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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: Let's talk about Fox News and this war on Christmas.

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Speaker 2: So this is a fascinating one. You've got a Fox

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Speaker 2: News anchor who is saying we all need to buy

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Speaker 2: artificial Christmas trees to make room for the AI data

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Speaker 2: centers because they're going to take over the real Christmas

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Speaker 2: tree farms. Let's gohead and take a listen to this.

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Speaker 3: This farm is one hundred and fifty acres. Yeah, they're

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Speaker 3: going to be farms, be transmission lines that have to

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Speaker 3: go through developments and farms. That's the very nature of

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Speaker 3: a growing economy like that, everybody needs to get on board.

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Speaker 1: I just don't.

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Speaker 3: It's a you know what, buy a fake tree.

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Speaker 1: Oh oh, digger right in my heart? What I have

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Speaker 1: a fake tree coming time for this? I know I

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Speaker 1: can't afford the tree.

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Speaker 2: One can only imagine the executive orders and state mandated

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Speaker 2: real Christmas trees that would arrive. If a lib said

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Speaker 2: something equivalent O run MSNBC.

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Speaker 1: You know what, I'll defend them. That would be a

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Speaker 1: good executive order. It's a good thing. In fact. Uh,

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Speaker 1: you know, I'm from Texas. I'm from Texas. We don't

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Speaker 1: do real trees. Okay, right, it's not really a thing.

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Speaker 4: You know.

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Speaker 1: Pretty much everybody has an artificier. Some people pay the extra.

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Speaker 1: My wife feels very passionately about real Christmas trees, which

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Speaker 1: were some original fights in our marriage. I have come

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Speaker 1: to become a real tree guy. Real trees are good,

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Speaker 1: and you know, it does get you a little bit

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Speaker 1: more in the Christmas spirit. But more importantly about this

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Speaker 1: whole data center buying artificial trees. This is a perfect

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Speaker 1: example of what we've talked about with the mindset around AI,

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Speaker 1: which is you need to personally sacrifice so that the

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Speaker 1: slop can continue so that you need to personally sacrifice,

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Speaker 1: not just monetarily, but let's say the human experience putting

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Speaker 1: up a tree in your house, you know, having fun

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Speaker 1: with your children, decorating that, so that we can have

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Speaker 1: this impersonal technology which the CEOs say is going to

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Speaker 1: take their job and to rip even more of that

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Speaker 1: away from us. I actually can't think of a better

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Speaker 1: kind of clip to that encapsulates that and what worshiping

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Speaker 1: GDP really looks like, because that's what it is. That

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Speaker 1: that is the explicit kind of view of what that

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Speaker 1: means and of what people hold dear and why being

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Speaker 1: you know, an anti AI disposition is so increasingly popular

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Speaker 1: in American politics today.

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Speaker 2: Yeah, no, absolutely, I mean that's what they're saying, is like,

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Speaker 2: we need to change our lives and our traditions to

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Speaker 2: make way we need to adjust for the AI revolution

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Speaker 2: that is here that is not really meant to benefit

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Speaker 2: us at all. It's all to enrich and consolidate power

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Speaker 2: in the hands of a very few number of people.

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Speaker 2: I do have some good news on the AI front, however,

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Speaker 2: Kirson Cinema, who is a former senator and cartoon villain.

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Speaker 2: She has gone from being in the Senate to now

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Speaker 2: being a lobbyist for AI data centers. She was pushing

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Speaker 2: one in this one particular Arizona town and they overwhelmingly,

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Speaker 2: i think unanimously the city council voted it down. But

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Speaker 2: in any case, she was also welcomed onto Fox and

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Speaker 2: Friends to make the case for AI data centers and

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Speaker 2: how they are actually more eco friendly than they were

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Speaker 2: in the past.

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Speaker 5: SoC let's take a listen to that.

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Speaker 6: As you know, there's this massive effort kind of on

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Speaker 6: the left to kind of come into communities and give

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Speaker 6: misinformation around water and energy and AI data centers, and

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Speaker 6: that's a lot of misinformation. This administration is doing a

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Speaker 6: good job of telling the truth, creating more energy domestically,

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Speaker 6: the National Energy Dominance Council doing a whole of government

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Speaker 6: approach to ensure that we're creating our own natural gas,

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Speaker 6: our own nuclear to power the future. We're actually using

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Speaker 6: less water with AI Data centers and in the past.

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Speaker 6: So that communication is bringing people together who just want efficient, proactive,

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Speaker 6: good lives where their kids have a better life than

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Speaker 6: they had. So this is I think a really important

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Speaker 6: issue that has nothing to do with partisanship.

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Speaker 2: So keep in mind again this lady is paid to

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Speaker 2: utter this absolute garbled nonsense. The fact that she can

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Speaker 2: go up there with a straight face and be like, oh,

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Speaker 2: this is all good for American energy production, Like we

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Speaker 2: have looked the way the grid is already being strained

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Speaker 2: by the power usage of these AI data centers. And

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Speaker 2: I also find it very interesting saga that she is

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Speaker 2: framing this as a partisan issue, that oh, it's all

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Speaker 2: these left wing people who are coming in and telling

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Speaker 2: you bad things about the AI data centers, while the

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Speaker 2: President is telling you the truth that this is a

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Speaker 2: good thing for the American economy, etc. Because the reality is,

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Speaker 2: as we've covered here extensively, you know, if you look

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Speaker 2: at the Georgia elections, if you look at the Virginia elections,

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Speaker 2: if you look at local opposition to AI data centers

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Speaker 2: being located here, it is very cross ideological and there

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Speaker 2: is not a clear left right divide here. So that's

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Speaker 2: something that clearly she and whoever's paying her are trying

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Speaker 2: to push.

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Speaker 1: Yeah, I mean, it's the Christen Cinema thing. It's just

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Speaker 1: too much. And I think what everybody can appreciate now

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Speaker 1: is how overtly corrupt so much of this is you

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Speaker 1: have not only the I mean, this is an X

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Speaker 1: senator who took multiple votes on behalf of big industry,

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Speaker 1: which we covered here at the time, left in order

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Speaker 1: to personally enrich herself. I mean, and you know, by

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Speaker 1: the way, there was all this debate they were like,

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Speaker 1: does she really believe this a shimatt. It's like, no,

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Speaker 1: she just wanted to get I mean, it looks like

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Speaker 1: she just wanted to get paid right in terms of

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Speaker 1: her advocacy, and now she's like pro Trump now hilariously

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Speaker 1: for big business reasons. I just want to put it

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Speaker 1: all together just to show how corrupt so much of

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Speaker 1: this is. I recently flagged this. I was reading through

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Speaker 1: you know, I took interest in this de banking conversation.

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Speaker 1: I think the conversation at in d banking is important.

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Speaker 1: We've talked about Lefang with this before. There were legitimate

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Speaker 1: instances of political deep banking that happened, which are really

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Speaker 1: concerning at a free speech level. These were weaponized by

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Speaker 1: the tech guys who started saying that depbanking happened in

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Speaker 1: order to loosen restrictions around their industry. Famously, we had

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Speaker 1: the Mark Andresen moment on Joe Rogan, but there are

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Speaker 1: many others. We had Mark Zuckerberg and others for pro

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Speaker 1: crypto interests. And again I think there are real concerns

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Speaker 1: around industry specific for politics. But I could not get

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Speaker 1: over as I was reading this new D Banking report

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Speaker 1: only weirdos like me. This is the Office of the

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Speaker 1: Comptroller from the Treasury, so they did a nine month investigation.

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Speaker 1: They're going to look into who's getting D banked and

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Speaker 1: you would be amazed to find that this new D

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Speaker 1: Banking report signals out not just crypto and other industries,

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Speaker 1: but pornography. Let's go ahead and put this up here

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Speaker 1: on the screen. The OCC's preliminary finding show that between

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Speaker 1: twenty and twenty twenty three, nine banks made inappropriate distinctions

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Speaker 1: among customers in the division of financial services on the

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Speaker 1: basis of lawful business activities by maintaining policies restricting access

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Speaker 1: to banking services or requiring escalating reviews and approvals. Sectors

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Speaker 1: subjected to restricted access included oil and gas, coal mining, firearms,

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Speaker 1: private prisons, tobacco, eas cigarets, manufacturers, adult entertainment, and digital assets.

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Speaker 1: Now let's stick with porn and with crypto. You know,

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Speaker 1: there's this idea that these banks are ideologically opposed to

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Speaker 1: porn and to crypto. These are some of the greediest

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Speaker 1: people in the world. You think they don't want to

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Speaker 1: take their money. Do you know why they don't want

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Speaker 1: to take their money with crypto? They're worried about KYC

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Speaker 1: Know your Customer laws and specifically money laundering, which they

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Speaker 1: have a legal mandate not to to help prevent and

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Speaker 1: to help report to the FBI or to the US

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Speaker 1: authorities on porn. It's the same thing what the banks

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Speaker 1: suddenly grew a conscience. Do you think that that's the

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Speaker 1: banks are like, oh, my only fans, we can't be

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Speaker 1: taking their money, or the banks are looking at human

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Speaker 1: trafficking laws and at revenge porn laws, and at the

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Speaker 1: internal enforcement of these gigantic conglomerates which are addicting all

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Speaker 1: of these American men and which are flagrantly in violation

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Speaker 1: of multiple trafficking laws on the books right now to

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Speaker 1: help prevent women who are being exploited posted online international

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Speaker 1: rings which are profiting to the tune of billions of dollars,

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Speaker 1: and are like, yeah, we can't take their money because

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Speaker 1: to do so would actually be a violation, specifically of

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Speaker 1: trying to protect all of these girls, of which these

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Speaker 1: laws were passed on their behalf. Maybe it's the latter.

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Speaker 1: And so the Trump administration here taking significant pressure from

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Speaker 1: the porn industry and others, which again are salivating at

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Speaker 1: the idea of access to the legitimate banking system, and

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Speaker 1: now effectively pressuring our largest financial institutions to basically take

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Speaker 1: their money and look the other way. I can't think

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Speaker 1: of anything worse. You know. Look, you know, tobacco, fine, whatever,

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Speaker 1: I get it. You know, that's one of those where

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Speaker 1: you know, I think tobacco is horrible smoking. Obviously, it

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Speaker 1: kills a lot of people, the industry, et cetera. That's

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Speaker 1: one which again I get not wanting, you know, especially

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Speaker 1: with lawsuits and everything, you don't necessarily want to be

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Speaker 1: connected to that. But with pornography and with crypto, like

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Speaker 1: we said, the banks don't care about conscience. They're doing

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Speaker 1: it for a reason. It's not ideological, it's.

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Speaker 2: Not even I mean, these banks were happy to do

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Speaker 2: business with like after de commission because the money was green.

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Speaker 2: They're like, yes, let's do the deals. It's fine. We

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Speaker 2: don't care like we're going to continue to hang out

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Speaker 2: with him. We've had more and more reporting about that.

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Speaker 2: So yeah, it's not like they're out here being some

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Speaker 2: like good lefties like we're gonna, you know, not work

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Speaker 2: with the And it is interesting to me, uh, going

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Speaker 2: back to the Mark Andresen Rogan appearance, and just to

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Speaker 2: remind people, he used the conservative perception and probably a

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Speaker 2: time it was like legitimate, legitimate reality that there was

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Speaker 2: ideological debanking to then launch a war on the Consumer

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Speaker 2: Financial Protection Bureau, which had actually stood up Rogi Chopra,

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Speaker 2: who was ahead of that agency, stood up against ideological debanking.

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Speaker 2: But they he found it to be a useful construct.

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Speaker 2: And then even some of the examples that he offered

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Speaker 2: that he was like, oh, this person was de banked

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Speaker 2: just because they're like a conservative and they like Trump,

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Speaker 2: and then you dig one layer Dee burn and it's

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Speaker 2: like or maybe they were committing like scams and fraud.

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Speaker 2: I think people need to really remember, especially crypto is

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Speaker 2: rife with all kinds of scams and rug poles and

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Speaker 2: fraud and money laundering, Like none of it's being prosecuted

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Speaker 2: anymore under the Trump administration.

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Speaker 5: But that has been the reality of crypto.

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Speaker 2: So there have been very good reasons why banks would

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Speaker 2: look a scance and not want to get involved with

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Speaker 2: some of these sorts of things. So it's a classic

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Speaker 2: playbook that they have used. David Sachs did this too

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Speaker 2: in his defenseive AI of them like completely deregulating AI.

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Speaker 2: They take a culture war issue and they frame it

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Speaker 2: in a way to protect like a pro oligarch agenda.

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Speaker 2: And so that's a lot of what's going on here

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Speaker 2: as well. You remember David Sachs and his tweet he

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Speaker 2: was talking about like, oh, if you don't want to

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Speaker 2: black George Washington, then we've got to make sure States

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Speaker 2: can never regulate AI and we could just do whatever

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Speaker 2: we want to do. So you know, similar kind of

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Speaker 2: bait and switch going on here as well.

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Speaker 1: Yeah, these culture war stuff, you know, in absence of

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Speaker 1: big arguments around here. By the way, again, like I

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Speaker 1: said on AI, I've never had more pushback from the

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Speaker 1: White House. It's kind of fascinating. I enjoy arguing with

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Speaker 1: them about it. There is a legitimate view about the

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Speaker 1: AI States thing. I don't agree with it necessarily, but

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Speaker 1: I'm telling you right now, this porn thing, there's no

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Speaker 1: defense one hundred percent. It's being pushed by the industry.

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Speaker 1: It's just like weed I talked about yesterday. You can

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Speaker 1: defend weed rescheduling all you want, and if it was

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Speaker 1: done through a real process, I would look, I would

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Speaker 1: fight it, but I would I'd be like, okay, so

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Speaker 1: be it. But this is literally because the White House

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Speaker 1: tea the staff were about to talk about was hired

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Speaker 1: by a weed company whenever she was outside of office

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Speaker 1: and then brought that former client to the Oval office

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Speaker 1: who has billions of dollars at stake and whose stock

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Speaker 1: massively profited. That's it. That's the only reason that this happened.

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Speaker 1: Because a bunch of multimillionaires hired pro Trump X campaign officials,

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Speaker 1: donated or and or hired to the Trump campaign and

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Speaker 1: then got their way to the Oval and then did

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Speaker 1: a corrupt deal in order to get it done. Like

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Speaker 1: that's it. It's the same thing here with porn. It's

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Speaker 1: because I mean, also, you know, you kind of have

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Speaker 1: to understand if you're saying banks should disregard KYC regulations

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Speaker 1: whenever it comes to you know, like crypto and others,

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Speaker 1: then you know, oh, okay, well it is kind of difficult.

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Speaker 1: Let's say, to apply it to the pornography industry for

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Speaker 1: them in general. They want to make it as easy

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Speaker 1: as possible for all of these vice industries to do business.

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Speaker 1: I think that's disgusting in an era where the very

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Speaker 1: basics of life have never been more on affordable or

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Speaker 1: unattainable for a lot of younger people, and that these

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Speaker 1: are the very things which are destroying them from the

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Speaker 1: inside out. And you know, this is a big talk

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Speaker 1: from the administration which cares about Christianity or moral purpose

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Speaker 1: or any of that. I have never seen a more

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Speaker 1: socially libertarian administry, Not even the Biden administration did shit

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Speaker 1: like this. Let's go to C four, you know, just again,

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Speaker 1: just to give you an example, Trump is now considering

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Speaker 1: wiping federal gambling winnings taxes. Let me explain something again.

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Speaker 1: There's no such thing as gambling winnings. Only four per

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Speaker 1: They did a study one hundred of thousands people who

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Speaker 1: did sports betting. Four percent of people had a profit

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Speaker 1: after five years four percent, ninety six percent. You're gonna lose,

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Speaker 1: You're a loser, one hundred percent. Now, all this will

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Speaker 1: do is give casinos and sports betting companies free advertising. Saying,

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Speaker 1: by the way, when you have this parlay which you're

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Speaker 1: definitely going to hit. It will also be tax free.

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Speaker 1: It is a gig gigantic giveaway and brand you know

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Speaker 1: benefit to these gambling it's so repulsive, like loosening restrictions

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Speaker 1: on weed, porn, gamble. It's literally like they're personally attacking me.

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Speaker 1: But look, this is not this isn't about me, Okay

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Speaker 1: at the end of the day, like you can live

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Speaker 1: your life the way that you want. But but and

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Speaker 1: this is just my opinion. I think that the government

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Speaker 1: should not make it easier easier for multi billion dollar

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Speaker 1: industries to corrupt you, to corrupt the people around you,

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Speaker 1: to corrupt your community. The point of the government of

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Speaker 1: our society is to promote human flourishing. There's nothing about

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Speaker 1: this which does any of that. All it does is

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Speaker 1: vastly enriched people who wake up every single day thinking

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Speaker 1: about how to milk you for as much money as possible.

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Speaker 1: Those people are my enemies.

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Speaker 2: The gambling thing is crazy because it comes to a

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Speaker 2: moment too when I think there's increasing recognition of like,

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Speaker 2: oh this this is a disaster, right, this is a problem.

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Speaker 5: You know. There, we've got a major issue with addiction.

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Speaker 2: We've got a major issue with people who are you know,

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Speaker 2: giving all their life save and betting on whether it's

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Speaker 2: boarding events. Now we've got you know, CNN making a

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Speaker 2: deal with the betting companies you bet on literally everything.

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Speaker 2: All these scandals coming out about insider trading and rigging

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Speaker 2: the markets, all that sort of stuff. And you know,

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Speaker 2: in the past, when we've had things that society is

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Speaker 2: considered to be like a vice or behavior, they want

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Speaker 2: to discourage, but they don't want to outright ban. Oftentimes

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Speaker 2: what you do is you actually tax it, you make

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Speaker 2: it more expensive, or you make it more difficult. Here,

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Speaker 2: you're going in the opposite direction, Like instead of doing

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Speaker 2: a vice tax, you're doing like a vice text credit,

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Speaker 2: you're doing like a vice encouragement, actively trying to funnel

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Speaker 2: people into something that we know is fundamentally rigged, exploitative, predatory,

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Speaker 2: and damaging. So yeah, I mean, you know, come get

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Speaker 2: your Christian nationalists. This is it is really pretty wild

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Speaker 2: what's going on here. But it's the whole administration, the

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Speaker 2: core foundation. There are no foundational principles outside of just

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Speaker 2: like a money grop, I mean, that's what it is.

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Speaker 2: It's just like a heist. They are taking everything that's

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Speaker 2: not nailed down. Everybody's in it for their own bag.

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Speaker 2: Like you know, even the foreign policy is run for

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Speaker 2: a bunch of oligarchs. Bag the domestic policy, the economy

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Speaker 2: is run for them. That's the whole thing. And so

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Speaker 2: you know the fact that the gambling and the poor

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Speaker 2: industry and whatever getting their seats at the table and

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Speaker 2: getting their taste no surprise.

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Speaker 1: Absolutely, all right, guys, I think we all talked a

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Speaker 1: little bit too much. So we're going to have to

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Speaker 1: go to Susie Wiles before we welcome our friend Juan

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Speaker 1: David Rojas. Turning now to Susie Wilds. This just broke

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Speaker 1: this morning. We had to add this in. This is

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Speaker 1: one of the craziest interviews by a senior White House

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Speaker 1: official I have ever seen in my life, in any

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Speaker 1: other White House, any other time, normal time. She's getting

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Speaker 1: fired today under this president who knows. Let's put this

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Speaker 1: up here on the screen. This is a New York

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Speaker 1: Times write up of a multi page interview that Susie

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Speaker 1: Wiles has been sitting with Vanity Fair for over the

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Speaker 1: last year, in which she gets candid about the entire

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Speaker 1: Trump presidency admits that many of the things that the

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Speaker 1: White House set are lies, admits that Elon is using ketamine.

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Speaker 1: She criticizes the president. She says that the vice president

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Speaker 1: is a conspiracy theorist who his conversion to away from

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Speaker 1: never trump Ism was political. She says Trump has an

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Speaker 1: alcoholic personality. So let me read from the New York

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Speaker 1: Times write up of this lengthy vanity fair profile. President

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Speaker 1: Trump's chief of staff said she tried to get him

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Speaker 1: to end his score settling against political enemies after ninety

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Speaker 1: days in office, but acknowledged the administration still ongoing push

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Speaker 1: for prosecutions has been fueled in part by the President's

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Speaker 1: desire for retribution. So number one, the mortgage fraud case

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Speaker 1: against Letitia James or against James Comy, all of that,

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Speaker 1: it's not about the case, it's political retribution from the president.

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Speaker 1: She just tweeted it out. That's an old meme from

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Speaker 1: the twenty tens. Is just tweeting out what you know,

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Speaker 1: as journalists, we've been working on this story, trying to

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Speaker 1: prove that this is the true reason why Trump is

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Speaker 1: doing this, even though yes, it's obvious we need evidence,

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Speaker 1: and now we have the White House chief of staff

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Speaker 1: He's like, oh yeah, He's doing it for political retribution purposes.

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Speaker 1: That's what these prosecutions are about. Okay, let's sit with that.

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Speaker 1: Let's sit with that as we continue again for over

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Speaker 1: eleven interviews that she's given the Vice president, she said,

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Speaker 1: quote has been a conspiracy theorist for a decade. His

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Speaker 1: conversion from Trump critic to ally was based on, on principle,

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Speaker 1: what was sort of political. Elon Musk is an avowed

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Speaker 1: ketamine user in odd duck whose actions were not always

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Speaker 1: rational and left her quote aghast Russ's vote the budget

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Speaker 1: director quote is a right wing absolute zealot, and the

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Speaker 1: Attorney General Pambondi quote completely whiffed in handling of the

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Speaker 1: Epstein files. She continued, by the way, to say about Venezuela,

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Speaker 1: this is my personal favorite. She said here about the boats,

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Speaker 1: that the policy of the United States is that or

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Speaker 1: for Donald Trump is to quote blow up as many

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Speaker 1: boats as possible until Maduro decides to leave office. That's

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Speaker 1: what she said. So admitting none of this is about drugs,

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Speaker 1: it's not about fentanyl, which is all bullshit and which

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Speaker 1: again I knew that I've been saying that here. But

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Speaker 1: to have the White House Chief of Staff just come

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Speaker 1: out and be like, oh, yeah, yeah, it's all fake

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Speaker 1: and it's about regime change. Ok. Thank you, thank you,

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Speaker 1: Madam Susie Wiles. You know, I mean continuing here. Describing

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Speaker 1: Trump as an alcoholic personality with respect to quote operates

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Speaker 1: with the view that there's nothing he can't do. That's

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Speaker 1: not usually something I would describe as an alcoholic. But okay,

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Speaker 1: she said, so much of her job revolves around the

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Speaker 1: president's personality and stream of consciousness public comments. She said

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Speaker 1: that during the whole tariffs thing that the Vice President

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Speaker 1: jad Vance was sent into convince Trump to pump the

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Speaker 1: brakes on tariffs, and she said that there was a

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Speaker 1: huge disagreement that they were deciding. People were predicting disaster

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Speaker 1: on usaid. She thinks no rational person could think the

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Speaker 1: USAID process was a good one. Nobody. I mean, the

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Speaker 1: whole thing is crazy and we're just scratching the surface.

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Speaker 1: I haven't even been able to I haven't been able

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Speaker 1: to get even all of them just yet, what these

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Speaker 1: comments are. But trashing the cabinet admitting the Epstein files

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Speaker 1: is a huge problem. Says she can't understand why Gleane

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Speaker 1: Maxwell was moved to a different prison, says that the

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Speaker 1: Epstein files was mishandled says that Venezuela is really all

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Speaker 1: about regime change, that usaid was a disaster, that she

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Speaker 1: was a keep in mind, you know, part of why

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Speaker 1: this is so crazy is it's not just about telling

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Speaker 1: the truth. This White House, her employee, Caroline Leavitt took

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Speaker 1: to the podium to defend every single part of this

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Speaker 1: bullshit at the time, as the official part of the admitted,

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Speaker 1: and she's admitting that in private. Oh my god, we

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Speaker 1: were a gas by it. We were disgusted. We tried

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Speaker 1: to move off of this policy. The prosecutions are political.

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Speaker 1: I mean, how is that going to play in court?

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Speaker 1: How is this going to play if this is a

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Speaker 1: true court? James comy, congratulations, you just got acquitted, all right,

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Speaker 1: Letitia James who they've tried to indict what three more times?

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Speaker 5: Great times from a grand.

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Speaker 1: Jury and can't get it. Yeah, good luck, you know,

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Speaker 1: to the prosecutors who are trying to do this. It's

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Speaker 1: just so crazy. I have never seen anything like this

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Speaker 1: in my entire time covering Washington.

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Speaker 5: Ever, it is wild.

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Speaker 2: Let me read and she, by the way, undercut a

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Speaker 2: number of other policies. She talked about how they mean

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Speaker 2: to be more careful with deportations. She said she did

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Speaker 2: not agree with pardoning the violent January sixth ers, that

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Speaker 2: she pushed to just do the nonviolent ones and was overruled. There,

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Speaker 2: So all kinds of the like most like core and

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Speaker 2: controversial Trump two point zero policies. She's effectively undercutting here

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Speaker 2: everything from the day one j six rioters pardons up

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Speaker 2: into Venezuela, where she's just giving the game away, that

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Speaker 2: the blowing up of the bots isn't about drugs, it's

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Speaker 2: about regime change. On the political retribution piece, let me

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Speaker 2: read a little bit of this, so she said, quote,

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Speaker 2: we have a loose agreement that the score settling will

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Speaker 2: end before the first ninety days are over, she said

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Speaker 2: at the time when that did not happen. By August,

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Speaker 2: she told mister Whipple that I don't think he's on

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Speaker 2: a retribution tour, but said that Trump was aiming at

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00:23:31,840 --> 00:23:34,600
Speaker 2: people who did bad things and coming after him. In

432
00:23:34,640 --> 00:23:37,480
Speaker 2: some cases it may look like retribution, and there may

433
00:23:37,520 --> 00:23:39,920
Speaker 2: be an element of that from time to time.

434
00:23:40,080 --> 00:23:43,440
Speaker 5: Who would blame him, not me? And so in terms

435
00:23:43,520 --> 00:23:44,000
Speaker 5: of just.

436
00:23:44,119 --> 00:23:48,040
Speaker 2: Actual real world impact, yeah, any of those court cases,

437
00:23:48,400 --> 00:23:53,480
Speaker 2: Tisha James, James, call me Eric Swallwell, Adam Schiff. There's

438
00:23:53,520 --> 00:23:55,399
Speaker 2: been all sorts of talk about people that are going

439
00:23:55,440 --> 00:23:58,439
Speaker 2: to go after on this mortgage fraud bullshit. Those cases

440
00:23:58,480 --> 00:24:00,920
Speaker 2: will all be undercut today extent that they had any

441
00:24:01,480 --> 00:24:06,639
Speaker 2: likes to begin with, by this overt admission from the

442
00:24:06,880 --> 00:24:10,439
Speaker 2: Chief of Staff that yes, these are political. This is

443
00:24:10,520 --> 00:24:14,119
Speaker 2: about retribution, that's what he's doing. So that in and

444
00:24:14,160 --> 00:24:18,760
Speaker 2: of itself is wild to undercut jd Vance. Trump may

445
00:24:18,800 --> 00:24:20,960
Speaker 2: not really care that much about that, but to say,

446
00:24:21,119 --> 00:24:23,200
Speaker 2: you know, oh yeah, of course he converted to trump

447
00:24:23,280 --> 00:24:24,000
Speaker 2: Ism because it was.

448
00:24:23,920 --> 00:24:25,320
Speaker 5: Political, which is obvious.

449
00:24:25,359 --> 00:24:27,240
Speaker 2: But you know, here you've got the Chief of Staff

450
00:24:27,240 --> 00:24:30,320
Speaker 2: acknowledging what everybody could see the reality in front of

451
00:24:30,400 --> 00:24:33,800
Speaker 2: their eyes, calling him a conspiracy theorist, talking about Elon Musk,

452
00:24:33,880 --> 00:24:37,919
Speaker 2: drug use, all of it. I mean, yeah, it's pretty wild.

453
00:24:38,160 --> 00:24:40,240
Speaker 2: And the other thing about this saga is the White

454
00:24:40,280 --> 00:24:43,680
Speaker 2: House participated with all of this, like this was authorized.

455
00:24:43,680 --> 00:24:46,280
Speaker 2: I mean there's a big, like glossy photo shoot involved

456
00:24:46,320 --> 00:24:50,000
Speaker 2: with a bunch of different administration officials. Other officials spoke

457
00:24:50,080 --> 00:24:53,680
Speaker 2: to this reporter as well, So this was all this

458
00:24:53,720 --> 00:24:57,760
Speaker 2: whole project. This whole write up was greenlit by the administration,

459
00:24:58,560 --> 00:25:00,359
Speaker 2: even though you know, I would be very so prize

460
00:25:00,400 --> 00:25:02,399
Speaker 2: if they knew the extent of what Susie Wiles was

461
00:25:02,400 --> 00:25:02,800
Speaker 2: saying here.

462
00:25:02,880 --> 00:25:05,480
Speaker 1: No, they didn't know. I can already my phone's it's

463
00:25:05,520 --> 00:25:07,439
Speaker 1: pinging a little bit here right now. Yeah, I'll just

464
00:25:07,520 --> 00:25:09,600
Speaker 1: I'll just leave it at that. In terms of what

465
00:25:09,800 --> 00:25:13,879
Speaker 1: people around Washington, including people who are I mean, here's

466
00:25:13,880 --> 00:25:16,800
Speaker 1: the thing. It's an unspoken rule here in DC when

467
00:25:16,840 --> 00:25:19,240
Speaker 1: you work for somebody, you never make yourself the story.

468
00:25:19,520 --> 00:25:22,480
Speaker 1: Never so the White House chief of staff, many chiefs

469
00:25:22,480 --> 00:25:24,840
Speaker 1: of staff, you know, to presidents and others, they don't

470
00:25:24,880 --> 00:25:27,680
Speaker 1: sit for interviews. Why because your job is to execute

471
00:25:27,720 --> 00:25:30,520
Speaker 1: the agenda of the president. You're never supposed to be

472
00:25:30,600 --> 00:25:33,360
Speaker 1: the main character. Ever, that's the job of the principle.

473
00:25:33,440 --> 00:25:35,679
Speaker 1: I know this sounds like kind of servile, but like

474
00:25:35,920 --> 00:25:38,080
Speaker 1: in a certain way, like that's the job, right, That's

475
00:25:38,080 --> 00:25:41,000
Speaker 1: what you do as a staffer. And so for sitting

476
00:25:41,040 --> 00:25:46,119
Speaker 1: for eleven interviews here, eleven interviews and just letting loose

477
00:25:46,359 --> 00:25:50,280
Speaker 1: about your thoughts about how Pam Bondi's an idiot, she

478
00:25:50,359 --> 00:25:54,320
Speaker 1: said completely whift on Epstein. I mean, if the White

479
00:25:54,359 --> 00:25:57,720
Speaker 1: House Chief of Staff thinks this, How can we as

480
00:25:57,720 --> 00:26:00,840
Speaker 1: citizens have any confidence in our government if the White

481
00:26:00,880 --> 00:26:03,240
Speaker 1: House Chief of Staff is openly saying that what the

482
00:26:03,280 --> 00:26:06,040
Speaker 1: President is saying is a lie, Is that many cabinet

483
00:26:06,040 --> 00:26:10,280
Speaker 1: members are idiots or incompetent? Is that doge which was

484
00:26:10,280 --> 00:26:13,560
Speaker 1: held up as a central pillar of the administration there

485
00:26:13,560 --> 00:26:16,280
Speaker 1: at the time, what she was quote aghast by it?

486
00:26:16,640 --> 00:26:18,639
Speaker 1: First of all, what are you doing in that job? Lady?

487
00:26:18,800 --> 00:26:20,359
Speaker 1: What are you even doing? If you think this you

488
00:26:20,359 --> 00:26:23,359
Speaker 1: should leave right? What does it say about you that

489
00:26:23,440 --> 00:26:25,280
Speaker 1: you think all of this and that you're sticking around

490
00:26:25,720 --> 00:26:27,680
Speaker 1: to quote do something about it because you're obviously you're

491
00:26:27,680 --> 00:26:29,439
Speaker 1: not doing a very good job. You actually don't have

492
00:26:29,480 --> 00:26:31,760
Speaker 1: that much influence if that's what you think that you're doing.

493
00:26:32,359 --> 00:26:36,800
Speaker 1: And then second, yeah, I just I cannot get over

494
00:26:37,640 --> 00:26:41,800
Speaker 1: how you can just openly admit so many things which

495
00:26:41,840 --> 00:26:44,119
Speaker 1: again we all know are true. But there is a

496
00:26:44,160 --> 00:26:46,480
Speaker 1: difference legally, first of all, in a court of law

497
00:26:46,760 --> 00:26:49,760
Speaker 1: to say that you have a political prosecution. But second,

498
00:26:49,840 --> 00:26:51,680
Speaker 1: like on regime change, that's got to be one of

499
00:26:51,720 --> 00:26:55,159
Speaker 1: the most consequential policies of the entire Trump administration. And

500
00:26:55,200 --> 00:26:58,800
Speaker 1: to just come out and be like, our flimsy bullshit

501
00:26:58,840 --> 00:27:01,840
Speaker 1: pretext is in fact, the bullshit is amazing. I mean

502
00:27:01,880 --> 00:27:03,800
Speaker 1: it's shocking to the cares well.

503
00:27:03,840 --> 00:27:08,080
Speaker 2: And that's something in a future administration if you've got

504
00:27:08,119 --> 00:27:10,800
Speaker 2: Democrats in control, like people need to think about the

505
00:27:11,040 --> 00:27:14,560
Speaker 2: you know, potential prosecutions they clearly are worried about, like

506
00:27:14,600 --> 00:27:18,119
Speaker 2: with the double tap strike, whether that was legal or not. Obviously,

507
00:27:18,200 --> 00:27:20,320
Speaker 2: like I think the whole thing is illegal, but they

508
00:27:20,359 --> 00:27:23,520
Speaker 2: clearly got nervous about that as well, judging by the reaction.

509
00:27:24,040 --> 00:27:28,520
Speaker 2: So when you have her coming out and publicly undercutting

510
00:27:29,000 --> 00:27:33,480
Speaker 2: the bullshit legal pretext that they've been using, Yeah, that's

511
00:27:33,520 --> 00:27:36,440
Speaker 2: that's a big problem for Pete Hegseth. That's a big

512
00:27:36,480 --> 00:27:40,000
Speaker 2: problem for that admiral what was it, Admiral Bradley who

513
00:27:40,040 --> 00:27:41,440
Speaker 2: was kind of thrown under the bus. That's a big

514
00:27:41,480 --> 00:27:43,880
Speaker 2: problem for all of the seals that were involved in

515
00:27:43,880 --> 00:27:44,560
Speaker 2: this policy.

516
00:27:44,600 --> 00:27:46,040
Speaker 5: It's that's a big issue.

517
00:27:46,560 --> 00:27:49,840
Speaker 2: Let me read the part of the Epstein portion, because

518
00:27:49,880 --> 00:27:53,280
Speaker 2: this is pretty wild too. So this is about Pam Bondi.

519
00:27:53,440 --> 00:27:55,399
Speaker 2: She also gets into Trump a little bit with regard

520
00:27:55,440 --> 00:27:57,879
Speaker 2: to Epstein. So, as you mentioned before, Soccercy says, I

521
00:27:57,880 --> 00:28:02,040
Speaker 2: think Bondi completely whipped, appreciating that that was very targeted

522
00:28:02,040 --> 00:28:05,159
Speaker 2: group that cared about this. First she gave them binders

523
00:28:05,160 --> 00:28:09,000
Speaker 2: full of nothingness. Then she said the witness list or

524
00:28:09,040 --> 00:28:11,840
Speaker 2: the client list was on her desk. There is no

525
00:28:11,960 --> 00:28:14,800
Speaker 2: client list, and it's sure as hell wasn't on her desk.

526
00:28:15,320 --> 00:28:18,119
Speaker 2: Mister Vance, by contrast, she said, understood the sensitivity because

527
00:28:18,160 --> 00:28:22,240
Speaker 2: he himself was a conspiracy theorist. She said so again,

528
00:28:22,920 --> 00:28:25,760
Speaker 2: saying directly, when Pam Bondi told you that this was

529
00:28:25,800 --> 00:28:28,920
Speaker 2: on her desk, she was lying, there is no client list.

530
00:28:29,040 --> 00:28:31,560
Speaker 2: It's sure as hell was not on her desk. That

531
00:28:31,760 --> 00:28:33,640
Speaker 2: is what she had to say about that. And then

532
00:28:34,359 --> 00:28:37,080
Speaker 2: she says that she has read the Epstein documents and

533
00:28:37,200 --> 00:28:41,080
Speaker 2: acknowledged Trump's name is in them. Quote, we know he's

534
00:28:41,120 --> 00:28:43,760
Speaker 2: in the file, and he's not in the file doing

535
00:28:43,840 --> 00:28:48,480
Speaker 2: anything awful. Nothing awful, Sager. So rest easy there. But

536
00:28:48,600 --> 00:28:50,960
Speaker 2: neither apparently, this is one more part on this. Neither

537
00:28:50,960 --> 00:28:54,080
Speaker 2: apparently is Bill Clinton. Asked about Trump's claims going back

538
00:28:54,200 --> 00:28:56,960
Speaker 2: years that Clinton had visited the Epstein island as well,

539
00:28:57,080 --> 00:29:00,320
Speaker 2: said there is no evidence. Asked if there's incriminating evidence

540
00:29:00,360 --> 00:29:02,440
Speaker 2: about Clinton and the files as Trump has suggested. She

541
00:29:02,520 --> 00:29:06,840
Speaker 2: says the President was wrong about that. So she's saying

542
00:29:06,960 --> 00:29:11,000
Speaker 2: Trump is lying. Trump is in the files but not

543
00:29:11,040 --> 00:29:15,240
Speaker 2: doing anything awful, and that he is lying about what

544
00:29:15,280 --> 00:29:17,600
Speaker 2: the files contained with regard to Bill Clinton.

545
00:29:17,600 --> 00:29:20,640
Speaker 1: It's so crazy, man, I truly have never seen anything

546
00:29:20,720 --> 00:29:24,400
Speaker 1: like this. The last interview that was anything remotely comparable,

547
00:29:24,440 --> 00:29:27,440
Speaker 1: in my opinion, was maybe Steve Bannon in the first

548
00:29:27,600 --> 00:29:31,280
Speaker 1: hundred Days where he openly trashed Jared Kushner and other

549
00:29:31,360 --> 00:29:34,600
Speaker 1: members of the administration. Who was it to the American Prospect?

550
00:29:34,680 --> 00:29:36,400
Speaker 1: Is that right? It was some like kind of.

551
00:29:36,360 --> 00:29:38,240
Speaker 5: Left It was like New York magazine.

552
00:29:38,560 --> 00:29:39,800
Speaker 1: No, it was a lefty magazine.

553
00:29:40,040 --> 00:29:42,560
Speaker 2: I remember Near Magazine is kind of lefty. But anyway,

554
00:29:42,640 --> 00:29:44,520
Speaker 2: I don't remember exactly, but yeah.

555
00:29:44,280 --> 00:29:48,120
Speaker 1: There was that. But honestly, like Stan McCrystal, he was

556
00:29:48,160 --> 00:29:52,000
Speaker 1: the general in charge of Afghanistan at the time, and

557
00:29:52,120 --> 00:29:55,479
Speaker 1: Michael Hastings, the Rolling Stone journalist, ended up being delayed

558
00:29:55,480 --> 00:29:58,000
Speaker 1: and McCrystal, what did he say about Obama? He said

559
00:29:58,000 --> 00:30:00,240
Speaker 1: he was an idiot something like that. I had some

560
00:30:00,360 --> 00:30:02,959
Speaker 1: comment about Obama where he was like, he's dumb. Uh

561
00:30:03,080 --> 00:30:06,160
Speaker 1: published it and he was immediately fired. But that was

562
00:30:06,160 --> 00:30:07,560
Speaker 1: in the old rules. I don't know if that's going

563
00:30:07,600 --> 00:30:09,680
Speaker 1: to happen now. I have no idea I have. I mean,

564
00:30:09,800 --> 00:30:12,320
Speaker 1: how could you ever enter a cabinet meeting again when

565
00:30:12,640 --> 00:30:14,480
Speaker 1: I mean Susie Wilds, who I guess is one of

566
00:30:14,520 --> 00:30:17,560
Speaker 1: your technically kind of your boss, is out there just

567
00:30:17,640 --> 00:30:21,320
Speaker 1: trashing you, uh in the public. It's amazing, But that's

568
00:30:21,400 --> 00:30:25,000
Speaker 1: the world we live in. Is Cash Patel sitting for

569
00:30:25,120 --> 00:30:29,719
Speaker 1: interviews about his love life with Stephen Miller's wife, who's

570
00:30:29,960 --> 00:30:35,160
Speaker 1: dressed casually for some reason. This entire thing, I don't know.

571
00:30:35,360 --> 00:30:38,720
Speaker 1: I don't know what is happening to this uh, to

572
00:30:38,840 --> 00:30:44,080
Speaker 1: this government. But yeah, we're being confederacy and I don't

573
00:30:44,080 --> 00:30:46,800
Speaker 1: even have work. I'm literally speechless. How retarded this is.

574
00:30:47,000 --> 00:30:49,040
Speaker 1: It's crazy. It's fucking crazy.

575
00:30:49,880 --> 00:30:52,760
Speaker 2: So you have the chief of staff, so this is

576
00:30:52,800 --> 00:30:58,120
Speaker 2: not live trust arrangement, Trump's chief of staff saying he's

577
00:30:58,200 --> 00:31:02,280
Speaker 2: lying about the Epstein files, Pam Bondi was lying about

578
00:31:02,280 --> 00:31:06,760
Speaker 2: the Epstein files, that she disagrees with the deportation approach,

579
00:31:06,840 --> 00:31:09,880
Speaker 2: the USAID approach, that Elon Musk, who was handed the

580
00:31:09,920 --> 00:31:12,640
Speaker 2: keys to the whole freaking government, is a drug addict,

581
00:31:12,640 --> 00:31:14,560
Speaker 2: that russ vote who still has the keys. The whole

582
00:31:14,600 --> 00:31:17,200
Speaker 2: government is a right wing ID love that the vice

583
00:31:17,280 --> 00:31:23,680
Speaker 2: president is a conspiracy theorist. I mean, what more could

584
00:31:23,680 --> 00:31:27,280
Speaker 2: you possibly get into this series of interviews.

585
00:31:27,640 --> 00:31:28,840
Speaker 5: It's pretty wild. I don't know.

586
00:31:28,960 --> 00:31:32,320
Speaker 2: I mean, I have to think that there would be

587
00:31:32,400 --> 00:31:35,560
Speaker 2: some like, there has to be some blowback for this.

588
00:31:35,840 --> 00:31:38,920
Speaker 2: I mean, especially the parts where she says things about Trump,

589
00:31:38,920 --> 00:31:42,120
Speaker 2: in particular that he's lying and that she disagreed with

590
00:31:42,200 --> 00:31:44,440
Speaker 2: him on the J six pardons and you know, the

591
00:31:44,520 --> 00:31:48,360
Speaker 2: undercutting of the Venezuela policy. That's a live, active, very significant,

592
00:31:48,400 --> 00:31:51,800
Speaker 2: serious issue, and here she is just like giving the

593
00:31:51,840 --> 00:31:52,840
Speaker 2: game away on that one.

594
00:31:53,520 --> 00:31:53,920
Speaker 5: I don't know.

595
00:31:54,000 --> 00:31:56,400
Speaker 2: It's very different from my impression of her, Like I

596
00:31:56,400 --> 00:31:58,520
Speaker 2: didn't know anything about her, but it seemed like she

597
00:31:58,680 --> 00:32:01,280
Speaker 2: was just this very we haven't heard from her that

598
00:32:01,320 --> 00:32:03,280
Speaker 2: she is very like disciplined and buttoned up.

599
00:32:03,360 --> 00:32:04,959
Speaker 5: This is the total opposite of that.

600
00:32:05,520 --> 00:32:08,280
Speaker 1: Well, you know, maybe everything Trump everyone turns into a

601
00:32:08,360 --> 00:32:11,080
Speaker 1: narcissist around Trump. I guess you know that's possible, asked.

602
00:32:11,280 --> 00:32:14,320
Speaker 2: I also wonder how hill you know he's he's very

603
00:32:14,400 --> 00:32:16,080
Speaker 2: against alcohol at.

604
00:32:16,000 --> 00:32:17,120
Speaker 1: All right being described.

605
00:32:17,160 --> 00:32:20,959
Speaker 2: I also wonder how he'll react to being characterized as

606
00:32:21,040 --> 00:32:23,680
Speaker 2: having the personality of an alcoholic.

607
00:32:23,240 --> 00:32:25,800
Speaker 1: His brother that will land with him. Yeah, yeah, I

608
00:32:26,160 --> 00:32:30,080
Speaker 1: go over, No man, all right, more consequential news. We

609
00:32:30,160 --> 00:32:32,200
Speaker 1: got Juanda vid Rojas standing by to talk about Chile.

610
00:32:32,360 --> 00:32:37,760
Speaker 1: Let's get to it. Turning now to our friend Juanda

611
00:32:37,840 --> 00:32:41,120
Speaker 1: vid Rojas, who joins us live to discuss the most

612
00:32:41,200 --> 00:32:44,920
Speaker 1: recent elections in Chile, who have elected a new right

613
00:32:44,960 --> 00:32:50,040
Speaker 1: wing president, Jose Antonio cast by nearly twenty point margin one.

614
00:32:50,320 --> 00:32:53,880
Speaker 1: Our excellent analyst of all things Latin America joins us

615
00:32:53,880 --> 00:32:55,480
Speaker 1: to break down. Good to see you man, Thanks for

616
00:32:55,480 --> 00:32:57,760
Speaker 1: having guys. Absolutely so let's put this up here on

617
00:32:57,800 --> 00:33:01,560
Speaker 1: the screen. Why the Chilean left fail you discuss some

618
00:33:01,600 --> 00:33:04,280
Speaker 1: of the policies over the last five years, some of

619
00:33:04,320 --> 00:33:08,480
Speaker 1: the rise here of Jose Antonio coast about how exactly

620
00:33:08,520 --> 00:33:10,000
Speaker 1: this all came to be. Why don't you break some

621
00:33:10,040 --> 00:33:11,680
Speaker 1: of it down for us and maybe what it means

622
00:33:11,880 --> 00:33:14,120
Speaker 1: for the region and if anything, for the United States.

623
00:33:14,840 --> 00:33:19,760
Speaker 4: So gust he's you know, he's been called far right,

624
00:33:20,000 --> 00:33:25,520
Speaker 4: like ultra conservative. He's very conservative. He is an apologist

625
00:33:25,560 --> 00:33:29,400
Speaker 4: for the Pinochet dictatorship, which for decades after the dictatorship

626
00:33:29,520 --> 00:33:31,920
Speaker 4: of people on the right tried to like distance some

627
00:33:32,120 --> 00:33:37,520
Speaker 4: distance themselves from the former dictator. And actually the first

628
00:33:37,520 --> 00:33:40,920
Speaker 4: like few presidents after the dictatorship were all like center left.

629
00:33:41,240 --> 00:33:44,400
Speaker 4: It was only until Seast I think in like twenty ten,

630
00:33:45,400 --> 00:33:47,960
Speaker 4: who was like the first conservative when he was like

631
00:33:48,000 --> 00:33:51,200
Speaker 4: tried to distance himself from the dictatorship. Cost is like

632
00:33:51,400 --> 00:33:54,400
Speaker 4: he says that, like, you know, he condemns the human

633
00:33:54,480 --> 00:33:57,600
Speaker 4: rights abuses, but that you know, his legacy and especially

634
00:33:57,920 --> 00:34:02,600
Speaker 4: Pinochet's economic legacy were great. His brother actually was one

635
00:34:02,640 --> 00:34:06,240
Speaker 4: of the Chicago boys that advised Pinochet and like installing

636
00:34:06,280 --> 00:34:09,080
Speaker 4: this neoliberal model. The country is known as like the

637
00:34:09,120 --> 00:34:13,719
Speaker 4: cradle of neoliberalism. And so his brother, Migekas, actually served

638
00:34:13,719 --> 00:34:18,719
Speaker 4: as the president of Chile Central Bank during the dictatorship.

639
00:34:18,760 --> 00:34:20,840
Speaker 4: And so you know, there's a lot of polarization around this.

640
00:34:20,960 --> 00:34:23,799
Speaker 4: People on the left will say that, you know, will

641
00:34:23,800 --> 00:34:26,520
Speaker 4: condemn the human rights abuses and like a lot of

642
00:34:26,560 --> 00:34:29,040
Speaker 4: the legacy of the economic policies, and people on the

643
00:34:29,120 --> 00:34:31,359
Speaker 4: right will say, oh, look, but we had this great

644
00:34:31,440 --> 00:34:34,440
Speaker 4: economic growth afterwards and this kind of this kind of

645
00:34:34,440 --> 00:34:37,600
Speaker 4: flaws and some of these arguments. So that's a bit

646
00:34:37,640 --> 00:34:40,160
Speaker 4: of the rundown for the moment for the United States.

647
00:34:40,640 --> 00:34:44,920
Speaker 4: Cost Almost all right wingers in Latin America, you could

648
00:34:44,960 --> 00:34:48,320
Speaker 4: describe them as neo conservatives. They worshiped the United States.

649
00:34:48,360 --> 00:34:51,080
Speaker 4: They hate Russia, China, I run blah blah blah blah.

650
00:34:51,120 --> 00:34:53,040
Speaker 4: This guy like is going to be really good for

651
00:34:53,200 --> 00:34:57,239
Speaker 4: the current administration. He loves me. Lay a lot of

652
00:34:57,280 --> 00:35:00,880
Speaker 4: like posting after the election was showing how like geographically

653
00:35:01,320 --> 00:35:03,680
Speaker 4: the continent of South the South America is like divided

654
00:35:03,719 --> 00:35:06,360
Speaker 4: along the middle between right and left governments, and Melay,

655
00:35:06,480 --> 00:35:09,880
Speaker 4: what he did is that he posted like the the

656
00:35:09,960 --> 00:35:12,640
Speaker 4: like western half that are like conservative governments, this like

657
00:35:12,719 --> 00:35:16,400
Speaker 4: tech bro like futurism stuff with like skyscrapers, and then

658
00:35:16,560 --> 00:35:19,320
Speaker 4: the leftist governments are a bunch of like Brazilian favollas.

659
00:35:19,719 --> 00:35:21,200
Speaker 4: So that's to give you an idea.

660
00:35:21,280 --> 00:35:22,000
Speaker 5: Got it, gotcha.

661
00:35:22,120 --> 00:35:26,279
Speaker 2: So they're they're excited about like the prospera type ification

662
00:35:26,640 --> 00:35:27,880
Speaker 2: of those countries.

663
00:35:28,080 --> 00:35:30,040
Speaker 4: So yeah, that's a good way of putting it.

664
00:35:30,600 --> 00:35:35,240
Speaker 2: So his his brother was a Chicago School neoliberal economic

665
00:35:35,320 --> 00:35:41,440
Speaker 2: adjustment austerity guy. Dad was a Nazi. He's a Pinochet apologist.

666
00:35:41,840 --> 00:35:43,480
Speaker 2: This is a lot, it's a lot to take it.

667
00:35:43,520 --> 00:35:46,640
Speaker 2: So what was it that you know, people were responding

668
00:35:46,680 --> 00:35:50,000
Speaker 2: to to reject the the you know, more left leaning

669
00:35:50,040 --> 00:35:52,920
Speaker 2: government and go with this guy who you know, I mean,

670
00:35:52,920 --> 00:35:56,560
Speaker 2: his politics are pretty radical from those familiar collect Uh

671
00:35:56,960 --> 00:36:01,319
Speaker 2: connections and his embrace or justification of Pinochet but also

672
00:36:01,360 --> 00:36:04,040
Speaker 2: the embrace of Malay. Also says he wants to consult

673
00:36:04,080 --> 00:36:07,920
Speaker 2: with Bikelly with regards to to crime. So, I mean,

674
00:36:07,960 --> 00:36:10,759
Speaker 2: this is a pretty dramatic turn what led to it?

675
00:36:11,920 --> 00:36:15,720
Speaker 4: Yeah, So I will say that Kas despite his past

676
00:36:16,040 --> 00:36:18,000
Speaker 4: and and like he this is the third time he

677
00:36:18,120 --> 00:36:20,880
Speaker 4: ran for president, and previous other times he was like

678
00:36:20,960 --> 00:36:23,359
Speaker 4: really hardline on abortion, he kind of toned that down

679
00:36:24,120 --> 00:36:27,600
Speaker 4: this time around. He is honestly, as far as like

680
00:36:27,640 --> 00:36:30,600
Speaker 4: anyone can really say, a committed democrat, he's not. He said,

681
00:36:30,640 --> 00:36:32,640
Speaker 4: he's not interested in like trying to take over all

682
00:36:32,719 --> 00:36:38,120
Speaker 4: the institutions, persecute his opponents, and like govern for life

683
00:36:38,400 --> 00:36:41,439
Speaker 4: like Pinochet, and in general you can he even also

684
00:36:41,480 --> 00:36:44,279
Speaker 4: say that like the candidate that he defeated was the

685
00:36:44,320 --> 00:36:47,399
Speaker 4: Communist Party candidate. She was nominated by the Communist Party,

686
00:36:47,440 --> 00:36:49,920
Speaker 4: but for communists, honestly, she was pretty moderate. She was

687
00:36:49,960 --> 00:36:53,320
Speaker 4: really critical of like human rights abuses by like Maduro

688
00:36:53,360 --> 00:36:55,799
Speaker 4: and Artaica in Latin America, which is I said, like

689
00:36:56,160 --> 00:36:59,840
Speaker 4: in some other time that it's rare for like leftists

690
00:36:59,880 --> 00:37:02,759
Speaker 4: to openly like celebrate Maduro. It's also rare for them

691
00:37:02,760 --> 00:37:06,640
Speaker 4: to be stridently critical of him too, So that's something

692
00:37:07,320 --> 00:37:10,080
Speaker 4: interesting in Chilean politics, and I think that explains a

693
00:37:10,080 --> 00:37:12,880
Speaker 4: lot why so many people were willing to gravitate towards him.

694
00:37:13,480 --> 00:37:17,240
Speaker 4: As for the failings of the current government, current President

695
00:37:17,400 --> 00:37:20,160
Speaker 4: Gabriel Borodich, he won in twenty twenty one, he was

696
00:37:20,200 --> 00:37:23,759
Speaker 4: seen as like the shining star on the international left.

697
00:37:23,760 --> 00:37:26,520
Speaker 4: The country was like trying to rewrite his constitution and

698
00:37:26,560 --> 00:37:29,920
Speaker 4: he said he was going to ury neoliberalism. That didn't

699
00:37:30,160 --> 00:37:32,440
Speaker 4: really work out, and we can talk some more about that,

700
00:37:32,480 --> 00:37:35,120
Speaker 4: but in a nutshell, I like to say that he

701
00:37:35,239 --> 00:37:38,160
Speaker 4: was basically like the Chilean Mam Donnie. And to be clear,

702
00:37:38,239 --> 00:37:40,799
Speaker 4: I like him and mom Donnie. I think both of

703
00:37:40,800 --> 00:37:43,680
Speaker 4: them like on a personal level. They seem kind of

704
00:37:43,760 --> 00:37:51,120
Speaker 4: like nice guys and charismatic, et cetera. And Bodich actually

705
00:37:51,200 --> 00:37:54,359
Speaker 4: did some really good things in my opinion. He raised

706
00:37:54,360 --> 00:37:59,680
Speaker 4: them minimum wage like twenty percent the forty poorest Chileans,

707
00:38:00,200 --> 00:38:02,520
Speaker 4: the bottom forty percent of Chileans now have access to

708
00:38:02,560 --> 00:38:06,759
Speaker 4: free healthcare. Pensions are a little bit less miserly, which

709
00:38:06,800 --> 00:38:11,120
Speaker 4: historically were terrible in Chile. And the best thing actually

710
00:38:11,239 --> 00:38:13,480
Speaker 4: is that there's a gradual reduction in the work week

711
00:38:13,880 --> 00:38:16,440
Speaker 4: from forty five to forty hours. That's something that unions

712
00:38:16,440 --> 00:38:20,440
Speaker 4: had been demanding for decades, really really good stuff. The

713
00:38:20,560 --> 00:38:24,440
Speaker 4: problem is that the broader political environment after the pandemic

714
00:38:25,200 --> 00:38:28,239
Speaker 4: shifted two issues that really benefited the right. There was

715
00:38:28,280 --> 00:38:31,239
Speaker 4: a crime wave. Some of that had to do with

716
00:38:31,280 --> 00:38:33,560
Speaker 4: the fact that there were these like mass protests in

717
00:38:33,600 --> 00:38:36,799
Speaker 4: twenty nineteen that led to the Constitutional Convention, similar to

718
00:38:36,840 --> 00:38:40,280
Speaker 4: twenty twenty here with BLM like there was backlash against

719
00:38:40,280 --> 00:38:43,040
Speaker 4: the police and that led to officers like not one

720
00:38:43,120 --> 00:38:45,600
Speaker 4: even like police high crime areas. There's also been a

721
00:38:45,600 --> 00:38:51,400
Speaker 4: broader reconfiguration of the drug trade in South America, favoring

722
00:38:51,520 --> 00:38:53,839
Speaker 4: like Asian and European markets, so that's led a lot

723
00:38:53,840 --> 00:38:57,680
Speaker 4: of organized crime to move into countries like Chile. There

724
00:38:57,719 --> 00:39:00,680
Speaker 4: was inflation, and even though the government rage them in

725
00:39:00,719 --> 00:39:03,720
Speaker 4: a wage the truth is that the increase was roughly

726
00:39:03,760 --> 00:39:07,360
Speaker 4: in line with previous governments, so in relative terms, like

727
00:39:07,400 --> 00:39:10,960
Speaker 4: people's buying power went down. And finally this is always

728
00:39:10,960 --> 00:39:15,040
Speaker 4: the kryptonite for progressive governments. There was this huge migration surge,

729
00:39:15,120 --> 00:39:19,239
Speaker 4: especially in ilegal immigration. The country's immigrant population is double

730
00:39:19,320 --> 00:39:23,239
Speaker 4: to one point six million, is around three hundred thousand undocumented,

731
00:39:23,239 --> 00:39:27,080
Speaker 4: mostly Venezuelan's now in Chile. And that doesn't sound like

732
00:39:27,160 --> 00:39:30,600
Speaker 4: much here, but that's enormous in Chile, considering that the

733
00:39:30,600 --> 00:39:35,120
Speaker 4: country's whole population is around twenty million. And so how

734
00:39:35,160 --> 00:39:41,759
Speaker 4: did a Boord handle that? Similar to with Biden, his

735
00:39:41,840 --> 00:39:45,680
Speaker 4: government had like the lowest amount of deportations in history,

736
00:39:45,800 --> 00:39:49,480
Speaker 4: around half of the previous government and like, for example,

737
00:39:49,480 --> 00:39:52,000
Speaker 4: with Biden, like you can say, for instance that Biden

738
00:39:52,000 --> 00:39:54,520
Speaker 4: apported a lot of people at the border. Within the

739
00:39:54,560 --> 00:39:59,200
Speaker 4: country not so much. And so there was this every

740
00:39:59,239 --> 00:40:02,120
Speaker 4: single time, including in Latin American countries, you see this

741
00:40:02,200 --> 00:40:06,239
Speaker 4: divide between people who are more college educated and more

742
00:40:06,280 --> 00:40:09,320
Speaker 4: working class. And every single time the more college educated

743
00:40:09,320 --> 00:40:14,239
Speaker 4: people have a reluctance understandably so for like you know,

744
00:40:14,320 --> 00:40:18,000
Speaker 4: humanitarian reasons to not really want to like do think

745
00:40:18,400 --> 00:40:22,440
Speaker 4: things like deportations, whereas working class people feel, you know,

746
00:40:22,440 --> 00:40:27,640
Speaker 4: they have concerns over crime, strains the social services competition

747
00:40:28,040 --> 00:40:33,840
Speaker 4: with illegal labor. So it it bords. To his credit,

748
00:40:33,920 --> 00:40:36,400
Speaker 4: he did like militarize the northern border to try to

749
00:40:36,440 --> 00:40:39,719
Speaker 4: stem new arrivals. But people really resented the fact that

750
00:40:40,600 --> 00:40:44,200
Speaker 4: the government was not really keeping up enforcement. And Sokas

751
00:40:44,280 --> 00:40:47,160
Speaker 4: has this trumpst program. He wants to build a border

752
00:40:47,200 --> 00:40:49,800
Speaker 4: shield of walls, ditches, and.

753
00:40:50,000 --> 00:40:51,200
Speaker 1: It's gonna be a long shield.

754
00:40:51,280 --> 00:40:51,400
Speaker 4: Man.

755
00:40:51,440 --> 00:40:52,640
Speaker 1: That's a skinny country.

756
00:40:52,880 --> 00:40:55,040
Speaker 5: Yeah, we all know the shape.

757
00:40:55,120 --> 00:40:58,160
Speaker 1: That's tough. That's gonna be a tough wall to build.

758
00:40:58,400 --> 00:41:00,920
Speaker 1: Love Chile, by the way, very cool country that I've

759
00:41:00,920 --> 00:41:03,919
Speaker 1: been to before. So finally a question for you, Juan.

760
00:41:04,280 --> 00:41:07,600
Speaker 1: You talked there about America. What about Venezuela, Like you

761
00:41:07,680 --> 00:41:11,000
Speaker 1: just said, what's the opinion on the on the current

762
00:41:11,040 --> 00:41:14,560
Speaker 1: government on regime change? Would they be supportive of something

763
00:41:14,600 --> 00:41:17,760
Speaker 1: like that? Traditionally, you know, with Pinochet and our past relations,

764
00:41:17,760 --> 00:41:20,560
Speaker 1: it was viewed as this like power center of bulwark

765
00:41:21,120 --> 00:41:23,560
Speaker 1: against Latin American leftism. Is that something that we're going

766
00:41:23,640 --> 00:41:24,879
Speaker 1: to see again? What do you think?

767
00:41:25,719 --> 00:41:28,960
Speaker 4: Oh? Yeah, I'd say that the president elect his administration

768
00:41:29,040 --> 00:41:32,239
Speaker 4: will be We'll go along basically with whatever the Trump

769
00:41:32,239 --> 00:41:37,000
Speaker 4: administration wants, including of Venezuela. The current government of void

770
00:41:37,000 --> 00:41:39,640
Speaker 4: each like I said, they were very critical of Maduro.

771
00:41:39,680 --> 00:41:42,120
Speaker 4: They have said that they would not, you know, support

772
00:41:42,160 --> 00:41:47,880
Speaker 4: any kind of regime change like by force and Venezuela.

773
00:41:49,000 --> 00:41:54,640
Speaker 4: But yeah, it's yea, this is a really sensitive topic.

774
00:41:55,160 --> 00:41:58,719
Speaker 4: I mean, who knows. Maybe cous could be apprehensive about

775
00:41:58,719 --> 00:42:00,680
Speaker 4: this though, because the thing is, you know, the president,

776
00:42:00,719 --> 00:42:02,879
Speaker 4: you set for this. It's like, okay, you know, maybe

777
00:42:02,960 --> 00:42:05,319
Speaker 4: we're you like it if it's against Maduro, but it's like,

778
00:42:06,080 --> 00:42:07,960
Speaker 4: you know what, if they can do it to Maduro, right,

779
00:42:08,000 --> 00:42:09,080
Speaker 4: they can do it to anybody.

780
00:42:09,840 --> 00:42:13,440
Speaker 2: So yeah, it's yeah, yeah, And just because they like

781
00:42:13,480 --> 00:42:17,399
Speaker 2: you today doesn't mean in the future they won't turn right,

782
00:42:18,120 --> 00:42:20,600
Speaker 2: So that very very interesting stuff.

783
00:42:20,640 --> 00:42:23,960
Speaker 4: One yeah, yeah, oh you know one interesting thing actually

784
00:42:24,400 --> 00:42:29,920
Speaker 4: in Chile, permanent residents, this is hilarious, are allowed to

785
00:42:29,960 --> 00:42:32,280
Speaker 4: vote if they've lived in the country for five years,

786
00:42:32,400 --> 00:42:37,319
Speaker 4: and so Venezuelans were actually a really coverted electorate during

787
00:42:37,360 --> 00:42:40,279
Speaker 4: this past campaign and guess who they voted for. They

788
00:42:40,360 --> 00:42:44,840
Speaker 4: voted for cast was promising to deport them because Venezuelans

789
00:42:44,840 --> 00:42:47,640
Speaker 4: are super neo conservatives. So there's been a lot of

790
00:42:47,680 --> 00:42:52,000
Speaker 4: discussion around that. The leading conservative candidate now in Peru

791
00:42:52,120 --> 00:42:56,279
Speaker 4: for twenty twenty six said that Peru should just give

792
00:42:56,400 --> 00:42:59,359
Speaker 4: citizenship to Venezuelans so that they can vote for him.

793
00:42:59,400 --> 00:43:01,440
Speaker 4: It's a talk about importing voters.

794
00:43:01,640 --> 00:43:05,120
Speaker 5: Wow, wow, it's uh.

795
00:43:04,400 --> 00:43:05,880
Speaker 4: Yeah, it's it's funny stuff.

796
00:43:05,880 --> 00:43:07,640
Speaker 1: Well, dude, this is why we like talking to you.

797
00:43:08,040 --> 00:43:08,279
Speaker 2: Yep.

798
00:43:08,320 --> 00:43:10,640
Speaker 1: A lot of other stuff going on in the world.

799
00:43:10,760 --> 00:43:14,319
Speaker 1: Chile always a fascinating country, beautiful country. Wish them the best.

800
00:43:14,320 --> 00:43:16,440
Speaker 1: Thank you for joining us, sir, Thank you, Thank you

801
00:43:16,440 --> 00:43:18,480
Speaker 1: guys so much for watching. We appreciate it. We have

802
00:43:18,520 --> 00:43:20,640
Speaker 1: a great Crowned Point show for you all tomorrow, and

803
00:43:20,680 --> 00:43:22,919
Speaker 1: we will see you all on Thursday for our last

804
00:43:22,920 --> 00:43:25,120
Speaker 1: show before Christmas. Christal will be back in the studio,

805
00:43:25,280 --> 00:43:26,920
Speaker 1: don't worry, so we'll see all that