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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. Good morning, everybody,

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Speaker 2: Happy Monday. We have an amazing show for everybody today.

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

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Speaker 1: We've got lots of big updates on the dead ceiling,

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Speaker 1: but many questions remain, so we will break all of

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Speaker 1: that down for you. Also, Ronda Santa is taking his

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Speaker 1: strongest shots yet at Donald Trump. Kind of interesting the

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Speaker 1: way that he is attacking him, so we will play

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Speaker 1: those comments for you as well. Also, some pretty interesting

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Speaker 1: revelations about chat GPT and just how it just invents

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Speaker 1: stuff all the time, all the time, like way more

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Speaker 1: than maybe you thought, certainly more than I thought, so

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Speaker 1: we'll dig into that. We also have some new numbers

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Speaker 1: about where jobs are moving within the United States, and

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Speaker 1: of course workers along with them, and some new comments

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Speaker 1: from Jake Tapper about Joe Biden's pull numbers, which are

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Speaker 1: kind of astonishing.

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Speaker 3: So that is all very interesting.

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Speaker 1: But before we get to any of that, this is

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Speaker 1: officially our last week in this particular on this particular set,

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Speaker 1: in this studio.

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Speaker 2: It's sad. It's sad. It's gonna say. It's gonna be

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Speaker 2: hard to say goodbye to this desk after we designed

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Speaker 2: it ourselves, Crystal and shepherded it, this entire set. There's

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Speaker 2: a lot of emotions flying through the studio, but we're

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Speaker 2: really excited for what comes next. Thank you to the

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Speaker 2: Premium members who've been helping us out. As we've said,

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Speaker 2: we recently had got a delivery of the largest television

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Speaker 2: that world has ever seen.

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Speaker 3: Nobody can relate these genuinely insane.

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Speaker 2: I can't even believe looking at these boxes. You guys

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Speaker 2: are the ones who are helping us pay for it.

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Speaker 2: It's the biggest expense ever in the history of our company.

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Speaker 2: So thank you all so so much who are signing

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Speaker 2: up and helping support us at this time. It's breakingpoints

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Speaker 2: dot com if you're able to, And then of course

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Speaker 2: it's also Memorial Day, so don't want to let that

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Speaker 2: pass without taking just a moment or something. If you

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Speaker 2: know somebody who either lost someone or you actually are

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Speaker 2: somebody who lost someone, you know thinking about you and

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Speaker 2: that person on this day. So think about that just

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Speaker 2: for a bit before you go and enjoy your Memorial Day.

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Speaker 1: Yes, indeed, but also hope that you are enjoying your

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Speaker 1: Memorial Day out there.

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Speaker 3: So do both of those things.

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Speaker 1: Yeah, all right, So let's get to the very latest

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Speaker 1: of what we know about the debt sealing. There is

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Speaker 1: a tentative deal that has been reached between Biden and

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Speaker 1: Kevin McCarthy.

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Speaker 3: I'll give you the details of it and in just

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Speaker 3: a moment.

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Speaker 1: Important keep in mind, though, that they've got to sell

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Speaker 1: this deal to the Democrats and maybe most Dice Lee

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Speaker 1: that's not really word, but you guys know what I'm

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Speaker 1: trying to say to the Republican caucus, number of whom

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Speaker 1: have already come out and said like, hell, no, this

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Speaker 1: is horrible, this is disgusting, et cetera, et cetera. Let's

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Speaker 1: take a listen, though, to start with how President Biden

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Speaker 1: was selling this deal to the press yesterday.

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Speaker 4: Take a listen, and the agreement also represents the compromises

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Speaker 4: me as known. Got everything they want, But that's the

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Speaker 4: responsibility of governing. Suppose you want to try to make

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Speaker 4: it look like I made some compromise in the debt stealing,

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Speaker 4: and I didn't.

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Speaker 5: I made a compromise on the budget.

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Speaker 6: That's what they wanted.

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Speaker 4: It is you make a compromise on the budget, and

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Speaker 4: that's what you've done, even though you haven't gone as

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Speaker 4: far as they wanted. Isn't that sure?

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Speaker 7: Yeah?

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Speaker 5: Well, can you think of an alternative? I think he

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Speaker 5: negotiated with me in good faith. He kept his word,

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Speaker 5: He said what he would do, He did what he

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Speaker 5: said he'd do, and I have no idea what to

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Speaker 5: have votes I expect he does.

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Speaker 1: No idea whether McCarthy has the votes. I expect he does.

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Speaker 1: Nobody got everything they wanted. There was a lot of

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Speaker 1: cope in there about them being like, you said you

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Speaker 1: weren't going to negotiate, and now you're negotiating. He's like,

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Speaker 1: I didn't negotiate at all. This is on the budget,

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Speaker 1: not the dead's doing. Okay, dude, whatever. So we still

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Speaker 1: don't have all the details of this tentative agreement. So

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Speaker 1: but we have some of the outlines here top lines.

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Speaker 1: Here's Jeff Stein's reporting from the Washington Post. Go and

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Speaker 1: put this up on the screen. So he says, smmary

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Speaker 1: of deal, as I understand it, again, important caveats because

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Speaker 1: nobody has all of the specifics yet. Debt ceiling raised

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Speaker 1: for two years, so it gets Joe Biden passed the

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Speaker 1: next election. Domestic programs frozen next year and then up

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Speaker 1: one percent in twenty twenty five, so it's an inflation

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Speaker 1: adjusted cut that was more along the lines of what

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Speaker 1: Democrats were pushing for.

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Speaker 3: Joe Biden was pushing for.

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Speaker 1: It does lift defense spending and also veterans affairs money.

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Speaker 1: There is some tightening of work requirements on TAMP, which

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Speaker 1: is which is the welfare program, and SNAP, which is

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Speaker 1: food stamps Energy Permitting details to be determined. I think

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Speaker 1: Joe Manchin got his pipeline deal in there clawback some

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Speaker 1: new IRS dollars, but not as far as Republicans had

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Speaker 1: originally floated. He goes on to say work requirement for

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Speaker 1: food Stamps moves from age fifty to age fifty four.

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Speaker 1: Trying to get more clarity on TAMP. Sorry, I'm not sure.

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Speaker 1: We'll update when I learn more details. My understanding is

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Speaker 1: the energy permitting changes are very minimal. Go ahead to

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Speaker 1: the next piece here some additionals a details. Remember one

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Speaker 1: of the things that Republicans were pushing for was to

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Speaker 1: end the student loan debt forgiveness program. He says, there

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Speaker 1: is a student loan provision as well. The agreement, as

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Speaker 1: I understand it, codifies into law the administration's existing plan

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Speaker 1: to end for barants, so payments will restart. Theoretically, if

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Speaker 1: there is another emergency, they could and again enact of moratorium,

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Speaker 1: no change to Biden's student debt cancelation program. He goes

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Speaker 1: on to say, I'll be watching very carefully to what

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Speaker 1: precisely happened to the portion of the federal government that

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Speaker 1: covers anti poverty.

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Speaker 3: Programs over two years.

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Speaker 1: In inflation adjust terms, it could look like a more

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Speaker 1: significant cut than flat funding suggests. Interesting, we actually have

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Speaker 1: gotten some more details about the snap cuts. In particular,

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Speaker 1: it's not even clear that it will be an overall

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Speaker 1: cut to the program, because while they are tightening up

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Speaker 1: work requirements for people age fifty to fifty four, they

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Speaker 1: are eliminating work requirements for people who are homeless and

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Speaker 1: also for veterans.

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Speaker 3: So you have your sort of just shifting who.

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Speaker 1: Is eligible for SNAP without work requirements, So it's not

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Speaker 1: even apparent that that is a cut across the board.

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Speaker 1: So Mattaglesius, I think had a good analysis and then saga,

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Speaker 1: I want to get your view of all of this

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Speaker 1: as well. Put this up on the screen from his substack.

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Speaker 1: He says, I thought this was maybe the best line.

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Speaker 1: If you ignore everything about the circumstances of how this

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Speaker 1: came together, it's really not a bad deal. In particular,

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Speaker 1: the big GOP win here is they forced Biden to

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Speaker 1: agree to flat nominal discretionary spending for one year and

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Speaker 1: then a one percent nominal increase the year after that,

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Speaker 1: which is a significant cut in inflation adjusted per capita

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Speaker 1: or GDP terms.

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Speaker 3: But and this is the key point.

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Speaker 1: That's something Republicans could and would have gotten through the

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Speaker 1: normal appropriations process anyway. He goes on to say, by

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Speaker 1: giving Republicans a policy win in this way rather than

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Speaker 1: through the normal appropriations that's the budgeting process, Biden has

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Speaker 1: validated the debt sealing hostage tactic that meaningfully increases the

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Speaker 1: odds of a future substantive disaster either in terms of

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Speaker 1: policy concessions or a breach. So overall, as I look

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Speaker 1: at this, first of all, it's sort of enraging that

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Speaker 1: we have this whole like potential global crisis catastrophe, which

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Speaker 1: by the way, has already had real economic impact and

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Speaker 1: probably increased our government's borrowing costs and injected all of

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Speaker 1: this uncertainty and chaos and disaster, et cetera for something

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Speaker 1: they could have gotten through normally made. And so I

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Speaker 1: certainly blame the Republicans for using these tactics, which I

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Speaker 1: think are disgraceful and should be out of bounds. And

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Speaker 1: I certainly blame the Biden administration for giving into these tactics.

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Speaker 1: And I think Aglaysias is exactly right here that, Okay,

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Speaker 1: if you ignore everything else, you'd be like, it's not

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Speaker 1: it could be a lot worse. It could you know,

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Speaker 1: could have been much steeper cuts that hurt a lot

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Speaker 1: more people and also did harm.

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Speaker 3: To the economy.

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Speaker 1: But what you're doing is validating this tactic. So you

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Speaker 1: can bet two years down the line they're going to

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Speaker 1: do the same thing all over again.

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Speaker 2: Yeah, and right, so two years from now, you know,

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Speaker 2: we'll see what happens. But I know on on its face,

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Speaker 2: for the quote unquote merits of the deal will save

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Speaker 2: some more of this analysis. But this is a huge

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Speaker 2: law for Kevin McCarthy and for maybe not Kevin McCarthy,

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Speaker 2: is a massive loss for the Freedom Caucus members of

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Speaker 2: which they are making it known, and on its face,

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Speaker 2: like for Joe Biden, this is I think this would

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Speaker 2: be a victory for him because he can both look.

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Speaker 2: I think we both also know that there is a

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Speaker 2: fetishization of like bipartisanship or a lot of voters for

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Speaker 2: some reason, they think it's a very good thing. It

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Speaker 2: can be, it can't be, depends on how we talk

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Speaker 2: about it. On the detail. It's all about the nuance, right,

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Speaker 2: So bipartisan rail safety good, bipartisan like bipartisan feigning concern

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Speaker 2: about the deficit while you increase military spending in at Ukraine. Yeah,

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Speaker 2: maybe I'm just going to go ahead and say that's

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Speaker 2: bad and that's what's happened here. But you know, Biden

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Speaker 2: gets the rhetorical win of inegotiated. He didn't really give

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Speaker 2: away the store. There are not really meaningful cuts. If

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Speaker 2: you are a genuine economic libertarian type, this is ludicrous.

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Speaker 2: You know, if you're looking at this if you're somebody

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Speaker 2: who cares about the debt. Even on the IRS piece,

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Speaker 2: which was a huge thing, they are only able to

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Speaker 2: claw back apparently some twenty billion or so of the

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Speaker 2: forty billion, and that twenty what they're going to do

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Speaker 2: is they're just going to defer the spending cuts in

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Speaker 2: the future, so they'll still be fully funded for a

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Speaker 2: shorter period of time. It actually won't meaningfully change IRS

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Speaker 2: enforcement at all. This is another thing I was getting

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Speaker 2: so annoyed by, because they are correct in saying that

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Speaker 2: the IRS disproportionally targets, you know, people were poor. I've

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Speaker 2: done the entire monologues about this. What I've always advocated

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Speaker 2: for is that there's actually a simple change in the

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Speaker 2: law you can make, which is say, don't use this

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Speaker 2: funding go below anybody over one million dollars or so.

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Speaker 2: And of course, you know they never want to insert

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Speaker 2: these pros, so the entire thing is just ridiculous to me.

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Speaker 2: What makes it especially offensive is that they are not

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Speaker 2: only increasing military spending, but specifically trying to increase some

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Speaker 2: of the backwards a to Ukraine, not the in terms

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Speaker 2: of refilling stockpiles and helping with the depreciation costs, and

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Speaker 2: they're hiding all these other nonsense provisions in there, which

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Speaker 2: are basically just box checks for things that they say

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Speaker 2: that they're against on paper, like the irs, and they

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Speaker 2: didn't even do that. So overall the deal itself, it's

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Speaker 2: not going to change much. I mean, you know, I

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Speaker 2: guess it's good for everybody's stock for four oh one ks. Now,

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Speaker 2: this is all presumes if it passes, right, because that

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Speaker 2: is actually kind of up in the air right now.

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Speaker 2: I mean, christ, we haven't yet received word from the

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Speaker 2: Progressive Caucus to whether they're going to vote for it

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Speaker 2: or not. If they do, this deal might almost get

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Speaker 2: one hundred percent Democratic support or somewhere near that, and

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Speaker 2: then you don't actually even need that many Republicans to

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Speaker 2: support it. Although McCarthy has said I will not bring

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Speaker 2: the floor, I will not bring the bill to the

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Speaker 2: floor without a majority of the support. Although that's only

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Speaker 2: what you know, one hundred or so members out of

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Speaker 2: the two I forget the exact number of there. It's

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Speaker 2: really not that many people when you consider how many

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Speaker 2: defections he could have, which would then be a huge

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Speaker 2: internal blow to him for his speakership.

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Speaker 3: That's right.

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Speaker 1: So the reason that he is going to commit to

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Speaker 1: and has already committed to we have to have a

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Speaker 1: majority of the Republican caucus behind this is because his

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Speaker 1: ass would be on the line. And you'll recall, as

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Speaker 1: part of the deal that he brokeered in order to

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Speaker 1: become Speaker, he made it a lot easier for them

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Speaker 1: to toss him out as Speaker of the House. So

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Speaker 1: that's in the back of his mind. And you already

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Speaker 1: have a lot of House Freedom Caucus members who are

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Speaker 1: you know, they're not being subtle about this. I mean,

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Speaker 1: they hate this deal, railing against it on Twitter. You

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Speaker 1: can bet there's going to be a lot of conservative

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Speaker 1: media that is very against the deal. There's a lot

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Speaker 1: of incentive to posture as being against this deal in

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Speaker 1: terms of support from the grossroots space. So he's in

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Speaker 1: a bit of a tricky position, and I'm not sure

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Speaker 1: that he made things easier for himself by saying some

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Speaker 1: like relatively nice things about Joe Biden. We may like

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Speaker 1: appreciate that level of civility, but there are plenty of

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Speaker 1: people within his caucus who will not appreciate that level

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Speaker 1: of civility. Let's take us in a little bit of

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Speaker 1: what Speaker McCarthy had to.

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Speaker 7: Say, the President said he would negotiate with us for

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Speaker 7: ninety seven days. He wouldn't even allow us to talk.

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Speaker 7: After we passed a bill, we were able to get in,

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Speaker 7: but it wasn't until the final two weeks that would

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Speaker 7: we really be able to sit down and communicate with

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Speaker 7: one another. I do want to thank the President's team

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Speaker 7: that he put together, very professional, very smart, very strong

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Speaker 7: beliefs that are different than ours, and I think at

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Speaker 7: the end of the day can look together to be

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Speaker 7: able to pass this in the House and the Senate together.

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Speaker 1: So very professional, very smart, is what McCarthy had to

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Speaker 1: say about the Biden team. Let's go and put up

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Speaker 1: the next piece, though, of some of the House Freedom

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Speaker 1: Caucus reaction, which is a little bit different tone from

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Speaker 1: what we're hearing from House Speaker McCarthy. There, this is

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Speaker 1: just some These are some of the sort of selected

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Speaker 1: key players and the way they're reacting to it. You've

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Speaker 1: got Ralph Norman saying this quote deal is insanity. A

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Speaker 1: four trillion dollars debt dealing increase with virtually no cuts

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Speaker 1: is not what we agreed to. Not going to vote

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Speaker 1: to bankrupt our country. The American people deserve better. You've

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Speaker 1: got Congressman Bob good saying, I'm hearing the quote deal.

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Speaker 1: They all put deal in quotations marks for some reason,

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Speaker 1: is for a four trillion dollar increase in the debt limit.

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Speaker 1: If that is true, I don't need to hear anything else.

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Speaker 1: No one claiming to be conservative could justify a yes vote.

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Speaker 3: You've got chip Roy.

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Speaker 1: I do not like the quote deal as I understand

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Speaker 1: it from the cheerleading so far. I will more to

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Speaker 1: follow once I see more details. You've got Dan Bishop

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Speaker 1: of the eighty billion dollar dollars Democrats appropriate to the

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Speaker 1: irs over ten years. The quote deal ver sins one

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Speaker 1: point nine billion. You read that right, That's the kind

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Speaker 1: of get.

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Speaker 3: That's so good.

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Speaker 1: McCarthy agreed to increase the debt ceiling for trillion dollars.

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Speaker 1: I saw Lauren Bober. There were others who were also

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Speaker 1: being highly critical, and Sager chip Roy is a key

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Speaker 1: player here, because you know, some of this is so arcane.

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Speaker 1: But one of the parts of the deal that McCarthy

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Speaker 1: also made to secure his speakership was stacking the Rules

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Speaker 1: Committee with some of these hardline House Freedom Caucus members,

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Speaker 1: chip Roy being one of them. This thing has to

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Speaker 1: get through that committee in order to for it even

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Speaker 1: to get to the floor for a vote. It's looking

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Speaker 1: right now like the swing vote on that. So it's

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Speaker 1: six Republicans four Democrats on there. Usually in recent political history,

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Speaker 1: the opposing party on this committee never votes for whatever

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Speaker 1: the party in power wants.

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Speaker 3: Like never, that just doesn't happen.

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Speaker 2: So the four.

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Speaker 1: Democrats are assumed to be a know although they could

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Speaker 1: in theory crossover and vote for the thing. You've already

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Speaker 1: got a number of Republicans who are on the committee

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Speaker 1: who are on the record saying no, I'm not voting

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Speaker 1: for it.

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Speaker 3: And so Thomas Massey, who's.

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Speaker 1: This sort of like quirky libertarian type out of Kentucky,

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Speaker 1: may end up being the swing vote now ideologically on spending.

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Speaker 1: At least, he tends to be more aligned with the

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Speaker 1: House Freedom Caucus. But he also has been turned into

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Speaker 1: somewhat of an ally of McCarthy. He was with him

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Speaker 1: from the beginning in terms of the speakership. So there's

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Speaker 1: a lot of dicey dynamics at play here. Still, I

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Speaker 1: think the problems are more on the Republican side. We've

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Speaker 1: heard a lot more vocal opposition to the deal on

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Speaker 1: the Republican side than on the Democratic side.

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Speaker 3: But I guess you never.

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Speaker 2: Know, yeah exactly. I mean, look, in terms of whether

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Speaker 2: it will pass or not, I genuinely have no idea.

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Speaker 2: As people have pointed out the Rules Committee, it's very possible,

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Speaker 2: given the gravity of its circumstances on the debt ceiling,

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Speaker 2: that the Dems might actually vote, and then that you

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Speaker 2: wouldn't even need many of the Republican votes it could

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Speaker 2: effect you could have some defections. The other question is

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Speaker 2: also even if it does get through the House up

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Speaker 2: against a deadline of June fifth, and it's going to

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Speaker 2: take a couple of days, we're not going to have

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Speaker 2: a vote here on this thing until Wednesday. Then it's

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Speaker 2: going to immediately make its way over to the Senate. Now,

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Speaker 2: people shouldn't remember that the easiest way to get something

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Speaker 2: through the Senate is something called unanimous consent, where they

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Speaker 2: waive the thirty hours of debate rule on the floor.

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Speaker 2: Senator Mike Lee, who is also a libertarian, has come

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Speaker 2: out and said that he wants to do everything possible

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Speaker 2: if he doesn't like the deal to slow it down

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Speaker 2: on the floor, so all you need is a single

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Speaker 2: Senator or Ran Paul for that matter, to object to that,

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Speaker 2: and then you're immediately triggering that debate and the amended process, etc.

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Speaker 2: And who knows how much longer that could take. So

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Speaker 2: we could even be up against a technical default even

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Speaker 2: if it does get through both of those chambers. That said,

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Speaker 2: Senator McConnell came out with a statement last night and said,

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Speaker 2: I support the bill. Le's immediately pass this thing. So

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Speaker 2: I don't think it will meaningfully have any problems, but

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Speaker 2: there will be some fun intra like intra chamber games

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Speaker 2: about committees and objections and all of this stuff as

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Speaker 2: to how exactly it makes its way through. But I

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Speaker 2: do think the biggest the biggest thing that's up in

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Speaker 2: the air right now is will there be a GOP revolt?

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Speaker 2: Another question is what about Trump? You know, Trump is

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Speaker 2: not an idiot. He's going to be reading Lauren Bobert's tweets,

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Speaker 2: He's going to be reading all of these. He's said

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Speaker 2: before that Republicans shouldn't give in unless they get every

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Speaker 2: single thing that they want. There's no no world where

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Speaker 2: McCarthy could spend this as this is everything that I

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Speaker 2: got his talking points which you have in front of

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Speaker 2: you are are the stupidest thing you can imagine.

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Speaker 1: This is okay, So Sahil Kapor got his hand on

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Speaker 1: the GOP talking points that they're using to sell to

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Speaker 1: their own members.

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Speaker 3: Put this up on the screen.

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Speaker 1: First of all, they're calling the Fiscal Responsibility Act a

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Speaker 1: little bit of branding there. He says, Republicans will restore

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Speaker 1: fiscal sanity and hold Washington accountable. Number one a stop

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Speaker 1: out of control inflationary spending. Now, they mentioned cut spending

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Speaker 1: year over year, including a rollback of non defense discretionary

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Speaker 1: spending because God forbid, we cut the Pentagon to twenty

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Speaker 1: two to twenty twenty two levels fully fun via medical limit,

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Speaker 1: top line federal spending to one percent annual growth for

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Speaker 1: the next six years. Now that's not actually even accurate

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Speaker 1: because the deal is only for two years. But there's

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Speaker 1: like a theoretical like, yeah, maybe we'll do it for

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Speaker 1: a while longer after this, but none of that is binding.

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Speaker 1: So even the six year part of this, which is

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Speaker 1: what the Republicans wanted and not what the Democratic Democrats wanted,

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Speaker 1: is really spin in propaganda.

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Speaker 3: Number two, lift more.

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Speaker 1: Americans dount of poverty, that's about the work requirements on

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Speaker 1: SNAP and on welfare, clawback tens of billions and unspent

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Speaker 1: COVID funds. Okay, fine, nobody really objected to that, all

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Speaker 1: that much rain in executive overreach, and act into law

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Speaker 1: the first ever statutory and administrative pay go to hold

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Speaker 1: President Biden accountable for the full cost of executive rules

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Speaker 1: and regulations. Cut red tape and streamline energy and infrastructure projects.

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Speaker 1: That's that permitting reform, which we still don't have a

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Speaker 1: lot of details on. Slash funding for Biden's new IRS agents.

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Speaker 1: It's relatively modest. Cut there. Restart student loan repayments while

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Speaker 1: they were planning to restart them anyway, Make Congress work again,

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Speaker 1: compel a functioning appropriations process by imposing a temporary ninety

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Speaker 1: nine percent seur level cap until all twelve appropriations bills

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Speaker 1: are enacted. So they're requiring all twelve to go through

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Speaker 1: the House. Protect our senior's veterans in Americans national security.

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Speaker 1: That's the hike to the Pentagon budget, and block Biden

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Speaker 1: and Congressional Democrats demands for new taxes. That was where

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Speaker 1: they were like, no, we don't want to close the

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Speaker 1: carried interest loophole or you know, tax corporations or the

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Speaker 1: wealthy eddy more than we already do.

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Speaker 3: So they're claiming that as a win.

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Speaker 1: I don't know that I would claim that as a win,

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Speaker 1: especially because obviously that doesn't that goes against their aims

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Speaker 1: of reducing the deficit and the debt. So that's the

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Speaker 1: way they're selling it. And I mean, it's free week

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Speaker 1: t in terms of what the demands of the House

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Speaker 1: random Caucus were.

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Speaker 2: Look ye on like on any objective metric, and the

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Speaker 2: Democrats are silently saying this, we won the House. Republicans

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Speaker 2: completely folded. I think ultimately what happened here is that

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Speaker 2: it came down to the wire because the Democrats, the

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Speaker 2: White House and all of them did have a decent

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Speaker 2: amount of leverage as well. They were saying, no, we're

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Speaker 2: not going to fold on this. We're not going to

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Speaker 2: fold on this. And the business community, as you and

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Speaker 2: I know, has been freaking out behind the scenes. And

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Speaker 2: I bet you know, we're willing to.

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Speaker 3: Bet McCarthy's close with him.

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Speaker 2: Exactly, and look, yeah, he is raising money from all

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Speaker 2: these billionaires. And if you don't think Jamie Diamond and

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Speaker 2: all these other folks don't have his cell phone. They're like,

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Speaker 2: you need to get this done. You need to get

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Speaker 2: your people in line. And then it just came a

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Speaker 2: question of well, who's the smallest minority here. It's the

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Speaker 2: Freedom Caucus. And if you have enough Democrats who are

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Speaker 2: willing to go along and pass the bill, if he

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Speaker 2: can have defections of thirty, forty, even fifty votes get

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Speaker 2: this thing through, he will be a hero to the

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Speaker 2: business community for all time forgetting this through, which for

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Speaker 2: a lot of these guys, that's what they want, right,

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Speaker 2: you know, Well.

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Speaker 1: Like he secures his most congressional you know, opportunity career

438
00:19:43,720 --> 00:19:46,960
Speaker 1: opportunities working as a lobbyist for these people, or on

439
00:19:47,040 --> 00:19:49,399
Speaker 1: serving on boards or whatever, cashing in whatever way that

440
00:19:49,440 --> 00:19:51,240
Speaker 1: he wants too, similar to what Paul Ryan did after

441
00:19:51,280 --> 00:19:53,639
Speaker 1: he left there go the House as well. I do

442
00:19:53,720 --> 00:19:56,040
Speaker 1: think the Trump factor kind of looms over this, you know,

443
00:19:56,119 --> 00:19:58,000
Speaker 1: does he say anything, does he weigh in? I think

444
00:19:58,000 --> 00:19:59,760
Speaker 1: if he weighs in, he will weigh in against the deal.

445
00:19:59,800 --> 00:20:03,119
Speaker 1: Don It's very likely because that's where the energy on

446
00:20:03,160 --> 00:20:04,679
Speaker 1: the base is going to be. That's where the energy

447
00:20:04,680 --> 00:20:06,960
Speaker 1: and conservative media is going to be. And so the

448
00:20:07,080 --> 00:20:10,200
Speaker 1: question is just you don't have a lot of Republicans

449
00:20:10,600 --> 00:20:14,359
Speaker 1: who are in those districts that are truly swing districts

450
00:20:14,359 --> 00:20:16,639
Speaker 1: that Joe Biden maybe even one or at least that

451
00:20:16,680 --> 00:20:19,960
Speaker 1: were really close, that are particularly worried about their general

452
00:20:20,040 --> 00:20:24,880
Speaker 1: election prospects coming up in twenty twenty four. The overwhelming

453
00:20:24,880 --> 00:20:27,240
Speaker 1: majority of the GOP caucus, they're going to be looking

454
00:20:27,240 --> 00:20:29,680
Speaker 1: at their right worried about is this going to sink

455
00:20:29,760 --> 00:20:32,800
Speaker 1: my chances in a primary? Is this going to become

456
00:20:32,920 --> 00:20:35,919
Speaker 1: some sort of like litmus test that is used in

457
00:20:36,000 --> 00:20:39,679
Speaker 1: some sort of Tea party esque fashion to kick me

458
00:20:39,760 --> 00:20:43,720
Speaker 1: out through the GOP primary process. If they start to

459
00:20:43,800 --> 00:20:46,119
Speaker 1: feel like there's a lot of momentum and there's a

460
00:20:46,160 --> 00:20:48,639
Speaker 1: lot of anger against the deal, and conservative media is

461
00:20:48,640 --> 00:20:52,240
Speaker 1: all unified, and of course the learned Boberts and those

462
00:20:52,320 --> 00:20:55,720
Speaker 1: folks are going to be incredibly vocal about their opposition

463
00:20:55,760 --> 00:20:58,800
Speaker 1: to this deal, that's when you could see things start

464
00:20:58,880 --> 00:21:01,280
Speaker 1: to crumble and you're left with things like, you know,

465
00:21:01,320 --> 00:21:04,320
Speaker 1: you could still theoretically have a discharge petition where all

466
00:21:04,400 --> 00:21:08,240
Speaker 1: the Democrats vote for something and you get those five ten. However,

467
00:21:08,320 --> 00:21:11,760
Speaker 1: many actually more moderate Republican members that represent these swing

468
00:21:11,800 --> 00:21:13,720
Speaker 1: districts to join with them. So even if it all

469
00:21:13,720 --> 00:21:16,679
Speaker 1: fell apart, it doesn't necessarily mean the thing is dead

470
00:21:16,680 --> 00:21:17,040
Speaker 1: in the water.

471
00:21:17,119 --> 00:21:18,640
Speaker 3: But that also takes a lot of time.

472
00:21:19,040 --> 00:21:25,400
Speaker 1: So it's looking like they're between the likely strong support

473
00:21:25,440 --> 00:21:29,280
Speaker 1: from the Democratic Caucus and some support from the GUP Caucus.

474
00:21:29,320 --> 00:21:31,200
Speaker 1: It's looking like they're going to be able to push

475
00:21:31,200 --> 00:21:33,439
Speaker 1: this thing through, but there are still a lot of

476
00:21:33,520 --> 00:21:36,600
Speaker 1: roadblocks and you know, a lot of possibilities that it

477
00:21:36,640 --> 00:21:38,080
Speaker 1: could come apart in the next couple days.

478
00:21:38,160 --> 00:21:40,560
Speaker 2: Keep everybody updated on what the updates and all that

479
00:21:40,600 --> 00:21:43,720
Speaker 2: will be. Remember about the seventy two hour period where

480
00:21:43,760 --> 00:21:47,040
Speaker 2: they do have seventy two hours now to actually review

481
00:21:47,160 --> 00:21:49,719
Speaker 2: and to read it. So watch the twitter feeds of

482
00:21:49,760 --> 00:21:51,440
Speaker 2: some of the Freedom Caucus members. One of them is

483
00:21:51,520 --> 00:21:53,520
Speaker 2: Dan Bishop. I think he likes to live tweet what

484
00:21:53,560 --> 00:21:55,520
Speaker 2: he finds in the bills. It actually can be really

485
00:21:55,600 --> 00:21:57,920
Speaker 2: quite informative. Yeah, so I recommend his twitter feed. I

486
00:21:58,400 --> 00:22:03,520
Speaker 2: will be checking appreciate that as well. All right, let's

487
00:22:03,520 --> 00:22:06,880
Speaker 2: speaking of Trump and some possible contrast. Let's get to

488
00:22:07,040 --> 00:22:09,800
Speaker 2: the next part here. Ron DeSantis, of which I now

489
00:22:09,840 --> 00:22:12,679
Speaker 2: have more respect for because he actually came out and

490
00:22:12,800 --> 00:22:16,200
Speaker 2: is the first candidate declared so far not to talk

491
00:22:16,280 --> 00:22:18,840
Speaker 2: in such mealy mouthed terms, although still just a little

492
00:22:18,880 --> 00:22:23,280
Speaker 2: bit and actually take a shot at Trump defend himself

493
00:22:23,440 --> 00:22:25,879
Speaker 2: from the accusations that have been hurled his way. In

494
00:22:25,960 --> 00:22:28,119
Speaker 2: an interview on The Ben Shapiro Show, here's what he

495
00:22:28,160 --> 00:22:28,680
Speaker 2: had to say.

496
00:22:28,840 --> 00:22:31,680
Speaker 8: So, how do you see a difference between your candidacy,

497
00:22:31,720 --> 00:22:34,000
Speaker 8: what you've been trying to do, your record in President Trump?

498
00:22:35,119 --> 00:22:38,080
Speaker 9: Well, I think it's interesting because he's been attacking me

499
00:22:39,040 --> 00:22:42,040
Speaker 9: by moving left. So this is a different guy than

500
00:22:42,080 --> 00:22:46,080
Speaker 9: twenty fifteen. Twenty sixteen. He attacked me for opposing an

501
00:22:46,119 --> 00:22:50,160
Speaker 9: amnesty bill in the Congress. He did support this amnesty,

502
00:22:50,200 --> 00:22:53,200
Speaker 9: this good lat too, two million illegal aliens. He wanted

503
00:22:53,200 --> 00:22:56,680
Speaker 9: to amnesty. I opposed it because that's what America First

504
00:22:56,760 --> 00:23:00,840
Speaker 9: principles dictate that you're opposed to amnesty. Both based COVID

505
00:23:00,920 --> 00:23:03,960
Speaker 9: nineteen and we both responded in the way we did.

506
00:23:04,560 --> 00:23:09,159
Speaker 9: He responded by elevating Anthony Fauci and really turning the

507
00:23:09,200 --> 00:23:12,720
Speaker 9: reins over to doctor Fauci, and I think too terrible

508
00:23:12,760 --> 00:23:16,439
Speaker 9: consequences for the United States. I was the leader in

509
00:23:16,480 --> 00:23:20,320
Speaker 9: this country and fighting back against Fauci. We bucked him

510
00:23:20,320 --> 00:23:22,919
Speaker 9: every step of the way starting in April of twenty twenty,

511
00:23:23,119 --> 00:23:26,440
Speaker 9: whether it's the schools, the businesses, the mandates, and our

512
00:23:26,480 --> 00:23:29,040
Speaker 9: state has never done better as a result. I mean,

513
00:23:29,080 --> 00:23:32,240
Speaker 9: I think the fact that Donald Trump gave Anthony Fauci

514
00:23:32,400 --> 00:23:35,760
Speaker 9: a presidential commendation on Trump's last day in office, that

515
00:23:35,880 --> 00:23:38,320
Speaker 9: was a gut punch to millions of people around this

516
00:23:38,440 --> 00:23:42,160
Speaker 9: country who were harmed by Fauci's lockdowns. I said very clearly,

517
00:23:42,440 --> 00:23:45,679
Speaker 9: you know, if I'm president somebody like Fauci is in

518
00:23:45,760 --> 00:23:48,240
Speaker 9: the government, I will bring them in and I will

519
00:23:48,280 --> 00:23:51,280
Speaker 9: tell them two things. You are fired.

520
00:23:51,560 --> 00:23:53,600
Speaker 2: So I mean, look, Christal, I have to at least

521
00:23:53,640 --> 00:23:56,199
Speaker 2: respect him for prosecuting a case against Trump's literally the

522
00:23:56,240 --> 00:23:58,920
Speaker 2: first person to do so. Now, well, I think it worked.

523
00:23:58,960 --> 00:24:01,520
Speaker 2: We'll see the first part on the amnesty. I think

524
00:24:01,560 --> 00:24:04,320
Speaker 2: it's very interesting rhetorically where he's talking about how Trump

525
00:24:04,560 --> 00:24:08,119
Speaker 2: is attacking him from the left. Obviously, immigration probably the

526
00:24:08,240 --> 00:24:11,399
Speaker 2: number one reason why Trump was the nominee in twenty sixteen,

527
00:24:11,560 --> 00:24:14,360
Speaker 2: an issue that matters tremendously to the base. The problem

528
00:24:14,400 --> 00:24:18,800
Speaker 2: I see for DeSantis is, well, rhetorically, you know, sorry,

529
00:24:18,840 --> 00:24:22,200
Speaker 2: on policy, you may be right. Rhetorically, can you really

530
00:24:22,240 --> 00:24:25,560
Speaker 2: outdo the Donald whenever it comes to the guy who

531
00:24:25,600 --> 00:24:28,120
Speaker 2: literally created the wall, or at.

532
00:24:28,040 --> 00:24:30,359
Speaker 3: The very least, sure my presumer good people.

533
00:24:30,600 --> 00:24:32,600
Speaker 2: It's gonna be tough, I think, to be able to

534
00:24:33,080 --> 00:24:35,040
Speaker 2: come out against him and to convince people that you're

535
00:24:35,240 --> 00:24:37,399
Speaker 2: the real deal, although if it were to work, this

536
00:24:37,520 --> 00:24:39,920
Speaker 2: is probably the only way. The Faucci thing, I also

537
00:24:39,960 --> 00:24:42,400
Speaker 2: think it is interesting. I'm curious for your thoughts. I

538
00:24:42,560 --> 00:24:46,360
Speaker 2: just feel as if running from running backwards, as in

539
00:24:46,440 --> 00:24:49,919
Speaker 2: reltigating COVID policy from three years ago, is not the

540
00:24:49,960 --> 00:24:53,040
Speaker 2: winner that some of these people seem to think. COVID policy,

541
00:24:53,200 --> 00:24:55,280
Speaker 2: lockdowns and all stuff. It matters a lot to a

542
00:24:55,280 --> 00:24:57,439
Speaker 2: lot of people on the Internet, and it also matters

543
00:24:57,480 --> 00:25:01,440
Speaker 2: a lot to people who are very very online when

544
00:25:01,840 --> 00:25:05,159
Speaker 2: at least in my experience, but normal voters who I

545
00:25:05,200 --> 00:25:08,760
Speaker 2: have seen out, especially interviews as well, whenever they talk

546
00:25:08,760 --> 00:25:11,359
Speaker 2: about DeSantis and Trump, not one of them mentions COVID.

547
00:25:11,640 --> 00:25:13,760
Speaker 2: They say, I like that he doesn't have the drama.

548
00:25:13,880 --> 00:25:17,400
Speaker 2: I like that he kept Florida, or he's made Florida nice. Yeah,

549
00:25:17,440 --> 00:25:19,520
Speaker 2: some of that has to do with COVID, but focusing

550
00:25:19,520 --> 00:25:21,879
Speaker 2: on the COVID piece just seems a little out of

551
00:25:21,880 --> 00:25:23,560
Speaker 2: step where I think some people were going to vote

552
00:25:23,560 --> 00:25:24,040
Speaker 2: for him anyway.

553
00:25:24,080 --> 00:25:26,160
Speaker 3: I mean, we've seen the numbers, like people don't care.

554
00:25:26,280 --> 00:25:30,360
Speaker 1: People have moved on and understandably so we're all moving forward, right.

555
00:25:30,440 --> 00:25:34,800
Speaker 3: So I think in a sort of like rational.

556
00:25:34,640 --> 00:25:38,600
Speaker 1: Sane world, I think some of these attacks may land,

557
00:25:39,200 --> 00:25:41,840
Speaker 1: But I just see no evidence that the GOP base

558
00:25:41,960 --> 00:25:47,920
Speaker 1: is actually that ideological. And Desanta's made this comment in

559
00:25:47,960 --> 00:25:50,040
Speaker 1: that attack where he's like, you know, this is different

560
00:25:50,080 --> 00:25:53,120
Speaker 1: than Trump in twenty fifteen, twenty sixteen, is it because

561
00:25:53,600 --> 00:25:56,360
Speaker 1: they tried the same line of attack against Trump back then,

562
00:25:56,480 --> 00:25:58,240
Speaker 1: Ty Cruz in particular, it was like.

563
00:25:58,520 --> 00:26:02,280
Speaker 3: He's not a real concern. We're further to the right here.

564
00:26:02,320 --> 00:26:05,240
Speaker 1: You know, he was a Democrat, he was he supported

565
00:26:05,240 --> 00:26:06,320
Speaker 1: a planned parenthood.

566
00:26:06,359 --> 00:26:06,760
Speaker 3: He's not.

567
00:26:07,280 --> 00:26:09,359
Speaker 1: They were trying to attack him from the right and

568
00:26:09,400 --> 00:26:12,280
Speaker 1: say we're the true conservatives and he is this rhino

569
00:26:12,440 --> 00:26:15,520
Speaker 1: and it just didn't work at all. So I do

570
00:26:15,640 --> 00:26:19,719
Speaker 1: remember this does feel like almost another dejent vous moment

571
00:26:20,160 --> 00:26:23,320
Speaker 1: of the type of attacks that they launched him last

572
00:26:23,320 --> 00:26:26,680
Speaker 1: time around, which ultimately fell flat. Now I agree with you,

573
00:26:26,760 --> 00:26:29,480
Speaker 1: like respect to him for at least trying because this

574
00:26:29,600 --> 00:26:32,320
Speaker 1: is at least a lot less humiliating than like Nikki.

575
00:26:32,080 --> 00:26:33,960
Speaker 3: Haley, I'm not kicking sideways, or.

576
00:26:33,920 --> 00:26:36,720
Speaker 1: Even Tim Scott who's like, I love Trump, his his

577
00:26:36,800 --> 00:26:39,159
Speaker 1: time in office was fantastic and it's like, okay, well

578
00:26:39,160 --> 00:26:41,200
Speaker 1: why are you running against him? Then that doesn't make

579
00:26:41,200 --> 00:26:45,280
Speaker 1: any sense, or certainly Mike Pence, who's just humiliating that,

580
00:26:45,600 --> 00:26:47,560
Speaker 1: you know, because of Trump, people were running around the

581
00:26:47,600 --> 00:26:49,720
Speaker 1: capitols running to hang him and he can't even come

582
00:26:49,760 --> 00:26:52,560
Speaker 1: out strongly against him even now after all of that.

583
00:26:53,080 --> 00:26:55,720
Speaker 1: So it's a much less humiliating approach, and you know,

584
00:26:55,840 --> 00:26:57,520
Speaker 1: to be honest with you, I also don't think that

585
00:26:57,640 --> 00:27:01,400
Speaker 1: he's going to pay a huge price for going after

586
00:27:01,440 --> 00:27:05,440
Speaker 1: Trump in this way because it is very policy based.

587
00:27:05,960 --> 00:27:08,119
Speaker 1: Do I think that it's gonna be sufficient?

588
00:27:08,320 --> 00:27:08,399
Speaker 7: No.

589
00:27:08,680 --> 00:27:11,200
Speaker 1: And this gets back to like, you know, we were

590
00:27:11,240 --> 00:27:13,280
Speaker 1: being hard on DeSantis about you gotta hit him, and

591
00:27:13,320 --> 00:27:14,879
Speaker 1: you gotta do this, and you gotta do that, and

592
00:27:15,000 --> 00:27:16,640
Speaker 1: I just look at the landscape and I'm like, I'm

593
00:27:16,680 --> 00:27:19,119
Speaker 1: just not really sure there's anything you alone can do

594
00:27:19,520 --> 00:27:23,440
Speaker 1: yes to knock this guy off. So it's a solid attempt.

595
00:27:23,520 --> 00:27:24,720
Speaker 1: Do I think it's really gonna work?

596
00:27:25,000 --> 00:27:28,080
Speaker 2: Probably not. Yeah, it probably won't work. It's great. The

597
00:27:28,119 --> 00:27:30,600
Speaker 2: point that you brought up, Like Ted Cruz and Rubio

598
00:27:30,680 --> 00:27:33,080
Speaker 2: and Jeb tried this. They're like, he's not a conservative.

599
00:27:33,119 --> 00:27:35,080
Speaker 2: He supports social security and he's like, yeah, I supports

600
00:27:35,080 --> 00:27:37,800
Speaker 2: SoCal security. They're like, he supports universal healthcare. He's like, yeah,

601
00:27:37,880 --> 00:27:40,760
Speaker 2: you know, everyone will have healthcare under Maya policy. He's like,

602
00:27:40,800 --> 00:27:43,120
Speaker 2: he not supports free trade. He said, Yep, He's right,

603
00:27:43,160 --> 00:27:45,960
Speaker 2: I don't support free trade. In many ways, Trump's moderation

604
00:27:46,080 --> 00:27:48,439
Speaker 2: on policy was a huge net positive to him on

605
00:27:48,480 --> 00:27:51,879
Speaker 2: top of his rhetoric in the twenty sixteen campaign. He

606
00:27:52,000 --> 00:27:54,119
Speaker 2: was extreme on the right issues for the base, and

607
00:27:54,160 --> 00:27:57,120
Speaker 2: then not extreme on the issues that didn't necessarily matter.

608
00:27:57,200 --> 00:27:59,879
Speaker 2: So immigration, though, this is a I think a good attempt,

609
00:27:59,880 --> 00:28:02,760
Speaker 2: and as you go to at least respect somebody who's

610
00:28:02,800 --> 00:28:04,800
Speaker 2: going to fight in the primary. Now, will we be

611
00:28:04,800 --> 00:28:06,280
Speaker 2: able to do that to his face? Is he going

612
00:28:06,320 --> 00:28:08,359
Speaker 2: to continue to keep it up? How we will respond

613
00:28:08,359 --> 00:28:10,760
Speaker 2: to the poll numbers? That is the ultimate question. But

614
00:28:10,920 --> 00:28:13,240
Speaker 2: one part that really stock out to us is actually

615
00:28:13,280 --> 00:28:18,439
Speaker 2: where DeSantis again correctly hits Trump on mail in voting.

616
00:28:18,440 --> 00:28:21,240
Speaker 2: And this was a fascinating part of this interview. It

617
00:28:21,240 --> 00:28:23,240
Speaker 2: hasn't taken as much notice. Let's take a listen.

618
00:28:23,400 --> 00:28:25,000
Speaker 8: Can you talk about your sort of on the ground

619
00:28:25,000 --> 00:28:27,520
Speaker 8: strategy and how that would be different from what President

620
00:28:27,560 --> 00:28:29,639
Speaker 8: Trump did in twenty twenty running against the Democrats.

621
00:28:29,720 --> 00:28:32,240
Speaker 9: I think telling people not to send in a mail

622
00:28:32,280 --> 00:28:35,480
Speaker 9: ballot is a huge mistake, and it ends up reducing

623
00:28:35,520 --> 00:28:37,840
Speaker 9: the pool of prospective voters.

624
00:28:37,840 --> 00:28:38,320
Speaker 3: In Florida.

625
00:28:38,400 --> 00:28:41,240
Speaker 9: We focused on some of these low propensity voters in

626
00:28:41,240 --> 00:28:44,040
Speaker 9: my reelection. They usually vote in presidential they don't always

627
00:28:44,080 --> 00:28:46,440
Speaker 9: vote in midterm, and we converted a lot of them

628
00:28:46,440 --> 00:28:49,640
Speaker 9: to vote. Most of them chose to vote by absentee

629
00:28:49,720 --> 00:28:52,120
Speaker 9: ballot through the mail. That was their choice. If we

630
00:28:52,200 --> 00:28:54,320
Speaker 9: told them you could only vote on election day, some

631
00:28:54,360 --> 00:28:57,560
Speaker 9: of them very well may not have voted. So understand

632
00:28:57,600 --> 00:29:00,680
Speaker 9: the battlefield. It's your responsibility as a can it to

633
00:29:00,800 --> 00:29:01,720
Speaker 9: head off.

634
00:29:01,640 --> 00:29:05,560
Speaker 2: That He's right, It's obvious, he's obviously right. I actually

635
00:29:05,600 --> 00:29:08,080
Speaker 2: loved that he said that. He's the first high profile

636
00:29:08,120 --> 00:29:11,440
Speaker 2: elected Republican to actually say it, because guess what, Trump

637
00:29:11,560 --> 00:29:14,040
Speaker 2: absolutely one hundred percent would have won if he had

638
00:29:14,040 --> 00:29:16,120
Speaker 2: just encouraged mail and voting. That's the funniest thing, you,

639
00:29:16,440 --> 00:29:18,960
Speaker 2: It's the most patriotic way to vote. It's the magaway

640
00:29:19,240 --> 00:29:21,680
Speaker 2: And guess what he would have won Georgia. He absolutely,

641
00:29:21,720 --> 00:29:23,840
Speaker 2: in my opinion, would have won Arizona. And all he

642
00:29:23,880 --> 00:29:25,960
Speaker 2: needed was to flip a single other state and the

643
00:29:26,000 --> 00:29:28,440
Speaker 2: turnout probably would have been even high. Remember, guys, he

644
00:29:28,560 --> 00:29:30,960
Speaker 2: got ten million more votes. He was campaigning against the

645
00:29:30,960 --> 00:29:34,920
Speaker 2: easiest way to vote, like he got ten million more

646
00:29:35,120 --> 00:29:38,120
Speaker 2: when he ran in twenty sixteen. Some what is a

647
00:29:38,160 --> 00:29:40,480
Speaker 2: seventy five million or whatever people came out to vote

648
00:29:40,520 --> 00:29:43,360
Speaker 2: for him. It's just one of those where it's so obvious.

649
00:29:43,400 --> 00:29:45,440
Speaker 2: And the Georgia, if you don't believe me, the Georgia

650
00:29:45,480 --> 00:29:48,720
Speaker 2: Secretary of State has already put out the data where

651
00:29:48,800 --> 00:29:50,720
Speaker 2: if just a number of people voted in the GOP

652
00:29:50,880 --> 00:29:54,560
Speaker 2: primary by mail had done so in the twenty twenty

653
00:29:54,640 --> 00:29:57,680
Speaker 2: election whenever it was Biden v. Trump, Trump wins a

654
00:29:57,720 --> 00:30:01,560
Speaker 2: state he did not lose by all that much. So DeSantis,

655
00:30:01,640 --> 00:30:03,880
Speaker 2: coming on the heels of what I still believe is

656
00:30:03,880 --> 00:30:07,719
Speaker 2: his best strength, I won. I turned this state twenty

657
00:30:07,760 --> 00:30:11,200
Speaker 2: points purple to deep read. I did it because I'm

658
00:30:11,200 --> 00:30:13,360
Speaker 2: a winner. I did it on policy, and I want

659
00:30:13,360 --> 00:30:16,200
Speaker 2: to make America just like what I did down in Florida.

660
00:30:16,280 --> 00:30:19,160
Speaker 2: That's a very compelling message to a certain group of people. Now,

661
00:30:19,240 --> 00:30:23,840
Speaker 2: unfortunately those group are mostly general election voters, not necessarily

662
00:30:23,880 --> 00:30:26,560
Speaker 2: primary voters. But with this I at least have to say,

663
00:30:26,560 --> 00:30:29,400
Speaker 2: once again, respect to the man for at least trying Yeah,

664
00:30:29,760 --> 00:30:30,680
Speaker 2: he's making a good case.

665
00:30:30,720 --> 00:30:32,720
Speaker 1: Well, what's interesting is even Trump has changed his mind

666
00:30:32,720 --> 00:30:35,600
Speaker 1: about mail and voting at Sea Pack. I think it

667
00:30:35,640 --> 00:30:37,920
Speaker 1: was this year he said it's time to change our

668
00:30:38,000 --> 00:30:41,240
Speaker 1: thinking on early and mail in voting. He also touted

669
00:30:41,240 --> 00:30:44,120
Speaker 1: his campaign's plans to encourage quote unquote ballot harvesting, which

670
00:30:44,160 --> 00:30:46,720
Speaker 1: of course had been like you know, derided as practically

671
00:30:46,800 --> 00:30:49,160
Speaker 1: legal even in those in some states it actually is legal.

672
00:30:49,240 --> 00:30:51,960
Speaker 1: By Republicans, he says, we have no choice but to

673
00:30:52,000 --> 00:30:54,600
Speaker 1: be Democrats at their own game. So even Trump at

674
00:30:54,600 --> 00:30:58,040
Speaker 1: this point acknowledges that the mail in voting thing was

675
00:30:58,080 --> 00:31:01,480
Speaker 1: a catastrophe for them certain state of Georgia. We have

676
00:31:01,640 --> 00:31:04,520
Speaker 1: the numbers that if he had just embraced mail and

677
00:31:04,560 --> 00:31:05,320
Speaker 1: voting now he went.

678
00:31:05,440 --> 00:31:05,920
Speaker 2: He wins.

679
00:31:06,520 --> 00:31:07,920
Speaker 3: There's another subtext here.

680
00:31:07,800 --> 00:31:09,880
Speaker 1: Though, which is about, you know, obviously what is a

681
00:31:09,920 --> 00:31:12,400
Speaker 1: hot issue for the Republican base, which is stop the

682
00:31:12,440 --> 00:31:16,160
Speaker 1: steal twenty twenty Was it legitimate or not, And the

683
00:31:16,200 --> 00:31:19,600
Speaker 1: subtext of what Desantas is suggesting here is that it

684
00:31:19,840 --> 00:31:22,400
Speaker 1: was legitimate and the reason you're ass loss is because

685
00:31:22,400 --> 00:31:23,120
Speaker 1: of things like.

686
00:31:23,560 --> 00:31:24,400
Speaker 3: Mail in voting.

687
00:31:24,680 --> 00:31:27,960
Speaker 1: Now this represents, though, another area where you know, to

688
00:31:28,000 --> 00:31:31,680
Speaker 1: this point, Desanta's hasn't really had to be put on

689
00:31:31,760 --> 00:31:35,120
Speaker 1: the spot about what he fully thinks about twenty twenty,

690
00:31:35,480 --> 00:31:37,640
Speaker 1: and it's another issue that hangs out there as a

691
00:31:37,760 --> 00:31:40,360
Speaker 1: very difficult, tricky one for him to navigate because, on

692
00:31:40,400 --> 00:31:43,920
Speaker 1: the one hand, you go full crazy, you're in, your

693
00:31:44,000 --> 00:31:46,600
Speaker 1: electability case is going to fall apart because we saw

694
00:31:46,640 --> 00:31:49,120
Speaker 1: what happened to you know, Mastriano and Carrie Lake and

695
00:31:49,160 --> 00:31:51,080
Speaker 1: these other characters who were all in.

696
00:31:51,040 --> 00:31:51,960
Speaker 3: On stop the steal.

697
00:31:52,320 --> 00:31:54,600
Speaker 1: On the other hand, the overwhelming majority of the Republican

698
00:31:54,600 --> 00:31:56,800
Speaker 1: base still thinks that the twenty twenty election was stolen.

699
00:31:56,920 --> 00:31:58,800
Speaker 1: So this is one of the ones that's going to

700
00:31:58,800 --> 00:32:00,680
Speaker 1: be very tricky to navigate. But yeah, I think the

701
00:32:00,720 --> 00:32:03,520
Speaker 1: subtext of what he's saying there is you lost and

702
00:32:03,600 --> 00:32:05,760
Speaker 1: one of the reasons you lost is because you didn't

703
00:32:05,800 --> 00:32:06,760
Speaker 1: embrace bail in voting.

704
00:32:06,800 --> 00:32:09,480
Speaker 2: Here, it's a Gordian Knott, I really is, I really

705
00:32:09,520 --> 00:32:11,320
Speaker 2: don't know how you get yourself out of it. I

706
00:32:11,400 --> 00:32:13,040
Speaker 2: feel for the man to be honest because it's like

707
00:32:13,080 --> 00:32:15,560
Speaker 2: in any rational way or like this obviously should work.

708
00:32:15,640 --> 00:32:17,360
Speaker 2: But you know we don't. As you said, we don't

709
00:32:17,360 --> 00:32:18,440
Speaker 2: live in a rational world.

710
00:32:18,800 --> 00:32:20,680
Speaker 1: So we'll see that's a good Not living in an

711
00:32:20,680 --> 00:32:22,640
Speaker 1: irrational world is a good pivot to the next start

712
00:32:22,640 --> 00:32:22,760
Speaker 1: of this.

713
00:32:22,920 --> 00:32:25,920
Speaker 2: That's right. And if you think that was nasty. The

714
00:32:26,400 --> 00:32:28,960
Speaker 2: knives are out for each other between the Trump and

715
00:32:29,040 --> 00:32:32,719
Speaker 2: DeSantis folks online, we've been paying quite a bit of attention.

716
00:32:32,800 --> 00:32:35,440
Speaker 2: There was actually this is this is actually everything this

717
00:32:35,600 --> 00:32:38,640
Speaker 2: Newsmax panel where actually somebody we've had on our show before,

718
00:32:38,920 --> 00:32:41,520
Speaker 2: Josh Hammer, was up against a Trumps surrogate and they

719
00:32:41,520 --> 00:32:44,800
Speaker 2: were going at each other on Trump and DeSantis. Here's

720
00:32:44,800 --> 00:32:45,440
Speaker 2: what it looked like.

721
00:32:45,680 --> 00:32:48,680
Speaker 10: DeSantis's botched campaign announcement proves that he and his team

722
00:32:48,720 --> 00:32:50,160
Speaker 10: are not ready for prime time.

723
00:32:50,240 --> 00:32:53,160
Speaker 3: He proposes a national federal sales tax.

724
00:32:53,200 --> 00:32:55,520
Speaker 10: He voted to cut social Security. He has no plan

725
00:32:55,600 --> 00:32:57,880
Speaker 10: to end the war in Ukraine. President Trump cut taxes,

726
00:32:57,880 --> 00:33:00,520
Speaker 10: secure the border, reinvested in our economy. He is the

727
00:33:00,640 --> 00:33:02,440
Speaker 10: day one leader that America needs.

728
00:33:02,600 --> 00:33:02,840
Speaker 4: Josh.

729
00:33:02,960 --> 00:33:05,000
Speaker 3: Just to wrap it up, He's going to Iowa he's

730
00:33:05,000 --> 00:33:05,480
Speaker 3: got time.

731
00:33:06,000 --> 00:33:08,000
Speaker 6: Look, I mean, Carolyn has the talking points, and that's

732
00:33:08,040 --> 00:33:10,480
Speaker 6: cute and everything. But the reality here is that Republican

733
00:33:10,600 --> 00:33:13,520
Speaker 6: primary voters are ready for a winner. They are sick

734
00:33:13,880 --> 00:33:16,640
Speaker 6: of losing. They are sick of relitigating an election from

735
00:33:16,640 --> 00:33:18,120
Speaker 6: two and a half years ago. They are sick of

736
00:33:18,160 --> 00:33:21,000
Speaker 6: Stormy Daniels and all of the crap this country is

737
00:33:21,040 --> 00:33:23,120
Speaker 6: going to tell in a tan basket, it's time to

738
00:33:23,160 --> 00:33:25,560
Speaker 6: put policy on the agenda and to start winning.

739
00:33:25,920 --> 00:33:28,760
Speaker 10: All right, you're reciting your Democrat talking points. My talking

740
00:33:28,800 --> 00:33:30,000
Speaker 10: points are truth and the pulse.

741
00:33:30,040 --> 00:33:32,000
Speaker 3: Prove it.

742
00:33:30,440 --> 00:33:32,920
Speaker 2: I just kidding started.

743
00:33:32,960 --> 00:33:34,520
Speaker 6: I mean, we got a long way to go here

744
00:33:34,600 --> 00:33:37,000
Speaker 6: until the Iowa caucus is in the very beginning of

745
00:33:37,040 --> 00:33:38,040
Speaker 6: twenty twenty four.

746
00:33:38,280 --> 00:33:40,840
Speaker 2: You sound like a Democrat. That's what they'll always hit

747
00:33:40,880 --> 00:33:42,480
Speaker 2: you with that. I've seen it too. They're like, oh,

748
00:33:42,560 --> 00:33:44,800
Speaker 2: he's a new school you're a Democrat. It's like, yeah,

749
00:33:45,320 --> 00:33:46,560
Speaker 2: if that's what qualifies in here.

750
00:33:46,440 --> 00:33:48,400
Speaker 3: An idiot, Yeah, Well that's that's part of.

751
00:33:48,360 --> 00:33:51,720
Speaker 1: The Gurdi and not, as you so abletely, is that

752
00:33:52,320 --> 00:33:55,040
Speaker 1: Republican based voters have been trained to think any attack

753
00:33:55,080 --> 00:33:58,320
Speaker 1: on Trump is a democratic attack. Like anything you say

754
00:33:58,360 --> 00:34:00,920
Speaker 1: about him, doesn't matter if it's from the right, from

755
00:34:01,000 --> 00:34:04,200
Speaker 1: the left, on his car, whatever, especially when you're talking

756
00:34:04,200 --> 00:34:06,840
Speaker 1: about things like he mentioned Stormy Daniels, any of the

757
00:34:06,960 --> 00:34:09,600
Speaker 1: character attacks, you should just forget about it.

758
00:34:10,640 --> 00:34:13,920
Speaker 2: The Republican base is so conditioned to anybody who validates

759
00:34:13,920 --> 00:34:17,759
Speaker 2: that is a Democrat. So actually she's attacking him correctly.

760
00:34:18,000 --> 00:34:21,920
Speaker 2: He is obviously correct on the merits. So it's difficult,

761
00:34:22,000 --> 00:34:24,640
Speaker 2: and this is why I'm like, I don't know how

762
00:34:24,719 --> 00:34:26,600
Speaker 2: exactly you get yourself out of this, you know. At

763
00:34:26,600 --> 00:34:30,759
Speaker 2: the same time, though, the interest sniping too between the

764
00:34:31,080 --> 00:34:34,440
Speaker 2: between the DeSantis camp and the Trump camp has reached

765
00:34:34,600 --> 00:34:37,040
Speaker 2: just very high posting levels. Let's go ahead and put

766
00:34:37,040 --> 00:34:39,440
Speaker 2: this up there on the screen. You see here, Alex

767
00:34:39,480 --> 00:34:42,280
Speaker 2: Bruce Wist. This guy is like a hardcore Trump person

768
00:34:42,400 --> 00:34:45,239
Speaker 2: online and he's been putting out tweets where he's going

769
00:34:45,280 --> 00:34:47,920
Speaker 2: after Christina Pushaw, who is a form press secretary for

770
00:34:48,000 --> 00:34:51,160
Speaker 2: Desantie's part of the DeSantis campaign. She's been going after

771
00:34:51,920 --> 00:34:55,799
Speaker 2: some of the Trump surrogates online, calling them basically calling

772
00:34:55,880 --> 00:34:59,160
Speaker 2: out Trump both on policy. Then he's like DeSantis's campaign

773
00:34:59,440 --> 00:35:01,799
Speaker 2: argues with this sixteen year old kid over Ukraine and

774
00:35:01,840 --> 00:35:06,080
Speaker 2: botox after actually they accused Christina pushav Bucktocks. Then on

775
00:35:06,160 --> 00:35:10,080
Speaker 2: Friday got Trump supporter Gavin Wax fired Gavin. For those

776
00:35:10,120 --> 00:35:12,319
Speaker 2: who don't know, he's like former New York Republicans head

777
00:35:12,400 --> 00:35:14,520
Speaker 2: and he was actually working for the Babylon Bee, the

778
00:35:14,560 --> 00:35:17,759
Speaker 2: satire Republican site. He actually tweeted what the f is

779
00:35:17,800 --> 00:35:20,839
Speaker 2: wrong with you? Christina Pushaw and then Seth Dillon, the

780
00:35:20,880 --> 00:35:24,160
Speaker 2: CEO of Babylon b actually fired him on Twitter, and

781
00:35:24,200 --> 00:35:27,759
Speaker 2: then he apparently was accused about being part of some

782
00:35:28,000 --> 00:35:29,600
Speaker 2: drug ring. So just to give you an idea of

783
00:35:29,600 --> 00:35:31,840
Speaker 2: what level the discourse is at, let's go to the

784
00:35:31,880 --> 00:35:34,840
Speaker 2: next one there also as well, because as you can see,

785
00:35:34,880 --> 00:35:37,640
Speaker 2: she's going after Robert Barnesy, somebody I believe he has

786
00:35:37,640 --> 00:35:40,200
Speaker 2: a very popular show with another guy on Rumble, and

787
00:35:40,280 --> 00:35:42,480
Speaker 2: they say that, remember who put Fauci in charge of

788
00:35:42,520 --> 00:35:45,640
Speaker 2: COVID response in twenty twenty, Donald Trump did, and he said,

789
00:35:45,680 --> 00:35:49,160
Speaker 2: why delete this? It's true because the DeSantis campaign is

790
00:35:49,200 --> 00:35:51,520
Speaker 2: going after Trump on Fauci and there's a lot of

791
00:35:51,560 --> 00:35:52,560
Speaker 2: warring over COVID.

792
00:35:52,680 --> 00:35:54,040
Speaker 3: Barnes is now what Trump is that.

793
00:35:54,160 --> 00:35:55,840
Speaker 2: Barnes is a Trump guy. Yeah, let's go to the

794
00:35:55,840 --> 00:35:59,080
Speaker 2: next one up here on the screen. Here it's another

795
00:35:59,160 --> 00:36:02,759
Speaker 2: Twitter account who is Christina Pusha From twenty eighteen. She

796
00:36:02,800 --> 00:36:05,120
Speaker 2: worked in Georgia the country by the way, as a

797
00:36:05,160 --> 00:36:09,120
Speaker 2: registered foreign agent for a former Georgian president, Mikhail Sakosphieley,

798
00:36:09,160 --> 00:36:12,120
Speaker 2: who I believe is actually Ukrainian now last time I

799
00:36:12,200 --> 00:36:14,839
Speaker 2: checked it, anyway, I think you about that Sakosphiely. Yeah,

800
00:36:15,000 --> 00:36:15,839
Speaker 2: he's an interesting guy.

801
00:36:15,880 --> 00:36:17,560
Speaker 3: I think she worked in Ukraine, too, didn't she.

802
00:36:17,680 --> 00:36:19,680
Speaker 2: I believe that she also did, or at least did

803
00:36:19,719 --> 00:36:23,120
Speaker 2: some work with Zelensky. I want to say, way back

804
00:36:23,120 --> 00:36:26,640
Speaker 2: in the day before she came to work for Rond DeSantis. Anyway,

805
00:36:27,000 --> 00:36:29,560
Speaker 2: what do we learn from this? Knives are fully out

806
00:36:29,600 --> 00:36:32,640
Speaker 2: against each other, and I'm just not sure it's gonna work.

807
00:36:32,960 --> 00:36:35,200
Speaker 2: I Mean, look, a lot of it just seems like drama,

808
00:36:35,440 --> 00:36:37,279
Speaker 2: which is on the internet. But I think what people

809
00:36:37,320 --> 00:36:40,239
Speaker 2: should underscore is that this or should people take away?

810
00:36:40,560 --> 00:36:43,319
Speaker 2: The biggest takeaway to me is the Dishanta's team is

811
00:36:43,320 --> 00:36:45,720
Speaker 2: actually willing to go after him. Yeah, there's no Nikki

812
00:36:45,760 --> 00:36:48,560
Speaker 2: Haley people out there who were prosecuting outside of like

813
00:36:48,640 --> 00:36:51,359
Speaker 2: Liz Cheney Trump's or like Trump is a threat to democracy.

814
00:36:51,640 --> 00:36:55,720
Speaker 2: This is like actual knives out real campaign fighting against

815
00:36:55,760 --> 00:36:58,120
Speaker 2: each other. It will be bitter and we'll obviously going

816
00:36:58,200 --> 00:37:00,239
Speaker 2: to be a long and a hard fought content test,

817
00:37:00,320 --> 00:37:03,680
Speaker 2: but they are willing to actually declare war, and that

818
00:37:03,800 --> 00:37:07,040
Speaker 2: shows that they have some confidence at least in their process. Now,

819
00:37:07,120 --> 00:37:08,520
Speaker 2: is it going to work? We'll see.

820
00:37:08,600 --> 00:37:11,040
Speaker 1: There's a lot of khi vibes among some of these people,

821
00:37:11,120 --> 00:37:17,040
Speaker 1: whether its viciousness so that they mean, I'm personally enjoying

822
00:37:17,080 --> 00:37:19,719
Speaker 1: watching it all unfold greatly, like go go at it,

823
00:37:19,800 --> 00:37:23,680
Speaker 1: let him fight. But yeah, it is definitely it's game on,

824
00:37:24,280 --> 00:37:28,560
Speaker 1: like no holds barred. Clearly, DeSantis's launch has sort of

825
00:37:28,600 --> 00:37:32,359
Speaker 1: open the up the floodgates. People are picking sides. It's

826
00:37:32,400 --> 00:37:36,000
Speaker 1: going to be absolutely brutal and vicious online, and you know,

827
00:37:36,200 --> 00:37:39,040
Speaker 1: we'll see whether he's able to get some traction. I

828
00:37:39,080 --> 00:37:41,520
Speaker 1: do think that this is like you can't just sit

829
00:37:41,600 --> 00:37:44,760
Speaker 1: by and take the attacks and not say anything, because

830
00:37:44,840 --> 00:37:49,319
Speaker 1: ultimately that's just like it's emasculating, it's humiliating. So at

831
00:37:49,360 --> 00:37:52,320
Speaker 1: the very least, even if you don't think your attacks

832
00:37:52,360 --> 00:37:54,720
Speaker 1: are going to land, you got to stand up for yourself.

833
00:37:54,719 --> 00:37:56,879
Speaker 1: You've got to have some level of pushback. You gotta

834
00:37:56,880 --> 00:37:59,080
Speaker 1: have some knife fighters online who are willing to like

835
00:37:59,120 --> 00:38:02,640
Speaker 1: go to the mat for you as well. And you know,

836
00:38:03,000 --> 00:38:06,839
Speaker 1: the other dynamics that are unfolding are everybody else are

837
00:38:06,880 --> 00:38:09,240
Speaker 1: too afraid to go after Trump, and so they're training

838
00:38:09,280 --> 00:38:12,839
Speaker 1: their fire at DeSantis. So if no one is going

839
00:38:12,880 --> 00:38:15,439
Speaker 1: after Trump, say for maybe Chris Christy when he gets

840
00:38:15,440 --> 00:38:17,520
Speaker 1: in the race, he's sort of coming in like a

841
00:38:17,680 --> 00:38:19,920
Speaker 1: you know, guided missile to go directly at Trump and

842
00:38:19,960 --> 00:38:20,879
Speaker 1: try to knock him off.

843
00:38:21,480 --> 00:38:23,120
Speaker 3: So maybe between the two of them.

844
00:38:23,000 --> 00:38:24,680
Speaker 1: You're able to get some traction for some of these

845
00:38:24,719 --> 00:38:28,160
Speaker 1: attacks and able to convince some people that they need

846
00:38:28,200 --> 00:38:30,480
Speaker 1: to take another look. But I do think maybe the

847
00:38:30,480 --> 00:38:34,000
Speaker 1: most revealing part of this whole segment was when on

848
00:38:34,040 --> 00:38:37,799
Speaker 1: the Newsmax panel, the one dude is like launching very

849
00:38:37,840 --> 00:38:40,560
Speaker 1: sort of grounded attacks on Trump and we're done with

850
00:38:40,640 --> 00:38:42,840
Speaker 1: the messiness and Stormy Daniels and all of this.

851
00:38:42,960 --> 00:38:43,840
Speaker 3: Let's back a winner.

852
00:38:44,120 --> 00:38:46,480
Speaker 1: And she's able to very easily dismiss it by you

853
00:38:46,560 --> 00:38:49,799
Speaker 1: sound like a Democrat's that's hard to overcome when you

854
00:38:49,880 --> 00:38:54,280
Speaker 1: have a base that has been really trained to see

855
00:38:54,440 --> 00:38:58,200
Speaker 1: any sort of attack on Trump as coming from bad faith,

856
00:38:58,600 --> 00:39:01,879
Speaker 1: coming from liberals, come from the Democratic Party. I think

857
00:39:01,920 --> 00:39:04,400
Speaker 1: it makes it a very difficult sort of situation for

858
00:39:04,440 --> 00:39:05,279
Speaker 1: them to navigate buble.

859
00:39:05,320 --> 00:39:07,239
Speaker 2: We'll see, well, we'll see. Let's go to the next

860
00:39:07,280 --> 00:39:10,880
Speaker 2: one here. This is just so fascinating. It was first

861
00:39:10,920 --> 00:39:13,520
Speaker 2: the thread was found by our producer Mac. But it

862
00:39:13,520 --> 00:39:16,040
Speaker 2: fits neatly with a story that I've just been obsessed

863
00:39:16,040 --> 00:39:19,800
Speaker 2: with recently. So let's put this up there on the screen. CW. Howell,

864
00:39:19,840 --> 00:39:23,520
Speaker 2: who is a Duke PhD. And a professor, actually assigned

865
00:39:23,600 --> 00:39:26,680
Speaker 2: his students a really interesting assignment. He said that he

866
00:39:26,760 --> 00:39:29,719
Speaker 2: had them all generate an essay, sixty three of his

867
00:39:29,719 --> 00:39:32,600
Speaker 2: students which used a prompt that he gave them for

868
00:39:32,800 --> 00:39:36,960
Speaker 2: chat GPT. Their job was to then grade their essay

869
00:39:37,280 --> 00:39:42,080
Speaker 2: and look for so called hallucinated information and critique its analysis. Now,

870
00:39:42,200 --> 00:39:44,520
Speaker 2: what he points out hallucinated information and stuff we talked

871
00:39:44,520 --> 00:39:47,920
Speaker 2: about here before, fake quotes and fake sources, real sources

872
00:39:47,960 --> 00:39:51,880
Speaker 2: that are misunderstood and mischaracterized. He says that all sixty

873
00:39:51,920 --> 00:39:55,759
Speaker 2: three essays, every single assignment, what he found was that

874
00:39:55,880 --> 00:39:58,960
Speaker 2: the biggest takeaway is that their students learn that chat

875
00:39:59,040 --> 00:40:02,879
Speaker 2: TPT was not really because all of them included some

876
00:40:02,960 --> 00:40:05,759
Speaker 2: sort of hallucinated information crystal, and it shows you that

877
00:40:05,880 --> 00:40:08,960
Speaker 2: chat GPT, at least in its current form and maybe

878
00:40:09,040 --> 00:40:11,880
Speaker 2: for all time. Who knows how difficult this is for

879
00:40:11,920 --> 00:40:17,120
Speaker 2: them to solve. Is that can easily hallucinate and create

880
00:40:17,560 --> 00:40:21,800
Speaker 2: false information. As we have shown previously, it has created

881
00:40:21,920 --> 00:40:25,880
Speaker 2: false sexual assault allegations against people before. People who have

882
00:40:26,160 --> 00:40:28,800
Speaker 2: tried to use it for purposes. Will ask them questions

883
00:40:28,840 --> 00:40:30,719
Speaker 2: that they have deep knowledge about, and then we'll get

884
00:40:30,760 --> 00:40:33,400
Speaker 2: back answers that are set in a very declarative format

885
00:40:33,640 --> 00:40:34,919
Speaker 2: and which are completely wrong.

886
00:40:35,000 --> 00:40:37,320
Speaker 3: Yeah, like page numbers and studies.

887
00:40:37,600 --> 00:40:40,080
Speaker 2: What are you talking about? This is literally not what

888
00:40:40,120 --> 00:40:42,560
Speaker 2: it says. And actually thought, I think, by the way,

889
00:40:42,560 --> 00:40:45,080
Speaker 2: I love this assignment because showing people how to it's

890
00:40:45,080 --> 00:40:47,719
Speaker 2: like the real world example where he said the real

891
00:40:47,800 --> 00:40:49,880
Speaker 2: lesson for all my students was, yeah, you can't trust

892
00:40:49,880 --> 00:40:52,080
Speaker 2: your DD for stuff like this, And I was like, Wow,

893
00:40:52,120 --> 00:40:55,960
Speaker 2: what a useful thing to actually teach somebody in university

894
00:40:55,960 --> 00:40:58,440
Speaker 2: instead of some stupid essay which they're not even going

895
00:40:58,480 --> 00:41:01,000
Speaker 2: to think about ten years later. Oh, I actually can't

896
00:41:01,040 --> 00:41:03,560
Speaker 2: trust everything that I hear. Wow, it's more complicated, it's

897
00:41:03,600 --> 00:41:07,200
Speaker 2: more nuanced, and it actually fits exactly with the same

898
00:41:07,280 --> 00:41:09,440
Speaker 2: problem of a lawyer. Let's go ahead and put this

899
00:41:09,560 --> 00:41:12,839
Speaker 2: up there. Who it was a lawyer for a man

900
00:41:13,680 --> 00:41:18,840
Speaker 2: suing Avianca Airlines, the Colombian airline. The lawsuit was written

901
00:41:19,280 --> 00:41:22,680
Speaker 2: by a judge, or sorry, by a lawyer who actually

902
00:41:22,800 --> 00:41:27,480
Speaker 2: used chat GPT, and in his brief around the lawsuit

903
00:41:27,840 --> 00:41:32,920
Speaker 2: cited quote a dozen relevant decisions. All of those decisions, however,

904
00:41:33,440 --> 00:41:37,760
Speaker 2: actually could not find the decisions or the quotation sided

905
00:41:38,080 --> 00:41:41,240
Speaker 2: or that were summarized. In other words, they were completely

906
00:41:41,360 --> 00:41:45,800
Speaker 2: invented by chat GPT, and the lawyer who actually created

907
00:41:45,840 --> 00:41:48,600
Speaker 2: the brief had to come before the judge and issue

908
00:41:48,600 --> 00:41:51,319
Speaker 2: an affidavit saying that he had used chat gp to

909
00:41:51,400 --> 00:41:54,640
Speaker 2: do all of his legal research, which he now has

910
00:41:54,680 --> 00:41:57,480
Speaker 2: to admit is quote a source that has revealed itself

911
00:41:57,640 --> 00:42:01,640
Speaker 2: to be unreliable. Yank. Well. It is funny though, because

912
00:42:01,680 --> 00:42:03,440
Speaker 2: there are quite a few tech bros you know, who

913
00:42:03,480 --> 00:42:06,600
Speaker 2: are online being like legal profession is dead. Chat ChiPT

914
00:42:06,719 --> 00:42:10,239
Speaker 2: can passion, MCAT, exam, chat gp chip, you can pass

915
00:42:10,280 --> 00:42:13,120
Speaker 2: a legal a brief or what all that, And it's like, yeah, well,

916
00:42:13,880 --> 00:42:15,000
Speaker 2: you know what else they had to deal with in

917
00:42:15,000 --> 00:42:19,000
Speaker 2: the medical field. It's called liability. And if you let's

918
00:42:19,000 --> 00:42:20,960
Speaker 2: say you're right ninety nine percent of the time. Well,

919
00:42:21,000 --> 00:42:22,600
Speaker 2: if you get it wrong one percent of the time,

920
00:42:22,760 --> 00:42:25,160
Speaker 2: then what has Microsoft now just opened itself up to

921
00:42:25,160 --> 00:42:28,400
Speaker 2: a multi billion dollar lawsuit? And at scale one percent?

922
00:42:28,480 --> 00:42:30,400
Speaker 2: Is actually a lot of people about.

923
00:42:30,160 --> 00:42:33,200
Speaker 1: This lawyer who's now in the New York Times written

924
00:42:33,280 --> 00:42:36,200
Speaker 1: up for like this moron just like outsourced all his

925
00:42:36,239 --> 00:42:39,799
Speaker 1: works at chat GPT and didn't fact check any of it.

926
00:42:40,200 --> 00:42:43,320
Speaker 1: There's a funny exchange in here because apparently he actually

927
00:42:43,440 --> 00:42:46,520
Speaker 1: asked he didn't fact check it himself, like go outside

928
00:42:46,560 --> 00:42:48,520
Speaker 1: of the program to look up these cases and make

929
00:42:48,560 --> 00:42:51,960
Speaker 1: sure that they actually existed. But he asked chat gpt

930
00:42:52,239 --> 00:42:55,400
Speaker 1: if they were real? He said, is Borghesi a real case?

931
00:42:55,480 --> 00:42:55,880
Speaker 3: He typed.

932
00:42:55,880 --> 00:42:57,680
Speaker 1: According to a copy of the exchange, he submitted to

933
00:42:57,680 --> 00:43:00,880
Speaker 1: the judge, yes, the chat but replied, offering a citation,

934
00:43:00,960 --> 00:43:03,760
Speaker 1: adding it is a real case. Then the lawyer dug deeper,

935
00:43:04,000 --> 00:43:06,240
Speaker 1: what is your source? He wrote, According to a filing,

936
00:43:06,400 --> 00:43:09,720
Speaker 1: I apologize for the confusion earlier. Chat GPT responded, offering

937
00:43:09,800 --> 00:43:13,080
Speaker 1: a legal citation. Are the other cases you provided fake,

938
00:43:13,160 --> 00:43:16,279
Speaker 1: mister Schwartz, the lawyer asked, chat GPT responded, No, the

939
00:43:16,360 --> 00:43:18,920
Speaker 1: other cases I provided are real and can be found

940
00:43:18,920 --> 00:43:23,520
Speaker 1: in reputable legal databases. None of that was true, and

941
00:43:23,920 --> 00:43:26,160
Speaker 1: I think, you know, this is eye opening to me

942
00:43:26,320 --> 00:43:30,080
Speaker 1: of how often chat GPT just makes stuff up on

943
00:43:30,160 --> 00:43:33,800
Speaker 1: a whole cloth. Because we had seen some examples of people.

944
00:43:33,800 --> 00:43:35,480
Speaker 1: They asked him a question of, like, you know, what

945
00:43:35,560 --> 00:43:38,759
Speaker 1: is the most cited like economic paper or something like that.

946
00:43:39,440 --> 00:43:43,040
Speaker 1: And what it did is it took two existing economists

947
00:43:43,200 --> 00:43:46,000
Speaker 1: researchers who I think had never worked together or they

948
00:43:46,000 --> 00:43:49,200
Speaker 1: certainly didn't create this paper together, created a fake paper

949
00:43:49,239 --> 00:43:51,520
Speaker 1: with a fake title. But these were real economis. So

950
00:43:51,560 --> 00:43:53,799
Speaker 1: if you look at it, you would think it's got

951
00:43:53,800 --> 00:43:54,480
Speaker 1: sort of like the.

952
00:43:54,480 --> 00:43:55,880
Speaker 3: Semblance of truth to it.

953
00:43:55,920 --> 00:43:58,520
Speaker 1: You're like, oh, okay, well just maybe haven't heard of

954
00:43:58,560 --> 00:43:59,200
Speaker 1: that paper before.

955
00:43:59,280 --> 00:44:00,000
Speaker 3: Let me go check it out.

956
00:44:00,800 --> 00:44:06,319
Speaker 1: Totally fabricated, one hundred percent hallucinated. They mentioned in here

957
00:44:06,680 --> 00:44:10,719
Speaker 1: the sort of theory of how and why this happens,

958
00:44:11,120 --> 00:44:13,319
Speaker 1: because again, remember what this thing is, it's a so

959
00:44:13,400 --> 00:44:17,560
Speaker 1: called large language models. The programmers feed it all of

960
00:44:17,600 --> 00:44:21,440
Speaker 1: this text and existing case history and everything that's online

961
00:44:21,520 --> 00:44:26,120
Speaker 1: and books and whatever, and then it uses predictive algorithms

962
00:44:26,120 --> 00:44:28,160
Speaker 1: to come up with what its responses are going to be.

963
00:44:28,280 --> 00:44:29,480
Speaker 3: So what they say.

964
00:44:29,600 --> 00:44:32,360
Speaker 1: In terms of a theoretical explanation for how this happens

965
00:44:32,400 --> 00:44:37,120
Speaker 1: is CHATJPT generates realistic responses by making guesses about which

966
00:44:37,200 --> 00:44:40,560
Speaker 1: fragments of text should follow other sequences based on a

967
00:44:40,600 --> 00:44:43,399
Speaker 1: statistical model that is ingested billions of examples of text

968
00:44:43,400 --> 00:44:46,520
Speaker 1: pulled from all over the internet. In mister mattas that's

969
00:44:46,560 --> 00:44:49,000
Speaker 1: this guy who is the subject of the suit case.

970
00:44:49,360 --> 00:44:53,319
Speaker 1: The program appears to have discerned the labyrinthine framework of

971
00:44:53,360 --> 00:44:57,080
Speaker 1: a written legal argument, but is populated with names and

972
00:44:57,160 --> 00:45:00,520
Speaker 1: facts from a bullya base of existing cases. So it

973
00:45:00,760 --> 00:45:05,080
Speaker 1: used this predictive statistical analysis of what it thought should

974
00:45:05,120 --> 00:45:07,440
Speaker 1: go next to it kind of figured out, okay, this

975
00:45:07,480 --> 00:45:09,400
Speaker 1: is what a legal brief should look like, and then

976
00:45:09,440 --> 00:45:13,279
Speaker 1: it just mashed together a bunch of information that didn't

977
00:45:13,480 --> 00:45:17,000
Speaker 1: wasn't actually real, wasn't actually factually based to generate this

978
00:45:17,120 --> 00:45:20,920
Speaker 1: brief very similar to what these students found when you

979
00:45:20,960 --> 00:45:24,839
Speaker 1: know their professor assigned them this task. Very similar output here,

980
00:45:24,960 --> 00:45:26,680
Speaker 1: and I thought it was interesting what one of the

981
00:45:26,719 --> 00:45:30,720
Speaker 1: students said Sager in terms of her concerns, she wrote,

982
00:45:30,800 --> 00:45:33,840
Speaker 1: I'm not worried about AI getting to where we are now.

983
00:45:33,880 --> 00:45:37,400
Speaker 1: I'm much more worried about the possibility of us reverting

984
00:45:37,480 --> 00:45:41,240
Speaker 1: to where AI is. I'm increasingly thinking that's a real

985
00:45:41,600 --> 00:45:45,280
Speaker 1: danger where people do outsource a lot of their original

986
00:45:45,320 --> 00:45:49,239
Speaker 1: thinking to chat, GPT or other large language models, and

987
00:45:49,680 --> 00:45:52,400
Speaker 1: rather than you know, it making us better, it actually

988
00:45:52,400 --> 00:45:54,719
Speaker 1: in a sense sort of dumbs us down and you know,

989
00:45:54,800 --> 00:45:57,560
Speaker 1: waters down our thinking in a sense. You already see

990
00:45:57,600 --> 00:45:59,200
Speaker 1: this in a lot of the culture. And I don't

991
00:45:59,200 --> 00:46:01,680
Speaker 1: know if it's related to technology or what it's related to,

992
00:46:01,880 --> 00:46:04,359
Speaker 1: but how many of our movies are recycled, how much

993
00:46:04,400 --> 00:46:06,839
Speaker 1: of our music is just like taking beats from like

994
00:46:06,880 --> 00:46:08,840
Speaker 1: when I was in high school that were popular and

995
00:46:08,920 --> 00:46:10,759
Speaker 1: dumping it into a new song and putting some.

996
00:46:10,760 --> 00:46:11,560
Speaker 3: New words to it.

997
00:46:11,960 --> 00:46:15,480
Speaker 1: I already feel like there is such a degrading of

998
00:46:15,520 --> 00:46:18,480
Speaker 1: creativity and lessening of creativity, and I think part of

999
00:46:18,480 --> 00:46:21,080
Speaker 1: that is like the capitalist system, but I could see

1000
00:46:21,520 --> 00:46:25,200
Speaker 1: AI play an increasing role in all it has to

1001
00:46:25,320 --> 00:46:27,240
Speaker 1: draw on is like the things we've done in the past.

1002
00:46:27,560 --> 00:46:31,120
Speaker 1: It's not capable of creating something new. So for increasingly

1003
00:46:31,160 --> 00:46:35,240
Speaker 1: relying on this chat, GPT and other large language models

1004
00:46:35,239 --> 00:46:39,000
Speaker 1: that are just drawing and regurgitating and recycling and mashing

1005
00:46:39,040 --> 00:46:42,480
Speaker 1: together things that are from our past. Does that stultify

1006
00:46:42,520 --> 00:46:44,239
Speaker 1: our creativity even more than.

1007
00:46:44,120 --> 00:46:44,960
Speaker 3: Where we're already at.

1008
00:46:45,080 --> 00:46:47,080
Speaker 2: I agree one hundred percent. There's an elegance to the

1009
00:46:47,160 --> 00:46:49,120
Speaker 2: human One of my favorite scenes in movies from The

1010
00:46:49,160 --> 00:46:51,919
Speaker 2: Wolf of Wall Street where Leo DiCaprio is surrounded by

1011
00:46:52,239 --> 00:46:54,840
Speaker 2: his friends and John Bernhal is one of the actors

1012
00:46:54,880 --> 00:46:56,799
Speaker 2: and he's like, sell me this pen, and he hands

1013
00:46:56,840 --> 00:46:58,760
Speaker 2: it to one of his friends and the guy starts

1014
00:46:58,760 --> 00:47:01,840
Speaker 2: going like, oh, well, this pen is beautiful. He's like,

1015
00:47:01,880 --> 00:47:03,120
Speaker 2: now that's not going to work. And he has one

1016
00:47:03,160 --> 00:47:05,160
Speaker 2: of the other guy who is his favorite salesman, and

1017
00:47:05,480 --> 00:47:07,400
Speaker 2: Burnhal and he's like, sell me this pen. He's like, hey,

1018
00:47:07,400 --> 00:47:08,680
Speaker 2: can you write something down for me? He's like, no,

1019
00:47:08,719 --> 00:47:10,640
Speaker 2: I can't. He said, yeah, exactly, that's why you need

1020
00:47:10,760 --> 00:47:13,239
Speaker 2: this pen. And it's there's such an elegance to that.

1021
00:47:13,280 --> 00:47:15,600
Speaker 2: And I just actually tried it with chat GPT because

1022
00:47:15,640 --> 00:47:18,040
Speaker 2: it reminded me of this. I've seen this experiment before

1023
00:47:18,080 --> 00:47:20,920
Speaker 2: and it falls for that lowest common denominator of are

1024
00:47:20,920 --> 00:47:23,400
Speaker 2: you tired of ordinary pens? They're feeling lackluster, you know,

1025
00:47:23,440 --> 00:47:25,720
Speaker 2: like trying to describe, but it doesn't create the demand.

1026
00:47:25,719 --> 00:47:29,120
Speaker 2: It doesn't have that like understanding of the human dynamic

1027
00:47:29,200 --> 00:47:31,400
Speaker 2: of what's actually going on here. And I feel like

1028
00:47:31,680 --> 00:47:35,319
Speaker 2: all chat GPT is done is increase the lowest common denominator,

1029
00:47:35,320 --> 00:47:38,000
Speaker 2: so like it's better now for the lowest of low

1030
00:47:38,040 --> 00:47:40,360
Speaker 2: effort work. I think, Okay, I mean that's not a

1031
00:47:40,400 --> 00:47:43,360
Speaker 2: bad thing whenever it comes to white collar but people

1032
00:47:43,400 --> 00:47:47,160
Speaker 2: really underestimate, you know, how much little minute decision makings

1033
00:47:47,200 --> 00:47:50,239
Speaker 2: and creativity and things that require human beings to do.

1034
00:47:50,320 --> 00:47:52,680
Speaker 2: Can you automate all that? Maybe? But I always think

1035
00:47:52,680 --> 00:47:55,799
Speaker 2: about Noam Chomski's op ED where he taught and yeah,

1036
00:47:55,920 --> 00:47:58,840
Speaker 2: NOME right now, very complicated feelings on Noome after the

1037
00:47:58,880 --> 00:48:02,600
Speaker 2: whole Epstein thing, but this area of expertise on linguistics,

1038
00:48:02,800 --> 00:48:05,520
Speaker 2: what he wrote is that what lllms failed to understand

1039
00:48:05,560 --> 00:48:07,920
Speaker 2: is it's just literally not how the human human mind

1040
00:48:08,239 --> 00:48:11,560
Speaker 2: or language evolved. It's not about amalgamating a bunch of

1041
00:48:11,600 --> 00:48:14,520
Speaker 2: stuff and then spitting it out. You can never capture

1042
00:48:14,640 --> 00:48:17,000
Speaker 2: how language actually came to be in the way that

1043
00:48:17,160 --> 00:48:19,399
Speaker 2: communication really works, which I thought was a really cool

1044
00:48:19,400 --> 00:48:20,080
Speaker 2: way of putting it.

1045
00:48:20,120 --> 00:48:25,000
Speaker 1: But I could easily see us falling into the you know, trap,

1046
00:48:25,280 --> 00:48:28,200
Speaker 1: the laziness trap of let me just use chat GPT

1047
00:48:28,360 --> 00:48:31,480
Speaker 1: to do my first draft. Yeah, oh yeah, and how

1048
00:48:31,560 --> 00:48:33,399
Speaker 1: much of you know, I mean, we write a lot

1049
00:48:33,440 --> 00:48:35,759
Speaker 1: for this show. We write monologues, you know, all week

1050
00:48:35,840 --> 00:48:39,879
Speaker 1: every week, and so much of my thinking comes from

1051
00:48:39,960 --> 00:48:43,920
Speaker 1: having to actually sit with the blank paper and grapple

1052
00:48:43,960 --> 00:48:46,440
Speaker 1: with it. Yes, and I come up with new and

1053
00:48:46,480 --> 00:48:48,120
Speaker 1: size that I hadn't thought of before. As I'm in

1054
00:48:48,120 --> 00:48:50,200
Speaker 1: the writing process. Sometimes it starts I'm like, you know,

1055
00:48:50,280 --> 00:48:52,239
Speaker 1: this is weak, Like I need to change what I'm

1056
00:48:52,239 --> 00:48:55,399
Speaker 1: doing here, I need a different angle or whatever. If

1057
00:48:55,440 --> 00:48:59,839
Speaker 1: you're outsourcing even just that first draft to this automated technology,

1058
00:49:00,239 --> 00:49:03,640
Speaker 1: you really are losing some of the like spark that

1059
00:49:03,840 --> 00:49:07,359
Speaker 1: is unique to human beings. And I could easily see

1060
00:49:07,400 --> 00:49:10,799
Speaker 1: us falling down that path where all we're doing is

1061
00:49:10,840 --> 00:49:15,200
Speaker 1: having this machine regurgitate and mash up for us things

1062
00:49:15,239 --> 00:49:19,120
Speaker 1: that already exist, and you know, it dulling the sort

1063
00:49:19,160 --> 00:49:23,960
Speaker 1: of creativity and joy and variability of the human experience

1064
00:49:24,000 --> 00:49:27,719
Speaker 1: within our culture. So that's what this really underscored for

1065
00:49:27,880 --> 00:49:30,359
Speaker 1: me is actually some of the perils not of like

1066
00:49:30,680 --> 00:49:32,600
Speaker 1: I do think the concerns about like what's it going

1067
00:49:32,640 --> 00:49:34,000
Speaker 1: to do and how smart's it going to get and

1068
00:49:34,040 --> 00:49:35,600
Speaker 1: what how is it going to I think those are

1069
00:49:35,680 --> 00:49:39,800
Speaker 1: legitimate concerns, but this underscored for me the opposite concern,

1070
00:49:40,000 --> 00:49:42,080
Speaker 1: which is, rather than taking over, it just makes all

1071
00:49:42,120 --> 00:49:43,239
Speaker 1: of it like drags us down.

1072
00:49:43,320 --> 00:49:48,040
Speaker 2: It makes this Dummer very good point. All right, let's

1073
00:49:48,080 --> 00:49:50,320
Speaker 2: go to the next one here. This is absolutely fascinating.

1074
00:49:50,360 --> 00:49:52,920
Speaker 2: We've been keeping our eye on these metatrends. Put it

1075
00:49:53,000 --> 00:49:57,800
Speaker 2: up there, please, about domestic offshoring or sometimes called interra shoring,

1076
00:49:57,960 --> 00:50:03,080
Speaker 2: sometimes called like inside shoring. Nobody really knows how exactly

1077
00:50:03,800 --> 00:50:06,560
Speaker 2: to look at it, but I think it's really important

1078
00:50:06,600 --> 00:50:10,239
Speaker 2: because this is about how cities which we have seen

1079
00:50:10,440 --> 00:50:14,400
Speaker 2: have domestic migration, in migration and cities that have lost

1080
00:50:14,680 --> 00:50:18,359
Speaker 2: places are all not only following where people want to live,

1081
00:50:18,719 --> 00:50:22,960
Speaker 2: but also low wage jobs out of some key cities.

1082
00:50:23,080 --> 00:50:25,320
Speaker 2: So when we talk about low wage jobs, we're thinking

1083
00:50:25,320 --> 00:50:27,600
Speaker 2: about call centers. That's one of the ones that they

1084
00:50:27,640 --> 00:50:30,320
Speaker 2: show here. Basically jobs that don't pay enough to cover

1085
00:50:30,600 --> 00:50:33,960
Speaker 2: the cost of housing in cities like New York, Washington,

1086
00:50:34,040 --> 00:50:37,279
Speaker 2: d C. San Francisco have now been moving at a

1087
00:50:37,480 --> 00:50:39,719
Speaker 2: very fast paced in the last couple of years to

1088
00:50:39,880 --> 00:50:43,480
Speaker 2: less expensive places like Orlando, Phoenix, and Las Vegas. And

1089
00:50:43,480 --> 00:50:46,080
Speaker 2: what's really crazy about this, Crystal is this data is

1090
00:50:46,160 --> 00:50:48,960
Speaker 2: only as recent as twenty twenty one, so we have

1091
00:50:49,040 --> 00:50:53,640
Speaker 2: two full years that have completely changed since this has happened.

1092
00:50:54,200 --> 00:50:57,640
Speaker 2: They also actually point to the fact that this increase

1093
00:50:57,760 --> 00:51:02,040
Speaker 2: in domestic on shorings or interest storing, as I've said,

1094
00:51:02,360 --> 00:51:06,480
Speaker 2: has led to a huge increase in the number of

1095
00:51:06,760 --> 00:51:10,239
Speaker 2: jobs that specifically not only low wage but in some

1096
00:51:10,280 --> 00:51:16,960
Speaker 2: cases also executive jobs in Austin, Denver, San Jose, San Diego, Dallas,

1097
00:51:17,000 --> 00:51:21,000
Speaker 2: Fort Worth, Saint Louis, Missouri, and then Phoenix, Arizona. And

1098
00:51:21,040 --> 00:51:23,399
Speaker 2: so what they point to is that within a lot

1099
00:51:23,400 --> 00:51:26,279
Speaker 2: of these places you are seeing a huge increase. It

1100
00:51:26,760 --> 00:51:29,200
Speaker 2: also kind of fits with what we've talked here about

1101
00:51:29,400 --> 00:51:32,960
Speaker 2: where millions of people flee New York, San Francisco, Chicago,

1102
00:51:33,040 --> 00:51:34,799
Speaker 2: they're all going to the Sunbelt. The sun Belt just

1103
00:51:34,800 --> 00:51:36,879
Speaker 2: seems to be booming in a way that I don't

1104
00:51:36,880 --> 00:51:40,080
Speaker 2: think a lot of people are understanding, or they're going

1105
00:51:40,080 --> 00:51:43,920
Speaker 2: to places where it's a lower tax environment while still

1106
00:51:44,040 --> 00:51:46,000
Speaker 2: in the time zone where you're able to do business

1107
00:51:46,239 --> 00:51:49,160
Speaker 2: for remote work. I've talked about Boise before. Phoenix is

1108
00:51:49,200 --> 00:51:53,040
Speaker 2: another good example. Obviously everyone knows about Austin, but that's

1109
00:51:53,040 --> 00:51:55,360
Speaker 2: not the only city in Houston that's growing. You've got Houston,

1110
00:51:55,400 --> 00:52:00,000
Speaker 2: and you've got Dallas, all of the suburban area Florida, obviously, Georgia.

1111
00:52:00,200 --> 00:52:02,919
Speaker 2: Atlanta right now is absolutely hot. But you know, there's

1112
00:52:02,960 --> 00:52:04,759
Speaker 2: a lot of other areas in the Sun Belt as well,

1113
00:52:04,960 --> 00:52:07,160
Speaker 2: which has seen a major increase. And I think this

1114
00:52:07,200 --> 00:52:10,359
Speaker 2: is really going to reshape the entire US economy. And

1115
00:52:10,440 --> 00:52:14,320
Speaker 2: are you really are politics? Because if capital starts leaving

1116
00:52:14,680 --> 00:52:17,759
Speaker 2: these big cities, it lessens their political importance, and it

1117
00:52:17,840 --> 00:52:21,319
Speaker 2: lessens the concentration that made these cities important and all

1118
00:52:21,360 --> 00:52:22,800
Speaker 2: that stuff in the first place. One of the biggest

1119
00:52:22,840 --> 00:52:25,400
Speaker 2: things that they're talking about here is how the only

1120
00:52:25,480 --> 00:52:30,160
Speaker 2: thing that keeps the Washington, San Francisco, New York City

1121
00:52:30,360 --> 00:52:33,560
Speaker 2: and all these cities still high prestige is that they

1122
00:52:33,600 --> 00:52:37,360
Speaker 2: are where quote unquote high end jobs are the most concentrated,

1123
00:52:37,400 --> 00:52:40,000
Speaker 2: so the highest earners and all the executives. DC is

1124
00:52:40,080 --> 00:52:42,840
Speaker 2: number one, San Francisco number two, New York City is

1125
00:52:42,960 --> 00:52:45,839
Speaker 2: number three. Surprise DC is up there is number one.

1126
00:52:45,880 --> 00:52:47,399
Speaker 2: Probably has to do with government.

1127
00:52:47,120 --> 00:52:47,399
Speaker 3: I'm sure.

1128
00:52:47,680 --> 00:52:49,440
Speaker 2: Again we are the legal capital of the world. So

1129
00:52:49,520 --> 00:52:50,000
Speaker 2: there you go.

1130
00:52:50,160 --> 00:52:53,440
Speaker 1: Well, what they talked, speak to here is a further

1131
00:52:53,680 --> 00:52:58,160
Speaker 1: sort of sorting and bifurcating of our economy, where you know,

1132
00:52:58,200 --> 00:53:01,160
Speaker 1: what really makes the place sort of healthy and vibrant

1133
00:53:01,360 --> 00:53:05,800
Speaker 1: is that you have an array of people, different cultures,

1134
00:53:05,800 --> 00:53:10,840
Speaker 1: different income levels. Crucially, and we've already had this sorting

1135
00:53:11,000 --> 00:53:12,680
Speaker 1: happening in some of the largest cities.

1136
00:53:12,719 --> 00:53:14,400
Speaker 3: I think San Francisco it's the most.

1137
00:53:14,160 --> 00:53:18,640
Speaker 1: Clear, where you have very highly paid tech executives and

1138
00:53:18,680 --> 00:53:22,080
Speaker 1: other tech knowledge workers, and then you have you know,

1139
00:53:22,200 --> 00:53:25,000
Speaker 1: people who are you know, really struggling, and you have

1140
00:53:25,080 --> 00:53:28,720
Speaker 1: this vast inequality and it leads to a true hollowing

1141
00:53:28,760 --> 00:53:31,080
Speaker 1: out where if you're a middle class person like you

1142
00:53:31,120 --> 00:53:33,879
Speaker 1: can't live in San Francisco, there's a handful of them

1143
00:53:33,960 --> 00:53:36,279
Speaker 1: like hanging on there by their fingertips because they just

1144
00:53:36,320 --> 00:53:39,680
Speaker 1: love the place so much. But what this is pointing

1145
00:53:39,719 --> 00:53:42,200
Speaker 1: to is that that sort of hollowing out of those

1146
00:53:42,320 --> 00:53:46,480
Speaker 1: middle tier jobs and them leaving, you know, the jobs

1147
00:53:46,520 --> 00:53:48,640
Speaker 1: themselves leading the city and the workers along with them.

1148
00:53:48,640 --> 00:53:53,440
Speaker 1: Of course, that's coming for a much broader array of society.

1149
00:53:53,800 --> 00:53:54,120
Speaker 3: They say.

1150
00:53:54,120 --> 00:53:56,760
Speaker 1: As workers quit expensive cities, they leave behind a smaller

1151
00:53:56,800 --> 00:54:00,840
Speaker 1: workforce that's heavily concentrated with executive decision makers other people.

1152
00:54:00,560 --> 00:54:01,840
Speaker 3: Who are highly paid.

1153
00:54:02,320 --> 00:54:05,160
Speaker 1: They write in this report, this growing economic and geographic

1154
00:54:05,200 --> 00:54:08,279
Speaker 1: divide threatens to limit opportunity for people in lower cost

1155
00:54:08,400 --> 00:54:12,520
Speaker 1: regions and could have social and political consequences. As America's

1156
00:54:12,560 --> 00:54:15,520
Speaker 1: high end labor becomes concentrated and so called superstar cities,

1157
00:54:15,920 --> 00:54:19,280
Speaker 1: those living elsewhere could experience less social and economic mobility.

1158
00:54:19,360 --> 00:54:22,160
Speaker 1: I think this says a lot about where once opportunities lie.

1159
00:54:22,280 --> 00:54:24,680
Speaker 1: If you're a customer service rep or working in that realm,

1160
00:54:24,760 --> 00:54:26,920
Speaker 1: you'll find most of your opportunities away from those coastal

1161
00:54:26,920 --> 00:54:29,480
Speaker 1: cities that will influence your life, who your peers are,

1162
00:54:29,520 --> 00:54:31,799
Speaker 1: and the opportunities your children have. So it's a sort

1163
00:54:31,840 --> 00:54:36,399
Speaker 1: of further stratifying of American society, which, you know, there's

1164
00:54:37,000 --> 00:54:39,799
Speaker 1: a really good part of this, which is workers remote work,

1165
00:54:39,880 --> 00:54:42,160
Speaker 1: being able to work in cities where it's affordable for them,

1166
00:54:42,200 --> 00:54:44,160
Speaker 1: and being able to leave these cities that have been

1167
00:54:44,400 --> 00:54:46,600
Speaker 1: you know, have a terrible quality of life and they're

1168
00:54:46,640 --> 00:54:50,240
Speaker 1: just wildly unaffordable. But the more that we sort ourselves,

1169
00:54:50,280 --> 00:54:53,160
Speaker 1: the more that we stratified, the more you're also vulnerable

1170
00:54:53,200 --> 00:54:57,040
Speaker 1: to that sort of like coming apart phenomenon that we've

1171
00:54:57,080 --> 00:55:00,720
Speaker 1: already seen and has now been accelerated by COVID trend.

1172
00:55:00,719 --> 00:55:03,879
Speaker 1: You'll have cities that are the superstar like almost.

1173
00:55:03,520 --> 00:55:06,280
Speaker 3: Like luxury goods for the very.

1174
00:55:06,080 --> 00:55:09,120
Speaker 1: Wealthiest among us, and then you'll have like the rest

1175
00:55:09,120 --> 00:55:11,040
Speaker 1: of the country and big divides.

1176
00:55:11,840 --> 00:55:15,080
Speaker 2: We talked about it before, but they're basically openly admitting

1177
00:55:15,120 --> 00:55:17,160
Speaker 2: that the only way to save Manhattan is to turn

1178
00:55:17,200 --> 00:55:20,000
Speaker 2: it even more so into a rich person's playground. They're like,

1179
00:55:20,200 --> 00:55:22,440
Speaker 2: we got to make sure the bars never close, we

1180
00:55:22,520 --> 00:55:24,560
Speaker 2: got to destroy all the commercial real estate. We just

1181
00:55:24,560 --> 00:55:27,560
Speaker 2: got to turn this into like a Dubai like play

1182
00:55:27,920 --> 00:55:31,239
Speaker 2: like Playboy haven for the richest people in the world.

1183
00:55:31,040 --> 00:55:32,799
Speaker 3: Which was Bloomberg's vision for the way.

1184
00:55:32,920 --> 00:55:33,919
Speaker 2: It actually will work.

1185
00:55:34,000 --> 00:55:34,520
Speaker 3: Great task.

1186
00:55:34,680 --> 00:55:36,839
Speaker 2: That's the gross part is it will work. It also

1187
00:55:36,920 --> 00:55:39,719
Speaker 2: probably will destroy any of the last like cool things

1188
00:55:39,719 --> 00:55:42,880
Speaker 2: still that remain about New York City, but economically probably

1189
00:55:42,920 --> 00:55:44,880
Speaker 2: the right thing to do. I've seen it in so

1190
00:55:44,960 --> 00:55:47,879
Speaker 2: many places like the South of France, for example. Any

1191
00:55:48,000 --> 00:55:50,840
Speaker 2: charm in the South of France has long disappeared after

1192
00:55:51,120 --> 00:55:53,319
Speaker 2: like all the richest people in the world decided to

1193
00:55:53,320 --> 00:55:55,719
Speaker 2: come in buy it all up. Their whole hit neighborhoods

1194
00:55:55,719 --> 00:55:58,040
Speaker 2: of London which are basically not British anymore, and they

1195
00:55:58,080 --> 00:56:00,160
Speaker 2: belong to the golf are of states. This is it's

1196
00:56:00,160 --> 00:56:02,120
Speaker 2: not a critique. It's just like being there. You might

1197
00:56:02,160 --> 00:56:03,719
Speaker 2: as well be in Dubai and it's all like the

1198
00:56:03,880 --> 00:56:07,120
Speaker 2: ritzy you know, stuff all all around you, and you're like, oh, well,

1199
00:56:07,120 --> 00:56:09,160
Speaker 2: all the history from this is basically gone. Any of

1200
00:56:09,160 --> 00:56:11,719
Speaker 2: the original you know people, This is all just you know,

1201
00:56:11,800 --> 00:56:15,560
Speaker 2: basically serving money, which is just gross like whenever you

1202
00:56:15,600 --> 00:56:17,680
Speaker 2: see it. And yeah, I mean that's what they want

1203
00:56:17,760 --> 00:56:20,080
Speaker 2: New York, I guess to become. It probably is the

1204
00:56:20,200 --> 00:56:23,799
Speaker 2: endgame for most of these cities, but it will lead

1205
00:56:23,880 --> 00:56:26,560
Speaker 2: to a further coming apart phenomenon that you're pointing to. Yeah,

1206
00:56:26,640 --> 00:56:27,399
Speaker 2: that's not a good thing.

1207
00:56:27,600 --> 00:56:29,560
Speaker 1: No, it's not a good thing. So it's a real

1208
00:56:29,600 --> 00:56:31,480
Speaker 1: mix bag. I mean, I really cheer for workers to

1209
00:56:31,480 --> 00:56:33,920
Speaker 1: have a lot more flexibility. And the other part of

1210
00:56:33,920 --> 00:56:37,920
Speaker 1: this is certain jobs that are white collar jobs but

1211
00:56:38,040 --> 00:56:42,000
Speaker 1: are more mid tier level, they can be relocated to

1212
00:56:42,520 --> 00:56:45,000
Speaker 1: you know, a whole variety of other cities. People can

1213
00:56:45,040 --> 00:56:48,239
Speaker 1: live wherever and do those jobs. People who are you know,

1214
00:56:48,719 --> 00:56:51,520
Speaker 1: picking up your trash, who are serving you coffee, like

1215
00:56:51,600 --> 00:56:55,000
Speaker 1: those service sector jobs don't have that same luxury, and

1216
00:56:55,040 --> 00:56:57,160
Speaker 1: so that's how you'll end up with this. You know,

1217
00:56:57,239 --> 00:56:59,279
Speaker 1: cities that look like San Francisco, where it's the haves

1218
00:56:59,280 --> 00:57:01,240
Speaker 1: and the have nots, there's not a whole lot in between,

1219
00:57:01,280 --> 00:57:05,400
Speaker 1: and that's just not a healthy, healthy ecosystem for anybody whatsoever.

1220
00:57:06,600 --> 00:57:10,120
Speaker 1: We were pretty astonished to see some very critical commentary

1221
00:57:10,320 --> 00:57:13,800
Speaker 1: of President Joe Biden based on some new poll numbers

1222
00:57:13,840 --> 00:57:17,760
Speaker 1: over on CNN from Jake Tapper, who really did not

1223
00:57:17,880 --> 00:57:19,920
Speaker 1: pull any punches here. Take a listen to what he

1224
00:57:19,960 --> 00:57:22,600
Speaker 1: had to say about these new poll results, and we're back.

1225
00:57:22,440 --> 00:57:23,720
Speaker 3: With our twenty twenty four lead.

1226
00:57:23,960 --> 00:57:27,080
Speaker 11: Horrible news, horrible for Joe Biden and our new CNN Paul.

1227
00:57:27,120 --> 00:57:30,680
Speaker 11: While the president leads as Democratic competitors by a huge margin,

1228
00:57:31,080 --> 00:57:34,520
Speaker 11: two thirds of all of the American people surveyed, sixty

1229
00:57:34,560 --> 00:57:37,560
Speaker 11: six percent of the public say that a Biden victory

1230
00:57:38,120 --> 00:57:41,840
Speaker 11: would either be a setback or a disaster. I mean,

1231
00:57:41,880 --> 00:57:44,240
Speaker 11: when it comes to how voters see Joe Biden and

1232
00:57:44,520 --> 00:57:48,480
Speaker 11: another presidential term, I mean, those are some bad numbers.

1233
00:57:48,680 --> 00:57:53,160
Speaker 12: Well, I mean just your basic favorability, favorable opinion, or

1234
00:57:53,280 --> 00:57:57,240
Speaker 12: unfavorable Joe Biden. Look at how Americans are rating him, Jake,

1235
00:57:57,360 --> 00:58:00,800
Speaker 12: I mean, thirty five percent favorable. That is remarkably low.

1236
00:58:01,200 --> 00:58:04,480
Speaker 12: Fifty seven percent have an unfavorable rating. Well, look at

1237
00:58:04,480 --> 00:58:08,600
Speaker 12: this decline among independents from December thirty five percent favorable

1238
00:58:08,640 --> 00:58:11,240
Speaker 12: rating in December. He's now down a twenty six percent

1239
00:58:11,280 --> 00:58:15,000
Speaker 12: favorable with independence critical voters in the electorate.

1240
00:58:15,120 --> 00:58:16,320
Speaker 2: Jake. That's a big warning sign.

1241
00:58:17,200 --> 00:58:21,120
Speaker 11: And David, how do Biden's numbers here compare to those

1242
00:58:21,160 --> 00:58:22,920
Speaker 11: of the Republican front runner Donald Trump?

1243
00:58:23,040 --> 00:58:23,160
Speaker 1: Right?

1244
00:58:23,240 --> 00:58:25,640
Speaker 12: Well, you hear Joe Biden say all the time, compare

1245
00:58:25,720 --> 00:58:30,960
Speaker 12: him to the alternative, not the Almighty, And basically they're

1246
00:58:31,000 --> 00:58:32,600
Speaker 12: both not looking good, Jake.

1247
00:58:32,760 --> 00:58:37,960
Speaker 1: They're both basically equivalent there Trump and Biden's feasibilities. And

1248
00:58:38,280 --> 00:58:40,120
Speaker 1: I think this is a hard thing for Democrats to

1249
00:58:40,120 --> 00:58:43,880
Speaker 1: reckon with because we understand the very negative emotions that

1250
00:58:43,960 --> 00:58:46,560
Speaker 1: a lot of people have about a majority of people

1251
00:58:46,640 --> 00:58:48,400
Speaker 1: have about Donald Trump and feel it would be a

1252
00:58:48,440 --> 00:58:50,440
Speaker 1: disaster for him to be back in the White House.

1253
00:58:50,800 --> 00:58:53,000
Speaker 1: How do you grapple with it that people feel a

1254
00:58:53,040 --> 00:58:54,680
Speaker 1: lot of the same ways and a lot of the

1255
00:58:54,680 --> 00:58:58,320
Speaker 1: same numbers about Joe Biden. So to hear this laid

1256
00:58:58,320 --> 00:59:01,200
Speaker 1: down so starkly on CNN was really something. I mean,

1257
00:59:01,240 --> 00:59:03,720
Speaker 1: just to go over some of those numbers again, forty

1258
00:59:03,760 --> 00:59:05,200
Speaker 1: one percent of Americans.

1259
00:59:04,760 --> 00:59:07,120
Speaker 3: Believe it would be a disaster if Biden.

1260
00:59:06,880 --> 00:59:09,400
Speaker 1: Won in twenty twenty four. Twenty six percent said it

1261
00:59:09,400 --> 00:59:12,439
Speaker 1: would be a setback. Meanwhile, very similar numbers for Trump

1262
00:59:12,520 --> 00:59:14,920
Speaker 1: a little bit more forty four percent say a victory

1263
00:59:14,920 --> 00:59:18,240
Speaker 1: for Trump would be a disaster, twelve percent, so lower

1264
00:59:18,320 --> 00:59:20,800
Speaker 1: numbers say it would be set back, showing the sort

1265
00:59:20,840 --> 00:59:23,200
Speaker 1: of like you know, with Biden, people feel a little

1266
00:59:23,240 --> 00:59:26,600
Speaker 1: less strongly about them in either direction. But the fact

1267
00:59:26,640 --> 00:59:29,760
Speaker 1: that we have these two guys that overwhelming majority of

1268
00:59:29,760 --> 00:59:33,040
Speaker 1: Americans do not want that a plurality say this would

1269
00:59:33,080 --> 00:59:35,960
Speaker 1: be a disaster if they got back in there, And

1270
00:59:36,000 --> 00:59:39,120
Speaker 1: this is what we're likely to face in twenty twenty four. Yeah,

1271
00:59:39,160 --> 00:59:41,160
Speaker 1: we talked about like the decline of culture, and our

1272
00:59:41,240 --> 00:59:45,240
Speaker 1: chat GPT segment is this is as stark a sign

1273
00:59:45,520 --> 00:59:46,640
Speaker 1: of the.

1274
00:59:46,400 --> 00:59:48,760
Speaker 3: Decline of this country as I can imagine.

1275
00:59:48,760 --> 00:59:50,880
Speaker 2: Oh absolutely, And it's reflecting the poll. Put that up

1276
00:59:50,880 --> 00:59:52,360
Speaker 2: there on the screen where you can see. In the

1277
00:59:52,360 --> 00:59:55,000
Speaker 2: Democratic primary, Biden has only got sixty percent of the

1278
00:59:55,040 --> 00:59:58,160
Speaker 2: people who are affirmatively voting for him. RFK Junior is

1279
00:59:58,200 --> 01:00:01,160
Speaker 2: a twenty percent. Maryan Williamson's at eight percent, someone else

1280
01:00:01,280 --> 01:00:04,440
Speaker 2: also at eight percent. I mean, look, that's powerful stuff.

1281
01:00:04,480 --> 01:00:07,720
Speaker 2: And actually that puts Biden right around where Jimmy Carter

1282
01:00:07,840 --> 01:00:10,200
Speaker 2: ended up in nineteen eighty. Now I think he's probably

1283
01:00:10,240 --> 01:00:13,560
Speaker 2: better off because Trump also has such high negative ratings.

1284
01:00:13,600 --> 01:00:16,080
Speaker 2: But it really reveals to you, like in an alternative

1285
01:00:16,120 --> 01:00:19,040
Speaker 2: universe where the GOP is not twisted itself into notts.

1286
01:00:19,080 --> 01:00:21,880
Speaker 2: I mean, it's easiest lay up election really of all time.

1287
01:00:22,000 --> 01:00:24,640
Speaker 2: Like if they were able to pull themselves out of it,

1288
01:00:24,760 --> 01:00:27,280
Speaker 2: they could have, and if they had some Reaganesque type

1289
01:00:27,280 --> 01:00:30,520
Speaker 2: figure gal I mean, I honestly think like Glenn youngin

1290
01:00:30,640 --> 01:00:33,240
Speaker 2: somebody like very milk toast or anything, and get like

1291
01:00:33,320 --> 01:00:35,880
Speaker 2: fifty four or fifty five percent of the vote easily

1292
01:00:35,960 --> 01:00:38,720
Speaker 2: by just being like I'm not crazy and I don't

1293
01:00:38,760 --> 01:00:41,520
Speaker 2: like that guy, and neither do you. Everyone be like, okay, sure,

1294
01:00:41,600 --> 01:00:44,400
Speaker 2: I absolutely And that's one of those where the GOP, though,

1295
01:00:44,440 --> 01:00:46,480
Speaker 2: always finds a way to shoot himself, as in the

1296
01:00:46,520 --> 01:00:49,320
Speaker 2: foot Obama. You know, he wasn't as weak as Biden,

1297
01:00:49,400 --> 01:00:51,560
Speaker 2: but he was pretty weak. I think going into twenty twelve,

1298
01:00:51,600 --> 01:00:54,360
Speaker 2: I wish they acknowledged they were actually somewhat afraid and

1299
01:00:54,480 --> 01:00:56,640
Speaker 2: Romney got acted, They're like, oh we got this. Yeah.

1300
01:00:56,760 --> 01:00:57,480
Speaker 2: They very is easy.

1301
01:00:57,800 --> 01:00:59,960
Speaker 1: To their credit, though they also ran a very effect

1302
01:01:00,480 --> 01:01:04,360
Speaker 1: absolutely brutal. Romney brutally like you know, set the stage

1303
01:01:04,400 --> 01:01:06,360
Speaker 1: early for the caricature.

1304
01:01:05,840 --> 01:01:07,200
Speaker 3: Of him that they wanted to prosecute.

1305
01:01:07,240 --> 01:01:09,240
Speaker 1: He stepped in it with his like infamous forty seven

1306
01:01:09,280 --> 01:01:13,800
Speaker 1: percent comments. But you know, I just think also one

1307
01:01:13,800 --> 01:01:16,040
Speaker 1: thing I have to quibble with in terms of the

1308
01:01:16,120 --> 01:01:18,240
Speaker 1: Jake Taper commentaries, he goes out of his way to

1309
01:01:18,280 --> 01:01:20,280
Speaker 1: be like, oh, he's very, very far ahead of his

1310
01:01:20,520 --> 01:01:23,760
Speaker 1: primary opponents, and it's like yes and no. I mean,

1311
01:01:24,040 --> 01:01:27,160
Speaker 1: you're the sitting incumbent president and you're only getting sixty

1312
01:01:27,200 --> 01:01:27,720
Speaker 1: percent of the.

1313
01:01:27,760 --> 01:01:31,160
Speaker 3: Vote, and those members are not all that different.

1314
01:01:30,800 --> 01:01:34,280
Speaker 1: From what Trump is garnering in the Republican primary, and

1315
01:01:34,320 --> 01:01:36,000
Speaker 1: you wouldn't go out of your way to be like,

1316
01:01:36,040 --> 01:01:38,760
Speaker 1: he's very far ahead and he doesn't have any you know,

1317
01:01:38,880 --> 01:01:42,919
Speaker 1: any challenge whatsoever in the GOP primary. So and this

1318
01:01:43,000 --> 01:01:46,240
Speaker 1: is with you know, the media completely shutting out both

1319
01:01:46,400 --> 01:01:49,919
Speaker 1: RFK and Marian and doing everything they can to try

1320
01:01:49,920 --> 01:01:53,160
Speaker 1: to convince the public, like always got no serious primary conteeries.

1321
01:01:53,200 --> 01:01:55,960
Speaker 1: Practically the nominee already like it's just you know, a

1322
01:01:55,960 --> 01:01:57,920
Speaker 1: matter of time and he's going to be anointed, and

1323
01:01:58,240 --> 01:02:01,040
Speaker 1: no one real has stepped up against him him. Clearly

1324
01:02:01,120 --> 01:02:03,760
Speaker 1: there is a real hunger for there to be some

1325
01:02:03,960 --> 01:02:07,280
Speaker 1: alternative to him. And maybe the most stark numbers that

1326
01:02:07,320 --> 01:02:10,320
Speaker 1: I've seen recently is that you have an actual majority,

1327
01:02:10,880 --> 01:02:14,160
Speaker 1: it's fifty to fifty that think that Biden will even

1328
01:02:14,200 --> 01:02:17,360
Speaker 1: be the Democratic nominee, which shows you the lack of

1329
01:02:17,440 --> 01:02:21,520
Speaker 1: confidence that even Democratic voters and certainly the electric overall

1330
01:02:22,080 --> 01:02:25,920
Speaker 1: has in the current precedent. So you know, it's a

1331
01:02:25,960 --> 01:02:28,680
Speaker 1: grim landscape. Neither of these dues, as we've talked about,

1332
01:02:28,680 --> 01:02:31,480
Speaker 1: to have any intention of debating, Like, you know, the

1333
01:02:31,520 --> 01:02:33,920
Speaker 1: political calculus for them is that they're not going to

1334
01:02:33,920 --> 01:02:37,120
Speaker 1: pay a price if they don't actually engage in democratic process.

1335
01:02:37,440 --> 01:02:39,680
Speaker 1: And it's just very sad. So it was kind of

1336
01:02:39,760 --> 01:02:41,720
Speaker 1: nice to see a little bit of a little bit

1337
01:02:41,720 --> 01:02:43,840
Speaker 1: of unvarnished truth there slipped through on CNN.

1338
01:02:43,920 --> 01:02:46,240
Speaker 2: Every once in a while, the trip the truth.

1339
01:02:46,000 --> 01:02:51,840
Speaker 3: Actually breaks in, all right, sy weally looking at it, well.

1340
01:02:51,760 --> 01:02:54,040
Speaker 2: It seems every month these days is dedicated to some

1341
01:02:54,120 --> 01:02:56,800
Speaker 2: so called marginalized community. I have no idea where it

1342
01:02:56,800 --> 01:02:58,400
Speaker 2: all came from, because when I was a kid, it

1343
01:02:58,440 --> 01:03:00,720
Speaker 2: was just Black History Month, and that seems fine. But

1344
01:03:00,760 --> 01:03:02,600
Speaker 2: as May comes to an end, we are suddenly seeing

1345
01:03:02,720 --> 01:03:07,000
Speaker 2: the last chance and goodbyes to AAPI month. API Month

1346
01:03:07,040 --> 01:03:11,600
Speaker 2: for the uninitiated is Asian American and Pacific Island Heritage Month. Now,

1347
01:03:11,680 --> 01:03:13,840
Speaker 2: as someone who is technically within that group, the term

1348
01:03:13,880 --> 01:03:16,400
Speaker 2: has always bothered me. What do I have in common

1349
01:03:16,400 --> 01:03:18,400
Speaker 2: with someone who was South Korean, And what do they

1350
01:03:18,440 --> 01:03:20,880
Speaker 2: have in common with somebody of Cambodian descent, and what

1351
01:03:20,920 --> 01:03:24,400
Speaker 2: do they have in common with literal Polynesians. It collapses

1352
01:03:24,440 --> 01:03:28,160
Speaker 2: on a rudimentary analysis. Yet almost everywhere you look these days,

1353
01:03:28,160 --> 01:03:31,040
Speaker 2: if someone was to classify me in some corporate America structure,

1354
01:03:31,160 --> 01:03:33,600
Speaker 2: it's where I would fall. I always was just annoyed

1355
01:03:33,600 --> 01:03:36,600
Speaker 2: by it by it, but didn't actually think much until

1356
01:03:36,600 --> 01:03:39,440
Speaker 2: my friend Richard Hanania put out a very informative thread

1357
01:03:39,680 --> 01:03:42,960
Speaker 2: that tells us a lot about modern racial politics. Per

1358
01:03:43,200 --> 01:03:46,600
Speaker 2: Richard's telling, the origin of the term Asian American Pacific

1359
01:03:46,600 --> 01:03:49,800
Speaker 2: Islander actually has its roots in the US government. After

1360
01:03:49,840 --> 01:03:52,400
Speaker 2: the Office of Management and Budget put out Directory of

1361
01:03:52,520 --> 01:03:56,040
Speaker 2: Number fifteen in May nineteen seventy seven and created modern

1362
01:03:56,120 --> 01:04:00,360
Speaker 2: racial and ethnic categories for census purposes. These include American,

1363
01:04:00,440 --> 01:04:04,840
Speaker 2: Indian or Alaskan, Native, Asian or Pacific Islander, Black, Hispanic,

1364
01:04:04,920 --> 01:04:08,480
Speaker 2: and white. Now, leaving aside how nebulous Hispanic also is

1365
01:04:08,560 --> 01:04:11,400
Speaker 2: as a term, consider that the only reason they did

1366
01:04:11,440 --> 01:04:13,440
Speaker 2: five is because that was the minimum and they didn't

1367
01:04:13,440 --> 01:04:15,880
Speaker 2: want to do more. From there, things actually got even

1368
01:04:15,920 --> 01:04:19,000
Speaker 2: more interesting, per his telling, after the creation of the

1369
01:04:19,040 --> 01:04:22,080
Speaker 2: Asian American term, it came time to include Asians in

1370
01:04:22,160 --> 01:04:24,840
Speaker 2: the Small Business Act so that they could give grants

1371
01:04:24,880 --> 01:04:27,880
Speaker 2: to minority contractors. Since we had a new minority, they

1372
01:04:27,880 --> 01:04:30,960
Speaker 2: had to be included because the previous law only covered Blacks,

1373
01:04:31,000 --> 01:04:34,080
Speaker 2: Hispanics and Native Americans. Here, Congress took a stab at

1374
01:04:34,080 --> 01:04:42,520
Speaker 2: deciding which Asians count as disadvantage. They landed on Cambodians, Chinese, Guam, Japan, Korea, Laos,

1375
01:04:42,680 --> 01:04:47,280
Speaker 2: the Northern Mariana Islands, Philippines, Samoa, Taiwan, and Vietnam. That

1376
01:04:47,360 --> 01:04:49,520
Speaker 2: was it for Then there's a lot going on, so

1377
01:04:49,680 --> 01:04:51,600
Speaker 2: not much in common with each other, of course, and

1378
01:04:51,640 --> 01:04:54,600
Speaker 2: already stupid, but actually gets much stupid stupider. From that

1379
01:04:54,720 --> 01:04:58,439
Speaker 2: point forward, other Asian races so called I guess got

1380
01:04:58,520 --> 01:05:01,640
Speaker 2: upset because they were not included, so they slowly included

1381
01:05:01,720 --> 01:05:06,280
Speaker 2: the places like of India, Tonga, Sri Lanka, Indonesia, Nepal, Bhutan,

1382
01:05:06,640 --> 01:05:09,640
Speaker 2: and at that point basically anyone even peripherially connected to

1383
01:05:09,680 --> 01:05:12,720
Speaker 2: the Asian land mass or the Pacific Ocean scrambled to

1384
01:05:12,800 --> 01:05:15,440
Speaker 2: get in because if they didn't, they couldn't take advantage

1385
01:05:15,480 --> 01:05:17,880
Speaker 2: of the tax benefits. Here, though, is where things get

1386
01:05:17,920 --> 01:05:21,160
Speaker 2: even funnier. By the nineteen nineties, Pacific Islanders inclusion with

1387
01:05:21,240 --> 01:05:25,840
Speaker 2: the AAPIs began to cause problems because for the Pacific Islanders,

1388
01:05:26,080 --> 01:05:29,520
Speaker 2: with the rise of affirmative action, racial regimes and college admissions,

1389
01:05:29,640 --> 01:05:33,040
Speaker 2: they were competing against Asians when getting into college. This

1390
01:05:33,120 --> 01:05:36,600
Speaker 2: presented a problem. The federal government then created a new

1391
01:05:36,640 --> 01:05:40,360
Speaker 2: category called Native Hawaiians and Pacific Islanders just to make

1392
01:05:40,400 --> 01:05:42,880
Speaker 2: sure that they could get into college easier. So, as

1393
01:05:42,960 --> 01:05:46,480
Speaker 2: Richard so absolutely puts it, quote in contracting, AAPI are

1394
01:05:46,560 --> 01:05:48,960
Speaker 2: united in being disadvantaged and in getting benefits from the

1395
01:05:48,960 --> 01:05:51,600
Speaker 2: government in college admissions, they are separated so that the

1396
01:05:51,640 --> 01:05:54,040
Speaker 2: few pis in the country don't have to compete with

1397
01:05:54,120 --> 01:05:57,640
Speaker 2: Korean and Chinese students. It's just all so absurd and

1398
01:05:57,720 --> 01:06:00,760
Speaker 2: too much to make up. But it has real as

1399
01:06:00,800 --> 01:06:02,320
Speaker 2: you can see from the chart that he put together.

1400
01:06:02,480 --> 01:06:04,959
Speaker 2: The term did not exist in the United States until

1401
01:06:05,000 --> 01:06:07,760
Speaker 2: the government created it out of sheer laziness and nepotism.

1402
01:06:08,040 --> 01:06:11,720
Speaker 2: Now it is some full blown fake cultural phenomenon. Reading

1403
01:06:11,720 --> 01:06:15,520
Speaker 2: Biding's executive order declaring AAPI month, you can't help but laugh,

1404
01:06:15,560 --> 01:06:17,640
Speaker 2: he says. Quote. This year, I was proud to launch

1405
01:06:17,680 --> 01:06:21,480
Speaker 2: the first ever national strategy to advance equity, justice, and

1406
01:06:21,560 --> 01:06:25,840
Speaker 2: opportunity for Asian American, Native Hawaiian, and Pacific Islander communities.

1407
01:06:26,040 --> 01:06:29,760
Speaker 2: The new national strategy, ironically, is actually supposed to promote diversity,

1408
01:06:29,760 --> 01:06:33,680
Speaker 2: equity inclusion by actually collecting accurate census data on each

1409
01:06:33,720 --> 01:06:37,120
Speaker 2: individual subgroup. In other words, by getting more accurate data,

1410
01:06:37,160 --> 01:06:39,640
Speaker 2: they are admitting that the entire thing is not representative

1411
01:06:39,720 --> 01:06:42,480
Speaker 2: of any group of people and that the current data

1412
01:06:42,480 --> 01:06:46,240
Speaker 2: and term is useless. AAPI, to me, best signifies the

1413
01:06:46,240 --> 01:06:49,280
Speaker 2: diversity Olympics that people who aren't white in America are

1414
01:06:49,320 --> 01:06:52,280
Speaker 2: subject subject it to despite none of us ever asking

1415
01:06:52,320 --> 01:06:55,240
Speaker 2: for it. My own personal annoyance outside of being lumped

1416
01:06:55,240 --> 01:06:57,720
Speaker 2: in with Asian American is when people call us South

1417
01:06:57,760 --> 01:07:01,200
Speaker 2: Asians as if Indians, Pakistanis, and Bangladeshi's all have so

1418
01:07:01,320 --> 01:07:03,880
Speaker 2: much in common with each other. If they did, then

1419
01:07:03,880 --> 01:07:06,280
Speaker 2: they would be their own country. Why not just refer

1420
01:07:06,320 --> 01:07:09,280
Speaker 2: to people as Americans first, then if you reference prior

1421
01:07:09,320 --> 01:07:12,200
Speaker 2: toscent you can use nationality if that's what that person prefers.

1422
01:07:12,480 --> 01:07:16,080
Speaker 2: Consider the absurdity that Koreans, Japanese and Chinese are all

1423
01:07:16,080 --> 01:07:19,000
Speaker 2: supposed to be lumped together. It's almost as if bureaucrats

1424
01:07:19,000 --> 01:07:20,800
Speaker 2: who came up with the term, or the people who

1425
01:07:20,840 --> 01:07:23,520
Speaker 2: think about lumping them together as respectful don't know that

1426
01:07:23,560 --> 01:07:28,240
Speaker 2: in actual Asia, these countries individually have very complex relationships,

1427
01:07:28,400 --> 01:07:31,600
Speaker 2: in some cases despise each other or have centuries of

1428
01:07:31,680 --> 01:07:34,960
Speaker 2: intra warfare and conquests. By the way, as our previous

1429
01:07:35,000 --> 01:07:38,960
Speaker 2: discussion on Hispanics revealed, that term too collapses under the

1430
01:07:38,960 --> 01:07:42,840
Speaker 2: most basic of scrutiny alongside Latino. And finally, let me

1431
01:07:43,080 --> 01:07:46,280
Speaker 2: take this opportunity to speak to my fellow AAPIs the

1432
01:07:46,360 --> 01:07:50,200
Speaker 2: biggest conival by the diversity equity inclusion folks is to

1433
01:07:50,240 --> 01:07:52,640
Speaker 2: try to get us to go along with their nonsense

1434
01:07:52,840 --> 01:07:58,320
Speaker 2: while they simultaneously have architected an entire affirmative action regime

1435
01:07:58,680 --> 01:08:02,320
Speaker 2: designed to preference their admission to the cultural and financial

1436
01:08:02,320 --> 01:08:05,640
Speaker 2: elite at our expense. When they are forced to compete

1437
01:08:05,680 --> 01:08:09,360
Speaker 2: on merit, they fail miserably, so they are literally fighting

1438
01:08:09,360 --> 01:08:11,720
Speaker 2: tooth and nail to make sure it is harder for

1439
01:08:11,920 --> 01:08:14,560
Speaker 2: us to get in and easier for them. They are

1440
01:08:14,600 --> 01:08:17,800
Speaker 2: also targeting the professions that Asians in America have traditionally

1441
01:08:17,840 --> 01:08:21,040
Speaker 2: excelled at, like doctors and lawyers, to reduce merit based

1442
01:08:21,080 --> 01:08:24,760
Speaker 2: criteria and allow other groups an easier shot. Asians are

1443
01:08:24,880 --> 01:08:27,600
Speaker 2: minorities when they are convenient, and oppressors when they are not.

1444
01:08:27,960 --> 01:08:30,679
Speaker 2: An easier way is to just simply consider people as

1445
01:08:30,760 --> 01:08:34,080
Speaker 2: individuals with their own story. After all, the reason that

1446
01:08:34,120 --> 01:08:37,680
Speaker 2: most Asians came to the United States was opportunity and

1447
01:08:37,720 --> 01:08:41,280
Speaker 2: to be freed of the suffocating social constructions of traditional

1448
01:08:41,320 --> 01:08:45,000
Speaker 2: Asian cultures in America. You can be anything. We should

1449
01:08:45,080 --> 01:08:47,160
Speaker 2: keep it that way. Now. I hope you all have

1450
01:08:47,200 --> 01:08:50,599
Speaker 2: a good AAPI month. It's crazy that it was created.

1451
01:08:50,640 --> 01:08:53,480
Speaker 1: And if you want to hear my reaction to Sager's monologue,

1452
01:08:53,520 --> 01:09:03,639
Speaker 1: become a premium subscriber today. At breakingpoints, Dot com.

1453
01:09:00,160 --> 01:09:01,439
Speaker 3: You take a look at Well, guys.

1454
01:09:01,479 --> 01:09:04,280
Speaker 1: As you all certainly know, Ron DeSantis struggled last week

1455
01:09:04,280 --> 01:09:08,080
Speaker 1: to launch his presidential campaign alongside billionaire entrepreneur Elon Musk

1456
01:09:08,160 --> 01:09:11,000
Speaker 1: on Musk's personal social media platform that would be Twitter.

1457
01:09:11,439 --> 01:09:14,040
Speaker 1: Didn't go all that well. The attempted launch was beset

1458
01:09:14,080 --> 01:09:17,280
Speaker 1: by some catastrophic technical failures that has lasted nearly half

1459
01:09:17,320 --> 01:09:20,479
Speaker 1: an hour. Once functioning, half the audience was gone, the

1460
01:09:20,520 --> 01:09:23,799
Speaker 1: audio was still horrendous, the content so stilted and fawning

1461
01:09:23,840 --> 01:09:26,320
Speaker 1: that Megan Kelly, who agrees with DeSantis on a lot

1462
01:09:26,360 --> 01:09:30,680
Speaker 1: of his cultural takes, declared it provda esque in its obsequiousness.

1463
01:09:30,960 --> 01:09:34,200
Speaker 1: Of course, this all made for unintentionally amazing schadenfreud to content,

1464
01:09:34,479 --> 01:09:39,040
Speaker 1: but the deeper applications of the incestuous relationships between politicians

1465
01:09:39,080 --> 01:09:43,200
Speaker 1: and their chosen billionaires those are anything but amusing. Literally,

1466
01:09:43,320 --> 01:09:47,400
Speaker 1: the day after DeSantis launched with Elon Musk, he signed

1467
01:09:47,400 --> 01:09:51,400
Speaker 1: into law a gigantic giveaway to one of Musk's companies

1468
01:09:51,439 --> 01:09:54,920
Speaker 1: that would be SpaceX. This new bill that DeSantis just

1469
01:09:54,960 --> 01:09:59,400
Speaker 1: signed in law protects SpaceX and other commercial space flight companies.

1470
01:09:59,200 --> 01:10:01,360
Speaker 3: From any leadlegal liability if a.

1471
01:10:01,320 --> 01:10:03,560
Speaker 1: Crew member or passenger is injured or killed due to

1472
01:10:03,600 --> 01:10:08,760
Speaker 1: the company's negligence, except in certain extreme circumstances, so participants

1473
01:10:08,840 --> 01:10:12,599
Speaker 1: now mussign a waiver which reads quote warning. Under Florida law,

1474
01:10:12,640 --> 01:10:15,400
Speaker 1: there is no liability for an injury to or death

1475
01:10:15,439 --> 01:10:18,160
Speaker 1: of a participant or crew in a spaceflight activity provided

1476
01:10:18,200 --> 01:10:21,599
Speaker 1: by a spaceflight entity if such injury or death results

1477
01:10:21,640 --> 01:10:26,000
Speaker 1: from the spaceflight activity. Injuries caused by spaceflight activities may include,

1478
01:10:26,040 --> 01:10:31,800
Speaker 1: among others, injury to land equipment, persons, and animals, as

1479
01:10:31,800 --> 01:10:33,320
Speaker 1: well as the potential for you to act in a

1480
01:10:33,360 --> 01:10:36,000
Speaker 1: negligent manner that may contribute to your injury or death.

1481
01:10:36,040 --> 01:10:39,400
Speaker 1: You are assuming the risk of participating in the spaceflight activity.

1482
01:10:39,720 --> 01:10:42,880
Speaker 1: As long as a waiver assigned SpaceX and all the

1483
01:10:42,920 --> 01:10:46,599
Speaker 1: other spaceflight companies, they're in the clear. Such protection from

1484
01:10:46,680 --> 01:10:50,360
Speaker 1: lawsuits is even more relevant for must Space Exploration right now,

1485
01:10:50,479 --> 01:10:53,880
Speaker 1: given the company's most recent disaster. So about a month ago,

1486
01:10:53,960 --> 01:10:56,960
Speaker 1: the company launched the largest rocket ever built, got off

1487
01:10:56,960 --> 01:11:00,400
Speaker 1: the ground, but not before exploding the launch pad, curling

1488
01:11:00,479 --> 01:11:02,920
Speaker 1: giant hunks of concrete with rebarred to the ocean and

1489
01:11:03,000 --> 01:11:06,719
Speaker 1: dangering offshore fuel storage tanks, and after mere minutes of flight,

1490
01:11:07,080 --> 01:11:11,080
Speaker 1: the whole thing blew up mid air. Unfortunately, no people aboard,

1491
01:11:11,160 --> 01:11:14,040
Speaker 1: but plenty of people on the ground did suffer. The

1492
01:11:14,120 --> 01:11:17,840
Speaker 1: launch and the subsequent explosions caused particulate matter, including sand,

1493
01:11:17,880 --> 01:11:20,360
Speaker 1: ash and heavier materials that were kicked up by the

1494
01:11:20,400 --> 01:11:21,200
Speaker 1: launch to.

1495
01:11:21,320 --> 01:11:23,599
Speaker 3: Rain down on a large area.

1496
01:11:24,000 --> 01:11:26,439
Speaker 1: Residents as far away as Port Isabel, that's a community

1497
01:11:26,479 --> 01:11:29,880
Speaker 1: about six miles away, were inundated.

1498
01:11:29,320 --> 01:11:30,519
Speaker 3: With this type of material.

1499
01:11:31,000 --> 01:11:33,960
Speaker 1: Researchers are worried that breathing the stuff in could cause

1500
01:11:34,040 --> 01:11:37,439
Speaker 1: long term respiratory issues. They're still researching that. And as

1501
01:11:37,479 --> 01:11:40,439
Speaker 1: if that wasn't enough, the launch pad explosion also start

1502
01:11:40,520 --> 01:11:43,040
Speaker 1: a wildfire that spread across three and a half acres

1503
01:11:43,080 --> 01:11:46,040
Speaker 1: of state park land. Now, according to environmental and cultural

1504
01:11:46,040 --> 01:11:48,920
Speaker 1: heritage nonprofits, which are now suing the government over all

1505
01:11:48,960 --> 01:11:52,439
Speaker 1: of this, all of these impacts were predictable and should

1506
01:11:52,479 --> 01:11:55,920
Speaker 1: have been revealed by an environmental impact assessment. They say

1507
01:11:55,960 --> 01:11:59,639
Speaker 1: the FAA violated the National Environment Policy Act by green

1508
01:11:59,680 --> 01:12:02,799
Speaker 1: lighting the launch of the heaviest rocket in history without

1509
01:12:02,920 --> 01:12:07,880
Speaker 1: engaging in this legally mandated thorough review. SpaceX, it turns out,

1510
01:12:07,920 --> 01:12:11,320
Speaker 1: successfully persuaded the FAA to use a less stringent process,

1511
01:12:11,479 --> 01:12:14,240
Speaker 1: which allowed them to piggyback off of approvals for their

1512
01:12:14,280 --> 01:12:17,760
Speaker 1: much smaller Falcon nine rockets. That's according to substacker Esghound,

1513
01:12:18,280 --> 01:12:22,080
Speaker 1: this process led SpaceX and the government to wildly underestimate

1514
01:12:22,120 --> 01:12:25,040
Speaker 1: the impact and potential destruction of this launch on nearly

1515
01:12:25,160 --> 01:12:29,160
Speaker 1: every level. Such of the swantastic results when government and

1516
01:12:29,280 --> 01:12:32,800
Speaker 1: industry are way too cozy, a disgusting American tradition, which

1517
01:12:32,800 --> 01:12:37,400
Speaker 1: apparently Governor DeSantis happily continues in Florida today. So Ron DeSantis,

1518
01:12:37,400 --> 01:12:39,120
Speaker 1: of course, he stakes a good bit of his political

1519
01:12:39,120 --> 01:12:42,200
Speaker 1: career on a fight with corporate giant Disney. He frames

1520
01:12:42,200 --> 01:12:44,840
Speaker 1: this battle in almost leftist terms as a noble stand

1521
01:12:44,840 --> 01:12:47,000
Speaker 1: against corporate power, and on that level, he actually has

1522
01:12:47,040 --> 01:12:49,960
Speaker 1: a point. Disney has for decades in Florida, received huge

1523
01:12:50,000 --> 01:12:52,400
Speaker 1: tax breaks been able to run its own government. But

1524
01:12:52,479 --> 01:12:55,320
Speaker 1: the launch with Musk and goodies to Musk revealed that

1525
01:12:55,360 --> 01:12:58,439
Speaker 1: DeSantis clearly doesn't have a problem with unaccountable corporate power

1526
01:12:58,720 --> 01:13:01,439
Speaker 1: so long as it's his ben factors and partisan allies

1527
01:13:01,479 --> 01:13:04,880
Speaker 1: who ultimately benefit. Now, DeSantis taking on Disney has nothing

1528
01:13:04,920 --> 01:13:07,919
Speaker 1: to do with principle and everything to do with political ambition.

1529
01:13:08,320 --> 01:13:11,040
Speaker 1: In fact, more than anything, the DeSantis Twitter campaign launch

1530
01:13:11,080 --> 01:13:13,680
Speaker 1: revealed just how little the governor actually cares about his

1531
01:13:13,720 --> 01:13:16,679
Speaker 1: supposed principles. He might stand up to Disney, but he's

1532
01:13:16,760 --> 01:13:19,960
Speaker 1: putty in Elon Musk's hands. He might decry social media

1533
01:13:20,040 --> 01:13:23,120
Speaker 1: censorship of conservatives on free speech grounds, but he will

1534
01:13:23,280 --> 01:13:26,080
Speaker 1: enthusiastically team up with a guy who just brazenly censored

1535
01:13:26,120 --> 01:13:28,719
Speaker 1: journalists in Turkey on behalf of a right wing government.

1536
01:13:29,080 --> 01:13:32,679
Speaker 1: DeSantis and other Republican partisans feigned deep concern about government

1537
01:13:32,680 --> 01:13:35,599
Speaker 1: power teamed up with social media oligarchs, but somehow see

1538
01:13:35,800 --> 01:13:38,839
Speaker 1: nothing wrong with the current governor and top presential contender

1539
01:13:38,880 --> 01:13:43,160
Speaker 1: receiving overt support from their own social media oligarch. They

1540
01:13:43,200 --> 01:13:46,160
Speaker 1: are rightly outraged by censorship of the Hunter Biden laptop

1541
01:13:46,200 --> 01:13:49,280
Speaker 1: story under Jack, but apparently have zero interest in how

1542
01:13:49,320 --> 01:13:52,599
Speaker 1: the platform could be manipulated under Elon to benefit his

1543
01:13:52,800 --> 01:13:56,320
Speaker 1: chosen favored candidate. It is telling that Desant has felt

1544
01:13:56,320 --> 01:14:00,360
Speaker 1: no shame signing Elon Musk giveaway bill one day after

1545
01:14:00,640 --> 01:14:03,519
Speaker 1: his Elon Musk sponsored launch. He doesn't expect the media

1546
01:14:03,560 --> 01:14:05,960
Speaker 1: to particularly notice, and he doesn't expect the Republican base

1547
01:14:06,040 --> 01:14:08,599
Speaker 1: to particularly care when all the world is a culture

1548
01:14:08,640 --> 01:14:12,200
Speaker 1: war principles really don't matter, only who is on what side.

1549
01:14:12,320 --> 01:14:15,599
Speaker 1: And with Desanta's gamely accepting utter humiliation on Twitter and

1550
01:14:15,640 --> 01:14:19,400
Speaker 1: promptly handing over a giant gift to SpaceX Elon, will

1551
01:14:19,439 --> 01:14:22,519
Speaker 1: have no doubt that DeSantis is firmly on his side,

1552
01:14:22,760 --> 01:14:23,880
Speaker 1: and that is he's having his.

1553
01:14:23,840 --> 01:14:24,599
Speaker 3: Way with Florida.

1554
01:14:24,680 --> 01:14:26,640
Speaker 1: He would have his way with the whole nation or

1555
01:14:26,640 --> 01:14:29,000
Speaker 1: DeSantis to ascend to the White House.

1556
01:14:29,200 --> 01:14:31,400
Speaker 3: And I think what really got me, Sager is the reason.

1557
01:14:31,600 --> 01:14:34,360
Speaker 2: And if you want to hear my reaction to Crystal's monologue,

1558
01:14:34,360 --> 01:14:40,559
Speaker 2: become a premium subscriber today at Breakingpoints dot com. Thank

1559
01:14:40,600 --> 01:14:42,519
Speaker 2: you guys so much for watching, and thank you to

1560
01:14:42,520 --> 01:14:45,439
Speaker 2: all the premium subscribers supporting us helping us build out.

1561
01:14:45,680 --> 01:14:47,599
Speaker 2: So it'll be sad to say goodbye to the desk,

1562
01:14:47,680 --> 01:14:49,880
Speaker 2: but we're ready to move on. I think I think

1563
01:14:49,880 --> 01:14:50,720
Speaker 2: we're ready to move on.

1564
01:14:51,040 --> 01:14:53,280
Speaker 1: Yeah, we see if we have an emotional reaction to

1565
01:14:53,360 --> 01:14:54,720
Speaker 1: the removal of the brick wall.

1566
01:14:54,840 --> 01:14:57,519
Speaker 2: New stuff is so cool, it makes it, it makes

1567
01:14:57,560 --> 01:14:58,960
Speaker 2: it easier. I think say goodbye.

1568
01:14:59,080 --> 01:14:59,439
Speaker 3: That's true.

1569
01:14:59,479 --> 01:15:00,840
Speaker 2: We've got a lot of great stuff in the work

1570
01:15:00,880 --> 01:15:03,280
Speaker 2: for everybody, and we will see you all tomorrow.