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Speaker 1: Cool media.

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

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Speaker 2: news class covering what's happening in the White House, the

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Speaker 2: crumbling world, and what it means for you. I'm Garrison

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Speaker 2: Davis today, joined by Mia Wong, James Toute, and Robert Evans. Yes, Taco,

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Speaker 2: Trump sweeps the nation, Musk is out with Stephen Miller's wife,

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Speaker 2: Liberation Day, tariffs or fought in court. This episode covering

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Speaker 2: the week of May twenty eighth to June four.

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Speaker 1: So much good stuff this week also a terrorist attack

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Speaker 1: not good. But before we get into that, I want

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Speaker 1: to let you guys know, I watched the movie Mountainhead,

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Speaker 1: and then I had a dream starring all of you

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Speaker 1: in the movie Mountainhead, and it went a lot better

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Speaker 1: since we were just skiing and enjoying the woods.

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Speaker 3: Nice.

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Speaker 1: I don't know, nobody launched an AI that destroyed civilization.

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Speaker 1: Steve Carell wasn't there. Actually, I wouldn't mind hanging out

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Speaker 1: with Steve Carell, but not the Steve Carrell from that

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Speaker 1: movie anyway. Interesting movie.

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Speaker 4: Uh yeah, interesting dream too, Bet the sounds of it.

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Speaker 2: Wow, Thanks for that that quick Robert film review.

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Speaker 4: Thanks for sharing, Bud. Yeah.

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Speaker 2: I guess side piece of news that we weren't focusing

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Speaker 2: on like much today, but we will do a piece

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Speaker 2: on in the future is trumps coud a deal with

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Speaker 2: Palanteer to create an extensive new database that compiles information

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Speaker 2: on everybody in the country. This covers bank numbers, student debt,

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Speaker 2: medical claims, disability status. I think this summer myself for

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Speaker 2: a few other people on this episode, we'll we'll work

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Speaker 2: together on an episode just about surveillance, like Flock Gideon Foundry.

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Speaker 2: These these surveillance systems that are getting like spread all

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Speaker 2: across the country. So we will do a whole episode

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Speaker 2: on that in the future. But let's start with that

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Speaker 2: and then pivots to Robert Evans to discuss terrorism.

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Speaker 1: I hardly know herorism. Someone else should continue the episode. Now, No,

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Speaker 1: this is your this is your Sorry, that was a

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Speaker 1: perfect segue.

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Speaker 3: Nobody's bailing you out of this ship.

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Speaker 4: Yeah, we're fine.

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Speaker 1: Oh my god, all right, let me pull Let me

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Speaker 1: pull up the right the proper dock. Because I did

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Speaker 1: this on my Chichescu doc because we recorded both of

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Speaker 1: those episodes today.

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Speaker 4: God, what a hotwarming day you've had.

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Speaker 3: Robot.

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Speaker 1: Oh yeah, Chichescu, a guy fire bombing a rally in Denver.

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Speaker 1: It's it's all been really good stuff. Yeah, mostly mostly chill. Thanks.

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Speaker 1: So on June second, there was a rally in Boulder,

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Speaker 1: Colorado for a group that was protesting for hostages that

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Speaker 1: were taken by Hamas on October seventh. There's like, I

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Speaker 1: think fifty somewhere around fifty who are still unaccounted for

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Speaker 1: for varying reasons. And that was that was what approach

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Speaker 1: was for. And there was like, there was like a

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Speaker 1: gathering and they were supposed to be doing like a run, right,

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Speaker 1: in order to raise awareness about the hostages, right, So

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Speaker 1: that's that's that's the event that happened on the second

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Speaker 1: and a man approached during that gathering, Mohammed Sabri Soloman,

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Speaker 1: and he started throwing molotov cocktails. Every story I have

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Speaker 1: gives slightly different numbers for how many molotovs he had

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Speaker 1: prepared and how many he had when he was taken.

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Speaker 1: Like an AP News story said that he had sixteen

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Speaker 1: unused molotovs that were covered by law enforcement after the attack,

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Speaker 1: but I think CNN said fourteen, Yeah, fourteen unlit molotovs.

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Speaker 1: So it's kind of clear to be how many they were,

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Speaker 1: but he threw a number of these at the group

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Speaker 1: of demonstrators. He also had what's described in most of

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Speaker 1: the articles I find as an improvised flamethrower. And so

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Speaker 1: you know, when I heard that, my first question was,

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Speaker 1: like a makeshift flamethrower. Sorry was the exact term the

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Speaker 1: police used. And when I first heard that, I was like, well,

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Speaker 1: that could mean a lot of things. They could literally

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Speaker 1: just feel like he had like a cand of like spray,

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Speaker 1: that's that's flammable that he liked.

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Speaker 4: A writer up to could have link steeredro No, it.

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Speaker 1: Was apparently like a fertilizer or pesticide sprayer type deal

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Speaker 1: that he had fuel in, right, So it actually was

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Speaker 1: a makeshift flamethrower he was attempting, but he did not

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Speaker 1: use it on the demonstrators. He did burn himself pretty badly.

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Speaker 1: He had like body armor on that he took off

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Speaker 1: after he Like basically what seems to have happened is

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Speaker 1: he throws something like half a dozen firebombs at this crowd,

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Speaker 1: and he injures a number of people, several of them

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Speaker 1: quite severely. There's at least last I checked six people

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Speaker 1: who are still in the hospital, one in critical condition,

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Speaker 1: although that may have changed since we recorded this podcast.

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Speaker 1: The victims who were wounded range in age from fifty

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Speaker 1: two to eighty eight. And yeah, so he hurts a

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Speaker 1: number of people with these molotovs, and then the way

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Speaker 1: he described it, he like felt like he couldn't continue

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Speaker 1: going through with the attack. He had been planning this

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Speaker 1: thing for more than a year, we know, or at

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Speaker 1: least that's what he claimed, and he's he basically said that, like, yeah,

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Speaker 1: once I actually started it, I found it very difficult

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Speaker 1: to continue. So it seems like he kind of like

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Speaker 1: didn't go as far with this thing as he could have,

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Speaker 1: because it turns out lighting people on fire, even when

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Speaker 1: you're very angry, is something that most people cannot bring

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Speaker 1: themselves to do. Past this certain point, he is on

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Speaker 1: video screaming Palestinas free, and he stated to the authorities

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Speaker 1: that when he'd been planning this for a year, his

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Speaker 1: goal was to kill Zionists. So, you know, this is

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Speaker 1: it's very clear like what this is motivated by, right,

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Speaker 1: Like what his motivation was. His background is interesting. I

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Speaker 1: guess you'd say he and his family come from Egypt.

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Speaker 1: And yeah. He attended Like high school in Egypt and

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Speaker 1: later moved to Kuwait. He has a history of like.

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Speaker 1: It seems like he kind of got politically active during

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Speaker 1: the Arab Spring. He posted a bunch of pictures of

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Speaker 1: Mohammed Morsey, the leader of the Muslim Brotherhood who served

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Speaker 1: as Egypt's president from twenty twelve to twenty thirteen. He

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Speaker 1: protested against the military coup that removed Morsey from power,

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Speaker 1: and he and his family entered the United States in

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Speaker 1: August of twenty twenty two as a non immigrant visitor,

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Speaker 1: and in twenty twenty three he received a two year

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Speaker 1: work authorization, which expired in March. He had tried to

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Speaker 1: come to the US in two thousand and five. His

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Speaker 1: primary goal in coming here in twenty twenty two was

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Speaker 1: to get his daughter, primarily into a good medical school.

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Speaker 1: He moved there with his wife and his kids. His

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Speaker 1: daughter was on the process of graduating. They had been

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Speaker 1: living in Kuwait, but for a variety of weak reasons,

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Speaker 1: especially the fact that they were not citizens. She was like,

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Speaker 1: I'm not going to be able to go into medicine

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Speaker 1: in Kuwait. His daughter seems to be a very gifted

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Speaker 1: medical student and so they moved here and she got

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Speaker 1: into a medical school. And in fact, he seems to

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Speaker 1: have waited to carry out his attack until her graduation,

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Speaker 1: Like he wanted her to be started on her path

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Speaker 1: to becoming a doctor before he carried out this attack.

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Speaker 1: I think, both in the hope that it would protect

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Speaker 1: her and she wouldn't get forced out of the country,

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Speaker 1: which we'll talk about in a little bit, and I

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Speaker 1: think probably just be as easier todad and he wanted

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Speaker 1: to see her graduate, right, But then he carries out

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Speaker 1: this attack. His family does not seem to have known.

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Speaker 1: He basically left some messages for them as he left

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Speaker 1: to carry it out. His wife took his phone into

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Speaker 1: the authorities, which I read is her being like, I'm

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Speaker 1: at this point trying to do whatever I can to

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Speaker 1: make the government less likely to prosecute the rest of

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Speaker 1: my family. Like he's a writer, right, Like he like

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Speaker 1: like I can't be concerned about him, right, I've got kids,

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Speaker 1: you know, and.

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Speaker 4: Like potentially trying to stop anything else happening. If he was,

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Speaker 4: you know, like maybe he had other people who'd been

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Speaker 4: playing this with who are planning other things.

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Speaker 1: Right, she doesn't know did he build a bomb, Right,

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Speaker 1: she has no idea.

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Speaker 4: Yeah.

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Speaker 1: I should also note here that when he was planning

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Speaker 1: this attack, he initially planned to do a shooting. He

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Speaker 1: took a concealed carry class, or at least he told

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Speaker 1: investigators he took a concealed carry class. Right, he could

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Speaker 1: be lying about some of this. This is what the

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Speaker 1: police are reported. Yeah, but he took a concealed carry class.

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Speaker 1: But he was not able to buy a gun. The

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Speaker 1: AP News article says was denied because he's not a

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Speaker 1: legal US citizen. You don't have to be a citizen

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Speaker 1: to buy a gun. Yeah, that's not correct, but you

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Speaker 1: do have to be in the country legally, right, Like

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Speaker 1: you do not have to be a citizen to purchase

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Speaker 1: guns in this country, but you do have to be illegal.

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Speaker 4: I think you have to be a resident, like certain

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Speaker 4: visa categories.

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Speaker 1: There's a number of ways to get a gun, not

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Speaker 1: a citizen. But he was not able to Yeah, and

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Speaker 1: thank goodness, right, Like it's horrifying, Like obviously burning people

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Speaker 1: is horrifying. Like the injuries that these people suffered are

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Speaker 1: pretty are deeply Like there's no pleasant burn injury. But

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Speaker 1: people would have just died if he'd shot them, right, like, yeah,

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Speaker 1: that's just the reality of the situation.

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Speaker 4: That's already happened in Boulder once, like Bulder had a

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Speaker 4: mass shooting at a supermarket, right not so long ago.

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Speaker 1: Yeah, so that's the that's that's the bones of what

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Speaker 1: happened here.

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Speaker 2: No, I mean, having this like less than a week

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Speaker 2: after the Embassy shooting is pretty notable.

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Speaker 1: Not great. Yeah, speaks to the contagion way these kinds

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Speaker 1: of things spread.

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Speaker 2: Right exactly meanly las last week we talked about how

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Speaker 2: like this plays into like media that only benefits the

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Speaker 2: actions that Israel's continuing to take, and how much a

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Speaker 2: media attention was going towards the shooting and like the

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Speaker 2: immediate aftermath. And something that I found a little bit

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Speaker 2: interesting is how fast that story kind of went away,

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Speaker 2: which which I wasn't really expecting. I thought it would.

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Speaker 2: It would they would be you know, relevant for a

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Speaker 2: little bit longer. People will try to keep it relevant

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Speaker 2: for a little bit longer. I think part of the

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Speaker 2: reason why maybe it went away faster than what we

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Speaker 2: thought is so that it would not encourage like a

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Speaker 2: copycat attacks. And that still seems to happen to a degree,

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Speaker 2: And I mean it sounds like this guy was planning

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Speaker 2: something for a little bit longer, yes, but certainly having

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Speaker 2: that other shooting in a close time proximity is notable.

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Speaker 1: Yeah, I mean, And the unfortunate reality is that, like,

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Speaker 1: I'm sure there's someone else, multiple other people who have

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Speaker 1: been planning for different periods of time, other kinds of attacks,

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Speaker 1: and we will continue to see stuff like this happen.

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Speaker 5: Right.

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Speaker 1: Some of this is when something as terrible as the

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Speaker 1: datacide happening in Gaza is happening on a small screen

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Speaker 1: in front of your face, and you are consuming hours

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Speaker 1: of the curated worst footage of it every day. People

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Speaker 1: are going to react, and they're not always going to

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Speaker 1: react in the most like thoughtful way. Sometimes they're going

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Speaker 1: to make a bunch of fucking fire bombs and attack

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Speaker 1: a group of people who there's not really any argument

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Speaker 1: that these particular groups of people had anyone at any influence.

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Speaker 2: Any any material consequence.

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Speaker 1: Any power in the Israeli government, but.

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Speaker 4: One of them is a Holocaust survivor.

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Speaker 1: People are going to take irrational, terrible action that's just

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Speaker 1: going to happen.

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Speaker 4: You know, it breaks people. Yeah, kind of prolonged vicarious

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Speaker 4: trauma especially is not good for you.

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Speaker 2: I think a lot of this loan Wolf attack is

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Speaker 2: almost a way that people like cope with themselves after

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Speaker 2: watching this thing unfold on your screen, right, and then

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Speaker 2: as a response.

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Speaker 1: I have to do something, is what he said, right, Like,

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Speaker 1: I'm never gonna be able to live with myself ily

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Speaker 1: do something.

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Speaker 2: And then as a response, you use the violence of

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Speaker 2: a gun to carve your name into history.

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Speaker 4: And yeah, as someone who did something, I did something.

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Speaker 1: Yeah, this is this is something and you know it's

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Speaker 1: it's it's it's bad, like it just has it's just

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Speaker 1: some number of people. This is how they're they're going

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Speaker 1: to react and to an extent, I don't know, I

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Speaker 1: don't know how you seek to stop this. You know,

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Speaker 1: the authorities have like confirmed this guy was not on

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Speaker 1: anyone's watch list. I'm sure neither will the next guy

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Speaker 1: or gal who does something right like, this is the world.

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Speaker 1: Quite quite frankly, this is in part the world the

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Speaker 1: internet has made, right. Yeah, not that not that it

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Speaker 1: would be good if horrifying footage of the genocide and

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Speaker 1: Gaza wasn't getting out to people, But like, this isn't

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Speaker 1: the first time we have watched a series of attacks

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Speaker 1: carried out and copy attacks and copycat attacks like carried

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Speaker 1: out and spread as a result of things that are

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Speaker 1: spreading in digital media, right, Like this is this is

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Speaker 1: like a thing that's happened over and over again. This

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Speaker 1: is just kind of how the internet and radical violence

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Speaker 1: works well.

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Speaker 3: And it's one of those things where like, you know,

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Speaker 3: there is a clear way to end the violence, which

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Speaker 3: is to end the genocide, which is the other benefit

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Speaker 3: of ending the genocide, But these people have no interest

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Speaker 3: in that.

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Speaker 1: No, these people and don't I don't know how to

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Speaker 1: right like like like I don't like if you're asking, like, well,

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Speaker 1: how do we end the genocide? Where like I guess

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Speaker 1: you could get the entire international community to stop trading

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Speaker 1: or selling weapons to Israel and also blockade the country,

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Speaker 1: But like, well, then how do we do that? They're

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Speaker 1: not god right, Like, I can't I can't make them.

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Speaker 1: I can't make the US shoot down Israeli missiles or aircraft.

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Speaker 1: Like I don't have the ability to like yell our

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Speaker 1: government into doing that.

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Speaker 4: Yeah, it's how to you, right, Like, as a person

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Speaker 4: potentially a person who's isolating, I don't know, man, if

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Speaker 4: this person is isn't part of a community, right, hasn't

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Speaker 4: found community like processing that trauma and feeling like you

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Speaker 4: have to do something, some people's brains will break in

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Speaker 4: a way that leads to violence. Yeah, I want to

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Speaker 4: talk about state violence now, if that's okay, because I

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Speaker 4: think what he did was fucked up and wrong, and

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Speaker 4: no one should obviously be firebombing Holocaust survivor. I think

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Speaker 4: that's something we can agree on. What has happened to

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Speaker 4: his family is also wrong, right, like it you shouldn't

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Speaker 4: be punished for being related to someone who did a

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Speaker 4: bad thing, and.

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Speaker 1: Oh god, and this is yeah, this is also horrifying.

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Speaker 2: Yeah, yeah, the whole thing is a story of like

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Speaker 2: collateral damage.

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Speaker 4: Yeah. So the White House on four twelve pm on

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Speaker 4: the third of June tweeted zeated just In Colon, the

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Speaker 4: wife and five children of illegal alien Mohammed Solomon, the

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Speaker 4: suspect in the anti Semitic fire bombing of Jewish Americans,

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Speaker 4: have been captured, captured and are now in ICE custody

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Speaker 4: for expedited removal next parties in block capitals. They could

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Speaker 4: be deported as early as tonight. This is heartbreaking, right again,

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Speaker 4: Like we've talked about habeas before, but the foundation of

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Speaker 4: everything that legal systems based on English common law hold

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Speaker 4: is you have to have evidence that the person did

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Speaker 4: something wrong, not that they're related to the person who

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Speaker 4: did something wrong.

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Speaker 1: Right.

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Speaker 4: You know, both Robert and I are both intimately familiar

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Speaker 4: at least you know. I've received calls from young people

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Speaker 4: in Burma who we've interviewed whose families have been captured

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Speaker 4: because of their part is based on the revolution, and like, yeah,

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Speaker 4: this is not a part of the U I should

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Speaker 4: be going down. I want to explain very briefly what

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Speaker 4: expedited removal is, because I have seen some shit that

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Speaker 4: suggests maybe folks don't understand it. That's fine, it's complicated.

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Speaker 4: So expeditive removal is supposed to be reserved for people

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Speaker 4: who arrive at a land border port of entry or EWI.

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Speaker 4: EWI is an acronym entering without inspection. That means entering

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Speaker 4: between ports of entry right over the wall, under the wall,

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Speaker 4: over the beach, what have you, right, entering without going

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Speaker 4: through a port of entry, and they're supposed to have

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Speaker 4: been here for less than two years. The Trump administration

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Speaker 4: has been massively expanding the use of expectitive removal. Recently,

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Speaker 4: why they're doing this is because in an expectitive removal proceeding,

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Speaker 4: lower level immigration officials can remove people without them seeing

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Speaker 4: a judge. Those people can still make a credible fear claim,

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Speaker 4: which has to be assessed by an asylum officer and

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Speaker 4: then approved by a judge. But this is a lot

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Speaker 4: harder right than then going through the asylum process, and

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Speaker 4: they have to prove beyond reasonable doubt. I guess I

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Speaker 4: think it's a reasonable fear frame. I think incredible fear

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Speaker 4: is a higher standard for another removal braziling that they

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Speaker 4: are likely to be tortured by the government or with

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Speaker 4: the acquiescence of their government if they're sent home. Right,

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Speaker 4: its use had previously peaked with one hundred and ninety

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Speaker 4: seven cases in twenty thirteen. That was under Obama right

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Speaker 4: and surprisingly didn't see people writing about it. Then it

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Speaker 4: was used even more extensively by the Biden administration, especially

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Speaker 4: in twenty twenty four with Biden passed his asylum ban

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Speaker 4: right by executive order. The first Trump administration did use it.

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Speaker 4: They used it in a more broad range of cases,

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Speaker 4: but they didn't use it in as many cases as

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Speaker 4: either the Obama or the Biden administration. Right experited removal

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Speaker 4: is supposed to be for the most serious cases, for

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Speaker 4: things where the person is as a threat or a danger,

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Speaker 4: or for other reasons need to be removed quickly. It

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Speaker 4: was never designed. It was passed in I think in

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Speaker 4: the early two thousand decade of this century. Was never

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Speaker 4: supposed to be used like this, right, Robert, you mentioned

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Speaker 4: these people had entered the United States in twenty twenty three,

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Speaker 4: I think.

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Speaker 1: Twenty twenty two, and then he got a visa, a

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Speaker 1: two year visa to work. In twenty twenty three. They

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Speaker 1: entered on a tourist visa.

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Speaker 4: Essentially, they're not within that two year window. Right to

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Speaker 4: the extent that that matters, I don't know, right, So

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Speaker 4: they will now, having done nothing wrong in the case

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Speaker 4: of his wife, having attempted to cooperate with law enforcement

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Speaker 4: to stop her husband or anyone with him hurting anyone else,

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Speaker 4: they will be detained in the Nice detention center. They

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Speaker 4: will have to make a claim of credible fear right.

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Speaker 4: They will have to say it is dangerous for you

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Speaker 4: to send us back. I presume that citizenship is Egyptian,

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Speaker 4: so I presume they will be sent there. That's a

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Speaker 4: very high hurdle for them to clear, and I mean,

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Speaker 4: I'm sure that there are national immigration nonprofits who are

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Speaker 4: willing to fight their case because the abuse of expert

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Speaker 4: to removal in the last two years, to be very clear,

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Speaker 4: by administration as well, has seriously undermined the due process

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Speaker 4: rights of migrants. But this is still a further step

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Speaker 4: and a significant step in removing those So I'm going

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Speaker 4: to follow this case. I'm sure i'll update you on

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Speaker 4: it next week. I also just want to note that,

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Speaker 4: like this has dominated a news cycle, yesterday, twenty seven

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Speaker 4: people were killed in Gaza attempting to obtain humanitarian aid.

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Speaker 3: Right.

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Speaker 4: The IDF is still denying that. I don't really care that.

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Speaker 4: The Red Cross as well as health authorities in Garda

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Speaker 4: have confirmed that twenty seven people were killed en route

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Speaker 4: to one of the humanitarian or the humanitarian aid distribution

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Speaker 4: point where they've concentrated it in the sudden end of

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Speaker 4: the gard the trip. We will have an episode on

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Speaker 4: Palestine next week. I don't want one person's kind of

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Speaker 4: stupid action to overshadow the killing of many more people

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Speaker 4: and that tragic loss of life. Right, So I don't

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Speaker 4: think that we won't be covering that we will. What

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Speaker 4: we will also be doing is pivoting to advertisements.

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Speaker 5: Right now, that's right, baby.

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Speaker 2: Let me let me maybe get out my guacamole fucking algorithm.

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Speaker 3: Couldn't it becomes the joker? Is that the pivot to

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Speaker 3: the Yeah? Okay, yeah, oh god, okay, let's let's talk

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Speaker 3: about Taco Trump.

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Speaker 1: Oh yeah, finally, finally.

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Speaker 2: Get out your hot, get out your black let's go

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Speaker 2: Taco Trump party.

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Speaker 4: If you're doing getting full d NC style, pick a

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Speaker 4: slightly racist Mexican costume or somethink I guess, like.

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Speaker 3: So many many years ago, I I was I was

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Speaker 3: a professional StarCraft two fan, and this meant that I

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Speaker 3: was exposed to Gungan style a full two weeks before

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Speaker 3: everyone else. And this was my experience with Taco because

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Speaker 3: I started hearing this from like financial news outlets, and

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Speaker 3: like my friend Vicky was sending me things. They're like, yeah,

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Speaker 3: they came up with this thing, they're calling it Taco,

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Speaker 3: And then like four days later, all of the like

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Speaker 3: regular news outlet's caught out to it.

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Speaker 4: And I didn't want to say ship in the nation

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Speaker 4: maya liked it before it was cool.

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Speaker 3: So Taco is this like unbelievable delusion that the finance

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Speaker 3: people have had to like like program into their brains

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Speaker 3: in order to like keep themselves from believing their own

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Speaker 3: eyes about what's happening with the economy. So Taco stands

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Speaker 3: for Trump always chickens out. And it's these people's belief

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Speaker 3: that Trump will like always inevitably in the end back

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Speaker 3: down from the terrace. And I've been seeing this a lot, right,

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Speaker 3: Like I was seeing this some people who were like

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Speaker 3: who's analysis I respect? Who are talking about how like, yeah,

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Speaker 3: the structural conditions of the economy are saus so Trump

401
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Speaker 3: will always be forced to like roll the tariffs back.

402
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Speaker 3: And then it's like okay, like the fifty percent deal

403
00:19:52,320 --> 00:19:56,399
Speaker 3: tariff went in to affect like today right like I

404
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Speaker 3: don't know.

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Speaker 2: I'm going to get some kuming. Oh I'm going to

406
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Speaker 2: get some Corey end or we're gonna mix that up.

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Speaker 3: Oh god, yo. This is a financial thing, right that,

408
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Speaker 3: This is the thing that like all the day traders

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Speaker 3: like have to convince themselves in order to keep the

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Speaker 3: stock marketing going. Yeah that like no, no, no, it's

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Speaker 3: gonna be fine.

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Speaker 2: This is a magic spell that's being like waved over

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Speaker 2: the economy to keep it kind of holding together.

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Speaker 3: Yeah, they're like, whooh, it's gonna be fine. Ignore the

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Speaker 3: thirty So all Chinese goods ignore the tariffs of the

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Speaker 3: fifty percent steel tar if.

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Speaker 1: Today, you might say me, these economists are saying to Reef,

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Speaker 1: we don't like it. Sorry, locking jazz rocket jazz bot locking.

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Speaker 2: Rocking jazz bo rocking jazz Bob.

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Speaker 1: God, we had to make up for it. Garrison wouldn't

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Speaker 1: let us last time.

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Speaker 2: I'm sorry, I'm sorry. I know the royalties are getting

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Speaker 2: too much. I took an entire week's pay cut so

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Speaker 2: that we can pay back the royalty.

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Speaker 4: Now.

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Speaker 1: Now, the good news is everybody we did manage to

427
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Speaker 1: work out a new healthcare plan for everybody. It is

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Speaker 1: the next time you need to go to a doctor,

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Speaker 1: there will be an unmarked car with a loaded thirty

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Speaker 1: eight special in the glove box. Yeah, so it is

431
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Speaker 1: a step up from United Healthcare. We've actually significantly improved things. Yeah,

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Speaker 1: that's true.

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Speaker 4: And I'm actually taking no pay for a year so

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Speaker 4: we can do a white riot, which is just white genocide.

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Speaker 4: It's about the genocide of the of the bull people's real.

436
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Speaker 3: So okay, speaking of United health What are these tarriffs

437
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Speaker 3: all these people have convinced themselves is not going to happen,

438
00:21:36,480 --> 00:21:40,399
Speaker 3: is the pharmaceutical tariffs, which are still like coming, right.

439
00:21:40,520 --> 00:21:43,800
Speaker 3: But what sort of happened with this taco shit, right

440
00:21:43,920 --> 00:21:47,399
Speaker 3: is the Democrats were like, Okay, I have found a

441
00:21:47,560 --> 00:21:51,320
Speaker 3: way to criticize Trump that is racist.

442
00:21:52,480 --> 00:21:54,920
Speaker 2: They're all just calling him like that. Also does it

443
00:21:55,000 --> 00:21:58,000
Speaker 2: actually critique his policies like they're they're calling him taco

444
00:21:58,040 --> 00:22:01,200
Speaker 2: and Trump in relation to like negotiations that Iran.

445
00:22:01,160 --> 00:22:03,119
Speaker 6: Yeah, yeah, shit that he should chicken out of it.

446
00:22:03,200 --> 00:22:05,680
Speaker 6: It's good if he doesn't do it. Yeah, yeah, Like

447
00:22:06,000 --> 00:22:09,040
Speaker 6: like I'm watching them do like like fucking truck. Schumer

448
00:22:09,119 --> 00:22:11,720
Speaker 6: is out here tweeting about how Biden deported more people

449
00:22:11,800 --> 00:22:14,000
Speaker 6: than Trump did, and like the thing that this reminds

450
00:22:14,040 --> 00:22:17,000
Speaker 6: me of the most is like the Chavez era of

451
00:22:17,080 --> 00:22:20,600
Speaker 6: Venezuelan opposition, where every single year they would haul some

452
00:22:20,760 --> 00:22:23,119
Speaker 6: dipshit out and their platform was like I'm gonna do

453
00:22:23,200 --> 00:22:26,080
Speaker 6: travisl better than Chavez, and every single year they would

454
00:22:26,080 --> 00:22:27,080
Speaker 6: lose by forty points.

455
00:22:27,400 --> 00:22:30,480
Speaker 3: And it's like the Democrats are like those guys, those

456
00:22:30,560 --> 00:22:33,760
Speaker 3: people are no fucking winners. We're going to adopt every

457
00:22:33,920 --> 00:22:36,360
Speaker 3: single one of his platforms, and then we're gonna run

458
00:22:36,440 --> 00:22:38,480
Speaker 3: on he's not doing it well enough, and then we're

459
00:22:38,480 --> 00:22:41,000
Speaker 3: gonna get fucking annihilated in every single election until like

460
00:22:41,080 --> 00:22:44,200
Speaker 3: democratic process itself simply ceases to exist. And this will

461
00:22:44,240 --> 00:22:49,720
Speaker 3: be good for us somehow. This is just it's pure cope.

462
00:22:50,000 --> 00:22:53,360
Speaker 3: Like the entire our, our entire economy is being supported

463
00:22:53,400 --> 00:22:55,960
Speaker 3: by the just collective delusion that these people have built.

464
00:22:56,160 --> 00:22:58,240
Speaker 3: But they fucked up, right. And the thing about taco

465
00:22:58,280 --> 00:22:59,840
Speaker 3: and think I remember is from like the first time

466
00:22:59,840 --> 00:23:02,480
Speaker 3: I about this, it was like, if this gets out,

467
00:23:03,119 --> 00:23:05,800
Speaker 3: these people are fucked because Trump is going to see

468
00:23:05,840 --> 00:23:08,359
Speaker 3: this and it is going to piss him off, and

469
00:23:08,760 --> 00:23:10,720
Speaker 3: he's going to like like now that it's like the

470
00:23:10,760 --> 00:23:11,960
Speaker 3: OK kind of thing. It's like no, no, no, Like

471
00:23:12,000 --> 00:23:13,960
Speaker 3: the next the next series of tariffs is scheduled to

472
00:23:14,000 --> 00:23:17,399
Speaker 3: come off. Is I'm pretty sure that China won in

473
00:23:17,480 --> 00:23:21,000
Speaker 3: like the beginning of July. Could have the math wrong.

474
00:23:21,080 --> 00:23:22,720
Speaker 3: I don't know, I hate math, but I'm pretty sure

475
00:23:22,760 --> 00:23:23,320
Speaker 3: that's the next one.

476
00:23:23,720 --> 00:23:25,320
Speaker 2: I mean, it's it's it's this is the thing that

477
00:23:25,359 --> 00:23:27,440
Speaker 2: I'm still like questioning about and like we've talked talked

478
00:23:27,440 --> 00:23:29,600
Speaker 2: about this before is like one of those thirty day

479
00:23:29,600 --> 00:23:33,639
Speaker 2: deadlines for tariffs on Canada and Mexico expired. Yeah, he

480
00:23:33,680 --> 00:23:35,639
Speaker 2: just forgot about that one and no one was keeping

481
00:23:35,840 --> 00:23:38,840
Speaker 2: count or they were like distracted, Like I think specifically

482
00:23:38,840 --> 00:23:41,600
Speaker 2: they're putting in some like European Union like tariffs like

483
00:23:41,840 --> 00:23:44,400
Speaker 2: like that day and then just nothing like happy Yeah,

484
00:23:44,400 --> 00:23:46,440
Speaker 2: And like I am wondering how much of that is,

485
00:23:46,520 --> 00:23:49,399
Speaker 2: Like he's just gonna announce tariffs, put them on hold,

486
00:23:49,680 --> 00:23:52,000
Speaker 2: and then just forget about them, but still announce new

487
00:23:52,160 --> 00:23:55,119
Speaker 2: different tariffs in the future that may cover some of

488
00:23:55,200 --> 00:23:55,879
Speaker 2: the same stuff.

489
00:23:56,160 --> 00:23:58,600
Speaker 3: Well, so here's the thing. Here's the thing. I some

490
00:23:58,800 --> 00:24:00,639
Speaker 3: of these you remember something just because so so the

491
00:24:00,680 --> 00:24:03,000
Speaker 3: steel tariff doubled from twenty five ye fifty, right, and

492
00:24:03,040 --> 00:24:05,399
Speaker 3: that is one of the ruling big ones, right, So

493
00:24:05,640 --> 00:24:07,440
Speaker 3: I think it's it's like there are some that he

494
00:24:07,720 --> 00:24:10,000
Speaker 3: like cares about and there are some that he kind

495
00:24:10,040 --> 00:24:10,440
Speaker 3: of doesn't.

496
00:24:10,480 --> 00:24:12,080
Speaker 2: I mean, I feel the same way when I'm getting

497
00:24:12,119 --> 00:24:15,280
Speaker 2: tacos like pork tacos, no, thank you, fish tacos.

498
00:24:15,359 --> 00:24:19,080
Speaker 1: Maybe I don't. I don't endorse Garson's opinion on tacos.

499
00:24:19,640 --> 00:24:23,240
Speaker 3: This this taco Trump shit is like I long for

500
00:24:23,359 --> 00:24:26,600
Speaker 3: the days of Orange Man Bad drump was better than this.

501
00:24:27,080 --> 00:24:30,119
Speaker 3: This is this is the worst it's ever been, Like,

502
00:24:31,000 --> 00:24:33,840
Speaker 3: oh god, give me comedians cutting his head off live

503
00:24:33,880 --> 00:24:35,840
Speaker 3: on stage again, Like sure.

504
00:24:35,760 --> 00:24:36,879
Speaker 4: Yes, that was fine.

505
00:24:37,400 --> 00:24:40,000
Speaker 3: This is just like what what are we doing here?

506
00:24:40,359 --> 00:24:41,040
Speaker 3: Oh my god?

507
00:24:41,320 --> 00:24:41,520
Speaker 1: Yeah.

508
00:24:42,080 --> 00:24:44,480
Speaker 2: I mean it's really tough because cilantro prices are gonna

509
00:24:44,480 --> 00:24:46,720
Speaker 2: spike to these tariffs too, so I mean we can't

510
00:24:46,720 --> 00:24:47,639
Speaker 2: even call them tacos.

511
00:24:47,640 --> 00:24:51,439
Speaker 1: It's okay, you know, Garrett Garrison, that's actually just good politics, right,

512
00:24:51,560 --> 00:24:54,720
Speaker 1: because some people have some people have a disability where

513
00:24:54,720 --> 00:24:57,080
Speaker 1: they can't test taste cilantro, not a.

514
00:24:57,119 --> 00:25:03,320
Speaker 7: Disability association with previous statements. I will not be canceled

515
00:25:03,359 --> 00:25:05,840
Speaker 7: by the side. Do not buy the cilantro gene. I

516
00:25:05,880 --> 00:25:09,240
Speaker 7: don't think it's real. But you don't think, oh my god, Okay, okay,

517
00:25:09,359 --> 00:25:10,560
Speaker 7: I don't think it's a gene.

518
00:25:10,760 --> 00:25:14,840
Speaker 1: I don't think people without the salant with the cilantro

519
00:25:15,000 --> 00:25:16,639
Speaker 1: taste bad gene. I don't know if we'd call them

520
00:25:16,680 --> 00:25:19,080
Speaker 1: people right, if it tastes like so killed. I just

521
00:25:19,119 --> 00:25:19,840
Speaker 1: don't know. I don't know.

522
00:25:20,600 --> 00:25:23,800
Speaker 3: Talks talks with China have been breaking down. Both sides

523
00:25:23,800 --> 00:25:27,000
Speaker 3: have been accusing each other of violating the agreement they

524
00:25:27,000 --> 00:25:28,560
Speaker 3: had come to to roll the tariffs back, which they

525
00:25:28,760 --> 00:25:29,400
Speaker 3: like both.

526
00:25:29,280 --> 00:25:32,320
Speaker 2: Have I believe both sides on that. Actually yeah, and

527
00:25:33,040 --> 00:25:33,879
Speaker 2: again this this this.

528
00:25:33,960 --> 00:25:36,440
Speaker 3: Comes to like the actual fundamental structural problem of this,

529
00:25:36,640 --> 00:25:39,720
Speaker 3: which is that and I think this is why a

530
00:25:39,800 --> 00:25:41,560
Speaker 3: lot of people think that everything will sort of eventually

531
00:25:41,560 --> 00:25:42,960
Speaker 3: go back to normal and I'll try to just sort

532
00:25:43,000 --> 00:25:44,800
Speaker 3: of like bluster like I did the first time.

533
00:25:45,440 --> 00:25:46,560
Speaker 2: Is it like okay?

534
00:25:46,560 --> 00:25:49,080
Speaker 3: Again? Trump's actual goal here, which is to not have

535
00:25:49,160 --> 00:25:53,159
Speaker 3: a trade deficit with China, is unachievable, right, There's nothing

536
00:25:53,400 --> 00:25:55,879
Speaker 3: that can actually be done in order to do that,

537
00:25:56,880 --> 00:26:00,359
Speaker 3: and there's no good way to claim victory either. And

538
00:26:00,440 --> 00:26:03,000
Speaker 3: so what we're sort of escalating towards is July, like

539
00:26:03,080 --> 00:26:04,720
Speaker 3: the one hundred and thirty percent of tariffs sort of

540
00:26:04,760 --> 00:26:09,879
Speaker 3: like coming back into effect. So people are building up

541
00:26:09,960 --> 00:26:12,520
Speaker 3: I think this, like I don't know, the sort of

542
00:26:12,560 --> 00:26:16,040
Speaker 3: like psychological wall to the fact that this could happen again,

543
00:26:16,720 --> 00:26:19,600
Speaker 3: and the fact that like these negotiations are breaking down,

544
00:26:19,920 --> 00:26:22,359
Speaker 3: I think is just making it increasingly likely that it

545
00:26:22,480 --> 00:26:25,399
Speaker 3: is just going to explode again. The steel tariffs also

546
00:26:25,680 --> 00:26:28,359
Speaker 3: are just a shit show for a whole bunch of

547
00:26:28,400 --> 00:26:31,639
Speaker 3: different manufacturing sectors. It's very bad for the US auto industry.

548
00:26:31,640 --> 00:26:33,680
Speaker 3: There's already been a report on the effect of twenty

549
00:26:33,720 --> 00:26:38,440
Speaker 3: five percent steel tariff has had on the construction industry.

550
00:26:39,280 --> 00:26:41,080
Speaker 3: This has been tied into sort of like, oh yeah,

551
00:26:41,119 --> 00:26:43,320
Speaker 3: the US is like not replenishing its housing stock because

552
00:26:43,440 --> 00:26:49,119
Speaker 3: you know, but it's it's fucked, it's real bad. I

553
00:26:49,200 --> 00:26:51,680
Speaker 3: don't I don't have a I don't know. I don't

554
00:26:51,680 --> 00:26:54,600
Speaker 3: have a better thing to say about it than that,

555
00:26:54,720 --> 00:26:56,320
Speaker 3: and that it's going to continue to get worse and

556
00:26:56,440 --> 00:27:01,200
Speaker 3: at some points, probably the taco is going to be

557
00:27:01,280 --> 00:27:03,360
Speaker 3: fucking over and people are going to realize that he's

558
00:27:03,359 --> 00:27:05,040
Speaker 3: going to do this, and especially now they just pissed

559
00:27:05,080 --> 00:27:05,360
Speaker 3: him off.

560
00:27:06,880 --> 00:27:09,879
Speaker 4: Oh god, yeah, well what will they do then with

561
00:27:09,960 --> 00:27:11,160
Speaker 4: their giant inflatable chicken.

562
00:27:13,560 --> 00:27:18,480
Speaker 2: This is this is this is the biggest librain stuff

563
00:27:18,480 --> 00:27:19,160
Speaker 2: I've ever seen.

564
00:27:20,119 --> 00:27:22,639
Speaker 3: I am I am living in a world where like

565
00:27:22,880 --> 00:27:25,159
Speaker 3: a group chat that I made on signal when I

566
00:27:25,280 --> 00:27:27,960
Speaker 3: was a manic last year has had more policy effects

567
00:27:28,080 --> 00:27:31,800
Speaker 3: on like like preserving trans healthcare in that fucking budget

568
00:27:31,840 --> 00:27:34,399
Speaker 3: build and the entire Democratic Party and they are spending

569
00:27:34,440 --> 00:27:39,840
Speaker 3: their money fucking like holding out chicken fucking chicken inflatable.

570
00:27:41,240 --> 00:27:43,800
Speaker 1: Now, don't don't listen to me. A Democrats. For just

571
00:27:43,920 --> 00:27:47,440
Speaker 1: twenty million dollars, I will guarantee you the youth vote.

572
00:27:47,480 --> 00:27:48,120
Speaker 1: Not a guarantee.

573
00:27:49,000 --> 00:27:52,280
Speaker 2: I propose that we renamed this segment from tariff talk

574
00:27:52,400 --> 00:27:57,520
Speaker 2: to Mia Molay the next I don't know twenty.

575
00:27:57,320 --> 00:28:00,280
Speaker 1: Episots garrison As a Canadian, are you allowed to use

576
00:28:00,359 --> 00:28:00,720
Speaker 1: that word?

577
00:28:01,520 --> 00:28:01,720
Speaker 4: Yeah?

578
00:28:03,040 --> 00:28:08,080
Speaker 2: Oh, let's go on to that break before I lose

579
00:28:08,119 --> 00:28:24,359
Speaker 2: my job. Okay, we are back. James Stowe, It's me.

580
00:28:25,000 --> 00:28:25,840
Speaker 2: What's been going on?

581
00:28:26,720 --> 00:28:30,000
Speaker 4: Hey everyone, James, it's Thursday night here and I'm just

582
00:28:30,119 --> 00:28:32,600
Speaker 4: recording a little pickup to update you that the Trump

583
00:28:32,600 --> 00:28:37,879
Speaker 4: administration has issued another travel ban. This travel ban bans

584
00:28:37,920 --> 00:28:42,400
Speaker 4: travel or bans all new visas for people from twelve countries.

585
00:28:42,400 --> 00:28:46,920
Speaker 4: One of those is Meanmar, and travelers further restricted for

586
00:28:47,040 --> 00:28:50,320
Speaker 4: seven other countries. There are exemptions people who are already

587
00:28:50,400 --> 00:28:53,400
Speaker 4: in the country with a valid visa. There are exemptions

588
00:28:53,480 --> 00:28:58,120
Speaker 4: for Afghan people have an SIV, especially immigrant visa. There

589
00:28:58,160 --> 00:29:01,400
Speaker 4: are other smaller exemptions for the Olympic Games and sporting

590
00:29:01,480 --> 00:29:03,680
Speaker 4: events for example. We will do a whole episode on

591
00:29:03,720 --> 00:29:05,920
Speaker 4: this because we need longer than we have to explain it.

592
00:29:06,000 --> 00:29:08,200
Speaker 4: But I just wanted to make people aware that we

593
00:29:08,360 --> 00:29:10,800
Speaker 4: are tracking that, planning on getting something out about it,

594
00:29:10,920 --> 00:29:13,320
Speaker 4: but we don't have enough space in this episode or

595
00:29:13,400 --> 00:29:17,000
Speaker 4: time to edit to address it in full. Today. Well,

596
00:29:17,080 --> 00:29:21,000
Speaker 4: some things have been happening Garrison here in sunny San Diego.

597
00:29:20,920 --> 00:29:23,000
Speaker 2: With from what I hear, actually great tacos.

598
00:29:23,400 --> 00:29:25,280
Speaker 4: Yes, tacos are actually very good in San Diego.

599
00:29:25,400 --> 00:29:27,520
Speaker 1: Yes, Oh, excellent tacos. Some of the best tacos in

600
00:29:27,600 --> 00:29:29,640
Speaker 1: southern California, which is saying something.

601
00:29:29,600 --> 00:29:33,720
Speaker 4: Ye, come and visit us, eat our tacos.

602
00:29:33,880 --> 00:29:37,760
Speaker 1: Across the border. Get some extended release Mexican tramadol. Let

603
00:29:37,840 --> 00:29:39,680
Speaker 1: me know where you are anyway, continue jym.

604
00:29:39,720 --> 00:29:41,880
Speaker 4: Or tacos whatever you want to want to get across

605
00:29:41,920 --> 00:29:46,200
Speaker 4: the border. So I say, gent rated Buona fot Jetta,

606
00:29:46,280 --> 00:29:49,080
Speaker 4: which is a pizza place in South Buck. I used

607
00:29:49,080 --> 00:29:51,200
Speaker 4: to stay like just above here. I would get late

608
00:29:51,320 --> 00:29:52,800
Speaker 4: night pizza there all the time when my job was

609
00:29:52,880 --> 00:29:56,360
Speaker 4: riding my bike and my hobby was drinking at Hamilton's Rip,

610
00:29:56,640 --> 00:29:59,840
Speaker 4: which was a craft bn next door. In this bungled raid,

611
00:30:00,120 --> 00:30:02,880
Speaker 4: they entered during a late afternoon and the evening of Friday,

612
00:30:03,440 --> 00:30:06,400
Speaker 4: and ice agents soon found themselves surrounded by an angry

613
00:30:06,440 --> 00:30:09,760
Speaker 4: crowd at local people, patrons from the Vegan Small Plates

614
00:30:09,840 --> 00:30:13,680
Speaker 4: cocktail place across the across the street, and the brewery

615
00:30:13,680 --> 00:30:16,800
Speaker 4: it's now South Park Brewing, as well as folks from

616
00:30:16,800 --> 00:30:18,720
Speaker 4: the neighborhood. Right, this is one of those neighborhoods that

617
00:30:18,840 --> 00:30:21,240
Speaker 4: like South Park of the concept was kind of invented

618
00:30:21,280 --> 00:30:24,560
Speaker 4: by real estate agents so that it wouldn't seem like

619
00:30:24,720 --> 00:30:26,400
Speaker 4: Golden Hill or Bankers Hill, and it would have like

620
00:30:26,400 --> 00:30:28,800
Speaker 4: a more upmarket branding. So you have these very nice

621
00:30:29,560 --> 00:30:31,320
Speaker 4: bars and restaurants, but then you also have like a

622
00:30:31,440 --> 00:30:34,760
Speaker 4: laundromaut on the corner, and like a like a food market,

623
00:30:34,920 --> 00:30:38,840
Speaker 4: like a non chained supermarket that serves a primarily Latino

624
00:30:38,960 --> 00:30:41,360
Speaker 4: clan tel. I would imagine it's one of these very

625
00:30:41,440 --> 00:30:45,520
Speaker 4: sort of like class diverse neighborhoods. I guess. But people

626
00:30:45,720 --> 00:30:49,120
Speaker 4: came out en mass. They surrounded these vehicles, right, they

627
00:30:49,160 --> 00:30:53,040
Speaker 4: were chanting let them go. Ittsi agents decided to defuse

628
00:30:53,080 --> 00:30:57,320
Speaker 4: the situation by throwing flashbanks and then leaving with four employees.

629
00:30:57,720 --> 00:31:00,840
Speaker 4: I should add here that as KPBA put it, quote,

630
00:31:00,920 --> 00:31:04,040
Speaker 4: flash bangs were thrown, which is a cowardly use of

631
00:31:04,120 --> 00:31:06,600
Speaker 4: the passive voice to obscure culpability.

632
00:31:06,640 --> 00:31:10,200
Speaker 2: I think flash bangs spontaneously were deployed.

633
00:31:09,960 --> 00:31:13,600
Speaker 4: Right yeah, right, who can say Garrison, maybe the people

634
00:31:13,680 --> 00:31:16,400
Speaker 4: at the Death Metal Vegan restaurant bought the flash bangs.

635
00:31:16,480 --> 00:31:18,120
Speaker 2: Well, And I also do want to say I have

636
00:31:18,240 --> 00:31:21,959
Speaker 2: gotten word from some exclusive sources that these were actually

637
00:31:22,120 --> 00:31:25,560
Speaker 2: secret militia members masquerading as Ice agents.

638
00:31:25,800 --> 00:31:28,640
Speaker 4: Yeah, let's just fucking address it, because it's very silly.

639
00:31:29,000 --> 00:31:30,920
Speaker 1: The understandable degree of it is that like they are

640
00:31:31,040 --> 00:31:33,720
Speaker 1: dressing like Proud Voice now look exactly like Proud Boys

641
00:31:33,760 --> 00:31:37,560
Speaker 1: in Portland in twenty nineteen, right, Like they are indistinguishable visually.

642
00:31:37,680 --> 00:31:40,720
Speaker 2: Their uniform standards have like kind of gone away. They

643
00:31:40,800 --> 00:31:43,120
Speaker 2: seem like they don't have standards anymore. Yes, and now

644
00:31:43,160 --> 00:31:45,920
Speaker 2: they are just dressing like how Proud Voices and three

645
00:31:45,960 --> 00:31:47,080
Speaker 2: Percenters used to dress.

646
00:31:47,800 --> 00:31:50,960
Speaker 4: Yeah. So, like I think this kind of conspiracy theory

647
00:31:51,040 --> 00:31:54,200
Speaker 4: stems from the initial MISI identification of the Ginger Ice

648
00:31:54,240 --> 00:31:58,800
Speaker 4: agent who smashed someone's window as Michael Maya aka Lewis Arthur,

649
00:31:58,920 --> 00:32:03,280
Speaker 4: who's the one of the veterans on patrol leaders. He

650
00:32:03,520 --> 00:32:05,680
Speaker 4: was live streaming in Oklahoma at the time that that

651
00:32:05,840 --> 00:32:08,920
Speaker 4: rate happened. It's not him, Yeah, it's just two people

652
00:32:08,920 --> 00:32:11,440
Speaker 4: who are ginger. Ye that then it's possible that there

653
00:32:11,480 --> 00:32:14,400
Speaker 4: are lots of them. Then. I've seen this in multiple

654
00:32:14,440 --> 00:32:18,240
Speaker 4: other cases, often from the kind of more lib sky

655
00:32:18,360 --> 00:32:20,840
Speaker 4: people you see on Blue Sky right, who seem unable

656
00:32:20,880 --> 00:32:23,240
Speaker 4: to comprehend the fact that no, they are cops and

657
00:32:23,320 --> 00:32:26,200
Speaker 4: they are doing evil shit, and cops do evil shit,

658
00:32:26,480 --> 00:32:29,680
Speaker 4: cops can do bad things, and now cops are more likely,

659
00:32:29,800 --> 00:32:35,160
Speaker 4: especially immigration officers, do not have their names on their kit. Yeah,

660
00:32:35,160 --> 00:32:37,480
Speaker 4: and it's something that we saw like in Portland in

661
00:32:37,520 --> 00:32:39,520
Speaker 4: twenty twenty, and it was incredibly worrying, And now it's

662
00:32:39,600 --> 00:32:42,720
Speaker 4: spreading all around the entire country to the point where

663
00:32:42,800 --> 00:32:45,840
Speaker 4: most most like people enacting these raids are both hiding

664
00:32:45,880 --> 00:32:49,200
Speaker 4: their identities and also obscuring what agencies they are actually

665
00:32:49,320 --> 00:32:52,840
Speaker 4: like from, which is why people are like concerned that

666
00:32:52,960 --> 00:32:55,320
Speaker 4: you like, what if these guys aren't even from the government,

667
00:32:55,680 --> 00:32:56,880
Speaker 4: what if these are just like some kind of right

668
00:32:56,920 --> 00:32:59,360
Speaker 4: wing militia. And yeah, with a little bit of checking,

669
00:32:59,400 --> 00:33:01,840
Speaker 4: you can usually tell that they are in fact from

670
00:33:02,200 --> 00:33:06,880
Speaker 4: usually das. Yeah, I mean the California one was somewhat ridiculous, Right,

671
00:33:06,920 --> 00:33:09,240
Speaker 4: there is not an exemption to the California assault weapons

672
00:33:09,280 --> 00:33:11,440
Speaker 4: ban for militias. These guys had guns, which would have

673
00:33:11,520 --> 00:33:14,280
Speaker 4: been about four felonies each. Yees saying people don't do

674
00:33:14,400 --> 00:33:17,080
Speaker 4: felony things they do, but you'd have to be a

675
00:33:17,120 --> 00:33:19,000
Speaker 4: bit of a tool to just stand on the street

676
00:33:19,080 --> 00:33:21,680
Speaker 4: with your felony select fire MPX.

677
00:33:22,160 --> 00:33:25,040
Speaker 1: Part of this is a very and a lot of

678
00:33:25,120 --> 00:33:27,360
Speaker 1: leftists fell for this too, But this is fundament mentally

679
00:33:27,480 --> 00:33:29,760
Speaker 1: rooted in a liberal delusion, which is that the danger

680
00:33:30,160 --> 00:33:33,520
Speaker 1: is unaccountable groups of civilians with guns, not the police.

681
00:33:33,840 --> 00:33:37,280
Speaker 1: The danger is the cops. The danger has always been

682
00:33:37,400 --> 00:33:37,840
Speaker 1: the cops.

683
00:33:38,520 --> 00:33:41,240
Speaker 4: Yes, we need to push back on this, right, Like

684
00:33:41,960 --> 00:33:43,640
Speaker 4: the prow boys are not like the be all and

685
00:33:43,800 --> 00:33:46,320
Speaker 4: end all of even but they're that sure, of course.

686
00:33:46,480 --> 00:33:48,520
Speaker 1: I Like, I've had my hand broken by one. I

687
00:33:48,560 --> 00:33:50,520
Speaker 1: don't like them, but I'm not as scared of them

688
00:33:50,520 --> 00:33:52,000
Speaker 1: as I am of just the cops.

689
00:33:53,320 --> 00:33:55,480
Speaker 4: Like, Yeah, we need to push back on this because

690
00:33:55,600 --> 00:33:58,480
Speaker 4: it fundamentally misidentifies the problem. And until these people wake

691
00:33:58,560 --> 00:34:01,040
Speaker 4: up and realize that they're not going to bond in

692
00:34:01,160 --> 00:34:01,960
Speaker 4: the correct manner.

693
00:34:02,120 --> 00:34:03,360
Speaker 3: Yeah, And I mean, like, you know, one of the

694
00:34:03,400 --> 00:34:05,480
Speaker 3: things that you can point out here is is like, yeah,

695
00:34:05,680 --> 00:34:09,040
Speaker 3: there were a bunch of police in Nazi Germany, and

696
00:34:09,200 --> 00:34:12,080
Speaker 3: the moment that they started carrying out the orders of

697
00:34:12,160 --> 00:34:15,840
Speaker 3: the Nazi government, they became Nazis. Like that's that's just

698
00:34:15,880 --> 00:34:18,480
Speaker 3: how this works, right, you don't get a poll a like, oh,

699
00:34:18,640 --> 00:34:21,040
Speaker 3: I was just a wimart police guy, just enforcing the

700
00:34:21,120 --> 00:34:23,560
Speaker 3: laws of the of the Nazi government. It's like, okay,

701
00:34:24,320 --> 00:34:26,279
Speaker 3: you were you are, sir, you are a Nazi, and

702
00:34:26,600 --> 00:34:28,400
Speaker 3: you are a Nazi because you are an agent of

703
00:34:28,480 --> 00:34:31,600
Speaker 3: the Nazi state, not because you were like you know,

704
00:34:31,719 --> 00:34:34,360
Speaker 3: you were like necessarily in some perimilitary or whatever.

705
00:34:34,400 --> 00:34:36,200
Speaker 4: Like yeah, a member of the party.

706
00:34:36,320 --> 00:34:38,120
Speaker 3: Yeah, Like that's what happens when you work for a

707
00:34:38,160 --> 00:34:40,200
Speaker 3: fascist state. So you're now a fascist.

708
00:34:40,840 --> 00:34:43,880
Speaker 4: So in documents I've reviewed, Ice claimed that nineteen employees

709
00:34:43,920 --> 00:34:47,360
Speaker 4: at a restaurant were using falsified green cards. They were

710
00:34:47,400 --> 00:34:49,759
Speaker 4: acting on a tip from November twenty twenty, and then

711
00:34:49,760 --> 00:34:52,600
Speaker 4: they received a follow up tip in late January twenty

712
00:34:52,680 --> 00:34:56,360
Speaker 4: twenty five. The tip claim that many of the staff

713
00:34:56,400 --> 00:35:00,719
Speaker 4: at Buonafort Jetta were undocumented, that the made them work

714
00:35:00,800 --> 00:35:04,000
Speaker 4: long shifts and verbally abused them. I have seen no

715
00:35:04,160 --> 00:35:07,960
Speaker 4: evidence that this is true beyond that claim. I've been

716
00:35:08,080 --> 00:35:10,560
Speaker 4: to and past that restaurant hundreds of times. I've never

717
00:35:10,600 --> 00:35:12,840
Speaker 4: seen anyone who looks sad to be there. But it

718
00:35:12,880 --> 00:35:15,680
Speaker 4: doesn't mean that's not happening. But I've seen nothing to

719
00:35:15,760 --> 00:35:17,920
Speaker 4: lead me to believe that it is beyond this claim. Right,

720
00:35:18,600 --> 00:35:22,200
Speaker 4: HSI had been in communication with Bonafort Jetta's lawyer since

721
00:35:22,360 --> 00:35:25,960
Speaker 4: February and they had been cooperating. Right Like Bonifot Jetter

722
00:35:26,040 --> 00:35:28,759
Speaker 4: had given them these documents which they claim were fake

723
00:35:28,960 --> 00:35:32,120
Speaker 4: green cards. They applied for this warrant, which they've got,

724
00:35:32,160 --> 00:35:35,080
Speaker 4: an exceedingly broad warrant. One of the things that allow

725
00:35:35,239 --> 00:35:39,640
Speaker 4: was for everyone inside to be detained and fingerprinted if necessary,

726
00:35:39,840 --> 00:35:43,880
Speaker 4: even people who are not accused of any immigration offense. Right,

727
00:35:43,880 --> 00:35:48,160
Speaker 4: people who are United States citizens weren't. Also detailed that

728
00:35:48,200 --> 00:35:52,200
Speaker 4: they had been surveilling the location. City councilman Shani la

729
00:35:52,280 --> 00:35:55,640
Speaker 4: Riviera called the HSI agents terrorists. In a social media post,

730
00:35:56,000 --> 00:35:58,880
Speaker 4: Bill Malugan got sad about this. Stephen Miller quote tweeted

731
00:35:58,920 --> 00:36:01,719
Speaker 4: Bill Milligan getting sad about this. Top Glauria came out

732
00:36:01,719 --> 00:36:05,440
Speaker 4: with three paragraphs of total bullshit and continued to unabatteredly

733
00:36:05,440 --> 00:36:08,320
Speaker 4: support stripping our city of all its socially beneficial services

734
00:36:08,400 --> 00:36:10,680
Speaker 4: in order to direct a fire hose of our money

735
00:36:10,719 --> 00:36:13,600
Speaker 4: to the cops, one of whom earned four hundred and

736
00:36:13,719 --> 00:36:18,480
Speaker 4: thirty thousand dollars in twenty twenty three. Jesus what yep?

737
00:36:19,160 --> 00:36:22,600
Speaker 4: Yeah yeah, San Diego's highest paid public officials of cops

738
00:36:22,760 --> 00:36:26,160
Speaker 4: by oh my god. Yeah, we are becoming a police

739
00:36:26,160 --> 00:36:30,080
Speaker 4: department with a city attached because of Todd Gloria, someone

740
00:36:30,120 --> 00:36:32,719
Speaker 4: who ran in twenty twenty on a reform agenda, right,

741
00:36:33,080 --> 00:36:35,200
Speaker 4: who earns himself two hundred and fifty thousand much less.

742
00:36:35,360 --> 00:36:40,439
Speaker 2: That's that's that's football coach takes, which is I thought

743
00:36:40,480 --> 00:36:44,680
Speaker 2: that the Portland Police were paid too much. That's that's wild.

744
00:36:44,920 --> 00:36:48,920
Speaker 4: Yeah. Yeah, this person worked and alleged three thousand hours

745
00:36:48,960 --> 00:36:50,759
Speaker 4: of overtime. I believe m.

746
00:36:51,040 --> 00:36:54,040
Speaker 2: It's like what scrolling scrolling TikTok in your car, Like,

747
00:36:54,239 --> 00:36:54,520
Speaker 2: come on.

748
00:36:54,760 --> 00:36:56,479
Speaker 1: Keep an eye, keeping an eye on kids.

749
00:36:56,600 --> 00:37:01,120
Speaker 4: Yeah yeah you can't you you can't be three thousand dollars.

750
00:37:01,200 --> 00:37:03,920
Speaker 4: I mean someone could do three thousand divided by fifty

751
00:37:04,719 --> 00:37:07,000
Speaker 4: fifty two weeks a year or whatever. Like it's it's

752
00:37:07,480 --> 00:37:09,600
Speaker 4: it's an unfathomable amount of overtime.

753
00:37:10,120 --> 00:37:12,399
Speaker 3: Yeah, it's it's just fifty eight hours a week.

754
00:37:12,680 --> 00:37:16,560
Speaker 4: Whoa, Yeah, so that's full time plus one and a

755
00:37:16,600 --> 00:37:21,800
Speaker 4: half full time jobs, hard worker. There's a KPBS article

756
00:37:21,840 --> 00:37:25,200
Speaker 4: on it. I'll link it. Multiple police officers, I guess

757
00:37:25,239 --> 00:37:27,160
Speaker 4: in twenty twenty four are on track to earn over

758
00:37:27,200 --> 00:37:29,040
Speaker 4: four hundred thousand dollars with the buck of it coming

759
00:37:29,040 --> 00:37:34,080
Speaker 4: from overtime pay. San Diego never gets enough attention for

760
00:37:34,320 --> 00:37:37,319
Speaker 4: being a complete shit show of a city, right when,

761
00:37:37,520 --> 00:37:40,239
Speaker 4: like and run by the Sea is the best way

762
00:37:40,239 --> 00:37:44,319
Speaker 4: I've heard it described, right, Like, our city consistently has

763
00:37:44,480 --> 00:37:48,360
Speaker 4: massive corruption in scandals and nothing happens.

764
00:37:48,480 --> 00:37:51,040
Speaker 1: It's it's a problem when it a place? Is that nice?

765
00:37:51,400 --> 00:37:51,520
Speaker 7: Right?

766
00:37:51,719 --> 00:37:51,919
Speaker 3: Yeah?

767
00:37:52,000 --> 00:37:55,040
Speaker 1: Like that's really the fundamental issue is like people be like, hey,

768
00:37:55,040 --> 00:37:57,359
Speaker 1: do you hear about that fucked up thing the meritd Yeah,

769
00:37:57,440 --> 00:37:59,600
Speaker 1: but like look at the look at the beach.

770
00:38:00,840 --> 00:38:04,120
Speaker 4: Yeah, I mean that's yeah, that's literally the csis of

771
00:38:04,520 --> 00:38:07,640
Speaker 4: Under the Perfect Son. Yeah. She's a book that should be, uh,

772
00:38:08,440 --> 00:38:11,280
Speaker 4: should be obligatory if you want to move to San Diego.

773
00:38:11,600 --> 00:38:13,200
Speaker 4: I think it's one of the one of the earlier

774
00:38:13,719 --> 00:38:17,560
Speaker 4: Mike Davis books. But against San Diego, a place where

775
00:38:17,560 --> 00:38:19,520
Speaker 4: the politics are bad. It's also what happens when everyone

776
00:38:19,600 --> 00:38:20,600
Speaker 4: votes them no matter what.

777
00:38:20,840 --> 00:38:20,960
Speaker 5: Right.

778
00:38:21,080 --> 00:38:23,399
Speaker 1: Also, people, in general, if you want to understand why

779
00:38:23,800 --> 00:38:26,840
Speaker 1: southern California be like a do read read Mike Davis.

780
00:38:27,480 --> 00:38:32,000
Speaker 4: Yeah, yeah, yeah, in general, just read just read Mike Davis.

781
00:38:32,120 --> 00:38:34,440
Speaker 1: Actually, wherever you are read some Mike Davis.

782
00:38:35,000 --> 00:38:38,560
Speaker 4: Yep, I seems to have used I want to get

783
00:38:38,600 --> 00:38:40,320
Speaker 4: into this because I think this is an important issue

784
00:38:40,360 --> 00:38:43,160
Speaker 4: that hasn't been raised any coverage. I see I seem

785
00:38:43,280 --> 00:38:46,200
Speaker 4: to have used AB sixty driver's licenses to identify the

786
00:38:46,239 --> 00:38:49,560
Speaker 4: people in Bonna fot jetter or at least use California

787
00:38:49,760 --> 00:38:51,399
Speaker 4: DMV documents of some kind.

788
00:38:52,040 --> 00:38:52,520
Speaker 3: Jesus.

789
00:38:53,200 --> 00:38:56,719
Speaker 4: Yeah, So there's this misunderstanding. People think that if you

790
00:38:56,840 --> 00:38:59,480
Speaker 4: have a driver's license in California that information is an

791
00:38:59,520 --> 00:39:03,839
Speaker 4: excessible to immigration and that's not true. AB sixty licenses.

792
00:39:04,280 --> 00:39:06,920
Speaker 4: So that's Assembly Bill sixty, right, California piece of law

793
00:39:07,160 --> 00:39:10,480
Speaker 4: allow people to get a license without having legal immigration status.

794
00:39:10,640 --> 00:39:13,719
Speaker 4: This is a good thing. It means that undocumented people

795
00:39:13,719 --> 00:39:16,719
Speaker 4: are less likely to drive unlicensed and uninsured, right, and

796
00:39:17,040 --> 00:39:19,600
Speaker 4: therefore it means that people are likely to stay at

797
00:39:19,640 --> 00:39:22,880
Speaker 4: the scene of car accidents, and people who getting car

798
00:39:22,960 --> 00:39:25,400
Speaker 4: accidents to likely covered by insurance. Right, I've been hit

799
00:39:25,440 --> 00:39:29,000
Speaker 4: by an unsure driver. It fucking sucks. Oh yeah. DHS

800
00:39:29,200 --> 00:39:34,720
Speaker 4: cannot access information on whose license is an AB sixty license,

801
00:39:35,480 --> 00:39:38,480
Speaker 4: but they can access through a variety of databases and

802
00:39:38,640 --> 00:39:43,920
Speaker 4: mechanisms other DMV data, which may include things like photographs, addresses,

803
00:39:44,040 --> 00:39:46,839
Speaker 4: or thumb prints. So in this case, they were able

804
00:39:46,920 --> 00:39:49,200
Speaker 4: to look at the fake green card and then look

805
00:39:49,239 --> 00:39:52,160
Speaker 4: at other data, both in in federal and local databases

806
00:39:52,200 --> 00:39:54,520
Speaker 4: for various things. And some of these people had overstayed

807
00:39:54,600 --> 00:39:57,160
Speaker 4: visas there claiming right be like, okay, well we found

808
00:39:57,160 --> 00:39:58,960
Speaker 4: a guy with this name and this date of birth,

809
00:39:59,680 --> 00:40:01,440
Speaker 4: but the person has a minished a green card that

810
00:40:01,520 --> 00:40:04,560
Speaker 4: that's their claim, right, and the same with the driver's

811
00:40:04,600 --> 00:40:08,319
Speaker 4: license database. So obviously, just to finish up on that thought,

812
00:40:08,320 --> 00:40:11,080
Speaker 4: I guess this disincentivizes people from doing the thing which

813
00:40:11,120 --> 00:40:13,480
Speaker 4: I've just said is good, which is getting a driver's license. Right,

814
00:40:13,520 --> 00:40:17,080
Speaker 4: It disincentivizes I mean, I'm seeing things from students right

815
00:40:17,080 --> 00:40:19,960
Speaker 4: now being afraid of going to their own graduations, being

816
00:40:19,960 --> 00:40:22,680
Speaker 4: afraid of having their parents at their own graduation.

817
00:40:23,080 --> 00:40:23,200
Speaker 5: Right.

818
00:40:24,000 --> 00:40:27,640
Speaker 4: This was like two blocks from a school. Fucking chicken,

819
00:40:28,080 --> 00:40:32,920
Speaker 4: do not she's on top of the fence. Sorry, I'm

820
00:40:32,960 --> 00:40:35,359
Speaker 4: just going to really's going to fucking get out?

821
00:40:37,120 --> 00:40:39,160
Speaker 1: Oh yeah, please chick and break.

822
00:40:43,920 --> 00:40:46,799
Speaker 3: I really, I really truly thought that that was part

823
00:40:46,840 --> 00:40:48,840
Speaker 3: of the sentence, and I was trying to process in

824
00:40:48,920 --> 00:40:49,520
Speaker 3: my brain what.

825
00:40:49,640 --> 00:40:50,480
Speaker 2: The fuck is going on?

826
00:40:51,480 --> 00:41:01,560
Speaker 4: That's all right, we're back. Did you none command?

827
00:41:01,680 --> 00:41:04,480
Speaker 2: Did you pick up the chicken? Could you say that

828
00:41:04,560 --> 00:41:06,520
Speaker 2: you were kind of a chicken? Cky?

829
00:41:08,719 --> 00:41:08,759
Speaker 3: No?

830
00:41:09,320 --> 00:41:12,240
Speaker 1: Everyone, no, no, just another thirty seconds of silence, everybody,

831
00:41:12,320 --> 00:41:13,600
Speaker 1: let's really give that it's due.

832
00:41:15,680 --> 00:41:17,440
Speaker 4: Anyone got a gong that we could find?

833
00:41:18,400 --> 00:41:18,440
Speaker 3: No?

834
00:41:18,760 --> 00:41:24,000
Speaker 4: No, all right, pouring one out for Garrison. So to

835
00:41:24,080 --> 00:41:27,800
Speaker 4: finish up right now, both Bonifort Jetta locations are closed.

836
00:41:28,320 --> 00:41:31,120
Speaker 4: They GoFundMe for the impacted employees and their families has

837
00:41:31,120 --> 00:41:33,840
Speaker 4: already hit twice its goal one hundred and twenty thousand dollars.

838
00:41:34,600 --> 00:41:37,359
Speaker 4: As I've said, there have been on suggestions which, as

839
00:41:37,360 --> 00:41:39,759
Speaker 4: far as I'm were unfounded, that a restaurant forced and

840
00:41:39,840 --> 00:41:43,560
Speaker 4: documented employees to work long hours. It doesn't matter, right,

841
00:41:44,160 --> 00:41:47,200
Speaker 4: even if they did, you shouldn't be punishing the people

842
00:41:47,280 --> 00:41:52,000
Speaker 4: who are being In theory, abused, right, I don't understand

843
00:41:52,040 --> 00:41:53,680
Speaker 4: how you get to that logic. And even if that

844
00:41:53,840 --> 00:41:57,400
Speaker 4: is the case, like having ice available on call to

845
00:41:57,480 --> 00:41:59,759
Speaker 4: deport your employees only plays into the hands for a

846
00:42:00,120 --> 00:42:02,080
Speaker 4: bosses who don't want to pay people, right, they can

847
00:42:02,120 --> 00:42:04,480
Speaker 4: just call us instead. This is a tactic that's been

848
00:42:04,560 --> 00:42:07,800
Speaker 4: used for decades and anto migrants. So yeah, that's what

849
00:42:07,920 --> 00:42:10,360
Speaker 4: I got. Good times, good times in San Diego.

850
00:42:10,920 --> 00:42:13,960
Speaker 3: Yeah, Yeah, we're gonna talk about this more in another episode.

851
00:42:13,960 --> 00:42:18,080
Speaker 3: There was also a rage in Minneapolis that you know,

852
00:42:18,120 --> 00:42:21,840
Speaker 3: there's like thirty agents out multi agency raid and like

853
00:42:21,880 --> 00:42:24,080
Speaker 3: a hundred people just showed up and got them to

854
00:42:24,160 --> 00:42:26,879
Speaker 3: fuck off, and they didn't end up arresting anybody. Yeah,

855
00:42:26,960 --> 00:42:28,640
Speaker 3: I think, well, so I think that they arrest all

856
00:42:28,680 --> 00:42:30,479
Speaker 3: the protesters, but like they didn't end up attaining anything.

857
00:42:30,480 --> 00:42:32,399
Speaker 2: They did not detain the people they were going after.

858
00:42:32,680 --> 00:42:35,040
Speaker 3: It stopt them. Yeah, and there's there's there's this great

859
00:42:35,080 --> 00:42:37,840
Speaker 3: line that fucking every single person from Minneapolis who I

860
00:42:37,920 --> 00:42:40,959
Speaker 3: know now is is quoting where one of the people

861
00:42:40,960 --> 00:42:45,120
Speaker 3: who got interviewed in Sahan Journal said that's Minneapolis, baby,

862
00:42:45,160 --> 00:42:47,960
Speaker 3: we pull up, so you too could pull up and

863
00:42:48,120 --> 00:42:50,719
Speaker 3: stop these fucking you see four cowards. You can stop

864
00:42:50,760 --> 00:42:55,080
Speaker 3: them now. Speaking of incredible cowardice. One of the things

865
00:42:55,120 --> 00:42:58,439
Speaker 3: that's been happening on a sort of another immigration front

866
00:42:58,800 --> 00:43:01,759
Speaker 3: is the US is attenn to revoke student visas for

867
00:43:01,880 --> 00:43:07,319
Speaker 3: Chinese international students. We don't actually know what this means

868
00:43:07,440 --> 00:43:09,160
Speaker 3: yet and what it's going to look like. All they've

869
00:43:09,200 --> 00:43:13,560
Speaker 3: said is that they're working to aggressively to revoke visas.

870
00:43:13,600 --> 00:43:16,560
Speaker 3: As a direct quote from them, and this this was

871
00:43:16,600 --> 00:43:21,440
Speaker 3: from Marco Rubio on fucking whatever social media app and

872
00:43:21,520 --> 00:43:23,960
Speaker 3: you guys, I'll say, quote, we will revise visa criteria

873
00:43:24,000 --> 00:43:27,200
Speaker 3: to enhance scrutiny of all future visa applications from the

874
00:43:27,200 --> 00:43:30,440
Speaker 3: People's of Public of China and Hong Kong. So fucking

875
00:43:30,640 --> 00:43:33,799
Speaker 3: rip all of the Hong Kong liberals who supported Trump. Yeah,

876
00:43:34,600 --> 00:43:37,440
Speaker 3: bad shiit. No one knows exactly what this is going

877
00:43:37,520 --> 00:43:40,759
Speaker 3: to mean. I've seen speculation that this could be a

878
00:43:40,920 --> 00:43:44,040
Speaker 3: full ban. That's what Stephen Miller has wanted for a

879
00:43:44,120 --> 00:43:47,319
Speaker 3: long time. I don't know if that's going to happen.

880
00:43:47,400 --> 00:43:49,759
Speaker 3: They've been talking about like quote unquote critical fields like

881
00:43:49,960 --> 00:43:54,320
Speaker 3: stem stuff. It could also be a you know, the

882
00:43:54,400 --> 00:43:56,319
Speaker 3: persific language they're be using as like anyone who's linked

883
00:43:56,320 --> 00:43:59,960
Speaker 3: to the Communist Party. That's a lot in what set me?

884
00:44:00,600 --> 00:44:03,239
Speaker 3: Yet who the fuck knows? Right, Like, you know, like

885
00:44:03,280 --> 00:44:04,759
Speaker 3: there's some of these people are the kids of like

886
00:44:04,920 --> 00:44:07,600
Speaker 3: Chinese companies, partaby members, but like there are that's like

887
00:44:07,640 --> 00:44:10,000
Speaker 3: seven percent of the population of China, right, Like that's

888
00:44:10,000 --> 00:44:13,080
Speaker 3: a lot of people, and then linked can be fucking anything,

889
00:44:13,360 --> 00:44:17,880
Speaker 3: right Like, yeah, you know, so no one is entirely

890
00:44:17,920 --> 00:44:21,120
Speaker 3: sure what this means yet. I my guess is that

891
00:44:21,239 --> 00:44:24,080
Speaker 3: it's going to be combined with the other horrible things

892
00:44:24,080 --> 00:44:26,680
Speaker 3: they'm be doing right now, which that they've suspended visits

893
00:44:26,840 --> 00:44:29,160
Speaker 3: like consular visits to get student visas while they try

894
00:44:29,200 --> 00:44:31,560
Speaker 3: to figure out how to like do this like implement

895
00:44:31,600 --> 00:44:34,480
Speaker 3: this new social media policy where they want to just effectively,

896
00:44:34,680 --> 00:44:36,080
Speaker 3: what it looks like they want to do is just

897
00:44:36,200 --> 00:44:39,239
Speaker 3: like if you've posted about Palestine, they deny your student visa.

898
00:44:39,880 --> 00:44:41,440
Speaker 3: That seems like the thing that they're trying to put

899
00:44:41,440 --> 00:44:44,360
Speaker 3: in place, yet they haven't yet. My guess is that

900
00:44:44,440 --> 00:44:46,200
Speaker 3: these two are going to end up being linked, and

901
00:44:46,239 --> 00:44:48,239
Speaker 3: they're gonna and that that's gonna be what they're doing.

902
00:44:48,400 --> 00:44:50,279
Speaker 3: It could also just be some sort of large scale

903
00:44:50,280 --> 00:44:54,480
Speaker 3: of rollback of student visas for Chinese international students here,

904
00:44:54,600 --> 00:44:57,719
Speaker 3: Chinese and national students have been targeted under so many

905
00:44:57,840 --> 00:45:02,640
Speaker 3: goddamn administrations now, it's fucking horrible. These are just like people.

906
00:45:03,160 --> 00:45:05,880
Speaker 3: It's interesting because when you read media accounts of this,

907
00:45:06,600 --> 00:45:08,520
Speaker 3: a lot of them will be like, well, people aren't

908
00:45:08,560 --> 00:45:10,759
Speaker 3: that Like, we're not that scared. That's okay. It's like, well, no,

909
00:45:10,880 --> 00:45:12,880
Speaker 3: you you are talking to the people who are stupid

910
00:45:12,960 --> 00:45:15,479
Speaker 3: enough to talk to an American journalist, right, most people

911
00:45:15,600 --> 00:45:18,319
Speaker 3: just say no because they're genuine. Is like creating an

912
00:45:18,320 --> 00:45:20,879
Speaker 3: atmosphere or fucking terror where people don't want to people

913
00:45:20,880 --> 00:45:22,120
Speaker 3: don't want to speak out about it. And this and

914
00:45:22,160 --> 00:45:24,439
Speaker 3: this has been something that's been used to like write

915
00:45:24,480 --> 00:45:28,200
Speaker 3: grad student unions, you know, like these over the years.

916
00:45:28,200 --> 00:45:30,440
Speaker 3: This is this has been a kind of repression. It's

917
00:45:30,520 --> 00:45:34,600
Speaker 3: very useful. This is also I think part of their

918
00:45:34,719 --> 00:45:37,040
Speaker 3: of just the broader war against higher education because a

919
00:45:37,080 --> 00:45:40,000
Speaker 3: lot of Chinese international students like come in on full tuition,

920
00:45:40,200 --> 00:45:43,920
Speaker 3: so they're paying for a large percentage of like a

921
00:45:44,000 --> 00:45:47,200
Speaker 3: bunch of university budgets. But yeah, we will, we will,

922
00:45:47,239 --> 00:45:50,000
Speaker 3: we will keep you informed as to what this actually

923
00:45:50,080 --> 00:45:51,719
Speaker 3: looks like. That's what we know about it for now.

924
00:45:52,000 --> 00:45:53,080
Speaker 3: It fucking sucks.

925
00:45:54,160 --> 00:45:58,279
Speaker 2: Let's end with some semi good news. I guess we

926
00:45:58,360 --> 00:46:04,319
Speaker 2: will return into my horribly named segment Stinky Musk. Oh god, Hey,

927
00:46:04,480 --> 00:46:06,480
Speaker 2: this is Gere from the Future, just cutting in here

928
00:46:06,520 --> 00:46:09,440
Speaker 2: at the beginning because help boy. In the twenty four

929
00:46:09,520 --> 00:46:13,719
Speaker 2: hours after we recorded this initial segment, there has been

930
00:46:14,040 --> 00:46:18,120
Speaker 2: substantial developments in the Elon Mussdnald Trump breakup story. It

931
00:46:18,280 --> 00:46:20,960
Speaker 2: is getting quite ugly out there, folks. The girls are

932
00:46:21,160 --> 00:46:24,800
Speaker 2: fighting Diva down jd Vance is hiding in the closet

933
00:46:24,920 --> 00:46:27,800
Speaker 2: as the parents are screaming down the hallway. It is

934
00:46:27,960 --> 00:46:31,000
Speaker 2: getting quite ugly. Trump's gotten rid of the electric vehicle

935
00:46:31,040 --> 00:46:35,880
Speaker 2: mandate and is threatening to terminate Elon's government subsidies and contracts. Meanwhile,

936
00:46:36,360 --> 00:46:38,880
Speaker 2: Elon Musk is talking about how Donald Trump is in

937
00:46:38,960 --> 00:46:42,239
Speaker 2: the Epstein files, like duh, Like we don't already know this,

938
00:46:42,480 --> 00:46:45,200
Speaker 2: but for some reason, this is blowing the minds of

939
00:46:45,520 --> 00:46:47,920
Speaker 2: people like Alex Jones, who are now crashing out on

940
00:46:48,000 --> 00:46:51,960
Speaker 2: the timeline. Huge, huge shakeups in the Mega world, with

941
00:46:52,080 --> 00:46:54,160
Speaker 2: some people trying to cope claiming that this is a

942
00:46:54,320 --> 00:46:58,399
Speaker 2: five D chess move and that Elon and and Trump

943
00:46:58,480 --> 00:47:01,919
Speaker 2: are gonna come back to get in the end, which

944
00:47:02,000 --> 00:47:04,960
Speaker 2: is completely absurd. This is a huge shift in the

945
00:47:05,000 --> 00:47:07,640
Speaker 2: power balance in the New Right. We will be doing

946
00:47:07,680 --> 00:47:09,840
Speaker 2: a whole new piece in the near future on the

947
00:47:09,920 --> 00:47:12,799
Speaker 2: Elon Musk Donald Trump breakup story and how it will

948
00:47:12,840 --> 00:47:16,520
Speaker 2: affect the Republican Party. But the following segment, which we

949
00:47:16,640 --> 00:47:20,160
Speaker 2: recorded on Wednesday, will essentially outline how we got right

950
00:47:20,280 --> 00:47:23,200
Speaker 2: up to this point, all of these slow microaggressions and

951
00:47:23,239 --> 00:47:27,800
Speaker 2: fractures that led to this much more explosive breakup. So

952
00:47:28,080 --> 00:47:30,480
Speaker 2: enjoy that and keep your ears peeled for a future

953
00:47:30,520 --> 00:47:35,200
Speaker 2: piece on Elon Musker donald Trump's messy situation shift. So

954
00:47:35,960 --> 00:47:39,280
Speaker 2: Elon Musk donald Trump are now officially in their messy

955
00:47:39,480 --> 00:47:42,319
Speaker 2: breakup phase where they're both trying to kind of play

956
00:47:42,360 --> 00:47:47,000
Speaker 2: it cool, but resentment is clearly bubbling. So after report

957
00:47:47,080 --> 00:47:50,080
Speaker 2: surfaced about the growing rift between Musk and Trump, the

958
00:47:50,200 --> 00:47:54,480
Speaker 2: White House gave Musk one last farewell hurrah on Friday

959
00:47:54,560 --> 00:47:58,040
Speaker 2: May thirtieth wear, Musk, sporting a black eye and a

960
00:47:58,120 --> 00:48:01,680
Speaker 2: T shirt reading the Doge Father, was gifted a gold

961
00:48:01,840 --> 00:48:05,120
Speaker 2: key to the White House by Donald Trump. A day later,

962
00:48:05,200 --> 00:48:08,960
Speaker 2: Trump withdrew the nomination of Musk ally Jared Isaacman as

963
00:48:09,080 --> 00:48:13,280
Speaker 2: NASA administrator, so as Musk's Special Government employee designation expired,

964
00:48:14,000 --> 00:48:16,480
Speaker 2: nothing was renewed. They did not try to push him

965
00:48:16,520 --> 00:48:20,720
Speaker 2: through as an more permanent advisor. He is essentially getting

966
00:48:21,000 --> 00:48:25,200
Speaker 2: the soft boot. According to Axios, Musk had asked the

967
00:48:25,239 --> 00:48:27,600
Speaker 2: White House about staying on as an advisor past the

968
00:48:27,640 --> 00:48:31,880
Speaker 2: one hundred and thirty day Special Government employee threshold, but

969
00:48:32,160 --> 00:48:36,319
Speaker 2: that was denied. Now, Musk has been reportedly disillusioned by

970
00:48:36,400 --> 00:48:40,680
Speaker 2: the Wisconsin election and the unexpected difficulty in pushing through

971
00:48:40,760 --> 00:48:44,000
Speaker 2: some of his DOGE cuts, along with the growing frustration

972
00:48:44,120 --> 00:48:48,239
Speaker 2: regarding the Liberation Day tariffs which affect his businesses. To

973
00:48:48,520 --> 00:48:51,040
Speaker 2: add to the tension, according to The New York Times,

974
00:48:51,320 --> 00:48:54,200
Speaker 2: Musk has been upset that Trump has been negotiating deals

975
00:48:54,280 --> 00:48:59,640
Speaker 2: with open AI instead of Musk's own competitor, Grock God.

976
00:49:02,480 --> 00:49:05,839
Speaker 2: In late May, Musk posted on x the everything app

977
00:49:05,920 --> 00:49:09,040
Speaker 2: quote back to spending twenty four to seven at work,

978
00:49:09,320 --> 00:49:12,800
Speaker 2: I must be super focused on x slash x AI

979
00:49:13,080 --> 00:49:13,840
Speaker 2: and TESLA.

980
00:49:14,160 --> 00:49:18,200
Speaker 4: Well, to be fair, Garrison, have you seen GPT ever

981
00:49:18,400 --> 00:49:22,000
Speaker 4: speaking in the style of Jajar Binks in such a convincing.

982
00:49:21,560 --> 00:49:26,080
Speaker 2: You know that is true? Usp right there, Yeah, not well,

983
00:49:26,120 --> 00:49:30,600
Speaker 2: talking about the plight of the bores. So as Musk

984
00:49:30,680 --> 00:49:32,879
Speaker 2: was preparing to exit the White House, he began airing

985
00:49:32,960 --> 00:49:35,720
Speaker 2: his beef with the new big, beautiful budget bill. Quote.

986
00:49:36,040 --> 00:49:38,080
Speaker 2: I think a bill can be big or it can

987
00:49:38,160 --> 00:49:40,840
Speaker 2: be beautiful, but I don't know if it can be both,

988
00:49:41,600 --> 00:49:44,279
Speaker 2: telling CBS News quote, I was disappointed to see the

989
00:49:44,360 --> 00:49:47,880
Speaker 2: massive spending bill, frankly, which increases the budget deficit, not

990
00:49:48,280 --> 00:49:51,960
Speaker 2: just decreases it, and undermines the work that the Doge

991
00:49:52,040 --> 00:49:56,799
Speaker 2: team is doing unquote. After this, Steven Miller started subtweeting

992
00:49:56,960 --> 00:50:01,240
Speaker 2: Musk on X the Everything app outline the different types

993
00:50:01,280 --> 00:50:05,040
Speaker 2: of cuts that Doge can make versus reconciliation bills can make,

994
00:50:05,520 --> 00:50:08,640
Speaker 2: and defendant the big beautiful bill, calling it quote the

995
00:50:08,760 --> 00:50:13,239
Speaker 2: single largest welfare reform in American history, along with the

996
00:50:13,400 --> 00:50:16,160
Speaker 2: largest tax cut reform in American history, the most aggressive

997
00:50:16,239 --> 00:50:20,759
Speaker 2: energy expiration in American history, and the strongest border bill

998
00:50:20,800 --> 00:50:24,200
Speaker 2: in American history, all while reducing the deficit unquote, which

999
00:50:24,239 --> 00:50:26,360
Speaker 2: it does not do. It does not reduce the deficit.

1000
00:50:27,160 --> 00:50:30,560
Speaker 2: But now that Musk's White House exit has been more solidified,

1001
00:50:31,360 --> 00:50:35,880
Speaker 2: Musk's animosity towards Trump's main palsy bill has just skyrocketed,

1002
00:50:36,200 --> 00:50:40,080
Speaker 2: posting on June third on x Everything app, I'm sorry,

1003
00:50:40,239 --> 00:50:43,279
Speaker 2: but I just can't stay to anymore. This massive, outrageous,

1004
00:50:43,440 --> 00:50:47,640
Speaker 2: pork filled congressional spending bill is a disgusting abomination. Shame

1005
00:50:47,800 --> 00:50:50,760
Speaker 2: on those who voted for it. You know you did wrong.

1006
00:50:51,000 --> 00:50:58,200
Speaker 2: You know it. Similarly, Stephen Miller has also been crashing

1007
00:50:58,280 --> 00:51:01,920
Speaker 2: out on the timeline attempt to defend the bill and

1008
00:51:02,080 --> 00:51:05,280
Speaker 2: push back on Musk's attacks in a flurry of tweets,

1009
00:51:05,440 --> 00:51:08,719
Speaker 2: one of which reads, quote the big Beautiful budshet bill

1010
00:51:09,160 --> 00:51:12,800
Speaker 2: will increase by orders of magnitude the scope, scale, and

1011
00:51:12,920 --> 00:51:15,840
Speaker 2: speed of removing illegal and criminal aliens from the United States.

1012
00:51:16,120 --> 00:51:17,960
Speaker 2: For that reason alone, is the most essential piece of

1013
00:51:18,040 --> 00:51:24,919
Speaker 2: legislation currently under construction in the entire Western world in generations. Wow,

1014
00:51:25,560 --> 00:51:29,080
Speaker 2: now Steven seems pretty worked up, And I think this

1015
00:51:29,239 --> 00:51:33,000
Speaker 2: could actually have to do not just about Musk's tweets,

1016
00:51:33,360 --> 00:51:37,600
Speaker 2: but also maybe about Steven's own personal life, because yeah,

1017
00:51:37,920 --> 00:51:41,440
Speaker 2: Steven's animosity could relate to the fact that Musk seems

1018
00:51:41,480 --> 00:51:46,560
Speaker 2: to be stealing Stephen Miller's own Katie Miller. Katie Miller

1019
00:51:47,000 --> 00:51:49,640
Speaker 2: was working in a top position at Dome as a

1020
00:51:49,680 --> 00:51:52,960
Speaker 2: special government employee, and now that her designation has also expired,

1021
00:51:53,160 --> 00:51:56,439
Speaker 2: she is leaving the government to continue working with Musk

1022
00:51:56,640 --> 00:52:01,960
Speaker 2: full time, including arranging Musk's own an interview appearances. It

1023
00:52:02,120 --> 00:52:05,280
Speaker 2: is not looking great, folks. The cock chair is getting warmed.

1024
00:52:07,360 --> 00:52:10,480
Speaker 2: I am not thrilled about Elon Musk possibly having a

1025
00:52:10,560 --> 00:52:14,560
Speaker 2: baby with Stephen Miller's knife. This is really dark timeline.

1026
00:52:15,120 --> 00:52:19,560
Speaker 1: I think all of them should be doing better, different different.

1027
00:52:19,719 --> 00:52:23,360
Speaker 2: I certainly can critique the way polyamory functions in in

1028
00:52:23,480 --> 00:52:29,160
Speaker 2: you know, and leftist anarchist faces. This is the most toxic. Yeah.

1029
00:52:29,760 --> 00:52:31,920
Speaker 3: This this is a night of wrong wives too, and

1030
00:52:32,120 --> 00:52:34,840
Speaker 3: hopefully it ends up for all of these motherfuckers like

1031
00:52:34,920 --> 00:52:36,440
Speaker 3: it did for him buch So.

1032
00:52:36,760 --> 00:52:40,840
Speaker 2: Yeah, Stephen Miller went on TV last week to like

1033
00:52:41,239 --> 00:52:43,400
Speaker 2: talk about how much he cares about his family.

1034
00:52:43,560 --> 00:52:45,920
Speaker 1: It's it's such, it's such good timing.

1035
00:52:46,360 --> 00:52:48,160
Speaker 2: It's really dark for him.

1036
00:52:48,680 --> 00:52:52,960
Speaker 1: Yeah, if you marry Stephen Miller, it's because you're you're

1037
00:52:53,040 --> 00:52:55,200
Speaker 1: both the same kind of evil and if that's the

1038
00:52:55,280 --> 00:52:57,480
Speaker 1: kind of person you are, Elon Musk is going to

1039
00:52:57,560 --> 00:52:59,879
Speaker 1: give you more opportunities to be the kind of evil

1040
00:53:00,040 --> 00:53:00,440
Speaker 1: you want to be.

1041
00:53:00,640 --> 00:53:04,680
Speaker 2: It's right, just like this is like I can't just

1042
00:53:04,760 --> 00:53:07,239
Speaker 2: tell if Musk is an upgrade or a lateral move

1043
00:53:07,280 --> 00:53:09,439
Speaker 2: from Stephen Miller. It's really tough to say.

1044
00:53:10,280 --> 00:53:12,920
Speaker 4: Yeah, this is very funny, but yeah, that is.

1045
00:53:13,840 --> 00:53:15,480
Speaker 2: This is one of the you know, last bits in

1046
00:53:15,520 --> 00:53:18,000
Speaker 2: the White House Sea Land Musk saga. He really tried

1047
00:53:18,040 --> 00:53:21,400
Speaker 2: to like push forward this this this doge to retire

1048
00:53:21,440 --> 00:53:24,880
Speaker 2: all government employees' agenda, and it ran into way more

1049
00:53:24,920 --> 00:53:26,680
Speaker 2: roadblocks than what he was expecting. And he seems really

1050
00:53:26,760 --> 00:53:28,719
Speaker 2: upset about that. And now he has to return to

1051
00:53:28,760 --> 00:53:31,480
Speaker 2: the private sector to save it's failing businesses, which have

1052
00:53:31,560 --> 00:53:33,719
Speaker 2: only started to fail more now that he damaged an

1053
00:53:33,760 --> 00:53:39,160
Speaker 2: already kind of uh a troubling reputation the past few months. Yeah.

1054
00:53:40,000 --> 00:53:42,919
Speaker 2: So yeah, that is the update on on Elon Musk.

1055
00:53:43,640 --> 00:53:47,600
Speaker 1: Awesome, Well, everybody, we reported the news. I love reporting

1056
00:53:47,680 --> 00:53:49,040
Speaker 1: the news and that you did it.

1057
00:53:49,480 --> 00:53:51,600
Speaker 4: Goodbye, we reported the news.

1058
00:54:00,120 --> 00:54:02,560
Speaker 8: It could happen. Here is a production of cool Zone Media.

1059
00:54:02,760 --> 00:54:05,760
Speaker 8: For more podcasts from cool Zone Media, visit our website

1060
00:54:05,880 --> 00:54:09,399
Speaker 8: coolzonmedia dot com, or check us out on the iHeartRadio app,

1061
00:54:09,560 --> 00:54:11,319
Speaker 8: Apple Podcasts, or wherever you.

1062
00:54:11,400 --> 00:54:12,360
Speaker 3: Listen to podcasts.

1063
00:54:12,840 --> 00:54:14,759
Speaker 8: You can now find sources for it could happen here,

1064
00:54:14,800 --> 00:54:17,760
Speaker 8: listed directly in episode descriptions. Thanks for listening,