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Speaker 1: Also media.

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

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

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

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Speaker 2: I'm joined by James Stout and Robert Evans. Yes, this

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Speaker 2: episode recovering the week of November nineteen to November twenty fourth.

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Speaker 3: Boy, this year's just blown by yeah fast, yeah, yeah.

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Speaker 3: They sped up the time stream. You know what else

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Speaker 3: sped up the time stream watching something on Twitter blow

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Speaker 3: up again. We can't seem to stop talking about this

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Speaker 3: fucking website and I'm tired of it. But the big

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Speaker 3: news this week from Elon Musk's fucking vanity propagana app

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Speaker 3: is see Everything Happen That they introduced a new feature

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Speaker 3: to let you know the location of the account and

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Speaker 3: also the number of like name changes, like how many

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Speaker 3: username changes it's had since the account has started. I

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Speaker 3: would say within sort of progressive and liberal circles. The

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Speaker 3: i'm an interpretation of what's happened is best summarized by

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Speaker 3: this Daily Beast headline. Top MAGA influencers accidentally unmasked as

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Speaker 3: foreign trolls, No shit, Now, as is often the case,

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Speaker 3: this isn't entirely accurate. Not to say that there's not

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Speaker 3: a shitload of foreign trolls who are making money by

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Speaker 3: pretending to be American MAGA influencers. There definitely are. We've

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Speaker 3: known about this since well before this Twitter change. One

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Speaker 3: of the most prominent people on Musk's Twitter, Ean Miles Chong,

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Speaker 3: is a Malaysian man who has never been to the

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Speaker 3: United States and publishes nothing but MAGA content. Now, what's

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Speaker 3: happened here? You can find going through there's a bunch

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Speaker 3: of threads. There's threads on Blue Sky, threads on Twitter, threads,

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Speaker 3: and various articles that are basically all copies of each

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Speaker 3: other that are collecting a bunch of these accounts that

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Speaker 3: have been busted, right. One good example would be the

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Speaker 3: Magination verified account, which has almost four hundred thousand followers.

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Speaker 3: Started in twenty twenty four, it's had five name changes

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Speaker 3: since October twenty twenty five, and it is based in

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Speaker 3: Eastern Europe Non EU.

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Speaker 2: Yeah that's a nation, yeah yeah, yeah.

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Speaker 3: A lot of people have taken to mean like it's Russian,

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Speaker 3: right yeah. Another account is the Ivanka news Trump, which

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Speaker 3: displays as Ivanka Trump, even though it has nothing to

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Speaker 3: do with her, which it does note in its Twitter bio.

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Speaker 3: The account was started in twenty ten, it has had

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Speaker 3: eleven user changes since August of twenty twenty four, and

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Speaker 3: it is apparently based in Nigeria.

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Speaker 4: You have to see it.

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Speaker 3: You're seeing like aload a shitload of stuff like this right,

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Speaker 3: and it's being taken unfortunately. I think this is a

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Speaker 3: mistake and I hate to be like the hey, guys,

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Speaker 3: stop being happy about this, but you should because you're

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Speaker 3: wrong about what's happening here. Most people are like the

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Speaker 3: Daily Beast account posts some liberal Twitter account being like

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Speaker 3: this is total armageddon for the online right. It's looking

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Speaker 3: like half of their large accounts were foreigners posting as

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Speaker 3: Americans all along. Now, let me clarify a couple things.

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Speaker 3: For one thing, nothing that Elon has done here, nothing

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Speaker 3: that Twitter has revealed has proven that these accounts exist

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Speaker 3: in any particular country. I'm going to explain why a

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Speaker 3: lot of people use something called a vp and a

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Speaker 3: VPN masks the location that you're browsing and logging in from, right,

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Speaker 3: and you can use a VPN to look like you're

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Speaker 3: posting from almost any country on the planet, and there

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Speaker 3: is no evidence whatsoever that Twitter has done anything at

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Speaker 3: all to deal with this right to like make sure

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Speaker 3: that they're getting someone's actual location. A bunch of accounts,

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Speaker 3: a bunch of like people have pointed out like, hey, look,

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Speaker 3: this is saying I'm from a country that I've literally

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Speaker 3: never been to, Like here's my information. I'm very transparent.

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Speaker 3: And there have also been organizations, including liberal you know,

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Speaker 3: coded organizations, that have been mistakenly identified as coming from

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Speaker 3: a country that they are not set up. And for example,

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Speaker 3: the Planned Parenthood account was showing us from Germany, which

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Speaker 3: is ignited this conspiracy theory on the right that Planned

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Speaker 3: Parenthood is some European fucking influence op in the United States. No,

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Speaker 3: they used a VPN because they're in danger because it's

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Speaker 3: Planned Parenthood, right.

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Speaker 5: No.

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Speaker 2: I mean I ran into a very similar situation because

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Speaker 2: I mostly use Twitter to look at yowie now, and

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Speaker 2: when I was in Germany last month, it wouldn't let

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Speaker 2: me look at the AWI without putting in my government

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Speaker 2: ID for like age verification, sure of course, and then

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Speaker 2: the state hits garrison, so obviously a non starter. I'm

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Speaker 2: not I'm not, I'm not giving X. The everything app

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Speaker 2: my government id to allow me to look at Yawi

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Speaker 2: in Germany. Sure, so instead I had to put on

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Speaker 2: the VPN so I'm back in the States and then

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Speaker 2: I can look at the AYAUI. So it's basically the

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Speaker 2: same situation between me and Planned Parenthood here.

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Speaker 3: Yes, I've said often that you and Planned Parenthood basically

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Speaker 3: identical beings. What's happening here is it is worth talking about.

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Speaker 3: But it's worth talking about not because we suddenly know

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Speaker 3: the truth that it's been revealed about. We don't really

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Speaker 3: know anything more than we did before this change came in, right.

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Speaker 2: Well except Robert, I mean the biggest the biggest news

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Speaker 2: is that the DHS has been a massad operation this

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Speaker 2: last time. Yes, that's right, Yes, like we've always suspected.

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Speaker 3: Yeah, so the the Department of Homeland Security account I

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Speaker 3: think it was, got listed as having been based in Israel.

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Speaker 3: This is not real, Like it's not this isn't even

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Speaker 3: X fucking up. Somebody just edited a screenshot and there's

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Speaker 3: so many of these going around, hundreds and hundreds of them,

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Speaker 3: right that this just kind of got shuffled in to

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Speaker 3: the flood and a lot of people didn't catch it right,

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Speaker 3: and it just gets integrated into people's beliefs about the world.

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Speaker 4: Right.

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Speaker 3: This is a standard story with how Twitter works now.

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Speaker 3: And this is, by the way, is overall I think

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Speaker 3: beneficial to Musk and his kind of people, which is

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Speaker 3: that we know less every day about the world. There's

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Speaker 3: more disinformation about what's happening. People are less keyed in

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Speaker 3: on reality and more just getting locked into different delusions.

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Speaker 3: Like That's what the story is here, which is that

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Speaker 3: this app and the way that social media in general works,

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Speaker 3: particularly in this age, each of these changes, even the

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Speaker 3: ones that get celebrated as having revealed something, are just

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Speaker 3: fogging up reality, and they're doing it in such a

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Speaker 3: way as to make it so that like no one

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Speaker 3: knows anything about what's going on. Right, this is like

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Speaker 3: that this is the standard playbook that you've been getting

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Speaker 3: out of like authoritarian regimes from forever.

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Speaker 6: Right.

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Speaker 3: What's important is not that just their propaganda be out.

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Speaker 3: It's that there's not really any any way for there

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Speaker 3: to be a consensus reality. Because if there'sn't consensus reality,

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Speaker 3: then you can't put together a large enough block of

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Speaker 3: people who all believe basically the same things about reality

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Speaker 3: to stop what's going on, right, that's what's happening here,

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Speaker 3: And you're wrong if you're looking at this as good,

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Speaker 3: if you believe that this has blown up the right

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Speaker 3: and that this has done damage to them, they're saying

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Speaker 3: the same things about you and about the left because

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Speaker 3: a shitload of people use VPNs and you can always

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Speaker 3: cherry pick a bunch of and I'm not again, none

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Speaker 3: of that I'm saying is not saying that they're in

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Speaker 3: a shitload like Elon has specifically incentivized foreign accounts in

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Speaker 3: different countries to make money by getting into the US

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Speaker 3: culture war, right, That is absolutely a big part of

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Speaker 3: how Twitter works today. No one's denying that. What I'm

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Speaker 3: saying is that you don't know any more than you

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Speaker 3: did before this came out, because you have no way

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Speaker 3: of knowing if any of these accounts are based. Where

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Speaker 3: is saying they're based because of how VPNs work. That's

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Speaker 3: what I'm saying. Yeah, that's what I've got to say.

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Speaker 4: It's incredibly annoying. It's incredibly annoying that we have to

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Speaker 4: continue writing about eggs everything. The half of half of

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Speaker 4: Blue Sky is people just virtue signaling that they're not

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Speaker 4: using Twitter, and I'm being mad at Twitter.

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Speaker 2: You know, it's the same.

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Speaker 3: Honestly, this will get me flat, But it's the same

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Speaker 3: thing about like whether people are angry about substack or

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Speaker 3: fucking Instagram or Twitter or whatever. Like, if you're using

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Speaker 3: social media, you're not doing yourself any favors. And they're

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Speaker 3: all pretty supportive of bad things and bad people. And

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Speaker 3: we use them anyway because that's the world. Like we

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Speaker 3: spend dollars anyway, and let me tell you, dollars support

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Speaker 3: some bad things. We pay taxes, and boy howdy, I

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Speaker 3: don't like where a lot of those taxes go.

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Speaker 4: Yeah, but don't don't pretend.

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Speaker 3: That because you pick the right social media app that

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Speaker 3: you're not fucking your brain up and introducing yourself to

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Speaker 3: a bunch of things that aren't true. We all do it,

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Speaker 3: Like that's the problem.

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Speaker 4: Yes, they're not good for humans broadly. Do you want

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Speaker 4: to talk about something else it's not good for humans?

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Speaker 3: Yeah, let's not talk about fucking X the every goddamn thing.

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Speaker 3: Ye anymore?

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Speaker 4: No, Unfortunately, I have I have something Robert which does

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Speaker 4: relate to X great everything app. So let's talk about Axios.

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Speaker 4: Oh yeah, are you guys familiar with Axios. It's the

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Speaker 4: use oatelet for people who hate paragraphs.

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Speaker 2: People who love cocaine.

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Speaker 4: Yeah yeah, yeah, for people reading the news while they're

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Speaker 4: having a dump. That is what Axios is for. They

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Speaker 4: ship out news for you to read while you're having a.

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Speaker 3: Ship again, which makes cocaine even a bigger part of

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Speaker 3: the picture here.

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Speaker 2: No, it's it's like it's like the ADHD is like

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Speaker 2: ideal news source.

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Speaker 3: Yeah yeah, yeah, you do a line, you have to

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Speaker 3: go take a ship, you catch up on your news.

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Speaker 4: Yeah, it's that's what they called productivity. That's that's the

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Speaker 4: Robert Evans grindset, the morning routine that everyone's been asked.

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Speaker 3: It's really it's really genius of fucking Axios to hit

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Speaker 3: that demographic exactly because those people also have a lot

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Speaker 3: of money because they're all day traders. True true, Yeah, yeah.

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Speaker 2: I have I have polymarket on the Califi on the

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Speaker 2: other Axios always pulled up.

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Speaker 4: That's split screening.

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Speaker 3: You have one of those Apple like flat grass glass

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Speaker 3: touch screen panels. But it's just for doing coke off

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Speaker 3: of you've just got lines kind off on.

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Speaker 4: Yeah, it's because the metaglass is a contact right looping

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Speaker 4: Axio screen at your Axios and use that left for

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Speaker 4: people who are taking cocaine. Has seemingly been duped into

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Speaker 4: running a Russian wish list as a proposed piece plant

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Speaker 4: in Ukraine. Yeah great, this is what happens when you

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Speaker 4: do journalism the speed of paranoia. But this has come

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Speaker 4: at the same time as Trump has proclaimed via truth

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Speaker 4: the medium of a truth on through social that Ukraine

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Speaker 4: was not showing suficient gratitude for what we had like

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Speaker 4: eleven month of him failing to end the war.

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Speaker 7: Yeah.

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Speaker 4: So this twenty eight point plan was first published by Axios,

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Speaker 4: and it was pretty much immediately rejected by a number

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Speaker 4: of Senators, led by Senator Angus King, who were at

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Speaker 4: a security conference in Halifax, Halifax, Canada. Not og Halifax,

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Speaker 4: shout out yeah Halifax Junior. The senators pretty much immediately

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Speaker 4: said that the US was not the author of the document.

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Speaker 4: Rubio quote made it very clear to us that we

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Speaker 4: are recipients of a proposal that was delivered to one

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Speaker 4: of our representatives, said Senator Mike Grounds. So what they

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Speaker 4: are saying is that the US didn't write to document

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Speaker 4: and it was delivered to them. One can safely assume

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Speaker 4: by Russia. Right, Rubio using X the Everything app then

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Speaker 4: attempted to deny this. So what it appeared years has

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Speaker 4: happened is that this plan was drafted by Russian special

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Speaker 4: envoy dmitriev probably was Steve Witkoff.

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Speaker 3: Sure that sounds right.

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Speaker 4: So Wickkoff is Trump's what is I think he's a

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Speaker 4: special envoy to Russia at this point.

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Speaker 3: Yeah, I believe he's an onvoid of Russia. Yeah, Warren

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Speaker 3: Zevon wrote a song about guys like him.

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Speaker 4: Yes, yeah he has. He has not covered himself in

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Speaker 4: glory in his time doing this. He's kind of a

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Speaker 4: useful fool. He's formerly like a real estate.

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Speaker 3: Guy that'll prepare you to deal with Vladimir Putin, having

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Speaker 3: sold houses during the subprime mortgage crisis.

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Speaker 4: Yeah. Yeah, Like it's pretty much what he's doing here, right,

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Speaker 4: Like he's consistently been duped and pretty much has become

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Speaker 4: an advocate for the Russian point of view a lot

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Speaker 4: of the times. In this case, it seems that it

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Speaker 4: was then strategically leaked to Axios. Right when Barak Ravid,

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Speaker 4: who authored the Axios article, posted it on Eggs the

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Speaker 4: Everything web site. Steve Whitcoff responded saying, quote, he must

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Speaker 4: have got this from K. This is very funny because

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Speaker 4: we have Steve Witcoff right negotiating a peace process which

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Speaker 4: affects millions of people, and he also doesn't know how

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Speaker 4: to use the DM button on X the Everything website.

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Speaker 2: To be fair, X the Everything I've just changed their

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Speaker 2: DMS and the whole the whole user interface for the

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Speaker 2: DMS is completely different. Now you have to put in

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Speaker 2: like a pass co and they claim to be encrypted,

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Speaker 2: and it's much uglier to look at.

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Speaker 4: So in defense in defense of Steve, instead you can

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Speaker 4: instead leak.

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Speaker 2: The safer, more secure option might just be to do

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Speaker 2: it all in public.

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Speaker 4: And to do it in public. Yeah, So so Steve

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Speaker 4: of course using a code name there K will never know. Yeah,

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Speaker 4: because we can possibly tell that Careal Dimitria my might

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Speaker 4: be using K as a code name also the first

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Speaker 4: letter of his first name. So it seems very like

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Speaker 4: that either Dmitrie of someone else in Russia decided to

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Speaker 4: leak this plan to Barakraavid or Dave Lawler, knowing it

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Speaker 4: would be raised at a press conference of belling that Trump, who,

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Speaker 4: according towards the Post, seems to have very little detailed

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Speaker 4: knowledges and negotiations. Would probably see this as a quote

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Speaker 4: unquote deal that then he could claim for himself, right,

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Speaker 4: and it worked. I want to talk about how Axios's

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Speaker 4: model makes that possible.

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Speaker 2: Right.

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Speaker 4: I'm very well aware that Barackravid was a member of

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Speaker 4: the eighty two hundred unit in Israel. If people I'm familiar,

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Speaker 4: that's like a sigint Israeli intelligence unit. This is widely known.

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Speaker 4: I've seen this being discussed in sort of relation to this.

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Speaker 4: The thing is, he doesn't need to be nefarious for

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Speaker 4: this to happen, and I think the most likely option

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Speaker 4: here is that the Axios model is to do insider

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Speaker 4: journalism and then rush to be the first to post

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Speaker 4: it on social media and then get a bazillion clicks

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Speaker 4: for your z seventy eight word article. Right. That is

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Speaker 4: how That is their entire business model.

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Speaker 2: It is the name of their whole game.

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Speaker 4: Yeah, that's why they don't use paragraphs. It's news for

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Speaker 4: people who are like waiting for their coffee at Starbucks

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Speaker 4: or whatever the problem is in this case, states are

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Speaker 4: or nonstate actors, right, can effectively place a leak and

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Speaker 4: they know that Axios will rush it to press probably

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Speaker 4: in minutes, if not ours. And with the way that

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Speaker 4: the United States executive branches right now, it seems very

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Speaker 4: clear that that they can get it in front of Trump,

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Speaker 4: then they're going to get a reaction one way or another.

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Speaker 4: So it seems that Rubio was effectively cut out, that

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Speaker 4: the United States Secretary of State was effectively cut out

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Speaker 4: of this whole process. And there's a lot of reporting about,

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Speaker 4: like I don't want to do kremlinology for the Trump

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Speaker 4: White House particularly, but it shows how these news outlets,

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Speaker 4: these news outlets are sort of don't fact check that

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Speaker 4: rush to press, to do everything for social media can

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Speaker 4: effectively be used right in a way that the benefits

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Speaker 4: in this case Russia, but any number of organizations could

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Speaker 4: do the same thing.

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Speaker 2: Robert mentioned some kind of like Wartimes warn that some

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Speaker 2: kind of Wartimes song, And I was wondering, where is

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Speaker 2: the country of Zevon? You said, there's like a song

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Speaker 2: about Warren Zevon.

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Speaker 4: Jesus Garrison, Garrison, get out of you hears about discrimination

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Speaker 4: in the workplace. Ah, I'm going to do a Woody

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Speaker 4: Guthrie thing in my next series. And Gary is just

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Speaker 4: going to sail straight past Garrison. You listen to Johnny

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Speaker 4: Cash Garrison, I liked.

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Speaker 2: I like Johnny Cash.

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Speaker 3: Okay, James Cash.

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Speaker 4: That's what they call me. Here's the ads.

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Speaker 3: And we're.

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Speaker 2: New Doge news for the first time in who knows

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Speaker 2: how the news being. There's no more Doge. According to

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Speaker 2: a report in Reuter's, DOGE has disbended eight months before

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Speaker 2: its scheduled expiration in July of twenty twenty seven. When

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Speaker 2: asked about the status of Doge earlier this month, Office

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Speaker 2: of Personal Management director Scott Poor told Reuters quote that

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Speaker 2: doesn't exist, adding that DOGE is no longer a quote

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Speaker 2: unquote centralized entity. Yeah. Boro has also said that the

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Speaker 2: DOGE mandated hiring freeze is over and that there's quote

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Speaker 2: no target around reductions unquote, meaning that the DOGE era

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Speaker 2: rule of having to fire a certain number of people

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Speaker 2: in order to be allowed to hire people is no

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Speaker 2: longer in use as well. And this isn't really surprising.

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Speaker 2: You have not really heard about many DOGE related stuff

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Speaker 2: in a while.

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Speaker 3: They haven't been doing anything in a while. Musk has

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Speaker 3: basically been out of the center loop of things. But

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Speaker 3: also they did the things that they were needed to do, right.

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Speaker 3: They did up massacred large portions of government employees. Yeah,

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Speaker 3: did permanent damage to the administrative state and cost several

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Speaker 3: hundred thousand people around the world their lives through cuts

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Speaker 3: in USA.

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Speaker 4: Yeah.

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Speaker 2: Yeah, And like two former DOGE employees, including big Balls,

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Speaker 2: now just work on web design for US government websites,

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Speaker 2: and other DOG officials have moved to agencies which they

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Speaker 2: administered cuts to. A former DOGE team member, Zachary Terrell

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Speaker 2: is now the chief technology officer at the Department of

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Speaker 2: Health and Human Services, And Jeremy Lewin, who assisted the

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Speaker 2: slashing of you say it, now oversees foreign assistants at

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Speaker 2: the State Department.

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Speaker 3: Yeah.

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Speaker 2: So those guys got jobs out of this. All of

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Speaker 2: the people who got fired or got natively impacted by

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Speaker 2: the government shutdown are probably not going to be coming

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Speaker 2: out as well as mister big Balls here.

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Speaker 7: Well.

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Speaker 3: And there's some evidence that a number of folks who

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Speaker 3: worked with DOGE are now feeling left in the wind

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Speaker 3: and potentially in danger because there are a lot of

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Speaker 3: people who want these folks to be prosecuted for what

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Speaker 3: they did. Yeah, there's definitely talk about that. If there's

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Speaker 3: another democratic administration, we'll see if they would ever have

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Speaker 3: the big balls to do it. But there was an

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Speaker 3: article in Politico recently and I'm going to read a

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Speaker 3: quote from that Musk had not just been their visionary

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Speaker 3: leader for them, he was their protector, the man who

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Speaker 3: had an elect direct line to Trump, who they believed

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Speaker 3: could pick up the phone and secure a presidential pardon

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Speaker 3: if the worst came. Without his presence in Washington, they

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Speaker 3: were suddenly exposed. A senior DOSE figure named Donald Park

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Speaker 3: tried to reassure his colleagues that they were still brothers

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Speaker 3: in arms and that Musk would continue to protect them.

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Speaker 3: That led to another protesting and advising, guys, seriously, get

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Speaker 3: your own lawyer if you needed. He LUNs great, but

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Speaker 3: you need to watch your own back. Watch your backs, guys.

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Speaker 4: Yeah, these guys would be some of the more like

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Speaker 4: presumably very easy to prosecute and like obvious targets. Yes,

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Speaker 4: another democratic administration's.

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Speaker 3: Some really obvious crimes in terms of like protect action

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Speaker 3: of information, you know, like some some pretty obvious rule

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Speaker 3: breaking that went on that's not being prosecuted now, but yeah,

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Speaker 3: they're right, it could be prosecuted in the future.

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Speaker 2: Those like first three four months of the Trump admin.

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Speaker 2: Ye what it really was just full steam ahead on

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Speaker 2: the Silicon Valley version of things, right, like the move

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Speaker 2: fast and brave things. Yeah, that's such a wild time

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Speaker 2: to look back on, not only just in terms of

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Speaker 2: how much damage they did, but the idea that if

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Speaker 2: they were going to continue at that pace for the

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Speaker 2: rest of the term. The government already is fundamentally different

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Speaker 2: in some ways, but like how much worse that would

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Speaker 2: have been? Yeah, Yeah, and if Musk's ego is in

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Speaker 2: part what's sabotaged that from being complete and really kind

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Speaker 2: of doing that more like Jarvin inspired project. Yeah, Hubris

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Speaker 2: uh kills kills a man once again. But there is

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Speaker 2: aspects of like the doge idea and this government efficiency

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Speaker 2: thing which aren't fully going away like this, this still

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Speaker 2: is an aspect of the Trump administration. There still is

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Speaker 2: like some of those guys at the Auspice of Budget

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Speaker 2: and Management and the Hair twenty twenty five guys who

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Speaker 2: have a lot of this government efficiency quote unquote government

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Speaker 2: efficiency type stuff that they're still working on, including at

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Speaker 2: the Education Department, which last week the Trump administration took

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Speaker 2: another step towards closing the Department of Education by shifting

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Speaker 2: some of its duties to other federal agencies, which the

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Speaker 2: Admin claims will quote streamline federal education activities on the

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Speaker 2: legally required programs, and reduce administrative burden unquote. That is

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Speaker 2: going to be done by these six new interagency agreements

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Speaker 2: which have been signed with the Departments of Labor, Interior,

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Speaker 2: Health and Human Services, and State. The Education Department writing

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Speaker 2: in an announcement that this will quote break up the

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Speaker 2: federal bureaucracy, ensure efficient delivery of funded programs activities, and

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Speaker 2: move closer to fulfilling the President's promise to return education

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Speaker 2: to the States. So by splitting up Education Department duties

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Speaker 2: among the four different agencies in three different interagency agreements,

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Speaker 2: this is supposed to cut red tape and lighten central bureaucracy.

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Speaker 4: You have seven entities now what one entity did before.

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Speaker 2: The elementary, high school, and post secondary programs will now

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Speaker 2: be administered by the Department of Labor.

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Speaker 4: That's great.

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Speaker 2: We'll now overseee over thirty billion dollars in education grants

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Speaker 2: aimed at trying to boost the number of Americans in

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Speaker 2: the workforce. The Department of the Interior will be taking

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Speaker 2: over the education departments to Indian education programs and integrating

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Speaker 2: them into existing programs administered by the Department of the Interior,

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Speaker 2: with quote unquote proper oversight by the Education Department. College

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Speaker 2: childcare programs, and foreign medical school accreditation will be administered

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Speaker 2: and overseen by the Health and Human Services, and the

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Speaker 2: State Department will now oversee all foreign education programs, handle

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Speaker 2: international education grants, and fully administer the full Bright program.

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Speaker 2: Justification for this State Department takeover of these funds specifically

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Speaker 2: cited five instances of grants that were used to fund

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Speaker 2: academic and medical research on trans people, writing that these

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Speaker 2: programs have deviated from the core mission on The announcement

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Speaker 2: from the Education Departments reads that the State Department is

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Speaker 2: quote best positioned to tailor foreign education programs with the

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Speaker 2: national security and foreign policy priorities of the United States.

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Speaker 2: This partnership provides an opportunity to streamline international education program

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Speaker 2: funding and data collection measures, consolidate program management, and advance

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Speaker 2: national security interests.

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Speaker 4: That's not good.

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Speaker 2: Yeah, that doesn't seem great. Huh.

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Speaker 8: Yeah.

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Speaker 4: This last part is particularly concerning that the US previously

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Speaker 4: has done a lot of funding of education programs around

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Speaker 4: the world, and to see that pretty much I like

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Speaker 4: with this current vasion of the State Department either disappear

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Speaker 4: or become even more up propaganda. Like it's really worrying.

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Speaker 4: This kind of builds on that dose stuff that you

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Speaker 4: were talking about. This is the end of the State

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Speaker 4: Department doing anything other than the propaganda and I guess

438
00:23:13,680 --> 00:23:14,400
Speaker 4: warmaking well.

439
00:23:14,440 --> 00:23:18,080
Speaker 2: And specifically, like Rubio's focus on education has been to

440
00:23:18,680 --> 00:23:23,639
Speaker 2: crack down on academics palestatiing academics, academics who have who

441
00:23:23,720 --> 00:23:29,120
Speaker 2: have protest in support of Palestine. That's specifically what Rubio

442
00:23:29,240 --> 00:23:33,360
Speaker 2: has talked about in terms of you know, universities. Yeah,

443
00:23:33,480 --> 00:23:36,479
Speaker 2: so with all the stuff in that statement about you know,

444
00:23:36,720 --> 00:23:41,159
Speaker 2: national security and foreign policy priorities, it's not hard to

445
00:23:41,160 --> 00:23:45,840
Speaker 2: see what they could be gesturing towards. Yeah, as the

446
00:23:45,880 --> 00:23:49,840
Speaker 2: announcements are currently written, a lot of the programs itself,

447
00:23:49,880 --> 00:23:52,840
Speaker 2: at least in the trench transitionary period, remain kind of

448
00:23:52,880 --> 00:23:56,320
Speaker 2: the same. They're shifting who is like quote unquote administering them.

449
00:23:56,359 --> 00:23:59,240
Speaker 2: That's the word they use a lot. But they're not

450
00:23:59,600 --> 00:24:02,520
Speaker 2: cutting funds to these programs at the moment, and they

451
00:24:02,520 --> 00:24:06,159
Speaker 2: do talk about them as like legally required programs. But

452
00:24:06,320 --> 00:24:09,440
Speaker 2: I mean Carolyn Levitt and Linda McMahon have said, this

453
00:24:10,000 --> 00:24:13,840
Speaker 2: is just one step towards well fully sending education back

454
00:24:13,880 --> 00:24:14,439
Speaker 2: to the States.

455
00:24:15,200 --> 00:24:15,440
Speaker 1: Woh.

456
00:24:16,400 --> 00:24:21,520
Speaker 4: This also was sort of like in massive disparities in

457
00:24:21,720 --> 00:24:25,760
Speaker 4: educational outcomes state by state in the United States, right, Like,

458
00:24:25,800 --> 00:24:28,440
Speaker 4: we already have that to some extent, but that's only

459
00:24:28,480 --> 00:24:31,720
Speaker 4: going to be exacerbated by this. Right talking about things

460
00:24:31,760 --> 00:24:37,639
Speaker 4: happening between the states, let's talk about Gregory Buffino, person

461
00:24:37,640 --> 00:24:41,119
Speaker 4: who supposedly patrols the borders of the United States but

462
00:24:41,200 --> 00:24:44,919
Speaker 4: has more recently been doing internal enforcement for the Border Patrol.

463
00:24:45,280 --> 00:24:47,280
Speaker 4: He gave an interview to AP recently that I was

464
00:24:47,320 --> 00:24:50,560
Speaker 4: just reading. They did confirm interestingly that like a few

465
00:24:50,640 --> 00:24:53,159
Speaker 4: weeks ago, maybe months ago, we've been talking about Bevino

466
00:24:53,240 --> 00:24:55,360
Speaker 4: and like trying to work out if he was still

467
00:24:56,160 --> 00:24:58,560
Speaker 4: chief Patrol agent in El Centro. It appears that he is.

468
00:24:58,640 --> 00:25:01,880
Speaker 4: But he's also reminder of this operation at large, which

469
00:25:01,920 --> 00:25:05,040
Speaker 4: is their sort of the thing that has moved from

470
00:25:05,040 --> 00:25:08,359
Speaker 4: Los Angeles to Chicago, which is now in Charlotte. Right,

471
00:25:08,800 --> 00:25:12,280
Speaker 4: this sort of internal enforcement operation. He calls his team

472
00:25:12,359 --> 00:25:16,399
Speaker 4: and now quote unquote sanctuary busters, and he said that

473
00:25:16,520 --> 00:25:19,919
Speaker 4: quote there will be no more sanctuaries, which kind of

474
00:25:20,080 --> 00:25:22,720
Speaker 4: does build on what I spoke about in our last

475
00:25:22,920 --> 00:25:25,560
Speaker 4: ed right when we spoke about the idea that the

476
00:25:25,600 --> 00:25:27,960
Speaker 4: reason they had targeted Charlotte was because it appeared on

477
00:25:28,000 --> 00:25:32,080
Speaker 4: that CIS map quote unquote sanctuary city or sanctuary jurisdiction,

478
00:25:32,240 --> 00:25:36,480
Speaker 4: despite the passage of legislation in the state which would

479
00:25:36,480 --> 00:25:38,760
Speaker 4: have prevented it doing the things that the sanctuaries do.

480
00:25:39,600 --> 00:25:42,320
Speaker 4: I just want to talk about this ABC investigation into

481
00:25:42,760 --> 00:25:46,520
Speaker 4: CBP's use of licensed plate readers. CBPS has had these

482
00:25:46,560 --> 00:25:49,560
Speaker 4: for like eight or nine years now. I found the

483
00:25:49,680 --> 00:25:54,240
Speaker 4: twenty seventeen piece they wrote out their justification for using them. Right,

484
00:25:54,840 --> 00:25:58,679
Speaker 4: Their use has grown immensely right in a yeah, and

485
00:25:58,720 --> 00:26:02,240
Speaker 4: it has grown under both of meministrations we've I suppose

486
00:26:02,440 --> 00:26:05,800
Speaker 4: Trump administration from twenty twenty by the administration twenty twenty,

487
00:26:05,840 --> 00:26:10,280
Speaker 4: twenty eighty four. We spoke actually in an episode that

488
00:26:10,720 --> 00:26:11,920
Speaker 4: I think it was just Robert and I in that

489
00:26:11,920 --> 00:26:14,639
Speaker 4: episode when we spoke about Gavin Newsom. People love that

490
00:26:14,720 --> 00:26:18,640
Speaker 4: episode and they send me great feedback, because guys, it's

491
00:26:18,640 --> 00:26:20,879
Speaker 4: important that we all know that the only person standing

492
00:26:20,920 --> 00:26:24,400
Speaker 4: up against Trump right now is Gavin Newsom. Everything else

493
00:26:24,480 --> 00:26:27,440
Speaker 4: is pointless. But in that episode, we spoke about how

494
00:26:27,760 --> 00:26:34,080
Speaker 4: many California jurisdictions share license plate reader information with federal

495
00:26:34,160 --> 00:26:38,120
Speaker 4: immigration authorities, even when California law prohibits them from doing so. Right,

496
00:26:38,160 --> 00:26:40,320
Speaker 4: this is kind of one of those these things they

497
00:26:40,320 --> 00:26:43,439
Speaker 4: were it's a ratchet, right. Once you give that power

498
00:26:43,480 --> 00:26:46,440
Speaker 4: to the state, it belongs to all of the state,

499
00:26:46,480 --> 00:26:49,560
Speaker 4: and you can never take it back. Automated license to

500
00:26:49,600 --> 00:26:51,720
Speaker 4: plate readers have been a big thing in this kind

501
00:26:51,800 --> 00:26:55,840
Speaker 4: of the post twenty twenty tendency of democratic mayors in

502
00:26:55,880 --> 00:27:00,240
Speaker 4: big cities to massively increase spending on the police and

503
00:27:00,280 --> 00:27:04,960
Speaker 4: massively increase police surveillance. We have automated cameras on our

504
00:27:05,040 --> 00:27:10,040
Speaker 4: lampposts here in San Diego now right, California has prosecuted

505
00:27:10,680 --> 00:27:14,280
Speaker 4: one jurisdiction that I'm aware of, which is Alcoholone. People

506
00:27:14,280 --> 00:27:17,520
Speaker 4: will be familiar with alcoholne from Alcoholone. Mayor Bill Well's

507
00:27:17,520 --> 00:27:21,880
Speaker 4: attempt to make a country music song about how schools

508
00:27:21,920 --> 00:27:27,760
Speaker 4: are turning kids trans that is un ironically probably the

509
00:27:28,640 --> 00:27:32,119
Speaker 4: most national use it that ALCOHOLA has made for a while.

510
00:27:32,600 --> 00:27:37,919
Speaker 4: But bundahursued Alcoholone for showing that data. My guess is

511
00:27:38,000 --> 00:27:40,879
Speaker 4: that that is because it's alcoholone, right, Because alcohol is

512
00:27:40,920 --> 00:27:42,960
Speaker 4: a city where the mayor makes a country music song

513
00:27:43,000 --> 00:27:45,640
Speaker 4: about how schools are turning children trans like it's very

514
00:27:45,640 --> 00:27:49,920
Speaker 4: obviously like a partisan prosecution. There are many other jurisdictions

515
00:27:49,960 --> 00:27:53,639
Speaker 4: doing this. What Border Patrol does with these cameras is

516
00:27:53,680 --> 00:27:58,840
Speaker 4: it targets quote unquote suspicious activities and then it requests stops.

517
00:27:59,000 --> 00:28:01,359
Speaker 4: Sometimes this stops an made by Border Patrol, but are

518
00:28:01,359 --> 00:28:04,000
Speaker 4: made by local police right on the pretext of something

519
00:28:04,040 --> 00:28:07,280
Speaker 4: like speeding or failing to signal before you change lanes,

520
00:28:08,440 --> 00:28:11,560
Speaker 4: having a break light out could be many, many things, right.

521
00:28:12,480 --> 00:28:17,120
Speaker 4: The ABC piece quoted Deputy Joel bab Of saying, quote,

522
00:28:17,160 --> 00:28:19,560
Speaker 4: the beautiful thing about the Texas traffic code is there

523
00:28:19,640 --> 00:28:23,040
Speaker 4: thousands of things you can stop a vehicle for. The

524
00:28:23,119 --> 00:28:26,919
Speaker 4: idea here is not to explicitly talk about the license

525
00:28:27,000 --> 00:28:29,320
Speaker 4: plate readers, right, And the fact that they are using

526
00:28:29,359 --> 00:28:33,400
Speaker 4: these to do predictive surveillance is what they call it. Right,

527
00:28:33,880 --> 00:28:38,160
Speaker 4: They're trying to highlight like suspicious patterns of vehicle motion

528
00:28:38,320 --> 00:28:43,400
Speaker 4: and stop people. The piece has some they obtained through

529
00:28:43,400 --> 00:28:46,360
Speaker 4: public records requests from a court case a whatchapp group

530
00:28:46,400 --> 00:28:49,200
Speaker 4: chat between Border Patrol and Texas officers, which the opposite

531
00:28:49,240 --> 00:28:52,680
Speaker 4: shared movement, social media profiles, car rentals, and home addresses

532
00:28:53,600 --> 00:28:56,760
Speaker 4: of people who they were interested in surveilling. Right, and

533
00:28:56,960 --> 00:29:01,840
Speaker 4: it reveals a massive level of surveillance. You know, if

534
00:29:01,880 --> 00:29:04,280
Speaker 4: you if you're thinking of border patrol and you're still

535
00:29:04,360 --> 00:29:06,400
Speaker 4: under the impression that in America, the border can't come

536
00:29:06,440 --> 00:29:08,560
Speaker 4: to you wherever you are, this is another example of

537
00:29:08,560 --> 00:29:11,600
Speaker 4: why that's not true. Right, DHS uses these all over

538
00:29:11,640 --> 00:29:14,600
Speaker 4: the country to include outside of one hundred mile border

539
00:29:14,680 --> 00:29:18,800
Speaker 4: enforcement zone. Right, this piece seems to believe that the

540
00:29:18,800 --> 00:29:21,720
Speaker 4: board one hundred mile zone is it's like a legal

541
00:29:21,760 --> 00:29:25,120
Speaker 4: hard line. It's not. It's an interpretation of a quote

542
00:29:25,160 --> 00:29:29,600
Speaker 4: unquote reasonable distance. There is no hard line stopping BP

543
00:29:29,760 --> 00:29:31,840
Speaker 4: for operating further from the border than that. That is

544
00:29:31,920 --> 00:29:35,560
Speaker 4: just generally where the interpretation of a reasonable distance from

545
00:29:35,600 --> 00:29:39,640
Speaker 4: the border is perceived to fall. Border patrol has these

546
00:29:39,720 --> 00:29:42,440
Speaker 4: cameras at fixed points, so like that would be border

547
00:29:42,440 --> 00:29:44,640
Speaker 4: patrol crossings. You know, when you enter or enter the

548
00:29:45,000 --> 00:29:46,560
Speaker 4: enter or leave the country at a port of entry

549
00:29:47,040 --> 00:29:50,160
Speaker 4: and then at checkpoints. Right, people will be familiar with

550
00:29:50,240 --> 00:29:52,440
Speaker 4: checkpoints that live in a border area. And then they

551
00:29:52,480 --> 00:29:55,720
Speaker 4: also have these in mobile and covert capacities. Right, and

552
00:29:55,720 --> 00:29:57,959
Speaker 4: they're using them to find people who might be driving

553
00:29:58,000 --> 00:30:00,640
Speaker 4: near the border or staying and and then leaving at

554
00:30:00,640 --> 00:30:03,160
Speaker 4: a strange time, and then they're building a profile of

555
00:30:03,200 --> 00:30:07,280
Speaker 4: those people's movements and using that request stops. Right. It's

556
00:30:07,320 --> 00:30:09,760
Speaker 4: a level of surveillance that I think should be worrying

557
00:30:10,160 --> 00:30:10,920
Speaker 4: to many people.

558
00:30:11,160 --> 00:30:14,760
Speaker 2: And they have access to these like larger integrated camera

559
00:30:14,840 --> 00:30:17,960
Speaker 2: networks like by Flock Safety, which I've talked about before,

560
00:30:17,960 --> 00:30:21,479
Speaker 2: including I think yesterday's episode, as Flock is like an

561
00:30:21,480 --> 00:30:25,240
Speaker 2: Atlanta based company that rose to prominence through their surveillance

562
00:30:25,280 --> 00:30:29,160
Speaker 2: around the forest where Copsity was being constructed. Now Flock

563
00:30:29,280 --> 00:30:32,480
Speaker 2: is all over the country, and Border Patrol has access

564
00:30:32,560 --> 00:30:35,080
Speaker 2: to the Flock system. Yeah, and it's used for a

565
00:30:35,080 --> 00:30:38,400
Speaker 2: whole bunch of other really dubious stuff, including in Texas.

566
00:30:38,520 --> 00:30:41,320
Speaker 2: I think four h four Media did a report not

567
00:30:41,400 --> 00:30:45,160
Speaker 2: too long ago about Texas sheriffs tracking a pregnant woman

568
00:30:45,400 --> 00:30:48,280
Speaker 2: getting an abortion not in Texas.

569
00:30:47,960 --> 00:30:50,959
Speaker 4: Right, Yeah, yeah, I can see. Yeah, Texas law makes

570
00:30:51,000 --> 00:30:52,800
Speaker 4: it a crime to leave the state in order to

571
00:30:52,840 --> 00:30:56,000
Speaker 4: get an abortion or something, right, and so that would

572
00:30:56,000 --> 00:30:59,600
Speaker 4: be the I guess their excuse here, But like I

573
00:30:59,600 --> 00:31:02,160
Speaker 4: think we can all see that that's a pretty pretty

574
00:31:02,200 --> 00:31:05,680
Speaker 4: disgusting use of the surveilance state. Yeah, these things grew

575
00:31:05,760 --> 00:31:08,400
Speaker 4: massively in the time period between twenty twenty and today,

576
00:31:09,320 --> 00:31:12,320
Speaker 4: and it was not just in Republican jurisdictions. Right, there's

577
00:31:12,360 --> 00:31:15,720
Speaker 4: this like unabated support for state surveillance that we saw

578
00:31:17,320 --> 00:31:20,720
Speaker 4: all over the United States is now being turned against

579
00:31:21,920 --> 00:31:25,160
Speaker 4: migrants and anybody who is suspected of helping them, which

580
00:31:25,200 --> 00:31:29,080
Speaker 4: is not great. Talking of not great, we have an

581
00:31:29,120 --> 00:31:31,920
Speaker 4: obligation to pivot to add I'm happy.

582
00:31:32,320 --> 00:31:35,720
Speaker 2: I think that's great. I love I love having a job.

583
00:31:36,560 --> 00:31:38,560
Speaker 4: I enjoyed to consume products and services.

584
00:31:38,680 --> 00:31:51,440
Speaker 6: That's right, and we're back.

585
00:31:52,480 --> 00:31:54,200
Speaker 3: How's everybody doing good?

586
00:31:54,520 --> 00:31:57,400
Speaker 2: Yeah? Banging, pretty good, pretty good. I just finished my

587
00:31:58,240 --> 00:32:02,960
Speaker 2: Asahi smoothie from the Hair Heritage Social twenty twenty four cup,

588
00:32:03,120 --> 00:32:04,080
Speaker 2: so I feel great.

589
00:32:04,240 --> 00:32:04,720
Speaker 6: That's great.

590
00:32:05,000 --> 00:32:06,360
Speaker 3: Yeah, that's good for you.

591
00:32:06,400 --> 00:32:09,600
Speaker 2: Garrison really coming together, you know, politics from different sides

592
00:32:09,640 --> 00:32:13,280
Speaker 2: coming together to enjoy a smoothie. Not unlike the meeting

593
00:32:13,360 --> 00:32:15,400
Speaker 2: between Zora Mum, Donnie and Donald Trump.

594
00:32:15,440 --> 00:32:18,880
Speaker 4: Oh my god, Oh how long did you plan that for?

595
00:32:19,080 --> 00:32:22,040
Speaker 2: Garrishon? Like literally five seconds? It just it just came out.

596
00:32:22,440 --> 00:32:24,840
Speaker 4: We don't do smooth transitions here like that.

597
00:32:24,960 --> 00:32:28,160
Speaker 2: Well, you know sometimes do you know who was smooth?

598
00:32:28,280 --> 00:32:31,920
Speaker 2: It was Zoramum Donnie during that meeting, which bit like

599
00:32:31,960 --> 00:32:33,920
Speaker 2: a duck's back, like a like a seal.

600
00:32:34,440 --> 00:32:35,440
Speaker 4: That kind of smoothness is.

601
00:32:35,640 --> 00:32:40,880
Speaker 2: Trump seemed pretty pretty enamored. Mister mum Donnie mayor elect

602
00:32:40,960 --> 00:32:43,880
Speaker 2: Mom Donnie. Quote, we have one thing in common. We

603
00:32:43,920 --> 00:32:47,400
Speaker 2: want this city of ours to do very well unquote.

604
00:32:47,840 --> 00:32:51,360
Speaker 2: So this was on Friday, Trump and Mum Donnie had

605
00:32:51,400 --> 00:32:55,840
Speaker 2: a private meeting in the White House. Afterwards a thirty

606
00:32:55,840 --> 00:32:58,560
Speaker 2: minute press conference in the Oval Office where Trump was

607
00:32:58,560 --> 00:33:01,240
Speaker 2: sitting down and soa was kind of looming over the

608
00:33:01,400 --> 00:33:05,760
Speaker 2: side of Trump the whole time, never fully smiling, always

609
00:33:05,760 --> 00:33:08,720
Speaker 2: having a little bit of like a a tiny like

610
00:33:08,840 --> 00:33:13,040
Speaker 2: both sided smirk, but not doing his traditional happy smile.

611
00:33:13,120 --> 00:33:16,120
Speaker 2: He had a very different look in the White House.

612
00:33:16,680 --> 00:33:18,800
Speaker 2: But as soon as the press conference started, it was

613
00:33:18,800 --> 00:33:23,120
Speaker 2: clear that the meeting went very well for Momdannie. Trump

614
00:33:23,280 --> 00:33:25,640
Speaker 2: was exuberant about the man.

615
00:33:25,840 --> 00:33:29,520
Speaker 3: Yeah, he seemed really excited. Yeah, it's a little weird,

616
00:33:29,560 --> 00:33:30,640
Speaker 3: but he seemed really excited.

617
00:33:30,680 --> 00:33:33,880
Speaker 2: He stated that they have common ground on getting housing built,

618
00:33:33,960 --> 00:33:37,160
Speaker 2: on affordability, on food and prices coming down saying, quote,

619
00:33:37,200 --> 00:33:39,160
Speaker 2: there's no difference in party, and we're going to be

620
00:33:39,280 --> 00:33:43,360
Speaker 2: helping him to make everybody's dream come true unquote.

621
00:33:43,440 --> 00:33:47,120
Speaker 4: Everybody's stream doctory amazing.

622
00:33:47,920 --> 00:33:51,440
Speaker 2: Yeah, First, I want to play Zoron's initial statement as

623
00:33:51,440 --> 00:33:54,240
Speaker 2: the press conference started on what they spoke about during

624
00:33:54,360 --> 00:33:55,000
Speaker 2: this meeting.

625
00:33:55,680 --> 00:33:58,760
Speaker 7: I appreciated the meeting with the President, and as he said,

626
00:33:58,760 --> 00:34:01,440
Speaker 7: it was a productive meeting forocused on the place of

627
00:34:01,840 --> 00:34:04,480
Speaker 7: shared admiration and love, which is New York City, and

628
00:34:04,520 --> 00:34:07,760
Speaker 7: the need to deliver affordability to New Yorkers, the eight

629
00:34:07,760 --> 00:34:10,399
Speaker 7: and a half million people who call our city their home,

630
00:34:10,440 --> 00:34:13,240
Speaker 7: who are struggling to afford life in the most expensive

631
00:34:13,239 --> 00:34:13,560
Speaker 7: city in the.

632
00:34:13,600 --> 00:34:14,680
Speaker 8: United States of America.

633
00:34:14,840 --> 00:34:18,280
Speaker 7: We spoke about we spoke about groceries, we spoke about utilities,

634
00:34:18,280 --> 00:34:20,400
Speaker 7: we spoke about the different ways in which people are

635
00:34:20,400 --> 00:34:22,920
Speaker 7: being pushed out. And I appreciated the time with the President.

636
00:34:22,920 --> 00:34:26,120
Speaker 7: I appreciated the conversation. I look forward to working together

637
00:34:26,160 --> 00:34:28,040
Speaker 7: to deliver that affordability for the orders.

638
00:34:28,719 --> 00:34:31,560
Speaker 4: It's one of the posture people with the green line.

639
00:34:31,680 --> 00:34:32,239
Speaker 4: The green line.

640
00:34:32,360 --> 00:34:34,480
Speaker 3: Yeah, no, I've seen yeah, that going on a couple

641
00:34:34,480 --> 00:34:34,880
Speaker 3: of times.

642
00:34:34,960 --> 00:34:36,600
Speaker 4: They've already they've had that way with it.

643
00:34:36,960 --> 00:34:37,520
Speaker 2: They've been on it.

644
00:34:37,600 --> 00:34:40,920
Speaker 3: Yeah, yeah, okay, it does seem tense. The vibes in

645
00:34:40,960 --> 00:34:42,680
Speaker 3: that room must have been very, very weird.

646
00:34:42,960 --> 00:34:47,520
Speaker 2: N Yeah, absolutely, yeah, yeah, no, Zorn's very tense. Trump's

647
00:34:47,560 --> 00:34:49,680
Speaker 2: trying to relax. Like bad late.

648
00:34:50,239 --> 00:34:53,439
Speaker 4: Face that you've posted on gas he is, I can.

649
00:34:53,400 --> 00:34:56,880
Speaker 3: Only it's like a shit eating grin on Trump's face. Yeah, yeah, yeah,

650
00:34:56,920 --> 00:35:01,800
Speaker 3: like he does seem genuinely half thrilled. Yeah, it's weird.

651
00:35:02,000 --> 00:35:03,960
Speaker 4: He likes to be associated with winners.

652
00:35:04,280 --> 00:35:06,200
Speaker 2: This is one of the big things, right A lot

653
00:35:06,200 --> 00:35:08,279
Speaker 2: of I mean, we'll talk about this more and that

654
00:35:08,440 --> 00:35:10,839
Speaker 2: takes okay at this, but but yeah, I think it's

655
00:35:10,920 --> 00:35:13,399
Speaker 2: very clear why Trump's actually having a good time here.

656
00:35:13,840 --> 00:35:17,160
Speaker 2: Zoron's like the most popular politician in the country right now,

657
00:35:17,520 --> 00:35:21,840
Speaker 2: and Trump likes winners. And if anything, Zoron has proven

658
00:35:21,880 --> 00:35:25,360
Speaker 2: to be an underdog that has an enormous capacity for winning,

659
00:35:25,880 --> 00:35:28,120
Speaker 2: and I think Trump does like that, and that, coupled

660
00:35:28,120 --> 00:35:30,360
Speaker 2: with a genuine love for New York, I think Zoron

661
00:35:30,440 --> 00:35:33,919
Speaker 2: was able to navigate around Trump pretty successfully. When asked

662
00:35:33,920 --> 00:35:37,160
Speaker 2: about Zoron being a communist, Trump said, quote, I feel

663
00:35:37,239 --> 00:35:39,239
Speaker 2: very confident he can do a good job I think

664
00:35:39,280 --> 00:35:42,719
Speaker 2: it's going to surprise some conservative people actually unquote, and.

665
00:35:43,360 --> 00:35:45,680
Speaker 3: You should add what he said about liberal people because

666
00:35:45,719 --> 00:35:47,480
Speaker 3: I thought that was his funniest line.

667
00:35:47,600 --> 00:35:50,120
Speaker 2: Oh then also liberal people, but they already like him

668
00:35:50,480 --> 00:35:51,080
Speaker 2: too or something.

669
00:35:51,239 --> 00:35:53,799
Speaker 3: Yeah, I don't think they'll be surprised, they'll just be yeah, yes,

670
00:35:53,920 --> 00:35:57,360
Speaker 3: they like him because they already like him. It was

671
00:35:57,520 --> 00:35:59,160
Speaker 3: very funny. It was very funny.

672
00:35:59,520 --> 00:36:03,960
Speaker 2: Trump's talked about how a lot of Trump voters actually

673
00:36:04,120 --> 00:36:07,640
Speaker 2: voted for Zoron as well, saying quote unquote, I'm okay

674
00:36:07,719 --> 00:36:11,160
Speaker 2: with that, And so I mentioned that, yes, one in

675
00:36:11,280 --> 00:36:14,719
Speaker 2: ten Trump voters in New York voted for Zoron, and

676
00:36:15,000 --> 00:36:17,799
Speaker 2: zor mentioned the end to forever wars and the cost

677
00:36:17,880 --> 00:36:21,560
Speaker 2: living crisis as the driving motivators that voters spoke about

678
00:36:21,840 --> 00:36:25,440
Speaker 2: as he was campaigning. Throughout this press conference, and we

679
00:36:25,440 --> 00:36:28,080
Speaker 2: can assume some degree of the meeting, Zoron was very

680
00:36:28,480 --> 00:36:31,799
Speaker 2: laser focused on New York specifically, And you've even seen

681
00:36:31,800 --> 00:36:34,480
Speaker 2: this in interviews that he's given to like NBC and

682
00:36:34,640 --> 00:36:36,839
Speaker 2: other outlets the past few days, where people are asking

683
00:36:36,920 --> 00:36:39,200
Speaker 2: him about, you know, the Democratic Party as a whole

684
00:36:39,239 --> 00:36:41,799
Speaker 2: and national level, and Zoron repeatedly just goes back to

685
00:36:41,840 --> 00:36:43,839
Speaker 2: affordability in New York. This is like the one thing

686
00:36:43,840 --> 00:36:45,520
Speaker 2: that he's going to keep talking about. He doesn't want

687
00:36:45,520 --> 00:36:48,400
Speaker 2: to talk about any anything else, really, And this was

688
00:36:48,400 --> 00:36:50,839
Speaker 2: evident throughout this meeting, the way that Zorn would would

689
00:36:50,880 --> 00:36:55,200
Speaker 2: reiterate every question to being about New York. But they

690
00:36:55,200 --> 00:36:59,239
Speaker 2: didn't shy away from talking about the things they disagreed

691
00:36:59,280 --> 00:37:02,319
Speaker 2: on on, like an ideaological sense, ICE being one of them.

692
00:37:02,480 --> 00:37:04,800
Speaker 2: Here's one of their exchanges about ICE.

693
00:37:05,320 --> 00:37:08,520
Speaker 5: Resident, you've threatened to send federal troops to New York City.

694
00:37:08,800 --> 00:37:11,640
Speaker 5: You both have differences when it comes to ICE agents

695
00:37:11,920 --> 00:37:15,000
Speaker 5: in New York City. Mister Mundanie, you've called ICE a

696
00:37:15,160 --> 00:37:19,080
Speaker 5: rogue government entity. I wonder how you reconcile your differences

697
00:37:19,320 --> 00:37:20,400
Speaker 5: on both of those issues.

698
00:37:20,520 --> 00:37:21,719
Speaker 8: I think you're going to work them out.

699
00:37:21,880 --> 00:37:26,200
Speaker 9: And I think that if we have known murderers and

700
00:37:26,360 --> 00:37:29,839
Speaker 9: known drug dealers and some very bad people, you know,

701
00:37:29,960 --> 00:37:31,800
Speaker 9: we want to get them out, and the mayor ones

702
00:37:31,920 --> 00:37:35,040
Speaker 9: have we discussed there is a great length actually, maybe

703
00:37:35,040 --> 00:37:37,719
Speaker 9: more than anything else, he wants to have a safe

704
00:37:37,760 --> 00:37:40,440
Speaker 9: New York. Ultimately, a safe New York is going to

705
00:37:40,440 --> 00:37:42,279
Speaker 9: be a great New York. If it's not safe, no.

706
00:37:42,200 --> 00:37:46,000
Speaker 8: Matter how well we do with pricing and with anything else.

707
00:37:46,040 --> 00:37:47,680
Speaker 8: We can talk about anything you want.

708
00:37:47,719 --> 00:37:50,320
Speaker 9: If you don't have safe streets, it's not going to

709
00:37:50,360 --> 00:37:50,960
Speaker 9: be a success.

710
00:37:51,000 --> 00:37:52,320
Speaker 8: So we're going to work together.

711
00:37:52,400 --> 00:37:55,040
Speaker 9: We're going to make sure that if they're horrible people,

712
00:37:55,360 --> 00:37:56,719
Speaker 9: we want to get him out. I think he wants

713
00:37:56,719 --> 00:37:58,840
Speaker 9: to get him out, maybe more than I do, so

714
00:37:59,200 --> 00:37:59,880
Speaker 9: we'll work together.

715
00:38:00,520 --> 00:38:04,120
Speaker 2: They talked about ICE at one later point in the meeting,

716
00:38:04,200 --> 00:38:06,239
Speaker 2: where you get kind of a peak at what some

717
00:38:06,280 --> 00:38:09,560
Speaker 2: of this conversation may have been like behind the scenes,

718
00:38:10,360 --> 00:38:15,080
Speaker 2: about trying to target any ICE enforcement against people who

719
00:38:15,120 --> 00:38:19,239
Speaker 2: have criminal records rather than these roving raids that round

720
00:38:19,320 --> 00:38:22,320
Speaker 2: up but just swaths of undocumented people like the Canal

721
00:38:22,400 --> 00:38:27,320
Speaker 2: Street raid a few weeks ago. It's still not super

722
00:38:27,360 --> 00:38:30,960
Speaker 2: clear what they are talking about, but there's not compromise

723
00:38:31,160 --> 00:38:34,360
Speaker 2: in this point. Like Trump's obviously going to try to

724
00:38:34,360 --> 00:38:36,560
Speaker 2: frame this in a way that strengthens Trump's own positions

725
00:38:36,600 --> 00:38:38,360
Speaker 2: on this, and I think Zoron will do the same.

726
00:38:38,480 --> 00:38:40,560
Speaker 2: Before we discuss I don't want to play this the

727
00:38:41,040 --> 00:38:44,000
Speaker 2: second bit of their discussion, because you get more of

728
00:38:44,239 --> 00:38:45,880
Speaker 2: Zoron's angle.

729
00:38:46,760 --> 00:38:51,000
Speaker 7: We discussed ICE and New York City, and I spoke

730
00:38:51,040 --> 00:38:52,520
Speaker 7: about how the laws that we have in New York

731
00:38:52,560 --> 00:38:55,560
Speaker 7: City allow for New York City government to speak to

732
00:38:55,600 --> 00:38:58,640
Speaker 7: the federal administration for about one hundred and seventy serious crimes,

733
00:38:58,880 --> 00:39:01,880
Speaker 7: the concerns that many New Yorkers have around the enforcement

734
00:39:02,160 --> 00:39:06,120
Speaker 7: of immigration laws on New Yorkers across the Five boroughs,

735
00:39:06,120 --> 00:39:08,360
Speaker 7: and most recently, we're talking about a mother and her

736
00:39:08,400 --> 00:39:11,080
Speaker 7: two children. How this has very little to do with

737
00:39:11,080 --> 00:39:13,160
Speaker 7: what that is.

738
00:39:13,280 --> 00:39:16,560
Speaker 8: Is we discuss crime more than ice per se.

739
00:39:16,680 --> 00:39:19,239
Speaker 9: We discuss crime, and he doesn't want to see crime,

740
00:39:19,400 --> 00:39:22,040
Speaker 9: and I don't want to see crime, and I have

741
00:39:22,680 --> 00:39:24,399
Speaker 9: very little doubt that we're not going to get along

742
00:39:24,440 --> 00:39:27,080
Speaker 9: on that issue. He wants to and he said some

743
00:39:27,120 --> 00:39:30,759
Speaker 9: things that were very interesting, very interesting as to housing construction,

744
00:39:30,880 --> 00:39:33,600
Speaker 9: and he wants to see houses go up. He wants

745
00:39:33,640 --> 00:39:35,520
Speaker 9: to see a lot of houses created, a lot of

746
00:39:35,880 --> 00:39:40,760
Speaker 9: apartments built, et cetera. And you know, we actually people

747
00:39:40,760 --> 00:39:43,319
Speaker 9: would be shocked. But I want to see the same thing.

748
00:39:43,840 --> 00:39:44,200
Speaker 8: See that.

749
00:39:44,280 --> 00:39:45,600
Speaker 3: Yeah, that worries me a little bit.

750
00:39:45,840 --> 00:39:46,799
Speaker 2: What about that worries you?

751
00:39:47,280 --> 00:39:48,680
Speaker 4: I can tell what Trump's.

752
00:39:48,280 --> 00:39:51,080
Speaker 3: Trying to do, which is that he really would like

753
00:39:51,160 --> 00:39:54,640
Speaker 3: to get Mom Donnie on his side and he's interestingly

754
00:39:54,640 --> 00:39:56,719
Speaker 3: for Trump, I think he is willing to move on

755
00:39:56,760 --> 00:40:00,640
Speaker 3: some things if he can fundamentally get Mom Donnie who

756
00:40:00,680 --> 00:40:03,839
Speaker 3: agree that ice has a use. Yeah, right, Like that's

757
00:40:03,880 --> 00:40:05,879
Speaker 3: what he's clearly trying to do, and he's clearly trying

758
00:40:05,880 --> 00:40:09,200
Speaker 3: to portray it as we've already agreed on that. And

759
00:40:09,760 --> 00:40:13,479
Speaker 3: I think that within the context of this meeting, because

760
00:40:13,520 --> 00:40:15,640
Speaker 3: of how the questions were being asked, I don't think

761
00:40:15,719 --> 00:40:19,240
Speaker 3: Zorn got enough of a chance to fully address that question.

762
00:40:19,960 --> 00:40:23,239
Speaker 3: So I'll leave it open to see how that is,

763
00:40:23,440 --> 00:40:25,440
Speaker 3: like like how he deals with that in the future,

764
00:40:25,840 --> 00:40:27,759
Speaker 3: But I don't think he got enough of an opportunity

765
00:40:27,800 --> 00:40:29,720
Speaker 3: to push back enough on some of the things Trump

766
00:40:29,760 --> 00:40:32,440
Speaker 3: was claiming here. That does concern me a little bit,

767
00:40:32,480 --> 00:40:35,680
Speaker 3: Like I think it's more a factor of how an

768
00:40:35,680 --> 00:40:40,000
Speaker 3: Oval Office press conference is structured. But I do think

769
00:40:40,000 --> 00:40:42,440
Speaker 3: that it's like I can see what Trump's trying to

770
00:40:42,480 --> 00:40:43,040
Speaker 3: do well.

771
00:40:43,040 --> 00:40:45,799
Speaker 2: I think what Mum Donnie is trying to navigate for

772
00:40:45,960 --> 00:40:49,799
Speaker 2: is if he can put an end to roving ice

773
00:40:49,880 --> 00:40:53,839
Speaker 2: rates that just like that just round up people at

774
00:40:53,920 --> 00:40:56,359
Speaker 2: whether they're at restaurants or from depots, and if there's

775
00:40:56,640 --> 00:41:00,000
Speaker 2: people who are who have been incarcerated who are incarcerated,

776
00:41:00,040 --> 00:41:06,120
Speaker 2: and if removal operations are specifically against except like what

777
00:41:06,120 --> 00:41:09,719
Speaker 2: one hundred and seventy like serious crimes, and if that

778
00:41:09,920 --> 00:41:12,759
Speaker 2: is a sort of compromise, I guess I don't know,

779
00:41:12,800 --> 00:41:15,239
Speaker 2: Like he's not an office. Yes, it's it's unclear the

780
00:41:15,239 --> 00:41:18,279
Speaker 2: way that this would this would be enacted. Yeah, but

781
00:41:18,360 --> 00:41:22,200
Speaker 2: if it's an harm reduction measure of stopping ICE raids

782
00:41:22,239 --> 00:41:25,879
Speaker 2: from happening or limiting the amount that ICE is able

783
00:41:25,920 --> 00:41:29,320
Speaker 2: to operate as as basically a rodenty within the city,

784
00:41:30,040 --> 00:41:32,760
Speaker 2: And I don't think we know enough to like actually

785
00:41:32,960 --> 00:41:35,640
Speaker 2: see what that will look like yet, because he's not

786
00:41:35,719 --> 00:41:38,120
Speaker 2: taking office for another what like forty five days.

787
00:41:38,440 --> 00:41:42,479
Speaker 4: Yeah, Yeah, what he's talking about when Trump goes about crime,

788
00:41:42,880 --> 00:41:45,680
Speaker 4: crime is what they have always talked about, right, right,

789
00:41:45,760 --> 00:41:49,160
Speaker 4: When when they talk about the ICE enforcement, the crimes

790
00:41:49,239 --> 00:41:52,520
Speaker 4: that they are speaking about, very right, they will always

791
00:41:52,920 --> 00:41:55,239
Speaker 4: give the example of the person who's been convicted of

792
00:41:55,400 --> 00:41:58,799
Speaker 4: child abuse, of murder, of domestic violence. Right, But then

793
00:41:58,840 --> 00:42:01,720
Speaker 4: they will also go ahead and say the crossing between

794
00:42:01,719 --> 00:42:04,799
Speaker 4: ports of entry can be prosecuted as a crime, and

795
00:42:04,840 --> 00:42:07,840
Speaker 4: then they will use that as a justification for taking

796
00:42:07,880 --> 00:42:10,160
Speaker 4: anyone right and specifically people who have entered within the

797
00:42:10,280 --> 00:42:12,680
Speaker 4: last two years, many of whom were shipped to New

798
00:42:12,760 --> 00:42:15,879
Speaker 4: York from other states, and saying, well, these people entered

799
00:42:15,920 --> 00:42:18,080
Speaker 4: between ports of entry, which they did after the end

800
00:42:18,080 --> 00:42:20,480
Speaker 4: of Title forty two, right when we returned to processing

801
00:42:20,480 --> 00:42:22,640
Speaker 4: people under Title eight. And they will place him in

802
00:42:22,680 --> 00:42:25,839
Speaker 4: actibility to remove all proceedings like that, that is what

803
00:42:25,880 --> 00:42:29,640
Speaker 4: they have been doing for a while. When he talks

804
00:42:29,880 --> 00:42:35,800
Speaker 4: about the sanctuary policies, New York right now doesn't honor

805
00:42:35,880 --> 00:42:40,359
Speaker 4: detainer requests right in theory, sanctuary laws prevent and y see,

806
00:42:40,400 --> 00:42:42,479
Speaker 4: from what I understand, from honoring detainer requests, which would

807
00:42:42,480 --> 00:42:45,520
Speaker 4: be an extra forty eight hour detainer. We haven't, like,

808
00:42:45,560 --> 00:42:47,799
Speaker 4: as Robber said, we haven't really seen enough to see

809
00:42:48,040 --> 00:42:50,399
Speaker 4: see what he's talking about there. But like, I don't

810
00:42:50,440 --> 00:42:52,520
Speaker 4: know if he's talking about a change to those sanctuary

811
00:42:52,560 --> 00:42:55,560
Speaker 4: policies or not. But yeah, like that that would be

812
00:42:55,560 --> 00:42:56,400
Speaker 4: disappointing if you did.

813
00:42:56,400 --> 00:42:58,600
Speaker 2: I obviously there's any indication that he's talking about a

814
00:42:58,719 --> 00:43:00,000
Speaker 2: change to sanctuary policy.

815
00:43:00,560 --> 00:43:02,520
Speaker 4: Well, when he's talking about we can cull them on

816
00:43:02,520 --> 00:43:07,120
Speaker 4: one hundred and seventy serious crimes, right, what does he need?

817
00:43:07,719 --> 00:43:09,640
Speaker 3: Yeah? And I think This gets back to the fact

818
00:43:09,680 --> 00:43:12,040
Speaker 3: that a press conference in the Oval Office is not

819
00:43:12,080 --> 00:43:15,200
Speaker 3: going to give you a chance to adequately address an

820
00:43:15,239 --> 00:43:18,160
Speaker 3: issue like this, and I see Trump trying to paper

821
00:43:18,239 --> 00:43:21,040
Speaker 3: over it and move past as quickly as possible. Yeah,

822
00:43:21,080 --> 00:43:24,640
Speaker 3: and I understand why you'd show up for this meeting,

823
00:43:25,360 --> 00:43:27,279
Speaker 3: and I think it was probably, on the balance, the

824
00:43:27,360 --> 00:43:30,520
Speaker 3: right thing to do. But like, I am interested to

825
00:43:30,560 --> 00:43:32,960
Speaker 3: see what he does next, because I think Trump is

826
00:43:33,000 --> 00:43:36,560
Speaker 3: going to continue trying to push for accommodations. And it

827
00:43:36,680 --> 00:43:39,480
Speaker 3: is kind of it is wild and unique to see

828
00:43:39,480 --> 00:43:41,960
Speaker 3: that he seems to be willing to move on some stuff.

829
00:43:42,360 --> 00:43:44,279
Speaker 3: But he's willing to move on some stuff because he

830
00:43:44,280 --> 00:43:46,960
Speaker 3: thinks he can get Mom Donnie to soften some of

831
00:43:47,000 --> 00:43:48,080
Speaker 3: his stances.

832
00:43:47,719 --> 00:43:49,880
Speaker 2: I mean stances on what I mean. I mean, I

833
00:43:49,920 --> 00:43:50,840
Speaker 2: don't on ice.

834
00:43:51,040 --> 00:43:54,040
Speaker 3: I mean, that's what he's trying to do here. He's

835
00:43:54,080 --> 00:43:55,799
Speaker 3: trying to build a case for that.

836
00:43:56,560 --> 00:43:58,360
Speaker 2: I mean, I guess I don't know the degree to

837
00:43:58,400 --> 00:43:59,800
Speaker 2: which we're using.

838
00:44:00,000 --> 00:44:02,200
Speaker 3: Saying that this is a rogue government agency to saying

839
00:44:02,239 --> 00:44:05,279
Speaker 3: that this is a government agent. That's what Trump is

840
00:44:05,280 --> 00:44:08,040
Speaker 3: trying to push for. Yeah, I'm not saying Mom Donnie

841
00:44:08,160 --> 00:44:10,759
Speaker 3: agreed with that. I think that the nature of this

842
00:44:10,840 --> 00:44:12,759
Speaker 3: meeting did not give him enough time to push back

843
00:44:12,800 --> 00:44:13,000
Speaker 3: on that.

844
00:44:14,000 --> 00:44:17,520
Speaker 2: Sure, sure you have Mum Donnie pointing there towards like

845
00:44:17,560 --> 00:44:19,400
Speaker 2: an instance of like, you know, a mother and like

846
00:44:19,400 --> 00:44:24,120
Speaker 2: a child getting affected by this and like and using

847
00:44:24,120 --> 00:44:26,440
Speaker 2: it as an example of like what they are trying

848
00:44:26,520 --> 00:44:31,880
Speaker 2: to prevent and like focusing on like the stopping ice

849
00:44:31,960 --> 00:44:35,040
Speaker 2: rates from happening, as as like the thing that Mam

850
00:44:35,040 --> 00:44:38,480
Speaker 2: Donnie is pushing for there and Mam Donnie as New

851
00:44:38,520 --> 00:44:41,959
Speaker 2: York City mayor cannot abolish the entity of ice, and

852
00:44:42,080 --> 00:44:44,080
Speaker 2: so like the degree in which we're framed that as

853
00:44:44,120 --> 00:44:47,640
Speaker 2: like Mom Donnie's like softening, I think still, I mean yeah, like,

854
00:44:47,680 --> 00:44:50,200
Speaker 2: as you've said, there's not enough here to make a

855
00:44:50,239 --> 00:44:51,040
Speaker 2: full determination.

856
00:44:51,440 --> 00:44:51,960
Speaker 4: Yeah.

857
00:44:52,040 --> 00:44:54,439
Speaker 3: I just think that's that's what Trump wants to get

858
00:44:54,440 --> 00:44:54,880
Speaker 3: out of this.

859
00:44:55,000 --> 00:44:57,560
Speaker 4: I think trumple just wants to be associated with this

860
00:44:57,600 --> 00:45:00,319
Speaker 4: guy who is currently, as Garrison said, very popular.

861
00:45:00,520 --> 00:45:03,040
Speaker 3: And it is really wild to see him be so

862
00:45:03,160 --> 00:45:04,440
Speaker 3: deferential to somebody.

863
00:45:04,680 --> 00:45:07,440
Speaker 2: Yeah, yeah, yeah, I mean including in this this this

864
00:45:07,560 --> 00:45:11,120
Speaker 2: question about Trump being a fascist, which he handled in

865
00:45:11,160 --> 00:45:13,359
Speaker 2: a very uh, very fascinating way.

866
00:45:14,320 --> 00:45:15,360
Speaker 3: This is nuts.

867
00:45:15,719 --> 00:45:16,319
Speaker 4: Yeah.

868
00:45:16,840 --> 00:45:19,800
Speaker 1: Are you affirming that you think President Trump is a fascist.

869
00:45:20,080 --> 00:45:21,319
Speaker 7: I've spoken about.

870
00:45:21,360 --> 00:45:24,480
Speaker 8: Okay, okay, it's easier.

871
00:45:24,920 --> 00:45:32,359
Speaker 2: It's easier than explaining it, or did say yes during

872
00:45:32,400 --> 00:45:35,600
Speaker 2: that exchange he did? He did not, He in fact did.

873
00:45:35,880 --> 00:45:39,000
Speaker 3: Yeah, he absolutely did. It's one of the most remarkable

874
00:45:39,040 --> 00:45:41,879
Speaker 3: moments in American political history. Yeah, if I had any

875
00:45:41,920 --> 00:45:43,600
Speaker 3: stretch of the imagination.

876
00:45:43,640 --> 00:45:46,880
Speaker 2: As Trump pats on the side, and I mean, it's

877
00:45:47,040 --> 00:45:49,760
Speaker 2: it's it's wild for Trump. This word doesn't mean anything

878
00:45:49,840 --> 00:45:52,359
Speaker 2: right for for Trump, like him saying it's easier than

879
00:45:52,400 --> 00:45:55,200
Speaker 2: explaining that's just indicating to zort On that you don't

880
00:45:55,200 --> 00:45:57,200
Speaker 2: have to do this like little like political game for

881
00:45:57,360 --> 00:45:59,640
Speaker 2: this reporter and be like, you know, we have we

882
00:45:59,680 --> 00:46:02,319
Speaker 2: have just we've disagreed on policies, which blah blah blah.

883
00:46:02,360 --> 00:46:04,120
Speaker 2: Like Trump's like, no, you don't have to do that.

884
00:46:04,160 --> 00:46:07,160
Speaker 2: It's easier and explaining just say it yeah yeah, which

885
00:46:07,160 --> 00:46:09,880
Speaker 2: is a sort of like a point like against like

886
00:46:09,920 --> 00:46:12,239
Speaker 2: the media. That's from Trump's point of view, it's like

887
00:46:12,520 --> 00:46:14,920
Speaker 2: you don't have to do you don't have to do

888
00:46:14,960 --> 00:46:16,960
Speaker 2: like the little dance for like this like New York

889
00:46:16,960 --> 00:46:19,280
Speaker 2: Post reporter or whatever. Just say that I'm a fascist.

890
00:46:19,320 --> 00:46:19,760
Speaker 2: It's fine.

891
00:46:20,080 --> 00:46:22,360
Speaker 4: Yeah, And because politics is for him a sort of

892
00:46:22,400 --> 00:46:26,279
Speaker 4: behind closed doors boys club. And they, yes, they both

893
00:46:26,320 --> 00:46:28,480
Speaker 4: have to go out and then deal with the media.

894
00:46:28,680 --> 00:46:30,320
Speaker 4: But like you can sort of see that in this

895
00:46:30,440 --> 00:46:33,719
Speaker 4: sort of highly viviality that Trump goes for there. I'm

896
00:46:33,719 --> 00:46:36,000
Speaker 4: not saying that ma'm Damie is less necessarily in his

897
00:46:36,080 --> 00:46:37,680
Speaker 4: boys club. I'm just saying that that that is how

898
00:46:37,719 --> 00:46:39,000
Speaker 4: Trump perceives politics.

899
00:46:39,280 --> 00:46:41,600
Speaker 2: Yeah, I mean he made other references like when when

900
00:46:41,800 --> 00:46:45,320
Speaker 2: Trump was asked if he considers or on a g hottist,

901
00:46:45,560 --> 00:46:49,239
Speaker 2: like someone else in the Republican Party called him, and

902
00:46:49,239 --> 00:46:50,719
Speaker 2: Trump's like, no, I mean, the man's sitting in front

903
00:46:50,719 --> 00:46:52,000
Speaker 2: of me is not a the hottest. People have to

904
00:46:52,040 --> 00:46:55,040
Speaker 2: say certain things during campaigns, but the man I met

905
00:46:55,080 --> 00:46:57,600
Speaker 2: was today. It's a very rational man. And like little

906
00:46:57,600 --> 00:47:00,480
Speaker 2: lines like that, like people, Yeah, when you're paining, you

907
00:47:00,480 --> 00:47:02,319
Speaker 2: have to say things that I think that he's getting

908
00:47:02,320 --> 00:47:04,320
Speaker 2: at a similar point there. But there was multipoints for

909
00:47:04,440 --> 00:47:07,879
Speaker 2: this press conference where Trump defended Mamdani against like other

910
00:47:07,920 --> 00:47:13,239
Speaker 2: aggressive questions about his focus on international law versus the Constitution,

911
00:47:13,840 --> 00:47:16,600
Speaker 2: or why Zoron flew to DC instead of taking a

912
00:47:16,640 --> 00:47:20,799
Speaker 2: greener train. Yeah, silly, silly stuff. And Trump was like

913
00:47:21,200 --> 00:47:24,040
Speaker 2: Trump like dismissed these questions if like for Zar, essentially,

914
00:47:24,040 --> 00:47:25,239
Speaker 2: I mean like, I'll stand up for you.

915
00:47:25,440 --> 00:47:27,520
Speaker 3: Yeah, it's it's something else.

916
00:47:28,400 --> 00:47:31,880
Speaker 4: There are more salient criticisms, and there were reasonable criticisms

917
00:47:31,920 --> 00:47:34,440
Speaker 4: you can make of some stuff he's done. Those are

918
00:47:34,480 --> 00:47:34,920
Speaker 4: the event.

919
00:47:35,560 --> 00:47:38,640
Speaker 3: Yeah, it's just gotcha media stuff, right, like which which

920
00:47:39,400 --> 00:47:42,600
Speaker 3: it's interesting how well Trump is able to call sort

921
00:47:42,640 --> 00:47:46,160
Speaker 3: of their bullshit. Yeah, always fascinating.

922
00:47:46,760 --> 00:47:50,280
Speaker 2: One of the more hilarious attempts at a gotcha question

923
00:47:50,440 --> 00:47:54,840
Speaker 2: is from Jack Pasovic, who was in the room, who asked.

924
00:47:54,640 --> 00:47:59,080
Speaker 4: This, God, he must have been having an absolute melt down.

925
00:47:59,320 --> 00:48:02,160
Speaker 3: Yeah, he can't be happy about this, okay.

926
00:48:03,200 --> 00:48:03,680
Speaker 8: I wanted to know.

927
00:48:03,840 --> 00:48:07,920
Speaker 10: One of the policies as well that Mayor, like Madomie

928
00:48:07,960 --> 00:48:10,000
Speaker 10: talked to a number of times about on the campaign,

929
00:48:10,440 --> 00:48:13,960
Speaker 10: was shifting the tax burden for property taxes from what

930
00:48:14,040 --> 00:48:18,920
Speaker 10: he called minority communities to white based communities.

931
00:48:18,280 --> 00:48:20,320
Speaker 8: And putting more taxes on white people.

932
00:48:20,320 --> 00:48:22,759
Speaker 10: I also noticed that in your acceptance speech you didn't

933
00:48:22,840 --> 00:48:25,600
Speaker 10: mention didn't mention anything.

934
00:48:25,239 --> 00:48:27,880
Speaker 9: About America or Christians or white.

935
00:48:27,600 --> 00:48:29,719
Speaker 10: People in general, and so I didn't know if that

936
00:48:29,800 --> 00:48:31,840
Speaker 10: was one of the policies that you guys had spoken

937
00:48:31,840 --> 00:48:33,960
Speaker 10: about incredible.

938
00:48:35,000 --> 00:48:38,480
Speaker 2: Yeah, and Trump's like smiling, like like a proud of

939
00:48:38,520 --> 00:48:43,319
Speaker 2: father this whole time. Ass like weird question. It's such

940
00:48:43,320 --> 00:48:47,879
Speaker 2: an odds like schizophrenic moment. It's it's weird.

941
00:48:47,960 --> 00:48:50,120
Speaker 3: How much more he seems to like Zoran than like

942
00:48:50,360 --> 00:48:51,239
Speaker 3: his supporters.

943
00:48:51,800 --> 00:48:53,839
Speaker 2: Oh yeah, I mean a lot of his supporters are

944
00:48:53,960 --> 00:48:55,520
Speaker 2: losers and Zoron's a winner.

945
00:48:55,600 --> 00:48:57,400
Speaker 4: From his cabinet members, Yeah.

946
00:48:57,280 --> 00:49:00,000
Speaker 2: Because they're losers like Pete Haig, saith Elon Musk, they're losing.

947
00:49:00,080 --> 00:49:00,880
Speaker 3: Yeah, they're all dweebs.

948
00:49:00,960 --> 00:49:02,239
Speaker 4: I think JD. Van's right.

949
00:49:02,320 --> 00:49:05,960
Speaker 2: Yeah, Zorn's has proved himself to be like an incredibly

950
00:49:06,000 --> 00:49:09,920
Speaker 2: capable figure. There's a little moment as Jack's first asking

951
00:49:09,960 --> 00:49:13,400
Speaker 2: the question where Trump indicates to Zora, like, Okay, you

952
00:49:13,400 --> 00:49:16,279
Speaker 2: you handle this guy. You can have fun with this. Yeah,

953
00:49:16,400 --> 00:49:19,120
Speaker 2: and it's it's it's very odd and not odd and

954
00:49:19,160 --> 00:49:22,200
Speaker 2: it's unexplainable. I understand what's happening here. Actually I think

955
00:49:22,200 --> 00:49:24,520
Speaker 2: this is actually very easy to understand. But it's just

956
00:49:24,560 --> 00:49:26,120
Speaker 2: still it feels odd.

957
00:49:26,600 --> 00:49:30,000
Speaker 4: Yeah, yeah, and just give him the adversarial politics were

958
00:49:30,040 --> 00:49:30,600
Speaker 4: so used to.

959
00:49:31,080 --> 00:49:32,879
Speaker 2: Like there's a lot of moments like this, like when

960
00:49:32,960 --> 00:49:35,360
Speaker 2: when Trump's asked if he's gonna cut off federal funding

961
00:49:35,360 --> 00:49:37,640
Speaker 2: to New York. He says, quote, I don't think that's

962
00:49:37,640 --> 00:49:40,319
Speaker 2: going to happen. I think we're gonna help. And this

963
00:49:40,360 --> 00:49:42,399
Speaker 2: is like an indication of like what Zora was trying

964
00:49:42,400 --> 00:49:44,360
Speaker 2: to do in terms of harm reduction in this meeting,

965
00:49:44,840 --> 00:49:49,080
Speaker 2: specifically around raids on National Guard deployment and on like

966
00:49:49,200 --> 00:49:52,040
Speaker 2: cutting off federal funds to the city. One of the

967
00:49:52,120 --> 00:49:55,360
Speaker 2: methods I think that Zoran used to help get Trump

968
00:49:55,400 --> 00:49:58,600
Speaker 2: on his side is an appeal to like the real

969
00:49:58,760 --> 00:50:03,080
Speaker 2: estate brain that Trump has with mom Donnie's like left

970
00:50:03,080 --> 00:50:06,759
Speaker 2: wing yimby style of policies, talking about rent coming down

971
00:50:06,800 --> 00:50:09,759
Speaker 2: by building housing and how much that surprised Trump because

972
00:50:09,760 --> 00:50:12,400
Speaker 2: Trump has this conception of people, like of people usually

973
00:50:12,440 --> 00:50:16,280
Speaker 2: on these like left wing positions are very very nimby

974
00:50:16,320 --> 00:50:18,360
Speaker 2: in a lot of ways, and Trump was like surprised

975
00:50:18,360 --> 00:50:20,040
Speaker 2: by this. I guess he hasn't really encountered like a

976
00:50:20,120 --> 00:50:23,160
Speaker 2: left wing yimby before. And it's like it's like this

977
00:50:23,280 --> 00:50:26,000
Speaker 2: like caught him off guard. Yeah, there's a good point

978
00:50:26,160 --> 00:50:28,960
Speaker 2: here where Trump expresses this.

979
00:50:29,719 --> 00:50:31,600
Speaker 8: Now we may disagree how we get there.

980
00:50:31,719 --> 00:50:34,959
Speaker 9: The rent coming down, I think one of the things

981
00:50:34,960 --> 00:50:39,120
Speaker 9: that really gleaned very very much. Today, he'd like to

982
00:50:39,120 --> 00:50:41,319
Speaker 9: see him come down, ideally by building a lot of

983
00:50:41,440 --> 00:50:42,520
Speaker 9: additional housing here.

984
00:50:42,760 --> 00:50:44,960
Speaker 8: That's the ultimate way. He agrees with that, and so

985
00:50:45,040 --> 00:50:48,640
Speaker 8: do I. But if I read the newspapers, in the stories,

986
00:50:48,680 --> 00:50:50,160
Speaker 8: I don't hear I don't hear that.

987
00:50:50,880 --> 00:50:52,839
Speaker 9: But I heard him say it today, and I think

988
00:50:52,840 --> 00:50:56,080
Speaker 9: that's a very positive step. No, I don't expect. I

989
00:50:56,160 --> 00:50:58,759
Speaker 9: expect to be helping him, not hurting him. A big

990
00:50:58,840 --> 00:51:02,799
Speaker 9: help because I want New York City to be great. Look,

991
00:51:02,920 --> 00:51:04,879
Speaker 9: I love New York City. It's where I come from.

992
00:51:04,960 --> 00:51:07,520
Speaker 9: I spent a lot of years there. Now I'm right.

993
00:51:07,360 --> 00:51:10,560
Speaker 4: Here, am ray Okay.

994
00:51:10,640 --> 00:51:13,399
Speaker 2: And later Trump clarified that he would feel comfortable living

995
00:51:13,680 --> 00:51:16,680
Speaker 2: in New York under Mam Donnie and compared Mam Donnie's

996
00:51:16,680 --> 00:51:19,680
Speaker 2: popularity to that of Bernie Sanders, as well as how

997
00:51:20,200 --> 00:51:23,440
Speaker 2: supporters of Bernie moved over to Trump and then vice versa.

998
00:51:23,760 --> 00:51:26,000
Speaker 2: And through Trump talking about this, you can start to

999
00:51:26,120 --> 00:51:29,200
Speaker 2: kind of peak behind the current of like how Zorn

1000
00:51:29,320 --> 00:51:32,640
Speaker 2: was framing his version of populism, which was able to

1001
00:51:33,200 --> 00:51:36,719
Speaker 2: get Trump to be like friendly towards like the economic

1002
00:51:37,000 --> 00:51:42,320
Speaker 2: affordability sides of his policy proposals in talking about like

1003
00:51:42,360 --> 00:51:44,840
Speaker 2: the crossover of support between Bernie and Trump and twenty

1004
00:51:44,840 --> 00:51:48,680
Speaker 2: sixteen and the crossover support between Trump twenty four and

1005
00:51:48,840 --> 00:51:51,319
Speaker 2: ma'm donnie in twenty twenty five. At one point, Mam

1006
00:51:51,320 --> 00:51:53,600
Speaker 2: Donnie did also address the genocide in Gaza.

1007
00:51:53,960 --> 00:51:57,080
Speaker 11: Ask mister mamm donnie, you've accused the US government of

1008
00:51:57,120 --> 00:52:00,480
Speaker 11: committing genocide and Gaza. Why President Trump was working on peace?

1009
00:52:01,040 --> 00:52:05,040
Speaker 7: Why that I've spoken about the Israeli government committing genocide,

1010
00:52:05,040 --> 00:52:08,000
Speaker 7: and I've spoken about our government funding it. And I

1011
00:52:08,040 --> 00:52:10,560
Speaker 7: shared with the President in our meeting about the concern

1012
00:52:10,640 --> 00:52:12,840
Speaker 7: that many New Yorkers have of wanting their tax dollars

1013
00:52:13,080 --> 00:52:15,560
Speaker 7: to go towards the benefit of New Yorkers and their

1014
00:52:15,600 --> 00:52:18,560
Speaker 7: ability to afford basic dignity. And what we see right

1015
00:52:18,600 --> 00:52:21,040
Speaker 7: now is we're in the ninth consecutive year of more

1016
00:52:21,080 --> 00:52:23,800
Speaker 7: than one hundred thousand school children being homeless in our city,

1017
00:52:23,960 --> 00:52:26,320
Speaker 7: and there's a desperate need not only for the following

1018
00:52:26,360 --> 00:52:29,440
Speaker 7: of human rights, but also the following through on the

1019
00:52:29,440 --> 00:52:31,600
Speaker 7: promises we've made New Yorkers. And I appreciated the meeting

1020
00:52:31,640 --> 00:52:33,520
Speaker 7: we had and the work that we can do.

1021
00:52:33,760 --> 00:52:35,920
Speaker 11: I agree that President Trump didn't do a piece and

1022
00:52:36,120 --> 00:52:38,480
Speaker 11: work hard to make the peace, because we were hard

1023
00:52:38,520 --> 00:52:40,480
Speaker 11: to do with the peace in the Midate East and everywhere.

1024
00:52:40,600 --> 00:52:42,120
Speaker 11: What do you agree with that?

1025
00:52:42,280 --> 00:52:44,759
Speaker 7: I appreciate all efforts towards peace, and I shared with

1026
00:52:44,800 --> 00:52:46,960
Speaker 7: President Trump that when I spoke to Trump voters on

1027
00:52:47,040 --> 00:52:49,840
Speaker 7: Hillside Avenue, including one of whom was a pharmacist, that

1028
00:52:49,960 --> 00:52:52,279
Speaker 7: spoke about how President Trump's father actually went to that

1029
00:52:52,320 --> 00:52:55,120
Speaker 7: pharmacy not too far from Jamaica, states that people were

1030
00:52:55,160 --> 00:52:57,759
Speaker 7: tired of seeing our tax dollars fund endless wars. And

1031
00:52:57,800 --> 00:53:00,400
Speaker 7: I also believe that we have to follow through on

1032
00:53:01,080 --> 00:53:03,760
Speaker 7: the international human rights and I know that still today

1033
00:53:03,880 --> 00:53:06,000
Speaker 7: those are being violated and that continues to be work

1034
00:53:06,040 --> 00:53:07,719
Speaker 7: that has to be done no matter where we're speaking of.

1035
00:53:08,920 --> 00:53:12,680
Speaker 3: Man, that's I I that's so complicated, so conflicting.

1036
00:53:13,160 --> 00:53:14,600
Speaker 4: That's a lot going on.

1037
00:53:14,600 --> 00:53:18,040
Speaker 3: On one hand, it's really good that somebody on record

1038
00:53:18,239 --> 00:53:21,560
Speaker 3: said in the White House that the US is enabling

1039
00:53:21,600 --> 00:53:24,719
Speaker 3: Israel and continuing the genocide. I'm glad that that happened. Yeah,

1040
00:53:25,000 --> 00:53:27,160
Speaker 3: On the other hand, the fact that it's off roaded

1041
00:53:27,200 --> 00:53:30,200
Speaker 3: so quickly to now let's talk about like what we

1042
00:53:30,239 --> 00:53:34,960
Speaker 3: want to do for New Yorkers and it is like, yeah,

1043
00:53:35,480 --> 00:53:38,560
Speaker 3: it's not I don't know, it's it's the only way

1044
00:53:38,560 --> 00:53:40,440
Speaker 3: this was going to happen at all. I suppose it's

1045
00:53:40,680 --> 00:53:45,680
Speaker 3: the mar It's very no, I agree, I agree, but

1046
00:53:45,080 --> 00:53:49,680
Speaker 3: it's tonally awkward, like it's yeah, it's it's totally a

1047
00:53:49,680 --> 00:53:52,840
Speaker 3: little lot, especially when the topic is genocide, right, like

1048
00:53:52,920 --> 00:53:56,080
Speaker 3: the vault from genocide to housing affordability and understand that

1049
00:53:56,120 --> 00:53:58,480
Speaker 3: both the serious issues, it's still a tonal shift that

1050
00:53:58,600 --> 00:54:02,560
Speaker 3: is jarring. And like, yes, it's absolutely fair to say

1051
00:54:02,600 --> 00:54:04,760
Speaker 3: he's the mayor of New York. He has no ability

1052
00:54:04,800 --> 00:54:08,000
Speaker 3: to influence US policy in terms of selling arms to Israel,

1053
00:54:08,360 --> 00:54:10,239
Speaker 3: and the fact that he brought it up at all

1054
00:54:10,320 --> 00:54:13,400
Speaker 3: is positive. But boy, is that is that a wild

1055
00:54:13,520 --> 00:54:16,040
Speaker 3: minit or so of talking.

1056
00:54:16,840 --> 00:54:18,279
Speaker 2: I think the reason why he brought it up is

1057
00:54:18,320 --> 00:54:23,000
Speaker 2: to talk about specifically, like funds that we are sending

1058
00:54:23,040 --> 00:54:25,520
Speaker 2: to Israel should not be sent to Israel now, those

1059
00:54:25,560 --> 00:54:29,200
Speaker 2: funds that should be being used in the United States

1060
00:54:29,239 --> 00:54:31,920
Speaker 2: to do things to help people here. And that is

1061
00:54:32,560 --> 00:54:35,000
Speaker 2: why he brought that up as a seg well.

1062
00:54:34,800 --> 00:54:39,320
Speaker 3: And reiterating that Trump supporters often agree with the idea

1063
00:54:39,320 --> 00:54:41,640
Speaker 3: that we should not be spending this much money on this,

1064
00:54:41,960 --> 00:54:45,879
Speaker 3: sending weapons over the world to fund wars overseas. It'll

1065
00:54:45,880 --> 00:54:50,719
Speaker 3: be interesting to see if shit continues with Venezuela, how

1066
00:54:50,760 --> 00:54:53,839
Speaker 3: that all moves. But I think it's valuable to like

1067
00:54:54,360 --> 00:54:56,960
Speaker 3: really slam that home in the White House that like, hey,

1068
00:54:57,000 --> 00:55:00,279
Speaker 3: you ran on getting the US out of these kind

1069
00:55:00,320 --> 00:55:05,040
Speaker 3: of violent entanglements overseas. Yeah, I'm glad someone said it.

1070
00:55:05,080 --> 00:55:07,719
Speaker 3: I guess, Yeah, it's just weird. This is all a

1071
00:55:07,840 --> 00:55:08,600
Speaker 3: very weird meeting.

1072
00:55:09,040 --> 00:55:11,560
Speaker 4: Yeah, yeah, the whole thing was jarring. I guess.

1073
00:55:11,800 --> 00:55:13,520
Speaker 2: There was another point there where he was talking about

1074
00:55:13,600 --> 00:55:16,440
Speaker 2: like like local local New York businesses and a Trump's

1075
00:55:16,440 --> 00:55:18,520
Speaker 2: father like went to this pharmacy, And I think stuff

1076
00:55:18,520 --> 00:55:22,120
Speaker 2: like that is tactics that he used to get Trump

1077
00:55:22,239 --> 00:55:25,120
Speaker 2: to be friendly with him as well. As Trump later

1078
00:55:25,160 --> 00:55:28,040
Speaker 2: spoke about how in one of the rooms that they

1079
00:55:28,040 --> 00:55:30,520
Speaker 2: were meeting, and there was a portrait of FDR which

1080
00:55:30,560 --> 00:55:32,960
Speaker 2: Trump had personally like picked out of the storage faults

1081
00:55:32,960 --> 00:55:36,080
Speaker 2: to hang, and like Orn asked him about the portrait

1082
00:55:36,239 --> 00:55:38,160
Speaker 2: and asked if he could get a picture with it,

1083
00:55:38,360 --> 00:55:40,239
Speaker 2: and this seemed to please Trump a lot. Tr Trump

1084
00:55:40,239 --> 00:55:42,000
Speaker 2: wasn'thing able to talk about how he picked up the picture,

1085
00:55:42,239 --> 00:55:45,200
Speaker 2: and then Trump said a few really interesting things. He's like,

1086
00:55:46,000 --> 00:55:49,440
Speaker 2: I guess it's a big fan of FDR and the

1087
00:55:49,560 --> 00:55:55,560
Speaker 2: New Deal, which is phenomenal maneuvering from Zora classic technique

1088
00:55:55,840 --> 00:56:00,239
Speaker 2: to get like democratic socialist politics across to someone. Again,

1089
00:56:00,360 --> 00:56:02,360
Speaker 2: there's moments like that stuff with stuff of how we

1090
00:56:02,360 --> 00:56:05,400
Speaker 2: talked about like Bernie some some you know, the you know,

1091
00:56:05,480 --> 00:56:09,520
Speaker 2: regular populist rhetoric, talking about the crossover between you know,

1092
00:56:09,600 --> 00:56:12,200
Speaker 2: voters from between Trump and mamdannie, just his general love

1093
00:56:12,239 --> 00:56:14,719
Speaker 2: of New York and FDR New Deal. You can see

1094
00:56:14,760 --> 00:56:17,520
Speaker 2: all these things that were used to like navigate through

1095
00:56:17,560 --> 00:56:20,719
Speaker 2: this meeting to get to get Trump to actually seed

1096
00:56:20,800 --> 00:56:23,080
Speaker 2: ground on a lot of stuff with I think very

1097
00:56:23,239 --> 00:56:26,040
Speaker 2: very minimal concessions, if any if any real concessions even

1098
00:56:26,040 --> 00:56:28,760
Speaker 2: from Zor like at all. Like I think in general,

1099
00:56:29,080 --> 00:56:31,720
Speaker 2: Trump was the one that moved rhetorically throughout this meeting

1100
00:56:32,120 --> 00:56:35,600
Speaker 2: and moved on like actual like actual like promises to

1101
00:56:35,680 --> 00:56:39,560
Speaker 2: withhold funds to invade the city with National Guard troops.

1102
00:56:39,640 --> 00:56:41,880
Speaker 2: I think Trump was the one who actually seeded territory

1103
00:56:41,880 --> 00:56:44,640
Speaker 2: in this meeting. I do not see much evidence of

1104
00:56:45,400 --> 00:56:47,520
Speaker 2: things that m Donnie had could have personal impact on

1105
00:56:47,840 --> 00:56:51,000
Speaker 2: actually like losing losing ground on those things throughout this meeting.

1106
00:56:51,719 --> 00:56:53,480
Speaker 4: It is also important to remember that he has a

1107
00:56:53,520 --> 00:56:56,279
Speaker 4: rhetoric man, Damie two has a rhetorical role to play, right,

1108
00:56:56,320 --> 00:56:57,719
Speaker 4: And yes he is Mayor of New York. He is

1109
00:56:57,719 --> 00:57:00,959
Speaker 4: also an extremely popular politician at the and like when

1110
00:57:01,600 --> 00:57:06,680
Speaker 4: he talks about things like the genocide in Gaza, that

1111
00:57:06,680 --> 00:57:08,840
Speaker 4: that has rhetorical value. I'm not saying he can go

1112
00:57:08,880 --> 00:57:10,719
Speaker 4: to New York City Council and stop it, but like

1113
00:57:11,600 --> 00:57:13,839
Speaker 4: him saying that it is a genocide at the White

1114
00:57:13,840 --> 00:57:17,200
Speaker 4: House is important, and like it is important that like

1115
00:57:17,280 --> 00:57:19,720
Speaker 4: when he has this this podium in front of the

1116
00:57:19,720 --> 00:57:21,360
Speaker 4: whole world at the White House, so he used it

1117
00:57:21,360 --> 00:57:24,440
Speaker 4: to talk about the genocide, and he did, But like,

1118
00:57:24,680 --> 00:57:26,960
Speaker 4: I don't think we should only think about this in

1119
00:57:27,000 --> 00:57:29,400
Speaker 4: terms of New York. Like it is sure important that

1120
00:57:29,480 --> 00:57:31,320
Speaker 4: someone said that, and I hope he keeps using that

1121
00:57:31,400 --> 00:57:33,760
Speaker 4: platform he has right now to say that as someone

1122
00:57:33,760 --> 00:57:37,080
Speaker 4: who like is definitely looked up to nationally in like

1123
00:57:37,160 --> 00:57:38,240
Speaker 4: DSA circles.

1124
00:57:39,040 --> 00:57:40,880
Speaker 2: I mean, I think and this this goes into some

1125
00:57:40,920 --> 00:57:43,360
Speaker 2: of the the I guess kind of I mean, some

1126
00:57:43,360 --> 00:57:45,080
Speaker 2: of them are critiques, some of them aren't even really

1127
00:57:45,080 --> 00:57:46,680
Speaker 2: critiques of this meeting. I think a lot of them

1128
00:57:46,680 --> 00:57:50,560
Speaker 2: are people jumping on the opportunity to just attacks or

1129
00:57:50,600 --> 00:57:53,600
Speaker 2: on with no real construction critique there. But there's this

1130
00:57:53,760 --> 00:57:56,320
Speaker 2: kind of relates to these two different forms of politics

1131
00:57:56,320 --> 00:57:58,240
Speaker 2: that people use on the left, like politics is a

1132
00:57:58,240 --> 00:58:00,880
Speaker 2: form of personal expression as a for of like posturing

1133
00:58:01,720 --> 00:58:05,080
Speaker 2: as a as a form of like maintaining of moral purity,

1134
00:58:05,160 --> 00:58:09,000
Speaker 2: versus politics as an actual practical method of achieving cyst

1135
00:58:09,200 --> 00:58:12,600
Speaker 2: like systematic change, And people engage in these two different modes,

1136
00:58:12,840 --> 00:58:15,320
Speaker 2: and there're thing there's a role for both of these

1137
00:58:15,320 --> 00:58:17,560
Speaker 2: modes of politics. Actually, I think both of these have

1138
00:58:17,720 --> 00:58:20,800
Speaker 2: have a degree of necessity. And Zoron has has taken

1139
00:58:21,320 --> 00:58:24,680
Speaker 2: one specific path, and there's the others who are who

1140
00:58:24,680 --> 00:58:27,360
Speaker 2: are very clear in having taken the other path. And

1141
00:58:27,720 --> 00:58:29,280
Speaker 2: there's there's a bunch of a bunch of a bunch

1142
00:58:29,320 --> 00:58:32,880
Speaker 2: of critiques from this meeting quote unquote critiques, including from

1143
00:58:32,920 --> 00:58:36,480
Speaker 2: a formal Seattle City councilman who's now running for Congress

1144
00:58:36,480 --> 00:58:40,240
Speaker 2: as a socialist, Kashama Sawant quote. If I were in

1145
00:58:40,280 --> 00:58:43,720
Speaker 2: Mamdani's position, instead of asking Trump to meet me, I

1146
00:58:43,760 --> 00:58:46,400
Speaker 2: would have announced a mass rally of tens of thousands

1147
00:58:46,440 --> 00:58:48,919
Speaker 2: of people in New York City to protest against ice rates,

1148
00:58:48,920 --> 00:58:51,120
Speaker 2: to declare that New York City will not tolerate ice

1149
00:58:51,280 --> 00:58:53,160
Speaker 2: and will fight Trump every inch of the way. I

1150
00:58:53,160 --> 00:58:55,520
Speaker 2: would launch a mass campaign for free transit and free

1151
00:58:55,640 --> 00:59:00,000
Speaker 2: childcare and build a militant movement to win unquote. These

1152
00:59:00,000 --> 00:59:03,120
Speaker 2: these are things Zoran's are already participated in. These are

1153
00:59:03,200 --> 00:59:05,919
Speaker 2: things that have happened. Just one more, like one more

1154
00:59:05,960 --> 00:59:08,560
Speaker 2: protest that's going to be more effective than actually having

1155
00:59:08,560 --> 00:59:13,240
Speaker 2: Trump seed some ground on the scale of enforcement. This

1156
00:59:13,280 --> 00:59:16,040
Speaker 2: is part of why I have this like hesitation around

1157
00:59:16,320 --> 00:59:19,480
Speaker 2: discussion of Zoran, because I think he's actually doing kind

1158
00:59:19,520 --> 00:59:24,000
Speaker 2: of strategic moves to actually limit the amount of damage

1159
00:59:24,040 --> 00:59:26,160
Speaker 2: that Trump's able to do in the city. And he's

1160
00:59:26,200 --> 00:59:29,400
Speaker 2: doing it through like rhetorical maneuvers, and some of that

1161
00:59:29,480 --> 00:59:32,959
Speaker 2: may feel awkward to watch in a like a live

1162
00:59:33,040 --> 00:59:35,800
Speaker 2: press conference, but I think the actual end results of

1163
00:59:35,840 --> 00:59:38,320
Speaker 2: that have a lot more potential than say of, you know,

1164
00:59:38,360 --> 00:59:41,960
Speaker 2: a rally of ten thousand people which effectively does nothing.

1165
00:59:42,360 --> 00:59:42,520
Speaker 1: Yeah.

1166
00:59:42,520 --> 00:59:43,960
Speaker 4: I mean we've had a bunch of those that that

1167
00:59:44,520 --> 00:59:48,360
Speaker 4: is politics is performance right lately like that, Yeah, people

1168
00:59:48,360 --> 00:59:50,680
Speaker 4: are very attached to that mode of political engagement in

1169
00:59:50,680 --> 00:59:54,280
Speaker 4: the United States, like that they're large, you know, walking

1170
00:59:54,280 --> 00:59:59,280
Speaker 4: around with sciences shouting demonstration and political intent. It has

1171
00:59:59,360 --> 01:00:02,480
Speaker 4: not been success in stopping ice gribing random people of

1172
01:00:02,600 --> 01:00:03,520
Speaker 4: the street, I'll just say that.

1173
01:00:03,760 --> 01:00:06,439
Speaker 2: And people have been criticizing Zoran just simply for even

1174
01:00:06,440 --> 01:00:09,560
Speaker 2: taking this meeting because it's somehow quote unquote like humanizes

1175
01:00:09,680 --> 01:00:12,640
Speaker 2: Trump in some way, like Trump doesn't need to be humanized, right,

1176
01:00:12,640 --> 01:00:15,560
Speaker 2: Like it's like Zoron's platform by Donald Trump. He is

1177
01:00:15,600 --> 01:00:19,720
Speaker 2: the president of the United States. He he he wins,

1178
01:00:19,760 --> 01:00:23,000
Speaker 2: he has that position, he has bought the legitimacy like

1179
01:00:23,040 --> 01:00:26,960
Speaker 2: this this I don't think Zoron being there actually rehabilitates

1180
01:00:27,000 --> 01:00:29,919
Speaker 2: Trump's image in a meaningful way. I think what he's

1181
01:00:29,920 --> 01:00:32,600
Speaker 2: doing is trying to actually make New York a safer

1182
01:00:33,000 --> 01:00:35,720
Speaker 2: and more affordable place to live by doing a kind

1183
01:00:35,720 --> 01:00:38,800
Speaker 2: of complicated political maneuver, which I'm sure is kind of

1184
01:00:38,880 --> 01:00:41,200
Speaker 2: upsetting to kind of go through, but he's doing it.

1185
01:00:41,480 --> 01:00:44,440
Speaker 2: And the wave of criticism that it's kind of based

1186
01:00:44,480 --> 01:00:47,520
Speaker 2: on based on that sort of you know, humanizing argument

1187
01:00:47,600 --> 01:00:50,080
Speaker 2: or this stuff on, like why doesn't Zorn just protest

1188
01:00:50,120 --> 01:00:53,120
Speaker 2: instead of actually trying to like cut deals or like

1189
01:00:53,360 --> 01:00:55,880
Speaker 2: not even cut deals because that sounds so like slimy,

1190
01:00:55,880 --> 01:00:58,800
Speaker 2: but like actually like negotiate with the president, and like

1191
01:00:59,000 --> 01:01:03,600
Speaker 2: this criticism comes on the tail end like a week's

1192
01:01:03,640 --> 01:01:06,920
Speaker 2: worth of very reflexive criticism of Zoran for his retention

1193
01:01:07,120 --> 01:01:11,120
Speaker 2: of New York Police Department Commissioner Jessica Tish, as well

1194
01:01:11,120 --> 01:01:14,160
Speaker 2: as advocating against the New York City DSA's endorsement of

1195
01:01:14,200 --> 01:01:17,920
Speaker 2: city councilmen and new DSA member she offses primary campaign

1196
01:01:17,960 --> 01:01:21,920
Speaker 2: against Congressman Hukim Jeffries. Some of these criticisms I get

1197
01:01:21,920 --> 01:01:23,400
Speaker 2: the Jefferson a little bit more, but some of these

1198
01:01:23,440 --> 01:01:26,280
Speaker 2: criticisms I find to be a little odd, mostly considering

1199
01:01:26,320 --> 01:01:28,480
Speaker 2: the fact that Zoran has been open about his plan

1200
01:01:28,520 --> 01:01:32,520
Speaker 2: to retain Tish for literal months, for literal months, and

1201
01:01:32,720 --> 01:01:35,240
Speaker 2: just this week people acted like it was this massive

1202
01:01:35,320 --> 01:01:39,520
Speaker 2: betrayal in his like ideological purity or his stated promises,

1203
01:01:39,520 --> 01:01:41,640
Speaker 2: which just isn't true. He's been open about this like

1204
01:01:41,720 --> 01:01:44,920
Speaker 2: since like last summer, and on the on the Jeffrey

1205
01:01:45,040 --> 01:01:46,880
Speaker 2: side of things, I think Zorn's point of view here

1206
01:01:46,920 --> 01:01:49,840
Speaker 2: is at a difficult primary campaign and one that's probably

1207
01:01:49,880 --> 01:01:53,800
Speaker 2: going to be unsuccessful based on the Zoron twenty twenty

1208
01:01:53,840 --> 01:01:57,880
Speaker 2: five general vote map. It shows that that'd be very,

1209
01:01:58,040 --> 01:02:01,080
Speaker 2: very challenging. But this, this difficul call primary against referees,

1210
01:02:01,240 --> 01:02:05,000
Speaker 2: would also inhibit Zoron's ability to implement the affordability agenda

1211
01:02:05,040 --> 01:02:07,840
Speaker 2: in the city. The New York Times quoted a leaked

1212
01:02:07,880 --> 01:02:12,040
Speaker 2: portion of the DSA's endorsement meeting with Zoran saying, quote,

1213
01:02:12,080 --> 01:02:14,080
Speaker 2: the choice before us is not whether to vote for

1214
01:02:14,280 --> 01:02:17,040
Speaker 2: Chai or Hageme at the ballot box. The choice is

1215
01:02:17,080 --> 01:02:19,360
Speaker 2: how to spend the next year. Do we want to

1216
01:02:19,400 --> 01:02:22,360
Speaker 2: spend it defending caricatures of our movement or do we

1217
01:02:22,400 --> 01:02:25,320
Speaker 2: want to spend it fulfilling the agenda at the heart

1218
01:02:25,440 --> 01:02:28,480
Speaker 2: of that very same movement. Unquote, Zora has a very

1219
01:02:28,480 --> 01:02:31,080
Speaker 2: specific focus right now on the New York City government,

1220
01:02:31,120 --> 01:02:35,240
Speaker 2: and implementing the agenda for New York City and the

1221
01:02:35,280 --> 01:02:40,360
Speaker 2: congressional campaign would, in his view, only put more roadblocks

1222
01:02:40,400 --> 01:02:43,200
Speaker 2: to that at this point in time. Versus keeping a

1223
01:02:43,440 --> 01:02:45,960
Speaker 2: left wing ally in the New York City Council.

1224
01:02:46,440 --> 01:02:48,280
Speaker 4: I guess I don't see why they can't do both.

1225
01:02:48,400 --> 01:02:51,440
Speaker 4: Like they will be defending caricatures of their movement for

1226
01:02:51,520 --> 01:02:56,720
Speaker 4: sure the next forever right until the Internet and stupid politics,

1227
01:02:56,800 --> 01:02:59,320
Speaker 4: the stopping part of a politics which isn't coming anytime soon.

1228
01:03:00,280 --> 01:03:02,240
Speaker 4: I think it'd be perfectly possible to give that endorsement

1229
01:03:02,240 --> 01:03:04,080
Speaker 4: and still say my job as mayor is to do

1230
01:03:04,120 --> 01:03:06,400
Speaker 4: the ship that I promised to do. I also endorse

1231
01:03:06,480 --> 01:03:08,240
Speaker 4: this person because I think they're a better person than

1232
01:03:08,320 --> 01:03:12,520
Speaker 4: the Keem Jeffries, who has been very poor. Okay, I

1233
01:03:12,560 --> 01:03:15,040
Speaker 4: don't I don't see those two things as mutually exclusive.

1234
01:03:16,160 --> 01:03:19,200
Speaker 4: We need to talk about MTG, if only very briefly.

1235
01:03:19,600 --> 01:03:20,959
Speaker 3: What is there to say.

1236
01:03:21,120 --> 01:03:27,040
Speaker 4: That magic the Gathering has finally reclaimed the acronym. Oh good, Yeah,

1237
01:03:27,120 --> 01:03:29,920
Speaker 4: Marjorie Taylor Green leaving politics?

1238
01:03:30,280 --> 01:03:34,080
Speaker 2: Well maybe, well she's leaving the house. Is at the end,

1239
01:03:34,160 --> 01:03:35,000
Speaker 2: at the end of the year.

1240
01:03:35,160 --> 01:03:36,120
Speaker 4: Is leaving the house?

1241
01:03:36,120 --> 01:03:37,080
Speaker 2: See what she's announced?

1242
01:03:37,440 --> 01:03:38,920
Speaker 4: Yeah, yeah, yeah.

1243
01:03:38,960 --> 01:03:41,280
Speaker 2: It is unclear how she will continue her career.

1244
01:03:42,000 --> 01:03:45,560
Speaker 4: Maybe maybe Zoran will be taking her seat. Maybe the

1245
01:03:45,680 --> 01:03:46,439
Speaker 4: Trump's new friend.

1246
01:03:46,520 --> 01:03:48,560
Speaker 2: I mean, I really don't think he's much interest in

1247
01:03:48,880 --> 01:03:51,240
Speaker 2: being in the House of Representatives, especially in Georgia.

1248
01:03:51,320 --> 01:03:52,360
Speaker 3: Oh would jesus?

1249
01:03:52,680 --> 01:03:55,320
Speaker 4: He has a much more important role now. I guess

1250
01:03:55,320 --> 01:03:57,040
Speaker 4: like he's able to do a lot more as executive

1251
01:03:57,080 --> 01:03:58,360
Speaker 4: new York than he ever would be as like a

1252
01:03:58,400 --> 01:04:02,840
Speaker 4: single rep in yeah yeah, yeah, but yeah no more MTG.

1253
01:04:03,840 --> 01:04:05,360
Speaker 3: Okay, well great.

1254
01:04:06,160 --> 01:04:09,320
Speaker 4: If you want to contact us, you can reach out

1255
01:04:09,360 --> 01:04:15,280
Speaker 4: to us at Coolzone tips at proton dot me. We

1256
01:04:15,440 --> 01:04:19,080
Speaker 4: reported the news, We reported the news.

1257
01:04:27,440 --> 01:04:29,920
Speaker 1: It to happen here is a production of cool Zone Media.

1258
01:04:30,120 --> 01:04:33,120
Speaker 1: For more podcasts from cool Zone Media, visit our website

1259
01:04:33,240 --> 01:04:36,840
Speaker 1: Coolzonemedia dot com, or check us out on the iHeartRadio app,

1260
01:04:36,880 --> 01:04:40,480
Speaker 1: Apple Podcasts, or wherever you listen to podcasts. You can

1261
01:04:40,480 --> 01:04:42,840
Speaker 1: now find sources where it could happen here listed directly

1262
01:04:42,840 --> 01:04:45,160
Speaker 1: in episode descriptions. Thanks for listening.