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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: the show notes. Enjoy the show, guys, Good morning, everybody

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Speaker 1: happyat Monday. We have an amazing show for everybody today.

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Speaker 1: What do we have pristal indeed, we do lats to

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Speaker 1: get to you this morning. So first of all, We've

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Speaker 1: got some big updates, a clash between Bernie Sanders and

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Speaker 1: Joe Manchin. Bernie actually published an op ed in a

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Speaker 1: local West Virginia paper calling out Mansion Mansion hit back.

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Speaker 1: What does it mean? We'll get into all of that,

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Speaker 1: some pretty spicy Epstein details from the new Michael Wolf book.

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Speaker 1: You know, some things to say about both Bill Clinton

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Speaker 1: and Donald Trump. So you don't want to miss that one.

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Speaker 1: We've got all your Katie Kirk RBG news for you.

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Speaker 1: Also an update on that whole Sanji Gupta Joe Rogan.

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Speaker 1: Don Lemon of course had to insert himself into the

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Speaker 1: whole thing. We'll write that down for you. Matt Stellar

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Speaker 1: is going to be on to talk about how monopolies

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Speaker 1: are behind a lot of the fragility and the supply

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Speaker 1: chain issues that we are all experiencing that's helping to

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Speaker 1: drive inflation. But we want to to start with an

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Speaker 1: update on this massive strike of John dere workers ten

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Speaker 1: thousand workers strong. We brought to these updates last week.

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Speaker 1: Of course, these are all UAW members. They went on

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Speaker 1: on strike because they were very unhappy with the fact

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Speaker 1: that the big thing they've been contesting is this two

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Speaker 1: tier wage and benefit system that subjects certain workers who

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Speaker 1: joined later to effectively second class citizenship. John Dear was

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Speaker 1: thinking of instituting even a third tier. This is a

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Speaker 1: consistent theme we're seeing across a lot of these strips that,

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Speaker 1: of course we've been covering, have been breaking out across

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Speaker 1: the country. So let's check in on the very latest

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Speaker 1: with that strike. Here's some reporting from Joanah Furman what

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Speaker 1: the company is doing to try to break the strike.

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Speaker 1: They're bringing in scabs that are sourced from their own

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Speaker 1: white collar management and engineering positions. Let me read you this.

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Speaker 1: This is from a salary worker at John Deere. The

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Speaker 1: Deer quote unquote strike breakers are currently six hundred and

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Speaker 1: fifty salary employees pulled from engineering and management position across Deer.

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Speaker 1: Note I say strike breakers because I can guarantee that,

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Speaker 1: with our lack of skill in numbers, we will not

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Speaker 1: be breaking the strike. This individual goes on to say,

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Speaker 1: to my knowledge, most of us will be allocated to

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Speaker 1: a part center. Deer spent an enormous amount of time, money,

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Speaker 1: and effort trying to get us all trained, but not

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Speaker 1: many of us are really ready for this. We'll be

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Speaker 1: working twelve hour six shifts six days per week with

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Speaker 1: day and night shifts. In my position, I am not

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Speaker 1: looking forward to this. I think the wage employees deserve

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Speaker 1: a lot more than what they were offered, and I

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Speaker 1: absolutely support them striking. I feel like I'm betraying some

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Speaker 1: of my values by crossing the picket line, but it

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Speaker 1: has been all but said that not crossing the picket

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Speaker 1: line means getting fired if you are salary. So that's

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Speaker 1: what John Dear decided to do. Use their white collar,

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Speaker 1: untrained salary workers office workers in most cases, and use

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Speaker 1: them to try to fill in as scabs for the

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Speaker 1: workers who are out on strike, effectively threatening these white

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Speaker 1: collar workers' jobs if they don't participate in this. So

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Speaker 1: on the very first day that these white collar workers

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Speaker 1: are brought in, let's check in how that went. Throw

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Speaker 1: this next element up. There not even eight am and

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Speaker 1: an ambulance is moving into location. As far as I know,

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Speaker 1: no one was badly injured. But here we are in

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Speaker 1: the first full day of John Deere using non union

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Speaker 1: workers to attemptorial place UAW members on the factory floor.

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Speaker 1: Didn't even make it till eight am without a nine

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Speaker 1: to eleven call. Later, details came out that apparently one

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Speaker 1: of these workers had crashed a tractor. So not a

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Speaker 1: great strategy there that the company is employing, and of

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Speaker 1: course casually risking the lives and health and safety and

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Speaker 1: well being of their white collar workers. So yeah, it

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Speaker 1: turns out they don't have any more respect for them

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Speaker 1: than they do for the blue collar work force. They're

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Speaker 1: treating them terribly. I mean, everybody who's watched the office

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Speaker 1: knows Darryl's rules, right, like do not touch the equipment

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Speaker 1: on the warehouse floor. And that's exactly what apparently John

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Speaker 1: Deere has made official company policy rather than actually come

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Speaker 1: to a deal which these workers will agree to in

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Speaker 1: terms of raising wages the two tier system, even the

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Speaker 1: deal that they had negotiated before which Deer workers struck down.

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Speaker 1: I mean, we're talking only about a five percent raise,

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Speaker 1: and as what they're talking about, which is that Look,

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Speaker 1: they're like, you have been working us to the bone

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Speaker 1: throughout the entire pandemic. You guys are making more money

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Speaker 1: than ever. Yeah, like your most profitable year ever was

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Speaker 1: twenty twenty, and you're not coming to us and negotiating

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Speaker 1: in good faith. And so what's really happened is that

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Speaker 1: John Deere just going and showing you exactly what is

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Speaker 1: happening in the entire economy. That's what we decided to

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Speaker 1: start with this story and the intercept Jonah Furman, who

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Speaker 1: had on the show, they wrote a great piece with

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Speaker 1: labor notes, which is that the tight labor market is

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Speaker 1: ready to pop. Is what the John Deere strike shows.

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Speaker 1: The end of the national mobilization around COVID is releasing

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Speaker 1: built up pressures in workplaces nationwide. I was actually thinking

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Speaker 1: about it in the context of American history. One of

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Speaker 1: the books behind me, Freedom from Fear, which I reference

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Speaker 1: a lot, it describes the national mobile is that happened

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Speaker 1: throughout World War Two. And then one of my favorite

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Speaker 1: books is actually a biography of Harry Truman by David McCullough.

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Speaker 1: And actually people really forget that that post World War

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Speaker 1: Two period in all Western democracies, but especially in Britain

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Speaker 1: and here in the United States, there was a real

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Speaker 1: reckoning with hey, like our workforce showed up, we cranked

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Speaker 1: out the bombs, and men went off to work. Sacrifice.

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Speaker 1: We sacrificed. I wanted us to do right. And that

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Speaker 1: is when you saw the explosion of the labor movement.

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Speaker 1: Across the United States and building on the successes in

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Speaker 1: the groundwork of the nineteen twenties and thirties, that's really

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Speaker 1: when we solidified. I mean, employer based healthcare probably not

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Speaker 1: the best thing system in the world, but that's when

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Speaker 1: that came to pass. All those big strikes in the

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Speaker 1: railroads and more. I think we're in a similar moment,

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Speaker 1: which is that you have this massive distortion in the

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Speaker 1: economy COVID nineteen. We required all of these workers in

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Speaker 1: order to come and sacrifice. The businesses, just like back

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Speaker 1: in the war, have massive, you know, big benefits. And

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Speaker 1: now as we're starting to getut on the tail end

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Speaker 1: of this thing, people are saying, look, you're not going

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Speaker 1: to take advantage of me anymore. Yeah, and we're seeing

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Speaker 1: the great reassessment of work for non salaried workers, which

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Speaker 1: we'll get to, but among those who are within unions,

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Speaker 1: they're like, look, we showed up for you, Now you

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Speaker 1: need to show up for us, given the fact that

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Speaker 1: your books have been padded, you know, exponentially through the

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Speaker 1: stock market. More so, Yeah, if you think about it

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Speaker 1: in the context of history, I think a lot of

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Speaker 1: this stuff makes sense. It does another thing that and

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Speaker 1: This piece is really excellent. I highly recommend it to

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Speaker 1: you and the intercept because it puts the John Deere

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Speaker 1: strike in historical and broader context. And one of the

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Speaker 1: things that they point out is that this isn't actually

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Speaker 1: a brand new phenomenon in modern times. It's a continuation

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Speaker 1: of an uptick and labor militancy that we saw and

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Speaker 1: we tracked in twenty eighteen and twenty nineteen before the

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Speaker 1: pandemic hit. Remember, you had this massive wave of teacher

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Speaker 1: strikes across the country, predominantly in fact, in red states,

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Speaker 1: so you already were starting to see this agitation among

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Speaker 1: workers of like, listen, we've been putting up with these

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Speaker 1: stagnant wages, with these crappy We've been putting up with

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Speaker 1: this for decades, and we're kind of done with it.

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Speaker 1: So now you add on top of that, you do

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Speaker 1: have a labor market that is kind of tight, and

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Speaker 1: these two tier wage and benefit systems that started to

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Speaker 1: be put into place. This was like a neoliberal era

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Speaker 1: quote unquote, reform started to be put in place in

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Speaker 1: the nineties. They have now made these two tier systems

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Speaker 1: a focal point of the pushback, and it's really important

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Speaker 1: It's really significant because if you're a worker who's been

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Speaker 1: there for a long time, look, the fact that your

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Speaker 1: brothers and sisters who came in later are getting a

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Speaker 1: worse deal, well, that doesn't directly affect you. But remember

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Speaker 1: when we talked to Trevor Biddelman last week from Kellogg's,

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Speaker 1: he said, no, no, we're no longer putting up with

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Speaker 1: this like this is an existential battle for the middle class.

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Speaker 1: So the thing that the two tier system does too,

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Speaker 1: is it's an attempt to break solidarity. It's an attempt

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Speaker 1: to break apart the workforce. So you have one group

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Speaker 1: that says, look, I got mine, so sorry that it's

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Speaker 1: rough for you, but I'm not too worried about it.

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Speaker 1: These workers are rejecting that mentality and really embracing a

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Speaker 1: solidarity that's incredibly encouraging to see. The very latest from

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Speaker 1: Joan of this morning is that there's plans for a

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Speaker 1: huge show of force, potentially thousands of workers all on

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Speaker 1: the picket lines for you, with the John Deere strike

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Speaker 1: coming up here soon, which would be incredible to see

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Speaker 1: but also important to put into historical context. And this

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Speaker 1: is again from that piece. Let me just read this

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Speaker 1: one part. This strikewave is not the nineteen forties, when

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Speaker 1: one in ten US workers went on strike in the

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Speaker 1: space of a year. But it isn't the labor lull

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Speaker 1: of the twenty tens either, when large strike activity in

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Speaker 1: the private sector fell towards zero. Today workers are increasingly militant,

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Speaker 1: that is, unwilling to accept bad terms of employment, but

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Speaker 1: they're not particularly organized with union density at a historical nator.

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Speaker 1: The unions are playing an inspirational role, but they are

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Speaker 1: not the only source of the action. Where we're seeing

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Speaker 1: now a strike activity beginning to rise from a decades

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Speaker 1: long trough as the quote unquote essential worker, a new

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Speaker 1: cattery of worker board of the coronavirus pandemic challenges the

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Speaker 1: boss to make good on that designation. I saw one

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Speaker 1: person with a quote saying, like, look, when you have

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Speaker 1: that realization that your boss will literally kill you, like

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Speaker 1: they will casually risk your life, that kind of changes

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Speaker 1: your relationship to your employment. And I do think that's

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Speaker 1: a lot of what we're seeing here that happened in

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Speaker 1: the meat packing plants, that happened in Amazon warehouses, or

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Speaker 1: allegedly happened in Amazon warehouses. For the Amazon lawyers and

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Speaker 1: you know, for them many people that we interviewed here

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Speaker 1: who had to deal with that. The Washington Post is

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Speaker 1: a good story on this, elaborating as well. Let's put

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Speaker 1: it up there on the screen. What I like about

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Speaker 1: what it does is it ties the great resignation, which

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Speaker 1: we covered in our last show about the record number

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Speaker 1: four point three million Americans who left their jobs, and

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Speaker 1: it ties it specifically again to the workers and their

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Speaker 1: ability to wield leverage in the economy. And I think

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Speaker 1: really what happened is we've been speaking of greats. We've

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Speaker 1: had two great great besets. Yes, I know it's a

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Speaker 1: loaded term, but two thousand and eight was a great

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Speaker 1: reset of sorts in terms of the US economy. And

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Speaker 1: that problem was there is that because the market there

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Speaker 1: was so much unemployment and more so little stagnation of wages.

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Speaker 1: Is that a lot of workers uaw workers and more

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Speaker 1: they took terrible contracts because the auto guys were like, look,

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Speaker 1: this is the only way we stay in business, and

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Speaker 1: the government kind of forced their hand so that way

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Speaker 1: we had zero labor activity. Now, it's been a long time,

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Speaker 1: it's been in you know, several years now, since two

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Speaker 1: thousand and eight, and we just had another national crisis

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Speaker 1: with a tight labor market. People are saying, screw it,

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Speaker 1: I'm not putting up with this anymore. And that's exactly

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Speaker 1: what the Obama years were, defined by wage stagnation, a

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Speaker 1: great frustration. That's ultimately what erupted under Trump, you know,

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Speaker 1: thirty five years of neoliberalism, exacerbated really by the financial crisis.

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Speaker 1: And I think this, if anything, is a tried and

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Speaker 1: true ability of the actual workforce and the population to

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Speaker 1: say we're not dealing with this anymore. Yeah. So, in

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Speaker 1: a weird way, it might be one of the best

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Speaker 1: things that's ever happened, because it is resetting the balance

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Speaker 1: of power. Yes, corporations got more rich than ever during

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Speaker 1: the pandemic. First to cover that, we minted a lot

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Speaker 1: of new billionaires, many of them were hedge fund financiers,

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Speaker 1: all these people. And yet look, I don't want to paint,

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Speaker 1: you know, a picture as if everything is hunky dory

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Speaker 1: or whatever, but things are trending in a different and

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Speaker 1: in my opinion, a better direction. And when you have

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Speaker 1: the economy basically where you need the workforce more than ever,

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Speaker 1: especially during the supply chain crisis, this you know, some

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Speaker 1: people are getting mad. They're like, oh, the unions, et cetera.

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Speaker 1: You have to understand that they've been treated and pissed

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Speaker 1: on for thirty five forty years. Also, it really reveals

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Speaker 1: with this John Dear strike, this is not quote unquote

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Speaker 1: union leadership or union bosses or whatever. Actually the members

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Speaker 1: rejected the contract of a five percent increase contract that

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Speaker 1: leadership negotiated for them. Now, there's in particular a lot

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Speaker 1: of dissatisfaction in UAW with their union leadership, which has

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Speaker 1: been indicted for massive corruption scandals. We're effectively, you know,

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Speaker 1: to make a long story short, they sort of thrown

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Speaker 1: in with management and we're effectively on management side, negotiating

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Speaker 1: poor contracts, giving up tons of concessions. And so a

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Speaker 1: lot of the rank and file have said, no, no, no,

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Speaker 1: we're done with this. This is enough, and so they

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Speaker 1: took matters into their own hands, rejecting that contract that

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Speaker 1: had been negotiated by leadership by like ninety percent to ten,

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Speaker 1: I mean overwhelmingly, and this is very unusual ultimately to see.

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Speaker 1: There's also an update on that Iatzi strike authorization that

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Speaker 1: we had told you about. Those are the sort of

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Speaker 1: backstage crew workers who make Hollywood Run. Sixty thousand plus

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Speaker 1: members strong had voted to authorize a strike. Their leadership

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Speaker 1: has also negotiated a tentative agreement that still has to

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Speaker 1: be ratified by membership, but as of now, that strike

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Speaker 1: has been averted or at least pushed off. So we'll

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Speaker 1: keep our eye on that. But it is an extraordinary moment.

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Speaker 1: And you layer on top of that, union favorability is

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Speaker 1: at near all time highs, certainly is at all time

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Speaker 1: highs in terms of recent year. You have younger, younger

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Speaker 1: demographics that are particularly favorable towards labor and towards unions.

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Speaker 1: And the last thing, and I'll say here, is that

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Speaker 1: you know, it's kind of an antidote to the totally sectarian,

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Speaker 1: polarized politics that you see here in GC. These workers

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Speaker 1: are all different political stripes. I mean, if you look

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Speaker 1: at the data, forty percent of the VOTERI for Trump.

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Speaker 1: So like there you go, yeah, I mean you have

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Speaker 1: you know, you have Trump supporters, you got Birdie supporters,

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Speaker 1: you got Biden supporters, you got all of that in

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Speaker 1: the mix. Okay, you have people from all kinds of

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Speaker 1: different racists and backgrounds. These strike waves are hitting small

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Speaker 1: town America, big city America, small city America. I mean,

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Speaker 1: this is truly across geography, across demographic, across partisan affiliation.

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Speaker 1: It's a real demonstration of solidarity and how working class

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Speaker 1: people can actually achieve and flex power. And it shows

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Speaker 1: you what can happen when you have a divisive politics,

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Speaker 1: but a politics that's divisive in the correct way. Yeah,

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Speaker 1: that's right, where you have the working class pitted against

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Speaker 1: corrupt management or against a public sector where budgets have

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Speaker 1: been stripped and stripped and stripped and the workers have

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Speaker 1: been completely abused. You see that with school bus drivers

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Speaker 1: walking out and those sorts of things across the country too.

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Speaker 1: So it really is quite an interesting moment. The last

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Speaker 1: piece of data we have for you on the story,

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Speaker 1: this is from how They're Long, who's done a really

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Speaker 1: great job of tracking all these trends from the beginning.

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Speaker 1: She points out. So in addition to the strike wave, obviously,

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Speaker 1: you have, as you were mentioning the great resignation, workers

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Speaker 1: quitting their job feeling like they can get a new opportunity.

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Speaker 1: Workers who switch jobs right now they almost always earn

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Speaker 1: bigger racist than those who stay at the same firm.

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Speaker 1: But right now that gap is the widest it has

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Speaker 1: been in more than two decades. Bottom line, now is

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Speaker 1: a great time to switch jobs. For workers who are

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Speaker 1: not in a union, who don't have that collective power

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Speaker 1: and bargaining power in their own workplace, they're saying, screw

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Speaker 1: an amount of here. And for a lot of workers

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Speaker 1: who are in a union who have that collective bargaining

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Speaker 1: ability and that ability to act in solidarity and put

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Speaker 1: pressure on their employer, a lot of them are choosing

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Speaker 1: to use that leverage to try to stay in their

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Speaker 1: job but earn a but be rewarded with better benefits

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Speaker 1: and better salaries. There So it's a pretty extraordinary moment

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Speaker 1: that we're watching take place. It's titanic, and really it's

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Speaker 1: funny because we've been covering it for years, if not months.

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Speaker 1: A lot of the stuff the groundwork for this, like

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Speaker 1: you said, laid in the teacher strikes, but also the

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Speaker 1: tight labor market of twenty nineteen. You're seeing things begin

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Speaker 1: to bubble up. Then, of course COVID happened and kind

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Speaker 1: of scrambled everything. But immediately all of the conventional explanations

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Speaker 1: for why this is happening, they didn't make any sense.

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Speaker 1: Everyone was saying unemployment. Look, I mean we have ahead

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Speaker 1: natural experiments. Now we had unemployment, and then we took

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Speaker 1: it away, and guess what. The situation arguably got worse

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Speaker 1: for employers in terms of mobility and more. We've seen

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Speaker 1: the same thing in terms of wage stagnation, and Washington

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Speaker 1: Post New York Times they're just now beginning to wake up.

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Speaker 1: So what's happening? Like it took four point five four

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Speaker 1: point five million people quitting their job in August for

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Speaker 1: them to be like, oh, I wait, said, second happen?

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Speaker 1: What's happening here before? And I'm not talking about the

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Speaker 1: reporters themselves really like the front page in terms of

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Speaker 1: what they even discuss on the air. But I will

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Speaker 1: say I checked the New York Times Sunday edition, which

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Speaker 1: is supposed to be the most important, and they're still

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Speaker 1: talking about January sixth. I swear to God Gristel they

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Speaker 1: did some reconstruction of the January sixth attack and the

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Speaker 1: seven most instrumental people. Meanwhile, this is happening across the

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Speaker 1: whole country. People are quitting their jobs, they're finding new ones,

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Speaker 1: higher wages, their strikes. This is the biggest story in

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Speaker 1: America right now that's why we're leading with it. It

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Speaker 1: doesn't have a cheap partisan angle to it, which is

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Speaker 1: why they don't know how to cover it. They don't

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Speaker 1: it's not you know, Biden's bad or AOC's bad, or

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Speaker 1: Trump's bad or whatever. So it's confusing to them. They

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Speaker 1: don't know how to cover it. They have a massive

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Speaker 1: blind spot because all of them are basically almost all

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Speaker 1: from the same class background and socioeconomic status, so huge

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Speaker 1: blind spot where working class issues are concerned, that stories

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Speaker 1: like this just fall right through, even though this is

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Speaker 1: a massive trend across the country. Let's bring you some

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Speaker 1: of that DC News though, because this is significant. So

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Speaker 1: remember when Senator Sanders was running for president and he

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Speaker 1: would get asked about, okay, well, if you want to

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Speaker 1: get medicare for all past you got people like Joe Manchin,

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Speaker 1: like what are you going to do to get him

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Speaker 1: on board? And he always had a ready made answer,

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Speaker 1: which is, I would go to West Virginia, I would

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Speaker 1: do the rallies, I would put direct pressure on him,

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Speaker 1: and you know that's the most effective way to try

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Speaker 1: to get intrenchient people on board. Well, he didn't literally

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Speaker 1: go to West Virginia, but he said, figuratively, go there.

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Speaker 1: He published an obed in the Charleston Cazette mail, let's

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

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Speaker 1: he calls out Mansion directly. Here he says, we need

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Speaker 1: every Democrat to back the Build Back Better bill when

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Speaker 1: they have to call it there, So we now have

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Speaker 1: a historic opportunity to support the working families of West Virginia,

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Speaker 1: Vermont and the entire country and create policy which works

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Speaker 1: for all, not just the few couple of things here

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Speaker 1: that are interesting. He points out that pull After poll

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Speaker 1: shows overwhelming support for this legislation. I've looked into the

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Speaker 1: numbers in West Virginia. This bill is extremely popular in

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Speaker 1: West Virginia and is popular in a bipartisan way and

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Speaker 1: not just like the individual provisions. Oh if you just

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Speaker 1: ask him on this thing, or you just ask him

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Speaker 1: on that thing. According to Data for Progress poll, at

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Speaker 1: least it has majority support among Democrats, Independence and Republicans.

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Speaker 1: So he's right on that. But this is the part

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Speaker 1: that I think, really, you know, kind of was meant

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Speaker 1: to go Joe Manton here, he says, He says, where

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Speaker 1: is it? Oh, here we go. Pull After polishes overwelling

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Speaker 1: support for this legislation. Yet the political problem we face

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Speaker 1: is that in a fifty to fifty Senate, we need

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Speaker 1: every Democratic Senator to vote yes. We now have only

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Speaker 1: forty eight. Two Democratic centers remain in opposition, including Center

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Speaker 1: Joe Manchin. So going to Center Joe Mansion's hometown newspaper

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Speaker 1: calling him out directly. Of course, Mansion responded, let's throw

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Speaker 1: his response up there on the screen screen. He was

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Speaker 1: a little more aggressive, I would say, than Birdie was

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Speaker 1: in his He says, this isn't the first time an

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Speaker 1: out of stator has tried to tell West Virginians what

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Speaker 1: is best for them, despite having no relationship to our state.

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Speaker 1: Millions of jobs are open, supply chains are strained and

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Speaker 1: unavoidable inflation taxes or draining workers harder and whages as

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Speaker 1: the price of gasoline and groceries continues to climb. Senator Sanders'

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Speaker 1: answer is to throw more money on an already overheated economy,

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Speaker 1: while fifty two other Senators have grave concerns about this approach.

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Speaker 1: To be clear, again, Congress should proceed with caution on

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Speaker 1: any additional spending, and I will not vote for a

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Speaker 1: reckless expansion of government programs. No up ed from a

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Speaker 1: self declared independent socialist is going to change that. David

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Speaker 1: started to point out to me this was just kind

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Speaker 1: of a funny aside that apparently Bernie one more votes

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Speaker 1: in West Virginia in the twenty sixteen PM than Mansion

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Speaker 1: one in his reelect. I want to say he has

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Speaker 1: no relationship to the state. I think is untrue. I

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Speaker 1: also know the centator has been to West Virginia any

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Speaker 1: number of times and has a particular interest in the state.

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Speaker 1: But I mean, basically, what this shows is these negotiations

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Speaker 1: have gone off the rail. Mansion seems to be getting

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Speaker 1: more intransigent, not less. He has now ruled out the

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Speaker 1: center piece of the Biden sort of climate piece of

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Speaker 1: the Build Back Better agenda, which was a renewable energy standard.

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Speaker 1: This is the only part of it that really has

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Speaker 1: teeth in terms of where climate is concerned. Let's go

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Speaker 1: ahead and throw that New York Times tear sheet up

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Speaker 1: on the screen. Democrats weighing now a carbon tax after

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Speaker 1: Mansion rejects a key climate provision. I mean, again, this

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Speaker 1: is something we've been highlighting for a long time. Mansion

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Speaker 1: is the chair of the committee that was going to

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Speaker 1: be tasked with writing these climate rules on a renewable

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Speaker 1: energy standard. He has now said I don't support that all.

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Speaker 1: So now they're thinking about a carbon tax. Now, I

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Speaker 1: want to be fair. They have some language in this

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Speaker 1: article about how they're going to try to make sure

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Speaker 1: that doesn't are working class people, etcetera, etcetera, etcetera. But

430
00:22:10,560 --> 00:22:13,800
Speaker 1: energy prices are already going up. Natural gas is about

431
00:22:13,840 --> 00:22:16,760
Speaker 1: to double one natural gas price going up. We're talking

432
00:22:16,760 --> 00:22:19,040
Speaker 1: about not just at the pump, we're talking about heating

433
00:22:19,040 --> 00:22:22,560
Speaker 1: your homes. All of these things. A carbon tax, a

434
00:22:22,640 --> 00:22:24,760
Speaker 1: straight up carbon tax if you don't have a lot

435
00:22:24,760 --> 00:22:30,040
Speaker 1: of you know, mitigating loopholes and credits and things put

436
00:22:30,040 --> 00:22:33,600
Speaker 1: in there to protect the working class disproportionately hurts lower

437
00:22:33,640 --> 00:22:37,399
Speaker 1: income people. This seems like a disastrous idea. And of

438
00:22:37,400 --> 00:22:40,359
Speaker 1: course the line from progressives from the beginning has been

439
00:22:40,480 --> 00:22:44,520
Speaker 1: no climate, no deal. So this morning it seems like

440
00:22:44,560 --> 00:22:48,280
Speaker 1: they are even even further away from having any sort

441
00:22:48,320 --> 00:22:50,679
Speaker 1: of negotiated deal here than they were last week. No,

442
00:22:50,760 --> 00:22:52,480
Speaker 1: it's a good point, Crystal, and this is actually even

443
00:22:52,520 --> 00:22:55,520
Speaker 1: more important. We still have not mentioned Kirsten Cinema, who

444
00:22:55,560 --> 00:22:59,679
Speaker 1: to date has been reported will not support any increase

445
00:22:59,760 --> 00:23:03,480
Speaker 1: in tax on a corporation or an individual. So that's

446
00:23:03,560 --> 00:23:06,840
Speaker 1: kind of the you know, main ballgame here, and a

447
00:23:06,880 --> 00:23:10,399
Speaker 1: carbon tax would one hundred apply. So even if you

448
00:23:10,440 --> 00:23:12,640
Speaker 1: did get Joe Manchin on board with a carbon tax,

449
00:23:12,680 --> 00:23:16,399
Speaker 1: which is actually a big if, and he's spoken spoken

450
00:23:16,440 --> 00:23:19,200
Speaker 1: on both sides of the issue over the last several decades,

451
00:23:19,400 --> 00:23:22,120
Speaker 1: there's no guarantee that Kirsten Cinema would vote for any

452
00:23:22,160 --> 00:23:25,399
Speaker 1: of that or support the Cinema has previously floated a

453
00:23:25,440 --> 00:23:28,960
Speaker 1: carbon tax as an alternative to tax it they say

454
00:23:29,000 --> 00:23:31,040
Speaker 1: it or whatever it comes down to, voting for it.

455
00:23:31,119 --> 00:23:32,720
Speaker 1: You know, it's like, are they actually going to do it?

456
00:23:32,800 --> 00:23:35,760
Speaker 1: I don't think so. Who knows. There a million barriers here.

457
00:23:35,880 --> 00:23:38,760
Speaker 1: And also Mansion. The very latest is that now he's saying, oh,

458
00:23:38,840 --> 00:23:41,000
Speaker 1: for the child tax credit, it's going to have to

459
00:23:41,080 --> 00:23:45,679
Speaker 1: be aggressively means tested, no one getting earning more than

460
00:23:45,720 --> 00:23:47,800
Speaker 1: sixty k can get it, and we've got to have

461
00:23:47,840 --> 00:23:54,000
Speaker 1: a hard work requirement in there, so significantly damaging effectively

462
00:23:54,040 --> 00:23:57,119
Speaker 1: the effectiveness of that program. So that's where we are,

463
00:23:57,280 --> 00:23:58,919
Speaker 1: right and I think it's important to say that that

464
00:23:59,080 --> 00:24:01,800
Speaker 1: is basically an again that is very very far apart

465
00:24:01,880 --> 00:24:04,520
Speaker 1: from people who are like Tammy Duckworth, Dick Durbin, so

466
00:24:04,680 --> 00:24:08,480
Speaker 1: not you know, Burnier, Elizabeth Warren. Increasingly, I just see

467
00:24:08,480 --> 00:24:11,200
Speaker 1: this whole thing as a morass. And the biggest problem

468
00:24:11,280 --> 00:24:13,680
Speaker 1: was is we've talked about this endlessly. Nobody knows what's

469
00:24:13,720 --> 00:24:16,320
Speaker 1: in the damn bill, so they can fight over it endlessly.

470
00:24:16,520 --> 00:24:20,520
Speaker 1: Most people do not care whatsoever about this. There's actually

471
00:24:20,560 --> 00:24:24,159
Speaker 1: a significant little amount of and what I mean significant,

472
00:24:24,160 --> 00:24:27,199
Speaker 1: like the level of public consciousness around the bill is

473
00:24:27,240 --> 00:24:30,720
Speaker 1: extraordinarily low. There's not a lot of people are more

474
00:24:30,760 --> 00:24:33,720
Speaker 1: pissed off about gas prices than they are anything about here.

475
00:24:33,760 --> 00:24:36,240
Speaker 1: And that's both the mess there's a massive messaging failure

476
00:24:36,480 --> 00:24:39,160
Speaker 1: on behalf of the Biden administration. It is also frankly

477
00:24:39,240 --> 00:24:41,560
Speaker 1: on the it's on the media as well. They really

478
00:24:41,600 --> 00:24:43,480
Speaker 1: just don't know how to cover a lot of this stuff.

479
00:24:43,520 --> 00:24:45,359
Speaker 1: I mean, most people would not even tell you about

480
00:24:45,400 --> 00:24:47,800
Speaker 1: Joe Manchin's positions on X, Y and Z what that

481
00:24:47,840 --> 00:24:50,320
Speaker 1: means substantively, a means test. I mean, most people may

482
00:24:50,359 --> 00:24:53,480
Speaker 1: not even know what a means test is. Necessarily. Sanders

483
00:24:53,480 --> 00:24:55,919
Speaker 1: did talk a little bit about this on the Sunday

484
00:24:55,960 --> 00:24:57,840
Speaker 1: shows of the weekend. Let's take a listen to what

485
00:24:57,880 --> 00:25:01,240
Speaker 1: he said again. I mean, I think, you know, I'm

486
00:25:01,280 --> 00:25:05,160
Speaker 1: not going to negotiate on TV, but I think there

487
00:25:05,240 --> 00:25:08,280
Speaker 1: is go but there is going to have to be

488
00:25:08,400 --> 00:25:10,960
Speaker 1: some give and take. But let's be clear. I mean,

489
00:25:11,160 --> 00:25:14,960
Speaker 1: we started this process in the in the Senate Budget Committee,

490
00:25:14,960 --> 00:25:18,760
Speaker 1: which our chair at a six trillion dollar amount, which

491
00:25:18,800 --> 00:25:21,440
Speaker 1: by the way, is the least of what we need

492
00:25:21,720 --> 00:25:25,000
Speaker 1: if we are in fact going to transform our energy

493
00:25:25,040 --> 00:25:28,680
Speaker 1: system and deal with the existential threat of climate all Right,

494
00:25:28,960 --> 00:25:32,119
Speaker 1: we came down from six to three and a half trillion. Okay,

495
00:25:32,160 --> 00:25:35,679
Speaker 1: that is a huge, huge compromise. So I think at

496
00:25:35,720 --> 00:25:38,119
Speaker 1: the very least, in my view, we have got to

497
00:25:38,119 --> 00:25:41,280
Speaker 1: be a three and a half trial. So there you go, Crystal,

498
00:25:41,440 --> 00:25:45,400
Speaker 1: you know, I mean, I just increasingly see Bernie over

499
00:25:45,440 --> 00:25:47,479
Speaker 1: here kind of representing one pole. I would say the

500
00:25:47,480 --> 00:25:50,359
Speaker 1: majority of the Democratic Caucus probably more towards the Bernie

501
00:25:50,400 --> 00:25:53,000
Speaker 1: Biden side than anywhere else. But then mantioned in cinema

502
00:25:53,160 --> 00:25:55,119
Speaker 1: not just over you know, on the left side for

503
00:25:55,119 --> 00:25:57,600
Speaker 1: those who are just who are just listening, but so

504
00:25:57,840 --> 00:26:02,280
Speaker 1: irreconcilably far different on the key provisions. I just don't

505
00:26:02,320 --> 00:26:04,800
Speaker 1: know how it could all come together. The White House

506
00:26:04,840 --> 00:26:08,080
Speaker 1: is apparently negotiating this. I mean, I don't trust them all.

507
00:26:08,119 --> 00:26:11,000
Speaker 1: They were being completely incompetent, in my opinion, over the

508
00:26:11,080 --> 00:26:13,720
Speaker 1: last year or so in the way that they've handled Congress.

509
00:26:13,760 --> 00:26:16,840
Speaker 1: So all of that together, we do have a fun

510
00:26:17,119 --> 00:26:19,679
Speaker 1: as we've been doing these breaking points polls. You got

511
00:26:19,720 --> 00:26:21,320
Speaker 1: a fun poll to show all of you. This is

512
00:26:21,359 --> 00:26:23,560
Speaker 1: my favorite one so far. Let's put this up there

513
00:26:23,600 --> 00:26:27,280
Speaker 1: on the screen. Do approve of the United States Congress? Yes?

514
00:26:27,600 --> 00:26:33,160
Speaker 1: Two percent? No, ninety four percent. I'm sure I want

515
00:26:33,200 --> 00:26:34,600
Speaker 1: to talk to that. I want to talk to that

516
00:26:34,680 --> 00:26:37,000
Speaker 1: Tom sent interview. That's a forty four that's out of

517
00:26:37,040 --> 00:26:40,560
Speaker 1: forty four thousand respondents. And again they all only hit

518
00:26:40,600 --> 00:26:44,760
Speaker 1: the wrong but yeah, probably remember not scientific any of that.

519
00:26:44,840 --> 00:26:47,240
Speaker 1: These are great fun though. We're seeing hundreds of thousands

520
00:26:47,240 --> 00:26:49,800
Speaker 1: of you in gaging. I mean, this is so when

521
00:26:49,800 --> 00:26:52,359
Speaker 1: we did the Biden the first approval rating one we

522
00:26:52,400 --> 00:26:54,280
Speaker 1: did was Biden, and I think he got like eighty

523
00:26:54,320 --> 00:26:57,640
Speaker 1: something percent. US seventy something said they did not approve

524
00:26:57,640 --> 00:26:59,680
Speaker 1: of him. But I was like, that's pretty bad. Then

525
00:26:59,680 --> 00:27:07,280
Speaker 1: we did Kamala in nineties. Yeah, let's see here, disapproval Okay, No, Yeah, Okay,

526
00:27:07,400 --> 00:27:09,920
Speaker 1: so this one is I thought that was maybe bottoming out.

527
00:27:10,080 --> 00:27:12,800
Speaker 1: But you guys feel even worse about Congress than you

528
00:27:12,880 --> 00:27:18,160
Speaker 1: do about Kamala. So that was an interesting, interesting piece

529
00:27:18,160 --> 00:27:21,760
Speaker 1: of information. But I think the American people have tuned

530
00:27:21,880 --> 00:27:25,840
Speaker 1: this out because they don't believe that it's gonna happen.

531
00:27:26,359 --> 00:27:28,320
Speaker 1: I mean, I think that's it. I think there's just

532
00:27:28,359 --> 00:27:33,240
Speaker 1: so much nihilism and sadly betting on the side of

533
00:27:33,359 --> 00:27:38,680
Speaker 1: like cynicism is all too often the right bet Biden

534
00:27:38,840 --> 00:27:41,480
Speaker 1: has really screwed this up, Like there's just no there's

535
00:27:41,520 --> 00:27:44,400
Speaker 1: really no excuse for it. Uh. He had a lot

536
00:27:44,440 --> 00:27:47,879
Speaker 1: of different tactical and strategic approaches he could have taken.

537
00:27:49,119 --> 00:27:51,960
Speaker 1: They have control of the House, the Senate, and the

538
00:27:51,960 --> 00:27:55,000
Speaker 1: White House. They could be doing they could have done

539
00:27:55,040 --> 00:27:56,240
Speaker 1: a lot more, and they could have done it a

540
00:27:56,240 --> 00:27:58,120
Speaker 1: lot faster, and they could have put a lot more

541
00:27:58,160 --> 00:28:03,800
Speaker 1: pressure on these transigent senators who we should also be clear,

542
00:28:03,960 --> 00:28:06,199
Speaker 1: like Mansion and Cinema are the ones that like to

543
00:28:06,240 --> 00:28:08,600
Speaker 1: get out front and like to sort of take the

544
00:28:08,640 --> 00:28:11,280
Speaker 1: incoming and take the heat. They are not the only

545
00:28:11,359 --> 00:28:14,240
Speaker 1: ones who are an issue here, that's right, Mark Warner.

546
00:28:14,440 --> 00:28:16,679
Speaker 1: Mark warners another there are others that they are that

547
00:28:16,720 --> 00:28:19,800
Speaker 1: are basically hiding behind mansion and cinema because they just

548
00:28:19,880 --> 00:28:22,960
Speaker 1: have a different political calculation in terms of what they

549
00:28:23,040 --> 00:28:26,080
Speaker 1: think is going to benefit them. But mansion and cinema

550
00:28:26,160 --> 00:28:29,280
Speaker 1: are not the only issue here, so it's hard to

551
00:28:29,280 --> 00:28:31,960
Speaker 1: see how this all comes together. Circling back to the

552
00:28:32,000 --> 00:28:35,880
Speaker 1: carbon tax thing and the climate stuff, I mean, progressives.

553
00:28:35,920 --> 00:28:38,800
Speaker 1: The one thing they said, they haven't been clear really

554
00:28:38,880 --> 00:28:41,000
Speaker 1: about any of their red lines in terms of the

555
00:28:41,080 --> 00:28:43,800
Speaker 1: dollar amount, or which programs have to be in, or

556
00:28:43,840 --> 00:28:46,600
Speaker 1: how they want to approach this, And they've been pushing for, Hey,

557
00:28:46,640 --> 00:28:48,680
Speaker 1: let's keep as many programs as possible and we can

558
00:28:48,720 --> 00:28:51,320
Speaker 1: just limit the time on it. That's been the approach

559
00:28:51,360 --> 00:28:53,800
Speaker 1: that they have favored in terms of negotiations. But the

560
00:28:53,840 --> 00:28:56,760
Speaker 1: one thing they have said from the beginning is no climate,

561
00:28:57,440 --> 00:29:01,520
Speaker 1: no deal, and Joe Manchin has basically just said no climate.

562
00:29:01,840 --> 00:29:05,320
Speaker 1: So take from that what you will. Yeah, no, that's right. Hey.

563
00:29:05,360 --> 00:29:08,920
Speaker 1: So remember how we told you how awesome premium membership was, Well,

564
00:29:08,960 --> 00:29:11,120
Speaker 1: here we are again to remind you that becoming a

565
00:29:11,120 --> 00:29:13,800
Speaker 1: premium member means you don't have to listen to our

566
00:29:13,880 --> 00:29:16,680
Speaker 1: constant please for you to subscribe. So what are you

567
00:29:16,680 --> 00:29:19,280
Speaker 1: waiting for become a premium member today by going to

568
00:29:19,360 --> 00:29:21,720
Speaker 1: Breakingpoints dot com, which you can click on in the

569
00:29:21,720 --> 00:29:24,880
Speaker 1: show notes. Okay, let's move on to this next one.

570
00:29:25,360 --> 00:29:27,360
Speaker 1: I've forgotten a lot of requests. Everyone's like, when are

571
00:29:27,400 --> 00:29:28,800
Speaker 1: you going to do an Epstein update? When are you

572
00:29:28,840 --> 00:29:30,920
Speaker 1: going to do an Epsteen update? We do it whenever

573
00:29:31,120 --> 00:29:34,720
Speaker 1: the news warrants, And we brought you previously that explosive

574
00:29:34,840 --> 00:29:38,520
Speaker 1: new reporting from Michael Wolfe's book. Again, none of this

575
00:29:38,640 --> 00:29:41,680
Speaker 1: was denied whatsoever by Steve Bannon that he sat with

576
00:29:41,800 --> 00:29:45,520
Speaker 1: Jeffrey Epstein for hours. Bannon claims it was for in interview.

577
00:29:45,560 --> 00:29:48,880
Speaker 1: Epstein was under the impression that he had hired Bannon

578
00:29:49,160 --> 00:29:53,479
Speaker 1: in order to bolster his image, and he was training media,

579
00:29:53,520 --> 00:29:56,800
Speaker 1: training him for a possible interview on sixty Minutes, which

580
00:29:56,960 --> 00:29:59,239
Speaker 1: never ended up happening. Epstein then got arrested and then

581
00:29:59,240 --> 00:30:02,800
Speaker 1: he died in prison. What we'll never know. Okay, he's dead,

582
00:30:02,840 --> 00:30:06,400
Speaker 1: that's all we know, right, Michael wolf in his new book,

583
00:30:06,400 --> 00:30:09,640
Speaker 1: and again all the caveats, it is Michael Wolfe. All

584
00:30:09,680 --> 00:30:11,720
Speaker 1: of that I can tell you. I've read a lot

585
00:30:11,720 --> 00:30:13,800
Speaker 1: of his work. Some of it was made up, but

586
00:30:13,920 --> 00:30:17,360
Speaker 1: a lot of it is sourcing what they call deep background,

587
00:30:17,400 --> 00:30:22,400
Speaker 1: as in he will string things together and then write

588
00:30:22,480 --> 00:30:25,480
Speaker 1: the account as if that's exactly what happened. Again, that's

589
00:30:25,480 --> 00:30:27,320
Speaker 1: not the best way to do journalism, so I think

590
00:30:27,400 --> 00:30:29,840
Speaker 1: people should take this with a grain of salt. However,

591
00:30:30,160 --> 00:30:33,360
Speaker 1: if this had been denied, then that would be one thing.

592
00:30:33,560 --> 00:30:36,560
Speaker 1: This central allegation around Steve Bannon was not. So at

593
00:30:36,640 --> 00:30:40,440
Speaker 1: least some of it seems to be factually correct. Well,

594
00:30:40,560 --> 00:30:42,440
Speaker 1: we now know that in the new book Let's put

595
00:30:42,440 --> 00:30:45,440
Speaker 1: this up there on the screen from Business Insider that

596
00:30:45,520 --> 00:30:50,520
Speaker 1: Epstein himself, according to this book, believed he could make

597
00:30:50,600 --> 00:30:54,400
Speaker 1: a deal to dodge sex trafficking charges by giving up

598
00:30:54,480 --> 00:30:59,320
Speaker 1: dirt on Trump or Bill Clinton after his twenty nineteen arrest,

599
00:30:59,600 --> 00:31:03,760
Speaker 1: and he discussed ways to restore his image with Steve Bannon.

600
00:31:04,040 --> 00:31:08,320
Speaker 1: And is really Prime Minister aud Barock. Now this actually

601
00:31:08,680 --> 00:31:11,920
Speaker 1: completely tracks and makes sense. I've previously talked about how

602
00:31:12,120 --> 00:31:16,040
Speaker 1: aud Barock was in all sorts of very strange business

603
00:31:16,040 --> 00:31:20,280
Speaker 1: deals with Jeffrey Epstein. He was seen coming in and

604
00:31:20,320 --> 00:31:23,680
Speaker 1: out of the famous New York City apartment, staying the

605
00:31:23,800 --> 00:31:27,680
Speaker 1: night over at Epstein's house sometimes while young women were

606
00:31:27,720 --> 00:31:31,520
Speaker 1: also seen entering the house. So aud Barock absolutely has

607
00:31:31,560 --> 00:31:35,680
Speaker 1: had multiple associational connections with Epstein, business connections and more.

608
00:31:35,920 --> 00:31:38,640
Speaker 1: That has long been pointed to by people who believe

609
00:31:38,680 --> 00:31:42,520
Speaker 1: Epstein possibly may have had ties to the intelligence community, etc.

610
00:31:43,000 --> 00:31:45,600
Speaker 1: I'll just put that out there. But the important part

611
00:31:45,680 --> 00:31:50,120
Speaker 1: is that from the discussions themselves, Epstein did believe that

612
00:31:50,920 --> 00:31:54,040
Speaker 1: he could strike some sort of deal with prosecutors because

613
00:31:54,080 --> 00:31:56,920
Speaker 1: he believed that the Trump DOJ would have two different

614
00:31:56,960 --> 00:31:59,720
Speaker 1: things that they wanted. Number One, they wanted to cover

615
00:31:59,840 --> 00:32:02,840
Speaker 1: up and possibly, you know, put to put the hold

616
00:32:02,880 --> 00:32:05,560
Speaker 1: on anything at Epstein knew about Trump. Now, look in

617
00:32:05,640 --> 00:32:08,200
Speaker 1: terms of the reporting on that one, Epstein was a

618
00:32:08,240 --> 00:32:11,520
Speaker 1: mar A Lago member back in two thousands and nineteen nineties.

619
00:32:11,760 --> 00:32:14,560
Speaker 1: Him and Trump apparently had a falling out, but Trump

620
00:32:14,600 --> 00:32:18,120
Speaker 1: has referenced previously and interviews saying, oh, Jeffrey, he likes

621
00:32:18,160 --> 00:32:19,840
Speaker 1: them young. So if they didn't know each other, there's

622
00:32:19,840 --> 00:32:23,640
Speaker 1: photos of them. Yeah, very creepy and all that. Clinton,

623
00:32:23,880 --> 00:32:26,440
Speaker 1: on the other hand, by the way, godspeed to him.

624
00:32:26,440 --> 00:32:28,320
Speaker 1: He was released from the hospital this weekend, so I'm

625
00:32:28,320 --> 00:32:31,080
Speaker 1: glad he's feeling better. But he has had a long,

626
00:32:31,680 --> 00:32:35,000
Speaker 1: long and sordid history with Epstein. He flew on his

627
00:32:35,040 --> 00:32:38,760
Speaker 1: private jet number of times. Remember that we previously saw

628
00:32:38,800 --> 00:32:42,000
Speaker 1: the report from his private island to the Virgin Islands.

629
00:32:42,120 --> 00:32:44,760
Speaker 1: Clinton claims he never went there. Well, the IT guy

630
00:32:44,800 --> 00:32:47,320
Speaker 1: who was on that island gave an interview in which

631
00:32:47,320 --> 00:32:50,520
Speaker 1: he said that he saw Clinton sitting there on that island.

632
00:32:50,560 --> 00:32:52,840
Speaker 1: Once again, I mean, maybe Clinton didn't know anything, but

633
00:32:52,880 --> 00:32:56,600
Speaker 1: there's photos of Clinton getting a massage from a known

634
00:32:56,720 --> 00:33:00,080
Speaker 1: Epstein traffic victim while he was on a trip with

635
00:33:00,240 --> 00:33:02,920
Speaker 1: Gilaane Maxwell. I believe she was of age at the

636
00:33:02,960 --> 00:33:06,000
Speaker 1: time she was giving the former president's massage. That's right anyway,

637
00:33:06,120 --> 00:33:07,760
Speaker 1: I think she was like nineteen. But I mean he

638
00:33:07,840 --> 00:33:10,400
Speaker 1: was also very creepy though, Crystal, because what they did

639
00:33:10,440 --> 00:33:11,960
Speaker 1: is they had her dress up in like a flight

640
00:33:12,000 --> 00:33:14,600
Speaker 1: attendant's uniform so that they can fly her all over

641
00:33:14,640 --> 00:33:17,080
Speaker 1: the globe. This was also whenever you know, they're meeting

642
00:33:17,120 --> 00:33:19,520
Speaker 1: Prince Andrew. This is but the time when they went

643
00:33:19,560 --> 00:33:21,560
Speaker 1: and sat on the throne. So there was a lot

644
00:33:21,560 --> 00:33:24,400
Speaker 1: of creepy stuff that was happening here. But in the

645
00:33:24,440 --> 00:33:28,280
Speaker 1: book they specifically point to Epstein thinking that he might

646
00:33:28,280 --> 00:33:30,000
Speaker 1: be able to avoid charges because he thought that the

647
00:33:30,000 --> 00:33:32,760
Speaker 1: Trump DOJ would one want to cover up what any

648
00:33:32,920 --> 00:33:35,960
Speaker 1: sort of past association with Trump back in the nineties,

649
00:33:36,080 --> 00:33:38,120
Speaker 1: but also that they would want him to give up

650
00:33:38,160 --> 00:33:42,280
Speaker 1: dirt on Bill Clinton. And he specifically mentioned, according to

651
00:33:42,360 --> 00:33:45,400
Speaker 1: Wolf's book, which again he sources to conversations with Steve

652
00:33:45,440 --> 00:33:48,000
Speaker 1: Bannon and Aide Brock. And remember those people might also

653
00:33:48,040 --> 00:33:50,080
Speaker 1: have an actra grind, but this is the best that

654
00:33:50,120 --> 00:33:53,520
Speaker 1: we have since Epstein is dead, that he specifically would

655
00:33:53,520 --> 00:33:56,760
Speaker 1: mention Clinton's sexual proclivities so that I've tried to be

656
00:33:56,760 --> 00:33:59,760
Speaker 1: as responsible as I can, yes, and putting that all together, well,

657
00:34:00,000 --> 00:34:04,920
Speaker 1: it's quite interesting. It's quite interesting there. According to this,

658
00:34:05,320 --> 00:34:08,719
Speaker 1: he had two theories of why he was arrested at

659
00:34:08,719 --> 00:34:13,080
Speaker 1: this time, which it's also an interesting like peek into

660
00:34:13,120 --> 00:34:15,279
Speaker 1: his mind that he wouldn't be like, oh, I got

661
00:34:15,360 --> 00:34:21,680
Speaker 1: arrested because I'm a criminal pedophile, sex trafficker, right, so

662
00:34:21,840 --> 00:34:23,680
Speaker 1: he was like, I've been getting away with us my

663
00:34:23,719 --> 00:34:27,000
Speaker 1: whole adult life, and so why am I being charged

664
00:34:27,040 --> 00:34:29,480
Speaker 1: and arrested right now? And he had sort of two

665
00:34:29,560 --> 00:34:34,120
Speaker 1: theories about that. One was that the Trump DOJ oneted

666
00:34:34,160 --> 00:34:37,080
Speaker 1: the goods on Clinton, yep, and the other was that

667
00:34:37,640 --> 00:34:44,400
Speaker 1: the New York prosecutors wanted the goods on Trump. So

668
00:34:44,560 --> 00:34:48,400
Speaker 1: that's why he thought, well, in either scenario, I can

669
00:34:48,440 --> 00:34:50,280
Speaker 1: play them off, I can give them what they want,

670
00:34:50,360 --> 00:34:52,920
Speaker 1: I can potentially strike a deal and listen, We'll never

671
00:34:53,000 --> 00:34:54,759
Speaker 1: know whether he would have been able to ultimately pull

672
00:34:54,800 --> 00:34:58,600
Speaker 1: that off. The other there's a couple other pieces here.

673
00:34:58,680 --> 00:35:06,359
Speaker 1: One is that he reportedly Bannon told Epstein that he

674
00:35:06,480 --> 00:35:10,239
Speaker 1: was the only person that he was afraid of in

675
00:35:10,320 --> 00:35:12,560
Speaker 1: the you know, in the campaign, and I guess maybe

676
00:35:12,560 --> 00:35:15,000
Speaker 1: even when Trump was in office, but that he Epstein

677
00:35:15,120 --> 00:35:17,440
Speaker 1: was the person that Bannon was fearful of and what

678
00:35:17,600 --> 00:35:21,080
Speaker 1: he might be able to tell the public. And Epstein

679
00:35:21,280 --> 00:35:25,839
Speaker 1: reportedly said, you should have been. So that's one other

680
00:35:25,880 --> 00:35:28,600
Speaker 1: piece which is interesting. And I don't know. Again, some

681
00:35:28,680 --> 00:35:32,240
Speaker 1: of this stuff is on video, and there's a transcript. Again,

682
00:35:32,320 --> 00:35:35,080
Speaker 1: these are direct quotes from a transcript which have not

683
00:35:35,200 --> 00:35:38,319
Speaker 1: been denied whatsoever by Steve Right. So some of this,

684
00:35:38,719 --> 00:35:42,600
Speaker 1: you know, he may have real receipts to back it up.

685
00:35:42,960 --> 00:35:46,480
Speaker 1: And then the other piece of this is that he

686
00:35:46,560 --> 00:35:50,680
Speaker 1: claims Michael Wolfe claims in this book that Epstein believed

687
00:35:50,920 --> 00:35:53,200
Speaker 1: Bill Barr was the one who was really pulling the string.

688
00:35:53,320 --> 00:35:55,080
Speaker 1: We have a tear in the White House. Let's go

689
00:35:55,080 --> 00:35:57,839
Speaker 1: ahead and throw that one up. Jeffrey Epstein bragged Bill

690
00:35:57,880 --> 00:36:05,399
Speaker 1: Barr was in charge. Not so apparently. Epstein said, at

691
00:36:05,400 --> 00:36:08,840
Speaker 1: the moment Bill Barr is in charge, it's Donald's pattern.

692
00:36:09,000 --> 00:36:11,520
Speaker 1: He lets someone else be in charge until other people

693
00:36:11,600 --> 00:36:13,799
Speaker 1: realize that someone other than him is in charge. When

694
00:36:13,840 --> 00:36:16,840
Speaker 1: that happens, you're no longer in charge. He said. The

695
00:36:16,920 --> 00:36:20,440
Speaker 1: motivation was simple. It was money. Bar believes he'll get

696
00:36:20,440 --> 00:36:22,920
Speaker 1: a big payday out of this if he keeps Donald

697
00:36:23,000 --> 00:36:26,239
Speaker 1: in office, manages to hold the Justice Department together and

698
00:36:26,280 --> 00:36:29,520
Speaker 1: help the Republican Party survive Donald. He thinks this is

699
00:36:29,560 --> 00:36:32,640
Speaker 1: worth big money to him. I speak from direct knowledge,

700
00:36:32,680 --> 00:36:35,759
Speaker 1: extremely direct trust me. So that's the other sort of

701
00:36:35,760 --> 00:36:40,040
Speaker 1: big bombshell here that was that's in this Michael Wolf book. Yeah,

702
00:36:40,080 --> 00:36:44,839
Speaker 1: I mean, this is really some explosive stuff. And once

703
00:36:44,880 --> 00:36:49,080
Speaker 1: again all of the caveats included there with Michael Wolf. However,

704
00:36:49,520 --> 00:36:52,160
Speaker 1: these are direct quotes from a transcript which have not

705
00:36:52,239 --> 00:36:54,360
Speaker 1: been denied. It's the same level of evidence that we

706
00:36:54,400 --> 00:36:56,600
Speaker 1: have on the Hunter Biden laptop, right, which is that

707
00:36:56,680 --> 00:36:59,000
Speaker 1: there's this laptop, there's all this stuff on it. If

708
00:36:59,040 --> 00:37:01,760
Speaker 1: it's not true. Hunter and the Biden people are welcome

709
00:37:01,800 --> 00:37:04,120
Speaker 1: to come out and say so, and they're not. Instead,

710
00:37:04,160 --> 00:37:07,440
Speaker 1: Bannon is giving an alternate explanation as to why the

711
00:37:07,480 --> 00:37:10,320
Speaker 1: transcript exists, as to why exactly he was shooting a

712
00:37:10,440 --> 00:37:13,120
Speaker 1: quote unquote documentary with Epstein. But oh, it's been a

713
00:37:13,120 --> 00:37:14,960
Speaker 1: couple of years. You know, it's weird, really weird. It

714
00:37:14,960 --> 00:37:17,920
Speaker 1: hasn't come out yet. I'm still waiting. I'm sure anybody

715
00:37:17,920 --> 00:37:20,359
Speaker 1: would love to see it. I would sign I'd pay

716
00:37:20,400 --> 00:37:23,000
Speaker 1: for it, yeah, in order to go and watch it.

717
00:37:23,080 --> 00:37:26,480
Speaker 1: So look, you have here this conversations source to a

718
00:37:26,560 --> 00:37:29,240
Speaker 1: transcript that has not been denied, conversations with the former

719
00:37:29,320 --> 00:37:32,040
Speaker 1: Israeli Prime Minister Ad Brock, who we know was a

720
00:37:32,080 --> 00:37:36,840
Speaker 1: deep associational connection, past business history and allmore with Epstein.

721
00:37:37,040 --> 00:37:40,080
Speaker 1: He's been named in some previous allegations by some other women,

722
00:37:40,360 --> 00:37:43,120
Speaker 1: and has been seen coming in and out, staying at

723
00:37:43,120 --> 00:37:46,120
Speaker 1: that hotel, saying at that townhouse. And we also have

724
00:37:46,239 --> 00:37:50,480
Speaker 1: here a specific what Epstein believed was his quote unquote

725
00:37:50,520 --> 00:37:54,600
Speaker 1: get out of jail free card, playing Trump and Bill

726
00:37:54,640 --> 00:37:57,759
Speaker 1: Clinton off of each other with direct knowledge of both

727
00:37:57,880 --> 00:38:01,320
Speaker 1: past social history. According to him. That's all we have again,

728
00:38:01,640 --> 00:38:04,200
Speaker 1: according to Even if we accept that this is what

729
00:38:04,280 --> 00:38:06,960
Speaker 1: he said in the transcripts, which seems more likely than

730
00:38:07,320 --> 00:38:10,359
Speaker 1: seems true, this is also the world according to Jeffrey Epstein. Right,

731
00:38:10,440 --> 00:38:14,000
Speaker 1: So take it for what it's worth. But that's a

732
00:38:14,000 --> 00:38:17,960
Speaker 1: good point. Pretty interesting stuff here, all right, Okay, Katie Kuric,

733
00:38:18,000 --> 00:38:21,360
Speaker 1: this was a long requested one. I find this to

734
00:38:21,560 --> 00:38:26,600
Speaker 1: just be an absolutely explosive account from Katie Kuric, who

735
00:38:26,680 --> 00:38:29,399
Speaker 1: I know is only revealing this now because she wants

736
00:38:29,480 --> 00:38:31,760
Speaker 1: to sell books. Yeah, but I think it's very important

737
00:38:31,800 --> 00:38:35,279
Speaker 1: for us to cover Crystal because here's the thing. If

738
00:38:35,280 --> 00:38:39,000
Speaker 1: she's willing to admit this, what are people sitting on

739
00:38:39,320 --> 00:38:41,520
Speaker 1: that we do not know about for those who have

740
00:38:41,560 --> 00:38:43,040
Speaker 1: not heard about this, And that's why this is a

741
00:38:43,080 --> 00:38:45,319
Speaker 1: much bigger media story to me in my opinion. Let's

742
00:38:45,320 --> 00:38:47,160
Speaker 1: put this up there on the screen, which is that

743
00:38:47,440 --> 00:38:52,959
Speaker 1: Katie Kuric covered up rbg's the late Supreme Court Justice

744
00:38:53,040 --> 00:38:57,360
Speaker 1: Ruth Bader Ginsburg's dislike for Colin Kaepernick and other NFL

745
00:38:57,400 --> 00:39:01,080
Speaker 1: players taking the knee back in twenty sixteen. Katie Kirk

746
00:39:01,160 --> 00:39:04,920
Speaker 1: says that she edited a twenty sixteen interview to quote

747
00:39:05,200 --> 00:39:09,200
Speaker 1: protect the Justice after she said people who kneil are

748
00:39:09,239 --> 00:39:14,279
Speaker 1: showing quote contempt for a government that made life possible. Now,

749
00:39:14,320 --> 00:39:17,920
Speaker 1: obviously that was an inflammatory political statement at the time,

750
00:39:18,160 --> 00:39:22,000
Speaker 1: but here's the important point. Katie Kuric says that she

751
00:39:22,160 --> 00:39:28,760
Speaker 1: did so specifically in order to protect Ginsburg's reputation because

752
00:39:28,760 --> 00:39:32,760
Speaker 1: she felt that Ginsburg had a quote blind spot whenever

753
00:39:32,800 --> 00:39:35,360
Speaker 1: it came to the issue of racial justice. And here's

754
00:39:35,400 --> 00:39:39,040
Speaker 1: the even more explosive part. Kurk claims that Ginsburg, who

755
00:39:39,120 --> 00:39:42,880
Speaker 1: was eighty three at the time, was quote elderly and

756
00:39:43,040 --> 00:39:47,080
Speaker 1: probably didn't fully understand the question. Now here's the thing,

757
00:39:47,320 --> 00:39:51,160
Speaker 1: the poor justice, right, So that was twenty sixteen. She

758
00:39:51,320 --> 00:39:55,560
Speaker 1: died many years later, twenty twenty. So that means there

759
00:39:55,560 --> 00:39:58,480
Speaker 1: were a lot of very important cases, as I recall Crystal,

760
00:39:58,719 --> 00:40:02,160
Speaker 1: which were decided in that time. So Katie Kuric, according

761
00:40:02,160 --> 00:40:05,880
Speaker 1: to her, had information where she believed that the former

762
00:40:05,880 --> 00:40:08,479
Speaker 1: Supreme Court justice was not all with it. And look,

763
00:40:08,520 --> 00:40:10,480
Speaker 1: I don't know either way. I know some people who

764
00:40:10,320 --> 00:40:13,759
Speaker 1: spoke to RBG. They claim she was with it. She

765
00:40:13,760 --> 00:40:16,680
Speaker 1: also survived multiple bouts of cancer. I mean, listen, you

766
00:40:16,719 --> 00:40:19,920
Speaker 1: know she was a lion in that regard. But we

767
00:40:20,000 --> 00:40:23,160
Speaker 1: have multiple things happening number one. Katie Kirk was arguably

768
00:40:23,160 --> 00:40:24,800
Speaker 1: this is one of the most famous journalists in America.

769
00:40:24,920 --> 00:40:27,600
Speaker 1: I mean, you know America. Sweethear Today's show all this

770
00:40:27,680 --> 00:40:30,000
Speaker 1: before my time. But I've read about it in terms

771
00:40:30,040 --> 00:40:34,520
Speaker 1: of what he's not very nice. You can tell that story.

772
00:40:34,800 --> 00:40:37,680
Speaker 1: But she was revered, I mean across his country. She

773
00:40:37,840 --> 00:40:41,200
Speaker 1: had the infamous Sarah Palin thing. I mean, everybody knew

774
00:40:41,200 --> 00:40:44,520
Speaker 1: who she was. She is outwardly admitting that in this

775
00:40:44,560 --> 00:40:47,560
Speaker 1: particular case, this twenty sixteen period, she sat on and

776
00:40:48,160 --> 00:40:52,240
Speaker 1: edited out a highly newsworthy clip. Look a liberal Supreme

777
00:40:52,280 --> 00:40:55,239
Speaker 1: Court justice poo pooing the kneeling protests at the time.

778
00:40:55,560 --> 00:40:58,279
Speaker 1: That's news. And if that happened to me, I can

779
00:40:58,320 --> 00:41:00,560
Speaker 1: tell you as a journalist, no matter whether I like

780
00:41:00,640 --> 00:41:03,960
Speaker 1: them or not, that's the first thing I clip and

781
00:41:04,160 --> 00:41:08,680
Speaker 1: put out there. It's about contributing to the discourse. If

782
00:41:08,800 --> 00:41:12,759
Speaker 1: RBG is too old to understand the question that's on RBG, yeah,

783
00:41:14,160 --> 00:41:17,919
Speaker 1: that is a total like bullshit, rational life. I agree

784
00:41:17,960 --> 00:41:20,600
Speaker 1: with you. She didn't want RBG to became exactly do

785
00:41:20,640 --> 00:41:23,400
Speaker 1: you want to protect her? And so she did include

786
00:41:24,160 --> 00:41:26,440
Speaker 1: in the article. She was with Yahoo News at the

787
00:41:26,440 --> 00:41:30,279
Speaker 1: time Katie Couric. She included that RBG said that that

788
00:41:30,600 --> 00:41:34,040
Speaker 1: the protest was quote dumb and disrespectful. But I just

789
00:41:34,040 --> 00:41:36,680
Speaker 1: want to read you the full quote because it's pretty inflammatory.

790
00:41:36,760 --> 00:41:38,680
Speaker 1: You can see why she was like, oh, this is

791
00:41:38,719 --> 00:41:40,680
Speaker 1: going to be a big problem for her if we

792
00:41:40,760 --> 00:41:44,200
Speaker 1: put this out. She said that the protest showed contempt

793
00:41:44,200 --> 00:41:46,160
Speaker 1: for a government that has made it possible for their

794
00:41:46,200 --> 00:41:49,440
Speaker 1: parents and grandparents to live a decent life, which they

795
00:41:49,520 --> 00:41:54,120
Speaker 1: probably could not have lived in the places they came from.

796
00:41:54,200 --> 00:41:57,600
Speaker 1: As they become older, they realized that this was youthful folly,

797
00:41:58,200 --> 00:42:03,879
Speaker 1: so very inflammatory and insensitive comments. No doubt this would

798
00:42:03,960 --> 00:42:08,560
Speaker 1: have been a massive scandal, And so it matters not

799
00:42:08,719 --> 00:42:12,960
Speaker 1: only because you know, if she isn't able to understand

800
00:42:12,960 --> 00:42:15,480
Speaker 1: the question, et cetera, et cetera, obviously that is significant,

801
00:42:15,520 --> 00:42:18,480
Speaker 1: but I think more to the point here, RBG has

802
00:42:18,520 --> 00:42:21,920
Speaker 1: been held up as like the quintessential do not know

803
00:42:22,040 --> 00:42:25,840
Speaker 1: wrong liberal icon, And as we've talked about on this

804
00:42:25,920 --> 00:42:30,040
Speaker 1: show before, when you create heroes out of these people

805
00:42:30,080 --> 00:42:32,520
Speaker 1: where they're just unimpeded, they're an icon and they're more

806
00:42:32,520 --> 00:42:37,160
Speaker 1: of a celebrity than they are in her case, unelected

807
00:42:37,440 --> 00:42:43,280
Speaker 1: extremely powerful official with the power to you know, change

808
00:42:43,400 --> 00:42:47,480
Speaker 1: law and interpret the constitution. It's really important that we

809
00:42:47,520 --> 00:42:50,799
Speaker 1: actually have a clear picture of who these people are.

810
00:42:51,120 --> 00:42:56,440
Speaker 1: Supreme Court justices sit for interviews so incredibly rarely. Yes,

811
00:42:56,960 --> 00:42:59,560
Speaker 1: i mean, look at Sam Briar right now. Everybody watches

812
00:42:59,560 --> 00:43:01,000
Speaker 1: what the guy says. He's like, is he going to

813
00:43:01,040 --> 00:43:03,439
Speaker 1: retire or write what's happening? Well, And that's the same

814
00:43:03,480 --> 00:43:06,080
Speaker 1: thing here. I mean, this is part of if you

815
00:43:06,160 --> 00:43:09,319
Speaker 1: are a liberal or progressive. There was a big conversation

816
00:43:09,400 --> 00:43:14,120
Speaker 1: about RBG needs to retire so that her seat can

817
00:43:14,160 --> 00:43:16,640
Speaker 1: be filled by Obamas so we can make sure that

818
00:43:16,680 --> 00:43:21,000
Speaker 1: we maintain liberals on the Supreme Court. And you know,

819
00:43:21,120 --> 00:43:24,160
Speaker 1: comments like this having a more full picture of what

820
00:43:24,320 --> 00:43:28,000
Speaker 1: her actual views are and massive blind spots with regards

821
00:43:28,040 --> 00:43:31,760
Speaker 1: to racial justice that may have more successfully put pressure

822
00:43:31,800 --> 00:43:33,839
Speaker 1: on her to retire at a time when she could

823
00:43:33,840 --> 00:43:36,319
Speaker 1: have been replaced by someone who would still be there.

824
00:43:36,680 --> 00:43:41,840
Speaker 1: So there's huge potential consequences to covering for a figure

825
00:43:42,040 --> 00:43:47,040
Speaker 1: with this type of immense power, and it's insane that

826
00:43:47,160 --> 00:43:50,160
Speaker 1: she did this. The other side note here is when

827
00:43:50,160 --> 00:43:52,200
Speaker 1: she was weighing this was like a big conundrums like,

828
00:43:52,200 --> 00:43:54,560
Speaker 1: oh geez, what do I do about this, which, again,

829
00:43:54,719 --> 00:43:57,520
Speaker 1: the fact that this is even a conundrum is crazy.

830
00:43:57,280 --> 00:44:00,560
Speaker 1: Like you said, no matter who we interview, if you

831
00:44:00,560 --> 00:44:04,040
Speaker 1: had this kind of bombshell, you would that would matter, right,

832
00:44:04,080 --> 00:44:05,760
Speaker 1: that would you would know, that would be the focus

833
00:44:05,760 --> 00:44:08,279
Speaker 1: of the story. So there's a big conundrum. She's doing

834
00:44:08,320 --> 00:44:11,279
Speaker 1: soul searching, there's an internal battle at Yahoo News and

835
00:44:11,320 --> 00:44:14,040
Speaker 1: all of this. The person she turned to for advice

836
00:44:14,840 --> 00:44:17,359
Speaker 1: David Brooks from The New Times. It was also an

837
00:44:17,400 --> 00:44:19,840
Speaker 1: opinion columnist. He's not a journalist, and he was the

838
00:44:19,880 --> 00:44:22,719
Speaker 1: one who was like, she probably didn't understand the class, yes,

839
00:44:22,719 --> 00:44:25,439
Speaker 1: so you should just take it out. And the last

840
00:44:25,440 --> 00:44:29,000
Speaker 1: piece of context here is after the interview aired. I

841
00:44:29,000 --> 00:44:33,400
Speaker 1: guess rbg's office either wrote or called Katie and Yahoo

842
00:44:33,480 --> 00:44:35,520
Speaker 1: News and was like, she didn't you know, she didn't

843
00:44:35,520 --> 00:44:37,839
Speaker 1: mean that. Can you take that part out? Et cetera,

844
00:44:37,920 --> 00:44:40,319
Speaker 1: et cetera. That's not the way that this works. That

845
00:44:40,440 --> 00:44:42,680
Speaker 1: is not the way that this work. I cannot believe

846
00:44:42,880 --> 00:44:45,840
Speaker 1: that A that she will admit it. B that it

847
00:44:46,000 --> 00:44:47,759
Speaker 1: just goes to show that she wasn't the only one

848
00:44:47,760 --> 00:44:50,040
Speaker 1: who knew. Here's the thing too, that people should understand

849
00:44:50,160 --> 00:44:53,719
Speaker 1: when you have these big network interviews type things. There's

850
00:44:53,719 --> 00:44:55,600
Speaker 1: a lot of people in the room. We're talking about cruise,

851
00:44:55,600 --> 00:44:58,359
Speaker 1: we're talking about editors, we're talking about there's sign off,

852
00:44:58,400 --> 00:45:02,799
Speaker 1: there's executives. She also called a former head of ABC

853
00:45:03,120 --> 00:45:05,239
Speaker 1: News and he was like, you got to keep this

854
00:45:05,320 --> 00:45:07,640
Speaker 1: in there, and she didn't listen. If you're that guy,

855
00:45:07,800 --> 00:45:10,280
Speaker 1: what are you doing? You're sitting on the head a

856
00:45:10,360 --> 00:45:13,120
Speaker 1: huge scoop. I mean, you should call ABC and be like, hey,

857
00:45:13,120 --> 00:45:15,080
Speaker 1: you're not gonna believe what Katie Kuric did over there.

858
00:45:15,200 --> 00:45:17,640
Speaker 1: But when you go on you work for everybody. There's

859
00:45:17,640 --> 00:45:20,080
Speaker 1: a lot of business to protect these types of secrets.

860
00:45:20,160 --> 00:45:22,600
Speaker 1: They can stay there. It really makes me wonder, what

861
00:45:22,719 --> 00:45:24,760
Speaker 1: are what are people sitting on? I have no idea.

862
00:45:25,360 --> 00:45:27,160
Speaker 1: One of the best things that ever happened during the

863
00:45:27,200 --> 00:45:30,399
Speaker 1: Trump years was remember whenever he just released the full

864
00:45:30,480 --> 00:45:33,239
Speaker 1: video of sixty minutes interview. He was like, I'm these

865
00:45:33,280 --> 00:45:35,520
Speaker 1: like screw sixty minutes and he just released it. He

866
00:45:35,600 --> 00:45:37,439
Speaker 1: ended up looking like a buffoon, and he feels worse.

867
00:45:37,520 --> 00:45:40,040
Speaker 1: But I mean I was like, hey, this is actually great.

868
00:45:40,080 --> 00:45:43,319
Speaker 1: I'd much rather see the full thing. This is the

869
00:45:43,320 --> 00:45:47,240
Speaker 1: thing about these edited cutting room floor. If they're willing

870
00:45:47,280 --> 00:45:50,000
Speaker 1: to admit several years later. Now she's dead, Now it

871
00:45:50,000 --> 00:45:52,960
Speaker 1: doesn't matter anymore. What else are people sitting on? That's

872
00:45:53,000 --> 00:45:55,080
Speaker 1: what I want to know. And I have seen many

873
00:45:55,120 --> 00:45:57,200
Speaker 1: of these types of productions in the White House. You know,

874
00:45:57,400 --> 00:46:00,839
Speaker 1: the ABC Good Morning America, George Stephani shows up, they

875
00:46:00,840 --> 00:46:03,080
Speaker 1: have thirty hours of footage. What are people sitting on

876
00:46:03,160 --> 00:46:06,520
Speaker 1: with the Biden administration? I mean, that's a real Obama.

877
00:46:06,640 --> 00:46:10,040
Speaker 1: I mean what clips are there of Obama with people

878
00:46:10,080 --> 00:46:14,000
Speaker 1: talking and more that were never released? We will never know. Well,

879
00:46:14,040 --> 00:46:15,880
Speaker 1: and you know, one hundred percent, if this was a

880
00:46:15,880 --> 00:46:19,040
Speaker 1: conservative Supreme courtal un Yeah, it's out, it'd be out immediately.

881
00:46:19,080 --> 00:46:21,480
Speaker 1: There'd be no soul searching and called it David Brooks,

882
00:46:21,560 --> 00:46:23,560
Speaker 1: what do I do? Did he really understand the question

883
00:46:23,719 --> 00:46:26,200
Speaker 1: or whatever? No, it would be put out as well

884
00:46:26,320 --> 00:46:30,960
Speaker 1: it should. Yes, it says everything that the instinct of

885
00:46:31,040 --> 00:46:34,680
Speaker 1: Katie Kirk in that moment was to protect the powerful

886
00:46:35,239 --> 00:46:38,319
Speaker 1: rather than to protect the people who might be impacted

887
00:46:38,880 --> 00:46:42,960
Speaker 1: by the decisions of this woman. Right. That says everything

888
00:46:43,280 --> 00:46:47,120
Speaker 1: about how our journalists class actually sees themselves. And again,

889
00:46:47,600 --> 00:46:50,360
Speaker 1: Katie Kirk is as big as they come, she is

890
00:46:50,440 --> 00:46:54,160
Speaker 1: as influential, She's as much of an a list journalist

891
00:46:54,200 --> 00:46:56,040
Speaker 1: as you could possibly be, although at this point she

892
00:46:56,120 --> 00:46:57,759
Speaker 1: was at Yahoo News, so that was a little bit

893
00:46:57,800 --> 00:47:01,480
Speaker 1: of a come down for her. But that is the

894
00:47:01,520 --> 00:47:05,760
Speaker 1: way that our journalists class sees themselves and their rule.

895
00:47:06,160 --> 00:47:09,759
Speaker 1: How do I protect the powerful and make sure that

896
00:47:09,960 --> 00:47:12,839
Speaker 1: they're okay versus how do I make sure that the

897
00:47:12,840 --> 00:47:16,799
Speaker 1: public has the information they need to be okay? I

898
00:47:16,800 --> 00:47:19,400
Speaker 1: think that says it all completely outrageous. Maybe they'll finally

899
00:47:19,440 --> 00:47:23,399
Speaker 1: take these RBG flags out down that are all around DC.

900
00:47:23,480 --> 00:47:25,320
Speaker 1: I would fully support that, even if this is the

901
00:47:25,760 --> 00:47:27,800
Speaker 1: reason they're not going to cover this story on CNN

902
00:47:27,880 --> 00:47:31,719
Speaker 1: or MSNBC. So actually, apparently Brian Stelter talked about it,

903
00:47:31,920 --> 00:47:33,520
Speaker 1: to his credit, so, I mean he talked about it.

904
00:47:33,560 --> 00:47:35,400
Speaker 1: He's like, this is terrible, you know, it's like a

905
00:47:35,440 --> 00:47:37,960
Speaker 1: one time thing. Unfortunate watches this show just to one

906
00:47:37,960 --> 00:47:41,400
Speaker 1: we'll never know. That's right. Speaking of CNN, all the

907
00:47:41,520 --> 00:47:44,160
Speaker 1: terrible things that happen over there on that network, you'll

908
00:47:44,200 --> 00:47:49,680
Speaker 1: recall we covered the great conversation between podcaster Joe Rogan

909
00:47:49,880 --> 00:47:52,960
Speaker 1: and doctor Sanjay Gupta. They had a very spirited discussion

910
00:47:53,320 --> 00:47:57,600
Speaker 1: around full vaccination myocarditis, whether children should get it, et cetera.

911
00:47:57,800 --> 00:48:01,719
Speaker 1: It was actually pretty cordial. We play the particular part

912
00:48:01,760 --> 00:48:05,040
Speaker 1: here on the show where Rogan grills Sanjay Gupta and

913
00:48:05,080 --> 00:48:06,960
Speaker 1: gets Gupta to admit that they should have not have

914
00:48:07,120 --> 00:48:10,959
Speaker 1: called ivermectin quote horse d Wormer while on the air.

915
00:48:11,120 --> 00:48:15,560
Speaker 1: It's explicitly saying repeatedly that Rogan consumed horse Dy Warmer,

916
00:48:15,600 --> 00:48:19,120
Speaker 1: which Rogan, I think rightfully sees as you know, a

917
00:48:19,120 --> 00:48:21,759
Speaker 1: slander against him and really defamation. But you know, given

918
00:48:21,800 --> 00:48:23,959
Speaker 1: the laws and all that, it really wasn't gonna work. Well.

919
00:48:24,760 --> 00:48:28,560
Speaker 1: What is really disgraceful, in my opinion, is that CNN

920
00:48:28,920 --> 00:48:33,200
Speaker 1: then dragged Gupta on the air of the network and

921
00:48:33,280 --> 00:48:38,600
Speaker 1: basically forced him to retract his comments about Ivermectin and

922
00:48:38,640 --> 00:48:43,359
Speaker 1: Horsety Warmer and Don Lemon essentially makes Gupta sit there

923
00:48:43,440 --> 00:48:46,360
Speaker 1: during this struggle session where he's like, we didn't do

924
00:48:46,440 --> 00:48:50,759
Speaker 1: anything wrong, right, Sanjay, and gets Gupta to like say, like, yes,

925
00:48:50,880 --> 00:48:54,879
Speaker 1: it's correct, there's no evidence around ivermectin all that. I mean,

926
00:48:55,160 --> 00:48:57,279
Speaker 1: what I take away from this group does in an

927
00:48:57,320 --> 00:49:01,440
Speaker 1: extraordinarily difficult position. I took away from the interview with

928
00:49:01,520 --> 00:49:04,880
Speaker 1: Rogan that he is a genuinely good person at least

929
00:49:05,000 --> 00:49:06,759
Speaker 1: that's what it came across from me. I think he

930
00:49:06,800 --> 00:49:10,160
Speaker 1: was coming at this honestly. He clearly listens to Rogan.

931
00:49:10,239 --> 00:49:12,880
Speaker 1: He wanted to communicate something, and I thought he was

932
00:49:12,960 --> 00:49:16,200
Speaker 1: as straight shooter as they come kind of within that industry.

933
00:49:16,200 --> 00:49:18,640
Speaker 1: I've met him before and is an extraordinarily nice person.

934
00:49:18,920 --> 00:49:21,440
Speaker 1: But on CNN it just goes to show that if

935
00:49:21,440 --> 00:49:23,960
Speaker 1: you want to protect your job, to survive in this industry,

936
00:49:24,520 --> 00:49:27,480
Speaker 1: you have to just like basically conform and you know,

937
00:49:27,600 --> 00:49:30,719
Speaker 1: spit out the party line. I'm really not exaggerating here.

938
00:49:31,280 --> 00:49:33,279
Speaker 1: Just for those who are listening, I actually encourage you

939
00:49:33,360 --> 00:49:35,680
Speaker 1: to watch this clip just so that you can see

940
00:49:35,719 --> 00:49:39,200
Speaker 1: how much they make him squirm. Watch Don Lemon basically

941
00:49:39,200 --> 00:49:42,520
Speaker 1: whip Sanjay Gupta into compliance, saying that they didn't do

942
00:49:42,560 --> 00:49:44,719
Speaker 1: anything wrong. Let's take a listen, so very im pot.

943
00:49:44,800 --> 00:49:47,160
Speaker 1: I know it's in large part of tongue in cheek interview,

944
00:49:47,400 --> 00:49:49,400
Speaker 1: you know, because it's still Rogan and there's lots you're

945
00:49:49,480 --> 00:49:53,720
Speaker 1: jockeying back and forth. But he did say something about

946
00:49:53,840 --> 00:49:58,560
Speaker 1: ivermectin that I think wasn't actually correct about CNN and lying. Okay,

947
00:49:59,160 --> 00:50:03,640
Speaker 1: Ivermectin is a drug that is commonly used as a

948
00:50:03,719 --> 00:50:06,680
Speaker 1: horse dewormer, So it is not a lie to say

949
00:50:06,719 --> 00:50:10,359
Speaker 1: that the drug is used as a horse dewormer. I

950
00:50:10,360 --> 00:50:16,280
Speaker 1: think that's important. And it is not approved for COVID, correct,

951
00:50:16,360 --> 00:50:20,360
Speaker 1: that's right, that's correct. It is not approved for COVID.

952
00:50:20,480 --> 00:50:23,160
Speaker 1: And you're right. I mean, the FDA even put out

953
00:50:23,160 --> 00:50:26,239
Speaker 1: a statement saying, you know, basically reminding people. It was

954
00:50:26,280 --> 00:50:28,560
Speaker 1: a strange sort of message from the FDA, but that said,

955
00:50:28,800 --> 00:50:31,479
Speaker 1: you're not a horse, you're not a cow. Stopped taking

956
00:50:31,560 --> 00:50:34,839
Speaker 1: this stuff. Is essentially what they said referring to ivermectin. Now,

957
00:50:34,880 --> 00:50:38,120
Speaker 1: I think what Joe's point, that has been proved for humans,

958
00:50:38,120 --> 00:50:41,920
Speaker 1: but not necessarily for COVID, right, Yeah, that's correct. It's

959
00:50:41,920 --> 00:50:44,560
Speaker 1: been It's been used for a parasitic disease, for something

960
00:50:44,760 --> 00:50:48,359
Speaker 1: it's called river blindness, and it's been very effective for that.

961
00:50:48,800 --> 00:50:50,759
Speaker 1: But you know, just because it works for one thing

962
00:50:51,160 --> 00:50:53,719
Speaker 1: doesn't mean it works for something else. And you know,

963
00:50:53,760 --> 00:50:57,520
Speaker 1: there's still a few ongoing clinical trials around ivermectin, but

964
00:50:57,600 --> 00:50:59,240
Speaker 1: for the most part, if you look at the data,

965
00:50:59,520 --> 00:51:03,040
Speaker 1: there's no evidence that it really works. Here when Joe

966
00:51:03,080 --> 00:51:07,200
Speaker 1: got sick, he took iramcton he also took monoclonal anti bodies,

967
00:51:07,760 --> 00:51:10,319
Speaker 1: which is, you know, an infusion of these antibodies. So

968
00:51:10,360 --> 00:51:13,000
Speaker 1: he took both those things. It's very likely it was

969
00:51:13,000 --> 00:51:17,040
Speaker 1: the monoclonal antibodies that made him feel better so quickly. Sonjay,

970
00:51:17,239 --> 00:51:20,359
Speaker 1: always a pleasure. I hope this was an easier experience

971
00:51:21,160 --> 00:51:23,439
Speaker 1: than Joe Rogan. You held your own. No, it's very good.

972
00:51:23,600 --> 00:51:26,040
Speaker 1: Three hours. I mean, I don't think I've ever spoken

973
00:51:26,040 --> 00:51:28,600
Speaker 1: to another human for three hours before. Just like that.

974
00:51:28,680 --> 00:51:32,520
Speaker 1: It was really something, Sonjay, Thank you. Best of luck

975
00:51:32,560 --> 00:51:35,040
Speaker 1: with the book is Battle World War See, thank you.

976
00:51:37,080 --> 00:51:39,160
Speaker 1: That's a pretty remarkable interview there, Chrystal. He's like, oh,

977
00:51:39,200 --> 00:51:40,839
Speaker 1: we didn't do anything wrong. I mean, you know, I mean,

978
00:51:40,880 --> 00:51:43,080
Speaker 1: and it's funny. I've seen these memes going around where

979
00:51:43,120 --> 00:51:45,920
Speaker 1: it's like Joe Rogan drinks water and they're like and

980
00:51:46,000 --> 00:51:51,000
Speaker 1: CNN is like, Joe Rogan consumes liquid, sometimes uses an engine,

981
00:51:51,239 --> 00:51:56,120
Speaker 1: you know, carbon engine coolingthing like that. Look Rogan, all

982
00:51:56,160 --> 00:51:58,640
Speaker 1: that other stuff aside, can't you just admit that he

983
00:51:58,719 --> 00:52:02,360
Speaker 1: screwed it up? See it just be like listen, Sanjay

984
00:52:02,640 --> 00:52:04,680
Speaker 1: made a good point. They also put you know, point

985
00:52:04,680 --> 00:52:07,799
Speaker 1: out of the evidence or whatever around ivermectin. That's fine,

986
00:52:07,800 --> 00:52:10,279
Speaker 1: but they still force him to come on the air

987
00:52:10,480 --> 00:52:12,400
Speaker 1: for his struggle session to be like, no, no, we

988
00:52:12,440 --> 00:52:14,560
Speaker 1: didn't do anything wrong, we didn't do it, and he's

989
00:52:14,600 --> 00:52:17,560
Speaker 1: just sitting there. He's like stoneface. It's repulsive. There's a

990
00:52:17,600 --> 00:52:19,560
Speaker 1: couple of things that are funny about it. First of all,

991
00:52:19,600 --> 00:52:21,960
Speaker 1: I like the way that Lemon frames at the beginning

992
00:52:22,000 --> 00:52:24,680
Speaker 1: as a tongue in cheek interview. Yes, that he did

993
00:52:24,719 --> 00:52:27,319
Speaker 1: with Ross as a way to diminish it, like, oh

994
00:52:27,360 --> 00:52:29,600
Speaker 1: we get you know, as a way to give him

995
00:52:29,640 --> 00:52:32,279
Speaker 1: a pass for going on with the you know, with

996
00:52:32,360 --> 00:52:34,600
Speaker 1: the terrible Joe Rogan. It was tongue in cheek. It

997
00:52:34,640 --> 00:52:38,120
Speaker 1: wasn't wasn't a serious thing. What in reality, the conversation

998
00:52:38,200 --> 00:52:40,080
Speaker 1: that they had over the course of three hours, going

999
00:52:40,120 --> 00:52:42,600
Speaker 1: back and forth and citing evidence and talking to each

1000
00:52:42,640 --> 00:52:45,279
Speaker 1: other about the risk factors and you know, digging into

1001
00:52:45,320 --> 00:52:49,160
Speaker 1: the statistics was a million times more serious than what

1002
00:52:49,200 --> 00:52:51,600
Speaker 1: they do on CNN all day long, and certainly what

1003
00:52:51,600 --> 00:52:54,560
Speaker 1: they did on CNN right there. There's another moment there

1004
00:52:54,640 --> 00:52:58,120
Speaker 1: that I think is very revealing, though, where Goofa starts

1005
00:52:58,160 --> 00:53:00,480
Speaker 1: to say, I think the point that Joe is trying

1006
00:53:00,520 --> 00:53:03,600
Speaker 1: to make and then Lemon jumps in and cuts him

1007
00:53:03,640 --> 00:53:06,800
Speaker 1: off because it seems like Gupta is about to say

1008
00:53:06,840 --> 00:53:09,520
Speaker 1: like he was trying to make the point like I

1009
00:53:09,640 --> 00:53:13,080
Speaker 1: didn't take horsty wormer. I took the human version, and

1010
00:53:13,120 --> 00:53:16,759
Speaker 1: that that is extraordinarily common. And know it, there isn't

1011
00:53:16,800 --> 00:53:20,920
Speaker 1: a lot of evidence that it's effective for coronavirus, but

1012
00:53:21,120 --> 00:53:23,600
Speaker 1: there is evidence that it's effective for other things like

1013
00:53:23,719 --> 00:53:26,960
Speaker 1: river blindness is grouped to points out here, and you know,

1014
00:53:27,000 --> 00:53:30,560
Speaker 1: he references the evidence, which is important. But yeah, I

1015
00:53:30,600 --> 00:53:34,040
Speaker 1: mean the obvious takeaway from that interview should have been

1016
00:53:34,360 --> 00:53:36,759
Speaker 1: you know what, guys, we got this wrong. Look, there

1017
00:53:36,840 --> 00:53:40,400
Speaker 1: are some people who, because there's been a run on ivermectin,

1018
00:53:40,520 --> 00:53:43,359
Speaker 1: have been taking the livestock version. They shouldn't do that,

1019
00:53:43,600 --> 00:53:47,440
Speaker 1: it's not safe. But Rogan is not one of those people.

1020
00:53:47,960 --> 00:53:52,040
Speaker 1: And to act like ivermectin that across the board the

1021
00:53:52,120 --> 00:53:55,120
Speaker 1: only thing it's used for is horsty worming is just

1022
00:53:55,360 --> 00:53:58,319
Speaker 1: a lie. It's just not true. That's true. And the

1023
00:53:58,400 --> 00:54:01,680
Speaker 1: more the real point that Joe made I thought very

1024
00:54:01,680 --> 00:54:03,960
Speaker 1: effectively with Sanjo, which of course they're not going to

1025
00:54:04,040 --> 00:54:07,120
Speaker 1: get to at all, is that when you lie about

1026
00:54:07,120 --> 00:54:10,360
Speaker 1: something basic like that, What does it do to people's

1027
00:54:10,440 --> 00:54:13,799
Speaker 1: trust of what you're saying on anything? And that's the

1028
00:54:13,840 --> 00:54:17,640
Speaker 1: real issue here. It's not about Rogan or what he

1029
00:54:17,680 --> 00:54:21,800
Speaker 1: took or his ego or any It's about you lied

1030
00:54:21,880 --> 00:54:25,960
Speaker 1: on something super basic. And even now when you're caught

1031
00:54:26,360 --> 00:54:30,800
Speaker 1: red handed, you still can't admit it. You still can't say,

1032
00:54:30,920 --> 00:54:33,280
Speaker 1: you know what, we got this wrong in this way,

1033
00:54:33,360 --> 00:54:35,200
Speaker 1: and we wish we'd said it in a different way.

1034
00:54:35,600 --> 00:54:37,279
Speaker 1: Let's move forward, and we're going to do better. No,

1035
00:54:37,480 --> 00:54:39,799
Speaker 1: just say that, that's it. That's all we want, that's all.

1036
00:54:39,880 --> 00:54:42,360
Speaker 1: And you know, it's just I always think back to that,

1037
00:54:42,440 --> 00:54:45,080
Speaker 1: which is that in the past whenever CNN and other

1038
00:54:45,200 --> 00:54:47,200
Speaker 1: organizations would screw up like this, just like, listen, we

1039
00:54:47,239 --> 00:54:50,239
Speaker 1: screwed up. This was something, or even say this our

1040
00:54:50,960 --> 00:54:55,160
Speaker 1: opinion commentators made a claim it was inaccurate. We're sorry

1041
00:54:55,480 --> 00:54:57,480
Speaker 1: and we do. You know, that's not something that we're

1042
00:54:57,480 --> 00:54:59,799
Speaker 1: going to stand by. And I just love a being like,

1043
00:54:59,800 --> 00:55:01,799
Speaker 1: oh is a tongue in cheek interviews like anybody going

1044
00:55:01,800 --> 00:55:03,439
Speaker 1: on CNN that should be the real tongue in cheek

1045
00:55:03,680 --> 00:55:06,280
Speaker 1: for this country. But if you want to know really

1046
00:55:06,440 --> 00:55:09,320
Speaker 1: how the media did treat Joe whenever. This was that

1047
00:55:09,440 --> 00:55:11,359
Speaker 1: whenever he was sick. I mean, frankly, in might opinion,

1048
00:55:11,360 --> 00:55:14,000
Speaker 1: they were wishing him ill. This is how they actually

1049
00:55:14,080 --> 00:55:17,600
Speaker 1: spoke about him. Let's take listen to this. CNN is saying,

1050
00:55:17,640 --> 00:55:20,960
Speaker 1: I'm taking horsty Warmer Brogan telling his thirteen million Instagram

1051
00:55:20,960 --> 00:55:22,880
Speaker 1: followers that he was treated with several drugs, and he

1052
00:55:22,920 --> 00:55:27,000
Speaker 1: included ivermectin on the list, a drug used for livestock.

1053
00:55:27,160 --> 00:55:30,240
Speaker 1: Rogan said the word ivermectin. Yes, that's the de worming

1054
00:55:30,280 --> 00:55:33,399
Speaker 1: medicine made to kill parasites and farm animals. Why would

1055
00:55:33,440 --> 00:55:36,080
Speaker 1: they lie and say that's horsty warmer. So things are

1056
00:55:36,080 --> 00:55:38,719
Speaker 1: clearly bad, but they're being made even worse by people

1057
00:55:38,760 --> 00:55:41,759
Speaker 1: who have refused to take the vaccine and instead are

1058
00:55:41,800 --> 00:55:44,600
Speaker 1: swallowing horse paste. Wait wait, wait, wait wait, say he

1059
00:55:45,120 --> 00:55:48,560
Speaker 1: said that he got better because he he said hady warmer.

1060
00:55:48,800 --> 00:55:51,160
Speaker 1: They must know that that's a lie. You have individuals

1061
00:55:51,160 --> 00:55:54,239
Speaker 1: like Joe Rogan, for example, who who don't want to

1062
00:55:54,280 --> 00:55:57,360
Speaker 1: take an experimental vaccine but will take horse de warmer.

1063
00:55:59,080 --> 00:56:01,759
Speaker 1: I mean, we could play even more of that if

1064
00:56:01,800 --> 00:56:04,680
Speaker 1: we wanted to. You know, that was CNN and MSNBC,

1065
00:56:04,880 --> 00:56:08,000
Speaker 1: and I think it's very important that people understand how

1066
00:56:08,040 --> 00:56:10,840
Speaker 1: these people were talking about it, why they should just

1067
00:56:10,920 --> 00:56:13,040
Speaker 1: retract it and just say, look, that's not what we

1068
00:56:13,040 --> 00:56:15,799
Speaker 1: were meant or you know, Sanjay was right. And at

1069
00:56:15,800 --> 00:56:17,520
Speaker 1: the end of the day, the fact that they had

1070
00:56:17,600 --> 00:56:20,200
Speaker 1: to bring him on the air and basically like publicly

1071
00:56:20,239 --> 00:56:22,560
Speaker 1: whip him and say no, no, no no, we actually did

1072
00:56:22,719 --> 00:56:25,920
Speaker 1: everything okay, I think that's really disgraceful, Crystal, it is disgraceful.

1073
00:56:26,239 --> 00:56:29,840
Speaker 1: The other thing is I believe that he got a

1074
00:56:29,840 --> 00:56:33,360
Speaker 1: lot of pushback. Sandya Gupta did oh even doing the interview.

1075
00:56:33,920 --> 00:56:35,759
Speaker 1: He wrote a not bad about it. I believe that

1076
00:56:35,840 --> 00:56:38,800
Speaker 1: this was a sort of professional risk for him, and

1077
00:56:38,880 --> 00:56:42,400
Speaker 1: that in terms of his social set and in terms

1078
00:56:42,440 --> 00:56:46,120
Speaker 1: of you know, the people who are his friends at CNN,

1079
00:56:46,800 --> 00:56:49,280
Speaker 1: they thought this was a terrible idea, that he shouldn't

1080
00:56:49,320 --> 00:56:51,680
Speaker 1: go on there, that he shouldn't you know, quote unquote

1081
00:56:51,760 --> 00:56:56,520
Speaker 1: legitimized Rogan, who has a like wildly larger audience than

1082
00:56:56,520 --> 00:56:59,520
Speaker 1: they do. And so I do want to still give

1083
00:56:59,719 --> 00:57:02,799
Speaker 1: him a lot of credit for doing it anyway, for

1084
00:57:02,920 --> 00:57:06,200
Speaker 1: doing effective, for engaging in good faith, and I think

1085
00:57:06,239 --> 00:57:11,880
Speaker 1: that that conversation did way more to educate people who

1086
00:57:12,160 --> 00:57:15,080
Speaker 1: may have had some questions, have not already been exactly

1087
00:57:15,080 --> 00:57:19,120
Speaker 1: in the place that Goupta is than anything that he's

1088
00:57:19,120 --> 00:57:21,640
Speaker 1: done on CNN this entire time. I think that's exactly right.

1089
00:57:22,080 --> 00:57:25,600
Speaker 1: So breaking news this morning, Crystal Colon Powell's family announced

1090
00:57:25,600 --> 00:57:29,720
Speaker 1: that he died this morning from complications due to COVID nineteen.

1091
00:57:29,840 --> 00:57:32,800
Speaker 1: He was the former Secretary of State during the Iraq War,

1092
00:57:34,960 --> 00:57:37,360
Speaker 1: chairman of the Joint Chiees of Staff, all of that.

1093
00:57:37,440 --> 00:57:40,440
Speaker 1: He died from complications due to COVID, despite the fact

1094
00:57:40,680 --> 00:57:43,840
Speaker 1: that he was fully vaccinated. He was eighty four years old,

1095
00:57:43,920 --> 00:57:46,280
Speaker 1: you know, to be clear in terms of what he

1096
00:57:46,360 --> 00:57:49,400
Speaker 1: was facing there. And it was at Walter Reed National

1097
00:57:49,440 --> 00:57:52,880
Speaker 1: Medical Center. So this is a big, big development here.

1098
00:57:53,120 --> 00:57:55,360
Speaker 1: It's stunning that, you know, eight that he died. He

1099
00:57:55,440 --> 00:57:57,640
Speaker 1: was fully vaccinated. We both tried. We were unable to

1100
00:57:57,640 --> 00:58:01,880
Speaker 1: determine which vaccine which he received. But yeah, we should

1101
00:58:01,920 --> 00:58:04,640
Speaker 1: look at this and really just look. Colin Powell was

1102
00:58:04,680 --> 00:58:08,000
Speaker 1: a fixture of American history for decades, I mean, the

1103
00:58:08,000 --> 00:58:10,960
Speaker 1: Gulf War, chairman of the Joint Chiefs, instrumental in the

1104
00:58:11,000 --> 00:58:14,000
Speaker 1: foreign policy of George H. W. Bush. And we can't

1105
00:58:14,000 --> 00:58:16,360
Speaker 1: help but also remember his life in the fact that

1106
00:58:16,400 --> 00:58:19,240
Speaker 1: he did help sell the Iraq War to the United

1107
00:58:19,320 --> 00:58:22,800
Speaker 1: Nations under the Bush administration, ultimately falling out and then

1108
00:58:23,160 --> 00:58:26,320
Speaker 1: becoming a sort of statesman in his own right, you know,

1109
00:58:26,440 --> 00:58:28,600
Speaker 1: endorsing Obama in two thousand and eight, that was a

1110
00:58:28,640 --> 00:58:31,760
Speaker 1: really big moment. So you'll speak at the DMC this year.

1111
00:58:31,960 --> 00:58:35,240
Speaker 1: I quite remember, but I know he endorsed a Democrat

1112
00:58:35,280 --> 00:58:38,440
Speaker 1: from every year from two thousand and eight onwards. But

1113
00:58:38,600 --> 00:58:41,320
Speaker 1: his life will always be, you know, intertwined with the

1114
00:58:41,360 --> 00:58:43,960
Speaker 1: Iraq War. It is stunning that he died, you know,

1115
00:58:43,960 --> 00:58:47,040
Speaker 1: from complications due to COVID and he was fully vaccinated. Yeah,

1116
00:58:47,080 --> 00:58:48,680
Speaker 1: and there are a couple things to say. I mean,

1117
00:58:49,400 --> 00:58:52,800
Speaker 1: first of all, on the coronavirus piece, we know the

1118
00:58:52,880 --> 00:58:55,440
Speaker 1: elderly continued to be at the most risk, always at

1119
00:58:55,480 --> 00:58:59,240
Speaker 1: the most right and in fact, you know, I, my

1120
00:58:59,280 --> 00:59:01,880
Speaker 1: thirteen year old is vaccinated. When the vaccine is a

1121
00:59:01,960 --> 00:59:04,880
Speaker 1: proof for children, I will be getting my children inoculated.

1122
00:59:04,960 --> 00:59:09,080
Speaker 1: But we do know from the risk factors that even

1123
00:59:09,200 --> 00:59:14,640
Speaker 1: fully vaccinated elderly people are more at risk to this disease,

1124
00:59:15,200 --> 00:59:20,160
Speaker 1: severe illness and yes death than young children who are unvaccinated.

1125
00:59:20,680 --> 00:59:24,400
Speaker 1: So while the vaccines are incredibly effective. We see that

1126
00:59:24,440 --> 00:59:26,400
Speaker 1: in the numbers here, we see that in the numbers

1127
00:59:26,440 --> 00:59:31,480
Speaker 1: around the world, especially at preventing that severe disease and death,

1128
00:59:32,080 --> 00:59:36,440
Speaker 1: especially among the elderly. It does still sometimes happen now

1129
00:59:36,520 --> 00:59:39,880
Speaker 1: on the life of Colon Powell. It can be uncomfortable,

1130
00:59:40,080 --> 00:59:42,880
Speaker 1: but I believe when you have someone who has been

1131
00:59:43,360 --> 00:59:47,920
Speaker 1: an incredibly influential public figure, I do believe that you

1132
00:59:47,960 --> 00:59:50,680
Speaker 1: have to tell the truth about them, even in death.

1133
00:59:51,320 --> 00:59:54,440
Speaker 1: So the fact of the matter is the biggest legacy

1134
00:59:54,920 --> 00:59:58,040
Speaker 1: that this man left in this country was lying the

1135
00:59:58,080 --> 01:00:02,960
Speaker 1: American people into war, and he was in a position

1136
01:00:03,080 --> 01:00:06,360
Speaker 1: where he did have and he knew better. All the

1137
01:00:06,440 --> 01:00:10,200
Speaker 1: reporting shows that he was the most eluctant to do it.

1138
01:00:10,440 --> 01:00:13,440
Speaker 1: He was skeptical, but he went out there and he

1139
01:00:13,600 --> 01:00:17,280
Speaker 1: made the case. And because he was so held in

1140
01:00:17,400 --> 01:00:22,520
Speaker 1: such high esteem by members of both parties, the fact

1141
01:00:22,520 --> 01:00:27,320
Speaker 1: that he so forcefully made that case and sold those

1142
01:00:27,440 --> 01:00:31,680
Speaker 1: lives was a lynchpin in terms of ultimately getting us

1143
01:00:31,720 --> 01:00:37,440
Speaker 1: in to that war. Sadly and tragically, that is the

1144
01:00:37,440 --> 01:00:39,800
Speaker 1: biggest imprint that he left on this country, And of

1145
01:00:39,800 --> 01:00:44,520
Speaker 1: course we're still living with the consequences of that war,

1146
01:00:44,800 --> 01:00:47,360
Speaker 1: and of course of our years in Afghanistan as well,

1147
01:00:47,920 --> 01:00:52,040
Speaker 1: the incredible toll on our servicemen and women, the way

1148
01:00:52,080 --> 01:00:55,200
Speaker 1: that the entire Mid East was turned upside down, the

1149
01:00:55,200 --> 01:00:59,800
Speaker 1: way that it ultimately fueled terrorism and made us another

1150
01:00:59,840 --> 01:01:03,600
Speaker 1: people around the world less less safe, the hundreds of

1151
01:01:03,600 --> 01:01:07,160
Speaker 1: thousands of civilians from the region who were ultimately killed

1152
01:01:07,160 --> 01:01:10,960
Speaker 1: in those operations. So, you know, he was ultimately held

1153
01:01:10,960 --> 01:01:13,040
Speaker 1: in very high esteem. Even after that, he was able

1154
01:01:13,080 --> 01:01:15,240
Speaker 1: to make a comeback and be held in highest team again,

1155
01:01:15,360 --> 01:01:18,400
Speaker 1: especially by the Democratic Party. But in my view, that

1156
01:01:18,560 --> 01:01:24,080
Speaker 1: is his greatest legacy. Certainly, sent my condolences and our

1157
01:01:24,160 --> 01:01:29,440
Speaker 1: condolences to his family for their incredible personal loss. But

1158
01:01:29,880 --> 01:01:34,400
Speaker 1: a momentous day in terms of the death of colon Power. Yeah,

1159
01:01:34,400 --> 01:01:37,480
Speaker 1: it's really stunning. You know, it's actually the Iraq part

1160
01:01:37,600 --> 01:01:40,920
Speaker 1: is just so tragic if you consider his story. I've

1161
01:01:40,960 --> 01:01:43,320
Speaker 1: read a little bit about him. He was his parents

1162
01:01:43,320 --> 01:01:46,200
Speaker 1: were I think Jamaican immigrants or West Indian I believe,

1163
01:01:46,240 --> 01:01:49,160
Speaker 1: somewhere in the Caribbean. He was raised in New York City,

1164
01:01:49,200 --> 01:01:53,000
Speaker 1: a product of the you know, the local community college system,

1165
01:01:53,280 --> 01:01:56,240
Speaker 1: which is what vaulted him from r OTC. Yeah, served

1166
01:01:56,280 --> 01:02:00,280
Speaker 1: in Vietnam, rose through the ranks of the Night States

1167
01:02:00,400 --> 01:02:02,440
Speaker 1: Army all the way to the Chairman of the Joint Chiefs.

1168
01:02:03,040 --> 01:02:06,200
Speaker 1: Was instrumental in terms of the Gulf War, in terms

1169
01:02:06,280 --> 01:02:09,760
Speaker 1: of setting a new foreign policy in the HW Bush administration,

1170
01:02:10,160 --> 01:02:13,320
Speaker 1: and then having his credibility with the American people sacrificed

1171
01:02:13,400 --> 01:02:16,120
Speaker 1: upon the altar of the Iraq War, somebody who was

1172
01:02:16,160 --> 01:02:19,360
Speaker 1: deeply skeptical of that, but went along anyways because George W.

1173
01:02:19,440 --> 01:02:21,840
Speaker 1: Bush and the people inside wanted him to, and that

1174
01:02:22,160 --> 01:02:24,040
Speaker 1: you know, was going to be his biggest legacy. So

1175
01:02:24,400 --> 01:02:27,840
Speaker 1: a complicated figure, a tragic end to a story. And yeah,

1176
01:02:27,840 --> 01:02:29,680
Speaker 1: we just wish his family the best here. I think

1177
01:02:29,720 --> 01:02:33,439
Speaker 1: that's the best thing you can say. Wow, you guys

1178
01:02:33,480 --> 01:02:35,360
Speaker 1: must really like listening to our voices. Well, I know

1179
01:02:35,400 --> 01:02:37,400
Speaker 1: this is annoying. Instead of making you listen to a

1180
01:02:37,520 --> 01:02:40,400
Speaker 1: Viagri commercial. When you're done, check out the other podcast

1181
01:02:40,480 --> 01:02:42,800
Speaker 1: I do with Marshall Kasoff called The Realignment. We talk

1182
01:02:42,840 --> 01:02:45,720
Speaker 1: a lot about the deeper issues that are changing, realigning

1183
01:02:45,760 --> 01:02:48,360
Speaker 1: in American society. You always need more Crystal and soag

1184
01:02:48,440 --> 01:02:51,080
Speaker 1: in your daily lives. Take care, guys, Crystal, what are

1185
01:02:51,080 --> 01:02:53,600
Speaker 1: you taking a look at? Well, folks, our nation sports

1186
01:02:53,640 --> 01:02:57,200
Speaker 1: are backlogged, supply lines are jammed, prices are rising, and

1187
01:02:57,240 --> 01:03:00,000
Speaker 1: the Biden administration cannot even promise that Americans will be

1188
01:03:00,160 --> 01:03:02,840
Speaker 1: to get their Christmas goods. It's a bit of a disaster,

1189
01:03:03,080 --> 01:03:06,240
Speaker 1: and politically it is an utter catastrophe, not to mention

1190
01:03:06,640 --> 01:03:09,920
Speaker 1: that massive infrastructure legislation currently hangs in the balance as

1191
01:03:10,000 --> 01:03:13,160
Speaker 1: right wing Democrats look to serve their corporate masters. In

1192
01:03:13,200 --> 01:03:16,400
Speaker 1: other words, an odd cascade of events has led to

1193
01:03:16,440 --> 01:03:20,520
Speaker 1: the Federal Department of Transportation suddenly being one of the

1194
01:03:20,560 --> 01:03:24,120
Speaker 1: most crucial agencies in all of government. So it's a

1195
01:03:24,200 --> 01:03:27,280
Speaker 1: bit strange that we hadn't heard anything from boy wonder

1196
01:03:27,320 --> 01:03:30,160
Speaker 1: Pete Budagetch, who you might recall, was randomly given the

1197
01:03:30,160 --> 01:03:34,040
Speaker 1: post of Transportation Secretary. Now, when Pete was given that job,

1198
01:03:34,120 --> 01:03:36,880
Speaker 1: it was a clear political soop, a reward for his

1199
01:03:36,960 --> 01:03:40,080
Speaker 1: role in destroying the Sanders campaign. After all, Biden himself

1200
01:03:40,120 --> 01:03:43,400
Speaker 1: had actually ruthlessly mocked Pete's lack of transportation experience on

1201
01:03:43,440 --> 01:03:46,120
Speaker 1: the campaign. Tryly remember that. But what Pete lacked in

1202
01:03:46,200 --> 01:03:49,560
Speaker 1: experience he of course made up for in vague platitudes

1203
01:03:49,600 --> 01:03:53,160
Speaker 1: about his love for all modes of transportation. I've also

1204
01:03:53,240 --> 01:03:56,920
Speaker 1: had a personal love of transportation ever since childhood. More

1205
01:03:56,960 --> 01:03:59,560
Speaker 1: than once, as a college student, I would convince a

1206
01:03:59,560 --> 01:04:02,560
Speaker 1: friend to to travel nearly one thousand miles back to

1207
01:04:02,600 --> 01:04:05,440
Speaker 1: Indiana with me on Amtrak. Though I know that in

1208
01:04:05,480 --> 01:04:08,040
Speaker 1: this administration I will at best aspire to be the

1209
01:04:08,080 --> 01:04:12,959
Speaker 1: second biggest train enthusiast around. I spent a spring break

1210
01:04:12,960 --> 01:04:17,160
Speaker 1: in graduate school aboard a cargo ship studying there. Travel,

1211
01:04:17,200 --> 01:04:22,080
Speaker 1: in my mind, is synonymous with growth, with adventure, even love,

1212
01:04:22,240 --> 01:04:25,440
Speaker 1: so much so that I proposed to my husband Chastin

1213
01:04:25,640 --> 01:04:28,320
Speaker 1: in an airport terminal. So don't let anybody tell you

1214
01:04:28,360 --> 01:04:32,960
Speaker 1: that O'Hare isn't romantic. Well, we have now received a

1215
01:04:33,000 --> 01:04:35,520
Speaker 1: word of why the man who never saw a camera

1216
01:04:35,520 --> 01:04:37,960
Speaker 1: he didn't like was suddenly nowhere to be found. Who

1217
01:04:38,000 --> 01:04:41,560
Speaker 1: wasn't working? Pete has been out on a lengthy paternity leave.

1218
01:04:41,960 --> 01:04:44,960
Speaker 1: Here's Politico with that scoop and an article titled, can

1219
01:04:45,080 --> 01:04:48,840
Speaker 1: Pete Boodhajid have it All? They didn't previously announce it,

1220
01:04:48,880 --> 01:04:51,840
Speaker 1: but Boodhajig's office told West Wing Playbook that the Secretary

1221
01:04:51,840 --> 01:04:54,560
Speaker 1: has actually been on paid leave since mid August to

1222
01:04:54,600 --> 01:04:57,640
Speaker 1: spend time with his husband, Chasten and their two newborn babies.

1223
01:04:57,960 --> 01:05:00,320
Speaker 1: For the first four weeks, he was mostly offline except

1224
01:05:00,360 --> 01:05:03,080
Speaker 1: for major agency decisions and matters that could not be delegated,

1225
01:05:03,120 --> 01:05:05,880
Speaker 1: set a spokesperson for the Department of Transportation. He has

1226
01:05:05,880 --> 01:05:08,480
Speaker 1: been ramping up activities since then as he does that,

1227
01:05:08,480 --> 01:05:11,120
Speaker 1: Buddhajid will quote continue to take some time over the

1228
01:05:11,120 --> 01:05:13,360
Speaker 1: coming weeks to support his husband and take care of

1229
01:05:13,400 --> 01:05:17,040
Speaker 1: his new children. The spokesperson added, So he got a

1230
01:05:17,040 --> 01:05:19,360
Speaker 1: pretty interesting question on our hands here. Now. I am

1231
01:05:19,400 --> 01:05:22,400
Speaker 1: personally a huge supporter of paid family leave, for moms,

1232
01:05:22,400 --> 01:05:25,120
Speaker 1: for dads, for caregivers, frankly, of all types. It is

1233
01:05:25,160 --> 01:05:29,040
Speaker 1: a national disgrace that millions of Americans cannot take paid

1234
01:05:29,040 --> 01:05:31,800
Speaker 1: time off after giving birth or adoption, or for any

1235
01:05:31,800 --> 01:05:34,960
Speaker 1: other reason. But in a moment of national crisis, when

1236
01:05:35,000 --> 01:05:38,560
Speaker 1: at least in theory, your job position is critical to

1237
01:05:38,600 --> 01:05:42,160
Speaker 1: the well being of millions, does your responsibility to your

1238
01:05:42,200 --> 01:05:46,640
Speaker 1: family fully trump your responsibility to the American people? Now?

1239
01:05:46,640 --> 01:05:49,040
Speaker 1: Plenty of liberals right now are saying yes, family comes first,

1240
01:05:49,040 --> 01:05:51,920
Speaker 1: and that is that political quotes a liberal advocate for

1241
01:05:51,960 --> 01:05:54,720
Speaker 1: paid leave, who said, I am thrilled that the Secretary

1242
01:05:54,760 --> 01:05:57,080
Speaker 1: did that and showed that work and family go together.

1243
01:05:57,360 --> 01:05:59,840
Speaker 1: And it's not only liberals who are applauding Peede. Here

1244
01:06:00,080 --> 01:06:03,440
Speaker 1: on Greenwald, he tweeted this saying, the only valid and

1245
01:06:03,520 --> 01:06:06,400
Speaker 1: decent thing to say about Pete Budajech's paternity leave is

1246
01:06:06,400 --> 01:06:09,800
Speaker 1: that adoption is beautiful. All parents, not just cabinet secretaries,

1247
01:06:09,840 --> 01:06:11,640
Speaker 1: should have the ability to take leave from work to

1248
01:06:11,680 --> 01:06:15,880
Speaker 1: care for new children, and prioritizing family over work is noble.

1249
01:06:16,480 --> 01:06:18,680
Speaker 1: What makes this conversation so interesting, though, is that you

1250
01:06:18,760 --> 01:06:21,520
Speaker 1: got a conflict of two important principles. First, yes, family

1251
01:06:21,560 --> 01:06:24,520
Speaker 1: is important, and all workers should have paid leave. Importantly,

1252
01:06:24,560 --> 01:06:26,919
Speaker 1: Pete is not a hypocrite here. He supports paid leave

1253
01:06:26,960 --> 01:06:29,200
Speaker 1: war all, so in a sense, he is just living

1254
01:06:29,240 --> 01:06:32,680
Speaker 1: those values. On the other hand, Pete accepted a position

1255
01:06:32,760 --> 01:06:35,480
Speaker 1: of high responsibility to his fellow Americans, and we are

1256
01:06:35,560 --> 01:06:38,160
Speaker 1: in the middle of a real crisis. So yeah, he's

1257
01:06:38,200 --> 01:06:40,200
Speaker 1: got a responsibility to his family, but he's kind of

1258
01:06:40,200 --> 01:06:43,040
Speaker 1: also got a responsibility to the nation as well. Now,

1259
01:06:43,040 --> 01:06:45,480
Speaker 1: there's been a trend in liberal thinking to ignore those

1260
01:06:45,520 --> 01:06:49,520
Speaker 1: broader societal responsibilities altogether, pretend like they're completely irrelevant as

1261
01:06:49,520 --> 01:06:53,240
Speaker 1: a consideration. There's a notion that your sole responsibility is

1262
01:06:53,280 --> 01:06:56,960
Speaker 1: to yourself, to your self actualization, to your wellness, to

1263
01:06:57,040 --> 01:07:00,440
Speaker 1: your ambition. Now, that is a highly narcissistic and with

1264
01:07:00,480 --> 01:07:03,160
Speaker 1: its emphasis on the individual above all else, it's also

1265
01:07:03,200 --> 01:07:05,400
Speaker 1: in a sense of conservative view, since it makes no

1266
01:07:05,480 --> 01:07:08,840
Speaker 1: allowance for the collective whatsoever. Now, I could do a

1267
01:07:08,880 --> 01:07:11,680
Speaker 1: whole other monologue on the roots of that narcissism, which

1268
01:07:11,720 --> 01:07:14,240
Speaker 1: I personally think lie in winner take all capitalism and

1269
01:07:14,240 --> 01:07:16,440
Speaker 1: a collapse in the belief that we can even accomplish

1270
01:07:16,480 --> 01:07:20,760
Speaker 1: anything collectively anymore. But Pete's whole trajectory is a perfect

1271
01:07:20,800 --> 01:07:24,040
Speaker 1: example of what this culture of narcissism looks like when

1272
01:07:24,040 --> 01:07:28,160
Speaker 1: applied to politicians. They become important not because of what

1273
01:07:28,200 --> 01:07:30,400
Speaker 1: they might do for the public, but because of what

1274
01:07:30,480 --> 01:07:33,360
Speaker 1: the public might do for them, how we might help

1275
01:07:33,400 --> 01:07:36,040
Speaker 1: them manifest their destiny. Whether it's Kamala or Stacy or

1276
01:07:36,120 --> 01:07:39,240
Speaker 1: Hillary or Pete. Voters are meant to serve the aspirations

1277
01:07:39,280 --> 01:07:42,880
Speaker 1: of the politician, rather than the politician serving the people.

1278
01:07:43,440 --> 01:07:45,200
Speaker 1: That's why there was so much more interest in Peace's

1279
01:07:45,200 --> 01:07:48,000
Speaker 1: relationship with Chasten, his iron man training, and his truly

1280
01:07:48,000 --> 01:07:51,880
Speaker 1: beautiful new family than on whether Pete was remotely qualified

1281
01:07:51,920 --> 01:07:54,520
Speaker 1: for the position of Transportation Secretary in the first place,

1282
01:07:54,840 --> 01:07:57,680
Speaker 1: and what if he was Transportation secretary he might do

1283
01:07:57,920 --> 01:08:01,520
Speaker 1: with that power. It's another exam That's why Kamala's speech

1284
01:08:01,560 --> 01:08:04,400
Speaker 1: to the DNC, delivered at a time of mass death

1285
01:08:04,440 --> 01:08:08,600
Speaker 1: and financial chaos, was still all about herself and how

1286
01:08:08,640 --> 01:08:11,000
Speaker 1: proud we all should be that she was achieving such

1287
01:08:11,000 --> 01:08:14,880
Speaker 1: a significant milestone, rather than say what she might do

1288
01:08:14,960 --> 01:08:18,280
Speaker 1: as Biden's second in command. After all, Kamala wasn't selected

1289
01:08:18,280 --> 01:08:19,840
Speaker 1: for the slot of vice president because of what she

1290
01:08:19,920 --> 01:08:22,240
Speaker 1: might bring to the job. She was selected to serve

1291
01:08:22,280 --> 01:08:25,200
Speaker 1: as a sort of national political celebrity. Instead of everyone

1292
01:08:25,240 --> 01:08:27,920
Speaker 1: getting healthcare, everyone gets profiles on her shoe choices and

1293
01:08:27,960 --> 01:08:31,040
Speaker 1: puff pieces on her inspirational background. We are supposed to

1294
01:08:31,080 --> 01:08:34,360
Speaker 1: be fulfilled because she is fulfilled. And it's the same

1295
01:08:34,400 --> 01:08:36,960
Speaker 1: with Pete. He wasn't put in this position actually do

1296
01:08:37,040 --> 01:08:39,439
Speaker 1: a job. The idea that he was chosen for his

1297
01:08:39,560 --> 01:08:43,559
Speaker 1: expertise and governing ability is hilarious. He was put in

1298
01:08:43,600 --> 01:08:46,880
Speaker 1: a prominent position to serve as a figurehead modeling an

1299
01:08:46,880 --> 01:08:50,280
Speaker 1: inspirational story while other people do the un sexy work

1300
01:08:50,320 --> 01:08:53,440
Speaker 1: of implementing rules and trying to unclog our backed up ports.

1301
01:08:53,680 --> 01:08:56,519
Speaker 1: So in the job he was actually picked for he's

1302
01:08:56,560 --> 01:09:01,640
Speaker 1: performing spectacularly well. To answer Politico's question, Pete can have

1303
01:09:01,760 --> 01:09:03,680
Speaker 1: it all, It just may come at the price of

1304
01:09:03,720 --> 01:09:06,160
Speaker 1: the rest of us having an actually competent and engaged

1305
01:09:06,240 --> 01:09:09,439
Speaker 1: leader at the Department of Transportation. So let's be real here,

1306
01:09:09,560 --> 01:09:11,519
Speaker 1: stop pretending like it actually would have made a difference

1307
01:09:11,560 --> 01:09:13,639
Speaker 1: to have Pete at as post as our supply chains

1308
01:09:13,640 --> 01:09:17,000
Speaker 1: broke down. Pete and are other political media celebrities. They're

1309
01:09:17,000 --> 01:09:19,799
Speaker 1: not there to govern. They're there to live their best lives,

1310
01:09:20,000 --> 01:09:23,200
Speaker 1: regardless of what impact that may have on your life.

1311
01:09:23,479 --> 01:09:25,880
Speaker 1: And I think Zagar that to me was like the

1312
01:09:25,920 --> 01:09:28,000
Speaker 1: part of the story that was kind of missing, is

1313
01:09:28,040 --> 01:09:30,679
Speaker 1: there was this kabooky about one more thing. I promise.

1314
01:09:31,040 --> 01:09:33,240
Speaker 1: Just wanted to make sure you knew about my podcast

1315
01:09:33,280 --> 01:09:36,080
Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where

1316
01:09:36,120 --> 01:09:38,919
Speaker 1: we do long form interviews with people like Noam Chomsky,

1317
01:09:39,000 --> 01:09:42,280
Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any

1318
01:09:42,280 --> 01:09:45,680
Speaker 1: podcast platform, or you can subscribe over on substack to

1319
01:09:45,720 --> 01:09:48,040
Speaker 1: get the video a day early. We're gonna stop bugging

1320
01:09:48,080 --> 01:09:50,240
Speaker 1: you now. Enjoy all right, Zecho, what are you looking

1321
01:09:50,280 --> 01:09:52,679
Speaker 1: at it? Well, if you were to ask me why

1322
01:09:52,720 --> 01:09:55,320
Speaker 1: the Trump era sucks so much, I would not give

1323
01:09:55,360 --> 01:09:57,720
Speaker 1: you the same answer as the mainstream media. On a

1324
01:09:57,720 --> 01:10:00,559
Speaker 1: policy level, you did mostly bad stuff, and on a

1325
01:10:00,600 --> 01:10:03,559
Speaker 1: rhetorical level, occasionally he had something good to say. But

1326
01:10:03,640 --> 01:10:07,120
Speaker 1: the answer is that Trump actually banished any sense of

1327
01:10:07,320 --> 01:10:10,320
Speaker 1: meaning from our politics, to the extent that even the

1328
01:10:10,479 --> 01:10:13,320
Speaker 1: tiniest little bit of it remained before he came on

1329
01:10:13,360 --> 01:10:16,000
Speaker 1: the stage. S Look, say what you want, but there

1330
01:10:16,120 --> 01:10:19,600
Speaker 1: was an actual debate around Obamacare in this country, healthcare

1331
01:10:19,760 --> 01:10:23,200
Speaker 1: or no public option, private option. It was mostly dumb,

1332
01:10:23,320 --> 01:10:26,840
Speaker 1: and it obviously turned out terribly, but it was a debate. Nonetheless,

1333
01:10:27,160 --> 01:10:30,280
Speaker 1: with Trump, it didn't even have the veneer of the debate.

1334
01:10:30,520 --> 01:10:33,479
Speaker 1: The people who voted for him, when they're being entirely honest,

1335
01:10:33,680 --> 01:10:35,920
Speaker 1: will tell you they didn't really care what he actually did,

1336
01:10:36,120 --> 01:10:37,840
Speaker 1: and that the reason that they did is because he

1337
01:10:37,920 --> 01:10:40,760
Speaker 1: pissed the other side off immensely. And the people who

1338
01:10:40,840 --> 01:10:43,679
Speaker 1: voted against him, they did the same thing, except the converse.

1339
01:10:43,920 --> 01:10:47,479
Speaker 1: They voted for him, voted against him simply because he

1340
01:10:47,600 --> 01:10:51,640
Speaker 1: pissed them off, not for any substantive reason whatsoever. And

1341
01:10:51,720 --> 01:10:54,920
Speaker 1: that is why Trump's long and ugly shadow over our

1342
01:10:54,960 --> 01:10:57,559
Speaker 1: politics is so awful, and why if he runs in

1343
01:10:57,600 --> 01:11:01,000
Speaker 1: twenty twenty four, it will be truly clowned two point zero.

1344
01:11:01,640 --> 01:11:04,360
Speaker 1: If you're a Republican, probably the last thing on earth

1345
01:11:04,400 --> 01:11:06,559
Speaker 1: that you should want is Trump to run again. How

1346
01:11:06,560 --> 01:11:09,000
Speaker 1: can I say that, you say, presuming that you're a

1347
01:11:09,040 --> 01:11:12,639
Speaker 1: Republican actually wants something to get done. Consider Trump's latest

1348
01:11:12,640 --> 01:11:16,040
Speaker 1: statement quote, if we don't solve the presidential election fraud

1349
01:11:16,040 --> 01:11:18,920
Speaker 1: of twenty twenty, Republicans will not be voting in twenty

1350
01:11:18,960 --> 01:11:22,240
Speaker 1: twenty two or twenty five. It's the single most important

1351
01:11:22,240 --> 01:11:25,280
Speaker 1: thing for Republicans to do, he says. Translation, if you,

1352
01:11:25,439 --> 01:11:27,559
Speaker 1: as a Republican, are not willing to make stop the

1353
01:11:27,560 --> 01:11:30,679
Speaker 1: steal a central part of your campaign for office, then

1354
01:11:30,720 --> 01:11:32,960
Speaker 1: I will denounce you and I will tell my people

1355
01:11:33,080 --> 01:11:37,080
Speaker 1: to not vote. Consider how monumentally stupid this is. It

1356
01:11:37,120 --> 01:11:40,640
Speaker 1: comes at a time where the Democrats look truly twenty

1357
01:11:40,840 --> 01:11:44,080
Speaker 1: ten level doomed in the mid term elections. Biden is

1358
01:11:44,120 --> 01:11:47,479
Speaker 1: missing his action as approval rating hovers in the mid thirties.

1359
01:11:47,680 --> 01:11:51,400
Speaker 1: He has no enthusiastic base, and economy is going sideways,

1360
01:11:51,439 --> 01:11:55,679
Speaker 1: and his legislative agenda is basically dead. Organic movements across

1361
01:11:55,680 --> 01:11:58,879
Speaker 1: the country right now are rising up against mass mandates

1362
01:11:58,880 --> 01:12:02,000
Speaker 1: and schools and critical theory. I mean, Republicans on an

1363
01:12:02,040 --> 01:12:05,439
Speaker 1: actual grassroots policy level are more fired up than they

1364
01:12:05,479 --> 01:12:08,040
Speaker 1: have been in more than a decade. And yet Trump

1365
01:12:08,040 --> 01:12:10,360
Speaker 1: comes in and says, yeah, but if you don't validate

1366
01:12:10,400 --> 01:12:13,519
Speaker 1: my both idiotic and unpopular idea, then I'm going to

1367
01:12:13,600 --> 01:12:17,519
Speaker 1: tell my most committed supporters to not vote. Literally, only

1368
01:12:17,560 --> 01:12:20,880
Speaker 1: Trump could rescue defeat from the hands of victory after

1369
01:12:21,000 --> 01:12:24,080
Speaker 1: already running this stupid playbook in a place called Georgia

1370
01:12:24,240 --> 01:12:27,880
Speaker 1: during the special election. Or consider a potential Trump twenty

1371
01:12:27,920 --> 01:12:30,479
Speaker 1: twenty four run. It really should not be that difficult.

1372
01:12:30,479 --> 01:12:33,160
Speaker 1: I mean, the man came forty five thousand votes away

1373
01:12:33,160 --> 01:12:35,840
Speaker 1: from winning the presidency, and in twenty twenty Biden has

1374
01:12:35,920 --> 01:12:38,559
Speaker 1: been such a disaster he could easily be beaten in

1375
01:12:38,600 --> 01:12:41,719
Speaker 1: twenty twenty four. Or let's say it's Kamala Harris. I mean,

1376
01:12:41,840 --> 01:12:44,559
Speaker 1: Trump would probably win like five hundred electoral votes in

1377
01:12:44,600 --> 01:12:47,880
Speaker 1: that case. And yet what are his people signaling will

1378
01:12:47,880 --> 01:12:52,000
Speaker 1: be his major agenda if elected? Not inflation, not supply chains,

1379
01:12:52,160 --> 01:12:55,720
Speaker 1: not healthcare, not really anything to do with your life whatsoever?

1380
01:12:56,000 --> 01:12:59,519
Speaker 1: What is it? Yeah, their signature issue should be Oh,

1381
01:12:59,680 --> 01:13:03,200
Speaker 1: that's right. More stop the steal and election laws. Good luck.

1382
01:13:03,640 --> 01:13:06,880
Speaker 1: Having watched Trump monumentally screw up basically every single thing

1383
01:13:06,920 --> 01:13:09,559
Speaker 1: he ever tried to pass or sign into executive order,

1384
01:13:09,840 --> 01:13:12,040
Speaker 1: I can tell you that even if you did care

1385
01:13:12,080 --> 01:13:14,280
Speaker 1: a lot about this, he's probably the last person that

1386
01:13:14,320 --> 01:13:16,120
Speaker 1: you should try to get it done for you. But

1387
01:13:16,360 --> 01:13:19,320
Speaker 1: on a broader level, it again shows that with him

1388
01:13:19,360 --> 01:13:21,599
Speaker 1: at the hell of the helm of the Republican Party,

1389
01:13:22,160 --> 01:13:25,280
Speaker 1: this is it, this is all. There is nothing more

1390
01:13:25,800 --> 01:13:29,240
Speaker 1: just election fantasies to satisfy the egos of one man who,

1391
01:13:29,280 --> 01:13:31,479
Speaker 1: for a variety of reasons, has a massive sway over

1392
01:13:31,520 --> 01:13:34,720
Speaker 1: the Republican boomer mind. Now, you might think I've been

1393
01:13:34,760 --> 01:13:37,200
Speaker 1: hard on Republicans here in this monologue, But what about

1394
01:13:37,200 --> 01:13:39,840
Speaker 1: the Democrats soccer? Yeah, I mean I've got bad news

1395
01:13:39,880 --> 01:13:42,799
Speaker 1: for you. It's just as bad over there too. Consider

1396
01:13:42,920 --> 01:13:46,280
Speaker 1: the Virginia gubernatorial election that's happening right now. We talked

1397
01:13:46,280 --> 01:13:48,360
Speaker 1: a lot about it Terry mccaulliffe and the tight race

1398
01:13:48,600 --> 01:13:51,760
Speaker 1: with Glenn Youngkin. Well, we told you about how Terry

1399
01:13:51,800 --> 01:13:54,559
Speaker 1: mcculliff is saying that Glenn Youngkin is a Trump style candidate.

1400
01:13:54,800 --> 01:13:58,320
Speaker 1: And it might sound dumb. Shouldn't he talk about policy? Well, yeah,

1401
01:13:58,360 --> 01:14:00,960
Speaker 1: it turns out people don't care about at all. Our

1402
01:14:01,000 --> 01:14:04,920
Speaker 1: recent survey of Democrats early voting in Fairfax, Virginia found

1403
01:14:04,960 --> 01:14:07,879
Speaker 1: that not one person who was voting for Terry mccuff

1404
01:14:07,920 --> 01:14:10,880
Speaker 1: gave a policy reason to a t They all said

1405
01:14:10,920 --> 01:14:14,000
Speaker 1: the same thing. They hated Trump, and since Trump was

1406
01:14:14,040 --> 01:14:17,800
Speaker 1: for Glen Younkin, they were against Glen Youngkin. After all

1407
01:14:17,880 --> 01:14:21,680
Speaker 1: the hullabaloo of critical race theory in schools and vaccine

1408
01:14:21,720 --> 01:14:25,120
Speaker 1: mandates and more, it all comes down to Trump. You

1409
01:14:25,200 --> 01:14:28,400
Speaker 1: guessed it. What about Gavin Newsom? It really does defy

1410
01:14:28,439 --> 01:14:30,599
Speaker 1: logic that a man who let his state devolve into

1411
01:14:30,680 --> 01:14:34,479
Speaker 1: mad Max level territory and openly defy his own rules

1412
01:14:34,680 --> 01:14:37,920
Speaker 1: would popularly be affirmed by the people of the state

1413
01:14:38,120 --> 01:14:41,200
Speaker 1: of California. How the hell does that happen? And you

1414
01:14:41,280 --> 01:14:44,320
Speaker 1: already know the answer. All Gavin Newsom had to say

1415
01:14:44,600 --> 01:14:47,320
Speaker 1: was that Larry Elder was tied to Trump. He played

1416
01:14:47,360 --> 01:14:50,040
Speaker 1: a photo of Larry Elder and Trump together on loop.

1417
01:14:50,120 --> 01:14:52,600
Speaker 1: He played clips of Larry Eddler once saying Trump was

1418
01:14:52,680 --> 01:14:56,200
Speaker 1: quote God sent, and in the end, Gavin basically won

1419
01:14:56,320 --> 01:14:58,160
Speaker 1: around the same percentage of the vote that he did

1420
01:14:58,160 --> 01:15:00,720
Speaker 1: in his last election, because when it came down to it,

1421
01:15:00,880 --> 01:15:04,559
Speaker 1: Californians would rather live in squalor than have somebody who

1422
01:15:04,680 --> 01:15:08,360
Speaker 1: was tied to the Trumpian buffoon. This is the problem

1423
01:15:08,439 --> 01:15:11,439
Speaker 1: with Trump. He lets everybody off the hook. You could

1424
01:15:11,439 --> 01:15:14,080
Speaker 1: be a CEO, you go, Black lives matter, I'm against Trump.

1425
01:15:14,120 --> 01:15:15,920
Speaker 1: You can treat your workers like crap, you can ship

1426
01:15:16,000 --> 01:15:18,719
Speaker 1: jobs overseas, you can amass billions of dollars in wealth.

1427
01:15:19,040 --> 01:15:21,840
Speaker 1: Many people, about half the population will not care because

1428
01:15:21,840 --> 01:15:24,519
Speaker 1: he said the most important part you're against Trump. Or

1429
01:15:24,800 --> 01:15:26,920
Speaker 1: you can be a Republican who makes stop the steal

1430
01:15:26,960 --> 01:15:30,839
Speaker 1: the single most important part of your election campaign. And meanwhile,

1431
01:15:30,840 --> 01:15:32,960
Speaker 1: you can do the bidding of that CEO I just

1432
01:15:33,000 --> 01:15:36,400
Speaker 1: mentioned for a campaign donotions and guess what, Nobody will

1433
01:15:36,400 --> 01:15:38,639
Speaker 1: punish you because you stood with Trump on the only

1434
01:15:38,680 --> 01:15:41,599
Speaker 1: issue that matters to him, if you care about issues

1435
01:15:41,680 --> 01:15:43,880
Speaker 1: in any way. Trump is probably the single worst thing

1436
01:15:43,880 --> 01:15:46,120
Speaker 1: that could happen to our politics. But here's the thing

1437
01:15:46,360 --> 01:15:49,479
Speaker 1: I'm not naive. I think we deserve exactly the problem

1438
01:15:49,560 --> 01:15:54,320
Speaker 1: set I'm laying out. We have allowed ourselves to become sclerotic, useless, lazy,

1439
01:15:54,360 --> 01:15:57,040
Speaker 1: and low iq in our public discourse, and I cannot

1440
01:15:57,040 --> 01:15:59,200
Speaker 1: think of a better way to reward us for our

1441
01:15:59,240 --> 01:16:01,479
Speaker 1: sins than for Donald Trump to come back and do

1442
01:16:01,560 --> 01:16:04,880
Speaker 1: it all again. God help us. I guess so there

1443
01:16:04,920 --> 01:16:09,160
Speaker 1: it is, Crystal. How good is that Fairfax thing? I mean, yeah, there,

1444
01:16:09,240 --> 01:16:11,680
Speaker 1: every single one of them. Thank you guys so much

1445
01:16:11,680 --> 01:16:13,320
Speaker 1: for watching. We really appreciate it. If you want to

1446
01:16:13,360 --> 01:16:15,560
Speaker 1: watch that full interview. We give our premium subscribers to

1447
01:16:16,000 --> 01:16:18,080
Speaker 1: full long form interviews a month. That's one of the

1448
01:16:18,200 --> 01:16:20,920
Speaker 1: many benefits. But really what it is is, look, you guys,

1449
01:16:20,960 --> 01:16:23,799
Speaker 1: help us keep the lights on here. Given the wild

1450
01:16:23,840 --> 01:16:27,679
Speaker 1: fluctuations on what gets monetized doesn't get monetized on YouTube

1451
01:16:27,680 --> 01:16:30,280
Speaker 1: prioritized in the algorithm, the only thing that we can

1452
01:16:30,320 --> 01:16:32,799
Speaker 1: rely on is you guys. That's why we are able

1453
01:16:32,840 --> 01:16:34,600
Speaker 1: to put on the show every single day that we

1454
01:16:34,640 --> 01:16:36,960
Speaker 1: want to. I already know that Epstein one is probably

1455
01:16:36,960 --> 01:16:39,439
Speaker 1: not going to make it with Don Lemon one probably

1456
01:16:39,520 --> 01:16:41,720
Speaker 1: isn't either. And the only way that we can make

1457
01:16:41,760 --> 01:16:44,080
Speaker 1: sure that we cover the news in exactly the way

1458
01:16:44,280 --> 01:16:46,400
Speaker 1: that we need to exactly for you is with your

1459
01:16:46,400 --> 01:16:49,560
Speaker 1: support to maintain one hundred percent independence. So thank you

1460
01:16:49,640 --> 01:16:51,400
Speaker 1: all very much, and we have a lot of benefits

1461
01:16:51,479 --> 01:16:53,760
Speaker 1: show an hour, early long form interviews and all that,

1462
01:16:53,840 --> 01:16:55,680
Speaker 1: but this is really what it's all about. Yeah, love

1463
01:16:55,720 --> 01:16:57,320
Speaker 1: you guys so much. Have a great day. We'll be

1464
01:16:57,400 --> 01:17:16,400
Speaker 1: back here with a full show tomorrow. Thanks for listening

1465
01:17:16,400 --> 01:17:18,320
Speaker 1: to the show, guys, we really appreciate it. To help

1466
01:17:18,360 --> 01:17:20,400
Speaker 1: other people find the show, go ahead and leave us

1467
01:17:20,439 --> 01:17:23,439
Speaker 1: a five star rating on Apple Podcasts or wherever you

1468
01:17:23,479 --> 01:17:26,719
Speaker 1: get your podcasts. Really helps other people find the show

1469
01:17:27,000 --> 01:17:30,559
Speaker 1: as always special. Thank you to Supercast for powering our

1470
01:17:30,600 --> 01:17:33,120
Speaker 1: premium membership. If you want to find out more, go

1471
01:17:33,160 --> 01:17:35,160
Speaker 1: to Crystalansager dot com.