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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 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.

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Speaker 2: Full shows, unedited, ad free, and all put together for

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Speaker 2: you every morning in your inbox.

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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. Good morning, everybody, Happy Monday. Is it Monday?

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Speaker 1: I think it's Monday? All right, Happy Monday. We have

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Speaker 1: an amazing show of everybody today.

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Speaker 4: What do we have?

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Speaker 1: Did we do?

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Speaker 3: Welcome back, sir, Thank you, Thank you very much.

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Speaker 1: Yeah, I've missed you guys too, I really have. It's

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Speaker 1: been it's been. It's been an experience any new parent.

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Speaker 1: I was just regaling, Crystal, I've been tracking all of

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Speaker 1: my sleep metrics and everything.

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Speaker 2: It's been.

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Speaker 1: It's been devastating, but it's all worth it. It is.

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Speaker 1: I have a beautiful daughter at home. Thank you to

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Speaker 1: my incredible wife, to the team here for covering for me,

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Speaker 1: for both the in laws. Everybody's been stepping up very

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Speaker 1: much at home, so it's been an amazing experience. I'll

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Speaker 1: have more to say later. I actually want to do

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Speaker 1: a monologue about all my medical bills, so I think

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Speaker 1: people will enjoy it.

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Speaker 3: Are you Are you a Medicare for all guy?

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Speaker 5: Yet?

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Speaker 1: Not yet, but we're getting there. We're getting close. Yeah,

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Speaker 1: I'll talk about it. You know, we've because we are

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Speaker 1: prepared for one of the bills, you know, but unfortunately

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Speaker 1: my daughter I had to spend some time in the

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Speaker 1: nick you and transfer and all that, and I will

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Speaker 1: go down line by line just to show you. I

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Speaker 1: think people should know what it actually costs if you

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Speaker 1: have a terrible Oh. Absolutely, everybody's fine now, so thank

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Speaker 1: you very much. Thank you to the audience for putting

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Speaker 1: up with it, and Ryan, Emily, everybody in the control room,

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Speaker 1: everybody of the team done an amazing job. But while

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Speaker 1: I was gone, and I'm doing my best over here.

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Speaker 1: So if I have any bad takes, you can just

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Speaker 1: blame it all Oneah.

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Speaker 3: Can I get that dispensation?

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Speaker 1: Well, yes, absolutely, you should listen, I have more sympathy.

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Speaker 1: Now you should use the parent card ten times.

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Speaker 2: More on Well, luckily we have a really light news day,

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Speaker 2: ease back in, nothing that's contentious or difficult to parse through,

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Speaker 2: things that we always agree on, so it should be great.

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Speaker 2: So obviously we're following what's going on in LA. We've

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Speaker 2: got the very latest team was up late pulling, you know,

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Speaker 2: images from last night. Of course, the National Guard has

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Speaker 2: been federalized. Extraordinary things going on there with regards to Trump,

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Speaker 2: so we'll get into all of that. We've also got

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Speaker 2: the latest in the Trump Elon fallout. I am excited

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Speaker 2: to hear from Sager on that particular issue. I'm sure

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Speaker 2: you guys are as well to hear what he is

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Speaker 2: thinking about the whole romance falling apart. We had Cash

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Speaker 2: Mittel on Joe Rogan while the Elon Trump thing was

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Speaker 2: going on, and Elon's out there posting that Trump is

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Speaker 2: on the Epstein list, and Cash Mittel is being confronted

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Speaker 2: like in real time with you know, hey, what's going

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Speaker 2: on there?

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Speaker 3: So that's pretty interesting.

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Speaker 2: We've got the Trump administration caving on Kilmar Abrego Garcia,

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Speaker 2: although there is a big catch.

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Speaker 3: They are charging him. He has been indicted.

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Speaker 2: So got all of those details, Jadie vance I went

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Speaker 2: on with the OVONN a number of interesting moments, some

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Speaker 2: of them amusing, some of them revealing. We'll get into

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Speaker 2: that and then we may be able to it's still

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Speaker 2: a little bit up in the air.

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Speaker 3: We may be able to.

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Speaker 2: Get to the spokesperson for that Gaza Aid flotilla. All

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Speaker 2: the members of that flotilla, including Greta Dunberg, have now

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Speaker 2: been arrested and are being held by the IDF in

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Speaker 2: an Israeli prison. So you know, there are some wild

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Speaker 2: images coming out from there as well. So whether or

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Speaker 2: not we get the spokesperson on, we will cover that

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Speaker 2: and hopefully we'll be able to talk to her and

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Speaker 2: get her take on all of that before we jump

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Speaker 2: in with the latest coming out of LA. You guys

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Speaker 2: have overwhelmed us with your support.

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Speaker 3: Thank you so much.

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Speaker 2: We've been offering We've gone back to offering the monthly

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Speaker 2: subscription by popular demand and free monthly trial. Go to

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Speaker 2: Breakingpoints dot com, put in BP free, give us a

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Speaker 2: try for a month, See if you enjoy it, see

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Speaker 2: how you feel about it. Sager, I don't know if

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Speaker 2: you're aware of this. Ryan has been threatening to do

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Speaker 2: him's ads.

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Speaker 3: We don't see.

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Speaker 1: Actually, I think they need some help because they've been

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Speaker 1: RFK Junior has been attacking them. So I guess wait

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Speaker 1: over what, well, I'm it's too complicated. There's all this

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Speaker 1: stuff about like like what is it called generic compounded

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Speaker 1: GLP one, Like they're basically the semic clue tide ozambic,

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Speaker 1: basically the generic semic glue tide, And they're going after

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Speaker 1: companies like Hymns and newm and all these other places.

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Speaker 1: So anyway, we can talk about that later. It's actually

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Speaker 1: an interesting story.

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Speaker 2: One of the ones I will so save Ryan from having.

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Speaker 1: Hymns ads and finasterize. Is that what it's called. I

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Speaker 1: think it is the Balding medicine. But anyway, thank you. Actually,

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Speaker 1: it has been incredible. I was checking back in I

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Speaker 1: was looking at the numbers. The response has been overwhelming

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Speaker 1: and it is really really incredible to see some of

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Speaker 1: the demands of that. So you can go ahead and

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Speaker 1: sign up. You can breaking points dot com, you can

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Speaker 1: use the promo code. We appreciate you. But let's get

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Speaker 1: to Los Angeles show.

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Speaker 2: Yeah, so there's a lot to get into here, So

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Speaker 2: bear with us as we go through what has happened

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Speaker 2: and gotten us to this place, has gone and put

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Speaker 2: these images of unrest. These are all coming from last

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Speaker 2: night out of La County. Trump has for the first

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Speaker 2: time since nineteen ninety two, federalized the National Guard, and

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Speaker 2: this is the first time it's been federalized over the

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Speaker 2: objections of the state governor, for the first time since

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Speaker 2: nineteen sixty five. We're going to talk a lot about

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Speaker 2: the legal pretext here.

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Speaker 3: A lot of.

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Speaker 2: Legal analysts say that this is illegal. Certainly Gavin Newsom

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Speaker 2: is saying that this is illegal. But you can see

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Speaker 2: here this is just from last night. There were a

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Speaker 2: bunch of waymos that apparently they were like calling the

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Speaker 2: weamos to the protest and then setting the weamos on fire.

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Speaker 2: You know, the Mexican flags flying here. That has become,

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Speaker 2: you know, something that a lot of the right have

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Speaker 2: certainly seized upon. So wild images that you can see

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Speaker 2: in the streets as protesters are clashing with this is

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Speaker 2: largely LAPD. You though the National Guard was brought in yesterday,

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Speaker 2: my understanding is the National Guard mostly stayed around the

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Speaker 2: Federal building here. Obviously you can see these waimos set

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Speaker 2: on fire as well. And so while we continue to

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Speaker 2: roll these images, I can just explain a little.

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Speaker 3: Bit of how we got to this place.

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Speaker 2: So the Trump administration obviously they ran on mass deportation.

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Speaker 2: They have really up the ante in recent days. Stephen

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Speaker 2: Miller apparently went into an ICE meeting was braiding everybody

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Speaker 2: for focusing on criminals and said, no, you need to

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Speaker 2: go into the workplaces, go into the home depots. And

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Speaker 2: that is exactly what ICE has been doing. So the

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Speaker 2: initial protests kicked off at two locations in and near La.

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Speaker 2: You had a garment manufacturer where there was an ongoing

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Speaker 2: ICE rate, and you had a home depot where ICE

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Speaker 2: was massing, and there was an expectation that there would

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Speaker 2: be a raid. You know, you have migrants who hang

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Speaker 2: out there in the parking lot looking.

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Speaker 3: For work, et cetera.

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Speaker 2: So protests begin and there's a you know, pretty aggressive

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Speaker 2: response from the LAPD and you have you know, large

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Speaker 2: tensions in the community and you have people that begin

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Speaker 2: to you know, throw rocks back and it just escalates

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Speaker 2: from here.

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Speaker 3: Just watch this one clip.

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Speaker 2: This is a reporter for Australian News out and crazy

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Speaker 2: footage here you see one of the cops turned directly

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Speaker 2: to her and fire a rubber bullet that hits her directly.

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Speaker 2: So this is in any case, some of what's going on.

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Speaker 2: So after the first night of protests, Trump decides that

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Speaker 2: he is going to send in the National Guard. And

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Speaker 2: the first indicasion we got of this, actually saga was

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Speaker 2: Tom Holman went on before any sort of an announcement

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Speaker 2: had been made and indicated that this was going to happen.

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Speaker 2: And then we in fact got this memo from Trump

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Speaker 2: saying exactly what he was going to do. We can

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Speaker 2: put a two up on the screen here, guys. This

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Speaker 2: is the memo from the White House which calls for

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Speaker 2: bringing in the National Guard. He says, in recent days,

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Speaker 2: violent mobs have attacked ice officers and federal law enforcement

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Speaker 2: agents carrying out basic deportation operations in La California. These

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Speaker 2: operations are essential to halting and reversing the invasion of

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Speaker 2: legal criminals in the US, and the wake of this violence,

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Speaker 2: California's feckless Democrat leaders have completely abdigated their responsibility to

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Speaker 2: protect their citizens. That's why President Trump has signed a

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Speaker 2: presidential memorandum deploying two thousand National guardsmen to address the

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Speaker 2: lawlessness that has been allowed to fester. The Trump administration

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Speaker 2: has a zero tolerance policy for criminal behavior and violence,

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Speaker 2: especially when that violence is aimed at law enforcement officers

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Speaker 2: trying to do their jobs. These criminals will be arrested,

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Speaker 2: swiftly brought to justice. Commander and Chief will ensure the

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Speaker 2: laws of the US are executed fully and completely assigned

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Speaker 2: by Caroline Levitt, White House Press Secretary. Now, notably, he

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Speaker 2: did not actually invoke the Insurrection Act, which would give

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Speaker 2: sort of broader legal justification for using the military against civilians.

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Speaker 2: Goes without saying, these are extraordinary and unusual actions that

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Speaker 2: are being taken. But instead of invoking the Insurrection Act,

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Speaker 2: he used something called Title ten authority. Now, the planeface

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Speaker 2: reading of this appears to require that the governor of

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Speaker 2: the state request or at least consent to the federalizing

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Speaker 2: of National Guard troops under Title ten. Again, the last

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Speaker 2: time that National Guard troops were federalized with the consent

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Speaker 2: of the California governor was in nineteen ninety two to

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Speaker 2: deal with the La riots. You had dozens of people

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Speaker 2: who were killed, billion dollars in property damage. That's the

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Speaker 2: last time that National Guard troops were federalized. The last

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Speaker 2: time that they were federalized over the objection of the

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Speaker 2: state leadership was nineteen sixty five. This was under LBJ

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Speaker 2: to deal with in Caalctor in southern state that did

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Speaker 2: not want to desegregate. So that's the level that we're

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Speaker 2: talking about here. In terms of actions, Trump got asked

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Speaker 2: what he planned and whether he was going to invoke

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Speaker 2: the Insurrection Act. Let's go ahead and take a listen

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Speaker 2: to a little bit of what he had to say

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Speaker 2: here an interviews.

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Speaker 3: Don't plan to invote Indirection Act. You planned to send

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Speaker 3: troops a lot of.

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Speaker 2: If you're not planning to vote back Insurrection Act, you

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Speaker 2: still plan to send troops.

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Speaker 1: Well, we're gonna have troops everywhere. We're not going to

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Speaker 1: let this.

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Speaker 6: Happen to our country.

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Speaker 1: We're not going to let our country before to bark

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Speaker 1: like it was a divide and this autopen.

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Speaker 3: But the bar for sending marines, the bar what I

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Speaker 3: think it is.

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Speaker 6: I mean, if we see danger to our country and

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Speaker 6: to our citizens, and we'll be.

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Speaker 1: Very very strong in terms of law and order. It's

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Speaker 1: about law and order.

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Speaker 6: Secretary, We're gonna see what we need we'll send whatever

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Speaker 6: we need to make sure of this.

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Speaker 3: Law and order.

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Speaker 2: And so you hear him. There troops everywhere, and we'll

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Speaker 2: see with regard to the Insurrection Act and the Marines,

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Speaker 2: this was the other piece. We can put a go

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Speaker 2: ahead and skip ahead to A seven and we'll just

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Speaker 2: lay this piece out and then I'll get Sager's reaction

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Speaker 2: here Pete Hagsath floating that they could get the Marines involved.

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Speaker 2: He says the violent mob assaults on ice in federal

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Speaker 2: law enforcement designed to prevent the removal of criminal, illegal

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Speaker 2: aliens from our soil. Under present Trump, violence and destruction

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Speaker 2: will not be tolerated. The Department of Defense is mobilizing

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Speaker 2: the National Guard immediately, and if my continues, active duty

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Speaker 2: Marines at Camp Pendleton will also be mobilized.

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Speaker 3: They are on high alert.

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Speaker 2: Yesterday evening, CNN reported that there were a number of

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Speaker 2: Marines indeed, who were prepared to deploy. Let's go ahead, guys,

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Speaker 2: and play a seven B.

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Speaker 5: I also want to ask you about some breaking news

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Speaker 5: that we're just getting in. This is brand new into

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Speaker 5: our newsroom that the US Northern Command is saying that

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Speaker 5: approximately five hundred active duty Marines are quote prepared to deploy,

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Speaker 5: in their words, as unrest in Los Angeles continues. This

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Speaker 5: is after, of course, the Secretary of Defense Pete Hagseth

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Speaker 5: had mentioned this.

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Speaker 3: Is that necessary at this point?

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Speaker 2: No, I'm going to be I mean, not operationally, it's

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Speaker 2: not necessary.

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Speaker 3: There may be other reasons for it. All right, So

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Speaker 3: there you go.

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Speaker 2: So we've also we'll get into in a moment some

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Speaker 2: of the legal analysis the democratic response. But just pause

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Speaker 2: for a second and give you a chance to react.

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Speaker 1: Sure. Actually, you know, I don't usually do this, but

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Speaker 1: the New York Times actually had some pretty good analysis

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Speaker 1: of it this morning. They said Trump jumps at a

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Speaker 1: chance for confrontation California immigration. The situation has all the

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Speaker 1: elements that the President's seeks to show down with the

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Speaker 1: top political rival and a deep blue state over an

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Speaker 1: issue court to the agenda. And I think that's probably

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Speaker 1: the best way to look at it. I mean, one

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Speaker 1: of the things that you laid out there was that

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Speaker 1: past reporting about Stephen Miller really pressuring workplace raids as

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Speaker 1: opposed to criminal raids. That was something that immediately followed

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Speaker 1: the reporting in Los Angeles. Los Angeles and New York

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Speaker 1: City are the two of the top targets from ICE.

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Speaker 1: I believe Los Angeles in particular sanctuary city, one that

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Speaker 1: has long kind of you know, held itself up against

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Speaker 1: immigration enforcement. That leads to some of the protests there.

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Speaker 1: What does a paramount I believe California. So then you

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Speaker 1: have the initial kickoff. I mean, my own personal like

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Speaker 1: analysis of it is like it doesn't didn't need didn't

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Speaker 1: seem particularly like necessary to send the National Garden because look,

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Speaker 1: I don't think this is like BLM was. First of all,

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Speaker 1: this is like a lot more protests, a lot more

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Speaker 1: property damage, a lot more like violence. But even beyond that,

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Speaker 1: there was genuine like reluctance to use police forces, and

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Speaker 1: a lot of these blue cities LAPD looks pretty ready

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Speaker 1: to rock and roll, you know. From riving, I was like, yeah,

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Speaker 1: they seem to be okay. But I mean a lot

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Speaker 1: of it really is just downstream of BLM. Reducks for

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Speaker 1: a lot of people on the American right. And also,

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Speaker 1: I mean we have to acknowledge it, like Trump is

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Speaker 1: in a relatively precarious political position, and this is an

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Speaker 1: issue which we'll talk about tomorrow. Some of his polling

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Speaker 1: and all that immigration remains one of his number one

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Speaker 1: core areas. You've got some of those images that you

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Speaker 1: were talking about of burning cars, Mexican flags. I mean,

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Speaker 1: I don't think it takes the political genius to say

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Speaker 1: this is dramatically unpopular. I think in general, what America

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Speaker 1: seems to be sensitive to is who is the more

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Speaker 1: chaotic element. And we talked about this before. I think

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Speaker 1: up until this point, you could very easily assume that

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Speaker 1: the Trump administration was the more chaotic actor in immigration.

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Speaker 1: With the Kilmar Abrego Garcia case, which you're going to

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Speaker 1: talk about a little bit later in the show, we had,

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Speaker 1: you know, Elsa Salvador, some of these extraordinary actions and

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Speaker 1: all this. But in particular, what's happened here is when

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Speaker 1: you see a flip and it goes into rioting into violence,

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Speaker 1: and then you see that law enforcement can seem to

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Speaker 1: have like a moral upper hand, it becomes a lot

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Speaker 1: more dicey. And so that is something that the Trump administration.

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Speaker 1: Part of the reason I think that they wanted an

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Speaker 1: image like this is they really are getting I think

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Speaker 1: a lot of what they want. They're getting the Mexican flags,

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Speaker 1: they're getting the burning in the streets. They're regardless of

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Speaker 1: whether you think, you know, Newsome and Karen Bass are

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Speaker 1: being feckless or not. A lot of people in the

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Speaker 1: Upper Midwest and some of the swing state areas they're

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Speaker 1: gonna think that. I mean, I also would be remiss

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Speaker 1: if I didn't say I know a lot of people

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Speaker 1: in the city of Los Angeles, and they did. A

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Speaker 1: lot of them were texting me and being like, hey, man,

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Speaker 1: if you are covering this, like, please just know that

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Speaker 1: ninety nine point nine percent of us are living our

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Speaker 1: lives and like downtown out LA is a place that

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Speaker 1: like none of us even go. So they're like, just

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Speaker 1: so you're all aware. And you know, I always think

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Speaker 1: that's important to say, like it's like the entire city

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Speaker 1: is not on fire or anything like. This is not

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Speaker 1: Rodney King. In fact, May Day parades are always there's

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Speaker 1: always Mexican flags flying and in La.

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Speaker 3: You know, it sounds like people are so concerned about

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Speaker 3: foreign flags.

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Speaker 1: Now okay, sure, yeah, I mean listen, should an Israeli

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Speaker 1: flag fly in America?

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Speaker 4: No?

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Speaker 1: Should ah?

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Speaker 4: What it?

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Speaker 1: Should an Israeli flag fly in America? In my opinion, No,

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Speaker 1: you should a Mexican flag fly in this Yeah, I

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Speaker 1: think it's a little guys. I mean, I will say,

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Speaker 1: you know, I don't know really why these people are

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Speaker 1: like they're like addicted to doing some of the most

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Speaker 1: unpopular things possible. I mean, if you saw, you know,

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Speaker 1: if you saw some of the initial Floydian response, like

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Speaker 1: in the early days of Floyd and I'm talking about

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Speaker 1: before the Minneapolis police precinct and all that was burned

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Speaker 1: down and people were peacefully marching in the street. That's

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Speaker 1: very difficult, you know, for people to be able to

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Speaker 1: mobilize against. And this is now entering a situation which

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Speaker 1: I think broadly there is a consensus they're like, this

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Speaker 1: is I think pretty strong footing for Donald Trump. We

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Speaker 1: will see. Of course things are very different though, you know,

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Speaker 1: from that time previously. But by and large, I mean,

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Speaker 1: we should make some of it because it is extraordinary,

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Speaker 1: the threat of the ability to have active duty shouldiers

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Speaker 1: the National Guards at two thousand bus. I don't want

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Speaker 1: to overplay it because there's a lot of people on

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Speaker 1: the Oh my god, this is bl I'm like, no, no,

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Speaker 1: this is not even remote. Yeah, the same this is

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Speaker 1: a relatively you know, thousands of people, Yes, but we're

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Speaker 1: not talking about millions. We're not talking about contagion, you know,

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Speaker 1: spread across the entire city or any of that, And

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Speaker 1: so I do think it's important to contextualize it as well.

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Speaker 1: Like Los Angeles itself, it's mostly fine.

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Speaker 3: Yeah, I think all I agree with most of that.

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Speaker 2: What I will say is, I mean, to me number one,

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Speaker 2: like Trump was looking for a pretext to have this

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Speaker 2: sort of militarized response for basically his entire ministry. I mean,

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Speaker 2: in day one he signed inn executive order that we

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Speaker 2: covered here of like hey, will you study whether I

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Speaker 2: should invoke the Insurrection Act.

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Speaker 3: So he's been looking for a pretext.

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Speaker 2: We know last time around he wanted to he wanted

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Speaker 2: to shoot protesters in the knees, and I think it

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Speaker 2: was Esper who was like, you can't do that. Esper

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Speaker 2: and people like that are no longer around him. And

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Speaker 2: to your point, I think the what the right and

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Speaker 2: certainly Trump and his people took from the first administration

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Speaker 2: was we didn't do go far enough, like we weren't wild.

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Speaker 2: And whether it's with the you know, the like crackdown

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Speaker 2: on dissent, or the aggressive response to protests, or the

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Speaker 2: even the economic regime with the tariffs, all of these

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Speaker 2: sorts of things. They took all the guardrails off, and

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Speaker 2: so there is not going to be a Mark Esper

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Speaker 2: in place now to say, hey, we shouldn't. You can't

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Speaker 2: federalize the National Guard over the objections of the governor

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Speaker 2: of California. That's not something that is legal or permissible.

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Speaker 2: And you know, to turn troops on American citizens like

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Speaker 2: that is an extraordinary thing. So you know, to me,

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Speaker 2: the big picture is this is an authoritarian guy. I

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Speaker 2: think you're right to say that. I think he feels

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Speaker 2: a little politically tenuous now, whereas support even on his

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Speaker 2: best issue, which is immigration, has slipped significantly. It's still

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Speaker 2: where he does the best, but it slips significantly, and

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Speaker 2: they were looking.

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Speaker 3: For a reason to take exactly this sort of action.

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Speaker 2: I also will say, I mean, when you have this

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Speaker 2: kind of chaos in the streets, it is exactly the

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Speaker 2: sort of thing that and somebody with these authoritarian tendencies

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Speaker 2: will seize on to hey, let's expand that Palentier database.

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Speaker 2: Hey let's normalize having the military in the streets for

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Speaker 2: domestic law enforcement.

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Speaker 3: And so, you know, for me, that's the most important point.

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Speaker 2: But I also agree with you, like the Mexican flag

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Speaker 2: on the burning weimo is such a terrible image optically

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Speaker 2: that I'm like, are.

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Speaker 3: These actually sense?

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Speaker 2: Like you have to ask the quite because it plays

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Speaker 2: into their hands so perfectly. It is exactly the kind

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Speaker 2: of images that they want to get out, you know,

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Speaker 2: that they want to put out to the public.

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Speaker 3: How the public perceives all of this, I'm.

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Speaker 2: Not going to speculate, because I do think that there

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Speaker 2: is a sense that Trump is stoking this, that he

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Speaker 2: wants this, that you know, La was doing fine, actually

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Speaker 2: violent crime and these sorts of things were like way

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Speaker 2: down year over year, was doing okay, There was not

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Speaker 2: rioting in the streets before he starts to take extraordinary actions,

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Speaker 2: both with ice and then bringing in the National Guard.

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Speaker 2: How the public will sort through all of this, I

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Speaker 2: don't know, but to me, those are the most significant pieces,

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Speaker 2: And especially when you're floating things like I'm gonna bring

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Speaker 2: in the Marines, I mean, that is complete. That is

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Speaker 2: so unhinged and crazy that is hard to wrap.

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Speaker 1: Your head around that if they haven't done it yet,

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Speaker 1: is that they Like I said, whoever, seems like the

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Speaker 1: crazier party is going to get a lot of the blame.

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Speaker 1: And I think the Marines. I mean, that is a

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Speaker 1: genuinely extraordinary step. Two thousand. Look, I mean, we can

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Speaker 1: contextualize it is pretty insane that, you know, for the

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Speaker 1: first time since nineteen sixty five, we're talking about Selma, Alabama,

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Speaker 1: that a National Guard has been mobilized without a governor's action. Yeah,

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Speaker 1: it's also two thousand troops. These are also people not

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Speaker 1: out in the streets. These are people who are around

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Speaker 1: like VA facilities and federal buildings. In fact, from what

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Speaker 1: I've seen, I believe they've only fired like tear gas

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Speaker 1: outside of that. National Guards are the federal federal building.

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Speaker 1: It's mostly la Almost all of the really chaotic images

439
00:20:05,000 --> 00:20:08,560
Speaker 1: people are watching, that's LAPD. This is like a support mission.

440
00:20:08,600 --> 00:20:11,600
Speaker 1: This is LAPD and I believe in some cases the

441
00:20:11,720 --> 00:20:16,520
Speaker 1: Department of Homeland Security. So we'll see how things progress today.

442
00:20:16,720 --> 00:20:20,119
Speaker 1: I mean, I'm curious actually to see how the protesters

443
00:20:20,200 --> 00:20:23,280
Speaker 1: on the ground in Los Angeles and perhaps even leaders

444
00:20:23,720 --> 00:20:26,840
Speaker 1: of these protest movements and all of this are contextualizing it,

445
00:20:26,920 --> 00:20:30,160
Speaker 1: because from my perspective, it has been kind of interesting

446
00:20:30,280 --> 00:20:32,879
Speaker 1: to watch. How I mean, I think last time around,

447
00:20:33,000 --> 00:20:36,720
Speaker 1: like all the memes around mostly peaceful and riot is

448
00:20:36,760 --> 00:20:38,440
Speaker 1: the voice of the unheard and all that there was

449
00:20:38,520 --> 00:20:41,520
Speaker 1: like a justification of genuine violence and looting from the

450
00:20:41,640 --> 00:20:44,440
Speaker 1: very top of the democratic establishment and the media. This

451
00:20:44,560 --> 00:20:46,119
Speaker 1: time around, this is just not the case. I mean,

452
00:20:46,160 --> 00:20:48,360
Speaker 1: you know, you're you know, you're criticizing the Mexican flight.

453
00:20:48,600 --> 00:20:50,359
Speaker 1: Most people are most people are like, what are you

454
00:20:50,400 --> 00:20:51,080
Speaker 1: guys doing here?

455
00:20:51,160 --> 00:20:53,440
Speaker 2: And so in the certain I don't have a morality

456
00:20:53,520 --> 00:20:55,960
Speaker 2: issue with it, but I think it's optically.

457
00:20:55,720 --> 00:20:57,879
Speaker 1: But that's but I'm saying, las timerun they wouldn't even

458
00:20:57,880 --> 00:21:00,360
Speaker 1: admit that last time around. They're like, they wouldn't even admit, hey,

459
00:21:00,400 --> 00:21:02,439
Speaker 1: you know, maybe you shouldn't loot a Mark Jacob's store, right,

460
00:21:02,440 --> 00:21:05,600
Speaker 1: They're like, oh, actually it's fine because property damage is

461
00:21:05,920 --> 00:21:08,439
Speaker 1: not as bad as George Floyd or whatever. Yeah, I mean,

462
00:21:08,760 --> 00:21:10,280
Speaker 1: I don't hear any of that this time around. I

463
00:21:10,320 --> 00:21:14,119
Speaker 1: don't see you know, even the left lunatic immigration people

464
00:21:14,200 --> 00:21:17,280
Speaker 1: on TV being like, actually, this is totally justified. I

465
00:21:17,359 --> 00:21:20,399
Speaker 1: think you see the stray accounts there here there on Twitter,

466
00:21:20,600 --> 00:21:22,920
Speaker 1: but you know, a lot of the acab energy and

467
00:21:23,000 --> 00:21:25,080
Speaker 1: all that, it just it just seems very online and

468
00:21:25,160 --> 00:21:28,400
Speaker 1: not as enshrined in the mainstream. There's also a big

469
00:21:28,560 --> 00:21:31,320
Speaker 1: difference from twenty twenty where look, I mean everyone can

470
00:21:31,359 --> 00:21:33,600
Speaker 1: acknowledge there's been a lot of scientific research on this.

471
00:21:33,920 --> 00:21:35,479
Speaker 1: Part of the reason the protests were as big as

472
00:21:35,480 --> 00:21:37,000
Speaker 1: they were is a lot of people were locked in

473
00:21:37,000 --> 00:21:38,760
Speaker 1: their houses and they were staring at a screen. There

474
00:21:38,840 --> 00:21:41,840
Speaker 1: was like a mass psychosis that took over the entire country.

475
00:21:41,920 --> 00:21:44,640
Speaker 1: We could debate, you know, all of that. I've done

476
00:21:44,920 --> 00:21:47,120
Speaker 1: plenty here, but that's not the case right now. It's

477
00:21:47,320 --> 00:21:49,720
Speaker 1: what is it June something? You know, it's summer. You know,

478
00:21:49,800 --> 00:21:52,840
Speaker 1: people are living their lives like broadly, and while people

479
00:21:52,880 --> 00:21:55,679
Speaker 1: are paying attention to the news. I think people are

480
00:21:55,760 --> 00:21:58,040
Speaker 1: still upset about the tariffs. That's one of the things

481
00:21:58,080 --> 00:22:01,600
Speaker 1: I think, really, I don't think we fully internalized how

482
00:22:01,720 --> 00:22:04,920
Speaker 1: much that tariff forty five day period actually costs Trump

483
00:22:05,200 --> 00:22:07,680
Speaker 1: in terms of the confidence of the American people and

484
00:22:08,160 --> 00:22:10,520
Speaker 1: a lot of some of the stress and other things

485
00:22:10,560 --> 00:22:12,560
Speaker 1: that put we're on businesses and all that, you know,

486
00:22:12,760 --> 00:22:14,600
Speaker 1: just even my own personal life and being able to

487
00:22:14,640 --> 00:22:16,520
Speaker 1: talk to people. It's the number one thing I hear

488
00:22:16,680 --> 00:22:18,760
Speaker 1: about the way that the tariffs disrupt and it's not

489
00:22:18,880 --> 00:22:21,399
Speaker 1: even about cost increase. It was my job did this.

490
00:22:21,680 --> 00:22:23,920
Speaker 1: We were worried about this. You cost people, you know,

491
00:22:24,040 --> 00:22:27,040
Speaker 1: for real, this is a little bit different. And so anyways,

492
00:22:27,520 --> 00:22:31,520
Speaker 1: watching it closely, obviously it is most an impactful story

493
00:22:31,840 --> 00:22:34,639
Speaker 1: for how the Trump administration wants to deal with it.

494
00:22:34,760 --> 00:22:37,000
Speaker 1: It's also, let's be honest, it's a message to the

495
00:22:37,200 --> 00:22:41,840
Speaker 1: entire country, to New York City, to Chicago, to you know,

496
00:22:41,880 --> 00:22:44,159
Speaker 1: I'm thinking of any other big blue city. It's a

497
00:22:44,240 --> 00:22:45,840
Speaker 1: message to them. It's like, if you don't get this

498
00:22:45,880 --> 00:22:49,040
Speaker 1: shit under control very quickly, you will have the guard

499
00:22:49,119 --> 00:22:53,160
Speaker 1: federalized in your state immediately. And so in a sense,

500
00:22:53,400 --> 00:22:56,119
Speaker 1: it is more of a peremptory action from what I

501
00:22:56,160 --> 00:22:57,960
Speaker 1: can see. And also, like I said at the beginning,

502
00:22:58,119 --> 00:23:00,879
Speaker 1: Trump is on precarious political fo this is not a

503
00:23:00,920 --> 00:23:03,520
Speaker 1: good time for him. This is probably the best possible

504
00:23:03,600 --> 00:23:05,480
Speaker 1: thing that could have happened for him.

505
00:23:05,400 --> 00:23:08,680
Speaker 2: When he yes, the more that this is what I've

506
00:23:08,720 --> 00:23:12,640
Speaker 2: said before, the more his political standing slips, the more

507
00:23:12,720 --> 00:23:16,440
Speaker 2: he's going to resort to increasingly authoritarian tactics.

508
00:23:16,680 --> 00:23:19,280
Speaker 3: And I think this is part and parcel with that.

509
00:23:19,840 --> 00:23:22,160
Speaker 2: And you have to put it in the broader context

510
00:23:22,320 --> 00:23:24,600
Speaker 2: of all of the actions that Trump has taken in office,

511
00:23:24,720 --> 00:23:29,320
Speaker 2: whether it's you know, trying to bring the media organizations

512
00:23:29,359 --> 00:23:34,120
Speaker 2: to heal, whether it's the student protester crackdown, whether it's

513
00:23:34,280 --> 00:23:38,720
Speaker 2: the you know, the Pallenteer surveillance database, all of these

514
00:23:38,880 --> 00:23:42,560
Speaker 2: actions that he has taken in order to claim control,

515
00:23:42,560 --> 00:23:45,280
Speaker 2: even the tariffs, you know, tariffs are put into place

516
00:23:45,840 --> 00:23:47,960
Speaker 2: under this claim that there is some sort of national

517
00:23:48,000 --> 00:23:50,840
Speaker 2: emergency something that the course are now looking at very skeptically.

518
00:23:51,320 --> 00:23:56,440
Speaker 2: But all of these things are about crushing dissent, consolidating control,

519
00:23:57,160 --> 00:24:01,160
Speaker 2: and so yes, they are going to take any pretext

520
00:24:01,400 --> 00:24:08,240
Speaker 2: that they can to further those goals. I think you're

521
00:24:08,320 --> 00:24:11,159
Speaker 2: absolutely right that this is a you know, warning to

522
00:24:11,600 --> 00:24:14,800
Speaker 2: not only to states or localities, it's also a warning

523
00:24:14,880 --> 00:24:17,720
Speaker 2: to protesters. You know, we have had and not just

524
00:24:17,880 --> 00:24:21,880
Speaker 2: pro Palestine protesters, like anyone who will protest this administration.

525
00:24:22,400 --> 00:24:22,880
Speaker 3: We've had.

526
00:24:23,000 --> 00:24:25,520
Speaker 2: His counter terrors are go on TV and say, hey,

527
00:24:25,680 --> 00:24:28,160
Speaker 2: if you don't like Tesla's now, that one may be changing.

528
00:24:28,240 --> 00:24:30,240
Speaker 2: Now you'll be able to It's okay to let not

529
00:24:30,440 --> 00:24:34,080
Speaker 2: like Tesla's now. I got jel freedom again.

530
00:24:34,000 --> 00:24:36,920
Speaker 1: That those I bought this before Elon went crazy things,

531
00:24:37,000 --> 00:24:41,080
Speaker 1: I was like surging in Alabama. Yeah, right, I would

532
00:24:41,200 --> 00:24:44,000
Speaker 1: love to see Amazon sales data on who's buying those.

533
00:24:43,880 --> 00:24:44,520
Speaker 3: Who's buying those.

534
00:24:44,600 --> 00:24:46,639
Speaker 2: Now, yeah, Trump may be sticking one of those Tesla

535
00:24:46,680 --> 00:24:48,840
Speaker 2: outside the White House. But in any case, so you

536
00:24:49,000 --> 00:24:51,520
Speaker 2: have the counter terrors are who floated. You know, if

537
00:24:51,560 --> 00:24:54,200
Speaker 2: you're a domestic terrorist, if you heard of Tesla, you're

538
00:24:54,200 --> 00:24:56,760
Speaker 2: a domestic terrorist. If you participate in like the hands

539
00:24:56,800 --> 00:24:59,919
Speaker 2: off protests, your domestic terror. Certainly if you are propeller

540
00:25:00,200 --> 00:25:05,480
Speaker 2: sign and so they will use anything they can to

541
00:25:05,760 --> 00:25:09,200
Speaker 2: crush descent and claim power. The fact that it's Gavin

542
00:25:09,240 --> 00:25:12,840
Speaker 2: Newsom that only fuels the fire. There was some you know,

543
00:25:13,040 --> 00:25:15,639
Speaker 2: indications that there's been a back and forth, and I

544
00:25:15,680 --> 00:25:17,000
Speaker 2: think this is part of the context in.

545
00:25:16,960 --> 00:25:17,920
Speaker 3: The background here as well.

546
00:25:18,600 --> 00:25:22,240
Speaker 2: Trump is preparing to strip a lot of federal funding

547
00:25:22,320 --> 00:25:25,600
Speaker 2: from the state of California, and Gavin Newsom said something

548
00:25:25,640 --> 00:25:27,840
Speaker 2: in return basically like, hey, you should keep in mind

549
00:25:28,080 --> 00:25:32,879
Speaker 2: that we are a mass net contributor to taxes. We

550
00:25:33,000 --> 00:25:36,240
Speaker 2: put in way more federal taxes then we get back,

551
00:25:36,560 --> 00:25:38,719
Speaker 2: and maybe we should reconsider that relationship.

552
00:25:39,800 --> 00:25:42,080
Speaker 3: And it's you know, just shortly on.

553
00:25:42,200 --> 00:25:45,560
Speaker 2: The heels of him making those comments that this you know,

554
00:25:45,800 --> 00:25:50,200
Speaker 2: extraordinary action is taken by Trump, which again I just

555
00:25:50,280 --> 00:25:53,880
Speaker 2: want people to think about the comparison between these protests,

556
00:25:54,200 --> 00:25:57,439
Speaker 2: which are really pretty especially Day one. You know, now

557
00:25:57,480 --> 00:26:00,480
Speaker 2: we got cars wearing whatever after the national garget brought in,

558
00:26:00,600 --> 00:26:03,639
Speaker 2: which I think just heightened the tension and escalated the chaos.

559
00:26:03,960 --> 00:26:06,399
Speaker 2: But in any case, these are fairly run of the

560
00:26:06,480 --> 00:26:09,360
Speaker 2: mill protest Like this was nothing. The LAPD with their

561
00:26:09,440 --> 00:26:12,439
Speaker 2: seven thousand and nine thousand or however many cops they

562
00:26:12,520 --> 00:26:16,679
Speaker 2: have were unable to handle. Compare that to the LA riots, Right,

563
00:26:16,960 --> 00:26:19,879
Speaker 2: that was crazy. I mean, there is no comparison here.

564
00:26:20,320 --> 00:26:23,639
Speaker 2: You had sixty plus people who were killed, who were

565
00:26:23,680 --> 00:26:27,600
Speaker 2: shot dead, You had I mean whole neighborhood's businesses looted

566
00:26:27,680 --> 00:26:31,240
Speaker 2: a billion dollars in nineteen ninety two dollars in property damage.

567
00:26:31,280 --> 00:26:34,800
Speaker 3: I mean, it was that was a very different situation.

568
00:26:35,160 --> 00:26:38,240
Speaker 2: And it's also a very different situation from nineteen sixty

569
00:26:38,359 --> 00:26:40,960
Speaker 2: five when you have Southern states saying we are not

570
00:26:41,240 --> 00:26:45,360
Speaker 2: going to desegregate, an open defiance of the federal government.

571
00:26:45,760 --> 00:26:51,440
Speaker 3: So, you know, in terms of the the legal standing here,

572
00:26:52,359 --> 00:26:53,000
Speaker 3: like I said.

573
00:26:52,840 --> 00:26:56,120
Speaker 2: Before, it is noteworthy he hasn't invoked the Insurrection Act,

574
00:26:56,160 --> 00:26:58,960
Speaker 2: which actually came as a surprise everyone sort of assumed

575
00:26:59,160 --> 00:27:01,560
Speaker 2: that was what he do because that would allow him

576
00:27:01,600 --> 00:27:06,960
Speaker 2: the most expansive powers. Instead, they use this Title ten authority,

577
00:27:07,440 --> 00:27:11,879
Speaker 2: which seems to you know, the legal justification if you

578
00:27:11,960 --> 00:27:14,000
Speaker 2: read between the lines on the you know, the the

579
00:27:14,080 --> 00:27:17,640
Speaker 2: legal analyzes that I've been reading, would seem to indicate

580
00:27:17,840 --> 00:27:20,240
Speaker 2: that they might might be able to get away with

581
00:27:20,320 --> 00:27:24,639
Speaker 2: this limited support role. And you know, but even that

582
00:27:25,160 --> 00:27:28,960
Speaker 2: to do it without the governor's consent. Gavin Newsom is clearly,

583
00:27:30,000 --> 00:27:32,920
Speaker 2: he has stated clearly he believes that it's illegal, and

584
00:27:33,600 --> 00:27:35,959
Speaker 2: we could put a five B up on the screen here.

585
00:27:36,040 --> 00:27:39,439
Speaker 2: Let's get a bit of his response. He has formally

586
00:27:39,520 --> 00:27:43,679
Speaker 2: requested they rescind their unlawful deployment of troops in La County,

587
00:27:43,720 --> 00:27:45,440
Speaker 2: returned them to my command. He says, we didn't have

588
00:27:45,480 --> 00:27:47,800
Speaker 2: a problem until Trump got involved, as a serious breach

589
00:27:48,080 --> 00:27:51,000
Speaker 2: of state sovereignty, inflaming tensions while pulling resources from where

590
00:27:51,000 --> 00:27:54,800
Speaker 2: they're actually needed. Rescind the order, return control to California.

591
00:27:55,080 --> 00:27:57,200
Speaker 2: I think this is probably the first step before he

592
00:27:57,440 --> 00:28:00,760
Speaker 2: actively files suit in order to try to force the

593
00:28:00,840 --> 00:28:04,280
Speaker 2: courts to require this recision of this order, which he

594
00:28:04,359 --> 00:28:08,520
Speaker 2: calls unlawful and many many scholars degree is unlawful.

595
00:28:08,560 --> 00:28:10,160
Speaker 3: Let's put a five up on the screen.

596
00:28:10,240 --> 00:28:13,119
Speaker 2: This was his kind of initial reaction and has been

597
00:28:13,160 --> 00:28:15,119
Speaker 2: the tone that he's been striking. He says, the federal

598
00:28:15,160 --> 00:28:18,359
Speaker 2: government is moving to take over the California National Guard

599
00:28:18,600 --> 00:28:22,480
Speaker 2: and deploy two thousand soldiers. That move is purposely inflammatory.

600
00:28:22,760 --> 00:28:26,320
Speaker 2: We'll only escalate tensions. LA authorities are able to access

601
00:28:26,400 --> 00:28:28,960
Speaker 2: law enforcement assistance at a moment's notice. We're in close coordination.

602
00:28:29,320 --> 00:28:32,159
Speaker 2: The Guard has been admirable serving LA throughout recovery. This

603
00:28:32,359 --> 00:28:35,680
Speaker 2: is the wrong mission and will erode public trust. And

604
00:28:36,280 --> 00:28:40,600
Speaker 2: Tom Holman has been threatening Gavin Newsom and Karen Bassi

605
00:28:40,680 --> 00:28:43,240
Speaker 2: is the beyar of LA with potential arrests. So Gavin

606
00:28:43,320 --> 00:28:46,880
Speaker 2: got asked about this yesterday and here's what he had

607
00:28:46,960 --> 00:28:47,200
Speaker 2: to say.

608
00:28:47,440 --> 00:28:51,200
Speaker 4: Acts has been here ten years. The fear, the horror,

609
00:28:51,760 --> 00:28:53,680
Speaker 4: the hell is this guy come after me?

610
00:28:53,840 --> 00:28:54,200
Speaker 1: Arrest me.

611
00:28:54,320 --> 00:28:57,360
Speaker 4: Let's just get it over with. Tough guy. You know,

612
00:28:57,880 --> 00:29:00,800
Speaker 4: I don't give a damn, but I care about my community.

613
00:29:00,880 --> 00:29:03,560
Speaker 4: I care about this community. The hell are they doing?

614
00:29:04,160 --> 00:29:06,200
Speaker 4: These guys need to grow up, They need to stop,

615
00:29:07,240 --> 00:29:09,240
Speaker 4: and we need to push back. And I'm sorry to

616
00:29:09,320 --> 00:29:12,480
Speaker 4: be so clear, but that kind of bloviating is exhausting.

617
00:29:12,880 --> 00:29:14,960
Speaker 4: So Tom, arrest me, Let's go.

618
00:29:15,640 --> 00:29:18,920
Speaker 3: So he says, arrest me, let's go. So you know, he's.

619
00:29:20,320 --> 00:29:24,040
Speaker 2: Certainly coming out very strongly in terms of his rhetoric

620
00:29:24,120 --> 00:29:26,040
Speaker 2: and pushing back against this. And like I said, I

621
00:29:26,080 --> 00:29:28,520
Speaker 2: think the letter. That letter is significant because it probably

622
00:29:28,640 --> 00:29:30,720
Speaker 2: is step one before he officially files suit to try

623
00:29:30,760 --> 00:29:31,560
Speaker 2: to get court to strike this.

624
00:29:31,640 --> 00:29:33,160
Speaker 1: Yes, so we'll see. I mean, I think a lot

625
00:29:33,200 --> 00:29:36,520
Speaker 1: of it is. It's interesting even also in terms of

626
00:29:36,600 --> 00:29:40,400
Speaker 1: the way that they're responding because their response, like I said,

627
00:29:40,440 --> 00:29:41,960
Speaker 1: I mean, this is part of where I do see

628
00:29:42,000 --> 00:29:44,560
Speaker 1: democratic leaders acting very differently. They're like, hey, we have

629
00:29:44,680 --> 00:29:47,800
Speaker 1: all the resources to handle this, right, They're like, we

630
00:29:47,960 --> 00:29:50,280
Speaker 1: are ready to roll. And again, I mean, look, you

631
00:29:50,360 --> 00:29:52,280
Speaker 1: can call Karen Bass woke and all. I mean think

632
00:29:52,360 --> 00:29:54,240
Speaker 1: she has actually been a terrible mayor when we were

633
00:29:54,280 --> 00:29:56,840
Speaker 1: talking about the LA fires. But in this case, I

634
00:29:56,880 --> 00:29:59,120
Speaker 1: mean I have not yet seen evidence or anything like

635
00:29:59,200 --> 00:30:01,280
Speaker 1: that that she's like, tell me the LAPD to stand

636
00:30:01,360 --> 00:30:03,920
Speaker 1: down or not to enforce the law. I mean, we

637
00:30:03,920 --> 00:30:06,120
Speaker 1: don't want to downplay it. You shouldn't be people throwing

638
00:30:06,200 --> 00:30:08,640
Speaker 1: rocks at federal agents. It's like not normal, it's not

639
00:30:08,760 --> 00:30:11,840
Speaker 1: good and so that's something that is going to be happening.

640
00:30:11,880 --> 00:30:15,200
Speaker 1: It's going to of course invite a response. But yeah, broadly,

641
00:30:15,440 --> 00:30:19,640
Speaker 1: this is a clash of big political forces, and you know,

642
00:30:19,680 --> 00:30:22,360
Speaker 1: we should contextualize it certainly, you know, in terms of

643
00:30:22,440 --> 00:30:25,280
Speaker 1: the situation, which people are hyper focused on that, and

644
00:30:25,360 --> 00:30:28,000
Speaker 1: then also in the broader picture, like you're saying about

645
00:30:28,080 --> 00:30:30,840
Speaker 1: what this really means what with the Trump administration and

646
00:30:30,880 --> 00:30:32,920
Speaker 1: its view of power. I do think it's very interesting

647
00:30:32,960 --> 00:30:35,400
Speaker 1: they didn't do the Insurrection Act, and I mean there's

648
00:30:35,400 --> 00:30:36,760
Speaker 1: a couple of things that we can look to and

649
00:30:36,840 --> 00:30:40,160
Speaker 1: say that the Trump administration, within their review, is trying

650
00:30:40,200 --> 00:30:42,800
Speaker 1: to appear more reasonable like this time around. This may

651
00:30:42,880 --> 00:30:44,880
Speaker 1: sound crazy to somebody like you, but think about it.

652
00:30:44,960 --> 00:30:47,520
Speaker 1: I mean, look, National Guard is not National two thousand

653
00:30:47,600 --> 00:30:49,280
Speaker 1: National Guard, but it is not the Insurrection Act. It's

654
00:30:49,320 --> 00:30:51,600
Speaker 1: not you know, we're threatening all these things we got

655
00:30:51,680 --> 00:30:53,880
Speaker 1: later on the show kill Marbrigo Garcia is back in

656
00:30:53,920 --> 00:30:55,680
Speaker 1: the United States. I mean, I don't think anybody who

657
00:30:55,760 --> 00:30:57,440
Speaker 1: was said that was going to happen twenty days whenever

658
00:30:57,480 --> 00:30:59,360
Speaker 1: I went on leave. What did we all say, It's

659
00:30:59,440 --> 00:31:01,120
Speaker 1: never going to hapen? They, I think, don't we have

660
00:31:01,200 --> 00:31:05,040
Speaker 1: tape just like that's not going they buckled right like

661
00:31:05,120 --> 00:31:07,920
Speaker 1: eventually they did buckle to the court. Uh, they've got

662
00:31:08,040 --> 00:31:10,160
Speaker 1: they were taken L after L right now at the

663
00:31:10,200 --> 00:31:12,640
Speaker 1: Supreme Court, you know, with the or in the court

664
00:31:12,720 --> 00:31:15,360
Speaker 1: system as well, like they have got. They're on the

665
00:31:15,400 --> 00:31:18,000
Speaker 1: back foot a little bit. And they're not stupid either

666
00:31:18,160 --> 00:31:20,400
Speaker 1: to see also, which we're about to talk about with

667
00:31:20,560 --> 00:31:22,760
Speaker 1: Doze and with Elon, that cost them a lot of

668
00:31:22,840 --> 00:31:27,200
Speaker 1: political capital between Dosee and tariffs. They have serious problems. Now.

669
00:31:27,200 --> 00:31:30,320
Speaker 1: I'm not going to downplay you know, what the future

670
00:31:30,680 --> 00:31:33,280
Speaker 1: and all of this will look like. But you know,

671
00:31:33,440 --> 00:31:35,360
Speaker 1: in a sense like that, I can see that there

672
00:31:35,480 --> 00:31:40,360
Speaker 1: is a calibration within their worldview for what is happening

673
00:31:40,480 --> 00:31:43,800
Speaker 1: right now. And while yes there's testing of the waters

674
00:31:43,840 --> 00:31:47,080
Speaker 1: and things, I think that people are also there, people

675
00:31:47,480 --> 00:31:49,720
Speaker 1: in the White House and all of that are There's

676
00:31:49,880 --> 00:31:52,400
Speaker 1: there's a tug, you know, war between the Stephen Miller

677
00:31:52,680 --> 00:31:55,240
Speaker 1: and then also between people who are looking few you know,

678
00:31:55,320 --> 00:31:58,120
Speaker 1: at the future for the midterms. Let's not forget we

679
00:31:58,200 --> 00:32:00,840
Speaker 1: don't have the show. This tax bill is about the pass.

680
00:32:01,080 --> 00:32:03,040
Speaker 1: No matter what you think of the tax bill, I mean,

681
00:32:03,240 --> 00:32:05,880
Speaker 1: anytime you give what is it permanent tax cuts to

682
00:32:06,040 --> 00:32:08,960
Speaker 1: the wealthiest people in the United States. Effectively, what they're

683
00:32:08,960 --> 00:32:11,959
Speaker 1: doing is enshrining the current law into law, as well

684
00:32:11,960 --> 00:32:15,240
Speaker 1: as a bunch of other stuff that never pulls very popularly,

685
00:32:15,320 --> 00:32:18,000
Speaker 1: and that's a huge benefit. We still don't know if

686
00:32:18,040 --> 00:32:20,160
Speaker 1: medicaid or whatever is on the table, but you know,

687
00:32:20,480 --> 00:32:23,680
Speaker 1: there's a precarious political landscape in the next one to

688
00:32:23,760 --> 00:32:25,120
Speaker 1: two years that I see for them.

689
00:32:25,560 --> 00:32:27,720
Speaker 2: Let me just put this last piece up on the screen.

690
00:32:27,840 --> 00:32:30,880
Speaker 2: This is a eight B Trump's I think this is

691
00:32:30,960 --> 00:32:33,120
Speaker 2: his most recent truth. I don't know, IM not sure,

692
00:32:33,280 --> 00:32:35,600
Speaker 2: but one of his more recent truths. This is his

693
00:32:35,720 --> 00:32:38,360
Speaker 2: latest sauce. He says, a once great American city, LA

694
00:32:38,800 --> 00:32:42,320
Speaker 2: has been invaded and occupied by illegal aliens and criminals. Now,

695
00:32:42,440 --> 00:32:45,880
Speaker 2: violent insurrectionist mobs are swimming and attacking our federal agents

696
00:32:45,920 --> 00:32:49,160
Speaker 2: to try and stop our deportation operations. These lawless rides

697
00:32:49,200 --> 00:32:53,680
Speaker 2: only strengthen our resolve, directing Secretary of Home and Security Christinoam,

698
00:32:53,760 --> 00:32:56,920
Speaker 2: Secretary Defense Pete Hegsett, Attorney General Pambondi, and coordination with

699
00:32:56,960 --> 00:33:00,200
Speaker 2: all other relevant departments and agencies to take all all

700
00:33:00,320 --> 00:33:04,520
Speaker 2: such action necessary to liberate Los Angeles from the migrant

701
00:33:04,640 --> 00:33:08,160
Speaker 2: invasion and put an end to these migrant riots. That's

702
00:33:08,160 --> 00:33:10,320
Speaker 2: another thing is they're trying to project like the people

703
00:33:10,400 --> 00:33:14,040
Speaker 2: participating here are all immigrants, are undocumented, and there's just

704
00:33:14,240 --> 00:33:16,640
Speaker 2: no proof. I mean, I think vast majority are very

705
00:33:16,760 --> 00:33:19,960
Speaker 2: likely American citizens. In any case, I actually don't. I

706
00:33:20,000 --> 00:33:23,080
Speaker 2: mean LA is I mean, there's La has a massive

707
00:33:23,400 --> 00:33:26,160
Speaker 2: immigrant population, but also a massive you know, like people

708
00:33:26,200 --> 00:33:28,640
Speaker 2: who were immigrants and are now citizens population.

709
00:33:28,760 --> 00:33:31,240
Speaker 1: There's no yeah, I mean that's what it's also, you

710
00:33:31,320 --> 00:33:33,120
Speaker 1: know what the second largest city in the United States

711
00:33:33,160 --> 00:33:35,600
Speaker 1: of America, right, I mean there's I mean, it probably

712
00:33:35,640 --> 00:33:38,280
Speaker 1: does a very large legal population. Like let's be honest, sure,

713
00:33:38,720 --> 00:33:39,040
Speaker 1: I don't know.

714
00:33:39,120 --> 00:33:42,360
Speaker 2: I again, we have no I think it's unlikely, frankly

715
00:33:42,480 --> 00:33:45,720
Speaker 2: because most people who are undocumented are very leery of

716
00:33:45,920 --> 00:33:48,640
Speaker 2: doing much of anything right now because they're afraid of

717
00:33:48,680 --> 00:33:51,320
Speaker 2: being picked up and deported. So the risk is much higher. Listen,

718
00:33:51,400 --> 00:33:53,240
Speaker 2: we have no numbers. But that's what they want to project,

719
00:33:53,440 --> 00:33:55,960
Speaker 2: is that this is all like undocumented immigrants and that's

720
00:33:56,000 --> 00:33:58,720
Speaker 2: an invasion of LA, and that's why they're seizing on

721
00:33:58,840 --> 00:34:01,200
Speaker 2: the Mexican the you know, just display of the Mexican.

722
00:34:00,920 --> 00:34:02,880
Speaker 1: Flags seizing it's a Mexican flag.

723
00:34:03,360 --> 00:34:08,320
Speaker 3: Yeah, again, it's everywhere. But there are also American flags,

724
00:34:08,360 --> 00:34:10,200
Speaker 3: but you don't see those being I don't see very.

725
00:34:10,160 --> 00:34:13,240
Speaker 1: Many of them. I was looking because images I don't want.

726
00:34:13,120 --> 00:34:13,400
Speaker 4: To be for.

727
00:34:13,880 --> 00:34:14,880
Speaker 1: We got plenty of images here.

728
00:34:15,480 --> 00:34:17,320
Speaker 2: To be honest with you, I actually watched I actually

729
00:34:17,360 --> 00:34:20,560
Speaker 2: watched a clip that Elon retweeted that showcased a bunch

730
00:34:20,600 --> 00:34:21,600
Speaker 2: of American flags.

731
00:34:21,680 --> 00:34:23,759
Speaker 1: I see a lot. They're out there, Mexican flags. They

732
00:34:23,800 --> 00:34:26,560
Speaker 1: don't know people are illegal on stolen. But that's the

733
00:34:26,840 --> 00:34:29,359
Speaker 1: typical leftist fair It's fine. I'm not going to sit

734
00:34:29,480 --> 00:34:32,279
Speaker 1: here and like cat turn it up or whatever, but like,

735
00:34:32,400 --> 00:34:34,719
Speaker 1: let's be honest about who we're dealing with here.

736
00:34:34,920 --> 00:34:38,520
Speaker 2: Like sure, But in like I was saying, I think

737
00:34:39,040 --> 00:34:43,640
Speaker 2: there's also an element of this where Trump is rhetoric

738
00:34:43,800 --> 00:34:46,920
Speaker 2: on immigration this time. Although there was you know, some

739
00:34:47,239 --> 00:34:49,000
Speaker 2: talk about like oh, they're taking your house and you're

740
00:34:49,000 --> 00:34:52,759
Speaker 2: taking your jobs, it was more about they're emptying the

741
00:34:52,880 --> 00:34:56,000
Speaker 2: insane asylums, and these are all criminals, and we're going

742
00:34:56,080 --> 00:34:58,960
Speaker 2: to go after these criminals and to port them. And

743
00:34:59,400 --> 00:35:04,360
Speaker 2: they're simply aren't that many undocumented immigrants who are criminals

744
00:35:05,000 --> 00:35:08,080
Speaker 2: and so I think part of this as well is

745
00:35:08,480 --> 00:35:11,759
Speaker 2: since you have this increasing sort of realization of who

746
00:35:12,120 --> 00:35:15,120
Speaker 2: is actually being targeted, who is actually being deported, and

747
00:35:15,280 --> 00:35:18,640
Speaker 2: there tend to be more sympathetic figures and people are

748
00:35:18,719 --> 00:35:20,760
Speaker 2: just like here trying to you know, live a life.

749
00:35:20,640 --> 00:35:22,280
Speaker 3: And work and get a job and whatever.

750
00:35:23,600 --> 00:35:27,440
Speaker 2: This can substitute in for portraying that level of like

751
00:35:27,560 --> 00:35:31,040
Speaker 2: criminality and lawlessness. I think is part of the reason

752
00:35:31,160 --> 00:35:34,840
Speaker 2: why they're making this affirmative effort to project that everyone

753
00:35:34,960 --> 00:35:38,680
Speaker 2: participating is an undocumented immigrant, which is like definitely not

754
00:35:38,840 --> 00:35:41,200
Speaker 2: the case. So in any case, I think that's that's

755
00:35:41,320 --> 00:35:43,759
Speaker 2: part of the narrative that they are trying to spin

756
00:35:43,880 --> 00:35:44,480
Speaker 2: here as well.

757
00:35:44,840 --> 00:35:46,920
Speaker 1: Yeah, and to your point, and it helps, and like

758
00:35:47,440 --> 00:35:50,279
Speaker 1: you burn cars and you have I skin flags.

759
00:35:50,000 --> 00:35:53,000
Speaker 2: Absolutely agree that when you have, like I said before,

760
00:35:53,520 --> 00:35:56,200
Speaker 2: the image of a burning Weimo with a Mexican flag

761
00:35:56,480 --> 00:35:59,239
Speaker 2: is so perfect for them that I have to ask

762
00:35:59,320 --> 00:36:02,280
Speaker 2: the like, yeah, it like seems way too on the nose.

763
00:36:02,760 --> 00:36:04,759
Speaker 3: So in any case, you got.

764
00:36:04,800 --> 00:36:08,680
Speaker 1: To remember too, most of the country has never been

765
00:36:08,719 --> 00:36:11,000
Speaker 1: to Los Angeles. Right if you live in a red state,

766
00:36:11,719 --> 00:36:14,480
Speaker 1: like you think San Francisco is just like riddled with

767
00:36:14,600 --> 00:36:17,680
Speaker 1: shit because it's like the tender Loin district or you think,

768
00:36:17,760 --> 00:36:20,880
Speaker 1: and look, I'm not downplaying that because it is terrible.

769
00:36:20,960 --> 00:36:22,640
Speaker 1: I've been, I've seen it. It's awful, you know. Or

770
00:36:23,320 --> 00:36:27,000
Speaker 1: Downtown LA like seeing this what I forget exactly what

771
00:36:27,080 --> 00:36:29,759
Speaker 1: it's called. I'm completely blanking on it. That area of

772
00:36:29,840 --> 00:36:32,480
Speaker 1: downtown skid Row, that is one of the worst things

773
00:36:32,480 --> 00:36:35,359
Speaker 1: I've ever seen in my whole life, ever seen. I'm

774
00:36:35,400 --> 00:36:39,400
Speaker 1: talking about the slums of Mumbai are comparable to the

775
00:36:39,680 --> 00:36:42,680
Speaker 1: skid Row. It is horrific. So I don't want to

776
00:36:42,760 --> 00:36:45,359
Speaker 1: downplay that. There is a tendency though, in the Middle

777
00:36:45,400 --> 00:36:47,800
Speaker 1: American others to think that that's what it all looks like.

778
00:36:47,920 --> 00:36:50,920
Speaker 1: Or Chicago it's all like, you know, Shiraq or whatever.

779
00:36:51,040 --> 00:36:53,520
Speaker 1: But Mexican flags burning in the middle they don't know.

780
00:36:53,800 --> 00:36:56,080
Speaker 1: So when you see images of what is it the

781
00:36:56,080 --> 00:36:58,960
Speaker 1: four or five in LA being blocked up in Alabama,

782
00:36:59,080 --> 00:37:02,480
Speaker 1: in Michigan, in Pennsylvania and all this, I can guarantee

783
00:37:02,520 --> 00:37:05,160
Speaker 1: you you know, these things are going viral all across

784
00:37:05,200 --> 00:37:07,240
Speaker 1: the country. I mean, look, we could debate forever about

785
00:37:07,520 --> 00:37:10,000
Speaker 1: illegal immigration and deportation. I mean, at the end of

786
00:37:10,040 --> 00:37:11,880
Speaker 1: the day, if you're here illegally, you are liable to

787
00:37:11,960 --> 00:37:13,880
Speaker 1: be deported. Whether it should be or not. We can

788
00:37:14,000 --> 00:37:16,640
Speaker 1: argue that all day long, but as the law currently stands,

789
00:37:16,680 --> 00:37:18,720
Speaker 1: and as the law that's about to I think probably

790
00:37:18,800 --> 00:37:21,600
Speaker 1: going to go into effect, like that's something that is

791
00:37:21,719 --> 00:37:24,960
Speaker 1: going to be happening. Again. We can debate morality, et

792
00:37:25,000 --> 00:37:27,200
Speaker 1: cetera of all of that, but at the end of

793
00:37:27,239 --> 00:37:30,280
Speaker 1: the day, you know, having people throw things at federal agents,

794
00:37:30,360 --> 00:37:33,840
Speaker 1: Mexican flags and all of that, these are sympathetic images

795
00:37:34,080 --> 00:37:36,520
Speaker 1: for the Trump administration. In fact, I mean it almost

796
00:37:36,560 --> 00:37:40,919
Speaker 1: makes me question why they started with these mach mood

797
00:37:41,000 --> 00:37:46,000
Speaker 1: khalils and I'm blanking on the guy's name, the Buddhist guy. Yeah,

798
00:37:46,080 --> 00:37:49,000
Speaker 1: I mean these are like ten times more sympathetic figures,

799
00:37:49,880 --> 00:37:52,160
Speaker 1: Like why do they start with the propalas Indian movement

800
00:37:52,760 --> 00:37:54,319
Speaker 1: in a certain stent? I mean, we could probably talk

801
00:37:54,360 --> 00:37:55,600
Speaker 1: forever about that, but it's interesting.

802
00:37:55,760 --> 00:37:57,920
Speaker 2: Let me make one more point that we can talk

803
00:37:57,960 --> 00:38:00,960
Speaker 2: about Elon with us. Actually there's a tie in too,

804
00:38:01,000 --> 00:38:02,840
Speaker 2: because Elon is like, you know, seizing on this to

805
00:38:02,920 --> 00:38:05,040
Speaker 2: kind of like you know, smooth over some of his

806
00:38:06,400 --> 00:38:09,000
Speaker 2: some of his ruptured ties with Mega. But in any case,

807
00:38:09,960 --> 00:38:13,160
Speaker 2: you know, I think what what I was talking to

808
00:38:13,239 --> 00:38:15,040
Speaker 2: Kyle about this last night, and he was saying, like

809
00:38:15,440 --> 00:38:18,400
Speaker 2: they were gonna, like it doesn't matter whether the protests

810
00:38:18,400 --> 00:38:20,480
Speaker 2: are peaceful or not peaceful or whatever. They were going

811
00:38:20,560 --> 00:38:22,520
Speaker 2: to do this sort of thing anyway. And I think

812
00:38:22,560 --> 00:38:24,279
Speaker 2: there's a reasonable point to me a bit about that

813
00:38:24,360 --> 00:38:29,120
Speaker 2: because the pro Palestine protests. Think about the Pro Palestine protests,

814
00:38:29,120 --> 00:38:32,080
Speaker 2: though they were over, I mean, they really were sort

815
00:38:32,120 --> 00:38:35,600
Speaker 2: of a model movement, including really highlighting Jewish voices at

816
00:38:35,640 --> 00:38:38,640
Speaker 2: the center of it, you know, peaceful, like the most

817
00:38:38,680 --> 00:38:40,839
Speaker 2: aggressive thing they did was to take over that one

818
00:38:40,880 --> 00:38:43,319
Speaker 2: building on the Columbia campus, which you know, you can

819
00:38:43,400 --> 00:38:46,279
Speaker 2: debate and dispute, but that is sort of grounded and

820
00:38:46,400 --> 00:38:50,800
Speaker 2: typical like you know, anti war protest movement tactics. And

821
00:38:51,200 --> 00:38:55,440
Speaker 2: they were really really disciplined. And you know, anytime you

822
00:38:55,560 --> 00:38:58,479
Speaker 2: have a movement, a large movement of people, you're gonna

823
00:38:58,480 --> 00:39:00,200
Speaker 2: have some people who do some things that are like

824
00:39:00,360 --> 00:39:02,439
Speaker 2: you know, some graffiti or so something that you don't

825
00:39:02,480 --> 00:39:05,040
Speaker 2: but considering the number of people and the extent of

826
00:39:05,120 --> 00:39:08,440
Speaker 2: locations and all of that, they were really disciplined and

827
00:39:08,840 --> 00:39:12,640
Speaker 2: there was a significant crackdown. Now the National Guard wasn't

828
00:39:12,640 --> 00:39:15,200
Speaker 2: called in, but there was a significant crackdown, and there

829
00:39:15,239 --> 00:39:20,520
Speaker 2: has been an aggressive, over the top federal government response,

830
00:39:20,880 --> 00:39:24,400
Speaker 2: right including pulling all the ability of Harvard to have

831
00:39:24,520 --> 00:39:27,440
Speaker 2: foreign students at all, and taking over Middle Eastern studies

832
00:39:27,480 --> 00:39:30,960
Speaker 2: departments and arresting people like mack Mood Khalil and arresting

833
00:39:31,000 --> 00:39:34,880
Speaker 2: Moslim Mandawi and arresting messa Os Turk for writing an

834
00:39:34,920 --> 00:39:38,520
Speaker 2: op ed and you know, really punishing anyone who would

835
00:39:38,520 --> 00:39:39,680
Speaker 2: dissent from that narrative.

836
00:39:40,040 --> 00:39:42,000
Speaker 3: So in a sense, would they have called in the

837
00:39:42,080 --> 00:39:43,600
Speaker 3: National Guard? What would be exactly the same?

838
00:39:43,800 --> 00:39:46,840
Speaker 2: Hard to say, but there is a top down crackdown

839
00:39:46,920 --> 00:39:49,520
Speaker 2: on dissent regardless of how good or perfect your protest

840
00:39:49,600 --> 00:39:50,000
Speaker 2: movement is.

841
00:39:50,280 --> 00:39:52,800
Speaker 3: That is certainly the case. But I think what you're.

842
00:39:52,760 --> 00:39:56,040
Speaker 2: Pointing to, what I will say for myself, is that

843
00:39:56,200 --> 00:39:59,960
Speaker 2: it also matters how the public receives that protest movement.

844
00:40:00,480 --> 00:40:03,239
Speaker 2: And so you know, in the case of the pro

845
00:40:03,360 --> 00:40:07,240
Speaker 2: Palestine movement, even though it hasn't moved our elected officials

846
00:40:07,320 --> 00:40:10,319
Speaker 2: because they're genocidal, horrific maniacs, whether you're talking about Biden

847
00:40:10,400 --> 00:40:12,840
Speaker 2: or you're talking about Trump, the public way a public

848
00:40:12,880 --> 00:40:16,000
Speaker 2: opinion has moved has been extraordinary. You know, the only

849
00:40:16,160 --> 00:40:20,320
Speaker 2: old Republicans basically are now more pro Israel than pro Palestine,

850
00:40:20,560 --> 00:40:22,280
Speaker 2: and that is a wild shift.

851
00:40:22,880 --> 00:40:23,160
Speaker 3: I think.

852
00:40:23,200 --> 00:40:26,520
Speaker 2: Another successful protest model in Trump two point zero era

853
00:40:26,760 --> 00:40:31,080
Speaker 2: has been You mentioned kill Maya Brego Garcia. There were protests,

854
00:40:31,280 --> 00:40:34,400
Speaker 2: There were peaceful protests. There was you know, a significant

855
00:40:34,480 --> 00:40:38,400
Speaker 2: effort of calling and writing members of Congress. There were

856
00:40:38,440 --> 00:40:40,799
Speaker 2: people showing up at these town halls to yell at them,

857
00:40:40,880 --> 00:40:44,560
Speaker 2: and you know, massive upset. You had Democratic politicians respond

858
00:40:44,800 --> 00:40:47,200
Speaker 2: by actually going to El Salvador, keeping the pressure on

859
00:40:47,280 --> 00:40:49,840
Speaker 2: the issue. You had the courts responding as well. So

860
00:40:49,920 --> 00:40:52,600
Speaker 2: you had all of these layers. And because of that,

861
00:40:53,080 --> 00:40:57,800
Speaker 2: when you pull on kill Maya Brego Garcia specifically, it

862
00:40:57,920 --> 00:41:01,680
Speaker 2: is one of Trump's worst polling issues. People are disgusted

863
00:41:02,000 --> 00:41:03,920
Speaker 2: with how he handled it. And the more that was

864
00:41:04,000 --> 00:41:06,160
Speaker 2: in the news, the more that the pressure was kept

865
00:41:06,200 --> 00:41:08,080
Speaker 2: on and that was kept in the news, the more

866
00:41:08,160 --> 00:41:13,279
Speaker 2: that Trump's overall approval on immigration fell. And so now

867
00:41:13,480 --> 00:41:16,080
Speaker 2: actually his approval rating on immigration has recovered a bit.

868
00:41:16,200 --> 00:41:17,880
Speaker 3: His overall approvals were covered.

869
00:41:17,600 --> 00:41:20,200
Speaker 2: A bit as that has become you know, more back

870
00:41:20,280 --> 00:41:22,200
Speaker 2: burner in terms of the news and hasn't been in

871
00:41:22,280 --> 00:41:26,040
Speaker 2: everyone's face. So there are there are models of you know,

872
00:41:26,200 --> 00:41:29,720
Speaker 2: movements that have used successful tactics that have really swayed

873
00:41:29,760 --> 00:41:33,160
Speaker 2: public opinion and moved people to their side, and have

874
00:41:33,280 --> 00:41:35,680
Speaker 2: even successfully in some ways you want to talk about,

875
00:41:35,719 --> 00:41:38,640
Speaker 2: Kilmar checked some of the ambitions of the Trump administration.

876
00:41:39,080 --> 00:41:40,920
Speaker 2: So I do think, you know, I know, people get

877
00:41:40,920 --> 00:41:42,719
Speaker 2: pissed off when you like, oh you don't wire you

878
00:41:42,800 --> 00:41:45,439
Speaker 2: nitpicking the tactics, But look, this is not a game.

879
00:41:45,880 --> 00:41:46,800
Speaker 3: This is very serious.

880
00:41:46,920 --> 00:41:49,960
Speaker 2: These are these are want to be fascists, and he

881
00:41:50,120 --> 00:41:53,239
Speaker 2: is an authoritarian who wants to use whatever pretext he

882
00:41:53,360 --> 00:41:56,080
Speaker 2: can to crack down and to crush dissent and to

883
00:41:56,160 --> 00:41:59,160
Speaker 2: spend you know, to create images and spend a narrative

884
00:41:59,200 --> 00:42:01,719
Speaker 2: and tell a story that plays into his hands. And

885
00:42:01,880 --> 00:42:03,520
Speaker 2: so you know, I think it's I think it's really

886
00:42:03,560 --> 00:42:06,719
Speaker 2: important to be smart and strategic and not give him

887
00:42:06,840 --> 00:42:09,960
Speaker 2: what he wants to provide a more effective pretext.

888
00:42:10,080 --> 00:42:12,000
Speaker 1: Well, they're never gonna listen to me, So for every

889
00:42:12,080 --> 00:42:15,719
Speaker 1: all the protest leaders, they're not gonna Yeah, no, I

890
00:42:15,800 --> 00:42:18,400
Speaker 1: think they would listen to you. Actually they probably hate me,

891
00:42:18,480 --> 00:42:20,239
Speaker 1: but that's fine. You know, I love you guys. Too.

892
00:42:20,360 --> 00:42:24,879
Speaker 1: It's okay, all right, let's go on to Elon. At

893
00:42:24,920 --> 00:42:27,840
Speaker 1: the same time, an extraordinary fallout between Elon Musk and

894
00:42:27,960 --> 00:42:30,719
Speaker 1: Donald Trump. Crystal and the team have already covered much

895
00:42:30,760 --> 00:42:33,640
Speaker 1: of that, but we do have some new developments, mostly

896
00:42:33,800 --> 00:42:37,600
Speaker 1: within the MAGA movement, to a really turning on Elon Musk.

897
00:42:38,040 --> 00:42:40,120
Speaker 1: Steve Bannon, who of course has been gunning for Musk

898
00:42:40,400 --> 00:42:43,680
Speaker 1: from day one, really seizing the opportunity to drive the

899
00:42:43,719 --> 00:42:46,560
Speaker 1: point home that he's an interloper, he's a big tech oligarch,

900
00:42:46,840 --> 00:42:49,200
Speaker 1: and now he wants to deport him. Let's take a listen.

901
00:42:49,560 --> 00:42:51,680
Speaker 6: And then as soon as President Trump comes out today

902
00:42:51,760 --> 00:42:54,160
Speaker 6: and President Trump's saying it in the nicest way possible

903
00:42:54,520 --> 00:42:57,239
Speaker 6: about the bill, right, the bill, but being ba bang back,

904
00:42:57,320 --> 00:42:59,960
Speaker 6: the guy gets up and starts tweeting the most visit.

905
00:43:00,000 --> 00:43:03,680
Speaker 6: That's just stuff you could tweet, So all the fanboys

906
00:43:03,719 --> 00:43:06,040
Speaker 6: defend this. He accused President Trump and basically being to

907
00:43:06,120 --> 00:43:08,840
Speaker 6: a group with those of pedophiles on the island. He

908
00:43:09,040 --> 00:43:12,600
Speaker 6: called for he called for the president to be impeached

909
00:43:13,000 --> 00:43:15,600
Speaker 6: and JD. Vance to take his role. As hard as

910
00:43:15,719 --> 00:43:18,080
Speaker 6: we've worked in all the years that we've walked in

911
00:43:18,200 --> 00:43:21,040
Speaker 6: this audience's work. Some punk is going to sit there

912
00:43:21,040 --> 00:43:24,200
Speaker 6: and go he's should be impeached. And hey, as sure

913
00:43:24,520 --> 00:43:28,319
Speaker 6: as the turning of the earth, if those progressors rub

914
00:43:28,440 --> 00:43:30,839
Speaker 6: up on him and say, hey, they're never gonna buy

915
00:43:30,960 --> 00:43:32,839
Speaker 6: the they're never going to buy the Tesla's where they're

916
00:43:32,840 --> 00:43:34,680
Speaker 6: going to buy the Tesla's they rub up on him,

917
00:43:34,960 --> 00:43:37,239
Speaker 6: He'll write a five hundred million dollar check for a

918
00:43:37,320 --> 00:43:40,160
Speaker 6: Keem Jefferies. He'll be across the thing looking to impeach

919
00:43:40,200 --> 00:43:42,800
Speaker 6: President Trump, looking to help steal the twenty eight election,

920
00:43:43,120 --> 00:43:45,560
Speaker 6: look into him, prison President Trump. So here's my point.

921
00:43:46,400 --> 00:43:49,799
Speaker 6: Let's get ahead of it and shipping thirteen million out

922
00:43:49,840 --> 00:43:52,600
Speaker 6: of here. Let me change that thirteen million in one

923
00:43:52,680 --> 00:43:54,800
Speaker 6: because Elon Musk is illegal and he got to go

924
00:43:54,960 --> 00:43:58,160
Speaker 6: to Okay, you're gonna ship these other people home. Let's

925
00:43:58,160 --> 00:44:00,520
Speaker 6: start with the Let's start with the South Africa. Okay,

926
00:44:00,600 --> 00:44:02,160
Speaker 6: and I got a couple other could go too, but

927
00:44:02,239 --> 00:44:06,080
Speaker 6: he's illegal. Deport immediately. We all want to cut federal spending.

928
00:44:06,719 --> 00:44:09,120
Speaker 6: His promise and commitment to the president of cutting one

929
00:44:09,160 --> 00:44:12,239
Speaker 6: treeion dollars in federal spending was something he stuck to

930
00:44:12,320 --> 00:44:14,200
Speaker 6: the end until we found out it was all a fraud.

931
00:44:14,400 --> 00:44:18,080
Speaker 6: I mean, this is what caused the physical altercation you

932
00:44:18,160 --> 00:44:21,200
Speaker 6: had in the West wing, right outside the Oval office

933
00:44:21,239 --> 00:44:24,319
Speaker 6: between the Secretary Treasury. Scott Beston is a good friend

934
00:44:24,320 --> 00:44:26,759
Speaker 6: of mine and a very even handed guy. He and

935
00:44:26,880 --> 00:44:31,160
Speaker 6: Elon got into a physical altercation, and that's because number

936
00:44:31,239 --> 00:44:33,560
Speaker 6: one people felt that day the Elon might have been

937
00:44:33,600 --> 00:44:36,319
Speaker 6: on drugs, and number two, Scott called him a fraud

938
00:44:36,400 --> 00:44:38,680
Speaker 6: to his face and said, look, we're in the middle

939
00:44:38,680 --> 00:44:41,239
Speaker 6: of a heart a terrible budget fight. You committed to

940
00:44:41,320 --> 00:44:43,439
Speaker 6: a two treeion dollars, then you committed to a tree

941
00:44:43,480 --> 00:44:45,200
Speaker 6: in dollars. Now you talk about one hundred and sixty

942
00:44:45,200 --> 00:44:48,200
Speaker 6: billion dollars. We don't see where you got anything, all.

943
00:44:48,160 --> 00:44:50,279
Speaker 1: Right, So, I mean, there's so much to say there.

944
00:44:50,320 --> 00:44:52,600
Speaker 1: We were joking, like, what exactly do you need to

945
00:44:52,680 --> 00:44:56,239
Speaker 1: do to piss off a guy like Scott Besson? To you,

946
00:44:56,520 --> 00:45:00,360
Speaker 1: a buttoned up Wall Street financier who literally in a

947
00:45:00,440 --> 00:45:02,239
Speaker 1: pink house, what do you have to do to get

948
00:45:02,320 --> 00:45:06,960
Speaker 1: him to punch you. I mean, listen, if you're a billionaire, first.

949
00:45:06,880 --> 00:45:13,040
Speaker 2: Punch Scott, it's certainly he hates your gut. So apparently

950
00:45:13,160 --> 00:45:15,480
Speaker 2: that was pretty common sentiment within the Trump and.

951
00:45:15,480 --> 00:45:17,800
Speaker 1: Mary comry sentiment. Yeah. I mean, look, let's go to

952
00:45:17,880 --> 00:45:20,640
Speaker 1: the next one, please, shall we We have Elon's response

953
00:45:20,719 --> 00:45:24,680
Speaker 1: here to Steve Bannon. Bannon is a criminal who oozes

954
00:45:24,840 --> 00:45:28,560
Speaker 1: evil from his face like a disease. He's a communist retard.

955
00:45:28,680 --> 00:45:31,840
Speaker 1: He's a peak retard, peak retard, as he continues to

956
00:45:31,920 --> 00:45:36,200
Speaker 1: say over and a criminal and criminal peak retard. Actually

957
00:45:36,200 --> 00:45:39,200
Speaker 1: it's just actually, I mean, yeah, I guess you're technically wait,

958
00:45:39,360 --> 00:45:41,680
Speaker 1: was he granted clemency your pardon? I forget So, I

959
00:45:41,760 --> 00:45:44,359
Speaker 1: don't know whatever he is in the eyes of the law.

960
00:45:44,440 --> 00:45:46,719
Speaker 1: What we do know is this is probably no coming

961
00:45:46,800 --> 00:45:49,400
Speaker 1: back from with his relationship with Donald Trump, and I

962
00:45:49,400 --> 00:45:52,839
Speaker 1: would say at least a certain sect of MAGA. Trump

963
00:45:52,920 --> 00:45:56,680
Speaker 1: says Elon Musk will face quote very serious consequences if

964
00:45:56,719 --> 00:45:59,759
Speaker 1: he funds Democratic candidates. You know, I don't think that

965
00:45:59,880 --> 00:46:02,160
Speaker 1: is going to happen, just because of how far Elon

966
00:46:02,200 --> 00:46:05,200
Speaker 1: has gone. But I was joking with several friends that you.

967
00:46:05,800 --> 00:46:07,480
Speaker 3: Don't think he'll fund the Democratic gut No.

968
00:46:07,560 --> 00:46:11,080
Speaker 1: But Elon is the perfect prey for people who you

969
00:46:11,160 --> 00:46:14,920
Speaker 1: and I know very well, Crystal, the no labels crowd. Yeah, Elon,

970
00:46:15,120 --> 00:46:18,440
Speaker 1: I mean, if you think about it, Elon is socially liberal,

971
00:46:18,960 --> 00:46:23,279
Speaker 1: fiscally conservative. He is filthy rich, and he cares a

972
00:46:23,360 --> 00:46:26,239
Speaker 1: lot about the debt. He has, you know, very or

973
00:46:26,400 --> 00:46:28,120
Speaker 1: at least pretends to care a lot about the debt.

974
00:46:28,320 --> 00:46:31,120
Speaker 1: And he's got shitloads of money, and he's got private

975
00:46:31,160 --> 00:46:35,919
Speaker 1: business interests. All of those things confluence in the Bipartisan

976
00:46:36,000 --> 00:46:40,240
Speaker 1: Policy Project or the No Label Center. He's tweeting about

977
00:46:40,280 --> 00:46:45,719
Speaker 1: a third party, right, I mean, this is this is

978
00:46:46,080 --> 00:46:50,360
Speaker 1: catnip for a certain type of Silicon Valley billionaire. The

979
00:46:50,440 --> 00:46:52,800
Speaker 1: amount of polsters who he's going to are going to

980
00:46:52,920 --> 00:46:55,120
Speaker 1: charge him ten times as a normal rate to prove

981
00:46:55,200 --> 00:46:58,560
Speaker 1: his bullshit, and his consultants and all of that. I mean,

982
00:46:58,880 --> 00:47:03,239
Speaker 1: the fallout is I find very vindicating because it's been

983
00:47:03,480 --> 00:47:06,160
Speaker 1: obvious that Elon has been a huge problem for the

984
00:47:06,160 --> 00:47:08,400
Speaker 1: Trump administration. But I mean, really, what I have to

985
00:47:08,440 --> 00:47:11,680
Speaker 1: say is looking at the Trump administration is Elon has

986
00:47:11,719 --> 00:47:13,640
Speaker 1: made them look like fools. And the reason why I

987
00:47:13,719 --> 00:47:17,400
Speaker 1: say that is think about the amount of political capital

988
00:47:17,680 --> 00:47:20,120
Speaker 1: that they went to bat for Elon Musk in the

989
00:47:20,239 --> 00:47:23,759
Speaker 1: first ninety days of the Trump administration, and particularly, let's

990
00:47:23,760 --> 00:47:26,000
Speaker 1: say with the first forty five days. The central story

991
00:47:26,280 --> 00:47:29,120
Speaker 1: of the United States of America was Doge was waste,

992
00:47:29,160 --> 00:47:31,319
Speaker 1: fraud and abuse. Now, I certainly still think that there

993
00:47:31,400 --> 00:47:34,440
Speaker 1: is a popular sentiment behind Doge and the idea of

994
00:47:34,640 --> 00:47:37,680
Speaker 1: like government corruption and all that. By about forty five

995
00:47:37,719 --> 00:47:39,920
Speaker 1: days or so, we have a story. This is bullshit, right,

996
00:47:40,000 --> 00:47:43,120
Speaker 1: This is just people who are gallibanting around getting access

997
00:47:43,120 --> 00:47:46,920
Speaker 1: to systems chaos. Ten day, what did you do today? Emails?

998
00:47:47,160 --> 00:47:51,440
Speaker 1: The White House went to extraordinary lengths to defend Elon.

999
00:47:52,160 --> 00:47:55,640
Speaker 1: I mean they had a car dealership marketing thing on

1000
00:47:55,800 --> 00:47:58,239
Speaker 1: the White House lawn. That's as good as it gets

1001
00:47:58,320 --> 00:48:01,479
Speaker 1: for any company. Crazy. He bought La on the side

1002
00:48:02,280 --> 00:48:03,759
Speaker 1: on the south lawn to the White House. I mean,

1003
00:48:03,800 --> 00:48:08,200
Speaker 1: that's that's fucking see. Okay, I mean that's nuts. They

1004
00:48:08,200 --> 00:48:10,880
Speaker 1: said they're going to charge people with domestic terrorism for

1005
00:48:11,000 --> 00:48:14,480
Speaker 1: burning down. Now listen, you know, maybe if if make

1006
00:48:14,520 --> 00:48:16,279
Speaker 1: sure it applies to everybody, but they were talking about

1007
00:48:16,280 --> 00:48:19,800
Speaker 1: Tesla specifically, right. I mean, they brought the full force

1008
00:48:19,880 --> 00:48:22,360
Speaker 1: of a White House in the United States federal government

1009
00:48:22,400 --> 00:48:26,400
Speaker 1: basically to bear to defend this man's reputation. They stretch

1010
00:48:26,480 --> 00:48:30,080
Speaker 1: the law special government employee Doge. I mean, how many

1011
00:48:30,160 --> 00:48:33,160
Speaker 1: cases before the United States Supreme court overdose and then

1012
00:48:33,480 --> 00:48:36,200
Speaker 1: to have a falling out like this is just so

1013
00:48:36,440 --> 00:48:39,560
Speaker 1: immensely embarrassing because it always comes back to the original

1014
00:48:39,640 --> 00:48:41,799
Speaker 1: stories of the first Trump administration where somebody would leave

1015
00:48:41,960 --> 00:48:44,560
Speaker 1: and then they would attack Trump and look at Trump

1016
00:48:44,600 --> 00:48:46,920
Speaker 1: and Mac and Alan would always attack them. But you know,

1017
00:48:47,320 --> 00:48:48,880
Speaker 1: it always comes back to judgment. It's like, yeah, but

1018
00:48:48,880 --> 00:48:50,600
Speaker 1: why did you hire him in the first place? Right,

1019
00:48:50,680 --> 00:48:53,359
Speaker 1: So it's like John Bolton, John Bolton is a warmonger, Like, yeah,

1020
00:48:53,360 --> 00:48:55,960
Speaker 1: but why did you hire him? What were you doing? Yeah? Right,

1021
00:48:56,000 --> 00:48:58,480
Speaker 1: So like that's about bad judgment. And so really, I

1022
00:48:58,560 --> 00:49:00,920
Speaker 1: mean I just think they look incredible foolish, Like you

1023
00:49:01,040 --> 00:49:04,799
Speaker 1: have all these statements from the White House from Donald Trump,

1024
00:49:04,920 --> 00:49:07,800
Speaker 1: I mean, all of the bromance pictures, so many of

1025
00:49:07,880 --> 00:49:09,960
Speaker 1: the you know, the Elon's kid in the in the

1026
00:49:10,080 --> 00:49:13,920
Speaker 1: Oval office, all this craziness, and so for them then

1027
00:49:14,000 --> 00:49:15,880
Speaker 1: to turn around and be like, I'm taking you know,

1028
00:49:15,960 --> 00:49:19,200
Speaker 1: the bigger hand, It's like you accepted, you know, his

1029
00:49:19,360 --> 00:49:21,840
Speaker 1: ketemine use and his erratic behavior and all the political

1030
00:49:21,920 --> 00:49:26,080
Speaker 1: problems that he caused. Initially, you basically whitewashed so many

1031
00:49:26,160 --> 00:49:28,560
Speaker 1: of the corruption allegations. I mean, it was were obvious

1032
00:49:28,600 --> 00:49:31,239
Speaker 1: and true, you know, going on at the time, and

1033
00:49:31,560 --> 00:49:34,320
Speaker 1: it's only now they do like attack you personally. You

1034
00:49:34,360 --> 00:49:36,359
Speaker 1: know that you're willing to turn on it. I mean

1035
00:49:36,360 --> 00:49:38,080
Speaker 1: in a certain sense. I don't think it's a bad thing.

1036
00:49:38,280 --> 00:49:41,239
Speaker 1: I mean because really what you have watched is a

1037
00:49:41,360 --> 00:49:44,239
Speaker 1: defenestration of I think a lot of the tech bro

1038
00:49:44,760 --> 00:49:48,399
Speaker 1: alliance with MAGA, because a lot of them, I really

1039
00:49:48,520 --> 00:49:51,960
Speaker 1: believe they thought Washington was almost even more corrupt than

1040
00:49:52,040 --> 00:49:53,680
Speaker 1: it is, and they're like, oh, we can just buy

1041
00:49:53,760 --> 00:49:57,799
Speaker 1: our way in, and they didn't realize that actually there's

1042
00:49:57,920 --> 00:50:01,000
Speaker 1: courts and Congress like all this other stuff, and you know,

1043
00:50:01,040 --> 00:50:04,040
Speaker 1: you actually have to align with democratic institutions. And I

1044
00:50:04,160 --> 00:50:07,000
Speaker 1: do feel like Elon's real breaking point is he didn't

1045
00:50:07,080 --> 00:50:10,160
Speaker 1: understand that you actually can't just buy everything that you want.

1046
00:50:10,360 --> 00:50:13,320
Speaker 1: I mean, we have the NASA administrator who got lumored,

1047
00:50:13,360 --> 00:50:14,880
Speaker 1: which is hilarious. You know, what did you do? He

1048
00:50:15,120 --> 00:50:18,719
Speaker 1: donated some democratic politicians, which like one time, which he

1049
00:50:18,840 --> 00:50:21,759
Speaker 1: told Trump and only recently they were like, actually, no,

1050
00:50:21,880 --> 00:50:23,920
Speaker 1: that's a huge problem. I can only assume that the

1051
00:50:24,000 --> 00:50:26,720
Speaker 1: NASA guy was probably going to be highly preferential to SpaceX.

1052
00:50:27,360 --> 00:50:30,680
Speaker 1: But then you also have you know, the standoff around

1053
00:50:30,680 --> 00:50:34,280
Speaker 1: the debt. I'm not going to speculate around Elon's intentions

1054
00:50:34,360 --> 00:50:36,440
Speaker 1: with I mean, he probably does care about the debt

1055
00:50:36,520 --> 00:50:39,480
Speaker 1: in a very like Malay libertarian sense. That's always kind

1056
00:50:39,480 --> 00:50:42,360
Speaker 1: of been his politics. But really, what I think it

1057
00:50:42,480 --> 00:50:44,839
Speaker 1: is is that the GOP was not listening to him.

1058
00:50:45,160 --> 00:50:47,000
Speaker 1: And I think the reason is it's not just they

1059
00:50:47,000 --> 00:50:50,879
Speaker 1: were listening to Trump. Guys. This is Washington. There are constituents.

1060
00:50:51,160 --> 00:50:53,040
Speaker 1: Elon is like, we need to cut the debt. The

1061
00:50:53,120 --> 00:50:55,320
Speaker 1: New York congressman is like, I will not vote for

1062
00:50:55,360 --> 00:50:58,600
Speaker 1: this bill unless every millionaire in my district gets assault deduction.

1063
00:50:59,040 --> 00:51:02,880
Speaker 1: That's called democratic politics. Everyone's like, oh, this bill is

1064
00:51:02,920 --> 00:51:05,200
Speaker 1: full of pork. Yeah, what do you do? That's how

1065
00:51:05,280 --> 00:51:08,040
Speaker 1: it works. Like part of the thing that he's finding

1066
00:51:08,080 --> 00:51:11,560
Speaker 1: out and interacting with are like actual politicians who are

1067
00:51:11,600 --> 00:51:14,560
Speaker 1: responsible to people, and I think that is something that

1068
00:51:15,040 --> 00:51:18,960
Speaker 1: he is. I think he's irreconcilable now truly to the

1069
00:51:19,000 --> 00:51:22,640
Speaker 1: political system. But bright bigger story is just the Trump

1070
00:51:22,640 --> 00:51:25,360
Speaker 1: administration of the Republican Party made a huge mistake I

1071
00:51:25,480 --> 00:51:30,560
Speaker 1: think by becoming so like wholly tied to Elon Musk

1072
00:51:30,640 --> 00:51:33,520
Speaker 1: and his erratic behavior, his business interests is various problems,

1073
00:51:33,840 --> 00:51:37,400
Speaker 1: and in particular, what they did wrong was not you know,

1074
00:51:37,560 --> 00:51:40,320
Speaker 1: accepting somebody's money is like fine, okay, everybody does it.

1075
00:51:40,400 --> 00:51:44,640
Speaker 1: But they kind of fused themselves both to Elon's benefit,

1076
00:51:45,120 --> 00:51:48,120
Speaker 1: to his identity and to his company. That was devastating.

1077
00:51:48,200 --> 00:51:49,920
Speaker 1: Already we can talk about the company, we can look

1078
00:51:49,920 --> 00:51:52,279
Speaker 1: at the stock price into Elon and all that, But

1079
00:51:52,400 --> 00:51:55,040
Speaker 1: to the Republican Party, you basically took somebody who's an

1080
00:51:55,120 --> 00:51:58,439
Speaker 1: erratic person, not even an Americans you know, originally a born,

1081
00:51:58,520 --> 00:52:01,520
Speaker 1: natural born American citizen who has all kinds of conflicts

1082
00:52:01,560 --> 00:52:03,960
Speaker 1: of interest, not as a politician by any means or

1083
00:52:04,000 --> 00:52:06,759
Speaker 1: any right, and you subsumed him into your identity and

1084
00:52:06,840 --> 00:52:09,399
Speaker 1: you took all of the political hit. And I would say,

1085
00:52:09,719 --> 00:52:11,359
Speaker 1: you know, if you really look at it, the two

1086
00:52:11,560 --> 00:52:13,840
Speaker 1: prongs that have hit the Trump administration of the Hartist

1087
00:52:14,120 --> 00:52:17,240
Speaker 1: it has been Doge and it has also been the tariffs.

1088
00:52:17,239 --> 00:52:19,359
Speaker 1: And obviously we'll talk about tariffs a little bit later,

1089
00:52:19,440 --> 00:52:21,520
Speaker 1: but those two combined as a one to two punch,

1090
00:52:21,960 --> 00:52:24,040
Speaker 1: I think it's been devastating, you know, to a lot

1091
00:52:24,120 --> 00:52:27,439
Speaker 1: of their political prospects even now in the future. So yeah,

1092
00:52:27,560 --> 00:52:29,799
Speaker 1: that's I mean, I don't thin these are particularly original thoughts,

1093
00:52:29,840 --> 00:52:32,440
Speaker 1: but I just think it was a huge mistake from

1094
00:52:32,480 --> 00:52:34,719
Speaker 1: the very beginning. Everybody could see it coming from a

1095
00:52:34,920 --> 00:52:38,880
Speaker 1: mile away that eventually something you know, would tear between

1096
00:52:38,960 --> 00:52:42,160
Speaker 1: if you look at Elon's entire history, like, I mean,

1097
00:52:42,200 --> 00:52:44,400
Speaker 1: I hate it, but like he brought himself into our

1098
00:52:44,440 --> 00:52:48,759
Speaker 1: world right, like every relationship he's in, it's a freaking mess. Yeah,

1099
00:52:49,040 --> 00:52:51,759
Speaker 1: I mean, you guys should read I really encourage people

1100
00:52:51,760 --> 00:52:55,080
Speaker 1: to read Ashley Vance's biography of Elon. Like he had

1101
00:52:55,440 --> 00:52:58,200
Speaker 1: a longtime secretary who had the gall to like ask

1102
00:52:58,280 --> 00:52:59,640
Speaker 1: him for a raise because she's like, hey, I do

1103
00:52:59,680 --> 00:53:01,600
Speaker 1: a lot of work around here, and he just fired her.

1104
00:53:01,719 --> 00:53:05,280
Speaker 1: And it's like what like like it's like every business partner,

1105
00:53:05,640 --> 00:53:07,880
Speaker 1: every major investor, I mean, he was forced out of

1106
00:53:08,080 --> 00:53:11,000
Speaker 1: everyone forgets this. At PayPal, they're like, Elon, we can't

1107
00:53:11,000 --> 00:53:12,680
Speaker 1: deal with him, and they forced him out as a

1108
00:53:12,760 --> 00:53:16,239
Speaker 1: CEO overnight. I mean this is He's always been like

1109
00:53:16,320 --> 00:53:21,520
Speaker 1: this disagreeable and kind of crazy, so this was an

1110
00:53:21,560 --> 00:53:25,800
Speaker 1: eventual outcome. I do think though, that the damage to

1111
00:53:26,400 --> 00:53:29,560
Speaker 1: the Doge product, the Doge project that has done to

1112
00:53:29,640 --> 00:53:31,600
Speaker 1: the White House is something that's going to be very

1113
00:53:31,600 --> 00:53:34,200
Speaker 1: difficult for them, because that was the initial spark of

1114
00:53:34,440 --> 00:53:37,640
Speaker 1: a lot of the original political protests against Trump. The tariffs,

1115
00:53:37,680 --> 00:53:41,520
Speaker 1: I think, hit everybody devastated, a lot of political opinion.

1116
00:53:41,760 --> 00:53:44,200
Speaker 1: And now you have all the elements of a bad

1117
00:53:44,239 --> 00:53:48,960
Speaker 1: Trump's story, which is infighting between two principal actors. Everybody

1118
00:53:49,080 --> 00:53:52,000
Speaker 1: loves juicy drama. We've got the Epstein stuff, which we'll

1119
00:53:52,040 --> 00:53:53,960
Speaker 1: get to in a little bit, which is just you know,

1120
00:53:54,120 --> 00:53:56,680
Speaker 1: clownish in terms of the way that Trump administration is

1121
00:53:56,760 --> 00:53:58,719
Speaker 1: handling it. And so yeah, I mean, just broadly, I

1122
00:53:58,760 --> 00:54:01,400
Speaker 1: think it's I think it's bad. It is a great lesson,

1123
00:54:01,520 --> 00:54:05,600
Speaker 1: I think as to why these people should not actually

1124
00:54:05,760 --> 00:54:09,040
Speaker 1: be all that intertwined in our democratic system. Like at

1125
00:54:09,040 --> 00:54:10,799
Speaker 1: the end of the day, yes, you can hate Donald Trump.

1126
00:54:11,000 --> 00:54:13,600
Speaker 1: He is a talented politician, you know, JD. And all

1127
00:54:13,680 --> 00:54:16,520
Speaker 1: these people they got themselves elected like they know what

1128
00:54:16,600 --> 00:54:19,920
Speaker 1: they're doing. To a certain extent, even Schumer. Okay, yes,

1129
00:54:20,080 --> 00:54:24,000
Speaker 1: I'll even say that they're better than these interlopers. And

1130
00:54:24,080 --> 00:54:25,880
Speaker 1: so in a sense, I am a little bit happy

1131
00:54:26,040 --> 00:54:27,839
Speaker 1: just to see some of that come in and because

1132
00:54:28,000 --> 00:54:30,720
Speaker 1: I mean, the arrogance was unbelievable. Oh yeah, in November.

1133
00:54:33,440 --> 00:54:35,239
Speaker 1: I have not told the story publicly, I will say

1134
00:54:35,239 --> 00:54:38,160
Speaker 1: it now. I knew somebody was very involved with Dosh

1135
00:54:38,280 --> 00:54:40,960
Speaker 1: and they said, you know, we're just so excited because

1136
00:54:40,960 --> 00:54:44,520
Speaker 1: there's never been a serious effort to cut spending in Washington.

1137
00:54:45,000 --> 00:54:47,279
Speaker 1: I literally laughed at them and I was like, I

1138
00:54:47,400 --> 00:54:49,239
Speaker 1: was like, do you know who Paul Ryan is? I

1139
00:54:49,360 --> 00:54:50,279
Speaker 1: was just like, do you know how to read a

1140
00:54:50,360 --> 00:54:52,560
Speaker 1: fucking book? Like no offense? You know, but do you

1141
00:54:52,640 --> 00:54:53,759
Speaker 1: even know what you're talking about?

1142
00:54:53,880 --> 00:54:53,960
Speaker 6: Right?

1143
00:54:54,120 --> 00:54:56,160
Speaker 1: And they thought I was the crazy one, right, And

1144
00:54:56,280 --> 00:54:58,000
Speaker 1: I was like, I was like, you have a I

1145
00:54:58,120 --> 00:55:00,480
Speaker 1: was like, you got a lot coming to you, my friend.

1146
00:55:00,560 --> 00:55:03,160
Speaker 1: In fact, there's a viral clip somebody sent me and

1147
00:55:03,280 --> 00:55:06,600
Speaker 1: me talking specifically about Doge on the Lex Rereadman podcast

1148
00:55:06,680 --> 00:55:08,640
Speaker 1: in November where I was like, yeah, I'm not so

1149
00:55:08,800 --> 00:55:10,840
Speaker 1: sure about this. I was like, Congress exists, this is

1150
00:55:10,880 --> 00:55:13,000
Speaker 1: not how Washington works. You know this, this and this.

1151
00:55:13,120 --> 00:55:14,719
Speaker 1: I was like, you're going to run up against up

1152
00:55:14,800 --> 00:55:17,080
Speaker 1: your office. And it's effectively what has happened. And now Elon,

1153
00:55:17,200 --> 00:55:20,560
Speaker 1: through his own personal machinations, has crashed out dramatically and

1154
00:55:20,600 --> 00:55:22,120
Speaker 1: Trump doesn't want his phone calls, so.

1155
00:55:22,239 --> 00:55:25,160
Speaker 2: Right, Yeah, Trump says that he's not really interested in

1156
00:55:25,239 --> 00:55:28,520
Speaker 2: talking to him. He says, he says that Elon is

1157
00:55:28,600 --> 00:55:30,839
Speaker 2: depressed and heartbrokenly true.

1158
00:55:30,920 --> 00:55:33,560
Speaker 1: What he has is Elon is pressed, right.

1159
00:55:34,520 --> 00:55:37,399
Speaker 3: I think he's bipolar, isn't he. He's a mess. He's

1160
00:55:37,400 --> 00:55:40,840
Speaker 3: a mess, and I mean, yes, he's like personally.

1161
00:55:40,640 --> 00:55:43,319
Speaker 2: Obviously, I'm in the White House with a black eye

1162
00:55:43,400 --> 00:55:45,200
Speaker 2: that you don't even bother to cover. Listen, I still

1163
00:55:45,239 --> 00:55:47,400
Speaker 2: have two black eyes. And I can give you some

1164
00:55:47,480 --> 00:55:50,680
Speaker 2: makeup tips. You don't have to show up with that

1165
00:55:50,840 --> 00:55:53,000
Speaker 2: all hanging out, you know, tweaking out.

1166
00:55:53,080 --> 00:55:54,400
Speaker 3: I mean, it's just it's insane.

1167
00:55:54,840 --> 00:55:57,160
Speaker 2: But you know, he put in more than a quarter

1168
00:55:57,239 --> 00:56:00,400
Speaker 2: of billion dollars into Trump's campaign and he was going

1169
00:56:00,440 --> 00:56:03,640
Speaker 2: to get something significant for that, and he did. And

1170
00:56:03,800 --> 00:56:06,000
Speaker 2: so even as like you have to hold two thoughts

1171
00:56:06,040 --> 00:56:07,960
Speaker 2: in your head, even as Doge was a total and

1172
00:56:08,000 --> 00:56:11,400
Speaker 2: complete failure on the cutting spending and like making the

1173
00:56:11,440 --> 00:56:14,120
Speaker 2: government more efficient front, in fact it did the opposite

1174
00:56:14,239 --> 00:56:17,320
Speaker 2: of both of those things. Elon got things out of

1175
00:56:17,400 --> 00:56:19,759
Speaker 2: it and did have a huge impact in terms of

1176
00:56:19,880 --> 00:56:23,800
Speaker 2: destroying some of these agencies. You know, his investigations got dropped.

1177
00:56:24,080 --> 00:56:27,400
Speaker 2: The latest story says they he installed starlink over the

1178
00:56:27,480 --> 00:56:29,880
Speaker 2: objections of some of the White House folks, so that

1179
00:56:30,000 --> 00:56:31,480
Speaker 2: he could pull whatever data.

1180
00:56:31,320 --> 00:56:33,680
Speaker 3: He wanted out. So I'm not even sure.

1181
00:56:33,760 --> 00:56:35,560
Speaker 2: I mean, I still have a lot of questions about

1182
00:56:35,680 --> 00:56:38,360
Speaker 2: what it is that he got out of DOGE, including

1183
00:56:38,440 --> 00:56:41,239
Speaker 2: possibly like tons of data to feed into his own

1184
00:56:41,320 --> 00:56:44,359
Speaker 2: AI in order to try to win the AI race

1185
00:56:44,560 --> 00:56:46,160
Speaker 2: versus his rival Sam Altman.

1186
00:56:46,520 --> 00:56:47,120
Speaker 3: That was apparent.

1187
00:56:47,280 --> 00:56:49,400
Speaker 2: That was saga another one of the falling out points.

1188
00:56:49,800 --> 00:56:52,279
Speaker 2: I think that as far as we know publicly, the

1189
00:56:52,360 --> 00:56:55,560
Speaker 2: two big things were the NASA administrator getting pulled, which

1190
00:56:55,640 --> 00:56:57,759
Speaker 2: was like the final straw, which that's when Elon just

1191
00:56:57,840 --> 00:57:00,399
Speaker 2: like goes nuclear and starts accusing Trump of a peto

1192
00:57:00,520 --> 00:57:03,239
Speaker 2: and all that sort of fun stuff and claims, by

1193
00:57:03,280 --> 00:57:05,520
Speaker 2: the way, comes out and says like you won the

1194
00:57:05,600 --> 00:57:09,400
Speaker 2: election because of me, which again is an extraordinary assertion.

1195
00:57:09,440 --> 00:57:11,719
Speaker 3: Just like, yeah, I bought the election. That's what he's saying.

1196
00:57:11,760 --> 00:57:13,279
Speaker 3: The Wills man, I just.

1197
00:57:13,280 --> 00:57:15,759
Speaker 1: Don't think it's true, like period at all. Like I think,

1198
00:57:15,880 --> 00:57:18,400
Speaker 1: you know, his money was helpful, but what the oh,

1199
00:57:18,480 --> 00:57:21,800
Speaker 1: the Trump administration was hard up for money. Come on, like,

1200
00:57:21,880 --> 00:57:24,240
Speaker 1: get out of here, there's a billion dollar election. What

1201
00:57:24,360 --> 00:57:25,880
Speaker 1: you think the club for Growth or any of those

1202
00:57:25,880 --> 00:57:27,200
Speaker 1: other people are going to be able to fund and

1203
00:57:27,240 --> 00:57:29,400
Speaker 1: get out the vote operation. If anything you get out

1204
00:57:29,400 --> 00:57:32,080
Speaker 1: of the operation was shitty by all accounts for all

1205
00:57:32,120 --> 00:57:34,120
Speaker 1: that did cover. Yeah, we covered it at the time.

1206
00:57:34,200 --> 00:57:36,000
Speaker 1: I mean I talked to people who were involved. They said,

1207
00:57:36,040 --> 00:57:38,080
Speaker 1: this is a shit show and it's a mess. I mean,

1208
00:57:38,160 --> 00:57:40,360
Speaker 1: Donald Trump won the election because of Donald Trump and

1209
00:57:40,400 --> 00:57:43,000
Speaker 1: because of Kamala Harris Elon and all that. I mean,

1210
00:57:43,320 --> 00:57:46,960
Speaker 1: was it helpful at a very high level narrative, you know,

1211
00:57:47,120 --> 00:57:50,160
Speaker 1: to have Twitter bought? Yeah, I mean probably Twitter.

1212
00:57:50,520 --> 00:57:54,760
Speaker 2: The Twitter piece I think was very important, but I would.

1213
00:57:54,840 --> 00:57:58,120
Speaker 1: I wouldn't call it election swinging. It was more so

1214
00:57:58,240 --> 00:57:59,919
Speaker 1: hard to say nobody really knows.

1215
00:58:00,000 --> 00:58:01,680
Speaker 2: I mean when you think about like the vibe shift

1216
00:58:01,720 --> 00:58:04,520
Speaker 2: and like that, and having all the tech guys like

1217
00:58:04,680 --> 00:58:06,960
Speaker 2: all in on it, and I didn't mean to like

1218
00:58:07,440 --> 00:58:10,080
Speaker 2: they were all in and also specifically talking about the

1219
00:58:10,080 --> 00:58:10,760
Speaker 2: all in pime.

1220
00:58:10,720 --> 00:58:12,440
Speaker 1: By the way, are silent and our cowards. And I

1221
00:58:12,480 --> 00:58:15,520
Speaker 1: say this as a person who considers David Sachs as

1222
00:58:15,560 --> 00:58:19,560
Speaker 1: a friend. Cham Off, David Jason, speak up. You guys

1223
00:58:19,640 --> 00:58:22,200
Speaker 1: wanted this. Yeah, okay, I've met you. All's going you

1224
00:58:22,240 --> 00:58:24,480
Speaker 1: guys wanted to be in politics, you have to show up.

1225
00:58:24,760 --> 00:58:26,400
Speaker 1: You know, yes, I've been on parental leave. But you

1226
00:58:26,440 --> 00:58:28,240
Speaker 1: guys don't have an excuse. You have to show up,

1227
00:58:28,280 --> 00:58:29,760
Speaker 1: and you have to talk about all the shit, even

1228
00:58:29,800 --> 00:58:31,880
Speaker 1: the bad stuff, even when it makes you look bad.

1229
00:58:31,880 --> 00:58:34,880
Speaker 1: So you wanted this, okay, you wanted to be major

1230
00:58:35,000 --> 00:58:38,000
Speaker 1: political commentators. Show the fuck up? Where are you? Your

1231
00:58:38,120 --> 00:58:40,600
Speaker 1: silence is deafening. But you know, only David gets an

1232
00:58:40,600 --> 00:58:42,560
Speaker 1: excuse because he works in the government. Everybody else makes

1233
00:58:42,600 --> 00:58:46,000
Speaker 1: him speak up. Chamoth is literally tweeting about his dick

1234
00:58:46,080 --> 00:58:48,080
Speaker 1: size and he doesn't have anything to say about you.

1235
00:58:48,600 --> 00:58:51,360
Speaker 3: All right, I'm just saying commentary, right, he called himself

1236
00:58:51,360 --> 00:58:51,960
Speaker 3: an anaconda.

1237
00:58:52,120 --> 00:58:54,080
Speaker 1: Who by the way, if you have a billion dollars,

1238
00:58:54,320 --> 00:58:56,280
Speaker 1: what a fucking loser. I'll talk about this.

1239
00:58:56,320 --> 00:58:58,680
Speaker 3: Also, if you are saying things like that publicly, it

1240
00:58:58,800 --> 00:58:59,320
Speaker 3: really makes me.

1241
00:58:59,400 --> 00:59:03,120
Speaker 1: Questions just saying yeah, yeah, So.

1242
00:59:03,440 --> 00:59:04,520
Speaker 3: There's all of that.

1243
00:59:04,720 --> 00:59:07,760
Speaker 2: I mean, I think so this gets to who has

1244
00:59:07,920 --> 00:59:10,280
Speaker 2: the power now in this Dynane, who's going to quote

1245
00:59:10,320 --> 00:59:13,040
Speaker 2: unquote win And look, obviously Trump is president.

1246
00:59:12,720 --> 00:59:15,280
Speaker 3: Of the United States. He's a million times more charismatic

1247
00:59:15,360 --> 00:59:17,440
Speaker 3: than Elon. The people around him, you know.

1248
00:59:17,520 --> 00:59:19,640
Speaker 2: I mean they have like a love hate relationship with him,

1249
00:59:19,680 --> 00:59:22,920
Speaker 2: but he inspires respect. Elon inspires like disgusted and hatred

1250
00:59:22,960 --> 00:59:24,880
Speaker 2: apparently over time as people spend.

1251
00:59:24,720 --> 00:59:25,400
Speaker 3: Time around him.

1252
00:59:26,120 --> 00:59:29,640
Speaker 2: And so obviously Trump has more cards to play. I

1253
00:59:29,680 --> 00:59:33,360
Speaker 2: will say, though, I am surprised at how meekly Trump

1254
00:59:33,520 --> 00:59:38,800
Speaker 2: has responded like it is. It has been very rhetorically,

1255
00:59:39,040 --> 00:59:42,040
Speaker 2: it has been very meek. Now he's threatening all of

1256
00:59:42,120 --> 00:59:45,520
Speaker 2: Elon's contracts this. Elon tweeted this out though, which I

1257
00:59:45,560 --> 00:59:48,360
Speaker 2: think is also noteworthy, said, whatever happens, we've got the

1258
00:59:48,440 --> 00:59:51,600
Speaker 2: spaceships and they do not, which you know.

1259
00:59:52,080 --> 00:59:53,400
Speaker 3: He's pointing to the fact that.

1260
00:59:55,040 --> 00:59:57,040
Speaker 2: NASA and the space from really is kind of fucked

1261
00:59:57,080 --> 01:00:00,640
Speaker 2: without SpaceX because and this is a trend that started

1262
01:00:00,920 --> 01:00:04,280
Speaker 2: Barack Obama is really the one that pushed towards SpaceX

1263
01:00:04,360 --> 01:00:07,520
Speaker 2: and towards privatizing so much of the space program. I

1264
01:00:07,560 --> 01:00:09,640
Speaker 2: would say this is case in point of why it's

1265
01:00:09,720 --> 01:00:12,880
Speaker 2: so devastating to rely on like a single oligarch or

1266
01:00:12,920 --> 01:00:17,600
Speaker 2: a handful of oligarchs for things that are essential government capacity.

1267
01:00:18,480 --> 01:00:22,480
Speaker 2: And so he's holding that over Trump's head. And I mean,

1268
01:00:22,680 --> 01:00:24,960
Speaker 2: who knows what sort of data he has. There may

1269
01:00:25,000 --> 01:00:27,840
Speaker 2: be pieces that we aren't aware of cards that Elon

1270
01:00:27,920 --> 01:00:31,560
Speaker 2: can play. The other two parts that are obvious are

1271
01:00:31,840 --> 01:00:35,560
Speaker 2: Starlink is really critical for you know, this critical communications

1272
01:00:35,680 --> 01:00:38,160
Speaker 2: infrastructure that Elon has control over.

1273
01:00:38,680 --> 01:00:40,680
Speaker 3: And the other one is Twitter.

1274
01:00:41,200 --> 01:00:47,000
Speaker 2: Twitter has become the backbone of the conservative movement, conservative discourse.

1275
01:00:47,120 --> 01:00:50,480
Speaker 2: I mean it really has become extremely central, and so

1276
01:00:50,640 --> 01:00:53,200
Speaker 2: the fact he has control over that is another, you know,

1277
01:00:53,440 --> 01:00:55,520
Speaker 2: errow in his quiver and could be part of why

1278
01:00:56,200 --> 01:01:00,360
Speaker 2: Trump is not going nuclear in the way that has.

1279
01:01:00,360 --> 01:01:03,000
Speaker 2: I mean again, think about it. Elon said, your terror

1280
01:01:03,080 --> 01:01:04,480
Speaker 2: suck and they're going to cause a recession.

1281
01:01:04,920 --> 01:01:08,280
Speaker 3: You're a pedo. I you did not even win the election.

1282
01:01:08,520 --> 01:01:09,440
Speaker 1: I want it for you.

1283
01:01:10,360 --> 01:01:12,600
Speaker 3: And al Trump has to say is like, oh, I'm sorry,

1284
01:01:12,640 --> 01:01:13,520
Speaker 3: he's so heartbroken.

1285
01:01:13,640 --> 01:01:15,320
Speaker 1: Yeah, I could read it that way. I also could

1286
01:01:15,360 --> 01:01:17,200
Speaker 1: read it as like it's humiliating, you know what I

1287
01:01:17,280 --> 01:01:19,880
Speaker 1: mean one of my best friends or most politically aligned

1288
01:01:19,920 --> 01:01:21,960
Speaker 1: person was like openly shitting on it.

1289
01:01:22,000 --> 01:01:24,800
Speaker 2: You'd just be like, yeah, I want to be humiliated.

1290
01:01:24,840 --> 01:01:26,560
Speaker 2: Like doesn't not a shameless I do not want to

1291
01:01:26,600 --> 01:01:27,280
Speaker 2: be humiliating.

1292
01:01:27,320 --> 01:01:30,160
Speaker 1: I truly, I truly have no idea what goes on

1293
01:01:30,280 --> 01:01:33,000
Speaker 1: into it. I do think. Look, this was brewing at

1294
01:01:33,080 --> 01:01:36,080
Speaker 1: a metal level inside of the White House now for

1295
01:01:36,240 --> 01:01:39,120
Speaker 1: some time, can we go ahead and put B five

1296
01:01:39,240 --> 01:01:42,320
Speaker 1: plead up on the screen. People have predicted some grand

1297
01:01:42,600 --> 01:01:46,760
Speaker 1: you know, reconciliation between the two. I just wish him well. Likewise,

1298
01:01:46,880 --> 01:01:49,680
Speaker 1: Elon says, after apparently trying to get Elon on the

1299
01:01:49,760 --> 01:01:53,640
Speaker 1: phone multiple times and has or sorry Trump on the

1300
01:01:53,680 --> 01:01:56,440
Speaker 1: phone multiple times and Trump has refused to take his call.

1301
01:01:56,600 --> 01:02:00,360
Speaker 1: I've I mean, the relationship already lasted so much longer

1302
01:02:00,400 --> 01:02:02,760
Speaker 1: than I thought that I just don't really even want

1303
01:02:02,840 --> 01:02:06,680
Speaker 1: to like speculate. I think, really what's been embarrassing is

1304
01:02:06,920 --> 01:02:09,920
Speaker 1: the fact that Maga, cat Turd and all these other

1305
01:02:09,960 --> 01:02:14,360
Speaker 1: people caped for Elon so hard, only to then have

1306
01:02:14,600 --> 01:02:17,120
Speaker 1: to turn on him at this point. It makes you

1307
01:02:17,320 --> 01:02:20,240
Speaker 1: look very foolish. I mean, the point is is with

1308
01:02:20,560 --> 01:02:24,160
Speaker 1: Elon is like Elon is. I mean, Elon was always

1309
01:02:24,200 --> 01:02:28,880
Speaker 1: kind of this independent sphere, very obviously trying to use

1310
01:02:29,160 --> 01:02:31,960
Speaker 1: his influence both to benefit himself but also like a

1311
01:02:32,040 --> 01:02:35,880
Speaker 1: broader technology aligned thing. And let's be honest, it is complicated,

1312
01:02:36,040 --> 01:02:38,680
Speaker 1: like between Elon and Sam Altman. Like I'm with Elon

1313
01:02:38,760 --> 01:02:40,800
Speaker 1: on that one, right, I mean, I'm not pro Sam

1314
01:02:40,880 --> 01:02:46,320
Speaker 1: Altman on some open ai insane takeover, and broadly with

1315
01:02:46,560 --> 01:02:50,440
Speaker 1: the project, what we really see here is this is

1316
01:02:50,480 --> 01:02:53,880
Speaker 1: a classic Trumpian style story where when someone and actually

1317
01:02:53,920 --> 01:02:56,320
Speaker 1: a right wing story, when somebody, no matter who they

1318
01:02:56,320 --> 01:02:59,000
Speaker 1: are and all their foibles, when they're with you, they

1319
01:02:59,120 --> 01:03:02,840
Speaker 1: go all in, You're a god, and we're buying Tesla's

1320
01:03:02,880 --> 01:03:04,960
Speaker 1: and cyber trucks, and then when they turn against you,

1321
01:03:05,280 --> 01:03:08,120
Speaker 1: it's like I heard it, he knew. The guy deported

1322
01:03:08,160 --> 01:03:10,000
Speaker 1: and it's like, how about maybe it's like, thank you

1323
01:03:10,280 --> 01:03:13,200
Speaker 1: for supporting us. You know, we're flying without you. It's

1324
01:03:13,280 --> 01:03:15,840
Speaker 1: really nice for you to be here with us. But

1325
01:03:16,360 --> 01:03:18,680
Speaker 1: you know, it's like we have an independent project. And

1326
01:03:19,200 --> 01:03:20,920
Speaker 1: some of the smart ones have always seen that, you know.

1327
01:03:20,960 --> 01:03:23,680
Speaker 1: That's why I've always respect to see Bannon. There's been

1328
01:03:23,760 --> 01:03:26,919
Speaker 1: some smart ones out there as well who were always like, yeah,

1329
01:03:27,200 --> 01:03:29,360
Speaker 1: you know this, this is the problem. We can see

1330
01:03:29,520 --> 01:03:32,160
Speaker 1: this coming from a mile away. But you know, there

1331
01:03:32,240 --> 01:03:35,240
Speaker 1: are a number of just like impressionable kind of right

1332
01:03:35,280 --> 01:03:38,200
Speaker 1: wing guys I would say, who really got taken in

1333
01:03:38,600 --> 01:03:40,640
Speaker 1: by a lot of this project, And I think, look, really,

1334
01:03:41,120 --> 01:03:42,480
Speaker 1: and it goes all way up to the top yeah.

1335
01:03:42,480 --> 01:03:46,240
Speaker 2: I mean that's like I think Trump fell into this idea,

1336
01:03:46,280 --> 01:03:48,360
Speaker 2: Oh he's a genius and he's a great man. Like

1337
01:03:48,400 --> 01:03:50,360
Speaker 2: I think he got pulled into some of that as well,

1338
01:03:50,440 --> 01:03:52,280
Speaker 2: which is part of why he let him go as

1339
01:03:52,360 --> 01:03:54,240
Speaker 2: far as he did. I mean, the stuff was unhinged,

1340
01:03:54,280 --> 01:03:57,600
Speaker 2: like being on the stage with a chainsaw, gleefully firing people,

1341
01:03:58,000 --> 01:04:02,320
Speaker 2: destroying all of these agencies you know in wild violational law.

1342
01:04:02,360 --> 01:04:02,800
Speaker 3: There's all this.

1343
01:04:02,840 --> 01:04:05,000
Speaker 2: Reporting now that you know, Susie Wilds, and these people

1344
01:04:05,000 --> 01:04:06,760
Speaker 2: are like, what are you doing? Like they did not

1345
01:04:06,960 --> 01:04:09,960
Speaker 2: know in advance what he was doing and probably still

1346
01:04:10,000 --> 01:04:12,280
Speaker 2: don't know exactly what's going on. And that is one

1347
01:04:12,360 --> 01:04:14,240
Speaker 2: other thing that he's got is these doge kids are

1348
01:04:14,240 --> 01:04:18,160
Speaker 2: still who are more loyal to him, are still populated,

1349
01:04:19,200 --> 01:04:23,600
Speaker 2: these Asian they should be of course, yes, yeah, they

1350
01:04:23,800 --> 01:04:25,040
Speaker 2: absolutely should be out of it.

1351
01:04:25,320 --> 01:04:27,000
Speaker 3: No business being in there in the first place.

1352
01:04:27,440 --> 01:04:29,920
Speaker 2: So you know, last thing I'll say is there was

1353
01:04:30,400 --> 01:04:32,760
Speaker 2: we started with Trump saying, oh, they'll be serious consequences

1354
01:04:32,800 --> 01:04:35,520
Speaker 2: if Elon starts funding Democrats. You know I think that

1355
01:04:35,760 --> 01:04:38,919
Speaker 2: I think, first of all, no Democrats should be taking

1356
01:04:38,920 --> 01:04:41,200
Speaker 2: this guy's money, Like, why did you see how this

1357
01:04:41,280 --> 01:04:43,280
Speaker 2: went for Republic. Do you think this went well for them? Like,

1358
01:04:43,440 --> 01:04:46,720
Speaker 2: just even on a basic tactical practical level, you think

1359
01:04:46,760 --> 01:04:49,200
Speaker 2: this went well. Second of all, if you're going to

1360
01:04:49,200 --> 01:04:51,600
Speaker 2: be a real party that does anything real, you have

1361
01:04:51,720 --> 01:04:54,320
Speaker 2: to be oppositional to these oligarchs. You have to be

1362
01:04:54,400 --> 01:04:57,960
Speaker 2: oppositional to Elon. And so I think it will be

1363
01:04:58,360 --> 01:05:02,000
Speaker 2: a badge of shame for any Democrat who takes money

1364
01:05:02,240 --> 01:05:04,480
Speaker 2: from Elon Musk and I do not. I think the

1365
01:05:04,560 --> 01:05:07,680
Speaker 2: base will be thoroughly disgusted with that because to your point, zccer,

1366
01:05:07,720 --> 01:05:11,720
Speaker 2: I mean, he did make himself such a toxic, horrifying

1367
01:05:11,800 --> 01:05:14,600
Speaker 2: and galvanizing figure in the early days of the Trump

1368
01:05:14,640 --> 01:05:17,640
Speaker 2: administration with this Roman salute and all the rest, and

1369
01:05:17,840 --> 01:05:20,720
Speaker 2: so the Democrat is not going to forget that. And

1370
01:05:20,920 --> 01:05:22,920
Speaker 2: so if you're a Democratic politician who thinks you're going

1371
01:05:23,000 --> 01:05:24,760
Speaker 2: to take some money from Elon and nobody's going to

1372
01:05:24,800 --> 01:05:26,360
Speaker 2: have anything to say about it, I think you are

1373
01:05:26,440 --> 01:05:27,439
Speaker 2: dead wrong on that front.

1374
01:05:27,520 --> 01:05:29,880
Speaker 1: Yeah, I definitely agree with that.