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Speaker 1: Old media.

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Speaker 2: This is it could happen here. Executive Disorder, our weekly

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Speaker 2: newscast covering what's happening in the White House, the crumbling world,

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Speaker 2: and what this means for you. I'm Garrison Davis today

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Speaker 2: I am joined by Mia Wong, James Stout, and Robert Evans.

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Speaker 2: This episode recovering the week of November thirteenth to November nineteenth.

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Speaker 2: The biggest news I think of this whole week. Jd

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Speaker 2: Vance has been sentenced to two years in prison for

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Speaker 2: threatening Donald Trump and jd Vance. This is, of course

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Speaker 2: James Donald Vance Junior.

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Speaker 3: Different jd Vance.

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Speaker 2: A sixty seven year old man from Grand Rapids, Michigan.

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Speaker 3: Second. Jd Vance has hit the discourse.

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Speaker 2: Who's also named Donald, which is phenomenal.

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Speaker 3: It's amazing.

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Speaker 2: Whop plead a guilty to three criminal accounts based on

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Speaker 2: the social media posts about killing the President, the Vice President,

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Speaker 2: Elon Musk, and Trump Junior.

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Speaker 1: Yeah, not good, not a good, ye, Garrison. I would

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Speaker 1: quibble that that is a bigger story this week because

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Speaker 1: this is the week of couse that Nicki Minaj addressed

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Speaker 1: the United Nations.

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Speaker 3: And this is a week where years happened.

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Speaker 1: Ye Nicki Minaj, if readers are familiar with her. It

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Speaker 1: will doubtless be because of her contribution to discourse on

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Speaker 1: her cousin's friends testicles. But this this time, she's back

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Speaker 1: and she is talking about the perse baby. Yeah, that's

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Speaker 1: what we do here. She's talking about the persecution of

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Speaker 1: Christians in Nigeria. Just for listener to another way, Nicki

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Speaker 1: Minaj is from Trinidad. Yeah, not at word of any

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Speaker 1: particular expertise or insight she has on a topic. But yeah,

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Speaker 1: she she did that this week.

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Speaker 2: Yep, at the United Nations.

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Speaker 3: How did do we know? How she decided that this

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Speaker 3: was a problem she needed to get involved.

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Speaker 1: She reposted a truth that Donald Trump had made great

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Speaker 1: and I've had a great start. I believe they reached

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Speaker 1: out on the basis of that. There's some tremendous like

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Speaker 1: statements calling her the greatest female recording artist in history. Yeah, yeah,

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Speaker 1: which sets us up nicely for a Nicki Minaj Dolly

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Speaker 1: Parton beef.

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Speaker 3: Yeah.

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Speaker 1: I think I join on the side of Dolly Parton

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Speaker 1: in that one.

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Speaker 3: It would be hard not to, yep.

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Speaker 1: So yeah, I guess she reposted a thing about a

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Speaker 1: truth that led to them reaching out, and she volunteered

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Speaker 1: her time to address the United Nations organizations set up

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Speaker 1: afterward what to try and prevent genocides. Yeah, outstanding.

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Speaker 2: The truth is so beautiful. Yes, speaking of the truth

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Speaker 2: and the truth coming to light, we're talking about Jeffrey

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Speaker 2: Epstein again, I guess.

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Speaker 3: Yeah, the ongoing revelations based on He's this guy's post

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Speaker 3: depth career has really been one for the books.

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Speaker 2: Yeah, he really really rivals Michael Jackson in more than

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Speaker 2: one way.

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Speaker 3: Yeah, or Tupac, I would say Tupac.

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Speaker 4: No.

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Speaker 3: It was when when fucking John McAfee died, there were

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Speaker 3: all these people being like, oh, he's got you know,

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Speaker 3: because his McAfee had lied and said, I've got like

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Speaker 3: an insurance folder that'll come out in the event of

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Speaker 3: my death that'll, you know, reveal a bunch of top

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Speaker 3: level secrets. And John McAfee didn't know shit.

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Speaker 2: He was.

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Speaker 3: He was a crazy old drug addict who killed his

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Speaker 3: nephew and then fled to South America or Central America anyway, whatever,

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Speaker 3: one of the America's one of the He fled to

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Speaker 3: a different America than the one that he came from anyway.

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Speaker 3: But that's actually happening with Jeffrey Epstein, we actually now

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Speaker 3: have a lot of dirt on a lot of people.

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Speaker 3: Larry Summers just left the board of Open AI because

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Speaker 3: he was revealed as a rampant misogynist and friend of

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Speaker 3: a pedophile sex trafficker. Not a good look.

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Speaker 2: He's also announced that after finishing his current class at Harvard,

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Speaker 2: he will be resigning from Harvard University.

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Speaker 3: What a loss for Harvard. I don't know how they're

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Speaker 3: gonna run.

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Speaker 2: Well, it's the biggest low since President Gay.

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Speaker 3: Yeah, look, Harvard, if you need someone to teach his class,

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Speaker 3: I'll do it. I don't know what his class is.

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Speaker 3: I don't actually know what Larry does. We know what

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Speaker 3: his expertise is, but I feel like I could do

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Speaker 3: a better job. Yeah, bring me in.

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Speaker 1: We do know a little bit about what Larry does,

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Speaker 1: and that is the problem.

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Speaker 2: Yeah. Yeah, the sex crimes right after recording Executive Disorder

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Speaker 2: last week, not the most important, but certainly the oddest

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Speaker 2: email was uncovered as a part of that big document's release.

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Speaker 2: This is an exchange from twenty eighteen between Mark Epstein

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Speaker 2: and Jeffrey Epstein to brothers. Let's start with Mark, how

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Speaker 2: are you doing? A while back? You mentioned that you

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Speaker 2: were pre diabetic. Has anything changed with that? What is

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Speaker 2: your boy Donald up to now? Jeffrey replies, all good,

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Speaker 2: and with me. Mark replies, ask him if Putin has

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Speaker 2: the photos of Trump blowing Bubba. You know, yeah, I'm

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Speaker 2: going to continue the exchange. Yeah, because, Jeffrey replies, and

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Speaker 2: I thought I had terrists. Mark replies, you and your

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Speaker 2: boy Donnie can make a remake of the movie Get

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Speaker 2: Hard sent via tin can and a string.

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Speaker 3: Oh god.

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Speaker 2: Jeffrey replied, you mean Donnie T. And Mark replied, I'd

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Speaker 2: rather be in Donnie D's shoes. That's the exchange.

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Speaker 3: Also, what Epstein said was was siris, which is a

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Speaker 3: Yiddish word that means like problems, like I got I

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Speaker 3: got problems, I got shit, I'm all, I'm all fucked up,

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Speaker 3: which he was. He was not wrong about that, look, yep.

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Speaker 2: So many people have speculated that this could be a

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Speaker 2: reference to former President Bill Clinton, whose nickname was Bubba,

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Speaker 2: and whose name is Bubba in some of these other emails,

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Speaker 2: or is referred to as pub in some of these

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Speaker 2: other emails.

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Speaker 3: Which is something that I've seen surprise a lot of people.

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Speaker 3: If you grew up in the nineties. You were aware

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Speaker 3: that his nickname was Bubba, but he has not been

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Speaker 3: called Bubba in a very long time. When he like

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Speaker 3: lost all that weight and went vegan and like it

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Speaker 3: kind of stopped seeming like as much of a Bubba

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Speaker 3: as he did when he was the president. The Saturday

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Speaker 3: Night Live made fun of in that great McDonald's sketch.

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Speaker 3: But yeah, anyway, continue gare.

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Speaker 2: I mean, I don't know how what else there is

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Speaker 2: to say here. You know, photos have been recirculating Trump, Yes.

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Speaker 1: Bubba gump shrimp, Well, the real.

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Speaker 3: Bubba, please stand up.

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Speaker 2: Photos have been recirculating of Trump, I would say, groping

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Speaker 2: Bill Clinton's penis. Yeah, yeah, yep.

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Speaker 3: There's more there than you expect, right, yes, yeah, but Bubba.

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Speaker 2: Has referred to a few people, including other people like

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Speaker 2: in Epstein's circle, like a golf and models. Yeah, but

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Speaker 2: Bubba was also the name of Gleaine Maxwell's horse.

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Speaker 1: Oh I'm just not hearing this, and that's I'm sorry.

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Speaker 3: And here's the thing. I see the appeal to believing

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Speaker 3: that this is the answer. I simply don't believe Donald

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Speaker 3: Trump ever had that kind of throat game. I'm sorry,

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Speaker 3: I just don't. I just don't accept that.

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Speaker 2: This is by far the funniest possibility that he did

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Speaker 2: like a joke photo shoot where he like pretetted.

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Speaker 3: I could see him doing that.

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Speaker 2: This is really understandable. This is like, this is really doable.

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Speaker 3: Heaven't we all been there? So that is.

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Speaker 2: Yeah, and you know, take this however you will, Like

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Speaker 2: Mark Epstein has denied that the bubba referred to in

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Speaker 2: the email is a reference to Bill Clinton, while also

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Speaker 2: admitting in this same like interview to a news nation

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Speaker 2: and a statement that like, you know, Jeffrey certainly did

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Speaker 2: have dirt on the president and thought that he was

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Speaker 2: the only one that could sink both candidates career in

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Speaker 2: twenty sixteen, both both Hillary Clinton and Donald Trump.

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Speaker 3: Pretty good chance that's true.

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Speaker 2: Actually yeah, But he for what it worth is saying

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Speaker 2: it's not a reference to Clinton. Who who knows.

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Speaker 5: That there's a real sort of you know, if if

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Speaker 5: you if you want to do the sort of pop

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Speaker 5: Marxist live this, there's a real sort of historical unity

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Speaker 5: of the ruling class moment. When you read these emails

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Speaker 5: and the people in them, it's like it's Bill Clinton.

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Speaker 5: It's Bill Clinton's like the people around Bill Clinton it's

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Speaker 5: Ken Starr. And you know, you go back and you

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Speaker 5: look at like you look at like the actual like

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Speaker 5: impeachment of Bill Clinton, right, and you realize that every

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Speaker 5: single one of these people are all friends with Jeffrey

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Speaker 5: Epstein and are just kind of hanging out like yeah

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Speaker 5: on like on the pedophile island.

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Speaker 1: And it's just yeah, it's it's.

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Speaker 5: Something that like you couldn't if like the most the

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Speaker 5: most sort of on the nose, like I like completely didactic,

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Speaker 5: I'm pounding your head with a hammer, like Marxist thing

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Speaker 5: from nineteen sixty where they go, Yeah, all of the

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Speaker 5: presidents are hanging out on Pedophile Island like consecretly conspiring

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Speaker 5: behind your back, and they're taking photos of them like

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Speaker 5: grabbing each other's dicks like you wouldn't believe. But it's

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Speaker 5: like no, no, no, no, this is just this is just

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Speaker 5: the historical unity of the ruling class is literally they're

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Speaker 5: all friends with this pedophile Well.

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Speaker 3: It's just these are all wealthy, powerful people and the

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Speaker 3: only people that they socialize with is each other. You know.

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Speaker 3: The New York Times came up with an out with

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Speaker 3: an article this week that was like the Epstein emails

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Speaker 3: or an insight into an old New York long departed

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Speaker 3: or yeah, that was an incredible headline, And yeah, I

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Speaker 3: mean it was. This was like the transition between all

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Speaker 3: of these people writing each other letters and all of

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Speaker 3: these people just bitching publicly on the internet, openly and

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Speaker 3: losing their minds. Like the awkward interstittle period was them

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Speaker 3: all emailing each other from their iPads. Right, So, to

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Speaker 3: that extent, the New York Times article is right, not

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Speaker 3: the main takeaway from the Jeffrey Epstein emails, I would say,

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Speaker 3: probably not worth an article in the Times, but it's

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Speaker 3: not wrong technically.

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Speaker 1: Yeah, yeah, it's a fascinating thing to choose to.

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Speaker 2: Go Yeah, that poor horse.

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Speaker 3: Yeah, it's a little bit. It's a little bit like

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Speaker 3: a journalist showing up in Berlin in late nineteen forty

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Speaker 3: five and like going through like papers in the ruins

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Speaker 3: of the Reichstag and being like, wow, this really reveals

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Speaker 3: a lost to Berlin. It was like, I mean, yeah,

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Speaker 3: that's really the point.

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Speaker 2: The other comments on on Bubba.

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Speaker 1: Did anyone ask guys his brother about the Holtz?

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Speaker 2: I don't believe Mark has been asked about the horse.

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Speaker 3: Mark is in a not that I have a ton

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Speaker 3: of sympathy for this guy, but just recognizing things objectively.

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Speaker 3: He's in a tough position because his brother was an

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Speaker 3: incredibly famous he's a file sex trafficker. Yeah, and he

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Speaker 3: is desperately trying not to get disappeared by the regime

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Speaker 3: or he also knows what'll come after the regime, so

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Speaker 3: he doesn't want to set himself in a self up

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Speaker 3: in a way where he gets in trouble from that either, right,

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Speaker 3: Like it's a legitimately complicated situation he finds himself in

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Speaker 3: that his brother just kind of laughed for him. And again,

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Speaker 3: I don't have a lot of sympathy for the man,

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Speaker 3: but I can recognize it because he also said at

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Speaker 3: the same time he was like this definitely was not him,

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Speaker 3: referring to Donald Trump giving a blowjob to Bill Clinton.

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Speaker 3: He did also say that he believed that the Republicans

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Speaker 3: were removing the names Republicans from the Epstein files before release. Right,

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Speaker 3: So he's he has been like hedging his bets because

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Speaker 3: again he's in a lot of danger. Yeah, this man,

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Speaker 3: this man is in trouble.

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Speaker 2: Yeah.

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Speaker 1: Yeah, I would not be granted infused if I was him,

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Speaker 1: I would.

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Speaker 3: Be I wouldn't say shit, yeah.

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Speaker 1: Like literally under the ground.

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Speaker 3: Yeah, I would. I would, for one thing, not be

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Speaker 3: in a country that extradited.

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Speaker 6: I would.

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Speaker 3: I would never set foot in a country with extradition

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Speaker 3: treaties to the Western world. Again.

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Speaker 1: Yeah, the next strike in Venezuela will be Mark Epstein.

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Speaker 3: I would be living in Tehran right now.

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Speaker 2: Like, let's talk about Marjorie Trader Green.

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Speaker 3: Sure, why not? Yeah, so Marjorie Taylor Green is part

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Speaker 3: of the resistance.

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Speaker 2: Now hashtag welcome to the Resistance.

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Speaker 3: Yeah, exactly.

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Speaker 1: It's very like and Or.

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Speaker 3: Sure, it's like that point in and Or where the

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Speaker 3: person and who did nothing but help Emperor Palpatine suddenly

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Speaker 3: at the last minute was like, you know what, this

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Speaker 3: guy want to step too far from me, you know?

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Speaker 2: Or A, Actually I hate Jewish too much that.

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Speaker 3: I think that's the I think that's the reality.

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Speaker 1: I wasn't sure if there was an analog for anti

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Speaker 1: Semitism in the Star Wars universe.

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Speaker 3: That I wasn't Well, you probably don't want to, you

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Speaker 3: know what.

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Speaker 1: I've asked the wrong people.

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Speaker 2: Right now, you have three hours, James.

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Speaker 3: In the early two thousands, George Lucas invented some names

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Speaker 3: that are themselves hate crimes. Just be remembering the names

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Speaker 3: is a hate crime.

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Speaker 2: James, Do you want to read about the Troydarians.

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Speaker 1: No, No, I'm as far as I get into into

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Speaker 1: Star Wars Bigotrey discourse is Jia Juo Binks and after

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Speaker 1: that I leave.

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Speaker 2: Well from the same movie.

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Speaker 6: But no.

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Speaker 2: So, Yeah, Marjorie has been more combative against some of

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Speaker 2: the you know, Trump cultist mega right on a few issues.

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Speaker 2: One she's extended her already evidenced anti Semitism, a lah

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Speaker 2: Jewish space lasers towards foreign policy in this like America First,

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Speaker 2: Nick fuent Tzi way of being critical of Israel. You

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Speaker 2: see seeds of this because like Martin Tyler Green like

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Speaker 2: attended the Nick Fointes America First conferences like four years ago,

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Speaker 2: Like this is this this side of it not a

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Speaker 2: surprising turn for her. Her finally flipping on Trump in

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Speaker 2: terms of the pedophile stuff may be a little bit

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Speaker 2: surprising because she was the original like QAnon candidate. Yeah,

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Speaker 2: and QAnon's built on this, like trying to justify in

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Speaker 2: some ways Trump's proximity to Epstein by building this grand narrative.

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Speaker 3: And she made a statement recently that she's no longer

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Speaker 3: all in on the Q stuff right like she had

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Speaker 3: she is. This is a pivot for her, but it's

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Speaker 3: a pivot that's pretty consistent with you know, her anti sense.

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Speaker 2: And it makes sense. Yeah, yeah, yeah, it makes sense

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Speaker 2: with with with the Israel foreign policy stuff. It also

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Speaker 2: makes sense in terms of Trump's made a a lot

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Speaker 2: more statements directly addressing this Epstein stuff, which kind of

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Speaker 2: does call into question some of like the Q narratives,

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Speaker 2: which for someone like Marjorie might actually get her to

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Speaker 2: kind of reflect on some of some of like this

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Speaker 2: Trump cultish status that she's had for a while. This

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Speaker 2: has frustrated Trump, and you know, Trump's also been frustrated

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Speaker 2: with other members like Lauren Bobert and other like congress

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Speaker 2: people who were pledging to vote in support of the

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Speaker 2: release of the Epstein files. And this pressure was building

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Speaker 2: a lot last week during this like twenty thousand document

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Speaker 2: release and all this new news coverage and as these

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Speaker 2: as more and more Republicans bean to deflect from Trump

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Speaker 2: over the release of the Epstein files. Trump himself flipped

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Speaker 2: his rhetoric over this past weekend, still calling the debate

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Speaker 2: over the files a Democrat hoax, but truthing that the

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Speaker 2: files should be released because we quote unquote have nothing

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Speaker 2: to hide, and he called on Republicans to vote in

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Speaker 2: favor of the bill to release the Epstein files, which

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Speaker 2: they did on Tuesday in a four hundred and twenty

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Speaker 2: seven to one vote, with Representative Clay Higgins, the Republican

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Speaker 2: from Louisiana, the only congressman to vote no. Hours later,

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Speaker 2: Chuck Schumer unanimously passed the measure through the Senate. Mike

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Speaker 2: Johnson had previously expected the Senate to amend the bill

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Speaker 2: to quote make sure we don't do permanent damage to

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Speaker 2: the political system unquote, and after its passage through the Senate,

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Speaker 2: Johnson seemed quite worried that it went through the upper

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Speaker 2: chambers in its current form. And I want to play

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Speaker 2: this clip here because it's kind of shocking to hear him,

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Speaker 2: hear him freak out.

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Speaker 5: And before we say this, you owe it to yourself

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Speaker 5: as a person to go actually look at this clip

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Speaker 5: and watch his face.

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Speaker 2: It is amazing.

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Speaker 1: Sorry, I haven't seen this. I'm excited.

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Speaker 2: It'll be in the sources below.

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Speaker 3: Action to lead your foond.

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Speaker 2: Are you seeing the bill without adding amendments or changing it.

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Speaker 7: I am. I am deeply disappointed in this outcome. I

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Speaker 7: think I'm told I've been at the state dinner.

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Speaker 3: I don't know.

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Speaker 7: I was just told that Chuck Schumer rushed it to

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Speaker 7: the floor and put it out there preemptively. It needed amendments.

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Speaker 7: I just spoke to President about that. We'll see what happened.

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Speaker 2: So is he do you think he may beat on it?

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Speaker 3: You say you spoke, I'm not saying that.

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Speaker 8: Is he supportive of it in its current form?

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Speaker 7: We both have concerned about it, So we'll see.

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Speaker 2: As I was staying there with the.

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Speaker 4: Crown transmitting call, are you frustrating on the Majority leader?

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Speaker 5: Are you uptime with.

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Speaker 3: The Majority leader?

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Speaker 2: Cool?

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Speaker 3: Nice?

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Speaker 2: What a what a normal?

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Speaker 8: What a normal interaction That is also also worth the

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Speaker 8: very end of that video, he says I was eating

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Speaker 8: with the Crown Prince because he is again walking out

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Speaker 8: of a state dinner with one Mohamed bin Selmond.

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Speaker 1: The yeah, I.

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Speaker 5: Don't even list of war crimes here, the suit, may child, soldier, exterminator,

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Speaker 5: et cetera, et cetera.

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Speaker 2: But no, it's safe to say that both Johnson and

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Speaker 2: President Trump have concerns about the state of the bill

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Speaker 2: and Johnson seemed a little bit wishy washy on if

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Speaker 2: the President would even sign this or veto this. Now,

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Speaker 2: it's not all bad for the president. I oh, I'd

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Speaker 2: like to seal Donnie j wiggle his way out of

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Speaker 2: this jam. This bill that has passed does allow Attorney

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Speaker 2: General and Bondy to withhold or redact portions of the

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Speaker 2: files that could jeopardize active federal investigations and personally determine

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Speaker 2: if information in the files should remain classified to protect

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Speaker 2: national security. The last weekend, Trump ordered Bondy to launch

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Speaker 2: investigations looking into connection between Epstein and prominent Democratic politicians

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Speaker 2: and donors. Here's clip from a Wednesday, November nineteenth press conference.

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Speaker 6: Jurnity General, do you mean that you will provide all

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Speaker 6: the files by thirty days?

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Speaker 4: We will follow the law. The law passed both chambers

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Speaker 4: last evening. It has not yet been signed, but we

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Speaker 4: will continue to follow the law again while protecting victims,

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Speaker 4: but also providing maximum transparency.

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Speaker 6: To that mad Maternity General. The DLJ statement earlier this

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Speaker 6: year saying that the files would not release mention the

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Speaker 6: fact that the review of the documents and the evidence

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Speaker 6: did not suggest that any additional investigation of third parties

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Speaker 6: was warranted. What changed since then that you launched this investigation?

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Speaker 4: Information that has come for information, there's information that new information,

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Speaker 4: additional information, and again we will continue to follow the

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Speaker 4: law to investigate any leads. If there are any victims,

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Speaker 4: we encourage all victims to come forward, and we will

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Speaker 4: continue to provide maximum transparency under the law.

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Speaker 2: Very normal, very normal response.

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Speaker 3: Uh huh, Yeah, that's that doesn't sound sketchy.

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Speaker 5: I have never, at any point in the last eight years,

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Speaker 5: twelve years, however long we've been in this hellscap, been

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Speaker 5: a been a pistape believer. This looking at these people's

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Speaker 5: faces is the closest I've ever been to being like, no,

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Speaker 5: maybe that shit's real, and maybe it's in there, because

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Speaker 5: there's clearly something in there that they are just they're

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Speaker 5: just going through it.

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Speaker 1: Yes's wild.

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Speaker 2: Yeah, some of these guys seem to seem a little

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Speaker 2: bit concerned.

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Speaker 3: Yeah, Yeah, I wonder why, surely there's no.

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Speaker 2: I mean, imagine the workload ahead of them. They have

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Speaker 2: to redact so much. Yeah, I have to get so

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Speaker 2: many of those markers. Imagine how tired their risks are

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Speaker 2: going to be.

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Speaker 3: Yeah, it's like that feeling when you come back from

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Speaker 3: a reporting trip and you're like, now I have to

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Speaker 3: do the job.

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Speaker 1: Yeah, yes, I'm familiar with that feeling.

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Speaker 2: Do you know what we have to do right now? Ads?

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Speaker 2: It's pivot to ads.

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Speaker 3: Yes, yeah, let's go ahead and do that and we're back.

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Speaker 2: Now. I would like to take some time to discuss

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Speaker 2: probably the second most important news story of the whole week,

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Speaker 2: do It Sure, which is totally not a hail Mary

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Speaker 2: distraction to get away from the Epstein stuff. This is

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Speaker 2: totally legitimate and totally newsworthy. On Monday, November seventeenth, a

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Speaker 2: piece in the prestigious outlet The New York Post opinion

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Speaker 2: section provided earth shattering relevations revelations care that's the word

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Speaker 2: about the attempted Trump assassination, claiming to have discovered evidence

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Speaker 2: that Thomas Crooks, the shooter, had two possible accounts on

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Speaker 2: Devian Art.

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Speaker 9: Which, yeah, this really is the biggest story, which the

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Speaker 9: post New York Post describes as quote one of the

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Speaker 9: biggest online hubs for furry art and the furry community.

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Speaker 2: A furry is someone who has an interest in mormorphized

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Speaker 2: animal characters, often as a sexual fetish.

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Speaker 3: Unquote every time.

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Speaker 2: Later reporting in The New York Post claimed that one

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Speaker 2: of these accounts had only shared a single post quote

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Speaker 2: a repost of a towering, muscular female bodybuilder and a

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Speaker 2: slight man in his underwear unquote and quote. Multiple searches

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Speaker 2: for muscular women and female bodybuilders were found on Crook's

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Speaker 2: supposed YouTube search history.

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Speaker 3: He's a real pervert, then excellent, yes, beautiful quote.

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Speaker 2: Oh it's not it's oh, Robert, that's That's not even

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Speaker 2: the worst part. The furry stuff obviously problematic considering our

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Speaker 2: past few furry mass shooters. Is maybe a trend here.

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Speaker 2: We should look into this. But possibly the most damning

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Speaker 2: piece of information in the New York Post reporting is

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Speaker 2: that Crooks quote described himself with the pronouns they them

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Speaker 2: on the platform Debian art, which is one of the

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Speaker 2: biggest hubs for furry art and the furry community. This

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00:23:24,840 --> 00:23:27,879
Speaker 2: became the big thing among the right. Another trans shooter,

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Speaker 2: the Trump the Trump assassin was trans the whole time,

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Speaker 2: and we didn't even know. The FBI covered up the

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Speaker 2: trans connection. Here. It's all coming together more more red

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Speaker 2: string on the board. The trans the trans shooter narrative

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Speaker 2: is growing more and more evident. By the day.

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Speaker 3: Right.

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Speaker 2: This, this is the way that this was framed across

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Speaker 2: all of these all these commentators.

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Speaker 10: Who's the president right now is supposed to work?

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Speaker 1: At the time they investigated, Biden would have been president

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Speaker 1: right or they began their investigation.

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Speaker 2: The New York Post did reach out to the current

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Speaker 2: FBI for comment. They did not receive a response.

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Speaker 1: Deep State.

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Speaker 2: The New York Posts reporting like in these in these

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Speaker 2: opinion pieces, and I think later an article they did

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00:24:18,080 --> 00:24:22,560
Speaker 2: did later include references to quote violently anti Semitic comments

443
00:24:22,560 --> 00:24:24,680
Speaker 2: and racist remarks about Hispanic immigrants.

444
00:24:24,720 --> 00:24:27,560
Speaker 1: Hmm, that seems Thomas Crooks.

445
00:24:27,240 --> 00:24:32,119
Speaker 2: Also made, including YouTube comments from twenty nineteen quote, this

446
00:24:32,200 --> 00:24:34,080
Speaker 2: is going to be blatantly racist. But I hope Trump

447
00:24:34,160 --> 00:24:36,480
Speaker 2: has these people a squad murdered.

448
00:24:37,359 --> 00:24:38,000
Speaker 3: Oh great.

449
00:24:38,680 --> 00:24:41,920
Speaker 2: I always believed being patriotic was lighting up a bunch

450
00:24:41,960 --> 00:24:45,360
Speaker 2: of socialist Jews like the ones that booed Trump and

451
00:24:45,400 --> 00:24:49,080
Speaker 2: blasting their useless brains out with an ar I hope

452
00:24:49,080 --> 00:24:51,879
Speaker 2: a quick, painful death to all the deplorable immigrants and

453
00:24:52,040 --> 00:24:58,919
Speaker 2: anti Trump congresswomen unquote. Obviously, the right wing commentators are

454
00:24:58,920 --> 00:25:01,520
Speaker 2: not talking about this sort of stuff. They're not talking

455
00:25:02,760 --> 00:25:07,360
Speaker 2: about Crook's actual politics or political shifts during the pandemic

456
00:25:07,400 --> 00:25:09,760
Speaker 2: where he started getting kind of more Trump critical, but

457
00:25:10,200 --> 00:25:14,040
Speaker 2: still from a conservative perspective. Instead, the story is now

458
00:25:14,080 --> 00:25:18,120
Speaker 2: to quote libs of TikTok, Charlie Kirk killer furry fetish,

459
00:25:18,200 --> 00:25:22,600
Speaker 2: Trump shooter, furry fetish, Idaho firefighter killer furry fetish, what's

460
00:25:22,680 --> 00:25:26,960
Speaker 2: going on? Right wing podcaster and disgraced BuzzFeed journalist Benny

461
00:25:27,000 --> 00:25:30,000
Speaker 2: Johnson quote it has now been confirmed that attempted Trump

462
00:25:30,000 --> 00:25:33,240
Speaker 2: assass and Thomas Crooks used they them pronouns, had a

463
00:25:33,320 --> 00:25:38,920
Speaker 2: deep interest in furries and was exploring gender identity. Add

464
00:25:38,960 --> 00:25:42,240
Speaker 2: it to the list. This list is then a list

465
00:25:42,280 --> 00:25:47,399
Speaker 2: of both real and many not real quote unquote trans

466
00:25:47,440 --> 00:25:50,960
Speaker 2: mass shooters. Another account in d C. Draino, who was

467
00:25:51,160 --> 00:25:54,159
Speaker 2: part of the White House photo op team during the

468
00:25:54,160 --> 00:25:58,159
Speaker 2: initial fake release of the fake Epstein files, not that

469
00:25:58,200 --> 00:26:00,280
Speaker 2: the files were fake, but like this fake meetia UH

470
00:26:00,960 --> 00:26:04,880
Speaker 2: presentation around releasing the already released and actually even more

471
00:26:04,920 --> 00:26:08,800
Speaker 2: redacted versions of already public files. Dcudrena was one of

472
00:26:08,840 --> 00:26:11,000
Speaker 2: these guys who was like paraded around as like a

473
00:26:11,040 --> 00:26:14,480
Speaker 2: prop holding up these binders of files. He posted quote

474
00:26:14,680 --> 00:26:17,120
Speaker 2: it is now confirmed the deep state tried to cover

475
00:26:17,240 --> 00:26:20,320
Speaker 2: up that Thomas Crooks was a transgender extremist, to use

476
00:26:20,359 --> 00:26:22,960
Speaker 2: the then pronouns and then shot President Trump. We need

477
00:26:22,960 --> 00:26:27,000
Speaker 2: a massive crackdown against violent trans extremism. This sort of

478
00:26:27,000 --> 00:26:29,280
Speaker 2: stuff is losing steam. This sort of stuff is not

479
00:26:29,359 --> 00:26:33,440
Speaker 2: spreading around the way that it has been previously. It's

480
00:26:33,640 --> 00:26:37,840
Speaker 2: very clear that this is a blatant distraction away from

481
00:26:38,040 --> 00:26:41,000
Speaker 2: unflattering stories about Trump in terms of the economy and

482
00:26:41,119 --> 00:26:45,159
Speaker 2: specifically Epstein and all of this. Uh. You know, you

483
00:26:45,440 --> 00:26:47,880
Speaker 2: might be wondering why maybe no other outlets of picking

484
00:26:47,920 --> 00:26:50,359
Speaker 2: this stuff up, and that could be due to the

485
00:26:50,480 --> 00:26:54,600
Speaker 2: dubious nature of the New York Posts sourcing on these claims,

486
00:26:54,800 --> 00:27:00,080
Speaker 2: but also the fact that devian art automatically lists the

487
00:27:00,160 --> 00:27:05,160
Speaker 2: user's pronouns as they them as the default setting. If

488
00:27:05,280 --> 00:27:10,399
Speaker 2: pronouns are not specified, this is the setting that everyone gets.

489
00:27:10,480 --> 00:27:13,760
Speaker 2: You have to actively try to change it. There is

490
00:27:13,800 --> 00:27:18,200
Speaker 2: no indication Thomas Crooks specifically set pronouns to theay them.

491
00:27:18,960 --> 00:27:22,440
Speaker 2: He is not a transgender extremist. He, like many gen

492
00:27:22,520 --> 00:27:25,320
Speaker 2: Z people, is aware of furry art online. This is

493
00:27:25,560 --> 00:27:29,320
Speaker 2: very common. This is a very common thing. But the

494
00:27:29,359 --> 00:27:32,000
Speaker 2: post had a few other things They try to try

495
00:27:32,040 --> 00:27:34,440
Speaker 2: to wrap this story around to give it some credibility,

496
00:27:34,440 --> 00:27:39,919
Speaker 2: including this post from the Devian art alleged to belong

497
00:27:40,160 --> 00:27:46,600
Speaker 2: to Thomas Crooks, which is a picture of someone shooting

498
00:27:46,720 --> 00:27:51,359
Speaker 2: someone else in the head, which your post calls another

499
00:27:51,440 --> 00:27:54,280
Speaker 2: artwork appear to feature a shooting against a backdrop of

500
00:27:54,359 --> 00:27:58,160
Speaker 2: the trans flag colors. This is not the trans flag,

501
00:27:58,280 --> 00:28:01,239
Speaker 2: nor the trans flag colors. This is a blue and

502
00:28:01,560 --> 00:28:08,560
Speaker 2: purple background. What purple is not in the transflag colors.

503
00:28:08,560 --> 00:28:12,000
Speaker 2: You can maybe argue this is magenta maybe, but this

504
00:28:12,080 --> 00:28:15,280
Speaker 2: is not a transflag. This is not an LGBTQ pride flag.

505
00:28:15,280 --> 00:28:17,479
Speaker 2: This isn't even the bisexual flag, which does use these

506
00:28:17,520 --> 00:28:20,679
Speaker 2: same colors. This is just like a sky blue and

507
00:28:20,720 --> 00:28:24,080
Speaker 2: a magenta purple backdrop, which they are trying to frame

508
00:28:24,119 --> 00:28:29,520
Speaker 2: as further evidence of Thomas Krook's transgender ties. But what

509
00:28:29,600 --> 00:28:32,440
Speaker 2: is kind of interesting is as a part of the

510
00:28:32,600 --> 00:28:37,080
Speaker 2: social media accounts alleged to be linked to Crooks that

511
00:28:37,160 --> 00:28:39,720
Speaker 2: have appeared in new reporting from both The New York

512
00:28:39,720 --> 00:28:42,320
Speaker 2: Post and Tucker Carlson's own news outlet, But as a

513
00:28:42,360 --> 00:28:46,440
Speaker 2: part of this reporting on Crook's possible online background included

514
00:28:46,640 --> 00:28:51,280
Speaker 2: a collection of search results or like search history from

515
00:28:51,400 --> 00:28:55,320
Speaker 2: April of twenty nineteen to May of twenty twenty, which

516
00:28:55,640 --> 00:28:58,080
Speaker 2: lines up with stuff that me and Robert have been

517
00:28:58,080 --> 00:29:01,400
Speaker 2: talking about for a while in that this guy seemed

518
00:29:01,480 --> 00:29:05,320
Speaker 2: to have the ideology or non ideology of a school shooter.

519
00:29:05,560 --> 00:29:10,280
Speaker 2: This is the actual through line across this act of violence.

520
00:29:10,880 --> 00:29:14,760
Speaker 2: These searches include quote crazy chemical reactions, deadliest mass shootings

521
00:29:14,760 --> 00:29:19,080
Speaker 2: in the world, people attacking pride parades, cars running over protesters,

522
00:29:19,320 --> 00:29:22,120
Speaker 2: getting away with racism, best places for a mass shooting,

523
00:29:22,360 --> 00:29:26,360
Speaker 2: Pulse nightclub, Pulse nightclub, police body camera, mass shooting, El

524
00:29:26,440 --> 00:29:30,000
Speaker 2: Paso mass shooting, Trump civil war, Trump church shooting video,

525
00:29:30,360 --> 00:29:35,440
Speaker 2: guns versus protesters, Orlando shooting reaction. Why I'm missing handgun?

526
00:29:35,520 --> 00:29:38,560
Speaker 2: Firing an air fifteen as fast as possible, fertilizer bomb.

527
00:29:38,720 --> 00:29:41,000
Speaker 2: How do you use a tourniquit? How to make napalm

528
00:29:41,080 --> 00:29:45,000
Speaker 2: Maltov cocktail? How to make maltov cocktail mixing ghasoline with styrofoam,

529
00:29:45,160 --> 00:29:49,680
Speaker 2: Mass shooting, Canada, Oklahoma bombing sniper in Dallas shooting.

530
00:29:51,000 --> 00:30:01,520
Speaker 3: Man, Yeah, who's in real trouble? Hitting with his pistol huh.

531
00:29:57,640 --> 00:29:58,320
Speaker 1: And his rifle.

532
00:29:58,360 --> 00:30:00,320
Speaker 3: It turns out probably choking up to your much on

533
00:30:00,360 --> 00:30:00,720
Speaker 3: the trigger.

534
00:30:00,760 --> 00:30:04,320
Speaker 1: I guess, yeah, many such cases. Yeah yeah, but that's

535
00:30:04,520 --> 00:30:07,120
Speaker 1: that's a pretty clear theme that you've established there, Garrison.

536
00:30:07,400 --> 00:30:12,120
Speaker 2: Yeah, yeah, yeah, Like you see this in some way

537
00:30:12,160 --> 00:30:15,360
Speaker 2: being like a not necessarily an actual precursor, but in

538
00:30:15,400 --> 00:30:17,760
Speaker 2: the same vein that some of these like TCC people

539
00:30:18,080 --> 00:30:20,920
Speaker 2: later would you know, start developing these past few years,

540
00:30:20,920 --> 00:30:24,960
Speaker 2: and it's just obsession with doing violence. This subsception with

541
00:30:25,400 --> 00:30:28,760
Speaker 2: mass killings, with bombings, and some of it takes the

542
00:30:28,800 --> 00:30:31,160
Speaker 2: form of like you know, what looks like political violence,

543
00:30:31,200 --> 00:30:34,200
Speaker 2: like the Oklahoma City bombing, but a lot of it

544
00:30:34,240 --> 00:30:39,600
Speaker 2: is is very nihilistic. That's all I have on the

545
00:30:39,680 --> 00:30:42,000
Speaker 2: explosive reporting from the New York Post.

546
00:30:43,080 --> 00:30:43,960
Speaker 3: Great, great.

547
00:30:44,720 --> 00:30:47,040
Speaker 2: I don't know how to segue from that list of

548
00:30:47,240 --> 00:30:50,640
Speaker 2: Google searches to tariff talk, but you know what I've

549
00:30:50,680 --> 00:30:59,680
Speaker 2: been searching for is this music locking jazz bomb, rocking jazz,

550
00:31:00,320 --> 00:31:02,520
Speaker 2: sorry lacking.

551
00:31:04,320 --> 00:31:07,600
Speaker 3: Rocket Jazz, Bob Rocket jazz boy.

552
00:31:09,760 --> 00:31:11,360
Speaker 5: So this is actually a very this has been a

553
00:31:11,480 --> 00:31:14,240
Speaker 5: very very light week on tariff news. It is almost

554
00:31:14,360 --> 00:31:17,000
Speaker 5: entirely composed of people arguing about whether you're going to

555
00:31:17,040 --> 00:31:19,960
Speaker 5: get the tariff check, which no, you're not. You're not

556
00:31:20,000 --> 00:31:23,320
Speaker 5: going to get a check from the government with teriff money.

557
00:31:23,520 --> 00:31:26,800
Speaker 5: It's just not happening. So I thought, I thought I'd

558
00:31:26,840 --> 00:31:29,640
Speaker 5: take a second to pull out and look at some

559
00:31:29,720 --> 00:31:30,960
Speaker 5: of the macro stuff that's.

560
00:31:30,800 --> 00:31:32,800
Speaker 2: Happening in the economy and.

561
00:31:34,240 --> 00:31:37,680
Speaker 5: Look at why it feels like a recession even though

562
00:31:38,120 --> 00:31:42,080
Speaker 5: there isn't one. And the answer is that you and me,

563
00:31:42,400 --> 00:31:46,520
Speaker 5: and everyone in this room and probably most of the

564
00:31:46,520 --> 00:31:50,480
Speaker 5: people's sister keep listening to this podcast, are effectively in

565
00:31:50,520 --> 00:31:54,400
Speaker 5: a recession. And the reason I can say this is

566
00:31:54,440 --> 00:31:57,920
Speaker 5: that there's there's pretty good numbers from the Harvard economists

567
00:31:57,960 --> 00:32:01,080
Speaker 5: Jason Furman, who points out that if you if you

568
00:32:01,160 --> 00:32:03,960
Speaker 5: look at so okay, so recession is is three consecutive

569
00:32:04,040 --> 00:32:07,320
Speaker 5: quarters of negative GDP growth, right, And this is not

570
00:32:07,520 --> 00:32:12,360
Speaker 5: like a perfect economic indicator, but you know, Jason Furrin

571
00:32:12,400 --> 00:32:18,040
Speaker 5: points out, ninety two percent of GDP growth in the

572
00:32:18,080 --> 00:32:22,360
Speaker 5: first half of this year is in a category that's

573
00:32:22,400 --> 00:32:26,560
Speaker 5: called information processing equipment and software. And so, okay, what

574
00:32:26,720 --> 00:32:29,520
Speaker 5: is that? That is all data center it's all data

575
00:32:29,520 --> 00:32:30,160
Speaker 5: center construction.

576
00:32:30,240 --> 00:32:33,479
Speaker 2: It is ninety two percent of all of our GP growth.

577
00:32:35,960 --> 00:32:39,360
Speaker 3: Well, the good news is that, for example, Oracle didn't

578
00:32:39,400 --> 00:32:41,840
Speaker 3: just make a big deal with open AI to provide

579
00:32:41,880 --> 00:32:46,400
Speaker 3: them with computing resources, and after making this three hundred

580
00:32:46,440 --> 00:32:49,400
Speaker 3: billion dollar deal has dropped three hundred and fifteen billion

581
00:32:49,440 --> 00:32:53,680
Speaker 3: dollars in valuation. That didn't happen obviously, Like these are

582
00:32:54,080 --> 00:32:57,160
Speaker 3: things are good in an AI world. There's not a

583
00:32:57,200 --> 00:32:59,719
Speaker 3: bunch of people pulling their money out of Nvidia as

584
00:32:59,760 --> 00:33:00,680
Speaker 3: fast as they can.

585
00:33:00,840 --> 00:33:02,320
Speaker 2: Yeah, we're getting to that.

586
00:33:02,360 --> 00:33:05,280
Speaker 5: Yeah one of them again, Peter Deal pulling his money

587
00:33:05,280 --> 00:33:07,440
Speaker 5: out right now, getting all.

588
00:33:07,440 --> 00:33:08,120
Speaker 2: His shit out.

589
00:33:08,520 --> 00:33:11,720
Speaker 3: Yeah, get your shipped out. Fucking Michael Burry is now

590
00:33:11,800 --> 00:33:12,560
Speaker 3: shorting the ass.

591
00:33:13,000 --> 00:33:17,360
Speaker 5: Okay, I will say this, The Michael Burry short thing

592
00:33:17,560 --> 00:33:19,920
Speaker 5: is literally the only thing that I've ran into that

593
00:33:20,000 --> 00:33:23,560
Speaker 5: actually makes me be like that. Like Michael Burry versus

594
00:33:23,560 --> 00:33:26,320
Speaker 5: the AI industry is like really truly is the great

595
00:33:26,440 --> 00:33:29,479
Speaker 5: duel of the stoppable force and the movable object. Yeah,

596
00:33:29,520 --> 00:33:34,440
Speaker 5: like that's who're not dealing with like world rending titans here.

597
00:33:35,440 --> 00:33:37,440
Speaker 3: But you know, but we are. We are going to

598
00:33:37,480 --> 00:33:39,320
Speaker 3: get a sequel to The Big Short that's going to

599
00:33:39,400 --> 00:33:42,160
Speaker 3: really struggle to be entertaining because with the Big Short,

600
00:33:42,360 --> 00:33:46,160
Speaker 3: what was fun was these guys realizing how fucked the

601
00:33:46,800 --> 00:33:50,720
Speaker 3: this like system based on like really bad like tranches

602
00:33:50,840 --> 00:33:52,720
Speaker 3: of debt and how badly it was going to fuck

603
00:33:52,760 --> 00:33:55,200
Speaker 3: the economy and with AI it's just going to be

604
00:33:55,280 --> 00:33:57,800
Speaker 3: like literally everyone in the world except for the people

605
00:33:57,960 --> 00:34:00,360
Speaker 3: in media and politics, being like the same, like a

606
00:34:00,400 --> 00:34:06,720
Speaker 3: fucking grift. This seems bad and them all being like no, no, no,

607
00:34:06,760 --> 00:34:08,680
Speaker 3: bro trusts me, no no no, And then it all

608
00:34:08,719 --> 00:34:10,120
Speaker 3: goes to ship. Yeah.

609
00:34:10,200 --> 00:34:11,759
Speaker 2: I'm going to do a full episode about this to

610
00:34:11,800 --> 00:34:12,120
Speaker 2: some point.

611
00:34:12,280 --> 00:34:15,680
Speaker 5: There's a really good interview on a on a Bloomberg

612
00:34:15,680 --> 00:34:18,759
Speaker 5: podcast called Odd Thoughts with its kind of Paul Katrowski

613
00:34:18,920 --> 00:34:22,200
Speaker 5: who points out that well, ay, he has a great

614
00:34:22,239 --> 00:34:24,879
Speaker 5: line but calling this like the super bubble basically where

615
00:34:24,880 --> 00:34:27,600
Speaker 5: it's it's every single kind of speculative bubble rolled into

616
00:34:27,600 --> 00:34:29,879
Speaker 5: one because all these data centers are being financed with

617
00:34:29,960 --> 00:34:32,520
Speaker 5: like the with the equivalent of mortgage backed securities.

618
00:34:32,560 --> 00:34:36,359
Speaker 3: Well yeah, these are these are subprime loans for tech companies, right,

619
00:34:36,480 --> 00:34:38,640
Speaker 3: Like that's that's what's financing all of this.

620
00:34:38,920 --> 00:34:41,319
Speaker 2: Yeah, and then these buildings. Right.

621
00:34:41,600 --> 00:34:44,000
Speaker 5: It's also it's also a real estate bubble because all

622
00:34:44,040 --> 00:34:45,960
Speaker 5: of these data centers are taking a ridiculous amount of

623
00:34:45,960 --> 00:34:50,080
Speaker 5: real estate. There's a tech bubble, and the single thing

624
00:34:50,120 --> 00:34:51,840
Speaker 5: that and again, we're going to do a longer episode

625
00:34:51,840 --> 00:34:53,920
Speaker 5: about this later. The single thing that's the most unhinged

626
00:34:53,960 --> 00:34:56,560
Speaker 5: to me about this, and it's you know, even even

627
00:34:56,640 --> 00:34:59,759
Speaker 5: excluding the fact that you know, all of these processors

628
00:34:59,760 --> 00:35:01,680
Speaker 5: that they're using these data centers burned out after about

629
00:35:01,719 --> 00:35:05,120
Speaker 5: a year and a half because they're just running them constantly,

630
00:35:05,640 --> 00:35:08,600
Speaker 5: is that if you look at like the housing collapse

631
00:35:08,640 --> 00:35:11,120
Speaker 5: in two thousand and eight, right, and you look at

632
00:35:11,120 --> 00:35:14,520
Speaker 5: what was underlying all of those bad assets, there were

633
00:35:14,560 --> 00:35:17,440
Speaker 5: houses there right at the end of the day, all

634
00:35:17,480 --> 00:35:18,920
Speaker 5: of these banks can go in and they can take

635
00:35:18,920 --> 00:35:23,040
Speaker 5: your house, and that's really bad obviously, But what is

636
00:35:23,080 --> 00:35:25,960
Speaker 5: the underlying assets for all of these tranches of all

637
00:35:25,960 --> 00:35:30,240
Speaker 5: these tranches of debt. The underlying asset that you're supposed

638
00:35:30,280 --> 00:35:32,520
Speaker 5: to be taking, you know that that's supposed to be

639
00:35:32,560 --> 00:35:34,600
Speaker 5: the collateral is compute power.

640
00:35:34,840 --> 00:35:35,080
Speaker 3: Yeah.

641
00:35:35,719 --> 00:35:44,000
Speaker 1: Now, no, it seems fine just because people can live

642
00:35:44,040 --> 00:35:46,440
Speaker 1: in the computer power and that we all need to

643
00:35:46,480 --> 00:35:49,080
Speaker 1: live in a computer power, So it's fine.

644
00:35:50,920 --> 00:35:55,680
Speaker 3: Yeah. Look, the the bad news is things are going

645
00:35:55,760 --> 00:35:58,040
Speaker 3: to be really bad for a lot of people. Oh yeah,

646
00:35:58,040 --> 00:36:00,960
Speaker 3: and they already are probably most people, and they're going

647
00:36:01,000 --> 00:36:04,359
Speaker 3: to get worse. The good news is once we get

648
00:36:04,400 --> 00:36:06,719
Speaker 3: past you know, if if this is the way the

649
00:36:06,800 --> 00:36:09,880
Speaker 3: dot com bubble went right, once we get past this

650
00:36:10,080 --> 00:36:13,360
Speaker 3: crash that's brought on by you know a mix of

651
00:36:13,440 --> 00:36:18,480
Speaker 3: greed and insanity and ignorance and lies, then we can

652
00:36:18,600 --> 00:36:22,680
Speaker 3: finally get to the Internet changing society in only positive ways,

653
00:36:22,680 --> 00:36:25,200
Speaker 3: which is what happened after the dot com bubble. You know,

654
00:36:25,360 --> 00:36:28,960
Speaker 3: we got Facebook, we got Google, we got Twitter, we

655
00:36:29,040 --> 00:36:32,040
Speaker 3: got Instagram, we got all of these great apps that

656
00:36:32,080 --> 00:36:34,719
Speaker 3: have made our lives nothing better but better, you know.

657
00:36:36,120 --> 00:36:37,640
Speaker 3: So I'm looking.

658
00:36:37,400 --> 00:36:41,560
Speaker 2: Forward forget get her.

659
00:36:43,000 --> 00:36:46,800
Speaker 1: Wouldn't be ferries, I wasn't with the.

660
00:36:46,320 --> 00:36:50,880
Speaker 3: Dvn RT exactly. How would we know who was without

661
00:36:51,000 --> 00:36:55,040
Speaker 3: deviant and what their pronouns may have been.

662
00:36:57,280 --> 00:36:58,640
Speaker 5: I do want to make a serious note about this

663
00:36:58,640 --> 00:37:01,680
Speaker 5: because I've seen a lot of who compare this to

664
00:37:01,840 --> 00:37:04,799
Speaker 5: the dot com bubble, and this is so much worse

665
00:37:04,840 --> 00:37:06,320
Speaker 5: because the dot com bubble and you look at the

666
00:37:06,360 --> 00:37:10,399
Speaker 5: telecom bubble afterwards, right, there were actual assets there, right,

667
00:37:10,440 --> 00:37:12,200
Speaker 5: you know, like the only way people talk about this

668
00:37:12,320 --> 00:37:12,560
Speaker 5: is like.

669
00:37:12,560 --> 00:37:15,160
Speaker 3: There was pets dot com, but there was real stuff too.

670
00:37:15,239 --> 00:37:19,239
Speaker 5: Yeah, yeah, And you know what a telecom bubble goes under, right,

671
00:37:19,280 --> 00:37:21,360
Speaker 5: there's still a whole bunch of like fiber optic networks

672
00:37:21,360 --> 00:37:23,360
Speaker 5: that they've set up that you could get you know, people,

673
00:37:23,400 --> 00:37:26,080
Speaker 5: people with a bunch of money afterwards can come scrape up.

674
00:37:26,120 --> 00:37:28,080
Speaker 5: And there's there's a material basis something.

675
00:37:27,880 --> 00:37:32,920
Speaker 3: Here these data centers, there's they're not practical if the

676
00:37:33,440 --> 00:37:36,120
Speaker 3: because and this is what the reason, because our colleague

677
00:37:36,160 --> 00:37:39,080
Speaker 3: at Zetron had a big scoop last week that's getting

678
00:37:39,120 --> 00:37:42,400
Speaker 3: a shitload of attention right now for good reason, which

679
00:37:42,440 --> 00:37:46,919
Speaker 3: is that inference cost has been raising consistently for open Ai,

680
00:37:47,080 --> 00:37:50,640
Speaker 3: which is increasing their like it's fucking their margins and

681
00:37:50,680 --> 00:37:53,120
Speaker 3: it's increasing their losses, which is why they keep losing

682
00:37:53,160 --> 00:37:57,360
Speaker 3: more money each quarter. And the idea behind why people

683
00:37:57,400 --> 00:37:59,640
Speaker 3: thought open ai could be a good business is that

684
00:38:00,160 --> 00:38:04,400
Speaker 3: these inference costs, which is basically how the cost that

685
00:38:04,440 --> 00:38:08,600
Speaker 3: it takes to keep making the models better, right, that

686
00:38:08,600 --> 00:38:11,320
Speaker 3: that was going to decline once they hit a certain

687
00:38:11,400 --> 00:38:13,359
Speaker 3: level that like you're not going to need to it's

688
00:38:13,440 --> 00:38:15,680
Speaker 3: it's super expensive to get the models to a point

689
00:38:15,680 --> 00:38:17,440
Speaker 3: where they're good. But once they're good, then they get

690
00:38:17,440 --> 00:38:20,200
Speaker 3: to be really cheap. And that's not really true based

691
00:38:20,200 --> 00:38:22,720
Speaker 3: on the data that we have and they were lying

692
00:38:22,800 --> 00:38:24,600
Speaker 3: about it kind of you know, they were not in

693
00:38:24,920 --> 00:38:26,960
Speaker 3: a way that was legally actionable. They're not a publicly

694
00:38:27,000 --> 00:38:29,279
Speaker 3: traded company that were not required to release this to

695
00:38:29,320 --> 00:38:31,640
Speaker 3: the public. It does seem like they were honest with

696
00:38:31,680 --> 00:38:35,120
Speaker 3: their investors, like Microsoft, right, they were lying to us,

697
00:38:35,400 --> 00:38:38,560
Speaker 3: right to regular people, in order to pretend this was

698
00:38:38,600 --> 00:38:41,320
Speaker 3: a business that had a lot better of a shot

699
00:38:41,440 --> 00:38:43,279
Speaker 3: of being successful in the way it needs to be.

700
00:38:43,680 --> 00:38:47,279
Speaker 3: The problem with AI as a money thing is not

701
00:38:47,400 --> 00:38:50,160
Speaker 3: that there's no profit in this. It's not that there's

702
00:38:50,160 --> 00:38:52,359
Speaker 3: no use for any of these tools. There are many

703
00:38:52,440 --> 00:38:55,439
Speaker 3: uses and there are many potential businesses. It's that none

704
00:38:55,480 --> 00:38:59,360
Speaker 3: of them equal trillion dollars, which is what the minimum

705
00:38:59,360 --> 00:39:03,440
Speaker 3: that they need to be profitable, right, And these data

706
00:39:03,480 --> 00:39:05,720
Speaker 3: centers are all based on the bet that no, no, actually,

707
00:39:05,719 --> 00:39:08,040
Speaker 3: this is a multi trillion dollar industry and we need

708
00:39:08,040 --> 00:39:09,760
Speaker 3: this much compute, right.

709
00:39:10,520 --> 00:39:13,440
Speaker 5: And this is this is the greatest misallocation of capital

710
00:39:13,480 --> 00:39:15,520
Speaker 5: in human history. There has never been anything like this.

711
00:39:15,600 --> 00:39:18,320
Speaker 5: There has never been crazy this much of the capital

712
00:39:18,400 --> 00:39:22,160
Speaker 5: on Earth poured into nothing because there's there's not there's

713
00:39:22,160 --> 00:39:23,879
Speaker 5: not even physical assets left, right.

714
00:39:24,160 --> 00:39:27,000
Speaker 2: The physical assets are burned out, graphics.

715
00:39:26,560 --> 00:39:28,560
Speaker 3: Cards, because a lot of these data centers aren't built

716
00:39:28,600 --> 00:39:30,360
Speaker 3: and they don't last. Ye, right, that we're going to

717
00:39:30,440 --> 00:39:32,400
Speaker 3: do like, yes, they have a building, they have a

718
00:39:32,440 --> 00:39:35,520
Speaker 3: building you can run power to, but the graphics cards

719
00:39:35,520 --> 00:39:36,120
Speaker 3: don't last.

720
00:39:36,440 --> 00:39:39,920
Speaker 5: Yeah, and you know, and at the end of this, right,

721
00:39:39,960 --> 00:39:42,759
Speaker 5: it's you. You have a bunch of buildings that don't

722
00:39:42,760 --> 00:39:46,160
Speaker 5: do anything attached to like extremely expensive diesel generators.

723
00:39:46,440 --> 00:39:47,960
Speaker 2: And I am praying.

724
00:39:48,520 --> 00:39:49,960
Speaker 5: The one thing that makes me be like, I hope

725
00:39:49,960 --> 00:39:52,719
Speaker 5: this goes down quickly is that I am praying that

726
00:39:52,760 --> 00:39:54,800
Speaker 5: this bubble goes down before they actually start trying to

727
00:39:54,840 --> 00:39:57,360
Speaker 5: build nuclear like really truly get off the ground building

728
00:39:57,360 --> 00:40:00,720
Speaker 5: a bunch of nuclear reactors, because can you imagine these

729
00:40:00,719 --> 00:40:04,080
Speaker 5: guys who created a computer that can't win at chess

730
00:40:04,760 --> 00:40:06,799
Speaker 5: trying to build nuclear reactors.

731
00:40:07,520 --> 00:40:09,040
Speaker 3: I think we should let them do it. I agreed

732
00:40:09,040 --> 00:40:11,319
Speaker 3: to fuck it. Why not? Why not?

733
00:40:11,440 --> 00:40:12,280
Speaker 2: Long for Stalker?

734
00:40:12,719 --> 00:40:14,960
Speaker 3: No, I mean it's one of the this is like,

735
00:40:15,000 --> 00:40:18,560
Speaker 3: the point that is meaningful here is that after the

736
00:40:18,600 --> 00:40:21,320
Speaker 3: dot com bubble, you were able to have a massive

737
00:40:21,360 --> 00:40:23,439
Speaker 3: boom that created a bunch of wealth. It created wealth

738
00:40:23,480 --> 00:40:26,480
Speaker 3: doing things that were often super bad for society, but

739
00:40:26,560 --> 00:40:30,600
Speaker 3: it created a shitload of wealth because real infrastructure had

740
00:40:30,600 --> 00:40:33,480
Speaker 3: been put in place that actually enabled the whole country

741
00:40:33,520 --> 00:40:36,640
Speaker 3: to get connected. It enabled the birth of like the

742
00:40:36,800 --> 00:40:40,040
Speaker 3: mobile computing revolution whatnot, because a lot of groundwork had

743
00:40:40,040 --> 00:40:42,640
Speaker 3: been laid that was really meaningful. Even though a number

744
00:40:42,640 --> 00:40:44,359
Speaker 3: of the business is involved in it didn't work out.

745
00:40:44,880 --> 00:40:47,520
Speaker 3: And that's really not what we're seeing, because it's hard

746
00:40:47,520 --> 00:40:51,879
Speaker 3: to imagine assuming there's not a multi trillion dollar need

747
00:40:51,920 --> 00:40:55,200
Speaker 3: for AI, assuming everyone isn't going to do everything for

748
00:40:55,239 --> 00:40:57,680
Speaker 3: the rest of their lives through AI agents and do

749
00:40:57,760 --> 00:41:01,440
Speaker 3: all of their thinking through chat GPT, unless that's the reality,

750
00:41:01,480 --> 00:41:04,640
Speaker 3: wherein these are not good investments. And the only thing

751
00:41:04,719 --> 00:41:06,480
Speaker 3: I can compare it to in terms of what you

752
00:41:06,480 --> 00:41:07,839
Speaker 3: were saying to me about this being like the worst

753
00:41:07,880 --> 00:41:10,400
Speaker 3: allegation of capital in history, because I've been reading a

754
00:41:10,400 --> 00:41:14,520
Speaker 3: lot about like the nuclear arms race, and it was

755
00:41:14,560 --> 00:41:17,600
Speaker 3: one of those things where you go from we've dropped

756
00:41:17,719 --> 00:41:19,879
Speaker 3: tens of thousands of bombs over the course of five

757
00:41:19,960 --> 00:41:24,000
Speaker 3: years to if we were to accidentally launch these ten missiles,

758
00:41:24,040 --> 00:41:26,279
Speaker 3: it would be more explosive power than has ever been

759
00:41:26,320 --> 00:41:29,040
Speaker 3: detonated in the entire history of human war added together

760
00:41:29,160 --> 00:41:31,680
Speaker 3: up to the present moment. Right like that that is

761
00:41:31,719 --> 00:41:34,120
Speaker 3: the because of and part of this was enabled by

762
00:41:34,120 --> 00:41:37,759
Speaker 3: the actual like Internet boom, right, the one that brought

763
00:41:37,800 --> 00:41:40,480
Speaker 3: about Web two point zero in the social media era, Right,

764
00:41:40,880 --> 00:41:44,480
Speaker 3: Like all of that wealth and all of the money

765
00:41:44,520 --> 00:41:47,360
Speaker 3: that poured into these vcs who'd gotten on board companies

766
00:41:47,400 --> 00:41:50,720
Speaker 3: like Facebook that had to be created to allow something

767
00:41:50,760 --> 00:41:54,120
Speaker 3: this irrational, because twenty years ago, if the technology had

768
00:41:54,160 --> 00:41:56,680
Speaker 3: been there, there wouldn't have been the money to enable

769
00:41:56,719 --> 00:41:57,879
Speaker 3: this kind of insanity. Yeah.

770
00:41:57,920 --> 00:42:00,000
Speaker 5: Well, and I think the last thing, I mean, I guess,

771
00:41:59,760 --> 00:42:01,320
Speaker 5: I guess there's two more things that I want to

772
00:42:01,320 --> 00:42:04,799
Speaker 5: say about this. One is is that you know, this

773
00:42:04,880 --> 00:42:07,279
Speaker 5: is also part of the cyclical economic crisis that we've

774
00:42:07,280 --> 00:42:10,239
Speaker 5: been looking at since the seventies, which is that one

775
00:42:10,239 --> 00:42:12,040
Speaker 5: of the ways you get these bubbles is that there

776
00:42:12,040 --> 00:42:16,480
Speaker 5: are suddenly these unbelievably massive trillion dollar pool like trillions

777
00:42:16,520 --> 00:42:19,839
Speaker 5: of dollars of pools of capital that you're trying to

778
00:42:19,880 --> 00:42:23,400
Speaker 5: find something to invest in, right, you have to reproduce it.

779
00:42:23,440 --> 00:42:25,720
Speaker 5: And this is one of the things that causes, for example,

780
00:42:25,760 --> 00:42:28,279
Speaker 5: the Third World debt crisis in the seventies, is all

781
00:42:28,280 --> 00:42:31,200
Speaker 5: of this capital flows into all of these there will

782
00:42:31,239 --> 00:42:31,960
Speaker 5: debt things.

783
00:42:32,040 --> 00:42:32,800
Speaker 2: It eventually.

784
00:42:32,880 --> 00:42:35,600
Speaker 5: This is one of the things that powers first the

785
00:42:35,680 --> 00:42:38,759
Speaker 5: Japanese giant housing bubble that they did that caused the

786
00:42:39,160 --> 00:42:41,839
Speaker 5: Asian market collapse in the early nineties, and then cost

787
00:42:41,880 --> 00:42:43,440
Speaker 5: two thousand and eight, is that there's all of these

788
00:42:43,480 --> 00:42:44,439
Speaker 5: pools of capital they.

789
00:42:44,320 --> 00:42:46,120
Speaker 2: Have to turn into more capital, and they can't do it.

790
00:42:46,680 --> 00:42:48,640
Speaker 5: And when they can't do it, you get two thousand

791
00:42:48,640 --> 00:42:52,319
Speaker 5: and eight, right, And they've been able to sort of

792
00:42:53,080 --> 00:42:56,520
Speaker 5: hang on for about a decade, a decade and a

793
00:42:56,560 --> 00:43:00,359
Speaker 5: half ish roughly, because there was so much money coming

794
00:43:00,400 --> 00:43:01,800
Speaker 5: in from this tech sector.

795
00:43:01,840 --> 00:43:05,600
Speaker 2: But everyone outside of the tech sector it sucks. It's bad.

796
00:43:06,040 --> 00:43:07,960
Speaker 5: So this is part of the reason why everything feels

797
00:43:08,480 --> 00:43:11,239
Speaker 5: unhinged right now, right, Like, Okay, there's obviously kind of

798
00:43:11,239 --> 00:43:13,680
Speaker 5: a problem with trying to track employment data just by

799
00:43:13,719 --> 00:43:16,279
Speaker 5: seeing news of firings, because companies just do firings because

800
00:43:16,280 --> 00:43:18,759
Speaker 5: it makes their stocks go up, because it makes investors

801
00:43:18,760 --> 00:43:23,320
Speaker 5: think they're being more efficient, which is nonsense, but it's

802
00:43:23,360 --> 00:43:25,320
Speaker 5: why it feels like this is why you feel broke.

803
00:43:25,360 --> 00:43:27,680
Speaker 5: And everyone is like talking about how the economy is growing,

804
00:43:27,719 --> 00:43:30,799
Speaker 5: and it's like, well, yeah, this really small sector of

805
00:43:30,920 --> 00:43:34,480
Speaker 5: tech has accumulated an unfathomable amount of wealth and they

806
00:43:34,480 --> 00:43:35,480
Speaker 5: are getting very, very.

807
00:43:35,400 --> 00:43:37,640
Speaker 2: Rich, and everyone else is fucked.

808
00:43:37,760 --> 00:43:37,960
Speaker 1: You know.

809
00:43:38,000 --> 00:43:40,400
Speaker 5: And when this bubble collapse, when these people take all

810
00:43:40,400 --> 00:43:42,319
Speaker 5: of the money they got out of tech and have

811
00:43:42,440 --> 00:43:49,640
Speaker 5: thrown it into the metaverse and AI, when that blows up,

812
00:43:49,680 --> 00:43:53,200
Speaker 5: it is going to be cataclysmic, and we're getting closer

813
00:43:53,239 --> 00:43:53,560
Speaker 5: to it.

814
00:43:54,200 --> 00:43:56,120
Speaker 3: Yeah. Yeah. The only one of them that will be

815
00:43:56,200 --> 00:44:01,320
Speaker 3: left is Gabe Newell sitting on his yes, finally releasing

816
00:44:01,360 --> 00:44:02,200
Speaker 3: Half Life three.

817
00:44:04,520 --> 00:44:06,759
Speaker 5: He could he could probably appoint himself to kidder for

818
00:44:06,800 --> 00:44:07,839
Speaker 5: life after that light.

819
00:44:08,239 --> 00:44:10,120
Speaker 3: Yeah, he'll be the only one with money left. What

820
00:44:10,160 --> 00:44:14,520
Speaker 3: else all of the money and gave Newle's pockets. The

821
00:44:14,600 --> 00:44:19,000
Speaker 3: only asset is esteem. We've had, We've we've had it

822
00:44:19,080 --> 00:44:23,680
Speaker 3: replaced the military. Now, this is a basically the plot

823
00:44:23,760 --> 00:44:26,640
Speaker 3: of Yu gi Oh. Yeah you think I'm joking, I'm

824
00:44:26,680 --> 00:44:29,400
Speaker 3: actually no. I I never paid attention to the U

825
00:44:29,440 --> 00:44:30,040
Speaker 3: gi Yeah.

826
00:44:30,480 --> 00:44:31,879
Speaker 5: The plot of Yu gi Oh is the card game

827
00:44:31,880 --> 00:44:34,279
Speaker 5: becomes so profitable that the guy who runs the card

828
00:44:34,320 --> 00:44:36,600
Speaker 5: game company fights a battle with all the entire Builty

829
00:44:36,600 --> 00:44:38,719
Speaker 5: industrial complex and defeats them because he's making more money

830
00:44:38,760 --> 00:44:39,200
Speaker 5: than they are.

831
00:44:39,800 --> 00:44:44,799
Speaker 3: So okay, yeah, I guess I think that's that that

832
00:44:44,920 --> 00:44:46,319
Speaker 3: sounds better than what we're doing.

833
00:44:46,400 --> 00:44:50,200
Speaker 1: Yeah, yeah, yeah, okay, we can't get his fine with that.

834
00:44:50,280 --> 00:44:54,560
Speaker 1: Mentoring tulip mania, Yeah yeah, share the perfect historical comparison, right,

835
00:44:54,880 --> 00:44:57,560
Speaker 1: No one, you can eat a tulip bowl if you

836
00:44:58,040 --> 00:44:59,760
Speaker 1: have to think they're poisonous.

837
00:45:00,440 --> 00:45:02,120
Speaker 3: I don't think you can eat a bole.

838
00:45:04,280 --> 00:45:06,840
Speaker 5: I shouldn't say that, but they're more edible than a

839
00:45:06,840 --> 00:45:07,560
Speaker 5: graphics card.

840
00:45:07,640 --> 00:45:10,760
Speaker 2: Mia is telling every listener to go out and find

841
00:45:10,800 --> 00:45:12,239
Speaker 2: a tula bowl, then eat it.

842
00:45:12,400 --> 00:45:18,520
Speaker 5: Putting this on my tombstone more, oh, and a graphics card,

843
00:45:18,719 --> 00:45:19,760
Speaker 5: do it side by side.

844
00:45:19,840 --> 00:45:23,160
Speaker 1: Don't do this, don't do that. If you have you

845
00:45:23,200 --> 00:45:27,879
Speaker 1: can tag near on blue Sky, I write, okay, send

846
00:45:27,960 --> 00:45:30,080
Speaker 1: her a picture of your face post tulip. If you've

847
00:45:30,080 --> 00:45:34,960
Speaker 1: eaten one that, don't eat one on our account. Uh.

848
00:45:35,360 --> 00:45:39,520
Speaker 1: Talking of other things not to do? Yeah, all right,

849
00:45:39,560 --> 00:45:54,319
Speaker 1: fuck it. Kit's an ad for culips. All Right, we're back,

850
00:45:54,719 --> 00:45:59,120
Speaker 1: and I am going to talk about a number of things.

851
00:45:59,160 --> 00:46:01,360
Speaker 1: I guess the first thing I should talk about is

852
00:46:01,400 --> 00:46:11,120
Speaker 1: the sanctions and fto's designation for various leftist groups in Europe.

853
00:46:11,640 --> 00:46:15,480
Speaker 1: There are four entities that the State Department has announced

854
00:46:15,560 --> 00:46:18,560
Speaker 1: they've already been sanctioned, and I believe they'll be added

855
00:46:18,560 --> 00:46:20,680
Speaker 1: to the FTO list either sad Day or tomorrow as

856
00:46:20,719 --> 00:46:23,680
Speaker 1: we're recording this, so it'll be on the Foreign Terrorist

857
00:46:23,760 --> 00:46:26,800
Speaker 1: Organization list by the time you hear this on Friday.

858
00:46:27,400 --> 00:46:31,560
Speaker 1: The four entities are called Anti for oust aka Hammerbund

859
00:46:31,640 --> 00:46:37,000
Speaker 1: hammer Gang, the informal anarchist Federation. There's an Italian group

860
00:46:37,200 --> 00:46:42,600
Speaker 1: they use the initials FAI. Also they use fr I

861
00:46:42,760 --> 00:46:45,200
Speaker 1: that is not the same as the FAI that you're

862
00:46:45,200 --> 00:46:46,880
Speaker 1: familiar with from the Spanish Civil Wars.

863
00:46:46,880 --> 00:46:47,399
Speaker 3: That's your thing.

864
00:46:48,360 --> 00:46:52,279
Speaker 1: And then two Greek groups called Armed Proletarian Justice and

865
00:46:52,480 --> 00:46:54,840
Speaker 1: Revolutionary Class Self Defense.

866
00:46:56,120 --> 00:46:58,360
Speaker 3: Notes on the names, guys, I guess I shouldn't, but

867
00:46:58,440 --> 00:46:59,440
Speaker 3: I have notes on the names.

868
00:46:59,520 --> 00:47:03,000
Speaker 1: Yeah, well, I mean yeah. The European leftist groups it's

869
00:47:03,000 --> 00:47:04,200
Speaker 1: going to be yeah.

870
00:47:04,080 --> 00:47:06,759
Speaker 3: Yeah, of course, it's going to be as many syllables

871
00:47:06,760 --> 00:47:09,280
Speaker 3: as they can possibly have. Yeah.

872
00:47:09,360 --> 00:47:13,279
Speaker 1: Yeah, it is an alphabet soup. So a couple of

873
00:47:13,600 --> 00:47:16,680
Speaker 1: notable things here. The US doesn't seem to have coordinated

874
00:47:16,719 --> 00:47:19,719
Speaker 1: with the states where these entities exist. For example, the

875
00:47:19,719 --> 00:47:23,080
Speaker 1: German government and they prosecuted people who they've accused of

876
00:47:23,080 --> 00:47:25,920
Speaker 1: being members of Anti for aust recently, I think it

877
00:47:25,960 --> 00:47:28,320
Speaker 1: was in September, and they claimed that the threat of

878
00:47:28,400 --> 00:47:33,200
Speaker 1: violence for them has quote decreased significantly, which is contradicting

879
00:47:33,320 --> 00:47:35,320
Speaker 1: right the claim that these are these are violent groups.

880
00:47:35,920 --> 00:47:39,239
Speaker 1: The State Department, when it talks about anti for Oz,

881
00:47:39,280 --> 00:47:42,200
Speaker 1: talked about a series of attacks in February twenty twenty three.

882
00:47:43,040 --> 00:47:46,359
Speaker 1: What's missing from the analysis of February twenty twenty three

883
00:47:46,840 --> 00:47:49,600
Speaker 1: is what was happening in Februar twenty twenty three. It

884
00:47:49,640 --> 00:47:54,080
Speaker 1: was an event in Hungary which existed to honor Nazis.

885
00:47:54,160 --> 00:47:57,759
Speaker 1: I don't mean Nazis like people who have a right

886
00:47:57,800 --> 00:48:01,320
Speaker 1: wing political ideology. I mean like member of the NSDAP

887
00:48:01,480 --> 00:48:03,400
Speaker 1: in Germany who fought in World War Two at the

888
00:48:03,400 --> 00:48:08,080
Speaker 1: time when they were doing the Holocaust. The rally included

889
00:48:08,120 --> 00:48:12,440
Speaker 1: several groups which were already sanctioned by US allies, including

890
00:48:12,520 --> 00:48:16,719
Speaker 1: Blood and Honor Combat eighteen. Jesus, I'm not going to

891
00:48:16,719 --> 00:48:18,720
Speaker 1: go into an in depth history of either of those groups.

892
00:48:19,320 --> 00:48:23,160
Speaker 1: They're neo Nazi groups, right. That eighteen is Adolf Hitler

893
00:48:23,239 --> 00:48:27,560
Speaker 1: one eight. These are the people who are, as far

894
00:48:27,600 --> 00:48:30,600
Speaker 1: as I'm aware, the victims of that February twenty twenty

895
00:48:30,600 --> 00:48:36,719
Speaker 1: three violence right. Notably, though Antifa ost was sanctioned by

896
00:48:37,000 --> 00:48:43,040
Speaker 1: Hungry earlier this year. Right Hungary under Auburn fast moving

897
00:48:43,080 --> 00:48:48,560
Speaker 1: towards extremely right wing. I didn't think what political scientists

898
00:48:48,560 --> 00:48:50,600
Speaker 1: like to call it an illiberal democracy. Right.

899
00:48:50,840 --> 00:48:52,840
Speaker 2: This sucks to hear. I mean, with this news, I

900
00:48:52,840 --> 00:48:54,439
Speaker 2: feel like we might need to pull out of Victor

901
00:48:54,560 --> 00:48:59,040
Speaker 2: Orburn presents Hungary for comedy the upcoming Cool Zone headlined

902
00:48:59,120 --> 00:48:59,960
Speaker 2: comedy festival.

903
00:49:01,640 --> 00:49:04,120
Speaker 1: Yeah, so many of our famous comedian friends have been

904
00:49:04,120 --> 00:49:05,280
Speaker 1: planning to join us.

905
00:49:07,400 --> 00:49:10,040
Speaker 3: We are doing that show in Riad though.

906
00:49:10,840 --> 00:49:11,399
Speaker 2: That's a lot.

907
00:49:11,840 --> 00:49:13,000
Speaker 1: Yeah, that's still what Yeah?

908
00:49:13,080 --> 00:49:14,600
Speaker 3: Yeah, yeah.

909
00:49:14,800 --> 00:49:19,960
Speaker 1: The other groups aren't explicitly anti fascist, right.

910
00:49:19,840 --> 00:49:22,520
Speaker 2: Because this is getting framed support of Trumps like anti

911
00:49:22,600 --> 00:49:26,600
Speaker 2: antifa crackdown. Yeah, we're trying to find foreign terrorist organizations

912
00:49:26,640 --> 00:49:29,759
Speaker 2: linked to Antifa, But these other three groups are not

913
00:49:29,960 --> 00:49:32,160
Speaker 2: explicitly like Antifa in name or scope.

914
00:49:32,200 --> 00:49:34,440
Speaker 1: It seems no, exactly right, So most of them are

915
00:49:34,440 --> 00:49:39,480
Speaker 1: anarchist groups, right, and just to like delve very briefly

916
00:49:39,560 --> 00:49:41,680
Speaker 1: in two lines into things that have literally written a

917
00:49:41,719 --> 00:49:45,600
Speaker 1: book about. Anti fascism is a left unity position derived

918
00:49:45,600 --> 00:49:48,160
Speaker 1: from the common term position that it adopted its Congress

919
00:49:48,160 --> 00:49:52,920
Speaker 1: in nineteen thirty five. These groups do not call themselves

920
00:49:52,960 --> 00:49:56,239
Speaker 1: anti fascist. Right, there is a distinction between anarchism and

921
00:49:56,239 --> 00:49:58,600
Speaker 1: anti fascism, which can be seen very acutely in the

922
00:49:58,640 --> 00:50:01,520
Speaker 1: May nineteen thirty seven events of the Spanish Civil War.

923
00:50:02,200 --> 00:50:06,400
Speaker 1: But these groups have neither claimed anti fascism, nor, as

924
00:50:06,480 --> 00:50:09,200
Speaker 1: far as I'm aware, have any of them killed anyone.

925
00:50:09,680 --> 00:50:13,359
Speaker 1: I believe that the antifa ost people being prosecuted. One

926
00:50:13,360 --> 00:50:16,560
Speaker 1: of them is being prosecuted for attempted murder. In other

927
00:50:16,640 --> 00:50:22,760
Speaker 1: cases they have been responsible for explosions or attempted bombings. Normally,

928
00:50:22,800 --> 00:50:25,080
Speaker 1: to be designated in FDO, they would have to be

929
00:50:25,120 --> 00:50:28,960
Speaker 1: a threat to either US people or the United States

930
00:50:29,040 --> 00:50:31,680
Speaker 1: as an entity. Right, there doesn't appear to be any

931
00:50:31,680 --> 00:50:34,319
Speaker 1: evidence that these groups have any ties to anyone in

932
00:50:34,360 --> 00:50:36,759
Speaker 1: the United States or present any immediate danger to the

933
00:50:36,880 --> 00:50:40,000
Speaker 1: United States. I don't quite know where they got these

934
00:50:40,040 --> 00:50:41,840
Speaker 1: particular groups from.

935
00:50:42,160 --> 00:50:46,200
Speaker 5: So weird, it's a completely baffling list of groups, like

936
00:50:46,200 --> 00:50:48,360
Speaker 5: even looking at like gree karachist groups.

937
00:50:48,400 --> 00:50:51,040
Speaker 3: I mean, my guess is that someone in the Trump

938
00:50:51,120 --> 00:50:55,319
Speaker 3: administration has a friend in or Bond's administration and ask

939
00:50:55,400 --> 00:50:58,120
Speaker 3: them here some antifas we can go After that, you

940
00:50:58,200 --> 00:51:00,480
Speaker 3: guys like you know, Europe.

941
00:51:00,760 --> 00:51:03,920
Speaker 2: Yeah, the Greek anarchist groups specifically are some of the

942
00:51:03,960 --> 00:51:05,640
Speaker 2: more interesting inclusions here.

943
00:51:05,800 --> 00:51:08,560
Speaker 5: They're not the Greek anarchist groups you would expect them

944
00:51:08,719 --> 00:51:10,040
Speaker 5: to be going after.

945
00:51:10,520 --> 00:51:11,720
Speaker 2: It's very weird.

946
00:51:12,239 --> 00:51:15,760
Speaker 1: Yeah, Like they're not groups I was familiar with. Likely

947
00:51:15,960 --> 00:51:17,759
Speaker 1: you know, I don't speak Greek, I don't, I don't

948
00:51:17,840 --> 00:51:18,319
Speaker 1: read Greek.

949
00:51:18,320 --> 00:51:18,560
Speaker 4: I don't.

950
00:51:18,600 --> 00:51:20,360
Speaker 1: I don't pay that much attention to that part of

951
00:51:20,400 --> 00:51:22,759
Speaker 1: the world. But like, there are other groups which are

952
00:51:22,800 --> 00:51:28,640
Speaker 1: more notorious. Like, it's very odd that they've come up

953
00:51:28,680 --> 00:51:30,920
Speaker 1: with the anti for usd one, a Greek garrison. I

954
00:51:30,960 --> 00:51:35,000
Speaker 1: think the lineage is more obvious that the other three. Yeah,

955
00:51:35,000 --> 00:51:37,520
Speaker 1: I'm not entirely clear on how they got to those.

956
00:51:37,560 --> 00:51:39,800
Speaker 1: If any you know, contact us if you have ideas.

957
00:51:40,640 --> 00:51:43,680
Speaker 1: The other terrorist designation that happened this week, which is

958
00:51:43,760 --> 00:51:48,600
Speaker 1: breaking as we record on Wednesday, the nineteenth of November,

959
00:51:49,200 --> 00:51:55,279
Speaker 1: is that Greg Abbott has declared care this Center for

960
00:51:55,320 --> 00:51:59,840
Speaker 1: American Islamic Relations and the Muslim Brotherhood as foreign to

961
00:52:00,200 --> 00:52:08,839
Speaker 1: US organizations. Jesus yeah, Jesus Christ. Texas doesn't appear to

962
00:52:08,960 --> 00:52:12,480
Speaker 1: have an FTO list as far as I can tell.

963
00:52:13,280 --> 00:52:17,320
Speaker 1: What this seems to be is a designation under SB seventeen,

964
00:52:17,400 --> 00:52:20,879
Speaker 1: which parts passed earlier this year, which relates to property law.

965
00:52:21,400 --> 00:52:24,239
Speaker 1: It would stop the Muslim Brotherhood or Care as a

966
00:52:24,320 --> 00:52:27,719
Speaker 1: national five oh one C three renting or buying property

967
00:52:27,760 --> 00:52:32,640
Speaker 1: in Texas. I'm not sure the Muslim Brotherhood intended to

968
00:52:32,760 --> 00:52:36,400
Speaker 1: rent or buy property in Texas. Most of SB seventeen

969
00:52:36,440 --> 00:52:40,080
Speaker 1: deals with with like nationals and entities linked to like China, Russia,

970
00:52:40,120 --> 00:52:42,440
Speaker 1: and North Korea. It's trying to not have them by

971
00:52:42,520 --> 00:52:45,719
Speaker 1: large chunks of Texas. But it also does have this

972
00:52:45,719 --> 00:52:50,080
Speaker 1: this mechanism in it. So again, just Muslim Brotherhood is

973
00:52:50,080 --> 00:52:53,600
Speaker 1: the sunniest limits organization. It has participated in violence, but

974
00:52:53,640 --> 00:52:55,840
Speaker 1: not for some time. It has its origines in Egypt.

975
00:52:56,160 --> 00:52:59,480
Speaker 1: It does a lot of like social programming CARE most

976
00:52:59,520 --> 00:53:02,640
Speaker 1: people we've familiar with right Care has already issued a

977
00:53:02,640 --> 00:53:05,359
Speaker 1: response letter, and in their letter they said, quote, your

978
00:53:05,400 --> 00:53:08,279
Speaker 1: proclamation has no basis in law or fact. You do

979
00:53:08,360 --> 00:53:10,960
Speaker 1: not have the authority to you latterly declare any Americans

980
00:53:11,040 --> 00:53:14,120
Speaker 1: or American institutions terrorist groups, nor is there any basis

981
00:53:14,160 --> 00:53:17,279
Speaker 1: to level this smear against the organization. It's probably worth

982
00:53:17,320 --> 00:53:21,160
Speaker 1: noting that there was a dog investigation into epic, not

983
00:53:21,280 --> 00:53:24,399
Speaker 1: that epic, the one you're thinking of, probably, but this

984
00:53:24,440 --> 00:53:28,600
Speaker 1: is the El Paso Islamic Center. That investigation was closed, right,

985
00:53:28,600 --> 00:53:30,759
Speaker 1: but this is not the first time that they have

986
00:53:30,880 --> 00:53:38,080
Speaker 1: attempted to It's just very clearly in Islamophobia out of Texas, right, Like,

987
00:53:38,120 --> 00:53:39,200
Speaker 1: that is what this is.

988
00:53:40,040 --> 00:53:42,719
Speaker 5: There's also just an ancient sort of Obama era conspiracy

989
00:53:42,760 --> 00:53:45,080
Speaker 5: where all of these people were all convinced that the

990
00:53:45,120 --> 00:53:47,040
Speaker 5: Obama was part of the Muslim Brotherhood and that there

991
00:53:47,080 --> 00:53:49,319
Speaker 5: was this whole network of Muslim Brotherhood operatives that were

992
00:53:49,320 --> 00:53:53,960
Speaker 5: like running the country and really sort of if you

993
00:53:54,120 --> 00:53:56,279
Speaker 5: squit hard enough, it was like, well, there's a bunch

994
00:53:56,320 --> 00:53:59,360
Speaker 5: of people from the UAE who are kind of involved

995
00:53:59,440 --> 00:54:02,719
Speaker 5: in some off but this is like one of their

996
00:54:02,760 --> 00:54:06,239
Speaker 5: they're kind of fusing this old school like old old

997
00:54:06,239 --> 00:54:11,480
Speaker 5: schools allophobic stuff with their like kind of very specific

998
00:54:11,520 --> 00:54:15,320
Speaker 5: current contemporary targets. Bye, that's sort of running these two together.

999
00:54:15,480 --> 00:54:18,279
Speaker 1: Yeah, me, it's rightly. I think Ted Cruz has has

1000
00:54:18,320 --> 00:54:21,040
Speaker 1: tried to get the Muslim Brotherhood on the FTO list

1001
00:54:21,080 --> 00:54:24,880
Speaker 1: like several times. Yeah, there's this old like from like

1002
00:54:24,920 --> 00:54:27,920
Speaker 1: the golden age right wing conspiracies, right, like the Bohemian

1003
00:54:28,000 --> 00:54:30,719
Speaker 1: grove era. That's this idea that yeah, they're on, Like,

1004
00:54:30,920 --> 00:54:32,960
Speaker 1: it's like a fifty or one hundred year plan to

1005
00:54:33,200 --> 00:54:36,160
Speaker 1: bring the US and the Sharia lore and like, yeah,

1006
00:54:36,440 --> 00:54:41,279
Speaker 1: it's it's old, it's it's boomer stuff. Yes, combined with

1007
00:54:41,400 --> 00:54:44,759
Speaker 1: now trying to explicit eld them to hamas right, So yeah,

1008
00:54:44,800 --> 00:54:46,360
Speaker 1: that that is great.

1009
00:54:46,680 --> 00:54:49,279
Speaker 2: That that's not great. I would agree, James, I think

1010
00:54:49,320 --> 00:54:51,480
Speaker 2: that's not great. I'll be brave enough to say it.

1011
00:54:52,360 --> 00:54:55,560
Speaker 1: You know, it is a it's an assault on the

1012
00:54:56,440 --> 00:54:58,719
Speaker 1: First Amendment. Like, the the stuff.

1013
00:54:58,480 --> 00:55:01,680
Speaker 2: The inclusion of care is is like is absolutely outrageous.

1014
00:55:01,719 --> 00:55:04,200
Speaker 1: Ye, KERR is a very respectability for a civil rights

1015
00:55:04,840 --> 00:55:06,400
Speaker 1: like liberal civil rights.

1016
00:55:06,520 --> 00:55:08,600
Speaker 3: They're the least threatening organization in the world.

1017
00:55:08,880 --> 00:55:12,960
Speaker 1: Yeah, no, like, and they have advocated for an end

1018
00:55:13,000 --> 00:55:15,040
Speaker 1: to the genocide of people in Palestine, which is a

1019
00:55:15,040 --> 00:55:18,560
Speaker 1: perfectly reasonable and legal thing to advocate for. They have

1020
00:55:18,719 --> 00:55:23,759
Speaker 1: not expressed support for political violence. Care Is is like

1021
00:55:24,080 --> 00:55:27,839
Speaker 1: as as protected by the First Amendment as things can

1022
00:55:27,880 --> 00:55:32,120
Speaker 1: be in this country. This is bonkers. So yeah, I

1023
00:55:32,120 --> 00:55:36,719
Speaker 1: guess care is already presumably preparing a court case.

1024
00:55:37,400 --> 00:55:42,000
Speaker 2: In other Texas news, a three panel judge in Texas

1025
00:55:42,080 --> 00:55:46,520
Speaker 2: just struck down Texas is newly drawn congressional map in

1026
00:55:46,640 --> 00:55:52,000
Speaker 2: federal court, with Trump appointed Judge Jeffrey Brown finding that quote,

1027
00:55:52,200 --> 00:55:56,960
Speaker 2: substantial evidence shows that Texas racially gerrymandered the twenty twenty

1028
00:55:57,040 --> 00:56:01,319
Speaker 2: five map unquote. The judge has required Texas use its

1029
00:56:01,320 --> 00:56:06,520
Speaker 2: previous twenty twenty one map for the upcoming midterm elections.

1030
00:56:06,880 --> 00:56:11,120
Speaker 2: What's really what's really funny here is that before the

1031
00:56:11,160 --> 00:56:15,560
Speaker 2: elections in November, where the California redistricting measure was up

1032
00:56:15,560 --> 00:56:20,799
Speaker 2: for vote, Newsom specifically removed language in that measure that

1033
00:56:21,040 --> 00:56:26,200
Speaker 2: framed the California redistricting as a triggering event, as in,

1034
00:56:26,800 --> 00:56:29,839
Speaker 2: if the Texas one passes, then the California one can

1035
00:56:29,840 --> 00:56:32,480
Speaker 2: go into effect. You've specifically removed this.

1036
00:56:33,000 --> 00:56:34,560
Speaker 1: Yeah, the trigger language.

1037
00:56:34,200 --> 00:56:38,680
Speaker 2: Wasn't, which means that California now doesn't wipe down five

1038
00:56:38,680 --> 00:56:42,239
Speaker 2: Republican seats and Texas probably won't be able to do

1039
00:56:42,280 --> 00:56:43,160
Speaker 2: anything about it.

1040
00:56:43,400 --> 00:56:47,680
Speaker 1: That's still a challenge the California GOPI also trying to challenge.

1041
00:56:47,440 --> 00:56:49,959
Speaker 2: Yes, and this Texas case is set to be heard

1042
00:56:50,000 --> 00:56:54,680
Speaker 2: before the Supreme Court. There's a few other redistricting measures

1043
00:56:54,719 --> 00:56:58,879
Speaker 2: I think in Louisiana and in North Carolina. A few

1044
00:56:58,880 --> 00:57:01,880
Speaker 2: other states are trying to do this, But there is

1045
00:57:01,920 --> 00:57:05,200
Speaker 2: a possible future in which Texas is not allowed to

1046
00:57:05,320 --> 00:57:09,840
Speaker 2: racially jerrymander and California is able to go forward with

1047
00:57:09,880 --> 00:57:14,799
Speaker 2: their redistricting because it may not have been specifically violating

1048
00:57:15,040 --> 00:57:19,760
Speaker 2: this like a racial gerrymandering aspect that Judge Jeffrey Brown

1049
00:57:19,840 --> 00:57:22,760
Speaker 2: found was affecting the Texas maps intentionally.

1050
00:57:23,320 --> 00:57:27,440
Speaker 1: The GOP claim is that California is quote favoring Hispanic voters.

1051
00:57:27,840 --> 00:57:31,680
Speaker 1: That's going good. It's gonna be a harder landing to stick, right,

1052
00:57:31,840 --> 00:57:35,520
Speaker 1: given that there are Latino people in every square mile

1053
00:57:35,560 --> 00:57:38,800
Speaker 1: of California, Like, yeah, it's gonna be a rougher one

1054
00:57:38,800 --> 00:57:39,080
Speaker 1: for them.

1055
00:57:39,280 --> 00:57:42,160
Speaker 2: And specifically, the stuff that Judge Brown found is like

1056
00:57:42,760 --> 00:57:45,640
Speaker 2: in the way that these districts were redrawn, it was

1057
00:57:45,680 --> 00:57:48,120
Speaker 2: to totally exclude non white voters and some of these

1058
00:57:48,120 --> 00:57:50,080
Speaker 2: districts all right.

1059
00:57:50,120 --> 00:57:53,240
Speaker 1: One for the train fans in the audience. A section

1060
00:57:53,480 --> 00:57:57,000
Speaker 1: of railway that connects Warsaw to Lublin in southeastern Poland,

1061
00:57:57,400 --> 00:58:01,080
Speaker 1: which then connects onto Ukraine was destroyed by an explosion

1062
00:58:01,160 --> 00:58:04,960
Speaker 1: earlier this week. Overhead cables further down the track were

1063
00:58:05,000 --> 00:58:10,640
Speaker 1: also damaged. This comes as drone incursions into European space continue.

1064
00:58:11,280 --> 00:58:14,320
Speaker 1: Donald Tusk, the Police Prime Minister, called the ex sabotage,

1065
00:58:14,360 --> 00:58:18,400
Speaker 1: and it seems extremely likely that he is correct about that. Right.

1066
00:58:19,120 --> 00:58:22,680
Speaker 1: I guess we haven't explicitly covered this on ed very much,

1067
00:58:22,960 --> 00:58:26,960
Speaker 1: but there have been dozens of documented Russian operations in

1068
00:58:27,000 --> 00:58:31,880
Speaker 1: Europe since the the expanded invasion of Ukraine that began

1069
00:58:31,880 --> 00:58:36,600
Speaker 1: in twenty twenty one. What's concerning to me about this

1070
00:58:37,000 --> 00:58:39,080
Speaker 1: is that Europe is responding to some of these by

1071
00:58:39,080 --> 00:58:43,720
Speaker 1: accusing Russia of trying to quote destabilize polities by sending

1072
00:58:43,840 --> 00:58:48,320
Speaker 1: migrants there. It's likely true that Russia is messing with

1073
00:58:48,400 --> 00:58:52,640
Speaker 1: migration flows. It is demonstrably true in some cases. Right.

1074
00:58:53,160 --> 00:58:57,880
Speaker 1: Responding to this by hardening borders deploying troops to borders

1075
00:58:58,760 --> 00:59:02,720
Speaker 1: is not the solution to that problem. Europe's Iron border

1076
00:59:03,080 --> 00:59:07,240
Speaker 1: kills more people than any other border, and hardening that

1077
00:59:07,320 --> 00:59:09,080
Speaker 1: border is only going to kill more people. Like if

1078
00:59:09,120 --> 00:59:12,000
Speaker 1: you want to be the shining city on a hill, right,

1079
00:59:12,040 --> 00:59:14,320
Speaker 1: if you want to be, I think that title is

1080
00:59:14,320 --> 00:59:16,840
Speaker 1: maybe up for grabs. If you want to be the

1081
00:59:16,920 --> 00:59:19,960
Speaker 1: place that stands out as like a safe place for democracy,

1082
00:59:20,400 --> 00:59:24,480
Speaker 1: you don't do that by killing migrants, and so Europe's

1083
00:59:24,480 --> 00:59:28,080
Speaker 1: response to this is extremely disappointing, right, and I wanted

1084
00:59:28,120 --> 00:59:30,960
Speaker 1: to highlight that because I don't see that in the coverage. Yes,

1085
00:59:31,480 --> 00:59:36,120
Speaker 1: Russia escalating it's meddling in Europe is extremely concerning. But

1086
00:59:36,720 --> 00:59:40,080
Speaker 1: if we accept that Russia is a totalitarian state or

1087
00:59:40,120 --> 00:59:42,760
Speaker 1: going in that direction, then we should also therefore accept

1088
00:59:42,800 --> 00:59:44,480
Speaker 1: that people are going to want to leave that and

1089
00:59:44,560 --> 00:59:48,160
Speaker 1: many other states where they cannot have autonomy, where they

1090
00:59:48,160 --> 00:59:51,200
Speaker 1: cannot live healthy and full lives, and we should welcome them.

1091
00:59:51,600 --> 00:59:54,760
Speaker 1: Talking of people leaving places where they cannot have autonomy

1092
00:59:54,760 --> 00:59:56,920
Speaker 1: and have full and happy lives, let's talk about immigration

1093
00:59:56,960 --> 01:00:00,920
Speaker 1: in the United States. Very quickly, border patrol named Gregory

1094
01:00:01,040 --> 01:00:06,520
Speaker 1: Bovino have moved their internal enforcement I of Sauron to Charlotte,

1095
01:00:06,600 --> 01:00:11,360
Speaker 1: North Carolina. Seems in large part due to some racists

1096
01:00:11,360 --> 01:00:13,800
Speaker 1: on x dot com demining that they do so. I

1097
01:00:13,800 --> 01:00:16,440
Speaker 1: shouldn't say in large part, I guess in some part

1098
01:00:16,600 --> 01:00:20,560
Speaker 1: there has been video already showing Bovino participating in detentions

1099
01:00:20,600 --> 01:00:24,400
Speaker 1: at a home depot car park. I've said two words there,

1100
01:00:24,440 --> 01:00:26,760
Speaker 1: which of coursed one of my colleagues, a smirky giggle

1101
01:00:26,800 --> 01:00:31,520
Speaker 1: at me stand by both of them. So yeah, it

1102
01:00:31,560 --> 01:00:33,560
Speaker 1: is in part right due to x dot com the

1103
01:00:33,560 --> 01:00:38,480
Speaker 1: Everything website being a haven for racism. But I think

1104
01:00:38,520 --> 01:00:42,040
Speaker 1: it's also worth noting in twenty eighteen, Democratic sheriffs in

1105
01:00:42,160 --> 01:00:45,880
Speaker 1: five North Carolina counties ran on the platform of not

1106
01:00:46,120 --> 01:00:50,080
Speaker 1: cooperating with ICE. All of these I believe were black sheriffs,

1107
01:00:50,280 --> 01:00:54,920
Speaker 1: and ICE pushed back hard right, including with a billboard campaign.

1108
01:00:55,680 --> 01:00:59,439
Speaker 1: Last year, the North Carolina Republican state Legislature over rote

1109
01:00:59,440 --> 01:01:03,520
Speaker 1: a Vito to pass AGB ten, which required agencies to

1110
01:01:03,600 --> 01:01:07,280
Speaker 1: cooperate with ICE and honor their detainers. A detainer is

1111
01:01:07,320 --> 01:01:10,320
Speaker 1: basically when ICE is like, hey, you've arrested this person.

1112
01:01:10,440 --> 01:01:12,360
Speaker 1: We want you to hold them for a bit longer

1113
01:01:12,800 --> 01:01:15,280
Speaker 1: so we can come pick them up for ICE reasons.

1114
01:01:15,920 --> 01:01:20,600
Speaker 1: Since then, Meckleberg County Sheriff McFadden has claimed that ICE

1115
01:01:20,640 --> 01:01:23,960
Speaker 1: has failed to collect people on detainers one hundred and

1116
01:01:24,000 --> 01:01:27,600
Speaker 1: sixty three times. So this will be. They would normally

1117
01:01:27,600 --> 01:01:29,440
Speaker 1: have a forty eight hour detainer, right, they're more than

1118
01:01:29,480 --> 01:01:33,080
Speaker 1: forty eight extra hours I should come get when they

1119
01:01:33,080 --> 01:01:35,480
Speaker 1: are held on the detainer. It is still the state

1120
01:01:35,520 --> 01:01:37,520
Speaker 1: that is responsible for them. It is a state that

1121
01:01:37,640 --> 01:01:40,360
Speaker 1: is paying for the cost of incarcerating that person, it

1122
01:01:40,440 --> 01:01:42,720
Speaker 1: is the state that is still incarcerating that person.

1123
01:01:42,800 --> 01:01:43,000
Speaker 3: Right.

1124
01:01:43,600 --> 01:01:47,920
Speaker 1: This has led, I guess, to Republicans claiming the McFadden

1125
01:01:47,960 --> 01:01:51,680
Speaker 1: is ignoring his obligation under HB ten. McFadden says he isn't.

1126
01:01:51,720 --> 01:01:53,600
Speaker 1: He is holding them for the duration of detainer, but

1127
01:01:53,600 --> 01:01:55,800
Speaker 1: then releasing them when no one comes to get them. Right.

1128
01:01:56,600 --> 01:01:59,160
Speaker 1: This has led to like CIS right, It's Center for

1129
01:01:59,160 --> 01:02:02,760
Speaker 1: Immigration Study SBOC has designated it as a hate group.

1130
01:02:03,520 --> 01:02:08,160
Speaker 1: CIS has listed Charlotte and Mecklenburg County on its map

1131
01:02:08,160 --> 01:02:11,920
Speaker 1: of quote unquote sanctuary jurisdictions. There's a link to the

1132
01:02:11,920 --> 01:02:13,080
Speaker 1: map if you want to look at it. They actually

1133
01:02:13,160 --> 01:02:15,760
Speaker 1: cite the twenty eighteen policy and don't even mention HB ten.

1134
01:02:15,880 --> 01:02:18,560
Speaker 1: So it's unclear to me if they haven't updated this

1135
01:02:18,680 --> 01:02:20,560
Speaker 1: map or if they just believe that nothing has changed

1136
01:02:20,560 --> 01:02:23,480
Speaker 1: because they believe that HB ten is being ignored. I

1137
01:02:23,560 --> 01:02:26,200
Speaker 1: think that might be a lot of the reason why

1138
01:02:26,240 --> 01:02:29,080
Speaker 1: we're seeing this now. Then, finally, I want to talk

1139
01:02:29,120 --> 01:02:34,040
Speaker 1: about something local. Southern California, in Temecula, north of San Diego,

1140
01:02:34,440 --> 01:02:38,000
Speaker 1: seventeen year old boy was pulled over at gunpoint by

1141
01:02:38,040 --> 01:02:40,920
Speaker 1: a man who was known to locals as an ICE agent.

1142
01:02:41,360 --> 01:02:43,680
Speaker 1: The man does not appear to have been in his

1143
01:02:43,800 --> 01:02:47,720
Speaker 1: professional capacity at this time. Neighbors were able to de

1144
01:02:47,880 --> 01:02:52,280
Speaker 1: escalate the situation and get Gerardo Rodriguez, the man in question,

1145
01:02:52,400 --> 01:02:55,040
Speaker 1: to stop pointing his gun at the teen. La Tucker

1146
01:02:55,120 --> 01:02:57,840
Speaker 1: got video of this. It is wild. The guy is

1147
01:02:57,880 --> 01:02:59,880
Speaker 1: just in the middle of the road with a handgun

1148
01:03:00,080 --> 01:03:02,480
Speaker 1: point to get at a truck that's driving down the street.

1149
01:03:03,160 --> 01:03:06,720
Speaker 1: Rodriguez accuses the young man he's seventeen years old and

1150
01:03:06,720 --> 01:03:08,720
Speaker 1: we're going to say his name right as a child

1151
01:03:09,120 --> 01:03:12,880
Speaker 1: of speeding in the neighborhood, not generally something that warrants

1152
01:03:13,000 --> 01:03:16,760
Speaker 1: drawing a firearm. Rodriguez was detained by the Riverside County

1153
01:03:16,800 --> 01:03:20,480
Speaker 1: Sheriff's Office. I believe he's bonded out now that this

1154
01:03:21,040 --> 01:03:26,000
Speaker 1: is an interesting development. Right elsewhere, like in Santa Ana,

1155
01:03:26,320 --> 01:03:29,840
Speaker 1: an agent pulled a gun on a community watch member.

1156
01:03:29,960 --> 01:03:33,160
Speaker 1: Fullerton police on the scene did not detain the person.

1157
01:03:33,760 --> 01:03:37,160
Speaker 1: They also refuse to assist, right, they just kind of

1158
01:03:37,200 --> 01:03:40,360
Speaker 1: were present. But this is one of the few cases

1159
01:03:40,400 --> 01:03:43,600
Speaker 1: I'm aware of an Ice agent. There was someone else

1160
01:03:43,920 --> 01:03:47,480
Speaker 1: arrested in a who I believe died. I believe that

1161
01:03:47,600 --> 01:03:50,520
Speaker 1: was a Border Patrol agent that first unfortunately passed away

1162
01:03:50,520 --> 01:03:53,280
Speaker 1: of an overdose. But this is one of the first

1163
01:03:53,280 --> 01:03:57,120
Speaker 1: instances I've seen of this right of a kind of

1164
01:03:57,160 --> 01:04:01,280
Speaker 1: a state federal direct confront where this guy appears to

1165
01:04:01,400 --> 01:04:05,720
Speaker 1: have been pseudo claiming that he was acting under his

1166
01:04:06,400 --> 01:04:08,880
Speaker 1: authority as an ICE agent. That's not entirely clear to me.

1167
01:04:09,480 --> 01:04:12,120
Speaker 1: The young man's parents that rushed a scene with the

1168
01:04:12,160 --> 01:04:14,640
Speaker 1: young man's passport, but by that point neighbors had already

1169
01:04:14,680 --> 01:04:17,400
Speaker 1: been able to de escalate them. So yeah, I'm going

1170
01:04:17,440 --> 01:04:21,040
Speaker 1: to keep an eye on this because I think it's interesting.

1171
01:04:21,640 --> 01:04:24,560
Speaker 1: All right, this week we have a fundraiser from Borderlands

1172
01:04:24,560 --> 01:04:27,160
Speaker 1: Relief Collective. I know they're helping a lot of people

1173
01:04:27,360 --> 01:04:29,320
Speaker 1: who need a lot of help right now, some folks

1174
01:04:29,320 --> 01:04:32,120
Speaker 1: whose roofs are really struggling to keep up with the

1175
01:04:32,160 --> 01:04:35,480
Speaker 1: recent rainstorms so we've had in southern California. They have

1176
01:04:35,520 --> 01:04:40,120
Speaker 1: an Amazon wish list. The url is too long for

1177
01:04:40,200 --> 01:04:42,720
Speaker 1: me to read out to you, so we will include

1178
01:04:42,720 --> 01:04:44,240
Speaker 1: it in the show notes. If you'd like to help,

1179
01:04:44,440 --> 01:04:47,160
Speaker 1: you can look on that and buy something for someone.

1180
01:04:47,560 --> 01:04:48,040
Speaker 1: Thank you.

1181
01:04:48,720 --> 01:04:53,600
Speaker 3: All right, Well, folks, this has been the news. Goodbye.

1182
01:04:54,840 --> 01:05:02,200
Speaker 2: We reported the news. We reported the news.

1183
01:05:05,720 --> 01:05:08,240
Speaker 10: It could happen here is a production of cool Zone Media.

1184
01:05:08,400 --> 01:05:11,400
Speaker 10: For more podcasts from cool Zone Media, visit our website

1185
01:05:11,520 --> 01:05:15,120
Speaker 10: coolzonmedia dot com, or check us out on the iHeartRadio app,

1186
01:05:15,160 --> 01:05:18,720
Speaker 10: Apple Podcasts, or wherever you listen to podcasts. You can

1187
01:05:18,800 --> 01:05:21,120
Speaker 10: now find sources where it could happen here listed directly

1188
01:05:21,120 --> 01:05:23,440
Speaker 10: in episode descriptions. Thanks for listening.