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Speaker 1: Cable news is ripping us apart, dividing the nation, making

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Speaker 1: it impossible to function as a society and to know

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Speaker 1: what is true and what is false. The good news

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Speaker 1: is that they're failing and they know it. That is

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Speaker 1: why we're building something new. Be part of creating a new, better, healthier,

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Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium

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Speaker 1: member today at breakingpoints dot com. Your hard earned money

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Speaker 1: is going to help us build for the midterms and

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Speaker 1: the upcoming presidential election so we can provide unparalleled coverage

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Speaker 1: of what is sure to be one of the most

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Speaker 1: pivotal moments in American history. So what are you waiting for?

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Speaker 1: Go to Breakingpoints dot com to help us out. Good morning, everybody,

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Speaker 1: Happy Tuesday. We have an amazing show for everybody today.

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Speaker 1: What do we have, Crystal? Indeed, we do allowed to

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Speaker 1: get to this morning. First of all, the poll that

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Speaker 1: we teased relentlessly yesterday, the New York Times, their last

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Speaker 1: look at the Senate races heading into election day, some

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Speaker 1: favorable numbers for Democrats. But recall last time around, New

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Speaker 1: York Times had some favorable numbers for Democrats in twenty

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Speaker 1: twenty that didn't exactly pan out, so we'll get into

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Speaker 1: all of that. Also, we have some updates out of Ukraine.

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Speaker 1: Zelensky concerned about the Republican positioning in terms of not

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Speaker 1: just military aid, but specifically continued economic aid to that country,

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Speaker 1: so we'll break that down for you. New insights into

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Speaker 1: potential plans from Elon Musk and Twitter, maybe bringing back

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Speaker 1: vine interesting though actually my daughter when she was little,

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Speaker 1: she loved Vinee was cool. We'll get into it. Yeah, absolutely,

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Speaker 1: there's also it looks like affirmative Action is kind of

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Speaker 1: on its last legs arguments in front of the Supreme

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Speaker 1: Court yesterday, the Conservative majority seemed very skeptical of its

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Speaker 1: continued constitutionality, so we'll break that down for you. And

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Speaker 1: we have even more details about the Paul Pelosi hammer attack.

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Speaker 1: The accused assailant himself spoke yesterday. We have some details

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Speaker 1: that are quite shocking in fact, so we'll get into

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Speaker 1: all of that. Sager is looking further at Twitter and

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Speaker 1: their business model and some potential trouble ahead. I'm taking

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Speaker 1: a look at Cable News and their business model and

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Speaker 1: whether they are dying or already dead. We also have

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Speaker 1: doctor Vine prosod On to give us an update on vaccines,

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Speaker 1: But we wanted to start with the midterms as we

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Speaker 1: are coming down the stretch here next week Tuesday, it's happening.

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Speaker 1: It's already pawn us. So this is the New York

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Speaker 1: Times last look at the key Senate battleground races. Let's

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Speaker 1: put this up on the screen and you can see

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Speaker 1: what the overall numbers are. Here in Arizona, that is

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Speaker 1: where the Democrats, according to this New York Times Siena poll,

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Speaker 1: have the largest lead, plus six for Mark Kelly over

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Speaker 1: Blake masters John Fetterman, according to them, still holding on

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Speaker 1: to a decent lead. Here it says plus six. But

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Speaker 1: in my I think I'm doing the math right. When

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Speaker 1: I say four nine minus forty four is five. Then

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Speaker 1: we have Warnock and Walker forty nine forty six, So

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Speaker 1: that is plus three for the dem Corta, tes Mastow

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Speaker 1: and lax Healt in Nevada. That when they have even

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Speaker 1: so pretty close but much more fa slightly more favorable

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Speaker 1: numbers for Democrats than we have been seeing recently. If

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Speaker 1: you dig into this poll gun put the next tear

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Speaker 1: sheet up on the screen. This is their right up

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Speaker 1: of it, they say, And I think this is an

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Speaker 1: accurate assessment of kind of where we are. Senate control

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Speaker 1: hinges on neck and neck races. The contests are close

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Speaker 1: in Arizona, Georgia, Nevada, and Pennsylvania. Many voters want Republicans

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Speaker 1: to flip the Senate, but they prefer the Democrat in

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Speaker 1: their state. And that's that macro micro dynamic that we've

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Speaker 1: been talking about the whole time. If you look at

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Speaker 1: the macro numbers, if you look at the economy, if

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Speaker 1: you look at how people feel about the economy, if

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Speaker 1: you look at Biden's approval rating, if you look about

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Speaker 1: at right track, wrong track, if you look like we

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Speaker 1: did yesterday at the where people who say the country

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Speaker 1: is out of control, you would say this is going

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Speaker 1: to be a Republican landslide year. But then when you

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Speaker 1: look at the individual candidates, you see that in every

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Speaker 1: single one of these instances in these key battleground states,

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Speaker 1: these candidates the Republican side are upside down in terms

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Speaker 1: of approval ratings. So people don't really like the candidates overall,

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Speaker 1: they prefer Republican control. Which thing ends up winning out.

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Speaker 1: They break down a few of these races in a

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Speaker 1: way that is pretty interesting. So the mark Kelly in

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Speaker 1: Arizona beating mister Biden's approval rating by fifteen points, winning

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Speaker 1: nearly one quarter of the people who disapprove of mister

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Speaker 1: Biden's job performance in the state. All of these candidates

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Speaker 1: are actually outpacing Biden on his approval ratings. So there's

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Speaker 1: a question, you know, is that sustainable? Can that really

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Speaker 1: hold when it comes to election day? In Georgia you

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Speaker 1: have questions about the character of herschel Wagger. Nearly half

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Speaker 1: of all Georgia voters view Warnock as more honest and trustworthy,

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Speaker 1: while only thirty seven percent of voter rape mister Walker

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Speaker 1: the same. So again on this question of candidate quality,

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Speaker 1: is that the factor that ultimately determines the race in

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Speaker 1: Georgia or is it these big top line numbers? And

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Speaker 1: in Arizona there was one thing that was a little

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Speaker 1: bit unique about the race there and potentially why Mark

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Speaker 1: Kelly is actually doing better than the other Democratic candidates

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Speaker 1: according to this poll and actually a lot of other

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Speaker 1: polls in every other single one of these states, voters

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Speaker 1: say that the economy is the most important issue. In

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Speaker 1: Arizona alone, cultural issues have a slight edge over the economy,

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Speaker 1: and there have been some fierce battles in that state

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Speaker 1: over what the future of reproductive rights are going to

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Speaker 1: be there, So it kind of makes sense that that

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Speaker 1: would have additional resonance in that state. And I think

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Speaker 1: that's a big part of why you see Mark Kelly

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Speaker 1: doing pretty well against Blake Masters pretty consistently in Boles.

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Speaker 1: Mark Kelly is a strong candidate. I mean, you know,

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Speaker 1: he doesn't keep a national profile. He actually speaks out

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Speaker 1: against Biden on the border almost consistently in every single

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Speaker 1: time that he does give a speech and in the debate.

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Speaker 1: So look, I mean that's what individuality and regionality can

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Speaker 1: give you. I think it will be the true and

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Speaker 1: ultimate test of quote unquote candidate quality versus national trends.

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Speaker 1: I do think though, that we owe it to people

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Speaker 1: to just show you that these poll you know, this poll,

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Speaker 1: exact one in twenty twenty was not the most accurate thing.

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Speaker 1: So let's go ahead and put the next thing up

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Speaker 1: there on the screen so you can see here this

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Speaker 1: is the New York Times SIENA poll from basically the

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Speaker 1: exact same time period October twenty six to thirty first

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Speaker 1: of twenty twenty. So for the presidential election, in Pennsylvania,

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Speaker 1: the Times had Biden at six points up the election margin.

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Speaker 1: Biden won by one point two. So that's a miss

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Speaker 1: of four point eight, which means that if you were

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Speaker 1: to factor in the exact same thing, that the same

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Speaker 1: pole is tied between Fetterman and right. Fetterman is up

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Speaker 1: five right now in their poll, and they had basically

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Speaker 1: a five point miss last time around, So as tight

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Speaker 1: as it could be fifty to fifty, all right, So

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Speaker 1: Senate in Arizona, same actually exact same candidate, Mark Kelly,

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Speaker 1: So we could presume a little bit there. Mark Kelly

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Speaker 1: was up by seven according to the New York Times.

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Speaker 1: He won by two po point three with a four

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Speaker 1: point seven percent miss, which means it's effectively tied in

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Speaker 1: that I guess Kelly would get there a little bit

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Speaker 1: of one point. Yeah. I mean, if you look at Nevada,

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Speaker 1: they had Biden up by six, Biden one by two

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Speaker 1: point four when so that means is a three point

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Speaker 1: six percent miss, which actually that means that Laxalt, if

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Speaker 1: you factor in the same thing, would be winning. And

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Speaker 1: actually some of the details that I looked at Crystal

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Speaker 1: and I know it gets sketchy in terms of who

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Speaker 1: gets pulled and whether they're overweighted or not. Let's just

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Speaker 1: assume this which we have, that the Sienna and the

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Speaker 1: Times have not made any major changes to their methodology

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Speaker 1: from twenty twenty, right from what I read, which is

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Speaker 1: the information that we have available, that's what we have

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Speaker 1: available to us. Well, then I would presume that the

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Speaker 1: MISS would be relatively consistent with twenty twenty and with

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Speaker 1: twenty and sixteen. So when you consider that, I would

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Speaker 1: probably be the Republican canon in every single one of

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Speaker 1: these races, just except maybe Arizona. See, I don't know,

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Speaker 1: I think Pennsylvania is a tider. Well Arizona, I mean,

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Speaker 1: first of all, there was a Kelly has a larger margin,

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Speaker 1: and the MISS was about the same as Pennsylvania, but

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Speaker 1: he does have a little bit of a larger margin.

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Speaker 1: I think one thing that is interesting about Arizona, like

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Speaker 1: I was saying, is that the social cultural issues seemed

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Speaker 1: to be wing were heavily on voters there than in

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Speaker 1: other places. And Mark Kelly was the only one of

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Speaker 1: the Democratic candidates in any of these Senate contests who

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Speaker 1: is actually winning voters without a college degree, So he

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Speaker 1: sort of stands alone on that metric, and then Blake Masters,

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Speaker 1: as we covered previously, he was obviously the Republican nominee.

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Speaker 1: He said some really extreme, out there things on abortion

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Speaker 1: during the primary that he's since tried to soft pedal

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Speaker 1: and walk back. But I mean, you know, he already

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Speaker 1: said it. It's being run in ads, and so if

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Speaker 1: social cultural issues are more of a factor there than

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Speaker 1: they are in other states, it makes sense to me

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Speaker 1: that Mark Kelly would be in a slightly better position

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Speaker 1: than some of these other candidates. And then when you

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Speaker 1: add to that, he has, you know, a very solid

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Speaker 1: identity in persona in the state. People have known him

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Speaker 1: for a long time, so he has, you know, high

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Speaker 1: favorability ratings. Blake Masters has low favorability ratings. So I

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Speaker 1: think that one is probably the best bet for Democrats.

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Speaker 1: There was an interesting news though, this morning. The libertarian

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Speaker 1: candidate dropped out and actually endorsed Black Masters. I did

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Speaker 1: a podcast with him. He was only pulling it like

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Speaker 1: two or three percent. Yeah, but because they can make

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Speaker 1: a difference, it could certainly make a difference, So that

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Speaker 1: was one in his favor. At the same time, there

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Speaker 1: was that other independent candidate in Pennsylvania who also is

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Speaker 1: pulling it like one or two percent something like that

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Speaker 1: who dropped out and endorsed John Fetterman. So again, you know,

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Speaker 1: it's fifty to fifty. It's a game of literally evenches,

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Speaker 1: so you never know who exactly is going to pull

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Speaker 1: this out and whether those things could make the difference.

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Speaker 1: But it does also eliminate any future case of like

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Speaker 1: spoiler or anything. It's like, no, this is a true

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Speaker 1: up and down contest in both let's find out publicans

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Speaker 1: dog whine about that shit the way the Democrats do. Yeah,

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Speaker 1: you're definitely correct. Well, I don't know. I'm trying to think, yeah,

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Speaker 1: you know, you're right. I think that there are Republicans

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Speaker 1: like complaining about spoilers in the same way I think

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Speaker 1: there are states where if Gary Johnson or Joe Jorgenson

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Speaker 1: hadn't been on the ballot that Trump likely would have won,

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Speaker 1: like Georgia and in Arizona. But you're right, I don't

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Speaker 1: see Trump in the National republ Party being like Joe

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Speaker 1: Jarkinson is a spoiler. They're just like, well, you know, well,

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Speaker 1: I mean they do think they're well, they've made up

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Speaker 1: a different reason, right that one might have actually had

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Speaker 1: more aliens than the nonsense that they ultimately invented. Okay,

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Speaker 1: putting all that aside, let's put this next piece up

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Speaker 1: on the screen, because I do think that this is interesting,

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Speaker 1: which is Biden's approval rating in each state is really

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Speaker 1: really bad. In Arizona he has only a thirty six

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Speaker 1: percent approval rating, which makes it even more remarkable that

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Speaker 1: Mark Kelly seems to be holding up pretty well in

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Speaker 1: these polls. You've got in Nevada thirty eight percent approval rating.

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Speaker 1: This is a state, you know, These are all states

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Speaker 1: that he want. Georgia thirty nine percent approval rating. Pennsylvania

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Speaker 1: he's doing the best, forty two percent approval rating, and

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Speaker 1: that's the state where the Democratic candidate is sort of

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Speaker 1: outperforming him by the smallest number. You have, Mark Kelly

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Speaker 1: running fifteen points ahead of Biden's approval were not plus ten,

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Speaker 1: Catherine Cortez Masto plus nine, and Fetterman plus seven. So

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Speaker 1: Biden really weighing down Democratic chances. I just don't think

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Speaker 1: there's any denying that at this point, given his lack

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Speaker 1: of popularity and the fact that these Democrats are able

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Speaker 1: to at this point apparently outperform where he sits in

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Speaker 1: terms of his approval rating, you know, is a testament.

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Speaker 1: I don't know if it's such a testament to the

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Speaker 1: Democratic candidates or their messaging as it is to the

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Speaker 1: very poor quality of the Republican candidates and some of

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Speaker 1: the nervousness about electing them. Yeah, I don't know, I

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Speaker 1: would personally be you know, an interesting thing right now, Crystal,

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Speaker 1: is there's a narrative kind of on the Democratic side

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Speaker 1: that Republican pollsters are flooding the zone in order to

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Speaker 1: like yeah, chand yesterday. Yeah. But then somebody made a

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Speaker 1: great point where it's like, if you think the Democratic

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Speaker 1: groups aren't also polling, they're just not releasing their polls.

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Speaker 1: And so the limited amounts of there's a group like

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Speaker 1: Democracy Corps or whatever, one of the few Democratic groups

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Speaker 1: actually release it had Republicans up by like five on

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Speaker 1: the generic ballot in their latest one. So I think

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Speaker 1: that if the Democratic groups had polls to release, which

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Speaker 1: would be good for them, would release it to kind

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Speaker 1: of quote unquote flood the zone. It's not like individual

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Speaker 1: candidates and all those others all don't have I mean,

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Speaker 1: look at John Fetterman. The guy has got millions of

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Speaker 1: dollars in the bank. Super packs are banking all of

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Speaker 1: these what to the tune of over a billion dollars.

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Speaker 1: So I think that there's plenty of democratic polling. They're

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Speaker 1: probably just not releasing it because it's not good. I

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Speaker 1: just want to say that for those who might be

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Speaker 1: buying this, GOP is flooding the zone. I'm like, well,

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Speaker 1: they're flooding the zone because the polls are good for them,

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Speaker 1: and if it was if they had counter ones that Look,

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Speaker 1: this is also part of the issue with averages, with

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Speaker 1: you know, considering polls like what group, whatnot, etc. And

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Speaker 1: that's why part of why I'm just looking exactly is

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Speaker 1: looking at the record of the ones that we do

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Speaker 1: have and be like, Okay, well in the quote even

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Speaker 1: in the quote unquote independence average miss of five, especially

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Speaker 1: in many of these states. So just factor that in. Yeah,

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Speaker 1: I mean five thirty eight, which I think most people

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Speaker 1: would say, if it's biased, it's more in a liberal direction.

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Speaker 1: Has the Senate of fifty fifty Yeah, there you go.

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Speaker 1: And if you want to make a case for why

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Speaker 1: Democrats might outperform, which I do, think, the outcome of

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Speaker 1: this election is genuinely uncertain. We live in very chaotic times.

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Speaker 1: People are voting in patterns that they haven't before. The

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Speaker 1: mail and all this stuff, like voting is different than

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Speaker 1: it ever has been before. There's clearly extremely high interest.

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Speaker 1: So if you wanted to make a case for Democrats

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Speaker 1: are going to outperform, I think the case would be there.

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Speaker 1: I've been turning out in a very strong way in

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Speaker 1: the early vote. I would personally discount all of the

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Speaker 1: early vote numbers because that doesn't always pan out the

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Speaker 1: way that you think it's going to. But anyway, that

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Speaker 1: would be the case. They're turning out very strongly in

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Speaker 1: terms of the early vote. We had those special elections

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Speaker 1: where they outperformed. You have young voters who maybe are

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Speaker 1: showing up in higher numbers than polsters ultimately expect that

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Speaker 1: would be ultimately what you are banking on. I mean,

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Speaker 1: it doesn't hurt the fact that gas prices have been

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Speaker 1: going down a little bit, so you know, maybe that

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Speaker 1: helps Democrats a tiny bit here down the stretch. But

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Speaker 1: you know, it continues to me to be a question

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Speaker 1: of candidate quality, like micro regional date based trends versus

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Speaker 1: overall national mood, which one of those things ends up

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Speaker 1: being the most important. My theory of politics generally is that,

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Speaker 1: you know, the maximum used to be all politics is local.

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Speaker 1: Now I think all politics is national. So do I

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Speaker 1: think Canada quality makes a difference at all? A little? Yeah,

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Speaker 1: I think it makes somewhat of a difference. Do I

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Speaker 1: think it's going to be determinative in each of these races?

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Speaker 1: That I start to be really really skeptical of the

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Speaker 1: race that we have probably focused the most on, and

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Speaker 1: I think the national media has as well, and I

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Speaker 1: think for some good reason. As Pennsylvania. You know, Pennsylvania

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Speaker 1: right now, that seat is held by a Republican. So

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Speaker 1: if Democrats are able to pick that one up, that

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Speaker 1: makes the Republican task a little bit harder. You know,

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Speaker 1: they have to be able to pick off one of

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Speaker 1: these other states in order to be able to secure

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Speaker 1: their Senate majority. Biden and Obama obviously see the state

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Speaker 1: as key as well as go and put this up

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Speaker 1: on the screen. They are planning to campaign together in

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Speaker 1: Philadelphia on Saturday. I did a whole thing yesterday on

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Speaker 1: Obama back down on the campaign trail and also the

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Speaker 1: notable lack of Biden on the campaign trail, which has

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Speaker 1: been very different from his predecessors, you know, even Obama

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Speaker 1: back in twenty ten, when he was under a lot

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Speaker 1: of fire and his approval rating was similarly not great.

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Speaker 1: He was out there on the campaign trail. Of course,

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Speaker 1: Trump loves doing rallies. He'll do them every chance he

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Speaker 1: positively gets. So of course he did a lot of

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Speaker 1: campaigning and is doing a fair amount of campaigning for

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Speaker 1: Republican candidates this time as well. Biden has not done

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Speaker 1: much at all, And in fact, one of the places

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Speaker 1: he went was a little strange. He went to Florida

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Speaker 1: to back up Charlie crist who's like in a doomed

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Speaker 1: race against Rondo Sandas. So I was like, okay, I

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Speaker 1: don't know why you're spending your time doing that, but whatever.

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Speaker 1: He's done some zoom events, but this will really be,

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Speaker 1: you know, the big marquee event. I think Biden still

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Speaker 1: thinks he's got that, like Scranton Joe, Pennsylvania touched. They

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Speaker 1: clearly see Pennsylvania central to their chances. They clearly understand

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Speaker 1: Fetterman is, you know, kind of on the rocks or

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Speaker 1: on the ropes, that his polling has been sliding here

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Speaker 1: down the stretch, and so they, you know, want to

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Speaker 1: go and see what they can do to garner as

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Speaker 1: much enthusiasm among the Democratic base as possible and urge

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Speaker 1: them to turn out at the last minute. Yeah, I mean,

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Speaker 1: I question whether it's I mean, here's the issue with Obama.

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Speaker 1: He has never shown any capability at actually transferring his

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Speaker 1: own personal popularity through democratic victory ten, twenty twelve, twenty sixteen.

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Speaker 1: I've done several monologues. I think playing that last clip

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Speaker 1: of him from the twenty sixteen election where he's like this,

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Speaker 1: you know, ex is on the ballot. I'm on the ballot.

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Speaker 1: I may not my name will be on there. I'm

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Speaker 1: on the ballot. And he asked me. He took it

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Speaker 1: to the American people, he said, you need to vote

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Speaker 1: as if my name and it's like, well, they did

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Speaker 1: so it didn't turn out to work out so well.

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Speaker 1: So he might be a popular figure amongst Democrats, but

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Speaker 1: again we have reams of data to tell us that

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Speaker 1: he has never once been able to transfer his personal popularity. Yeah.

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Speaker 1: On Biden, it's a negative popularity. He's underwater by almost

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Speaker 1: two thirds in the state of Pennsylvania for his approval rating.

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Speaker 1: If I was Fetterman, I wouldn't even want to look

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Speaker 1: on the same stages, and I was actually surprised and

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Speaker 1: one of the few, you know moments it was kind

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Speaker 1: of clear out of the Federman debate. Is remember they

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Speaker 1: asked him, They're like, would you support Joe Biden for president?

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Speaker 1: And he said, if he choose to run again, I

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Speaker 1: I would support him a high. Well, Pennsylvania, of the

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Speaker 1: swing states, is the one where Biden continues to have

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Speaker 1: the highest approval rating. Now it's low, it's forty two percent,

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Speaker 1: but I mean, I think that's the reason why if

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Speaker 1: he was going to go to any of these states,

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Speaker 1: he would think that Pennsylvania was the spot. And like

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Speaker 1: I said, I think, you know, he has this self image,

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Speaker 1: self conception of like Scranton, Joe and in touch with

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Speaker 1: the working class and the white working class in particular.

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Speaker 1: So they're going to Philadelphia with the thought of, you know,

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Speaker 1: will really turn out the Philadelphia like the urban core

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Speaker 1: and the suburban vote that is increasingly you know, what

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Speaker 1: Democrats rely on. And then at the same time, Trump

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Speaker 1: is going to be doing on that same day, on Saturday,

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Speaker 1: a rally in the western part of Pennsylvania, which is

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Speaker 1: a place you know, he feels like is really behind him,

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Speaker 1: and where people you know, turned out that hadn't turned

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Speaker 1: down long time vote for him in twenty sixteen and

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Speaker 1: in twenty twenty again, it's kind of a potential preview,

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Speaker 1: potential little twenty twenty four preview. And I think the

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Speaker 1: expectation is, you know, Trump may announce his presidential run

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Speaker 1: fairly quickly after the midterms. We'll see Biden will probably

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Speaker 1: get in after the holidays. So this may be a

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Speaker 1: little bit of a preview of the presidential race that

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Speaker 1: the rematch that no one wants, but we're probably going

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Speaker 1: to get anyway that one. That's what we're going to

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Speaker 1: get a preview of this weekend. There were some interesting numbers, Sogra,

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Speaker 1: I'm curious what you make of them. In that New

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Speaker 1: York Times Siena pole about Pennsylvania and how people feel

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Speaker 1: about Fetterman's health. In particular, you had a plurality of

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Speaker 1: voters saying Fetterman was not healthy enough to do the

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Speaker 1: job after the debate Wednesday night, So most of their

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Speaker 1: calls happened before the debate, and overall, only a little

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Speaker 1: over a third said he's not healthy enough to perform

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Speaker 1: the duties of the job. Of it's a very partisan

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Speaker 1: Republicans a majority seventy one percent have concerns about as health. Well,

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Speaker 1: they weren't voting for him anyway. A majority of Democrats

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Speaker 1: eighty three percent say he is healthy enough to do

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Speaker 1: the job. But there does seem to have been somewhat

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Speaker 1: of a shift. So it's still not a majority, but

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Speaker 1: a plurality, they say in the calls they made after

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Speaker 1: the debate now expressing concerns about it. Well, so I look,

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Speaker 1: I wish it would matter. I just don't think it.

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Speaker 1: I really don't. And I'll tell you why, which is

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Speaker 1: that a lot of these Dems, highly partisan Dems, they

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Speaker 1: were going to vote anyway. You know, most these people

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Speaker 1: not even vote anyway. They probably already voted early voting,

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Speaker 1: you know Pennsylvania, and the way that the mail in

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Speaker 1: ballots and all that have been working, most of that

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Speaker 1: has been sent in Republicans they were going to turn

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Speaker 1: out against. At best, it might have an impact on

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Speaker 1: day of vote to the extent that that matters. We

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Speaker 1: are actually, unfortunately seeing major polarization in America on how

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Speaker 1: people vote. Many Republicans are dragging themselves to the polls

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Speaker 1: in person on election day specifically because they've been told

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Speaker 1: they can no longer trust mail in balloting, So where

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Speaker 1: they really is it can really impact the way that

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Speaker 1: people will vote on election day. Of course, I'm not

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Speaker 1: a psychology and I have no idea how these things

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Speaker 1: are going to play. In general, I think that his

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Speaker 1: position on crime and or his ties to Joe Biden

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Speaker 1: on the stage are going to matter tenfold more than

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Speaker 1: the action. I mean, that's always I mean, this is

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Speaker 1: the candidate quality on the Democratic side question right, and

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Speaker 1: to be honest with like, and I've said this before

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Speaker 1: herschel Walker, you know, with all his issues and his

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Speaker 1: lies and the hypocrisy and all of that, I understand

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Speaker 1: if you're someone who's like, no, abortion is my issue.

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Speaker 1: So I really don't care if he's you know, has

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Speaker 1: ct ear whatever issues or is a liar whatever. Like

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Speaker 1: he's going to vote the way I want him to vote,

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Speaker 1: and I want Republicans to be in control. I don't

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Speaker 1: think that that is I don't think that makes some

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Speaker 1: sense to me. Like, I don't think that is illogical.

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Speaker 1: And I think it's the same thing with Fetterman here.

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Speaker 1: It's going to be much more. And this is ultimately

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Speaker 1: except for those one instance, this is ultimately better for Republicans.

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Speaker 1: I don't think that candidate quality is as important as

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Speaker 1: whatever the national mood ultimately is, which is why I

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Speaker 1: continue to think that Democrats are likely in for a

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Speaker 1: rough night. But I just want to couch all of

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Speaker 1: it and saying I really don't know. I mean, I'm

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00:21:10,240 --> 00:21:12,760
Speaker 1: just like so humble at this point about making any

431
00:21:12,760 --> 00:21:15,800
Speaker 1: predictions of how this is all going to unfold. We've

432
00:21:15,840 --> 00:21:20,080
Speaker 1: seen so many polling misses. We live in such chaotic times.

433
00:21:21,160 --> 00:21:24,520
Speaker 1: It's just really hard to analyze any of these races

434
00:21:24,520 --> 00:21:27,440
Speaker 1: with any level of certainty about what is ultimately going

435
00:21:27,480 --> 00:21:30,639
Speaker 1: to happen. So listen, going back to the beginning, New

436
00:21:30,720 --> 00:21:33,760
Speaker 1: York Times has polls that look pretty decent for Democrats.

437
00:21:33,840 --> 00:21:37,280
Speaker 1: You factor in the misses from last time around, and

438
00:21:37,320 --> 00:21:40,040
Speaker 1: you basically once again have a total jump ball for

439
00:21:40,160 --> 00:21:42,520
Speaker 1: the Senate. And so I think that's basically where we are.

440
00:21:42,840 --> 00:21:45,399
Speaker 1: I concur Look, I mean, if I had to bet,

441
00:21:45,600 --> 00:21:48,760
Speaker 1: I'd put money on the Republicans. That being said, been wrong.

442
00:21:48,800 --> 00:21:52,040
Speaker 1: A lot elections are crazy. Americans have a way of

443
00:21:52,080 --> 00:21:54,760
Speaker 1: always surprising us on election date. That's obviously why I

444
00:21:55,200 --> 00:21:57,439
Speaker 1: love covering it. Yeah, anytime you'll cover it and you

445
00:21:57,480 --> 00:21:59,639
Speaker 1: see returns out of South Texas for Trump and you're like,

446
00:21:59,640 --> 00:22:01,399
Speaker 1: holy shit, I didn't even know. It's like one of

447
00:22:01,440 --> 00:22:03,000
Speaker 1: those things we're like, I didn't think this is possible.

448
00:22:03,080 --> 00:22:05,359
Speaker 1: It's cool, it is. I love living here. By the way,

449
00:22:05,960 --> 00:22:08,760
Speaker 1: we are going to be doing live election night coverage here,

450
00:22:08,960 --> 00:22:11,920
Speaker 1: so stay tuned for details on that will have It'll

451
00:22:11,960 --> 00:22:15,159
Speaker 1: be us, Ryan and Emilio be here, Soger and you are,

452
00:22:15,600 --> 00:22:21,560
Speaker 1: Kyle and Marshall here, my other co os. We'll all

453
00:22:21,560 --> 00:22:25,639
Speaker 1: be on deck here to analyze whatever the hell happens

454
00:22:25,640 --> 00:22:29,480
Speaker 1: that night. So it should be fun regardless of Bianca. Yep, absolutely. Okay,

455
00:22:29,520 --> 00:22:31,919
Speaker 1: let's talk about Ukraine. So some interesting things that are

456
00:22:31,920 --> 00:22:34,800
Speaker 1: happening on the domestic front with regards to Ukraine. We

457
00:22:34,880 --> 00:22:37,840
Speaker 1: covered previously how GOP lawmakers it said that they would

458
00:22:37,840 --> 00:22:41,560
Speaker 1: see a tough time passing new aid to Ukraine, specifically

459
00:22:41,640 --> 00:22:44,399
Speaker 1: military aid. By Kevin McCarthy, he said that the American

460
00:22:44,440 --> 00:22:46,480
Speaker 1: people can no longer have a blank check for Ukraine.

461
00:22:46,720 --> 00:22:50,480
Speaker 1: He was quickly, however, rebuked by Senate Majority Leader Mitch McConnell,

462
00:22:50,480 --> 00:22:52,000
Speaker 1: who was like, no, we're going to do anything that

463
00:22:52,040 --> 00:22:53,840
Speaker 1: we want for Ukraine. So there's a little bit of

464
00:22:53,840 --> 00:22:56,119
Speaker 1: war going on. There's like three camps, is how I

465
00:22:56,119 --> 00:22:59,040
Speaker 1: would describe it. McCarthy is under pressure not from people

466
00:22:59,040 --> 00:23:01,320
Speaker 1: who are skeptical of the war, but of the fiscal hawks,

467
00:23:01,320 --> 00:23:03,800
Speaker 1: who are like, hey, we shouldn't be doing fifty billion.

468
00:23:04,440 --> 00:23:06,879
Speaker 1: And actually current indications are the Democrats are going to

469
00:23:06,880 --> 00:23:09,560
Speaker 1: try and pass another sixty billion in aid for Ukraine

470
00:23:09,720 --> 00:23:11,320
Speaker 1: or to preempt all of this, that would bring it

471
00:23:11,359 --> 00:23:13,359
Speaker 1: to one hundred and ten billion, which is, as I

472
00:23:13,440 --> 00:23:17,840
Speaker 1: have read, more than any foreign aid to any country ever,

473
00:23:18,920 --> 00:23:22,600
Speaker 1: especially in his military conflicts on par right now with

474
00:23:22,680 --> 00:23:25,160
Speaker 1: South Vietnam in the middle of the Wow Vietnam War.

475
00:23:25,320 --> 00:23:27,320
Speaker 1: Just put it in a context. It's not a proxy

476
00:23:27,320 --> 00:23:30,119
Speaker 1: work out right anyway. So there's the fiscal people. Then

477
00:23:30,160 --> 00:23:32,399
Speaker 1: there's like people kind of like us, probably the smallest

478
00:23:32,400 --> 00:23:34,840
Speaker 1: contingent of like maybe five to ten lawmakers at best

479
00:23:34,880 --> 00:23:36,640
Speaker 1: in the House of Representatives, who are like, hey, maybe

480
00:23:36,640 --> 00:23:38,720
Speaker 1: we should do something else we contingent to say it

481
00:23:38,760 --> 00:23:41,880
Speaker 1: on diplomacy, et cetera. Then there's the third camp, which

482
00:23:41,880 --> 00:23:43,680
Speaker 1: are like the McConnell folks, who are like, no, we're

483
00:23:43,720 --> 00:23:45,600
Speaker 1: not having no question, no debates We're going to give

484
00:23:45,680 --> 00:23:48,240
Speaker 1: Ukraine anything it possibly could want. Anyway, let's put this

485
00:23:48,320 --> 00:23:51,080
Speaker 1: up there on the screen. So Ukraine is now telling

486
00:23:51,119 --> 00:23:54,560
Speaker 1: the GOP that quote. It can't just be about guns.

487
00:23:54,960 --> 00:23:58,640
Speaker 1: I found this really fascinating, which is that Ukrainian leaders believe,

488
00:23:58,960 --> 00:24:01,360
Speaker 1: despite notes from some I'm on the far right, that

489
00:24:01,480 --> 00:24:05,119
Speaker 1: the GOP won't skimp on giving key military aid. In fact,

490
00:24:05,280 --> 00:24:09,679
Speaker 1: Ukraine expects even more robust weapons packages if Republicans are

491
00:24:09,760 --> 00:24:12,400
Speaker 1: in charge. That is according to their own lobbyists here

492
00:24:12,400 --> 00:24:17,200
Speaker 1: in Washington. Ukrainians are though, more concern about Republicans pairing

493
00:24:17,240 --> 00:24:20,520
Speaker 1: back future economic aid to the country. And this is

494
00:24:20,560 --> 00:24:23,040
Speaker 1: something I've actually tried to emphasize here a little bit,

495
00:24:23,080 --> 00:24:25,160
Speaker 1: which is that, look, you know, the war is the war,

496
00:24:25,600 --> 00:24:29,720
Speaker 1: but you know, Ukraine as an economic polity basically does

497
00:24:29,760 --> 00:24:31,840
Speaker 1: not exist without the United States. We pay all their bills,

498
00:24:31,960 --> 00:24:35,760
Speaker 1: balancing their budget, effectively backstopping their currency, making sure that

499
00:24:35,800 --> 00:24:38,159
Speaker 1: they can buy things on the global market. All of

500
00:24:38,160 --> 00:24:40,879
Speaker 1: that is because of US Treasury aid. And actually the

501
00:24:41,000 --> 00:24:43,480
Speaker 1: United States has given the vast majority of economic aid

502
00:24:43,720 --> 00:24:47,480
Speaker 1: to Ukraine. So it's actually interesting because one of the

503
00:24:47,520 --> 00:24:49,640
Speaker 1: critiques I had seen, and this guy could see really

504
00:24:49,720 --> 00:24:52,440
Speaker 1: landing with some GOP officials was when Ranpaul and others

505
00:24:52,440 --> 00:24:55,200
Speaker 1: were like, we're balancing Ukraine's budget before we balance our own. Now,

506
00:24:55,440 --> 00:24:57,320
Speaker 1: I don't even necessarily believe in balance budget on the

507
00:24:57,359 --> 00:24:59,720
Speaker 1: federal level, But what I'm telling people is that that

508
00:25:00,160 --> 00:25:04,040
Speaker 1: tack line actually could quite well land with the GOP caucus.

509
00:25:04,080 --> 00:25:06,679
Speaker 1: They've never had a trouble of writing blank checks to

510
00:25:06,880 --> 00:25:11,240
Speaker 1: military aid, right, But on this the Ukrainians are probably

511
00:25:11,240 --> 00:25:13,840
Speaker 1: correct to think, hey, you know, this could be a

512
00:25:13,880 --> 00:25:16,840
Speaker 1: real problem for us, because, I mean, they're if you

513
00:25:16,840 --> 00:25:19,520
Speaker 1: think inflation is bad here in Ukraine, it's like nobody

514
00:25:19,560 --> 00:25:22,040
Speaker 1: even really knows thirty forty percent. I mean, it's a

515
00:25:22,040 --> 00:25:25,120
Speaker 1: classic wartime economy they're about. Budgets are a mess, their

516
00:25:25,440 --> 00:25:29,639
Speaker 1: own currency itself. Its effectively like completely backstop by the

517
00:25:29,640 --> 00:25:32,440
Speaker 1: Federal Reserve and the US economic system. So the point

518
00:25:32,480 --> 00:25:34,879
Speaker 1: being that if they lose some of that, it actually

519
00:25:34,880 --> 00:25:37,320
Speaker 1: could cause major problems for them and their ability to

520
00:25:37,440 --> 00:25:40,760
Speaker 1: buy weapons and other things out on the global market,

521
00:25:41,119 --> 00:25:45,160
Speaker 1: even to you know, denominate different ways their transactions for grain.

522
00:25:45,240 --> 00:25:47,919
Speaker 1: Except from what I've read, it could be a serious problem. Anyway.

523
00:25:48,000 --> 00:25:51,480
Speaker 1: It's interesting to me that the Ukrainian government. They're relatively

524
00:25:51,480 --> 00:25:53,840
Speaker 1: confident they're going to get their weapons, but they're like, no,

525
00:25:53,840 --> 00:25:56,080
Speaker 1: no, no no, no, we really need the economic aid to

526
00:25:56,160 --> 00:25:57,879
Speaker 1: keep this thing going too, because they don't just have

527
00:25:58,000 --> 00:26:01,800
Speaker 1: Zelensky arguing for the weapons, they have all the weapons manufacturers. Yeah,

528
00:26:02,119 --> 00:26:04,560
Speaker 1: also Laba, I mean that's where the real divide. Why

529
00:26:05,240 --> 00:26:08,080
Speaker 1: are the Republicans so anxious and willing to send military

530
00:26:08,119 --> 00:26:10,520
Speaker 1: aid but reluctant on economic aid. Well, they're getting campaign

531
00:26:10,560 --> 00:26:14,080
Speaker 1: contributions from all of the you know, military industrial complex,

532
00:26:14,119 --> 00:26:17,359
Speaker 1: so they have a big political incentive to continue moving

533
00:26:17,359 --> 00:26:20,160
Speaker 1: in that direction. And then if they withhold the economic aid,

534
00:26:20,160 --> 00:26:23,280
Speaker 1: they get to play you know, virtuousness on the fiscal front.

535
00:26:23,400 --> 00:26:25,920
Speaker 1: And there is a real populist message that I think

536
00:26:26,080 --> 00:26:28,199
Speaker 1: just doesn't just land with the Republican base, but with

537
00:26:28,440 --> 00:26:31,200
Speaker 1: land with a lot of Americans of like Oh, Jackson,

538
00:26:31,200 --> 00:26:34,479
Speaker 1: Mississippi doesn't even have clean water, and yet we're you know,

539
00:26:34,520 --> 00:26:36,919
Speaker 1: shipping all of this aid no strings attached to the

540
00:26:37,040 --> 00:26:40,040
Speaker 1: Ukrainians in definitely writing them a blank check. So I

541
00:26:40,119 --> 00:26:43,160
Speaker 1: do think, as we've been saying, as we get into winter,

542
00:26:43,600 --> 00:26:46,480
Speaker 1: as you know, inflation continues to bite. As this thing

543
00:26:46,520 --> 00:26:48,760
Speaker 1: goes on, and on with no real end in sight.

544
00:26:48,880 --> 00:26:51,320
Speaker 1: As some of the failures of the US policy and

545
00:26:51,359 --> 00:26:53,959
Speaker 1: the NATO policy up to this point become more and

546
00:26:54,000 --> 00:26:56,480
Speaker 1: more manifest, I think there's going to be an increasing

547
00:26:56,880 --> 00:27:00,520
Speaker 1: political audience for that type of messaging. And you know,

548
00:27:00,560 --> 00:27:03,560
Speaker 1: at the same time, the Biden there's increasing reports that

549
00:27:03,600 --> 00:27:07,000
Speaker 1: bidendministration is kind of frustrated with Zelensky and the season

550
00:27:07,080 --> 00:27:10,199
Speaker 1: is kind of like ungrateful for the overwhelming support that

551
00:27:10,200 --> 00:27:12,720
Speaker 1: we've been providing. There were some indications of that actually

552
00:27:12,720 --> 00:27:15,199
Speaker 1: in the political article that we just set up, just

553
00:27:15,240 --> 00:27:17,440
Speaker 1: had up. They said early in the conflict, Zelensky urged

554
00:27:17,440 --> 00:27:20,119
Speaker 1: the US established a new fly zone over Ukraine, but

555
00:27:20,280 --> 00:27:23,200
Speaker 1: Biden of course declined. More recently is called on Biden

556
00:27:23,280 --> 00:27:26,520
Speaker 1: formally declared Russia a state sponsor of terrorism, and they

557
00:27:26,640 --> 00:27:30,520
Speaker 1: are sort of frustrated with although they understand that Zelensky

558
00:27:30,600 --> 00:27:32,760
Speaker 1: is just trying to look out for his own national interests,

559
00:27:32,760 --> 00:27:34,960
Speaker 1: and I think we all get that there's a frustration

560
00:27:35,080 --> 00:27:37,440
Speaker 1: with the amount of aid that we've sent and then

561
00:27:37,480 --> 00:27:42,560
Speaker 1: the continued escalation of public demands from Zelenski that apparently

562
00:27:42,720 --> 00:27:45,080
Speaker 1: broke out into the open on a phone call back

563
00:27:45,119 --> 00:27:47,480
Speaker 1: in June according to a report, let's go and put

564
00:27:47,480 --> 00:27:50,600
Speaker 1: this up on the screen. Apparently Biden lost his temper.

565
00:27:51,040 --> 00:27:54,240
Speaker 1: He got grumpy old man with Selenski in a June

566
00:27:54,240 --> 00:27:57,280
Speaker 1: phone call when the Ukrainian leader asked for war aid,

567
00:27:57,560 --> 00:28:00,560
Speaker 1: and the context here, as they say, Biden had barely

568
00:28:00,600 --> 00:28:03,680
Speaker 1: finished telling Zelenski just green lighted another one billion dollars

569
00:28:03,720 --> 00:28:07,560
Speaker 1: in US military assistance for Ukraine, when Zelenski already started

570
00:28:07,560 --> 00:28:10,240
Speaker 1: listing all the additional help that he needed and wasn't getting.

571
00:28:10,520 --> 00:28:13,080
Speaker 1: Biden lost his temper. People familiar with the call said

572
00:28:13,200 --> 00:28:15,720
Speaker 1: American people were being quite generous, and his administration in

573
00:28:15,720 --> 00:28:18,280
Speaker 1: the US military are working hard to help Ukraine, he said,

574
00:28:18,359 --> 00:28:22,679
Speaker 1: raising his voice, and Zelensky could show a little more gratitude.

575
00:28:22,880 --> 00:28:24,600
Speaker 1: It's going to be interesting to see how this all

576
00:28:24,600 --> 00:28:28,400
Speaker 1: plays out. I mean, I think everyone almost certainly expects

577
00:28:28,400 --> 00:28:30,560
Speaker 1: that the Senate may be a little bit of a

578
00:28:30,560 --> 00:28:33,320
Speaker 1: dice Yer proposition by Republicans are almost certain to be

579
00:28:33,400 --> 00:28:36,320
Speaker 1: in control of the House, and the House is actually

580
00:28:36,320 --> 00:28:39,080
Speaker 1: where you have more descent in the Republican caucus in

581
00:28:39,160 --> 00:28:42,480
Speaker 1: terms of the direction on Ukraine aid. So there is

582
00:28:42,520 --> 00:28:44,880
Speaker 1: a possibility here that this could be some sort of

583
00:28:44,920 --> 00:28:47,760
Speaker 1: negotiating leverage for Biden where he can play a kind

584
00:28:47,760 --> 00:28:49,520
Speaker 1: of good cop bad cop of like, of course I

585
00:28:49,560 --> 00:28:51,360
Speaker 1: want to continue supporting you, but I got to deal

586
00:28:51,400 --> 00:28:53,760
Speaker 1: with these Republicans in Congress, and they have different views

587
00:28:53,760 --> 00:28:56,840
Speaker 1: about this. It could, in a sense strengthen his hand

588
00:28:56,960 --> 00:28:58,680
Speaker 1: if he wants it, to see, I just don't think so,

589
00:28:58,720 --> 00:29:00,520
Speaker 1: because I think the damsel just give him sixty billion

590
00:29:00,560 --> 00:29:03,520
Speaker 1: dollars beforehand, they'll just pre appropriate. We see how fast

591
00:29:03,520 --> 00:29:07,880
Speaker 1: they ripped through that, Well, they haven't even spent most

592
00:29:07,880 --> 00:29:09,719
Speaker 1: of that. A lot of it. I think more than

593
00:29:09,720 --> 00:29:11,520
Speaker 1: half of it has not even yet been dispersed, so

594
00:29:11,560 --> 00:29:14,000
Speaker 1: they're effectively just going to write remember how this And

595
00:29:14,040 --> 00:29:15,960
Speaker 1: this has always been my problem with the aid, which

596
00:29:16,000 --> 00:29:17,560
Speaker 1: is that I don't have any problem giving the Ukraine

597
00:29:17,560 --> 00:29:19,320
Speaker 1: as military aid, but I think that a lot of

598
00:29:19,360 --> 00:29:22,440
Speaker 1: it should be constrained by the People's Congress and buy

599
00:29:22,640 --> 00:29:25,600
Speaker 1: some goals for what exactly we want in Ukraine. So,

600
00:29:25,840 --> 00:29:27,760
Speaker 1: for example, I don't think any aid should go to

601
00:29:27,840 --> 00:29:29,720
Speaker 1: Ukraine if they're going to use it to maybe bomb

602
00:29:29,720 --> 00:29:33,840
Speaker 1: abridge in Crimea, or maybe launching airstrike on Crimea with

603
00:29:33,920 --> 00:29:37,200
Speaker 1: a US providing weapon bomb erousion civilian on the aroos

604
00:29:37,240 --> 00:29:38,760
Speaker 1: and soil. You want to do that and get into

605
00:29:38,840 --> 00:29:41,000
Speaker 1: a war by yourself, you be my guest. But you're

606
00:29:41,000 --> 00:29:42,320
Speaker 1: not going to do it with the stuff that we

607
00:29:42,360 --> 00:29:45,080
Speaker 1: give you. And so that's always been my issue, which

608
00:29:45,120 --> 00:29:48,600
Speaker 1: is that none of this is preconditioned. And unfortunately the

609
00:29:48,640 --> 00:29:50,880
Speaker 1: way that I read this, if people will remember the

610
00:29:50,960 --> 00:29:53,680
Speaker 1: last time that supplemental AID passed, I read through those

611
00:29:53,680 --> 00:29:55,240
Speaker 1: provisions where it just says to the President of the

612
00:29:55,320 --> 00:29:58,000
Speaker 1: United States up until twenty twenty five, may disperse that

613
00:29:58,080 --> 00:30:00,640
Speaker 1: as as well, whatever to the country of Ukraine. That's

614
00:30:00,680 --> 00:30:02,960
Speaker 1: the issue, which is that. And again remember, look, Biden

615
00:30:02,960 --> 00:30:06,360
Speaker 1: could drop dead tomorrow. You want Kamala to have sixty

616
00:30:06,440 --> 00:30:09,280
Speaker 1: eight billion to play with to give whatever she wants

617
00:30:09,480 --> 00:30:11,960
Speaker 1: to Ukrainians, you should ask yourself that question. Yeah, same

618
00:30:12,000 --> 00:30:14,080
Speaker 1: with Trump, just so everybody knows. I mean, you know,

619
00:30:14,120 --> 00:30:17,320
Speaker 1: Trump is exactly a yo yo on Ukraine. He's constantly

620
00:30:17,320 --> 00:30:19,840
Speaker 1: either we should nuke Russia or right the other way.

621
00:30:19,960 --> 00:30:22,080
Speaker 1: All of this AID, just so people will be aware,

622
00:30:22,240 --> 00:30:24,840
Speaker 1: would be completely at the disposal of the commander in

623
00:30:24,880 --> 00:30:28,000
Speaker 1: chief of the United States for whomever right holds that offense.

624
00:30:28,080 --> 00:30:29,640
Speaker 1: You know, it was interesting I was looking at some

625
00:30:29,720 --> 00:30:32,760
Speaker 1: of this polling last week and in the early phases

626
00:30:32,800 --> 00:30:37,200
Speaker 1: of the conflict, the critique coming from Republicans, including Trump

627
00:30:37,240 --> 00:30:39,520
Speaker 1: then really led in certain ways by Trump, was that

628
00:30:39,560 --> 00:30:42,560
Speaker 1: the Biden administration wasn't doing enough. They weren't shipping enough weapons,

629
00:30:42,600 --> 00:30:44,480
Speaker 1: they weren't doing the no fly zone, they weren't being

630
00:30:44,480 --> 00:30:47,479
Speaker 1: hawkish enough. Now, as you said, that's sort of yo,

631
00:30:47,600 --> 00:30:51,160
Speaker 1: yo to what I considered to be a better position

632
00:30:51,280 --> 00:30:53,200
Speaker 1: of you know, we can't do this forever. We need

633
00:30:53,240 --> 00:30:55,640
Speaker 1: to have preconditions. I mean, in the best of their critiques,

634
00:30:55,680 --> 00:30:57,320
Speaker 1: some of their critiques are a little bit off the mark,

635
00:30:57,320 --> 00:30:59,280
Speaker 1: but in the best of their critiques, it's like, hold up,

636
00:30:59,320 --> 00:31:01,000
Speaker 1: let's have a little bit of transplts will have some

637
00:31:01,000 --> 00:31:04,320
Speaker 1: accountability about where this is all going. That could just

638
00:31:04,440 --> 00:31:08,200
Speaker 1: as easily yo yo, right back to they're not doing

639
00:31:08,320 --> 00:31:10,920
Speaker 1: enough and we need to ship more weapons. And in fact,

640
00:31:11,240 --> 00:31:14,000
Speaker 1: that's where all of the center of gravity really pulls

641
00:31:14,040 --> 00:31:17,800
Speaker 1: you in Washington, DC, that's the easiest case to make.

642
00:31:18,400 --> 00:31:21,160
Speaker 1: All of the cable news networks, but especially CNN and

643
00:31:21,200 --> 00:31:25,000
Speaker 1: Fox News are all primed to make that argument. It's

644
00:31:25,040 --> 00:31:28,040
Speaker 1: frankly at this point with the American people, given the

645
00:31:28,080 --> 00:31:31,200
Speaker 1: way that the war has been like the lack of

646
00:31:31,320 --> 00:31:33,720
Speaker 1: education on the war and the potential consequences that has

647
00:31:33,720 --> 00:31:36,000
Speaker 1: occurred with the US media, It'd be easier to make

648
00:31:36,040 --> 00:31:38,520
Speaker 1: that case to the American people ultimately, given where their

649
00:31:38,560 --> 00:31:42,280
Speaker 1: emotions are right now. So it's just as easy to

650
00:31:42,280 --> 00:31:45,160
Speaker 1: see the Lindsey Grahams and the Mitch McConnell's of the

651
00:31:45,160 --> 00:31:48,640
Speaker 1: world winning out the argument and having the Republican base,

652
00:31:48,840 --> 00:31:51,360
Speaker 1: led by Republican leadership saying no, no, no, we need

653
00:31:51,400 --> 00:31:53,600
Speaker 1: to do more. We need to give them longer range missiles.

654
00:31:53,600 --> 00:31:55,480
Speaker 1: We need to be all in, especially when it comes

655
00:31:55,520 --> 00:31:58,080
Speaker 1: to weapons. So I don't put that off the table once.

656
00:31:58,080 --> 00:31:59,480
Speaker 1: We should put it off the table. We already had

657
00:31:59,480 --> 00:32:02,680
Speaker 1: a reducs of it's called twenty fourteen and then twenty eighteen.

658
00:32:02,720 --> 00:32:05,840
Speaker 1: So what happened? So brief history lesson. Barack Obama gets

659
00:32:05,840 --> 00:32:08,320
Speaker 1: savaged by John McCain, Lindsay Graham and many other people,

660
00:32:08,560 --> 00:32:12,400
Speaker 1: Mike Pompeo and others for not shipping javelin missiles to Ukraine,

661
00:32:12,680 --> 00:32:14,440
Speaker 1: and they're like, you need to give him javelins and

662
00:32:14,440 --> 00:32:15,920
Speaker 1: Obama was like, no, I'm not going to do it.

663
00:32:15,960 --> 00:32:18,480
Speaker 1: He does a major spread with Jeffrey Goldberg where he

664
00:32:18,520 --> 00:32:20,520
Speaker 1: says at the end of the day, I'm roughly quoting

665
00:32:20,560 --> 00:32:22,240
Speaker 1: him here. He says, at the end of the day,

666
00:32:22,400 --> 00:32:24,280
Speaker 1: Ukraine will always be a core interest for Russia. It's

667
00:32:24,280 --> 00:32:25,640
Speaker 1: not a coor interest for US. And if people want

668
00:32:25,720 --> 00:32:27,520
Speaker 1: us to go to war with Russia, they should say that,

669
00:32:27,560 --> 00:32:30,440
Speaker 1: because I don't believe that we should. Very different rhetoric

670
00:32:31,400 --> 00:32:34,840
Speaker 1: pre Russia Gate. Trump comes into office despite all of this, Oh,

671
00:32:34,880 --> 00:32:37,920
Speaker 1: I want a Russian reset, etc. He abandons that at

672
00:32:37,960 --> 00:32:40,560
Speaker 1: a policy level case to Mike Pompeio, the Lindsay Grahams

673
00:32:40,600 --> 00:32:43,720
Speaker 1: of the world. So immediately starts shipping javelins over to Ukraine.

674
00:32:43,840 --> 00:32:47,120
Speaker 1: And look, I mean accelerated the civil war almost certainly

675
00:32:47,160 --> 00:32:48,920
Speaker 1: to the point of where it is. I'm not saying

676
00:32:48,960 --> 00:32:51,800
Speaker 1: that's the sole cause. I'm saying was obviously some factor

677
00:32:52,120 --> 00:32:54,280
Speaker 1: in what happened over there. So we have had that

678
00:32:54,320 --> 00:32:56,880
Speaker 1: play out. It is not a guarantee that they don't

679
00:32:57,080 --> 00:32:59,320
Speaker 1: do that, and in fact, it's very possible, as they

680
00:32:59,360 --> 00:33:04,040
Speaker 1: said that, they could pass even more demanding things through Congress,

681
00:33:04,520 --> 00:33:07,800
Speaker 1: telling Biden that he has to ship certain weapons systems

682
00:33:07,800 --> 00:33:10,800
Speaker 1: to Ukraine if the AID does want to get signed

683
00:33:10,960 --> 00:33:13,600
Speaker 1: by the commander achieved. So look, it's a jump ball

684
00:33:13,720 --> 00:33:15,680
Speaker 1: on how exactly it all goes. And I don't want

685
00:33:15,680 --> 00:33:17,320
Speaker 1: anyone to come away with the idea that, you know,

686
00:33:17,320 --> 00:33:19,480
Speaker 1: if the Republicans take control, this is going to change

687
00:33:19,520 --> 00:33:21,600
Speaker 1: the situation on the ground. I actually think it's probably

688
00:33:21,600 --> 00:33:24,680
Speaker 1: the opposite, as you said, overwhelming pressure. I've said a

689
00:33:24,680 --> 00:33:26,560
Speaker 1: lot of controversial things in my life. I don't think

690
00:33:26,840 --> 00:33:29,200
Speaker 1: people have ever been more angry with me than when

691
00:33:29,240 --> 00:33:32,640
Speaker 1: I questioned the Ukraine consensus. Just so everybody, yeah, all right,

692
00:33:32,800 --> 00:33:34,840
Speaker 1: well you saw what happened to the Progressives when they

693
00:33:35,280 --> 00:33:39,040
Speaker 1: tiptoed barely into that water differences. I did hit a shit, right,

694
00:33:39,160 --> 00:33:41,360
Speaker 1: that is the difference, and you have a little tiny

695
00:33:41,400 --> 00:33:44,080
Speaker 1: bit of a backbone, unlike them that are just total MUSHes,

696
00:33:44,120 --> 00:33:45,680
Speaker 1: with the exception of Rokana, who I do want to

697
00:33:45,680 --> 00:33:47,360
Speaker 1: give credit to correct. All right, So let's move on

698
00:33:47,400 --> 00:33:49,720
Speaker 1: though to the next part, because there's some weird stuff

699
00:33:50,000 --> 00:33:52,360
Speaker 1: going on, and let's put this on the screen. Norway

700
00:33:52,520 --> 00:33:55,520
Speaker 1: actually has put its military on a raised alert level

701
00:33:55,800 --> 00:33:58,440
Speaker 1: in response to the Ukraine War. Now, obviously the question

702
00:33:58,560 --> 00:34:01,760
Speaker 1: is why why. Now it actually gets back to the

703
00:34:01,760 --> 00:34:07,160
Speaker 1: Nordstream pipeline and to increasing worries whenever we are thinking

704
00:34:07,240 --> 00:34:11,600
Speaker 1: about energy infrastructure across Europe as it continues to get colder.

705
00:34:11,640 --> 00:34:13,759
Speaker 1: So here's what they said, quote, this is the most

706
00:34:13,760 --> 00:34:17,279
Speaker 1: severe security situation in several decades. There are no indications

707
00:34:17,280 --> 00:34:19,560
Speaker 1: that Russia is expanding its war to other countries, but

708
00:34:19,640 --> 00:34:23,120
Speaker 1: increased tensions make us more exposed to threats, intelligence operations,

709
00:34:23,160 --> 00:34:26,160
Speaker 1: and influence campaigns. He continued to emphasize, there is no

710
00:34:26,280 --> 00:34:28,960
Speaker 1: reason to believe that Russia will invade Norway or any

711
00:34:28,960 --> 00:34:32,640
Speaker 1: other country quote directly, but we must be more vigilant.

712
00:34:32,680 --> 00:34:35,719
Speaker 1: I don't believe ordinary people will notice any change. The

713
00:34:35,760 --> 00:34:39,040
Speaker 1: reason why is that a Norway is currently seeking to

714
00:34:39,080 --> 00:34:43,160
Speaker 1: bring a new fleet of US submarine hunting patrol aircraft

715
00:34:43,200 --> 00:34:47,160
Speaker 1: into regular operations in its territory. Because people should remember

716
00:34:47,320 --> 00:34:51,000
Speaker 1: that at the very same day actually that the Nordstream Pipeline,

717
00:34:51,560 --> 00:34:55,319
Speaker 1: whatever happened to it, the Norway actually had inaugurated a

718
00:34:55,360 --> 00:34:59,160
Speaker 1: new pipeline from the Baltic Sea which was specifically designed

719
00:34:59,239 --> 00:35:03,240
Speaker 1: and being so by European policymakers as the new energy

720
00:35:03,280 --> 00:35:08,320
Speaker 1: lifeline outside of the Russian influence sphere. The problem, obviously

721
00:35:08,480 --> 00:35:11,560
Speaker 1: is that Russians and nobody military planner on Earth is

722
00:35:11,640 --> 00:35:13,960
Speaker 1: stupid and can look at that pipeline and say, hmm,

723
00:35:14,000 --> 00:35:16,400
Speaker 1: it looks like a real nice target for me. Whomever

724
00:35:16,560 --> 00:35:19,840
Speaker 1: would want to, you know, sabotage that change the situation.

725
00:35:20,200 --> 00:35:23,120
Speaker 1: It's a very very single point of failure which could

726
00:35:23,160 --> 00:35:26,320
Speaker 1: have tremendous consequences. Of reading a very interesting article yesterday

727
00:35:26,760 --> 00:35:28,880
Speaker 1: I had talked about, Oh you know, I was like,

728
00:35:29,280 --> 00:35:31,600
Speaker 1: Europe's probably going to be fine because they do have

729
00:35:31,600 --> 00:35:33,920
Speaker 1: a lot of natural gas stock all that. What my

730
00:35:34,040 --> 00:35:36,600
Speaker 1: mistake was is I was thinking about it in the

731
00:35:36,640 --> 00:35:39,759
Speaker 1: current infrastructure. I was not factoring in that if they

732
00:35:39,800 --> 00:35:42,760
Speaker 1: do lose this pipeline, if they do lose a couple

733
00:35:42,760 --> 00:35:45,680
Speaker 1: of key pieces of energy infrastructure, you're actually back in

734
00:35:45,680 --> 00:35:48,080
Speaker 1: the dark ages effectively, Like then you are talking about

735
00:35:48,080 --> 00:35:51,800
Speaker 1: thirty forty percent cuts across the board. So the issue

736
00:35:51,840 --> 00:35:56,000
Speaker 1: across Norway and a lot of this area is they

737
00:35:56,000 --> 00:35:59,839
Speaker 1: are home to a significant oil and gas infrastructure which

738
00:35:59,920 --> 00:36:03,400
Speaker 1: is not just powering them, but powering the entire continent.

739
00:36:03,480 --> 00:36:05,920
Speaker 1: It also comes on the heels of a really weird

740
00:36:06,000 --> 00:36:08,560
Speaker 1: report out of Finish Media. Let's put this up there

741
00:36:08,719 --> 00:36:10,359
Speaker 1: on the screen, thought that we owed all of you

742
00:36:10,400 --> 00:36:14,160
Speaker 1: to discuss it, which is that nuclear weapons could be

743
00:36:14,440 --> 00:36:18,120
Speaker 1: and I want to emphasize could be positioned in Finland

744
00:36:18,400 --> 00:36:22,680
Speaker 1: if the country's application to NATO is approved. This is

745
00:36:22,840 --> 00:36:27,960
Speaker 1: according to a major Finnish newspaper. So remember, Finland and

746
00:36:27,960 --> 00:36:30,719
Speaker 1: Swedo have Swinland and Sweden have submitted applications to join

747
00:36:30,800 --> 00:36:34,680
Speaker 1: NATO in May after the Russian invasion of Ukraine. However,

748
00:36:34,719 --> 00:36:37,960
Speaker 1: according to the major Helsinki based newspaper, which I'm not

749
00:36:38,000 --> 00:36:41,479
Speaker 1: going to try and pronounce regarding NATO membership, they will

750
00:36:41,719 --> 00:36:47,320
Speaker 1: possibly again before Parliament, does not include any opt outs

751
00:36:47,440 --> 00:36:52,160
Speaker 1: in the script for nuclear weapons deployed on their territory.

752
00:36:52,440 --> 00:36:56,400
Speaker 1: The assumption is basically, if you're in NATO, you're accepting

753
00:36:56,400 --> 00:36:59,600
Speaker 1: this the potential of nuclear weapons being placed on your territory.

754
00:36:59,680 --> 00:37:01,440
Speaker 1: And they did not say that we don't want That

755
00:37:01,600 --> 00:37:03,440
Speaker 1: hasn't been part of their negotiation, so there are no

756
00:37:03,800 --> 00:37:06,920
Speaker 1: restrictions right now, also establishing NATO bases in the country.

757
00:37:06,920 --> 00:37:08,399
Speaker 1: So you could you could read these two ways, which

758
00:37:08,440 --> 00:37:11,280
Speaker 1: is one you could say they're keeping the door open

759
00:37:11,600 --> 00:37:14,240
Speaker 1: for the immediate term. Two, which is they'd be fools

760
00:37:14,360 --> 00:37:16,680
Speaker 1: to rule it out because you know, you never know

761
00:37:16,719 --> 00:37:19,960
Speaker 1: what's gonna happen. You want to be in a situation anyway.

762
00:37:20,080 --> 00:37:23,240
Speaker 1: It caused a little bit of a stir in Finland whatever,

763
00:37:23,280 --> 00:37:25,560
Speaker 1: because they have you know, they have debates over there too.

764
00:37:25,600 --> 00:37:28,520
Speaker 1: People shouldn't forget. It wasn't really until Ukraine that a

765
00:37:28,560 --> 00:37:31,160
Speaker 1: lot of finished Finn's did not want to be in NATO.

766
00:37:31,200 --> 00:37:33,200
Speaker 1: They're like, no, we don't see any point now, what's

767
00:37:33,239 --> 00:37:35,560
Speaker 1: the point of antagonizing Russia. But then after that they

768
00:37:35,600 --> 00:37:37,359
Speaker 1: were like, okay, screw it. Part of why, by the way,

769
00:37:37,440 --> 00:37:40,040
Speaker 1: the Russian invasion was such a strategic disaster, right, you know,

770
00:37:40,120 --> 00:37:43,600
Speaker 1: to turn effectively neutral populations who have literally fought wars

771
00:37:43,640 --> 00:37:45,840
Speaker 1: against you and said no, we're out. You know, we

772
00:37:46,120 --> 00:37:48,840
Speaker 1: don't want even to have the chance of this. The

773
00:37:48,880 --> 00:37:51,520
Speaker 1: point is is that a lot of eyes right now

774
00:37:51,640 --> 00:37:56,200
Speaker 1: on US nukes deployed across Europe. Nobody exactly knows where

775
00:37:56,280 --> 00:37:58,400
Speaker 1: they all are. We know that we've got some in

776
00:37:58,440 --> 00:38:01,239
Speaker 1: like Belgium and Germany and Italy and the Netherlands and

777
00:38:01,280 --> 00:38:05,160
Speaker 1: in Turkey. We don't know whether we are still considering

778
00:38:05,440 --> 00:38:07,600
Speaker 1: what the Polish prime minister had asked for which he

779
00:38:07,640 --> 00:38:11,160
Speaker 1: wanted nuclear weapons directly in his country. The Fins I

780
00:38:11,160 --> 00:38:14,560
Speaker 1: guess keeping the door open. All of this just points

781
00:38:14,600 --> 00:38:17,279
Speaker 1: to it's still a precarious security situation. You know, we

782
00:38:17,360 --> 00:38:20,080
Speaker 1: may not be talking about missiles raining down on keep

783
00:38:20,160 --> 00:38:22,560
Speaker 1: although you know, low grade attacks on their critical energy

784
00:38:22,560 --> 00:38:26,239
Speaker 1: infrastructure continues all every single day in the war. So

785
00:38:26,360 --> 00:38:29,480
Speaker 1: just because it isn't that major missile rained down thing

786
00:38:29,520 --> 00:38:31,279
Speaker 1: that we saw a couple of days ago, doesn't mean

787
00:38:31,280 --> 00:38:34,080
Speaker 1: that the war isn't continuing and that the people in

788
00:38:34,080 --> 00:38:38,680
Speaker 1: the region are not preparing for a possible escalation in

789
00:38:38,719 --> 00:38:41,479
Speaker 1: the event of some you know, insane event. So look,

790
00:38:41,560 --> 00:38:43,600
Speaker 1: nobody thought Norsing was going to happen, and then that happened,

791
00:38:43,640 --> 00:38:46,000
Speaker 1: so we have no idea what right move could be. Well,

792
00:38:46,120 --> 00:38:51,040
Speaker 1: and whoever is behind the nord Stream sabotage Putin used

793
00:38:51,040 --> 00:38:54,399
Speaker 1: it to say, oh, we see that, it's okay, now

794
00:38:54,560 --> 00:38:56,920
Speaker 1: you set the precedent, because they're of course blaming you know,

795
00:38:56,960 --> 00:38:59,400
Speaker 1: the US and NATO. Maybe they're right, maybe they're not,

796
00:39:00,320 --> 00:39:01,960
Speaker 1: but they're using it to say, oh, you've set the

797
00:39:02,000 --> 00:39:04,839
Speaker 1: precedent that we can strike critical infrastructure, and we've seen

798
00:39:04,880 --> 00:39:06,719
Speaker 1: what they've been doing on the ground in Ukraine. So

799
00:39:06,760 --> 00:39:08,560
Speaker 1: that's part of the nervousness here. There was one other

800
00:39:08,560 --> 00:39:10,480
Speaker 1: piece of news that I noted this morning that I

801
00:39:10,520 --> 00:39:12,279
Speaker 1: wanted to make sure to bring to you guys, which

802
00:39:12,280 --> 00:39:15,240
Speaker 1: is that Putin is now officially saying that the partial

803
00:39:15,239 --> 00:39:18,760
Speaker 1: mobilization of citizens to fight in their war against Ukraine

804
00:39:18,760 --> 00:39:23,440
Speaker 1: has ended. Obviously, that provoked, you know, huge backlash domestically,

805
00:39:23,920 --> 00:39:26,279
Speaker 1: and really, you know, in a sense, it was a

806
00:39:26,400 --> 00:39:31,120
Speaker 1: very psychological turning point for the Russian population because up

807
00:39:31,200 --> 00:39:33,480
Speaker 1: to that point, all of the efforts had been to

808
00:39:33,760 --> 00:39:36,920
Speaker 1: insulate most of the Russian population from what was happening

809
00:39:36,920 --> 00:39:39,959
Speaker 1: in Ukraine, to have basically business as usual, go about

810
00:39:40,000 --> 00:39:42,320
Speaker 1: their day, don't worry about what we're doing over here,

811
00:39:42,680 --> 00:39:44,520
Speaker 1: and this was really a ripping of the band aid

812
00:39:44,560 --> 00:39:48,520
Speaker 1: off of that trajectory was just no longer feasible if

813
00:39:48,520 --> 00:39:50,239
Speaker 1: they were going to continue to have any kind of

814
00:39:50,280 --> 00:39:53,160
Speaker 1: a shot in this war. Ultimately, you know that some

815
00:39:53,440 --> 00:39:56,440
Speaker 1: hundreds of thousands, we don't really know of military age

816
00:39:56,440 --> 00:40:01,000
Speaker 1: men fled the country to avoid this draft mobiliza. There's

817
00:40:01,040 --> 00:40:03,560
Speaker 1: no guarantees that this will be the end or that

818
00:40:03,600 --> 00:40:06,000
Speaker 1: they won't do another draft, but at least for now,

819
00:40:06,280 --> 00:40:08,480
Speaker 1: what he is saying is that the partial mobilization has

820
00:40:08,480 --> 00:40:13,680
Speaker 1: been completed. Yeah, makes sense. Let's go ahead and move

821
00:40:13,680 --> 00:40:16,359
Speaker 1: on to the next one. This is something which I love.

822
00:40:16,760 --> 00:40:19,240
Speaker 1: Let's put this up there on the screen. Some major

823
00:40:19,719 --> 00:40:23,800
Speaker 1: major news after Elon has bought Twitter. Elon has ordered

824
00:40:23,920 --> 00:40:27,920
Speaker 1: the team of engineers to revive the Vine code and

825
00:40:28,120 --> 00:40:32,359
Speaker 1: reboot the app sometime this year so people will may

826
00:40:32,400 --> 00:40:35,560
Speaker 1: not remember. Vine actually was shuttered in twenty sixteen after

827
00:40:35,640 --> 00:40:39,200
Speaker 1: it was acquired by Twitter in twenty twelve. It's really

828
00:40:39,239 --> 00:40:41,960
Speaker 1: interesting what a lot of Twitter engineers are saying is

829
00:40:41,960 --> 00:40:44,279
Speaker 1: that the old code base quote needs a lot of

830
00:40:44,320 --> 00:40:46,360
Speaker 1: work because it hasn't been up in a few years,

831
00:40:46,400 --> 00:40:49,080
Speaker 1: in six years, and it's not really built for I

832
00:40:49,080 --> 00:40:51,880
Speaker 1: mean not only like modern platforms, but if you just

833
00:40:51,880 --> 00:40:54,000
Speaker 1: think about how much social media has changed in the

834
00:40:54,040 --> 00:40:57,160
Speaker 1: last six years with the emergence of TikTok. One of

835
00:40:57,200 --> 00:40:59,360
Speaker 1: the reasons it's interesting is I'm doing a whole monologue

836
00:40:59,400 --> 00:41:01,800
Speaker 1: on this, which like, how exactly do they turn around

837
00:41:02,040 --> 00:41:07,280
Speaker 1: which is a failing business on almost every metric from staffing, advertising.

838
00:41:07,520 --> 00:41:10,719
Speaker 1: The way that they bet their future was just fundamentally wrong,

839
00:41:10,800 --> 00:41:12,360
Speaker 1: and that's part of the reason why they ended up

840
00:41:12,400 --> 00:41:15,040
Speaker 1: having to sell to Elon, and even at forty four billion.

841
00:41:15,080 --> 00:41:17,759
Speaker 1: It was a dramatically overpriced company. You know, at its

842
00:41:17,800 --> 00:41:20,000
Speaker 1: current valuation of what it should have been worth, it's

843
00:41:20,000 --> 00:41:23,280
Speaker 1: something like twenty five billion, which is like an average

844
00:41:23,480 --> 00:41:27,280
Speaker 1: week or whatever at Facebook. So how exactly does that happen?

845
00:41:27,520 --> 00:41:30,200
Speaker 1: So what they're pointing and looking to is a couple

846
00:41:30,280 --> 00:41:32,200
Speaker 1: of things. Number One, it doesn't take a genius to

847
00:41:32,200 --> 00:41:35,239
Speaker 1: figure out the TikTok is a very precarious ground here

848
00:41:35,280 --> 00:41:37,640
Speaker 1: in the US. They really only have a couple of options,

849
00:41:37,680 --> 00:41:41,640
Speaker 1: which we've talked about previously. Number One, like an outright band,

850
00:41:41,760 --> 00:41:44,400
Speaker 1: which I think is increasingly on the table, although I

851
00:41:44,400 --> 00:41:47,800
Speaker 1: don't think the Biden administration wants to antagonize young voters. Two,

852
00:41:48,120 --> 00:41:50,160
Speaker 1: this is the more interesting one to me as a

853
00:41:50,239 --> 00:41:53,000
Speaker 1: forced sale. Basically, we're like, look, it is just not

854
00:41:53,920 --> 00:41:56,960
Speaker 1: it is not possible to have this company with this

855
00:41:57,000 --> 00:42:00,120
Speaker 1: amount of access to America's data having been used specific

856
00:42:00,280 --> 00:42:02,360
Speaker 1: for spyware purposes, to be in the hands of the

857
00:42:02,440 --> 00:42:05,600
Speaker 1: Chinese government. So you've got to sell it. The issue is,

858
00:42:05,640 --> 00:42:07,480
Speaker 1: and I didn't know this, you'll love this. Part of

859
00:42:07,480 --> 00:42:10,000
Speaker 1: the reason why the Trump administrations forced sale didn't work

860
00:42:10,000 --> 00:42:13,319
Speaker 1: out is that US investors in byte Dance would have

861
00:42:13,320 --> 00:42:16,480
Speaker 1: had standing to sue in a forced sale if they

862
00:42:16,520 --> 00:42:18,759
Speaker 1: did not make if they didn't decide that it was

863
00:42:18,800 --> 00:42:21,320
Speaker 1: a fair profit that they were making. So they're effectively

864
00:42:21,360 --> 00:42:24,920
Speaker 1: weaponizing American securities laws against their own government, and for

865
00:42:24,960 --> 00:42:28,480
Speaker 1: a national security concern. It's actually easier to ban it

866
00:42:28,560 --> 00:42:30,640
Speaker 1: than it is to force them to sell, which is

867
00:42:30,719 --> 00:42:33,720
Speaker 1: hilarious given the way that our legal and jurisprudence system.

868
00:42:33,760 --> 00:42:35,880
Speaker 1: I didn't even know this. A couple of my legal

869
00:42:35,880 --> 00:42:38,239
Speaker 1: friends are telling me. The third option, which is the

870
00:42:38,320 --> 00:42:40,919
Speaker 1: least desirable option in my opinion, is that they would

871
00:42:40,920 --> 00:42:44,160
Speaker 1: reach some fake deal where they're like, well, all the

872
00:42:44,280 --> 00:42:47,360
Speaker 1: data has to be held by Americans and a fake

873
00:42:47,440 --> 00:42:50,480
Speaker 1: independent review board will look at it every It's all bullshit,

874
00:42:50,520 --> 00:42:52,920
Speaker 1: Like if a Chinese company owns it, it's over. They

875
00:42:52,920 --> 00:42:56,640
Speaker 1: have access to it, and the CCP can have control. Again,

876
00:42:56,800 --> 00:42:58,400
Speaker 1: it does not take a genius to figure out that

877
00:42:58,480 --> 00:43:00,520
Speaker 1: one of those three options is on the table. It

878
00:43:00,600 --> 00:43:02,880
Speaker 1: is going to have some impact, some we don't know

879
00:43:03,160 --> 00:43:07,680
Speaker 1: on TikTok. So what's the closest analogous technology. It was Vine,

880
00:43:07,840 --> 00:43:09,640
Speaker 1: and a lot of people have been saying for a while.

881
00:43:10,360 --> 00:43:13,920
Speaker 1: Vine was not first market necessarily in the format, but

882
00:43:13,960 --> 00:43:16,680
Speaker 1: you know, it was a thriving platform that was really

883
00:43:16,719 --> 00:43:18,840
Speaker 1: taken it off and had somewhat of a cultural imprint

884
00:43:19,160 --> 00:43:21,759
Speaker 1: at the moment, definitely from what I read though. Part

885
00:43:21,760 --> 00:43:23,279
Speaker 1: of the issue though, and let's put this up next.

886
00:43:23,280 --> 00:43:26,239
Speaker 1: Part up there on the screen. Elon actually had a

887
00:43:26,280 --> 00:43:29,160
Speaker 1: Twitter poll where he was actually got back Vine or not.

888
00:43:29,280 --> 00:43:33,200
Speaker 1: Seventy percent voted yes. Mister beast reply said if you

889
00:43:33,239 --> 00:43:35,960
Speaker 1: did that and actually competed with TikTok, that'd be hilarious,

890
00:43:36,000 --> 00:43:37,520
Speaker 1: and he said, what could we do to make it

891
00:43:37,560 --> 00:43:40,080
Speaker 1: better than TikTok? So I think that Elon and the

892
00:43:40,120 --> 00:43:42,560
Speaker 1: team over there are really thinking about what the future

893
00:43:42,600 --> 00:43:45,480
Speaker 1: of that short form media content could be. I do

894
00:43:45,520 --> 00:43:48,040
Speaker 1: think it is worth, though, revisiting before we all get

895
00:43:48,080 --> 00:43:50,000
Speaker 1: our hopes up, because I actually did think Vine was cool.

896
00:43:50,080 --> 00:43:52,800
Speaker 1: I personally, I'm just not like a big consumer of

897
00:43:53,040 --> 00:43:56,040
Speaker 1: that type of content, like that type of content, but

898
00:43:56,400 --> 00:43:59,719
Speaker 1: it's worth saying, like, Okay, what went wrong here? Let's

899
00:43:59,719 --> 00:44:02,360
Speaker 1: put this up there. Twitter shuttered the company in twenty

900
00:44:02,400 --> 00:44:05,440
Speaker 1: sixteen after buying it in twenty twelve. The reason why

901
00:44:05,680 --> 00:44:08,400
Speaker 1: is that they decided that short form content like that

902
00:44:08,520 --> 00:44:11,759
Speaker 1: was not the future and get this that periscope and

903
00:44:11,960 --> 00:44:15,520
Speaker 1: live streaming would be with their major bet and video.

904
00:44:15,719 --> 00:44:18,640
Speaker 1: Now I'm not saying periscope is bad, but I think

905
00:44:18,680 --> 00:44:22,239
Speaker 1: we all know how that worked several years ago. There

906
00:44:22,280 --> 00:44:24,400
Speaker 1: is a couple of options though, which is like what

907
00:44:24,560 --> 00:44:27,520
Speaker 1: happened in twenty twelve. Vine was one of the number

908
00:44:27,560 --> 00:44:30,320
Speaker 1: one apps on the iTunes App Store. After only six months,

909
00:44:30,440 --> 00:44:34,120
Speaker 1: they had two hundred million active users. However, this is

910
00:44:34,160 --> 00:44:37,719
Speaker 1: part of the issue. A lot of Vine stars were

911
00:44:37,760 --> 00:44:41,480
Speaker 1: not staying on the platform. What they point to is

912
00:44:41,520 --> 00:44:44,680
Speaker 1: that vine stars were getting big on Vine, but then

913
00:44:44,719 --> 00:44:47,839
Speaker 1: they were going to Instagram, Snapchat and YouTube to make

914
00:44:47,880 --> 00:44:49,279
Speaker 1: it big. And I kind of remember some of the

915
00:44:49,360 --> 00:44:51,640
Speaker 1: Vine creators that I used to follow, and I was like, hmm,

916
00:44:51,960 --> 00:44:54,000
Speaker 1: I wonder why that is. There's a couple of things

917
00:44:54,040 --> 00:44:56,520
Speaker 1: going on, which is that first and foremost, it was

918
00:44:56,560 --> 00:44:59,680
Speaker 1: just really early. Second, that was also the age when

919
00:44:59,760 --> 00:45:03,920
Speaker 1: all these platforms, this is like pre awokening and censorship

920
00:45:03,920 --> 00:45:05,840
Speaker 1: and all that, they were just throwing money at anybody

921
00:45:05,880 --> 00:45:09,040
Speaker 1: who had a big presence. So Instagram was reaching out

922
00:45:09,040 --> 00:45:10,600
Speaker 1: to people on Vine like, hey, why don't you just

923
00:45:10,760 --> 00:45:12,800
Speaker 1: composted here. In a lot of ways, Instagram was a

924
00:45:12,840 --> 00:45:15,000
Speaker 1: straight up copying a lot of content, right, They stole

925
00:45:15,040 --> 00:45:17,040
Speaker 1: staff chat stories, they were made it to the short

926
00:45:17,120 --> 00:45:19,439
Speaker 1: term video we're going to get on there. Vine didn't

927
00:45:19,480 --> 00:45:22,279
Speaker 1: have a particularly unique value add but in a lot

928
00:45:22,280 --> 00:45:24,520
Speaker 1: of ways, given the way that everything has kind of

929
00:45:24,840 --> 00:45:27,320
Speaker 1: you know, Instagram creators, I'm not saying that they don't.

930
00:45:28,000 --> 00:45:30,640
Speaker 1: They're usually most people are like platform first these days,

931
00:45:30,680 --> 00:45:34,040
Speaker 1: there's very few who are like genuinely omni. I think

932
00:45:34,080 --> 00:45:36,640
Speaker 1: that Vine their issue was that they just didn't have

933
00:45:36,640 --> 00:45:39,520
Speaker 1: the recommendation algorithm, Like they had the content down, but

934
00:45:39,560 --> 00:45:42,839
Speaker 1: they didn't have the algorithm of really knowing you. So

935
00:45:43,239 --> 00:45:45,560
Speaker 1: they would have to nail that to become a true

936
00:45:45,840 --> 00:45:48,560
Speaker 1: TikTok competitor. And I think that's the hardest part. Well,

937
00:45:48,600 --> 00:45:51,040
Speaker 1: and then I mean you're just straight up copying TikTok.

938
00:45:51,120 --> 00:45:53,320
Speaker 1: I mean that's the thing is, like we talk about

939
00:45:53,360 --> 00:45:56,000
Speaker 1: all these social media platforms and oh our tech type,

940
00:45:56,200 --> 00:45:58,719
Speaker 1: so these great innovators, I mean, every single one of

941
00:45:58,760 --> 00:46:01,040
Speaker 1: them right now, all they're doing trying to copy TikTok.

942
00:46:01,160 --> 00:46:04,840
Speaker 1: That's the whole thing. Like YouTube shorts and Instagram and Facebook,

943
00:46:05,239 --> 00:46:07,720
Speaker 1: all of them, you know, and Twitter now is like okay,

944
00:46:07,800 --> 00:46:10,520
Speaker 1: let's do our own TikTok version, and I do think

945
00:46:10,560 --> 00:46:14,520
Speaker 1: that it's the thing that made TikTok really work and

946
00:46:14,600 --> 00:46:19,480
Speaker 1: really explode, was that recommendation algorithm. I think with Vine too,

947
00:46:19,640 --> 00:46:21,279
Speaker 1: you know, my understanding at the time is like they

948
00:46:21,280 --> 00:46:23,920
Speaker 1: had trouble monetizing it. That was part of the issue

949
00:46:23,960 --> 00:46:26,799
Speaker 1: as well, and I don't know for creators it may

950
00:46:26,880 --> 00:46:29,480
Speaker 1: not have been. It was apparently not as lucrative as

951
00:46:29,520 --> 00:46:32,200
Speaker 1: other platforms as well, So either that's the thing, you know,

952
00:46:32,200 --> 00:46:33,920
Speaker 1: they got a fake ticktok that is the weird thing,

953
00:46:34,000 --> 00:46:35,719
Speaker 1: don't make a lot of money, right, And I do

954
00:46:35,800 --> 00:46:38,759
Speaker 1: wonder if they would be vulnerable to the same thing ultimately,

955
00:46:38,880 --> 00:46:41,680
Speaker 1: because yeah, I mean we saw in our little dabbling

956
00:46:41,719 --> 00:46:44,160
Speaker 1: on TikTok it's actually not hard to get a lot

957
00:46:44,160 --> 00:46:48,600
Speaker 1: of us because of the recommendation algorithm. But it's only

958
00:46:48,719 --> 00:46:52,480
Speaker 1: the top top stars who get sponsorship deals. In those

959
00:46:52,520 --> 00:46:55,319
Speaker 1: sorts of things, you have to almost go outside of

960
00:46:55,360 --> 00:46:58,560
Speaker 1: the platform in order to monetize whatever content you're creating

961
00:46:58,680 --> 00:47:02,520
Speaker 1: on the platform. So Vine suffers from the Vine would

962
00:47:02,520 --> 00:47:06,000
Speaker 1: suffer from that same issue. So I don't know. I mean, again,

963
00:47:06,080 --> 00:47:07,719
Speaker 1: the way I looked at it was just like, oh,

964
00:47:07,719 --> 00:47:10,800
Speaker 1: how surprising. Twitter is now going to also copy TikTok,

965
00:47:10,960 --> 00:47:13,600
Speaker 1: just like every other social media platform. Ultimately, I'd be

966
00:47:13,600 --> 00:47:15,880
Speaker 1: fine with it if look, I would much rather have

967
00:47:15,920 --> 00:47:17,840
Speaker 1: an American company doing it. That being said, I know

968
00:47:17,880 --> 00:47:20,160
Speaker 1: that there are The problem is you know how this goes,

969
00:47:20,239 --> 00:47:23,840
Speaker 1: like once a thing gets established and that's the place

970
00:47:23,880 --> 00:47:26,839
Speaker 1: that you go for short Like my daughter, who was,

971
00:47:27,160 --> 00:47:29,919
Speaker 1: like I said, my oldest, she was really into Vine

972
00:47:29,920 --> 00:47:31,560
Speaker 1: when she was little. There were some creators on there

973
00:47:31,560 --> 00:47:33,800
Speaker 1: and that were super funny and silly, and she loved

974
00:47:33,840 --> 00:47:37,359
Speaker 1: their content. She watched them all the time. Vine goes away. Well,

975
00:47:37,440 --> 00:47:40,239
Speaker 1: she's a teenager now and she's on TikTok and she's

976
00:47:40,239 --> 00:47:43,399
Speaker 1: happy with TikTok. She finds TikTok, you know, she really

977
00:47:43,480 --> 00:47:46,440
Speaker 1: enjoys it. She gets served content that she finds really hilarious.

978
00:47:46,440 --> 00:47:50,080
Speaker 1: She's always sending me little videos, sending other people little videos.

979
00:47:50,400 --> 00:47:52,400
Speaker 1: I don't see that she has a sense of like,

980
00:47:52,480 --> 00:47:55,719
Speaker 1: oh I should go over here now. So TikTok has

981
00:47:55,760 --> 00:47:59,440
Speaker 1: already established such a large footprint. I think it would

982
00:47:59,440 --> 00:48:02,520
Speaker 1: take something like completely banning it for people to be

983
00:48:02,640 --> 00:48:06,120
Speaker 1: forced to move into another zete. And in India work

984
00:48:06,160 --> 00:48:08,560
Speaker 1: they had competitors within two weeks, and they've got a

985
00:48:08,600 --> 00:48:10,640
Speaker 1: thriving environment. Look, I agree with you. I mean I've

986
00:48:10,640 --> 00:48:12,960
Speaker 1: tried to use Some of the TikTok alternatives are terrible.

987
00:48:12,960 --> 00:48:15,640
Speaker 1: I remember there was one like Triller or something like that,

988
00:48:15,920 --> 00:48:18,560
Speaker 1: even reels. I mean, I don't e Again, the format's

989
00:48:18,600 --> 00:48:20,200
Speaker 1: not for me. I know that some people use it,

990
00:48:20,239 --> 00:48:22,880
Speaker 1: but I just don't think it's particularly all that great.

991
00:48:22,960 --> 00:48:24,800
Speaker 1: As I get it from my friends who love TikTok,

992
00:48:24,960 --> 00:48:28,040
Speaker 1: the algorithm is everything. Unless you can replicate that, I

993
00:48:28,040 --> 00:48:30,839
Speaker 1: don't think it's possible. Even if you do replicate that. Again,

994
00:48:30,920 --> 00:48:34,000
Speaker 1: you have to not just make something as good as TikTok.

995
00:48:34,080 --> 00:48:37,080
Speaker 1: You have to give people an actual affirmative reason why

996
00:48:37,120 --> 00:48:40,120
Speaker 1: they would decide to leave this little social media home

997
00:48:40,160 --> 00:48:43,439
Speaker 1: where they're comfortable and happy and go somewhere else. True,

998
00:48:43,520 --> 00:48:45,520
Speaker 1: and it's not clear to me what that proposition would be.

999
00:48:45,560 --> 00:48:47,439
Speaker 1: I mean, we see this with like all the free

1000
00:48:47,480 --> 00:48:51,560
Speaker 1: speech platforms that have popped through social or whatever. Like,

1001
00:48:52,080 --> 00:48:56,560
Speaker 1: people are on social media platforms because that's where everybody is.

1002
00:48:56,600 --> 00:48:59,799
Speaker 1: They get comfortable in a certain ecosystem and you know,

1003
00:49:00,120 --> 00:49:02,759
Speaker 1: understand how it works, and they've got followers, they've got

1004
00:49:02,800 --> 00:49:05,920
Speaker 1: people who they are following, creators that they like and whatever.

1005
00:49:06,320 --> 00:49:10,960
Speaker 1: It takes something really significant to get people to move over.

1006
00:49:11,440 --> 00:49:14,239
Speaker 1: So you know, like I said, I think it takes

1007
00:49:14,280 --> 00:49:17,239
Speaker 1: more than just like sort of copying what TikTok is doing.

1008
00:49:17,360 --> 00:49:19,240
Speaker 1: You got to come up with something that is truly

1009
00:49:19,680 --> 00:49:23,600
Speaker 1: new and different and provide something to your audience base

1010
00:49:23,719 --> 00:49:27,480
Speaker 1: or your user base that doesn't already exist. And I mean,

1011
00:49:27,520 --> 00:49:29,360
Speaker 1: maybe they'll come up with something, but that is certainly

1012
00:49:29,400 --> 00:49:31,480
Speaker 1: not laid down on these bases here. Definitely. All right,

1013
00:49:31,560 --> 00:49:33,040
Speaker 1: let's go and move on to the next part. This

1014
00:49:33,120 --> 00:49:37,160
Speaker 1: is really interesting and potentially earth shattering in terms of

1015
00:49:37,160 --> 00:49:39,520
Speaker 1: its impact on American society. Let's put this up there

1016
00:49:39,560 --> 00:49:42,040
Speaker 1: on the screen. So the Supreme Court, the conservative majority

1017
00:49:42,040 --> 00:49:47,279
Speaker 1: there signaling major skepticism of race conscious college admissions. So

1018
00:49:47,719 --> 00:49:50,440
Speaker 1: what happened yesterday, which is that at issue are these

1019
00:49:50,480 --> 00:49:54,560
Speaker 1: two policies Harvard University and the University of North Carolina

1020
00:49:54,640 --> 00:49:57,880
Speaker 1: that permit their admissions offices to weigh the race of

1021
00:49:58,040 --> 00:50:01,880
Speaker 1: applicants as one of many actors that will help decide

1022
00:50:01,960 --> 00:50:05,040
Speaker 1: who is being accepted depending on the scope of the

1023
00:50:05,080 --> 00:50:07,160
Speaker 1: Court's ruling, and this is important. They could rule in

1024
00:50:07,160 --> 00:50:11,879
Speaker 1: many different ways. The outcome could have impact on workplace

1025
00:50:12,280 --> 00:50:16,400
Speaker 1: and other long standing quote anti discrimination law. And I

1026
00:50:16,400 --> 00:50:18,880
Speaker 1: want to be very clear, which is that how exactly

1027
00:50:18,920 --> 00:50:21,799
Speaker 1: they rule in the scope through which could restrict it

1028
00:50:22,040 --> 00:50:24,640
Speaker 1: completely two admissions, This is why we're even spending any

1029
00:50:24,680 --> 00:50:27,120
Speaker 1: time covering it, or it could go all the way

1030
00:50:27,120 --> 00:50:30,560
Speaker 1: out into the way that diversity practices work, even at

1031
00:50:30,560 --> 00:50:33,439
Speaker 1: a quote unquote private company anyway. So there were over

1032
00:50:33,480 --> 00:50:36,200
Speaker 1: five hours of arguments. I was even considering doing a monologue,

1033
00:50:36,239 --> 00:50:38,080
Speaker 1: but the arguments weren't wrapping up, and I was like,

1034
00:50:38,120 --> 00:50:39,880
Speaker 1: I can't do it, you know. I was like, I

1035
00:50:39,880 --> 00:50:42,719
Speaker 1: can't do a whole monologue on this until it's actually done.

1036
00:50:42,840 --> 00:50:46,680
Speaker 1: Luckily it ended last night. What we effectively noted is

1037
00:50:46,719 --> 00:50:49,799
Speaker 1: that the conservatives on the bench we're talking about the

1038
00:50:49,800 --> 00:50:52,399
Speaker 1: two thousand and three precedent that does permit the use

1039
00:50:52,440 --> 00:50:55,440
Speaker 1: of racing college admissions that had urged policies should not

1040
00:50:55,480 --> 00:50:57,880
Speaker 1: be in place indefinitely. So what we should remember is

1041
00:50:57,920 --> 00:51:00,719
Speaker 1: that in that two thousand and three case, effectively the

1042
00:51:00,719 --> 00:51:03,880
Speaker 1: court was like, Okay, you can keep in mind race,

1043
00:51:04,280 --> 00:51:07,759
Speaker 1: you cannot use points based admissions. That's just not on

1044
00:51:07,800 --> 00:51:09,799
Speaker 1: the table. But to say that you can't keep it

1045
00:51:09,800 --> 00:51:12,560
Speaker 1: in mind at all, is not going to happen. That said,

1046
00:51:12,920 --> 00:51:15,279
Speaker 1: you do not. You need to come up with a

1047
00:51:15,320 --> 00:51:18,880
Speaker 1: system so that you don't rely on this indefinitely. And

1048
00:51:18,920 --> 00:51:21,160
Speaker 1: what I found really interesting in the court and a

1049
00:51:21,160 --> 00:51:23,680
Speaker 1: lot of the arguments that I was looking at, is

1050
00:51:23,680 --> 00:51:26,680
Speaker 1: that none of the none of the universities, neither Harvard

1051
00:51:27,080 --> 00:51:30,600
Speaker 1: nor the University of North Carolina, could actually spell out

1052
00:51:30,960 --> 00:51:34,120
Speaker 1: a time frame as to when it was going to

1053
00:51:34,120 --> 00:51:37,200
Speaker 1: be appropriate or not, which, yeah, no, go ahead. Kind

1054
00:51:37,200 --> 00:51:40,840
Speaker 1: of fair. No, that's like being like, on this state

1055
00:51:40,960 --> 00:51:44,520
Speaker 1: in twenty thirty two, we will have total racial justice,

1056
00:51:44,880 --> 00:51:47,759
Speaker 1: will have solved racism. So I mean it would it's

1057
00:51:47,800 --> 00:51:49,600
Speaker 1: kind of fair to be like, I don't know, We're

1058
00:51:49,600 --> 00:51:51,960
Speaker 1: not there yet, but hopefully at some point in the

1059
00:51:51,960 --> 00:51:53,799
Speaker 1: future we get to that. I don't even disagree, but

1060
00:51:54,000 --> 00:51:55,279
Speaker 1: I was looking at it and I was like, you know,

1061
00:51:55,440 --> 00:51:58,000
Speaker 1: that just part to me makes the whole idea of

1062
00:51:58,080 --> 00:52:00,360
Speaker 1: the three case, being like, yeah, but it eventually to

1063
00:52:00,440 --> 00:52:03,120
Speaker 1: end just even more patently ridiculous because you'd probably always

1064
00:52:03,120 --> 00:52:05,400
Speaker 1: make an argument so like, okay, so then we should

1065
00:52:05,400 --> 00:52:08,680
Speaker 1: consider it on what is the actual impact. This goes

1066
00:52:08,719 --> 00:52:11,399
Speaker 1: to the Harvard university portion of which we've covered now

1067
00:52:11,440 --> 00:52:14,880
Speaker 1: for several years, which is that Harvard by you know,

1068
00:52:15,320 --> 00:52:18,040
Speaker 1: from the lawsuit and the court rulings and all that

1069
00:52:18,120 --> 00:52:21,799
Speaker 1: have come out, it has been shown repeatedly that it

1070
00:52:21,880 --> 00:52:26,279
Speaker 1: is highly discriminatory against Asian American students by giving them

1071
00:52:26,360 --> 00:52:30,360
Speaker 1: lower scores for quote, personal attrites. I mean, some of

1072
00:52:30,400 --> 00:52:33,319
Speaker 1: the stuff that came out. Yeah, it's outrageous. I don't

1073
00:52:33,320 --> 00:52:36,759
Speaker 1: think there's any denying that, whatever you think of affirmative action,

1074
00:52:36,880 --> 00:52:40,279
Speaker 1: that the current system has discriminated against Asian Americans in

1075
00:52:40,320 --> 00:52:43,000
Speaker 1: a very perverse way. Right, And because they'll be like,

1076
00:52:43,040 --> 00:52:44,920
Speaker 1: well they so, I mean, they literally can show that

1077
00:52:44,960 --> 00:52:46,520
Speaker 1: you can have the same test scores, you can have

1078
00:52:46,520 --> 00:52:49,000
Speaker 1: the same basically attributes on every single thing, and then

1079
00:52:49,040 --> 00:52:52,799
Speaker 1: on the personal section they're getting rated dramatically lower. It's

1080
00:52:52,840 --> 00:52:56,480
Speaker 1: all these very like racist tropes of like doesn't show

1081
00:52:56,600 --> 00:53:01,160
Speaker 1: leaderships not social Yeah, it's like, oh, oh this is bad,

1082
00:53:01,360 --> 00:53:03,759
Speaker 1: this is really bad. Anyway. So the point is is

1083
00:53:03,800 --> 00:53:06,319
Speaker 1: that in that two thousand and three case, they set

1084
00:53:06,320 --> 00:53:09,160
Speaker 1: that twenty four to five year timeline, but they didn't

1085
00:53:09,200 --> 00:53:12,719
Speaker 1: necessarily cap themselves on when race conscious admissions were coming up.

1086
00:53:12,960 --> 00:53:15,440
Speaker 1: This of course would take place twenty twenty two, and

1087
00:53:15,560 --> 00:53:18,799
Speaker 1: is based really on both anti discrimination practices, as in

1088
00:53:18,800 --> 00:53:22,759
Speaker 1: the way that affirmative action is being used against Asian Americans,

1089
00:53:22,960 --> 00:53:26,440
Speaker 1: but also just in general on the idea of race consciousness.

1090
00:53:26,480 --> 00:53:28,640
Speaker 1: And the reason I thought it was important is not

1091
00:53:28,680 --> 00:53:31,360
Speaker 1: only in terms of the scope of in terms of

1092
00:53:31,360 --> 00:53:34,719
Speaker 1: the scope of American society, but really politically, this is

1093
00:53:34,760 --> 00:53:36,759
Speaker 1: one of the big great disconnects. And Chrystal, you did

1094
00:53:36,800 --> 00:53:39,160
Speaker 1: a fantastic monologue on this a while back over at

1095
00:53:39,200 --> 00:53:42,680
Speaker 1: Rising between really elites and the rest of the public.

1096
00:53:42,920 --> 00:53:46,200
Speaker 1: Affirmative action is perhaps one of the most single unpopular

1097
00:53:46,280 --> 00:53:49,799
Speaker 1: positions that exists in the United States. Was defeated in

1098
00:53:49,880 --> 00:53:53,200
Speaker 1: the state of California on a ballot level in twenty

1099
00:53:53,239 --> 00:53:56,160
Speaker 1: twenty and yet you have the Biden administration that went

1100
00:53:56,200 --> 00:53:58,759
Speaker 1: to bat for it, actually at the court, the US

1101
00:53:58,800 --> 00:54:01,480
Speaker 1: Solicitor General saying that was a national security imperative to

1102
00:54:01,560 --> 00:54:04,840
Speaker 1: keep it. Let's take a listen. That truth is vitally

1103
00:54:04,880 --> 00:54:09,000
Speaker 1: important to our nation's military. Our armed forces know from

1104
00:54:09,040 --> 00:54:12,040
Speaker 1: heart experience that when we do not have a diverse

1105
00:54:12,080 --> 00:54:15,520
Speaker 1: officer corp that is broadly reflective of a diverse fighting force,

1106
00:54:16,080 --> 00:54:20,680
Speaker 1: our strength and cohesion and military readiness suffer. So it

1107
00:54:20,760 --> 00:54:25,120
Speaker 1: is a critical national security imperative to attain diversity within

1108
00:54:25,160 --> 00:54:28,600
Speaker 1: the officer core, and at present it's not possible to

1109
00:54:28,680 --> 00:54:32,320
Speaker 1: achieve that diversity without race conscious admissions, including at the

1110
00:54:32,400 --> 00:54:37,439
Speaker 1: nation's service academies. The military experience confirms, with this court

1111
00:54:37,480 --> 00:54:41,719
Speaker 1: recognized and gruter that in a society where race unfortunately

1112
00:54:41,800 --> 00:54:46,840
Speaker 1: still matters in countless ways, achieving diversity can sometimes require

1113
00:54:46,960 --> 00:54:51,160
Speaker 1: conscious acts by our leading educational institutions. So that was

1114
00:54:51,160 --> 00:54:54,200
Speaker 1: the US Listener General, effectively like the chief litigator on

1115
00:54:54,239 --> 00:54:56,040
Speaker 1: behalf of the United States, making it, of course in

1116
00:54:56,080 --> 00:54:58,359
Speaker 1: the purview of what they have, which is the US

1117
00:54:58,400 --> 00:55:00,959
Speaker 1: Service academies. Because as we see said, if it does

1118
00:55:01,000 --> 00:55:03,720
Speaker 1: impact higher education, even at a private university like Harvard,

1119
00:55:03,880 --> 00:55:06,520
Speaker 1: it would of course also apply to the service academies.

1120
00:55:06,640 --> 00:55:09,200
Speaker 1: Let's consider it though, in the public context. Put this

1121
00:55:09,320 --> 00:55:13,200
Speaker 1: up there on the screen. Most Americans actually say that

1122
00:55:13,360 --> 00:55:17,960
Speaker 1: colleges and universities should not consider applicants race in order

1123
00:55:18,000 --> 00:55:22,000
Speaker 1: to further student body diversity in education. So US adult

1124
00:55:22,000 --> 00:55:26,160
Speaker 1: citizens twenty three percent yes, twenty three percent not sure,

1125
00:55:26,480 --> 00:55:30,760
Speaker 1: A majority fifty four percent say no. Even amongst Democrats,

1126
00:55:30,800 --> 00:55:34,080
Speaker 1: Crystal only forty percent say yes, twenty six percent say

1127
00:55:34,160 --> 00:55:38,520
Speaker 1: not sure, thirty four percent say no, Independence seventeen percent yes,

1128
00:55:38,640 --> 00:55:41,920
Speaker 1: twenty eight percent not sure, fifty five percent no. Republicans

1129
00:55:41,960 --> 00:55:44,800
Speaker 1: overwhelming majority say no. I also think it's important to

1130
00:55:44,880 --> 00:55:48,080
Speaker 1: note if you ask Black Americans, only thirty six percent

1131
00:55:48,080 --> 00:55:50,920
Speaker 1: say yes, thirty three percent say not sure, and thirty

1132
00:55:50,920 --> 00:55:54,120
Speaker 1: three percent say no. The same fits with quote unquote

1133
00:55:54,160 --> 00:55:57,640
Speaker 1: Hispanic whatever that means, and then amongst white Americans, sixty

1134
00:55:57,680 --> 00:56:00,319
Speaker 1: percent say yes and sixty four percent. I love to

1135
00:56:00,320 --> 00:56:03,600
Speaker 1: see the class breakdown for the policy. I would love

1136
00:56:03,640 --> 00:56:05,640
Speaker 1: to see the class breakdown. I mean, I have a

1137
00:56:05,640 --> 00:56:08,240
Speaker 1: lot to say about this because I think the reason

1138
00:56:08,360 --> 00:56:11,960
Speaker 1: why it's so unpopular is because it really rubs up

1139
00:56:11,960 --> 00:56:15,080
Speaker 1: against the notion that Americans want to strive for a

1140
00:56:15,120 --> 00:56:18,680
Speaker 1: color blind society, and so there is this real rub there.

1141
00:56:18,880 --> 00:56:21,000
Speaker 1: I mean, the issue that I always have talking about

1142
00:56:21,040 --> 00:56:24,840
Speaker 1: affirmative action and why it's such sort of tricky ground

1143
00:56:24,840 --> 00:56:26,759
Speaker 1: for me personally is I sort of feel like I

1144
00:56:26,800 --> 00:56:30,000
Speaker 1: disagree with everyone on it. There's a lot of presumptions

1145
00:56:30,320 --> 00:56:33,279
Speaker 1: behind the policy and the debate on affirmative action that

1146
00:56:33,320 --> 00:56:35,680
Speaker 1: I just don't accept and don't agree with the whole

1147
00:56:35,760 --> 00:56:40,520
Speaker 1: debate takes as fact the idea that we have a meritocracy,

1148
00:56:40,680 --> 00:56:43,759
Speaker 1: that the meritocracy is generally functioning, that the thing we

1149
00:56:43,760 --> 00:56:47,600
Speaker 1: should be striving for is to perfect that meritocracy rather than,

1150
00:56:47,680 --> 00:56:49,799
Speaker 1: you know, my goal as a leftist, which is to

1151
00:56:49,840 --> 00:56:52,959
Speaker 1: make sure that everyone is able to succeed. I also think,

1152
00:56:53,520 --> 00:56:55,920
Speaker 1: like I said, Asian Americans are getting screwed by this policy.

1153
00:56:55,920 --> 00:56:58,280
Speaker 1: There's just no denying that, and I think that's something

1154
00:56:58,320 --> 00:57:00,879
Speaker 1: that people who are big proponents of the policy really

1155
00:57:00,920 --> 00:57:03,359
Speaker 1: have to gropple with and really have struggled to gropple with.

1156
00:57:03,560 --> 00:57:07,000
Speaker 1: That's number one. Number two, I don't agree with the

1157
00:57:07,160 --> 00:57:09,560
Speaker 1: arguments that are being put forth by the conservatives on

1158
00:57:09,600 --> 00:57:13,400
Speaker 1: the Court, which is basically like mission accomplished, colorblind society done.

1159
00:57:13,520 --> 00:57:16,800
Speaker 1: Don't need this policy anymore, and we shouldn't pretend that

1160
00:57:16,880 --> 00:57:19,120
Speaker 1: the arguments that were being offered on the Court, which

1161
00:57:19,120 --> 00:57:20,520
Speaker 1: is why I don't even spend a lot of time,

1162
00:57:20,560 --> 00:57:22,960
Speaker 1: like I read through the gist of what they were saying.

1163
00:57:23,000 --> 00:57:25,680
Speaker 1: But ultimately, this is an ideological debate. It has very

1164
00:57:25,720 --> 00:57:27,960
Speaker 1: little to do with what their actual interpretation of the

1165
00:57:27,960 --> 00:57:30,760
Speaker 1: Constitution is. The six conservatives on the Court, they don't

1166
00:57:30,800 --> 00:57:32,720
Speaker 1: like affirmative action. They're going to find a way to

1167
00:57:32,720 --> 00:57:35,640
Speaker 1: strike it down, regardless of the arguments that are being

1168
00:57:35,640 --> 00:57:38,520
Speaker 1: made to them and whether they're persuaded on the constitutionality

1169
00:57:38,520 --> 00:57:40,200
Speaker 1: of it or whatever. And the liberals are, you know,

1170
00:57:40,240 --> 00:57:42,120
Speaker 1: on the other side. This is an ideological debate. The

1171
00:57:42,160 --> 00:57:44,360
Speaker 1: Supreme Court as partisan. We should keep all of that

1172
00:57:44,520 --> 00:57:47,800
Speaker 1: in mind as well. So those are some of my thoughts.

1173
00:57:47,800 --> 00:57:49,320
Speaker 1: But the other thing that I always come back to

1174
00:57:49,440 --> 00:57:52,919
Speaker 1: is like, what is your goal? What is your goal

1175
00:57:52,920 --> 00:57:56,920
Speaker 1: with this policy. If the only option on the table

1176
00:57:56,960 --> 00:58:01,160
Speaker 1: for me is let's diversify the elite class, which is

1177
00:58:01,240 --> 00:58:03,880
Speaker 1: what this is, this policy is effective, and you know

1178
00:58:03,920 --> 00:58:06,640
Speaker 1: what I would rather if that is my only option

1179
00:58:07,040 --> 00:58:09,640
Speaker 1: is have a non diverse elite class and I'm just

1180
00:58:09,720 --> 00:58:13,440
Speaker 1: talking about racial diversity here, or have a diverse racially

1181
00:58:13,480 --> 00:58:17,160
Speaker 1: diverse elite class, then I will take the diverse elite class. Okay,

1182
00:58:17,160 --> 00:58:20,200
Speaker 1: if that's my only option on the table. However, if

1183
00:58:20,240 --> 00:58:23,960
Speaker 1: your goal is actually to reduce the racial wealth gap

1184
00:58:24,480 --> 00:58:26,720
Speaker 1: we know from history, which is a goal that I

1185
00:58:26,760 --> 00:58:29,400
Speaker 1: care personally care a lot more about than I care

1186
00:58:29,440 --> 00:58:33,200
Speaker 1: about the you know, technical racial diversity of the elite class,

1187
00:58:33,720 --> 00:58:36,920
Speaker 1: we know from history that this policy does not do

1188
00:58:37,040 --> 00:58:40,200
Speaker 1: that that. In fact, the policies that have been most

1189
00:58:40,200 --> 00:58:44,040
Speaker 1: effective throughout our history to help to close the racial

1190
00:58:44,120 --> 00:58:46,400
Speaker 1: wealth gap, which we still have a very long way

1191
00:58:46,400 --> 00:58:49,840
Speaker 1: to go on, are universal policies that lift the floor

1192
00:58:49,880 --> 00:58:53,360
Speaker 1: for everyone, things like lifting the minimum wage. Think things

1193
00:58:53,400 --> 00:58:58,000
Speaker 1: like making sure that social security and living wage benefits

1194
00:58:58,040 --> 00:59:01,120
Speaker 1: apply to across all job category and we don't carve

1195
00:59:01,160 --> 00:59:05,640
Speaker 1: out the job categories that are disproportionately filled by black

1196
00:59:05,680 --> 00:59:09,040
Speaker 1: and brown people. So if that's your goal, and when

1197
00:59:09,040 --> 00:59:11,600
Speaker 1: you layer on top of that, how much we know

1198
00:59:11,720 --> 00:59:15,840
Speaker 1: this policy is really unpopular. There's also a pragmatism here

1199
00:59:15,920 --> 00:59:18,440
Speaker 1: of like, we shouldn't assume that we can use our

1200
00:59:18,440 --> 00:59:21,960
Speaker 1: political capital to do absolutely everything. We should invest our

1201
00:59:22,000 --> 00:59:24,120
Speaker 1: political capital in the policies that are going to have

1202
00:59:24,200 --> 00:59:27,280
Speaker 1: the largest effect at achieving ultimately our goals. And I

1203
00:59:27,320 --> 00:59:29,600
Speaker 1: think we have one other piece on from David Shore

1204
00:59:29,720 --> 00:59:34,080
Speaker 1: on the last element here that if you track these

1205
00:59:34,080 --> 00:59:36,640
Speaker 1: are like all of the different sort of like democratic

1206
00:59:36,720 --> 00:59:40,720
Speaker 1: aligned policies. Affirmative action is one of the least popular.

1207
00:59:41,080 --> 00:59:45,280
Speaker 1: So again, it has been beneficial primarily for middle and

1208
00:59:45,400 --> 00:59:49,720
Speaker 1: upper middle class minorities to get into college and to

1209
00:59:49,840 --> 00:59:51,840
Speaker 1: ascend into the elite class. I don't think that's a

1210
00:59:51,880 --> 00:59:54,800
Speaker 1: bad thing. I do think diversity is an important value,

1211
00:59:55,120 --> 00:59:57,160
Speaker 1: but it goes back to the question of what are

1212
00:59:57,200 --> 01:00:00,040
Speaker 1: you really trying to accomplish, and what are the the

1213
01:00:00,240 --> 01:00:03,600
Speaker 1: policies that will most help you effectuate that goal that

1214
01:00:03,680 --> 01:00:06,840
Speaker 1: have broad public support. The last thing I will say

1215
01:00:06,880 --> 01:00:09,400
Speaker 1: on this, because I cannot leave this out, is that

1216
01:00:09,520 --> 01:00:12,880
Speaker 1: it is kind of a screwed up world where this

1217
01:00:12,960 --> 01:00:16,120
Speaker 1: gets struck down, but you still have legacy of admissions,

1218
01:00:16,120 --> 01:00:19,320
Speaker 1: oh yeah, which are affirmative action for rich white people actually,

1219
01:00:19,320 --> 01:00:21,840
Speaker 1: and it's like disgraceful that that is something that goes

1220
01:00:21,920 --> 01:00:24,760
Speaker 1: on and is so important, especially at our elite universities.

1221
01:00:24,800 --> 01:00:26,800
Speaker 1: It's actually interesting that this could have an impact on

1222
01:00:26,880 --> 01:00:29,440
Speaker 1: legacy admissions as well. Also, I want to concur with

1223
01:00:29,840 --> 01:00:32,280
Speaker 1: almost everything that you said, and I think one of

1224
01:00:32,280 --> 01:00:34,480
Speaker 1: the most impactful pieces that ever been had on me

1225
01:00:34,880 --> 01:00:37,880
Speaker 1: was written by the socialist Matt Brunig about the racial

1226
01:00:37,880 --> 01:00:39,760
Speaker 1: wealth gap, and I think people should know this. The

1227
01:00:39,840 --> 01:00:41,880
Speaker 1: vast majority of the racial wealth gap in the United

1228
01:00:41,920 --> 01:00:44,760
Speaker 1: States is about the top two death siles of blacks

1229
01:00:44,760 --> 01:00:47,200
Speaker 1: and whites. As in, you know, when everyone's like black

1230
01:00:47,240 --> 01:00:50,800
Speaker 1: wealth and white wealth that's between the top twenty percent

1231
01:00:51,120 --> 01:00:53,240
Speaker 1: in both groups, as in the top twenty percent white

1232
01:00:53,240 --> 01:00:55,400
Speaker 1: people are much richer than the top twenty percent of

1233
01:00:55,520 --> 01:00:58,440
Speaker 1: rich black people. If you look at the median house

1234
01:00:58,680 --> 01:01:02,280
Speaker 1: the median income of white earners and black earners, there

1235
01:01:02,320 --> 01:01:04,280
Speaker 1: is a gap, but it's not even close to what

1236
01:01:04,320 --> 01:01:07,439
Speaker 1: the gap is of what we're looking at, which gets

1237
01:01:07,480 --> 01:01:09,680
Speaker 1: directly to your point, which is that do you want

1238
01:01:09,720 --> 01:01:12,600
Speaker 1: a society where the nasdak remains the same but there

1239
01:01:12,680 --> 01:01:14,680
Speaker 1: is a black person there's on the board of the directors,

1240
01:01:15,120 --> 01:01:18,400
Speaker 1: Or do you want a society where nasdak companies chase

1241
01:01:18,440 --> 01:01:21,960
Speaker 1: policies which are better for their workers and for the

1242
01:01:22,000 --> 01:01:26,040
Speaker 1: media and American and in general. My problem why my

1243
01:01:26,160 --> 01:01:28,480
Speaker 1: politics are the way they are was coming to the

1244
01:01:28,520 --> 01:01:31,040
Speaker 1: Northeast and seeing the way that elite liberals talk about

1245
01:01:31,200 --> 01:01:32,960
Speaker 1: so many of these issues and realize like this is

1246
01:01:32,960 --> 01:01:35,120
Speaker 1: all just a game for all of you, as in,

1247
01:01:35,440 --> 01:01:38,040
Speaker 1: like you want to protect whatever this little slice is

1248
01:01:38,280 --> 01:01:42,440
Speaker 1: and diversify this very small slice of the economy, the elite,

1249
01:01:42,600 --> 01:01:45,680
Speaker 1: the electorate, and not talk about anything that impacts like

1250
01:01:45,720 --> 01:01:47,320
Speaker 1: any of the people I grew up with or even

1251
01:01:47,520 --> 01:01:50,480
Speaker 1: grew up around it's like they're used as ponds, and

1252
01:01:50,520 --> 01:01:52,840
Speaker 1: I think that generally is why I get so annoyed

1253
01:01:52,840 --> 01:01:56,080
Speaker 1: by it and why I like pointing to the political popularity.

1254
01:01:56,120 --> 01:01:58,880
Speaker 1: As you said, if you can't get affirmative action passed

1255
01:01:58,920 --> 01:02:01,480
Speaker 1: on the ballot in calif how are you going to

1256
01:02:01,520 --> 01:02:04,880
Speaker 1: defend it as the national law of the land, or

1257
01:02:04,920 --> 01:02:08,280
Speaker 1: at very least as allowing it in some of our

1258
01:02:08,560 --> 01:02:12,440
Speaker 1: not just major institutions in government, I mean military, for me,

1259
01:02:12,640 --> 01:02:15,360
Speaker 1: all across the work. The polling is not in and

1260
01:02:15,400 --> 01:02:19,320
Speaker 1: of itself determinative. I support other policies that don't pull

1261
01:02:19,520 --> 01:02:21,760
Speaker 1: well because I think they're the right policy and you

1262
01:02:21,800 --> 01:02:24,320
Speaker 1: should be willing to argue for that. But when you

1263
01:02:24,360 --> 01:02:27,840
Speaker 1: couple that with the fact that this really doesn't to

1264
01:02:28,000 --> 01:02:32,000
Speaker 1: me help to deal with what should be the core goal,

1265
01:02:32,040 --> 01:02:34,479
Speaker 1: which is closing the racial wealth gap, and you're really

1266
01:02:34,520 --> 01:02:38,880
Speaker 1: antagonizing a majority of the public with this policy, then

1267
01:02:38,920 --> 01:02:41,240
Speaker 1: it gets to the question of, Okay, is this really

1268
01:02:41,560 --> 01:02:45,960
Speaker 1: ultimately worth it? And I can imagine situations where you know,

1269
01:02:46,080 --> 01:02:49,200
Speaker 1: I'm generally a big supporter of universal policies, as you

1270
01:02:49,200 --> 01:02:52,320
Speaker 1: guys know, medicare for all, living wage, unions for all,

1271
01:02:52,440 --> 01:02:54,479
Speaker 1: like I think those are the best ways, and again

1272
01:02:54,560 --> 01:02:58,360
Speaker 1: the track record bears it out to not only support

1273
01:02:58,360 --> 01:03:02,120
Speaker 1: the entire working class, but specificly those policies are most

1274
01:03:02,120 --> 01:03:06,000
Speaker 1: beneficial for black and brown people who are disproportionately impoverished

1275
01:03:06,000 --> 01:03:08,480
Speaker 1: and in low wage jobs and you know, struggling at

1276
01:03:08,480 --> 01:03:11,080
Speaker 1: that end of the economy. So in general, I think

1277
01:03:11,080 --> 01:03:13,200
Speaker 1: those of US policies. Can I imagine a policy that

1278
01:03:13,200 --> 01:03:15,600
Speaker 1: would be sort of like specific to you know, to

1279
01:03:15,720 --> 01:03:18,400
Speaker 1: racial discriminate one hundred percent? Absolutely, I don't think we

1280
01:03:18,400 --> 01:03:20,600
Speaker 1: should put that off the table whatsoever. But I do

1281
01:03:20,680 --> 01:03:23,920
Speaker 1: want to emphasize again the part of this that you know,

1282
01:03:24,000 --> 01:03:28,680
Speaker 1: I really do chafe at from conservatives is their view

1283
01:03:28,760 --> 01:03:32,640
Speaker 1: is basically like meritocracy already good to go, no racial discrimination,

1284
01:03:32,920 --> 01:03:35,560
Speaker 1: everybody can compete, everybody can make it, so we don't

1285
01:03:35,600 --> 01:03:38,000
Speaker 1: need to do anything about this. And I don't agree

1286
01:03:38,040 --> 01:03:40,760
Speaker 1: with that either. I just think that we can aspire

1287
01:03:40,840 --> 01:03:43,959
Speaker 1: to more than diversifying our elite class. And ultimately, that's

1288
01:03:44,080 --> 01:03:46,320
Speaker 1: you know, the thrust of my politics and where I

1289
01:03:46,400 --> 01:03:50,720
Speaker 1: like to spend my time. All Right, So, guys, the story.

1290
01:03:50,720 --> 01:03:54,840
Speaker 1: You've all been waiting for more updates on that horrific

1291
01:03:55,040 --> 01:03:59,000
Speaker 1: hammer attack on Paul Pelosi. We did have federal charges

1292
01:03:59,160 --> 01:04:01,520
Speaker 1: filed yesterday by the Department of Justice. Let's put this

1293
01:04:01,600 --> 01:04:03,120
Speaker 1: up on the screen, and we got a lot more

1294
01:04:03,120 --> 01:04:06,480
Speaker 1: information because we got information from David Depappy is that

1295
01:04:06,520 --> 01:04:10,720
Speaker 1: how you say his name himself? We have some summarized

1296
01:04:10,760 --> 01:04:15,200
Speaker 1: information from his own interview here. In any case, he

1297
01:04:15,280 --> 01:04:18,560
Speaker 1: was charged with the soul attempted kidnapping. Following breaking and

1298
01:04:18,720 --> 01:04:22,600
Speaker 1: entering of the Pelosi residence. Paul Pelosi described to police

1299
01:04:22,560 --> 01:04:26,120
Speaker 1: he'd been asleep. De Pappy, who we'd never seen before,

1300
01:04:26,360 --> 01:04:29,200
Speaker 1: entered his bedroom and was saying, where's Nancy, looking for

1301
01:04:29,320 --> 01:04:34,200
Speaker 1: Nancy Pelosi. According to the complaint, minutes after the nine

1302
01:04:34,200 --> 01:04:36,720
Speaker 1: to one one call, two police officers respond to the

1303
01:04:36,720 --> 01:04:39,720
Speaker 1: Pelosi residence. They saw Paul Pelosi and to Poppy struggling

1304
01:04:39,760 --> 01:04:42,680
Speaker 1: over a hammer. Officer this is kind of messed up too.

1305
01:04:42,720 --> 01:04:45,600
Speaker 1: Officers told the men to drop the hammer to Pappy,

1306
01:04:45,680 --> 01:04:48,400
Speaker 1: then allegedly gained control of the hammer and swung it,

1307
01:04:48,480 --> 01:04:51,720
Speaker 1: striking Pelosi in the head. So it's kind of horrific

1308
01:04:51,720 --> 01:04:53,360
Speaker 1: that it's actually when the police officers are on the

1309
01:04:53,400 --> 01:04:55,880
Speaker 1: screen on the scene and they're saying drop the hammer,

1310
01:04:56,120 --> 01:04:59,760
Speaker 1: and they're unable to stop the worst of this attack happens.

1311
01:04:59,760 --> 01:05:02,800
Speaker 1: I mean they're there and witness it. Officers immediately restrained

1312
01:05:02,800 --> 01:05:05,320
Speaker 1: to Pappy while Pelosi appeared to be unconscious on the ground.

1313
01:05:05,320 --> 01:05:07,720
Speaker 1: A set forth in the complaint. Once to Pappy was restrained,

1314
01:05:07,960 --> 01:05:11,920
Speaker 1: officers secured roll of tape, white rope, another hammer, a

1315
01:05:11,960 --> 01:05:14,560
Speaker 1: pair of rubber and cloth gloves zip ties from the

1316
01:05:14,600 --> 01:05:17,760
Speaker 1: crime scene, where officers also observed a broken glass door

1317
01:05:17,800 --> 01:05:21,520
Speaker 1: to the back porch, which was apparently how he gained entry.

1318
01:05:21,760 --> 01:05:23,560
Speaker 1: Let's put this next piece up on the screen. So

1319
01:05:23,600 --> 01:05:27,120
Speaker 1: these are some of the details that really go about.

1320
01:05:27,160 --> 01:05:29,760
Speaker 1: You know, yesterday we talked about some of the conspiracies,

1321
01:05:29,800 --> 01:05:32,840
Speaker 1: some of the questions, and the original details of what

1322
01:05:33,000 --> 01:05:36,040
Speaker 1: came out. Well, Topavi himself is doing a lot to

1323
01:05:36,120 --> 01:05:39,520
Speaker 1: dispel some of the conflicting information and some of the

1324
01:05:39,640 --> 01:05:43,640
Speaker 1: erroneous details that were initially reported. So he says he

1325
01:05:43,920 --> 01:05:46,280
Speaker 1: broke into the house through a glass door. It was

1326
01:05:46,320 --> 01:05:48,720
Speaker 1: a difficult task, it required the use of the hammer,

1327
01:05:48,960 --> 01:05:52,200
Speaker 1: he said. Pelosi was in bed appeared surprised by to Pappy.

1328
01:05:52,320 --> 01:05:55,160
Speaker 1: He told Pelosi to wake up. He told Pelosi he

1329
01:05:55,280 --> 01:05:58,560
Speaker 1: was looking for Nancy. Pelosi then responded that she was

1330
01:05:58,600 --> 01:06:01,800
Speaker 1: not present and asked how they could resolve the situation.

1331
01:06:02,240 --> 01:06:05,120
Speaker 1: There's more as well, in terms of a motive, which

1332
01:06:05,160 --> 01:06:07,320
Speaker 1: was another question mark. I mean, he makes it pretty

1333
01:06:07,320 --> 01:06:11,680
Speaker 1: clear he wanted to hold Nancy Pelosi hostage. He wanted

1334
01:06:11,680 --> 01:06:13,840
Speaker 1: to He viewed Nancy as the quote a leader of

1335
01:06:13,880 --> 01:06:16,920
Speaker 1: the pack of lies told by the Democratic Party. His

1336
01:06:17,160 --> 01:06:21,160
Speaker 1: goal was to question Nancy Pelosi. He expected her to

1337
01:06:21,280 --> 01:06:23,880
Speaker 1: not give the answers that he wanted, and then he

1338
01:06:24,000 --> 01:06:26,400
Speaker 1: was going to break her kneecaps. That was the plan,

1339
01:06:26,800 --> 01:06:29,280
Speaker 1: so that she would have to be wheeled into Congress

1340
01:06:29,320 --> 01:06:32,560
Speaker 1: to serve as a message to the other Democrats that

1341
01:06:32,640 --> 01:06:38,400
Speaker 1: he also didn't like and ultimately wanted to target. In addition,

1342
01:06:38,920 --> 01:06:41,360
Speaker 1: there was the question of was there a third person,

1343
01:06:41,480 --> 01:06:44,800
Speaker 1: because there was an initial report to that effect, which

1344
01:06:44,840 --> 01:06:49,240
Speaker 1: had then been retracted to Pappy says directly. They went

1345
01:06:49,240 --> 01:06:51,680
Speaker 1: downstairs to the front door, so himself and Paul Pelosi.

1346
01:06:51,720 --> 01:06:54,680
Speaker 1: Police arrived and knocked on the door, and Paul Pelosi

1347
01:06:54,840 --> 01:06:58,320
Speaker 1: ran over and opened it. Not an unidentified third person.

1348
01:06:58,440 --> 01:07:02,160
Speaker 1: So that is what is being reported here that the

1349
01:07:02,280 --> 01:07:06,439
Speaker 1: assailant himself, alleged assailant himself is telling the authorities. Yeah,

1350
01:07:06,480 --> 01:07:08,840
Speaker 1: I mean it's kind of the definitive word from mister.

1351
01:07:09,200 --> 01:07:11,360
Speaker 1: That's why I actually thought it was worthwhile, because I

1352
01:07:11,400 --> 01:07:13,200
Speaker 1: was like, Okay, well this is from the man himself,

1353
01:07:13,400 --> 01:07:16,360
Speaker 1: like from an interview, like I was looking for nance.

1354
01:07:16,440 --> 01:07:18,640
Speaker 1: I wanted to hold her hostage. That's what the ZIP ties.

1355
01:07:18,920 --> 01:07:21,640
Speaker 1: Here's how I gain entry, Here's who answered the door. No,

1356
01:07:21,760 --> 01:07:23,560
Speaker 1: there was no one else there. I wanted to break

1357
01:07:23,600 --> 01:07:25,919
Speaker 1: her kneecaps. So pretty clear at this The only question

1358
01:07:25,960 --> 01:07:28,880
Speaker 1: I still have is about security, which is that if

1359
01:07:28,920 --> 01:07:32,080
Speaker 1: he says that he went downstairs to the front door

1360
01:07:32,600 --> 01:07:35,360
Speaker 1: broke the slide door open, as I said, I mean,

1361
01:07:35,360 --> 01:07:37,600
Speaker 1: I guess we do. Just have to believe that they

1362
01:07:37,640 --> 01:07:41,160
Speaker 1: had no shatter alarm or anything on their house, which

1363
01:07:41,200 --> 01:07:43,520
Speaker 1: is kind of crazy. Whenever you're in the third in

1364
01:07:43,520 --> 01:07:46,160
Speaker 1: line to the presidency, you're in a six million dollar

1365
01:07:46,320 --> 01:07:48,560
Speaker 1: mansion in one of the most dangerous cities in the

1366
01:07:48,640 --> 01:07:51,480
Speaker 1: United States with high crime. Like again, you know, I

1367
01:07:51,480 --> 01:07:53,440
Speaker 1: don't live in that dangerous as an area, and if

1368
01:07:53,440 --> 01:07:55,480
Speaker 1: you break my window, it's going to call nine on one.

1369
01:07:55,520 --> 01:07:58,360
Speaker 1: So I'm like, I don't really understand how they don't

1370
01:07:58,360 --> 01:08:00,920
Speaker 1: have that policy. Also alleged to Lee, Paul Pelosi was

1371
01:08:00,920 --> 01:08:03,960
Speaker 1: asleep right according to to Pap, whenever he was in

1372
01:08:04,000 --> 01:08:07,080
Speaker 1: his bed. And this is so creepy. Imagine waking up to,

1373
01:08:07,280 --> 01:08:09,960
Speaker 1: oh my god, in your house would lunatic with a hammer.

1374
01:08:10,120 --> 01:08:13,640
Speaker 1: That's a whole other terror discussion of what you should

1375
01:08:13,680 --> 01:08:16,600
Speaker 1: also perhaps have on your bedside table. But anyway, the

1376
01:08:16,640 --> 01:08:20,439
Speaker 1: point being that this was very strange to me in

1377
01:08:20,520 --> 01:08:23,559
Speaker 1: how he was able to get access, and if anything,

1378
01:08:23,880 --> 01:08:26,160
Speaker 1: if you are in any somewhat of a prominent position,

1379
01:08:26,280 --> 01:08:28,439
Speaker 1: or even if you just live in a dangerous area

1380
01:08:28,479 --> 01:08:31,400
Speaker 1: like this is a good reminder to not put yourself

1381
01:08:31,400 --> 01:08:33,799
Speaker 1: in a position where anything like this is even possible.

1382
01:08:34,000 --> 01:08:36,840
Speaker 1: I do think, honestly, I do really think, just like

1383
01:08:36,880 --> 01:08:39,400
Speaker 1: after Gabby Gifford's I think the Capitol Police needs to

1384
01:08:39,400 --> 01:08:41,120
Speaker 1: come out and say what they're going to do for

1385
01:08:41,120 --> 01:08:44,160
Speaker 1: everybody else who's in the line of succession and elsewhere

1386
01:08:44,360 --> 01:08:46,479
Speaker 1: to make sure that this doesn't happen, because I mean,

1387
01:08:46,520 --> 01:08:49,040
Speaker 1: Steve Calise, you know, he can still he's still suffering

1388
01:08:49,080 --> 01:08:52,160
Speaker 1: after he got shot. But it's not just hy Kevin McCarthy, McConnell.

1389
01:08:52,360 --> 01:08:57,559
Speaker 1: Elaine Elsa shows you, like I mean, Pelosi herself has protection,

1390
01:08:58,160 --> 01:09:00,920
Speaker 1: so she had been home. Yeah, there would have been

1391
01:09:00,960 --> 01:09:03,479
Speaker 1: Secret Service protection there. So it shows you, I guess

1392
01:09:03,479 --> 01:09:06,600
Speaker 1: the family members need security as well. I mean, it

1393
01:09:06,680 --> 01:09:08,519
Speaker 1: is a sad state of affairs that we're living in.

1394
01:09:08,600 --> 01:09:11,639
Speaker 1: But this is the reality is you have, you know,

1395
01:09:11,840 --> 01:09:15,639
Speaker 1: a lot of extreme political rhetoric, a lot of extreme

1396
01:09:15,680 --> 01:09:18,880
Speaker 1: conspiracy theories, and then you have people who are you know,

1397
01:09:19,120 --> 01:09:23,080
Speaker 1: mentally unwell who this guy was talking about. He thought

1398
01:09:23,120 --> 01:09:25,400
Speaker 1: he was a patriot, you know, he really thought he

1399
01:09:25,439 --> 01:09:27,280
Speaker 1: was doing the right thing and he was holding the

1400
01:09:27,400 --> 01:09:32,280
Speaker 1: demoing democrats to account. And that's I mean obviously like

1401
01:09:32,640 --> 01:09:38,160
Speaker 1: deranged individual then fueled by this extreme like political rhetoric.

1402
01:09:38,320 --> 01:09:41,599
Speaker 1: And again, just to be clear, my position on this

1403
01:09:41,680 --> 01:09:45,040
Speaker 1: isn't like the liberal position that's why we must have censorship,

1404
01:09:45,080 --> 01:09:47,120
Speaker 1: but that's why we must, you know, I mean, this

1405
01:09:47,200 --> 01:09:49,680
Speaker 1: is this is why and you can never say, like

1406
01:09:49,760 --> 01:09:54,240
Speaker 1: what would have deterred this one particular attacker, but in general,

1407
01:09:54,840 --> 01:09:58,280
Speaker 1: this is why you need to have a functioning democracy

1408
01:09:58,400 --> 01:10:01,160
Speaker 1: where people feel like the our votes and their voices

1409
01:10:01,160 --> 01:10:04,200
Speaker 1: are heard, where they feel like they have an opportunity

1410
01:10:04,280 --> 01:10:07,240
Speaker 1: and a chance for themselves and their family members to succeed,

1411
01:10:07,800 --> 01:10:11,120
Speaker 1: and you know, more specifically to this case, where they're

1412
01:10:11,160 --> 01:10:14,880
Speaker 1: able to get mental health treatment and addiction treatment, and

1413
01:10:15,040 --> 01:10:16,960
Speaker 1: where we don't have, you know, so many people who

1414
01:10:16,960 --> 01:10:21,080
Speaker 1: are walking around with untreated, untreated mental illness, creating to

1415
01:10:21,320 --> 01:10:24,519
Speaker 1: you know, exacerbating chaotics situation. The last wrinkle, let's put

1416
01:10:24,520 --> 01:10:28,040
Speaker 1: this out there on the screen, is apparently mister Depap

1417
01:10:28,520 --> 01:10:32,680
Speaker 1: was a long time US visa overstay and was here illegally,

1418
01:10:32,760 --> 01:10:35,280
Speaker 1: so we got to crack down on those Canadians coming

1419
01:10:35,320 --> 01:10:38,800
Speaker 1: across the border. Saga. I don't disagree with you. I

1420
01:10:38,800 --> 01:10:40,280
Speaker 1: think they should get the hell out of here. It's

1421
01:10:40,280 --> 01:10:42,280
Speaker 1: their probably. If you guys have free healthcare, why don't

1422
01:10:42,280 --> 01:10:45,120
Speaker 1: you like it so much? It's too cold? Maybe that's

1423
01:10:45,120 --> 01:10:47,519
Speaker 1: a whole lot of the northwestern part of Canada. It's not.

1424
01:10:47,760 --> 01:10:50,040
Speaker 1: It's actually very I've only been to be well. I've

1425
01:10:50,040 --> 01:10:53,200
Speaker 1: been to Quebec and the beautiful city by the way,

1426
01:10:53,920 --> 01:10:57,640
Speaker 1: great food except for poutine, just disgusting. B C is

1427
01:10:57,640 --> 01:11:00,760
Speaker 1: actually very beautiful. Calgary I think like to go from

1428
01:11:00,800 --> 01:11:03,960
Speaker 1: what I've heard. That's like my vibe. I've been to Calgary.

1429
01:11:04,680 --> 01:11:07,639
Speaker 1: Calgary is okay. I don't know, my parents be seen more.

1430
01:11:07,960 --> 01:11:12,160
Speaker 1: I went to Banff National Park. That's that's beautiful. You

1431
01:11:12,200 --> 01:11:14,400
Speaker 1: would like that rising Glacier. Everybody was like, oh, if

1432
01:11:14,400 --> 01:11:16,120
Speaker 1: you are right across the border, you know there's they

1433
01:11:16,120 --> 01:11:19,320
Speaker 1: have the Canadian part of claces. Yeah. Banf is amazing,

1434
01:11:20,040 --> 01:11:22,639
Speaker 1: but it is like you said, Glacier was really crowded.

1435
01:11:22,720 --> 01:11:25,120
Speaker 1: I mean, BAF is the same deal. It's like very touristy,

1436
01:11:25,160 --> 01:11:27,160
Speaker 1: which kind of to me takes away from it, but

1437
01:11:27,200 --> 01:11:30,120
Speaker 1: it is. It is definitely beautiful. I'm a Canada fan.

1438
01:11:30,200 --> 01:11:32,400
Speaker 1: I like it. It's all right, it's too cool. My

1439
01:11:32,439 --> 01:11:34,519
Speaker 1: parents my dad got his PhD in Canada, to be clear,

1440
01:11:34,600 --> 01:11:38,960
Speaker 1: like he loved it there, all right, Sager, are you

1441
01:11:39,000 --> 01:11:41,160
Speaker 1: looking at it well? Elon's purchase of Twitter has me

1442
01:11:41,200 --> 01:11:43,080
Speaker 1: thinking a lot about the state of social media and

1443
01:11:43,120 --> 01:11:45,559
Speaker 1: the Internet. I'm in a strange position. I literally owe

1444
01:11:45,560 --> 01:11:48,400
Speaker 1: my entire livelihood to the Internet. Yet I don't think

1445
01:11:48,439 --> 01:11:51,120
Speaker 1: I've ever been less happy with the Internet. My own

1446
01:11:51,160 --> 01:11:53,839
Speaker 1: personal usage is it an all time low? My reliance

1447
01:11:53,880 --> 01:11:55,920
Speaker 1: on it is it an all time high. It's something

1448
01:11:55,920 --> 01:11:58,360
Speaker 1: obviously I and many others need to square with our

1449
01:11:58,400 --> 01:12:01,160
Speaker 1: modern online economy, but it's also one that has asking

1450
01:12:01,160 --> 01:12:03,400
Speaker 1: a lot of big questions. What does a reset might

1451
01:12:03,439 --> 01:12:05,800
Speaker 1: look like? And what are some potential benefits to it.

1452
01:12:06,200 --> 01:12:08,080
Speaker 1: A lot of this is sparked by a discussion Crystal

1453
01:12:08,080 --> 01:12:11,320
Speaker 1: and I had yesterday about verification, with The Verge reporting

1454
01:12:11,360 --> 01:12:13,800
Speaker 1: that Musk is planning to charge twenty dollars a month

1455
01:12:13,800 --> 01:12:17,080
Speaker 1: to verified users who want to remain so on the platform.

1456
01:12:17,280 --> 01:12:20,040
Speaker 1: The theory behind it is a few things. Number one

1457
01:12:20,200 --> 01:12:23,160
Speaker 1: is something Musk has been obsessed with, eliminating bots on

1458
01:12:23,200 --> 01:12:25,800
Speaker 1: the platform and verifying that there's a real person behind

1459
01:12:25,800 --> 01:12:29,400
Speaker 1: the keyboard. Number two, though, seems more interesting, trying to

1460
01:12:29,400 --> 01:12:33,160
Speaker 1: fulfill his initial code of making nearly half of Twitter's

1461
01:12:33,160 --> 01:12:37,320
Speaker 1: revenue come from subscriptions alone. I personally love that idea,

1462
01:12:37,400 --> 01:12:40,519
Speaker 1: especially as co head of a subscription business like Breaking Points.

1463
01:12:40,720 --> 01:12:43,080
Speaker 1: What we know here well is that the more reliant

1464
01:12:43,120 --> 01:12:45,400
Speaker 1: that you are on paying subscribers, the less you are

1465
01:12:45,439 --> 01:12:49,080
Speaker 1: influenced by market trends. We have amazium premium subscribers, So

1466
01:12:49,120 --> 01:12:51,240
Speaker 1: if YouTube sensor is one of our videos, or if

1467
01:12:51,240 --> 01:12:53,759
Speaker 1: they play games with the algorithm, or if Apple Podcast

1468
01:12:53,840 --> 01:12:56,400
Speaker 1: decides tomorrow to take us off, not only will we

1469
01:12:56,439 --> 01:12:59,320
Speaker 1: not starve, but the business would be fine. It's telling.

1470
01:12:59,479 --> 01:13:01,960
Speaker 1: As christ said yesterday that one of the very first

1471
01:13:01,960 --> 01:13:04,720
Speaker 1: things Elon did as CEO of Twitter was post a

1472
01:13:04,800 --> 01:13:08,960
Speaker 1: missive to Twitter advertisers, asking them to remain calm and patient,

1473
01:13:09,160 --> 01:13:12,320
Speaker 1: while also noting that no changes to content moderation were coming.

1474
01:13:12,680 --> 01:13:14,880
Speaker 1: That came after this report from The Wall Street Journal

1475
01:13:14,880 --> 01:13:18,960
Speaker 1: and Business Insider that major advertisers on Twitter were considering

1476
01:13:19,040 --> 01:13:22,679
Speaker 1: pulling all their ads off the platform if Trump's accounts

1477
01:13:22,680 --> 01:13:25,639
Speaker 1: were restored, and it highlights the central conundrum that any

1478
01:13:25,720 --> 01:13:29,480
Speaker 1: ads supported business faces. The users are not the customers,

1479
01:13:29,720 --> 01:13:32,880
Speaker 1: it's the people who actually pay. If the people who

1480
01:13:32,880 --> 01:13:35,680
Speaker 1: pay are united in ideology that is contrary to the

1481
01:13:35,720 --> 01:13:37,680
Speaker 1: benefit of the users or in this case of the

1482
01:13:37,720 --> 01:13:41,639
Speaker 1: American body politic, then that's a structural problem. For context,

1483
01:13:41,720 --> 01:13:46,280
Speaker 1: Twitter is simply not a very good advertising business. Consider this.

1484
01:13:46,560 --> 01:13:49,160
Speaker 1: In twenty twenty one, it earned four point five billion

1485
01:13:49,240 --> 01:13:52,200
Speaker 1: dollars from selling ads on the platform, which represented eighty

1486
01:13:52,280 --> 01:13:55,200
Speaker 1: nine percent of the company's total revenue. Put that up

1487
01:13:55,240 --> 01:13:59,000
Speaker 1: against Facebook or Google, which made a respective one hundred

1488
01:13:59,040 --> 01:14:02,439
Speaker 1: and seventeen billion or two hundred and fifty billion in

1489
01:14:02,479 --> 01:14:05,519
Speaker 1: the same time period. We're talking about a platform which

1490
01:14:05,560 --> 01:14:09,559
Speaker 1: is simply a fraction of that. Or consider its daily users. Twitter,

1491
01:14:09,720 --> 01:14:12,599
Speaker 1: for all of its cultural cachet, has only three hundred

1492
01:14:12,680 --> 01:14:15,680
Speaker 1: million daily active users. That's if you believe them on

1493
01:14:15,720 --> 01:14:18,880
Speaker 1: how many bots are on the platform. Facebook has one

1494
01:14:18,920 --> 01:14:22,840
Speaker 1: point nine billion. Google has even more, with literally eight

1495
01:14:22,920 --> 01:14:26,040
Speaker 1: point five billion searches per day on the platform. We

1496
01:14:26,160 --> 01:14:29,400
Speaker 1: essentially have a situation where Twitter has the same cultural

1497
01:14:29,400 --> 01:14:32,040
Speaker 1: cachet as these giants, but with a fraction of its

1498
01:14:32,120 --> 01:14:34,680
Speaker 1: user base and its revenue. That is why Twitter was

1499
01:14:34,720 --> 01:14:37,280
Speaker 1: losing money. In fact, in only two years of the

1500
01:14:37,280 --> 01:14:40,799
Speaker 1: company history did they aavior make a profit. After those years,

1501
01:14:40,920 --> 01:14:43,240
Speaker 1: Wall Street kept pressing them for growth, and they were

1502
01:14:43,280 --> 01:14:46,800
Speaker 1: totally unable to deliver both on users and by definition

1503
01:14:46,880 --> 01:14:49,640
Speaker 1: of revenue. As much as I believe in Elon as

1504
01:14:49,680 --> 01:14:52,599
Speaker 1: an entrepreneur, I think the fundamental problem is that Twitter

1505
01:14:52,680 --> 01:14:56,400
Speaker 1: is simply not a good business, especially for ads. But

1506
01:14:56,520 --> 01:14:58,920
Speaker 1: clearly it does add value. When you put it up

1507
01:14:58,920 --> 01:15:02,240
Speaker 1: against Facebook or Google, it is arguably even more influential

1508
01:15:02,280 --> 01:15:05,280
Speaker 1: at an elite level. The discussion and the activity which

1509
01:15:05,320 --> 01:15:09,040
Speaker 1: is generated on Twitter potentially impacts hundreds of billions, if

1510
01:15:09,080 --> 01:15:12,519
Speaker 1: not trillions of dollars of our entire economy. The problem

1511
01:15:12,600 --> 01:15:15,240
Speaker 1: is that none of that value is being currently captured

1512
01:15:15,280 --> 01:15:18,120
Speaker 1: by the company. It's dispersed, and so that's why I

1513
01:15:18,120 --> 01:15:20,960
Speaker 1: think charging for verification actually misses the mark. To me,

1514
01:15:21,040 --> 01:15:23,640
Speaker 1: it's quite simple. The value of Twitter is both to

1515
01:15:23,680 --> 01:15:26,879
Speaker 1: the users who can get instantaneous access to information, opinions,

1516
01:15:26,920 --> 01:15:30,880
Speaker 1: and discussions, but also the people who are wielding that influence.

1517
01:15:31,280 --> 01:15:34,280
Speaker 1: It's the latter group, enmeshed in the discourse for lack

1518
01:15:34,320 --> 01:15:37,519
Speaker 1: of a better word, that can't lose that not only

1519
01:15:37,600 --> 01:15:39,519
Speaker 1: is it part of their identity, but it is literally

1520
01:15:39,520 --> 01:15:42,280
Speaker 1: part of their business. So if that's the case, simply

1521
01:15:42,360 --> 01:15:45,040
Speaker 1: charging them for it. This more that I think about it,

1522
01:15:45,080 --> 01:15:47,400
Speaker 1: the more I think that people should be charged per

1523
01:15:47,800 --> 01:15:50,280
Speaker 1: follower account, And to be clear, I actually think it

1524
01:15:50,280 --> 01:15:52,719
Speaker 1: should be free for the vast majority of users. Dollars

1525
01:15:52,720 --> 01:15:54,720
Speaker 1: should not even come into play until you hit like

1526
01:15:54,880 --> 01:15:57,920
Speaker 1: twenty five thousand followers. The exact numbers of users with

1527
01:15:58,000 --> 01:16:01,080
Speaker 1: that many followers is not publicly available, but considering that

1528
01:16:01,120 --> 01:16:03,760
Speaker 1: the average person has only seven hundred followers, we can

1529
01:16:03,800 --> 01:16:06,519
Speaker 1: surmise it's not that many people. But the point is

1530
01:16:06,520 --> 01:16:08,719
Speaker 1: is that those larger accounts, let's take one like mine

1531
01:16:08,720 --> 01:16:11,040
Speaker 1: it has approximately three hundred and seventy eight thousand as

1532
01:16:11,040 --> 01:16:13,559
Speaker 1: of this writing, should have to pay for the ability

1533
01:16:13,600 --> 01:16:16,920
Speaker 1: to engage with the people who follow me. Why Because

1534
01:16:16,960 --> 01:16:19,519
Speaker 1: presumably I am getting more of a value from my

1535
01:16:19,600 --> 01:16:22,840
Speaker 1: ability to communicate with my audience than whatever the prospective

1536
01:16:22,880 --> 01:16:25,400
Speaker 1: fee that Twitter would charge me. And as I said

1537
01:16:25,439 --> 01:16:27,840
Speaker 1: in my original tweet on the subject, the price should

1538
01:16:27,880 --> 01:16:31,599
Speaker 1: be tiered, especially weighted to making major enterprise brands pay

1539
01:16:31,760 --> 01:16:34,720
Speaker 1: a lot of money. Consider this, Right now, people can

1540
01:16:34,760 --> 01:16:37,080
Speaker 1: tweet at American Airlines or some other brand about a

1541
01:16:37,080 --> 01:16:40,800
Speaker 1: problem they're experiencing. That brand can then reply in real time,

1542
01:16:40,880 --> 01:16:43,320
Speaker 1: message them and solve their problem for them via Twitter

1543
01:16:43,400 --> 01:16:46,599
Speaker 1: dm all on the Twitter platform. But at the same time,

1544
01:16:46,800 --> 01:16:49,400
Speaker 1: American Airlines does not have to pay anything to Twitter

1545
01:16:49,479 --> 01:16:52,080
Speaker 1: for that privilege, even though if you were to design

1546
01:16:52,160 --> 01:16:55,040
Speaker 1: a customer service platform, you probably could not create a

1547
01:16:55,080 --> 01:16:57,200
Speaker 1: better one than that, and if you presented it in

1548
01:16:57,240 --> 01:16:59,800
Speaker 1: that way from its inception, of course the companies would

1549
01:16:59,800 --> 01:17:02,200
Speaker 1: pay at a basic level. Consider Christal and I, as

1550
01:17:02,200 --> 01:17:04,240
Speaker 1: a small business, have to pay all kinds of fees

1551
01:17:04,280 --> 01:17:07,360
Speaker 1: to run it, including two Mailchimp to send emails communicate

1552
01:17:07,360 --> 01:17:10,160
Speaker 1: with our customers, Zapier to ensure that our mailing list

1553
01:17:10,200 --> 01:17:13,400
Speaker 1: is operable, podcast hosting platforms to publish our episodes, and

1554
01:17:13,439 --> 01:17:16,240
Speaker 1: many more. All the fees I listed are tiered. The

1555
01:17:16,280 --> 01:17:18,800
Speaker 1: bigger your list or audience, the more that you pay.

1556
01:17:18,960 --> 01:17:21,640
Speaker 1: Presumably the value because you're deriving is more than what

1557
01:17:21,680 --> 01:17:24,400
Speaker 1: you're paying. And finally, is a real question, why do

1558
01:17:24,520 --> 01:17:27,280
Speaker 1: I even care. I'll tell you why, because I was

1559
01:17:27,320 --> 01:17:29,439
Speaker 1: made on Twitter. It's the first place I ever got

1560
01:17:29,439 --> 01:17:31,439
Speaker 1: to engage in discussions and debates when I was a

1561
01:17:31,479 --> 01:17:33,320
Speaker 1: lot younger and I cared a lot about as a

1562
01:17:33,400 --> 01:17:36,000
Speaker 1: junior reporter. It gave me a space to publish my work,

1563
01:17:36,160 --> 01:17:38,720
Speaker 1: to get noticed, to distribute it. There's zero way I'd

1564
01:17:38,720 --> 01:17:41,120
Speaker 1: be here without it. But I want it to both

1565
01:17:41,160 --> 01:17:43,960
Speaker 1: be better and to actually become a viable business, not

1566
01:17:44,000 --> 01:17:47,640
Speaker 1: just a vanity play for Elon Musk. Bringing profitability and

1567
01:17:47,680 --> 01:17:51,360
Speaker 1: aligning incentives properly drive us away from the Internet that

1568
01:17:51,400 --> 01:17:53,880
Speaker 1: we're all living in right now, where we all need it,

1569
01:17:53,960 --> 01:17:55,840
Speaker 1: but we don't really like it. And if you take

1570
01:17:55,840 --> 01:17:58,280
Speaker 1: away anything from this, at least remember this. If you

1571
01:17:58,360 --> 01:18:02,080
Speaker 1: are using something for free online, you are not the customer,

1572
01:18:02,400 --> 01:18:05,040
Speaker 1: You are the product. And Christal, I mean I did

1573
01:18:05,040 --> 01:18:06,720
Speaker 1: this a because I hope it in for it And

1574
01:18:06,760 --> 01:18:09,440
Speaker 1: if you want to hear my reaction to Cyber's monologue,

1575
01:18:09,479 --> 01:18:16,080
Speaker 1: become a premium subscriber today at Breakingpoints dot com. What

1576
01:18:16,160 --> 01:18:17,439
Speaker 1: do you want to take a look at. I know

1577
01:18:17,640 --> 01:18:21,880
Speaker 1: you're all very excited this morning because today is the

1578
01:18:21,920 --> 01:18:25,559
Speaker 1: big debut of CNN's new morning show. It's called CNN

1579
01:18:25,600 --> 01:18:28,200
Speaker 1: This Morning, The Revamp Morning Show under new network boss

1580
01:18:28,280 --> 01:18:32,400
Speaker 1: Chris Laked features hosts Poppy Harlow, Caitlin Collins, and Don Lemon.

1581
01:18:32,880 --> 01:18:34,920
Speaker 1: The show actually seems to be pretty emblematic of the

1582
01:18:34,920 --> 01:18:37,439
Speaker 1: direction that Lickt is taking the network in overall, it

1583
01:18:37,479 --> 01:18:39,920
Speaker 1: represents less of a new vision or a new direction

1584
01:18:40,000 --> 01:18:42,960
Speaker 1: for CNN, more of a shuffling of the chairs. You

1585
01:18:43,080 --> 01:18:45,200
Speaker 1: might say those are deck chairs, you might say they're

1586
01:18:45,240 --> 01:18:48,720
Speaker 1: on the Titanic. As Lickt reveals plan layoffs, cutbacks, and

1587
01:18:48,760 --> 01:18:51,519
Speaker 1: a lack of ambition in new programming, he's really signaling

1588
01:18:51,520 --> 01:18:53,519
Speaker 1: that CNN is not going to try to compete in

1589
01:18:53,520 --> 01:18:56,240
Speaker 1: the new media coord cutting era. Instead, the network is

1590
01:18:56,240 --> 01:18:58,800
Speaker 1: gonna cut costs, hunker down, try to hold on to

1591
01:18:58,920 --> 01:19:00,920
Speaker 1: what they've got for as long as they possibly can.

1592
01:19:01,520 --> 01:19:04,000
Speaker 1: To be honest, might be the best play that they

1593
01:19:04,040 --> 01:19:06,720
Speaker 1: can really make, a managed decline that will keep the

1594
01:19:06,760 --> 01:19:09,960
Speaker 1: network chugging along in diminished form for years to come.

1595
01:19:10,479 --> 01:19:13,000
Speaker 1: So if the future under Jeff Zucker, the previous boss

1596
01:19:13,120 --> 01:19:15,760
Speaker 1: was sort of absurd and ridiculous, under Chris lickt there's

1597
01:19:15,760 --> 01:19:18,680
Speaker 1: a brutal realism that basically there is no future. His

1598
01:19:18,760 --> 01:19:20,920
Speaker 1: breaking points of viewers will recall, Zucker put all his

1599
01:19:20,960 --> 01:19:23,759
Speaker 1: eggs into CNN plus spent more than three hundred million

1600
01:19:23,840 --> 01:19:26,120
Speaker 1: dollars on the Doom streaming effort, believing this would be

1601
01:19:26,240 --> 01:19:29,520
Speaker 1: CNN's big play for the new era. Zucker, too, recognized

1602
01:19:29,560 --> 01:19:31,600
Speaker 1: that the cable news business was a dinosaur with a

1603
01:19:31,640 --> 01:19:34,280
Speaker 1: business model built for a different time, but he believed

1604
01:19:34,360 --> 01:19:37,400
Speaker 1: he could remake it to match the moment. Apparently didn't

1605
01:19:37,439 --> 01:19:40,439
Speaker 1: realize that streaming really only works if you have content

1606
01:19:40,640 --> 01:19:43,960
Speaker 1: and talent that people actually want to pay to consume.

1607
01:19:44,360 --> 01:19:47,439
Speaker 1: You can't just take the same old programming, make it

1608
01:19:47,479 --> 01:19:50,160
Speaker 1: more cringe, and stuff it into a streaming service and

1609
01:19:50,200 --> 01:19:52,080
Speaker 1: think that is going to work out. No, the kids

1610
01:19:52,080 --> 01:19:54,479
Speaker 1: are not going to pay to see more of Chris Wallace.

1611
01:19:55,000 --> 01:19:56,960
Speaker 1: Lake's approach has been to make a few moves that

1612
01:19:57,000 --> 01:20:00,160
Speaker 1: give the appearance of a revitalization while hunkering down for

1613
01:20:00,200 --> 01:20:03,519
Speaker 1: the storm. His first big move was to unceremoniously kill

1614
01:20:03,560 --> 01:20:06,360
Speaker 1: the flashy CNN Plus debacle that zucker had been betting

1615
01:20:06,360 --> 01:20:09,120
Speaker 1: the entire network on. But now we're getting more insight

1616
01:20:09,240 --> 01:20:12,479
Speaker 1: into how specifically Lickt views the business and CNN's future.

1617
01:20:12,720 --> 01:20:15,840
Speaker 1: In an interview with CNBC, Lift was clear that significant

1618
01:20:15,920 --> 01:20:19,559
Speaker 1: layoffs were coming to quote right size the network. Overall,

1619
01:20:19,760 --> 01:20:22,160
Speaker 1: more than a thousand jobs are set to be eliminated

1620
01:20:22,200 --> 01:20:24,439
Speaker 1: at Warner Brothers Discovery before the end of the year.

1621
01:20:24,760 --> 01:20:27,320
Speaker 1: Like the New Morning Show, programming changes have just entailed

1622
01:20:27,320 --> 01:20:30,400
Speaker 1: shuffling existing talent around rather than making any real play

1623
01:20:30,439 --> 01:20:33,320
Speaker 1: for any big new stars. Licht has also announced that

1624
01:20:33,320 --> 01:20:37,200
Speaker 1: the network will cease buying original content and documentaries, so

1625
01:20:37,320 --> 01:20:41,000
Speaker 1: series like Anthony Boordain, Parts Unknown or Kamal Bell's United

1626
01:20:41,040 --> 01:20:44,439
Speaker 1: Chains of America, documentaries like RBG, or the currently running

1627
01:20:44,479 --> 01:20:47,680
Speaker 1: series It's called The Murdoch's Empire of Influence. That's all

1628
01:20:47,760 --> 01:20:50,320
Speaker 1: going away. It's not that the content was unpopular, some

1629
01:20:50,400 --> 01:20:53,280
Speaker 1: of it actually was quite successful. According to Lickt, it's

1630
01:20:53,479 --> 01:20:56,599
Speaker 1: just too expensive for them to continue to acquire. This year,

1631
01:20:56,640 --> 01:20:58,839
Speaker 1: the network is going to earn less than a billion dollars.

1632
01:20:58,920 --> 01:21:00,880
Speaker 1: That's the first time that the hit that mark since

1633
01:21:00,920 --> 01:21:03,240
Speaker 1: the Trump era put it all together, and you get

1634
01:21:03,240 --> 01:21:06,200
Speaker 1: a picture of a business trying to get lean for

1635
01:21:06,400 --> 01:21:09,240
Speaker 1: very hard times, betting on slowing the bleed rather than

1636
01:21:09,280 --> 01:21:12,320
Speaker 1: positioning for new growth plays and new expansion. Now I

1637
01:21:12,320 --> 01:21:14,160
Speaker 1: don't mean to pick on just CNN here. There's just

1638
01:21:14,200 --> 01:21:16,120
Speaker 1: been the most reporting on the future of that network

1639
01:21:16,120 --> 01:21:18,799
Speaker 1: after the turmoil of the Quotmo affair, the abrupt departure

1640
01:21:18,800 --> 01:21:21,160
Speaker 1: of Zucker and so many other things that have happened there.

1641
01:21:21,320 --> 01:21:23,880
Speaker 1: But the truth is all three major cable networks they're

1642
01:21:23,920 --> 01:21:26,639
Speaker 1: facing basically the same landscape. They make money from ad

1643
01:21:26,680 --> 01:21:29,960
Speaker 1: revenue and they make money from cable subscription fees. Both

1644
01:21:29,960 --> 01:21:32,800
Speaker 1: of those items are in decline. Since ratings are down

1645
01:21:32,960 --> 01:21:36,640
Speaker 1: and cord cutters are up. All three networks saw significant

1646
01:21:36,680 --> 01:21:39,120
Speaker 1: drops in viewership in the third quarter. CNN was down

1647
01:21:39,160 --> 01:21:42,400
Speaker 1: seventeen percent year over year, Fox was down thirteen percent,

1648
01:21:42,520 --> 01:21:45,479
Speaker 1: and the SNBC was down eleven percent. This is even

1649
01:21:45,560 --> 01:21:47,880
Speaker 1: more notable given that we are headed into a hotly

1650
01:21:47,920 --> 01:21:51,000
Speaker 1: contested metterum election where the outcome is genuinely uncertain, and

1651
01:21:51,000 --> 01:21:53,600
Speaker 1: where you've certainly got some interesting personalities to work with

1652
01:21:53,640 --> 01:21:56,200
Speaker 1: from a content perspective. When you consider all the candidates

1653
01:21:56,200 --> 01:21:59,760
Speaker 1: who are involved of the three, Fox obviously has the

1654
01:21:59,800 --> 01:22:02,479
Speaker 1: lung or just audience and hence the largest longevity. They

1655
01:22:02,520 --> 01:22:05,080
Speaker 1: benefit from a conservative viewership that thinks they can more

1656
01:22:05,160 --> 01:22:07,280
Speaker 1: or less only get the truth from Fox. We'll see

1657
01:22:07,280 --> 01:22:09,840
Speaker 1: Ann and MSNBC have to compete not only against each other,

1658
01:22:09,880 --> 01:22:12,920
Speaker 1: but also against every other mainstream news network. With Rachel

1659
01:22:12,920 --> 01:22:16,360
Speaker 1: Maddow gone, Fox also now boasts the only remaining cable

1660
01:22:16,400 --> 01:22:18,640
Speaker 1: news host really capable of drawing an audience that's going

1661
01:22:18,720 --> 01:22:21,280
Speaker 1: to show up every night, night after night's appointment viewing.

1662
01:22:21,520 --> 01:22:24,720
Speaker 1: That's Tucker Carlson. Of course, it's telling that MSNBC, on

1663
01:22:24,800 --> 01:22:27,960
Speaker 1: its own path of diminished relevance and managed declinb did

1664
01:22:27,960 --> 01:22:29,920
Speaker 1: not even try to fill that out shoes with someone

1665
01:22:29,920 --> 01:22:32,200
Speaker 1: who had a prayer of matching her ratings. Because in

1666
01:22:32,240 --> 01:22:35,799
Speaker 1: this era, anyone who could actually accomplish such an impressive

1667
01:22:35,800 --> 01:22:37,600
Speaker 1: fee may be a fool to do it for a

1668
01:22:37,640 --> 01:22:40,559
Speaker 1: cable news network rather than to do it for themselves. Today,

1669
01:22:40,640 --> 01:22:43,120
Speaker 1: if you can actually draw an audience, you don't need

1670
01:22:43,160 --> 01:22:46,280
Speaker 1: to deal with the nightmare of network bureaucracy, the creativity

1671
01:22:46,320 --> 01:22:50,000
Speaker 1: stifling dictates, the latent censorship and the whims of corporate bosses.

1672
01:22:50,360 --> 01:22:53,000
Speaker 1: You can be successful, you can have relevance, and best

1673
01:22:53,040 --> 01:22:55,719
Speaker 1: of all, you can have freedom all on your own.

1674
01:22:56,080 --> 01:22:59,679
Speaker 1: That means increasingly the only talent left at these outlets

1675
01:22:59,800 --> 01:23:01,720
Speaker 1: is a the sort that is skilled at climbing the

1676
01:23:01,760 --> 01:23:04,519
Speaker 1: ladder within a large biography and playing the inside game

1677
01:23:04,520 --> 01:23:07,720
Speaker 1: of networking and access, but doesn't have a prayer of

1678
01:23:07,760 --> 01:23:10,880
Speaker 1: generating an audience all on their own. They can only

1679
01:23:10,920 --> 01:23:13,320
Speaker 1: get eyeballs thanks to the muscle memory of boomers who

1680
01:23:13,320 --> 01:23:15,280
Speaker 1: have cable news blaring in the background as they go

1681
01:23:15,320 --> 01:23:18,719
Speaker 1: about their days. Now, in fairness, the number of boomer

1682
01:23:18,760 --> 01:23:22,519
Speaker 1: eyeballs about to increase dramatically as we hurtle into the

1683
01:23:22,520 --> 01:23:25,840
Speaker 1: next Trump era. He's likely to announce his presidential run

1684
01:23:25,880 --> 01:23:28,960
Speaker 1: fairly quickly after the midterms. But does Orange Man obsession

1685
01:23:29,240 --> 01:23:31,280
Speaker 1: really pack the same ratings punch that it used to

1686
01:23:31,560 --> 01:23:34,479
Speaker 1: fact is kind of tired, outrageous, kind of exhausting. Nation

1687
01:23:34,560 --> 01:23:36,879
Speaker 1: has become used to a certain level of ambient chaos,

1688
01:23:36,960 --> 01:23:40,080
Speaker 1: which wears down the novelty of Trump's whole performance. Sequels

1689
01:23:40,080 --> 01:23:41,920
Speaker 1: are never quite as good as the original, and this

1690
01:23:42,040 --> 01:23:45,559
Speaker 1: time around would be Trump's third time, third bite at

1691
01:23:45,560 --> 01:23:47,920
Speaker 1: the apple of running for president. Now, I don't doubt

1692
01:23:47,920 --> 01:23:50,120
Speaker 1: it's going to offer all three networks of temporary reprieve

1693
01:23:50,200 --> 01:23:52,720
Speaker 1: from their long term trajectory of decline. It's also going

1694
01:23:52,800 --> 01:23:56,160
Speaker 1: to make mincemeat of Chryslick's efforts to shift CNN away

1695
01:23:56,200 --> 01:23:58,880
Speaker 1: from all Trump, all the time coverage, as ratings, ego,

1696
01:23:58,880 --> 01:24:01,439
Speaker 1: and audience expectation push CNN right back to the same

1697
01:24:01,520 --> 01:24:03,880
Speaker 1: formula that they've been using since Trump came on the

1698
01:24:03,880 --> 01:24:07,320
Speaker 1: scene back in twenty fifteen. But even a figure as

1699
01:24:07,360 --> 01:24:10,640
Speaker 1: singular as Trump cannot permanently rescue an industry where the

1700
01:24:10,640 --> 01:24:13,120
Speaker 1: business model was built in different era and they are

1701
01:24:13,200 --> 01:24:16,920
Speaker 1: unequipped to navigate the new landscape. The reality is we

1702
01:24:17,000 --> 01:24:19,720
Speaker 1: are already well past the peak of the cable news era,

1703
01:24:19,920 --> 01:24:22,080
Speaker 1: but making no mistake about it, the remnants will hang

1704
01:24:22,080 --> 01:24:24,639
Speaker 1: on in relevance elite power for a very long time,

1705
01:24:24,920 --> 01:24:29,479
Speaker 1: zombies with continued destructive power. After all, elites love feeling

1706
01:24:29,680 --> 01:24:32,080
Speaker 1: like their own cable news appearances are a sign of

1707
01:24:32,080 --> 01:24:34,679
Speaker 1: their importance and their special status. But if you follow

1708
01:24:34,720 --> 01:24:38,120
Speaker 1: the business decisions, you can see they have already accepted

1709
01:24:38,160 --> 01:24:41,800
Speaker 1: their fate as diminished players. CNN's layoffs and cutbacks are

1710
01:24:41,800 --> 01:24:44,080
Speaker 1: really just the beginning, and you see this most clearly

1711
01:24:44,160 --> 01:24:46,519
Speaker 1: see an MSNBC and if you want to hear my

1712
01:24:46,680 --> 01:24:50,040
Speaker 1: reaction to Crystal's monologue, become a premium subscriber today at

1713
01:24:50,040 --> 01:24:56,040
Speaker 1: Breakingpoints dot com. Joining us now is doctor Vine Persov.

1714
01:24:56,040 --> 01:24:59,360
Speaker 1: He's a professor at the University of California at San Francisco,

1715
01:24:59,439 --> 01:25:02,040
Speaker 1: author of Fantastic Substack, of which we'll have a link

1716
01:25:02,200 --> 01:25:04,439
Speaker 1: down in description. Doctor Pisad, thank you so much for

1717
01:25:04,520 --> 01:25:07,000
Speaker 1: joining us. We really appreciate it. Great to be back

1718
01:25:07,000 --> 01:25:09,200
Speaker 1: on the show. Yeah. Absolutely, let's go and put this

1719
01:25:09,280 --> 01:25:11,160
Speaker 1: up there on the screen. You talked about Biden's by

1720
01:25:11,240 --> 01:25:15,799
Speaker 1: valent booster blunder. Look at that alliteration there. Fantastic maze

1721
01:25:15,840 --> 01:25:18,040
Speaker 1: that I was able to say quickly. I quoted heavily

1722
01:25:18,080 --> 01:25:21,200
Speaker 1: from your sensible magazine piece and many of the other

1723
01:25:21,280 --> 01:25:23,640
Speaker 1: curated thoughts that you guys have. But we wanted to

1724
01:25:23,680 --> 01:25:25,559
Speaker 1: have you on just to break it down as a doctor,

1725
01:25:25,720 --> 01:25:29,520
Speaker 1: as an MPH somebody deeply involved in the field and epidemiology.

1726
01:25:29,800 --> 01:25:31,479
Speaker 1: What do you think that the problem with the current

1727
01:25:31,520 --> 01:25:35,600
Speaker 1: administration's policy on the bi avalent booster and omicron vaccine

1728
01:25:35,640 --> 01:25:40,160
Speaker 1: is for all Americans? Yeah, so I think that the

1729
01:25:40,160 --> 01:25:44,920
Speaker 1: Biden administration has decided almost unilaterally to set what the

1730
01:25:45,000 --> 01:25:48,559
Speaker 1: regulatory standard would be for a yearly vaccine. It's not

1731
01:25:48,640 --> 01:25:51,240
Speaker 1: just about this year, it's about year after year after year.

1732
01:25:51,520 --> 01:25:54,240
Speaker 1: And what they decided was that we are going to

1733
01:25:54,280 --> 01:25:56,840
Speaker 1: adopt a model that's a little bit like the flu model,

1734
01:25:57,160 --> 01:25:59,519
Speaker 1: where we're going to see if the vaccine can generate

1735
01:25:59,560 --> 01:26:03,240
Speaker 1: anti against a sequence that we want to hit in mice.

1736
01:26:03,600 --> 01:26:05,799
Speaker 1: And so this vaccine did come to the US market

1737
01:26:05,920 --> 01:26:08,439
Speaker 1: being tested an eight mice for Advisor and ten mice

1738
01:26:08,479 --> 01:26:11,719
Speaker 1: for MODERNA, and no human beings received the vaccine before

1739
01:26:11,720 --> 01:26:13,800
Speaker 1: it came to the market. Part of the reason they

1740
01:26:13,800 --> 01:26:16,000
Speaker 1: did that was they said that there is an important rush.

1741
01:26:16,040 --> 01:26:17,519
Speaker 1: We got to get it out there. We want to

1742
01:26:17,520 --> 01:26:19,559
Speaker 1: get ahead of the season. But one of the things

1743
01:26:19,560 --> 01:26:22,519
Speaker 1: that has emerged is that very few people actually want

1744
01:26:22,520 --> 01:26:25,559
Speaker 1: this vaccine. It's got a usage of about seven percent

1745
01:26:25,680 --> 01:26:28,280
Speaker 1: right now. And so in my mind that kind of

1746
01:26:28,600 --> 01:26:30,720
Speaker 1: there's a tension in that argument, which is that if

1747
01:26:30,720 --> 01:26:33,280
Speaker 1: it was so important to get presumably people would have

1748
01:26:33,280 --> 01:26:35,240
Speaker 1: wanted to get it. But people don't want to get it,

1749
01:26:35,280 --> 01:26:38,120
Speaker 1: so presumably they want to see some better evidence. And

1750
01:26:38,200 --> 01:26:41,120
Speaker 1: then I think that unlike other nations, Europe has also

1751
01:26:41,160 --> 01:26:43,880
Speaker 1: moved forward with bivalent vaccines, but our nation is one

1752
01:26:43,880 --> 01:26:47,240
Speaker 1: of the few nations globally that is pursuing the same strategy,

1753
01:26:47,280 --> 01:26:49,559
Speaker 1: and a seven year old as a seventy seven year old.

1754
01:26:49,840 --> 01:26:51,800
Speaker 1: In Europe they are targeting it for a fifty year

1755
01:26:51,840 --> 01:26:54,679
Speaker 1: old and above, or another nation sixty five and above.

1756
01:26:55,160 --> 01:26:57,840
Speaker 1: So we are also going after very young people. And

1757
01:26:57,920 --> 01:27:00,920
Speaker 1: this has naturally, I think, led to mandate and colleges

1758
01:27:01,160 --> 01:27:05,160
Speaker 1: places like Yale University Wellesley they are mandating the buive

1759
01:27:05,160 --> 01:27:08,439
Speaker 1: ailin booster for their ultra low risk twenty year old population.

1760
01:27:09,160 --> 01:27:11,040
Speaker 1: Can you talk a little bit more about this eight

1761
01:27:11,120 --> 01:27:14,680
Speaker 1: mouse situation, because you hear that and you're like, that

1762
01:27:14,800 --> 01:27:18,000
Speaker 1: sounds crazy, like no human trials and only eight That

1763
01:27:18,040 --> 01:27:21,559
Speaker 1: doesn't seem sufficient. But as you indicated, this is similar

1764
01:27:21,600 --> 01:27:25,320
Speaker 1: to what they typically do with updating the flu vaccines, right,

1765
01:27:25,400 --> 01:27:28,559
Speaker 1: So why do you think it might be appropriate for

1766
01:27:28,760 --> 01:27:31,760
Speaker 1: a flu vaccine but may not be appropriate for the

1767
01:27:31,840 --> 01:27:36,720
Speaker 1: updating of the COVID vaccine. Well, you know, as I

1768
01:27:36,760 --> 01:27:38,320
Speaker 1: have been talking about this issue, one of the things

1769
01:27:38,360 --> 01:27:40,400
Speaker 1: I think is that actually, when it comes to flu,

1770
01:27:40,640 --> 01:27:42,479
Speaker 1: we might be able to do a better job. I mean,

1771
01:27:42,479 --> 01:27:45,120
Speaker 1: we're locked into a model we've been doing for twenty

1772
01:27:45,240 --> 01:27:48,040
Speaker 1: thirty forty years now, we might be able to actually

1773
01:27:48,080 --> 01:27:50,720
Speaker 1: generate better evidence for the flu. As you know, each

1774
01:27:50,800 --> 01:27:53,479
Speaker 1: year the flu shot can either be a close match

1775
01:27:53,760 --> 01:27:55,639
Speaker 1: or it can be a divergent match, in which case

1776
01:27:55,640 --> 01:27:58,719
Speaker 1: it has limited effectiveness. That's why some seasons it seems

1777
01:27:58,720 --> 01:28:00,800
Speaker 1: like it doesn't do much at all. We could actually

1778
01:28:00,800 --> 01:28:03,640
Speaker 1: try to improve that process and have it be more reliable.

1779
01:28:05,240 --> 01:28:06,840
Speaker 1: But when it comes to the COVID vaccine, I do

1780
01:28:06,880 --> 01:28:09,840
Speaker 1: think there are some salient differences with flu. What we

1781
01:28:09,880 --> 01:28:12,000
Speaker 1: do is we look over in the eastern hemisphere of

1782
01:28:12,000 --> 01:28:14,080
Speaker 1: the world and we try in the southern hemisphere. We

1783
01:28:14,080 --> 01:28:16,240
Speaker 1: try to predict what strains are going to hit the

1784
01:28:16,320 --> 01:28:18,760
Speaker 1: United States this winter that have not yet come to

1785
01:28:18,840 --> 01:28:22,240
Speaker 1: this country. With the COVID nineteen vaccine, they are going

1786
01:28:22,360 --> 01:28:25,559
Speaker 1: back in time to a BA four or five parent strain.

1787
01:28:25,840 --> 01:28:27,960
Speaker 1: Right now we're dealing mostly with BA five, but they

1788
01:28:27,960 --> 01:28:30,360
Speaker 1: are even new variants yet to come, and they're creating

1789
01:28:30,439 --> 01:28:33,759
Speaker 1: the vaccine against an older virus that's already been circulating

1790
01:28:33,760 --> 01:28:35,559
Speaker 1: in the United States. So I think it's a little

1791
01:28:35,560 --> 01:28:38,760
Speaker 1: bit different than than the flu shot. The other differences

1792
01:28:38,800 --> 01:28:42,479
Speaker 1: I see are that when it comes to the COVID

1793
01:28:42,560 --> 01:28:45,960
Speaker 1: nineteen shot, I think we'll all agree it's more reactogenic,

1794
01:28:45,960 --> 01:28:48,000
Speaker 1: people have more side effects, people are more likely to

1795
01:28:48,000 --> 01:28:49,800
Speaker 1: be out for a day or so. It's not a

1796
01:28:49,800 --> 01:28:52,479
Speaker 1: big deal, but it is more in that direction. And

1797
01:28:52,520 --> 01:28:54,680
Speaker 1: I think when it comes to the COVID vaccine, what

1798
01:28:54,720 --> 01:28:57,599
Speaker 1: we really want to know is does each additional dose

1799
01:28:57,800 --> 01:29:01,280
Speaker 1: lower your risk of severe disease or hospitlezation. I think

1800
01:29:01,280 --> 01:29:04,280
Speaker 1: it's abundantly clear that no matter how many doses you get,

1801
01:29:04,640 --> 01:29:07,519
Speaker 1: you are going to get some COVID nineteen. The question

1802
01:29:07,640 --> 01:29:09,000
Speaker 1: is is it going to be so bad you end

1803
01:29:09,080 --> 01:29:11,000
Speaker 1: up in the hospital, which we don't want, But if

1804
01:29:11,000 --> 01:29:13,080
Speaker 1: it's going to be like a cold, unfortunately, I think

1805
01:29:13,080 --> 01:29:14,960
Speaker 1: we're gonna have to live with that. And proof of

1806
01:29:14,960 --> 01:29:17,320
Speaker 1: that is Rochelle we Linsky herself got the shot. One

1807
01:29:17,320 --> 01:29:19,920
Speaker 1: month later, she's got COVID nineteen. So do you have

1808
01:29:20,000 --> 01:29:24,479
Speaker 1: more of like do you have a increased safety concern

1809
01:29:24,720 --> 01:29:28,040
Speaker 1: because of the limited nature of these trials or is

1810
01:29:28,080 --> 01:29:31,599
Speaker 1: your concern more around just the efficacy and how much

1811
01:29:31,640 --> 01:29:33,880
Speaker 1: sense does it really make to be having the same

1812
01:29:33,880 --> 01:29:36,160
Speaker 1: policy for seven year old as a seventy year old.

1813
01:29:36,200 --> 01:29:39,360
Speaker 1: As you said, yeah, I have a little bit concern

1814
01:29:39,400 --> 01:29:42,040
Speaker 1: in both domains. But let's talk about the safety. The safety.

1815
01:29:42,040 --> 01:29:45,360
Speaker 1: The biggest safety concern, of course is myocarditis. It's mostly

1816
01:29:45,400 --> 01:29:49,600
Speaker 1: men sixteen to forty and mostly men, you know, eighteen

1817
01:29:49,800 --> 01:29:53,120
Speaker 1: to twenty six. That's the highest risk demographic. And everything

1818
01:29:53,160 --> 01:29:56,360
Speaker 1: we see suggests there's no floor to myocarditis. It's not

1819
01:29:56,479 --> 01:29:58,800
Speaker 1: like after so many dos as it goes to zero.

1820
01:29:59,439 --> 01:30:01,880
Speaker 1: The third do is about one in ten thousand risks,

1821
01:30:01,880 --> 01:30:04,759
Speaker 1: which is very low, but one in ten thousand starts

1822
01:30:04,760 --> 01:30:07,479
Speaker 1: to matter when the risk of hospitalization is in that

1823
01:30:07,560 --> 01:30:09,920
Speaker 1: ballpark or maybe less frequent. For say a twenty year

1824
01:30:09,920 --> 01:30:12,400
Speaker 1: old man who's already gotten three doses. I mean, their

1825
01:30:12,479 --> 01:30:14,519
Speaker 1: risk of hospitalization is going to be really really low

1826
01:30:14,680 --> 01:30:18,040
Speaker 1: from ever getting COVID. But let's talk about efficacy. I

1827
01:30:18,040 --> 01:30:21,160
Speaker 1: think it is really important for both this vaccine and

1828
01:30:21,160 --> 01:30:25,000
Speaker 1: other vaccines that when they launch a campaign to vaccinate

1829
01:30:25,160 --> 01:30:27,680
Speaker 1: millions of people, they have some idea about what the

1830
01:30:27,760 --> 01:30:30,680
Speaker 1: vaccine efficacy is, some number. To do that, you have

1831
01:30:30,720 --> 01:30:32,960
Speaker 1: to give it to human beings and follow them out. Now,

1832
01:30:32,960 --> 01:30:35,800
Speaker 1: why does that matter? If the vaccine efficacy comes back

1833
01:30:35,920 --> 01:30:39,280
Speaker 1: really really low, I think it's going to be very

1834
01:30:39,320 --> 01:30:41,559
Speaker 1: concerning for the American people, people going to feel like

1835
01:30:41,600 --> 01:30:44,200
Speaker 1: they were cheated a little bit. One clue that it

1836
01:30:44,240 --> 01:30:46,960
Speaker 1: might be very low is that people who have gotten

1837
01:30:46,960 --> 01:30:50,639
Speaker 1: the vaccine are very quickly getting COVID nineteen. Another clue

1838
01:30:50,760 --> 01:30:53,160
Speaker 1: are two studies that emerged, I believe, one from Harvard

1839
01:30:53,200 --> 01:30:56,960
Speaker 1: when from Colombia where they administered both the old vaccine

1840
01:30:57,000 --> 01:31:00,360
Speaker 1: and the new vaccine to individuals, and they found that

1841
01:31:00,400 --> 01:31:03,480
Speaker 1: they have the same level of BA five antibody, suggesting

1842
01:31:03,479 --> 01:31:06,320
Speaker 1: that even though this is a bivalent vaccine, we're not

1843
01:31:06,439 --> 01:31:09,960
Speaker 1: generating anything special against BA five, to which Peter Marx

1844
01:31:10,000 --> 01:31:11,920
Speaker 1: at FDA said, well, that study is just a little

1845
01:31:11,920 --> 01:31:14,240
Speaker 1: too small, to which I said was this is the

1846
01:31:14,280 --> 01:31:16,000
Speaker 1: guy who likes to hang his hat on eight mice,

1847
01:31:16,040 --> 01:31:18,440
Speaker 1: So you know, you got to really have some perspective.

1848
01:31:18,760 --> 01:31:20,240
Speaker 1: And then the last thing I'd say is every time

1849
01:31:20,280 --> 01:31:23,040
Speaker 1: you change the sequence in the virus, it is possible

1850
01:31:23,080 --> 01:31:26,520
Speaker 1: you get less myocartis. It's also possibly get more miocarditis.

1851
01:31:26,600 --> 01:31:28,719
Speaker 1: So I think we have to be open to detecting

1852
01:31:28,720 --> 01:31:30,880
Speaker 1: that safety signal if it were to arise. Right, And

1853
01:31:30,920 --> 01:31:33,040
Speaker 1: so doctor prisas some of the metapoints that you've really

1854
01:31:33,040 --> 01:31:35,280
Speaker 1: convinced me on you know, reading your work, is that

1855
01:31:35,320 --> 01:31:38,240
Speaker 1: this is going to have effects on global vaccination, on

1856
01:31:38,320 --> 01:31:42,640
Speaker 1: American trust, and on vaccines which have far more efficacy

1857
01:31:42,840 --> 01:31:46,400
Speaker 1: science behind them, long standing import to society. Do we

1858
01:31:46,439 --> 01:31:48,920
Speaker 1: see any signals yet in that data? Why are you

1859
01:31:49,080 --> 01:31:52,559
Speaker 1: worried about it as a corruption of like higher institution

1860
01:31:53,120 --> 01:31:57,080
Speaker 1: trust in the medical system. Yeah, so, I guess my

1861
01:31:57,120 --> 01:32:00,600
Speaker 1: bigger concern here is, of course that vaccine nation, the

1862
01:32:00,640 --> 01:32:05,280
Speaker 1: campaigns of vaccination, particularly for measles, mumps, rubella, diphtheria, polio,

1863
01:32:05,600 --> 01:32:09,600
Speaker 1: these are vital and important global public goods, and I

1864
01:32:09,720 --> 01:32:13,479
Speaker 1: do worry that in response to this and maybe other

1865
01:32:13,920 --> 01:32:17,280
Speaker 1: actions around vaccines and COVID vaccines, that we may be

1866
01:32:17,320 --> 01:32:19,760
Speaker 1: sending the wrong message both within the United States and

1867
01:32:19,800 --> 01:32:22,880
Speaker 1: globally and undermining US trust. We can talk a little

1868
01:32:22,880 --> 01:32:24,479
Speaker 1: bit more about US trust in a second, but when

1869
01:32:24,479 --> 01:32:26,519
Speaker 1: it comes to vaccines, we do see a number of

1870
01:32:26,560 --> 01:32:31,479
Speaker 1: surveys showing a greater reluctance to vaccinate children, not just

1871
01:32:31,520 --> 01:32:35,120
Speaker 1: for the COVID nineteen vaccine, but for other vaccines. In

1872
01:32:35,200 --> 01:32:38,639
Speaker 1: my mind, it's inappropriate to equate measles vaccination in children

1873
01:32:38,640 --> 01:32:41,400
Speaker 1: with this vaccination because I think measles is more important.

1874
01:32:41,520 --> 01:32:43,519
Speaker 1: We need to tell people it's more important, so that

1875
01:32:43,720 --> 01:32:45,920
Speaker 1: if people were to choose, let's choose measles, and then

1876
01:32:46,120 --> 01:32:48,200
Speaker 1: you know, we can have the discussion about how important

1877
01:32:48,240 --> 01:32:50,880
Speaker 1: the COVID nineteen vaccine is. When it comes to trust,

1878
01:32:50,960 --> 01:32:53,360
Speaker 1: I think the United States one of the great virtues

1879
01:32:53,400 --> 01:32:56,400
Speaker 1: of this country has been our us FDA has been

1880
01:32:56,439 --> 01:32:59,880
Speaker 1: the premier regulatory agency for forty to fifty years. All

1881
01:33:00,160 --> 01:33:02,760
Speaker 1: the nations of the world look to our FDA, who

1882
01:33:02,800 --> 01:33:06,559
Speaker 1: alone review the clinical study data independently. I think we're

1883
01:33:06,720 --> 01:33:09,160
Speaker 1: losing that trust in a number of ways. Our vaccine

1884
01:33:09,240 --> 01:33:13,439
Speaker 1: regulatory bar is going down, down, down, which ironically favors

1885
01:33:13,479 --> 01:33:16,160
Speaker 1: the companies who are making tens of billions of dollars

1886
01:33:16,160 --> 01:33:18,439
Speaker 1: off these products. But I'm not sure it favors the

1887
01:33:18,479 --> 01:33:21,400
Speaker 1: American people who need information. But our bar for other

1888
01:33:21,439 --> 01:33:23,920
Speaker 1: products is going down. We were talking beforehand about the

1889
01:33:23,960 --> 01:33:26,920
Speaker 1: Alzheimer's drug. We have a lou gehrik strug that's controversial

1890
01:33:26,920 --> 01:33:30,320
Speaker 1: and cancer medicines. The more you lower the regulatory hurdles.

1891
01:33:30,320 --> 01:33:31,880
Speaker 1: By that, I mean you make it easier for the

1892
01:33:31,880 --> 01:33:34,280
Speaker 1: company to get their product in the market. It looks

1893
01:33:34,320 --> 01:33:36,799
Speaker 1: like you're very innovative. I mean, you have lots of innovation,

1894
01:33:37,160 --> 01:33:39,640
Speaker 1: but is that innovation actually making people live longer or

1895
01:33:39,640 --> 01:33:41,840
Speaker 1: live better? And I think that's the question that faces

1896
01:33:41,880 --> 01:33:44,800
Speaker 1: the FDA. So you right in this PC say, the

1897
01:33:45,280 --> 01:33:48,559
Speaker 1: bidenministration's entire vaccine policy seems to be interested in giving

1898
01:33:48,600 --> 01:33:52,400
Speaker 1: Pfizer and Maderna a perpetual market share for a yearly vaccine,

1899
01:33:52,400 --> 01:33:54,320
Speaker 1: but seems to have no interest in generating in credible

1900
01:33:54,400 --> 01:33:57,080
Speaker 1: randomized control trial evidence to inform the public. As such,

1901
01:33:57,360 --> 01:34:02,559
Speaker 1: they fail the American people. So why would they? I mean,

1902
01:34:02,640 --> 01:34:05,599
Speaker 1: maybe it's an obvious question, but is it just political corruption?

1903
01:34:05,800 --> 01:34:08,439
Speaker 1: Like what are the incentives in the system that would

1904
01:34:08,520 --> 01:34:11,120
Speaker 1: lead this or any other administration to care about more

1905
01:34:11,160 --> 01:34:14,599
Speaker 1: about the profitability of big pharma than about the results

1906
01:34:14,600 --> 01:34:17,679
Speaker 1: for the American people. Yeah, I think this is something

1907
01:34:17,720 --> 01:34:19,840
Speaker 1: that you all cover very nicely on your show. I mean,

1908
01:34:19,880 --> 01:34:22,519
Speaker 1: the incentives I think are deeply skewed at the level

1909
01:34:22,560 --> 01:34:24,960
Speaker 1: of the highest levels of government. One incentive is the

1910
01:34:24,960 --> 01:34:28,400
Speaker 1: revolving door incentive, which is that I am not worried

1911
01:34:28,920 --> 01:34:32,759
Speaker 1: that like some people are, that the administration making decisions

1912
01:34:32,800 --> 01:34:35,760
Speaker 1: is currently receiving payments from Visor and Moderna. I think

1913
01:34:35,760 --> 01:34:38,719
Speaker 1: that's very unlikely. But I do think the primary place

1914
01:34:38,760 --> 01:34:41,639
Speaker 1: of employment for people who leave the FDA and people

1915
01:34:41,640 --> 01:34:44,719
Speaker 1: who leave the administration working in healthcare may very well

1916
01:34:44,720 --> 01:34:48,200
Speaker 1: be in the biopharmaceutical sector. I mean the prior commissioner

1917
01:34:48,200 --> 01:34:50,439
Speaker 1: of the FDA, who I like, Scott Gottlieb. He's on

1918
01:34:50,479 --> 01:34:53,599
Speaker 1: the viser board of directors, and we've done a paper

1919
01:34:53,600 --> 01:34:56,400
Speaker 1: on FDA reviewers. Fifty percent of them go to work

1920
01:34:56,439 --> 01:34:59,280
Speaker 1: for can Sult for the biopharmaceutical industry. So I do

1921
01:34:59,360 --> 01:35:02,640
Speaker 1: worry it's difficult to be a strict regulator if you

1922
01:35:02,760 --> 01:35:05,360
Speaker 1: know there's a fifty percent chance that after this job

1923
01:35:05,400 --> 01:35:07,559
Speaker 1: is over, which it might be over quite soon, you're

1924
01:35:07,560 --> 01:35:08,840
Speaker 1: going to be on the other side of the table.

1925
01:35:09,120 --> 01:35:12,360
Speaker 1: And I think that's a structural bias in government. I

1926
01:35:12,400 --> 01:35:17,800
Speaker 1: also think that this administration, they have always wanted vaccines

1927
01:35:17,840 --> 01:35:20,000
Speaker 1: and pacts livid to be the answer. I mean, it's

1928
01:35:20,040 --> 01:35:24,320
Speaker 1: a it's a simple answer. It allows them to feel

1929
01:35:24,360 --> 01:35:27,000
Speaker 1: like they're offering something to the American people, and you know,

1930
01:35:27,040 --> 01:35:31,879
Speaker 1: to some degree that might be a motivating factor. And then, finally,

1931
01:35:31,880 --> 01:35:36,280
Speaker 1: I think that evidence based medicine is something you know.

1932
01:35:36,720 --> 01:35:39,880
Speaker 1: By that I mean having good evidence for making clinical decisions.

1933
01:35:40,040 --> 01:35:43,200
Speaker 1: It's always been under threat in biomedicine. It isn't always greed.

1934
01:35:43,439 --> 01:35:46,680
Speaker 1: It's sometimes true belief, it's sometimes wishful thinking. You know,

1935
01:35:46,760 --> 01:35:50,400
Speaker 1: human beings are wonderful at making ourselves believe, like the

1936
01:35:50,439 --> 01:35:53,920
Speaker 1: next medical breakthrough is going to be a success. What

1937
01:35:54,040 --> 01:35:56,280
Speaker 1: is it? The distinguishing feature of man is the desire

1938
01:35:56,320 --> 01:35:59,200
Speaker 1: to take medicine, So you know, we really do kind

1939
01:35:59,200 --> 01:36:02,280
Speaker 1: of believe in these things. That's a great quote. Yeah,

1940
01:36:02,280 --> 01:36:04,679
Speaker 1: I haven't heard that one before. I what what's your

1941
01:36:05,160 --> 01:36:09,200
Speaker 1: overall structural takeaway from all of this? Is it, like,

1942
01:36:09,800 --> 01:36:13,519
Speaker 1: is there a view for optimism? If anything? I think

1943
01:36:13,600 --> 01:36:16,320
Speaker 1: is good? People like me many others have taken a

1944
01:36:16,360 --> 01:36:20,280
Speaker 1: lot more interest in their overall health and in questioning

1945
01:36:20,560 --> 01:36:23,800
Speaker 1: what exactly these drugs are, what they do, what do

1946
01:36:24,120 --> 01:36:27,439
Speaker 1: they mean whenever they say this Pfizer says, there's a trial, Okay,

1947
01:36:27,439 --> 01:36:30,519
Speaker 1: how many people? What do you think outside of that,

1948
01:36:30,760 --> 01:36:33,640
Speaker 1: is there any takeaways for the general population who just

1949
01:36:33,720 --> 01:36:35,240
Speaker 1: want to be healthier, if they want their cass to

1950
01:36:35,240 --> 01:36:38,840
Speaker 1: be healthier, everybody just wants to be protected. Well, you know,

1951
01:36:38,920 --> 01:36:40,479
Speaker 1: I think you're making a good point, which is that

1952
01:36:40,479 --> 01:36:42,920
Speaker 1: there's a takeaway which is that as it should have

1953
01:36:42,960 --> 01:36:44,559
Speaker 1: always been the case. You know, when you go to

1954
01:36:44,560 --> 01:36:46,919
Speaker 1: see the doctor, you have to be an empowered consumer

1955
01:36:46,960 --> 01:36:50,280
Speaker 1: of health care, which means when the doctor makes a recommendation,

1956
01:36:50,360 --> 01:36:52,040
Speaker 1: you have to always ask the question I always like

1957
01:36:52,120 --> 01:36:54,519
Speaker 1: to tell people to ask, is you know that sounds great,

1958
01:36:54,560 --> 01:36:57,000
Speaker 1: But just for a minute, hypothetically, what if I did nothing?

1959
01:36:57,000 --> 01:36:59,320
Speaker 1: What would happen? And just get the doctor talk about that?

1960
01:36:59,520 --> 01:37:01,840
Speaker 1: Or if you didn't use this treatment, what would be

1961
01:37:01,880 --> 01:37:04,200
Speaker 1: the other treatment? And why would you choose one or

1962
01:37:04,240 --> 01:37:06,439
Speaker 1: the other? What makes you decide? And I think those

1963
01:37:06,520 --> 01:37:08,880
Speaker 1: kind of questions would really empower us a lot in

1964
01:37:08,920 --> 01:37:11,320
Speaker 1: our day to day medical encounters. I think there's a

1965
01:37:11,400 --> 01:37:14,200
Speaker 1: second level of lessons from this is on the Biden

1966
01:37:14,200 --> 01:37:17,599
Speaker 1: administration itself, which is I think that their COVID nineteen

1967
01:37:17,640 --> 01:37:21,520
Speaker 1: policy is both a medical liability and a political liability.

1968
01:37:21,920 --> 01:37:24,320
Speaker 1: And there's nothing about being a Democrat that says you

1969
01:37:24,439 --> 01:37:29,160
Speaker 1: have to be for a vaccine campaign annually in perpetuity

1970
01:37:29,200 --> 01:37:31,320
Speaker 1: in seven year olds based on mouse data. That's not

1971
01:37:31,360 --> 01:37:34,559
Speaker 1: part of the democratic platform. That's the unique policy preference

1972
01:37:34,720 --> 01:37:37,720
Speaker 1: of the particular individuals that they are consulting with. There

1973
01:37:37,720 --> 01:37:40,240
Speaker 1: are other people they could consult with who have divergent views.

1974
01:37:40,400 --> 01:37:43,439
Speaker 1: One is Paul Offitt, who is an expert in vaccine science.

1975
01:37:43,600 --> 01:37:46,439
Speaker 1: Cody Meisner who's at Tufts University. I mean, they're not

1976
01:37:46,520 --> 01:37:49,960
Speaker 1: wedded to this group. And I think that the vaccine

1977
01:37:50,080 --> 01:37:53,519
Speaker 1: rollout around young children, and this bivalent booster does suggest

1978
01:37:53,560 --> 01:37:56,920
Speaker 1: there's a disconnect between their advisors and the American people. Now,

1979
01:37:56,920 --> 01:37:59,360
Speaker 1: why aren't Americans rushing to get this vaccine and why

1980
01:37:59,439 --> 01:38:02,280
Speaker 1: didn't they rush to get their under five year old vaccinated?

1981
01:38:02,479 --> 01:38:05,240
Speaker 1: It's probably because they look at their child who mostly

1982
01:38:05,280 --> 01:38:08,280
Speaker 1: already had COVID or they've mostly just had BA five,

1983
01:38:08,320 --> 01:38:10,479
Speaker 1: and they think to themselves, what's the point. I've gotten

1984
01:38:10,479 --> 01:38:13,040
Speaker 1: three shots, I've had this, I've cleared it. I feel okay,

1985
01:38:13,080 --> 01:38:15,320
Speaker 1: I know what it's like. I don't need this shot.

1986
01:38:15,439 --> 01:38:17,280
Speaker 1: And I want to say that there's actually something to

1987
01:38:17,400 --> 01:38:20,439
Speaker 1: that intuition, because I'm not convinced that the shot it

1988
01:38:20,479 --> 01:38:22,720
Speaker 1: will benefit you, especially if you've gotten three doses and

1989
01:38:22,760 --> 01:38:25,360
Speaker 1: you had COVID. And so the American people are voting

1990
01:38:25,360 --> 01:38:28,320
Speaker 1: with their feet and wisely, and so I think the administration,

1991
01:38:28,760 --> 01:38:31,760
Speaker 1: especially after the election, they may decide that they want

1992
01:38:31,800 --> 01:38:34,679
Speaker 1: to go in a different direction on COVID nineteen policy,

1993
01:38:34,800 --> 01:38:37,920
Speaker 1: something that more Americans have buy into. Well, I would

1994
01:38:37,920 --> 01:38:40,360
Speaker 1: add one to the list, which is, as you, you know,

1995
01:38:40,479 --> 01:38:42,920
Speaker 1: really describe, we've got to close the revolving door, and

1996
01:38:42,960 --> 01:38:45,320
Speaker 1: the revolving door. Shut the revolving door how you want

1997
01:38:45,320 --> 01:38:46,680
Speaker 1: to however you want to say, I get rid of

1998
01:38:46,680 --> 01:38:49,439
Speaker 1: the revolving door. That's the one. Because you know, whether

1999
01:38:49,479 --> 01:38:53,479
Speaker 1: it's this administration the next administration, Republican Democrat. I mean,

2000
01:38:53,520 --> 01:38:55,559
Speaker 1: we see a lot of these problems repeat themselves over

2001
01:38:55,600 --> 01:38:59,040
Speaker 1: and over again because of the endemic corruption in the system.

2002
01:38:59,080 --> 01:39:01,040
Speaker 1: So that has got to end for people to have

2003
01:39:01,040 --> 01:39:04,400
Speaker 1: more trust in these systems. One percent highly recommend. Following

2004
01:39:04,400 --> 01:39:06,519
Speaker 1: doctor Pisad's work, We're going to link down a description

2005
01:39:06,600 --> 01:39:08,360
Speaker 1: to his newsletter. Thank you so much for joining us, sir,

2006
01:39:08,439 --> 01:39:11,559
Speaker 1: great for you. Thank you all so much for watching.

2007
01:39:11,600 --> 01:39:14,599
Speaker 1: We really appreciate it. It's look, we're doing election night planning.

2008
01:39:14,760 --> 01:39:16,320
Speaker 1: We've got some good hires that we're going to be

2009
01:39:16,320 --> 01:39:19,040
Speaker 1: announcing soon here. I think you'll all be very excited

2010
01:39:19,080 --> 01:39:22,840
Speaker 1: all of it because of you, guys of premium subscribers.

2011
01:39:23,080 --> 01:39:24,960
Speaker 1: Never been happier to be able to do this. We've

2012
01:39:24,960 --> 01:39:27,000
Speaker 1: got our election night coverage. It's gonna be exciting. This

2013
01:39:27,040 --> 01:39:30,040
Speaker 1: is our first like real ramp up for an election night.

2014
01:39:30,080 --> 01:39:32,439
Speaker 1: We're gonna have a live stream all of that premium stubs.

2015
01:39:32,439 --> 01:39:34,679
Speaker 1: You guys will get at first DIBs an email about

2016
01:39:34,680 --> 01:39:36,639
Speaker 1: how exactly it's all going to go down. So anyway,

2017
01:39:36,720 --> 01:39:38,759
Speaker 1: linked down and the description. We'll have some great content

2018
01:39:38,800 --> 01:39:41,639
Speaker 1: for you tomorrow and then Friday is also Counterpoints. We'll

2019
01:39:41,640 --> 01:39:43,800
Speaker 1: be here on Thursday as well, so stay tuned. It's

2020
01:39:43,800 --> 01:40:00,760
Speaker 1: gonna be a fun time. See y'all soon. Zo