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Speaker 1: Hey, guys, ready or not, twenty twenty four is here

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Speaker 1: and we here at breaking points, are already thinking of

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Speaker 1: ways we can up our game for this critical election.

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Speaker 2: We rely on our premium subs to expand coverage, upgrade

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Speaker 2: the studio ad staff, give you.

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Speaker 3: Guys, the best independent coverage that is possible.

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Speaker 2: If you like what we're all about, it just means

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Speaker 2: the absolute world to have your support.

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Speaker 3: But enough with that, let's get to the show.

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Speaker 1: Everything.

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Speaker 2: Good morning, everybody, Happy Monday. We have an amazing show

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Speaker 2: for everybody today.

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Speaker 3: What do we have personal?

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Speaker 1: Indeed, we do. We have some big polls on the

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Speaker 1: GOP side of the presdential nominating contest showing kind of

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Speaker 1: a remade race, so we will tell you about that.

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Speaker 1: And these are state specific polls, so very interesting. We

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Speaker 1: also this morning have a brand new Twitter. It's actually

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Speaker 1: no longer to it is now x. The rebranding has begun.

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Speaker 1: We'll tell you everything that means, and also some new

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Speaker 1: numbers about how Threads is doing the major Twitter competitor.

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Speaker 1: Some interesting reporting within the White House about a freak

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Speaker 1: ount over Cornell West campaign with the Green Party, so

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Speaker 1: break that down for you. Sager is going to give

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Speaker 1: you a UFO update some big happenings here in DC

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Speaker 1: this week. We also got to talk about that blockbuster

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Speaker 1: movie weekend, both movies Oppenheimer and Oppenheimer and Barbie pulling

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Speaker 1: in huge numbers. I'm going to do my own review

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Speaker 1: of the Barbie movie, as I did have to wear

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Speaker 1: a pink, you know, for the get into the get

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Speaker 1: into the whole spirit of it, even though I actually

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Speaker 1: despised the entire movie.

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Speaker 3: No, we can't give it away. Give it away.

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Speaker 1: You liked it and I hated it, which is the

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Speaker 1: cooler opposite of what I thought. So anyway, I'll give

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Speaker 1: you all of my analysis of that. But we wanted

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Speaker 1: to start with some breaking news this morning on what

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Speaker 1: is happening in Russia.

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Speaker 2: Yeah, let's go ahead and put this up there on

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Speaker 2: the screen. We've got a little bit of the damage

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Speaker 2: from what happened just four am local time in Moscow, Go.

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Speaker 2: There has been a suspected Ukrainian drone attack actually on

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Speaker 2: the city in the central business district and the Crystal.

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Speaker 2: That suspected drone attack right now allegedly also came with

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Speaker 2: simultaneous strikes inside of Crimea. The images that we have

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Speaker 2: up here show some damage to an office building on.

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Speaker 3: The top two floors.

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Speaker 2: This is directly inside the city and also it fell

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Speaker 2: on an area which is both near the capital center.

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Speaker 2: Quote shattered shop windows, damaged the roof of a house

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Speaker 2: just two hundred meters away from the towering Riverside Defense

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Speaker 2: Ministry building. I'm gonna go ahead and guess of the

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Speaker 2: Defense Ministry was the.

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Speaker 3: Suspected target there.

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Speaker 2: But just the latest in a series of these drone

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Speaker 2: attacks we've seen by the Ukrainian very likely the Ukrainians,

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Speaker 2: on the city of Moscow. I did find it funny

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Speaker 2: if we'll all recall the original drone attack that was

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Speaker 2: on the Kremlin flag. There was a furious denial, like,

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Speaker 2: I can't be Ukraine. Why would Ukraine do this? There's

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Speaker 2: so many reasons why. And then, you know, as always happens,

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Speaker 2: the CIA leaks to the New York Times two weeks later,

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Speaker 2: and there CIA confirms that Ukrainian military was behind said

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Speaker 2: drone attacks, and apparently Biden and the White House was like, hey,

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Speaker 2: maybe cut it out, but don't forget of the news

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Speaker 2: that we've brought everybody. Actually, I believe in our last show,

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Speaker 2: which was on Thursday, about the top Ukrainian military commander saying,

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Speaker 2: who are you the United States to tell us what

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Speaker 2: we can and can't do and who we can and

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Speaker 2: can't strike. I guess to be fair, many of these

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Speaker 2: drones actually are manufactured in Ukraine, So part of their

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Speaker 2: theory here is like, well, it's not us provided aid,

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Speaker 2: so we can do whatever we want. But nonetheless, you know,

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Speaker 2: it's always significant anytime anything is hit in the capital

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Speaker 2: of Russia. And I mean, don't forget you know that

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Speaker 2: hasn't happened in literally decades on the European continent. It

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Speaker 2: still is an extraordinary event. But they are at war,

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Speaker 2: so we can only expect these things to happen as

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Speaker 2: a conflict continues.

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Speaker 1: Yeah, I suppose, so Russia is saying that they destroyed

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Speaker 1: to attack drones. There were several buildings that appear to

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Speaker 1: have been damage, though, some of the damage occurring in

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Speaker 1: one of the sort of ritchiest sections of Moscow, So

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Speaker 1: striking here at the heart of some of the wealthy

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Speaker 1: elite in Moscow. I'm sure the thinking on the Ukrainian side,

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Speaker 1: of course, they have said nothing Russia is attributing blame

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Speaker 1: to them. I mean, that seems certainly like logical explanation,

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Speaker 1: but just to give you the Ukrainian side of things,

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Speaker 1: they haven't said anything yet. I'm sure the thinking here,

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Speaker 1: Sager is to sort of damage public morale among the

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Speaker 1: Russian people in Moscow, potentially among elites, because this isn't

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Speaker 1: significant enough damage to you know, really impact the defense

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Speaker 1: ministry or anything. No one was actually injured in these attacks,

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Speaker 1: just like the attack on the Krumlin didn't cause significant

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Speaker 1: damage and was you know, thwarted fairly easily by Russian

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Speaker 1: authorities there. But you know, what we've seen throughout history

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Speaker 1: is that attacks directly on civilian residential areas, just as

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Speaker 1: we've seen with Russia attacking residential civilian areas in Ukraine,

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Speaker 1: it has the opposite of the intended effect. You know,

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Speaker 1: if the intended effect is to weaken morale, oftentimes it

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Speaker 1: has led to the exact opposite, where people morale is strengthened,

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Speaker 1: they become more committed to the cause, more hawkish, etc.

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Speaker 1: This comes at a time when Russia appears to be

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Speaker 1: prepping some more aggressive you know, domestic strategies and potentially

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Speaker 1: another draft coming sort of floating that as a trial

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Speaker 1: balloon among the domestic population and also, of course comes

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Speaker 1: at a time when even mainstream Western outlets are admitting

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Speaker 1: that the Ukrainian counter offensive is not going particularly well

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Speaker 1: and it's looking very much like a stalemate.

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Speaker 2: Yeah, I think that this is actually better understood in

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Speaker 2: the context of that we're going to do a big

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Speaker 2: thing tomorrow on the state of the counter offensive. How

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Speaker 2: many Western media outlets at this point are all admitting

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Speaker 2: this has been effectively a failure so far. So far,

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Speaker 2: always the big caveat, but that you know, the Ukraine

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Speaker 2: is losing a significant amount of people for every inch

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Speaker 2: of territory that's trying to get back that overall, their weapons,

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Speaker 2: their inability to do combined arms means that we've effectively

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Speaker 2: deteriorated into a World War One style trench conflict, which

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Speaker 2: is going to of course benefit the Russians, which have

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Speaker 2: taken twenty percent of the tear victoria of heart in

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Speaker 2: the defenses. They have the industrial might, whereas Ukraine's own

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Speaker 2: industrial ability to manufacture, especially the weapons that they really

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Speaker 2: say that they need in order to pour into the

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Speaker 2: conflict is basically doesn't exist. And the West is basically saying, look,

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Speaker 2: you know, in terms of the tap like we've got

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Speaker 2: what Congress is appropriated, but that's basically it. So what

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Speaker 2: do you do when you're in that situation. You try

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Speaker 2: and inflict maximum damage on the enemy as possible and

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Speaker 2: to terrorize the enemy and to try and to sue

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Speaker 2: for peace. That falls into striking in you know areas,

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Speaker 2: when you're pinned down in one place, you want to

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Speaker 2: try and attack from somewhere else to try and take

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Speaker 2: the pressure off and to change the strategic situation.

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Speaker 3: So it actually makes.

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Speaker 2: The likelihood of escalation even more, like like even higher,

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Speaker 2: like in Crimeo or on Moscow or anywhere else, because

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Speaker 2: if they were seeing battlefield victory there, then they wouldn't

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Speaker 2: have as much incentive to try and push it somewhere else.

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Speaker 1: Yeah, I mean, you have both Ukraine and Russia in

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Speaker 1: different ways with their backs up against the wall, and

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Speaker 1: desperate actors can take desperate measures. So it is a

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Speaker 1: dangerous situation. No one should delude themselves about that. And

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Speaker 1: you know, we'll continue to follow the situation to make

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Speaker 1: sure we bring you all of the leads. We'll probably

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Speaker 1: cover Ukraine more in depth to Marrows. There are a

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Speaker 1: few stories that are out there that are worth getting into,

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Speaker 1: but we wanted to turn to presidential politics. And by

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Speaker 1: the way, guys, here Breaking Points going to be a

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Speaker 1: big week in terms of presidential politics. We have two

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Speaker 1: GOP contenders booked for interviews tomorrow. Won't say their names

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Speaker 1: because I never know. And yeah, when people can get

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Speaker 1: a little you know, squishy or their schedule changes or whatever,

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Speaker 1: they back out. But as of now, two big interviews tomorrow,

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Speaker 1: so stay tuned for that. And just quick shout out

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Speaker 1: to our premium subscribers who've made all of this possible.

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Speaker 1: I know you guys have really been reacting very positive

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Speaker 1: lead to the interviews we're doing on the Democratic side

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Speaker 1: on the Republican side, So if you can become a

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Speaker 1: premium member and help us continue that project, we really appreciate.

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Speaker 1: At Breakingpoints dot com. All right, let's get to the

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Speaker 1: news in terms of what is happening on the Republican side.

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Speaker 1: Some big state level polls coming out from Fox Business

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Speaker 1: and they show a sort of a changed state of

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Speaker 1: this race. So from the beginning it has been Donald

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Speaker 1: Trump number one, Ron DeSantis number two. That number two

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Speaker 1: two slot is no longer so clear. Put this up

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Speaker 1: on the screen. This is the poll from Iowa again

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Speaker 1: this is a Fox Business poll. You got Trump with

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Speaker 1: a very solid lead there in Iowa. This is the

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Speaker 1: state that you know his would be contenders really have

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Speaker 1: to take away from him. Right now. He sits at

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Speaker 1: forty six percent, so almost at a majority. Desanta is

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Speaker 1: still holding on to that number two slot at sixteen percent,

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Speaker 1: but just barely. Tim Scott there nipping at his heels

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Speaker 1: at eleven percent. You've also got Nicky Haley five percent,

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Speaker 1: Pence four percent, Doug Bergham three percent, Chris Christy three percent,

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Speaker 1: and Asa Hutchinson, who we had the opportunity to interview

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Speaker 1: last week at one percent. So Iowa looking like DeSantis

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Speaker 1: is falling there and struggling even to maintain the number

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Speaker 1: two position. Let's take a look at South Carolina next

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Speaker 1: slide up on the screen. So Trump again up even

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Speaker 1: though you've got two top contenders who are from the

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Speaker 1: state of South Carolina. Trump at forty eight percent, again

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Speaker 1: very close to a majority two slot. Nikki Haley, not

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Speaker 1: Ronda Santis. Haley at fourteen percent. Ronda Santis right there

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Speaker 1: at thirteen percent, that is, you know, statistically tied given

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Speaker 1: the margin of area. You've got Tim Scott at ten percent.

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Speaker 1: And then you drop down to Pence four percent of

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Speaker 1: vivek Ramaswami three percent, Chris Christy two, Asa Hutchinson one.

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Speaker 1: So a lot going on there. Let's go ahead and

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Speaker 1: put this next piece up on the screen. Some of

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Speaker 1: the numbers that were inside of this pulsager, I think

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Speaker 1: are as interesting as the top line numbers and give

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Speaker 1: some indication of why Ron de Santis is falling off.

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Speaker 1: They asked voters, is it important that you vote for

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Speaker 1: a candidate who shares your views or can defeat Biden?

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Speaker 1: And seventy two percent said it was extremely important that

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Speaker 1: their candidate can defeat Biden, and a lower number, sixty

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Speaker 1: two percent, said that it was important that they share

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Speaker 1: their views. So electability concerns sort of key there. You

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Speaker 1: also had a question, okay, so then who do you

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Speaker 1: think is most likely to defeat Joe Biden? Donald Trump

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Speaker 1: running away with it on the electability question, fifty one

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Speaker 1: percent saying he is most likely to defeat Joe Biden.

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Speaker 1: Ron DeSantis down at seventeen percent, than Nikki Haley at

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Speaker 1: seven and Tim Scott at six. There were also some numbers.

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Speaker 1: Let's put this next one up on the screen about

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Speaker 1: what is most important to voters in the state, big

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Speaker 1: majority fifty one percent, so large proportion there, So this

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Speaker 1: is it's economic issues. Then you drop down to twelve

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Speaker 1: percent foreign policy, twelve percent immigration issues, twelve percent social issues,

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Speaker 1: and seven percent populist issues, which are not even sure

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Speaker 1: what that really means. You can maybe throw that in

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Speaker 1: the bucket with the economic issues in my opinion, but

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Speaker 1: I don't know how people would interpret that. But I

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Speaker 1: think the reason Sogerate these are so significant is because

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Speaker 1: DeSantis made a big bet on cultural issues, thinking that

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Speaker 1: that was really the key to winning over the Republican base.

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Speaker 1: He made a big bet on his critique of Donald Trump,

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Speaker 1: being that Trump was the squish and he wasn't hard

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Speaker 1: right enough. So DeSantis has moved to the right of

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Speaker 1: Trump on basically every significant issue, and in doing so,

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Speaker 1: he has damaged himself in the key areas that voters

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Speaker 1: actually most care about, which is number one, who can

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Speaker 1: defeat Joe Biden. That was what they liked about DeSantis,

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Speaker 1: apparently to start with, was like, Oh, you're doing great

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Speaker 1: in Florida. Florida voters are voting for you overwhelmingly as

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Speaker 1: a state that used to be a swing stable by

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Speaker 1: moving hard right, he's damaged himself on the electability front,

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Speaker 1: and by focusing in so much on cultural issues the

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Speaker 1: exclusion of almost anything else. He's also damaged himself in

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Speaker 1: terms of making an economic case to voters, which is

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Speaker 1: apparently what voters are most interested in.

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Speaker 3: This poll busts a hell of a lot of myths.

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Speaker 2: Number one is that we've consistently talked about electability.

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Speaker 3: So electability is.

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Speaker 2: Just as important, I think, to Republican voters, but they

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Speaker 2: are not going to view it in nearly the same

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Speaker 2: terms as you or I might, as the mainstream media,

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Speaker 2: and especially as a Democrat would in terms of whether

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Speaker 2: they were going to vote. Remember, in the minds of Apes,

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Speaker 2: the GOP primary base for them, Trump already did beat

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Speaker 2: Joe Biden, he just had the election rob from him,

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Speaker 2: so according to their analysis, so of course you can

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Speaker 2: beat him again.

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Speaker 3: So that's number one too. I mean a bit the

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Speaker 3: more that I look at it, they may not be wrong.

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Speaker 2: I mean, let's be honest, like Trump is the person

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Speaker 2: who is willing to walk as far away from Roe

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Speaker 2: versus weight as humanly possible, which was one of the

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Speaker 2: main deciding you know, events of the twenty twenty two midterms.

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Speaker 2: Trump is the person who is attacking other people in

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Speaker 2: the Republican field for not or for wanting to cut

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Speaker 2: Social Security or Medicare, or at the very least opening

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Speaker 2: the door to that. Trump is the one who has

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Speaker 2: tried to walk away from militarism militarism rhetorically as much

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Speaker 2: as possible.

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Speaker 3: In the race.

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Speaker 2: These are very popular issues or at the very least

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Speaker 2: they are completely untapped amongst the electorate, meaning that they

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Speaker 2: will be able to get at least some support. And

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Speaker 2: then finally, you know, on immigration, social and populist issues.

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Speaker 2: I have always believed that on the so immigration particularly, there's.

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Speaker 3: No out trumping Trump.

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Speaker 2: It's absolutely impossible, considering the effectively reinvented the entire debate

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Speaker 2: amongst the GOP. But on social issues too, if you

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Speaker 2: are one of these people who is completely pro life,

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Speaker 2: then you know you are within the minority whenever it

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Speaker 2: comes to the I'm talking about like no exceptions or

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Speaker 2: no like any limits or whatever. In terms of weeks,

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Speaker 2: these people they were never a majority part of the

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Speaker 2: caucus anyways. Yeah, so for them to be off of Trump,

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Speaker 2: it doesn't really affect him, like what he needs to

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Speaker 2: do is to get you know, what he clearly has

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Speaker 2: in both of these states, which is either an outright

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Speaker 2: majority or like pretty close to a very strong plurality

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Speaker 2: on all three of those top issues, and you very

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Speaker 2: easily get to a coalition of fifty one percent and

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Speaker 2: possibly you know, I mean, you don't even really need

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Speaker 2: fifty one if you're him. He won the original twenty

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Speaker 2: sixteen primary with some thirty five percent.

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Speaker 3: Yeah, that time around.

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Speaker 1: On the electability piece, this is one poll, so always,

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Speaker 1: you know, keep it in mind. But I'm looking at

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Speaker 1: a Michigan general election poll that has Biden and Trump

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Speaker 1: basically tied within the margin of error, Biden at forty five,

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Speaker 1: Trump at forty three, but Biden wiping the floor with

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Speaker 1: DeSantis forty four for Biden, thirty one for DeSantis. Now,

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Speaker 1: I do think that's an outlier. Most of the polls

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Speaker 1: that we've seen that have the like trial runs, you know,

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Speaker 1: what would it be, had to head matchups Biden versus

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Speaker 1: Trump or Biden versus DeSantis, they show him pretty close

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Speaker 1: both of them in the hunt and it basically a

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Speaker 1: jump ball regardless of which one becomes the nominee. But

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Speaker 1: the really clear case that DeSantis wanted to be able

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Speaker 1: to bake you know, the look at the scoreboard case

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Speaker 1: that he wanted to make. Clearly that is not panning

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Speaker 1: out for him. And I want to say I was

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Speaker 1: wrong about this too, because I didn't actually think that

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Speaker 1: electability was that important to the Republican base. I thought

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Speaker 1: they wanted what they wanted, And you know, I still

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Speaker 1: think there's an element of that. They like Trump's stylistically.

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Speaker 1: Trump is entertaining, he's charismatic, he's a fighter. You know,

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Speaker 1: he is hated by all the right people, and that's

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Speaker 1: there's certainly an element of that that really rings with

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Speaker 1: that really is compelling for the GOP base. But you know,

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Speaker 1: this poll has some decent evidence that electability is important

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Speaker 1: to them. That DeSantis could have been in a better

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Speaker 1: position if he had leaned into a different set of issues,

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Speaker 1: the issues that actually made him a more moderate and

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Speaker 1: popular governor of Florida, before he you know, really started

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Speaker 1: leaning in hard to the culture.

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Speaker 2: War stack, prosecuting more of a Ted Cruz case against Trump,

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Speaker 2: whereas there's a different DeSantis you know certainly that could

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Speaker 2: exist here. And then just to underscore we have this poll,

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Speaker 2: let's go and put this up there on the screen

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Speaker 2: actually shows a vivig Ramaswami tying Ron DeSantis for the

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Speaker 2: number two slot here in the GOP primary, Trump, though

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Speaker 2: still at forty eight percent, have a thirty six percent

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Speaker 2: commanding lead both on Ramaswami and DeSantis, but DeSantis actually tied.

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Speaker 2: This is from Capitalan Strategies with eight hundred likely voters.

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Speaker 2: I mean, look, you could take this with whatever grain

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Speaker 2: of salt you want. I really think that you should

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Speaker 2: not take it as gospel. But overall we see a

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Speaker 2: slide for diand just how far we don't know.

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Speaker 3: Let's be fair to the man, though, Let's try and

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Speaker 3: think about it.

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Speaker 2: So in this poll, like you were talking about the

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Speaker 2: head to head pole, Okay, the electorate hasn't gotten a

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Speaker 2: chance to know him. You know, he hasn't even won

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Speaker 2: a single election. Yet he still could very much change.

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Speaker 2: Things are fluid in terms of opinion. Everybody knows how

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Speaker 2: they feel about Trump. Nobody knows yet as much how

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Speaker 2: they feel about Ron DeSantis. He hasn't gotten the proper media.

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Speaker 2: I'm just look, I'm just playing the devil's advocate. He's

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Speaker 2: somebody who you know, if he wins a couple of

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Speaker 2: states here and there.

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Speaker 3: People's opinions will change.

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Speaker 2: People had you know, Obama, nobody knew who he was

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Speaker 2: until he won Iowa. So it's not like, you know,

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Speaker 2: we're not still along a long way away.

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Speaker 3: And should we really take that with it?

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Speaker 2: Should we really look at that is the gospel that

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Speaker 2: some people are casting. It is what I think I

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Speaker 2: would say to steal Man that argument is your whole

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Speaker 2: case is that you are the only one who can

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Speaker 2: beat Biden, pointing to previous general election polls that showed

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Speaker 2: that doing so. So why here in this critical state

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Speaker 2: are use running so far behind him? Yeah, I think

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Speaker 2: that's a critical one.

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Speaker 1: Yeah, I mean, I appreciate you trying to steal Man

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Speaker 1: the case. But also I've seen the numbers. It's not

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Speaker 1: that people don't know who Ron DeSantis is in the

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Speaker 1: Republican primary base. He actually has very high name recognition,

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Speaker 1: and Fox News, which is the main conservative outlet and

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Speaker 1: massive viewership, et cetera, has been doing everything they can

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Speaker 1: until very recently at least to prop him up. Before

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Speaker 1: We're going to move into some more details about what's

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Speaker 1: going on with the DeSantis campaign and maybe some of

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Speaker 1: the pitfalls that they've fallen into. But I do think

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Speaker 1: it's worth noting who appears to be coming up in

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Speaker 1: some of these polls. I mean, number one, I do

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Speaker 1: think the vic Ramaswami is having a moment. This isn't

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Speaker 1: the I don't know if he's tied for second place

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Speaker 1: as this national poll shows, but he is definitely rising

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Speaker 1: the polls. I think that's been pretty consistent now across

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Speaker 1: a number of state in national polls as he second,

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Speaker 1: as the third is. The fourth is a guy who

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Speaker 1: was kind of unknown prior to this election. He's never

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Speaker 1: held elected office, and he clearly has generated a lot

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Speaker 1: of especially online enthusiasm for his campaign. And I've noticed

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Speaker 1: this before, but I do think it's noteworthy that the

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Speaker 1: person who seems to have the most sort of energy

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Speaker 1: and momentum right now is probably the person who has

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Speaker 1: hugged Trump the most tightly. So that's noteworthy. The other

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Speaker 1: one is Tim Scott, who I think, as donors are

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Speaker 1: getting some question marks about Ron DeSantis, some one that

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Speaker 1: he's really the guy, and Fox News is sort of

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Speaker 1: moving off of DeSantis. Tim Scott is the alternative that

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Speaker 1: they seem to be turning towards. And you know, he's

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Speaker 1: in terms of his sort of personal presentation. Obviously, my

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Speaker 1: politics and his very different, but he has this very

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Speaker 1: you know, very likable presentation and you know, has managed

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Speaker 1: to avoid some of the pitfalls that the other campaigns haven't.

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Speaker 1: So anyway, he seems to be the other one who

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Speaker 1: is coming up in the polls. Let's turn down to

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Speaker 1: some more specifics about the DeSantis campaign. So we brought

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Speaker 1: you before. You know, his team had shared his war

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Speaker 1: room had shared this like meme ridden online anti gay

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Speaker 1: video that he got a lot of pushback about. Now

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Speaker 1: we have another staffer that retweeted a video that emerged online,

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Speaker 1: and we'll get to that question of emerged online, which listen,

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Speaker 1: I want to put a lot of caveats on this

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Speaker 1: with this was not Ron de Santas. It was one

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Speaker 1: campaign staffer, et cetera, et cetera. But go ahead and

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Speaker 1: start running the video. It's got a lot of the

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Speaker 1: same vibes as the other video that got a lot

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Speaker 1: of pushback, except the cherry on top of this one

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Speaker 1: is this imagery right here, which is just blatant Nazi imagery.

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Speaker 1: This is a Nazi symbol that, by the way, we're

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Speaker 1: gonna get totally dingged on YouTube. So you know this

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Speaker 1: video rip, but anyway, you might see this on some

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Speaker 1: of the patches in the Azov Battalion for example. Seriously,

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Speaker 1: that's where I've seen it most recently. You're right, and

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Speaker 1: so the fact that you have a staffer who you

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Speaker 1: know is so enmeshed in these online worlds that the

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Speaker 1: best thing you can say about is you just sort

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Speaker 1: of like accidentally tweets some Nazi imagery. I think as

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Speaker 1: indicative of the issue that not only DeSantis, but apparently

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Speaker 1: the team that he's cultivated is just way too online,

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Speaker 1: way too deep down these rabbit holes, and this creates

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Speaker 1: yet another distraction and issue for Ron de Santis.

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Speaker 2: Yeah, and look, let's explain I think why we're even

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Speaker 2: focusing on said video. It's not like we just randomly

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Speaker 2: plucked it. Guys can go and put eight there up

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Speaker 2: on the screen. You know, in that video that you

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Speaker 2: referenced that was attacking Trump and saying that DeSantis himself

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Speaker 2: was like the most like anti drag queen candidate.

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Speaker 3: I guess that exists.

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Speaker 2: The Dysantis aid had originally produced that video that we

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Speaker 2: were discussing internally, passing it off to an outside supporter

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Speaker 2: to then post it first to make it appear as

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Speaker 2: if it was generated independently. And remember there was a

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Speaker 2: lot of speculation about that video which was shared by

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Speaker 2: the Dysantas war room account and which received quite a

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Speaker 2: bit of scrutiny. I guess we could say nicely that video,

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Speaker 2: it turns out, was actually produced in house and then

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Speaker 2: farmed out to someone else. So then of course we

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Speaker 2: have to raise the question of anytime we see some

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Speaker 2: of these videos which are then our tied by campaign staffers,

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Speaker 2: made to you almost make happen or fake organically, did

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Speaker 2: that come from inside of the campaign If they're literally

434
00:21:15,640 --> 00:21:17,879
Speaker 2: cutting some of these things in house. Part of the

435
00:21:17,920 --> 00:21:20,800
Speaker 2: reason why we're having some speculation around this, And I

436
00:21:20,840 --> 00:21:23,200
Speaker 2: do think it fits very neatly, Crystal, with the point

437
00:21:23,200 --> 00:21:26,000
Speaker 2: that you were making around the voters he specifically are

438
00:21:26,320 --> 00:21:29,359
Speaker 2: his targeting to try to win over from Trump are

439
00:21:29,400 --> 00:21:31,000
Speaker 2: exactly the type of people who don't want to be

440
00:21:31,080 --> 00:21:32,040
Speaker 2: near anything like this.

441
00:21:32,440 --> 00:21:36,000
Speaker 1: Yeah, you know, it's just he completely I think misread

442
00:21:36,280 --> 00:21:39,560
Speaker 1: the reasons for his victory in Florida. I think that

443
00:21:39,640 --> 00:21:43,640
Speaker 1: there is a lot of online energy around anti trans

444
00:21:43,920 --> 00:21:47,560
Speaker 1: bills and legislation and issues and whatever in the online right.

445
00:21:47,920 --> 00:21:49,600
Speaker 1: But you know, when you look at the polling of

446
00:21:49,640 --> 00:21:52,000
Speaker 1: the broader Republican base, they're still like, you know what,

447
00:21:52,200 --> 00:21:54,119
Speaker 1: I'm concerned about the economy, and I want you to

448
00:21:54,160 --> 00:21:56,879
Speaker 1: be able to beat Joe Biden. So the things that

449
00:21:56,920 --> 00:21:59,200
Speaker 1: actually made him successful in Florida with some of the

450
00:21:59,240 --> 00:22:01,359
Speaker 1: areas where he was actually a little bit heaterodos like

451
00:22:01,480 --> 00:22:04,399
Speaker 1: raising teacher salaries for example, and where he appeared, and

452
00:22:04,440 --> 00:22:06,480
Speaker 1: where he made the right bet too, by the way,

453
00:22:06,560 --> 00:22:10,640
Speaker 1: on COVID, and that bet into an economic argument. Now

454
00:22:10,960 --> 00:22:13,000
Speaker 1: you can't just like rest on your laurels on that

455
00:22:13,040 --> 00:22:15,960
Speaker 1: though forever. You have to have an affirmative, forward looking

456
00:22:16,000 --> 00:22:18,439
Speaker 1: economic vision at a time when everybody is really more

457
00:22:18,520 --> 00:22:21,280
Speaker 1: or less moved on from COVID. So I think he

458
00:22:21,359 --> 00:22:24,600
Speaker 1: really misread his election victory. I think a lot of

459
00:22:24,720 --> 00:22:28,840
Speaker 1: Republicans misread his victory. And also, you know the victory

460
00:22:28,880 --> 00:22:31,399
Speaker 1: of Glen Youngkin in Virginia, which again was read as

461
00:22:31,440 --> 00:22:35,080
Speaker 1: an endorsement of hey, let's lean into anti CRT, let's

462
00:22:35,160 --> 00:22:39,159
Speaker 1: lean into anti trans when you know that was the

463
00:22:39,200 --> 00:22:41,480
Speaker 1: time when schools were still shut in a lot of

464
00:22:41,480 --> 00:22:43,679
Speaker 1: places in Virginia, and Glenn Youngkin was the guy that

465
00:22:43,720 --> 00:22:44,919
Speaker 1: was like, I'm going to get your kids back to

466
00:22:44,920 --> 00:22:47,199
Speaker 1: school and make sure that they are able to stay there,

467
00:22:47,240 --> 00:22:51,880
Speaker 1: which was a huge material impact on Virginia parents' lives.

468
00:22:52,280 --> 00:22:55,719
Speaker 1: So to me, the midterm results and the fact that

469
00:22:55,760 --> 00:22:58,800
Speaker 1: Republicans lean so heavily into those issues and came up with,

470
00:22:59,320 --> 00:23:02,960
Speaker 1: you know, really historically poor results given the hand that

471
00:23:03,000 --> 00:23:06,399
Speaker 1: they were dealt, was a repudiation of going so hard

472
00:23:06,720 --> 00:23:09,399
Speaker 1: into those issues as a thing on the side. You know,

473
00:23:09,520 --> 00:23:11,119
Speaker 1: the way the Santis played it in Florida was like,

474
00:23:11,160 --> 00:23:14,359
Speaker 1: this is about parental choice that was relatively popular. Again,

475
00:23:14,440 --> 00:23:16,639
Speaker 1: I had all kinds of disagreements, but framing it in

476
00:23:16,680 --> 00:23:19,560
Speaker 1: that more moderate way that actually landed. When you're actually

477
00:23:19,640 --> 00:23:23,000
Speaker 1: landing into like no, no, no, I'm virulently anti trans,

478
00:23:23,400 --> 00:23:26,680
Speaker 1: then you're talking about more niche concern that is not

479
00:23:26,760 --> 00:23:29,280
Speaker 1: at the core of certainly a general election, but even

480
00:23:29,280 --> 00:23:30,200
Speaker 1: within the Republican lie.

481
00:23:30,240 --> 00:23:32,919
Speaker 2: I am not ready to say that we First of all,

482
00:23:33,040 --> 00:23:34,479
Speaker 2: I'm not going to call it anti trans.

483
00:23:34,520 --> 00:23:35,760
Speaker 3: I think is very different framing.

484
00:23:35,760 --> 00:23:37,960
Speaker 1: When he called it, says it himself. I mean, he's

485
00:23:38,000 --> 00:23:39,680
Speaker 1: bragging about it in these ads. He's saying he's the

486
00:23:39,720 --> 00:23:42,600
Speaker 1: most anti trans Governor Donald try.

487
00:23:42,480 --> 00:23:45,320
Speaker 2: Trying to ban puberty blockers and castrating little kids, which

488
00:23:45,320 --> 00:23:47,560
Speaker 2: I think is an important issue. But I am also

489
00:23:47,600 --> 00:23:50,280
Speaker 2: going to say that that issue set is not as

490
00:23:50,320 --> 00:23:52,800
Speaker 2: important amongst the eyes of the electorate as abortion, and

491
00:23:52,840 --> 00:23:55,000
Speaker 2: I think that was the main reason why that didn't

492
00:23:55,040 --> 00:23:57,080
Speaker 2: think if you've float them together, abortion I think is

493
00:23:57,080 --> 00:23:58,720
Speaker 2: going to win. Every time I've said it here a

494
00:23:58,800 --> 00:24:02,720
Speaker 2: million times. You know, apparently the political calculus around that,

495
00:24:02,840 --> 00:24:05,320
Speaker 2: but I'm not yet ready to say that on its

496
00:24:05,359 --> 00:24:07,600
Speaker 2: face it's not popular. I do still think though, that

497
00:24:07,760 --> 00:24:10,560
Speaker 2: economic issues are going to remain vastly more important, and

498
00:24:10,600 --> 00:24:13,080
Speaker 2: so if I were scientists, that's what I would focus

499
00:24:13,080 --> 00:24:15,280
Speaker 2: on as well. This also gets to let's go ahead

500
00:24:15,280 --> 00:24:17,560
Speaker 2: and put a seven please up there on the screen.

501
00:24:17,840 --> 00:24:19,840
Speaker 3: So here we have exactly what you were pointing to.

502
00:24:19,880 --> 00:24:22,960
Speaker 2: Crystal DeSantis is campaign hemorrhaging support with this type of

503
00:24:23,040 --> 00:24:26,639
Speaker 2: GOP voter. The large survey from Quinnipiac found that the

504
00:24:26,720 --> 00:24:29,080
Speaker 2: drop in support for DeSantis for the largest one went

505
00:24:29,119 --> 00:24:31,879
Speaker 2: from fifty one percent and fifty one percent amongst college

506
00:24:31,960 --> 00:24:35,959
Speaker 2: educated white Republicans to twenty nine percent with them now,

507
00:24:36,000 --> 00:24:38,320
Speaker 2: which is a twenty two point decline, and the problem

508
00:24:38,359 --> 00:24:41,480
Speaker 2: with these people exactly is that, look they you know,

509
00:24:41,560 --> 00:24:44,000
Speaker 2: even on the economy, these people are probably more likely,

510
00:24:44,160 --> 00:24:47,320
Speaker 2: especially if they're still Republican, to be very like more

511
00:24:47,359 --> 00:24:50,480
Speaker 2: like small business Mitt Romney type conservatives. They don't want

512
00:24:50,520 --> 00:24:52,960
Speaker 2: to appear like they don't want to be controversial. And

513
00:24:53,000 --> 00:24:55,359
Speaker 2: so for DeSantis, like when you're going to lean into this,

514
00:24:55,520 --> 00:24:57,959
Speaker 2: like for him, it's going to be about it's like

515
00:24:58,680 --> 00:25:01,680
Speaker 2: casting them. They don't they want to feel embarrassed when

516
00:25:01,680 --> 00:25:03,400
Speaker 2: they're at the country club. They don't want to feel

517
00:25:03,400 --> 00:25:05,159
Speaker 2: embarrassed when they're in the you know, when they have

518
00:25:05,160 --> 00:25:09,439
Speaker 2: a Desanta sticker on on their their like vehicle parked

519
00:25:09,480 --> 00:25:12,480
Speaker 2: in a mixed city where fifty percent people vote Republican,

520
00:25:12,560 --> 00:25:14,919
Speaker 2: fifty percent vote Democrat, or and they pull up to

521
00:25:15,280 --> 00:25:17,920
Speaker 2: the private school. I think that there's something about that though,

522
00:25:17,960 --> 00:25:21,080
Speaker 2: which is so difficult for the average GOP politician, because

523
00:25:21,240 --> 00:25:25,200
Speaker 2: these issue sets are so popular amongst the intelligentsia, amongst

524
00:25:25,359 --> 00:25:28,320
Speaker 2: some parts of the base, but also repellent to a

525
00:25:28,320 --> 00:25:30,800
Speaker 2: lot of the white suburbanite voters who did end up

526
00:25:30,880 --> 00:25:32,919
Speaker 2: voting for Joe Biden. This is actually a perfect reason

527
00:25:32,960 --> 00:25:34,760
Speaker 2: why a lot of them voted for Biden in the

528
00:25:34,760 --> 00:25:37,600
Speaker 2: first place, because like, yeah, I don't want to feel controversial.

529
00:25:37,880 --> 00:25:40,480
Speaker 2: I think with Trump forsantas, I think it's an impossible

530
00:25:40,840 --> 00:25:42,760
Speaker 2: bargain when you're going to lean into.

531
00:25:42,560 --> 00:25:44,600
Speaker 3: These issue sets as we were talking about.

532
00:25:44,800 --> 00:25:47,399
Speaker 2: And I do think there is an alternative world where

533
00:25:47,440 --> 00:25:51,360
Speaker 2: he does things differently and focuses more on COVID reopening

534
00:25:51,520 --> 00:25:53,680
Speaker 2: and all that. But I do think it is far

535
00:25:53,760 --> 00:25:55,840
Speaker 2: too soon to like say, oh, this is the reason

536
00:25:56,119 --> 00:25:58,720
Speaker 2: that he's losing, you know, specifically, or that these issues

537
00:25:58,760 --> 00:26:01,760
Speaker 2: quote unquote aren't popular. You know, on their face, things

538
00:26:01,800 --> 00:26:04,399
Speaker 2: are very very you know, things are multifaceted, and things

539
00:26:04,640 --> 00:26:06,600
Speaker 2: rank in importance, But that doesn't mean that some people

540
00:26:06,680 --> 00:26:09,120
Speaker 2: don't agree with some of the underlying policy as well.

541
00:26:09,160 --> 00:26:11,520
Speaker 1: Look, the Republican base agrees with him. It's just a

542
00:26:11,600 --> 00:26:13,280
Speaker 1: question what are they voting on? But what do they

543
00:26:13,320 --> 00:26:16,160
Speaker 1: care about? And I think we've got pretty significant evidence,

544
00:26:16,280 --> 00:26:18,600
Speaker 1: judging by the fact that he can't go a single

545
00:26:18,640 --> 00:26:21,919
Speaker 1: freakin sentence without saying the word woke, that this is

546
00:26:21,960 --> 00:26:24,440
Speaker 1: not the core concern for the GOP base, because if

547
00:26:24,440 --> 00:26:27,160
Speaker 1: it was, he would be rising in the polls instead

548
00:26:27,200 --> 00:26:30,239
Speaker 1: of crashing and burning. And the fact that he you know,

549
00:26:30,320 --> 00:26:33,639
Speaker 1: his most solid group of support was around among white

550
00:26:33,760 --> 00:26:38,199
Speaker 1: college educated Republicans, who you know, probably tend to be

551
00:26:38,359 --> 00:26:41,960
Speaker 1: more moderate on these type of issues. Has left him

552
00:26:42,040 --> 00:26:45,639
Speaker 1: vulnerable to you know, bleeding, even like the core base

553
00:26:45,680 --> 00:26:48,960
Speaker 1: of his support and the white working class of the

554
00:26:49,000 --> 00:26:52,320
Speaker 1: Republican Party are firmly in the Donald Trump camp. It

555
00:26:52,359 --> 00:26:55,040
Speaker 1: reminds me a bit of the dynamic, the you know,

556
00:26:55,080 --> 00:26:59,080
Speaker 1: wine track, beer track dynamic from the Democratic primary last

557
00:26:59,080 --> 00:27:01,840
Speaker 1: time around, where those fickle group of voters in the

558
00:27:01,920 --> 00:27:05,840
Speaker 1: Democratic Party was, you know, the white college educated in

559
00:27:05,880 --> 00:27:10,360
Speaker 1: this in that context, liberals, they were shopping around. They

560
00:27:10,480 --> 00:27:13,280
Speaker 1: liked Kamala for a minute, they liked Beto for a minute,

561
00:27:13,320 --> 00:27:16,000
Speaker 1: they liked Pete for a minute, they liked Dami Klobashaffer.

562
00:27:16,040 --> 00:27:18,160
Speaker 1: They were kind of you know, they were week by

563
00:27:18,200 --> 00:27:22,480
Speaker 1: week they would switch their loyalties and ultimately they really

564
00:27:22,520 --> 00:27:24,920
Speaker 1: mostly came home to the guy that they thought would

565
00:27:24,920 --> 00:27:27,359
Speaker 1: be able to beat Donald Trump, and that was Joe Biden. So,

566
00:27:28,160 --> 00:27:30,080
Speaker 1: you know, this is a group of voters who is

567
00:27:30,119 --> 00:27:35,280
Speaker 1: potentially more fickle than non college educated voters, and he's

568
00:27:35,400 --> 00:27:39,040
Speaker 1: leaning into the exact wrong issue set in terms of

569
00:27:39,720 --> 00:27:42,600
Speaker 1: keeping their loyalty. So you know, I mean just to

570
00:27:42,640 --> 00:27:45,080
Speaker 1: give another example, the latest thing that he's under fire

571
00:27:45,160 --> 00:27:47,840
Speaker 1: for is his Board of Education putting out these standards

572
00:27:47,880 --> 00:27:51,679
Speaker 1: that emphasize how slaves personally benefited from the training that

573
00:27:51,680 --> 00:27:55,159
Speaker 1: they received, and he doubled down and tripled down on that.

574
00:27:55,480 --> 00:27:58,760
Speaker 1: So to your point about like the embarrassment factor, cyber

575
00:27:58,800 --> 00:28:01,280
Speaker 1: like they don't want to have to defend and this guy,

576
00:28:01,520 --> 00:28:03,760
Speaker 1: you know, given those those kind of comments and that

577
00:28:03,880 --> 00:28:07,720
Speaker 1: kind of focus within his campaign and within his governance,

578
00:28:08,200 --> 00:28:10,520
Speaker 1: So even among you know, the people who were the

579
00:28:10,560 --> 00:28:12,480
Speaker 1: most core part of his support. And it's not just

580
00:28:12,520 --> 00:28:14,040
Speaker 1: in that one pole. The piece that we put up

581
00:28:14,080 --> 00:28:17,520
Speaker 1: on the screen, sites multiple polls that have found him

582
00:28:17,600 --> 00:28:20,840
Speaker 1: just collapsing among what used to be his strongest demographic.

583
00:28:21,160 --> 00:28:23,280
Speaker 1: I think it's a good indication of what has gone

584
00:28:23,320 --> 00:28:23,920
Speaker 1: awry for him.

585
00:28:24,280 --> 00:28:27,040
Speaker 2: Yeah, and so I don't know, I get very annoyed

586
00:28:27,040 --> 00:28:29,240
Speaker 2: by these you know, everyone wants to point out like

587
00:28:29,320 --> 00:28:33,480
Speaker 2: the curricula problems and anti CRT stuff, but apparently discussing

588
00:28:33,480 --> 00:28:36,320
Speaker 2: what's actually in CRT education.

589
00:28:36,400 --> 00:28:38,320
Speaker 1: So I think we've had quite a discussion about it.

590
00:28:38,800 --> 00:28:40,640
Speaker 3: I mean, in terms of this scrutiny, No that, like,

591
00:28:40,680 --> 00:28:41,400
Speaker 3: in terms of this is.

592
00:28:41,440 --> 00:28:43,040
Speaker 1: Been a major focus of discussion.

593
00:28:43,120 --> 00:28:44,920
Speaker 3: No, no, no, no, I actually don't think so at all.

594
00:28:44,920 --> 00:28:47,120
Speaker 2: I think many Republicans, I mean, we're online enough and

595
00:28:47,160 --> 00:28:49,000
Speaker 2: you interact with enough right wingers that you could have

596
00:28:49,040 --> 00:28:51,200
Speaker 2: an intelligent discussion conversation.

597
00:28:51,280 --> 00:28:52,840
Speaker 1: In the Virginia election, I mean.

598
00:28:52,880 --> 00:28:55,040
Speaker 3: Well, there's our whole Sill school.

599
00:28:54,720 --> 00:28:57,200
Speaker 1: Board candidate that's been run across the country that's like

600
00:28:57,280 --> 00:28:59,520
Speaker 1: obsessed with this stuff all the like book banning and

601
00:28:59,600 --> 00:29:00,400
Speaker 1: Florida and Texas.

602
00:29:00,400 --> 00:29:02,600
Speaker 2: So we're talking about on a local level and on

603
00:29:02,760 --> 00:29:04,840
Speaker 2: people who are like in terms of engaging the fight,

604
00:29:04,880 --> 00:29:07,520
Speaker 2: I'm talking about like mainstream media analysis, and in terms

605
00:29:07,560 --> 00:29:09,320
Speaker 2: of that, it's like, oh, everybody can point to a

606
00:29:09,360 --> 00:29:12,120
Speaker 2: single sentence about what's going on in CRT, and everybody

607
00:29:12,200 --> 00:29:15,240
Speaker 2: knows exactly what we're discussing. I do think DeSantis miffed

608
00:29:15,240 --> 00:29:17,080
Speaker 2: his answer, by the way, on this, although even in

609
00:29:17,120 --> 00:29:19,320
Speaker 2: the underlying curriculum, some of it was true, a lot

610
00:29:19,360 --> 00:29:21,320
Speaker 2: of it was wrong, I will say that. But at

611
00:29:21,360 --> 00:29:23,480
Speaker 2: the same time, you know, in terms of the scrutiny

612
00:29:23,520 --> 00:29:25,520
Speaker 2: that does come on this stuff, it's like I always

613
00:29:25,560 --> 00:29:27,800
Speaker 2: see it, you know, whenever it's the anti CRT, but

614
00:29:27,880 --> 00:29:31,120
Speaker 2: whenever it's actual CRT, and we're like ranking children by

615
00:29:31,560 --> 00:29:32,960
Speaker 2: skin color and all that.

616
00:29:33,040 --> 00:29:34,040
Speaker 3: Then people call it.

617
00:29:34,160 --> 00:29:35,719
Speaker 1: There's a whole media ecosystem.

618
00:29:35,720 --> 00:29:37,320
Speaker 3: I agree with you on the right, but I don't.

619
00:29:37,120 --> 00:29:42,120
Speaker 1: Think And here's the other thing is, you know, I

620
00:29:42,160 --> 00:29:46,160
Speaker 1: think if you are developing a curriculum that intentionally downplays

621
00:29:46,160 --> 00:29:48,880
Speaker 1: the harms of slavery, I think that's a legitimate topic

622
00:29:48,920 --> 00:29:49,520
Speaker 1: of discussion.

623
00:29:49,680 --> 00:29:52,320
Speaker 2: Personally, Well, I mean, I don't think he downplayed slavery.

624
00:29:52,320 --> 00:29:54,400
Speaker 2: I think it was we're talking about single sentence in

625
00:29:54,440 --> 00:29:55,520
Speaker 2: a textbook.

626
00:29:57,800 --> 00:29:58,160
Speaker 3: Education.

627
00:29:58,240 --> 00:30:00,280
Speaker 1: This is not the only instance where there's enough to

628
00:30:00,320 --> 00:30:02,800
Speaker 1: be like, yeah, I mean, slavery's bat but everyone around

629
00:30:02,840 --> 00:30:04,320
Speaker 1: the world was doing And by the way, did you

630
00:30:04,320 --> 00:30:05,800
Speaker 1: know there were some white people in slave and let's

631
00:30:05,800 --> 00:30:08,120
Speaker 1: talk about the white indentured servants, and you know, let

632
00:30:08,160 --> 00:30:09,680
Speaker 1: me go ahead and double down on the idea that

633
00:30:09,680 --> 00:30:12,640
Speaker 1: slaves personally benefits. So I think it's a legitimate critique.

634
00:30:13,320 --> 00:30:16,800
Speaker 1: And even if you don't agree that this is a

635
00:30:16,880 --> 00:30:20,320
Speaker 1: legitimate critique, you have to know that the media is

636
00:30:20,360 --> 00:30:22,720
Speaker 1: of course going to seize true on a line in

637
00:30:22,720 --> 00:30:25,280
Speaker 1: the curriculum that's like slaves actually had a pretty good

638
00:30:25,440 --> 00:30:27,680
Speaker 1: So don't worry about it, guys. It was all fine.

639
00:30:27,880 --> 00:30:29,680
Speaker 1: Of course you're going to get asked questions about that.

640
00:30:30,040 --> 00:30:31,880
Speaker 1: And of course when you're you know, plumbing in the

641
00:30:31,880 --> 00:30:34,680
Speaker 1: polls and you're worried about shoring up white college educated support,

642
00:30:34,960 --> 00:30:36,800
Speaker 1: it's maybe not the fight you want to lean into.

643
00:30:37,000 --> 00:30:39,680
Speaker 2: I agree with that completely actually in terms of him,

644
00:30:39,960 --> 00:30:43,640
Speaker 2: for I've always said you could lean into the reopening

645
00:30:43,680 --> 00:30:47,280
Speaker 2: of Florida net migration, you could talk about cost of living.

646
00:30:47,480 --> 00:30:48,040
Speaker 3: You should all.

647
00:30:48,040 --> 00:30:49,880
Speaker 2: What part of the problem though, is that cost of

648
00:30:49,880 --> 00:30:52,800
Speaker 2: living is going up right now. But I would focus

649
00:30:52,840 --> 00:30:55,600
Speaker 2: also in terms of the price of education, the University

650
00:30:55,640 --> 00:30:58,160
Speaker 2: of Florida system, and to say, like Florida is a

651
00:30:58,160 --> 00:31:00,960
Speaker 2: place that people are coming to because it's and there's

652
00:31:01,080 --> 00:31:03,560
Speaker 2: currently a nightmare going on and the rest. I would

653
00:31:03,560 --> 00:31:05,480
Speaker 2: focus on that, and I would hammer that home because

654
00:31:05,480 --> 00:31:07,680
Speaker 2: I believe that we talked about this at nauseum. I

655
00:31:07,760 --> 00:31:09,680
Speaker 2: think even all these cultural fights, we can fight here

656
00:31:09,720 --> 00:31:11,040
Speaker 2: all day long about it, but this is not going

657
00:31:11,080 --> 00:31:12,960
Speaker 2: to determine the course of your life. What's going to

658
00:31:13,120 --> 00:31:14,800
Speaker 2: determine the course of your life is your mortgage rate

659
00:31:14,880 --> 00:31:16,400
Speaker 2: where you can actually be able to raise your kids,

660
00:31:16,400 --> 00:31:18,000
Speaker 2: and your kids be able to go get an education

661
00:31:18,040 --> 00:31:19,960
Speaker 2: if you want to and do better than you in life.

662
00:31:19,960 --> 00:31:21,480
Speaker 2: And I do think that if he were to talk

663
00:31:21,720 --> 00:31:23,920
Speaker 2: much more about that issue set, he would do a

664
00:31:23,920 --> 00:31:24,360
Speaker 2: lot better.

665
00:31:24,440 --> 00:31:29,240
Speaker 1: Electability apparently matters more than I expected in economic issues,

666
00:31:29,400 --> 00:31:32,480
Speaker 1: you know, just sing the praises of the Florida economy

667
00:31:32,560 --> 00:31:35,440
Speaker 1: all day, day and night. That was the best path

668
00:31:35,480 --> 00:31:38,600
Speaker 1: for him. But you know, in all fairness, even if

669
00:31:38,600 --> 00:31:40,280
Speaker 1: he did that, do I think he would be winning

670
00:31:40,320 --> 00:31:41,600
Speaker 1: right now? No idea?

671
00:31:41,680 --> 00:31:43,520
Speaker 3: This is the Yeah. I mean, we've beat this to

672
00:31:43,600 --> 00:31:44,240
Speaker 3: death at this point.

673
00:31:44,280 --> 00:31:48,800
Speaker 2: But electability to the Republican base is subjectively important, but

674
00:31:48,840 --> 00:31:51,760
Speaker 2: not objectively important. Like objectively is outrageous to think that

675
00:31:51,800 --> 00:31:54,080
Speaker 2: Trump is, you know, the most electable candidate or the

676
00:31:54,160 --> 00:31:56,360
Speaker 2: very least doesn't have serious electability problems.

677
00:31:56,440 --> 00:31:59,360
Speaker 1: Yeah, I think I'll have electability problems. Yeah, I guess,

678
00:31:59,400 --> 00:32:01,760
Speaker 1: well Trump there at least like he's won before.

679
00:32:01,920 --> 00:32:02,400
Speaker 3: Yeah. True.

680
00:32:02,480 --> 00:32:04,440
Speaker 1: And to your point I saw is sixty eight percent

681
00:32:04,560 --> 00:32:07,200
Speaker 1: or something of Republicans think that he won the last

682
00:32:07,200 --> 00:32:09,600
Speaker 1: election too, and it was stolen from him, so they

683
00:32:09,680 --> 00:32:12,560
Speaker 1: feel like he's a two time winner. So why wouldn't

684
00:32:12,560 --> 00:32:13,640
Speaker 1: he be able to pull it off again?

685
00:32:13,760 --> 00:32:13,960
Speaker 3: Man?

686
00:32:14,000 --> 00:32:20,040
Speaker 2: Politics is an amazing profession, isn't it? In twenty twenty four. Okay,

687
00:32:20,120 --> 00:32:22,480
Speaker 2: let's go ahead to the next part here about Twitter

688
00:32:22,680 --> 00:32:26,080
Speaker 2: and well, I guess, formerly known as Twitter, Elon Musk

689
00:32:26,160 --> 00:32:29,320
Speaker 2: Overnight has decided to change the name of the company

690
00:32:29,360 --> 00:32:31,160
Speaker 2: to X. Let's go ahead and put this up there

691
00:32:31,160 --> 00:32:34,880
Speaker 2: on the screen, debuting a brand new logo, which you

692
00:32:34,920 --> 00:32:38,280
Speaker 2: will now find in the top left of your top

693
00:32:38,360 --> 00:32:40,560
Speaker 2: left of your Twitter. Also, Chrislal, I guess we're gonna

694
00:32:40,560 --> 00:32:42,760
Speaker 2: have to start remaking these graphics because it currently says

695
00:32:42,800 --> 00:32:45,200
Speaker 2: Twitter up there at the top, or maybe we'll just

696
00:32:45,200 --> 00:32:47,120
Speaker 2: stick to it because I don't think this one is

697
00:32:47,160 --> 00:32:47,840
Speaker 2: going to catch on.

698
00:32:48,000 --> 00:32:49,360
Speaker 1: Let's see how long it lasts.

699
00:32:49,960 --> 00:32:52,720
Speaker 2: So the official rebrand for those who are watching, you

700
00:32:52,720 --> 00:32:54,240
Speaker 2: could see right there in front of you got the

701
00:32:54,280 --> 00:32:56,400
Speaker 2: Twitter logo there on the right for the old one

702
00:32:56,440 --> 00:32:59,480
Speaker 2: from the early two thousands, and we've got X there

703
00:32:59,480 --> 00:33:02,000
Speaker 2: on the left. So for the uninitiated, for those who

704
00:33:02,040 --> 00:33:04,720
Speaker 2: don't know, let's put Elon's announcement up there on the screen.

705
00:33:05,400 --> 00:33:07,880
Speaker 2: Here's what we said about x X dot com. Noowpoints

706
00:33:07,880 --> 00:33:11,520
Speaker 2: to Twitter dot com. The interim X logo goes live today,

707
00:33:11,600 --> 00:33:14,120
Speaker 2: so this actually doesn't come out of nowhere. There's some

708
00:33:14,240 --> 00:33:17,560
Speaker 2: interesting history behind X dot Com. X dot Com was

709
00:33:17,600 --> 00:33:21,360
Speaker 2: actually the second company that Elon ever was the head of,

710
00:33:21,440 --> 00:33:24,920
Speaker 2: and it eventually became known as PayPal because it was

711
00:33:25,040 --> 00:33:28,640
Speaker 2: in the same building as the PayPal office with Peter Tiel.

712
00:33:28,920 --> 00:33:31,600
Speaker 2: There's like a legendary like X dot Com and PayPal

713
00:33:32,000 --> 00:33:34,240
Speaker 2: organization that happened because they got to know each other.

714
00:33:34,240 --> 00:33:36,400
Speaker 3: They're both working on online payments.

715
00:33:36,800 --> 00:33:39,880
Speaker 2: X was always the vision of Elon at that time

716
00:33:40,200 --> 00:33:42,800
Speaker 2: in the nineteen nineties, going into the dot com bubble.

717
00:33:42,960 --> 00:33:45,280
Speaker 2: The idea was that you should be able not only

718
00:33:45,360 --> 00:33:48,680
Speaker 2: to seamlessly financially transact on the Internet, but you should

719
00:33:48,720 --> 00:33:52,240
Speaker 2: have almost like a one stop shop for everything in

720
00:33:52,320 --> 00:33:54,680
Speaker 2: terms of how you conduct your day to day life.

721
00:33:54,800 --> 00:33:57,760
Speaker 2: It's actually interesting to consider this, but he was far

722
00:33:57,920 --> 00:34:00,600
Speaker 2: ahead of his time because X dot Com as it

723
00:34:00,680 --> 00:34:03,560
Speaker 2: was envisioned in the nineties is a lot like we

724
00:34:03,760 --> 00:34:07,880
Speaker 2: Chat in China is today, and we Chat is effectively

725
00:34:07,920 --> 00:34:11,520
Speaker 2: like an ecosystem where you have your payments, it has

726
00:34:11,640 --> 00:34:15,480
Speaker 2: your social media, it has almost your entire digital online persona.

727
00:34:15,560 --> 00:34:18,160
Speaker 3: Now there's a reason that China has its structure that way.

728
00:34:18,200 --> 00:34:20,040
Speaker 2: And it's because it's like, well, we could turn it

729
00:34:20,080 --> 00:34:21,760
Speaker 2: on and we could turn it off at every point,

730
00:34:22,120 --> 00:34:24,520
Speaker 2: so I'm not saying it isn't scary, but of course

731
00:34:24,560 --> 00:34:26,800
Speaker 2: it's very convenient to the consumer, and he kind of

732
00:34:26,840 --> 00:34:28,080
Speaker 2: dreamed it up at that time.

733
00:34:28,120 --> 00:34:29,360
Speaker 3: It didn't end up working out.

734
00:34:29,200 --> 00:34:31,520
Speaker 2: For a variety of reasons, a lot of it having

735
00:34:31,560 --> 00:34:34,520
Speaker 2: into bank regulations and also just the way our internet

736
00:34:34,560 --> 00:34:37,840
Speaker 2: evolved versus theirs. I'm giving a very charitable read of

737
00:34:37,840 --> 00:34:40,759
Speaker 2: this just so everybody knows I'm talking about the original vision.

738
00:34:40,560 --> 00:34:42,760
Speaker 3: As to how it will be executed. Well.

739
00:34:42,960 --> 00:34:45,680
Speaker 2: Twitter or X's CEO, let's put this up there on

740
00:34:45,719 --> 00:34:49,319
Speaker 2: the screen, put out a statement hours after Elon announced this,

741
00:34:49,640 --> 00:34:54,240
Speaker 2: saying quote, X is the future of unlimited interactivity centered

742
00:34:54,280 --> 00:34:57,720
Speaker 2: in audio, video, messaging, payments, and banking, creating a global

743
00:34:57,760 --> 00:35:01,560
Speaker 2: marketplace for ideas, good services, and opportunit unities powered by AI.

744
00:35:01,960 --> 00:35:04,680
Speaker 2: X will connect us all in ways they were just

745
00:35:04,760 --> 00:35:07,719
Speaker 2: beginning to imagine. For years, fans and critics have pushed

746
00:35:07,719 --> 00:35:10,040
Speaker 2: Twitter to dream bigger, to innovate faster, and to fill

747
00:35:10,040 --> 00:35:10,920
Speaker 2: our greatest potential.

748
00:35:11,280 --> 00:35:12,160
Speaker 3: X will do that and more.

749
00:35:12,200 --> 00:35:14,000
Speaker 2: We have started to see X take shape over the

750
00:35:14,040 --> 00:35:16,800
Speaker 2: last eight months over our rapid feature launches.

751
00:35:16,840 --> 00:35:18,120
Speaker 3: I'm sure you can call.

752
00:35:18,000 --> 00:35:21,799
Speaker 2: It that there's absolutely no limit for transformation. X will

753
00:35:21,800 --> 00:35:24,520
Speaker 2: be the platform that can deliver everything. Elon and I

754
00:35:24,600 --> 00:35:26,680
Speaker 2: are looking forward to working with our teams and every

755
00:35:26,719 --> 00:35:29,680
Speaker 2: single one of our partners to bring X to the world.

756
00:35:29,800 --> 00:35:31,319
Speaker 2: So what do you think, Crystal, what do you think

757
00:35:31,320 --> 00:35:34,000
Speaker 2: about the future of the X dot com?

758
00:35:34,600 --> 00:35:37,000
Speaker 1: Raise your hand out there if you are ready to

759
00:35:37,080 --> 00:35:41,439
Speaker 1: trust your banking to Elon Musk given what we've seen

760
00:35:41,760 --> 00:35:45,760
Speaker 1: on the platform, the more regular crashes and blud bugs

761
00:35:45,760 --> 00:35:48,600
Speaker 1: and glitches, the fact that they couldn't handle just like

762
00:35:48,640 --> 00:35:52,720
Speaker 1: an audio only launch for Ron DeSantis, and you're putting

763
00:35:52,719 --> 00:35:56,799
Speaker 1: out these like grand ideas about replacing half of the

764
00:35:56,840 --> 00:36:00,680
Speaker 1: global financial system. Okay, color me skeptical on that one.

765
00:36:00,960 --> 00:36:03,040
Speaker 1: The funny thing is that, you know, I was reading

766
00:36:03,080 --> 00:36:05,360
Speaker 1: through the list of like the features and the changes

767
00:36:05,600 --> 00:36:08,399
Speaker 1: and whatever, and most of them are pretty small ball.

768
00:36:08,520 --> 00:36:11,040
Speaker 1: They're little like tweaks around the edges of like this

769
00:36:11,200 --> 00:36:13,719
Speaker 1: or that functionality. And then it's like, so it's like,

770
00:36:13,920 --> 00:36:15,879
Speaker 1: I'm going to change like this a little bit. We're

771
00:36:15,880 --> 00:36:18,279
Speaker 1: going to not call them followers anymore. We're going to

772
00:36:18,480 --> 00:36:21,400
Speaker 1: you know, implement this like creator payment system, which you

773
00:36:21,400 --> 00:36:23,560
Speaker 1: know that could be quite significant. But and then it's like,

774
00:36:23,640 --> 00:36:25,160
Speaker 1: and we're going to take over half of the global

775
00:36:25,160 --> 00:36:29,040
Speaker 1: financial system. It's like, okay, sure, sure you are. In

776
00:36:29,120 --> 00:36:31,799
Speaker 1: terms of the branding itself, I mean, listen, maybe I'm

777
00:36:31,800 --> 00:36:33,040
Speaker 1: just being a stick in the mud because I get

778
00:36:33,080 --> 00:36:35,640
Speaker 1: attached to something I'm used to, the Twitter bird. It's

779
00:36:35,680 --> 00:36:41,080
Speaker 1: an iconic brand, it's very recognizable. This is super generic, weird.

780
00:36:41,160 --> 00:36:43,520
Speaker 1: I just don't really understand the point of it. I

781
00:36:43,560 --> 00:36:45,880
Speaker 1: think you gave up what was an you know, iconic

782
00:36:45,960 --> 00:36:49,400
Speaker 1: branding and imagery and all of that on sort of

783
00:36:49,400 --> 00:36:52,000
Speaker 1: a scattershot basis and slap this thing on it. And

784
00:36:52,040 --> 00:36:53,560
Speaker 1: I don't think it looks particularly good.

785
00:36:53,800 --> 00:36:57,280
Speaker 2: So what I would say is the problem I find

786
00:36:57,440 --> 00:36:59,160
Speaker 2: is that this almost seems a bit desperate.

787
00:36:59,200 --> 00:37:01,920
Speaker 3: So did anyone see the term AI in there?

788
00:37:02,239 --> 00:37:04,719
Speaker 2: I'm like, oh, interesting, So there's a joke right now,

789
00:37:04,760 --> 00:37:06,880
Speaker 2: like in the venture capital world, like all somebody has

790
00:37:06,920 --> 00:37:08,799
Speaker 2: to do is just put AI at the beginning their

791
00:37:08,960 --> 00:37:11,240
Speaker 2: startup and evaluation goes up by.

792
00:37:11,080 --> 00:37:13,960
Speaker 3: Like one hundred million dollars. So I am like, okay,

793
00:37:13,960 --> 00:37:14,960
Speaker 3: well hold on a second.

794
00:37:15,200 --> 00:37:17,560
Speaker 2: My issue with you know, trying to think so grand

795
00:37:17,920 --> 00:37:20,080
Speaker 2: in this way is, dude, you got to focus on

796
00:37:20,160 --> 00:37:23,160
Speaker 2: core competencies first, like, are you profitable yes or no?

797
00:37:23,640 --> 00:37:26,760
Speaker 3: Are you on a road to profitability delivering a core service?

798
00:37:27,000 --> 00:37:29,200
Speaker 3: Yes or no? Does the product work?

799
00:37:29,239 --> 00:37:30,960
Speaker 2: I mean the answer to that question is actually no

800
00:37:31,560 --> 00:37:35,239
Speaker 2: on the consistency basis, is the product good even when

801
00:37:35,239 --> 00:37:36,960
Speaker 2: it does work well? You know, I can't be the

802
00:37:37,000 --> 00:37:40,360
Speaker 2: only guy whose feed is flooded with terrible ads.

803
00:37:40,600 --> 00:37:44,120
Speaker 3: I hate the for you page, love following. I don't know,

804
00:37:44,160 --> 00:37:44,600
Speaker 3: we'll see.

805
00:37:44,680 --> 00:37:46,880
Speaker 2: I mean in terms of whether I am you know,

806
00:37:46,920 --> 00:37:49,799
Speaker 2: in the minority here or not. The other question, you know,

807
00:37:49,880 --> 00:37:53,040
Speaker 2: whenever it comes to this is are we actually going

808
00:37:53,239 --> 00:37:56,440
Speaker 2: like ditching this iconic brand in favor of what like?

809
00:37:56,600 --> 00:38:00,239
Speaker 2: Or can we realistically have a path towards that product?

810
00:38:00,640 --> 00:38:02,960
Speaker 2: At the same time, look, this is Elon's modus operandi.

811
00:38:03,000 --> 00:38:05,760
Speaker 2: You know, he talked a massive game on Tesla for years.

812
00:38:05,800 --> 00:38:07,759
Speaker 2: Everybody bet against him and said you're gonna lose, You're

813
00:38:07,760 --> 00:38:10,200
Speaker 2: gonna fail, You're all this production is never gonna happen.

814
00:38:10,400 --> 00:38:12,680
Speaker 2: He always ended up pulling it out. But part of

815
00:38:12,680 --> 00:38:14,720
Speaker 2: the reason why I do think this is fundamentally different

816
00:38:15,000 --> 00:38:18,400
Speaker 2: is Elon was solving a series of engineering problems. At

817
00:38:18,400 --> 00:38:21,279
Speaker 2: the end of the day, engineering, financial, and economies at

818
00:38:21,320 --> 00:38:24,800
Speaker 2: scale in the Tesla system, this is about social media,

819
00:38:24,840 --> 00:38:28,759
Speaker 2: which is about what consumers like their user patterns. It's

820
00:38:28,840 --> 00:38:31,720
Speaker 2: not the same like when somebody goes to you and says,

821
00:38:32,480 --> 00:38:35,239
Speaker 2: there's no way we can produce a thousand cars, well

822
00:38:35,320 --> 00:38:36,600
Speaker 2: or one hundred thousand cars.

823
00:38:36,800 --> 00:38:38,480
Speaker 3: The engineering problem set that you have.

824
00:38:38,480 --> 00:38:40,600
Speaker 2: To solve there has to deal with let's get some

825
00:38:40,640 --> 00:38:42,920
Speaker 2: more material, let's all work much harder. Well that what's

826
00:38:42,920 --> 00:38:45,640
Speaker 2: a creative way to get there? And regulatory and all that.

827
00:38:45,680 --> 00:38:48,400
Speaker 2: Social media is just totally different in terms of rolling

828
00:38:48,440 --> 00:38:51,000
Speaker 2: stuff out. So you know, when we're talking here about banking,

829
00:38:51,040 --> 00:38:52,880
Speaker 2: it's like, okay, did you even talk to any of

830
00:38:52,880 --> 00:38:55,120
Speaker 2: the banks you know before you launch this product?

831
00:38:55,320 --> 00:38:58,280
Speaker 3: Are they going to enter with your system? What about Apple?

832
00:38:58,320 --> 00:39:01,759
Speaker 2: The vast majority of Twitter users are on the are

833
00:39:01,840 --> 00:39:03,880
Speaker 2: on an iPhone or on Android? Are they going to

834
00:39:03,920 --> 00:39:05,759
Speaker 2: take a cut of set product? Are they going to

835
00:39:05,800 --> 00:39:07,960
Speaker 2: allow you through? You know, the app store has very

836
00:39:08,000 --> 00:39:10,840
Speaker 2: onerous regulations whenever it comes to all this stuff. So

837
00:39:10,880 --> 00:39:12,759
Speaker 2: that that's more My thing is I'm like, did you

838
00:39:12,840 --> 00:39:16,240
Speaker 2: really think about the vision and the core competency before

839
00:39:16,280 --> 00:39:16,839
Speaker 2: you're doing it?

840
00:39:16,960 --> 00:39:20,120
Speaker 3: Or is this a ploy possible? I think to actually raise.

841
00:39:19,960 --> 00:39:22,359
Speaker 2: Money by putting AI in there and putting some sort

842
00:39:22,360 --> 00:39:24,840
Speaker 2: of like moonshot thing on top of the company to

843
00:39:24,840 --> 00:39:27,200
Speaker 2: try and keep a higher valuation, raise money at that.

844
00:39:27,360 --> 00:39:29,120
Speaker 1: Yeah, it's a start point, I mean to me, in

845
00:39:29,120 --> 00:39:33,000
Speaker 1: my opinion, the most what I'm most hoping for is

846
00:39:33,000 --> 00:39:35,920
Speaker 1: that this is just like a flight of fancy with

847
00:39:36,160 --> 00:39:38,680
Speaker 1: nothing real behind it and not any sort of play

848
00:39:38,719 --> 00:39:41,279
Speaker 1: that is going to really really work out, because to me,

849
00:39:41,880 --> 00:39:44,839
Speaker 1: and I thought this with you know, Facebook now Meta,

850
00:39:44,920 --> 00:39:49,399
Speaker 1: also another terrible rebranding making some similar noises is the

851
00:39:49,400 --> 00:39:53,440
Speaker 1: idea of handing these oligarch tech billionaires even more control

852
00:39:53,560 --> 00:39:55,840
Speaker 1: over our daily lives. Now we're going to marry like

853
00:39:56,040 --> 00:39:58,000
Speaker 1: you know, what we're allowed to say in the public

854
00:39:58,040 --> 00:40:01,279
Speaker 1: square with also like what tre actions were allowed to

855
00:40:01,400 --> 00:40:06,640
Speaker 1: engage in. That's terrifying. So I actively hope that this

856
00:40:06,800 --> 00:40:09,760
Speaker 1: direction is you know, just a sort of a whim

857
00:40:10,120 --> 00:40:13,360
Speaker 1: that's going to come to absolutely nothing, because the alternative

858
00:40:13,360 --> 00:40:17,000
Speaker 1: that it actually somehow magically works out and Elon Musk

859
00:40:17,000 --> 00:40:20,719
Speaker 1: takes over half of the global financial system is completely terrifying.

860
00:40:20,880 --> 00:40:22,120
Speaker 3: Right, let's go ahead and put this up there.

861
00:40:22,160 --> 00:40:25,720
Speaker 2: Also on the screen, Threads, which lived a very short

862
00:40:25,760 --> 00:40:29,520
Speaker 2: life appears to be plummeting after an explosive start. Quote,

863
00:40:29,520 --> 00:40:32,160
Speaker 2: there's been a nearly seventy percent decline in the number

864
00:40:32,200 --> 00:40:35,360
Speaker 2: of daily active users since the July seven peak, spoiling

865
00:40:35,440 --> 00:40:38,319
Speaker 2: their explosive launch just two weeks ago after signing up

866
00:40:38,520 --> 00:40:41,279
Speaker 2: one hundred million or so people. This, you know, is

867
00:40:41,320 --> 00:40:43,279
Speaker 2: going to be a big question of like, were they

868
00:40:43,280 --> 00:40:46,200
Speaker 2: going to be able to keep engagement on the platform? Actually, Hi,

869
00:40:46,320 --> 00:40:48,959
Speaker 2: the answer appears to be no right now. I got

870
00:40:48,960 --> 00:40:51,640
Speaker 2: to say, I think Threads had some promise, but part

871
00:40:51,640 --> 00:40:55,160
Speaker 2: of the problem is they did not have the ability

872
00:40:55,239 --> 00:40:58,799
Speaker 2: to post from desktop. There many of the features that

873
00:40:58,840 --> 00:41:02,120
Speaker 2: they were built into the core of the Twitter platform

874
00:41:02,239 --> 00:41:05,000
Speaker 2: didn't exist there. So in terms of being able to

875
00:41:05,040 --> 00:41:08,000
Speaker 2: switch over seamlessly, it didn't really exist. I knew some

876
00:41:08,120 --> 00:41:10,880
Speaker 2: very prolific Twitter posters who were trying to do everything

877
00:41:11,120 --> 00:41:13,360
Speaker 2: on Threads, and because they were limited to mobile, it

878
00:41:13,400 --> 00:41:16,600
Speaker 2: was definitely it just didn't work. It also didn't have

879
00:41:16,840 --> 00:41:19,000
Speaker 2: a good enough load time if you're actually trying to

880
00:41:19,080 --> 00:41:22,120
Speaker 2: use it for news. And then in terms of the algorithm,

881
00:41:22,280 --> 00:41:24,880
Speaker 2: this always this was always a big question of friends

882
00:41:24,880 --> 00:41:27,319
Speaker 2: and family, are you people actually going to want to

883
00:41:27,360 --> 00:41:30,480
Speaker 2: have their people who follow them on Instagram actually see

884
00:41:30,480 --> 00:41:32,759
Speaker 2: what they want to post on Twitter or on a

885
00:41:32,800 --> 00:41:35,680
Speaker 2: Twitter alternative. I think that was also a big question,

886
00:41:35,760 --> 00:41:38,239
Speaker 2: So I don't know. I think ultimately, you know the

887
00:41:38,320 --> 00:41:40,640
Speaker 2: question or rarely. What we're learning from both of these

888
00:41:40,640 --> 00:41:43,719
Speaker 2: things is so these companies evolve to what they are

889
00:41:43,760 --> 00:41:46,520
Speaker 2: for a reason. They have core competencies. Branching out of

890
00:41:46,560 --> 00:41:50,359
Speaker 2: those core competencies can be done, but it's also extraordinarily difficult,

891
00:41:50,400 --> 00:41:52,760
Speaker 2: like we were just talking about with x dot com,

892
00:41:52,800 --> 00:41:56,040
Speaker 2: and you made a great point too about centralization. The

893
00:41:56,200 --> 00:41:58,719
Speaker 2: entire reason that the US doesn't have a weech hat

894
00:41:58,800 --> 00:42:03,480
Speaker 2: like system is because we had an open, fair ish,

895
00:42:03,520 --> 00:42:04,839
Speaker 2: and competitive.

896
00:42:04,280 --> 00:42:05,640
Speaker 3: System in the nineteen nineties.

897
00:42:05,760 --> 00:42:10,480
Speaker 2: Yeah, as in, everything evolved separately, so you didn't have

898
00:42:10,520 --> 00:42:12,920
Speaker 2: the ability to combine. The reason China has a different

899
00:42:12,920 --> 00:42:14,960
Speaker 2: system is they banned all of that in the nineties

900
00:42:15,160 --> 00:42:17,319
Speaker 2: and then they saw that with the development of the

901
00:42:17,320 --> 00:42:20,560
Speaker 2: smartphone that centralization is actually a good thing, and so

902
00:42:20,640 --> 00:42:23,960
Speaker 2: they just combined everything into a single app, whereas ours

903
00:42:24,040 --> 00:42:27,479
Speaker 2: poured it over from an original web system onto the phone,

904
00:42:27,480 --> 00:42:30,200
Speaker 2: which is why you have a different ecosystem. And while

905
00:42:30,239 --> 00:42:33,960
Speaker 2: that can be annoying, you know, not having everything seamlessly integrated.

906
00:42:34,080 --> 00:42:36,400
Speaker 2: It also makes it so that there's no one centralized

907
00:42:36,440 --> 00:42:38,799
Speaker 2: point of control and of power. So I actually hope,

908
00:42:39,080 --> 00:42:41,439
Speaker 2: like you do, that it never exists here in the US,

909
00:42:41,520 --> 00:42:44,239
Speaker 2: because it didn't for the very reason that we originally

910
00:42:44,280 --> 00:42:47,200
Speaker 2: had a very free and competitive ecosystem on the web

911
00:42:47,239 --> 00:42:49,440
Speaker 2: that eventually poured it over onto the smartphone.

912
00:42:49,520 --> 00:42:51,279
Speaker 1: Yeah. I think that those are all good points. I mean,

913
00:42:51,280 --> 00:42:53,440
Speaker 1: on the threads like it impart, they're a victim of

914
00:42:53,480 --> 00:42:56,200
Speaker 1: their initial success and the blockbuster numbers that they did.

915
00:42:56,600 --> 00:42:58,920
Speaker 1: So when you drop off seventy percent, it's still a

916
00:42:58,960 --> 00:43:01,200
Speaker 1: lot of people or you using the platform and still

917
00:43:01,239 --> 00:43:06,319
Speaker 1: thirteen million daily active users. But you know, I do

918
00:43:06,440 --> 00:43:09,719
Speaker 1: sort of agree with you that it's just it's not

919
00:43:09,760 --> 00:43:12,120
Speaker 1: even that they did anything wrong. It's just hard to

920
00:43:12,160 --> 00:43:14,360
Speaker 1: persuade people to move off the thing that they're comfy

921
00:43:14,440 --> 00:43:17,759
Speaker 1: with and they've built following in a network and whatever on,

922
00:43:17,960 --> 00:43:21,000
Speaker 1: and so if there isn't an immediate payoff with that,

923
00:43:21,280 --> 00:43:24,759
Speaker 1: or if there isn't sufficient immediate pain on the platform

924
00:43:24,880 --> 00:43:28,320
Speaker 1: that they're on, it's just difficult. These things are sticky.

925
00:43:28,640 --> 00:43:28,839
Speaker 2: You know.

926
00:43:28,920 --> 00:43:30,920
Speaker 1: It's not the same as the era when you used

927
00:43:30,920 --> 00:43:33,040
Speaker 1: to have MySpace and Facebook was able to come in

928
00:43:33,080 --> 00:43:35,560
Speaker 1: and kill them. That was still very nascent. It was

929
00:43:35,560 --> 00:43:38,239
Speaker 1: still early adopters who were on that platform. There's just

930
00:43:38,400 --> 00:43:41,719
Speaker 1: more sort of like churn in that atmosphere. Now people

931
00:43:41,760 --> 00:43:44,760
Speaker 1: are kind of locked into. If they're a Facebook person,

932
00:43:44,840 --> 00:43:47,439
Speaker 1: they're on Facebook. If you're a Twitter person, you're there

933
00:43:47,440 --> 00:43:50,520
Speaker 1: on Twitter. You've built up a whole thing there. And

934
00:43:51,080 --> 00:43:53,720
Speaker 1: even you know, for myself, like I signed up for Threads,

935
00:43:53,800 --> 00:43:55,799
Speaker 1: I took a look at it, and I lurked a

936
00:43:55,800 --> 00:43:57,879
Speaker 1: little bit to see what the general vibe was. That's

937
00:43:57,920 --> 00:43:59,839
Speaker 1: all I've done, even though I sort of hate Twitter

938
00:44:00,000 --> 00:44:02,000
Speaker 1: at this point, I really don't even post there anymore.

939
00:44:02,080 --> 00:44:06,319
Speaker 1: But even for me, it's not like I'm super invested

940
00:44:06,560 --> 00:44:10,680
Speaker 1: in making Threads work as some you know, Twitter competitor alternative,

941
00:44:10,719 --> 00:44:13,239
Speaker 1: and I have issues with the fact that there is

942
00:44:13,360 --> 00:44:17,880
Speaker 1: no just straight timeline feed. It's all algorithmically generated. I

943
00:44:17,880 --> 00:44:19,799
Speaker 1: have an issue with that. I mean, there's a whole

944
00:44:19,840 --> 00:44:22,239
Speaker 1: censorship regime over there that I have a problem with too.

945
00:44:22,480 --> 00:44:24,440
Speaker 1: So it wasn't even totally clear to me. And they

946
00:44:24,480 --> 00:44:26,480
Speaker 1: made it clear also that they didn't even want politics

947
00:44:26,520 --> 00:44:28,320
Speaker 1: on their platforms. I was like, all right, well, I

948
00:44:28,360 --> 00:44:31,839
Speaker 1: guess I'm not really welcome here either. So I think

949
00:44:31,880 --> 00:44:35,279
Speaker 1: it's going to be difficult to supplant Twitter as the

950
00:44:35,880 --> 00:44:41,719
Speaker 1: microblogging platform, even though I suspect threads will hang out there.

951
00:44:41,880 --> 00:44:45,880
Speaker 1: They've got the corporate backing, they've got the Instagram tie in.

952
00:44:46,320 --> 00:44:49,239
Speaker 1: There may be some specific communities that develop over there

953
00:44:49,360 --> 00:44:52,640
Speaker 1: that make sense with the connectivity between those two platforms.

954
00:44:52,680 --> 00:44:55,319
Speaker 1: I could see it's sort of working. But as an

955
00:44:55,520 --> 00:44:59,320
Speaker 1: actual Twitter killer, I have grown increasingly skeptical.

956
00:44:59,400 --> 00:45:00,960
Speaker 3: Look, here's the thing you never know.

957
00:45:01,160 --> 00:45:05,480
Speaker 2: I mean, Instagram Stories wasn't an overnight success versus Snapchat.

958
00:45:05,560 --> 00:45:07,560
Speaker 3: It took years for them to battle it out.

959
00:45:07,640 --> 00:45:10,600
Speaker 2: At the same time, you know, Facebook has a long

960
00:45:11,120 --> 00:45:13,920
Speaker 2: history of also just nuking products overnight. Like if they

961
00:45:14,000 --> 00:45:15,880
Speaker 2: think that it's not going to work, so they have

962
00:45:15,960 --> 00:45:17,680
Speaker 2: two options, they can nuke it. I don't think that

963
00:45:17,719 --> 00:45:19,920
Speaker 2: they will, just from a pride perspective and because you know,

964
00:45:20,040 --> 00:45:23,520
Speaker 2: maybe they see some user like actually using on the

965
00:45:23,560 --> 00:45:26,200
Speaker 2: platform enough that there's nascent that they could build on. Yeah,

966
00:45:26,200 --> 00:45:27,919
Speaker 2: they could add a lot more features and they could

967
00:45:27,920 --> 00:45:30,359
Speaker 2: make it more useful. It's one of those where don't forget,

968
00:45:30,400 --> 00:45:32,960
Speaker 2: you know, with Twitter, I mean, sure, me and you, Crystal,

969
00:45:33,520 --> 00:45:35,040
Speaker 2: how long did it take for you to really start

970
00:45:35,120 --> 00:45:37,879
Speaker 2: engaging in tweeting? Like, I don't think it was instantaneous,

971
00:45:38,160 --> 00:45:38,600
Speaker 2: you know, for me.

972
00:45:38,680 --> 00:45:40,600
Speaker 1: Running for Congress, I sort of hades. I'm not a

973
00:45:40,680 --> 00:45:41,280
Speaker 1: good example.

974
00:45:41,840 --> 00:45:43,279
Speaker 2: I mean for me, like, you know, I drive and

975
00:45:43,320 --> 00:45:44,480
Speaker 2: I was like, oh, you know, and this is when

976
00:45:44,480 --> 00:45:46,520
Speaker 2: I had, like I had no job even in politics.

977
00:45:46,520 --> 00:45:48,480
Speaker 2: I would send like one tweet a month that was

978
00:45:48,560 --> 00:45:50,680
Speaker 2: like normal, and then you know, eventually start getting into

979
00:45:50,680 --> 00:45:52,160
Speaker 2: It was only until I became a journ like an

980
00:45:52,200 --> 00:45:54,960
Speaker 2: actual employeede journalist, I started tweeting almost every single year.

981
00:45:55,120 --> 00:45:57,440
Speaker 2: So that's one of those where you know, now it's

982
00:45:57,560 --> 00:45:59,200
Speaker 2: it does seem like I've been doing it forever, But

983
00:45:59,560 --> 00:46:01,440
Speaker 2: at the time, whenever I signed up and I didn't

984
00:46:01,440 --> 00:46:02,560
Speaker 2: work or it didn't.

985
00:46:02,320 --> 00:46:04,640
Speaker 3: Have an actual job in politics, it was a little

986
00:46:04,640 --> 00:46:05,040
Speaker 3: bit different.

987
00:46:05,120 --> 00:46:06,759
Speaker 2: So when I think about, like, well, how a normal

988
00:46:06,840 --> 00:46:09,080
Speaker 2: person might engage with the platform, you and I are

989
00:46:09,160 --> 00:46:11,520
Speaker 2: like more much more like super users, or use it

990
00:46:11,560 --> 00:46:13,759
Speaker 2: for more for professional purposes, which is not what the

991
00:46:13,840 --> 00:46:15,680
Speaker 2: vast majority of people do on social media sites.

992
00:46:15,760 --> 00:46:18,359
Speaker 1: Yeah, that's true. So maybe we'll hold on, We'll hold

993
00:46:18,400 --> 00:46:21,040
Speaker 1: on some possibility for threads there. All right, let's talk

994
00:46:21,080 --> 00:46:24,680
Speaker 1: about a new White House free count about Green Party

995
00:46:24,920 --> 00:46:28,719
Speaker 1: candidate Cornell West, who is running for president. He's been

996
00:46:28,800 --> 00:46:30,719
Speaker 1: mixing it up in a bunch of interviews. He's been

997
00:46:30,880 --> 00:46:33,120
Speaker 1: one for a long time, which I always respect about him.

998
00:46:33,120 --> 00:46:35,680
Speaker 1: He will go and talk to anyone, and he's not

999
00:46:36,000 --> 00:46:37,719
Speaker 1: and he doesn't change who he is. By the way,

1000
00:46:37,800 --> 00:46:40,279
Speaker 1: when he goes and talks to Sean Handy on Fox News.

1001
00:46:40,320 --> 00:46:43,840
Speaker 1: He was recently on there mixing it up with Sean

1002
00:46:43,880 --> 00:46:47,160
Speaker 1: Hannity about Trump's father's checkered pass. Let's they go listen

1003
00:46:47,200 --> 00:46:47,360
Speaker 1: to that.

1004
00:46:47,640 --> 00:46:50,440
Speaker 4: Well, you know, well, Trump's his own father has been

1005
00:46:50,560 --> 00:46:53,440
Speaker 4: tied to the Klan. Trump's language about black.

1006
00:46:55,480 --> 00:46:59,880
Speaker 5: I've never heard his father, professor. I've never heard that out,

1007
00:47:00,800 --> 00:47:06,920
Speaker 5: never once of Trump. I ran to be racial jungles.

1008
00:47:08,120 --> 00:47:11,399
Speaker 4: No, my brother, you got we won't go into all

1009
00:47:11,440 --> 00:47:12,759
Speaker 4: of that and now, but I'm not going to say

1010
00:47:12,800 --> 00:47:14,799
Speaker 4: the son has to take the responsibility as the fox.

1011
00:47:14,840 --> 00:47:15,080
Speaker 5: Oh no.

1012
00:47:15,680 --> 00:47:18,200
Speaker 4: We we have empirical evidence of that in terms of

1013
00:47:18,640 --> 00:47:21,120
Speaker 4: not just how he treated black people in Queens, but

1014
00:47:21,239 --> 00:47:24,240
Speaker 4: also the fact that he took him to clan rallies.

1015
00:47:24,320 --> 00:47:25,480
Speaker 3: But this is in the history.

1016
00:47:25,680 --> 00:47:28,480
Speaker 4: But We're not talking about his father, God bless his soul.

1017
00:47:28,719 --> 00:47:32,239
Speaker 4: We're talking about Trump himself. Look for example, the brother

1018
00:47:32,320 --> 00:47:34,719
Speaker 4: Yusef Salaam. You know Usu Salam was one of the

1019
00:47:34,800 --> 00:47:39,759
Speaker 4: central parks of young brothers who was taking to jail.

1020
00:47:39,880 --> 00:47:42,280
Speaker 4: I was blessed to support him. I live in Harlem.

1021
00:47:42,480 --> 00:47:45,480
Speaker 4: He's now my counselman. What did brother Trump say about

1022
00:47:45,560 --> 00:47:47,920
Speaker 4: brother us death penalty?

1023
00:47:48,960 --> 00:47:49,520
Speaker 3: Fair trial?

1024
00:47:49,760 --> 00:47:51,680
Speaker 4: I want a fair trial for Trump. I want a

1025
00:47:51,719 --> 00:47:53,799
Speaker 4: fair trial for Trump. Did he want a fair trial

1026
00:47:53,880 --> 00:47:54,600
Speaker 4: for that black brother?

1027
00:47:54,880 --> 00:47:57,960
Speaker 1: No. Cornell West, doctor West does not pull any punches.

1028
00:47:58,120 --> 00:48:00,520
Speaker 1: And you know, is who he is, regardless of where

1029
00:48:00,640 --> 00:48:03,480
Speaker 1: he finds himself, what platform he finds himself on, and

1030
00:48:04,320 --> 00:48:07,680
Speaker 1: the fact that he has such a large public profile

1031
00:48:08,160 --> 00:48:12,200
Speaker 1: and dedicated following has sort of apparently started to sink

1032
00:48:12,239 --> 00:48:14,000
Speaker 1: into the White House that this could be a problem

1033
00:48:14,040 --> 00:48:15,640
Speaker 1: for them. So let's put this up on the screen

1034
00:48:16,040 --> 00:48:19,320
Speaker 1: from the Atlantic. You've got Mark Leavovich here with the

1035
00:48:19,600 --> 00:48:22,040
Speaker 1: inside the White House Free count. He's got some quotes

1036
00:48:22,080 --> 00:48:26,200
Speaker 1: here from David Axelrod, who, of course former top Obama guy,

1037
00:48:26,880 --> 00:48:29,239
Speaker 1: who says too little attention is being paid to this.

1038
00:48:29,440 --> 00:48:32,759
Speaker 1: Axelrod recently recently gave voice to the gathering Democratic free

1039
00:48:32,800 --> 00:48:36,239
Speaker 1: count when he tweeted out some basic historical parallels. Quote

1040
00:48:36,239 --> 00:48:39,560
Speaker 1: in twenty sixteen, the Green Party played an outsized role

1041
00:48:40,120 --> 00:48:42,680
Speaker 1: in tipping the election to Donald Trump. Now, with Cornell

1042
00:48:42,760 --> 00:48:45,880
Speaker 1: West as their likely nominee, they could easily do it again.

1043
00:48:46,239 --> 00:48:46,399
Speaker 3: Now.

1044
00:48:46,600 --> 00:48:51,040
Speaker 1: Of course, on the Jillstein piece, it's just unbelievable number

1045
00:48:51,120 --> 00:48:54,439
Speaker 1: of excuses they find for their own failures. Once again,

1046
00:48:54,560 --> 00:48:57,239
Speaker 1: Democratic Party can never fail, can only be failed. It's

1047
00:48:57,280 --> 00:48:59,920
Speaker 1: the fault of those damn voters who just didn't do

1048
00:49:00,239 --> 00:49:02,239
Speaker 1: what they were supposed to do, and we will never

1049
00:49:02,400 --> 00:49:05,080
Speaker 1: ever forgive them. But they point out in this piece

1050
00:49:05,200 --> 00:49:08,160
Speaker 1: that Cornell West is kind of in a sense leaning

1051
00:49:08,200 --> 00:49:10,840
Speaker 1: into some of the anxiety here because Jill Stein is

1052
00:49:11,000 --> 00:49:16,120
Speaker 1: actually his campaign manager, which yeah, absolutely, you know. The

1053
00:49:16,200 --> 00:49:18,759
Speaker 1: right up here is you can understand the sensitivities given

1054
00:49:18,840 --> 00:49:21,760
Speaker 1: the history. Democrats still recoil at the name Jill Stein,

1055
00:49:21,840 --> 00:49:24,799
Speaker 1: the Green Party nominee in twenty sixteen, Blah blah blah,

1056
00:49:24,920 --> 00:49:27,399
Speaker 1: pointing out that the amount of votes that she got

1057
00:49:27,680 --> 00:49:30,840
Speaker 1: in key battleground's Michigan, Wisconsin, and Pennsylvania wound up exceeding

1058
00:49:30,880 --> 00:49:34,239
Speaker 1: the margins by which Hillary Clinton lost in those states. Now,

1059
00:49:34,480 --> 00:49:37,160
Speaker 1: I've always thought that this way of thinking about the

1060
00:49:37,200 --> 00:49:39,759
Speaker 1: election and this cope over their own failures and the

1061
00:49:39,800 --> 00:49:42,279
Speaker 1: fact that Hillary Clinton like barely even campaigned in those

1062
00:49:42,320 --> 00:49:44,320
Speaker 1: states and probably would have made things worse if she

1063
00:49:44,440 --> 00:49:47,000
Speaker 1: did campaign in those states. That's always left down of

1064
00:49:47,080 --> 00:49:52,520
Speaker 1: the analysis is always James Comey, Russia, Jill Stein, et cetera. However,

1065
00:49:53,080 --> 00:49:55,040
Speaker 1: you know, I have to do have to say because

1066
00:49:55,160 --> 00:49:58,560
Speaker 1: of who doctor West is and because of the fact

1067
00:49:58,760 --> 00:50:02,759
Speaker 1: that Joe Biden has left himself so vulnerable, especially among

1068
00:50:02,840 --> 00:50:07,520
Speaker 1: young people, with the many failed campaign promises that he made.

1069
00:50:08,000 --> 00:50:09,879
Speaker 1: You know, I do think that they have a real

1070
00:50:10,160 --> 00:50:14,319
Speaker 1: problem on their hands with doctor Cornell West in the race,

1071
00:50:14,480 --> 00:50:16,520
Speaker 1: and with the fact that you know, right now it's

1072
00:50:16,560 --> 00:50:18,239
Speaker 1: already a jump ball with Donald Trump.

1073
00:50:18,280 --> 00:50:20,279
Speaker 2: You know what I don't understand too. You know, I

1074
00:50:20,440 --> 00:50:23,399
Speaker 2: forgot about this discourse. Chill Stein got one point four

1075
00:50:23,480 --> 00:50:26,600
Speaker 2: million votes. Gary Johnson got the point five million. Yeah,

1076
00:50:26,719 --> 00:50:29,560
Speaker 2: So if anybody's Gary, I mean Gary Johnson's fault, or

1077
00:50:29,880 --> 00:50:32,359
Speaker 2: is it that you didn't convince enough people to vote

1078
00:50:32,360 --> 00:50:34,680
Speaker 2: for you. And a lot of these libertarian types presumably

1079
00:50:34,760 --> 00:50:37,919
Speaker 2: they were voting for Gary Johnson because they couldn't stand

1080
00:50:38,000 --> 00:50:40,839
Speaker 2: the idea of voting for a Republican, but they wanted

1081
00:50:40,880 --> 00:50:43,760
Speaker 2: to vote with somebody more aligned with their actual votes.

1082
00:50:43,760 --> 00:50:45,359
Speaker 2: I mean, okay, then you should have made a case

1083
00:50:45,400 --> 00:50:47,600
Speaker 2: that you were the most credible anti Trump candidate, but

1084
00:50:47,760 --> 00:50:48,360
Speaker 2: you didn't.

1085
00:50:48,200 --> 00:50:49,600
Speaker 3: Do that, so you didn't win.

1086
00:50:49,719 --> 00:50:51,600
Speaker 2: I mean at the same time, you know, in terms

1087
00:50:51,640 --> 00:50:54,239
Speaker 2: of the White House problem, I mean, I think they're right,

1088
00:50:54,360 --> 00:50:57,960
Speaker 2: which is Look, Cornell Wesley is a very well known person,

1089
00:50:58,440 --> 00:51:02,680
Speaker 2: specifically Crystal amongst younger lefts, and if those are the

1090
00:51:02,719 --> 00:51:05,719
Speaker 2: type of people who you are the most disgusted with

1091
00:51:05,920 --> 00:51:08,000
Speaker 2: Joe Biden, there's a reason that he's trying to, you know,

1092
00:51:08,080 --> 00:51:10,040
Speaker 2: hammer home student Loan as much as you can right

1093
00:51:10,080 --> 00:51:12,560
Speaker 2: now to try and shore up support amongst them, because

1094
00:51:12,640 --> 00:51:14,680
Speaker 2: most of them have the lowest approval rating of Joe

1095
00:51:14,719 --> 00:51:17,320
Speaker 2: Biden than any other Democratic group. Yeah, you do have

1096
00:51:17,360 --> 00:51:19,520
Speaker 2: a problem, but don't blame Cornell west for that. Yes,

1097
00:51:19,640 --> 00:51:22,120
Speaker 2: your damn fault, Yeah, for not governing it in the right.

1098
00:51:22,080 --> 00:51:22,640
Speaker 3: Way, you know.

1099
00:51:22,760 --> 00:51:25,360
Speaker 1: I think I think this is such an interesting conversation

1100
00:51:25,520 --> 00:51:27,800
Speaker 1: because you know, I'm not a big third party person

1101
00:51:28,040 --> 00:51:30,600
Speaker 1: just because of the nature of the US political system,

1102
00:51:30,680 --> 00:51:32,600
Speaker 1: and so if you actually want to have a shot

1103
00:51:32,920 --> 00:51:35,520
Speaker 1: at really winning the presidency. I think you have a

1104
00:51:35,600 --> 00:51:38,400
Speaker 1: better chance. It's also very difficult, better better chance of

1105
00:51:38,440 --> 00:51:40,879
Speaker 1: taking over one of the two major parties just because

1106
00:51:40,920 --> 00:51:43,560
Speaker 1: of structural first best pose, no rank choice voting, et cetera,

1107
00:51:43,640 --> 00:51:46,719
Speaker 1: et cetera. However, the theory of the case from people

1108
00:51:46,760 --> 00:51:49,239
Speaker 1: who are really into you know, third parties and they're

1109
00:51:49,280 --> 00:51:51,719
Speaker 1: done with the Democratic Party and they're you know, very

1110
00:51:51,800 --> 00:51:54,920
Speaker 1: much planning on voting for Cornell West, is that you

1111
00:51:55,120 --> 00:51:57,399
Speaker 1: have to have a credible threat of withholding your vote

1112
00:51:57,400 --> 00:52:00,760
Speaker 1: from the Democratic Party in order to push them on issues. Now, again,

1113
00:52:01,000 --> 00:52:03,799
Speaker 1: I think that that is actually disproven by the jill

1114
00:52:03,840 --> 00:52:06,759
Speaker 1: Stein example, because even though it's kind of absurd the

1115
00:52:06,840 --> 00:52:09,880
Speaker 1: argument that they make, they really think that jill Stein

1116
00:52:09,960 --> 00:52:12,280
Speaker 1: is the reason that they lost. It did not cause

1117
00:52:12,320 --> 00:52:14,719
Speaker 1: them to feel pressure from their left and cause them

1118
00:52:14,760 --> 00:52:17,720
Speaker 1: to move left. Instead, it caused them to further crush

1119
00:52:17,800 --> 00:52:20,120
Speaker 1: descent and you know, make sure that all of the

1120
00:52:20,840 --> 00:52:23,239
Speaker 1: leftist Democrats that were in Congress were like, you know,

1121
00:52:23,840 --> 00:52:27,000
Speaker 1: got in line and they use whatever tools and tactics

1122
00:52:27,040 --> 00:52:29,480
Speaker 1: they had to sort of crush any sort of vibrant

1123
00:52:29,520 --> 00:52:31,719
Speaker 1: left in the country. So it didn't work out. But

1124
00:52:31,760 --> 00:52:33,840
Speaker 1: that's the theory of the case is you have to

1125
00:52:33,960 --> 00:52:36,600
Speaker 1: have a credible threat that it is going to be

1126
00:52:36,760 --> 00:52:41,200
Speaker 1: politically impactful to Joe Biden the Democrats to run a

1127
00:52:41,280 --> 00:52:44,320
Speaker 1: third party candidate, and so in a sense, the only

1128
00:52:44,440 --> 00:52:46,800
Speaker 1: way that theory works out is if you do have

1129
00:52:46,960 --> 00:52:50,040
Speaker 1: a chance to be a spoiler, you know' that's the

1130
00:52:50,120 --> 00:52:53,400
Speaker 1: whole concept of how power would be wielded in this situation,

1131
00:52:53,640 --> 00:52:56,600
Speaker 1: is that there has to be an idea that if

1132
00:52:56,680 --> 00:52:59,880
Speaker 1: you don't deliver on these priorities for the you know,

1133
00:53:00,160 --> 00:53:04,520
Speaker 1: left activist base that is most most inclined to vote

1134
00:53:04,520 --> 00:53:08,080
Speaker 1: towards Cornell West, that if you don't satisfy their demands,

1135
00:53:08,480 --> 00:53:12,080
Speaker 1: then you are going to lose the election. So in

1136
00:53:12,200 --> 00:53:14,879
Speaker 1: a way, I actually think that, you know, if that's

1137
00:53:14,920 --> 00:53:16,680
Speaker 1: your theory of the case, that's your theory of how

1138
00:53:16,800 --> 00:53:20,200
Speaker 1: power works, then you should in a sense be leaning

1139
00:53:20,239 --> 00:53:22,400
Speaker 1: into the idea that, yeah, you could be a spoiler.

1140
00:53:22,600 --> 00:53:25,000
Speaker 1: If Joe Biden doesn't deliver for these groups, then people

1141
00:53:25,000 --> 00:53:27,040
Speaker 1: are going to vote for Cornell West and you may

1142
00:53:27,120 --> 00:53:29,560
Speaker 1: well lose the election of Donald Trump. And you know,

1143
00:53:29,719 --> 00:53:32,160
Speaker 1: if you are one of those people who was really

1144
00:53:32,200 --> 00:53:34,560
Speaker 1: in the third party camp that you're okay with that

1145
00:53:34,719 --> 00:53:37,239
Speaker 1: being the ultimate outcome because Democrats have so failed to

1146
00:53:37,320 --> 00:53:39,680
Speaker 1: deliver on the basic core promises that they're supposed to

1147
00:53:39,680 --> 00:53:40,000
Speaker 1: stand for.

1148
00:53:40,120 --> 00:53:43,920
Speaker 2: Yeah, I am also deeply usually skeptical of third parties

1149
00:53:44,040 --> 00:53:48,080
Speaker 2: in terms of achieving anything unless they were able to

1150
00:53:48,160 --> 00:53:50,040
Speaker 2: actually receive a real critical mass.

1151
00:53:50,120 --> 00:53:50,799
Speaker 3: It can be done.

1152
00:53:50,880 --> 00:53:52,840
Speaker 2: I mean, look, we had Ross Pero, he won a

1153
00:53:52,920 --> 00:53:55,800
Speaker 2: decent percentage of the vote. He actually did hijack you know,

1154
00:53:55,920 --> 00:53:58,880
Speaker 2: political discourse and in a good way opinion back in

1155
00:53:59,000 --> 00:54:01,840
Speaker 2: nineteen ninety two. But it's been a long time since

1156
00:54:02,000 --> 00:54:04,640
Speaker 2: ninety two. And also he had a tremendous political he

1157
00:54:04,719 --> 00:54:07,319
Speaker 2: had tremendous wealth at his disposal number one two.

1158
00:54:07,480 --> 00:54:09,440
Speaker 3: It was a pretty unique moment.

1159
00:54:09,600 --> 00:54:12,719
Speaker 2: And then also though since then, we saw Trump be

1160
00:54:12,840 --> 00:54:16,040
Speaker 2: able to come in destroy the entire Republican establishment and

1161
00:54:16,120 --> 00:54:18,360
Speaker 2: actually win the nomination and take over the party. So

1162
00:54:18,480 --> 00:54:20,600
Speaker 2: the case of what you're talking about already has a

1163
00:54:20,719 --> 00:54:25,280
Speaker 2: very modern precedent. Third parties who are able to succeed Historically,

1164
00:54:25,400 --> 00:54:28,280
Speaker 2: this has been on a very long time. Happened whenever

1165
00:54:28,360 --> 00:54:32,560
Speaker 2: there is an irreconcilable difference in the actual coalition, And

1166
00:54:33,080 --> 00:54:36,200
Speaker 2: currently I don't see that in the Democratic coalition. I

1167
00:54:36,239 --> 00:54:40,040
Speaker 2: don't think there's anything irreconcilable specifically, given that we are

1168
00:54:40,120 --> 00:54:46,000
Speaker 2: becoming a party of effectively like older black voters, some Hispanics,

1169
00:54:46,320 --> 00:54:49,440
Speaker 2: and then white college educated and not even white college

1170
00:54:49,520 --> 00:54:53,840
Speaker 2: educated college educated voters who predominantly culturally dominate. That actually

1171
00:54:54,000 --> 00:54:57,560
Speaker 2: means that the party is becoming even more coherent really

1172
00:54:57,680 --> 00:55:01,120
Speaker 2: than ever before in terms of its base. In my opinions,

1173
00:55:01,120 --> 00:55:04,640
Speaker 2: actually the Republicans that have a much deeper split, so

1174
00:55:04,719 --> 00:55:08,640
Speaker 2: they're aligned on cultural issues, but economic issues, there is

1175
00:55:08,640 --> 00:55:12,160
Speaker 2: an irreconcilable difference in my view, between the working class

1176
00:55:12,239 --> 00:55:15,279
Speaker 2: voters and then the small business kind of constituency in

1177
00:55:15,400 --> 00:55:18,920
Speaker 2: the multi billionaire Republicans. Trump is able to paper that

1178
00:55:19,040 --> 00:55:22,960
Speaker 2: over somewhat rhetorically, but eventually I do think it will

1179
00:55:23,200 --> 00:55:23,759
Speaker 2: come to a head.

1180
00:55:23,840 --> 00:55:24,920
Speaker 3: So I actually see.

1181
00:55:24,840 --> 00:55:27,600
Speaker 2: More third party potential for a Republican party, or at

1182
00:55:27,680 --> 00:55:29,520
Speaker 2: least some sort of split there than I do over

1183
00:55:29,560 --> 00:55:30,120
Speaker 2: in the Democrat.

1184
00:55:30,280 --> 00:55:32,959
Speaker 1: Like if Trump was able to somehow manage to lose

1185
00:55:33,280 --> 00:55:35,960
Speaker 1: the nomination and or party, you could see how you

1186
00:55:36,040 --> 00:55:37,920
Speaker 1: would get a significantunk of.

1187
00:55:37,880 --> 00:55:39,520
Speaker 3: The Republican if they rigged it against him. I think

1188
00:55:39,560 --> 00:55:40,160
Speaker 3: he would still win.

1189
00:55:40,239 --> 00:55:42,240
Speaker 2: I think he would win forty something fifty something percent

1190
00:55:42,239 --> 00:55:44,360
Speaker 2: of the people who voted in the Republican primary.

1191
00:55:44,440 --> 00:55:47,520
Speaker 1: Yeah, that's a really interesting point. I mean, the last

1192
00:55:47,520 --> 00:55:49,160
Speaker 1: thing I'll say about this is, you know, I got

1193
00:55:49,200 --> 00:55:51,560
Speaker 1: a quote from AOC here when she endorsed Joe Biden,

1194
00:55:51,600 --> 00:55:54,680
Speaker 1: which I think is just so disgraceful. But she pays

1195
00:55:54,920 --> 00:55:57,520
Speaker 1: homage to doctor West. She says he has an incredible

1196
00:55:57,640 --> 00:55:59,520
Speaker 1: history in this country. What he gives voice to is

1197
00:55:59,560 --> 00:56:03,399
Speaker 1: incredible important. But she goes on to say the US

1198
00:56:03,440 --> 00:56:05,160
Speaker 1: has a winner take all system, whether we like it

1199
00:56:05,280 --> 00:56:07,200
Speaker 1: or not. We have to live with that reality, live

1200
00:56:07,280 --> 00:56:09,480
Speaker 1: with Joe Biden, in other words, because the alternative is

1201
00:56:09,719 --> 00:56:13,640
Speaker 1: far worse. Is the clothes to that piece. And you know,

1202
00:56:13,880 --> 00:56:19,640
Speaker 1: I just find it so sad the response from Joe

1203
00:56:19,680 --> 00:56:23,279
Speaker 1: Biden and the Democrats, including AOC to a challenge from

1204
00:56:23,320 --> 00:56:27,600
Speaker 1: their left like Cornell West, because their response isn't let

1205
00:56:27,680 --> 00:56:29,480
Speaker 1: me try to deliver war for this group, let me

1206
00:56:29,520 --> 00:56:31,560
Speaker 1: try to persuade them, let me try to win them over.

1207
00:56:31,800 --> 00:56:34,080
Speaker 1: What are the areas where we may have fallen short?

1208
00:56:34,239 --> 00:56:36,040
Speaker 1: Because at the beginning of the Joe Biden presidency, he

1209
00:56:36,120 --> 00:56:39,200
Speaker 1: had very high approval ratings with young voters, and it

1210
00:56:39,360 --> 00:56:41,520
Speaker 1: was you know, this latter half of the administration when

1211
00:56:41,560 --> 00:56:43,319
Speaker 1: things have really fallen off a cliff, as it has

1212
00:56:43,360 --> 00:56:46,040
Speaker 1: become manifestly clear the number of campaign promises that he's

1213
00:56:46,080 --> 00:56:47,839
Speaker 1: not going to fulfill that we're important to this group

1214
00:56:47,880 --> 00:56:50,800
Speaker 1: of voters. No, no, it's never caused for any self reflection.

1215
00:56:51,000 --> 00:56:54,600
Speaker 1: It's always just like, how do we smear and dismiss

1216
00:56:55,239 --> 00:56:59,680
Speaker 1: and shame. As the podcast broke, the Pods Bros actually said,

1217
00:57:00,160 --> 00:57:03,120
Speaker 1: shame these voters into falling in line. That is always

1218
00:57:03,160 --> 00:57:06,120
Speaker 1: their go to reaction, and you know, we see it

1219
00:57:06,280 --> 00:57:08,160
Speaker 1: very much here in the case of doctor West.

1220
00:57:08,360 --> 00:57:10,920
Speaker 2: Right, all right, well that's I think it's an interesting,

1221
00:57:11,160 --> 00:57:14,400
Speaker 2: you know thing, and it's not going away. And luckily,

1222
00:57:14,680 --> 00:57:17,439
Speaker 2: you know, Cornell West has ballot access to the Green Party,

1223
00:57:17,480 --> 00:57:19,520
Speaker 2: so he made a really smart choice by switching from

1224
00:57:19,560 --> 00:57:22,200
Speaker 2: People's degree. It makes him much more of a credible threat.

1225
00:57:24,640 --> 00:57:26,880
Speaker 2: All right, let's move on UFO. This is a big

1226
00:57:26,920 --> 00:57:29,040
Speaker 2: week for the UFO phenomenon. There's going to be some

1227
00:57:29,160 --> 00:57:32,560
Speaker 2: major hearings in Congress, and before we get to the

1228
00:57:32,640 --> 00:57:36,840
Speaker 2: witnesses of who will be appearing before the House Oversight Committee,

1229
00:57:36,920 --> 00:57:40,360
Speaker 2: there was an extraordinary press conference actually a bipartisan one.

1230
00:57:40,440 --> 00:57:44,120
Speaker 2: Jared Moskovitz and a Paulina Luna and Tim Burchett, Republicans

1231
00:57:44,160 --> 00:57:47,120
Speaker 2: and a Democrat here revealing some of their frustration with

1232
00:57:47,200 --> 00:57:50,000
Speaker 2: the intelligence community about the lack of disclosure, some of

1233
00:57:50,040 --> 00:57:52,240
Speaker 2: the things they hope to get through with the hearings,

1234
00:57:52,320 --> 00:57:55,040
Speaker 2: and also really display how fed up they are with

1235
00:57:55,240 --> 00:57:57,320
Speaker 2: some of the lies and obfuscations that have been made

1236
00:57:57,320 --> 00:57:58,240
Speaker 2: to them by the Pentagon.

1237
00:57:58,440 --> 00:57:59,400
Speaker 3: Here's what they had to say.

1238
00:57:59,560 --> 00:58:02,400
Speaker 6: Next way, July twenty sixth, at ten am, the House

1239
00:58:02,480 --> 00:58:08,360
Speaker 6: Oversight Committee will hold a hearing on unidentified anomalist phenomena UAPs.

1240
00:58:08,520 --> 00:58:11,280
Speaker 6: I've furd call them UFOs. Last year of the House

1241
00:58:11,320 --> 00:58:14,600
Speaker 6: Intelligence Committee held a hearing on UAPs. They brought in

1242
00:58:14,680 --> 00:58:17,920
Speaker 6: some Pentagon bureaucrats to it who only had two answers

1243
00:58:17,960 --> 00:58:20,560
Speaker 6: to the questions they were asked, I don't know, or

1244
00:58:20,640 --> 00:58:24,600
Speaker 6: that's classified. This hearing is going to be different. We're

1245
00:58:24,640 --> 00:58:26,880
Speaker 6: going to have witnesses who can speak frankly to public

1246
00:58:26,920 --> 00:58:29,400
Speaker 6: about their experiences. We've had a heck of a lot

1247
00:58:29,440 --> 00:58:31,800
Speaker 6: of pushback about this hearing. We've had members of Congress

1248
00:58:31,880 --> 00:58:34,360
Speaker 6: who fought us. We've had members of the intelligence community

1249
00:58:34,760 --> 00:58:38,000
Speaker 6: and also the Pentagon. Even NYSA backed out on us.

1250
00:58:38,560 --> 00:58:39,960
Speaker 6: There are a lot of people who don't want this

1251
00:58:40,080 --> 00:58:42,320
Speaker 6: to come to light. I've even tried to introduce it

1252
00:58:42,320 --> 00:58:46,960
Speaker 6: amendment to the Federal Aviation Administration Reauthorization Bill, and all

1253
00:58:47,000 --> 00:58:50,320
Speaker 6: that would do would require the Federal Aviation Administration to

1254
00:58:50,400 --> 00:58:54,760
Speaker 6: report UAP sightings by commercial pilots to Congress. The intelligence

1255
00:58:54,840 --> 00:59:00,760
Speaker 6: I was told the intelligence community shut it down. This isiculous, folks.

1256
00:59:01,520 --> 00:59:04,720
Speaker 6: Either they do exist or they don't exist. They keep

1257
00:59:04,760 --> 00:59:07,360
Speaker 6: telling us they don't exist, but they block every opportunity

1258
00:59:07,640 --> 00:59:09,520
Speaker 6: for us to get a hold of the information to

1259
00:59:09,600 --> 00:59:10,680
Speaker 6: prove that they do exist.

1260
00:59:11,000 --> 00:59:13,160
Speaker 3: So you can see there, he's pretty pissed off.

1261
00:59:13,240 --> 00:59:16,320
Speaker 2: He actually gave an interview to local TV in Knoxville

1262
00:59:16,320 --> 00:59:19,000
Speaker 2: where he expounded on some of these views and on

1263
00:59:19,120 --> 00:59:21,960
Speaker 2: some even more of the obfuscation that's happening behind the scenes.

1264
00:59:22,120 --> 00:59:23,840
Speaker 3: Let's take a listen to what he said. Just to

1265
00:59:23,920 --> 00:59:26,160
Speaker 3: be clear, are you saying what you have seen? Do

1266
00:59:26,280 --> 00:59:30,880
Speaker 3: you think it's something you know international technology.

1267
00:59:30,360 --> 00:59:31,960
Speaker 6: We haven't seen, or do you believe that you have

1268
00:59:32,080 --> 00:59:37,440
Speaker 6: seen videos of extraterrestrial life forms in UFOs. I'm one

1269
00:59:37,520 --> 00:59:41,400
Speaker 6: hundred percent convinced that is not are any of our

1270
00:59:41,440 --> 00:59:45,080
Speaker 6: allies or any of our enemies aircraft that it did

1271
00:59:45,200 --> 00:59:45,840
Speaker 6: not come.

1272
00:59:45,760 --> 00:59:47,680
Speaker 3: From this world. Either it's.

1273
00:59:49,560 --> 00:59:53,440
Speaker 6: From our skunk works, which means it was something they

1274
00:59:53,520 --> 00:59:58,600
Speaker 6: recovered and they reversed engineered, or it is something extraterrestrial.

1275
00:59:59,040 --> 01:00:01,640
Speaker 3: There you go, Crystal. Now, look, I believe there.

1276
01:00:02,040 --> 01:00:05,800
Speaker 2: Tim Burchett is a longtime UFO guy. He knows, he's

1277
01:00:05,920 --> 01:00:08,200
Speaker 2: very well informed. He knows the whole history of Roswell.

1278
01:00:08,440 --> 01:00:10,040
Speaker 2: So you know, if anybody, I'm actually glad to see

1279
01:00:10,080 --> 01:00:11,200
Speaker 2: him on the committee. He is one of the first

1280
01:00:11,240 --> 01:00:13,920
Speaker 2: people to actually push it. But you know, look Anna Poline,

1281
01:00:14,080 --> 01:00:16,440
Speaker 2: these people, I'm presuming you know, she's a former like

1282
01:00:16,560 --> 01:00:19,760
Speaker 2: tpsa activist. I mean, they are getting into this, I

1283
01:00:19,920 --> 01:00:22,880
Speaker 2: think because they genuinely do find cover ups.

1284
01:00:22,920 --> 01:00:23,040
Speaker 1: You know.

1285
01:00:23,120 --> 01:00:26,560
Speaker 2: She's talked also about problems that they've had in Florida

1286
01:00:26,720 --> 01:00:29,880
Speaker 2: trying to have some disclosure requirements Matt Gets is now

1287
01:00:30,120 --> 01:00:32,360
Speaker 2: talking about as well. Like I said, Jared Moskwitz was

1288
01:00:32,400 --> 01:00:36,120
Speaker 2: there behind Tim Burchett, you know, clearly also pushing. We've

1289
01:00:36,120 --> 01:00:38,120
Speaker 2: talked about Andre Carson, who, by the way, I mistakenly

1290
01:00:38,160 --> 01:00:40,480
Speaker 2: sayers from New York is from Indiana. Andre Carson has

1291
01:00:40,520 --> 01:00:44,560
Speaker 2: also talked a little bit about pushing for disclosure. So

1292
01:00:44,680 --> 01:00:48,240
Speaker 2: like in all of these cases, we're seeing Congress get

1293
01:00:48,360 --> 01:00:51,720
Speaker 2: fed up with the official narrative that is being told.

1294
01:00:51,880 --> 01:00:54,080
Speaker 2: Not all of them are believers like Tim Burchett, but

1295
01:00:54,240 --> 01:00:57,520
Speaker 2: many of them actually are willing to hear more. And

1296
01:00:57,600 --> 01:00:59,320
Speaker 2: that's why I think this hearing is so important. So

1297
01:00:59,560 --> 01:01:02,320
Speaker 2: let's put these witness lists up there on the screen.

1298
01:01:02,520 --> 01:01:04,640
Speaker 2: I actually think this is the perfect witness list we

1299
01:01:04,760 --> 01:01:07,520
Speaker 2: have here. Ryan Graves, who's been on the show, the

1300
01:01:07,560 --> 01:01:10,520
Speaker 2: executive director for Americans for Safe Aerospace. He's a former

1301
01:01:10,760 --> 01:01:13,720
Speaker 2: US Navy pilot who has reported multiple sidings and been

1302
01:01:13,760 --> 01:01:15,520
Speaker 2: pushing a lot of disclosure.

1303
01:01:15,240 --> 01:01:16,120
Speaker 3: Within the community.

1304
01:01:16,320 --> 01:01:18,520
Speaker 2: And then a man who I owe a great debt to,

1305
01:01:18,600 --> 01:01:21,439
Speaker 2: even though I've never even met him, Commander David Fraver.

1306
01:01:21,920 --> 01:01:25,840
Speaker 2: I did not really care about UFOs until I listened

1307
01:01:25,880 --> 01:01:29,880
Speaker 2: to Commander David Fraver and his testimony about the Tiktak incident,

1308
01:01:30,320 --> 01:01:34,920
Speaker 2: his personal encounter with the tic Tac object, and also

1309
01:01:35,400 --> 01:01:38,280
Speaker 2: with all of the corresponding evidence that he brings to

1310
01:01:38,360 --> 01:01:41,760
Speaker 2: the table. The corresponding like his co pilot, the people

1311
01:01:41,800 --> 01:01:45,160
Speaker 2: who served with him in the squadron, the level of reporting.

1312
01:01:45,560 --> 01:01:48,120
Speaker 2: He was the first person I ever saw of a

1313
01:01:48,440 --> 01:01:50,920
Speaker 2: genuinely serious US Navy background. I mean, this is a

1314
01:01:51,000 --> 01:01:53,200
Speaker 2: man who and he often said this too. He's like,

1315
01:01:53,240 --> 01:01:56,400
Speaker 2: look I was, I didn't go into this looking for UFOs.

1316
01:01:56,760 --> 01:01:59,640
Speaker 2: He's like, I was training for war in the Gulf

1317
01:02:00,280 --> 01:02:02,160
Speaker 2: when we were off the coast in the Middle Is.

1318
01:02:02,280 --> 01:02:04,320
Speaker 2: And one of the reasons why I didn't think even

1319
01:02:04,400 --> 01:02:06,440
Speaker 2: more about it or take it as seriously at the

1320
01:02:06,520 --> 01:02:07,800
Speaker 2: time was we were at war.

1321
01:02:07,960 --> 01:02:08,720
Speaker 3: I literally had to.

1322
01:02:09,040 --> 01:02:11,320
Speaker 2: I was the commander of a squadron heading into an

1323
01:02:11,360 --> 01:02:14,280
Speaker 2: active war zone. So I am a person you know,

1324
01:02:14,360 --> 01:02:17,280
Speaker 2: with Ryan Graves and with Commander Fravor, these people were

1325
01:02:17,320 --> 01:02:19,360
Speaker 2: put in charge of other pilots. They were put in

1326
01:02:19,440 --> 01:02:22,760
Speaker 2: charge of hundreds of millions of dollars of aircraft equipment. Presumably,

1327
01:02:22,920 --> 01:02:26,720
Speaker 2: like if these people are totally completely nuts, somebody would

1328
01:02:26,720 --> 01:02:28,560
Speaker 2: have flagged it or found it, or they would have

1329
01:02:28,600 --> 01:02:29,720
Speaker 2: acted out in some other way.

1330
01:02:29,920 --> 01:02:31,000
Speaker 3: They are completely normal.

1331
01:02:31,240 --> 01:02:36,200
Speaker 2: They're completely like studious and professional, and you know, in

1332
01:02:36,320 --> 01:02:39,040
Speaker 2: every aspect of their lives except on this one. We

1333
01:02:39,120 --> 01:02:42,120
Speaker 2: want to say that what they're saying is completely insane.

1334
01:02:42,200 --> 01:02:45,080
Speaker 2: And then finally is Dave Grush, who, of course is

1335
01:02:45,160 --> 01:02:50,160
Speaker 2: the former National n RO Officer representative on the UAP

1336
01:02:50,280 --> 01:02:53,160
Speaker 2: Task Force inside of the Pentagon, otherwise known as the whistleblower,

1337
01:02:53,400 --> 01:02:56,680
Speaker 2: who has made extraordinary allegations from that there have been

1338
01:02:56,800 --> 01:02:59,920
Speaker 2: murders that have been committed to cover up the UFO phenomena.

1339
01:03:00,120 --> 01:03:01,280
Speaker 3: I mean, I have to laugh when I hear that,

1340
01:03:01,320 --> 01:03:02,959
Speaker 3: but I mean he says this with a straight face.

1341
01:03:03,280 --> 01:03:05,560
Speaker 2: If they say that his allegations are serious, they're credible

1342
01:03:05,600 --> 01:03:08,240
Speaker 2: that they bear investigation right now. So far we've only

1343
01:03:08,280 --> 01:03:10,880
Speaker 2: gotten that News Max interview with him. He's been very quiet,

1344
01:03:11,120 --> 01:03:13,040
Speaker 2: you know, otherwise in terms of the people that he's

1345
01:03:13,040 --> 01:03:16,200
Speaker 2: spoken to. And here he's going to be testifying under oath. Right,

1346
01:03:16,320 --> 01:03:19,160
Speaker 2: that's serious business. So look to the Pentagon and to

1347
01:03:19,240 --> 01:03:22,080
Speaker 2: all of them. If he's a liar, he's not, we

1348
01:03:22,120 --> 01:03:23,640
Speaker 2: should he should be asked about all of asu in

1349
01:03:23,680 --> 01:03:25,600
Speaker 2: the row. If he's a liar, throw him in jail,

1350
01:03:25,680 --> 01:03:27,800
Speaker 2: then throw him. But if you don't, that tells us

1351
01:03:27,800 --> 01:03:28,880
Speaker 2: a lot too about what.

1352
01:03:28,880 --> 01:03:29,600
Speaker 3: He's going to testify.

1353
01:03:29,600 --> 01:03:32,919
Speaker 1: It's an interesting point, do you think I think part

1354
01:03:33,040 --> 01:03:35,720
Speaker 1: of what is happening here with an increasing number of

1355
01:03:35,800 --> 01:03:38,880
Speaker 1: members of Congress becoming increasingly strident in their demands and

1356
01:03:39,080 --> 01:03:42,120
Speaker 1: you know, really pushing for transparency. You know, it's partly

1357
01:03:42,440 --> 01:03:46,400
Speaker 1: genuine interest, it's partly that they feel stonewalled, and it's

1358
01:03:46,640 --> 01:03:48,560
Speaker 1: you know, it's frustrating to them and to like their

1359
01:03:48,600 --> 01:03:51,520
Speaker 1: ego because they feel like, okay, you have to answer

1360
01:03:51,600 --> 01:03:53,680
Speaker 1: to us. And so the fact that we're not getting

1361
01:03:53,680 --> 01:03:56,800
Speaker 1: straight answers here, it really you know, rubs them the

1362
01:03:56,880 --> 01:03:59,280
Speaker 1: wrong way. So I think that's part of why you're

1363
01:03:59,280 --> 01:04:02,560
Speaker 1: getting this increasing push. The other thing I'm curious about,

1364
01:04:02,640 --> 01:04:06,960
Speaker 1: Sager is we've seen, for example, with the allegations from

1365
01:04:07,160 --> 01:04:10,960
Speaker 1: Dave Gresh, we saw that there was a real reluctance,

1366
01:04:11,000 --> 01:04:13,480
Speaker 1: there was a total blackout in the mainstream press of

1367
01:04:13,600 --> 01:04:16,680
Speaker 1: being willing to actually report out those allegations. And so

1368
01:04:16,920 --> 01:04:19,080
Speaker 1: some you know, people who had done reporting to the

1369
01:04:19,120 --> 01:04:22,960
Speaker 1: New York Times previously on UFOs, they actually had to

1370
01:04:23,000 --> 01:04:25,480
Speaker 1: take it to a different outlet because the Times turn

1371
01:04:25,520 --> 01:04:28,320
Speaker 1: them down, Politico turn them down, Washington Post turned them down.

1372
01:04:28,400 --> 01:04:30,960
Speaker 1: And these were not like weird, wacko fringe reporters. These

1373
01:04:31,000 --> 01:04:33,800
Speaker 1: are mainstream journalists who reported this out and you know,

1374
01:04:33,920 --> 01:04:38,000
Speaker 1: actually were able to bring these allegations forward, but not

1375
01:04:38,200 --> 01:04:40,520
Speaker 1: in any of the mainstream papers. So do you think

1376
01:04:40,600 --> 01:04:44,160
Speaker 1: that having this kind of congressional testimony and inquiry kind

1377
01:04:44,200 --> 01:04:46,400
Speaker 1: of forces the hand of the mainstream press to cover

1378
01:04:46,520 --> 01:04:46,880
Speaker 1: it at all?

1379
01:04:47,000 --> 01:04:48,280
Speaker 3: I would hope. So, I don't know.

1380
01:04:48,720 --> 01:04:50,840
Speaker 2: I have very little faith in these institutions. I mean,

1381
01:04:50,920 --> 01:04:54,080
Speaker 2: we're talking about freaking Leslie Keene here. She literally wrote

1382
01:04:54,120 --> 01:04:57,320
Speaker 2: the twenty seventeen New York Times article with Ralphil mcthal

1383
01:04:57,640 --> 01:05:00,840
Speaker 2: that blew open everything on this top and revealed it

1384
01:05:01,200 --> 01:05:03,520
Speaker 2: to the world. In terms of these videos, I mean,

1385
01:05:03,960 --> 01:05:06,400
Speaker 2: if they are if the Times is willing to ignore

1386
01:05:06,560 --> 01:05:08,920
Speaker 2: somebody that they previously trusted and you know, worked on

1387
01:05:08,960 --> 01:05:12,120
Speaker 2: their behalf for decades, well I think they can ignore

1388
01:05:12,440 --> 01:05:15,000
Speaker 2: a lot. At the same time, a man under oath

1389
01:05:15,080 --> 01:05:18,400
Speaker 2: making these claims, you cannot ignore it, in my opinion.

1390
01:05:19,040 --> 01:05:20,880
Speaker 3: And at the very least, here's the good news.

1391
01:05:21,080 --> 01:05:23,560
Speaker 2: Even if they do, enough people in Congress are fed

1392
01:05:23,680 --> 01:05:26,120
Speaker 2: up about what's going on here that they are still

1393
01:05:26,160 --> 01:05:29,400
Speaker 2: demanding questions. So we've got, you know, this hearing, We've

1394
01:05:29,480 --> 01:05:32,919
Speaker 2: got the Schumer Amendment that is happening inside the US

1395
01:05:33,000 --> 01:05:35,880
Speaker 2: Senate on the topic. You put those two things together

1396
01:05:35,920 --> 01:05:38,640
Speaker 2: and you force legal disclosure or at least alleged legal

1397
01:05:38,680 --> 01:05:42,360
Speaker 2: disclosure in the NDAA combined with this, and maybe we'll

1398
01:05:42,400 --> 01:05:44,680
Speaker 2: eventually get to the truth. But you know, you asked

1399
01:05:44,680 --> 01:05:46,360
Speaker 2: me this last time. Do you think this will actually work?

1400
01:05:46,560 --> 01:05:47,400
Speaker 3: I honestly don't know.

1401
01:05:47,680 --> 01:05:49,280
Speaker 2: Let's from you know, in JFK, we still don't know

1402
01:05:49,280 --> 01:05:53,040
Speaker 2: who killed JFK's been over sixty years since that happened. Also,

1403
01:05:53,360 --> 01:05:56,680
Speaker 2: it's not like being legally required to provide oversight has

1404
01:05:56,720 --> 01:05:59,400
Speaker 2: ever stopped the FBI, the CIA, or the Pentagon from

1405
01:05:59,400 --> 01:06:02,280
Speaker 2: breaking the law before. You know, Usually it takes like

1406
01:06:02,680 --> 01:06:05,520
Speaker 2: it doesn't take a Grush level guy. It takes somebody

1407
01:06:05,640 --> 01:06:09,800
Speaker 2: with direct knowledge with the actual like files. Remember with Grush,

1408
01:06:10,040 --> 01:06:12,680
Speaker 2: he says that he's seen evidence of this through highly

1409
01:06:12,680 --> 01:06:15,400
Speaker 2: classified programs, all that he hasn't actually seen craft or

1410
01:06:15,400 --> 01:06:17,160
Speaker 2: any of these other things with his own eyes.

1411
01:06:17,240 --> 01:06:20,080
Speaker 3: So, you know, who are those people? Where are they?

1412
01:06:20,200 --> 01:06:20,760
Speaker 3: Do they exist?

1413
01:06:21,040 --> 01:06:23,320
Speaker 2: Let's get them before Congress. They don't have to be public,

1414
01:06:23,560 --> 01:06:25,760
Speaker 2: they can even be private whatever. We'll take it as

1415
01:06:25,840 --> 01:06:28,360
Speaker 2: long as somebody tells us a little bit about it afterwards.

1416
01:06:28,440 --> 01:06:29,600
Speaker 3: But Congress, what.

1417
01:06:29,640 --> 01:06:31,800
Speaker 1: Has Grush said about why he decided to come forward?

1418
01:06:32,160 --> 01:06:35,480
Speaker 2: He says they were lying, but He said that Sean Kirkpatrick,

1419
01:06:35,560 --> 01:06:38,720
Speaker 2: the director of the program, the Arrow Program, basically lied

1420
01:06:38,760 --> 01:06:40,920
Speaker 2: before Congress and he felt compelled to come forward and

1421
01:06:40,960 --> 01:06:42,600
Speaker 2: say something, which is the best reason to.

1422
01:06:42,560 --> 01:06:43,240
Speaker 3: Be a whistleblower.

1423
01:06:43,440 --> 01:06:46,000
Speaker 1: Yeah, So you could imagine a situation where, you know,

1424
01:06:46,120 --> 01:06:49,480
Speaker 1: people who have actually seen craft or have additional evidence

1425
01:06:49,520 --> 01:06:53,680
Speaker 1: if such a thing exists, where they feel so outraged

1426
01:06:53,760 --> 01:06:56,160
Speaker 1: by the lies that they see told or by the stonewalling,

1427
01:06:56,200 --> 01:06:59,280
Speaker 1: that potentially that causes more whistleblowers to come forward would

1428
01:06:59,280 --> 01:06:59,920
Speaker 1: be the ideal SI.

1429
01:07:00,680 --> 01:07:03,200
Speaker 2: That would be the ideal scenario, whether it will happen,

1430
01:07:03,240 --> 01:07:05,560
Speaker 2: whether those people exist, where they're alive, Like, I mean,

1431
01:07:05,600 --> 01:07:08,280
Speaker 2: who knows, you know, these things are all compartmentalized in

1432
01:07:08,400 --> 01:07:10,400
Speaker 2: such a way. I think the most extraordinary allegation from

1433
01:07:10,480 --> 01:07:14,600
Speaker 2: Leslie Keene actually is that billions tens of billions of

1434
01:07:14,640 --> 01:07:17,880
Speaker 2: dollars have been spent on crash retrieval programs and are

1435
01:07:17,960 --> 01:07:21,560
Speaker 2: part of a black budget and account for some accounting

1436
01:07:21,640 --> 01:07:22,960
Speaker 2: problems that the Pentagon has.

1437
01:07:23,200 --> 01:07:25,120
Speaker 1: That's why they past the audit.

1438
01:07:25,280 --> 01:07:26,400
Speaker 2: I mean, I don't know if it's going to be

1439
01:07:26,480 --> 01:07:28,160
Speaker 2: you know, eighty percent of the budget or whatever, but

1440
01:07:28,280 --> 01:07:31,720
Speaker 2: it may also it may be more than you actually know. So,

1441
01:07:32,080 --> 01:07:34,919
Speaker 2: as I always say, Transformers is real. All right, let's

1442
01:07:34,960 --> 01:07:39,000
Speaker 2: go to the movie section. Barbenheimer or is it Barbie Heimer?

1443
01:07:39,040 --> 01:07:43,560
Speaker 2: I forget Barbenheim. Barbenheimer, Griffin, come in my ear and

1444
01:07:43,600 --> 01:07:43,800
Speaker 2: tell me.

1445
01:07:44,280 --> 01:07:45,200
Speaker 1: I think it's Barbenheimer.

1446
01:07:45,320 --> 01:07:46,480
Speaker 2: Let's go ahad and put this up there on the

1447
01:07:46,480 --> 01:07:48,600
Speaker 2: screen while I'm awaiting. It is Barbenheimer.

1448
01:07:48,640 --> 01:07:49,240
Speaker 3: Okay, all right?

1449
01:07:49,320 --> 01:07:52,840
Speaker 2: So the weekend box office the two Barbie and Oppenheimer

1450
01:07:53,000 --> 01:07:57,480
Speaker 2: combining for their fourth highest domestic weekend of all time

1451
01:07:57,720 --> 01:08:00,760
Speaker 2: and the best summer weekend on record, the first big

1452
01:08:00,880 --> 01:08:05,800
Speaker 2: smash since April of twenty nineteen, led by Avengers Endgame.

1453
01:08:06,240 --> 01:08:09,760
Speaker 2: So this is a full return to pre pandemic movie levels.

1454
01:08:10,200 --> 01:08:13,720
Speaker 2: It's an extraordinary blockbuster in terms of the combination for

1455
01:08:13,800 --> 01:08:18,240
Speaker 2: the two, for Warner Brothers Studios. And this actually does

1456
01:08:18,320 --> 01:08:22,479
Speaker 2: show you that event movies, that strategy around them can

1457
01:08:22,640 --> 01:08:25,719
Speaker 2: still work. And the reason I love it is neither

1458
01:08:25,760 --> 01:08:28,519
Speaker 2: of these are a damn franchise, Crystal. Neither of these

1459
01:08:28,560 --> 01:08:31,519
Speaker 2: are a sequel. They're both original scripts. And no matter

1460
01:08:31,560 --> 01:08:32,840
Speaker 2: what you think of them, I know you didn't like.

1461
01:08:33,040 --> 01:08:34,519
Speaker 3: The Barbie movie. I did see both.

1462
01:08:34,560 --> 01:08:39,160
Speaker 2: I pulled off the vaunted double feature. I saw Oppenheimer

1463
01:08:39,160 --> 01:08:42,479
Speaker 2: in the morning Barbie at Night. The ability to compel

1464
01:08:42,960 --> 01:08:48,680
Speaker 2: big audiences, big cultural moments on original scripts with studded casts.

1465
01:08:48,880 --> 01:08:50,760
Speaker 3: Is something that a lot of people have been waiting

1466
01:08:50,760 --> 01:08:51,320
Speaker 3: for a long time.

1467
01:08:51,520 --> 01:08:51,640
Speaker 1: You know.

1468
01:08:51,720 --> 01:08:54,439
Speaker 2: Originally we thought Top Gun was a savior of the movies,

1469
01:08:54,479 --> 01:08:57,600
Speaker 2: and I still think Tom Cruise did a tremendous service, you.

1470
01:08:57,600 --> 01:08:59,599
Speaker 3: Know, to people. But at the same time, like Maverick

1471
01:08:59,720 --> 01:09:00,679
Speaker 3: is a number.

1472
01:09:00,439 --> 01:09:04,360
Speaker 2: Two movie, Avatar sequel, both big event movies, all the

1473
01:09:04,439 --> 01:09:05,800
Speaker 2: Marvel ones that have come out in the last two

1474
01:09:05,880 --> 01:09:08,560
Speaker 2: years of garbage in my opinion, especially ant Man. But

1475
01:09:09,000 --> 01:09:14,360
Speaker 2: these original scripts. One is a freaking three hour biopic,

1476
01:09:14,640 --> 01:09:17,160
Speaker 2: you know. The other is you know, I you know,

1477
01:09:17,280 --> 01:09:21,360
Speaker 2: connects to some cultural touchstone in terms of Barbie like

1478
01:09:21,439 --> 01:09:23,679
Speaker 2: something which is an asshold name. But still the ability

1479
01:09:23,720 --> 01:09:26,559
Speaker 2: to compel people to the theater, This is something people

1480
01:09:26,560 --> 01:09:28,519
Speaker 2: have been waiting to see for a long time or

1481
01:09:28,600 --> 01:09:32,320
Speaker 2: returned to, like an actual original script studded cast. The

1482
01:09:32,439 --> 01:09:35,360
Speaker 2: bet that marketing and making a cultural touchstone and all

1483
01:09:35,439 --> 01:09:36,760
Speaker 2: that actually can work.

1484
01:09:36,960 --> 01:09:38,519
Speaker 3: I think it's a big deal for the movies. Yeah,

1485
01:09:38,560 --> 01:09:39,320
Speaker 3: really happy to see it.

1486
01:09:39,600 --> 01:09:42,640
Speaker 1: I do too. In fact, it's so rare now that

1487
01:09:42,720 --> 01:09:47,599
Speaker 1: there's any one like cultural tent pole, like touchstone thing

1488
01:09:47,760 --> 01:09:50,960
Speaker 1: that's happening. It was kind of extraordinary to see, you know.

1489
01:09:51,080 --> 01:09:53,280
Speaker 1: I was actually I was traveling with my mom in

1490
01:09:53,320 --> 01:09:56,400
Speaker 1: Saint Louis when we saw when we saw Barbie, and

1491
01:09:56,960 --> 01:09:59,240
Speaker 1: when we came back the hotel front desk they wanted

1492
01:09:59,280 --> 01:10:02,120
Speaker 1: to talk to like everybody wanted to talk to us

1493
01:10:02,120 --> 01:10:04,519
Speaker 1: about what we'd seen and whether which one of the

1494
01:10:04,560 --> 01:10:06,400
Speaker 1: movies we'd seen and what we thought about it, and

1495
01:10:06,520 --> 01:10:08,000
Speaker 1: whether they were going to go see it or not.

1496
01:10:08,560 --> 01:10:10,600
Speaker 1: And it's just been a long time since there was

1497
01:10:10,720 --> 01:10:14,960
Speaker 1: like a sort of unifying monocultural moment, So that was

1498
01:10:15,000 --> 01:10:17,960
Speaker 1: extraordinary to see. I think your point about the fact

1499
01:10:18,000 --> 01:10:21,000
Speaker 1: that these weren't just like tired retreads of Fast and

1500
01:10:21,120 --> 01:10:24,599
Speaker 1: Furious eighty five or whatever. They actually took a little

1501
01:10:24,640 --> 01:10:27,439
Speaker 1: bit of risk here, I think, especially with Oppenheimer. I mean,

1502
01:10:27,479 --> 01:10:30,960
Speaker 1: Barbie is such a known brand and known quantity, and

1503
01:10:31,200 --> 01:10:34,800
Speaker 1: it's Barbie core esthetic is having a moment and all

1504
01:10:34,880 --> 01:10:36,639
Speaker 1: of that stuff. That to me that one is less

1505
01:10:36,680 --> 01:10:40,960
Speaker 1: of a risk. But Oppenheimer, you know, this weighty, lengthy

1506
01:10:41,360 --> 01:10:45,519
Speaker 1: historical piece that's quite a significant risk, and it's the

1507
01:10:45,600 --> 01:10:47,679
Speaker 1: type of risk that you just don't see movie studios

1508
01:10:47,760 --> 01:10:50,639
Speaker 1: taking all that often. At the same time, it's also

1509
01:10:50,720 --> 01:10:53,880
Speaker 1: a bit of a less Hurrah, at least for a while, because,

1510
01:10:54,040 --> 01:10:58,480
Speaker 1: as you know, actors and writers are out on strike indefinitely.

1511
01:10:58,720 --> 01:11:00,799
Speaker 1: It appears from what we can tell from the outside,

1512
01:11:00,840 --> 01:11:02,040
Speaker 1: and I don't know if you guys check down our

1513
01:11:02,080 --> 01:11:05,840
Speaker 1: interviews with Ron Pearlman and Susan Sarandon and also another woman,

1514
01:11:05,880 --> 01:11:09,280
Speaker 1: Michelle Hurd, who is on the negotiating committee. It appears

1515
01:11:09,320 --> 01:11:11,240
Speaker 1: that the negotiations are not going well and that they're

1516
01:11:11,280 --> 01:11:14,160
Speaker 1: not any we're close to coming to terms, and the

1517
01:11:14,280 --> 01:11:16,360
Speaker 1: actors at least feel like there is a whole lot

1518
01:11:16,439 --> 01:11:18,960
Speaker 1: at stake in these negotiations. So put this up on

1519
01:11:19,040 --> 01:11:20,760
Speaker 1: the screen from the New York Times. I mean, it

1520
01:11:20,840 --> 01:11:24,479
Speaker 1: may be quite a while before we have, you know,

1521
01:11:24,680 --> 01:11:28,400
Speaker 1: another sort of big blockbuster weekend like this. They say,

1522
01:11:28,439 --> 01:11:30,720
Speaker 1: Barbenheimer is a huge Hollywood moment, maybe the last for

1523
01:11:30,800 --> 01:11:33,160
Speaker 1: a while. Big launch of Barbie and Oppenheimer should have

1524
01:11:33,160 --> 01:11:36,360
Speaker 1: been a celebratory moment, but an industry on pause has

1525
01:11:36,479 --> 01:11:40,080
Speaker 1: darkened the mood. And this really comes down to, you know,

1526
01:11:40,120 --> 01:11:41,400
Speaker 1: a lot of what we were talking about in the

1527
01:11:41,439 --> 01:11:43,960
Speaker 1: sort of tech section of the show. That the business

1528
01:11:44,080 --> 01:11:47,840
Speaker 1: model has so changed and the stakes for actors and

1529
01:11:47,880 --> 01:11:50,320
Speaker 1: writers are so high in terms of being able to

1530
01:11:50,800 --> 01:11:53,479
Speaker 1: make sure that they are able to participate in the

1531
01:11:53,560 --> 01:11:57,400
Speaker 1: future success even to a small degree going forward, that

1532
01:11:57,600 --> 01:12:00,000
Speaker 1: you could see the strike dragging out for quite some time.

1533
01:12:00,439 --> 01:12:02,960
Speaker 2: Oh yeah, I mean, in terms, that's always the caveat

1534
01:12:03,040 --> 01:12:04,960
Speaker 2: that we have to give. It's also you know, there's

1535
01:12:05,000 --> 01:12:08,080
Speaker 2: some interesting stuff that's kind of happening behind the scenes.

1536
01:12:08,200 --> 01:12:11,479
Speaker 2: I saw that many Hollywood stars are very concerned that

1537
01:12:11,560 --> 01:12:13,560
Speaker 2: their brand is going to take a dump on the

1538
01:12:13,640 --> 01:12:15,840
Speaker 2: Q score. Qscore is like there, what is it like

1539
01:12:15,920 --> 01:12:18,080
Speaker 2: the way that people feel about you. Yeah, in terms

1540
01:12:18,080 --> 01:12:21,439
Speaker 2: of anyway like advertisers stuff like that, they're the ones

1541
01:12:21,439 --> 01:12:24,200
Speaker 2: who pronominately. So they are all thinking about ways to

1542
01:12:24,280 --> 01:12:27,880
Speaker 2: become TikTok influencers, and they're going to lean very heavily

1543
01:12:27,960 --> 01:12:31,200
Speaker 2: into like Instagram content and to YouTube content and all

1544
01:12:31,280 --> 01:12:34,400
Speaker 2: that to keep themselves culturally relevant and still.

1545
01:12:34,240 --> 01:12:35,080
Speaker 3: In the public eye.

1546
01:12:35,360 --> 01:12:37,120
Speaker 2: So things very much I think are going to move,

1547
01:12:37,200 --> 01:12:40,240
Speaker 2: you know, towards the whole creator sphere. But it's also

1548
01:12:40,320 --> 01:12:42,240
Speaker 2: going to be difficult for them because they they can't

1549
01:12:42,320 --> 01:12:44,719
Speaker 2: violate you know, the sad guidelines in terms of promoting

1550
01:12:45,080 --> 01:12:47,439
Speaker 2: old work and stuff like that. We also found a

1551
01:12:47,560 --> 01:12:50,240
Speaker 2: crystal this map if people want to take a look

1552
01:12:50,280 --> 01:12:53,639
Speaker 2: in terms of the cultural difference between bar between who

1553
01:12:53,840 --> 01:12:56,000
Speaker 2: liked Barbie or not. Who put this up there on

1554
01:12:56,040 --> 01:12:58,960
Speaker 2: the screen, please, So this shows an electoral map on

1555
01:12:59,040 --> 01:13:03,320
Speaker 2: the left show Democrats and Republicans that are like basically

1556
01:13:03,439 --> 01:13:06,560
Speaker 2: like hard red states, hard blue states, along with the

1557
01:13:06,680 --> 01:13:11,120
Speaker 2: favorability rating of is Oppenheimer trending or is Barbie trending

1558
01:13:11,520 --> 01:13:12,520
Speaker 2: in the states.

1559
01:13:12,320 --> 01:13:13,000
Speaker 3: Of the US.

1560
01:13:13,560 --> 01:13:16,360
Speaker 2: And I don't know, Krystal, what do you make of this?

1561
01:13:16,640 --> 01:13:19,000
Speaker 2: I mean in terms and let's explain for the people

1562
01:13:19,000 --> 01:13:19,559
Speaker 2: who are watching.

1563
01:13:20,840 --> 01:13:23,240
Speaker 1: Oh so, first of all, just a caveat that we

1564
01:13:23,400 --> 01:13:25,439
Speaker 1: like pulled these off. I've read it and have not

1565
01:13:25,640 --> 01:13:29,160
Speaker 1: verified them ourselves, so but figured it was like low

1566
01:13:29,200 --> 01:13:32,360
Speaker 1: stakes enough for us to tip over without actually going

1567
01:13:32,400 --> 01:13:35,479
Speaker 1: in and state by state checking that this was accurate. However,

1568
01:13:35,560 --> 01:13:40,240
Speaker 1: you cannot help but notice a stunning similarity between the

1569
01:13:40,840 --> 01:13:45,120
Speaker 1: electoral map. The red states were Barbie states overwhelmingly, I mean,

1570
01:13:45,160 --> 01:13:49,400
Speaker 1: the way it matters is actually pretty stunning. The blue

1571
01:13:49,439 --> 01:13:52,760
Speaker 1: states that went for Joe Biden in twenty twenty were

1572
01:13:53,000 --> 01:13:56,000
Speaker 1: much more likely to be Oppenheimer states. And then the

1573
01:13:56,120 --> 01:13:58,360
Speaker 1: other thing that is crazy is there are a few states.

1574
01:13:58,520 --> 01:14:03,040
Speaker 1: So Minnesota was skan in, Michigan and Pennsylvania, which of

1575
01:14:03,120 --> 01:14:08,120
Speaker 1: course are all key swing states, were like perfectly split

1576
01:14:08,720 --> 01:14:12,040
Speaker 1: between Barbie and Oppenheimer. Now there are a few outliers,

1577
01:14:12,240 --> 01:14:15,679
Speaker 1: so Wyoming not a swing state but also was evenly divided,

1578
01:14:15,720 --> 01:14:20,000
Speaker 1: Nebraska not really a swing state. And Georgia, even though

1579
01:14:20,160 --> 01:14:22,640
Speaker 1: it was a Biden state this time around, it was

1580
01:14:22,680 --> 01:14:25,000
Speaker 1: also a Barbie state. So it's not like it lines

1581
01:14:25,040 --> 01:14:28,280
Speaker 1: up one hundred percent. But I do think it's pretty

1582
01:14:29,080 --> 01:14:32,439
Speaker 1: pretty funny, pretty remarkable, And you know, I guess I

1583
01:14:32,520 --> 01:14:36,240
Speaker 1: feel like Oppenheimer probably appeals to more like NPR type crowd,

1584
01:14:37,400 --> 01:14:40,200
Speaker 1: so like the college educated well, although I feel like

1585
01:14:40,240 --> 01:14:43,000
Speaker 1: the college educated white lib also probably loved Barbie more

1586
01:14:43,080 --> 01:14:46,000
Speaker 1: than anyone else. But you know, in the audience that

1587
01:14:46,120 --> 01:14:48,480
Speaker 1: I was in, in this like working class black neighborhood

1588
01:14:48,600 --> 01:14:52,439
Speaker 1: in Saint Louis, Missouri, people didn't come to Barbie for

1589
01:14:52,760 --> 01:14:56,120
Speaker 1: the like, you know, some sort of like radical feminist message.

1590
01:14:56,240 --> 01:14:59,000
Speaker 1: They brought their little girls in Barbie merch because their

1591
01:14:59,000 --> 01:15:03,880
Speaker 1: little girls love and so I and they hated the

1592
01:15:03,960 --> 01:15:07,000
Speaker 1: movie by the way. They were like appalled and about

1593
01:15:07,040 --> 01:15:09,560
Speaker 1: to revolt by the end of this movie because I

1594
01:15:09,600 --> 01:15:12,000
Speaker 1: don't think it was what they expected. They thought this

1595
01:15:12,160 --> 01:15:14,400
Speaker 1: was going to be, you know, a fun kids movie.

1596
01:15:14,479 --> 01:15:16,960
Speaker 1: It was wildly inaproperf because I'll save my commentary for

1597
01:15:17,160 --> 01:15:20,839
Speaker 1: my monologue. But to me, that's more of like Barbie

1598
01:15:21,000 --> 01:15:27,320
Speaker 1: is the widespread mainstream cultural touchdown, you know, product and so,

1599
01:15:28,439 --> 01:15:31,320
Speaker 1: and Oppenheimer is, you know, the historical think piece. So yeah,

1600
01:15:31,320 --> 01:15:33,080
Speaker 1: I think it's more of an NPR crowd that goes

1601
01:15:33,120 --> 01:15:35,080
Speaker 1: to Oppenheimer. And so it would make some sense to

1602
01:15:35,160 --> 01:15:36,960
Speaker 1: me that it's like the more liberal states that are

1603
01:15:37,000 --> 01:15:37,280
Speaker 1: into it.

1604
01:15:37,479 --> 01:15:39,360
Speaker 3: I was thinking that, saying it's possible.

1605
01:15:39,439 --> 01:15:42,519
Speaker 2: I also was wondering whenever it comes to the R

1606
01:15:42,680 --> 01:15:45,160
Speaker 2: rating on Oppenheimer, I'm like, well maybe then you know,

1607
01:15:45,240 --> 01:15:47,640
Speaker 2: the more child the less children that you have, or

1608
01:15:47,720 --> 01:15:50,120
Speaker 2: like you know, the more childless than you probably more

1609
01:15:50,200 --> 01:15:52,920
Speaker 2: likely se oppen Hour first like me, or you know,

1610
01:15:53,000 --> 01:15:54,439
Speaker 2: if you do have kids, like if you're going to

1611
01:15:54,520 --> 01:15:56,439
Speaker 2: go see one movie, then your kids are going to

1612
01:15:56,479 --> 01:15:58,439
Speaker 2: be like, no, We're going to go see the Barbie movie.

1613
01:15:58,720 --> 01:16:00,320
Speaker 2: I saw a lot of people like parents who are

1614
01:16:00,360 --> 01:16:02,599
Speaker 2: like want to see Oppenheimer. But you know, got these

1615
01:16:02,680 --> 01:16:04,840
Speaker 2: three to contend, like three.

1616
01:16:04,800 --> 01:16:08,040
Speaker 1: Children don't Barbie either, by the way, Yes, well we.

1617
01:16:09,800 --> 01:16:12,080
Speaker 3: Go out there. So I think that might be one explanation.

1618
01:16:12,160 --> 01:16:12,760
Speaker 3: I mean, who knows.

1619
01:16:13,080 --> 01:16:14,880
Speaker 2: There's a lot that's going on here. I just think

1620
01:16:14,920 --> 01:16:17,759
Speaker 2: it's fun that we all have something that we can discuss.

1621
01:16:17,920 --> 01:16:20,519
Speaker 2: It's been a long time, you know, since I'm trying

1622
01:16:20,560 --> 01:16:22,439
Speaker 2: to think, and especially even if you look at the

1623
01:16:22,520 --> 01:16:25,160
Speaker 2: data that was in this box office time, this box

1624
01:16:25,200 --> 01:16:27,639
Speaker 2: office pro piece that we were looking at. So for example,

1625
01:16:28,439 --> 01:16:32,960
Speaker 2: the previous big weekends that happened were Avengers Endgame, Star Wars,

1626
01:16:33,040 --> 01:16:35,960
Speaker 2: The Force Awakens, and Avengers Infinity War. So we've got,

1627
01:16:36,240 --> 01:16:39,240
Speaker 2: you know, franchises in every single one of basically all

1628
01:16:39,560 --> 01:16:43,040
Speaker 2: Disney products. In terms of Barbie is actually the number

1629
01:16:43,120 --> 01:16:46,280
Speaker 2: five July opening of all time. Number one was the

1630
01:16:46,360 --> 01:16:49,679
Speaker 2: twenty nineteen The Lion King Terrible reboot.

1631
01:16:49,720 --> 01:16:52,240
Speaker 3: I'm just gonna say that. Really it's the live action.

1632
01:16:52,680 --> 01:16:53,840
Speaker 1: Yeah, I like the live action.

1633
01:16:54,400 --> 01:16:56,400
Speaker 3: I don't like live action Disney. It just feels cheap

1634
01:16:56,439 --> 01:16:56,600
Speaker 3: to me.

1635
01:16:56,640 --> 01:17:00,639
Speaker 2: I'm like, really, give me a freaking original Stopped twenty eleven.

1636
01:17:00,640 --> 01:17:03,360
Speaker 2: Harry Potter and The Deathly Hallows twenty twelve, The Dark

1637
01:17:03,400 --> 01:17:05,000
Speaker 2: Knight Rises, and then two thousand and eight in the

1638
01:17:05,080 --> 01:17:07,639
Speaker 2: Dark Knights so too Kristen Nolan properties and number fove

1639
01:17:08,160 --> 01:17:11,040
Speaker 2: below there also in terms of the all time list,

1640
01:17:11,160 --> 01:17:13,080
Speaker 2: you know, other ones that previously had done well were

1641
01:17:13,200 --> 01:17:16,120
Speaker 2: Catching Fire, Rogue one Man Rogue one was a great movie,

1642
01:17:16,160 --> 01:17:18,280
Speaker 2: as much as I don't like some of these like

1643
01:17:18,400 --> 01:17:21,840
Speaker 2: big reboots, and then also The Hunger Games and Captain Marvel.

1644
01:17:21,920 --> 01:17:23,400
Speaker 2: So whenever we started to look at it, you know,

1645
01:17:23,479 --> 01:17:26,479
Speaker 2: within that context, clearly these are doing very well. The

1646
01:17:26,560 --> 01:17:29,799
Speaker 2: other fascinating thing here is that Barbie's audience was sixty

1647
01:17:30,160 --> 01:17:35,880
Speaker 2: five percent female, compared to most other big openings, very rare.

1648
01:17:36,120 --> 01:17:38,479
Speaker 2: Even Beauty and the Beast and Little Mermaid or sorry,

1649
01:17:38,600 --> 01:17:40,400
Speaker 2: Little Mermaid had sixty eight percent, but Beauty and the

1650
01:17:40,439 --> 01:17:43,360
Speaker 2: Beast only was able to draw sixty. And for Captain

1651
01:17:43,400 --> 01:17:45,559
Speaker 2: Marvel and for Wonder Woman, even so called like female

1652
01:17:45,640 --> 01:17:48,360
Speaker 2: centric films, those were almost fifty to fifty in terms

1653
01:17:48,400 --> 01:17:49,120
Speaker 2: of female and male.

1654
01:17:49,320 --> 01:17:53,560
Speaker 1: Yes, interesting, very interesting Griffin messages, and he follows the

1655
01:17:54,040 --> 01:17:57,160
Speaker 1: La Hollywood stuff closer than certainly I do. The studios

1656
01:17:57,200 --> 01:17:59,599
Speaker 1: are going to fill in the gap during the strike

1657
01:17:59,680 --> 01:18:02,880
Speaker 1: with terrible shelved movies, so things they already made but

1658
01:18:02,960 --> 01:18:05,200
Speaker 1: were like, we can't put the sound of the public.

1659
01:18:05,520 --> 01:18:07,080
Speaker 1: They're gonna be like, I guess we're gonna pull it

1660
01:18:07,080 --> 01:18:09,080
Speaker 1: off the shelf and put it onto the public after all,

1661
01:18:09,120 --> 01:18:11,760
Speaker 1: because we got nothing else, and they're gonna buy more

1662
01:18:11,960 --> 01:18:14,320
Speaker 1: indie films. So that's how they'll kind of fill in

1663
01:18:14,360 --> 01:18:16,360
Speaker 1: the gaps. Interesting to see.

1664
01:18:16,520 --> 01:18:17,599
Speaker 3: I love great indie films.

1665
01:18:17,640 --> 01:18:20,000
Speaker 1: I do want to say Kyle had a different theory

1666
01:18:20,200 --> 01:18:23,679
Speaker 1: of the electoral map, which is because there has been

1667
01:18:23,920 --> 01:18:29,200
Speaker 1: a real conservative backlash against Barbie, you know, Ben Shapier, like, there's.

1668
01:18:31,040 --> 01:18:31,880
Speaker 3: Actually that's what.

1669
01:18:31,920 --> 01:18:33,640
Speaker 1: I don't really buy it either in terms of just

1670
01:18:33,720 --> 01:18:35,720
Speaker 1: like normy people and what they're searching for and what

1671
01:18:35,800 --> 01:18:37,200
Speaker 1: movies they're going to see. I don't buy it either,

1672
01:18:37,240 --> 01:18:39,439
Speaker 1: But that was his His instant reaction is like, oh,

1673
01:18:39,479 --> 01:18:52,560
Speaker 1: maybe this they're searching for Barbie because they hate barbiejection.

1674
01:18:47,560 --> 01:18:49,880
Speaker 2: Yours review it's got one point one million views. I mean,

1675
01:18:49,960 --> 01:18:51,880
Speaker 2: that's good for a YouTube video, but that's not.

1676
01:18:52,080 --> 01:18:58,840
Speaker 3: Like everybody everybody hates it. I don't think so, Crystal,

1677
01:18:58,920 --> 01:18:59,880
Speaker 3: what do you take a look at.

1678
01:19:00,200 --> 01:19:02,800
Speaker 1: Folks, Let's talk Barbie. Now, the first thing you should

1679
01:19:02,840 --> 01:19:05,240
Speaker 1: know is I was really sharing for this movie for real.

1680
01:19:05,439 --> 01:19:07,760
Speaker 1: I like the Barbie core aesthetic. It was fun to

1681
01:19:07,800 --> 01:19:10,320
Speaker 1: see this whole big cultural moment around it, which isn't

1682
01:19:10,360 --> 01:19:12,680
Speaker 1: really a thing that happens very often anymore. And just

1683
01:19:12,800 --> 01:19:14,920
Speaker 1: before I went in, I saw Ben Shapiro whining on

1684
01:19:14,960 --> 01:19:16,840
Speaker 1: Twitter about how his producers made him see and it

1685
01:19:16,920 --> 01:19:18,720
Speaker 1: was so woke and terrible, blah blah blah. So of

1686
01:19:18,800 --> 01:19:21,320
Speaker 1: course I really wanted him to be completely wrong. But

1687
01:19:21,439 --> 01:19:24,880
Speaker 1: as it dragged on an interminable two hours of dated,

1688
01:19:25,000 --> 01:19:31,200
Speaker 1: predictable contrivances, the verdict became undeniable. The Barbie movie is atrocious.

1689
01:19:31,520 --> 01:19:31,720
Speaker 3: Look.

1690
01:19:32,439 --> 01:19:35,719
Speaker 1: I am all for creative content with a good political message.

1691
01:19:35,800 --> 01:19:38,800
Speaker 1: White Lotus loved it, Squid Game loved it. I'm all

1692
01:19:38,880 --> 01:19:41,120
Speaker 1: for a kid's orient and movie that has jokes that

1693
01:19:41,240 --> 01:19:44,679
Speaker 1: go over the kids' heads. Legos movies, for example, genuinely

1694
01:19:44,760 --> 01:19:47,800
Speaker 1: funny some real political undertones, or The Lorax, which is

1695
01:19:47,880 --> 01:19:50,800
Speaker 1: more overtly political but still succeeds as a great kids movie.

1696
01:19:51,160 --> 01:19:53,360
Speaker 1: My kids can sing every line from Let It Grow,

1697
01:19:53,400 --> 01:19:55,880
Speaker 1: and therefore, for better or worse, so can I. This

1698
01:19:56,080 --> 01:20:00,120
Speaker 1: movie was not funny or entertaining or family friendly. I

1699
01:20:00,240 --> 01:20:02,400
Speaker 1: breathed a sigh of relief that I was out of

1700
01:20:02,439 --> 01:20:04,280
Speaker 1: town so I did not make the mistake of bringing

1701
01:20:04,320 --> 01:20:06,559
Speaker 1: my six year old and having to explain jokes about

1702
01:20:06,600 --> 01:20:10,880
Speaker 1: penises and guidencological exams. It was mildly horrifying to sit

1703
01:20:10,960 --> 01:20:13,960
Speaker 1: alongside little girls in their Barbie merch as they suffered

1704
01:20:13,960 --> 01:20:17,160
Speaker 1: through vulgar humor and a plot that was completely impenetrable

1705
01:20:17,200 --> 01:20:20,480
Speaker 1: for the kids while still managing to be thoroughly predictable

1706
01:20:20,520 --> 01:20:22,800
Speaker 1: for all of the grown ups. No star actor or

1707
01:20:22,920 --> 01:20:26,240
Speaker 1: immaculate set design was going to rescue this mess, all right.

1708
01:20:26,400 --> 01:20:29,200
Speaker 1: So here's the basic plot, and it is basic as hell.

1709
01:20:29,280 --> 01:20:32,360
Speaker 1: It's roughly as follows. Barbie lives in a girl power

1710
01:20:32,479 --> 01:20:35,479
Speaker 1: utopia of Barbieland with all the various iterations of Barbie

1711
01:20:35,520 --> 01:20:39,360
Speaker 1: and alongside her erswhyle superfluous male Ken. Then she starts

1712
01:20:39,400 --> 01:20:42,200
Speaker 1: to lose her barbinous, suffering thoughts of death, losing her

1713
01:20:42,280 --> 01:20:45,040
Speaker 1: trademark high heel, ready arched feet, developing a patch of

1714
01:20:45,120 --> 01:20:47,519
Speaker 1: cellulight on one thigh, so she has told she must

1715
01:20:47,560 --> 01:20:49,600
Speaker 1: travel to the real world in order to fix this,

1716
01:20:49,800 --> 01:20:52,360
Speaker 1: where she is shocked by the patriarchy, but Ken he

1717
01:20:52,520 --> 01:20:55,800
Speaker 1: is enamored with it. He makes Barbieland a patriarchy where

1718
01:20:55,920 --> 01:20:59,120
Speaker 1: dudes do the most stereotypical activities imaginable and women run

1719
01:20:59,160 --> 01:21:02,720
Speaker 1: around in playboy outfits. Barbie then returns alongside her new

1720
01:21:02,840 --> 01:21:05,760
Speaker 1: sassy human companions. They put upon Mom and an angsty tween.

1721
01:21:06,080 --> 01:21:08,800
Speaker 1: The three of them overthrow Ken and resubjugate him. But

1722
01:21:08,920 --> 01:21:11,360
Speaker 1: Barbie decides all of this barbie dumb perfection is no

1723
01:21:11,439 --> 01:21:13,880
Speaker 1: longer for her. She's going to become a real girl,

1724
01:21:13,960 --> 01:21:16,800
Speaker 1: embrace the complicated reality of the real world, and presumably

1725
01:21:16,960 --> 01:21:19,800
Speaker 1: climb the corporate ladder late stage girl boss stuff. Cheryl

1726
01:21:19,840 --> 01:21:22,479
Speaker 1: Sandberg would be so proud now. The whole thing is

1727
01:21:22,600 --> 01:21:25,080
Speaker 1: way too preachy to be enjoyable or even to really

1728
01:21:25,120 --> 01:21:28,200
Speaker 1: be very effective as propaganda. It's sort of like Ai

1729
01:21:28,400 --> 01:21:31,600
Speaker 1: wrote a screenplay based on twenty ten's White Feminism, Not

1730
01:21:31,720 --> 01:21:34,759
Speaker 1: to mention the radicalism level is firmly set on safe

1731
01:21:34,920 --> 01:21:37,120
Speaker 1: for the army of brands that are raking in money

1732
01:21:37,200 --> 01:21:39,760
Speaker 1: off of this crap. It's a dumb person's idea of

1733
01:21:39,800 --> 01:21:43,160
Speaker 1: a smart movie, a liberals idea of a revolutionary message.

1734
01:21:43,560 --> 01:21:45,920
Speaker 1: One might ask why Mattel, which used to associate with

1735
01:21:45,960 --> 01:21:48,360
Speaker 1: the movie that was basically made by someone who clearly

1736
01:21:48,400 --> 01:21:50,960
Speaker 1: hates their product. The answer is obvious in the film

1737
01:21:51,000 --> 01:21:56,400
Speaker 1: because it never strays beyond the surface level consumer friendly critique. Basically, yes,

1738
01:21:56,760 --> 01:22:00,200
Speaker 1: we realize Barbie's body and ethos was unobtainable, Well we

1739
01:22:00,280 --> 01:22:02,360
Speaker 1: fix it now so you can go out buy our

1740
01:22:02,360 --> 01:22:04,720
Speaker 1: products for your little girls. And it's basically like you're

1741
01:22:04,720 --> 01:22:07,680
Speaker 1: fighting with patriarchy. There is one throwaway line from the

1742
01:22:07,720 --> 01:22:11,160
Speaker 1: Angsty Tween about Barbie promoting consumerism, but you can't really

1743
01:22:11,200 --> 01:22:13,559
Speaker 1: take it seriously given the context that the whole movie

1744
01:22:13,640 --> 01:22:16,560
Speaker 1: roll out is a hyper capitalist wet dream. According to

1745
01:22:16,680 --> 01:22:20,639
Speaker 1: Hollywood Reporter, Barbie's attracted more than one hundred promotional partners

1746
01:22:20,680 --> 01:22:23,799
Speaker 1: worth tens of millions of dollars to Mattel, from custom

1747
01:22:23,880 --> 01:22:26,599
Speaker 1: pink crocs to a product clothing line, to hair dryers

1748
01:22:26,640 --> 01:22:29,679
Speaker 1: and everything in between. Merchants and brands rushed to cash

1749
01:22:29,760 --> 01:22:32,560
Speaker 1: in on Barbie Mania, while companies including Progressive Insurance and

1750
01:22:32,640 --> 01:22:36,200
Speaker 1: General Motors use Barbie and custom TV and digital advertisements.

1751
01:22:36,520 --> 01:22:41,360
Speaker 1: Per Hollywood Reporter, Warner Brothers Discovery CEO David Saslov promoted

1752
01:22:41,400 --> 01:22:45,400
Speaker 1: Barbie across his various properties, including an HGTV Barbie design

1753
01:22:45,439 --> 01:22:48,000
Speaker 1: competition low key sounds more interesting to me than the movie.

1754
01:22:48,320 --> 01:22:52,120
Speaker 1: A food network, Barbie bakeoff, and Barbie promotion graphics generally

1755
01:22:52,160 --> 01:22:56,080
Speaker 1: sprinkled across fifteen different networks. Turns out the patriarchy Barbie

1756
01:22:56,080 --> 01:22:59,040
Speaker 1: and siss she's subverting is getting wildly rich off her

1757
01:22:59,120 --> 01:23:02,560
Speaker 1: dated girl power latitudes and merchandise. The real moral of

1758
01:23:02,600 --> 01:23:04,680
Speaker 1: the Barbie movie for me is that you can make

1759
01:23:04,760 --> 01:23:06,960
Speaker 1: a dogshit movie and still make a fortune with the

1760
01:23:07,040 --> 01:23:09,640
Speaker 1: right marketing strategy, quite the opposite of go woke and

1761
01:23:09,720 --> 01:23:12,439
Speaker 1: go broke. I suppose in the resolution of the film,

1762
01:23:12,640 --> 01:23:16,320
Speaker 1: Barbie rejects her iconic ultra femme look for a sensible

1763
01:23:16,360 --> 01:23:19,760
Speaker 1: blazer and pale pink birkenstocks, signaling to all the young

1764
01:23:19,840 --> 01:23:21,799
Speaker 1: girls and women out there that to be an evolved,

1765
01:23:22,080 --> 01:23:24,599
Speaker 1: complex woman, you should take off some of the sparkle,

1766
01:23:24,920 --> 01:23:28,439
Speaker 1: hide your curves, limit the glam modese's hottest ladies. An

1767
01:23:28,479 --> 01:23:30,759
Speaker 1: odd fit for a moment when young girls are joyfully

1768
01:23:30,840 --> 01:23:34,400
Speaker 1: embracing and reclaiming the Barbie aesthetic, not out of repression,

1769
01:23:34,560 --> 01:23:36,880
Speaker 1: but actually out of power. As my fifteen year old

1770
01:23:36,920 --> 01:23:39,840
Speaker 1: informed me, Hy two k Bimbo is in and why

1771
01:23:39,880 --> 01:23:42,160
Speaker 1: shouldn't it be? In the Year of Our Lord twenty

1772
01:23:42,200 --> 01:23:44,600
Speaker 1: twenty three, we got deeper issues than whether or not

1773
01:23:44,760 --> 01:23:47,519
Speaker 1: Barbie's tits are out okay, and more fundamental issues than

1774
01:23:47,560 --> 01:23:50,760
Speaker 1: the diversity ratios on corporate boards. While they are systematically

1775
01:23:50,840 --> 01:23:54,360
Speaker 1: busting unions, growing workers and buying off politicians and speaking

1776
01:23:54,400 --> 01:23:57,880
Speaker 1: of that, a far more profound and revolutionary message is

1777
01:23:57,920 --> 01:24:00,439
Speaker 1: being sent to studios like Warner Brothers by the actors

1778
01:24:00,520 --> 01:24:03,200
Speaker 1: and writers who are on strike right now, demanding a

1779
01:24:03,360 --> 01:24:06,000
Speaker 1: small sliver of the vast wealth created by their work.

1780
01:24:06,400 --> 01:24:08,519
Speaker 1: So here's my advice for what it's worth. If you

1781
01:24:08,600 --> 01:24:11,200
Speaker 1: really want to mess with a patriarchy, take your Barbie

1782
01:24:11,240 --> 01:24:13,560
Speaker 1: ticket money and popcorn cash and send it to a

1783
01:24:13,640 --> 01:24:17,479
Speaker 1: strike fund instead. SI, I just there was no part

1784
01:24:17,520 --> 01:24:19,080
Speaker 1: of this that I really enjoyed. By the end, I

1785
01:24:19,160 --> 01:24:19,960
Speaker 1: just wanted it to be over.

1786
01:24:20,040 --> 01:24:22,200
Speaker 2: I'm realizing I really think that this is also a

1787
01:24:22,280 --> 01:24:24,880
Speaker 2: difference in audience, because he was telling you, I watched

1788
01:24:24,920 --> 01:24:27,280
Speaker 2: it with a bunch of very raucous drunk gaze here

1789
01:24:27,360 --> 01:24:30,040
Speaker 2: in Washington, DC, and they were loving the movie.

1790
01:24:30,120 --> 01:24:32,320
Speaker 1: There are all they were feeling the energy.

1791
01:24:32,320 --> 01:24:33,639
Speaker 3: They were feeling the energy.

1792
01:24:34,640 --> 01:24:36,360
Speaker 2: A lot of the women who were in the audience

1793
01:24:36,479 --> 01:24:38,920
Speaker 2: are exactly the type who love like Lehman Fen So

1794
01:24:39,000 --> 01:24:41,200
Speaker 2: I was just like, hey, you know, it's almost.

1795
01:24:41,000 --> 01:24:41,960
Speaker 3: Get caught up in the crowd.

1796
01:24:42,000 --> 01:24:44,040
Speaker 2: You're like, ah, you know, everyone's loving the jokes like

1797
01:24:44,120 --> 01:24:46,360
Speaker 2: they love the core message of it.

1798
01:24:46,479 --> 01:24:48,839
Speaker 3: So I guess I just didn't look even as political.

1799
01:24:48,920 --> 01:24:51,080
Speaker 2: I was like, yeah, generic center left movie is going

1800
01:24:51,160 --> 01:24:52,559
Speaker 2: to be generic center left.

1801
01:24:52,600 --> 01:24:53,960
Speaker 3: I enjoyed a lot of the Ken humor.

1802
01:24:54,040 --> 01:24:57,080
Speaker 2: I thought it was funny, like Ken the Patriarchy, and like,

1803
01:24:57,479 --> 01:24:59,000
Speaker 2: I don't want to issue too many spoilers, so you

1804
01:24:59,040 --> 01:24:59,920
Speaker 2: haven't seen it, I recommend you.

1805
01:25:00,080 --> 01:25:01,600
Speaker 1: I mean I already did the whole plot in my

1806
01:25:01,680 --> 01:25:02,760
Speaker 1: things spoiled off.

1807
01:25:03,040 --> 01:25:05,000
Speaker 3: But just like some of the jokes like the Ken

1808
01:25:05,240 --> 01:25:07,439
Speaker 3: dance off or what else am I thinking of?

1809
01:25:08,080 --> 01:25:11,439
Speaker 2: Like the Mount Rushmore, the Mount Rushmore filled with horses,

1810
01:25:11,760 --> 01:25:13,920
Speaker 2: there were like intermittent laughs and all those things. I

1811
01:25:14,000 --> 01:25:16,120
Speaker 2: thought it was light and I didn't I didn't find

1812
01:25:16,160 --> 01:25:16,799
Speaker 2: that it was plotting.

1813
01:25:16,800 --> 01:25:18,639
Speaker 3: I didn't think it. Well, maybe because I saw Appenheimer

1814
01:25:18,720 --> 01:25:23,080
Speaker 3: that morning, so anything that could I don't know.

1815
01:25:23,160 --> 01:25:25,240
Speaker 2: I saw it and I was like, huh, that was humorous.

1816
01:25:25,479 --> 01:25:27,519
Speaker 2: I wasn't like, I love this movies the greatest movie

1817
01:25:27,720 --> 01:25:29,200
Speaker 2: I've ever seen. I was like, it was kind of fun.

1818
01:25:29,800 --> 01:25:34,439
Speaker 3: But I'm telling you, my audience was obsessed.

1819
01:25:33,280 --> 01:25:35,559
Speaker 1: With this movie, like would not it was so funny

1820
01:25:35,600 --> 01:25:37,760
Speaker 1: because I'm telling you, there was about to be a

1821
01:25:37,880 --> 01:25:41,040
Speaker 1: revolt among the like working class black audience that brought

1822
01:25:41,040 --> 01:25:43,519
Speaker 1: their little girls there. And I'm talking there were teeny

1823
01:25:43,760 --> 01:25:45,920
Speaker 1: tiny kids. There were, you know, little girls of all.

1824
01:25:46,280 --> 01:25:47,439
Speaker 3: I got one hundred percent see.

1825
01:25:47,240 --> 01:25:50,920
Speaker 1: That, and also a mom. So I would have, I think,

1826
01:25:50,960 --> 01:25:53,160
Speaker 1: because I wouldn't paid close to to It's PG thirteen

1827
01:25:53,280 --> 01:25:54,640
Speaker 1: is the rating on I wouldn't paid close to it.

1828
01:25:54,680 --> 01:25:56,200
Speaker 1: I would have been like, it's probably fine, you know,

1829
01:25:56,280 --> 01:25:58,320
Speaker 1: and i'da likes dolls, so I'll bring her, you know.

1830
01:25:59,000 --> 01:26:02,880
Speaker 1: And thank god I didn't, because seriously, early on, there's

1831
01:26:02,960 --> 01:26:06,200
Speaker 1: this scene with the Kens where they're joking about beaching

1832
01:26:06,240 --> 01:26:10,320
Speaker 1: each other off, and I was so shocked by having

1833
01:26:10,439 --> 01:26:13,360
Speaker 1: that in what is ostensibly like this kid's movie, with

1834
01:26:13,479 --> 01:26:15,320
Speaker 1: all these little girls sitting around me, that I just

1835
01:26:15,400 --> 01:26:18,040
Speaker 1: refused to believe that they actually intended that joke to

1836
01:26:18,080 --> 01:26:19,720
Speaker 1: be what I thought it was. And then there's all

1837
01:26:19,760 --> 01:26:23,200
Speaker 1: these jokes about like genitals and gym glass. I'm like, what,

1838
01:26:23,560 --> 01:26:26,000
Speaker 1: And it's not like any of the funny stuff would

1839
01:26:26,080 --> 01:26:29,439
Speaker 1: land with the kids. It wasn't really that funny for

1840
01:26:29,680 --> 01:26:33,479
Speaker 1: the grown ups. And they're relentlessly beating you over the

1841
01:26:33,560 --> 01:26:37,599
Speaker 1: head with this like patriarchy discourse that you know, felt

1842
01:26:37,680 --> 01:26:40,080
Speaker 1: like gamer Gade all over again or something like that

1843
01:26:40,200 --> 01:26:41,200
Speaker 1: was the level of messaging it.

1844
01:26:41,360 --> 01:26:43,639
Speaker 2: Just for me, it was an Now, I could totally

1845
01:26:43,680 --> 01:26:45,519
Speaker 2: see that especially for kids. I didn't consider that that

1846
01:26:45,560 --> 01:26:47,120
Speaker 2: if there are a lot of kids going to this, yeah.

1847
01:26:47,920 --> 01:26:48,080
Speaker 5: Yeah.

1848
01:26:48,120 --> 01:26:49,680
Speaker 1: The lady next to me right after it was over,

1849
01:26:49,800 --> 01:26:51,160
Speaker 1: she turned to me and she was like, that didn't

1850
01:26:51,200 --> 01:26:53,840
Speaker 1: know kids movie, and that was dead. And towards the

1851
01:26:53,960 --> 01:26:55,720
Speaker 1: end of the movie, I mean, people were talking, they

1852
01:26:55,760 --> 01:26:58,320
Speaker 1: were like there was like a murmur of discontent for

1853
01:26:58,439 --> 01:27:01,080
Speaker 1: probably the last like I need to thirty minutes of

1854
01:27:01,360 --> 01:27:07,160
Speaker 1: the movie did not land all right, Sorrey looking at

1855
01:27:07,200 --> 01:27:07,519
Speaker 1: it well.

1856
01:27:07,640 --> 01:27:10,160
Speaker 2: On Thursday, I did a monologue about the stunning admission

1857
01:27:10,200 --> 01:27:13,280
Speaker 2: by Disney CEO Bob Iger that linear TV itself is dead.

1858
01:27:13,560 --> 01:27:16,200
Speaker 2: It's the most stark admission yet by someone at the

1859
01:27:16,360 --> 01:27:18,400
Speaker 2: very top of the industry on the state of the

1860
01:27:18,439 --> 01:27:21,080
Speaker 2: TV business in retrospect, I think it will be a

1861
01:27:21,200 --> 01:27:25,000
Speaker 2: big event, preceding mass layoffs, declining ratings, and a decade

1862
01:27:25,120 --> 01:27:27,640
Speaker 2: or more of chaos in the industry. The parallel that

1863
01:27:27,720 --> 01:27:29,800
Speaker 2: I use of how TV would fall is what happened

1864
01:27:29,800 --> 01:27:33,080
Speaker 2: to newspapers, where almost all of them mostly died save

1865
01:27:33,280 --> 01:27:35,559
Speaker 2: for the three majors, the Wall Street Journal, the New

1866
01:27:35,640 --> 01:27:37,080
Speaker 2: York Times, and the Washington Post.

1867
01:27:37,360 --> 01:27:38,160
Speaker 3: But lo and behold.

1868
01:27:38,439 --> 01:27:40,800
Speaker 2: Just a few days later, some news emerged on one

1869
01:27:40,800 --> 01:27:43,599
Speaker 2: of those papers showing that even amongst the majors, there

1870
01:27:43,680 --> 01:27:46,360
Speaker 2: is trouble, and worse that even our so called genius

1871
01:27:46,400 --> 01:27:49,360
Speaker 2: oligarchs can't do very much about it. New figures out

1872
01:27:49,400 --> 01:27:52,360
Speaker 2: of the Washington Posts show that Jeff Bezos, under his leadership,

1873
01:27:52,560 --> 01:27:54,800
Speaker 2: the paper has yet to turn a profit, and this

1874
01:27:55,000 --> 01:27:58,879
Speaker 2: year alone is set to lose some stunning one hundred

1875
01:27:59,160 --> 01:28:02,320
Speaker 2: million dollars in just one year. To understand how extraordinary

1876
01:28:02,320 --> 01:28:06,040
Speaker 2: that it is, consider this. In twenty thirteen, Bezos purchased

1877
01:28:06,080 --> 01:28:08,600
Speaker 2: the paper for two hundred and fifty million dollars. A

1878
01:28:08,720 --> 01:28:12,720
Speaker 2: decade later, after pouring hundreds of millions into the paper's infrastructure,

1879
01:28:12,960 --> 01:28:16,280
Speaker 2: a renovated building, new staff, and more, he's still losing

1880
01:28:16,400 --> 01:28:19,560
Speaker 2: nearly forty percent of his original purchase price in a

1881
01:28:19,840 --> 01:28:23,240
Speaker 2: single year. What is going on at this company? It's

1882
01:28:23,240 --> 01:28:25,960
Speaker 2: a simple and pathetic answer. During the Trump years, they

1883
01:28:26,000 --> 01:28:28,559
Speaker 2: were actually doing okay. They peaked at nearly three million

1884
01:28:28,600 --> 01:28:31,839
Speaker 2: digital subscribers to the paper. They turned out resistance fantasy

1885
01:28:32,080 --> 01:28:34,840
Speaker 2: after resistance fantasy. And if you think I'm joking about that,

1886
01:28:35,160 --> 01:28:37,439
Speaker 2: the true natier of the Washington Post happened after the

1887
01:28:37,520 --> 01:28:40,639
Speaker 2: Mellor report was released as a PDF, and they released

1888
01:28:40,640 --> 01:28:43,760
Speaker 2: it as a literal, annotated fan fiction version book, which

1889
01:28:43,800 --> 01:28:47,280
Speaker 2: became a number one New York Times bestseller. Today you

1890
01:28:47,360 --> 01:28:50,160
Speaker 2: can also purchase de side that the January sixth report,

1891
01:28:50,280 --> 01:28:54,040
Speaker 2: similarly annotated by so called esteemed reporters. So yeah, it's

1892
01:28:54,080 --> 01:28:56,160
Speaker 2: a real wonder why they lost half a million subscribers

1893
01:28:56,160 --> 01:28:59,000
Speaker 2: after the Boogeyman left office. But what I find delicious

1894
01:28:59,000 --> 01:29:01,439
Speaker 2: about this is a few things. Number One, obviously I

1895
01:29:01,560 --> 01:29:03,559
Speaker 2: like to see the mainstream media fail. But number two

1896
01:29:03,880 --> 01:29:06,960
Speaker 2: is the mint busting over the so called genius of Bezos.

1897
01:29:07,080 --> 01:29:10,880
Speaker 2: Outside of Amazon. I believe that Bezos revolutionized e commerce.

1898
01:29:10,920 --> 01:29:12,920
Speaker 2: He's one of the great businessmen of our time. But

1899
01:29:13,040 --> 01:29:16,040
Speaker 2: I can't help but also enjoy Bezos quitting Amazon to

1900
01:29:16,160 --> 01:29:18,760
Speaker 2: be revealed as just your average sixty year old rich

1901
01:29:18,880 --> 01:29:21,920
Speaker 2: dude going through a midlife crisis, humiliating himself with his

1902
01:29:22,000 --> 01:29:25,599
Speaker 2: new fiance tweeting about the best hangover foods, and then

1903
01:29:25,600 --> 01:29:27,920
Speaker 2: the most storied rich guy trade of them all, thinking

1904
01:29:28,000 --> 01:29:30,560
Speaker 2: that you're actually special and different because you did so

1905
01:29:30,720 --> 01:29:33,280
Speaker 2: well in one area that you can do it in another.

1906
01:29:33,920 --> 01:29:36,519
Speaker 2: It's worth going back a decade and seeing just how

1907
01:29:36,640 --> 01:29:39,040
Speaker 2: big of a game that Bezos talked. When he bought

1908
01:29:39,120 --> 01:29:42,560
Speaker 2: the Post, he promised quote a new golden era of

1909
01:29:42,640 --> 01:29:44,800
Speaker 2: the paper that his big idea was not to run

1910
01:29:44,840 --> 01:29:47,360
Speaker 2: a newspaper, but to turn The Washington Post into a

1911
01:29:47,439 --> 01:29:51,479
Speaker 2: software company. He invested massively into a new building that

1912
01:29:51,560 --> 01:29:54,200
Speaker 2: I've actually seen. It feels like Google whenever you're in it,

1913
01:29:54,479 --> 01:29:57,120
Speaker 2: and he hired all these new engineers to start crashing

1914
01:29:57,200 --> 01:30:00,600
Speaker 2: on turning the company into software. The idea was that

1915
01:30:00,680 --> 01:30:02,519
Speaker 2: to truly make a lot of money, you had to

1916
01:30:02,600 --> 01:30:05,080
Speaker 2: build a new back end system that publishers could use

1917
01:30:05,120 --> 01:30:08,160
Speaker 2: to actually operate their websites. On paper, sounds like a

1918
01:30:08,200 --> 01:30:11,240
Speaker 2: good idea, but a few years after it didn't sound

1919
01:30:11,320 --> 01:30:14,960
Speaker 2: so special. It didn't work at all. Widespread adoption didn't

1920
01:30:14,960 --> 01:30:17,080
Speaker 2: happen five years later, they think they might just sell

1921
01:30:17,120 --> 01:30:19,240
Speaker 2: their business off. And in a sign of just how

1922
01:30:19,400 --> 01:30:22,479
Speaker 2: unoriginal the idea is, Vox Media, which raised tens of

1923
01:30:22,560 --> 01:30:24,840
Speaker 2: millions of dollars to pursue the exact same thing, just

1924
01:30:24,960 --> 01:30:27,200
Speaker 2: gave up on it a few days ago and just said,

1925
01:30:27,280 --> 01:30:30,000
Speaker 2: screw it, We're going off our own back end system

1926
01:30:30,160 --> 01:30:34,000
Speaker 2: because the money is just not there. Basically WordPress one,

1927
01:30:34,160 --> 01:30:36,000
Speaker 2: despite billions of dollars being thrown.

1928
01:30:35,840 --> 01:30:36,439
Speaker 3: At replacing it.

1929
01:30:36,760 --> 01:30:39,479
Speaker 2: Why because it's cheap, because it was already in existence,

1930
01:30:39,600 --> 01:30:41,439
Speaker 2: and because at the end of the day, the Washington

1931
01:30:41,439 --> 01:30:43,479
Speaker 2: Post Company and Vox were not trying to solve real

1932
01:30:43,560 --> 01:30:47,080
Speaker 2: problems that people had. The biggest problem facing newspapers is

1933
01:30:47,200 --> 01:30:49,479
Speaker 2: not that they don't have a good enough website or

1934
01:30:49,560 --> 01:30:52,120
Speaker 2: that it isn't easy enough to publish a story. It's

1935
01:30:52,160 --> 01:30:54,880
Speaker 2: that people don't trust them at a mass scale. And

1936
01:30:55,000 --> 01:30:58,120
Speaker 2: instead of trying to build that trust back under bezos leadership,

1937
01:30:58,360 --> 01:31:01,080
Speaker 2: he went in the opposite direction. He leaned into the

1938
01:31:01,400 --> 01:31:04,600
Speaker 2: worst resistance tendencies under Trump. He allowed the paper to

1939
01:31:04,720 --> 01:31:07,479
Speaker 2: descend into a trash heap that tolerated people like Felicia

1940
01:31:07,600 --> 01:31:11,400
Speaker 2: Sonmez blasting her own bosses as somehow sexist or hiring.

1941
01:31:11,439 --> 01:31:13,880
Speaker 2: The New York Times scraps with people like Taylor Lorenz

1942
01:31:13,960 --> 01:31:16,200
Speaker 2: so she could docks people for a living. All of

1943
01:31:16,320 --> 01:31:19,559
Speaker 2: his genius tech plays failed because you can't teck your

1944
01:31:19,640 --> 01:31:23,400
Speaker 2: way out of bad content. Ask anyone who makes content

1945
01:31:23,479 --> 01:31:26,280
Speaker 2: for a living. You can gussie up things with editing

1946
01:31:26,479 --> 01:31:29,080
Speaker 2: and graphics and all that that you want, but if

1947
01:31:29,120 --> 01:31:32,360
Speaker 2: the core thing is bad, no one will care. In fact,

1948
01:31:32,520 --> 01:31:34,880
Speaker 2: I can't believe I'm saying this, but Bezos could learn

1949
01:31:34,960 --> 01:31:36,840
Speaker 2: a thing or two from The New York Times. And

1950
01:31:36,920 --> 01:31:38,479
Speaker 2: as much as I don't like The New York Times,

1951
01:31:38,720 --> 01:31:41,080
Speaker 2: you can't help but admire their business. They solve the

1952
01:31:41,120 --> 01:31:44,760
Speaker 2: trust pop problem how by monetizing the parts of their

1953
01:31:44,800 --> 01:31:47,439
Speaker 2: brand that weren't affected by it. According to The Times,

1954
01:31:47,479 --> 01:31:50,400
Speaker 2: his own numbers a huge part of their growth. Pro

1955
01:31:50,560 --> 01:31:53,880
Speaker 2: Trump has nothing to do with politics. It's subscriptions to

1956
01:31:54,000 --> 01:31:57,040
Speaker 2: the cooking section and the crossword app, along with sports

1957
01:31:57,080 --> 01:32:00,320
Speaker 2: subscribers to the most recent purchase of the Athletic Company

1958
01:32:00,400 --> 01:32:02,760
Speaker 2: saw growth in its ownership of The Wirecutter as well.

1959
01:32:02,960 --> 01:32:06,759
Speaker 2: That's a consumer goods recommendation outlet. Notice what's not driving growth,

1960
01:32:07,000 --> 01:32:10,920
Speaker 2: They're at all politics the time, simply became a lifestyle

1961
01:32:11,000 --> 01:32:13,960
Speaker 2: brand for upper class liberals, and it's doing very well

1962
01:32:14,040 --> 01:32:17,320
Speaker 2: at it. Ironically, it wasn't a visionary entrepreneur came up

1963
01:32:17,320 --> 01:32:20,120
Speaker 2: with that strategy, but one hundred year old family business

1964
01:32:20,160 --> 01:32:22,519
Speaker 2: that appears to have absolutely creamed him in it.

1965
01:32:22,880 --> 01:32:24,720
Speaker 3: So what can we learn from all of this. It's

1966
01:32:24,800 --> 01:32:26,559
Speaker 3: that all the money in the world, all.

1967
01:32:26,520 --> 01:32:30,240
Speaker 2: The reputation, you can't buy your way out of losing trust.

1968
01:32:30,520 --> 01:32:32,960
Speaker 2: And just because you're awesome at one thing doesn't mean

1969
01:32:33,000 --> 01:32:34,880
Speaker 2: you're going to be all that awesome in another, And

1970
01:32:35,000 --> 01:32:37,519
Speaker 2: that in this business, it is not about money. It's

1971
01:32:37,520 --> 01:32:40,760
Speaker 2: about reputation, integrity, trust in the long run, and the

1972
01:32:40,840 --> 01:32:43,439
Speaker 2: ability to actually turn it into a business in the

1973
01:32:43,520 --> 01:32:47,080
Speaker 2: long run. So that's the thing, christ Bezos. Yeah, I mean,

1974
01:32:47,200 --> 01:32:48,559
Speaker 2: the software plays in most part.

1975
01:32:48,760 --> 01:32:51,479
Speaker 1: And if you want to hear my reaction to Sagre's monologue,

1976
01:32:51,560 --> 01:32:54,559
Speaker 1: become a premium subscriber today at Breakingpoints dot Com.

1977
01:32:57,479 --> 01:32:59,280
Speaker 3: All right, guys, thank you so much for watching.

1978
01:32:59,520 --> 01:33:02,360
Speaker 2: We are going to have two big interviews tomorrow that

1979
01:33:02,360 --> 01:33:04,680
Speaker 2: will be available exclusively to our premium subscribers.

1980
01:33:04,680 --> 01:33:05,720
Speaker 3: First, so if you want to go ahead and.

1981
01:33:05,680 --> 01:33:08,240
Speaker 2: Sign up, not only to help us get candidates to

1982
01:33:08,320 --> 01:33:10,560
Speaker 2: come into the studio and for big interviews like that,

1983
01:33:10,640 --> 01:33:12,680
Speaker 2: but also to be able to watch them before anybody else.

1984
01:33:12,840 --> 01:33:15,200
Speaker 3: Sign up breakingpoints dot com. We'll see you all then