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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 Tuesday. We have an amazing show for everybody today.

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Speaker 1: What do we have, Crystal? Indeed, we do lots of

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Speaker 1: big stories baking. Just this morning, we actually had to

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Speaker 1: scramble to show around a little bit to cover some

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Speaker 1: of the things that are coming to like justice am

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Speaker 1: So we've cut a new breakdown from the Washington Post

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Speaker 1: of their ordering of the potential twenty twenty four downs

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Speaker 1: that is quite revealing. They actually put Pete Budagid ahead

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Speaker 1: of Kamala Harris. I'm sure she's going to be very

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Speaker 1: upset about that. So we'll get into that Washington parlor game.

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Speaker 1: New polling that shows just how overwhelming support for Amazon

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Speaker 1: union workers actually is. It's by partisan. The most significant

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Speaker 1: difference actually isn't partisanship, it's generational. It's quite fascinating. So

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Speaker 1: we'll show you those numbers. We also have news coming

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Speaker 1: out of the federal courts. If you are traveling by

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Speaker 1: a plane or by train, any sort of public transit,

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Speaker 1: you no longer have to wear a mask. We're free people,

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Speaker 1: We're free. I'm already annoyed because I take the train. Wait.

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Speaker 1: Literally last week I me too. We were together and

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Speaker 1: I remember thinking, like, when is this going to end?

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Speaker 1: I got a flight at five pm Eastern. I I'm

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Speaker 1: gonna post a freeze. And you thought were you wearing

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Speaker 1: masks on airplanes? Forever? I said it? I was wrong,

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Speaker 1: Thank God, thank you whoever this judge is. I have

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Speaker 1: no idea whether the legal reasoning is sound or but

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Speaker 1: we'll just talk about, yeah, what it means and where

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Speaker 1: we go from here. The other thing that just broke

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Speaker 1: this morning, Taylor Lorenz has revealed or in her words,

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Speaker 1: exposed the individual who is behind a very popular Twitter

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Speaker 1: account libs of TikTok that you may have seen if

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Speaker 1: you have been online. So we will talk about all

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Speaker 1: of that, but we wanted to start with the very

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Speaker 1: latest on the ground in Ukraine. That's right, Okay, let's

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Speaker 1: go ahead and put this up there on the screen,

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Speaker 1: which is very important. So a major Russian offensive has

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Speaker 1: begun in the dun Boss So the according to the

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Speaker 1: Secretary of the War in Ukraine this morning, an active

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Speaker 1: phase of Russian offensive began along the entire front line

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Speaker 1: in Dnetsk, in Lahansky, in the Kharkiv regions. As he says,

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Speaker 1: the occupiers tried to break through our defensives. Now, the

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Speaker 1: reason that this matters is because in the broader context

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Speaker 1: of where we are exactly in the conflict, we have

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Speaker 1: been wondering are we in a stalemate? We saw the

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Speaker 1: strategic pullback from Kiev. There were also possible updates in

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Speaker 1: terms of the peace keeping op or the peace deal,

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Speaker 1: and all of that seemed to break down in the

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Speaker 1: last couple of days. Obviously, the Ukrainians went ahead and

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Speaker 1: sunk the Russian flagship. So when you put that together.

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Speaker 1: The Russians clearly want to cry and save face before

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Speaker 1: even trying to come to the negotiating table, and by

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Speaker 1: doing that, they're concentrating all of their major resources in

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Speaker 1: those Eastern regions, which have been in a hot civil

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Speaker 1: war now for almost eight years. It seems clear that

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Speaker 1: the Russians are trying to redefine their mission here to

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Speaker 1: take total control of those eastern regions, and only after

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Speaker 1: that period are any negotiations likely and possible. And unfortunately

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Speaker 1: for the people who are living in those regions, this

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Speaker 1: is a real hell. I mean, we're talking about shelling,

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Speaker 1: which of course has been ever present, but there are

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Speaker 1: hundreds of thousands of people who were living in some

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Speaker 1: of these cities, and millions obviously within the region completely

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Speaker 1: have been displaced. And it's very likely that extraordinarily heavy

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Speaker 1: fighting is going to be remaining in the region because

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Speaker 1: the Ukrainians themselves have said, we're not going to give

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Speaker 1: up this territory. It's truly as we said yesterday, already

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Speaker 1: some in the city of Mariopol are saying we are

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Speaker 1: going to fight to the bitter end, to the right

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Speaker 1: death right, and Mariopol, a really key strategic city that

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Speaker 1: would enable Russia, that would be their largest victory of

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Speaker 1: the war thus far. And there are a limited number

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Speaker 1: of fighters on the Ukrainian side still sort of hanging on.

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Speaker 1: The Russians are saying they're hold up in this steel plant,

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Speaker 1: and there are a number of civilians who are also

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Speaker 1: trapped in the steel plant. I mean, Maria Paul has

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Speaker 1: just been absolutely obliterated. The scenes from there, the images

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Speaker 1: from there are absolutely horrifying. There's been a humanitarian disaster

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Speaker 1: unfolding there for absolutely weeks now, and so the Russians

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Speaker 1: are saying, hey, come out and surrender, and you know

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Speaker 1: you'll be able to escape with your lives. Whether you

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Speaker 1: could trust them is one question, but right now those

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Speaker 1: Ukrainian defenders are saying absolutely not. We will fight to

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Speaker 1: the death. But they are barely still hanging on this morning,

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Speaker 1: to the best of our knowledge. We also have an

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Speaker 1: update this morning from the Foreign Minister of Russia, Sergei Lavrov.

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Speaker 1: He also is saying that that new offensive in the

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Speaker 1: eastern part of Ukraine has commenced. He says another phase

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Speaker 1: of this operation is starting now. Some analysts are saying

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Speaker 1: that the renewed and escalated shelling in that region may

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Speaker 1: just be a prelude for an even larger operation. There

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Speaker 1: are reports from US officials that Russia has increased their

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Speaker 1: troop presence inside of Ukraine by about ten thousand service members.

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Speaker 1: So you have, you know, a picture coming into focus

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Speaker 1: of this is not a stalemate. This is a very

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Speaker 1: you know, dynamic conflict, a refocusing on the eastern region,

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Speaker 1: and you know, probably much more devastation for both civilian

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Speaker 1: populations and combatants to come. Yeah, it's extraordinarily. It just

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Speaker 1: makes me so sad just thinking about all the people

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Speaker 1: who are going to die here. And you know, Ukrainian

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Speaker 1: media is talking about major explosions on the frontline in

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Speaker 1: the city of Kharkiv and some some other cities in

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Speaker 1: the southeast as well, where air raids were going off

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Speaker 1: and the Russians going ahead and confirming. This just shows

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Speaker 1: you that this is very likely to be the major

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Speaker 1: frontline and offensive now. I think it's fair to say

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Speaker 1: maybe even for years to come, given the now semi

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Speaker 1: limited you know, operations that the Russians can with can

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Speaker 1: carry out under the context of the current political declarations

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Speaker 1: not a war. It's like you know, whatever special action

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Speaker 1: or whatever fa military operations whatever, fake language, stupid and

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Speaker 1: I mean, I think it's worth saying too. You know,

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Speaker 1: I don't think anyone in Ukraine, certainly present Zelensky has

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Speaker 1: been saying that they shouldn't feel confident that this is

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Speaker 1: now just going to be limited to that part of

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Speaker 1: the state. And we did see shelling of Leviv yesterday missiles.

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Speaker 1: If there's killed seven people, that's right, and also continued

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Speaker 1: threats on Kiev, even though there are also are reports

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Speaker 1: that sort of life is coming back to Kiev, that

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Speaker 1: people are emerging from sheltering, that kids are in the

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Speaker 1: streets playing and sort of life is starting to return

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Speaker 1: to that city. But certainly they don't feel that the

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Speaker 1: threat to their own lives in those cities has passed. Yeah,

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Speaker 1: and at the same time, you know, the Ukrainians are

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Speaker 1: reaching for everything within their arsenal, including, unfortunately it's put

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Speaker 1: this up there on the screen, the use of cluster munitions,

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Speaker 1: something that we have criticized the Russians here for which

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Speaker 1: is against the Convention on Cluster Munitions, which took effect

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Speaker 1: in twenty ten, specifically because cluster munitions are an indiscriminated

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Speaker 1: bomb that has a lot of cause to civilians in

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Speaker 1: their use. Just ask people in Syria how it worked

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Speaker 1: whenever the Russians used cluster munitions in highly crowded urban areas.

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Speaker 1: And you know, this has been a confirmed use by

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Speaker 1: the Ukrainian military of shelling with cluster munitions rockets in

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Speaker 1: eastern Ukraine. And the reason that this matters is it

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Speaker 1: just shows you that in a war, you know, all

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Speaker 1: this convention and all this is pushed aside, and people

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Speaker 1: reach for whatever they possibly can in order to try

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Speaker 1: and win, and the people who are going to suffer

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Speaker 1: the most. Now you may celebrate it, you know, like,

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Speaker 1: oh it kills Russians, but look, the reason that we

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Speaker 1: don't want these what types of weapons use is because

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Speaker 1: of their indiscriminate effect on civilian populations. I'm not accusing

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Speaker 1: them of having killed civilians. I don't know, there's no

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Speaker 1: report necessarily on this specific use. But it's another line

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Speaker 1: that has to get you know, that gets cross and

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Speaker 1: you know we can withhold our moral judgment. I'm not sure,

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Speaker 1: you know, if we were in a similar situation, I

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Speaker 1: don't know what I would do, you know, if I

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Speaker 1: was the person in charge. But it just shows you that,

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Speaker 1: you know, in war, you reach for things that are

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Speaker 1: completely unthinkable, and that the people who pay the price

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Speaker 1: are the actual civilians themselves. And I was thinking actually

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Speaker 1: about the eastern part of Ukraine and just how much

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Speaker 1: they've been through. If you read about Nazi campaigns, this

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Speaker 1: is one of the most devastated and hard fought over

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Speaker 1: areas by the Soviets and the Nazis. They all had

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Speaker 1: to deal with occupation and complete control by the Soviet Union.

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Speaker 1: Many had to deal with Chernobyl. I don't know if

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Speaker 1: people will remember this, but this region is exactly the

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Speaker 1: one which was majorly affected by the nuclear disaster, and

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Speaker 1: you know, then you know the chaos of the nineteen nineties.

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Speaker 1: Once again in twenty twenty two, you get invaded, possibly

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Speaker 1: getting torn from your home by one military or the other.

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Speaker 1: Just a horrible situation. Yeah, that's that's absolutely right. And

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Speaker 1: the report here for the New York Times says that

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Speaker 1: these particular cluster munitions that they were able to sort

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Speaker 1: of visually confirm that they landed on a farm in

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Speaker 1: you know, a small village in the eastern part of Ukraine,

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Speaker 1: and the reason why they were banned in that twenty

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Speaker 1: ten convention on cluster munitions is because twenty percent or

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Speaker 1: more of the sub munitions that come out of these

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Speaker 1: cluster munitions failed to detonate on impacts, so they're just

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Speaker 1: they're just sort of hanging around there undetonated, and then

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Speaker 1: you know, a kid, a civilian and anyone. That's what

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Speaker 1: makes them so dangerous. They can then detonate later on

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Speaker 1: and mamemon kill civilians. You know, these are their own

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Speaker 1: villages and towns that we're talking about here, So it

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Speaker 1: is very sad. It's worth noting one hundred nations signed

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Speaker 1: onto the Convention on Cluster Munitions packed those nations did

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Speaker 1: not include the US, Ukraine or Russia. So those three

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Speaker 1: nations ourselves included not party to this pact ultimately. But

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Speaker 1: you know, these are the sorts of things that we

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Speaker 1: have to decry, whether it's Russia deploying these sorts of

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Speaker 1: indiscriminate which they have, which they far worse, yes, let's

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Speaker 1: be clear, or whether it comes from the Ukrainian side. Yeah,

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Speaker 1: that's right. Okay, let's go ahead and move on here

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Speaker 1: to the update on Washington. You might have thought that

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Speaker 1: some of the discourse had cooled, and I had hoped

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Speaker 1: that that's where it would stay, but unfortunately we are

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Speaker 1: seeing complete insanity at the institutional level. Senator Chris Koons

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Speaker 1: and his comments which we're about to play for you,

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Speaker 1: where he calls for troops in Ukraine, matter because not

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Speaker 1: only is he from Delaware, he is known as the

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Speaker 1: Biden whisperer in the Senate. He is seen as a

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Speaker 1: projection of the President of the United States himself and

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Speaker 1: much of his thinking within the body. So when he

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Speaker 1: says something like this, you should really pay attention. This

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Speaker 1: was over the weekend. Let's take a lesson. I think

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Speaker 1: President Biden's leadership has been steady and constructive, but this

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Speaker 1: is a critical moment. If Vladimir Putin, who has shown

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Speaker 1: us how brutal he can be, is allowed to just

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Speaker 1: continue to massacre civilians, to commit war crimes throughout Ukraine

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Speaker 1: without NATO, without the West coming more forcefully to his aid.

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Speaker 1: I deeply worry that what's going to happen next is

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Speaker 1: that we will see Ukraine turn into Syria. The American

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Speaker 1: people cannot turn away from this tragedy in Ukraine. I

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Speaker 1: think the history of the twenty first century turns on

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Speaker 1: how fiercely we defend freedom in Ukraine and that Putin

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Speaker 1: will only stop when we stop him. I mean, Putin

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Speaker 1: will only stop when we stop. Will only stop when

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Speaker 1: we stop. Says that we should consider troops there and look,

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Speaker 1: if you think that he's not doubling down after the

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Speaker 1: outrage of those comments, he absolutely is. Put that up

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Speaker 1: there on the screen. Please. Senator Koons says that the

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Speaker 1: Congress and the Whinehouse should come to a common position

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Speaker 1: about when we are willing to go to the next

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Speaker 1: step and to send not just arms but troops to

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Speaker 1: the aid in defense of Ukraine. If the answer is never,

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Speaker 1: then we are inviting another level of escalation in brutality

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Speaker 1: by Putin. Once again, there is no consideration of Okay,

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Speaker 1: what then, what's going to happen? What happens? Ask yourself

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Speaker 1: this question. If a United States soldier or service member

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Speaker 1: steps or gets killed by a Russian cluster munition, it's

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Speaker 1: not like they are, you know, not going weapons free

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Speaker 1: in this war zone. Ask yourself, what's going to happen

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Speaker 1: in that situation, because it's going to invite a response

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Speaker 1: by US. I mean, look, if one of our soldiers,

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Speaker 1: or if a myriad of our soldiers gets killed by Russia,

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Speaker 1: it's game over. I mean, in terms of how exactly

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Speaker 1: that situation is going to escalate. This is incredibly dangerous.

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Speaker 1: It is also why I was against all of these

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Speaker 1: troops that were on the ground in Syria. I was

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Speaker 1: deeply afraid of exactly this scenario, which is, we have

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Speaker 1: one hundred two hundred guys. They're sitting there, you know,

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Speaker 1: with our you know, whatever, the troops or whatever we're

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Speaker 1: working with against ISIS, and then a Russian plane goes

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Speaker 1: over some guy. He doesn't even know what's happening. He

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Speaker 1: goes hot on the wrong target. Now you're in a

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Speaker 1: whole other geopolitical ballgame. And the Trump administration pursued that policy,

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Speaker 1: the Obama administration pursued that policy, and now they are

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Speaker 1: pushing for that not just in a Syria, where I

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Speaker 1: guess it's arguable over you know, in terms of how

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Speaker 1: much we're influencing the conflict, et cetera. And it's not

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Speaker 1: like Syria's a nuclear power. Now we're talking about in Ukraine,

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Speaker 1: in a war which Russia itself is actively involved in.

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Speaker 1: I just think that the lack of consideration on this

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Speaker 1: is just completely crazy, and people are really not realizing

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Speaker 1: just how quickly these things can't escalate. I feel like

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Speaker 1: I'm almost a broken record, I know, but how many

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Speaker 1: times you can't say saying well? And it also tracks

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Speaker 1: with what we talked about yesterday, which was President Biden

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Speaker 1: once again escalating his rhetoric and calling what's happening in

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Speaker 1: Ukraine genocide. So of course, I mean, you're gonna have

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Speaker 1: a lot of Americans who listen to Senator Kuhn's comments

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Speaker 1: and basically agree with him because of the sort of

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Speaker 1: rhetorical landscape that has been laid out before them. I mean,

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Speaker 1: it follows logically, if you say Putin is a war criminal,

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Speaker 1: he should be tried at the Hague, and this is genocide,

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Speaker 1: then what Chris Kuns is saying no longer becomes so crazy.

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Speaker 1: This becomes the next logical step, especially when they use

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Speaker 1: such sanitized language constantly in the press in our political

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Speaker 1: class about what this would actually look like. They always

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Speaker 1: frame it in the context of we have to defend Ukraine. Yes,

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Speaker 1: you know, everyone sees virtually everyone sees the Ukrainian cause

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Speaker 1: as incredibly just They never really lay out for you

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Speaker 1: what happens though, if we end up troops on the ground,

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Speaker 1: if we end up with a direct conflict with Russia

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Speaker 1: and how much pain that is going to bring to everyone,

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Speaker 1: including the Ukrainians. By the way, but the type of

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Speaker 1: conflagration that could lead to around the globe is absolutely

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Speaker 1: horror to contemplate. I'm glad you put it that way,

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Speaker 1: because people don't realize that. Okay, let's say that there

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Speaker 1: is an actual war between the US and Russia, or

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Speaker 1: even a limited war in which Ukraine is the battlefield.

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Speaker 1: Ukraine is gone, it gets wiped out. You know, there

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Speaker 1: was an active acknowledgment during the Cold War that all

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Speaker 1: the troops who were stationed in West Berlin their job

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Speaker 1: was to die. That was it. They knew it too. Actually,

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Speaker 1: a lot of the tank commanders and others their job

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Speaker 1: was simply to be there in order to invite nuclear

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Speaker 1: escalation or a much bigger, a bigger and broader land conflict.

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Speaker 1: Do you want that to happen to the Ukrainian civilians?

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Speaker 1: I mean, yeah, several million of them have fled. There

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Speaker 1: is still what twenty thirty some odd million people who

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Speaker 1: live in that country. Think about the elderly population, pensioners

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Speaker 1: and others who can't move and who have lived in

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Speaker 1: these places their entire lives. It's over for them. I mean,

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Speaker 1: they will die very quickly and especially from the after

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Speaker 1: effects of war. So the broader goal here has to

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Speaker 1: be tamping down this type of rhetoric, trying to bring

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Speaker 1: this conflict to an end in any way possible that

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Speaker 1: we can to guarantee peace for them. And look, I

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Speaker 1: don't want to have sympathy. I don't have sympathy for

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Speaker 1: Vladimir Putin. But I was telling you yesterday I saw

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Speaker 1: some photos of Buddhist troops from Eastern Siberia conscripts deployed

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Speaker 1: to fight in Ukraine. These guys don't have anything to

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Speaker 1: do with what's going on in Ukraine, and they're getting

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Speaker 1: killed indiscriminately. I'm not saying that if I was Ukrainian

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Speaker 1: and I wouldn't shoot at them too. I'm saying, do

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Speaker 1: you think they really had a choice in being there?

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Speaker 1: And they suffer under the Russian regime, just like many

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Speaker 1: of the other ethnic minorities who live there, used as

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Speaker 1: ponds thrown into this conflict, probably specifically in order to

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Speaker 1: make sure that the ethnic Russians, you know, don't realize

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Speaker 1: the real costs, and let these guys get killed. It's

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Speaker 1: horrible there are Russian mothers who are starting to ask

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Speaker 1: questions and they should, especially about the sailors who were

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Speaker 1: likely killed when the Maskva, that flagship battleship of the Russians,

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Speaker 1: was sank by Ukrainian missiles. And they're saying, no, no,

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Speaker 1: it was a fire and munitions exploded. But ever it

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Speaker 1: is fine and we got them all evacuated. Well that

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Speaker 1: was not the case. There were we don't know how many,

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Speaker 1: but it certainly appears that there were scores of Russians

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Speaker 1: who were killed on that ship, and so their family

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Speaker 1: members and their mothers in particular saying where is my son?

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Speaker 1: What happened? We want answers. So there's a lot of

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Speaker 1: pain here all the way around. And there's another escalation

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Speaker 1: that we wanted to bring to you as well, which is,

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Speaker 1: for the first time, was put this next piece up

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Speaker 1: on the screen. You have British special forces training local

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Speaker 1: troops in Ukraine, serving UK soldiers on the for the

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Speaker 1: first time. So again, this is a tremendous escalation. It

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Speaker 1: is a dangerous game that they are playing here because

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Speaker 1: if you end up with a direct conflict between Russia

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Speaker 1: and between the UK, that again could lead to a

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Speaker 1: direct conflict a NATO country, that's not a joke. This

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Speaker 1: is the second most powerful country in all of NATO.

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Speaker 1: And also they have nukes. I think people should realize that.

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Speaker 1: You know, the French and the Brands also have nuclear

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Speaker 1: weapons in their own right. And the UK, I mean

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Speaker 1: we you know, they're a joke compared to us, but

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Speaker 1: there's still great power and at a great military. So

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Speaker 1: you know, you look at this and we see a

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Speaker 1: very clear situation where things can go awry. Now, look,

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Speaker 1: maybe it'll work out. But one of the lessons of

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Speaker 1: the last twenty five years of American foreign policy is

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Speaker 1: were not Western foreign policy really is we act with

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Speaker 1: hubris and we don't consider what the fortieth order consequences.

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Speaker 1: Maybe ask people Libya how it worked out for them,

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Speaker 1: Ask people Siria how it worked out for them. Ask

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Speaker 1: people of Mosul and people in Iraq who were killed

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Speaker 1: in the ethnic sectarian conflict. As to people of Afghanistan

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Speaker 1: and the ethnic minorities and others who suffered had frankly

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Speaker 1: false hope and then got killed by the Taliban. All

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Speaker 1: of this look's not the direct fault of the United States,

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Speaker 1: but we had a role and we should try to

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Speaker 1: minimize that role to the best of our ability, or

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Speaker 1: to make sure that people don't die. And the big

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Speaker 1: picture is this administration at this point has made it

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Speaker 1: really clear that they actually are not pushing for peace.

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Speaker 1: What they are pushing for is a foolish plan of

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Speaker 1: regime change. I mean, that's their end goal. They've set

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Speaker 1: it out right, ron Klain saying we don't want an

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Speaker 1: off ramp for Putin. That tells you they are not

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Speaker 1: actually interested in peace. They are not actually interested in

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Speaker 1: using the great might and pressure and influence and sway

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Speaker 1: of the United States you try to bring this conflict

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Speaker 1: to a close, and that is extraordinarily dangerous, absolutely right,

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Speaker 1: all right, in less serious news here, So we've got

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Speaker 1: some of the early speculation for twenty twenty four on

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Speaker 1: the Democratic primary side. And first of all, it's extraordinary

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Speaker 1: that it's even a question so the Democratic nominee will be.

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Speaker 1: It's really more of a question on the Democratic side

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Speaker 1: who the nominee would be than it is on the

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Speaker 1: Republican side. If Trump runs, he is all but certain

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Speaker 1: to be the Republican nominee, and in fact, polling bears

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Speaker 1: out that he is in a stronger position as not

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Speaker 1: the president currently with the Republican base than Biden is

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Speaker 1: with the Democratic base, which is extraordinary in and of itself.

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Speaker 1: But let's go and put this Washington Post hairsheet up

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Speaker 1: on the screen, so they have these things are so silly,

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Speaker 1: but they have ranked the top ten Democratic presidential candidates

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Speaker 1: for twenty twenty four and in a gigantic snub to

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Speaker 1: Vice President Kamala Harris, they have actually placed Pete Bodhajetge

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Speaker 1: in front of her in line. So top contender, they

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Speaker 1: have President Biden. Of course that makes sense. He is

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Speaker 1: the incent president. You would think you would be a lock,

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Speaker 1: but he's not a lock. But anyway, he's in he's

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Speaker 1: in the pole position there. Previously in this list they

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Speaker 1: had Kamala ahead of Pete, which also should be a

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Speaker 1: no brainer sitting vice president, I mean very commonly throughout

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Speaker 1: American history. Of course, the vice president ends up going

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Speaker 1: on to be the party's next nominee. But they make

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Speaker 1: the case here, and I think not incorrectly, that she

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Speaker 1: hasn't exactly delivered in the vice presidential role. Really, it's

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Speaker 1: been an opportunity for her to highlight how not up

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Speaker 1: to the task and not up to the job that

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Speaker 1: she ultimately is. And listen, I'm no fan of Pete.

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Speaker 1: I'm no fan of Kamala. Their politics are basically the same,

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Speaker 1: which is sort of like just pure ambition combined with

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Speaker 1: standard issue neoliberalism. But Pete at least ran an effective campaign,

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Speaker 1: whereas Kamala didn't even make it to the Democratic primary

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Speaker 1: to have a single voter cast their ballot. The entire list,

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Speaker 1: let me just read through the list and that we

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Speaker 1: can talk more about Kamala and Pete. So one is Biden,

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Speaker 1: Two is Pete? Three is Kamala. Four they have Elizabeth

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Speaker 1: Warren Lol. Five they have Amy Klobash are also lol.

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Speaker 1: Six they have Roy Cooper, who no one is even

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Speaker 1: ever heard of, the Carolina He's the governor, He's Carolina. Yeah.

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Speaker 1: Even I had to be like, who's that dude? Again? Yeah,

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Speaker 1: I think the governor? Right, So, governor of North Carolina,

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Speaker 1: who literally no one's ever heard of, Roy Cooper shared

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Speaker 1: Brown who you know, he's not like a crazy one

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Speaker 1: to put on the list. They love this guy's profile

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Speaker 1: and he has good labor politics, which I really appreciate.

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Speaker 1: Is sort of like a Midwestern populist figure center from

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Speaker 1: Ohio still wins in a state that is trended hard

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Speaker 1: right in recent years. And you know, the thing with him,

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Speaker 1: he took a pass last time around. And the thing

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Speaker 1: with him is like on paper, he's kind of appealing

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Speaker 1: because he can win in this tough state and like

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Speaker 1: I said, he's got this kind of like labor populist

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Speaker 1: orientation that I find appealing. But then when you hear

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Speaker 1: him speak, it's not very He doesn't have a lot

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Speaker 1: of natural charisma. Maybe that's the selling point. Maybe people

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Speaker 1: like that he just feels like, you know, a little

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Speaker 1: bit less of the sort of Polish politician. But anyway,

429
00:22:59,840 --> 00:23:04,199
Speaker 1: that's shared Brown. Number eight Corey Booker, Why again, remind

430
00:23:04,200 --> 00:23:05,920
Speaker 1: me how he did in the trim rory last time?

431
00:23:06,040 --> 00:23:07,960
Speaker 1: Remember Andrew Yang beat him in order to get on

432
00:23:08,000 --> 00:23:11,679
Speaker 1: the stage. Yes, great, that's a good memory there. Number

433
00:23:11,760 --> 00:23:16,000
Speaker 1: nine is even more perplexing. Gavin Newsom. Yeah, yeah, let's

434
00:23:16,000 --> 00:23:18,480
Speaker 1: do the French laundry guy. Literally, who wants that? Dude?

435
00:23:18,480 --> 00:23:21,960
Speaker 1: I mean, other than him, he clearly wants to be president.

436
00:23:22,280 --> 00:23:25,080
Speaker 1: Is anyone else interested? No, But that's the kind of

437
00:23:25,119 --> 00:23:28,199
Speaker 1: person who makes this list. And number ten AOC who

438
00:23:28,359 --> 00:23:31,080
Speaker 1: you know I think has made it so that she

439
00:23:31,320 --> 00:23:33,160
Speaker 1: is never going to be in a position to national

440
00:23:34,520 --> 00:23:37,920
Speaker 1: I just going to be nice, okay. So one of

441
00:23:37,960 --> 00:23:40,919
Speaker 1: the things that I'll put in here that was interesting

442
00:23:41,280 --> 00:23:44,080
Speaker 1: is they said, you know, they were trying to figure

443
00:23:44,119 --> 00:23:47,040
Speaker 1: out who might be the progressive, who might be the

444
00:23:47,080 --> 00:23:49,760
Speaker 1: person that, like the the Bernie types could get behind.

445
00:23:50,359 --> 00:23:52,360
Speaker 1: And let me read to you what they say here

446
00:23:52,400 --> 00:23:55,160
Speaker 1: about Elizabeth Warren, who they kind of, you know, put

447
00:23:55,200 --> 00:24:00,080
Speaker 1: into that slot, even though obviously Bernie World not so

448
00:24:00,119 --> 00:24:03,120
Speaker 1: much in love with Elizabeth Warren anymore these days, they say.

449
00:24:03,160 --> 00:24:06,600
Speaker 1: Sanders Camp has suggested Biden will face a progressive challenger

450
00:24:06,600 --> 00:24:09,600
Speaker 1: in twenty twenty four, but exactly who would that wing

451
00:24:09,640 --> 00:24:12,760
Speaker 1: of the party line up behind. Politico reported recently that

452
00:24:12,800 --> 00:24:15,199
Speaker 1: top Sanders aids have gotten involved in setting up the

453
00:24:15,240 --> 00:24:17,640
Speaker 1: field for twenty twenty four, but by pushing for Roe

454
00:24:17,720 --> 00:24:21,240
Speaker 1: Kanna to run rather than by building up Warren. Sanderson

455
00:24:21,280 --> 00:24:23,760
Speaker 1: Warren have often been Alli's but their twenty twenty presidential

456
00:24:23,800 --> 00:24:27,119
Speaker 1: campaigns got pretty ugly with one another. Center for Massachusetts

457
00:24:27,119 --> 00:24:29,120
Speaker 1: also has a reelection bid in twenty twenty four, which

458
00:24:29,119 --> 00:24:34,560
Speaker 1: he has said she'll pursue. It irks me that there

459
00:24:34,640 --> 00:24:38,600
Speaker 1: apparently is some effort from people around Sanders to kind

460
00:24:38,640 --> 00:24:42,800
Speaker 1: of like put a candidate forward, as if the grassroots

461
00:24:42,840 --> 00:24:46,080
Speaker 1: base that supported Bernie wouldn't have something to say about that.

462
00:24:46,760 --> 00:24:49,560
Speaker 1: And you know, there are plenty of things that we've

463
00:24:49,600 --> 00:24:52,080
Speaker 1: praised Congressman Conna for. I think he's been pretty good

464
00:24:52,200 --> 00:24:57,679
Speaker 1: on foreign policy, but in recent weeks he's been really

465
00:24:57,920 --> 00:25:00,240
Speaker 1: it's hard to distinguish his rhetoric from so of the

466
00:25:00,240 --> 00:25:03,720
Speaker 1: standard issue democratic lane, you know, corporate democrat lane of

467
00:25:03,760 --> 00:25:09,480
Speaker 1: the party. Yes, his wife has invested in these military

468
00:25:09,480 --> 00:25:13,000
Speaker 1: industrial complex stocks, and he said like basically, oh, that's fine,

469
00:25:13,000 --> 00:25:14,800
Speaker 1: there's no problem with that. Spouses should be able to

470
00:25:14,800 --> 00:25:17,280
Speaker 1: do what they want to do. It's what are you, like,

471
00:25:17,320 --> 00:25:19,199
Speaker 1: what are you doing right now? And he also he

472
00:25:19,320 --> 00:25:23,240
Speaker 1: just gave an interview with Politico where he said that

473
00:25:23,680 --> 00:25:27,480
Speaker 1: the problem with Build Back Better was that progressives didn't

474
00:25:27,520 --> 00:25:31,719
Speaker 1: compromise fast enough or far enough with Joe Manchin and

475
00:25:31,760 --> 00:25:34,520
Speaker 1: that he didn't think that, you know, that Joe Manchin

476
00:25:34,680 --> 00:25:36,600
Speaker 1: was He seemed to indicate he didn't think Joe Manchin

477
00:25:36,680 --> 00:25:38,880
Speaker 1: was corrupt. It was just an ideological difference, which again

478
00:25:38,960 --> 00:25:41,639
Speaker 1: is like at this point when you've seen like the

479
00:25:41,680 --> 00:25:44,239
Speaker 1: money he gets from the oil and gas industry and

480
00:25:44,280 --> 00:25:47,240
Speaker 1: the direct profits into his pockets from the coal industry.

481
00:25:47,280 --> 00:25:49,560
Speaker 1: You still think that this dude is just like, oh,

482
00:25:49,680 --> 00:25:52,760
Speaker 1: acting in good faith as kind of absurd. So anyway,

483
00:25:52,840 --> 00:25:55,200
Speaker 1: it irritated me that they would think that they could

484
00:25:55,240 --> 00:25:59,640
Speaker 1: like just foist a candidate onto a grassroots base and

485
00:25:59,720 --> 00:26:01,399
Speaker 1: you know, think that they were going to just accept

486
00:26:01,400 --> 00:26:04,639
Speaker 1: them without any question. It's ludicrous. It's ridiculous. Also, when

487
00:26:04,680 --> 00:26:06,280
Speaker 1: you put it that way, it actually kind of reminds

488
00:26:06,359 --> 00:26:08,760
Speaker 1: me sometimes of the Maga Wars, when people are like, no,

489
00:26:08,840 --> 00:26:10,960
Speaker 1: this is the real miracle Firs. You have like Maga

490
00:26:10,960 --> 00:26:13,840
Speaker 1: people around Trump who are trying to define what it means,

491
00:26:13,880 --> 00:26:15,960
Speaker 1: and it's like, no, it just only Trump gets to decide.

492
00:26:16,000 --> 00:26:18,480
Speaker 1: And I think in this case even Birdie doesn't really

493
00:26:18,480 --> 00:26:20,120
Speaker 1: get to decide because at the end of the day,

494
00:26:20,240 --> 00:26:23,880
Speaker 1: as we saw with Trump's endorsements, it doesn't always work out. Yeah,

495
00:26:24,040 --> 00:26:26,439
Speaker 1: are people they think how they want. Many people who

496
00:26:26,480 --> 00:26:28,879
Speaker 1: are saying they are Trump's supporters say, look, I like

497
00:26:28,920 --> 00:26:30,720
Speaker 1: Trump himself, but I'm not going to do everything that

498
00:26:30,760 --> 00:26:33,000
Speaker 1: the guy tells me, And that's what bothers me. Also

499
00:26:33,040 --> 00:26:35,359
Speaker 1: about the Sanders camp, I'm like, you don't speak for

500
00:26:35,400 --> 00:26:38,239
Speaker 1: the Sanders movement. The Sanders movement, I think, at its

501
00:26:38,320 --> 00:26:41,960
Speaker 1: best was an amalgamation and a coalition of a lot

502
00:26:41,960 --> 00:26:44,440
Speaker 1: of disparate groups. You have people all the way from

503
00:26:44,480 --> 00:26:49,640
Speaker 1: a Ron pau libertarian perspective to the AOC like identitarian wing,

504
00:26:49,920 --> 00:26:54,159
Speaker 1: to the economic populist, the union folks, and then you

505
00:26:54,160 --> 00:26:57,240
Speaker 1: know like the Limbus star swers and Tamika Mallories of

506
00:26:57,280 --> 00:26:59,920
Speaker 1: the world. Like. It was always kind of a strange

507
00:27:00,000 --> 00:27:01,800
Speaker 1: group of bedfellow which is fine. I mean that's what

508
00:27:01,840 --> 00:27:07,600
Speaker 1: political movements are exactly. Many times they have internacine like

509
00:27:07,760 --> 00:27:10,919
Speaker 1: war and they don't agree on everything. But Bernie was

510
00:27:10,960 --> 00:27:13,320
Speaker 1: able to speak to a very large group of people.

511
00:27:13,359 --> 00:27:16,040
Speaker 1: Why I think he was probably the most successful progressive

512
00:27:16,200 --> 00:27:20,760
Speaker 1: politician of my lifetime. Well he had a genuinely working class, young,

513
00:27:21,440 --> 00:27:25,160
Speaker 1: working class, multi racial base. I mean that was the core.

514
00:27:25,200 --> 00:27:26,800
Speaker 1: I mean, remember when we used to look at where

515
00:27:26,800 --> 00:27:29,399
Speaker 1: his donations came from. It's like bar Starbucks workers and

516
00:27:29,440 --> 00:27:31,840
Speaker 1: Amazon workers and lo and behold, look at who is

517
00:27:31,880 --> 00:27:35,399
Speaker 1: you know has this Grosser's movement now? So anyway, yeah, listen,

518
00:27:35,440 --> 00:27:37,600
Speaker 1: it's also this is how the Washington Post is spitting it.

519
00:27:37,680 --> 00:27:40,160
Speaker 1: And it may not be totally accurate, but that sort

520
00:27:40,200 --> 00:27:42,439
Speaker 1: of eared. I think the main story out of this

521
00:27:42,560 --> 00:27:45,080
Speaker 1: is that Kamala is number three. I mean that's which

522
00:27:45,080 --> 00:27:48,440
Speaker 1: is that the Secretary of Transportation who took time off

523
00:27:48,480 --> 00:27:51,879
Speaker 1: while he was doing his clearly very important job, is

524
00:27:51,920 --> 00:27:55,159
Speaker 1: the guy who was beeeding the sitting Vice President of

525
00:27:55,200 --> 00:27:59,240
Speaker 1: the United States in Washington. I can guarantee this caused

526
00:27:59,280 --> 00:28:02,800
Speaker 1: a stir. Oh yeah, she threw the newspaper. Or what

527
00:28:03,080 --> 00:28:04,800
Speaker 1: if she still reads the newspaper. I don't actually know. Oh,

528
00:28:04,840 --> 00:28:08,679
Speaker 1: she definitely reads this. I bet she freezes definitely. And

529
00:28:08,760 --> 00:28:12,800
Speaker 1: her comms director and all these people are absolutely how

530
00:28:12,880 --> 00:28:15,879
Speaker 1: dare you? And threats are being made behind the scenes.

531
00:28:15,920 --> 00:28:18,520
Speaker 1: So in that regard, if this thing makes me smile,

532
00:28:18,600 --> 00:28:22,080
Speaker 1: because you just know the Simone Sanders and all of

533
00:28:22,080 --> 00:28:26,400
Speaker 1: them of the world are so pissed off watching Pete

534
00:28:26,400 --> 00:28:30,440
Speaker 1: Boudage Edge eclipse them. And look, these elite games do matter.

535
00:28:30,560 --> 00:28:32,920
Speaker 1: Let's be honest in terms of the DNC, in terms

536
00:28:32,960 --> 00:28:34,800
Speaker 1: of the people in this town who matter. They all

537
00:28:34,840 --> 00:28:37,439
Speaker 1: read that list and they all probably privately agree. It

538
00:28:37,520 --> 00:28:39,400
Speaker 1: just shows you how awful of a politician that she

539
00:28:39,440 --> 00:28:43,120
Speaker 1: actually Well, that's the thing is if you're a candidate

540
00:28:43,360 --> 00:28:46,560
Speaker 1: running to be in sort of like the Bernie grassroots lane.

541
00:28:47,040 --> 00:28:49,400
Speaker 1: This kind of crop really doesn't make it different. Do

542
00:28:49,440 --> 00:28:51,720
Speaker 1: you think that there's a single Sanders voter who's, like

543
00:28:51,800 --> 00:28:54,720
Speaker 1: the Washington Post says I should get behind Elizabeth Warren?

544
00:28:55,240 --> 00:28:58,360
Speaker 1: You know, no, But if you are trying to play

545
00:28:58,440 --> 00:29:02,040
Speaker 1: the inside establishment, these sorts of things do matter, and

546
00:29:02,160 --> 00:29:04,360
Speaker 1: especially this is the sort of stuff that the donor

547
00:29:04,400 --> 00:29:06,600
Speaker 1: class reads. I don't know if you all remember we

548
00:29:06,640 --> 00:29:09,600
Speaker 1: covered reports that there were like already secret meetings of

549
00:29:09,960 --> 00:29:12,800
Speaker 1: the billionaire and the hundred millionaire class to try to

550
00:29:12,800 --> 00:29:15,640
Speaker 1: figure out how they could push Pete ahead of Kamala

551
00:29:15,680 --> 00:29:18,920
Speaker 1: in line. But the bigger picture here too is just

552
00:29:19,760 --> 00:29:23,000
Speaker 1: they have apparently done one of these lists before, and

553
00:29:23,040 --> 00:29:25,920
Speaker 1: they've always assumed, like, let's just take Biden out of it,

554
00:29:25,960 --> 00:29:28,560
Speaker 1: because we assume that if Biden runs, you will be

555
00:29:28,640 --> 00:29:31,840
Speaker 1: the nominee. But they actually go through this one and say,

556
00:29:31,920 --> 00:29:34,400
Speaker 1: you know what, looking at the polling, that's not at

557
00:29:34,440 --> 00:29:38,440
Speaker 1: all clear because a you gov poll recently found that

558
00:29:38,480 --> 00:29:41,840
Speaker 1: only twenty one percent of Democratic leaning voter said Joe

559
00:29:41,840 --> 00:29:44,640
Speaker 1: Biden would be their choice. Yeah, twenty one percent. So

560
00:29:44,680 --> 00:29:48,560
Speaker 1: in the same poll, Trump had forty three percent. Not

561
00:29:48,840 --> 00:29:52,640
Speaker 1: sure undecided had almost as large of a percentage as

562
00:29:52,720 --> 00:29:55,600
Speaker 1: Joe Biden did. And by the way, it was eighteen

563
00:29:55,600 --> 00:29:58,080
Speaker 1: percent who said they didn't know. And by the way,

564
00:29:58,320 --> 00:30:01,520
Speaker 1: the next two in line were Kamala Harris and Bernie Sanders,

565
00:30:01,560 --> 00:30:04,000
Speaker 1: who each had fourteen percent. Now, Bernie has all but

566
00:30:04,120 --> 00:30:08,240
Speaker 1: ruled out running again. I mean, look, he's yeah, and

567
00:30:08,360 --> 00:30:10,320
Speaker 1: you know, we see it still seems like physically mentally

568
00:30:10,320 --> 00:30:12,280
Speaker 1: sharb or whatever. But he had a heart attack during

569
00:30:12,280 --> 00:30:16,320
Speaker 1: the last campaigns. So an eighty eight years old. Yeah,

570
00:30:16,360 --> 00:30:19,440
Speaker 1: so I mean, listen, if he ran, i'd still I'd

571
00:30:19,520 --> 00:30:22,280
Speaker 1: still support the values in the vision, but I don't

572
00:30:22,280 --> 00:30:25,680
Speaker 1: think he's on the table this time. But that basically

573
00:30:25,720 --> 00:30:29,240
Speaker 1: just pointed to the fact that they there is no

574
00:30:29,280 --> 00:30:32,040
Speaker 1: consensus in the Democratic Party, that even the base of

575
00:30:32,040 --> 00:30:35,280
Speaker 1: the Democratic Party is like, I'm not sure about Joe again,

576
00:30:35,480 --> 00:30:37,840
Speaker 1: and they're like, and Kamala is, now, look at how

577
00:30:38,560 --> 00:30:42,440
Speaker 1: so it is hard to understate how extraordinary it is

578
00:30:42,800 --> 00:30:46,160
Speaker 1: to have a sitting Democratic president and have this level

579
00:30:46,320 --> 00:30:50,560
Speaker 1: of total uncertainty about who the next nominee might ultimately be.

580
00:30:51,360 --> 00:30:58,800
Speaker 1: Blood in the water. It is really pretty wild. Let's

581
00:30:58,800 --> 00:31:00,320
Speaker 1: get to this next part, go ahead and throw this

582
00:31:00,400 --> 00:31:03,400
Speaker 1: up on the screen. Here, guys, we are looking at

583
00:31:03,480 --> 00:31:06,920
Speaker 1: some new poll numbers that show that seventy five percent

584
00:31:07,160 --> 00:31:11,800
Speaker 1: of Americans think that Amazon workers need a union. Eighty

585
00:31:11,920 --> 00:31:15,360
Speaker 1: three percent of respondence age eighteen to thirty four back

586
00:31:15,480 --> 00:31:19,440
Speaker 1: Amazon labor union. Seventy one percent of young Trump voters

587
00:31:19,560 --> 00:31:22,120
Speaker 1: support the Amazon union. So that shows you, I mean,

588
00:31:22,160 --> 00:31:24,880
Speaker 1: there's a little bit of a partisan divide here, but

589
00:31:25,080 --> 00:31:30,280
Speaker 1: it really is overwhelming support for workers to have at

590
00:31:30,320 --> 00:31:32,840
Speaker 1: Amazon union. And one of the things that I found

591
00:31:32,880 --> 00:31:36,200
Speaker 1: really interesting here, Sager, is that, you know, we've talked

592
00:31:36,200 --> 00:31:39,920
Speaker 1: about before how Amazon, the company itself like people like it.

593
00:31:39,920 --> 00:31:43,000
Speaker 1: It's convenient your stuff really quickly, and they found, in fact,

594
00:31:43,040 --> 00:31:47,840
Speaker 1: Amazon had ninety one percent approval rating of people that

595
00:31:48,360 --> 00:31:50,920
Speaker 1: like it. But people were able to see both like

596
00:31:51,240 --> 00:31:54,440
Speaker 1: I enjoy getting my products quickly and having the everything

597
00:31:54,480 --> 00:31:57,640
Speaker 1: store there and the convenience that that entails, but I

598
00:31:57,680 --> 00:32:01,320
Speaker 1: also really strongly feel that their workers should be treated

599
00:32:01,360 --> 00:32:03,680
Speaker 1: decently and have some say in their workplace. So I

600
00:32:03,760 --> 00:32:06,880
Speaker 1: found that really really interesting, and you know it, really

601
00:32:07,160 --> 00:32:09,280
Speaker 1: the support was across the board. There was a little

602
00:32:09,320 --> 00:32:13,360
Speaker 1: bit of a generational divide here, so older Trump voters

603
00:32:13,400 --> 00:32:16,280
Speaker 1: in particular were probably the most skeptical, but they still

604
00:32:17,520 --> 00:32:21,800
Speaker 1: still sixty six percent of older Trump supporters also thought that,

605
00:32:22,000 --> 00:32:24,680
Speaker 1: you know, Amazon workers should have a union. So I

606
00:32:24,720 --> 00:32:28,719
Speaker 1: think it also puts into perspective all the freak out

607
00:32:28,800 --> 00:32:31,000
Speaker 1: that we talked about yesterday about Christian Smells, who's of

608
00:32:31,040 --> 00:32:33,480
Speaker 1: course the president of Amazon labor union, going on with

609
00:32:33,720 --> 00:32:37,120
Speaker 1: Tucker Carlson, and like the fact that these one of

610
00:32:37,160 --> 00:32:40,720
Speaker 1: the arguments that I saw made online about why he

611
00:32:40,760 --> 00:32:44,320
Speaker 1: shouldn't go on is because Tucker's audience isn't persuadable, And

612
00:32:44,360 --> 00:32:47,920
Speaker 1: it's like Tucker's audience is apparently already persuaded. Yes, at

613
00:32:48,000 --> 00:32:50,520
Speaker 1: least a significant part of them are already on board,

614
00:32:50,960 --> 00:32:54,720
Speaker 1: So you know you're actually going when you go on

615
00:32:55,000 --> 00:32:57,440
Speaker 1: any network, whether they're speaking to a right wing audience,

616
00:32:57,480 --> 00:32:59,960
Speaker 1: a left wing audience, a liberal audience, or anywhere in between,

617
00:33:00,600 --> 00:33:03,560
Speaker 1: you are likely to find a lot of receptivity because

618
00:33:03,560 --> 00:33:06,640
Speaker 1: the support is so incredibly overwhelming. Look, YouTube comments are

619
00:33:06,680 --> 00:33:10,120
Speaker 1: not obviously a good metric, you know a judge. Thing

620
00:33:10,280 --> 00:33:12,080
Speaker 1: that being said, I actually was curious. I went I

621
00:33:12,160 --> 00:33:14,160
Speaker 1: looked at the comments on your monologue yesterday because I

622
00:33:14,200 --> 00:33:16,240
Speaker 1: knew it was going to resonate with some Tucker and

623
00:33:16,280 --> 00:33:19,120
Speaker 1: conservative folks. There were an overwhelming number of comments, and look,

624
00:33:19,160 --> 00:33:22,320
Speaker 1: our audience is also disproportionately very young, so millennials and

625
00:33:22,360 --> 00:33:25,400
Speaker 1: gen Z almost entirely make up like ninety something percent

626
00:33:25,400 --> 00:33:28,080
Speaker 1: of the people who watch the show. So that's another

627
00:33:28,120 --> 00:33:30,520
Speaker 1: reason I'm curious. So I'm going and I'm reading the comments,

628
00:33:30,520 --> 00:33:33,040
Speaker 1: and overwhelmingly people are like, hey, Chrystally, you changed my

629
00:33:33,120 --> 00:33:36,080
Speaker 1: mind on unions, or they say, look, I'm still skeptical

630
00:33:36,120 --> 00:33:38,520
Speaker 1: of big labor and of a lot of the people

631
00:33:38,560 --> 00:33:40,920
Speaker 1: talking about social justice and that stuff. But Chris Small

632
00:33:41,000 --> 00:33:44,640
Speaker 1: seems like a legitimately a good faith activist who's just

633
00:33:44,840 --> 00:33:48,240
Speaker 1: fighting for better workers' rights. And also, it's true the

634
00:33:48,280 --> 00:33:51,680
Speaker 1: basic argument of we need some balance by the workforce

635
00:33:51,760 --> 00:33:55,280
Speaker 1: against this giant behemoth. Nobody disagreed with that. Yeah that

636
00:33:55,400 --> 00:33:57,680
Speaker 1: is see that is the most powerful which is that

637
00:33:57,720 --> 00:34:01,800
Speaker 1: when you disaggregate this from broader identity politics, culture war fights.

638
00:34:01,920 --> 00:34:04,920
Speaker 1: How can you look at the largest, second largest employer

639
00:34:04,960 --> 00:34:07,920
Speaker 1: of individuals in the United States having all the power

640
00:34:07,960 --> 00:34:11,600
Speaker 1: over its entire workforce and say, hey, maybe they should

641
00:34:11,600 --> 00:34:14,360
Speaker 1: have a say in how long their break is. And

642
00:34:14,520 --> 00:34:19,480
Speaker 1: there are wages, working conditions. You know, Americans are good people.

643
00:34:19,680 --> 00:34:22,120
Speaker 1: They don't want to see people taking advantage of Most

644
00:34:22,120 --> 00:34:24,919
Speaker 1: people also still believe in free market capitalism, so they'll

645
00:34:24,920 --> 00:34:26,840
Speaker 1: look at that and say, look, Bezos, it's cool you

646
00:34:26,840 --> 00:34:28,920
Speaker 1: got rich all of that. I think you should probably

647
00:34:28,960 --> 00:34:31,400
Speaker 1: pay more taxes. But the people who built your company

648
00:34:31,440 --> 00:34:33,319
Speaker 1: for you should have a say in their day to

649
00:34:33,360 --> 00:34:36,520
Speaker 1: day lives. How many Americans at any level of the

650
00:34:36,560 --> 00:34:40,080
Speaker 1: stack quote unquote are able to relate with Your boss

651
00:34:40,120 --> 00:34:42,440
Speaker 1: just says, and it makes you do something that you

652
00:34:42,719 --> 00:34:45,600
Speaker 1: know is ridiculous, but you just have to blindly follow.

653
00:34:45,880 --> 00:34:49,799
Speaker 1: And that level of indignity compounds across your life and

654
00:34:49,840 --> 00:34:53,120
Speaker 1: it makes you depressed. It makes you feel like less

655
00:34:53,160 --> 00:34:56,160
Speaker 1: than human, and you have to go and explore. You know,

656
00:34:56,360 --> 00:34:57,680
Speaker 1: you have to go take a drink or smoke a

657
00:34:57,680 --> 00:35:00,480
Speaker 1: cigarette or whatever just to forget your problem. I mean that,

658
00:35:00,520 --> 00:35:02,880
Speaker 1: how much of that is? How much of that am

659
00:35:02,920 --> 00:35:05,800
Speaker 1: I describing of the everyday life of the average American.

660
00:35:05,960 --> 00:35:08,200
Speaker 1: I don't think that's going to go away ever, But

661
00:35:08,960 --> 00:35:11,040
Speaker 1: you know, having some say in that that has real

662
00:35:11,080 --> 00:35:14,200
Speaker 1: consequences for people's lives. It's huge, and I think people

663
00:35:14,239 --> 00:35:17,040
Speaker 1: want to they want to order stuff from Amazon. They

664
00:35:17,080 --> 00:35:20,560
Speaker 1: want to feel good about stuff from Amazon, you know,

665
00:35:20,840 --> 00:35:25,279
Speaker 1: And I think everyone sees how extraordinarily profitable, I mean

666
00:35:25,320 --> 00:35:28,839
Speaker 1: the billions of billions of dollars that Amazon raked in

667
00:35:28,920 --> 00:35:32,319
Speaker 1: from all of us during the pandemic. And so there's

668
00:35:32,360 --> 00:35:35,480
Speaker 1: also an awareness of like, no, you could afford to

669
00:35:35,520 --> 00:35:38,680
Speaker 1: treat like this union is not going to destroy your business,

670
00:35:38,719 --> 00:35:41,560
Speaker 1: Like no one's going to believe that about Amazon. They

671
00:35:41,560 --> 00:35:43,880
Speaker 1: feel like you could afford to treat your workers a

672
00:35:43,880 --> 00:35:45,759
Speaker 1: little bit better and let them have a little bit

673
00:35:45,800 --> 00:35:48,120
Speaker 1: of say in their workplace so that they don't have

674
00:35:48,200 --> 00:35:50,960
Speaker 1: to suffer the indignities that we've talked about here. And

675
00:35:51,160 --> 00:35:53,600
Speaker 1: one of the things that Chris always talks about and

676
00:35:53,640 --> 00:35:56,760
Speaker 1: other Amazon workers that we've spoken with always speak about

677
00:35:56,920 --> 00:36:00,840
Speaker 1: is just the inhumanity of having this automated system that

678
00:36:01,360 --> 00:36:03,680
Speaker 1: hires and fires you. You're not even dealing with a

679
00:36:03,760 --> 00:36:07,120
Speaker 1: human being. And New York Times we talked to Jodi

680
00:36:07,160 --> 00:36:10,279
Speaker 1: Canter remember about what a mess their HR system is

681
00:36:10,280 --> 00:36:13,480
Speaker 1: through all of these automated processes where people are getting

682
00:36:13,480 --> 00:36:16,680
Speaker 1: fired for no reason, through no fault of their own,

683
00:36:16,760 --> 00:36:19,160
Speaker 1: and there's just like no recourse. You can't even get

684
00:36:19,200 --> 00:36:21,640
Speaker 1: a human being on the phone to explain what the

685
00:36:21,640 --> 00:36:24,520
Speaker 1: hell happened or to try to get your job reinstated.

686
00:36:24,880 --> 00:36:30,000
Speaker 1: So that's the kind of like automated algorithmic tyranny that

687
00:36:30,040 --> 00:36:33,719
Speaker 1: they live under every single day. There was actually a

688
00:36:33,760 --> 00:36:36,799
Speaker 1: post that was floating around of Amazon had posted at

689
00:36:36,840 --> 00:36:40,120
Speaker 1: one of their facilities on Easter Sunday. So these workers

690
00:36:40,160 --> 00:36:42,920
Speaker 1: who came in on Easter Sunday, they were like, thanks

691
00:36:42,960 --> 00:36:47,160
Speaker 1: for coming in on Easter Sunday as a reward if

692
00:36:47,239 --> 00:36:49,400
Speaker 1: you have this high It was like three hundred and

693
00:36:49,440 --> 00:36:52,000
Speaker 1: fifteen raid. I don't know what that translates to, but

694
00:36:52,040 --> 00:36:55,040
Speaker 1: I'm sure it's some sort of nightmarish warehouse pace. Then

695
00:36:55,200 --> 00:37:01,080
Speaker 1: you get entered into a raffle four Chips Minnesota, it's like,

696
00:37:01,880 --> 00:37:05,279
Speaker 1: that's your reward for us giving up our holiday and

697
00:37:05,320 --> 00:37:08,640
Speaker 1: coming in and slaving away for you. It shows the

698
00:37:08,719 --> 00:37:12,960
Speaker 1: level of contempt that they have ultimately for these workers.

699
00:37:13,000 --> 00:37:15,640
Speaker 1: So I think it's extraordinary. I just want to highlight,

700
00:37:15,719 --> 00:37:20,280
Speaker 1: you know, at this point, because union favorability is so high,

701
00:37:20,360 --> 00:37:24,279
Speaker 1: because there has been such a shift in consciousness during

702
00:37:24,320 --> 00:37:27,480
Speaker 1: the pandemic of who does what in this society and

703
00:37:27,520 --> 00:37:30,319
Speaker 1: who really makes this thing run? And there's been a

704
00:37:30,360 --> 00:37:34,040
Speaker 1: lot of you know, people who were previously sort of

705
00:37:34,040 --> 00:37:37,080
Speaker 1: invisible in the society. Warehouse workers doing the work behind

706
00:37:37,120 --> 00:37:39,359
Speaker 1: the scenes, have become a lot more visible to folks

707
00:37:39,400 --> 00:37:44,280
Speaker 1: who understand the incredibly essential work that they've been doing,

708
00:37:44,320 --> 00:37:47,560
Speaker 1: truly to keep the country running. And so it's easy

709
00:37:47,600 --> 00:37:49,880
Speaker 1: to take for granted that there would be this positive

710
00:37:49,920 --> 00:37:52,919
Speaker 1: sentiment in favor of a union at Amazon. But this

711
00:37:53,160 --> 00:37:57,520
Speaker 1: is a complete sea change from just not long ago

712
00:37:57,840 --> 00:38:01,440
Speaker 1: at all. I mean, when I was doing regular Fox

713
00:38:01,480 --> 00:38:05,279
Speaker 1: News hits, the anti union stuff was every day, all day.

714
00:38:05,640 --> 00:38:08,040
Speaker 1: It was very popular with the base. You know, we'd

715
00:38:08,040 --> 00:38:12,920
Speaker 1: had decades of anti union propaganda, convincing people of all

716
00:38:12,960 --> 00:38:15,360
Speaker 1: sorts of lies about what unions actually are and what

717
00:38:15,400 --> 00:38:18,160
Speaker 1: they actually mean. And I do think that with Chris

718
00:38:18,200 --> 00:38:20,960
Speaker 1: Mall's and with the Amazon labor Union obviously is very

719
00:38:21,000 --> 00:38:23,719
Speaker 1: critical of AOC and others for not showing up for

720
00:38:23,760 --> 00:38:25,880
Speaker 1: them when it really counted, when they were you know,

721
00:38:25,960 --> 00:38:29,040
Speaker 1: before they ultimately cast ballots. I think it's ended up

722
00:38:29,040 --> 00:38:31,560
Speaker 1: being a blessing in disguise though, because it means that

723
00:38:31,600 --> 00:38:34,200
Speaker 1: they haven't been associated with any sort of partisan game

724
00:38:34,600 --> 00:38:37,680
Speaker 1: that's what they just are in and of them themselves,

725
00:38:38,000 --> 00:38:40,520
Speaker 1: you know, and sort of judged on the merits of

726
00:38:40,560 --> 00:38:42,759
Speaker 1: what they're doing. So it makes it hard to just

727
00:38:42,880 --> 00:38:45,200
Speaker 1: put it into a partisan space. And I do think

728
00:38:45,200 --> 00:38:47,000
Speaker 1: that's part of what's contributing to these very high nights.

729
00:38:47,040 --> 00:38:49,319
Speaker 1: We talked about this yesterday. You know, Staten Island is

730
00:38:49,360 --> 00:38:51,600
Speaker 1: a Trump country. I don't think a lot of people

731
00:38:51,640 --> 00:38:54,480
Speaker 1: realize that. I guess who. They're all watching Tucker, so

732
00:38:54,520 --> 00:38:56,759
Speaker 1: they're like, oh, you are on Tuka. That's like a

733
00:38:56,800 --> 00:39:00,480
Speaker 1: big thing, you know, in terms of credibility for him.

734
00:39:00,719 --> 00:39:02,319
Speaker 1: And I think that the reason that all of this

735
00:39:02,440 --> 00:39:06,040
Speaker 1: matters is, if anything, the more grassroots it is, the

736
00:39:06,080 --> 00:39:08,520
Speaker 1: better that it is going to succeed. The less it

737
00:39:08,520 --> 00:39:11,000
Speaker 1: gets attached to our culture war and to our broader

738
00:39:11,040 --> 00:39:14,839
Speaker 1: American political agenda, the worse that a political movement is

739
00:39:15,040 --> 00:39:18,719
Speaker 1: going to fare. So Chris, God bless you, stay independent,

740
00:39:19,000 --> 00:39:21,120
Speaker 1: don't let anybody try and take hold of this thing,

741
00:39:21,480 --> 00:39:23,600
Speaker 1: and stay true to yourself. The more that you do,

742
00:39:23,760 --> 00:39:25,480
Speaker 1: the more you're going to succeed. And that's why that

743
00:39:25,520 --> 00:39:28,480
Speaker 1: we've seen the level of success that he has had. Yeah, Okay,

744
00:39:28,600 --> 00:39:31,279
Speaker 1: let's move on to something. I am just so so

745
00:39:31,480 --> 00:39:33,600
Speaker 1: happy to be able to report to all of you.

746
00:39:33,760 --> 00:39:36,040
Speaker 1: Let's go ahead and put this up there on the screen.

747
00:39:36,440 --> 00:39:41,520
Speaker 1: The TSA, the hall monitors will stop enforcing the traveler

748
00:39:41,760 --> 00:39:44,680
Speaker 1: mask mandate. All four airlines came out and said they

749
00:39:44,680 --> 00:39:48,840
Speaker 1: will no longer require masks on planes. The news actually

750
00:39:48,880 --> 00:39:50,960
Speaker 1: broke in the middle of the day, and there were

751
00:39:51,040 --> 00:39:55,040
Speaker 1: videos circulating online of pilots and of flight attendants actually

752
00:39:55,080 --> 00:39:57,319
Speaker 1: breaking down in tears being able to take their mask

753
00:39:57,360 --> 00:40:00,480
Speaker 1: off for the first time in two years. People were hearing,

754
00:40:00,719 --> 00:40:04,600
Speaker 1: they were celebrating crystal. The circumstances of this, I will admit,

755
00:40:04,719 --> 00:40:07,440
Speaker 1: are a little weird, so let's go through whatex actually

756
00:40:07,480 --> 00:40:11,960
Speaker 1: happened now. A federal judge in Florida on Monday struck

757
00:40:12,000 --> 00:40:16,200
Speaker 1: down the mandate. US District Judge Catherine kimballt Mezzol said

758
00:40:16,200 --> 00:40:20,560
Speaker 1: that the CDC and Prevention exceeded its statuary authority and

759
00:40:20,640 --> 00:40:24,160
Speaker 1: it failed to properly justify its decision. The suit was

760
00:40:24,200 --> 00:40:28,520
Speaker 1: initially filed last July by the Health Freedom Defense Fund. Now,

761
00:40:28,560 --> 00:40:32,160
Speaker 1: per the ruling, the fund is a nonprofit organization that

762
00:40:32,200 --> 00:40:34,120
Speaker 1: doesn't want to force people to do this, and the

763
00:40:34,160 --> 00:40:36,960
Speaker 1: court declares because our system does not permit agencies to

764
00:40:37,000 --> 00:40:40,480
Speaker 1: act unlawfully even in pursuit of a desirable end. The

765
00:40:40,520 --> 00:40:44,200
Speaker 1: court declares unlawful and vacates the mass mandate on travel.

766
00:40:44,400 --> 00:40:47,960
Speaker 1: The CDC Now, for context, it actually extended that mandate

767
00:40:48,040 --> 00:40:52,040
Speaker 1: until May third for planes, buses, trains, and transit hubs

768
00:40:52,040 --> 00:40:55,319
Speaker 1: which come under federal authority. Now it does come into

769
00:40:55,360 --> 00:40:57,799
Speaker 1: question here of whether the White House is going to

770
00:40:57,840 --> 00:41:00,520
Speaker 1: fight for this decision. They came out and said this.

771
00:41:00,760 --> 00:41:03,960
Speaker 1: Here's what Jen Psaki said, This comes out this afternoon

772
00:41:04,200 --> 00:41:06,360
Speaker 1: right now. The DHS who would be implementing this in

773
00:41:06,400 --> 00:41:09,160
Speaker 1: the CDC or reviewing the decision. The Department of Justice

774
00:41:09,160 --> 00:41:12,200
Speaker 1: will make any determinations about litigation. They are assessing it

775
00:41:12,280 --> 00:41:13,880
Speaker 1: right now, and as soon as they have an assessment

776
00:41:13,920 --> 00:41:16,120
Speaker 1: and an update, they will make that available. She did

777
00:41:16,160 --> 00:41:19,920
Speaker 1: call this quote an obviously disappointing decision. Now, if they

778
00:41:19,960 --> 00:41:23,319
Speaker 1: were smart, they would just let it die and not

779
00:41:23,440 --> 00:41:26,600
Speaker 1: pursue it. However, I don't know if the freaks in

780
00:41:26,680 --> 00:41:30,120
Speaker 1: the CDC will allow that to happen. At the same time,

781
00:41:30,360 --> 00:41:34,279
Speaker 1: we have seen a complete really just we have seen

782
00:41:34,320 --> 00:41:36,240
Speaker 1: a complete sea change in the last twenty four hours.

783
00:41:36,400 --> 00:41:38,800
Speaker 1: Just this morning, Crystal Uber announced it will no longer

784
00:41:38,840 --> 00:41:41,399
Speaker 1: be enforcing the mass plate in all of his cars.

785
00:41:41,440 --> 00:41:45,000
Speaker 1: So also thank god in terms of that one, you

786
00:41:45,040 --> 00:41:48,160
Speaker 1: see Uber all four major airlines coming out and saying

787
00:41:48,200 --> 00:41:52,000
Speaker 1: that in addition, not only the TSA but Amtrak, let's

788
00:41:52,000 --> 00:41:54,640
Speaker 1: put this up there on the screen, ends its mass

789
00:41:54,640 --> 00:41:58,120
Speaker 1: mandate because that's also governed by federal law. The only

790
00:41:58,160 --> 00:42:01,080
Speaker 1: people bucking are the MTA in New York City. So

791
00:42:01,400 --> 00:42:03,239
Speaker 1: sorry for all the people who live in New York

792
00:42:03,280 --> 00:42:06,560
Speaker 1: and still have to rise. Jersey Transit and the LRR.

793
00:42:06,880 --> 00:42:09,239
Speaker 1: You guys still have to wear masks. Of course, the

794
00:42:09,280 --> 00:42:12,360
Speaker 1: city of Philadelphia still requires masks. So I kind of

795
00:42:12,360 --> 00:42:14,000
Speaker 1: put it this way, which is that I think that

796
00:42:14,040 --> 00:42:17,320
Speaker 1: this is the final death really of the COVID regime

797
00:42:17,400 --> 00:42:19,759
Speaker 1: in terms of its national politics in the way that

798
00:42:19,840 --> 00:42:23,279
Speaker 1: it affects us. Does that mean that private crazy institutions

799
00:42:23,520 --> 00:42:25,920
Speaker 1: like I don't know if you know this, every university

800
00:42:25,920 --> 00:42:29,560
Speaker 1: here in Washington currently has a mass mandate GW American University,

801
00:42:29,560 --> 00:42:32,480
Speaker 1: and Georgetown because of a rising case levels. And if

802
00:42:32,520 --> 00:42:36,000
Speaker 1: you look at the city of Philadelphia, many private institutions

803
00:42:36,040 --> 00:42:37,640
Speaker 1: I think Stanford have a friend who goes there. He

804
00:42:37,719 --> 00:42:40,240
Speaker 1: was telling me that the mass mandate is an effect

805
00:42:40,400 --> 00:42:44,960
Speaker 1: in classrooms. Will there be limited instances in like hyperliberal spaces, yes,

806
00:42:45,120 --> 00:42:47,120
Speaker 1: But in terms of the way that it touches everyday

807
00:42:47,160 --> 00:42:49,880
Speaker 1: American life, I think it's over. I mean, at this point,

808
00:42:50,040 --> 00:42:53,120
Speaker 1: all fifty states no longer have mass mandates indoor and outdoor.

809
00:42:53,560 --> 00:42:56,480
Speaker 1: Like I said, some will come back on limited localities,

810
00:42:56,520 --> 00:42:59,640
Speaker 1: but the travel one was the main way, especially because

811
00:42:59,640 --> 00:43:03,520
Speaker 1: it applies to trains, buses, and pretty much all public transportation.

812
00:43:04,120 --> 00:43:06,560
Speaker 1: That is the one where people still had to kind of,

813
00:43:06,760 --> 00:43:09,239
Speaker 1: you know, engage with some of these ridiculous rules. And

814
00:43:09,280 --> 00:43:11,760
Speaker 1: it's finally over. The mass theater is dead. The trucker

815
00:43:11,800 --> 00:43:14,680
Speaker 1: convoy one. That's kidding my head. That's a good take.

816
00:43:15,040 --> 00:43:18,359
Speaker 1: That's a good take. I'm sure that claim victory. Although

817
00:43:18,360 --> 00:43:20,479
Speaker 1: they were a pain in the ass with I'm gonna

818
00:43:20,520 --> 00:43:22,880
Speaker 1: be honest, it was sucked. I mean. But that's the

819
00:43:22,920 --> 00:43:25,080
Speaker 1: reason it's funny and a joke is because by the

820
00:43:25,120 --> 00:43:28,359
Speaker 1: time they protested, it was all already over. Yah. I mean,

821
00:43:28,640 --> 00:43:31,200
Speaker 1: Biden basically declared this war over in his State of

822
00:43:31,280 --> 00:43:34,080
Speaker 1: Union speech. We talked about it the COVID part of

823
00:43:34,160 --> 00:43:37,760
Speaker 1: the State of Union speech. It barely even got noticed

824
00:43:37,920 --> 00:43:41,279
Speaker 1: because it had already fallen off of the bat for

825
00:43:41,400 --> 00:43:43,880
Speaker 1: a lot of Americans in terms of their top priority,

826
00:43:44,000 --> 00:43:46,319
Speaker 1: So there was very little discussion about what he said

827
00:43:46,320 --> 00:43:48,640
Speaker 1: about COVID in his speech. Ultimately, it is like, what

828
00:43:48,760 --> 00:43:50,920
Speaker 1: is the gallup said, those like three percent of Americans

829
00:43:50,920 --> 00:43:52,719
Speaker 1: that say COVID policy, and they all live here and

830
00:43:52,719 --> 00:43:57,080
Speaker 1: watch it's still there their number one priority. So you know,

831
00:43:57,280 --> 00:44:00,480
Speaker 1: I've been occasionally sort of irritated with There's been a

832
00:44:00,560 --> 00:44:02,920
Speaker 1: lot of like fear migramy, like the lockdowns are coming

833
00:44:02,960 --> 00:44:05,840
Speaker 1: back and they're gonna do it again. And I just

834
00:44:06,000 --> 00:44:08,880
Speaker 1: don't see that and haven't seen that as a realistic

835
00:44:08,920 --> 00:44:13,320
Speaker 1: possibility for a long time, because ultimately, you know, public

836
00:44:13,360 --> 00:44:16,520
Speaker 1: opinion had really moved. It's a very different landscape now

837
00:44:16,520 --> 00:44:20,600
Speaker 1: that you have vaccinations widely available. I look, people should

838
00:44:20,600 --> 00:44:22,480
Speaker 1: feel comfortable if they want to wear a mask on all.

839
00:44:22,640 --> 00:44:24,759
Speaker 1: If they want to wear a mask, do it, you know,

840
00:44:24,800 --> 00:44:26,600
Speaker 1: if that makes sense for you, if it's just like

841
00:44:26,640 --> 00:44:28,160
Speaker 1: a level of comfort, or if you just want to

842
00:44:28,200 --> 00:44:29,759
Speaker 1: be like sort of anonymous and have a mask on

843
00:44:29,800 --> 00:44:32,399
Speaker 1: your face, which I kind of enjoy sometimes, go for it.

844
00:44:33,280 --> 00:44:36,960
Speaker 1: But you know, I would actually be a little bit

845
00:44:37,000 --> 00:44:40,600
Speaker 1: surprised if the Biden administration does decide to fight this

846
00:44:40,680 --> 00:44:43,680
Speaker 1: in the courts, I think I think they'll put up

847
00:44:43,880 --> 00:44:46,160
Speaker 1: some sort of like you know, like she said, this

848
00:44:46,360 --> 00:44:48,600
Speaker 1: disappointing and we're going to look at it. I think

849
00:44:48,600 --> 00:44:51,239
Speaker 1: they'll sort of say some of those things and then

850
00:44:51,360 --> 00:44:54,400
Speaker 1: kind of quietly let it go because this is not

851
00:44:54,520 --> 00:44:57,560
Speaker 1: what they want to focus on right now either. I mean,

852
00:44:57,640 --> 00:45:00,359
Speaker 1: Biden in his State of the speech made it very

853
00:45:00,360 --> 00:45:02,960
Speaker 1: clear like we need to you know, one of his

854
00:45:03,000 --> 00:45:04,719
Speaker 1: things that's sort of irritating is like get back in

855
00:45:04,760 --> 00:45:06,279
Speaker 1: the office. I don't really agree with that. If people

856
00:45:06,280 --> 00:45:08,640
Speaker 1: are happy doing remote work and they're just productive, I

857
00:45:08,680 --> 00:45:11,319
Speaker 1: have no issue with that whatsoever. But certainly the we

858
00:45:11,360 --> 00:45:13,040
Speaker 1: need to be in schools, we need to be back

859
00:45:13,040 --> 00:45:15,360
Speaker 1: to work, we need to be getting back to normal,

860
00:45:15,440 --> 00:45:17,920
Speaker 1: given the fact that the vaccines work, that they have

861
00:45:18,040 --> 00:45:21,120
Speaker 1: been incredibly effective, and that they are widely available to

862
00:45:21,200 --> 00:45:25,040
Speaker 1: anyone who ultimately wants to get them. So I we'll

863
00:45:25,080 --> 00:45:27,360
Speaker 1: see what the Biden administration does with this, but I

864
00:45:27,680 --> 00:45:30,000
Speaker 1: would actually be a little bit surprised if they decide

865
00:45:30,040 --> 00:45:31,879
Speaker 1: to fight this in the course. I hope you're right,

866
00:45:32,239 --> 00:45:35,000
Speaker 1: but I think you're wrong. I think that they are.

867
00:45:35,520 --> 00:45:37,719
Speaker 1: I think I just think you can underestimate the level

868
00:45:37,719 --> 00:45:39,640
Speaker 1: of COVID insanity all the way up there at the top.

869
00:45:39,760 --> 00:45:42,399
Speaker 1: I mean, with Fauci and his own advisors. The fact

870
00:45:42,400 --> 00:45:44,520
Speaker 1: that they even renewed this thing for two weeks is nuts.

871
00:45:44,680 --> 00:45:47,319
Speaker 1: Their doctor saying yeah, it's absolutely on the table in

872
00:45:47,440 --> 00:45:50,600
Speaker 1: order to extend it, and I just don't know. I

873
00:45:50,920 --> 00:45:55,359
Speaker 1: will also, I thought we'd be wearing forever complaints, and

874
00:45:55,360 --> 00:45:58,040
Speaker 1: you also were very concerned about new lockdowns and a

875
00:45:58,040 --> 00:46:00,040
Speaker 1: lot of things that haven't really come to pass. You

876
00:46:00,120 --> 00:46:05,000
Speaker 1: are one correct, I think you've overestimated. Listen, there are

877
00:46:05,040 --> 00:46:08,720
Speaker 1: people in the administration who are certainly sort of infected

878
00:46:08,719 --> 00:46:11,720
Speaker 1: with brainwormstock the no doubt about it. But I think

879
00:46:12,239 --> 00:46:18,439
Speaker 1: Biden himself has enough of a noormy sense that he's

880
00:46:18,600 --> 00:46:22,319
Speaker 1: clearly signaled we're moving in a different direction now. So

881
00:46:22,920 --> 00:46:24,879
Speaker 1: we'll see. I pray you are correct. We will see,

882
00:46:24,920 --> 00:46:28,360
Speaker 1: although I know my neighbors and they will riot. Let's

883
00:46:28,400 --> 00:46:31,879
Speaker 1: move on. Taylor Lorenz is at it again. I mean,

884
00:46:32,200 --> 00:46:35,240
Speaker 1: I can barely believe how exactly this is all played

885
00:46:35,239 --> 00:46:38,319
Speaker 1: out in the last several hours. So let's start from

886
00:46:38,360 --> 00:46:40,200
Speaker 1: the top, which is that there is an account called

887
00:46:40,200 --> 00:46:42,360
Speaker 1: libs of TikTok. You guys have probably heard about it.

888
00:46:42,480 --> 00:46:44,799
Speaker 1: Joe Rogan has talked about it. It's a very popular one.

889
00:46:44,800 --> 00:46:47,319
Speaker 1: I think it has around six hundred thousand followers by

890
00:46:47,400 --> 00:46:50,120
Speaker 1: the time I checked this morning. Now, Yeah, six hundred

891
00:46:50,160 --> 00:46:53,280
Speaker 1: and fifty. There we go. So this account surfaces videos

892
00:46:53,400 --> 00:46:56,640
Speaker 1: making fun of liberals on TikTok. Often it can be

893
00:46:56,680 --> 00:47:01,080
Speaker 1: trans stuff, identity stuff, LGB whatever, you know, I identify

894
00:47:01,120 --> 00:47:02,800
Speaker 1: as a dog or I identify it's a lot of

895
00:47:03,080 --> 00:47:05,279
Speaker 1: it's a lot of it's culture war. It's critical race,

896
00:47:05,600 --> 00:47:08,600
Speaker 1: culture war mills. That's what this account is. That's sometimes

897
00:47:08,600 --> 00:47:10,799
Speaker 1: it's funny and sometimes I find it offensive, and that's

898
00:47:10,840 --> 00:47:13,239
Speaker 1: what it is. Yeah, I'm mostly find it funny. Uh So,

899
00:47:13,560 --> 00:47:16,359
Speaker 1: this person has been doing this now for about a year,

900
00:47:16,440 --> 00:47:18,520
Speaker 1: maybe a year and a half or so. It's become

901
00:47:18,680 --> 00:47:21,400
Speaker 1: a very popular following and it's definitely become, frankly, in

902
00:47:21,400 --> 00:47:23,640
Speaker 1: my opinion, one of the most important kind of conservative

903
00:47:23,640 --> 00:47:26,399
Speaker 1: activists in the entire country if you care a lot

904
00:47:26,440 --> 00:47:28,120
Speaker 1: about the culture war. And I'm saying that as an

905
00:47:28,160 --> 00:47:30,839
Speaker 1: objective statement in terms of the level of influence that

906
00:47:30,920 --> 00:47:34,840
Speaker 1: it has had. Now that account has been run anonymously,

907
00:47:35,280 --> 00:47:37,759
Speaker 1: the author has or the I guess the owner of

908
00:47:37,800 --> 00:47:40,239
Speaker 1: the account has done some interviews, but has gone to

909
00:47:40,280 --> 00:47:43,839
Speaker 1: great lengths in order to protect her anonymity. She's done

910
00:47:43,880 --> 00:47:47,160
Speaker 1: interviews on Fox News. She's done interviews on podcasts as well,

911
00:47:47,160 --> 00:47:48,759
Speaker 1: but has said that she doesn't want to reveal her

912
00:47:48,760 --> 00:47:51,000
Speaker 1: face simply because of how much of a target that

913
00:47:51,040 --> 00:47:54,919
Speaker 1: she is for many of the online harassment crowd. Well, uh,

914
00:47:54,960 --> 00:47:58,440
Speaker 1: we found out late last night that journalist Taylor Lorenz,

915
00:47:58,440 --> 00:48:01,759
Speaker 1: who we've talked about here, who has decried online harassment,

916
00:48:01,880 --> 00:48:06,600
Speaker 1: who broke down crying on NBC News because she says

917
00:48:06,640 --> 00:48:09,360
Speaker 1: that people are coming after her and her personal identity.

918
00:48:09,480 --> 00:48:11,200
Speaker 1: I don't want to minimize that. I actually think that

919
00:48:11,200 --> 00:48:13,200
Speaker 1: that's awful and I don't think anybody should have to

920
00:48:13,239 --> 00:48:17,279
Speaker 1: experience that. Well, it turns out that she docksed this

921
00:48:17,440 --> 00:48:19,560
Speaker 1: woman and revealed her name. Now, I'm not going to

922
00:48:19,560 --> 00:48:21,400
Speaker 1: read her name here on the air, but let's go

923
00:48:21,400 --> 00:48:24,640
Speaker 1: ahead put this up there on the screen now. She says,

924
00:48:24,880 --> 00:48:29,000
Speaker 1: meet the woman behind libs of TikTok, secretly fueling the

925
00:48:29,120 --> 00:48:33,040
Speaker 1: right Wings outrage machine. In it, she points to the

926
00:48:33,080 --> 00:48:37,399
Speaker 1: anonymous impacts deep and deep and far reaching movement. Its

927
00:48:37,440 --> 00:48:40,960
Speaker 1: content is amplified by high profile media figures. She's appeared

928
00:48:40,960 --> 00:48:44,120
Speaker 1: on Tucker Carlson, it's been referenced on Fox News, and

929
00:48:44,160 --> 00:48:47,879
Speaker 1: then immediately begins to quote all of these fake identity

930
00:48:47,960 --> 00:48:52,000
Speaker 1: experts about how the account is bringing violence against trans

931
00:48:52,040 --> 00:48:56,399
Speaker 1: people or violence against people for simply highlighting videos that

932
00:48:56,440 --> 00:49:00,560
Speaker 1: these people post themselves publicly, and then saying that this

933
00:49:00,640 --> 00:49:03,920
Speaker 1: is in some way inciting harassment and Crystal what I

934
00:49:03,960 --> 00:49:07,040
Speaker 1: found most objectionable. Number One, she tries, of course, in

935
00:49:07,120 --> 00:49:08,960
Speaker 1: order to tie this to Joe Rogan. She's like, oh,

936
00:49:09,080 --> 00:49:11,880
Speaker 1: Joe Rogan, you know, cited it once as a further

937
00:49:11,960 --> 00:49:14,920
Speaker 1: evidence that he's some crazy right wing activists, even though

938
00:49:14,920 --> 00:49:16,360
Speaker 1: if you go talk to Joe ask him how he

939
00:49:16,360 --> 00:49:19,240
Speaker 1: feels about trans people, he'll tell you in his own words.

940
00:49:19,400 --> 00:49:22,160
Speaker 1: But the second thing is they literally link to her

941
00:49:22,200 --> 00:49:25,319
Speaker 1: real estate license and they reveal her name. They say

942
00:49:25,360 --> 00:49:28,480
Speaker 1: exactly the not just area of New York, but the

943
00:49:28,520 --> 00:49:31,760
Speaker 1: specific neighborhood of New York that she lives in, citing

944
00:49:32,040 --> 00:49:35,120
Speaker 1: you know who she this person is, and that level

945
00:49:35,320 --> 00:49:40,120
Speaker 1: of identification is just ludicrous, especially in the context of

946
00:49:40,160 --> 00:49:43,120
Speaker 1: this entire article, which is meant to paint her as

947
00:49:43,120 --> 00:49:45,480
Speaker 1: some sort of hate Bongerer. Now, I personally think there

948
00:49:45,520 --> 00:49:47,360
Speaker 1: is a story to be told about the lives of

949
00:49:47,400 --> 00:49:50,600
Speaker 1: TikTok account. I've spoken about it offline privately with my friends.

950
00:49:50,760 --> 00:49:52,879
Speaker 1: Like I said, I think it's crazy this account came

951
00:49:52,920 --> 00:49:56,160
Speaker 1: out of nowhere and legitimately became probably the most important

952
00:49:56,200 --> 00:49:58,200
Speaker 1: right wing account in the entire country. And I don't

953
00:49:58,239 --> 00:50:00,279
Speaker 1: mean that like I said, I mean I think it's

954
00:50:00,320 --> 00:50:04,440
Speaker 1: probably single handedly responsible for the Florida legislation on not

955
00:50:04,440 --> 00:50:06,480
Speaker 1: being able to talk about sexual identity to kids who

956
00:50:06,520 --> 00:50:09,120
Speaker 1: are K through three. I think it's probably responsible for,

957
00:50:09,840 --> 00:50:12,360
Speaker 1: along with Christopher Rufo, for a lot of the critical

958
00:50:12,480 --> 00:50:15,800
Speaker 1: of race theory legislation that has gone across the country.

959
00:50:15,960 --> 00:50:18,400
Speaker 1: And objectively, like, when you look at it, that story

960
00:50:18,480 --> 00:50:20,600
Speaker 1: is interesting and I think it should be told actually,

961
00:50:20,760 --> 00:50:23,759
Speaker 1: But instead this is just a bad faith critique and

962
00:50:23,760 --> 00:50:25,320
Speaker 1: it's clearly meant to docks her and to ruin this

963
00:50:25,360 --> 00:50:27,880
Speaker 1: woman's life. And it's just how can Taylor square that

964
00:50:28,239 --> 00:50:31,279
Speaker 1: with what she has done and said about what has

965
00:50:31,320 --> 00:50:35,480
Speaker 1: happened that's her. The part is, if you are Taylor

966
00:50:35,560 --> 00:50:39,160
Speaker 1: Lorenz and you have put yourself out there as like, oh,

967
00:50:39,320 --> 00:50:43,840
Speaker 1: I can't be criticized because that means that if you

968
00:50:44,040 --> 00:50:48,600
Speaker 1: criticize me, you are intentionally causing people to bully and

969
00:50:48,719 --> 00:50:51,920
Speaker 1: harass me. And that is, you know, out of if

970
00:50:51,920 --> 00:50:53,919
Speaker 1: you say my name, she has said that you say

971
00:50:53,920 --> 00:50:57,279
Speaker 1: her full name, that that is out of bounds. How

972
00:50:57,320 --> 00:50:59,640
Speaker 1: can you then turn around and write a story like

973
00:50:59,680 --> 00:51:02,680
Speaker 1: this and not apply that same principle of aren't you

974
00:51:02,760 --> 00:51:06,640
Speaker 1: inciting harassment against this person? Now? I think this story

975
00:51:06,719 --> 00:51:09,200
Speaker 1: is a little bit complicated because I think this person

976
00:51:09,239 --> 00:51:11,680
Speaker 1: really walks the line of whether or not they should

977
00:51:11,760 --> 00:51:14,719
Speaker 1: count as a public figure. Right she would very much say,

978
00:51:14,719 --> 00:51:17,040
Speaker 1: I'm just a private citizen doing my thing. But to

979
00:51:17,120 --> 00:51:20,480
Speaker 1: your point, number one, the account is very influential, and

980
00:51:20,600 --> 00:51:24,920
Speaker 1: number two, she has done, you know, public interviews. I

981
00:51:25,000 --> 00:51:27,120
Speaker 1: think she was on with Tucker Carlson, and she's been

982
00:51:27,200 --> 00:51:30,120
Speaker 1: on other podcasts and things like that as well. So

983
00:51:30,960 --> 00:51:33,640
Speaker 1: it's there's a very blurry line here as to whether

984
00:51:33,800 --> 00:51:36,279
Speaker 1: or not this individual should be viewed in the light

985
00:51:36,360 --> 00:51:39,120
Speaker 1: of just a private citizen doing their thing or a

986
00:51:39,160 --> 00:51:43,000
Speaker 1: public figure. However, there is no there is zero doubt

987
00:51:43,000 --> 00:51:45,840
Speaker 1: that Taylor Lorens as a public figure who has chosen

988
00:51:45,920 --> 00:51:48,799
Speaker 1: a career working at you know, some of the most

989
00:51:48,840 --> 00:51:52,400
Speaker 1: prestigious and well known journalistic outlets in the entire country.

990
00:51:52,760 --> 00:51:55,480
Speaker 1: So there's you know, they're not on a par here,

991
00:51:55,560 --> 00:51:57,920
Speaker 1: is what I'm trying to say. I think that this

992
00:51:58,000 --> 00:52:04,920
Speaker 1: comes back to they're basically jealous that and I relate

993
00:52:04,960 --> 00:52:07,640
Speaker 1: to this that the right wing is so good at

994
00:52:07,640 --> 00:52:10,560
Speaker 1: the culture war that they're able to conjure out of

995
00:52:10,719 --> 00:52:14,879
Speaker 1: thin air this language about you know, critical race theory

996
00:52:14,920 --> 00:52:17,880
Speaker 1: and like inserted into mainstream conversation, make it a campaign

997
00:52:17,920 --> 00:52:21,279
Speaker 1: issue just like that out of nothing. Sure, right and

998
00:52:22,080 --> 00:52:27,000
Speaker 1: the left and liberals in particular are just not good

999
00:52:27,040 --> 00:52:30,120
Speaker 1: at doing that, And so I think there's a frustration

1000
00:52:30,719 --> 00:52:33,600
Speaker 1: with how successful all of this has been. And again

1001
00:52:33,719 --> 00:52:36,799
Speaker 1: I share that frustration because I think, you know, I

1002
00:52:36,840 --> 00:52:39,319
Speaker 1: was just reading in Florida they banned like forty two

1003
00:52:39,520 --> 00:52:42,880
Speaker 1: math textbooks that just talked about had nothing offensive in

1004
00:52:42,920 --> 00:52:45,319
Speaker 1: them whatsoever. I mean, the stuff has gone completely over

1005
00:52:45,320 --> 00:52:48,120
Speaker 1: the top. The law is about you can't make anyone

1006
00:52:48,160 --> 00:52:51,920
Speaker 1: uncomfortable when you're teaching history. I think that's all completely ridiculous,

1007
00:52:51,960 --> 00:52:54,200
Speaker 1: and I think it is censorship that is a problem

1008
00:52:54,400 --> 00:52:57,160
Speaker 1: that nobody who cares about like free speech and having

1009
00:52:57,239 --> 00:53:03,080
Speaker 1: open and honest discussions should support. But the real problem

1010
00:53:03,160 --> 00:53:05,520
Speaker 1: here is that they're just sort of jealous that the

1011
00:53:05,600 --> 00:53:07,959
Speaker 1: right has been so good at this and that they're

1012
00:53:08,040 --> 00:53:12,320
Speaker 1: unable to do it themselves. So rather than directly going

1013
00:53:12,360 --> 00:53:15,960
Speaker 1: after the arguments, rather than offering their own effective counter narrative,

1014
00:53:16,520 --> 00:53:19,960
Speaker 1: the strategy is instead, let's, you know, let's destroy this

1015
00:53:20,160 --> 00:53:23,720
Speaker 1: personal has destroyed this account. Let's somehow tar Joe Rogan

1016
00:53:23,840 --> 00:53:26,760
Speaker 1: is part of this program because he's you know, they've

1017
00:53:26,760 --> 00:53:29,799
Speaker 1: made him into his own sort of like cultural signifier

1018
00:53:29,960 --> 00:53:33,480
Speaker 1: culture war issue, and that's the direction they go in.

1019
00:53:33,560 --> 00:53:35,520
Speaker 1: But listen, I think the big thing here is just

1020
00:53:35,640 --> 00:53:38,600
Speaker 1: the kind of hypocrisy to be someone who on the

1021
00:53:38,600 --> 00:53:42,040
Speaker 1: one hand, cries about being a victim of harassment if

1022
00:53:42,040 --> 00:53:44,359
Speaker 1: you dare talk about them a criticize them, and on

1023
00:53:44,400 --> 00:53:47,000
Speaker 1: the other hand, going out of your way to you know,

1024
00:53:47,440 --> 00:53:49,640
Speaker 1: reveal the identity of someone who clearly wants to be

1025
00:53:50,200 --> 00:53:53,320
Speaker 1: remain anonymous, and of course you know there's going to

1026
00:53:53,360 --> 00:53:55,759
Speaker 1: be harassment of this person. I think your pointing you're

1027
00:53:55,800 --> 00:53:58,440
Speaker 1: making is very important, which is that, look, if this

1028
00:53:58,520 --> 00:54:03,879
Speaker 1: person lives a TikTok was spreading falsely editing videos and

1029
00:54:03,920 --> 00:54:08,960
Speaker 1: then posting them or posting fake videos, then that's a

1030
00:54:08,960 --> 00:54:11,879
Speaker 1: whole other discussion. But guess there's not single thing that's

1031
00:54:11,880 --> 00:54:14,799
Speaker 1: in this article, Nothing false has ever been posted. And

1032
00:54:15,000 --> 00:54:17,239
Speaker 1: I think that one of the reasons the account is

1033
00:54:17,280 --> 00:54:19,640
Speaker 1: so powerful, it's because it simply just clips, you know,

1034
00:54:19,920 --> 00:54:21,880
Speaker 1: what these people are saying, and then plays it for you,

1035
00:54:21,920 --> 00:54:23,359
Speaker 1: and you're like, oh my god, I can't even believe

1036
00:54:23,360 --> 00:54:25,239
Speaker 1: this is real. I can't believe this person exists. And

1037
00:54:25,560 --> 00:54:28,200
Speaker 1: that is why I think it has been so successful.

1038
00:54:28,520 --> 00:54:31,400
Speaker 1: So when you look at it, there's no critique as

1039
00:54:31,440 --> 00:54:34,920
Speaker 1: to or engagement really with why does the account resonate

1040
00:54:35,160 --> 00:54:36,960
Speaker 1: in the first place. What are the some of the

1041
00:54:37,000 --> 00:54:39,760
Speaker 1: stuff that they are posting, which is doing very well?

1042
00:54:40,000 --> 00:54:43,640
Speaker 1: What if you can find evidence of her posting something fake,

1043
00:54:44,000 --> 00:54:46,960
Speaker 1: be my guest, to my knowledge, that has not yet happened.

1044
00:54:47,000 --> 00:54:49,879
Speaker 1: So when you look at what this is and why

1045
00:54:49,920 --> 00:54:53,279
Speaker 1: it's resonating, why exactly people feel fed up? I mean,

1046
00:54:53,320 --> 00:54:54,880
Speaker 1: I would dispute that it came out of nothing. I

1047
00:54:54,880 --> 00:54:56,920
Speaker 1: mean I think it was there's a very real organic

1048
00:54:56,960 --> 00:54:59,080
Speaker 1: movement behind a lot of the things that libs of

1049
00:54:59,080 --> 00:55:03,120
Speaker 1: TikTok highlights, and that she basically focused it posted to

1050
00:55:03,160 --> 00:55:05,879
Speaker 1: the most extreme examples and made people aware of how

1051
00:55:05,960 --> 00:55:09,920
Speaker 1: insane some of this stuff actually is. So anyway, the story,

1052
00:55:10,080 --> 00:55:14,120
Speaker 1: in my opinion is this account really has come from

1053
00:55:14,880 --> 00:55:17,719
Speaker 1: like you said nothing as he literally didn't exist and

1054
00:55:17,760 --> 00:55:19,440
Speaker 1: then became one of the most prominent accounts in the

1055
00:55:19,560 --> 00:55:23,200
Speaker 1: United States. That's crazy. I think it's a cool story actually,

1056
00:55:23,320 --> 00:55:24,719
Speaker 1: And you know, if it was a liberal account, it

1057
00:55:24,719 --> 00:55:26,960
Speaker 1: would get like hay geographic treatment of like, oh my god,

1058
00:55:26,960 --> 00:55:29,400
Speaker 1: how this account is changed in the world, and you know,

1059
00:55:29,480 --> 00:55:32,239
Speaker 1: like that's true, Like this one right is, oh we

1060
00:55:32,280 --> 00:55:35,319
Speaker 1: got a doctor she's anti trans you know, they throw

1061
00:55:35,360 --> 00:55:37,719
Speaker 1: all the worst labels. Yeah, well, and I also want

1062
00:55:37,760 --> 00:55:40,400
Speaker 1: to be clear, like the account most of what it

1063
00:55:40,440 --> 00:55:43,880
Speaker 1: does is like repost what the cringiest libs say on

1064
00:55:44,239 --> 00:55:46,279
Speaker 1: doc R. That's like, that's what it is. It's like,

1065
00:55:46,560 --> 00:55:51,440
Speaker 1: and so that's another thing that like, personally, I don't

1066
00:55:51,800 --> 00:55:53,440
Speaker 1: I don't like this content when it comes to the

1067
00:55:53,480 --> 00:55:55,400
Speaker 1: left or the right of just picking out like the

1068
00:55:55,440 --> 00:55:58,600
Speaker 1: most ridiculous person and trying like this is something we

1069
00:55:58,640 --> 00:56:01,560
Speaker 1: really avoid doing on this show. You'll never see us

1070
00:56:01,600 --> 00:56:06,400
Speaker 1: doing the like care melts down over whatever. Like I

1071
00:56:06,440 --> 00:56:10,240
Speaker 1: don't like that direction of politics, using anecdotes to smear

1072
00:56:10,280 --> 00:56:13,719
Speaker 1: an entire group of people. But that's not to say

1073
00:56:14,080 --> 00:56:17,439
Speaker 1: I mean that is done commonly online. It's like we're

1074
00:56:17,640 --> 00:56:20,080
Speaker 1: unusual in the fact that we need crime. Don't go

1075
00:56:20,120 --> 00:56:23,440
Speaker 1: in that direction. It's it's not a crime. And most

1076
00:56:23,440 --> 00:56:25,080
Speaker 1: of what the account does, like I said, is like

1077
00:56:25,160 --> 00:56:28,319
Speaker 1: repost the cringiest lib content on TikTok that you could

1078
00:56:28,320 --> 00:56:31,640
Speaker 1: possibly find, and also add, like she does, add some

1079
00:56:31,719 --> 00:56:36,239
Speaker 1: like commentary to it. So I just accurately represent what

1080
00:56:36,320 --> 00:56:38,759
Speaker 1: the account is. So it's not like she's just reposting.

1081
00:56:38,800 --> 00:56:43,040
Speaker 1: She also is adding her commentary. That's not a crime.

1082
00:56:43,600 --> 00:56:49,560
Speaker 1: And in a democracy, you have to accept that there's

1083
00:56:49,600 --> 00:56:52,479
Speaker 1: gonna be however you feel about the issues that she's

1084
00:56:52,560 --> 00:56:55,960
Speaker 1: mostly focused on. You have to accept that there's going

1085
00:56:56,040 --> 00:56:59,719
Speaker 1: to be information out there that you don't like that

1086
00:57:00,160 --> 00:57:04,200
Speaker 1: may even be offensive, that there are people who hold

1087
00:57:04,320 --> 00:57:07,880
Speaker 1: views that you don't like that may even be offensive.

1088
00:57:08,480 --> 00:57:13,840
Speaker 1: And so the instinct to instead of engaging with offering

1089
00:57:13,920 --> 00:57:17,920
Speaker 1: more compelling argument, offering a more compelling vision, having your

1090
00:57:17,920 --> 00:57:20,880
Speaker 1: own version of libs of TikTok or whatever that is

1091
00:57:20,920 --> 00:57:25,040
Speaker 1: as effective, the instinct to instead use the power that

1092
00:57:25,760 --> 00:57:28,880
Speaker 1: liberal mainstream outlets have to try to shut these things down.

1093
00:57:29,440 --> 00:57:32,280
Speaker 1: I think that's a bad direction for democracy. And I

1094
00:57:32,320 --> 00:57:35,400
Speaker 1: also think that it doesn't work. Like I don't think

1095
00:57:35,400 --> 00:57:37,520
Speaker 1: it's going to be successful. I think probably Libs of

1096
00:57:37,520 --> 00:57:39,520
Speaker 1: TikTok is now going to be bigger than ever. So

1097
00:57:39,680 --> 00:57:42,320
Speaker 1: congratulations absolutely will be. And you know, in the terms

1098
00:57:42,320 --> 00:57:44,320
Speaker 1: of the email, look at the text in which Taylor

1099
00:57:44,400 --> 00:57:47,000
Speaker 1: talks about her little piece on libs of TikTok. Put

1100
00:57:47,040 --> 00:57:50,800
Speaker 1: us up there on the screen. She says on deadline, Hi, Christina,

1101
00:57:50,880 --> 00:57:52,880
Speaker 1: I'm a tech report at the Washington Post. We are

1102
00:57:52,960 --> 00:57:56,200
Speaker 1: running a story exposing the woman behind libs of TikTok,

1103
00:57:56,400 --> 00:58:00,680
Speaker 1: not featuring profiling. None of that uses the word exposed

1104
00:58:00,800 --> 00:58:04,160
Speaker 1: directly in an email to a source. Also, I love this.

1105
00:58:04,240 --> 00:58:06,400
Speaker 1: If you'd like to comment, please let me know within

1106
00:58:06,440 --> 00:58:08,800
Speaker 1: the next hour. Let me tell you something. Giving somebody

1107
00:58:08,840 --> 00:58:11,800
Speaker 1: only an hour to comment is a BS move, which

1108
00:58:11,840 --> 00:58:15,280
Speaker 1: is made specifically in order to make sure that they

1109
00:58:15,280 --> 00:58:17,840
Speaker 1: don't actually have time in order to formulate a real response,

1110
00:58:18,040 --> 00:58:19,919
Speaker 1: and is done so that you can say you reached

1111
00:58:19,920 --> 00:58:22,760
Speaker 1: out for comment but didn't. And of course Taylor is saying,

1112
00:58:22,920 --> 00:58:26,080
Speaker 1: I'm just doing standard journalistic practice, and you know what, Unfortunately,

1113
00:58:26,120 --> 00:58:28,800
Speaker 1: you're right that probably is standard journalistic practice, but it

1114
00:58:28,880 --> 00:58:31,560
Speaker 1: shouldn't be, and it just shows you that she doesn't

1115
00:58:31,600 --> 00:58:34,560
Speaker 1: abide by her own rules. And like you said, look,

1116
00:58:34,760 --> 00:58:36,720
Speaker 1: if you want, if you want to defend some of

1117
00:58:36,720 --> 00:58:39,080
Speaker 1: the things that lives of TikTok or counter it, be

1118
00:58:39,240 --> 00:58:42,520
Speaker 1: my guest. Please, I welcome you to try and do it.

1119
00:58:42,720 --> 00:58:46,280
Speaker 1: But you know, attacking her and trying to docks her age,

1120
00:58:46,280 --> 00:58:48,040
Speaker 1: she's gonna be bigger than ever. Now we're talking about it.

1121
00:58:48,040 --> 00:58:50,600
Speaker 1: I don't think we've ever mentioned litter of TikTok before. No, actually,

1122
00:58:51,080 --> 00:58:53,000
Speaker 1: to my knowledge, we have it. You know, why stay

1123
00:58:53,040 --> 00:58:55,040
Speaker 1: away from a lot of the culture war nonsense. Yeah,

1124
00:58:55,120 --> 00:58:58,840
Speaker 1: that being said, now you know I'm saying I'm reviewing

1125
00:58:58,840 --> 00:59:00,760
Speaker 1: obviously how I think about her, but also I have

1126
00:59:00,800 --> 00:59:03,800
Speaker 1: to defend the account, and I have to stand up

1127
00:59:03,960 --> 00:59:07,120
Speaker 1: for the ability for people to anonymously post what other

1128
00:59:07,160 --> 00:59:10,160
Speaker 1: people are doing in America in the year twenty twenty two.

1129
00:59:10,200 --> 00:59:12,640
Speaker 1: So I hope you's That's the other part that I

1130
00:59:12,640 --> 00:59:16,120
Speaker 1: think it's worth asking yourself, is what was the news

1131
00:59:16,360 --> 00:59:21,120
Speaker 1: value of revealing this person's name, right so to do

1132
00:59:21,160 --> 00:59:23,960
Speaker 1: a story about it, to talk about how even how

1133
00:59:23,960 --> 00:59:26,440
Speaker 1: it came to be. That's in just you know previous

1134
00:59:26,480 --> 00:59:29,880
Speaker 1: political affiliations, how it grew into something that is really

1135
00:59:29,920 --> 00:59:32,640
Speaker 1: significant and is helping to set a sort of right

1136
00:59:32,640 --> 00:59:34,840
Speaker 1: wing agenda. Is getting picked up by Fox News on

1137
00:59:34,840 --> 00:59:38,720
Speaker 1: an almost daily basis. Yeah, I think that's newsworthy. I

1138
00:59:38,760 --> 00:59:42,600
Speaker 1: don't know what news were, like, what does it add

1139
00:59:42,640 --> 00:59:47,440
Speaker 1: to that story to actually expose this person's name and

1140
00:59:47,520 --> 00:59:50,280
Speaker 1: their profession and their real estate license and all of that.

1141
00:59:50,280 --> 00:59:53,120
Speaker 1: That just seems I just don't see how that adds

1142
00:59:53,160 --> 00:59:55,720
Speaker 1: anything to the conversation that's useful to an understanding of

1143
00:59:55,720 --> 01:00:00,800
Speaker 1: the phenomenon that's going on here. Absolutely right, All right, Zager,

1144
01:00:00,840 --> 01:00:02,880
Speaker 1: what are you looking at? Well, if you're too online,

1145
01:00:02,920 --> 01:00:04,960
Speaker 1: you're already familiar with what I'm about to describe. But

1146
01:00:05,040 --> 01:00:07,240
Speaker 1: if you're not, buckle up, folks, because it's one of

1147
01:00:07,280 --> 01:00:10,680
Speaker 1: my new found but incredible pet people. The culture warification

1148
01:00:10,880 --> 01:00:14,240
Speaker 1: of basic health. Since myself getting into fitness and nutrition

1149
01:00:14,320 --> 01:00:16,960
Speaker 1: signs this year, I have been mystified by just how

1150
01:00:17,040 --> 01:00:19,760
Speaker 1: much health decisions and what you eat and what you

1151
01:00:19,880 --> 01:00:23,160
Speaker 1: do is politicized. Started, of course, and most of you

1152
01:00:23,240 --> 01:00:26,760
Speaker 1: saw with MSNBC's now infamous op ed how fitness is

1153
01:00:26,840 --> 01:00:29,800
Speaker 1: far right and fascist. But we've gone even deeper down

1154
01:00:29,840 --> 01:00:32,600
Speaker 1: the rabbit hole. It went into overdrive over the weekend

1155
01:00:32,680 --> 01:00:35,640
Speaker 1: when a promo for Tucker Carlson's new special on declining

1156
01:00:35,640 --> 01:00:39,640
Speaker 1: testosterone level amongst males went viral. It admittedly is kind

1157
01:00:39,640 --> 01:00:42,200
Speaker 1: of hilarious. Left Watch. One of the biggest stories of

1158
01:00:42,240 --> 01:00:44,440
Speaker 1: our lifetimes is the total collapse in testustone levels in

1159
01:00:44,440 --> 01:00:46,760
Speaker 1: American men. Those levels are declining by roughly ten percent

1160
01:00:46,760 --> 01:00:49,200
Speaker 1: per decade, completely changing the way people are at the

1161
01:00:49,240 --> 01:00:51,000
Speaker 1: most fundamental level. And they it's just nothing interested in

1162
01:00:51,000 --> 01:00:52,640
Speaker 1: this at all. It's not a big do. We think

1163
01:00:52,640 --> 01:00:53,720
Speaker 1: it is a huge deal. So we want to know

1164
01:00:53,720 --> 01:00:55,280
Speaker 1: what's causing it and what you can do about it.

1165
01:00:55,360 --> 01:00:57,440
Speaker 1: That's the topic of our upcoming documentary called The End

1166
01:00:57,480 --> 01:01:00,720
Speaker 1: of Men. Here's a look at the trailer. This opportunity

1167
01:01:01,120 --> 01:01:03,680
Speaker 1: to speak to the people of America. I' about a

1168
01:01:03,680 --> 01:01:05,760
Speaker 1: subject which I believe to be most important, and that

1169
01:01:05,840 --> 01:01:14,360
Speaker 1: is the subject physical gayness. A country is as strong

1170
01:01:14,400 --> 01:01:15,840
Speaker 1: really as a citizens. I mean, I think that mental

1171
01:01:15,880 --> 01:01:19,880
Speaker 1: and physical health go hand in hand. There is nothing

1172
01:01:20,200 --> 01:01:23,000
Speaker 1: I think more unfortunate than to have a soft, chubby,

1173
01:01:23,000 --> 01:01:25,120
Speaker 1: fathulking children. I hope that all of you will join

1174
01:01:25,160 --> 01:01:26,720
Speaker 1: and everybody in the United States, to make sure that

1175
01:01:26,760 --> 01:01:29,560
Speaker 1: our children participate fully can a vigorous and adventurous life,

1176
01:01:29,600 --> 01:01:31,320
Speaker 1: which is possible for them in this very rich country.

1177
01:01:31,320 --> 01:01:36,560
Speaker 1: About there's been a fifty percent in swimcouns in the

1178
01:01:36,600 --> 01:01:39,040
Speaker 1: last forty years along with the precipitous client it's cost

1179
01:01:39,080 --> 01:01:41,280
Speaker 1: phone production. We're head for a planet. And that's not

1180
01:01:41,360 --> 01:01:44,320
Speaker 1: hyperb believe, it's not exaggeration. It's just the mathem of puckers. Fact.

1181
01:01:46,680 --> 01:01:49,400
Speaker 1: Would you recommend young mans you can or balls to

1182
01:01:49,520 --> 01:02:03,520
Speaker 1: what bunch of society collapses? Then you're in a hot

1183
01:02:03,560 --> 01:02:06,400
Speaker 1: time as well, hot ion shopen's iron, as they say,

1184
01:02:06,480 --> 01:02:09,640
Speaker 1: And therese hot times inevitably produce men who are tough, men,

1185
01:02:09,680 --> 01:02:12,200
Speaker 1: who are resourceful, men who are strong enough to survive,

1186
01:02:12,960 --> 01:02:14,840
Speaker 1: and then they go on to reestablage older and so

1187
01:02:14,920 --> 01:02:26,120
Speaker 1: the cycle begins again. Okay, let all over the top, maybe,

1188
01:02:26,320 --> 01:02:28,440
Speaker 1: but something makes me think that the people freaking out

1189
01:02:28,440 --> 01:02:30,680
Speaker 1: about this are protesting just a little bit too much.

1190
01:02:30,920 --> 01:02:34,840
Speaker 1: Here's a sampling. Adam Kissinger of neo Khon warmongering fame said, quote,

1191
01:02:34,880 --> 01:02:37,760
Speaker 1: this is actually real. Evidently he likes men without shirts,

1192
01:02:37,880 --> 01:02:41,200
Speaker 1: which may explain the Putin obsession. I guess calling him

1193
01:02:41,240 --> 01:02:44,000
Speaker 1: gay in a russophile. In the same tweet, others begged

1194
01:02:44,080 --> 01:02:47,200
Speaker 1: Tucker to pray his gay or made some version of

1195
01:02:47,240 --> 01:02:50,240
Speaker 1: a Florida joke. I will admit some of we're kind

1196
01:02:50,240 --> 01:02:53,120
Speaker 1: of phone, but at a deeper level it did disturb

1197
01:02:53,200 --> 01:02:56,520
Speaker 1: me because it's clear message here. Caring about testosterone and

1198
01:02:56,560 --> 01:02:59,280
Speaker 1: featuring people who use proven therapies to increase it, and

1199
01:02:59,320 --> 01:03:02,120
Speaker 1: in general, talking or thinking about male hormone health is

1200
01:03:02,160 --> 01:03:05,280
Speaker 1: apparently anathema to a lot of the liberal intelligentsia, who

1201
01:03:05,320 --> 01:03:07,320
Speaker 1: will either mock you as a gay or less of

1202
01:03:07,320 --> 01:03:10,120
Speaker 1: a man for doing so. It's actually quite homophobic when

1203
01:03:10,160 --> 01:03:12,320
Speaker 1: you think about it, and look, I get it. Tucker

1204
01:03:12,440 --> 01:03:14,800
Speaker 1: is a cultural lightning rod, but what he's featuring there

1205
01:03:14,920 --> 01:03:18,280
Speaker 1: is a very real and actually terrifying phenomenon. Declining levels

1206
01:03:18,280 --> 01:03:22,600
Speaker 1: of testosterone are having macrosociological consequences on our entire society.

1207
01:03:22,800 --> 01:03:25,360
Speaker 1: In fact, even back in two thousand and seven, it

1208
01:03:25,400 --> 01:03:28,320
Speaker 1: was apparent that US male testosterone levels have been dropping

1209
01:03:28,360 --> 01:03:31,520
Speaker 1: by one percent per year since the nineteen eighties. In

1210
01:03:31,560 --> 01:03:34,200
Speaker 1: a more stark term, at the time, a sixty year

1211
01:03:34,240 --> 01:03:37,200
Speaker 1: old man in two thousand and four had approximately eighty

1212
01:03:37,240 --> 01:03:39,959
Speaker 1: three percent of the same testosterone levels that a sixty

1213
01:03:40,040 --> 01:03:42,640
Speaker 1: year old man in nineteen eighty seven had. Now you

1214
01:03:42,680 --> 01:03:46,280
Speaker 1: may say, okay, so what why should I care? Well?

1215
01:03:46,360 --> 01:03:50,520
Speaker 1: At a basic human level is this Hormones basically affect everything,

1216
01:03:50,720 --> 01:03:53,600
Speaker 1: your mental state, your weight, how you feel today, how

1217
01:03:53,640 --> 01:03:56,800
Speaker 1: you will you sleep, recovery. You will all understand this

1218
01:03:56,920 --> 01:03:59,520
Speaker 1: if you have an endochronology problem, but we almost never

1219
01:03:59,520 --> 01:04:03,360
Speaker 1: talk about it for everybody else. At the basic levels, testosterone,

1220
01:04:03,360 --> 01:04:06,880
Speaker 1: in the words of doctor Andrew Huberman, makes effort feel good,

1221
01:04:07,200 --> 01:04:10,120
Speaker 1: especially within males, though of course women have nacent levels

1222
01:04:10,120 --> 01:04:13,280
Speaker 1: of testosterone too. It is linked intrinsically with the drive

1223
01:04:13,320 --> 01:04:16,000
Speaker 1: to accomplish, and that drive, of course, is what propels

1224
01:04:16,120 --> 01:04:19,960
Speaker 1: in entire civilization. At a health level, low testosterone levels

1225
01:04:19,960 --> 01:04:22,680
Speaker 1: are really dangerous. It makes it harder to build muscle,

1226
01:04:22,880 --> 01:04:25,720
Speaker 1: at least to more cases of osteoporosis. It's linked to

1227
01:04:25,720 --> 01:04:29,560
Speaker 1: heart attacks, depression, decreased energy levels, and fatigue. When you

1228
01:04:29,600 --> 01:04:32,800
Speaker 1: really think about it at a society wide level, it's catastrophic.

1229
01:04:32,960 --> 01:04:35,520
Speaker 1: We're talking here about a vital hormone to nearly fifty

1230
01:04:35,560 --> 01:04:38,560
Speaker 1: percent of every American. Now, there are a variety of

1231
01:04:38,600 --> 01:04:42,400
Speaker 1: reasons that testosterone is declining. Online people like to talk

1232
01:04:42,400 --> 01:04:45,240
Speaker 1: about plastics and seed oils and other things. All of

1233
01:04:45,240 --> 01:04:48,520
Speaker 1: them are absolutely responsible for population wide drops for sure,

1234
01:04:48,680 --> 01:04:50,960
Speaker 1: But in my view and my discussion with the experts,

1235
01:04:51,120 --> 01:04:54,400
Speaker 1: its obesity and bad lifestyle that are the worst culprits.

1236
01:04:54,520 --> 01:04:58,320
Speaker 1: The latter two obviously are intrinsically linked. If you are obese,

1237
01:04:58,440 --> 01:05:00,800
Speaker 1: you are far more likely to have low tests oscero levels.

1238
01:05:00,920 --> 01:05:02,520
Speaker 1: It means you are more likely not to engage in

1239
01:05:02,520 --> 01:05:08,240
Speaker 1: physical behaviors which stimulate testosterone production. Obviously, obesity is multi causal,

1240
01:05:08,440 --> 01:05:11,240
Speaker 1: but obesity itself is deeply linked to the current crisis

1241
01:05:11,240 --> 01:05:14,440
Speaker 1: in testosterone. The other problem is sleep and alcohol use.

1242
01:05:14,640 --> 01:05:18,760
Speaker 1: Bad sleep dramatically lower testosterone, especially in healthy young men.

1243
01:05:18,840 --> 01:05:21,200
Speaker 1: And of course, we live right now in a country

1244
01:05:21,320 --> 01:05:24,760
Speaker 1: where the majority of the youth population is chronically underslept

1245
01:05:24,920 --> 01:05:29,080
Speaker 1: by even the most generous recommended hours of sleep that

1246
01:05:29,080 --> 01:05:32,240
Speaker 1: one should get a night. Combine skyrocketing alcohol use with

1247
01:05:32,320 --> 01:05:35,479
Speaker 1: negatively effect sleep and testosterone, you have a very clear

1248
01:05:35,480 --> 01:05:40,000
Speaker 1: picture of what's going on here. Being feet fat, sleeping badly, drinking,

1249
01:05:40,040 --> 01:05:42,640
Speaker 1: and using too much weed while not being active is

1250
01:05:42,640 --> 01:05:45,520
Speaker 1: a recipe for disaster. The good news is at least,

1251
01:05:45,520 --> 01:05:48,360
Speaker 1: now you know if you manipulate even one of those factors,

1252
01:05:48,440 --> 01:05:50,440
Speaker 1: it is likely to help you. If you tackle all

1253
01:05:50,480 --> 01:05:52,280
Speaker 1: four and you have let's say even a fifty or

1254
01:05:52,280 --> 01:05:54,760
Speaker 1: twenty five percent reduction in some of those behaviors while

1255
01:05:54,760 --> 01:05:57,320
Speaker 1: you move your body more, in just a few months,

1256
01:05:57,360 --> 01:06:00,920
Speaker 1: you will feel like a completely different human being. Take

1257
01:06:01,000 --> 01:06:02,840
Speaker 1: it from me, I don't even recognize the person I

1258
01:06:02,920 --> 01:06:06,320
Speaker 1: was ten months ago, both mentally and physically. But of course,

1259
01:06:06,560 --> 01:06:09,320
Speaker 1: beyond the most important factors, there are other things you

1260
01:06:09,360 --> 01:06:12,120
Speaker 1: can do, which brings us back to this cultural war nonsense.

1261
01:06:12,400 --> 01:06:15,480
Speaker 1: Many men with testosterone in dangerous territory or who are

1262
01:06:15,480 --> 01:06:19,439
Speaker 1: aging opt for outright testosterone replacement therapy. Now, for those

1263
01:06:19,440 --> 01:06:21,640
Speaker 1: who do not fall in that territory but are still

1264
01:06:21,680 --> 01:06:24,440
Speaker 1: looking for the benefits of a testosterone boost, there are

1265
01:06:24,560 --> 01:06:27,480
Speaker 1: various herbs and supplements that you can take. I personally,

1266
01:06:27,600 --> 01:06:29,720
Speaker 1: I take one by Derek for more plates, more dates

1267
01:06:29,720 --> 01:06:31,720
Speaker 1: on YouTube channel. You can go check that out for

1268
01:06:31,760 --> 01:06:35,360
Speaker 1: yourself if you are interested. However, one of them, the

1269
01:06:35,440 --> 01:06:38,160
Speaker 1: last featured in the documentary is red light therapy, which

1270
01:06:38,160 --> 01:06:41,560
Speaker 1: has actually become very popular online recently. This too, was

1271
01:06:41,760 --> 01:06:47,400
Speaker 1: ridiculed on Twitter with quote testostical testicle tanning trending for

1272
01:06:47,480 --> 01:06:50,920
Speaker 1: the entire day. Wow, this real tongue twister. Once again,

1273
01:06:51,000 --> 01:06:52,920
Speaker 1: I am dismayed because not a single one of these

1274
01:06:52,920 --> 01:06:56,360
Speaker 1: people appears to know that guys, red light therapy actually

1275
01:06:56,400 --> 01:06:59,360
Speaker 1: works and is well rooted within science and as doctor

1276
01:06:59,400 --> 01:07:03,840
Speaker 1: Andrew Human Stanford University noted, quote, many people consider phototherapy

1277
01:07:03,960 --> 01:07:08,240
Speaker 1: modern new age biohacking, but Neils Fenson was actually awarded

1278
01:07:08,320 --> 01:07:12,560
Speaker 1: a Nobel Prize in nineteen o three for its exact discovery.

1279
01:07:12,920 --> 01:07:16,600
Speaker 1: Light is a powerful modulator of cellular function. I will

1280
01:07:16,680 --> 01:07:18,600
Speaker 1: let the good doctor explain to you how this all

1281
01:07:18,600 --> 01:07:21,240
Speaker 1: works on this podcast. It's far too complicated for me

1282
01:07:21,360 --> 01:07:23,680
Speaker 1: to try and summarize, but I can tell you personally,

1283
01:07:23,760 --> 01:07:25,960
Speaker 1: I just got a red light panel with them, which

1284
01:07:26,000 --> 01:07:30,280
Speaker 1: has a myriad of benefits, including, yes, for increasing your testosterone.

1285
01:07:30,560 --> 01:07:33,560
Speaker 1: Low testosterone levels are nothing to laugh about when you

1286
01:07:33,600 --> 01:07:36,360
Speaker 1: consider it in the context of declining sperm count, it

1287
01:07:36,400 --> 01:07:39,640
Speaker 1: is downright terrifying. What the consequences may be the current

1288
01:07:39,720 --> 01:07:44,000
Speaker 1: war to accept fatness, minimize the health effects of obesity,

1289
01:07:44,200 --> 01:07:46,920
Speaker 1: minimize the real costs of drug and alcohol use, and

1290
01:07:46,960 --> 01:07:50,400
Speaker 1: then mock discussion of testosterone. It's war on biology and

1291
01:07:50,440 --> 01:07:53,200
Speaker 1: on well being itself. Do not let the culture war

1292
01:07:53,280 --> 01:07:56,040
Speaker 1: have this one. Please just take care of yourselves. You

1293
01:07:56,080 --> 01:07:58,200
Speaker 1: should care about your hormone health so that you can

1294
01:07:58,240 --> 01:08:01,240
Speaker 1: live longer and spend more quality time with your spouse

1295
01:08:01,400 --> 01:08:03,760
Speaker 1: or your kids or your friends. And do not let

1296
01:08:03,760 --> 01:08:06,440
Speaker 1: people mock people for caring about it, no matter who

1297
01:08:06,480 --> 01:08:10,400
Speaker 1: that person is. So I know it's Praine, Crystal, I'm

1298
01:08:10,400 --> 01:08:12,400
Speaker 1: not gonna lie. You have to the top thing was

1299
01:08:12,440 --> 01:08:15,400
Speaker 1: weird well, and if you want to hear my reaction

1300
01:08:15,480 --> 01:08:19,160
Speaker 1: to Sager's monologue, become a premium subscriber today at Breakingpoints

1301
01:08:19,200 --> 01:08:24,360
Speaker 1: dot com. Crystal, what are you taking to look at? Well? Guys?

1302
01:08:24,360 --> 01:08:26,760
Speaker 1: Buried inside of a devastating pole for Biden was a

1303
01:08:26,800 --> 01:08:30,960
Speaker 1: particularly devastating and also revealing little nugget. Not only was

1304
01:08:30,960 --> 01:08:35,160
Speaker 1: Biden's approval rating at a rock bottom thirty three percent,

1305
01:08:35,680 --> 01:08:38,160
Speaker 1: but the youthful base of the Democratic Party has almost

1306
01:08:38,200 --> 01:08:42,880
Speaker 1: completely fled. A measly twenty one percent of voters under

1307
01:08:42,920 --> 01:08:45,479
Speaker 1: the age of thirty five say that they approve of

1308
01:08:45,520 --> 01:08:49,360
Speaker 1: Biden's performance in office, fifty eight percent disapprove, and twenty

1309
01:08:49,400 --> 01:08:52,439
Speaker 1: one percent say they're not sure. Now that twenty one

1310
01:08:52,479 --> 01:08:54,920
Speaker 1: percent approval rating was actually the lowest of every single

1311
01:08:54,960 --> 01:08:57,120
Speaker 1: age group, and it was actually the lowest of every

1312
01:08:57,320 --> 01:09:00,920
Speaker 1: type of demographic cohort that was tested except for one,

1313
01:09:01,360 --> 01:09:03,760
Speaker 1: and that would be non college educated voters. They gave

1314
01:09:03,760 --> 01:09:07,280
Speaker 1: Biden just a poultry twenty percent approval rating. Just to

1315
01:09:07,320 --> 01:09:10,360
Speaker 1: give you a comparison for how bad that performance is

1316
01:09:10,439 --> 01:09:14,519
Speaker 1: among voters under thirty five, Donald Trump, in the very

1317
01:09:14,560 --> 01:09:17,560
Speaker 1: same poll, at the very same point in his presidency,

1318
01:09:17,840 --> 01:09:21,639
Speaker 1: was able to get a comparatively somewhat better thirty one

1319
01:09:21,760 --> 01:09:24,920
Speaker 1: percent of young voters to say they approved of his performance.

1320
01:09:25,160 --> 01:09:27,479
Speaker 1: Fifty eight percent is approved, an eleven percent said that

1321
01:09:27,520 --> 01:09:29,519
Speaker 1: they did not know. So Biden is actually doing even

1322
01:09:29,600 --> 01:09:32,720
Speaker 1: worse with young voters than Trump did. Or if you

1323
01:09:32,760 --> 01:09:36,519
Speaker 1: want another comparison, here and his successful twenty twenty presidential campaign,

1324
01:09:36,600 --> 01:09:41,120
Speaker 1: President Biden won millennials and gen z by twenty points. Now,

1325
01:09:41,160 --> 01:09:43,479
Speaker 1: what's interesting is that in twenty twenty, the younger the

1326
01:09:43,560 --> 01:09:47,800
Speaker 1: voter was, the more support Biden garnered. This Quinnipiac pole

1327
01:09:47,880 --> 01:09:51,599
Speaker 1: has the exact opposite dynamic. The older the voter is,

1328
01:09:51,800 --> 01:09:54,640
Speaker 1: the more likely they are to approve of Biden. His

1329
01:09:54,720 --> 01:09:58,240
Speaker 1: strongest support is actually among voters sixty five and older.

1330
01:09:58,439 --> 01:10:01,400
Speaker 1: That's the only age cohort where he is above water,

1331
01:10:01,600 --> 01:10:05,360
Speaker 1: albeit narrowly. So what's going on here, guys, Well, it's

1332
01:10:05,360 --> 01:10:08,120
Speaker 1: honestly a perfect storm. You got a generation that's been

1333
01:10:08,160 --> 01:10:11,519
Speaker 1: completely screwed by our economic system, is disgusted with both

1334
01:10:11,560 --> 01:10:14,400
Speaker 1: parties at this point. You've got a democratic political class

1335
01:10:14,439 --> 01:10:17,920
Speaker 1: determined at every turn to show contempt towards young voters.

1336
01:10:18,280 --> 01:10:21,000
Speaker 1: And you've got a few obvious broken promises on some

1337
01:10:21,040 --> 01:10:23,800
Speaker 1: really key issues. Just take a look at this. Let's

1338
01:10:23,800 --> 01:10:27,519
Speaker 1: start with the last part. First broken promises. Biden ran

1339
01:10:27,640 --> 01:10:30,080
Speaker 1: on free community college. Not only has he not done that,

1340
01:10:30,360 --> 01:10:33,240
Speaker 1: but he refuses to do anything to cancel student debt,

1341
01:10:33,439 --> 01:10:36,240
Speaker 1: something he could easily accomplish with the stroke of a pen.

1342
01:10:36,600 --> 01:10:39,600
Speaker 1: Student debt is one of the key reasons why millennials

1343
01:10:39,640 --> 01:10:41,880
Speaker 1: and Gen Z are falling so far behind their parents'

1344
01:10:41,920 --> 01:10:44,000
Speaker 1: generations when it comes to things like buying homes and

1345
01:10:44,040 --> 01:10:47,720
Speaker 1: starting families. Fifty seven percent of Gen Z enrolled or

1346
01:10:47,760 --> 01:10:50,759
Speaker 1: two in two or four year colleges, So a solid

1347
01:10:50,800 --> 01:10:53,680
Speaker 1: majority of this new generation are going to college with

1348
01:10:53,760 --> 01:10:56,320
Speaker 1: all the debt burden that that entails. But that's really

1349
01:10:56,360 --> 01:10:59,439
Speaker 1: just the start. Literally eighty percent of young voter support

1350
01:10:59,520 --> 01:11:02,880
Speaker 1: legalizing marijuana. A majority of voters under thirty five actually

1351
01:11:02,920 --> 01:11:06,160
Speaker 1: say the decriminalizing marijuana should either be a top priority

1352
01:11:06,280 --> 01:11:10,200
Speaker 1: or an important priority. Biden he could deschedule marijuana tomorrow,

1353
01:11:10,200 --> 01:11:13,280
Speaker 1: but also flat out refuses to do that. Young voters

1354
01:11:13,320 --> 01:11:15,840
Speaker 1: are also more pro union than any other age group,

1355
01:11:15,920 --> 01:11:18,479
Speaker 1: something we covered in the show, something they're demonstrating in

1356
01:11:18,520 --> 01:11:21,280
Speaker 1: real time by leading a new resurgent labor movement which

1357
01:11:21,320 --> 01:11:24,880
Speaker 1: is upending the pro boss status quo. Biden promised to

1358
01:11:24,960 --> 01:11:27,280
Speaker 1: be the most pro union president in history, but won't

1359
01:11:27,360 --> 01:11:30,360
Speaker 1: use even the basic powers at his fingertips to block

1360
01:11:30,479 --> 01:11:34,360
Speaker 1: union busting companies like Amazon from receiving federal government contracts.

1361
01:11:34,640 --> 01:11:38,360
Speaker 1: The top priorities of young voters are jobs, climate, and healthcare.

1362
01:11:38,560 --> 01:11:40,320
Speaker 1: I don't need to tell you that Biden has failed

1363
01:11:40,320 --> 01:11:44,800
Speaker 1: to deliver significant changes on any of these three key areas. Now,

1364
01:11:44,800 --> 01:11:47,439
Speaker 1: this lack of action is combined with Democratic Party contempt

1365
01:11:47,479 --> 01:11:50,400
Speaker 1: for young voters, which ranges from thinly disguised to completely

1366
01:11:50,479 --> 01:11:53,800
Speaker 1: unmasked disgust. You might recall that during the book tour

1367
01:11:53,800 --> 01:11:57,000
Speaker 1: that led up to his presidential campaign, Biden himself kind

1368
01:11:57,000 --> 01:11:59,320
Speaker 1: of lets slip how he actually felt about young people,

1369
01:11:59,560 --> 01:12:02,559
Speaker 1: and so the younger generation now tells me how tough

1370
01:12:02,600 --> 01:12:06,400
Speaker 1: things are. Give me a break, No, no, I have

1371
01:12:06,520 --> 01:12:11,439
Speaker 1: no empathy, or give me a break, no empathy. While

1372
01:12:11,479 --> 01:12:14,360
Speaker 1: it certainly shows and how he's governed, doesn't it. Remember two,

1373
01:12:14,520 --> 01:12:17,160
Speaker 1: these are voters who overwhelmingly back Bernie Sanders in twenty

1374
01:12:17,200 --> 01:12:20,120
Speaker 1: sixteen and again in twenty twenty. In fact, Bernie in

1375
01:12:20,120 --> 01:12:23,439
Speaker 1: twenty sixteen he won more young voters than Hillary and

1376
01:12:23,479 --> 01:12:26,960
Speaker 1: Trump combined. It wasn't even close. They represent the most

1377
01:12:26,960 --> 01:12:30,080
Speaker 1: progressive generation in history, but the establishment of the party

1378
01:12:30,080 --> 01:12:32,519
Speaker 1: acts like the left. Candidates from Bernie to Nina turnity

1379
01:12:32,600 --> 01:12:35,360
Speaker 1: to be shamed, scolded, and crushed in every possible way

1380
01:12:35,360 --> 01:12:38,639
Speaker 1: that they can, from Pelosi deriding the youth driven Green

1381
01:12:38,680 --> 01:12:41,479
Speaker 1: New Deal as the Green Dream or whatever, to Biden

1382
01:12:41,560 --> 01:12:43,920
Speaker 1: saying he'd veto medicare for all if given the chance,

1383
01:12:44,120 --> 01:12:48,160
Speaker 1: to Obama constantly chastising voters for daring to expect anything

1384
01:12:48,200 --> 01:12:51,120
Speaker 1: significant from their elected leaders. It's not so much that

1385
01:12:51,160 --> 01:12:53,400
Speaker 1: young voters are leaving the party, as the party is

1386
01:12:53,400 --> 01:12:56,040
Speaker 1: pushing them out and locking the door. They're happy to

1387
01:12:56,080 --> 01:12:59,719
Speaker 1: have their votes, of course, but then they'll spend four years,

1388
01:12:59,720 --> 01:13:02,240
Speaker 1: all day, every day, shaming them for daring to want

1389
01:13:02,280 --> 01:13:04,760
Speaker 1: anything better than the hellish landscape that the boomers are

1390
01:13:04,760 --> 01:13:07,360
Speaker 1: handing them. In the twenty twenty primary, I was always

1391
01:13:07,360 --> 01:13:09,960
Speaker 1: struck by the generational divide and how Democratic voters were

1392
01:13:10,000 --> 01:13:13,680
Speaker 1: evaluating their choices. In every poll we looked at, young

1393
01:13:13,760 --> 01:13:16,320
Speaker 1: voters said they cared most about the issues, an older

1394
01:13:16,400 --> 01:13:19,080
Speaker 1: voters said they cared most about beating Trump. I think

1395
01:13:19,080 --> 01:13:21,639
Speaker 1: it's probably because for people who came of age during

1396
01:13:21,640 --> 01:13:24,519
Speaker 1: the Iraq War, the financial crash, or the pandemic, they

1397
01:13:24,560 --> 01:13:27,360
Speaker 1: had a pretty good idea that just beating Trump is

1398
01:13:27,479 --> 01:13:30,000
Speaker 1: really not going to cut it. They've seen enough with

1399
01:13:30,040 --> 01:13:32,160
Speaker 1: the collapse of the problems of the Obama years to

1400
01:13:32,240 --> 01:13:35,720
Speaker 1: realize that the Democratic Party has consistently failed them. It's

1401
01:13:35,760 --> 01:13:37,800
Speaker 1: not that young voters are going to turn to Republicans.

1402
01:13:37,840 --> 01:13:39,920
Speaker 1: That party is at odds with them on literally every

1403
01:13:39,960 --> 01:13:42,840
Speaker 1: issue and has perhaps even greater contempt for young Americans.

1404
01:13:43,120 --> 01:13:45,839
Speaker 1: But they might just stay home, or at a nightmare

1405
01:13:45,840 --> 01:13:48,400
Speaker 1: scenario for the Democratic Party, they might get pissed off

1406
01:13:48,479 --> 01:13:51,719
Speaker 1: enough to back their own candidate against Biden. Lord knows.

1407
01:13:51,840 --> 01:13:54,400
Speaker 1: With his approval ratings as low as they are, there's

1408
01:13:54,520 --> 01:13:56,920
Speaker 1: enough blood in the water for someone to mount a

1409
01:13:56,960 --> 01:14:00,000
Speaker 1: credible primary challenge. You can only spit in the face

1410
01:14:00,120 --> 01:14:03,000
Speaker 1: of these generations for so long before they figure out

1411
01:14:03,040 --> 01:14:05,639
Speaker 1: how to make you pay. I think this is one

1412
01:14:05,680 --> 01:14:09,040
Speaker 1: of the most underreported stories in American politics. How young

1413
01:14:09,160 --> 01:14:11,360
Speaker 1: voters and if you want to hear my reaction to

1414
01:14:11,520 --> 01:14:18,200
Speaker 1: Crystal's monologue, become a premium subscriber today at breakingpoints dot com.

1415
01:14:18,479 --> 01:14:20,880
Speaker 1: Join us now we have Seth Goldstein. He is a

1416
01:14:20,960 --> 01:14:24,360
Speaker 1: pro bono attorney for Amazon Labor Union. Great to have you, Seth.

1417
01:14:24,360 --> 01:14:26,400
Speaker 1: That nice to meet you too, by the way, nice measer,

1418
01:14:27,400 --> 01:14:31,320
Speaker 1: Thank you, so we wanted to get an update for you. Obviously,

1419
01:14:31,360 --> 01:14:34,839
Speaker 1: we've been covering here closely the historic win at JFK

1420
01:14:35,000 --> 01:14:39,080
Speaker 1: eight on Staten Island. But Amazon is not going quietly.

1421
01:14:39,240 --> 01:14:41,760
Speaker 1: Let's put this tweet up on the screen from Stephen Greenhouse.

1422
01:14:42,240 --> 01:14:44,479
Speaker 1: He says, the Amazon workers on Staten Island now face

1423
01:14:44,560 --> 01:14:47,519
Speaker 1: the challenge of getting a first contract. Amazon is already

1424
01:14:47,520 --> 01:14:50,960
Speaker 1: seeking to drag out things by filing twenty five objections

1425
01:14:51,000 --> 01:14:53,479
Speaker 1: to the election, but with the union winning by more

1426
01:14:53,520 --> 01:14:57,040
Speaker 1: than five hundred votes, the NLRB is unlikely to overturn

1427
01:14:57,360 --> 01:14:59,759
Speaker 1: the vote. So could you just bring us up to speed.

1428
01:15:00,200 --> 01:15:03,120
Speaker 1: What are some of the objections that Amazon is making hear?

1429
01:15:03,200 --> 01:15:05,760
Speaker 1: What are they arguing and do you think that there's

1430
01:15:05,800 --> 01:15:09,480
Speaker 1: a chance that they would succeed in overturning these election results.

1431
01:15:11,080 --> 01:15:14,760
Speaker 1: I don't think they have any chance to over you

1432
01:15:15,479 --> 01:15:21,160
Speaker 1: to overrule the election. These are the most ridiculous objections

1433
01:15:21,200 --> 01:15:23,960
Speaker 1: I've ever heard of. One of the objections is that

1434
01:15:23,960 --> 01:15:28,599
Speaker 1: they're upset that the workers disrupted the captive audience meetings,

1435
01:15:28,720 --> 01:15:33,479
Speaker 1: which the General Council has now found to be unlawful.

1436
01:15:33,800 --> 01:15:36,839
Speaker 1: They're upset that we filed so many unfair labor practice

1437
01:15:36,920 --> 01:15:42,559
Speaker 1: charges against Amazon, even though everyone or most of them

1438
01:15:42,560 --> 01:15:45,519
Speaker 1: have been found to have merit with the board. They

1439
01:15:45,520 --> 01:15:50,479
Speaker 1: are upset that the NLRB filed a tenj injunction for

1440
01:15:50,600 --> 01:15:55,040
Speaker 1: Joe Briceman, even though the administrative law judge found yesterday

1441
01:15:55,120 --> 01:15:59,560
Speaker 1: that Amazon had violated the labor laws and gave a

1442
01:15:59,640 --> 01:16:03,920
Speaker 1: scathe opinion against Amazon in that case. So we don't

1443
01:16:03,960 --> 01:16:09,080
Speaker 1: think that there's any basis to overrule these objections. That's good, Seth.

1444
01:16:09,160 --> 01:16:11,519
Speaker 1: Can you just tell us about the extraordinary kind of

1445
01:16:11,640 --> 01:16:14,439
Speaker 1: legal links that Amazon has gone to and twisted himself

1446
01:16:14,439 --> 01:16:19,120
Speaker 1: in order to go after you guys. Well, Amazon doesn't

1447
01:16:19,120 --> 01:16:22,639
Speaker 1: seem that like the laws apply to them, that they're

1448
01:16:22,680 --> 01:16:27,000
Speaker 1: somehow better than all of us, and that we have

1449
01:16:27,080 --> 01:16:30,040
Speaker 1: to abide by the laws. But they don't do it themselves.

1450
01:16:30,080 --> 01:16:35,439
Speaker 1: For example, they'll they'll make threats, they'll do surveillance, they

1451
01:16:37,960 --> 01:16:42,880
Speaker 1: they'll promised benefits. They really treat the Union election like

1452
01:16:42,960 --> 01:16:47,599
Speaker 1: it's a nineteen thirty al Capone Chicago election. At every

1453
01:16:47,760 --> 01:16:51,360
Speaker 1: opportunity they have, they cheat. And now they're even willing

1454
01:16:51,479 --> 01:16:57,720
Speaker 1: to follow the Trump model and object to the elections

1455
01:16:57,720 --> 01:17:01,120
Speaker 1: with the intent to throwing out the votes that they

1456
01:17:01,920 --> 01:17:04,559
Speaker 1: thought were so precious when they were giving their captive

1457
01:17:04,560 --> 01:17:07,320
Speaker 1: audience meetings because they didn't get the result that they wanted.

1458
01:17:08,160 --> 01:17:13,320
Speaker 1: It's not how we do things. We respect democracy, we're

1459
01:17:13,320 --> 01:17:15,839
Speaker 1: supposed to anyway, That's all. That's kind of the whole idea.

1460
01:17:17,160 --> 01:17:22,080
Speaker 1: Have they escalated their tactics since the successful Union election

1461
01:17:22,360 --> 01:17:24,600
Speaker 1: at JFK, and for people who don't know, there is

1462
01:17:24,720 --> 01:17:29,000
Speaker 1: another election set to happen next week at a facility,

1463
01:17:29,160 --> 01:17:31,680
Speaker 1: a sorting facility that's just across the street. So have

1464
01:17:31,800 --> 01:17:37,680
Speaker 1: you seen them escalating their tactics, including using illegal tactics? Absolutely?

1465
01:17:37,840 --> 01:17:42,760
Speaker 1: They've they're blocking the use of our banner. We have

1466
01:17:42,800 --> 01:17:45,720
Speaker 1: a banner that our members were holding up in the

1467
01:17:45,720 --> 01:17:51,559
Speaker 1: break room, and they've disciplined our employees about that. They

1468
01:17:51,600 --> 01:17:57,080
Speaker 1: have been harassing one of our lead organizers, Madeline Wesley,

1469
01:17:58,000 --> 01:18:02,400
Speaker 1: who has who was disciplined for talking about the union,

1470
01:18:03,320 --> 01:18:06,479
Speaker 1: and we actually have audio tape which shows that she

1471
01:18:08,760 --> 01:18:11,679
Speaker 1: was doing what everybody else does. Some people talk about sports,

1472
01:18:11,680 --> 01:18:15,680
Speaker 1: some people talk about going to them all, but apparently

1473
01:18:15,720 --> 01:18:18,080
Speaker 1: you can't talk about the election, which is a violation

1474
01:18:18,240 --> 01:18:22,120
Speaker 1: of labor law. Wow. So okay, Seth, can you walk

1475
01:18:22,200 --> 01:18:25,880
Speaker 1: us through here in terms of the future on these

1476
01:18:25,960 --> 01:18:29,800
Speaker 1: events and more the level of opposition that you're running

1477
01:18:29,840 --> 01:18:32,240
Speaker 1: up against, because, as you said, you're working pro bono,

1478
01:18:32,360 --> 01:18:34,360
Speaker 1: I mean, just give us an idea of the David

1479
01:18:34,360 --> 01:18:39,080
Speaker 1: Goliath nature of the story. Well, it's not just David

1480
01:18:39,120 --> 01:18:42,479
Speaker 1: and Goliath. It's Goliath and King Midas and unfortunately some

1481
01:18:42,520 --> 01:18:47,120
Speaker 1: elements of the Democratic Party. So we're basing we're basing

1482
01:18:47,200 --> 01:18:56,760
Speaker 1: all of that together. Where we've got this boutique democratic

1483
01:18:56,840 --> 01:19:01,360
Speaker 1: pulling firm called Global Strategy, which is working hand in

1484
01:19:01,439 --> 01:19:05,600
Speaker 1: hand with Amazon. Created a website that was unlawful. I

1485
01:19:05,600 --> 01:19:08,559
Speaker 1: forgot to say, that's another unfair labor practice charge that

1486
01:19:08,680 --> 01:19:16,080
Speaker 1: I filed. So we're up against the lot and still

1487
01:19:17,000 --> 01:19:22,280
Speaker 1: these workers have successfully been able to take on well

1488
01:19:22,439 --> 01:19:26,320
Speaker 1: some people had often called the white well, but you know,

1489
01:19:26,160 --> 01:19:29,640
Speaker 1: you know, we're not on the peak quad and you

1490
01:19:29,680 --> 01:19:32,439
Speaker 1: know ahab Is and our captains so things. You know,

1491
01:19:32,479 --> 01:19:36,160
Speaker 1: we're fighting back and I think we're successful. I'll let

1492
01:19:36,240 --> 01:19:39,920
Speaker 1: you tell the story. But my understanding is basically Chris

1493
01:19:40,000 --> 01:19:43,880
Speaker 1: Mall's tweeted out like anybody got a suggestion for a lawyer,

1494
01:19:44,479 --> 01:19:48,200
Speaker 1: and you volunteered. My understands you're the only person who said, hey,

1495
01:19:48,200 --> 01:19:51,240
Speaker 1: I'm here, I'll help you guys out. Why did you

1496
01:19:51,280 --> 01:19:54,400
Speaker 1: find their fight compelling? Did you think that they had

1497
01:19:54,400 --> 01:19:57,000
Speaker 1: a shot to actually pull this off from the beginning

1498
01:19:57,120 --> 01:19:58,920
Speaker 1: and just share a little bit of what that journey

1499
01:19:58,960 --> 01:20:03,200
Speaker 1: has looked like for you. Well, my friend and I

1500
01:20:03,320 --> 01:20:07,000
Speaker 1: previously were talking about what it would take to organize Amazon,

1501
01:20:07,080 --> 01:20:09,320
Speaker 1: and we felt that it had to be a grassroots

1502
01:20:09,400 --> 01:20:13,280
Speaker 1: movement because of the nature of Amazon. That's not to

1503
01:20:13,280 --> 01:20:17,080
Speaker 1: say that traditional unions would not be successful, but we

1504
01:20:17,120 --> 01:20:21,799
Speaker 1: thought the best chance after Belseamier was a grassroots movement

1505
01:20:21,960 --> 01:20:26,720
Speaker 1: based on Black Lives Matter values. And calling out for

1506
01:20:26,800 --> 01:20:29,719
Speaker 1: Amazon what it really is, which is a racist company.

1507
01:20:29,760 --> 01:20:34,080
Speaker 1: We were really stricken by the blatant racism that occurred

1508
01:20:34,120 --> 01:20:39,000
Speaker 1: after Chris was fired, and that you know, the General

1509
01:20:39,040 --> 01:20:42,519
Speaker 1: Council said that he wasn't smart or articulate, and we

1510
01:20:42,600 --> 01:20:46,400
Speaker 1: felt that based on that, we could really drive an election.

1511
01:20:46,720 --> 01:20:48,880
Speaker 1: So when the call came in, I wanted to take

1512
01:20:48,920 --> 01:20:52,800
Speaker 1: it immediately and I thought it would be an opportunity

1513
01:20:53,080 --> 01:20:58,960
Speaker 1: to reverse some of the trump boards outrageous labor decisions. Well,

1514
01:20:59,080 --> 01:21:03,559
Speaker 1: you all have succeed already beyond anyone's wildest expectations. I

1515
01:21:03,600 --> 01:21:06,360
Speaker 1: give you so much credit for being there from the

1516
01:21:06,360 --> 01:21:09,320
Speaker 1: beginning with these guys. You know, I think they continue

1517
01:21:09,360 --> 01:21:14,040
Speaker 1: to be wildly underestimated in their capabilities. And just ask

1518
01:21:14,080 --> 01:21:16,679
Speaker 1: you to keep you updated, keep us updated about everything

1519
01:21:16,760 --> 01:21:18,760
Speaker 1: that's going on. So thanks for joining us. Thank you,

1520
01:21:19,600 --> 01:21:22,760
Speaker 1: Thanks very much. Have a great day. Our pleasure you too.

1521
01:21:23,520 --> 01:21:25,559
Speaker 1: Thank you guys so much for watching. We really appreciate it.

1522
01:21:25,600 --> 01:21:27,640
Speaker 1: We just appreciate so much of your support. You know.

1523
01:21:27,720 --> 01:21:29,880
Speaker 1: It's it's funny like the way that we do this

1524
01:21:29,920 --> 01:21:32,160
Speaker 1: show and how much we care about programming it. You know,

1525
01:21:32,160 --> 01:21:33,840
Speaker 1: we get to the studio, we're like news is breaking,

1526
01:21:33,880 --> 01:21:36,320
Speaker 1: we gotta change every ding like do all of this.

1527
01:21:36,520 --> 01:21:39,240
Speaker 1: You are the only people who enable our ability to

1528
01:21:39,280 --> 01:21:40,960
Speaker 1: do that. It takes a lot of work, not just

1529
01:21:40,960 --> 01:21:43,320
Speaker 1: from us, but in order to fund the entire behind

1530
01:21:43,560 --> 01:21:46,439
Speaker 1: the scenes operations. So thank you for supporting us. We

1531
01:21:46,439 --> 01:21:48,760
Speaker 1: can keep a nimble and give you an operation and

1532
01:21:48,800 --> 01:21:51,760
Speaker 1: give you a better show literally only because we have

1533
01:21:51,920 --> 01:21:54,880
Speaker 1: you guys have our back, especially in some crazy censorious

1534
01:21:54,960 --> 01:21:57,400
Speaker 1: environment that we're living in right now. So thank you

1535
01:21:57,479 --> 01:22:00,200
Speaker 1: all so much. For the previous subscribers, lifetime members, we

1536
01:22:00,240 --> 01:22:02,479
Speaker 1: have those plaques. Reminder, we're not going to have a

1537
01:22:02,479 --> 01:22:05,640
Speaker 1: show on Thursday for a variety of reasons, but we

1538
01:22:05,680 --> 01:22:07,840
Speaker 1: will be back at it next week, and do not worry.

1539
01:22:07,880 --> 01:22:11,080
Speaker 1: We have tons of content which we'll be posting throughout

1540
01:22:11,080 --> 01:22:13,320
Speaker 1: the week, so you will not be without your breaking points.

1541
01:22:13,479 --> 01:22:16,599
Speaker 1: That's right. We've been working over time to make sure

1542
01:22:16,640 --> 01:22:18,559
Speaker 1: we had some content bank for you guys that'll go

1543
01:22:18,640 --> 01:22:20,240
Speaker 1: up even though we won't be doing a full show

1544
01:22:20,280 --> 01:22:22,240
Speaker 1: on Thursday. Do you think so? We have a couple

1545
01:22:22,280 --> 01:22:25,040
Speaker 1: of partners that we're going to be partner soon. Do

1546
01:22:25,040 --> 01:22:27,639
Speaker 1: you think we can let's just announce it? Okay? All right?

1547
01:22:27,720 --> 01:22:30,960
Speaker 1: So we have been looking for a while to bring

1548
01:22:31,000 --> 01:22:34,320
Speaker 1: someone in who can focus specifically on labor. Obviously we

1549
01:22:34,360 --> 01:22:36,960
Speaker 1: do a lot of that ourselves on the show, but

1550
01:22:37,240 --> 01:22:40,200
Speaker 1: we're bringing in Max Alvarez as a new partner. He's

1551
01:22:40,280 --> 01:22:43,160
Speaker 1: of course of the Real News Network and also Working

1552
01:22:43,200 --> 01:22:47,320
Speaker 1: People Pod. He gets lots of exclusives video. We want

1553
01:22:47,360 --> 01:22:49,000
Speaker 1: to send him out on the road to to cover

1554
01:22:49,120 --> 01:22:52,439
Speaker 1: emerging labor stories because we truly believe that this worker

1555
01:22:52,560 --> 01:22:56,040
Speaker 1: Uprising movement is one of the significant, most significant stories

1556
01:22:56,040 --> 01:22:58,200
Speaker 1: in the country. So in addition to what we do

1557
01:22:58,280 --> 01:23:00,760
Speaker 1: on the show, and obviously it's some I focus on

1558
01:23:00,880 --> 01:23:03,280
Speaker 1: a lot, we wanted to have someone whose eye is

1559
01:23:03,360 --> 01:23:06,040
Speaker 1: really specifically on he could do it full time. And Max,

1560
01:23:06,280 --> 01:23:08,599
Speaker 1: you guys know Max, We love him. He is a

1561
01:23:08,640 --> 01:23:13,920
Speaker 1: longtime front of the show, wonderful, thoughtful guy, tons of integrity,

1562
01:23:14,120 --> 01:23:17,280
Speaker 1: tons of just like really gets what people are going

1563
01:23:17,320 --> 01:23:20,599
Speaker 1: throughund there. So very excited to have Max, and also

1564
01:23:22,040 --> 01:23:25,960
Speaker 1: bringing back an old great friend of the show, Ryan

1565
01:23:26,040 --> 01:23:31,280
Speaker 1: griss Ingram's returning and we're going to work out a

1566
01:23:31,320 --> 01:23:34,160
Speaker 1: partnership with him as well. So he's always doing great reporting,

1567
01:23:34,160 --> 01:23:37,160
Speaker 1: his incredible contacts in DC. He's got you know, his

1568
01:23:37,280 --> 01:23:40,360
Speaker 1: high on the midterms, on the primaries, on legislation. So

1569
01:23:40,439 --> 01:23:43,000
Speaker 1: he's always got, you know, an angle on news stories

1570
01:23:43,000 --> 01:23:45,720
Speaker 1: that are breaking right here in DC. So excited for

1571
01:23:45,760 --> 01:23:48,120
Speaker 1: that too. Nothing but love and respect from a man. Ryan.

1572
01:23:48,240 --> 01:23:51,320
Speaker 1: I'm excited to see him again. And Yeah, we're just

1573
01:23:51,320 --> 01:23:52,760
Speaker 1: going to keep growing the show. We're going to keep

1574
01:23:52,760 --> 01:23:55,200
Speaker 1: having more excellent content. You have a variety of VP

1575
01:23:55,360 --> 01:23:57,479
Speaker 1: partners that post over the next week as well as

1576
01:23:57,720 --> 01:24:00,000
Speaker 1: content that we do. We will never ever forget about.

1577
01:24:00,120 --> 01:24:02,439
Speaker 1: You're always our number one priority and we'll see you

1578
01:24:02,479 --> 01:24:03,880
Speaker 1: all later. See y'all later.