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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 Thursday. We have an amazing show for everybody today.

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Speaker 1: What do we have, Crystal, indeed, we do less of

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Speaker 1: stories we're tracking this morning. An update for you on

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Speaker 1: the Ukraine situation. Biden met with Putin and a look

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Speaker 1: kind of overall at his foreign policy which has been

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Speaker 1: a little bit all over the place so far, and

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Speaker 1: his presidency. Some conflicting signals there, some good, some bad.

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Speaker 1: Twitter has suspended the Nancy Pelosi portfolio tracker account and

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Speaker 1: also an account that was just providing updates on the

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Speaker 1: Glen Maxwell trial. They also have some new policies again

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Speaker 1: that they announced this again all since that new CEO

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Speaker 1: took over. Very troubling signs there. Happy anniversary to NAFTA,

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Speaker 1: the terrible free trade agreement signed during the Clinton administration

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Speaker 1: which devastated many American towns. We have a new analysis

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Speaker 1: on just how devastating that was, not just economically but

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Speaker 1: for Democrats politically. Update on the whole Jesse Smollett situation.

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Speaker 1: New little twist which is that Don Lemon was apparently

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Speaker 1: texting him tipping him off to the fact that the

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Speaker 1: police were not really buying his story, got it? Did

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Speaker 1: Lemon have anything to say about that on his broadcast?

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Speaker 1: We'll let you know. We'll let you know. Also, Katie

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Speaker 1: Helper is going to join us. I did a live

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Speaker 1: stream with her last night along with Brad and Joy

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Speaker 1: Gray and Mary and Williamson try to raise funds for

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Speaker 1: Steven Donziger's legal defense fund. He of courses in prison

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Speaker 1: for the crime of trying to hold Chevron accountable for

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Speaker 1: the devastation that they inflicted on people in Ecuador. But

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Speaker 1: we wanted to start with some really interesting polls. Lot

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Speaker 1: of warning signs here for Democrats, but also a few

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Speaker 1: warning signs here for Republicans too as they look forward.

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Speaker 1: Let's go ahead and throw this tear sheet up on

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Speaker 1: the screen. This is from the Wall Street Journal. Their

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Speaker 1: headline reads, voters pessimistic about economy, Biden's leadership. Wall Street

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Speaker 1: Journal polls fines. First survey in the Wall Street Journal's

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Speaker 1: new polling effort shows Republicans in strong position, though Democrats

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Speaker 1: have advantages in some policy areas. Kind of the headline numbers,

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Speaker 1: we can put this next tweet up on the screen

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Speaker 1: with the approval ratings and where things stand. So Josh

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Speaker 1: crash Our says, Biden, I approve at forty one, disapprove

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Speaker 1: at fifty seven. Noteworthy there too, he has the strong

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Speaker 1: approve is only nineteen, Yes, the strong disapprove is forty six.

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Speaker 1: You don't want to be there generic ballot, GOP leads

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Speaker 1: by three points. That's roughly the margin of error. But

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Speaker 1: Republicans also have a structural advantage when it comes to

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Speaker 1: Congress and also to the Senate. Party better able to

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Speaker 1: deal with the economy. This is a devastating one Republicans

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Speaker 1: forty six, Dems thirty five. That's terrible, terrible. So top

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Speaker 1: line numbers very very ugly for Democrats and it doesn't

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Speaker 1: get much better from there. We'll get to some of

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Speaker 1: the warning signs for Republicans at a moment, But I

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Speaker 1: just kept coming back to when you think about the

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Speaker 1: way Biden campaigned in a way, he really promised nothing. Yes,

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Speaker 1: it was very vague, it was very you know, it

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Speaker 1: was like a collection of slogans and catchphrases, and mostly

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Speaker 1: the promise was less and we're going to get rid

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Speaker 1: of Trump and this guy's you know, been obnoxious and

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Speaker 1: terrible and you're all sick of him. Oh that was enough.

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Speaker 1: But on the other hand, because he promised things like

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Speaker 1: returned to normal, like restore the soul of America, well,

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Speaker 1: in a sense, those are actually really big promises. And

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Speaker 1: so the fact that we still have a pandemic, we

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Speaker 1: still are having to worry about new variants, and you know,

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Speaker 1: still going to worry about masks and is my kid

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Speaker 1: going to be able to go to school this week?

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Speaker 1: And all of these things, So there isn't a sense

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Speaker 1: of like, oh, we're back to normal. You layer on

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Speaker 1: top of that the inflation concerns, which are voters' top

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Speaker 1: concerns here, which I think Democrats look some of. It's

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Speaker 1: a lot of it's out of their control, and a

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Speaker 1: lot of these are supply chain issues that you know

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Speaker 1: came naturally out of the pandemic. But there's also not

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Speaker 1: a sense that they really care that much about it.

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Speaker 1: That's a big problem. And then on the restore the

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Speaker 1: Soul of America piece, I mean, do you feel like

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Speaker 1: America's soul is restored? I particularly don't. We're doing our

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Speaker 1: best here, but we tried. It's all a lot of

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Speaker 1: work to be done. So I actually think because he

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Speaker 1: had these amorphous slogans and catchphrases that actually amounted to

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Speaker 1: really high bars if you look at it through a

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Speaker 1: certain prism, we're not back to normal. America still feels

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Speaker 1: divided as ever. You can understand why people look at

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Speaker 1: the state of affairs and feel pretty depressed and pretty

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Speaker 1: down on the party that controls the White House, the Senate,

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Speaker 1: and the House. Yes, and there are deeper issues here

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Speaker 1: also for the Democrats, which is the right track wrong track?

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Speaker 1: In this poll, sixty three percent wrong track, twenty seven

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Speaker 1: percent say right track. I really want to meet these people.

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Speaker 1: They must all be rich. I don't really know what

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Speaker 1: they are. But on the issues themselves, these are also

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Speaker 1: very important. For These are the areas where Republicans have

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Speaker 1: the advantage. Rebuilding the economy forty six percent say they

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Speaker 1: trust the GOP thirty five percent Democrats. That's a disaster.

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Speaker 1: Get inflation under control. This is even worse for the Democrats.

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Speaker 1: Forty four percent say Republicans. Twenty six percent say Democrats.

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Speaker 1: Secure the border fifty two percent Republicans, sixteen percent Democrats.

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Speaker 1: Where do Democrats have an advantage? Their biggest one is

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Speaker 1: actually get pandemic under control forty one percent versus twenty

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Speaker 1: five percent. Now here's the problem. People don't care nearly

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Speaker 1: as much about the pandemic right now than they did

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Speaker 1: in November of twenty twenty. Improve education thirty eight percent Democrat,

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Speaker 1: twenty nine percent Republican. Make health care affordable. This is

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Speaker 1: actually the biggest one forty seven percent, twenty five percent,

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Speaker 1: forty seven percent obviously for the Democrats. So really what

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Speaker 1: it is is about which of those issue areas is

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Speaker 1: top of mind for most Americans. On the aggregate, It's

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Speaker 1: going to be the economy, and to the extent that

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Speaker 1: its culture, it will probably be the border. Both of

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Speaker 1: those places are where the Republicans are leading by a mile,

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Speaker 1: so and when you look at where exactly the debate is,

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Speaker 1: that goes to show why it is such a strong disapproval.

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Speaker 1: The other part that really strikes me here is that

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Speaker 1: Biden has achieved something that is remarkable. He is as

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Speaker 1: disliked as Donald Trump in terms of his strong disapproval

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Speaker 1: and also has none of the strong maga approval. That

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Speaker 1: kind of explains why his decline has been so precipitous.

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Speaker 1: As Trump famously said, he probably could shoot somebody on

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Speaker 1: Fifth Avenue and most people would stick by him and

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Speaker 1: nobody would care. However, he also had a vehement opposition

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Speaker 1: amongst a large segment of the population. They kind of

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Speaker 1: balance each other out. He had very very high strong

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Speaker 1: disapproval and strong approval. Biden has very soft approval. Most

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Speaker 1: people are like if they do like him, we're like, yeah,

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Speaker 1: I guess, uh, better than Trump. Yeah, better than Trump.

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Speaker 1: And then people who hate him are like, I really

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Speaker 1: hate Joe Biden. And this is a part of negative polarization,

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Speaker 1: but also just the type of leader that Biden cast

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Speaker 1: himself as. I'm also thinking about what you said, which

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Speaker 1: is that it's very important when you promise nothing and

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Speaker 1: also everything restore the soul of him. Well, then you're

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Speaker 1: actually just going to be very much, you know, thrown

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Speaker 1: into the hands of whatever the economic tides are. I mean,

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Speaker 1: I think Trump would have survived this. I think that

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Speaker 1: inflation would have been just as out of control under Trump.

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Speaker 1: I think gas prices would have been just as out

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Speaker 1: of control under Trump. But Trump would would have been

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Speaker 1: out there every single day either blaming the Democrats or

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Speaker 1: pretending to do something about it, or you know, whatever

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Speaker 1: the next culture war controversy was, and that wouldn't really

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Speaker 1: be top of mind for a lot of people. What

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Speaker 1: you're pointing out is that Trump knows how to drive

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Speaker 1: a new cycle. And I would say the right in

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Speaker 1: general much much better at this where they decide what

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Speaker 1: fights they want to have. That's true right in Virginia

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Speaker 1: they decided, and look, I think the CRT thing in

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Speaker 1: Virginia was overblown. I think you can look at these

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Speaker 1: numbers and see a lot more about what the national

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Speaker 1: trends are. But they decided what conversation they wanted to

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Speaker 1: have in Virginia. Biden, on the other hand, is so

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Speaker 1: absent and so you know, so checked out of the

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Speaker 1: national conversation that he truly is just buffeted by the

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Speaker 1: winds of whatever happens to be going on, especially after

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Speaker 1: those first couple months when look, there was a sense

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Speaker 1: of Okay, vaccines are going on, and that's actually going

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Speaker 1: pretty well. And if you guys will remember back, that

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Speaker 1: was a big question because depressingly, in this country, it

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Speaker 1: seems like everything we try to do just is like

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Speaker 1: falls apart and fails and becomes some total, you know,

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Speaker 1: bureaucratic nightmare. But the vaccine roll out under Biden, it

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Speaker 1: actually went well. People were getting vaccinated, and there was

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Speaker 1: an optimism there right away, passed pretty quickly a significant

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Speaker 1: relief bill where people got a check in their account

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Speaker 1: right away, and he had very strong approval ratings then

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Speaker 1: and then he let his and this is one hundred

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Speaker 1: percent his fault. No one else to blame here. He

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Speaker 1: let his agenda get completely bogged down. And so you know, yeah,

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Speaker 1: they got this infrastructure thing passed that is woefully inadequate

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Speaker 1: and that people aren't really going to feel or see

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Speaker 1: or be able to touch in their town for years

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Speaker 1: and even I mean again, this is so much less

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Speaker 1: than even just to restore our infrastructure to like where

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Speaker 1: it needs to be, let alone a big national project

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Speaker 1: that people can really get excited about and get behind

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Speaker 1: and restore some sort of national pride and feel like

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Speaker 1: the country is on the up again rather than permanent decline.

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Speaker 1: He let it all get bogged down. You know, he

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Speaker 1: decided he wanted to go for these bipartisan votes. He

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Speaker 1: lost momentum when really he should have front loaded everything

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Speaker 1: he could into that initial relief package when there was

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Speaker 1: a lot of a lot of momentum and a lot

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Speaker 1: of pressure to actually get something done. Then so listen,

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Speaker 1: a lot of things are out of a president's control.

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Speaker 1: But the reality is a lot of this in terms

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Speaker 1: of where he stands politically, lies directly at his feet,

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Speaker 1: and he has no one else to blame it. It's

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Speaker 1: narrative control, is frame control. I mean, but the Bully

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Speaker 1: Pulp at Doris corn Current's Goodwin book is very goes

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Speaker 1: very much into this. I mean Teddy Roosevelt, you know,

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Speaker 1: very famously is through energy and action alone, you actually

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Speaker 1: can transform the nation just through being who you are

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Speaker 1: and using the office of the presidency. Trump, you didn't

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Speaker 1: necessarily use it for good, but he used it for

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Speaker 1: himself and it worked out quite well. But the one

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Speaker 1: part of this poll that sticks out is this, let's

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Speaker 1: put it up there on the screen from Ryan Gardusky

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Speaker 1: in twenty twenty four, would you vote for Trump or Biden?

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Speaker 1: Trump forty five, Biden forty six, But then ask should

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Speaker 1: we continue Biden's policies or move trump policies? Trump forty eight,

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Speaker 1: Biden forty six. I'll add this, almost any poll I

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Speaker 1: ever saw with Trump underestimate him by like two or

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Speaker 1: three points. So maybe Trump comes out on top of that.

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Speaker 1: On the policy question, I don't think most people give

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Speaker 1: a damn about policy. I don't think that's irrelevant. But

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Speaker 1: compare that to the forty six twenty six on inflation

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Speaker 1: forty six whatever, you know, thirty on the economy, it's

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Speaker 1: not even close. And what does that show you? Trump

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Speaker 1: is so odious. Many millions of people will still forego

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Speaker 1: their objections over inflation, their objections over the economy, and say,

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Speaker 1: hell no, I'm not going yeack to that. And I

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Speaker 1: think that's an important lesson in many ways. Trump is

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Speaker 1: also one of the only Republicans who could win, and

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Speaker 1: also one of the Republicans who is so noxious to

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Speaker 1: the national public that he makes it so that any

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Speaker 1: election that he's involved in was going to be razor thin,

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Speaker 1: razor tight about how it comes down in the end. See,

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Speaker 1: I actually think at this point the Republican Party would

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Speaker 1: have a better shot at winning next time around if

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Speaker 1: it's not Trump. I think. I think if you put

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Speaker 1: just look at the numbers, I mean, if you put

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Speaker 1: generic Republican in, they beat generic Democrat. They beat Democrats

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Speaker 1: on inflation, on the economy, on all these things. Then

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Speaker 1: when you say, well, how about Trump versus Biden, people

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Speaker 1: are like em I think I might stick with Biden. So,

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Speaker 1: you know, I mean, because think about where Biden is

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Speaker 1: right now. Can things get worse for him? Maybe, but

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Speaker 1: this could be the low point for him. I thought

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Speaker 1: that three months ago, and for him to still be

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Speaker 1: you know, basically, you know, it'd be a coin toss

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Speaker 1: whether he would beat Trump today or Trump would beat him.

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Speaker 1: That's actually better position than I thought he was in

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Speaker 1: if you consider, you know, what's likely to happen in

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Speaker 1: twenty twenty four. So if even at this, you know,

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Speaker 1: pretty low point for Biden, Trump is not even close

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Speaker 1: to a shoe in. While Republicans overall, and look, this

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Speaker 1: is not because they're good or great or offering anything.

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Speaker 1: They're literally not even running on anything for the midterm election.

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Speaker 1: But they calculate they don't have to. We can just let,

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Speaker 1: you know, let Democrats do their thing and stand back

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Speaker 1: and attack them, and that's going to be enough. It's

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Speaker 1: a sad state of affairs, but that's where we are.

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Speaker 1: So so that's interesting. The other piece, and we should

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Speaker 1: take this with a big grain of salt. This caught

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Speaker 1: a lot of attention the Latino numbers in this pool. First,

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Speaker 1: let me say, the sample size is only, what is it,

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Speaker 1: one hundred and sixty five people, and there's a margin

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Speaker 1: of air of eight points, so million grains of salt. However,

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Speaker 1: it shows Biden and Trump basically tied a Latino voters.

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Speaker 1: Let's throw Kornack, He's sweet up on the screen. Here,

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Speaker 1: and he points out there's a huge gender gap here

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Speaker 1: among Hispanic voters as well, And again this is a

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Speaker 1: really small sample size. So to then go and further

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Speaker 1: break it down into men and women is you know,

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Speaker 1: again you're adding to that margin of error. But for

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Speaker 1: Hispanic women in this poll, Biden's job performs basically evenly split.

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Speaker 1: Hispanic men on the other hand, minus twenty three. On

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Speaker 1: the generic ballot, So would you vote for a generic

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Speaker 1: DEM or a generic Republican In twenty twenty two, Hispanic

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Speaker 1: women say Dem plus seventeen, Hispanic men GOP plus sixteen,

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Speaker 1: And in terms of the White House in twenty four,

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Speaker 1: Hispanic women Biden plus twenty five, Hispanic men Trump plus

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Speaker 1: twenty three. So again it's a really small sample size,

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Speaker 1: but it does track with some of the trends that

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Speaker 1: we have seen in terms of Latinos being won over

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Speaker 1: by Republicans. Of course, we covered the analysis of how

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Speaker 1: that community feels about Latin AX terminology, and which again

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Speaker 1: I don't think it's like the biggest thing is just

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Speaker 1: symbolic of the way that at least a significant part

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Speaker 1: of you know, of that demographic is feeling like these

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Speaker 1: people don't get me. They don't understand me. They're looking

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Speaker 1: down their nose at me. They're like a different you know, class,

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Speaker 1: and this is really not for me. So I think

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Speaker 1: that's kind of what's going on. Honestly validates a lot

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Speaker 1: of what I've said, which has pissed a lot of

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Speaker 1: people off about barstool conservatism. I was like, and a

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Speaker 1: friend of mine pointed this out. He's like, you know,

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Speaker 1: a lot of this is just a realignment not necessarily

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Speaker 1: towards working class party, but non education. And when I

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Speaker 1: say non educated, I'm not casting as non college educated men.

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Speaker 1: I really think that's what the future of the Republican

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Speaker 1: Party holds. And Gustavo, I think his last name is Oreana,

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Speaker 1: who we had on the show during the recall election.

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Speaker 1: Oh yeah. He coined a term which has really stuck

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Speaker 1: with me called ronchero libertarianism, which explains a lot of

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Speaker 1: the the how exactly some body can vote for a

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Speaker 1: Trump is style candidate hold a position where they're pro

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Speaker 1: medicare for all and also like not for abortion, but

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Speaker 1: also pro gun rights. It doesn't track on most of

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Speaker 1: the way that we think about culture wars or politics today,

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Speaker 1: but that's actually what a large percentage of Latino non

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Speaker 1: college educated men kind of fall into that category, especially

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Speaker 1: down Rio Grande Valley in California. Remember that that the

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Speaker 1: entire way the demographics slip in the support for Gavin

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Speaker 1: Newsom recall and more, Newsome lost a significant amount of

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Speaker 1: ground amongst Latinos, and a lot of it was along

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Speaker 1: lockdown procedure. So I think once again that this culture war,

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Speaker 1: as it moves away from the nineteen nineties into anti

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Speaker 1: PC stuff, it really does validate the barsool conservative thesis

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Speaker 1: that I've kind of put forward, especially around men, like

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Speaker 1: non college educated men, called grill dad conservatism. You can

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Speaker 1: call it whatever you want, but a lot of that

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Speaker 1: stuff it seems to be moving and tracking in that direction.

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Speaker 1: The Youngkin results also kind of validate that as well.

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Speaker 1: Where you know, young and depending on which exit pole

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Speaker 1: we don't have the verified ones, he either came within

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Speaker 1: nine points of winning Hispanics or he completely tied. I

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Speaker 1: mean either that's a disaster, you know, especially and if

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Speaker 1: you break that down by men, it was even you know,

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Speaker 1: plus twenty or something like that same thing here in

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Speaker 1: the Biden data. So it's it's just a good it's

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Speaker 1: an interesting snapchot, Yeah, where's the country yet? Well, and

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Speaker 1: I mean remember who did best among Latinos on the

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Speaker 1: Democratic primers Bernie Sanders, which gets to the point of

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Speaker 1: Latino men as well. You know, there can be this

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Speaker 1: sort of knee jerk like, oh, well they're just like conservative.

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Speaker 1: It's a lot more, it's a lot more complicated than that,

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Speaker 1: because yeah, there was a first of all, Bernie's campaign

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Speaker 1: made an actual effort to message and not in a

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Speaker 1: blanket like we're gonna decide that immigration is the only

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Speaker 1: thing you probably care about and you know, use terminology

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Speaker 1: that gives super well with them. Actually yeah, yeah, Medicare

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Speaker 1: for All was a big winner in that community. And

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Speaker 1: also again just the effort that was put in and

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Speaker 1: Republicans have decided and made a concerted effort under Trump

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Speaker 1: that we're going to try to reach out to this community.

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Speaker 1: And you can see that there's a lot of fruit

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Speaker 1: being bored. I mean, this is a key swing constituency

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Speaker 1: at this point, and all of our talk about how

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Speaker 1: hardened things are and how tribal and how polarized, you

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Speaker 1: can see this demographic moving in real time and truly

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Speaker 1: up for grabs. So so anyway, again, It's a small

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Speaker 1: sample size, but it's yet another data point of Democrats

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Speaker 1: had this completely arrogant assumption the coalition of the Ascendant

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Speaker 1: that as demographics change in the country, it was going

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Speaker 1: to be lights out, game over for the Republicans because

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Speaker 1: they had this, you know, the Obama coalition that was

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Speaker 1: just going to keep building, and that the assumption was

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Speaker 1: Latinos would move more into their camp over time and

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Speaker 1: look like the voting margins of the African American community

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Speaker 1: ain't working out for them so well. So we'll see

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Speaker 1: what happened. That's right, Okay, let's move on to talk

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Speaker 1: about Ukraine. Obviously, this is one of the most important

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Speaker 1: geopolitical flashpoints. We kept an eye on it last time.

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Speaker 1: Things have been updated. Last time, we told you about

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Speaker 1: how Biden and Putin were going to have a phone call.

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Speaker 1: So the phone call has happened. Now. There's some interesting

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Speaker 1: ways to parse this. On the one hand, Biden said

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Speaker 1: that he was not basically ruled out any idea of

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Speaker 1: unilateral US troops on the ground in Ukraine in response

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Speaker 1: to a Russian invasion, but that does not mean that

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Speaker 1: it's not still a very hard position against a potential

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Speaker 1: Ukrainian invasion. Let's put this up there on the screen.

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Speaker 1: In terms of what he actually said, I thought this

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Speaker 1: was the most noteworthy part that a lot of journalists

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Speaker 1: are mission missing. President Biden told Russian President Vladimir Putin

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Speaker 1: on Tuesday, things we did not do in twenty fourteen,

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Speaker 1: we are prepared to do now if Russia escalates in Ukraine,

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Speaker 1: and National Security Advisor Jake Sullivan reiterated that to the press.

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Speaker 1: I found that very noteworthy because what they're basically saying

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Speaker 1: is we're willing to go farther than we did to

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Speaker 1: the Russian annexation of Crimea in twenty fourteen, which resulted

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Speaker 1: in kicking Russia out of the G eight, which resulted

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Speaker 1: in all kinds of different sanctions. In the fact that

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Speaker 1: Europe essentially like economically blockaded Russia for a couple of

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Speaker 1: years till they decided they wanted that gas, and then

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Speaker 1: they decided to forget about it, but learned to after

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Speaker 1: a couple of years, like, ah, you know, like it

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Speaker 1: is what it is, give me that gas. But again,

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Speaker 1: what I said about unilateral put this up. The next

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Speaker 1: one from Jennifer Jacobs aft if he would put troops

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Speaker 1: on the ground in Russia. President Biden says, if it

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Speaker 1: were a NATO ally, we would of course have that obligation. True,

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Speaker 1: but the US won't unilaterally put US troops on the ground.

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Speaker 1: And he further went on to say it was very

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Speaker 1: difficult to parse his answer. It was like four minutes

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Speaker 1: or though, we would have played it for you. But

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Speaker 1: he was like, we're going to follow the lead of

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Speaker 1: other people in the region. Now, Biden was getting some

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Speaker 1: praise from people Crystal for saying, oh, he said he

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Speaker 1: wouldn't put US troops, but that's not what he said.

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Speaker 1: He said that we would do it unilaterally. What he

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Speaker 1: said is he opened the door to the idea that

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Speaker 1: Pole in Latvia, Ukraine and Stonya or whatever, any of

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Speaker 1: the NATO countries in the area who might want to

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Speaker 1: lead us as part of some coalition into Ukraine. He

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Speaker 1: kept the door open to that. I think that's completely bonkers,

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Speaker 1: yeah and crazy. I mean, what have we learned people

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Speaker 1: from the last NATO mission, which was most people don't

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Speaker 1: know this Libya, where NATO actually dragged us into the

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Speaker 1: total morass bombing in that country for some humanitarian mission

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Speaker 1: totally worked out right, because you know, Libya to this

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Speaker 1: day is like there's like modern slavery or whatever in Libya,

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Speaker 1: and it's the number one departure point for African migrants

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Speaker 1: in the continent. It's basically completely split apart and isis

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Speaker 1: was there for a while. It's a hellhole. It's terrible. No. Look,

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Speaker 1: you know, I'm not criticizing the Libyan people, no disent,

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Speaker 1: saying no disrespect. I'm saying it's they they deserve a

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Speaker 1: lot better. I agree, it sounds like a beautiful country,

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Speaker 1: great food also, but what I can see is that

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Speaker 1: it's very obvious that we get to dragged. We had

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Speaker 1: no idea what we're going to be doing in this country.

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Speaker 1: And this is pure Beltwey brain because what it is,

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Speaker 1: and what I mean by that is that there is

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Speaker 1: a very hot discussion right now in the United States

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Speaker 1: and especially in DC, where people are saying, oh, the

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Speaker 1: lesson from Afghanistan is that we have to show the

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Speaker 1: world that we're willing to fight. And it's like, hold

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Speaker 1: on a second, it's not all just about norms, it's

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Speaker 1: about practicality. Ukraine is not a NATO ally, they have

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Speaker 1: no zero obligation under for US under Article five in

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Speaker 1: order to defend them. You also look at history. Ukraine

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Speaker 1: has been part of the greater Russian Empire for like

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Speaker 1: on and off for like six hundred years. Yes, I know,

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Speaker 1: also part of the Polish to the German, etc. Contested land.

430
00:22:46,440 --> 00:22:48,480
Speaker 1: And none of this has anything to do with the

431
00:22:48,560 --> 00:22:51,440
Speaker 1: Ukrainian people, who deserve the best. I want the best

432
00:22:51,480 --> 00:22:54,280
Speaker 1: for them and self determination. But it's a sad, tough

433
00:22:54,320 --> 00:22:59,600
Speaker 1: world and sometimes larger states that desire conquest for their

434
00:22:59,600 --> 00:23:02,440
Speaker 1: own desa are going to do that. And it comes

435
00:23:02,480 --> 00:23:04,919
Speaker 1: down to whether US as the United States, should do

436
00:23:04,960 --> 00:23:07,560
Speaker 1: something about it or no. Like I said, Biden is

437
00:23:07,600 --> 00:23:09,760
Speaker 1: not saying We're going to unilaterally do something. But I

438
00:23:09,760 --> 00:23:12,679
Speaker 1: think that opening the door to potential US deployment of

439
00:23:12,680 --> 00:23:16,280
Speaker 1: troops on the ground in Ukraine would a validate you know,

440
00:23:16,520 --> 00:23:18,800
Speaker 1: a lot of the doubts that the Russian people have

441
00:23:18,920 --> 00:23:22,200
Speaker 1: and that Putin and them have around NATO encirclement of

442
00:23:22,280 --> 00:23:25,000
Speaker 1: Russia and more. And second, is that just the last

443
00:23:25,000 --> 00:23:26,680
Speaker 1: thing that we need right now? Well, you literally the

444
00:23:26,760 --> 00:23:28,120
Speaker 1: last thing that we need right now. You can see

445
00:23:28,119 --> 00:23:31,240
Speaker 1: in Biden's comments why Russia is so sensitive about the

446
00:23:31,280 --> 00:23:35,280
Speaker 1: idea of having more NATO countries right on their border

447
00:23:35,400 --> 00:23:38,480
Speaker 1: because if Ukraine was a NATO. I mean, he's saying,

448
00:23:38,520 --> 00:23:41,840
Speaker 1: if Ukraine was a NATO ally, we'd be sent in troops. Also,

449
00:23:41,880 --> 00:23:44,680
Speaker 1: we did invite Ukraine into NATO. You know, people forget

450
00:23:44,720 --> 00:23:49,280
Speaker 1: this over two decades ago, and you know, counterintuitively perhaps,

451
00:23:49,400 --> 00:23:52,600
Speaker 1: but I was mentioning this on the last show. Russia's

452
00:23:52,640 --> 00:23:56,359
Speaker 1: moves have actually made the Ukrainian people more interested in

453
00:23:56,440 --> 00:23:58,800
Speaker 1: joining NATO. Where it was just a few years ago

454
00:23:58,840 --> 00:24:02,200
Speaker 1: like twelve to fourteen percent, now it's majority support. So

455
00:24:02,720 --> 00:24:06,560
Speaker 1: his aggression has also backfired in terms of sentiment within

456
00:24:06,640 --> 00:24:09,560
Speaker 1: the country. But you know, the other thing is here.

457
00:24:10,000 --> 00:24:12,560
Speaker 1: Even if you put aside the possibility of troops on

458
00:24:12,600 --> 00:24:15,280
Speaker 1: the Grodwitch, I think is a relatively remote possibility, because

459
00:24:15,359 --> 00:24:17,280
Speaker 1: let me tell you, if you pulled that, what would

460
00:24:17,280 --> 00:24:19,840
Speaker 1: it be like friggin five percent of the public that'd

461
00:24:19,880 --> 00:24:22,959
Speaker 1: be go troops. And you know in Ukraine, no one

462
00:24:23,040 --> 00:24:26,399
Speaker 1: wants that. Not that our politicians always listen to what

463
00:24:26,440 --> 00:24:30,640
Speaker 1: the people want, but even like the whole well, we're

464
00:24:30,640 --> 00:24:33,760
Speaker 1: gonna we're gonna sanction them a lot more. And has

465
00:24:33,800 --> 00:24:36,640
Speaker 1: this stuff worked It depends, I mean, because you think

466
00:24:36,680 --> 00:24:39,879
Speaker 1: about how's it worked in Cuba, how's it worked in Iran,

467
00:24:39,960 --> 00:24:42,199
Speaker 1: how's it worked in Venezuela? Even with Russia. I mean,

468
00:24:42,200 --> 00:24:44,040
Speaker 1: we sanctioned the hell out of them last time. Did

469
00:24:44,040 --> 00:24:46,560
Speaker 1: that check their behavior? Now? That's part of what I've

470
00:24:46,600 --> 00:24:48,200
Speaker 1: been arguing this with a lot of friends. People like,

471
00:24:48,520 --> 00:24:51,040
Speaker 1: sanction them. I'm like, listen, that's great, you can do it, Okay.

472
00:24:51,080 --> 00:24:53,560
Speaker 1: Are the Europeans who actually have them on the continent

473
00:24:53,680 --> 00:24:55,920
Speaker 1: going to do anything about it? Because what happened last time?

474
00:24:56,240 --> 00:24:58,240
Speaker 1: Markel and all of them, they talked a huge game.

475
00:24:58,480 --> 00:25:02,320
Speaker 1: Nordstream two is greenlit like for years, even that like

476
00:25:02,600 --> 00:25:05,200
Speaker 1: oftentimes this is happening, and we're going to talk about

477
00:25:05,200 --> 00:25:07,640
Speaker 1: Saudi and Yemen. This is happening in Yemen right now.

478
00:25:07,760 --> 00:25:11,160
Speaker 1: Saudi's calculus was, if we do this embargo, we make

479
00:25:11,240 --> 00:25:14,439
Speaker 1: life miserable for the people of Yemen, well that's going

480
00:25:14,480 --> 00:25:17,560
Speaker 1: to cause the regime to fall. Well it's been the opposite.

481
00:25:17,600 --> 00:25:22,760
Speaker 1: It sparked nationalist fervor. It's actually made the conflict more intractable,

482
00:25:23,200 --> 00:25:28,080
Speaker 1: more entrenched, and so you know, they can have a

483
00:25:28,119 --> 00:25:31,359
Speaker 1: backlash effect too. It's not like there's this thinking that, oh,

484
00:25:31,440 --> 00:25:33,560
Speaker 1: if we sanction them, we make life difficult for them,

485
00:25:33,560 --> 00:25:36,080
Speaker 1: then it's going to force them the table. Oftentimes in

486
00:25:36,160 --> 00:25:38,800
Speaker 1: backfires because people are freaking stubborn and they feel like

487
00:25:38,840 --> 00:25:41,120
Speaker 1: if we're being attacked and you're making our life difficult,

488
00:25:41,160 --> 00:25:43,320
Speaker 1: helldo We're not going to give you what you want.

489
00:25:43,359 --> 00:25:45,800
Speaker 1: That's not going to happen. So, I mean, even again,

490
00:25:45,800 --> 00:25:48,280
Speaker 1: if we just look at past history with Russia, this

491
00:25:48,400 --> 00:25:51,199
Speaker 1: hasn't worked. And I don't care whether these oligarchs can

492
00:25:51,240 --> 00:25:52,960
Speaker 1: get their money or whatever. I mean, that was the

493
00:25:52,960 --> 00:25:54,920
Speaker 1: big thing that we did last time, is like, let's

494
00:25:54,920 --> 00:25:56,840
Speaker 1: try to make it difficult for the oligarchs. And I

495
00:25:56,880 --> 00:25:59,239
Speaker 1: certainly have no love loss for them, but if you're

496
00:25:59,280 --> 00:26:01,679
Speaker 1: going to actually go to the extent of trying to

497
00:26:01,680 --> 00:26:04,840
Speaker 1: make life difficult for the Russian people, first of all,

498
00:26:05,119 --> 00:26:07,680
Speaker 1: it's immoral, and second of all, even if you put

499
00:26:07,680 --> 00:26:11,480
Speaker 1: the morality of it aside, it just doesn't really work.

500
00:26:11,520 --> 00:26:13,600
Speaker 1: It hasn't worked with Russia, it hasn't worked with Cuba,

501
00:26:13,680 --> 00:26:16,359
Speaker 1: it hasn't worked with Iran, it hasn't worked with Venezuela.

502
00:26:16,520 --> 00:26:20,200
Speaker 1: So it's more to me a theater of like chest

503
00:26:20,240 --> 00:26:22,400
Speaker 1: beating and let's show the world how tough we are

504
00:26:22,440 --> 00:26:24,440
Speaker 1: and we're going to say no to putin or whatever,

505
00:26:25,040 --> 00:26:28,600
Speaker 1: even as there's you know, I'm glad there's no actually

506
00:26:28,600 --> 00:26:31,720
Speaker 1: there's no willingness like nobody. Oh well, some people do,

507
00:26:31,880 --> 00:26:34,679
Speaker 1: but there's very little appetite among the American people to

508
00:26:34,680 --> 00:26:37,080
Speaker 1: actually have troops on the ground in Ukraine. So I

509
00:26:37,119 --> 00:26:39,840
Speaker 1: honestly think the sanctions and whatever, I think it's a

510
00:26:39,880 --> 00:26:42,720
Speaker 1: silly direction to go in, even though I understand there's

511
00:26:42,720 --> 00:26:46,240
Speaker 1: this desire like we have to do something, but the

512
00:26:46,359 --> 00:26:48,480
Speaker 1: something that we always do doesn't seem to actually work

513
00:26:48,480 --> 00:26:50,120
Speaker 1: out well. And I will say this, which is that, look,

514
00:26:50,160 --> 00:26:52,240
Speaker 1: what does Putin say that he wants? And once again, look,

515
00:26:52,240 --> 00:26:53,919
Speaker 1: he could be full of it, and in many cases

516
00:26:53,960 --> 00:26:56,400
Speaker 1: has been very much so in the past. He's like, look,

517
00:26:56,440 --> 00:26:57,920
Speaker 1: I want you to guarantee that you're not going to

518
00:26:58,000 --> 00:26:59,760
Speaker 1: let Ukraine into NATO and that you're not going to

519
00:26:59,760 --> 00:27:03,000
Speaker 1: contain you to let NATO expand East. And I'm like, well, look,

520
00:27:03,119 --> 00:27:06,880
Speaker 1: I mean we said in the nineteen nineties, you guys, democratize,

521
00:27:06,880 --> 00:27:08,720
Speaker 1: we're going to help you out all of that. The

522
00:27:08,760 --> 00:27:11,200
Speaker 1: idea that we're just going to encircle you around your

523
00:27:11,200 --> 00:27:13,720
Speaker 1: border is a complete conspiracy. Oh and then we let

524
00:27:13,800 --> 00:27:18,560
Speaker 1: Latvia and Lithuania and Estonia into NATO, and then we

525
00:27:18,640 --> 00:27:22,640
Speaker 1: bombed the Balkans and got involved again in Yugoslavia, which

526
00:27:22,680 --> 00:27:25,280
Speaker 1: is a former Soviet Union country. I mean, they felt

527
00:27:25,720 --> 00:27:28,840
Speaker 1: very emasculated, embarrassed, and I think a lot of people

528
00:27:28,880 --> 00:27:31,199
Speaker 1: in DC delude themselves because they talked to like some

529
00:27:31,760 --> 00:27:35,119
Speaker 1: democracy activists in Moscow and then like, the Russian people

530
00:27:35,240 --> 00:27:38,640
Speaker 1: really want democracy. Well, there's not a lot of evidence

531
00:27:38,640 --> 00:27:41,760
Speaker 1: for that. Actually, a lot of people in Russia really

532
00:27:41,840 --> 00:27:44,440
Speaker 1: like putin. Look, there's no way in order to actually

533
00:27:44,920 --> 00:27:47,159
Speaker 1: parse what the actual data is they actually have like

534
00:27:47,240 --> 00:27:50,560
Speaker 1: eighty five percent approval rating. Probably not, but you know,

535
00:27:50,720 --> 00:27:53,600
Speaker 1: the history of that country and more is a much

536
00:27:53,640 --> 00:27:58,480
Speaker 1: more deep comfort with authoritarian style government, especially in the

537
00:27:58,560 --> 00:28:01,800
Speaker 1: rural parts, and they do have yearning for the greatness

538
00:28:01,800 --> 00:28:04,400
Speaker 1: of what was once the Russian Empire the Soviet Union.

539
00:28:04,480 --> 00:28:07,600
Speaker 1: These types of moves are actually super popular amongst a

540
00:28:07,640 --> 00:28:10,320
Speaker 1: lot of Russians, and anybody who's honest about what the

541
00:28:10,320 --> 00:28:12,720
Speaker 1: state of the domestic politics in that country will probably

542
00:28:12,760 --> 00:28:16,480
Speaker 1: tell you that. So it's just this European Western view

543
00:28:16,520 --> 00:28:18,960
Speaker 1: of what they want Russia to be, as opposed to

544
00:28:19,000 --> 00:28:21,840
Speaker 1: dealing with what it actually is, how it drives its

545
00:28:21,880 --> 00:28:26,000
Speaker 1: internal calculus. I'm mentioning this because I just want peace

546
00:28:26,320 --> 00:28:28,840
Speaker 1: in that region, right, I want what's best for us,

547
00:28:28,960 --> 00:28:32,840
Speaker 1: the Europeans, the Ukrainians, and the Russians. And ultimately some

548
00:28:33,040 --> 00:28:36,240
Speaker 1: of that is going to lead to some discomfort on

549
00:28:36,440 --> 00:28:39,280
Speaker 1: our side to how that state is going to conduct itself,

550
00:28:39,640 --> 00:28:42,080
Speaker 1: and having clear red lines as to when we get

551
00:28:42,080 --> 00:28:45,280
Speaker 1: involved or not is equally important. Allowing a lot of

552
00:28:45,280 --> 00:28:48,720
Speaker 1: this gray zone type conflict to infect us where like, oh,

553
00:28:48,760 --> 00:28:50,560
Speaker 1: we have to get involved. It's like, well, hold on

554
00:28:50,640 --> 00:28:52,680
Speaker 1: a second, nobody actually said that you did. Look, you

555
00:28:52,680 --> 00:28:55,880
Speaker 1: invade Latvia. Okay, let's go. We have Article five that's different.

556
00:28:56,080 --> 00:28:59,200
Speaker 1: But on out Article five when it doesn't apply, then

557
00:28:59,240 --> 00:29:02,400
Speaker 1: it becomes a nebulous kind of concept of norms and

558
00:29:02,440 --> 00:29:05,440
Speaker 1: all that. That's exactly what God's bogged down in Afghanistan.

559
00:29:05,520 --> 00:29:07,920
Speaker 1: That's how you went from a counter terrorism mission. So

560
00:29:08,040 --> 00:29:11,040
Speaker 1: we can't leave until every little Afghan girl knows how

561
00:29:11,040 --> 00:29:13,680
Speaker 1: to code apparently, and I'm like, I'm sorry, that's completely

562
00:29:13,760 --> 00:29:17,520
Speaker 1: unrealistic and it has no basis in reality and semi

563
00:29:17,640 --> 00:29:21,800
Speaker 1: sound callous, but listen, this is about money and lives

564
00:29:22,000 --> 00:29:24,880
Speaker 1: more importantly, which is the lives of our soldiers. And

565
00:29:24,960 --> 00:29:27,080
Speaker 1: their own lives as well. We didn't make we didn't

566
00:29:27,080 --> 00:29:29,880
Speaker 1: make life better in Afghanistan. I mean, it's a total

567
00:29:29,920 --> 00:29:32,280
Speaker 1: catastrophe and we're lied to. I mean, the money, the

568
00:29:32,720 --> 00:29:36,400
Speaker 1: lives lost, all of that. It's a horror show. And

569
00:29:37,000 --> 00:29:39,040
Speaker 1: you know, this is the other big people didn't want

570
00:29:39,080 --> 00:29:43,000
Speaker 1: to meet in Afghanistan, that there was a genuine desire

571
00:29:43,040 --> 00:29:45,720
Speaker 1: among some to see the Taliban back in control. There

572
00:29:45,920 --> 00:29:48,360
Speaker 1: is actually yeah, because the US had, you know, back

573
00:29:48,440 --> 00:29:52,760
Speaker 1: these warlords who are horrific child sex slaves and totally

574
00:29:52,760 --> 00:29:56,560
Speaker 1: capricious and violent and uncertain and chaotic. And next thing

575
00:29:56,600 --> 00:29:59,600
Speaker 1: you know, your hospital is getting bombed by coalition forces.

576
00:29:59,600 --> 00:30:03,440
Speaker 1: I mean, isn't a good life under American occupation. And

577
00:30:03,480 --> 00:30:06,360
Speaker 1: so it's also a recognition of like what are we

578
00:30:06,480 --> 00:30:09,520
Speaker 1: actually capable of doing? And we're certainly not capable of

579
00:30:09,560 --> 00:30:14,680
Speaker 1: like nation building and spreading democracy and all of this crap.

580
00:30:14,840 --> 00:30:17,880
Speaker 1: So listen, we have bigger issues that we need to

581
00:30:17,920 --> 00:30:21,360
Speaker 1: work on with Russia, including the Iran nuclear deal and

582
00:30:21,400 --> 00:30:25,280
Speaker 1: including climate change, and this sort of tension and these

583
00:30:25,280 --> 00:30:29,000
Speaker 1: skirmishes it doesn't help anything. The other thing we wanted

584
00:30:29,040 --> 00:30:34,360
Speaker 1: to I mentioned the Saudi piece, and this is very troubling.

585
00:30:34,400 --> 00:30:37,800
Speaker 1: So Biden came into office singing a very different tune

586
00:30:37,800 --> 00:30:41,520
Speaker 1: on Saudi than either Trump or Obama had in the past,

587
00:30:41,560 --> 00:30:44,760
Speaker 1: saying it was going to be a different day, and explicitly,

588
00:30:44,880 --> 00:30:46,560
Speaker 1: you know, saying that we were no longer going to

589
00:30:46,600 --> 00:30:49,280
Speaker 1: back them in this war against Yemen, which has been

590
00:30:49,440 --> 00:30:55,120
Speaker 1: absolutely devastating. But they appear to have kind of changed

591
00:30:55,160 --> 00:30:59,000
Speaker 1: their mind on all of that now. They just backed,

592
00:31:00,560 --> 00:31:06,040
Speaker 1: they whipped against an amendment to block aid to Saudi,

593
00:31:06,600 --> 00:31:09,000
Speaker 1: and there were some interesting coalitions that were formed. Here.

594
00:31:09,080 --> 00:31:11,360
Speaker 1: Let's go ahead and throw this Ken Clippenstein tweet up

595
00:31:11,400 --> 00:31:14,320
Speaker 1: on the screen. So he says, despite Cannet Biden's vow

596
00:31:14,320 --> 00:31:18,800
Speaker 1: to make Saudi Arabia pariah following Koshogi's murder, White House

597
00:31:18,800 --> 00:31:22,960
Speaker 1: says it strongly opposes Congress's attempt to block six hundred

598
00:31:22,960 --> 00:31:26,640
Speaker 1: and fifty million dollar missile sale to Saudi in new statements.

599
00:31:26,680 --> 00:31:29,320
Speaker 1: So they didn't just take a hands off approach here

600
00:31:29,880 --> 00:31:34,440
Speaker 1: to those bipartisan actors who were trying to keep this money,

601
00:31:35,120 --> 00:31:38,320
Speaker 1: this weapon sale from ultimately going through. They actually put

602
00:31:38,360 --> 00:31:40,840
Speaker 1: out a statement saying, no, no, it's important to us,

603
00:31:40,880 --> 00:31:45,160
Speaker 1: we want this missile sale to go through. Very troubling

604
00:31:45,160 --> 00:31:48,160
Speaker 1: and again different from what Biden had said in the past.

605
00:31:48,600 --> 00:31:50,040
Speaker 1: And as I was mentioning, you know, there were some

606
00:31:50,160 --> 00:31:54,280
Speaker 1: interesting actors, some interesting bipartisan coalition going on here for

607
00:31:54,320 --> 00:31:57,680
Speaker 1: once in the correct direction, which is to try to

608
00:31:57,760 --> 00:32:02,080
Speaker 1: end our support of this devastating war. Ran Paul and

609
00:32:02,160 --> 00:32:04,840
Speaker 1: Bernie Sanders agreeing with one another on the set at floor.

610
00:32:04,920 --> 00:32:08,120
Speaker 1: Let's take a listen to that, and we are complicit.

611
00:32:08,800 --> 00:32:11,640
Speaker 1: We are arming the Saudis and allowing this to happen.

612
00:32:12,560 --> 00:32:17,000
Speaker 1: Offensive defensive. They shouldn't get any of our weapons. We

613
00:32:17,000 --> 00:32:20,840
Speaker 1: should stop selling them any weapons until they stop starving

614
00:32:20,920 --> 00:32:25,520
Speaker 1: the country of Yemen. I find myself in the somewhat

615
00:32:25,600 --> 00:32:33,280
Speaker 1: uncomfortable and unusual position of agreeing with Senator Poul. And

616
00:32:33,320 --> 00:32:35,360
Speaker 1: you know, Centaer Palm makes a good point there, which

617
00:32:35,400 --> 00:32:37,920
Speaker 1: is like people try to parse this, Oh, it's offensive

618
00:32:38,000 --> 00:32:42,040
Speaker 1: versus defensive. That's kind of nonsense, because the reality is

619
00:32:42,760 --> 00:32:46,440
Speaker 1: if Saudi wasn't bombing them, then they wouldn't need these

620
00:32:46,520 --> 00:32:49,760
Speaker 1: defensive capabilities that they're trying to get us to sell.

621
00:32:49,880 --> 00:32:53,920
Speaker 1: So ultimately, very disappointing and just a total breach of

622
00:32:53,960 --> 00:32:56,280
Speaker 1: what they had promised before from this White House with

623
00:32:56,320 --> 00:33:00,520
Speaker 1: regards to Saudi, it's a very odd amalgam, like what

624
00:33:00,720 --> 00:33:03,360
Speaker 1: is the Biden foreign policy kind of whatever the guy

625
00:33:03,560 --> 00:33:06,160
Speaker 1: feels on one thing every once in a while turns

626
00:33:06,160 --> 00:33:09,120
Speaker 1: out well, like Afghanistan. I know, it's a controversial statement.

627
00:33:09,240 --> 00:33:12,640
Speaker 1: Sometimes he's like some very you know, NATO brain of

628
00:33:12,760 --> 00:33:16,440
Speaker 1: nineteen seventy four, like we are in the Ukraine situation.

629
00:33:16,880 --> 00:33:18,920
Speaker 1: And then sometimes on the Saudi thing, it's just good

630
00:33:18,960 --> 00:33:23,440
Speaker 1: old fashioned, you know, swamp washing, business as usual as usual.

631
00:33:23,560 --> 00:33:25,640
Speaker 1: So you never know what you're gonna get with josephar

632
00:33:25,640 --> 00:33:28,719
Speaker 1: Biden whenever it comes to foreign policy, and that's always

633
00:33:28,720 --> 00:33:31,560
Speaker 1: been kind of the problem. Yeah, I mean it's kind

634
00:33:31,600 --> 00:33:34,600
Speaker 1: of I mean, the policies have been very different from Trump,

635
00:33:34,720 --> 00:33:37,280
Speaker 1: but that ad hoc, like I like this one, I'm

636
00:33:37,280 --> 00:33:40,280
Speaker 1: gonna do something here, I'm gonna not do something there,

637
00:33:40,680 --> 00:33:43,480
Speaker 1: is very it's very trumpy, you know that there's not

638
00:33:43,760 --> 00:33:47,000
Speaker 1: really an overarch geam though he talked about an overarching scheme,

639
00:33:47,040 --> 00:33:51,960
Speaker 1: but in reality it was very ad hoc what Trump did.

640
00:33:52,120 --> 00:33:54,960
Speaker 1: And this is what, you know, what we predicted based

641
00:33:55,040 --> 00:33:56,800
Speaker 1: on what we were reading about Biden as well, that

642
00:33:56,800 --> 00:33:59,360
Speaker 1: it would be very sort of like relational how he

643
00:33:59,360 --> 00:34:01,320
Speaker 1: felt about a play is how he felt about a

644
00:34:01,320 --> 00:34:05,320
Speaker 1: particular ruler, and that's ultimately what we've seen. That's right,

645
00:34:07,400 --> 00:34:10,080
Speaker 1: all right, let's move on. This is an incredibly troubling story.

646
00:34:10,440 --> 00:34:12,600
Speaker 1: I can't say didn't tell you so, because we did

647
00:34:12,760 --> 00:34:15,960
Speaker 1: durip breaking points. But the new CEO of Twitter has

648
00:34:16,040 --> 00:34:21,799
Speaker 1: a greenlit a new regime of policies, which we outlined previously,

649
00:34:21,840 --> 00:34:25,120
Speaker 1: how they're going to destroy journalism on the so called

650
00:34:25,160 --> 00:34:28,120
Speaker 1: privacy policy of not being able to post, you know,

651
00:34:28,440 --> 00:34:32,600
Speaker 1: pictures of so called private people without their consent, despite

652
00:34:32,600 --> 00:34:35,600
Speaker 1: the fact that a huge amount of Twitter activism, journalism

653
00:34:35,840 --> 00:34:39,200
Speaker 1: and past events like George Floyd, Filando Castio, Kyle Rittenhouse

654
00:34:39,239 --> 00:34:43,680
Speaker 1: and so much more we're decided based on social media posting. Well,

655
00:34:44,080 --> 00:34:48,239
Speaker 1: now has come a regime of actually blocking what they

656
00:34:48,280 --> 00:34:52,480
Speaker 1: claim are anonymous bought accounts which are causing harm, but

657
00:34:52,960 --> 00:34:57,440
Speaker 1: once again very telling about which exact ones are getting blocked,

658
00:34:57,640 --> 00:35:00,239
Speaker 1: and two of them yesterday were nuked at the very

659
00:35:00,320 --> 00:35:02,759
Speaker 1: same time, which just goes to show you that this

660
00:35:02,840 --> 00:35:06,359
Speaker 1: is a protection regime of the elites and powerful. Let's

661
00:35:06,360 --> 00:35:08,600
Speaker 1: put this first one up there on the screen, the

662
00:35:08,760 --> 00:35:13,920
Speaker 1: Nancy Pelosi portfolio tracker, after amassing more than two hundred

663
00:35:14,000 --> 00:35:18,040
Speaker 1: thousand followers on Twitter was new. Now. That's really interesting,

664
00:35:18,080 --> 00:35:20,960
Speaker 1: isn't it, Crystal, Because that portfolio tracker was just doing

665
00:35:21,000 --> 00:35:25,080
Speaker 1: one thing. They were posting trades that the Pelosi family

666
00:35:25,400 --> 00:35:29,440
Speaker 1: was publicly disclosing via the Stock Act. That's it. There

667
00:35:29,520 --> 00:35:32,120
Speaker 1: was no false information as far as I could tell

668
00:35:32,239 --> 00:35:34,840
Speaker 1: that it had been posted in the past. There hasn't

669
00:35:34,840 --> 00:35:39,160
Speaker 1: been necessarily any warnings. There hasn't been any clear iteration

670
00:35:39,280 --> 00:35:42,520
Speaker 1: of what the violation of the rules. It was simply

671
00:35:42,640 --> 00:35:46,280
Speaker 1: exposing the fact that this woman, the Speaker of the House,

672
00:35:46,320 --> 00:35:51,440
Speaker 1: and her husband and family routinely engage in extraordinarily sketchy

673
00:35:51,640 --> 00:35:55,319
Speaker 1: but yes legal stock trades, so much so that many

674
00:35:55,320 --> 00:35:58,280
Speaker 1: teenagers on Twitter had been taken or sorry on teenagers

675
00:35:58,280 --> 00:36:01,120
Speaker 1: on TikTok had taken to five following her trades and

676
00:36:01,200 --> 00:36:04,640
Speaker 1: just making those repeating them blind and actually doing quite

677
00:36:04,640 --> 00:36:08,759
Speaker 1: well in the stock market. Interesting democratization of information. That's

678
00:36:08,800 --> 00:36:11,480
Speaker 1: what the entire Internet was supposed to be about. Boom,

679
00:36:11,520 --> 00:36:14,439
Speaker 1: it was completely and totally nuked. And then the second one.

680
00:36:14,480 --> 00:36:16,320
Speaker 1: I want your reaction to this, Crystal, Yeah, this is

681
00:36:16,360 --> 00:36:19,040
Speaker 1: the best one. Okay, let's put it up there. In

682
00:36:19,080 --> 00:36:21,520
Speaker 1: the midst of one of the biggest days in the

683
00:36:21,560 --> 00:36:26,480
Speaker 1: Gallaine Maxwell trial, well, the tracker trial account was suspended

684
00:36:26,920 --> 00:36:30,320
Speaker 1: once again, amassing over half a million, five hundred and

685
00:36:30,360 --> 00:36:34,480
Speaker 1: twenty five thousand followers on Twitter. All they did was

686
00:36:34,560 --> 00:36:37,960
Speaker 1: tweet pictures and updates from the trial. And they also,

687
00:36:38,360 --> 00:36:41,600
Speaker 1: right before they got nuked, happened to tweet about how

688
00:36:41,680 --> 00:36:45,120
Speaker 1: some images and past evidence presented at the trial seemed

689
00:36:45,120 --> 00:36:48,160
Speaker 1: to indicate that the FBI was aware of mister Epstein's

690
00:36:48,200 --> 00:36:51,560
Speaker 1: problems long before they went ahead and charged him in

691
00:36:51,640 --> 00:36:56,920
Speaker 1: twenty nineteen. Miraculously account was nuked like, you know, an

692
00:36:56,960 --> 00:37:00,880
Speaker 1: hour later. Really interesting. I didn't know that came out yesterday. Wow.

693
00:37:01,320 --> 00:37:04,160
Speaker 1: I mean listen. I can't say I followed every single

694
00:37:04,200 --> 00:37:08,240
Speaker 1: tweet of the Nancy Pelosi Portfolio Tracker or the Gallainne

695
00:37:08,280 --> 00:37:13,280
Speaker 1: Maxwell Trial Tracker. But this is insane. I mean crazy,

696
00:37:13,320 --> 00:37:16,120
Speaker 1: This is totally crazy. I would love to know. I

697
00:37:16,120 --> 00:37:19,719
Speaker 1: would love to know what their pretend justification is here.

698
00:37:20,040 --> 00:37:22,719
Speaker 1: It's hard to see it outside of the context of

699
00:37:22,760 --> 00:37:25,840
Speaker 1: this new CEO who said, you know that we're not

700
00:37:25,840 --> 00:37:28,880
Speaker 1: going to be bound by the First Amendment here, it

701
00:37:29,000 --> 00:37:32,680
Speaker 1: is an action right now, and that the question was

702
00:37:32,719 --> 00:37:35,000
Speaker 1: you know that he was going to be much more

703
00:37:35,200 --> 00:37:38,439
Speaker 1: in favor of censoring and picking and choosing who got

704
00:37:38,440 --> 00:37:41,040
Speaker 1: to say what on the platform. And you know, this

705
00:37:41,120 --> 00:37:43,959
Speaker 1: seems like early evidence that hey, man, what he said.

706
00:37:45,080 --> 00:37:46,880
Speaker 1: No he not only did he mean what he said,

707
00:37:46,920 --> 00:37:49,440
Speaker 1: he greenlent this terrible policy. Let's put this up there,

708
00:37:49,560 --> 00:37:52,920
Speaker 1: their tweet, their justification. Someone has to sort out the

709
00:37:52,960 --> 00:37:54,759
Speaker 1: bots on Twitter, and we've got a team on it.

710
00:37:54,800 --> 00:37:56,839
Speaker 1: We've launched a label for the good ones. And while

711
00:37:56,840 --> 00:37:58,520
Speaker 1: the label is an endorsement, we want you to know

712
00:37:58,560 --> 00:38:01,640
Speaker 1: which bots are developers to help entertain or just harmlessly

713
00:38:01,680 --> 00:38:04,560
Speaker 1: share info, the ones that they're cleaning out what they

714
00:38:04,600 --> 00:38:07,040
Speaker 1: claim or bought activity but are certainly not, or if

715
00:38:07,040 --> 00:38:09,319
Speaker 1: they are, are just you know, I mean, these are

716
00:38:09,400 --> 00:38:11,959
Speaker 1: accounts and algorithms or whatever. They're just built in order

717
00:38:12,000 --> 00:38:15,280
Speaker 1: to aggregate information, and it just gets to the core

718
00:38:15,320 --> 00:38:19,840
Speaker 1: of the product. This was supposed to be democratization of information.

719
00:38:20,200 --> 00:38:22,759
Speaker 1: At the very beginning, the Twitter CEO called himself the

720
00:38:22,760 --> 00:38:25,600
Speaker 1: free speech wing of the Free Speech Party, and that

721
00:38:25,800 --> 00:38:29,200
Speaker 1: was great. While the revolutions were happening in other countries.

722
00:38:29,520 --> 00:38:32,560
Speaker 1: Whenever it came to challenging power here in the US,

723
00:38:32,640 --> 00:38:35,520
Speaker 1: it's just all about protecting those who are in power.

724
00:38:35,840 --> 00:38:38,319
Speaker 1: And you know, I just don't know how to get

725
00:38:38,320 --> 00:38:41,880
Speaker 1: away from the fact that it just seems like every

726
00:38:41,960 --> 00:38:45,240
Speaker 1: single time the account that gets nuked are the ones

727
00:38:45,480 --> 00:38:48,719
Speaker 1: that happen to challenge those who are at the very

728
00:38:48,800 --> 00:38:51,080
Speaker 1: highest echelons of power, and the ones that get to

729
00:38:51,120 --> 00:38:55,120
Speaker 1: stay up are like fighting misinformation or something like here's

730
00:38:55,239 --> 00:39:01,040
Speaker 1: exposing Russian bots or hive bought account if they're going

731
00:39:01,080 --> 00:39:02,719
Speaker 1: in this direction. But that's the problem is we know

732
00:39:02,760 --> 00:39:04,520
Speaker 1: they will. They will never do we know they want

733
00:39:04,560 --> 00:39:08,719
Speaker 1: And that's the language of that was actually really disturbing

734
00:39:08,760 --> 00:39:10,680
Speaker 1: to me too, Like we're going to tell you who

735
00:39:10,680 --> 00:39:12,920
Speaker 1: the good what the good ones are. It's like, oh,

736
00:39:13,120 --> 00:39:16,000
Speaker 1: wait a second, who are you to be the judge

737
00:39:16,000 --> 00:39:20,960
Speaker 1: and jury on this? Your judgment has been incredibly suspect.

738
00:39:21,040 --> 00:39:23,640
Speaker 1: And even if it hadn't been like just giving that

739
00:39:23,719 --> 00:39:27,400
Speaker 1: sort of power to one individual or a handful of individuals,

740
00:39:27,600 --> 00:39:30,759
Speaker 1: it's it's not going to go well. And since this

741
00:39:30,840 --> 00:39:33,759
Speaker 1: guy's already put us cars on the table about what

742
00:39:33,880 --> 00:39:36,279
Speaker 1: his view of all of this is and how you

743
00:39:36,280 --> 00:39:39,600
Speaker 1: know he's he's got a different ideology, doesn't subscribe to

744
00:39:39,880 --> 00:39:43,280
Speaker 1: free speech, and First Amendment. It's a very troubling direction.

745
00:39:43,440 --> 00:39:47,560
Speaker 1: And yeah, I mean any account accounts that challenge power,

746
00:39:47,600 --> 00:39:49,680
Speaker 1: whether that those accounts are on the right or the left,

747
00:39:49,760 --> 00:39:52,480
Speaker 1: those are going to be the most in jeopardy. And

748
00:39:52,520 --> 00:39:54,800
Speaker 1: the ones that sort of go along with the established

749
00:39:54,920 --> 00:39:56,799
Speaker 1: order of things and are part of the sort of

750
00:39:56,840 --> 00:39:59,520
Speaker 1: manufacturing consent lane, they're going to be just fun, kay

751
00:39:59,560 --> 00:40:01,840
Speaker 1: have bought they'll they'll be left to their own devices

752
00:40:01,880 --> 00:40:03,719
Speaker 1: to do whatever they want. And just so you guys know,

753
00:40:04,239 --> 00:40:07,480
Speaker 1: what happened to be released yesterday at the Epstein trial

754
00:40:07,760 --> 00:40:11,480
Speaker 1: was a photo of Epstein and Ghlaine Maxwell sitting at

755
00:40:11,480 --> 00:40:14,879
Speaker 1: the private Queen's log cabin in Bauermorle, Scotland. I mean,

756
00:40:15,080 --> 00:40:18,520
Speaker 1: who amongst us has not been invited to that cabin

757
00:40:18,680 --> 00:40:21,200
Speaker 1: where the queen has been pictured before and it is

758
00:40:21,320 --> 00:40:25,120
Speaker 1: one of her most prized residents. I mean, listen, like

759
00:40:25,239 --> 00:40:27,680
Speaker 1: it's just a natural place in order to end up.

760
00:40:27,760 --> 00:40:30,400
Speaker 1: And the fact that that photo was to be released,

761
00:40:30,440 --> 00:40:33,480
Speaker 1: why wouldn't you want that circulated out in public? Right?

762
00:40:33,680 --> 00:40:36,880
Speaker 1: Or the fact that you know, Epstein and Ghleane Maxwell

763
00:40:36,880 --> 00:40:40,640
Speaker 1: were pictured in some really strange poses feet stuff. You

764
00:40:40,640 --> 00:40:44,000
Speaker 1: can go and look it up for yourself on their people.

765
00:40:45,200 --> 00:40:49,000
Speaker 1: I'm declaring a fat wag against feed people. But look,

766
00:40:49,360 --> 00:40:51,560
Speaker 1: once again, it's up to you. You go up and

767
00:40:51,560 --> 00:40:55,120
Speaker 1: look at the photo people of them on the private plane.

768
00:40:55,440 --> 00:40:58,760
Speaker 1: You could see them all over the world, in Paris

769
00:40:59,080 --> 00:41:02,440
Speaker 1: and elsewhere. Like I said, some of the most important

770
00:41:02,800 --> 00:41:06,960
Speaker 1: exhibits that were released were actually evidence of the CDs

771
00:41:07,200 --> 00:41:11,719
Speaker 1: and tapes and other evidence from Epstein's actual private residents

772
00:41:11,760 --> 00:41:14,400
Speaker 1: that were taken out and appeared to have been cataloged

773
00:41:14,400 --> 00:41:17,840
Speaker 1: and seen previously by the FBI, Which is the tweet

774
00:41:17,840 --> 00:41:21,160
Speaker 1: that the trial tracker put out there. And that is

775
00:41:21,239 --> 00:41:24,080
Speaker 1: the part which nobody's paying attention to. You know, I've

776
00:41:24,080 --> 00:41:25,760
Speaker 1: seen some people be like, why aren't you guys paying

777
00:41:25,880 --> 00:41:28,400
Speaker 1: more attention to the Epstein trial? We actually are to

778
00:41:28,440 --> 00:41:30,799
Speaker 1: the Glene Maxwell trial. Part of the problem, though, as

779
00:41:30,880 --> 00:41:34,400
Speaker 1: I've said from the beginning, is that they're charging crimes

780
00:41:34,400 --> 00:41:36,319
Speaker 1: from nine to nine in two thousand and four, and

781
00:41:36,360 --> 00:41:39,319
Speaker 1: they appear to be going out of their way not

782
00:41:39,440 --> 00:41:42,759
Speaker 1: to ruffle feathers, not to expose too much about some

783
00:41:42,840 --> 00:41:45,359
Speaker 1: of the most powerful people, to the extent that Bill

784
00:41:45,440 --> 00:41:48,160
Speaker 1: Gates and you know, Clinton and all these people have

785
00:41:48,200 --> 00:41:50,640
Speaker 1: been mentioned. It's really just pilots being like, yeah, you know,

786
00:41:50,680 --> 00:41:52,160
Speaker 1: I saw him on the plane. I mean that doesn't

787
00:41:52,160 --> 00:41:55,320
Speaker 1: mean anything. They haven't gotten into the financial network Gaalaie.

788
00:41:55,400 --> 00:41:58,160
Speaker 1: Maxwell herself has not been charged or with any money

789
00:41:58,200 --> 00:42:01,160
Speaker 1: laundering or movement of funds or paying off people. It's

790
00:42:01,200 --> 00:42:03,840
Speaker 1: simply with the actual assault itself. I don't want to

791
00:42:03,840 --> 00:42:06,799
Speaker 1: minimize that, but the assault itself was covered up by

792
00:42:06,800 --> 00:42:09,479
Speaker 1: a whole lot of powerful people at the very top,

793
00:42:09,640 --> 00:42:11,719
Speaker 1: and those people are getting away scott free. Still haven't

794
00:42:11,719 --> 00:42:15,680
Speaker 1: gotten a damn thing from it. Yeah. Absolutely, we wanted

795
00:42:15,680 --> 00:42:19,040
Speaker 1: to take some time to cover a very not illustrious anniversary.

796
00:42:19,680 --> 00:42:24,719
Speaker 1: This country is anti celebrating the twenty eighth anniversary of

797
00:42:24,880 --> 00:42:28,040
Speaker 1: NAFTA this week, of course, signed into law by Bill Clinton,

798
00:42:28,239 --> 00:42:31,600
Speaker 1: it was a free trade deal that ended up devastating

799
00:42:31,920 --> 00:42:35,240
Speaker 1: a lot of American towns. Some of you will probably

800
00:42:35,280 --> 00:42:37,239
Speaker 1: live in those towns and saw what it did to

801
00:42:37,320 --> 00:42:40,919
Speaker 1: your communities, which were completely hollowed down in its wake.

802
00:42:41,160 --> 00:42:46,600
Speaker 1: Was left you know, joblessness, hopelessness, addiction, suicides, death of despair,

803
00:42:46,719 --> 00:42:50,440
Speaker 1: all of those things. And there's a new analysis about

804
00:42:50,600 --> 00:42:55,120
Speaker 1: exactly what some of the political impacts of NAFTA ultimately were.

805
00:42:55,239 --> 00:42:57,360
Speaker 1: Let's go ahead and throw this tear sheet up on

806
00:42:57,400 --> 00:43:00,000
Speaker 1: the screen. This is from the National Bureau of Economic Research,

807
00:43:00,000 --> 00:43:02,560
Speaker 1: which they looked at the local economic and political effects

808
00:43:02,560 --> 00:43:06,440
Speaker 1: of trade deals, specifically NAFTA. And I'll read you a

809
00:43:06,480 --> 00:43:08,640
Speaker 1: little bit of what they say here in sort of

810
00:43:08,640 --> 00:43:10,680
Speaker 1: technical language, but not that technical, and then we can

811
00:43:10,719 --> 00:43:13,600
Speaker 1: talk about it. So they say, Look, there's been this

812
00:43:13,719 --> 00:43:16,480
Speaker 1: question of why have less educated voters left the Democratic

813
00:43:16,520 --> 00:43:19,960
Speaker 1: Party Over the past few decades, scholars have proposed ethnocentrism,

814
00:43:20,080 --> 00:43:23,440
Speaker 1: social issues, and de industrialization as potential answers. We highlight

815
00:43:23,440 --> 00:43:26,080
Speaker 1: the role played by the nineteen ninety four North American

816
00:43:26,120 --> 00:43:30,080
Speaker 1: Free Trade Agreement in events study analysis. We demonstrate the

817
00:43:30,160 --> 00:43:33,799
Speaker 1: counties whose nineteen ninety employment depending on industries vulnerable to

818
00:43:33,880 --> 00:43:39,200
Speaker 1: NAFTA suffered large and persistent employment losses relative to other counties.

819
00:43:39,560 --> 00:43:42,040
Speaker 1: Those losses begin in the mid nineties and are only

820
00:43:42,080 --> 00:43:45,640
Speaker 1: modestly upset by the nonsense transfer programs that they try

821
00:43:45,680 --> 00:43:49,880
Speaker 1: to put in place. And furthermore, they find effectively that

822
00:43:49,880 --> 00:43:53,600
Speaker 1: that was really the start of the departure of a

823
00:43:53,640 --> 00:43:58,080
Speaker 1: lot of white working class voters from the Democratic Party. Now, look,

824
00:43:58,120 --> 00:44:00,000
Speaker 1: they say, it interplays and this is what we always

825
00:44:00,120 --> 00:44:03,719
Speaker 1: say with racial identity issues and social issue positions. These

826
00:44:03,760 --> 00:44:07,400
Speaker 1: things are all a cauldron. But to just dismiss the

827
00:44:07,560 --> 00:44:11,680
Speaker 1: impact of this policy that was absolutely devastating on you know,

828
00:44:11,880 --> 00:44:15,400
Speaker 1: entire swaps of the country has always been completely ridiculous,

829
00:44:15,440 --> 00:44:18,000
Speaker 1: and it's the sort of thing that you know, there's

830
00:44:18,000 --> 00:44:21,480
Speaker 1: all this like mocking of people for economic anxiety, et cetera.

831
00:44:21,680 --> 00:44:24,880
Speaker 1: And I certainly would never argue that economics was the

832
00:44:24,920 --> 00:44:27,560
Speaker 1: only reason that you've seen this white working class shift

833
00:44:27,600 --> 00:44:30,040
Speaker 1: to the Republican Party. But is it a part of it.

834
00:44:30,040 --> 00:44:32,680
Speaker 1: It's just absolutely undeniable when you look at the facts

835
00:44:32,680 --> 00:44:35,440
Speaker 1: and the statistics. And again, if you saw this happening

836
00:44:35,480 --> 00:44:38,319
Speaker 1: in another country and you were looking from Afar and

837
00:44:38,320 --> 00:44:41,000
Speaker 1: you say, oh, well, this party like devastated, you lost

838
00:44:41,040 --> 00:44:42,640
Speaker 1: your job because of this party, and then you went

839
00:44:42,680 --> 00:44:44,840
Speaker 1: to that party, it wouldn't be hard to put it

840
00:44:44,880 --> 00:44:48,200
Speaker 1: all together. I also think I went back and looked

841
00:44:48,200 --> 00:44:51,200
Speaker 1: at some of the estimates of how many jobs, how

842
00:44:51,280 --> 00:44:53,480
Speaker 1: much job loss and have to cause. Some of the

843
00:44:53,600 --> 00:44:56,400
Speaker 1: estimates are somewhere around eight hundred thousand and two million jobs,

844
00:44:57,120 --> 00:44:59,319
Speaker 1: and I think it's even so much more than that though,

845
00:44:59,360 --> 00:45:03,160
Speaker 1: because if you you lived in your roots and you know,

846
00:45:03,280 --> 00:45:06,319
Speaker 1: your family and your neighborhood and your community is in

847
00:45:06,360 --> 00:45:09,680
Speaker 1: a town that was centered around one of these factories

848
00:45:09,719 --> 00:45:13,160
Speaker 1: that went overseas. It's so much more than just the

849
00:45:13,239 --> 00:45:16,520
Speaker 1: loss of three thousand jobs or whatever it is to

850
00:45:16,600 --> 00:45:19,319
Speaker 1: your town. I mean, this is your whole identity. This

851
00:45:19,400 --> 00:45:22,680
Speaker 1: is maybe where your father or your grandfather worked. This

852
00:45:22,960 --> 00:45:26,640
Speaker 1: was your basis for a middle class life. This really

853
00:45:27,120 --> 00:45:32,080
Speaker 1: destroyed everything that was around you. And I've I've lived

854
00:45:32,080 --> 00:45:34,080
Speaker 1: in one of these towns in East Liverpool, Ohio, and

855
00:45:34,120 --> 00:45:36,120
Speaker 1: you drive throughout that whole region and it's just the

856
00:45:36,120 --> 00:45:39,160
Speaker 1: same story town after town after town in the Ohio

857
00:45:39,280 --> 00:45:42,600
Speaker 1: River Valley, and it weighs on you when you see

858
00:45:42,640 --> 00:45:47,920
Speaker 1: those closed, shuttered factories and steel mills, just rotting husks

859
00:45:48,360 --> 00:45:52,360
Speaker 1: in the middle of these towns, falling down, abandoned graffiti.

860
00:45:52,840 --> 00:45:56,400
Speaker 1: You know, it ends up being people who are struggling

861
00:45:56,400 --> 00:45:58,719
Speaker 1: with addiction who were there camping out. I mean, it's

862
00:45:58,760 --> 00:46:01,560
Speaker 1: just it really takes a toll on the psyche of

863
00:46:01,880 --> 00:46:04,759
Speaker 1: a person and a family and a place. So I

864
00:46:04,800 --> 00:46:07,480
Speaker 1: even think just the job loss numbers kind of understate

865
00:46:07,960 --> 00:46:11,080
Speaker 1: how completely devastating NAFTA was to so many people. It

866
00:46:11,200 --> 00:46:14,640
Speaker 1: also it's they're never able to capture this full picture.

867
00:46:14,920 --> 00:46:17,160
Speaker 1: You can lose three thousand jobs from a factory, but

868
00:46:17,280 --> 00:46:20,400
Speaker 1: that factory buy stuff from the next door town. And

869
00:46:20,440 --> 00:46:22,880
Speaker 1: also all the people there, maybe they go get all

870
00:46:22,920 --> 00:46:26,120
Speaker 1: their clothes cleaned or dry cleaned or whatever, their uniforms

871
00:46:26,320 --> 00:46:29,600
Speaker 1: at this particular store, and maybe that store buys its

872
00:46:29,640 --> 00:46:33,360
Speaker 1: chemicals from a guy two towns away. Yeah, that entire

873
00:46:33,480 --> 00:46:36,440
Speaker 1: supply chain gets wiped out. Not only that, but I

874
00:46:36,440 --> 00:46:39,280
Speaker 1: mean I saw this in East Liverpool. You know, used Liverpool,

875
00:46:39,280 --> 00:46:42,480
Speaker 1: Ohio used to be kind of a magnet around the air.

876
00:46:42,600 --> 00:46:45,520
Speaker 1: There was a downtown, there were ladies dress shops, there

877
00:46:45,560 --> 00:46:49,480
Speaker 1: were theaters, despartment stores, and that whole thing, all of

878
00:46:49,520 --> 00:46:54,319
Speaker 1: it is just completely decimated. I mean there's little left.

879
00:46:54,560 --> 00:46:58,560
Speaker 1: And again that's all because what the economic engine was

880
00:46:58,600 --> 00:47:01,320
Speaker 1: that was there. First it was making plates and dishes

881
00:47:01,320 --> 00:47:03,520
Speaker 1: that went overseas in like the fifties and sixties, and

882
00:47:03,520 --> 00:47:05,120
Speaker 1: then it was a steel mill in the town next

883
00:47:05,160 --> 00:47:10,200
Speaker 1: town over. Once that was gone, everything just crumbled and

884
00:47:10,239 --> 00:47:12,839
Speaker 1: hollowed out. And that means too, you don't have tax

885
00:47:12,880 --> 00:47:16,160
Speaker 1: revenue to pave the roads, your roads are your physical

886
00:47:16,200 --> 00:47:21,800
Speaker 1: surroundings just decay and deteriorate houses are dilapidated and abandoned

887
00:47:21,840 --> 00:47:25,760
Speaker 1: and falling down. And you know, we've had policy makers

888
00:47:25,800 --> 00:47:27,960
Speaker 1: who for decades have looked at that and not cared

889
00:47:28,320 --> 00:47:30,880
Speaker 1: and said things like, oh well, it's creative destruction, or

890
00:47:30,920 --> 00:47:32,600
Speaker 1: said things like oh well, why don't you just move,

891
00:47:32,719 --> 00:47:36,160
Speaker 1: not understanding that place in a community. In these ties,

892
00:47:37,160 --> 00:47:41,160
Speaker 1: this is incredibly human to feel rooted in a place

893
00:47:41,200 --> 00:47:45,319
Speaker 1: and like this is your spot. So anyway, just the

894
00:47:45,400 --> 00:47:49,560
Speaker 1: latest analysis that shows Democrats sowed the seeds of their

895
00:47:49,600 --> 00:47:53,040
Speaker 1: own destruction here and Clinton, I feel like I've been

896
00:47:53,040 --> 00:47:55,440
Speaker 1: tied just Democrats. You know, there were a lot of

897
00:47:55,480 --> 00:47:59,319
Speaker 1: Republicans on board with this too. Yeah, yeah, no, listen,

898
00:47:59,640 --> 00:48:02,360
Speaker 1: it's really important. I mean, Reagan was the freaking worst,

899
00:48:02,840 --> 00:48:06,120
Speaker 1: like his policies, but what the what the Democrats said?

900
00:48:06,120 --> 00:48:08,600
Speaker 1: The Republicans have long been the party of the rich

901
00:48:08,640 --> 00:48:11,439
Speaker 1: and on board with this type of crap. Clinton reoriented

902
00:48:11,480 --> 00:48:14,200
Speaker 1: the Democratic Party so that they were on board with

903
00:48:14,960 --> 00:48:17,520
Speaker 1: the same program in a lot of ways, economically, with

904
00:48:17,640 --> 00:48:20,240
Speaker 1: like let's just shave off some of the ragged edges,

905
00:48:20,680 --> 00:48:23,279
Speaker 1: let's make it within the meritocracy a little bit better

906
00:48:23,320 --> 00:48:25,600
Speaker 1: for women, a little bit better for people of color.

907
00:48:26,120 --> 00:48:28,200
Speaker 1: But you know, I feel like I have been talking

908
00:48:28,239 --> 00:48:30,160
Speaker 1: about the Clintons a lot lately, but it's because they

909
00:48:30,160 --> 00:48:34,880
Speaker 1: are really the architect of the modern Democratic Party. Obama

910
00:48:35,000 --> 00:48:37,560
Speaker 1: was just a continuation. He was effectively empty and just

911
00:48:37,600 --> 00:48:40,440
Speaker 1: sort of like got filled in with the Clinton Ara neoliberalism.

912
00:48:40,600 --> 00:48:43,800
Speaker 1: So this is what you know, David Auter. I've cided

913
00:48:43,840 --> 00:48:45,960
Speaker 1: this million times, but still one of the most important

914
00:48:45,960 --> 00:48:48,959
Speaker 1: studies in MIT study. They looked at the China trade shock,

915
00:48:49,000 --> 00:48:52,279
Speaker 1: which is of course downstream. NAFTA was like the very

916
00:48:52,280 --> 00:48:56,200
Speaker 1: first taste of sugar for the business community right ninety

917
00:48:56,239 --> 00:48:59,280
Speaker 1: two ninety four, and set the paradigm of free trade.

918
00:48:59,280 --> 00:49:02,320
Speaker 1: And of course it was an explosion in economic activity,

919
00:49:02,320 --> 00:49:04,360
Speaker 1: and it takes a while for disruption in order to

920
00:49:04,360 --> 00:49:06,839
Speaker 1: sweep its way through the US. So what they did

921
00:49:07,120 --> 00:49:09,120
Speaker 1: is they jumped on the back of that in ninety

922
00:49:09,200 --> 00:49:11,319
Speaker 1: nine and two thousand, in two thousand and one to

923
00:49:11,360 --> 00:49:14,760
Speaker 1: push the wto entrance of China. Now you put those

924
00:49:14,800 --> 00:49:17,719
Speaker 1: two things together and you supercharge it throughout the two

925
00:49:17,719 --> 00:49:21,919
Speaker 1: thousands amidst a crazy financial bubble, and you wipe out

926
00:49:22,280 --> 00:49:26,320
Speaker 1: millions of manufacturing jobs in the span of what seven years,

927
00:49:26,600 --> 00:49:29,320
Speaker 1: and then all of a sudden you see a decline

928
00:49:29,360 --> 00:49:32,960
Speaker 1: in marriage formation, decline in fertility, drop in earnings amongst

929
00:49:33,040 --> 00:49:35,359
Speaker 1: men and women who live in the communities who are

930
00:49:35,360 --> 00:49:38,600
Speaker 1: most disproportionately affected by this, which leads to more children

931
00:49:38,600 --> 00:49:41,520
Speaker 1: who are born into poverty, which leads to more reliance

932
00:49:42,080 --> 00:49:46,160
Speaker 1: both on a government program on subpar social outcome like education,

933
00:49:46,560 --> 00:49:49,920
Speaker 1: a amount of crime, drug use, And then what happens

934
00:49:49,960 --> 00:49:51,399
Speaker 1: then we have to come out and be like, Okay,

935
00:49:51,400 --> 00:49:55,360
Speaker 1: well now we have to treat this discrete, crazy problem

936
00:49:55,400 --> 00:49:59,480
Speaker 1: when it's way upstream of some major economic decisions. This

937
00:49:59,520 --> 00:50:01,200
Speaker 1: is always you know, people always like, why do you

938
00:50:01,239 --> 00:50:04,080
Speaker 1: have beef with the Libertarians. It's because they are stand

939
00:50:04,080 --> 00:50:05,840
Speaker 1: by this. I mean, they will tell you with the

940
00:50:05,880 --> 00:50:07,920
Speaker 1: straight face that it was worth it. You know, it

941
00:50:08,000 --> 00:50:10,640
Speaker 1: was totally worth it in order to have increased GDP,

942
00:50:10,760 --> 00:50:13,759
Speaker 1: which disproportionately went to the top ten percent some rich

943
00:50:13,800 --> 00:50:16,680
Speaker 1: people in New York, in Texas and you know, people

944
00:50:16,719 --> 00:50:19,160
Speaker 1: who do business with China. But I would say it's

945
00:50:19,200 --> 00:50:22,000
Speaker 1: not and that Americans have a right, and I do

946
00:50:22,040 --> 00:50:24,440
Speaker 1: believe this a right to be able to born in

947
00:50:24,440 --> 00:50:28,239
Speaker 1: this country, live in your town if you choose, if

948
00:50:28,239 --> 00:50:30,160
Speaker 1: you choose, but you should not be forced to leave

949
00:50:30,520 --> 00:50:35,000
Speaker 1: and live a relatively prosperous life relative to your parents

950
00:50:35,040 --> 00:50:37,720
Speaker 1: and the people who came before you. Yes, great riches

951
00:50:38,080 --> 00:50:40,239
Speaker 1: can always be in anybody's attainment if they want to

952
00:50:40,280 --> 00:50:42,080
Speaker 1: work hard enough in all of that. But most people

953
00:50:42,120 --> 00:50:43,960
Speaker 1: don't want that and they don't need to, which is

954
00:50:44,000 --> 00:50:46,080
Speaker 1: that they should be able to be born, have kids

955
00:50:46,120 --> 00:50:48,400
Speaker 1: if they want, have a family, if they want, and

956
00:50:48,440 --> 00:50:50,960
Speaker 1: stay exactly where they are around their parents. A lot

957
00:50:50,960 --> 00:50:52,919
Speaker 1: of people would choose that life, but they're not able

958
00:50:52,960 --> 00:50:56,720
Speaker 1: to have that. And that's that's what trade really took away.

959
00:50:56,840 --> 00:50:59,880
Speaker 1: That's millions of people. That's it. It forced people to

960
00:51:00,120 --> 00:51:02,399
Speaker 1: have to flee if they were going to be able

961
00:51:02,400 --> 00:51:06,080
Speaker 1: to drive a stable income. Yeah, I mean that's it,

962
00:51:06,360 --> 00:51:09,239
Speaker 1: that's it exactly. And so and then when you have

963
00:51:09,480 --> 00:51:15,040
Speaker 1: those that community institution decline, I mean it's it truly

964
00:51:15,120 --> 00:51:17,520
Speaker 1: is devastating, and it comes from an ethos that just

965
00:51:17,600 --> 00:51:22,359
Speaker 1: puts money, profit and profits of capital above everything else.

966
00:51:22,440 --> 00:51:25,680
Speaker 1: So I thought the study was important, especially as we

967
00:51:25,719 --> 00:51:29,400
Speaker 1: look at some of the Biden numbers about continued fallout

968
00:51:29,600 --> 00:51:32,000
Speaker 1: with the working class, not just the white working class,

969
00:51:32,040 --> 00:51:34,680
Speaker 1: by the way, but this is this is kind of

970
00:51:34,680 --> 00:51:37,640
Speaker 1: where if the problems start for the Democratic Party. It

971
00:51:37,680 --> 00:51:40,000
Speaker 1: wasn't inevitable, and it doesn't have to be inevitable in

972
00:51:40,040 --> 00:51:43,799
Speaker 1: the future. Absolutely. Okay, let's move on to one of

973
00:51:43,880 --> 00:51:46,799
Speaker 1: the fun favorite segments, hard pivot. But look, this is

974
00:51:46,880 --> 00:51:50,279
Speaker 1: good stuff. Tick get over it. I've been obsessed with

975
00:51:50,400 --> 00:51:54,880
Speaker 1: the Justice Smollette trial about what's happening. I remember watching

976
00:51:54,880 --> 00:51:57,120
Speaker 1: it at the time. Were you were we hosting together

977
00:51:57,160 --> 00:51:59,040
Speaker 1: that I can't remember you you were still on with

978
00:51:59,080 --> 00:52:02,000
Speaker 1: Buck at the Daily Caller. I'll never forget it. And

979
00:52:02,040 --> 00:52:04,319
Speaker 1: I remember the first time I saw I was like,

980
00:52:04,360 --> 00:52:06,640
Speaker 1: this is total bs. I was like, this is a

981
00:52:06,680 --> 00:52:10,040
Speaker 1: complete lie. And it was at the time when the

982
00:52:10,480 --> 00:52:13,920
Speaker 1: Kamala Harris and the whole country was reckoning in all

983
00:52:13,960 --> 00:52:16,000
Speaker 1: this and I was like, none of this it makes

984
00:52:16,239 --> 00:52:19,400
Speaker 1: any sense whatsoever. I felt like I was completely crazy.

985
00:52:19,440 --> 00:52:22,879
Speaker 1: And then all of it just completely began unraveling. Fuck

986
00:52:22,880 --> 00:52:27,560
Speaker 1: and I both were like, we're gonna wait. You have

987
00:52:27,640 --> 00:52:29,520
Speaker 1: a brain, you know, You're like then a couple of

988
00:52:29,560 --> 00:52:32,600
Speaker 1: times we've taken this approach. A couple of times we're like,

989
00:52:32,880 --> 00:52:36,000
Speaker 1: we're can I see how this story plays up before

990
00:52:36,040 --> 00:52:38,839
Speaker 1: we jump on covering this one. It's like anytime, oh,

991
00:52:38,880 --> 00:52:41,080
Speaker 1: we swastika showed up at a dorm. I'm like, yeah,

992
00:52:41,400 --> 00:52:44,879
Speaker 1: let's hold on a second, all right, let's play out

993
00:52:45,040 --> 00:52:47,359
Speaker 1: and see right, yeah, and nine times out of ten

994
00:52:47,400 --> 00:52:50,560
Speaker 1: and some psycho who's doing it to themselves in order

995
00:52:50,640 --> 00:52:53,360
Speaker 1: to get attention. Well, let's go ahead and put this

996
00:52:53,440 --> 00:52:55,520
Speaker 1: up there on the screen, because this isn't just about

997
00:52:55,719 --> 00:52:58,320
Speaker 1: Jesse Smollett, whos by the way, clearly a deranged, crazy

998
00:52:58,400 --> 00:53:00,480
Speaker 1: individual in a way I almost feel bad for in

999
00:53:00,520 --> 00:53:03,560
Speaker 1: how desperate he needs the attention. But what he reveals

1000
00:53:04,000 --> 00:53:07,280
Speaker 1: is that at the trial is that CNN's Don Lemon

1001
00:53:07,840 --> 00:53:11,600
Speaker 1: warned him via text in twenty nineteen that the cops

1002
00:53:11,719 --> 00:53:15,400
Speaker 1: did not believe his account of the attack. Now this

1003
00:53:15,560 --> 00:53:18,920
Speaker 1: is very important because what Don Lemon was doing, he

1004
00:53:19,080 --> 00:53:22,440
Speaker 1: was personal friends there with you, Jesse Smollett. That's fine,

1005
00:53:22,480 --> 00:53:25,800
Speaker 1: you know whatever. But he did exactly what Chris Cuomo

1006
00:53:25,880 --> 00:53:29,320
Speaker 1: did in that he was using his sources and CNN's

1007
00:53:29,400 --> 00:53:34,680
Speaker 1: reporting information, who had sources within Chicago PD claiming and

1008
00:53:34,760 --> 00:53:38,720
Speaker 1: feeding it back to Jesse saying, hey, what you're saying,

1009
00:53:38,920 --> 00:53:42,400
Speaker 1: the cops are not buying it. So he's essentially backdooring

1010
00:53:42,440 --> 00:53:45,480
Speaker 1: and using that non public information that he was able

1011
00:53:45,520 --> 00:53:48,360
Speaker 1: to get through his work at the CNN network and

1012
00:53:48,400 --> 00:53:51,799
Speaker 1: their sources within Chicago PD and feed it back to

1013
00:53:51,880 --> 00:53:55,000
Speaker 1: the assailant himself. Why because he felt bad for him,

1014
00:53:55,080 --> 00:53:57,200
Speaker 1: because there are personal friends, and because he wanted to

1015
00:53:57,200 --> 00:54:00,400
Speaker 1: make it into some sort of racial reckoning at the time.

1016
00:54:00,719 --> 00:54:02,959
Speaker 1: And that is what a whole lot of people did

1017
00:54:03,320 --> 00:54:05,719
Speaker 1: in these interviews and the way that they treated him,

1018
00:54:05,960 --> 00:54:08,640
Speaker 1: you know, as you know Dave Chappelle in his famous

1019
00:54:08,680 --> 00:54:11,439
Speaker 1: skit Justice for Jucy, all this stuff that was real.

1020
00:54:11,520 --> 00:54:14,720
Speaker 1: That was a real phenomenon. And yet whenever it comes

1021
00:54:14,760 --> 00:54:19,319
Speaker 1: time to discuss the fallout of that, mister Lemon has

1022
00:54:19,640 --> 00:54:21,840
Speaker 1: nothing to say on the very same day that it

1023
00:54:21,880 --> 00:54:24,759
Speaker 1: has testified about his role on that trial. This is

1024
00:54:24,760 --> 00:54:26,960
Speaker 1: how he covered it on his show Let's take a listen.

1025
00:54:27,880 --> 00:54:30,480
Speaker 1: Jesse Smallett, the actor who is accused of lying to

1026
00:54:30,520 --> 00:54:32,920
Speaker 1: police about an a Less hate crime in twenty nineteen,

1027
00:54:33,480 --> 00:54:36,840
Speaker 1: testifying in his own defense today. At the time, Smaller

1028
00:54:36,880 --> 00:54:39,160
Speaker 1: told police that two men had attacked him in the street,

1029
00:54:39,280 --> 00:54:43,040
Speaker 1: yelling racist, anti gay remarks, put a noose around his neck,

1030
00:54:43,080 --> 00:54:46,240
Speaker 1: and poured bleach on him. Small As has repeatedly denied

1031
00:54:46,280 --> 00:54:49,920
Speaker 1: staging the racist and homophobic attack against himself. He is

1032
00:54:50,000 --> 00:54:52,880
Speaker 1: charged with six counts of disorderly conduct on suspicion of

1033
00:54:52,920 --> 00:54:56,239
Speaker 1: making false reports to police. So joining me now with

1034
00:54:56,320 --> 00:55:00,640
Speaker 1: the very latest from the trial is Se didn't mention

1035
00:55:00,680 --> 00:55:03,160
Speaker 1: this little story. Yeah, then he just brought in a

1036
00:55:03,200 --> 00:55:06,120
Speaker 1: reporter who also studiously avoided I mean, this reporter was

1037
00:55:06,160 --> 00:55:07,959
Speaker 1: meant to like lay out here's what happened on the trial,

1038
00:55:08,000 --> 00:55:09,760
Speaker 1: and he said this, and they said that and whatever,

1039
00:55:10,320 --> 00:55:14,919
Speaker 1: somehow left out that little piece of information that Don

1040
00:55:15,000 --> 00:55:19,320
Speaker 1: Lemon was mentioned on the stand by Jesse Smollett as

1041
00:55:19,360 --> 00:55:22,200
Speaker 1: having tipped him off. And that was why he basically,

1042
00:55:22,239 --> 00:55:24,600
Speaker 1: you know, stopped cooperating with the police, was because he'd

1043
00:55:24,600 --> 00:55:27,279
Speaker 1: been tipped off by Don Lemon that they were buying it.

1044
00:55:27,480 --> 00:55:30,000
Speaker 1: I mean, look, that's actually I mean, you know, in

1045
00:55:30,080 --> 00:55:34,840
Speaker 1: terms of not legally, but he helped Jesse basically try

1046
00:55:34,920 --> 00:55:38,600
Speaker 1: and set himself up for knowing that the fall was coming,

1047
00:55:38,800 --> 00:55:40,920
Speaker 1: which eventually was let off by the City of Chicago

1048
00:55:40,960 --> 00:55:43,000
Speaker 1: and eventually took years in order to even put him

1049
00:55:43,000 --> 00:55:45,719
Speaker 1: on trial in the first place. But him stopping and

1050
00:55:45,760 --> 00:55:50,799
Speaker 1: making obviously false statements to Chicago PD ultimately did you know,

1051
00:55:50,920 --> 00:55:53,240
Speaker 1: lead him down the road where he didn't put himself

1052
00:55:53,280 --> 00:55:55,759
Speaker 1: on the record multiple times in a legal sense. So

1053
00:55:56,040 --> 00:55:58,759
Speaker 1: from that position, Don Lemon helped him out actually quite

1054
00:55:58,760 --> 00:56:01,640
Speaker 1: a bit. I just don't know, so unethical. I mean,

1055
00:56:01,680 --> 00:56:03,560
Speaker 1: I don't even know what to say. It's crazy, It

1056
00:56:03,640 --> 00:56:05,640
Speaker 1: really is crazy. And then for him to make the

1057
00:56:05,680 --> 00:56:10,120
Speaker 1: brazen choice to cover the trial and just not say

1058
00:56:10,120 --> 00:56:13,239
Speaker 1: anything is also really head scratching. I mean, if you

1059
00:56:13,320 --> 00:56:16,239
Speaker 1: want to be an unethical coward, you would just not

1060
00:56:16,320 --> 00:56:18,960
Speaker 1: cover it because then you just felt like, you know

1061
00:56:18,960 --> 00:56:22,080
Speaker 1: what I mean, yeah, pull of cohon, just let me

1062
00:56:22,120 --> 00:56:23,759
Speaker 1: just there's a lot of other stories in the world.

1063
00:56:23,840 --> 00:56:27,359
Speaker 1: Let me just leave that one alone. But no, no disclosure,

1064
00:56:28,160 --> 00:56:33,520
Speaker 1: no anything. And I don't know, I mean, CNN, it's

1065
00:56:33,560 --> 00:56:36,319
Speaker 1: been quite a week for that, a week for them

1066
00:56:36,719 --> 00:56:39,120
Speaker 1: and they haven't and they haven't said a word about it.

1067
00:56:39,160 --> 00:56:41,680
Speaker 1: I'm just totally silent about it. And this is again

1068
00:56:41,840 --> 00:56:45,920
Speaker 1: very Cuomo was more egregious because it was more sustained

1069
00:56:46,320 --> 00:56:49,839
Speaker 1: and there was a pattern of lying to higher ups.

1070
00:56:49,840 --> 00:56:51,799
Speaker 1: It looks he says he told them everything. I don't

1071
00:56:51,840 --> 00:56:54,960
Speaker 1: really believe that, but you know, it was sustained. It

1072
00:56:55,000 --> 00:56:57,200
Speaker 1: was over a long period of time. There were multiple instances,

1073
00:56:57,200 --> 00:57:00,120
Speaker 1: there were like tons of text threads and whatever are

1074
00:57:00,120 --> 00:57:02,840
Speaker 1: you saying? Delete this thread? And I got some dirt

1075
00:57:02,880 --> 00:57:05,520
Speaker 1: on this one over here, and here's what Ronan Farah

1076
00:57:05,600 --> 00:57:08,520
Speaker 1: is coming out with based on my sources. But this

1077
00:57:08,600 --> 00:57:12,080
Speaker 1: is a microcosm of the exact same behavior. And so

1078
00:57:12,160 --> 00:57:15,600
Speaker 1: how do you punish this one and fire him? And

1079
00:57:15,719 --> 00:57:17,400
Speaker 1: you know now they're all going to court. It looks

1080
00:57:17,440 --> 00:57:20,320
Speaker 1: like and have not a word to say about this one.

1081
00:57:20,400 --> 00:57:23,479
Speaker 1: The real question is how much more of theirs is there?

1082
00:57:23,600 --> 00:57:26,640
Speaker 1: I mean, this is only because of investigators and people

1083
00:57:26,680 --> 00:57:28,480
Speaker 1: being forced to the strand. I mean this is tip

1084
00:57:28,480 --> 00:57:31,240
Speaker 1: of the Iceberg point oh one percent stuff Like I

1085
00:57:31,360 --> 00:57:33,200
Speaker 1: just think about the George Carlin line. You know it's

1086
00:57:33,240 --> 00:57:35,200
Speaker 1: a big club and you're not in it. That's what

1087
00:57:35,360 --> 00:57:38,200
Speaker 1: this seems to be to me. Well, and CNN, CNN's

1088
00:57:38,200 --> 00:57:40,720
Speaker 1: in the hot seat this week. But remember also with

1089
00:57:40,840 --> 00:57:44,360
Speaker 1: the Cuomo stuff, it came out that Katie Turr Oh,

1090
00:57:44,360 --> 00:57:49,400
Speaker 1: while she's live reporting on allegations against Andrew Cuomo, she's

1091
00:57:49,480 --> 00:57:53,960
Speaker 1: reading texts from Cuomo advisor Liz Smith of Pete Budajet fame,

1092
00:57:54,400 --> 00:57:58,800
Speaker 1: and Liz is bragging to the other Cuomo aids like, oh,

1093
00:57:58,840 --> 00:58:01,479
Speaker 1: she's just reading my spin and straight on air. She's

1094
00:58:01,480 --> 00:58:03,360
Speaker 1: just reading a verbatim, and if you go back and

1095
00:58:03,360 --> 00:58:05,800
Speaker 1: look at the tape, you can literally see her doing

1096
00:58:05,880 --> 00:58:09,120
Speaker 1: it live. I mean, that's that's really the problem, even

1097
00:58:09,120 --> 00:58:12,480
Speaker 1: bigger than Quelma or Katie Urr don Lemon. If this

1098
00:58:12,640 --> 00:58:14,880
Speaker 1: is how they behaven over at Fox News. I mean,

1099
00:58:14,880 --> 00:58:16,560
Speaker 1: we know how tired and they were with the Trump

1100
00:58:16,600 --> 00:58:18,640
Speaker 1: people in the Trump White House. It's the same deal

1101
00:58:18,960 --> 00:58:20,920
Speaker 1: over there, just on a different political team. I think

1102
00:58:20,920 --> 00:58:23,480
Speaker 1: it's just not I can't imagine doing that. Anytime somebody

1103
00:58:23,520 --> 00:58:25,720
Speaker 1: texts me their spin what I try to do. You've

1104
00:58:25,720 --> 00:58:27,840
Speaker 1: seen me. I'll be like, listen, a person I spoke

1105
00:58:27,920 --> 00:58:30,840
Speaker 1: to who was in whatever, this is what they told me.

1106
00:58:30,920 --> 00:58:33,360
Speaker 1: I don't know if it's true. Yeah, curious to tell people.

1107
00:58:34,480 --> 00:58:36,840
Speaker 1: Here's what they tell me if you ask so and so.

1108
00:58:36,920 --> 00:58:38,240
Speaker 1: And I do this all the time because, trust me,

1109
00:58:38,240 --> 00:58:40,160
Speaker 1: people always trying to spin us here on breaking points,

1110
00:58:40,320 --> 00:58:42,640
Speaker 1: like oh, you don't understand this, you don't understand that.

1111
00:58:42,680 --> 00:58:44,840
Speaker 1: I'm like, yeah, maybe we do. But look, I'll hear

1112
00:58:44,880 --> 00:58:47,080
Speaker 1: anybody out and that's usually what we try to do,

1113
00:58:47,120 --> 00:58:49,000
Speaker 1: and then I'll try and represent, especially if it's a

1114
00:58:49,080 --> 00:58:51,160
Speaker 1: view that I don't hold. I try to say, these

1115
00:58:51,160 --> 00:58:53,640
Speaker 1: are what the people that I talk to tell me

1116
00:58:54,160 --> 00:58:57,080
Speaker 1: about how they view this particular thing. Here's why I

1117
00:58:57,120 --> 00:58:59,960
Speaker 1: don't really agree with that. But to just read somebody

1118
00:59:00,160 --> 00:59:04,520
Speaker 1: spin like that straight out is just unbelievable. And same

1119
00:59:04,760 --> 00:59:08,760
Speaker 1: with the I just can't get over like using your

1120
00:59:09,000 --> 00:59:14,240
Speaker 1: job and personal network to help out a criminal somebody

1121
00:59:14,280 --> 00:59:17,880
Speaker 1: who obviously lied, I mean, it was so obvious, and

1122
00:59:17,920 --> 00:59:20,200
Speaker 1: then covering it up. I think the only thing I

1123
00:59:20,200 --> 00:59:23,400
Speaker 1: can conclusion I can come to is that Lemon and

1124
00:59:23,440 --> 00:59:26,640
Speaker 1: the rest of the media at the time had they

1125
00:59:26,760 --> 00:59:28,920
Speaker 1: needed this thing to be true, because at that point

1126
00:59:29,040 --> 00:59:32,200
Speaker 1: they had hyped it up, right, I mean that not.

1127
00:59:32,360 --> 00:59:34,120
Speaker 1: I mean I remember the day after it was like,

1128
00:59:34,160 --> 00:59:37,560
Speaker 1: oh my god, you know, justice for Juicy, all this stuff.

1129
00:59:37,600 --> 00:59:40,080
Speaker 1: It was the reckoning, it was what we needed, and

1130
00:59:40,120 --> 00:59:42,840
Speaker 1: the rest of us were like, two, am, maga hats

1131
00:59:43,160 --> 00:59:47,560
Speaker 1: downtown Chicago subway. I don't know about that. And to

1132
00:59:47,600 --> 00:59:50,080
Speaker 1: be honest, I feel almost like a coward for not

1133
00:59:50,160 --> 00:59:53,800
Speaker 1: saying it more publicly at the time. But look, we've stayed,

1134
00:59:53,800 --> 00:59:58,160
Speaker 1: we waited around the neck. Obviously. I couldn't believe it that,

1135
00:59:59,080 --> 01:00:02,760
Speaker 1: you know, beating the bleach. The thing is that like

1136
01:00:02,960 --> 01:00:05,840
Speaker 1: hate and racism is extraordinarily real, and so when you're

1137
01:00:05,840 --> 01:00:08,040
Speaker 1: going to fake something like this, I mean this, that's

1138
01:00:08,200 --> 01:00:11,800
Speaker 1: that's the problem too, is that then next time something

1139
01:00:11,880 --> 01:00:15,720
Speaker 1: real does happen, people will be much more skeptical, you know,

1140
01:00:15,800 --> 01:00:18,560
Speaker 1: I mean they'll look at they won't believe it because

1141
01:00:19,040 --> 01:00:21,600
Speaker 1: because you went out and faked this whole elaborate thing

1142
01:00:21,720 --> 01:00:25,360
Speaker 1: allegedly for the lawyers. But you know, I mean that's

1143
01:00:25,440 --> 01:00:28,440
Speaker 1: that's what really is disgusting about it to me as well,

1144
01:00:28,480 --> 01:00:34,040
Speaker 1: like using race and hate and homophobia as your plaything

1145
01:00:34,480 --> 01:00:37,880
Speaker 1: to try to get yourself tell out Telp this contract. Well,

1146
01:00:38,120 --> 01:00:41,160
Speaker 1: fame and attention is just discussed. I mean, it's just

1147
01:00:41,280 --> 01:00:44,160
Speaker 1: it's grotesque behavior. And then for dun Lemon to be

1148
01:00:44,360 --> 01:00:47,680
Speaker 1: you know, an accessory to that is also grotesque. Absolutely right,

1149
01:00:49,400 --> 01:00:51,440
Speaker 1: all right, Sager, what are you looking at? Well, if

1150
01:00:51,440 --> 01:00:53,760
Speaker 1: you really want to know why America is a clown country,

1151
01:00:53,880 --> 01:00:55,960
Speaker 1: COVID that showed us for pretty much what we are.

1152
01:00:56,040 --> 01:00:58,320
Speaker 1: We are the most polarized country on planet Earth over

1153
01:00:58,360 --> 01:01:01,120
Speaker 1: COVID restrictions. We have a high death rate because seventy

1154
01:01:01,160 --> 01:01:03,560
Speaker 1: four percent of this country is overweight, with a large

1155
01:01:03,600 --> 01:01:07,080
Speaker 1: number who are morbidly obese. Our government had a haphazard

1156
01:01:07,160 --> 01:01:11,320
Speaker 1: anti science way of handling restrictions, and pretty much everything

1157
01:01:11,400 --> 01:01:14,120
Speaker 1: has fallen victim to the culture war. The best thing

1158
01:01:14,160 --> 01:01:16,920
Speaker 1: we did was produce an effective vaccine, and a pretty

1159
01:01:16,960 --> 01:01:20,320
Speaker 1: record amount of time on pretty much everything else, we

1160
01:01:20,440 --> 01:01:23,120
Speaker 1: just completely failed. Here's the thing. Didn't have to be

1161
01:01:23,160 --> 01:01:25,880
Speaker 1: this way. I remember thinking in March twenty twenty World

1162
01:01:25,920 --> 01:01:28,760
Speaker 1: War two, we have a foreign virus invading us. We

1163
01:01:28,800 --> 01:01:31,760
Speaker 1: need to mobilize our population beat this thing. We can

1164
01:01:31,880 --> 01:01:34,840
Speaker 1: change the relationship between government and citizen. We can have

1165
01:01:34,920 --> 01:01:37,520
Speaker 1: everybody bought in in a time of crisis. Spin up

1166
01:01:37,520 --> 01:01:40,880
Speaker 1: American manufacturing. Let's get to work, right. Yeah, I was

1167
01:01:40,920 --> 01:01:43,600
Speaker 1: pretty much wrong within like two weeks of that whole situation.

1168
01:01:43,960 --> 01:01:46,400
Speaker 1: Now our politicians argue and fight for scraps at the

1169
01:01:46,440 --> 01:01:48,720
Speaker 1: table of whatever's left, and the rest of us are

1170
01:01:48,800 --> 01:01:51,520
Speaker 1: left with a sclerotic and useless government which doesn't really

1171
01:01:51,560 --> 01:01:54,240
Speaker 1: give a damn about us. And this really hit home

1172
01:01:54,280 --> 01:01:57,160
Speaker 1: to me this week when White House Press Secretary Jensaki

1173
01:01:57,520 --> 01:02:00,960
Speaker 1: was asked about the President Biden's scheme to allow Americans

1174
01:02:00,960 --> 01:02:04,360
Speaker 1: to expense at home COVID tests to their insurance companies.

1175
01:02:04,480 --> 01:02:07,240
Speaker 1: Why don't they just give one to every American? Watch

1176
01:02:07,240 --> 01:02:10,240
Speaker 1: her reaction to that crazy idea. Look at what we've

1177
01:02:10,280 --> 01:02:13,160
Speaker 1: done over the course of time. We've quadrupled the size

1178
01:02:13,160 --> 01:02:16,760
Speaker 1: of our testing plan. We've cut the cost significantly over

1179
01:02:16,760 --> 01:02:20,800
Speaker 1: the past few months. And this effort to push to

1180
01:02:20,920 --> 01:02:24,880
Speaker 1: ensure insurers or you're able to get your tests refunded,

1181
01:02:24,920 --> 01:02:27,000
Speaker 1: means one hundred and fifty million Americans will be able

1182
01:02:27,000 --> 01:02:29,240
Speaker 1: to get free tests. Okay, to though, why not just

1183
01:02:29,320 --> 01:02:31,720
Speaker 1: make them free and give them out and have them

1184
01:02:31,720 --> 01:02:35,520
Speaker 1: available everywhere? Should we just send one to every American? Maybe?

1185
01:02:35,600 --> 01:02:39,280
Speaker 1: Then what happens if every American has one test? How

1186
01:02:39,320 --> 01:02:41,480
Speaker 1: much does that cost? And then what happens after that?

1187
01:02:41,640 --> 01:02:43,320
Speaker 1: All I know is that other countries seem to be

1188
01:02:43,360 --> 01:02:47,480
Speaker 1: making them available for in greater quantities for less money. Well,

1189
01:02:47,520 --> 01:02:49,800
Speaker 1: I think we share the same objective, which is to

1190
01:02:49,800 --> 01:02:53,560
Speaker 1: make them less expensive and more accessible. Right, every country's

1191
01:02:53,560 --> 01:02:56,320
Speaker 1: going to do that differently, and I just noting that again,

1192
01:02:56,440 --> 01:02:59,080
Speaker 1: our tests go through the FDA approval process. That's not

1193
01:02:59,160 --> 01:03:02,440
Speaker 1: the same. Look at how she mocks that idea. What

1194
01:03:02,440 --> 01:03:04,560
Speaker 1: are we supposed to do? Take every single American do

1195
01:03:04,640 --> 01:03:07,560
Speaker 1: and give them a test? Yeah? Actually, as the reporter

1196
01:03:07,640 --> 01:03:10,560
Speaker 1: points out right across the pond in the UK, in

1197
01:03:10,600 --> 01:03:13,480
Speaker 1: a country at sixty seven million people, you can walk

1198
01:03:13,480 --> 01:03:16,080
Speaker 1: into any pharmacy in the country, you ask for an

1199
01:03:16,080 --> 01:03:18,120
Speaker 1: at home test and they'll just give it to you.

1200
01:03:18,120 --> 01:03:20,400
Speaker 1: You don't even have to pay. Here in the US

1201
01:03:20,480 --> 01:03:23,000
Speaker 1: you have to pay a minimum of twelve dollars per

1202
01:03:23,040 --> 01:03:26,200
Speaker 1: actual test. That adds up real quick, and as they

1203
01:03:26,240 --> 01:03:29,640
Speaker 1: point out, expensing something to your insurance company is a

1204
01:03:29,760 --> 01:03:33,880
Speaker 1: pain in the ass. Also, what about the uninsured. The

1205
01:03:33,920 --> 01:03:37,400
Speaker 1: mockery of Jensaki tells you everything that they did not

1206
01:03:37,560 --> 01:03:40,960
Speaker 1: even think about it. Why because under this current administration

1207
01:03:41,040 --> 01:03:44,640
Speaker 1: and state infrastructure, maybe it's just not possible. The reality

1208
01:03:44,760 --> 01:03:48,040
Speaker 1: is they are so incompetent and decrepit that they probably

1209
01:03:48,120 --> 01:03:50,840
Speaker 1: can't send every American a test, or make them free

1210
01:03:51,080 --> 01:03:54,040
Speaker 1: and widely available. As Natalie Shirer points out at the

1211
01:03:54,080 --> 01:03:57,080
Speaker 1: New Republic, what's particularly idiotic is that the at home

1212
01:03:57,120 --> 01:04:00,120
Speaker 1: tests apply to private insurers, meaning they don't work work

1213
01:04:00,200 --> 01:04:03,240
Speaker 1: for many seniors who are on Medicaid and Medicare, also

1214
01:04:03,280 --> 01:04:06,320
Speaker 1: for the poor the elderly. The Biden administration is currently

1215
01:04:06,320 --> 01:04:09,800
Speaker 1: only allocated fifty million free tests to those community health

1216
01:04:09,800 --> 01:04:12,960
Speaker 1: centers for them. That sounds great until you realize there's

1217
01:04:13,040 --> 01:04:16,680
Speaker 1: eighty million people on Medicaid, so fifty million is barely

1218
01:04:16,720 --> 01:04:19,360
Speaker 1: more than half of that what they need for each

1219
01:04:19,440 --> 01:04:22,880
Speaker 1: person to only get one test at one time. Why

1220
01:04:22,880 --> 01:04:25,600
Speaker 1: do we have such a test shortage? Well, Biden admin

1221
01:04:25,640 --> 01:04:27,760
Speaker 1: has basically been sitting on his hands for the last

1222
01:04:27,840 --> 01:04:29,880
Speaker 1: year and is only in the last two months or

1223
01:04:29,920 --> 01:04:32,680
Speaker 1: so approved more than one at home test maker. Well,

1224
01:04:32,880 --> 01:04:35,600
Speaker 1: no wonder we have a shortage. Only one company up

1225
01:04:35,680 --> 01:04:38,720
Speaker 1: until recently was allowed to make them. In fact, there

1226
01:04:38,800 --> 01:04:43,520
Speaker 1: is a California based rapid test manufacturer currently not allowed

1227
01:04:43,560 --> 01:04:47,000
Speaker 1: to make tests for the United States because the FDA

1228
01:04:47,160 --> 01:04:49,280
Speaker 1: is sitting on his hands for approval, but they are

1229
01:04:49,280 --> 01:04:52,320
Speaker 1: selling them by the millions in Europe. You can't even

1230
01:04:52,360 --> 01:04:55,280
Speaker 1: make this stuff up. Slow FD approval of tests within

1231
01:04:55,440 --> 01:04:58,520
Speaker 1: zero pressure from the Biden administration has meant we only

1232
01:04:58,560 --> 01:05:01,280
Speaker 1: have one test maker, which results in a shortage, and

1233
01:05:01,320 --> 01:05:03,280
Speaker 1: it makes us so they scoff at the idea of

1234
01:05:03,320 --> 01:05:08,280
Speaker 1: giving us everybody one. It's pathetic again, par for the

1235
01:05:08,320 --> 01:05:10,480
Speaker 1: course when it comes to this pandemic. Leave it to

1236
01:05:10,520 --> 01:05:12,840
Speaker 1: America to create the vaccine in the first place and

1237
01:05:12,920 --> 01:05:17,000
Speaker 1: screw up every single other element of the pandemic response.

1238
01:05:17,360 --> 01:05:21,240
Speaker 1: This mindset infects everything in our economy, in our society.

1239
01:05:21,280 --> 01:05:24,440
Speaker 1: Right now, Joe Biden has record high levels of disapproval,

1240
01:05:24,640 --> 01:05:28,160
Speaker 1: especially on the economy. Really why it's worth asking. People

1241
01:05:28,160 --> 01:05:31,160
Speaker 1: are concerned about prices going up, and gas prices and COVID.

1242
01:05:31,400 --> 01:05:34,000
Speaker 1: On all three, the Biden admin is basically telling us

1243
01:05:34,000 --> 01:05:36,840
Speaker 1: they can't really do much. I mean, look at the president.

1244
01:05:36,960 --> 01:05:39,640
Speaker 1: The guy is nowhere to be found. He can't pretend

1245
01:05:39,680 --> 01:05:41,600
Speaker 1: that he cares that much about how people are suffering

1246
01:05:41,760 --> 01:05:43,840
Speaker 1: and how much people are desperate to go back to normal.

1247
01:05:44,080 --> 01:05:46,880
Speaker 1: They try half baked scheme after half baked scheme. Yeah,

1248
01:05:46,880 --> 01:05:48,840
Speaker 1: that was great, Like we just showed you. Biden tapped

1249
01:05:48,840 --> 01:05:51,040
Speaker 1: the strategic Petroleum Reserve. I called for him to do it.

1250
01:05:51,200 --> 01:05:54,080
Speaker 1: That was awesome, but he didn't go far enough. He's

1251
01:05:54,080 --> 01:05:57,480
Speaker 1: stopping domestic oil producers from exporting globally for the first time,

1252
01:05:57,600 --> 01:06:00,320
Speaker 1: which would have dramatically decreased the cost of our gas.

1253
01:06:00,560 --> 01:06:02,880
Speaker 1: On the coming heating bill crisis, which I've told you about,

1254
01:06:03,040 --> 01:06:05,880
Speaker 1: he has yet to take any action on electric prices

1255
01:06:06,000 --> 01:06:08,520
Speaker 1: or heating oil reserves. You are all about to get

1256
01:06:08,560 --> 01:06:11,400
Speaker 1: smacked with a thirty percent higher heating bill than normal times,

1257
01:06:11,560 --> 01:06:13,600
Speaker 1: and then nothing they can do about it. On supply

1258
01:06:13,680 --> 01:06:16,200
Speaker 1: chain crisis, he has done nothing. He's never sent the

1259
01:06:16,280 --> 01:06:18,560
Speaker 1: National Guard, he never sent the federal government's power to

1260
01:06:18,600 --> 01:06:20,400
Speaker 1: try and lessen the backlog at the Port of Los

1261
01:06:20,400 --> 01:06:23,560
Speaker 1: Angeles or elsewhere. I can go on forever. In every

1262
01:06:23,600 --> 01:06:26,720
Speaker 1: single sense, they take the easiest possible course of action

1263
01:06:27,040 --> 01:06:29,760
Speaker 1: to try and grab a headline, but don't actually solve

1264
01:06:29,760 --> 01:06:32,640
Speaker 1: the problem at home tests and the horrible answer she

1265
01:06:32,680 --> 01:06:36,360
Speaker 1: gave is just one example of how the Biden admin

1266
01:06:36,400 --> 01:06:39,920
Speaker 1: itself really does not believe in doing anything to help you.

1267
01:06:40,120 --> 01:06:43,000
Speaker 1: I mean, Crystal, she's scoffing at that idea. Oh oh,

1268
01:06:43,000 --> 01:06:45,480
Speaker 1: what are we supposed to do? Send it me? And

1269
01:06:45,520 --> 01:06:48,240
Speaker 1: if you want to hear my reaction to Sager's monologue,

1270
01:06:48,280 --> 01:06:53,880
Speaker 1: become a premium subscriber today at Breakingpoints dot com, Cristal,

1271
01:06:53,960 --> 01:06:56,360
Speaker 1: what are you taking a look at? Well, guys, the

1272
01:06:56,440 --> 01:07:00,040
Speaker 1: media has been too mean to Joe Biden, according to

1273
01:07:00,280 --> 01:07:03,360
Speaker 1: the media. A new column by Watching Post columnist Dana

1274
01:07:03,400 --> 01:07:06,040
Speaker 1: Milbank has been making the rounds in liberal elite circles,

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01:07:06,160 --> 01:07:09,080
Speaker 1: arguing that when compared to Trump, Biden's press coverage has

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01:07:09,120 --> 01:07:12,120
Speaker 1: been way too negative. The column calls on the media

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01:07:12,160 --> 01:07:14,760
Speaker 1: to get their act together and start giving Biden the

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01:07:14,840 --> 01:07:19,640
Speaker 1: fawning praise and uncritical stenography that he deserves. And if

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01:07:19,720 --> 01:07:23,400
Speaker 1: Biden does not receive this media tongue path, democracy will

1280
01:07:23,440 --> 01:07:26,960
Speaker 1: surely fail. It sounds like I'm kidding, I'm actually not.

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01:07:27,360 --> 01:07:30,080
Speaker 1: That's the analysis. Let's take a look at it. Here's

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01:07:30,080 --> 01:07:33,000
Speaker 1: the column. It's titled the media treats Biden as badly

1283
01:07:33,080 --> 01:07:37,320
Speaker 1: as or worse than Trump. Here's proof. The aforementioned proof

1284
01:07:37,600 --> 01:07:40,240
Speaker 1: is the fact that an AI algorithm found that over

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01:07:40,280 --> 01:07:43,320
Speaker 1: the past eleven months, Biden at times received more consistently

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01:07:43,320 --> 01:07:47,840
Speaker 1: negative coverage than Trump did. Specifically, this magical algorithm of

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01:07:47,960 --> 01:07:52,240
Speaker 1: media sentiment finds well Biden received a democracy saving amount

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01:07:52,280 --> 01:07:54,920
Speaker 1: of positive coverage in the early days of his presidency.

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01:07:55,320 --> 01:07:57,840
Speaker 1: Starting the summer, he began to be covered critically, and

1290
01:07:57,920 --> 01:08:00,360
Speaker 1: now his coverage is fairly similar in sentiments to that

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01:08:00,440 --> 01:08:03,000
Speaker 1: of Trump at the same time in twenty twenty. As

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01:08:03,000 --> 01:08:06,720
Speaker 1: a result of this critical Biden coverage, Democracy will probably end.

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01:08:07,120 --> 01:08:08,960
Speaker 1: Where to begin with all of this. First of all,

1294
01:08:09,280 --> 01:08:12,320
Speaker 1: be very skeptical about this algorithm, which we know really

1295
01:08:12,400 --> 01:08:16,360
Speaker 1: nothing about. Human language. Is very difficult to parse. How

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01:08:16,360 --> 01:08:18,479
Speaker 1: do you rate a cable news panel that says Trump

1297
01:08:18,560 --> 01:08:21,840
Speaker 1: is literal hitler versus a cable news panel that says, hey,

1298
01:08:21,920 --> 01:08:24,679
Speaker 1: Joe Biden's approval rating has fallen. Both would, I guess,

1299
01:08:24,680 --> 01:08:27,639
Speaker 1: be rated as a negative sentiment, But any actual human

1300
01:08:27,680 --> 01:08:29,879
Speaker 1: being with a brain could tell you that that sentiment

1301
01:08:30,000 --> 01:08:33,519
Speaker 1: is not exactly the same. But naturally, way too many

1302
01:08:33,520 --> 01:08:37,000
Speaker 1: pundit and jernotypes are taking this garbage seriously. Josh Marshall

1303
01:08:37,000 --> 01:08:40,519
Speaker 1: of TPM credulously retweeted the column, noting that it quote

1304
01:08:40,800 --> 01:08:45,120
Speaker 1: confirms what's been obvious obvious to who. Aaron Rupar, formerly

1305
01:08:45,160 --> 01:08:47,200
Speaker 1: of Foxed, did his own write up of the analysis,

1306
01:08:47,280 --> 01:08:50,000
Speaker 1: layering on top of the magical algorithm a few examples

1307
01:08:50,000 --> 01:08:53,200
Speaker 1: of articles that he deemed to be unfair to Biden. Now,

1308
01:08:53,240 --> 01:08:55,920
Speaker 1: in reality, these articles just pointed out that Democrats are

1309
01:08:55,960 --> 01:08:57,960
Speaker 1: in pretty bad shape heading into the midterms, which is

1310
01:08:58,000 --> 01:09:00,760
Speaker 1: both true and probably worth reporting, all though I would

1311
01:09:00,800 --> 01:09:03,360
Speaker 1: prefer a less horse race and more content there. And

1312
01:09:03,400 --> 01:09:07,120
Speaker 1: sant An's Brian Stelter hosted liberal media watcher Eric Bullert

1313
01:09:07,120 --> 01:09:09,280
Speaker 1: to back up the claims that were made by Millbank.

1314
01:09:10,240 --> 01:09:12,400
Speaker 1: I mentioned Dana Millbank. Here's his column for the Post

1315
01:09:12,439 --> 01:09:15,120
Speaker 1: this weekend, getting lots of buzz from liberals on Twitter.

1316
01:09:15,320 --> 01:09:18,600
Speaker 1: He says journalists are contributing to the murder of democracy.

1317
01:09:19,080 --> 01:09:22,240
Speaker 1: And he says he has data gathered by an artificial

1318
01:09:22,320 --> 01:09:26,479
Speaker 1: intelligence machine to show that the press has turned more

1319
01:09:26,520 --> 01:09:30,320
Speaker 1: negative against Biden than the press was against Trump at

1320
01:09:30,360 --> 01:09:33,280
Speaker 1: this time in Trump's first year. What do you think

1321
01:09:33,320 --> 01:09:36,240
Speaker 1: about that? Is that possible? Does it ring true to you?

1322
01:09:36,760 --> 01:09:38,240
Speaker 1: I think it rings true to my next guest, to

1323
01:09:38,320 --> 01:09:41,640
Speaker 1: Danian Millbank's column, I think is incredibly important, and I

1324
01:09:41,720 --> 01:09:44,479
Speaker 1: think it's very convincing that Biden actually is getting worse

1325
01:09:44,560 --> 01:09:47,639
Speaker 1: coverage now than Trump. Look, you know, and if Trump

1326
01:09:47,640 --> 01:09:50,559
Speaker 1: were a traditional Republican president, if he had been a

1327
01:09:50,640 --> 01:09:54,000
Speaker 1: Jeb Bush president, that would be okay. Look you know,

1328
01:09:54,040 --> 01:09:56,639
Speaker 1: Trump got bad coverage, Biden gets bad coverage. Everyone gets

1329
01:09:56,680 --> 01:10:01,559
Speaker 1: bad coverage. Trump was a fascist. Now listen, let me say,

1330
01:10:02,040 --> 01:10:04,720
Speaker 1: while no one should be persuaded by this algorithm, I

1331
01:10:04,760 --> 01:10:07,320
Speaker 1: do actually think there are instances where you could argue

1332
01:10:07,320 --> 01:10:10,040
Speaker 1: that the press was unfair to Biden, primarily with regards

1333
01:10:10,040 --> 01:10:13,599
Speaker 1: to the Afghan withdrawal. That coverage was wildly slanted against

1334
01:10:13,600 --> 01:10:16,320
Speaker 1: Biden in favor of the Hawks. The neocons, the grifters

1335
01:10:16,320 --> 01:10:19,000
Speaker 1: and psychopaths who lied to the American people for decades

1336
01:10:19,080 --> 01:10:22,160
Speaker 1: in order to keep the Afghan gravy train going forever.

1337
01:10:22,600 --> 01:10:24,840
Speaker 1: But of course there was nary a peep of pushback

1338
01:10:24,920 --> 01:10:27,720
Speaker 1: then from the mainstream press while that was all going on.

1339
01:10:27,760 --> 01:10:30,840
Speaker 1: They were too busy earnestly asking people like Conda, Liza Rice,

1340
01:10:30,880 --> 01:10:34,200
Speaker 1: and John Bolton for their advice and praising George W.

1341
01:10:34,360 --> 01:10:37,439
Speaker 1: Bush for offering his thoughts on the matter. I mean,

1342
01:10:37,520 --> 01:10:39,320
Speaker 1: isn't this always how it is with these people? They

1343
01:10:39,360 --> 01:10:41,640
Speaker 1: finally get around to criticizing the mainstream press, and then

1344
01:10:41,640 --> 01:10:44,240
Speaker 1: they do it from all the wrong directions. But by far,

1345
01:10:44,280 --> 01:10:47,639
Speaker 1: the most hilariously bad part of the Millbank column isn't

1346
01:10:47,640 --> 01:10:50,240
Speaker 1: the reliance on a secret algorithm to tell Millbank what

1347
01:10:50,280 --> 01:10:53,160
Speaker 1: he obviously already wanted to hear, or the assertion that

1348
01:10:53,200 --> 01:10:55,639
Speaker 1: the press has been harsher to Biden than Trump. It's

1349
01:10:55,680 --> 01:10:58,759
Speaker 1: the part where he argues that critical coverage of Biden

1350
01:10:59,160 --> 01:11:03,479
Speaker 1: is tantamount to assault on democracy. He directly says that

1351
01:11:03,520 --> 01:11:06,640
Speaker 1: in the column. Here are the relevant portions quote the

1352
01:11:06,680 --> 01:11:10,200
Speaker 1: findings confirmed. My fear my colleagues in the media are

1353
01:11:10,280 --> 01:11:14,600
Speaker 1: serving as accessories to the murder of democracy, He continues,

1354
01:11:15,200 --> 01:11:18,439
Speaker 1: we need a skeptical, independent press. But how about being

1355
01:11:18,600 --> 01:11:22,320
Speaker 1: partisans for democracy. The country is in an existential struggle

1356
01:11:22,320 --> 01:11:25,479
Speaker 1: between self governance and an authoritarian alternative, and we in

1357
01:11:25,520 --> 01:11:28,719
Speaker 1: the news media collectively have given equal, if not slightly

1358
01:11:28,720 --> 01:11:33,520
Speaker 1: more favorable treatment to the authoritarians. How about being partisans

1359
01:11:33,520 --> 01:11:36,400
Speaker 1: for democracy? He said, And you know what, I actually

1360
01:11:36,640 --> 01:11:40,120
Speaker 1: want the press to be partisans for democracy. But what

1361
01:11:40,160 --> 01:11:43,360
Speaker 1: does that actually mean? Millbank spells it out here in

1362
01:11:43,439 --> 01:11:45,960
Speaker 1: no uncertain terms. According to him and a whole bunch

1363
01:11:45,960 --> 01:11:49,120
Speaker 1: of liberal pundits and journals who agreed, being partisans for

1364
01:11:49,240 --> 01:11:54,280
Speaker 1: democracy means favorable coverage of establishment democrats. To do anything

1365
01:11:54,320 --> 01:11:56,960
Speaker 1: other than reprint their talking points and report out their

1366
01:11:56,960 --> 01:12:00,000
Speaker 1: preferred narratives is to hand the country to the authorities

1367
01:12:00,320 --> 01:12:04,080
Speaker 1: forces outside the proverbial gates. Now at breaking points, we've

1368
01:12:04,080 --> 01:12:06,720
Speaker 1: got a very different understanding, and we think about it

1369
01:12:06,760 --> 01:12:09,600
Speaker 1: a lot, because, in a sense, being partisans for democracy

1370
01:12:09,720 --> 01:12:12,439
Speaker 1: is what we actually try to do here, and it

1371
01:12:12,479 --> 01:12:16,639
Speaker 1: does not look like uncritical coverage of powerful actors, including

1372
01:12:16,680 --> 01:12:19,960
Speaker 1: the President of the United States. On the contrary, it

1373
01:12:20,040 --> 01:12:23,880
Speaker 1: requires challenging established, entrenched elite power structures on behalf of

1374
01:12:23,880 --> 01:12:26,599
Speaker 1: the people, whether that be challenging Big Pharma or Wall

1375
01:12:26,640 --> 01:12:29,160
Speaker 1: Street or Silicon Valley, or the Republican gouals or the

1376
01:12:29,200 --> 01:12:32,080
Speaker 1: Democratic gouals. To do so does not mean that the

1377
01:12:32,120 --> 01:12:35,000
Speaker 1: Republicans are just as bad as the Democrats, or the

1378
01:12:35,040 --> 01:12:37,960
Speaker 1: Democrats just as bad as the Republicans, Biden, just as

1379
01:12:37,960 --> 01:12:42,080
Speaker 1: bad as Trump. But there is no doubt that these broken, corrupt,

1380
01:12:42,160 --> 01:12:46,200
Speaker 1: ideologically bankrupt partisan organs are upholding a status quo that

1381
01:12:46,320 --> 01:12:48,719
Speaker 1: has led our country and its citizens to a state

1382
01:12:48,920 --> 01:12:52,960
Speaker 1: of entrenched decline. I would have loved the press to

1383
01:12:53,000 --> 01:12:56,040
Speaker 1: be partisans for democracy during the early two thousands, when

1384
01:12:56,040 --> 01:12:59,280
Speaker 1: they were instead busy parroting the Bush administration's lies to

1385
01:12:59,320 --> 01:13:03,040
Speaker 1: forces an accountastrophic in needless wars. I would have delighted

1386
01:13:03,120 --> 01:13:05,840
Speaker 1: in the press being partisans for democracy when they were

1387
01:13:05,880 --> 01:13:10,240
Speaker 1: instead ignoring widespread Wall Street fraud and shilling for banks

1388
01:13:10,280 --> 01:13:12,639
Speaker 1: instead of homeowners. During the two thousand and eight collapse.

1389
01:13:13,040 --> 01:13:15,200
Speaker 1: It would have been wonderful for the press to be

1390
01:13:15,280 --> 01:13:19,040
Speaker 1: partisans for democracy instead of terrifying everyone with their Russian

1391
01:13:19,080 --> 01:13:22,640
Speaker 1: spy conspiracies that persuaded half of America that their democracy

1392
01:13:22,760 --> 01:13:25,599
Speaker 1: was already gone and the other half, the press would

1393
01:13:25,640 --> 01:13:28,040
Speaker 1: parrot any wild claims so long as it was negative

1394
01:13:28,080 --> 01:13:31,680
Speaker 1: about Trump. And Yes, the media's failure to serve the

1395
01:13:31,720 --> 01:13:35,640
Speaker 1: people rather than these rotten institutions has helped open the

1396
01:13:35,680 --> 01:13:39,799
Speaker 1: door to authoritarianism as people lose faith and establish channels

1397
01:13:39,800 --> 01:13:42,400
Speaker 1: a political change and play foot set with would be

1398
01:13:42,520 --> 01:13:45,920
Speaker 1: strong men, no matter how absurd, like Donald Trump. And

1399
01:13:46,000 --> 01:13:48,880
Speaker 1: by the way, the problem with the media's coverage of

1400
01:13:48,920 --> 01:13:50,800
Speaker 1: Trump was not that it was too easy on him.

1401
01:13:50,960 --> 01:13:53,040
Speaker 1: The problem was that they obsessed over all of the

1402
01:13:53,080 --> 01:13:57,719
Speaker 1: wrong issues routinely every time. Russia Gate instead of Saudian

1403
01:13:57,760 --> 01:14:01,040
Speaker 1: Gulf money, Ukraine Gate instead of Trump some massive tax

1404
01:14:01,080 --> 01:14:04,320
Speaker 1: cuts to the one percent, mean tweets about Jim Acosta

1405
01:14:04,640 --> 01:14:07,480
Speaker 1: instead of the all out assault on press freedom represented

1406
01:14:07,479 --> 01:14:10,760
Speaker 1: by the prosecution of Julian Massange. And you might notice

1407
01:14:10,800 --> 01:14:14,000
Speaker 1: a pattern with all of these media Trump obsessions. Each

1408
01:14:14,120 --> 01:14:17,080
Speaker 1: one might have challenged Trump, but in service of some

1409
01:14:17,280 --> 01:14:21,160
Speaker 1: other established power center. Rather than go after Wall Street

1410
01:14:21,160 --> 01:14:24,320
Speaker 1: and billionaires, they ran cover for the deep state. Rather

1411
01:14:24,320 --> 01:14:27,880
Speaker 1: than go after the CIA gules. Embarrassed by Assange, they

1412
01:14:27,880 --> 01:14:31,599
Speaker 1: instead helped sell books for legacy media gules, rather than

1413
01:14:31,680 --> 01:14:34,559
Speaker 1: challenge the oceans of Gulf Petro state cash that prop

1414
01:14:34,640 --> 01:14:38,400
Speaker 1: up bipartisan Washington institutions. They decided to try to start

1415
01:14:38,439 --> 01:14:41,439
Speaker 1: a new Cold War. It's in those choices that the

1416
01:14:41,479 --> 01:14:45,760
Speaker 1: media failed to be a quote partisan for democracy. In

1417
01:14:45,840 --> 01:14:49,120
Speaker 1: other words, the media has got a lot of problems,

1418
01:14:49,240 --> 01:14:52,519
Speaker 1: but being too mean to Joe Biden ate one. I

1419
01:14:52,600 --> 01:14:57,599
Speaker 1: thought this column was so revealing that you know, you

1420
01:14:57,600 --> 01:14:59,920
Speaker 1: could look at it and if you want to hear

1421
01:15:00,160 --> 01:15:03,559
Speaker 1: my reaction to Crystal's monologue, become a premium subscriber today

1422
01:15:03,600 --> 01:15:10,240
Speaker 1: at Breakingpoints dot com. Joining us now live in person

1423
01:15:10,560 --> 01:15:13,120
Speaker 1: is Katie Helper. She is host of The Katie Helper

1424
01:15:13,160 --> 01:15:15,840
Speaker 1: Show and co host of the Useful Idiots podcast, along

1425
01:15:15,880 --> 01:15:17,920
Speaker 1: with another friend of the show, Matt Tye V. Greats

1426
01:15:17,920 --> 01:15:19,719
Speaker 1: to you, Katie. Could to see you. Katie, We're finally

1427
01:15:19,760 --> 01:15:22,800
Speaker 1: meeting in person now. As wild weird, I feel I've

1428
01:15:22,800 --> 01:15:24,800
Speaker 1: known you for years. I know that is really weird.

1429
01:15:25,000 --> 01:15:27,599
Speaker 1: I actually so. The reason Katie is in town is

1430
01:15:27,640 --> 01:15:31,559
Speaker 1: because she and myself and Maryan Williamson and Brianna Joy

1431
01:15:31,560 --> 01:15:34,519
Speaker 1: Gray at this very table by the way Saggar. Brianna

1432
01:15:34,560 --> 01:15:37,360
Speaker 1: was very well, she loved it. Yeah, she said, there's

1433
01:15:37,400 --> 01:15:40,040
Speaker 1: something that makes me feel powerful about sitting at this

1434
01:15:40,120 --> 01:15:42,920
Speaker 1: desk anyway, love it. We all came together to do

1435
01:15:42,960 --> 01:15:46,240
Speaker 1: a live stream to both raise awareness and also to

1436
01:15:46,720 --> 01:15:51,920
Speaker 1: benefit Steven Donziger's legal Defense Fund, and Katie normally is

1437
01:15:51,960 --> 01:15:53,439
Speaker 1: in New York but came down so that we could

1438
01:15:53,439 --> 01:15:55,880
Speaker 1: all be together, which was another thing that like, you know,

1439
01:15:55,960 --> 01:15:58,599
Speaker 1: we're all we're all friends, but we realized I don't

1440
01:15:58,600 --> 01:16:00,880
Speaker 1: think we've ever We've certainly never all in the same

1441
01:16:00,920 --> 01:16:02,960
Speaker 1: room together. I don't even know if we've all been

1442
01:16:03,000 --> 01:16:05,200
Speaker 1: in the same state together. So it was a little

1443
01:16:05,240 --> 01:16:08,040
Speaker 1: bit of a left YouTube history. But Katie, I wanted

1444
01:16:08,080 --> 01:16:09,960
Speaker 1: to have you on both to talk a little bit

1445
01:16:10,040 --> 01:16:12,439
Speaker 1: about the stream last night, which I think you know,

1446
01:16:12,479 --> 01:16:15,480
Speaker 1: we were really excited about and we had some incredible

1447
01:16:15,680 --> 01:16:18,200
Speaker 1: guests who were able to join us, but also just

1448
01:16:18,200 --> 01:16:21,480
Speaker 1: to talk about the issue itself. You kind of spearheaded.

1449
01:16:21,680 --> 01:16:23,280
Speaker 1: You know, we were all on board, but you really

1450
01:16:23,320 --> 01:16:24,760
Speaker 1: took the reins of saying we got to do this,

1451
01:16:24,840 --> 01:16:26,080
Speaker 1: and we got to do it now, and let's set

1452
01:16:26,120 --> 01:16:28,160
Speaker 1: a date and let's get this going. So just speak

1453
01:16:28,160 --> 01:16:32,000
Speaker 1: a little bit to why this was so important to you. Yeah, well,

1454
01:16:32,000 --> 01:16:35,240
Speaker 1: thanks for having me on again. And I think this

1455
01:16:35,439 --> 01:16:38,880
Speaker 1: the Stephen Donziger case. To me, it's pretty similar in

1456
01:16:38,920 --> 01:16:41,599
Speaker 1: some ways. There are obviously some differences, but it's an

1457
01:16:41,640 --> 01:16:45,000
Speaker 1: interesting parallel to the Assage case in many ways, where

1458
01:16:45,040 --> 01:16:48,920
Speaker 1: you have, in the case of Donziger, you have a

1459
01:16:49,280 --> 01:16:54,559
Speaker 1: corporate prosecution and persecution of someone who was just doing

1460
01:16:55,520 --> 01:16:58,679
Speaker 1: his job. He was defending people in Ecuador who's poisoned,

1461
01:16:58,680 --> 01:17:01,679
Speaker 1: whose water had been poisoned by run. He was doing

1462
01:17:01,720 --> 01:17:05,040
Speaker 1: something really noble. He was taking on incredibly powerful corporation,

1463
01:17:05,160 --> 01:17:09,080
Speaker 1: and for that reason he was punished by being sent

1464
01:17:09,120 --> 01:17:12,040
Speaker 1: to prison, after being sent to living under house arrests.

1465
01:17:12,479 --> 01:17:15,320
Speaker 1: And it's a topsy turvy world right where you have

1466
01:17:15,360 --> 01:17:17,760
Speaker 1: the person who actually does the right thing takes on

1467
01:17:17,920 --> 01:17:21,960
Speaker 1: the evil corporation and Chevron, while there was a lawsuit

1468
01:17:22,000 --> 01:17:24,639
Speaker 1: that determined they owed the people of Ecuador nine point

1469
01:17:24,680 --> 01:17:27,439
Speaker 1: five billion dollars, has paid nothing. The only person who

1470
01:17:27,479 --> 01:17:30,840
Speaker 1: has suffered any consequences as a result of this has

1471
01:17:30,880 --> 01:17:34,760
Speaker 1: been the person who went after Chevron, Stephen Donziger. And

1472
01:17:34,840 --> 01:17:38,479
Speaker 1: in a similar vein you have Assange, Snowden and Manning.

1473
01:17:38,560 --> 01:17:41,439
Speaker 1: The only people who have gotten to any trouble over

1474
01:17:41,560 --> 01:17:48,920
Speaker 1: the United States is you know, awful war crimes have

1475
01:17:49,040 --> 01:17:51,519
Speaker 1: been the people who have helped reveal those war crimes.

1476
01:17:51,760 --> 01:17:54,920
Speaker 1: And it really puts, I think, a light on how

1477
01:17:55,520 --> 01:17:57,960
Speaker 1: much of a joke our democracy has become. And you

1478
01:17:58,000 --> 01:18:00,519
Speaker 1: see this both in the actions of the US government

1479
01:18:01,000 --> 01:18:04,360
Speaker 1: and also the complicity of the media. And you also

1480
01:18:04,400 --> 01:18:06,920
Speaker 1: see how bipartisan this project is, right because you have

1481
01:18:07,000 --> 01:18:10,000
Speaker 1: this under Trump and under Biden. And something we've talked

1482
01:18:10,000 --> 01:18:14,080
Speaker 1: about before is how actually, you know, hello, lives out there.

1483
01:18:14,160 --> 01:18:16,240
Speaker 1: You should be up in arms about this. If Trump

1484
01:18:16,280 --> 01:18:19,160
Speaker 1: did this, you know, this corporate prosecution, you'd be very

1485
01:18:19,240 --> 01:18:22,120
Speaker 1: upset if when if Trump and Pompeo did this, Why

1486
01:18:22,200 --> 01:18:24,080
Speaker 1: is Joe Biden in the case of assage, Why is

1487
01:18:24,120 --> 01:18:29,000
Speaker 1: Biden siding with Pompeo and Trump and not Obama? Yeah.

1488
01:18:29,040 --> 01:18:30,680
Speaker 1: I think the part that really got to me with

1489
01:18:30,760 --> 01:18:32,800
Speaker 1: Stephen is the first lawyer and you, even if he

1490
01:18:32,840 --> 01:18:34,320
Speaker 1: was guilty, which is very up in the air, is

1491
01:18:34,320 --> 01:18:36,080
Speaker 1: the first lawyer in US history has literally ever served

1492
01:18:36,120 --> 01:18:38,559
Speaker 1: jail time for in contempt at court and also was

1493
01:18:38,640 --> 01:18:41,040
Speaker 1: being prosecuted by a private prosecutor. I mean, when I

1494
01:18:41,120 --> 01:18:43,360
Speaker 1: learned all the details, Yeah, it's in the thing. Yeah, completely,

1495
01:18:43,800 --> 01:18:45,599
Speaker 1: It's so insane. It's hard to wrap your head. Yeah,

1496
01:18:45,640 --> 01:18:47,880
Speaker 1: it's actually hard to explain because you're like, well, there

1497
01:18:47,920 --> 01:18:51,240
Speaker 1: was a conspiracies, but it's for real, You're true. You're like, what,

1498
01:18:51,880 --> 01:18:54,920
Speaker 1: you were at home for two years and now you're

1499
01:18:55,000 --> 01:18:57,479
Speaker 1: in jail. Like, so, I know, you guys have a

1500
01:18:57,520 --> 01:18:59,920
Speaker 1: statement from Stephen. Do you want to read some of them?

1501
01:19:00,120 --> 01:19:04,599
Speaker 1: He he wrote us a statement from prison, and it's

1502
01:19:04,640 --> 01:19:07,479
Speaker 1: relatively lengthy. I think we'll post it online so you

1503
01:19:07,520 --> 01:19:09,439
Speaker 1: guys can see the whole thing, but I'll just read

1504
01:19:09,479 --> 01:19:11,479
Speaker 1: a little bit of it, he says. I write this

1505
01:19:11,600 --> 01:19:14,679
Speaker 1: via email on day forty two of my imprisonment. As

1506
01:19:14,720 --> 01:19:17,479
Speaker 1: to your point, Sagar, the first lawyer in the US

1507
01:19:17,520 --> 01:19:22,200
Speaker 1: to spend even one day in jail for my misdemeanor

1508
01:19:22,280 --> 01:19:25,120
Speaker 1: contempt offense, for which I assert my innocence. I am

1509
01:19:25,160 --> 01:19:27,439
Speaker 1: the first lawyer ever to be locked up for a

1510
01:19:27,439 --> 01:19:30,840
Speaker 1: misdemeanor of any kind. As the United Nations ruled, my

1511
01:19:30,960 --> 01:19:34,240
Speaker 1: jailing in the nation's first corporate prosecution appears to be

1512
01:19:34,320 --> 01:19:37,360
Speaker 1: retaliation for my successful work as a human rights lawyer

1513
01:19:37,400 --> 01:19:41,200
Speaker 1: who helped indigenous peoples in Ecuador win a historic ten

1514
01:19:41,240 --> 01:19:44,200
Speaker 1: billion dollar pollution judgment against Chevron. And I'll just give

1515
01:19:44,200 --> 01:19:46,400
Speaker 1: you a few of the details. I mean he talks

1516
01:19:46,400 --> 01:19:49,200
Speaker 1: about look life in prison. I know there are lots

1517
01:19:49,240 --> 01:19:53,559
Speaker 1: of jokes about club fed. This is not a fun

1518
01:19:53,720 --> 01:19:59,040
Speaker 1: place to be. Federal prison is extraordinarily difficult and tough environment,

1519
01:19:59,120 --> 01:20:02,200
Speaker 1: and it's been made made even worse that they've been

1520
01:20:02,479 --> 01:20:07,000
Speaker 1: in lockdown over COVID since November eighteenth. Nobody can get

1521
01:20:07,000 --> 01:20:09,360
Speaker 1: outside except once or twice a week for an hour.

1522
01:20:10,000 --> 01:20:12,200
Speaker 1: I live with another man in a sixty square foot

1523
01:20:12,240 --> 01:20:15,280
Speaker 1: cell designed for one person. We take meals in the cell.

1524
01:20:15,400 --> 01:20:19,040
Speaker 1: Food is scarce, medical cares, body programming largely on hold,

1525
01:20:19,240 --> 01:20:22,840
Speaker 1: and COVID testing is virtually nonexistent. This is close to

1526
01:20:22,920 --> 01:20:26,200
Speaker 1: solitary confinement. It is a hard time. Of nine hundred

1527
01:20:26,240 --> 01:20:28,240
Speaker 1: or so men in the prison, I'm the only person

1528
01:20:28,560 --> 01:20:33,280
Speaker 1: here not convicted of a felony. He does say, I mean,

1529
01:20:33,640 --> 01:20:36,439
Speaker 1: it's horrific what's been done to him, what's been done

1530
01:20:36,520 --> 01:20:39,760
Speaker 1: to his family, and of course the bigger picture, what

1531
01:20:39,800 --> 01:20:41,719
Speaker 1: it means for all of us, and what it means

1532
01:20:41,960 --> 01:20:44,519
Speaker 1: for the people in Ecuador, which he always and goes

1533
01:20:44,560 --> 01:20:47,920
Speaker 1: on of his way here too, to say, don't forget

1534
01:20:47,960 --> 01:20:53,040
Speaker 1: what this is all about. Chevron committed grave crimes in Ecuador,

1535
01:20:53,080 --> 01:20:55,160
Speaker 1: for which they have yet to pay a single dollar.

1536
01:20:55,680 --> 01:20:58,000
Speaker 1: And some of what we heard last night, Katie was

1537
01:20:58,120 --> 01:21:00,920
Speaker 1: people who had been to Ecuador, had spoken to people,

1538
01:21:01,080 --> 01:21:03,959
Speaker 1: some of the activists who have been involved, who understand

1539
01:21:03,960 --> 01:21:05,960
Speaker 1: the extent of the damage there that's been done. Yeah.

1540
01:21:05,960 --> 01:21:08,760
Speaker 1: I spoke to Luisiansa, who is part of the Amazon

1541
01:21:08,880 --> 01:21:12,280
Speaker 1: Defense Coalition, who lives in this area, Lago Agrio, which

1542
01:21:12,320 --> 01:21:15,760
Speaker 1: was poisoned by Chevron, and you know, the cancer rates,

1543
01:21:15,760 --> 01:21:20,240
Speaker 1: the birth defects. Again, this is just absolute venal, craven

1544
01:21:20,400 --> 01:21:25,400
Speaker 1: greed that allows for Chevron to just literally sentence people

1545
01:21:25,439 --> 01:21:28,440
Speaker 1: to death in order to make more money. And it's rapacious.

1546
01:21:28,479 --> 01:21:30,639
Speaker 1: And again the fact that the only person who's been

1547
01:21:30,680 --> 01:21:33,160
Speaker 1: in trouble for this has been Stephen and they're also

1548
01:21:33,240 --> 01:21:37,160
Speaker 1: going after people in Ecuador, a lawyer in Ecuador, and Luisiansa,

1549
01:21:37,200 --> 01:21:40,599
Speaker 1: this activist. So I think we also have another statement,

1550
01:21:40,640 --> 01:21:43,559
Speaker 1: by the way, from Noam Chomsky, which I think sums

1551
01:21:43,600 --> 01:21:46,120
Speaker 1: it up with we had so many wonderful guests last

1552
01:21:46,200 --> 01:21:48,200
Speaker 1: night that we couldn't even get to all the things.

1553
01:21:48,360 --> 01:21:50,639
Speaker 1: You got to turn into the stream, YouTube dot com

1554
01:21:50,640 --> 01:21:52,599
Speaker 1: slash the Katie Halpersha, I'm not saying that's a plug.

1555
01:21:52,640 --> 01:21:56,160
Speaker 1: Although a plug is of course nice. Really okay, yeah, awesome.

1556
01:21:56,360 --> 01:21:58,479
Speaker 1: And so this is what Noam Chomsky said over email

1557
01:21:58,560 --> 01:22:01,080
Speaker 1: to me Stephen Donze. Group of formed a major service

1558
01:22:01,120 --> 01:22:03,719
Speaker 1: for all of us by exposing the shocking activities of Chevron.

1559
01:22:03,800 --> 01:22:06,559
Speaker 1: His reward to be targeted by a vicious corporate judicial

1560
01:22:06,600 --> 01:22:10,280
Speaker 1: campaign relying on the vast resources of the corporation whose

1561
01:22:10,280 --> 01:22:13,480
Speaker 1: mouthfeasings he exposed, and to be subjected to harsh punishment.

1562
01:22:13,760 --> 01:22:16,840
Speaker 1: This is not only a disgraceful miscarriage of justice, but also,

1563
01:22:16,880 --> 01:22:19,640
Speaker 1: as no doubt intended, a warning to others daring to

1564
01:22:19,680 --> 01:22:23,280
Speaker 1: expose the crimes of powerful corporate institutions. Wow with some

1565
01:22:23,320 --> 01:22:25,679
Speaker 1: of them. Let me ask you guys this, what's next?

1566
01:22:25,840 --> 01:22:27,519
Speaker 1: I mean, is there any possible I mean, I know

1567
01:22:27,560 --> 01:22:29,320
Speaker 1: he's going to get out of prison? What six months?

1568
01:22:29,400 --> 01:22:32,040
Speaker 1: You think? I mean? But is there any recourse on

1569
01:22:32,080 --> 01:22:35,320
Speaker 1: having this vacated? Like what exactly is the next course

1570
01:22:35,320 --> 01:22:38,200
Speaker 1: of action for Well, they are trying to get it vacated.

1571
01:22:38,200 --> 01:22:39,760
Speaker 1: They're trying to make it so he doesn't have to

1572
01:22:40,000 --> 01:22:44,160
Speaker 1: still fulfill the six months sentence. But you know something else,

1573
01:22:44,200 --> 01:22:46,400
Speaker 1: And I spoke to one of his lawyers Martin Garbus

1574
01:22:46,439 --> 01:22:49,719
Speaker 1: is that Chevron can just go at him again and again.

1575
01:22:49,800 --> 01:22:51,439
Speaker 1: They can throw all the money that they want to

1576
01:22:51,479 --> 01:22:53,840
Speaker 1: into this case, because it's not just about avoiding paying

1577
01:22:53,840 --> 01:22:56,360
Speaker 1: the nine point five billion dollars, it's really about not

1578
01:22:56,400 --> 01:22:58,840
Speaker 1: wanting to set a precedent where they are at all

1579
01:22:58,880 --> 01:23:02,080
Speaker 1: responsible for their acts. So part of the reason that

1580
01:23:02,120 --> 01:23:05,600
Speaker 1: freeing Stephen Donziger and raising funds for Stephen Donzeger is

1581
01:23:05,600 --> 01:23:07,679
Speaker 1: so important is you're also raising funds for the people

1582
01:23:07,680 --> 01:23:10,280
Speaker 1: of Ecuador that they can continue this legal fight to

1583
01:23:10,320 --> 01:23:12,519
Speaker 1: make them pay. And I just think that something is

1584
01:23:12,560 --> 01:23:14,960
Speaker 1: so important is that one of the two very corrupt

1585
01:23:15,000 --> 01:23:17,639
Speaker 1: judges who oversaw this case, and of course something irregular

1586
01:23:17,680 --> 01:23:21,080
Speaker 1: about this case is that the prosecutor declined to prosecute,

1587
01:23:21,320 --> 01:23:24,519
Speaker 1: and Judge Kaplan then took the extraordinary step of hiring

1588
01:23:24,520 --> 01:23:28,640
Speaker 1: a private firm to prosecute which who had rights, and

1589
01:23:28,680 --> 01:23:31,519
Speaker 1: that firm had represented Chevron. They He also hand picked

1590
01:23:31,560 --> 01:23:33,479
Speaker 1: the judge and sent it to this judge from the

1591
01:23:33,479 --> 01:23:44,240
Speaker 1: Federalist Society No Shade Ahead, which is a right wing

1592
01:23:44,400 --> 01:23:47,479
Speaker 1: legal organization that of course the left would be nice, hello,

1593
01:23:47,560 --> 01:23:49,599
Speaker 1: you could start doing this yourself, but whatever, of course

1594
01:23:49,600 --> 01:23:54,639
Speaker 1: they don't do that. And she is so brazen in

1595
01:23:54,680 --> 01:23:59,960
Speaker 1: her taunting of Donziger that during her sentencing she said

1596
01:24:00,080 --> 01:24:02,679
Speaker 1: that it seems like only the proverbial two by four

1597
01:24:02,720 --> 01:24:05,360
Speaker 1: between the eyes will and still a sense of respect

1598
01:24:05,360 --> 01:24:07,960
Speaker 1: to the law from mister Donziger. How I mean the

1599
01:24:08,000 --> 01:24:11,720
Speaker 1: impunity and the lack of I mean, I'm not a

1600
01:24:11,720 --> 01:24:14,120
Speaker 1: big decorum person, but I thought judges were supposed to

1601
01:24:14,160 --> 01:24:16,200
Speaker 1: have no I mean, if anybody's supposed to percorm is

1602
01:24:16,200 --> 01:24:18,719
Speaker 1: probably a joke. Yeah, I agree with you, Marian and

1603
01:24:18,920 --> 01:24:22,479
Speaker 1: Susan Sarandon, who wants to I think play judge press. Yeah,

1604
01:24:25,160 --> 01:24:28,320
Speaker 1: we're talking about how she seemed to actually take pleasure

1605
01:24:28,800 --> 01:24:32,880
Speaker 1: in a psychopathic way in what they were what they

1606
01:24:32,880 --> 01:24:36,120
Speaker 1: were doing to Steven. And to your point, Katie, you

1607
01:24:36,120 --> 01:24:39,320
Speaker 1: know anyone would forgive this man at this point if

1608
01:24:39,320 --> 01:24:41,200
Speaker 1: he said, you know what I get on a prison,

1609
01:24:41,240 --> 01:24:42,840
Speaker 1: I want to move round like I want to go

1610
01:24:42,920 --> 01:24:44,600
Speaker 1: on with live, I want to do other things like

1611
01:24:44,640 --> 01:24:47,240
Speaker 1: God bless you, I hope, but I gotta I have

1612
01:24:47,280 --> 01:24:49,200
Speaker 1: a family, I have a life. I got to move

1613
01:24:49,240 --> 01:24:52,759
Speaker 1: on to something different. But he fully intends to continue

1614
01:24:52,920 --> 01:24:55,840
Speaker 1: pressing the case against Chevron, which to your point, is

1615
01:24:55,880 --> 01:24:59,160
Speaker 1: why the legal defense fund isn't just about which that

1616
01:24:59,160 --> 01:25:01,840
Speaker 1: would be a worthy in and of itself. He has

1617
01:25:01,920 --> 01:25:05,560
Speaker 1: such massive legal bills, which was also an intentional strategy

1618
01:25:05,600 --> 01:25:08,599
Speaker 1: of Chevron to pile up massive legal bills and sort

1619
01:25:08,640 --> 01:25:11,360
Speaker 1: of like bleed him dry war of attrition. But that's

1620
01:25:11,439 --> 01:25:13,760
Speaker 1: we were raising money for his legal defense fund, both

1621
01:25:13,800 --> 01:25:16,320
Speaker 1: so that he can cover his legal expenses, but also

1622
01:25:16,360 --> 01:25:19,040
Speaker 1: so that he can continue the fight against Chevron, because

1623
01:25:19,040 --> 01:25:20,519
Speaker 1: the fact of the matter is they have yet to

1624
01:25:20,560 --> 01:25:24,040
Speaker 1: pay a single dollar for the crimes that they committed.

1625
01:25:24,320 --> 01:25:26,439
Speaker 1: Just so people get a sense of I mean, we

1626
01:25:26,479 --> 01:25:30,120
Speaker 1: really had. We had Roger Waters, we had Richard Wolfe,

1627
01:25:30,120 --> 01:25:33,240
Speaker 1: who was phenomenal. We had Susan Surin, and we had

1628
01:25:33,320 --> 01:25:37,600
Speaker 1: Chris Hedges Lucy Lawless. Lucy Lawless, Yeah, she was fantastic.

1629
01:25:39,000 --> 01:25:41,879
Speaker 1: I'd never spoken with her before or really watched her before,

1630
01:25:42,000 --> 01:25:45,120
Speaker 1: and she had actually traveled to Actudoor and so she

1631
01:25:45,200 --> 01:25:49,679
Speaker 1: could speak with great passion and eloquence to the situation

1632
01:25:49,720 --> 01:25:52,439
Speaker 1: on the ground there. But we also had Nina turner

1633
01:25:52,479 --> 01:25:56,400
Speaker 1: On who as always eloquent and passionate. Let's take a

1634
01:25:56,400 --> 01:25:58,000
Speaker 1: listen to a little of what Nina had to say.

1635
01:25:58,320 --> 01:26:01,439
Speaker 1: I just want to make two important points, which is,

1636
01:26:02,600 --> 01:26:07,839
Speaker 1: justice cannot wait until the opposing party is in power

1637
01:26:08,280 --> 01:26:11,200
Speaker 1: for us to stand up for it. If it's just

1638
01:26:11,479 --> 01:26:14,240
Speaker 1: to stand up for this under Trump, is just to

1639
01:26:14,240 --> 01:26:17,080
Speaker 1: stand up for this under Biden, so that shouldn't matter.

1640
01:26:17,280 --> 01:26:20,280
Speaker 1: And then secondly, I want people to imagine if they

1641
01:26:20,320 --> 01:26:23,759
Speaker 1: were in the middle of an ocean drowning, which person

1642
01:26:23,960 --> 01:26:25,840
Speaker 1: or persons do you want to come and save you?

1643
01:26:26,200 --> 01:26:28,760
Speaker 1: Do you want the person who's gonna parse out you

1644
01:26:28,800 --> 01:26:31,080
Speaker 1: know who's gonna be hurt if I come to save you,

1645
01:26:31,240 --> 01:26:34,800
Speaker 1: who's feelings who? Or do you want somebody to say

1646
01:26:34,840 --> 01:26:38,640
Speaker 1: the hell with whoever I'm coming out to radically save you?

1647
01:26:38,760 --> 01:26:40,559
Speaker 1: Or if your house was on fire, well guess what

1648
01:26:40,960 --> 01:26:45,679
Speaker 1: our house, being Mother Earth, is on fire. The people

1649
01:26:45,720 --> 01:26:50,040
Speaker 1: of Ecuador have been transgressed. Stephen and other folks have

1650
01:26:50,160 --> 01:26:54,080
Speaker 1: stood up for these people. Now Stephen is in jet

1651
01:26:54,120 --> 01:26:57,599
Speaker 1: in prison, paying the price for standing up for justice,

1652
01:26:57,640 --> 01:27:00,720
Speaker 1: and the least we can do is have the decency

1653
01:27:01,120 --> 01:27:04,439
Speaker 1: to call out people who ask for this power. You know, Brido,

1654
01:27:04,520 --> 01:27:06,920
Speaker 1: I'm right with you, which is boggles my mind how

1655
01:27:06,960 --> 01:27:09,840
Speaker 1: we are programmed to protect the people who have the

1656
01:27:09,880 --> 01:27:12,800
Speaker 1: most power and then look down our noses and tell

1657
01:27:12,840 --> 01:27:15,360
Speaker 1: the people who have the least power to wait for

1658
01:27:15,600 --> 01:27:19,879
Speaker 1: justice to come. Now, we did have one member of Congress,

1659
01:27:20,360 --> 01:27:24,040
Speaker 1: Cheery Garcia out of Illinois, who sent us a pre

1660
01:27:24,120 --> 01:27:28,880
Speaker 1: recorded message which we really appreciated. We've had Rashida Talib

1661
01:27:30,120 --> 01:27:33,240
Speaker 1: who advocated, and we've also had I think maybe nine

1662
01:27:33,240 --> 01:27:36,600
Speaker 1: members of Congress who signed onto a letter calling on

1663
01:27:36,680 --> 01:27:39,760
Speaker 1: the Department of Justice too. Do they call them to

1664
01:27:39,840 --> 01:27:42,760
Speaker 1: commute a sentence or to take over the poat reclaim it.

1665
01:27:42,880 --> 01:27:44,800
Speaker 1: I mean Stephen Gobetor says, I'm the only person who

1666
01:27:44,800 --> 01:27:48,200
Speaker 1: wants to be prosecuted by but what justice right? But

1667
01:27:48,240 --> 01:27:50,639
Speaker 1: what Nina's getting at here, Senator Turner is getting at

1668
01:27:50,680 --> 01:27:54,120
Speaker 1: here is like, what are you all afraid of? Because ultimately,

1669
01:27:55,160 --> 01:28:00,800
Speaker 1: you know, grassroots upswell of support, which Stephen has behind him,

1670
01:28:00,800 --> 01:28:03,720
Speaker 1: and we saw you know, people responding online last night.

1671
01:28:04,160 --> 01:28:06,880
Speaker 1: That's one thing. But these are the people in power.

1672
01:28:06,920 --> 01:28:08,599
Speaker 1: I mean, they're the ones who could make things really

1673
01:28:08,720 --> 01:28:12,320
Speaker 1: uncomfortable for the Biden administration and shame them into action

1674
01:28:12,479 --> 01:28:17,400
Speaker 1: and point out the dramatic inconsistency between their statement and

1675
01:28:17,479 --> 01:28:21,160
Speaker 1: their actions or inaction on this case. And so far

1676
01:28:21,200 --> 01:28:23,840
Speaker 1: we haven't seen much yeah, I mean, so the ask is,

1677
01:28:23,880 --> 01:28:27,120
Speaker 1: obviously they could take it back from this corporate prosecution,

1678
01:28:27,320 --> 01:28:29,600
Speaker 1: or they could just free him immediately. And something we

1679
01:28:29,640 --> 01:28:32,400
Speaker 1: see a lot is this, you know, hiding behind the

1680
01:28:32,560 --> 01:28:36,200
Speaker 1: veil of technocracy or the veil of you know, would

1681
01:28:36,240 --> 01:28:37,400
Speaker 1: love to do it, just can't do that, and we

1682
01:28:37,439 --> 01:28:39,640
Speaker 1: all know that that's a myth. So they could immediately

1683
01:28:39,680 --> 01:28:42,080
Speaker 1: free him. Also, I should mention people should go to

1684
01:28:42,120 --> 01:28:44,439
Speaker 1: Fredonziga dot com to learn about more about what can

1685
01:28:44,479 --> 01:28:46,840
Speaker 1: be done. But yeah, I think again, we see this

1686
01:28:46,960 --> 01:28:49,400
Speaker 1: thing that if we're done under Trump, people would be

1687
01:28:49,520 --> 01:28:52,200
Speaker 1: up in arms, and instead of calling it out to

1688
01:28:52,280 --> 01:28:54,200
Speaker 1: be fair. Part of the reason they're not calling it

1689
01:28:54,240 --> 01:28:56,200
Speaker 1: out is because the Dems aren't that much better when

1690
01:28:56,240 --> 01:28:58,679
Speaker 1: it comes to climate change, when it comes to their

1691
01:28:58,760 --> 01:29:04,240
Speaker 1: donors having to fossil fuels. And we see the people

1692
01:29:04,240 --> 01:29:08,800
Speaker 1: who represent Stephen in Congress and in the Senate, Jillibrand,

1693
01:29:08,920 --> 01:29:13,040
Speaker 1: Schumer and Jerry Nadler, they have ignored, they haven't even

1694
01:29:13,040 --> 01:29:17,880
Speaker 1: bothered to respond to the significant and substantial petitions that

1695
01:29:17,880 --> 01:29:20,559
Speaker 1: they've gotten from their own constituents asking them to address this.

1696
01:29:20,840 --> 01:29:22,639
Speaker 1: And that's in large part because they have their own

1697
01:29:22,640 --> 01:29:25,479
Speaker 1: ties to the fossil fuel industry. And I think that

1698
01:29:25,560 --> 01:29:28,240
Speaker 1: what Nina is saying here is so important, and as always,

1699
01:29:28,280 --> 01:29:32,040
Speaker 1: Senator Turners so eloquent and so inspired and inspiring. And

1700
01:29:32,200 --> 01:29:35,320
Speaker 1: the question is will Democrats actually wake up to things

1701
01:29:35,360 --> 01:29:39,320
Speaker 1: like this? Will they actually differentiate themselves as not Republicans indeed,

1702
01:29:39,400 --> 01:29:41,760
Speaker 1: not just in rhetoric. And we see it, whether it's

1703
01:29:41,760 --> 01:29:45,080
Speaker 1: climate change in general, dragging their heels on climate change,

1704
01:29:45,280 --> 01:29:47,519
Speaker 1: or the way that they are allowing for this corporate

1705
01:29:47,560 --> 01:29:50,960
Speaker 1: prosecution and corporate persecution of Donziger, which again they would

1706
01:29:51,080 --> 01:29:53,280
Speaker 1: in rhetoric. This is why it's so convenient for the

1707
01:29:53,320 --> 01:29:55,360
Speaker 1: Dems to have Republicans in power, because it's great to

1708
01:29:55,360 --> 01:29:57,400
Speaker 1: be able to point to the Republicans as the bad

1709
01:29:57,400 --> 01:29:59,040
Speaker 1: guys when they do this, and they are the bad

1710
01:29:59,080 --> 01:30:01,120
Speaker 1: guys when they do this. They're slightly worse, I would say,

1711
01:30:01,160 --> 01:30:03,559
Speaker 1: on these issues, and the Democrats are definitely right. I

1712
01:30:03,600 --> 01:30:06,400
Speaker 1: mean there's a substantive difference, yes, but that's not enough.

1713
01:30:06,640 --> 01:30:08,880
Speaker 1: You can't be just slightly. You can't just be not

1714
01:30:09,080 --> 01:30:12,800
Speaker 1: Trump on these issues. Yeah no, And on these particular

1715
01:30:12,880 --> 01:30:16,519
Speaker 1: issues they're not even not Trump. They're literally with the

1716
01:30:16,600 --> 01:30:21,280
Speaker 1: songe yea with Donzigger. They're continuing the exact same direction

1717
01:30:21,560 --> 01:30:24,880
Speaker 1: of the Trump Department of Justice. Guys, if you want to,

1718
01:30:25,160 --> 01:30:27,080
Speaker 1: we'd love for you to watch the stream. It's at

1719
01:30:27,320 --> 01:30:29,840
Speaker 1: Katie's channel on YouTube. Will post the link in the

1720
01:30:29,840 --> 01:30:33,400
Speaker 1: comments if you're able to give free doonzigger dot com

1721
01:30:33,439 --> 01:30:36,160
Speaker 1: to his legal defense fund, both for his legal bills

1722
01:30:36,160 --> 01:30:38,760
Speaker 1: but also to continue the fight against Chevron, because this

1723
01:30:38,880 --> 01:30:41,400
Speaker 1: is just an incredible travesty. And I just I ask

1724
01:30:41,439 --> 01:30:44,599
Speaker 1: everybody he's in prison. I mean, we've had Stephen on

1725
01:30:45,120 --> 01:30:48,720
Speaker 1: a number of times, Katie's interviewed him. He's an incredibly

1726
01:30:48,720 --> 01:30:52,320
Speaker 1: effective advocate and spokesperson for himself, but he can't speak

1727
01:30:52,360 --> 01:30:54,479
Speaker 1: right now. So we have to keep the pressure on,

1728
01:30:54,960 --> 01:30:56,840
Speaker 1: we have to keep the attention on. And that was

1729
01:30:56,880 --> 01:30:59,719
Speaker 1: really the inspiration, Yeah, tonight for Stephen, for his wife

1730
01:30:59,800 --> 01:31:01,760
Speaker 1: or his son, and for the people of Ecuador, and

1731
01:31:01,800 --> 01:31:04,840
Speaker 1: for justice in general and taking on corporate power in general.

1732
01:31:04,920 --> 01:31:06,519
Speaker 1: That's exact. I don't know if you announced this, Crystal,

1733
01:31:06,520 --> 01:31:09,360
Speaker 1: but we're putting one thousand dollars here breaking points into

1734
01:31:09,400 --> 01:31:11,000
Speaker 1: the fund, and I encourage you guys to do so

1735
01:31:11,080 --> 01:31:12,960
Speaker 1: as well. You know, no matter where you fall, it's

1736
01:31:12,960 --> 01:31:15,240
Speaker 1: an important case. The only lawyer in US history to

1737
01:31:15,280 --> 01:31:18,559
Speaker 1: be in prison for contempt. That's crazy. Yeah, and the

1738
01:31:18,600 --> 01:31:21,080
Speaker 1: allegations are fraud against him, by the way, we're based

1739
01:31:21,120 --> 01:31:25,360
Speaker 1: on dishonest testimony from an Ecuadorian judge who had his family.

1740
01:31:25,439 --> 01:31:29,840
Speaker 1: He and his family were relocated by Chevron and coached right. Yeah,

1741
01:31:30,200 --> 01:31:33,320
Speaker 1: brought to the US in exchange for lying. Katie, thank

1742
01:31:33,320 --> 01:31:36,400
Speaker 1: you for helping spear head this thing and making it happen.

1743
01:31:37,120 --> 01:31:39,160
Speaker 1: The response last night seemed to be really good. Thank

1744
01:31:39,200 --> 01:31:41,080
Speaker 1: you to all the guests that we had last night,

1745
01:31:41,080 --> 01:31:43,759
Speaker 1: and thank you to all of you guys for caring

1746
01:31:43,760 --> 01:31:46,200
Speaker 1: about this case because we've seen the interest from our

1747
01:31:46,200 --> 01:31:48,360
Speaker 1: audience as well. That's right. Thank you guys so much

1748
01:31:48,360 --> 01:31:50,360
Speaker 1: for watching. Really appreciate it. Of course you can support

1749
01:31:50,400 --> 01:31:52,920
Speaker 1: us premium links they're in the description. But it's enough

1750
01:31:52,960 --> 01:31:54,760
Speaker 1: about that and we will see you all next week.

1751
01:31:54,880 --> 01:32:10,439
Speaker 1: Have a good one, guys,