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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: We took a big risk going independent to make this work.

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Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC.

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Speaker 1: They are ripping this country apart. They are making millions

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Speaker 1: of dollars doing it to help support our mission of

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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 well. If

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Speaker 1: you are not living under a rock, you may know

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Speaker 1: that it is the one year anniversary of the January

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Speaker 1: sixth insurrection or whatever you want to call what happened

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Speaker 1: on that day. I know it's very controversial the labeling

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Speaker 1: of it, so we have our own breaking points. Look

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Speaker 1: at what led us to that, what has changed, if anything,

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Speaker 1: going forward, how the media has handled it. And also

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Speaker 1: some numbers today that I think are really relevant to

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Speaker 1: the conversation. We just got new jobs numbers that show

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Speaker 1: pretty good job creation, also show mass resignations continuing at

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Speaker 1: historic levels, so everything very much influx. There also some

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Speaker 1: additional news with regards to Omicron and some very disturbing

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Speaker 1: decision making that is happening out there in the world.

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Speaker 1: And this may be my own personal bias, but having

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Speaker 1: suffered in some very small ways during Snowstarre Virginia, we're

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Speaker 1: going to take a look at the horrendous treatment of

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Speaker 1: all of those people who were trapped on ninety five

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Speaker 1: for more than a day. The governor is now basically

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Speaker 1: blaming them. Yeah, he's blaming the drivers, completely shirking any

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Speaker 1: sort of responsibility for what was an absolutely dehumanizing, dangerous situation.

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Speaker 1: So I have to give you those details here. Also,

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Speaker 1: we have Glenn Greenwold on to help us understand what

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Speaker 1: some of the more dangerous implications of the way that

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Speaker 1: one six could be weaponized to further strengthen the deep state.

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Speaker 1: Always great to talk to, Glenn, and we did want

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Speaker 1: to start with some of our reflections on January sixth,

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Speaker 1: And basically what we wanted to talk about here at

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Speaker 1: the top is has anything changed the metrics, the underlying

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Speaker 1: metrics that led us to a day that both of

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Speaker 1: us considered to be terrible. This was a horrible day

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Speaker 1: for the country. And obviously the individuals who were involved

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Speaker 1: had agency and what they decided to do in the

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Speaker 1: crimes that they decided to commit, and the president was

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Speaker 1: the most proximate cause of the events of that day.

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Speaker 1: But in addition, there are a lot of underlying social factors,

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Speaker 1: the types of things that we talk about here on

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Speaker 1: this show all the time that contributed to creating such

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Speaker 1: a horrendous, inflammatory situation that people, under false pretenses would

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Speaker 1: think that they were acting patriotically to storm into the

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Speaker 1: Capitol and try to subvert an election. I mean, that's

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Speaker 1: that's the reality. So where are we now as compared

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Speaker 1: to a year ago? And we have to say on

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Speaker 1: most of the metrics, things have actually gotten worse, way worse.

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Speaker 1: So the core rot that has led I think everyone

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Speaker 1: would agree as to such a dangerous place as the

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Speaker 1: country has in many ways gotten worse. So the first

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Speaker 1: thing we wanted to put up here to demonstrate that

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Speaker 1: fact is there's a new poll. This is from the

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Speaker 1: Washington Post University of Maryland. One in three Americans say

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Speaker 1: violence against government can be justified. Citing a variety of

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Speaker 1: corruption was one of the things authoritarianism, fascism, all sorts

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Speaker 1: of different reasons why people across the spectrum are saying, hey,

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Speaker 1: in certain circumstances, violence might be justified. These numbers are

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Speaker 1: the worst, the largest numbers ever recorded on this metric.

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Speaker 1: When you dig into it, it's pretty revealing what people

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Speaker 1: are saying. There was a quote from a woman, a

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Speaker 1: mother thirty two years old who's a Republican. She says,

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Speaker 1: the world we live in now is scary. I don't

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Speaker 1: want to sound like a conspiracy theorist, but sometimes it

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Speaker 1: feels like a movie. It's no longer a war against

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Speaker 1: Democrats and Republicans. It's a war between good and evil.

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Speaker 1: And when you get into that type of binary good

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Speaker 1: versus evil language. Oh good, Yeah, that ends up justifying

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Speaker 1: a lot of things that can lead to catastrophic and

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Speaker 1: horrible consequences. There was, you know, there was a rise

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Speaker 1: in the numbers across partisan lines. Independence actually had the

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Speaker 1: highest numbers on the symmetric forty one percent of Independence

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Speaker 1: and violence against government can sometimes be justified twenty three

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Speaker 1: percent of Dems and forty percent of Republican Party. I

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Speaker 1: want to say I feel a little bit complicated about

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Speaker 1: this one, soccer, because I mean, the nation was founded

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Speaker 1: in violence. Obviously, if you have truly a tyrannical, oppressive,

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Speaker 1: authoritarian government, then in some circumstances, violence can be justified. However,

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Speaker 1: we are nowhere near that place, I hope, and the

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Speaker 1: fact that you have so many more Americans feeling like,

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Speaker 1: well we might be getting there is a very very

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Speaker 1: worrying sign. And the sort of binary of good versus

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Speaker 1: evil narrative that has taken hold in corners across the

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Speaker 1: political spectrum is a really dangerous place for the country today.

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Speaker 1: It's just a complete lack of faith in all of

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Speaker 1: our institutions, and at this point, anybody who defends the institutions,

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Speaker 1: in my opinion, is kind of an idiot. I mean

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Speaker 1: I was thinking about it today. There was some discourse

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Speaker 1: online talking about whether school closures amount to as bad

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Speaker 1: of a situation as the war in Iraq. I think that's, oh,

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Speaker 1: my god, of an overstretch. But I always try to

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Speaker 1: think about it, and I was like, well, okay, well,

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Speaker 1: where is this person coming from, Like, what exactly is it?

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Speaker 1: Which is that you have an institutional state and a

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Speaker 1: media which push a line which becomes completely obviously a

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Speaker 1: terrible decision, yeah, which continues to be perpetuated, and then

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Speaker 1: two years later, a very very small group is allowed

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Speaker 1: to criticize it a little bit, and it gets to

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Speaker 1: the point where it becomes self sustaining, such that now

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Speaker 1: the president of the United States, the leader of the

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Speaker 1: Democratic Party, Joe Biden, says, I don't think school closures

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Speaker 1: are a good idea. And right now today one third

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Speaker 1: of the children in the state of New Jersey are

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Speaker 1: not in school. Okay, that's like hundreds of thousands of kids.

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Speaker 1: So when you start to think about it that way,

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Speaker 1: I think, hmm, you know what, that's not a terrible point.

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Speaker 1: The point is is that we have government which makes

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Speaker 1: terrible decisions consistently. We try to have democratic elections of change.

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Speaker 1: Every single election since two barring two thousand and four,

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Speaker 1: which was just such an anomaly because of nine to eleven.

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Speaker 1: We have had a desperate want of change, and every

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Speaker 1: single time we've been denied that over and over again

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Speaker 1: from institutional corruption. And that is what led to the

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Speaker 1: fact that these people, mostly Boomers, had so much faith

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Speaker 1: in a guy in a charlatan like Donald Trump. I mean,

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Speaker 1: we have a graph here which to put on the screen, please,

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Speaker 1: which is Republican loyalty to Trump post January sixth. Check

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Speaker 1: this out. Trump his general loyalty remained above seventy five

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Speaker 1: percent the entire time, like pre and post. His post

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Speaker 1: suffering was like marginal at best. But look at Mike

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Speaker 1: Pence and especially Mitch McConnell. Mitch mccon dropped from fifty

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Speaker 1: in terms of his loyalty to in the minus thirty

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Speaker 1: five range. The reason I think about that is that

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Speaker 1: the people who are in charge of Republican institutions do

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Speaker 1: not represent Republican voters. Many Democratic leaders Nancy Pelosi does

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Speaker 1: not represent the mean Democratic voter. When you have that

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Speaker 1: type of situation, what are people supposed to feel they

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Speaker 1: turn to Trump and he tells them to storm the

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Speaker 1: Capitol and they do so. I know they have agency.

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Speaker 1: But I will always think about that pro public apiece

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Speaker 1: that was published right afterwards, where it was this guy.

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Speaker 1: He lived in Alabama, he was part of a union.

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Speaker 1: He lost his job post financial crisis, and he went

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Speaker 1: kind of nuts and he started to believe it. He

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Speaker 1: voted for Obama in Alabama a union member, and then

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Speaker 1: ended up going all in on Trump. He died on

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Speaker 1: January sixth from I shouldn't be laughing from a heart

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Speaker 1: attack because it was like one of the most exciting

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Speaker 1: days of his lives. But that's something that you have

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Speaker 1: to think about. And you know they're all citizens. They

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Speaker 1: get votes too. I'm not saying what they did was

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Speaker 1: a good thing, but you got to try and understand

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Speaker 1: why did this happen. Explain that number, Look at the number.

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Speaker 1: Explain it to me. The only way is through the polls.

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Speaker 1: Thinking back their institutional failure. Two thousand and eight, I

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Speaker 1: loses his job union. I mean, there's no other explanation. Well,

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Speaker 1: and here's the thing is, when you feel like legitimate avenues,

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Speaker 1: like the official channels of political change have effectively been

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Speaker 1: shut off, Yeah, that's when these sorts of very troubling

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Speaker 1: metrics start to rise because people think, well, what else

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Speaker 1: can we do? And so that total lack of faith

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Speaker 1: and institution, that total lack of belief that anything you

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Speaker 1: do at the ballot box is going to make a

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Speaker 1: lick of difference, that's how you end up in a

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Speaker 1: place like this. I've actually been Kyle and I are

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Speaker 1: interviewing Jordan Peterson next week, so I've been reading a

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Speaker 1: lot of Jordan Peterson Leyley. There's one thing that he said.

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Speaker 1: He's not my favorite on everything, but there was one

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Speaker 1: thing that he said that I thought was really interesting,

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Speaker 1: which is that when you don't have this sort of

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Speaker 1: like value system in place, people either fall into nihilism

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Speaker 1: or they get you know, subsumed by an ideology and

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Speaker 1: can be preyed upon. This is a little bit of

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Speaker 1: my take on it, not exactly his, but can be

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Speaker 1: preyed upon by people like Trump, by these sort of

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Speaker 1: like charismatic leaders where you become so and you're so

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Speaker 1: desperate for some kind of value system that makes sense.

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Speaker 1: It makes you vulnerable to you know, whatever charismatic figure

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Speaker 1: happens to come along, and so on. That metric, things

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Speaker 1: have certainly not gotten better, and there's you know, a

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Speaker 1: lot more core raw just evidence of the you know,

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Speaker 1: symptoms of decline and despair in this country. We can

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Speaker 1: throw the next one up on the screen, which is that,

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Speaker 1: you know, an increasing number of Americans say they're actually

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Speaker 1: worse off financially this year than last year, somewhat worse

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Speaker 1: off or much worse off, the largest share since the

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Speaker 1: pandemic when we were in total free fall. Okay, so

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Speaker 1: you know, I mean this makes sense too. You had

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Speaker 1: some relief checks that went out, you had unemployment, you

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Speaker 1: had some programs that were helping bolster people, helping you know,

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Speaker 1: keep some money in their savings accounts, keep them going,

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Speaker 1: bills paid. All of that has been spent down over

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Speaker 1: the past year, and all of those programs and supports

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Speaker 1: have been pulled. At the same time, you have inflation. Yeah,

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Speaker 1: you have wages going up, but you have inflation eating

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Speaker 1: into that and then plus some so if finances, which

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Speaker 1: I mean, if you look throughund history economics, contributes to

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Speaker 1: a lot of social turmoil to the extent that's a

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Speaker 1: factor here, which I think it is things are getting worse.

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Speaker 1: You also have on metrics you know, of despair, overdoses

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Speaker 1: reaching new heights over the past year and over the

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Speaker 1: past couple of years. Let's throw this next tear sheet

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Speaker 1: up there on the screen. More than a million, more

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Speaker 1: than a million Americans have died from overdoses during the

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Speaker 1: opioid epidemics. So that's from ninety nine till today. We've

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Speaker 1: also tracked how for some demographics, overdose deaths are now

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Speaker 1: the leading cause of death. The number spikes significantly during

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Speaker 1: the pandemic. You know, we'll be learning over the coming

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Speaker 1: months what that looked like in the year that just ended.

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Speaker 1: Inequality celebrated by the pandemic. Let's put the next one

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Speaker 1: there up on the screen. The share of wealth held

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Speaker 1: by a ten percent of the world's richest hit historic

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Speaker 1: levels amid the pandemic. So part of what was going

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Speaker 1: on is, yeah, I mean, listen, the oligarchs of the

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Speaker 1: nation and of the world, they're always in position to

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Speaker 1: profit off of crisis. I mean every single time, whether

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Speaker 1: it's war or climate change or a pandemic, they're the

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Speaker 1: ones who are in position to profit off of that.

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Speaker 1: And then you had the response for the stock market was,

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Speaker 1: you know, trillions of dollars to prop up what ends

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Speaker 1: up being the top percentage points, mostly of Americans. And

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Speaker 1: while there was support that was pretty effective, ultimately that

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Speaker 1: was given to regular people. I mean, it came nowhere

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Speaker 1: close to what was being pumped out by the FED,

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Speaker 1: which again widens inequality. And you know, outside of it

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Speaker 1: being a measure of fairness, when you have system that

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Speaker 1: is so dramatically unbalanced, that also contributes to social instability

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Speaker 1: because you lose that sense that this is just or

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Speaker 1: fair at all. And when you lose that buy in

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Speaker 1: in society. I mean again, history is literate examples of

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Speaker 1: revolutions that are sparked and pitchforks that come when that

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Speaker 1: situation is exacerbated. So yet another trend that was accelerated

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Speaker 1: by the pandemic, making things even worse than they were

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Speaker 1: at this time last year. In a lot of senses.

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Speaker 1: Something Andrew Yang said during his campaign, which always resonated

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Speaker 1: with me, is that there's only one There's like, the

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Speaker 1: most stark metric is are people living or dying? And well,

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Speaker 1: we have the data now for twenty twenty one, let's

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Speaker 1: put it up there on the screen. The US population

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Speaker 1: growth has stalled to the lowest record lowest rate on

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Speaker 1: record thanks to the pandemic, even slower than during the

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Speaker 1: Great Depression. Now you may think that this is because

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Speaker 1: of increased pandemic deaths, but it's actually not. It's because

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Speaker 1: of lower birth rates, lower rates of migration, and yes,

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Speaker 1: an increase in mortality, but the all cause mortality there

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Speaker 1: COVID is only part of it, given that that was

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Speaker 1: disproportionately amongst the elderly. We just pointed out record amounts

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Speaker 1: of deaths eighteen to forty five from fentanyl, which is

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Speaker 1: now the leading cause of death amongst that demographic. One

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Speaker 1: million Americans died from opioids, and if you look at

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Speaker 1: it regionally, it's actually even worse. So if the twenty

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Speaker 1: ten to twenty twenty, fifty percent of the counties in

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Speaker 1: the United States lost population fifty percent. We are increasingly

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Speaker 1: getting divided by education class, and the people who are

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Speaker 1: lower middle class and working class who are moving out

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Speaker 1: are generally living in the berb areas, communing in in

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Speaker 1: order to serve the most wealthy as they continue to

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Speaker 1: get richer and richer. Think like uber eats drivers that

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Speaker 1: type of thing. The service economy of the rich is

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Speaker 1: actually one of the most growing sectors. I remember once

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Speaker 1: some neoliberals we're cheering the fact that the most highest

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Speaker 1: growing types of jobs are like personal trainers, uh, nail

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Speaker 1: technicians uh, and something else. I think delivery drivers was

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Speaker 1: another one, And once I was like, look, there's nothing, zero,

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Speaker 1: nothing wrong with those professions whatsoever. But like all of

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Speaker 1: those are just basically trickle down effects of like people

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Speaker 1: who are really rich, Yeah, who can afford to outsource

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Speaker 1: you know, beautician aesthetics, right, all that type of thing,

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Speaker 1: do it? I mean, unless you're one of these like

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Speaker 1: superstar soul cycle type personal trainers, it's I'm sure very

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Speaker 1: so you probably don't make that much. Yeah, you're you know,

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Speaker 1: you're certainly don't have a union, you probably don't have benefits,

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Speaker 1: and many of these jobs you're you know, don't. I've

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Speaker 1: talked to someone. You're basically a gig worker, an independent

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Speaker 1: contractor with no protection of the labor market. Yeah, that

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Speaker 1: is what our economy is spinning out as these very precarious,

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Speaker 1: low wage, low benefit type of jobs. We do have

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Speaker 1: a little bit. I mean, we're going to talk about

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Speaker 1: the Great resignation. So there are some hopeful things I

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Speaker 1: don't want to be all gloom and doom here. But

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Speaker 1: we have to take stock, as you know, we enter

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Speaker 1: twenty twenty two here and a year ount from one

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Speaker 1: to six. The easy thing is to look at, you know,

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Speaker 1: the individuals who are specifically involved, and listen, there are

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Speaker 1: millions and millions of people in the country who have

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Speaker 1: suffered who did not storm the Capitol. So again, there

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Speaker 1: is personal agency involved here, both in people's choices that

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Speaker 1: day and also their own choices to allow themselves to

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Speaker 1: get sucked into these sort of conspiracy theories that led

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Speaker 1: them to take that action that day and really think

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Speaker 1: they were like doing the right thing as patriots. The

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Speaker 1: other easy thing is just to you know, say, oh, well,

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Speaker 1: though it's just the Republican Party and Donald Trump that

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Speaker 1: is bad. All of that is fine and true, but

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Speaker 1: it doesn't solve the problem. To just say, oh, well,

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Speaker 1: you know, this percentage of the country is bad, and

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Speaker 1: so what can we do about it? I can already

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Speaker 1: hear the naysayer, is economic anxiety, you know, disproving again, Okay, look,

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Speaker 1: I mean you have it's a general social pathology that

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Speaker 1: you understand in every other society except America, for so, yeah,

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Speaker 1: that's right, you know, It's like you can look at

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Speaker 1: Egypt and be like, well, high youth unemployment, you know this,

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Speaker 1: this and this leads to the conditions of ever revolution.

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Speaker 1: Well you've got a youth bulge here in this country,

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Speaker 1: Greece or whatever. Spain is another one. But then you know,

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Speaker 1: you can't turn a real honest side your own country.

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Speaker 1: It's the same thing. That's exactly what's happening here. And

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Speaker 1: I think about it kind of like a statistical distribution,

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Speaker 1: which is that if the statistical distribution is going to

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Speaker 1: be high of the amount of wealth, inequality and the

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Speaker 1: you know, the normal distribution so to speak, yeah, most

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Speaker 1: people are going to be like generally miserable. But what

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Speaker 1: is part of that, which is that on the tail

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Speaker 1: ends you have the extremities. And what you want to

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Speaker 1: do is move the distribution over so that the extremity

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Speaker 1: becomes smaller and smaller. And unfortunately, we continue to slide

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Speaker 1: towards a point where the median point for most Americans

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Speaker 1: is that they are underpaid, They're blown tire away from bankruptcy.

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Speaker 1: They feel as if the next year is going to

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Speaker 1: be worse than this year. And you know, we didn't

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Speaker 1: even mention COVID policy restriction, and anxiety, gas prices, all

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Speaker 1: of that feeding in it's not a good time to

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Speaker 1: be an American right now. That has downstream effects on

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Speaker 1: our democracy and as outside effects in the extreme events

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Speaker 1: that you're going to see in terms of politics. So,

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Speaker 1: if you want to know why democracy is in cristis,

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Speaker 1: if it even is, this is why you're not going

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Speaker 1: to hear any of this on that. Yeah, I would

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Speaker 1: say that it definitely is. I mean, when you see

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Speaker 1: this level of number of people who are, you know,

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Speaker 1: contemplating the possible what could possibly lead them to justifying

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Speaker 1: violence against the government, when you have such low trust

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Speaker 1: in institutions, when you have so many people. First, I mean, listen,

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Speaker 1: let's be honest to Democrats question the legitiacy of Trump's

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Speaker 1: election and spun up a whole fantasy about Russia Gate

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Speaker 1: to justify why they lost an election that a lot

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Speaker 1: of you know, a lot of the country believed and

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Speaker 1: continues to believe, by the way. And then you have

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Speaker 1: Republicans who just invented the most insane shit you've ever

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Speaker 1: heard to imagine that their side didn't lose. When you

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Speaker 1: get into this, nobody is believing in you know, the

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Speaker 1: sanctity of the election, they're not buying into the results. Yeah,

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Speaker 1: I would say democracy is in trouble. The last thing

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Speaker 1: that I'll throw in here, and I was thinking about

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Speaker 1: it because we're both I think listening to Joe Rogan

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Speaker 1: with Oliver Stone yesterday, and I think he makes a

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Speaker 1: good point about how JFK's assassination and look, personally, I

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Speaker 1: think it was a cover up in the CIA was involved.

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Speaker 1: But whatever you think about that, the fact that there

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Speaker 1: was very clearly an effort to control the information that

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Speaker 1: was coming out, the fact that you still have such

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Speaker 1: a high percentage of Americans who do not believe the

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Speaker 1: official narrative on such a seminal event in American history,

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Speaker 1: that also serves as a kind of a spark of

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Speaker 1: a long term rat And when you see, certainly on

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Speaker 1: that metric as well, the continued power of the military

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Speaker 1: industrial complex, the continued power of the deep state, that's

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Speaker 1: another thing that really makes people cynical about their own government,

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Speaker 1: makes people suspicious of their own government, makes people not

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Speaker 1: trust their own government, and oftentimes for very good reasons.

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Speaker 1: So I think that's also a sort of factor you

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Speaker 1: have to throw in here. Is the lack of transparency

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Speaker 1: and the nefarious doings of our garment. You can look

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Speaker 1: to Julie Nissane and the war crimes that were revealed

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Speaker 1: in the Bush era. All of these things contribute to

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Speaker 1: a place where people just do not trust the official

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Speaker 1: narrative anyone. Yeah, you see the people in the media

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Speaker 1: of being like, why doesn't anybody trust the government? It's like, well,

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Speaker 1: there was let's start, you know, Okay, JFK's assassination. That

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Speaker 1: was crazy. Then Vietnam that was pretty crazy. Yeh. Then

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Speaker 1: uh what Watergate and already nuts. Yeah, Watergate was pretty nuts.

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Speaker 1: Then the Church Committee and you're like, oh my god,

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Speaker 1: like I can't believe all this stuff was happening, and

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Speaker 1: now here's all of the stuff where it gets outright admitted.

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Speaker 1: In the eighties were like okay, you know once or

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Speaker 1: there was like recession and all that stuff, and nineties

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Speaker 1: were probably the best Cold War, the funny business Old

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Speaker 1: War finally ended, and then you know, the dot com

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Speaker 1: stuff was pretty fun and then boom that, you know,

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Speaker 1: the crash of two thousand. Bush gets elected two thousand

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Speaker 1: and one, and then that's it. We're totally off to

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Speaker 1: the races. So you have the interregnum period of like

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Speaker 1: the Watergate, where you really destroyed what once people used

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Speaker 1: to think when the president spoke it was the truth.

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Speaker 1: I mean, this was a thing under Kennedy and Eisenhower

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Speaker 1: which you cannot even fathom today. But when you read

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Speaker 1: about it, the level of trust between the American government

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Speaker 1: and the president post World War two is unbelievable. And

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Speaker 1: you know, under Johnson the term credibility gap gets coined,

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Speaker 1: and from that point onward, distrust in the government becomes

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Speaker 1: a mainstream thought of American society. It never existed, or

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Speaker 1: at least you know, since like the Civil War times,

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Speaker 1: that's not something you can just get back. And then

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Speaker 1: you have a RAQ and the financial crisis. People in

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Speaker 1: my age are like forget it. You know, my default

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Speaker 1: assumption when they say something, especially on COVID, is I

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Speaker 1: don't believe you. You know it, prove it to me,

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Speaker 1: or I have to go and see it with my

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Speaker 1: own eyes for me to be like, okay, this is

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Speaker 1: a real thing. That's not a healthy way. But once again,

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Speaker 1: you know, you ask questions, why is democracy and crisis?

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Speaker 1: This is why? Yeah, that's the only reason, indeed, Okay,

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Speaker 1: And how has the media been well, how how exactly

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Speaker 1: were you stay in media handling themselves from this. I'll

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Speaker 1: say this at the top. I think it was probably

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Speaker 1: pretty scary to be in the cap on January sixth.

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Speaker 1: I personally think if I was a represent this is

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Speaker 1: one of the reasons why I have those pissed people

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Speaker 1: off before we even play the clip. I actually was

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Speaker 1: kind of sympathetic when AOC was really seeming to have

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Speaker 1: like an episode around post January six because I'm like, hey, look,

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Speaker 1: if I was her and I got, you know, cornered

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Speaker 1: by some of these people without security, I'd be pretty scared.

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Speaker 1: I think it actually would be scary. And I say

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Speaker 1: this is any of those types of Nancy Pelosi, any

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Speaker 1: of these people, given the people that were inside the

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Speaker 1: Capitol and lack of security, and they are very hated

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Speaker 1: and it only takes one person for things to jump off.

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Speaker 1: We've seen that in a lot of variety of situations.

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Speaker 1: If I was a Jim Accostia in the capital that day, yeah,

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Speaker 1: you know, I'd probably be pretty scared. But a lot

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Speaker 1: of the reporters that were there that day are making

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Speaker 1: this all about themselves and are acting as if they

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Speaker 1: were serving in a war zone, which is just simply

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Speaker 1: not true. I think it's analogous to being in a

430
00:23:06,359 --> 00:23:09,080
Speaker 1: place where a terrible event happened, but they are now

431
00:23:09,080 --> 00:23:12,000
Speaker 1: trying to make the event all about themselves, and worse,

432
00:23:12,160 --> 00:23:14,920
Speaker 1: are using it as an excuse for why they don't

433
00:23:14,920 --> 00:23:18,560
Speaker 1: have to then cover the Republican Party fairly. We have

434
00:23:18,680 --> 00:23:22,080
Speaker 1: kind of a perfect clip from reliable sources CNN's Bride

435
00:23:22,160 --> 00:23:25,000
Speaker 1: Shelter this show over the weekend, where when you listen

436
00:23:25,000 --> 00:23:27,919
Speaker 1: to these people, it's literally like they were deployed in

437
00:23:27,960 --> 00:23:30,000
Speaker 1: a war zone. Let's take a listen. I know this

438
00:23:30,040 --> 00:23:32,080
Speaker 1: for myself, but in talking you know, there's a bit

439
00:23:32,080 --> 00:23:35,119
Speaker 1: of an informal network of reporters who've been through it

440
00:23:35,160 --> 00:23:37,919
Speaker 1: that day and are still coping with that, who are

441
00:23:38,000 --> 00:23:40,399
Speaker 1: leaning on each other and talking to each other. I

442
00:23:40,400 --> 00:23:43,000
Speaker 1: also talk to members of Congress, their staffs, and law

443
00:23:43,080 --> 00:23:47,040
Speaker 1: enforcement members of the Capitol Police, and we're all still

444
00:23:47,080 --> 00:23:49,520
Speaker 1: dealing with that and feeling like we need to convey

445
00:23:49,560 --> 00:23:52,960
Speaker 1: to others how serious it was. I mean, just one example,

446
00:23:53,200 --> 00:23:55,880
Speaker 1: there are still members of the US Capitol Police out

447
00:23:55,880 --> 00:23:59,880
Speaker 1: with injuries that they suffered that day from a year ago. Wow.

448
00:24:00,480 --> 00:24:03,119
Speaker 1: And some journalists have been candidate about PTSD and trauma.

449
00:24:03,119 --> 00:24:05,119
Speaker 1: We're going to get into that, but on the topic

450
00:24:05,160 --> 00:24:08,280
Speaker 1: of that day and the cell service and the lack

451
00:24:08,320 --> 00:24:10,439
Speaker 1: of full awareness, I think it's really important to remember

452
00:24:10,720 --> 00:24:13,119
Speaker 1: it didn't look as bad on TV as it actually was,

453
00:24:13,359 --> 00:24:15,480
Speaker 1: and that's not the fault of any television network or

454
00:24:15,480 --> 00:24:18,240
Speaker 1: any producer or anything. It's just most of the live

455
00:24:18,280 --> 00:24:21,640
Speaker 1: shots were from far away. We didn't see inside the capitol,

456
00:24:21,640 --> 00:24:25,440
Speaker 1: the horrible violence, the attacks against police. There were only

457
00:24:25,480 --> 00:24:27,720
Speaker 1: a few of those videos that came out during the day.

458
00:24:28,080 --> 00:24:33,159
Speaker 1: It took several days to reckon with just how violent

459
00:24:33,240 --> 00:24:35,680
Speaker 1: this was, and then several weeks to learn about the

460
00:24:35,720 --> 00:24:38,200
Speaker 1: security failures and all the rest. So in other words,

461
00:24:38,440 --> 00:24:40,840
Speaker 1: it was worse than it looked on live TV. And

462
00:24:40,880 --> 00:24:42,640
Speaker 1: that's why people like you have been happening to tell

463
00:24:42,680 --> 00:24:45,840
Speaker 1: people what really happened. I mean, one hallmark of post

464
00:24:45,880 --> 00:24:49,600
Speaker 1: traumatic stress disorder is sort of having flashbacks and almost

465
00:24:49,640 --> 00:24:53,560
Speaker 1: eerily clear memories. And for me, the single one that

466
00:24:53,640 --> 00:24:55,960
Speaker 1: really haunts me is this moment when I was on

467
00:24:56,000 --> 00:24:59,959
Speaker 1: the phone with my editor. Look, I mean, once again,

468
00:25:00,000 --> 00:25:02,520
Speaker 1: and it was probably scary, but they are making this

469
00:25:02,640 --> 00:25:05,960
Speaker 1: all about themselves, and that's the problem. Here. And you

470
00:25:06,000 --> 00:25:08,280
Speaker 1: know the other thing I keep thinking about when things

471
00:25:08,320 --> 00:25:10,960
Speaker 1: are really crazy, you don't have to tell a damn

472
00:25:11,000 --> 00:25:14,000
Speaker 1: person nine to eleven. You didn't have to be on

473
00:25:14,080 --> 00:25:16,960
Speaker 1: nine to eleven to be like, oh my god. You

474
00:25:17,000 --> 00:25:19,600
Speaker 1: didn't have to be in Afghanistan to say, man, this

475
00:25:19,680 --> 00:25:22,320
Speaker 1: is a real shit show. You did not have to

476
00:25:22,359 --> 00:25:25,639
Speaker 1: be on the ground at an event in order to

477
00:25:25,840 --> 00:25:29,720
Speaker 1: internalize what exactly it means. The problem and reason that

478
00:25:29,720 --> 00:25:32,040
Speaker 1: they're doing this is because they don't feel that people

479
00:25:32,119 --> 00:25:35,520
Speaker 1: are outraged enough, and it's because people are able to

480
00:25:35,520 --> 00:25:38,119
Speaker 1: put things in context. Something that can happen can be

481
00:25:38,200 --> 00:25:41,040
Speaker 1: absolutely terrible. We can all also feel very bad for

482
00:25:41,080 --> 00:25:42,880
Speaker 1: a lot of the people who were there and who

483
00:25:42,880 --> 00:25:46,399
Speaker 1: are suffering, you know, as a result or made it

484
00:25:46,440 --> 00:25:48,960
Speaker 1: as an experience, it was very difficult to process. But

485
00:25:49,000 --> 00:25:51,359
Speaker 1: I cannot tell you the narcissism that I continue to

486
00:25:51,400 --> 00:25:54,720
Speaker 1: see from these people because they use their own personal

487
00:25:54,800 --> 00:25:59,119
Speaker 1: experience to say, why is national policy thus not moving

488
00:25:59,119 --> 00:26:01,800
Speaker 1: in the direction that I wanted to move? And that's

489
00:26:01,840 --> 00:26:05,560
Speaker 1: where you know, that is where you actually violate the

490
00:26:05,600 --> 00:26:08,919
Speaker 1: central proponent of being a journalist whenever you use that

491
00:26:09,240 --> 00:26:11,960
Speaker 1: in order to talk about and try and move coverage

492
00:26:12,200 --> 00:26:14,320
Speaker 1: and take the populace and try to shake them and

493
00:26:14,359 --> 00:26:17,720
Speaker 1: say you should care about this. That is not your job.

494
00:26:17,800 --> 00:26:19,720
Speaker 1: It is absolutely not your job. Your job is to

495
00:26:19,720 --> 00:26:22,720
Speaker 1: tell people about what happened. They can make up their

496
00:26:22,760 --> 00:26:25,480
Speaker 1: minds for themselves. Try to do that here every day.

497
00:26:25,600 --> 00:26:27,720
Speaker 1: I just I don't know why it's so difficult. There's

498
00:26:27,800 --> 00:26:32,359
Speaker 1: also I echo your sentiments that I have no doubt

499
00:26:32,359 --> 00:26:34,400
Speaker 1: if I was in the capital that day, I would

500
00:26:34,400 --> 00:26:36,280
Speaker 1: have been very scared that it would have been a

501
00:26:36,359 --> 00:26:40,360
Speaker 1: terrifying situation, that it was in fact a vollatle dangerous situation.

502
00:26:40,760 --> 00:26:45,520
Speaker 1: That we're lucky that there weren't more injuries and fatalities

503
00:26:45,640 --> 00:26:50,480
Speaker 1: ultimately on that day. But we also have to acknowledge

504
00:26:50,640 --> 00:26:53,159
Speaker 1: that one six was the last time that any of

505
00:26:53,200 --> 00:26:58,560
Speaker 1: these people got decent ratings, and so listen, I'm sure

506
00:26:58,560 --> 00:27:01,760
Speaker 1: it was a seminal event for them personally. And it

507
00:27:01,880 --> 00:27:06,520
Speaker 1: also happens to coincide covering this relentlessly and having this

508
00:27:06,880 --> 00:27:09,000
Speaker 1: sort of putting themselves at the center of the story,

509
00:27:09,080 --> 00:27:12,960
Speaker 1: which is a sort of a vanity move. There's a

510
00:27:13,000 --> 00:27:17,359
Speaker 1: financial incentive there too. I mean, all of these companies,

511
00:27:17,400 --> 00:27:21,600
Speaker 1: all of these cable news channels, including Fox News, all

512
00:27:21,680 --> 00:27:27,080
Speaker 1: of the major news outlets, they've had a precipitous decline

513
00:27:27,320 --> 00:27:35,240
Speaker 1: in clicks and subscribers and ratings, So that also helps

514
00:27:35,280 --> 00:27:38,159
Speaker 1: play into why they have focused on this because they

515
00:27:38,200 --> 00:27:41,320
Speaker 1: don't know what else to do to try to get

516
00:27:41,359 --> 00:27:44,359
Speaker 1: back some of the juice that they had during the

517
00:27:44,400 --> 00:27:49,560
Speaker 1: Trump era. And there's this bizarre disconnect between what cable

518
00:27:49,640 --> 00:27:54,320
Speaker 1: news has spent most of their time covering and what

519
00:27:54,600 --> 00:27:58,119
Speaker 1: the country actually cares about. And this is not just

520
00:27:58,200 --> 00:28:01,160
Speaker 1: about one six I mean, this was around the Trump presidency.

521
00:28:01,160 --> 00:28:03,960
Speaker 1: There were a million terrible things that this dude did

522
00:28:04,000 --> 00:28:08,760
Speaker 1: that deserve coverage and deserved explanation and deserved criticism. But

523
00:28:08,840 --> 00:28:11,800
Speaker 1: they spent so much of their time on these invented

524
00:28:11,840 --> 00:28:16,399
Speaker 1: things like Russia Gate, that not only are they fabricated,

525
00:28:17,480 --> 00:28:21,760
Speaker 1: gigantic conspiracy theories, but they're also if you pull most

526
00:28:21,760 --> 00:28:25,000
Speaker 1: of the country, they're like, this is not what is

527
00:28:25,080 --> 00:28:28,119
Speaker 1: driving my day to day concerns. So you're just making

528
00:28:28,160 --> 00:28:31,280
Speaker 1: yourself it's this sort of very elite conversation and you're

529
00:28:31,320 --> 00:28:34,720
Speaker 1: putting yourself at a distance from the actual concerns of

530
00:28:34,760 --> 00:28:39,120
Speaker 1: the population. It's much harder, though, and much more uncomfortable

531
00:28:39,160 --> 00:28:42,360
Speaker 1: for them to dig in to some of those underlying

532
00:28:42,680 --> 00:28:45,680
Speaker 1: causes that we talk about here. Why, well, it's not

533
00:28:45,720 --> 00:28:50,800
Speaker 1: an easy partisan narrative, and there are people to blame

534
00:28:51,320 --> 00:28:55,480
Speaker 1: and institutions to blame all the way around. And so

535
00:28:55,680 --> 00:28:58,400
Speaker 1: if they're concerned about their access and being a good

536
00:28:58,400 --> 00:29:01,080
Speaker 1: standing member of whatever tea even club that they're a

537
00:29:01,120 --> 00:29:04,080
Speaker 1: part of, then it becomes very uncomfortable to talk about

538
00:29:04,080 --> 00:29:05,840
Speaker 1: those So what do you fall back on. You fall

539
00:29:05,920 --> 00:29:08,320
Speaker 1: back on these types of segment of very shell analysis,

540
00:29:08,320 --> 00:29:12,200
Speaker 1: which ultimately, look, they want to probably spin it into

541
00:29:12,640 --> 00:29:15,360
Speaker 1: something about attack on free price attack in journals, but

542
00:29:15,560 --> 00:29:17,680
Speaker 1: nice people have any credibility on that when they have

543
00:29:17,760 --> 00:29:20,320
Speaker 1: nothing to say about join us on just continued prosecution.

544
00:29:20,480 --> 00:29:23,160
Speaker 1: So that's the bottom line too. Once again, the reason

545
00:29:23,200 --> 00:29:26,320
Speaker 1: why they care so much about Marjorie Taylor Green and

546
00:29:26,480 --> 00:29:30,080
Speaker 1: January sixth and the January sixth Select Committee and Steve

547
00:29:30,160 --> 00:29:32,880
Speaker 1: Bannon is because that's the last thing that rated for them.

548
00:29:33,120 --> 00:29:35,719
Speaker 1: They are suffering, and that is why the New York

549
00:29:35,800 --> 00:29:38,680
Speaker 1: Times and CNN Washington Posts, all these people, in addition

550
00:29:38,720 --> 00:29:41,120
Speaker 1: to the personal experience that they have, have a financial

551
00:29:41,120 --> 00:29:44,360
Speaker 1: incentive and really a relevancy incentive in order to keep

552
00:29:44,360 --> 00:29:48,160
Speaker 1: pushing it, which leads to idiotic editorials like this again

553
00:29:48,400 --> 00:29:51,320
Speaker 1: not cherry picking. This is straight up from the editorial board.

554
00:29:51,600 --> 00:29:55,040
Speaker 1: Every day is January six now, and the substance of

555
00:29:55,080 --> 00:29:59,280
Speaker 1: it is, Oh, the Republican Party truly bankrupt and focusing

556
00:29:59,320 --> 00:30:01,200
Speaker 1: on this. I even probably agree, you know, with some

557
00:30:01,240 --> 00:30:04,760
Speaker 1: of these underlying sentiments. But at the same time, all

558
00:30:04,800 --> 00:30:09,640
Speaker 1: it is is trying to a delegitimize, you know, another

559
00:30:09,880 --> 00:30:14,840
Speaker 1: political party. But really it's about narcissism and ultimately about

560
00:30:14,840 --> 00:30:17,600
Speaker 1: trying to drive clicks. And this is how it's working

561
00:30:17,640 --> 00:30:19,200
Speaker 1: out for them. Put it up there on the screen.

562
00:30:19,240 --> 00:30:23,920
Speaker 1: Please check out exactly how it's happening. Traditional media traffic

563
00:30:24,000 --> 00:30:26,240
Speaker 1: is down over the last twelve months. The New York

564
00:30:26,240 --> 00:30:29,920
Speaker 1: Times is down thirty four percent in traffic. The Washington

565
00:30:29,960 --> 00:30:34,000
Speaker 1: Post is down forty four percent in traffic. Network television

566
00:30:34,120 --> 00:30:38,479
Speaker 1: is down at CNN thirty eight percent, Fox thirty four percent,

567
00:30:38,560 --> 00:30:45,440
Speaker 1: and MSNBC twenty five percent. They are suffering existential crises

568
00:30:45,680 --> 00:30:48,400
Speaker 1: in the number of people who are tuning out. And

569
00:30:48,440 --> 00:30:51,120
Speaker 1: the reason why that their numbers were so high in

570
00:30:51,160 --> 00:30:54,920
Speaker 1: twenty twenty and or sorry in twenty nineteen, twenty and

571
00:30:54,960 --> 00:30:59,640
Speaker 1: twenty one and around that period was because people were

572
00:30:59,680 --> 00:31:02,040
Speaker 1: coming to them for real information. Do you remember those

573
00:31:02,080 --> 00:31:04,480
Speaker 1: COVID briefings. I had to watch them, I mean we

574
00:31:04,520 --> 00:31:06,360
Speaker 1: all did. I was like, well, especially because we were

575
00:31:06,400 --> 00:31:08,080
Speaker 1: doing the show and you know, would sit there. It

576
00:31:08,160 --> 00:31:11,840
Speaker 1: was glued to the television. Anytime there's chaos, you know,

577
00:31:12,040 --> 00:31:15,280
Speaker 1: this is whenever live TV is really the only valuable

578
00:31:15,280 --> 00:31:17,680
Speaker 1: product because they're on the ground, they can beam images.

579
00:31:17,720 --> 00:31:20,719
Speaker 1: You can see it exactly for yourselves. They love it.

580
00:31:20,760 --> 00:31:23,680
Speaker 1: Whenever there's stuff like Afghanistan, that was a bonanza for them.

581
00:31:23,880 --> 00:31:26,720
Speaker 1: I mean, once you start to understand it from that perspective,

582
00:31:27,000 --> 00:31:28,760
Speaker 1: you look and you see, well, maybe they want to

583
00:31:28,880 --> 00:31:31,920
Speaker 1: encourage these types of things, or they don't want to

584
00:31:31,920 --> 00:31:33,959
Speaker 1: get to the bottom of it in the sess because

585
00:31:34,120 --> 00:31:36,840
Speaker 1: they kind of wanted to keep happening, or they needed

586
00:31:36,920 --> 00:31:39,720
Speaker 1: to keep happening. All of this is a subconscious level.

587
00:31:39,760 --> 00:31:43,600
Speaker 1: It's not intentional, but the incentives and the personal experience

588
00:31:43,640 --> 00:31:46,280
Speaker 1: align such that a lot of people can look at

589
00:31:46,280 --> 00:31:48,040
Speaker 1: this and say, you people are not telling me the truth.

590
00:31:48,360 --> 00:31:51,280
Speaker 1: And I mean that's a very sad thing for the country,

591
00:31:51,280 --> 00:31:53,960
Speaker 1: and another reason why one might say our democracy is

592
00:31:53,960 --> 00:31:57,360
Speaker 1: in crisis. Trump and these people had a perfect symbiotic relationship,

593
00:31:57,720 --> 00:32:02,200
Speaker 1: perfect symbiotic relationship. You know, one of the most satisfying

594
00:32:02,280 --> 00:32:05,160
Speaker 1: things I think about Trump for people was how he

595
00:32:05,240 --> 00:32:08,440
Speaker 1: would just you know, totally vilify some of who are

596
00:32:08,880 --> 00:32:12,440
Speaker 1: the worst actors. He was disgusted. That was I was.

597
00:32:13,080 --> 00:32:16,280
Speaker 1: I enjoyed seeing that too, right, But you have to

598
00:32:16,280 --> 00:32:18,680
Speaker 1: grapple with the reality that he made them stronger and

599
00:32:18,720 --> 00:32:21,800
Speaker 1: got them famous and rich and book deals and ratings

600
00:32:21,800 --> 00:32:24,120
Speaker 1: through the roof and all that stuff. I mean, cable

601
00:32:24,160 --> 00:32:26,720
Speaker 1: news was struggling before he came along, and he'd like

602
00:32:26,800 --> 00:32:28,520
Speaker 1: plucked him right out of the grave and put him

603
00:32:28,560 --> 00:32:31,120
Speaker 1: back on top. And again a bunch of names that

604
00:32:31,240 --> 00:32:33,520
Speaker 1: you know, we'd never heard before. Adam Schiff, No, he

605
00:32:33,600 --> 00:32:37,000
Speaker 1: knew who Adam Shift, Eric swallwell, you know some of

606
00:32:37,040 --> 00:32:40,440
Speaker 1: these commentators, who Jim Acosta. People didn't know these names,

607
00:32:40,440 --> 00:32:44,640
Speaker 1: and they became like household names thanks to Trump. So, yeah,

608
00:32:44,720 --> 00:32:49,520
Speaker 1: it was a perfect symbiotic relationship. And you know, I'm

609
00:32:49,560 --> 00:32:53,720
Speaker 1: sure that secretly after Trump got elected there but what

610
00:32:53,840 --> 00:32:56,520
Speaker 1: was Zucker and a couple others who basically admitted, like, yeah,

611
00:32:56,560 --> 00:32:59,800
Speaker 1: this is great for us, ultimately love it and they

612
00:33:00,160 --> 00:33:03,280
Speaker 1: they need something like that back because right now they

613
00:33:03,400 --> 00:33:07,320
Speaker 1: basically have no reason to exist. So personally, I would

614
00:33:07,360 --> 00:33:11,600
Speaker 1: like them to continue to trend towards irrelevance. Talk Aboutuary

615
00:33:11,640 --> 00:33:15,200
Speaker 1: six and talk about January sixth and Marjorie Taylor Green

616
00:33:15,360 --> 00:33:17,360
Speaker 1: all you want, We'll be doing just fine in the

617
00:33:17,440 --> 00:33:22,920
Speaker 1: least substantive way, least useful, least actionable way. Josh Barrow

618
00:33:22,960 --> 00:33:25,760
Speaker 1: made this point, He's like, what's the point of these

619
00:33:26,000 --> 00:33:28,640
Speaker 1: of this commentary, Like, what's the point of all of

620
00:33:28,640 --> 00:33:30,840
Speaker 1: these columns in our What do you actually want people

621
00:33:30,920 --> 00:33:33,600
Speaker 1: to do? And that's the thing is, if ultimately the

622
00:33:33,640 --> 00:33:35,520
Speaker 1: answer is like what do we want people to do

623
00:33:35,600 --> 00:33:40,560
Speaker 1: about journalists, PTSD or whatever from that day, it's it

624
00:33:40,640 --> 00:33:43,520
Speaker 1: doesn't lead in any particular direction to move us in

625
00:33:43,560 --> 00:33:45,520
Speaker 1: a better place in the country, and ultimately that's what

626
00:33:45,560 --> 00:33:51,000
Speaker 1: we should all care about. We did have some promising

627
00:33:51,080 --> 00:33:53,480
Speaker 1: numbers that's kind of the flip side of the coin

628
00:33:53,640 --> 00:33:58,280
Speaker 1: and points to maybe a way out of the bad

629
00:33:58,280 --> 00:34:00,280
Speaker 1: place that we're in right now as a country. So

630
00:34:00,320 --> 00:34:02,720
Speaker 1: these little signs, So of course, we've been tracking the

631
00:34:02,840 --> 00:34:05,400
Speaker 1: Great Resignation and we just got new numbers in that

632
00:34:05,520 --> 00:34:10,400
Speaker 1: were another record breaking historic month for resignations. Let's go

633
00:34:10,440 --> 00:34:13,240
Speaker 1: ahead and put this up on the screen with the numbers.

634
00:34:13,280 --> 00:34:17,560
Speaker 1: There more quick jobs than ever, and most of the

635
00:34:17,640 --> 00:34:21,680
Speaker 1: turnover is in low wage work. More than four point

636
00:34:21,840 --> 00:34:26,880
Speaker 1: five million people voluntarily left their jobs in November. That

637
00:34:27,040 --> 00:34:30,640
Speaker 1: was up from four point two million in October. It

638
00:34:30,760 --> 00:34:34,320
Speaker 1: was the most in the two decades that the government

639
00:34:34,400 --> 00:34:37,840
Speaker 1: has been keeping track, and as I indicated, the place

640
00:34:37,880 --> 00:34:42,560
Speaker 1: where that saw the largest turnover was in low wage work.

641
00:34:42,600 --> 00:34:45,200
Speaker 1: In these positions where previously workers didn't feel like they

642
00:34:45,239 --> 00:34:48,520
Speaker 1: had a choice. They may have hated their job, it

643
00:34:48,560 --> 00:34:51,520
Speaker 1: may have been wildly insufficient in terms of their wages

644
00:34:51,600 --> 00:34:54,160
Speaker 1: and their benefits, the scheduling may have been abhorrent. They

645
00:34:54,160 --> 00:34:56,919
Speaker 1: may have been treated completely and humanely, but they didn't

646
00:34:56,920 --> 00:35:00,239
Speaker 1: feel like they had a choice to leave. Now have

647
00:35:00,719 --> 00:35:04,640
Speaker 1: millions of people every single month saying I'm out of here,

648
00:35:04,800 --> 00:35:08,799
Speaker 1: I'm doing something different. You combine that with what we've

649
00:35:08,800 --> 00:35:14,360
Speaker 1: been tracking in terms of unionization and strikes and walkouts

650
00:35:14,400 --> 00:35:19,319
Speaker 1: and other forms of workers exerting their power, and this

651
00:35:19,520 --> 00:35:24,760
Speaker 1: is actually very very encouraging because one of the main,

652
00:35:25,080 --> 00:35:28,399
Speaker 1: if not the main structural issue in my mind, in

653
00:35:28,600 --> 00:35:33,000
Speaker 1: the country has been this dramatic imbalance where you know

654
00:35:33,040 --> 00:35:36,480
Speaker 1: you have a few people and corporate entities that have

655
00:35:36,760 --> 00:35:40,719
Speaker 1: so much power, and everyone else is just treated as

656
00:35:40,760 --> 00:35:43,640
Speaker 1: a pawn, which gives you ultimately, You know, if you

657
00:35:43,680 --> 00:35:45,920
Speaker 1: care about things like freedom and choice, that ultimately you

658
00:35:45,960 --> 00:35:49,560
Speaker 1: may have the illusion of some sort of freedom and liberty.

659
00:35:49,840 --> 00:35:51,880
Speaker 1: But if the only place where you can work is

660
00:35:51,880 --> 00:35:53,839
Speaker 1: Walmart and you just have to take whatever deal they're

661
00:35:53,880 --> 00:35:56,280
Speaker 1: going to give you, what kind of freedom is that really?

662
00:35:56,360 --> 00:35:59,680
Speaker 1: So this to me is a sort of central metric

663
00:35:59,800 --> 00:36:02,759
Speaker 1: of people having actual liberty and choice and freedom and

664
00:36:02,800 --> 00:36:06,080
Speaker 1: ability to change the direction that their life is going in.

665
00:36:06,120 --> 00:36:08,560
Speaker 1: And the reason I love this too is an entirely

666
00:36:08,640 --> 00:36:12,640
Speaker 1: blue collar phenomenon. It is all turnover in previously lower

667
00:36:12,719 --> 00:36:15,960
Speaker 1: wage work. Now the wages Obviously we talk about inflation,

668
00:36:16,120 --> 00:36:19,560
Speaker 1: regressive taxation, all of that. That is absolutely true, but

669
00:36:19,680 --> 00:36:22,279
Speaker 1: the amount of bargaining power that we're blue collar and

670
00:36:22,480 --> 00:36:26,080
Speaker 1: lower paid workers have right now is its highest point ever.

671
00:36:26,200 --> 00:36:30,040
Speaker 1: Almost thirty something million Americans turned over at their jobs,

672
00:36:30,080 --> 00:36:32,959
Speaker 1: which is this is the other way wild think about

673
00:36:33,000 --> 00:36:36,680
Speaker 1: it too. In terms of popular culture representation, nobody is

674
00:36:36,719 --> 00:36:39,080
Speaker 1: talking about this to the extent I do see people

675
00:36:39,120 --> 00:36:41,839
Speaker 1: talking about it. It's like doctors and healthcare workers. They're

676
00:36:41,880 --> 00:36:44,920
Speaker 1: like the burnout amongst these folks. No disrespect to the

677
00:36:45,000 --> 00:36:46,799
Speaker 1: nurses and the doctors out there. I'm sure it has

678
00:36:46,840 --> 00:36:50,799
Speaker 1: been a very difficult year. But the real focus to

679
00:36:50,840 --> 00:36:53,680
Speaker 1: me are the delivery drivers and the McDonald's workers, and

680
00:36:53,719 --> 00:36:56,399
Speaker 1: the Starbucks workers that we had here on our show,

681
00:36:56,480 --> 00:36:59,239
Speaker 1: and the people that we've discussed with and said, hey,

682
00:36:59,320 --> 00:37:02,040
Speaker 1: I got treated like crap eleven dollars an hour. I said,

683
00:37:02,120 --> 00:37:04,440
Speaker 1: screw you, I quit in a dramatic fashion, and I

684
00:37:04,480 --> 00:37:06,920
Speaker 1: went and I got a job the next day for

685
00:37:07,000 --> 00:37:10,000
Speaker 1: fifteen dollars an hour. Everybody can relate. Every almost every

686
00:37:10,000 --> 00:37:12,040
Speaker 1: small business you walk into in the country has a

687
00:37:12,080 --> 00:37:15,759
Speaker 1: help wanted sign outdoor. People are paying fifteen dollars an hour.

688
00:37:15,960 --> 00:37:18,600
Speaker 1: Seventeen dollars an hour. You see signs at like Taco

689
00:37:18,719 --> 00:37:21,200
Speaker 1: bells saying we hire on the spot. You know, just

690
00:37:21,239 --> 00:37:23,080
Speaker 1: come in, We'll give you a job, like let's go,

691
00:37:23,320 --> 00:37:25,640
Speaker 1: I'll give you a bonus one hundred dollars in cash.

692
00:37:25,840 --> 00:37:28,920
Speaker 1: These are the most positive phenomena that we've seen yet,

693
00:37:29,160 --> 00:37:33,280
Speaker 1: and it's necessary because these people are driving record profits.

694
00:37:33,480 --> 00:37:36,080
Speaker 1: Remember corporate profits that are an all time high. The

695
00:37:36,200 --> 00:37:38,360
Speaker 1: S and P five hundred isn't an all time high

696
00:37:38,520 --> 00:37:42,280
Speaker 1: pre pandemic, even highs have been beat. The richest Americans

697
00:37:42,280 --> 00:37:45,040
Speaker 1: have a disproportionate amount of wealth, and because of a

698
00:37:45,080 --> 00:37:50,000
Speaker 1: variety of circumstances of which they're very multifaceted, early retirements,

699
00:37:50,200 --> 00:37:55,040
Speaker 1: reassessment of life, geographical dislocation, pandemic, et cetera, a lot

700
00:37:55,080 --> 00:37:57,160
Speaker 1: of people are willing to say, no, I'm willing to

701
00:37:57,160 --> 00:37:58,959
Speaker 1: go take this new job. I'm willing to take a risk.

702
00:37:59,239 --> 00:38:02,920
Speaker 1: New businesses being started in a we literally are an

703
00:38:02,960 --> 00:38:05,680
Speaker 1: example of that, are being started at a record rate.

704
00:38:05,840 --> 00:38:07,719
Speaker 1: But all of this is flying under the radar of

705
00:38:07,800 --> 00:38:09,759
Speaker 1: kind of the comfort class who are zooming in from

706
00:38:09,840 --> 00:38:12,720
Speaker 1: work and have from the very beginning. So that's why

707
00:38:12,760 --> 00:38:15,680
Speaker 1: it deserves real I think we should hail it as

708
00:38:15,680 --> 00:38:19,040
Speaker 1: a very positive phenomenon, and if I were to have

709
00:38:19,040 --> 00:38:21,080
Speaker 1: any hope about the future, this is what I would

710
00:38:21,080 --> 00:38:23,279
Speaker 1: point to. I think that a lot of people are

711
00:38:23,320 --> 00:38:26,719
Speaker 1: really pissed off right now, and that's really terrible in

712
00:38:26,760 --> 00:38:30,600
Speaker 1: the moment, but that leads to new choices and new

713
00:38:30,640 --> 00:38:32,600
Speaker 1: things and made me You were previously miserable, like a

714
00:38:32,640 --> 00:38:34,880
Speaker 1: slow burning misery, and you said, screw it, I'm finally

715
00:38:34,880 --> 00:38:37,000
Speaker 1: going to take care of myself. I'm finally going to

716
00:38:37,080 --> 00:38:40,280
Speaker 1: go and do something that I actually enjoy. So from

717
00:38:40,360 --> 00:38:42,600
Speaker 1: the you know, from the ashes, rise of the phoenix,

718
00:38:42,760 --> 00:38:45,239
Speaker 1: like so people say, and I really hope and believe

719
00:38:45,239 --> 00:38:46,600
Speaker 1: that we're in a point like that right now. We

720
00:38:46,640 --> 00:38:49,920
Speaker 1: desperately need a rebalancing of the scales, and we desperately

721
00:38:49,920 --> 00:38:53,040
Speaker 1: need I mean, the only cure for what ails us

722
00:38:53,239 --> 00:38:56,320
Speaker 1: is rather than moving in the you know, increasing police

723
00:38:56,400 --> 00:39:00,120
Speaker 1: state and lockdown state direction, which is again some that

724
00:39:00,120 --> 00:39:03,160
Speaker 1: we're going to talk to Glenn about, is having more

725
00:39:03,200 --> 00:39:06,640
Speaker 1: people involved, more people having faith that their voices count

726
00:39:06,719 --> 00:39:09,400
Speaker 1: in the process. And that's not just at the national

727
00:39:09,400 --> 00:39:12,600
Speaker 1: political level, but also in the workplace, which is why

728
00:39:12,640 --> 00:39:15,440
Speaker 1: these union efforts are so important. Why people you know,

729
00:39:15,480 --> 00:39:18,080
Speaker 1: standing in solidarity and being able to fight against these

730
00:39:18,120 --> 00:39:22,800
Speaker 1: big corporations and win some minor concessions. I mean mostly

731
00:39:22,880 --> 00:39:25,319
Speaker 1: these workers aren't asking for that much, just sort of

732
00:39:25,360 --> 00:39:30,000
Speaker 1: like you know, a basic fair bargain for their incredible

733
00:39:30,080 --> 00:39:33,200
Speaker 1: labor that they're putting in. And so this is just

734
00:39:33,560 --> 00:39:36,480
Speaker 1: a sign that workers that the scales have tipped a

735
00:39:36,520 --> 00:39:40,000
Speaker 1: little bit. I mean the downside, which is a huge downside,

736
00:39:40,280 --> 00:39:43,160
Speaker 1: is that, according to this article, only seventeen percent of

737
00:39:43,239 --> 00:39:45,960
Speaker 1: workers say that they've gotten a race sufficient to keep

738
00:39:46,040 --> 00:39:48,959
Speaker 1: up with inflation exactly. And so that's why you have

739
00:39:49,200 --> 00:39:53,439
Speaker 1: this very strange economic landscape of On the one hand,

740
00:39:53,440 --> 00:39:56,080
Speaker 1: I mean, these metrics about the Great resignation are phenomenal

741
00:39:56,200 --> 00:39:58,759
Speaker 1: tight labor market, people being able to jump jobs and

742
00:39:58,760 --> 00:40:02,080
Speaker 1: get big pay raises. All of these things are good,

743
00:40:02,719 --> 00:40:06,160
Speaker 1: but then it's being totally swallowed and eaten up by inflation.

744
00:40:06,760 --> 00:40:09,960
Speaker 1: The pandemic support programs have all mostly you know all,

745
00:40:10,880 --> 00:40:13,000
Speaker 1: but I think the student loan relief have been pulled

746
00:40:13,000 --> 00:40:15,160
Speaker 1: at this point that's set to be to go away

747
00:40:15,200 --> 00:40:17,520
Speaker 1: here soon. So people are spending down their savings accounts.

748
00:40:17,560 --> 00:40:21,640
Speaker 1: That's why they are such an incredibly pessimistic feeling about

749
00:40:21,640 --> 00:40:24,520
Speaker 1: the direction the economy is going in and how people

750
00:40:24,520 --> 00:40:28,000
Speaker 1: are doing personally this year versus last year. Yeah. Absolutely,

751
00:40:28,080 --> 00:40:29,720
Speaker 1: And you know, one thing we don't want to miss

752
00:40:30,160 --> 00:40:33,160
Speaker 1: some good news up there on the screen. US businesses

753
00:40:33,280 --> 00:40:37,080
Speaker 1: actually added eight hundred thousand jobs in December, despite the

754
00:40:37,080 --> 00:40:39,839
Speaker 1: emergence of omicron. And this is from new data by

755
00:40:39,880 --> 00:40:43,239
Speaker 1: Payroll Process or ADP, so the ADP report, which is

756
00:40:43,480 --> 00:40:45,920
Speaker 1: it's generally very you know closely watched gauge of private

757
00:40:45,920 --> 00:40:49,359
Speaker 1: sector growth showed the private payrolls twice as many new

758
00:40:49,400 --> 00:40:52,880
Speaker 1: workers as analysts had projected. So, look, it's just one

759
00:40:52,960 --> 00:40:55,960
Speaker 1: data point. It is December, but this could be you know,

760
00:40:56,000 --> 00:40:58,880
Speaker 1: we've had those dismal jobs months before. Maybe we're on

761
00:40:58,920 --> 00:41:02,120
Speaker 1: an upswing. I generally begin to think that we are. Yes,

762
00:41:02,200 --> 00:41:04,719
Speaker 1: Amicron may have had some disruption in that, so we

763
00:41:04,800 --> 00:41:06,880
Speaker 1: might see that maybe more in the month of January,

764
00:41:06,960 --> 00:41:09,080
Speaker 1: because some of these crazy restrictions which we're about to

765
00:41:09,080 --> 00:41:11,480
Speaker 1: talk about are still in place, but there is a

766
00:41:11,520 --> 00:41:14,840
Speaker 1: reason to be hopeful and there is transformation that is happening.

767
00:41:15,320 --> 00:41:18,480
Speaker 1: Part of the thing about dynamism is sometimes it's uncomfortable,

768
00:41:18,520 --> 00:41:20,640
Speaker 1: but I think we're getting there. Let me say, because

769
00:41:20,640 --> 00:41:22,759
Speaker 1: we're kind of wrapping up a little bit of our

770
00:41:22,920 --> 00:41:27,160
Speaker 1: January sixth yes blocks here, so to tie it back together.

771
00:41:27,600 --> 00:41:33,120
Speaker 1: Part of why find the media coverage that is really pernicious,

772
00:41:33,520 --> 00:41:38,160
Speaker 1: this direction of rather than talking about these underlying issues,

773
00:41:38,200 --> 00:41:41,400
Speaker 1: these structural issues that both parties are complicit in to

774
00:41:41,640 --> 00:41:47,719
Speaker 1: various degrees, just sort of demonizing people who in some

775
00:41:47,800 --> 00:41:50,279
Speaker 1: cases do things that are genuinely bad or acting like

776
00:41:50,320 --> 00:41:55,560
Speaker 1: total assholes or committing crimes, etc. Because the only way

777
00:41:55,680 --> 00:41:58,720
Speaker 1: out of this is if we have actually more faith

778
00:41:58,800 --> 00:42:02,600
Speaker 1: and more trust in each other and can have more democracy,

779
00:42:02,920 --> 00:42:06,520
Speaker 1: not less. And so if your whole project, and this

780
00:42:06,640 --> 00:42:09,440
Speaker 1: is matt Tybee hating something we've talked about here a lot,

781
00:42:09,760 --> 00:42:12,840
Speaker 1: But if your whole project is just let me convince you,

782
00:42:12,960 --> 00:42:14,879
Speaker 1: let me play to you, let me titilate you, let

783
00:42:14,880 --> 00:42:17,200
Speaker 1: me scare you, let me freak you out, let me

784
00:42:17,239 --> 00:42:19,600
Speaker 1: make you angry by convincing you that this half of

785
00:42:19,640 --> 00:42:24,279
Speaker 1: the population is evil and bad and irredeemable. There's no

786
00:42:24,400 --> 00:42:27,040
Speaker 1: direction forward from that. I mean, there's no way forward

787
00:42:27,040 --> 00:42:30,439
Speaker 1: from them. The way forward from that is further sort

788
00:42:30,440 --> 00:42:32,960
Speaker 1: of police state for you know, deep state security state,

789
00:42:32,960 --> 00:42:35,000
Speaker 1: getting stronger and locking down because you've got to keep

790
00:42:35,040 --> 00:42:38,720
Speaker 1: those bad ones in check. Or or the other direction

791
00:42:38,840 --> 00:42:41,240
Speaker 1: is let's make sure that these people can't vote. Let's

792
00:42:41,280 --> 00:42:43,640
Speaker 1: like push them outside of the public square. Let's push

793
00:42:43,719 --> 00:42:46,399
Speaker 1: them off of Twitter, let's ban them from YouTube. Let's

794
00:42:46,440 --> 00:42:48,200
Speaker 1: make sure that they're just sort of like you know,

795
00:42:48,320 --> 00:42:50,960
Speaker 1: push to the margins and shut up as much as

796
00:42:50,960 --> 00:42:55,280
Speaker 1: we possibly can. That's that's no way to live, that's

797
00:42:55,480 --> 00:42:58,640
Speaker 1: no way to have a society. Ultimately. So that's the

798
00:42:58,680 --> 00:43:01,800
Speaker 1: other reason why I find, you know, the media coverage

799
00:43:01,880 --> 00:43:05,600
Speaker 1: that goes in that direction so pernicious. That's why I

800
00:43:05,680 --> 00:43:09,319
Speaker 1: find it so troubling. A lot of the direction that

801
00:43:09,480 --> 00:43:12,040
Speaker 1: the conversation out of one to six was and some

802
00:43:12,080 --> 00:43:15,200
Speaker 1: of the tactics that it's been used to justifies because

803
00:43:15,600 --> 00:43:17,360
Speaker 1: that's the opposite of the direction that we need to

804
00:43:17,360 --> 00:43:19,640
Speaker 1: go in. So the one place where I really see

805
00:43:19,680 --> 00:43:24,200
Speaker 1: hope in sort of budding democracy and people standing shoulder

806
00:43:24,239 --> 00:43:27,319
Speaker 1: to shoulder putting their faith in their brothers and sisters

807
00:43:27,680 --> 00:43:31,160
Speaker 1: in their workplace is with these strikes, with the great

808
00:43:31,200 --> 00:43:36,440
Speaker 1: resignation numbers, with this movement among the workforce. And I

809
00:43:36,440 --> 00:43:39,720
Speaker 1: think that's the place that personally, I'm looking to twenty

810
00:43:39,719 --> 00:43:41,919
Speaker 1: two with a twenty twenty two with a lot of help.

811
00:43:42,000 --> 00:43:44,480
Speaker 1: I agree, if there is a glimmer of hope, it's

812
00:43:44,520 --> 00:43:46,680
Speaker 1: going to be here. I'm not saying things won't be terrible.

813
00:43:47,000 --> 00:43:48,800
Speaker 1: I do think that the midterm elections are going to

814
00:43:48,840 --> 00:43:51,160
Speaker 1: be fun and we'll have some We'll have some fun

815
00:43:51,239 --> 00:43:53,200
Speaker 1: in covering that here. It's going to reveal a lot

816
00:43:53,239 --> 00:43:55,600
Speaker 1: about what you guys are actually thinking, and people in

817
00:43:55,640 --> 00:43:58,120
Speaker 1: this town are going to start waking up. At least

818
00:43:58,120 --> 00:44:01,799
Speaker 1: that's my hope. Yeah maybe, yeah, right, I probably should

819
00:44:01,880 --> 00:44:04,520
Speaker 1: be cynical. What can I say? All right, speaking of

820
00:44:04,560 --> 00:44:07,200
Speaker 1: cynicism and why I should be, this has got to

821
00:44:07,239 --> 00:44:10,760
Speaker 1: be we have we continue to track this hyper disturbing

822
00:44:10,760 --> 00:44:15,480
Speaker 1: phenomena of elites and media corporations pushing a line and

823
00:44:15,680 --> 00:44:19,880
Speaker 1: using in this case quote unquote medical ethicis the idea

824
00:44:19,920 --> 00:44:23,360
Speaker 1: that we should deny healthcare to people who are unvaccinated,

825
00:44:23,480 --> 00:44:26,000
Speaker 1: that we should shame them, push them outside of society.

826
00:44:26,360 --> 00:44:29,840
Speaker 1: As we said, that is actually a dream of many

827
00:44:29,960 --> 00:44:33,720
Speaker 1: libertarian think tanks here in DC who have long wanted

828
00:44:33,800 --> 00:44:36,880
Speaker 1: on behalf of the insurance companies to set the precedent

829
00:44:37,040 --> 00:44:39,560
Speaker 1: that we should be able to deny healthcare to people

830
00:44:39,640 --> 00:44:43,120
Speaker 1: like smokers, people who are obese, if you care about

831
00:44:43,239 --> 00:44:46,279
Speaker 1: racial inequality, you know, people who are poor and have

832
00:44:46,360 --> 00:44:49,560
Speaker 1: long standing chronic health conditions, and more. And we have

833
00:44:49,640 --> 00:44:52,360
Speaker 1: had to fight against that idea in our healthcare system

834
00:44:52,440 --> 00:44:56,080
Speaker 1: for one hundred years, and somehow this is the first

835
00:44:56,080 --> 00:45:00,919
Speaker 1: time that I've actually seen it become popularized in elite mythology,

836
00:45:01,120 --> 00:45:04,400
Speaker 1: and it is setting a very damaging precedent. This was

837
00:45:04,440 --> 00:45:07,520
Speaker 1: the latest example from CNN where they literally have on

838
00:45:07,560 --> 00:45:10,160
Speaker 1: a medical ethesis. Just listen to how this guy has

839
00:45:10,520 --> 00:45:14,239
Speaker 1: has to say. Just listen to him. Yeah again, I

840
00:45:14,320 --> 00:45:17,160
Speaker 1: get the idea of creating a moral standard here and

841
00:45:17,280 --> 00:45:21,320
Speaker 1: really judging, being willing to judge and say things out loud.

842
00:45:21,560 --> 00:45:23,760
Speaker 1: The question is, and I also get protected the vulnerable

843
00:45:23,840 --> 00:45:26,600
Speaker 1: kids under five can't get vaccinated. People who are older

844
00:45:26,880 --> 00:45:29,120
Speaker 1: and maybe have medical conditions, even if they are vaccinated,

845
00:45:29,160 --> 00:45:32,319
Speaker 1: are vulnerable. And I get acting in ways that make

846
00:45:32,360 --> 00:45:36,879
Speaker 1: their lives safer. But by and large, if you're vaccinated

847
00:45:36,920 --> 00:45:39,680
Speaker 1: and boosted, even if you get infected, you're gonna be fine.

848
00:45:39,920 --> 00:45:42,120
Speaker 1: You're gonna be fine. Here it's the unvaccinated who are

849
00:45:42,160 --> 00:45:46,480
Speaker 1: gonna be hurt. So why should anyone who is boosted

850
00:45:46,680 --> 00:45:50,880
Speaker 1: bother at this point to do anything that makes the

851
00:45:51,040 --> 00:45:56,479
Speaker 1: unvaccinated more safe. Well, look, I want us to act

852
00:45:56,480 --> 00:45:58,840
Speaker 1: as a community. I want us to act as a team.

853
00:45:58,880 --> 00:46:02,240
Speaker 1: When you're fighting a you need all hands on deck.

854
00:46:02,400 --> 00:46:05,120
Speaker 1: I don't want to reject those who still haven't done

855
00:46:05,120 --> 00:46:08,160
Speaker 1: the right thing. I'll condemn them, I'll shame them, I'll

856
00:46:08,200 --> 00:46:11,239
Speaker 1: blame them, but I don't want to exclude them. They've

857
00:46:11,280 --> 00:46:13,640
Speaker 1: got to come around. We can't win this war. We're

858
00:46:13,640 --> 00:46:17,080
Speaker 1: gonna be talking about COVID this time next year if

859
00:46:17,120 --> 00:46:19,600
Speaker 1: we don't get more people to do the right thing.

860
00:46:19,719 --> 00:46:22,920
Speaker 1: So we can't write them off, we can penalize them more.

861
00:46:22,960 --> 00:46:24,960
Speaker 1: We can say we're going to pay more on your

862
00:46:24,960 --> 00:46:28,399
Speaker 1: hospital bill if you weren't vaccinated. You can't get life

863
00:46:28,480 --> 00:46:32,680
Speaker 1: insurance or disability insurance at affordable rates if you aren't vaccinated.

864
00:46:32,719 --> 00:46:36,280
Speaker 1: Those companies should not treat us as equals in terms

865
00:46:36,320 --> 00:46:39,879
Speaker 1: of what the financial burdens are that that disease imposes.

866
00:46:40,360 --> 00:46:42,040
Speaker 1: So I can think of a number of ways in

867
00:46:42,080 --> 00:46:45,960
Speaker 1: which we should say here's the stick, get on board.

868
00:46:46,200 --> 00:46:49,280
Speaker 1: At the same time, we do need everyone. It's a war.

869
00:46:49,760 --> 00:46:52,680
Speaker 1: You've got to have all your troops unified if we're

870
00:46:52,680 --> 00:46:55,680
Speaker 1: ever going to win it. Yeah, it's still by and larger.

871
00:46:55,760 --> 00:46:58,839
Speaker 1: It's the unvaccinated who aren't wearing masks. It's the unvaccinated

872
00:46:58,840 --> 00:47:03,520
Speaker 1: who aren't social distancing. You know. The framing there is

873
00:47:03,560 --> 00:47:06,880
Speaker 1: really interesting is and why you director of medical ethics,

874
00:47:06,880 --> 00:47:10,240
Speaker 1: School of Medicine. This guy is teaching doctor's ethics, Crystal.

875
00:47:10,360 --> 00:47:12,200
Speaker 1: I mean, oh yeah, we don't even push them out,

876
00:47:12,200 --> 00:47:15,839
Speaker 1: but we should destroy them financially. I like, well, that's

877
00:47:15,880 --> 00:47:17,680
Speaker 1: a part of it. The frame of it that's really

878
00:47:17,760 --> 00:47:19,680
Speaker 1: interesting to me is he tries to frame it as

879
00:47:19,680 --> 00:47:22,560
Speaker 1: like compassion. Oh, can't leave them behind. We can't, you know,

880
00:47:22,680 --> 00:47:26,200
Speaker 1: can't give up on getting them vaccinated. So but I'm

881
00:47:26,239 --> 00:47:28,759
Speaker 1: all for shaming them. I'm all for making sure you

882
00:47:28,800 --> 00:47:31,640
Speaker 1: know that their their hospital bills are higher, and that

883
00:47:31,719 --> 00:47:35,320
Speaker 1: their insurance bills are higher, et cetera, et cetera. It's like, again,

884
00:47:36,120 --> 00:47:38,560
Speaker 1: where does this kind of thinking end? Because this really

885
00:47:38,640 --> 00:47:41,560
Speaker 1: does feel very much like the sort of right wing

886
00:47:41,600 --> 00:47:44,200
Speaker 1: libertarian arguments that were made of like well if you

887
00:47:44,239 --> 00:47:48,919
Speaker 1: haven't taken personal responsibility for your health, you know, and look,

888
00:47:49,000 --> 00:47:51,759
Speaker 1: I mean I get where you're coming from. But runs again, yeah,

889
00:47:51,800 --> 00:47:53,239
Speaker 1: when you don't want to take a vaccine and other

890
00:47:53,239 --> 00:47:56,080
Speaker 1: people say that, which is why that we set the precedent. No,

891
00:47:56,360 --> 00:47:59,560
Speaker 1: we don't discriminate whenever it because who are you going

892
00:47:59,600 --> 00:48:01,440
Speaker 1: to put in a position to judge all of our

893
00:48:01,560 --> 00:48:05,400
Speaker 1: life life choices and weigh in, Okay, what are your

894
00:48:05,440 --> 00:48:08,640
Speaker 1: genetic factors and what's what is your background or what

895
00:48:08,640 --> 00:48:10,480
Speaker 1: what have you suffered to get you to this place?

896
00:48:10,560 --> 00:48:12,880
Speaker 1: I mean, it's just it's a terrible place to be

897
00:48:13,400 --> 00:48:15,840
Speaker 1: We shouldn't be in a state of saying some people,

898
00:48:15,880 --> 00:48:18,520
Speaker 1: these ones over here are worthy and these ones are unworthy.

899
00:48:18,880 --> 00:48:21,239
Speaker 1: Whether the line you want to draw is on vaccination

900
00:48:21,400 --> 00:48:25,920
Speaker 1: status or anything else. I abhor this whole direction. I'm

901
00:48:25,920 --> 00:48:28,720
Speaker 1: thinking we covered that editorial from them from the Bezos

902
00:48:29,040 --> 00:48:32,279
Speaker 1: from the Bezos lash and post saying if you're you know,

903
00:48:32,360 --> 00:48:37,480
Speaker 1: if you are unvaccinated, you shouldn't get unemployment insurance. This

904
00:48:37,560 --> 00:48:40,840
Speaker 1: is this is not These are people to consider themselves,

905
00:48:40,840 --> 00:48:43,120
Speaker 1: probably politically, to be on the left of the spectrum.

906
00:48:43,239 --> 00:48:45,520
Speaker 1: They don't know what they're and you're for, Like, I mean,

907
00:48:45,560 --> 00:48:49,440
Speaker 1: this is some This is like a left wing welfare

908
00:48:49,520 --> 00:48:52,800
Speaker 1: queen type of argument, nonsense of trying to make people

909
00:48:53,000 --> 00:48:56,800
Speaker 1: unworthy of social supports in a society. It's this is

910
00:48:56,840 --> 00:48:59,120
Speaker 1: a bad direction to go in period. Oh yeah, and

911
00:48:59,160 --> 00:49:03,279
Speaker 1: you know, the extension of the COVID regime is just

912
00:49:03,400 --> 00:49:08,880
Speaker 1: continuing to destroy people's lives. And look, this happened yesterday

913
00:49:08,920 --> 00:49:11,680
Speaker 1: to an MSNBC host. Let's put this up on the screen.

914
00:49:11,719 --> 00:49:15,160
Speaker 1: I'm on Moldine. He said that his family was denied

915
00:49:15,280 --> 00:49:18,800
Speaker 1: eating indoors at a restaurant in New York City because

916
00:49:18,840 --> 00:49:21,480
Speaker 1: his four year old daughter was with him, and they

917
00:49:21,520 --> 00:49:26,319
Speaker 1: don't quote serve unvaccinated people. He tried to explain, there

918
00:49:26,360 --> 00:49:30,440
Speaker 1: is no CDC guideline requiring children under five to get vaccinated,

919
00:49:30,640 --> 00:49:34,239
Speaker 1: but the restaurant did not care and only offered for

920
00:49:34,360 --> 00:49:37,879
Speaker 1: him to be able to eat outside. So number one

921
00:49:38,160 --> 00:49:41,080
Speaker 1: CDC guideline doesn't require anything for anybody. That's why their

922
00:49:41,080 --> 00:49:45,560
Speaker 1: guidelines number two there literally is no vaccine for people

923
00:49:45,680 --> 00:49:49,799
Speaker 1: who are below five. And even further, the idea that

924
00:49:49,880 --> 00:49:53,000
Speaker 1: you're gonna have massive amounts of spread or whatever from

925
00:49:53,080 --> 00:49:57,160
Speaker 1: a four year old is just the most ludicrous thing.

926
00:49:57,600 --> 00:49:59,960
Speaker 1: But this is where the restrictions and the type of

927
00:50:00,120 --> 00:50:03,320
Speaker 1: thinking leads to it. Exactly is this which is now?

928
00:50:03,520 --> 00:50:06,359
Speaker 1: You know New York City, Los Angeles. I think forty

929
00:50:06,400 --> 00:50:09,439
Speaker 1: eight percent of black residents there are unvaccinated. Now we're

930
00:50:09,440 --> 00:50:12,520
Speaker 1: going to be denied entry to half the institutions in

931
00:50:12,600 --> 00:50:16,240
Speaker 1: the entire city. All this is complete madness. We continue

932
00:50:16,280 --> 00:50:19,240
Speaker 1: to see how it gets extended to the most ridiculous

933
00:50:19,239 --> 00:50:21,399
Speaker 1: parts of our lives. I was telling you yesterday, I'll

934
00:50:21,560 --> 00:50:24,200
Speaker 1: share it here on the show because this one really

935
00:50:24,239 --> 00:50:27,960
Speaker 1: just drove me crazy. Was somebody, an anonymous person I've

936
00:50:28,040 --> 00:50:31,560
Speaker 1: chosen to protect their identity. They are required by their

937
00:50:31,680 --> 00:50:33,560
Speaker 1: boss to show up in person. This is a white

938
00:50:33,600 --> 00:50:37,160
Speaker 1: collar workplace. But because now everybody is allowed to admit,

939
00:50:37,200 --> 00:50:39,879
Speaker 1: cloth masks don't work. Everybody has to be wearing an

940
00:50:39,960 --> 00:50:43,560
Speaker 1: N ninety five at all times. Meals are not allowed

941
00:50:43,560 --> 00:50:46,200
Speaker 1: to be eaten indoors. This is in the Northeast. It's

942
00:50:46,239 --> 00:50:49,200
Speaker 1: cold as hell outside. It's like twenty degrees. No in

943
00:50:49,360 --> 00:50:53,000
Speaker 1: person meetings are allowed in conference rooms, but staff wide

944
00:50:53,080 --> 00:50:55,960
Speaker 1: zoom calls are still required. So they're all sitting in

945
00:50:56,000 --> 00:50:59,200
Speaker 1: their cubicles with their N ninety five masks glued to

946
00:50:59,239 --> 00:51:03,880
Speaker 1: their face, doing zoom calls, sitting side by side, unable

947
00:51:03,920 --> 00:51:07,480
Speaker 1: to eat anything. This is real life. I'm not exaggerating.

948
00:51:07,719 --> 00:51:10,240
Speaker 1: At Yale University. This is another one for the students.

949
00:51:10,440 --> 00:51:12,479
Speaker 1: I know you should cry too much for the IVY

950
00:51:12,560 --> 00:51:15,640
Speaker 1: League kids, but they are kids regardless. Let's put this

951
00:51:15,760 --> 00:51:19,120
Speaker 1: up there, which is that they are allowed now. Yeah,

952
00:51:19,160 --> 00:51:21,920
Speaker 1: you can come back to New Haven even though they

953
00:51:21,920 --> 00:51:27,080
Speaker 1: are boosted. But while you're here, students must quarantine in

954
00:51:27,160 --> 00:51:30,680
Speaker 1: their resonances except to pick up food and tests, until

955
00:51:30,719 --> 00:51:33,880
Speaker 1: they receive results of an arrival test. Yale Institute at

956
00:51:33,880 --> 00:51:38,080
Speaker 1: a campus wide quarantine until February seven. Students may not

957
00:51:38,320 --> 00:51:44,400
Speaker 1: visit New Haven businesses or eat at local restaurants even outdoors,

958
00:51:44,800 --> 00:51:49,240
Speaker 1: except for curbside pickup. Dining is grab and go until

959
00:51:49,280 --> 00:51:53,320
Speaker 1: public health conditions improve. Yale is currently set to resume

960
00:51:53,320 --> 00:51:56,120
Speaker 1: in person classes on February seven. So not only are

961
00:51:56,120 --> 00:51:59,160
Speaker 1: these people being charged exorbitant amounts of money, they're literally

962
00:51:59,239 --> 00:52:02,279
Speaker 1: imprisoning them in their dorms and saying, oh, yeah, all

963
00:52:02,320 --> 00:52:05,440
Speaker 1: those restaurants around you, you cannot even go there to

964
00:52:05,520 --> 00:52:10,400
Speaker 1: eat outdoors. It's complete madness. And this is happening across

965
00:52:10,440 --> 00:52:13,520
Speaker 1: the entire country. It filters down from Yales and to

966
00:52:13,600 --> 00:52:16,799
Speaker 1: the georgetowns, and now to the GW's and the Americans

967
00:52:17,440 --> 00:52:21,400
Speaker 1: law schools. It completely comes down to the white collar workplace,

968
00:52:21,560 --> 00:52:23,479
Speaker 1: and in the blue collar workplace, you know, those people

969
00:52:23,520 --> 00:52:25,600
Speaker 1: are treated just as shittily too. It's like we have

970
00:52:25,640 --> 00:52:30,000
Speaker 1: an entire nation which is just being tortured by these

971
00:52:30,239 --> 00:52:34,160
Speaker 1: like COVID public health bureaucracy for literally no reason. I

972
00:52:34,480 --> 00:52:37,840
Speaker 1: don't know, maybe I sound crazy, Chris, I'm increasingly starting

973
00:52:37,840 --> 00:52:40,080
Speaker 1: to lose my mind. The thing I mean, Ammon's a

974
00:52:40,120 --> 00:52:43,359
Speaker 1: longtime personal friend of mine, so really bothered me when

975
00:52:43,360 --> 00:52:45,120
Speaker 1: I saw that, because that's just a terrible feeling to

976
00:52:45,160 --> 00:52:47,520
Speaker 1: be treated like that. I can't even out with your

977
00:52:47,560 --> 00:52:50,000
Speaker 1: family child, yeah, with your four I mean I have

978
00:52:50,000 --> 00:52:53,120
Speaker 1: a four year old who's you know, also unvaccinated because

979
00:52:53,160 --> 00:52:56,920
Speaker 1: you can't get a vaccine because she's not five. Yeah,

980
00:52:56,960 --> 00:53:01,200
Speaker 1: I mean, some people have just this is again, this

981
00:53:01,239 --> 00:53:06,320
Speaker 1: is not reflective of science. And there's been a lot

982
00:53:06,400 --> 00:53:10,560
Speaker 1: of veneration of the science, which was always you know,

983
00:53:10,760 --> 00:53:16,240
Speaker 1: kind of desire to outsource thinking about values and thinking

984
00:53:16,280 --> 00:53:20,680
Speaker 1: about a society, thinking about politics to these supposed experts

985
00:53:20,760 --> 00:53:22,839
Speaker 1: who were just gonna whatever they say goes and then

986
00:53:22,880 --> 00:53:24,680
Speaker 1: we don't have to really think too hard about it.

987
00:53:25,080 --> 00:53:29,040
Speaker 1: But you know, if you look at the science around children,

988
00:53:29,200 --> 00:53:31,600
Speaker 1: if you look at the science around the risk for

989
00:53:32,320 --> 00:53:35,160
Speaker 1: young college kids, like the risk level is very low,

990
00:53:35,239 --> 00:53:38,560
Speaker 1: especially if you're boosted, especially with omicron omicron is you know,

991
00:53:38,680 --> 00:53:41,040
Speaker 1: a less severe disease. We know that at this point,

992
00:53:41,440 --> 00:53:44,520
Speaker 1: and we also know of the social ills and the

993
00:53:44,520 --> 00:53:47,240
Speaker 1: anxiety and increase in suicide and the increase in obesity

994
00:53:47,280 --> 00:53:49,800
Speaker 1: and all of these other things on the other side.

995
00:53:49,920 --> 00:53:56,040
Speaker 1: So these policies do not reflect the science, and you know,

996
00:53:57,440 --> 00:54:01,680
Speaker 1: they reflect paranoia they reflect virtue signaling. They reflect as

997
00:54:01,719 --> 00:54:05,719
Speaker 1: sort of like it's a it's a tribalism. It's the

998
00:54:05,800 --> 00:54:08,560
Speaker 1: liberal equivalent of you know, the people who are anti

999
00:54:08,640 --> 00:54:11,920
Speaker 1: vax and you know, anti mask and anti any of

1000
00:54:11,960 --> 00:54:14,600
Speaker 1: the sort of pandemic precautions. This is the flip side

1001
00:54:14,600 --> 00:54:18,520
Speaker 1: of that. And it's also it's also bad. It's also

1002
00:54:18,719 --> 00:54:21,360
Speaker 1: not good for society. So that's why we're taking a

1003
00:54:21,360 --> 00:54:23,680
Speaker 1: look at it. Yeah, I mean, and I agree. You know,

1004
00:54:23,760 --> 00:54:27,160
Speaker 1: I continue to think that you there is this is

1005
00:54:27,200 --> 00:54:29,200
Speaker 1: the center of gravity for a lot of the misery

1006
00:54:29,239 --> 00:54:31,000
Speaker 1: in the United States right now, and I think it's

1007
00:54:31,040 --> 00:54:35,319
Speaker 1: just being ignored. I consistently see like, oh, well, you know,

1008
00:54:35,680 --> 00:54:38,919
Speaker 1: one of the reasons why I think that any sort

1009
00:54:38,920 --> 00:54:40,920
Speaker 1: of cast transfer or any at this point would not

1010
00:54:41,000 --> 00:54:44,520
Speaker 1: do anything in order to alleviate suffering in this regard,

1011
00:54:44,520 --> 00:54:47,600
Speaker 1: I don't mean in the financial regard. It's specifically because

1012
00:54:47,600 --> 00:54:51,680
Speaker 1: the conditions of people's lives right now is both materially

1013
00:54:51,760 --> 00:54:56,520
Speaker 1: miserable but also experientially miserable. And that's not necessarily the

1014
00:54:56,560 --> 00:54:58,440
Speaker 1: case for people in the more red states or in

1015
00:54:58,520 --> 00:55:01,840
Speaker 1: more rural areas, but in the urban environment, and especially

1016
00:55:01,840 --> 00:55:04,040
Speaker 1: for the elites, maybe part of the reason so many

1017
00:55:04,040 --> 00:55:06,200
Speaker 1: of these media people coming back to our previous segment

1018
00:55:06,239 --> 00:55:09,600
Speaker 1: are miserable is because of this. I mean, life is

1019
00:55:09,760 --> 00:55:13,200
Speaker 1: crazy around here. It's difficult to describe for those of

1020
00:55:13,239 --> 00:55:15,920
Speaker 1: you who don't live in one of these mega cities.

1021
00:55:15,920 --> 00:55:19,640
Speaker 1: It's like DC or Philadelphia, New York, Chicago, San Francisco,

1022
00:55:19,840 --> 00:55:22,920
Speaker 1: and LA. Even if you go five miles out, it's

1023
00:55:22,960 --> 00:55:24,959
Speaker 1: a totally different way of life. If you go five

1024
00:55:24,960 --> 00:55:27,839
Speaker 1: miles from there, it's like COVID doesn't even exist. And

1025
00:55:28,320 --> 00:55:31,440
Speaker 1: this level of trickle down in terms of the you know,

1026
00:55:31,560 --> 00:55:35,200
Speaker 1: the restrictions and more. In every elite institution, it's driving

1027
00:55:35,239 --> 00:55:38,920
Speaker 1: them nuts. Sometimes it's applied to the blue collar workforce.

1028
00:55:39,120 --> 00:55:41,799
Speaker 1: After I tweeted out that thing, you know, people were

1029
00:55:41,840 --> 00:55:44,960
Speaker 1: contacting me all across America, but like you wouldn't believe

1030
00:55:45,080 --> 00:55:48,040
Speaker 1: my boss. You know, one guy told me that at

1031
00:55:48,080 --> 00:55:50,600
Speaker 1: his workplace, if you don't get the vaccine or whatever,

1032
00:55:50,640 --> 00:55:52,680
Speaker 1: they literally make you wear a badge that says not

1033
00:55:52,880 --> 00:55:56,600
Speaker 1: vacated on your clothes, the one you're walking around at work.

1034
00:55:56,680 --> 00:56:00,720
Speaker 1: The other thing that bugs me is so Virginia doesn't

1035
00:56:00,760 --> 00:56:05,040
Speaker 1: have indoor mask mandate. Beautiful. I love Virginia and I mean,

1036
00:56:05,120 --> 00:56:07,600
Speaker 1: this is actually interesting because you and I think you

1037
00:56:07,719 --> 00:56:10,840
Speaker 1: have had very different pandemic experiences. I live out I

1038
00:56:10,840 --> 00:56:13,120
Speaker 1: live Mountain Stix. Things are pretty normal. I mean, the

1039
00:56:13,200 --> 00:56:15,680
Speaker 1: kids do have to wear masks at school. I wish

1040
00:56:15,840 --> 00:56:18,200
Speaker 1: they didn't, and I have been worried about but they're

1041
00:56:18,200 --> 00:56:20,640
Speaker 1: not shutting down school outside of snow in King George

1042
00:56:20,640 --> 00:56:24,040
Speaker 1: County at this point. But by and large, things are

1043
00:56:24,080 --> 00:56:26,480
Speaker 1: pretty normal. People are doing what they normally do at

1044
00:56:26,520 --> 00:56:31,319
Speaker 1: this point. Very different situation living here in DC, so

1045
00:56:31,360 --> 00:56:35,319
Speaker 1: I think we've had very different situations. But one thing

1046
00:56:35,320 --> 00:56:38,040
Speaker 1: that does bug me is even though there's no indoor

1047
00:56:38,080 --> 00:56:40,480
Speaker 1: mask mandate, all of the service workers are required to

1048
00:56:40,520 --> 00:56:44,520
Speaker 1: wear masks. And I think probably there's a good number

1049
00:56:44,520 --> 00:56:46,279
Speaker 1: who would choose to wear masks just because of the

1050
00:56:46,360 --> 00:56:48,359
Speaker 1: number of interactions that they have to have in a day.

1051
00:56:48,360 --> 00:56:50,359
Speaker 1: And they should be able to choose masks if they

1052
00:56:50,400 --> 00:56:54,239
Speaker 1: want to. But I really hate this, Like servant class

1053
00:56:54,520 --> 00:56:58,640
Speaker 1: requirement that you wear your mask all day. Bezos on

1054
00:56:58,680 --> 00:57:02,840
Speaker 1: his yacht getting served everybody who was everybody unmasked except

1055
00:57:02,840 --> 00:57:05,640
Speaker 1: for the lady leading down on the yacht. See, I

1056
00:57:05,680 --> 00:57:08,719
Speaker 1: hate that. I really hate that now, And you're right though,

1057
00:57:08,920 --> 00:57:13,080
Speaker 1: you know these Chipotle guys, Starbucks, they're required in order

1058
00:57:13,160 --> 00:57:15,600
Speaker 1: to do it for the customers. You know, it's up

1059
00:57:15,600 --> 00:57:17,880
Speaker 1: in the air. Let the employees choose. I will give

1060
00:57:17,920 --> 00:57:19,880
Speaker 1: a shout out to Trader Joe's, who is the only

1061
00:57:19,920 --> 00:57:22,000
Speaker 1: place that I have noticed where they allow their employees,

1062
00:57:22,040 --> 00:57:24,720
Speaker 1: oh really not to wear a mask. Again, most of

1063
00:57:24,760 --> 00:57:26,320
Speaker 1: them do, which is fine. You know, you could do

1064
00:57:26,640 --> 00:57:29,320
Speaker 1: whatever you want. That is the only establishment that I've seen,

1065
00:57:29,360 --> 00:57:31,040
Speaker 1: even in the state of Virginia, where you know, it's

1066
00:57:31,080 --> 00:57:34,880
Speaker 1: not required, where their employees are do not have to

1067
00:57:34,920 --> 00:57:37,439
Speaker 1: wear a mask. I assume, given that it's not happening. Also,

1068
00:57:37,440 --> 00:57:39,520
Speaker 1: shout out to them. They were the first place and

1069
00:57:39,560 --> 00:57:41,800
Speaker 1: I will always patronize them for this reason who took

1070
00:57:41,800 --> 00:57:44,560
Speaker 1: away their mask mandate and said we trust our customers.

1071
00:57:44,680 --> 00:57:51,560
Speaker 1: So thank you Trader Joe's. Appreciate. Okay, so madness on

1072
00:57:51,760 --> 00:57:53,560
Speaker 1: I ninety five. As you guys all know, at this

1073
00:57:53,640 --> 00:57:58,520
Speaker 1: point this week from this stretched this backup stretched all

1074
00:57:58,560 --> 00:58:03,880
Speaker 1: the way from DC down nearly to Richmond. I mean

1075
00:58:03,920 --> 00:58:07,360
Speaker 1: this was ninety mile it was. It was eighty ninety

1076
00:58:07,440 --> 00:58:14,480
Speaker 1: miles of cars totally stuck on icy roads during this snowstorm.

1077
00:58:15,000 --> 00:58:18,120
Speaker 1: That this really like got to me because I was

1078
00:58:18,200 --> 00:58:20,400
Speaker 1: just imagining. First of all, I have driven the stretch

1079
00:58:20,440 --> 00:58:25,560
Speaker 1: of ninety five thousands and thousands of times in my life.

1080
00:58:25,640 --> 00:58:29,400
Speaker 1: This is you know, my around my area where I

1081
00:58:29,440 --> 00:58:31,440
Speaker 1: grew up and where I drive into the city and

1082
00:58:31,520 --> 00:58:34,040
Speaker 1: all of that stuff. So like I knew exactly all

1083
00:58:34,040 --> 00:58:36,760
Speaker 1: the pictures that were coming out where they were and

1084
00:58:36,800 --> 00:58:40,000
Speaker 1: what a terrible situation ultimately they must have been in.

1085
00:58:40,640 --> 00:58:43,400
Speaker 1: And of course people were really mad because they were like,

1086
00:58:43,480 --> 00:58:45,560
Speaker 1: how does this happen? I mean, yeah, it was a

1087
00:58:45,600 --> 00:58:48,840
Speaker 1: bad snowstorm, but DC and Virginia get a foot of

1088
00:58:48,880 --> 00:58:52,960
Speaker 1: snow on a fairly regular basis every couple of years. Yeah,

1089
00:58:53,000 --> 00:58:55,040
Speaker 1: I mean there's probably like three four years ago that

1090
00:58:55,120 --> 00:58:56,880
Speaker 1: we had won this bad This is not like a

1091
00:58:56,960 --> 00:59:00,400
Speaker 1: once in a lifetime kind of a situation when people

1092
00:59:00,480 --> 00:59:03,080
Speaker 1: were stuck there, Not only were they stuck there getting

1093
00:59:03,200 --> 00:59:07,920
Speaker 1: no information, getting no help, no one reaching out to

1094
00:59:07,960 --> 00:59:10,080
Speaker 1: make sure your kids are safe or that you're not

1095
00:59:10,280 --> 00:59:15,280
Speaker 1: starving or any of that for more than twenty four hours,

1096
00:59:15,880 --> 00:59:20,400
Speaker 1: pure insanity. So what was the response of the governor

1097
00:59:20,840 --> 00:59:27,080
Speaker 1: to this total total breakdown of the state. Oh, naturally,

1098
00:59:27,400 --> 00:59:30,040
Speaker 1: to blame the drivers. Let's put this up on the screen.

1099
00:59:30,680 --> 00:59:33,720
Speaker 1: Ralph Northam blames the drivers for getting on nine ninety five.

1100
00:59:33,800 --> 00:59:37,600
Speaker 1: No apologies for what was obvious government failure. We gave

1101
00:59:37,680 --> 00:59:40,000
Speaker 1: warnings and people need to pay attention to these warnings

1102
00:59:40,200 --> 00:59:42,000
Speaker 1: and less people that are on the highways when these

1103
00:59:42,000 --> 00:59:46,480
Speaker 1: storms hit the better. Look. That may be true, but

1104
00:59:46,640 --> 00:59:52,600
Speaker 1: to let yourself off the hook for abandoning these thousands

1105
00:59:53,080 --> 00:59:57,920
Speaker 1: of people in a very dangerous situation with temperatures dropping

1106
00:59:58,000 --> 01:00:02,480
Speaker 1: down into the teens night overnight, people running on at

1107
01:00:02,520 --> 01:00:06,200
Speaker 1: people don't have food, people don't have sufficient clothing, and

1108
01:00:07,000 --> 01:00:10,760
Speaker 1: you know they're freezing in their cars. This is insane.

1109
01:00:10,880 --> 01:00:13,880
Speaker 1: And what they said is that, oh, well, the problem

1110
01:00:14,080 --> 01:00:17,680
Speaker 1: was that since the storm started as rain and sleet

1111
01:00:17,800 --> 01:00:20,720
Speaker 1: and then shifted to snow, we didn't pre treat the

1112
01:00:20,840 --> 01:00:24,200
Speaker 1: roads at all because I'd just be a waste of

1113
01:00:24,480 --> 01:00:28,480
Speaker 1: the you know, the resources that it ultimately get washed away.

1114
01:00:28,920 --> 01:00:30,960
Speaker 1: And I have no doubt that the fact that it

1115
01:00:31,000 --> 01:00:34,320
Speaker 1: star has rain complicated the situation. But surely this is

1116
01:00:34,360 --> 01:00:37,960
Speaker 1: one of the busiest stretches of highway in the entire country,

1117
01:00:38,000 --> 01:00:40,760
Speaker 1: and certainly on the East coast. You have to at

1118
01:00:40,880 --> 01:00:42,760
Speaker 1: least put some stuff down and hope some of it

1119
01:00:42,840 --> 01:00:44,960
Speaker 1: sticks there, because that was the issue is once people

1120
01:00:45,000 --> 01:00:50,240
Speaker 1: got stuck, then everything was just complete ice. And even

1121
01:00:50,280 --> 01:00:52,920
Speaker 1: if they cleared out the car, the tractor trailers, that

1122
01:00:53,000 --> 01:00:55,280
Speaker 1: a jackknife at the front of the lineup and whatever

1123
01:00:55,640 --> 01:00:58,000
Speaker 1: people really could still couldn't move because it was so

1124
01:00:58,240 --> 01:01:02,880
Speaker 1: incredibly icy. So what a complete disaster and failure ultimately

1125
01:01:02,960 --> 01:01:05,120
Speaker 1: was a massive failure. You know, Senator Tim Kaine will

1126
01:01:05,160 --> 01:01:06,720
Speaker 1: put this up there on the screen. He was on

1127
01:01:06,760 --> 01:01:10,400
Speaker 1: the road for twenty seven hours. He was stuck there,

1128
01:01:11,560 --> 01:01:14,520
Speaker 1: and you know, the tales that I started to hear

1129
01:01:14,520 --> 01:01:16,480
Speaker 1: and have read about from some of these people is

1130
01:01:16,480 --> 01:01:19,640
Speaker 1: truly dystopian. There was a couple that had not eaten

1131
01:01:19,840 --> 01:01:22,760
Speaker 1: thirty hours that was stuck behind a truck and they

1132
01:01:22,840 --> 01:01:25,200
Speaker 1: noticed that the truck had bread in it. It had

1133
01:01:25,240 --> 01:01:27,360
Speaker 1: like a bread delivery thing on the side. So they

1134
01:01:27,400 --> 01:01:30,439
Speaker 1: called the customer service line and he ended up getting

1135
01:01:30,440 --> 01:01:32,640
Speaker 1: a call back from the CEO of the company, who

1136
01:01:32,720 --> 01:01:33,959
Speaker 1: was like, put me on the phone with the driver,

1137
01:01:34,040 --> 01:01:35,880
Speaker 1: and he did, and he's like opening it up and

1138
01:01:35,880 --> 01:01:38,120
Speaker 1: give food to everybody else out there. Was a very

1139
01:01:38,200 --> 01:01:40,440
Speaker 1: nice story. So this couple, you know, they went, yeah,

1140
01:01:40,440 --> 01:01:42,240
Speaker 1: but he didn't have to do that. In the government.

1141
01:01:42,840 --> 01:01:46,600
Speaker 1: They had to call his CEO calls open heartwarming, like

1142
01:01:46,840 --> 01:01:51,280
Speaker 1: ches money cancer. So you know, this couple, they're going out,

1143
01:01:51,280 --> 01:01:53,919
Speaker 1: they're handing out bread. Everybody's very thankful. But I didn't

1144
01:01:53,960 --> 01:01:56,240
Speaker 1: know this. You know, in Boston, apparently this once happened

1145
01:01:56,280 --> 01:01:59,439
Speaker 1: in the nineteen eighties. People died in their cars because

1146
01:01:59,480 --> 01:02:02,160
Speaker 1: they fell leap and their exhaust pipes actually got snowed

1147
01:02:02,160 --> 01:02:04,880
Speaker 1: over and people died of like carbon monoxide poison. Oh,

1148
01:02:05,040 --> 01:02:07,640
Speaker 1: while they weren't even sleeping. No, It's totally nuts. Wow,

1149
01:02:07,680 --> 01:02:09,760
Speaker 1: And you know people were you know, Tim Kaine said

1150
01:02:09,760 --> 01:02:11,720
Speaker 1: he would sleep where he would turn his car on

1151
01:02:11,800 --> 01:02:15,000
Speaker 1: for ten minutes, go to sleep, turn it off in

1152
01:02:15,120 --> 01:02:17,960
Speaker 1: order to save gas, then sit there for another twenty

1153
01:02:18,080 --> 01:02:20,280
Speaker 1: thirty minutes, wake up because he was freezing cold, and

1154
01:02:20,320 --> 01:02:23,520
Speaker 1: turn it on again. I mean, this is just complete

1155
01:02:23,720 --> 01:02:27,200
Speaker 1: nightmare of a situation. There was a reporter from Miami

1156
01:02:27,240 --> 01:02:29,720
Speaker 1: who was actually stuck in the middle of all this,

1157
01:02:30,080 --> 01:02:31,920
Speaker 1: and listen to him describe this. I think it was

1158
01:02:31,920 --> 01:02:34,640
Speaker 1: around hour sixteen, where he had not even seen a

1159
01:02:34,680 --> 01:02:38,360
Speaker 1: single representative like a cop. Stay. Anybody, take a listen

1160
01:02:38,360 --> 01:02:42,520
Speaker 1: to this Good morning from Interstate ninety five. The Sun

1161
01:02:42,560 --> 01:02:45,400
Speaker 1: got up about I don't know, maybe about forty five

1162
01:02:45,440 --> 01:02:51,280
Speaker 1: minutes ago. I've been stuck just south of Quantico, Virginia,

1163
01:02:51,720 --> 01:02:57,080
Speaker 1: on I ninety five for at least fifteen hours. I've

1164
01:02:57,120 --> 01:03:01,080
Speaker 1: been in the car for twenty hours, and there is

1165
01:03:01,160 --> 01:03:04,680
Speaker 1: absolutely no sign that this is gonna change anytime soon.

1166
01:03:05,640 --> 01:03:09,120
Speaker 1: This is a complete parking lot by ninety five and

1167
01:03:09,160 --> 01:03:12,880
Speaker 1: the road is just nothing but ice. Now. I don't

1168
01:03:12,920 --> 01:03:16,400
Speaker 1: know who's in charge, but somebody better do something because

1169
01:03:16,880 --> 01:03:21,360
Speaker 1: there are cars and families just trapped here this entire time,

1170
01:03:21,880 --> 01:03:24,320
Speaker 1: and nobody seems to be going. I haven't seen a

1171
01:03:24,360 --> 01:03:29,000
Speaker 1: state trooper in at least twelve hours. That's the last

1172
01:03:29,040 --> 01:03:32,240
Speaker 1: time I saw a trooper. I haven't seen a tow

1173
01:03:32,320 --> 01:03:37,720
Speaker 1: truck in at least fourteen hours. There is nothing moving

1174
01:03:37,800 --> 01:03:42,400
Speaker 1: on Interstate ninety five. It is a parking lot. Wow, okay.

1175
01:03:42,600 --> 01:03:45,520
Speaker 1: I felt it's so bad for people who had kids

1176
01:03:45,960 --> 01:03:49,200
Speaker 1: eating dog some people at their top. Yeah, yeah, I

1177
01:03:49,240 --> 01:03:52,080
Speaker 1: mean it's one thing like if you as an adult

1178
01:03:52,520 --> 01:03:55,120
Speaker 1: have to I mean, it's horrible to go a day

1179
01:03:55,160 --> 01:04:00,560
Speaker 1: without eating, but you're gonna be okay. But for kids, terrible,

1180
01:04:00,720 --> 01:04:02,880
Speaker 1: and you know, people having to go to the bathroom

1181
01:04:03,080 --> 01:04:07,200
Speaker 1: like this is just absolute nightmare. And look, I get it,

1182
01:04:07,200 --> 01:04:10,920
Speaker 1: it was challenging circumstances, but there was nothing you could do.

1183
01:04:11,320 --> 01:04:14,040
Speaker 1: You don't have any regrets about how the situation was handled.

1184
01:04:14,360 --> 01:04:18,960
Speaker 1: And then if nothing else, totally inexcusable that people were

1185
01:04:18,960 --> 01:04:23,400
Speaker 1: getting no information whatsoeverybody's got their cell phones there, you

1186
01:04:23,440 --> 01:04:25,880
Speaker 1: can send down a message, you can geo code it

1187
01:04:26,160 --> 01:04:28,760
Speaker 1: to the people who are in that area. They didn't

1188
01:04:28,800 --> 01:04:33,080
Speaker 1: do any of that, any of it. It just astonishes

1189
01:04:33,160 --> 01:04:36,120
Speaker 1: me that there's not any more sort of like you know,

1190
01:04:36,320 --> 01:04:40,800
Speaker 1: apologies forthcoming about creating this very dangerous nightmare for re people.

1191
01:04:40,800 --> 01:04:43,600
Speaker 1: I was also thinking about, you know, people who were

1192
01:04:43,640 --> 01:04:47,720
Speaker 1: having a medical issue. I mean, ambulance is trying to

1193
01:04:47,720 --> 01:04:54,120
Speaker 1: get through exactly. So I mean it's very very dangerous

1194
01:04:54,200 --> 01:04:57,360
Speaker 1: and life threatening situation. I saw Tim Kaine say, you know,

1195
01:04:57,440 --> 01:05:01,360
Speaker 1: at first, it just feels like this very frustrating, annoying situation,

1196
01:05:01,800 --> 01:05:03,440
Speaker 1: and then you sort of have to flip into like

1197
01:05:03,520 --> 01:05:07,560
Speaker 1: survival figure out how you're going to actually get through this.

1198
01:05:07,800 --> 01:05:11,880
Speaker 1: So you know, thank god it's clear now. But wow,

1199
01:05:12,120 --> 01:05:16,760
Speaker 1: no responsibility taken here whatsoever. Yeah, pretty amazing. Well, we

1200
01:05:16,760 --> 01:05:19,280
Speaker 1: don't want to miss the one most terrible media take

1201
01:05:19,320 --> 01:05:21,640
Speaker 1: of all time. Oh yeah, I insisted on this one.

1202
01:05:21,880 --> 01:05:25,160
Speaker 1: Dana Perino on Fox News has an interesting reason as

1203
01:05:25,240 --> 01:05:28,200
Speaker 1: to why exactly the police were not able to get

1204
01:05:28,200 --> 01:05:30,960
Speaker 1: the situation under control. Let's take a listen. I want

1205
01:05:30,960 --> 01:05:32,680
Speaker 1: to point out one thing that I do not believe

1206
01:05:32,720 --> 01:05:35,520
Speaker 1: has been said yet. I talked to a state legislator

1207
01:05:35,520 --> 01:05:37,960
Speaker 1: there in Virginia, and he pointed out to me that

1208
01:05:38,160 --> 01:05:41,560
Speaker 1: in the last several years, many on the left made

1209
01:05:41,560 --> 01:05:44,640
Speaker 1: the decision that local sheriffs should not be allowed to

1210
01:05:44,680 --> 01:05:48,680
Speaker 1: have military grade equipment, right because they said that that

1211
01:05:48,840 --> 01:05:52,440
Speaker 1: was a bad symbol and that it was too militaristic

1212
01:05:52,800 --> 01:05:56,440
Speaker 1: and authoritarian. But imagine if they were still allowed to

1213
01:05:56,480 --> 01:05:58,600
Speaker 1: have the equipment that they had just a few years ago,

1214
01:05:58,960 --> 01:06:02,600
Speaker 1: it probably would have come in very helpful today. What equipment?

1215
01:06:02,800 --> 01:06:07,480
Speaker 1: What are you talking about? Which military great clears the snow?

1216
01:06:08,040 --> 01:06:11,400
Speaker 1: Exactly are you suggesting here? Has Ryan Grimm put it? Yeah,

1217
01:06:11,440 --> 01:06:15,800
Speaker 1: the one thing northern Virginia is really missing home equipment. Yeah,

1218
01:06:16,200 --> 01:06:20,160
Speaker 1: dependent on defense contract. As you also pointed out right

1219
01:06:20,160 --> 01:06:23,840
Speaker 1: on ninety five is Quantico, which is like a massive

1220
01:06:23,880 --> 01:06:26,600
Speaker 1: Marine Corps base, So they could have if they wanted to.

1221
01:06:26,680 --> 01:06:29,360
Speaker 1: Actually a criticism of the governors, he did not mobilize

1222
01:06:29,360 --> 01:06:31,920
Speaker 1: a national guard, which he should have immediately in order

1223
01:06:31,920 --> 01:06:33,400
Speaker 1: to try and help these people. So I don't know

1224
01:06:33,440 --> 01:06:35,200
Speaker 1: what the hell these people are thinking. Yeah, I mean

1225
01:06:35,440 --> 01:06:39,200
Speaker 1: the dumbest it's just like, what are you saying? Perfect right,

1226
01:06:39,280 --> 01:06:42,080
Speaker 1: and there's no follow up of leg Okay, what equipment

1227
01:06:42,160 --> 01:06:43,960
Speaker 1: and what would you do with it? How would that

1228
01:06:44,000 --> 01:06:47,080
Speaker 1: help the situation? And there's even totally vague about whether

1229
01:06:47,120 --> 01:06:50,800
Speaker 1: it's even true that these police departments don't have military

1230
01:06:50,840 --> 01:06:52,479
Speaker 1: I don't even know that too true. I have no idea.

1231
01:06:52,640 --> 01:06:56,680
Speaker 1: So anyway, good example of the way that partisan brain

1232
01:06:56,720 --> 01:06:59,920
Speaker 1: worms just brought people's minds, and it's allowed to go,

1233
01:07:00,520 --> 01:07:03,040
Speaker 1: allowed to run rampant on these cable news channels. Fitting

1234
01:07:03,120 --> 01:07:05,360
Speaker 1: way to end our coverage on January or at least

1235
01:07:05,360 --> 01:07:10,680
Speaker 1: our main coverage on January sixth, Christine, what are you

1236
01:07:10,680 --> 01:07:12,520
Speaker 1: taking a look at? Well? Guys, As you know, the

1237
01:07:12,560 --> 01:07:15,360
Speaker 1: pandemic has been truly awful in a whole lot of ways.

1238
01:07:15,400 --> 01:07:17,480
Speaker 1: In the US alone, more than eight hundred thousand people

1239
01:07:17,480 --> 01:07:20,680
Speaker 1: have died. The economy was ravaged, and now a surprisingly

1240
01:07:20,720 --> 01:07:24,960
Speaker 1: strong recovering some ways has been hobbled by significant inflation.

1241
01:07:25,520 --> 01:07:28,560
Speaker 1: Our responses, individuals and communities of the pandemic have been

1242
01:07:28,600 --> 01:07:32,840
Speaker 1: thoroughly politicized. Now we wear ideological affiliations on our face

1243
01:07:32,920 --> 01:07:36,600
Speaker 1: with our masking choices. The discussion about vaccines is really

1244
01:07:36,640 --> 01:07:38,959
Speaker 1: one of the most toxic that I have ever seen.

1245
01:07:39,520 --> 01:07:44,000
Speaker 1: But we did catch one incredible break with this awful disease.

1246
01:07:44,360 --> 01:07:48,520
Speaker 1: It rarely severely impacts children. As of yesterday, per the

1247
01:07:48,560 --> 01:07:52,640
Speaker 1: CDC data, less than zero point one percent of deaths

1248
01:07:52,640 --> 01:07:54,760
Speaker 1: from COVID have been kids under the age of eighteen.

1249
01:07:55,160 --> 01:07:57,640
Speaker 1: That amounts to eight hundred and three total deaths over

1250
01:07:57,640 --> 01:08:01,040
Speaker 1: the entire length of the pandemic. Now, look, every child's life,

1251
01:08:01,040 --> 01:08:03,960
Speaker 1: of course, is precious, but we also have to consider

1252
01:08:04,040 --> 01:08:07,640
Speaker 1: that represents a tiny fraction of the overall number of

1253
01:08:07,720 --> 01:08:11,640
Speaker 1: pediatric deaths during that period. So COVID deaths are far

1254
01:08:11,720 --> 01:08:14,120
Speaker 1: less common for kids than death from car accident, death

1255
01:08:14,120 --> 01:08:18,080
Speaker 1: from drowning, death from suffocation, firearms, heart disease. They're even

1256
01:08:18,160 --> 01:08:20,520
Speaker 1: less common than death from the flu and from pneumonia.

1257
01:08:20,920 --> 01:08:24,800
Speaker 1: With omicron, this trend, thank god, has continued. Just as

1258
01:08:24,800 --> 01:08:28,760
Speaker 1: an adults, omicron is milder in kids than previous variants were.

1259
01:08:28,800 --> 01:08:31,200
Speaker 1: There's been an increase in kids who are hospitalized. Yes,

1260
01:08:31,600 --> 01:08:34,360
Speaker 1: but that results from two simple facts. One omicron is

1261
01:08:34,400 --> 01:08:37,760
Speaker 1: just so incredibly widespread, and two kids are much less

1262
01:08:37,800 --> 01:08:40,519
Speaker 1: likely than adults to be fully vaccinated when it comes

1263
01:08:40,600 --> 01:08:43,080
Speaker 1: to COVID. At this point, we know very clearly the

1264
01:08:43,200 --> 01:08:49,280
Speaker 1: kids are all right. So it is absolutely inexcusable that

1265
01:08:49,360 --> 01:08:54,280
Speaker 1: we have continued to inflict widespread, well documented, significant harm

1266
01:08:54,479 --> 01:08:57,760
Speaker 1: on our kids under the guise of protecting them from

1267
01:08:57,760 --> 01:09:00,639
Speaker 1: this pandemic. What do I mean by that, Well, major

1268
01:09:00,680 --> 01:09:03,680
Speaker 1: school districts across the country have once again shuttered, this

1269
01:09:03,880 --> 01:09:08,679
Speaker 1: time because of the omicron wave. Places like Detroit, Milwaukee, Cleveland, Newark.

1270
01:09:09,000 --> 01:09:11,559
Speaker 1: They've all shifted back to remote learning to start the

1271
01:09:11,600 --> 01:09:14,759
Speaker 1: school year to start twenty twenty two, putting their neediest

1272
01:09:14,840 --> 01:09:18,080
Speaker 1: kids at severe risk. It's not just those districts though

1273
01:09:18,120 --> 01:09:20,080
Speaker 1: you can see on this map. But while yes, the

1274
01:09:20,120 --> 01:09:23,120
Speaker 1: majority of schools are remaining open all across the country,

1275
01:09:23,160 --> 01:09:25,840
Speaker 1: there are districts switching to virtual learning. Red areas are

1276
01:09:25,840 --> 01:09:28,680
Speaker 1: in person blue as hybrid. Orange is remote, so you

1277
01:09:28,680 --> 01:09:32,120
Speaker 1: can see those patches everywhere across the country. There is

1278
01:09:32,640 --> 01:09:36,360
Speaker 1: no excuse for doing this to our kids. None. David

1279
01:09:36,439 --> 01:09:38,360
Speaker 1: leenhard Over at the Times, he laid out the data

1280
01:09:38,360 --> 01:09:41,160
Speaker 1: pretty starkly here. In a lengthy Twitter thread and accompanying article,

1281
01:09:41,560 --> 01:09:45,680
Speaker 1: he wrote, American children are starting twenty twenty two in crisis.

1282
01:09:46,000 --> 01:09:48,439
Speaker 1: I'm not sure that many people fully grasp the death

1283
01:09:48,479 --> 01:09:51,920
Speaker 1: of it. He details the catastrophic learning loss, spikes in

1284
01:09:52,000 --> 01:09:55,760
Speaker 1: mental health crises and suicide attempts. New test results make

1285
01:09:55,800 --> 01:09:59,759
Speaker 1: it extremely clear that kids have suffered devastating learning loss

1286
01:09:59,760 --> 01:10:03,639
Speaker 1: and especially poor kids performance on a national standardized test

1287
01:10:03,880 --> 01:10:07,479
Speaker 1: plummeted as compared with the pre pandemic numbers. The falloff

1288
01:10:07,560 --> 01:10:11,320
Speaker 1: was especially bad majority Black and Latino districts, kids learning

1289
01:10:11,360 --> 01:10:14,799
Speaker 1: to read and middle schooler shifting from basic math to algebra.

1290
01:10:14,840 --> 01:10:18,120
Speaker 1: Those were the people who were particularly impacted. Here. This

1291
01:10:18,240 --> 01:10:20,920
Speaker 1: match is results coming from places as disparate as Ohio,

1292
01:10:21,000 --> 01:10:24,679
Speaker 1: North Carolina, and Oklahoma, all of which have reported large

1293
01:10:24,760 --> 01:10:28,479
Speaker 1: drop offs in math and reading proficiency. But this learning

1294
01:10:28,560 --> 01:10:32,160
Speaker 1: loss might not even be the worst impact. The psychological

1295
01:10:32,240 --> 01:10:35,320
Speaker 1: damage we've done to kids into adolescents is only now

1296
01:10:35,320 --> 01:10:39,120
Speaker 1: coming into view. The American Academy of Pediatrics, they've recently

1297
01:10:39,160 --> 01:10:43,840
Speaker 1: issued a declaration of National Emergency in Child and Adolescent

1298
01:10:43,920 --> 01:10:47,839
Speaker 1: mental health. As David Leenhardt also pointed, out suicide attempts

1299
01:10:47,880 --> 01:10:52,200
Speaker 1: have risen slightly among adolescent boys and sharply among adolescent girls.

1300
01:10:52,479 --> 01:10:55,880
Speaker 1: The number of er visits for suspected suicide attempts by

1301
01:10:55,960 --> 01:10:59,240
Speaker 1: twelve to seventeen year old girls rules by fifty one

1302
01:10:59,280 --> 01:11:02,760
Speaker 1: percent from early twenty nineteen to early twenty twenty one.

1303
01:11:02,800 --> 01:11:06,360
Speaker 1: That's according to the CDC. Teachers are also reporting large

1304
01:11:06,400 --> 01:11:10,200
Speaker 1: increases in behavioral problems, things from fighting property damage to

1305
01:11:10,280 --> 01:11:12,280
Speaker 1: kids just putting their heads down on the desk and

1306
01:11:12,320 --> 01:11:15,479
Speaker 1: refusing to engage at all. And as far as little

1307
01:11:15,560 --> 01:11:18,400
Speaker 1: kids are concerned, we still have very little understanding of

1308
01:11:18,400 --> 01:11:21,040
Speaker 1: how being cut off from socialization during a key moment

1309
01:11:21,080 --> 01:11:25,160
Speaker 1: of social development might impact them for their entire lives. Look,

1310
01:11:25,640 --> 01:11:28,719
Speaker 1: I really understand why parents and teachers would be very scared.

1311
01:11:28,920 --> 01:11:31,559
Speaker 1: The media has done a terrible job of communicating the

1312
01:11:31,600 --> 01:11:35,400
Speaker 1: actual risks of this disease, and specifically the very low

1313
01:11:35,479 --> 01:11:39,479
Speaker 1: risk for children. Fear generates clicks and reassurance does not,

1314
01:11:40,000 --> 01:11:41,600
Speaker 1: or at least that seems to be the assumption of

1315
01:11:41,640 --> 01:11:43,680
Speaker 1: the mainstream press, although the fact that their ratings and

1316
01:11:43,680 --> 01:11:46,160
Speaker 1: clicks have fallen off a cliff might suggest it's time

1317
01:11:46,240 --> 01:11:50,160
Speaker 1: to reassess some of those assumptions, But I digress. David

1318
01:11:50,240 --> 01:11:52,880
Speaker 1: Leenhardt's own outlet has done its fair share of favor

1319
01:11:52,920 --> 01:11:56,280
Speaker 1: bodering here, publishing multiple pieces about what has turned out

1320
01:11:56,320 --> 01:12:00,400
Speaker 1: to be a rare occurrence long COVID in kids. This

1321
01:12:00,439 --> 01:12:03,679
Speaker 1: particular piece enraged me so much I did a whole

1322
01:12:03,720 --> 01:12:07,000
Speaker 1: monologue on it titled this is really scary Kids struggle

1323
01:12:07,040 --> 01:12:10,360
Speaker 1: with long COVID. Lingering physical, mental, and neurological symptoms are

1324
01:12:10,400 --> 01:12:13,519
Speaker 1: affecting children as well as adults, including many who had

1325
01:12:13,560 --> 01:12:17,080
Speaker 1: mild reactions to the initial coronavirus infection that's the one

1326
01:12:17,120 --> 01:12:20,880
Speaker 1: up on the screen right now. In fact, many kids

1327
01:12:20,920 --> 01:12:23,799
Speaker 1: did not struggle with long COVID. Research from the University

1328
01:12:23,800 --> 01:12:25,960
Speaker 1: of Minnesota found that fewer than one in twenty kids

1329
01:12:26,000 --> 01:12:29,360
Speaker 1: with COVID had symptoms lasting longer than four weeks. By

1330
01:12:29,400 --> 01:12:33,519
Speaker 1: eight weeks time, nearly all had fully recovered. I don't

1331
01:12:33,560 --> 01:12:36,400
Speaker 1: doubt that there are many well meaning people who are

1332
01:12:36,479 --> 01:12:39,960
Speaker 1: freaked out by this COVID porn news who truly believe

1333
01:12:40,000 --> 01:12:42,879
Speaker 1: that closing schools is the right choice to best protect

1334
01:12:42,880 --> 01:12:46,160
Speaker 1: our kids. But the science on this could not possibly

1335
01:12:46,200 --> 01:12:49,280
Speaker 1: be more clear. If you are closing schools, you are

1336
01:12:49,320 --> 01:12:52,760
Speaker 1: not protecting kids, you're hurting them. The only people who

1337
01:12:52,760 --> 01:12:55,679
Speaker 1: are protected by such decisions are the adults who refuse

1338
01:12:55,760 --> 01:12:58,240
Speaker 1: to get vaccinated. And if they don't care enough to

1339
01:12:58,280 --> 01:13:02,160
Speaker 1: protect themselves, why guys, would we sacrifice the well being

1340
01:13:02,200 --> 01:13:05,240
Speaker 1: of our kids to their benefit. I know districts will

1341
01:13:05,240 --> 01:13:08,280
Speaker 1: face challenges dealing with staffing shortages as adults call out

1342
01:13:08,360 --> 01:13:12,000
Speaker 1: sick with COVID, but it should be a national priority

1343
01:13:12,360 --> 01:13:15,960
Speaker 1: to protect our kids and at all costs, stops sacrificing

1344
01:13:15,960 --> 01:13:18,880
Speaker 1: their well being to the failures and neuroses of the

1345
01:13:18,920 --> 01:13:21,519
Speaker 1: grown ups. And that is the thing, Saga at this point,

1346
01:13:21,520 --> 01:13:24,000
Speaker 1: it is inexcusable, and I've said it so many times

1347
01:13:24,040 --> 01:13:26,320
Speaker 1: at the beginning of COVID. And if you want to

1348
01:13:26,320 --> 01:13:29,639
Speaker 1: hear my reaction to Crystal's monologue, become a premium subscriber

1349
01:13:29,720 --> 01:13:35,519
Speaker 1: today at Breakingpoints dot Com. All right, Saga, what are

1350
01:13:35,560 --> 01:13:37,880
Speaker 1: you looking at? Well? One of the most discussing things

1351
01:13:37,920 --> 01:13:40,680
Speaker 1: about politicians is they talk a big game, They make

1352
01:13:40,680 --> 01:13:43,439
Speaker 1: big promises, and they announce policies and even say that

1353
01:13:43,479 --> 01:13:46,080
Speaker 1: they're implementing them. Then they get a press conference, everybody

1354
01:13:46,120 --> 01:13:48,800
Speaker 1: claps says job well done. Six months though, or a

1355
01:13:48,840 --> 01:13:50,960
Speaker 1: year later, when it actually comes time to see what

1356
01:13:51,160 --> 01:13:54,960
Speaker 1: actually happened, the answer is usually nothing and worse. It's

1357
01:13:55,040 --> 01:13:59,040
Speaker 1: usually worse than useless. No policy area in Washington signifies

1358
01:13:59,080 --> 01:14:02,280
Speaker 1: this more than China, and especially trade with China. Donald

1359
01:14:02,280 --> 01:14:04,400
Speaker 1: Trump was elected with the promise of a trade war

1360
01:14:04,479 --> 01:14:07,360
Speaker 1: on China, and to his credit, he did implement it

1361
01:14:07,479 --> 01:14:10,400
Speaker 1: for a little while, and then in twenty twenty, facing

1362
01:14:10,640 --> 01:14:13,320
Speaker 1: enormous pressure from the business community and his own staff

1363
01:14:13,439 --> 01:14:15,760
Speaker 1: who never really believed in what he said anyways, he

1364
01:14:15,920 --> 01:14:19,240
Speaker 1: cut a deal with the Chinese to remove tariffs on

1365
01:14:19,280 --> 01:14:22,320
Speaker 1: their economy in exchange for a promise by them to

1366
01:14:22,439 --> 01:14:25,880
Speaker 1: buy two hundred billion dollars of American goods over the

1367
01:14:25,920 --> 01:14:29,519
Speaker 1: next two years, most of those goods being soybeans. It

1368
01:14:29,600 --> 01:14:32,559
Speaker 1: was actually a pretty terrible deal. It didn't rectify our

1369
01:14:32,600 --> 01:14:36,280
Speaker 1: trade in balance with China at all, didn't reclaim damages

1370
01:14:36,320 --> 01:14:39,000
Speaker 1: from trillions of dollars in IP theft, and it continued

1371
01:14:39,000 --> 01:14:42,240
Speaker 1: to sell out American farmers and workers decimated by China

1372
01:14:42,280 --> 01:14:44,760
Speaker 1: in the two thousands. But Trump was facing reelection and

1373
01:14:44,800 --> 01:14:46,720
Speaker 1: it was obviously good in the short term for the

1374
01:14:46,760 --> 01:14:50,040
Speaker 1: stock market and sympathetic farmers who he signed it. So

1375
01:14:50,320 --> 01:14:53,040
Speaker 1: he hailed it as a victory, even though any serious

1376
01:14:53,040 --> 01:14:55,080
Speaker 1: person thought it was actually a pretty dumb idea at

1377
01:14:55,120 --> 01:14:58,600
Speaker 1: the time. Within eight months of implementing that deal, it

1378
01:14:58,720 --> 01:15:01,479
Speaker 1: was obvious that the China were not living up to

1379
01:15:01,520 --> 01:15:03,559
Speaker 1: what they said that they were going to do. In fact,

1380
01:15:03,600 --> 01:15:06,439
Speaker 1: by September of twenty twenty, they had reached only fifty

1381
01:15:06,439 --> 01:15:09,640
Speaker 1: three percent of its promises, and in late October of

1382
01:15:09,680 --> 01:15:13,439
Speaker 1: twenty twenty, Chinese imports of US goods were actually lower

1383
01:15:13,600 --> 01:15:16,599
Speaker 1: than before the trade war. This started in twenty eighteen.

1384
01:15:16,840 --> 01:15:19,280
Speaker 1: Now look to be fair. That was during COVID, but

1385
01:15:19,360 --> 01:15:21,680
Speaker 1: since then it's been more than a year, and the

1386
01:15:21,680 --> 01:15:25,360
Speaker 1: deal is set to expire tomorrow. Guess what, Yeah, they

1387
01:15:25,360 --> 01:15:27,599
Speaker 1: actually lied as usual and they didn't do what they

1388
01:15:27,640 --> 01:15:29,519
Speaker 1: said they were going to do. If Trump was as

1389
01:15:29,560 --> 01:15:31,360
Speaker 1: tough as he said he was, he would have easily

1390
01:15:31,360 --> 01:15:35,160
Speaker 1: predicted this. But I digress. Now, tomorrow, when the deal expires,

1391
01:15:35,400 --> 01:15:38,919
Speaker 1: China will have fallen short. By listen to this, seventeen

1392
01:15:38,960 --> 01:15:42,559
Speaker 1: percent on its agricultural commitments, forty one percent on its

1393
01:15:42,560 --> 01:15:47,160
Speaker 1: manufacturing commitments, and sixty two percent on its energy purchasing commitments.

1394
01:15:47,439 --> 01:15:50,040
Speaker 1: It is clear as day that they did not even try.

1395
01:15:50,320 --> 01:15:53,479
Speaker 1: So they you know, blamed the pandemic. They saw our chaos,

1396
01:15:53,520 --> 01:15:55,960
Speaker 1: and domestically they just thought, screw it, We'll just call

1397
01:15:56,000 --> 01:15:58,880
Speaker 1: their bluff. That's now the choice that Joe Biden face

1398
01:15:59,000 --> 01:16:02,280
Speaker 1: us right now. Inside the agreement between the US and

1399
01:16:02,360 --> 01:16:05,360
Speaker 1: China is a dispute clause where the United States can

1400
01:16:05,400 --> 01:16:09,920
Speaker 1: compel China to make additional purchases by applying new tariffs

1401
01:16:09,960 --> 01:16:12,439
Speaker 1: and to raise revenues on the goods that they said

1402
01:16:12,439 --> 01:16:14,760
Speaker 1: they would buy. Now, as you can guess, the US

1403
01:16:14,880 --> 01:16:18,320
Speaker 1: business community, the enemies of actual American workers and farmers,

1404
01:16:18,560 --> 01:16:21,719
Speaker 1: is now raising hell to push exactly this. They're basically

1405
01:16:21,760 --> 01:16:24,639
Speaker 1: telling Biden. Look, man, it was just a crazy year.

1406
01:16:25,040 --> 01:16:28,120
Speaker 1: Just give the Chinese a pass. Just ignore it. Literally,

1407
01:16:28,160 --> 01:16:30,960
Speaker 1: their advice is to ignore the terms of the agreement

1408
01:16:31,000 --> 01:16:33,759
Speaker 1: that we signed and move on, because then the Chinese

1409
01:16:33,800 --> 01:16:36,519
Speaker 1: would have to pay higher prices. And right now, all

1410
01:16:36,560 --> 01:16:39,040
Speaker 1: the very highly paid people who watch the space tell

1411
01:16:39,040 --> 01:16:42,680
Speaker 1: the Wall Street Journal quote trade analysts say it's unlikely

1412
01:16:42,880 --> 01:16:45,720
Speaker 1: Biden would escalate tensions with China as he seeks to

1413
01:16:45,760 --> 01:16:50,120
Speaker 1: tame inflation and advance his domestic agenda. Look, there's always

1414
01:16:50,160 --> 01:16:53,120
Speaker 1: a reason not to screw with big business. But it

1415
01:16:53,160 --> 01:16:55,720
Speaker 1: is pretty freak and simple. We had a deal and

1416
01:16:55,760 --> 01:16:58,920
Speaker 1: they broke it. It's the latest in every single international

1417
01:16:58,920 --> 01:17:02,439
Speaker 1: trade agreement that Bese has ever signed. Trump was the

1418
01:17:02,479 --> 01:17:06,240
Speaker 1: first president in modern American history to actually just enforce

1419
01:17:06,600 --> 01:17:10,679
Speaker 1: basic fairness in the trading system. Biden now has a choice.

1420
01:17:10,800 --> 01:17:13,120
Speaker 1: He can return to the pansy footing of the pass

1421
01:17:13,280 --> 01:17:15,639
Speaker 1: and he can let this country get wholesale looted by

1422
01:17:15,680 --> 01:17:18,479
Speaker 1: our business community and the Chinese elites who laugh at

1423
01:17:18,560 --> 01:17:21,320
Speaker 1: us daily in Beijing, or he can grow a pair

1424
01:17:21,320 --> 01:17:23,880
Speaker 1: and he can actually put tariffs on now. There is

1425
01:17:24,000 --> 01:17:26,920
Speaker 1: always a reason not to stand up and rebuild America.

1426
01:17:27,040 --> 01:17:29,320
Speaker 1: In fact, I see it daily on Twitter when I

1427
01:17:29,360 --> 01:17:31,880
Speaker 1: see so called economic experts say that the best way

1428
01:17:31,920 --> 01:17:35,559
Speaker 1: to tamp down inflation is reduced tariffs. Yeah, maybe the

1429
01:17:35,560 --> 01:17:38,840
Speaker 1: price will drop tomorrow, What about the next pandemic or

1430
01:17:38,880 --> 01:17:42,120
Speaker 1: global shipping crisis? Should we be just as vulnerable? Then

1431
01:17:42,680 --> 01:17:46,240
Speaker 1: that is what they are saying. Make no mistake, American

1432
01:17:46,360 --> 01:17:48,519
Speaker 1: greed is the reason that we are bent over a

1433
01:17:48,560 --> 01:17:51,519
Speaker 1: barrel in the first place. As Ryan Peterson, he's the

1434
01:17:51,560 --> 01:17:54,599
Speaker 1: CEO of Flexport, a supply chain expert. He recently said

1435
01:17:54,600 --> 01:17:57,479
Speaker 1: this in an interview. Quote what's caused all this, the

1436
01:17:57,479 --> 01:18:01,679
Speaker 1: supply chain bottlenecks is modern finance, this obsession with return

1437
01:18:01,840 --> 01:18:06,719
Speaker 1: on equity. To show great Roe, almost every CEO stripped

1438
01:18:06,720 --> 01:18:10,360
Speaker 1: their company of all but bare minimum of assets just

1439
01:18:10,439 --> 01:18:15,799
Speaker 1: in time, everything with no excess capacity, no strategic reserves,

1440
01:18:16,080 --> 01:18:19,560
Speaker 1: no cash on balance sheets. We stripped the shock absorbers

1441
01:18:19,600 --> 01:18:23,400
Speaker 1: out of the economy in pursuit of better short term metrics.

1442
01:18:23,720 --> 01:18:27,080
Speaker 1: Large businesses are supposed to be more stable and resilient

1443
01:18:27,120 --> 01:18:31,000
Speaker 1: than small ones. However, the obsession with ROE means that

1444
01:18:31,160 --> 01:18:34,519
Speaker 1: no company was prepared for the inevitable one hundred year storm.

1445
01:18:34,760 --> 01:18:37,680
Speaker 1: When we stripped ourselves of parts, the Chinese were very

1446
01:18:37,720 --> 01:18:41,080
Speaker 1: happy to pick up the scraps. They took our losses

1447
01:18:41,240 --> 01:18:45,200
Speaker 1: for decades in order to build capacity, and now in

1448
01:18:45,240 --> 01:18:48,200
Speaker 1: a time of crisis, they know they can laugh in

1449
01:18:48,240 --> 01:18:51,800
Speaker 1: our face by signing a fake agreement and probably face

1450
01:18:51,920 --> 01:18:55,000
Speaker 1: no consequences. That the music is not going to stop,

1451
01:18:55,200 --> 01:18:57,400
Speaker 1: but it will stop one day, one way or the other.

1452
01:18:57,680 --> 01:19:00,479
Speaker 1: It can stop when we become a defunct nation capable

1453
01:19:00,520 --> 01:19:02,760
Speaker 1: of producing anything in a time of crisis, with a

1454
01:19:02,800 --> 01:19:07,439
Speaker 1: geopolitical advertisary that controls the entire global economy, or we

1455
01:19:07,479 --> 01:19:09,960
Speaker 1: can at least take care of ourselves. It's a truly

1456
01:19:10,000 --> 01:19:13,840
Speaker 1: binary choice. Those that are advocating against this sensible choice

1457
01:19:14,000 --> 01:19:16,960
Speaker 1: are the richest, most powerful people in America today. I

1458
01:19:17,000 --> 01:19:20,880
Speaker 1: am under no illusion Biden will do nothing. Nobody except

1459
01:19:20,920 --> 01:19:23,880
Speaker 1: a few nerds like myself will frankly even notice. But

1460
01:19:23,920 --> 01:19:26,640
Speaker 1: the rich people will, and then that'll be it. The

1461
01:19:26,680 --> 01:19:30,400
Speaker 1: status quo almost always will win. But pay attention. It'llly here,

1462
01:19:30,479 --> 01:19:33,280
Speaker 1: at least to the particulars, because one day we will

1463
01:19:33,280 --> 01:19:36,360
Speaker 1: be in a situation, probably worse than we are right now,

1464
01:19:36,520 --> 01:19:39,080
Speaker 1: and we will come to understand the consequences of letting

1465
01:19:39,120 --> 01:19:41,599
Speaker 1: us all be sold out to the altar of corporate greed.

1466
01:19:41,880 --> 01:19:45,400
Speaker 1: This is another classic. We signed the deal, they don't

1467
01:19:45,439 --> 01:19:47,439
Speaker 1: live up to the deal. First of all, Trump is

1468
01:19:47,479 --> 01:19:49,720
Speaker 1: the blame for putting it. And if you want to

1469
01:19:49,760 --> 01:19:53,360
Speaker 1: hear my reaction to Sager's monologue, become a premium subscriber

1470
01:19:53,400 --> 01:19:59,200
Speaker 1: today at Breakingpoints dot Com. Joining us now we have

1471
01:19:59,240 --> 01:20:02,720
Speaker 1: Pulitzer Prize journalists, the one and only Glenn Greenwald. Of course,

1472
01:20:02,720 --> 01:20:06,080
Speaker 1: you guys know us on substack as well as Rumble

1473
01:20:06,120 --> 01:20:07,880
Speaker 1: and a bunch of other platforms. Where do you mostly

1474
01:20:07,920 --> 01:20:11,360
Speaker 1: want people to follow you? At this point, Glenn, Yeah,

1475
01:20:11,400 --> 01:20:13,920
Speaker 1: the writing is on Substack. I do video reports on Rumble,

1476
01:20:13,960 --> 01:20:17,559
Speaker 1: and then there's a new podcast app called Colin which

1477
01:20:17,560 --> 01:20:19,439
Speaker 1: a bunch of people like Brianna Droi Gray and Matt

1478
01:20:19,439 --> 01:20:21,840
Speaker 1: Taibi and many others are using. So any of those

1479
01:20:21,880 --> 01:20:24,959
Speaker 1: platforms will do, and also of course my frequent appearances

1480
01:20:24,960 --> 01:20:28,280
Speaker 1: here on Breaking Point. Yeah, you do really the Rumble

1481
01:20:28,840 --> 01:20:31,559
Speaker 1: like video segments. I love those are really good. I

1482
01:20:31,600 --> 01:20:33,599
Speaker 1: know you put a lot of time and effort into those,

1483
01:20:33,680 --> 01:20:36,880
Speaker 1: and that's not you know, I guess I uh, maybe

1484
01:20:36,960 --> 01:20:39,000
Speaker 1: have added respect for it because it's similar to what

1485
01:20:39,040 --> 01:20:41,479
Speaker 1: we do. Something will like personally like, oh, he's doing

1486
01:20:41,479 --> 01:20:46,240
Speaker 1: a good job at that thing. Anyway, you wanted to

1487
01:20:46,240 --> 01:20:50,520
Speaker 1: bring you on to focus in particular on the dangers

1488
01:20:50,640 --> 01:20:55,080
Speaker 1: of how one six has been weaponized to further the

1489
01:20:55,200 --> 01:20:58,120
Speaker 1: interest of the security State, because in a lot of ways,

1490
01:20:58,120 --> 01:21:00,320
Speaker 1: I mean, one six was like a dramatic failure in

1491
01:21:00,400 --> 01:21:03,840
Speaker 1: terms of being able to protect the capital and keep

1492
01:21:03,880 --> 01:21:08,360
Speaker 1: people land, keep the barricades up. So this massive failure

1493
01:21:08,400 --> 01:21:11,640
Speaker 1: for the security State that they then, as they always do,

1494
01:21:11,720 --> 01:21:15,240
Speaker 1: somehow turn around and use to make themselves only stronger.

1495
01:21:15,320 --> 01:21:19,719
Speaker 1: So was hoping you could lay on some of those implications. Sure,

1496
01:21:19,840 --> 01:21:24,480
Speaker 1: so my reference point for the overall dynamic you're describing,

1497
01:21:24,600 --> 01:21:28,880
Speaker 1: in which some event takes place that produces a justifiable

1498
01:21:28,960 --> 01:21:31,679
Speaker 1: level if you're in the population, which is then seized

1499
01:21:31,760 --> 01:21:35,519
Speaker 1: upon by authorities and centers of power in order to

1500
01:21:35,560 --> 01:21:39,400
Speaker 1: exploit and augment that fear more and more as the

1501
01:21:39,479 --> 01:21:42,120
Speaker 1: days and months pass from that event, in order to

1502
01:21:42,160 --> 01:21:46,080
Speaker 1: gain more power for themselves. Obviously, for me at least

1503
01:21:46,160 --> 01:21:50,320
Speaker 1: is based in my experience doing reporting on an analysis

1504
01:21:50,360 --> 01:21:53,360
Speaker 1: of the First War on Terror, which was very similar.

1505
01:21:53,439 --> 01:21:56,000
Speaker 1: There was obviously a traumatic event, which is the nine

1506
01:21:56,000 --> 01:21:58,240
Speaker 1: to eleven attack that killed three thousand Americans on the

1507
01:21:58,280 --> 01:22:02,519
Speaker 1: same day. Is never any mash casualty attack anywhere close

1508
01:22:02,560 --> 01:22:06,280
Speaker 1: to it up until this very moment twenty years later.

1509
01:22:06,760 --> 01:22:10,760
Speaker 1: And yet so many of the quote unquote temporary measures

1510
01:22:10,840 --> 01:22:13,760
Speaker 1: adopted in its name, such as the Patriot Act and

1511
01:22:13,800 --> 01:22:17,200
Speaker 1: a whole variety of other spying and detention powers, remain

1512
01:22:17,360 --> 01:22:21,439
Speaker 1: not just embedded as though it happened a month ago

1513
01:22:21,520 --> 01:22:24,240
Speaker 1: rather than twenty years ago, but they've been expanded wildly

1514
01:22:24,320 --> 01:22:28,680
Speaker 1: beyond their original intent. And for years that was the strategy,

1515
01:22:28,840 --> 01:22:32,080
Speaker 1: was to constantly remind people of how visceral. Those fears

1516
01:22:32,080 --> 01:22:35,679
Speaker 1: were because fear is a very strong motivating factor for humans,

1517
01:22:36,280 --> 01:22:40,240
Speaker 1: knowing that the more ethereal or abstract concerns on the

1518
01:22:40,240 --> 01:22:42,800
Speaker 1: other side of the latter, the erosion of civil liberties,

1519
01:22:43,439 --> 01:22:47,599
Speaker 1: the invasion of privacy, the breakdown of due process, are

1520
01:22:47,680 --> 01:22:51,120
Speaker 1: much more abstract and distant concerns, but are often no

1521
01:22:51,280 --> 01:22:55,599
Speaker 1: match for reminding people of three thousand dead Americans buried

1522
01:22:55,680 --> 01:22:58,800
Speaker 1: under a huge pile of rubble. So that is very

1523
01:22:58,880 --> 01:23:02,599
Speaker 1: much the similar dynamic. I think we see that with COVID,

1524
01:23:02,640 --> 01:23:05,200
Speaker 1: by the way, as well, where you talk about people

1525
01:23:05,240 --> 01:23:07,519
Speaker 1: dying in the hospital, and nothing can compete with that

1526
01:23:08,040 --> 01:23:11,639
Speaker 1: in terms of the costs, whether it's children being out

1527
01:23:11,680 --> 01:23:14,000
Speaker 1: of school for two years, in mental health, crises from

1528
01:23:14,040 --> 01:23:17,040
Speaker 1: isolation and lockdown, that just seem less visceral. The same

1529
01:23:17,120 --> 01:23:21,639
Speaker 1: is true here. Everybody saw the footage. Everybody agrees who's decent,

1530
01:23:21,800 --> 01:23:24,439
Speaker 1: that those were horrible things to watch. We never want

1531
01:23:24,439 --> 01:23:27,880
Speaker 1: political violence in our politics, but the attempt to keep

1532
01:23:27,920 --> 01:23:32,840
Speaker 1: it in perspective has been almost impossible, given the concerted

1533
01:23:32,880 --> 01:23:36,400
Speaker 1: effort to exploit the emotions surrounding January sixth and to

1534
01:23:36,439 --> 01:23:39,280
Speaker 1: turn it into something that it never was. An attempted coup,

1535
01:23:39,760 --> 01:23:43,080
Speaker 1: an insurrection, as though a thousand Trump supporters got anywhere

1536
01:23:43,080 --> 01:23:47,280
Speaker 1: close to overthrowing the most militarized, armed and powerful government

1537
01:23:47,280 --> 01:23:50,240
Speaker 1: in the history of mankind, and obviously this week as

1538
01:23:50,280 --> 01:23:53,200
Speaker 1: an effort to rejuvenate that exploitation. Well, that's what you

1539
01:23:53,240 --> 01:23:56,479
Speaker 1: always point to, Glenn, in terms of the actual record

1540
01:23:56,520 --> 01:24:00,240
Speaker 1: of this whenever it comes to the justice system. Lay

1541
01:24:00,240 --> 01:24:03,360
Speaker 1: that out for us of what one year later, as

1542
01:24:03,360 --> 01:24:06,479
Speaker 1: we assess it relative to the crackdown of people's lives

1543
01:24:06,479 --> 01:24:10,479
Speaker 1: and the actual militarization of Washington, DC, the shutdown of

1544
01:24:10,520 --> 01:24:13,880
Speaker 1: the presidential inauguration, They turned our city into a legit

1545
01:24:14,040 --> 01:24:17,400
Speaker 1: green zone for months. One year later, what do we

1546
01:24:17,439 --> 01:24:19,599
Speaker 1: know about the prosecutions in the way that the government

1547
01:24:19,600 --> 01:24:23,200
Speaker 1: has responded to this in an official manner. So I'll

1548
01:24:23,240 --> 01:24:25,599
Speaker 1: just use a different frame of reference just to set

1549
01:24:25,640 --> 01:24:28,440
Speaker 1: the groundwork for that, which is the Russia Gate investigation.

1550
01:24:28,640 --> 01:24:32,680
Speaker 1: For years, we were told that there was rampant criminality

1551
01:24:32,680 --> 01:24:34,320
Speaker 1: on the part of the Trump campaign and then the

1552
01:24:34,360 --> 01:24:38,240
Speaker 1: Trump administration for having criminally conspired with the Kremlin. There

1553
01:24:38,240 --> 01:24:40,040
Speaker 1: was a lot of debate about whether that happened. They

1554
01:24:40,040 --> 01:24:44,080
Speaker 1: got a prosecutor everyone trusted Robert Mueller to lead an

1555
01:24:44,080 --> 01:24:47,880
Speaker 1: eighteen month probe with a huge team of prosecutors who

1556
01:24:47,880 --> 01:24:51,080
Speaker 1: were heralded as the most talented and aggressive and unlimited

1557
01:24:51,080 --> 01:24:53,599
Speaker 1: amount of funds a poena power, and at the end

1558
01:24:53,600 --> 01:24:57,200
Speaker 1: of the process, a grand total of zero American zero

1559
01:24:58,439 --> 01:25:03,280
Speaker 1: was charged with and convicted of the original crime that

1560
01:25:03,400 --> 01:25:06,680
Speaker 1: was alleged, which was criminally conspiring with the Kremlin to

1561
01:25:06,720 --> 01:25:09,360
Speaker 1: interfere in the twenty sixteen election. Not one single American

1562
01:25:09,439 --> 01:25:11,960
Speaker 1: was even charged with that because, according to the Moller investigation,

1563
01:25:12,000 --> 01:25:15,360
Speaker 1: they couldn't find evidence establishing that crime was committed, and

1564
01:25:15,400 --> 01:25:18,599
Speaker 1: yet it didn't remotely deter even to this day people

1565
01:25:18,600 --> 01:25:21,760
Speaker 1: from alleging that happened exactly the same thing Sagar is

1566
01:25:21,800 --> 01:25:25,480
Speaker 1: happening here. I don't know why media outlets feel entitled

1567
01:25:26,040 --> 01:25:29,520
Speaker 1: to refer to the January sixth riot as an insurrection,

1568
01:25:29,800 --> 01:25:32,760
Speaker 1: as though there's no debate about it, when we are

1569
01:25:32,840 --> 01:25:36,200
Speaker 1: now a full year into what the FBI itself heralds

1570
01:25:36,560 --> 01:25:40,519
Speaker 1: as the largest law enforcement operation in the history of

1571
01:25:40,560 --> 01:25:43,679
Speaker 1: the FBI. Seven hundred people or more are now charged

1572
01:25:43,680 --> 01:25:47,160
Speaker 1: with the crime in association with January sixth. Not a

1573
01:25:47,240 --> 01:25:50,599
Speaker 1: single one, not one of those people has been charged

1574
01:25:50,640 --> 01:25:55,639
Speaker 1: with insurrection and citing our insurrection, attempting to overthrow the governments, sedition, treason.

1575
01:25:56,160 --> 01:25:59,519
Speaker 1: They're all just common crimes of trespassing or violent assault

1576
01:25:59,520 --> 01:26:04,320
Speaker 1: for the ones these biolins interrupting government procedures processes. So

1577
01:26:04,479 --> 01:26:08,479
Speaker 1: if this were actually an insurrection or a seditious act

1578
01:26:08,560 --> 01:26:11,720
Speaker 1: or a coup, why is the Justice Department under the

1579
01:26:11,720 --> 01:26:15,719
Speaker 1: control of the Biden administration, not William Barr or Donald Trump,

1580
01:26:16,240 --> 01:26:19,080
Speaker 1: not charging anybody with what those crimes are that are

1581
01:26:19,120 --> 01:26:21,599
Speaker 1: alleged to have taken place. They're charging them with very

1582
01:26:21,640 --> 01:26:25,280
Speaker 1: common crimes that happened in protest and riots instead, because

1583
01:26:25,280 --> 01:26:28,799
Speaker 1: that's what that event was. You know, It's interesting because

1584
01:26:29,280 --> 01:26:32,400
Speaker 1: I see really now for the first time a significant

1585
01:26:32,439 --> 01:26:35,479
Speaker 1: number of liberals online who are upset about this, who

1586
01:26:35,520 --> 01:26:39,439
Speaker 1: are angry at Merrick Garland, who feel like, where are like,

1587
01:26:39,880 --> 01:26:42,000
Speaker 1: why do we just have these low level crimes that

1588
01:26:42,040 --> 01:26:45,400
Speaker 1: are being charged and these you know, low level actors

1589
01:26:45,680 --> 01:26:48,360
Speaker 1: who aren't at the high level. Where are the big charges,

1590
01:26:48,520 --> 01:26:51,240
Speaker 1: Where's the big revelation of the plot that we've kind

1591
01:26:51,240 --> 01:26:56,120
Speaker 1: of been led to believe should be forthcoming by the

1592
01:26:56,240 --> 01:26:59,600
Speaker 1: leaders that we ultimately trust. So I kind of understand

1593
01:26:59,640 --> 01:27:03,200
Speaker 1: why they feel angry right now that they haven't gotten

1594
01:27:03,280 --> 01:27:07,280
Speaker 1: what they ultimately were promised by this narrative. I totally agree,

1595
01:27:07,520 --> 01:27:09,960
Speaker 1: and again it's the same thing that happened in Rushigate. Remember,

1596
01:27:10,360 --> 01:27:12,519
Speaker 1: for three years, nobody was allowed to speak ill of

1597
01:27:12,600 --> 01:27:15,120
Speaker 1: Robert Muller. We weren't allowed to remind people that he

1598
01:27:15,200 --> 01:27:17,120
Speaker 1: was the one who went before Congress as the FBI

1599
01:27:17,200 --> 01:27:20,400
Speaker 1: Director and assured the Congress that they had definitive evidence

1600
01:27:20,400 --> 01:27:23,400
Speaker 1: that Saddam Hussein had nucriant biological weapons. We weren't supposed

1601
01:27:23,439 --> 01:27:25,880
Speaker 1: to overmind anybody that he was the one who oversaw

1602
01:27:26,240 --> 01:27:28,599
Speaker 1: the rounding up of Muslims after nine to eleven without

1603
01:27:28,640 --> 01:27:30,880
Speaker 1: due process, because to do so was to impune the

1604
01:27:30,880 --> 01:27:32,920
Speaker 1: integrity of the brave men and women in the FBI

1605
01:27:33,160 --> 01:27:35,479
Speaker 1: who keep us safe. There was a prohibition on treating

1606
01:27:35,560 --> 01:27:37,479
Speaker 1: him as anything other than the hero. And then suddenly,

1607
01:27:37,520 --> 01:27:40,719
Speaker 1: when he didn't deliver, when he closed an investigation without

1608
01:27:41,120 --> 01:27:43,840
Speaker 1: frog marching Donald Trump and Alanka Trump and Donald Trump

1609
01:27:43,880 --> 01:27:46,240
Speaker 1: Junior and Steve Bannon out of the White House and

1610
01:27:46,320 --> 01:27:50,080
Speaker 1: Jared Kushner, whoever their fantasies were, then suddenly everyone turned

1611
01:27:50,120 --> 01:27:52,240
Speaker 1: on him, and in fact Adam Shipp and his book

1612
01:27:52,280 --> 01:27:55,360
Speaker 1: basically said that Robert Muller was senile because they needed

1613
01:27:55,400 --> 01:27:56,640
Speaker 1: It's like a you know, it's kind of like an

1614
01:27:56,680 --> 01:28:00,240
Speaker 1: apocalyptic cult. If you keep promising everyone that doom Day

1615
01:28:00,320 --> 01:28:02,240
Speaker 1: is coming on a specific date and then it doesn't happen,

1616
01:28:02,320 --> 01:28:04,400
Speaker 1: you have to provide an explanation about why it didn't

1617
01:28:04,439 --> 01:28:07,759
Speaker 1: to keep the flock believing the same thing has happened here.

1618
01:28:08,000 --> 01:28:11,040
Speaker 1: They kept promising, you know, that Merrick Arland is going

1619
01:28:11,080 --> 01:28:13,240
Speaker 1: to come in not even one sixth, but that they

1620
01:28:13,240 --> 01:28:16,280
Speaker 1: were going to prosecute Trump and Trump officials based on

1621
01:28:16,280 --> 01:28:18,479
Speaker 1: the obstruction of justice that mull Are laid out that

1622
01:28:18,560 --> 01:28:21,360
Speaker 1: for some reason, this honorable prosecutor and all of his

1623
01:28:21,520 --> 01:28:24,920
Speaker 1: aggressive prosecutors themselves didn't prosecute, but Merrick Garland was going

1624
01:28:24,960 --> 01:28:27,280
Speaker 1: to do that. He hasn't done anything like that. And

1625
01:28:27,320 --> 01:28:29,519
Speaker 1: they also think that, you know, like Josh Holly and

1626
01:28:29,600 --> 01:28:32,960
Speaker 1: Ted Cruz and like Lauren Boebert and all the members

1627
01:28:32,960 --> 01:28:34,600
Speaker 1: of Congress that they hate are also going to be

1628
01:28:34,680 --> 01:28:36,840
Speaker 1: rounded up very shortly and put in prison. And they're

1629
01:28:36,840 --> 01:28:39,240
Speaker 1: starting to see that's not going to happen either, And

1630
01:28:39,280 --> 01:28:42,120
Speaker 1: you're right, this disillusionment they're now turning on Merrick Garland

1631
01:28:42,120 --> 01:28:44,400
Speaker 1: the way that they did finally turn on Robert Mueller

1632
01:28:44,960 --> 01:28:47,360
Speaker 1: is normal and natural, But at some point you would

1633
01:28:47,360 --> 01:28:50,360
Speaker 1: think these liberals would start to question whether the people

1634
01:28:50,360 --> 01:28:52,759
Speaker 1: they're listening to, the media outlets and the political leaders

1635
01:28:52,800 --> 01:28:55,639
Speaker 1: are actually trustworthy the way they keep leading them down

1636
01:28:55,680 --> 01:28:57,960
Speaker 1: this path that leads to a dead end and not

1637
01:28:58,000 --> 01:29:00,880
Speaker 1: to this promised land of nirvana. And yet so far,

1638
01:29:00,920 --> 01:29:02,880
Speaker 1: at least it doesn't seem to be happening. They just

1639
01:29:02,960 --> 01:29:05,599
Speaker 1: keep blaming. I saw today, for example, Eli missed All

1640
01:29:05,640 --> 01:29:09,640
Speaker 1: the nic correspondent at the Nation, a beloved star of MSNBC,

1641
01:29:09,760 --> 01:29:12,760
Speaker 1: who was on Democracy Now ranting and raving against what

1642
01:29:12,840 --> 01:29:16,120
Speaker 1: he called the two white prosecutors, Merrick Garland and Robert

1643
01:29:16,200 --> 01:29:18,559
Speaker 1: Mueller for failing to do their job by not putting

1644
01:29:18,560 --> 01:29:21,320
Speaker 1: Trump in prison. This is still where their rage is going.

1645
01:29:21,680 --> 01:29:24,599
Speaker 1: And you know, Glenn, the lack of prosecution leads to

1646
01:29:24,640 --> 01:29:29,120
Speaker 1: some other interesting questions around the fact that we know

1647
01:29:29,320 --> 01:29:32,240
Speaker 1: for a fact that many of the people who are

1648
01:29:32,360 --> 01:29:35,920
Speaker 1: on video as ringleaders or people who pushed the actual

1649
01:29:36,520 --> 01:29:40,600
Speaker 1: riots on January sixth, have either not been indicted or

1650
01:29:40,760 --> 01:29:43,400
Speaker 1: taken off the most wanted list, and more could you

1651
01:29:43,479 --> 01:29:45,840
Speaker 1: elaborate on that. I mean that seems to be another

1652
01:29:45,920 --> 01:29:48,480
Speaker 1: area of inquiries, like, well, yes, there is lack of prosecution,

1653
01:29:48,840 --> 01:29:51,400
Speaker 1: and that raises some interesting questions about what exactly was

1654
01:29:51,439 --> 01:29:54,439
Speaker 1: going on here. Yeah, I mean, you know, I spent

1655
01:29:55,560 --> 01:29:58,760
Speaker 1: ten years devoting a lot of reporting time, as did

1656
01:29:58,800 --> 01:30:01,200
Speaker 1: several other journalists associated with the left. It was a

1657
01:30:01,280 --> 01:30:03,920
Speaker 1: very popular form of reporting on the way in which

1658
01:30:03,960 --> 01:30:09,040
Speaker 1: the FBI would infiltrate what they regarded as threatening groups

1659
01:30:09,080 --> 01:30:12,600
Speaker 1: of young, typically Muslim men in the United States and

1660
01:30:12,640 --> 01:30:15,919
Speaker 1: would use infiltrators and informants to lure them into plots

1661
01:30:16,320 --> 01:30:19,000
Speaker 1: that they themselves had never thought of and hadn't indicated

1662
01:30:19,040 --> 01:30:22,720
Speaker 1: any interest in pursuing, but the informants manipulated them into

1663
01:30:22,760 --> 01:30:24,679
Speaker 1: agreeing to join the plots, and then the FBI would

1664
01:30:24,680 --> 01:30:27,280
Speaker 1: swoop in at the last minute and praise itself and

1665
01:30:27,320 --> 01:30:31,200
Speaker 1: congratulate itself for disrupting a plot that they themselves had concocted.

1666
01:30:31,720 --> 01:30:34,280
Speaker 1: So we know for certain that the FBI is doing

1667
01:30:34,280 --> 01:30:36,559
Speaker 1: the same thing the far right groups, which they say

1668
01:30:36,720 --> 01:30:39,719
Speaker 1: is the number one threat to American national security. Not Russia,

1669
01:30:39,800 --> 01:30:42,400
Speaker 1: not China, not Al Qaeda or ISIS, but right wing

1670
01:30:42,400 --> 01:30:46,040
Speaker 1: domestic extremists because in the gret and Whitmer case, the

1671
01:30:46,120 --> 01:30:48,599
Speaker 1: kidnapping case that was such a big deal was made

1672
01:30:48,600 --> 01:30:50,800
Speaker 1: to that before the election. We now know that at

1673
01:30:50,920 --> 01:30:53,559
Speaker 1: least half of not more, of the people in that plot,

1674
01:30:53,600 --> 01:30:56,080
Speaker 1: including the leaders, were acting at the behest of the FBI.

1675
01:30:56,720 --> 01:31:00,200
Speaker 1: We also know for sure, Sagur, that the FBI had

1676
01:31:00,200 --> 01:31:04,519
Speaker 1: at least two informants on the ground embedded in the crowd,

1677
01:31:05,120 --> 01:31:09,160
Speaker 1: because the New York Times itself confirmed that. And you know,

1678
01:31:09,320 --> 01:31:13,000
Speaker 1: you have a Congressional committee presumably or purportedly attempting to

1679
01:31:13,040 --> 01:31:15,120
Speaker 1: give the bottom of what happened, and they have zero

1680
01:31:15,240 --> 01:31:19,840
Speaker 1: interests in asking why the FBI didn't do that, right,

1681
01:31:19,880 --> 01:31:22,040
Speaker 1: you would expect them to be angry that the FBI didn't.

1682
01:31:22,040 --> 01:31:23,720
Speaker 1: We were talking before about nine to eleven in the

1683
01:31:23,720 --> 01:31:26,759
Speaker 1: failure that that was by the NSA, with their billions

1684
01:31:26,800 --> 01:31:28,920
Speaker 1: of dollars every year not to detect this plot or

1685
01:31:28,920 --> 01:31:32,960
Speaker 1: the FBI. Why didn't the FBI had have their tentacles

1686
01:31:32,960 --> 01:31:35,479
Speaker 1: in these groups, or if they did, what is it

1687
01:31:35,520 --> 01:31:37,719
Speaker 1: that they knew? And are there people who were ringleaders

1688
01:31:37,760 --> 01:31:40,200
Speaker 1: who aren't being prosecuted for that reason? Is a question

1689
01:31:40,560 --> 01:31:43,200
Speaker 1: that the people who have the capacity to answer that, namely,

1690
01:31:43,280 --> 01:31:46,720
Speaker 1: the Justice Department in the one six Congressional Committee are steadfast.

1691
01:31:46,800 --> 01:31:49,800
Speaker 1: You're refusing to get near, which only makes those suspicions

1692
01:31:49,840 --> 01:31:53,160
Speaker 1: more valid. What do you make of the fact, Glenn,

1693
01:31:53,280 --> 01:31:56,439
Speaker 1: that you know, the last time that cable news networks

1694
01:31:56,479 --> 01:32:00,000
Speaker 1: got good ratings was basically one six, and so they've

1695
01:32:00,120 --> 01:32:03,920
Speaker 1: voted a lot of time and coverage to exploring that day,

1696
01:32:03,960 --> 01:32:09,480
Speaker 1: exploring their personal feelings on that day. There's this congressional inquiry,

1697
01:32:09,720 --> 01:32:13,320
Speaker 1: So Washington has really wanted to focus a lot of

1698
01:32:13,320 --> 01:32:17,400
Speaker 1: time and attention on one six, even as the public

1699
01:32:17,439 --> 01:32:20,240
Speaker 1: isn't really following them there. I mean, the top concerns

1700
01:32:20,240 --> 01:32:23,640
Speaker 1: for people are things like inflation, the economy, healthcare. I mean,

1701
01:32:23,680 --> 01:32:26,719
Speaker 1: the same sorts of things that people generally are concerned about.

1702
01:32:27,360 --> 01:32:29,680
Speaker 1: So what do you read into the fact that the

1703
01:32:29,680 --> 01:32:33,759
Speaker 1: public has by and large not gone where the media

1704
01:32:33,840 --> 01:32:38,240
Speaker 1: has wanted to lead them. So, I mean, the dirty

1705
01:32:38,240 --> 01:32:41,040
Speaker 1: little secret of the liberal wing of the corporate media

1706
01:32:41,400 --> 01:32:44,320
Speaker 1: is that nobody benefited more from Donald Trump and his

1707
01:32:44,320 --> 01:32:48,280
Speaker 1: presidency and his campaign and then the aftermath more than

1708
01:32:48,840 --> 01:32:52,800
Speaker 1: that sector that the liberal wing of the corporate media

1709
01:32:52,920 --> 01:32:55,960
Speaker 1: saved enormous amounts of jobs, it generated enormous ratings. January

1710
01:32:56,000 --> 01:32:59,839
Speaker 1: sixth was the single most watched day in CNN's history.

1711
01:33:00,400 --> 01:33:03,120
Speaker 1: So of course they have an interest in trying to

1712
01:33:03,240 --> 01:33:06,360
Speaker 1: rejuvenate and remind everyone and get everybody all excited again.

1713
01:33:06,760 --> 01:33:08,200
Speaker 1: But one of the things I was always trying to

1714
01:33:08,240 --> 01:33:12,360
Speaker 1: say during Russiagate was that I don't believe that Americans

1715
01:33:12,400 --> 01:33:16,200
Speaker 1: wake up in the morning thinking at all, let alone,

1716
01:33:16,200 --> 01:33:18,759
Speaker 1: first and foremost, about what the Kremlin and Vladimir Putin

1717
01:33:18,800 --> 01:33:21,680
Speaker 1: are doing, even though that was like seventy percent of

1718
01:33:21,720 --> 01:33:25,320
Speaker 1: what cable news and liberal outlets were talking about, and

1719
01:33:25,400 --> 01:33:27,360
Speaker 1: I think the same is true for January sixth. Why

1720
01:33:27,360 --> 01:33:30,600
Speaker 1: would they It was like nine hundred Trump supporters, you know,

1721
01:33:30,960 --> 01:33:33,439
Speaker 1: two of whom had never left their couch, so they

1722
01:33:33,479 --> 01:33:35,280
Speaker 1: dropped out of a heart attack, a third of whom

1723
01:33:35,320 --> 01:33:37,719
Speaker 1: died of a speed overdose, and the fourth was shot

1724
01:33:37,760 --> 01:33:40,200
Speaker 1: in the neck by a member of the Capitol Hill Police.

1725
01:33:40,240 --> 01:33:43,479
Speaker 1: They killed nobody. There were no weapons brandished inside the Capitol.

1726
01:33:43,520 --> 01:33:46,879
Speaker 1: There have been no repeats since then. The problem, Crystal,

1727
01:33:47,000 --> 01:33:49,599
Speaker 1: is that there's these really warped incentives where if you're

1728
01:33:49,640 --> 01:33:52,360
Speaker 1: The New York Times or if you're CNN, you only

1729
01:33:52,439 --> 01:33:55,480
Speaker 1: need to rile up a certain percentage of the population

1730
01:33:55,560 --> 01:33:58,840
Speaker 1: that's very small, and it can be completely homogenized. They're

1731
01:33:58,880 --> 01:34:01,000
Speaker 1: all liberals, they're all like minded. But all you need

1732
01:34:01,080 --> 01:34:03,360
Speaker 1: is like two or three million of them to just

1733
01:34:03,439 --> 01:34:06,160
Speaker 1: get very invested in these fears again in order for

1734
01:34:06,200 --> 01:34:10,160
Speaker 1: them to become profitable again. But the news itself is

1735
01:34:10,240 --> 01:34:13,840
Speaker 1: completely detached from the concerns of the overwhelming majority of Americans,

1736
01:34:13,880 --> 01:34:17,120
Speaker 1: who obviously are concerned with a million other things, from

1737
01:34:17,160 --> 01:34:20,519
Speaker 1: school closures to the pandemic, to inflation to their labor

1738
01:34:20,560 --> 01:34:26,479
Speaker 1: conditions infinitely greater than the trauma of Hunter Walker or

1739
01:34:26,520 --> 01:34:29,200
Speaker 1: and like other journalists who go on to Brian Stelter's

1740
01:34:29,200 --> 01:34:31,160
Speaker 1: show to do their therapy instead of doing it where

1741
01:34:31,160 --> 01:34:34,880
Speaker 1: they should with just with a psychologist. So there's this

1742
01:34:35,160 --> 01:34:37,920
Speaker 1: enormous cleavage between what the media is trying to talk

1743
01:34:37,920 --> 01:34:39,720
Speaker 1: about and what the public is interested and which is

1744
01:34:39,720 --> 01:34:42,840
Speaker 1: why nobody watches their program. Yeah, I couldn't think of

1745
01:34:42,880 --> 01:34:45,960
Speaker 1: a better way in order to spend January sixth, Glenn,

1746
01:34:45,960 --> 01:34:49,080
Speaker 1: It's a solemn day. This is the real reason that

1747
01:34:49,520 --> 01:34:51,920
Speaker 1: it matters to so many of the people in power.

1748
01:34:51,960 --> 01:34:53,960
Speaker 1: And that's not even to whitewash. You know what, was

1749
01:34:54,000 --> 01:34:56,800
Speaker 1: objectively a terrible event, but we got to talk about

1750
01:34:56,800 --> 01:34:58,920
Speaker 1: it in the way that it deserves. So thank you man,

1751
01:34:58,960 --> 01:35:01,479
Speaker 1: thank you for joining us. To you great to be

1752
01:35:01,560 --> 01:35:03,840
Speaker 1: with you guys on this very difficult day. My solidarity

1753
01:35:03,880 --> 01:35:08,439
Speaker 1: to both of you. Solidarity. Thank you guys so much

1754
01:35:08,439 --> 01:35:10,280
Speaker 1: for watching. If you want to know why we do

1755
01:35:10,360 --> 01:35:12,559
Speaker 1: this show, I actually do think today is a pretty

1756
01:35:12,600 --> 01:35:15,519
Speaker 1: good example being able to expose so much of the

1757
01:35:15,520 --> 01:35:18,840
Speaker 1: way that people in power weaponize objectively terrible things in

1758
01:35:18,960 --> 01:35:21,799
Speaker 1: order to try crack down on your life, be it COVID,

1759
01:35:21,920 --> 01:35:25,200
Speaker 1: be it January sixth, and ignore their own role in

1760
01:35:25,280 --> 01:35:28,120
Speaker 1: creating the situation where people hate each other, where our

1761
01:35:28,160 --> 01:35:31,479
Speaker 1: lives are miserable. So, I mean, I'm very pretty proud

1762
01:35:31,479 --> 01:35:32,880
Speaker 1: of the show that we put together today. I think

1763
01:35:32,880 --> 01:35:35,759
Speaker 1: it's a perfect representation of us. We appreciate your support

1764
01:35:35,960 --> 01:35:38,439
Speaker 1: as always, But I'm just thinking about you know, I

1765
01:35:38,439 --> 01:35:40,280
Speaker 1: don't know what I would do without the show. Like

1766
01:35:40,320 --> 01:35:42,200
Speaker 1: I think I'd be sitting at home just losing my mind,

1767
01:35:43,080 --> 01:35:46,200
Speaker 1: trapped in some like corporate media job or something, whispering

1768
01:35:46,280 --> 01:35:48,519
Speaker 1: to my friends, you know, getting drunk on the weekend

1769
01:35:48,600 --> 01:35:50,000
Speaker 1: and just being like God, I hate my job. I'd

1770
01:35:50,040 --> 01:35:52,120
Speaker 1: be drinking a lot more. You know, got about that.

1771
01:35:52,120 --> 01:35:55,400
Speaker 1: That's one hundred percent the case. Yeah, I mean, look, ultimately,

1772
01:35:56,400 --> 01:36:00,559
Speaker 1: I think January sixth deserved coverage, but I think deserved

1773
01:36:00,600 --> 01:36:03,320
Speaker 1: coverage that was productive, that could lead us somewhere better.

1774
01:36:03,680 --> 01:36:05,360
Speaker 1: Rather the easiest thing in the world to do is

1775
01:36:05,400 --> 01:36:08,800
Speaker 1: say those people were idiots, they were assholes, they were criminals,

1776
01:36:08,840 --> 01:36:12,040
Speaker 1: they were bad. The Republican Party is bad. Trump is bad. Okay,

1777
01:36:12,640 --> 01:36:15,080
Speaker 1: what now, like, how do we end up in this polief?

1778
01:36:15,360 --> 01:36:18,120
Speaker 1: What's next? Where do we? How do we those are

1779
01:36:18,120 --> 01:36:20,599
Speaker 1: not those nine hundred people being assholes or whatever. That's

1780
01:36:20,600 --> 01:36:22,519
Speaker 1: not a solvable problem. There's always going to be some

1781
01:36:22,600 --> 01:36:25,280
Speaker 1: percentage of the public that are assholes, that idiots who

1782
01:36:25,280 --> 01:36:27,719
Speaker 1: do stupid things, especially if they're led in a certain direction.

1783
01:36:27,960 --> 01:36:32,280
Speaker 1: So it's not ultimately productive and it just makes things

1784
01:36:32,360 --> 01:36:36,120
Speaker 1: worse when the sub totality of all your coverage day

1785
01:36:36,160 --> 01:36:39,600
Speaker 1: in and day out is why this half of the

1786
01:36:39,640 --> 01:36:43,000
Speaker 1: country is terrible and you're redeemable. You know, if you're

1787
01:36:43,200 --> 01:36:45,920
Speaker 1: a liberal outlet, it's the Republicans. If you're Fox News

1788
01:36:45,960 --> 01:36:48,599
Speaker 1: or the conservative outlets, it's the liberals and the left

1789
01:36:49,080 --> 01:36:52,800
Speaker 1: that doesn't lead us ultimately anywhere productive and useful. So

1790
01:36:53,280 --> 01:36:55,240
Speaker 1: did our best to put together a show that was

1791
01:36:55,280 --> 01:36:57,559
Speaker 1: a little bit forward looking that tried to delve into

1792
01:36:57,640 --> 01:37:00,000
Speaker 1: some of those deeper issues. And we appreciate you guys

1793
01:37:00,120 --> 01:37:02,040
Speaker 1: supporting us in our ability to do this so that

1794
01:37:02,240 --> 01:37:04,960
Speaker 1: Soccer and I can stay away from being alcoholic. Yeah no,

1795
01:37:05,040 --> 01:37:07,680
Speaker 1: like actually, thank you guys. We really appreciate it. We've

1796
01:37:07,680 --> 01:37:09,760
Speaker 1: got big plans. We will see you all next week.

1797
01:37:09,880 --> 01:37:11,040
Speaker 1: Love you guys, See you next week.