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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, guys, the best independent

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Speaker 2: coverage that is possible. If you like what we're all about,

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Speaker 2: it just means the absolute world to have your support.

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Speaker 2: 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. What do we have, Crystal, Indeed we do.

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Speaker 1: We have lots of fundraising numbers which are always a

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Speaker 1: little bit revealing what people are saying versus the reality

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Speaker 1: of the campaign and kind of the big headline here

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Speaker 1: is Ronda Santis in a little more cash trouble than

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Speaker 1: one might expect, in actually having to lay off some staff.

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Speaker 1: So we'll break all of that down for you. Bus

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Speaker 1: had some interesting interview moments with Tucker Carlson in a

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Speaker 1: variety of the GP candidates, so we will bring those

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Speaker 1: highlights or low lights look at it. Also some reporting

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Speaker 1: on Joe Biden and what is going on with him.

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Speaker 1: Apparently you still have donors who are like, we don't

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Speaker 1: believe that he's running, well, we'll still evaluating their alternatives. Personally,

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Speaker 1: I think it's a lot of cope, but we will

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Speaker 1: see what happens there. We also have updates for you

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Speaker 1: on that complete Hollywood shutdown, some pretty extraordinary comments from

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Speaker 1: Bob Iger of Disney, also Ron Pearlman in response to

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Speaker 1: everything that's going on. We also are excited to have

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Speaker 1: in the show a used car expert from YouTube to

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Speaker 1: break down what the hell is going on in that

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Speaker 1: market overall and also specifically with electric vehicles, which I

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Speaker 1: think is going to be pretty exciting. So we are

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Speaker 1: very much looking forward to that. Sager.

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Speaker 3: That's right. We have one administrative announcement.

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Speaker 2: As celebration for hitting one million, we are doing a

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Speaker 2: limited edition you made in the USA Union breaking points

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Speaker 2: dress sock. Let's go and put this up there on

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Speaker 2: the screen. That's actually me personally modeling, and please.

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Speaker 1: Don't come out lovely ankles or.

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Speaker 3: Not shining my shoes.

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Speaker 2: Okay, I'm sorry, it's a difficult tasks.

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Speaker 1: You missed your calling as an ankle mod I certainly did.

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Speaker 2: Yeah, like the hand models in Zoolander. Anyway, we are

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Speaker 2: releasing these to our premium subscribers first. We expect them

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Speaker 2: to sell out pretty quickly. We did a limited edition run.

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Speaker 2: I guess if they do well, maybe we'll make some more.

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Speaker 2: So it's available shop dot breakingpoints dot com premium subscribers,

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Speaker 2: it is at the top of your email. For everybody else,

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Speaker 2: you can also sign up become a premium sub and

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Speaker 2: then get access as well breakingpoints dot com. There's tab

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Speaker 2: as well on our website. But we've got some breaking

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Speaker 2: news out of Russia and Ukraine this morning. Why don't

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Speaker 2: we take a look at that.

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Speaker 1: Yeah, so before we jump into the full show, just

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Speaker 1: wanted to give you an update on a couple of

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Speaker 1: developments that are happening this morning. So you'll recall that

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Speaker 1: Kerch Bridge that connects Russia and Crimea that was really

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Speaker 1: a symbol of putent sort of takeover of the peninsula

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Speaker 1: that have been struck before under suspicious circumstances or uncertain circumstances. Well,

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Speaker 1: now this morning we have Ukraine claiming responsibility for a

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Speaker 1: new attack on that key Crimea bridge. I'm reading here

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Speaker 1: from CNN. They say Ukrainian security official has claimed responsibility

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Speaker 1: for an attack on that bridge linking the annexed Crimean

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Speaker 1: peninsula to the Russian mainland, a vital supply line for

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Speaker 1: Russia's war effort in Ukraine and a personal project for

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Speaker 1: President Vladimir Putin. The nearly twelve mile crossing, known as

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Speaker 1: the Kirsch Bridge, is the longest in Europe, holds huge

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Speaker 1: strategic and symbolic importance. Monday's attack on the bridge was

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Speaker 1: the second since Russia launched its invasion of Ukraine after

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Speaker 1: a fuel tanker exploded while crossing it in October. A

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Speaker 1: source in Ukraine's security service told CNN attack was a

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Speaker 1: joint operation of that security service and Ukraine's naval forces.

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Speaker 1: They spoke on condition of anonymity. So obviously it's huge

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Speaker 1: development in terms of the conflict, the war in Ukraine.

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Speaker 1: It also comes as there was announcement this morning. You'll

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Speaker 1: recall there was this deal that was struck between Russia,

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Speaker 1: Ukraine and other forces to sort of guarantee grain shipments

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Speaker 1: and ensure their safe passage to try to keep the

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Speaker 1: stability of grain prices so food prices worldwide don't spiral

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Speaker 1: out of control. That deal has fallen apart. Russia has

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Speaker 1: withdrawn from it, so that is also very significant development

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Speaker 1: in terms of some of the fallout effects around the

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Speaker 1: globe Siger. Obviously, you know, anytime this bridge, which is

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Speaker 1: really key and very important to Russia in particular for

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Speaker 1: supplying their troops, anytime something happens here, that's a big deal.

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Speaker 2: Yeah, it's especially a big deal, like you said, because

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Speaker 2: Ukraine is not doing very well right now and their

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Speaker 2: counter offensive and they need all they can to try

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Speaker 2: and disrupt the supply lines that are heading to the

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Speaker 2: Russian front. So this is one of the major thoroughfares.

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Speaker 2: They've already established rail service back on the bridge. Actually,

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Speaker 2: some of the video that we can go ahead and

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Speaker 2: put up there right now, you can take very quick

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Speaker 2: look here at how it looks as of well, I

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Speaker 2: guess morning Russian time from the damage. So all current

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Speaker 2: actual traffic in terms of car traffic on the bridge

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Speaker 2: has been suspended for the time being. Even though the

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Speaker 2: initial attack Crystal was far worse in terms of the damage,

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Speaker 2: it did not disrupt the entire bridge the way that

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Speaker 2: this one did. Rail service will provide some of a

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Speaker 2: lifeline to the Russian forces and obviously they're going to

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Speaker 2: try their.

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Speaker 3: Best to get this done.

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Speaker 2: But it does show you, you know, as Ukraine actually

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Speaker 2: falters in their counter offensive in the conventional battlefield, that

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Speaker 2: they're going to have to look to try and disrupt

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Speaker 2: supply lines and others deeper, both here in this case

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Speaker 2: inside of Crimea, possibly as the inside of Russia will

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Speaker 2: bring you some extraordinary comments I think tomorrow from the

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Speaker 2: top Ukrainian military commander. But the widening of the war,

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Speaker 2: the continuing of the war, the cluster munitions and all

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Speaker 2: that point actually in this same direction.

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Speaker 3: It's really just like World War One all over again.

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Speaker 1: I think that one of the things that this attack

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Speaker 1: underscores and the willingness of Kiev to take immediate responsibility

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Speaker 1: for it is, you know, everybody expects at this point

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Speaker 1: that the last attack was also the responsibility of Kiev,

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Speaker 1: but at that point they would not claim responsibility. Now

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Speaker 1: you know this many months later with the attacks that

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Speaker 1: they've engaged in on Russian soil, with you know, drone

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Speaker 1: strikes even on the Krumlin, with some of the sabotage

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Speaker 1: and the assassinations that they've engaged in on Russian soil,

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Speaker 1: and everybody sort of acknowledging, yes, Ukraine is behind these

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Speaker 1: attacks in some shape or form, there is an increased

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Speaker 1: level of boldness and audacity where they feel perfectly comfortable

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Speaker 1: acknowledging an attack on what is you know, civilian infrastructure

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Speaker 1: that is also used for military purposes. And you did

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Speaker 1: have two people who reportedly, according to Russian sources, were

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Speaker 1: killed and their daughter wounded in this attack. So that's

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Speaker 1: everything we know.

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Speaker 2: That's everything that we got so far. So we'll keep

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Speaker 2: everybody updated. As I said, I think we'll do a

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Speaker 2: little bit more on Ukraine tomorrow. Let's go ahead to

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Speaker 2: the GOP fundraising numbers. As Crystal alluded to, there's a

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Speaker 2: lot to get into with all of the candidates, but

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Speaker 2: the major and the top story here remains really the

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Speaker 2: diminishing campaign of Governor Ron De Santis of Florida and

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Speaker 2: his need to turn things around if that's even possible.

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Speaker 3: It's going to put this up there on the screen.

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Speaker 2: It was reported on late Saturday night as all of

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Speaker 2: the numbers became clear. Quote Desanta's campaign shed staff amid

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Speaker 2: a cash crunch. Quote fewer than ten so aka ten

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Speaker 2: staffers were let go Thursday, according to a person familiar

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Speaker 2: with the campaign. They leaked it almost immediately to Politico,

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Speaker 2: saying that many aides who were involved in event planning

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Speaker 2: and in other deemed non essential parts of the campaign

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Speaker 2: were dropped from the Dessantas campaign and actually Crystal in

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Speaker 2: a really interesting turn of events, they almost immediately sent

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Speaker 2: their resume over to the Ron Dessantas super Pac, although,

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Speaker 2: as a friend familiar with campaign finance law tells me,

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Speaker 2: you do have to wait one hundred and twenty days

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Speaker 2: before immediately jumping from the campaign to over to the

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Speaker 2: super pac, meaning that in this case they do expect

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Speaker 2: to be at least not employed by the campaign or

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Speaker 2: be able to return to the apparatus for a period

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Speaker 2: of four months, which is pretty stunning when you consider.

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Speaker 1: That that's a long time in campaign time.

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Speaker 3: The headline here is just so obvious.

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Speaker 2: I mean, you know, having to drop staff almost immediately

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Speaker 2: after launch in the first quarter, despite not the worst

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Speaker 2: fundraising hall is a really bad sign, and it does

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Speaker 2: also show a burn rate of nearly one million dollars

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Speaker 2: per month. The problem that the Desantas campaign has right

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Speaker 2: now is not only are they trying to fundraise for

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Speaker 2: the GOP primary Crystal, but they are also earmarking in

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Speaker 2: the case that they somehow do win the general election,

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Speaker 2: So they have some of this cash that they were

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Speaker 2: able to raise they're having to set aside of the

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Speaker 2: existing pool. The burn rate remains high enough that they

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Speaker 2: felt that they had to offload payroll, which was their

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Speaker 2: biggest expense so far in this And then the worst part,

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Speaker 2: which I know that you can break down here, is

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Speaker 2: that he has tapped many of his donors for the

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Speaker 2: maximum amount. So the large top line figure that DeSantis

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Speaker 2: has gotten is not one that is going to be

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Speaker 2: sustainable in the long run. So if you've already tapped

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Speaker 2: your big donors and you still have to fire staff,

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Speaker 2: you don't have enough to move forward.

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Speaker 3: You're not in the best position right now as a campaign.

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Speaker 4: Yeah.

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Speaker 1: On the one hand, the dysantists people would look at

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Speaker 1: the top line and say, hey, he raised a lot

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Speaker 1: of money. He raised more money than almost any of

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Speaker 1: the other contenders. However, if you dig a little bit

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Speaker 1: beneath the surface, you see a few problems. Number one,

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Speaker 1: very burn rate. And that's a big problem, and that's

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Speaker 1: why he's shedding staff. Because we've seen this so many

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Speaker 1: times before. The Hillary Clinton, multiple Hillary Clinton campaigns come

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Speaker 1: to mind. Actually, the Trump campaign last time around comes

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Speaker 1: to mind. Where you're just burning through cash. You just

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Speaker 1: assume that there's going to be an endless money's bigot.

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Speaker 1: You staff up with way too many people, create way

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Speaker 1: too much bureaucracy, and you blow through money way too

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Speaker 1: quickly before most voters, frankly, are even really paying attention.

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Speaker 1: So they're trying to trim back because they see the

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Speaker 1: writing on the wall in terms of just they need

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Speaker 1: a sustainable pace of operations. And then the other couple

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Speaker 1: of pieces that Sager's pointing to do here is when

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Speaker 1: you have money coming in directly to the campaign, there

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Speaker 1: is a maximum amount you can give for the primary,

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Speaker 1: and there's a maximum amount that you can give for

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Speaker 1: the general election. So if you have given the toll

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Speaker 1: max of primary plus general, you have to reserve those

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Speaker 1: funds that are meant for the general election. You have

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Speaker 1: to set those aside. You cannot spend them in the

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Speaker 1: primary or else you'll be in violation of campaign finance law.

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Speaker 1: And then the other piece that I think is really

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Speaker 1: important here is that there's a very low rate of

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Speaker 1: grassroots small dollar fundraising ability, which actually I'm a little

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Speaker 1: bit surprised at because I do think Ronda Santis he's

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Speaker 1: well liked within the Republican Party. I do think he

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Speaker 1: has some base of support. But what we're seeing across

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Speaker 1: the board with all of these fundraising numbers is actually

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Speaker 1: there's a lot of grassroots fundraising fatigue. All of the

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Speaker 1: candidates are seeing lower grassroots fund raising numbers. Joe Biden

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Speaker 1: in particular, he has never been a grassroots fundraising juggernaut.

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Speaker 1: We're going to talk more about that when we get

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Speaker 1: to the Democrats here, but the fact that rond de

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Speaker 1: Santis doesn't have this well of enthusiastic grassroots fundraising support,

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Speaker 1: I think is also indicative of a campaign that has

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Speaker 1: had more success with the donor class at this point

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Speaker 1: than it has with the actual Republican base.

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Speaker 2: Look at the end of the the guy's only got

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Speaker 2: fifteen percent of his money coming in from small dollar donations.

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Speaker 2: That's just not the sustainable path to actually be able

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Speaker 2: to make payroll when you have such a high level

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Speaker 2: of staff. DeSantis himself, being confronted with this on Fox News,

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Speaker 2: which is we've covered a lot here, has really taken

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Speaker 2: a turn against the man.

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Speaker 3: Here's what they had to say, and here was his response.

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Speaker 5: Hey, oh, the governor doesn't do retail campaigning, he's not

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Speaker 5: going to be able to go to Iowa. And then

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Speaker 5: you know, yesterday I'm out there doing events. You know,

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Speaker 5: we have thirty forty people at some of these things,

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Speaker 5: shaking hands, answering questions, doing all that. They're like, oh, well,

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Speaker 5: he can do it.

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Speaker 3: The thirty forty people. That's what we're bragging about here

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Speaker 3: in Iowa. No, I don't know if Chrystal.

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Speaker 2: Thirty to fortyla do you think that's not That's not

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Speaker 2: the checkbox that we're going with. That number should be

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Speaker 2: three hundred to four hundred. And you really shouldn't be

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Speaker 2: putting a man of rond De Sanchez's stature in a

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Speaker 2: room of less than what like two hundred people. If

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Speaker 2: you're you know, Asa Hutchinson or any of these other

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Speaker 2: smaller candidates, then maybe, but if you are him, you

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Speaker 2: really should not put him in a position where it

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Speaker 2: can look like he's embarrassed. Let's also put this Washington

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Speaker 2: Post piece with a pretty deep dive into the DeSantis

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Speaker 2: campaign up on the screen, and as they say, quote

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Speaker 2: the long slog inside, the early struggles and the effort

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Speaker 2: to rebound. As we have already noted, the initial launch

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Speaker 2: on Twitter, with Elon Musk was itself created a lot

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Speaker 2: of media problems for the candidate, just simply because it

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Speaker 2: was like literally a failure to launch, that his fundraisers

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Speaker 2: were convened at the Four Seasons Miami and then they

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Speaker 2: had to wait for him because of the delay, none

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Speaker 2: of it actually.

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Speaker 3: Went up to schedule.

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Speaker 2: Then the initial launch interview on Fox Stings itself probably

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Speaker 2: should have been what he did the entire time, and

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Speaker 2: then a traditional speech. But from that point forward he

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Speaker 2: has found his negatives drawn up with GOP primary voters.

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Speaker 2: He has seen his poll numbers continue to decline in

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Speaker 2: almost every single GOP primary poll that has been held.

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Speaker 2: Iowa polls that have since come out don't show him

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Speaker 2: even close to neck and neck with the candidate, nor

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Speaker 2: does the New Hampshire race. He's largely been able to

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Speaker 2: only fund raise from big dollar donors that are able

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Speaker 2: to max out, not having them built up a small

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Speaker 2: dollar donation base, of which translating effectively the online energy

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Speaker 2: to normal people who are actually willing to take their

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Speaker 2: credit card out and say I affirmatively want you to

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Speaker 2: beat Donald Trump. So when you combine all of those

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Speaker 2: three things together and really just the slide after launch,

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Speaker 2: which you almost never see happen. You almost always see

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Speaker 2: some sort of bump happen post launch and have energy.

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Speaker 2: So we combine all of that and you just see

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Speaker 2: very very difficult runway right now for Governor Ron Desantas, and.

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Speaker 1: You have basically all the media has decided right now

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Speaker 1: is the moment to write their like playbook is up

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Speaker 1: with DeSantis and disarrays Bloomberg piece this morning, we just

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Speaker 1: put the Washington Post piece up on the screen. Fox

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Speaker 1: News obviously has moved off of him, and Republican donors

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Speaker 1: are kind of holding their fire if they've supported him

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Speaker 1: in the past and evaluating their options. You know, there

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Speaker 1: were some quotes in that Washington Post piece from donors

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Speaker 1: who said that you know, one donor who co hosts

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Speaker 1: an event for DeSantis described hearing sentiments such as, what's

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Speaker 1: going on and does he even have a chance. The

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Speaker 1: donor said he was trying to get other rich Republicans

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Speaker 1: to give to DeSantis, but most wanted to keep their

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Speaker 1: powder dry after his lackluster beginning. Remember the donor class,

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Speaker 1: I mean, you know, their only ideology is like protect

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Speaker 1: themselves from taxes, so they want to be on the

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Speaker 1: team with the winner, and they're worried about Okay, if

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Speaker 1: it looks like Trump is going to win, we don't

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Speaker 1: want to piss him off too much. We want to

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Speaker 1: be able to maintain our access. Or if there's some

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Speaker 1: other candidate, maybe a Tim Scott or somebody else out there,

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Speaker 1: that we can convince ourselves has a better chance, maybe

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Speaker 1: we you know, maybe we play both sides. Maybe we

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Speaker 1: just stay out for a while and wait and see

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Speaker 1: what happens. So, if you're on DeSantis and we know

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Speaker 1: now from his fundraising report that he's really dependent on

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Speaker 1: these large donors and they're starting to back away, and

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Speaker 1: the media is starting to write your obituary and you

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Speaker 1: don't have that, you know, widespread grassroots support, it's you're

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Speaker 1: in it. You're just in a tough place, like there's

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Speaker 1: no other there's no other way around it. So you know,

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Speaker 1: that's how things are looking for him this morning. And

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Speaker 1: you know, it is always interesting how they just like

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Speaker 1: flip a switch on these narratives and all of a

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Speaker 1: sudden it's just like total media, Like, okay, the writing

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Speaker 1: is on the wall here. Obviously, we've been seeing morning

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Speaker 1: signs literally from the beginning with this campaign. But I

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Speaker 1: do think probably the trigger is when you have to

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Speaker 1: lay off campaign staff.

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Speaker 3: It's undeniable. There just makes sense, you can't spin it.

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Speaker 2: And for the Desantas campaign, despite really shunning a lot

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Speaker 2: of legacy media, let's go and put this up there

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Speaker 2: on the screen. He will actually be sitting down with

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Speaker 2: Jake Tapper apparently for an exclusive interview on Tuesday. Tapper says, quote,

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Speaker 2: we have a lot to talk about, so I'm curious

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Speaker 2: to see how it goes. Megan Kelly apparently gave him

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Speaker 2: some advice instead of publicly saying that she thinks he

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Speaker 2: should go on MSNBC and should fight.

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Speaker 1: So a good idea.

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Speaker 3: Let's see how it does.

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Speaker 1: Want. Here's the thing is, he had this very play

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Speaker 1: it safe strategy. It's almost like a prevent defense. But

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Speaker 1: it's like, dude, you're lose. You don't play prevents defense

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Speaker 1: when you're behind. So he was very reluctant to go

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Speaker 1: in any at all adversarial spaces. He went with, you know,

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Speaker 1: the Murdoch properties that at least previously were one hundred

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Speaker 1: percent of supportive of him and getting total softball questions.

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Speaker 1: You got to take some risks, You got to shake

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Speaker 1: it up. You got to show people. I do think

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Speaker 1: that's something that the Republican base could respond to. If

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Speaker 1: you're going in and you're mixing it up on MSNBC

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Speaker 1: or in Lefty Podcast. Listen, we'd love to have him

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Speaker 1: here on Breaking Points. You know, if the offer is

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Speaker 1: out there for literally any of the presidential contenders, we

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Speaker 1: would love to host them on this show. But he

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Speaker 1: needs to just get out there, take every interview he can,

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Speaker 1: and you know, show what he's made of to approve

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Speaker 1: to the GOP base that he's the fighter that they

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Speaker 1: really are still looking for.

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Speaker 2: Time to get those dollar numbers up. Let's go to

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Speaker 2: the next part here. This is some really interesting stuff

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Speaker 2: around the GOP, actual other candidates than DeSantis. So let's

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Speaker 2: go ahead and put this up there on the screen.

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Speaker 2: We've got very good graphic made by our team that

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Speaker 2: actually breaks a lot of this down.

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Speaker 3: So what do we know? First, let's start with the.

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Speaker 2: Cash on hand figure as of June thirtieth that they

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Speaker 2: had to file. Donald Trump has got twenty two point

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Speaker 2: five million dollars cash on hand. Tim Scott shocking, I

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Speaker 2: guess everybody else he's got twenty one point one million

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Speaker 2: it's nice to be the big dollar donors favorite candidate.

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Speaker 1: He's actually gotten moved over from his Senates campaign to

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Speaker 1: say people.

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Speaker 2: Know, and Joe Biden's got twenty million dollars a twenty

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Speaker 2: point one million dollars cash on hand, Ron DeSantis twelve

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Speaker 2: point two million, Vivik Ramaswami nine million.

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Speaker 3: Noteworthy though that in.

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Speaker 2: The Ramaswami camp he actually personally loans some money over

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Speaker 2: to his campaign. Is actual individual dollar figures probably more

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Speaker 2: like two million. Now in terms of the actual money raised,

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Speaker 2: keep in mind that this money raise does include loans

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Speaker 2: in some cases from the candidates. Ron DeSantis twenty point

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Speaker 2: one million, Biden nineteen point nine million, Trump seventeen point

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Speaker 2: seven million, Bergham eleven point eight million, Ramaswami seven point seven.

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Speaker 2: As we said, though, both Burgham and Ramaswami had personal

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Speaker 2: actual contributions to their own campaigns, so seven point seven

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Speaker 2: million in the case of Vivek Ramaswami, who's a.

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Speaker 3: Very wealthy individual.

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Speaker 2: And then Doug Bergham as well loan himself ten million dollars,

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Speaker 2: so the real figure is quite a little bit less.

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Speaker 2: But what can we learn, I think from these Number

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Speaker 2: one is we'll do an entire thing on Biden here

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Speaker 2: in a second. But it's not exactly like things are

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Speaker 2: going well. But two also comes not only from the

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Speaker 2: not only comes really from the actual overall figure and

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Speaker 2: the cash on hand. As you saw with DeSantis, he

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Speaker 2: raised quite a bit of money, but as we previously

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Speaker 2: just said, he tapped out the big donors, and his

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Speaker 2: cash on hand is very low because he didn't have

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Speaker 2: the overall coffers to be able to come in.

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Speaker 3: So that's why his burn rate.

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Speaker 2: Whenever it remains so high, he's got to offload that

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Speaker 2: as much as possible. Tim Scott, of course, had large

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Speaker 2: amounts of money that was able to roll over from

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Speaker 2: his Senate campaign. Some these legally allowable under FEC law,

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Speaker 2: but the overall actual individual donations you know that came

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Speaker 2: in for him not exactly even close to the same.

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Speaker 2: Nikki Haley already you know, we did a entire segment

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Speaker 2: in the past about how she effectively duped a lot

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Speaker 2: of campaign reporters by trying to report far more that

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Speaker 2: she'd actually raised than was real. And I think that

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Speaker 2: it's pretty obvious here we've got effectively a three candidate

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Speaker 2: race at the very very top of the spectrum, Joe

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Speaker 2: Biden obviously the sitting president. Then you've got on the

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Speaker 2: other hand, you've got Trump and you've got DeSantis.

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Speaker 3: But Desanta's is so far behind.

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Speaker 2: While he is, you know, technically, I guess in the

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Speaker 2: big leagues, he's still running very, very far behind.

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Speaker 3: Yeah, both of those two majors.

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Speaker 1: Another noteworthy number from the campaign finance reports is a

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Speaker 1: really low figure from Vice President Mike Pence. Yes, Vice

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Speaker 1: President Mike Pence, who only raised one point two million dollars.

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Speaker 1: And think about this, man was literally vice president of

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Speaker 1: the United States. He's been in politics for a long time.

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Speaker 1: He has a lot of contacts, he is well networked.

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Speaker 1: He has been, you know, working the donor lines for

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Speaker 1: years and years now. So for him to only raise

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Speaker 1: one point two million, that is a really really sad

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Speaker 1: show there showing for the former vice president. I think

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Speaker 1: that one was really no worthy. And the other piece

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Speaker 1: to watch with this is we are coming up. It's

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Speaker 1: only about a month till the first Republican primary debate,

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Speaker 1: which will be fun. I'm excited about that. I'm sure

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Speaker 1: we're going to do big coverage here. We're just starting

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Speaker 1: to work on our plans for that, but you have

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Speaker 1: to get fifty thousand people or sorry, forty thousand people

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Speaker 1: to donate to your campaign in order to make the stage.

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Speaker 1: The polling threshold is actually quite low. It's like one

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Speaker 1: percent in three major polls something like that, So almost

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Speaker 1: all these candidates will be able to achieve the polling metric.

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Speaker 1: So it's that donor metric that is going to be

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Speaker 1: really tough, and we already see some very innovative techniques

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Speaker 1: being employed in order to try to achieve that result.

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Speaker 1: So Doug Bergram, who again wealthy tech executive, he is

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Speaker 1: promising donors he will give them a twenty dollars gift

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Speaker 1: card if they contribute just one dollar to his campaign.

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Speaker 1: So there's some sketchiness around exactly the legality of that,

436
00:21:07,320 --> 00:21:10,000
Speaker 1: but that's the direction that he is going in. Vivek

437
00:21:10,359 --> 00:21:14,040
Speaker 1: has also has a sort of creative approach here. He

438
00:21:14,119 --> 00:21:18,480
Speaker 1: has people signing up to fundraise for him and then

439
00:21:18,600 --> 00:21:21,479
Speaker 1: they get a ten percent kickback on any funds that

440
00:21:21,560 --> 00:21:24,639
Speaker 1: they raise for his campaign. So you already see that

441
00:21:24,720 --> 00:21:27,080
Speaker 1: the race is on to try to, you know, gain

442
00:21:27,160 --> 00:21:29,879
Speaker 1: those numbers and be able to meet that donor threshold.

443
00:21:30,200 --> 00:21:33,840
Speaker 1: Of course, former President Trump basically saying he's not really

444
00:21:33,880 --> 00:21:35,639
Speaker 1: planning on engaging in the debates.

445
00:21:35,720 --> 00:21:38,600
Speaker 2: Yeah, he didn't say it effectively, but you know, he

446
00:21:38,680 --> 00:21:42,080
Speaker 2: did give an interview to Fox News that aired yesterday

447
00:21:42,240 --> 00:21:44,800
Speaker 2: where he was like, well, you know, Ronald Reagan didn't

448
00:21:44,800 --> 00:21:46,800
Speaker 2: do any debates, which you know is not true, but

449
00:21:47,119 --> 00:21:49,800
Speaker 2: well he did in nineteen eighty in terms of the

450
00:21:49,880 --> 00:21:52,520
Speaker 2: debates of the primary challenders and all of that. But

451
00:21:52,840 --> 00:21:54,960
Speaker 2: I consistently think, I mean, look, we have no idea

452
00:21:55,000 --> 00:21:56,439
Speaker 2: what he's going to do. He may actually do it,

453
00:21:56,480 --> 00:21:58,159
Speaker 2: and he likes to keep everybody suspense. He may just

454
00:21:58,160 --> 00:22:00,000
Speaker 2: show up, you know, at the very very last minute

455
00:22:00,160 --> 00:22:04,280
Speaker 2: and decide. But because Chris Christy is trying very hard

456
00:22:04,520 --> 00:22:08,040
Speaker 2: to make the debate, Trump is really somebody of superstition.

457
00:22:08,119 --> 00:22:10,880
Speaker 2: He understands what Christy did to the Rubio campaign back

458
00:22:10,920 --> 00:22:14,280
Speaker 2: in twenty sixteen. He's leading so far ahead. I think

459
00:22:14,320 --> 00:22:16,399
Speaker 2: to him, he's like, why would I put myself in

460
00:22:16,440 --> 00:22:18,720
Speaker 2: that position? You know, let everybody else squabble for my

461
00:22:18,760 --> 00:22:22,320
Speaker 2: scraps while I remain on top. For DeSantis, I really

462
00:22:22,400 --> 00:22:24,679
Speaker 2: don't know, I mean, honestly, because he will be the

463
00:22:24,800 --> 00:22:27,720
Speaker 2: number one on the stage. Should he actually choose to

464
00:22:27,760 --> 00:22:31,280
Speaker 2: participate with everybody else. Well, I think it's going to

465
00:22:31,320 --> 00:22:33,320
Speaker 2: be an issue because everybody's gonna be gunning for him.

466
00:22:33,359 --> 00:22:35,680
Speaker 2: You're gonna see Ramaswami going after him. You're going to

467
00:22:35,720 --> 00:22:38,520
Speaker 2: be seeing Tim Scott, Nikki Haley, all of them have

468
00:22:38,640 --> 00:22:42,399
Speaker 2: chosen to fire against him rather than against Donald Trump

469
00:22:42,400 --> 00:22:43,440
Speaker 2: because he's so popular.

470
00:22:43,520 --> 00:22:43,800
Speaker 1: Yeah.

471
00:22:44,160 --> 00:22:46,800
Speaker 2: The other governors on the stage, guys like Burghum and

472
00:22:47,119 --> 00:22:49,480
Speaker 2: all of them, Look, they may be irrelevant whenever it

473
00:22:49,520 --> 00:22:52,080
Speaker 2: comes to polling, but they have an ego thing going on.

474
00:22:52,119 --> 00:22:54,119
Speaker 2: Be like, wait, I'm a governor too, Why am I

475
00:22:54,160 --> 00:22:56,640
Speaker 2: not getting the same respect as Ron DeSantis?

476
00:22:56,680 --> 00:22:58,920
Speaker 3: So they will also choose to go after him.

477
00:22:58,960 --> 00:23:00,480
Speaker 2: So I think overall, you know, it's going to be

478
00:23:00,480 --> 00:23:02,680
Speaker 2: a tenuous situation for DeSantis. I don't think he really

479
00:23:02,680 --> 00:23:05,440
Speaker 2: can afford to step out. And if he can hold

480
00:23:05,440 --> 00:23:06,600
Speaker 2: his own I think that'll be great.

481
00:23:06,680 --> 00:23:06,880
Speaker 1: Yeah.

482
00:23:06,920 --> 00:23:09,399
Speaker 2: And then for Trump himself, well, you know, I do

483
00:23:09,440 --> 00:23:11,440
Speaker 2: think it'll be tough. I think it would be tough

484
00:23:11,440 --> 00:23:13,439
Speaker 2: for him to go on the stage and subject himself

485
00:23:13,480 --> 00:23:15,840
Speaker 2: to attacks ego wise, because I just don't see himself

486
00:23:15,840 --> 00:23:17,960
Speaker 2: doing that. So for him, he's almost certainly going to

487
00:23:18,000 --> 00:23:18,879
Speaker 2: set out although we don't know.

488
00:23:19,000 --> 00:23:20,880
Speaker 1: You never I mean, you never know what that dude.

489
00:23:21,240 --> 00:23:23,679
Speaker 1: I sort of agree with the logic of year ahead.

490
00:23:23,920 --> 00:23:26,600
Speaker 1: You don't need to risk it, whereas DeSantis needs to

491
00:23:26,720 --> 00:23:29,639
Speaker 1: risk it and you know, to play devil's advocate here.

492
00:23:29,760 --> 00:23:32,040
Speaker 1: Perhaps it's elevating for him to be the center of

493
00:23:32,080 --> 00:23:34,760
Speaker 1: attention and be the focus of all the attacks. And

494
00:23:34,760 --> 00:23:37,040
Speaker 1: if he's able to handle that, really well, maybe he

495
00:23:37,080 --> 00:23:40,800
Speaker 1: actually does himself some good by subjecting himself to the

496
00:23:41,119 --> 00:23:43,400
Speaker 1: rigors of the debate. And you know, we've seen many

497
00:23:43,440 --> 00:23:46,800
Speaker 1: times before these candidates when they get into a debate situation,

498
00:23:47,000 --> 00:23:50,199
Speaker 1: it makes them better candidates. I think the people, you know,

499
00:23:50,240 --> 00:23:52,040
Speaker 1: like Biden and Trump, were thinking of just staying in

500
00:23:52,040 --> 00:23:54,320
Speaker 1: the bike the basement and not really going out and

501
00:23:54,320 --> 00:23:57,200
Speaker 1: campaigning that much. You get rusty, right, You got to

502
00:23:57,240 --> 00:23:59,240
Speaker 1: get out there and do your reps and get practiced.

503
00:23:59,280 --> 00:24:03,439
Speaker 1: So I listen, I personally think everybody should be required

504
00:24:03,440 --> 00:24:05,439
Speaker 1: to debate. I think it should be a baseline standard

505
00:24:05,480 --> 00:24:07,480
Speaker 1: for democracy. But that's not the world we live in.

506
00:24:07,560 --> 00:24:09,920
Speaker 1: So Trump is probably going to set it out. We'll

507
00:24:09,960 --> 00:24:12,560
Speaker 1: see for de Santis, you know, listen, maybe he could

508
00:24:12,560 --> 00:24:16,040
Speaker 1: do himself some good there on the stage. I do

509
00:24:16,520 --> 00:24:20,120
Speaker 1: you know, do you think, Sager? It all feels so inevitable,

510
00:24:20,440 --> 00:24:22,800
Speaker 1: Like it feels so much like, all right, we're heading

511
00:24:22,840 --> 00:24:26,640
Speaker 1: for the Biden Trump rematch, and it's hard to imagine

512
00:24:26,640 --> 00:24:29,639
Speaker 1: what's going to push that off course? Doesn't it just

513
00:24:29,680 --> 00:24:32,040
Speaker 1: seem like there must be some curveball that's going to

514
00:24:32,080 --> 00:24:34,000
Speaker 1: come at us. It's going to shake things up, because

515
00:24:34,000 --> 00:24:34,840
Speaker 1: it always does.

516
00:24:35,200 --> 00:24:37,199
Speaker 2: Yeah, I hope, so I think listen, you know, we

517
00:24:37,240 --> 00:24:39,080
Speaker 2: cover the news. I would like for it to be interesting.

518
00:24:39,119 --> 00:24:41,000
Speaker 2: Biden and Trump is the least interesting thing I think

519
00:24:41,040 --> 00:24:42,359
Speaker 2: they could possibly happen.

520
00:24:42,520 --> 00:24:43,639
Speaker 1: I don't know exactly what we're going to do.

521
00:24:43,800 --> 00:24:45,240
Speaker 2: Here's a problem with curveball. Who knows, you know, I

522
00:24:45,280 --> 00:24:46,840
Speaker 2: don't know what it's going to look like. It could

523
00:24:46,880 --> 00:24:49,239
Speaker 2: be terrible. So maybe the curb right fun things that

524
00:24:49,359 --> 00:24:51,880
Speaker 2: you know couldn't necessarily happen. But I do agree that

525
00:24:51,920 --> 00:24:54,879
Speaker 2: the things do seem so predictable. It does feel like

526
00:24:54,920 --> 00:24:58,400
Speaker 2: the writers need to throw something in to get things interesting.

527
00:24:58,440 --> 00:25:00,280
Speaker 2: The big problem I think for the debates is if

528
00:25:00,320 --> 00:25:02,480
Speaker 2: Trump's not there, who cares? I mean, I'm sure you

529
00:25:02,480 --> 00:25:06,760
Speaker 2: remember this. The twenty fifteen GOP debates. Those weren't political events.

530
00:25:06,760 --> 00:25:10,080
Speaker 2: That was a cultural event in America. A million people

531
00:25:10,119 --> 00:25:12,600
Speaker 2: should go back and look at the ratings versus almost

532
00:25:12,680 --> 00:25:15,440
Speaker 2: all previous ones. The very first debate, and Trump didn't

533
00:25:15,480 --> 00:25:17,480
Speaker 2: you know, he delivered. If we're thinking in terms of

534
00:25:17,520 --> 00:25:21,639
Speaker 2: YouTube metrics, he certainly grabbed people's attention and kept retention throughout.

535
00:25:21,680 --> 00:25:23,640
Speaker 2: Because what's the very first thing he said? He said,

536
00:25:23,640 --> 00:25:26,320
Speaker 2: I've only called what do you say, I've only rosy

537
00:25:26,359 --> 00:25:29,680
Speaker 2: O'Donnell in terms of calling women pigs or fat or

538
00:25:29,720 --> 00:25:32,960
Speaker 2: something like that, and then you know, refuses to raise

539
00:25:33,000 --> 00:25:36,639
Speaker 2: his hand saying that he won't commit to supporting the

540
00:25:36,680 --> 00:25:39,280
Speaker 2: GOP nomineem. He got people glued to that screen. He

541
00:25:39,359 --> 00:25:43,280
Speaker 2: turned it into a genuine media event. You know, Rand Paul,

542
00:25:43,320 --> 00:25:45,760
Speaker 2: He's like, why is Rand Paul even on this stage?

543
00:25:45,760 --> 00:25:47,440
Speaker 2: That was just debate number one, And there were these

544
00:25:47,480 --> 00:25:51,080
Speaker 2: events over and over and over again which were very beneficial,

545
00:25:51,119 --> 00:25:53,520
Speaker 2: I think, to him in the long run, and turned

546
00:25:53,560 --> 00:25:56,720
Speaker 2: it into a circus which overall helped his poll numbers.

547
00:25:56,760 --> 00:25:59,520
Speaker 2: Without that Trump factor, I do think it will be

548
00:25:59,560 --> 00:26:02,080
Speaker 2: difficult to actually get people to even watch this thing.

549
00:26:02,400 --> 00:26:04,960
Speaker 1: You know, I'm gonna throw a hot take out there,

550
00:26:05,040 --> 00:26:07,080
Speaker 1: which is I don't think Chris Christy is going to

551
00:26:07,119 --> 00:26:08,840
Speaker 1: be the GP nominee, but I think he's going to

552
00:26:08,920 --> 00:26:12,600
Speaker 1: be more consequential than we are expecting, just because there

553
00:26:12,680 --> 00:26:15,880
Speaker 1: is something compelling about the dude is out there. First

554
00:26:15,880 --> 00:26:17,919
Speaker 1: of all, I've always thought he's, you know, a genuine

555
00:26:17,960 --> 00:26:21,000
Speaker 1: political talent. I think of the everybody outside of Trump,

556
00:26:21,000 --> 00:26:24,359
Speaker 1: I think he's the most politically talented of the candidates

557
00:26:24,359 --> 00:26:28,240
Speaker 1: in the Republican field. And there is something compelling about

558
00:26:28,280 --> 00:26:30,239
Speaker 1: someone who's just willing to go out and say it

559
00:26:30,320 --> 00:26:32,320
Speaker 1: and not like pull punches and not do all this

560
00:26:32,440 --> 00:26:34,639
Speaker 1: weird awkward like, well, I love Donald Trump, but I

561
00:26:34,720 --> 00:26:36,520
Speaker 1: just think we should move on. For reasons that I'm

562
00:26:36,560 --> 00:26:39,400
Speaker 1: unwilling to state the fact that he just goes out there.

563
00:26:39,480 --> 00:26:41,760
Speaker 1: He takes you know, he throws his punches, he says

564
00:26:41,800 --> 00:26:45,320
Speaker 1: what it feels like, he really thinks. I do think

565
00:26:45,359 --> 00:26:49,720
Speaker 1: that he will consolidate the actual like anti Trump part

566
00:26:49,760 --> 00:26:52,320
Speaker 1: of the GOP base. Now that's not a huge percentage,

567
00:26:52,400 --> 00:26:55,879
Speaker 1: but in certain states it could be a significant percentage

568
00:26:55,920 --> 00:26:58,919
Speaker 1: of the Republican electorate. I just saw a New Hampshire

569
00:26:58,920 --> 00:27:01,280
Speaker 1: poll that had Christy moving into third, and he's in

570
00:27:01,320 --> 00:27:03,760
Speaker 1: double digits, and he's leapfrogged over a number of other

571
00:27:03,800 --> 00:27:06,440
Speaker 1: candidates who are ahead of him in terms of fundraising

572
00:27:06,440 --> 00:27:10,280
Speaker 1: and media attention, et cetera. And I certainly think in

573
00:27:10,400 --> 00:27:13,720
Speaker 1: terms of the debates, like if I was Ron DeSantis

574
00:27:13,760 --> 00:27:16,159
Speaker 1: preparing for these debates, the person I would definitely be

575
00:27:16,280 --> 00:27:19,119
Speaker 1: most wary of would be Chris Christie because we know

576
00:27:19,240 --> 00:27:21,800
Speaker 1: what kind of damage he can do when he goes

577
00:27:21,840 --> 00:27:24,399
Speaker 1: on a tear, So he would be the person that

578
00:27:24,480 --> 00:27:28,080
Speaker 1: I would be most aggressively preparing for and figuring out

579
00:27:28,119 --> 00:27:30,200
Speaker 1: how I could parry whatever a tax he might throw

580
00:27:30,200 --> 00:27:30,439
Speaker 1: at you.

581
00:27:30,520 --> 00:27:32,600
Speaker 3: I think you're right. I also think Ramaswami is a

582
00:27:33,000 --> 00:27:34,000
Speaker 3: I think he's a dark horse.

583
00:27:34,040 --> 00:27:37,040
Speaker 1: Kids. Yeah, that's true. He's comfortable on his feet.

584
00:27:36,880 --> 00:27:40,160
Speaker 2: Yeah, very comfortable on his feet. He is very he's

585
00:27:40,280 --> 00:27:43,720
Speaker 2: because he has a legal background. He is very good

586
00:27:43,760 --> 00:27:47,760
Speaker 2: at almost legalistically working through different things. And I've watched

587
00:27:47,800 --> 00:27:50,520
Speaker 2: him do it a couple of pass in CNN panels,

588
00:27:50,560 --> 00:27:52,840
Speaker 2: like arguing over charges against Trump.

589
00:27:53,160 --> 00:27:55,480
Speaker 3: Of course, in that famous debate, I guess against.

590
00:27:55,359 --> 00:27:58,880
Speaker 2: Don Lemon, But I think that his ability to try

591
00:27:59,000 --> 00:28:01,320
Speaker 2: and throw something out of left field, like some sort

592
00:28:01,320 --> 00:28:04,080
Speaker 2: of pledge that sounds interesting, but it's one that the

593
00:28:04,359 --> 00:28:07,439
Speaker 2: Rod Destanta's campaign won't want to back themselves to a

594
00:28:07,480 --> 00:28:08,400
Speaker 2: foreigner or something like that.

595
00:28:08,600 --> 00:28:09,480
Speaker 3: I really could see it.

596
00:28:09,520 --> 00:28:11,760
Speaker 2: He's he does it sometimes on Twitter wile issue like

597
00:28:12,000 --> 00:28:14,400
Speaker 2: you know, pledges and things that Cannon should take, which

598
00:28:14,480 --> 00:28:16,720
Speaker 2: you know many candidates don't do because they don't want

599
00:28:16,760 --> 00:28:19,399
Speaker 2: to put themselves on his ground. So I could very

600
00:28:19,480 --> 00:28:22,440
Speaker 2: much see him kind of boxing Ron de Santis, possibly

601
00:28:22,560 --> 00:28:23,760
Speaker 2: rhetorically at the very least.

602
00:28:23,800 --> 00:28:26,200
Speaker 1: I mean, I saw someone on Twitter. I'll just steal

603
00:28:26,200 --> 00:28:28,840
Speaker 1: their take. It tells you everything about the Republican primary

604
00:28:28,840 --> 00:28:31,320
Speaker 1: that the candidate in the Republican primary who has the

605
00:28:31,320 --> 00:28:34,680
Speaker 1: most online energy is Vivek Ramaswami, whose whole thing is

606
00:28:34,720 --> 00:28:38,240
Speaker 1: basically being like Trump was great. I tell you where

607
00:28:38,280 --> 00:28:41,640
Speaker 1: the bulk of the Republican base actually is. And you know,

608
00:28:41,680 --> 00:28:44,760
Speaker 1: he does have a lot, especially of online energy behind him.

609
00:28:44,960 --> 00:28:47,880
Speaker 1: I was frankly surprised he didn't have higher Grossro's fundraising numbers.

610
00:28:47,960 --> 00:28:51,280
Speaker 1: I thought he would have a pretty good fundraising hall,

611
00:28:51,320 --> 00:28:54,600
Speaker 1: but the overwhelming majority of his contributions actually came directly

612
00:28:54,640 --> 00:28:56,480
Speaker 1: from his own bank account.

613
00:28:56,200 --> 00:28:57,000
Speaker 3: So I agree.

614
00:28:57,120 --> 00:28:59,600
Speaker 2: Yeah, I mean, listen, the problem with Twitter is that

615
00:28:59,680 --> 00:29:01,960
Speaker 2: it is self contained universe. It's one of those things

616
00:29:01,960 --> 00:29:03,960
Speaker 2: which is real until it's really not real. And I

617
00:29:03,960 --> 00:29:06,400
Speaker 2: think that every time that it's not real is whenever

618
00:29:06,440 --> 00:29:10,400
Speaker 2: we extend into actual electoral politics. There are so many

619
00:29:10,480 --> 00:29:13,680
Speaker 2: millions of people who engage with the political system in

620
00:29:13,720 --> 00:29:16,000
Speaker 2: a way that is very difficult for all of us

621
00:29:16,040 --> 00:29:18,560
Speaker 2: who kind of live in this world to conceive. I mean,

622
00:29:18,600 --> 00:29:20,160
Speaker 2: I've said this before, I know I shocked some of

623
00:29:20,200 --> 00:29:21,920
Speaker 2: our viewers. If you watch our show every day, you

624
00:29:21,960 --> 00:29:24,080
Speaker 2: are absolutely at least in the top one or two

625
00:29:24,120 --> 00:29:27,520
Speaker 2: percent of political consumption in the entire US, a huge

626
00:29:27,520 --> 00:29:30,600
Speaker 2: outlier compared to the general population. And if you watch

627
00:29:30,640 --> 00:29:32,640
Speaker 2: the news or even really check in with the news

628
00:29:32,880 --> 00:29:34,800
Speaker 2: on a day to day basis, you remain probably in

629
00:29:34,800 --> 00:29:37,280
Speaker 2: the top like five to ten percent. The average person

630
00:29:37,320 --> 00:29:39,760
Speaker 2: in this country does not think about politics really at all.

631
00:29:39,800 --> 00:29:41,400
Speaker 3: They barely knew who the president is.

632
00:29:41,600 --> 00:29:43,920
Speaker 2: Every once in a while it infiltrates an Instagram feed

633
00:29:44,040 --> 00:29:45,959
Speaker 2: or comes in by a culture, but it is one

634
00:29:46,000 --> 00:29:46,760
Speaker 2: of those which.

635
00:29:46,520 --> 00:29:49,240
Speaker 3: Is remains very very distant and off, so you always

636
00:29:49,240 --> 00:29:49,520
Speaker 3: have to.

637
00:29:49,440 --> 00:29:51,920
Speaker 2: Think about that person, not about the people sitting at

638
00:29:51,960 --> 00:29:53,880
Speaker 2: this desk or the people who are watching.

639
00:29:53,680 --> 00:29:56,000
Speaker 1: This show, and how what percentage of even the online

640
00:29:56,000 --> 00:29:59,320
Speaker 1: support for the day. Exactly are people do people who

641
00:29:59,320 --> 00:30:01,840
Speaker 1: are like I'm voting for Donald Trump, like I like

642
00:30:01,920 --> 00:30:04,320
Speaker 1: you because you like Donald Trump, and I also like

643
00:30:04,400 --> 00:30:06,640
Speaker 1: Donald Trump, but I'm voting for Donald Trump. I mean,

644
00:30:06,680 --> 00:30:08,440
Speaker 1: based on the polling, it seems like there's a good

645
00:30:08,520 --> 00:30:10,200
Speaker 1: chunk that are in that category.

646
00:30:10,240 --> 00:30:14,720
Speaker 3: Absolutely correct. Let's go to the next part here.

647
00:30:14,800 --> 00:30:17,440
Speaker 2: A really interesting event with the Faith and Family Summit

648
00:30:17,600 --> 00:30:20,560
Speaker 2: sponsored by Blaze Media, which they got big coup for

649
00:30:20,600 --> 00:30:24,000
Speaker 2: them actually considering that Glenn Beck is their major media personality,

650
00:30:24,000 --> 00:30:26,520
Speaker 2: They're like, no, let's get Tucker Carlston actually to do it.

651
00:30:26,560 --> 00:30:29,000
Speaker 2: So Tucker, I guess, on the heels of firing from

652
00:30:29,040 --> 00:30:31,040
Speaker 2: Fox News, got to sit down with some of the

653
00:30:31,160 --> 00:30:35,920
Speaker 2: GOP candidates. There were two particular exchanges that Tucker really

654
00:30:35,960 --> 00:30:39,400
Speaker 2: decided to go in against. One was a former Vice

655
00:30:39,440 --> 00:30:42,240
Speaker 2: President Mike Pence, not on stop the Steal, but on

656
00:30:42,400 --> 00:30:46,400
Speaker 2: Ukraine and on religious freedom inside of Ukraine. Number two

657
00:30:46,440 --> 00:30:48,840
Speaker 2: also was with Tim Scott also hitting him for his

658
00:30:48,920 --> 00:30:51,360
Speaker 2: stance on Ukraine, kind of holding him to the Tucker

659
00:30:51,480 --> 00:30:54,360
Speaker 2: no more nationalist standard and the more Trumpian standard on

660
00:30:54,400 --> 00:30:54,880
Speaker 2: the issue.

661
00:30:54,960 --> 00:30:56,280
Speaker 3: Here's what he had to say.

662
00:30:56,440 --> 00:30:59,800
Speaker 6: You are, you are distressed that the Ukrainians don't have

663
00:31:00,160 --> 00:31:03,960
Speaker 6: enough American tanks. Every city in the United States has

664
00:31:04,000 --> 00:31:07,320
Speaker 6: become much worse over the past three years.

665
00:31:07,800 --> 00:31:08,480
Speaker 4: Drive around.

666
00:31:08,480 --> 00:31:11,479
Speaker 6: There's not one city that's gotten better in the United States,

667
00:31:11,840 --> 00:31:16,120
Speaker 6: and it's visible. Our economy has degraded, the suicide rate

668
00:31:16,160 --> 00:31:21,400
Speaker 6: has jumped, public filth and disorder and crime have exponentially increased.

669
00:31:22,160 --> 00:31:26,120
Speaker 6: And yet your concern is that the Ukrainians, a country

670
00:31:26,120 --> 00:31:29,160
Speaker 6: most people can't find out a map, who've received tens

671
00:31:29,200 --> 00:31:31,920
Speaker 6: of billions of US tax dollars, don't have enough tanks.

672
00:31:32,120 --> 00:31:34,400
Speaker 6: I think it's a fair question to ask, like, where's

673
00:31:34,440 --> 00:31:35,960
Speaker 6: the concern for the United States in that?

674
00:31:36,160 --> 00:31:40,400
Speaker 7: Oh, it's not my concern, Tucker. I've heard that routine

675
00:31:40,440 --> 00:31:43,840
Speaker 7: from you before, But that's not my concern. I'm running

676
00:31:43,840 --> 00:31:45,520
Speaker 7: for President of the United States because I think this

677
00:31:45,600 --> 00:31:46,160
Speaker 7: country's in.

678
00:31:46,080 --> 00:31:46,720
Speaker 4: A lot of trouble.

679
00:31:47,680 --> 00:31:50,680
Speaker 7: I think Joe Biden is weakened America at home and abroad.

680
00:31:51,760 --> 00:31:53,600
Speaker 7: And as President of the United States, we're going to

681
00:31:53,640 --> 00:31:55,800
Speaker 7: store law and order in our cities. We're going to

682
00:31:55,800 --> 00:31:58,720
Speaker 7: secure our border, we're going to get this economy move

683
00:31:58,760 --> 00:32:00,760
Speaker 7: it again, and we're going to make make sure that

684
00:32:00,840 --> 00:32:03,240
Speaker 7: we have men and women on our courts at every

685
00:32:03,360 --> 00:32:05,959
Speaker 7: level that will stand for the right to life and

686
00:32:06,080 --> 00:32:09,480
Speaker 7: defend all the God given liberties enshrined in our Constitution.

687
00:32:10,320 --> 00:32:12,640
Speaker 7: Anybody that says that we can't be the leader of

688
00:32:12,680 --> 00:32:15,960
Speaker 7: the free world and solve our problems at home has

689
00:32:16,000 --> 00:32:18,680
Speaker 7: a pretty small view of the greatest nation on Earth.

690
00:32:19,200 --> 00:32:20,320
Speaker 4: We can do both.

691
00:32:20,560 --> 00:32:23,400
Speaker 3: Tim Scott was also pressed there on Ukraine. Crystal.

692
00:32:23,680 --> 00:32:26,440
Speaker 2: I'm pretty sure he meant to say, that's not my

693
00:32:26,560 --> 00:32:29,200
Speaker 2: concern whenever it came to Ukraine doesn't have enough tanks,

694
00:32:29,200 --> 00:32:32,000
Speaker 2: but we pretty bad enough. Look whenever you're being pressed

695
00:32:32,040 --> 00:32:36,040
Speaker 2: there on the actual weather America cities, and they should

696
00:32:36,040 --> 00:32:39,760
Speaker 2: be receiving some sort of increase. But this goes to

697
00:32:39,840 --> 00:32:42,440
Speaker 2: show I think that Tucker did remain one of the

698
00:32:42,480 --> 00:32:46,240
Speaker 2: only forces that was willing to press mainstream Republicans. I

699
00:32:46,280 --> 00:32:48,760
Speaker 2: don't know from what direction, but from I guess more

700
00:32:48,840 --> 00:32:52,360
Speaker 2: anti war direction, more skeptical direction whenever it came to

701
00:32:52,720 --> 00:32:56,360
Speaker 2: aid towards Ukraine, and that this is a very rare

702
00:32:56,440 --> 00:32:59,320
Speaker 2: line of argumentation that we have seen yet for some

703
00:32:59,360 --> 00:33:01,800
Speaker 2: of these candidates. So I was interested, actually to see

704
00:33:01,920 --> 00:33:03,320
Speaker 2: from Mike Pents. I actually think it would be a

705
00:33:03,320 --> 00:33:06,520
Speaker 2: bigger deal if Mike Pence was doing better in the

706
00:33:06,640 --> 00:33:09,640
Speaker 2: space she didn't. Actually, I will say this, Tucker was

707
00:33:09,680 --> 00:33:12,040
Speaker 2: I think a lot kinder to Ron DeSantis, even though

708
00:33:12,040 --> 00:33:15,000
Speaker 2: the DeSantis has been a little bit more wishy washy

709
00:33:15,360 --> 00:33:16,880
Speaker 2: on the issue of Ukraine.

710
00:33:16,960 --> 00:33:19,440
Speaker 3: Interesting, so I did certainly take note of that.

711
00:33:19,560 --> 00:33:23,360
Speaker 1: Interesting. Yeah, I mean, I guess here's my sense of

712
00:33:23,400 --> 00:33:28,360
Speaker 1: how the Ukrainian War will play with the Republican primary voters.

713
00:33:28,480 --> 00:33:30,560
Speaker 1: I think there is a chunk of them that is

714
00:33:30,640 --> 00:33:33,320
Speaker 1: this is a really important issue for them, and that

715
00:33:33,440 --> 00:33:35,880
Speaker 1: like basically all of the people who will be voting

716
00:33:35,920 --> 00:33:38,920
Speaker 1: on Ukraine War in the Republican primary hold the Trump

717
00:33:38,960 --> 00:33:42,080
Speaker 1: position and hold the Tucker position. So that's why there's

718
00:33:42,280 --> 00:33:43,760
Speaker 1: you know, in a space like this, this is like

719
00:33:43,880 --> 00:33:46,000
Speaker 1: niche activist kind of a space, so you can't take

720
00:33:46,040 --> 00:33:48,360
Speaker 1: too much from it and you can't extrapolate too much

721
00:33:48,400 --> 00:33:51,240
Speaker 1: from it to the broader GOP base. But I do

722
00:33:51,280 --> 00:33:52,840
Speaker 1: think to the extent that there is a group of

723
00:33:52,920 --> 00:33:56,080
Speaker 1: voters in the Republican primary who are voting on Ukraine,

724
00:33:56,120 --> 00:33:57,920
Speaker 1: and I do think that that group exists. I think

725
00:33:57,960 --> 00:34:00,719
Speaker 1: they all have the Donald Trump position. So if you

726
00:34:00,760 --> 00:34:03,800
Speaker 1: aren't clearly in that position, you're basically like cutting yourself

727
00:34:03,800 --> 00:34:07,280
Speaker 1: off from whatever ten percent or you know, fifteen percent.

728
00:34:07,280 --> 00:34:09,040
Speaker 1: I'm just pulling these numbers out of thin air of

729
00:34:09,120 --> 00:34:13,080
Speaker 1: the GOP base that is really really focused on that issue.

730
00:34:13,360 --> 00:34:16,879
Speaker 1: So overall, though, the pulling from the republic even from

731
00:34:16,880 --> 00:34:19,680
Speaker 1: the Republican base is fairly mixed. Still on Ukraine, it's

732
00:34:19,719 --> 00:34:23,479
Speaker 1: not the overwhelming numbers that it feels like when you're

733
00:34:23,640 --> 00:34:27,799
Speaker 1: watching that audience react. I think there's more of an

734
00:34:27,800 --> 00:34:29,560
Speaker 1: issue for I mean, Mike Pence has a lot of

735
00:34:29,560 --> 00:34:31,320
Speaker 1: issue in this race, but I think more of the

736
00:34:31,400 --> 00:34:33,480
Speaker 1: issue for him is he just feels very sort of

737
00:34:33,520 --> 00:34:37,000
Speaker 1: like week. It feels easy for him to be humiliated.

738
00:34:37,040 --> 00:34:39,439
Speaker 1: It feels like he was humiliated by Trump for four

739
00:34:39,520 --> 00:34:42,879
Speaker 1: years of the presidency, and he doesn't have the kind

740
00:34:42,960 --> 00:34:48,839
Speaker 1: of like fighter, strong, whatever vibes that it feels to

741
00:34:48,840 --> 00:34:50,000
Speaker 1: me like the base is looking for.

742
00:34:50,080 --> 00:34:51,799
Speaker 2: I think you're right, and you know, I think, look,

743
00:34:51,920 --> 00:34:54,000
Speaker 2: I mean, I've always said this about Ukraine. We spend

744
00:34:54,000 --> 00:34:55,839
Speaker 2: a lot of time covering Ukraine here because we think

745
00:34:55,880 --> 00:34:59,320
Speaker 2: it's important to like the geopolitical situation. But like neither

746
00:34:59,400 --> 00:35:02,120
Speaker 2: of us, crystal whatever, delude ourselves into thinking like yeah,

747
00:35:02,160 --> 00:35:04,520
Speaker 2: this is the most popular issue. I can guarantee you

748
00:35:04,800 --> 00:35:06,799
Speaker 2: if we wanted to be quote more popular, we would

749
00:35:06,840 --> 00:35:09,920
Speaker 2: spend way less time actually talking about Ukraine. In the

750
00:35:09,960 --> 00:35:12,240
Speaker 2: allusion to what we were talking about in our previous

751
00:35:12,320 --> 00:35:16,120
Speaker 2: block about people who actually consume politics, last time I checked,

752
00:35:16,160 --> 00:35:19,239
Speaker 2: foreign affairs ranks at zero percent in terms of the

753
00:35:19,239 --> 00:35:23,080
Speaker 2: most important issue for people whenever they vote. So once again,

754
00:35:23,160 --> 00:35:25,840
Speaker 2: just always try internalize, like where you are versus the

755
00:35:25,880 --> 00:35:28,400
Speaker 2: general population. Most people don't think about Ukraine to the

756
00:35:28,440 --> 00:35:30,360
Speaker 2: extent that they do. They're like, yeah, we should help them,

757
00:35:30,400 --> 00:35:33,080
Speaker 2: but they don't know anything about cluster munitions or anything

758
00:35:33,080 --> 00:35:35,279
Speaker 2: about what's actually going on there. They couldn't tell you

759
00:35:35,320 --> 00:35:39,040
Speaker 2: who what crimea is. They could barely point to Ukraine

760
00:35:39,080 --> 00:35:42,280
Speaker 2: on a map. They think Putin is bad. That's basically

761
00:35:42,360 --> 00:35:45,040
Speaker 2: the extent to which they think about the conflict. So

762
00:35:45,360 --> 00:35:47,640
Speaker 2: whenever it does come to this, it probably is more

763
00:35:47,719 --> 00:35:50,560
Speaker 2: important in these types of interviews for pressing them on

764
00:35:50,840 --> 00:35:53,920
Speaker 2: the policy that they may enact whenever they are president.

765
00:35:54,200 --> 00:35:56,840
Speaker 2: And then, second, as you said, to the extent that

766
00:35:56,880 --> 00:35:59,200
Speaker 2: a GOP primary voter is thinking about this at all,

767
00:35:59,520 --> 00:36:02,440
Speaker 2: they are only thinking about this as Pence taking a

768
00:36:02,440 --> 00:36:04,920
Speaker 2: different position than Trump. They're going to think of it

769
00:36:04,960 --> 00:36:08,560
Speaker 2: as Trump coded, not really about Ukraine and the aid itself,

770
00:36:08,600 --> 00:36:11,719
Speaker 2: although maybe you know some people whenever they're looking at

771
00:36:11,760 --> 00:36:13,680
Speaker 2: this same I really think with Tim Scott.

772
00:36:13,760 --> 00:36:15,120
Speaker 3: So it's an interesting issue always to.

773
00:36:15,080 --> 00:36:17,359
Speaker 2: Think and to look at, you know, politically, in terms

774
00:36:17,360 --> 00:36:19,960
Speaker 2: of how it will actually code in the primary. But overall,

775
00:36:19,960 --> 00:36:21,960
Speaker 2: I don't think it's going to be the most important

776
00:36:21,960 --> 00:36:24,480
Speaker 2: issue is really Trump is the center of gravity.

777
00:36:24,560 --> 00:36:26,560
Speaker 3: That said, you can't see.

778
00:36:26,680 --> 00:36:30,960
Speaker 2: Tucker did talk about his what they people are calling

779
00:36:31,200 --> 00:36:34,440
Speaker 2: the defenstration of Mike Pence there on the stage at

780
00:36:34,440 --> 00:36:37,919
Speaker 2: a Turning Point action conference, and the crowd actually went

781
00:36:38,120 --> 00:36:41,600
Speaker 2: wild in terms of the pressing of Mike Pence and

782
00:36:41,640 --> 00:36:43,520
Speaker 2: about humiliating him on the stage.

783
00:36:43,600 --> 00:36:45,000
Speaker 3: Here's the response that they gave.

784
00:36:45,160 --> 00:36:49,680
Speaker 6: I won't attack anyone on personal grounds or by name.

785
00:36:50,840 --> 00:36:51,440
Speaker 1: It's tempting.

786
00:36:51,600 --> 00:36:52,520
Speaker 3: I will say, it's tempting.

787
00:36:52,520 --> 00:36:55,000
Speaker 6: Who ever said do it, You're the devil on my shoulder.

788
00:36:59,120 --> 00:36:59,440
Speaker 8: Do it.

789
00:37:01,840 --> 00:37:03,840
Speaker 3: I've I've spent my whole life.

790
00:37:05,360 --> 00:37:08,560
Speaker 6: No, no, no no. But if I could make some

791
00:37:08,680 --> 00:37:11,960
Speaker 6: general observations which I think are more edifying than just

792
00:37:12,000 --> 00:37:16,520
Speaker 6: like savaging Mike Pence, I think.

793
00:37:19,080 --> 00:37:22,239
Speaker 1: Which I'm not gonna do because that would be.

794
00:37:22,200 --> 00:37:25,880
Speaker 6: Wrong, and it would be wrong because it's too easy

795
00:37:26,040 --> 00:37:28,279
Speaker 6: and the easy things are not rewarding, are they. You

796
00:37:28,280 --> 00:37:30,919
Speaker 6: don't feel good when you beat your five year old

797
00:37:30,920 --> 00:37:32,040
Speaker 6: in soccer or ping pong?

798
00:37:32,200 --> 00:37:35,880
Speaker 2: Like what crowd has no love there for Mike Pence.

799
00:37:36,120 --> 00:37:39,040
Speaker 2: And look, let's be clear, it's a turning point action conference.

800
00:37:39,120 --> 00:37:41,359
Speaker 2: These are all Charlie Kirk people. These were all mag

801
00:37:41,360 --> 00:37:43,840
Speaker 2: of people, so they're all with predisposed you know, not

802
00:37:43,920 --> 00:37:47,160
Speaker 2: the kindest audience I guess, towards Mike Pence anyways. But

803
00:37:47,400 --> 00:37:48,880
Speaker 2: you know, it does bear it out in terms of

804
00:37:48,920 --> 00:37:50,279
Speaker 2: the way that a lot of people do feel about

805
00:37:50,280 --> 00:37:51,240
Speaker 2: Mike Pence in the primary.

806
00:37:51,280 --> 00:37:53,880
Speaker 1: Yeah, and it reminds me of the vibes during that

807
00:37:54,160 --> 00:37:57,480
Speaker 1: twenty sixteen up primary where listen, it was fun to

808
00:37:57,520 --> 00:37:58,640
Speaker 1: watch Trump savage.

809
00:37:58,640 --> 00:37:59,040
Speaker 3: It is fun.

810
00:37:59,080 --> 00:38:02,200
Speaker 1: It's funnavage Jeb Bush and these other MARKA. Ruby and

811
00:38:02,200 --> 00:38:05,279
Speaker 1: these other like weird losers. And you know, that's how

812
00:38:05,280 --> 00:38:08,440
Speaker 1: the Republican base feels about Mike Pence. Some segment of

813
00:38:08,440 --> 00:38:10,640
Speaker 1: them were literally running around the Capitol calling for him

814
00:38:10,640 --> 00:38:13,320
Speaker 1: to be hung on January sixth, So not a lot

815
00:38:13,320 --> 00:38:16,080
Speaker 1: of love for him. There, and so yeah, they're enjoying

816
00:38:16,160 --> 00:38:19,719
Speaker 1: watching his moment of public humiliation. And you know, even

817
00:38:19,760 --> 00:38:22,080
Speaker 1: though listen Mike Pence and his answer to Tucker, I

818
00:38:22,120 --> 00:38:23,920
Speaker 1: think he was talking about like, my concern is not

819
00:38:24,200 --> 00:38:27,200
Speaker 1: that there aren't enough American tanks in Ukraine, but it

820
00:38:27,280 --> 00:38:31,520
Speaker 1: really he really could have done a better job acknowledging that, Yes,

821
00:38:31,640 --> 00:38:33,680
Speaker 1: I think there's a lot of pain in America that

822
00:38:33,800 --> 00:38:36,160
Speaker 1: needs to be addressed. And he actually, in a lot

823
00:38:36,160 --> 00:38:38,279
Speaker 1: of ways, Tucker gave him a wide open chance. He

824
00:38:38,400 --> 00:38:41,560
Speaker 1: really did to pivot off of Ukraine, an issue where

825
00:38:41,640 --> 00:38:44,279
Speaker 1: he knows with that audience in particular, he's going to

826
00:38:44,280 --> 00:38:47,239
Speaker 1: be at odds with them. Two, here's what I want

827
00:38:47,239 --> 00:38:49,720
Speaker 1: to do with regard to, you know, the domestic economy.

828
00:38:49,760 --> 00:38:51,200
Speaker 1: And here's what I want to do with regards to

829
00:38:51,280 --> 00:38:53,799
Speaker 1: my plan for revitalizing these cities or whatever it is

830
00:38:53,800 --> 00:38:55,719
Speaker 1: that Mike Pence wants to do. I really don't even know.

831
00:38:56,200 --> 00:38:59,239
Speaker 1: But it was actually a great political opening for him

832
00:38:59,239 --> 00:39:00,920
Speaker 1: to be able to pivot to some of those areas

833
00:39:00,960 --> 00:39:03,839
Speaker 1: where he might be more in step with the Republican base.

834
00:39:03,880 --> 00:39:07,239
Speaker 1: And so it also just shows a level of you know,

835
00:39:07,400 --> 00:39:12,040
Speaker 1: political in artfulness and inability to move, think on your feet,

836
00:39:12,239 --> 00:39:14,480
Speaker 1: be nimble in a difficult situation.

837
00:39:14,600 --> 00:39:16,799
Speaker 3: Ultimately, yeah, I think you're correct, all right.

838
00:39:16,840 --> 00:39:20,000
Speaker 1: So let's get to the Democratic side of the equation here.

839
00:39:20,160 --> 00:39:22,920
Speaker 1: We already teased a little bit that Joe Biden's fundraising

840
00:39:23,160 --> 00:39:25,400
Speaker 1: also had some question marks attached to it. Let's go

841
00:39:25,440 --> 00:39:27,279
Speaker 1: and put this up on the screen from the New

842
00:39:27,360 --> 00:39:30,640
Speaker 1: York Times. You know a little bit of similar vibes

843
00:39:30,680 --> 00:39:34,239
Speaker 1: with the DeSantis campaign in that he raised a good

844
00:39:34,239 --> 00:39:37,160
Speaker 1: amount of money. He raised more than ten million dollars

845
00:39:37,200 --> 00:39:40,440
Speaker 1: actually thirty six hours from wealthy Democrats. Trips to Chicago,

846
00:39:40,480 --> 00:39:43,760
Speaker 1: New York netted millions more, as did fundraising events around Washington.

847
00:39:43,840 --> 00:39:47,200
Speaker 1: They write, proving the party's big donor class is fully

848
00:39:47,200 --> 00:39:52,000
Speaker 1: committed to mister Biden's reelection campaign. However, the small dollar

849
00:39:52,160 --> 00:39:56,320
Speaker 1: online money's bigot that helped mister Biden smash fundraising records

850
00:39:56,360 --> 00:39:59,239
Speaker 1: in twenty twenty has not yet turned on, and there

851
00:39:59,280 --> 00:40:02,400
Speaker 1: are ample sid that it may be months before it does.

852
00:40:02,520 --> 00:40:05,120
Speaker 1: I would say that maybe there's a question mark whether

853
00:40:05,200 --> 00:40:09,520
Speaker 1: it ever does. They raised ten point two million from

854
00:40:09,600 --> 00:40:13,280
Speaker 1: small donors between the Biden campaign and the Biden Victory Fund.

855
00:40:13,320 --> 00:40:15,760
Speaker 1: Those are those who gave two hundred dollars or less

856
00:40:16,000 --> 00:40:20,000
Speaker 1: during this quarter, and for context, that's about half of

857
00:40:20,040 --> 00:40:23,000
Speaker 1: what the Barack Obama and his reelect was able to

858
00:40:23,040 --> 00:40:26,560
Speaker 1: get from small dollar donors during the same percentage during

859
00:40:26,560 --> 00:40:30,200
Speaker 1: the same time frame. Now, I will say something that

860
00:40:30,400 --> 00:40:33,120
Speaker 1: is a benefit to Biden that is different from DeSantis

861
00:40:33,200 --> 00:40:36,200
Speaker 1: is he's not really doing anything, so his burden rate

862
00:40:36,320 --> 00:40:39,640
Speaker 1: is very low, like they're not really spending money at all.

863
00:40:40,000 --> 00:40:42,360
Speaker 1: And again, to be clear, like Joe Biden has a

864
00:40:42,400 --> 00:40:45,279
Speaker 1: lot of money. Big donors on the Democratic side, they're

865
00:40:45,280 --> 00:40:47,480
Speaker 1: all in for him. They're continuing to raise a lot

866
00:40:47,520 --> 00:40:49,400
Speaker 1: of money from him. He has the advantage of all

867
00:40:49,440 --> 00:40:51,840
Speaker 1: these different party committees and whatever. So it's not just

868
00:40:51,880 --> 00:40:54,719
Speaker 1: what he brings into directly into his campaign. So he's

869
00:40:54,760 --> 00:40:56,920
Speaker 1: got a big war chest. Money is not likely to

870
00:40:56,920 --> 00:40:58,759
Speaker 1: be a big problem for him. I think it's more

871
00:40:58,800 --> 00:41:02,800
Speaker 1: indicative of the fact that there is just negative excitement

872
00:41:03,080 --> 00:41:06,040
Speaker 1: for Joe Biden, even among the Democratic Party faithful. The

873
00:41:06,080 --> 00:41:08,279
Speaker 1: best you'll get out of people is like, I think

874
00:41:08,280 --> 00:41:10,759
Speaker 1: he's done a pretty decent job. That's about it, And

875
00:41:10,880 --> 00:41:14,120
Speaker 1: especially among young voters who in many ways feel betrayed

876
00:41:14,160 --> 00:41:16,480
Speaker 1: by some of the promises that he has failed to

877
00:41:16,560 --> 00:41:20,239
Speaker 1: deliver on, and are you know his approval rating has

878
00:41:20,280 --> 00:41:24,399
Speaker 1: fallen off a cliff among that demographic in particular, there

879
00:41:24,520 --> 00:41:28,439
Speaker 1: is little online enthusiasm for him, and there is next

880
00:41:28,480 --> 00:41:32,200
Speaker 1: to no grossrooms fundraising support for him. And so you know,

881
00:41:32,239 --> 00:41:34,439
Speaker 1: we've been saying this for a long time, but their

882
00:41:34,600 --> 00:41:37,360
Speaker 1: theory of the case is just one hundred percent. You

883
00:41:37,400 --> 00:41:39,839
Speaker 1: don't have to be excited about Joe. We're just going

884
00:41:39,880 --> 00:41:43,040
Speaker 1: to get you energized about what the horrific alternative is.

885
00:41:43,280 --> 00:41:46,720
Speaker 1: We're going to try to consolidate the anti Trump forces within,

886
00:41:47,080 --> 00:41:49,560
Speaker 1: you know, within America, regardless of where they fall on

887
00:41:49,600 --> 00:41:53,279
Speaker 1: the ideological spectrum. And their bet is that even with

888
00:41:53,400 --> 00:41:58,080
Speaker 1: a high level of dissatisfaction among some core Democratic constituencies,

889
00:41:58,440 --> 00:42:01,240
Speaker 1: that they will ultimately come home and vote for Biden

890
00:42:01,280 --> 00:42:03,440
Speaker 1: because they do not want four more years of Donald Trump.

891
00:42:03,440 --> 00:42:05,680
Speaker 2: I actually thought it was really interesting Crystal to benchmark

892
00:42:05,760 --> 00:42:08,960
Speaker 2: him against past presidents. So four years ago, in terms

893
00:42:08,960 --> 00:42:11,640
Speaker 2: of the money raised by Trump and his joint fundraising

894
00:42:11,640 --> 00:42:14,560
Speaker 2: committees while he was a sitting president, thirty five percent

895
00:42:14,600 --> 00:42:16,600
Speaker 2: of that money came from donors who gave two hundred

896
00:42:16,600 --> 00:42:19,200
Speaker 2: dollars or less for Biden, only twenty one percent of

897
00:42:19,200 --> 00:42:22,400
Speaker 2: funds to his campaign came from small donors. It also

898
00:42:22,520 --> 00:42:26,120
Speaker 2: can benchmark him against former President Obama from the last

899
00:42:26,120 --> 00:42:28,759
Speaker 2: time that he was running for reelection, only ten point

900
00:42:28,800 --> 00:42:32,200
Speaker 2: two million dollars in small dollar donations, as defined as

901
00:42:32,239 --> 00:42:33,800
Speaker 2: those who gave two hundred dollars or less.

902
00:42:33,920 --> 00:42:34,759
Speaker 3: That figure is.

903
00:42:34,840 --> 00:42:38,719
Speaker 2: Half of the twenty one million President Obama's campaign raised

904
00:42:38,760 --> 00:42:41,239
Speaker 2: during that same period in twenty twelve. So I think

905
00:42:41,239 --> 00:42:44,040
Speaker 2: if you benchmark him against Obama and a Trump, also

906
00:42:44,320 --> 00:42:47,080
Speaker 2: consider this adjust for inflation. That's even more pathetic, and

907
00:42:47,080 --> 00:42:48,879
Speaker 2: in terms of how much of inflation that we've had

908
00:42:49,239 --> 00:42:51,520
Speaker 2: over the last ten years. So just think about that

909
00:42:51,600 --> 00:42:55,520
Speaker 2: a little bit whenever we're benchmarking him to Obama. And

910
00:42:55,840 --> 00:42:57,640
Speaker 2: the reason why that figure really stood out to me

911
00:42:57,800 --> 00:43:00,160
Speaker 2: is Trump obviously, you know, he's like a god of

912
00:43:00,160 --> 00:43:02,520
Speaker 2: small dollar donations. He's really up there in a league

913
00:43:02,560 --> 00:43:05,040
Speaker 2: of his own with Bernie Sanders. There are two of

914
00:43:05,080 --> 00:43:07,399
Speaker 2: really the only two to play the game at such

915
00:43:07,400 --> 00:43:10,000
Speaker 2: a high level, getting average normal people to not only

916
00:43:10,040 --> 00:43:13,360
Speaker 2: one or two times, but multiple times shell out lots

917
00:43:13,360 --> 00:43:16,080
Speaker 2: of money on their behalf at a very wide scale.

918
00:43:16,160 --> 00:43:17,440
Speaker 3: Trump's genius, I guess was.

919
00:43:17,440 --> 00:43:19,600
Speaker 2: Being able to do that and get billionaires to donate

920
00:43:19,640 --> 00:43:23,279
Speaker 2: to his campaign for Biden. Whenever you're looking at this,

921
00:43:23,760 --> 00:43:27,680
Speaker 2: consider the level of enthusiasm, if he can even call

922
00:43:27,680 --> 00:43:30,160
Speaker 2: it that. We were both I guess involved in politics

923
00:43:30,200 --> 00:43:32,399
Speaker 2: at the time. Crystal, not that many people were into

924
00:43:32,440 --> 00:43:35,240
Speaker 2: Barack Obama in twenty twelve, and he was still able

925
00:43:35,320 --> 00:43:37,600
Speaker 2: to raise twenty one million dollars at that time.

926
00:43:37,800 --> 00:43:40,720
Speaker 1: I disagree with that. I think there's a key difference

927
00:43:40,760 --> 00:43:43,960
Speaker 1: between Biden and Obama in that period. Even in twenty twelve,

928
00:43:45,080 --> 00:43:47,480
Speaker 1: you know, as the hope and change like some of

929
00:43:47,480 --> 00:43:49,919
Speaker 1: that had worn off, Democrats still freaking love.

930
00:43:49,840 --> 00:43:50,879
Speaker 3: This uf that I truly did love him.

931
00:43:50,880 --> 00:43:53,200
Speaker 1: I mean they even in twenty twelve. You know, I

932
00:43:53,239 --> 00:43:55,120
Speaker 1: was at AMSBC at the time, so I was at

933
00:43:55,120 --> 00:43:58,399
Speaker 1: the beating heart of the pro Barack Obama media, and

934
00:43:59,000 --> 00:44:02,359
Speaker 1: the Democratic base really loved this guy. And they still do.

935
00:44:02,560 --> 00:44:04,719
Speaker 1: I mean, in spite of you know, all of my

936
00:44:05,040 --> 00:44:07,000
Speaker 1: you can see my monologues on him to see how

937
00:44:07,040 --> 00:44:09,640
Speaker 1: I feel about him, but the Democratic base still really

938
00:44:09,640 --> 00:44:13,440
Speaker 1: loves Barack Obama. Barack Obama is an extraordinarily talented politician.

939
00:44:13,560 --> 00:44:18,000
Speaker 1: Joe Biden never had Barack Obama levels of enthusiasm. He

940
00:44:18,120 --> 00:44:20,440
Speaker 1: certainly doesn't have them now, and he doesn't have Barack

941
00:44:20,440 --> 00:44:23,400
Speaker 1: Obama levels of talent, especially at this point in his career.

942
00:44:23,840 --> 00:44:26,680
Speaker 1: So I think the other thing that I was thinking

943
00:44:26,680 --> 00:44:30,360
Speaker 1: about is, remember that Barack Obama campaign got off to

944
00:44:30,480 --> 00:44:34,160
Speaker 1: a really early start and was very effective at defining

945
00:44:34,200 --> 00:44:36,960
Speaker 1: Mitt Romney out of the gates. They spent a lot

946
00:44:36,960 --> 00:44:38,720
Speaker 1: of money early. There was a lot of hand ringing

947
00:44:38,760 --> 00:44:41,120
Speaker 1: about their burn rates, something we're talking about Rond de

948
00:44:41,200 --> 00:44:42,919
Speaker 1: Santis with today. There was a lot of hand ringing

949
00:44:42,960 --> 00:44:46,200
Speaker 1: about that with the Obama campaign, but they ran these

950
00:44:46,239 --> 00:44:52,359
Speaker 1: incredibly brutally effective economic populist ads against Romney, defining him

951
00:44:52,360 --> 00:44:56,280
Speaker 1: as the caricature of the out of touch rich guy elite,

952
00:44:56,640 --> 00:45:01,760
Speaker 1: and that caricature stuck Mitt Romney. He did his own damage,

953
00:45:01,760 --> 00:45:05,840
Speaker 1: reinforcing that caricature at basically every turn. And now with

954
00:45:05,880 --> 00:45:08,840
Speaker 1: the Biden campaign it's the polar opposite. And in some

955
00:45:08,880 --> 00:45:11,879
Speaker 1: ways it makes sense because listen, are we know who

956
00:45:11,880 --> 00:45:12,680
Speaker 1: Donald Trump is?

957
00:45:12,840 --> 00:45:13,000
Speaker 2: Right?

958
00:45:13,360 --> 00:45:16,680
Speaker 1: Mitt Romney was kind of squishly defined to the American public,

959
00:45:16,760 --> 00:45:18,600
Speaker 1: So they thought that it was a real opportunity to

960
00:45:18,600 --> 00:45:20,359
Speaker 1: go in, like we're going to define who this guy

961
00:45:20,480 --> 00:45:21,880
Speaker 1: is on our terms, or we're going to fight this

962
00:45:21,920 --> 00:45:24,640
Speaker 1: campaign on our terms. Worked really well here with the

963
00:45:24,640 --> 00:45:28,240
Speaker 1: Biden campaign. Their bet is everybody already knows Donald Trump,

964
00:45:28,360 --> 00:45:30,480
Speaker 1: like people feel however they feel about him. There's a

965
00:45:30,480 --> 00:45:32,319
Speaker 1: lot of people who really hate this guy, and so

966
00:45:32,440 --> 00:45:35,399
Speaker 1: we don't need to spend money early to define who

967
00:45:35,400 --> 00:45:37,319
Speaker 1: he is and what he's all about and try to

968
00:45:37,320 --> 00:45:39,839
Speaker 1: set the campaign on our terms, because he does enough

969
00:45:39,840 --> 00:45:42,640
Speaker 1: and his indictments will speak for themselves as well. So

970
00:45:43,239 --> 00:45:45,640
Speaker 1: then you also have the fact that, unlike Barack Obama,

971
00:45:45,719 --> 00:45:48,920
Speaker 1: Joe Biden is not, especially now a very talented politician,

972
00:45:48,960 --> 00:45:50,960
Speaker 1: and so they think it makes sense to basically not

973
00:45:51,080 --> 00:45:54,960
Speaker 1: campaign right now. There are concerns, though about this strategy.

974
00:45:55,040 --> 00:45:58,319
Speaker 1: I found this report from CNN quite extraordinary. Let's put

975
00:45:58,360 --> 00:46:01,200
Speaker 1: this up on the screen. Even at this late date,

976
00:46:01,560 --> 00:46:04,200
Speaker 1: the headline is slow pace of Biden's reelect campaign feeds

977
00:46:04,239 --> 00:46:08,000
Speaker 1: Democrats twenty twenty four anxiety. Even at this late date,

978
00:46:08,040 --> 00:46:11,719
Speaker 1: you apparently still have top Democrats and donors who do

979
00:46:11,760 --> 00:46:14,120
Speaker 1: not actually believe that Biden is going to really run

980
00:46:14,160 --> 00:46:16,799
Speaker 1: for reelection, even though he's launched his campaign and he's

981
00:46:16,880 --> 00:46:19,520
Speaker 1: raising money and he's at least done some minimal campaigning

982
00:46:19,560 --> 00:46:23,239
Speaker 1: and securing certainly of union endorsements. They lead off this

983
00:46:23,280 --> 00:46:26,719
Speaker 1: piece saying, the conversations keep happening, quiet whispers on the

984
00:46:26,719 --> 00:46:29,719
Speaker 1: sidelines of events, text emails for the phone calls, as

985
00:46:29,760 --> 00:46:31,960
Speaker 1: top Democrats and donors reach out to those seen as

986
00:46:32,120 --> 00:46:37,720
Speaker 1: possible replacement presidential candidates get ready. They urge in conversations

987
00:46:37,719 --> 00:46:39,440
Speaker 1: that aids to several of the people involved who have

988
00:46:39,480 --> 00:46:43,080
Speaker 1: described as CNN, despite what he has said, despite the

989
00:46:43,080 --> 00:46:46,000
Speaker 1: campaign that has been announced, President Joe Biden will not

990
00:46:46,320 --> 00:46:50,120
Speaker 1: actually be running for reelection. They feel like time is

991
00:46:50,160 --> 00:46:51,960
Speaker 1: already running out and that the lack of the war

992
00:46:52,120 --> 00:46:55,080
Speaker 1: robust campaign activity they want to see is a sign

993
00:46:55,360 --> 00:46:59,279
Speaker 1: that his heart really isn't in it now. I have

994
00:46:59,520 --> 00:47:03,120
Speaker 1: always thought, even before he really made it clear that

995
00:47:03,160 --> 00:47:05,600
Speaker 1: he was running for reelection, I have always thought, at

996
00:47:05,600 --> 00:47:07,879
Speaker 1: the end of the day, Democrats would have to get

997
00:47:07,880 --> 00:47:10,080
Speaker 1: on board with Joe Biden because they have a Kamala

998
00:47:10,080 --> 00:47:12,600
Speaker 1: Harris problem, because he's in the White House, and because

999
00:47:12,600 --> 00:47:15,239
Speaker 1: he wants another four years too, by the way, So

1000
00:47:15,400 --> 00:47:18,279
Speaker 1: I continue to think that these people this is all

1001
00:47:18,360 --> 00:47:23,400
Speaker 1: wishful thinking, and like you know, presidential fanfic more than anything,

1002
00:47:23,719 --> 00:47:26,320
Speaker 1: but it does show you that there is deep concern

1003
00:47:26,640 --> 00:47:30,680
Speaker 1: among you know, Democratic Party elites that Joe Biden's heart

1004
00:47:30,719 --> 00:47:32,960
Speaker 1: isn't really in it, that he's not campaigning, and that

1005
00:47:33,000 --> 00:47:35,680
Speaker 1: they may have a real problem com general election time,

1006
00:47:35,760 --> 00:47:37,200
Speaker 1: even if it is against Donald Trump.

1007
00:47:37,280 --> 00:47:38,879
Speaker 2: Yeah, I think, you know, the point that he made

1008
00:47:38,880 --> 00:47:40,680
Speaker 2: earlier is the best one. At the end of the day,

1009
00:47:40,680 --> 00:47:42,360
Speaker 2: it's not going to be about money for the sitting

1010
00:47:42,400 --> 00:47:44,920
Speaker 2: president and Trump. Everyone will have plenty of money. This

1011
00:47:44,960 --> 00:47:46,880
Speaker 2: is going to be a multi billion dollar election. In

1012
00:47:46,960 --> 00:47:49,319
Speaker 2: terms of all the outside groups. It really is just

1013
00:47:49,360 --> 00:47:51,719
Speaker 2: a metric of how many real people are really.

1014
00:47:51,560 --> 00:47:52,359
Speaker 3: Enthused about this.

1015
00:47:52,920 --> 00:47:56,080
Speaker 2: Not many, and that you know is always going to

1016
00:47:56,120 --> 00:47:59,400
Speaker 2: remain an issue. But for the donors there is and

1017
00:47:59,440 --> 00:48:02,799
Speaker 2: remains fan fake. As you said, the idea of the

1018
00:48:02,840 --> 00:48:05,600
Speaker 2: you know, the West wing type president Bartlett just coming

1019
00:48:05,640 --> 00:48:07,680
Speaker 2: in to swoop take over and roll.

1020
00:48:07,560 --> 00:48:09,240
Speaker 1: It over down Newsom or whatever.

1021
00:48:09,920 --> 00:48:12,200
Speaker 2: Newsome is the perfect Bartlett type candidate, you know, the

1022
00:48:12,360 --> 00:48:15,799
Speaker 2: uber mensh liberal who's able to like sweep in and

1023
00:48:15,840 --> 00:48:19,080
Speaker 2: finally deliver all of the promises that they've been unable

1024
00:48:19,120 --> 00:48:21,480
Speaker 2: to get since the Bill Clinton era. Never ends up

1025
00:48:21,520 --> 00:48:24,520
Speaker 2: happening though in terms of the actual president, but doesn't

1026
00:48:24,560 --> 00:48:25,520
Speaker 2: stop them from dreaming.

1027
00:48:25,600 --> 00:48:29,040
Speaker 1: True. Liz Smith pee Boot to Jigito's former campaign manager.

1028
00:48:29,080 --> 00:48:31,040
Speaker 1: She's quoted in this piece. I think she puts her

1029
00:48:31,040 --> 00:48:33,480
Speaker 1: finger on the pulse of what the Democratic are elite

1030
00:48:33,480 --> 00:48:36,600
Speaker 1: are thinking. She says, what motivates people is less love

1031
00:48:36,640 --> 00:48:39,600
Speaker 1: of their party but hatred of the other candidate. A

1032
00:48:39,600 --> 00:48:42,440
Speaker 1: lot of enthusiasm will come for voting against Republicans. That

1033
00:48:42,560 --> 00:48:45,719
Speaker 1: is what they're betting on. But you also have long

1034
00:48:45,800 --> 00:48:49,440
Speaker 1: term Democratic fundraiser who said, I'm not sure which is

1035
00:48:49,440 --> 00:48:51,840
Speaker 1: harder getting people to focus on the campaign or getting

1036
00:48:51,840 --> 00:48:54,799
Speaker 1: people excited about it. If Trump wins next November and

1037
00:48:54,840 --> 00:48:57,040
Speaker 1: everyone says, how did that happen, one of the questions

1038
00:48:57,080 --> 00:48:59,440
Speaker 1: will be what was the Biden campaign doing in the

1039
00:48:59,480 --> 00:49:02,200
Speaker 1: summer of twenty twenty three. So you're possible they think

1040
00:49:02,200 --> 00:49:04,359
Speaker 1: the strategy makes sense. They kind of sit back and

1041
00:49:04,440 --> 00:49:07,239
Speaker 1: let Trump hang himself and then indatments play out and

1042
00:49:07,360 --> 00:49:10,000
Speaker 1: conserve their cash and keep their guy out of the spotlight.

1043
00:49:10,239 --> 00:49:12,200
Speaker 1: To be honest with you, I think they're probably right

1044
00:49:12,480 --> 00:49:16,120
Speaker 1: about that strategy. But I you know, the best news

1045
00:49:16,120 --> 00:49:18,360
Speaker 1: that the Biden campaign has gotten so far is the

1046
00:49:18,360 --> 00:49:21,000
Speaker 1: fact that the economic numbers inflation cooling like that, that

1047
00:49:21,080 --> 00:49:23,640
Speaker 1: looks a little bit better, even as people are still

1048
00:49:23,680 --> 00:49:26,640
Speaker 1: really not feeling that in terms of their everyday lives.

1049
00:49:26,680 --> 00:49:28,680
Speaker 1: But I got to tell you, I think they got

1050
00:49:28,680 --> 00:49:30,840
Speaker 1: big problems coming up. I think they've got big problems

1051
00:49:30,840 --> 00:49:32,840
Speaker 1: for twenty twenty four. I think that the fact that

1052
00:49:32,880 --> 00:49:35,759
Speaker 1: you've got a few potential third party candidates. I mean,

1053
00:49:35,760 --> 00:49:38,200
Speaker 1: we already know we've got Cornell West in there. That

1054
00:49:38,239 --> 00:49:40,319
Speaker 1: you may have this new Labels candidate. You know, it

1055
00:49:40,360 --> 00:49:44,480
Speaker 1: only takes just a little bit off of Joe Biden

1056
00:49:44,719 --> 00:49:47,440
Speaker 1: or even you know, the independents who didn't like him

1057
00:49:47,480 --> 00:49:49,239
Speaker 1: and didn't like Trump and voted for him, like just

1058
00:49:49,280 --> 00:49:51,040
Speaker 1: a few of them to go in the other direction,

1059
00:49:51,560 --> 00:49:53,560
Speaker 1: for him to be on the other side of an

1060
00:49:53,560 --> 00:49:56,040
Speaker 1: election loss. And I just I think they got a

1061
00:49:56,080 --> 00:49:56,520
Speaker 1: lot of problems.

1062
00:49:56,560 --> 00:49:58,000
Speaker 2: Yeah, I mean, this is where age comes back to

1063
00:49:58,000 --> 00:50:00,239
Speaker 2: bite you, Like, yeah, fight like your life depends on it.

1064
00:50:00,320 --> 00:50:02,360
Speaker 3: Act like man, this is the most important job in

1065
00:50:02,400 --> 00:50:03,120
Speaker 3: the entire world.

1066
00:50:03,120 --> 00:50:05,359
Speaker 2: You've got to go, you know, literally go like die

1067
00:50:05,400 --> 00:50:07,800
Speaker 2: Trump either fight or die trying, you know, in terms

1068
00:50:08,160 --> 00:50:11,160
Speaker 2: of winning. That's how the best politicians have always acted.

1069
00:50:11,200 --> 00:50:14,280
Speaker 2: I've read, you know previously, But Glynnon Johnson and Richard Nixon,

1070
00:50:14,280 --> 00:50:17,360
Speaker 2: two people who won the greatest electoral victories in modern

1071
00:50:17,400 --> 00:50:19,919
Speaker 2: American history. They thought they were going to lose up

1072
00:50:20,040 --> 00:50:23,680
Speaker 2: until the end. They still literally obsessed over the details

1073
00:50:24,000 --> 00:50:25,319
Speaker 2: up until election day.

1074
00:50:25,520 --> 00:50:27,760
Speaker 3: That's what it takes for people who are actual winners.

1075
00:50:27,920 --> 00:50:30,160
Speaker 1: Yeah, now, I think that's right. So we'll see how

1076
00:50:30,160 --> 00:50:35,040
Speaker 1: it all plays out. We wanted to give you an

1077
00:50:35,160 --> 00:50:39,360
Speaker 1: update and some pretty spicy footage coming out of folks

1078
00:50:39,400 --> 00:50:42,279
Speaker 1: involved in the total Hollywood strike. Now you've got the

1079
00:50:42,320 --> 00:50:45,640
Speaker 1: writers and the actors joining together our first time in

1080
00:50:45,680 --> 00:50:49,320
Speaker 1: more than sixty years, to completely shut down all Hollywood productions.

1081
00:50:49,400 --> 00:50:52,600
Speaker 1: Pretty extraordinary event. I'm actually covering of my monologue how

1082
00:50:52,640 --> 00:50:54,400
Speaker 1: there's a lot of tie ins here with AI and

1083
00:50:54,440 --> 00:50:56,720
Speaker 1: the future of technology that are really relevant for everyone.

1084
00:50:57,080 --> 00:51:01,160
Speaker 1: But there was a studio executive was quoted as saying

1085
00:51:01,200 --> 00:51:03,799
Speaker 1: their endgame with the writer strike in particular, is to

1086
00:51:03,880 --> 00:51:07,680
Speaker 1: allow things to drag on until union members start losing

1087
00:51:07,719 --> 00:51:12,520
Speaker 1: their apartments and start losing their houses, which is a

1088
00:51:12,760 --> 00:51:17,400
Speaker 1: disgusting thing to say about anyone that you're literally admitting

1089
00:51:17,400 --> 00:51:20,160
Speaker 1: you want to make people homeless to force them into

1090
00:51:20,239 --> 00:51:23,680
Speaker 1: a bad deal. Actor Ron Pearlman had some thoughts on

1091
00:51:23,719 --> 00:51:26,400
Speaker 1: this before I throw to it, warning if their children

1092
00:51:26,440 --> 00:51:29,120
Speaker 1: were there, some spicy language here, so just a little

1093
00:51:29,160 --> 00:51:31,680
Speaker 1: you know, trigger warning, etc. Let's hear what he had

1094
00:51:31,719 --> 00:51:32,040
Speaker 1: to say.

1095
00:51:32,440 --> 00:51:36,279
Speaker 9: The motherfucker who said we're going to keep this thing

1096
00:51:36,360 --> 00:51:39,560
Speaker 9: going until people start losing their houses and their apartments,

1097
00:51:41,719 --> 00:51:42,960
Speaker 9: listen to me, motherfucker.

1098
00:51:44,239 --> 00:51:46,040
Speaker 4: There's a lot of ways to lose your house.

1099
00:51:46,239 --> 00:51:50,080
Speaker 9: Some of it is financial, some of it is karma,

1100
00:51:50,200 --> 00:51:52,759
Speaker 9: and some of it is just figuring out who the

1101
00:51:52,840 --> 00:51:56,239
Speaker 9: fucks said that, and we know who said that and

1102
00:51:56,280 --> 00:51:57,360
Speaker 9: where he fucking lives.

1103
00:52:00,160 --> 00:52:01,920
Speaker 4: There's a lot of ways to lose your house.

1104
00:52:02,640 --> 00:52:06,360
Speaker 9: You wish that on people, You wish that families starve

1105
00:52:07,440 --> 00:52:10,399
Speaker 9: while you're making twenty seven fucking million dollars a year

1106
00:52:10,440 --> 00:52:16,680
Speaker 9: for creating nothing. Be careful, motherfucker, Be really careful, because

1107
00:52:16,719 --> 00:52:19,359
Speaker 9: that's kind of shit that stirs shit up.

1108
00:52:19,680 --> 00:52:24,239
Speaker 1: WHOA Yeah, going all in there now asaga. He did

1109
00:52:24,360 --> 00:52:27,799
Speaker 1: walk it back a bit and clarify his comment, and

1110
00:52:27,840 --> 00:52:31,200
Speaker 1: actually the clarification is also phenomenal. He says, I don't

1111
00:52:31,200 --> 00:52:33,719
Speaker 1: wish anybody any harm. I hope that a hole who

1112
00:52:33,719 --> 00:52:36,000
Speaker 1: made that comment also doesn't wish anybody any harm. But

1113
00:52:36,040 --> 00:52:37,879
Speaker 1: when you start going around and saying, we're not even

1114
00:52:37,920 --> 00:52:41,680
Speaker 1: going to bargain with these e fing dickheads until they

1115
00:52:41,680 --> 00:52:44,440
Speaker 1: start fing bleeding and their families start bleeding. I mean,

1116
00:52:44,520 --> 00:52:46,160
Speaker 1: if you want to talk about some of the shit

1117
00:52:46,200 --> 00:52:48,719
Speaker 1: that makes people so cynical and so pissed off with

1118
00:52:48,760 --> 00:52:51,200
Speaker 1: our current climate, I mean, this strike is just sort

1119
00:52:51,239 --> 00:52:53,600
Speaker 1: of a symptom of a struggle that's way bigger than

1120
00:52:53,600 --> 00:52:56,360
Speaker 1: the strike itself. It's a symptom of the soullessness of

1121
00:52:56,400 --> 00:53:00,360
Speaker 1: corporate America, how everything has become corporatized in this country. So, yeah,

1122
00:53:00,400 --> 00:53:02,840
Speaker 1: I'm being very clear. I never mentioned one name. I

1123
00:53:02,880 --> 00:53:05,680
Speaker 1: don't want anybody to get hurt, but stop with the bullshit,

1124
00:53:05,840 --> 00:53:09,000
Speaker 1: because all you're doing is you're effing killing what's beautiful

1125
00:53:09,040 --> 00:53:11,960
Speaker 1: in this country by putting a price on everything. Amen.

1126
00:53:12,320 --> 00:53:16,719
Speaker 2: Oh, interesting Foster there about mister Peerlman, And I think

1127
00:53:16,760 --> 00:53:19,600
Speaker 2: it was backed up really in their view by Disney

1128
00:53:19,680 --> 00:53:23,600
Speaker 2: CEO Bob Eiger, who gave one of the most extraordinary

1129
00:53:23,640 --> 00:53:27,600
Speaker 2: interviews in modern media history. You may think I'm exaggerating,

1130
00:53:27,640 --> 00:53:31,479
Speaker 2: but this interview set off a firestorm, both in terms

1131
00:53:31,520 --> 00:53:34,400
Speaker 2: of his response to the screen actors strike, but also

1132
00:53:34,480 --> 00:53:36,920
Speaker 2: in terms of some candidate missions that he made on

1133
00:53:36,960 --> 00:53:38,200
Speaker 2: the State of Television.

1134
00:53:38,320 --> 00:53:39,359
Speaker 3: Here's what he had to say.

1135
00:53:39,560 --> 00:53:41,600
Speaker 8: Well, I think it's very disturbing to me. You know,

1136
00:53:41,640 --> 00:53:45,080
Speaker 8: we've talked about disruptive forces on this business and all

1137
00:53:45,120 --> 00:53:47,920
Speaker 8: the challenges that we're facing in the recovery from COVID,

1138
00:53:47,960 --> 00:53:51,160
Speaker 8: which is ongoing, it's not completely back. This is the

1139
00:53:51,200 --> 00:53:53,840
Speaker 8: worst time in the world to add to that disruption.

1140
00:53:54,239 --> 00:53:57,040
Speaker 8: There's a level of expectation that they have that is

1141
00:53:57,239 --> 00:54:00,839
Speaker 8: just not realistic, and they are adding to a set

1142
00:54:00,880 --> 00:54:04,120
Speaker 8: of challenges that this business is already facing that is

1143
00:54:04,239 --> 00:54:08,560
Speaker 8: quite frankly, very disruptive. I know they're not why not.

1144
00:54:09,040 --> 00:54:09,399
Speaker 2: I can't.

1145
00:54:09,400 --> 00:54:10,959
Speaker 8: I can't. I can't answer that question.

1146
00:54:11,160 --> 00:54:11,440
Speaker 7: Again.

1147
00:54:11,520 --> 00:54:14,440
Speaker 8: I respect their right and their desire to get as

1148
00:54:14,520 --> 00:54:17,680
Speaker 8: much as they possibly can in compensation for their people.

1149
00:54:18,440 --> 00:54:20,759
Speaker 8: You know, I completely respect that. I've been around long

1150
00:54:20,840 --> 00:54:24,120
Speaker 8: enough to understand that dynamic and to appreciate it. But

1151
00:54:24,160 --> 00:54:27,320
Speaker 8: you also have to be realistic about the business environment

1152
00:54:27,400 --> 00:54:28,720
Speaker 8: and what this business can deliver.

1153
00:54:29,120 --> 00:54:32,080
Speaker 4: If you're do in the interim, then it's sht a

1154
00:54:32,080 --> 00:54:32,720
Speaker 4: lot of scripts.

1155
00:54:32,760 --> 00:54:35,480
Speaker 8: It will have, it will have a very very damaging

1156
00:54:35,480 --> 00:54:39,480
Speaker 8: effect on the whole business and Unfortunately, there's huge collateral

1157
00:54:39,560 --> 00:54:42,239
Speaker 8: damage in the industry to people who are you know,

1158
00:54:42,320 --> 00:54:45,279
Speaker 8: who are support services. I could go on and on.

1159
00:54:45,719 --> 00:54:50,080
Speaker 8: It will affect the economy of you know, different regions,

1160
00:54:50,160 --> 00:54:52,720
Speaker 8: even because there's the size of the business.

1161
00:54:52,880 --> 00:54:55,680
Speaker 2: It's a shame, certainly an image there to be sitting

1162
00:54:55,719 --> 00:54:58,440
Speaker 2: in the you know, the mountains of Sun Valley, Idaho

1163
00:54:58,560 --> 00:55:01,520
Speaker 2: outside six Am and the more as a mere billionaire

1164
00:55:01,600 --> 00:55:04,439
Speaker 2: CEO of the Disney Company that tells people that it's

1165
00:55:04,440 --> 00:55:06,279
Speaker 2: not a good idea and there's of course going to

1166
00:55:06,320 --> 00:55:09,240
Speaker 2: be damaging strikes. I think we'll probably talk a little

1167
00:55:09,239 --> 00:55:11,080
Speaker 2: bit more in the future about what he said about

1168
00:55:11,120 --> 00:55:13,759
Speaker 2: the challenging business environment. But we did also want to

1169
00:55:13,760 --> 00:55:15,960
Speaker 2: give you the response from the Screen Actors Guilt to

1170
00:55:16,000 --> 00:55:17,000
Speaker 2: Bob Iger's comments.

1171
00:55:17,080 --> 00:55:18,440
Speaker 3: Here's what they had to say.

1172
00:55:18,440 --> 00:55:21,040
Speaker 1: What did you think about Bob Iger's comments yesterday?

1173
00:55:21,719 --> 00:55:25,759
Speaker 10: I found them terribly repugnant and out of touch, positively

1174
00:55:25,840 --> 00:55:28,560
Speaker 10: tone deaf, and you know, I don't think.

1175
00:55:28,440 --> 00:55:31,040
Speaker 3: It served him well. If I were.

1176
00:55:30,960 --> 00:55:33,440
Speaker 11: That company, I would lock him behind tours.

1177
00:55:33,880 --> 00:55:37,640
Speaker 2: That was Franz Drescher, the president of the Screen Actors Guild. Also,

1178
00:55:37,719 --> 00:55:41,200
Speaker 2: though I will say it's just extraordinary actually to see

1179
00:55:41,200 --> 00:55:44,560
Speaker 2: a major Hollywood actress call out Bob Iger directly, that

1180
00:55:44,680 --> 00:55:47,399
Speaker 2: is just not really how it's done. Look, I don't

1181
00:55:47,400 --> 00:55:49,440
Speaker 2: work in Hollywood. I know some people would do. This

1182
00:55:49,560 --> 00:55:51,640
Speaker 2: is what they have told me, which is that in general,

1183
00:55:51,680 --> 00:55:55,600
Speaker 2: you almost never call out studio execs, CEOs and all

1184
00:55:55,600 --> 00:55:58,000
Speaker 2: those people by name, because not only they can, can

1185
00:55:58,040 --> 00:56:00,359
Speaker 2: they control like all the movies that they make. There's

1186
00:56:00,400 --> 00:56:02,759
Speaker 2: only a couple of studios that actually exist, So it

1187
00:56:02,800 --> 00:56:04,959
Speaker 2: only takes one or two phone calls to effectively nuke

1188
00:56:05,160 --> 00:56:08,360
Speaker 2: your entire career. And it does seem so the seriousness

1189
00:56:08,360 --> 00:56:10,960
Speaker 2: which which she is undertaking really the task and of

1190
00:56:11,000 --> 00:56:15,200
Speaker 2: the strike. We had the Oppenheimer actors actually leave the

1191
00:56:15,200 --> 00:56:18,160
Speaker 2: red carpet in the UK right as the strike was

1192
00:56:18,200 --> 00:56:20,440
Speaker 2: authorized because technically they would have broke it.

1193
00:56:20,480 --> 00:56:21,640
Speaker 3: So there's a lot going on.

1194
00:56:21,640 --> 00:56:24,520
Speaker 2: We got Mission Impossible in theaters right now, Indiana Jones,

1195
00:56:24,520 --> 00:56:26,560
Speaker 2: a lot of promotional events and all of those are

1196
00:56:26,600 --> 00:56:28,080
Speaker 2: supposed to be happening and going to be canceled. So

1197
00:56:28,280 --> 00:56:32,479
Speaker 2: Eiger is not wrong that this will have major ramifications. Yeah, sure, yes,

1198
00:56:32,800 --> 00:56:35,640
Speaker 2: I'm not saying he's correct about what they should capitulate to,

1199
00:56:35,800 --> 00:56:38,600
Speaker 2: just that the big the event the effect is already.

1200
00:56:38,360 --> 00:56:40,719
Speaker 1: It's monumental, no doubt about it. And I mean the

1201
00:56:40,719 --> 00:56:44,040
Speaker 1: part that everyone was rightfully pointing to is he's like,

1202
00:56:44,080 --> 00:56:46,839
Speaker 1: it's not realistic their demands, and the interviewers like, okay,

1203
00:56:46,880 --> 00:56:48,640
Speaker 1: what do you mean. He's like, well, I can't say,

1204
00:56:48,960 --> 00:56:52,719
Speaker 1: like okay, then you know how real unrealistic are their

1205
00:56:52,760 --> 00:56:55,480
Speaker 1: demands really? And listen, I get it with Hollywood, they're

1206
00:56:55,520 --> 00:56:57,960
Speaker 1: not in some ways the most sympathetic group of people,

1207
00:56:58,360 --> 00:57:02,200
Speaker 1: but remember that the overwhelming majority of members of this

1208
00:57:02,360 --> 00:57:05,880
Speaker 1: union are not the like Hollywood stars and starlits that

1209
00:57:06,080 --> 00:57:09,680
Speaker 1: are household names throughout the country. A lot of them

1210
00:57:09,880 --> 00:57:13,040
Speaker 1: are journeymen and women, actors who are just like try

1211
00:57:13,120 --> 00:57:15,400
Speaker 1: to make rent and try to make it month to month,

1212
00:57:15,600 --> 00:57:18,880
Speaker 1: who depend on things like you know, being extras and films,

1213
00:57:18,920 --> 00:57:22,200
Speaker 1: who depend on residuals from that you know, commercial they did,

1214
00:57:22,280 --> 00:57:24,920
Speaker 1: being able to sustain them while they're going to auditions.

1215
00:57:25,320 --> 00:57:28,520
Speaker 1: So for many people who are working in this industry,

1216
00:57:28,560 --> 00:57:30,880
Speaker 1: and certainly for the writers who are on strike as well,

1217
00:57:31,160 --> 00:57:34,160
Speaker 1: it's not the glamorous life that you may have in

1218
00:57:34,240 --> 00:57:37,959
Speaker 1: mind when you think Hollywood and ultimately these issues of

1219
00:57:38,280 --> 00:57:41,800
Speaker 1: labor fighting back against capital. I mean, this translates to

1220
00:57:41,920 --> 00:57:45,040
Speaker 1: all sorts of industry across the country, and the fact

1221
00:57:45,040 --> 00:57:47,440
Speaker 1: that they have a union, that they have the ability

1222
00:57:47,480 --> 00:57:51,320
Speaker 1: to strike, that they have some level of cultural prominence too,

1223
00:57:51,480 --> 00:57:54,040
Speaker 1: really elevate some of these key issues. But I mean,

1224
00:57:54,080 --> 00:57:56,520
Speaker 1: corporate greed is a universal across the country, So there

1225
00:57:56,600 --> 00:58:00,680
Speaker 1: is a lot here that does actually translate to other industries,

1226
00:58:00,760 --> 00:58:02,800
Speaker 1: other workforces, and is relevant for all of us.

1227
00:58:03,080 --> 00:58:03,280
Speaker 2: I know.

1228
00:58:03,320 --> 00:58:04,160
Speaker 3: I think that's important.

1229
00:58:04,160 --> 00:58:06,360
Speaker 2: Which is, yes, the most visible people often are like

1230
00:58:06,440 --> 00:58:08,760
Speaker 2: multimillionaires and all that. But one of the reasons why,

1231
00:58:08,840 --> 00:58:10,880
Speaker 2: at least as I understand that they're so willing to

1232
00:58:10,920 --> 00:58:14,000
Speaker 2: fight hard on these issues is because once upon a time,

1233
00:58:14,040 --> 00:58:16,280
Speaker 2: many of them were also struggling actors and they relied

1234
00:58:16,280 --> 00:58:20,600
Speaker 2: on SAG for health insurance, for guaranteed compensation for residuals

1235
00:58:20,600 --> 00:58:22,000
Speaker 2: and all these other things that you know that they

1236
00:58:22,000 --> 00:58:24,920
Speaker 2: don't necessarily have to rely on anymore, but you know,

1237
00:58:25,040 --> 00:58:26,960
Speaker 2: when they did and they were starting out, it was

1238
00:58:27,000 --> 00:58:28,920
Speaker 2: a very important thing for their career yea. And it

1239
00:58:28,960 --> 00:58:31,440
Speaker 2: helps people who are coming up through the pipeline. So

1240
00:58:31,640 --> 00:58:33,200
Speaker 2: that's that's why I think it's important too.

1241
00:58:33,280 --> 00:58:37,240
Speaker 1: Typically, Hollywood politics are very like lib identity based sort

1242
00:58:37,240 --> 00:58:39,680
Speaker 1: of like surface level, and so it's also kind of

1243
00:58:39,680 --> 00:58:43,320
Speaker 1: cool to see these sort of economic populist themes about

1244
00:58:43,360 --> 00:58:45,680
Speaker 1: corporate greed coming to the four from people who do

1245
00:58:45,760 --> 00:58:47,680
Speaker 1: have a lot of cultural cachet. So I do think

1246
00:58:47,720 --> 00:58:51,200
Speaker 1: that part is important as well. All right, let's get

1247
00:58:51,240 --> 00:58:54,160
Speaker 1: to the very latest that is happening over on Twitter

1248
00:58:54,200 --> 00:58:57,280
Speaker 1: with Elon Musk. This is an interesting turn of events.

1249
00:58:57,320 --> 00:58:59,240
Speaker 1: I'm actually curious what Sager hasn't say about this one.

1250
00:58:59,240 --> 00:59:03,200
Speaker 1: Okay news up on the screen. So Alan has been

1251
00:59:03,240 --> 00:59:06,600
Speaker 1: sort of teasing that he may launch some sort of

1252
00:59:06,640 --> 00:59:09,040
Speaker 1: a program so people can actually make money on Twitter

1253
00:59:09,080 --> 00:59:11,400
Speaker 1: at peers. They have now rolled out what is at

1254
00:59:11,480 --> 00:59:13,760
Speaker 1: least a sort of pilot program in this regard. The

1255
00:59:13,760 --> 00:59:16,880
Speaker 1: headline here is Twitter has started paying some creators like

1256
00:59:16,960 --> 00:59:21,800
Speaker 1: Andrew Tate and the Crasenstein brothers for generating ad revenue.

1257
00:59:21,880 --> 00:59:25,760
Speaker 1: It appears that outside of the Crasenstein brothers, who are like,

1258
00:59:25,880 --> 00:59:29,840
Speaker 1: you know, very resistant democrat whatever, a lot of the

1259
00:59:29,880 --> 00:59:32,000
Speaker 1: creators who are being paid are on the right. So

1260
00:59:32,040 --> 00:59:35,080
Speaker 1: you've got in addition to Andrew Tate, you've got Benny Johnson,

1261
00:59:35,400 --> 00:59:38,640
Speaker 1: You've got the Babylon b End Wokeness I think Tim

1262
00:59:38,680 --> 00:59:43,160
Speaker 1: Poole was getting payments as well. So far it appears

1263
00:59:43,200 --> 00:59:46,000
Speaker 1: to be very ad hoc. Like these people, I don't

1264
00:59:46,040 --> 00:59:49,200
Speaker 1: know how they were selected exactly, but the idea is

1265
00:59:49,320 --> 00:59:51,680
Speaker 1: there's going to be some sort of a program that

1266
00:59:51,760 --> 00:59:54,640
Speaker 1: you can roll in and apply to so that you

1267
00:59:54,840 --> 00:59:59,160
Speaker 1: also receive payments based on who is replying to your

1268
00:59:59,160 --> 01:00:02,440
Speaker 1: tweets and of how much energy you're generating around your tweets.

1269
01:00:02,920 --> 01:00:05,080
Speaker 1: Elon had a little bit to say about this. Let's

1270
01:00:05,120 --> 01:00:07,040
Speaker 1: go ahead and put this up on the screen, because

1271
01:00:07,080 --> 01:00:11,840
Speaker 1: again it all ties into his blue Twitter check mark play,

1272
01:00:11,880 --> 01:00:14,080
Speaker 1: which is you know, now they're not really verified, it's

1273
01:00:14,120 --> 01:00:16,120
Speaker 1: you pay for the check mark. He says that the

1274
01:00:16,160 --> 01:00:18,760
Speaker 1: pants are not exactly per impression. What matters is how

1275
01:00:18,760 --> 01:00:22,360
Speaker 1: many ads were shown to other verified users, so other

1276
01:00:22,480 --> 01:00:25,479
Speaker 1: people who pay for the check mark. That's what really

1277
01:00:25,480 --> 01:00:28,360
Speaker 1: counts here. Only verified users count, as it is otherwise

1278
01:00:28,440 --> 01:00:31,000
Speaker 1: trivial to game the system with bots. Sager.

1279
01:00:31,720 --> 01:00:34,200
Speaker 3: Look, I just have to be honest.

1280
01:00:34,400 --> 01:00:38,000
Speaker 2: This is so obviously ad hoc and just not keeping

1281
01:00:38,120 --> 01:00:41,160
Speaker 2: in any sort of real market competition whatsoever, because the

1282
01:00:41,200 --> 01:00:44,120
Speaker 2: thing is crystal. As you and I know, we don't

1283
01:00:44,120 --> 01:00:47,320
Speaker 2: make our living luckily because of our direct subscription program,

1284
01:00:47,360 --> 01:00:49,560
Speaker 2: but we do make money off of CPM ads that

1285
01:00:49,600 --> 01:00:52,160
Speaker 2: are served on the Internet, and there is just literally

1286
01:00:52,200 --> 01:00:54,440
Speaker 2: no way that the amount of dollars that we are

1287
01:00:54,480 --> 01:00:58,560
Speaker 2: talking about here even remotely lines up with the actual

1288
01:00:58,640 --> 01:01:02,840
Speaker 2: market rate for CPA impressions, especially I know.

1289
01:01:02,840 --> 01:01:04,600
Speaker 3: I'm sorry that I'm using the ad type.

1290
01:01:05,200 --> 01:01:07,720
Speaker 2: We're talking here about the amount of dollars that you

1291
01:01:07,720 --> 01:01:11,240
Speaker 2: can charge per one thousand views of this alleged ad.

1292
01:01:11,440 --> 01:01:13,240
Speaker 3: We are also talking here about.

1293
01:01:13,040 --> 01:01:15,360
Speaker 2: I know what we make on YouTube, and it's not

1294
01:01:15,440 --> 01:01:17,640
Speaker 2: even closed apparently to the rate that they're showing here.

1295
01:01:18,000 --> 01:01:20,600
Speaker 2: The problem that we have is that we're talking here

1296
01:01:20,640 --> 01:01:23,880
Speaker 2: about one of the lowest forms and of ads in

1297
01:01:23,960 --> 01:01:26,880
Speaker 2: terms of an ad served on Twitter that you can

1298
01:01:26,920 --> 01:01:30,760
Speaker 2: easily scroll past, not in an environment like Spotify when

1299
01:01:30,800 --> 01:01:34,600
Speaker 2: people are listening and our ads are served dynamically there,

1300
01:01:34,840 --> 01:01:36,919
Speaker 2: or when you're watching our YouTube video. If you don't

1301
01:01:36,920 --> 01:01:38,880
Speaker 2: have YouTube premium, you don't have a choice. You were

1302
01:01:38,920 --> 01:01:40,840
Speaker 2: asked to sitting down. You got to watch at least

1303
01:01:40,920 --> 01:01:43,600
Speaker 2: what five to fifteen seconds or whatever out of that ad.

1304
01:01:43,640 --> 01:01:45,920
Speaker 2: That's a very, very actually valuable ad, and I know

1305
01:01:45,960 --> 01:01:47,520
Speaker 2: what those pay, and it's not even close to the

1306
01:01:47,600 --> 01:01:50,280
Speaker 2: rate of what this is. So in terms of the

1307
01:01:50,680 --> 01:01:53,000
Speaker 2: rate that he's talking about, it does seem that, you know,

1308
01:01:53,040 --> 01:01:55,640
Speaker 2: they're trying to put their finger on the put their

1309
01:01:55,640 --> 01:01:57,400
Speaker 2: finger on the scale here. At the same time, it's

1310
01:01:57,400 --> 01:01:59,640
Speaker 2: not actually that much money Elon had previously tweted They're

1311
01:01:59,640 --> 01:02:02,480
Speaker 2: only spend about five million dollars over a certain period

1312
01:02:03,000 --> 01:02:06,120
Speaker 2: undefined time period, which they'll be paying out. I don't

1313
01:02:06,120 --> 01:02:08,200
Speaker 2: think it's a surprise that they are paying it out,

1314
01:02:08,200 --> 01:02:12,680
Speaker 2: probably to their most voluble users of Twitter Blue, because

1315
01:02:12,760 --> 01:02:14,880
Speaker 2: it comes at the time that Threads just launched and

1316
01:02:14,920 --> 01:02:17,000
Speaker 2: they want to make sure that people are using it.

1317
01:02:17,320 --> 01:02:20,240
Speaker 2: I don't know if I'm special, but I actually started

1318
01:02:20,240 --> 01:02:24,160
Speaker 2: getting ads on my feed from Twitter saying your account

1319
01:02:24,480 --> 01:02:29,200
Speaker 2: was eligible for payouts. But because I was wondering, maybe

1320
01:02:29,200 --> 01:02:31,160
Speaker 2: it's me. I don't actually tweet that much, so I'd

1321
01:02:31,200 --> 01:02:33,560
Speaker 2: be surprised if I was able to generate the right

1322
01:02:33,600 --> 01:02:36,880
Speaker 2: amount of impressions. Actually we can find out live let's see.

1323
01:02:37,600 --> 01:02:41,440
Speaker 2: But the ad actually that was served to me, let's see. Yeah, So,

1324
01:02:41,560 --> 01:02:43,560
Speaker 2: in terms of my impressions, I guess I had one

1325
01:02:43,600 --> 01:02:46,680
Speaker 2: point eight million impressions in the month of July so far,

1326
01:02:46,720 --> 01:02:48,200
Speaker 2: I don't think that's actually enough.

1327
01:02:48,240 --> 01:02:49,040
Speaker 3: I guess I did hit it.

1328
01:02:49,080 --> 01:02:51,960
Speaker 2: In June, we had eleven point five million impressions on

1329
01:02:52,000 --> 01:02:54,760
Speaker 2: my account. They said that five million or so was

1330
01:02:54,800 --> 01:02:57,280
Speaker 2: the actual number that you were supposed to hit for

1331
01:02:57,440 --> 01:02:58,040
Speaker 2: your profile.

1332
01:02:58,120 --> 01:02:59,960
Speaker 3: So yeah, I guess I did technically qualify.

1333
01:03:00,080 --> 01:03:02,560
Speaker 2: But they are serving it to me for why I

1334
01:03:02,560 --> 01:03:04,600
Speaker 2: should pay eight dollars a month where you know, I

1335
01:03:04,640 --> 01:03:06,360
Speaker 2: may get you know, X amount or whatever.

1336
01:03:06,520 --> 01:03:08,120
Speaker 3: Dollars to be clear, would not go to me, We

1337
01:03:08,240 --> 01:03:08,880
Speaker 3: go to the business.

1338
01:03:08,880 --> 01:03:11,600
Speaker 2: But the point being in for all of this is

1339
01:03:11,640 --> 01:03:13,640
Speaker 2: that they're trying to use it, I think as a

1340
01:03:13,640 --> 01:03:17,120
Speaker 2: monetary tool to incite people who may qualify for the

1341
01:03:17,160 --> 01:03:20,280
Speaker 2: program to actually sign up, especially at a time when

1342
01:03:20,320 --> 01:03:22,600
Speaker 2: many people are choosing to decide whether they should post

1343
01:03:22,800 --> 01:03:25,720
Speaker 2: on Instagram threads or not. But the reason I would

1344
01:03:25,760 --> 01:03:28,360
Speaker 2: be skeptical is Crystal, you and I, as business owners,

1345
01:03:28,360 --> 01:03:32,240
Speaker 2: we don't care about one time payments. We care about consistency.

1346
01:03:32,840 --> 01:03:35,040
Speaker 2: We care about are we going to get paid every month?

1347
01:03:35,640 --> 01:03:37,919
Speaker 2: Not just because we need to get paid, but because

1348
01:03:37,960 --> 01:03:40,520
Speaker 2: we have multiple people who work for us right over

1349
01:03:40,560 --> 01:03:42,320
Speaker 2: on the other side of that wall. To make sure

1350
01:03:42,360 --> 01:03:44,840
Speaker 2: we can hit payroll and all the other expenses, So

1351
01:03:45,000 --> 01:03:45,960
Speaker 2: is this a one time thing?

1352
01:03:46,280 --> 01:03:47,440
Speaker 3: Is this going to be consistent?

1353
01:03:47,680 --> 01:03:50,440
Speaker 2: And this is why Elon not telling us the actual

1354
01:03:50,520 --> 01:03:53,600
Speaker 2: rates that are being paid here and inventing some scheme

1355
01:03:53,640 --> 01:03:57,600
Speaker 2: where it's like only adds serve to verified users. That's

1356
01:03:57,680 --> 01:04:01,000
Speaker 2: just it doesn't track to me as a you'll market

1357
01:04:01,160 --> 01:04:05,360
Speaker 2: competition based platform of which every other advertising based business

1358
01:04:05,400 --> 01:04:07,840
Speaker 2: is run, especially on the Internet for social media.

1359
01:04:08,000 --> 01:04:10,560
Speaker 1: Yeah, it feels a little desperate. Yeah, it feels like

1360
01:04:10,800 --> 01:04:14,160
Speaker 1: all right, Threads is actually taking a bite out of

1361
01:04:14,160 --> 01:04:17,640
Speaker 1: my you know, creators and my traffic and whatever, and

1362
01:04:17,680 --> 01:04:20,280
Speaker 1: I'm worried about the threat that is coming from there.

1363
01:04:20,720 --> 01:04:23,960
Speaker 1: So let me do something to try to entice creators

1364
01:04:24,080 --> 01:04:27,200
Speaker 1: who in many ways he's very antagonistic towards to try

1365
01:04:27,240 --> 01:04:29,760
Speaker 1: to entice them to stay on this platform and commit

1366
01:04:29,800 --> 01:04:33,560
Speaker 1: to this platform. But the fact that his decision making

1367
01:04:33,680 --> 01:04:37,440
Speaker 1: has been so scattershot, so all over the place, so

1368
01:04:37,680 --> 01:04:40,600
Speaker 1: ad hoc. He announces one thing, he changes, it, goes

1369
01:04:40,640 --> 01:04:44,320
Speaker 1: back on it, whatever. You know, it's already a big

1370
01:04:44,360 --> 01:04:47,320
Speaker 1: gamble when you rely on any of these platforms for

1371
01:04:47,400 --> 01:04:50,440
Speaker 1: your revenue, which is why we have got you know,

1372
01:04:50,720 --> 01:04:54,280
Speaker 1: very strategically tried to make sure that we have multiple

1373
01:04:54,320 --> 01:04:56,920
Speaker 1: streams of revenue and that ultimately we really depend on

1374
01:04:57,000 --> 01:04:59,320
Speaker 1: you guys and not any tech job. Elon must Mark

1375
01:04:59,400 --> 01:05:03,120
Speaker 1: Zuckerberger and one else for the bulk of our revenue.

1376
01:05:03,480 --> 01:05:07,000
Speaker 1: Because any of these platforms can change what they're doing

1377
01:05:07,120 --> 01:05:11,080
Speaker 1: at a moment's notice. On YouTube, you will recall, while

1378
01:05:11,240 --> 01:05:13,400
Speaker 1: back this was before we were in the game, they

1379
01:05:13,400 --> 01:05:16,640
Speaker 1: got nervous about political content and they just decided to

1380
01:05:16,680 --> 01:05:20,040
Speaker 1: pull all ads from political content just like that overnight.

1381
01:05:20,080 --> 01:05:22,680
Speaker 1: They could do that again at a moment's notice. So

1382
01:05:22,760 --> 01:05:26,320
Speaker 1: it is always a risk when you're deciding to depend

1383
01:05:26,360 --> 01:05:29,600
Speaker 1: on any one of those platforms. So when you add

1384
01:05:29,640 --> 01:05:34,560
Speaker 1: on top of that the layer of just erratic behavior

1385
01:05:34,600 --> 01:05:37,680
Speaker 1: and decision making and nothing seems thought out, there's no

1386
01:05:37,800 --> 01:05:42,080
Speaker 1: policy in place, there's no clear program, it just adds

1387
01:05:42,160 --> 01:05:45,920
Speaker 1: an additional level of nervousness that is not much to

1388
01:05:46,080 --> 01:05:48,360
Speaker 1: induce a creator to release. Okay, I'm going to make

1389
01:05:48,360 --> 01:05:50,480
Speaker 1: my living here, I'm going to depend on this platform.

1390
01:05:50,520 --> 01:05:52,160
Speaker 1: I'm going to invest my time and my efforts and

1391
01:05:52,200 --> 01:05:55,000
Speaker 1: my creativity into being a creator here because I think

1392
01:05:55,000 --> 01:05:57,200
Speaker 1: this program might pay out for me. Like I just

1393
01:05:57,240 --> 01:06:00,680
Speaker 1: I think it would be foolish for anyone to bet

1394
01:06:00,760 --> 01:06:03,200
Speaker 1: that this would be anything sustaining for them over time.

1395
01:06:03,320 --> 01:06:04,640
Speaker 2: No, you're right, I mean and give to give you

1396
01:06:04,640 --> 01:06:06,880
Speaker 2: an example of how capricious this is. I did a

1397
01:06:06,920 --> 01:06:09,360
Speaker 2: monologue about the sound of Freedom, I think last week.

1398
01:06:09,840 --> 01:06:11,520
Speaker 2: As of right now, it's got five hundred and twenty

1399
01:06:11,560 --> 01:06:12,360
Speaker 2: five thousand views.

1400
01:06:12,360 --> 01:06:14,200
Speaker 3: You and I have not earned one dollar off of

1401
01:06:14,240 --> 01:06:14,640
Speaker 3: that video.

1402
01:06:14,760 --> 01:06:16,959
Speaker 2: That video should have earned us like a decent sum

1403
01:06:17,000 --> 01:06:18,640
Speaker 2: by in terms of creator math.

1404
01:06:18,760 --> 01:06:20,320
Speaker 3: And you know, if you're a.

1405
01:06:20,240 --> 01:06:23,400
Speaker 2: Normal person, you don't have access to the direct subscription

1406
01:06:23,480 --> 01:06:25,760
Speaker 2: program that we've set up here in order to support

1407
01:06:25,760 --> 01:06:28,080
Speaker 2: our business. That it takes a lot of work to

1408
01:06:28,080 --> 01:06:29,640
Speaker 2: get that amount of views, you know, you never know.

1409
01:06:29,680 --> 01:06:31,760
Speaker 2: It's like a one off hit every once in a while,

1410
01:06:31,880 --> 01:06:34,360
Speaker 2: probably one of our most popular videos of this month,

1411
01:06:34,400 --> 01:06:36,680
Speaker 2: and we did not earn a single cent. So that

1412
01:06:36,800 --> 01:06:38,600
Speaker 2: is why you never want to rely on these people

1413
01:06:39,120 --> 01:06:41,240
Speaker 2: for the dollars on this program, and why we're so

1414
01:06:41,320 --> 01:06:41,680
Speaker 2: lucky to.

1415
01:06:41,680 --> 01:06:43,280
Speaker 3: Have you all of you over here.

1416
01:06:45,760 --> 01:06:46,920
Speaker 1: All right, tiger, what are you looking at it?

1417
01:06:46,960 --> 01:06:47,200
Speaker 11: Well?

1418
01:06:47,320 --> 01:06:50,560
Speaker 2: Supreme Court Justice Lewis brandeis famously referred to states as

1419
01:06:50,600 --> 01:06:54,520
Speaker 2: the laboratories of democracies in our federalist system. In my opinion,

1420
01:06:54,640 --> 01:06:58,080
Speaker 2: it's a great system. Usually, different states have different needs.

1421
01:06:58,120 --> 01:07:00,120
Speaker 2: Different states have things that they can try out that

1422
01:07:00,160 --> 01:07:02,520
Speaker 2: may succeed or fail. We can scale them for the

1423
01:07:02,640 --> 01:07:05,040
Speaker 2: entire nation if they do. The downside of that, though,

1424
01:07:05,080 --> 01:07:06,680
Speaker 2: is that in some cases you have to sit by

1425
01:07:06,720 --> 01:07:09,080
Speaker 2: and watch as some states, as cherished as they may be,

1426
01:07:09,440 --> 01:07:12,040
Speaker 2: chose to go down a very dark path. For all

1427
01:07:12,080 --> 01:07:14,560
Speaker 2: the attention that is paid to the school policies of Florida,

1428
01:07:14,640 --> 01:07:17,640
Speaker 2: it is always remarkable to me that the nation's most populous,

1429
01:07:17,760 --> 01:07:21,680
Speaker 2: most important economic state, California, gets a free pass from

1430
01:07:21,680 --> 01:07:25,880
Speaker 2: the media as it radically transforms its entire education system

1431
01:07:26,160 --> 01:07:29,360
Speaker 2: in the pursuit of a terrible goal equity. We have

1432
01:07:29,400 --> 01:07:32,760
Speaker 2: discussed this concept ad nauseum here, but to define terms

1433
01:07:32,760 --> 01:07:35,840
Speaker 2: properly once again is important. Equity is the desire to

1434
01:07:35,880 --> 01:07:39,960
Speaker 2: equalize all outcomes between races. Equality of opportunity seeks to

1435
01:07:39,960 --> 01:07:43,760
Speaker 2: give each person the same opportunity to succeed without determining

1436
01:07:43,800 --> 01:07:44,400
Speaker 2: their outcome.

1437
01:07:44,720 --> 01:07:46,240
Speaker 3: Equity has been the go to.

1438
01:07:46,160 --> 01:07:49,760
Speaker 2: Solution for California elites in trying to address racial disparities

1439
01:07:49,960 --> 01:07:53,640
Speaker 2: with disastrous outcomes. Already, the city of San Francisco over

1440
01:07:53,680 --> 01:07:56,640
Speaker 2: the last several years pursued a so called Algebra for

1441
01:07:56,760 --> 01:08:00,800
Speaker 2: None program, which limited opportunities for HIGACHIV students in the

1442
01:08:00,840 --> 01:08:03,880
Speaker 2: eighth grade to try and give everyone a better shot

1443
01:08:03,920 --> 01:08:07,360
Speaker 2: at learning math. Years into the program now, the results

1444
01:08:07,360 --> 01:08:11,560
Speaker 2: are unambiguous. The policy did nothing to address racial disparities,

1445
01:08:11,840 --> 01:08:15,560
Speaker 2: only sought to limit the opportunity available to high achieving students.

1446
01:08:15,800 --> 01:08:18,799
Speaker 2: Rich students simply just had parents pay for outside tutoring,

1447
01:08:18,960 --> 01:08:21,679
Speaker 2: which means tax paying citizens with kids who were ready

1448
01:08:21,680 --> 01:08:25,320
Speaker 2: for algebra in eighth grade were actively penalized by their government.

1449
01:08:25,560 --> 01:08:28,120
Speaker 2: Since obviously this worked so well in San Francisco and

1450
01:08:28,280 --> 01:08:31,200
Speaker 2: was so obviously a failure, the State of California has

1451
01:08:31,240 --> 01:08:33,840
Speaker 2: decided to roll out a very similar plan to the

1452
01:08:34,040 --> 01:08:37,360
Speaker 2: entire state for math curriculum. The new curriculum seeks to

1453
01:08:37,439 --> 01:08:41,640
Speaker 2: quote put meaning making at the center of math classrooms

1454
01:08:41,720 --> 01:08:45,479
Speaker 2: and encourages quote teachers to make math culturally relevant and

1455
01:08:45,520 --> 01:08:48,720
Speaker 2: accessible for all students, especially students of color who have

1456
01:08:48,760 --> 01:08:52,519
Speaker 2: been traditionally marginalized in the subject. Okay, so we're talking

1457
01:08:52,560 --> 01:08:54,639
Speaker 2: about making math culturally relevant.

1458
01:08:54,760 --> 01:08:56,120
Speaker 3: I think I know where this is going.

1459
01:08:56,320 --> 01:09:01,160
Speaker 2: The new framework for teaching math effectively discourages organizations or

1460
01:09:01,200 --> 01:09:06,519
Speaker 2: instruction on individual standards for math. Instead, the framework outlines

1461
01:09:06,600 --> 01:09:10,040
Speaker 2: quote big ideas in mathematics for each grade that are

1462
01:09:10,080 --> 01:09:14,320
Speaker 2: designed to drive instruction in theory. This actually sounds nice,

1463
01:09:14,360 --> 01:09:16,439
Speaker 2: but in practice, when I actually look deeper, it is

1464
01:09:16,520 --> 01:09:19,000
Speaker 2: clear not only to me, but the heads of major

1465
01:09:19,080 --> 01:09:22,520
Speaker 2: math departments at prestigious math departments all across the California

1466
01:09:22,640 --> 01:09:26,720
Speaker 2: university system that this moves away from objective metrics and

1467
01:09:26,880 --> 01:09:30,639
Speaker 2: actual learning. The new curriculum encourages teachers to make math

1468
01:09:30,920 --> 01:09:33,360
Speaker 2: more of a venue to talk about social justice and

1469
01:09:33,439 --> 01:09:35,960
Speaker 2: to get students to find a quote sense of belonging,

1470
01:09:36,040 --> 01:09:39,080
Speaker 2: and in some cases, to sell math to students as

1471
01:09:39,120 --> 01:09:42,920
Speaker 2: a way to quote examine inequities and address important issues

1472
01:09:42,960 --> 01:09:45,639
Speaker 2: in their lives and communities. Effectively, they're trying to sell

1473
01:09:45,680 --> 01:09:47,920
Speaker 2: math as a kid's to kids as a way to

1474
01:09:48,000 --> 01:09:51,400
Speaker 2: look at racial disparities, which is I guess true, but

1475
01:09:51,439 --> 01:09:54,120
Speaker 2: should also probably just be sold as a tool that

1476
01:09:54,240 --> 01:09:57,559
Speaker 2: is able to do pretty much anything that requires metrics

1477
01:09:57,560 --> 01:10:00,720
Speaker 2: and help you understand it. Furthermore, calif Fifornia is doing

1478
01:10:00,760 --> 01:10:02,800
Speaker 2: a bait and switch here. They are trying to sound

1479
01:10:02,840 --> 01:10:05,439
Speaker 2: reasonable but are very nefarious whenever you look into it.

1480
01:10:05,600 --> 01:10:09,360
Speaker 2: California schools are loosening admissions criteria, telling high schools that

1481
01:10:09,400 --> 01:10:12,880
Speaker 2: they would consider applicants who skipped algebra two, which originally

1482
01:10:12,960 --> 01:10:15,680
Speaker 2: was a cornerstone of math instruction and a baseline for

1483
01:10:15,720 --> 01:10:18,920
Speaker 2: people who wanted to continue in the university level. In place,

1484
01:10:19,200 --> 01:10:22,160
Speaker 2: schools in California are now saying that quote, data science

1485
01:10:22,400 --> 01:10:23,760
Speaker 2: is an acceptable replacement.

1486
01:10:24,000 --> 01:10:25,920
Speaker 3: But the reason why the.

1487
01:10:25,880 --> 01:10:29,520
Speaker 2: Schools in California are pursuing data science as a replacement

1488
01:10:29,560 --> 01:10:33,759
Speaker 2: is quote an equity issue, aka, it sends more students

1489
01:10:33,760 --> 01:10:37,280
Speaker 2: to college. How the reality is that the coursework itself

1490
01:10:37,479 --> 01:10:42,080
Speaker 2: appears to be less challenging and apparently creates less racial disparities.

1491
01:10:42,160 --> 01:10:43,920
Speaker 3: So it is the desirable solution.

1492
01:10:44,400 --> 01:10:46,680
Speaker 2: We arrived once again at a place where, in the

1493
01:10:46,760 --> 01:10:49,639
Speaker 2: name of equity and equal racial outcomes, we are dumbing

1494
01:10:49,680 --> 01:10:53,800
Speaker 2: downstandards for everyone and potentially making higher level math even

1495
01:10:54,200 --> 01:10:57,240
Speaker 2: less accessible to those who move through the California public

1496
01:10:57,360 --> 01:11:01,720
Speaker 2: education system. In fact, eight black faculty members argued to

1497
01:11:01,880 --> 01:11:04,679
Speaker 2: the University of California system in May of twenty twenty

1498
01:11:04,680 --> 01:11:08,120
Speaker 2: two that pushing data science over algebra two as a

1499
01:11:08,160 --> 01:11:12,439
Speaker 2: requirement quote will harm students from such groups by steering

1500
01:11:12,479 --> 01:11:16,479
Speaker 2: them away from being prepared for STEM majors. Why because

1501
01:11:16,520 --> 01:11:19,240
Speaker 2: they will not have access to the basic skills to

1502
01:11:19,360 --> 01:11:21,559
Speaker 2: keep up in class and will simply drop out. They

1503
01:11:21,560 --> 01:11:24,479
Speaker 2: will incur more student debt, or they will waste their time,

1504
01:11:24,680 --> 01:11:27,200
Speaker 2: and of course not they will actually not fulfill the

1505
01:11:27,280 --> 01:11:31,360
Speaker 2: desired outcome, which is more people of color allegedly.

1506
01:11:30,800 --> 01:11:33,240
Speaker 3: In these jobs and positions in these fields.

1507
01:11:33,560 --> 01:11:36,719
Speaker 2: The toughest part about all of his racial obsessed equity

1508
01:11:36,720 --> 01:11:40,120
Speaker 2: advocates in California is they are mixing important rhetoric with

1509
01:11:40,280 --> 01:11:42,000
Speaker 2: race and poisoning the well.

1510
01:11:42,280 --> 01:11:44,000
Speaker 3: On the one hand, they are not wrong.

1511
01:11:44,200 --> 01:11:47,800
Speaker 2: Data is obviously very important in our current society. When

1512
01:11:47,880 --> 01:11:50,000
Speaker 2: is the last time that you needed to quote divide

1513
01:11:50,000 --> 01:11:52,680
Speaker 2: by a polynomial? Did you really need to do that

1514
01:11:53,040 --> 01:11:55,559
Speaker 2: or did you need to understand large data sets their

1515
01:11:55,600 --> 01:11:59,439
Speaker 2: interaction with the world to actually get ahead. I totally

1516
01:11:59,479 --> 01:12:02,320
Speaker 2: get that on a conceptual level. The problem is that

1517
01:12:02,360 --> 01:12:06,160
Speaker 2: the curriculum they're putting forward seems like an awfully convenient

1518
01:12:06,240 --> 01:12:09,879
Speaker 2: way to get more desired minority groups into the University

1519
01:12:09,880 --> 01:12:13,519
Speaker 2: of California education system. And it also seems that by

1520
01:12:13,560 --> 01:12:16,400
Speaker 2: the talking point is to instead cover for a new

1521
01:12:16,520 --> 01:12:20,360
Speaker 2: affirmative action regime. Furthermore, to the black professor's point who

1522
01:12:20,400 --> 01:12:23,720
Speaker 2: dissented from this decision, the single most important thing that

1523
01:12:23,760 --> 01:12:27,479
Speaker 2: publication can do is give people a chance.

1524
01:12:27,920 --> 01:12:30,840
Speaker 3: Rich kids will always be fine, as they.

1525
01:12:30,760 --> 01:12:33,840
Speaker 2: Were in San Francisco, no matter what the school is,

1526
01:12:33,920 --> 01:12:37,000
Speaker 2: what they're doing. They will have tutors, prep courses, and

1527
01:12:37,040 --> 01:12:40,200
Speaker 2: they will have a culture that emphasizes learning. Public education

1528
01:12:40,320 --> 01:12:43,360
Speaker 2: should remain a place that demands rigorous standards in the

1529
01:12:43,439 --> 01:12:47,320
Speaker 2: name of both preparing better citizens, but also giving opportunities

1530
01:12:47,360 --> 01:12:50,800
Speaker 2: to ascend to higher social strata that people would never

1531
01:12:50,920 --> 01:12:53,240
Speaker 2: have had the chance if they did not attend that school.

1532
01:12:53,520 --> 01:12:56,599
Speaker 2: Asian kids of doctors and engineers, they've got no problems

1533
01:12:56,600 --> 01:12:57,799
Speaker 2: continuing those fields.

1534
01:12:57,960 --> 01:12:58,599
Speaker 3: But people of.

1535
01:12:58,560 --> 01:13:02,040
Speaker 2: Other races whose parents early completed high school have no

1536
01:13:02,240 --> 01:13:05,839
Speaker 2: idea what to do. It is the public education system's

1537
01:13:05,960 --> 01:13:09,880
Speaker 2: job to give them an actual opportunity and not think

1538
01:13:10,000 --> 01:13:13,800
Speaker 2: less of them by dumbing down standards and setting them

1539
01:13:13,880 --> 01:13:17,120
Speaker 2: up to fail, or just as bad, punishing high achieving

1540
01:13:17,160 --> 01:13:20,320
Speaker 2: students by actively discriminating against them. We are taking a

1541
01:13:20,360 --> 01:13:22,479
Speaker 2: major step back as a society if we go down

1542
01:13:22,520 --> 01:13:25,320
Speaker 2: this route. One hundred years ago, public education was a

1543
01:13:25,400 --> 01:13:28,240
Speaker 2: joke for poor people, while the elites ensconce themselves in

1544
01:13:28,280 --> 01:13:31,840
Speaker 2: boarding and finishing schools. There was little to no opportunity

1545
01:13:31,840 --> 01:13:35,439
Speaker 2: to actually ascend social rank absent very few outliers. The

1546
01:13:35,439 --> 01:13:39,120
Speaker 2: more public education becomes untenable for people with means, they

1547
01:13:39,160 --> 01:13:42,679
Speaker 2: will simply exit the system. They will segregate themselves further

1548
01:13:42,920 --> 01:13:45,680
Speaker 2: and diminish the cross class mingling, which is vital in

1549
01:13:45,720 --> 01:13:49,080
Speaker 2: our society and diminishes the ability to do better in life.

1550
01:13:49,320 --> 01:13:51,439
Speaker 2: Maybe that is a plan after all, But if it's not,

1551
01:13:51,800 --> 01:13:54,840
Speaker 2: we need to turn towards this equality of opportunity to

1552
01:13:54,920 --> 01:13:58,120
Speaker 2: give everyone an actual equal shot instead of trying to

1553
01:13:58,160 --> 01:14:00,760
Speaker 2: equalize everyone. I'm curious what you think, Chrystal. You've got

1554
01:14:00,840 --> 01:14:02,600
Speaker 2: kids in the public educations.

1555
01:14:02,160 --> 01:14:04,959
Speaker 1: And if you want to hear my reaction to Sager's monologue,

1556
01:14:05,040 --> 01:14:08,040
Speaker 1: become a premium subscriber today at Breakingpoints dot.

1557
01:14:07,880 --> 01:14:12,160
Speaker 2: Com, Cristal, what are you taking a look at?

1558
01:14:12,360 --> 01:14:15,920
Speaker 1: Well? The first major war has broken out between human

1559
01:14:16,000 --> 01:14:19,760
Speaker 1: beings and artificial intelligence. Now, this opening skirmish is at

1560
01:14:19,760 --> 01:14:22,680
Speaker 1: the core of the complete Hollywood shutdown, as actors have

1561
01:14:22,720 --> 01:14:26,200
Speaker 1: now joined writers on the picket lines. This strike, which

1562
01:14:26,240 --> 01:14:28,240
Speaker 1: is the first of its kinds since Ronald Reagan was

1563
01:14:28,280 --> 01:14:31,120
Speaker 1: head of the Screen Actors Guild. Asager pointed out, it's

1564
01:14:31,160 --> 01:14:33,479
Speaker 1: extraordinary for its breadth and for how it will impact

1565
01:14:33,560 --> 01:14:35,479
Speaker 1: all of our favorite shows and movies. But while the

1566
01:14:35,520 --> 01:14:38,839
Speaker 1: grievances are at their core typical workers' concerns of wages,

1567
01:14:38,880 --> 01:14:42,479
Speaker 1: working conditions, and fair treatment, the way that tech is

1568
01:14:42,720 --> 01:14:46,360
Speaker 1: upending this entire industry has emerged as a key concern

1569
01:14:46,439 --> 01:14:49,320
Speaker 1: for both the writers and the actors that are involved here.

1570
01:14:49,680 --> 01:14:52,479
Speaker 1: Just take a listen to SAG after President fran Dresher

1571
01:14:52,520 --> 01:14:56,080
Speaker 1: on why their members overwhelmingly felt compelled to strike.

1572
01:14:56,640 --> 01:15:05,320
Speaker 10: The entire business model has been changed by streaming digital AI.

1573
01:15:06,840 --> 01:15:09,559
Speaker 10: This is a moment of history, that is a moment

1574
01:15:09,640 --> 01:15:15,760
Speaker 10: of truth. If we don't stand tall right now, we

1575
01:15:15,840 --> 01:15:18,679
Speaker 10: are all going to be in trouble. We are all

1576
01:15:18,720 --> 01:15:22,720
Speaker 10: going to be in jeopardy of being replaced by machines

1577
01:15:23,600 --> 01:15:27,240
Speaker 10: and big business who cares more about Wall Street than

1578
01:15:27,280 --> 01:15:28,519
Speaker 10: you and your family.

1579
01:15:30,080 --> 01:15:32,880
Speaker 1: In an interview on MSNBC, she went into even greater

1580
01:15:32,960 --> 01:15:36,400
Speaker 1: depth about some of the specific AI proposals that the

1581
01:15:36,520 --> 01:15:38,679
Speaker 1: union had so recoiled that just take a listen.

1582
01:15:39,160 --> 01:15:42,640
Speaker 11: There are things that they want to have our background

1583
01:15:42,680 --> 01:15:48,320
Speaker 11: performers work one day for and get scanned for AI,

1584
01:15:48,840 --> 01:15:53,240
Speaker 11: and then they own the likeness of the person digitally,

1585
01:15:53,520 --> 01:15:55,800
Speaker 11: and they could use them over and over again. What

1586
01:15:56,040 --> 01:15:59,680
Speaker 11: is going to happen to that hardworking background person. They're

1587
01:15:59,680 --> 01:16:02,639
Speaker 11: going to be out of business. This is the kind

1588
01:16:02,680 --> 01:16:04,519
Speaker 11: of thing that's happening all over the world.

1589
01:16:04,920 --> 01:16:07,719
Speaker 1: The issues that are being brought up are so novel,

1590
01:16:07,840 --> 01:16:11,479
Speaker 1: and yet in some ways the struggle is the same.

1591
01:16:11,280 --> 01:16:11,960
Speaker 3: As it ever was.

1592
01:16:12,320 --> 01:16:14,080
Speaker 1: So just to give you a little bit of context here,

1593
01:16:14,120 --> 01:16:16,800
Speaker 1: according to the Actors' Union, Hollywood studios want to be

1594
01:16:16,840 --> 01:16:19,920
Speaker 1: able to scan actors in order to create AI replicas,

1595
01:16:20,120 --> 01:16:23,240
Speaker 1: which those studios could then use for whatever they want,

1596
01:16:23,640 --> 01:16:27,560
Speaker 1: literally forever. Now, if that's true, that proposal would completely

1597
01:16:27,600 --> 01:16:31,200
Speaker 1: destroy the livelihoods of many actors who depend on background

1598
01:16:31,280 --> 01:16:34,040
Speaker 1: work in order to make ends meet. Would basically be

1599
01:16:34,120 --> 01:16:37,200
Speaker 1: the end of movie extras. Remember, the overwhelming majority of

1600
01:16:37,240 --> 01:16:41,280
Speaker 1: actors are not the superstar, multimillionaire celebrities that become household names.

1601
01:16:41,560 --> 01:16:44,400
Speaker 1: They are more likely to be the background actors who

1602
01:16:44,400 --> 01:16:46,640
Speaker 1: are living paycheck to paycheck, but who are still a

1603
01:16:46,720 --> 01:16:49,840
Speaker 1: key part of making your favorite show or film. Now,

1604
01:16:49,840 --> 01:16:52,760
Speaker 1: the studios did push back on this characterization, saying the

1605
01:16:52,760 --> 01:16:55,519
Speaker 1: current proposal would only allow the AI scans to be

1606
01:16:55,640 --> 01:16:58,519
Speaker 1: used on that particular production for which the background actor

1607
01:16:58,560 --> 01:17:03,080
Speaker 1: is employed. Would be really disastrous for them, and apparently

1608
01:17:03,080 --> 01:17:06,120
Speaker 1: this tech is already being deployed in the industry. Actress

1609
01:17:06,160 --> 01:17:09,639
Speaker 1: Lina Hall wrote on Twitter quote, So Snowpairs for season

1610
01:17:09,680 --> 01:17:12,920
Speaker 1: four did a full body scan and full range of

1611
01:17:12,920 --> 01:17:16,080
Speaker 1: emotion capture of all the series regulars on the show,

1612
01:17:16,120 --> 01:17:19,040
Speaker 1: not ever telling us the real reason why. Now I

1613
01:17:19,160 --> 01:17:22,920
Speaker 1: know why, and it's really disturbing because I did not consent.

1614
01:17:23,520 --> 01:17:26,240
Speaker 1: Writers are also striking in part over AI concerns. They

1615
01:17:26,280 --> 01:17:29,000
Speaker 1: fear that in a world where streaming networks are desperate

1616
01:17:29,040 --> 01:17:31,519
Speaker 1: to churn out just as much content as they possibly

1617
01:17:31,560 --> 01:17:34,639
Speaker 1: can as quickly as possible, studios could turn to AI

1618
01:17:34,760 --> 01:17:37,200
Speaker 1: to cut writers out of the process as much as

1619
01:17:37,200 --> 01:17:40,160
Speaker 1: they can. According to The Independent Quote, members of the

1620
01:17:40,160 --> 01:17:44,000
Speaker 1: Writers Guild of America WGA shared concerns that producers may

1621
01:17:44,000 --> 01:17:46,920
Speaker 1: seek to use AI to write scripts, or at least

1622
01:17:47,200 --> 01:17:51,040
Speaker 1: use the technology to complete unfinished screenplayers plays, and have

1623
01:17:51,160 --> 01:17:55,000
Speaker 1: also urged production houses to agree to safeguards around its usage.

1624
01:17:55,120 --> 01:17:58,000
Speaker 1: Screenwriters fear AI could be used to churn out a

1625
01:17:58,160 --> 01:18:01,520
Speaker 1: rough first draft with a few simp prompts, and writers

1626
01:18:01,560 --> 01:18:04,559
Speaker 1: may then be hired after this initial step to punch

1627
01:18:04,600 --> 01:18:08,599
Speaker 1: such drafts up, albeit at a lower pay rate. These

1628
01:18:08,640 --> 01:18:12,200
Speaker 1: concerns expose the techno optimist lie that AI will create

1629
01:18:12,439 --> 01:18:16,120
Speaker 1: more jobs than it destroys. Thousands of background actors could

1630
01:18:16,120 --> 01:18:18,479
Speaker 1: be put out of work. How many coders will it

1631
01:18:18,520 --> 01:18:21,919
Speaker 1: take to program their likenesses into the background? Handful maybe,

1632
01:18:22,160 --> 01:18:24,599
Speaker 1: And the job of writer might remain, but it will

1633
01:18:24,600 --> 01:18:27,400
Speaker 1: be degraded so that they will effectively be assistance to

1634
01:18:27,439 --> 01:18:30,719
Speaker 1: the bots cleaning up the drafts that AI turns out.

1635
01:18:31,160 --> 01:18:33,280
Speaker 1: And what's true for this industry is going to be

1636
01:18:33,360 --> 01:18:36,280
Speaker 1: true for many, many more, because bosses are always going

1637
01:18:36,320 --> 01:18:39,280
Speaker 1: to look for ways to use fewer workers. Workers are expensive,

1638
01:18:39,439 --> 01:18:41,680
Speaker 1: they have rights, and there's at least some limitations on

1639
01:18:41,720 --> 01:18:44,639
Speaker 1: how much you're allowed to exploit them. Bots they never

1640
01:18:44,720 --> 01:18:47,320
Speaker 1: talk back, they never need time off, and they require

1641
01:18:47,560 --> 01:18:50,880
Speaker 1: no humanity. If the country only cares about profits for

1642
01:18:50,920 --> 01:18:54,200
Speaker 1: the top, human beings could become truly disposable. That's to

1643
01:18:54,240 --> 01:18:56,880
Speaker 1: say nothing of the way that Hollywood has already been

1644
01:18:56,880 --> 01:18:59,920
Speaker 1: degraded and stripped of beauty, risk taking, and creativity by

1645
01:19:00,080 --> 01:19:03,880
Speaker 1: the demand to place the safest, most market palatable bet. Now,

1646
01:19:03,880 --> 01:19:05,599
Speaker 1: you may not think that this fight has a lot

1647
01:19:05,640 --> 01:19:07,479
Speaker 1: to do with you and then creating an annoyance as

1648
01:19:07,479 --> 01:19:10,120
Speaker 1: your favorite show production is delayed. You may think that

1649
01:19:10,120 --> 01:19:12,439
Speaker 1: these Hollywood stars and starlits have nothing in common with

1650
01:19:12,479 --> 01:19:14,439
Speaker 1: you and our privileged to even have the ability to

1651
01:19:14,479 --> 01:19:16,840
Speaker 1: complain about all of this. And you know what, there's

1652
01:19:16,840 --> 01:19:19,480
Speaker 1: some truth to that. After all. It is their prominence,

1653
01:19:19,640 --> 01:19:22,040
Speaker 1: combined with their union power, by the way, which is

1654
01:19:22,080 --> 01:19:24,519
Speaker 1: the only thing that even gives them a chance to

1655
01:19:24,520 --> 01:19:26,720
Speaker 1: push back on any of this. But this is just

1656
01:19:26,760 --> 01:19:31,000
Speaker 1: the beginning. Automation has already come for blue collar America.

1657
01:19:31,120 --> 01:19:34,200
Speaker 1: Now it's coming for white collar workers too. Everyone now

1658
01:19:34,240 --> 01:19:36,360
Speaker 1: has an interest in seeing the shared threat to their

1659
01:19:36,400 --> 01:19:39,800
Speaker 1: livelihoods and supporting one another in these struggles that will

1660
01:19:39,880 --> 01:19:42,080
Speaker 1: draw new lines in the sand of what is acceptable

1661
01:19:42,280 --> 01:19:46,040
Speaker 1: and what is immoral in this new landscape. Bottom line,

1662
01:19:46,120 --> 01:19:50,559
Speaker 1: technology should benefit human beings, not destroy their lives. Because

1663
01:19:50,560 --> 01:19:53,160
Speaker 1: in this future that we are just catching a glimpse of,

1664
01:19:53,280 --> 01:19:55,360
Speaker 1: it's not that people will become wholly irrelevant. It's that

1665
01:19:55,400 --> 01:19:57,800
Speaker 1: the gulf between the haves and have nots will become

1666
01:19:57,880 --> 01:20:00,559
Speaker 1: ever greater as the owner class separation it's more and

1667
01:20:00,640 --> 01:20:03,240
Speaker 1: more from the labor class. It's that every last sector

1668
01:20:03,240 --> 01:20:07,240
Speaker 1: of our lives will be colonized, commoditized for profit. And

1669
01:20:07,280 --> 01:20:09,599
Speaker 1: if this brave new world can come for Hollywood stars

1670
01:20:09,640 --> 01:20:14,160
Speaker 1: and starlits, what chance do ordinary people ultimately stand? And

1671
01:20:14,439 --> 01:20:17,200
Speaker 1: I think this is a very telling saga of where

1672
01:20:17,240 --> 01:20:18,120
Speaker 1: all of these fights are here.

1673
01:20:18,160 --> 01:20:20,879
Speaker 2: And if you want to hear my reaction to Crystal's monologue,

1674
01:20:20,880 --> 01:20:24,040
Speaker 2: become a premium subscriber today at Breakingpoints dot Com.

1675
01:20:27,000 --> 01:20:28,360
Speaker 3: Joining us now is Doug Demiro.

1676
01:20:28,479 --> 01:20:31,200
Speaker 2: He is a car YouTuber, a very popular host of

1677
01:20:31,240 --> 01:20:33,160
Speaker 2: his channel over there, which will have a link on

1678
01:20:33,200 --> 01:20:33,679
Speaker 2: the description.

1679
01:20:33,720 --> 01:20:35,080
Speaker 3: Doug, it's great to see you. Thank you so much

1680
01:20:35,080 --> 01:20:35,680
Speaker 3: for joining us.

1681
01:20:35,960 --> 01:20:36,720
Speaker 4: Thank you for having me.

1682
01:20:36,760 --> 01:20:38,519
Speaker 3: I appreciate it absolutely so.

1683
01:20:38,760 --> 01:20:40,960
Speaker 2: We have an audience very interested in use cars. We've

1684
01:20:41,000 --> 01:20:43,479
Speaker 2: been tracking it in terms of the economy. It's a

1685
01:20:43,520 --> 01:20:46,599
Speaker 2: key benchmark really of the ability for middle class life

1686
01:20:46,640 --> 01:20:48,080
Speaker 2: and others to have accessibility.

1687
01:20:48,160 --> 01:20:49,759
Speaker 3: Let's put this up there on the screen.

1688
01:20:49,960 --> 01:20:53,200
Speaker 2: We have some interesting price movement in the used car market,

1689
01:20:53,439 --> 01:20:57,719
Speaker 2: used ev prices actually collapsing. Tesla being the reason why

1690
01:20:57,760 --> 01:20:59,960
Speaker 2: we know this is a space that you are particularly

1691
01:21:00,200 --> 01:21:02,400
Speaker 2: very interested in. What's your sense of the used car

1692
01:21:02,439 --> 01:21:04,800
Speaker 2: market and how it's interacting with evs right now.

1693
01:21:05,720 --> 01:21:08,480
Speaker 12: Well, I think the used car market in general finally

1694
01:21:08,560 --> 01:21:10,360
Speaker 12: seems to be slowing down a little bit after a

1695
01:21:10,439 --> 01:21:13,759
Speaker 12: long long time as everyone has seen of crazy prices

1696
01:21:13,800 --> 01:21:17,839
Speaker 12: and enormously high demand and low supply. Frankly, but electric

1697
01:21:17,920 --> 01:21:20,639
Speaker 12: vehicles specifically do seem to be falling more than others.

1698
01:21:20,680 --> 01:21:22,760
Speaker 12: I think there's a lot of different reasons for this.

1699
01:21:24,400 --> 01:21:26,680
Speaker 12: One big factor is Tesla, who's of course, like the

1700
01:21:26,720 --> 01:21:30,840
Speaker 12: biggest electric vehicle providers, still the biggest manufacturer. You know,

1701
01:21:30,880 --> 01:21:34,080
Speaker 12: they've had some price cuts as supply has more caught

1702
01:21:34,160 --> 01:21:36,360
Speaker 12: up with demand. They've kind of lowered their prices of

1703
01:21:36,360 --> 01:21:39,360
Speaker 12: their new vehicles, which has in turn driven down, you know,

1704
01:21:39,479 --> 01:21:42,400
Speaker 12: pricing for used vehicles as people could just go buy

1705
01:21:42,439 --> 01:21:44,719
Speaker 12: new ones. But I think there's more factors that play also.

1706
01:21:44,800 --> 01:21:46,960
Speaker 12: Gas prices are not what they were, you know, six

1707
01:21:47,000 --> 01:21:47,880
Speaker 12: months or a year ago.

1708
01:21:47,920 --> 01:21:50,040
Speaker 4: They've come down a little bit. That helps some relief

1709
01:21:50,160 --> 01:21:51,719
Speaker 4: that you know, provides a little relief.

1710
01:21:52,120 --> 01:21:54,120
Speaker 12: And I think, you know, supply and demand are finally

1711
01:21:54,120 --> 01:21:54,960
Speaker 12: catching up a little bit.

1712
01:21:55,000 --> 01:21:57,240
Speaker 4: Of course, there's interest rate. It's a lot of different factors.

1713
01:21:57,560 --> 01:21:59,040
Speaker 1: Yeah, can you take us through a little bit of

1714
01:21:59,040 --> 01:22:01,439
Speaker 1: the story of the broad used car market, because this

1715
01:22:01,560 --> 01:22:04,000
Speaker 1: ended up being a really key driver of inflation. Was

1716
01:22:04,040 --> 01:22:06,200
Speaker 1: something that we have been tracking here really closely because

1717
01:22:06,240 --> 01:22:08,599
Speaker 1: these prices, both of new and used cars, but used

1718
01:22:08,640 --> 01:22:11,720
Speaker 1: in particular, were really out of control. Was it just

1719
01:22:11,760 --> 01:22:13,640
Speaker 1: supply chain issues or what was the story of what

1720
01:22:13,680 --> 01:22:15,280
Speaker 1: was going on there?

1721
01:22:14,840 --> 01:22:17,120
Speaker 12: If I were to sum it up in sort of

1722
01:22:17,160 --> 01:22:19,080
Speaker 12: the biggest component of it, I would say that supply

1723
01:22:19,120 --> 01:22:21,120
Speaker 12: chain issues was certainly the largest factory. You know, when

1724
01:22:21,160 --> 01:22:24,559
Speaker 12: COVID happened, a lot of automakers shut down production facilities.

1725
01:22:24,280 --> 01:22:26,560
Speaker 4: Thinking that no one was going to buy their cars.

1726
01:22:26,200 --> 01:22:28,920
Speaker 12: And then production facilities were kind of forced to shut

1727
01:22:28,960 --> 01:22:32,559
Speaker 12: down because they weren't able to produce during COVID because

1728
01:22:32,560 --> 01:22:34,559
Speaker 12: of you know, people being close together, et cetera. And

1729
01:22:34,600 --> 01:22:37,680
Speaker 12: that really put automakers behind. When then interest rates went

1730
01:22:37,760 --> 01:22:40,120
Speaker 12: way down and demand went way up. And so when

1731
01:22:40,200 --> 01:22:42,080
Speaker 12: demand is really high for new cars and the new

1732
01:22:42,120 --> 01:22:45,200
Speaker 12: cars don't exist, of course people then turned to used

1733
01:22:45,240 --> 01:22:48,360
Speaker 12: cars to go and buy them, and that drove used

1734
01:22:48,360 --> 01:22:50,200
Speaker 12: car prices absolutely through the roof.

1735
01:22:50,360 --> 01:22:51,400
Speaker 4: And so that was a big factor.

1736
01:22:51,400 --> 01:22:53,720
Speaker 12: But then you have the other factor of you've had

1737
01:22:53,760 --> 01:22:57,000
Speaker 12: basically two years of very limited new car production, and

1738
01:22:57,040 --> 01:22:59,679
Speaker 12: so we're seeing in terms of you know, lease returns

1739
01:22:59,680 --> 01:23:02,320
Speaker 12: coming back and trade ins. There was just like almost

1740
01:23:02,320 --> 01:23:04,880
Speaker 12: a hole for the twenty twenty into twenty twenty two

1741
01:23:04,920 --> 01:23:08,200
Speaker 12: model years where there weren't as many cars made, and

1742
01:23:08,240 --> 01:23:09,880
Speaker 12: that's going to have a ripple effect on used car

1743
01:23:09,960 --> 01:23:12,679
Speaker 12: prices for a while, even though we're starting to see

1744
01:23:12,680 --> 01:23:13,479
Speaker 12: it kind of tape.

1745
01:23:13,320 --> 01:23:14,280
Speaker 3: Off right, Doug.

1746
01:23:14,439 --> 01:23:16,920
Speaker 2: Something some of my favorite videos that I've done is

1747
01:23:16,960 --> 01:23:19,280
Speaker 2: about assessing the worth of an actual car. Some of

1748
01:23:19,320 --> 01:23:22,439
Speaker 2: these are supercars, which are definitely fun to aspirationally watch.

1749
01:23:22,479 --> 01:23:25,000
Speaker 2: I'm sure that's why they're so popular. But what goes

1750
01:23:25,040 --> 01:23:27,880
Speaker 2: into assessing the worth of a car of a normal

1751
01:23:27,920 --> 01:23:30,599
Speaker 2: car that you or you know, a normal person might drive.

1752
01:23:30,800 --> 01:23:32,559
Speaker 2: Somebody is like, I need something to get to work

1753
01:23:32,800 --> 01:23:34,800
Speaker 2: back and forth. How do they have to think about

1754
01:23:34,800 --> 01:23:36,360
Speaker 2: it in this changing market right now?

1755
01:23:36,840 --> 01:23:40,080
Speaker 4: I guess it's kind of based.

1756
01:23:39,760 --> 01:23:41,840
Speaker 12: Largely on how much do you need or want a

1757
01:23:41,960 --> 01:23:44,880
Speaker 12: vehicle at the moment, right when parks are really cheap

1758
01:23:44,880 --> 01:23:47,280
Speaker 12: and supply is huge and you can get a great deal.

1759
01:23:47,520 --> 01:23:49,360
Speaker 12: Some people think nothing of Hey, I've had my car

1760
01:23:49,400 --> 01:23:50,679
Speaker 12: for a year, so I'm going to go trade into

1761
01:23:50,720 --> 01:23:53,080
Speaker 12: a different car. Whatever, you know, it's ten grand off,

1762
01:23:53,080 --> 01:23:55,479
Speaker 12: it doesn't matter. But in today's world, it's more like,

1763
01:23:55,520 --> 01:23:58,360
Speaker 12: oh my god, cars are so expensive and interest rates

1764
01:23:58,360 --> 01:23:59,840
Speaker 12: are so high. You know, I don't want to trade

1765
01:23:59,880 --> 01:24:01,759
Speaker 12: up my car unless I've had been in an accident

1766
01:24:01,760 --> 01:24:03,760
Speaker 12: and desperately need a new vehicle, or my family has

1767
01:24:03,800 --> 01:24:05,960
Speaker 12: grown and I need a van or an suv, And so,

1768
01:24:06,360 --> 01:24:08,160
Speaker 12: you know, in terms of assessing like what a car

1769
01:24:08,240 --> 01:24:09,800
Speaker 12: is worth, it almost becomes a question of what it

1770
01:24:09,840 --> 01:24:13,240
Speaker 12: is worth to someone, and it becomes a question of

1771
01:24:13,280 --> 01:24:15,880
Speaker 12: what you know their personal circumstances. Is it really worth

1772
01:24:15,880 --> 01:24:18,719
Speaker 12: paying a thousand, five thousand dollars over the sticker price

1773
01:24:18,720 --> 01:24:21,639
Speaker 12: for a Honda Odyssey? You know, people made those decisions

1774
01:24:21,680 --> 01:24:23,560
Speaker 12: a couple of years ago about a necessity.

1775
01:24:24,240 --> 01:24:26,519
Speaker 1: Yeah, And what are some of the factors that are

1776
01:24:26,600 --> 01:24:30,160
Speaker 1: contributing to prices now coming back to earth and being

1777
01:24:30,160 --> 01:24:32,400
Speaker 1: more in line with whatever normalcy is.

1778
01:24:33,200 --> 01:24:35,200
Speaker 12: I think that there's a lot of different factors now.

1779
01:24:35,240 --> 01:24:37,920
Speaker 12: I think supply is finally catching up with demand. Automakers

1780
01:24:37,960 --> 01:24:39,880
Speaker 12: are kind of back producing again, and a lot of

1781
01:24:40,280 --> 01:24:42,360
Speaker 12: now not all, but a lot of car companies have

1782
01:24:42,400 --> 01:24:45,280
Speaker 12: been able to bring things back to a relatively more

1783
01:24:45,320 --> 01:24:47,960
Speaker 12: normal inventory level, so new cars are more available. But

1784
01:24:48,000 --> 01:24:50,080
Speaker 12: I think actually a huge component of it, just like

1785
01:24:50,080 --> 01:24:51,880
Speaker 12: in housing, is interest rates. You know, it was one

1786
01:24:51,880 --> 01:24:53,360
Speaker 12: thing when you could go and finance a car at

1787
01:24:53,439 --> 01:24:56,280
Speaker 12: zero percent or at one percent, a lot of people

1788
01:24:56,320 --> 01:24:58,639
Speaker 12: again thought not much of doing that. When things are

1789
01:24:58,680 --> 01:25:02,320
Speaker 12: seven eight percent, when automate are offering deals at five percent,

1790
01:25:02,720 --> 01:25:04,280
Speaker 12: then you see it becomes a.

1791
01:25:04,240 --> 01:25:06,720
Speaker 4: Little bit less, it becomes a little bit harder to

1792
01:25:06,760 --> 01:25:08,000
Speaker 4: go and justify that to yourself.

1793
01:25:08,080 --> 01:25:10,439
Speaker 12: I think that's having some downward pressure on the car

1794
01:25:10,520 --> 01:25:11,200
Speaker 12: market as well.

1795
01:25:11,439 --> 01:25:14,439
Speaker 1: Yeah, and one thing we've tracked is all sorts of

1796
01:25:14,560 --> 01:25:18,320
Speaker 1: personal debt measures are up. Credit card debt is you know,

1797
01:25:18,680 --> 01:25:20,320
Speaker 1: is massive at this point. Are you seeing the same

1798
01:25:20,360 --> 01:25:22,160
Speaker 1: thing in terms of car financing.

1799
01:25:22,920 --> 01:25:25,200
Speaker 12: I've generally heard that that's that that's been true that

1800
01:25:25,200 --> 01:25:28,040
Speaker 12: car financing and car debt has been sort of at.

1801
01:25:28,000 --> 01:25:29,000
Speaker 4: Higher higher levels.

1802
01:25:29,200 --> 01:25:31,639
Speaker 12: I mean, sticker prices of cars have continued to go up,

1803
01:25:31,720 --> 01:25:33,599
Speaker 12: and as we saw over the last couple of years,

1804
01:25:33,760 --> 01:25:36,360
Speaker 12: there was that an enormous amount of you know, deals

1805
01:25:36,400 --> 01:25:38,080
Speaker 12: to be had in the car world, so people were

1806
01:25:38,120 --> 01:25:41,720
Speaker 12: financing larger and larger percentages of cars in terms of

1807
01:25:41,720 --> 01:25:43,679
Speaker 12: like their values, and so I think that that certainly

1808
01:25:43,680 --> 01:25:44,920
Speaker 12: has has happened as well.

1809
01:25:45,400 --> 01:25:48,000
Speaker 3: My last question really focuses on electric vehicles.

1810
01:25:48,000 --> 01:25:50,840
Speaker 2: We've seen an explosion in the market, even anecdotally. I

1811
01:25:50,880 --> 01:25:53,520
Speaker 2: see Rivians on the road now, I see some BMW

1812
01:25:54,040 --> 01:25:54,760
Speaker 2: electric cars.

1813
01:25:54,760 --> 01:25:56,639
Speaker 3: I've seen a Kia, the Hyundai, the Tesla.

1814
01:25:56,720 --> 01:26:01,320
Speaker 2: Obviously, as we see increasing penetration along with what we're

1815
01:26:01,320 --> 01:26:03,920
Speaker 2: seeing in terms of subsidies and all that, what's your

1816
01:26:03,960 --> 01:26:06,160
Speaker 2: general sense of where the EV market will go? Do

1817
01:26:06,200 --> 01:26:08,800
Speaker 2: you think that we'll see the price continue to come down,

1818
01:26:08,880 --> 01:26:11,320
Speaker 2: become even more accessible to the middle class and the

1819
01:26:11,320 --> 01:26:13,639
Speaker 2: lower middle class, Like how far away are we away

1820
01:26:13,680 --> 01:26:16,639
Speaker 2: from it becoming a standard vehicle that a normal person

1821
01:26:16,640 --> 01:26:19,600
Speaker 2: will consider even as their first car with limited finances.

1822
01:26:20,080 --> 01:26:21,760
Speaker 12: That's a great question. I mean, I think that's one

1823
01:26:21,800 --> 01:26:23,719
Speaker 12: of the big questions right now in the car industry

1824
01:26:23,760 --> 01:26:26,320
Speaker 12: in general, because, as you're kind of implying between BMW

1825
01:26:26,360 --> 01:26:29,000
Speaker 12: and Rivian and Tesla, most of the electric cars that

1826
01:26:29,040 --> 01:26:30,920
Speaker 12: have been on the market so far have been higher

1827
01:26:31,040 --> 01:26:34,680
Speaker 12: end vehicles, and so, yeah, will they become more mainstream?

1828
01:26:34,760 --> 01:26:37,160
Speaker 4: Sure? When will that happen? I think that's like the

1829
01:26:37,160 --> 01:26:37,840
Speaker 4: big question.

1830
01:26:37,960 --> 01:26:40,439
Speaker 12: It's certainly coming down more and more between the Model

1831
01:26:40,439 --> 01:26:42,920
Speaker 12: threes and yeah, the Kiev six, the hundae Onic five

1832
01:26:43,040 --> 01:26:45,360
Speaker 12: cars and the forty to fifty thousand dollars price point,

1833
01:26:45,920 --> 01:26:48,160
Speaker 12: but it's still not ubiquitous. And I think the charging

1834
01:26:48,160 --> 01:26:50,360
Speaker 12: infrastructure is a component of that. When are people going

1835
01:26:50,439 --> 01:26:52,600
Speaker 12: to be able to get chargers to street parking, to

1836
01:26:52,760 --> 01:26:55,720
Speaker 12: apartments that kind of thing. That's a factor, But I

1837
01:26:55,720 --> 01:26:58,760
Speaker 12: think it'll be still some years away before you see

1838
01:26:58,880 --> 01:27:01,479
Speaker 12: just full widespread adoption of electric vehicles.

1839
01:27:02,280 --> 01:27:03,519
Speaker 4: I don't think we're quite there yet.

1840
01:27:03,760 --> 01:27:06,000
Speaker 1: Yeah, yeah, I think that the charging infrastructure, to me

1841
01:27:06,080 --> 01:27:08,640
Speaker 1: is the biggest piece. I have an electric vehicle, so

1842
01:27:08,720 --> 01:27:12,040
Speaker 1: does Soccer. But I would not want to only have

1843
01:27:12,080 --> 01:27:14,840
Speaker 1: an electric vehicle because for long road trips and things,

1844
01:27:14,880 --> 01:27:16,880
Speaker 1: I just you know, I would be nervous about being

1845
01:27:16,880 --> 01:27:19,400
Speaker 1: able to make all of that work. Doug, so great

1846
01:27:19,439 --> 01:27:21,280
Speaker 1: to have you. Thank you so much for your insights.

1847
01:27:21,560 --> 01:27:22,720
Speaker 1: We really enjoyed talking to you.

1848
01:27:22,800 --> 01:27:24,040
Speaker 3: Yeah, we'd love to have you back, Doug.

1849
01:27:24,040 --> 01:27:25,920
Speaker 4: Thank you, Yeah, definitely, thanks for having me.

1850
01:27:26,000 --> 01:27:27,479
Speaker 2: All Right, guys, we'll see you later. We've got a

1851
01:27:27,520 --> 01:27:30,400
Speaker 2: fun candidate interview coming up which'll post later today for

1852
01:27:30,439 --> 01:27:32,360
Speaker 2: our previous subscribers. I think you're going to want to

1853
01:27:32,400 --> 01:27:34,400
Speaker 2: take a look at that, so check your inbox.

1854
01:27:34,479 --> 01:27:35,360
Speaker 3: We'll see you guys later