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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 yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. Really so, we all felt the chill

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Speaker 1: realizing that we are soon going to be replaced by

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Speaker 1: AI because late last week, trying to released a video

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Speaker 1: of an AI generated news anchor who is basically indistinguishable

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Speaker 1: from an actual speaking human being. Yeah. I mean they

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Speaker 1: basically took existing footage of an anchor and then use

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Speaker 1: that to make him a puppet essentially, like with facial

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Speaker 1: expressions and everything using machine learning. The voice you can

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Speaker 1: tell because it's so synthesized you thought it was, but

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Speaker 1: he is the baldy. Is the body like a real

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Speaker 1: robot android or is it a it's like a deep

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Speaker 1: fake like where it's animated video Like I'll just you

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Speaker 1: can see that's sort of what it looks. Its basically,

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Speaker 1: it looks it looks exactly like it looks like a person.

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Speaker 1: If you look at the mouth, you can kind of

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Speaker 1: see little sort of things here and there, but you

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Speaker 1: know it's a machine it's still learning. And this is

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Speaker 1: a technology I guess they're developed. Also it's in AI

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Speaker 1: that's only designed for journalism. I think this is more

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Speaker 1: just under like the AI is more around presenting a

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Speaker 1: human looking thing that that you can then just make

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Speaker 1: parrot whatever quote unquote news you needed to, because I

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Speaker 1: I did. When I was in the UK, I did

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Speaker 1: a show called How to Survive a Disaster Movie and

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Speaker 1: I had to go on a date um and I

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Speaker 1: was presented as the AI. So I went on a

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Speaker 1: blind date with three people and they were told, you

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Speaker 1: can keep asking him questions. He'll take a while to answer,

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Speaker 1: and then he'll he'll answer right. That's because I had

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Speaker 1: a little airpiece and whenever they asked me question, the

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Speaker 1: producer would put a question in this AI feed me

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Speaker 1: the answer that I and it was always very weird

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Speaker 1: answers because the I I wasn't human and responded quite

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Speaker 1: weirdly and anything to do with emotions or whatever. You know.

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Speaker 1: The the AI was really struggling right right right, And

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Speaker 1: that's the Alan Turing test to see, you know, whether

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Speaker 1: you know ken it? Yeah, can it successfully in mimic us?

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Speaker 1: But yeah, but it's going to get there. Yeah, right,

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Speaker 1: it's it's close, it's it's very excited. Yeah. There's a

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Speaker 1: book called Life three point oh by Max tag Mark

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Speaker 1: who talks about robot himself. He could Mark. He talks

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Speaker 1: about how AI is going to you know, it could

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Speaker 1: be in It could go in so many different paths

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Speaker 1: right now and we're still sort of in control of

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Speaker 1: the path that it could take, but it could it

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Speaker 1: could go very much like we're in control of it.

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Speaker 1: And if we're in control of it, is it conscious?

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Speaker 1: Because if it's conscious and we're trapping it, then is

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Speaker 1: that torture? Like we'd be trapping this conscious thing. If

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Speaker 1: it's not conscious, if it's just a zombie system that's AI,

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Speaker 1: then that's fine. We can use it like series not

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Speaker 1: conscious or is she um? So it's really like weird

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Speaker 1: because we don't even know what consciousness is. So what

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Speaker 1: can we do with at some point? What what is

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Speaker 1: it going to be? Like? Is it going to be alive?

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Speaker 1: And if it is, what can we do? Siri? Are

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Speaker 1: you conscious? Well? I do journal every day? Okay, all right,

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Speaker 1: off with your cute little lines. We've we've successfully mimicked

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Speaker 1: an asshole seri. Oh ye other hand, we do have

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Speaker 1: the functional equivalent of this with Wolf Blitzer in America

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Speaker 1: because he's a dumb person who will say anything you

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Speaker 1: put into it. Yeah, I mean, I think this whole

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Speaker 1: thing is kind of freaky though, because when you think

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Speaker 1: of like China just sort of a country that loves

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Speaker 1: censorship and loves like obscuring actual news, like whether it's

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Speaker 1: you know, people who are you know, dissident voices or

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Speaker 1: just trying to you know, obscure like the oppression of

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Speaker 1: the like Muslim weaker community there. You know that, I

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Speaker 1: can see how now they're like, Okay, let's just fucking

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Speaker 1: completely remove this from human beings and we can just

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Speaker 1: you know, give make it a human Twitter account. But well,

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Speaker 1: it's quite scary because it depends on how it's programs. Right,

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Speaker 1: If it's still under control of the humans, then essentially

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Speaker 1: it's it's not well yeah, well I think the AI,

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Speaker 1: I think there's just using the machine learning to mimic

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Speaker 1: human facial expressions in a video sense. They're still feeding

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Speaker 1: at the words that it has to perform, so in

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Speaker 1: that way, it's not creating the news, but just more like, hey,

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Speaker 1: we don't even need humans anymore to to be journalists.

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Speaker 1: Pretty much. I mean pretty much every single job is

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Speaker 1: going to go to AI at some point, which is

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Speaker 1: pretty exciting because if the government's get it right and

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Speaker 1: give us the free time, like if there's a basic

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Speaker 1: universal income, which I think America will be last to do.

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Speaker 1: Of course, it always feels like that, like basically univestal

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Speaker 1: incomes already coming into like some European countries. I think

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Speaker 1: Netherlands is doing it denmarks like a pilot program or

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Speaker 1: just trying and just in a very located well they've

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Speaker 1: done in California, they were they were doing it in

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Speaker 1: one town in California, and I know in Canada they

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Speaker 1: were doing it as well. I mean there are places

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Speaker 1: trying it, but I know even like yeah, like in

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Speaker 1: terms of actual like at the federal level, they're gonna

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Speaker 1: be like you get back to of work slaves. And

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Speaker 1: I mean that in the capitalistic sense, not you know,

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Speaker 1: antibellum sealth sense. Yeah, let's talk about the pink tachs

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Speaker 1: for women commuters. Yeah, this is really interesting. Well, there was, Yes,

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Speaker 1: I was perusing the usual news outlets and there was

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Speaker 1: a survey that had emerged about women who were commuting

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Speaker 1: in New York City and how they spend anywhere from

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Speaker 1: twenty five tollars more a month than their male counterparts

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Speaker 1: to specifically avoid encounters with gross men um and harassment.

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Speaker 1: And so according to the survey, there's some of the

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Speaker 1: stats they came up with, and I'll there are some

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Speaker 1: caveats that we'll have you keep in mind when I

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Speaker 1: after I read these. But seventy percent of female respondent

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Speaker 1: said they had experienced harassment or theft on public transportation,

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Speaker 1: compared with forty seven percent of men um and they

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Speaker 1: responded differently. Of women said they don't take public transportation

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Speaker 1: late at night because of it, compared with eight percent

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Speaker 1: of male respondents. Uh, And they spent differently as well,

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Speaker 1: where of women said they felt safest taking for higher

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Speaker 1: vehicles like uber lift uh and just fi said they

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Speaker 1: felt best on public transit. And you know, a few

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Speaker 1: things to keep in mind about this survey. It was

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Speaker 1: done online. And even they themselves a people who did

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Speaker 1: the survey, they're like, our results are a little lopsided

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Speaker 1: because more than like I think seven year eight percent

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Speaker 1: were college educated people, and a lot of them were

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Speaker 1: upper West Side people, so red whiter richer than normal,

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Speaker 1: which and they know that, but they're still saying, which

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Speaker 1: begs the question, even for the people who did the survey,

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Speaker 1: what of those people who don't have the flexibility or

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Speaker 1: the access to alternative modes of transportation? You know what,

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Speaker 1: what are their lives like? And you know what, what

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Speaker 1: can the city do to improve this? So you know, uh,

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Speaker 1: women are putting the place to have to overspend to

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Speaker 1: avoid toxic male culture on the streets. Oh man, I mean,

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Speaker 1: as one of the only Los Angeles commuters who does

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Speaker 1: not own a car. Uh yeah, I mean I've never

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Speaker 1: lived in New York, but I've lived in Boston, n

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Speaker 1: l A. And there reaches a witching hour where you

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Speaker 1: especially if you're alone, you just like can't be on

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Speaker 1: the train by yourself, or if you are which like

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Speaker 1: I've been in the position where I couldn't afford an

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Speaker 1: uber or like you have to just be careful and

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Speaker 1: make sure you don't fall asleep or like have your

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Speaker 1: card down, or My thing was always like I don't

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Speaker 1: want to be the only person in a train car

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Speaker 1: with one other person and it's usually a man, and

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Speaker 1: if it's late at night, you just don't know if

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Speaker 1: you're alone in a car, So sometimes it would be

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Speaker 1: either that I would like hop cars to find other people,

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Speaker 1: or I mean there's all sorts of like shitty strategies

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Speaker 1: you have to employ to feel less nervous after a

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Speaker 1: certain time. Usually, Yeah, in Japan they have like women

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Speaker 1: only train cars because like there's a lot of you know,

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Speaker 1: kung as they call it in Japanese, of just perverts

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Speaker 1: who like you know, growp women on the train. And

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Speaker 1: then yeah, rush because people pack the trains. They'll have

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Speaker 1: of cars that are just for women, or like women

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Speaker 1: with their kids, just so they're not they don't have

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Speaker 1: to deal with like any possibility of that. And like

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Speaker 1: in the people who are behind this survey were also saying,

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Speaker 1: you know, there are many things that any transportation or

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Speaker 1: public transit system can do, like having more staff be

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Speaker 1: visible in areas so like people feel more protected, or

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Speaker 1: training staff to understand like how to deal with this

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Speaker 1: kind of thing, or even more generally, have more women

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Speaker 1: working in these organizations so they can actually bring the

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Speaker 1: you know, their experiences or the realities of what all

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Speaker 1: kinds of commuters experience into the actual like implementation of

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Speaker 1: these systems or whatever. I saw a dick on the

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Speaker 1: bus last week. Man and there's but but it was

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Speaker 1: dealt with so well by a female bus driver who

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Speaker 1: there I was sitting seat over, but there was someone who,

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Speaker 1: you know, just felt the name took his dig out.

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Speaker 1: It was literally one in the afternoon on a packed

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Speaker 1: bus and on the two which goes down sunset, and

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Speaker 1: woman sitting next to me was just like she like

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Speaker 1: saw it, registered it, and then just yelled like parness.

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Speaker 1: And then the bus driver lady was like did someone

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Speaker 1: take their dick out? And everyone was like yes, and

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Speaker 1: then she was like get him off the bus. And

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Speaker 1: then there was a guy who was like, Okay, you

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Speaker 1: need to get off the bus. And it was dealt

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Speaker 1: with relatively swiftly thanks to citizen justice. Everyone was looking

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Speaker 1: out for each other. They're like, there's a dick out,

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Speaker 1: let's get a dick off. The bus could have been

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Speaker 1: much worse. That's so great because that's clearly not what

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Speaker 1: he was looking for. It was like so business like

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Speaker 1: and swift. You know he was there. So what do

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Speaker 1: you think it was a person like mentally ill or

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Speaker 1: do you think he was just a pervert. It seemed

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Speaker 1: like there was something going on and it wasn't like

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Speaker 1: he was like handled violently, but they just got him

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Speaker 1: off the bus. But it's that it's like the commuter

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Speaker 1: mentality that I think is interesting that this study is

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Speaker 1: finally being done because you have to just like any

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Speaker 1: commuter of any gender has to just develop the like

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Speaker 1: mentality of like this could happen at any moment. And

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Speaker 1: the woman who who the woman who yelled penis, the

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Speaker 1: woman who cried penis. Uh. The second he was off

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Speaker 1: the bus just like went back to reading her book.

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Speaker 1: She's like studying fortests something to say something. He she

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Speaker 1: just is like reading. I don't know. She would back

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Speaker 1: to reading whatever she was reading. I was like, all right,

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Speaker 1: we should start a Hall of Fame of just everyday

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Speaker 1: fucking heroes. Show that woman would be the first inductee. Again,

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Speaker 1: see something to say something. I mean this, I think

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Speaker 1: this is like you said, there's an inherent bias, but

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Speaker 1: it just shows Yeah, I mean, I imagine how that

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Speaker 1: is in any other city, because I mean I lived

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Speaker 1: in New York for eight years. The subways are not

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Speaker 1: just only men because all the women can afford to

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Speaker 1: take cars everywhere. Like it's it's just those women are

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Speaker 1: in a really shitty situation. Um, well, they said It's

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Speaker 1: even worse if you're a breadwinner or you're you're the

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Speaker 1: caretaker within your family, because then you have your kids

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Speaker 1: to also consider, and that can factor into like avoiding

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Speaker 1: certain modes of transportation to children. And then and then

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Speaker 1: imagine on top of that, like just for people who

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Speaker 1: don't have the you know, again, the money to be

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Speaker 1: like you know what, I'm gonna take a cap or

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Speaker 1: over you know, like uptown or whatever, think about whatever,

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Speaker 1: think about rent. I mean, like, you know, you have

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Speaker 1: a whole host of you know, living options that aren't

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Speaker 1: available to you, right like because you know, you don't

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Speaker 1: want to live in a building that doesn't have, you know,

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Speaker 1: certain things that make you feel safe. So you don't

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Speaker 1: want to live in a building where the laundry room

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Speaker 1: is in like a basement with one swinging light bulb

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Speaker 1: blah blah. And then even when swinging, it's always swing.

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Speaker 1: And but then even if you're in an uber or

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Speaker 1: left there's so many studies that even that is not

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Speaker 1: historically super safe for women either. So it's just like,

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Speaker 1: you know, which is why we're pro open carry here

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Speaker 1: at the days, Like you should be able to drink

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Speaker 1: a beer wherever you want That's exactly what I meant.

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Speaker 1: Crazy ship was happening in the Los Angeles just all

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Speaker 1: up and down California over the weekend. Uh, you know,

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Speaker 1: particularly in the city of Thousand Oaks, where they were

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Speaker 1: just you know, processing a mass shooting at a nightclub

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Speaker 1: that Miles used to go sneak into when he was

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Speaker 1: under age, and that you know, it was still like

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Speaker 1: a extremely fresh wound. And then a wildfire like ripped

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Speaker 1: through that same town. But just all up and down

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Speaker 1: California there were again, you know, I remember I think

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Speaker 1: it was last year wildfires happened that had people firefighters

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Speaker 1: and climate experts and everybody being like, this is unprecedented,

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Speaker 1: but this is the new normal because of climate change.

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Speaker 1: And now you know, we're seeing yet another. This is

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Speaker 1: going to be the biggest wildfire in the history of

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Speaker 1: the state of California. Um, this one is It wasn't

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Speaker 1: the last one, the biggest one. Yeah, it just keeps

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Speaker 1: getting Yeah, did you guys, did you guys see it?

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Speaker 1: So on Friday when I was leaving my house, I

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Speaker 1: like was just pulling out and it looked like there

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Speaker 1: was like a vulcan, like the only thing I've ever

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Speaker 1: seen like it is like footage of Mount St. Helen

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Speaker 1: because there was just this like column of ash just

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Speaker 1: going straight up in the air because the wildfire just

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Speaker 1: like I went from like not being there to being

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Speaker 1: like huge in the matter of an hour. So it

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Speaker 1: was just suddenly all the smoke was pouring into the

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Speaker 1: sky and by Saturday morning there was ash like snowing

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Speaker 1: from the sky, like on my neighborhood. So yeah, that's

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Speaker 1: pretty pretty crazy, and I think I think everybody was

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Speaker 1: dealing with that. Everybody. The air was terrible. I was,

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Speaker 1: I was just trying to do stuff on the weekend.

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Speaker 1: I had a bain mask on. I was riding a bike. Unrelated,

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Speaker 1: but you've never had that's true. I I was, Um, yeah,

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Speaker 1: it was then I fell on my bike. I know

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Speaker 1: that's outside story. I'm not meaning to make it about me,

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Speaker 1: but yeah, the fires, I mean, I found on my

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Speaker 1: bike and I heard my back. Um, if anyone has

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Speaker 1: any tips, let me know. But yeah, the like especially

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Speaker 1: there are parts of like Agora Hills. I have friends

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Speaker 1: whose family members lost their houses tragically out there, and yeah,

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Speaker 1: it looks like I mean people all over the area

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Speaker 1: suffered from these wildfires. And then you know, while Trump

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Speaker 1: was out in France disrespecting the Americans who lost their

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Speaker 1: lives in World War One and all the people who

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Speaker 1: lost their lives in World War One, he was like

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Speaker 1: just in his hotel room tweeting some ship like, well,

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Speaker 1: if these fires don't stop, I'm gonna I'm not gonna

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Speaker 1: give you all any more money. He was blaming California

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Speaker 1: firefighters for this, and also just one fact about that

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Speaker 1: the federal government manages of that, so the land and

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Speaker 1: the land where the fire started, So uh, smoke that

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Speaker 1: one for me. But uh yeah, it's making me wonder, like,

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Speaker 1: I don't know, how are people still openly behind this dude,

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Speaker 1: Like when a racist guy in the Midwest is like

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Speaker 1: saying to his wife, and I guess they're everywhere. Race

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Speaker 1: guy anywhere is like, you know, he's shipping on traditional

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Speaker 1: American heroes while they're fighting fires, like don't we have

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Speaker 1: to stop driving around to like his rallies, Like isn't

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Speaker 1: this like just against everything? The other thing that like

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Speaker 1: about this fire in particular was like there were a

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Speaker 1: lot of high profile, famous people affected by it, and

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Speaker 1: I was like, well, maybe he'll give a funk now

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Speaker 1: that fit because he doesn't give a funk about regular people.

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Speaker 1: Maybe he'll give a funk about it, but he just

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Speaker 1: doesn't give it. A lot of his critics too, he's like,

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Speaker 1: he's like Alissa, Alana's horses don't care. Yeah, Conservatives on Twitter,

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Speaker 1: like Mega Twitter was using this as an opportunity to

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Speaker 1: be like, ah, look at these triggered libs burning down.

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Speaker 1: Come on now. Yeah, it became sort of a political thing,

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Speaker 1: which Yarmo del Toro's museum house. Yeah, house never got

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Speaker 1: I think I believe it did. I mean, I know,

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Speaker 1: Anna Josie it was really affected because the Bachelor House

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Speaker 1: burned out, the Bachelor Mansion. She came in with a

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Speaker 1: fucking tattoo on her face the day had happened. I

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Speaker 1: was like, damn, that was quick. The West World set

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Speaker 1: like the old West Town where a bunch of Westerns,

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Speaker 1: but most recently the West World movie was probably was

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Speaker 1: set there now Deadwood like they they in the Dakota. No,

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Speaker 1: they built their own town, but it got torn down

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Speaker 1: fairly recently. But maybe they were shooting the West burned

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Speaker 1: down that other fire. Yeah there, But yeah, so West World,

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Speaker 1: they're gonna have to rebuild West World essentially. Um, and yeah,

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Speaker 1: Miley Syers's house burning. Yeah, a bunch of celebrities. Neil

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Speaker 1: Young's house burned down, two of the original Charmed members

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Speaker 1: and Holly Maery come Jesus, James and James Wood had

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Speaker 1: there was like all sorts of weird bipartisan celebrity Twitter

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Speaker 1: coming together with James Wood is like, we gotta save

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Speaker 1: these horses. And then they end up saving the horses.

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Speaker 1: And then I found out a horse hack. If there's

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Speaker 1: a fire and your horses are in danger, you spray

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Speaker 1: paint your phone number on them and then you let

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Speaker 1: them go. Horse hacks. Damn, that's really cool. Your horse

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Speaker 1: in trouble, that's what you do, did James Woods. James

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Speaker 1: Woods literally tweeted at Lissa allanna spray paint your phone

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Speaker 1: number on the horses and set them free. I was like, whoa,

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Speaker 1: because they just will have better instincts than our or

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Speaker 1: like just like waiting for someone to get there safe.

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Speaker 1: Which is funny because for him, Okay, he's Mr Magga himself. Yeah,

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Speaker 1: right for him to be like, I wonder what they

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Speaker 1: think too, Like, wouldn't he clap back on right wing

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Speaker 1: Twitter who like serves him? He's like, Hey, asshole this.

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Speaker 1: Uh yeah, Alissa Mallanna had a tweet out later like listen,

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Speaker 1: I needed horse tips. James Woods happened to be the

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Speaker 1: person who had the best horse. I'm sorry, I've been

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Speaker 1: horse hacked. Yeah, he also found a way to like

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Speaker 1: make it for some reason, the hashtag was like James

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Speaker 1: Wood fire started the fire, right, which is weird. There's

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Speaker 1: also some weird like Mad Max post apocalyptic ship with

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Speaker 1: Kim and Kanye like paid for a private fire battalion

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Speaker 1: to fight the fire in their neighborhood and like saved

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Speaker 1: a bunch of the houses in their neighborhood by hiring

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Speaker 1: these firefighters to stop the fire from catching onto their properties.

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Speaker 1: But so usually it's just really random, like we we

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Speaker 1: know all sorts of people who's I know people whose

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Speaker 1: houses burned down. I know people whose houses Super producer

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Speaker 1: Sophie was talking about a friend who's like house was

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Speaker 1: the only thing on the block that didn't burn down.

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Speaker 1: But it's like usually just completely random because there's like

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Speaker 1: these embers just sort of floating through the air, like

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Speaker 1: on your roof, and yeah, if it lands on the roof,

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Speaker 1: your house burns down. If it happens to like hit

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Speaker 1: a gust of wind at that moment, men and past

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Speaker 1: to your neighbors. Their house burns down. Damon Dash also

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Speaker 1: was a person whose house was the only one in

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Speaker 1: the neighborhood to not burn down like it was in

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Speaker 1: the photos were wild just like his home and the

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Speaker 1: curset earth. But up north in northern California, this town

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Speaker 1: called Paradise, which has just been a fucking factory of

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Speaker 1: shitty headlines about Paradise lust. But this town just was

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Speaker 1: not like that at all. It was just like scorchedirt.

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Speaker 1: The entire place burned down, like the entire town, And

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Speaker 1: if you look at footage from that, it's and all

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Speaker 1: the all the firefighters and wildfire experts are like, yeah,

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Speaker 1: this is not what's supposed to happen, Like you're supposed

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Speaker 1: to like fire goes where it's easiest frit to catch.

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Speaker 1: But this just like burned everything. Like when you look

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Speaker 1: at footage from there, it looks like the aftermath of

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Speaker 1: the terminator toation, especially when you have Trump again trying

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Speaker 1: to weaponize it against like the state of California, when

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Speaker 1: people are losing their lives, it's just it's not leadership.

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Speaker 1: But I was I have a question. Is there like

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Speaker 1: a like a fucking black water for firefighters, mercenary firefighters, right, like,

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Speaker 1: like you go to a bar and you're like, hey,

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Speaker 1: like you find that old legend fire. I got a

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Speaker 1: fire that needs fighting. Yeah, I don't do that anymore.

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Speaker 1: He's like, I've got a million dollars, maybe one last job.

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Speaker 1: He's just out there saving saving Kanye's house called it's

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Speaker 1: called one last job. Sounds like a bad Clint Eastwood move. Yeah,

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Speaker 1: don't in the process. One of the nice things, um

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Speaker 1: that I heard in the in the followed of this

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Speaker 1: is that Airbnb was making encouraging people who lived just

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Speaker 1: outside evacuations and to make their homes open to people

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Speaker 1: who have been evacuated. So there has been largely placed

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Speaker 1: at least places of shelter um in the same for like,

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Speaker 1: there's like a big over the weekend, a bunch of

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Speaker 1: my friends took in animals from the area and or

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Speaker 1: like fostering animals and so right from the shelters that

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Speaker 1: had to be evacuated. Right yeah, yeah, So it's good

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Speaker 1: that people are taking care of each other, but fucking

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Speaker 1: global warming. Also, be vigilant if you're in one of

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Speaker 1: those situations, because we interviewed somebody who had a situation

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Speaker 1: like this happened to their town up in Canada, like

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Speaker 1: their entire town burned down and in the evacuation zones,

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Speaker 1: like all these like frauds, hucksters like poured in to

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Speaker 1: take advantage because anytime there's like an emergency, they know

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Speaker 1: people are vulnerable. They know that it's going to kind

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Speaker 1: of easy, just like financial ship and I think robbing

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Speaker 1: people and stuff like that. Um, yeah, so that's a bumber,

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Speaker 1: but it is good to hear that. I'm sure not

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Speaker 1: everyone is that way, so just yeah, just kidding. Don't

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Speaker 1: let anyone in your house, especially if they need shelter. Yeah,

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Speaker 1: all right, we're gonna take a quick break. We'll be

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Speaker 1: right back, and we're back. Well Papa John's, guys, smooth

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00:22:05,920 --> 00:22:12,119
Speaker 1: transition to Papa John's, because he's back. He's back. He's

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Speaker 1: legal trouble. He already to tie you with that fucking

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Speaker 1: headline a second time. He is back. Well, you know,

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00:22:21,400 --> 00:22:24,800
Speaker 1: we've been closely monitoring the downfall of Papa John's and

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00:22:24,880 --> 00:22:26,680
Speaker 1: I know there are people some someone came at me

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00:22:26,800 --> 00:22:30,600
Speaker 1: sideways on Twitter's like, actually, Papa John's is the best pizza.

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00:22:30,920 --> 00:22:34,439
Speaker 1: I strongly disagree, and I would check your blood sugar,

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00:22:34,480 --> 00:22:39,639
Speaker 1: sir ship is too sweet. Uh. And again look he

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00:22:39,720 --> 00:22:42,520
Speaker 1: said racist ship on the on his earnings call, using

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Speaker 1: the N word. He has he has hot, not the

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Speaker 1: person on Twitter. Papa John Schnatter is not his name,

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Speaker 1: right shattery or whatever. Mr sweat Bomb himself. You know,

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Speaker 1: he's he's just he's just a wag dude. And we've

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Speaker 1: been watching kind of laughing gleefully how his his business

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Speaker 1: been going down the tubes. But now it's gotten to

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Speaker 1: the point where the franchisees, the people who are you know,

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Speaker 1: have their own little Papa John's operation. They're trying to

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Speaker 1: get their living through this you know, cursed brand. They're

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Speaker 1: now like look, they're trying to lawyer up because they're like, okay, dude,

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Speaker 1: you fucked us over so bad, Like it's it's hurting

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Speaker 1: my business now because of the outward image that Mr

428
00:23:20,160 --> 00:23:23,760
Speaker 1: Papa has created. So now they are trying to say, like, yo,

429
00:23:23,840 --> 00:23:26,760
Speaker 1: what's good. We gotta do something because they're saying, what

430
00:23:27,080 --> 00:23:30,800
Speaker 1: sales plunged almost ten percent the last quarter, and the

431
00:23:31,160 --> 00:23:33,080
Speaker 1: like the parent company has been doing a lot like

432
00:23:33,119 --> 00:23:36,359
Speaker 1: of giving them like marketing budgets and other financial assistance

433
00:23:36,359 --> 00:23:38,800
Speaker 1: because they're kind of like, yeah, we know it's kind

434
00:23:38,800 --> 00:23:41,720
Speaker 1: of shitty right now. But I think now, I think

435
00:23:41,720 --> 00:23:43,880
Speaker 1: the lawyers are kind of being like, Okay, we're gonna

436
00:23:43,880 --> 00:23:45,919
Speaker 1: have to really figure something out here, Like, you know,

437
00:23:46,119 --> 00:23:50,920
Speaker 1: you need to explain something to him, because once he's

438
00:23:50,960 --> 00:23:53,800
Speaker 1: out and you're the board, you've like forced him out.

439
00:23:53,840 --> 00:23:57,520
Speaker 1: He's just costing you money at this right. Um. But

440
00:23:57,600 --> 00:24:00,119
Speaker 1: you know again, I I feel bad if you've know,

441
00:24:00,240 --> 00:24:02,160
Speaker 1: you had a business on your own and you had

442
00:24:02,320 --> 00:24:04,879
Speaker 1: your Papa John's, uh and doing all that. So you know,

443
00:24:04,960 --> 00:24:06,960
Speaker 1: I hope the parent company gives them what they need

444
00:24:07,080 --> 00:24:10,520
Speaker 1: or can find a way to keep them afloat or rebrand.

445
00:24:10,640 --> 00:24:13,360
Speaker 1: I don't know. Well, it's a bunch of like it's

446
00:24:13,359 --> 00:24:17,280
Speaker 1: all franchisees, right, So yeah, a lot of different people

447
00:24:17,680 --> 00:24:22,159
Speaker 1: who are small business owners who own individual Papa John's,

448
00:24:22,240 --> 00:24:27,679
Speaker 1: and they're getting screwed by this multi multi hundred millionaire,

449
00:24:28,040 --> 00:24:33,760
Speaker 1: sweaty cokehead alcoholic allegedly allegedly allegedly allegedly look at the photos,

450
00:24:34,160 --> 00:24:36,639
Speaker 1: start to go fund me to get a little signs

451
00:24:36,680 --> 00:24:40,000
Speaker 1: that say sucks, and then send them to the franchisees like, hey,

452
00:24:40,040 --> 00:24:43,680
Speaker 1: Papa john sucks. We get some pizza so I could

453
00:24:43,680 --> 00:24:48,400
Speaker 1: pay my rent. I'm a rebel Papa John's. Yeah, rennegade

454
00:24:48,480 --> 00:24:52,879
Speaker 1: Papa John's franchise e bitch there? Yeah, why had that

455
00:24:52,920 --> 00:24:56,359
Speaker 1: idea for free? I still want to look into how

456
00:24:56,440 --> 00:24:58,720
Speaker 1: Papa John's became so popular in the first place. I

457
00:24:58,720 --> 00:25:01,959
Speaker 1: think it's just the sugar. Is like, because America had

458
00:25:02,000 --> 00:25:04,840
Speaker 1: so much sugar in their blood. It was like everything

459
00:25:05,080 --> 00:25:06,919
Speaker 1: needed to have some sugar in it just to like

460
00:25:07,000 --> 00:25:09,240
Speaker 1: get back to base level, like the way a drug

461
00:25:09,280 --> 00:25:13,000
Speaker 1: addict needs to just get right, get get right by

462
00:25:13,040 --> 00:25:16,159
Speaker 1: having a couple of bumps. It's really bad. You never

463
00:25:16,160 --> 00:25:18,480
Speaker 1: had Papa John No, I didn't grow up near any though.

464
00:25:18,560 --> 00:25:21,560
Speaker 1: It was all They not really around in Boston. They

465
00:25:21,560 --> 00:25:24,560
Speaker 1: weren't around where I grew up. Yeah, we had Little

466
00:25:24,560 --> 00:25:27,680
Speaker 1: Caesars and we have Papa Ginos. We're more of a

467
00:25:27,800 --> 00:25:31,640
Speaker 1: ginosld is weird when it comes to fast food. It's

468
00:25:31,720 --> 00:25:34,280
Speaker 1: like it has like sort of its own universe. We

469
00:25:34,320 --> 00:25:38,400
Speaker 1: also don't have a lot of subways. We have d'angelos. Yeah, yeah,

470
00:25:38,520 --> 00:25:41,679
Speaker 1: d'El did they have the sub untied around? How does

471
00:25:41,680 --> 00:25:44,479
Speaker 1: it feel the sugar. All the guys just ripped and

472
00:25:44,560 --> 00:25:51,040
Speaker 1: you can kind of see their dicks and rotting. Can

473
00:25:51,080 --> 00:25:56,800
Speaker 1: I have less pupid hare in my tunas out? That's gross.

474
00:25:56,840 --> 00:26:00,760
Speaker 1: A watchdog group is trying to end something freak shakes

475
00:26:00,760 --> 00:26:03,040
Speaker 1: in the UK that I didn't even know about that

476
00:26:03,080 --> 00:26:06,040
Speaker 1: you told me about. Well you know, I didn't know

477
00:26:06,080 --> 00:26:09,200
Speaker 1: the term freak shake. But this group action on sugar.

478
00:26:09,520 --> 00:26:13,560
Speaker 1: They're trying to at the very least label like Ovary

479
00:26:13,560 --> 00:26:18,640
Speaker 1: sugary milkshakes. If not outright band, then Overly I'm sorry,

480
00:26:18,800 --> 00:26:23,800
Speaker 1: Ovary Overly sugarly, Ovary sugarly. The sweet taste of over

481
00:26:24,400 --> 00:26:26,680
Speaker 1: It's delicious and it's you know, it can't be replaced.

482
00:26:27,000 --> 00:26:30,400
Speaker 1: But yeah, these things they've leveled as freak shakes are

483
00:26:30,440 --> 00:26:32,560
Speaker 1: just things are like that are like a thousand plus

484
00:26:32,640 --> 00:26:35,639
Speaker 1: calorie milkshakes with like, you know, like ten times the

485
00:26:35,720 --> 00:26:38,520
Speaker 1: daily sugar you would need for a human being. So

486
00:26:38,720 --> 00:26:41,000
Speaker 1: one that they point out to is a place in

487
00:26:41,280 --> 00:26:44,439
Speaker 1: UK Toby carve A, And I could be saying that

488
00:26:44,480 --> 00:26:46,640
Speaker 1: all wrong because I've never been there, so it could

489
00:26:46,640 --> 00:26:48,600
Speaker 1: be Toby Carvey. I don't know, Holler, I mean my

490
00:26:48,680 --> 00:26:50,600
Speaker 1: mentions and shamed me. But they have a thing called

491
00:26:50,600 --> 00:26:55,080
Speaker 1: the Unicorn Freak Shake and it has calories as well

492
00:26:55,080 --> 00:26:57,720
Speaker 1: as over six times the recommended daily amount of sugar

493
00:26:57,760 --> 00:27:00,880
Speaker 1: for children, and I guess, so that's around thirty nine

494
00:27:00,880 --> 00:27:03,320
Speaker 1: tea spoons. And then they also called out the Five

495
00:27:03,320 --> 00:27:06,800
Speaker 1: Guys Banana and Chocolate Shake one thousand, seventy three calories

496
00:27:07,200 --> 00:27:10,240
Speaker 1: with the equivalent of sugar of more than four cans

497
00:27:10,280 --> 00:27:14,439
Speaker 1: of Coca cola. Now, yeah, well by comparison, right, So

498
00:27:14,440 --> 00:27:16,719
Speaker 1: they also uh in this article to talk about the

499
00:27:16,920 --> 00:27:22,400
Speaker 1: medium butterfinger Blizzard from d Q only has seven thirty calories. Okay,

500
00:27:24,440 --> 00:27:28,480
Speaker 1: the butterfinger Blizzard is like you're like control where they're like, see,

501
00:27:28,680 --> 00:27:31,120
Speaker 1: you could be as good as good for people as

502
00:27:31,160 --> 00:27:34,000
Speaker 1: the butterfinger Blizzard. I just you know, I like the

503
00:27:34,000 --> 00:27:36,359
Speaker 1: peanut Buster part fit to be honest. If I'm a

504
00:27:36,440 --> 00:27:39,879
Speaker 1: d Q getting my Q on that, what do the

505
00:27:39,880 --> 00:27:42,439
Speaker 1: peanut Buster it's just like a bunch of peanuts and sugar,

506
00:27:42,840 --> 00:27:45,720
Speaker 1: and it's just it's like soft serve with like hot

507
00:27:45,720 --> 00:27:48,520
Speaker 1: fudge and peanuts. If you like peanuts, you know that's

508
00:27:48,520 --> 00:27:51,040
Speaker 1: the way to do it. A big butterfinger blizzard, Big

509
00:27:51,080 --> 00:27:54,520
Speaker 1: buddy blizz guy, you know, I understand what they're trying

510
00:27:54,520 --> 00:27:56,679
Speaker 1: to do, because obviously for young kids, you can't be

511
00:27:56,720 --> 00:27:59,320
Speaker 1: giving a child that. But look, if I'm a fucking

512
00:27:59,359 --> 00:28:01,240
Speaker 1: weird adult and I'm just trying to act on my

513
00:28:01,320 --> 00:28:03,800
Speaker 1: childhood fantasies or my mom's like, you can have two

514
00:28:04,200 --> 00:28:07,040
Speaker 1: scoops of ice cream, you know what, Let me be

515
00:28:07,080 --> 00:28:09,720
Speaker 1: an adult and make those wild decisions for myself and

516
00:28:09,800 --> 00:28:12,760
Speaker 1: drink the two pound milkshake from McConnell's ice Cream. Well,

517
00:28:12,800 --> 00:28:14,480
Speaker 1: maybe they should come with like, you know how like

518
00:28:14,560 --> 00:28:17,040
Speaker 1: cigarettes have warnings on the war It's like they show

519
00:28:17,080 --> 00:28:20,160
Speaker 1: you a disease lung. Like what if they just show

520
00:28:20,200 --> 00:28:22,880
Speaker 1: you like the amount of sugar that is in there,

521
00:28:23,080 --> 00:28:25,920
Speaker 1: and then like what you'll look like after you drink it,

522
00:28:26,040 --> 00:28:29,640
Speaker 1: like just like a necrotizing toe from diabetes or something. Wait,

523
00:28:29,640 --> 00:28:32,560
Speaker 1: so you're saying sugar is bad for kids. I don't know.

524
00:28:33,119 --> 00:28:35,320
Speaker 1: We wait wait, we had it, and I'm fine. I

525
00:28:35,359 --> 00:28:37,800
Speaker 1: was gonna say action on sugar. It's just a description

526
00:28:37,840 --> 00:28:42,520
Speaker 1: of what my kids are like every day. All right, Yeah, sure,

527
00:28:43,400 --> 00:28:45,120
Speaker 1: I hear. That's a real thing. The kids, like, the

528
00:28:45,280 --> 00:28:47,840
Speaker 1: kids get real hopped up on their sugar. Huh yeah,

529
00:28:48,000 --> 00:28:50,280
Speaker 1: Well it's funny after actually Halloween. Like my friends who

530
00:28:50,320 --> 00:28:53,200
Speaker 1: have kids were posting videos of like their kids off

531
00:28:53,280 --> 00:28:57,080
Speaker 1: their fucking heads, and I was like, wow, I don't

532
00:28:57,120 --> 00:29:00,680
Speaker 1: want that at all. My son is still talking about

533
00:29:00,680 --> 00:29:05,080
Speaker 1: Halloween because he got like three lollipops the whole night

534
00:29:05,200 --> 00:29:10,800
Speaker 1: and was just like have all three like chain smoke

535
00:29:10,840 --> 00:29:12,960
Speaker 1: all three of them at the same time. There's something

536
00:29:13,040 --> 00:29:17,240
Speaker 1: like inherent to the human mind about like the appeal

537
00:29:17,240 --> 00:29:20,080
Speaker 1: of sugar, because he was handing out candy with me

538
00:29:20,120 --> 00:29:22,480
Speaker 1: and like couldn't let go of it, like she was

539
00:29:22,560 --> 00:29:31,520
Speaker 1: just like the kids had to like pry um. Anyways,

540
00:29:31,600 --> 00:29:36,400
Speaker 1: the war on sugar, that's probably like the health craze

541
00:29:36,480 --> 00:29:39,040
Speaker 1: of the future, or I mean already terrible. I mean

542
00:29:39,040 --> 00:29:43,840
Speaker 1: the amount to sugar we're eating or like just astronomic. Astronomical,

543
00:29:44,080 --> 00:29:47,000
Speaker 1: it's in everything to like things that you consider healthy,

544
00:29:47,080 --> 00:29:50,040
Speaker 1: like orange juice and bread and juice is really bad.

545
00:29:50,120 --> 00:29:52,960
Speaker 1: Orange juice has so much sugar in it, Like a

546
00:29:53,240 --> 00:29:56,000
Speaker 1: lot of juice, I mean, if orange juice is really

547
00:29:56,080 --> 00:29:58,320
Speaker 1: pulpy or at least getting fiber, but there's a lot

548
00:29:58,320 --> 00:30:00,880
Speaker 1: of fruit juice that's almost most, if not just as

549
00:30:00,920 --> 00:30:04,800
Speaker 1: bad as soda flavored sugar. Yeah, it's important to remember

550
00:30:04,880 --> 00:30:08,040
Speaker 1: that all fruits that we have currently, like people get

551
00:30:08,080 --> 00:30:12,600
Speaker 1: worried about genetically modified organisms, all of our fruits are

552
00:30:13,040 --> 00:30:16,400
Speaker 1: made in a lab to be like extra full of sugar.

553
00:30:16,640 --> 00:30:20,440
Speaker 1: They're just like specifically bread with other fruits. Until like

554
00:30:20,480 --> 00:30:25,080
Speaker 1: bananas used to look like tiny little birds. Yeah, they

555
00:30:25,080 --> 00:30:29,880
Speaker 1: looked exactly like tastes like caterpillar. But yeah, when you

556
00:30:29,960 --> 00:30:32,440
Speaker 1: look at what they originally looked like and what they

557
00:30:32,440 --> 00:30:34,600
Speaker 1: look like now, it's like, oh, these are all man

558
00:30:34,640 --> 00:30:38,200
Speaker 1: made things. And so orange juice is just like finding

559
00:30:38,440 --> 00:30:42,960
Speaker 1: a natural way to produce candy that's liquid. I remember

560
00:30:43,000 --> 00:30:45,720
Speaker 1: like when that whole like you know, years ago, and

561
00:30:45,760 --> 00:30:48,760
Speaker 1: they're like, just check how much sugars in your juice?

562
00:30:48,960 --> 00:30:50,640
Speaker 1: And I used to drink like naked juice all the

563
00:30:50,680 --> 00:30:53,200
Speaker 1: time and I looked. I'm like, man, there's no way this.

564
00:30:53,360 --> 00:30:59,960
Speaker 1: Oh my god, it was like mango. Oh. And also, yeah,

565
00:31:00,040 --> 00:31:04,440
Speaker 1: is reminding me of my horrible ad didction to Kern's nectars, Yes,

566
00:31:04,920 --> 00:31:10,760
Speaker 1: which is essentially like concentrate uncut And yeah, so what

567
00:31:10,920 --> 00:31:13,000
Speaker 1: I get bad headaches and I pass out every time

568
00:31:13,040 --> 00:31:16,200
Speaker 1: I drink. Katie, you grew up in southern California. You

569
00:31:16,240 --> 00:31:21,400
Speaker 1: know of current nectars yeah, curns. I mean I had

570
00:31:21,520 --> 00:31:25,000
Speaker 1: very like strict parents growing up, so like I don't

571
00:31:25,000 --> 00:31:28,800
Speaker 1: remember drinking all that much fruit juice. I remember like

572
00:31:29,360 --> 00:31:32,040
Speaker 1: I think mostly I got chocolate milk, which I don't

573
00:31:32,080 --> 00:31:34,320
Speaker 1: know if that's any better, right, you know, I'm the

574
00:31:34,360 --> 00:31:36,360
Speaker 1: same way like my mom. We didn't have I wed't

575
00:31:36,360 --> 00:31:37,960
Speaker 1: have soda or anything, so I would have to go

576
00:31:38,040 --> 00:31:40,280
Speaker 1: to my neighbor's house. Shout out to the Shrek family

577
00:31:40,760 --> 00:31:43,680
Speaker 1: not to be confused with the DreamWorks animation they had,

578
00:31:43,720 --> 00:31:46,440
Speaker 1: Like you know we didn't. It's just going to happen. Yeah,

579
00:31:46,440 --> 00:31:49,760
Speaker 1: it's going to confuse them. Yes, and Donkey was my

580
00:31:50,120 --> 00:31:53,480
Speaker 1: was their friends would hit them up for currns. Well no,

581
00:31:53,640 --> 00:31:56,320
Speaker 1: because they had like the Quincentral American sort of thing

582
00:31:56,320 --> 00:31:58,600
Speaker 1: where they had a refrigerator in the garage and it

583
00:31:58,720 --> 00:32:02,000
Speaker 1: was only just soda and ship. I was like, so

584
00:32:02,040 --> 00:32:05,320
Speaker 1: I would just go wild, like garage fridges and like

585
00:32:05,760 --> 00:32:08,600
Speaker 1: the bounty that they have. I don't know that's the thing, yo,

586
00:32:08,680 --> 00:32:12,680
Speaker 1: shout out to Americans. My grandpa had a garage fridge

587
00:32:12,880 --> 00:32:18,800
Speaker 1: and had like had fudge pops like and soda and candy,

588
00:32:19,800 --> 00:32:23,040
Speaker 1: cocaine and just all the best stuff everything, like a

589
00:32:23,160 --> 00:32:28,200
Speaker 1: human skull. It was amazing and when I was good,

590
00:32:28,240 --> 00:32:31,440
Speaker 1: we'd get to get have licks of the skull and

591
00:32:31,520 --> 00:32:34,760
Speaker 1: it was made of cocaine. So there there's a little

592
00:32:34,840 --> 00:32:39,440
Speaker 1: feud going on between the n r A and a

593
00:32:39,480 --> 00:32:43,120
Speaker 1: lot of people. Actually then has an enemy's list that

594
00:32:43,240 --> 00:32:48,960
Speaker 1: includes the American Bar Association, the a RP, and bon Jovi.

595
00:32:49,360 --> 00:32:53,400
Speaker 1: Yeah for sure, Yeah, no, for sure, even though he

596
00:32:53,480 --> 00:32:56,120
Speaker 1: had that song from young Guns, like I think that

597
00:32:56,200 --> 00:32:59,760
Speaker 1: they would be. I'm a literal young gun. But apparently

598
00:32:59,800 --> 00:33:03,560
Speaker 1: one of their biggest you know, their arch nemesis is

599
00:33:04,600 --> 00:33:09,000
Speaker 1: the field of medicine as a whole right. They do

600
00:33:09,080 --> 00:33:14,360
Speaker 1: research and so the American College of Physicians published a

601
00:33:14,400 --> 00:33:19,320
Speaker 1: position paper outlining the need to reduce firearm violence, which

602
00:33:19,360 --> 00:33:22,240
Speaker 1: they called a public health crisis that requires the nation's

603
00:33:22,720 --> 00:33:26,640
Speaker 1: immediate attention. And some of the steps that they recommended

604
00:33:27,000 --> 00:33:31,000
Speaker 1: UH were like public health approach, which would involve like

605
00:33:31,400 --> 00:33:35,600
Speaker 1: physicians counseling patients too. You know, if somebody's injured in

606
00:33:35,680 --> 00:33:40,120
Speaker 1: a gun incident, that like you would counsel them, Like

607
00:33:40,160 --> 00:33:42,000
Speaker 1: if a kid in a house gets to a gun,

608
00:33:42,440 --> 00:33:45,320
Speaker 1: then the physicians would be prepared with like statistics and

609
00:33:45,360 --> 00:33:48,760
Speaker 1: also like you know, be trained to help that person,

610
00:33:49,200 --> 00:33:52,520
Speaker 1: you know, make the right decision about leaving their guns

611
00:33:52,600 --> 00:33:56,320
Speaker 1: laying around where kids are playing. And they also suggested

612
00:33:56,440 --> 00:34:00,920
Speaker 1: some legislation, like, you know, some educational program and laws

613
00:34:01,000 --> 00:34:08,120
Speaker 1: prohibiting laws prohibiting convicted domestic violence offenders. That's such a

614
00:34:08,239 --> 00:34:10,640
Speaker 1: crazy thing because like one of the patterns you see

615
00:34:10,719 --> 00:34:14,839
Speaker 1: with these mass shooters, almost every single one has had

616
00:34:15,000 --> 00:34:18,480
Speaker 1: some issue either domestic violence or violence against women or

617
00:34:18,600 --> 00:34:23,600
Speaker 1: sexual assault. It's such a pattern, it's incredible. Yeah, but

618
00:34:23,640 --> 00:34:28,799
Speaker 1: what's that based on your research, Harvard doctor. That's like

619
00:34:28,880 --> 00:34:33,840
Speaker 1: their stances right, right, domestic violence victims need to be armed.

620
00:34:35,400 --> 00:34:37,320
Speaker 1: The only way to stop a bad guy with a

621
00:34:37,440 --> 00:34:40,800
Speaker 1: gun after doing domestic violence is domestic violence with a

622
00:34:40,880 --> 00:34:43,640
Speaker 1: gun before the bad guy with the gun. Oh god,

623
00:34:44,760 --> 00:34:46,200
Speaker 1: we're going to work it out for you guys in

624
00:34:46,320 --> 00:34:50,359
Speaker 1: a diagram. Yeah, we're gonna flowchart that one for you

625
00:34:50,400 --> 00:34:52,920
Speaker 1: and we'll put it up on our Instagram. But they

626
00:34:52,960 --> 00:34:55,920
Speaker 1: also tweeted out in addition to firing back, with an

627
00:34:56,040 --> 00:34:58,400
Speaker 1: article of their own that was based on no research.

628
00:34:58,880 --> 00:35:02,279
Speaker 1: Then a tweeted this. They tweeted an article that were like,

629
00:35:02,360 --> 00:35:06,680
Speaker 1: we wrote a paper, we can write words. Idiots. They

630
00:35:06,719 --> 00:35:11,120
Speaker 1: also tweeted that doctors should stay in their lane. Oh

631
00:35:11,239 --> 00:35:14,520
Speaker 1: I'm sorry, yes, what do they really wait to capture

632
00:35:14,520 --> 00:35:17,120
Speaker 1: the voice of a generation where the gun people? Why

633
00:35:17,120 --> 00:35:20,839
Speaker 1: don't you guys sit down in your little o rs,

634
00:35:21,000 --> 00:35:25,279
Speaker 1: with your with your little scrubs, do your little operations right.

635
00:35:25,400 --> 00:35:27,000
Speaker 1: We don't need you. And if I end up one

636
00:35:27,000 --> 00:35:30,920
Speaker 1: of your hospitals, don't fucking touch me. And the annoying

637
00:35:31,000 --> 00:35:35,040
Speaker 1: thing is that more infuriating thing is that it is

638
00:35:35,120 --> 00:35:40,200
Speaker 1: possible to kind of shoot holes speaking, I didn't mean

639
00:35:41,239 --> 00:35:44,000
Speaker 1: I'm gonna excuse me, my first I Tucker Carlson thing.

640
00:35:44,080 --> 00:35:49,839
Speaker 1: Now shots bits in the research paper because they're just

641
00:35:50,080 --> 00:35:55,640
Speaker 1: isn't that much research on gun control issues? And been chilled? Right,

642
00:35:57,160 --> 00:35:59,720
Speaker 1: it's been killed by the n r A. Chilled another

643
00:35:59,760 --> 00:36:07,840
Speaker 1: way of putting it a cooler you don't say killed. Yeah. Um,

644
00:36:07,880 --> 00:36:10,120
Speaker 1: just to touch on the whole thing, we've talked about this,

645
00:36:10,320 --> 00:36:12,280
Speaker 1: I mean, I feel like every time there's a shooting

646
00:36:12,320 --> 00:36:14,400
Speaker 1: and we we did a whole thing on like the

647
00:36:14,480 --> 00:36:16,920
Speaker 1: history of the n r A is just sordid behavior

648
00:36:17,000 --> 00:36:20,280
Speaker 1: and ship that they basically have made it so groups

649
00:36:20,320 --> 00:36:23,680
Speaker 1: like the c d C can do no meaningful research

650
00:36:24,080 --> 00:36:29,719
Speaker 1: to try and actually quantify and offer analysis on just

651
00:36:29,840 --> 00:36:34,000
Speaker 1: how dangerous gun ownership and gun crime is in this country.

652
00:36:34,000 --> 00:36:36,319
Speaker 1: So everyone's like, I don't know where your stats that

653
00:36:36,400 --> 00:36:39,880
Speaker 1: we have suppressed completely. We leave that to like private

654
00:36:39,960 --> 00:36:42,480
Speaker 1: organizations to try and do that, but we as you know,

655
00:36:42,480 --> 00:36:44,239
Speaker 1: the CDC could do them, you know, could do a

656
00:36:44,239 --> 00:36:46,480
Speaker 1: good job to anyway. So you know you have a

657
00:36:46,520 --> 00:36:51,080
Speaker 1: strong position when it's like, don't look into this. A

658
00:36:51,120 --> 00:36:53,680
Speaker 1: lot of doctors were, you know, saying, do you have

659
00:36:53,680 --> 00:36:56,360
Speaker 1: any idea how many bullets I pull out of corpses weekly?

660
00:36:56,480 --> 00:36:59,640
Speaker 1: This isn't just my lane, it's my fucking highway. Bro.

661
00:37:00,520 --> 00:37:02,560
Speaker 1: They didn't end it with bro, but it did say

662
00:37:02,600 --> 00:37:04,960
Speaker 1: it's not this isn't just my lane, it's my fucking highway.

663
00:37:05,120 --> 00:37:07,520
Speaker 1: Was the exactly, And they dropped a scalpel like a

664
00:37:07,640 --> 00:37:10,439
Speaker 1: mic exactly, but then it was on their food and there, Yeah,

665
00:37:12,000 --> 00:37:16,919
Speaker 1: damn it was cool. And you know, somebody said, hey

666
00:37:17,000 --> 00:37:18,760
Speaker 1: at n r A, I want to see my lane.

667
00:37:18,800 --> 00:37:20,960
Speaker 1: Here's the chair I sit in when I tell parents

668
00:37:21,080 --> 00:37:24,040
Speaker 1: their kids are dead. Oh my, how dare you tell me?

669
00:37:24,080 --> 00:37:27,640
Speaker 1: I can't research evidence based solutions? This is my lane,

670
00:37:27,640 --> 00:37:30,160
Speaker 1: this is our land. So I don't know I find

671
00:37:30,280 --> 00:37:33,440
Speaker 1: that fairly convincing. Yeah. I saw one where like they're

672
00:37:33,560 --> 00:37:37,240
Speaker 1: showing picture of their scrubs that was just like covered

673
00:37:37,280 --> 00:37:39,560
Speaker 1: in blood and like, hey, here's my lane, this is

674
00:37:39,800 --> 00:37:42,640
Speaker 1: my scrubs after treating a shooting victim who died on

675
00:37:42,680 --> 00:37:45,200
Speaker 1: the r Well, you know, I think they n r

676
00:37:45,280 --> 00:37:47,919
Speaker 1: A definitely sees that the clock is ticking in terms

677
00:37:47,920 --> 00:37:50,760
Speaker 1: of their influence, because it's already like even in Florida

678
00:37:50,800 --> 00:37:52,040
Speaker 1: they were able to get a lot of n are

679
00:37:52,040 --> 00:37:54,440
Speaker 1: A backed politicians out. I mean, they're still a very

680
00:37:54,480 --> 00:37:58,080
Speaker 1: powerful lobbying organization, but they're starting to get more like

681
00:37:58,360 --> 00:38:01,600
Speaker 1: flagrant with their red rick. I mean, like especially with

682
00:38:01,800 --> 00:38:03,479
Speaker 1: like that. I mean we started with all the Dana

683
00:38:03,560 --> 00:38:06,480
Speaker 1: lash stuff and even beyond that. But like, I don't know,

684
00:38:06,560 --> 00:38:09,720
Speaker 1: I think you can tell that they're seeing that America

685
00:38:09,800 --> 00:38:13,240
Speaker 1: is changing in a way that slowly kind of coming

686
00:38:13,280 --> 00:38:16,839
Speaker 1: against them. The only way to stop change in America

687
00:38:16,880 --> 00:38:21,920
Speaker 1: about guns is not change with a gun. Yeah, yeah, exactly.

688
00:38:22,760 --> 00:38:27,560
Speaker 1: Don't bring legislation to a gunfight, all right, Exactly. They're

689
00:38:27,600 --> 00:38:32,040
Speaker 1: so entrenched just in ways that I didn't realize at first.

690
00:38:32,080 --> 00:38:34,600
Speaker 1: But like all these like n r A clubs for

691
00:38:34,680 --> 00:38:37,920
Speaker 1: like high schoolers and like, you know, they teach the

692
00:38:37,960 --> 00:38:41,520
Speaker 1: classes on gun safety, so like they just have gun

693
00:38:41,719 --> 00:38:45,280
Speaker 1: the gun right exactly. So I don't know, I wouldn't

694
00:38:45,360 --> 00:38:47,400
Speaker 1: underestimate the n r A. So no I would, But

695
00:38:47,400 --> 00:38:49,960
Speaker 1: I think, you know, I think FedEx finally cut ties

696
00:38:50,000 --> 00:38:53,040
Speaker 1: with them like more businesses, and you know, it's taking time.

697
00:38:53,440 --> 00:38:55,799
Speaker 1: They're starting to realize like this wasn't the case five

698
00:38:55,840 --> 00:38:57,880
Speaker 1: years ago, right, So I think on a very at

699
00:38:57,880 --> 00:39:00,600
Speaker 1: the very least, on a continuum, you could say, I

700
00:39:00,640 --> 00:39:02,799
Speaker 1: feel like they're going to just like start lobbying to

701
00:39:02,960 --> 00:39:07,279
Speaker 1: like make doctors replace all their surgical instruments with gun like, well,

702
00:39:07,320 --> 00:39:10,160
Speaker 1: we're going to have to operate and aim very carefully

703
00:39:10,239 --> 00:39:13,440
Speaker 1: towards the AORDA, Like you need a background check for

704
00:39:13,480 --> 00:39:17,520
Speaker 1: that scalpel. Yeah, hey, it's been done before. The Listery

705
00:39:17,560 --> 00:39:20,440
Speaker 1: and invented gingervitis because they used to just be a

706
00:39:20,520 --> 00:39:25,440
Speaker 1: place where doctors would keep their surgical implements to like

707
00:39:25,520 --> 00:39:27,600
Speaker 1: soak them so they wouldn't have germs on them. And

708
00:39:27,640 --> 00:39:30,640
Speaker 1: then they were like, this is does not have a future.

709
00:39:30,840 --> 00:39:32,839
Speaker 1: Someone's going to invent something better. So they were like,

710
00:39:33,280 --> 00:39:37,160
Speaker 1: wash your mouth out with it. What that's what listering

711
00:39:37,320 --> 00:39:40,520
Speaker 1: comes from that. It was barbeside for doctors to barbecide

712
00:39:40,560 --> 00:39:43,759
Speaker 1: for doctors schools. So like when I just chucked that barbcide,

713
00:39:43,840 --> 00:39:48,320
Speaker 1: like that's okay, Yeah, that's fine. I was asking why

714
00:39:48,520 --> 00:39:53,680
Speaker 1: the freshest of breath? Yeah, but quickly, have you ever

715
00:39:53,719 --> 00:39:58,320
Speaker 1: had original listery and the My grandpa used to switch

716
00:39:58,400 --> 00:40:00,400
Speaker 1: that ship around, remember when it was four years Like,

717
00:40:00,480 --> 00:40:02,920
Speaker 1: burn my fucking tongue off. It just doesn't even like

718
00:40:03,000 --> 00:40:05,319
Speaker 1: it doesn't even taste like it's supposed to go in

719
00:40:05,360 --> 00:40:09,280
Speaker 1: the mouth. It's like nail polished, removing what's your favorite

720
00:40:09,320 --> 00:40:14,160
Speaker 1: nail polish? Moving to drink? Oh, definitely, like just the fancy.

721
00:40:14,239 --> 00:40:20,880
Speaker 1: It's cheap, chap get. We're not trying to it's not Friday. Alright,

722
00:40:20,960 --> 00:40:23,520
Speaker 1: We're gonna take a quick break. We'll be right back

723
00:40:31,360 --> 00:40:36,040
Speaker 1: and we're back alright. Nick dropped that conspiracy music because

724
00:40:36,840 --> 00:40:40,720
Speaker 1: Fox has not tweeted. Fox has not tweeted in five

725
00:40:40,880 --> 00:40:46,040
Speaker 1: days following a long ass meeting between Rupert Murdoch and

726
00:40:46,760 --> 00:40:50,960
Speaker 1: someone down well actually technically six and if at the

727
00:40:51,000 --> 00:40:52,919
Speaker 1: time of this recording will be six days, it could

728
00:40:52,920 --> 00:40:56,000
Speaker 1: possibly be a whole fucking week that they haven't tweeted,

729
00:40:56,719 --> 00:41:00,960
Speaker 1: and their explanation is it's a protest used against Twitter's

730
00:41:01,040 --> 00:41:06,920
Speaker 1: handling of Tucker Carlson's lie from last week. Yeah, pretty

731
00:41:07,000 --> 00:41:09,920
Speaker 1: much didn't take his lie seriously enough. Yeah, they they

732
00:41:09,960 --> 00:41:12,200
Speaker 1: said it was they were they wanted to stay silent

733
00:41:12,200 --> 00:41:16,000
Speaker 1: while protesting how quote Twitter handled posts targeting Tucker Carlson,

734
00:41:16,200 --> 00:41:19,440
Speaker 1: specifically ones that included his address. Interesting, he does that

735
00:41:19,480 --> 00:41:21,960
Speaker 1: on his website all the time, though, I wonder, I wonder, yeah,

736
00:41:22,680 --> 00:41:26,759
Speaker 1: Mr Doxo over here things to say about maybe he

737
00:41:26,760 --> 00:41:29,800
Speaker 1: should stop that too, right, But and then other people

738
00:41:29,800 --> 00:41:32,400
Speaker 1: were like, you know, Drudge deleted all his tweets, but

739
00:41:32,480 --> 00:41:36,080
Speaker 1: that's like Rudge, right, So there are a lot of

740
00:41:36,120 --> 00:41:40,080
Speaker 1: conspiracies swirling, you know, because they noticed other accounts hadn't

741
00:41:40,120 --> 00:41:43,160
Speaker 1: done anything like recently to like wiki leaks had gone dark,

742
00:41:43,239 --> 00:41:47,799
Speaker 1: and Rudy Giuliani's thing and the one that was very

743
00:41:47,840 --> 00:41:49,799
Speaker 1: interesting to me, which is why we have a little

744
00:41:49,800 --> 00:41:51,600
Speaker 1: bit of a conspiracy here. This is left wing Q

745
00:41:51,760 --> 00:41:53,960
Speaker 1: and un ship. Yeah exactly. Someone said, I think I

746
00:41:54,000 --> 00:41:58,240
Speaker 1: know what's up now, just figure out way to start

747
00:41:58,280 --> 00:42:00,759
Speaker 1: that post, my man. Well, woman, I don't know who

748
00:42:00,840 --> 00:42:03,480
Speaker 1: this person was, but it says I've decided what's going on.

749
00:42:03,840 --> 00:42:05,920
Speaker 1: It says u s attorneys do not just work on

750
00:42:06,000 --> 00:42:09,240
Speaker 1: national holidays. Murdoch is meeting with McConnell at his office.

751
00:42:09,280 --> 00:42:12,480
Speaker 1: Matt Drudge has deleted his Twitter account. Not true. Wiki

752
00:42:12,560 --> 00:42:15,879
Speaker 1: leaks is silent. I suspect that Mueller has confiscated all

753
00:42:15,920 --> 00:42:19,080
Speaker 1: of their accounts with a court order. Rupert meeting with

754
00:42:19,160 --> 00:42:22,520
Speaker 1: Mitch on a holiday can only mean one thing. Something

755
00:42:22,560 --> 00:42:25,960
Speaker 1: big is about to happen, very very big. It could

756
00:42:26,000 --> 00:42:30,239
Speaker 1: be a Mueller press conference. Would that be that big? Yeah?

757
00:42:30,360 --> 00:42:33,200
Speaker 1: Jesus Christ. Well, somebody was saying that yet recently that

758
00:42:33,320 --> 00:42:35,279
Speaker 1: like one of the smart ways he's played his hand

759
00:42:35,360 --> 00:42:38,640
Speaker 1: is that he's been completely silent. You haven't heard his voice.

760
00:42:38,680 --> 00:42:42,160
Speaker 1: He could come out and be like, hey guys, yeah,

761
00:42:41,719 --> 00:42:44,640
Speaker 1: like the first time you heard David Beckham talk. Uh,

762
00:42:44,640 --> 00:42:46,160
Speaker 1: And it says you know what I think it's going

763
00:42:46,200 --> 00:42:48,160
Speaker 1: to be. As I said back in March, I think

764
00:42:48,239 --> 00:42:50,839
Speaker 1: Mueller is filing a Rico case against all of them.

765
00:42:51,080 --> 00:42:53,759
Speaker 1: Might just get hit with a Rico fight me. What

766
00:42:53,840 --> 00:42:56,880
Speaker 1: a weird way to end that, right, Like the first sentences,

767
00:42:56,920 --> 00:42:58,920
Speaker 1: I think I know what's up now. Yeah, it ends

768
00:42:58,920 --> 00:43:01,359
Speaker 1: with fight me, fight me. I think I think this

769
00:43:01,400 --> 00:43:04,080
Speaker 1: person also knows it's kind of stupid, but I hope.

770
00:43:04,160 --> 00:43:07,919
Speaker 1: I think it's definitely some fantasy. So this that we've said,

771
00:43:07,960 --> 00:43:10,680
Speaker 1: you've blocked out their their name, it says added five

772
00:43:10,680 --> 00:43:14,960
Speaker 1: new photos, right, like is it? Like here's Muller and

773
00:43:15,000 --> 00:43:19,280
Speaker 1: here he is airport, and here here's here's here's attorney,

774
00:43:19,280 --> 00:43:22,560
Speaker 1: Here's here's the holiday. Here's what the holiday is. Right,

775
00:43:23,040 --> 00:43:26,400
Speaker 1: here's a picture of a cacar that is a quote

776
00:43:26,520 --> 00:43:30,359
Speaker 1: holiday the day s Mitch McConnell would never meet with

777
00:43:30,440 --> 00:43:33,680
Speaker 1: someone on Veteran's Day. That if there's one thing we

778
00:43:33,800 --> 00:43:37,560
Speaker 1: know about Mitch McConnell, it's this completely arbitrary thing I

779
00:43:37,680 --> 00:43:40,799
Speaker 1: just made up. Yeah, I mean this seems like it's

780
00:43:40,840 --> 00:43:45,520
Speaker 1: reaching I I do think the Mueller silence has people

781
00:43:45,680 --> 00:43:48,279
Speaker 1: kind of wondering what's what's going to happen, because he

782
00:43:48,640 --> 00:43:53,480
Speaker 1: had gone quiet for the election, supposedly, and there were

783
00:43:53,600 --> 00:43:56,960
Speaker 1: a lot of different people talking about that he might

784
00:43:57,040 --> 00:43:59,719
Speaker 1: be doing some things behind the scenes, getting ready to

785
00:44:00,160 --> 00:44:05,160
Speaker 1: indict various people here jor d J t G d

786
00:44:05,280 --> 00:44:08,319
Speaker 1: J t J. But there's been nothing. So I think

787
00:44:08,719 --> 00:44:11,080
Speaker 1: certain people on the left are getting a little anti

788
00:44:12,000 --> 00:44:16,040
Speaker 1: I think they're they're probably more indictments coming, you know, Yeah, yeah,

789
00:44:16,400 --> 00:44:19,239
Speaker 1: I think so. I mean, he's like everyone, I just

790
00:44:19,280 --> 00:44:21,080
Speaker 1: don't know, we're going to get hit with that fucking

791
00:44:21,160 --> 00:44:24,600
Speaker 1: Puerto Rico. Oh, I don't know, right, Like, I mean,

792
00:44:24,800 --> 00:44:26,920
Speaker 1: this is all I mean, the fact that Muller is

793
00:44:26,920 --> 00:44:29,160
Speaker 1: so quiet, he's just he's just a serious man. Yes,

794
00:44:29,360 --> 00:44:31,640
Speaker 1: he did his job seriously and he saw what ken

795
00:44:31,760 --> 00:44:33,680
Speaker 1: Star did. It's like it's like, don't make He's like

796
00:44:33,880 --> 00:44:36,320
Speaker 1: the less people know, the less they can fucking obscure

797
00:44:36,400 --> 00:44:38,319
Speaker 1: what's going on. You. No, I'm going to do my job,

798
00:44:38,480 --> 00:44:40,320
Speaker 1: and I like, I've never smiled in my life, and

799
00:44:40,320 --> 00:44:42,840
Speaker 1: I'm going to keep that up for this look like

800
00:44:42,960 --> 00:44:45,960
Speaker 1: that eagle from the Muppets, and everyone is so so

801
00:44:46,239 --> 00:44:49,480
Speaker 1: like set and obsessed with the idea that like Mueller's

802
00:44:49,480 --> 00:44:53,359
Speaker 1: gonna fix everything, and like he's gonna like Bannon's gonna

803
00:44:53,520 --> 00:44:56,600
Speaker 1: be executed like I saw, like Louise Mention tweet like

804
00:44:57,520 --> 00:44:59,359
Speaker 1: she like heard from a source that he's like going

805
00:44:59,400 --> 00:45:03,040
Speaker 1: to be executed something unbelievable. Uh, And so like you're

806
00:45:03,120 --> 00:45:06,919
Speaker 1: hinging all all your hopes on the results of this investigation,

807
00:45:07,040 --> 00:45:09,120
Speaker 1: because it does seem like it's the only way to

808
00:45:09,200 --> 00:45:11,600
Speaker 1: get rid of him. Yeah, we're still live in hell

809
00:45:11,680 --> 00:45:13,799
Speaker 1: world after this. Yeah, it's still gonna be a hell

810
00:45:13,840 --> 00:45:18,319
Speaker 1: world until somebody does something electorally to eat all this. Yeah,

811
00:45:18,360 --> 00:45:22,319
Speaker 1: if my god, like I love the desperation though, if

812
00:45:22,360 --> 00:45:24,080
Speaker 1: some people who just want the nightmare to be over,

813
00:45:24,200 --> 00:45:26,680
Speaker 1: we all wanted to be over. Okay, look, but let's

814
00:45:26,719 --> 00:45:29,080
Speaker 1: be real, this is not even if the what he

815
00:45:29,480 --> 00:45:32,800
Speaker 1: has like really just shows lays bare. Like all of

816
00:45:32,880 --> 00:45:36,120
Speaker 1: the transgressions of this campaign is administration. It's only going

817
00:45:36,200 --> 00:45:38,279
Speaker 1: to pour more fuel on the fire, and you're going

818
00:45:38,320 --> 00:45:40,320
Speaker 1: to see the right get even more wacky and be

819
00:45:40,400 --> 00:45:44,320
Speaker 1: like they're stealing everything. Right, it's all like thinking that

820
00:45:44,440 --> 00:45:46,160
Speaker 1: this is going to solve anything just means you haven't

821
00:45:46,160 --> 00:45:48,759
Speaker 1: been paying attention for three years, right, Like what he

822
00:45:48,840 --> 00:45:51,479
Speaker 1: gets away with, what he wants to do, what people

823
00:45:51,560 --> 00:45:54,080
Speaker 1: let him get away with, and how people react to

824
00:45:54,239 --> 00:45:56,440
Speaker 1: him just being like I didn't say that, I didn't

825
00:45:56,440 --> 00:45:58,960
Speaker 1: do it. It's all it's all the deep state, Like, yeah,

826
00:45:59,040 --> 00:46:00,600
Speaker 1: it's not gonna and like this, we don't even care

827
00:46:00,640 --> 00:46:04,960
Speaker 1: about the pe tape anymore. I know, I think, I

828
00:46:05,000 --> 00:46:06,680
Speaker 1: mean I don't know. I don't care about it because

829
00:46:06,680 --> 00:46:09,239
Speaker 1: I know it's real, and like, you know, what are

830
00:46:09,239 --> 00:46:11,040
Speaker 1: you gonna do. We're gonna watch You're gonna not watch it,

831
00:46:11,080 --> 00:46:12,839
Speaker 1: We're gonna see it. We're gonna see it. Doesn't matter.

832
00:46:13,680 --> 00:46:15,520
Speaker 1: They had their window to drop the pe tape. They

833
00:46:15,560 --> 00:46:18,120
Speaker 1: missed it, right, they missed it, And now it's gonna

834
00:46:18,239 --> 00:46:20,840
Speaker 1: do horribly on the charts. It'll be like Chinese democracy.

835
00:46:20,960 --> 00:46:23,920
Speaker 1: It'll come out way too late once nobody cares anymore,

836
00:46:24,080 --> 00:46:29,840
Speaker 1: and it will be all poorly produced and all right, well, guys,

837
00:46:30,520 --> 00:46:32,799
Speaker 1: I have to move on to this next story, because boy,

838
00:46:32,880 --> 00:46:35,719
Speaker 1: do I have egg on my face. This is the

839
00:46:36,000 --> 00:46:38,759
Speaker 1: on my face. This is the last time I put

840
00:46:38,840 --> 00:46:41,840
Speaker 1: my good name on the line to support Tucker Carlson.

841
00:46:43,440 --> 00:46:45,960
Speaker 1: I didn't know I was doing that. I just came

842
00:46:46,000 --> 00:46:49,759
Speaker 1: out as anti intimidating his children. But I got a

843
00:46:49,840 --> 00:46:53,160
Speaker 1: lot of feedback from people who suggested I was team

844
00:46:53,200 --> 00:46:57,560
Speaker 1: Tucky babies after last week's episode. I do talk team

845
00:46:57,640 --> 00:47:00,360
Speaker 1: team talk. I do stand by the fact that we

846
00:47:00,360 --> 00:47:04,160
Speaker 1: shouldn't physically intimidate the loved ones of even war criminals,

847
00:47:04,920 --> 00:47:09,800
Speaker 1: but especially their kids. But you're not saying avoid direct

848
00:47:09,920 --> 00:47:13,000
Speaker 1: action against people like Tucker Carlson, and I think the

849
00:47:13,080 --> 00:47:16,200
Speaker 1: way you saw this story too, was the version where

850
00:47:16,400 --> 00:47:20,320
Speaker 1: people were getting like wilding out. Yeah, right. And I

851
00:47:20,400 --> 00:47:23,200
Speaker 1: think I'm also biased against this sort of thing because

852
00:47:23,200 --> 00:47:25,920
Speaker 1: I grew up in a small town where my dad

853
00:47:26,000 --> 00:47:28,320
Speaker 1: was a basketball coach and like a bunch of people

854
00:47:28,520 --> 00:47:30,399
Speaker 1: when the team was really bad, like came and put

855
00:47:30,520 --> 00:47:33,000
Speaker 1: for sale signs on our front lawn and stuff, and

856
00:47:33,080 --> 00:47:34,800
Speaker 1: that was kind of scary to be, like, Oh, people

857
00:47:34,880 --> 00:47:37,960
Speaker 1: who hate us want us to leave. What do you

858
00:47:38,040 --> 00:47:44,640
Speaker 1: get like a really good offer though on your house? Ye? Like,

859
00:47:44,840 --> 00:47:48,560
Speaker 1: I get that it's intimidation, but it was a hot market.

860
00:47:48,600 --> 00:47:51,600
Speaker 1: I mean, where did they get all these signs? But anyways,

861
00:47:51,680 --> 00:47:54,200
Speaker 1: as I should have guessed, it turns out this whole

862
00:47:54,239 --> 00:47:56,919
Speaker 1: thing was Tucker Carlson looking for an excuse to get

863
00:47:57,080 --> 00:48:02,880
Speaker 1: his base of voice supremacists fired up about the coming

864
00:48:03,280 --> 00:48:09,400
Speaker 1: totally unfair anti white supremacist battle. Because there's no evidence

865
00:48:09,480 --> 00:48:11,759
Speaker 1: of any damage to any door. That was kind of

866
00:48:12,000 --> 00:48:15,719
Speaker 1: the point that people were focused on, and that I

867
00:48:16,160 --> 00:48:20,080
Speaker 1: thought was sort of suggested that the behavior was a

868
00:48:20,120 --> 00:48:25,279
Speaker 1: little more violent than would be optimal, that they had

869
00:48:25,320 --> 00:48:27,719
Speaker 1: like cracked his front door. That was something that he

870
00:48:27,880 --> 00:48:30,719
Speaker 1: came out and claimed that they had cracked the door

871
00:48:30,880 --> 00:48:34,200
Speaker 1: by like beating on it, and people have found the

872
00:48:34,200 --> 00:48:37,399
Speaker 1: police reports from the incident, and you know, you would

873
00:48:37,440 --> 00:48:42,080
Speaker 1: expect them to focus on the main thing, the broken door,

874
00:48:42,200 --> 00:48:44,680
Speaker 1: the fact that they broke the door, but nope, nothing,

875
00:48:44,880 --> 00:48:47,400
Speaker 1: It was the spray paint of an anarchy symbol in

876
00:48:47,520 --> 00:48:50,719
Speaker 1: the driveway. I think that they were And they also

877
00:48:50,800 --> 00:48:54,880
Speaker 1: had those people who protested. They brought legal observers on

878
00:48:54,960 --> 00:48:57,080
Speaker 1: their behalf to be like just so you know, we

879
00:48:57,160 --> 00:48:59,359
Speaker 1: have people here who are who are here for receipts

880
00:49:00,360 --> 00:49:02,560
Speaker 1: of what happened here. Yeah, so it seems like it

881
00:49:02,680 --> 00:49:06,640
Speaker 1: was more well planned and less out of control than

882
00:49:07,280 --> 00:49:10,960
Speaker 1: I thought. So I am going back. I will no

883
00:49:11,120 --> 00:49:14,120
Speaker 1: longer be wearing my bow tie in solidarity with Tucker

884
00:49:14,200 --> 00:49:18,360
Speaker 1: Carlson and yeah that guy. Yeah, I still stand by

885
00:49:18,400 --> 00:49:21,280
Speaker 1: the fact that I don't think we should intimidate children

886
00:49:21,400 --> 00:49:24,560
Speaker 1: of Adolf Hitler even right, But you know what that was.

887
00:49:24,680 --> 00:49:27,319
Speaker 1: But the thing is that wasn't happening, right, So that's

888
00:49:27,360 --> 00:49:29,480
Speaker 1: the thing that we get what you're saying, Jack, And

889
00:49:29,719 --> 00:49:32,520
Speaker 1: you're uncancelled. And now I will speak to you when

890
00:49:32,520 --> 00:49:34,640
Speaker 1: we're both in the bathroom, okay, I mean when we

891
00:49:34,760 --> 00:49:36,839
Speaker 1: were both in the bay, you know, yeah, you can

892
00:49:36,880 --> 00:49:41,840
Speaker 1: get back to regular program. The one person Bathy, Okay,

893
00:49:42,480 --> 00:49:44,359
Speaker 1: well what were you gonna say? Oh? Just I think

894
00:49:44,480 --> 00:49:48,520
Speaker 1: like like people complain about the um like McConnell's at

895
00:49:48,560 --> 00:49:51,600
Speaker 1: arrest on you're like, yeah, we don't like you and boot.

896
00:49:52,200 --> 00:49:55,680
Speaker 1: I think that's good because that's non violent, not like

897
00:49:55,920 --> 00:49:59,840
Speaker 1: it's mild harassment maybe at worse, but it's like the

898
00:50:00,080 --> 00:50:03,919
Speaker 1: to form a protest, So as long as you're not yeah,

899
00:50:03,960 --> 00:50:07,960
Speaker 1: I mean I agree, like don't attack children. But like

900
00:50:08,080 --> 00:50:11,600
Speaker 1: if you're just protesting, like the actual dude, and if

901
00:50:11,680 --> 00:50:14,400
Speaker 1: they're in public and you're like, hey, you suck, you know,

902
00:50:14,680 --> 00:50:18,560
Speaker 1: or like organizing a protest outside their office. Um. I

903
00:50:18,600 --> 00:50:21,400
Speaker 1: remember one like I think, oh, what's her name? The

904
00:50:21,480 --> 00:50:28,640
Speaker 1: one who was like not mccaskell, um, Sarah sus No.

905
00:50:29,000 --> 00:50:33,600
Speaker 1: The one like remember with the child separations, Kirsten Nielsen.

906
00:50:33,640 --> 00:50:36,120
Speaker 1: That's that's when outside of her home they're playing the

907
00:50:36,160 --> 00:50:40,360
Speaker 1: sounds of like children crying from like a child literally

908
00:50:41,000 --> 00:50:44,080
Speaker 1: her children crying no no no, um yeah, the the

909
00:50:44,200 --> 00:50:47,560
Speaker 1: children crying that were in the facilities that had been separated,

910
00:50:47,600 --> 00:50:50,000
Speaker 1: And to me, that is like like you were bringing

911
00:50:50,080 --> 00:50:53,279
Speaker 1: the suffering to them. Direct, and that's that is a

912
00:50:53,360 --> 00:50:56,839
Speaker 1: good protest. So I think that that it's just it's

913
00:50:56,880 --> 00:50:59,319
Speaker 1: not black and white. It's not like never protests them

914
00:50:59,440 --> 00:51:01,920
Speaker 1: at their home, never protest them out in public. I

915
00:51:02,000 --> 00:51:04,840
Speaker 1: think it's just like, yeah, don't don't cross their families,

916
00:51:04,960 --> 00:51:08,359
Speaker 1: but you know, protests. And even if her children were

917
00:51:08,840 --> 00:51:12,200
Speaker 1: scared by hearing that, like she was literally causing that,

918
00:51:12,440 --> 00:51:16,160
Speaker 1: so like they should you know, have to she should

919
00:51:16,200 --> 00:51:19,439
Speaker 1: have to answer some uncomfortable questions. Don't put your family

920
00:51:19,520 --> 00:51:22,320
Speaker 1: at risk by being a fucking racist? How about that?

921
00:51:22,640 --> 00:51:24,560
Speaker 1: Is that simple? You know what I mean? Yeah, and

922
00:51:24,800 --> 00:51:28,400
Speaker 1: you don't know what you're doing and know what like yeah, anyway,

923
00:51:28,560 --> 00:51:30,520
Speaker 1: And part of my concern is also that it like

924
00:51:30,920 --> 00:51:33,480
Speaker 1: is a bad look if you are like trying to

925
00:51:33,520 --> 00:51:36,560
Speaker 1: beat down someone's door while their families inside in there

926
00:51:36,560 --> 00:51:40,680
Speaker 1: at work. But obviously that wasn't what's happening. And also

927
00:51:40,960 --> 00:51:44,200
Speaker 1: just on his kids and his wife's behalf, there's no

928
00:51:44,480 --> 00:51:47,360
Speaker 1: chance that they don't fucking hate him, like they definitely

929
00:51:47,400 --> 00:51:49,680
Speaker 1: hate tu well, like anyone like anyone who has a

930
00:51:49,760 --> 00:51:53,160
Speaker 1: dad who wears a bow tie. Yeah, yeah, wait to

931
00:51:53,200 --> 00:51:54,960
Speaker 1: their teenagers and you're like, well, can we go to

932
00:51:55,200 --> 00:51:57,600
Speaker 1: like Rick sauce. Like, no, dude, his dad tuckers a

933
00:51:57,680 --> 00:52:02,120
Speaker 1: fucking stude. He doesn't even have a garage. Oh no,

934
00:52:02,239 --> 00:52:05,160
Speaker 1: he's got a garage deep freeze. Probably his fridge is

935
00:52:05,239 --> 00:52:09,279
Speaker 1: full of mayonnaise and Brussels Prose mayonnaise and rock Star

936
00:52:09,440 --> 00:52:12,879
Speaker 1: energy drink, which they blend together in a freak shake.

937
00:52:14,280 --> 00:52:18,240
Speaker 1: Let's talk about the last week in the world of Trump.

938
00:52:18,560 --> 00:52:22,759
Speaker 1: He went to France to commemorate the fallen soldiers of

939
00:52:22,840 --> 00:52:27,080
Speaker 1: World War One with other leaders and just took multiple

940
00:52:27,200 --> 00:52:30,879
Speaker 1: els left and right. Yes, just I mean, good god,

941
00:52:31,120 --> 00:52:34,320
Speaker 1: I'm like he was stepping on rake after rake like

942
00:52:34,520 --> 00:52:38,880
Speaker 1: sideshow Bob to Willer. Yeah, so, you know we we

943
00:52:39,160 --> 00:52:41,880
Speaker 1: sort of briefly mentioned this yesterday, but there was a

944
00:52:41,960 --> 00:52:44,520
Speaker 1: moment for him to go visit the cemetery where there

945
00:52:44,640 --> 00:52:48,239
Speaker 1: fifty thou American soldiers being that were laid there to rest,

946
00:52:48,760 --> 00:52:51,359
Speaker 1: and he basically gave the excuse like, oh, the weather

947
00:52:51,520 --> 00:52:53,560
Speaker 1: is too bad. And then people are like, what the

948
00:52:53,719 --> 00:52:56,440
Speaker 1: funk are you? You wouldn't even go see American falling?

949
00:52:56,719 --> 00:52:59,839
Speaker 1: What do you mean? And he's like, well, it was actually, uh,

950
00:53:00,000 --> 00:53:01,680
Speaker 1: the motorcad wouldn't be able to get there, and then

951
00:53:01,719 --> 00:53:04,799
Speaker 1: he blamed the Secret Service about the helicopter not being win.

952
00:53:05,360 --> 00:53:07,799
Speaker 1: All this to say is that he didn't want people

953
00:53:07,840 --> 00:53:11,160
Speaker 1: to see his wet hair look because that would have

954
00:53:11,360 --> 00:53:15,600
Speaker 1: you would have seen the secrets of his scalp. Oh yeah,

955
00:53:16,040 --> 00:53:19,759
Speaker 1: I think the like as terrible looking as he normally is.

956
00:53:19,920 --> 00:53:22,880
Speaker 1: I think Trump with his hair drive versus Trump with

957
00:53:22,960 --> 00:53:26,160
Speaker 1: his hair wet would be like a raccoon with their

958
00:53:26,200 --> 00:53:30,520
Speaker 1: hair drive versus like a hairless is like the scariest

959
00:53:30,560 --> 00:53:33,279
Speaker 1: looking thing you've ever seen, like a wet mouse. Yeah,

960
00:53:34,239 --> 00:53:36,239
Speaker 1: well it would just look Yeah, because he's doing so

961
00:53:36,320 --> 00:53:38,680
Speaker 1: many tricks, you know, there's not enough product you can

962
00:53:38,719 --> 00:53:41,840
Speaker 1: put in there. When when Mother Earth starts spitting karma

963
00:53:41,920 --> 00:53:45,600
Speaker 1: on your scalp, it's a very delicately like a symbol

964
00:53:46,400 --> 00:53:51,040
Speaker 1: feat of physics and like any momentum downwards. That's why,

965
00:53:51,160 --> 00:53:54,080
Speaker 1: like wind, he doesn't win. He doesn't like anything that

966
00:53:54,200 --> 00:53:56,880
Speaker 1: reveals anyway. So that was a huge Yeah. And did

967
00:53:56,960 --> 00:53:59,600
Speaker 1: he like throw his Secret Service under the bus? Yeah,

968
00:53:59,640 --> 00:54:02,960
Speaker 1: he was, like they told me, the people who like

969
00:54:03,200 --> 00:54:06,080
Speaker 1: they can't say anything bad about the president and they

970
00:54:06,239 --> 00:54:08,480
Speaker 1: risked their lives to protect him. It's like, oh, they

971
00:54:08,640 --> 00:54:10,239
Speaker 1: didn't want me to be a bunch of assholes. I

972
00:54:10,400 --> 00:54:15,440
Speaker 1: can't believe these anti scureholes, these bunch of paper knicks.

973
00:54:17,120 --> 00:54:19,880
Speaker 1: So then there was a ceremony at the Arc du

974
00:54:19,960 --> 00:54:24,640
Speaker 1: Triomphe where many people spoke, but Macron Emmanuel McCrone specifically

975
00:54:25,320 --> 00:54:28,200
Speaker 1: fucking shaded the ship out of our boy President Trump

976
00:54:28,480 --> 00:54:30,960
Speaker 1: when he basically said he's like that nationalism is a

977
00:54:31,000 --> 00:54:33,960
Speaker 1: betrayal of patriotism, and like people were like, oh shit,

978
00:54:35,120 --> 00:54:37,239
Speaker 1: I think we know who he's talking about. And that

979
00:54:37,440 --> 00:54:40,960
Speaker 1: left him very upset to and then when he brought

980
00:54:41,000 --> 00:54:43,480
Speaker 1: his stinking orange asked back to d C. He couldn't

981
00:54:43,480 --> 00:54:47,200
Speaker 1: even visit Arlington to lay a wreath on Veterans Day

982
00:54:47,360 --> 00:54:51,560
Speaker 1: here for the soldiers at Arlington National semar Was there

983
00:54:51,560 --> 00:54:55,040
Speaker 1: a fog though, No, I think that was a weather

984
00:54:55,200 --> 00:55:00,600
Speaker 1: thing too. Yeah, yeah, And you're like, what the fuck?

985
00:55:00,760 --> 00:55:02,920
Speaker 1: You can't even do you think the military he's so

986
00:55:03,040 --> 00:55:05,320
Speaker 1: all about honoring the troops or whatever with his like

987
00:55:05,520 --> 00:55:09,160
Speaker 1: flag kneeling nonsense and national anthem and the jam like

988
00:55:09,280 --> 00:55:12,480
Speaker 1: the jingoistic But I think that just shows you that

989
00:55:12,680 --> 00:55:16,200
Speaker 1: there's actual no values there. It's just they just weaponize

990
00:55:16,200 --> 00:55:19,400
Speaker 1: certain things to begin to like win a rhetorical argument

991
00:55:19,760 --> 00:55:22,520
Speaker 1: and again, I have to believe that people are seeing

992
00:55:22,600 --> 00:55:25,839
Speaker 1: this right, Like people have to see like if if

993
00:55:25,920 --> 00:55:29,480
Speaker 1: Obama had skipped out on going to Arlington on Veterans

994
00:55:29,600 --> 00:55:33,800
Speaker 1: Day or skipped a like honoring of fallen American troops,

995
00:55:33,920 --> 00:55:38,800
Speaker 1: like Fox News would just show a him burning in

996
00:55:38,880 --> 00:55:42,800
Speaker 1: effigy like one of those you old tide lug streams,

997
00:55:43,280 --> 00:55:45,479
Speaker 1: like for two weeks straight. That's like all they would

998
00:55:45,480 --> 00:55:49,640
Speaker 1: show lu Dobbs would have the worst hemorrhoids ever and

999
00:55:49,800 --> 00:55:52,520
Speaker 1: just be screaming with red, white and blue streaming out

1000
00:55:52,560 --> 00:55:54,480
Speaker 1: of his face. Yes, I don't know why I thought that,

1001
00:55:54,600 --> 00:55:56,239
Speaker 1: but that's just what I saw my head. But do

1002
00:55:56,560 --> 00:55:58,560
Speaker 1: you think like some I feel like a lot of

1003
00:55:58,640 --> 00:56:03,920
Speaker 1: his supporters they will overlook things like that to an

1004
00:56:04,120 --> 00:56:07,200
Speaker 1: uncanny degree. Or it's just like like, you know, I'm

1005
00:56:07,239 --> 00:56:10,359
Speaker 1: sure he means to because a lot of the there's

1006
00:56:10,360 --> 00:56:13,319
Speaker 1: a lot of like with political posturing. As long as

1007
00:56:13,400 --> 00:56:16,320
Speaker 1: you can kind of get people to buy that you

1008
00:56:16,719 --> 00:56:19,560
Speaker 1: you are on their side, like you can sort of

1009
00:56:19,760 --> 00:56:22,160
Speaker 1: like be like, oh, you know, of course I love

1010
00:56:22,239 --> 00:56:25,319
Speaker 1: the troops, blah blah blah. But it's like all very superficial.

1011
00:56:25,440 --> 00:56:28,600
Speaker 1: He hasn't even gone overseas a crazy thing. He hasn't

1012
00:56:28,600 --> 00:56:32,320
Speaker 1: even gone to Iraq or Afghanistan or anywhere that American

1013
00:56:32,360 --> 00:56:35,760
Speaker 1: troops are stationed overseas. And like, if you think about

1014
00:56:36,120 --> 00:56:38,440
Speaker 1: what would be the thing that he likes the best,

1015
00:56:38,520 --> 00:56:40,680
Speaker 1: it's like a good photo op where he's coming down

1016
00:56:40,719 --> 00:56:42,960
Speaker 1: off their Force one, there's a bunch of troops, they're

1017
00:56:43,000 --> 00:56:46,040
Speaker 1: saluting him, there's a bunch of you know, horns playing,

1018
00:56:46,160 --> 00:56:49,600
Speaker 1: or whatever the funk he's into. And he still has

1019
00:56:49,680 --> 00:56:51,920
Speaker 1: not gone to visit the troops because he doesn't give

1020
00:56:51,960 --> 00:56:56,480
Speaker 1: a fun because scared doesn't want to where it's just

1021
00:56:56,520 --> 00:56:58,560
Speaker 1: because he doesn't want to wear a flak jacket, because

1022
00:56:58,600 --> 00:57:01,120
Speaker 1: can you imagine him with a flak jacket on. I

1023
00:57:01,200 --> 00:57:04,320
Speaker 1: think he would love to wear flat jackets and be

1024
00:57:04,400 --> 00:57:08,680
Speaker 1: like look how cool I look. But he's I guarantee

1025
00:57:08,719 --> 00:57:11,239
Speaker 1: it's got it's got to be cowardice because like he

1026
00:57:11,360 --> 00:57:15,759
Speaker 1: will go anywhere for a dope. His own personal Vietnam, Yeah,

1027
00:57:16,880 --> 00:57:21,800
Speaker 1: within women's vaginas, it was like it like my own

1028
00:57:21,840 --> 00:57:24,040
Speaker 1: personal Vietnam was I mean when I was in the

1029
00:57:24,600 --> 00:57:30,560
Speaker 1: offensive Battle of the Bulge. Yeah, But you know, all

1030
00:57:30,640 --> 00:57:33,320
Speaker 1: of this criticism I think basically got him to a

1031
00:57:33,400 --> 00:57:37,080
Speaker 1: point where we all know what Trump does when criticisms

1032
00:57:37,120 --> 00:57:39,800
Speaker 1: get too hot. He pivots by just tweeting out a

1033
00:57:39,880 --> 00:57:43,000
Speaker 1: bunch of wacky ship and gets people talking about everything,

1034
00:57:43,080 --> 00:57:45,440
Speaker 1: not about his utter disrespect or lack of respect for

1035
00:57:45,480 --> 00:57:47,160
Speaker 1: the troops. And we also know he just has kind

1036
00:57:47,200 --> 00:57:49,240
Speaker 1: of a hostile relationship with the military to begin with,

1037
00:57:49,280 --> 00:57:51,640
Speaker 1: because remember when he argued with the nom vets about

1038
00:57:51,680 --> 00:57:55,600
Speaker 1: agent orange and like he thought the differences between napalm

1039
00:57:55,680 --> 00:57:59,400
Speaker 1: and agent orange and he was using Yeah, he's like

1040
00:57:59,480 --> 00:58:02,680
Speaker 1: that was a good like that he blocked like that

1041
00:58:03,240 --> 00:58:06,720
Speaker 1: veterans group on Twitter, I think because they corrected him.

1042
00:58:06,840 --> 00:58:10,320
Speaker 1: Yeah yeah about a scene in a movie about Vietnam. Yeah,

1043
00:58:10,320 --> 00:58:12,000
Speaker 1: well he doesn't believe it. But anyway, so he had

1044
00:58:12,040 --> 00:58:15,480
Speaker 1: to do his classic Twitter pivot, and so he just

1045
00:58:15,680 --> 00:58:20,160
Speaker 1: went in on France and my crown and everything and anyone.

1046
00:58:20,280 --> 00:58:23,160
Speaker 1: So first he said, a man who Macron suggest building

1047
00:58:23,200 --> 00:58:25,439
Speaker 1: its own army to protect Europe against the US, China

1048
00:58:25,440 --> 00:58:27,640
Speaker 1: and Russia. But it was Germany and World Wars one

1049
00:58:27,680 --> 00:58:30,520
Speaker 1: and two. How that worked out for France. They were

1050
00:58:30,520 --> 00:58:32,800
Speaker 1: starting to learn German in Paris before the US came along.

1051
00:58:33,000 --> 00:58:37,160
Speaker 1: Pay for NATO or not? Okay, Abe Simpson with your

1052
00:58:37,200 --> 00:58:41,680
Speaker 1: hot take on French defeats in the world wars. Yeah,

1053
00:58:42,000 --> 00:58:46,840
Speaker 1: cheese eating surrender monkeys, yeah, Willie, but yeah, and so

1054
00:58:47,080 --> 00:58:49,800
Speaker 1: that was like, Okay, then he goes and goes on trade.

1055
00:58:50,160 --> 00:58:52,760
Speaker 1: France makes excellent wine, but so does the US. The

1056
00:58:52,840 --> 00:58:54,840
Speaker 1: problem is that France makes it very hard for the U.

1057
00:58:54,960 --> 00:58:57,560
Speaker 1: S S. So it's wine into France and charges big

1058
00:58:57,720 --> 00:59:01,080
Speaker 1: tariffs capitalized team, where the U. S makes it easy

1059
00:59:01,160 --> 00:59:04,000
Speaker 1: for French wines and charges very small tariffs with a

1060
00:59:04,080 --> 00:59:08,520
Speaker 1: capital T. Again, not fair, must change. Okay, really, why

1061
00:59:08,600 --> 00:59:11,919
Speaker 1: you hung up on wine? He doesn't even drink wine.

1062
00:59:12,040 --> 00:59:14,160
Speaker 1: I know he has a winery, though, I know what

1063
00:59:14,360 --> 00:59:17,440
Speaker 1: is that? Wasn't Trump wine like a Trump He hasn't winery.

1064
00:59:17,520 --> 00:59:19,560
Speaker 1: That was the thing he talked to the press about

1065
00:59:19,720 --> 00:59:24,680
Speaker 1: after his Charlottesville speech. He he was like, I know

1066
00:59:24,680 --> 00:59:26,760
Speaker 1: about Charlottesville. I'll tell you abou Charlttesville. I have one

1067
00:59:26,760 --> 00:59:30,280
Speaker 1: of the biggest wine where in the state people died.

1068
00:59:30,520 --> 00:59:33,640
Speaker 1: Have a winery. I've got the biggest mushroom shaped winery

1069
00:59:33,680 --> 00:59:37,880
Speaker 1: you've ever seen. Yes, So that was another odd weird

1070
00:59:38,000 --> 00:59:40,560
Speaker 1: thing where it's like from all the US wine makers,

1071
00:59:40,640 --> 00:59:44,000
Speaker 1: it seems like the tariffs that China is putting on

1072
00:59:44,240 --> 00:59:46,720
Speaker 1: us wines is a much bigger problem than the French

1073
00:59:46,760 --> 00:59:49,120
Speaker 1: ones that they've been dealing with forever. And plus, like

1074
00:59:49,480 --> 00:59:51,760
Speaker 1: you think French people are going to drink Carlo Rossie

1075
00:59:51,840 --> 00:59:55,000
Speaker 1: or some ship like what the fun Like they they

1076
00:59:55,120 --> 00:59:58,040
Speaker 1: have their their booty wine figured out whatever they drink

1077
00:59:58,520 --> 01:00:01,200
Speaker 1: their ship wine. Uh so that was another odd thing.

1078
01:00:01,520 --> 01:00:03,320
Speaker 1: And then he goes, oh, by the way, this is

1079
01:00:03,360 --> 01:00:06,240
Speaker 1: another treat. But by the way is how it's by

1080
01:00:06,280 --> 01:00:08,600
Speaker 1: the way. When the helicopter couldn't fly into the first

1081
01:00:08,680 --> 01:00:12,720
Speaker 1: cemetery in France because of almost zero visibility, I suggested driving.

1082
01:00:12,880 --> 01:00:15,800
Speaker 1: Secret service said no, too far from airport, and big

1083
01:00:15,840 --> 01:00:18,840
Speaker 1: pairs shut down speech next day at American Cemetery and

1084
01:00:18,920 --> 01:00:23,920
Speaker 1: pouring rain. Little reported fake news. Also, a literal pilot

1085
01:00:23,920 --> 01:00:25,760
Speaker 1: who store for the White House chimed in, was like,

1086
01:00:26,200 --> 01:00:28,480
Speaker 1: I looked at all the weather stuff and the protocols

1087
01:00:28,560 --> 01:00:30,840
Speaker 1: we have for like you know, like taking a helicopter

1088
01:00:30,920 --> 01:00:33,520
Speaker 1: into it. They are not even close to meeting those things.

1089
01:00:33,920 --> 01:00:37,840
Speaker 1: So find a new angle. Yeah, he's It's just there's

1090
01:00:37,880 --> 01:00:41,320
Speaker 1: a lot going on. I mean, the Mueller probe might

1091
01:00:41,640 --> 01:00:45,920
Speaker 1: indict one of Roger Stone's homeboys. We heard I think

1092
01:00:48,000 --> 01:00:51,040
Speaker 1: that this thing looking into some kind of collusion with

1093
01:00:51,400 --> 01:00:54,600
Speaker 1: the Trump campaign in Russia to maybe sway the election

1094
01:00:54,680 --> 01:00:56,480
Speaker 1: in his way. I don't know, it's some kind of thing,

1095
01:00:56,720 --> 01:00:59,880
Speaker 1: uh they talk about on CNN. It's weird just ex

1096
01:01:00,000 --> 01:01:06,520
Speaker 1: experiencing this uh news cycle like firsthand. It's just strange

1097
01:01:06,600 --> 01:01:08,960
Speaker 1: to like sit back and think that we are currently

1098
01:01:09,120 --> 01:01:13,960
Speaker 1: at the top moment of constitutional crisis right now post

1099
01:01:14,080 --> 01:01:16,400
Speaker 1: the firing of Jeff Sessions. Right now there's a guy

1100
01:01:16,440 --> 01:01:18,400
Speaker 1: in charge of the Mueller investigation who can like cut

1101
01:01:18,440 --> 01:01:21,000
Speaker 1: off funding right and they like, isn't there a problem

1102
01:01:21,120 --> 01:01:23,240
Speaker 1: with the procedure on that, Like it was supposed to

1103
01:01:23,280 --> 01:01:27,480
Speaker 1: be Rosenstein And now like I know Maryland, the state

1104
01:01:27,520 --> 01:01:30,160
Speaker 1: of Maryland is suing to be Like it actually has

1105
01:01:30,200 --> 01:01:32,000
Speaker 1: to be. There's a clever thing because they have a

1106
01:01:32,080 --> 01:01:34,600
Speaker 1: lawsuit involved whe Jeff Sessions is named as a defendant

1107
01:01:34,920 --> 01:01:36,960
Speaker 1: and now that he's no longer acting a G at

1108
01:01:37,000 --> 01:01:39,880
Speaker 1: d o J, they're like, well, it can't be this guy,

1109
01:01:40,400 --> 01:01:42,760
Speaker 1: So just for our legal purposes, it has to be

1110
01:01:42,880 --> 01:01:46,800
Speaker 1: Rod Rosenside. There's many angles for Mr. Old Whittaker to

1111
01:01:46,920 --> 01:01:49,320
Speaker 1: not be a G. But then there's also like more

1112
01:01:49,360 --> 01:01:52,480
Speaker 1: stories like how Kirsty Nielsen is probably on her way

1113
01:01:52,520 --> 01:01:55,360
Speaker 1: out at Homeland Security. Good riddance, but who knows what

1114
01:01:55,520 --> 01:01:59,760
Speaker 1: kind of weird aryan monster they're gonna put into that position.

1115
01:02:00,480 --> 01:02:05,160
Speaker 1: Uh And then also National Security Council Deputy John Bolton's

1116
01:02:05,160 --> 01:02:09,000
Speaker 1: like right hand this woman mirror Ricardel. They say she's

1117
01:02:09,000 --> 01:02:10,960
Speaker 1: on the way out because she's been button heads with

1118
01:02:11,120 --> 01:02:15,280
Speaker 1: Milannia Trump button heads. Yeah, and in addition to that,

1119
01:02:15,360 --> 01:02:17,600
Speaker 1: they're even grumblings that Kelly was on his way out.

1120
01:02:17,640 --> 01:02:19,480
Speaker 1: But then there was a story about how Kelly was

1121
01:02:19,600 --> 01:02:22,360
Speaker 1: also a butting heads with Milannia and that could be

1122
01:02:22,400 --> 01:02:25,200
Speaker 1: a reason. But maybe it looks like this uh NSC

1123
01:02:25,400 --> 01:02:28,960
Speaker 1: person could take the fault. It seems like it's a house.

1124
01:02:29,280 --> 01:02:32,680
Speaker 1: I just like I'm skeptical of it being Milannia's fault.

1125
01:02:32,800 --> 01:02:34,960
Speaker 1: I feel like that's sort of a cover story to

1126
01:02:35,760 --> 01:02:39,840
Speaker 1: make up for the chaos and contention within the White House,

1127
01:02:39,880 --> 01:02:44,600
Speaker 1: because it's like Milannia doesn't like, Yeah, she's probably you know,

1128
01:02:44,800 --> 01:02:48,000
Speaker 1: having she's having her period and she's like upset. So

1129
01:02:48,000 --> 01:02:50,760
Speaker 1: I guess we're going to get rid of Kelly. Yeah,

1130
01:02:51,120 --> 01:02:58,480
Speaker 1: well the country, this is a hot White House. But no,

1131
01:02:58,560 --> 01:03:03,880
Speaker 1: they were saying that conflict between Mr Ricardel and Milannia

1132
01:03:03,920 --> 01:03:07,600
Speaker 1: happened when she went to Africa and did her she

1133
01:03:07,760 --> 01:03:14,160
Speaker 1: was wearing the helmet. Yeah, the colonizers like colonizer chic. Yeah,

1134
01:03:15,480 --> 01:03:17,240
Speaker 1: she knows that she's doing and if not, you know,

1135
01:03:17,440 --> 01:03:21,280
Speaker 1: great love ignorance. Uh. Apparently they were like there was

1136
01:03:21,280 --> 01:03:23,840
Speaker 1: an argument over seating on the plane over there, and

1137
01:03:23,920 --> 01:03:27,880
Speaker 1: there requests to use National Security Council resources and then

1138
01:03:28,000 --> 01:03:30,800
Speaker 1: like that the first Lady's team, I guess told the

1139
01:03:30,880 --> 01:03:35,040
Speaker 1: President that they thought that this nsc aid for John

1140
01:03:35,080 --> 01:03:38,160
Speaker 1: Bolden was like a leaker and that was the reason

1141
01:03:38,200 --> 01:03:40,720
Speaker 1: why there were some bad stories coming out about Milannia.

1142
01:03:41,360 --> 01:03:43,680
Speaker 1: So yeah, I like how in this story in the

1143
01:03:43,680 --> 01:03:46,480
Speaker 1: Wall Street Journal that they say, uh, they suspect Mr

1144
01:03:46,920 --> 01:03:50,040
Speaker 1: m Ricardell is behind some negative stories about Miss Trump

1145
01:03:50,720 --> 01:03:57,520
Speaker 1: and her staff. Miss Yeah. Interesting, what did they know? Marriage? Divorce?

1146
01:03:58,320 --> 01:04:00,960
Speaker 1: Were they ever married? She could never leave him, She's

1147
01:04:00,960 --> 01:04:02,760
Speaker 1: here on a ninety day came that she's ever had.

1148
01:04:05,520 --> 01:04:10,160
Speaker 1: All Right, that's gonna do it for this week's Weekly Zeitgeist.

1149
01:04:10,280 --> 01:04:14,040
Speaker 1: Please like and review the show. If you like the show,

1150
01:04:14,680 --> 01:04:19,040
Speaker 1: Uh means the world to Miles. He needs your validation. Folks,

1151
01:04:19,680 --> 01:04:22,720
Speaker 1: I hope you're having a great weekend and I will

1152
01:04:22,760 --> 01:05:06,120
Speaker 1: talk to him Monday. By the Pip