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Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal

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Speaker 1: and Sager. We're going to be totally upfront with you.

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Speaker 1: hour early before everyone else. You get to hear our

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Speaker 1: reactions to each other's monologues. You get to participate and

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Speaker 1: weekly ask me any things, and you don't need to

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Speaker 1: hear our annoying voices pitching you like I am right now,

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Speaker 1: com become a Premium member today, which is available in

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Speaker 1: the show notes. Enjoy the show, guys, 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: Cristal Ball is back. What do we have Forristul? Indeed

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Speaker 1: I am, and indeed we do. We've got Jana Furman

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Speaker 1: is our guest today. He's going to give us an

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Speaker 1: update on all of the strikes that have been roiling

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Speaker 1: the entire country, including ten thousand workers at John Deere.

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Speaker 1: These are UAW members. It may be that they are

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Speaker 1: headed towards a strike as well. We'll get an update

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Speaker 1: from him on that. Some big polling drops from Joe Biden.

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Speaker 1: We've got this whole situation with Southwest. We're going to

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Speaker 1: sort of dig into what's fact and what's fiction, what's

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Speaker 1: causing all of these airline flight cancelations. We're going to

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Speaker 1: look at the polling in the Virginia governor's race, and

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Speaker 1: some very interesting recent comments from one Terry mcauoff, who

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Speaker 1: seems to have a habit you were mentioning of saying

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Speaker 1: the quiet part out loud, especially on zoom calls. For

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Speaker 1: some reason, he religious his guard down too. Troubling new

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Speaker 1: numbers regarding inequality and the stent to which the middle

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Speaker 1: class is no more, and also the massive, massive price

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Speaker 1: gouging that is going to happen on that new COVID

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Speaker 1: pill But we want to start sager with those Biden numbers.

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Speaker 1: Those Biden numbers, this is a really interesting piece where

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Speaker 1: you have to zoom out. I know we've been covering

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Speaker 1: quite a bit of polling on the approval, but when

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Speaker 1: you take it in the aggregate, the drop for Biden

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Speaker 1: is absolutely stunning, especially in the place that matters most

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Speaker 1: in terms of electoral politics, that's amongst independent voters. So

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Speaker 1: let's put this up there on the screen, Alex Thompson,

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Speaker 1: he's blurbing there. A Harry Enton piece from CNN. In

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Speaker 1: twenty twenty, Biden had a thirteen point win with independent voters.

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Speaker 1: That was a group that Hillary critically lost by four

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Speaker 1: points in twenty sixteen, and September and October he was

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Speaker 1: at minus sixteen within the group. And this is within

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Speaker 1: both CNN polling but also within the total aggregate. And

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Speaker 1: the reason why that matters is that the slide is

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Speaker 1: the most important indicator of how things are going to

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Speaker 1: go in the twenty twenty two midterm elections. It's very

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Speaker 1: similar to exactly what happened with Barack Obama back in

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Speaker 1: two thousand and nine. The independent slide on Obamacare, plus

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Speaker 1: the economy and the moras and the chaos and all

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Speaker 1: that led to that big Republican wave. This is the

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Speaker 1: same thing that you're beginning to see here. And the

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Speaker 1: key thing is that the drop amongst Democrats and Republicans

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Speaker 1: even is evident, as in Biden has now actually slid

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Speaker 1: amongst Democrats. Now granted it's nine points, so he still

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Speaker 1: holds a seventy nine percent approval rating with that group.

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Speaker 1: Amongst Republicans, he's at minus eighty four. But in those

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Speaker 1: places where you have a supermajority four or against, the

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Speaker 1: margins still do matter, and it's a good indicator. So

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Speaker 1: got a nine point drop amongst Democrats, a twelve point

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Speaker 1: drop amongst Republicans, and a nineteen point drop there amongst independents,

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Speaker 1: So a drop all the way across the board, and

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Speaker 1: I would pair it very well with this do good

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Speaker 1: Politico story. Let's put this up there which goes and

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Speaker 1: looks at a folk group in Atlanta. Now you guys

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Speaker 1: will remember there Atlanta matters a lot as to why

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Speaker 1: exactly what was happening. The Atlanta focus group also included

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Speaker 1: some Pennsylvania voters. So in that focus group, all nine

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Speaker 1: participants from this session gave Biden a C minus grade

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Speaker 1: or lower. So that was the highest grade that he received.

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Speaker 1: And these are people who are independent voters. I just

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Speaker 1: want to read some of the people and what they're

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Speaker 1: saying and why they're dissatisfied with the president. One woman

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Speaker 1: said she wanted to buy a car, but supply chain

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Speaker 1: issues were delaying new shipments. One man complained about understaffed restaurants. Really,

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Speaker 1: what you're beginning to see here is that within the

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Speaker 1: general chaos of the US economy we covered yesterday all

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Speaker 1: the shortages, we covered how the fact just wait till

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Speaker 1: Christmas and when people can't get stuff for Christmas, they're

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Speaker 1: going to freak out. And you can see that the

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Speaker 1: gas prices as well. All of that is kind of

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Speaker 1: a cascading, a cascading feeling of you said you were

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Speaker 1: going to end this and you didn't. Some of that

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Speaker 1: is out of his hands, some of it is directly

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Speaker 1: in his hands, but all of it kind of combines

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Speaker 1: for a very bad day for Joe Biden. And you

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Speaker 1: see that. I mean, I can't believe it. All nine

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Speaker 1: participants saying C minus or lower in terms of they're

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Speaker 1: grade for the president. That's catastrophic. I mean it's funny

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Speaker 1: because in a sense he didn't promise anything in his

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Speaker 1: presidential campaign, but in a sense he promised something gigantic,

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Speaker 1: which was a return to Normalah. And so when people

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Speaker 1: look around whatever it is that's irking them, whether it's

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Speaker 1: the not being able to buy the car they want

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Speaker 1: because the microchips shortage, the feeling like the restaurants are understaff,

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Speaker 1: the sense of like, oh my god, you know, schools

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Speaker 1: it's still touch and go. My kid's being pulled down

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Speaker 1: to quarantine. All of these things. This confluence, some of

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Speaker 1: which is in his control and some of which is

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Speaker 1: not in his control, makes people to very legitimately say,

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Speaker 1: you said we're going to get back to normal, and

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Speaker 1: this does not feel like anything approaching normals. There are

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Speaker 1: a couple of things that really stood out to me

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Speaker 1: in those two articles that you were showing there. So

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Speaker 1: in the CNN one they also to site an NBC

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Speaker 1: News poll that was back in the end of August,

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Speaker 1: where only thirty two percent of independence say that Biden

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Speaker 1: has accomplished a great or fair deal in office. The

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Speaker 1: vast majority say he's done only some to very little

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Speaker 1: in office. I think that again points directly to this

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Speaker 1: strategic or tactical failure that he made that he wanted

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Speaker 1: to slow down the process and try to get a

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Speaker 1: few Republicans on board, rather than pushing forward to deliver

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Speaker 1: with his agenda, because ultimately, people do not give a

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Speaker 1: shit about the process. They give a shit about whether

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Speaker 1: there's a sense that things are getting done. There's a

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Speaker 1: sense that things are moving forward. There's a sense that

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Speaker 1: they're that you're delivering for them and their family specifically.

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Speaker 1: And yeah, sure he did some good stuff at the

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Speaker 1: beginning around the checks went out, temporary child tax credit,

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Speaker 1: all these things, but it's kind of all right, Well,

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Speaker 1: that seems like it wasn't enough, because we're still stuck

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Speaker 1: in this middle place of not being out of the pandemic.

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Speaker 1: And you know, the jobs report was dismal last week's

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Speaker 1: all these supply chain disruptions and so people still feel like, Okay,

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Speaker 1: this is not anywhere close to back to normal. In

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Speaker 1: the Politico piece, another thing that was really interesting to

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Speaker 1: me is that the person who conducted the focus group

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Speaker 1: said that she was struck by how similar are the

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Speaker 1: concerns of Democrats added to Republicans, and by how little

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Speaker 1: Democrats in her surveys blamed Republicans for standing in Biden's way.

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Speaker 1: It's a point that was echoed by nearly a dozen

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Speaker 1: strategists who have compiled or reviewed research into Biden's precipitous decline.

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Speaker 1: So the whole idea is basically like, whether you're a

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Speaker 1: Democrat or Republican or an independent, you feel like this

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Speaker 1: isn't going that well. And Democrats have total control of Washington.

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Speaker 1: So while you know, it's easy to say from where

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Speaker 1: we stand, oh, mcconnald's being obstructionist, or you know, they're

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Speaker 1: blocking everything, they won't even help out with the debt ceiling,

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Speaker 1: et cetera, et cetera. But voters are very justified and saying,

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Speaker 1: y'all have tools at your disposal, and you have total

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Speaker 1: control of all of these different levers of power and

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Speaker 1: you're still not delivering. For who else are we gonna blame?

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Speaker 1: But you I don't know how many times I've said

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Speaker 1: it here and people get mad. They're like, oh, well,

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Speaker 1: you're saying the Republican can just be obstructionists. It's like, look,

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Speaker 1: people know the Democrats control the government, and so when

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Speaker 1: nothing happens, they Biden and Schumer and Pelosi can scream

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Speaker 1: Republicans or obstructions till they're blue in the face. They

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Speaker 1: are still in power. And there are things they could

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Speaker 1: do if they wanted to do. They just don't want

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Speaker 1: to do it. I mean, right now, it's October twelfth, Crystal.

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Speaker 1: This is actually around the fake time when they said

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Speaker 1: that it was going to take to pass reconciliation. Where

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Speaker 1: is it nowhere? Well, after them pushing it off being

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Speaker 1: like May, there's no way way, in October, it was like, okay, well,

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Speaker 1: you've been president now like ten months, and in that

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Speaker 1: ten months has anything happened. No. He hung that FDR

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Speaker 1: poster or you know, the FDR portrait in the Oval office.

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Speaker 1: It's not looking very FDR. It's looking very Barack Obama.

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Speaker 1: And look, there's a very common Theme's put this up

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Speaker 1: there from the Washington Post, which went down to Atlanta

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Speaker 1: to go and talk with black voters. Same thing you

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Speaker 1: have here. A man his name is w Mondale Robinson.

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Speaker 1: He was the founder of the Blackmail Voter Project, who

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Speaker 1: actually spent a large chunk of twenty twenty trying to

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Speaker 1: whip votes. Now for mister Robinson, he says that he

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Speaker 1: was very upset with the Democrats in May when they

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Speaker 1: were unable to pass a police reform bill. But he

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Speaker 1: was particularly dismayed when Biden did not push for changes

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Speaker 1: to the filibuster to enact a fifteen dollars minimum wage,

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Speaker 1: and he was upset that the President did not try

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Speaker 1: and halt a raft of voting restrictions passed in Georgia. Now,

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Speaker 1: in terms of overturning state law, that ain't gonna happen,

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Speaker 1: mister Robinson. But the other two those are fair concerns

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Speaker 1: if you're somebody who voted for him because you believe

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Speaker 1: that something was going to happen, at least from a

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Speaker 1: more left perspective. However, what they point to here, Crystal,

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Speaker 1: is that the latest Pew research data shows that Blacks, Latinos, women,

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Speaker 1: and young people I hear, those are important constituencies for

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Speaker 1: the Democratic Party all have seen the precipitous drops for

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Speaker 1: Joe Biden from Black Americans eighty five percent in July

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Speaker 1: to sixty seven percent in September, sixteen points amongst Hispanic

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Speaker 1: in terms of the drop fourteen amongst Asians. Now, don't

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Speaker 1: get me wrong, he's still winning amongst all those groups.

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Speaker 1: But the margins matter, not even necessarily in terms of

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Speaker 1: whether these people are going to vote Republican, whether they

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Speaker 1: are going to vote at all, that's the period, and

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Speaker 1: that that matters a lot for mid terms, especially if

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Speaker 1: you're not on the ballot and a guy named Trump

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Speaker 1: who's super orange is also not there. In order to

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Speaker 1: gen people up. Yes, Indeed, the key quote here from

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Speaker 1: mister Robinson was black men are pissed off about the

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Speaker 1: nothingness that has happened. Does it make the work harder?

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Speaker 1: It makes the work damn near impossible, right, And as

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Speaker 1: you said, he had a whole litany of things that, Hey,

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Speaker 1: we thought you were going to deliver on vote. We

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Speaker 1: thought there was going to be some kind of police reform,

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Speaker 1: We thought there was going to be some kind of

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Speaker 1: economic package coming forward. And so far all of these

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Speaker 1: promises have been broken. I mean, that's that's the sense

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Speaker 1: that a lot of people have. And so there's a

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Speaker 1: Biden is an old school politician, and I think in

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Speaker 1: a sense, you know, he really struck the right court.

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Speaker 1: Obviously was able to get himself through the primary, able

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Speaker 1: to get himself through the general election. But now you're

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Speaker 1: seeing the problem of having no one who's actually excited

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Speaker 1: about you, like you real quick. I mean I said

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Speaker 1: this before, but Trump, I would take Trump's lower approval rating,

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Speaker 1: but super hardcore support any day over Biden's slightly higher

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Speaker 1: approval rating, but sort of like meant lackluster enthusiasm for him,

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Speaker 1: especially when you're heading into a midterm election. So right now,

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Speaker 1: what I've been thinking about lately is, you know, as

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Speaker 1: we're negotiating this reconciliation package with the different social welfare

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Speaker 1: spending items, there are a bunch of members of Congress

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Speaker 1: who I could tell you what their priorities are in

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Speaker 1: that package, whether it's a child tax credit, whether it's climate,

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Speaker 1: whether it's you know, Bernie and the Medicare expansion. I

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Speaker 1: don't know what the President of the United States priorities are.

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Speaker 1: I don't know. He has not told us of this

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Speaker 1: reconciliation package. This part is instrumental. I will not cut it.

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Speaker 1: I will not let it go. We have zero indication

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Speaker 1: of where he's actually steering the ship and what things

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Speaker 1: could be on the chopping block and what things are

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Speaker 1: non negotiable, no idea of his priorities. That's kind of extraordinary,

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Speaker 1: and I think it speaks to you know, listen, sometimes

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Speaker 1: it's as simple as people really want a hard and

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Speaker 1: fast direction, someone to come in and have that energy

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Speaker 1: of like I got this, whether it's on COVID, here's

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Speaker 1: our goal, here's our strategy, here's how we're getting there,

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Speaker 1: or whether it's on these social welfare spending programs and

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Speaker 1: showing people like, here's how this is going to change

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Speaker 1: your life, here's how this is going to change the country.

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Speaker 1: This is the direction we're going to move in. And

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Speaker 1: I don't know if it's a continuation of this sort

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Speaker 1: of like basement strategy where the less he talks, the

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Speaker 1: less there is to pick apart, the harder it is

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Speaker 1: to demonize him. But at a certain point, you got

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Speaker 1: to be president. You got to come out and tell

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Speaker 1: people what you believe in, what you're fighting for, and

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Speaker 1: what your vision for the country is. The lack of

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Speaker 1: doing that, I think has also really hurt him. So

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Speaker 1: you've got, you know, some national factors and global factors

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Speaker 1: that are out of this control. You have tactical and

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Speaker 1: strategic failures that have led his entire agenda to get

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Speaker 1: completely mired and bogged down in Washington, And you have

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Speaker 1: a lack of affirmative assertive leadership and laying out a

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Speaker 1: vision in a direction of the country that people may

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Speaker 1: love or they may hate. But you got to have

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Speaker 1: something for people to either love or hate. That was

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Speaker 1: what Trump really understood. He would rather put out the

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Speaker 1: most inflammatory, like unpopular thing and make everybody fight over

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Speaker 1: it and draw a hard line. And that sort of

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Speaker 1: politics may be ugly at times, but it can be

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Speaker 1: pretty effective at least in terms of having an actual

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Speaker 1: base of support that gives a shit whether you and

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Speaker 1: your party ultimately get reelected. And so look, we've been

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Speaker 1: saying this for a while, it's nothing new, but Democrats

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Speaker 1: are in big, big trouble for the midterms. It would

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Speaker 1: be very hard for them to turn it around passing

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Speaker 1: these bills. It's not going to be enough because all

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Speaker 1: of these factors in their control and some out of

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Speaker 1: their control are going against them. It's already extraordinarily difficult

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Speaker 1: in a midterm election for the party in power. So

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Speaker 1: they are in a very very bad, sad place. Absolutely.

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Speaker 1: And you know, combining we cover those jobs numbers, yes, yeah,

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Speaker 1: I mean they were total disaster, one hundred and ninety

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Speaker 1: six thousand jobs. You saw sclerotic growth in the retail industry,

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Speaker 1: also in the leisure and hospitality and the shortages. Be

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Speaker 1: realizing and foreseeing what's coming down the pipeline with Christmas,

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Speaker 1: I think is going like that lady who blames Biden

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Speaker 1: around the new cars. You just wait and see what

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Speaker 1: happens when people begin to try and order stuff. And

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Speaker 1: we're talking about a trillion dollars. I checked yesterday, A

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Speaker 1: trillion dollars worth of Christmas goods are currently not yet

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Speaker 1: in the United States, sitting in a warehouse being ready

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Speaker 1: to be shipped. These Amazon and all these other people

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Speaker 1: don't even know if they can scale up their operations

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Speaker 1: in order to deliver because they may not have actual

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Speaker 1: goods in order to send to people. That level of

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Speaker 1: chaos and that level of disruption in the supply chain

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Speaker 1: is going to be bad for Biden, and I don't

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Speaker 1: know if we can show it. There's a book behind

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Speaker 1: me called Freedom from Fear. One of the things I

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Speaker 1: learned from it is a history of the FDR presidency,

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Speaker 1: is that here's a dirty secret. The early couple of

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Speaker 1: years of FDR not that much changed in terms of

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Speaker 1: the actual conditions. But you know what did change. The

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Speaker 1: feeling that somebody's got this under control. Yeah, the feeling

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Speaker 1: that somebody's actually trying to do something about it. And

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Speaker 1: it turns out that feeling eventually, eventually being the keyword

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Speaker 1: did translate into a different direction for the country, and

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Speaker 1: ultimately World War II. All of that got us out

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Speaker 1: of the depression. But one of the key things that

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Speaker 1: I learned was actually the depression was getting worse in

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Speaker 1: some of those early months, but the population felt as

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Speaker 1: if somebody was actually trying to do something about it.

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Speaker 1: They rallied behind that person because they said, oh, somebody

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Speaker 1: is speaking to me. All of the chaos in the economy,

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Speaker 1: the supply chain, the jobs numbers, the COVID stuff, all

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Speaker 1: of that, they need to see something. You know. I

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Speaker 1: was just thinking about what Biden could have done. Imagine

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Speaker 1: if he did a daily press conference. I'll oh, almost

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Speaker 1: what Trump used to do with those COVID vaccines, and

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Speaker 1: he'd be like, all right, we're sixty three percent today, tomorrow,

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Speaker 1: let's get sixty four. Now we're sixty five. Hey, we

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Speaker 1: took a step back. Here's where I'm trying to get to.

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Speaker 1: Once we hit this particular benchmark, it's over. And yet

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Speaker 1: he won't do it. Same thing on the economy. I mean,

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Speaker 1: like you said, I don't know what's going on there.

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Speaker 1: You know, FDR and many other presidents they sent legislation

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Speaker 1: down to the hill. This was he just was like, hey,

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Speaker 1: here's a number, you guys figure it out. And what

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Speaker 1: it's been a total mess. I mean, anybody who's been

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Speaker 1: in Washington for years would know that. And you know,

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Speaker 1: I keep coming back to Obamacare. What was Obama's thing

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Speaker 1: after he gave up on universal healthcare? I don't even

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Speaker 1: know what was going on, Like they dropped the public option.

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Speaker 1: What was the point I mean prescription? What was Oh,

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Speaker 1: you can stay on your parents' health insurance til your

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Speaker 1: like twenty six everybody understood that one. The rest of

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Speaker 1: the bill, they're like exchanges, what about my doctor? Oh

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Speaker 1: that's lost now? Oh my memes one up a lot

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Speaker 1: these are all. That's exactly how I think this one's

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Speaker 1: going to turn out, because there's no clear messaging. Returning

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Speaker 1: to normal actually does require transformational change. That's a good point.

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Speaker 1: We're not at a place where you can just sort

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Speaker 1: of like managed by tweaks and nudges and you know,

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Speaker 1: little fine adjustments to what's been going on in the country.

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Speaker 1: It requires huge changes, and it requires laying out a

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Speaker 1: vision that people actually buy into so that they can

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Speaker 1: see past these bumps. I think that's the problem is

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Speaker 1: rather than having the sense of like, okay, but I

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Speaker 1: get how we're going to get from here to there.

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Speaker 1: I get how I'm going to be in a place

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Speaker 1: where I feel like, okay, for myself, for my kids,

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Speaker 1: for my grandkids, we're moving generally in the right direction. Instead,

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Speaker 1: these bumps feel like this society is in permanent decline.

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Speaker 1: This is normal. We are a decaying, past our prime nation.

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Speaker 1: We can't even do the very basics of governing. And

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Speaker 1: you know, we vote for this one, we vote for

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Speaker 1: that one, we vote for this party, we vote for

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Speaker 1: that party, and it doesn't really seem to change any

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Speaker 1: of the trajectory. The rich keep good and richer, and

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Speaker 1: my life keeps getting more and more difficult. So look,

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Speaker 1: it can be silly, and we made fun of a

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Speaker 1: lot of fun of like Andrew Cuomo and his big

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Speaker 1: government energy because he was great at give him the presser,

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Speaker 1: but then his actual policies were killing people. But people

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Speaker 1: do want to have that sense of like the I

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Speaker 1: got this figure in charge that can give them some

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Speaker 1: comfort to see past these very difficult and uncertain times.

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Speaker 1: And he has been an utter and complete failure at

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Speaker 1: all of those things. That's right. We also have a

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Speaker 1: very important poll to show all up. Oh yes, I'm glad.

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Speaker 1: Remember all caveats. It is not scientific, it is not

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Speaker 1: representative any of that. We've been messing around with our

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Speaker 1: YouTube community tab and we're going to start doing polls

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Speaker 1: all the time, and so we decided to do our

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Speaker 1: very first poll on this subject because we knew we

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Speaker 1: were going to cover it. Let's put it up there

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Speaker 1: on the screen. Sixty four thousand people voted that graphic

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Speaker 1: was made before another fourteen thousand made. Actually, though the

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Speaker 1: numbers continue to stand. The question do you approve of

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Speaker 1: President Joe Biden? Yes, twelve percent, No, seventy two percent,

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Speaker 1: unsure sixteen percent. You know what's remarkable, Crystal, it's actually

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Speaker 1: been almost that exact figure from the beginning, from the

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Speaker 1: very beginning of it, after we got like twelve thousand votes,

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Speaker 1: So sixty four thousand of you have voted in the

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Speaker 1: poll so far. You can go on the community tab.

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Speaker 1: You can get engaged there if you would like to.

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Speaker 1: We're going to be continued to running polls there all

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Speaker 1: the time because it's fun and it gives us something

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Speaker 1: even more to talk about. So there you go. If

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Speaker 1: you want to know where they're breaking points people stand

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Speaker 1: there it is there's some fun discussion in the comments

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Speaker 1: section there, and you know what's funny, and we should

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Speaker 1: we'll do play with these polls more. But I bet

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Speaker 1: if you drilled down within the breaking points community into

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Speaker 1: what their specific critiques of Biden were, there'd be some

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Speaker 1: overlap and there would be some wild opposite like he's

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Speaker 1: open borders or he you know, is illegally deporting all

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Speaker 1: these immigrants. See if we can all over the map.

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Speaker 1: I'll talk to I'll talk to James, our producer, and

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Speaker 1: we'll see, we'll see how much optionality that we can

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Speaker 1: give people, because I would love to see that. Yeah,

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Speaker 1: I would love to see that too. So anyway, thanks

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Speaker 1: guys for voting. We always appreciate your engagements for in

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Speaker 1: all of those good things and something we'll continue to

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Speaker 1: play with absolutely. Okay, let's talk about Southwest Airlines. So

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Speaker 1: I went deep on this one. There is a lot

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Speaker 1: of discussion online about Southwest Airlines. Let's start with the

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Speaker 1: very top line news. Southwest Airlines canceled around two thousand flights. Now,

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Speaker 1: amidst all of that chaos, there was speculation as to

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Speaker 1: whether this had anything to do with a hastily announced

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Speaker 1: deadline and then retraction of the deadline on Southwest saying

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Speaker 1: that all of its pilots and staff had to be

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Speaker 1: fully vaccine or sorry, I had to at least have

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Speaker 1: one dose of the vaccine. Now, the cancelations came, and

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Speaker 1: immediately there was speculation as to weather this was some

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Speaker 1: sort of planned quote unquote sick out by pilots and

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Speaker 1: by air traffic control staff and others who said that

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Speaker 1: the reason that they're not coming to work is because

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Speaker 1: of these vaccine requirements. This was largely sparked by Senator

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Speaker 1: Ted Cruz. So let's start with that, and let's put

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Speaker 1: that up there on the screen, because I'm sure you

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Speaker 1: guys have had that. So Southwest yesterday canceled about a

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Speaker 1: thousand flights cruise Cruise, I want to be clear. Ted

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Speaker 1: Cruz was the first person to say that it was

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Speaker 1: because of the quote unquote illegal vaccine mandate at work.

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Speaker 1: Now that set off a range of speculation. The actual

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Speaker 1: news of their continued to cascade with South Rest. Let's

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Speaker 1: put the next one up there on the screen, CNN

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Speaker 1: saying that they canceled an additional two thousand weekend flights

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Speaker 1: as all of this continued. Now here's the interesting thing.

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Speaker 1: The company came out and said that the cancelations were

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Speaker 1: based on a couple of things, three things, air traffic control,

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Speaker 1: limited staffing in Florida, and bad weather. Now, there was

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Speaker 1: a lot of making fun of Southwest Airlines Crystal because

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Speaker 1: there weren't any other airlines that were canceling bikes. So

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Speaker 1: it's like, well, okay, like the weather everybody, So this

429
00:22:14,800 --> 00:22:18,119
Speaker 1: seems like a Southwest problem. Now, everybody was trying to

430
00:22:18,119 --> 00:22:20,959
Speaker 1: debunk this one way or the other. From what I

431
00:22:21,000 --> 00:22:23,120
Speaker 1: can tell, and I want to be clear, from what

432
00:22:23,160 --> 00:22:26,400
Speaker 1: I can tell, it seems to be a confluence of

433
00:22:26,440 --> 00:22:30,359
Speaker 1: all of these events, including the vaccine protests, but not all.

434
00:22:30,680 --> 00:22:34,280
Speaker 1: So let's put this up there from Axios Axios. Southwest

435
00:22:34,320 --> 00:22:40,520
Speaker 1: Airlines specifically denies that a pilot sickout is driving weekend

436
00:22:40,720 --> 00:22:45,639
Speaker 1: of delays. Now they are blaming and basically admitting terrible

437
00:22:45,720 --> 00:22:48,680
Speaker 1: management on their part and the fact that there's a

438
00:22:48,720 --> 00:22:51,639
Speaker 1: lot of vacation time and staffing problems, and the staff

439
00:22:51,680 --> 00:22:54,240
Speaker 1: themselves are kind of being worked to the bone trying

440
00:22:54,240 --> 00:22:56,439
Speaker 1: to be able to pick up other people's shifts, and

441
00:22:56,480 --> 00:22:59,680
Speaker 1: it kind of cascaded all into a complete and total disaster.

442
00:23:00,080 --> 00:23:03,560
Speaker 1: But I did some digging on this. Leland Vittert, who

443
00:23:03,600 --> 00:23:05,119
Speaker 1: is a reporter who I trust, and he used to

444
00:23:05,160 --> 00:23:07,280
Speaker 1: work at Fox News and it works over at News Nation.

445
00:23:07,320 --> 00:23:09,239
Speaker 1: Here's what he tweets. We got fired from Fox being

446
00:23:09,280 --> 00:23:12,960
Speaker 1: too honest. That's right, Yan he ha said. Airline sources, Yeah, exactly.

447
00:23:13,040 --> 00:23:14,360
Speaker 1: So if you know, if you're one of those people

448
00:23:14,480 --> 00:23:16,560
Speaker 1: you should trust with, the guy has to say. Here's

449
00:23:16,560 --> 00:23:19,960
Speaker 1: what he says, airline sources. A mass sickout at FAA

450
00:23:20,119 --> 00:23:23,240
Speaker 1: Jacksonville has caused a ripple effect in a thousand flight

451
00:23:23,320 --> 00:23:28,160
Speaker 1: cancelations affecting Southwest Airlines. Now, there is an email which

452
00:23:28,240 --> 00:23:33,480
Speaker 1: was circulating which shows that there was some sort of

453
00:23:33,600 --> 00:23:38,000
Speaker 1: verification at the air Traffic Control center in Jacksonville in

454
00:23:38,040 --> 00:23:42,960
Speaker 1: which they did acknowledge that vaccine holdouts quote unquote were

455
00:23:43,040 --> 00:23:46,560
Speaker 1: not there at air traffic control. But here's the thing.

456
00:23:46,880 --> 00:23:50,080
Speaker 1: You'll notice that Ted Cruz and many other Republicans seem

457
00:23:50,160 --> 00:23:52,240
Speaker 1: to be saying that this is a pilot sick out.

458
00:23:52,480 --> 00:23:55,040
Speaker 1: There are some pilots, that's absolutely certain. I've seen text

459
00:23:55,040 --> 00:23:58,600
Speaker 1: messages and others that have validated that. However, is it

460
00:23:58,680 --> 00:24:01,720
Speaker 1: the mass cause and the single thing. It does not

461
00:24:01,720 --> 00:24:04,359
Speaker 1: seem to be the case because they're moving the goalposts

462
00:24:04,359 --> 00:24:06,800
Speaker 1: a little bit because now they're saying, oh, well, it's

463
00:24:06,800 --> 00:24:08,879
Speaker 1: air traffic control. Well, those people are pilots, they're air

464
00:24:08,920 --> 00:24:11,680
Speaker 1: traffic controllers, right, So there are some air traffic control

465
00:24:12,440 --> 00:24:16,120
Speaker 1: ripple out effects that air traffic control staffing problems, some

466
00:24:16,200 --> 00:24:18,080
Speaker 1: of which, and I want to be a clear some

467
00:24:18,160 --> 00:24:21,160
Speaker 1: of which is attributable to vaccine holdout as well as

468
00:24:21,240 --> 00:24:25,439
Speaker 1: some pilot holdout as well as horrific management on the

469
00:24:25,440 --> 00:24:29,000
Speaker 1: part of Southwest Airlines. That as well as what they

470
00:24:29,000 --> 00:24:30,399
Speaker 1: claim is bad weather. I think I'm going to go

471
00:24:30,440 --> 00:24:32,560
Speaker 1: ahead and put that into the day air traffic control

472
00:24:32,600 --> 00:24:35,879
Speaker 1: thing would also affect everybody, that's right, So why so,

473
00:24:36,160 --> 00:24:38,640
Speaker 1: I mean, that's the whole thing, is like why Southwest?

474
00:24:39,119 --> 00:24:41,560
Speaker 1: And there's a couple things. It's also important to note,

475
00:24:41,600 --> 00:24:43,800
Speaker 1: of course Southwest this isn't a stick out. But the

476
00:24:43,920 --> 00:24:47,080
Speaker 1: union itself union also said this pilot union was very

477
00:24:47,200 --> 00:24:50,760
Speaker 1: very clear. They issued a press release they said it

478
00:24:50,840 --> 00:24:55,360
Speaker 1: was aware of operational difficulties, but quote, we can say

479
00:24:55,359 --> 00:24:58,840
Speaker 1: with confidence that our pilots are not participating in any

480
00:24:58,880 --> 00:25:02,639
Speaker 1: official or a official job actions. The other thing to

481
00:25:02,760 --> 00:25:06,120
Speaker 1: throw into the mix here is that Southwest. I haven't

482
00:25:06,119 --> 00:25:07,800
Speaker 1: flown in a long time, so I haven't kept up

483
00:25:07,840 --> 00:25:09,919
Speaker 1: with like which airline is the best and which is

484
00:25:09,920 --> 00:25:12,560
Speaker 1: the worst. They're all kind of like routinely terrible, but

485
00:25:12,680 --> 00:25:17,240
Speaker 1: Southwest has been a mess this entire year. They had

486
00:25:17,280 --> 00:25:20,040
Speaker 1: the worst on time performance. This is from the CNN

487
00:25:20,560 --> 00:25:23,240
Speaker 1: article we had up there, and the greatest percentage of

488
00:25:23,240 --> 00:25:26,160
Speaker 1: canceled flights of any of the nation's four major airlines

489
00:25:26,160 --> 00:25:30,800
Speaker 1: in June and July, according to Flight tracking Surface Service Syrium.

490
00:25:30,840 --> 00:25:33,800
Speaker 1: I think that's how you say that anyway, So I

491
00:25:33,840 --> 00:25:38,000
Speaker 1: do think my assessment is essentially the same as yours.

492
00:25:38,520 --> 00:25:44,960
Speaker 1: Southwest is a catastrophically shitty company. The same sort of

493
00:25:45,040 --> 00:25:49,320
Speaker 1: like minor issues whether it's weather or the air traffic

494
00:25:49,359 --> 00:25:52,280
Speaker 1: control thing that other airlines seemed to be able to

495
00:25:52,320 --> 00:25:57,320
Speaker 1: work out, caused real issues for Southwest. That's right, that

496
00:25:57,400 --> 00:26:00,800
Speaker 1: were you know, catastrophic. But I don't doubt that there

497
00:26:00,800 --> 00:26:03,639
Speaker 1: are also people who are calling in sick that are

498
00:26:03,680 --> 00:26:07,040
Speaker 1: part of this, who have kind of used this moment

499
00:26:07,480 --> 00:26:12,239
Speaker 1: to make theirs for sure. Yeah, piling on is what

500
00:26:12,280 --> 00:26:14,800
Speaker 1: it seems to me. I think if there was if

501
00:26:14,880 --> 00:26:18,640
Speaker 1: this had been sparked initially by just the vaccine mandate.

502
00:26:19,000 --> 00:26:20,760
Speaker 1: Because part of this is like the timing of it.

503
00:26:20,800 --> 00:26:23,159
Speaker 1: The pilot's union had also just challenged this in court.

504
00:26:23,520 --> 00:26:25,560
Speaker 1: These deadlines had all just come into place, so that's

505
00:26:25,640 --> 00:26:29,040
Speaker 1: that timing is part of why that speculation, you know,

506
00:26:29,160 --> 00:26:33,159
Speaker 1: understandably started. But I do think if this was really

507
00:26:33,320 --> 00:26:37,080
Speaker 1: a sort of concerted, intentional protest, there would be a

508
00:26:37,119 --> 00:26:40,240
Speaker 1: wink and a nod to make it clear that that's

509
00:26:40,240 --> 00:26:43,040
Speaker 1: what was really going on, because a protest is not

510
00:26:43,119 --> 00:26:46,920
Speaker 1: effective if you have no idea what people are protesting about,

511
00:26:47,000 --> 00:26:49,359
Speaker 1: or that it's even a protest. So there has to

512
00:26:49,400 --> 00:26:52,360
Speaker 1: be some sort of like, okay, and we're doing this,

513
00:26:52,560 --> 00:26:54,159
Speaker 1: and we're going to make it known we're doing this,

514
00:26:54,200 --> 00:26:56,800
Speaker 1: and we're going to continue to cause you problems unless

515
00:26:56,800 --> 00:26:59,040
Speaker 1: we get our way. But the fact that they're so

516
00:26:59,240 --> 00:27:02,399
Speaker 1: adamantly denying it without even like a little wink at

517
00:27:02,400 --> 00:27:04,720
Speaker 1: a nod of like, well, maybe some pilots are, but

518
00:27:04,760 --> 00:27:07,679
Speaker 1: we can't really say it's certainly not our intention, that

519
00:27:07,760 --> 00:27:10,960
Speaker 1: also tells me that that is probably not the bulk

520
00:27:11,040 --> 00:27:13,240
Speaker 1: of what's going on here. Yeah, I think you're right,

521
00:27:13,280 --> 00:27:15,479
Speaker 1: and that's why it's important to put it all together.

522
00:27:15,560 --> 00:27:17,439
Speaker 1: So I mean, you're just gonna see a lot. It

523
00:27:17,440 --> 00:27:19,720
Speaker 1: takes a lot of people a lot. Here's what I love.

524
00:27:19,720 --> 00:27:21,840
Speaker 1: A lot of Republicans are very pro union now, very

525
00:27:21,920 --> 00:27:26,680
Speaker 1: pro collective, collective bargaining, collective action on board wew yes.

526
00:27:26,760 --> 00:27:28,119
Speaker 1: But it's the fact is it has to take some

527
00:27:28,160 --> 00:27:29,760
Speaker 1: culture war stuff in order to do so. In the

528
00:27:29,760 --> 00:27:31,399
Speaker 1: moment we start talking about wages, then I think we're

529
00:27:31,400 --> 00:27:32,879
Speaker 1: gonna be a little bit different. Yes, And it's the

530
00:27:32,920 --> 00:27:35,160
Speaker 1: same thing we have like Rubio and the Amazon thing

531
00:27:35,200 --> 00:27:37,639
Speaker 1: where he's like, well I don't really like worker power,

532
00:27:37,720 --> 00:27:40,119
Speaker 1: but let's push back against a wo HR department. But

533
00:27:40,160 --> 00:27:42,960
Speaker 1: I also saw a liberal tasket acknowledgement that this was

534
00:27:43,000 --> 00:27:46,040
Speaker 1: and they were like, how dare these Southwest pilots? You know?

535
00:27:46,080 --> 00:27:47,520
Speaker 1: And it's like, okay, well I thought you were for

536
00:27:47,640 --> 00:27:51,720
Speaker 1: collective action. So here's the deal. Collective action generally good.

537
00:27:52,080 --> 00:27:54,760
Speaker 1: Is that exactly what's happening here? We don't know that,

538
00:27:54,960 --> 00:27:58,240
Speaker 1: that's the simple answer. I have seen multiple pieces of

539
00:27:58,320 --> 00:28:03,119
Speaker 1: anecdotal ens, but that doesn't translate to the absolute reason.

540
00:28:03,200 --> 00:28:05,679
Speaker 1: So I saw a photo of a don't tread on

541
00:28:05,760 --> 00:28:07,800
Speaker 1: Me flag that was hanging out of a Southwest thing.

542
00:28:08,040 --> 00:28:10,400
Speaker 1: Like I said, lots of text messages, lots of anecdotal

543
00:28:10,440 --> 00:28:13,320
Speaker 1: evidence from people who are pilots themselves, who are spoken

544
00:28:13,359 --> 00:28:16,000
Speaker 1: with people who are Southwest pilots. And also there's a

545
00:28:16,080 --> 00:28:19,720
Speaker 1: video of a Southwest pilot himself who is explicitly saying

546
00:28:19,760 --> 00:28:22,040
Speaker 1: this is the reason, but then his union is saying

547
00:28:22,080 --> 00:28:25,160
Speaker 1: that it's not. Now there could be legal play at

548
00:28:25,160 --> 00:28:27,240
Speaker 1: work here in terms of what they do acknowledge a

549
00:28:27,280 --> 00:28:30,680
Speaker 1: stick out, they could be fired, vacation time docked, all

550
00:28:30,760 --> 00:28:32,879
Speaker 1: of that. That was another reason that I saw that

551
00:28:33,000 --> 00:28:36,199
Speaker 1: this might be denied. So that's exactly what's happening here

552
00:28:36,400 --> 00:28:39,560
Speaker 1: in general, though it is interesting and we should acknowledge this.

553
00:28:39,640 --> 00:28:42,080
Speaker 1: I did an entire monologue saying that it was possible

554
00:28:42,240 --> 00:28:44,840
Speaker 1: that forty percent of the people who are unvaccinated would

555
00:28:44,880 --> 00:28:47,120
Speaker 1: quit if they were required to get a vaccine, and

556
00:28:47,160 --> 00:28:49,200
Speaker 1: that just doesn't seem to be the case, and I

557
00:28:49,240 --> 00:28:51,440
Speaker 1: think we should acknowledge that. Let's put this up there

558
00:28:51,480 --> 00:28:53,800
Speaker 1: from NPR News, which is that, you know, the most

559
00:28:53,800 --> 00:28:56,760
Speaker 1: recent research that we've seen in terms of places private

560
00:28:56,760 --> 00:29:01,040
Speaker 1: employers in particular that have vaccine mandate show that actually

561
00:29:01,400 --> 00:29:02,880
Speaker 1: very few of the people who said that they were

562
00:29:02,920 --> 00:29:05,760
Speaker 1: going to quit actually quit their jobs. Now, I mean

563
00:29:05,840 --> 00:29:07,680
Speaker 1: it does kind of make sense, right, Crystal, which is

564
00:29:07,720 --> 00:29:10,479
Speaker 1: that by mid June, the percentage at least in Houston

565
00:29:10,520 --> 00:29:12,600
Speaker 1: mess that is hospital, which kind of was one of

566
00:29:12,600 --> 00:29:14,880
Speaker 1: the more higher places where a lot of healthcare staff

567
00:29:15,000 --> 00:29:16,640
Speaker 1: didn't want to get vaccinated. Yeah, it was like a

568
00:29:16,640 --> 00:29:18,760
Speaker 1: lot of a time. Two to three percent at the

569
00:29:18,800 --> 00:29:20,880
Speaker 1: end of the day of the people who were actually

570
00:29:20,880 --> 00:29:24,239
Speaker 1: fired or resigned, that's two to three percent of their

571
00:29:24,360 --> 00:29:26,640
Speaker 1: entire workforce. Yes, I guess it does make sense when

572
00:29:26,640 --> 00:29:28,760
Speaker 1: we're going to make people pick right. Out of twenty

573
00:29:28,800 --> 00:29:33,600
Speaker 1: five thousand workers, only one hundred and fifty three were

574
00:29:33,640 --> 00:29:38,040
Speaker 1: ultimately fired, right, which is way fewer than what was

575
00:29:38,080 --> 00:29:41,400
Speaker 1: initially expected. And Yeah, like you said, we were seeing

576
00:29:41,400 --> 00:29:44,080
Speaker 1: these pull numbers that were like, oh, fifty that unvaccinated

577
00:29:44,160 --> 00:29:46,560
Speaker 1: say they'll just quit. People were talking a big game,

578
00:29:46,600 --> 00:29:48,600
Speaker 1: but when it came down to it and their job

579
00:29:48,680 --> 00:29:51,160
Speaker 1: was at risk. Look, you know, if you've got a

580
00:29:51,280 --> 00:29:54,560
Speaker 1: job that you like, it's pretty We know the way

581
00:29:54,600 --> 00:29:58,360
Speaker 1: that threatening someone's employment can be a very powerful incentive

582
00:29:58,400 --> 00:30:01,000
Speaker 1: for better or for worse. And I even sort of

583
00:30:01,000 --> 00:30:04,600
Speaker 1: feel that way if this quote unquote stick out is

584
00:30:04,920 --> 00:30:09,480
Speaker 1: regarding vaccine mandates. Like, collective action means you actually like

585
00:30:09,760 --> 00:30:13,000
Speaker 1: come out, you make a demand, you stand in solidarity,

586
00:30:13,480 --> 00:30:16,520
Speaker 1: and you try to you know, affect change doing it

587
00:30:16,560 --> 00:30:18,200
Speaker 1: in this kind of like, well, I don't really want

588
00:30:18,240 --> 00:30:20,600
Speaker 1: to get in trouble. I'm just gonna like, I'll post

589
00:30:20,600 --> 00:30:23,560
Speaker 1: something on Instagram, but I'm really going to keep it quiet.

590
00:30:24,200 --> 00:30:25,640
Speaker 1: I mean, first of all, you're not going to get

591
00:30:25,640 --> 00:30:28,840
Speaker 1: what you want because if you aren't launching a clear,

592
00:30:29,040 --> 00:30:33,360
Speaker 1: direct protest with potential consequences to the company, then it's

593
00:30:33,360 --> 00:30:36,240
Speaker 1: not going to ultimately work out. But yeah, I mean

594
00:30:36,640 --> 00:30:39,240
Speaker 1: you have to be willing to take those risks, and

595
00:30:38,880 --> 00:30:43,400
Speaker 1: we're seeing workers across the country that are taking gigantic risks.

596
00:30:43,400 --> 00:30:47,240
Speaker 1: We're going to talk to Joanah Furman about this. Who

597
00:30:47,560 --> 00:30:50,200
Speaker 1: you know, Listen, the cost shouldn't be so high for

598
00:30:50,360 --> 00:30:53,760
Speaker 1: workers to take a stand and stand up for what's right.

599
00:30:54,120 --> 00:30:56,320
Speaker 1: But you see workers across the country who do have

600
00:30:56,440 --> 00:30:59,680
Speaker 1: very clear list of demands, who are taking collective action

601
00:30:59,720 --> 00:31:02,760
Speaker 1: in ste solidarity. So there is a model for how

602
00:31:02,760 --> 00:31:05,920
Speaker 1: to do this and ultimately, you know, have success versus

603
00:31:05,920 --> 00:31:08,520
Speaker 1: a company. I don't think they're ultimately going to get

604
00:31:08,520 --> 00:31:12,120
Speaker 1: their way, especially because part of why Southwest put these

605
00:31:12,120 --> 00:31:14,600
Speaker 1: mandates in place so quickly is because it is coming

606
00:31:14,600 --> 00:31:17,640
Speaker 1: from the government. They are federal government contractors, so they

607
00:31:17,680 --> 00:31:20,600
Speaker 1: have to abide by what's been laid out by the

608
00:31:20,600 --> 00:31:23,040
Speaker 1: federal governments. That's a good point. And yeah, so look, guys,

609
00:31:23,080 --> 00:31:24,880
Speaker 1: if you are if that's what you're doing, you should

610
00:31:24,880 --> 00:31:26,880
Speaker 1: come out and say so so that I can cover it.

611
00:31:26,960 --> 00:31:29,520
Speaker 1: So we thought about it, and so then the news

612
00:31:29,520 --> 00:31:33,520
Speaker 1: can stop debunking or not debunking, and everybody has to

613
00:31:33,560 --> 00:31:36,040
Speaker 1: rely on what some dude on Twitter is saying, which

614
00:31:36,200 --> 00:31:37,880
Speaker 1: I want to go ahead and say is not the

615
00:31:37,920 --> 00:31:40,360
Speaker 1: optimum way that any of this should be spreading. So

616
00:31:40,400 --> 00:31:42,320
Speaker 1: there we go. Hey, so remember how we told you

617
00:31:42,360 --> 00:31:45,480
Speaker 1: how awesome premium membership was, Well, here we are again

618
00:31:45,520 --> 00:31:48,080
Speaker 1: to remind you that becoming a premium member means you

619
00:31:48,160 --> 00:31:50,720
Speaker 1: don't have to listen to our constant please for you

620
00:31:50,880 --> 00:31:53,480
Speaker 1: to subscribe. So what are you waiting for? Become a

621
00:31:53,520 --> 00:31:56,480
Speaker 1: premium member today by going to Breakingpoints dot com, which

622
00:31:56,520 --> 00:31:59,760
Speaker 1: you can click on in the show notes. Indeed, all right,

623
00:32:00,200 --> 00:32:04,040
Speaker 1: turned to my home state of Virginia, the Great Commonwealth

624
00:32:04,080 --> 00:32:11,440
Speaker 1: of Virginia. Intense gubernatorial race fully in swing now Terry mccaulliffe,

625
00:32:11,440 --> 00:32:16,440
Speaker 1: who was the potentially once in future governor versus Glenn Youngkin,

626
00:32:16,560 --> 00:32:20,800
Speaker 1: who's this kind of like businessman who is trying to

627
00:32:20,920 --> 00:32:25,520
Speaker 1: walk this very this tightrope of pealing to the Trump base.

628
00:32:25,840 --> 00:32:28,920
Speaker 1: But also his vibe is very just like suburban dead

629
00:32:29,120 --> 00:32:32,200
Speaker 1: sort of like, you know, not too threatening, and it

630
00:32:32,240 --> 00:32:34,280
Speaker 1: seems to be working out pretty well for him so far,

631
00:32:34,520 --> 00:32:36,880
Speaker 1: at least in terms of the polling is fairly tight

632
00:32:36,960 --> 00:32:39,120
Speaker 1: in a state that Joe Biden won by ten points,

633
00:32:39,160 --> 00:32:41,840
Speaker 1: in a state where all of the state wide elected

634
00:32:41,880 --> 00:32:45,360
Speaker 1: officials today are Democrats, where the Democrats hold the House

635
00:32:45,400 --> 00:32:47,800
Speaker 1: of Delegates, that's the lower house, and the state Senate.

636
00:32:48,200 --> 00:32:50,760
Speaker 1: So for the race to be this close at this

637
00:32:50,880 --> 00:32:54,960
Speaker 1: point already, that should be warning signs for Democrats. And

638
00:32:55,000 --> 00:33:01,200
Speaker 1: you know, Terry mccalliffe not my favorite politician, but he

639
00:33:01,240 --> 00:33:03,920
Speaker 1: does have a tendency of like being pretty direct about

640
00:33:03,960 --> 00:33:06,440
Speaker 1: what's really going on, and some of the problems he's

641
00:33:06,480 --> 00:33:08,800
Speaker 1: facing uphill battle in the state of Virginia is a

642
00:33:08,840 --> 00:33:12,480
Speaker 1: little too honest this moment. Maybe on a recent zoom

643
00:33:12,600 --> 00:33:14,040
Speaker 1: let's take a listen to what he had to say,

644
00:33:14,680 --> 00:33:17,560
Speaker 1: but we got to get Democrats out to vote. We

645
00:33:17,640 --> 00:33:20,320
Speaker 1: are facing a lot of headwinds from Washington. As you know,

646
00:33:20,440 --> 00:33:24,520
Speaker 1: the president is unpopular today, unfortunately here in Virginia. So

647
00:33:24,640 --> 00:33:30,360
Speaker 1: we have got to plow through. Yike, president is unpopular today,

648
00:33:30,560 --> 00:33:35,640
Speaker 1: unfortunately in Virginia, a state he won by ten points.

649
00:33:36,160 --> 00:33:38,680
Speaker 1: Not a good sign for Terry mccaff But I think

650
00:33:38,680 --> 00:33:42,760
Speaker 1: he's right in that. Listen, politics are national. That's why

651
00:33:42,800 --> 00:33:46,640
Speaker 1: these races like in Virginia, California, other places, why they

652
00:33:46,680 --> 00:33:49,600
Speaker 1: matter because they show you a little bit, a little

653
00:33:49,880 --> 00:33:54,040
Speaker 1: like snapshot of what the national mood potentially is. And

654
00:33:54,120 --> 00:33:57,480
Speaker 1: so he knows very much that his faith is tied

655
00:33:57,520 --> 00:34:02,000
Speaker 1: to the popularity and the enthusiaiasm for the Democratic Party

656
00:34:02,360 --> 00:34:06,440
Speaker 1: nationwide and of course specifically in the state of Virginia.

657
00:34:06,640 --> 00:34:09,040
Speaker 1: We've got a Washington Post article we can throw here

658
00:34:09,120 --> 00:34:11,400
Speaker 1: up on the screen as well, breaking down the race.

659
00:34:11,800 --> 00:34:14,160
Speaker 1: You know, there was an interesting thing here because they

660
00:34:14,440 --> 00:34:17,239
Speaker 1: talk about there it is. So this is from Josh

661
00:34:17,320 --> 00:34:20,160
Speaker 1: krash Hour. He says he's talking about the Washington Post article.

662
00:34:20,520 --> 00:34:23,360
Speaker 1: Bruce Carlson considers himself mainly a Democrat. He voted for

663
00:34:23,400 --> 00:34:25,920
Speaker 1: Terry McCall back in twenty thirteen, but he is switching

664
00:34:25,920 --> 00:34:28,480
Speaker 1: over to the Republican Glen Youngkin because he believes public

665
00:34:28,520 --> 00:34:32,120
Speaker 1: schools are pushing a radical agenda. What this article gets

666
00:34:32,160 --> 00:34:35,200
Speaker 1: into really is that Republicans have hit on a few

667
00:34:35,239 --> 00:34:39,759
Speaker 1: issues that are very energizing to their base, absolutely, and

668
00:34:40,080 --> 00:34:44,200
Speaker 1: Democrats are hoping that the sort of threat of Trump

669
00:34:44,920 --> 00:34:48,800
Speaker 1: is enough to scare their people into showing up again

670
00:34:48,840 --> 00:34:53,160
Speaker 1: for them, into keeping those suburban voters in their coalition.

671
00:34:53,800 --> 00:34:57,480
Speaker 1: And I don't know the answer. It's a real open question. Mark.

672
00:34:57,520 --> 00:34:59,160
Speaker 1: I think in California, at the end of the day,

673
00:34:59,160 --> 00:35:01,560
Speaker 1: it did work. I think, especially with that you know,

674
00:35:02,239 --> 00:35:04,960
Speaker 1: radical Texas abortion law passing, that gave them a clear

675
00:35:05,000 --> 00:35:08,440
Speaker 1: example to say, like, look, this could happen in California.

676
00:35:08,520 --> 00:35:10,399
Speaker 1: It really couldn't have, but anyway, that's what they said,

677
00:35:10,400 --> 00:35:13,279
Speaker 1: and people believed it. And they had a candidate in

678
00:35:13,520 --> 00:35:15,840
Speaker 1: Larry Elder who was pretty you know, he'd said a

679
00:35:15,880 --> 00:35:18,120
Speaker 1: lot of stuff and was like very hardcore right wing.

680
00:35:18,120 --> 00:35:19,919
Speaker 1: In a state of California where it's not a good

681
00:35:19,960 --> 00:35:24,759
Speaker 1: match in Virginia, you have a candidate who puts off

682
00:35:24,800 --> 00:35:28,239
Speaker 1: the vibes of like very you know, center of the road,

683
00:35:28,360 --> 00:35:32,120
Speaker 1: reasonable Republican and so it makes it a lot harder

684
00:35:32,160 --> 00:35:34,959
Speaker 1: to kind of freak people out in the same exact way.

685
00:35:35,160 --> 00:35:38,799
Speaker 1: And then the part of this Washington Post article that

686
00:35:38,840 --> 00:35:41,319
Speaker 1: I thought was really interesting, As I said, listen, it's

687
00:35:41,400 --> 00:35:42,920
Speaker 1: kind of obvious to say, but it's going to come

688
00:35:42,960 --> 00:35:46,560
Speaker 1: down to enthusiasm. So what are the indications of which

689
00:35:46,560 --> 00:35:49,720
Speaker 1: side is more enthusiastic. Is it the early voting numbers

690
00:35:49,719 --> 00:35:52,560
Speaker 1: that show far more people casting ballot so far, especially

691
00:35:52,560 --> 00:35:55,439
Speaker 1: in Democrat having northern Virginia then did at this point

692
00:35:55,520 --> 00:35:57,319
Speaker 1: four years ago, so that would be a good sign

693
00:35:57,320 --> 00:36:00,120
Speaker 1: for Democrats. Is it the slight edge mccove hold on

694
00:36:00,160 --> 00:36:02,720
Speaker 1: several recent surveys, or is it the finn margin Youngkin

695
00:36:02,840 --> 00:36:05,279
Speaker 1: has and a couple of polls measuring the depth of

696
00:36:05,360 --> 00:36:08,000
Speaker 1: voter interest in the race. And that is really the

697
00:36:08,040 --> 00:36:11,480
Speaker 1: thing that Republicans have been hanging their hat on. Is

698
00:36:11,520 --> 00:36:14,560
Speaker 1: their side is a lot more engaged, more likely to

699
00:36:14,560 --> 00:36:16,120
Speaker 1: say they're going to come out and vote in all

700
00:36:16,160 --> 00:36:18,840
Speaker 1: of those things. Absolutely, and you know, reading this article,

701
00:36:18,920 --> 00:36:21,400
Speaker 1: I mean, look, and again this is totally anecdotal. I

702
00:36:21,440 --> 00:36:23,960
Speaker 1: was out in Harrisonburg, Virginia, and then the week before

703
00:36:24,000 --> 00:36:26,160
Speaker 1: that I was in Loudon County, which is you know somewhat,

704
00:36:26,760 --> 00:36:28,960
Speaker 1: I'm like exurban, right, yeah, And there were a lot

705
00:36:29,000 --> 00:36:32,279
Speaker 1: of Youngkin signs a lot, and once again, signs is

706
00:36:32,560 --> 00:36:35,880
Speaker 1: generally more of a thing of enthusiasm, but there was

707
00:36:35,920 --> 00:36:38,799
Speaker 1: seemed to be a lot of enthusiasm, especially amongst people

708
00:36:38,840 --> 00:36:43,480
Speaker 1: who can either be more disproportionately Republican or a little

709
00:36:43,480 --> 00:36:45,600
Speaker 1: bit more on the fence and what you're reading here.

710
00:36:45,840 --> 00:36:48,560
Speaker 1: And actually I also saw an ad from Terry mcculliffe

711
00:36:48,640 --> 00:36:50,720
Speaker 1: while I was there on television and it was exactly

712
00:36:50,719 --> 00:36:52,279
Speaker 1: what you think Bristol. It was just Trump. It was

713
00:36:52,320 --> 00:36:54,520
Speaker 1: like he said Trump's name like four times and at

714
00:36:54,520 --> 00:36:56,080
Speaker 1: the end it was like, I'm Terry mccalliff and I

715
00:36:56,160 --> 00:36:58,680
Speaker 1: endorsed this message. And it was like an audio recording

716
00:36:58,680 --> 00:37:01,600
Speaker 1: of Glenn Youngkin saying something good about Trump, about how

717
00:37:01,640 --> 00:37:03,399
Speaker 1: he was like a good force and I'm sure he's

718
00:37:03,440 --> 00:37:06,560
Speaker 1: going to regret that come election day if he does lose.

719
00:37:06,800 --> 00:37:08,840
Speaker 1: But more and more what you see in here and

720
00:37:08,920 --> 00:37:12,600
Speaker 1: even the headline of that story, emotions flare over Trump,

721
00:37:12,920 --> 00:37:15,920
Speaker 1: COVID and race. Here's the deal. Does Trump, COVID and

722
00:37:16,000 --> 00:37:18,680
Speaker 1: race have anything to do with the state of Virginia

723
00:37:19,040 --> 00:37:21,759
Speaker 1: and actual politics? What is the Virginia governor going to

724
00:37:21,840 --> 00:37:24,760
Speaker 1: do about that? Maybe on COVID, but even then, Virginia

725
00:37:24,800 --> 00:37:26,919
Speaker 1: is not that strict on COVID, you know, even under

726
00:37:27,000 --> 00:37:29,880
Speaker 1: Ralph Northam. Yeah, let's be honest. And you look at

727
00:37:29,880 --> 00:37:32,840
Speaker 1: that and you're like, wow, it is just purely a

728
00:37:32,920 --> 00:37:36,680
Speaker 1: national election. This is the true barometer about what's going

729
00:37:36,760 --> 00:37:39,160
Speaker 1: to happen. And Terry mccaulliffe, you know, kind of what

730
00:37:39,239 --> 00:37:42,600
Speaker 1: to what you were saying earlier, he is begging Congress

731
00:37:42,640 --> 00:37:45,040
Speaker 1: to actually pass something. So let's put this up there

732
00:37:45,280 --> 00:37:48,320
Speaker 1: from the hell, which is that In a more recent speech,

733
00:37:48,719 --> 00:37:51,440
Speaker 1: he gave an interview and he was like, listen, I

734
00:37:51,560 --> 00:37:55,880
Speaker 1: need Congress to pass this infrastructure bill or something because

735
00:37:55,960 --> 00:37:59,680
Speaker 1: I need to show voters that Democrats are actually doing

736
00:37:59,719 --> 00:38:03,920
Speaker 1: something thing in the House or sorry, in Congress. He's like,

737
00:38:04,000 --> 00:38:06,960
Speaker 1: we have got major frustration with Washington. And part of

738
00:38:07,000 --> 00:38:09,880
Speaker 1: the problem is that he wants people to do that

739
00:38:09,960 --> 00:38:12,800
Speaker 1: because he can see the frustration on the ground amongst

740
00:38:12,840 --> 00:38:15,920
Speaker 1: some of the Democrats who voted for Joe Biden and

741
00:38:15,960 --> 00:38:19,600
Speaker 1: for the Democrats themselves who are not passing anything. So

742
00:38:20,280 --> 00:38:22,880
Speaker 1: what Youngkin all he has to do is stand in

743
00:38:22,960 --> 00:38:26,840
Speaker 1: opposition to these like macro political forces. McAuliffe is in

744
00:38:27,400 --> 00:38:30,640
Speaker 1: the way trying to validate himself on Joe Biden's and

745
00:38:31,080 --> 00:38:33,560
Speaker 1: given the fact that a campaigns so hard for Biden

746
00:38:33,560 --> 00:38:36,960
Speaker 1: in Virginia, he raised millions of dollars, I mean, and

747
00:38:37,040 --> 00:38:39,960
Speaker 1: now launching himself into this, he is really having to

748
00:38:39,960 --> 00:38:42,279
Speaker 1: try and ride the Biden coattails. And look, he said

749
00:38:42,320 --> 00:38:45,560
Speaker 1: it himself. The president is unpopular in the state of Virginia.

750
00:38:45,600 --> 00:38:47,520
Speaker 1: And part of it, it seems to be for Democrats,

751
00:38:47,600 --> 00:38:50,160
Speaker 1: is their piss if nobody nothing is passing in Congress.

752
00:38:50,560 --> 00:38:53,200
Speaker 1: It's a type of race that I absolutely hate because

753
00:38:53,239 --> 00:38:57,920
Speaker 1: you have two standard issue corporate politicians. Neither one of

754
00:38:58,000 --> 00:39:00,480
Speaker 1: them is going to govern all that differently. I mean, look,

755
00:39:00,480 --> 00:39:02,400
Speaker 1: full disclosure, I'm go to vote for Terry mccalf if

756
00:39:02,400 --> 00:39:06,839
Speaker 1: I live in the state of Virginia. Whatever. But you know, ultimately,

757
00:39:07,320 --> 00:39:10,120
Speaker 1: rather than really focusing on, hey, here's what we're going

758
00:39:10,200 --> 00:39:12,719
Speaker 1: to do for the state, this race all turns on

759
00:39:12,800 --> 00:39:15,640
Speaker 1: who can freak their own side out more, who can

760
00:39:15,719 --> 00:39:19,440
Speaker 1: make this the most existential, who can scare their people

761
00:39:19,840 --> 00:39:23,160
Speaker 1: in showing up to vote. So it's a very uninspiring

762
00:39:23,680 --> 00:39:27,000
Speaker 1: sort of a contest here. Ultimately, but I do want

763
00:39:27,040 --> 00:39:29,839
Speaker 1: to very strongly defend Terry mccaff on one particular thing

764
00:39:29,840 --> 00:39:31,920
Speaker 1: that he is taking heat for. Oh, let's say this

765
00:39:32,040 --> 00:39:34,359
Speaker 1: media article up on the screen. Okay, so they're trying

766
00:39:34,360 --> 00:39:37,680
Speaker 1: to paint him like a hypocrite for calling out Young

767
00:39:37,800 --> 00:39:39,520
Speaker 1: Ken has kind of played a little bit of footsy

768
00:39:39,600 --> 00:39:41,680
Speaker 1: with the stop this steal stuff. Always really focused on

769
00:39:41,719 --> 00:39:45,399
Speaker 1: election integrity, et cetera, et cetera, And so Dana Bash

770
00:39:45,440 --> 00:39:48,600
Speaker 1: asked them, well, listen, you said that Republicans stole the

771
00:39:48,640 --> 00:39:52,799
Speaker 1: two thousand election. So isn't this hypocrisy? And he's like, no,

772
00:39:53,520 --> 00:39:57,800
Speaker 1: because actually there are some this is my this is

773
00:39:57,880 --> 00:39:59,759
Speaker 1: my version of it. But he would not back down

774
00:39:59,760 --> 00:40:02,600
Speaker 1: on this, which I fully support. It is not the same. Okay,

775
00:40:03,120 --> 00:40:06,600
Speaker 1: Bush had his brother as governor of Florida. The Supreme

776
00:40:06,600 --> 00:40:09,719
Speaker 1: Court made them stop counting the ballots, and ultimately, when

777
00:40:09,760 --> 00:40:11,960
Speaker 1: the ballots were all counting, Al Gore did get more

778
00:40:12,040 --> 00:40:15,319
Speaker 1: votes in state of Florida. So whether you buy that,

779
00:40:15,400 --> 00:40:17,520
Speaker 1: you know, it was completely like it should have been

780
00:40:17,560 --> 00:40:20,279
Speaker 1: Gore and it ended up being Bush. Clearly, there were

781
00:40:20,280 --> 00:40:23,759
Speaker 1: some issues there that made it a true like contest

782
00:40:23,920 --> 00:40:27,120
Speaker 1: and true actual conspiracy when you consider all the players

783
00:40:27,480 --> 00:40:30,400
Speaker 1: that Bush had on his side in the system. You had,

784
00:40:30,440 --> 00:40:33,359
Speaker 1: remember the Brooks Brothers, Riots and all of this, all

785
00:40:33,400 --> 00:40:36,959
Speaker 1: of this nonsense. So I fully support and defend Erriky

786
00:40:37,040 --> 00:40:40,320
Speaker 1: mccauliff on these particular comments. He is right, Bush stole

787
00:40:40,360 --> 00:40:43,520
Speaker 1: the two thousand election. That does not mean that Trump,

788
00:40:44,120 --> 00:40:46,239
Speaker 1: you know, was robbed in this election. Just because one

789
00:40:46,239 --> 00:40:50,320
Speaker 1: election was a problem doesn't mean all elections were ultimately problems.

790
00:40:50,360 --> 00:40:51,879
Speaker 1: So there you go. I'm gonna enjoy seeing that clip

791
00:40:51,920 --> 00:40:56,040
Speaker 1: on social media from now on. All right, inequality, what

792
00:40:56,080 --> 00:40:58,560
Speaker 1: do we got here? Okay, so some new numbers that

793
00:40:58,680 --> 00:41:01,440
Speaker 1: are pretty stunning for the first time ever. Let's go

794
00:41:01,440 --> 00:41:03,359
Speaker 1: ahead and throw this tweet up on the screen from

795
00:41:03,600 --> 00:41:08,040
Speaker 1: fantastic economist Gabriel Zerckman. He says America's middle class now

796
00:41:08,040 --> 00:41:11,360
Speaker 1: holds a smaller share of wealth than the top one percent.

797
00:41:11,440 --> 00:41:13,959
Speaker 1: The middle sixty percent by income sot's wealth share dropped

798
00:41:14,000 --> 00:41:16,560
Speaker 1: to twenty six point six percent of national wealth. That

799
00:41:16,640 --> 00:41:20,759
Speaker 1: is the lowest level on record. So this is the

800
00:41:20,800 --> 00:41:25,520
Speaker 1: first time ever that you have the middle class so

801
00:41:25,960 --> 00:41:29,399
Speaker 1: celebrated in America. That's what America is all about, is

802
00:41:29,440 --> 00:41:33,520
Speaker 1: this strong and vibrant middle class with the idea that

803
00:41:33,560 --> 00:41:36,120
Speaker 1: anybody who plays by the rules, who works hard, can

804
00:41:36,160 --> 00:41:39,640
Speaker 1: make it into that middle class now has less wealth

805
00:41:40,120 --> 00:41:42,800
Speaker 1: sixty percent of the country. Okay, the middle sixty percent

806
00:41:43,239 --> 00:41:47,960
Speaker 1: has less wealth than the top one percent of Americans.

807
00:41:48,800 --> 00:41:52,560
Speaker 1: This is an incredibly dire sign of where the economy

808
00:41:52,600 --> 00:41:56,400
Speaker 1: is headed. And every single crisis, whether it was the

809
00:41:56,440 --> 00:42:01,279
Speaker 1: financial crisis, whether it was COVID, every single one of

810
00:42:01,320 --> 00:42:06,160
Speaker 1: them just serves to transfer transfer more and more wealth

811
00:42:06,200 --> 00:42:10,200
Speaker 1: to the very tippy top. So when you think about

812
00:42:10,320 --> 00:42:13,319
Speaker 1: why politics have been so wild and you see these

813
00:42:13,320 --> 00:42:16,600
Speaker 1: big swings back and forth and people feeling so despondent

814
00:42:16,680 --> 00:42:19,319
Speaker 1: about the future of the country, these are the type

815
00:42:19,360 --> 00:42:22,560
Speaker 1: of numbers that really tell the tale of what's going

816
00:42:22,600 --> 00:42:25,840
Speaker 1: on in this nation and why people feel that sense

817
00:42:25,840 --> 00:42:28,560
Speaker 1: of decline, feel that sense of despair while you see

818
00:42:28,560 --> 00:42:32,279
Speaker 1: things like you know, suicides up and addiction and all

819
00:42:32,320 --> 00:42:35,759
Speaker 1: of these indications that things are not going well in

820
00:42:35,800 --> 00:42:40,919
Speaker 1: this country. Numbers like this helped to explain that larger picture. Yeah,

821
00:42:40,960 --> 00:42:43,040
Speaker 1: and it's interesting, you know, and when and you can

822
00:42:43,239 --> 00:42:45,480
Speaker 1: actually go and you can pull the data, which is

823
00:42:45,520 --> 00:42:49,000
Speaker 1: that the middle sixty percent of the US households saw

824
00:42:49,040 --> 00:42:52,320
Speaker 1: their combined assets drop to twenty six point six percent

825
00:42:52,320 --> 00:42:55,000
Speaker 1: of that national wealth, where all the super rich had

826
00:42:55,000 --> 00:42:58,080
Speaker 1: that twenty seven. So you know that first kind of changeover.

827
00:42:58,400 --> 00:43:00,960
Speaker 1: But what's really remarkable to me is that there are

828
00:43:01,200 --> 00:43:05,680
Speaker 1: seventy seven point five million families in the middle of

829
00:43:05,760 --> 00:43:09,799
Speaker 1: sixty percent that make between twenty seven thousand to one

830
00:43:09,880 --> 00:43:12,200
Speaker 1: hundred and forty one thousand dollars annually. Now, look, I

831
00:43:12,200 --> 00:43:15,080
Speaker 1: would not consider twenty seven thousand middle class whatsoever, So

832
00:43:15,120 --> 00:43:17,640
Speaker 1: I don't exactly know if that's the correct one, but

833
00:43:17,960 --> 00:43:20,080
Speaker 1: that's what the Census Bureau in the United States says,

834
00:43:20,120 --> 00:43:23,080
Speaker 1: maybe in like Tempe, Arizona or something like that, we're

835
00:43:23,120 --> 00:43:25,839
Speaker 1: a very low cost of living. But what you can

836
00:43:25,880 --> 00:43:28,839
Speaker 1: see is that the concentration of the wealth in such

837
00:43:28,840 --> 00:43:32,120
Speaker 1: a fraction of the population is really one of the

838
00:43:32,120 --> 00:43:36,560
Speaker 1: cores of the country's political battles. I mean, think about

839
00:43:36,719 --> 00:43:40,280
Speaker 1: salt tax, like, what are the people willing in DC

840
00:43:40,560 --> 00:43:45,520
Speaker 1: to go to absolute war for Chuck Schumer, Nancy Pelosi,

841
00:43:45,640 --> 00:43:48,640
Speaker 1: Josh Geidheimer, the salt deduction, and what have we shown

842
00:43:48,680 --> 00:43:51,960
Speaker 1: you here the salt cap deduction. Yes, some people who

843
00:43:52,000 --> 00:43:54,640
Speaker 1: are middle class and I say middle with some real

844
00:43:54,680 --> 00:43:56,720
Speaker 1: asterisks here, because we're talking the two to three hundred

845
00:43:56,760 --> 00:43:59,239
Speaker 1: thousand dollars income range. I'm not saying that makes you rich,

846
00:43:59,239 --> 00:44:02,160
Speaker 1: but it definitely does make you poor. Yeah, you're gonna

847
00:44:02,160 --> 00:44:04,479
Speaker 1: get some modest benefit from that. But here's the deal.

848
00:44:04,680 --> 00:44:09,760
Speaker 1: It's overwhelmingly for the people who make over one million

849
00:44:09,880 --> 00:44:12,920
Speaker 1: dollars a year in income, which is less than like

850
00:44:13,080 --> 00:44:17,080
Speaker 1: half a million households in America. And we're comparing those

851
00:44:17,120 --> 00:44:20,840
Speaker 1: priorities to those people to seventy seven point five million.

852
00:44:21,160 --> 00:44:23,720
Speaker 1: And you actually pointed out this story. This is starting

853
00:44:23,719 --> 00:44:26,960
Speaker 1: to manifest in all sorts of really weird ways. Put

854
00:44:26,960 --> 00:44:30,400
Speaker 1: the story up there on the screen. We have now

855
00:44:30,880 --> 00:44:35,480
Speaker 1: millennials teaming up to fulfill the dream of home ownership.

856
00:44:35,719 --> 00:44:39,359
Speaker 1: So people were burdened by debt, house prices. They are

857
00:44:39,400 --> 00:44:43,920
Speaker 1: pooling their finances with partners and friends and roommates in

858
00:44:44,000 --> 00:44:46,320
Speaker 1: order to buy houses. So think about that. They're basically

859
00:44:46,480 --> 00:44:50,799
Speaker 1: entering a roommates situation in order to just buy a

860
00:44:50,840 --> 00:44:52,920
Speaker 1: house and not even really buy a house, to own

861
00:44:53,280 --> 00:44:56,080
Speaker 1: a fraction of a house. And of course that's really weird.

862
00:44:56,200 --> 00:44:58,080
Speaker 1: I mean, what if somebody wants to move and what

863
00:44:58,120 --> 00:44:59,800
Speaker 1: are they going to sell? They're part of their equity

864
00:45:00,040 --> 00:45:02,200
Speaker 1: it doesn't really make any sense. It's complicated. Yes, you're

865
00:45:02,239 --> 00:45:04,680
Speaker 1: building up some equity in the house, and God bless

866
00:45:04,680 --> 00:45:07,160
Speaker 1: you when I fully support that in terms of what

867
00:45:07,200 --> 00:45:09,040
Speaker 1: that means for what you might be able to pass down.

868
00:45:09,080 --> 00:45:11,720
Speaker 1: But shouldn't people be able to afford their own house

869
00:45:11,760 --> 00:45:15,200
Speaker 1: if they want to? I mean, it's totally crazy. Well,

870
00:45:15,560 --> 00:45:19,160
Speaker 1: and if you read this story, they painted like fun

871
00:45:19,239 --> 00:45:23,279
Speaker 1: new trend of millennials buying for their best friends, as

872
00:45:23,280 --> 00:45:26,160
Speaker 1: if this is just like a new choice that's being made.

873
00:45:26,520 --> 00:45:30,120
Speaker 1: Maybe for some people, sure, but for most And this

874
00:45:30,200 --> 00:45:33,040
Speaker 1: is what we see underlying a lot of the trends

875
00:45:33,239 --> 00:45:37,000
Speaker 1: of different ways millennials are approaching their lives, whether it's

876
00:45:37,040 --> 00:45:39,040
Speaker 1: when they're getting married and how many kids they're having,

877
00:45:39,200 --> 00:45:41,200
Speaker 1: or whether they're buying a house with their friend instead

878
00:45:41,239 --> 00:45:43,719
Speaker 1: of on their own or with a significant other. It

879
00:45:43,719 --> 00:45:46,719
Speaker 1: has a lot more to do with economic necessity than

880
00:45:46,760 --> 00:45:50,560
Speaker 1: it does like wacky new trend that these millennials are into.

881
00:45:50,600 --> 00:45:53,799
Speaker 1: And by the way, like millennials aren't young anymore. I mean,

882
00:45:54,120 --> 00:45:56,840
Speaker 1: I'm technically a millennial and I'm pushing forty, Like the

883
00:45:56,840 --> 00:46:00,360
Speaker 1: oldest millennials are forty and the youngest ones are pushing thirty. Okay,

884
00:46:00,680 --> 00:46:02,919
Speaker 1: so I'm gonna be thirty next year, You're I mean,

885
00:46:03,000 --> 00:46:05,840
Speaker 1: so you're just like, this is a group of people

886
00:46:06,120 --> 00:46:09,400
Speaker 1: who an entire generation that's just been hit with crisis

887
00:46:09,400 --> 00:46:13,040
Speaker 1: after crisis after crisis, has had no opportunity to really

888
00:46:13,080 --> 00:46:17,000
Speaker 1: build wealth. Is being wildly priced down of the housing market,

889
00:46:17,080 --> 00:46:19,680
Speaker 1: which is of course the number one way that Americans

890
00:46:19,719 --> 00:46:22,480
Speaker 1: are able to build wealth and able to achieve that

891
00:46:22,520 --> 00:46:24,880
Speaker 1: sort of like comfort and stability of a true middle

892
00:46:24,880 --> 00:46:28,359
Speaker 1: class life, and they're not able to do it. Here's

893
00:46:28,400 --> 00:46:30,919
Speaker 1: the data that backs it up. Since twenty fourteen, when

894
00:46:30,960 --> 00:46:33,480
Speaker 1: millennials became the largest share of home buyers in the US,

895
00:46:33,760 --> 00:46:36,120
Speaker 1: the number of home and condo sales across the country

896
00:46:36,120 --> 00:46:39,040
Speaker 1: by co buyers has soared. Number of co buyers with

897
00:46:39,040 --> 00:46:42,200
Speaker 1: different last names increased by seven hundred and seventy one

898
00:46:42,239 --> 00:46:46,440
Speaker 1: percent between twenty fourteen and twenty twenty one. That's according

899
00:46:46,480 --> 00:46:51,520
Speaker 1: to data from real estate analytics firm. So you know,

900
00:46:52,040 --> 00:46:55,880
Speaker 1: this is a massive changing situation. We've of course covered

901
00:46:55,880 --> 00:46:59,399
Speaker 1: here the way that housing prices have completely skyrocketed. They're

902
00:46:59,400 --> 00:47:01,200
Speaker 1: a lot of complicated reasons for that. One of that

903
00:47:01,280 --> 00:47:03,239
Speaker 1: is permanent capital getting in the game and wanting to

904
00:47:03,239 --> 00:47:06,680
Speaker 1: be America's landlord and driving prices up even more and

905
00:47:06,680 --> 00:47:12,359
Speaker 1: making them even more unaffordable. But that inability to buy

906
00:47:12,400 --> 00:47:15,000
Speaker 1: a home. I wish there were more paths to wealth

907
00:47:15,040 --> 00:47:18,640
Speaker 1: creation for Americans, but that has been the traditional path

908
00:47:19,239 --> 00:47:23,480
Speaker 1: and it is increasingly out of reach for millennials. And

909
00:47:23,560 --> 00:47:25,080
Speaker 1: I don't think gen Z is going to be in

910
00:47:25,160 --> 00:47:27,000
Speaker 1: much of a better place. Oh, absolutely not. You know

911
00:47:27,000 --> 00:47:29,480
Speaker 1: I covered yesterday. I wish you've been here for a

912
00:47:29,520 --> 00:47:32,920
Speaker 1: monologue on men in America. And there's this new report

913
00:47:32,960 --> 00:47:36,920
Speaker 1: from Pew Research which actually shows that increasing there's an

914
00:47:36,920 --> 00:47:39,919
Speaker 1: increased share of our population of single males, and that

915
00:47:39,920 --> 00:47:42,880
Speaker 1: that actually has had a precipitous drop amongst that group

916
00:47:43,280 --> 00:47:46,880
Speaker 1: thirty percent actually in their terms of their real wages

917
00:47:46,880 --> 00:47:49,239
Speaker 1: from the year nineteen ninety. And the way that that

918
00:47:49,360 --> 00:47:52,359
Speaker 1: drops contributes to all sorts of bad outcomes in terms

919
00:47:52,400 --> 00:47:54,920
Speaker 1: of how they actually live less long, or they have

920
00:47:55,000 --> 00:48:00,000
Speaker 1: worse health outcomes that leads to lower wages, less college attained,

921
00:48:00,560 --> 00:48:04,280
Speaker 1: living with your parents long, all sorts of bad societal things.

922
00:48:04,400 --> 00:48:07,560
Speaker 1: Drug use, every almost everything is completely all the way

923
00:48:07,640 --> 00:48:09,759
Speaker 1: up whenever you look at it, and it's part of

924
00:48:09,800 --> 00:48:12,239
Speaker 1: the same thing, and actually I got a tremendous amount

925
00:48:12,239 --> 00:48:14,480
Speaker 1: of feedback. I really didn't even expect it in terms

926
00:48:14,520 --> 00:48:16,279
Speaker 1: of this, and a lot of people were like, what

927
00:48:16,440 --> 00:48:18,800
Speaker 1: chance do I got? I got paid fifty something percent

928
00:48:18,800 --> 00:48:21,400
Speaker 1: of my income and rent, I can't afford college, I

929
00:48:21,440 --> 00:48:23,560
Speaker 1: got credit card debt, and I work a job that

930
00:48:23,560 --> 00:48:25,839
Speaker 1: pays me eleven twenty five an hour or something like that.

931
00:48:26,280 --> 00:48:28,040
Speaker 1: I don't know I have an answer. I mean, what

932
00:48:28,200 --> 00:48:29,920
Speaker 1: do you do if you're in that situation You're like

933
00:48:29,960 --> 00:48:33,080
Speaker 1: twenty six, twenty seven years old, I mean, how are

934
00:48:33,080 --> 00:48:34,560
Speaker 1: you even supposed to take time off in order to

935
00:48:34,600 --> 00:48:36,960
Speaker 1: try and go to some sort of school that requires debt?

936
00:48:37,000 --> 00:48:39,400
Speaker 1: What if you're already been financed? And that's the situation

937
00:48:39,440 --> 00:48:41,880
Speaker 1: for a lot of people, you know, it was interesting.

938
00:48:42,160 --> 00:48:47,320
Speaker 1: People are so conditioned to the condition, the terrible way

939
00:48:47,360 --> 00:48:49,480
Speaker 1: that we have finances in the country, that when they

940
00:48:49,520 --> 00:48:51,640
Speaker 1: have a modest increase, they're like, it's great. So I

941
00:48:51,680 --> 00:48:55,879
Speaker 1: recently saw that a majority of Americans say that their

942
00:48:55,960 --> 00:48:59,480
Speaker 1: personal finances are in excellent shape, and I was like,

943
00:48:59,520 --> 00:49:02,719
Speaker 1: what house impossible? Because I know the forty something percent

944
00:49:02,760 --> 00:49:05,040
Speaker 1: of the country is a blown tire away from bankruptcy,

945
00:49:05,080 --> 00:49:08,279
Speaker 1: a single emergency away from total bankruptcy and having to

946
00:49:08,280 --> 00:49:10,600
Speaker 1: live paycheck to paycheck. Well it turns out that now

947
00:49:10,680 --> 00:49:13,160
Speaker 1: it's like they've got a little bit of savings. So

948
00:49:13,200 --> 00:49:15,799
Speaker 1: people are so conditioned to having nothing that they say

949
00:49:15,800 --> 00:49:18,280
Speaker 1: that they're in excellent financial shape if they have somewhere

950
00:49:18,320 --> 00:49:21,360
Speaker 1: between two hundred to thousand dollars in savings. What is

951
00:49:21,360 --> 00:49:22,759
Speaker 1: that going to do for you if you have a

952
00:49:22,760 --> 00:49:25,239
Speaker 1: real healthcare crisis, or if you need to buy what

953
00:49:25,280 --> 00:49:27,040
Speaker 1: if your car breaks down? Try buying a car right

954
00:49:27,040 --> 00:49:29,320
Speaker 1: now in terms of used car market, all the basic

955
00:49:29,360 --> 00:49:31,719
Speaker 1: necessities of life. And I just thought that, and I

956
00:49:31,760 --> 00:49:34,239
Speaker 1: was really struck by how even just having a couple

957
00:49:34,360 --> 00:49:36,880
Speaker 1: hundred dollars people are so conditioned to having nothing that

958
00:49:37,040 --> 00:49:39,200
Speaker 1: even just having that just means the world to a

959
00:49:39,239 --> 00:49:41,040
Speaker 1: lot of people. But it shouldn't be that way, especially

960
00:49:41,040 --> 00:49:43,600
Speaker 1: whenever you're looking at how much so many people have

961
00:49:43,640 --> 00:49:46,160
Speaker 1: made in the middle of the pandemic. In particular, this

962
00:49:46,320 --> 00:49:48,919
Speaker 1: idea back to normal is kind of like it's kind

963
00:49:48,920 --> 00:49:51,400
Speaker 1: of like a deep concept that you could really dig into,

964
00:49:51,520 --> 00:49:54,239
Speaker 1: like what does that actually mean? You know, does it mean?

965
00:49:54,440 --> 00:49:57,520
Speaker 1: Is back to normal? Like back to my only prayer

966
00:49:57,520 --> 00:50:00,640
Speaker 1: of buying houses with five of my friends, or is

967
00:50:00,680 --> 00:50:02,920
Speaker 1: back to normal, like, you know, a time when you

968
00:50:02,960 --> 00:50:07,239
Speaker 1: could actually aspire, as you know, a young person to

969
00:50:07,280 --> 00:50:09,759
Speaker 1: buy a house and have a family and afford to

970
00:50:09,800 --> 00:50:12,560
Speaker 1: go on vacation now and again and those sorts of things.

971
00:50:12,560 --> 00:50:14,680
Speaker 1: And I don't want to glorify the past, like there

972
00:50:14,920 --> 00:50:17,800
Speaker 1: have obviously been a lot of issues, especially in terms

973
00:50:17,840 --> 00:50:21,560
Speaker 1: of race and gender and all of those things. And

974
00:50:21,680 --> 00:50:25,040
Speaker 1: we've made progress there, not nearly enough progress there, but

975
00:50:25,080 --> 00:50:27,960
Speaker 1: some progress there. But there's no doubt that when you

976
00:50:27,960 --> 00:50:29,960
Speaker 1: look at these numbers, these are the worst numbers. This

977
00:50:30,120 --> 00:50:32,520
Speaker 1: is worse now than the Gilded Age, Worse than the

978
00:50:32,520 --> 00:50:35,840
Speaker 1: Gilded Age, you know, the vaunted America middle class. This

979
00:50:35,960 --> 00:50:37,800
Speaker 1: is what it's supposed to be all about. This is

980
00:50:37,840 --> 00:50:40,840
Speaker 1: what makes it so great, right, This is the driving

981
00:50:40,920 --> 00:50:44,080
Speaker 1: force why capitalism is awesome, and all of those things

982
00:50:44,680 --> 00:50:48,600
Speaker 1: is now collapsing and really has been for decades. I mean,

983
00:50:48,600 --> 00:50:52,759
Speaker 1: wages have been stagnant since the eighties. Effectively, workers are

984
00:50:52,760 --> 00:50:54,839
Speaker 1: getting like the tiniest little bit of a wage now

985
00:50:54,880 --> 00:50:57,400
Speaker 1: and everyone's melting down, freaking out over it, you know.

986
00:50:57,800 --> 00:51:01,680
Speaker 1: So it's it's a bad situation. I think it ties

987
00:51:01,719 --> 00:51:05,920
Speaker 1: back to Biden where he's at and our political situation,

988
00:51:06,160 --> 00:51:09,520
Speaker 1: because it's just this sense of you can't just tinker

989
00:51:09,560 --> 00:51:13,040
Speaker 1: around the edges. You can't just have a sort of

990
00:51:13,120 --> 00:51:17,880
Speaker 1: like a managerial approach where you're just kind of managing

991
00:51:17,880 --> 00:51:20,959
Speaker 1: the ship and you're not really changing anything, because things

992
00:51:20,960 --> 00:51:22,880
Speaker 1: have gone off the rails enough that you need a

993
00:51:22,880 --> 00:51:26,360
Speaker 1: more transformational approach. Yeah, I think that's right. Okay, this

994
00:51:26,520 --> 00:51:29,600
Speaker 1: cob both of our eyes on the COVID front. Let's

995
00:51:29,600 --> 00:51:32,239
Speaker 1: throw this tearsheet a great report from the Intercept up

996
00:51:32,280 --> 00:51:34,799
Speaker 1: on the screen. So Merk has gotten a lot of

997
00:51:34,840 --> 00:51:40,280
Speaker 1: attention recently for this potentially very effective, possibly very effective

998
00:51:41,280 --> 00:51:45,120
Speaker 1: pill to treat COVID. The numbers are very encouraging, and

999
00:51:45,320 --> 00:51:47,480
Speaker 1: it gets it in a moment the way that politics

1000
00:51:47,560 --> 00:51:49,800
Speaker 1: may have stoodn away from this pill getting proved before.

1001
00:51:49,840 --> 00:51:52,160
Speaker 1: But let's put that aside for a moment. They are

1002
00:51:52,200 --> 00:51:57,200
Speaker 1: planning to charge forty times for this thing what it

1003
00:51:57,280 --> 00:52:01,680
Speaker 1: actually cost to make. And as if that wasn't bad enough,

1004
00:52:02,480 --> 00:52:06,799
Speaker 1: guess who funded the research that went into developing this

1005
00:52:07,080 --> 00:52:11,120
Speaker 1: miracle COVID pill. Oh it was you. It was public funding.

1006
00:52:11,360 --> 00:52:13,960
Speaker 1: It was the US federal government. And now they're turning

1007
00:52:14,000 --> 00:52:18,880
Speaker 1: around and charging forty times what it costs to the

1008
00:52:19,000 --> 00:52:22,080
Speaker 1: US government that funded this thing in the first first place.

1009
00:52:22,160 --> 00:52:23,799
Speaker 1: Let me read a little bit from the article here.

1010
00:52:24,280 --> 00:52:28,200
Speaker 1: It says a five day course of mall new peyravere.

1011
00:52:28,360 --> 00:52:29,880
Speaker 1: I'm going to go with I think that's what it is.

1012
00:52:30,280 --> 00:52:32,680
Speaker 1: I was thinking about saying it. The new medicine being

1013
00:52:32,680 --> 00:52:34,960
Speaker 1: hailed as a huge advance in the treatment of COVID,

1014
00:52:35,320 --> 00:52:38,480
Speaker 1: costs seventeen dollars and seventy four cents to produce. According

1015
00:52:38,520 --> 00:52:40,760
Speaker 1: to a report issue last week by drug pricing experts

1016
00:52:40,760 --> 00:52:43,000
Speaker 1: at the Harvard School of Public Health and King's College

1017
00:52:43,000 --> 00:52:47,600
Speaker 1: Hospital in London, merk is charging the US government seven

1018
00:52:47,960 --> 00:52:52,680
Speaker 1: hundred and twelve dollars for the same amount of medicine.

1019
00:52:52,760 --> 00:52:56,440
Speaker 1: That amounts to forty times the price. Also, just so

1020
00:52:56,560 --> 00:52:58,799
Speaker 1: you know, like the government does not have to just

1021
00:52:58,840 --> 00:53:03,080
Speaker 1: sit back and take this since it was developed with

1022
00:53:03,200 --> 00:53:07,000
Speaker 1: public funding. It is a candidate for using the bi

1023
00:53:07,120 --> 00:53:09,640
Speaker 1: Dole Act and these marching rights, so they said in

1024
00:53:09,680 --> 00:53:13,280
Speaker 1: the article, the pricing differential should be grounds to demand

1025
00:53:13,280 --> 00:53:15,680
Speaker 1: a better price under the by Dole Act. According to

1026
00:53:15,680 --> 00:53:20,480
Speaker 1: Knowledge Ecology Internationals and expert there Bidle, passed in nineteen

1027
00:53:20,520 --> 00:53:23,680
Speaker 1: eighty regulates the transfer of federally funded inventions into commercial

1028
00:53:23,680 --> 00:53:26,719
Speaker 1: property and allows the government to quote march In and

1029
00:53:26,760 --> 00:53:29,040
Speaker 1: suspend the use of patents that were developed with government

1030
00:53:29,080 --> 00:53:33,080
Speaker 1: funding if it determines that the products are excessively priced.

1031
00:53:33,600 --> 00:53:36,520
Speaker 1: If not, now, when tell me that? If not now,

1032
00:53:36,560 --> 00:53:39,160
Speaker 1: when we give you the money, you develop the drug,

1033
00:53:39,600 --> 00:53:42,120
Speaker 1: you get all of the profits from it already. That's

1034
00:53:42,160 --> 00:53:44,600
Speaker 1: a good deal, and you turn right around and gouge

1035
00:53:44,640 --> 00:53:47,120
Speaker 1: the American people in faith. It's a good point, and

1036
00:53:47,160 --> 00:53:48,719
Speaker 1: this is part of the problem that we're and by

1037
00:53:48,719 --> 00:53:50,520
Speaker 1: the way, all of the data from this pill it

1038
00:53:50,560 --> 00:53:53,920
Speaker 1: looks really good. And look, I think we would be

1039
00:53:53,960 --> 00:53:55,960
Speaker 1: remiss if we didn't cover this element. I wasn't even

1040
00:53:56,000 --> 00:53:57,760
Speaker 1: aware of it until you brought it to my attention.

1041
00:53:57,920 --> 00:54:00,680
Speaker 1: But Matt Tayebi wrote a very good piece on this.

1042
00:54:00,760 --> 00:54:02,000
Speaker 1: Let's go ahead and put this up there on the

1043
00:54:02,040 --> 00:54:05,520
Speaker 1: screen inportant, which is did political and media bias stall

1044
00:54:05,600 --> 00:54:09,040
Speaker 1: the release of this new COVID nineteen drug now. Former

1045
00:54:09,080 --> 00:54:13,279
Speaker 1: AHHS officials said that they tried to accelerate funding for

1046
00:54:13,400 --> 00:54:16,640
Speaker 1: what has become of the new mirk pill, but that

1047
00:54:16,719 --> 00:54:19,960
Speaker 1: they were blocked. Now, what they point to, and what

1048
00:54:19,960 --> 00:54:24,680
Speaker 1: Matt points to, is some anecdotal reporting here that withinside

1049
00:54:24,680 --> 00:54:28,920
Speaker 1: the system that they essentially blocked the funding and development

1050
00:54:29,440 --> 00:54:33,520
Speaker 1: of the covid pill, which, to be clear, lessons covid

1051
00:54:33,760 --> 00:54:37,080
Speaker 1: symptoms for the reason Crystal that they thought that it

1052
00:54:37,120 --> 00:54:41,399
Speaker 1: would screw with people getting vaccinated, and so they were

1053
00:54:41,440 --> 00:54:44,839
Speaker 1: more concerned with the developing vaccine and immunity on that

1054
00:54:44,920 --> 00:54:48,280
Speaker 1: front than they were on any sort of therapeutic drug

1055
00:54:48,560 --> 00:54:51,000
Speaker 1: because they were worried that people would take the therapeutic

1056
00:54:51,080 --> 00:54:55,040
Speaker 1: drug or that therapeutic drug would lessen the case for

1057
00:54:55,080 --> 00:54:58,439
Speaker 1: getting vaccinated. And I do think that if that is true,

1058
00:54:58,480 --> 00:55:00,320
Speaker 1: and look, I doubt we will ever get it straight

1059
00:55:00,360 --> 00:55:04,680
Speaker 1: answer on that one. That is scandalous. I mean because

1060
00:55:04,920 --> 00:55:07,640
Speaker 1: look what happened in my particular case. I got vaccinated

1061
00:55:07,680 --> 00:55:09,279
Speaker 1: and I got covid and let me tell you a

1062
00:55:09,320 --> 00:55:11,840
Speaker 1: day two or three wouldn't a mind a nice pill

1063
00:55:12,280 --> 00:55:15,360
Speaker 1: hell covid pill in order to make sure neither of

1064
00:55:15,360 --> 00:55:18,359
Speaker 1: those things are mutually exclusive. I mean, look, for people

1065
00:55:18,360 --> 00:55:21,040
Speaker 1: who are old, vaccine and natural immunity is actually a

1066
00:55:21,080 --> 00:55:24,279
Speaker 1: pretty good cocktail in order to keep you away and

1067
00:55:24,320 --> 00:55:26,600
Speaker 1: if you can lessen symptoms or make it so life

1068
00:55:26,640 --> 00:55:30,759
Speaker 1: saving therapeutics plus an immunity on different fronts and bolstering

1069
00:55:30,760 --> 00:55:32,879
Speaker 1: that that itself is a way in order to make

1070
00:55:32,880 --> 00:55:35,520
Speaker 1: sure that we're not going to have worse COVID in

1071
00:55:35,560 --> 00:55:39,160
Speaker 1: the future. So, I mean, look again, he's going off

1072
00:55:39,200 --> 00:55:42,480
Speaker 1: of former HHS officials, So this is not some quacks

1073
00:55:42,800 --> 00:55:45,680
Speaker 1: you know, or elsewhere. But it seems like a highly

1074
00:55:45,840 --> 00:55:51,279
Speaker 1: plausible scenario, and you put that together with merk now

1075
00:55:51,400 --> 00:55:54,960
Speaker 1: charging forty times for that. I do want to say something, though,

1076
00:55:55,000 --> 00:55:59,000
Speaker 1: which is that I have seen some people online. Alan

1077
00:55:59,040 --> 00:56:01,480
Speaker 1: West I'm gonna call him out. Specifically, was the chairman

1078
00:56:01,719 --> 00:56:04,160
Speaker 1: of the Republican Party who talked about how, you know,

1079
00:56:04,200 --> 00:56:06,239
Speaker 1: he was recently had to go to the hospital because

1080
00:56:06,239 --> 00:56:08,520
Speaker 1: he had to. He's better now, so God bless him

1081
00:56:08,880 --> 00:56:10,800
Speaker 1: and all of that. But anyway, so he was talking

1082
00:56:10,800 --> 00:56:13,720
Speaker 1: about how he didn't want to give big pharma making

1083
00:56:13,760 --> 00:56:16,399
Speaker 1: billions off of the COVID vaccine and that's why he's

1084
00:56:16,440 --> 00:56:20,759
Speaker 1: taking monoclonal antibodies. People were very quick to point out that, yeah,

1085
00:56:20,840 --> 00:56:25,680
Speaker 1: monoclonal antibodies cost about twelve hundred to two thousand dollars

1086
00:56:25,920 --> 00:56:29,600
Speaker 1: per infusion, and guess who's making those antibodies, Big Pharma.

1087
00:56:29,920 --> 00:56:33,560
Speaker 1: They're making way more money off of that per dose

1088
00:56:33,880 --> 00:56:36,640
Speaker 1: than they are off a vaccine which costs like forty bucks.

1089
00:56:36,960 --> 00:56:38,680
Speaker 1: So if you're one of those people who's like I'm

1090
00:56:38,680 --> 00:56:41,040
Speaker 1: gonna get monoclonal anibodies because I don't want to give

1091
00:56:41,040 --> 00:56:43,600
Speaker 1: a big farm of money, yeah, you're actually played yourself

1092
00:56:43,760 --> 00:56:48,839
Speaker 1: like mega Yeah, COVID tills another great example the way

1093
00:56:48,840 --> 00:56:52,120
Speaker 1: to like its own the vaccine makers. It's like it's

1094
00:56:52,160 --> 00:56:55,080
Speaker 1: just a different set of pharmaceutical executives and it's probably

1095
00:56:55,080 --> 00:56:58,279
Speaker 1: the same execs in Switzerland who are still raking in.

1096
00:56:58,440 --> 00:57:01,799
Speaker 1: We're still an of money. Listen, Like, if you are

1097
00:57:01,840 --> 00:57:04,560
Speaker 1: trying to avoid pharma getting rich in this whole situation,

1098
00:57:04,880 --> 00:57:08,920
Speaker 1: it ain't gonna happen, folks. Yeah, And effectively, what Matt

1099
00:57:09,239 --> 00:57:14,120
Speaker 1: indicates may have happened with this drug is that they

1100
00:57:14,200 --> 00:57:17,160
Speaker 1: needed it was originally owned by a smaller company, not MERK,

1101
00:57:17,240 --> 00:57:19,560
Speaker 1: and they ultimately flipped it and sold the rights to Merk,

1102
00:57:19,600 --> 00:57:22,520
Speaker 1: who developed it and created the capacity to be able

1103
00:57:22,560 --> 00:57:28,200
Speaker 1: to produce it. That smaller company to eat themselves so

1104
00:57:28,200 --> 00:57:32,280
Speaker 1: that they could produce it more rapidly. And there is

1105
00:57:32,320 --> 00:57:35,280
Speaker 1: a dude who ended up being a whistleblower who got

1106
00:57:35,280 --> 00:57:37,760
Speaker 1: hailed as like the anti Trump guy. And I don't

1107
00:57:37,800 --> 00:57:40,240
Speaker 1: know if you remember this whole thing. He was getting exposed,

1108
00:57:40,320 --> 00:57:42,800
Speaker 1: He was getting a lot of exposure and media like

1109
00:57:43,160 --> 00:57:46,400
Speaker 1: blowing the whistle on how politics has infected the science.

1110
00:57:46,440 --> 00:57:48,560
Speaker 1: And I don't doubt that some of that was the case.

1111
00:57:48,920 --> 00:57:52,280
Speaker 1: But this guy also was a chief opponent of this

1112
00:57:52,400 --> 00:57:56,640
Speaker 1: drug receiving this funding. And so because then it got

1113
00:57:56,720 --> 00:57:58,840
Speaker 1: wrapped up in this like, oh well, if you don't

1114
00:57:58,920 --> 00:58:01,840
Speaker 1: like Trump then and you don't like this drug and

1115
00:58:01,880 --> 00:58:04,439
Speaker 1: you don't like the funding for this drug, it got

1116
00:58:04,520 --> 00:58:06,840
Speaker 1: kind of caught up into this are you with Trump

1117
00:58:06,960 --> 00:58:11,040
Speaker 1: or are you against Trump? Culture war nonsense? And so

1118
00:58:11,200 --> 00:58:14,480
Speaker 1: that delayed the development and the ability to actually produce

1119
00:58:14,520 --> 00:58:18,000
Speaker 1: it at capacity so that we could have the potentially

1120
00:58:18,160 --> 00:58:20,919
Speaker 1: very effective COVID pill. So there you go. So there

1121
00:58:20,960 --> 00:58:24,320
Speaker 1: you go, just culture war ruining everything once again. What

1122
00:58:24,440 --> 00:58:26,960
Speaker 1: a shocker. Wow, you guys must really like listening to

1123
00:58:27,000 --> 00:58:29,040
Speaker 1: our voices. Well, I know this is annoying. Instead of

1124
00:58:29,080 --> 00:58:31,680
Speaker 1: making you listen to a Viagra commercial. When you're done,

1125
00:58:31,840 --> 00:58:34,240
Speaker 1: check out the other podcast I do with Marshall Kasloff

1126
00:58:34,320 --> 00:58:36,560
Speaker 1: called The Realignment. We talk a lot about the deeper

1127
00:58:36,600 --> 00:58:40,000
Speaker 1: issues that are changing realigning in American society, you always

1128
00:58:40,040 --> 00:58:43,480
Speaker 1: need more crystal and sogur in your daily lives. Take care, guys, Crystal,

1129
00:58:43,520 --> 00:58:45,040
Speaker 1: what are you taking a look at? Well? Guys, I

1130
00:58:45,080 --> 00:58:47,120
Speaker 1: went on a little road trip this weekend. That's where

1131
00:58:47,160 --> 00:58:50,080
Speaker 1: I was, and I was very confused by a sign

1132
00:58:50,160 --> 00:58:53,040
Speaker 1: for a store along the road that promised something called

1133
00:58:53,360 --> 00:58:57,760
Speaker 1: womb therapy. So was it selling therapy for your womb?

1134
00:58:57,880 --> 00:59:00,000
Speaker 1: Or was it selling some sort of therapy that involved

1135
00:59:00,200 --> 00:59:03,360
Speaker 1: re entering a womb like space or was it something

1136
00:59:03,360 --> 00:59:06,200
Speaker 1: else entirely? Curiosity got the better of me, so I

1137
00:59:06,240 --> 00:59:08,520
Speaker 1: had to look it up. Turns out that womb therapy

1138
00:59:08,600 --> 00:59:12,120
Speaker 1: offers all sorts of fake products for real and imagine

1139
00:59:12,160 --> 00:59:16,320
Speaker 1: ailments impacting the female anatomy. Here is one, for example,

1140
00:59:16,440 --> 00:59:21,040
Speaker 1: that claims to remove toxins, impurities, heavy metals, improve blood

1141
00:59:21,080 --> 00:59:25,040
Speaker 1: flow to reproductive organs, draw out harmful bacteria, cause tightening,

1142
00:59:25,160 --> 00:59:29,680
Speaker 1: pain relief, and remineralization whatever that is. It also claims

1143
00:59:29,680 --> 00:59:33,120
Speaker 1: with this product you might experience everything from cyst shrinkage

1144
00:59:33,200 --> 00:59:38,000
Speaker 1: to improved deliver function to bladder health. The website suggests

1145
00:59:38,040 --> 00:59:41,000
Speaker 1: that this product, called womb Clay, can be used inside

1146
00:59:41,120 --> 00:59:44,120
Speaker 1: or outside your lady parts outside of your womb. Don't

1147
00:59:44,120 --> 00:59:46,680
Speaker 1: know how you do that on your breast, on your face,

1148
00:59:46,760 --> 00:59:48,960
Speaker 1: and gentlemen, if you want, it can go on your

1149
00:59:48,960 --> 00:59:53,040
Speaker 1: parts as well. In short, womb therapy is selling snake oil,

1150
00:59:53,320 --> 00:59:57,920
Speaker 1: an unregulated product, making a bunch of completely bogus, untested

1151
00:59:57,960 --> 01:00:00,160
Speaker 1: claims where the very best you can hope for is

1152
01:00:00,160 --> 01:00:03,440
Speaker 1: that it does not actively harm you. Maybe you'll benefit

1153
01:00:03,480 --> 01:00:06,600
Speaker 1: from a minor placebo effect. The worst case scenario is

1154
01:00:06,640 --> 01:00:09,600
Speaker 1: pretty ugly, though, buying into a fake remedy for a

1155
01:00:09,720 --> 01:00:13,520
Speaker 1: very real problem and serious health problems ending up much

1156
01:00:13,720 --> 01:00:17,000
Speaker 1: much worse. Now before we totally look down our nose

1157
01:00:17,040 --> 01:00:19,560
Speaker 1: at the womb therapy clientele, though, let me ask you

1158
01:00:19,560 --> 01:00:23,000
Speaker 1: a few questions. Have you gone to a chiropractor? Have

1159
01:00:23,080 --> 01:00:26,200
Speaker 1: you sought out an acupuncturists? Do you take any supplements

1160
01:00:26,240 --> 01:00:28,520
Speaker 1: at all? Do you have any creams or products that

1161
01:00:28,560 --> 01:00:32,200
Speaker 1: promise you amazing results? Now, personally I can answer yes

1162
01:00:32,240 --> 01:00:34,320
Speaker 1: to every one of those questions, and so, in ways

1163
01:00:34,400 --> 01:00:36,640
Speaker 1: large and small, I have been taken in by the

1164
01:00:36,680 --> 01:00:39,640
Speaker 1: particular forms of snake oil to which I was susceptible.

1165
01:00:40,040 --> 01:00:42,480
Speaker 1: In all likelihood you have been too. And it's not

1166
01:00:42,520 --> 01:00:46,840
Speaker 1: an accident either. Unscrupulous corrupt politicians have been bought off

1167
01:00:46,880 --> 01:00:50,600
Speaker 1: to let the scammers find their marks, erecting regime of

1168
01:00:50,680 --> 01:00:53,280
Speaker 1: fakeed scrutiny which mostly serves to provide a patina of

1169
01:00:53,360 --> 01:00:57,960
Speaker 1: legitimacy to completely phony and bogus products. Now, I will

1170
01:00:58,000 --> 01:01:00,960
Speaker 1: save you the long legislative details of are really interesting,

1171
01:01:01,000 --> 01:01:04,000
Speaker 1: of the supplement and wellness industry taking over Washington and

1172
01:01:04,080 --> 01:01:07,760
Speaker 1: winning an almost completely deregulated market. There are villains for

1173
01:01:07,840 --> 01:01:10,080
Speaker 1: that story on both sides of the isle. Of course,

1174
01:01:10,440 --> 01:01:12,600
Speaker 1: listen to the Dream podcast if you want the whole story.

1175
01:01:12,600 --> 01:01:14,840
Speaker 1: I would highly recommend it, by the way, but suffice

1176
01:01:14,840 --> 01:01:17,280
Speaker 1: it to say that none of your supplements, oils, tonics,

1177
01:01:17,360 --> 01:01:19,640
Speaker 1: or creams are likely to have been tested for safety,

1178
01:01:20,040 --> 01:01:22,680
Speaker 1: let alone to see if they, you know, actually do anything.

1179
01:01:23,040 --> 01:01:24,760
Speaker 1: The reason I'm talking about this now is because a

1180
01:01:24,760 --> 01:01:26,960
Speaker 1: lot of folks have been shocked by the cottage industry

1181
01:01:26,960 --> 01:01:30,360
Speaker 1: of unproven or completely bogus or actually dangerous COVID cures

1182
01:01:30,360 --> 01:01:32,800
Speaker 1: that have sprung up during the pandemic. You got your

1183
01:01:32,880 --> 01:01:36,880
Speaker 1: hydroxychloroquins and your ivermectins and your drinking bleach. They've all,

1184
01:01:36,880 --> 01:01:39,160
Speaker 1: of course enjoyed a moment in the media spotlight. But

1185
01:01:39,240 --> 01:01:42,120
Speaker 1: there is so much more beyond that. In fact, there

1186
01:01:42,160 --> 01:01:45,480
Speaker 1: is an entire Wikipedia page of unproven methods of curing

1187
01:01:45,520 --> 01:01:49,480
Speaker 1: COVID that include a specific volcanic ash. There's a virus

1188
01:01:49,520 --> 01:01:53,840
Speaker 1: shutout protection pendant. There's drinking camel urine, and many many

1189
01:01:53,840 --> 01:01:56,440
Speaker 1: other suggestions here. But the truth is that the instinct

1190
01:01:56,440 --> 01:02:00,200
Speaker 1: to trust a Facebook post or Gwyneth Paltrow or your

1191
01:02:00,240 --> 01:02:03,280
Speaker 1: friend from high school selling young living essential oils is

1192
01:02:03,440 --> 01:02:06,680
Speaker 1: old cross's class, race and partisan divides, and is an

1193
01:02:06,880 --> 01:02:10,560
Speaker 1: entirely predictable result of our completely screwed up political in

1194
01:02:10,600 --> 01:02:13,479
Speaker 1: health system. And by the way, it says a lot

1195
01:02:13,560 --> 01:02:15,920
Speaker 1: more about those failed systems than it says about the

1196
01:02:16,000 --> 01:02:19,120
Speaker 1: character or intelligence of all of us. We have been

1197
01:02:19,200 --> 01:02:22,440
Speaker 1: set up to fail. Just think about this for one second.

1198
01:02:22,960 --> 01:02:25,920
Speaker 1: Millions of Americans have zero connection to the medical system.

1199
01:02:26,080 --> 01:02:30,080
Speaker 1: Millions more have only experiences of exploitation or racism, or

1200
01:02:30,080 --> 01:02:33,760
Speaker 1: classism or failure. Almost literally every day, there is a

1201
01:02:33,760 --> 01:02:36,840
Speaker 1: new story about the way that profits are driving global

1202
01:02:36,840 --> 01:02:40,680
Speaker 1: health care decisions. Here is Pfizer lobbying for booster shots

1203
01:02:40,720 --> 01:02:43,720
Speaker 1: even though there isn't really data to support their necessity.

1204
01:02:44,160 --> 01:02:47,720
Speaker 1: Here is Maderna only selling its vaccine, the most effective one,

1205
01:02:47,720 --> 01:02:49,920
Speaker 1: by the way, to the rich world, because of the

1206
01:02:49,960 --> 01:02:53,000
Speaker 1: premium prices that the rich world can pay. Here is

1207
01:02:53,080 --> 01:02:55,640
Speaker 1: Merk selling that COVID pill we were just talking about,

1208
01:02:55,640 --> 01:02:58,600
Speaker 1: which was developed with US government money, and they're selling

1209
01:02:58,680 --> 01:03:01,520
Speaker 1: it for forty times what it actually cost to produce.

1210
01:03:02,440 --> 01:03:04,360
Speaker 1: I'm not here trying to make the case with a vaccine,

1211
01:03:04,400 --> 01:03:06,680
Speaker 1: and crap like this, by the way, really does not help,

1212
01:03:06,720 --> 01:03:08,440
Speaker 1: although I will add as a public service note that

1213
01:03:08,480 --> 01:03:11,800
Speaker 1: the fact that the politicians and executives are effectively limiting

1214
01:03:11,800 --> 01:03:14,040
Speaker 1: the vaccine to the rich world is powerful proof that

1215
01:03:14,080 --> 01:03:18,760
Speaker 1: the vaccine is actually effective and important. Add on top

1216
01:03:18,880 --> 01:03:21,320
Speaker 1: of all of that, a healthcare system for sale, an

1217
01:03:21,440 --> 01:03:25,200
Speaker 1: entire industry a snake oil salesman has been unleashed on

1218
01:03:25,320 --> 01:03:27,880
Speaker 1: us by the corrupt politicians who were more interested in

1219
01:03:27,920 --> 01:03:31,920
Speaker 1: campaign cash than in protecting Americans from any of these charlatans.

1220
01:03:32,200 --> 01:03:35,680
Speaker 1: They are allowed to operate with impunity, preying on our

1221
01:03:35,960 --> 01:03:39,120
Speaker 1: justified skepticism of a healthcare system that is actually all

1222
01:03:39,160 --> 01:03:42,160
Speaker 1: about profit and not at all about health. Layer on

1223
01:03:42,200 --> 01:03:44,440
Speaker 1: top of all of that the desperation of people who

1224
01:03:44,480 --> 01:03:47,040
Speaker 1: have serious ailments or chronic pain but are unable to

1225
01:03:47,080 --> 01:03:49,920
Speaker 1: afford actual care and do not want to risk bankruptcy

1226
01:03:49,960 --> 01:03:52,160
Speaker 1: by seeing the doctor. And you can see how you've

1227
01:03:52,200 --> 01:03:54,760
Speaker 1: got a perfect storm for a tidal wave of made

1228
01:03:54,840 --> 01:03:58,560
Speaker 1: up COVID cures. There's a terrific article in Jacketbin right

1229
01:03:58,560 --> 01:04:01,040
Speaker 1: Now that makes a version of this argument and explaining

1230
01:04:01,080 --> 01:04:04,920
Speaker 1: the very American capitalist roots of this current pandemic failure.

1231
01:04:05,320 --> 01:04:08,880
Speaker 1: The author Akil Vix writes that the idea that nefarious

1232
01:04:08,920 --> 01:04:11,800
Speaker 1: government actors are colluding to keep the miracle cure out

1233
01:04:11,800 --> 01:04:14,480
Speaker 1: of your hands so you'll take their vaccine is very

1234
01:04:14,480 --> 01:04:18,040
Speaker 1: appealing to those inclined to distrust our political establishment. The

1235
01:04:18,040 --> 01:04:20,800
Speaker 1: fact that, unlike in the developing world, vaccines are readily

1236
01:04:20,880 --> 01:04:23,560
Speaker 1: available in most places in the US that only serves

1237
01:04:23,560 --> 01:04:25,640
Speaker 1: as proof that they are not to be trusted. We

1238
01:04:25,720 --> 01:04:29,000
Speaker 1: have long been taught that nothing good is truly free.

1239
01:04:29,240 --> 01:04:32,560
Speaker 1: Think about that nothing good is truly free. Now. I've

1240
01:04:32,560 --> 01:04:34,600
Speaker 1: seen a lot of contempt for the individual people who

1241
01:04:34,640 --> 01:04:37,880
Speaker 1: would believe that Facebook post over the medical establishment. But

1242
01:04:37,920 --> 01:04:40,680
Speaker 1: we should flip that equation on its head. What does

1243
01:04:40,680 --> 01:04:44,000
Speaker 1: it say about our political and healthcare system that millions

1244
01:04:44,080 --> 01:04:47,160
Speaker 1: would trust a random Facebook post over the consensus of

1245
01:04:47,200 --> 01:04:50,880
Speaker 1: the medical and political establishment. A president who really wanted

1246
01:04:50,880 --> 01:04:53,080
Speaker 1: to deal with this problem would lift the patent protections,

1247
01:04:53,320 --> 01:04:55,920
Speaker 1: would use his power to expand Medicare to all, would

1248
01:04:55,960 --> 01:04:59,280
Speaker 1: rein in and regulate the snake oil salesman. A real

1249
01:04:59,360 --> 01:05:03,439
Speaker 1: media would punch up, exposing the hucksters, revealing how our

1250
01:05:03,480 --> 01:05:07,200
Speaker 1: for profit healthcare system has failed our citizens, and demanding

1251
01:05:07,320 --> 01:05:10,160
Speaker 1: answers from the politicians and the elites who created this

1252
01:05:10,360 --> 01:05:13,400
Speaker 1: entire mess. Instead, I guess they'll just make more jokes

1253
01:05:13,440 --> 01:05:16,440
Speaker 1: about horse paste and Sager. You know that Jackoman article

1254
01:05:16,480 --> 01:05:20,080
Speaker 1: was actually really interesting because they talked about how developing

1255
01:05:20,120 --> 01:05:22,760
Speaker 1: world is. One more thing, I promise. Just wanted to

1256
01:05:22,760 --> 01:05:25,440
Speaker 1: make sure you knew about my podcast with Kyle Kolinski.

1257
01:05:25,520 --> 01:05:27,919
Speaker 1: It's called Crystal, Kyle and Friends, where we do long

1258
01:05:27,960 --> 01:05:31,080
Speaker 1: form interviews with people like Noam Chomsky, Cornell West, and

1259
01:05:31,120 --> 01:05:34,919
Speaker 1: Glenn Greenwald. You can listen on any podcast platform, or

1260
01:05:34,960 --> 01:05:37,439
Speaker 1: you can subscribe over on substack to get the video

1261
01:05:37,440 --> 01:05:39,600
Speaker 1: a day early. We're going to stop bugging you now.

1262
01:05:39,800 --> 01:05:42,360
Speaker 1: Enjoy all right, Sager, what are you looking at? Well?

1263
01:05:42,440 --> 01:05:44,760
Speaker 1: The biggest foreign policy question of our time right now

1264
01:05:44,840 --> 01:05:47,240
Speaker 1: is actually really simple. What do we do with China?

1265
01:05:47,360 --> 01:05:49,240
Speaker 1: The simple question. It's going to be the theme of

1266
01:05:49,280 --> 01:05:52,200
Speaker 1: almost every major action that we take in the post

1267
01:05:52,240 --> 01:05:55,400
Speaker 1: Afghanistan War on Terror era. It has got near term

1268
01:05:55,440 --> 01:05:57,480
Speaker 1: ones like what should we do about Taiwan or the

1269
01:05:57,520 --> 01:05:59,840
Speaker 1: South China see, it's got long term ones on what

1270
01:06:00,040 --> 01:06:03,080
Speaker 1: exactly want our military to be doing, on whether old

1271
01:06:03,120 --> 01:06:06,360
Speaker 1: alliances like NATO make any sense, whether new ones with

1272
01:06:06,440 --> 01:06:09,360
Speaker 1: Japan and South Korea would be a lot better. Amid

1273
01:06:09,440 --> 01:06:11,560
Speaker 1: all of that, what matters is that we have a

1274
01:06:11,600 --> 01:06:14,760
Speaker 1: real debate in this country. Everything should be on the table,

1275
01:06:15,040 --> 01:06:17,680
Speaker 1: all the information should be considered. And while it is

1276
01:06:17,680 --> 01:06:20,280
Speaker 1: pretty popular online today to say that the powers that

1277
01:06:20,320 --> 01:06:23,160
Speaker 1: be favor war with China and that anyone who expresses

1278
01:06:23,200 --> 01:06:26,600
Speaker 1: concerns about global competition is a bot off warhawk, the

1279
01:06:26,680 --> 01:06:29,680
Speaker 1: reality is that China has already taken a critical step

1280
01:06:29,920 --> 01:06:34,160
Speaker 1: in shaping our current information environment by actually buying off

1281
01:06:34,280 --> 01:06:37,400
Speaker 1: the powers that be. In fact, it is becoming clear

1282
01:06:37,720 --> 01:06:41,080
Speaker 1: the richest and most powerful people into America today have

1283
01:06:41,160 --> 01:06:44,080
Speaker 1: a lot more to lose from competition and tension with

1284
01:06:44,160 --> 01:06:46,880
Speaker 1: China than anything to gain. Let's take one of the

1285
01:06:46,920 --> 01:06:50,160
Speaker 1: greatest villains in America, Blackrock. You've probably heard about them

1286
01:06:50,160 --> 01:06:52,480
Speaker 1: here on this show about their bid to buy up

1287
01:06:52,560 --> 01:06:55,440
Speaker 1: massive amounts of single family housing and turn America into

1288
01:06:55,520 --> 01:06:59,240
Speaker 1: a rentier society. Obviously, Crystal and I say hell no

1289
01:06:59,400 --> 01:07:01,920
Speaker 1: to that one. But what people don't notice is that

1290
01:07:02,000 --> 01:07:06,040
Speaker 1: housing isn't their only big play to get fantastically wealthy.

1291
01:07:06,280 --> 01:07:08,640
Speaker 1: The other one is to sell out the United States

1292
01:07:08,840 --> 01:07:13,040
Speaker 1: and even manipulate our own domestic investors at the behest

1293
01:07:13,120 --> 01:07:16,760
Speaker 1: of the Chinese government in exchange for big favors overseas.

1294
01:07:17,080 --> 01:07:20,520
Speaker 1: Let me explain. Story starts in July twenty twenty one.

1295
01:07:20,720 --> 01:07:23,400
Speaker 1: Back then, that was when China cracked down on ten

1296
01:07:23,480 --> 01:07:26,919
Speaker 1: cents initial public offering. Tencent was a massive Chinese media

1297
01:07:26,920 --> 01:07:29,480
Speaker 1: company which was going public. Well, here's what happened. They

1298
01:07:29,560 --> 01:07:32,000
Speaker 1: raised billions of dollars here in the US markets. But

1299
01:07:32,000 --> 01:07:35,120
Speaker 1: then the Chinese government decided, now, you guys are getting

1300
01:07:35,120 --> 01:07:37,240
Speaker 1: too big for your bridges, so they find them, took

1301
01:07:37,240 --> 01:07:40,120
Speaker 1: away the IPO and exerted control over the company and

1302
01:07:40,240 --> 01:07:43,080
Speaker 1: all those US investors their money was just stolen. It's

1303
01:07:43,080 --> 01:07:45,280
Speaker 1: the latest company that they've done that too, and it

1304
01:07:45,320 --> 01:07:47,680
Speaker 1: was a signal to the Chinese billionaire class. There is

1305
01:07:47,720 --> 01:07:51,640
Speaker 1: only one head honcho in Beijing. That's the government. That action,

1306
01:07:51,880 --> 01:07:54,760
Speaker 1: as it should have, sparked some scaries on Wall Street.

1307
01:07:55,040 --> 01:07:57,520
Speaker 1: They wondered, Hey, if they can just steal our money

1308
01:07:57,640 --> 01:07:59,640
Speaker 1: and then take over the companies, is this really a

1309
01:07:59,640 --> 01:08:02,760
Speaker 1: stable market? Should we keep giving these people money? Well,

1310
01:08:02,840 --> 01:08:06,640
Speaker 1: right at the height of the selloff, executives from Goldman Sachs, Blackrock,

1311
01:08:06,680 --> 01:08:09,560
Speaker 1: and other US financial firms were summoned to meet with

1312
01:08:09,640 --> 01:08:12,080
Speaker 1: the deputy head of the Chinese version of the SEC.

1313
01:08:12,520 --> 01:08:18,080
Speaker 1: Words were exchanged somehow, Miraculously, twenty days later, BlackRock's long

1314
01:08:18,200 --> 01:08:22,000
Speaker 1: wanted plan to offer mutual funds in China was approved.

1315
01:08:22,360 --> 01:08:25,400
Speaker 1: At the exact same time that this multi billion dollar

1316
01:08:25,479 --> 01:08:28,839
Speaker 1: windfall comes into the lab of Blackrock. Guess what happens.

1317
01:08:29,120 --> 01:08:32,479
Speaker 1: Blackrock goes on a major PR campaign to tell people

1318
01:08:32,600 --> 01:08:36,240
Speaker 1: that China not only isn't a bad investment, that American

1319
01:08:36,280 --> 01:08:39,599
Speaker 1: investors don't have enough of their money in China. They

1320
01:08:39,640 --> 01:08:42,680
Speaker 1: told their investors to boost their investments in China by

1321
01:08:42,760 --> 01:08:46,240
Speaker 1: two to three hundred percent. So let's call this what

1322
01:08:46,400 --> 01:08:50,280
Speaker 1: it is. It's pay to play. Blackrock does Chinese PR

1323
01:08:50,600 --> 01:08:52,720
Speaker 1: and in exchange, they get to make billions in the

1324
01:08:52,800 --> 01:08:55,080
Speaker 1: Chinese market. You could brush it off and say, ah,

1325
01:08:55,080 --> 01:08:59,599
Speaker 1: it's only one form. Well, Wall Street is actually entirely uniform,

1326
01:08:59,640 --> 01:09:03,679
Speaker 1: and it's Chinese propaganda. In fact, probably without your knowledge,

1327
01:09:03,920 --> 01:09:07,240
Speaker 1: US mutual funds and ETFs investing in China held a

1328
01:09:07,280 --> 01:09:10,760
Speaker 1: collective forty three billion in net assets at the end

1329
01:09:10,800 --> 01:09:13,960
Speaker 1: of August, up forty three percent from the last year.

1330
01:09:14,439 --> 01:09:16,800
Speaker 1: In the year in which China literally covered up a

1331
01:09:16,800 --> 01:09:20,920
Speaker 1: plague ravaging global society, the richest people in our country

1332
01:09:21,200 --> 01:09:24,360
Speaker 1: just handed them even more money. Goldman Sachs ended twenty

1333
01:09:24,400 --> 01:09:28,040
Speaker 1: twenty by actually buying the permission from the Chinese government

1334
01:09:28,400 --> 01:09:31,960
Speaker 1: full ownership of its investment venture in China. It fully

1335
01:09:32,000 --> 01:09:36,519
Speaker 1: integrated its Chinese business into their global operations, meaning that

1336
01:09:36,680 --> 01:09:39,960
Speaker 1: like all business in China, it is now essentially directed

1337
01:09:40,000 --> 01:09:42,760
Speaker 1: and controlled by the Chinese government, which is why in

1338
01:09:42,760 --> 01:09:47,280
Speaker 1: mid September they released a new propaganda pamphlet which boggles

1339
01:09:47,360 --> 01:09:49,919
Speaker 1: the mind in how much boot licking that you can see.

1340
01:09:50,040 --> 01:09:53,240
Speaker 1: Let's put it up there. They released this clownish multich

1341
01:09:53,479 --> 01:09:56,679
Speaker 1: page report in which it details how pro business China

1342
01:09:56,720 --> 01:09:59,679
Speaker 1: actually is, how while yaes investors it is a little

1343
01:09:59,720 --> 01:10:01,760
Speaker 1: trup link that they throw people in jail with no

1344
01:10:01,880 --> 01:10:03,960
Speaker 1: regard for the rule of law, and they can take

1345
01:10:04,000 --> 01:10:07,160
Speaker 1: over a company at will. That it's a completely authoritarian system.

1346
01:10:07,320 --> 01:10:10,960
Speaker 1: But don't worry about that. Emerging markets aren't going to

1347
01:10:10,960 --> 01:10:14,360
Speaker 1: be touched. And that is why you, golds investor, should

1348
01:10:14,360 --> 01:10:16,200
Speaker 1: give us your money so we can put it into

1349
01:10:16,280 --> 01:10:18,799
Speaker 1: Chinese business and we can all make lots more money.

1350
01:10:19,120 --> 01:10:21,479
Speaker 1: Really think about that for a second, after watching with

1351
01:10:21,560 --> 01:10:24,679
Speaker 1: your own eyes how China controls business and will steal

1352
01:10:24,800 --> 01:10:28,240
Speaker 1: us dollars. Goldman Sachs is writing pamphlets about why all

1353
01:10:28,320 --> 01:10:31,559
Speaker 1: that is fine, why you should give them more. At

1354
01:10:31,560 --> 01:10:33,719
Speaker 1: what point do we call Black Rock and Goldman Sacks

1355
01:10:33,720 --> 01:10:36,160
Speaker 1: is exactly what they are. They're propaganda arms of the

1356
01:10:36,200 --> 01:10:39,879
Speaker 1: Chinese Communist Party. They are bought and paid for foreign actors.

1357
01:10:40,000 --> 01:10:43,000
Speaker 1: They should be treated as such in under our domestic laws.

1358
01:10:43,360 --> 01:10:45,120
Speaker 1: One of the core themes of the show is follow

1359
01:10:45,160 --> 01:10:47,040
Speaker 1: the money and follow the people who have all the

1360
01:10:47,080 --> 01:10:50,559
Speaker 1: money right now. Black Rock CEO's former chief of staff, WALLYA.

1361
01:10:50,640 --> 01:10:54,080
Speaker 1: Daimio is literally Joe Biden's Deputy Secretary of the Treasury,

1362
01:10:54,240 --> 01:10:56,439
Speaker 1: the person who runs all day to day operations of

1363
01:10:56,439 --> 01:10:59,880
Speaker 1: our treasury department. His other former employees, Brian Deese, the

1364
01:11:00,080 --> 01:11:02,800
Speaker 1: current head of the National Economic Council, who before his

1365
01:11:02,840 --> 01:11:06,120
Speaker 1: White House job was quote head of sustainable investing for

1366
01:11:06,160 --> 01:11:09,960
Speaker 1: Black Rock, where he pocketed at least at least being

1367
01:11:09,960 --> 01:11:13,040
Speaker 1: the key two point three million dollars I'll positive take

1368
01:11:13,080 --> 01:11:16,120
Speaker 1: which will make the online left's head explode. What if

1369
01:11:16,160 --> 01:11:18,800
Speaker 1: the people with the most to gain financially are those

1370
01:11:18,840 --> 01:11:21,479
Speaker 1: who are pushing peace at all costs with China? It

1371
01:11:21,560 --> 01:11:24,000
Speaker 1: sure seems that way to me. I say this only

1372
01:11:24,040 --> 01:11:26,720
Speaker 1: to spark a conversation, which I think is vital. What

1373
01:11:26,840 --> 01:11:29,479
Speaker 1: should we do about any of this? If you, in

1374
01:11:29,600 --> 01:11:32,120
Speaker 1: good faith think that we should be completely okay and

1375
01:11:32,160 --> 01:11:34,760
Speaker 1: the Chinese and US economy shouldn be intertwined, so be

1376
01:11:34,880 --> 01:11:38,360
Speaker 1: it completely accept that. But increasingly I see a situation

1377
01:11:38,720 --> 01:11:41,840
Speaker 1: tension in East Asia is rising, and an honest conversations

1378
01:11:41,840 --> 01:11:44,880
Speaker 1: are actually being covered up in America by the richest

1379
01:11:44,920 --> 01:11:47,639
Speaker 1: and most powerful people in the country. What we need

1380
01:11:47,760 --> 01:11:50,840
Speaker 1: instead is to examine the problem at all angles and

1381
01:11:50,880 --> 01:11:53,960
Speaker 1: come to a real consensus. That is how democracy is

1382
01:11:54,000 --> 01:11:56,680
Speaker 1: supposed to work. And it failed the last time that

1383
01:11:56,720 --> 01:11:59,960
Speaker 1: we considered the China problem precisely because of the mass,

1384
01:12:00,000 --> 01:12:04,760
Speaker 1: massive lobbying power of big business. And this time we

1385
01:12:04,840 --> 01:12:08,040
Speaker 1: cannot let that happen again. I think it's pretty astounding, Crystal.

1386
01:12:08,080 --> 01:12:10,599
Speaker 1: You know the New York Times article you read, it's

1387
01:12:10,640 --> 01:12:13,519
Speaker 1: so brazen the way that they handle themselves. Joining us

1388
01:12:13,560 --> 01:12:16,800
Speaker 1: now labor reporter for Labor Notes and also author of

1389
01:12:16,880 --> 01:12:20,160
Speaker 1: the Substack who gets the bird dot substack dot com.

1390
01:12:20,240 --> 01:12:22,400
Speaker 1: Jonah Furman. Great to have you, Jonah, welcome. Good to

1391
01:12:22,439 --> 01:12:25,320
Speaker 1: see you, Jonah. Yeah, thanks for having me. Absolutely So

1392
01:12:25,880 --> 01:12:27,800
Speaker 1: I want to get to a couple things with you.

1393
01:12:28,160 --> 01:12:29,920
Speaker 1: I want to look at sort of the broader sweep

1394
01:12:30,040 --> 01:12:32,360
Speaker 1: of the country and all the strikes that are ongoing

1395
01:12:32,400 --> 01:12:34,200
Speaker 1: and have been authorized, on what you think is going

1396
01:12:34,240 --> 01:12:38,439
Speaker 1: on there. But let's start specifically with these ten thousand

1397
01:12:38,720 --> 01:12:42,080
Speaker 1: John deer Workers's throw your tweet actually up there on

1398
01:12:42,160 --> 01:12:44,000
Speaker 1: the screen. I know we love showing our guests their

1399
01:12:44,040 --> 01:12:47,439
Speaker 1: own tweets, but you have here a reaction to the

1400
01:12:47,520 --> 01:12:52,280
Speaker 1: fact that they voted down a contract that was negotiated

1401
01:12:52,320 --> 01:12:56,840
Speaker 1: by their union leadership by a hefty margin. No votes

1402
01:12:56,880 --> 01:13:00,000
Speaker 1: were twenty five and eighteen. Yes votes were one hundred

1403
01:13:00,200 --> 01:13:03,640
Speaker 1: and eighty nine. Talk to us about why this is

1404
01:13:03,680 --> 01:13:07,120
Speaker 1: so significant, Shonah. Sure, and I should say this is

1405
01:13:07,200 --> 01:13:09,840
Speaker 1: just one of the locals. So there's nine piece. John

1406
01:13:09,880 --> 01:13:12,920
Speaker 1: dear locals. So there's ten thousand workers and it held

1407
01:13:13,000 --> 01:13:17,160
Speaker 1: this pattern basically a ninety percent no vote. So what's

1408
01:13:17,200 --> 01:13:20,120
Speaker 1: so remarkable about this is, you know, this is a

1409
01:13:20,360 --> 01:13:23,120
Speaker 1: contract recommended not just by the company but by the

1410
01:13:23,240 --> 01:13:25,320
Speaker 1: union to the members. They bring it back for a

1411
01:13:25,400 --> 01:13:27,680
Speaker 1: vote to say, you know, what do you think of this?

1412
01:13:27,720 --> 01:13:30,240
Speaker 1: It doesn't have to pass, but it's somewhat rare for

1413
01:13:30,360 --> 01:13:33,360
Speaker 1: contracts to be voted down by the members if the

1414
01:13:33,479 --> 01:13:35,920
Speaker 1: union's recommending it, and it's really rare for it to

1415
01:13:35,960 --> 01:13:40,320
Speaker 1: be ninety percent down. That to me signifies basically a

1416
01:13:40,360 --> 01:13:43,479
Speaker 1: revolt of the members. They say this is nowhere near

1417
01:13:43,680 --> 01:13:46,920
Speaker 1: what we think we deserve, versus the company and the

1418
01:13:47,000 --> 01:13:50,960
Speaker 1: union thinking we're sort of on track, this might be acceptable.

1419
01:13:51,040 --> 01:13:52,720
Speaker 1: So that's what really stood out to me, And it

1420
01:13:52,760 --> 01:13:55,519
Speaker 1: also means that a strike is back on the table

1421
01:13:55,760 --> 01:13:58,120
Speaker 1: if you follow the ins and outs. Basically two weeks

1422
01:13:58,160 --> 01:13:59,800
Speaker 1: ago they were on the edge of a strike. It

1423
01:13:59,840 --> 01:14:03,960
Speaker 1: was narrowly averted. This rejection means that a strike is

1424
01:14:04,040 --> 01:14:06,880
Speaker 1: possible again, and the union actually set a deadline for

1425
01:14:06,920 --> 01:14:09,720
Speaker 1: Wednesday night. So now we're back on the edge of

1426
01:14:10,040 --> 01:14:12,240
Speaker 1: you know, what would be a massive strike in the

1427
01:14:12,400 --> 01:14:15,599
Speaker 1: industrial heartland yeah, absolutely would. And Johnny, you know we've

1428
01:14:15,640 --> 01:14:18,280
Speaker 1: been using your reporting to kind of contextualize this. Can

1429
01:14:18,320 --> 01:14:21,800
Speaker 1: you put this in context both, John Deere, in terms

1430
01:14:21,800 --> 01:14:24,200
Speaker 1: of the strikes we're seeing across the country, we've got

1431
01:14:24,240 --> 01:14:27,559
Speaker 1: industrial ones like this, we've got urban workers as well.

1432
01:14:27,840 --> 01:14:29,679
Speaker 1: Lay out some of the top line ones that people

1433
01:14:29,720 --> 01:14:33,120
Speaker 1: may not know about at home. Sure, so right now,

1434
01:14:33,160 --> 01:14:36,719
Speaker 1: some huge strikes that are happening are two thousand nurses

1435
01:14:36,800 --> 01:14:40,479
Speaker 1: in Buffalo, I should say hospital workers, all kinds of

1436
01:14:40,520 --> 01:14:45,400
Speaker 1: hospital workers in Buffalo. Fourteen hundred workers who make Kellogg cereals,

1437
01:14:45,479 --> 01:14:51,640
Speaker 1: you know, brand names in Memphis, Michigan, Omaha, and Lancaster, Pennsylvania.

1438
01:14:52,040 --> 01:14:54,120
Speaker 1: We saw last week a one day strike of two

1439
01:14:54,200 --> 01:14:58,320
Speaker 1: thousand telecom workers, you know, people who do you know,

1440
01:14:58,520 --> 01:15:03,439
Speaker 1: very phone lines and things like that, and just other

1441
01:15:03,640 --> 01:15:07,200
Speaker 1: groups of hundreds of workers around strike right now, what's

1442
01:15:07,240 --> 01:15:12,519
Speaker 1: even more sort of exciting is these several massive strikes

1443
01:15:12,560 --> 01:15:15,000
Speaker 1: that are on the horizon. So what's gotten a lot

1444
01:15:15,000 --> 01:15:17,800
Speaker 1: of press is the film and TV workers with AYATSI.

1445
01:15:17,880 --> 01:15:21,639
Speaker 1: That's people say sixty to sixty five thousand workers who

1446
01:15:22,320 --> 01:15:25,599
Speaker 1: operate cameras and run movie sets and would you know

1447
01:15:25,600 --> 01:15:27,960
Speaker 1: if they struck, would not just be those sixty five

1448
01:15:27,960 --> 01:15:30,519
Speaker 1: thousand workers, but tens of thousands more who would be

1449
01:15:30,560 --> 01:15:34,839
Speaker 1: idled by that strike. And another huge one is Kaiser Healthcare.

1450
01:15:34,880 --> 01:15:40,160
Speaker 1: It's the largest nonprofit healthcare company in the country, and

1451
01:15:40,479 --> 01:15:43,760
Speaker 1: they're facing a strike of about thirty five thousand of

1452
01:15:43,880 --> 01:15:49,680
Speaker 1: their workers, mainly in California, Oregon, and Hawaii. Beyond that,

1453
01:15:49,800 --> 01:15:52,200
Speaker 1: I mean, there's others that loom on the horizon, but

1454
01:15:52,240 --> 01:15:55,719
Speaker 1: we're looking at the possibility of one hundred thousand workers

1455
01:15:55,760 --> 01:16:01,280
Speaker 1: in the private sector on strike within a matter of weeks. Wow, Wow,

1456
01:16:01,680 --> 01:16:06,000
Speaker 1: Why now? Because you know, to go and strike. Look,

1457
01:16:06,240 --> 01:16:09,000
Speaker 1: retaliation is supposed to be illegal, but we all know

1458
01:16:09,560 --> 01:16:11,799
Speaker 1: the games that these companies play to make an example

1459
01:16:11,840 --> 01:16:14,840
Speaker 1: of workers, make them pay for any sort of workslowdown

1460
01:16:14,960 --> 01:16:17,799
Speaker 1: or stoppage, for any sort of trying to assert themselves

1461
01:16:17,880 --> 01:16:21,640
Speaker 1: and bargain for better conditions. Why is it now so

1462
01:16:21,800 --> 01:16:25,479
Speaker 1: many workers, tens of thousands, potentially one hundred thousand across

1463
01:16:25,520 --> 01:16:27,840
Speaker 1: the country are saying, you know what, I don't care.

1464
01:16:27,880 --> 01:16:29,479
Speaker 1: I'm going to take the risk. We're going to We're

1465
01:16:29,520 --> 01:16:31,200
Speaker 1: going to fight for something better for ourselves and for

1466
01:16:31,240 --> 01:16:34,800
Speaker 1: our brothers and sisters. It's a great question. I mean,

1467
01:16:34,840 --> 01:16:37,240
Speaker 1: you know, I don't claim to have the answer exactly,

1468
01:16:37,280 --> 01:16:40,519
Speaker 1: but there's some obvious things contributing here. One thing I

1469
01:16:40,560 --> 01:16:43,280
Speaker 1: would highlight that people maybe ignore is that these are

1470
01:16:43,400 --> 01:16:47,400
Speaker 1: union workers. So these are organized workers with contracts that

1471
01:16:47,479 --> 01:16:51,400
Speaker 1: have expiration dates. They have, yes, some rights, but more

1472
01:16:51,400 --> 01:16:54,080
Speaker 1: than that, they just have the organization to fight back.

1473
01:16:54,120 --> 01:16:57,320
Speaker 1: So we don't see this sort of mass strike at Walmart,

1474
01:16:57,360 --> 01:17:00,639
Speaker 1: despite being a massive employer with you know, frequently very

1475
01:17:00,640 --> 01:17:04,400
Speaker 1: bad conditions, because those workers don't have the benefit of organization.

1476
01:17:04,520 --> 01:17:07,080
Speaker 1: So that to me is like the key first thing.

1477
01:17:07,479 --> 01:17:09,640
Speaker 1: The other thing that's happening here are there really is

1478
01:17:09,680 --> 01:17:12,519
Speaker 1: a tight labor market, And what that does is both

1479
01:17:12,560 --> 01:17:15,560
Speaker 1: give workers more confidence to say I'm not going to

1480
01:17:15,600 --> 01:17:18,320
Speaker 1: be replaced. They can't just find someone to take my job,

1481
01:17:18,720 --> 01:17:22,439
Speaker 1: but also is an incredibly difficult experience. If you stayed

1482
01:17:22,439 --> 01:17:24,960
Speaker 1: in the workplace over the past eighteen months and there

1483
01:17:25,000 --> 01:17:30,160
Speaker 1: really is a labor shortage, you're dealing with forced overtime, understaffing,

1484
01:17:30,320 --> 01:17:35,439
Speaker 1: workloads that are unmanageable and unbearable, as well as rising inflation.

1485
01:17:35,520 --> 01:17:38,200
Speaker 1: They say inflation for the consumer Price Index is over

1486
01:17:38,240 --> 01:17:41,320
Speaker 1: five percent in the past year. And finally, the last

1487
01:17:41,360 --> 01:17:44,080
Speaker 1: thing is that a lot of these companies, despite the

1488
01:17:44,120 --> 01:17:48,080
Speaker 1: fanfare about an economic recession and things like that, a

1489
01:17:48,120 --> 01:17:50,320
Speaker 1: lot of these companies are on that top side of

1490
01:17:50,360 --> 01:17:53,400
Speaker 1: the case shaped recovery. They're making a ton of money

1491
01:17:53,439 --> 01:17:56,000
Speaker 1: during the pandemic. And this is true, especially for John Deere.

1492
01:17:56,000 --> 01:17:58,479
Speaker 1: It's their best year ever. They in the first three

1493
01:17:58,560 --> 01:18:00,760
Speaker 1: quarters of this fiscal year, they have made more than

1494
01:18:00,800 --> 01:18:05,080
Speaker 1: any other year in its entirety on record. Wow, So

1495
01:18:05,120 --> 01:18:07,640
Speaker 1: that's really stunning. I mean, really, what you're pointing to

1496
01:18:07,880 --> 01:18:10,639
Speaker 1: is that there's more confidence for a lot of these people.

1497
01:18:11,280 --> 01:18:16,120
Speaker 1: Talk about how exactly the retaliation could come, how they're

1498
01:18:16,160 --> 01:18:18,920
Speaker 1: dealing with this, are they preparing for what they see?

1499
01:18:18,920 --> 01:18:20,719
Speaker 1: And do you think the public is on their side?

1500
01:18:21,880 --> 01:18:23,640
Speaker 1: I do think the public is on their side. I

1501
01:18:23,680 --> 01:18:27,080
Speaker 1: think we you know, it's hard to gauge the sort

1502
01:18:27,120 --> 01:18:31,839
Speaker 1: of mood, but I think people can appreciate how intense

1503
01:18:31,840 --> 01:18:34,640
Speaker 1: it's been to work at a factory or in a

1504
01:18:34,680 --> 01:18:37,599
Speaker 1: hospital for the past eighteen months. I mean, almost any

1505
01:18:37,680 --> 01:18:40,600
Speaker 1: job where, especially if you had to stay in the workplace,

1506
01:18:40,640 --> 01:18:43,400
Speaker 1: has been really grueling. And I think people have a

1507
01:18:43,400 --> 01:18:46,080
Speaker 1: lot of sympathy and understanding for that, especially when you

1508
01:18:46,120 --> 01:18:50,519
Speaker 1: look at these corporate profits in terms of retaliation, I think,

1509
01:18:50,760 --> 01:18:53,280
Speaker 1: you know, again, I would just go back to what

1510
01:18:53,400 --> 01:18:56,320
Speaker 1: makes these workers able to fight on this scale and

1511
01:18:56,360 --> 01:19:00,759
Speaker 1: with this intensity is the fact that they're unionized. They're organized.

1512
01:19:00,800 --> 01:19:03,920
Speaker 1: So you might see, you know, we see on Twitter

1513
01:19:04,400 --> 01:19:06,720
Speaker 1: a picture of the Taco bell put a sign on

1514
01:19:06,760 --> 01:19:09,599
Speaker 1: the drive through saying we all quit today. And that's great,

1515
01:19:09,640 --> 01:19:11,760
Speaker 1: but it's not going to scale to the level of

1516
01:19:11,880 --> 01:19:15,519
Speaker 1: tens of thousands of workers who can consolidate whatever gains

1517
01:19:15,560 --> 01:19:19,920
Speaker 1: they get. So retaliation is a concern, sure, but the

1518
01:19:20,040 --> 01:19:25,720
Speaker 1: fact of unionization gives these workers just an order of

1519
01:19:25,760 --> 01:19:29,439
Speaker 1: magnitude more leverage than non union workers have. And hopefully

1520
01:19:29,520 --> 01:19:32,400
Speaker 1: this is you know, a message that resonates with the

1521
01:19:32,520 --> 01:19:36,000
Speaker 1: ninety percent of non union workers. Got it. How have

1522
01:19:36,120 --> 01:19:40,400
Speaker 1: you felt about the mainstream media coverage or lack thereof,

1523
01:19:40,479 --> 01:19:44,799
Speaker 1: of this incredibly significant and potentially historic movement of workers

1524
01:19:44,840 --> 01:19:50,560
Speaker 1: across the country. Yeah, I mean, it's it's hard. I'm

1525
01:19:50,600 --> 01:19:54,160
Speaker 1: glad to see people picking it up. It's also people's

1526
01:19:54,280 --> 01:19:59,040
Speaker 1: sort of labor literacy is very low, so people will

1527
01:19:59,080 --> 01:20:02,240
Speaker 1: either vastly overstated say we're on the edge of you know,

1528
01:20:02,360 --> 01:20:04,920
Speaker 1: the most massive strike wave in history, which is not

1529
01:20:05,040 --> 01:20:09,559
Speaker 1: the case, or they'll think that, you know, people are

1530
01:20:09,600 --> 01:20:12,360
Speaker 1: saying these workers are already out on strike or things

1531
01:20:12,479 --> 01:20:14,840
Speaker 1: like that. It's hard to just get the story straight.

1532
01:20:15,000 --> 01:20:17,600
Speaker 1: And more than anything, I just wish that, you know,

1533
01:20:17,640 --> 01:20:20,080
Speaker 1: the mainstream media would talk to more workers. It's like,

1534
01:20:20,280 --> 01:20:23,200
Speaker 1: there's millions of union workers who are fighting right now

1535
01:20:23,200 --> 01:20:25,840
Speaker 1: and they are eager to talk and it's not hard

1536
01:20:25,880 --> 01:20:28,360
Speaker 1: to find them. It's just a matter of priorities. So

1537
01:20:28,400 --> 01:20:30,960
Speaker 1: that to me is the main thing. Well, I think

1538
01:20:31,000 --> 01:20:33,840
Speaker 1: we have a Kellogg's worker set to join us in

1539
01:20:33,880 --> 01:20:36,360
Speaker 1: our next show, which we're excited to learn more about

1540
01:20:36,360 --> 01:20:38,920
Speaker 1: what's going on there. Jonah. The last thing I wanted

1541
01:20:38,960 --> 01:20:41,760
Speaker 1: to get from you today, and I hope you'll come

1542
01:20:41,800 --> 01:20:46,880
Speaker 1: back again, is how does the John Deere potential strike

1543
01:20:47,520 --> 01:20:52,479
Speaker 1: tie into other issues of corruption at UAW. There seems

1544
01:20:52,520 --> 01:20:55,320
Speaker 1: to be a bit of a membership break with the

1545
01:20:55,400 --> 01:20:59,360
Speaker 1: leadership at the UAW. They have a rougherendum coming up

1546
01:20:59,720 --> 01:21:03,080
Speaker 1: vote on more democracy for members. Did these two things

1547
01:21:03,439 --> 01:21:07,120
Speaker 1: relate to one another? Absolutely? And this to me is

1548
01:21:07,160 --> 01:21:10,040
Speaker 1: honestly the kind of elephant in the room of organized

1549
01:21:10,080 --> 01:21:13,760
Speaker 1: labor right now. The UAW is about to embark on

1550
01:21:13,840 --> 01:21:17,840
Speaker 1: a court ordered vote to change from a heavily delegated

1551
01:21:17,880 --> 01:21:22,160
Speaker 1: election system to a direct election system, so working auto workers,

1552
01:21:22,160 --> 01:21:24,439
Speaker 1: people who work at John Deere would get to vote

1553
01:21:24,439 --> 01:21:27,479
Speaker 1: on who their top union leadership is, which isn't the

1554
01:21:27,520 --> 01:21:29,920
Speaker 1: case right now. This is the result of a huge

1555
01:21:30,000 --> 01:21:32,240
Speaker 1: corruption scandal. I mean, some people say it's the biggest

1556
01:21:32,240 --> 01:21:36,400
Speaker 1: corruption scandal in union history, which is honestly quite rare,

1557
01:21:36,840 --> 01:21:43,000
Speaker 1: despite narratives. But it's also a concession scandal, so poor

1558
01:21:43,160 --> 01:21:46,479
Speaker 1: union contracts that have kept these workers below what they

1559
01:21:46,520 --> 01:21:48,840
Speaker 1: think they should be making, below what the companies are

1560
01:21:48,840 --> 01:21:51,360
Speaker 1: making for a long time. So we're looking in the

1561
01:21:51,479 --> 01:21:54,320
Speaker 1: UAW at a massive strike that is coming at a

1562
01:21:54,320 --> 01:21:59,080
Speaker 1: politically very tenuous moment for the national union leadership of

1563
01:21:59,120 --> 01:22:02,800
Speaker 1: the UAW, and it's a chance for these workers to

1564
01:22:02,800 --> 01:22:05,559
Speaker 1: say we want to take this union in another direction,

1565
01:22:05,800 --> 01:22:09,160
Speaker 1: not just a non corrupt direction that's a given, but

1566
01:22:09,400 --> 01:22:11,960
Speaker 1: a direction that's ready to fight, is not going to

1567
01:22:12,000 --> 01:22:14,479
Speaker 1: settle for week contracts, is not going to sell out

1568
01:22:14,800 --> 01:22:18,360
Speaker 1: other future contracts for current gains. And that's the mood

1569
01:22:18,640 --> 01:22:20,880
Speaker 1: if you talk to these deer workers, they want to

1570
01:22:20,920 --> 01:22:23,160
Speaker 1: see not just a win in this contract, but a

1571
01:22:23,200 --> 01:22:25,800
Speaker 1: lot of members are saying we need the UAW and

1572
01:22:25,840 --> 01:22:28,439
Speaker 1: the labor movement to change, to be ready to fight

1573
01:22:28,760 --> 01:22:32,000
Speaker 1: and to be more democratic and responsive to the needs

1574
01:22:32,040 --> 01:22:35,760
Speaker 1: of members on the job. Yeah, well, it's a really

1575
01:22:35,760 --> 01:22:37,560
Speaker 1: important job that you're doing, Jonah. We're going to have

1576
01:22:37,560 --> 01:22:39,639
Speaker 1: a link down there to your substack that we encourage

1577
01:22:39,640 --> 01:22:41,320
Speaker 1: everybody to go and subscribe to one of the only

1578
01:22:41,320 --> 01:22:43,559
Speaker 1: people actually covering what's going on out there. We hope

1579
01:22:43,560 --> 01:22:45,559
Speaker 1: you'll join us again, and we really appreciate you joining us.

1580
01:22:45,600 --> 01:22:50,280
Speaker 1: Thank you, Thanks Jana, great to have you. Thanks absolutely. Okay, guys,

1581
01:22:50,320 --> 01:22:51,680
Speaker 1: thanks so much for watching. It's been great to have

1582
01:22:51,680 --> 01:22:55,400
Speaker 1: Crystal back here. Look, just so we've been open and

1583
01:22:55,520 --> 01:22:58,960
Speaker 1: every time. Yesterday Crystal Well Marshall's here, we had two

1584
01:22:58,960 --> 01:23:01,600
Speaker 1: segments which were demonel So that's just kind of par

1585
01:23:01,720 --> 01:23:03,800
Speaker 1: for the course about what we deal with here at

1586
01:23:03,840 --> 01:23:06,479
Speaker 1: breaking points. Once again, it's not that we care. We're

1587
01:23:06,520 --> 01:23:09,559
Speaker 1: just giving you as an example of how exactly we

1588
01:23:09,600 --> 01:23:12,320
Speaker 1: can pay our bills keep the show going. And that's

1589
01:23:12,320 --> 01:23:14,439
Speaker 1: why premium subscription matters so much to us. So if

1590
01:23:14,479 --> 01:23:16,479
Speaker 1: you can help us out, we deeply appreciate. It's a

1591
01:23:16,479 --> 01:23:19,519
Speaker 1: link down there in description. Thank you very much, Love you, guys,

1592
01:23:19,640 --> 01:23:22,040
Speaker 1: have a fantastic day. We'll have some stuff posted for

1593
01:23:22,120 --> 01:23:23,840
Speaker 1: you tomorrow, and we'll be back with a full show

1594
01:23:23,880 --> 01:23:40,200
Speaker 1: on Thursday. We'll see you then. Thanks for listening to

1595
01:23:40,200 --> 01:23:42,240
Speaker 1: the show, guys, we really appreciate it. To help other

1596
01:23:42,280 --> 01:23:44,240
Speaker 1: people find the show, go ahead and leave us a

1597
01:23:44,280 --> 01:23:47,400
Speaker 1: five star rating on Apple Podcasts or wherever you get

1598
01:23:47,400 --> 01:23:50,920
Speaker 1: your podcasts. Really helps other people find the show. As

1599
01:23:50,960 --> 01:23:55,320
Speaker 1: always special thank you to Supercast for powering our premium membership.

1600
01:23:55,400 --> 01:23:58,000
Speaker 1: If you want to find out more, go to Crystalansager

1601
01:23:58,160 --> 01:23:58,879
Speaker 1: dot com