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Speaker 1: Hey, guys, Saga and Crystal here.

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Speaker 2: Independent media just played a truly massive role in this election,

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Speaker 2: and we are so excited about what that means for

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Speaker 2: the future of this show.

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Speaker 1: This is the only place where you can find honest

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Speaker 1: perspectives from the left and the right that simply does

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Speaker 1: not exist anywhere else.

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Speaker 2: So if that is something that's important to you, please

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Speaker 2: go to Breakingpoints dot com. Become a member today and

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Speaker 1: We need your help to build the future of independent

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Speaker 1: news media and we hope to see you at Breakingpoints

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Speaker 1: dot com.

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Speaker 2: Good morning, everybody, Happy Monday. Welcome to Breaking Points for

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Speaker 2: Little Lady Shows for you.

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Speaker 3: Yeah, surprise, it was just that we were ambushed by

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Speaker 3: doing The Lady Show and we're happy to do it.

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Speaker 2: Yes, indeed, we're always ready to step up with The

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Speaker 2: Lady Show. And there is a lot of news to

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Speaker 2: get to this morning. We got a China trade war,

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Speaker 2: we got the government still shut down, we got ice

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Speaker 2: gone wild in Chicago and elsewhere. We've got Trump in Israel,

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Speaker 2: and we're gonna bring you.

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Speaker 4: Some some saucs.

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Speaker 2: Just speaking like right now as we're recording this, So

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Speaker 2: we're going to process that bring you all of the

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Speaker 2: news with regard to there's a whole bunch of stuff

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Speaker 2: going on there. We're going to try to get to

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Speaker 2: this story about whether or not there's going to be

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Speaker 2: a Katari air base on US soil, something Laura Lumer

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Speaker 2: was very unhappy about.

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Speaker 4: So that's an interesting one.

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Speaker 3: It is just an interesting story in general. What is

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Speaker 3: actually happening. Pete Heike Seth himself had to issue a clarification,

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Speaker 3: So we're going to break down actually the real story

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Speaker 3: when we get to that block.

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Speaker 2: Yeah, Hexa said very clearly they're going to have an

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Speaker 2: air base, and then they're like fake news, They're not

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Speaker 2: going to have an airbase. The media is lying to you,

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Speaker 2: Like we're just literally trying to listen to what the

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Speaker 2: Secretary of War is telling us here.

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Speaker 3: Yes, but thank you for using his preferred I was

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Speaker 3: gonna say proanam, but preferred it a little identify as

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Speaker 3: a Secretary of War.

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Speaker 4: Yeah that's true, that's true.

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Speaker 2: And then we have to get in this block about

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Speaker 2: Peter Teel and his views on the anti christ. I mean,

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Speaker 2: this is an incredibly powerful influential man, because of his wealth,

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Speaker 2: because of his involvement with variety of companies, because of

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Speaker 2: his connection to the Trump administration.

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Speaker 4: So when he's saying wild things, you have to listen.

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Speaker 2: And Washington Post got their hands on the audio of

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Speaker 2: these four lectures, private lectures that he gave on the

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Speaker 2: subject of the Antichrist. We also pulled some clips of

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Speaker 2: things that he said publicly before.

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Speaker 4: So we're going to dig into that a little bit.

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Speaker 3: Yeah, looking forward to a crystal But let's start with China.

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Speaker 2: Yeah, indeed, So a whole lot of things happened with

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Speaker 2: regard to this on Friday, and the market's really tanked

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Speaker 2: in reaction. So China announced export restrictions, so ban blocking

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Speaker 2: US aggressively from these rare earth minerals, which are really critical,

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Speaker 2: which could have a major impact. Trump then responded saying

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Speaker 2: he was going to increase tariffs on China to one

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Speaker 2: hundred percent and impose additional restrictions on them as well.

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Speaker 2: As I said, the market's tanks, there was a big reaction.

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Speaker 2: Now we've got Trump kind of walking it back. So

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Speaker 2: that's where we are this morning. Let's take a listen

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Speaker 2: to jd Vance yesterday sounding off on this.

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Speaker 5: I'll be honest with you, Maria. It's going to be

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Speaker 5: a delicate dance, and a lot of it is going

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Speaker 5: to depend on how the Chinese respond. If they respond

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Speaker 5: in a highly aggressive manner, I guarantee you that President

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Speaker 5: of the United States has far more cards than the

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Speaker 5: People's Republic of China. If, however, they're willing to be reasonable,

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Speaker 5: then Donald Trump is always to be always willing to

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Speaker 5: be a reasonable negotiator. We're going to find out a

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Speaker 5: lot in the weeks to come about whether China wants

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Speaker 5: to start a trade war with us or whether they

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Speaker 5: actually want to be reasonable. I hope they choose the

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Speaker 5: path of reason. The President of United States is going

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Speaker 5: to defend America regardless.

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Speaker 2: So let me go ahead and put the Trump Truth

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Speaker 2: up on the screen where he initially announced his retaliatory actions.

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Speaker 2: And to be clear, the Chinese are saying they were

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Speaker 2: acting in retaliation to US changing some of the rules

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Speaker 2: on our chips export restrictions. So they felt that we

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Speaker 2: had violated a sort of verbal agreement that we had

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Speaker 2: with them to just hold everything in place while a

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Speaker 2: larger deal was being worked out. That's why they upped

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Speaker 2: their export controls on US. This is Trump announcing retaliation

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Speaker 2: in response to that retaliation, So he says, it's just

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Speaker 2: been learned. China has taken an extraordinarily aggressive position on

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Speaker 2: trade in sending extremely hostile letter to the world stating

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Speaker 2: that we're going to, effective November first, impose large scale

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Speaker 2: export controls on virtually every product they make, and some

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Speaker 2: not even made by them. This affects all countries without exception.

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Speaker 2: Was obviously a plan devised by them years ago, absolutely

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Speaker 2: unheard of, an international trade moral disgrace in dealing with

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Speaker 2: other nations based on the fact China has taken this

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Speaker 2: unprecedented position, speaking only for the USA, not other nations

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Speaker 2: who are similarly threatened. Starting November first or sooner, depending

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Speaker 2: the US of A will impose a tariff of one

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Speaker 2: hundred percent on China, over and above any tariff they

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Speaker 2: are currently paying. Also, on November first, we will impose

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Speaker 2: export controls on any and all critical software. Possible to

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Speaker 2: believe China would have taken such an action, but they have,

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Speaker 2: and the rest is history. Thank you for your attention

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Speaker 2: to this matter, and put a three up on the

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Speaker 2: screen that shows the extent of the stock market crash.

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Speaker 2: That we saw on Friday. Now as of this more

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Speaker 2: right now it is eighth nine a m. So markets

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Speaker 2: are not open, but futures Emily are up because Trump

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Speaker 2: put out another truth saying that you know, it would

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Speaker 2: all work out, it'd be okay.

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Speaker 6: Yeah.

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Speaker 3: The CNBC headline right now do futures jump thre hundred

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Speaker 3: points after Trump says China situation quote will all be fine.

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Speaker 3: Everything's okay. He's got it completely under control, Crystal, There's

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Speaker 3: no need to worry about it. He did say an

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Speaker 3: air Force one and route to Israel in Egypt that

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Speaker 3: November first. To him is you know, a long time away.

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Speaker 3: Other people say it's really close, but for him, he

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Speaker 3: says it's a long time away, projecting some confidence that

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Speaker 3: he has China coming to the table on all of this.

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Speaker 3: It's true, I mean, part of the true social or action.

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Speaker 3: I'm sorry, this is part of what Jade Vance says.

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Speaker 3: It is true that it's not like we have zero

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Speaker 3: leverage in the situation. So there's I mean, there are

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Speaker 3: all kinds of things that can happen between now and then.

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Speaker 3: But I don't know that. I'm just listen. I don't

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Speaker 3: sell stocks. But Trump's saying, quote, everything will be fine.

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Speaker 3: It's not exactly the confidence boost.

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Speaker 4: Yeah, well it fits.

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Speaker 2: I mean, the whole thing kind of fits a pattern

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Speaker 2: of what he's done in the past, in particular, some

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Speaker 2: sort of something happening on Friday, some tariffs announced. Markets reacting,

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Speaker 2: but they're closed over the weekend. Over the weekend, they're closed,

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Speaker 2: and then lo and behold before Monday comes around, he

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Speaker 2: makes some other comment that people makes people go, Okay,

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Speaker 2: I'm sure everything will be fine then. And you know,

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Speaker 2: the backdrop of this, of course, as we've been covering year,

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Speaker 2: is that we likely have this gigantic AI bubble. The

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Speaker 2: all but zero point one percent of our GDP growth

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Speaker 2: has come from investment in AI and AI data centers.

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Speaker 2: Eighty percent of the growth in the stock market comes

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Speaker 2: from these AI related companies. So we're really betting the

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Speaker 2: farm on this thing. And yet you know, you've got

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Speaker 2: all kinds of other economic indicators that for average people

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Speaker 2: are going very poorly. The stock market just continues to

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Speaker 2: go up and up and up because of that bet

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Speaker 2: on AI. And if we could put a seven up

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Speaker 2: on the screen here in terms of how to think

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Speaker 2: about this war between US and China, with regard to trade.

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Speaker 2: This is Arnout Bertrand who wrote about, Okay, why is

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Speaker 2: it that China is taking these actions? Now, we've long

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Speaker 2: known about this what he describes as the rare earth card,

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Speaker 2: which they have very strategically, you know, been able to

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Speaker 2: secure the ability not just the access to rare minerals,

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Speaker 2: but the ability to refine them. They're really critical at

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Speaker 2: all these technologies of the future. So why haven't they

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Speaker 2: really played this card before? And he says that one

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Speaker 2: of the answers is actually helium. He looked into the

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Speaker 2: fact that you know, helium isn't he says, just a

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Speaker 2: party balloon. Gas is plenty of industrial applications for things

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Speaker 2: like quantum computing, rocket technology, MRI machines, coolant for chip

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Speaker 2: lithography equipment, et cetera. And so they realized that they

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Speaker 2: had a problem in terms of their own helium access,

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Speaker 2: and so over years they've made sure that they were

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Speaker 2: able to diversify their access to helium, which is critical

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Speaker 2: in a variety of things. And now they're at a

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Speaker 2: point where ninety five percent of the helium that they

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Speaker 2: use comes from sources other than the US. So now

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Speaker 2: they're in a position where they can play this what

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Speaker 2: he describes as the rare Earth card. He says, that's

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Speaker 2: what most people don't realize. Power is not about intentions

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Speaker 2: or rhetoric, It's about what you can actually do. Many

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Speaker 2: wonder why countries almost never retaliate when the US imposes

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Speaker 2: sanctions or export controls. The answer simple, they can't. They

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Speaker 2: lack the alternatives that technologies supply chains. China is the

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Speaker 2: first country that systematically worked to eliminate every single pressure

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Speaker 2: point with humongous efforts. It's not just helium, it's chips, energy, telecom, pharmaceuticals, etc.

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Speaker 2: That's why the rare earth card can finally be played now,

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Speaker 2: not because China suddenly became aggressive, but because they have

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Speaker 2: developed the capabilities to say no. And Emily, I think

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Speaker 2: this is such an incredible contrast between the Chinese system

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Speaker 2: and the American system. So even putting you know, Trump aside,

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Speaker 2: first of all, the American system we tend to like

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Speaker 2: to outsource to the markets. You know, if the markets

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Speaker 2: don't think that if they can obtain helium or rare

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Speaker 2: earth in a cheaper way that doesn't secure the sill

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Speaker 2: apply line here finally from China specifically, then that's what

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Speaker 2: will happen. And there's been very little over the past

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Speaker 2: thirty forty years thoughtful industrial policy about Okay, these are

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Speaker 2: things that are critical to our national security, these are

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Speaker 2: the technologies that are going to be critical to the future.

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Speaker 2: What can we do to create a system where we

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Speaker 2: are investing in those and make sure that we are

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Speaker 2: leading in those. And then you couple that with under

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Speaker 2: the Trump administration, they have some impulses in that direction,

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Speaker 2: but they are also a bunch of fools and idiots

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Speaker 2: who don't think three steps ahead. So this rare they

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Speaker 2: don't even think half a step ahead. I mean, the

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Speaker 2: rare earth mineral thing is such an obvious problem for us,

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Speaker 2: and yet Trump just barrels ahead full speed, putting random

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Speaker 2: tariffs on this country and that country and on China,

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Speaker 2: and these very aggressive postures that make us in incredibly

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Speaker 2: vulnerable in a way that was very very predictable and

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Speaker 2: very obvious.

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Speaker 3: Chinese politics don't center around the immediate news cycle. I

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Speaker 3: mean their politics is engineered over one hundred two hundred

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Speaker 3: year cycles. And Donald Trump very much negotiates as though

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Speaker 3: everything is this back and forth in a micro sense,

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Speaker 3: I mean, like he's more macro than other presidents, but

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Speaker 3: he's micro in his negotiations, and that it's about the

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Speaker 3: personal moment, the last time he spoke to she or

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Speaker 3: the last communication that happened between the United States and China,

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Speaker 3: and what gets lost in all of that. And this

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Speaker 3: is actually the point I was trying to make earlier

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Speaker 3: about the stocks. It's that do I think that Trump

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Speaker 3: might do a taco in this situation? Yeah, of course

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Speaker 3: I think Trump might do a taco in the situation.

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Speaker 3: What does that do to us though? In the long term?

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Speaker 3: Does that solve any long term problem? Or is it

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Speaker 3: a stop gap for Donald Trump to have this macro

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Speaker 3: sense look like he's making progress on the industrial policy,

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Speaker 3: but actually what he did was solve a micro problem

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Speaker 3: that you could argue he created by getting in to

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Speaker 3: this situation without a massive sort of long term industrial

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Speaker 3: policy in place. So yeah, I mean it's bleak. I

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Speaker 3: think it's probably waking up. I mean, it's partially to

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Speaker 3: your point. It's like we have the kind of worst

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Speaker 3: of both world situation right now where we don't have

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Speaker 3: a super smart, targeted government industrial policy on rare earth,

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Speaker 3: but we do have our like predatory capitalists who will

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Speaker 3: try to quickly make a buck off of this when

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Speaker 3: they realized that Trump wants to see them doing it

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Speaker 3: and that they probably have a lot of financial disincentives

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Speaker 3: to decouple from China. But there are actually people in

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Speaker 3: Trump's own administration that don't want a financial decoupling with China.

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Speaker 3: Like this is the war inside the Trump administration right

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Speaker 3: now too. So basically nobody has any idea in the

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Speaker 3: big picture sense, like what a clear organized policy is

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Speaker 3: going to look like. We don't have anything on the

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Speaker 3: table right now.

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Speaker 2: Yeah, that's right, and I think, you know, zooming on

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Speaker 2: a bit. It's just kind of like the promise in

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Speaker 2: the peril of a more planned economy. Yeah, because the

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Speaker 2: Chinese are executing this extremely well. You know, the amount

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Speaker 2: when you look at the number of people have been

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Speaker 2: lifted out of poverty over the past number of decades,

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Speaker 2: overwhelmingly that is because of growth in China, Like the

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Speaker 2: number of their rapid economic growth and the number of

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Speaker 2: their own people that they've been able to lift out

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Speaker 2: of poverty is truly like one of the great economic

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Speaker 2: miracles in history.

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Speaker 3: And not in any small part by persuading us to

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Speaker 3: trade with them more and more. Yeah, that was a

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Speaker 3: big part of it.

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Speaker 2: They looked at first of all, they rejected the path

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Speaker 2: that we pushed on like the former Soviet Union of

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Speaker 2: like this neoliberal shock doctrine, explicit saw that that did

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Speaker 2: not go well and explicitly rejected that path and understood

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Speaker 2: the global international system well enough to basically sort of

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Speaker 2: use it and for their own ends, right to exploit

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Speaker 2: the loopholes in it, to use it for their own ends,

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Speaker 2: and have had this incredibly intelligent strategic policy plans. And

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Speaker 2: not to say that everything is rosy and it's all

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Speaker 2: perfect and they don't have their own economic challenges to

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Speaker 2: deal with. That certainly the case. But we can see,

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Speaker 2: you know, the way that their solar energy and renewable

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Speaker 2: energy is coming online. Can see the way that their

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Speaker 2: EV industry has developed and is way more advanced at

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Speaker 2: this point than ours is. We can see the way

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Speaker 2: that they are, you know, at least even with us

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Speaker 2: in terms of AI development.

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Speaker 4: You know, all of these areas.

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Speaker 2: That we used to feel like, oh well, they can

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Speaker 2: just copy our tech after we put it out there,

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Speaker 2: so we're always at the bleeding edge.

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Speaker 4: That is no longer the case in terms of China.

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Speaker 2: So they've been able to accomplish something that is extraordinary

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Speaker 2: because it's been driven by the top and it also

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Speaker 2: has been extremely intelligent. And then with the Trump administration,

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Speaker 2: you do have this impulse towards more of you know,

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Speaker 2: top down government control, but it's done in this totally

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Speaker 2: haphazard way with no forethought and no long term planning.

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Speaker 2: I mean, part of that is just the nature of

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Speaker 2: the American system where you get in office for four

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Speaker 2: years and then you're tossed down again. But it also

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Speaker 2: is because you know, they have gone about this in

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Speaker 2: such a you know, slapshot man. Are just thinking back

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Speaker 2: to that original tariff announcement with all the you know,

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Speaker 2: countries listed and some of it didn't make sense and

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Speaker 2: incorrect and terrifying islands that only a penguins on it. Whatever,

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Speaker 2: the polar opposite of the intelligent, strategic, thought out direction

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Speaker 2: that you would want to go. And meanwhile, they're actively

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Speaker 2: kneecapping the industries of the future. I mean they don't

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Speaker 2: have you know, typically Republicans have said they have in

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Speaker 2: all of the above energy strategy, they are actively hostile

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Speaker 2: towards renewable energy, while China is you know, racing ahead

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Speaker 2: in that field. So I think it's an incredible contrast

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Speaker 2: between the you know, the approaches of the two countries

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Speaker 2: and the perils not only of neoliberalism but a stupidly

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Speaker 2: done planning from the top.

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Speaker 3: Yeah, I mean some of the people who pushed the

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Speaker 3: renewables have made it hard to mine where Earth and

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Speaker 3: places like Alaska, Like, there's some of that going on.

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Speaker 3: At the same time, it's the strongest critique of industrial

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Speaker 3: policy is that it becomes Curney capitalism, and that Curney

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Speaker 3: capitalism not only is it moral, but it's also inefficient.

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Speaker 3: And when Trump was pitching this industrial policy, you know,

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Speaker 3: planning Liberation Day, nobody knew exactly what it would look like.

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Speaker 3: The warning from the like boomer cons and neo libs

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Speaker 3: was industrial policies crony, Like industrial policy just becomes inefficient.

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Speaker 3: It's crony capitalists. It's inefficient. And then all of the

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Speaker 3: industrial policy, you know, people like Sogermy were like, well,

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Speaker 3: there's there's a way that this can be done that

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Speaker 3: actually makes a lot of sense. And then Trump just

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Speaker 3: like has completely explicitly shown it's basically crony capitalis like

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Speaker 3: he has a system of crony capitalism that we haven't

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Speaker 3: seen fully in fruition because he's still going back and

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Speaker 3: forth and a lot of the stuff, like the China

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Speaker 3: stuff right now, like it's happening right now, and yeah,

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Speaker 3: Liberation Day was April. So we don't know exactly what

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Speaker 3: the legacy of the Trump terror policy is going to

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Speaker 3: look like because we have no idea day to day

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Speaker 3: where he lands with individual countries, including massive ones like China.

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Speaker 3: Is he going to capitulate in ways that make no

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Speaker 3: sense to the United States? Is he going to crack

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Speaker 3: down on a way that's hawkish and puts us in

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Speaker 3: We genuinely do not know because so much of it

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Speaker 3: depends on who he talks to last Yeah, what kind

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Speaker 3: of deal they're making. I mean, it's actually like the

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Speaker 3: AI announcement early in his presidency where he had Sam

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Speaker 3: Altman behind like inconceivable a year ago during his campaign,

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Speaker 3: or let's say a year and a half ago during

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Speaker 3: the campaign, that he would be giving so much away

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Speaker 3: to people who were brutally opposed to him in many

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Speaker 3: ways for years and there he was. So it's all haphazard.

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Speaker 3: It's all completely haphazard.

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Speaker 2: To your crony capitalism point. It very much appears that

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Speaker 2: there was somebody who made millions and millions of dollars

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Speaker 2: insider trading on crypto in particular, people are tracking these

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Speaker 2: wallets that you know we're trading just before this one

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Speaker 2: hundred percent tariff announcement was made.

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Speaker 4: Par for the course for this administration. Not shocking.

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Speaker 2: It's barely even worth a mention because that's just how

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Speaker 2: that's just the crony capitalist nature of this administration. He

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Speaker 2: is validating some of the criticisms of liberal Arrians.

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Speaker 4: That is truly unforgivable. Never forgive me for that.

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Speaker 3: But it's not as though, I mean, like everyone knows

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Speaker 3: that can happen and that can go wrong, right, Like

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Speaker 3: everyone knows that. But Trump is especially more in his

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Speaker 3: first term, but in his second time he's just been

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Speaker 3: surrounded by the business community. He enjoys so much having

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Speaker 3: industry kissed the ring, and they weren't doing it at

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Speaker 3: all on his first term, so he didn't wasn't even

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Speaker 3: in a position to make deals with it.

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Speaker 2: And it's a way for him. He loves power like

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Speaker 2: and that's a way for there's nothing he loves more

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Speaker 2: than you know, people showing up, Tim Cook showing up

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Speaker 2: at the White House with a gold bar for him,

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Speaker 2: and you know, or Mark Zuckerberg being like, oh, sir,

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Speaker 2: did I'd say the right dollar amount that you wanted

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Speaker 2: me to say in terms of our investment in the

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Speaker 2: US and being able to have that direct line and

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Speaker 2: really consolidate this, you know, system of oligarchs who surround him. Meanwhile,

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Speaker 2: you know, excuse me, very relevant to this. You can

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Speaker 2: put a eight up on the screen.

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Speaker 4: This is what I was referring to before.

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Speaker 2: I mean, so much of our economy is literally just

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Speaker 2: a without data centers. GDP growth was zer point one

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Speaker 2: percent in the first half of twenty twenty five. Financial

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Speaker 2: Times had a grade headline that was something like the

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Speaker 2: US is now just one big bet on AI and.

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Speaker 4: That is increasingly the case.

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Speaker 2: This will become relevant again in our final block on

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Speaker 2: Peter Teel and the Antichrist, because his whole theory is

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Speaker 2: that anyone who opposes this is actually like either the

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Speaker 2: Antichrist or like in league with the Antichrist.

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Speaker 3: But he's also like conceding it's a bet, you know,

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Speaker 3: it's a gamble.

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Speaker 2: Yeah, he says it's dangerous, but it's more dangerous to

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Speaker 2: not do it.

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Speaker 4: That's his position.

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Speaker 2: So so that's where we are, and we can take

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Speaker 2: a look at eight ten just US dollar. You know,

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Speaker 2: it continues to decline precipitously this year, all sorts of

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Speaker 2: you know, troubling economic indicators and the US dollar piece.

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Speaker 2: And also Shagara and I covered last week the extraordinary

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Speaker 2: rise of gold is an incredibly significant development because effectively,

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Speaker 2: what the world is saying is dollar US chargers, you

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Speaker 2: guys are no longer the safe haven. We are going

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Speaker 2: to gold, We're going to hard metals. We're going to

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Speaker 2: find somewhere else that is a place to hedge our

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Speaker 2: bets against this massive likely AI bubble that we can

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Speaker 2: see inflating.

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Speaker 4: So that is why that is very significant.

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Speaker 3: Mm hmmmmm. Yep. And I mean this is a'm on

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Speaker 3: CNBC again right here. Retaliation or escalations the headline. Trust

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Speaker 3: between the US and China is fading fast. Analysts say

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Speaker 3: the root cause of the attension is due to a

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Speaker 3: lack of mutual trust. This is what we were getting

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Speaker 3: at before Crystal. It's like utterly unpredictable because and like

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Speaker 3: I made the argument early after Liberation Day that the

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Speaker 3: unpredictability was leveraged to an extent and I think that

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Speaker 3: would have been true, but now the unpredictability has people

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Speaker 3: betting very clearly in the long term. A lot of

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Speaker 3: these bets are being placed with countries outside of the

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Speaker 3: United States with supply chains outside of the United States,

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Speaker 3: all of them, but a lot of them are enough

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Speaker 3: that it should actually be genuinely concerning for us because

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Speaker 3: this lack of mutual trust was not just between the

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Speaker 3: United States and China. It's between our other trading partners

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Speaker 3: in the United States. And they have to trust the

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Speaker 3: relationship between the United States and China. They have to

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Speaker 3: trust what the policy looks like is clear in one

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Speaker 3: direction or the other. And really just like even at

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Speaker 3: this point how many months since April was people don't

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Speaker 3: know and people have to make money, they have to

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Speaker 3: make business decisions, and here we are.

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Speaker 2: Yeah, we're going to keep our eye on all of this.

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Speaker 2: Wh That's why Gold, by the way, going up and up. Yeah,

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Speaker 2: And we're going to continue to keep our eye on

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Speaker 2: all of this, including the the AI piece of this,

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Speaker 2: because I really feel it is an undercovered, like bubbling

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Speaker 2: populist issue. Most from the standpoint of you know, where

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Speaker 2: these data centers are being located and some of the

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Speaker 2: battles with locals who don't want them there or after

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Speaker 2: they're there, are very upset about the fallout from that.

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Speaker 2: And then the spiking electricity prices, which is just you know,

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Speaker 2: that is like shortest way to get some sort of

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Speaker 2: a populous backlash is if you make it more and

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Speaker 2: more expensive for people just to be able to like

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Speaker 2: have the basics of living their lives.

437
00:21:04,720 --> 00:21:07,159
Speaker 3: You know, maybe it's possible that six months from now

438
00:21:07,480 --> 00:21:10,040
Speaker 3: Trump has worked out some type of like massive deal

439
00:21:10,240 --> 00:21:13,440
Speaker 3: with China and things are clearer and make more sense,

440
00:21:13,560 --> 00:21:15,359
Speaker 3: But right now it doesn't look like that's where this

441
00:21:15,520 --> 00:21:19,119
Speaker 3: is going. I get it. I get why. You know,

442
00:21:19,240 --> 00:21:23,520
Speaker 3: Trump allies, Trump supporters will say just like trust the process,

443
00:21:23,640 --> 00:21:26,760
Speaker 3: But for people outside of Trump circles, somebody trusts the

444
00:21:26,880 --> 00:21:29,320
Speaker 3: process right now, especially now, we're going to show the

445
00:21:29,320 --> 00:21:32,520
Speaker 3: clip of Marjorie Taylor Green on Tim Dillon as people's

446
00:21:32,680 --> 00:21:37,560
Speaker 3: livelihoods are being like directly and obviously affected in material ways.

447
00:21:37,760 --> 00:21:39,840
Speaker 4: Yeah, she's a canary in the coal mine, I'd say.

448
00:21:39,920 --> 00:21:42,080
Speaker 3: Yeah. The extent to which people are willing to quote

449
00:21:42,080 --> 00:21:45,000
Speaker 3: trust the process at this point is obviously, I mean,

450
00:21:45,119 --> 00:21:47,919
Speaker 3: even people who were like Trump curious independence, They're going

451
00:21:47,960 --> 00:21:51,200
Speaker 3: to have a serious problem unless there's again to your point, Crystal,

452
00:21:51,240 --> 00:21:54,840
Speaker 3: a clear, concrete industrial policy deal with China, deal with

453
00:21:54,920 --> 00:21:58,640
Speaker 3: other major major trading partners that is coherent makes sense.

454
00:21:58,760 --> 00:22:00,560
Speaker 3: That's going to be really difficult for them to sell

455
00:22:00,600 --> 00:22:02,320
Speaker 3: heading into the mid terms unless that changes.

456
00:22:05,280 --> 00:22:08,040
Speaker 2: Speaking of dysfunctional government, the government is still shut down

457
00:22:08,680 --> 00:22:13,240
Speaker 2: and there's a big looming question about the troops getting paid.

458
00:22:13,440 --> 00:22:15,679
Speaker 2: Trump is saying that he is thee cured funding for them,

459
00:22:15,800 --> 00:22:18,760
Speaker 2: sort of outside of congressional channels in order to make

460
00:22:18,800 --> 00:22:21,200
Speaker 2: sure that they get this next paycheck. In the meanwhile,

461
00:22:21,840 --> 00:22:23,600
Speaker 2: you know, there's a lot of concern and a lot

462
00:22:23,600 --> 00:22:25,840
Speaker 2: of struggle already. It can take a look at the

463
00:22:26,119 --> 00:22:30,800
Speaker 2: number of service members lined up in this local food bank.

464
00:22:30,880 --> 00:22:31,399
Speaker 4: Let's look at that.

465
00:22:31,680 --> 00:22:34,240
Speaker 7: There is quite a bit of military members and their

466
00:22:34,320 --> 00:22:37,160
Speaker 7: families inline because of this government shutdown.

467
00:22:37,200 --> 00:22:38,359
Speaker 4: We're in day nine of it.

468
00:22:38,520 --> 00:22:41,440
Speaker 3: In there here for a food pantry.

469
00:22:41,119 --> 00:22:43,600
Speaker 7: There's all sorts of food that is available. And I

470
00:22:43,720 --> 00:22:47,399
Speaker 7: spoke with some military members spouses, and I spoke with

471
00:22:47,520 --> 00:22:51,320
Speaker 7: some department heads here at the ASYMCA on why this

472
00:22:51,480 --> 00:22:54,119
Speaker 7: is so important. What's the difference in the amount of

473
00:22:54,200 --> 00:22:56,760
Speaker 7: people that you've seen from today to previously.

474
00:22:57,600 --> 00:23:00,119
Speaker 6: So when we first started coming there definitely wasn't this

475
00:23:00,200 --> 00:23:02,040
Speaker 6: amount of people. It was a lot, but it wasn't

476
00:23:02,080 --> 00:23:05,119
Speaker 6: this amount to where it wrapped around the building. But

477
00:23:05,320 --> 00:23:07,520
Speaker 6: lately it has been a lot. Like we were here

478
00:23:07,640 --> 00:23:10,240
Speaker 6: last week and we were in line for like two hours.

479
00:23:10,359 --> 00:23:12,119
Speaker 3: And in a normal week, we usually run out of

480
00:23:12,160 --> 00:23:14,040
Speaker 3: food about one o'clock in the afternoon.

481
00:23:14,560 --> 00:23:16,720
Speaker 4: Last week, we ran out of food about ten thirty.

482
00:23:17,200 --> 00:23:19,520
Speaker 2: Reminder there too, that the number of service members who

483
00:23:19,600 --> 00:23:22,639
Speaker 2: live paycheck to paycheck, and when they saw like, oh, shoot,

484
00:23:22,720 --> 00:23:25,119
Speaker 2: we may not get paid because Congress made no provision

485
00:23:25,160 --> 00:23:28,440
Speaker 2: for that, you know, are like, we better take advantage

486
00:23:28,480 --> 00:23:31,200
Speaker 2: of whatever resources we possibly can. Let me go out

487
00:23:31,200 --> 00:23:33,880
Speaker 2: and put Trump's truth up on the screen talking about

488
00:23:33,920 --> 00:23:34,720
Speaker 2: how He's going to.

489
00:23:34,960 --> 00:23:35,560
Speaker 4: Pay the troops.

490
00:23:35,600 --> 00:23:38,000
Speaker 2: He says, Chuck Schumer recently said every day gets better

491
00:23:38,119 --> 00:23:41,040
Speaker 2: during their radical left shutdown. I disagree if nothing is

492
00:23:41,119 --> 00:23:42,359
Speaker 2: done because of leader.

493
00:23:42,240 --> 00:23:43,119
Speaker 4: He puts that in quotes.

494
00:23:43,160 --> 00:23:46,000
Speaker 2: Fair enough, Chuck Schumer and the Democrats, our brave troops

495
00:23:46,040 --> 00:23:48,600
Speaker 2: will miss the paychecks they're rightfully due on October fifteenth.

496
00:23:48,960 --> 00:23:51,000
Speaker 2: That is why I'm using my authority as commander in

497
00:23:51,080 --> 00:23:53,520
Speaker 2: Chief to direct our Secretary of War Hegsets, to use

498
00:23:53,560 --> 00:23:56,880
Speaker 2: all available funds to get our troops paid on October fifteenth.

499
00:23:57,240 --> 00:23:59,840
Speaker 2: We have identified funds to do this, Secretary Hegset will

500
00:23:59,920 --> 00:24:01,520
Speaker 2: use them to pay our troops. Will not allow the

501
00:24:01,560 --> 00:24:03,720
Speaker 2: Democrats to hold our military and the entire security of

502
00:24:03,840 --> 00:24:07,000
Speaker 2: our nation hostage with their dangerous government shut down. Radical

503
00:24:07,080 --> 00:24:09,360
Speaker 2: left Democrats should open the government. Then we could work

504
00:24:09,400 --> 00:24:11,800
Speaker 2: together to address healthcare many of the things they want

505
00:24:11,840 --> 00:24:12,400
Speaker 2: to destroy.

506
00:24:12,560 --> 00:24:15,160
Speaker 4: Thank you for your attention to this matter.

507
00:24:16,040 --> 00:24:18,800
Speaker 2: So he's saying they've found some funds that they can

508
00:24:18,840 --> 00:24:21,480
Speaker 2: move around to be able to get this next paycheck

509
00:24:21,520 --> 00:24:24,439
Speaker 2: out to the troops. But you know, I mean, that's

510
00:24:24,480 --> 00:24:27,159
Speaker 2: certainly a band aid at this point, and no telling

511
00:24:27,560 --> 00:24:29,520
Speaker 2: whether or not that would continue to work at the

512
00:24:29,800 --> 00:24:33,920
Speaker 2: next paycheck if this thing continues indefinitely. And meanwhile, many

513
00:24:34,040 --> 00:24:37,680
Speaker 2: federal government, every other federal government worker is not getting paid,

514
00:24:38,000 --> 00:24:40,240
Speaker 2: and russ vote put out floated the idea that maybe

515
00:24:40,280 --> 00:24:43,200
Speaker 2: they wouldn't even get that back pay. This is obviously,

516
00:24:43,400 --> 00:24:45,639
Speaker 2: you know, you're playing with people's lives first of all,

517
00:24:45,760 --> 00:24:48,720
Speaker 2: and second of all, federal government is the largest employer

518
00:24:48,840 --> 00:24:52,720
Speaker 2: in the country, So this also has major potential economic ramification.

519
00:24:53,119 --> 00:24:57,040
Speaker 3: Yeah, And I mean Democrats right now, what is They're

520
00:24:57,080 --> 00:24:59,600
Speaker 3: incentive to come to the table and Republicans incentive to

521
00:24:59,640 --> 00:25:01,720
Speaker 3: come to the Both of them feel as though the

522
00:25:01,800 --> 00:25:05,040
Speaker 3: stronger incentive is to stay away from actually negotiating and

523
00:25:05,320 --> 00:25:08,520
Speaker 3: open the government. And I think the political incentive for

524
00:25:08,600 --> 00:25:10,920
Speaker 3: Democrats is strong. I'm not convinced that they're actually you

525
00:25:11,200 --> 00:25:13,440
Speaker 3: probably agree with this is my suspicion that they're I'm

526
00:25:13,480 --> 00:25:16,320
Speaker 3: not convinced they're making the most of the politics. And

527
00:25:16,680 --> 00:25:19,640
Speaker 3: I'm saying that like downstream or secondary to the substance,

528
00:25:19,680 --> 00:25:22,040
Speaker 3: which is obviously they're people who are not getting paid,

529
00:25:22,560 --> 00:25:25,240
Speaker 3: and Rush Vote is using this. I mean, I think

530
00:25:25,560 --> 00:25:27,760
Speaker 3: according to a court filing on Friday, they've already been

531
00:25:27,800 --> 00:25:32,639
Speaker 3: four thousand layoffs of federal workers. So from the perspective

532
00:25:32,680 --> 00:25:36,960
Speaker 3: of like average normy Democrat, it's starting to look dire

533
00:25:37,160 --> 00:25:39,879
Speaker 3: for how Chuck Schumer and Hakim Jeffries. I mean, if

534
00:25:40,280 --> 00:25:42,240
Speaker 3: if I were average normy Democrat, I would have zero

535
00:25:42,280 --> 00:25:45,320
Speaker 3: confidence in either Truck Schumer Hakim Jeffries at this point

536
00:25:45,440 --> 00:25:47,920
Speaker 3: at all, both on the politics and on the substance.

537
00:25:48,640 --> 00:25:53,280
Speaker 3: Republicans probably understand that they're going to take the blame

538
00:25:54,160 --> 00:25:57,000
Speaker 3: in the media for what happens like these, and to

539
00:25:57,119 --> 00:25:59,440
Speaker 3: some extent they want the blame, like Russ Vote wants

540
00:25:59,520 --> 00:26:01,879
Speaker 3: to say, Yeah, we are the ones who got rid

541
00:26:01,920 --> 00:26:04,959
Speaker 3: of the four thousand federal government employees. So there. I mean,

542
00:26:05,000 --> 00:26:06,879
Speaker 3: I don't think they're super concerned about that. But it

543
00:26:06,960 --> 00:26:10,200
Speaker 3: seems as though Democrats have absolutely no plan to get

544
00:26:10,240 --> 00:26:12,760
Speaker 3: out of the shutdown either because they're the ones withholding

545
00:26:12,760 --> 00:26:14,720
Speaker 3: the votes. I mean, they're the ones who if they vote,

546
00:26:15,359 --> 00:26:17,240
Speaker 3: if they decide to vote on the CR, whether it's

547
00:26:17,240 --> 00:26:19,200
Speaker 3: the clean CR or whether they come to the table

548
00:26:19,359 --> 00:26:23,080
Speaker 3: on healthcare, fine, but there seems to be nothing in

549
00:26:23,119 --> 00:26:24,600
Speaker 3: the works for that either. Yeah.

550
00:26:24,920 --> 00:26:27,280
Speaker 2: I think the Democrats feel pretty strong in their position

551
00:26:27,400 --> 00:26:30,520
Speaker 2: right now because first of all, all the polling that's

552
00:26:30,560 --> 00:26:33,800
Speaker 2: come out, and I mean it's logical Republicans control government

553
00:26:33,880 --> 00:26:35,480
Speaker 2: and so they're shouldering most of the blame for the

554
00:26:35,520 --> 00:26:38,280
Speaker 2: shutdown totally. And then they you know, they certainly feel

555
00:26:38,280 --> 00:26:40,480
Speaker 2: pressured from their base like y'all got to stand up,

556
00:26:40,520 --> 00:26:42,120
Speaker 2: You've got to do something, and then.

557
00:26:42,119 --> 00:26:44,159
Speaker 4: They look so dumb when they're trying to stand up,

558
00:26:44,600 --> 00:26:46,720
Speaker 4: Like I agree, Yeah, they're not. They're not great at it.

559
00:26:46,800 --> 00:26:48,080
Speaker 4: They're definitely not great at it.

560
00:26:48,200 --> 00:26:51,800
Speaker 2: But and then you have, you know, the substance of

561
00:26:51,880 --> 00:26:55,159
Speaker 2: what they're fighting on, these healthcare cuts, and you know,

562
00:26:55,240 --> 00:26:56,920
Speaker 2: the subsidies that are going to go away, and this

563
00:26:57,040 --> 00:26:59,120
Speaker 2: is something else Marjorie Taylor Green has been talking about.

564
00:26:59,400 --> 00:27:02,280
Speaker 2: They feel they are on very strong footing there, especially

565
00:27:02,520 --> 00:27:06,359
Speaker 2: and maybe in particular because the vast majority of the

566
00:27:06,440 --> 00:27:10,720
Speaker 2: recipients of those Obamacare subsidies are in red states, red

567
00:27:10,760 --> 00:27:14,960
Speaker 2: states that didn't expand do the Medicaid expansion. So now

568
00:27:15,000 --> 00:27:17,440
Speaker 2: you have, you know, a disproportionate number of the Trump

569
00:27:17,560 --> 00:27:21,320
Speaker 2: coalition who are dependent on these healthcare subsidies, for whom

570
00:27:21,400 --> 00:27:23,720
Speaker 2: healthcare is just going to I mean, the amount of

571
00:27:23,760 --> 00:27:24,840
Speaker 2: premiums is going to go up.

572
00:27:25,000 --> 00:27:26,040
Speaker 4: It's going to be insane.

573
00:27:26,400 --> 00:27:28,440
Speaker 2: And you had Trump even say something about, you know,

574
00:27:28,480 --> 00:27:30,119
Speaker 2: we got to deal with this healthcare thing, which I

575
00:27:30,160 --> 00:27:31,680
Speaker 2: think they also took as a little bit of a

576
00:27:31,720 --> 00:27:33,919
Speaker 2: crack in the edifice. You've got Marjorie Taylor Green now

577
00:27:33,920 --> 00:27:35,879
Speaker 2: and there is a major crack in the edifice. So

578
00:27:36,000 --> 00:27:38,479
Speaker 2: I think they feel like they're on very strong ground here.

579
00:27:38,560 --> 00:27:40,600
Speaker 2: To your point about like, I don't see any sign

580
00:27:40,960 --> 00:27:43,679
Speaker 2: I was expecting, and I actually think from the beginning

581
00:27:43,760 --> 00:27:46,280
Speaker 2: there was reporting about how Chuck Schumer was looking for

582
00:27:46,400 --> 00:27:49,680
Speaker 2: some kind of an out, and then the majority, not

583
00:27:49,840 --> 00:27:52,600
Speaker 2: just the Democratic base, but the actual Democrats in Congress

584
00:27:52,640 --> 00:27:55,440
Speaker 2: were like, what the fuck, dude, Like, no, you cannot,

585
00:27:55,920 --> 00:27:58,000
Speaker 2: We are not down. We have to actually fight this,

586
00:27:58,600 --> 00:28:02,840
Speaker 2: and especially with you, they're not The Democrats in DC

587
00:28:02,920 --> 00:28:05,480
Speaker 2: aren't connecting this fight to like what's happening in Chicago,

588
00:28:05,520 --> 00:28:08,680
Speaker 2: what's happening in Portland, but the base very much feels activated,

589
00:28:08,760 --> 00:28:11,000
Speaker 2: of course, like seeing those images as well, and it's like,

590
00:28:11,080 --> 00:28:14,360
Speaker 2: you can't fund this government, like they're threatening the Insurrection Act.

591
00:28:14,440 --> 00:28:17,360
Speaker 2: You cannot fund these people. So yeah, I don't see

592
00:28:17,359 --> 00:28:19,080
Speaker 2: any sign that they're going to back down. And then

593
00:28:19,320 --> 00:28:22,000
Speaker 2: the part with the layoffs is kind of I mean,

594
00:28:22,000 --> 00:28:24,479
Speaker 2: it's terrible, it's also kind of politically interesting. We've put

595
00:28:24,520 --> 00:28:27,280
Speaker 2: B three up on the screen RUSS vote making this announcement.

596
00:28:27,320 --> 00:28:29,280
Speaker 2: The rifts have begun and for those who aren't in

597
00:28:29,320 --> 00:28:32,560
Speaker 2: the no, rifts are reductions in force, which.

598
00:28:32,440 --> 00:28:35,879
Speaker 4: Is DC speak for firing people. That's what's going on.

599
00:28:36,119 --> 00:28:39,560
Speaker 2: And we had, as Emily mentioned, put B five actually

600
00:28:39,680 --> 00:28:43,040
Speaker 2: up on the screen. First, you had some four thousand

601
00:28:43,120 --> 00:28:46,800
Speaker 2: workers who were announced as part of these rifts. You

602
00:28:46,880 --> 00:28:49,600
Speaker 2: can see the most coming actually from Treasury and then

603
00:28:49,680 --> 00:28:51,880
Speaker 2: from HHS. We'll talk a little bit more about that

604
00:28:52,000 --> 00:28:55,880
Speaker 2: in a moment. Commerce, education that's another significant one. Energy

605
00:28:56,040 --> 00:28:59,680
Speaker 2: and housing and urban development, and homeland security. That's where

606
00:28:59,760 --> 00:29:02,200
Speaker 2: these layoffs are coming from. Now, they could be challenged

607
00:29:02,200 --> 00:29:05,840
Speaker 2: in courts because there are limits to layoffs that you

608
00:29:05,960 --> 00:29:08,640
Speaker 2: can do during government shutdowns. You're actually supposed to be

609
00:29:08,720 --> 00:29:11,040
Speaker 2: more constrained during government shutdowns about the people that you

610
00:29:11,120 --> 00:29:13,560
Speaker 2: can lay off, So court challenges could be coming to that.

611
00:29:14,040 --> 00:29:17,280
Speaker 2: But we can put before up on the screen. One

612
00:29:17,320 --> 00:29:20,800
Speaker 2: of the places I mentioned HHS was was really hit hard.

613
00:29:21,320 --> 00:29:25,560
Speaker 2: More than one thousand CDC staff originally received layoff notices

614
00:29:25,680 --> 00:29:28,640
Speaker 2: during the government shutdown. And you know, some of these

615
00:29:28,680 --> 00:29:30,400
Speaker 2: are really the type of people that I would think

616
00:29:30,480 --> 00:29:33,200
Speaker 2: that you would run around, they said, including in units

617
00:29:33,240 --> 00:29:36,520
Speaker 2: that respond to infectious disease outbreaks, analyze science, and helped

618
00:29:36,520 --> 00:29:39,080
Speaker 2: adda developed policy monitor the safety of employees.

619
00:29:39,920 --> 00:29:41,760
Speaker 4: Among those who initially received.

620
00:29:41,440 --> 00:29:45,800
Speaker 2: Those layoff notices was leaders of the CDC's response to

621
00:29:45,880 --> 00:29:49,000
Speaker 2: growing number of measle cases in the US and abroad,

622
00:29:49,360 --> 00:29:52,040
Speaker 2: including one official has more than twenty eight years experience

623
00:29:52,120 --> 00:29:55,160
Speaker 2: overseeing a dozen federal agencies that have responded to outbreaks

624
00:29:55,240 --> 00:29:59,840
Speaker 2: of ebola, Marburg virus, and empos in Africa over the years.

625
00:30:00,920 --> 00:30:02,320
Speaker 3: Well, lo and behold.

626
00:30:02,640 --> 00:30:07,400
Speaker 2: After this mass layoff, the Trump administration realized, like, you know,

627
00:30:08,280 --> 00:30:10,840
Speaker 2: some of these people, maybe this is going to be

628
00:30:10,880 --> 00:30:13,760
Speaker 2: a problem for us if we keep them laid off

629
00:30:14,080 --> 00:30:16,560
Speaker 2: so we could put the next element back on the screen.

630
00:30:16,760 --> 00:30:20,720
Speaker 2: Some of them were brought back on Saturdays. Trump administration

631
00:30:20,880 --> 00:30:22,960
Speaker 2: race to rescind layoffs of hundreds of scientists at the

632
00:30:23,040 --> 00:30:26,280
Speaker 2: CDC who were mistakenly fired on Friday night would appear

633
00:30:26,320 --> 00:30:30,160
Speaker 2: to be a substantial procedural lapse. Among those rapidly wrongly

634
00:30:30,240 --> 00:30:33,520
Speaker 2: dismissed were the top two leaders of that federal measles

635
00:30:33,560 --> 00:30:37,120
Speaker 2: response team, those working to contain Ebola and congo, members

636
00:30:37,160 --> 00:30:39,520
Speaker 2: of the Epidemic Intelligence Service, and the team that assembles

637
00:30:39,560 --> 00:30:42,360
Speaker 2: the CDC's Wanted Scientific Journal. The reason I think this

638
00:30:42,560 --> 00:30:45,400
Speaker 2: is interesting, Emily is obviously I want these people to

639
00:30:45,480 --> 00:30:48,000
Speaker 2: be doing the jobs containing measles and ebola and whatnot.

640
00:30:48,440 --> 00:30:52,240
Speaker 2: But also the political assumption from the Republicans is that

641
00:30:52,360 --> 00:30:55,760
Speaker 2: these layoffs are just meant to hurt Democrats like Democrats

642
00:30:55,800 --> 00:30:58,200
Speaker 2: like the CDC. Democrats like the Department of Education. So

643
00:30:58,240 --> 00:31:01,720
Speaker 2: if we make these cuts that just hurt them, it's like, well, yeah,

644
00:31:01,800 --> 00:31:04,360
Speaker 2: they don't want government workers to be laid off, but

645
00:31:04,520 --> 00:31:08,120
Speaker 2: this is still your government, Like, this is your administration

646
00:31:08,760 --> 00:31:12,160
Speaker 2: that you're gutting and defenestrating and make it impossible to

647
00:31:12,400 --> 00:31:14,960
Speaker 2: you know, respond to crises like the measles crisis or

648
00:31:15,120 --> 00:31:18,000
Speaker 2: you know, potential hurricane response and things like that. So

649
00:31:18,400 --> 00:31:20,720
Speaker 2: it's not it doesn't all cut in the direction of

650
00:31:20,800 --> 00:31:24,880
Speaker 2: Democrats being upset about this. This also creates additional political

651
00:31:24,920 --> 00:31:27,040
Speaker 2: problems for the Trump administration. We could see that from

652
00:31:27,080 --> 00:31:30,760
Speaker 2: the fallout from Doge, Like there's a reason that Doge

653
00:31:30,840 --> 00:31:33,120
Speaker 2: kind of ran aground because.

654
00:31:33,160 --> 00:31:34,480
Speaker 4: The cuts felt cruel.

655
00:31:35,160 --> 00:31:37,400
Speaker 2: It was clear to people that you were hurting services

656
00:31:37,440 --> 00:31:39,480
Speaker 2: that they relied on, and so it came with the

657
00:31:39,520 --> 00:31:41,560
Speaker 2: political price for Republicans as well.

658
00:31:41,760 --> 00:31:44,720
Speaker 3: Yeah, it'll definitely have a political price. I mean, it's

659
00:31:44,840 --> 00:31:48,320
Speaker 3: unclear to me whether these rules survive in court. I

660
00:31:48,360 --> 00:31:51,800
Speaker 3: think the law is actually like pretty I could genuinely

661
00:31:51,880 --> 00:31:53,840
Speaker 3: see it being interpreted one or the other. I don't

662
00:31:53,880 --> 00:31:56,120
Speaker 3: have like the full precedent.

663
00:31:56,640 --> 00:31:58,360
Speaker 4: Yeah, I'm not an expert on it either.

664
00:31:58,440 --> 00:32:00,120
Speaker 3: But yeah, I don't want to dig into it. Like

665
00:32:00,560 --> 00:32:03,840
Speaker 3: you understand why if you're russ Vote and you have

666
00:32:04,200 --> 00:32:07,360
Speaker 3: a sort of long time ideological commitment to shrinking the

667
00:32:07,440 --> 00:32:09,440
Speaker 3: size of the federal government, you look at that and

668
00:32:09,520 --> 00:32:12,000
Speaker 3: you can say, actually, this is a law that could

669
00:32:12,080 --> 00:32:14,400
Speaker 3: be used in one way or the other. That's where

670
00:32:14,600 --> 00:32:17,240
Speaker 3: your point about the political consequences. It's where you're seeing

671
00:32:17,520 --> 00:32:21,200
Speaker 3: Trump move really quickly on getting the troops paid for example,

672
00:32:21,320 --> 00:32:24,960
Speaker 3: like that's you can that's happening right away immediately. But

673
00:32:25,320 --> 00:32:28,320
Speaker 3: the reason that Elon's alonger part of DOGE is that

674
00:32:29,000 --> 00:32:33,480
Speaker 3: people felt that his approach was totally haphazard, which obviously

675
00:32:33,520 --> 00:32:37,280
Speaker 3: it was and ineffective, and everyone sort of secretly wanted

676
00:32:37,360 --> 00:32:39,600
Speaker 3: russ Vote to be the one who was doing some

677
00:32:39,800 --> 00:32:42,600
Speaker 3: version of Doge. And here because of the shutdown and

678
00:32:42,680 --> 00:32:47,600
Speaker 3: because of the law that demands the government actually reduced

679
00:32:47,640 --> 00:32:51,080
Speaker 3: the spending. If there's a shutdown, then it's sort of like, hey,

680
00:32:51,200 --> 00:32:54,240
Speaker 3: here's the opportunity for russ Vote to do some type

681
00:32:54,240 --> 00:32:58,000
Speaker 3: of dose two point zero. So I mean, his argument

682
00:32:58,360 --> 00:33:01,520
Speaker 3: is that you can do these like that it won't

683
00:33:01,560 --> 00:33:06,240
Speaker 3: defenestrate the administration because these are reductive positions and all

684
00:33:06,320 --> 00:33:09,200
Speaker 3: of that. But right now it's I think it's actually

685
00:33:09,280 --> 00:33:12,200
Speaker 3: unclear as to whether this is a negotiating tactic to

686
00:33:12,440 --> 00:33:15,680
Speaker 3: like squeeze Democrats to come to the table, or if

687
00:33:15,720 --> 00:33:17,720
Speaker 3: it's they actually think this will survive in court. I

688
00:33:17,760 --> 00:33:19,200
Speaker 3: don't know, because when I look at the law, I

689
00:33:19,240 --> 00:33:20,880
Speaker 3: think this actually could survive in court.

690
00:33:21,080 --> 00:33:24,320
Speaker 2: But I mean, the Supreme Court has given them everything

691
00:33:24,360 --> 00:33:26,960
Speaker 2: they've wanted by and large up to this point anyway,

692
00:33:27,400 --> 00:33:29,920
Speaker 2: mostly through so nobody's really ever done this, mostly through

693
00:33:29,960 --> 00:33:32,440
Speaker 2: the shadow Talcket. But you know, in terms of like

694
00:33:33,280 --> 00:33:36,600
Speaker 2: the Department of Education, which we could put B seven

695
00:33:36,680 --> 00:33:38,800
Speaker 2: up on the screen. They you know, they as part

696
00:33:38,920 --> 00:33:42,480
Speaker 2: of these riffs, they got rid of the entire special

697
00:33:42,600 --> 00:33:45,920
Speaker 2: Education Department, which really, I mean that really bothers me.

698
00:33:46,120 --> 00:33:47,120
Speaker 4: And I don't know.

699
00:33:47,200 --> 00:33:48,880
Speaker 2: I was just thinking back Emily of like the Sarah

700
00:33:48,920 --> 00:33:52,080
Speaker 2: Palin era Republicans where they made you know, children with

701
00:33:52,160 --> 00:33:56,240
Speaker 2: disabilities like a real priority and you know, as a

702
00:33:56,600 --> 00:34:00,000
Speaker 2: pushback to what they would see as like the eugenics policy,

703
00:34:00,080 --> 00:34:02,960
Speaker 2: ease of pro choice people, and you know, the argument

704
00:34:03,080 --> 00:34:06,640
Speaker 2: that a lot of babies with disabilities are aboard, and

705
00:34:06,800 --> 00:34:08,560
Speaker 2: so there was this emphasis on so we have to

706
00:34:08,600 --> 00:34:11,200
Speaker 2: take care of these, you know, these children whose lives

707
00:34:11,200 --> 00:34:13,520
Speaker 2: are just as valuable and just as important as anyone else.

708
00:34:13,600 --> 00:34:16,840
Speaker 2: So I don't know, this does really really bother me.

709
00:34:17,000 --> 00:34:20,400
Speaker 2: But the thing that I would say about the overall

710
00:34:20,480 --> 00:34:22,160
Speaker 2: cuts and whether they'll be able to get away with it,

711
00:34:22,200 --> 00:34:23,920
Speaker 2: I mean, I think they probably will, because they had

712
00:34:23,920 --> 00:34:26,320
Speaker 2: already got to their Apartment of Education and said that

713
00:34:26,360 --> 00:34:29,759
Speaker 2: they're basically like winding it down. Well, you like, it's

714
00:34:29,920 --> 00:34:33,960
Speaker 2: very obvious legally in the past that would not be allowed.

715
00:34:34,200 --> 00:34:36,319
Speaker 2: This is a an agency that was created by an

716
00:34:36,360 --> 00:34:39,000
Speaker 2: Act of Congress. It can't be destroyed without another Act

717
00:34:39,040 --> 00:34:42,800
Speaker 2: of Congress. But the Supreme Court has not ruled on

718
00:34:42,920 --> 00:34:45,600
Speaker 2: the merits on these things. But it basically said, well,

719
00:34:45,640 --> 00:34:47,560
Speaker 2: for now, you can do it, and that just makes

720
00:34:47,920 --> 00:34:50,320
Speaker 2: that basically means you can do it. And so I

721
00:34:50,480 --> 00:34:53,279
Speaker 2: would expect it to be something similar here. You know,

722
00:34:53,360 --> 00:34:55,840
Speaker 2: they've done something similar with regard to what's called recision.

723
00:34:55,920 --> 00:35:00,719
Speaker 2: So basically the administration not wanting to spend funds that

724
00:35:00,800 --> 00:35:05,120
Speaker 2: were congressionally appropriated, and so the Supreme Court hasn't ruled

725
00:35:05,120 --> 00:35:06,920
Speaker 2: on the merits of that. It's a big one, but

726
00:35:07,239 --> 00:35:11,120
Speaker 2: they're just letting the administration go forward with it, using

727
00:35:11,200 --> 00:35:14,080
Speaker 2: the shadow docket to not really make a decision, but

728
00:35:14,320 --> 00:35:16,360
Speaker 2: let them have a free hand to do whatever it

729
00:35:16,520 --> 00:35:19,320
Speaker 2: is they want, which also sort of screws up the

730
00:35:19,400 --> 00:35:22,920
Speaker 2: ability to make any sort of deal with Democrats because,

731
00:35:23,600 --> 00:35:26,759
Speaker 2: based on the current legal landscape, Trump could come so, oh, sure,

732
00:35:26,760 --> 00:35:29,799
Speaker 2: I'll give you your health care subsidies, and then they

733
00:35:30,640 --> 00:35:32,359
Speaker 2: fund the government and go back to work, and then

734
00:35:32,400 --> 00:35:34,320
Speaker 2: it's like, ah, no, we're actually not going to do that,

735
00:35:34,520 --> 00:35:37,200
Speaker 2: and there's nothing to stop him from that because of

736
00:35:37,280 --> 00:35:40,120
Speaker 2: the Supreme Court basically abdicating their duty to rule on

737
00:35:40,239 --> 00:35:42,560
Speaker 2: these cases. So it does also make it, you know,

738
00:35:42,680 --> 00:35:44,960
Speaker 2: complicated in terms of striking a deal. One other thing

739
00:35:45,000 --> 00:35:47,399
Speaker 2: I'll say about I think the way Democrats are looking

740
00:35:47,440 --> 00:35:52,279
Speaker 2: at this is, yes, Doge has sort of run aground. Yes,

741
00:35:52,360 --> 00:35:56,160
Speaker 2: there'd been less energy around gutting the federal workforce over

742
00:35:56,200 --> 00:35:57,840
Speaker 2: the past couple of weeks. But it's not like that

743
00:35:58,040 --> 00:36:01,000
Speaker 2: any of that had stopped. We just had one hundred

744
00:36:01,120 --> 00:36:03,680
Speaker 2: thousand workers who took the fork of the road deal,

745
00:36:04,040 --> 00:36:07,279
Speaker 2: you know, officially resign what was that a week ago?

746
00:36:07,920 --> 00:36:10,800
Speaker 2: So I think Democrats, I don't think this threat is

747
00:36:10,880 --> 00:36:12,879
Speaker 2: as effective because they feel like, well, y'all were doing

748
00:36:12,960 --> 00:36:15,040
Speaker 2: this anyway, like there was nothing stopping you from doing

749
00:36:15,080 --> 00:36:18,080
Speaker 2: this anyway. This was all what was going on anyway.

750
00:36:18,560 --> 00:36:21,520
Speaker 2: So Okay, you caught four thousand more people. That's terrible,

751
00:36:21,560 --> 00:36:24,280
Speaker 2: that looks really bad for you, But we don't particularly

752
00:36:24,400 --> 00:36:25,960
Speaker 2: feel more pressure around that.

753
00:36:26,560 --> 00:36:29,399
Speaker 3: Yeah, And I mean, as long as to your point

754
00:36:29,400 --> 00:36:32,640
Speaker 3: about Democrats feeling confident in their leverage or the reason

755
00:36:32,680 --> 00:36:34,919
Speaker 3: that they're holding out on the shutdown because it's these

756
00:36:35,000 --> 00:36:38,200
Speaker 3: healthcare subsidies that as Marjorie Taylor Green has been saying,

757
00:36:39,200 --> 00:36:42,160
Speaker 3: and we actually have this video right Crystal that we'll

758
00:36:42,200 --> 00:36:45,640
Speaker 3: play it. We'll play the Marjorie Taylor Green video and

759
00:36:45,719 --> 00:36:47,239
Speaker 3: I think the next block we have her.

760
00:36:47,320 --> 00:36:49,640
Speaker 4: On immigration, right, didn't pull her healthcare part.

761
00:36:49,760 --> 00:36:51,279
Speaker 3: But yeah, So she was on Tim Dillan over the

762
00:36:51,320 --> 00:36:53,880
Speaker 3: weekend basically and fleshed out more of this point that

763
00:36:53,960 --> 00:36:56,799
Speaker 3: she's been making on CNN in other places about why

764
00:36:56,840 --> 00:37:01,680
Speaker 3: the Trump administration is sort of missed the big picture

765
00:37:01,719 --> 00:37:03,680
Speaker 3: of the day to day average American chooses her own

766
00:37:03,800 --> 00:37:06,080
Speaker 3: kids as an example, we're going to see their premiums

767
00:37:06,120 --> 00:37:10,279
Speaker 3: double because of the Biden twenty twenty one subsidies being

768
00:37:10,760 --> 00:37:12,320
Speaker 3: lapsing at the end of the year, expiring at the

769
00:37:12,400 --> 00:37:14,200
Speaker 3: end of the year. That like the for the average

770
00:37:14,200 --> 00:37:16,959
Speaker 3: person kind of sounded like she'd been listening to our shows,

771
00:37:17,000 --> 00:37:19,680
Speaker 3: to be honest, Crystal, because the point that she makes

772
00:37:19,880 --> 00:37:24,719
Speaker 3: she should invitations open. That's right, it's an inbox. But

773
00:37:25,360 --> 00:37:28,279
Speaker 3: and the DM box actually, But all that is to say,

774
00:37:28,400 --> 00:37:31,160
Speaker 3: this argument about short term pain with the promise of

775
00:37:31,440 --> 00:37:34,320
Speaker 3: a long term fix, like some long term like Republicans

776
00:37:34,360 --> 00:37:37,120
Speaker 3: eventually will have the structural free market fixed to healthcare.

777
00:37:37,640 --> 00:37:41,000
Speaker 3: Just you know, trust the Republican Party. Let those subsidies lapse.

778
00:37:41,160 --> 00:37:43,880
Speaker 3: Pay double in your monthly premiums. Everything's going like that

779
00:37:44,040 --> 00:37:46,920
Speaker 3: is an insane argument to make. The other hand, for

780
00:37:47,080 --> 00:37:51,520
Speaker 3: Republicans to come to the table with Democrats on healthcare

781
00:37:51,560 --> 00:37:54,440
Speaker 3: subsidies for non citizens is also like Republicans are not

782
00:37:54,440 --> 00:37:56,239
Speaker 3: going to do that. They've zero incentive to do that.

783
00:37:56,320 --> 00:37:59,600
Speaker 3: So until Democrats drop that, nobody has incentive to come

784
00:37:59,600 --> 00:38:02,160
Speaker 3: to the table right now, So everything is pointing to

785
00:38:02,480 --> 00:38:05,279
Speaker 3: a continuing shutdown going further and further, and some of it,

786
00:38:05,760 --> 00:38:08,839
Speaker 3: like for example, the special education cuts they are trying

787
00:38:08,880 --> 00:38:11,920
Speaker 3: to transition the Department of Education. Basically it was already

788
00:38:12,280 --> 00:38:14,240
Speaker 3: the bulk of what it was doing was administering grants,

789
00:38:14,280 --> 00:38:16,759
Speaker 3: and like overseeing civil rights civil rights stuff is going

790
00:38:16,800 --> 00:38:20,120
Speaker 3: to DJ. Overseeing of the grants, including these special education grants,

791
00:38:20,160 --> 00:38:21,400
Speaker 3: goes to the Treasury Department.

792
00:38:21,920 --> 00:38:25,319
Speaker 4: So again in theory, but that hasn't happened yet.

793
00:38:25,360 --> 00:38:27,440
Speaker 3: And I was gonna say, yeah, I was gonna say,

794
00:38:27,440 --> 00:38:29,160
Speaker 3: like with the same thing that we were talking about

795
00:38:29,239 --> 00:38:31,320
Speaker 3: the tariff policy earlier in the show, which is that

796
00:38:31,480 --> 00:38:33,560
Speaker 3: like in theory, there is a way to do this

797
00:38:33,840 --> 00:38:37,640
Speaker 3: right coherent, it makes sense and would be a bitter

798
00:38:37,760 --> 00:38:40,319
Speaker 3: pill for the neoliberals to swallow. And in the same

799
00:38:40,400 --> 00:38:43,600
Speaker 3: way with like the theory of doge could be a

800
00:38:43,640 --> 00:38:48,080
Speaker 3: bitter pill for like the the federal unions to swallow

801
00:38:48,239 --> 00:38:50,400
Speaker 3: and the quote swamp to swallow and all of that.

802
00:38:51,080 --> 00:38:53,400
Speaker 3: But then you have to actually see it working in

803
00:38:53,480 --> 00:38:55,480
Speaker 3: a way that makes sense well.

804
00:38:55,520 --> 00:38:57,960
Speaker 4: And actually Treasury was the department that gout cut the most.

805
00:38:57,920 --> 00:39:02,760
Speaker 3: Sore in the grants now and I have a few people.

806
00:39:02,560 --> 00:39:04,279
Speaker 4: To be able to do that.

807
00:39:04,520 --> 00:39:07,400
Speaker 2: Yeah, let me just play this last piece from speaker

808
00:39:07,480 --> 00:39:09,520
Speaker 2: Mike Johnson, because this will actually set us up well

809
00:39:09,640 --> 00:39:12,360
Speaker 2: for some of the stuff that's going on in Chicago

810
00:39:13,239 --> 00:39:16,360
Speaker 2: talking about the Democrats and describing so there's this upcoming,

811
00:39:17,120 --> 00:39:20,680
Speaker 2: there's a No King's Protest two point zero coming up

812
00:39:21,080 --> 00:39:23,400
Speaker 2: that they're trying to classify as some sort of like

813
00:39:23,560 --> 00:39:26,480
Speaker 2: domestic terror event. Now, we covered the No King's protest

814
00:39:26,560 --> 00:39:30,160
Speaker 2: here last time, very large, very widespread.

815
00:39:29,880 --> 00:39:30,760
Speaker 4: Entirely peaceful.

816
00:39:30,960 --> 00:39:33,799
Speaker 2: There were zero acts of even like property damage at

817
00:39:33,880 --> 00:39:36,720
Speaker 2: least that I'm aware of, and it was mostly actually

818
00:39:36,840 --> 00:39:39,400
Speaker 2: kind of like it was sort of like boomer Democrats

819
00:39:39,640 --> 00:39:41,680
Speaker 2: or it was less. You know, most of the youthful

820
00:39:41,840 --> 00:39:44,719
Speaker 2: energy on the left is around has been around Palestine.

821
00:39:45,480 --> 00:39:48,040
Speaker 2: This was more of I guess the kind of like

822
00:39:48,480 --> 00:39:51,760
Speaker 2: traditional like backbone of the Democratic Party type of people,

823
00:39:52,680 --> 00:39:53,400
Speaker 2: not Antifa.

824
00:39:53,520 --> 00:39:54,600
Speaker 4: I guess that's what I'm trying.

825
00:39:54,400 --> 00:39:55,800
Speaker 3: To a women's marchie.

826
00:39:55,960 --> 00:39:58,239
Speaker 4: Yeah, yeah, that's a that's a good way of describing so.

827
00:39:58,360 --> 00:40:02,840
Speaker 2: And in any case, here's speaker Mike Johnson describing this

828
00:40:03,239 --> 00:40:08,040
Speaker 2: total like live resistance protest as being a hate America rally.

829
00:40:08,440 --> 00:40:10,640
Speaker 8: We're so angry about it. I mean, you know, I'm

830
00:40:10,640 --> 00:40:13,160
Speaker 8: a very patient guy, but I have had it with

831
00:40:13,280 --> 00:40:16,200
Speaker 8: these people. They're playing games with real people's lives. The

832
00:40:16,320 --> 00:40:19,560
Speaker 8: theory we have right now, they have a Hate America

833
00:40:19,960 --> 00:40:22,799
Speaker 8: rally that's scheduled for October eighteenth on the National Mall.

834
00:40:23,120 --> 00:40:25,400
Speaker 8: It's all the pro Hamas wing and the you know,

835
00:40:25,520 --> 00:40:28,680
Speaker 8: the ANTIFA people. They're all coming out. Some of the

836
00:40:28,719 --> 00:40:31,200
Speaker 8: House Democrats are selling t shirts for the event, and

837
00:40:31,280 --> 00:40:35,040
Speaker 8: it's being told to us that they won't be able

838
00:40:35,080 --> 00:40:37,400
Speaker 8: to reopen the government until after that rally because they

839
00:40:37,480 --> 00:40:38,920
Speaker 8: can't face their rabid.

840
00:40:38,719 --> 00:40:41,840
Speaker 2: Base Hate America rally. That's how he's classifying it.

841
00:40:41,960 --> 00:40:44,600
Speaker 3: I mean, from a political standpoint, it makes complete sense

842
00:40:44,640 --> 00:40:46,640
Speaker 3: that this is how Republicans are spinning it. It's funny

843
00:40:46,680 --> 00:40:50,200
Speaker 3: for me because Mike Johnson is like it was kind

844
00:40:50,200 --> 00:40:54,560
Speaker 3: of Freedom Caucus adjacent, and Republicans like this is all

845
00:40:55,040 --> 00:40:58,120
Speaker 3: tongue in cheek because they were the ones who were

846
00:40:58,200 --> 00:41:01,439
Speaker 3: intentionally shutting down the government and defending it for years

847
00:41:01,480 --> 00:41:05,160
Speaker 3: by withholding their votes. And that's technically the argument for

848
00:41:05,280 --> 00:41:08,719
Speaker 3: blaming Republicans for government shutdowns over the last ten plus

849
00:41:08,840 --> 00:41:11,320
Speaker 3: years has been that they were the ones withholding their votes,

850
00:41:11,600 --> 00:41:14,280
Speaker 3: which is a fair criteria if you apply it across

851
00:41:14,320 --> 00:41:16,760
Speaker 3: the board. Now the media has not applied it across

852
00:41:16,800 --> 00:41:18,960
Speaker 3: the board. In the case with Democrats. Is not to

853
00:41:19,040 --> 00:41:22,000
Speaker 3: say that anybody like this. There are different arguments for

854
00:41:22,080 --> 00:41:24,120
Speaker 3: shutting down the government. I have said over and over

855
00:41:24,120 --> 00:41:25,960
Speaker 3: again that the incentive for Democrats to shut down the

856
00:41:26,000 --> 00:41:27,719
Speaker 3: government here we were just talking about this Crystal is

857
00:41:27,800 --> 00:41:31,319
Speaker 3: absolutely obvious. Yeah, it's in arguable. It would have been

858
00:41:31,360 --> 00:41:33,359
Speaker 3: stupid for them to come to the table and make

859
00:41:33,400 --> 00:41:36,239
Speaker 3: a deal right away. From a political standpoint, that would

860
00:41:36,239 --> 00:41:38,320
Speaker 3: have been stupid. I thought the same thing about Republicans

861
00:41:38,400 --> 00:41:40,600
Speaker 3: during the Tea Party years. It's just funny then to

862
00:41:40,640 --> 00:41:43,640
Speaker 3: see Republicans have the moral high ground, like play act

863
00:41:43,719 --> 00:41:45,759
Speaker 3: as though they have the moral high ground and be like, listen,

864
00:41:46,640 --> 00:41:50,120
Speaker 3: very important things are just people need the federal government

865
00:41:50,200 --> 00:41:52,839
Speaker 3: to work. It's very reckless and irresponsible to close down

866
00:41:52,880 --> 00:41:53,720
Speaker 3: the federal government.

867
00:41:53,760 --> 00:41:56,239
Speaker 2: The best messengers for that while they're like the end,

868
00:41:56,280 --> 00:41:58,919
Speaker 2: we're cutting pediatric cancer research by the way, I mean.

869
00:41:58,840 --> 00:42:02,600
Speaker 3: It's just like they it's so stupid, Like it's also

870
00:42:02,719 --> 00:42:05,040
Speaker 3: it's just shutdowns of the dumbest thing in government. It

871
00:42:05,080 --> 00:42:05,399
Speaker 3: makes sense.

872
00:42:05,640 --> 00:42:08,320
Speaker 2: And it's also like I don't know, from the republican's perspective'

873
00:42:08,320 --> 00:42:09,960
Speaker 2: almost sort of like why don't you just give them

874
00:42:10,000 --> 00:42:13,040
Speaker 2: the healthcare subsidies? Like this is a political major political

875
00:42:13,040 --> 00:42:17,960
Speaker 2: problem for Republicans that Trump's polster Fabrizio said, you have

876
00:42:18,080 --> 00:42:21,000
Speaker 2: a looming major issue with this, and so you know

877
00:42:21,440 --> 00:42:25,000
Speaker 2: they I think again, Margie Chailli Greena, I'm sure it's

878
00:42:25,000 --> 00:42:28,839
Speaker 2: not the only one who recognizes we ran. I think

879
00:42:28,920 --> 00:42:32,799
Speaker 2: Trump really genuinely won primarily on cost of living, right,

880
00:42:32,920 --> 00:42:34,719
Speaker 2: That was the you know, there were others, just two

881
00:42:34,719 --> 00:42:36,440
Speaker 2: we're about to talk about immigration or whatever. There were

882
00:42:36,480 --> 00:42:39,880
Speaker 2: other things, but it was like, things are too expensive.

883
00:42:40,360 --> 00:42:42,920
Speaker 2: My life has gotten worse because I cannot afford the

884
00:42:43,200 --> 00:42:45,000
Speaker 2: groceries the way that I used to, can't.

885
00:42:44,840 --> 00:42:46,719
Speaker 4: Afford the rent. I can never buy a house.

886
00:42:47,080 --> 00:42:51,320
Speaker 2: Like the cost of living crisis really animated his election,

887
00:42:51,960 --> 00:42:55,120
Speaker 2: and you are going in the polar opposite direction of that,

888
00:42:55,440 --> 00:42:58,759
Speaker 2: Like people's premiums. Are millions of people's premiums about to

889
00:42:58,760 --> 00:43:01,680
Speaker 2: spike a lollillions of people will not be able to

890
00:43:01,800 --> 00:43:06,120
Speaker 2: afford healthcare if these subsidies you know, are taken away

891
00:43:06,440 --> 00:43:09,520
Speaker 2: and you already had the cuts from the big beautiful

892
00:43:09,560 --> 00:43:11,680
Speaker 2: bill that's going to kick millions of people have the

893
00:43:11,760 --> 00:43:14,680
Speaker 2: effect of kicking millions of people off of Medicaid.

894
00:43:15,160 --> 00:43:16,839
Speaker 4: So what are you doing here?

895
00:43:16,920 --> 00:43:18,759
Speaker 2: And by the way, you know Obviously the terriffs that

896
00:43:18,760 --> 00:43:20,960
Speaker 2: we talked about before like also cut in the opposite

897
00:43:21,040 --> 00:43:24,400
Speaker 2: direction of making life more affordable for your average person.

898
00:43:24,840 --> 00:43:27,880
Speaker 2: So it is a major political liability here that in

899
00:43:27,960 --> 00:43:30,160
Speaker 2: a sense Democrats are like trying to save them from

900
00:43:30,239 --> 00:43:34,359
Speaker 2: them themselves on but they're so adamant about not giving

901
00:43:34,480 --> 00:43:37,600
Speaker 2: the even the appearance of a win to Democrats that

902
00:43:37,880 --> 00:43:41,600
Speaker 2: they're unwilling to you know, their line is basically like, oh, sure,

903
00:43:41,680 --> 00:43:43,239
Speaker 2: we'll deal with that, but first you have to fund

904
00:43:43,280 --> 00:43:45,800
Speaker 2: the government. And I think for most people to the

905
00:43:45,840 --> 00:43:47,880
Speaker 2: extent that they're tuned into this like the ins and

906
00:43:47,960 --> 00:43:49,439
Speaker 2: outs of this at all, or like, well that doesn't

907
00:43:49,480 --> 00:43:51,239
Speaker 2: mean why not just deal with it now, right?

908
00:43:51,520 --> 00:43:53,640
Speaker 4: Why why do we have to wait and take your

909
00:43:53,640 --> 00:43:54,080
Speaker 4: word for it?

910
00:43:54,120 --> 00:43:56,279
Speaker 2: Which Democrats are definitely not going to take their word

911
00:43:56,640 --> 00:43:58,520
Speaker 2: that they're then going to negotiate and fix this problem

912
00:43:58,560 --> 00:43:59,000
Speaker 2: down the road.

913
00:43:59,120 --> 00:44:00,920
Speaker 3: Well in REPUBLICA one thing that they have to be

914
00:44:01,120 --> 00:44:05,240
Speaker 3: really careful about because if this is the political conclusion

915
00:44:05,280 --> 00:44:07,479
Speaker 3: of the shutdown is like, again, I think Republicans would

916
00:44:07,480 --> 00:44:09,640
Speaker 3: be insane to give Dems what they want right now

917
00:44:09,960 --> 00:44:13,840
Speaker 3: on this question of subsidies, any subsidies going to non citizens,

918
00:44:13,920 --> 00:44:16,680
Speaker 3: just because the non citizen population has particularly exploded in

919
00:44:16,680 --> 00:44:19,560
Speaker 3: the last few years and the Republicans basically furious about that,

920
00:44:19,640 --> 00:44:21,640
Speaker 3: so the political incentives are not aligned for them to

921
00:44:21,719 --> 00:44:24,040
Speaker 3: come to the table on that. What Democrats can do,

922
00:44:24,600 --> 00:44:26,959
Speaker 3: after it feels like this thing is running its course

923
00:44:27,120 --> 00:44:29,680
Speaker 3: is come to the table and say we would we

924
00:44:30,360 --> 00:44:33,600
Speaker 3: want Republicans, we want to agree with Republicans that we

925
00:44:33,960 --> 00:44:37,719
Speaker 3: need these healthcare subsidies almost just going to us citizens,

926
00:44:37,840 --> 00:44:40,279
Speaker 3: like of course, like that is a responsible thing to do,

927
00:44:41,040 --> 00:44:44,600
Speaker 3: and then it will just be about the subsidies. As

928
00:44:44,640 --> 00:44:46,920
Speaker 3: soon as Dems given on that, it's just going to

929
00:44:46,960 --> 00:44:50,520
Speaker 3: be Republicans looking like they're saying no to those subsidies.

930
00:44:50,719 --> 00:44:54,360
Speaker 3: And so when that moment comes, like that could be

931
00:44:54,600 --> 00:44:58,799
Speaker 3: genuinely I think shutdowns don't matter in the mid terms, Yes, yeah,

932
00:44:58,880 --> 00:45:02,160
Speaker 3: but as soon as people premium spike next year, duns

933
00:45:02,160 --> 00:45:04,200
Speaker 3: will have a huge talking point over and over again

934
00:45:04,600 --> 00:45:06,200
Speaker 3: that this is what it was about. Ye on the

935
00:45:06,480 --> 00:45:08,839
Speaker 3: point that you were making about Trump winning on cost

936
00:45:08,880 --> 00:45:11,400
Speaker 3: of living. Another thing the right forgets is that a

937
00:45:11,480 --> 00:45:13,719
Speaker 3: lot of the cultural stuff was combined with the cost

938
00:45:13,760 --> 00:45:16,200
Speaker 3: of living stuff because it made Dems look frivolous to

939
00:45:16,320 --> 00:45:20,200
Speaker 3: be talking about identity politics when people were struggling, And

940
00:45:20,320 --> 00:45:23,279
Speaker 3: so it gets to that again where like, yes, a

941
00:45:23,360 --> 00:45:24,840
Speaker 3: lot of the country some of these things are like

942
00:45:24,920 --> 00:45:28,440
Speaker 3: eighty twenty issues on culture stuff. But if you look

943
00:45:28,520 --> 00:45:31,000
Speaker 3: like you're obsessed with culture stuff and not obsessed with

944
00:45:31,080 --> 00:45:32,960
Speaker 3: cost of living stuff, which is what the Dems looked

945
00:45:33,000 --> 00:45:36,480
Speaker 3: like under Biden, that does become a problem. If you

946
00:45:36,600 --> 00:45:41,120
Speaker 3: look like you're obsessed with these like ideological generational ideological

947
00:45:41,200 --> 00:45:44,680
Speaker 3: goals of like defenistrating the administrative state that don't register

948
00:45:44,960 --> 00:45:47,840
Speaker 3: with normy voters outside of your hardcore base, that is

949
00:45:47,880 --> 00:45:51,160
Speaker 3: a problem. And so it's I mean that they should

950
00:45:51,160 --> 00:45:53,840
Speaker 3: be aware that Dems probably will come to the table

951
00:45:54,160 --> 00:45:58,000
Speaker 3: on that question of healthcare for people who are here,

952
00:45:58,040 --> 00:46:00,480
Speaker 3: and they're the specifics we don't have to get into,

953
00:46:01,000 --> 00:46:02,560
Speaker 3: but I think them's will come to the table on that,

954
00:46:03,320 --> 00:46:05,440
Speaker 3: and then the owners will be on Republicans to just

955
00:46:05,600 --> 00:46:07,000
Speaker 3: hold out on the subsidies.

956
00:46:07,480 --> 00:46:10,919
Speaker 4: Yeah, good luck on that one. Yeah yeah, well we'll say.

957
00:46:11,000 --> 00:46:12,879
Speaker 2: I don't know, it's unclear to me how this one

958
00:46:12,960 --> 00:46:16,600
Speaker 2: is gonna play out and who's gonna break because I

959
00:46:16,680 --> 00:46:20,080
Speaker 2: think the incentives for both parties are to basically continue

960
00:46:20,120 --> 00:46:21,120
Speaker 2: in the same direction they're going.

961
00:46:21,880 --> 00:46:24,080
Speaker 3: Maybe they can, maybe they'll do like skinny bills or something.

962
00:46:24,120 --> 00:46:26,799
Speaker 3: I have no idea, but good luck to everyone. Our

963
00:46:26,840 --> 00:46:29,560
Speaker 3: government can't function, and that's the fun thing about these shutdowns.

964
00:46:29,600 --> 00:46:31,320
Speaker 3: It's just always such a reminder of the way that

965
00:46:31,400 --> 00:46:34,960
Speaker 3: we fund our government structurally is ridiculous. Mike Johnson was

966
00:46:35,000 --> 00:46:37,640
Speaker 3: on that side. He was like, we're not doing CRS anymore. Great,

967
00:46:37,719 --> 00:46:40,200
Speaker 3: that sounds good. Like I was like, oh, great, thank you, Mike.

968
00:46:40,880 --> 00:46:41,680
Speaker 3: Here we are yeah.

969
00:46:41,880 --> 00:46:42,080
Speaker 4: Yeah.

970
00:46:42,160 --> 00:46:44,440
Speaker 2: And the other thing we love about covering shutdowns is

971
00:46:44,480 --> 00:46:48,960
Speaker 2: how much like Capital Beltway, like insider language, we're.

972
00:46:48,880 --> 00:46:52,040
Speaker 4: Forced to talking abouts.

973
00:46:51,080 --> 00:46:56,080
Speaker 3: And can Yeah, but I should mention. Chuck Schumer had

974
00:46:56,120 --> 00:46:59,840
Speaker 3: another just completely idiotic tweet where he said, like Riff Russells,

975
00:47:00,680 --> 00:47:03,200
Speaker 3: It's like, this is them leadership right now. It is

976
00:47:03,360 --> 00:47:06,879
Speaker 3: so pathetic. They have such a gift in front of them.

977
00:47:07,480 --> 00:47:10,840
Speaker 2: I mean, poor Bernie, like the man cannot rest. They're like,

978
00:47:11,440 --> 00:47:14,080
Speaker 2: you can do this, Like you're good at messaging on this,

979
00:47:14,280 --> 00:47:15,279
Speaker 2: like just go do your thing.

980
00:47:15,840 --> 00:47:16,040
Speaker 3: Yeah.

981
00:47:16,239 --> 00:47:18,600
Speaker 2: These he and AOC are really carrying the load for

982
00:47:18,680 --> 00:47:19,480
Speaker 2: decent messaging here.

983
00:47:19,560 --> 00:47:21,640
Speaker 3: They in cable. How keeps you? How keeps you? How

984
00:47:21,680 --> 00:47:25,160
Speaker 3: keep Jeffrey's in turch are incapable of carrying the torch. Incapable.

985
00:47:28,040 --> 00:47:30,480
Speaker 2: All right, let's get to MTG, who we've teased like

986
00:47:30,520 --> 00:47:33,480
Speaker 2: a million times here now, and I pulled this one.

987
00:47:33,600 --> 00:47:36,920
Speaker 2: I thought was particularly interesting because she said a lot

988
00:47:37,040 --> 00:47:39,439
Speaker 2: at this point about you know, she's obviously talked about

989
00:47:39,440 --> 00:47:43,160
Speaker 2: the Epstein files. She's talked about the horror and Gaza,

990
00:47:43,400 --> 00:47:47,239
Speaker 2: describing it as a genocide. She's talked about healthcare in

991
00:47:47,280 --> 00:47:50,000
Speaker 2: the context of the shutdown and insurance premiums going up

992
00:47:50,040 --> 00:47:52,480
Speaker 2: and that market being broken. But this was the first

993
00:47:52,520 --> 00:47:56,560
Speaker 2: time that I'd seen her create any daylight between herself

994
00:47:56,560 --> 00:47:59,760
Speaker 2: and the Trump administration with regard to their immigration policy.

995
00:47:59,840 --> 00:48:02,040
Speaker 2: And I found that to be really noteworthy. Let's go

996
00:48:02,040 --> 00:48:04,040
Speaker 2: ahead and take a listen to a little bit of

997
00:48:04,120 --> 00:48:06,040
Speaker 2: Marjorie Taylor Green with Tim Dillon.

998
00:48:06,360 --> 00:48:09,759
Speaker 9: As a conservative and as a business owner in the

999
00:48:09,800 --> 00:48:13,840
Speaker 9: construction industry and as a realist, I can say, we

1000
00:48:14,000 --> 00:48:16,840
Speaker 9: have to do something about labor, and that needs to

1001
00:48:16,920 --> 00:48:20,640
Speaker 9: be a smarter plan than just rounding up every single

1002
00:48:20,719 --> 00:48:24,960
Speaker 9: person and deporting them just like that. So, and I'm

1003
00:48:25,000 --> 00:48:27,319
Speaker 9: going to get pushed back on that, but it's I'm

1004
00:48:27,440 --> 00:48:30,560
Speaker 9: just living in reality from here on out. Yeah, and

1005
00:48:31,280 --> 00:48:34,560
Speaker 9: if I'm if anybody's mad at me for saying the truth,

1006
00:48:34,760 --> 00:48:35,680
Speaker 9: then I'm sorry.

1007
00:48:36,080 --> 00:48:38,000
Speaker 2: I'm curious, Emily, what you made of her comments, because

1008
00:48:38,040 --> 00:48:41,000
Speaker 2: I know we both watch the whole thing. And she said, look,

1009
00:48:41,239 --> 00:48:43,080
Speaker 2: we have to live in reality. The truth of the

1010
00:48:43,160 --> 00:48:46,880
Speaker 2: matter is that over decades, our workforce has been built

1011
00:48:47,040 --> 00:48:49,080
Speaker 2: around this like these are my words, not hers, but

1012
00:48:49,160 --> 00:48:54,200
Speaker 2: this like exploitable undocumented population, and you can't just flip

1013
00:48:54,239 --> 00:48:56,440
Speaker 2: a switch and expect this all to like work out.

1014
00:48:56,560 --> 00:48:58,759
Speaker 2: And she also expressed, like Tim Dillon was talking about,

1015
00:48:58,880 --> 00:49:01,839
Speaker 2: you know, this is horrible. See I said, like high

1016
00:49:01,880 --> 00:49:05,000
Speaker 2: school graduations pulling people out, and she's like, yeah, that

1017
00:49:05,160 --> 00:49:05,919
Speaker 2: is hard to watch.

1018
00:49:06,000 --> 00:49:07,480
Speaker 4: So he was expressing moralhorn.

1019
00:49:07,600 --> 00:49:09,600
Speaker 2: She sort of took it to you know, my experience

1020
00:49:09,640 --> 00:49:12,000
Speaker 2: in the construction industry is like this is just not real,

1021
00:49:12,160 --> 00:49:13,840
Speaker 2: really realistic what we're.

1022
00:49:13,680 --> 00:49:15,320
Speaker 4: Doing here, which I thought was kind of interesting.

1023
00:49:15,640 --> 00:49:17,880
Speaker 3: Yeah, and people are sharing that clip without having I

1024
00:49:17,920 --> 00:49:21,920
Speaker 3: think watched the full version of it. Their conversation was real.

1025
00:49:22,040 --> 00:49:24,399
Speaker 3: Like I would recommend the full episode of Tim Dillon

1026
00:49:24,440 --> 00:49:26,839
Speaker 3: Show to people who are curious because it's a very

1027
00:49:26,840 --> 00:49:29,080
Speaker 3: interesting conversation. It gets a lot of the theme that

1028
00:49:29,200 --> 00:49:31,600
Speaker 3: we've been hitting on over and over in the show,

1029
00:49:31,680 --> 00:49:34,080
Speaker 3: which is that like, even if some of Maga's kind

1030
00:49:34,080 --> 00:49:39,840
Speaker 3: of quote draining the swamp policies are ideologically defensible or

1031
00:49:39,960 --> 00:49:44,719
Speaker 3: coherent from a populist perspective, the execution of them is

1032
00:49:45,160 --> 00:49:48,040
Speaker 3: it's processed versus direction. And when the process is annoying

1033
00:49:48,120 --> 00:49:52,080
Speaker 3: Marjorie Taylor Green to the point where she's questioning whether

1034
00:49:52,360 --> 00:49:54,560
Speaker 3: the direction is worth it, whether it's.

1035
00:49:54,400 --> 00:49:56,799
Speaker 4: It's no squish certainly on immigration, no.

1036
00:49:56,960 --> 00:49:59,520
Speaker 3: No, yeah. And so this this clip is getting taken

1037
00:49:59,640 --> 00:50:02,440
Speaker 3: as my Andreie Taylor Green saying listen, labor costs are

1038
00:50:02,480 --> 00:50:05,080
Speaker 3: getting too high, and that's actually not what she was saying.

1039
00:50:05,160 --> 00:50:08,279
Speaker 3: She was saying the problem is that right now there

1040
00:50:08,360 --> 00:50:11,040
Speaker 3: has been no off ramp. She uses the phrase off

1041
00:50:11,160 --> 00:50:13,360
Speaker 3: ramp very specifically. Another reason I think she listens to

1042
00:50:13,400 --> 00:50:15,120
Speaker 3: our show because we use that phrase all of the time,

1043
00:50:15,160 --> 00:50:17,920
Speaker 3: that like, if you don't have an off ramp here,

1044
00:50:18,520 --> 00:50:21,080
Speaker 3: then the policy end goal. I mean, when you think

1045
00:50:21,080 --> 00:50:23,560
Speaker 3: about millions of new people entering the labor force in

1046
00:50:23,640 --> 00:50:27,000
Speaker 3: three years, I think the neo libs are insane to

1047
00:50:27,040 --> 00:50:31,240
Speaker 3: act as so that had zero influence on wages, especially

1048
00:50:31,480 --> 00:50:34,719
Speaker 3: like the bottom, particularly maybe exclusively at the bottom of

1049
00:50:34,960 --> 00:50:37,200
Speaker 3: wage teer, Like, I think that's just obvious that it

1050
00:50:37,280 --> 00:50:37,839
Speaker 3: probably did.

1051
00:50:38,120 --> 00:50:41,680
Speaker 2: Although in fairness, actually during the Biden administration, the lowest

1052
00:50:41,680 --> 00:50:43,879
Speaker 2: wage tier was the group of people who were seeing

1053
00:50:43,880 --> 00:50:46,759
Speaker 2: their wages increase the most towards the end of the

1054
00:50:46,840 --> 00:50:50,800
Speaker 2: Biden administration that we're outpacing inflation that has now reversed

1055
00:50:50,800 --> 00:50:52,040
Speaker 2: in the Trump administration, And.

1056
00:50:52,040 --> 00:50:53,520
Speaker 3: I would argue probably a lot of that was from

1057
00:50:53,640 --> 00:50:54,920
Speaker 3: Biden subsidies.

1058
00:50:55,360 --> 00:50:57,279
Speaker 2: I'm sure that is definitely part of it. Yeah, but

1059
00:50:57,360 --> 00:51:00,080
Speaker 2: it cuts against the argument that having you know, a

1060
00:51:00,160 --> 00:51:04,279
Speaker 2: larger number of undocuments undocumented immigrants was like a massive problem. Now,

1061
00:51:04,320 --> 00:51:06,279
Speaker 2: I do think it's an issue when you have people

1062
00:51:06,320 --> 00:51:09,600
Speaker 2: who are being paid under the table, because yeah, they

1063
00:51:09,680 --> 00:51:12,080
Speaker 2: will be they'll be cheap, they'll be exploitable, you won't

1064
00:51:12,160 --> 00:51:14,960
Speaker 2: have to adhere to labor laws. That's why I think

1065
00:51:15,000 --> 00:51:16,759
Speaker 2: people need to be brought out of the shadows. That's,

1066
00:51:16,880 --> 00:51:19,000
Speaker 2: you know, my solution to that problem. But I think,

1067
00:51:19,160 --> 00:51:20,839
Speaker 2: you know, your point is a salient one.

1068
00:51:21,560 --> 00:51:23,719
Speaker 3: She's basically saying, like, hey, we have to have a

1069
00:51:23,800 --> 00:51:27,319
Speaker 3: process that makes sense, that's coherent. She's not saying, yes,

1070
00:51:27,440 --> 00:51:31,040
Speaker 3: please bring in millions of more workers that can undercut

1071
00:51:31,080 --> 00:51:33,200
Speaker 3: American wages. She's just saying, if you're going to do

1072
00:51:33,360 --> 00:51:35,879
Speaker 3: the thing, do it in a way that makes sense.

1073
00:51:35,920 --> 00:51:39,399
Speaker 3: Which again we've talked about that today with tariffs, we've

1074
00:51:39,400 --> 00:51:42,480
Speaker 3: talked about that today with China policy, like it's obviously

1075
00:51:42,640 --> 00:51:44,520
Speaker 3: the and we've talked about that with Doge. It's the

1076
00:51:44,680 --> 00:51:47,120
Speaker 3: recurring theme is that like, even if you are an

1077
00:51:47,200 --> 00:51:51,319
Speaker 3: ideological conservative, the process, the haphazard process over the first

1078
00:51:51,360 --> 00:51:54,960
Speaker 3: ten months of the second Trump administration is even wearing

1079
00:51:55,160 --> 00:51:57,560
Speaker 3: on Marjorie Taylor Green, who is not. She says this

1080
00:51:57,719 --> 00:51:59,799
Speaker 3: very clear. She's like, she has not waivered one bit

1081
00:52:00,360 --> 00:52:03,800
Speaker 3: on these policy ends. It's the means that she's questioning

1082
00:52:04,160 --> 00:52:06,839
Speaker 3: in this kind of grand cost benefit analysis of whether

1083
00:52:07,320 --> 00:52:10,520
Speaker 3: the cost of this haphazard process is worth the benefit

1084
00:52:10,719 --> 00:52:14,040
Speaker 3: of the end that she hasn't wavered from ideologically. But

1085
00:52:14,600 --> 00:52:16,239
Speaker 3: Vin I think Crystal, I think people should be aware

1086
00:52:16,239 --> 00:52:19,200
Speaker 3: of is just like thinking about people suddenly saying, oh,

1087
00:52:19,239 --> 00:52:21,400
Speaker 3: Marjorie Taylor Green has changed again. If you think that,

1088
00:52:21,560 --> 00:52:24,080
Speaker 3: you should go back to her original run for the

1089
00:52:24,200 --> 00:52:26,840
Speaker 3: House in Georgia and look at how similar exactly what

1090
00:52:26,960 --> 00:52:29,000
Speaker 3: she's saying is over and over again. Healthcare is a

1091
00:52:29,040 --> 00:52:30,799
Speaker 3: part of her origin story, as it is for many

1092
00:52:30,840 --> 00:52:33,000
Speaker 3: people who got activated during the Obama years and the

1093
00:52:33,080 --> 00:52:35,279
Speaker 3: Tea Party years. She talked to Megan Kelly a couple

1094
00:52:35,280 --> 00:52:38,920
Speaker 3: of months ago about how she saw her father's company

1095
00:52:39,000 --> 00:52:42,600
Speaker 3: that she stepped into like being crippled after Obamacare's small

1096
00:52:42,840 --> 00:52:45,800
Speaker 3: business provisions became really difficult for a lot of small businesses.

1097
00:52:46,320 --> 00:52:48,120
Speaker 3: So it's not like none of this is like new

1098
00:52:48,239 --> 00:52:51,239
Speaker 3: for Marjorie Taylor Green. It's just more and more politicians.

1099
00:52:51,400 --> 00:52:55,319
Speaker 3: Thomas Massey's another good example of this. They're realizing where

1100
00:52:55,360 --> 00:52:58,080
Speaker 3: the incentives are and the incentives are. She said over

1101
00:52:58,080 --> 00:53:01,560
Speaker 3: and over again on Tim Dillon, be honest, and you

1102
00:53:01,680 --> 00:53:04,000
Speaker 3: can take that for what it's worth. You can say

1103
00:53:04,000 --> 00:53:06,600
Speaker 3: she's not being honest, she's being calculated, she's being cynical.

1104
00:53:07,040 --> 00:53:08,920
Speaker 3: I think if you watch all of her interviews recently,

1105
00:53:09,080 --> 00:53:11,759
Speaker 3: she's literally just speaking her mind and not letting any

1106
00:53:11,800 --> 00:53:14,800
Speaker 3: of those talking points get in anymore. There's some Democrats

1107
00:53:14,840 --> 00:53:17,560
Speaker 3: who are good at doing this too, but that's what

1108
00:53:17,719 --> 00:53:20,160
Speaker 3: she's like. You can say that it's honest or whatever,

1109
00:53:20,320 --> 00:53:23,600
Speaker 3: but like it's maybe you believe it's cynical, and even

1110
00:53:23,640 --> 00:53:25,440
Speaker 3: if it was cynical. It would still make sense to

1111
00:53:25,480 --> 00:53:28,440
Speaker 3: at least act like you're being honest and spontaneous in

1112
00:53:28,520 --> 00:53:33,759
Speaker 3: these conversations because the incentives are aligning against party talking points. Yeah,

1113
00:53:34,120 --> 00:53:36,360
Speaker 3: and some people are gonna get really good at delivering

1114
00:53:36,400 --> 00:53:38,440
Speaker 3: party talking points in a way that makes them not

1115
00:53:38,560 --> 00:53:41,000
Speaker 3: sound like talking points. I think Jade Vance is somebody

1116
00:53:41,120 --> 00:53:43,759
Speaker 3: who does that right now on podcasts, like when he

1117
00:53:43,880 --> 00:53:48,239
Speaker 3: was on THEO Vaughn. But they're losing control, and they'll

1118
00:53:48,280 --> 00:53:50,120
Speaker 3: find new ways to get control and to get people

1119
00:53:50,160 --> 00:53:52,040
Speaker 3: like Marjorie Tayler Green in line. But that's what's happening

1120
00:53:52,080 --> 00:53:55,279
Speaker 3: right now. It's actually a huge shift in the way

1121
00:53:55,440 --> 00:53:57,680
Speaker 3: politicians are talking to constituents and voters.

1122
00:53:57,840 --> 00:54:01,160
Speaker 2: There's been a lane opened up on the right that

1123
00:54:01,440 --> 00:54:05,560
Speaker 2: didn't really exist in the first Trump term. Everybody, most

1124
00:54:05,760 --> 00:54:09,080
Speaker 2: of right wing media was just like, go Trump, Trump's great.

1125
00:54:09,160 --> 00:54:12,120
Speaker 2: It's all like there was more cohesive.

1126
00:54:11,640 --> 00:54:15,200
Speaker 4: Towing of the line. Now you've got you got Candace

1127
00:54:15,520 --> 00:54:16,239
Speaker 4: you know who I mean.

1128
00:54:16,280 --> 00:54:18,520
Speaker 2: Canda is the perfect example because in Trump one point, oh,

1129
00:54:18,640 --> 00:54:20,840
Speaker 2: she was on the team, like she was fully, she

1130
00:54:21,000 --> 00:54:22,640
Speaker 2: was in the White House, she was doing the things.

1131
00:54:22,719 --> 00:54:25,120
Speaker 2: She was you know, hosting events for them, and she

1132
00:54:25,360 --> 00:54:28,040
Speaker 2: was fully on the talking points. And so you've got

1133
00:54:28,120 --> 00:54:31,439
Speaker 2: you know, you've got Candace Nick Twentez obviously huge voice

1134
00:54:31,480 --> 00:54:34,759
Speaker 2: on the right, Tucker being another one who you know,

1135
00:54:34,840 --> 00:54:37,000
Speaker 2: I mean, Tucker's kind of interesting because he very rarely

1136
00:54:37,080 --> 00:54:39,680
Speaker 2: actually turns around directly criticizes Trump, but he's been critical

1137
00:54:39,719 --> 00:54:42,160
Speaker 2: of some of the Trump administration actions. And so there's

1138
00:54:42,560 --> 00:54:45,880
Speaker 2: been a space that has been created which had already

1139
00:54:45,960 --> 00:54:49,520
Speaker 2: existed on the left because of like the Bernie media

1140
00:54:49,560 --> 00:54:51,560
Speaker 2: and the way that ecosystem is very critical of the

1141
00:54:51,640 --> 00:54:54,720
Speaker 2: Democratic Party from the left. Now you have an equivalent

1142
00:54:54,760 --> 00:54:56,160
Speaker 2: thing on the right, where there's an ability to be

1143
00:54:56,239 --> 00:55:00,239
Speaker 2: critical of the Trump administration from the right or from

1144
00:55:00,320 --> 00:55:02,239
Speaker 2: you know, coming at it from a war I guess, right,

1145
00:55:02,320 --> 00:55:05,759
Speaker 2: populist perspective. Steve Bannon even you know, you could put

1146
00:55:05,760 --> 00:55:07,480
Speaker 2: in that category. At the end of the day, he's

1147
00:55:07,480 --> 00:55:09,960
Speaker 2: always going to back up Donald Trump, but you know,

1148
00:55:10,120 --> 00:55:12,400
Speaker 2: getting to those decisions, he's going to put pressure in

1149
00:55:12,480 --> 00:55:15,200
Speaker 2: a variety of different ways. So I think that that

1150
00:55:15,760 --> 00:55:18,760
Speaker 2: space opening up is it's a natural fit for Marjorie

1151
00:55:18,760 --> 00:55:21,160
Speaker 2: Taylor Green, who I do think, you know the fact

1152
00:55:21,200 --> 00:55:23,880
Speaker 2: that she wasn't a career politician yes, and it was

1153
00:55:24,000 --> 00:55:28,080
Speaker 2: just like a mega Facebook mom sharing weird conspiracies. Like

1154
00:55:28,200 --> 00:55:30,400
Speaker 2: she's kind of legit in that way in a way

1155
00:55:30,520 --> 00:55:33,719
Speaker 2: that a lot of other mega politicians aren't and are

1156
00:55:33,920 --> 00:55:36,160
Speaker 2: just like playing, you know, like Ronda Santis was always

1157
00:55:36,200 --> 00:55:38,480
Speaker 2: like playing a role to try to do the thing. Yes,

1158
00:55:38,800 --> 00:55:42,120
Speaker 2: I think she genuinely comes out of that space and

1159
00:55:42,280 --> 00:55:46,000
Speaker 2: is a little more in touch with where like actual

1160
00:55:46,160 --> 00:55:49,360
Speaker 2: MAGA and her constituents are than some other politicians.

1161
00:55:49,160 --> 00:55:50,879
Speaker 3: Up and she was making that case on Tim Dillon

1162
00:55:50,920 --> 00:55:53,720
Speaker 3: and like, if it sounds like we're glazing Marjorie Taylor

1163
00:55:53,760 --> 00:55:56,359
Speaker 3: Green right now, it's actually just like she's a very

1164
00:55:56,440 --> 00:55:58,799
Speaker 3: interesting case study. That's the way to put it, right. Yeah,

1165
00:55:58,880 --> 00:56:02,120
Speaker 3: she's a really I was reading Neil Postman Amusing Ourselves

1166
00:56:02,160 --> 00:56:03,520
Speaker 3: to Death over the weekend and he was sort of

1167
00:56:03,600 --> 00:56:06,120
Speaker 3: lamenting the rise of Ronald Reagan in the age of

1168
00:56:06,320 --> 00:56:08,919
Speaker 3: TV and looking back, he was like, well, William Howard

1169
00:56:08,920 --> 00:56:10,560
Speaker 3: Taft could never have been elected in the age of

1170
00:56:10,600 --> 00:56:14,680
Speaker 3: TV because he was so like obscenely obese, although probably

1171
00:56:14,680 --> 00:56:17,280
Speaker 3: by our standards today he was not that obscenely abeast,

1172
00:56:17,320 --> 00:56:20,719
Speaker 3: but anyway, we'll leave that aside. And what he was

1173
00:56:20,800 --> 00:56:24,120
Speaker 3: saying is basically that because of the way the mediums

1174
00:56:24,160 --> 00:56:27,239
Speaker 3: shape our politics. He's building off mccoohan, and he's saying

1175
00:56:27,840 --> 00:56:31,759
Speaker 3: that changes that These changes not just where we say things,

1176
00:56:31,840 --> 00:56:33,839
Speaker 3: but what we're actually saying. It's not just how we're

1177
00:56:33,840 --> 00:56:36,879
Speaker 3: saying things, it changes the essence of what we actually say.

1178
00:56:37,080 --> 00:56:41,200
Speaker 3: And so with TV it did give something to the

1179
00:56:41,320 --> 00:56:46,440
Speaker 3: actors who were able to do these very inspirational, almost

1180
00:56:46,600 --> 00:56:51,440
Speaker 3: script worthy cinematic deliveries. And now in the age of

1181
00:56:51,480 --> 00:56:53,600
Speaker 3: smartphone cameras, which is the most intimate thing in the

1182
00:56:53,640 --> 00:56:56,000
Speaker 3: world because everybody has one and everyone can look like

1183
00:56:56,040 --> 00:56:59,480
Speaker 3: a politician, you don't need cinematography anymore to look like

1184
00:56:59,560 --> 00:57:03,400
Speaker 3: the average politicians video because the filming on smartphone cameras

1185
00:57:03,560 --> 00:57:07,040
Speaker 3: and that has created an incentive for people who are

1186
00:57:07,080 --> 00:57:09,160
Speaker 3: smart enough to actually try to capitalize on it, or

1187
00:57:09,200 --> 00:57:12,080
Speaker 3: cynical enough to actually try to capitalize it, or sincere

1188
00:57:12,239 --> 00:57:14,480
Speaker 3: enough to actually try to capitalize on it, whether you're

1189
00:57:14,520 --> 00:57:19,040
Speaker 3: Zorammdani or you know, maybe you think Martin Tillgren's instance,

1190
00:57:19,080 --> 00:57:22,800
Speaker 3: you're fine, but like they understand that right now what

1191
00:57:22,880 --> 00:57:25,680
Speaker 3: people want to see is not talking points, it's not scripts,

1192
00:57:25,840 --> 00:57:28,680
Speaker 3: it's none of the production it's not the cinematography, and

1193
00:57:28,760 --> 00:57:32,480
Speaker 3: that's not just changing. You can be, you know, an

1194
00:57:32,560 --> 00:57:35,840
Speaker 3: establishment hack in film, a smartphone video. It doesn't hit

1195
00:57:35,920 --> 00:57:38,640
Speaker 3: the same way because you're not changing the substance of

1196
00:57:38,680 --> 00:57:40,520
Speaker 3: what you say, and the substance of what you say

1197
00:57:40,640 --> 00:57:44,880
Speaker 3: has to feel a lot more raw, unpolished, real and unscripted,

1198
00:57:44,920 --> 00:57:46,680
Speaker 3: and it's not always going to be, but has to

1199
00:57:46,720 --> 00:57:47,280
Speaker 3: feel that way.

1200
00:57:47,400 --> 00:57:50,880
Speaker 2: Yeah, I think the cynical take would be that she's

1201
00:57:50,960 --> 00:57:53,520
Speaker 2: positioning herself for a presidential run in twenty twenty eight

1202
00:57:53,560 --> 00:57:56,520
Speaker 2: in a post Trump world, and I think that's certainly possible.

1203
00:57:57,360 --> 00:58:00,880
Speaker 2: Is worth saying, though, that her position on Isra in particular,

1204
00:58:01,120 --> 00:58:02,680
Speaker 2: which is an area where I would say she has

1205
00:58:02,760 --> 00:58:05,560
Speaker 2: definitely changed. You know, she was voting lockstep on all

1206
00:58:05,600 --> 00:58:08,760
Speaker 2: the Israel and condemned anti Semitism and censure. She just

1207
00:58:08,840 --> 00:58:10,880
Speaker 2: leever was she would doing all that stuff up until

1208
00:58:11,000 --> 00:58:13,120
Speaker 2: very recently, and look, a lot of people have changed

1209
00:58:13,120 --> 00:58:15,720
Speaker 2: their position on Israel over the past. Again, that would

1210
00:58:15,720 --> 00:58:19,280
Speaker 2: be reflective of some of the Republican magabase that she

1211
00:58:19,360 --> 00:58:21,040
Speaker 2: would be in touch with. But in any case, the

1212
00:58:21,120 --> 00:58:23,600
Speaker 2: point I want to make, in terms of her immediate

1213
00:58:23,640 --> 00:58:26,880
Speaker 2: political prospects, she creates a risk and danger for herself

1214
00:58:27,040 --> 00:58:30,400
Speaker 2: with those positions, because you know, she runs in a

1215
00:58:30,520 --> 00:58:33,920
Speaker 2: very red district. She only has to worry about challenges

1216
00:58:33,960 --> 00:58:37,480
Speaker 2: from her right, and you know, very possible that Apak

1217
00:58:37,560 --> 00:58:40,920
Speaker 2: funds some candidate against her tune of millions of dollars

1218
00:58:41,000 --> 00:58:42,960
Speaker 2: and she has to contend with a genuine threat there.

1219
00:58:43,160 --> 00:58:45,440
Speaker 2: She's pissed off the Trump administration. They're not happy with

1220
00:58:45,560 --> 00:58:47,920
Speaker 2: her because of you know, her being honest about or

1221
00:58:48,120 --> 00:58:51,000
Speaker 2: you know, what her views are at this point, and

1222
00:58:51,040 --> 00:58:52,320
Speaker 2: she's article a certain way.

1223
00:58:52,440 --> 00:58:55,360
Speaker 3: She's arguably the best small donor small dollar fundraiser in

1224
00:58:55,440 --> 00:58:57,840
Speaker 3: all of Congress, which would make an a pack bit

1225
00:58:57,920 --> 00:59:01,280
Speaker 3: against her fascinating interesting because he has powers like AOC

1226
00:59:01,440 --> 00:59:03,640
Speaker 3: and Bernie when it comes to entrump when it comes

1227
00:59:03,680 --> 00:59:06,560
Speaker 3: to small dollar fundraising, and that means she has a

1228
00:59:06,600 --> 00:59:08,880
Speaker 3: lot of average people who send her a dollar from

1229
00:59:09,080 --> 00:59:12,080
Speaker 3: around the country. So that would make it pretty pretty

1230
00:59:12,960 --> 00:59:15,040
Speaker 3: amusing to watch APAC try to take her down. And

1231
00:59:15,080 --> 00:59:18,280
Speaker 3: maybe they could do it, but yeah, a primary, I

1232
00:59:18,320 --> 00:59:21,200
Speaker 3: don't know, maybe they maybe Randy Fine moves to the district.

1233
00:59:21,920 --> 00:59:27,880
Speaker 2: God, that would be an earthquake him moving into the district.

1234
00:59:28,720 --> 00:59:31,400
Speaker 2: What's too much time with Lyle.

1235
00:59:31,600 --> 00:59:34,880
Speaker 3: You're spending too much time with Lyle. Do not doc,

1236
00:59:35,400 --> 00:59:38,080
Speaker 3: do not knock. Okay, if you don't get that, Restierence,

1237
00:59:38,160 --> 00:59:39,320
Speaker 3: go watch this gotch Friday.

1238
00:59:42,040 --> 00:59:44,080
Speaker 2: One of the things that, of course is interesting about

1239
00:59:44,160 --> 00:59:47,360
Speaker 2: Marjorie Taylor Green here and the political moment we're in

1240
00:59:47,720 --> 00:59:51,080
Speaker 2: is that it was up until now Democrats who really

1241
00:59:51,120 --> 00:59:53,400
Speaker 2: were kind of on the back foot on immigration, and

1242
00:59:53,560 --> 00:59:56,080
Speaker 2: now Republicans are having to answer for a lot. So

1243
00:59:56,320 --> 00:59:58,560
Speaker 2: I'm going to show you a few different videos. I

1244
00:59:58,640 --> 01:00:00,360
Speaker 2: want to give you a picture of what's happening on

1245
01:00:00,400 --> 01:00:03,240
Speaker 2: the ground in Chicago and some of the absolute insanity

1246
01:00:03,560 --> 01:00:06,120
Speaker 2: that is unfolding here. The first one, that's the local

1247
01:00:06,160 --> 01:00:10,320
Speaker 2: news report about ice picking up this autistic fifteen year

1248
01:00:10,360 --> 01:00:13,920
Speaker 2: old who reportedly has the capabilities of roughly like a

1249
01:00:14,000 --> 01:00:16,440
Speaker 2: four year old, who was there with this family working

1250
01:00:16,480 --> 01:00:18,120
Speaker 2: at their stand and then went to go to the

1251
01:00:18,160 --> 01:00:21,080
Speaker 2: bathroom and they kidnapped him and did not let the

1252
01:00:21,120 --> 01:00:22,960
Speaker 2: family know. Family couldn't find him for days. Let's go

1253
01:00:22,960 --> 01:00:24,320
Speaker 2: ahead and take a listen to this report.

1254
01:00:24,680 --> 01:00:27,280
Speaker 10: The boy was here at this intersection in Spring Branch

1255
01:00:27,400 --> 01:00:30,440
Speaker 10: with his mom and sister selling fruit when he disappeared.

1256
01:00:30,480 --> 01:00:32,919
Speaker 10: And here's the information we just learned in the last

1257
01:00:33,000 --> 01:00:33,600
Speaker 10: thirty minutes.

1258
01:00:33,640 --> 01:00:34,280
Speaker 4: Take a look at this.

1259
01:00:34,440 --> 01:00:38,440
Speaker 10: So the boy has autism and is sometimes nonverbal, and

1260
01:00:38,520 --> 01:00:42,560
Speaker 10: he disappeared last Saturday. He's fifteen years old, but his

1261
01:00:42,720 --> 01:00:45,439
Speaker 10: social worker says he has the mindset of a four

1262
01:00:45,480 --> 01:00:47,720
Speaker 10: to five year old, so they were very worried about

1263
01:00:47,760 --> 01:00:51,520
Speaker 10: his safety. The mom said around three pm on October four,

1264
01:00:51,720 --> 01:00:54,840
Speaker 10: she was with a customer selling fruit when her son

1265
01:00:54,960 --> 01:00:57,880
Speaker 10: asked him or asked her to use the restroom, and

1266
01:00:58,040 --> 01:01:01,440
Speaker 10: when she turned around, he was gone. Missing person report

1267
01:01:01,960 --> 01:01:05,640
Speaker 10: with Houston Police, and earlier today, feel Houston held a

1268
01:01:05,720 --> 01:01:08,280
Speaker 10: press conference with the family, begging for the public's help

1269
01:01:08,360 --> 01:01:11,800
Speaker 10: to find him. Now today police notified the family that

1270
01:01:11,880 --> 01:01:15,120
Speaker 10: the boy was found safe. Fael Houston said a law

1271
01:01:15,200 --> 01:01:18,440
Speaker 10: enforcement agency found him and he's been at the Office

1272
01:01:18,720 --> 01:01:23,200
Speaker 10: of Refugee Resettlement Children's detention Centers since Monday. The family

1273
01:01:23,320 --> 01:01:25,720
Speaker 10: is undocumented and they're trying to get him released from

1274
01:01:25,840 --> 01:01:28,600
Speaker 10: ice custody. And I'm told that the mom just had

1275
01:01:28,600 --> 01:01:31,840
Speaker 10: a FaceTime conversation with her son in the last thirty

1276
01:01:31,920 --> 01:01:34,280
Speaker 10: minutes and is thankful he is alive and hopes to

1277
01:01:34,280 --> 01:01:35,919
Speaker 10: be reunited with him soon.

1278
01:01:36,480 --> 01:01:38,880
Speaker 2: So obviously I mean, I don't know how you defend

1279
01:01:38,920 --> 01:01:42,160
Speaker 2: that completely indefensible picking up this child who has a

1280
01:01:42,840 --> 01:01:48,800
Speaker 2: significant disability, not notifying the family still being held in custody,

1281
01:01:49,040 --> 01:01:53,120
Speaker 2: just absolute insanity. And there's more where that came from.

1282
01:01:53,200 --> 01:01:54,920
Speaker 2: We can put this next one up on the screen.

1283
01:01:55,160 --> 01:01:57,960
Speaker 2: So there have been a number of instances of these

1284
01:01:58,520 --> 01:01:59,200
Speaker 2: car accidents.

1285
01:01:59,240 --> 01:02:02,080
Speaker 4: You can see here. Ice is in this white, white

1286
01:02:02,160 --> 01:02:03,200
Speaker 4: silver vehicle.

1287
01:02:03,160 --> 01:02:06,920
Speaker 2: Rams into that car, begins to pull off bystanders who

1288
01:02:06,960 --> 01:02:09,440
Speaker 2: are recording, say hit and run, hit and run, and

1289
01:02:09,520 --> 01:02:11,320
Speaker 2: then they jump out. I'm saying ice, by the way

1290
01:02:11,400 --> 01:02:13,720
Speaker 2: loosely here. I don't even actually know what There's a

1291
01:02:13,800 --> 01:02:16,160
Speaker 2: variety of federal agencies on the ground, so I'm just

1292
01:02:16,280 --> 01:02:18,760
Speaker 2: using ice as a blanket term. Then they come to

1293
01:02:18,880 --> 01:02:22,680
Speaker 2: this car that they rammed and pull this lady out

1294
01:02:22,960 --> 01:02:23,720
Speaker 2: by her legs.

1295
01:02:24,840 --> 01:02:27,000
Speaker 4: She was apparently just trying to get to work.

1296
01:02:28,440 --> 01:02:30,680
Speaker 2: Her This is a US citizen, guys, by the way,

1297
01:02:31,040 --> 01:02:34,000
Speaker 2: US citizen who happened to be wrong place, wrong time,

1298
01:02:34,200 --> 01:02:37,960
Speaker 2: gets hit by these federal goons and then gets pulled

1299
01:02:38,000 --> 01:02:40,560
Speaker 2: out and arrested. Her sister said that she had been

1300
01:02:40,640 --> 01:02:42,960
Speaker 2: fresh out of surgery, just cleared for work a month ago.

1301
01:02:43,280 --> 01:02:46,880
Speaker 2: They held her in detention for hours. The sister says

1302
01:02:46,920 --> 01:02:49,280
Speaker 2: they brutally dragged her out of car at gunpoint. We

1303
01:02:49,360 --> 01:02:52,280
Speaker 2: had to run all around the area just to find her. So,

1304
01:02:53,080 --> 01:02:58,040
Speaker 2: you know, just total like total insanity here, incredibly dangerous

1305
01:02:58,320 --> 01:03:00,520
Speaker 2: crashing into this car, and then they were.

1306
01:03:00,480 --> 01:03:01,360
Speaker 4: Just going to do the hit and run.

1307
01:03:01,440 --> 01:03:03,320
Speaker 2: When we got called out on that, they're like, all right, well,

1308
01:03:03,400 --> 01:03:05,200
Speaker 2: let me go back and pretend like I have a

1309
01:03:05,320 --> 01:03:08,080
Speaker 2: reason to arrest this ladies a US citizen.

1310
01:03:08,200 --> 01:03:12,480
Speaker 3: Ultimately, Emily, this is a really really really bad situation.

1311
01:03:12,760 --> 01:03:15,160
Speaker 3: And that sounds like a kind of obvious way to

1312
01:03:15,240 --> 01:03:17,400
Speaker 3: put it, but I just want to make the point

1313
01:03:17,440 --> 01:03:21,200
Speaker 3: that it's not just a bad situation because of Ice.

1314
01:03:21,240 --> 01:03:22,440
Speaker 3: I'm going to get back to that. I think it

1315
01:03:22,600 --> 01:03:25,360
Speaker 3: is a bad situation because of Ice, to be very clear. Yeah,

1316
01:03:25,440 --> 01:03:31,760
Speaker 3: but also because imagine these you're given these different tasks,

1317
01:03:31,880 --> 01:03:37,040
Speaker 3: jobs whatever by Christinoum higher ups at DHS, and there

1318
01:03:37,160 --> 01:03:39,640
Speaker 3: was just a shooting in Dallas, people trying to someone

1319
01:03:39,760 --> 01:03:42,920
Speaker 3: apparently trying to take out ICE, who took out two migrants.

1320
01:03:43,960 --> 01:03:48,240
Speaker 3: There had been efforts to go after the ICE guys,

1321
01:03:48,400 --> 01:03:50,960
Speaker 3: and so I'm saying all of that to emphasize that

1322
01:03:51,200 --> 01:03:54,800
Speaker 3: they are trigger happy. And I don't just mean that literally.

1323
01:03:54,880 --> 01:03:56,880
Speaker 3: I mean that when they're driving in cars and they

1324
01:03:56,960 --> 01:03:59,840
Speaker 3: see somebody who they think is maybe obstructing them or whatever,

1325
01:04:00,520 --> 01:04:04,240
Speaker 3: they are now like on razor's edge, and that's a

1326
01:04:04,520 --> 01:04:06,080
Speaker 3: super super dangerous situation.

1327
01:04:06,440 --> 01:04:11,400
Speaker 2: Especially well, and many of them like pretty untrained, you know,

1328
01:04:11,640 --> 01:04:15,360
Speaker 2: they dramatically reduced the amount of training these guys have

1329
01:04:15,480 --> 01:04:18,760
Speaker 2: to get. They've been operating with total impunity. So I

1330
01:04:18,840 --> 01:04:20,600
Speaker 2: mean it reminds me a little of, like, you know,

1331
01:04:20,720 --> 01:04:23,960
Speaker 2: not to equate the situation, but reminds me of IDF

1332
01:04:24,280 --> 01:04:26,600
Speaker 2: who have been, you know, recording their war crimes and

1333
01:04:26,720 --> 01:04:29,560
Speaker 2: acting with total impunity. And it just feels the sense

1334
01:04:29,680 --> 01:04:32,000
Speaker 2: of like, you know, here I am, big, bad, tough guy,

1335
01:04:32,200 --> 01:04:34,680
Speaker 2: all kitted out with my gun and with the federal

1336
01:04:34,760 --> 01:04:37,960
Speaker 2: government saying go ahead, you know. And I mean we saw,

1337
01:04:38,160 --> 01:04:41,720
Speaker 2: like I think a really important development was there was

1338
01:04:41,760 --> 01:04:44,400
Speaker 2: a video that came out of one I think it

1339
01:04:44,520 --> 01:04:47,840
Speaker 2: was Ice throwing this lady, grabbing her hair and throwing

1340
01:04:47,880 --> 01:04:50,240
Speaker 2: this lady on the ground at a courthouse in New York.

1341
01:04:50,560 --> 01:04:52,960
Speaker 2: He was initially put on leave, and then within a

1342
01:04:53,000 --> 01:04:54,520
Speaker 2: week they're like, no, you're fine, you can go back.

1343
01:04:54,560 --> 01:04:56,760
Speaker 2: I mean that sends a message to everyone of like, no,

1344
01:04:56,920 --> 01:05:00,080
Speaker 2: you can you can do whatever you want, you.

1345
01:05:00,080 --> 01:05:00,800
Speaker 4: Can get away with it.

1346
01:05:01,320 --> 01:05:03,440
Speaker 2: So the type of people who would be attracted to

1347
01:05:03,480 --> 01:05:05,600
Speaker 2: the job at this point too, Like think of the

1348
01:05:05,640 --> 01:05:07,320
Speaker 2: type of people who would watch this sort of thing

1349
01:05:07,480 --> 01:05:10,680
Speaker 2: or know that you're like zip time children and you know,

1350
01:05:10,840 --> 01:05:14,640
Speaker 2: picking up grandmas and arresting autistic fifteen year olds, and

1351
01:05:14,760 --> 01:05:17,360
Speaker 2: you're like, yes, that's the job for me. You know,

1352
01:05:17,600 --> 01:05:20,000
Speaker 2: that's the type of person that is being attracted to

1353
01:05:20,080 --> 01:05:21,320
Speaker 2: this line of work at this point.

1354
01:05:21,840 --> 01:05:25,440
Speaker 3: It's a really like it's just very, very dangerous, and

1355
01:05:25,960 --> 01:05:28,800
Speaker 3: I think it's not I think everyone's senses right now

1356
01:05:28,840 --> 01:05:31,280
Speaker 3: that it's all getting worse by the day. It's not

1357
01:05:31,520 --> 01:05:33,000
Speaker 3: in any way getting better by the day. And I

1358
01:05:33,080 --> 01:05:35,040
Speaker 3: wasn't saying what I was saying to suggest that people

1359
01:05:35,040 --> 01:05:39,600
Speaker 3: shouldn't protest ice or shouldn't do activism like whatever. I'm

1360
01:05:39,640 --> 01:05:41,200
Speaker 3: not saying that at all. I'm just I was just

1361
01:05:41,320 --> 01:05:46,000
Speaker 3: explaining that, like when we see some of these confrontations,

1362
01:05:46,760 --> 01:05:50,840
Speaker 3: it's partially that to Crystal's point, these guys have been

1363
01:05:51,240 --> 01:05:53,840
Speaker 3: operating with the complete and total backing, like no matter

1364
01:05:53,960 --> 01:05:57,560
Speaker 3: what happens, and they also feel like they're in danger

1365
01:05:57,640 --> 01:06:00,840
Speaker 3: and under threat for whatever. Like sometime that's for good reasons.

1366
01:06:00,880 --> 01:06:03,400
Speaker 3: Sometimes it's maybe for a BS reason. But this is

1367
01:06:03,560 --> 01:06:08,360
Speaker 3: like a recipe for disaster and the leadership from ICE.

1368
01:06:08,440 --> 01:06:10,000
Speaker 3: And this is to get back to the part of

1369
01:06:10,040 --> 01:06:15,080
Speaker 3: this that actually is seriously problematic. It's that by the

1370
01:06:15,120 --> 01:06:18,880
Speaker 3: New York Times ascount looking at least fifteen US citizens

1371
01:06:18,920 --> 01:06:21,040
Speaker 3: that have been detained or arrested so far. I think

1372
01:06:21,080 --> 01:06:23,520
Speaker 3: that number is probably higher that was ones that they

1373
01:06:23,560 --> 01:06:25,960
Speaker 3: were able to verify as of last week. I think

1374
01:06:25,960 --> 01:06:28,200
Speaker 3: that numbers probably higher. I assume it's gotten even higher

1375
01:06:28,200 --> 01:06:32,040
Speaker 3: in the last week because of Chicago in particular, if

1376
01:06:32,080 --> 01:06:34,600
Speaker 3: people are paying attention to what's happening in the UK

1377
01:06:34,800 --> 01:06:37,760
Speaker 3: right now, Cure Starmer has this digital ID push partially

1378
01:06:37,840 --> 01:06:42,080
Speaker 3: because his justification is partially because people want to crack

1379
01:06:42,200 --> 01:06:45,160
Speaker 3: down on a legal immigration. Well, what does that create

1380
01:06:45,280 --> 01:06:49,360
Speaker 3: a situation where if you are a conservative, especially if

1381
01:06:49,400 --> 01:06:53,200
Speaker 3: you're like a civil libertarian, this is an opportunity for

1382
01:06:53,320 --> 01:06:56,080
Speaker 3: mas surveillance and for more power to the federal government,

1383
01:06:56,200 --> 01:06:59,280
Speaker 3: for more of a police state, for more surveillance. They

1384
01:06:59,320 --> 01:07:03,439
Speaker 3: have these huge contracts with Palenteer right now. Obviously which

1385
01:07:03,480 --> 01:07:06,400
Speaker 3: is shifting through mountains of data. And if you don't

1386
01:07:06,480 --> 01:07:08,400
Speaker 3: think that US citizens are being caught up in that

1387
01:07:08,520 --> 01:07:10,680
Speaker 3: drag net, I mean, I don't know what to say.

1388
01:07:10,960 --> 01:07:14,600
Speaker 3: On the other hand, this gets back to the process

1389
01:07:14,840 --> 01:07:18,680
Speaker 3: versus direction thing Directionally, the last year the Biden administration,

1390
01:07:18,960 --> 01:07:21,640
Speaker 3: they said there were what eighty thousand arrests of non

1391
01:07:21,720 --> 01:07:25,560
Speaker 3: citizens on criminal charges that weren't immigration related, so assaults,

1392
01:07:25,720 --> 01:07:28,760
Speaker 3: those types of things, murders in some cases, And that

1393
01:07:28,920 --> 01:07:32,439
Speaker 3: does exist, Like, that's just during the Biden administration. Eighty

1394
01:07:32,480 --> 01:07:35,440
Speaker 3: thousand people in one year. They do have a job

1395
01:07:35,520 --> 01:07:39,080
Speaker 3: to do, Like there is actually a legitimate law enforcement

1396
01:07:39,240 --> 01:07:42,760
Speaker 3: aspect when you have this explosion, even if you didn't

1397
01:07:42,760 --> 01:07:44,440
Speaker 3: have the explosion, but with the explosure in the last

1398
01:07:44,480 --> 01:07:48,560
Speaker 3: several years, does anybody think that that's actually more effective

1399
01:07:48,640 --> 01:07:48,920
Speaker 3: right now?

1400
01:07:49,240 --> 01:07:52,680
Speaker 2: Well, and that's a very key point because the polar

1401
01:07:52,760 --> 01:07:54,800
Speaker 2: opposite is actually happening.

1402
01:07:55,120 --> 01:07:55,240
Speaker 4: Right.

1403
01:07:55,440 --> 01:07:59,880
Speaker 2: Instead of resources going to, okay, let's go after the

1404
01:08:00,040 --> 01:08:03,160
Speaker 2: Yang leaders, right, let's go after the drug traffickers, the

1405
01:08:03,280 --> 01:08:06,880
Speaker 2: resources have been shifted to let's go raid the home depot,

1406
01:08:07,240 --> 01:08:10,040
Speaker 2: let's go raid the seven eleven, let's go you know,

1407
01:08:10,240 --> 01:08:13,320
Speaker 2: into let's go surge into Chicago just because we don't

1408
01:08:13,400 --> 01:08:16,719
Speaker 2: like JB. Pritzker and Brandon Johnson and try to create

1409
01:08:17,040 --> 01:08:20,559
Speaker 2: some sort of a confrontation. Let's raid an entire apartment

1410
01:08:20,600 --> 01:08:26,360
Speaker 2: building with Blackhawk helicopters detaining mostly American citizens to get

1411
01:08:26,439 --> 01:08:28,240
Speaker 2: you know, they claimed that there were some thirty seven

1412
01:08:28,240 --> 01:08:30,320
Speaker 2: people arrested. By the way, we haven't gotten any details.

1413
01:08:30,320 --> 01:08:32,040
Speaker 2: I mean, that's another key point that I want you

1414
01:08:32,080 --> 01:08:34,360
Speaker 2: guys to take in. You cannot believe a word these

1415
01:08:34,400 --> 01:08:37,680
Speaker 2: people say. You have to verify literally everything they say,

1416
01:08:38,000 --> 01:08:41,040
Speaker 2: because there was you know, we've had instance after instance

1417
01:08:41,520 --> 01:08:44,320
Speaker 2: guy an immigrant shot and killed that they lied about

1418
01:08:44,360 --> 01:08:47,679
Speaker 2: the circumstances of an American citizens shot five times. They've

1419
01:08:47,720 --> 01:08:50,280
Speaker 2: already been caught in lies with regard to how that

1420
01:08:50,439 --> 01:08:52,800
Speaker 2: all went down. There was another video that I didn't

1421
01:08:52,840 --> 01:08:56,280
Speaker 2: include in our lineup here, but of a fifteen year

1422
01:08:56,320 --> 01:08:59,320
Speaker 2: old who was being arrested and they claimed no, no, no,

1423
01:08:59,560 --> 01:09:03,360
Speaker 2: this was from months ago and she was part of robberies. No. Actually,

1424
01:09:03,439 --> 01:09:06,360
Speaker 2: people went and like there she is in ice custody

1425
01:09:06,400 --> 01:09:10,360
Speaker 2: and were able to ascertain that the details matched what

1426
01:09:10,520 --> 01:09:13,800
Speaker 2: activists were saying and not remotely what DHS was saying.

1427
01:09:14,000 --> 01:09:14,800
Speaker 4: So that's say.

1428
01:09:14,880 --> 01:09:19,640
Speaker 2: The thing is they will just lie, like brazenly, blatantly lie,

1429
01:09:19,720 --> 01:09:22,840
Speaker 2: even with the Venezuela like drug boats, zero proof that

1430
01:09:22,920 --> 01:09:24,840
Speaker 2: any of them had drugs. One of them now has

1431
01:09:24,880 --> 01:09:27,839
Speaker 2: come out wasn't even from Venezuela. It was a Colombian national.

1432
01:09:28,240 --> 01:09:30,760
Speaker 2: So you know, that's the other thing you're contending with

1433
01:09:30,880 --> 01:09:33,720
Speaker 2: here is just the way that they will invent their

1434
01:09:33,800 --> 01:09:37,440
Speaker 2: own reality to justify the things that are totally unjustifiable.

1435
01:09:37,520 --> 01:09:40,599
Speaker 2: And here we have another instance of that, perfect setup

1436
01:09:40,880 --> 01:09:43,920
Speaker 2: for this next piece. So this is a reporter for

1437
01:09:44,160 --> 01:09:47,719
Speaker 2: a local reporter who she's a camera woman, camera woman, okay,

1438
01:09:47,880 --> 01:09:52,080
Speaker 2: and who was arrested here in a very aggressive manner.

1439
01:09:52,360 --> 01:09:55,880
Speaker 2: And what DHS had originally said was that she had

1440
01:09:55,920 --> 01:09:59,400
Speaker 2: been throwing objects at ice and that she was arrested

1441
01:09:59,439 --> 01:10:03,840
Speaker 2: effectively for assaulting these law enforcement officers. Well, lo and behold,

1442
01:10:03,880 --> 01:10:06,160
Speaker 2: she was released with no charges. So you tell me

1443
01:10:06,400 --> 01:10:09,320
Speaker 2: whether that really happen or not. So they arrest the

1444
01:10:09,400 --> 01:10:12,720
Speaker 2: reporter and then they swipe another car on the way

1445
01:10:12,960 --> 01:10:16,800
Speaker 2: out and just take off, and let's put C five

1446
01:10:16,880 --> 01:10:18,479
Speaker 2: up on the screen just to confirm what I was

1447
01:10:18,479 --> 01:10:22,040
Speaker 2: saying before release no charges. After they said that, oh,

1448
01:10:22,160 --> 01:10:26,080
Speaker 2: she'd been assaulting law enforcement officers. And this comes emily

1449
01:10:26,200 --> 01:10:28,800
Speaker 2: after there'd been a court decision saying, hey, you have

1450
01:10:28,880 --> 01:10:31,439
Speaker 2: to like people will have their right to protest and

1451
01:10:31,960 --> 01:10:35,400
Speaker 2: journalists need to be protected. There was also a ruling

1452
01:10:35,439 --> 01:10:39,240
Speaker 2: about they've been just pepper spraying basically anyone and everything,

1453
01:10:39,320 --> 01:10:43,000
Speaker 2: including that pastor that we showed last week. And there

1454
01:10:43,080 --> 01:10:45,479
Speaker 2: was another ruling saying, hey, you can't just indiscriminately use

1455
01:10:45,560 --> 01:10:48,680
Speaker 2: these riot control methods. People have to be allowed to

1456
01:10:49,000 --> 01:10:52,080
Speaker 2: exercise their First Amendment rights. None of those rulings seems

1457
01:10:52,080 --> 01:10:53,400
Speaker 2: to be slowing them down at this point.

1458
01:10:54,080 --> 01:10:57,320
Speaker 3: So and in this case, it's a i think a

1459
01:10:57,360 --> 01:10:59,720
Speaker 3: helpful example because there's a flurry of these videos coming

1460
01:10:59,760 --> 01:11:02,400
Speaker 3: out every day on social media and they're not I mean,

1461
01:11:02,439 --> 01:11:07,160
Speaker 3: they're obviously being used as political footballs. But in this case,

1462
01:11:07,320 --> 01:11:09,840
Speaker 3: there was a video that came out that did make

1463
01:11:09,920 --> 01:11:13,120
Speaker 3: it look like something had been thrown in the direction

1464
01:11:13,680 --> 01:11:16,519
Speaker 3: of the ice vehicle. It's very strange. It just like

1465
01:11:16,760 --> 01:11:19,719
Speaker 3: how someone just was she just standing on the street,

1466
01:11:19,800 --> 01:11:21,600
Speaker 3: like right, It's like it does look like something is

1467
01:11:21,640 --> 01:11:24,640
Speaker 3: thrown at the ice vehicle. That said the chart they

1468
01:11:24,680 --> 01:11:28,479
Speaker 3: did not. They obviously didn't have enough evidence to make

1469
01:11:28,520 --> 01:11:31,080
Speaker 3: that stick. Otherwise you know that they would have kept

1470
01:11:31,160 --> 01:11:34,120
Speaker 3: there and made a stick. Yeah, So the same thing

1471
01:11:34,160 --> 01:11:36,160
Speaker 3: has happened a couple of times. So, for example, there

1472
01:11:36,240 --> 01:11:39,000
Speaker 3: was this video going viral of an ICE agent saying

1473
01:11:39,040 --> 01:11:42,040
Speaker 3: to a US citizen, turn around or you're getting the dog.

1474
01:11:42,840 --> 01:11:46,080
Speaker 3: Turn around or you're getting the dog. Uh. If you

1475
01:11:46,200 --> 01:11:49,680
Speaker 3: are a conservative, that should that should send chills down

1476
01:11:49,720 --> 01:11:53,759
Speaker 3: your spine. This US citizen presented their driver's license, according

1477
01:11:53,800 --> 01:11:57,240
Speaker 3: to the attorney, presented their driver's license to ICE, yep,

1478
01:11:57,360 --> 01:12:00,439
Speaker 3: and still ended up being detained, which is the easiest

1479
01:12:00,439 --> 01:12:02,640
Speaker 3: thing in the world to verify if someone is a

1480
01:12:02,800 --> 01:12:05,240
Speaker 3: US citizen in a case like that. On the other hand,

1481
01:12:05,479 --> 01:12:08,240
Speaker 3: I have seen videos go viral where you don't see

1482
01:12:08,680 --> 01:12:11,080
Speaker 3: the part where someone is trying to like actually obstruct

1483
01:12:11,240 --> 01:12:14,720
Speaker 3: or whatever. So it's these things are going everywhere. But

1484
01:12:15,000 --> 01:12:18,960
Speaker 3: at the same time, I would just say for people

1485
01:12:19,040 --> 01:12:20,840
Speaker 3: on the right who are looking at some of this stuff,

1486
01:12:21,760 --> 01:12:24,400
Speaker 3: watch the full video, read the full news coverage of

1487
01:12:24,479 --> 01:12:28,120
Speaker 3: some of these cases, because you will find some really

1488
01:12:28,240 --> 01:12:30,000
Speaker 3: ugly stuff in the surface.

1489
01:12:29,720 --> 01:12:31,880
Speaker 2: And you can't like the same way you were skeptical

1490
01:12:31,960 --> 01:12:35,520
Speaker 2: of the government when it was Joe Biden be skeptical,

1491
01:12:35,680 --> 01:12:38,880
Speaker 2: Please do not take these peopils. And I feel the

1492
01:12:38,920 --> 01:12:42,000
Speaker 2: same like I think this administration is extreme in the

1493
01:12:42,080 --> 01:12:44,040
Speaker 2: way that they will just brazenly lie about something we

1494
01:12:44,080 --> 01:12:46,559
Speaker 2: can all watch with our own eyes. But your job

1495
01:12:46,760 --> 01:12:49,519
Speaker 2: as an informed citizen, and certainly our job as journalists,

1496
01:12:49,680 --> 01:12:53,040
Speaker 2: is to be skeptical of government claims and to not

1497
01:12:53,280 --> 01:12:55,640
Speaker 2: just accept them at face value, which is also a

1498
01:12:55,720 --> 01:12:57,960
Speaker 2: lesson that most of the news media needs to take

1499
01:12:58,320 --> 01:13:01,840
Speaker 2: as well. In any case, I've got one more here

1500
01:13:01,960 --> 01:13:04,000
Speaker 2: for you, which is another US citizen.

1501
01:13:04,200 --> 01:13:04,479
Speaker 3: Okay.

1502
01:13:05,240 --> 01:13:07,800
Speaker 2: I had right about this guy's case, and he, you know,

1503
01:13:08,680 --> 01:13:11,640
Speaker 2: went on with Tim Miller over the Bulwark podcast to

1504
01:13:11,760 --> 01:13:14,080
Speaker 2: talk about his experience. So this year's a This is

1505
01:13:14,120 --> 01:13:18,320
Speaker 2: a US veteran, Okay, American citizen who was on his

1506
01:13:18,400 --> 01:13:21,080
Speaker 2: way to work at a farm. He works security at

1507
01:13:21,080 --> 01:13:24,000
Speaker 2: this farm, and there were apparently like protests in the

1508
01:13:24,080 --> 01:13:25,920
Speaker 2: area and there was some ice action in the area,

1509
01:13:26,040 --> 01:13:27,680
Speaker 2: and so he pulls up and he's trying to talk

1510
01:13:27,720 --> 01:13:29,439
Speaker 2: to the ice agents, say hey, I'm just trying to

1511
01:13:29,439 --> 01:13:32,439
Speaker 2: get to work here, and I'll let him describe what

1512
01:13:32,640 --> 01:13:34,120
Speaker 2: then ensues. Let's take a listen.

1513
01:13:34,479 --> 01:13:37,600
Speaker 11: They put me on suicide watch, and they put me

1514
01:13:37,680 --> 01:13:41,559
Speaker 11: in this. They put me in the cell. I'm naked

1515
01:13:42,360 --> 01:13:45,599
Speaker 11: in like a hospital dress and just a concrete bed

1516
01:13:45,680 --> 01:13:49,120
Speaker 11: with like a mattress, like a thin mattress, and they

1517
01:13:49,200 --> 01:13:51,280
Speaker 11: leave the light on twenty four to seven. There's a

1518
01:13:51,360 --> 01:13:54,840
Speaker 11: glass door and officers just always standing like sitting out

1519
01:13:54,880 --> 01:13:57,960
Speaker 11: there as the psychiatric nurse comes and checks on me

1520
01:13:58,040 --> 01:14:02,360
Speaker 11: once a day. And so from Friday morning to Sunday

1521
01:14:02,439 --> 01:14:07,799
Speaker 11: afternoon when I'm released, I'm literally on in that cell, naked,

1522
01:14:08,080 --> 01:14:14,240
Speaker 11: just in that room, like this is a nightmare. I Like, yeah,

1523
01:14:14,520 --> 01:14:16,400
Speaker 11: I was. Just the entire time I was in there,

1524
01:14:16,439 --> 01:14:19,240
Speaker 11: I was just hoping, like like I would just want

1525
01:14:19,280 --> 01:14:22,120
Speaker 11: to see my kids again, Like literally, that's the only

1526
01:14:22,160 --> 01:14:24,360
Speaker 11: thing that matters, Like I literally just want to see

1527
01:14:24,400 --> 01:14:24,800
Speaker 11: my kids.

1528
01:14:25,000 --> 01:14:26,760
Speaker 4: Does your family know where you were?

1529
01:14:27,240 --> 01:14:31,680
Speaker 11: Like all they knew was that I was arrested by

1530
01:14:31,760 --> 01:14:35,320
Speaker 11: ice and that was it. They didn't know where they

1531
01:14:35,400 --> 01:14:37,960
Speaker 11: took me. They didn't know where I was.

1532
01:14:38,840 --> 01:14:40,360
Speaker 4: So he's there trying to get to work.

1533
01:14:40,640 --> 01:14:43,320
Speaker 2: Okay, He's trying to talk to the ice or whoever

1534
01:14:43,400 --> 01:14:45,639
Speaker 2: else is on the scene, like, hey, that that's my place.

1535
01:14:45,680 --> 01:14:47,519
Speaker 2: I'm not trying to for I'm just trying to get

1536
01:14:47,560 --> 01:14:50,960
Speaker 2: to work they give them. They surround his car aggressively,

1537
01:14:51,200 --> 01:14:53,559
Speaker 2: like agent son all side, and then they're giving him

1538
01:14:53,560 --> 01:14:56,719
Speaker 2: all these contradictory directions get out of the car, go forward,

1539
01:14:56,920 --> 01:14:59,040
Speaker 2: back up, and so he's trying to comply.

1540
01:14:59,520 --> 01:15:02,320
Speaker 4: They spread tear gas. Tear gas is filling up his car.

1541
01:15:02,680 --> 01:15:05,880
Speaker 2: He's having trouble seeing, he's trying to travel, navigating away.

1542
01:15:06,320 --> 01:15:08,680
Speaker 2: They go away for a while, and then as he's

1543
01:15:08,720 --> 01:15:11,479
Speaker 2: trying to exit, they come back and surround his car

1544
01:15:11,560 --> 01:15:14,840
Speaker 2: again and break his window open and you know, aggressively

1545
01:15:14,960 --> 01:15:19,400
Speaker 2: arrest him. And then this again, American citizen held four days,

1546
01:15:19,960 --> 01:15:22,160
Speaker 2: no phone call to his family, no phone call to

1547
01:15:22,240 --> 01:15:23,639
Speaker 2: a lawyer, no nothing.

1548
01:15:23,880 --> 01:15:25,960
Speaker 4: You hear the degrading treatment.

1549
01:15:25,920 --> 01:15:29,280
Speaker 2: He was subjected to, to put on suicide watch, forced

1550
01:15:29,360 --> 01:15:32,200
Speaker 2: in this you know cell with a glass door, naked

1551
01:15:32,600 --> 01:15:37,040
Speaker 2: for days. And he was like, my idea is literally

1552
01:15:37,120 --> 01:15:38,880
Speaker 2: in the car that you drag me from, like I

1553
01:15:38,960 --> 01:15:43,040
Speaker 2: can show you and doesn't matter, Like this is so

1554
01:15:43,280 --> 01:15:46,559
Speaker 2: if you think this just stays with immigrants or people

1555
01:15:46,600 --> 01:15:48,800
Speaker 2: that you think this would be acceptable to be done to,

1556
01:15:48,880 --> 01:15:52,240
Speaker 2: which you know, like that's a whole other conversation. It

1557
01:15:52,320 --> 01:15:55,639
Speaker 2: doesn't We already have so many instances of the way

1558
01:15:55,760 --> 01:15:59,040
Speaker 2: that they will just snatch up any American citizen who

1559
01:15:59,320 --> 01:16:01,400
Speaker 2: they don't like gets in their way or looks a

1560
01:16:01,439 --> 01:16:03,559
Speaker 2: little too brown, or is it the wrong job site

1561
01:16:03,720 --> 01:16:04,360
Speaker 2: or whatever.

1562
01:16:04,960 --> 01:16:08,080
Speaker 3: It's yeah, this guy is a veteran. This guy put

1563
01:16:08,120 --> 01:16:08,719
Speaker 3: on the uniform.

1564
01:16:08,840 --> 01:16:10,840
Speaker 4: Yeah, serve the country or country yep.

1565
01:16:11,000 --> 01:16:15,000
Speaker 3: And it's another case where citizenship should have been easy

1566
01:16:15,320 --> 01:16:17,599
Speaker 3: to verify. I get that this was a big braid.

1567
01:16:19,160 --> 01:16:21,840
Speaker 3: You know, this raid actually did. And it's it's sort

1568
01:16:21,840 --> 01:16:24,040
Speaker 3: of like the South Side apartment building that we were

1569
01:16:24,080 --> 01:16:27,240
Speaker 3: talking about earlier Crystal there. If you if you read

1570
01:16:28,240 --> 01:16:29,800
Speaker 3: people who had lived there for a long time, they

1571
01:16:30,000 --> 01:16:32,720
Speaker 3: pretty much like there's some good reporting that it had

1572
01:16:32,760 --> 01:16:35,280
Speaker 3: an obvious gang problem, that it was like a place

1573
01:16:35,320 --> 01:16:39,560
Speaker 3: where legitimately probably is room for ice activity. And it

1574
01:16:39,640 --> 01:16:42,679
Speaker 3: sounds like it's the same place. It was the same

1575
01:16:42,760 --> 01:16:46,000
Speaker 3: case in the situation, although not for a criminal perspective,

1576
01:16:46,040 --> 01:16:50,880
Speaker 3: but from a like a just a non citizens and yeah,

1577
01:16:51,080 --> 01:16:53,040
Speaker 3: or maybe they had a silent I don't know, but

1578
01:16:53,520 --> 01:16:55,360
Speaker 3: whatever it was, it sounds like there were people who

1579
01:16:55,360 --> 01:16:57,240
Speaker 3: were non citizens that were working there, that the ice

1580
01:16:57,600 --> 01:17:02,200
Speaker 3: was whatever, Like you cannot do that in a way

1581
01:17:02,439 --> 01:17:05,920
Speaker 3: that over and over again repeatedly is detaining US citizens now,

1582
01:17:06,080 --> 01:17:08,280
Speaker 3: like that is what we have seen in multiple occasions.

1583
01:17:08,320 --> 01:17:11,040
Speaker 3: So if you're going to do it, if we were

1584
01:17:11,080 --> 01:17:13,960
Speaker 3: talking about those eighty thousand arrests criminal arrests during the

1585
01:17:14,000 --> 01:17:16,960
Speaker 3: Biden administrations of not the last year the Biden administration,

1586
01:17:17,080 --> 01:17:18,920
Speaker 3: and it was similar numbers every year over the last

1587
01:17:18,920 --> 01:17:23,479
Speaker 3: few years. So if you have that many criminals in

1588
01:17:23,520 --> 01:17:28,679
Speaker 3: the country, legitimate criminals in the country, you are hurting

1589
01:17:29,479 --> 01:17:35,040
Speaker 3: efforts to actually do that by making the entire process

1590
01:17:35,280 --> 01:17:38,800
Speaker 3: less legitimate, whether it just looks less legitimate, whether you

1591
01:17:39,200 --> 01:17:44,519
Speaker 3: end up legally like putting those efforts in jeopardy, whatever

1592
01:17:44,560 --> 01:17:47,360
Speaker 3: it is, it's wrong to do this to US citizens

1593
01:17:47,479 --> 01:17:49,720
Speaker 3: without verifying what they're telling you, which is that they're

1594
01:17:49,800 --> 01:17:51,760
Speaker 3: US citizens. There's no reason that he should have been

1595
01:17:51,840 --> 01:17:53,760
Speaker 3: kept as long as he was. There's no reason that

1596
01:17:53,840 --> 01:17:56,800
Speaker 3: another person when he handed the officer's ID should have

1597
01:17:56,920 --> 01:17:59,320
Speaker 3: ended up in detention like these are just it's stupid,

1598
01:17:59,439 --> 01:18:03,720
Speaker 3: and it is to undermine any like credibility or any

1599
01:18:03,760 --> 01:18:08,960
Speaker 3: public support there is for actually going after criminals, because

1600
01:18:09,000 --> 01:18:10,439
Speaker 3: people are going to say, well, we don't trust that

1601
01:18:10,439 --> 01:18:11,559
Speaker 3: you're actually going after criminals.

1602
01:18:11,640 --> 01:18:15,160
Speaker 2: Look at all, there I mean, the drug trafficking convictions

1603
01:18:15,240 --> 01:18:18,960
Speaker 2: under this administration way down, Human trafficking convictions under this

1604
01:18:19,000 --> 01:18:20,479
Speaker 2: administration way down.

1605
01:18:20,640 --> 01:18:24,000
Speaker 4: Because as a percentage, no in total members.

1606
01:18:24,280 --> 01:18:27,599
Speaker 2: Because not only do you have Steven Miller can put

1607
01:18:27,640 --> 01:18:29,960
Speaker 2: this next piece up on the screen, who is confirmed

1608
01:18:30,120 --> 01:18:32,280
Speaker 2: running the show here and also directing a lot of

1609
01:18:32,320 --> 01:18:35,320
Speaker 2: our foreign policy. According to this CNN report, which I

1610
01:18:35,320 --> 01:18:37,880
Speaker 2: don't think will be surprised to anyone, but they lay

1611
01:18:37,960 --> 01:18:40,559
Speaker 2: out that within the administration they call him the prime minister,

1612
01:18:41,120 --> 01:18:43,519
Speaker 2: which you know, in most systems with a prime minister

1613
01:18:43,640 --> 01:18:45,719
Speaker 2: in a president, like if you think about Israel for example,

1614
01:18:45,920 --> 01:18:47,479
Speaker 2: Benjamin Atniolo is the prime minister.

1615
01:18:47,640 --> 01:18:48,639
Speaker 4: He is the driving force.

1616
01:18:49,600 --> 01:18:53,680
Speaker 2: But in any case, you know what Steven Miller has prioritized,

1617
01:18:53,800 --> 01:18:58,000
Speaker 2: not just with ICE, but with DHS overall, with CBP,

1618
01:18:58,880 --> 01:19:03,479
Speaker 2: with the with FBI, is to push them all into

1619
01:19:03,720 --> 01:19:06,960
Speaker 2: these shows of force at you know, farm raids and

1620
01:19:07,040 --> 01:19:10,519
Speaker 2: home depot raids and whatever. So if you're pulling FBI

1621
01:19:10,880 --> 01:19:14,000
Speaker 2: after off of legitimate casework to send them in to

1622
01:19:14,240 --> 01:19:16,000
Speaker 2: like you know, get kitted up and rate a farm

1623
01:19:16,120 --> 01:19:18,160
Speaker 2: or whatever, right, right, of course you're going to have

1624
01:19:18,640 --> 01:19:22,320
Speaker 2: less actual law enforcement going after the bad guys, and

1625
01:19:22,800 --> 01:19:26,160
Speaker 2: that's in fact what we have seen. So even though

1626
01:19:26,200 --> 01:19:29,000
Speaker 2: they the language they use is about criminals and going

1627
01:19:29,040 --> 01:19:30,680
Speaker 2: after the worst of the worst and all of this,

1628
01:19:31,240 --> 01:19:34,880
Speaker 2: the realities the polar opposite of that, because of where

1629
01:19:34,960 --> 01:19:37,800
Speaker 2: they've put their resources are about going out you know,

1630
01:19:37,920 --> 01:19:41,360
Speaker 2: the fruit stand vendor or the autistic child of the

1631
01:19:41,400 --> 01:19:44,439
Speaker 2: fruit stand vendor, rolling up on schools at pickup time,

1632
01:19:44,560 --> 01:19:47,720
Speaker 2: and those sorts of things. That's where they've pushed their resources,

1633
01:19:48,160 --> 01:19:51,240
Speaker 2: rather than the more tedious and difficult casework that is

1634
01:19:51,320 --> 01:19:54,519
Speaker 2: required to actually go after the you know, the violent

1635
01:19:54,600 --> 01:19:56,200
Speaker 2: criminals and the bad guys you would want them to.

1636
01:19:56,560 --> 01:19:59,280
Speaker 3: It's such a mess. I mean, that's sounds obvious.

1637
01:19:59,520 --> 01:19:59,680
Speaker 6: It is.

1638
01:20:00,280 --> 01:20:02,720
Speaker 3: It's just a mess, and maybe it actually does. I

1639
01:20:02,800 --> 01:20:04,880
Speaker 3: shouldn't say that because maybe it doesn't sound obvious, because

1640
01:20:04,880 --> 01:20:07,080
Speaker 3: I think that's part of what bothers me about a

1641
01:20:07,160 --> 01:20:10,920
Speaker 3: lot of this a the immorality than b I feel

1642
01:20:10,920 --> 01:20:15,639
Speaker 3: like they're taking advantage of to some extent, conservatives who

1643
01:20:16,479 --> 01:20:18,280
Speaker 3: just believe, Like Marjorie tay Green said this in a

1644
01:20:18,320 --> 01:20:22,360
Speaker 3: way too. She was like, he's there are people who

1645
01:20:22,439 --> 01:20:25,160
Speaker 3: waited in line for these rallies in the cold, and

1646
01:20:25,720 --> 01:20:27,920
Speaker 3: you know, like they they're the ones that are now

1647
01:20:28,000 --> 01:20:32,000
Speaker 3: being given the back seat to you know, people in

1648
01:20:32,280 --> 01:20:36,360
Speaker 3: Trump's orbit who maybe hated him before or like spent

1649
01:20:36,439 --> 01:20:39,280
Speaker 3: money in the case of like Mark Zuckerberg to defeat him.

1650
01:20:39,600 --> 01:20:42,240
Speaker 3: And there are a lot of those average people who

1651
01:20:43,040 --> 01:20:47,360
Speaker 3: put their trust in this administration not to create more

1652
01:20:47,439 --> 01:20:52,960
Speaker 3: of a surveillance state and to create more lawless federal enforcement,

1653
01:20:53,280 --> 01:20:56,760
Speaker 3: and not to detain you as It's like, they put

1654
01:20:56,800 --> 01:20:59,439
Speaker 3: their trust in the administration, and I get like, I don't.

1655
01:20:59,479 --> 01:21:01,560
Speaker 3: This is why I don't put any trust in any politician,

1656
01:21:02,240 --> 01:21:04,599
Speaker 3: and that's probably why I'm in media and journalism. It's

1657
01:21:04,600 --> 01:21:06,479
Speaker 3: probably the same with you, Chris, Like I don't trust

1658
01:21:06,560 --> 01:21:10,479
Speaker 3: people in positions of power, but people did trust them.

1659
01:21:10,800 --> 01:21:13,240
Speaker 3: And it just feels like, I know a lot of

1660
01:21:13,240 --> 01:21:17,840
Speaker 3: people support tough immigration enforcement, and I understand where that

1661
01:21:17,920 --> 01:21:21,640
Speaker 3: comes from, of course, but when you dig into a

1662
01:21:21,680 --> 01:21:25,479
Speaker 3: lot of these stories, it's farcical what ends up happening

1663
01:21:25,560 --> 01:21:28,400
Speaker 3: with again, veterans, people who serve the country, who are

1664
01:21:28,560 --> 01:21:32,720
Speaker 3: US citizens. Yeah, it just it just obviously sucks. So

1665
01:21:33,040 --> 01:21:38,280
Speaker 3: it's they're taking advantage of well intentioned people who trust them.

1666
01:21:38,479 --> 01:21:40,479
Speaker 2: Yeah, And I think Zorn said this, and I think

1667
01:21:40,520 --> 01:21:42,639
Speaker 2: this was well said, is like, this is what's being

1668
01:21:42,680 --> 01:21:44,559
Speaker 2: given to people in lieu of dealing with the cost

1669
01:21:44,600 --> 01:21:47,640
Speaker 2: of living crisis, in lieu of like delivering for them economically.

1670
01:21:47,840 --> 01:21:50,519
Speaker 2: Is like, we'll give you an ASMR video of people

1671
01:21:50,600 --> 01:21:53,240
Speaker 2: being deported. We'll give you, you know, a show of

1672
01:21:53,320 --> 01:21:56,000
Speaker 2: force and a blue city that you may think is

1673
01:21:56,080 --> 01:21:58,800
Speaker 2: like Scarier where you don't like the political leadership. That's

1674
01:21:58,840 --> 01:22:01,759
Speaker 2: basically what people are being fed in lieu of actually

1675
01:22:01,840 --> 01:22:05,920
Speaker 2: bringing down prices and addressing their economic needs. One last note,

1676
01:22:05,960 --> 01:22:08,439
Speaker 2: I just wanted to mention about that Steven Miller piece

1677
01:22:08,479 --> 01:22:11,960
Speaker 2: from CNN, which is interesting for this block but also

1678
01:22:12,080 --> 01:22:14,280
Speaker 2: just an interesting thing for us to know going forward

1679
01:22:14,360 --> 01:22:18,519
Speaker 2: and to take note of, is that basically Stephen Miller

1680
01:22:18,960 --> 01:22:22,760
Speaker 2: is more and Miller and Rubio are more important for

1681
01:22:23,160 --> 01:22:28,760
Speaker 2: Department of Defense policy than hegxth and so here's the line.

1682
01:22:28,760 --> 01:22:29,000
Speaker 4: They say.

1683
01:22:29,040 --> 01:22:32,920
Speaker 2: Pentagon officials now routinely present Stephen Miller and Marco Rubio

1684
01:22:33,360 --> 01:22:36,120
Speaker 2: with operational options and relevant data. They then decide what

1685
01:22:36,200 --> 01:22:37,640
Speaker 2: to do with it and work directly with chairmen and

1686
01:22:37,720 --> 01:22:40,639
Speaker 2: Joint chiefs of Staff Dan Caine to execute their military plans,

1687
01:22:40,960 --> 01:22:43,439
Speaker 2: said the source who characterized the two men as far

1688
01:22:43,720 --> 01:22:47,240
Speaker 2: more involved than Pete Hegseth in deciding how the military

1689
01:22:47,560 --> 01:22:48,320
Speaker 2: is used.