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Speaker 1: Cable news is ripping us apart, dividing the nation, making

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Speaker 1: it impossible to function as a society and to know

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Speaker 1: what is true and what is false. The good news

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Speaker 1: is that they're failing and they know it. That is

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Speaker 1: member today at breakingpoints dot com. Your hard earned money

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Speaker 1: the upcoming presidential election so we can provide unparalleled coverage

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Speaker 1: of what is sure to be one of the most

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Speaker 1: pivotal moments in American history. So what are you waiting for?

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Speaker 1: Go to Breakingpoints dot com to help us out. Hello, everybody,

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Speaker 1: Welcome to the show. It is Wednesday, special schedule. Obviously,

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Speaker 1: can't really give you a cheery opening because we've just

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Speaker 1: got such a tragic event happening in Uvalde, Texas. So

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Speaker 1: obviously we went ahead and scrapped the gas segment just

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Speaker 1: to make sure that we had as much time to

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Speaker 1: go over everything as possible. But that's what we have today, Crystal. Yeah,

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Speaker 1: that's what we're going to start with. Of course, we're

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Speaker 1: also going to cover the primary results, SOSS some big

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Speaker 1: news there, some big news on housing, on Trump, but

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Speaker 1: we do want to start with the horrific mass shooting

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Speaker 1: in Uvalde, Texas elementary school. What we know is that

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Speaker 1: nineteen children at least were murdered in cold blood, along

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Speaker 1: with two of their teachers. Others are wounded as well.

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Speaker 1: We heard from Governor Abbott yesterday about what we know

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Speaker 1: thus far. Let's go ahead and take a listen. The

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Speaker 1: shooter was Salvador Romas, an eighteen year old male who

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Speaker 1: resided in Uvalde. It's believed that he been in his

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Speaker 1: vehicle and entered into the rob Elementary School in Uvalley

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Speaker 1: with a handgun, and he may have also had a rifle,

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Speaker 1: but that is not yet confirmed. According to my most

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Speaker 1: recent report, he shot and killed horrifically incomprehensively fourteen students

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Speaker 1: and killed a teacher. Mister Romas, the shooter is he

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Speaker 1: himself is deceased and is believed that responding officers killed him.

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Speaker 1: So here's what we know thus far, and I do

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Speaker 1: want to warn everybody first of all, obviously this is

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Speaker 1: extraordinarily horrific event, so those sensitivities always are to be

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Speaker 1: considered but also, as I've covered a lot of these

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Speaker 1: mass shooting events, the details, as we learn moar, can

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Speaker 1: always shift. So just take the reports that are coming

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Speaker 1: out right now, immediately in the wake of those events

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Speaker 1: with a grain of salt. Already we have seen some

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Speaker 1: key details, including the number killed and including the type

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Speaker 1: of guns used. The response from law enforcement on the

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Speaker 1: scene have been moving and shifting, so I just want

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Speaker 1: to put all of that out there. Go ahead and

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Speaker 1: put this first tweet up on the screen. So what

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Speaker 1: we know about the shooter is that he apparently on

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Speaker 1: his eighteenth birthday or the day after, went out and

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Speaker 1: bought a assault rifle. The very first person that he

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Speaker 1: shot was his grandmother. Now this tweet says that his

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Speaker 1: grandmother was killed. The reporting I saw is that she

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Speaker 1: is in the hospital. She was wounded, but she is

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Speaker 1: still alive at least at this point. So that is

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Speaker 1: the reporting we know then, And let's go ahead and

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Speaker 1: put this next piece up on the screen from the

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Speaker 1: Daily Mail. Then he drives near to this elementary school,

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Speaker 1: crashes his truck. We saw pictures of the truck sort

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Speaker 1: of crashed into a ditch. The reporting says that law

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Speaker 1: enforcement was engaging him at that point, you know, shooting

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Speaker 1: probably between both this murder and law enforcement. He goes

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Speaker 1: into the school and goes room to room and starts

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Speaker 1: shooting children before ultimately being taken out. In advance of

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Speaker 1: the killing, some of his social media presence has come out.

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Speaker 1: His Instagram profile in particular, featured pictures of him with

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Speaker 1: assault rifles, also other pictures of guns that he apparently

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Speaker 1: had just purchased. On his eighteenth birthday. One of those,

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Speaker 1: and this is bizarre, he had tagged a sort of

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Speaker 1: random woman on Instagram who apparently he had some tangential

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Speaker 1: connection to, and he wrote her a message that said,

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Speaker 1: I got a little secret I want to tell you.

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Speaker 1: Be grateful I tagged you, to which she replied, no,

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Speaker 1: it's just scary, adding I barely know you and you

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Speaker 1: tag me in a picture with some guns. So that

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Speaker 1: is what we know at this point. And of course,

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Speaker 1: this is the deadliest mass school shooting since Sandy Hook

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Speaker 1: and you know, the nation once again is shocked in

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Speaker 1: an absolute grief, coming so shortly too on the heels

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Speaker 1: of that horrific shooting we just covered in Buffalo from

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Speaker 1: a racist killer there soccer. Yeah, I mean some of

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Speaker 1: the details here. Like you said, it's very unclear. So

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Speaker 1: we already showed you that video of Governor Abbott saying

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Speaker 1: that a handgun was used. That no longer appears to

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Speaker 1: be the case. He appears to be too legally purchased

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Speaker 1: firearms from a licensed dealer on his eighteenth birthday. Now

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Speaker 1: again too, in terms of what happened in the initial moments,

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Speaker 1: I think there needs to be a lot of scrutiny

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Speaker 1: on this. Indeed, current Texas Department Public of Safety says

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Speaker 1: that and this was on CNN last night, said that

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Speaker 1: the shooter shot his way passed the school district police officer,

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Speaker 1: and then two additional cops from local PD who appeared

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Speaker 1: to be on the scene. So what they're saying is

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Speaker 1: that there were three officers there who had engaged in

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Speaker 1: before he even got into the school. Now, obviously his

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Speaker 1: body armour on, but we don't know what the status

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Speaker 1: of those three officers are. I have a lot of

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Speaker 1: questions about what exactly went on down there. And then

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Speaker 1: even frankly, Crystal, the circumstances of the killing of mister

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Speaker 1: Ramos are also unclear. So the initial reports I saw

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Speaker 1: was that a border patrol tactical agent who appeared to

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Speaker 1: be in the city, who was off duty, rushed in

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Speaker 1: there with no backup, and is the guy who killed

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Speaker 1: him while there were also other cops on the scene.

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Speaker 1: So there needs to be quite a bit of scrutiny

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Speaker 1: here on the law enforcement response and what exactly happened here.

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Speaker 1: Like you said, and we were talking earlier, like you

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Speaker 1: have three cops, I don't know what's going on terms

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Speaker 1: with the shootout. We cannot second get reserve judgment. Yeah,

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Speaker 1: but you do have to look at this and just go,

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Speaker 1: how the hell did this guy get into it? Well,

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Speaker 1: I think about what happened at Parkland and the Broward

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Speaker 1: County Sheriff's office, and then that guy who clearly, you know,

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Speaker 1: was I'm not, you know, disparaging these people's character. I

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Speaker 1: have no idea currently yet what happened, but that is

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Speaker 1: where a bulk of my attentions. Also on the shows media.

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Speaker 1: I mean, apparently the grandma is alive. We should have

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Speaker 1: a lot of questions for this woman if she is

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Speaker 1: the one who he was living with, and clearly was

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Speaker 1: a disturbed guy. I mean in terms of what he

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Speaker 1: was posting on social media. A lot of the reports

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Speaker 1: out there saying that he was bullied for wearing eyeliner

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Speaker 1: and for having a lisp. I mean, you know, these

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Speaker 1: are like kind of classic eighteen year old problems, I

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Speaker 1: guess in high school. But it's obvious that, given his

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Speaker 1: social media presence and others, these things don't happen in

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Speaker 1: a vacuum, and there are probably people around him, of

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Speaker 1: which I also have quite a bit of questions in

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Speaker 1: terms of this investigation all unfolds, and obviously this is

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Speaker 1: ignited a massive conversation in the country around gun control

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Speaker 1: once again, and I do think we owe it to

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Speaker 1: America to really give people the facts here, which is

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Speaker 1: that Salvador Ramos was an eighteen year old American citizen. He,

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Speaker 1: per the law of the land, was able to go

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Speaker 1: and to purchase these two firearms legally, that is the case.

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Speaker 1: In terms of fixing that, it's a difficult problem to

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Speaker 1: fix because and we were talking about this in terms

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Speaker 1: of look, you can think whatever you want about the

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Speaker 1: Second Amendment, but at least under the current Supreme Court,

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Speaker 1: we have a constitutional right in order to buyer to

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Speaker 1: have a gun, and personally, I think that that is

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Speaker 1: the correct interpretation. But also you know we were talking earlier.

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Speaker 1: The current initial response from a lot of celebrities is

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Speaker 1: we need to pass HR eight and have universal background check.

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Speaker 1: I think universal background check is great. I have absolutely

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Speaker 1: nothing against it. But to explain to people universal background check,

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Speaker 1: Salvador Ramos did pass a background check. So the background

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Speaker 1: check system for universal background check is simply to apply

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Speaker 1: in the private gun market, for private gun sales. Right,

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Speaker 1: So hright would not have stopped this shooting. Now, let's

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Speaker 1: also talk about assault weapons bans. And this is again

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Speaker 1: a very tricky subject, but we did band assault weapons

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Speaker 1: in this country in nineteen ninety four. The Brady Bill

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Speaker 1: Well the Columbine shooting took place in nineteen ninety nine

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Speaker 1: while the assault weapons ban was in effect. And I

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Speaker 1: don't want to argue about policy, right, I just think

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Speaker 1: we should owe it to people to be like, what's

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Speaker 1: on the table here, here's what happened, Here's what I

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Speaker 1: will say. And I would say that my views on

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Speaker 1: guns have somewhat evolved over the course of you know,

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Speaker 1: me being super engaged in politics. I don't think there

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Speaker 1: is any denying just the bare facts that America has

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Speaker 1: more guns per capita than any country on the planet. Yes,

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Speaker 1: I think four hundred we have. That's right. We have

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Speaker 1: more guns than we have people. That is wildly outside

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Speaker 1: of the norm, and it is not an accident that

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Speaker 1: we also have more gun deaths for people. This idea

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Speaker 1: from the right that oh, we just need more good

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Speaker 1: guys with guns is dramatically disproved by this situation, but

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Speaker 1: also just on its face, if that was the case,

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Speaker 1: we would have no gun violence because we already have

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Speaker 1: more guns circulating in the population. Now. I think the

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Speaker 1: honest case in favor of lacks gun laws is effectively, listen,

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Speaker 1: this is important to our culture. This is part of

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Speaker 1: our way of life. This is something we consider a right,

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Speaker 1: and we are willing to accept the consequences of that.

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Speaker 1: I think that is the more honest position of the right,

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Speaker 1: because because this whole good guys with guns this is

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Speaker 1: complete nonsense. There are some basic gun control measures that

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Speaker 1: are almost universally supported, universal background checks being one of them.

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Speaker 1: Closing the gun shold show loophole is another one of them.

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Speaker 1: There are a few others that are sort of universally supported.

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Speaker 1: I think why this debate always crashes into the rocks

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Speaker 1: is for a few reasons. Number one, you have a

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Speaker 1: gun lobby that is very well financed and very well organized.

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Speaker 1: Number Two, you have a minority of the population that

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Speaker 1: is very strongly in favor of lacks gun laws, and

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Speaker 1: they are really the only constituency that votes solely based

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Speaker 1: on this issue, Okay, and they are overwhelmingly powerful in

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Speaker 1: Republican primary. So when you're talking about a state like

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Speaker 1: Texas that is still very much a red state, that

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Speaker 1: faction of voters ends up being extremely powerful. And then

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Speaker 1: the other piece of this though, that I think is

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Speaker 1: more difficult to be honest about, which is what you're

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Speaker 1: getting to, is that those measures that are on the

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Speaker 1: table in terms of being overwhelmingly politically popular and have

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Speaker 1: some bipartisan support, I think there's skepticism among the public

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Speaker 1: that they would really do that much in terms of

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Speaker 1: curbing these types of mass shooting events. Now Listen, I

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Speaker 1: believe universal background checks putting some of these barriers and

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Speaker 1: obstacles in place to make it more difficult to curb

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Speaker 1: the sort of casual acquisition of firearms. I think that

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Speaker 1: would likely have the most impact on the suicide rate,

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Speaker 1: on the amount of killing sy domestic violence. Those gun

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Speaker 1: dests also matter a lot. And so I don't want

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Speaker 1: to say, oh, it wouldn't matter whatsoever who cares. But

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Speaker 1: I think what you're pointing to, and this is something

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Speaker 1: that a friend Egor who runs an organization called Guns

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Speaker 1: Down and takes a more radical position here, is he

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Speaker 1: even would say from the left, you have to be

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Speaker 1: honest that if you're actually going to do anything about

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Speaker 1: this problem, you're going to have to take more extreme measures.

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Speaker 1: You're going to have to have like they did in Australia,

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Speaker 1: back programs where you're actually not just saying, Okay, we're

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Speaker 1: not going to sell any more of these types of weapons.

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Speaker 1: You're taking them out of circulation so that you are

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Speaker 1: actively decreasing the number of guns on the street. And

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Speaker 1: the political reality right now is that there is little

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Speaker 1: appetite for those types of more radical measures. And so

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Speaker 1: I think that's what happens is you have, on one hand,

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Speaker 1: you have a very organized and well financed and dedicated

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Speaker 1: political faction that says we don't want any of this,

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Speaker 1: And on the other hand, you have a broad public

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Speaker 1: that's interested in some reforms but is not as organized,

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Speaker 1: are not one issue voters and are not convinced that

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Speaker 1: these reforms alone would actually solve the problem that we're facing.

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Speaker 1: And at the same time, let's put this New York

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Speaker 1: Times tear sheet up on the screen. Here you have

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Speaker 1: the US buying, American citizens buying more guns than ever before.

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Speaker 1: US is in the middle of a gun buying boom

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Speaker 1: that shows no sign of letting up, as the annual

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Speaker 1: number of firearms manufactured has nearly tripled since the year

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Speaker 1: two thousand. We saw this escalate, in particular during the

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Speaker 1: pandemic years. I would say this goes hand in glove

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Speaker 1: with the fact that you have people who just simply,

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Speaker 1: I mean, this is a sign of societal breakdown. People

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Speaker 1: don't trust the government to keep them safe, they don't

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Speaker 1: trust institutions to keep them safe. They have fueled by

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Speaker 1: the media and by the worst people in the country,

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Speaker 1: this idea that your friend and your neighbor and the

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Speaker 1: people down the street are out to get you. So

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Speaker 1: you have basic societal social trusts breakdown. And when you

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Speaker 1: see that, you see things like the number of gun

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Speaker 1: purchases skyrocket. So that's the landscape. And all of this

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Speaker 1: happens with the backdrop of go ahead and put this

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Speaker 1: next piece up on the screen. The NRA is literally

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Speaker 1: holding their convention in Houston this Friday. At that event

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Speaker 1: will be Greg Abbott, Governor of Texas, who you saw

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Speaker 1: speak earlier, Ted Cruz, John Cornyn, Dan Crenshaw, and Donald Trump.

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Speaker 1: I do think it's disgusting the way that the NRA

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Speaker 1: and these politicians stand against even those basic reforms that,

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Speaker 1: while I agree with you, it is unlikely would have

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Speaker 1: stopped this killer, would at least help on the margins

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Speaker 1: to curb some of this gun violence. And you know,

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Speaker 1: it's going to be a disgusting affair to watch how

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Speaker 1: these politicians and how the NRA handles this when they

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Speaker 1: have taken such a radical, doctrinaire approach to this. That

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Speaker 1: is I have, you know, coming from a family, that

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Speaker 1: gun culture is a big thing that is wildly out

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Speaker 1: of step with where your average responsible gun owning American

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Speaker 1: actually is. Yeah, let me say this about the gun lobby,

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Speaker 1: which is that they are definitely powerful, but it's also

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Speaker 1: not nineteen ninety five anymore. I mean, we had Tim

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Speaker 1: Mack on our show talking about the decline and the

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Speaker 1: complete destruction really of the NRA as a major political force,

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Speaker 1: and I would just dispute that it's the gun lobby

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Speaker 1: that stands against major So the gun lobby is against

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Speaker 1: the universal background checks. But you know, Up pulled a

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Speaker 1: lot of the data this morning that we were both

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Speaker 1: looking at. A support for a handgun ban has never

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Speaker 1: been lower in modern American history than right now. In

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Speaker 1: nineteen sixty one, sixty percent of Americans supported it. In

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Speaker 1: twenty twenty one, it was nineteen percent. Now in the

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Speaker 1: last just two years, the twenty twenty one data said

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Speaker 1: that five million new people purchased a firearm just in

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Speaker 1: twenty twenty one. The estimate is that it's between five

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Speaker 1: to ten million between twenty twenty one and twenty twenty two.

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Speaker 1: Go to a gun shop, there's a line out the door,

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Speaker 1: and you know, I have I am very hard pressed

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Speaker 1: to say that that doesn't make a lot of sense.

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Speaker 1: I mean, David Shore, looking at the Pew Research data

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Speaker 1: just in gallup of twenty seventeen, where Democrats had a

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Speaker 1: plus eight identification, said that Republicans in America had a

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Speaker 1: plus four trust advantage whenever it came to guns. And

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Speaker 1: I think that the most salient point of which you

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Speaker 1: pointed to is that, look, we have rising crime rates,

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Speaker 1: we have broader social, societal trust. In the last two years,

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Speaker 1: our president literally tried to stay in office, you know,

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Speaker 1: and denied the election results, and also a bunch of

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Speaker 1: cities burned to the ground. I mean, I think that's

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Speaker 1: probably the best environment to not give up many of

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Speaker 1: your gun rights. Not to mention the COVID regime. I mean,

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Speaker 1: looked at what happened in Australia. Yeah, they had gun

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Speaker 1: buybacks and then they literally threw their citizens in camps

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Speaker 1: with very little civil rights recourse. I don't know that

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Speaker 1: those two things are related, but I think it's well,

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Speaker 1: it ain't gonna happen here for a reason, and I

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Speaker 1: think that that's an important thing. Thanks too. Well, yeah, again,

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Speaker 1: I think the bare facts of the like. Just to

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Speaker 1: make this really simple, there is no denying that the

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Speaker 1: US is an outlier in terms of the number of

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Speaker 1: guns we have, and that we are also an outlier

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Speaker 1: in terms of the amount of gun violence that we have.

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Speaker 1: Those things. There's just no denying that those two things

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Speaker 1: are correlated. The question is will the measures that are

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Speaker 1: on the table significantly curb that. I think that we

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Speaker 1: should have universal background checks. I think it's insane that

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Speaker 1: we don't. I think, you know, another thing that we've

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Speaker 1: talked about is the fact that some of these shooters,

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Speaker 1: there's no indication that this is the case with this

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Speaker 1: particular individual, although we don't know all the details yet,

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Speaker 1: should have been flagged when they went through their background

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Speaker 1: check in the process. But the databases we're not update.

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Speaker 1: Virginia Tech, the Virginia Tech murder, same things should have

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Speaker 1: been flagged, should not have been able to purchase get so,

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Speaker 1: you know, updating this system, closing the gun show loophole

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Speaker 1: that you know allows you to purchase them in private

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Speaker 1: sales with no background check whatsoever. Those sorts of things,

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Speaker 1: I don't have any doubt that they will help on

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Speaker 1: the margin. But to your point, there is more going

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Speaker 1: on here than just the fact that we have this

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Speaker 1: overwhelming number of gun circulating in our society. You have

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Speaker 1: a deep societal breakdown, a true sickness in our society

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Speaker 1: that has caused us to live in fear, some of

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Speaker 1: it justified, some of it completely ginned up by the media.

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Speaker 1: Caused us to hate each other, cause us to you know,

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Speaker 1: fear our neighbor and our cousin and our uncle, and

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Speaker 1: think that those people are the ones who are out

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Speaker 1: to get you. And you know, until we deal with

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Speaker 1: those deeper issues, it's background checks ain't going to fix it.

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Speaker 1: I guess that's what I will say. I think that's

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Speaker 1: and I think we all have to be honest about that.

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Speaker 1: And I'll be honest about this too. I support gun rights.

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Speaker 1: And here's the thing. We live in probably the freest

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Speaker 1: western country on earth, and when you do that, there

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Speaker 1: are significant consequences. And I know that sounds incredibly callous.

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Speaker 1: And I look, you know, I'm glad Salvador Ramos is dead.

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Speaker 1: I wish he'd been alive so we could have killed

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Speaker 1: him in Texas. That being said, I mean, look, this

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Speaker 1: is the consequence of living in a society where we

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Speaker 1: have four hundred million guns. And I think the people

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Speaker 1: who are pro gun should also say that. I should

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Speaker 1: also say on the NRA, I resigned my NRA membership

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Speaker 1: in twenty sixteen whenever they did not defend Filando Castile

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Speaker 1: because I was really pissed off about that because he

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Speaker 1: was a legal gun owner and he was shot by

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Speaker 1: a cop even though he didn't do anything wrong whatsoever. Yeah,

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Speaker 1: and I'm still very upset about that. So you know,

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Speaker 1: they have their own problems and I'm never going to

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Speaker 1: support them after they didn't speak out for him. So

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Speaker 1: I think we should all be clear that the people

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Speaker 1: who support purport to support all of our points of

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Speaker 1: view are full of it. And sadly though, I do

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Speaker 1: think the country is headed once again back into the

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Speaker 1: melee where I don't think there is a lot of

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Speaker 1: honesty up here. At least you're going to see it

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Speaker 1: from the political conversation. And this is sadly, you know,

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Speaker 1: this is what the President decided to go with in

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Speaker 1: his immediate reaction. Let's take a listening. Why are we

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Speaker 1: willing to live with this carnage? Why don't we keep

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Speaker 1: letting this happen? Where in God's name is our backbone

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Speaker 1: of the courage to deal with and stand up to

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Speaker 1: the lobbies. It's time to turn this pain into action

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Speaker 1: for every parent, for every citizen this country. We have

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Speaker 1: to make it clear to every elected fish inist country

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Speaker 1: it's time to add. I mean, I don't have any

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Speaker 1: issue with what he's saying there. He did not lay

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Speaker 1: out specific action items, but like the Mansion to Me legislation,

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Speaker 1: for example, totally popular, supported by a broad swath of Americans,

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Speaker 1: and just because you can't solve every mass shooter issue,

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Speaker 1: doesn't mean you should shouldn't at least try to do

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Speaker 1: things to save some lives on the margins here, So

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Speaker 1: you know, President Biden there channeling the anger and the

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Speaker 1: grief that I think the nation is feeling, and that

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Speaker 1: has uh, you know that we've had to live through far,

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Speaker 1: far too many times and looking around the world and saying,

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Speaker 1: why are we the only nation that routinely suffers through

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Speaker 1: these horrible killings, these horrible shootings at schools where you

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Speaker 1: know you can't as a parent send your kid to

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Speaker 1: say to school and feel like they're going to be

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Speaker 1: that their safety is going to be provided for. That's horrible. Look,

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Speaker 1: I I agree with you, and look, I mean even

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Speaker 1: on the margins, I would certainly support it. But I'll

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Speaker 1: just explain, which is that we live in this zero

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Speaker 1: trust society. I mean, given what we've all been through

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Speaker 1: over the last couple of years, I have no idea

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Speaker 1: how you could want to give the government more of

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Speaker 1: an ability in order to infringe upon your ability to

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Speaker 1: protect yourself, especially after the last you know, given the

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Speaker 1: political environment and what happened in twenty twenty. So given that,

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Speaker 1: I mean I just don't think that there's an organic

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Speaker 1: This is what I mean about the lobby. There are

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Speaker 1: literally ten million or more Americans roughly in the last

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Speaker 1: two years who thought that they were going to have

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Speaker 1: to kill somebody. That's why you buy a gun. I mean,

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Speaker 1: let's be honest, right, okay, But here's why the lobby matters.

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Speaker 1: And I've seen how this works in West Virginia and

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Speaker 1: Virginia and rural America. So even the NRA's own membership

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Speaker 1: does not overwhelmingly support their point of view in terms

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Speaker 1: of their extremism with regard to no even a universal

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Speaker 1: background checks, no even a closing the gun shot boothole.

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Speaker 1: Their own membershi does not back those positions. But what

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Speaker 1: they do is they you know, they rate politicians, They

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Speaker 1: give them a grade. And so then for voters who

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Speaker 1: care about who are in the Seconmendment into gun rights,

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Speaker 1: they send out little postcards that say this one's with

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Speaker 1: us and this one's against us, without getting into those

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Speaker 1: details of like, oh well, this one's actually what they're

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Speaker 1: against is a background check, which you actually support. And

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Speaker 1: so that's how they've been able to wield disproportionate power,

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Speaker 1: particularly in Republican primaries. That's how you end up with

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Speaker 1: a situation where even though something like universal background checks

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Speaker 1: is literally supported by like ninety percent of the population,

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Speaker 1: it doesn't ultimately happen because they are able to so

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Speaker 1: thoroughly control and dominate on that issue. And you can

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Speaker 1: see on the politics of it. I mean, Joe Manchin

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Speaker 1: is from probably the most gun friendly for gun state

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Speaker 1: in the country. I mean it's probably like West Virginia

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Speaker 1: and Texas, those are probably the two places. And he

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Speaker 1: didn't pay any price for not only signing on to,

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Speaker 1: but really leading the charge on this gun reform effort

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Speaker 1: in the wake of Sandy Hook. So the ner in

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Speaker 1: the extreme position, there's no doubt that is out of

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Speaker 1: step with where the American public is now. You do

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Speaker 1: have to balance out with the fact that, yeah, there

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Speaker 1: is a lot of fear, there is a lot of

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Speaker 1: social breakdown in trust that is leading more and more

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Speaker 1: Americans to just buy more and more guns. That has

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Speaker 1: led to, you know, continued stripping of any kind of

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Speaker 1: regulation these states. In twenty twenty one, Texas became the

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Speaker 1: biggest state in the country to let people carry handguns

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Speaker 1: in public without a license or any mandated training. Most people.

433
00:23:34,040 --> 00:23:36,480
Speaker 1: I think if you pull the country would say you

434
00:23:36,480 --> 00:23:39,760
Speaker 1: should probably at least have some training, like these are serious,

435
00:23:39,800 --> 00:23:43,280
Speaker 1: deadly weapons. And the gun owners that I know would

436
00:23:43,320 --> 00:23:45,480
Speaker 1: agree with the idea that this is not something to

437
00:23:45,520 --> 00:23:50,840
Speaker 1: be done casually or willy nilly whatsoever. But even those

438
00:23:51,440 --> 00:23:54,399
Speaker 1: very narrow basic reforms are put off the table. And

439
00:23:54,400 --> 00:23:56,520
Speaker 1: that's why I say that the lobby and the money

440
00:23:56,560 --> 00:23:59,879
Speaker 1: behind it is so important. And also you know they

441
00:23:59,920 --> 00:24:03,119
Speaker 1: have an interest in ginning up fears and making people

442
00:24:03,160 --> 00:24:07,480
Speaker 1: feel like their only answer is a firearm, and you

443
00:24:07,520 --> 00:24:10,160
Speaker 1: know that everybody's not to get them, and of course

444
00:24:10,200 --> 00:24:12,359
Speaker 1: they always play up like all the Democrats are going

445
00:24:12,440 --> 00:24:14,760
Speaker 1: to get your guns, which literally never happens. And we

446
00:24:14,840 --> 00:24:18,439
Speaker 1: haven't had any significant, significant gun legislation in this country

447
00:24:18,440 --> 00:24:21,720
Speaker 1: federally in years and years, so that's kind of where

448
00:24:21,720 --> 00:24:25,000
Speaker 1: we are. Yeah, no, it's god, it's a horrible situation, obviously,

449
00:24:25,119 --> 00:24:26,800
Speaker 1: and you know, top of mind is just going to

450
00:24:26,840 --> 00:24:31,640
Speaker 1: be the Uvaldi family, the kids who were actually killed. Yeah,

451
00:24:31,680 --> 00:24:33,440
Speaker 1: in all of this, and you know, the national debate

452
00:24:33,480 --> 00:24:36,119
Speaker 1: around this is very important. I do think that the

453
00:24:36,760 --> 00:24:38,960
Speaker 1: way that we talk about it is also important, which

454
00:24:38,960 --> 00:24:41,760
Speaker 1: is that what you're talking about and understanding it. I

455
00:24:41,840 --> 00:24:43,920
Speaker 1: just think, you know, we have to really understand here

456
00:24:43,960 --> 00:24:45,679
Speaker 1: where a lot of people are in their lack of

457
00:24:45,680 --> 00:24:48,680
Speaker 1: trust in all society, government, the media, institutions for something

458
00:24:48,720 --> 00:24:51,360
Speaker 1: that we delve into here every day. And I think

459
00:24:51,400 --> 00:24:54,000
Speaker 1: a landmark moment really was Beto being like, we're going

460
00:24:54,040 --> 00:24:55,919
Speaker 1: to take your AR fifteen. He's like, damn right, we

461
00:24:55,960 --> 00:24:58,040
Speaker 1: are going to take your AR fifteen. And you know,

462
00:24:58,080 --> 00:25:00,719
Speaker 1: in the immediate aftermath of the shooting, I saw an

463
00:25:00,760 --> 00:25:03,439
Speaker 1: immense amount of people like Igor who we talk to

464
00:25:03,520 --> 00:25:05,399
Speaker 1: on rising, who are like, look, we have to be

465
00:25:05,400 --> 00:25:07,000
Speaker 1: honest here. The only way to solve this is to

466
00:25:07,040 --> 00:25:09,840
Speaker 1: take away people's guns. And it's like, well, if you

467
00:25:09,960 --> 00:25:12,200
Speaker 1: think that, if you really think that, then you should

468
00:25:12,200 --> 00:25:14,920
Speaker 1: be honest about your intentions. That's what I always appreciate

469
00:25:14,960 --> 00:25:16,959
Speaker 1: it about him. I appreciated about him as well. But

470
00:25:17,000 --> 00:25:18,440
Speaker 1: you know, I don't think a lot of lawmakers and

471
00:25:18,440 --> 00:25:20,560
Speaker 1: people in the media who whenever they say common sense,

472
00:25:20,840 --> 00:25:23,640
Speaker 1: I think we all know exactly what they mean. And sadly,

473
00:25:24,000 --> 00:25:26,520
Speaker 1: you know, there is that leads to a lack of

474
00:25:26,560 --> 00:25:30,119
Speaker 1: honesty and extremity really on both sides. Because the extremity

475
00:25:30,119 --> 00:25:31,800
Speaker 1: I think of the NRA and of a lot of people,

476
00:25:31,800 --> 00:25:34,600
Speaker 1: including myself, who are highly skeptical of basically any gun

477
00:25:34,720 --> 00:25:36,359
Speaker 1: regular even on ghost guns. I look at it and

478
00:25:36,400 --> 00:25:38,399
Speaker 1: I'm like, yeah, I don't necessarily believe you. Whenever it

479
00:25:38,400 --> 00:25:41,360
Speaker 1: comes to the ATF and their so called justifications for

480
00:25:41,560 --> 00:25:43,240
Speaker 1: why we want to crack down on it, I think

481
00:25:43,240 --> 00:25:44,920
Speaker 1: a lot of it is about control, and a lot

482
00:25:44,920 --> 00:25:47,639
Speaker 1: of it smells of the agenda of we want to

483
00:25:47,640 --> 00:25:50,600
Speaker 1: come through and make sure that we always have the

484
00:25:50,640 --> 00:25:53,680
Speaker 1: ability in order to go after this given the change

485
00:25:53,680 --> 00:25:56,440
Speaker 1: in political regime. And also we know that the ultimate

486
00:25:56,480 --> 00:25:58,080
Speaker 1: goal for a lot of people in it, and I

487
00:25:58,080 --> 00:26:00,280
Speaker 1: would say that's the median of the people in the

488
00:26:00,280 --> 00:26:02,920
Speaker 1: gun rise groups or the gun control groups. They genuinely

489
00:26:02,920 --> 00:26:06,800
Speaker 1: do want to take away people's guns. And you yourself,

490
00:26:07,119 --> 00:26:11,560
Speaker 1: there's so little political will and ability to go further

491
00:26:11,600 --> 00:26:14,240
Speaker 1: than these basic reforms that that just seems to me

492
00:26:14,640 --> 00:26:18,520
Speaker 1: extremely conspiratory. And there's another piece. There's another piece here

493
00:26:18,520 --> 00:26:19,880
Speaker 1: that I did want to bring up that I think

494
00:26:19,920 --> 00:26:22,800
Speaker 1: is important because for years and years we weren't even

495
00:26:22,800 --> 00:26:26,200
Speaker 1: allowed to collect data on guns and what was out

496
00:26:26,240 --> 00:26:28,960
Speaker 1: there and where things what was being sold from where

497
00:26:29,240 --> 00:26:32,280
Speaker 1: it was banned effectively under the Bush regime, which I

498
00:26:32,320 --> 00:26:34,399
Speaker 1: think is crazy because at the very least you should

499
00:26:34,400 --> 00:26:36,840
Speaker 1: just have some transparency about what's going on when you

500
00:26:36,920 --> 00:26:40,680
Speaker 1: do have this problem of crime violence, gun violence, gun

501
00:26:40,760 --> 00:26:46,359
Speaker 1: desk being such an epidemic in America. So we just recently,

502
00:26:46,680 --> 00:26:50,040
Speaker 1: thanks to I believe in executive order from the Biden administration,

503
00:26:50,200 --> 00:26:52,560
Speaker 1: got a report and one of the things that it

504
00:26:52,680 --> 00:26:54,840
Speaker 1: identified was the fact that at least in the state

505
00:26:54,880 --> 00:26:59,960
Speaker 1: of Pennsylvania, you had six relatively small firearms dealers that oh,

506
00:27:00,040 --> 00:27:04,280
Speaker 1: overwhelmingly supplied the number of guns that ended up being

507
00:27:04,359 --> 00:27:08,199
Speaker 1: used in crimes, with six retailers that still like it

508
00:27:08,240 --> 00:27:10,800
Speaker 1: was like eleven thousand guns that ended up being used

509
00:27:10,840 --> 00:27:13,320
Speaker 1: in crimes or why they did that. So, the theory

510
00:27:13,359 --> 00:27:16,200
Speaker 1: is that these are places that basically look the other

511
00:27:16,240 --> 00:27:19,679
Speaker 1: way on straw purchases. Straw purchases when you go in

512
00:27:19,800 --> 00:27:23,200
Speaker 1: purporting to be the person who's gonna buy and own

513
00:27:23,240 --> 00:27:25,200
Speaker 1: the gun, because you can't buy a gun on somebody

514
00:27:25,200 --> 00:27:27,159
Speaker 1: else's behalf. You have to buy it for yourself, so

515
00:27:27,320 --> 00:27:30,639
Speaker 1: you go through the background check. And so the thought

516
00:27:30,760 --> 00:27:32,760
Speaker 1: is that these are places that are basically known to

517
00:27:32,800 --> 00:27:35,520
Speaker 1: look the other way on straw purchases. These guns get

518
00:27:35,560 --> 00:27:38,600
Speaker 1: purchased sold into the black market. I mean something like

519
00:27:38,760 --> 00:27:43,840
Speaker 1: cracking down on those retailers and just enforcing the existing law,

520
00:27:43,960 --> 00:27:47,360
Speaker 1: which already bans straw purchases, but it's made been made

521
00:27:47,359 --> 00:27:50,600
Speaker 1: impossible by the lack of transparency. That would be one

522
00:27:50,640 --> 00:27:54,000
Speaker 1: place to start that. Again, is it going to solve

523
00:27:54,040 --> 00:27:56,679
Speaker 1: all our problems? No, But we can't just that one.

524
00:27:56,960 --> 00:27:58,840
Speaker 1: We can't just say like we can't do anything and

525
00:27:58,880 --> 00:28:00,879
Speaker 1: we just have to accept that kids are going to

526
00:28:00,920 --> 00:28:03,920
Speaker 1: get murdered in their kindergarten classes. I'm personally not willing

527
00:28:03,960 --> 00:28:06,399
Speaker 1: to do that. Even though I am a moderate, I

528
00:28:06,440 --> 00:28:09,760
Speaker 1: am not actually radical on gun control issues. I'm a moderate.

529
00:28:09,800 --> 00:28:12,000
Speaker 1: I grew up in that culture. I understand the mindset,

530
00:28:12,040 --> 00:28:15,040
Speaker 1: I understand the pieces that you're talking about here. But

531
00:28:15,560 --> 00:28:17,760
Speaker 1: to me, it seems insane to just say like, we

532
00:28:17,880 --> 00:28:19,960
Speaker 1: have to accept it exactly as it is and there's

533
00:28:20,000 --> 00:28:22,640
Speaker 1: literally nothing we can do. I think landing on this

534
00:28:23,000 --> 00:28:25,760
Speaker 1: at enforced the current law seems like a very good

535
00:28:25,840 --> 00:28:28,480
Speaker 1: one in or to say and that you know, working

536
00:28:28,520 --> 00:28:31,760
Speaker 1: against that is eminently ridiculous. I also, you know, I

537
00:28:31,800 --> 00:28:33,439
Speaker 1: want to say about the shooting, I got a lot

538
00:28:33,440 --> 00:28:35,959
Speaker 1: of questions about law enforcement. Was he known to Uvalde police?

539
00:28:36,040 --> 00:28:38,960
Speaker 1: Was he ever flagged by somebody? Which has happened in Buffalo,

540
00:28:39,160 --> 00:28:44,880
Speaker 1: in Charlotte's or sorry, in the Charleston church shooting, Markland.

541
00:28:45,760 --> 00:28:48,160
Speaker 1: You know, just happens to be every once, every single

542
00:28:48,160 --> 00:28:50,320
Speaker 1: one of these guys was known to law enforcement. I

543
00:28:50,360 --> 00:28:52,640
Speaker 1: know orhand how the hell he got into this school.

544
00:28:52,840 --> 00:28:56,560
Speaker 1: And also, I mean, I'm not in favor of this

545
00:28:56,680 --> 00:28:59,600
Speaker 1: idea of well, let's just arm the teachers. But you know,

546
00:28:59,600 --> 00:29:02,120
Speaker 1: at least at my kids' schools, the doors are all

547
00:29:02,200 --> 00:29:05,040
Speaker 1: locked during the day. Yeah, so you have to go

548
00:29:05,240 --> 00:29:07,560
Speaker 1: to the office and get but you know, and tell

549
00:29:07,600 --> 00:29:09,880
Speaker 1: them who you are and get buzzed in. I mean,

550
00:29:09,960 --> 00:29:12,479
Speaker 1: I've live in this little rural county that has almost

551
00:29:12,520 --> 00:29:16,000
Speaker 1: like no crime and has never had any major issues

552
00:29:16,000 --> 00:29:20,160
Speaker 1: of this regard, and so I'm just I'm pretty shocked

553
00:29:20,160 --> 00:29:23,200
Speaker 1: that there wasn't that basic level of that he was

554
00:29:23,240 --> 00:29:26,120
Speaker 1: able to just rush into the school. But we don't

555
00:29:26,120 --> 00:29:27,920
Speaker 1: know all the details yet, and so again I don't

556
00:29:27,920 --> 00:29:30,080
Speaker 1: want to cast too harsh a judgment here without knowing

557
00:29:30,080 --> 00:29:31,920
Speaker 1: those details. But as you said, I do have a

558
00:29:31,920 --> 00:29:33,680
Speaker 1: lot of questions, Yeah, what happened? Really, I just want

559
00:29:33,720 --> 00:29:35,680
Speaker 1: to say too. You Aldi is such a beautiful part

560
00:29:35,720 --> 00:29:38,920
Speaker 1: of Texas, such a cool place majority you know, has

561
00:29:38,960 --> 00:29:41,920
Speaker 1: a lot of history in terms of one of our

562
00:29:41,960 --> 00:29:44,320
Speaker 1: former vice presidents is from there. That's where Matthew McConaughey

563
00:29:44,360 --> 00:29:47,880
Speaker 1: is from. Matthew McConaughey, Cactus Jack Garner who is vice

564
00:29:47,920 --> 00:29:54,240
Speaker 1: president under under FDR, And it's such good people. So yeah,

565
00:29:54,400 --> 00:29:56,280
Speaker 1: all right, let's go ahead and move on here. Let's

566
00:29:56,280 --> 00:29:58,680
Speaker 1: talk about the primary results. Let's put this up there

567
00:29:58,800 --> 00:30:01,840
Speaker 1: on the screen. Will start art here with Brian Kemp.

568
00:30:01,920 --> 00:30:05,200
Speaker 1: So here's what happened last night. Georgia Governor Brian Kemp

569
00:30:05,280 --> 00:30:10,560
Speaker 1: doesn't just win the GOP primary, he absolutely obliterates David

570
00:30:10,720 --> 00:30:15,720
Speaker 1: Purdue seventy two percent of the vote to Purdue's twenty

571
00:30:15,960 --> 00:30:19,479
Speaker 1: two percent of the vote. And you guys will recall

572
00:30:19,640 --> 00:30:23,560
Speaker 1: David Perdue famously said we may not win, but we're

573
00:30:23,600 --> 00:30:27,280
Speaker 1: not gonna lose by thirty. Well he was right. He

574
00:30:27,360 --> 00:30:31,280
Speaker 1: was actually down by fifty in that race. I mean,

575
00:30:31,440 --> 00:30:35,520
Speaker 1: there's no other way to describe this except a complete

576
00:30:35,560 --> 00:30:39,520
Speaker 1: and utter humiliation of David Perdue, who was once a

577
00:30:39,600 --> 00:30:41,800
Speaker 1: high ranking member of the United States Senate on the

578
00:30:41,800 --> 00:30:44,800
Speaker 1: Republican Party and of Donald Trump. Let's put this up

579
00:30:44,840 --> 00:30:47,680
Speaker 1: there on the screen. This is a great Politico report

580
00:30:47,760 --> 00:30:49,920
Speaker 1: actually on how we're going to go effing scorched to

581
00:30:49,920 --> 00:30:52,920
Speaker 1: earth how Brian Kemp crushed Trump in Georgia. And what

582
00:30:52,960 --> 00:30:55,720
Speaker 1: they point to is that Kemp is honestly a very

583
00:30:55,880 --> 00:30:59,480
Speaker 1: savvy politician. He never said a goddamn word about Trump.

584
00:30:59,520 --> 00:31:02,320
Speaker 1: He just did what he had to do. He'd moved

585
00:31:02,360 --> 00:31:08,200
Speaker 1: on from the election. He courted the base on every issue, CRT, voting,

586
00:31:08,680 --> 00:31:13,120
Speaker 1: all this stuff. Then he actually strategically appointed many of

587
00:31:13,120 --> 00:31:17,000
Speaker 1: his biggest critics to high office in the state of Georgia.

588
00:31:17,080 --> 00:31:21,000
Speaker 1: He never really addressed any of Trump's major concerns. And

589
00:31:21,040 --> 00:31:24,240
Speaker 1: I think the Republican base was said, yeah, we want

590
00:31:24,240 --> 00:31:26,160
Speaker 1: to move on from twenty twenty. They're like, yeah, I

591
00:31:26,160 --> 00:31:28,600
Speaker 1: guess we think the election was stolen. But you know,

592
00:31:28,880 --> 00:31:32,320
Speaker 1: Brian Kemp, he seems like a good guy. And I

593
00:31:32,360 --> 00:31:34,480
Speaker 1: can't help but come back to this, which is that

594
00:31:35,000 --> 00:31:37,440
Speaker 1: I love whenever this happens, just to show you that

595
00:31:37,720 --> 00:31:40,720
Speaker 1: people are not automatons. They don't just go well, Donald

596
00:31:40,760 --> 00:31:42,200
Speaker 1: Trump said to vote for him, so I'm going to

597
00:31:42,280 --> 00:31:45,800
Speaker 1: vote for him. People think for themselves. Americans are smart.

598
00:31:45,880 --> 00:31:49,040
Speaker 1: They could look at David Perdue and say, this guy's moron.

599
00:31:49,160 --> 00:31:51,920
Speaker 1: He literally doesn't want to be governor for any other

600
00:31:51,960 --> 00:31:55,040
Speaker 1: reason except his own personal vanity and because of whatever

601
00:31:55,080 --> 00:31:57,920
Speaker 1: happened in twenty twenty. This guy, Brian Kemp at least,

602
00:31:58,320 --> 00:32:01,480
Speaker 1: you know, purports to do what we asked him to do,

603
00:32:01,880 --> 00:32:03,800
Speaker 1: and so we're going to vote for him no matter

604
00:32:03,840 --> 00:32:07,200
Speaker 1: what Trump has to say. So a massive rebuke of

605
00:32:07,440 --> 00:32:10,240
Speaker 1: Donald Trump here in terms of how much he can

606
00:32:10,280 --> 00:32:14,920
Speaker 1: translate his personal political brand two issues which people do

607
00:32:14,960 --> 00:32:17,440
Speaker 1: not care about. Yeah. I think that's the number one

608
00:32:17,440 --> 00:32:21,160
Speaker 1: thing you can say. Stop the steal is not enough. Yeah,

609
00:32:21,200 --> 00:32:23,920
Speaker 1: it's just not I mean, listen, I never want to

610
00:32:23,920 --> 00:32:27,320
Speaker 1: overstate these things, because Donald Trump's endorsement is still the

611
00:32:27,440 --> 00:32:30,720
Speaker 1: most important and most powerful endorsement in all of politics.

612
00:32:30,760 --> 00:32:32,760
Speaker 1: There's just no doubt about it. Yeah. I mean, you know,

613
00:32:32,840 --> 00:32:35,480
Speaker 1: he endorsed Vance at kind of the right moment when

614
00:32:35,560 --> 00:32:38,880
Speaker 1: Vance was already rising the peoples. That's right. But you know,

615
00:32:39,040 --> 00:32:42,480
Speaker 1: he did help him get over the finish line. It

616
00:32:42,600 --> 00:32:45,040
Speaker 1: appears that he may have given Oz the boost that

617
00:32:45,080 --> 00:32:47,320
Speaker 1: he needed to get over the finish line. I do

618
00:32:47,360 --> 00:32:52,440
Speaker 1: also think that partly these executive offices are a bit

619
00:32:52,440 --> 00:32:57,120
Speaker 1: of a different deal than federal legislators. So to your

620
00:32:57,120 --> 00:33:00,080
Speaker 1: point about Kem, this guy, I mean, this is a

621
00:33:00,320 --> 00:33:03,000
Speaker 1: very right wing guy. He checked the box for the

622
00:33:03,040 --> 00:33:06,600
Speaker 1: Republican base on literally every issue from guns to abortion,

623
00:33:06,720 --> 00:33:12,800
Speaker 1: to CRT to voting, and so he lower taxes and

624
00:33:12,880 --> 00:33:16,800
Speaker 1: so when it came time for people to vote, they said, Okay,

625
00:33:16,880 --> 00:33:18,960
Speaker 1: that's nice Donald Trump. You're not real happy with him,

626
00:33:19,000 --> 00:33:22,040
Speaker 1: but listen, we've seen who he is and we kind

627
00:33:22,040 --> 00:33:24,680
Speaker 1: of we're good with him right now. And so you

628
00:33:24,760 --> 00:33:28,000
Speaker 1: really see the limit, like the size of the pure

629
00:33:28,160 --> 00:33:31,000
Speaker 1: stop the steel Donald Trump vote, and it looks to

630
00:33:31,040 --> 00:33:33,880
Speaker 1: be around twenty percent. And the other one that is

631
00:33:33,960 --> 00:33:38,720
Speaker 1: really incredible is maybe even more remarkable, is Brad Rathensberger,

632
00:33:39,120 --> 00:33:42,480
Speaker 1: who's the Secretary of State, who the only thing that

633
00:33:42,520 --> 00:33:45,480
Speaker 1: you would ever know this man for is his opposition

634
00:33:45,520 --> 00:33:47,200
Speaker 1: to Donald Trump and stop the steal. I mean, what

635
00:33:47,240 --> 00:33:48,840
Speaker 1: else do you know a secretary? You don't know a

636
00:33:48,880 --> 00:33:51,000
Speaker 1: secretary of State. That's the only thing that they really

637
00:33:51,040 --> 00:33:53,360
Speaker 1: have to do with. And so Donald Trump has his

638
00:33:53,600 --> 00:33:57,400
Speaker 1: hand pick candidate Jody Hye. This thing in the pulling

639
00:33:57,840 --> 00:34:01,280
Speaker 1: looked like it was gonna be very close Rathensberger not

640
00:34:01,320 --> 00:34:04,120
Speaker 1: only won, but he won with over fifty percent of

641
00:34:04,120 --> 00:34:07,800
Speaker 1: the vote, also avoiding runoffs, meaning that he avoids a runoff.

642
00:34:08,200 --> 00:34:12,200
Speaker 1: To me, that's almost more humiliating than what happened here

643
00:34:12,239 --> 00:34:14,520
Speaker 1: with Kemp, because yeah, Kemp had other things that he

644
00:34:14,560 --> 00:34:17,560
Speaker 1: could lean on, other things people knew him for. This

645
00:34:17,760 --> 00:34:21,160
Speaker 1: was just a pure kind of litmus test of how

646
00:34:21,200 --> 00:34:23,920
Speaker 1: do you feel about Stop the Steal and Donald Trump?

647
00:34:24,040 --> 00:34:28,480
Speaker 1: And ultimately he comes up dramatically short. Trump's endorsements in

648
00:34:28,560 --> 00:34:31,319
Speaker 1: a couple other governor's races, and I think we're going

649
00:34:31,360 --> 00:34:33,600
Speaker 1: to talk a little bit more about this. Later also failed,

650
00:34:33,960 --> 00:34:38,920
Speaker 1: notably in Idaho. He endorsed the sitting lieutenant governor against

651
00:34:38,960 --> 00:34:42,879
Speaker 1: the incumbent governor, and she also came up. I mean,

652
00:34:43,000 --> 00:34:47,440
Speaker 1: she did very, very poorly in that Republican primary. So listen,

653
00:34:47,920 --> 00:34:50,600
Speaker 1: as I said, the man's endorsement still matters a lot.

654
00:34:50,840 --> 00:34:53,800
Speaker 1: Jody Heights wouldn't have even been in the game, David

655
00:34:53,800 --> 00:34:56,960
Speaker 1: Perdue wouldn't have even been in the game without Donald

656
00:34:57,000 --> 00:35:02,560
Speaker 1: Trump pumping and supporting these candidates. But ultimately, it's going

657
00:35:02,640 --> 00:35:05,279
Speaker 1: to take more than just saying stop the deal over

658
00:35:05,320 --> 00:35:10,160
Speaker 1: and over again to entice even Republican base voters, and

659
00:35:10,200 --> 00:35:12,279
Speaker 1: that is a warning sign for him for twenty twenty

660
00:35:12,360 --> 00:35:16,200
Speaker 1: four because he is obsessed with this and almost to

661
00:35:16,280 --> 00:35:18,520
Speaker 1: the exclusion of everything else. Yeah, and that's why it matters,

662
00:35:18,560 --> 00:35:21,000
Speaker 1: which is that if this is his only pet issue

663
00:35:21,000 --> 00:35:24,240
Speaker 1: on whether you're MAGA or not or whether you've gone awoke,

664
00:35:24,480 --> 00:35:26,880
Speaker 1: as we'll talk about in a bit with respect to

665
00:35:26,960 --> 00:35:31,440
Speaker 1: mister Bill Brooks, well, voters are going to say, you know, Donald,

666
00:35:31,600 --> 00:35:34,640
Speaker 1: it was a long time ago, and we've got inflation,

667
00:35:35,200 --> 00:35:37,719
Speaker 1: Biden is president, we have all sorts of problems in

668
00:35:37,760 --> 00:35:40,680
Speaker 1: this country, and in that case, we're just going to

669
00:35:40,760 --> 00:35:43,040
Speaker 1: go ahead and vote with the guy who we kind

670
00:35:43,040 --> 00:35:45,200
Speaker 1: of agree with. And I personally think that that is

671
00:35:45,239 --> 00:35:48,600
Speaker 1: a very welcome and good development for this country. I mean, look,

672
00:35:48,640 --> 00:35:52,719
Speaker 1: Brad Raffensberger and Brian Camp both obviously did the right thing.

673
00:35:52,880 --> 00:35:55,800
Speaker 1: And every once in a while, the good guy or okay,

674
00:35:55,840 --> 00:35:57,840
Speaker 1: the person who does the right thing and then is

675
00:35:57,880 --> 00:36:00,759
Speaker 1: attacked explicitly for doing the right thing does pull it

676
00:36:00,800 --> 00:36:03,440
Speaker 1: off in America. And it's nice to see because what

677
00:36:03,480 --> 00:36:07,000
Speaker 1: you can see here is that people, even the people

678
00:36:07,040 --> 00:36:10,719
Speaker 1: with MAGA faithful, which I think the majority of here's

679
00:36:10,719 --> 00:36:14,239
Speaker 1: a good one to square. GA primary voters voted to

680
00:36:14,320 --> 00:36:18,920
Speaker 1: keep three politicians in office yesterday Brian Kemp, Brad Roethlisberger,

681
00:36:19,280 --> 00:36:23,080
Speaker 1: Marjorie Taylor Green. So even people who vote for Marjorie

682
00:36:23,120 --> 00:36:25,840
Speaker 1: are willing to say, I'm going to vote for Brian Kemp,

683
00:36:25,920 --> 00:36:28,560
Speaker 1: I'm going to vote for the way and she also

684
00:36:28,560 --> 00:36:30,360
Speaker 1: won easily. Yeah, I know that was also cope in

685
00:36:30,440 --> 00:36:32,960
Speaker 1: order to the idea. But my point being here is

686
00:36:33,000 --> 00:36:35,800
Speaker 1: that even so called Maga Faithful and all those people

687
00:36:35,960 --> 00:36:37,960
Speaker 1: are not going to follow him down a path that

688
00:36:38,000 --> 00:36:40,359
Speaker 1: they just do not care about. So as much as

689
00:36:40,360 --> 00:36:42,359
Speaker 1: they like Trump, as much as they trust Trump, it

690
00:36:42,400 --> 00:36:45,440
Speaker 1: has to be in an area which aligns already with

691
00:36:45,560 --> 00:36:47,640
Speaker 1: the things that they care the most about, and not

692
00:36:47,680 --> 00:36:50,760
Speaker 1: a personal vanity project, which ultimately that's what all stopped

693
00:36:50,760 --> 00:36:54,200
Speaker 1: the steal actually is about. So let's move on also

694
00:36:54,280 --> 00:36:56,480
Speaker 1: to Texas, because you and I were following this very

695
00:36:56,480 --> 00:36:58,680
Speaker 1: closely and it's really fascinating. Let's put it up there

696
00:36:58,800 --> 00:37:01,680
Speaker 1: on the screen, which is Ken Paxton. He was the

697
00:37:01,719 --> 00:37:05,640
Speaker 1: indicted Texas ag under FBI investigation com literally I remember,

698
00:37:06,000 --> 00:37:11,120
Speaker 1: of course, for corruption allegation, has defeated George P. Bush,

699
00:37:11,320 --> 00:37:15,120
Speaker 1: a scion of the Bush family, son of Jeb Bush,

700
00:37:15,280 --> 00:37:20,280
Speaker 1: in the GOP primary for Texas Attorney General. This race

701
00:37:20,600 --> 00:37:24,920
Speaker 1: I've found absolutely fascinating, and there was actually even a

702
00:37:25,000 --> 00:37:27,759
Speaker 1: chance that George P. Could have come close, although the

703
00:37:27,840 --> 00:37:31,719
Speaker 1: ultimate results didn't really bear that out. The journal went

704
00:37:31,760 --> 00:37:34,000
Speaker 1: ahead and wrote this up which was kind of fascinating,

705
00:37:34,200 --> 00:37:35,840
Speaker 1: which is that George P. Bush just put it up

706
00:37:35,840 --> 00:37:38,240
Speaker 1: there on the screen. Please. It was George P. Bush

707
00:37:38,280 --> 00:37:41,359
Speaker 1: fights Ken Paxton to win conservative voters in Texas. He

708
00:37:41,480 --> 00:37:45,400
Speaker 1: was actually attacking Ken Paxton as some sort of secret liberal.

709
00:37:45,480 --> 00:37:49,560
Speaker 1: But of course what really had Paxton's back is that

710
00:37:49,760 --> 00:37:55,000
Speaker 1: a lot of Republicans in Texas, they remember the Bush family,

711
00:37:55,600 --> 00:37:58,960
Speaker 1: they don't recall it all so nicely in terms of

712
00:37:59,000 --> 00:38:00,960
Speaker 1: how that all went down and how w gave us

713
00:38:00,960 --> 00:38:04,439
Speaker 1: a bad name after he became president. And I mean, look,

714
00:38:04,680 --> 00:38:06,799
Speaker 1: this is a benefit, in my opinion, there was a

715
00:38:06,840 --> 00:38:11,280
Speaker 1: time in Texas politics where the last name Bush really

716
00:38:11,320 --> 00:38:15,319
Speaker 1: meant something. They even elected the idiot president's son to

717
00:38:15,400 --> 00:38:18,400
Speaker 1: become the governor because he owned a baseball team. And

718
00:38:18,480 --> 00:38:21,839
Speaker 1: yet you know that faded away, you know, And this

719
00:38:21,920 --> 00:38:25,080
Speaker 1: is maybe the one benefit that Trump had given people,

720
00:38:25,160 --> 00:38:28,080
Speaker 1: is he destroyed the Bushes and removed them as a

721
00:38:28,160 --> 00:38:30,920
Speaker 1: scion of the Republican Party, at least in terms of

722
00:38:31,480 --> 00:38:33,880
Speaker 1: their national aspirations. And I also want to say too,

723
00:38:33,920 --> 00:38:37,040
Speaker 1: on George P. This guy is a complete narcissist. Like

724
00:38:37,120 --> 00:38:40,800
Speaker 1: even after Trump went after Jeb Bush, his literal father,

725
00:38:41,120 --> 00:38:43,560
Speaker 1: he was out there trying to get his endorsement meeting

726
00:38:43,560 --> 00:38:46,480
Speaker 1: with I mean, that's disgusting. Okay, you stand by your

727
00:38:46,520 --> 00:38:48,760
Speaker 1: your Remember what he said. What he said, some stuff

728
00:38:48,760 --> 00:38:54,800
Speaker 1: about Jeb's wife, that's his mom. That's literally real mom. Something.

729
00:38:55,239 --> 00:38:57,040
Speaker 1: These people have a lot of money. Some things are

730
00:38:57,040 --> 00:39:00,600
Speaker 1: actually more important than winning national office. Cparently not. And

731
00:39:00,760 --> 00:39:03,680
Speaker 1: you know you come from my parents or a member

732
00:39:03,719 --> 00:39:06,919
Speaker 1: of my family. I basically don't care even if you're

733
00:39:06,960 --> 00:39:09,360
Speaker 1: in my party whether you're gonna say something about it.

734
00:39:10,040 --> 00:39:13,360
Speaker 1: Look at Ted Cruz I said about that. These people

735
00:39:13,400 --> 00:39:15,799
Speaker 1: won't do it. I'm just saying I personally look down

736
00:39:15,840 --> 00:39:17,799
Speaker 1: on any person who is willing to I do want

737
00:39:17,800 --> 00:39:20,640
Speaker 1: to say, going back to Georgia too, I wonder if

738
00:39:20,760 --> 00:39:24,080
Speaker 1: part of Kemp's appeal was actually that he didn't cut

739
00:39:24,160 --> 00:39:27,200
Speaker 1: himself to Trump. Definitely, you know, I mean, and I

740
00:39:27,239 --> 00:39:29,520
Speaker 1: do think that that matters too in terms of how

741
00:39:29,560 --> 00:39:33,959
Speaker 1: Republicans position themselves going forward, because it does it does

742
00:39:34,040 --> 00:39:36,400
Speaker 1: cut into this idea that, oh, you just can't cross

743
00:39:36,400 --> 00:39:38,560
Speaker 1: Trump whatsoever, you have to be with him on every

744
00:39:38,600 --> 00:39:43,520
Speaker 1: single stupid, last insane thing he's doing. Kemp decidedly did

745
00:39:43,520 --> 00:39:46,719
Speaker 1: not do that. Raffensburger decidedly did not do that in

746
00:39:46,760 --> 00:39:50,600
Speaker 1: a very you know, publicly revealed way, and ultimately were

747
00:39:50,760 --> 00:39:54,279
Speaker 1: able to not just hang on but when handily. So

748
00:39:54,560 --> 00:39:57,080
Speaker 1: I'm not sure that all these Republicans that go out

749
00:39:57,080 --> 00:40:00,600
Speaker 1: of their way to just completely embarrassingly cut themselves to

750
00:40:00,640 --> 00:40:04,800
Speaker 1: Trump are ultimately really doing themselves any favors with regard

751
00:40:04,840 --> 00:40:08,200
Speaker 1: to this George P. Bush situation. I mean, there's no

752
00:40:08,239 --> 00:40:11,400
Speaker 1: one to cheer for in this particular race, like Paxton

753
00:40:11,960 --> 00:40:15,960
Speaker 1: Ken Paxton continues to be he's indicted, He's under FBI

754
00:40:16,000 --> 00:40:19,759
Speaker 1: investigation currently for corruption allegations. He also has been all

755
00:40:19,800 --> 00:40:24,000
Speaker 1: in on stop the Seal joining lawsuits idiot lawsuits. Yeah,

756
00:40:24,040 --> 00:40:26,880
Speaker 1: so I mean this there's again no one to cheer

757
00:40:26,880 --> 00:40:31,520
Speaker 1: for here. And it is interesting though, because Jeb was

758
00:40:31,600 --> 00:40:34,720
Speaker 1: really Jeb exclamation point was really the one that killed

759
00:40:34,920 --> 00:40:37,879
Speaker 1: the Bush name. Because already obviously there was a lot

760
00:40:37,880 --> 00:40:41,560
Speaker 1: of disenchantment with the legacy of George W. Bush Trump

761
00:40:41,600 --> 00:40:44,279
Speaker 1: willing to say things during the twenty sixteen primary that

762
00:40:44,400 --> 00:40:46,200
Speaker 1: sort of like, you know, spoke the truth that the

763
00:40:46,200 --> 00:40:49,240
Speaker 1: base was thinking, but nobody had really had the balls

764
00:40:49,280 --> 00:40:51,719
Speaker 1: to say yet. But then the fact that you had

765
00:40:51,840 --> 00:40:55,480
Speaker 1: up there on stage next to him, this totally like

766
00:40:55,840 --> 00:41:01,640
Speaker 1: weak kneely mouth, just perfect emblem of the you know,

767
00:41:02,160 --> 00:41:07,280
Speaker 1: a rotten husk of the GOP establishment Bush elite standing

768
00:41:07,320 --> 00:41:10,879
Speaker 1: on stage next to him that he could just thoroughly humiliate,

769
00:41:11,239 --> 00:41:13,840
Speaker 1: like on a personal level, over and over and over again.

770
00:41:14,280 --> 00:41:18,680
Speaker 1: That was the dynamic that really ultimately destroyed the Bush name.

771
00:41:18,840 --> 00:41:21,759
Speaker 1: And so this was the very last gas. At least

772
00:41:21,760 --> 00:41:23,920
Speaker 1: as far as I know, George P. Bush is basically

773
00:41:23,960 --> 00:41:26,239
Speaker 1: the only one who still had real He's the only

774
00:41:26,239 --> 00:41:30,359
Speaker 1: one yet political potential still hanging out out there. And

775
00:41:30,400 --> 00:41:34,400
Speaker 1: so this is kind of the final, thorough, very clear

776
00:41:34,520 --> 00:41:38,000
Speaker 1: crushing of the Bush dynasty, which that part of it

777
00:41:38,040 --> 00:41:40,399
Speaker 1: I certainly cheer for. Like I said, there's no way

778
00:41:40,440 --> 00:41:44,160
Speaker 1: I can support Ken Baxton, who is like basically bad

779
00:41:44,200 --> 00:41:47,200
Speaker 1: on every level. Yeah, well, George, you know it's time

780
00:41:47,239 --> 00:41:50,919
Speaker 1: to go back to Kennebunkport. Yeah, you can't cry too hard.

781
00:41:50,960 --> 00:41:53,000
Speaker 1: For him, He's gonna be just fine. Let's move on,

782
00:41:53,080 --> 00:41:56,320
Speaker 1: Mo Brooks. Let's put this one up there on the screen.

783
00:41:56,560 --> 00:41:58,560
Speaker 1: So this one we talked a little bit about, which

784
00:41:58,760 --> 00:42:01,920
Speaker 1: was the Alabama at GOP, and actually it looks like

785
00:42:01,960 --> 00:42:05,080
Speaker 1: it's going to a runoff here because Katie Britt, who

786
00:42:05,120 --> 00:42:07,759
Speaker 1: was the Trump endorsed candidate, she was the what was it,

787
00:42:07,800 --> 00:42:10,240
Speaker 1: the chief of staff to Senator Richard Shelby y seat

788
00:42:10,280 --> 00:42:14,400
Speaker 1: that they're replacing, garnered forty five percent of the vote

789
00:42:14,560 --> 00:42:16,960
Speaker 1: Mo Brooks and Mike Durant splitting the rest of it,

790
00:42:17,120 --> 00:42:21,160
Speaker 1: Moe coming in twenty nine percent, Mike Durant at twenty three.

791
00:42:21,280 --> 00:42:23,799
Speaker 1: So I don't know, Christal. I mean, I'm curious what

792
00:42:23,840 --> 00:42:26,920
Speaker 1: your thoughts are. It's obviously going to go to a runoff.

793
00:42:26,960 --> 00:42:30,360
Speaker 1: She did come offul close at forty five, but clearly

794
00:42:30,520 --> 00:42:32,960
Speaker 1: there were enough people who voted for Mike Durant, who

795
00:42:33,000 --> 00:42:36,640
Speaker 1: apparently was having a kind of a switch off with

796
00:42:37,160 --> 00:42:41,680
Speaker 1: Mo Brooks. There's enough people, clearly over fifty a constituency

797
00:42:41,800 --> 00:42:45,520
Speaker 1: who might be willing to back Mobrooks over Katie Britt,

798
00:42:45,560 --> 00:42:47,719
Speaker 1: which would also be a big rebuke to Trump given

799
00:42:47,760 --> 00:42:51,000
Speaker 1: that he went so far as to call Mobrooks woke

800
00:42:51,960 --> 00:42:54,120
Speaker 1: for saying we need to move on from the twenty

801
00:42:54,200 --> 00:42:58,680
Speaker 1: ninety elect the worst smear possible of any anyone coming

802
00:42:58,680 --> 00:43:01,600
Speaker 1: from the right. Yeah, I mean, as you said, it

803
00:43:01,600 --> 00:43:04,640
Speaker 1: seemed like the two of them, Mobrooks and Durant were

804
00:43:04,719 --> 00:43:07,640
Speaker 1: kind of sharing the same pool of voters. So if

805
00:43:07,680 --> 00:43:10,080
Speaker 1: you add their totals together, you get fifty two percent.

806
00:43:10,120 --> 00:43:13,560
Speaker 1: Britt was at forty five percent. I could see him

807
00:43:13,560 --> 00:43:19,200
Speaker 1: pulling it off, especially. I almost feel like during this primary,

808
00:43:19,200 --> 00:43:22,480
Speaker 1: Trump has continued to be outspoken and kind of slamming Mobrooks.

809
00:43:23,040 --> 00:43:25,600
Speaker 1: I wonder if he's going to kind of back off

810
00:43:25,600 --> 00:43:27,640
Speaker 1: at this point not say a lot about this thing.

811
00:43:27,640 --> 00:43:30,960
Speaker 1: Maybe that gives Brooks a chance to rise and collect

812
00:43:31,040 --> 00:43:33,040
Speaker 1: not just the votes from Durant, but also eat a

813
00:43:33,040 --> 00:43:37,040
Speaker 1: little bit into Katie Britzley lead here. I would still say, obviously,

814
00:43:37,080 --> 00:43:39,360
Speaker 1: because she pulled in so many more voters than he

815
00:43:39,400 --> 00:43:42,200
Speaker 1: did during the initial primary, that she would certainly be

816
00:43:42,400 --> 00:43:45,920
Speaker 1: the favorite. But he looked like he was dead. I mean,

817
00:43:45,960 --> 00:43:48,800
Speaker 1: that's why Trump pulled his endorsement. In spite of whatever

818
00:43:48,840 --> 00:43:50,799
Speaker 1: he had to say about like stop this deal and

819
00:43:50,840 --> 00:43:53,120
Speaker 1: all he went woke. The real problem was he saw

820
00:43:53,160 --> 00:43:54,719
Speaker 1: Brooks falling in the polls and it looked like he

821
00:43:54,800 --> 00:43:56,400
Speaker 1: was going to end up in third place, and I

822
00:43:56,440 --> 00:43:58,759
Speaker 1: can come close to making a runoff. So this is

823
00:43:58,760 --> 00:44:00,799
Speaker 1: a bit of a comeback for bow Brooks and as

824
00:44:00,800 --> 00:44:02,719
Speaker 1: you said, a bit of a humiliation for Trump. And

825
00:44:02,760 --> 00:44:07,360
Speaker 1: I also think look, with the learnings of Georgia and

826
00:44:07,400 --> 00:44:10,560
Speaker 1: the fact that Trump doesn't appear quite as formidable and

827
00:44:10,600 --> 00:44:13,799
Speaker 1: scary as he once did, you may also see some

828
00:44:13,960 --> 00:44:18,280
Speaker 1: more fundraising and you know, sort of GOP figures rallying

829
00:44:18,320 --> 00:44:21,520
Speaker 1: to Mobrook's side that could give him some support here

830
00:44:21,560 --> 00:44:23,360
Speaker 1: as well as he goes into the runoff. The runoff

831
00:44:23,480 --> 00:44:26,480
Speaker 1: time period I think is relatively short. Yeah, that's quite short.

832
00:44:26,719 --> 00:44:28,200
Speaker 1: I think it's a couple of weeks. It was just

833
00:44:28,239 --> 00:44:30,480
Speaker 1: actually reading about it. But you know, whenever you think

834
00:44:30,480 --> 00:44:34,520
Speaker 1: about what Alabama, it's difficult to say because obviously there

835
00:44:34,560 --> 00:44:36,640
Speaker 1: is the poll, but she came so close that all

836
00:44:36,640 --> 00:44:38,440
Speaker 1: she has to do is peel off six percent of

837
00:44:38,480 --> 00:44:40,400
Speaker 1: Mike Durant voters and then she can go ahead and

838
00:44:40,440 --> 00:44:43,320
Speaker 1: pull herself right at fifty one and win the runoff.

839
00:44:43,360 --> 00:44:47,080
Speaker 1: So if that's the case, then obviously mo Brooks literally

840
00:44:47,120 --> 00:44:49,719
Speaker 1: needs almost all of the people who voted for Durant

841
00:44:49,840 --> 00:44:51,960
Speaker 1: to come to his side. That certainly could happen. I mean,

842
00:44:52,000 --> 00:44:54,960
Speaker 1: you don't vote for Durant or for Mo Brooks unless

843
00:44:55,040 --> 00:44:58,239
Speaker 1: you're dissatisfied with Katie britt and generally and kind of

844
00:44:58,280 --> 00:45:01,440
Speaker 1: more of an anti establishment and that it includes Alabama

845
00:45:01,560 --> 00:45:05,840
Speaker 1: Republican establishment type Republican. So Mo Brooks had that interesting

846
00:45:05,840 --> 00:45:09,280
Speaker 1: moment here that we covered on the show about revealing

847
00:45:09,320 --> 00:45:12,360
Speaker 1: the corruption in the congressional system, and he does seem

848
00:45:12,400 --> 00:45:16,080
Speaker 1: to have some sort of like appeal on that front

849
00:45:16,200 --> 00:45:18,359
Speaker 1: in terms of I'm the actual conservative in the race.

850
00:45:18,680 --> 00:45:22,800
Speaker 1: You have people like Ted Cruz and Jeff Sessions or

851
00:45:22,880 --> 00:45:25,840
Speaker 1: sorry Ted Cruz and Rand Paul coming in and stumping

852
00:45:25,920 --> 00:45:28,160
Speaker 1: the state for him. So he's got kind of the

853
00:45:28,560 --> 00:45:30,840
Speaker 1: rabble rousers. It is kind of she's kind of the

854
00:45:30,920 --> 00:45:33,560
Speaker 1: Chamber of Commed. She's the Mitch McComas candidate. You know. Yeah,

855
00:45:33,560 --> 00:45:35,880
Speaker 1: I mean that's not a good thing to be whenever

856
00:45:35,960 --> 00:45:40,080
Speaker 1: you're in the Alabama Republican primary. But you know, Tommy

857
00:45:40,120 --> 00:45:44,440
Speaker 1: Tupperville did destroy Jeff Sessions purely based upon Trump's backing,

858
00:45:44,520 --> 00:45:47,640
Speaker 1: and Jeff he represented that state for what like thirty

859
00:45:47,760 --> 00:45:49,759
Speaker 1: years or something. Like that, and they still kicked out

860
00:45:49,800 --> 00:45:51,799
Speaker 1: and was the original. I mean he was sort of

861
00:45:51,840 --> 00:45:55,759
Speaker 1: Trump he made Trump, Yeah, I mean he he The

862
00:45:56,320 --> 00:46:00,960
Speaker 1: Sessions endorsement was a landmark political event at the time.

863
00:46:01,000 --> 00:46:03,080
Speaker 1: A lot of people really remember it. But he was

864
00:46:03,120 --> 00:46:06,360
Speaker 1: a sitting United States senator, not even just a congressman,

865
00:46:06,360 --> 00:46:08,200
Speaker 1: who was like eyes you put on the magahat on,

866
00:46:08,239 --> 00:46:10,360
Speaker 1: you know what I mean. He sent Sessions down to Mexico.

867
00:46:10,600 --> 00:46:13,920
Speaker 1: I remember it was his politics. His political views were

868
00:46:13,920 --> 00:46:16,759
Speaker 1: in a lot of ways, the kind of roadmap for

869
00:46:17,120 --> 00:46:20,200
Speaker 1: what was trump Ism before trump Ism just devolved into

870
00:46:20,280 --> 00:46:23,239
Speaker 1: conspiracy nonsense before stop this deal. Okay, why don't we

871
00:46:23,239 --> 00:46:25,640
Speaker 1: get to the Democrats? Okay, So the big race on

872
00:46:25,640 --> 00:46:29,120
Speaker 1: the Democratic side, another sort of war between the establishment

873
00:46:29,200 --> 00:46:33,520
Speaker 1: and progressive wings of the party, is Henry Quaar, sitting incumbent.

874
00:46:33,960 --> 00:46:36,120
Speaker 1: Really you have to call him sort of a conservative Democrat,

875
00:46:36,160 --> 00:46:39,440
Speaker 1: maybe the most conservative Democrat remaining in the House versus

876
00:46:40,000 --> 00:46:44,600
Speaker 1: progressive justcus Cesnaros. This is her second time taking him on.

877
00:46:44,719 --> 00:46:47,719
Speaker 1: She's made it very close every single time, and this

878
00:46:47,800 --> 00:46:52,560
Speaker 1: one still this race has not been called. The very latest,

879
00:46:52,600 --> 00:46:56,920
Speaker 1: per Steve Kornacki, is that Quaar leads by one hundred

880
00:46:57,000 --> 00:47:00,600
Speaker 1: and seventy seven votes. That's it. There's still, says, a

881
00:47:00,719 --> 00:47:02,719
Speaker 1: very small number of provisional ballots to be counted, and

882
00:47:02,760 --> 00:47:05,799
Speaker 1: there are several counties that could still have a few

883
00:47:05,880 --> 00:47:10,120
Speaker 1: uncounted votes, and I recount certainly looms, so NBC is

884
00:47:10,160 --> 00:47:15,000
Speaker 1: not yet calling the race. What is extraordinary here, Sager,

885
00:47:15,120 --> 00:47:17,360
Speaker 1: is if you look at the map of this district.

886
00:47:17,920 --> 00:47:22,200
Speaker 1: This district goes from San Antonio down to the border, YEP,

887
00:47:22,480 --> 00:47:24,719
Speaker 1: and it was very divided in terms of the vote.

888
00:47:25,360 --> 00:47:30,239
Speaker 1: Overwhelmingly those border counties, which is Quaar's base, went for

889
00:47:30,480 --> 00:47:35,040
Speaker 1: Quaar overwhelmingly. The more northern parts of the district that

890
00:47:35,080 --> 00:47:38,359
Speaker 1: are close to San Antonio went for cis Naros, and

891
00:47:38,400 --> 00:47:43,440
Speaker 1: those margins hardened from the original primary and from this runoff,

892
00:47:43,719 --> 00:47:48,040
Speaker 1: which raises the question of whether potentially Row versus Wade

893
00:47:48,120 --> 00:47:51,600
Speaker 1: and the question of abortion rights sort of hardened and

894
00:47:51,680 --> 00:47:55,000
Speaker 1: further the divides in this district. But it is it

895
00:47:55,080 --> 00:47:57,279
Speaker 1: is very interesting now Quaar, for those of you guys

896
00:47:57,280 --> 00:48:01,400
Speaker 1: who don't know, not only is he pro life, uh

897
00:48:01,560 --> 00:48:04,400
Speaker 1: he supports you know, he's opposed to Roe versus Wade,

898
00:48:04,719 --> 00:48:08,080
Speaker 1: so he's culturally conservative on that issue. He also is

899
00:48:08,120 --> 00:48:12,279
Speaker 1: the only Democrat in the House to vote against the

900
00:48:12,320 --> 00:48:15,960
Speaker 1: pro act. So he's also anti union. He's very close

901
00:48:16,000 --> 00:48:18,680
Speaker 1: to big oil. He gets a lot of donations from

902
00:48:18,680 --> 00:48:21,080
Speaker 1: the oil and gas industry, which kind of like, you know,

903
00:48:21,280 --> 00:48:23,840
Speaker 1: given where his district is, that makes sense. He also

904
00:48:24,360 --> 00:48:27,360
Speaker 1: his office and his home was rated by the FBI

905
00:48:28,040 --> 00:48:34,960
Speaker 1: seemingly for some very questionable dealings with Azerbaijan. Yeah. Yeah,

906
00:48:35,120 --> 00:48:38,600
Speaker 1: he and his wife, she has some businesses. He's like

907
00:48:38,680 --> 00:48:42,000
Speaker 1: been the leader of the Friends of Azerbaijan caucus, as

908
00:48:42,040 --> 00:48:44,160
Speaker 1: one does anyway, and the FBI said they're not going

909
00:48:44,200 --> 00:48:46,800
Speaker 1: to clear before election day, so that also was looming

910
00:48:46,880 --> 00:48:50,920
Speaker 1: over this. Now, there was a lot of big money

911
00:48:51,000 --> 00:48:53,920
Speaker 1: that came in for Quaar from the places that we

912
00:48:53,960 --> 00:48:56,480
Speaker 1: have been seeing big money come in to try to

913
00:48:56,520 --> 00:49:01,960
Speaker 1: crush progressive candidates, in particular DMF Democrat majority for Israel

914
00:49:02,239 --> 00:49:05,680
Speaker 1: and what appears to be a sort of aligned superpack

915
00:49:05,840 --> 00:49:09,120
Speaker 1: backed by billionaire Reid Hoffman called the mainstream Democrats that

916
00:49:09,160 --> 00:49:11,719
Speaker 1: came in big for him in the final weeks. And

917
00:49:11,800 --> 00:49:15,560
Speaker 1: if indeed this less than two hundred vote margin holds,

918
00:49:16,040 --> 00:49:18,640
Speaker 1: that may have ultimately been the difference. Now, I do

919
00:49:18,719 --> 00:49:21,080
Speaker 1: want to say Saber, the other thing that's interesting here

920
00:49:21,640 --> 00:49:29,279
Speaker 1: is unions also despised Quaar. CWA in particular has a

921
00:49:29,320 --> 00:49:32,000
Speaker 1: beef with him, and so there was also union money

922
00:49:32,000 --> 00:49:34,400
Speaker 1: that came in on the side of Cisnaro, So she

923
00:49:34,560 --> 00:49:38,120
Speaker 1: did have some backup in terms of independent expenditures in

924
00:49:38,160 --> 00:49:42,320
Speaker 1: this thing. But it is as close as it possibly

925
00:49:42,320 --> 00:49:44,879
Speaker 1: could be right now. It looks like Quaar is going

926
00:49:44,920 --> 00:49:48,680
Speaker 1: to be able to narrowly hold on. But pretty extraordinary

927
00:49:48,760 --> 00:49:50,640
Speaker 1: dynamics here. Oh yeah, I mean this part of text.

928
00:49:50,719 --> 00:49:53,400
Speaker 1: I love this part of Texas that again so much history.

929
00:49:53,880 --> 00:49:56,160
Speaker 1: It really is kind of the last vestiges of like

930
00:49:56,160 --> 00:49:59,719
Speaker 1: the Frontier West in terms of how it works down there,

931
00:50:00,200 --> 00:50:02,160
Speaker 1: you know, in terms of the history. So just to

932
00:50:02,160 --> 00:50:04,680
Speaker 1: give people context, some of the counties here that we

933
00:50:04,719 --> 00:50:07,520
Speaker 1: talked a lot about back in twenty twenty Zapata County

934
00:50:07,560 --> 00:50:10,280
Speaker 1: in Star County. These are those South Texas border towns

935
00:50:10,560 --> 00:50:12,880
Speaker 1: which either went for Trump in the case of one

936
00:50:12,920 --> 00:50:15,640
Speaker 1: of them, or came within five points. So Joe Biden

937
00:50:15,680 --> 00:50:18,400
Speaker 1: only won Star County by about five points over Donald Trump,

938
00:50:18,560 --> 00:50:21,480
Speaker 1: even though Hillary won that by fifty eight points, so

939
00:50:21,880 --> 00:50:24,080
Speaker 1: a bit of a swing in terms of how it

940
00:50:24,160 --> 00:50:26,759
Speaker 1: worked down there. These are places where there really is

941
00:50:26,840 --> 00:50:30,160
Speaker 1: kind of an emerging gop ish coalition with a lot

942
00:50:30,200 --> 00:50:32,160
Speaker 1: of these voters. And I'm looking at the map and

943
00:50:32,160 --> 00:50:34,000
Speaker 1: it makes total sense the way that you broke it down,

944
00:50:34,000 --> 00:50:37,400
Speaker 1: which is that the Texas border counties came in for

945
00:50:37,520 --> 00:50:40,680
Speaker 1: Quaar at like seventy percent of the vote. I mean

946
00:50:40,719 --> 00:50:43,800
Speaker 1: talking to you know, Star County eighty percent, Quaar Zapata

947
00:50:44,040 --> 00:50:47,520
Speaker 1: eighty eight percent, Quaar Jim Hogg County seventy eight percent,

948
00:50:48,280 --> 00:50:52,240
Speaker 1: Jim Webb County seventy percent, Duval County sixty eight percent.

949
00:50:52,320 --> 00:50:56,160
Speaker 1: But then those surrounding more urban areas around San Antonio

950
00:50:56,239 --> 00:50:59,000
Speaker 1: came in equally hard for Cuscenaros. You know, the one

951
00:50:59,200 --> 00:51:03,279
Speaker 1: nearest Guadalou Bay County at ninety one percent, bex Are

952
00:51:03,440 --> 00:51:07,640
Speaker 1: at eighty five, at Atasca at sixty seven, and McCallin

953
00:51:07,840 --> 00:51:09,520
Speaker 1: at fifty two. That was a little bit more of

954
00:51:09,520 --> 00:51:12,520
Speaker 1: a split, but that just shows you just how different

955
00:51:12,560 --> 00:51:15,480
Speaker 1: the dynamics are. Even though, and this is what I

956
00:51:15,560 --> 00:51:19,760
Speaker 1: do love about Texas. This is a majority Hispanic district. Like, yeah,

957
00:51:19,800 --> 00:51:23,840
Speaker 1: most of these people are Hispanic, but culturally, if you

958
00:51:23,920 --> 00:51:26,920
Speaker 1: live near the city, you're more likely to be liberal. Culturally,

959
00:51:27,040 --> 00:51:30,080
Speaker 1: if you live down on the border town, you're more

960
00:51:30,080 --> 00:51:34,320
Speaker 1: of a Vacaro Texas mindset. So the type of cultural

961
00:51:34,400 --> 00:51:41,000
Speaker 1: difference between these two distinct Texans disproportionately likely to be Hispanic,

962
00:51:41,200 --> 00:51:43,520
Speaker 1: is just on display in the same way that it's

963
00:51:43,520 --> 00:51:46,680
Speaker 1: on display across the entire country, and it just splits

964
00:51:46,800 --> 00:51:49,360
Speaker 1: so hard. I think that's the Yeah, it really is

965
00:51:49,400 --> 00:51:53,560
Speaker 1: pretty fascinating. I think also for Quaar, he's just got

966
00:51:53,719 --> 00:51:58,759
Speaker 1: very deep roots in those border communities, and so I think,

967
00:51:58,880 --> 00:52:01,279
Speaker 1: you know, that certainly ulsters him in that area. I

968
00:52:01,320 --> 00:52:03,640
Speaker 1: was talking to our friend Colin Rahero, who's done a

969
00:52:03,640 --> 00:52:06,600
Speaker 1: lot of work in that region and is one of

970
00:52:06,640 --> 00:52:11,040
Speaker 1: the better Latino strategists on the Democratic side and was

971
00:52:11,080 --> 00:52:13,680
Speaker 1: actually doing some of the Union I ees in this

972
00:52:13,719 --> 00:52:15,839
Speaker 1: particular race, and I was asking him, you know, kind

973
00:52:15,840 --> 00:52:18,840
Speaker 1: of tell me about the typical voter in these border counties,

974
00:52:19,200 --> 00:52:22,440
Speaker 1: and he said, there do you tend to be obviously

975
00:52:22,480 --> 00:52:27,520
Speaker 1: more culturally conservative, but that's not necessary, like abortion isn't

976
00:52:27,520 --> 00:52:31,799
Speaker 1: necessarily the voting issue. But he said, you know, they

977
00:52:31,920 --> 00:52:34,799
Speaker 1: both are very are sort of pro worker rights and

978
00:52:34,880 --> 00:52:40,120
Speaker 1: pro labor, but also very business storient very entrepreneurial. So

979
00:52:40,440 --> 00:52:44,520
Speaker 1: it's just a different cultural dynamic than you're going to

980
00:52:44,560 --> 00:52:46,440
Speaker 1: find in almost any other part of the country and

981
00:52:46,440 --> 00:52:49,560
Speaker 1: then to see the divide in this district so clearly,

982
00:52:50,200 --> 00:52:52,479
Speaker 1: and that's why, you know, that's why it's so hard

983
00:52:52,480 --> 00:52:55,640
Speaker 1: to say definitively what's going to happen here. Also because

984
00:52:56,000 --> 00:52:59,040
Speaker 1: if there's another little pocket of voters in the San

985
00:52:59,040 --> 00:53:01,680
Speaker 1: Antonio suburbs when she went, then she wins. If the

986
00:53:01,719 --> 00:53:04,560
Speaker 1: remaining pocket of voters is down in Zapata County or

987
00:53:04,600 --> 00:53:07,200
Speaker 1: Star County, that's going to go overwhelmingly for Quair and

988
00:53:07,200 --> 00:53:09,440
Speaker 1: then he's going to have a more clear victory on

989
00:53:09,520 --> 00:53:12,120
Speaker 1: his hand. So that's why this one is still too

990
00:53:12,160 --> 00:53:14,799
Speaker 1: close to call here ultimately. But you know this is

991
00:53:14,840 --> 00:53:18,120
Speaker 1: also Quayar looks like he's going to pull it off.

992
00:53:18,280 --> 00:53:21,440
Speaker 1: But it is embarrassing for the Democratic establishment that they

993
00:53:21,480 --> 00:53:24,400
Speaker 1: go all in with this dude, Nancy Pelosi and Clybur

994
00:53:24,440 --> 00:53:27,719
Speaker 1: and they could barely i mean, their endorsement discounts for

995
00:53:27,880 --> 00:53:31,000
Speaker 1: less than nothing. Biden stay down at this race even

996
00:53:31,040 --> 00:53:33,760
Speaker 1: though he's endorsed South. They're like he endorsed Dorsta Kurtry

997
00:53:33,800 --> 00:53:35,960
Speaker 1: or my guess is because Biden's approval rating is so

998
00:53:36,040 --> 00:53:39,759
Speaker 1: dismal in the region that it probably probably wouldn't really

999
00:53:39,800 --> 00:53:42,000
Speaker 1: help Quayar, might not really be a benefit to him.

1000
00:53:42,000 --> 00:53:44,520
Speaker 1: He may have said, just like I got this, why

1001
00:53:44,560 --> 00:53:47,359
Speaker 1: don't you just go do your thing in Washington. I'm

1002
00:53:47,400 --> 00:53:51,120
Speaker 1: not sure it would have ultimately been useful, but definitely

1003
00:53:51,440 --> 00:53:53,960
Speaker 1: a fascinating race here on one. Absolutely, I can't wait

1004
00:53:54,000 --> 00:53:56,279
Speaker 1: to see more of it. I just I really do

1005
00:53:56,360 --> 00:53:58,600
Speaker 1: love this part of the country and it's fun to

1006
00:53:58,640 --> 00:54:03,000
Speaker 1: see it all play out. Okay, let's go ahead and

1007
00:54:03,080 --> 00:54:06,160
Speaker 1: move on. We'll talk about McCormick and Pennsylvania, and that's

1008
00:54:06,160 --> 00:54:09,000
Speaker 1: still too close, still too close to call. So let's

1009
00:54:09,000 --> 00:54:10,920
Speaker 1: go ahead and put this up there on the screen.

1010
00:54:10,960 --> 00:54:12,960
Speaker 1: We always go with local news whenever we can go.

1011
00:54:13,120 --> 00:54:16,680
Speaker 1: Eerie dot com love those guys. David McCormick's suing over

1012
00:54:16,800 --> 00:54:19,759
Speaker 1: counting mail ballots in the Pennsylvania Senate race. So this

1013
00:54:19,840 --> 00:54:23,520
Speaker 1: is the dispatch from Harrisonburg, PA. The campaign of McCormick,

1014
00:54:23,719 --> 00:54:28,560
Speaker 1: who is obviously very close and near recount territory or

1015
00:54:28,600 --> 00:54:32,000
Speaker 1: in recount territory in the race with doctor oz is

1016
00:54:32,080 --> 00:54:36,840
Speaker 1: suing and asking the state's Commonwealth Court to require counties

1017
00:54:37,080 --> 00:54:41,200
Speaker 1: to promptly count mail in ballots that lack a required

1018
00:54:41,360 --> 00:54:46,040
Speaker 1: handwritten date on the return envelope. This is a direct

1019
00:54:46,080 --> 00:54:50,319
Speaker 1: return crystal back to twenty twenty, back when there was

1020
00:54:50,360 --> 00:54:53,800
Speaker 1: a lot of consternation amongst senators who were not from

1021
00:54:53,840 --> 00:54:58,680
Speaker 1: Pennsylvania about Pennsylvania election law whether such ballots in them

1022
00:54:59,000 --> 00:55:02,799
Speaker 1: should be counted in it's kind of a significant I

1023
00:55:02,800 --> 00:55:07,919
Speaker 1: would say it is the most legitimate, and I say

1024
00:55:07,920 --> 00:55:10,880
Speaker 1: that in quotes part of the high IQ Stop the

1025
00:55:10,920 --> 00:55:13,160
Speaker 1: Steel movement. They're like, well, these ballots shouldn't have been

1026
00:55:13,160 --> 00:55:16,960
Speaker 1: counted all of this, and so the Pennsylvania GOP has

1027
00:55:17,000 --> 00:55:20,520
Speaker 1: made it really one of the cornerstones of They're like, no,

1028
00:55:20,600 --> 00:55:23,560
Speaker 1: we are not going to be allowing these ballots to

1029
00:55:23,560 --> 00:55:25,800
Speaker 1: be counted. Now. McCormick, because he's in the fight of

1030
00:55:25,840 --> 00:55:28,000
Speaker 1: his life, he's like, I don't care, you know now,

1031
00:55:28,040 --> 00:55:29,920
Speaker 1: it's good even though I still think the election was

1032
00:55:29,920 --> 00:55:32,239
Speaker 1: stolen for this very reason. You're going to go ahead

1033
00:55:32,239 --> 00:55:35,120
Speaker 1: and riddle me that one. But now the Pennsylvania GOP

1034
00:55:35,719 --> 00:55:39,680
Speaker 1: and the RNC are moving against David McCormick for this move.

1035
00:55:39,880 --> 00:55:41,680
Speaker 1: Let's put this up there on the screen because this

1036
00:55:41,719 --> 00:55:46,520
Speaker 1: is pretty important. The RNC is actually intervening against McCormick's

1037
00:55:46,520 --> 00:55:52,359
Speaker 1: campaign by saying that they are actually filing and insisting

1038
00:55:52,640 --> 00:55:55,560
Speaker 1: to make sure that these types of ballots are not counted,

1039
00:55:55,600 --> 00:56:01,440
Speaker 1: and they're doing that alongside the Pennsylvania GOP both condemning

1040
00:56:01,719 --> 00:56:04,480
Speaker 1: the move. I don't know how much legal ground they

1041
00:56:04,480 --> 00:56:07,319
Speaker 1: actually have, given that this is going to rely on

1042
00:56:07,360 --> 00:56:11,760
Speaker 1: the campaign lawsuit and ultimately is a decision from the

1043
00:56:11,800 --> 00:56:15,920
Speaker 1: Third US Circuit Court of Appeals. But in the meantime,

1044
00:56:16,040 --> 00:56:18,839
Speaker 1: those ballots are being set aside. So let us put

1045
00:56:18,880 --> 00:56:23,000
Speaker 1: this up there from Steve KORNACKI, the Pennsylvania Secretary of

1046
00:56:23,080 --> 00:56:26,720
Speaker 1: State is talan counties, you should count mail in ballots

1047
00:56:26,719 --> 00:56:30,480
Speaker 1: that were signed but not dated and set them aside

1048
00:56:30,560 --> 00:56:34,400
Speaker 1: for the time being, pending the results of the litigation.

1049
00:56:34,640 --> 00:56:36,080
Speaker 1: But I do think, you know, at the top of

1050
00:56:36,120 --> 00:56:39,400
Speaker 1: the line, Crystal, we don't know necessarily if these ballots

1051
00:56:39,800 --> 00:56:42,839
Speaker 1: will even come in for David McCormick, because I think

1052
00:56:42,840 --> 00:56:44,919
Speaker 1: this is a sign of desperation, which is that Look,

1053
00:56:44,960 --> 00:56:48,520
Speaker 1: with the current ones and you know, all the caveats,

1054
00:56:48,560 --> 00:56:51,680
Speaker 1: we still don't know recount, et cetera, OZ is still

1055
00:56:51,680 --> 00:56:54,000
Speaker 1: basically up by about a thousand votes. Yeah, and that's

1056
00:56:54,000 --> 00:56:57,120
Speaker 1: where things stand, right right. The big blow for McCormick,

1057
00:56:57,320 --> 00:57:01,920
Speaker 1: who overwhelmingly dominated ail and vote right but didn't do

1058
00:57:02,040 --> 00:57:04,840
Speaker 1: as well on election day was when some of the

1059
00:57:05,200 --> 00:57:08,600
Speaker 1: late election day ballots were counted in his home turf

1060
00:57:08,640 --> 00:57:13,360
Speaker 1: in Alleghany County and they actually boosted Oz by, you know,

1061
00:57:13,800 --> 00:57:16,600
Speaker 1: an even a little bit. And he was hoping that

1062
00:57:16,600 --> 00:57:19,600
Speaker 1: that batch of ballots would help to narrow the gap

1063
00:57:19,640 --> 00:57:21,720
Speaker 1: and then put him in play with these remaining mail

1064
00:57:21,760 --> 00:57:24,080
Speaker 1: in ballots and provisional ballots and all those sorts of things.

1065
00:57:24,120 --> 00:57:28,920
Speaker 1: So it's pretty interesting. You know, the court has already

1066
00:57:29,200 --> 00:57:32,360
Speaker 1: ruled that these type of undated ballots should be counted,

1067
00:57:32,800 --> 00:57:35,600
Speaker 1: so if they're consistent with what they've ruled in the past,

1068
00:57:35,760 --> 00:57:38,800
Speaker 1: you would think that McCormick would win on the legal merits.

1069
00:57:39,040 --> 00:57:41,280
Speaker 1: But as you're pointing out the bigger question, Heroes, if

1070
00:57:41,280 --> 00:57:44,280
Speaker 1: there are enough to actually catch him up to Oz,

1071
00:57:44,800 --> 00:57:48,960
Speaker 1: it's looking less likely that that will ultimately be the case. Here.

1072
00:57:49,360 --> 00:57:52,240
Speaker 1: The other thing that's interesting in this race is Trump

1073
00:57:52,360 --> 00:57:54,720
Speaker 1: was urging Oz, who was of course the candidate that

1074
00:57:54,760 --> 00:57:57,560
Speaker 1: he backed, to just go ahead and declare victory, right,

1075
00:57:57,840 --> 00:58:02,240
Speaker 1: and he didn't do that. McCormick hasn't done that. Good. Yeah, Actually,

1076
00:58:02,360 --> 00:58:04,520
Speaker 1: you know, I mean this is legitimate. If you have

1077
00:58:04,520 --> 00:58:08,160
Speaker 1: a legal challenge, you can work that through with the courts. Clearly,

1078
00:58:08,200 --> 00:58:11,240
Speaker 1: the RNC has decided to back the you know oz

1079
00:58:11,280 --> 00:58:14,880
Speaker 1: campaign on their side of this issue. But you know,

1080
00:58:15,000 --> 00:58:16,920
Speaker 1: working out through the courts. That's the way that this

1081
00:58:17,040 --> 00:58:19,640
Speaker 1: is supposed to work in a democracy. There's no like

1082
00:58:19,680 --> 00:58:23,280
Speaker 1: nefarious wrongdoing here, just question over interpretation of the ballots.

1083
00:58:23,280 --> 00:58:25,600
Speaker 1: As I said, I think the courts probably based on

1084
00:58:25,640 --> 00:58:27,160
Speaker 1: what they've ruled in the past, we'll fall on the

1085
00:58:27,160 --> 00:58:29,000
Speaker 1: side of mcormick. But we'll see how it plays out. Yeah,

1086
00:58:29,040 --> 00:58:31,640
Speaker 1: let's see how it goes. And I will say it this.

1087
00:58:31,760 --> 00:58:34,000
Speaker 1: I didn't think i'd praise these gentlemen, but thank you

1088
00:58:34,480 --> 00:58:37,280
Speaker 1: for not doing that and for not inflicting a wound

1089
00:58:37,400 --> 00:58:40,160
Speaker 1: upon the country to once again drag them through some

1090
00:58:40,720 --> 00:58:44,600
Speaker 1: stolen election nonsense which continues to plague US, although was

1091
00:58:44,640 --> 00:58:49,680
Speaker 1: rejected thankfully on primary day in the state of Georgia. Finally, okay,

1092
00:58:49,800 --> 00:58:52,760
Speaker 1: let's move on to some more of the deeper problems

1093
00:58:52,760 --> 00:58:55,920
Speaker 1: in American society to housing. Let's put this up there

1094
00:58:56,000 --> 00:59:00,720
Speaker 1: on the screen. This is very significant economic data. US

1095
00:59:00,920 --> 00:59:04,160
Speaker 1: new home sales have plunged to the lowest since the

1096
00:59:04,200 --> 00:59:08,240
Speaker 1: start of the pandemic. Now, the purchases of new single

1097
00:59:08,280 --> 00:59:12,680
Speaker 1: family homes have fallen by most since two thy thirteen,

1098
00:59:13,160 --> 00:59:17,160
Speaker 1: but the median house price continues to set a record

1099
00:59:17,360 --> 00:59:21,240
Speaker 1: as housing inventory is improving. I think there's only one

1100
00:59:21,360 --> 00:59:23,880
Speaker 1: culprit in this entire thing, Crystal, and that is the

1101
00:59:23,920 --> 00:59:27,040
Speaker 1: Federal Reserve. But the reason why that this matters is

1102
00:59:27,160 --> 00:59:29,280
Speaker 1: what did we all find out in two thousand and eight?

1103
00:59:29,560 --> 00:59:33,000
Speaker 1: It turns out the housing market is deeply financialized. And

1104
00:59:33,040 --> 00:59:35,560
Speaker 1: you can say whatever you want about Dodd Frank and

1105
00:59:35,800 --> 00:59:38,800
Speaker 1: all of that, it still continues to be massively financialized.

1106
00:59:38,840 --> 00:59:42,360
Speaker 1: Big money, big capital is moving in here. And actually

1107
00:59:42,640 --> 00:59:46,200
Speaker 1: the current rise in interest rates, while yes, it will

1108
00:59:46,280 --> 00:59:49,840
Speaker 1: slow the housing market, I mean, how much of this

1109
00:59:49,960 --> 00:59:53,439
Speaker 1: is basically going to guarantee that millennials will be a

1110
00:59:53,840 --> 00:59:57,280
Speaker 1: relative permanent rentier class. Because if you could not afford

1111
00:59:57,280 --> 01:00:00,720
Speaker 1: a home during the pandemic, which wh obviously they was

1112
01:00:00,760 --> 01:00:03,400
Speaker 1: crazy boomers were paying cash and all this stuff, but

1113
01:00:03,400 --> 01:00:05,680
Speaker 1: at least the interest rates were low. We're talking like

1114
01:00:05,760 --> 01:00:08,680
Speaker 1: two to three percent. How the hell are you supposed

1115
01:00:08,720 --> 01:00:12,040
Speaker 1: to do so when the interest rate is at five percent,

1116
01:00:12,160 --> 01:00:15,520
Speaker 1: which it was last week five point twenty five increase

1117
01:00:15,600 --> 01:00:18,520
Speaker 1: up from three, which is the single highest increase in

1118
01:00:18,560 --> 01:00:22,600
Speaker 1: the mortgage rate in modern American history. Yeah, and it's

1119
01:00:22,720 --> 01:00:25,040
Speaker 1: only going to look we all know inflation is going

1120
01:00:25,120 --> 01:00:27,320
Speaker 1: to be here now for years. It's for a variety

1121
01:00:27,320 --> 01:00:29,640
Speaker 1: of reasons, supply and all of that. And the only

1122
01:00:29,720 --> 01:00:32,200
Speaker 1: blunt instrument we have is the interest rate. I mean,

1123
01:00:32,240 --> 01:00:34,080
Speaker 1: what are they going to jacket up to eight percent

1124
01:00:34,440 --> 01:00:36,560
Speaker 1: in that environment? It's not going to be possible. If

1125
01:00:36,600 --> 01:00:38,240
Speaker 1: you are a young person out there and then mortgage

1126
01:00:38,320 --> 01:00:40,200
Speaker 1: rate is eight percent, I mean just say goodbye. Well,

1127
01:00:40,240 --> 01:00:43,600
Speaker 1: I mean you're you're like screwed either way, because if

1128
01:00:43,600 --> 01:00:46,640
Speaker 1: the housing market continues to be extremely hot, the prices

1129
01:00:46,680 --> 01:00:48,560
Speaker 1: continue to escalate, you can't afford that, and you can't

1130
01:00:48,600 --> 01:00:51,440
Speaker 1: afford it if they jack up the interest rates. Then,

1131
01:00:51,560 --> 01:00:53,080
Speaker 1: just to give you a sense of how much this

1132
01:00:53,160 --> 01:00:56,440
Speaker 1: matters in terms of your monthly mortgage payment, in April,

1133
01:00:56,440 --> 01:00:58,960
Speaker 1: the monthly mortgage payment on the typical home jumped to

1134
01:00:59,160 --> 01:01:02,120
Speaker 1: almost fifteen hundred dollars. That's assuming a thirty year fixtory

1135
01:01:02,160 --> 01:01:05,680
Speaker 1: mortgage with a twenty percent down payment. That's up thirty

1136
01:01:05,720 --> 01:01:09,320
Speaker 1: four percent since December and fifty three percent from just

1137
01:01:09,360 --> 01:01:13,000
Speaker 1: a year ago. So that's how much it matters these

1138
01:01:13,080 --> 01:01:14,880
Speaker 1: because it sounds like a little l is just lifted

1139
01:01:14,880 --> 01:01:18,600
Speaker 1: a couple no, no, no, has increased the monthly mortgage

1140
01:01:18,640 --> 01:01:23,520
Speaker 1: payment by fifty percent, So it makes a huge difference.

1141
01:01:23,680 --> 01:01:27,240
Speaker 1: And the housing market is actually what the FED is

1142
01:01:27,360 --> 01:01:31,320
Speaker 1: directly targeting because it is such a large percentage of

1143
01:01:31,320 --> 01:01:33,960
Speaker 1: the economy and because it is the one thing that

1144
01:01:34,440 --> 01:01:36,840
Speaker 1: these mortgage rate you know, are very sensitive to whatever

1145
01:01:36,880 --> 01:01:40,840
Speaker 1: the FED rate ultimately is. Whereas you know, the FED

1146
01:01:40,880 --> 01:01:44,600
Speaker 1: can't do anything about a supply chain crisis directly, so

1147
01:01:44,840 --> 01:01:47,360
Speaker 1: it's less likely to have as much of an impact there.

1148
01:01:47,840 --> 01:01:51,360
Speaker 1: There's some signs that, as opposed to previous times when

1149
01:01:51,400 --> 01:01:55,000
Speaker 1: the FED has tried to use the lifting interest rates

1150
01:01:55,000 --> 01:01:57,760
Speaker 1: to cool the housing market, there's some signs that there's

1151
01:01:57,760 --> 01:02:03,160
Speaker 1: a little bit of resistance here. More buyers say that

1152
01:02:03,280 --> 01:02:05,919
Speaker 1: they don't really care what the interest rate is. They've

1153
01:02:05,920 --> 01:02:08,040
Speaker 1: decided they want a home and that's that. Now, Ultimately,

1154
01:02:08,040 --> 01:02:09,560
Speaker 1: when the rubber meets the road and they're looking at

1155
01:02:09,600 --> 01:02:12,800
Speaker 1: their payments sorted them might change thing. But the other

1156
01:02:12,880 --> 01:02:16,520
Speaker 1: piece here is that so much of the housing stock

1157
01:02:16,680 --> 01:02:20,280
Speaker 1: is being snatched up by investors and by permanent capital

1158
01:02:20,640 --> 01:02:23,680
Speaker 1: that are less price sensitive that that also could make

1159
01:02:23,720 --> 01:02:28,000
Speaker 1: it more difficult to cool the hot housing market. Corporate

1160
01:02:28,040 --> 01:02:32,360
Speaker 1: and individual investors accounted for twenty one percent of home

1161
01:02:32,400 --> 01:02:35,920
Speaker 1: purchases in December. That's up from seventeen percent just a

1162
01:02:36,000 --> 01:02:40,360
Speaker 1: year earlier. So, as we've discussed before, the fact that

1163
01:02:40,400 --> 01:02:43,840
Speaker 1: you have permanent capital coming in in some cases buying

1164
01:02:43,960 --> 01:02:49,520
Speaker 1: up entire communities on mass and attempting to turn millennials

1165
01:02:49,600 --> 01:02:54,480
Speaker 1: and Zoomers into a permanent renter class has also contributed

1166
01:02:54,600 --> 01:02:58,400
Speaker 1: to just the complete inability of first time home buyers

1167
01:02:58,440 --> 01:03:01,200
Speaker 1: to get into this market. You know, it matters a lot.

1168
01:03:01,520 --> 01:03:02,880
Speaker 1: You guys know this. I mean, I don't have to

1169
01:03:02,920 --> 01:03:06,720
Speaker 1: explain this to you. But because asset prices have appreciated

1170
01:03:06,840 --> 01:03:08,880
Speaker 1: so rapidly and gone up and up and up in

1171
01:03:08,920 --> 01:03:12,680
Speaker 1: this country, really the only way to get your foot

1172
01:03:12,720 --> 01:03:16,320
Speaker 1: into that sort of stable middle class life is to

1173
01:03:16,440 --> 01:03:19,680
Speaker 1: be an asset owner, be a homeowner. And for the

1174
01:03:19,720 --> 01:03:22,439
Speaker 1: people who are locked out of that, that puts them

1175
01:03:22,520 --> 01:03:26,840
Speaker 1: on a lifetime path of precarity and never building their

1176
01:03:26,880 --> 01:03:30,440
Speaker 1: own wealth, but always lining the pockets of the landlord class.

1177
01:03:30,440 --> 01:03:33,120
Speaker 1: Oh absolutely, I mean I can't emphasize that enough, which

1178
01:03:33,160 --> 01:03:36,560
Speaker 1: is that you know boomers are flush with cash right now, yeah,

1179
01:03:36,680 --> 01:03:39,800
Speaker 1: or the ability to sell their houses, the ability to

1180
01:03:39,840 --> 01:03:43,320
Speaker 1: take loans based upon their assets on their stock portfolios

1181
01:03:43,360 --> 01:03:45,800
Speaker 1: which they're now being able to access. I mean, the

1182
01:03:45,880 --> 01:03:49,160
Speaker 1: amount of money that they have relative to most other

1183
01:03:49,240 --> 01:03:53,120
Speaker 1: young people in this country is is insane and astronomical,

1184
01:03:53,480 --> 01:03:55,840
Speaker 1: even when you compare how much money they had at

1185
01:03:55,880 --> 01:03:58,960
Speaker 1: that time in their lives versus how much money we

1186
01:03:59,040 --> 01:04:01,960
Speaker 1: have at this time in our life. So it's a

1187
01:04:02,040 --> 01:04:05,920
Speaker 1: very tough situation. And the worst thing is is what

1188
01:04:06,000 --> 01:04:09,240
Speaker 1: did we all learn from eight When the housing market flips,

1189
01:04:09,600 --> 01:04:13,040
Speaker 1: it takes it took what a decade twelve years to

1190
01:04:13,080 --> 01:04:15,320
Speaker 1: come back. I mean, if you're on the older side

1191
01:04:15,360 --> 01:04:18,520
Speaker 1: of millennials, you're like thirty five, thirty eight, something like that,

1192
01:04:19,000 --> 01:04:21,360
Speaker 1: I mean twelve years, like do you you're going to

1193
01:04:21,400 --> 01:04:23,080
Speaker 1: be fifty years old? Like that will mean that you

1194
01:04:23,200 --> 01:04:27,200
Speaker 1: literally will be nearing retirement without being able to buy

1195
01:04:27,280 --> 01:04:31,120
Speaker 1: a house. That's insane, and you'll have two basic depressions

1196
01:04:31,120 --> 01:04:34,800
Speaker 1: slash recessions that happened in your lifetime. And even when

1197
01:04:34,840 --> 01:04:37,360
Speaker 1: we were technically out of the recession in twenty twelve,

1198
01:04:37,400 --> 01:04:39,680
Speaker 1: I mean, I don't have to tell everybody who's watching

1199
01:04:39,720 --> 01:04:41,640
Speaker 1: this show. That is really when we started to get

1200
01:04:41,760 --> 01:04:45,400
Speaker 1: hollowed out twelve thirteen, fourteen fifteen, you know, the latter

1201
01:04:45,480 --> 01:04:48,600
Speaker 1: parts of the Obama administration, That is when the majority

1202
01:04:48,600 --> 01:04:50,680
Speaker 1: of the money was wrote, the last parts of the

1203
01:04:50,720 --> 01:04:54,200
Speaker 1: money that manufacturing more that we even had here was

1204
01:04:54,240 --> 01:04:58,400
Speaker 1: going away. So the current thing that we're looking at

1205
01:04:58,680 --> 01:05:00,880
Speaker 1: a downturn in the housing market, which is the real

1206
01:05:00,960 --> 01:05:03,080
Speaker 1: way only that you're going to be able to build wealth,

1207
01:05:03,440 --> 01:05:06,760
Speaker 1: combined with the decline in retirement portfolios and the stock

1208
01:05:06,800 --> 01:05:09,000
Speaker 1: market and all of that, which again you may not

1209
01:05:09,040 --> 01:05:10,760
Speaker 1: make money on the way up, but you will lose

1210
01:05:10,800 --> 01:05:13,200
Speaker 1: money on the way down because of the ripple effects

1211
01:05:13,480 --> 01:05:18,600
Speaker 1: in the economy. It's really bad. I even look at retailers, Crystal,

1212
01:05:18,640 --> 01:05:20,560
Speaker 1: We're looking at Target and Walmart. I mean, they're getting

1213
01:05:20,600 --> 01:05:23,960
Speaker 1: hammered because people are not spending money anymore. Like people

1214
01:05:24,200 --> 01:05:29,200
Speaker 1: just don't have disposable cash. And I see it everywhere

1215
01:05:29,360 --> 01:05:34,080
Speaker 1: every day I drive home. The gas station is you know,

1216
01:05:34,240 --> 01:05:36,680
Speaker 1: first it was four fifty, then it was four to

1217
01:05:36,760 --> 01:05:39,320
Speaker 1: seventy five. Now it's up to five to ten a gallon.

1218
01:05:39,440 --> 01:05:42,240
Speaker 1: Even here on the East coast. Yeah, if you hunt around,

1219
01:05:42,280 --> 01:05:44,320
Speaker 1: you can find some which aren't too bad. You know,

1220
01:05:44,360 --> 01:05:47,440
Speaker 1: in the Bay Area, in Menlo Park, California, the gas

1221
01:05:47,560 --> 01:05:49,920
Speaker 1: there's a gas station there was seven seventy five a gallon.

1222
01:05:50,160 --> 01:05:53,000
Speaker 1: I mean, that's crazy town. So when you consider the

1223
01:05:53,560 --> 01:05:58,880
Speaker 1: just dramatic reduction in disposable income that Americans are experiencing

1224
01:05:59,240 --> 01:06:01,560
Speaker 1: so on the way side, and then the inability to

1225
01:06:01,560 --> 01:06:04,080
Speaker 1: build wealth, we're looking at a very very bad picture. Oh,

1226
01:06:04,120 --> 01:06:07,120
Speaker 1: I think over the next decade unfortunately. Yeah, I think

1227
01:06:07,160 --> 01:06:10,320
Speaker 1: that's right. And you know, it'll be very difficult for

1228
01:06:10,400 --> 01:06:12,200
Speaker 1: the Federal Reserve wants to bring us in for a

1229
01:06:12,240 --> 01:06:14,920
Speaker 1: soft landing. That's going to be that's going to be

1230
01:06:14,920 --> 01:06:18,560
Speaker 1: almost impossible because I mean the tools they have are

1231
01:06:18,720 --> 01:06:22,000
Speaker 1: blunt tools. They are you know, there's a delayed response

1232
01:06:22,040 --> 01:06:25,320
Speaker 1: to them. So it's it's hard to see any path

1233
01:06:25,320 --> 01:06:27,280
Speaker 1: forward other than pay which the American people already know.

1234
01:06:27,320 --> 01:06:29,600
Speaker 1: I mean, we've been covering the numbers of seventy plus

1235
01:06:29,600 --> 01:06:32,800
Speaker 1: percent expecting a recession, saying the economy is on the

1236
01:06:32,840 --> 01:06:35,280
Speaker 1: wrong track, and feeling that they're getting a pay cut

1237
01:06:35,320 --> 01:06:39,280
Speaker 1: every single week. They know, so they're not yeah, exactly exactly,

1238
01:06:40,280 --> 01:06:43,360
Speaker 1: all right, So let's give you a little update on

1239
01:06:43,480 --> 01:06:47,720
Speaker 1: the former president's social media habits here. Obviously, he is

1240
01:06:47,800 --> 01:06:52,200
Speaker 1: no longer on Twitter as of today. However, he has

1241
01:06:52,280 --> 01:06:57,320
Speaker 1: apparently picked up his usage of his own social media platform,

1242
01:06:57,440 --> 01:07:00,840
Speaker 1: truth Social, which does actually seem to work now at least,

1243
01:07:00,840 --> 01:07:03,960
Speaker 1: so it has that going for it. And it's interesting.

1244
01:07:04,080 --> 01:07:06,160
Speaker 1: So let's go and put this up on the screen.

1245
01:07:06,240 --> 01:07:08,120
Speaker 1: It's interesting. The things that he's saying over there, you

1246
01:07:08,120 --> 01:07:10,720
Speaker 1: won't be shocked to learn. It's mostly like ranting about

1247
01:07:10,760 --> 01:07:15,920
Speaker 1: stop the steal, scolding mode. Brooks sharing a kind of

1248
01:07:15,960 --> 01:07:18,680
Speaker 1: a call for civil war. I'll read you. I'll read

1249
01:07:18,680 --> 01:07:20,360
Speaker 1: you that one. Just so you know, I'm not kind

1250
01:07:20,400 --> 01:07:23,720
Speaker 1: of taking this out of context. Uh. He shared this

1251
01:07:23,800 --> 01:07:28,040
Speaker 1: from an account is a very weird weird tweet. Shared

1252
01:07:28,040 --> 01:07:33,440
Speaker 1: this from an account called Maga king Sanosos. Is that

1253
01:07:33,480 --> 01:07:35,280
Speaker 1: a game of threat? It's no, it's a it's a

1254
01:07:35,360 --> 01:07:39,320
Speaker 1: marvel thing. It's a marvel thing. Okay, listen, guys, culturally clueless,

1255
01:07:39,320 --> 01:07:42,800
Speaker 1: you should just know that about me anyway. President of

1256
01:07:42,880 --> 01:07:46,600
Speaker 1: al Salvador apparently said that the most powerful country in

1257
01:07:46,600 --> 01:07:48,840
Speaker 1: the world was falling so fast, and something so big

1258
01:07:48,880 --> 01:07:51,640
Speaker 1: and powerful can't be destroyed. So quickly unless the enemy

1259
01:07:51,680 --> 01:07:56,400
Speaker 1: comes from within. In this Maga King account, person retruthed

1260
01:07:56,440 --> 01:08:03,240
Speaker 1: it terrible branding and said civil war, which Trump retweeted. Okay.

1261
01:08:04,160 --> 01:08:08,440
Speaker 1: He also tweeted at Moe Brooks. Can't do that, mo,

1262
01:08:09,240 --> 01:08:12,520
Speaker 1: after Brooks was caught trying to still sort of insinuate

1263
01:08:12,560 --> 01:08:15,880
Speaker 1: that he was endorsed by Trump. Okay, can't do that move. Yeah, Oh,

1264
01:08:15,960 --> 01:08:18,280
Speaker 1: I understand. Yell, we have some images. Why do we

1265
01:08:18,280 --> 01:08:20,040
Speaker 1: put that? But those up on that screen, on the screen,

1266
01:08:20,320 --> 01:08:23,120
Speaker 1: this is exactly how cringe truth social looks. Yeah, you

1267
01:08:23,120 --> 01:08:26,120
Speaker 1: can see the weird civil war call that's up in

1268
01:08:26,120 --> 01:08:28,519
Speaker 1: the top left. The top left one at least on

1269
01:08:28,560 --> 01:08:31,760
Speaker 1: our screen is still talking about just small This was

1270
01:08:31,760 --> 01:08:35,200
Speaker 1: about January sixth thing. So he says free the January

1271
01:08:35,240 --> 01:08:38,320
Speaker 1: sixth political prisoners reminder. Just small Lett is a freeman.

1272
01:08:38,439 --> 01:08:41,479
Speaker 1: Alec Baldwin is a freeman. Hunter Biden is a freeman.

1273
01:08:41,960 --> 01:08:44,200
Speaker 1: But grandmother who took selfies in the capital is in

1274
01:08:44,280 --> 01:08:46,880
Speaker 1: jail without bail. So it gives you a little window

1275
01:08:46,920 --> 01:08:50,559
Speaker 1: there into what his obsessions continue to be. You've got

1276
01:08:50,560 --> 01:08:53,920
Speaker 1: some ranting about Twitter. He said Twitter's in big trouble,

1277
01:08:53,920 --> 01:08:56,679
Speaker 1: has lost all credibility is unlikely to see Elon Musk

1278
01:08:56,720 --> 01:08:59,280
Speaker 1: close his ridiculous deal with them, after having learned so

1279
01:08:59,360 --> 01:09:01,840
Speaker 1: much about the number of boughts and fake accounts, etc.

1280
01:09:02,439 --> 01:09:04,920
Speaker 1: He doesn't want Elon to buy Twitter because that would

1281
01:09:04,920 --> 01:09:08,800
Speaker 1: mean that his entire social media company is irrelevant. Yes,

1282
01:09:08,960 --> 01:09:11,160
Speaker 1: and here's a fun one from this morning, Crystal. He's

1283
01:09:11,200 --> 01:09:13,000
Speaker 1: trying to spin a bunch of the losses that he

1284
01:09:13,040 --> 01:09:15,000
Speaker 1: suffered in terms of his endorsements. Oh you've got a

1285
01:09:15,040 --> 01:09:17,960
Speaker 1: new one, Yeah, brand new just three minutes ago, a

1286
01:09:18,080 --> 01:09:21,839
Speaker 1: very big and successful evening of political endorsements. All wins

1287
01:09:21,960 --> 01:09:25,640
Speaker 1: in Texas thirty three and oh Arkansas and Alabama, a

1288
01:09:25,680 --> 01:09:29,840
Speaker 1: great new senatorial candidate, and others in Georgia. Others in Georgia.

1289
01:09:29,880 --> 01:09:34,960
Speaker 1: Overall for the cycle in quotes, one hundred wins, six losses,

1290
01:09:35,000 --> 01:09:37,720
Speaker 1: some of which were not possible to win, and two runoffs.

1291
01:09:37,840 --> 01:09:41,559
Speaker 1: Thank you, congratulations to all. That's an interesting way of

1292
01:09:41,600 --> 01:09:45,320
Speaker 1: spinning one of the most humiliating losses so far in

1293
01:09:45,400 --> 01:09:48,760
Speaker 1: the state of Georgia. Sure herschel Walker won, but I

1294
01:09:48,800 --> 01:09:51,200
Speaker 1: mean it's just so funny, you know. Returning to the

1295
01:09:51,240 --> 01:09:53,479
Speaker 1: Brian Kemp thing, he literally said that he only had

1296
01:09:53,520 --> 01:09:56,799
Speaker 1: one goal, which was to defeat Brian Kemp and Liz Cheney,

1297
01:09:57,080 --> 01:09:59,200
Speaker 1: and he was like, I know where I'll be two

1298
01:09:59,240 --> 01:10:02,519
Speaker 1: years from now, to be here in Georgia campaigning against

1299
01:10:02,560 --> 01:10:05,080
Speaker 1: your governor? How do that work? Also have has chance

1300
01:10:05,120 --> 01:10:10,160
Speaker 1: to survive? Maybe it's unclear. I will say there Wyoming

1301
01:10:10,200 --> 01:10:13,000
Speaker 1: GOP has very much turned against her. She doesn't have

1302
01:10:13,040 --> 01:10:15,519
Speaker 1: the same level of institutional backing. Yeah, you know, there's

1303
01:10:15,880 --> 01:10:18,599
Speaker 1: a lot of the RGA that Republican governances. She actually

1304
01:10:18,640 --> 01:10:21,880
Speaker 1: did back Trump. But I think what is really important

1305
01:10:21,880 --> 01:10:25,120
Speaker 1: about this is, yeah, it's funny and we're amused and

1306
01:10:25,160 --> 01:10:28,080
Speaker 1: we're laughing, but did you hear about it? Not really?

1307
01:10:28,120 --> 01:10:31,960
Speaker 1: And the reason why is he's just become increasingly irrelevant

1308
01:10:32,040 --> 01:10:35,080
Speaker 1: to a lot of our national conversation. There was a time,

1309
01:10:35,160 --> 01:10:38,479
Speaker 1: Crystal when the Civil War retweet would have been like

1310
01:10:38,800 --> 01:10:42,040
Speaker 1: you know how many think pieces New York Times and

1311
01:10:42,200 --> 01:10:46,320
Speaker 1: MSNBC about that. Everyone's just like, eh, whatever we got.

1312
01:10:46,520 --> 01:10:48,040
Speaker 1: The life is moving on. I thought there was a

1313
01:10:48,040 --> 01:10:52,760
Speaker 1: good analysis of kind of the state of Trump influence

1314
01:10:53,800 --> 01:10:56,719
Speaker 1: from Financial Times. Gun put this up on the screen.

1315
01:10:56,760 --> 01:10:59,599
Speaker 1: They say, this is not an obituary of Donald Trump.

1316
01:10:59,640 --> 01:11:01,479
Speaker 1: He's still has a plausible shot at becoming the first

1317
01:11:01,479 --> 01:11:03,960
Speaker 1: ex president to be re elected since Grover Cleveland in

1318
01:11:04,000 --> 01:11:07,600
Speaker 1: eighteen ninety two. But politics is about momentum, and the

1319
01:11:07,760 --> 01:11:11,320
Speaker 1: energy behind Trump is dissipating. The bad news for Trump's

1320
01:11:11,360 --> 01:11:14,360
Speaker 1: detractors is that his magabase is not fading. The Kraken

1321
01:11:14,439 --> 01:11:17,000
Speaker 1: lives on it, just no longer shows such deference to

1322
01:11:17,040 --> 01:11:19,680
Speaker 1: the man in mar A Lago. Trump's handicap is that

1323
01:11:19,720 --> 01:11:22,040
Speaker 1: he's obsessed with one issue, that he was cheated by

1324
01:11:22,120 --> 01:11:24,240
Speaker 1: Joe Biden of his rightful election victory in twenty twenty.

1325
01:11:24,439 --> 01:11:26,479
Speaker 1: Most Republican voters share in that belief, which is a

1326
01:11:26,479 --> 01:11:29,880
Speaker 1: litmus test for candidates. Yet the stolen election myth is

1327
01:11:29,920 --> 01:11:32,880
Speaker 1: their politics starting point, not as be all and end all.

1328
01:11:33,000 --> 01:11:36,519
Speaker 1: By confining himself to ringed elections, Trump is forgetting magus

1329
01:11:36,600 --> 01:11:40,599
Speaker 1: animating spirit, which is hatred of America's cultural elites, which

1330
01:11:40,640 --> 01:11:42,920
Speaker 1: I thought was very well said. And I was thinking

1331
01:11:42,920 --> 01:11:45,160
Speaker 1: about this with regards to social media, because on the

1332
01:11:45,200 --> 01:11:47,840
Speaker 1: one hand, Trump being off Twitter has been great for

1333
01:11:47,920 --> 01:11:50,280
Speaker 1: him because it has allowed the broader public to kind

1334
01:11:50,280 --> 01:11:53,800
Speaker 1: of forget what an obnoxious, like shit disturbing asshole he

1335
01:11:53,920 --> 01:11:56,680
Speaker 1: is on a daily basis, and so that has kind

1336
01:11:56,720 --> 01:11:59,680
Speaker 1: of smoothed some of the rough edges, allowed people to

1337
01:11:59,720 --> 01:12:01,800
Speaker 1: look back at his time in office with a little

1338
01:12:01,800 --> 01:12:04,680
Speaker 1: bit of rose colored glasses and forget just what it

1339
01:12:04,760 --> 01:12:08,640
Speaker 1: was like every single day. On the other hand, because

1340
01:12:09,000 --> 01:12:13,360
Speaker 1: his superpower was always being able to control those media cycles,

1341
01:12:13,680 --> 01:12:16,479
Speaker 1: get attention, make all the people that are the most

1342
01:12:16,520 --> 01:12:19,519
Speaker 1: hated people in the country lose their minds on daily basis,

1343
01:12:19,560 --> 01:12:24,200
Speaker 1: total symbiotic relationship. The loss of that power, I think

1344
01:12:24,240 --> 01:12:28,360
Speaker 1: has mattered in terms of the extent of his hold

1345
01:12:28,560 --> 01:12:32,040
Speaker 1: on the Republican base. He's still extremely popular, He's still

1346
01:12:32,040 --> 01:12:34,800
Speaker 1: the overwhelming favorite to win the Republican nomination, there's no

1347
01:12:34,880 --> 01:12:37,519
Speaker 1: doubt about it. But you know, if he had been

1348
01:12:37,560 --> 01:12:40,400
Speaker 1: continuing to drive news cycles in the same way in

1349
01:12:40,439 --> 01:12:42,840
Speaker 1: the run up to Georgia, in the run up to

1350
01:12:42,960 --> 01:12:45,559
Speaker 1: Alabama and the run up to these other races, the

1351
01:12:45,640 --> 01:12:48,400
Speaker 1: result might have tilted more in his favor. There may

1352
01:12:48,439 --> 01:12:52,240
Speaker 1: have been more loyalty towards him from the magabase and

1353
01:12:52,400 --> 01:12:55,120
Speaker 1: less willingness to kind of track their own, you know,

1354
01:12:55,200 --> 01:12:57,519
Speaker 1: chart their own route. Oh absolutely, And we see this

1355
01:12:57,560 --> 01:12:59,880
Speaker 1: too in the gubernatorial primaries. To put it up there,

1356
01:13:00,160 --> 01:13:03,720
Speaker 1: Donald Trump endorsed primary candidate has now lost the gubernatorial

1357
01:13:03,760 --> 01:13:06,440
Speaker 1: for the third week in a row. Herbster lost in Nebraska,

1358
01:13:06,560 --> 01:13:11,200
Speaker 1: Janice McGee last Tuesday, and David Perdue lose tonight in

1359
01:13:11,240 --> 01:13:14,400
Speaker 1: the state of Georgia. So his hold on everything. Look,

1360
01:13:14,520 --> 01:13:17,000
Speaker 1: you know, he don't exaggerate and say he has no power,

1361
01:13:17,080 --> 01:13:21,000
Speaker 1: but the power that he once had certainly does not exist. Okay,

1362
01:13:21,360 --> 01:13:24,080
Speaker 1: let's move on to the fun segment. Yes, indeed, so

1363
01:13:24,200 --> 01:13:26,640
Speaker 1: it is now official. Go ahead and put this up

1364
01:13:26,640 --> 01:13:28,280
Speaker 1: on the screen. You guys have been waiting for this.

1365
01:13:28,360 --> 01:13:32,160
Speaker 1: I know you're excited. Jen Saki announces she is thrilled

1366
01:13:32,200 --> 01:13:36,000
Speaker 1: to join the incredible MSNBC family this fall, breaking down

1367
01:13:36,040 --> 01:13:37,960
Speaker 1: the facts and getting to the bottom of what is

1368
01:13:38,000 --> 01:13:40,240
Speaker 1: driving the issues that matter most of people. Saga in

1369
01:13:40,280 --> 01:13:43,680
Speaker 1: this country has never been more important. Go ahead and

1370
01:13:43,680 --> 01:13:45,240
Speaker 1: put the New York Times tear sheet up on the

1371
01:13:45,280 --> 01:13:48,719
Speaker 1: screen as well. The details here, none of this obviously surprising.

1372
01:13:49,080 --> 01:13:53,280
Speaker 1: She's going to be a host and a commentator. I

1373
01:13:53,280 --> 01:13:55,720
Speaker 1: think she's gonna be hosting a streaming show that is

1374
01:13:55,760 --> 01:14:01,360
Speaker 1: expected to launch next year. So not right away. I mean, listen,

1375
01:14:01,520 --> 01:14:05,000
Speaker 1: there's a few things to say about this. I mean, overwhelmingly,

1376
01:14:05,080 --> 01:14:08,400
Speaker 1: this continues the trend of former Biden officials going on

1377
01:14:08,479 --> 01:14:12,559
Speaker 1: and waltzing over to MSNBC, a network that you know,

1378
01:14:12,880 --> 01:14:16,639
Speaker 1: used to complain about the sort of revolving story between

1379
01:14:17,360 --> 01:14:19,559
Speaker 1: two which was true, which is true and fair, but

1380
01:14:19,600 --> 01:14:21,880
Speaker 1: also applies here as well. I would be very shocked

1381
01:14:21,920 --> 01:14:24,360
Speaker 1: if I saw Jen Saki or Simone Sanders really taking

1382
01:14:24,360 --> 01:14:28,320
Speaker 1: a hard line with regards to any Biden administration decisions ultimately,

1383
01:14:28,840 --> 01:14:31,719
Speaker 1: and you know, they join a sort of predictable course

1384
01:14:31,800 --> 01:14:35,520
Speaker 1: of voices from that network defending any and all Democratic

1385
01:14:35,680 --> 01:14:40,120
Speaker 1: establishment party actions. And that's frankly why their ratings are

1386
01:14:40,520 --> 01:14:43,960
Speaker 1: so bad, because it's just boring. It's predictable, it's not interesting.

1387
01:14:44,000 --> 01:14:46,240
Speaker 1: If you wanted to hear what the Biden administration line was,

1388
01:14:46,240 --> 01:14:48,479
Speaker 1: you could go directly to the like Joe Biden Twitter

1389
01:14:48,520 --> 01:14:51,760
Speaker 1: account or to his officially hired hands there in the

1390
01:14:51,760 --> 01:14:53,439
Speaker 1: White House to know it. But they give the game away.

1391
01:14:53,439 --> 01:14:55,400
Speaker 1: In the New York Times story, they say that miss

1392
01:14:56,080 --> 01:14:59,720
Speaker 1: Saki is popular with Democrats and left leaning voters, and

1393
01:14:59,760 --> 01:15:03,600
Speaker 1: that she bade semblance to Rachel Maddow and to Nicole

1394
01:15:03,760 --> 01:15:07,320
Speaker 1: Wallace and love of its current viewers. Their current viewers

1395
01:15:07,439 --> 01:15:11,000
Speaker 1: love Jen Saki, and I also love I I just

1396
01:15:11,000 --> 01:15:15,120
Speaker 1: want to say about that though, like, I very seriously

1397
01:15:15,200 --> 01:15:19,160
Speaker 1: doubt that that love actually translates though into ratings, like

1398
01:15:19,720 --> 01:15:22,160
Speaker 1: you know, actual sort of political fo They love her

1399
01:15:22,240 --> 01:15:24,559
Speaker 1: up there, like giving it to Peter Doocy or whatever,

1400
01:15:25,080 --> 01:15:27,320
Speaker 1: but does she have an actual following? And this is

1401
01:15:27,360 --> 01:15:31,120
Speaker 1: what they get confused about. We've already had Jensaki as

1402
01:15:31,200 --> 01:15:35,320
Speaker 1: this is not her first go round as political commentatorn previously,

1403
01:15:35,760 --> 01:15:38,519
Speaker 1: and she was not un special. She wasn't like a

1404
01:15:38,520 --> 01:15:40,800
Speaker 1: fan fave, She didn't have any of those big like

1405
01:15:40,920 --> 01:15:43,720
Speaker 1: viral moments or anything. They certainly didn't see her as

1406
01:15:43,960 --> 01:15:48,519
Speaker 1: a potential future host of a show. So you know, Rachel,

1407
01:15:48,600 --> 01:15:51,519
Speaker 1: for all of her many faults, has a real following

1408
01:15:51,520 --> 01:15:53,479
Speaker 1: of people that show up for her. Will Jensaki be

1409
01:15:53,520 --> 01:15:55,560
Speaker 1: the same? I seriously doubt it, and they know that,

1410
01:15:55,600 --> 01:15:57,320
Speaker 1: which is why they're putting her on the streaming channel

1411
01:15:57,320 --> 01:15:58,840
Speaker 1: instead of the real nowe I think that that was

1412
01:15:58,880 --> 01:16:00,320
Speaker 1: the other point I was going to make though, which

1413
01:16:00,360 --> 01:16:02,720
Speaker 1: is that in her streaming debut and this is what

1414
01:16:02,760 --> 01:16:05,679
Speaker 1: I really love. Obviously, they're just going to hide how

1415
01:16:05,760 --> 01:16:08,559
Speaker 1: terrible her show is going to do on Peacock, as

1416
01:16:08,600 --> 01:16:10,880
Speaker 1: we've seen with Mady Hassen's show and others. They never

1417
01:16:10,960 --> 01:16:13,920
Speaker 1: tell you what the actual ratings of these things are,

1418
01:16:13,960 --> 01:16:16,360
Speaker 1: and it's because it's all fake. And even whenever they

1419
01:16:16,360 --> 01:16:20,120
Speaker 1: do count views, it's probably me scrolling past it, you know,

1420
01:16:20,200 --> 01:16:23,360
Speaker 1: on the Peacock app trying to get to the office

1421
01:16:23,400 --> 01:16:27,040
Speaker 1: super fan episodes or whatever, or be like where's Yellowstone. No,

1422
01:16:27,120 --> 01:16:29,880
Speaker 1: I don't mean MSNBC show to go and try and

1423
01:16:29,920 --> 01:16:32,679
Speaker 1: find it. And you can see in here she says

1424
01:16:32,720 --> 01:16:36,680
Speaker 1: that her show will be fact based, in thoughtful conversations

1425
01:16:36,720 --> 01:16:39,719
Speaker 1: about the big questions on the minds of the people

1426
01:16:39,760 --> 01:16:42,440
Speaker 1: across the country. You say what you will about Jensaki.

1427
01:16:42,520 --> 01:16:45,720
Speaker 1: I think having fact based and thoughtful conversation is not

1428
01:16:45,840 --> 01:16:48,040
Speaker 1: something that she was known for. I actually will say this.

1429
01:16:48,160 --> 01:16:49,800
Speaker 1: I thought she was okay at her job, you know,

1430
01:16:49,960 --> 01:16:53,479
Speaker 1: not bad. She part parried in par you know, was

1431
01:16:53,520 --> 01:16:56,639
Speaker 1: par for the course in terms of pushing people back

1432
01:16:56,840 --> 01:16:59,679
Speaker 1: and you know, hitting back with the Biden talking points.

1433
01:16:59,880 --> 01:17:03,760
Speaker 1: Being a good paid propagandist is actually probably the opposite

1434
01:17:03,800 --> 01:17:06,360
Speaker 1: of what it should be whenever you're on television. I mean,

1435
01:17:06,600 --> 01:17:08,280
Speaker 1: you and I take a lot of pride in really

1436
01:17:08,680 --> 01:17:12,519
Speaker 1: taking independent stances and really looking into nuance and trying

1437
01:17:12,560 --> 01:17:14,680
Speaker 1: to say like, okay, like here's what I think and

1438
01:17:14,680 --> 01:17:16,840
Speaker 1: it's based upon this, and here's my thought process, and

1439
01:17:16,840 --> 01:17:19,000
Speaker 1: we bounce it off of each other. I'm not saying

1440
01:17:19,000 --> 01:17:21,759
Speaker 1: that isn't unique or so that doesn't I'm not saying

1441
01:17:21,760 --> 01:17:25,639
Speaker 1: that that is present on cable at all. But casting

1442
01:17:25,680 --> 01:17:28,720
Speaker 1: yourself as fact based thoppful conversation, it's the opposite of

1443
01:17:28,760 --> 01:17:31,080
Speaker 1: the truth. That's actually an interesting point. I do want

1444
01:17:31,120 --> 01:17:33,360
Speaker 1: to say, medi is the only one who says anything

1445
01:17:33,600 --> 01:17:36,640
Speaker 1: that sort of diverges from the Democratic establishment line. I

1446
01:17:36,640 --> 01:17:38,559
Speaker 1: don't think it's an accident that they bury him over

1447
01:17:38,560 --> 01:17:41,800
Speaker 1: there on Peacock. But in terms of Jen Soake and

1448
01:17:41,840 --> 01:17:47,400
Speaker 1: Simone Sanders, being the paid spokesperson to recite the talking

1449
01:17:47,439 --> 01:17:50,439
Speaker 1: points of your boss is actually the polar opposite of

1450
01:17:50,479 --> 01:17:54,120
Speaker 1: the job of should be It should be, yeah, But

1451
01:17:54,280 --> 01:17:57,879
Speaker 1: in terms of being interesting and compelling how people understand

1452
01:17:57,920 --> 01:17:59,760
Speaker 1: the truth of what's going on, it really is a

1453
01:17:59,760 --> 01:18:02,840
Speaker 1: po or opposite skill. So I think I'd be very

1454
01:18:02,960 --> 01:18:06,080
Speaker 1: bad at the White House Frex secretary job because I'm

1455
01:18:06,080 --> 01:18:08,920
Speaker 1: not used to having to like memorize what I'm supposed

1456
01:18:08,960 --> 01:18:11,000
Speaker 1: to think and what I'm supposed to say, and not

1457
01:18:11,120 --> 01:18:14,960
Speaker 1: go into areas that are controversial or uncomfortable Rihanna Joy

1458
01:18:14,960 --> 01:18:17,959
Speaker 1: Gray and I've talked to her about serving as Preety secretary,

1459
01:18:17,960 --> 01:18:20,200
Speaker 1: even for Bernie Sanders, someone who's agenda, she was like

1460
01:18:20,280 --> 01:18:22,719
Speaker 1: all the way on board with it. Was a difficult

1461
01:18:22,720 --> 01:18:24,880
Speaker 1: skill for her because she's so used to it. She

1462
01:18:24,960 --> 01:18:29,720
Speaker 1: was speaking her mind, I know. And so it is

1463
01:18:29,760 --> 01:18:35,880
Speaker 1: a very different skill being the capable spock versus being

1464
01:18:35,960 --> 01:18:42,120
Speaker 1: the analyst who has something interesting, different, potentially controversial to

1465
01:18:42,200 --> 01:18:44,920
Speaker 1: say that the audience is going to find worthwhile to

1466
01:18:44,960 --> 01:18:47,400
Speaker 1: show up for. So I can't imagine. I mean, maybe

1467
01:18:47,400 --> 01:18:49,519
Speaker 1: you were actually a candidate, but because you were speaking

1468
01:18:49,560 --> 01:18:51,920
Speaker 1: for yourself, so it's different. Like I'm mean, you know,

1469
01:18:52,000 --> 01:18:53,120
Speaker 1: like even if there's a there are a lot of

1470
01:18:53,120 --> 01:18:55,400
Speaker 1: politicians I agree with somewhat, but I could never be like, hey,

1471
01:18:55,400 --> 01:18:57,679
Speaker 1: he's never done a single wrong thing in his life.

1472
01:18:57,760 --> 01:18:59,360
Speaker 1: I'd be like, yeah, that's a good point, you know,

1473
01:19:00,120 --> 01:19:03,320
Speaker 1: I don't have it hit me. Yeah, no one else, Yeah, exactly,

1474
01:19:03,439 --> 01:19:05,600
Speaker 1: No one is. And you're never also going to be

1475
01:19:05,800 --> 01:19:10,479
Speaker 1: one hundred percent a politician on every single issue and

1476
01:19:10,560 --> 01:19:12,840
Speaker 1: everything that thing they think in every single way that

1477
01:19:12,840 --> 01:19:15,559
Speaker 1: they want you to say and spin it. So that's

1478
01:19:15,600 --> 01:19:18,879
Speaker 1: one skill, being able to sort of imbibe the briefing

1479
01:19:18,920 --> 01:19:21,559
Speaker 1: book and be able to regurgitate it without getting yourself

1480
01:19:21,680 --> 01:19:24,840
Speaker 1: or your boss into trouble. It doesn't make for a

1481
01:19:24,960 --> 01:19:27,840
Speaker 1: very interesting or compelling TV. That's why terrible when we

1482
01:19:27,920 --> 01:19:31,120
Speaker 1: used to have campaign representatives on, like like this is

1483
01:19:31,439 --> 01:19:36,040
Speaker 1: Moore is so uninteresting? And so the job for Jensaki

1484
01:19:36,080 --> 01:19:39,519
Speaker 1: previously was basically to be uninteresting. And I have a

1485
01:19:39,520 --> 01:19:41,680
Speaker 1: feeling that she's going to have trouble breaking out of

1486
01:19:41,720 --> 01:19:44,639
Speaker 1: those uninteresting checkles. Yeah. I mean we anytime we would

1487
01:19:44,640 --> 01:19:46,519
Speaker 1: talk to those Trump campaign people, I was like, this

1488
01:19:46,560 --> 01:19:49,519
Speaker 1: is useless. He feels like a wasted just so behind

1489
01:19:49,560 --> 01:19:52,080
Speaker 1: the scenes, the hell really liked those segments. I hated

1490
01:19:52,120 --> 01:19:54,800
Speaker 1: doing them. Yeah, and it's because every once in a

1491
01:19:54,800 --> 01:19:57,599
Speaker 1: while it was interesting. I will never forget the very

1492
01:19:57,640 --> 01:20:01,200
Speaker 1: last one with Steve Cortes where we arguing about whether

1493
01:20:01,760 --> 01:20:05,240
Speaker 1: Trump said very fine people. This was like two days

1494
01:20:05,240 --> 01:20:07,439
Speaker 1: before the election. He brought up he brought up, bring

1495
01:20:07,479 --> 01:20:10,600
Speaker 1: it up, Wait you want to litigate this? And I

1496
01:20:10,720 --> 01:20:13,320
Speaker 1: was like, I was like, I remember I asked. I

1497
01:20:13,360 --> 01:20:15,519
Speaker 1: was like, dude, is this really what you want to

1498
01:20:15,560 --> 01:20:19,000
Speaker 1: talk about the day before the election, and the answer

1499
01:20:19,080 --> 01:20:21,160
Speaker 1: is yes, it was a harbinger by the way, I've

1500
01:20:21,200 --> 01:20:24,439
Speaker 1: stop this deal of the most you know, just being

1501
01:20:24,479 --> 01:20:27,680
Speaker 1: obsessed with ah you know, oh, he didn't say it

1502
01:20:27,720 --> 01:20:30,280
Speaker 1: the way that you're like, guys, that's is that what

1503
01:20:30,320 --> 01:20:34,479
Speaker 1: the election is about? Really? Really? But apparently yes, that's

1504
01:20:34,479 --> 01:20:37,000
Speaker 1: what they ended up going with. And actually, you know, look,

1505
01:20:37,040 --> 01:20:40,040
Speaker 1: no disrespect Steve or many of the other people. None

1506
01:20:40,040 --> 01:20:42,479
Speaker 1: of these people are particularly good at TV. I think

1507
01:20:42,520 --> 01:20:45,880
Speaker 1: the only one who's fine is Bannon. But you know,

1508
01:20:45,920 --> 01:20:48,920
Speaker 1: Bannon's always always kind of been a renegade war room

1509
01:20:49,000 --> 01:20:51,120
Speaker 1: and all that. He does definitely have his own thought.

1510
01:20:51,160 --> 01:20:54,040
Speaker 1: He's a Trump sycophant in that he never criticizes him,

1511
01:20:54,040 --> 01:20:56,760
Speaker 1: but he also elevates people who go against Trump all

1512
01:20:56,880 --> 01:20:59,720
Speaker 1: the time, and he has his own legitimate agenda. So

1513
01:21:00,160 --> 01:21:02,799
Speaker 1: that is probably the only one of them, just because

1514
01:21:03,000 --> 01:21:06,040
Speaker 1: he was himself already a media figure long before he

1515
01:21:06,080 --> 01:21:08,160
Speaker 1: ever even went to go work. He's for Trump. He's

1516
01:21:08,160 --> 01:21:10,840
Speaker 1: one of these people that like, like I think with

1517
01:21:10,960 --> 01:21:13,000
Speaker 1: Mo Brooks, but in some of these races where he

1518
01:21:13,080 --> 01:21:15,559
Speaker 1: feels like Trump made the wrong and he'll say it,

1519
01:21:15,600 --> 01:21:17,800
Speaker 1: he'll say it, but it's always couched in this like

1520
01:21:17,840 --> 01:21:22,720
Speaker 1: all these people around Trump, He's making his own decisions here,

1521
01:21:22,800 --> 01:21:25,679
Speaker 1: come on, Like, but it never it's never Trump's fault.

1522
01:21:25,680 --> 01:21:28,640
Speaker 1: It's always the nefarious goball around Trump that's steering him

1523
01:21:28,640 --> 01:21:30,400
Speaker 1: in the wrong direction. Yeah, I love that one. I'm like,

1524
01:21:30,439 --> 01:21:32,599
Speaker 1: maybe Trump is just a moron and he doesn't actually

1525
01:21:32,600 --> 01:21:37,080
Speaker 1: believe anything except having vanity in himself who occasionally does

1526
01:21:37,120 --> 01:21:40,759
Speaker 1: align with a political agenda. But hey whatever, Yeah, indeed,

1527
01:21:43,360 --> 01:21:45,360
Speaker 1: all right, sago, what are you looking at? Well? To

1528
01:21:45,439 --> 01:21:47,479
Speaker 1: start with, I just want to say this is not

1529
01:21:47,680 --> 01:21:52,040
Speaker 1: a low IQ conspiracy theory monologue about In fact, I

1530
01:21:52,040 --> 01:21:55,080
Speaker 1: think the dumb conspiracy theories about Davos and the world

1531
01:21:55,080 --> 01:21:58,280
Speaker 1: economic for him have done more damage to people who

1532
01:21:58,280 --> 01:22:02,360
Speaker 1: want to legitimately describe how dystopian the clouds Schwab, great

1533
01:22:02,400 --> 01:22:07,320
Speaker 1: Reset theories and economic agenda really are. This is actually

1534
01:22:07,360 --> 01:22:11,200
Speaker 1: a global elite of billionaires who are in plannings not secretly,

1535
01:22:11,439 --> 01:22:14,920
Speaker 1: but in reality, out in the open to all of us,

1536
01:22:15,439 --> 01:22:19,960
Speaker 1: the revealing their ideology in all of its glory. Ideology

1537
01:22:20,040 --> 01:22:24,040
Speaker 1: is masked in similar terms as the Great Reset, grand language,

1538
01:22:24,240 --> 01:22:28,760
Speaker 1: grasping for changing the world and massed always in responsibility.

1539
01:22:29,120 --> 01:22:32,000
Speaker 1: It takes finesse to see it, to read past it,

1540
01:22:32,200 --> 01:22:35,000
Speaker 1: and to realize how crazy a lot of it really is.

1541
01:22:35,320 --> 01:22:37,880
Speaker 1: And that's what I've been thinking about now, especially over

1542
01:22:37,880 --> 01:22:40,960
Speaker 1: the last day or so, as I saw separate instances

1543
01:22:41,000 --> 01:22:44,720
Speaker 1: that reinforce just how important it is to protect America

1544
01:22:44,880 --> 01:22:48,120
Speaker 1: from these people, and how when I say things about

1545
01:22:48,120 --> 01:22:51,080
Speaker 1: how in Europe and in Australia they are only free

1546
01:22:51,120 --> 01:22:53,799
Speaker 1: to a certain extent, and then those people get upset,

1547
01:22:54,000 --> 01:22:56,639
Speaker 1: how this really approves my point. We're going to start

1548
01:22:56,640 --> 01:22:59,280
Speaker 1: with Julia Inman Grant. She is the so called e

1549
01:22:59,479 --> 01:23:02,960
Speaker 1: Safety Commissioner for the country of Australia, speaking on a

1550
01:23:02,960 --> 01:23:07,120
Speaker 1: panel yesterday titled ushering in a Safer Digital Future. Let's

1551
01:23:07,160 --> 01:23:09,080
Speaker 1: take a listen to what she says about free speech.

1552
01:23:09,560 --> 01:23:13,640
Speaker 1: We are finding ourselves in a place where we have

1553
01:23:13,720 --> 01:23:18,559
Speaker 1: increasing polarization everywhere, and everything feels binary when it doesn't

1554
01:23:18,640 --> 01:23:20,640
Speaker 1: need to be. So I think we're going to have

1555
01:23:20,680 --> 01:23:23,080
Speaker 1: to think about a recalibration of a whole range of

1556
01:23:23,160 --> 01:23:26,200
Speaker 1: human rights that are playing out online, from freedom of

1557
01:23:26,240 --> 01:23:29,559
Speaker 1: speech to the freedom you know, to be free from

1558
01:23:29,800 --> 01:23:36,000
Speaker 1: online violence, or the right of data protection. Recalibration of

1559
01:23:36,080 --> 01:23:40,480
Speaker 1: freedom of speech. Fundamentally, that is the mindset that dominates

1560
01:23:40,520 --> 01:23:44,240
Speaker 1: the entire non Western world except here where they do

1561
01:23:44,320 --> 01:23:47,760
Speaker 1: not have a First Amendment codified into their constitution. Their

1562
01:23:47,800 --> 01:23:50,599
Speaker 1: systems of law say, you have freedom of speech within

1563
01:23:50,680 --> 01:23:54,120
Speaker 1: the boundaries that they get to decide. Those that they

1564
01:23:54,400 --> 01:23:58,240
Speaker 1: do get to decide. Give the government overwhelming power then

1565
01:23:58,520 --> 01:24:01,559
Speaker 1: to police their citizens, to crack down on descent, to

1566
01:24:01,640 --> 01:24:03,960
Speaker 1: shut down the media, and as we saw in Australia

1567
01:24:04,040 --> 01:24:07,439
Speaker 1: during COVID, literally throw their citizens into camps for testing

1568
01:24:07,479 --> 01:24:09,960
Speaker 1: positive for a virus which was probably not going to

1569
01:24:10,080 --> 01:24:13,439
Speaker 1: kill you. Watching that mindset pervade the richest and most

1570
01:24:13,439 --> 01:24:16,240
Speaker 1: powerful people in the world at Davos is important because

1571
01:24:16,240 --> 01:24:19,000
Speaker 1: it underscores just how much of the current elite liberal

1572
01:24:19,040 --> 01:24:23,679
Speaker 1: regime in America desperately wants to import European style thinking

1573
01:24:23,720 --> 01:24:27,439
Speaker 1: and security laws to our shores to get around the

1574
01:24:27,439 --> 01:24:30,799
Speaker 1: First Amendment. A perfect example of that thinking was actually Twitter.

1575
01:24:31,000 --> 01:24:34,400
Speaker 1: Before Elon Musk became involved. Peragh agar Waal, he's the

1576
01:24:34,439 --> 01:24:37,920
Speaker 1: CEO of Twitter, explicitly said before he took the job

1577
01:24:38,120 --> 01:24:40,640
Speaker 1: that his job was quote not to be bound by

1578
01:24:40,680 --> 01:24:44,240
Speaker 1: the First Amendment. He said and said that harm reduction,

1579
01:24:44,439 --> 01:24:47,160
Speaker 1: which is a buzzword of these people, was the overall

1580
01:24:47,320 --> 01:24:51,040
Speaker 1: goal of the platform. That is why only days after

1581
01:24:51,080 --> 01:24:55,040
Speaker 1: he took that job at CEO, he imposed a new

1582
01:24:55,240 --> 01:24:58,479
Speaker 1: policy which said that Twitter will not allow the sharing

1583
01:24:58,560 --> 01:25:01,559
Speaker 1: of private media, such as images or videos of private

1584
01:25:01,560 --> 01:25:05,840
Speaker 1: individuals without their consent. Now that sounds nice, right until

1585
01:25:05,880 --> 01:25:09,519
Speaker 1: you think. Wait, under this policy, you could not post

1586
01:25:09,600 --> 01:25:12,960
Speaker 1: the George Floyd video or any police murder. You could

1587
01:25:12,960 --> 01:25:15,320
Speaker 1: not take videos of people who are harassing you or

1588
01:25:15,360 --> 01:25:18,439
Speaker 1: who are doing something untoward and public, and then post

1589
01:25:18,479 --> 01:25:21,800
Speaker 1: it without their consent. In other words, you are constrained

1590
01:25:22,040 --> 01:25:25,719
Speaker 1: to be a dissident. They frame it under harm reduction.

1591
01:25:26,120 --> 01:25:28,879
Speaker 1: And the reason this matters is that the Twitter policy

1592
01:25:29,000 --> 01:25:32,559
Speaker 1: is a direct derivative of European style privacy laws they

1593
01:25:32,600 --> 01:25:36,080
Speaker 1: went into effect four years ago, which prohibit posting film

1594
01:25:36,120 --> 01:25:39,040
Speaker 1: of someone without their consent. Now why do I mention

1595
01:25:39,160 --> 01:25:41,800
Speaker 1: this because this also came to head at Davos when

1596
01:25:41,880 --> 01:25:44,800
Speaker 1: Jack Pisobec of Human Events. He was present at Switzerland

1597
01:25:44,800 --> 01:25:47,400
Speaker 1: to attend the conference, presumably to report on what was

1598
01:25:47,439 --> 01:25:50,920
Speaker 1: going on. He was surrounded by police officers and look,

1599
01:25:50,960 --> 01:25:53,640
Speaker 1: do I agree with everything? Jack Pisobek says no, But

1600
01:25:53,720 --> 01:25:55,920
Speaker 1: that's not the point. He's an American citizen. He has

1601
01:25:55,960 --> 01:25:58,480
Speaker 1: a camera, he runs a media outlet. He's a journalist.

1602
01:25:58,800 --> 01:26:02,960
Speaker 1: Watch here how this Swiss police and explicitly branded World

1603
01:26:03,000 --> 01:26:07,800
Speaker 1: Economic Forum police surround him for questioning and then use

1604
01:26:07,960 --> 01:26:11,639
Speaker 1: their privacy laws to try and shield themselves from what

1605
01:26:11,680 --> 01:26:14,760
Speaker 1: they're doing to an American journalist. Excuse me? Can I

1606
01:26:14,800 --> 01:26:18,880
Speaker 1: ask you why you're detaining this journalist? Can I ask

1607
01:26:18,920 --> 01:26:21,760
Speaker 1: you why you're detaining a journalist? Answer your question? Is

1608
01:26:21,800 --> 01:26:27,760
Speaker 1: it to report? Here? Can I ask you guys? Can

1609
01:26:28,200 --> 01:26:31,800
Speaker 1: you yeah? Can you please stop filming? Then we can talk?

1610
01:26:32,040 --> 01:26:34,439
Speaker 1: Why do I need to stop filming because I ask

1611
01:26:34,520 --> 01:26:37,200
Speaker 1: you to? It's the it's my personal right because I

1612
01:26:37,240 --> 01:26:40,160
Speaker 1: don't like to be filmed. It's a ride in Switzerland

1613
01:26:41,000 --> 01:26:42,679
Speaker 1: if I don't want to way. Can I ask why

1614
01:26:42,680 --> 01:26:44,800
Speaker 1: he's being detained? Then I won't point the camera to

1615
01:26:44,960 --> 01:26:50,200
Speaker 1: Then there it is. Police can surround an American journalist

1616
01:26:50,600 --> 01:26:53,320
Speaker 1: someone who comes to ask them. What is the very

1617
01:26:53,320 --> 01:26:55,920
Speaker 1: first thing that Davos cops say, put the phone away?

1618
01:26:56,040 --> 01:26:58,439
Speaker 1: Stop filming. You have to because of the laws in

1619
01:26:58,439 --> 01:27:01,000
Speaker 1: Switzerland that give them the right right to tell you

1620
01:27:01,400 --> 01:27:05,040
Speaker 1: to stop filming when you're the cops. Look, you know,

1621
01:27:05,080 --> 01:27:07,840
Speaker 1: I'm not some BLM bleeding heart leftists. But it should

1622
01:27:07,880 --> 01:27:11,400
Speaker 1: be an ironclad right that you can film whatever you

1623
01:27:11,560 --> 01:27:15,439
Speaker 1: damn please during an interaction with the police. And of course,

1624
01:27:15,720 --> 01:27:18,240
Speaker 1: who does that law benefit when you're up against someone

1625
01:27:18,240 --> 01:27:21,120
Speaker 1: who's more powerful than you, it's the cops. This is

1626
01:27:21,160 --> 01:27:24,720
Speaker 1: why so called recalibration of freedom of speech and the

1627
01:27:24,760 --> 01:27:27,760
Speaker 1: whole Davos mindset on what it means to have free

1628
01:27:27,760 --> 01:27:32,600
Speaker 1: speech online is so fundamentally important. They tell us openly

1629
01:27:32,680 --> 01:27:35,640
Speaker 1: what they want to architect the system and definitions in

1630
01:27:35,680 --> 01:27:38,160
Speaker 1: a way that let the powerful be more powerful and

1631
01:27:38,280 --> 01:27:40,559
Speaker 1: rig the rules of the game to guarantee outcomes like

1632
01:27:40,600 --> 01:27:42,960
Speaker 1: you just saw when the cops surround a journalist with

1633
01:27:43,000 --> 01:27:46,200
Speaker 1: no pretext, as I showed you with Twitter. Make no

1634
01:27:46,280 --> 01:27:49,400
Speaker 1: mistake this is coming here. Here is the New York

1635
01:27:49,400 --> 01:27:53,680
Speaker 1: Times just last month pushing European style tech laws on Americans,

1636
01:27:53,880 --> 01:27:57,200
Speaker 1: pushing so called privacy bills and regulation. And I am

1637
01:27:57,200 --> 01:28:00,800
Speaker 1: not even against regulation, but the regulation I favor is

1638
01:28:00,840 --> 01:28:04,400
Speaker 1: something that guarantees the right of Americans to be free

1639
01:28:04,720 --> 01:28:08,679
Speaker 1: online of censorship for any reason outside of the bounds

1640
01:28:08,720 --> 01:28:11,719
Speaker 1: of First Amendment case law, which has been rigorously debated

1641
01:28:11,760 --> 01:28:14,280
Speaker 1: over the last two hundred years. The ones they want

1642
01:28:14,360 --> 01:28:16,880
Speaker 1: are the opposite. They are the laws which you see

1643
01:28:16,880 --> 01:28:19,760
Speaker 1: in Europe and are beloved by the global elite, which

1644
01:28:19,800 --> 01:28:22,760
Speaker 1: allow government regulation at the speech level of what you

1645
01:28:22,800 --> 01:28:25,519
Speaker 1: can and cannot say online. This is how you have

1646
01:28:25,600 --> 01:28:28,760
Speaker 1: a situation like you literally did in Europe and in

1647
01:28:28,840 --> 01:28:32,280
Speaker 1: Australia during the pandemic, where the government itself decided what

1648
01:28:32,320 --> 01:28:35,919
Speaker 1: could be reported about COVID and what could not. Seeing

1649
01:28:36,040 --> 01:28:38,599
Speaker 1: as many of these tech firms are now global companies,

1650
01:28:38,920 --> 01:28:42,480
Speaker 1: not just US ones, we should all see that they easily,

1651
01:28:42,720 --> 01:28:46,880
Speaker 1: without any passage of law, can import these dystopian future

1652
01:28:47,120 --> 01:28:49,760
Speaker 1: to our shores, even when we've never had a say

1653
01:28:49,760 --> 01:28:52,200
Speaker 1: on it. That is the danger of Davos. Why it's

1654
01:28:52,200 --> 01:28:54,680
Speaker 1: important that we also pay attention because it could be

1655
01:28:54,760 --> 01:28:57,320
Speaker 1: a clipse into our terrible future. I mean, you watch

1656
01:28:57,400 --> 01:28:59,680
Speaker 1: that clip. How quickly they're like, hey, look, we have

1657
01:28:59,680 --> 01:29:01,760
Speaker 1: a law here Switzerland. And if you want to hear

1658
01:29:02,000 --> 01:29:05,519
Speaker 1: my reaction to Sagres's monologue, become a premium subscriber today

1659
01:29:05,600 --> 01:29:09,680
Speaker 1: at Breakingpoints dot com. Crystal, what are you taking a

1660
01:29:09,760 --> 01:29:13,640
Speaker 1: look at? Well? Friends? The downfall Yan with a devastating

1661
01:29:13,640 --> 01:29:17,920
Speaker 1: political screw up and a brutally telling gaff. While Australians

1662
01:29:18,080 --> 01:29:21,920
Speaker 1: were suffering through the worst bushfires in history, Australian Prime

1663
01:29:21,920 --> 01:29:24,040
Speaker 1: Minister Scott Morrison decided it'd be a perfect time to

1664
01:29:24,040 --> 01:29:27,240
Speaker 1: take a little vacate a Hawaii. So as Australians were

1665
01:29:27,280 --> 01:29:30,479
Speaker 1: watching in horror as their lands and homes burned, and

1666
01:29:30,520 --> 01:29:34,360
Speaker 1: in certain cases fleeing for their lives, Morrison was blissfully

1667
01:29:34,360 --> 01:29:37,320
Speaker 1: watching the waves crash on the beach. Now once public

1668
01:29:37,320 --> 01:29:40,120
Speaker 1: outrage set in, he then hurried back to his post,

1669
01:29:40,240 --> 01:29:43,200
Speaker 1: but his reappearance kind of kind of only made things worse.

1670
01:29:43,560 --> 01:29:46,479
Speaker 1: Instead of expressing the contrition and regret that voters were

1671
01:29:46,520 --> 01:29:49,920
Speaker 1: presumably looking for, he instead bristled at the criticism and

1672
01:29:50,000 --> 01:29:54,200
Speaker 1: dismissed the concerns, insisting that his absence during the fires

1673
01:29:54,320 --> 01:29:57,960
Speaker 1: was just fine because quote, I don't hold a hosemte.

1674
01:29:58,080 --> 01:30:00,760
Speaker 1: He also continued his beach going once back. Australian was

1675
01:30:00,760 --> 01:30:03,760
Speaker 1: caught on camera in this little number. Sorry, everybody, I

1676
01:30:03,760 --> 01:30:05,599
Speaker 1: had to see that pick during my research, so now

1677
01:30:05,600 --> 01:30:08,479
Speaker 1: you also have to suffer with it too. Little did

1678
01:30:08,520 --> 01:30:11,439
Speaker 1: he know that soon enough voters would send him packing

1679
01:30:11,479 --> 01:30:14,479
Speaker 1: on a very different trip. Indeed, because Morrison's troubles did

1680
01:30:14,520 --> 01:30:17,040
Speaker 1: not end with the climate crisis fueled fires and his

1681
01:30:17,120 --> 01:30:19,880
Speaker 1: failed response to them. Far from it. There were also

1682
01:30:20,200 --> 01:30:23,439
Speaker 1: catastrophic issues with vaccine rollouts, leaving some major cities to

1683
01:30:23,520 --> 01:30:25,920
Speaker 1: be locked down for as many as nine months. There

1684
01:30:25,920 --> 01:30:29,400
Speaker 1: were corruption scandals that fueled voter concerns about government integrity.

1685
01:30:29,520 --> 01:30:32,640
Speaker 1: There were belated and tone deaf responses to sexual harassment

1686
01:30:32,640 --> 01:30:35,559
Speaker 1: and assault scandals. Based on the polls and the voters

1687
01:30:35,560 --> 01:30:37,840
Speaker 1: that I heard interviewed, it all added up to a

1688
01:30:37,880 --> 01:30:41,080
Speaker 1: perception that he was completely disconnected from the issues that

1689
01:30:41,160 --> 01:30:44,040
Speaker 1: voters actually cared about, That he was a chameleon who

1690
01:30:44,120 --> 01:30:47,400
Speaker 1: adopted the persona he thought was most politically advantageous, That

1691
01:30:47,439 --> 01:30:51,680
Speaker 1: he was constantly shifting blame and denying responsibility for critical decisions,

1692
01:30:51,960 --> 01:30:54,799
Speaker 1: and then on a basic human level, he was really

1693
01:30:55,080 --> 01:30:58,280
Speaker 1: just a total jerk. So when election day arrived, voters

1694
01:30:58,320 --> 01:31:01,280
Speaker 1: handed him and his Liberal Party coalition of moderate, center

1695
01:31:01,360 --> 01:31:04,240
Speaker 1: right and right wing candidates a drubbing. At the polls.

1696
01:31:04,600 --> 01:31:07,640
Speaker 1: Now listen far from an expert on Australian politics, but

1697
01:31:07,680 --> 01:31:10,479
Speaker 1: there were two big trends that jump out of these

1698
01:31:10,520 --> 01:31:13,679
Speaker 1: results that have some echoes both here and around the world.

1699
01:31:14,560 --> 01:31:16,840
Speaker 1: So the first thing that is pretty clear is the

1700
01:31:16,960 --> 01:31:20,599
Speaker 1: rise of the independent voter and the downfall of both

1701
01:31:20,880 --> 01:31:24,160
Speaker 1: major parties. It's yet another rejection of the markets over

1702
01:31:24,200 --> 01:31:27,640
Speaker 1: everything politics that have dominated over the past forty years now.

1703
01:31:27,680 --> 01:31:30,720
Speaker 1: Australian politics has basically always been a contest between the

1704
01:31:30,760 --> 01:31:33,200
Speaker 1: center right Liberals and the center left Labor Party, with

1705
01:31:33,240 --> 01:31:35,639
Speaker 1: few other parties playing anything other than a marginal role,

1706
01:31:36,000 --> 01:31:39,040
Speaker 1: and Labor, the main center left party, was in fact

1707
01:31:39,120 --> 01:31:42,880
Speaker 1: the major beneficiary of Morris's scandals and his failures. Their man,

1708
01:31:42,960 --> 01:31:46,400
Speaker 1: Anthony Albanisi, was sworn in as Prime Minister on Monday,

1709
01:31:46,520 --> 01:31:50,320
Speaker 1: ending a decade of right leaning governments, but it was

1710
01:31:50,400 --> 01:31:54,160
Speaker 1: hardly a soaring endorsement of center left neoliberal governance. Both

1711
01:31:54,200 --> 01:31:57,680
Speaker 1: the Labor and Liberal parties suffered huge declines in their

1712
01:31:57,720 --> 01:32:01,040
Speaker 1: first preference vote totals. You can see here the blue line.

1713
01:32:01,040 --> 01:32:03,160
Speaker 1: That's their traditional center right party, which has seen a

1714
01:32:03,240 --> 01:32:05,639
Speaker 1: huge decline. The red line is the Labor Party, which

1715
01:32:05,680 --> 01:32:08,000
Speaker 1: somehow managed to win in spite of receiving its lowest

1716
01:32:08,040 --> 01:32:11,519
Speaker 1: ever first preference vote total. Australia uses rank choice voting,

1717
01:32:11,560 --> 01:32:14,320
Speaker 1: so that's what that's all about. But equally interesting is

1718
01:32:14,360 --> 01:32:17,799
Speaker 1: that bottom black line, which is climbing higher and higher.

1719
01:32:18,360 --> 01:32:21,879
Speaker 1: That line represents the rapidly increasing share going to candidates

1720
01:32:21,880 --> 01:32:25,680
Speaker 1: who are not in either of those major parties. Two

1721
01:32:25,800 --> 01:32:28,840
Speaker 1: parties stood out among those independents. First, a group of

1722
01:32:28,880 --> 01:32:32,080
Speaker 1: women calling themselves the Teals. They ran in wealthy areas

1723
01:32:32,120 --> 01:32:35,080
Speaker 1: traditionally strong for liberals, and they proved to be extremely

1724
01:32:35,080 --> 01:32:38,120
Speaker 1: successful at appealing to voters who were typically Liberal voters

1725
01:32:38,120 --> 01:32:41,479
Speaker 1: but disappointed with the party on corruption, women's equality, and

1726
01:32:41,520 --> 01:32:45,240
Speaker 1: in particular, climate change. Now, these women had a huge night,

1727
01:32:45,280 --> 01:32:49,440
Speaker 1: even ousting some high level Liberal officials. The other independent

1728
01:32:49,439 --> 01:32:52,519
Speaker 1: party making historic gains was the Greens. They ran on

1729
01:32:52,640 --> 01:32:55,839
Speaker 1: an all out left populist platform, including bold action on climate,

1730
01:32:56,120 --> 01:32:59,280
Speaker 1: and they notched their best results in history. Not only

1731
01:32:59,320 --> 01:33:01,360
Speaker 1: did they grab their highest ever vote totals, but they

1732
01:33:01,400 --> 01:33:03,599
Speaker 1: could hold as many as five seats in the Lower House.

1733
01:33:03,640 --> 01:33:06,080
Speaker 1: Now that might not sound like much, but it actually

1734
01:33:06,080 --> 01:33:09,679
Speaker 1: made the largest minor party stake in Australia since nineteen

1735
01:33:09,800 --> 01:33:13,120
Speaker 1: forty nine. All of this also sounds a lot like

1736
01:33:13,160 --> 01:33:14,880
Speaker 1: what we just saw in the French election, where the

1737
01:33:14,960 --> 01:33:17,960
Speaker 1: traditional center right and center left parties were complete non

1738
01:33:18,000 --> 01:33:20,320
Speaker 1: starters in the presdential race, and where the left wing

1739
01:33:20,360 --> 01:33:24,400
Speaker 1: candidate outperformed expectations, nearly making it into the runoff by surprise.

1740
01:33:24,880 --> 01:33:26,920
Speaker 1: It also sounds a bit like how voters are feeling

1741
01:33:26,920 --> 01:33:29,799
Speaker 1: here frankly, although obviously we don't have a parliamentary system,

1742
01:33:30,120 --> 01:33:32,840
Speaker 1: both of our major parties and their leaders Trump and

1743
01:33:32,880 --> 01:33:37,000
Speaker 1: Biden are held in contempt by most voters, and what's more,

1744
01:33:37,120 --> 01:33:40,719
Speaker 1: and astonishing fifty eight percent of voters so they would

1745
01:33:40,760 --> 01:33:44,559
Speaker 1: prefer an independent over Biden or Trump if faced with

1746
01:33:44,640 --> 01:33:48,040
Speaker 1: that particular matchup. Again, people are done with these dudes.

1747
01:33:48,200 --> 01:33:51,080
Speaker 1: We just regrettably don't have a whole lot of alternatives here.

1748
01:33:51,680 --> 01:33:54,000
Speaker 1: The other big takeaway from Australia, though, is that even

1749
01:33:54,000 --> 01:33:57,000
Speaker 1: with inflation, major foreign policy issues and discuss with the

1750
01:33:57,040 --> 01:33:59,960
Speaker 1: handling of COVID, the number one issue which proved determinative

1751
01:34:00,320 --> 01:34:04,240
Speaker 1: was climate. Because of Australia, the climate crisis got extremely

1752
01:34:04,320 --> 01:34:07,720
Speaker 1: real and extremely terrifying over the past few years. They

1753
01:34:07,760 --> 01:34:11,160
Speaker 1: suffered through droughts and floods and those massive fires unfolding

1754
01:34:11,200 --> 01:34:14,679
Speaker 1: Wall Morrison, of course, lounged in Hawaii. According to NBC News,

1755
01:34:14,800 --> 01:34:16,800
Speaker 1: polling in the lead up showed that eight out of

1756
01:34:16,800 --> 01:34:20,160
Speaker 1: ten Australians won a great climate action from the government

1757
01:34:21,080 --> 01:34:23,800
Speaker 1: seventy percent of respondents said they believe climate change was

1758
01:34:23,920 --> 01:34:27,519
Speaker 1: already impact in the country, and environment was the most

1759
01:34:27,520 --> 01:34:30,280
Speaker 1: mentioned issue on social media during the campaign, ahead of

1760
01:34:30,320 --> 01:34:33,320
Speaker 1: the economy and a head of corruption. Here, Australia is

1761
01:34:33,320 --> 01:34:36,040
Speaker 1: also part of a broader trend. Green parties have been

1762
01:34:36,040 --> 01:34:39,320
Speaker 1: steadily building their vote totals in electoral power across Europe.

1763
01:34:39,439 --> 01:34:41,439
Speaker 1: In fact, Green party vote share has increased and at

1764
01:34:41,479 --> 01:34:45,080
Speaker 1: least thirteen different European countries in their last elections. In

1765
01:34:45,120 --> 01:34:47,080
Speaker 1: the US, of course, the picture is a bit different.

1766
01:34:47,240 --> 01:34:49,880
Speaker 1: While the youth led climate movement has dramatically shifted the

1767
01:34:49,920 --> 01:34:52,760
Speaker 1: contours of our debate, the entrench two party system keeps

1768
01:34:52,760 --> 01:34:56,120
Speaker 1: our own Green Party extremely marginal, and entrench corruption and

1769
01:34:56,160 --> 01:34:59,040
Speaker 1: coziness with the oil and gas industry keeps significant climate

1770
01:34:59,040 --> 01:35:02,519
Speaker 1: action perpetually out of reach. But there is no doubt

1771
01:35:02,560 --> 01:35:05,320
Speaker 1: that that climate movement has risen in importance, with groups

1772
01:35:05,320 --> 01:35:07,880
Speaker 1: like Sunrise pushing candidates on climate issues and helping to

1773
01:35:07,880 --> 01:35:11,400
Speaker 1: elect candidates like AOC and like Ed Markey. Obviously, what

1774
01:35:11,439 --> 01:35:14,400
Speaker 1: happens in Australia politically, it's ultimately all about Australia. It's

1775
01:35:14,400 --> 01:35:17,519
Speaker 1: the characters, the history, the culture, the speedos. I simply

1776
01:35:17,520 --> 01:35:21,320
Speaker 1: cannot imagine American politicians surviving the scandal of that bathing attire.

1777
01:35:21,400 --> 01:35:24,200
Speaker 1: But I digress. But when you see trends go global,

1778
01:35:24,360 --> 01:35:27,160
Speaker 1: it is worth taking note of. And in election after election,

1779
01:35:27,320 --> 01:35:30,080
Speaker 1: voters keep sending the message that one way or another

1780
01:35:30,240 --> 01:35:33,880
Speaker 1: they are done within action and disgusted with the status quo.

1781
01:35:34,200 --> 01:35:35,960
Speaker 1: And that was the part that really piqued my interest.

1782
01:35:36,560 --> 01:35:38,400
Speaker 1: Is that amazing? And if you want to hear my

1783
01:35:38,560 --> 01:35:41,880
Speaker 1: reaction to Crystal's monologue, become a premium subscriber today at

1784
01:35:41,960 --> 01:35:46,160
Speaker 1: Breakingpoints dot com. Thank you guys so much for watching.

1785
01:35:46,200 --> 01:35:48,000
Speaker 1: I really appreciate it. Look, it's so I mean, you

1786
01:35:48,040 --> 01:35:50,960
Speaker 1: talk about dead kids. Is nothing worse? You know, I'm

1787
01:35:50,960 --> 01:35:53,000
Speaker 1: not saying it's about me, but you know, waking up

1788
01:35:53,280 --> 01:35:55,400
Speaker 1: seeing as news having to bring into all of you,

1789
01:35:55,560 --> 01:35:58,400
Speaker 1: it's it's really just the most heart wrenching part of

1790
01:35:58,439 --> 01:36:02,760
Speaker 1: the job and always thinking about people, Evaldi, the victims, families,

1791
01:36:03,320 --> 01:36:05,519
Speaker 1: to everybody else out there, Thank you all for supporting

1792
01:36:05,640 --> 01:36:07,800
Speaker 1: us and giving us the flexibility to be able to

1793
01:36:07,840 --> 01:36:10,040
Speaker 1: do the show the best way that we possibly can.

1794
01:36:10,200 --> 01:36:13,360
Speaker 1: Just only one programming note. I know Premium subscribers since

1795
01:36:13,439 --> 01:36:16,000
Speaker 1: we moved over to our new email system. There have

1796
01:36:16,120 --> 01:36:19,559
Speaker 1: been some snaffoos, but we are basically at the same

1797
01:36:19,600 --> 01:36:22,960
Speaker 1: open rate that we were previously to the switchover. If

1798
01:36:22,960 --> 01:36:25,760
Speaker 1: you have not gotten your email, please reply to the

1799
01:36:25,840 --> 01:36:28,960
Speaker 1: last email that you received from us and we will

1800
01:36:28,960 --> 01:36:31,679
Speaker 1: get you sorted with our customer service team. We're already

1801
01:36:31,680 --> 01:36:34,679
Speaker 1: getting to a better open rate and more importantly, free

1802
01:36:34,680 --> 01:36:38,759
Speaker 1: of mail Chimp, away from the corporate control. My parents

1803
01:36:38,760 --> 01:36:42,880
Speaker 1: have been asking you about it there in the camp. Actually,

1804
01:36:42,880 --> 01:36:45,240
Speaker 1: I've been told that they were personally reached out to

1805
01:36:45,360 --> 01:36:50,960
Speaker 1: by the Supercast. Yeah, they're getting a real white glove treatment.

1806
01:36:51,479 --> 01:36:54,040
Speaker 1: But yeah, I think you know, to sum up what

1807
01:36:54,200 --> 01:36:58,040
Speaker 1: is a roller coaster of a show, I mean, we

1808
01:36:58,080 --> 01:37:01,599
Speaker 1: live in trouble times. We just i mean on every front,

1809
01:37:02,160 --> 01:37:05,880
Speaker 1: and we're really grateful to you guys for allowing us

1810
01:37:05,880 --> 01:37:09,719
Speaker 1: to be able to cover the news whatever is happening

1811
01:37:09,920 --> 01:37:13,080
Speaker 1: wherever it's happening, to build own our programming so that

1812
01:37:13,120 --> 01:37:15,800
Speaker 1: we can have people, you know, covering events on the

1813
01:37:15,800 --> 01:37:18,160
Speaker 1: ground even and we just want to continue to be

1814
01:37:18,200 --> 01:37:21,799
Speaker 1: able to expand and provide you as the best product

1815
01:37:21,800 --> 01:37:24,479
Speaker 1: that we possibly can. That's ultimately our goal. So thank

1816
01:37:24,520 --> 01:37:26,280
Speaker 1: you for sticking with us. Through all of us, all

1817
01:37:26,320 --> 01:37:27,760
Speaker 1: of this, Thank you for bearing with us as we

1818
01:37:27,760 --> 01:37:29,679
Speaker 1: should switch up the schedule a little bit this week,

1819
01:37:29,720 --> 01:37:31,719
Speaker 1: both because we wanted to be able to cover the primaries,

1820
01:37:31,720 --> 01:37:33,560
Speaker 1: but also primarily because I wanted to go to my

1821
01:37:33,680 --> 01:37:36,880
Speaker 1: daughter's eighth grade graduation. We love you, guys, and we

1822
01:37:36,880 --> 01:39:04,880
Speaker 1: will see you back here tomorrow to step