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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: why we're building something new. Be part of creating a new, better, healthier,

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

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Speaker 1: is going to help us build for the midterms and

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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. Good morning, everybody,

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Speaker 1: Happy Monday. We have an amazing show for you today.

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Speaker 1: We are back in beautiful Washington, DC. What do we have,

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Speaker 1: Chris sALS? Indeed we do, and thank you to everyone

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Speaker 1: who tuned in for the live stream on New York City.

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Speaker 1: We had a blast. The comments on it were really positive,

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Speaker 1: so we'll be looking for more opportunities to do that.

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Speaker 1: We're going to do stuff like that. Yeah, it was

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Speaker 1: a fun format. I think people enjoyed how we switched

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Speaker 1: it up in the show today all right, big moves

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Speaker 1: with regards to Elon Musk and Twitter and total media

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Speaker 1: freak out about the whole thing, which is very revealing

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Speaker 1: in many ways. We also have some new comments from

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Speaker 1: Joe Biden's polster who helped him to win the presidency,

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Speaker 1: saying that this is the worst political environment for Democrats

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Speaker 1: that he has ever seen, which I think is just,

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Speaker 1: I mean, pretty undeniable, but for him to admit it,

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Speaker 1: he had some interesting comments here. Also, movement on the

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Speaker 1: stock band for members of Congress will tell you what

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Speaker 1: the sort of sticking points are and where that lies

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Speaker 1: in the process. New news about CNN Plus and you guys,

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Speaker 1: how much the wheels are already coming up, big layoffs

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Speaker 1: and budget cuts already planned. We also have Jordan Cheriton

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Speaker 1: in the show for an update on union adverts and

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Speaker 1: union busting adverts over with Amazon. Okay, a couple other

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Speaker 1: announcements for you here, guys. First of all, we are

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Speaker 1: will have content to post every single day like we

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Speaker 1: normally do. I unfortunately have suffered death in the family,

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Speaker 1: so I'm going to be tending a few role and

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Speaker 1: it is soccer birthday. Yeah, that's right. So and Marshall

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Speaker 1: is not a Marshall in So we just said, you

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Speaker 1: know what, guys, we're going to call it this. We

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Speaker 1: tried our best. Yeah, we tried our bust, but we're

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Speaker 1: going to record a bunch of extra stuff so we

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Speaker 1: won't leave you high and dry. Another thing that we

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Speaker 1: will reveal at the end of the show, we have

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Speaker 1: at long last gotten the lifetime Members plaque complete. It

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Speaker 1: is in the studio. It is sitting to my left

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Speaker 1: as we speak right now. It is a very difficult

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Speaker 1: logistical challenge to figure on exactly how to pull this out,

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Speaker 1: especially we find do you know how hard it is

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Speaker 1: to make stuff in America? We can tell you a

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Speaker 1: whole thing about it. Yes. And finally, before last announcement

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Speaker 1: before we start the show is thank you to James

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Speaker 1: for putting together the newsletter. We're going to continue forward

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Speaker 1: with that because he seems to like doing it and

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Speaker 1: you guys seem to like getting it. So By and

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Speaker 1: guys really love it. It is a like we reminder,

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Speaker 1: it's basically a written roundup of the entire show, includes

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Speaker 1: all the links, all of the elements that are within here.

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Speaker 1: So if you want to check our stuff, what exactly

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Speaker 1: That is something that we make available to our premium members.

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Speaker 1: you guys really Yeah. And by the way, guys, we

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Speaker 1: We're continuing to look into people and more content, more people,

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Speaker 1: more folks in the circle of friends here over at

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Speaker 1: the breaking points, extended universe, the extended family here, So

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Speaker 1: stay tuned for that. All right. With all of that

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Speaker 1: out of the way, let's get to the very latest

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Speaker 1: in terms of Russia's war in Ukraine. President Biden making

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Speaker 1: some new comments, continuing to up the rhetorical anti in

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Speaker 1: ways that I personally find to be less than productive.

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Speaker 1: Let's take a listen to his latest comments. I call

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Speaker 1: It's still different than it was last week. War evidence

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Speaker 1: is coming out of the literally the horrible things that

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Speaker 1: the Russians have done in Ukraine. So here's the trajectory. Guys.

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Speaker 1: You remember first President Biden made some comments off the

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Speaker 1: so it wasn't just, you know, one sort of flippant comment.

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Speaker 1: Then he says he wants him to actually be tried

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Speaker 1: as a war criminal, something that our own war criminals

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Speaker 1: have never subjected themselves to. And now we are moving

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Speaker 1: up the chain of rhetorical escalation here saying that what

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Speaker 1: just to put the definition of genocide out there, because

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Speaker 1: sometimes we throw these terms around loosely without really thinking

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Speaker 1: through what they are and what they mean. It was

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Speaker 1: nineteen forty four, and he said that the term doesn't

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Speaker 1: necessarily signify mass killings. More often, genocide refers to a

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Speaker 1: coordinated plan aimed at destruction of the essential foundations of

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Speaker 1: the life of national groups, so that these groups wither

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Speaker 1: and die like plants that have suffered a blight. I

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Speaker 1: think that certainly could apply to what is happening in

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Speaker 1: Ukraine right now. So I'm not saying that the term

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Speaker 1: is inaccurate in terms of you know, Putin has clearly

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Speaker 1: not just a war on Ukrainian soil and a desire

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Speaker 1: there is some justification here, but the broader picture, as

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Speaker 1: we always try to point out, is that look, ultimately,

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Speaker 1: we want there to be peace. We want there to

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Speaker 1: be a negotiated settlement, we want there to be an

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Speaker 1: end to the violence. And it's very clear from the

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Speaker 1: president's words and from the administration's posture that they're not

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Speaker 1: in New York about ron Klain also made some comments

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Speaker 1: ramp for Vladimir Putin. I don't think that's our concern.

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Speaker 1: Our concern is punishing the Russian aggression and defending the

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Speaker 1: rights of Ukrainians to have the kind of future that

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Speaker 1: they deserve. No one is denying the Ukrainians deserve to

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Speaker 1: be free, they deserve peace, they deserve all of that.

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Speaker 1: But when you don't want an exit rant for Vladimir Putin,

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Speaker 1: that means you don't want peace. That means you actually

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Speaker 1: want Ukraine to continue suffering. And we're going to bring

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Speaker 1: you some more reports on the civilian casualties here. You

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Speaker 1: want this war to continue because you're more interested in

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Speaker 1: punishing Russia than ultimately reaching a settlement here. Yeah, and look,

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Speaker 1: the words of a president matter. That was the very

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Speaker 1: first thing that Joe Biden said whenever he was running

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Speaker 1: for president in twenty nineteen. You can all go back

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Speaker 1: and watch his announcement video. But here's the problem. The

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Speaker 1: enduring legacy of never again is burned into all of us.

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Speaker 1: And I think that's a good thing. I actually do.

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Speaker 1: Post World War Two, we decided that it was a

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Speaker 1: just cause that four hundred thousand Americans died in order

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Speaker 1: to restore both peace in Europe and to stop the

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Speaker 1: genocide of Hitler and the Nazis. The greatest regret of

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Speaker 1: the United States in the nineteen nineties is that they

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Speaker 1: didn't do it anything. Whenever it came to the genocide

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Speaker 1: in Rwanda, and that is why at the time, if

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Speaker 1: you go back, the Clinton administration refused to use the

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Speaker 1: word genocide. There's a famous clip of Susan Rice refusing

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Speaker 1: to use the word from the podium at the State Department.

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Speaker 1: And the reason why was because if we acknowledged it

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Speaker 1: as a quote unquote genocide, that would require and compel

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Speaker 1: action on behalf of the United States. So there's actually

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Speaker 1: a two pronged problem here. If this is a genocide

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Speaker 1: and we do nothing about it, then that begs the

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Speaker 1: question why are we doing Why aren't we doing the

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Speaker 1: maximalst approach? Why are we not bombing, you know, whichever

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Speaker 1: Russian contingent is responsible for the war crimes in Butcha,

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Speaker 1: Why are we not, you know, taking out chemical weapons

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Speaker 1: factories or denigrating the Russian ability to wage war. Now,

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Speaker 1: there's a grand strategic reason we're not doing it. It's

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Speaker 1: because in Russia is a nuclear power, and because doing

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Speaker 1: so would very likely invite a major escalation between a

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Speaker 1: war between NATO and the United States. And so Biden

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Speaker 1: needs to choose his words more carefully towards an actual

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Speaker 1: strategic aim instead speaking aimlessly putin is a war criminal,

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Speaker 1: this is a genocide, and he doubles down on genocide.

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Speaker 1: The thing is, I don't think it is aimless. I

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Speaker 1: think it's very intentional, because they don't have any intention

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Speaker 1: of bringing this thing to a close. I mean, that's

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Speaker 1: just become increasingly clear. At the beginning, I was sort

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Speaker 1: of fifty to fifty whether it was just you know,

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Speaker 1: they're just reacting and bubbling through and it's just all

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Speaker 1: response to whatever's happening in the moment. But I think

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Speaker 1: it's become increasingly clear that their only goal here ultimately

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Speaker 1: is to punish Russian aggression to the point that Putin

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Speaker 1: gets pushed out of power. I mean that's what Biden

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Speaker 1: let flip in that famous moment that you know, they

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Speaker 1: kind of cleaned up, they kind of walked back, and

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Speaker 1: then he kind of also leaned into I think that

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Speaker 1: was revealing what the true aim is here, and I

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Speaker 1: think that that's foolish. I don't think it's going to happen,

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Speaker 1: and ultimately, I think it's going to contribute to even

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Speaker 1: more Ukrainian suffering. And so that's really the issue here

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Speaker 1: is I think that the US administration is really actively

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Speaker 1: standing in the way of peace at this point and

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Speaker 1: guaranteeing that we are going to enter this new Cold

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Speaker 1: War era of a new Iron curtain and a new

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Speaker 1: world divided and a new conflict and competition, which is

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Speaker 1: wonderful if you're an arms dealer or weapons manufacturer. You know,

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Speaker 1: it's wonderful. For the neo cons here in this country,

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Speaker 1: it's you know, their greatest dream. But it's a disaster

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Speaker 1: if you actually care about a sort of you know,

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Speaker 1: if you actually care about peace, it's ultimately a disaster. Yeah.

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Speaker 1: To me, it's all about ambiguity, which is that whenever

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Speaker 1: Biden leaves terms open like genocide and war criminal, he

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Speaker 1: is inviting a position of the United States in order

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Speaker 1: to use military force. This is something that we all

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Speaker 1: know in our DNA. Rightfully, we're good people. We don't

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Speaker 1: want to see people massacred across the planet. But when

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Speaker 1: you use rhetoric like that, and by the way, it's

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Speaker 1: not just me saying that, I've heard even from many

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Speaker 1: even quote unquote like moderate type interventions. Marshall is one

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Speaker 1: of these people, and he was denigrating the Biden ministry.

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Speaker 1: He's like, you can't say that, because if you say that,

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Speaker 1: you are saying the United States should be bringing the

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Speaker 1: full force of its power. We have shameful times in

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Speaker 1: our legacy turning away Jewish refugees in the nineteen thirties

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Speaker 1: in order to not antagonize the Hitler regime. I mean, remember, like,

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Speaker 1: these are things which we've all been taught correctly in

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Speaker 1: graduate school as a black mark. And so when you,

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Speaker 1: as the president of the United States and the leader

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Speaker 1: of the free world, use this type of rhetoric, you

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Speaker 1: justify and actually open yourself up to the question, well,

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Speaker 1: why are you not taking direct military actions right in

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Speaker 1: order to stop this? And we know why that answer is,

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Speaker 1: and we should acknowledge that, right, that's right, And that's

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Speaker 1: why you see actually a majority of American people saying

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Speaker 1: we're not doing enough, even though we have taken extraordinary actions,

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Speaker 1: both in terms of the weapons support, the intelligence support

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Speaker 1: we've provided, that the training we've provided to the Ukrainian

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Speaker 1: military over years and years now, and of course the

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Speaker 1: economic warfare that is of almost unprecedented scale that we

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Speaker 1: have launched against Russia at this point. That's how you

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Speaker 1: get to a place where you can have taken all

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Speaker 1: of those extraordinary in some of them I think foolish

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Speaker 1: and morally wrong actions and still have people feel like, yeah,

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Speaker 1: but you're not doing enough. It's because from the beginning

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Speaker 1: of this conflict you've had a certain contingent here in

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Speaker 1: Washington who was perfectly willing and comfortable to say, this

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Speaker 1: is World War two again, this is Putin again, this

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Speaker 1: is you know, to throw round language like genocide, which,

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Speaker 1: as you said, you know, Americans are good people. The

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Speaker 1: country has not, certainly the leadership has not lived up

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Speaker 1: to the values that America is supposed to be all about.

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Speaker 1: But the American people by and large really do believe in, yes,

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Speaker 1: those values and support those values. So when you casually

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Speaker 1: use those terms, it does absolutely open the door for

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Speaker 1: people saying, Okay, then why aren't we doing more? Why

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Speaker 1: aren't we isn't this a just cause? Why aren't we

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Speaker 1: using our men and women to stop the atrocities? Right?

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Speaker 1: And look, I mean I just have to repeat it again,

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Speaker 1: which is that, yes, what can happen in Ukraine is horrific.

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Speaker 1: Can what's going on there is like catastrophic? And Biden's

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Speaker 1: not descriptively wrong whenever he says that Putin does not

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Speaker 1: acknowledge Ukrainian and identity sovereigny people. This is a long

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Speaker 1: time coming in the history of not just Russia, many

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Speaker 1: of the subordinate peoples to Russia. I mean, I actually

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Speaker 1: just saw a fascinating thing today about Russian troops from

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Speaker 1: Eastern Siberia who are Buddhist. You know, it's like and

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Speaker 1: they're being conscripted and deployed to Ukraine. Really, what do

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Speaker 1: these step people have an interest in fighting in Ukraine? Yeah,

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Speaker 1: it's like, this is ludicrous. So many, many people have

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Speaker 1: different types of ethnic groups have long suffered under the

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Speaker 1: Great Russian thumb. However, that doesn't mean that we should

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Speaker 1: risk a nuclear war in order to try and intervene

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Speaker 1: within that country. And when you use language like this,

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Speaker 1: I'll just repeat it again, the words of a president

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Speaker 1: legitimately do matter. And just so you know, it's bipartisan

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Speaker 1: because President Donald Trump also called it a tennyside the

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Speaker 1: day after, and he called it a holocaust previously, and

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Speaker 1: his rhetoric and we should call on there. So when

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Speaker 1: you have the two leading political figures in the United States,

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Speaker 1: depresses me to say that they're the two, but they

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Speaker 1: are of the two factions, and the president, the former

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Speaker 1: president likely next president. You put that together, it's not

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Speaker 1: a good situation for US policy, and you have to

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Speaker 1: understand the broader implications of the machine that that wears

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Speaker 1: up here in DC. Yeah. Yeah, Well, the last thing

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Speaker 1: I want to say about this too, is just on

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Speaker 1: the hypocrisy front. Of course, we've talked about a lot

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Speaker 1: about Saudi and Yemen, but if you're following the news

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Speaker 1: out of Israel, how you can apply the term genocide

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Speaker 1: to Russia's aggression against Ukraine and not what Israel has

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Speaker 1: been doing to Palestine for decades. I don't think you're

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Speaker 1: applying an even standard there. Let's go ahead and move

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Speaker 1: on to Elon Musk and to Twitter. So on Friday,

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Speaker 1: during the live show, we had the breaking news that

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Speaker 1: Elon Musk had offered fifty four dollars per share to

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Speaker 1: Twitter and that Twitter was considering it. We can now

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Speaker 1: bring you the news that Twitter has rejected that offer

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Speaker 1: with a so called poison pill. Let's go ahead and

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Speaker 1: put this up there on the screen. So the Twitter

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Speaker 1: board adopted this poison pill after musk forty billion dollar

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Speaker 1: bid to buy the company. Now it's a little complicated,

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Speaker 1: so let me just try and explain it to the

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Speaker 1: best of my ability. The way that these poison pills

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Speaker 1: work is that they were invented in the crazy hostile

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Speaker 1: takeover days of the nineteen eighties, where the Twitter board

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Speaker 1: says that if any person or conglomerate accumulates more than

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Speaker 1: fourteen point nine percent of Twitter stock, they will begin

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Speaker 1: issuing millions of more shares to broader public investors. The

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Speaker 1: reason this matters is that the musk offer is a

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Speaker 1: per share offer, So what it would do is a

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Speaker 1: it would dilute the stock, but b what it would

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Speaker 1: do is make it much more of an expensive ability

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Speaker 1: in order to offer to buy the broader company. Especially

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Speaker 1: whenever you create millions of shares out of thin air,

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Speaker 1: it would significantly inflate the purchase price and make it

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Speaker 1: much more difficult in order for musking them to acquire

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Speaker 1: the company. Now, this has spawned a lot of discussion

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Speaker 1: around corporate governance, shareholders and more. The way that we

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Speaker 1: have to understand this is, while yes it matters as

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Speaker 1: to who the broader shareholders are, publicly traded companies are

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Speaker 1: subject to the governance of their board of directors. Those

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Speaker 1: board of directors, despite owning less than two percent of

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Speaker 1: the entire company, which is less than Elon Musk, which

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Speaker 1: is less than you know, even Vanguard and many others

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Speaker 1: still have the ability to reject and determine the course

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Speaker 1: of action for the company. And it really raises a

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Speaker 1: lot of questions of like, okay, like how exactly these

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Speaker 1: things run seems a little ridiculous, you know, when you

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Speaker 1: think about ownership and then corporate governance. But it's a

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Speaker 1: long standing corporate practice in order to try and reject

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Speaker 1: hostile takeover efforts. Apparently Netflix did the same thing when

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Speaker 1: Carl Icon tried to run a similar thing on the

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Speaker 1: company back in twenty twelve. That's the most recent example

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Speaker 1: of a tech company kind of rejecting these hostile takeover

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Speaker 1: type bids. Let's put the next one up there on

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Speaker 1: the screen, because what you can see is that there's

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Speaker 1: also a lot of behind the scenes Shenanigan's which are happening,

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Speaker 1: which is that Musk himself now is no longer the

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Speaker 1: major Twitter large shareholder. Now Vanguard Group actually upped their

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Speaker 1: steak in the company all the way up to ten percent.

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Speaker 1: Now we don't exactly know the reason why Vanguard has

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Speaker 1: decided to up its steak, it does seem very much

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Speaker 1: in direct reaction to Elon Musk, and perhaps it's an

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Speaker 1: effort to perhaps influence the board more and perhaps show

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Speaker 1: that they are allies in the system. It just look,

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Speaker 1: many of these board members and Blackrock and other large

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Speaker 1: shareholders don't have any interest in Elon Musk taking over

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Speaker 1: the company, and you know, not unfairly. Because the one

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Speaker 1: thing I do want to say is this. Musk gave

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Speaker 1: an interview on Friday where he said, quote, I don't

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Speaker 1: care about the economics at all. Right, Well, Twitter, He's like,

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Speaker 1: I view this as a editorial project of which I

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Speaker 1: want to protect free speech. I don't care about the

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Speaker 1: business of the company. So if you're a shareholder, I mean,

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Speaker 1: that's not the best thing. At the same time, Musk

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Speaker 1: is offering you a buyout. And it's kind of hilarious

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Speaker 1: that Twitter's board is actually being advised by Goldman Sachs

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Speaker 1: in terms of how in order to defeat all of this. Well,

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Speaker 1: it turns out that Goldman Sachs itself has a cell

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Speaker 1: rating on Twitter and says that the price target on

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Speaker 1: it should be thirty dollars. So by their own analysis,

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Speaker 1: the Twitter as a company in a business is terrible

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Speaker 1: and using Musk's metric. He's offering you insane to overpay.

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Speaker 1: I mean not just overpay, almost double what that Goldman

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Speaker 1: Sachs says that the company is truly worth, which is

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Speaker 1: kind of hilarious. So you put it all together. The

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Speaker 1: Twitter board then has outright rejected it. We don't yet

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Speaker 1: know how this is going to play out, though things

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Speaker 1: inside of Twitter are a bit chaotic. However, we do

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Speaker 1: know this that Musk has said that there was a

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Speaker 1: plan B that he said that was on the stage.

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Speaker 1: He said he is looking to work with possible other shareholders.

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Speaker 1: So this saga is not over yet. I think the

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Speaker 1: best way to think about it is Marshall made this

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Speaker 1: point during our live stream. I thought it was excellent,

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Speaker 1: which is that this is like him buying a newspaper.

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Speaker 1: He wants to look at this thing. He's like, I

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Speaker 1: have a vision for Twitter. I don't only care about

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Speaker 1: the business. It's actually kind of a terrible business if

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Speaker 1: you look at it, right, And so this is the

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Speaker 1: vision of the world that I want to see. Well,

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Speaker 1: and there's so much that's fascinating about this. I mean,

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Speaker 1: first of all, like as I've said before, I sort

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Speaker 1: of view all these billionaires the same, but there's a

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Speaker 1: lot of partisan filtering of which billionaires people like and

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Speaker 1: which ones they're comfortable with. And we're going to get

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Speaker 1: later to like the media freak count over this that

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Speaker 1: you certainly did not see when Bezos was buying watchings,

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Speaker 1: for example. But I think if you do think of

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Speaker 1: it in that framework of this is like buying a newspaper,

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Speaker 1: then people start to understand more like, oh, then this

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Speaker 1: isn't just purely a money making venture. Because that's what

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Speaker 1: makes this so unusual is usually when you have these

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Speaker 1: hostile takeover bids, activist investors, all of these activist shareholders,

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Speaker 1: all of these things, it usually is about I think

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Speaker 1: this company from a financial perspective is being run poorly.

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Speaker 1: I think we could make more money here, not like

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Speaker 1: I think their values are wrong. And so you have

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Speaker 1: this complicated mix of like ideology and financial incentives that

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Speaker 1: makes the picture confusing for people to understand whose motives

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Speaker 1: are what. In that livestream interview that you reference, Elon

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Speaker 1: Musk spoke to the TED conferences, so orange whatever, I

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Speaker 1: can't believe it's still wrong. I know I think of

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Speaker 1: the same thing as like, oh, we're still doing this anyway.

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Speaker 1: He spoke to Ted twenty twenty two in Vancouver in

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Speaker 1: a live streamed interview, and he partly laid on his

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Speaker 1: vision for making Twitter's algorithms more publicly accessible, something I

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Speaker 1: would certainly welcome. Limiting content moderation something else I would

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Speaker 1: certainly welcome if it's done in a consistent and you know,

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Speaker 1: again transparent way. He acknowledged he's not sure that he's

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Speaker 1: actually going to be able to pull this thing off

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Speaker 1: and by Twitter, though he did say he has sufficient

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Speaker 1: assets to fund the deal if accepted. You know, most

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Speaker 1: of his assets are tied up in equity in his companies,

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Speaker 1: so you probably have a big tax event if he

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Speaker 1: had to, you know, have to like fell a stock

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Speaker 1: whatever and have an actual tax event and pay some taxes.

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Speaker 1: That's not a bad thing. But must did say there

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Speaker 1: is a plan B if his initial offer to buy

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Speaker 1: the company and take it private, which he called his

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Speaker 1: best and final offer, is rejected, but he isn't saying

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Speaker 1: what that plan B ultimately is. So, you know, the

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Speaker 1: big thing to take away from the poison pill that's

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Speaker 1: been adopted here and Musk's comments from you know, directly

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Speaker 1: from him, is that this is far from a done deal,

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Speaker 1: whether or not that he's ultimately able to pull this

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Speaker 1: off and ultimately able to you know, take over Twitter.

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Speaker 1: And he wants to take it private, by the way too,

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Speaker 1: that's the other plan here. And I completely believe him that,

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Speaker 1: you know, his motives have to do they are not

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Speaker 1: just directly financial. And so, yeah, if you're a shareholder

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Speaker 1: and you're just in it for the money, even if

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Speaker 1: you don't care at all about content moderation or free speech,

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Speaker 1: if you're looking at this guy who's going to take

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Speaker 1: it over and he's like, I don't really care what

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Speaker 1: the returns ultimately are, Yeah, you're probably not going to

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Speaker 1: be too excited about that. Yeah, And you know, this

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Speaker 1: is keeping with his behavior. I actually read over the

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Speaker 1: weekend reread actually two thousand and I think his seventeen book,

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Speaker 1: a biography of Musk Elon Musk Tesla SpaceX in The

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Speaker 1: Quest for a Fantastic Future. I highly recommend it if

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Speaker 1: you want to kind of understand how Musk ticks. This

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Speaker 1: is long standing in his behavior. If you look at SpaceX,

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Speaker 1: for example, he refuses to take the company public because

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Speaker 1: he does not want SpaceX subject to the same whims

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Speaker 1: of Twitter of Tesla, as you've seen with Tesla, like

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Speaker 1: short sellers quarterly earnings. He's like, you cannot plan for

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Speaker 1: the future and the realistic company whenever you're subject to

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Speaker 1: the whims of the stock market. So even though Tesla

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Speaker 1: I think SpaceX, I think is worth like seventy something

431
00:21:36,840 --> 00:21:40,280
Speaker 1: billion dollars, refuses to take the company public exactly for

432
00:21:40,320 --> 00:21:42,560
Speaker 1: this reason. It doesn't want to be subject to the street.

433
00:21:42,600 --> 00:21:44,439
Speaker 1: So he has a long standing kind of love of

434
00:21:44,520 --> 00:21:46,760
Speaker 1: private companies. And the only reason even wanted Tesla to

435
00:21:46,760 --> 00:21:48,600
Speaker 1: go public in the first place because at the time

436
00:21:48,680 --> 00:21:51,640
Speaker 1: he actually needed the money and has long hated kind

437
00:21:51,680 --> 00:21:55,400
Speaker 1: of Wall Street's machinations. All behind the scenes, interesting potentially

438
00:21:55,440 --> 00:21:58,840
Speaker 1: hopeful movement. Guys on the Congressional stock trading ban let's

439
00:21:58,840 --> 00:22:01,359
Speaker 1: go ahead and put this insider or up on the screen.

440
00:22:01,480 --> 00:22:04,600
Speaker 1: So by partisan group nineteen lawmakers laying out three key

441
00:22:04,680 --> 00:22:07,560
Speaker 1: parameters for a stock trading man. Following the House's first

442
00:22:07,720 --> 00:22:11,240
Speaker 1: hearing on the issues so important that the House actually

443
00:22:11,320 --> 00:22:14,160
Speaker 1: had a hearing on reforming the rules around stock ownership

444
00:22:14,200 --> 00:22:17,240
Speaker 1: in Congress, they are planning to this bipartisan group is

445
00:22:17,280 --> 00:22:20,440
Speaker 1: planning to pressure the Committee on House Administration to move

446
00:22:20,480 --> 00:22:23,760
Speaker 1: forward on an outright ban on stock trading by members

447
00:22:23,760 --> 00:22:26,960
Speaker 1: of Congress. According to a source of knowledge of the effort,

448
00:22:27,320 --> 00:22:31,760
Speaker 1: you have Democrats like Jared Golden of Maine, Abigail Spanberger

449
00:22:31,880 --> 00:22:36,280
Speaker 1: of Virginia. You also have Republicans like Matt Gates of Florida,

450
00:22:36,400 --> 00:22:39,239
Speaker 1: Brian Fitzpatrick of Pennsylvania, a very odd fellow. Is kind

451
00:22:39,280 --> 00:22:42,919
Speaker 1: of a mix of folks here across the truly across

452
00:22:42,960 --> 00:22:45,600
Speaker 1: the ideological spectrum too. You've got the corporate wing represented,

453
00:22:45,680 --> 00:22:48,880
Speaker 1: the moderate wing represented, You've got the more progressives represented.

454
00:22:48,960 --> 00:22:53,320
Speaker 1: You've got you right wings like Matt Gates represented here

455
00:22:53,400 --> 00:22:57,440
Speaker 1: as well. And so the three key sticking points that

456
00:22:57,560 --> 00:22:59,760
Speaker 1: we really wanted to make sure to highlight for you,

457
00:22:59,840 --> 00:23:03,679
Speaker 1: because there are very different directions this bill could go,

458
00:23:03,720 --> 00:23:06,200
Speaker 1: and it could turn into something that's just like sort

459
00:23:06,200 --> 00:23:09,000
Speaker 1: of the toothless virtue signal that has a million loopholes

460
00:23:09,040 --> 00:23:10,879
Speaker 1: that people can get out of, or you could have

461
00:23:10,920 --> 00:23:13,920
Speaker 1: something that's actually consequential and actually has a meaningful constraint

462
00:23:14,280 --> 00:23:17,040
Speaker 1: on members of Congress and what they're able to do.

463
00:23:17,160 --> 00:23:20,280
Speaker 1: So the first piece that is a point of contention

464
00:23:20,800 --> 00:23:24,640
Speaker 1: is whether or not to include spouses and dependent children.

465
00:23:24,920 --> 00:23:27,800
Speaker 1: So there's a lot of different potential bills floating around.

466
00:23:28,200 --> 00:23:31,199
Speaker 1: Some of them include the spouses independent children, people like

467
00:23:31,280 --> 00:23:36,560
Speaker 1: Nancy Pelosi's husband, Rocana's wife, you know, the adult children

468
00:23:36,560 --> 00:23:40,000
Speaker 1: who are still dependent. That piece is really important to

469
00:23:40,040 --> 00:23:42,800
Speaker 1: making this thing ultimately have teeth, because if the spouses,

470
00:23:42,840 --> 00:23:45,720
Speaker 1: if the husbands and wives can still trade stock, this

471
00:23:45,840 --> 00:23:54,160
Speaker 1: ultimately ends up being fairly meaningless because obviously your spouse trade.

472
00:23:54,240 --> 00:23:56,879
Speaker 1: So that's a really important part, and it seems like

473
00:23:57,400 --> 00:23:59,520
Speaker 1: pressure is building in the direction of making sure that

474
00:23:59,560 --> 00:24:03,680
Speaker 1: these spouse independent children are included. The other one is

475
00:24:03,760 --> 00:24:06,240
Speaker 1: this question of some people are saying, like, oh, the

476
00:24:06,320 --> 00:24:10,040
Speaker 1: blind trust, this is really fair because it's expensive to

477
00:24:10,080 --> 00:24:11,960
Speaker 1: set up. And then you know, I can't be a

478
00:24:12,000 --> 00:24:13,879
Speaker 1: member of Congress because I can't afford the fees the

479
00:24:14,000 --> 00:24:15,679
Speaker 1: vast majority of your millionaires. I don't want to hear

480
00:24:15,680 --> 00:24:19,119
Speaker 1: it well and not to mention, and you know, credit

481
00:24:19,160 --> 00:24:21,679
Speaker 1: to Abigail Spamberger, I'm not a huge fan of on

482
00:24:21,760 --> 00:24:24,680
Speaker 1: this one. She's like, Okay, then just sell it. Can't

483
00:24:24,680 --> 00:24:26,639
Speaker 1: that's a fan of blind trust. That's fine, just divest,

484
00:24:26,720 --> 00:24:29,919
Speaker 1: no big deal. So that's the other piece is, you know,

485
00:24:30,000 --> 00:24:32,680
Speaker 1: pushing towards the investment or blind trust. And then the

486
00:24:32,760 --> 00:24:35,960
Speaker 1: last one in this one also really matters, is Okay,

487
00:24:36,080 --> 00:24:38,800
Speaker 1: let's say you violate the Act, then what happens? Are

488
00:24:38,800 --> 00:24:40,959
Speaker 1: you going to actually give give this thing some teeth

489
00:24:41,320 --> 00:24:45,880
Speaker 1: so that there's a significant fine and real consequences for

490
00:24:46,320 --> 00:24:50,280
Speaker 1: violating the ban on stock trading? Because what we've seen

491
00:24:50,359 --> 00:24:53,240
Speaker 1: with the Stock Act, which just requires transparency, which ended

492
00:24:53,320 --> 00:24:55,840
Speaker 1: up being important because it helped to galvanize public pressure

493
00:24:55,880 --> 00:25:01,359
Speaker 1: around moving further. But when it's routine that members just

494
00:25:01,520 --> 00:25:04,600
Speaker 1: don't file the stuff they're supposed to file, yes, and

495
00:25:04,640 --> 00:25:07,520
Speaker 1: there's no consequence for it's there, it's like a two

496
00:25:07,640 --> 00:25:10,840
Speaker 1: hundred dollars fine or something utterly pathetic, and no one

497
00:25:10,880 --> 00:25:13,280
Speaker 1: seems to really pay attention or ultimately care of very

498
00:25:13,320 --> 00:25:15,840
Speaker 1: few people. So that's the other piece, is making sure

499
00:25:15,880 --> 00:25:18,240
Speaker 1: this thing has actual tea so that members have to comply.

500
00:25:18,440 --> 00:25:20,600
Speaker 1: And also, did you know that there's no public record

501
00:25:20,640 --> 00:25:23,320
Speaker 1: disclosure required on whether you actually paid the fine? What

502
00:25:23,720 --> 00:25:27,080
Speaker 1: kind of enforcement mechanism that's this? Nothing literally not just

503
00:25:27,119 --> 00:25:30,200
Speaker 1: is what happens whenever they are in charge of regulating themselves,

504
00:25:30,240 --> 00:25:32,760
Speaker 1: and the only check on it is our public outrage.

505
00:25:32,840 --> 00:25:36,119
Speaker 1: So from the beginning layout, the timeline unusual. Wales on

506
00:25:36,160 --> 00:25:40,120
Speaker 1: Twitter begins publishing reports as to how exactly these guys

507
00:25:40,119 --> 00:25:42,600
Speaker 1: are beating the market, which is crazy because the best

508
00:25:42,600 --> 00:25:46,000
Speaker 1: paid people on Wall Street routinely do not beat the market.

509
00:25:46,200 --> 00:25:48,880
Speaker 1: Then we begin talking about it here on our show.

510
00:25:49,040 --> 00:25:52,320
Speaker 1: It begins to become a meme on the internet. TikTok

511
00:25:52,359 --> 00:25:54,680
Speaker 1: gets a hold of it, gen Z gets really invested

512
00:25:54,720 --> 00:25:57,640
Speaker 1: within the story. It becomes a ground swell, and eventually

513
00:25:57,640 --> 00:26:00,560
Speaker 1: what happens is Nancy Pelosi is asked about it after

514
00:26:00,680 --> 00:26:04,840
Speaker 1: other journalists journalists began to do investigations into stock trades,

515
00:26:04,920 --> 00:26:08,000
Speaker 1: bipartisan members of Congress, she says, well, it's a free market.

516
00:26:08,280 --> 00:26:10,240
Speaker 1: All of that. That was a great moment for us,

517
00:26:10,280 --> 00:26:13,920
Speaker 1: because obviously she looked like the out of touch, ultra

518
00:26:14,040 --> 00:26:16,440
Speaker 1: networth high individual that she is. It was a mask

519
00:26:16,480 --> 00:26:19,400
Speaker 1: off moment, and the public was like, hey, screw you.

520
00:26:19,400 --> 00:26:22,400
Speaker 1: You shouldn't be able to trade stocks. This became I mean,

521
00:26:22,440 --> 00:26:24,600
Speaker 1: I saw Dave Portnoy talking about it. I saw people

522
00:26:24,600 --> 00:26:26,760
Speaker 1: all the left talking about it. It became a real

523
00:26:26,880 --> 00:26:30,879
Speaker 1: piece of the internet zeitgeist. From there, Congressman had to

524
00:26:30,880 --> 00:26:33,639
Speaker 1: begin to respond. John Ossoff introduces a bill Josh Holly

525
00:26:33,680 --> 00:26:36,600
Speaker 1: introduces a bill. There are now twenty separate bills that

526
00:26:36,680 --> 00:26:40,480
Speaker 1: are working their way through Congress. However, the establishment is

527
00:26:40,520 --> 00:26:42,439
Speaker 1: fighting back in every way that they can. We know

528
00:26:42,560 --> 00:26:44,320
Speaker 1: that Joe Biden was supposed to have it in the

529
00:26:44,400 --> 00:26:46,760
Speaker 1: draft vision of his State of the Union, was supposed

530
00:26:46,800 --> 00:26:49,080
Speaker 1: to call for a stock band on Congress, and it

531
00:26:49,160 --> 00:26:53,120
Speaker 1: was taken us. Every other laundry list, the box thing

532
00:26:53,240 --> 00:26:55,879
Speaker 1: was in that State of the Unions. Oh, identity politics,

533
00:26:56,880 --> 00:27:01,640
Speaker 1: every little identity politics, every lgbtqu gets a little check mark.

534
00:27:01,640 --> 00:27:04,560
Speaker 1: But stock braid, stock band, Oh no, we can't have

535
00:27:04,680 --> 00:27:08,360
Speaker 1: that whatsoever. That's what the priorities are in Washington right now.

536
00:27:08,440 --> 00:27:10,959
Speaker 1: So just goes to show you, really, just shows you

537
00:27:11,160 --> 00:27:14,359
Speaker 1: how powerful that the people inside are fighting back against this.

538
00:27:14,640 --> 00:27:17,640
Speaker 1: And remember the average net worth in Congress is well

539
00:27:17,680 --> 00:27:20,560
Speaker 1: over a million dollars. Most of these people are wildly,

540
00:27:20,920 --> 00:27:25,000
Speaker 1: wildly rich and successful, which is great. It's a free country.

541
00:27:25,320 --> 00:27:28,720
Speaker 1: And if you want to keep making money, don't run

542
00:27:28,920 --> 00:27:32,160
Speaker 1: for Congress. If you actually want to serve, then you don't.

543
00:27:32,359 --> 00:27:34,840
Speaker 1: Then you have to give up that part. I mean service.

544
00:27:35,040 --> 00:27:38,240
Speaker 1: Do we think about what we ask the people who

545
00:27:38,240 --> 00:27:40,800
Speaker 1: sign up for in the uniform. That's right, right, Our

546
00:27:40,840 --> 00:27:45,000
Speaker 1: service members they get paid dog like nothing. They don't

547
00:27:45,000 --> 00:27:47,200
Speaker 1: get paid well. Their lives are subject to the whims

548
00:27:47,240 --> 00:27:49,639
Speaker 1: of the military. They have all sorts of restrictions on

549
00:27:49,840 --> 00:27:52,720
Speaker 1: what they can and can't do, even outside whenever they're

550
00:27:52,720 --> 00:27:55,399
Speaker 1: off duty. But we recognize it as a service, and

551
00:27:55,400 --> 00:27:57,959
Speaker 1: then we take care of them after they leave the uniform.

552
00:27:58,800 --> 00:28:01,040
Speaker 1: Oh yeah, well we should. Obviously we don't do the

553
00:28:01,040 --> 00:28:04,199
Speaker 1: best burn pits, you know, VA reform, et cetera. But

554
00:28:04,280 --> 00:28:08,160
Speaker 1: there's a social contract now with Congress. We don't seem

555
00:28:08,240 --> 00:28:10,479
Speaker 1: we seem to have thrown all of that completely out

556
00:28:10,520 --> 00:28:13,840
Speaker 1: of the window and let these people become wildly rich.

557
00:28:13,880 --> 00:28:16,280
Speaker 1: I mean, Nancy Pelosi and her husband have increased her

558
00:28:16,359 --> 00:28:19,680
Speaker 1: net worth by something like one hundred million dollars since

559
00:28:19,760 --> 00:28:24,160
Speaker 1: she first entered office. That's crazy town. With active trading

560
00:28:24,440 --> 00:28:27,639
Speaker 1: of options and things based upon things which are moving

561
00:28:27,640 --> 00:28:29,800
Speaker 1: through Congress in which she's the Speaker of the House.

562
00:28:29,800 --> 00:28:32,399
Speaker 1: It's ludicrous. But I think it's important to think about

563
00:28:32,520 --> 00:28:35,680
Speaker 1: why there's been movement on this because it's so unlikely, right,

564
00:28:35,760 --> 00:28:39,240
Speaker 1: because this is something that actually impacts like directly, members

565
00:28:39,240 --> 00:28:41,959
Speaker 1: of Congress of the ability to cash in on their position,

566
00:28:42,600 --> 00:28:46,280
Speaker 1: So why is there any movement on this thing whatsoever?

567
00:28:46,840 --> 00:28:50,440
Speaker 1: And I think when the snowball really started to pick

568
00:28:50,520 --> 00:28:53,320
Speaker 1: up speed was actually when Kevin McCarthy said, Hey, we're

569
00:28:53,360 --> 00:28:55,040
Speaker 1: going to run on this in the midterms, Yes, you

570
00:28:55,080 --> 00:28:56,920
Speaker 1: know right. And whether or not they're full of shit

571
00:28:57,000 --> 00:29:00,479
Speaker 1: or have any credibility on like corruption, ethics, whatsoever, the

572
00:29:00,560 --> 00:29:06,000
Speaker 1: fact that there was this horseshoe bipartisan populous outrage about

573
00:29:06,040 --> 00:29:11,240
Speaker 1: this thing. That's what made this movement so powerful. Because

574
00:29:11,320 --> 00:29:14,280
Speaker 1: if it was just on the right, then Democrats would

575
00:29:14,320 --> 00:29:15,960
Speaker 1: just dismiss it and ignore it. If it was just

576
00:29:16,040 --> 00:29:18,960
Speaker 1: on the left, then Democrats would also just dismiss it

577
00:29:18,960 --> 00:29:22,560
Speaker 1: and ignore it because they're perfectly content to stick it

578
00:29:22,600 --> 00:29:25,160
Speaker 1: to their own base all day long. But since you

579
00:29:25,240 --> 00:29:28,320
Speaker 1: had it coming from all parts of the political spectrum,

580
00:29:28,560 --> 00:29:31,800
Speaker 1: it made it very difficult ultimately for them to resist

581
00:29:32,040 --> 00:29:33,880
Speaker 1: and also made it so that, you know, some of

582
00:29:33,880 --> 00:29:37,400
Speaker 1: these members realized that it was to their political benefit

583
00:29:37,480 --> 00:29:39,400
Speaker 1: to try to get out in front of it and

584
00:29:39,480 --> 00:29:42,920
Speaker 1: be the face of some sort of reform effort ultimately here.

585
00:29:43,320 --> 00:29:47,160
Speaker 1: So that's what made it so incredibly powerful. And you know,

586
00:29:47,200 --> 00:29:50,960
Speaker 1: I'm talking in my monologue today about Christian Small's Amazon

587
00:29:51,040 --> 00:29:53,600
Speaker 1: labor union going on with Tarker Carlson and the freak

588
00:29:53,640 --> 00:29:56,720
Speaker 1: out over that. But if you really want to have

589
00:29:56,800 --> 00:29:59,760
Speaker 1: something that actually happens in this country, you have to

590
00:29:59,800 --> 00:30:04,440
Speaker 1: have a movement that brings in some different ideological perspectives.

591
00:30:04,800 --> 00:30:07,600
Speaker 1: That's the only way you ultimately really can put pressure

592
00:30:07,640 --> 00:30:10,200
Speaker 1: on these people. Otherwise they just respond to their donor base,

593
00:30:10,240 --> 00:30:13,080
Speaker 1: and that's that. So I think that has been such

594
00:30:13,080 --> 00:30:17,160
Speaker 1: a critical part of why there's actually been movement, Why

595
00:30:17,160 --> 00:30:19,800
Speaker 1: you've just had the first ever House hearing, why you

596
00:30:19,840 --> 00:30:21,880
Speaker 1: have so many different versions of this bill, why the

597
00:30:21,880 --> 00:30:24,720
Speaker 1: provisions are being debated right now. It's one of the

598
00:30:24,800 --> 00:30:28,880
Speaker 1: few hopeful things within the actual political system, and so

599
00:30:29,040 --> 00:30:31,440
Speaker 1: to study this and understand how this all went down

600
00:30:31,560 --> 00:30:33,760
Speaker 1: is so important. So I think the two key moments

601
00:30:33,800 --> 00:30:36,880
Speaker 1: are Nancy Pelosi mask off saying, well, it's a free market.

602
00:30:37,200 --> 00:30:39,920
Speaker 1: That comes because she actually subjected herself to some question,

603
00:30:40,040 --> 00:30:42,720
Speaker 1: get asked the right question and actually says what she thinks,

604
00:30:42,880 --> 00:30:45,920
Speaker 1: which creates this large level of outrage that causes the

605
00:30:46,000 --> 00:30:47,920
Speaker 1: right to jump in on it. Kevin McCarthy saying we're

606
00:30:47,960 --> 00:30:50,000
Speaker 1: running on this on the midterms, and then you were

607
00:30:50,080 --> 00:30:53,360
Speaker 1: kind of off to the races to put forward some

608
00:30:53,520 --> 00:30:56,000
Speaker 1: kind of proposal that people are going to respond well

609
00:30:56,000 --> 00:30:58,240
Speaker 1: to and feel like you were actually somewhat responsive to

610
00:30:58,280 --> 00:31:01,520
Speaker 1: their needs. Yeah, it really is just amazing, amazing story

611
00:31:01,800 --> 00:31:03,600
Speaker 1: that we should all once again chat out to on

612
00:31:03,720 --> 00:31:05,840
Speaker 1: usual Wales. He's the guy who started this whole thing,

613
00:31:06,000 --> 00:31:11,520
Speaker 1: and we owe him a very big debt. Some of

614
00:31:11,560 --> 00:31:16,320
Speaker 1: the early speculation for twenty twenty four on the Democratic

615
00:31:16,480 --> 00:31:19,960
Speaker 1: primary side, and first of all, it's extraordinary that it's

616
00:31:19,960 --> 00:31:22,800
Speaker 1: even a question, yes, so the Democratic nominee will be.

617
00:31:23,280 --> 00:31:26,040
Speaker 1: It's really more of a question on the Democratic side

618
00:31:26,040 --> 00:31:28,320
Speaker 1: who the nominee would be than it is on the

619
00:31:28,360 --> 00:31:31,440
Speaker 1: Republican side. If Trump runs, he is all but certain

620
00:31:31,480 --> 00:31:34,160
Speaker 1: to be the Republican nominee, and in fact, polling bears

621
00:31:34,200 --> 00:31:37,200
Speaker 1: out that he is in a stronger position as not

622
00:31:37,400 --> 00:31:40,719
Speaker 1: the president currently with the Republican base than Biden is

623
00:31:40,720 --> 00:31:44,040
Speaker 1: with the Democratic base, which is extraordinary in and of itself.

624
00:31:44,160 --> 00:31:46,000
Speaker 1: But let's go and put this Washington Post hairs sheet

625
00:31:46,080 --> 00:31:48,840
Speaker 1: up on the screen, so they have these things are

626
00:31:48,880 --> 00:31:52,480
Speaker 1: so silly, but they have ranked the top ten Democratic

627
00:31:52,560 --> 00:31:57,440
Speaker 1: presidential candidates for twenty twenty four and in a gigantic

628
00:31:57,840 --> 00:32:02,040
Speaker 1: snub to Vice President Kamala Harris. They have actually placed

629
00:32:02,040 --> 00:32:05,840
Speaker 1: Pete Budhajeedge in front of her in line, so top

630
00:32:05,840 --> 00:32:08,240
Speaker 1: contender they have President Biden. Of course that makes sense,

631
00:32:08,240 --> 00:32:10,120
Speaker 1: he is the incumbent president. You would think it would

632
00:32:10,120 --> 00:32:11,719
Speaker 1: be a lock, but he's not a lot. But anyway,

633
00:32:12,280 --> 00:32:15,920
Speaker 1: he's in the pole position there. Previously in this list

634
00:32:15,960 --> 00:32:18,719
Speaker 1: they had Kamala ahead of Pete, which also should be

635
00:32:18,760 --> 00:32:22,040
Speaker 1: a no brainer sitting vice president, I mean, very commonly

636
00:32:22,040 --> 00:32:24,719
Speaker 1: throughout American history. Of course, the vice president ends up

637
00:32:24,760 --> 00:32:27,600
Speaker 1: going on to be the party's next nominee. But they

638
00:32:27,640 --> 00:32:30,640
Speaker 1: make the case here, and I think not incorrectly that

639
00:32:30,720 --> 00:32:34,400
Speaker 1: she hasn't exactly delivered in the vice presidential role. Really,

640
00:32:34,400 --> 00:32:36,800
Speaker 1: it's been an opportunity for her to highlight how not

641
00:32:37,080 --> 00:32:38,920
Speaker 1: up to the task and not up to the job

642
00:32:38,960 --> 00:32:42,560
Speaker 1: that she ultimately is. And listen, I'm no fan of Pete,

643
00:32:42,640 --> 00:32:45,680
Speaker 1: I'm no fan of Kamala. Their politics are basically the same,

644
00:32:45,720 --> 00:32:49,560
Speaker 1: which is sort of like just pure ambition combined with

645
00:32:49,720 --> 00:32:54,480
Speaker 1: standard issue neoliberalism. But Pete at least ran an effective campaign,

646
00:32:54,520 --> 00:32:58,320
Speaker 1: whereas Kamala didn't even make it to the Democratic primary

647
00:32:58,360 --> 00:33:02,000
Speaker 1: to have a single voter cast their ballot. The entire list.

648
00:33:02,080 --> 00:33:03,480
Speaker 1: Let me just read through the list and that we

649
00:33:03,480 --> 00:33:06,040
Speaker 1: can talk more about Kamala and Pete. So one is Biden,

650
00:33:06,040 --> 00:33:08,680
Speaker 1: Two is Pete? Three is Kamala. Four they have Elizabeth

651
00:33:08,680 --> 00:33:13,200
Speaker 1: Warren Lol. Five they have Amy Klobash are also lol. Six.

652
00:33:13,280 --> 00:33:15,840
Speaker 1: They have Roy Cooper who no one is even ever

653
00:33:15,920 --> 00:33:19,480
Speaker 1: heard of. He's Carolina, He's the governor. He's Carolina. Yeah.

654
00:33:19,560 --> 00:33:22,560
Speaker 1: Even I had to be like, who's that dude? Again? Yeah,

655
00:33:22,600 --> 00:33:25,880
Speaker 1: I think that's the governor, right, so, governor of North

656
00:33:25,920 --> 00:33:28,080
Speaker 1: Carolina who literally no one's ever heard of. Roy Cooper

657
00:33:28,400 --> 00:33:31,960
Speaker 1: shared Brown who you know, he's not like a crazy

658
00:33:32,000 --> 00:33:33,920
Speaker 1: one to put on the list. They love this guy's

659
00:33:34,080 --> 00:33:37,000
Speaker 1: profile and he has good labor politics, which I really appreciate.

660
00:33:37,120 --> 00:33:40,560
Speaker 1: Is sort of like a midwestern populist figure center from

661
00:33:40,600 --> 00:33:44,120
Speaker 1: Ohio still wins in a state that is trended hard

662
00:33:44,240 --> 00:33:48,600
Speaker 1: right in recent years. And you know the thing with him,

663
00:33:48,680 --> 00:33:51,440
Speaker 1: he took a pass last time around, And the thing

664
00:33:51,480 --> 00:33:54,680
Speaker 1: with him is like on paper, he's kind of appealing

665
00:33:54,720 --> 00:33:56,600
Speaker 1: because he can win in this tough state and like

666
00:33:56,640 --> 00:33:59,200
Speaker 1: I said, he's got this kind of like labor populist

667
00:33:59,240 --> 00:34:01,760
Speaker 1: orientation I find appealing. But then when you hear him

668
00:34:01,800 --> 00:34:03,960
Speaker 1: speak is not very He doesn't have a lot of

669
00:34:04,120 --> 00:34:07,680
Speaker 1: natural charisma. Maybe that's a selling point. Maybe people like

670
00:34:07,760 --> 00:34:09,920
Speaker 1: that he just feels like, you know, a little bit

671
00:34:10,000 --> 00:34:12,160
Speaker 1: less of the sort of Polish politician. But anyway, that's

672
00:34:12,160 --> 00:34:16,440
Speaker 1: shared brown. Number eight Corey Booker, Why again, remind me

673
00:34:16,480 --> 00:34:18,840
Speaker 1: how he did in the trimeray last time? Remember Andrew

674
00:34:18,880 --> 00:34:21,600
Speaker 1: Yang beat him in order to get on the stage. Yes, great,

675
00:34:21,680 --> 00:34:25,400
Speaker 1: that's a good memory there. Number nine is even more perplexing.

676
00:34:25,760 --> 00:34:29,680
Speaker 1: Gavin Newsom. Yeah, yeah, let's do the French laundry guy. Literally,

677
00:34:29,760 --> 00:34:32,680
Speaker 1: who wants that? Dude? I mean, other than him, he

678
00:34:32,760 --> 00:34:36,279
Speaker 1: clearly wants to be president. Is anyone else interested? No,

679
00:34:36,520 --> 00:34:38,239
Speaker 1: but that's the kind of person who makes this list.

680
00:34:38,239 --> 00:34:41,600
Speaker 1: And number ten AOC who you know, I think has

681
00:34:42,440 --> 00:34:44,080
Speaker 1: made it so that she is never going to be

682
00:34:44,120 --> 00:34:47,080
Speaker 1: in a position to a national election. I just want

683
00:34:47,160 --> 00:34:50,600
Speaker 1: to be nice, Okay. So one of the things that

684
00:34:50,640 --> 00:34:54,400
Speaker 1: I'll put in here that was interesting is they said,

685
00:34:54,560 --> 00:34:57,040
Speaker 1: you know, they were trying to figure out who might

686
00:34:57,080 --> 00:34:59,880
Speaker 1: be the progressive, who might be the person that like

687
00:35:00,320 --> 00:35:03,399
Speaker 1: the Bernie types could get behind. And let me read

688
00:35:03,440 --> 00:35:05,880
Speaker 1: to you what they say here about Elizabeth Warren, who

689
00:35:05,960 --> 00:35:08,919
Speaker 1: they kind of, you know, put into that slot, even

690
00:35:08,920 --> 00:35:12,799
Speaker 1: though obviously Bernie world not so much in love with

691
00:35:12,800 --> 00:35:16,239
Speaker 1: Elizabeth Warren anymore these days, they say. Sanders camp has

692
00:35:16,280 --> 00:35:19,759
Speaker 1: suggested Biden will face a progressive challenger in twenty twenty four,

693
00:35:20,160 --> 00:35:22,480
Speaker 1: but exactly who would that wing of the party line

694
00:35:22,560 --> 00:35:25,920
Speaker 1: up behind. Politico reported recently that top Sanders' aids have

695
00:35:25,960 --> 00:35:28,640
Speaker 1: gotten involved in setting up the field for twenty twenty four,

696
00:35:28,680 --> 00:35:31,640
Speaker 1: but by pushing for Roe Kanna to run, rather than

697
00:35:31,680 --> 00:35:34,680
Speaker 1: by building up Warren. Sanderson Warren have often been Alli's

698
00:35:34,680 --> 00:35:37,200
Speaker 1: but their twenty twenty presisdential campaigns got pretty ugly with

699
00:35:37,239 --> 00:35:40,239
Speaker 1: one another. Center for Massachusetts also has a reelection bid

700
00:35:40,280 --> 00:35:42,960
Speaker 1: in twenty twenty four, which she has said she'll pursue.

701
00:35:43,640 --> 00:35:48,680
Speaker 1: It irks me that there apparently is some effort from

702
00:35:48,880 --> 00:35:52,960
Speaker 1: people around Sanders to kind of like put a candidate forward,

703
00:35:53,239 --> 00:35:57,160
Speaker 1: as if the grassroots base that supported Bernie wouldn't have

704
00:35:57,239 --> 00:36:00,640
Speaker 1: something to say about that. And you know, there are

705
00:36:00,680 --> 00:36:03,160
Speaker 1: plenty of things that we've praised Congressman ConA for I

706
00:36:03,160 --> 00:36:06,680
Speaker 1: think he's been pretty good on foreign policy, but in

707
00:36:06,760 --> 00:36:11,279
Speaker 1: recent weeks he's been really it's hard to distinguish his

708
00:36:11,400 --> 00:36:14,600
Speaker 1: rhetoric from sort of the standard issue democratic lane, you know,

709
00:36:14,680 --> 00:36:19,840
Speaker 1: corporate democrat lane of the party. Problem. Yes, his wife

710
00:36:20,120 --> 00:36:23,360
Speaker 1: has invested in these military industrial complex stocks, and he

711
00:36:23,600 --> 00:36:26,000
Speaker 1: said like basically, oh, that's fine, there's no problem with that.

712
00:36:26,000 --> 00:36:27,719
Speaker 1: Spouses should be able to do what they want to do.

713
00:36:28,280 --> 00:36:30,400
Speaker 1: It's what are you, like, what are you doing right now?

714
00:36:30,520 --> 00:36:34,640
Speaker 1: He also he just gave an interview with Politico where

715
00:36:34,640 --> 00:36:37,560
Speaker 1: he said that the problem with Build Back Better was

716
00:36:37,560 --> 00:36:42,480
Speaker 1: that progressives didn't compromise fast enough or far enough with

717
00:36:42,640 --> 00:36:45,680
Speaker 1: Joe Manchin, and that he didn't think that, you know,

718
00:36:45,880 --> 00:36:48,200
Speaker 1: that Joe Manchin was He seemed to indicate he didn't

719
00:36:48,200 --> 00:36:50,600
Speaker 1: think Joe Manchin was corrupt. It was just an ideological difference,

720
00:36:50,600 --> 00:36:53,440
Speaker 1: which again is like at this point, when you've seen

721
00:36:53,600 --> 00:36:55,640
Speaker 1: like the money he gets from the oil and gas

722
00:36:55,680 --> 00:36:58,759
Speaker 1: industry and the direct profits into his pockets from the

723
00:36:58,760 --> 00:37:01,560
Speaker 1: coal industry, you still say that this dude is just like, oh,

724
00:37:01,840 --> 00:37:04,920
Speaker 1: acting in good faith as kind of absurd. So anyway,

725
00:37:05,000 --> 00:37:07,319
Speaker 1: it irritated me that they would think that they could

726
00:37:07,400 --> 00:37:11,799
Speaker 1: like just foist a candidate onto a grossroots base, and

727
00:37:11,920 --> 00:37:13,680
Speaker 1: you think that they were going to just accept them

728
00:37:13,719 --> 00:37:16,920
Speaker 1: without any question. It's ludicrous. It's ridiculous. Also, when you

729
00:37:16,920 --> 00:37:18,560
Speaker 1: put it that way, it actually kind of reminds me

730
00:37:18,680 --> 00:37:20,920
Speaker 1: sometimes of the Maga Wars, when people are like, no,

731
00:37:21,000 --> 00:37:22,719
Speaker 1: this is the real miracle first, and you have like

732
00:37:22,760 --> 00:37:25,560
Speaker 1: maga people around Trump who are trying to define what

733
00:37:25,600 --> 00:37:27,399
Speaker 1: it means, and it's like, no, it just only Trump

734
00:37:27,480 --> 00:37:29,799
Speaker 1: gets to decide. And I think in this case even

735
00:37:29,800 --> 00:37:31,880
Speaker 1: Bernie doesn't really get to decide because at the end

736
00:37:31,880 --> 00:37:34,600
Speaker 1: of the day, as we saw with Trump's endorsements, it

737
00:37:34,640 --> 00:37:37,560
Speaker 1: doesn't always work out. Yeah, are people they think how

738
00:37:37,600 --> 00:37:39,600
Speaker 1: they want. Many people who are saying they are Trump's

739
00:37:39,600 --> 00:37:42,040
Speaker 1: supporters say, look, I like Trump himself, but I'm not

740
00:37:42,040 --> 00:37:44,040
Speaker 1: going to do everything that the guy tells me. And

741
00:37:44,080 --> 00:37:46,719
Speaker 1: that's what bothers me. Also about the Sanders camp, I'm like,

742
00:37:46,760 --> 00:37:49,640
Speaker 1: you don't speak for the Sanders movement. The Sanders movement,

743
00:37:49,800 --> 00:37:52,560
Speaker 1: I think, at its best, was an amalgamation and a

744
00:37:52,600 --> 00:37:55,959
Speaker 1: coalition of a lot of disparate groups. You have people

745
00:37:56,000 --> 00:37:59,200
Speaker 1: all the way from a Ron pau libertarian perspective to

746
00:37:59,320 --> 00:38:04,000
Speaker 1: the AOC like identitarian wing, to the economic populist, the

747
00:38:04,200 --> 00:38:07,359
Speaker 1: union folks, and then you know, like the limbus, star

748
00:38:07,520 --> 00:38:10,160
Speaker 1: sewers and Tamika mallories of the world like. It was

749
00:38:10,200 --> 00:38:13,480
Speaker 1: always kind of a strange group of bedfellow which is fine.

750
00:38:13,480 --> 00:38:17,239
Speaker 1: I mean that's what political movements are. Yeah, exactly. Many

751
00:38:17,280 --> 00:38:21,120
Speaker 1: times they have internacing like war and they don't agree

752
00:38:21,520 --> 00:38:23,960
Speaker 1: on everything. But Bernie was able to speak to a

753
00:38:24,040 --> 00:38:26,120
Speaker 1: very large group of people. Why I think he was

754
00:38:26,160 --> 00:38:29,920
Speaker 1: probably the most successful progressive politician of my lifetime. Well,

755
00:38:29,920 --> 00:38:34,680
Speaker 1: he had a genuinely working class, young, working class, multi

756
00:38:34,840 --> 00:38:37,319
Speaker 1: racial base. I mean that was that was the core.

757
00:38:37,360 --> 00:38:38,960
Speaker 1: I mean, remember when we used to look at where

758
00:38:38,960 --> 00:38:41,560
Speaker 1: his donations came from. It's like bar Starbucks workers and

759
00:38:41,600 --> 00:38:43,960
Speaker 1: Amazon workers and lo and behold, look at who is

760
00:38:44,040 --> 00:38:47,520
Speaker 1: you know has this grosser's movement now? So anyway, yeah, listen.

761
00:38:47,600 --> 00:38:49,759
Speaker 1: It's also this is how the Washington Post is spitting it,

762
00:38:49,800 --> 00:38:52,319
Speaker 1: and it may not be totally accurate, but that sort

763
00:38:52,320 --> 00:38:54,560
Speaker 1: of eared. I think the main story out of this

764
00:38:54,719 --> 00:38:57,200
Speaker 1: is that Kamala is number three. I mean that's which

765
00:38:57,239 --> 00:39:00,600
Speaker 1: is that the Secretary of Transportation, who took time off

766
00:39:00,640 --> 00:39:04,040
Speaker 1: while he was doing his clearly very important job, is

767
00:39:04,080 --> 00:39:07,279
Speaker 1: the guy who is speeding the sitting vice president of

768
00:39:07,360 --> 00:39:11,400
Speaker 1: the United States in Washington. I can guarantee this caused

769
00:39:11,440 --> 00:39:14,880
Speaker 1: a stir. I bet yeah, she threw the newspaper. Or

770
00:39:14,920 --> 00:39:16,800
Speaker 1: what if she still reads the newspaper. I don't actually know.

771
00:39:17,000 --> 00:39:21,040
Speaker 1: She definitely reads. I bet she freezes, definitely, and her

772
00:39:21,120 --> 00:39:25,640
Speaker 1: comms director and all these people are absolutely how dare you?

773
00:39:25,680 --> 00:39:28,680
Speaker 1: And threats are being made behind the scenes. So in

774
00:39:28,719 --> 00:39:31,640
Speaker 1: that regard, this thing makes me smile because you just

775
00:39:31,960 --> 00:39:34,719
Speaker 1: know the Simone Sanders and all of them of the

776
00:39:34,719 --> 00:39:39,919
Speaker 1: world are so pissed off watching Pete Boudage Edge eclipse them.

777
00:39:40,080 --> 00:39:43,400
Speaker 1: And look, these elite games do matter. Let's be honest

778
00:39:43,480 --> 00:39:45,480
Speaker 1: in terms of the DNC, in terms of the people

779
00:39:45,480 --> 00:39:47,600
Speaker 1: in this town who matter. They all read that list

780
00:39:47,640 --> 00:39:50,120
Speaker 1: and they all probably privately agree. It just shows you

781
00:39:50,160 --> 00:39:52,799
Speaker 1: how awful of a politician that she actually Well, that's

782
00:39:52,800 --> 00:39:56,440
Speaker 1: the thing is, if you're a candidate running to be

783
00:39:56,560 --> 00:39:59,560
Speaker 1: in sort of like the Bernie grassroots lane, this kind

784
00:39:59,600 --> 00:40:01,600
Speaker 1: of crop really doesn't make it over it. Do you

785
00:40:01,640 --> 00:40:04,040
Speaker 1: think that there's a single Sanders voter who's, like the

786
00:40:04,200 --> 00:40:07,360
Speaker 1: Washington Post says, I should get behind Elizabeth wore at

787
00:40:06,920 --> 00:40:10,160
Speaker 1: least you know, no, But if you are trying to

788
00:40:10,200 --> 00:40:14,040
Speaker 1: play the inside establishment, game. These sorts of things do matter,

789
00:40:14,120 --> 00:40:16,120
Speaker 1: and especially this is the sort of stuff that the

790
00:40:16,160 --> 00:40:18,640
Speaker 1: donor class reads. I don't know if you all remember

791
00:40:18,680 --> 00:40:21,400
Speaker 1: we covered reports that there were like already secret meetings

792
00:40:21,480 --> 00:40:24,839
Speaker 1: of the billionaire and the hundred millionaire class to try

793
00:40:24,880 --> 00:40:27,160
Speaker 1: to figure out how they could push Pete ahead of

794
00:40:27,239 --> 00:40:30,880
Speaker 1: Kamala in line. But the bigger picture here too is

795
00:40:31,000 --> 00:40:34,600
Speaker 1: just they have apparently done one of these lists before,

796
00:40:35,080 --> 00:40:37,839
Speaker 1: and they've always assumed, like, let's just take Biden out

797
00:40:37,880 --> 00:40:40,360
Speaker 1: of it, because we assume that if Biden runs, you

798
00:40:40,440 --> 00:40:43,239
Speaker 1: will be the nominee. But they actually go through this

799
00:40:43,280 --> 00:40:45,640
Speaker 1: one and say, you know what, looking at the polling,

800
00:40:45,880 --> 00:40:49,160
Speaker 1: that's not at all clear because a you gov poll

801
00:40:49,280 --> 00:40:53,120
Speaker 1: recently found that only twenty one percent of Democratic leaning

802
00:40:53,160 --> 00:40:55,760
Speaker 1: voter said Joe Biden would be their choice. Yeah, twenty

803
00:40:55,800 --> 00:40:58,800
Speaker 1: one percent. So in the same poll Trump had forty

804
00:40:58,800 --> 00:41:03,840
Speaker 1: three percent, not sure undecided, had almost as large of

805
00:41:03,880 --> 00:41:06,680
Speaker 1: a percentage as Joe Biden did, And by the way,

806
00:41:07,120 --> 00:41:09,680
Speaker 1: it was eighteen percent who said they didn't know. And

807
00:41:09,719 --> 00:41:12,400
Speaker 1: by the way, the next two in line were Kamala

808
00:41:12,480 --> 00:41:15,399
Speaker 1: Harris and Bernie Sanders, who each had fourteen percent. Now,

809
00:41:15,400 --> 00:41:17,600
Speaker 1: Bernie has all but ruled out running again. I mean,

810
00:41:18,840 --> 00:41:22,160
Speaker 1: he's yeah, and you know, it still seems like physically

811
00:41:22,200 --> 00:41:24,160
Speaker 1: mentally sharb or whatever. But he had a heart attack

812
00:41:24,239 --> 00:41:27,120
Speaker 1: during the last campaigns, so we cannot have an eighty

813
00:41:27,160 --> 00:41:30,600
Speaker 1: eight years old Yeah. So I mean, listen, if he ran,

814
00:41:30,680 --> 00:41:33,879
Speaker 1: i'd still I'd still support the values in the vision.

815
00:41:33,920 --> 00:41:35,800
Speaker 1: But I don't think he's on the table this time.

816
00:41:36,200 --> 00:41:40,680
Speaker 1: But that basically just pointed to the fact that they

817
00:41:40,880 --> 00:41:43,680
Speaker 1: there is no consensus in the Democratic Party, that even

818
00:41:43,719 --> 00:41:46,160
Speaker 1: the base of the Democratic Party is like, I'm not

819
00:41:46,200 --> 00:41:49,279
Speaker 1: sure about Joe again, and they're like, and Kamala is

820
00:41:49,360 --> 00:41:53,160
Speaker 1: not looking how high. So it is hard to understate

821
00:41:53,280 --> 00:41:57,120
Speaker 1: how extraordinary it is to have a sitting Democratic president

822
00:41:57,200 --> 00:42:01,200
Speaker 1: and have this level of total uncertainty about who the

823
00:42:01,239 --> 00:42:04,880
Speaker 1: next nominee might ultimately be. Blood in the water. It

824
00:42:04,960 --> 00:42:07,680
Speaker 1: is really pretty wild. Let's get to this next part.

825
00:42:07,719 --> 00:42:09,600
Speaker 1: Go ahead and throw this up on the screen. Here, guys,

826
00:42:10,040 --> 00:42:13,200
Speaker 1: we are looking at some new poll numbers that show

827
00:42:13,239 --> 00:42:17,640
Speaker 1: that seventy five percent of Americans think that Amazon workers

828
00:42:17,760 --> 00:42:22,040
Speaker 1: need a union. Eighty three percent of respondence age eighteen

829
00:42:22,200 --> 00:42:26,120
Speaker 1: to thirty four back Amazon labor union, seventy one percent

830
00:42:26,200 --> 00:42:29,360
Speaker 1: of young Trump voters support the Amazon union, So that

831
00:42:29,440 --> 00:42:31,000
Speaker 1: shows you, I mean, there's a little bit of a

832
00:42:31,000 --> 00:42:37,200
Speaker 1: partisan divide here, but it really is overwhelming support for

833
00:42:37,320 --> 00:42:40,080
Speaker 1: workers to have at Amazon union. And one of the

834
00:42:40,080 --> 00:42:43,080
Speaker 1: things that I found really interesting here, Sager, is that,

835
00:42:43,560 --> 00:42:46,360
Speaker 1: you know, we've talked about before how Amazon, the company

836
00:42:46,400 --> 00:42:50,000
Speaker 1: itself like people like it. It's convenient your stuff really quickly,

837
00:42:50,040 --> 00:42:54,240
Speaker 1: and they found, in fact, Amazon had ninety one percent

838
00:42:54,400 --> 00:42:57,640
Speaker 1: approval rating of people that like it. But people were

839
00:42:57,680 --> 00:43:00,800
Speaker 1: able to see both like I enjoy getting my products

840
00:43:00,880 --> 00:43:04,000
Speaker 1: quickly and having the everything store there and the convenience

841
00:43:04,040 --> 00:43:08,040
Speaker 1: that that entails, but I also really strongly feel that

842
00:43:08,080 --> 00:43:10,600
Speaker 1: their workers should be treated decently and have some say

843
00:43:10,680 --> 00:43:13,480
Speaker 1: in their workplace. So I found that really really interesting,

844
00:43:13,520 --> 00:43:16,600
Speaker 1: and you know it, really the support was across the board.

845
00:43:16,680 --> 00:43:20,040
Speaker 1: There was a little bit of a generational divide here,

846
00:43:20,160 --> 00:43:23,520
Speaker 1: so older Trump voters in particular were probably the most skeptical,

847
00:43:23,560 --> 00:43:28,080
Speaker 1: but they still still sixty six percent of older Trump

848
00:43:28,120 --> 00:43:31,719
Speaker 1: supporters also thought that, you know, Amazon workers should have

849
00:43:31,760 --> 00:43:35,640
Speaker 1: a union. So I think it also puts into perspective

850
00:43:36,080 --> 00:43:38,120
Speaker 1: all the freak out that we talked about yesterday about

851
00:43:38,160 --> 00:43:40,399
Speaker 1: Christian Smells, who's of course the president of Amazon Labor

852
00:43:40,480 --> 00:43:44,000
Speaker 1: Union going on with Coucker Carlson, and like the fact

853
00:43:44,000 --> 00:43:47,799
Speaker 1: that these One of the arguments that I saw made

854
00:43:47,800 --> 00:43:50,480
Speaker 1: online about why he shouldn't go on is because Tucker's

855
00:43:50,520 --> 00:43:54,719
Speaker 1: audience isn't persuadable. And it's like Tucker's audience is apparently

856
00:43:54,719 --> 00:43:57,400
Speaker 1: already persuaded. Yes, at least a significant part of them

857
00:43:57,440 --> 00:44:01,480
Speaker 1: are already on board, So you know you're actually going

858
00:44:01,840 --> 00:44:04,600
Speaker 1: When you go on any network, whether they're speaking to

859
00:44:04,640 --> 00:44:07,120
Speaker 1: a right wing audience, a left wing audience, a liberal audience,

860
00:44:07,200 --> 00:44:10,120
Speaker 1: or anywhere in between, you are likely to find a

861
00:44:10,160 --> 00:44:13,680
Speaker 1: lot of receptivity because the support is so incredibly overwhelming. Look,

862
00:44:13,719 --> 00:44:17,320
Speaker 1: YouTube comments are not obviously a good metric, you know, a

863
00:44:17,280 --> 00:44:19,760
Speaker 1: a judge thing. That being said, I actually was curious,

864
00:44:19,760 --> 00:44:21,160
Speaker 1: so I went I looked at the comments on your

865
00:44:21,160 --> 00:44:23,360
Speaker 1: monologue yesterday because I knew it was going to resonate

866
00:44:23,400 --> 00:44:26,120
Speaker 1: with some Tucker and conservative folks. There were an overwhelming

867
00:44:26,200 --> 00:44:28,920
Speaker 1: number of comments. And look, our audience is also disproportionately

868
00:44:29,040 --> 00:44:32,200
Speaker 1: very young, so millennials and gen z almost entirely make

869
00:44:32,280 --> 00:44:34,479
Speaker 1: up like ninety something percent of the people who watch

870
00:44:34,560 --> 00:44:37,120
Speaker 1: the show. So that's another reason I'm curious. So I'm

871
00:44:37,120 --> 00:44:40,600
Speaker 1: going and I'm reading the comments, and overwhelmingly people are like, hey, Chrystally,

872
00:44:40,640 --> 00:44:43,200
Speaker 1: you changed my mind on unions, or they say, look,

873
00:44:43,239 --> 00:44:46,080
Speaker 1: I'm still skeptical of big labor and of a lot

874
00:44:46,080 --> 00:44:48,360
Speaker 1: of the people talking about social justice and that stuff.

875
00:44:48,360 --> 00:44:51,720
Speaker 1: But Chris Small seems like a legitimately a good faith

876
00:44:51,800 --> 00:44:55,040
Speaker 1: activist who is just fighting for better workers' rights. And also,

877
00:44:55,480 --> 00:44:58,800
Speaker 1: it's true the basic argument of we need some balance

878
00:44:58,840 --> 00:45:03,120
Speaker 1: by the workforce again this giant behemoth. Nobody disagreed with that.

879
00:45:03,120 --> 00:45:05,600
Speaker 1: That is see that is the most powerful, which is

880
00:45:05,640 --> 00:45:09,240
Speaker 1: that when you disaggregate this from broader identity politics, culture

881
00:45:09,280 --> 00:45:12,160
Speaker 1: war fights. How can you look at the largest, second

882
00:45:12,239 --> 00:45:15,480
Speaker 1: largest employer of individuals in the United States having all

883
00:45:15,560 --> 00:45:19,200
Speaker 1: the power over its entire workforce and say, hey, maybe

884
00:45:19,239 --> 00:45:21,760
Speaker 1: they should have a say in how long their break

885
00:45:21,800 --> 00:45:26,920
Speaker 1: is and there are wages, working conditions. You know, Americans

886
00:45:26,960 --> 00:45:28,960
Speaker 1: are good people. They don't want to see people taking

887
00:45:29,160 --> 00:45:32,480
Speaker 1: advantage of. Most people also still believe in free market capitalism,

888
00:45:32,600 --> 00:45:34,520
Speaker 1: so they'll look at that and say, look, Bezos, it's

889
00:45:34,520 --> 00:45:36,320
Speaker 1: cool you got rich all of that. I think you

890
00:45:36,360 --> 00:45:38,959
Speaker 1: should probably pay more taxes. But the people who built

891
00:45:39,000 --> 00:45:41,040
Speaker 1: your company, for you should have a say in their

892
00:45:41,120 --> 00:45:44,320
Speaker 1: day to day lives. How many Americans at any level

893
00:45:44,360 --> 00:45:47,319
Speaker 1: of the stack quote unquote are able to relate with

894
00:45:47,440 --> 00:45:50,000
Speaker 1: Your boss just says, and it makes you do something

895
00:45:50,200 --> 00:45:52,480
Speaker 1: that you know is ridiculous, but you just have to

896
00:45:52,520 --> 00:45:57,239
Speaker 1: blindly follow. And that level of indignity compounds across your

897
00:45:57,280 --> 00:46:00,400
Speaker 1: life and it makes you depressed. It makes you feel

898
00:46:00,640 --> 00:46:03,480
Speaker 1: like less than human, and you have to go and explore.

899
00:46:03,920 --> 00:46:05,440
Speaker 1: You know, you have to go take a drink or

900
00:46:05,440 --> 00:46:08,120
Speaker 1: smoke a cigarette or whatever just to forget your problems.

901
00:46:08,160 --> 00:46:10,600
Speaker 1: I mean that how much of that is? How much

902
00:46:10,640 --> 00:46:12,880
Speaker 1: of that am I describing of the everyday life of

903
00:46:12,960 --> 00:46:15,000
Speaker 1: the average American? I don't think that's going to go

904
00:46:15,040 --> 00:46:18,399
Speaker 1: away ever, but you know, having some say in that

905
00:46:18,600 --> 00:46:21,279
Speaker 1: there has real consequences for people's lives. It's huge. And

906
00:46:21,600 --> 00:46:23,880
Speaker 1: I think people want to they want to order stuff

907
00:46:23,880 --> 00:46:26,880
Speaker 1: from Amazon. They want to feel good about all that

908
00:46:26,920 --> 00:46:29,719
Speaker 1: type of stuff from Amazon, you know, and I think

909
00:46:29,760 --> 00:46:34,239
Speaker 1: everyone sees how extraordinarily profitable I mean the billions of

910
00:46:34,360 --> 00:46:37,520
Speaker 1: billions of dollars that Amazon raked in from all of

911
00:46:37,600 --> 00:46:41,320
Speaker 1: us during the pandemic. And so there's also an awareness

912
00:46:41,320 --> 00:46:44,360
Speaker 1: of like no you could afford to treat like this

913
00:46:44,640 --> 00:46:47,040
Speaker 1: union is not going to destroy your business. Like, no

914
00:46:47,040 --> 00:46:50,040
Speaker 1: one's going to believe that about Amazon. They feel like

915
00:46:50,280 --> 00:46:52,359
Speaker 1: you could afford to treat your workers a little bit

916
00:46:52,360 --> 00:46:54,240
Speaker 1: better and let them have a little bit of say

917
00:46:54,320 --> 00:46:56,800
Speaker 1: in their workplace so that they don't have to suffer

918
00:46:56,840 --> 00:46:59,359
Speaker 1: the indignities that we've talked about here. I mean, one

919
00:46:59,400 --> 00:47:01,879
Speaker 1: of the things that Chris always talks about, and other

920
00:47:01,920 --> 00:47:05,040
Speaker 1: Amazon workers that we've spoken with always speak about is

921
00:47:05,200 --> 00:47:09,720
Speaker 1: just the inhumanity of having this automated system that hires

922
00:47:09,719 --> 00:47:12,480
Speaker 1: and fires you. You're not even dealing with a human being.

923
00:47:12,920 --> 00:47:15,920
Speaker 1: And New York Times we talked to Jodi Canter remember

924
00:47:15,960 --> 00:47:18,719
Speaker 1: about what a mess their HR system is through all

925
00:47:18,719 --> 00:47:22,359
Speaker 1: of these automated processes where people are getting fired for

926
00:47:22,480 --> 00:47:25,200
Speaker 1: no reason, through no fault of their own, and there's

927
00:47:25,320 --> 00:47:27,600
Speaker 1: just like no recourse. You can't even get a human

928
00:47:27,640 --> 00:47:30,440
Speaker 1: being on the phone to explain what the hell happened

929
00:47:30,640 --> 00:47:33,719
Speaker 1: or to try to get your job reinstated. So that's

930
00:47:33,760 --> 00:47:38,520
Speaker 1: the kind of like automated algorithmic tyranny that they live

931
00:47:38,640 --> 00:47:42,160
Speaker 1: under every single day. There was actually a post that

932
00:47:42,239 --> 00:47:45,080
Speaker 1: was floating around of Amazon had posted at one of

933
00:47:45,120 --> 00:47:48,600
Speaker 1: their facilities on Easter Sunday. So these workers who came

934
00:47:48,640 --> 00:47:51,440
Speaker 1: in on Easter Sunday, they were like, thanks for coming

935
00:47:51,480 --> 00:47:55,680
Speaker 1: in on Easter Sunday as a reward if you have

936
00:47:56,040 --> 00:47:58,399
Speaker 1: this high It was like three hundred and fifteen raiate.

937
00:47:58,440 --> 00:48:00,399
Speaker 1: I don't know what that translates to, but I'm sure

938
00:48:00,400 --> 00:48:03,640
Speaker 1: it's some sort of nightmarish warehouse pace. Then you get

939
00:48:03,760 --> 00:48:10,240
Speaker 1: entered into a raffle four ships Minnesota. It's like, that's

940
00:48:10,400 --> 00:48:13,760
Speaker 1: your reward for us giving up our holiday and coming

941
00:48:13,800 --> 00:48:17,080
Speaker 1: in and slaving away for you. It shows the level

942
00:48:17,239 --> 00:48:21,160
Speaker 1: of contempt that they have ultimately for these workers. So

943
00:48:21,480 --> 00:48:24,000
Speaker 1: I think it's extraordinary. I just want to highlight, you know,

944
00:48:24,200 --> 00:48:28,920
Speaker 1: at this point because union favorability is so high, because

945
00:48:29,280 --> 00:48:32,440
Speaker 1: there has been such a shift in consciousness during the

946
00:48:32,480 --> 00:48:35,719
Speaker 1: pandemic of who does what in this society and who

947
00:48:35,840 --> 00:48:38,960
Speaker 1: really makes this thing run, And there's been a lot of,

948
00:48:39,960 --> 00:48:42,719
Speaker 1: you know, people who were previously sort of invisible in

949
00:48:42,760 --> 00:48:45,520
Speaker 1: the society. Warehouse workers doing the work behind the scenes

950
00:48:45,520 --> 00:48:48,400
Speaker 1: have become a lot more visible to folks who understand

951
00:48:48,719 --> 00:48:52,840
Speaker 1: the incredibly essential work that they've been doing, truly to

952
00:48:52,960 --> 00:48:55,920
Speaker 1: keep the country running. And so it's easy to take

953
00:48:55,960 --> 00:48:58,640
Speaker 1: for granted that there would be this positive sentiment in

954
00:48:58,719 --> 00:49:01,319
Speaker 1: favor of a union at AA Amazon. But this is

955
00:49:01,480 --> 00:49:06,560
Speaker 1: a complete sea change from just not long ago at all.

956
00:49:07,040 --> 00:49:10,120
Speaker 1: I mean, when I was doing regular Fox News hits,

957
00:49:10,200 --> 00:49:13,759
Speaker 1: the anti union stuff was every day, all day. It

958
00:49:13,840 --> 00:49:16,279
Speaker 1: was very popular with the base. You know, we'd had

959
00:49:16,360 --> 00:49:21,320
Speaker 1: decades of anti union propaganda, convincing people of all sorts

960
00:49:21,320 --> 00:49:23,600
Speaker 1: of lies about what unions actually are and what they

961
00:49:23,640 --> 00:49:26,520
Speaker 1: actually mean. And I do think that with Chris Mall's

962
00:49:26,560 --> 00:49:29,040
Speaker 1: and with the Amazon labor Union, obviously it is very

963
00:49:29,040 --> 00:49:31,759
Speaker 1: critical of AOC and others for not showing up for

964
00:49:31,800 --> 00:49:33,920
Speaker 1: them when it really counted, when they were you know,

965
00:49:34,000 --> 00:49:37,080
Speaker 1: before they ultimately cast ballots. I think it's ended up

966
00:49:37,120 --> 00:49:39,600
Speaker 1: being a blessing in disguise, though, because it means that

967
00:49:39,640 --> 00:49:42,239
Speaker 1: they haven't been associated with any sort of partisan game.

968
00:49:43,120 --> 00:49:46,279
Speaker 1: They just are in and of them themselves, you know,

969
00:49:46,520 --> 00:49:49,320
Speaker 1: and sort of judged on the merits of what they're doing.

970
00:49:49,360 --> 00:49:51,520
Speaker 1: So it makes it hard to just put it into

971
00:49:51,600 --> 00:49:53,399
Speaker 1: a part. It's in space, and I do think that's

972
00:49:53,400 --> 00:49:55,120
Speaker 1: part of what's contributing to these very high nights. We

973
00:49:55,120 --> 00:49:57,480
Speaker 1: talked about this yesterday, you know, Staten Island is a

974
00:49:57,920 --> 00:49:59,920
Speaker 1: Trump country. I don't think a lot of people realiz,

975
00:50:00,800 --> 00:50:03,040
Speaker 1: guess who. They're all watching Tucker, so they're like, oh,

976
00:50:03,080 --> 00:50:06,000
Speaker 1: you are on Tuka. That's like a big thing, you know,

977
00:50:06,080 --> 00:50:09,279
Speaker 1: in terms of credibility for him. And I think that

978
00:50:09,320 --> 00:50:12,240
Speaker 1: the reason that all of this matters is, if anything,

979
00:50:12,480 --> 00:50:15,040
Speaker 1: the more grassroots it is, the better that it is

980
00:50:15,120 --> 00:50:17,359
Speaker 1: going to succeed. The less it gets attached to our

981
00:50:17,400 --> 00:50:20,759
Speaker 1: culture war and to our broader American political agenda, the

982
00:50:20,760 --> 00:50:24,440
Speaker 1: worse that a political movement is going to fare. So Chris,

983
00:50:24,719 --> 00:50:28,200
Speaker 1: God bless you, stay independent, don't let anybody try and

984
00:50:28,239 --> 00:50:30,720
Speaker 1: take hold of this thing, and stay true to yourself.

985
00:50:30,880 --> 00:50:32,840
Speaker 1: The more that you do, the more you're going to succeed.

986
00:50:32,880 --> 00:50:35,000
Speaker 1: And that's why that we've seen the level of success

987
00:50:35,000 --> 00:50:39,960
Speaker 1: that he has had. Taylor Lorenz is at it again.

988
00:50:40,200 --> 00:50:43,520
Speaker 1: I mean, I can barely believe how exactly this is

989
00:50:43,520 --> 00:50:46,640
Speaker 1: all played out in the last several hours. So let's

990
00:50:46,640 --> 00:50:48,239
Speaker 1: start from the top, which is that there is an

991
00:50:48,280 --> 00:50:50,799
Speaker 1: account called Libs of TikTok. You guys have probably heard

992
00:50:50,800 --> 00:50:52,719
Speaker 1: about it. Joe Rogan has talked about it. It's a

993
00:50:52,800 --> 00:50:54,800
Speaker 1: very popular one. I think it has around six hundred

994
00:50:54,800 --> 00:50:58,319
Speaker 1: thousand followers by the time I checked this morning. Now, Yeah,

995
00:50:58,360 --> 00:51:00,800
Speaker 1: six hundred and fifty. There we go. So this account

996
00:51:00,880 --> 00:51:05,080
Speaker 1: surfaces videos making fun of liberals on TikTok. Often it

997
00:51:05,080 --> 00:51:08,359
Speaker 1: can be trans stuff, identity stuff, LGB whatever, you know,

998
00:51:08,680 --> 00:51:11,320
Speaker 1: I identify as a dog or I identify it's a

999
00:51:11,320 --> 00:51:13,279
Speaker 1: lot of it's a lot of it's culture war. It's

1000
00:51:13,360 --> 00:51:16,759
Speaker 1: critical culture war mills. That's what this account is. That's

1001
00:51:16,880 --> 00:51:19,319
Speaker 1: sometimes it's funny and sometimes I find it offensive, and

1002
00:51:19,360 --> 00:51:21,280
Speaker 1: that's what it is. Yeah, I'm mostly find it funny.

1003
00:51:21,520 --> 00:51:24,359
Speaker 1: Uh So, this person has been doing this now for

1004
00:51:24,440 --> 00:51:26,520
Speaker 1: about a year, maybe a year and a half or so.

1005
00:51:26,719 --> 00:51:30,000
Speaker 1: It's become a very popular following and it's definitely become, frankly,

1006
00:51:30,040 --> 00:51:31,799
Speaker 1: in my opinion, one of the most important kind of

1007
00:51:31,800 --> 00:51:34,960
Speaker 1: conservative activists in the entire country if you care a

1008
00:51:34,960 --> 00:51:36,640
Speaker 1: lot about the culture war. And I'm saying that as

1009
00:51:36,680 --> 00:51:39,160
Speaker 1: an objective statement in terms of the level of influence

1010
00:51:39,400 --> 00:51:43,560
Speaker 1: that it has had. Now that account has been run anonymously,

1011
00:51:43,960 --> 00:51:46,480
Speaker 1: the author has or the I guess the owner of

1012
00:51:46,520 --> 00:51:48,960
Speaker 1: the account, has done some interviews but has gone to

1013
00:51:49,000 --> 00:51:52,560
Speaker 1: great links in order to protect her anonymity. She's done

1014
00:51:52,600 --> 00:51:55,839
Speaker 1: interviews on Fox News. She's done interviews on podcasts as well,

1015
00:51:55,880 --> 00:51:57,440
Speaker 1: but has said that she doesn't want to reveal her

1016
00:51:57,480 --> 00:51:59,680
Speaker 1: face simply because of how much of a target that

1017
00:51:59,719 --> 00:52:03,040
Speaker 1: she is for many of the online harassment crowd. Well,

1018
00:52:03,640 --> 00:52:07,120
Speaker 1: we found out late last night that journalist Taylor Lorenz,

1019
00:52:07,120 --> 00:52:10,440
Speaker 1: who we've talked about here, who has decried online harassment,

1020
00:52:10,600 --> 00:52:15,279
Speaker 1: who broke down crying on NBC News because she says

1021
00:52:15,320 --> 00:52:18,080
Speaker 1: that people are coming after her and her personal identity.

1022
00:52:18,160 --> 00:52:19,920
Speaker 1: I don't want to minimize that. I actually think that

1023
00:52:19,920 --> 00:52:21,920
Speaker 1: that's awful and I don't think anybody should have to

1024
00:52:21,960 --> 00:52:26,000
Speaker 1: experience that. Well, it turns out that she docksed this

1025
00:52:26,160 --> 00:52:28,239
Speaker 1: woman and revealed her name. Now, I'm not going to

1026
00:52:28,280 --> 00:52:30,200
Speaker 1: read her name here on the air, but let's gohe

1027
00:52:30,200 --> 00:52:33,320
Speaker 1: and put this up there on the screen. Now, she says,

1028
00:52:33,600 --> 00:52:37,719
Speaker 1: meet the woman behind libs of TikTok, secretly fueling the

1029
00:52:37,800 --> 00:52:41,719
Speaker 1: right wings outrage machine. In it, she points to the

1030
00:52:41,760 --> 00:52:46,080
Speaker 1: anonymous impacts, deep and deep and far reaching movement. Its

1031
00:52:46,120 --> 00:52:49,239
Speaker 1: content is amplified by high profile media figures. She has

1032
00:52:49,280 --> 00:52:52,360
Speaker 1: appeared on Tucker Carlson, it's been referenced on Fox News,

1033
00:52:52,719 --> 00:52:55,560
Speaker 1: and then immediately begins to quote all of these fake

1034
00:52:55,920 --> 00:53:00,400
Speaker 1: identity experts about how the account is bringing violence against

1035
00:53:00,400 --> 00:53:04,759
Speaker 1: trans people or violence against people for simply highlighting videos

1036
00:53:04,960 --> 00:53:09,080
Speaker 1: that these people post themselves publicly, and then saying that

1037
00:53:09,080 --> 00:53:12,440
Speaker 1: this is in some way inciting harassment and crystal what

1038
00:53:12,560 --> 00:53:15,640
Speaker 1: I found most objectionable. Number One, she tries, of course,

1039
00:53:15,680 --> 00:53:17,640
Speaker 1: in order to tie this to Joe Rogan. She's like, oh,

1040
00:53:17,760 --> 00:53:20,600
Speaker 1: Joe Rogan, you know, cited it once as a further

1041
00:53:20,640 --> 00:53:23,600
Speaker 1: evidence that he's some crazy right wing activists, even though

1042
00:53:23,640 --> 00:53:25,040
Speaker 1: if you go talk to Joe ask him how he

1043
00:53:25,040 --> 00:53:27,960
Speaker 1: feels about trans people, he'll tell you in his own words.

1044
00:53:28,080 --> 00:53:30,879
Speaker 1: But the second thing is they literally link to her

1045
00:53:30,920 --> 00:53:34,040
Speaker 1: real estate license and they reveal her name. They say

1046
00:53:34,040 --> 00:53:37,200
Speaker 1: exactly the not just area of New York, but the

1047
00:53:37,200 --> 00:53:40,480
Speaker 1: specific neighborhood of New York that she lives in, citing

1048
00:53:40,760 --> 00:53:43,800
Speaker 1: you know who she this person is, and that level

1049
00:53:44,040 --> 00:53:48,800
Speaker 1: of identification is just ludicrous, especially in the context of

1050
00:53:48,880 --> 00:53:51,839
Speaker 1: this entire article, which is meant to paint her as

1051
00:53:51,840 --> 00:53:54,200
Speaker 1: some sort of hate bongerer. Now, I personally think there

1052
00:53:54,239 --> 00:53:56,080
Speaker 1: is a story to be told about the lives of

1053
00:53:56,120 --> 00:53:59,320
Speaker 1: TikTok account. I've spoken about it offline privately with my friends.

1054
00:53:59,480 --> 00:54:01,600
Speaker 1: Like I said, I think it's crazy this account came

1055
00:54:01,600 --> 00:54:04,880
Speaker 1: out of nowhere and legitimately became probably the most important

1056
00:54:04,920 --> 00:54:06,919
Speaker 1: right wing account in the entire country. And I don't

1057
00:54:06,960 --> 00:54:09,000
Speaker 1: mean that like I said, I mean I think it's

1058
00:54:09,000 --> 00:54:13,120
Speaker 1: probably single handedly responsible for the Florida legislation on not

1059
00:54:13,160 --> 00:54:15,200
Speaker 1: being able to talk about sexual identity to kids who

1060
00:54:15,200 --> 00:54:17,840
Speaker 1: are k through three. I think it's probably responsible for,

1061
00:54:18,560 --> 00:54:21,040
Speaker 1: along with Christopher Rufo, for a lot of the critical

1062
00:54:21,200 --> 00:54:24,480
Speaker 1: of race theory legislation that has gone across the country.

1063
00:54:24,640 --> 00:54:27,120
Speaker 1: And objectively, like, when you look at it, that story

1064
00:54:27,200 --> 00:54:29,320
Speaker 1: is interesting and I think it should be told actually,

1065
00:54:29,480 --> 00:54:32,480
Speaker 1: but instead this is just a bad faith critique and

1066
00:54:32,480 --> 00:54:34,760
Speaker 1: it's clearly meant to docs her, to ruin this woman's life,

1067
00:54:34,840 --> 00:54:37,359
Speaker 1: and it's just how can Taylor square that with what

1068
00:54:37,480 --> 00:54:40,560
Speaker 1: she has done and said about what has happened that

1069
00:54:40,640 --> 00:54:44,759
Speaker 1: to her? The part is if you are Taylor Lorenz

1070
00:54:45,080 --> 00:54:47,879
Speaker 1: and you have put yourself out there as like, oh,

1071
00:54:48,000 --> 00:54:52,560
Speaker 1: I can't be criticized, because that means that if you

1072
00:54:52,760 --> 00:54:57,319
Speaker 1: criticize me, you are intentionally causing people to bully and

1073
00:54:57,440 --> 00:55:00,520
Speaker 1: harass me. And that is you know, out of if

1074
00:55:00,600 --> 00:55:02,600
Speaker 1: you say my name, She has said that ye say

1075
00:55:02,640 --> 00:55:06,000
Speaker 1: her full name, but that is out of bounds. How

1076
00:55:06,040 --> 00:55:08,400
Speaker 1: can you then turn around and write a story like

1077
00:55:08,440 --> 00:55:11,360
Speaker 1: this and not apply that same principle of aren't you

1078
00:55:11,440 --> 00:55:15,359
Speaker 1: inciting harassment against this person? Now? I think this story

1079
00:55:15,400 --> 00:55:17,880
Speaker 1: is a little bit complicated because I think this person

1080
00:55:17,960 --> 00:55:20,440
Speaker 1: really walks the line of whether or not they should

1081
00:55:20,440 --> 00:55:23,200
Speaker 1: count as a public figure. Right she would very much

1082
00:55:23,239 --> 00:55:25,360
Speaker 1: say I'm just a private citizen doing my thing. But

1083
00:55:25,640 --> 00:55:28,719
Speaker 1: to your point, number one, the account is very influential,

1084
00:55:29,080 --> 00:55:33,480
Speaker 1: and number two, she has done you know, public interviews.

1085
00:55:33,600 --> 00:55:35,640
Speaker 1: I think she was on with Tucker Carlson, and she's

1086
00:55:35,680 --> 00:55:38,560
Speaker 1: been on other podcasts and things like that as well.

1087
00:55:38,719 --> 00:55:42,040
Speaker 1: So it's there's a very blurry line here as to

1088
00:55:42,080 --> 00:55:44,680
Speaker 1: whether or not this individual should be viewed in the

1089
00:55:44,800 --> 00:55:47,640
Speaker 1: light of just a private citizen doing their thing or

1090
00:55:47,719 --> 00:55:51,279
Speaker 1: a public figure. However, there is no there is zero

1091
00:55:51,440 --> 00:55:54,040
Speaker 1: doubt that Taylor Lorens is a public figure who has

1092
00:55:54,160 --> 00:55:57,279
Speaker 1: chosen a career working at you know, some of the

1093
00:55:57,320 --> 00:56:01,120
Speaker 1: most prestigious and well known journalistic outlets the entire country.

1094
00:56:01,480 --> 00:56:04,160
Speaker 1: So there's you know, they're not on a par here,

1095
00:56:04,239 --> 00:56:06,600
Speaker 1: is what I'm trying to say. I think that this

1096
00:56:06,680 --> 00:56:13,600
Speaker 1: comes back to they're basically jealous that And I relate

1097
00:56:13,680 --> 00:56:16,319
Speaker 1: to this that the right wing is so good at

1098
00:56:16,360 --> 00:56:19,279
Speaker 1: the culture war that they're able to conjure out of

1099
00:56:19,400 --> 00:56:23,600
Speaker 1: thin air this language about you know, critical race theory

1100
00:56:23,600 --> 00:56:26,120
Speaker 1: and like inserted into mainstream conversation and make it a

1101
00:56:26,160 --> 00:56:29,359
Speaker 1: campaign issue just like that out of nothing. Sure, right

1102
00:56:29,760 --> 00:56:35,080
Speaker 1: and the left and liberals in particular are just not

1103
00:56:35,440 --> 00:56:38,120
Speaker 1: good at doing that, and so I think there's a

1104
00:56:38,160 --> 00:56:41,960
Speaker 1: frustration with how successful all of this has been. And

1105
00:56:42,000 --> 00:56:45,400
Speaker 1: again I share that frustration because I think, you know,

1106
00:56:45,400 --> 00:56:47,840
Speaker 1: I was just reading in Florida they banned like forty

1107
00:56:47,880 --> 00:56:51,440
Speaker 1: two math textbooks that just talked about had nothing offensive

1108
00:56:51,480 --> 00:56:53,880
Speaker 1: in them whatsoever. I mean, the stuff has gone completely

1109
00:56:53,880 --> 00:56:56,440
Speaker 1: over the top. The law is about you can't make

1110
00:56:56,480 --> 00:56:59,359
Speaker 1: anyone uncomfortable when you're teaching history. I think that's all

1111
00:56:59,440 --> 00:57:02,279
Speaker 1: completely ridiculous, and I think it is censorship that is

1112
00:57:02,320 --> 00:57:05,360
Speaker 1: a problem that nobody who cares about like free speech

1113
00:57:05,400 --> 00:57:10,520
Speaker 1: and having open and honest discussions should support. But the

1114
00:57:11,120 --> 00:57:14,000
Speaker 1: real problem here is that they're just sort of jealous

1115
00:57:14,000 --> 00:57:16,280
Speaker 1: that the right has been so good at this and

1116
00:57:16,320 --> 00:57:19,640
Speaker 1: that they're unable to do it themselves. So rather than

1117
00:57:20,120 --> 00:57:23,240
Speaker 1: directly going after the arguments rather than offering their own

1118
00:57:23,320 --> 00:57:27,560
Speaker 1: effective counter narrative. The strategy is instead, let's, you know,

1119
00:57:27,720 --> 00:57:31,480
Speaker 1: let's destroy this personal let's destroyed this account. Let's somehow

1120
00:57:31,560 --> 00:57:34,560
Speaker 1: tar Joe Rogan is part of this program because he's

1121
00:57:34,920 --> 00:57:37,160
Speaker 1: you know, they've made him into his own sort of

1122
00:57:37,200 --> 00:57:41,800
Speaker 1: like cultural signifier, culture war issue, and that's the direction

1123
00:57:41,880 --> 00:57:43,600
Speaker 1: they go in. But listen, I think the big thing

1124
00:57:43,640 --> 00:57:46,880
Speaker 1: here is just the kind of hypocrisy to be someone

1125
00:57:46,880 --> 00:57:49,440
Speaker 1: who on the one hand cries about being a victim

1126
00:57:49,440 --> 00:57:52,760
Speaker 1: of harassment if you dare talk about them a criticize them,

1127
00:57:52,800 --> 00:57:54,800
Speaker 1: and on the other hand, going out of your way

1128
00:57:54,880 --> 00:57:57,880
Speaker 1: to you know, reveal the identity of someone who clearly

1129
00:57:57,920 --> 00:58:01,520
Speaker 1: wants to be remain anonymous, and of course you know

1130
00:58:01,560 --> 00:58:03,960
Speaker 1: there's going to be harassment of this person. I think

1131
00:58:03,960 --> 00:58:06,400
Speaker 1: your point you're making is very important, which is that, look,

1132
00:58:06,480 --> 00:58:11,400
Speaker 1: if this person lives of TikTok was spreading falsely editing

1133
00:58:11,520 --> 00:58:17,240
Speaker 1: videos and then posting them or posting fake videos, then

1134
00:58:17,400 --> 00:58:20,160
Speaker 1: that's a whole other discussion. But guess there's not single

1135
00:58:20,200 --> 00:58:23,120
Speaker 1: thing that's in this article, nothing false has ever been posted.

1136
00:58:23,400 --> 00:58:25,840
Speaker 1: And I think that one of the reasons the account

1137
00:58:25,880 --> 00:58:28,360
Speaker 1: is so powerful it's because it simply just clips you know,

1138
00:58:28,600 --> 00:58:30,600
Speaker 1: what these people are saying and then plays it for you,

1139
00:58:30,640 --> 00:58:32,040
Speaker 1: and you're like, oh my god, I can't even believe

1140
00:58:32,080 --> 00:58:33,960
Speaker 1: this is real. I can't believe this person exists. And

1141
00:58:34,240 --> 00:58:36,920
Speaker 1: that is why I think it has been so successful.

1142
00:58:37,240 --> 00:58:40,080
Speaker 1: So when you look at it, there's no critique as

1143
00:58:40,120 --> 00:58:43,600
Speaker 1: to or engagement really with why does the account resonate

1144
00:58:43,880 --> 00:58:45,680
Speaker 1: in the first place. What are the some of the

1145
00:58:45,680 --> 00:58:48,480
Speaker 1: stuff that they are posting, which is doing very well?

1146
00:58:48,720 --> 00:58:52,360
Speaker 1: What if you can find evidence of her posting something fake,

1147
00:58:52,680 --> 00:58:55,640
Speaker 1: be my guest, to my knowledge, that has not yet happened.

1148
00:58:55,720 --> 00:58:58,600
Speaker 1: So when you look at what this is and why

1149
00:58:58,640 --> 00:59:02,000
Speaker 1: it's resonating, why is actly people feel fed up? I mean,

1150
00:59:02,000 --> 00:59:03,520
Speaker 1: I would dispute that it came out of nothing. I

1151
00:59:03,560 --> 00:59:05,640
Speaker 1: mean I think it was. There's a very real, organic

1152
00:59:05,680 --> 00:59:07,760
Speaker 1: movement behind a lot of the things that libs of

1153
00:59:07,800 --> 00:59:11,840
Speaker 1: TikTok highlights, and that she basically focused it posted to

1154
00:59:11,840 --> 00:59:14,560
Speaker 1: the most extreme examples and made people aware of how

1155
00:59:14,680 --> 00:59:18,600
Speaker 1: insane some of this stuff actually is. So anyway, the story,

1156
00:59:18,760 --> 00:59:22,920
Speaker 1: in my opinion is this account really has come from

1157
00:59:23,560 --> 00:59:26,600
Speaker 1: like you said, nothing as literally didn't exist and then

1158
00:59:26,640 --> 00:59:28,920
Speaker 1: became one of the most prominent accounts in the United States.

1159
00:59:29,400 --> 00:59:32,200
Speaker 1: That's crazy. I think it's a cool story actually, And

1160
00:59:32,240 --> 00:59:33,640
Speaker 1: you know, if it was a liberal account, it would

1161
00:59:33,640 --> 00:59:35,640
Speaker 1: get like hay geographic treatment of like, oh my god,

1162
00:59:35,680 --> 00:59:38,120
Speaker 1: how this account has changed in the world. And you know,

1163
00:59:38,200 --> 00:59:41,160
Speaker 1: like that's like this one right is oh we got

1164
00:59:41,160 --> 00:59:44,160
Speaker 1: a doctor, she's anti trans you know, they throw all

1165
00:59:44,200 --> 00:59:46,520
Speaker 1: the worst labels. Yeah. Well, and I also want to

1166
00:59:46,520 --> 00:59:49,400
Speaker 1: be clear, like the account most of what it does

1167
00:59:49,680 --> 00:59:53,200
Speaker 1: is like repost what the cringiest libs say on tiktalk R.

1168
00:59:53,320 --> 00:59:56,720
Speaker 1: That's like it is, it's like and so that's another

1169
00:59:56,760 --> 01:00:00,960
Speaker 1: thing that like, personally, I don't well, I don't like

1170
01:00:01,000 --> 01:00:02,640
Speaker 1: this content when it comes to the left or the

1171
01:00:02,720 --> 01:00:05,440
Speaker 1: right of just picking out like the most ridiculous person

1172
01:00:05,760 --> 01:00:08,000
Speaker 1: and trying to like this is something we really avoid

1173
01:00:08,040 --> 01:00:10,760
Speaker 1: doing on this show. You'll never see us doing the

1174
01:00:10,840 --> 01:00:15,720
Speaker 1: like care melts down over whatever. Like I don't like

1175
01:00:15,880 --> 01:00:19,520
Speaker 1: that direction of politics, using anecdotes to smear an entire

1176
01:00:19,680 --> 01:00:23,080
Speaker 1: group of people. But that's not to say I mean

1177
01:00:23,240 --> 01:00:27,080
Speaker 1: that is done commonly online. It's like we're unusual in

1178
01:00:27,120 --> 01:00:29,480
Speaker 1: the fact that we need crime don't go in that direction.

1179
01:00:29,720 --> 01:00:32,440
Speaker 1: It's it's not a crime. And most of what the

1180
01:00:32,440 --> 01:00:35,080
Speaker 1: account does, like I said, is like repost the cringiest

1181
01:00:35,160 --> 01:00:38,160
Speaker 1: lib content on TikTok that you could possibly find, and

1182
01:00:38,200 --> 01:00:41,360
Speaker 1: also add like she does, add some like commentary too.

1183
01:00:41,400 --> 01:00:45,680
Speaker 1: It so I just accurately represent what the account is.

1184
01:00:45,680 --> 01:00:48,080
Speaker 1: So it's not like she's just reposting. She also is

1185
01:00:48,120 --> 01:00:55,480
Speaker 1: adding her commentary. That's not a crime. And in a democracy,

1186
01:00:56,040 --> 01:00:59,320
Speaker 1: you have to accept that there's going to be however

1187
01:00:59,360 --> 01:01:02,400
Speaker 1: you feel about the issues that she's mostly focused on,

1188
01:01:03,000 --> 01:01:05,680
Speaker 1: you have to accept that there's going to be information

1189
01:01:05,880 --> 01:01:10,520
Speaker 1: out there that you don't like that may even be offensive,

1190
01:01:11,440 --> 01:01:14,240
Speaker 1: that there are people who hold views that you don't

1191
01:01:14,360 --> 01:01:18,960
Speaker 1: like that may even be offensive. And so the instinct

1192
01:01:19,000 --> 01:01:24,560
Speaker 1: to instead of engaging with offering more compelling argument, offering

1193
01:01:24,560 --> 01:01:27,640
Speaker 1: a more compelling vision, having your own version of libs

1194
01:01:27,680 --> 01:01:31,240
Speaker 1: of TikTok or whatever that is as effective, the instinct

1195
01:01:31,240 --> 01:01:35,800
Speaker 1: to instead use the power that liberal mainstream outlets have

1196
01:01:35,960 --> 01:01:38,640
Speaker 1: to try to shut these things down. I think that's

1197
01:01:38,680 --> 01:01:41,760
Speaker 1: a bad direction for democracy, and I also think that

1198
01:01:41,880 --> 01:01:44,560
Speaker 1: it doesn't work. Like I don't think it's going to

1199
01:01:44,560 --> 01:01:46,960
Speaker 1: be successful. I think probably Libs of TikTok is now

1200
01:01:47,000 --> 01:01:49,840
Speaker 1: going to be bigger than ever. So congratulations absolutely will be.

1201
01:01:49,920 --> 01:01:51,840
Speaker 1: And you know, in the terms of the email, look

1202
01:01:51,840 --> 01:01:54,400
Speaker 1: at the text in which Taylor talks about her little

1203
01:01:54,440 --> 01:01:56,160
Speaker 1: piece on libs of TikTok. Put us up there on

1204
01:01:56,200 --> 01:01:59,720
Speaker 1: the screen, she says, on Deadline, Hi, Christina, I'm a

1205
01:01:59,760 --> 01:02:02,040
Speaker 1: tech reported at the Washington Post. We are running a

1206
01:02:02,080 --> 01:02:06,840
Speaker 1: story exposing the woman behind lives of TikTok, not featuring profiling.

1207
01:02:07,040 --> 01:02:10,480
Speaker 1: None of that uses the word exposed directly in an

1208
01:02:10,480 --> 01:02:13,280
Speaker 1: email to a source. Also, I love this. If you'd

1209
01:02:13,280 --> 01:02:15,800
Speaker 1: like to comment, please let me know within the next hour.

1210
01:02:16,040 --> 01:02:18,360
Speaker 1: Let me tell you something. Giving somebody only an hour

1211
01:02:18,440 --> 01:02:21,960
Speaker 1: to comment is a BS move, which is made specifically

1212
01:02:22,320 --> 01:02:24,640
Speaker 1: in order to make sure that they don't actually have

1213
01:02:24,680 --> 01:02:27,080
Speaker 1: time in order to formulate a real response, and is

1214
01:02:27,160 --> 01:02:28,880
Speaker 1: done so that you can say you reached out for

1215
01:02:28,920 --> 01:02:31,840
Speaker 1: comment but didn't. And of course Taylor is saying, I'm

1216
01:02:31,880 --> 01:02:34,800
Speaker 1: just doing standard journalistic practice. And you know what, Unfortunately

1217
01:02:34,800 --> 01:02:37,480
Speaker 1: you're right that probably is standard journalistic practice, but it

1218
01:02:37,560 --> 01:02:40,280
Speaker 1: shouldn't be. And it just shows you that she doesn't

1219
01:02:40,280 --> 01:02:43,320
Speaker 1: abide by her own rules. And like you said, look,

1220
01:02:43,480 --> 01:02:45,360
Speaker 1: if you want, if you want to defend some of

1221
01:02:45,440 --> 01:02:47,800
Speaker 1: the things that lives of TikTok or counter it be

1222
01:02:47,920 --> 01:02:51,200
Speaker 1: my guest. Please, I welcome you to try and do it,

1223
01:02:51,400 --> 01:02:54,880
Speaker 1: but you know, attacking her and tryna docks her a

1224
01:02:54,920 --> 01:02:56,760
Speaker 1: she's gonna be bigger than ever. Now we're talking about it.

1225
01:02:56,760 --> 01:02:59,040
Speaker 1: I don't think we've ever mentioned lives of TikTok before. No, no, yeah,

1226
01:02:59,040 --> 01:03:02,000
Speaker 1: actually knowledge we have it. You know, why stay away

1227
01:03:02,000 --> 01:03:03,920
Speaker 1: from a lot of the culture war nonsense. Yeah, that

1228
01:03:04,000 --> 01:03:07,880
Speaker 1: being said, now you know I'm saying I'm reviewing obviously

1229
01:03:07,880 --> 01:03:09,560
Speaker 1: how I think about her, but also I have to

1230
01:03:09,560 --> 01:03:12,880
Speaker 1: defend the account, and I have to stand up for

1231
01:03:13,120 --> 01:03:16,160
Speaker 1: the ability for people to anonymously post what other people

1232
01:03:16,160 --> 01:03:18,880
Speaker 1: are doing in America in the year twenty twenty two.

1233
01:03:18,880 --> 01:03:21,320
Speaker 1: So I hope she's That's the other part that I

1234
01:03:21,360 --> 01:03:24,880
Speaker 1: think it's worth asking yourself, is what was the news

1235
01:03:25,040 --> 01:03:29,800
Speaker 1: value of revealing this person's name, right so to do

1236
01:03:29,840 --> 01:03:32,640
Speaker 1: a story about it, to talk about how even how

1237
01:03:32,680 --> 01:03:36,440
Speaker 1: it came to be that's interes you know, previous political affiliations,

1238
01:03:36,560 --> 01:03:39,280
Speaker 1: how it grew into something that is really significant and

1239
01:03:39,400 --> 01:03:42,000
Speaker 1: is helping to set a sort of right wing agenda.

1240
01:03:42,120 --> 01:03:43,960
Speaker 1: Is getting picked up by Fox News on an almost

1241
01:03:44,000 --> 01:03:48,000
Speaker 1: daily basis. Yeah, I think that's newsworthy. I don't know

1242
01:03:48,360 --> 01:03:51,600
Speaker 1: what news were, Like, what does it add to that

1243
01:03:51,680 --> 01:03:57,040
Speaker 1: story to actually expose this person's name and their profession

1244
01:03:57,040 --> 01:03:59,040
Speaker 1: and their real estate license and all of that. That

1245
01:03:59,200 --> 01:04:02,240
Speaker 1: just seems I just don't see how that adds anything

1246
01:04:02,280 --> 01:04:04,480
Speaker 1: to the conversation that's useful to an understanding of the

1247
01:04:04,480 --> 01:04:07,680
Speaker 1: phenomenon that's going on here. Absolutely right, some very revealing

1248
01:04:08,440 --> 01:04:12,000
Speaker 1: comments were just leaked from Congressman Mode Brooks's right now

1249
01:04:12,120 --> 01:04:16,440
Speaker 1: running for Senate in Alabama, where he actually explains in

1250
01:04:16,640 --> 01:04:21,440
Speaker 1: detail one of the mechanisms for corruption that involves basically

1251
01:04:21,520 --> 01:04:25,520
Speaker 1: lobbyists buying committee chairmanships. This goes into a level of

1252
01:04:25,600 --> 01:04:27,920
Speaker 1: detail that even I didn't know this was exactly how

1253
01:04:27,920 --> 01:04:30,560
Speaker 1: it works. Yeah, so it's quite interesting. Take a listen

1254
01:04:30,560 --> 01:04:32,480
Speaker 1: to what he has to say. Sure that y'all are

1255
01:04:32,600 --> 01:04:38,640
Speaker 1: very much concerned about why our Congress is so unresponsive

1256
01:04:39,240 --> 01:04:42,320
Speaker 1: to the regular needs of America assessors, Why some of

1257
01:04:42,360 --> 01:04:47,760
Speaker 1: these policies that come out are so bizarre, so unfair,

1258
01:04:48,680 --> 01:04:53,880
Speaker 1: so steward against regular Jane and Joe citizens. The reason

1259
01:04:54,040 --> 01:05:00,520
Speaker 1: is simple, special interest routs run Washington. I don't mean

1260
01:05:00,560 --> 01:05:05,160
Speaker 1: that metaphorically, I mean literally now here is how it

1261
01:05:05,320 --> 01:05:10,000
Speaker 1: happens in the House of Representatives. I'll use that as

1262
01:05:10,000 --> 01:05:12,960
Speaker 1: an example because that's where I work. If you want

1263
01:05:13,040 --> 01:05:15,880
Speaker 1: to be chairman of a major committee, you have to

1264
01:05:16,080 --> 01:05:21,280
Speaker 1: purchase it. And the purchase price for a major committee,

1265
01:05:21,920 --> 01:05:25,960
Speaker 1: say like ways and means minimum bid is a million dollars.

1266
01:05:27,320 --> 01:05:31,760
Speaker 1: I'm talking literally here, I'm not talking metaphorically. Okay, we

1267
01:05:31,880 --> 01:05:35,360
Speaker 1: have committees broken down by A group, B, group and

1268
01:05:35,440 --> 01:05:39,800
Speaker 1: C group. C are the cheapest, B are the most expensive,

1269
01:05:40,280 --> 01:05:43,760
Speaker 1: are middling. A is the most expensive. It's the most

1270
01:05:43,800 --> 01:05:47,280
Speaker 1: expensive because those are the committees that the special interest

1271
01:05:47,440 --> 01:05:51,520
Speaker 1: roots care the most about. So where does a congressman

1272
01:05:51,600 --> 01:05:55,400
Speaker 1: come up with a million dollars to be chairman of

1273
01:05:55,400 --> 01:05:58,360
Speaker 1: one of these A committees. You can't get it from

1274
01:05:58,440 --> 01:06:01,640
Speaker 1: Joe and Jane citizen because joined sane citizen back home,

1275
01:06:02,040 --> 01:06:05,440
Speaker 1: they're not going to be contributing that kind of money.

1276
01:06:06,320 --> 01:06:08,360
Speaker 1: They don't have it. They need that money for their

1277
01:06:08,360 --> 01:06:12,320
Speaker 1: own families. Okay, let me finish, Let me finish. And

1278
01:06:12,400 --> 01:06:17,040
Speaker 1: so you have to get it from the special interest groups.

1279
01:06:17,400 --> 01:06:19,840
Speaker 1: And with the special interest groups, there is a quit

1280
01:06:20,000 --> 01:06:23,000
Speaker 1: pro flow. If you don't do what they tell you

1281
01:06:23,040 --> 01:06:25,480
Speaker 1: to do, they won't give you the money that finances

1282
01:06:25,480 --> 01:06:31,440
Speaker 1: your chairmanship. I had one guy who ran for chairman

1283
01:06:31,560 --> 01:06:35,040
Speaker 1: of the NRCC, which is where the Republicans pay their

1284
01:06:35,080 --> 01:06:38,360
Speaker 1: money for these committee assignments and chairmanships, just as the

1285
01:06:38,440 --> 01:06:42,560
Speaker 1: Democrats pay theirs to the d Triple C. And this

1286
01:06:42,600 --> 01:06:45,720
Speaker 1: guy who wanted to be chair of the NRCC actually

1287
01:06:45,800 --> 01:06:50,440
Speaker 1: had a brochure and that brochure at price listings written

1288
01:06:50,640 --> 01:06:55,440
Speaker 1: on it, and his argument for getting elected was elect me,

1289
01:06:55,680 --> 01:07:00,120
Speaker 1: I will charge you less. Now you understand how the

1290
01:07:00,120 --> 01:07:03,600
Speaker 1: public policy debate is corrupted when to be in a

1291
01:07:03,640 --> 01:07:06,720
Speaker 1: position of power you have to do what the special

1292
01:07:06,760 --> 01:07:11,360
Speaker 1: infrastruates require, which undermines the public policy debate. The money

1293
01:07:11,360 --> 01:07:16,240
Speaker 1: now is triumph And I'll give you a second example.

1294
01:07:16,280 --> 01:07:19,040
Speaker 1: So it's not Rete Brooks talking, but there's real evidence

1295
01:07:19,120 --> 01:07:23,720
Speaker 1: to back this up. Congressman Thomas Massy, who, by the way,

1296
01:07:23,800 --> 01:07:28,440
Speaker 1: endorsed me yesterday yesterday afternoon. I should add that Rand

1297
01:07:28,440 --> 01:07:33,080
Speaker 1: Paul has also endorsed me from w He had a

1298
01:07:33,160 --> 01:07:37,120
Speaker 1: lodgist come up to him and the lobbyist said, look,

1299
01:07:37,200 --> 01:07:41,200
Speaker 1: I will pay your five hundred thousand dollars to be

1300
01:07:41,400 --> 01:07:45,200
Speaker 1: on ways and Means if you will sponsor this patent bill.

1301
01:07:45,800 --> 01:07:51,480
Speaker 1: Thomas is brilliant. He has patents mit grad and Thomas said, okay,

1302
01:07:51,640 --> 01:07:53,400
Speaker 1: look at it. And he looked at it and said, no,

1303
01:07:53,480 --> 01:07:56,240
Speaker 1: this hurst the small event. The people with the power

1304
01:07:56,240 --> 01:07:58,120
Speaker 1: and the money are going to use that power of

1305
01:07:58,160 --> 01:08:01,560
Speaker 1: money to steal the pattern rights from the person who

1306
01:08:01,560 --> 01:08:04,240
Speaker 1: actually had the idea, who should be reaping the rewards

1307
01:08:04,240 --> 01:08:06,840
Speaker 1: of that idea. And so Thomas went back to the

1308
01:08:06,840 --> 01:08:08,800
Speaker 1: lobby said nope, I'm not going to do it. The

1309
01:08:08,800 --> 01:08:10,560
Speaker 1: lobby said, okay, I'm not going to pay that five

1310
01:08:10,600 --> 01:08:14,120
Speaker 1: hundred thousand dollars. Thomas Massey got that published on the

1311
01:08:14,120 --> 01:08:17,080
Speaker 1: front page of the USA Today, that story, and I

1312
01:08:17,120 --> 01:08:19,880
Speaker 1: saw it, and I'm going finally, somebody else in the

1313
01:08:19,920 --> 01:08:23,920
Speaker 1: House of Representatives who is honorable, who is ethical, and

1314
01:08:24,000 --> 01:08:27,439
Speaker 1: sees the corruption associated with this process. And I went

1315
01:08:27,439 --> 01:08:31,880
Speaker 1: to Thomas, said thank you for doing that. And Thomas responded, well,

1316
01:08:31,960 --> 01:08:36,200
Speaker 1: I made one big mistake. It looked good to me, said, well,

1317
01:08:36,280 --> 01:08:39,440
Speaker 1: I talked about it in terms of buying committee assignments

1318
01:08:39,720 --> 01:08:42,120
Speaker 1: when really it's a ritual agreement. You have to pay

1319
01:08:42,120 --> 01:08:46,960
Speaker 1: it every two years. Now the national media knows about this.

1320
01:08:47,240 --> 01:08:51,760
Speaker 1: Both political parties do it so neither party rises to

1321
01:08:51,840 --> 01:08:54,760
Speaker 1: the occasion and makes this a major public policy issue

1322
01:08:55,200 --> 01:08:58,920
Speaker 1: that would increase exposure about what's getting done. But if

1323
01:08:58,920 --> 01:09:03,599
Speaker 1: you want to know why our government is not properly

1324
01:09:03,760 --> 01:09:06,840
Speaker 1: facing the challenges that are in front of the United

1325
01:09:06,880 --> 01:09:09,600
Speaker 1: States of America, is that, more than anything else, is

1326
01:09:09,640 --> 01:09:14,120
Speaker 1: the reason. Wow, a million dollars Uh, kind of amazing. Yeah,

1327
01:09:14,280 --> 01:09:16,280
Speaker 1: I mean, of course there's a lot to say about this.

1328
01:09:16,320 --> 01:09:17,760
Speaker 1: First of all, I've no doubt that this is how

1329
01:09:17,800 --> 01:09:20,040
Speaker 1: this actually works, and so it shows you it's not

1330
01:09:20,240 --> 01:09:22,040
Speaker 1: just like some of the things that we track in

1331
01:09:22,120 --> 01:09:24,320
Speaker 1: terms of the stock ban, in terms of like the

1332
01:09:24,400 --> 01:09:28,840
Speaker 1: campaign funds for actually running for election. But this is

1333
01:09:29,160 --> 01:09:32,320
Speaker 1: very very close to just a direct quid pro quo

1334
01:09:32,520 --> 01:09:36,160
Speaker 1: of we will fund your committee chairmanship and you're going

1335
01:09:36,240 --> 01:09:37,960
Speaker 1: to be in charge of this committee that we have

1336
01:09:38,000 --> 01:09:40,240
Speaker 1: a lot of interest in and we assume you're going

1337
01:09:40,320 --> 01:09:42,240
Speaker 1: to do right by us ultimately. And see, this is

1338
01:09:42,280 --> 01:09:44,120
Speaker 1: the other thing, which is that the way that so

1339
01:09:44,280 --> 01:09:46,960
Speaker 1: there's two there's a two pronged problem here, which is

1340
01:09:47,000 --> 01:09:51,400
Speaker 1: that the alternative to this previously was the seniority system,

1341
01:09:51,400 --> 01:09:53,719
Speaker 1: which is obviously awful. You don't just want a bunch

1342
01:09:53,720 --> 01:09:57,080
Speaker 1: of geriatric old people luck into committee chairmanships because they

1343
01:09:57,120 --> 01:09:59,160
Speaker 1: happened to have been there for forty years. That's how

1344
01:09:59,160 --> 01:10:01,719
Speaker 1: it was in the nineteen sh sixties. The Democrats actually

1345
01:10:01,760 --> 01:10:04,880
Speaker 1: still abide by the seniority system for ranking members whenever

1346
01:10:04,920 --> 01:10:07,759
Speaker 1: it comes to their committee chairmanships, which causes its problems.

1347
01:10:07,800 --> 01:10:11,320
Speaker 1: As we can see. The Republicans, however, have rotating committee chairmanships.

1348
01:10:11,360 --> 01:10:14,880
Speaker 1: That's a good thing if it's merit based. Instead, what

1349
01:10:14,920 --> 01:10:17,559
Speaker 1: it is is controlled by the Central Committee and by

1350
01:10:17,600 --> 01:10:20,040
Speaker 1: the GOP leader in terms of who gets a committee

1351
01:10:20,040 --> 01:10:23,120
Speaker 1: ship and who doesn't. Now, and that what he's referring

1352
01:10:23,160 --> 01:10:25,360
Speaker 1: to there is the one million dollars is that you

1353
01:10:25,479 --> 01:10:27,960
Speaker 1: have to have raised a significant amount of money not

1354
01:10:28,000 --> 01:10:30,559
Speaker 1: just for yourself but for the National Party and for

1355
01:10:30,600 --> 01:10:33,400
Speaker 1: the committee to re elect. And by doing that, the

1356
01:10:33,479 --> 01:10:36,519
Speaker 1: political is then tied to your direct ability to have

1357
01:10:36,560 --> 01:10:39,160
Speaker 1: a chairman. Now, when you're chairman, why does that matter?

1358
01:10:39,920 --> 01:10:43,360
Speaker 1: The chairman decides which legislation gets to move in and

1359
01:10:43,360 --> 01:10:46,200
Speaker 1: out of committee, which gets to get debated, which gets

1360
01:10:46,200 --> 01:10:49,120
Speaker 1: to allow to have petitions, He gets to schedule hearings.

1361
01:10:49,280 --> 01:10:52,520
Speaker 1: All of that has an immense amount of power over legislation.

1362
01:10:52,680 --> 01:10:55,439
Speaker 1: Also don't forget the House, the People's House has written

1363
01:10:55,479 --> 01:10:59,320
Speaker 1: in the Constitution is where all taxation legislation has to

1364
01:10:59,360 --> 01:11:02,880
Speaker 1: originate in terms of financing appropriations and all that. Not

1365
01:11:03,000 --> 01:11:05,360
Speaker 1: the Senate, the guest Senate has to advise on this,

1366
01:11:05,439 --> 01:11:07,519
Speaker 1: but they don't have the same level of impact. So

1367
01:11:07,640 --> 01:11:11,440
Speaker 1: then the chairmanship matters even more in terms of houseways

1368
01:11:11,479 --> 01:11:14,880
Speaker 1: and means house appropriations. Yeah, those are the people, coincidentally

1369
01:11:15,000 --> 01:11:17,840
Speaker 1: who get the most amount of donations and have the

1370
01:11:17,920 --> 01:11:21,080
Speaker 1: ability in order to have a significant amount of influence

1371
01:11:21,120 --> 01:11:24,120
Speaker 1: and get invited all around town into the most fanciest

1372
01:11:24,120 --> 01:11:27,759
Speaker 1: dinners because they have such an immense amount of power.

1373
01:11:27,840 --> 01:11:30,600
Speaker 1: So that's like a short history of how the system

1374
01:11:30,760 --> 01:11:33,479
Speaker 1: came to be. But it's a perfect example of institutional corruption.

1375
01:11:33,840 --> 01:11:36,400
Speaker 1: And I know this stuff sounds boring, but I mean,

1376
01:11:36,640 --> 01:11:39,519
Speaker 1: how the committee ships get dolled out, it impacts you

1377
01:11:39,560 --> 01:11:41,880
Speaker 1: in a way that you don't even probably know well.

1378
01:11:41,920 --> 01:11:43,880
Speaker 1: And then of course the other piece of this is

1379
01:11:43,960 --> 01:11:47,200
Speaker 1: like I mean, obviously, this dude is hardly a paragonom virtues.

1380
01:11:47,200 --> 01:11:48,840
Speaker 1: Like you look at him and I just pulled up

1381
01:11:48,880 --> 01:11:50,800
Speaker 1: his open secrets. He gets ton of the money from

1382
01:11:50,800 --> 01:11:54,280
Speaker 1: like real estate interest and developers and also a bunch

1383
01:11:54,280 --> 01:11:59,800
Speaker 1: of sort of like military industrial or like space tech

1384
01:12:00,160 --> 01:12:04,440
Speaker 1: type of companies. So he's he's playing the game himself.

1385
01:12:04,479 --> 01:12:07,160
Speaker 1: He's exposing the game here in this regard, but he

1386
01:12:07,280 --> 01:12:10,000
Speaker 1: is in no way or his hands cleaned. And it's

1387
01:12:10,040 --> 01:12:12,000
Speaker 1: interesting because as he goes on, the clip goes about

1388
01:12:12,040 --> 01:12:13,840
Speaker 1: five minutes. The whole thing is worth watching. He can

1389
01:12:14,200 --> 01:12:15,720
Speaker 1: take a look. I think I tweeted, I think Ryan

1390
01:12:15,760 --> 01:12:19,639
Speaker 1: grim tweeted in others. But he goes on to tell

1391
01:12:19,680 --> 01:12:24,080
Speaker 1: this anecdote about Jamie Comer or not sorry, Thomas Massey

1392
01:12:24,240 --> 01:12:28,360
Speaker 1: different Kentucky Congressman Thomas Massey, who's kind of a libertarian,

1393
01:12:28,560 --> 01:12:31,559
Speaker 1: so he's credible in terms of when it comes to corruption,

1394
01:12:31,960 --> 01:12:34,559
Speaker 1: and how he'd written this op ed for USA Today

1395
01:12:34,640 --> 01:12:38,080
Speaker 1: exposing how all of this worked and how one lobbyist

1396
01:12:38,160 --> 01:12:41,720
Speaker 1: had offered to basically buy him this committee chairmanship, and

1397
01:12:41,760 --> 01:12:45,360
Speaker 1: then not like just a couple of weeks later, there

1398
01:12:45,360 --> 01:12:48,360
Speaker 1: he was, after he had been decrying how terrible this was,

1399
01:12:48,600 --> 01:12:51,639
Speaker 1: there he was sending out invites to all the lobbyists

1400
01:12:51,640 --> 01:12:55,000
Speaker 1: in Washington to come to some fundraiser for him. So

1401
01:12:55,400 --> 01:12:58,920
Speaker 1: even a lot of these people they loved, right, They

1402
01:12:58,960 --> 01:13:02,280
Speaker 1: loved a posture, but then they're just as guilty as

1403
01:13:02,320 --> 01:13:05,680
Speaker 1: playing the same game as everybody else, So that's why

1404
01:13:05,960 --> 01:13:08,760
Speaker 1: we'll preview into the system there indeed, all right, guys,

1405
01:13:08,800 --> 01:13:10,000
Speaker 1: thanks for watching. More for you later