,440 --> 00:28:40,520
Speaker 1: more heavy that no one people already have an excuse

510
00:28:40,560 --> 00:28:44,160
Speaker 1: to keep another black person out the quarterback position? Oh? Yeah,

511
00:28:44,160 --> 00:28:46,280
Speaker 1: We talked about that a lot here. Yeah, that's that

512
00:28:46,400 --> 00:28:51,880
Speaker 1: specific theory because I mean the black quarterback is much

513
00:28:52,480 --> 00:28:56,960
Speaker 1: like more controversial and like despised like figure in American

514
00:28:56,960 --> 00:28:59,560
Speaker 1: culture than people realized, to the point that we we've

515
00:28:59,560 --> 00:29:01,920
Speaker 1: talked about one on the show that Warren Moon has

516
00:29:01,960 --> 00:29:06,200
Speaker 1: a like support group for black NFL quarterbacks, like which

517
00:29:06,440 --> 00:29:09,120
Speaker 1: you know, you would think, well, these guys are millionaires,

518
00:29:09,120 --> 00:29:10,720
Speaker 1: Like why would they need a support group. They could

519
00:29:10,720 --> 00:29:13,320
Speaker 1: afford all the therapy they need. But like, unless you're

520
00:29:13,520 --> 00:29:17,360
Speaker 1: a black NFL quarterback, you don't understand how much hatred

521
00:29:17,840 --> 00:29:21,480
Speaker 1: is out there. Yeah, I think, I absolutely think that

522
00:29:22,040 --> 00:29:25,440
Speaker 1: the whole Kaepernick thing and the NFL players kneeling, it's

523
00:29:25,480 --> 00:29:29,360
Speaker 1: at least partially got started because people do not want

524
00:29:29,440 --> 00:29:34,160
Speaker 1: to see a black man play quarterback. The Yeah, and

525
00:29:34,160 --> 00:29:38,640
Speaker 1: and it is also like that that's a interesting story

526
00:29:38,680 --> 00:29:42,880
Speaker 1: because that's another one where I think white people don't

527
00:29:42,960 --> 00:29:47,160
Speaker 1: want to believe that they're mad about what they're really

528
00:29:47,160 --> 00:29:50,160
Speaker 1: mad about, and so you know, they say it's about

529
00:29:50,160 --> 00:29:53,120
Speaker 1: the troops, they're not respecting the troops, or when Trump

530
00:29:53,160 --> 00:29:56,600
Speaker 1: got elected, it was about you know, uh, people in

531
00:29:56,720 --> 00:30:01,280
Speaker 1: rural areas not getting their fair shot. Um, and in fact,

532
00:30:01,440 --> 00:30:05,560
Speaker 1: another statistic from this Atlantic article, The Nationalist Delusion, talks

533
00:30:05,600 --> 00:30:09,320
Speaker 1: about how um, in the aftermath of the financial recession,

534
00:30:09,840 --> 00:30:15,080
Speaker 1: poor white people's uh, you know downward spiral stopped and

535
00:30:15,240 --> 00:30:18,560
Speaker 1: like started going into recovery, but people of color and

536
00:30:18,840 --> 00:30:21,720
Speaker 1: you know, non white people who were in that economic

537
00:30:21,760 --> 00:30:26,960
Speaker 1: bracket kept going down. So like, but it's seen it,

538
00:30:27,400 --> 00:30:28,920
Speaker 1: I don't know that that just kind of puts the

539
00:30:29,000 --> 00:30:32,840
Speaker 1: light of the idea that they are specifically, you know,

540
00:30:33,080 --> 00:30:36,320
Speaker 1: being targeted by the by the modern economy in anyway.

541
00:30:36,400 --> 00:30:38,400
Speaker 1: And I mean this article also talks about a Civil

542
00:30:38,480 --> 00:30:42,440
Speaker 1: War general who like, prior to the Civil War was like,

543
00:30:42,920 --> 00:30:46,480
Speaker 1: you know, specifically talking about white supremacy and why this

544
00:30:46,520 --> 00:30:48,600
Speaker 1: is the war of white supremacy, but after the Civil

545
00:30:48,640 --> 00:30:51,479
Speaker 1: War was like, I would never say it's about it

546
00:30:51,520 --> 00:30:54,680
Speaker 1: was just about states rights. And it's like there's a history,

547
00:30:55,480 --> 00:30:58,360
Speaker 1: there's this long history of cognitive dissonance where you know,

548
00:30:58,760 --> 00:31:03,280
Speaker 1: white Americans and make a thing about you know, and yeah,

549
00:31:03,400 --> 00:31:07,360
Speaker 1: make a thing not about racism when it's absolutely about racism,

550
00:31:07,480 --> 00:31:09,520
Speaker 1: and they're just not willing to admit it to themselves.

551
00:31:09,520 --> 00:31:11,880
Speaker 1: So the one time this phrase works, but let's just

552
00:31:11,880 --> 00:31:14,320
Speaker 1: call a spade a space. Well, I feel like that's

553
00:31:14,320 --> 00:31:17,840
Speaker 1: how they get there, kind of, for lack of better term,

554
00:31:18,320 --> 00:31:21,560
Speaker 1: dumber followers on board, because I feel like there there's

555
00:31:21,680 --> 00:31:25,800
Speaker 1: some followers who kind of if if pressed was like, yo,

556
00:31:26,800 --> 00:31:30,360
Speaker 1: you support police, They're like no, no, no, no. But

557
00:31:30,760 --> 00:31:33,480
Speaker 1: when you can flip the narrative for those people who

558
00:31:33,720 --> 00:31:37,040
Speaker 1: would not support police brutality and be like, no, it's

559
00:31:37,080 --> 00:31:40,320
Speaker 1: about the troops, they're like yeah, yeah, no. Like I

560
00:31:40,360 --> 00:31:43,840
Speaker 1: feel like there's a level of like washing the guilt

561
00:31:43,920 --> 00:31:47,320
Speaker 1: away from like, you know, ignoring racism yet again, where

562
00:31:47,320 --> 00:31:49,080
Speaker 1: it's like, no, we have to fight for these troops,

563
00:31:49,240 --> 00:31:53,080
Speaker 1: but you're supporting a party that specifically fox over the troops,

564
00:31:53,120 --> 00:31:55,600
Speaker 1: like you everything they do, they take funding from the

565
00:31:55,680 --> 00:32:00,280
Speaker 1: v A. There's all this military budget that goes towards

566
00:32:00,600 --> 00:32:02,920
Speaker 1: the none of the veterans, you know, and to the

567
00:32:02,960 --> 00:32:06,719
Speaker 1: companies that make they the weapons, the equipment, but no

568
00:32:06,760 --> 00:32:10,200
Speaker 1: one thinks about that. Like that's where you're like, I

569
00:32:10,240 --> 00:32:13,080
Speaker 1: feel like people only care for the troops when they

570
00:32:13,080 --> 00:32:17,400
Speaker 1: want to negate uh people defense. It's the same thing

571
00:32:17,440 --> 00:32:19,840
Speaker 1: with All Lives Matter, where like there's all lives matter?

572
00:32:19,920 --> 00:32:21,920
Speaker 1: What about all lives? And then like a white person

573
00:32:22,040 --> 00:32:25,160
Speaker 1: is killed by the police and it's silent, like and

574
00:32:25,160 --> 00:32:28,240
Speaker 1: then you have Black Lives Matter carrying that torch and

575
00:32:28,280 --> 00:32:30,280
Speaker 1: being like all right, here we go. No, this is

576
00:32:30,320 --> 00:32:33,240
Speaker 1: wrong too. Where's all lives matter? And then they still

577
00:32:33,280 --> 00:32:35,480
Speaker 1: want to try and make the argument of like because

578
00:32:35,480 --> 00:32:37,560
Speaker 1: black like, what are you talking about at this point,

579
00:32:37,640 --> 00:32:40,880
Speaker 1: Black Lives Matter has not supported way more than Black

580
00:32:40,920 --> 00:32:44,400
Speaker 1: lives and you've done nothing, like you've you've supported no one,

581
00:32:44,560 --> 00:32:47,040
Speaker 1: So you don't get to say anything, but they'll they'll

582
00:32:47,040 --> 00:32:49,959
Speaker 1: still hop on Twitter talking shit. And I think this

583
00:32:50,040 --> 00:32:54,800
Speaker 1: is actually becoming specifically what whether it's openly acknowledged or

584
00:32:54,840 --> 00:32:58,520
Speaker 1: not behind the scenes. I think that like we're we're

585
00:32:58,560 --> 00:33:02,120
Speaker 1: seeing a tax cut that is going through the House

586
00:33:02,200 --> 00:33:05,240
Speaker 1: and the Senate right now that is the most openly

587
00:33:05,640 --> 00:33:08,880
Speaker 1: just like targeted to the very very wealthy, Like they're

588
00:33:09,320 --> 00:33:14,880
Speaker 1: taking taxes away from like billionaires, like inheriting money from

589
00:33:15,000 --> 00:33:18,160
Speaker 1: their parents and putting it on like the middle class

590
00:33:18,160 --> 00:33:21,400
Speaker 1: and upper middle class people. Uh. And I think they

591
00:33:21,560 --> 00:33:23,760
Speaker 1: know that they can do that now because they know

592
00:33:23,880 --> 00:33:26,840
Speaker 1: that thirty something percent of the population, the boat of

593
00:33:26,880 --> 00:33:29,720
Speaker 1: for Trump are just not going anywhere. So it's like

594
00:33:30,120 --> 00:33:32,800
Speaker 1: they're like, well, all they care about is that he

595
00:33:33,000 --> 00:33:38,000
Speaker 1: is acknowledging and you know, uh, normalizing their viewpoint and

596
00:33:38,040 --> 00:33:41,000
Speaker 1: like making them feel okay about being like, you know,

597
00:33:41,240 --> 00:33:45,880
Speaker 1: having these fears and this like rage, so they're not

598
00:33:45,920 --> 00:33:47,880
Speaker 1: going anywhere, so we can just take care of our

599
00:33:47,920 --> 00:33:51,040
Speaker 1: donors now, and then we also have this so they're

600
00:33:51,080 --> 00:33:53,280
Speaker 1: like kind of it's like a two tiered approach that

601
00:33:53,360 --> 00:33:56,800
Speaker 1: I feel like can't be accidental. They just like know

602
00:33:57,000 --> 00:33:59,080
Speaker 1: now that they can just take care of the very

603
00:33:59,160 --> 00:34:01,600
Speaker 1: richest people who support them when I think some some

604
00:34:01,640 --> 00:34:05,360
Speaker 1: supporters probably mistake their race as being a class and

605
00:34:05,400 --> 00:34:08,080
Speaker 1: they don't realize that when push comes to shove and

606
00:34:08,120 --> 00:34:10,600
Speaker 1: all these it's time to pay the tax man and

607
00:34:10,719 --> 00:34:13,560
Speaker 1: coming like the next decade, people under who are making

608
00:34:13,600 --> 00:34:16,800
Speaker 1: under are going to get crushed and they're gonna have

609
00:34:16,800 --> 00:34:19,200
Speaker 1: to pay so much because they're taking like away Medicaid

610
00:34:19,200 --> 00:34:22,640
Speaker 1: funny and things like that. So you know, people also

611
00:34:22,680 --> 00:34:25,600
Speaker 1: need to be very aware that, you know, taxes will

612
00:34:25,640 --> 00:34:28,640
Speaker 1: touch you at any level, like unless you're super rich.

613
00:34:28,920 --> 00:34:32,880
Speaker 1: So ian and I feel like this the the silver

614
00:34:32,960 --> 00:34:35,279
Speaker 1: lining in this for me is that I feel like

615
00:34:35,320 --> 00:34:38,320
Speaker 1: people of color are so used to struggle, like they'll

616
00:34:38,360 --> 00:34:40,640
Speaker 1: make it like it'll it'll suck, but they'll make it.

617
00:34:41,040 --> 00:34:45,200
Speaker 1: But these like poor white people who like just already

618
00:34:45,200 --> 00:34:47,759
Speaker 1: in their position, are feeling like the world's against them,

619
00:34:47,840 --> 00:34:51,680
Speaker 1: they're just gonna be completely destroyed. Like well, yeah, I

620
00:34:51,719 --> 00:34:53,640
Speaker 1: mean I think they're there are white people who are

621
00:34:53,680 --> 00:34:55,200
Speaker 1: just as poor as black people, but yeah, I think

622
00:34:55,200 --> 00:34:57,320
Speaker 1: they're people that are like on the cusp of maybe

623
00:34:57,320 --> 00:34:59,920
Speaker 1: being like lower middle class or something that will come

624
00:35:00,000 --> 00:35:01,959
Speaker 1: really follow. Now. I feel like there are white people

625
00:35:01,960 --> 00:35:04,279
Speaker 1: who are just as poor as black people, but their

626
00:35:04,320 --> 00:35:07,279
Speaker 1: perception of their poverty is way different. I feel like

627
00:35:07,320 --> 00:35:09,920
Speaker 1: being poor and black your world is way different than

628
00:35:10,000 --> 00:35:13,040
Speaker 1: being poor and why. And it's because there's this modicum

629
00:35:13,120 --> 00:35:16,480
Speaker 1: of hope because every everything you're ingesting in media and

630
00:35:16,520 --> 00:35:18,520
Speaker 1: everything is telling you like, don't worry, you can make it.

631
00:35:18,680 --> 00:35:20,880
Speaker 1: Your ships out here for you. Black people have to

632
00:35:20,920 --> 00:35:22,920
Speaker 1: be told they can do ship. Black people had to

633
00:35:22,960 --> 00:35:27,120
Speaker 1: like wait till Obama came around to believe there were, uh,

634
00:35:27,320 --> 00:35:29,759
Speaker 1: they could be president. So black people when they're poor,

635
00:35:30,040 --> 00:35:31,960
Speaker 1: they're like, this is my life. This is what it's

636
00:35:32,000 --> 00:35:34,399
Speaker 1: going to be. And even though that shitty on the

637
00:35:34,400 --> 00:35:38,279
Speaker 1: flip side, they're not as kind of wrecked as like

638
00:35:38,920 --> 00:35:43,479
Speaker 1: as being in that position sort of a resignation into

639
00:35:43,520 --> 00:35:46,960
Speaker 1: the accepting this is just a lot whereas like now,

640
00:35:47,040 --> 00:35:52,040
Speaker 1: as even with when we saw in the during the recession,

641
00:35:52,120 --> 00:35:55,880
Speaker 1: like you know, the suicide rates and depression rates and

642
00:35:55,920 --> 00:35:58,640
Speaker 1: white people went up, like the concept of failing when

643
00:35:58,680 --> 00:36:02,440
Speaker 1: you were told the world is yours rex that the psyche.

644
00:36:02,760 --> 00:36:04,360
Speaker 1: So that's that's so that's what I mean when I

645
00:36:04,400 --> 00:36:07,080
Speaker 1: say that, Like if this were to happen and it

646
00:36:07,120 --> 00:36:11,000
Speaker 1: goes down, like you know, black people have that unfortunate

647
00:36:11,080 --> 00:36:14,680
Speaker 1: idea of like, well this is life. Life is struggle.

648
00:36:14,800 --> 00:36:16,520
Speaker 1: Like it's even in the religion, like you go to

649
00:36:16,560 --> 00:36:20,040
Speaker 1: a Baptist church, like one of the kind of themes

650
00:36:20,120 --> 00:36:22,600
Speaker 1: is like you know, God loves you because he's testing

651
00:36:22,600 --> 00:36:27,000
Speaker 1: you by putting you tribulations. So that's that's what I

652
00:36:27,000 --> 00:36:29,759
Speaker 1: mean when I say ship like that. Yeah, well you know,

653
00:36:29,800 --> 00:36:32,920
Speaker 1: I hope you can eat those maga hats. All right,

654
00:36:32,960 --> 00:36:35,000
Speaker 1: we're gonna take a quick break and we'll be right

655
00:36:35,000 --> 00:36:48,640
Speaker 1: back and we're back. Um. So speaking of none of that, Uh,

656
00:36:48,680 --> 00:36:51,600
Speaker 1: you know, there's so much news. We wanted to take

657
00:36:51,600 --> 00:36:53,040
Speaker 1: a step back and just kind of look at the

658
00:36:53,520 --> 00:36:58,120
Speaker 1: fabric of our sort of existence in the in the

659
00:36:58,160 --> 00:37:03,359
Speaker 1: modern media environment, and you know, Facebook is one of

660
00:37:03,480 --> 00:37:09,160
Speaker 1: the main ways that we experience reality these days. I

661
00:37:09,160 --> 00:37:12,239
Speaker 1: mean that's never been the case for me, because you know,

662
00:37:12,320 --> 00:37:15,200
Speaker 1: I was I was running cracked when Facebook became a thing,

663
00:37:15,239 --> 00:37:17,279
Speaker 1: and so Facebook was always just worked for me. It

664
00:37:17,360 --> 00:37:21,000
Speaker 1: was just like how we distributed our content. But by

665
00:37:21,040 --> 00:37:24,279
Speaker 1: the end of running cracked, Uh, you know, Facebook was

666
00:37:24,480 --> 00:37:27,040
Speaker 1: the way that we distributed our content. It was just

667
00:37:27,120 --> 00:37:30,920
Speaker 1: like that, we got more traffic from Facebook than you know,

668
00:37:31,040 --> 00:37:35,239
Speaker 1: anywhere else. It was like that's how people existed. And

669
00:37:35,560 --> 00:37:38,120
Speaker 1: I've read a profile of the two thousand sixteen election

670
00:37:38,520 --> 00:37:44,040
Speaker 1: that just explains, you know, how negligent Facebook was and

671
00:37:44,640 --> 00:37:50,840
Speaker 1: just how incredibly powerful the you know structure of Facebook

672
00:37:50,840 --> 00:37:53,959
Speaker 1: being able to like put everybody in their own sort

673
00:37:54,000 --> 00:37:59,200
Speaker 1: of curated algorithmically curated, not like hand curated. Uh you

674
00:37:59,200 --> 00:38:03,640
Speaker 1: know media above well just made it possible for you know,

675
00:38:03,800 --> 00:38:08,040
Speaker 1: the this election to happen, and uh, for you know,

676
00:38:08,080 --> 00:38:11,120
Speaker 1: the country to grow further and further apart until where

677
00:38:11,160 --> 00:38:15,480
Speaker 1: we are where we are. Um. So, you know, people

678
00:38:15,680 --> 00:38:19,839
Speaker 1: have been talking a lot about how to fix this,

679
00:38:19,960 --> 00:38:22,640
Speaker 1: like how how do we address this because Facebook is

680
00:38:23,320 --> 00:38:28,520
Speaker 1: at this point probably the most powerful entity maybe on Earth,

681
00:38:28,800 --> 00:38:32,120
Speaker 1: on Earth, maybe in the history of Earth. I don't know,

682
00:38:32,200 --> 00:38:36,440
Speaker 1: it's they determined so much, and I mean we so

683
00:38:36,520 --> 00:38:39,799
Speaker 1: we had our writer Sam Rabman take a kind of

684
00:38:39,840 --> 00:38:42,200
Speaker 1: deep dive into this, and he brought out some really

685
00:38:42,200 --> 00:38:45,759
Speaker 1: good points from uh, you know, other journalists. But he was,

686
00:38:45,960 --> 00:38:48,279
Speaker 1: you know, saying, it's inseparable from our lives. And at

687
00:38:48,280 --> 00:38:52,359
Speaker 1: this point, it's kind of insane to have the control

688
00:38:52,840 --> 00:38:57,200
Speaker 1: over something that is basically how people experience their lives,

689
00:38:57,480 --> 00:38:59,960
Speaker 1: like all around the world. Even though like even though

690
00:39:00,000 --> 00:39:01,719
Speaker 1: a lot of young people and probably a lot of

691
00:39:01,760 --> 00:39:04,560
Speaker 1: our listeners maybe have are like, oh, Facebook's old, and

692
00:39:04,600 --> 00:39:06,840
Speaker 1: like we we don't pay attend, we don't use Facebook anymore.

693
00:39:06,880 --> 00:39:10,160
Speaker 1: We use Instagram. Like on a global scale, Facebook is

694
00:39:10,200 --> 00:39:14,000
Speaker 1: how people experience the world, and it is being controlled

695
00:39:14,080 --> 00:39:17,799
Speaker 1: by a guy who developed it out of an app

696
00:39:17,840 --> 00:39:20,720
Speaker 1: to rate how hot girls were his freshman year at Harvard.

697
00:39:20,800 --> 00:39:25,560
Speaker 1: Like that he just you know, it's he He's obviously

698
00:39:25,680 --> 00:39:29,160
Speaker 1: very bright and knows how to you know, do programming

699
00:39:29,200 --> 00:39:32,919
Speaker 1: and ship like that, but like he also is now

700
00:39:33,040 --> 00:39:35,680
Speaker 1: one of the most powerful people in the history of

701
00:39:35,719 --> 00:39:38,560
Speaker 1: the world, and you know, his skill set does not

702
00:39:38,719 --> 00:39:41,919
Speaker 1: in any way prepare him to do that. Yeah, because

703
00:39:41,920 --> 00:39:43,520
Speaker 1: again it was like a way to connect, to get

704
00:39:43,560 --> 00:39:45,480
Speaker 1: a way to get familiar, and that at first that

705
00:39:45,560 --> 00:39:47,560
Speaker 1: was like the golden era. I feel like a Facebook

706
00:39:47,600 --> 00:39:50,000
Speaker 1: was like, Wow, I found people from my old elementary

707
00:39:50,000 --> 00:39:52,680
Speaker 1: school that live across the country now. And yeah, over time,

708
00:39:52,760 --> 00:39:54,600
Speaker 1: like not even the guy who wanted to just make

709
00:39:54,680 --> 00:39:57,680
Speaker 1: his creepy app from his dorm room could have realized

710
00:39:57,680 --> 00:40:01,600
Speaker 1: that we have now really grown not like dependent on

711
00:40:01,640 --> 00:40:03,480
Speaker 1: it in some ways, dependent on it at least to

712
00:40:03,520 --> 00:40:06,759
Speaker 1: communicate in some ways. But it again, yeah, it's much

713
00:40:06,800 --> 00:40:08,920
Speaker 1: bigger than I think even he could have imagined at

714
00:40:09,000 --> 00:40:11,040
Speaker 1: this point. And now we're in that place where like

715
00:40:11,400 --> 00:40:13,120
Speaker 1: what what what what do we do? Oh? Yeah, it's

716
00:40:13,120 --> 00:40:15,120
Speaker 1: getting to the level of have you guys read that

717
00:40:15,160 --> 00:40:17,239
Speaker 1: Ready Player one book that's been made into a movie.

718
00:40:17,320 --> 00:40:19,200
Speaker 1: I haven't read it, but it's all about how like,

719
00:40:19,520 --> 00:40:23,040
Speaker 1: eventually there will be this thing that's like it's your Facebook,

720
00:40:23,360 --> 00:40:25,239
Speaker 1: it's your it's the way you sign up, it's the

721
00:40:25,280 --> 00:40:27,560
Speaker 1: way you vote, it's the way it's like everything, and

722
00:40:27,600 --> 00:40:30,399
Speaker 1: it's an online portal, but it's also VR. And now

723
00:40:30,440 --> 00:40:33,200
Speaker 1: that Facebook owns like Oculus, it's going to turn into

724
00:40:33,200 --> 00:40:34,960
Speaker 1: that where it's just like you you fucking put on

725
00:40:35,000 --> 00:40:37,800
Speaker 1: your oculus and then you're in Facebook land and you

726
00:40:37,920 --> 00:40:40,719
Speaker 1: just you do everything there. You send letters, you do

727
00:40:40,800 --> 00:40:43,120
Speaker 1: your email like and that's it's getting to that point. Yeah.

728
00:40:43,120 --> 00:40:45,320
Speaker 1: Well especially too because now like they're even developing stuff

729
00:40:45,320 --> 00:40:48,080
Speaker 1: for like when disasters happen, like it can immediately like

730
00:40:48,120 --> 00:40:50,959
Speaker 1: just sort of connect people in those areas, like yeah,

731
00:40:51,520 --> 00:40:55,399
Speaker 1: there's infrastructure there that we do depend on. And I mean,

732
00:40:55,600 --> 00:40:58,600
Speaker 1: I think what we've seen at this point, from from

733
00:40:58,640 --> 00:41:01,440
Speaker 1: the last year at least, is that we cannot count

734
00:41:01,520 --> 00:41:05,759
Speaker 1: on these companies to change on their own. I think

735
00:41:05,800 --> 00:41:10,879
Speaker 1: that was the idea before is we took naively. We

736
00:41:10,880 --> 00:41:14,400
Speaker 1: were naive as fun, but we took like Google being like, oh,

737
00:41:14,400 --> 00:41:17,839
Speaker 1: our our philosophy is do no evil, and we were

738
00:41:17,880 --> 00:41:20,480
Speaker 1: like cool Google, Cool guys, we can just like not

739
00:41:20,520 --> 00:41:23,520
Speaker 1: pay attention. Google is going to be cool from now on. Uh,

740
00:41:23,560 --> 00:41:26,359
Speaker 1: And that that's just not the case. Like they are

741
00:41:26,800 --> 00:41:30,840
Speaker 1: companies who have one legal obligation, and it is to

742
00:41:31,000 --> 00:41:34,640
Speaker 1: make as much money as possible for their shareholders. That

743
00:41:34,800 --> 00:41:38,520
Speaker 1: is their only legal obligation, and to make any decision

744
00:41:39,040 --> 00:41:42,399
Speaker 1: that is contrary to that is actually like illegal they're

745
00:41:42,440 --> 00:41:46,200
Speaker 1: not allowed to do that. So all they're doing is

746
00:41:46,320 --> 00:41:50,200
Speaker 1: trying to create something that is going to draw users

747
00:41:50,239 --> 00:41:56,120
Speaker 1: in and make users, you know, give their advertisers money. Essentially,

748
00:41:56,160 --> 00:42:01,080
Speaker 1: they're not in it to you know, help the democratic process.

749
00:42:01,200 --> 00:42:05,400
Speaker 1: Mark Zuckerberg got so deep into claiming that like he

750
00:42:05,600 --> 00:42:09,439
Speaker 1: had the nation's best interest at heart. In the last

751
00:42:09,520 --> 00:42:11,680
Speaker 1: year that people thought he was going to run for president,

752
00:42:12,080 --> 00:42:14,440
Speaker 1: it was like, yo, that would be a step down

753
00:42:14,560 --> 00:42:17,400
Speaker 1: for him in terms of power if he, like, you know,

754
00:42:18,040 --> 00:42:20,960
Speaker 1: to step down from Facebook to to become president, because

755
00:42:21,040 --> 00:42:23,279
Speaker 1: right now he's world God. Right. Have you seen this

756
00:42:23,320 --> 00:42:25,880
Speaker 1: new tool that Facebook's can offer where it will allow

757
00:42:25,920 --> 00:42:28,640
Speaker 1: you to see if you got duped by fake Russian accounts? No,

758
00:42:29,120 --> 00:42:32,000
Speaker 1: that's great, it says a Facebook says, creating an online

759
00:42:32,040 --> 00:42:33,880
Speaker 1: tool that will show you if you liked or followed

760
00:42:33,880 --> 00:42:38,120
Speaker 1: fake Russian accounts spreading disinformation during the presidential election on

761
00:42:38,160 --> 00:42:40,480
Speaker 1: Facebook or Instagram. Do you think many people will use

762
00:42:40,480 --> 00:42:42,680
Speaker 1: that though, because everybody like, now, I wasn't stupid enough

763
00:42:42,719 --> 00:42:45,320
Speaker 1: to get I don't think. I don't think so. I

764
00:42:45,360 --> 00:42:47,279
Speaker 1: think it's just ways for like facebooks, just trying to

765
00:42:47,320 --> 00:42:52,399
Speaker 1: be transparent kind of. But yeah, but it had been opened. Yeah, right,

766
00:42:52,440 --> 00:42:56,440
Speaker 1: And when we talk about the ways that Facebook is

767
00:42:56,440 --> 00:43:01,279
Speaker 1: affecting people's lives and you know, perceptions of reality, uh

768
00:43:01,320 --> 00:43:04,759
Speaker 1: and problems with that, it's actually not like a single thing,

769
00:43:04,880 --> 00:43:08,040
Speaker 1: you know, Like when I hear, you know, problem with Facebook,

770
00:43:08,040 --> 00:43:10,200
Speaker 1: I immediately go to Russian bots and ship like that.

771
00:43:10,280 --> 00:43:15,480
Speaker 1: But there's so many different ways that Facebook can be manipulated.

772
00:43:15,880 --> 00:43:18,960
Speaker 1: Like they're advertising. I think it was pro Publica just

773
00:43:19,320 --> 00:43:22,600
Speaker 1: like bought real estate ads that were like exclude people

774
00:43:22,640 --> 00:43:25,560
Speaker 1: of color or based on race or ethnic like, yeah,

775
00:43:25,600 --> 00:43:27,920
Speaker 1: you can, and you can because all the information is there, right,

776
00:43:28,080 --> 00:43:31,200
Speaker 1: so they yeah, they said, we don't want this advertisement

777
00:43:31,239 --> 00:43:36,200
Speaker 1: to reach Jews, people of color, mothers of high school students,

778
00:43:36,239 --> 00:43:38,560
Speaker 1: which was weird, but I guess it's because high school

779
00:43:38,600 --> 00:43:42,120
Speaker 1: students are gonna, you know, be loud or like stay

780
00:43:42,200 --> 00:43:45,279
Speaker 1: up late. Like but so they all all of these

781
00:43:45,280 --> 00:43:50,600
Speaker 1: are legally protected groups. You can't exactly exclude them. And

782
00:43:50,800 --> 00:43:55,000
Speaker 1: when you're you know, selling real estate. But Facebook was

783
00:43:55,080 --> 00:43:58,120
Speaker 1: like oops, oh yeah, WHOA didn't realize you could use

784
00:43:58,160 --> 00:44:02,000
Speaker 1: that for that right essentially, or like have ads like

785
00:44:02,160 --> 00:44:04,080
Speaker 1: use things like we only want to serve our ads

786
00:44:04,160 --> 00:44:05,759
Speaker 1: to literally, Like I think that was in that same

787
00:44:05,760 --> 00:44:07,839
Speaker 1: study or a previous one that said they could find

788
00:44:07,880 --> 00:44:10,799
Speaker 1: anyone who had jew hater in their profile and then

789
00:44:10,880 --> 00:44:12,880
Speaker 1: be like, that's who I want to talk to. So

790
00:44:13,040 --> 00:44:15,560
Speaker 1: it's kind of like like so people kind of have

791
00:44:15,640 --> 00:44:17,399
Speaker 1: done this forever. Like let's say you want to run

792
00:44:17,400 --> 00:44:20,320
Speaker 1: an ad during Empire, it means you're trying to target

793
00:44:20,360 --> 00:44:23,080
Speaker 1: black people between this age and this age. But if

794
00:44:23,080 --> 00:44:27,560
Speaker 1: you specifically say it, that's when it's getting weird. I guess, well,

795
00:44:27,760 --> 00:44:29,880
Speaker 1: I mean it's it's I guess in one sense, but

796
00:44:29,920 --> 00:44:31,600
Speaker 1: it's I think it's when you do it for these

797
00:44:31,800 --> 00:44:34,840
Speaker 1: means that are technically illegal, or you're or you're spreading

798
00:44:34,880 --> 00:44:38,000
Speaker 1: a very damaging, like you know message by like like

799
00:44:38,120 --> 00:44:40,719
Speaker 1: hate ads that are looking for people who have like

800
00:44:40,760 --> 00:44:43,359
Speaker 1: an anti Semitic bias or something like that, right, And

801
00:44:43,600 --> 00:44:47,880
Speaker 1: nobody would ever by Facebook ads just to target black people.

802
00:44:47,920 --> 00:44:51,880
Speaker 1: They would never buy Facebook ads to target black people

803
00:44:51,920 --> 00:44:56,600
Speaker 1: who are Arsenal fans and live in the Los Angeles area,

804
00:44:56,680 --> 00:44:59,799
Speaker 1: you get targeted. That's what That's why Facebook is so

805
00:45:00,040 --> 00:45:04,000
Speaker 1: incredibly powerful is you can find the people that you

806
00:45:04,080 --> 00:45:08,239
Speaker 1: need to find that they know so much about you, know,

807
00:45:08,320 --> 00:45:12,800
Speaker 1: your likes and preferences. And that's also why it's so crazy.

808
00:45:12,920 --> 00:45:16,480
Speaker 1: Is that's why you know, nobody realized what was happening

809
00:45:16,600 --> 00:45:20,000
Speaker 1: during the two thousand sixteen election because it wasn't happening

810
00:45:20,040 --> 00:45:23,640
Speaker 1: to all of us. It was happening to individuals, and

811
00:45:23,800 --> 00:45:28,919
Speaker 1: everybody was experiencing reality in their own way. So you know, yes,

812
00:45:29,040 --> 00:45:32,160
Speaker 1: the media was in their own bubble, but that's because

813
00:45:32,400 --> 00:45:37,360
Speaker 1: they were existing in a reality, like a hyper reality

814
00:45:37,440 --> 00:45:41,200
Speaker 1: on the Internet where they had a completely different experience

815
00:45:41,320 --> 00:45:44,120
Speaker 1: from other people. And I mean that's not to excuse it,

816
00:45:44,160 --> 00:45:47,000
Speaker 1: but that is what made it possible. And yeah, when

817
00:45:47,000 --> 00:45:49,279
Speaker 1: we were unaware of that too, or just how much

818
00:45:49,600 --> 00:45:52,239
Speaker 1: the reality can be distorted or differ from person. This

819
00:45:52,360 --> 00:45:54,680
Speaker 1: is like you kind of had mentioned this before. We

820
00:45:54,840 --> 00:45:56,719
Speaker 1: were like, there's a lot of young people who say, like,

821
00:45:56,719 --> 00:45:59,640
Speaker 1: I don't use Facebook anymore, Facebook slam or whatever, and

822
00:45:59,719 --> 00:46:02,880
Speaker 1: took to quote someone who's uh, gonna offer an opinion

823
00:46:03,239 --> 00:46:05,520
Speaker 1: of how people don't use Facebook anymore. Chief Keief just

824
00:46:05,560 --> 00:46:08,160
Speaker 1: posted this Instagram thing that I was trying to find

825
00:46:08,160 --> 00:46:10,000
Speaker 1: the screenshot, but I remember it. Basically it was someone

826
00:46:10,080 --> 00:46:12,920
Speaker 1: trying to act like him on Facebook messaging, someone being

827
00:46:12,960 --> 00:46:16,200
Speaker 1: like yo, come through and His caption was like, uh,

828
00:46:16,239 --> 00:46:17,920
Speaker 1: if anyone ever tries to come at you like this,

829
00:46:18,120 --> 00:46:20,160
Speaker 1: nood ait me what kind of bomass? And they guy

830
00:46:20,239 --> 00:46:25,560
Speaker 1: look like using Facebook And that's like that's what a

831
00:46:25,560 --> 00:46:27,000
Speaker 1: lot of people think about it. So I'm like, in

832
00:46:27,040 --> 00:46:29,080
Speaker 1: the future, is it really going to have as much

833
00:46:29,080 --> 00:46:32,279
Speaker 1: power if this whole generation of people are like, we

834
00:46:32,320 --> 00:46:35,080
Speaker 1: don't funk with it, But I use Instagram though, right right, right, yeah,

835
00:46:35,080 --> 00:46:36,880
Speaker 1: and I think it'll just shift. I mean, we're just

836
00:46:37,120 --> 00:46:39,239
Speaker 1: there if if it's not Facebook, it's Twitter. If it's

837
00:46:39,280 --> 00:46:41,799
Speaker 1: not Twitter's Snapchat, it's not Snapchat, a Instagram and even

838
00:46:42,000 --> 00:46:44,799
Speaker 1: But that's not to say that outside of maybe this

839
00:46:44,880 --> 00:46:49,600
Speaker 1: small group or subset of people, there are still billions

840
00:46:49,719 --> 00:46:52,680
Speaker 1: of people who use Facebook and aren't on that, who

841
00:46:52,680 --> 00:46:54,600
Speaker 1: are just like, yeah, that's how I get my news,

842
00:46:54,600 --> 00:46:58,200
Speaker 1: that's how I yeah ingest information. If you're just on

843
00:46:58,200 --> 00:47:00,360
Speaker 1: Facebook and you go to a page it has a

844
00:47:00,360 --> 00:47:04,799
Speaker 1: Facebook like button on it, Facebook checks that off. They

845
00:47:04,800 --> 00:47:06,799
Speaker 1: know that you've been to that page. That goes into

846
00:47:06,840 --> 00:47:12,040
Speaker 1: their database. They're constantly aware of you without you doing anything.

847
00:47:12,080 --> 00:47:13,799
Speaker 1: You don't have to like it, you just have to

848
00:47:13,920 --> 00:47:16,360
Speaker 1: be on that page. And it's like the thing of

849
00:47:16,480 --> 00:47:19,200
Speaker 1: like if you if you just have it running in

850
00:47:19,239 --> 00:47:21,040
Speaker 1: the background and you go to all these other websites,

851
00:47:21,080 --> 00:47:23,920
Speaker 1: that turns that too. And then again because Instagram and

852
00:47:23,960 --> 00:47:25,839
Speaker 1: Facebook are one of the same, then you also get

853
00:47:25,880 --> 00:47:27,800
Speaker 1: those crazy ads and you're like, I was just talking

854
00:47:27,800 --> 00:47:31,200
Speaker 1: about this ship. My friend was just telling me about this,

855
00:47:31,239 --> 00:47:33,480
Speaker 1: where like I think it's I don't know if this

856
00:47:33,560 --> 00:47:35,239
Speaker 1: is the thing you lopped into and Facebook or it's

857
00:47:35,280 --> 00:47:37,759
Speaker 1: an iTunes thing you opt into, but it's in terms

858
00:47:37,760 --> 00:47:39,480
Speaker 1: of service thing that you can opt out of, but

859
00:47:39,520 --> 00:47:41,799
Speaker 1: you have to like try to opt out of it.

860
00:47:42,000 --> 00:47:46,040
Speaker 1: And basically it has the authorization to be listening to

861
00:47:46,160 --> 00:47:49,840
Speaker 1: your microphone when you're just talking. And like you know

862
00:47:49,880 --> 00:47:51,279
Speaker 1: how everyone says that thing of like I was just

863
00:47:51,320 --> 00:47:54,799
Speaker 1: talking about this, Like that's real, I guess yeah. And

864
00:47:54,880 --> 00:47:58,239
Speaker 1: I like, even if you're turning your microphone off, they

865
00:47:58,320 --> 00:48:01,640
Speaker 1: are creating such a deep tailed profile of you, just

866
00:48:02,120 --> 00:48:04,759
Speaker 1: in ways that we're not aware of, even if they're

867
00:48:04,760 --> 00:48:08,000
Speaker 1: not listening like doing ship that's like bugging you. Like

868
00:48:08,800 --> 00:48:14,520
Speaker 1: it's just they have so many data sets. I've heard

869
00:48:14,560 --> 00:48:18,760
Speaker 1: somebody on the radio recently say that credit card companies

870
00:48:18,840 --> 00:48:23,760
Speaker 1: no longer consider themselves you know, financial lenders or whatever

871
00:48:23,800 --> 00:48:26,880
Speaker 1: they used to consider themselves. They consider themselves data miners

872
00:48:27,040 --> 00:48:30,439
Speaker 1: because they are just the way that they're actually making

873
00:48:30,480 --> 00:48:33,480
Speaker 1: most of their money is by collecting information about your

874
00:48:33,480 --> 00:48:37,680
Speaker 1: purchase habits and selling that information off your who buys that? Oh,

875
00:48:39,239 --> 00:48:43,160
Speaker 1: it's the most valuable things right now? Like an advertising

876
00:48:43,239 --> 00:48:45,759
Speaker 1: firm like several that are here in Los Angeles would

877
00:48:45,920 --> 00:48:48,960
Speaker 1: go to MasterCard or something and be like, can I

878
00:48:49,040 --> 00:48:54,400
Speaker 1: buy this buying history to figure out like, oh, like

879
00:48:54,520 --> 00:48:57,320
Speaker 1: what are what's the most common purchase amongst like affluent

880
00:48:57,320 --> 00:48:59,600
Speaker 1: millennials based on you know, what their income in Because

881
00:48:59,640 --> 00:49:01,640
Speaker 1: you're there, you know what they're spending their money on.

882
00:49:01,920 --> 00:49:04,719
Speaker 1: I really want to know, like the figures for that,

883
00:49:04,800 --> 00:49:08,319
Speaker 1: Like how much does Facebook or like Visa charge to

884
00:49:08,520 --> 00:49:11,480
Speaker 1: sell information? Is it by like we want to buy

885
00:49:11,520 --> 00:49:13,880
Speaker 1: black people's information? Like is it like that they segment

886
00:49:13,920 --> 00:49:15,960
Speaker 1: it off like that? I have no idea, Yeah I don't,

887
00:49:16,480 --> 00:49:18,600
Speaker 1: but I know they make a lot of their money

888
00:49:18,640 --> 00:49:20,879
Speaker 1: by doing that. Yeah, I've heard Facebook does for sure.

889
00:49:20,920 --> 00:49:22,560
Speaker 1: And that's how Google makes their money as well too.

890
00:49:23,360 --> 00:49:25,560
Speaker 1: You get Gmail for free and we sell your info.

891
00:49:26,000 --> 00:49:29,120
Speaker 1: So that's the trade, right, you know what I'm like,

892
00:49:29,200 --> 00:49:31,080
Speaker 1: you know how people started doing the thing where they

893
00:49:31,080 --> 00:49:33,480
Speaker 1: put the black tape over their camera and all that.

894
00:49:33,840 --> 00:49:36,680
Speaker 1: I'm kind of the mind of like they have so

895
00:49:36,760 --> 00:49:39,440
Speaker 1: much on me already that if they wanted to ruin me,

896
00:49:39,480 --> 00:49:41,920
Speaker 1: they could. So it's like I don't even care anymore.

897
00:49:41,920 --> 00:49:43,799
Speaker 1: I'm not trying to keep anything secret. I'm like, hey,

898
00:49:43,800 --> 00:49:46,719
Speaker 1: if they decide that they want to leak my dick

899
00:49:46,760 --> 00:49:49,080
Speaker 1: pics or whatever they want to do, it's over. So

900
00:49:49,239 --> 00:49:52,040
Speaker 1: like I'm just gonna live open. I think that's the

901
00:49:52,080 --> 00:49:55,120
Speaker 1: way a lot of people think these days, is like,

902
00:49:55,360 --> 00:49:58,160
Speaker 1: you know, if I'm not doing anything so bad, if

903
00:49:58,200 --> 00:50:02,520
Speaker 1: I'm not a terrorist, then you know, it's not that dangerous.

904
00:50:02,560 --> 00:50:05,640
Speaker 1: And that's kind of how I always felt. I felt like, uh,

905
00:50:05,680 --> 00:50:08,279
Speaker 1: you know, I'm right on that edge between like I

906
00:50:08,320 --> 00:50:11,279
Speaker 1: was born in eighties, so like I know the like

907
00:50:11,480 --> 00:50:14,239
Speaker 1: paranoid way that people were before, where they were like

908
00:50:14,280 --> 00:50:16,919
Speaker 1: you gotta protect your privacy. And I also know how

909
00:50:16,960 --> 00:50:18,640
Speaker 1: like people who are a little bit younger than they

910
00:50:18,680 --> 00:50:20,920
Speaker 1: are just like who gives a ship like my fun

911
00:50:21,000 --> 00:50:23,120
Speaker 1: my privacy? Like as long as if it just like

912
00:50:23,200 --> 00:50:26,000
Speaker 1: gives me ads for ship that I already like, that's great.

913
00:50:26,040 --> 00:50:30,240
Speaker 1: But the fact that we're living in these mediated, little

914
00:50:30,480 --> 00:50:34,920
Speaker 1: like bubbles of existence. Is it's just now dawning on me,

915
00:50:35,040 --> 00:50:38,880
Speaker 1: Like how dangerous that can actually be? That and the

916
00:50:38,920 --> 00:50:42,400
Speaker 1: fact that we actually can't see Like there's this Atlantic

917
00:50:42,480 --> 00:50:45,239
Speaker 1: article that was like on Facebook, the campaigns could show

918
00:50:45,280 --> 00:50:48,000
Speaker 1: ads only to the people they targeted. We couldn't actually

919
00:50:48,000 --> 00:50:52,040
Speaker 1: see the messages they were reaching people in battleground areas

920
00:50:52,160 --> 00:50:55,200
Speaker 1: from the outside. It was a technical impossibility to know

921
00:50:55,280 --> 00:50:58,400
Speaker 1: what ads were running on Facebook, one that the company

922
00:50:58,480 --> 00:51:02,200
Speaker 1: had fought to keep intact. So is the nightmare situation

923
00:51:02,640 --> 00:51:07,480
Speaker 1: that somehow this information falls into the wrong hands or

924
00:51:07,560 --> 00:51:10,920
Speaker 1: is used to like blackmail people, Like is that like

925
00:51:11,040 --> 00:51:14,040
Speaker 1: we're living in the nightmare situation because that information was

926
00:51:14,160 --> 00:51:18,960
Speaker 1: used by fucking Cambridge Analytica to get Donald Trump elected?

927
00:51:19,040 --> 00:51:21,840
Speaker 1: I think is I mean, that's that's a strong statement,

928
00:51:21,840 --> 00:51:24,600
Speaker 1: but that's sort of how they did. They buy it

929
00:51:24,680 --> 00:51:27,760
Speaker 1: from somewhere like they got okay, and it's you're basically

930
00:51:27,800 --> 00:51:31,000
Speaker 1: just getting gas lit because they can present you with

931
00:51:31,040 --> 00:51:34,640
Speaker 1: a reality through the social media targeting you knowing like

932
00:51:34,719 --> 00:51:36,880
Speaker 1: you know what you're more inclined to believe, or what

933
00:51:36,960 --> 00:51:40,840
Speaker 1: your ideology is, and begin sort of twisting your perception

934
00:51:40,840 --> 00:51:43,319
Speaker 1: of what the how the world is actually operating, which

935
00:51:43,360 --> 00:51:45,600
Speaker 1: you can tell like through depending on like you know,

936
00:51:45,640 --> 00:51:47,800
Speaker 1: when you see all like with the all the Russia

937
00:51:47,920 --> 00:51:51,600
Speaker 1: stuff in the election, they were affecting physical space through

938
00:51:51,640 --> 00:51:55,080
Speaker 1: the Internet by you know, agitating people who have like

939
00:51:55,120 --> 00:51:58,640
Speaker 1: an anti Muslim, anti immigrant bias and then people who

940
00:51:58,680 --> 00:52:02,279
Speaker 1: have a pro immigrant, pro Islam bias or just inclusive

941
00:52:02,320 --> 00:52:04,200
Speaker 1: bias and being like, oh well, there's gonna be a

942
00:52:04,239 --> 00:52:06,520
Speaker 1: ratley here, like let's get these people fighting. Like they're

943
00:52:06,560 --> 00:52:11,240
Speaker 1: already manipulating people. They're moving people around in physical space

944
00:52:11,480 --> 00:52:13,880
Speaker 1: through the Internet, which I think can be I think that,

945
00:52:13,920 --> 00:52:15,680
Speaker 1: I mean, guess the next night mercenario is like when

946
00:52:15,680 --> 00:52:19,000
Speaker 1: people are like truly there's like a catastrophic loss of life.

947
00:52:19,280 --> 00:52:22,000
Speaker 1: But I mean, ship if if you're already being able

948
00:52:22,040 --> 00:52:25,440
Speaker 1: to just stirre sh it up digitally and affect physical space,

949
00:52:25,680 --> 00:52:28,560
Speaker 1: I think that is a night mercenario. Yeah, that makes sense.

950
00:52:28,600 --> 00:52:30,359
Speaker 1: I didn't think about the cameradge analytic and thing. That's

951
00:52:30,360 --> 00:52:32,080
Speaker 1: such a good point. I saw this article. My friend

952
00:52:32,160 --> 00:52:34,200
Speaker 1: sent it to me. It's a vanity fa ratical. It's

953
00:52:34,200 --> 00:52:36,120
Speaker 1: called the end of the social aita can't come soon enough?

954
00:52:36,160 --> 00:52:39,000
Speaker 1: And the basic premises. It seems increasingly likely that our

955
00:52:39,040 --> 00:52:42,600
Speaker 1: society will one day view our infatuation with Twitter, Facebook,

956
00:52:42,960 --> 00:52:48,120
Speaker 1: whatever like a passing, often destructive fad um. But the

957
00:52:48,160 --> 00:52:50,280
Speaker 1: problem I think with this is that this was written

958
00:52:50,320 --> 00:52:52,520
Speaker 1: by someone who is old enough to remember time before

959
00:52:52,600 --> 00:52:55,080
Speaker 1: we had those things, and they can envision a time

960
00:52:55,120 --> 00:52:57,040
Speaker 1: without it. But I think for all these kids who

961
00:52:57,080 --> 00:53:00,440
Speaker 1: grew up with this, their brains are literally wired differently.

962
00:53:00,440 --> 00:53:02,319
Speaker 1: I think that, like you were saying, even if they

963
00:53:02,320 --> 00:53:04,800
Speaker 1: stop using Twitter, Facebook and Instagram, there's always gonna be

964
00:53:04,840 --> 00:53:08,120
Speaker 1: that need for a different thing. I don't think anyone

965
00:53:08,160 --> 00:53:11,319
Speaker 1: can just cold turkey not use social media. I mean

966
00:53:11,320 --> 00:53:13,000
Speaker 1: the guy who wrote that, Nick Bilton, he is like

967
00:53:13,040 --> 00:53:15,120
Speaker 1: an expert in Twitter, and I used to actually work

968
00:53:15,160 --> 00:53:17,640
Speaker 1: with him at Fanity Fair, like really super smart guy.

969
00:53:17,719 --> 00:53:20,160
Speaker 1: But that's true, like even for people like me born

970
00:53:20,160 --> 00:53:23,480
Speaker 1: in the eighties, I knew I used dial up phones,

971
00:53:23,560 --> 00:53:26,279
Speaker 1: I had dial up Internet. I remember the Internet was

972
00:53:26,320 --> 00:53:29,000
Speaker 1: a like a new thing that we weren't quite sure of,

973
00:53:29,040 --> 00:53:31,120
Speaker 1: and I also know how to live without it because

974
00:53:31,120 --> 00:53:35,120
Speaker 1: I experienced life in an era where there was no Internet. Now,

975
00:53:35,320 --> 00:53:37,200
Speaker 1: can you say that that can be said for kids

976
00:53:37,239 --> 00:53:39,520
Speaker 1: who are growing up now who have only known the Internet,

977
00:53:39,560 --> 00:53:42,200
Speaker 1: who have only known social media, like what I know

978
00:53:42,280 --> 00:53:45,040
Speaker 1: a lot of young people who have tried to quit Facebook,

979
00:53:45,120 --> 00:53:47,719
Speaker 1: like it's a drug, and so I do think that

980
00:53:47,760 --> 00:53:51,239
Speaker 1: there's at least some awareness that it is a vice,

981
00:53:51,400 --> 00:53:55,640
Speaker 1: which like even when you know, my younger cousins were like, yeah,

982
00:53:55,680 --> 00:53:58,560
Speaker 1: I had to quit Facebook, Like that didn't totally scan

983
00:53:58,719 --> 00:54:01,920
Speaker 1: me because, like, you know, I I hadn't been deeply

984
00:54:01,960 --> 00:54:06,640
Speaker 1: involved enough to understand like why it was problematic. But yeah,

985
00:54:06,640 --> 00:54:08,160
Speaker 1: they talked about that a lot. In this article. There's

986
00:54:08,200 --> 00:54:10,040
Speaker 1: a lot of quotes from people who actually like worked

987
00:54:10,080 --> 00:54:12,719
Speaker 1: at Twitter and Facebook who've left, who are now like,

988
00:54:13,000 --> 00:54:16,880
Speaker 1: I feel guilty. Uh, we were creating this as a

989
00:54:17,000 --> 00:54:18,920
Speaker 1: drug because the whole thing was that it gives you

990
00:54:18,960 --> 00:54:21,279
Speaker 1: this dope, meane response, and it's designed to be like that.

991
00:54:21,480 --> 00:54:24,000
Speaker 1: And so they're saying they're off it and done with it.

992
00:54:24,040 --> 00:54:26,720
Speaker 1: But yeah, I don't it'd be it'd be very hard

993
00:54:26,760 --> 00:54:28,880
Speaker 1: for enough people to be self aware enough to be like,

994
00:54:29,040 --> 00:54:31,200
Speaker 1: you know what, I have to back out. No, I

995
00:54:31,239 --> 00:54:32,960
Speaker 1: think I think it needs to come from the government

996
00:54:33,000 --> 00:54:35,120
Speaker 1: because the companies aren't going to change it. The people

997
00:54:35,280 --> 00:54:38,040
Speaker 1: are like, there's not gonna be a big enough mass movement.

998
00:54:38,120 --> 00:54:40,640
Speaker 1: I think there's going to need to be a movement

999
00:54:40,760 --> 00:54:45,240
Speaker 1: like the you know, populist progressive movement in the early

1000
00:54:45,239 --> 00:54:48,799
Speaker 1: twentieth century against you know, the big robber barons. That's

1001
00:54:48,840 --> 00:54:51,719
Speaker 1: how like the next generation is probably going to have

1002
00:54:51,760 --> 00:54:55,040
Speaker 1: to treat the Yeah, I mean this comes along with

1003
00:54:55,080 --> 00:54:58,000
Speaker 1: like the whole like free internet whatever type ship that's

1004
00:54:58,000 --> 00:54:59,600
Speaker 1: happening right now works. So it was like if you

1005
00:54:59,640 --> 00:55:01,839
Speaker 1: put in any sort of regulations like that, that would

1006
00:55:01,840 --> 00:55:05,120
Speaker 1: almost be like doing what the FCC is trying to

1007
00:55:05,160 --> 00:55:08,759
Speaker 1: do right now. It's and like as somebody who like

1008
00:55:09,320 --> 00:55:11,600
Speaker 1: is kind of on that border, you know, the fact

1009
00:55:11,640 --> 00:55:15,920
Speaker 1: that the FCC like used to be like the big

1010
00:55:15,960 --> 00:55:17,960
Speaker 1: thing that they were known for. In my mind before

1011
00:55:18,680 --> 00:55:23,040
Speaker 1: this was flipping out when Janet Jackson's nipple was exposed

1012
00:55:23,040 --> 00:55:27,279
Speaker 1: in the Super Bowl and like that is so ridiculous

1013
00:55:27,360 --> 00:55:31,399
Speaker 1: that they were worried about people experiencing a nipple. But

1014
00:55:31,480 --> 00:55:35,160
Speaker 1: like now like that, so they were trying to mediate

1015
00:55:35,200 --> 00:55:38,960
Speaker 1: people's experience like away from having to experience like seeing

1016
00:55:38,960 --> 00:55:42,719
Speaker 1: somebody's nipple. Like now they're just letting everything. There's so

1017
00:55:42,760 --> 00:55:45,560
Speaker 1: many different people experiencing so many different things that are

1018
00:55:45,560 --> 00:55:50,160
Speaker 1: completely outside of the control of any anyone really, So

1019
00:55:50,520 --> 00:55:53,560
Speaker 1: our solution for all of this is, we don't fucking know. Man,

1020
00:55:53,680 --> 00:55:57,120
Speaker 1: somebody is smarter than me. Uh needs to start working

1021
00:55:57,160 --> 00:56:00,160
Speaker 1: on this ship. So yeah, I guess being aware of

1022
00:56:00,200 --> 00:56:03,719
Speaker 1: it has at least seemed helpful for me, being aware

1023
00:56:03,760 --> 00:56:08,160
Speaker 1: that I'm living a completely mediated, algorithmically curated experience in

1024
00:56:08,200 --> 00:56:13,400
Speaker 1: a way a simulation, right, exactly, I should do improv

1025
00:56:13,719 --> 00:56:18,680
Speaker 1: Back to Golden Tates and that's how you do, Harold. Alright,

1026
00:56:18,719 --> 00:56:29,799
Speaker 1: we're gonna take a quick break and we're back. So

1027
00:56:30,120 --> 00:56:32,759
Speaker 1: people are flipping out about the number one movie at

1028
00:56:32,760 --> 00:56:37,680
Speaker 1: the box office, Coco, which is a Pixar movie. Uh so, Edgar,

1029
00:56:38,000 --> 00:56:40,799
Speaker 1: you know, hold your tongue. I'm already been looking at

1030
00:56:40,800 --> 00:56:44,839
Speaker 1: my phone being like, funk this, come check that you're

1031
00:56:44,840 --> 00:56:46,520
Speaker 1: all mad. You thought Coco was about like a black

1032
00:56:46,560 --> 00:56:50,520
Speaker 1: woman woman with the afro and cocon oil and not

1033
00:56:50,600 --> 00:56:56,120
Speaker 1: Coco Brown. But so apparently, uh people, people are mad

1034
00:56:56,160 --> 00:56:59,480
Speaker 1: because there is a short at the beginning of this

1035
00:56:59,640 --> 00:57:04,000
Speaker 1: pix Our movie that is incredibly long, and we actually

1036
00:57:04,000 --> 00:57:08,400
Speaker 1: have our super producer, Nick Stunf, who Nick, you you

1037
00:57:08,480 --> 00:57:13,120
Speaker 1: brought your daughters to Uh Coco over the weekend and

1038
00:57:13,320 --> 00:57:19,240
Speaker 1: wore Yeah, you see his face, he is seething, broken

1039
00:57:19,280 --> 00:57:22,560
Speaker 1: orange in his hand. I hear, I hear nothing but

1040
00:57:22,640 --> 00:57:27,560
Speaker 1: good things about Coco the movie. But your daughter walked out, right, Yeah,

1041
00:57:27,560 --> 00:57:29,480
Speaker 1: I didn't get to see all of Coco because there

1042
00:57:29,520 --> 00:57:34,000
Speaker 1: was an involuntary Frozen movie before the film, which exhausted

1043
00:57:34,200 --> 00:57:38,520
Speaker 1: the precious minutes of my daughter's attention span. And uh

1044
00:57:38,600 --> 00:57:41,600
Speaker 1: so we didn't get all the way through Cocoa. Unfortunately.

1045
00:57:41,600 --> 00:57:46,640
Speaker 1: I liked what I saw of it. Right, So the

1046
00:57:46,720 --> 00:57:50,640
Speaker 1: short the short film beforehand, because I think there's been

1047
00:57:51,400 --> 00:57:54,680
Speaker 1: quite a few Pixar movies that started with Yeah. I

1048
00:57:54,720 --> 00:57:57,600
Speaker 1: think it's a tradition. They usually are maybe like two

1049
00:57:57,640 --> 00:58:00,280
Speaker 1: to five minutes, but they've been getting a longer and

1050
00:58:00,320 --> 00:58:05,200
Speaker 1: longer at time. Right. The I think Um Inside Out

1051
00:58:05,640 --> 00:58:10,439
Speaker 1: had a Mowanna sort of preview thing that one. Yeah,

1052
00:58:10,480 --> 00:58:17,480
Speaker 1: it was the longest volcano. Volcano? Uh, Nick, how long

1053
00:58:17,560 --> 00:58:21,960
Speaker 1: was this one? Uh, it's seemed like forever. I think

1054
00:58:21,960 --> 00:58:24,520
Speaker 1: it was twenty four minutes. Twenty one minutes, sorry, twenty

1055
00:58:24,520 --> 00:58:27,040
Speaker 1: one minutes, which is an eternity for something you don't

1056
00:58:27,280 --> 00:58:29,720
Speaker 1: you're not in the mood for, right and for children

1057
00:58:29,760 --> 00:58:33,600
Speaker 1: whose attention span is not very long. You can't get

1058
00:58:33,680 --> 00:58:38,440
Speaker 1: children to sit still for uh literally anything, So asking

1059
00:58:38,480 --> 00:58:42,520
Speaker 1: them to sit still for one movie and then sit

1060
00:58:42,560 --> 00:58:46,640
Speaker 1: still for a second movie like after the first one ends. Um,

1061
00:58:46,720 --> 00:58:49,400
Speaker 1: And also so I have a problem with al off.

1062
00:58:49,520 --> 00:58:53,440
Speaker 1: You guys don't even get any started on Olaf from Frozen,

1063
00:58:53,520 --> 00:58:58,240
Speaker 1: because isn't isn't the movie about Olaf from Frozen, uh,

1064
00:58:58,600 --> 00:59:03,520
Speaker 1: which featuring the most rotating character from the most act right.

1065
00:59:03,560 --> 00:59:07,320
Speaker 1: So Frozen is uh, you know, a huge movie because

1066
00:59:07,480 --> 00:59:12,040
Speaker 1: Disney accidentally made a movie about two female protagonists and

1067
00:59:12,280 --> 00:59:15,200
Speaker 1: they were like, oh, ship, this isn't the worst thing

1068
00:59:15,240 --> 00:59:18,840
Speaker 1: in the world. People are super into this. But they

1069
00:59:18,880 --> 00:59:21,760
Speaker 1: thought that it was like a really big mistake to

1070
00:59:21,840 --> 00:59:24,880
Speaker 1: have two female protagonists. And so when the Frozen preview

1071
00:59:24,920 --> 00:59:27,840
Speaker 1: first came out, it was the Snowman and the reindeer

1072
00:59:28,120 --> 00:59:31,680
Speaker 1: like just like fugging around on a frozen pond, like

1073
00:59:31,760 --> 00:59:36,720
Speaker 1: just the preview for the actual movie Frozen was essentially

1074
00:59:36,760 --> 00:59:39,120
Speaker 1: like a short about Olaf. They were like, man, this

1075
00:59:39,560 --> 00:59:43,200
Speaker 1: Snowman character is clearly the best and kids are gonna

1076
00:59:43,200 --> 00:59:46,880
Speaker 1: love them, but it's it's like the jar Jar Banks

1077
00:59:46,920 --> 00:59:51,280
Speaker 1: of the Disney universe. Essentially yeah it was created by

1078
00:59:51,280 --> 00:59:55,640
Speaker 1: the same mind, right, Um, but yeah, so just just

1079
00:59:55,840 --> 00:59:58,640
Speaker 1: not a great movie. Not a great movie, and and

1080
00:59:58,680 --> 01:00:01,960
Speaker 1: just also, like you know, fighting against seeing Frozen is

1081
01:00:01,960 --> 01:00:04,880
Speaker 1: something that I've I've been trying too very hard to

1082
01:00:04,880 --> 01:00:06,440
Speaker 1: do since my kids were born. I was like, I

1083
01:00:06,520 --> 01:00:08,120
Speaker 1: knew it was coming, but I was like, I'm gonna

1084
01:00:08,120 --> 01:00:12,960
Speaker 1: fight this because I'm gonna fight you know. It was

1085
01:00:13,000 --> 01:00:15,000
Speaker 1: eventually they're gonna see it, and they're gonna be talking

1086
01:00:15,000 --> 01:00:17,640
Speaker 1: about Elsa and stuff. And sure enough that that did

1087
01:00:17,640 --> 01:00:20,240
Speaker 1: eventually happen. But I did a pretty good job holding

1088
01:00:20,240 --> 01:00:21,880
Speaker 1: the line. But like when you go to a movie

1089
01:00:21,920 --> 01:00:25,000
Speaker 1: that's not Frozen and then yet there you are watching

1090
01:00:25,000 --> 01:00:32,360
Speaker 1: Frozen featuring the most annoying an unimaginative character from that,

1091
01:00:32,440 --> 01:00:34,680
Speaker 1: I felt like it's interesting too because I I started

1092
01:00:34,680 --> 01:00:36,400
Speaker 1: picking up on this because a couple of my friends

1093
01:00:36,440 --> 01:00:40,080
Speaker 1: who have young kids were on Twitter saying the same things, like, Hey,

1094
01:00:40,160 --> 01:00:42,240
Speaker 1: just the heads up if you're going to see Cocoa,

1095
01:00:42,560 --> 01:00:44,760
Speaker 1: just know they're gonna sit to a twenty minute like

1096
01:00:44,960 --> 01:00:47,520
Speaker 1: laughable fucking thing before you actually get to the movie

1097
01:00:47,720 --> 01:00:50,160
Speaker 1: you wanted to see. And like, my kid doesn't even

1098
01:00:50,240 --> 01:00:53,280
Speaker 1: is confused now because he thinks we're watching Frozen and not.

1099
01:00:54,040 --> 01:00:55,800
Speaker 1: But like, yeah, my daughter was like, okay, great, I

1100
01:00:55,840 --> 01:00:57,520
Speaker 1: saw my movie. It was like you know, beginning, middle,

1101
01:00:57,520 --> 01:00:59,320
Speaker 1: and end. Then she's like got up and started tearing

1102
01:00:59,320 --> 01:01:01,080
Speaker 1: around the theater like okay, well, I guess that's it

1103
01:01:01,160 --> 01:01:03,680
Speaker 1: for us. It's like, yeah, the fact that there's like

1104
01:01:03,800 --> 01:01:06,280
Speaker 1: end credits like signals to the kid over. She got

1105
01:01:06,280 --> 01:01:08,680
Speaker 1: her entertainment. And I think y'all got duped by Disney.

1106
01:01:08,760 --> 01:01:11,360
Speaker 1: That's what I think. No, for real, here's what it is.

1107
01:01:11,400 --> 01:01:15,040
Speaker 1: Coco's a trash movie, but Disney knew what trash so

1108
01:01:15,080 --> 01:01:20,520
Speaker 1: they were just like have you seen It's one of

1109
01:01:20,560 --> 01:01:23,919
Speaker 1: the better reviewed movies of the year from the same

1110
01:01:24,120 --> 01:01:26,800
Speaker 1: critics who love that one movie where they use rabbits

1111
01:01:26,840 --> 01:01:30,800
Speaker 1: and uh and alligators to talk about racism. What was

1112
01:01:30,840 --> 01:01:36,320
Speaker 1: that movie? Utop? Yeah? Uh yeah, that was an important film.

1113
01:01:39,280 --> 01:01:41,760
Speaker 1: Put that old off movie in front of Coca, because look,

1114
01:01:41,760 --> 01:01:44,280
Speaker 1: we got a bad movie. Let's make a worst movie

1115
01:01:44,760 --> 01:01:46,760
Speaker 1: and everyone's gonna be like, yo, that Coca movie was

1116
01:01:46,800 --> 01:01:49,080
Speaker 1: so great because it wasn't that old. It was next

1117
01:01:49,080 --> 01:01:54,800
Speaker 1: to the like whoever is president? Next? After Trump's unreddit

1118
01:01:54,920 --> 01:01:57,840
Speaker 1: a person who works at a movie theater was like, yeah,

1119
01:01:57,840 --> 01:02:01,480
Speaker 1: I had about seventy confused customers who thought they were

1120
01:02:01,520 --> 01:02:04,640
Speaker 1: in the wrong theater since Disney just decided to start

1121
01:02:05,080 --> 01:02:08,640
Speaker 1: their movie with a completely different movie. Um, but they've

1122
01:02:08,680 --> 01:02:11,320
Speaker 1: always done this though. Yeah, it's just I think. I

1123
01:02:11,360 --> 01:02:14,760
Speaker 1: think once it got to like minute eighteen, they were like, yo,

1124
01:02:14,880 --> 01:02:17,240
Speaker 1: this is like the four were watching a different movie.

1125
01:02:17,280 --> 01:02:19,560
Speaker 1: Like the fourth musical number happens. You're like, am I

1126
01:02:19,600 --> 01:02:24,480
Speaker 1: just watching They're literally four different songs and then like

1127
01:02:24,600 --> 01:02:26,280
Speaker 1: this short, I like the other thing that in like

1128
01:02:26,440 --> 01:02:29,120
Speaker 1: theaters in Mexico, Like there were so many complaints from

1129
01:02:29,120 --> 01:02:32,680
Speaker 1: patrons that they just removed the short altogether. Like it

1130
01:02:32,800 --> 01:02:34,800
Speaker 1: was if you were like adding, come for this. Yeah,

1131
01:02:34,840 --> 01:02:37,400
Speaker 1: it's also irritating because it was like Coco, say what

1132
01:02:37,440 --> 01:02:40,720
Speaker 1: you will about it. Who hasn't seen it? You know,

1133
01:02:40,800 --> 01:02:42,400
Speaker 1: it's kind of a new thing. They go back and

1134
01:02:42,400 --> 01:02:44,840
Speaker 1: forth between English and Spanish with no subtitles, and like

1135
01:02:44,880 --> 01:02:48,600
Speaker 1: I was watching it in a in like a bilingual crowd,

1136
01:02:48,680 --> 01:02:50,640
Speaker 1: because like there was jokes is fully in Spanish, like

1137
01:02:50,640 --> 01:02:52,880
Speaker 1: somebody says no munches at some point and people and

1138
01:02:53,000 --> 01:02:55,880
Speaker 1: people laugh. Yeah, it was pretty cool. You know, there's

1139
01:02:55,920 --> 01:02:57,200
Speaker 1: a lot of things that I thought were pretty cool

1140
01:02:57,200 --> 01:02:59,640
Speaker 1: about it. Um, but then to have to have this

1141
01:02:59,720 --> 01:03:03,200
Speaker 1: like mandatory like frozen experience before, it's just like you

1142
01:03:03,200 --> 01:03:05,800
Speaker 1: can't you It's like you can't have anything you can

1143
01:03:05,840 --> 01:03:08,720
Speaker 1: put at the end. Yeah, right, or just don't right,

1144
01:03:08,920 --> 01:03:10,680
Speaker 1: I mean, I don't know. That's how I feel about

1145
01:03:10,680 --> 01:03:13,400
Speaker 1: that short dude from the Hobbit movies being in Black

1146
01:03:13,400 --> 01:03:17,600
Speaker 1: Panther and not on the short dude who plays the Hobbit.

1147
01:03:17,840 --> 01:03:21,000
Speaker 1: What's his name? He's also in the in the British

1148
01:03:21,080 --> 01:03:25,840
Speaker 1: Office Tim from the Office. Yeah, he's in Black Panther,

1149
01:03:26,000 --> 01:03:27,800
Speaker 1: And I feel like that's our oll off, Like we

1150
01:03:27,840 --> 01:03:29,840
Speaker 1: have to sit and watch this nick in Black Panther

1151
01:03:30,320 --> 01:03:32,600
Speaker 1: when we can't just have that movie ourselves. So I

1152
01:03:32,720 --> 01:03:35,120
Speaker 1: understand your point. I think it is. That's exactly I

1153
01:03:35,120 --> 01:03:39,840
Speaker 1: think that you've clear connection. Martin Martin Freeman. Yeah, it's

1154
01:03:39,840 --> 01:03:43,320
Speaker 1: like he's the Hobbit, right, I'm not crazy. He's the Hobbit. Yeah,

1155
01:03:43,320 --> 01:03:46,680
Speaker 1: he's Bilbo and he yeah, he I think plays who's

1156
01:03:46,720 --> 01:03:51,320
Speaker 1: the Hobbit? The Hobbit? There's no character named the Hobbit.

1157
01:03:52,400 --> 01:03:55,680
Speaker 1: Did you see the movie? You're like, hey, man, which

1158
01:03:55,720 --> 01:04:01,480
Speaker 1: one the Hobbit? So he none of them was The

1159
01:04:01,480 --> 01:04:07,080
Speaker 1: Lord of the Rings. Jesus, I didnt see Michael Jordan's

1160
01:04:07,160 --> 01:04:10,880
Speaker 1: the true Lord of the Rings, I guess. Because the

1161
01:04:10,960 --> 01:04:12,480
Speaker 1: other thing is this short was supposed to be like

1162
01:04:12,480 --> 01:04:15,440
Speaker 1: a TV movie that they were just like a fuck it,

1163
01:04:15,680 --> 01:04:17,360
Speaker 1: just throw it this. They're going to make it a

1164
01:04:17,360 --> 01:04:20,720
Speaker 1: holiday special and they're like, no, this, this movie's majesty

1165
01:04:20,880 --> 01:04:23,320
Speaker 1: needs to be captured on the big screen. Do you

1166
01:04:23,320 --> 01:04:25,080
Speaker 1: think it was or do you think it was a

1167
01:04:25,120 --> 01:04:27,920
Speaker 1: way to like temper audiences who like may have been

1168
01:04:27,920 --> 01:04:30,440
Speaker 1: relucting to take their children to like a so like

1169
01:04:30,760 --> 01:04:34,720
Speaker 1: Latin based culture film that it's like, hey, let's soften

1170
01:04:34,760 --> 01:04:39,720
Speaker 1: them up with a little snow right, Yeah, our audiences

1171
01:04:40,400 --> 01:04:42,680
Speaker 1: to preempt the angry email. Right right, you're like, well

1172
01:04:42,720 --> 01:04:44,440
Speaker 1: you got you got a little bit of white culture.

1173
01:04:44,520 --> 01:04:46,440
Speaker 1: I mean, that's totally in keeping with what they did

1174
01:04:46,440 --> 01:04:50,240
Speaker 1: with Frozen, because yeah, they like the one groundbreaking thing

1175
01:04:50,280 --> 01:04:52,360
Speaker 1: about Frozen is that it had two female leads. I

1176
01:04:52,400 --> 01:04:55,760
Speaker 1: think that's what like drove its success. But they thought

1177
01:04:55,800 --> 01:04:58,080
Speaker 1: they had to pretend that it was about a fucking

1178
01:04:58,080 --> 01:05:01,800
Speaker 1: magical talking snowman, because right, that's what I thought was about, Right,

1179
01:05:02,080 --> 01:05:05,160
Speaker 1: what is that? How it's marketed. Yeah, the first preview

1180
01:05:05,440 --> 01:05:10,000
Speaker 1: was the reindeer and Olaf like just fucking around on

1181
01:05:10,040 --> 01:05:11,720
Speaker 1: a on a frozen lake, and it was like a

1182
01:05:11,720 --> 01:05:17,600
Speaker 1: goofy like oh wow, like bud. So it's confusing because

1183
01:05:17,600 --> 01:05:18,760
Speaker 1: if that's what they were trying to do, then you

1184
01:05:18,880 --> 01:05:20,920
Speaker 1: think that they'd advertise it like come see Cocoa and

1185
01:05:20,960 --> 01:05:25,160
Speaker 1: also featuring this great from short frozen. But they just

1186
01:05:25,200 --> 01:05:27,120
Speaker 1: sort of blindside you with it. So I'm gonna see

1187
01:05:27,200 --> 01:05:30,840
Speaker 1: because it's it's interesting, like it. Mowanna got pretty decent

1188
01:05:31,480 --> 01:05:34,880
Speaker 1: acceptance from like Pacific Islander community, and Coco too seems

1189
01:05:34,920 --> 01:05:38,520
Speaker 1: to have a lot of people excited to it. Yeah, yeah,

1190
01:05:38,520 --> 01:05:40,600
Speaker 1: who aren't offended? I mean, I think, like anything, it's

1191
01:05:40,600 --> 01:05:43,360
Speaker 1: not perfect. But even til you're a point, like right,

1192
01:05:43,520 --> 01:05:45,960
Speaker 1: maybe they're doing it to pandera audience. Even if they're

1193
01:05:46,000 --> 01:05:48,760
Speaker 1: pentering there, you're putting, you're making the product, So I

1194
01:05:48,800 --> 01:05:50,960
Speaker 1: don't know. It's it's hard sometimes, yeah, like with to

1195
01:05:51,120 --> 01:05:53,680
Speaker 1: decide if the decision is like a nefarious decision to

1196
01:05:54,080 --> 01:05:57,560
Speaker 1: just exploit like a like a Spanish speaking audience. Listen,

1197
01:05:57,600 --> 01:05:59,720
Speaker 1: I'm okay with it once they start pandering to us,

1198
01:05:59,720 --> 01:06:02,280
Speaker 1: but we haven't gotten our Pixar movie yet, so I'm waiting.

1199
01:06:02,400 --> 01:06:05,560
Speaker 1: You know, they got the Pacific Islanders, got the Hispanic people.

1200
01:06:05,680 --> 01:06:08,880
Speaker 1: What was the one though? It was in a Pixar movie.

1201
01:06:08,160 --> 01:06:11,520
Speaker 1: It was, Oh, so you want to make that? You

1202
01:06:11,520 --> 01:06:15,200
Speaker 1: want this step to the you want the Pixar movie. Yeah,

1203
01:06:15,240 --> 01:06:18,240
Speaker 1: and the hair better looking? Already making another Incredibles. Come on?

1204
01:06:19,560 --> 01:06:21,480
Speaker 1: Well here, I mean, look, maybe we can wish it.

1205
01:06:21,560 --> 01:06:24,120
Speaker 1: Let's work on a script. Let's work the script and

1206
01:06:24,120 --> 01:06:26,440
Speaker 1: then we're gonna be a vacancy in the creative officer

1207
01:06:26,520 --> 01:06:29,520
Speaker 1: department of Pixar. Yeah right, exactly what there is? All right,

1208
01:06:29,560 --> 01:06:31,520
Speaker 1: so like, hey, let's get you in there. Listen, I

1209
01:06:31,520 --> 01:06:33,480
Speaker 1: already pitched you, guys my idea. He has a very

1210
01:06:33,520 --> 01:06:38,000
Speaker 1: good day and at the end he get shot by Okay,

1211
01:06:39,040 --> 01:06:43,640
Speaker 1: all right, that's gonna do it for this week's weekly Zeite. Guys,

1212
01:06:43,800 --> 01:06:47,640
Speaker 1: please like and review the show. If you like the show,

1213
01:06:48,200 --> 01:06:52,600
Speaker 1: uh means the world of Miles. He needs your validation, folks.

1214
01:06:53,200 --> 01:06:56,280
Speaker 1: I hope you're having a great weekend and I will

1215
01:06:56,280 --> 01:07:08,280
Speaker 1: talk to him Monday. By Sa