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Speaker 1: It's sponsorship time. But you know what, it's really great

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Speaker 1: when you get a sponsor that you already use. And

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Speaker 1: guess what. Quint's is something that in the Todd household

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Speaker 1: we already go to. Why do we go to Quint's

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Speaker 1: Because it's a place you go where you can get

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Speaker 1: some really nice clothes without the really expensive prices. And

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Speaker 1: one of the things I've been going through is I've

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Speaker 1: transitioned from being mister cot and tie guy to wanting

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Speaker 1: a little more casual but to look nice doing it.

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Speaker 1: Is I've become mister quarter zip guy. Well guess what.

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Speaker 1: Guess who's got amazing amounts of quarter zips? It is Quints.

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Speaker 1: I have gotten quite a few already from there. The

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Speaker 1: stuff's really nice. They have Mongolian cashmere sweaters for fifty dollars.

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Speaker 1: I just know, hey, cashmere, that's pretty good. You don't

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Speaker 1: normally get that for fifty bucks or less. Italian wool

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Speaker 1: coats that look and feel like designer the stuff. I'll

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Speaker 1: be honest, right, you look at it online, you think, okay,

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Speaker 1: is this really as nice as it looks? Well, when

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Speaker 1: I got it, I was like, oh, this is real quality.

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Speaker 1: So yeah, I'm going to end up making sure I

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Speaker 1: take it to my dry cleaner so I don't screw

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Speaker 1: it up when I clean it. But I've been quite impressed.

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Speaker 1: In Hey, it's holiday season. It is impossible to shop

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Speaker 1: your kids, tell your spouses, tell your partners. Try Quints.

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Speaker 1: Or if you're trying to figure out what to get

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Speaker 1: your adult child, what to get your mom or dad,

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Speaker 1: I'm telling you you're gonna find something that is going

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Speaker 1: to be comfortable for them on Quints. So get your

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Speaker 1: wardrobe sorted and your gift list handled with Quints. Don't wait.

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Speaker 1: Go to quints dot com slash chuck for free shipping

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Speaker 1: on your order and three hundred and sixty five day

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Speaker 1: returns now available in Canada as well. That's qui nce

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Speaker 1: dot com, slash chuck, free shipping and three hundred and

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Speaker 1: sixty five day returns quints dot com slash chuck. Use

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Speaker 1: that code. Hello there, Happy Friday, and welcome to another

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Speaker 1: episode of The Chuck Podcast. My apologies. The Chuck Podcast

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Speaker 1: headquarters had a traveled day that they had to deal with,

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Speaker 1: so that's why we are coming to you a day late.

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Speaker 1: My apologies for that but it's actually a good time

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Speaker 1: to remind you that, hey, guess what. Thanks to the

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Speaker 1: holidays and various issues, including the college football playoff, my

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Speaker 1: publishing schedule is going to be at tad shorter next week.

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Speaker 1: I am not going to drop a new episode on

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Speaker 1: Christmas Day, which would normally be the schedule we will have.

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Speaker 1: We will have two down two downloads next week, one

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Speaker 1: on Monday and one on Wednesday. Then we'll do the

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Speaker 1: super long weekend and go from there. But you will

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Speaker 1: have two new feeds for me next week, not just

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Speaker 1: It's not going to just be holiday reruns or anything

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Speaker 1: like that. But yes, I am here a day late,

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Speaker 1: so my apologies for that. But again, like I said,

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Speaker 1: the production headquarters of the Check podcast had to relocate

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Speaker 1: in preparation for the holidays, and it involved some road tripping,

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Speaker 1: and we'll just leave it at that. I also want

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Speaker 1: to promote what I have today. My interview is with

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Speaker 1: a gentleman by the name of Bradley Tusk. He is

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Speaker 1: a democratic, sort of a democratic operative of sorts. He

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Speaker 1: was a campaign manager for Michael Bloomberg's successful third term

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Speaker 1: run for New York City mayor back in two thousand

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Speaker 1: and nine, But he's really more in the investor space,

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Speaker 1: and he's actually focused when it comes to small d

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Speaker 1: democratic reforms on an effort to make mobile voting mainstream.

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Speaker 1: And in fact, the first experiment is going to take

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Speaker 1: place in Anchorage, Alaska, Alaska, considering how many people live

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Speaker 1: in very remote areas not the easiest to either vote

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Speaker 1: by mail, vote early, and so Bradley Tusk will make

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Speaker 1: the case that this is safe. If it's safe enough

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Speaker 1: for you to do transactions for the Internet, when it

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Speaker 1: comes to your bank accounts, buying and selling stock and

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Speaker 1: bitcoin and all that business, why shouldn't we have a

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Speaker 1: mobile voting Estonia actually is the one country in the world,

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Speaker 1: but it's been doing this the longest. Let's be realistic,

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Speaker 1: in thirty years this is going to be mainstream. The

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Speaker 1: question is how many generations is it going to take

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Speaker 1: for us to have to die off before there is

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Speaker 1: trust in this. I think we are in this current

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Speaker 1: moment very distrustful of each other, distrustful of big tech.

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Speaker 1: So it's hard to imagine mobile voting going mainstream in

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Speaker 1: the next two to five years. But considering everything you know,

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Speaker 1: how about you know, when's the last time you wrote

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Speaker 1: a check, a physical check these days. Right, I'm not

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Speaker 1: saying some of you don't do it.

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Speaker 2: I do it.

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Speaker 1: I at least write one check a month. So I'm

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Speaker 1: somebody who's still writing the occasional actctual paper check. But

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Speaker 1: I know I'm in the minority, and so we're going

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Speaker 1: to get there. The question is how long will adoption

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Speaker 1: take anyway we go through this and some other The

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Speaker 1: other interesting aspect by my conversation with Bradley Tusk is

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Speaker 1: I sort of challenge him to say, you know, give

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Speaker 1: advice to the Democrats. How can they be more friendly

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Speaker 1: towards business without sort of giving away the store if

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Speaker 1: you will? Right like, right now, you have a Trump

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Speaker 1: Republican party that is not interested in doing any regulating

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Speaker 1: with business. Basically, you know, it's regulate, it's regulation or

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Speaker 1: no regulation depending on what you want and how big

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Speaker 1: of a check you write. Very transactional. I think it's

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Speaker 1: easy to classify it as as as borderline corrupt. Some

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Speaker 1: of you may say, why did you use the why

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Speaker 1: did you use borderline? But it certainly is the process

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Speaker 1: itself these days when it comes to big business and

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Speaker 1: the Trumpet min isration, it's a corrupt bargain. Uh, and

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Speaker 1: it is you know, we're you know, capitalism itself needs

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Speaker 1: good regulation, We need some good guard rails. But the

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Speaker 1: Democratic Party is in a real trap on this because

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Speaker 1: if you if, if you're in a if you're trying

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Speaker 1: to woo a constituency and the person and the entity

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Speaker 1: you're running against says, hey, you know, go ahead, you know,

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Speaker 1: no rules, we don't want any Yeah, no, no, you don't

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Speaker 1: want ai regulation in the States, Sure we'll sign a moratorium,

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Speaker 1: you know, No matter how how much that maybe individually

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Speaker 1: some of these business groups may think, yeah, we there

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Speaker 1: probably ought to be some structured regulation. And you know what,

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Speaker 1: what the Democrats are asking for doesn't seem to be

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Speaker 1: totally unreasonable. How do you go to your shareholders if

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Speaker 1: you can get if you can actually have no guardrails

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Speaker 1: on your business, or you can have minimal guardrails on

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Speaker 1: your business. And one party is saying that. Now again,

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Speaker 1: I think at some point this is going to implode

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Speaker 1: on them, you know, the lack of regulation on social media.

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Speaker 1: Look what we have today, right, we destroyed the information ecosystem.

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Speaker 1: So but it's an interesting challenge they have, and it's

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Speaker 1: not easy. And obviously the party itself is not united

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Speaker 1: on this either. And I think it's fair to say

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Speaker 1: that mister Tuskett, I don't think he's you know, if

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Speaker 1: he if he if he qualifies as a Democrat. He's

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Speaker 1: very much in that center left portion of the Democratic Party.

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Speaker 1: And of course they're in in some ways in a

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Speaker 1: huge debate with the more progressive wing of the party

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Speaker 1: about the direction of when it comes to how accommodating

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Speaker 1: are you to business and how and how unaccommodating should

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Speaker 1: things be? So it is uh, I do think the

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Speaker 1: conversation is more than just about mobile voting. I want

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Speaker 1: to alert you to that, and I think it'll be

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Speaker 1: I think it'll be a worthy conversation for those of

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Speaker 1: you that are wondering where's the Democratic Party going and

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Speaker 1: what can the Can there be a constructive political relationship

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Speaker 1: with the business community in a way that doesn't essentially

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Speaker 1: turned business away from one party? Again, it's just not good.

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Speaker 1: It's never good if one party becomes a party of

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Speaker 1: one thing. And you know, it's like, you know, take

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Speaker 1: the issue of Israel. You know the damage that Benjamin

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Speaker 1: meant now, who has done to the pro Israel movement

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Speaker 1: in this country, is just incalculable. But he made it

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Speaker 1: a partisan issue. And the minute you take an issue

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Speaker 1: and turn it into a partisan issue, and you lose

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Speaker 1: all your allies on one side of the aisle because

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Speaker 1: you think, well, I've got more allies on this side

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Speaker 1: of the aisle, so I'm going to punish that party.

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Speaker 1: But over time, not having bipartisan supporters will bite you.

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Speaker 1: And then you know what, at some point, and Israel's

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Speaker 1: cause is being hurt because of what Yahu, how much

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Speaker 1: he's politicized. You know, he got involved in America's politics

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Speaker 1: as leader back during the Obama era, and that really

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Speaker 1: is now doing extraordinary damage to the relationship between the

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Speaker 1: West in general and Israel. So it's it's you know,

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Speaker 1: that's if you're ever wondering what's that's the downside, asked,

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Speaker 1: Look ask the gun rights movement. Right when the NRA

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Speaker 1: cared about being bipartisan, they had a lot more traction,

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Speaker 1: if you will, then when they gave up their decision

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Speaker 1: to be bipartisans. So it is it's all about how

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Speaker 1: devoted are you to your cause? Right, if you really

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Speaker 1: care about your cause, you should fear ever allowing yourself

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Speaker 1: to become to become sort of to side with just

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Speaker 1: one party, it'll eventually actually hurt the cause that you

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Speaker 1: care about. Israel to me is as good of example

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Speaker 1: as any of the point I'm trying to make there.

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Speaker 1: But before we get to my interview with Bradley Tuske,

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Speaker 1: look where I haven't talked, do you sits? The President

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Speaker 1: addressed the nation, and you know, look the way I

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Speaker 1: looked at this address was through the prism. You know,

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Speaker 1: I always look at these things. What are you trying

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Speaker 1: to accomplish? When you ask for time? When you want

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Speaker 1: to address the nation in primetime, presidents are usually doing

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Speaker 1: a couple of things. One Sometimes they're explaining a controversial decision.

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Speaker 1: I remember George W. Bush addressing the nation on his

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Speaker 1: decision about whether the government would fund stem cell research,

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Speaker 1: particularly embryonic stem cell research. Sometimes you're announcing a war,

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Speaker 1: you know, whether it's Iraq. I think some people, thanks

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Speaker 1: to Tucker Carlson rumor MANGERI thought that maybe he was

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Speaker 1: going to address the nation about what his plans were

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Speaker 1: for Venezuela. He did nothing about Venezuela. In fact, I'm

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Speaker 1: not saying I want a primetime address on that, but

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Speaker 1: he is ever made the case for what he's doing,

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Speaker 1: why he's doing it, what the point is all of

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Speaker 1: You know, it has been left to the rest of

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Speaker 1: us to sort of figure out what the agenda is

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Speaker 1: here with Venezuela. And sometimes you're trying to make a

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Speaker 1: case for a political argument. It's rare that the networks

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Speaker 1: will give you that. But the networks will be accommodating

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Speaker 1: if you haven't abused the privilege. And in this case,

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Speaker 1: in fairness to Donald Trump, he hadn't asked for prime

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Speaker 1: time from the networks. I don't think he had asked

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Speaker 1: for it yet, and if he did and was rejected,

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Speaker 1: it hadn't been reported upon. So and you know, I

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Speaker 1: think that he was going to be given some leeway.

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Speaker 1: So it was clear he was trying to fix his

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Speaker 1: politics a little bit, trying to address his bad poll writings,

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Speaker 1: particularly on the economy and in theory. I'm guessing the

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Speaker 1: whole plan about this and Donald Trump sort of as usual.

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Speaker 1: It's weird. He bullshits all the time, but he will

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Speaker 1: tell you the truth when it comes to like optic things.

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Speaker 2: Right.

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Speaker 1: So, after the speech is over, there were people in

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Speaker 1: the room that heard him. Wow, this was a SUSI idea,

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Speaker 1: you know, sort of he sort of admitted that this

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Speaker 1: wasn't his idea. Eighteen minutes is never his idea. You know,

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Speaker 1: it takes him an hour to clear his throat, right,

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Speaker 1: And that's why this speech was I've seen some people

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Speaker 1: describe it as taking a two hour Trump rally speech

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Speaker 1: and trying to turn it into eighteen minutes.

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Speaker 2: It was that.

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Speaker 1: That's not a bad description of what it was, because

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Speaker 1: in some ways it was just you know, it was

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Speaker 1: just it was Trump on speed, right, and it was

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Speaker 1: just rattat tat. Nothing was unfamiliar. If you've ever watched

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Speaker 1: a Trump rally speech or any sort of lengthy period

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Speaker 1: about Trump remarks, he has the crazy straw man arguments.

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Speaker 1: You know, it was the worst inflation in the history

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Speaker 1: of mankind. It was the best this, and it's the

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Speaker 1: best that, and so the worst that, all of which

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Speaker 1: are provably, you know, they're just it makes fact checking him, actually,

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Speaker 1: I think, and possible task, because yes, he does. You know,

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Speaker 1: he doesn't usually say anything that's factually true, but he

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Speaker 1: sometimes says things that are directionally accurate ish, you know,

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Speaker 1: like take gas prices, Yeah they're down, They're not down.

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Speaker 1: The way he said, they were down, but they're down

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Speaker 1: a little bit, okay, And certainly he was helped by

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Speaker 1: the news that the inflation numbers were a little cooler

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Speaker 1: than what was expected. By the way, still over two percent, right,

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Speaker 1: still above the line that the Federal Reserve says is good.

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Speaker 1: We're still sitting And by the way, you know, this

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Speaker 1: was a trap that the Biden administration found themselves in.

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Speaker 1: They say, hey, inflation is lowering. Yeah, but it's not

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Speaker 1: like prices are going down. Prices are still increasing. They're

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Speaker 1: just slowing in the rate of increase. And that's what's happening.

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Speaker 1: Now everything keeps going up. Okay, it's not going up

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Speaker 1: at three percent, but still I'm not only going up

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Speaker 1: two percent. It's now going up closer to three than

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Speaker 1: closer to two. But at least it's under three percent.

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Speaker 1: That is certainly progressed. It also could simply be statistical

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Speaker 1: noise because we had a government shutdown, we had some month,

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Speaker 1: you know, so really, let's let's let's see what the

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Speaker 1: numbers are in two months. That will tell you whether

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Speaker 1: this was a blip or whether this is the beginning

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Speaker 1: of a trend. And somehow the numbers might continue to

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Speaker 1: go down. So I'm going to judge this speech through

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Speaker 1: the prism of what I think what is clear that

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Speaker 1: they were trying to accomplish, which was he was trying

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Speaker 1: to essentially tell voters to give them more time. Hey,

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Speaker 1: things aren't you know, we know you're not happy. But

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Speaker 1: here's what I've done, and here's the progress we expect. Now,

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Speaker 1: he didn't give it to you in that way. Right,

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Speaker 1: he can't admit that things aren't working yet. He has

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Speaker 1: to say they're lying to you or things are so

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Speaker 1: bad it took us forever to turn around. And you

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Speaker 1: know so, I think if the goal was to reassure

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Speaker 1: the public that isn't a part of his political base

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Speaker 1: that things are going to be okay, I think he

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Speaker 1: did a terrible job at that. He instead used the

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Speaker 1: language of his right wing base. Right, it is, it is.

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Speaker 1: If you're addressing the nation, you're you're you're trying to

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Speaker 1: talk to voters you don't normally get to talk to. Right,

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Speaker 1: here's already talking to MAGA plenty. And he may have

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Speaker 1: some issues within his MAGA base that he's got to

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Speaker 1: deal with. There are better ways to deal with that

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Speaker 1: than doing an address to the nation. He'd be better

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Speaker 1: off going on Joe Rogan, he'd be better off talking,

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Speaker 1: you know, directly, you know, doing a sit down with

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Speaker 1: Sean Hannity, or doing a sit down with lor Ingram,

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Speaker 1: which which he's likely My guess is he probably gets

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Speaker 1: one of those in at the beginning of next year

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Speaker 1: in some form or another. But if you're going to

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Speaker 1: address the nation, then you actually need to speak to

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Speaker 1: the voters that are that are not totally tuning you out,

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Speaker 1: but they're never they're not huge fans of yours either,

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Speaker 1: And that's the part where there was just simply no

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Speaker 1: self awareness, and his lack of self awareness I think

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Speaker 1: is sort of ultimately his achilles heel. So he comes

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Speaker 1: comes across bloviating. He's bssing his way through crazy statistics.

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Speaker 1: He's saying things that aren't true easily prove that they

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Speaker 1: aren't true. But in some ways that's not the point.

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Speaker 1: You know, he's trying to make his weak case on

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Speaker 1: the economy look better in comparison, and that's truly the

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Speaker 1: problem he has. To me, he's got two giant issues

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Speaker 1: that are going to haunt Republicans in twenty twenty six.

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Speaker 1: One is healthcare, and you know, this was an opportunity

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Speaker 1: to deal with it, and he didn't do a good

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Speaker 1: job dealing with it. And the second is rising electric

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Speaker 1: bills that actually he made an attempt to deal with

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Speaker 1: better than he did on healthcare. So let me unpack

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Speaker 1: both of those. On healthcare, he you know, he's so

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Speaker 1: fixated on it being a Barack Obama situation. You know

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Speaker 1: that this is Barack Obama's legacy, and so in his head,

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Speaker 1: making that work is somehow him supporting Barack Obama. And

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Speaker 1: he doesn't want to get caught supporting Barack Obama. You know,

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Speaker 1: for a man who's assumes that everybody who doesn't like

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Speaker 1: him has Trump derangement syndrome, he clearly has Obama derangement syndrome.

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Speaker 1: And he has had Obama derangement syndrome. I can tell

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Speaker 1: you the specific moment that he got it. He got

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Speaker 1: it when the Obama White House didn't return his calls

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Speaker 1: on allowing him to take over the state dinner process.

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Speaker 1: This goes back to two thousand and nine. I've discussed

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Speaker 1: this those of you that are longtime listeners of mine,

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Speaker 1: I've discussed this before. It was actually in my Obama

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Speaker 1: book called the Stranger where my favorite chapter is the

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Speaker 1: cha do I write about sort of that that entire

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Speaker 1: sort of Trump burtherism, Bin laden right, that entire White

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Speaker 1: House correspondence weekend, which was the humiliation of Donald Trump

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Speaker 1: by Barack Obama combined with the capture in Killo of

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Speaker 1: Osama Bin laden right, It was just sort of an

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Speaker 1: extraordinary personal moment in some ways political triumph for Barack Obama.

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Speaker 1: But you know, all Trump viewed it as was a

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Speaker 1: personal humiliation, and so in his head, if he makes

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Speaker 1: a government entity work better, but that entity was created

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Speaker 1: by Barack Obama, then then he doesn't want to do it.

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Speaker 1: You know, this is to me one of the worst

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Speaker 1: viruses that's running through our politics right now, but particularly

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Speaker 1: on the Republican side of the aisle, which is they

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Speaker 1: only want to govern for those who support them. When

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Speaker 1: you get elected President of the United States, governor of

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Speaker 1: a state, a congressional representative, you've been asked to represent

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Speaker 1: the entire population. What's in the entire population's best interests

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Speaker 1: you obviously, you know, the good politicians figure out what's

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Speaker 1: in their constituent's best interest and what's politically helpful to them.

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Speaker 1: But he doesn't you know, this is a guy who

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Speaker 1: doesn't want to make government work well for those that

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Speaker 1: he thinks don't support him, so he views it this way.

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Speaker 1: They've had fifth, we're up to now sixteen years to

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Speaker 1: come up with an alternative to the Affordable Care Act.

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Speaker 1: And do recall that it was the Heritage Foundation that

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Speaker 1: provided the framework for the Affordable Care Act. Yes, the

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Speaker 1: same Heritage Foundation that has been turned into this empty

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Speaker 1: vessel of a think tank that is just blindly supporting

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Speaker 1: whatever Donald Trump asked them to support. But there was

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Speaker 1: a time that the Heritage Foundation employed public intellectuals, academics

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Speaker 1: that actually did real research. They had a conservative ideaology,

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Speaker 1: but it was it was out of the Heritage Foundation

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Speaker 1: who wanted to come up with an alternative to Bill

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Speaker 1: Clinton and Hillary Clinton's plans for health care. That essentially

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Speaker 1: created the mandate. The mandate that you know, if you

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Speaker 1: were going to try to at least level out the

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Speaker 1: cost of health insurance, you had to get more people

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Speaker 1: in the pool, including people who are healthier. If you're

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Speaker 1: going to cover those with pre existing conditions and not

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Speaker 1: gouge these people simply because of their genetics, because they

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Speaker 1: were born with something you had to get and you

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Speaker 1: want to and we're going to go with the insurance model, okay,

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Speaker 1: And this is the issue, right, we're going if you

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Speaker 1: want to get the insurance companies out of the equation,

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Speaker 1: then government has to guarantee healthcare. But I don't think

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Speaker 1: the Republican Party is ready to support Medicare for all. Ironically,

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Speaker 1: I think Donald Trump would support Medicare for all. But

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Speaker 1: I don't think even this magnified version of the Republican

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Speaker 1: Party is ready for Medicare for all. But I did

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Speaker 1: think they would be a little more creative in this

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Speaker 1: and perhaps do medicare adopt the buy into Medicare for

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Speaker 1: those fifty plus, which to me, is this simpler way

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Speaker 1: to do the quote public option. The people that are

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Speaker 1: most concerned and worried about the cost of health insurance

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Speaker 1: and access to health insurance are people in their middle

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Speaker 1: ages who are creeping closer to retirement but are nervous, right.

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Speaker 1: They're worried about getting laid off, They're worried about, you know,

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Speaker 1: losing their health insurance through that. So having that safety

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Speaker 1: net of Medicare or having that option to buy into

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Speaker 1: Medicare is pretty It's one of those that it's by

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Speaker 1: the way that that idea pulls super popular. You know,

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Speaker 1: could I I'd love to buy in a medica it is.

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Speaker 1: That's an eighty twenty issue when you set up the

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Speaker 1: idea and it is. You know, there are different ways

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Speaker 1: that I thought Trump was going to just essentially tweak something,

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Speaker 1: slap his name on it, kind of like what he's

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Speaker 1: doing with the Kennedy Center right, Slap his own name

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Speaker 1: on it and say, hey, look it's a brand new healthcare.

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Speaker 1: It's now Trump Care. I think there are Democrats that

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Speaker 1: would have gone along with it as long as he

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Speaker 1: sort of kept the structure in place and was willing

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Speaker 1: to actually improve the infrastructure of the Affordable CARECT and

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Speaker 1: a couple of these ideas could be ones that would

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Speaker 1: have improved it. Having good life insurance is incredibly important.

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Speaker 1: I know from personal experience. I was sixteen when my

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Speaker 1: father passed away. We didn't have any money. He didn't

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Speaker 1: leave us in the best shape. My mother, single mother,

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Speaker 1: now widow, myself sixteen trying to figure out how am

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Speaker 1: I going to pay for college? And lo and behold.

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Speaker 1: My dad had one life insurance policy that we found

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Speaker 1: wasn't a lot, but it was important at the time,

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Speaker 1: and it's why I was able to go to college.

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Speaker 1: Little did he know how important that would be in

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00:22:51,880 --> 00:22:55,440
Speaker 1: that moment. Well guess what. That's why I am here

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Speaker 1: to tell you about Etho's life. They can provide you

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Speaker 1: with peace of mind knowing your family is protected even

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Speaker 1: if the worst comes to pass. Ethos is an online

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Speaker 1: platform that makes getting life insurance fast and easy, all

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Speaker 1: designed to protect your family's future in minutes, not months.

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Speaker 1: There's no complicated process and it's one hundred percent online.

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Speaker 1: There's no medical exam require you just answer a few

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Speaker 1: health questions online. You can get a quote in as

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Speaker 1: little as ten minutes, and you can get same day

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Speaker 1: coverage without ever leaving your home. You can get up

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Speaker 1: to three million dollars in coverage, and some policies start

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Speaker 1: as low as two dollars a day that would be

404
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Speaker 1: billed monthly. As of March twenty twenty five, Business Insider

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Speaker 1: named Ethos the number one no medical exam instant life

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Speaker 1: Get your free quote at ethos dot com slash chuck.

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Speaker 1: So again, that's Ethos dot com slash chuck. Application times

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Speaker 1: may vary, and the rates themselves may vary as well,

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00:23:55,160 --> 00:23:58,040
Speaker 1: but trust me, life insurance is something you should really

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00:23:58,040 --> 00:24:04,359
Speaker 1: think about, especially if you've got a growing family. But

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Speaker 1: he seems to be stuck with a political grievance and

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Speaker 1: his inability to get out of his own way on grievances. Right,

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Speaker 1: we saw it. He humiliated the country with his behavior

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Speaker 1: with what he said about rob Ryan or first in

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Speaker 1: a tweet then doubling down on it. Just just horrendous, disgusting, sick,

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Speaker 1: you name it, all of those things, but it was

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Speaker 1: really just embarrassing, right, nobody. We wouldn't. I don't care

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Speaker 1: how pro Trump you are, you would not accept that

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Speaker 1: behavior from any family member. And I think that, And

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Speaker 1: it's pretty clear there are a lot of people that noticed.

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Speaker 1: There were no there's no normal people defending this. Okay,

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Speaker 1: there is not a single normal conservative defending Donald Trump

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Speaker 1: on this. But he's so consumed, right, this is the

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Speaker 1: part of the narcissism. This is the real question. Does

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Speaker 1: he have the you know, I don't know if he

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Speaker 1: ever had the temperament to be president, But now as

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Speaker 1: he's gotten older with less of a filter, is this

429
00:24:59,080 --> 00:25:02,479
Speaker 1: more of an acute problem? Right, and this you ask like,

430
00:25:02,560 --> 00:25:05,280
Speaker 1: how does this impact the day to day governing? Well,

431
00:25:05,320 --> 00:25:09,399
Speaker 1: he's so consumed with his hatred of Barack Obama that

432
00:25:09,440 --> 00:25:11,320
Speaker 1: he doesn't want to solve the health care problem. And

433
00:25:11,359 --> 00:25:14,880
Speaker 1: he's going to punish people that likely voted for him

434
00:25:15,080 --> 00:25:17,560
Speaker 1: in many places, which is the point Marjorie Taylor Green's

435
00:25:17,560 --> 00:25:20,000
Speaker 1: been making. He's going to punish some of his own

436
00:25:20,080 --> 00:25:23,720
Speaker 1: voters simply because he doesn't want to look like he's

437
00:25:23,800 --> 00:25:28,359
Speaker 1: helping the Affordable Care Act work better. How screwed up

438
00:25:28,440 --> 00:25:28,679
Speaker 1: is that?

439
00:25:28,760 --> 00:25:29,080
Speaker 2: Thinking?

440
00:25:29,400 --> 00:25:33,119
Speaker 1: How have we gotten so far off? You know, we

441
00:25:33,160 --> 00:25:38,159
Speaker 1: have lost the plot on what representative democracy is supposed

442
00:25:38,160 --> 00:25:43,399
Speaker 1: to be. Right, the inability to accept the premise that

443
00:25:43,480 --> 00:25:47,000
Speaker 1: there are some things that have been created in government

444
00:25:47,280 --> 00:25:49,800
Speaker 1: that were the idea of the other party. I know,

445
00:25:49,840 --> 00:25:54,520
Speaker 1: I'm shocked, shocked that this happens. And the idea that

446
00:25:54,720 --> 00:25:59,960
Speaker 1: you're going to punish Americans over a personal political grief,

447
00:26:00,320 --> 00:26:04,880
Speaker 1: which is what he's doing with healthcare, it is, it is.

448
00:26:05,119 --> 00:26:07,960
Speaker 1: It's amazing, And you're going to hear a conversation later

449
00:26:08,000 --> 00:26:10,199
Speaker 1: next week. I just you know, with a with a

450
00:26:10,200 --> 00:26:13,439
Speaker 1: Congression reporter who notes that there is you know, this

451
00:26:13,600 --> 00:26:17,000
Speaker 1: virus is actually there are some Republicans just so angry

452
00:26:17,080 --> 00:26:21,200
Speaker 1: about helping Barack Obama have an accomplishment that to this

453
00:26:21,359 --> 00:26:24,520
Speaker 1: day they don't want to support making this system work

454
00:26:24,560 --> 00:26:29,359
Speaker 1: despite what the country actually wants. Right, is anybody here

455
00:26:29,400 --> 00:26:35,600
Speaker 1: in the game of actually being representative of the constituents

456
00:26:35,640 --> 00:26:38,600
Speaker 1: that sent them here? And I think that that's so.

457
00:26:38,760 --> 00:26:41,560
Speaker 1: I don't think he solved the healthcare problem. His ranting

458
00:26:41,600 --> 00:26:44,960
Speaker 1: and raving about it didn't solve the problem, and so

459
00:26:45,119 --> 00:26:48,639
Speaker 1: I think that he's only set himself up to more problems.

460
00:26:48,680 --> 00:26:52,080
Speaker 1: I think that, you know, most of January, as far

461
00:26:52,119 --> 00:26:55,280
Speaker 1: as domestic conversation in Congress, is going to be consumed

462
00:26:55,320 --> 00:27:02,400
Speaker 1: by this issue of skyrocketing healthcare premium. I fully will

463
00:27:02,400 --> 00:27:04,959
Speaker 1: admit I whiffed on this one. I thought because it

464
00:27:05,000 --> 00:27:07,720
Speaker 1: was Tony Fabrizio, the President's poster, who's been sounding the

465
00:27:07,760 --> 00:27:11,399
Speaker 1: alarm on this healthcare problem. I thought, for sure in

466
00:27:11,560 --> 00:27:14,960
Speaker 1: House Republicans, don't you know, they're not going to go

467
00:27:15,000 --> 00:27:17,480
Speaker 1: out on a limb and do this, a majority of

468
00:27:17,520 --> 00:27:20,560
Speaker 1: them without backing of the president. And he just won't

469
00:27:20,560 --> 00:27:25,800
Speaker 1: do it. Is it is setting him, you know that alone.

470
00:27:25,880 --> 00:27:29,600
Speaker 1: Forget anything else about the economy, anything else about electric

471
00:27:29,680 --> 00:27:34,280
Speaker 1: bills that alone is going to cost him the House

472
00:27:34,800 --> 00:27:37,480
Speaker 1: control of the House. Why do I say that that's

473
00:27:37,520 --> 00:27:41,879
Speaker 1: exactly what happened in twenty eighteen on that exact on

474
00:27:42,000 --> 00:27:45,520
Speaker 1: this exact issue. Now, let me talk about the electric bills.

475
00:27:45,680 --> 00:27:47,600
Speaker 1: I thought at least they made an attempt to say, hey,

476
00:27:47,680 --> 00:27:54,600
Speaker 1: look at all the new energy, the new energy projects

477
00:27:54,600 --> 00:27:57,240
Speaker 1: we have all over the country whose goal is to

478
00:27:57,280 --> 00:27:59,920
Speaker 1: produce for electricity, which over time can bring down the

479
00:28:00,080 --> 00:28:07,040
Speaker 1: cost of electricity. At least they were trying to acknowledge

480
00:28:07,080 --> 00:28:09,200
Speaker 1: a problem that everybody is seeing.

481
00:28:09,320 --> 00:28:09,480
Speaker 2: Right.

482
00:28:09,880 --> 00:28:12,760
Speaker 1: You know, Look, it's easy. It's easy to sit here

483
00:28:12,760 --> 00:28:16,840
Speaker 1: and and troll him on this speech and own him. Look,

484
00:28:16,880 --> 00:28:20,000
Speaker 1: it was a terrible speech. He terrible at reading a teleprompter.

485
00:28:20,359 --> 00:28:23,240
Speaker 1: It was it was. It was not good under any levels.

486
00:28:23,240 --> 00:28:26,280
Speaker 1: But you know, I'm trying to look at it through. Okay,

487
00:28:26,280 --> 00:28:29,040
Speaker 1: what were you trying to accomplish? What were his aides

488
00:28:29,200 --> 00:28:33,760
Speaker 1: hoping he would do? And Lee, I see what they

489
00:28:33,760 --> 00:28:37,200
Speaker 1: were trying to do on the electricity issue. I don't

490
00:28:37,200 --> 00:28:39,440
Speaker 1: think it's going to work. And I think, in fact,

491
00:28:40,280 --> 00:28:43,320
Speaker 1: it is the President getting in bed with big tech

492
00:28:43,400 --> 00:28:47,560
Speaker 1: on AI is going to be an easy dot to

493
00:28:47,600 --> 00:28:50,880
Speaker 1: connect to go to higher electric bills. Hey, he's doing

494
00:28:50,920 --> 00:28:54,200
Speaker 1: this therefore, and it's this is who's doing it. It's

495
00:28:54,280 --> 00:28:57,160
Speaker 1: not creating any new job in your community at all.

496
00:28:57,560 --> 00:28:59,880
Speaker 1: And what's worse is it's all it's doing is ray

497
00:29:00,160 --> 00:29:03,200
Speaker 1: your electric bills. That's going to be a pretty potent

498
00:29:04,080 --> 00:29:07,280
Speaker 1: political argument, you know, it's always you know, a political

499
00:29:07,360 --> 00:29:10,360
Speaker 1: argument becomes more potent when when you've got somebody to

500
00:29:10,400 --> 00:29:14,320
Speaker 1: blame that more than just a partisan would agree that, yeah,

501
00:29:14,360 --> 00:29:18,120
Speaker 1: they have some responsibility there, And it is easy to

502
00:29:18,120 --> 00:29:20,280
Speaker 1: blame big tech for a lot of our problems. People

503
00:29:20,320 --> 00:29:24,640
Speaker 1: are already inclined to be negative on the tech world

504
00:29:24,760 --> 00:29:27,760
Speaker 1: these days because of what they've done to us with

505
00:29:27,840 --> 00:29:29,800
Speaker 1: social media, what they've done to our kids. So there's

506
00:29:30,000 --> 00:29:33,880
Speaker 1: there's like automatically that the tech business world is starting

507
00:29:33,880 --> 00:29:37,680
Speaker 1: with a deficit, and so pointing the finger at these

508
00:29:37,720 --> 00:29:42,040
Speaker 1: AI data centers is going to be it is going

509
00:29:42,080 --> 00:29:45,280
Speaker 1: to be quite believable to the public. In fact, I'll

510
00:29:45,280 --> 00:29:47,600
Speaker 1: be curious that we're already seeing I see metas out

511
00:29:47,640 --> 00:29:51,120
Speaker 1: there with trying to put a positive spin in Hey,

512
00:29:51,200 --> 00:29:54,920
Speaker 1: data centers are going to be good for your community, Okay.

513
00:29:54,680 --> 00:29:57,280
Speaker 2: How it is.

514
00:29:57,600 --> 00:29:58,960
Speaker 1: I think it's going to be. I think it's going

515
00:29:59,000 --> 00:30:01,240
Speaker 1: to be a difficult sales pin to say the least,

516
00:30:01,640 --> 00:30:05,600
Speaker 1: But I will say this, at least they had at

517
00:30:05,680 --> 00:30:09,800
Speaker 1: least they tried on that front. But look, overall, I

518
00:30:09,800 --> 00:30:14,120
Speaker 1: think that speech unfortunately reinforced. Look, if you didn't like Trump,

519
00:30:14,240 --> 00:30:16,680
Speaker 1: nothing in that speech was going to make you empathetic

520
00:30:16,760 --> 00:30:21,720
Speaker 1: or sympathetic. If you love Trump, I wonder how much

521
00:30:21,760 --> 00:30:24,000
Speaker 1: you like that speech. I noticed not a lot of people,

522
00:30:24,320 --> 00:30:27,520
Speaker 1: even as biggest supporters, aren't really supportive of the speech.

523
00:30:27,560 --> 00:30:29,360
Speaker 1: I think they wish he would have performed it better.

524
00:30:29,840 --> 00:30:36,560
Speaker 1: I mean, here's another exercise that you could do. How

525
00:30:36,600 --> 00:30:38,440
Speaker 1: would Jade Vance have delivered that speech?

526
00:30:39,880 --> 00:30:40,040
Speaker 2: Right?

527
00:30:40,440 --> 00:30:43,800
Speaker 1: Whatever you think of jd Vance, he's at least self

528
00:30:43,880 --> 00:30:47,560
Speaker 1: aware and knows how to read a room. And what

529
00:30:47,600 --> 00:30:50,360
Speaker 1: that speech felt like was a president who doesn't realize

530
00:30:50,400 --> 00:30:55,440
Speaker 1: how unpopular he is, doesn't realize how exhausted folks are

531
00:30:55,440 --> 00:31:01,800
Speaker 1: with his antics, and border delusional right about his current

532
00:31:01,800 --> 00:31:06,520
Speaker 1: political standing. He doesn't fully appreciate just you know, I

533
00:31:06,520 --> 00:31:09,480
Speaker 1: think he just you know, like anybody's just blaming well,

534
00:31:09,520 --> 00:31:11,280
Speaker 1: you know, it's going to be the media's fault that

535
00:31:11,320 --> 00:31:13,200
Speaker 1: they're not getting the word out or then it'll soon

536
00:31:13,280 --> 00:31:15,840
Speaker 1: be Congressional Republican's fault for not getting the word out,

537
00:31:15,920 --> 00:31:18,600
Speaker 1: or it'll soon to be some of his aids fault

538
00:31:18,720 --> 00:31:22,320
Speaker 1: for not getting or what not. But bottom line is,

539
00:31:22,400 --> 00:31:26,000
Speaker 1: I think what the speech was intended to do, I

540
00:31:26,000 --> 00:31:27,440
Speaker 1: think it's going to turn out to be an utter

541
00:31:27,480 --> 00:31:30,840
Speaker 1: complete failure. Now, in fairness, let's wait to see does

542
00:31:30,880 --> 00:31:34,520
Speaker 1: the public feel better about about his stewardship of the

543
00:31:34,520 --> 00:31:36,440
Speaker 1: economy in a week or two or are they going

544
00:31:36,480 --> 00:31:39,280
Speaker 1: to feel worse right that? I mean, he was the

545
00:31:39,320 --> 00:31:41,200
Speaker 1: whole point of that was to try to fix what

546
00:31:41,280 --> 00:31:45,240
Speaker 1: are just cratering numbers when it comes to his approval

547
00:31:45,280 --> 00:31:49,040
Speaker 1: rating on the economy, and if I don't think he

548
00:31:49,080 --> 00:31:52,800
Speaker 1: accomplished that task at all. A few other notes before

549
00:31:52,840 --> 00:31:57,400
Speaker 1: we get to my conversation with Bradley Tusk one, uh,

550
00:31:57,960 --> 00:32:00,800
Speaker 1: I just too get interest just to not servation about

551
00:32:00,800 --> 00:32:04,440
Speaker 1: the so called fallout from the Vanity fair piece Susie

552
00:32:04,480 --> 00:32:11,640
Speaker 1: Wiles and those that participated with that sort of deep dive.

553
00:32:12,320 --> 00:32:14,800
Speaker 1: I guess I guess that what Chris Whipple had was

554
00:32:14,800 --> 00:32:16,920
Speaker 1: in agreement to sort of check in, and he was

555
00:32:17,440 --> 00:32:20,240
Speaker 1: good for him that he always always tape your conversations

556
00:32:20,280 --> 00:32:23,200
Speaker 1: with with folks that are going to accuse you of

557
00:32:22,880 --> 00:32:27,120
Speaker 1: of of something not being true. But there were two

558
00:32:27,200 --> 00:32:29,600
Speaker 1: things I took away from sort of the fallout from

559
00:32:29,600 --> 00:32:33,840
Speaker 1: this fallout. One the fact that there was a rally

560
00:32:33,840 --> 00:32:38,520
Speaker 1: around Susie Wiles by sort of key people in the

561
00:32:38,560 --> 00:32:43,720
Speaker 1: administration that are also considered credible with Magaworld and Megamedia,

562
00:32:44,160 --> 00:32:50,200
Speaker 1: including Donald Trump Junior, Donald Trump himself. They didn't there

563
00:32:50,280 --> 00:32:54,880
Speaker 1: was they rallied around her with statements and social media

564
00:32:54,920 --> 00:32:59,040
Speaker 1: support because my guess is they were petrified that Megamedia

565
00:32:59,080 --> 00:33:03,600
Speaker 1: on their own would eviscerate her, would say, hey, she's

566
00:33:03,680 --> 00:33:06,760
Speaker 1: you know, she's she's not a real Trumper, She's not

567
00:33:06,840 --> 00:33:09,200
Speaker 1: real MAGA. And I think that the fact that they

568
00:33:09,240 --> 00:33:11,440
Speaker 1: were worried about it, and the fact that they wanted

569
00:33:11,440 --> 00:33:16,360
Speaker 1: to protect her from Maga media world just eviscerating her,

570
00:33:16,880 --> 00:33:20,360
Speaker 1: I think, does tell you how much credit they give

571
00:33:20,400 --> 00:33:24,520
Speaker 1: to her for resuscitating him politically. And let's remember, nobody

572
00:33:25,040 --> 00:33:27,880
Speaker 1: wanted to work for Donald Trump after January six, not

573
00:33:28,040 --> 00:33:32,600
Speaker 1: a single person. Susie Wilds was the first quote unquote

574
00:33:32,680 --> 00:33:37,040
Speaker 1: establishment person that was willing to do this. Perhaps her

575
00:33:37,080 --> 00:33:40,040
Speaker 1: motivation was to screw around DeSantis. We don't know for sure,

576
00:33:40,440 --> 00:33:45,400
Speaker 1: but either way, it's rare that the Trump show loyalty

577
00:33:45,480 --> 00:33:49,640
Speaker 1: to somebody that needs it, and the fact that that

578
00:33:49,680 --> 00:33:58,160
Speaker 1: family did is interesting and it's noteworthy. Second observation, Susie

579
00:33:58,160 --> 00:34:02,360
Speaker 1: Wiles wants Marco Rubiatovi air apparent. I think it's it's now.

580
00:34:02,480 --> 00:34:04,680
Speaker 1: Part of it is she knows Marco Rubio. She doesn't

581
00:34:04,760 --> 00:34:06,960
Speaker 1: know Jady Vance as well. Right, She's gotten to know JD.

582
00:34:07,120 --> 00:34:10,279
Speaker 1: Vance since the campaign. She's known Marco Rubio because of

583
00:34:10,840 --> 00:34:14,200
Speaker 1: her influence in her work inside the Florida Republican Party.

584
00:34:15,880 --> 00:34:20,000
Speaker 1: And so maybe we shouldn't be surprised, but just look

585
00:34:20,040 --> 00:34:22,680
Speaker 1: at how how she talked about you know, Rubio had

586
00:34:22,719 --> 00:34:25,520
Speaker 1: to get there, meaning, you know, he had to find

587
00:34:25,520 --> 00:34:31,320
Speaker 1: a principled way to become part of Team Trump. Jadie

588
00:34:31,360 --> 00:34:35,640
Speaker 1: Vance is a conspiracy theorist. It's just interesting that if

589
00:34:35,680 --> 00:34:39,919
Speaker 1: you're JD. Vance and you're already a little paranoid, right,

590
00:34:40,080 --> 00:34:42,600
Speaker 1: there's always been a little bit of paranoia. I think

591
00:34:42,600 --> 00:34:47,279
Speaker 1: in that world a little bit I would be I

592
00:34:47,320 --> 00:34:52,160
Speaker 1: would be worried that the president's chief of staff is looking,

593
00:34:52,400 --> 00:34:53,880
Speaker 1: you know, it's going to put her finger on the

594
00:34:53,920 --> 00:34:56,960
Speaker 1: scale to get Marco Rubio in a better position to

595
00:34:57,000 --> 00:35:00,279
Speaker 1: be the air parent than jd Vance Now, so maybe

596
00:35:00,320 --> 00:35:03,000
Speaker 1: that doesn't matter. And who knows if this is a

597
00:35:03,080 --> 00:35:06,440
Speaker 1: nomination worth having by twenty eight because who knows if

598
00:35:06,440 --> 00:35:11,000
Speaker 1: Trump even wants it or anything like that. But it's

599
00:35:11,280 --> 00:35:14,359
Speaker 1: it's sort of like one of the under the undercovered

600
00:35:14,920 --> 00:35:20,120
Speaker 1: pieces of fallout on this vanity fair thing. Is Marco

601
00:35:20,200 --> 00:35:23,839
Speaker 1: Rubio has got an ally in the West Wing? Does

602
00:35:23,960 --> 00:35:27,960
Speaker 1: jd Vance? Just something? Just something to think about, just

603
00:35:27,960 --> 00:35:30,120
Speaker 1: something to ask, just something to do and just something

604
00:35:30,160 --> 00:35:32,200
Speaker 1: to pon her all right, before we get to Bradley

605
00:35:32,239 --> 00:35:36,040
Speaker 1: Teskut to talk about I don't even know what we're

606
00:35:36,280 --> 00:35:42,759
Speaker 1: supposed to think of this the Trump narcissism, right, which

607
00:35:42,800 --> 00:35:46,040
Speaker 1: is this ridiculous walk of fame that he's created and

608
00:35:46,080 --> 00:35:50,040
Speaker 1: now he's got plaques of crazy truth social rants that

609
00:35:50,120 --> 00:35:53,680
Speaker 1: he has said about, you know, whether it's about George W. Bush,

610
00:35:53,800 --> 00:35:59,240
Speaker 1: Barack Obama, Joe Biden, Bill Clinton. I mean, his lack

611
00:35:59,520 --> 00:36:05,400
Speaker 1: of inst in honest American history, in being honest about

612
00:36:05,840 --> 00:36:10,120
Speaker 1: his predecessors is I know, we're not surprised that he

613
00:36:10,160 --> 00:36:12,919
Speaker 1: behaves this way. It's not shocking, but it should be.

614
00:36:13,080 --> 00:36:16,200
Speaker 1: It should bother it should bother you more than just

615
00:36:16,360 --> 00:36:21,200
Speaker 1: that's annoying. And you know, I know a lot of

616
00:36:21,200 --> 00:36:24,120
Speaker 1: folks are conditioned to believe that all politicians are self absorbed.

617
00:36:24,160 --> 00:36:28,200
Speaker 1: At least I know it. With him, you know, we

618
00:36:28,239 --> 00:36:31,440
Speaker 1: can I'm going to use the words of the of

619
00:36:31,560 --> 00:36:34,360
Speaker 1: the current First Lady of the United States, though I

620
00:36:34,360 --> 00:36:36,919
Speaker 1: have no idea whether she really cares or wants that role,

621
00:36:36,960 --> 00:36:40,040
Speaker 1: which is, let's be better. I think she called it

622
00:36:40,040 --> 00:36:42,680
Speaker 1: be best or whatever. Why can't we be better? Why

623
00:36:42,680 --> 00:36:46,799
Speaker 1: can't we demand better? It is it is really sort

624
00:36:46,800 --> 00:36:52,239
Speaker 1: of laughable, right, He's sort of It's both ugly and

625
00:36:52,960 --> 00:36:56,440
Speaker 1: sort of weirdly funny, like that he is so consumed

626
00:36:57,000 --> 00:37:01,320
Speaker 1: with denigrating his predecessors that he actually created a plaque

627
00:37:01,360 --> 00:37:05,799
Speaker 1: with crazy rants of how he describes Obama, how he

628
00:37:05,880 --> 00:37:10,200
Speaker 1: describes Biden, how he describes Bill Clinton, about Bill Clinton's

629
00:37:10,239 --> 00:37:13,080
Speaker 1: plaque is about beating Hillary Clinton in twenty sixteen, Right,

630
00:37:13,120 --> 00:37:16,719
Speaker 1: It's just all of it is sort of you're like, well,

631
00:37:16,760 --> 00:37:18,279
Speaker 1: of course, you know there's I know there's some of

632
00:37:18,320 --> 00:37:20,080
Speaker 1: you going, well, Donald Trump is who he is. We

633
00:37:20,120 --> 00:37:22,600
Speaker 1: know who he is, right in the immortal words of

634
00:37:22,600 --> 00:37:24,719
Speaker 1: the late great Dennis Green, he is who I thought

635
00:37:24,719 --> 00:37:29,840
Speaker 1: he was, and yet he always finds a way to

636
00:37:29,880 --> 00:37:36,239
Speaker 1: be a little uglier, to be a little He just

637
00:37:36,280 --> 00:37:39,160
Speaker 1: doesn't care about the country. He doesn't care about the

638
00:37:39,200 --> 00:37:42,480
Speaker 1: story of America. And that's the part of this. You know,

639
00:37:42,560 --> 00:37:44,080
Speaker 1: I am.

640
00:37:44,440 --> 00:37:45,080
Speaker 2: I have been.

641
00:37:46,719 --> 00:37:50,680
Speaker 1: Attacked for being an institutionalist right by the by the

642
00:37:50,840 --> 00:37:56,400
Speaker 1: hardcore left and the hardcore right at different times, guiltiest charged.

643
00:37:58,120 --> 00:38:03,080
Speaker 1: I you know, I am a I'm a constitutionalist. I

644
00:38:03,120 --> 00:38:06,800
Speaker 1: hold the Founding Fathers in high esteem, even as flawed

645
00:38:06,840 --> 00:38:08,960
Speaker 1: as they were, because they gave us a hell of

646
00:38:08,960 --> 00:38:12,920
Speaker 1: a blueprint to make a more perfect union. And we've

647
00:38:13,080 --> 00:38:16,759
Speaker 1: we That's what I hold in high esteem, our ability

648
00:38:16,800 --> 00:38:19,680
Speaker 1: to evolve, the fact that we've always had these building blocks,

649
00:38:20,600 --> 00:38:25,920
Speaker 1: We've had forty plus presidents who believe in the story

650
00:38:25,960 --> 00:38:29,520
Speaker 1: of America. That it is a you know, to borrow

651
00:38:29,560 --> 00:38:32,160
Speaker 1: the phrase from from Martin Luther King, that they the

652
00:38:32,280 --> 00:38:35,239
Speaker 1: arc of the arc of justice, bench, the arc of history,

653
00:38:35,280 --> 00:38:38,719
Speaker 1: bench towards justice, and that America has sort of been

654
00:38:38,800 --> 00:38:41,560
Speaker 1: on this path. And yes, it's it's not always a

655
00:38:41,600 --> 00:38:44,960
Speaker 1: straight line. We bounce back and forth, and every once

656
00:38:44,960 --> 00:38:46,880
Speaker 1: in a while we even have to take a step backwards.

657
00:38:48,400 --> 00:38:51,640
Speaker 1: But when our when when the president himself doesn't can't

658
00:38:51,640 --> 00:38:55,439
Speaker 1: even you know, accept history as it is and as

659
00:38:55,440 --> 00:39:00,480
Speaker 1: it was. It's just, you know, I I know, in

660
00:39:00,520 --> 00:39:03,120
Speaker 1: some ways it's like, hey, good gets better, bad gets worse.

661
00:39:03,280 --> 00:39:05,799
Speaker 1: You know, in some ways, you know, we kind of

662
00:39:06,520 --> 00:39:11,200
Speaker 1: see this coming. I think he's you know, the filter's

663
00:39:11,239 --> 00:39:14,280
Speaker 1: going away. I think that's pretty clear, you know whatever.

664
00:39:14,480 --> 00:39:16,040
Speaker 1: I'm not saying there was much of a filter there

665
00:39:16,040 --> 00:39:17,239
Speaker 1: in the first term, but there was more in the

666
00:39:17,280 --> 00:39:20,879
Speaker 1: first term than we're seeing now. He is his own

667
00:39:20,920 --> 00:39:25,920
Speaker 1: worst enemy, right, pick your cliche on this, but it's just,

668
00:39:27,080 --> 00:39:30,520
Speaker 1: you know, the fact that he used taxpayer dollars and

669
00:39:30,560 --> 00:39:33,160
Speaker 1: I'm sorry, even if he paid for the plaques, he's

670
00:39:33,280 --> 00:39:35,680
Speaker 1: using people that are being paid by the taxpayers to

671
00:39:36,040 --> 00:39:38,480
Speaker 1: instead of figuring out how to lower the cost of

672
00:39:38,520 --> 00:39:44,560
Speaker 1: health care for you, he's more consumed with creating plaques

673
00:39:45,320 --> 00:39:48,840
Speaker 1: for himself. Because it's not like the general public is

674
00:39:48,880 --> 00:39:53,000
Speaker 1: walking along the White House portico over the paved over

675
00:39:53,160 --> 00:39:56,600
Speaker 1: rose garden by the way that he's turned into a patio. Right,

676
00:39:57,000 --> 00:40:00,960
Speaker 1: and then now the absurdity of the board of directors

677
00:40:00,960 --> 00:40:04,040
Speaker 1: at the Kennedy Center pass a resolution to say we've

678
00:40:04,080 --> 00:40:06,879
Speaker 1: renamed the Kennedy Center, the Trump Kennedy Center. It only

679
00:40:06,920 --> 00:40:09,160
Speaker 1: sort of adds to the ridiculousness that is him.

680
00:40:09,239 --> 00:40:09,399
Speaker 2: Right.

681
00:40:09,680 --> 00:40:12,960
Speaker 1: There are times where I think he is the Onion presidency,

682
00:40:13,320 --> 00:40:16,719
Speaker 1: because you don't know whether you're reading The Onion or

683
00:40:16,719 --> 00:40:19,160
Speaker 1: you're reading the New York Times on any given day,

684
00:40:19,520 --> 00:40:23,600
Speaker 1: and he does so many absurd things. I had somebody

685
00:40:23,719 --> 00:40:27,239
Speaker 1: very recently, good friend of mine, asked me, wait, did

686
00:40:27,320 --> 00:40:30,000
Speaker 1: Trump really pave over the Rose Garden. I said, yeah,

687
00:40:30,000 --> 00:40:30,239
Speaker 1: he did.

688
00:40:30,280 --> 00:40:31,839
Speaker 2: He goes when did he do that?

689
00:40:31,920 --> 00:40:33,759
Speaker 1: And I said it was a few months ago they

690
00:40:33,800 --> 00:40:36,040
Speaker 1: had done that, and all this stuff. It was a

691
00:40:36,080 --> 00:40:40,200
Speaker 1: reminder that I think one a lot of this stuff

692
00:40:40,200 --> 00:40:43,480
Speaker 1: doesn't break through the general public right away, but it

693
00:40:43,520 --> 00:40:47,040
Speaker 1: does eventually. And I don't care where you are politically,

694
00:40:48,080 --> 00:40:52,320
Speaker 1: the fact that our president consistently wants to embarrass other presidents,

695
00:40:52,360 --> 00:40:58,359
Speaker 1: wants to demean dead people, wants to you know, make

696
00:40:58,480 --> 00:41:05,080
Speaker 1: memorials that are about dead presidents about himself is quite

697
00:41:05,120 --> 00:41:08,400
Speaker 1: something and I think it really does offend people. And

698
00:41:08,440 --> 00:41:10,880
Speaker 1: I think there's this middle of the look the end

699
00:41:10,880 --> 00:41:13,200
Speaker 1: of the day, people are going to vote their own

700
00:41:13,640 --> 00:41:16,759
Speaker 1: Most of these swing voters are voting what's in their

701
00:41:16,840 --> 00:41:20,280
Speaker 1: own best interests, okay, And I think ultimately that's politics

702
00:41:20,400 --> 00:41:24,200
Speaker 1: is ninety percent about appealing to that swing voter in

703
00:41:24,280 --> 00:41:28,839
Speaker 1: their best interest rather than in your best interests. But

704
00:41:28,920 --> 00:41:31,640
Speaker 1: this stuff does matter on the margins, and I think

705
00:41:31,640 --> 00:41:35,680
Speaker 1: it demoralizes supporters who have a harder and harder time

706
00:41:35,760 --> 00:41:40,239
Speaker 1: defending his behavior, and it motivates those that are on

707
00:41:40,280 --> 00:41:42,719
Speaker 1: the fence right like, well, I don't like the Democrats

708
00:41:42,719 --> 00:41:44,799
Speaker 1: on this, this, and this, but my god, at least

709
00:41:44,800 --> 00:41:49,560
Speaker 1: they don't do that. I think it does matter, and

710
00:41:49,640 --> 00:41:51,719
Speaker 1: I think it's one of those things. It's like I've

711
00:41:51,760 --> 00:41:53,600
Speaker 1: used this metaphor a lot over the years, which is

712
00:41:55,480 --> 00:41:58,600
Speaker 1: it's like watching a riverbed eroad. If you stand there,

713
00:41:58,640 --> 00:42:01,320
Speaker 1: you don't see it. You come back every six months

714
00:42:01,320 --> 00:42:04,360
Speaker 1: you can really see it. And I think this is

715
00:42:04,400 --> 00:42:08,200
Speaker 1: one of those where why I'm a big fan of

716
00:42:08,280 --> 00:42:12,560
Speaker 1: repeating my favorite Haley barberism, good gets better and bad

717
00:42:12,560 --> 00:42:14,719
Speaker 1: gets worse. And in this case, the president is in

718
00:42:14,760 --> 00:42:18,080
Speaker 1: a bad place and it is only getting worse. And

719
00:42:18,120 --> 00:42:20,399
Speaker 1: as I look, I've been chronicling this for the last

720
00:42:20,400 --> 00:42:22,279
Speaker 1: six weeks. Right, you can go back to the sub

721
00:42:22,320 --> 00:42:24,480
Speaker 1: stack where I said there's cracks in the coalition. This

722
00:42:24,600 --> 00:42:29,320
Speaker 1: is back in September October and pretty much everything that

723
00:42:30,920 --> 00:42:34,160
Speaker 1: I was trying to foreshadow here you're starting to see, right,

724
00:42:34,200 --> 00:42:39,080
Speaker 1: It's like crumble after crumble after crumble after crumble. By

725
00:42:39,080 --> 00:42:40,640
Speaker 1: the way, I do have a fun little dad pun

726
00:42:40,719 --> 00:42:45,480
Speaker 1: for you. You know what is the biggest cause of truth

727
00:42:45,640 --> 00:42:50,880
Speaker 1: decay in the Trump White House plaque? In this case

728
00:42:51,080 --> 00:42:53,560
Speaker 1: these plaques? Do you get it? Do you get it? Sorry?

729
00:42:53,600 --> 00:42:55,719
Speaker 1: I could. I tried it out on a radio hit

730
00:42:55,719 --> 00:42:58,480
Speaker 1: that I do with my friends of Boston and PR So, Marjorie,

731
00:42:58,480 --> 00:43:01,680
Speaker 1: if you're listening, see I'm even ry it with my listeners. Here,

732
00:43:02,400 --> 00:43:06,160
Speaker 1: truth decay, truth decay. Get it? Truth decay? And then

733
00:43:06,200 --> 00:43:10,920
Speaker 1: these bronze plaque right, terrible, right, nothing nothing is you

734
00:43:10,960 --> 00:43:16,480
Speaker 1: know what is bad for truth decay? Then made up plaques?

735
00:43:17,160 --> 00:43:17,560
Speaker 2: Anyway?

736
00:43:18,840 --> 00:43:21,640
Speaker 1: Yeah, I know, grown, grown away and on that. I'm

737
00:43:21,640 --> 00:43:24,200
Speaker 1: gonna sneak in a break and when we come back.

738
00:43:24,239 --> 00:43:27,799
Speaker 1: My conversation about mobile voting? Should we be voting on

739
00:43:27,880 --> 00:43:35,280
Speaker 1: your phones? Bradley Tusk, that's NICs. Do you hate hangovers?

740
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741
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742
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743
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744
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746
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747
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748
00:44:00,920 --> 00:44:04,160
Speaker 1: mindful alternative to a glass of wine or a cocktail.

749
00:44:04,239 --> 00:44:06,560
Speaker 1: And I'll tell you this, I've given up booze. I

750
00:44:06,680 --> 00:44:10,760
Speaker 1: don't like the hangovers. I prefer the gummy experience. Soul

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754
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755
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756
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760
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762
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Speaker 1: toodcast for thirty percent off. My guest today as someone

764
00:44:57,080 --> 00:45:01,000
Speaker 1: who's been at the center of American politics business for

765
00:45:01,040 --> 00:45:03,480
Speaker 1: the better part of a couple of decades, and because

766
00:45:03,640 --> 00:45:06,640
Speaker 1: there's so much happening in the world of business that

767
00:45:06,800 --> 00:45:10,920
Speaker 1: is intersecting with the world of politics, and Washington in

768
00:45:10,960 --> 00:45:16,160
Speaker 1: some ways is becoming an epicenter of business in a

769
00:45:16,200 --> 00:45:19,800
Speaker 1: derivative way, because it's frankly about a whole bunch of

770
00:45:19,840 --> 00:45:22,279
Speaker 1: companies trying to figure out what it takes to keep

771
00:45:22,400 --> 00:45:26,040
Speaker 1: Washington out of their business. But that in itself is

772
00:45:26,080 --> 00:45:29,440
Speaker 1: a big business. So my guest is Bradley Tusk. He's

773
00:45:29,480 --> 00:45:33,200
Speaker 1: a political strategist turned investor. He lives in this world

774
00:45:33,680 --> 00:45:36,280
Speaker 1: in between in a political side. He was the campaign

775
00:45:36,320 --> 00:45:41,160
Speaker 1: manager for Michael Bloomberg. And when Michael Bloomberg decided he

776
00:45:41,200 --> 00:45:43,880
Speaker 1: wanted a third term, which I wonder if in hindsight

777
00:45:43,960 --> 00:45:46,560
Speaker 1: he ever, I want to tell anybody who wants a

778
00:45:46,560 --> 00:45:50,000
Speaker 1: third term, don't do it. Yeah, third terms never go.

779
00:45:50,719 --> 00:45:52,359
Speaker 2: I'm trying. I was trying to sit here and think

780
00:45:52,400 --> 00:45:53,600
Speaker 2: of a good third term.

781
00:45:53,680 --> 00:45:57,840
Speaker 1: There's none, Bradley, there's none. Ask Mario Cuomo whether he

782
00:45:57,840 --> 00:46:00,759
Speaker 1: should have run for a third term. Ask Eduobo whether

783
00:46:00,800 --> 00:46:03,960
Speaker 1: he should have been thinking about a third term. Third term.

784
00:46:03,800 --> 00:46:06,759
Speaker 1: I Tim Walls is running for a third term. I

785
00:46:06,800 --> 00:46:08,759
Speaker 1: want to say, don't do it.

786
00:46:09,200 --> 00:46:10,960
Speaker 2: There's no good.

787
00:46:10,760 --> 00:46:13,839
Speaker 1: That comes from it. If you've if you've succeeded enough

788
00:46:13,880 --> 00:46:16,680
Speaker 1: that a third term is viable, there's nowhere to go

789
00:46:16,719 --> 00:46:17,120
Speaker 1: but down.

790
00:46:17,480 --> 00:46:19,720
Speaker 2: Yeah. I saw a study once it said that after

791
00:46:19,880 --> 00:46:23,080
Speaker 2: seven years, no matter who the chief executive is, people

792
00:46:23,120 --> 00:46:26,040
Speaker 2: are ready to move on. And that's like every tackleo system,

793
00:46:26,160 --> 00:46:30,240
Speaker 2: whether it's a dictator or a mayor or a governor

794
00:46:30,320 --> 00:46:31,000
Speaker 2: or anything else.

795
00:46:31,280 --> 00:46:33,720
Speaker 1: Right, look at our own history. I mean, I'm a believer.

796
00:46:34,360 --> 00:46:35,719
Speaker 1: And this will get to a little bit of our

797
00:46:35,760 --> 00:46:38,759
Speaker 1: conversation here a little bit, but you know, I think

798
00:46:38,800 --> 00:46:41,600
Speaker 1: any Democrat that is still consumed with Trump is sort

799
00:46:41,600 --> 00:46:44,800
Speaker 1: of wasting their time. And I don't mean this. Look Trump,

800
00:46:45,000 --> 00:46:47,279
Speaker 1: there's a lot of things he's doing that that you

801
00:46:47,520 --> 00:46:50,080
Speaker 1: that you may that may impact your life, and you've

802
00:46:50,080 --> 00:46:52,360
Speaker 1: got to care about it. I get it, but I

803
00:46:52,360 --> 00:46:55,160
Speaker 1: don't think he's you know, we're about to have a

804
00:46:55,200 --> 00:46:57,400
Speaker 1: debate about what the post Trump world's going to look like.

805
00:46:57,480 --> 00:46:59,640
Speaker 1: And I got to think people need to be focused

806
00:46:59,640 --> 00:47:02,600
Speaker 1: on that because he's been in our lives for a decade.

807
00:47:03,080 --> 00:47:05,839
Speaker 1: And guess what, nobody ever lasts that long. We're at

808
00:47:05,840 --> 00:47:09,080
Speaker 1: the tail end, right, the Reagan Bush era basically ended

809
00:47:09,080 --> 00:47:12,200
Speaker 1: with the nineteen ninety tax deal, right, you know, Eisenhower

810
00:47:12,280 --> 00:47:16,200
Speaker 1: lasted you know, you know, his era was about a decade, Kennedy,

811
00:47:16,280 --> 00:47:18,759
Speaker 1: Johnson a decade, Nixon even less than that. I mean,

812
00:47:19,080 --> 00:47:21,560
Speaker 1: you know, Obama sort of you know, it just we

813
00:47:21,640 --> 00:47:24,680
Speaker 1: don't we sort of wear out. And if you look

814
00:47:24,719 --> 00:47:27,399
Speaker 1: at the modern air of our presidents going back since

815
00:47:27,400 --> 00:47:31,360
Speaker 1: World War Two, there's a reason that sort of a

816
00:47:31,840 --> 00:47:34,960
Speaker 1: movement sort of petered out right in that eight to

817
00:47:35,040 --> 00:47:37,520
Speaker 1: ten year mark in some form or another. We're ten

818
00:47:37,560 --> 00:47:38,160
Speaker 1: years with Trump.

819
00:47:38,560 --> 00:47:42,520
Speaker 2: Yeah, yeah, man. I think the question is to me,

820
00:47:44,160 --> 00:47:47,560
Speaker 2: the things that he's doing that will go away when

821
00:47:47,560 --> 00:47:50,759
Speaker 2: he goes away, and the things that he's done that

822
00:47:50,840 --> 00:47:54,520
Speaker 2: will last, of which some might prove to be good,

823
00:47:54,600 --> 00:47:56,360
Speaker 2: but a lot of it might prove to be pretty

824
00:47:56,360 --> 00:48:00,440
Speaker 2: harmful long term. The area And maybe this is where

825
00:48:00,600 --> 00:48:02,560
Speaker 2: kind of my perspective from the business side is a

826
00:48:02,600 --> 00:48:06,120
Speaker 2: little different than the typical person in the political world

827
00:48:06,680 --> 00:48:09,840
Speaker 2: is I don't like all of the rule of law stuff,

828
00:48:10,040 --> 00:48:12,839
Speaker 2: but I think that that ends when he ends right.

829
00:48:12,920 --> 00:48:17,160
Speaker 2: That is very much a product of him specifically, Whereas

830
00:48:17,719 --> 00:48:21,120
Speaker 2: some of the steps he's taking around the economy really

831
00:48:21,160 --> 00:48:24,320
Speaker 2: do worry me from a much longer perspective as an investor,

832
00:48:24,840 --> 00:48:28,479
Speaker 2: because if I were China and I said I want

833
00:48:28,480 --> 00:48:31,560
Speaker 2: to put in the Manchurian candidate, and I want to

834
00:48:31,680 --> 00:48:35,800
Speaker 2: undermine the long term strength of the US, our economy,

835
00:48:35,960 --> 00:48:38,160
Speaker 2: one of the things you would really go after. So

836
00:48:38,200 --> 00:48:41,880
Speaker 2: what are the things to me that make our economy unique.

837
00:48:42,640 --> 00:48:46,279
Speaker 2: It's free trade, its intellectual property, it's rule of law,

838
00:48:46,480 --> 00:48:50,680
Speaker 2: it's independent markets, independent data. It is getting the very

839
00:48:50,719 --> 00:48:56,800
Speaker 2: best people through immigration. So a lot of the fundamental

840
00:48:57,080 --> 00:49:00,520
Speaker 2: things that make our economy truly unique. Thing in R

841
00:49:00,560 --> 00:49:04,040
Speaker 2: and D, investing in higher ed, all of that are

842
00:49:04,080 --> 00:49:07,600
Speaker 2: all things that Trump, for whatever reason, has really tried

843
00:49:07,640 --> 00:49:12,520
Speaker 2: to undermine. So I worry more about the impact of

844
00:49:12,640 --> 00:49:16,120
Speaker 2: just taking our strengths and undermining all of them than

845
00:49:16,280 --> 00:49:19,640
Speaker 2: whateverything he has said today that on truth social that

846
00:49:19,680 --> 00:49:21,920
Speaker 2: makes everyone upset. I don't care about that stuff.

847
00:49:22,360 --> 00:49:24,080
Speaker 1: No, I mean, to me, the biggest I've always said

848
00:49:24,080 --> 00:49:26,920
Speaker 1: that there's the presidency. Actually there's three different jobs wrapped

849
00:49:27,000 --> 00:49:31,040
Speaker 1: up in one. You're being elected to lead your party.

850
00:49:32,040 --> 00:49:35,040
Speaker 1: You're being elected to command our armed forces as commander

851
00:49:35,040 --> 00:49:36,960
Speaker 1: in chief, and you're being elected to be leader of

852
00:49:37,000 --> 00:49:40,279
Speaker 1: the free world. And he has chosen not to be

853
00:49:40,360 --> 00:49:45,040
Speaker 1: leader of the free world. And that is something that

854
00:49:45,480 --> 00:49:48,560
Speaker 1: the public doesn't realize is a problem until it's gone.

855
00:49:49,160 --> 00:49:51,600
Speaker 1: It's a very hard in fact, when you tell people

856
00:49:51,640 --> 00:49:53,160
Speaker 1: you want to be leader of the free world. No,

857
00:49:53,560 --> 00:49:55,239
Speaker 1: we don't want that. We don't want to be the

858
00:49:55,239 --> 00:49:57,120
Speaker 1: beat cop. But as I always say, you know, I

859
00:49:57,120 --> 00:49:59,120
Speaker 1: always say when people say I don't want to be

860
00:49:59,160 --> 00:50:01,480
Speaker 1: the world's policeman, and I'm like, yeah, but somebody's going

861
00:50:01,520 --> 00:50:04,000
Speaker 1: to be. Would you rather be us or another country?

862
00:50:05,040 --> 00:50:06,879
Speaker 1: You may not want us to be the world's cop,

863
00:50:07,480 --> 00:50:10,680
Speaker 1: but you're not gonna like it if China is right, which.

864
00:50:10,480 --> 00:50:14,880
Speaker 2: Then how do you explain the other day him sending

865
00:50:15,120 --> 00:50:18,239
Speaker 2: allowing the VIDIA to sell you know, the h two

866
00:50:18,360 --> 00:50:22,840
Speaker 2: hundred GPUs to China? Right like it? There are things

867
00:50:22,880 --> 00:50:25,920
Speaker 2: that I don't get. So for example, he says that,

868
00:50:26,000 --> 00:50:32,919
Speaker 2: and look, if you were a full free trade you know, absolutist, right,

869
00:50:33,320 --> 00:50:36,319
Speaker 2: But then the next day they issue an executive order saying, oh,

870
00:50:36,320 --> 00:50:39,480
Speaker 2: States can't regulate AI because it's a national security issue.

871
00:50:39,920 --> 00:50:42,080
Speaker 2: It can't be an ob security issue if you just

872
00:50:42,120 --> 00:50:45,600
Speaker 2: took the most valuable thing that your biggest rival would

873
00:50:45,640 --> 00:50:47,040
Speaker 2: want and allow the to go to the.

874
00:50:48,600 --> 00:50:50,319
Speaker 1: Well, let's talk about This is actually at the heart

875
00:50:50,320 --> 00:50:53,239
Speaker 1: of the conversation I want to have, which is, you know,

876
00:50:54,760 --> 00:50:58,680
Speaker 1: the business community in general has been frustrated with the

877
00:50:59,719 --> 00:51:04,920
Speaker 1: last two Democratic administrations, sure for too much regula, too

878
00:51:05,000 --> 00:51:11,200
Speaker 1: much regulation, too much red tape, things like this. And

879
00:51:11,280 --> 00:51:15,640
Speaker 1: I get the appeal of, hey, isn't it great that

880
00:51:15,719 --> 00:51:17,920
Speaker 1: you don't have to have an army of lobbyists on

881
00:51:17,960 --> 00:51:20,440
Speaker 1: Capitol Hill. You just have to go into the Oval office,

882
00:51:20,600 --> 00:51:23,759
Speaker 1: write one check or rite you know, or make one

883
00:51:23,840 --> 00:51:27,279
Speaker 1: board seat change whatever. You only have to placate one

884
00:51:27,280 --> 00:51:29,799
Speaker 1: individual as a hell of a lot easier than placating

885
00:51:30,120 --> 00:51:33,320
Speaker 1: you know, thirty members of Congress or ten senators and

886
00:51:33,360 --> 00:51:36,080
Speaker 1: all of that stuff. So I understand the efficiency aspect

887
00:51:36,120 --> 00:51:42,200
Speaker 1: of this, But are we doomed here because business is

888
00:51:42,280 --> 00:51:45,360
Speaker 1: such as an easy relationship right now with Trump's version

889
00:51:45,400 --> 00:51:49,759
Speaker 1: of the Republican Party, that they're now going to expect

890
00:51:49,800 --> 00:51:53,160
Speaker 1: this kind of treatment from all politicians going forward, that

891
00:51:53,239 --> 00:51:55,760
Speaker 1: this is something that we can't put back in the bottle.

892
00:51:56,400 --> 00:52:00,040
Speaker 1: And I, you know, I'm sorry. I don't trust the

893
00:52:00,080 --> 00:52:03,759
Speaker 1: tech industry with AI without guardrails because I saw what

894
00:52:03,800 --> 00:52:07,520
Speaker 1: the tech industry did with social media, which totally destroyed

895
00:52:07,719 --> 00:52:11,480
Speaker 1: our information ecosystem. So, yeah, but this is the world

896
00:52:11,600 --> 00:52:14,560
Speaker 1: you live in, Yeah, and you're navigating, so you tell me.

897
00:52:14,640 --> 00:52:19,000
Speaker 2: So I would say, for me, the efficiency argument probably

898
00:52:19,080 --> 00:52:24,640
Speaker 2: doesn't work because it's too risky and too variable. Right,

899
00:52:24,680 --> 00:52:28,359
Speaker 2: you were dealing just with winning the favor of one

900
00:52:28,800 --> 00:52:32,920
Speaker 2: very mercurial person and who seems to a lot of

901
00:52:32,920 --> 00:52:35,279
Speaker 2: the time agree with the last person he spoke to

902
00:52:35,320 --> 00:52:39,520
Speaker 2: about something, And so I don't like the notion of

903
00:52:39,640 --> 00:52:45,080
Speaker 2: basing an investment strategy or regulatory strategy around that. And

904
00:52:45,160 --> 00:52:49,279
Speaker 2: to me, the right analogy is when I have a

905
00:52:49,320 --> 00:52:51,359
Speaker 2: company that I'm investing in that has some sort of

906
00:52:51,400 --> 00:52:56,120
Speaker 2: new disruptive technology that either where taking on an entrenched

907
00:52:56,200 --> 00:52:59,280
Speaker 2: interest in there's a regulatory fight, or recruiting an entirely

908
00:52:59,440 --> 00:53:04,520
Speaker 2: new type of industry. AI crypto flying cars, whatever, and

909
00:53:04,560 --> 00:53:07,279
Speaker 2: you need to build a regulatory framework. There's often the

910
00:53:07,400 --> 00:53:09,960
Speaker 2: question of do you go federal or do you go state.

911
00:53:10,680 --> 00:53:13,400
Speaker 2: We usually choose to go state by state, which is

912
00:53:13,520 --> 00:53:16,680
Speaker 2: wildly inefficient. Right, we're talking about fifty different bills or

913
00:53:16,680 --> 00:53:18,560
Speaker 2: whatever it is that we rules, whatever it might be

914
00:53:18,600 --> 00:53:22,000
Speaker 2: that we have to create or pass. However, I can

915
00:53:22,040 --> 00:53:27,400
Speaker 2: get outcomes. So in twenty fifteen, the House Energy Subcommittee,

916
00:53:27,400 --> 00:53:32,759
Speaker 2: on a bipartisan basis, passed unanimously legislation to begin the

917
00:53:32,800 --> 00:53:36,800
Speaker 2: regulation of autonomous vehicles. So right now, the US federal

918
00:53:36,840 --> 00:53:40,240
Speaker 2: government has done nothing to figure out how to regulat

919
00:53:40,280 --> 00:53:43,279
Speaker 2: or deal with self driving cars or trucks or anything else.

920
00:53:44,480 --> 00:53:49,360
Speaker 2: The bill passed the subcommittee honesty and has never moved since,

921
00:53:49,880 --> 00:53:53,600
Speaker 2: nor has federal dot issued any sort of rules whatsoever

922
00:53:54,239 --> 00:53:56,440
Speaker 2: as to how this should work.

923
00:53:57,520 --> 00:54:00,400
Speaker 1: This is for presidential administrations.

924
00:53:59,719 --> 00:54:03,680
Speaker 2: Correct, right, and at the same time in states now,

925
00:54:03,719 --> 00:54:06,800
Speaker 2: you can like or not like any individual states rules

926
00:54:06,800 --> 00:54:10,719
Speaker 2: around autonomous vehicles, but they have them right, and you

927
00:54:10,760 --> 00:54:14,439
Speaker 2: can get to an outcome. And even if you don't

928
00:54:14,440 --> 00:54:16,799
Speaker 2: get the president you want in one state, you have

929
00:54:16,840 --> 00:54:19,960
Speaker 2: fifty bytes at the apple. So oftentimes we're looking at

930
00:54:20,000 --> 00:54:23,480
Speaker 2: something and saying, Okay, where do we think is the

931
00:54:23,560 --> 00:54:26,800
Speaker 2: right starting point to launch this thing? Based on partly

932
00:54:26,840 --> 00:54:29,440
Speaker 2: the economics, so the market, you know, and ever early

933
00:54:29,719 --> 00:54:33,160
Speaker 2: starts in California, in New York and Texas, but also

934
00:54:33,640 --> 00:54:36,960
Speaker 2: from a political standpoint, where can we win because you know,

935
00:54:37,160 --> 00:54:39,400
Speaker 2: one of the things that when when I invest in

936
00:54:39,400 --> 00:54:43,000
Speaker 2: an early stage tech startup, I genuinely believe that people

937
00:54:43,040 --> 00:54:45,560
Speaker 2: are going to really like the product or the service

938
00:54:45,719 --> 00:54:48,839
Speaker 2: or otherwise I'm not deploying the capital or make any

939
00:54:48,840 --> 00:54:51,360
Speaker 2: investment in the first place. And so like, for example,

940
00:54:51,440 --> 00:54:53,640
Speaker 2: the very first tech company I ever did was Uber,

941
00:54:54,040 --> 00:54:58,440
Speaker 2: starting in twenty eleven, and my view, which was the

942
00:54:58,480 --> 00:55:02,360
Speaker 2: same as Travis's view, was people are really gonna like this,

943
00:55:03,000 --> 00:55:05,400
Speaker 2: So we just need to get this thing up and

944
00:55:05,520 --> 00:55:09,239
Speaker 2: running wherever we can show people how much better it

945
00:55:09,400 --> 00:55:12,319
Speaker 2: is in the taxi system, and then they will fight

946
00:55:12,480 --> 00:55:14,960
Speaker 2: for it, and in every market where we prove it,

947
00:55:15,160 --> 00:55:17,680
Speaker 2: it gets that much easier in the next market. And

948
00:55:17,800 --> 00:55:19,759
Speaker 2: that basically it was a big fight, and it was

949
00:55:19,800 --> 00:55:21,920
Speaker 2: city by city in that case, but it turned out

950
00:55:21,960 --> 00:55:25,880
Speaker 2: to be right. So I generally think the right strategy

951
00:55:25,960 --> 00:55:29,719
Speaker 2: to legalize most technology actually occurs at the municipal or

952
00:55:29,760 --> 00:55:31,360
Speaker 2: state level, and not in Washington.

953
00:55:31,680 --> 00:55:33,080
Speaker 1: It's always been the ke I mean, look at the

954
00:55:33,840 --> 00:55:38,280
Speaker 1: recreational marijuana movement, the medical marijuana movement, same sex marriage.

955
00:55:38,360 --> 00:55:42,880
Speaker 1: Right we've in some ways to create critical mass to

956
00:55:43,080 --> 00:55:45,640
Speaker 1: convince Congress that hey, you should get involved in this,

957
00:55:46,280 --> 00:55:48,400
Speaker 1: you know, having it emanate. I mean, that's the beauty

958
00:55:48,440 --> 00:55:50,960
Speaker 1: of federalism, right like that, that is supposed to be

959
00:55:51,000 --> 00:55:55,160
Speaker 1: the beauty of the system. Which is why I'm glad

960
00:55:55,200 --> 00:55:59,120
Speaker 1: to see there's bipartisan concern about a moratorium on state

961
00:55:59,200 --> 00:56:04,279
Speaker 1: regulations with it and it it is, you know that

962
00:56:05,040 --> 00:56:07,799
Speaker 1: this is I think this is where if I were,

963
00:56:08,800 --> 00:56:12,840
Speaker 1: if I were in this industry, I wouldn't want this.

964
00:56:13,080 --> 00:56:16,040
Speaker 1: I mean, look at the public right now. The public

965
00:56:16,080 --> 00:56:20,360
Speaker 1: approval ratings of AI are plummeting. Right we are, compared

966
00:56:20,360 --> 00:56:23,120
Speaker 1: to the rest of the world, more dystopian about AI

967
00:56:23,239 --> 00:56:27,359
Speaker 1: than most other civil societies. I would argue that has

968
00:56:27,400 --> 00:56:30,440
Speaker 1: a lot to do with how involved our polarizing president

969
00:56:30,560 --> 00:56:32,640
Speaker 1: is with the industry. I actually think if he were

970
00:56:32,719 --> 00:56:36,359
Speaker 1: less involved, there'd be fewer doom and gloomers about AI.

971
00:56:36,920 --> 00:56:39,600
Speaker 2: With with two caddia, its one is I actually think

972
00:56:39,640 --> 00:56:42,879
Speaker 2: the political tsunami and AI hasn't even hate.

973
00:56:43,640 --> 00:56:45,440
Speaker 1: I agree twenty eight is going to be that. I

974
00:56:45,520 --> 00:56:49,200
Speaker 1: think it's I think the fear I believe the single

975
00:56:49,280 --> 00:56:51,239
Speaker 1: biggest issue in twenty eight, and we'll see it a

976
00:56:51,280 --> 00:56:53,719
Speaker 1: little bit in twenty six, is going to be fear

977
00:56:53,719 --> 00:56:55,120
Speaker 1: of AI displacement, well.

978
00:56:55,120 --> 00:57:00,680
Speaker 2: Displacement our jobs combined with so every data center requires

979
00:57:00,960 --> 00:57:04,360
Speaker 2: so much compute and so much energy that they're expecting

980
00:57:04,400 --> 00:57:07,560
Speaker 2: it to consumption to double. We're certainly that doubling supply,

981
00:57:08,200 --> 00:57:11,560
Speaker 2: which means consumers electric bills are going to skyrocket. We

982
00:57:11,640 --> 00:57:13,640
Speaker 2: already saw a little bit of this in Georgia.

983
00:57:14,680 --> 00:57:18,360
Speaker 1: Virginia, I mean Louden County. Man, you know they were

984
00:57:18,400 --> 00:57:20,760
Speaker 1: making all this money lease and land on data centers.

985
00:57:21,040 --> 00:57:24,720
Speaker 1: It is now like you know, it's a they've declared

986
00:57:24,760 --> 00:57:25,640
Speaker 1: war on data centers.

987
00:57:25,880 --> 00:57:28,360
Speaker 2: I think we're going to see laws passing states this

988
00:57:28,560 --> 00:57:32,640
Speaker 2: year that say that localities cannot issue permits and zoning

989
00:57:32,840 --> 00:57:36,480
Speaker 2: for data centers without proof that there will not be

990
00:57:36,520 --> 00:57:40,400
Speaker 2: a corresponding price increase for consumers and electric bills. And

991
00:57:40,600 --> 00:57:43,320
Speaker 2: so you're right, but we had a world where let's

992
00:57:43,320 --> 00:57:46,920
Speaker 2: say that unemployment and the job numbers today, I think

993
00:57:47,000 --> 00:57:49,560
Speaker 2: further to accept that they were valid. Further, you know,

994
00:57:49,720 --> 00:57:54,000
Speaker 2: support of this thesis that if job displacement keeps going up,

995
00:57:54,080 --> 00:57:57,680
Speaker 2: and unemployment keeps rising and rising gets even potentially double digits,

996
00:57:58,360 --> 00:58:01,920
Speaker 2: and electric prices keep going up, and because of Tariff's

997
00:58:01,920 --> 00:58:04,920
Speaker 2: other consumer prices keep going up, and you know, twenty

998
00:58:04,960 --> 00:58:08,400
Speaker 2: five thirty guys like Sam Altman become trillionaires, but the

999
00:58:08,480 --> 00:58:09,880
Speaker 2: rest of the world's you know, that's of the country

1000
00:58:09,880 --> 00:58:13,400
Speaker 2: city of eighteen percent unemployment, that's the French revolution man.

1001
00:58:13,600 --> 00:58:18,280
Speaker 2: And I don't think either party necessarily understands that or

1002
00:58:18,320 --> 00:58:21,240
Speaker 2: sees it coming. I think one, you know, Trump, in

1003
00:58:21,320 --> 00:58:23,800
Speaker 2: his view is like, doesn't matter. The only goal is

1004
00:58:23,800 --> 00:58:25,400
Speaker 2: to get your hands on as much as you can

1005
00:58:25,560 --> 00:58:28,480
Speaker 2: before you die. So therefore this at least fits with

1006
00:58:28,600 --> 00:58:33,080
Speaker 2: his worldview. Democrats, I don't think have any plan at all.

1007
00:58:33,120 --> 00:58:34,080
Speaker 2: From one I can tell.

1008
00:58:35,480 --> 00:58:37,920
Speaker 1: No, I don't think they do either, and I it

1009
00:58:38,000 --> 00:58:42,880
Speaker 1: strikes me and I'm curious. Look, I take it you're

1010
00:58:42,960 --> 00:58:46,360
Speaker 1: trying to help Democrats be more pro business. Yes, I

1011
00:58:46,440 --> 00:58:49,240
Speaker 1: mean in part because that's how you would describe your

1012
00:58:49,600 --> 00:58:51,720
Speaker 1: you know, your sort of your altruistic goals.

1013
00:58:51,520 --> 00:58:54,840
Speaker 2: Here often times, and I think you know, not counting

1014
00:58:54,880 --> 00:58:56,880
Speaker 2: what I do out of my foundation, which is totally separate.

1015
00:58:56,920 --> 00:59:00,640
Speaker 2: But yeah, and I think oftentimes I feel like and

1016
00:59:01,360 --> 00:59:05,880
Speaker 2: you might appreciate this more than most people. Both sides

1017
00:59:06,240 --> 00:59:09,480
Speaker 2: are so dug in that they miss the underlying point. Right.

1018
00:59:09,560 --> 00:59:12,880
Speaker 2: So you have these Silicon Valley types who are now

1019
00:59:13,080 --> 00:59:16,480
Speaker 2: very powerful Washington A Mark Injuries or someone like that, right,

1020
00:59:16,720 --> 00:59:20,680
Speaker 2: and they hate regulation and their libertarians and that sort

1021
00:59:20,720 --> 00:59:24,680
Speaker 2: of sounds great in theory, no rules, but in reality

1022
00:59:25,080 --> 00:59:28,720
Speaker 2: you can't build multi multi billion dollar industries and the

1023
00:59:28,800 --> 00:59:31,360
Speaker 2: absence of all structure. You need a certain amount of

1024
00:59:31,760 --> 00:59:35,240
Speaker 2: rules and regulation. Crypto, right needs a certain amount of

1025
00:59:35,360 --> 00:59:38,720
Speaker 2: regulation to separate the coin bases of the world, the

1026
00:59:38,800 --> 00:59:41,680
Speaker 2: circles of the world, companies that I've invested in with

1027
00:59:42,160 --> 00:59:44,919
Speaker 2: total scams, right, And because there's a lot of fraud

1028
00:59:44,960 --> 00:59:46,720
Speaker 2: in the crypto world, and there's also a lot of

1029
00:59:47,280 --> 00:59:49,640
Speaker 2: genuine companies that you can decide whether or not buying

1030
00:59:49,680 --> 00:59:52,120
Speaker 2: crypto is a good idea. That's up to the individual.

1031
00:59:52,840 --> 00:59:56,120
Speaker 2: But crypto itself only works because there is some level

1032
00:59:56,160 --> 01:00:01,000
Speaker 2: of regulation that says this exchange is permissible, exchange is

1033
01:00:01,200 --> 01:00:04,280
Speaker 2: not right, So you need that. But then on the

1034
01:00:04,360 --> 01:00:07,880
Speaker 2: other hand, democrats by sort of playing to their extremes

1035
01:00:08,000 --> 01:00:11,480
Speaker 2: that all capitalism and all wealth is inherently corrupt and

1036
01:00:11,600 --> 01:00:15,840
Speaker 2: evil in some way totally missed the point because people

1037
01:00:15,960 --> 01:00:18,960
Speaker 2: need to make a living, and people are aspirational and

1038
01:00:19,080 --> 01:00:22,560
Speaker 2: want to do well, and so just vilifying everyone doesn't

1039
01:00:22,640 --> 01:00:26,760
Speaker 2: work either. And the reality is regulation is neither inherently

1040
01:00:26,880 --> 01:00:30,080
Speaker 2: good nor bad. It's how it's applied. Like, let me

1041
01:00:30,120 --> 01:00:33,440
Speaker 2: give you an example. I was driving once from Santa

1042
01:00:33,480 --> 01:00:36,080
Speaker 2: Barbara to Ally, and I'm going down the Pacific Coast

1043
01:00:36,160 --> 01:00:39,560
Speaker 2: Highway and I'm appreciating how beautiful it is, because you'd

1044
01:00:39,560 --> 01:00:41,240
Speaker 2: have to be something really wrong with you not to

1045
01:00:41,320 --> 01:00:44,080
Speaker 2: do that right. And the thing that hit me was, Okay,

1046
01:00:44,280 --> 01:00:47,680
Speaker 2: what I'm seeing is from my car window the ocean.

1047
01:00:47,880 --> 01:00:51,680
Speaker 2: The reason why is that they are not gas stations

1048
01:00:51,960 --> 01:00:55,400
Speaker 2: and you know, Chipolis and whatever else blocking the view

1049
01:00:55,760 --> 01:00:58,600
Speaker 2: because of regulation. So in that case, I would say

1050
01:00:58,680 --> 01:01:01,360
Speaker 2: a good regulation, and I didn't get to LA and

1051
01:01:01,480 --> 01:01:04,960
Speaker 2: I run into all of these homeless encampments. Now again

1052
01:01:05,320 --> 01:01:08,760
Speaker 2: that's the product of regulation. Bad regulation in that case,

1053
01:01:08,800 --> 01:01:12,320
Speaker 2: those are regulations that make constructing affordable housing way too

1054
01:01:12,360 --> 01:01:15,040
Speaker 2: expensive and difficult, and people don't have anywhere to live

1055
01:01:15,040 --> 01:01:18,880
Speaker 2: as a result. So basically, zoning regulation on the same

1056
01:01:19,000 --> 01:01:22,800
Speaker 2: street right resulted in a net positive at one part

1057
01:01:22,840 --> 01:01:26,080
Speaker 2: of it and negative in the other. And anyone on

1058
01:01:26,240 --> 01:01:29,960
Speaker 2: either side who just declares unilaterally that something is inherently

1059
01:01:30,080 --> 01:01:32,200
Speaker 2: good or bad just doesn't understand what they're talking.

1060
01:01:35,280 --> 01:01:38,320
Speaker 1: There's a reason results matter more than promises, just like

1061
01:01:38,400 --> 01:01:41,480
Speaker 1: there's a reason. Morgan and Morgan is America's largest injury

1062
01:01:41,600 --> 01:01:44,320
Speaker 1: law firm. For the last thirty five years, they've recovered

1063
01:01:44,440 --> 01:01:47,560
Speaker 1: twenty five billion dollars for more than half a million clients.

1064
01:01:48,160 --> 01:01:51,720
Speaker 1: It includes cases where insurance companies offered next to nothing,

1065
01:01:52,040 --> 01:01:54,800
Speaker 1: just hoping to get away with paying as little as possible.

1066
01:01:54,920 --> 01:01:57,919
Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact,

1067
01:01:58,080 --> 01:02:01,120
Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars,

1068
01:02:01,640 --> 01:02:04,640
Speaker 1: which was a staggering forty times the amount that the

1069
01:02:04,720 --> 01:02:07,960
Speaker 1: insurance company originally offered. That original offer six hundred and

1070
01:02:08,000 --> 01:02:11,040
Speaker 1: fifty thousand dollars twenty six million, six hundred and fifty

1071
01:02:11,040 --> 01:02:13,240
Speaker 1: thousand dollars. So with more than one thousand lawyers across

1072
01:02:13,280 --> 01:02:15,680
Speaker 1: the country, they know how to deliver for everyday people.

1073
01:02:15,800 --> 01:02:18,480
Speaker 1: If you're injured, you need a lawyer, You need somebody

1074
01:02:18,520 --> 01:02:21,000
Speaker 1: to get your back, check out for the People dot Com,

1075
01:02:21,120 --> 01:02:26,200
Speaker 1: Slash podcast or Dow Pound Law Pound five to nine

1076
01:02:26,520 --> 01:02:30,000
Speaker 1: Law on your cell phone. And remember all law firms

1077
01:02:30,040 --> 01:02:31,840
Speaker 1: are not the same, So check out Morgan and Morgan.

1078
01:02:31,960 --> 01:02:37,920
Speaker 1: Their fee is free unless they win. You know, it's funny,

1079
01:02:38,800 --> 01:02:42,000
Speaker 1: I keep it feels as if the Democrats are looking

1080
01:02:42,120 --> 01:02:45,560
Speaker 1: for the twenty first century version of Bill Clinton, who

1081
01:02:46,000 --> 01:02:48,680
Speaker 1: was who struck this balance right now. He did it

1082
01:02:48,760 --> 01:02:52,960
Speaker 1: out of necessity. Democrats had lost three straight presidential elections,

1083
01:02:53,200 --> 01:02:56,960
Speaker 1: all of them were blowouts. It was sort of you

1084
01:02:57,160 --> 01:03:00,760
Speaker 1: kind of had to have a Democrat who acknowledged at

1085
01:03:00,840 --> 01:03:03,000
Speaker 1: that point in time. And I have a friend of

1086
01:03:03,040 --> 01:03:05,120
Speaker 1: mine who we argue, is the country center right or

1087
01:03:05,280 --> 01:03:09,200
Speaker 1: the institution center right right? The constitution sort of arguably

1088
01:03:09,320 --> 01:03:12,760
Speaker 1: gives gives the minority a bit. You know, you could

1089
01:03:13,000 --> 01:03:16,480
Speaker 1: our rules give the current structure the right side of

1090
01:03:16,520 --> 01:03:19,200
Speaker 1: the spectrum has more advantages. I could argue fifty years

1091
01:03:19,200 --> 01:03:23,680
Speaker 1: ago that same structure gave sort of the Democrats a

1092
01:03:23,720 --> 01:03:27,160
Speaker 1: little bit more. But at some point that is the

1093
01:03:27,440 --> 01:03:30,400
Speaker 1: structure that we live under. But Bill Clinton sort of,

1094
01:03:31,240 --> 01:03:34,040
Speaker 1: you know, one, hey, we should have a rules based,

1095
01:03:35,480 --> 01:03:39,520
Speaker 1: opportunity focused society, right like, you know, should be fair,

1096
01:03:40,160 --> 01:03:45,560
Speaker 1: equal access and opportunity, and I remember responsibility and opportunity, right,

1097
01:03:45,600 --> 01:03:50,320
Speaker 1: that balance between the two. I guess you know, I

1098
01:03:50,400 --> 01:03:52,600
Speaker 1: could say Obama tried to get that messaging, and he

1099
01:03:52,720 --> 01:03:55,560
Speaker 1: was better about it by twenty eleven, twenty twelve, frankly

1100
01:03:55,600 --> 01:03:58,400
Speaker 1: out of necessity, right he was. He had a tough reelection,

1101
01:03:58,520 --> 01:04:01,720
Speaker 1: and he borrowed more of the Bill Clinton language or

1102
01:04:01,760 --> 01:04:05,000
Speaker 1: the Teddy Roosevelt language of the Square Deal things like that.

1103
01:04:05,600 --> 01:04:10,080
Speaker 1: It seems as if we just haven't found the politician

1104
01:04:10,160 --> 01:04:12,200
Speaker 1: to meet the moment that we're in. I think we

1105
01:04:12,280 --> 01:04:16,320
Speaker 1: all know them. We want to be both aspirational but

1106
01:04:16,480 --> 01:04:18,440
Speaker 1: with a I think we want a stronger safety net,

1107
01:04:18,960 --> 01:04:22,560
Speaker 1: and we haven't figured out how to. Donald Trump said, hey,

1108
01:04:22,600 --> 01:04:25,040
Speaker 1: I can do both, but he couldn't. Right, he doesn't

1109
01:04:25,120 --> 01:04:28,400
Speaker 1: really have the He doesn't really have a political party

1110
01:04:28,440 --> 01:04:33,200
Speaker 1: behind him that actually wants to do both. And I

1111
01:04:33,280 --> 01:04:35,160
Speaker 1: think there are those in the business community that don't

1112
01:04:35,160 --> 01:04:38,480
Speaker 1: believe the left wants to create what you said, a

1113
01:04:38,600 --> 01:04:42,440
Speaker 1: society that allows for wealth. Right, Yes, they want the

1114
01:04:42,480 --> 01:04:46,160
Speaker 1: strong social safety net. So when ultimately what we really

1115
01:04:46,200 --> 01:04:50,200
Speaker 1: want is strong safety net and a realistic path thick

1116
01:04:50,560 --> 01:04:51,120
Speaker 1: and look.

1117
01:04:51,040 --> 01:04:52,520
Speaker 2: It's hard to end the other the day, right, So

1118
01:04:52,720 --> 01:04:56,880
Speaker 2: capitalism as a system, to me, I think almost just

1119
01:04:56,960 --> 01:05:00,480
Speaker 2: incontrovertibly is the greatest system ever created because if you

1120
01:05:00,560 --> 01:05:02,640
Speaker 2: look at the last eighty years since World War Two,

1121
01:05:03,360 --> 01:05:06,880
Speaker 2: three billion people who were living in extreme poverty now

1122
01:05:07,000 --> 01:05:11,200
Speaker 2: have clean drinking water and electricity and less infant mortality

1123
01:05:11,240 --> 01:05:13,920
Speaker 2: and longer life expectancy, in higher literacy, you know, all

1124
01:05:13,960 --> 01:05:16,880
Speaker 2: the status right, So unquestioning, none of that happens without

1125
01:05:16,920 --> 01:05:23,200
Speaker 2: globalization and capitalism. Capitalism on's taken into its full logical extreme,

1126
01:05:23,280 --> 01:05:24,960
Speaker 2: which is kind of what we tend to have here,

1127
01:05:26,680 --> 01:05:29,600
Speaker 2: often results in a lot of unhappiness and a lot

1128
01:05:29,720 --> 01:05:33,080
Speaker 2: of people who are frustrated with the system. Because if

1129
01:05:33,120 --> 01:05:38,160
Speaker 2: the only ultimate goal to be successful and happy is

1130
01:05:38,200 --> 01:05:42,360
Speaker 2: to accumulate as much status and wealth as possible by definition,

1131
01:05:42,480 --> 01:05:44,720
Speaker 2: ninety nine percent of people can't be in the one percent,

1132
01:05:44,800 --> 01:05:48,120
Speaker 2: and those ninety nine percent are upset. So then you

1133
01:05:48,160 --> 01:05:50,280
Speaker 2: look at say, okay, well does Finland or someone have

1134
01:05:50,440 --> 01:05:52,920
Speaker 2: it right, because it's capitalism, but with a much stronger

1135
01:05:53,000 --> 01:05:56,560
Speaker 2: social safety net, Like you said, so yes, people there,

1136
01:05:56,600 --> 01:05:58,800
Speaker 2: if you look at say the World Happiness Report, are

1137
01:05:58,880 --> 01:06:03,240
Speaker 2: exponentially happy because both they feel compelled to need less

1138
01:06:04,000 --> 01:06:07,000
Speaker 2: and they have more on the on the floor. But

1139
01:06:07,880 --> 01:06:09,920
Speaker 2: when you look at the last thirty years or so

1140
01:06:10,200 --> 01:06:12,479
Speaker 2: and look at all of the innovation in the world

1141
01:06:12,560 --> 01:06:15,520
Speaker 2: that has emerged, basically none of it has come from

1142
01:06:15,560 --> 01:06:18,560
Speaker 2: Europe right other than Spotify, and there's not a giant

1143
01:06:18,680 --> 01:06:22,600
Speaker 2: tech company that's been invented. So if you were to say, Okay,

1144
01:06:22,800 --> 01:06:25,480
Speaker 2: the US will be Scandinavia, as the left I think

1145
01:06:25,600 --> 01:06:29,040
Speaker 2: would like to see the case, yes, you will have

1146
01:06:29,160 --> 01:06:32,080
Speaker 2: a higher floor for people, and I believe in that.

1147
01:06:32,600 --> 01:06:35,120
Speaker 2: But at the same time, there is something about our

1148
01:06:35,280 --> 01:06:39,200
Speaker 2: system that is incredibly unique and that encourages the kind

1149
01:06:39,240 --> 01:06:43,160
Speaker 2: of innovation that has lifted the billions of extremely poor

1150
01:06:43,240 --> 01:06:46,200
Speaker 2: people that in theory the lefts you care about the

1151
01:06:46,280 --> 01:06:47,400
Speaker 2: most out of poverty.

1152
01:06:48,240 --> 01:06:50,440
Speaker 1: Well, I do think I'm one of those who believes

1153
01:06:50,480 --> 01:06:54,080
Speaker 1: it's because we're a nation and immigrants that we that

1154
01:06:54,280 --> 01:06:57,360
Speaker 1: if we if we have I think what you're I

1155
01:06:57,480 --> 01:06:59,720
Speaker 1: think we could we would already be Scandinavia if we

1156
01:06:59,760 --> 01:07:04,280
Speaker 1: weren't continuing to have fairly open doors, meaning if we

1157
01:07:04,400 --> 01:07:08,040
Speaker 1: weren't importing more people who want it, who are looking

1158
01:07:08,080 --> 01:07:11,000
Speaker 1: for the American dream, like in some ways third and

1159
01:07:11,120 --> 01:07:14,880
Speaker 1: fourth generation Americans are more satisfied than first and second

1160
01:07:14,920 --> 01:07:15,720
Speaker 1: generation America.

1161
01:07:15,800 --> 01:07:18,840
Speaker 2: So would you say then that, let's say we have

1162
01:07:18,960 --> 01:07:23,960
Speaker 2: so I would argue, weh have exponentially higher legal immigration,

1163
01:07:24,160 --> 01:07:26,880
Speaker 2: right and a perfect world. You know who was set

1164
01:07:26,920 --> 01:07:29,320
Speaker 2: that the quotas the Bureau of Labor Stistics, because they

1165
01:07:29,320 --> 01:07:33,320
Speaker 2: would say, okay, the construction industry has this whole hospitality

1166
01:07:33,360 --> 01:07:34,080
Speaker 2: this by the way.

1167
01:07:34,160 --> 01:07:38,400
Speaker 1: Along with the Social Security Administration, where because we need

1168
01:07:38,520 --> 01:07:40,960
Speaker 1: more new workers to fund Social Security.

1169
01:07:40,880 --> 01:07:43,640
Speaker 2: Correct, right, you need tens of millions potentially of people.

1170
01:07:44,040 --> 01:07:47,080
Speaker 2: And that's not at all exclusive with having strong borders.

1171
01:07:47,240 --> 01:07:50,080
Speaker 2: But the question is if we said we're going to

1172
01:07:50,200 --> 01:07:52,400
Speaker 2: keep bringing in the greatest talent from all over the world,

1173
01:07:52,880 --> 01:07:54,880
Speaker 2: and if we do that, we're always going to have

1174
01:07:55,080 --> 01:07:57,200
Speaker 2: the kind of innovation we need because those are I'm

1175
01:07:57,200 --> 01:07:59,360
Speaker 2: a first generation American and I know I was braised

1176
01:07:59,400 --> 01:08:01,880
Speaker 2: in an immigrant so I know exactly what this is like, right.

1177
01:08:01,880 --> 01:08:04,760
Speaker 1: Right, It's always like you were I mean education. First look,

1178
01:08:04,800 --> 01:08:08,240
Speaker 1: I grew up in Miami, an immigrant community where it

1179
01:08:08,400 --> 01:08:11,720
Speaker 1: was just you felt it all around everybody in that community,

1180
01:08:11,760 --> 01:08:15,640
Speaker 1: even frankly, even the domestic you know, even those second

1181
01:08:15,720 --> 01:08:19,760
Speaker 1: third generation Americans like myself. You moved to Miami for opportunity.

1182
01:08:20,120 --> 01:08:22,680
Speaker 1: Nobody was a native of there. You were there for opportunities.

1183
01:08:22,720 --> 01:08:25,920
Speaker 1: So it had an immigrant's mentality, which means they were hustlers.

1184
01:08:25,920 --> 01:08:29,040
Speaker 2: Everybody hustled. So let's say that we really increase that,

1185
01:08:29,400 --> 01:08:31,240
Speaker 2: which again does not in any way have to me

1186
01:08:31,360 --> 01:08:31,920
Speaker 2: not having.

1187
01:08:31,800 --> 01:08:32,599
Speaker 1: Strong border security.

1188
01:08:32,600 --> 01:08:34,479
Speaker 2: They're not mutually exclusive at all. But let's say that

1189
01:08:34,560 --> 01:08:37,599
Speaker 2: we said we are going to radically increase legal immigration

1190
01:08:37,840 --> 01:08:40,080
Speaker 2: so that the people who are the hustlers are constantly

1191
01:08:40,160 --> 01:08:43,840
Speaker 2: coming in. If you did that, could you have the

1192
01:08:44,040 --> 01:08:48,280
Speaker 2: kind of social safety net that Scandinavia has without deterring

1193
01:08:48,720 --> 01:08:52,680
Speaker 2: the innovation that America has because that combination of the

1194
01:08:52,840 --> 01:08:56,280
Speaker 2: new people constantly coming in takes care of that problem.

1195
01:08:57,920 --> 01:08:59,720
Speaker 1: Well, it depends on when you make them eligible for

1196
01:08:59,760 --> 01:09:03,240
Speaker 1: the same fafty net. Now, right, Oh, fair point, And

1197
01:09:03,320 --> 01:09:07,240
Speaker 1: I think you and I think this is what I'm

1198
01:09:07,439 --> 01:09:10,040
Speaker 1: what we're talking about here. Some people would say is heartless.

1199
01:09:10,080 --> 01:09:11,760
Speaker 1: What do you mean you wouldn't make the safety net

1200
01:09:11,880 --> 01:09:16,160
Speaker 1: available for the immediate first gen family at the same

1201
01:09:16,240 --> 01:09:18,400
Speaker 1: you know, But I think that would be a debate,

1202
01:09:18,720 --> 01:09:20,960
Speaker 1: and I think that's a fair political debate. To have

1203
01:09:21,200 --> 01:09:25,840
Speaker 1: is when should somebody be eligible for the social safety

1204
01:09:25,880 --> 01:09:27,680
Speaker 1: net in the United States. You know, you certainly need

1205
01:09:27,760 --> 01:09:30,040
Speaker 1: to become a citizen, right, I think that that's a

1206
01:09:30,160 --> 01:09:32,320
Speaker 1: fair that's a fair bar. You have to do the

1207
01:09:32,439 --> 01:09:34,720
Speaker 1: work to be a citizen. You have to probb. Now,

1208
01:09:34,720 --> 01:09:36,720
Speaker 1: I'll tell you this. I remember this great George W.

1209
01:09:36,840 --> 01:09:39,160
Speaker 1: Bush quote when he used to talk about people coming

1210
01:09:39,160 --> 01:09:41,320
Speaker 1: over there. He goes, anybody that's going to go over

1211
01:09:41,960 --> 01:09:46,879
Speaker 1: is going to fight the environmental elements to get across

1212
01:09:46,960 --> 01:09:50,160
Speaker 1: the Rio Grande River. I want them in America. Yeah,

1213
01:09:50,160 --> 01:09:51,400
Speaker 1: because they're going to be great workers.

1214
01:09:51,640 --> 01:09:56,120
Speaker 2: Yeah, that's totally well. Look, do you remember when Eric

1215
01:09:56,240 --> 01:09:59,599
Speaker 2: Adams All these migrant showed up in New York City

1216
01:10:00,120 --> 01:10:03,360
Speaker 2: and Eric Adams made the decision that New York City

1217
01:10:03,400 --> 01:10:07,000
Speaker 2: would house and feed everyone. Even though I am wildly

1218
01:10:07,080 --> 01:10:10,080
Speaker 2: promegration and a first generation American, I thought that was

1219
01:10:10,280 --> 01:10:13,200
Speaker 2: crazy for two reasons. One, city didn't have the money

1220
01:10:13,240 --> 01:10:15,680
Speaker 2: to do that. It came to the expense of sanitation

1221
01:10:15,840 --> 01:10:21,040
Speaker 2: and police and schools and everything else. But two, my family,

1222
01:10:21,400 --> 01:10:24,760
Speaker 2: your family. You know, millions of families have come here,

1223
01:10:24,920 --> 01:10:27,519
Speaker 2: and what they're asking for is not free housing or

1224
01:10:27,560 --> 01:10:30,720
Speaker 2: free food. What they're asking for is the opportunity to

1225
01:10:30,880 --> 01:10:33,639
Speaker 2: work and to make a living. And I don't think

1226
01:10:33,680 --> 01:10:35,880
Speaker 2: you needed to provide that, because I think people would

1227
01:10:35,920 --> 01:10:38,400
Speaker 2: have gone to where the jobs were. Some might be

1228
01:10:38,439 --> 01:10:39,920
Speaker 2: in New York City, a lot might be at me

1229
01:10:40,040 --> 01:10:43,360
Speaker 2: packing plants and iore or something like that. That's fine, right,

1230
01:10:44,439 --> 01:10:46,680
Speaker 2: But I don't think you even necessarily need to at

1231
01:10:46,720 --> 01:10:50,040
Speaker 2: the beginning, because the truth is, most immigrants just want

1232
01:10:50,120 --> 01:10:52,920
Speaker 2: to work, and the economy has a lot of holes

1233
01:10:53,360 --> 01:10:55,320
Speaker 2: of jobs that are needed to be filled that most

1234
01:10:55,360 --> 01:10:57,680
Speaker 2: Americans don't want to do. And so I think the

1235
01:10:57,800 --> 01:11:00,800
Speaker 2: problem kind of solves itself if you just let it happen.

1236
01:11:01,920 --> 01:11:03,880
Speaker 1: No, I mean, it's by the way, it's been true

1237
01:11:03,880 --> 01:11:08,640
Speaker 1: if you fought, you know before, if you look at

1238
01:11:08,720 --> 01:11:12,840
Speaker 1: the immigration patterns at the border pre say twenty fifteen, okay,

1239
01:11:12,960 --> 01:11:16,519
Speaker 1: and we've we've had some different surges for different reasons,

1240
01:11:16,560 --> 01:11:19,439
Speaker 1: I would argue since then, but it usually went if

1241
01:11:19,600 --> 01:11:22,160
Speaker 1: we had a lot of ope. But if our economy

1242
01:11:22,240 --> 01:11:24,720
Speaker 1: was humming, there were more people at the border. If

1243
01:11:24,760 --> 01:11:27,479
Speaker 1: our economy wasn't humming, there were fewer people at the border.

1244
01:11:27,960 --> 01:11:30,439
Speaker 1: I mean, you know, if you thought you could find

1245
01:11:30,479 --> 01:11:32,679
Speaker 1: work in the United states. You came if you didn't

1246
01:11:32,720 --> 01:11:34,720
Speaker 1: think you could find work, you weren't going to risk

1247
01:11:34,760 --> 01:11:35,280
Speaker 1: your life to.

1248
01:11:35,320 --> 01:11:38,599
Speaker 2: Come, right, right, Yeah, I think that that's I think

1249
01:11:38,680 --> 01:11:41,519
Speaker 2: that that's right, and I think I mean, it seems

1250
01:11:41,720 --> 01:11:45,719
Speaker 2: like it's a puzzle, right, which is, if you accept

1251
01:11:46,120 --> 01:11:50,400
Speaker 2: that most people want others to do well right now,

1252
01:11:50,640 --> 01:11:53,120
Speaker 2: some of us have easier some mentality were literally we

1253
01:11:53,240 --> 01:11:55,679
Speaker 2: believe that if you win, that means that I lose,

1254
01:11:55,760 --> 01:11:58,559
Speaker 2: and I think the President has that mentality quite frankly.

1255
01:11:58,920 --> 01:12:03,920
Speaker 2: But overall, what we're really talking about is enough resources,

1256
01:12:04,360 --> 01:12:08,000
Speaker 2: enough of a social stify, and enough opportunity and balancing

1257
01:12:08,080 --> 01:12:10,719
Speaker 2: it so that it's fair so that people aren't starving,

1258
01:12:10,960 --> 01:12:12,759
Speaker 2: and yet we are still innovating and creating.

1259
01:12:13,439 --> 01:12:16,160
Speaker 1: So let me go back to sort of the premise

1260
01:12:16,240 --> 01:12:18,680
Speaker 1: that I that I really want you to deal with,

1261
01:12:18,880 --> 01:12:23,600
Speaker 1: which is, is the business community going to see the

1262
01:12:23,880 --> 01:12:27,000
Speaker 1: Trump way of doing things and not want a risk

1263
01:12:27,080 --> 01:12:30,360
Speaker 1: of going back. And basically, look, you brought up crypto.

1264
01:12:31,840 --> 01:12:35,280
Speaker 1: Whatever you think of crypto, the industry decided, hey man,

1265
01:12:35,320 --> 01:12:37,960
Speaker 1: we're tired of waiting to convince the left on this.

1266
01:12:38,479 --> 01:12:44,599
Speaker 1: We're just going to buy supporters, right. You know, Look,

1267
01:12:44,640 --> 01:12:46,560
Speaker 1: they're not the first industry to decide to do that.

1268
01:12:47,320 --> 01:12:49,920
Speaker 1: But it was kind of it's kind of gross just

1269
01:12:50,040 --> 01:12:52,240
Speaker 1: looking at it from my perspective.

1270
01:12:51,760 --> 01:12:52,960
Speaker 2: You're like, sure, I don't.

1271
01:12:53,240 --> 01:12:56,920
Speaker 1: We're not making We didn't create that Genius Act didn't

1272
01:12:57,320 --> 01:12:58,880
Speaker 1: pass because we thought it was a good idea. It

1273
01:12:59,000 --> 01:13:04,599
Speaker 1: passed because they bought enough politicians. I could argue, okay,

1274
01:13:04,640 --> 01:13:06,720
Speaker 1: and we can we can have a we can, we can.

1275
01:13:07,680 --> 01:13:13,680
Speaker 1: You know, I I am pro blockchain, less convinced on

1276
01:13:13,800 --> 01:13:18,599
Speaker 1: the value of of of of the of the coins themselves,

1277
01:13:18,680 --> 01:13:22,240
Speaker 1: but I accept the pre tokenization. I get right like

1278
01:13:22,400 --> 01:13:25,040
Speaker 1: I'm I find myself. I'm in I'm in the middle

1279
01:13:25,080 --> 01:13:28,120
Speaker 1: on this. I worry that it's a it's a the

1280
01:13:28,280 --> 01:13:30,920
Speaker 1: value scam on one hand, that get rich quick scheme

1281
01:13:31,000 --> 01:13:34,640
Speaker 1: part of it, versus the blockchain and and all of that,

1282
01:13:34,760 --> 01:13:38,800
Speaker 1: which is a different type of technology. But but if

1283
01:13:38,880 --> 01:13:42,040
Speaker 1: I look at if I'm an upstart industry in any sort,

1284
01:13:42,080 --> 01:13:44,680
Speaker 1: and I look at what crypto pulled off, why do

1285
01:13:44,800 --> 01:13:48,479
Speaker 1: I want to risk a the other party coming in,

1286
01:13:48,640 --> 01:13:50,200
Speaker 1: who is just at the end of the day going

1287
01:13:50,280 --> 01:13:51,280
Speaker 1: to be more bureaucratic.

1288
01:13:51,920 --> 01:13:55,200
Speaker 2: Yeah, well, but flipping around depends on the industry, right,

1289
01:13:55,240 --> 01:13:59,000
Speaker 2: So if you are the solar and wind energy industry,

1290
01:13:59,280 --> 01:14:01,960
Speaker 2: you feel exactly the opposite. Right, You felt like under

1291
01:14:02,040 --> 01:14:05,680
Speaker 2: the Democrats you had the kind of regulatory structure, the

1292
01:14:05,760 --> 01:14:08,160
Speaker 2: kind of tax credits, the grants, everything else that you

1293
01:14:08,479 --> 01:14:11,560
Speaker 2: wanted and needed, and Trump came away and came in

1294
01:14:11,640 --> 01:14:12,760
Speaker 2: and through the big viewer. I hear you.

1295
01:14:12,880 --> 01:14:15,680
Speaker 1: But should any industry be basically at the whims of

1296
01:14:15,760 --> 01:14:16,599
Speaker 1: which party wins?

1297
01:14:17,640 --> 01:14:20,800
Speaker 2: I mean, to a certain extent, that is the point

1298
01:14:20,880 --> 01:14:24,880
Speaker 2: of democracy, right, I think the bigger question really becomes

1299
01:14:25,520 --> 01:14:29,320
Speaker 2: who's making the decisions? And to me, the real problem

1300
01:14:29,439 --> 01:14:32,560
Speaker 2: is a structure one in that if you accept that

1301
01:14:32,920 --> 01:14:36,639
Speaker 2: in a world of gerrymandering, only the primary matters ninety

1302
01:14:36,680 --> 01:14:38,960
Speaker 2: plus percent of the time, and Stat's proved that out.

1303
01:14:39,360 --> 01:14:41,519
Speaker 2: And if you look at primary turnout, which is typically

1304
01:14:41,560 --> 01:14:45,240
Speaker 2: about ten to fifteen percent, and those voters are typically

1305
01:14:45,280 --> 01:14:47,800
Speaker 2: the extremes, either the far right or the far left,

1306
01:14:48,160 --> 01:14:50,280
Speaker 2: or different special interests that can move money and votes,

1307
01:14:50,320 --> 01:14:53,200
Speaker 2: whether it's fair shake doing crypto or the teachers' unions

1308
01:14:53,280 --> 01:14:56,000
Speaker 2: or whoever it might be. And if you accept that

1309
01:14:56,080 --> 01:14:59,280
Speaker 2: politicians will always do whatever it takes to get re elected,

1310
01:14:59,760 --> 01:15:02,680
Speaker 2: then by definition they're governing for that ten percent on

1311
01:15:02,760 --> 01:15:05,760
Speaker 2: each side to the exclusion of everyone else. And I

1312
01:15:05,840 --> 01:15:08,920
Speaker 2: actually think, and you know, if you sat most people down,

1313
01:15:09,479 --> 01:15:11,600
Speaker 2: you could get eighty percent of people to agree on

1314
01:15:11,720 --> 01:15:14,560
Speaker 2: a framework to solve almost every single problem we have.

1315
01:15:15,360 --> 01:15:18,720
Speaker 2: But those people don't vote in primary, so they're disenfranchised.

1316
01:15:18,720 --> 01:15:21,720
Speaker 2: So one thing that I've been trying to do with

1317
01:15:22,080 --> 01:15:24,880
Speaker 2: you know, I didn't I didn't grow up a lot

1318
01:15:24,880 --> 01:15:27,040
Speaker 2: of money. I worked in government, I didn't make much money.

1319
01:15:27,560 --> 01:15:29,439
Speaker 2: Then I went into tack and I did pretty well,

1320
01:15:29,640 --> 01:15:32,200
Speaker 2: And so I've been given it away is to try

1321
01:15:32,280 --> 01:15:35,360
Speaker 2: to make mobile voting happen, because to me, you're only

1322
01:15:35,439 --> 01:15:38,120
Speaker 2: going to get primary turnout from ten to say thirty

1323
01:15:38,240 --> 01:15:41,160
Speaker 2: or forty by meeting the people where they are. Will

1324
01:15:41,200 --> 01:15:43,439
Speaker 2: people take off from work and line up to vote

1325
01:15:43,439 --> 01:15:46,320
Speaker 2: for president, Yes, But will they do that for city council,

1326
01:15:46,400 --> 01:15:49,920
Speaker 2: state rep, state Senate. No, they don't. And as a result,

1327
01:15:49,960 --> 01:15:53,080
Speaker 2: and that's probably even congressional primaries have a ten percent primary,

1328
01:15:53,080 --> 01:15:57,000
Speaker 2: you know, ten percent turnout, right, So, and yet close

1329
01:15:57,040 --> 01:15:59,160
Speaker 2: to one hundred percent of us have phones. We live

1330
01:15:59,240 --> 01:16:01,559
Speaker 2: our lives on our phones, are banking, our healthcare, our

1331
01:16:01,600 --> 01:16:04,240
Speaker 2: love lives, all this other stuff. And if we were

1332
01:16:04,320 --> 01:16:07,000
Speaker 2: able to allow people to vote securely on their phones.

1333
01:16:07,479 --> 01:16:09,839
Speaker 2: We could get turned out from ten to say, thirty,

1334
01:16:09,960 --> 01:16:12,080
Speaker 2: and then all of a sudden, I'm not sure that

1335
01:16:12,160 --> 01:16:15,160
Speaker 2: any one industry is at much risk of the whims

1336
01:16:15,240 --> 01:16:19,000
Speaker 2: of a party because it's not being decided just by

1337
01:16:19,040 --> 01:16:21,759
Speaker 2: the extremes that either hate Crypto or hate Grant Energy

1338
01:16:21,840 --> 01:16:22,479
Speaker 2: or whatever it is.

1339
01:16:23,000 --> 01:16:25,800
Speaker 1: Well, I just had somebody on as a guest who's

1340
01:16:25,920 --> 01:16:28,640
Speaker 1: been advocating getting rid of partisan primaries, and I kind

1341
01:16:28,680 --> 01:16:32,960
Speaker 1: of think that it's pretty clear it is. I put

1342
01:16:33,000 --> 01:16:36,120
Speaker 1: it this way, I don't see how a taxpayer funded

1343
01:16:36,200 --> 01:16:41,200
Speaker 1: primary is constitutional. The idea that I think it's actually

1344
01:16:41,240 --> 01:16:41,960
Speaker 1: a poll tax.

1345
01:16:42,320 --> 01:16:42,439
Speaker 2: Right.

1346
01:16:42,760 --> 01:16:44,240
Speaker 1: If I tell you the only way you could to

1347
01:16:44,240 --> 01:16:47,559
Speaker 1: participate in this primary is you join a private club, right,

1348
01:16:47,800 --> 01:16:51,240
Speaker 1: and you could participate in this taxpayer funded election. That's

1349
01:16:51,439 --> 01:16:54,640
Speaker 1: that seems you know, give, where the where are my

1350
01:16:54,680 --> 01:16:55,640
Speaker 1: goddamn lawyers here?

1351
01:16:55,760 --> 01:16:58,040
Speaker 2: Come on, I'm an independent living in New York City

1352
01:16:58,080 --> 01:16:59,200
Speaker 2: and my vote does not count.

1353
01:16:59,600 --> 01:17:02,599
Speaker 1: Well, that's just that doesn't make It's like, what are

1354
01:17:02,600 --> 01:17:05,879
Speaker 1: we doing, especially when you look at this youngest generation

1355
01:17:06,720 --> 01:17:09,519
Speaker 1: and they're registering as independent or no party at a

1356
01:17:09,560 --> 01:17:11,519
Speaker 1: greater rate than either of the two major parties, So

1357
01:17:12,080 --> 01:17:17,040
Speaker 1: I do think this might actually fix itself, meaning a

1358
01:17:17,160 --> 01:17:21,800
Speaker 1: majority of people plurality would prefer a non party you know,

1359
01:17:22,200 --> 01:17:24,559
Speaker 1: sort of, Hey, I want to I want to decide, right,

1360
01:17:24,680 --> 01:17:29,160
Speaker 1: we're we're actually all libertarian, you know, the whole idea

1361
01:17:29,160 --> 01:17:31,960
Speaker 1: of America's libertarian. You know, I would, I would, I

1362
01:17:31,960 --> 01:17:36,120
Speaker 1: would argue. So I think we're getting there. But on

1363
01:17:36,280 --> 01:17:42,600
Speaker 1: mobile voting, you know, when you look at mobile technology

1364
01:17:42,680 --> 01:17:46,280
Speaker 1: through the prism of our banking system, yep, it's really

1365
01:17:46,360 --> 01:17:50,880
Speaker 1: secure right now. The times that it's not, Like, there's

1366
01:17:50,920 --> 01:17:52,960
Speaker 1: nothing I hate more than when a credit card company

1367
01:17:53,040 --> 01:17:55,760
Speaker 1: tells me, hey, you've got to change your number. We're

1368
01:17:55,800 --> 01:17:57,040
Speaker 1: doing this for your purposes.

1369
01:17:57,160 --> 01:17:57,560
Speaker 2: No, you're not.

1370
01:17:57,800 --> 01:17:59,960
Speaker 1: You're doing it for your person. Like I just hate

1371
01:18:00,120 --> 01:18:02,800
Speaker 1: being lied to about that. Like it's like no, no, no, no.

1372
01:18:03,520 --> 01:18:06,280
Speaker 1: And I even tell them, stop reading your script. You're

1373
01:18:06,320 --> 01:18:07,920
Speaker 1: not doing it for my benefit. You're doing it for

1374
01:18:08,000 --> 01:18:11,960
Speaker 1: your benefit. But let's you know, let's figure this out.

1375
01:18:14,000 --> 01:18:16,080
Speaker 1: You have a You're going to have a hard time

1376
01:18:16,240 --> 01:18:22,439
Speaker 1: convincing the public that because cyber criminal activity exists when

1377
01:18:22,479 --> 01:18:25,879
Speaker 1: it comes to scamming people out of crypto or scamming

1378
01:18:25,960 --> 01:18:30,640
Speaker 1: people based on you know, a text message they get

1379
01:18:30,680 --> 01:18:33,720
Speaker 1: and they click the wrong link, that they're going to

1380
01:18:33,760 --> 01:18:38,559
Speaker 1: have a hard time believing that the voting is going

1381
01:18:38,600 --> 01:18:40,920
Speaker 1: to be secure. Yeah, I mean, I just think psychic

1382
01:18:41,479 --> 01:18:42,000
Speaker 1: the psyche.

1383
01:18:42,720 --> 01:18:45,680
Speaker 2: Yeah, I mean, that's right. The polling doesn't quite show that.

1384
01:18:45,800 --> 01:18:50,600
Speaker 2: What's interesting is so before twenty twenty, we polled nationally

1385
01:18:51,000 --> 01:18:54,960
Speaker 2: and about seventy five percent of Republicans, Democrats, independence all said,

1386
01:18:55,439 --> 01:18:57,880
Speaker 2: if mobile voting is secure, of course we should have it.

1387
01:18:58,200 --> 01:19:01,680
Speaker 2: Right after twenty twenty, we pulled again, stayed in the

1388
01:19:01,760 --> 01:19:05,120
Speaker 2: mid seventies with independents and Democrats fell to the forties

1389
01:19:05,160 --> 01:19:07,800
Speaker 2: with Republicans because of all the doubt cast on the

1390
01:19:08,120 --> 01:19:11,560
Speaker 2: twenty twenty election. So to me, the solution to that,

1391
01:19:11,840 --> 01:19:13,360
Speaker 2: and this is what we're working on right now by

1392
01:19:13,400 --> 01:19:15,680
Speaker 2: to start running legislation in seven states. To do this

1393
01:19:16,479 --> 01:19:20,759
Speaker 2: is to allow start with local elections and let cities

1394
01:19:20,880 --> 01:19:24,200
Speaker 2: choose to opt in to offer mobile voting as one

1395
01:19:24,400 --> 01:19:28,679
Speaker 2: form of voting for council, school board, may or things

1396
01:19:28,760 --> 01:19:31,559
Speaker 2: like that. So Anchorage is the first city that's going

1397
01:19:31,640 --> 01:19:33,000
Speaker 2: to do this. They're going to do it in their

1398
01:19:33,040 --> 01:19:37,120
Speaker 2: April municipal elections, and then if we pass our bills

1399
01:19:37,160 --> 01:19:40,200
Speaker 2: in these different states. That would allow cities to choose

1400
01:19:40,240 --> 01:19:42,640
Speaker 2: to opt in if they want to, to offer it

1401
01:19:42,920 --> 01:19:45,599
Speaker 2: for local elections only, and then let's see how it goes.

1402
01:19:45,920 --> 01:19:48,559
Speaker 2: If people use it and it works and they develop trust,

1403
01:19:49,000 --> 01:19:50,920
Speaker 2: we can move up the ladder to state and then

1404
01:19:50,920 --> 01:19:54,680
Speaker 2: maybe one day federal. If not, then we don't. But

1405
01:19:54,880 --> 01:19:57,679
Speaker 2: I think we have enough. You can start locally enough

1406
01:19:57,760 --> 01:19:59,200
Speaker 2: to sort of experiment a little bit.

1407
01:20:00,000 --> 01:20:02,240
Speaker 1: But you so give me some of the tech, the

1408
01:20:02,360 --> 01:20:03,519
Speaker 1: security things.

1409
01:20:03,880 --> 01:20:05,919
Speaker 2: Is it. Here's how it would work. Location?

1410
01:20:06,240 --> 01:20:06,720
Speaker 1: What would it be?

1411
01:20:07,320 --> 01:20:09,880
Speaker 2: So you would go on the app store. You live

1412
01:20:09,920 --> 01:20:12,040
Speaker 2: in Arlington. So let's just say for purposes, you would

1413
01:20:12,040 --> 01:20:15,000
Speaker 2: download the Arlington Board of Elections app and the first

1414
01:20:15,000 --> 01:20:16,840
Speaker 2: thing would say, Okay to someone, n ain't Chuck Todd

1415
01:20:16,920 --> 01:20:19,680
Speaker 2: really live in Arlington? Who's a registered voter? Last four

1416
01:20:19,760 --> 01:20:22,200
Speaker 2: digits of your social your address? Okay, now we know

1417
01:20:22,320 --> 01:20:24,799
Speaker 2: that there is a voter named Chuck Todd in Arlington,

1418
01:20:25,080 --> 01:20:27,720
Speaker 2: but are you really that person? So first thing is

1419
01:20:27,840 --> 01:20:30,639
Speaker 2: multi factor authentications. That's like when you forget your password,

1420
01:20:30,680 --> 01:20:32,320
Speaker 2: they send you a code, you put it in the app.

1421
01:20:33,040 --> 01:20:36,240
Speaker 2: Then biometric screening so they matt scan your face match

1422
01:20:36,320 --> 01:20:38,800
Speaker 2: it up against your driver's license or whatever idea you have.

1423
01:20:39,320 --> 01:20:42,240
Speaker 2: Now we know this is really Chuck Todd. Ballot comes

1424
01:20:42,320 --> 01:20:45,360
Speaker 2: up on your screen. Ballot is as simple and straightforward

1425
01:20:45,360 --> 01:20:48,559
Speaker 2: as can be. Whenever you're done and you're ready to submit,

1426
01:20:48,960 --> 01:20:52,840
Speaker 2: three things happen. Your ballots encrypted, your ballots anonymized, and

1427
01:20:52,920 --> 01:20:55,400
Speaker 2: you get a tracking code. Goes back to the Board

1428
01:20:55,439 --> 01:20:58,280
Speaker 2: of Elections. They air gap it, which just me They

1429
01:20:58,320 --> 01:21:00,960
Speaker 2: take it offline once you're is you know, on a

1430
01:21:01,040 --> 01:21:03,720
Speaker 2: flash drive and not connected to the internet. Then they

1431
01:21:03,880 --> 01:21:07,000
Speaker 2: decrypt it. A paper copy of your ballot gets printed out,

1432
01:21:07,200 --> 01:21:09,640
Speaker 2: that gets mixed in with all the other ballots. You

1433
01:21:09,760 --> 01:21:12,160
Speaker 2: can see where your ballot stands because the tracking code

1434
01:21:12,200 --> 01:21:15,560
Speaker 2: will show you it was received, tabulated, printed, and so on.

1435
01:21:16,200 --> 01:21:19,080
Speaker 2: And then the underlying code itself is open source. So

1436
01:21:19,200 --> 01:21:22,000
Speaker 2: we've spent the last five years building this thing out

1437
01:21:22,040 --> 01:21:25,240
Speaker 2: of my foundation. We posted it to GitHub a couple

1438
01:21:25,320 --> 01:21:29,080
Speaker 2: of weeks ago, so it is now public code. Anybody

1439
01:21:29,160 --> 01:21:31,599
Speaker 2: can use it, anybody can download it. I don't even

1440
01:21:31,600 --> 01:21:34,200
Speaker 2: known it anymore. It's just purely in the public domain,

1441
01:21:35,240 --> 01:21:37,000
Speaker 2: and any government that wants to try to do it

1442
01:21:37,160 --> 01:21:39,759
Speaker 2: now has the ability to do so. And I've already

1443
01:21:39,760 --> 01:21:42,320
Speaker 2: and I've spent twenty million dollars my own money so far,

1444
01:21:42,560 --> 01:21:45,240
Speaker 2: you know, working on all of this, I've already paid

1445
01:21:45,240 --> 01:21:48,200
Speaker 2: for it. So I feel like given that we live

1446
01:21:48,240 --> 01:21:52,960
Speaker 2: in a world where polarization seems to be the contributing

1447
01:21:53,040 --> 01:21:56,840
Speaker 2: factor to so many of our problems, and polarization is

1448
01:21:57,000 --> 01:22:00,840
Speaker 2: because not that people are polarized, because the only the

1449
01:22:00,960 --> 01:22:04,360
Speaker 2: extremes vote in primaries, and that's where everything is decided.

1450
01:22:04,920 --> 01:22:07,160
Speaker 2: If you could do something that could make it so

1451
01:22:07,320 --> 01:22:10,599
Speaker 2: much easier to vote, especially in primaries, and you get

1452
01:22:10,600 --> 01:22:12,639
Speaker 2: do you remember when Amazon wanted to put their second

1453
01:22:12,680 --> 01:22:14,760
Speaker 2: headquarters in Queen So part of it went to where

1454
01:22:14,840 --> 01:22:16,960
Speaker 2: you are, to Arlington, right, and then the other half

1455
01:22:17,040 --> 01:22:19,719
Speaker 2: was supposed to go to Long Island City, So hundreds

1456
01:22:19,720 --> 01:22:23,160
Speaker 2: of cities competed for this. New York want a little unexpectedly,

1457
01:22:23,160 --> 01:22:25,920
Speaker 2: everyone's very excited the poland shows people are really into it.

1458
01:22:26,520 --> 01:22:30,160
Speaker 2: Then AOC comes out against it, and look for her politics. Fine,

1459
01:22:30,280 --> 01:22:34,200
Speaker 2: she's anti jobs, business, capitalism, whatever. Fine. So there's a

1460
01:22:34,240 --> 01:22:37,080
Speaker 2: guy named Mike Gennaris who is a state senator in

1461
01:22:37,160 --> 01:22:39,920
Speaker 2: Long Island City courts. And Mike is just a guy.

1462
01:22:40,280 --> 01:22:43,320
Speaker 2: He's not good, he's not bad, he's not Conservatives at liberal.

1463
01:22:43,560 --> 01:22:46,040
Speaker 2: He is just a political hack that wants to stay

1464
01:22:46,120 --> 01:22:50,280
Speaker 2: in office, nothing else, and all things being equal. Of course,

1465
01:22:50,320 --> 01:22:52,880
Speaker 2: it's exciting when your district is picked by Amazon to

1466
01:22:52,960 --> 01:22:55,880
Speaker 2: be this thing. But now he says to himself, oh shit,

1467
01:22:56,760 --> 01:22:58,960
Speaker 2: if I support this, I could get a primary from

1468
01:22:58,960 --> 01:23:01,120
Speaker 2: the left to or not, I'll be around a eight

1469
01:23:01,240 --> 01:23:05,160
Speaker 2: nine percent based on the data, and the voters in

1470
01:23:05,240 --> 01:23:07,439
Speaker 2: that primary will be the most left wing voters of

1471
01:23:07,520 --> 01:23:10,840
Speaker 2: my district. And if AOC supports the opponent, I could lose.

1472
01:23:11,360 --> 01:23:15,479
Speaker 2: And he had a choice forty thousand, forty thousand new

1473
01:23:15,560 --> 01:23:18,120
Speaker 2: jobs for New Yorkers that are good jobs for benefits,

1474
01:23:18,600 --> 01:23:22,080
Speaker 2: or one job his own, and he picked himself. And

1475
01:23:22,160 --> 01:23:25,040
Speaker 2: by the way, that's what politicians do. But if he

1476
01:23:25,240 --> 01:23:27,880
Speaker 2: did the same analysis and turn out his primary was

1477
01:23:27,880 --> 01:23:31,040
Speaker 2: going to be thirty seven instead of nine, not because

1478
01:23:31,080 --> 01:23:34,400
Speaker 2: he cared anymore about the voters, the district, the job, whatever,

1479
01:23:34,640 --> 01:23:38,040
Speaker 2: Nothing only changed, just the math. He would have done

1480
01:23:38,080 --> 01:23:40,840
Speaker 2: the deal simply because he would have needed to get

1481
01:23:40,920 --> 01:23:43,720
Speaker 2: re elected. So but if there were non partisan primaries

1482
01:23:44,800 --> 01:23:47,360
Speaker 2: or open primaries, that would definitely help. But you know,

1483
01:23:47,520 --> 01:23:49,200
Speaker 2: I still think if you look at places with the

1484
01:23:49,240 --> 01:23:51,720
Speaker 2: open primaries and I'm a big supporter of open primaries

1485
01:23:53,360 --> 01:23:57,639
Speaker 2: for local elections. You still just don't get people going

1486
01:23:57,720 --> 01:23:59,519
Speaker 2: to submit in plays. With mail and voting, it's a

1487
01:23:59,520 --> 01:24:01,800
Speaker 2: little easy, but in New York, where you have to go,

1488
01:24:02,560 --> 01:24:05,200
Speaker 2: people just don't show up. But you know what, those

1489
01:24:05,240 --> 01:24:07,680
Speaker 2: same people all have phones. So when they're sitting on

1490
01:24:07,800 --> 01:24:10,920
Speaker 2: the subway or they're waiting for their coffee or wherever else,

1491
01:24:10,960 --> 01:24:12,960
Speaker 2: if all they have to do is press a few buttons,

1492
01:24:13,360 --> 01:24:15,720
Speaker 2: then you can go from nine to thirty seven. I

1493
01:24:15,840 --> 01:24:17,800
Speaker 2: don't think you can do that when people have to

1494
01:24:17,840 --> 01:24:18,639
Speaker 2: go show up somewhere.

1495
01:24:27,760 --> 01:24:33,640
Speaker 1: Let me introduce a counterintuitive point about voting. Yeah, and

1496
01:24:33,760 --> 01:24:35,880
Speaker 1: I'm not I'm saying this. I'm not saying I agree

1497
01:24:35,920 --> 01:24:38,439
Speaker 1: with it. So anybody listening that wants to try to, like,

1498
01:24:39,040 --> 01:24:41,280
Speaker 1: you know, aggregate me and sort of say, oh, there

1499
01:24:41,320 --> 01:24:42,240
Speaker 1: he goes he doesn't want.

1500
01:24:44,880 --> 01:24:45,960
Speaker 2: If you choose not, you know.

1501
01:24:46,000 --> 01:24:50,519
Speaker 1: It's sort of like I'm not for compulsory voting like

1502
01:24:50,600 --> 01:24:54,760
Speaker 1: I think you should. I think you should feel comfortable made.

1503
01:24:54,920 --> 01:24:57,880
Speaker 1: You know. In fact, I think it's been fascinating that

1504
01:24:59,479 --> 01:25:04,000
Speaker 1: that voter turnout goes down, the more apathy goes up,

1505
01:25:04,400 --> 01:25:08,040
Speaker 1: the more content and stable our governments are right, apathy

1506
01:25:08,120 --> 01:25:10,760
Speaker 1: goes down a bit more unstable when our leadership is

1507
01:25:10,760 --> 01:25:13,840
Speaker 1: a little bit more unstable. Maybe that's a good thing

1508
01:25:14,320 --> 01:25:19,600
Speaker 1: that that people pay more attention, but it is is

1509
01:25:19,800 --> 01:25:21,960
Speaker 1: more uninformed people voting a good thing.

1510
01:25:23,880 --> 01:25:27,920
Speaker 2: You know what, if more uninformed people is more, it's

1511
01:25:27,960 --> 01:25:31,960
Speaker 2: still a better reflection of the mainstream and therefore democracy

1512
01:25:32,400 --> 01:25:35,320
Speaker 2: than fewer. And you know, I just when I was

1513
01:25:35,360 --> 01:25:38,320
Speaker 2: giving a talk on mobilevoting somewhere someone said, raise their hands, said, well,

1514
01:25:38,800 --> 01:25:41,000
Speaker 2: under your as system, we're going to have a TikTok president.

1515
01:25:41,520 --> 01:25:44,120
Speaker 2: We have a TikTok president, and in new have a

1516
01:25:44,200 --> 01:25:45,240
Speaker 2: TikTok mayor, mayor.

1517
01:25:45,360 --> 01:25:48,519
Speaker 1: Right now, we're already living in the biggest in the

1518
01:25:48,560 --> 01:25:50,320
Speaker 1: biggest markets. We're already living in that world.

1519
01:25:50,360 --> 01:25:54,479
Speaker 2: So we're we're already there. So to me, the thing

1520
01:25:54,600 --> 01:25:57,519
Speaker 2: that I learned I worked in city government. I worked

1521
01:25:57,560 --> 01:25:59,599
Speaker 2: in you know, I was in DC, I was sure

1522
01:25:59,640 --> 01:26:02,400
Speaker 2: studing patients director, I was deputy governor of Illinois. I

1523
01:26:02,520 --> 01:26:05,240
Speaker 2: saw it from really every angle. And to me, the

1524
01:26:05,360 --> 01:26:08,080
Speaker 2: only thing you can count on is that politicians will

1525
01:26:08,080 --> 01:26:10,800
Speaker 2: do whatever it takes to get reelected. And so even

1526
01:26:10,840 --> 01:26:14,639
Speaker 2: if it's an uninformed thirty seven percent. A politician trying

1527
01:26:14,720 --> 01:26:17,760
Speaker 2: to sell for an uninformed thirty seven percent is still

1528
01:26:17,840 --> 01:26:20,160
Speaker 2: going to land much more in the mainstream than a

1529
01:26:20,240 --> 01:26:22,360
Speaker 2: politician trying to solve for nine percent.

1530
01:26:24,760 --> 01:26:26,519
Speaker 1: Do you think you're gonna have an easier time selling

1531
01:26:26,800 --> 01:26:30,519
Speaker 1: more rural states on mobile voting than urban state.

1532
01:26:30,600 --> 01:26:33,280
Speaker 2: So it's one of the reasons why Alaska's.

1533
01:26:32,760 --> 01:26:35,120
Speaker 1: Are Alaska is a perfect Yeah, a perfect.

1534
01:26:34,840 --> 01:26:40,519
Speaker 2: Example, if not for twenty twenty. Yes, the challenge I

1535
01:26:40,600 --> 01:26:44,320
Speaker 2: have right now is that red states don't want to

1536
01:26:44,320 --> 01:26:46,320
Speaker 2: do anything Trump doesn't like, and he hasn't said anything

1537
01:26:46,320 --> 01:26:49,240
Speaker 2: about mobile voting. But if you are a paper only

1538
01:26:49,320 --> 01:26:52,000
Speaker 2: in person thing, then clearly you're not gonna like mobile voting.

1539
01:26:52,960 --> 01:26:56,080
Speaker 2: And so therefore in blue states you not only don't

1540
01:26:56,160 --> 01:26:58,240
Speaker 2: have the concern about Trump, but you actually have the

1541
01:26:58,320 --> 01:27:03,040
Speaker 2: incentive of sticking it to Trump. Right, So, in theory

1542
01:27:03,160 --> 01:27:06,920
Speaker 2: what you said should have been the rollout plan, Trump

1543
01:27:07,040 --> 01:27:11,120
Speaker 2: scrambled that. So now the rollout plan is much more partisan,

1544
01:27:11,200 --> 01:27:12,840
Speaker 2: which I'd say again, I'm not even an m roll

1545
01:27:12,920 --> 01:27:16,120
Speaker 2: party anymore, right, So it's not like i want one

1546
01:27:16,200 --> 01:27:17,920
Speaker 2: party as opposed to another or one type of state,

1547
01:27:18,040 --> 01:27:19,599
Speaker 2: but I'm going to have mobile voting. I want ever

1548
01:27:19,640 --> 01:27:23,639
Speaker 2: want to have it. I think realistically, there's a world

1549
01:27:23,720 --> 01:27:25,720
Speaker 2: that I live in for what I'm doing through twenty eight,

1550
01:27:25,920 --> 01:27:27,920
Speaker 2: and then there's a new world that starts in twenty nine.

1551
01:27:29,560 --> 01:27:31,560
Speaker 1: That's interesting that you say it that way, when you

1552
01:27:31,680 --> 01:27:34,880
Speaker 1: say there's just a new world, that's you're just are

1553
01:27:34,960 --> 01:27:38,160
Speaker 1: you sort of plotting and living? I mean I want

1554
01:27:38,240 --> 01:27:40,160
Speaker 1: more people to be thinking this way, which is, Look,

1555
01:27:40,240 --> 01:27:42,800
Speaker 1: the Trump era is over, it just hasn't ended yet.

1556
01:27:43,600 --> 01:27:47,479
Speaker 2: Yeah, I mean He's gonna go away and norms will

1557
01:27:47,520 --> 01:27:49,040
Speaker 2: be restored.

1558
01:27:49,200 --> 01:27:51,400
Speaker 1: So well, see that's the question. That's what I'm not

1559
01:27:51,760 --> 01:27:54,320
Speaker 1: I'm now starting to become a skeptical So we never

1560
01:27:54,439 --> 01:27:55,679
Speaker 1: go backwards, Bradley.

1561
01:27:56,040 --> 01:27:59,640
Speaker 2: So I've been asking people who know Dvance specifically this question, right,

1562
01:27:59,680 --> 01:28:03,160
Speaker 2: because let's say it's any Democrat, we're probably going back

1563
01:28:03,160 --> 01:28:06,080
Speaker 2: to a more normalized rule of law system, right. So

1564
01:28:06,240 --> 01:28:10,680
Speaker 2: now on the Republican side, even someone like Rubio probably

1565
01:28:10,800 --> 01:28:13,280
Speaker 2: goes back to that. So to me, Vance is the

1566
01:28:13,360 --> 01:28:17,880
Speaker 2: biggest of the major contenders, the biggest variable. He might

1567
01:28:17,960 --> 01:28:21,680
Speaker 2: not want to, but remember when Jordan retired and the

1568
01:28:21,840 --> 01:28:25,040
Speaker 2: NBA kept turning to manufacture these errors to Jordan and

1569
01:28:25,120 --> 01:28:27,960
Speaker 2: it never worked, right, you had great basketball players, but

1570
01:28:28,080 --> 01:28:32,120
Speaker 2: until Lebron naturally came along, you just didn't have it. Right,

1571
01:28:33,479 --> 01:28:36,960
Speaker 2: Vance and others will try to imitate Trump at every turn,

1572
01:28:37,160 --> 01:28:40,120
Speaker 2: and it's not gonna work because Trump is an end

1573
01:28:40,160 --> 01:28:43,760
Speaker 2: of one and for better or worse, he's just unique, right,

1574
01:28:44,000 --> 01:28:47,240
Speaker 2: And if you try to imitate him, that will probably

1575
01:28:47,360 --> 01:28:53,200
Speaker 2: look really inauthentic and actually fail. And so Vance would

1576
01:28:53,200 --> 01:28:56,719
Speaker 2: be my biggest concern about continuation of the current approach

1577
01:28:56,800 --> 01:28:59,920
Speaker 2: to rule of law. But I kind of think that

1578
01:29:01,160 --> 01:29:03,519
Speaker 2: people are going to want change, and I think that

1579
01:29:03,640 --> 01:29:05,439
Speaker 2: he is going to refer he has to run on

1580
01:29:05,600 --> 01:29:06,759
Speaker 2: continuity to Trump.

1581
01:29:07,360 --> 01:29:12,840
Speaker 1: And Vance is discovering the same trap that that a

1582
01:29:13,120 --> 01:29:16,000
Speaker 1: being vice president for an unpopular president is, like that

1583
01:29:16,120 --> 01:29:19,160
Speaker 1: Kamala Harris discovered, You're never going to be judged on

1584
01:29:19,240 --> 01:29:20,439
Speaker 1: your own merits, right.

1585
01:29:20,600 --> 01:29:23,200
Speaker 2: Right, Well, do you think he learned so? Harris clearly

1586
01:29:23,320 --> 01:29:28,200
Speaker 2: regrets not distancing herself from Biden in any way. Do

1587
01:29:28,360 --> 01:29:31,240
Speaker 2: you think Vance has learned from that? And if so,

1588
01:29:31,800 --> 01:29:35,240
Speaker 2: when you're the city vice president and a candidate, how

1589
01:29:35,360 --> 01:29:36,920
Speaker 2: do you distance yourself? You can't.

1590
01:29:37,040 --> 01:29:39,599
Speaker 1: I mean the point is just because you should doesn't

1591
01:29:39,640 --> 01:29:45,840
Speaker 1: mean you can, right, yeah, right, you know look, Hubert

1592
01:29:45,920 --> 01:29:53,280
Speaker 1: Humphrey couldn't do it, and he waited too long. Al

1593
01:29:53,400 --> 01:29:56,519
Speaker 1: Gore to this day did the best version of it

1594
01:29:56,600 --> 01:29:59,640
Speaker 1: that was possible. Right. He found he was trying to

1595
01:29:59,640 --> 01:30:03,000
Speaker 1: figure a way to show distance on the things that

1596
01:30:03,360 --> 01:30:06,720
Speaker 1: mattered the most, the concerns that people had, which was

1597
01:30:07,400 --> 01:30:11,040
Speaker 1: the kind of the personal ickiness of Clinton. Right, and

1598
01:30:11,360 --> 01:30:19,720
Speaker 1: Joe Lieberman was the tonic. And so you know what,

1599
01:30:20,640 --> 01:30:26,120
Speaker 1: you know, had Kamala Harris picked Elon Musks are running

1600
01:30:26,160 --> 01:30:27,680
Speaker 1: made I don't know, I'm like trying to think, like

1601
01:30:28,080 --> 01:30:28,840
Speaker 1: who could have been the.

1602
01:30:30,040 --> 01:30:32,480
Speaker 2: I'm not sure anything. I don't know if anything.

1603
01:30:32,200 --> 01:30:36,320
Speaker 1: Could even al Gore couldn't outrun it. Right, he got closer.

1604
01:30:36,560 --> 01:30:39,240
Speaker 1: I will always go to my grave believing that race

1605
01:30:39,320 --> 01:30:43,280
Speaker 1: got competitive because he figured out a way to walk

1606
01:30:43,360 --> 01:30:45,120
Speaker 1: the line of being, Hey, I'm going to be the

1607
01:30:45,400 --> 01:30:49,479
Speaker 1: stuff you liked about Clinton, and I'm not going to

1608
01:30:49,600 --> 01:30:52,599
Speaker 1: allow the stuff you didn't like to happen either, right,

1609
01:30:52,840 --> 01:30:54,439
Speaker 1: which was but it was hard.

1610
01:30:54,800 --> 01:30:57,840
Speaker 2: Yeah, I bother one of the biggest what asks because

1611
01:30:57,840 --> 01:31:01,080
Speaker 2: if you think about it, let's say, for a few

1612
01:31:01,600 --> 01:31:04,240
Speaker 2: ballots got fully punched through instead of hanging had tats

1613
01:31:04,320 --> 01:31:07,400
Speaker 2: or whatever. Right, and the outcome is different. It seems

1614
01:31:07,400 --> 01:31:11,280
Speaker 2: to be there's two very radically different outcomes that we

1615
01:31:11,479 --> 01:31:13,320
Speaker 2: said of what we had. One is, let's just see

1616
01:31:13,400 --> 01:31:15,600
Speaker 2: nine to eleven still happens, because it probably would have.

1617
01:31:15,840 --> 01:31:18,080
Speaker 1: Right, I've gone through this. What if I'm curious where

1618
01:31:18,080 --> 01:31:19,960
Speaker 1: you're gonna go. I have an idea where this goes.

1619
01:31:20,120 --> 01:31:23,200
Speaker 2: See, you still get Afghanistan. That doesn't change, No, But

1620
01:31:23,360 --> 01:31:23,879
Speaker 2: I don't.

1621
01:31:23,680 --> 01:31:27,679
Speaker 1: Think you realize Rack, it's not just that Bradley.

1622
01:31:28,000 --> 01:31:28,200
Speaker 2: Yeah.

1623
01:31:29,000 --> 01:31:32,519
Speaker 1: If at nine to eleven happens under Al Gore, that's

1624
01:31:32,600 --> 01:31:36,920
Speaker 1: the ninth the year of a democratic presidency. So while

1625
01:31:37,000 --> 01:31:41,560
Speaker 1: George W. Bush was new and could claim the intelligence

1626
01:31:41,720 --> 01:31:45,519
Speaker 1: was new, then all of a sudden, if Gore's president,

1627
01:31:46,080 --> 01:31:48,200
Speaker 1: then the whole well, you knew this guy was a

1628
01:31:48,320 --> 01:31:51,639
Speaker 1: problem because your administration tried to kill him once and missed.

1629
01:31:52,320 --> 01:31:54,479
Speaker 1: You were on top of Bin Ludden, and you still

1630
01:31:54,880 --> 01:31:59,200
Speaker 1: missed this. I think the politicizing of the intelligence failure

1631
01:32:00,160 --> 01:32:04,280
Speaker 1: under a democratic administration, which is a continuation of eight

1632
01:32:04,400 --> 01:32:09,160
Speaker 1: years of a democratic administration, becomes we are far more polarized.

1633
01:32:10,000 --> 01:32:12,840
Speaker 1: The world we live in today is the world that

1634
01:32:12,880 --> 01:32:15,880
Speaker 1: would have happened to us. September twelfth, ninth two thousand

1635
01:32:15,880 --> 01:32:18,800
Speaker 1: and one, meaning I think we would have gone immediately

1636
01:32:19,360 --> 01:32:24,200
Speaker 1: because it would have been this was the because he

1637
01:32:24,240 --> 01:32:26,840
Speaker 1: would have had the same CIA chief probably maybe he

1638
01:32:26,880 --> 01:32:28,640
Speaker 1: had had the same Secretary State maybe, but you know

1639
01:32:28,680 --> 01:32:31,680
Speaker 1: what I mean. There would have been more continuation than difference,

1640
01:32:32,920 --> 01:32:35,559
Speaker 1: and it wouldn't have been a new president. It would

1641
01:32:35,600 --> 01:32:38,640
Speaker 1: have been right like. So that to me is the

1642
01:32:39,400 --> 01:32:41,599
Speaker 1: is the dog that didn't mark right, which is, well,

1643
01:32:41,680 --> 01:32:43,320
Speaker 1: we were we could have nine to eleven, could have

1644
01:32:43,320 --> 01:32:46,240
Speaker 1: gotten politicized. It didn't, right, and it was a unique

1645
01:32:46,240 --> 01:32:47,920
Speaker 1: set of circumstances for why it didn't.

1646
01:32:48,120 --> 01:32:50,759
Speaker 2: But could you have gotten away with the WMD stuff?

1647
01:32:52,120 --> 01:32:54,800
Speaker 1: Well, I don't think I rack ever happens, right, right, right?

1648
01:32:54,880 --> 01:32:57,720
Speaker 1: I mean in that sense it doesn't happen, and we

1649
01:32:57,840 --> 01:33:01,519
Speaker 1: probably still do Afghanistan. But what I'm saying is I

1650
01:33:01,560 --> 01:33:06,439
Speaker 1: think we have a far more politicized world because this

1651
01:33:06,560 --> 01:33:08,920
Speaker 1: wouldn't have been the failure of a new administration. It

1652
01:33:08,920 --> 01:33:11,840
Speaker 1: would have been the failure of an administration that, in theory,

1653
01:33:11,920 --> 01:33:13,240
Speaker 1: had been in power for nine years.

1654
01:33:14,240 --> 01:33:16,280
Speaker 2: Right. I think that's probably right. Can I throw one

1655
01:33:16,360 --> 01:33:17,840
Speaker 2: crazy idea at you, because.

1656
01:33:17,960 --> 01:33:20,240
Speaker 1: Lady, that's what we do here at the Chuck podcast.

1657
01:33:20,479 --> 01:33:23,000
Speaker 2: So, okay, so if you look at sort of modern

1658
01:33:23,320 --> 01:33:27,080
Speaker 2: political history for the president, let's just say since Reagan.

1659
01:33:27,240 --> 01:33:31,160
Speaker 2: So there's been seven presidents, including Reagan's nineteen eighty five

1660
01:33:31,280 --> 01:33:34,080
Speaker 2: of them, I would argue, were rock stars who were

1661
01:33:34,120 --> 01:33:38,559
Speaker 2: definitely not the most qualified person. Two win so Reagan, Clinton,

1662
01:33:39,360 --> 01:33:42,880
Speaker 2: w to some extent Obama Trump. The two that were

1663
01:33:43,040 --> 01:33:48,200
Speaker 2: ultra qualified Biden and hw both only lasted one term.

1664
01:33:48,400 --> 01:33:51,040
Speaker 1: Right, so I call them nineteenth century presidents. They'd have

1665
01:33:51,080 --> 01:33:53,160
Speaker 1: been better in the non media era.

1666
01:33:53,400 --> 01:33:58,320
Speaker 2: Right, at least for president. Americans want rock stars. And

1667
01:33:58,560 --> 01:34:02,280
Speaker 2: my argument is the DNC or the RNC are the

1668
01:34:02,520 --> 01:34:07,240
Speaker 2: least qualified entities to pick rock stars. And do you

1669
01:34:07,240 --> 01:34:09,720
Speaker 2: remember that show? I think you were probably around the

1670
01:34:09,720 --> 01:34:12,960
Speaker 2: same age. Battle of the Network Stars is like when

1671
01:34:13,000 --> 01:34:15,800
Speaker 2: I was a kid, Right, So what if you did

1672
01:34:15,920 --> 01:34:19,559
Speaker 2: that in say in twenty twenty seven, where you said, okay,

1673
01:34:19,600 --> 01:34:22,760
Speaker 2: instead of a tug of war in the mud, go

1674
01:34:22,880 --> 01:34:25,320
Speaker 2: to the waffle house of midnight, talk to the truckers,

1675
01:34:25,400 --> 01:34:27,800
Speaker 2: talk to the cops, talk to the college kids, show

1676
01:34:28,000 --> 01:34:29,760
Speaker 2: them all of America and see who comes and what

1677
01:34:29,840 --> 01:34:32,200
Speaker 2: they talk to you about. Call inning of a Cardinals

1678
01:34:32,280 --> 01:34:35,520
Speaker 2: game on the radio, whatever it is, and put candidates

1679
01:34:35,640 --> 01:34:38,680
Speaker 2: in real world situations that are not totally scripted and

1680
01:34:38,800 --> 01:34:42,639
Speaker 2: not totally packed with party faithful and just see how

1681
01:34:42,680 --> 01:34:46,080
Speaker 2: they do. Because some will resonate, some will not. And

1682
01:34:46,400 --> 01:34:49,439
Speaker 2: ultimately you got to pick the candidate that has that

1683
01:34:49,600 --> 01:34:54,479
Speaker 2: intangible quality. And you're never going to get that through

1684
01:34:55,200 --> 01:34:58,280
Speaker 2: the debates and the normal primary systems. You almost need

1685
01:34:58,320 --> 01:35:00,760
Speaker 2: an alternate method. Well, you know, we have.

1686
01:35:01,160 --> 01:35:02,880
Speaker 1: You know, it's funny, what if I told you that

1687
01:35:02,960 --> 01:35:06,280
Speaker 1: we had already had that system but we didn't like it,

1688
01:35:06,880 --> 01:35:10,599
Speaker 1: and it's called the Iowa Caucuses. The single greatest aspect

1689
01:35:10,680 --> 01:35:13,479
Speaker 1: of the Iowa Caucuses is what you just described, the

1690
01:35:13,600 --> 01:35:19,559
Speaker 1: fact that candidates have to go into small venues. They

1691
01:35:19,680 --> 01:35:22,599
Speaker 1: have to it's the only time in the presidential process

1692
01:35:23,240 --> 01:35:27,200
Speaker 1: where you see more personal interactions, right, And you know,

1693
01:35:27,680 --> 01:35:30,519
Speaker 1: I've always thought that what people don't understand that actually,

1694
01:35:30,960 --> 01:35:33,479
Speaker 1: the two parties that stumbled on a really smart way

1695
01:35:33,560 --> 01:35:36,280
Speaker 1: to do the presidential primary system. We start in a

1696
01:35:36,360 --> 01:35:40,000
Speaker 1: super rural state that's very friendly, in the state of Iowa,

1697
01:35:40,400 --> 01:35:43,679
Speaker 1: and you're being tested, can you organize ninety nine counties

1698
01:35:44,360 --> 01:35:47,280
Speaker 1: like That's essentially what you're being told to do. You've

1699
01:35:47,320 --> 01:35:49,400
Speaker 1: got to figure out how to organize. You can't just

1700
01:35:49,520 --> 01:35:52,960
Speaker 1: win desmoins, You've actually got to show strength in ninety

1701
01:35:53,040 --> 01:35:56,600
Speaker 1: nine counties. Then with the second test, we're going to

1702
01:35:56,640 --> 01:36:00,439
Speaker 1: send you to a state that is cranky independence and

1703
01:36:00,600 --> 01:36:03,679
Speaker 1: in fact they get to decide which party to vote

1704
01:36:03,720 --> 01:36:07,280
Speaker 1: in and they vacillate like two thousand was fantastic. It

1705
01:36:07,439 --> 01:36:10,599
Speaker 1: was really a fight between McCain and Bradley to see

1706
01:36:10,640 --> 01:36:13,479
Speaker 1: who could convince more independence to pick the D ballot

1707
01:36:13,560 --> 01:36:16,360
Speaker 1: or the R ballot. Well, McCain won that, and therefore

1708
01:36:16,479 --> 01:36:20,240
Speaker 1: Gore won. Had Bradley won the debate with McCain, Bradley

1709
01:36:20,280 --> 01:36:23,680
Speaker 1: wins the New Hampshire primary, and then the messages said, hey,

1710
01:36:24,080 --> 01:36:28,519
Speaker 1: this guy is better at winning independence and it's a

1711
01:36:28,640 --> 01:36:32,120
Speaker 1: test of that. Like I think the parties and we

1712
01:36:32,240 --> 01:36:35,120
Speaker 1: didn't fully appreciate that the system that we had stumbled

1713
01:36:35,120 --> 01:36:39,439
Speaker 1: into place you test or actually existed. And what you

1714
01:36:39,640 --> 01:36:42,320
Speaker 1: have is you had a whole bunch of idiots at

1715
01:36:42,320 --> 01:36:46,160
Speaker 1: the DNC who said, well, Iowa was too white, and

1716
01:36:46,680 --> 01:36:48,519
Speaker 1: it is and they had it, and they applied a

1717
01:36:48,600 --> 01:36:52,720
Speaker 1: DEI test to the state of Iowa mistakenly realized, not

1718
01:36:52,920 --> 01:36:56,479
Speaker 1: realizing that by preventing their candidates from learning how to

1719
01:36:56,560 --> 01:36:59,519
Speaker 1: speak to rural America in a friendly state like Iowa,

1720
01:37:00,000 --> 01:37:02,080
Speaker 1: that they were going to fail in appealing to rural

1721
01:37:02,120 --> 01:37:07,120
Speaker 1: America all over the country. So I absolutely agree with

1722
01:37:07,200 --> 01:37:09,040
Speaker 1: what you're saying. And I'm like, we already had this

1723
01:37:09,240 --> 01:37:14,040
Speaker 1: system because it tested Barack Obama, it tested Bill Clinton,

1724
01:37:14,680 --> 01:37:17,200
Speaker 1: and in fact, it was in the small states and

1725
01:37:17,400 --> 01:37:20,920
Speaker 1: their interactions in the small states that made the country

1726
01:37:21,120 --> 01:37:24,760
Speaker 1: comfortable with what they what. We weren't sure whether these

1727
01:37:24,800 --> 01:37:27,400
Speaker 1: were attributes that were going to work or not. So

1728
01:37:28,120 --> 01:37:30,360
Speaker 1: we had the system, and we are now actually trying

1729
01:37:30,400 --> 01:37:32,800
Speaker 1: to throw that system away, which I sort of am

1730
01:37:32,840 --> 01:37:33,840
Speaker 1: frustrated them well.

1731
01:37:33,760 --> 01:37:37,439
Speaker 2: Because by throwing it, throwing it away and sort of

1732
01:37:37,600 --> 01:37:42,000
Speaker 2: nationalizing it empowers the people inside the Beltway at the

1733
01:37:42,120 --> 01:37:45,160
Speaker 2: expense of everyone else. But the problem is those people

1734
01:37:45,600 --> 01:37:47,640
Speaker 2: like other people who went to Yale and write in

1735
01:37:47,720 --> 01:37:49,160
Speaker 2: bullet points and that.

1736
01:37:49,360 --> 01:37:53,920
Speaker 1: Is not a rock star, right right, But let me

1737
01:37:54,000 --> 01:37:55,800
Speaker 1: go back, let me throw somep at it chew, which

1738
01:37:55,880 --> 01:38:00,920
Speaker 1: is which is? And I've I've been working with a

1739
01:38:01,000 --> 01:38:05,240
Speaker 1: company that's basically popped up, that didn't exist for a

1740
01:38:05,280 --> 01:38:10,440
Speaker 1: while but now exists as an entity to help corporations

1741
01:38:10,520 --> 01:38:15,040
Speaker 1: communicate how to deal with tricky political situations, either with

1742
01:38:15,200 --> 01:38:18,439
Speaker 1: their own employees or with the outside world. And it's

1743
01:38:18,479 --> 01:38:21,439
Speaker 1: sort of it's a company now that it's thriving, and

1744
01:38:21,479 --> 01:38:23,400
Speaker 1: there's a lot of Fortune five hundred companies that want

1745
01:38:23,479 --> 01:38:28,160
Speaker 1: this research, this information, etc. And what I've come to

1746
01:38:28,240 --> 01:38:32,240
Speaker 1: discover is that basically we're now looking for the same

1747
01:38:32,280 --> 01:38:36,719
Speaker 1: attributes in our CEOs as we expect in our presidents

1748
01:38:36,720 --> 01:38:40,080
Speaker 1: as you just defined, right, which is ultimately we're looking

1749
01:38:40,160 --> 01:38:44,520
Speaker 1: for the best communicator. Right, we elect the best communicator.

1750
01:38:44,960 --> 01:38:47,520
Speaker 1: We don't elect the best person. We're electing the best communicator.

1751
01:38:48,400 --> 01:38:53,519
Speaker 1: The companies with good communicators probably are doing better on

1752
01:38:53,640 --> 01:38:59,040
Speaker 1: Wall Street than the companies with bad communicators. And I

1753
01:38:59,240 --> 01:39:03,000
Speaker 1: actually think now now we're communicating is so much more

1754
01:39:03,080 --> 01:39:06,280
Speaker 1: important now to success in both the business world, the

1755
01:39:06,320 --> 01:39:11,280
Speaker 1: political world, the entertainment world, frankly even the sports world.

1756
01:39:12,320 --> 01:39:14,760
Speaker 1: That it is now a skill set that is as

1757
01:39:14,840 --> 01:39:17,720
Speaker 1: important as learning how to type. It is a skill

1758
01:39:17,800 --> 01:39:21,240
Speaker 1: set that it's important as understanding how to write. In fact,

1759
01:39:21,320 --> 01:39:22,439
Speaker 1: you need to know how to do that then you

1760
01:39:22,520 --> 01:39:26,160
Speaker 1: do right cursive right. I just think it's a skill

1761
01:39:26,200 --> 01:39:27,479
Speaker 1: set that it's necessary now and.

1762
01:39:27,520 --> 01:39:30,720
Speaker 2: All walks away in my world investing in tech startups,

1763
01:39:31,360 --> 01:39:36,080
Speaker 2: narrative is frequently more important than economic fundamentals, right, you know,

1764
01:39:36,840 --> 01:39:41,679
Speaker 2: EVE and P and L and everything else oftentimes takes

1765
01:39:41,720 --> 01:39:46,920
Speaker 2: a backseat to who has the narrative, the rhetoric, the

1766
01:39:47,040 --> 01:39:51,400
Speaker 2: sort of you know flash that really gets investors excited,

1767
01:39:52,160 --> 01:39:55,599
Speaker 2: and that's what drives evaluation. Look think about AI right now.

1768
01:39:56,320 --> 01:39:58,439
Speaker 2: You take two companies and you call one of them

1769
01:39:58,439 --> 01:40:00,680
Speaker 2: AI and one of them not. It could be the

1770
01:40:00,760 --> 01:40:04,479
Speaker 2: same company. The II one has doubled evaluation immediately, right.

1771
01:40:05,400 --> 01:40:08,040
Speaker 2: I mean, I would even argue that a lot of

1772
01:40:08,200 --> 01:40:12,880
Speaker 2: the spending that the open aiyes and the Navidias are

1773
01:40:12,920 --> 01:40:17,200
Speaker 2: doing on data centers and everything else is really short

1774
01:40:17,360 --> 01:40:21,559
Speaker 2: term narrative and profit seeking disguise as long term planning.

1775
01:40:22,000 --> 01:40:25,120
Speaker 2: So it looks like you're saying, oh, I'm thinking twenty

1776
01:40:25,200 --> 01:40:27,920
Speaker 2: thirty years out, and the market loves that, and they

1777
01:40:28,120 --> 01:40:31,080
Speaker 2: reward it with higher share prices or higher valuations if

1778
01:40:31,080 --> 01:40:35,519
Speaker 2: you're still a private company, and in reality, we have

1779
01:40:35,680 --> 01:40:38,960
Speaker 2: no idea what we're actually going to need to power

1780
01:40:39,000 --> 01:40:41,680
Speaker 2: AI in twenty or thirty years, because the answer might

1781
01:40:41,720 --> 01:40:43,960
Speaker 2: be that we don't need nearly this much compute, right,

1782
01:40:44,320 --> 01:40:47,200
Speaker 2: Maybe the inference model works. I'm at a company that

1783
01:40:47,400 --> 01:40:51,120
Speaker 2: is literally using rat brain stem cells to try to

1784
01:40:51,160 --> 01:40:54,600
Speaker 2: power a compute. Whether it works, who knows, right, But like,

1785
01:40:54,960 --> 01:40:57,720
Speaker 2: there's lots of different ways to go about it. And

1786
01:40:57,800 --> 01:41:01,760
Speaker 2: I think that if your Jensen want you know, you say,

1787
01:41:02,680 --> 01:41:04,719
Speaker 2: if I announced I'm going to spend a trillion dollars

1788
01:41:04,800 --> 01:41:09,280
Speaker 2: on data centers, my valuation goes way up immediately. And

1789
01:41:09,400 --> 01:41:11,599
Speaker 2: the truth is, by the time that the bill comes due,

1790
01:41:11,880 --> 01:41:15,439
Speaker 2: I'm probably long gone. My shares became worth more and

1791
01:41:15,560 --> 01:41:18,040
Speaker 2: more money in the short term, and even if all

1792
01:41:18,200 --> 01:41:20,840
Speaker 2: that debt goes bad in people's four oh one k's

1793
01:41:20,880 --> 01:41:24,080
Speaker 2: get wiped out as a result, not really your problem.

1794
01:41:24,280 --> 01:41:27,880
Speaker 2: So yeah, narrative, you know, for better and for worse.

1795
01:41:28,120 --> 01:41:30,880
Speaker 2: You know, it has overwhelming influence over everything else.

1796
01:41:31,360 --> 01:41:33,479
Speaker 1: No, and it's like, it's not just politics, it's it's

1797
01:41:33,640 --> 01:41:35,519
Speaker 1: it's business. Let me get you out of here.

1798
01:41:35,600 --> 01:41:35,800
Speaker 2: On this.

1799
01:41:38,439 --> 01:41:41,120
Speaker 1: Is Is it better to be a public company or

1800
01:41:41,120 --> 01:41:43,400
Speaker 1: a private company in twenty twenty five and in twenty

1801
01:41:43,479 --> 01:41:44,080
Speaker 1: twenty six.

1802
01:41:44,520 --> 01:41:50,320
Speaker 2: That's a great, great question. I believe that tech startups

1803
01:41:50,360 --> 01:41:54,080
Speaker 2: stay private for too long. And the reason they stay

1804
01:41:54,160 --> 01:41:57,280
Speaker 2: private oftentimes is a it's easier you don't have all

1805
01:41:57,400 --> 01:42:00,160
Speaker 2: the scrutiny of the market and analysts and investors, all

1806
01:42:00,160 --> 01:42:06,599
Speaker 2: of that, and b oftentimes they're really overvalued and they're

1807
01:42:06,640 --> 01:42:09,080
Speaker 2: afraid to go to the public markets because they're going

1808
01:42:09,160 --> 01:42:12,519
Speaker 2: to face a steep cut in the share price. They

1809
01:42:12,600 --> 01:42:14,439
Speaker 2: might have a good IPO day, but then you look

1810
01:42:14,479 --> 01:42:17,200
Speaker 2: six months later and it's down seventy percent, and that's

1811
01:42:17,280 --> 01:42:20,320
Speaker 2: because fundamentally the company was never worth what people like

1812
01:42:20,400 --> 01:42:22,519
Speaker 2: me said it was in the first place. And we

1813
01:42:22,720 --> 01:42:24,320
Speaker 2: tell me if this is a little too technical, but

1814
01:42:24,840 --> 01:42:28,040
Speaker 2: in the venture world, we have gotten into a game

1815
01:42:29,040 --> 01:42:31,600
Speaker 2: where the real way for people to make money is

1816
01:42:31,680 --> 01:42:34,280
Speaker 2: have more AUM assets under management, because you get a

1817
01:42:34,320 --> 01:42:37,720
Speaker 2: two percent fee. So if you can have billions of

1818
01:42:37,760 --> 01:42:40,799
Speaker 2: dollars of AUM, it doesn't really matter what your investment

1819
01:42:40,880 --> 01:42:43,360
Speaker 2: performance is because the management fee is worth tens of

1820
01:42:43,439 --> 01:42:47,439
Speaker 2: millions of dollars and if you're you know, the main GP,

1821
01:42:47,640 --> 01:42:50,200
Speaker 2: you can pocket that. And so as a result, if

1822
01:42:50,240 --> 01:42:52,360
Speaker 2: you are raising much more money than you need to

1823
01:42:52,439 --> 01:42:54,760
Speaker 2: get that two percent, you have to deploy it at

1824
01:42:54,840 --> 01:42:58,839
Speaker 2: much higher evaluations to make the math work. And everyone's

1825
01:42:58,880 --> 01:43:01,479
Speaker 2: in on the joke, from of the earliest stage you know,

1826
01:43:01,600 --> 01:43:05,080
Speaker 2: investor to fidelity, whoever at the series A F for

1827
01:43:05,240 --> 01:43:09,200
Speaker 2: G and then they know that it all works for

1828
01:43:09,240 --> 01:43:11,840
Speaker 2: as long as they're not exposed. And what exposes it

1829
01:43:12,040 --> 01:43:15,799
Speaker 2: is often the public markets. As I think tech companies

1830
01:43:15,840 --> 01:43:18,439
Speaker 2: stay private for way too long as a result, and

1831
01:43:18,520 --> 01:43:23,240
Speaker 2: that is really harmful to the employees, to consumers, to

1832
01:43:23,320 --> 01:43:27,000
Speaker 2: a lot of other people. So I think that ultimately

1833
01:43:27,160 --> 01:43:31,080
Speaker 2: I would really like to see the speed to market increase.

1834
01:43:31,640 --> 01:43:35,000
Speaker 1: How would you incentivize that? Because right now, I mean,

1835
01:43:35,040 --> 01:43:38,040
Speaker 1: I'll be honest, is as much as look, I'm an

1836
01:43:38,040 --> 01:43:40,880
Speaker 1: advocate of the public markets. I think the public markets

1837
01:43:40,920 --> 01:43:43,439
Speaker 1: are for all the reasons you just said. Right, It's

1838
01:43:43,479 --> 01:43:45,960
Speaker 1: a way to protect employee rights and all those things.

1839
01:43:47,560 --> 01:43:47,760
Speaker 2: You have.

1840
01:43:47,960 --> 01:43:50,439
Speaker 1: You know, it's having another set of eyes on everything.

1841
01:43:51,720 --> 01:43:55,400
Speaker 1: But I think the incentive is to stay private and

1842
01:43:55,560 --> 01:43:58,200
Speaker 1: attentive is But if you so, how do you incentivize

1843
01:43:58,240 --> 01:44:00,240
Speaker 1: the public How do you incentivize driven.

1844
01:44:00,080 --> 01:44:04,840
Speaker 2: By the institutional capital allocators, meaning the giant pension funds,

1845
01:44:04,880 --> 01:44:10,120
Speaker 2: the sovereign wealth funds, the endowments that give hundreds of

1846
01:44:10,160 --> 01:44:12,679
Speaker 2: millions of dollars or billions of dollars to a private

1847
01:44:12,720 --> 01:44:16,800
Speaker 2: equity fund of entricapital fund, whatever it is. Because ultimately,

1848
01:44:17,360 --> 01:44:20,600
Speaker 2: every year that the company stays private, the RR of

1849
01:44:21,120 --> 01:44:24,559
Speaker 2: the pension fund goes down. Right, So the people who

1850
01:44:24,720 --> 01:44:28,600
Speaker 2: ultimately control the money are way too lax in the

1851
01:44:28,760 --> 01:44:31,760
Speaker 2: requirements and pression that they put on the funds that

1852
01:44:31,840 --> 01:44:32,519
Speaker 2: they invest in.

1853
01:44:32,640 --> 01:44:35,639
Speaker 1: And so you think the people running the pension funds

1854
01:44:35,720 --> 01:44:38,120
Speaker 1: could put more pressure in these private companies. And you

1855
01:44:38,200 --> 01:44:40,519
Speaker 1: want our if they want our crash, you need to

1856
01:44:40,560 --> 01:44:41,040
Speaker 1: go public.

1857
01:44:41,240 --> 01:44:43,840
Speaker 2: Yeah, they said to Sequoia, if you don't get your

1858
01:44:43,880 --> 01:44:47,920
Speaker 2: average company from your investment to an IPO down by

1859
01:44:48,000 --> 01:44:51,080
Speaker 2: twenty five percent, we're not doing your next fund. At

1860
01:44:51,120 --> 01:44:53,439
Speaker 2: the next board meeting, the person with Zaquoia on the

1861
01:44:53,520 --> 01:44:55,920
Speaker 2: board is betting in the table saying we got to

1862
01:44:55,960 --> 01:44:59,080
Speaker 2: get to the market faster. So that's where the power

1863
01:44:59,200 --> 01:45:01,960
Speaker 2: lies in this situation, situation, And I really think that

1864
01:45:02,080 --> 01:45:05,360
Speaker 2: in some ways because the public pension funds especially or

1865
01:45:05,520 --> 01:45:07,479
Speaker 2: look when I was deputy governor of Illinois, like I

1866
01:45:07,600 --> 01:45:10,000
Speaker 2: saw this, we would appoint people, but there are political

1867
01:45:10,040 --> 01:45:12,840
Speaker 2: appointees right to the pension funds. They weren't business people

1868
01:45:13,280 --> 01:45:17,479
Speaker 2: and as a result, they're often poorly run, and you know,

1869
01:45:18,960 --> 01:45:21,160
Speaker 2: they are more eager to be able to say I'm

1870
01:45:21,200 --> 01:45:24,000
Speaker 2: in Sequoia I'm an in grees and whatever it is KKR,

1871
01:45:24,600 --> 01:45:27,200
Speaker 2: then it is demaining that the leaders of those funds

1872
01:45:28,280 --> 01:45:32,800
Speaker 2: be accountable and provide really good returns. And so you know,

1873
01:45:33,080 --> 01:45:34,599
Speaker 2: that's where it has to come from.

1874
01:45:39,080 --> 01:45:43,280
Speaker 1: Anybody, anybody getting grabbing your attention for twenty twenty eight

1875
01:45:43,400 --> 01:45:44,720
Speaker 1: that you're excited about yet or.

1876
01:45:44,760 --> 01:45:47,680
Speaker 2: No, because in part, if you go back to the

1877
01:45:47,720 --> 01:45:50,639
Speaker 2: conversation we had about twelve minutes ago, I would say

1878
01:45:50,680 --> 01:45:53,160
Speaker 2: that I don't know who the rock star is yet,

1879
01:45:53,760 --> 01:45:57,080
Speaker 2: and I know that if I just find the look,

1880
01:45:57,520 --> 01:45:59,800
Speaker 2: you know, like you people come through New York and

1881
01:46:00,000 --> 01:46:01,599
Speaker 2: they're rising money or whatever in the car.

1882
01:46:01,760 --> 01:46:05,560
Speaker 1: Yeah, you meet these people, right, They're smart, anyone's for

1883
01:46:05,640 --> 01:46:10,479
Speaker 1: president smart, They're impressive. They're also super narcissist. I always

1884
01:46:10,479 --> 01:46:13,880
Speaker 1: pay this like you run for president, You're like, boy,

1885
01:46:14,240 --> 01:46:16,160
Speaker 1: you know you're you're a bit different than most of

1886
01:46:16,240 --> 01:46:18,559
Speaker 1: us who don't think we should be right, But you're

1887
01:46:18,600 --> 01:46:18,960
Speaker 1: good at this.

1888
01:46:19,600 --> 01:46:24,439
Speaker 2: And so I don't trust my own reaction in those meetings.

1889
01:46:24,560 --> 01:46:27,400
Speaker 2: And I've spent a lifetime around politicians because I understand

1890
01:46:27,479 --> 01:46:29,559
Speaker 2: what they're really good at, and that's what they're really

1891
01:46:29,640 --> 01:46:33,280
Speaker 2: good at, and so I don't Maybe it's you know,

1892
01:46:33,400 --> 01:46:35,600
Speaker 2: returns to the version of Iowa. But I would like

1893
01:46:35,720 --> 01:46:38,640
Speaker 2: to see something that shows me because look, I'm a

1894
01:46:38,760 --> 01:46:41,759
Speaker 2: rich guy in Manhattan, right. I am not an anyway

1895
01:46:41,800 --> 01:46:47,800
Speaker 2: indicative of America, right you. I live in downtown, I

1896
01:46:47,920 --> 01:46:50,320
Speaker 2: went to Ivy League schools. I'm everything that the that

1897
01:46:50,400 --> 01:46:54,080
Speaker 2: the right hates right many ways, and I'm not a

1898
01:46:54,160 --> 01:46:57,679
Speaker 2: good barometer for who's gonna win Iowa or New Hampshire.

1899
01:46:58,600 --> 01:47:01,600
Speaker 2: And so for me, what I'm trying to do is

1900
01:47:01,720 --> 01:47:03,840
Speaker 2: know what I don't know. And rather than saying, oh,

1901
01:47:04,000 --> 01:47:07,080
Speaker 2: Josh Shapiro is the guy, Yeah he might. I don't

1902
01:47:07,080 --> 01:47:09,559
Speaker 2: even know Josh Pierro, but he might resonate really well

1903
01:47:09,600 --> 01:47:11,559
Speaker 2: with me in a one on one launch or whatever

1904
01:47:11,680 --> 01:47:16,439
Speaker 2: it is. But so what right, So I would like

1905
01:47:16,600 --> 01:47:20,680
Speaker 2: to try to figure out a way that who is

1906
01:47:20,720 --> 01:47:22,880
Speaker 2: the candidate that can do what you talked about, which

1907
01:47:23,000 --> 01:47:25,800
Speaker 2: is they figured out how to navigate the independence in

1908
01:47:25,880 --> 01:47:28,760
Speaker 2: New Hampshire, they figured out how to organize ninety nine

1909
01:47:28,800 --> 01:47:32,600
Speaker 2: counties in Iowa, and then through that you knew this

1910
01:47:32,800 --> 01:47:34,639
Speaker 2: person has the intangible skill.

1911
01:47:35,400 --> 01:47:37,280
Speaker 1: Well it goes back. You know, It's funny you brought

1912
01:47:37,320 --> 01:47:39,200
Speaker 1: up the Battle of the Network Stars. By the way,

1913
01:47:39,240 --> 01:47:41,640
Speaker 1: if you, if you ever want to entertain yourself, go

1914
01:47:41,800 --> 01:47:44,200
Speaker 1: look at Go go watch highlight reels of that on YouTube,

1915
01:47:44,240 --> 01:47:46,760
Speaker 1: because they haven't. Okay, oh my god, it's it's fantastic.

1916
01:47:47,080 --> 01:47:50,840
Speaker 1: It's unbelievable, right you just see the You're like, how

1917
01:47:50,920 --> 01:47:54,160
Speaker 1: much cocaine was being done behind the scenes, right, there

1918
01:47:54,920 --> 01:47:57,800
Speaker 1: is no doubt, like you wouldn't have it if there

1919
01:47:57,920 --> 01:47:59,960
Speaker 1: was it, like you know, the amount of like create

1920
01:48:00,280 --> 01:48:03,840
Speaker 1: seventies coke that was taking place. But anyway, that ought

1921
01:48:03,880 --> 01:48:07,720
Speaker 1: to be actually a pretty good Netflix limited series, like

1922
01:48:07,880 --> 01:48:10,400
Speaker 1: behind the scenes and the battles of the network starts.

1923
01:48:10,640 --> 01:48:14,840
Speaker 2: I'm sure it'd be, you know, just hilarious investing, and

1924
01:48:14,880 --> 01:48:15,760
Speaker 2: we're going to make the show.

1925
01:48:16,000 --> 01:48:18,320
Speaker 1: Let's make that show. It would be you know, tell

1926
01:48:18,400 --> 01:48:20,919
Speaker 1: us the real story of Farah Faucet and Lee Majors,

1927
01:48:21,000 --> 01:48:26,479
Speaker 1: you know, like those those sorts of things. But there

1928
01:48:26,560 --> 01:48:29,960
Speaker 1: is a series of tests that we want these candidates

1929
01:48:30,040 --> 01:48:32,599
Speaker 1: to go through. And while I don't think we want

1930
01:48:32,640 --> 01:48:35,880
Speaker 1: it to look like Survivor or a game show, in

1931
01:48:36,040 --> 01:48:40,760
Speaker 1: some ways I do. I do like that there are

1932
01:48:40,920 --> 01:48:44,479
Speaker 1: all these weird obstacles in the primary calendar, or that

1933
01:48:44,560 --> 01:48:49,080
Speaker 1: there used to be. Because while it doesn't test you

1934
01:48:49,160 --> 01:48:51,920
Speaker 1: on whether how you're going to handle Putin. If you

1935
01:48:52,120 --> 01:48:57,000
Speaker 1: can't handle you know, the person that you got to

1936
01:48:57,040 --> 01:49:00,280
Speaker 1: deal with in Columbia, South Carolina that that in order

1937
01:49:00,360 --> 01:49:03,680
Speaker 1: to navigate you know, precinct, why well, then how the

1938
01:49:03,760 --> 01:49:06,240
Speaker 1: hell do we expect you to be able to handle

1939
01:49:06,400 --> 01:49:07,880
Speaker 1: a tough moment with Putin? Right?

1940
01:49:08,040 --> 01:49:12,360
Speaker 2: So the modern version that actually is the candidates who

1941
01:49:12,360 --> 01:49:15,360
Speaker 2: are truly adapt to new forms of technology, whether it

1942
01:49:15,600 --> 01:49:20,360
Speaker 2: was Kennedy and television or Obama and text, or Trump

1943
01:49:20,439 --> 01:49:24,240
Speaker 2: and Twitter or Mandani in short form video, they do

1944
01:49:24,439 --> 01:49:27,200
Speaker 2: really well because that becomes the way to do it.

1945
01:49:28,600 --> 01:49:31,600
Speaker 1: No, it's a you're not wrong, it's like, how do

1946
01:49:31,680 --> 01:49:35,040
Speaker 1: we how do we how do we sort of celebrate

1947
01:49:35,200 --> 01:49:37,519
Speaker 1: that part of the prime because you know, there's plenty

1948
01:49:37,560 --> 01:49:40,080
Speaker 1: of people who will criticize our conversation. You're trying to

1949
01:49:40,160 --> 01:49:43,240
Speaker 1: gamify it is sort of. It's not gamify. It's simply

1950
01:49:43,320 --> 01:49:47,240
Speaker 1: finding the person who's got the best attributes to handle

1951
01:49:48,600 --> 01:49:50,280
Speaker 1: how the job is done today.

1952
01:49:50,640 --> 01:49:56,080
Speaker 2: Plus, a binary contest is a game by definition, right,

1953
01:49:56,320 --> 01:49:58,600
Speaker 2: So like we're already in that construct.

1954
01:49:59,360 --> 01:50:03,760
Speaker 1: Yeah, well, mobile voting, when will we see the first votes.

1955
01:50:04,160 --> 01:50:09,080
Speaker 2: April in Anchorage? And then my hope would be a

1956
01:50:09,120 --> 01:50:10,840
Speaker 2: whole bunch of cities in different states.

1957
01:50:11,120 --> 01:50:14,679
Speaker 1: What does success look like to you? Turnout, like huge

1958
01:50:14,720 --> 01:50:15,479
Speaker 1: increases turnout.

1959
01:50:15,479 --> 01:50:17,800
Speaker 2: I'm not going to get that in year one. So

1960
01:50:18,000 --> 01:50:19,920
Speaker 2: Estonia is the one country in the world that has

1961
01:50:20,000 --> 01:50:22,280
Speaker 2: had internet voting for twenty years. I went over there

1962
01:50:22,360 --> 01:50:23,680
Speaker 2: this summer to kind of meet with a lot of

1963
01:50:23,680 --> 01:50:25,920
Speaker 2: people and learn more about it. So in year one

1964
01:50:26,520 --> 01:50:29,639
Speaker 2: it was one point three percent of voters voted online.

1965
01:50:30,120 --> 01:50:35,559
Speaker 2: Today it's well, it's a significant majority, right, And they

1966
01:50:35,640 --> 01:50:39,960
Speaker 2: went from having higher national turnout and low local turnout

1967
01:50:40,280 --> 01:50:43,360
Speaker 2: to sort of normalize it across the board, whereas now

1968
01:50:43,520 --> 01:50:46,920
Speaker 2: even MS collections are getting fifty instead of five because

1969
01:50:47,000 --> 01:50:48,880
Speaker 2: people just got used to it and it just became

1970
01:50:49,000 --> 01:50:51,360
Speaker 2: so easy that there's no reason not to do it.

1971
01:50:51,479 --> 01:50:52,479
Speaker 2: So that's what I'm going for.

1972
01:50:53,040 --> 01:50:55,639
Speaker 1: Hey, in nineteen ninety five, the state of Oregon ran

1973
01:50:55,680 --> 01:51:00,080
Speaker 1: this interesting experiment for mail in voting. It was the

1974
01:51:00,160 --> 01:51:05,360
Speaker 1: special election to replace Bob Packwood. The entire West Coast

1975
01:51:05,479 --> 01:51:09,080
Speaker 1: now majority votes by mail. Yeah, you know, and that

1976
01:51:09,240 --> 01:51:10,200
Speaker 1: was just thirty years ago.

1977
01:51:10,479 --> 01:51:12,280
Speaker 2: So that's that's what I'm hoping to do here.

1978
01:51:12,720 --> 01:51:15,439
Speaker 1: Yeah, Well, I'll be watching rather than great conversation and

1979
01:51:15,600 --> 01:51:18,200
Speaker 1: this was super fun and yeah, absolutely love to meet

1980
01:51:18,200 --> 01:51:28,920
Speaker 1: and we'll do it again. All right, thank you. Well,

1981
01:51:29,000 --> 01:51:30,760
Speaker 1: then you get your phones out or you're ready to

1982
01:51:30,920 --> 01:51:34,640
Speaker 1: vote on the internet mobile voting and all seriousness. I do.

1983
01:51:34,840 --> 01:51:37,800
Speaker 1: I believe this is going to happen. The question is

1984
01:51:38,479 --> 01:51:40,640
Speaker 1: is it going to happen in my lifetime? Are we

1985
01:51:41,000 --> 01:51:43,640
Speaker 1: so negative on the tech community that this is going

1986
01:51:43,720 --> 01:51:47,080
Speaker 1: to be something that we are later to adopt simply

1987
01:51:47,680 --> 01:51:52,400
Speaker 1: because of our distrust of both government and the tech

1988
01:51:52,479 --> 01:51:56,680
Speaker 1: companies these days? I think so. By the way, you

1989
01:51:56,720 --> 01:52:02,120
Speaker 1: may be wondering nothing on the Epstein file, I think

1990
01:52:02,200 --> 01:52:05,720
Speaker 1: this is one of those things where it's going to

1991
01:52:05,760 --> 01:52:10,240
Speaker 1: be I think the it's hard to speculate what revelation

1992
01:52:10,520 --> 01:52:16,439
Speaker 1: is necessary to change to change the conversation on this right.

1993
01:52:18,080 --> 01:52:18,679
Speaker 2: Is there.

1994
01:52:20,040 --> 01:52:25,920
Speaker 1: Is there a revelation that suddenly so troubles the right

1995
01:52:26,240 --> 01:52:31,040
Speaker 1: that they walk away from him completely. That's an open question,

1996
01:52:31,520 --> 01:52:35,320
Speaker 1: right I I think, you know. I think another fair

1997
01:52:35,439 --> 01:52:37,439
Speaker 1: question that I've been asking before I get a question

1998
01:52:37,520 --> 01:52:42,240
Speaker 1: here is I don't get his What does it? Why

1999
01:52:42,400 --> 01:52:45,439
Speaker 1: is he afraid of Glene Maxwell? What is it? I

2000
01:52:45,560 --> 01:52:47,800
Speaker 1: keep asking people that know him, why is he so

2001
01:52:48,000 --> 01:52:50,760
Speaker 1: soft on her? What is with this? You know, and

2002
01:52:50,880 --> 01:52:52,600
Speaker 1: we'll see does she get a you know, does she

2003
01:52:52,680 --> 01:52:54,880
Speaker 1: get her verdict thrown out? Does she end up you know,

2004
01:52:55,960 --> 01:52:59,479
Speaker 1: what does he end up doing there? I'm surprised he

2005
01:52:59,520 --> 01:53:01,680
Speaker 1: hasn't gone the other way and gotten harsher on her.

2006
01:53:02,560 --> 01:53:03,360
Speaker 2: What does she know?

2007
01:53:03,560 --> 01:53:05,840
Speaker 1: What is he afraid of? The only answers I get

2008
01:53:05,880 --> 01:53:08,280
Speaker 1: from people that know him is that it's because she's

2009
01:53:08,479 --> 01:53:12,160
Speaker 1: known him, She's known Milania longer than him. Something with

2010
01:53:12,640 --> 01:53:18,560
Speaker 1: that relationship. But that that origin story or whatever it is.

2011
01:53:18,640 --> 01:53:20,559
Speaker 1: That that's you know, I want to I'm not going

2012
01:53:20,640 --> 01:53:22,439
Speaker 1: to go any farther than that on that, on that

2013
01:53:22,600 --> 01:53:27,200
Speaker 1: speculation front, but whatever it is, he fears her enough,

2014
01:53:29,000 --> 01:53:31,280
Speaker 1: or maybe it goes back to a relationship with her father,

2015
01:53:31,360 --> 01:53:35,640
Speaker 1: who was a famed conservative Canadian media mucule. So it is,

2016
01:53:36,120 --> 01:53:39,200
Speaker 1: it is something there. And you know, he's also just

2017
01:53:39,360 --> 01:53:42,840
Speaker 1: very empathetic to fellow rich people in trouble. That's you know,

2018
01:53:43,080 --> 01:53:46,400
Speaker 1: just look at the people he pardons, right, So it

2019
01:53:46,600 --> 01:53:51,519
Speaker 1: is it is. Unfortunately his behavior is so odd that

2020
01:53:51,640 --> 01:53:55,240
Speaker 1: it only inspires more speculation, and that is on him.

2021
01:53:55,240 --> 01:53:56,920
Speaker 1: All right, Let's get to a few questions in here.

2022
01:53:57,120 --> 01:54:03,479
Speaker 1: Ask Chuck, Hey, Chuck, thanks for the great shows and

2023
01:54:03,640 --> 01:54:07,759
Speaker 1: let Cheese read if you know you know. I've dabbled

2024
01:54:07,800 --> 01:54:10,120
Speaker 1: in prediction markets for the first time this year and

2025
01:54:10,200 --> 01:54:13,200
Speaker 1: appreciate betting against other participants instead of the House. But

2026
01:54:13,360 --> 01:54:17,080
Speaker 1: political BECs do make me uneasy. Wagering on individual outcomes

2027
01:54:17,120 --> 01:54:19,320
Speaker 1: feels especially right for corruption, and I worry at further

2028
01:54:19,479 --> 01:54:21,920
Speaker 1: roads trust in our political system. I draw a line

2029
01:54:22,320 --> 01:54:25,360
Speaker 1: at institutional based outcomes like FED decisions, and feel more

2030
01:54:25,400 --> 01:54:28,799
Speaker 1: comfortable betting on foreign elections where influence seems less direct.

2031
01:54:29,000 --> 01:54:31,040
Speaker 1: How easy would it be for Stafford to know, for example,

2032
01:54:31,080 --> 01:54:35,040
Speaker 1: who the next FED chair will be then and then

2033
01:54:35,400 --> 01:54:38,080
Speaker 1: have themselves or friends or family load up on the

2034
01:54:38,120 --> 01:54:41,640
Speaker 1: prediction market positions. Keep up the great work things, Nick Smith,

2035
01:54:41,720 --> 01:54:44,360
Speaker 1: ps bear down, all right, I see what you did there.

2036
01:54:46,920 --> 01:54:47,120
Speaker 2: You know.

2037
01:54:48,840 --> 01:54:50,920
Speaker 1: That's the issue I have. I go back to the

2038
01:54:51,000 --> 01:54:56,680
Speaker 1: player prop market, and I appreciate the state of Virginia right.

2039
01:54:56,720 --> 01:54:58,640
Speaker 1: The state of Virginia, for instance, doesn't let you bet

2040
01:54:58,680 --> 01:55:01,600
Speaker 1: on awards. I can't bet on on who the NFL

2041
01:55:01,680 --> 01:55:03,040
Speaker 1: MVP is going to be. You can't bet on the

2042
01:55:03,120 --> 01:55:05,480
Speaker 1: Heisman Trophy, you can't bet you can bet on who's

2043
01:55:05,480 --> 01:55:07,200
Speaker 1: going to win the national title. You can bet on

2044
01:55:07,200 --> 01:55:10,200
Speaker 1: who's going to win the super Bowl, but they don't

2045
01:55:10,240 --> 01:55:13,400
Speaker 1: allow on the individual awards. They don't let you bet

2046
01:55:13,440 --> 01:55:15,720
Speaker 1: on the Oscars in Virginia, but you can bet on

2047
01:55:15,800 --> 01:55:19,480
Speaker 1: the Oscars in DC. But different, like I said, different

2048
01:55:19,560 --> 01:55:21,920
Speaker 1: states are regulating things a different way. But this is

2049
01:55:22,000 --> 01:55:25,680
Speaker 1: something that perhaps this is where national regulation is probably

2050
01:55:25,720 --> 01:55:30,400
Speaker 1: going to be. The corruptibility of the individual prop markets.

2051
01:55:30,480 --> 01:55:33,120
Speaker 1: Whether it's about who's the next FED chair, who's the

2052
01:55:33,200 --> 01:55:35,840
Speaker 1: first cabinet secretary to be fired, who's that? You know,

2053
01:55:36,240 --> 01:55:39,200
Speaker 1: there is always a window in time where somebody knows

2054
01:55:39,280 --> 01:55:42,760
Speaker 1: the actual answer. You know, it's you know, we call

2055
01:55:42,800 --> 01:55:45,440
Speaker 1: it in the stock world insider trading. You know, there's

2056
01:55:45,480 --> 01:55:48,440
Speaker 1: going to be an announcement. If you want to know

2057
01:55:48,800 --> 01:55:51,040
Speaker 1: what we mean by this, go watch the movie Trading

2058
01:55:51,080 --> 01:55:54,120
Speaker 1: Places with Eddie Murphy and Dan Ackroyd, which was about

2059
01:55:54,320 --> 01:55:57,480
Speaker 1: cornering the frozen You know, they thought they had stolen

2060
01:55:57,840 --> 01:56:00,440
Speaker 1: the report, right, that's the plot, and they thought they

2061
01:56:00,480 --> 01:56:05,440
Speaker 1: had insider information, and they load up on buying un

2062
01:56:05,480 --> 01:56:08,440
Speaker 1: buying frozen orange juice concentrate, which I don't think you

2063
01:56:08,600 --> 01:56:10,360
Speaker 1: gotta you can do oranges, but I don't think you

2064
01:56:10,400 --> 01:56:13,120
Speaker 1: can do orange juice concentrate. But whatever. The point is

2065
01:56:13,240 --> 01:56:16,360
Speaker 1: is that the movie Trading Places actually is a pretty

2066
01:56:16,360 --> 01:56:20,800
Speaker 1: good job of at least explaining showing an example of

2067
01:56:21,320 --> 01:56:26,360
Speaker 1: how insider trading can work, how it is, it is,

2068
01:56:27,200 --> 01:56:30,800
Speaker 1: how manipulative to a market it could be. And that's

2069
01:56:30,840 --> 01:56:35,760
Speaker 1: the point, right Like that appears needs to probably be

2070
01:56:35,880 --> 01:56:41,560
Speaker 1: the line, you know, and betting on American elections, it's

2071
01:56:41,640 --> 01:56:45,800
Speaker 1: just I just worry about, you know, my god, political coverage.

2072
01:56:45,920 --> 01:56:49,720
Speaker 1: It was interesting. I just had I appeared on newsbacks

2073
01:56:50,000 --> 01:56:53,960
Speaker 1: recently and the one of the hosts, Rob Finnerty, said, oh,

2074
01:56:54,000 --> 01:56:57,080
Speaker 1: he trusts the prediction markets more than polling, and I said,

2075
01:56:57,120 --> 01:56:59,960
Speaker 1: I'm sorry, I don't. I'm not there because the prediction market,

2076
01:57:00,080 --> 01:57:03,320
Speaker 1: it's follow the polling that I've noticed. Where there is polling,

2077
01:57:03,400 --> 01:57:06,680
Speaker 1: the prediction markets basically allow the polling to influence the market.

2078
01:57:06,840 --> 01:57:09,040
Speaker 1: It's not as if the mark you know, I'm not

2079
01:57:09,200 --> 01:57:11,360
Speaker 1: saying that over time, if you have a lot of

2080
01:57:11,520 --> 01:57:15,000
Speaker 1: numbers that maybe maybe that is a way to sort

2081
01:57:15,040 --> 01:57:22,880
Speaker 1: of crowd source disparate information. But I'm skeptical that it

2082
01:57:23,600 --> 01:57:28,200
Speaker 1: can be regulated against abuse. That's my that's my concern

2083
01:57:28,280 --> 01:57:32,480
Speaker 1: on that Anyway, I appreciate the question. Next question, Chucks,

2084
01:57:32,520 --> 01:57:34,920
Speaker 1: a fifty three year old Kine from Coral Gables. It's

2085
01:57:34,960 --> 01:57:37,240
Speaker 1: a joy listening to you. Well, I'm a fifty three

2086
01:57:37,320 --> 01:57:39,720
Speaker 1: year old Caine from Kendall.

2087
01:57:39,880 --> 01:57:40,400
Speaker 2: So there you go.

2088
01:57:40,720 --> 01:57:42,760
Speaker 1: We can keep up the great word.

2089
01:57:42,800 --> 01:57:43,000
Speaker 2: Thank you.

2090
01:57:43,640 --> 01:57:45,640
Speaker 1: I've been thinking about your interest in prediction markets like

2091
01:57:45,720 --> 01:57:47,800
Speaker 1: Calcia and polling market, especially as a parent. I worry

2092
01:57:47,840 --> 01:57:50,880
Speaker 1: these platforms are part of a larger wagering industrial complex

2093
01:57:50,920 --> 01:57:53,839
Speaker 1: trying to hook young people, turning serious events and entertainment

2094
01:57:54,080 --> 01:57:57,320
Speaker 1: and tempting people to manipulate outcomes. Some of the bets

2095
01:57:57,360 --> 01:58:00,480
Speaker 1: feel straight out of idiocracy or worse, the hung games.

2096
01:58:00,720 --> 01:58:04,000
Speaker 1: Gocain's hire them Los Angeles, California. Look, you said it

2097
01:58:04,240 --> 01:58:04,600
Speaker 1: very well.

2098
01:58:04,720 --> 01:58:06,560
Speaker 2: Like it again.

2099
01:58:06,680 --> 01:58:11,240
Speaker 1: There are I like I enjoy sports gambling. I enjoyed

2100
01:58:11,240 --> 01:58:17,000
Speaker 1: gambling on team sports. I struggle even an individual sports. Now,

2101
01:58:17,120 --> 01:58:20,040
Speaker 1: bet on, I would be more comfortable knowing that everybody,

2102
01:58:20,160 --> 01:58:22,080
Speaker 1: you know, I don't. I don't think there's golfers that

2103
01:58:22,160 --> 01:58:23,840
Speaker 1: want to throw the Masters, and I don't think they're

2104
01:58:23,840 --> 01:58:29,440
Speaker 1: tennis players that want to throw Wimbledon. But table tennis,

2105
01:58:30,600 --> 01:58:33,960
Speaker 1: I don't know, right, you know, in some of the

2106
01:58:34,040 --> 01:58:37,200
Speaker 1: biggest scandals have been the sort of more arcane sports

2107
01:58:37,520 --> 01:58:40,200
Speaker 1: at times, and usually where you can just find one

2108
01:58:40,360 --> 01:58:45,360
Speaker 1: person to essentially totally look. And I'm not saying you

2109
01:58:45,440 --> 01:58:48,000
Speaker 1: can't corrupt team sports. We've had points shaving scandals and

2110
01:58:48,040 --> 01:58:50,720
Speaker 1: all of that, and I do think in fairness in

2111
01:58:50,800 --> 01:58:53,520
Speaker 1: the sports world, I think one of the reasons why

2112
01:58:53,760 --> 01:59:02,400
Speaker 1: we've seen a hot we've seen these scandals is because

2113
01:59:03,000 --> 01:59:05,960
Speaker 1: the casinos, these mobile betting companies are doing a good

2114
01:59:06,040 --> 01:59:11,520
Speaker 1: job identifying and finding patterns and sort of you know,

2115
01:59:12,240 --> 01:59:15,960
Speaker 1: it's certainly, at least in the iteration one point, oh,

2116
01:59:16,000 --> 01:59:18,760
Speaker 1: I've done a pretty good job at identifying that. But

2117
01:59:18,840 --> 01:59:23,840
Speaker 1: everything gets more sophisticated over time, and ultimately, if something

2118
01:59:24,000 --> 01:59:29,040
Speaker 1: can be corrupted, it will be corrupted. And I don't

2119
01:59:29,080 --> 01:59:33,360
Speaker 1: think a larger market can could correct this corruption. All right,

2120
01:59:33,480 --> 01:59:36,560
Speaker 1: next question, Hey, Chuck, I haven't dug into prediction markets much,

2121
01:59:36,600 --> 01:59:38,960
Speaker 1: but if I did, I might place a show bet

2122
01:59:39,160 --> 01:59:42,000
Speaker 1: on Gavin Newsom for the Democratic nomination. I'm uneasy about

2123
01:59:42,000 --> 01:59:44,680
Speaker 1: the potential for insider trading, and worse, the risk that

2124
01:59:44,800 --> 01:59:49,360
Speaker 1: someone might try to influence political outcomes through violence for

2125
01:59:49,600 --> 01:59:53,480
Speaker 1: financial gain. With sports betting already targeting young men heavily.

2126
01:59:53,960 --> 01:59:56,640
Speaker 1: I'm wary of making high stakes wagering even more mainstream

2127
01:59:58,960 --> 02:00:03,400
Speaker 1: hashtag Ashta five timer club Chase c from Little Rock Nice.

2128
02:00:03,720 --> 02:00:07,120
Speaker 1: I think if that's the case, Kudos, congratulations, welcome to

2129
02:00:07,200 --> 02:00:10,160
Speaker 1: the UH. Here's another one. I don't think I'm not

2130
02:00:10,200 --> 02:00:12,840
Speaker 1: gonna have to answer. I'm just gonna this is mostly

2131
02:00:12,920 --> 02:00:16,400
Speaker 1: from you guys. Here's Eric B on this issue. Dear Chuck,

2132
02:00:16,480 --> 02:00:18,880
Speaker 1: thanks for all the great content. I especially enjoy the

2133
02:00:18,920 --> 02:00:21,280
Speaker 1: long form interviews and your Monday pod with Melissa. As

2134
02:00:21,280 --> 02:00:23,680
Speaker 1: a financial consultant, I find prediction markets like Calshi and

2135
02:00:23,720 --> 02:00:27,640
Speaker 1: Pollymarket helpful for gauging consensus on elections and policy shifts.

2136
02:00:27,680 --> 02:00:31,440
Speaker 1: That said, I'm concerned these platforms are increasingly gamifying investing,

2137
02:00:31,720 --> 02:00:34,720
Speaker 1: especially for younger users, blurring the line between gambling and

2138
02:00:34,800 --> 02:00:39,120
Speaker 1: financial decision making. But she's a read from Colorado. PS.

2139
02:00:39,360 --> 02:00:40,760
Speaker 1: You share a fence with my brother in law and

2140
02:00:40,800 --> 02:00:43,360
Speaker 1: sister in law, so your local references always make me

2141
02:00:43,440 --> 02:00:47,760
Speaker 1: feel closer to my niece and nephew. Well, no kidding, Well,

2142
02:00:48,000 --> 02:00:50,720
Speaker 1: nice to know, and I am one of those who

2143
02:00:50,760 --> 02:00:53,040
Speaker 1: thinks good fences make good neighbors. I think all I

2144
02:00:53,200 --> 02:00:54,840
Speaker 1: find all of my neighbors are good, but I have

2145
02:00:54,920 --> 02:00:57,280
Speaker 1: a good fence because I'm the one with the dogs

2146
02:00:57,360 --> 02:01:00,240
Speaker 1: and I'm the one with barking dogs. So know that

2147
02:01:00,400 --> 02:01:06,720
Speaker 1: hopefully your your niece and nephew aren't anti dog on

2148
02:01:06,800 --> 02:01:09,920
Speaker 1: that front. Look, I what you said is important, and

2149
02:01:10,120 --> 02:01:12,200
Speaker 1: you know, it's interesting with the investing, right, we've seen

2150
02:01:12,280 --> 02:01:15,520
Speaker 1: the meme stock trend and and this is you know,

2151
02:01:15,520 --> 02:01:17,880
Speaker 1: as a concern with Robin hood right, the idea that

2152
02:01:18,040 --> 02:01:20,440
Speaker 1: that suddenly, you know, memes can take off. But look,

2153
02:01:20,680 --> 02:01:24,880
Speaker 1: you have run on stocks all the time. I hope

2154
02:01:24,920 --> 02:01:28,720
Speaker 1: people are smarter about investing and look at things like, hey,

2155
02:01:28,800 --> 02:01:31,080
Speaker 1: are you how many you know, what percentage are you

2156
02:01:31,200 --> 02:01:37,040
Speaker 1: trading over your over over your over your essentially over

2157
02:01:37,120 --> 02:01:37,600
Speaker 1: your profit?

2158
02:01:37,880 --> 02:01:38,000
Speaker 2: Right?

2159
02:01:38,440 --> 02:01:43,080
Speaker 1: You know, I think Google trades at eighteen times, but

2160
02:01:43,200 --> 02:01:46,320
Speaker 1: I think pollunteer trades it's like six hundred decks. Well,

2161
02:01:46,480 --> 02:01:49,240
Speaker 1: be careful of by owning stock of anything that's six

2162
02:01:49,320 --> 02:01:54,040
Speaker 1: hundreds because that's overly speculative versus something that has more provable,

2163
02:01:55,080 --> 02:02:00,960
Speaker 1: more more provable, provable, provable uh profit and things like that.

2164
02:02:01,520 --> 02:02:04,600
Speaker 1: But yeah, the gamifying as stocks we've seen, you know,

2165
02:02:05,200 --> 02:02:08,760
Speaker 1: imagine being on the wrong end of game. Stop for instance,

2166
02:02:10,720 --> 02:02:12,960
Speaker 1: Here's another one from Michael. I'm a younger millennial who's

2167
02:02:13,040 --> 02:02:16,440
Speaker 1: dabbled in betting markets but now mostly observes with concern,

2168
02:02:16,600 --> 02:02:20,720
Speaker 1: interesting especially around their impact on young men. Alongside meme stocks.

2169
02:02:20,760 --> 02:02:22,840
Speaker 1: They seem to turn everything into a game of instant

2170
02:02:22,840 --> 02:02:25,800
Speaker 1: gratification with little lasting gain. Your Federal Reserve example is

2171
02:02:25,800 --> 02:02:28,839
Speaker 1: spot on. Many now just trade events rather than invest

2172
02:02:28,920 --> 02:02:31,880
Speaker 1: with long term thinking. With personal finances already shaky for

2173
02:02:31,960 --> 02:02:35,200
Speaker 1: my generation, I wonder if policymakers are being too libertarian

2174
02:02:35,520 --> 02:02:38,760
Speaker 1: and whether we're heading towards a future where safety nets

2175
02:02:39,360 --> 02:02:43,400
Speaker 1: are strained by decades of unchecked gambling. Thanks Michael, you

2176
02:02:43,480 --> 02:02:45,720
Speaker 1: know it's interesting this issue. You're the second person to

2177
02:02:45,760 --> 02:02:48,520
Speaker 1: bring up the what this impact is doing for younger men,

2178
02:02:48,640 --> 02:02:51,880
Speaker 1: this sort of this scenification of everything. You know, it's

2179
02:02:51,880 --> 02:02:56,880
Speaker 1: sort of like how you know, how Instagram really sort

2180
02:02:56,920 --> 02:03:04,160
Speaker 1: of screwed up a lot of younger women and on

2181
02:03:04,440 --> 02:03:08,640
Speaker 1: looks and things like that, and worried about that issue

2182
02:03:08,720 --> 02:03:15,360
Speaker 1: that this was, that this Instagram was was causing all

2183
02:03:15,440 --> 02:03:18,440
Speaker 1: sorts of young women to have body shaming issue, body

2184
02:03:18,440 --> 02:03:20,840
Speaker 1: image issues due to body shaming and all of this stuff.

2185
02:03:21,200 --> 02:03:25,240
Speaker 1: I mean, is it is interesting that we've got two

2186
02:03:25,440 --> 02:03:28,720
Speaker 1: fairly new technologies, and these mobile technologies, and they're really

2187
02:03:28,800 --> 02:03:32,760
Speaker 1: having negative impacts on young women for different reasons and

2188
02:03:32,920 --> 02:03:36,040
Speaker 1: on young men for different reasons. And so it is

2189
02:03:36,800 --> 02:03:40,880
Speaker 1: I think you're we're hitting on something that ultimately, you know,

2190
02:03:41,360 --> 02:03:44,360
Speaker 1: the big pushback that is coming against big tech and

2191
02:03:44,680 --> 02:03:47,960
Speaker 1: against sort of all of this is going to be

2192
02:03:48,640 --> 02:03:50,680
Speaker 1: the argument is going to be strongest when you do

2193
02:03:50,800 --> 02:03:53,080
Speaker 1: it through the prism of what it is doing to

2194
02:03:53,320 --> 02:04:02,000
Speaker 1: young girls, young boys, young men, young women. Finally, I'm

2195
02:04:02,000 --> 02:04:04,160
Speaker 1: going to do one more question. It's not this one

2196
02:04:04,280 --> 02:04:08,600
Speaker 1: is not about the Calshier polymarket. This one comes from

2197
02:04:09,160 --> 02:04:12,080
Speaker 1: a UNBC fan. By the way, that UNBC Retrievers. You

2198
02:04:12,240 --> 02:04:16,080
Speaker 1: might remember them. They're famous for being the loan sixteen

2199
02:04:16,160 --> 02:04:18,600
Speaker 1: seat to defeat a one seat in the NCAA basketball tournament.

2200
02:04:18,800 --> 02:04:20,800
Speaker 1: But Douglas writes this. He says, Hey, Chuck, you frequently

2201
02:04:20,880 --> 02:04:22,840
Speaker 1: say that you trust the public, especially when it comes

2202
02:04:22,840 --> 02:04:24,120
Speaker 1: to holding a constitutional convention.

2203
02:04:24,240 --> 02:04:24,839
Speaker 2: I am hesitant.

2204
02:04:25,040 --> 02:04:27,200
Speaker 1: I first voted in the twenty oh four presidential election,

2205
02:04:27,480 --> 02:04:31,040
Speaker 1: where voters in eleven states enacted state constitutional amendments prohibiting

2206
02:04:31,120 --> 02:04:33,680
Speaker 1: gay marriage. I just came out to my family in

2207
02:04:33,720 --> 02:04:35,560
Speaker 1: February of that year, and I felt like an outsider

2208
02:04:35,600 --> 02:04:38,360
Speaker 1: in both my house and my republic. Yes, through later

2209
02:04:38,440 --> 02:04:41,440
Speaker 1: grassroots efforts in Supreme Court cases, I gained the right

2210
02:04:41,520 --> 02:04:44,360
Speaker 1: to marry ten years later in Maryland, but it is

2211
02:04:44,400 --> 02:04:46,400
Speaker 1: still a reminder that civil rights is always a struggle

2212
02:04:46,400 --> 02:04:48,120
Speaker 1: in the country. How can we trust the public when

2213
02:04:48,120 --> 02:04:53,080
Speaker 1: the public isn't always protective of minorities. You're not wrong

2214
02:04:53,160 --> 02:05:00,240
Speaker 1: on that, but I would argue that the Constitution that

2215
02:05:00,400 --> 02:05:05,520
Speaker 1: ultimately the way what it takes to get a constitutional

2216
02:05:05,560 --> 02:05:08,720
Speaker 1: amendment passed is not just a simple majority, and so

2217
02:05:09,400 --> 02:05:12,320
Speaker 1: you don't have to fear sort of mob rule, and right,

2218
02:05:12,400 --> 02:05:15,160
Speaker 1: that was kind of kind of mob rule, right, It

2219
02:05:15,280 --> 02:05:17,040
Speaker 1: was a little bit of of I don't know how

2220
02:05:17,080 --> 02:05:20,560
Speaker 1: else to put it. Those those things were worded in

2221
02:05:20,720 --> 02:05:23,040
Speaker 1: such a way to be negative and all of that.

2222
02:05:26,800 --> 02:05:30,880
Speaker 1: To get thirty eight states to sign on to something

2223
02:05:31,040 --> 02:05:35,040
Speaker 1: that is prejudicial, I just think is really assuming the

2224
02:05:35,120 --> 02:05:39,640
Speaker 1: worst about us as a as a country. So I

2225
02:05:40,080 --> 02:05:42,840
Speaker 1: just think that because of what it takes to get

2226
02:05:43,520 --> 02:05:49,080
Speaker 1: a constitutional amendment at it, thirty eight states, you know,

2227
02:05:49,280 --> 02:05:54,640
Speaker 1: plus you know, super majorities when it comes to Congress,

2228
02:05:54,760 --> 02:05:59,760
Speaker 1: I think those are that that I I think provides

2229
02:05:59,840 --> 02:06:03,800
Speaker 1: the buffer right those referendum that you're referring to, know,

2230
02:06:03,920 --> 02:06:06,760
Speaker 1: for we're all fifty percent right. It was all fifty

2231
02:06:06,800 --> 02:06:10,520
Speaker 1: percent plus one, which is why I'm always a little concerned.

2232
02:06:11,000 --> 02:06:14,480
Speaker 1: You know, I have some empathy for those that want

2233
02:06:14,600 --> 02:06:18,000
Speaker 1: to raise the threshold on state constitutional amendments to sixty

2234
02:06:18,120 --> 02:06:18,800
Speaker 1: rather than fifty.

2235
02:06:18,840 --> 02:06:19,000
Speaker 2: Now.

2236
02:06:19,800 --> 02:06:22,360
Speaker 1: I think the motivation for it is very political and

2237
02:06:22,480 --> 02:06:26,480
Speaker 1: very ideological, but I think the principle of it I

2238
02:06:27,040 --> 02:06:30,880
Speaker 1: sort of, like I said, I'm I empathize with it.

2239
02:06:31,400 --> 02:06:34,960
Speaker 1: I think that when you're trying to put something sort

2240
02:06:35,000 --> 02:06:39,040
Speaker 1: of in legal cement right, which is what a constitutional

2241
02:06:39,080 --> 02:06:41,600
Speaker 1: amendment is putting in an either state level or at

2242
02:06:41,600 --> 02:06:45,480
Speaker 1: a federal level, that that shouldn't be a simple majority.

2243
02:06:45,760 --> 02:06:50,400
Speaker 1: So that I take your point. It's a very fair example,

2244
02:06:51,680 --> 02:06:56,600
Speaker 1: but it also look at how public sentiment. I think

2245
02:06:56,640 --> 02:07:00,000
Speaker 1: if public sentiment had been negative towards same sex marriage,

2246
02:07:00,200 --> 02:07:01,640
Speaker 1: I don't know. If the Supreme Court does what it

2247
02:07:01,720 --> 02:07:06,640
Speaker 1: does right, the shift in acceptance mattered too in that,

2248
02:07:06,920 --> 02:07:11,560
Speaker 1: which means public opinion did end up end up in

2249
02:07:11,640 --> 02:07:12,160
Speaker 1: the right place.

2250
02:07:12,240 --> 02:07:12,440
Speaker 2: On that.

2251
02:07:16,480 --> 02:07:19,960
Speaker 1: Reminder, next week, I am going to empty the mailbag.

2252
02:07:20,120 --> 02:07:22,839
Speaker 1: So if you've got questions, if you want to do races,

2253
02:07:22,880 --> 02:07:26,520
Speaker 1: if you want to do individual Senate House battleground stage,

2254
02:07:26,680 --> 02:07:31,640
Speaker 1: college football, constitutional conventions, more poly market. I'd love if

2255
02:07:31,640 --> 02:07:36,040
Speaker 1: you guys get some reaction everything was one sided. I'd

2256
02:07:36,080 --> 02:07:39,240
Speaker 1: love to hear from those that are pro betting markets.

2257
02:07:39,320 --> 02:07:44,360
Speaker 1: Give me your best tastes. Why you think I'm clutching

2258
02:07:44,400 --> 02:07:46,960
Speaker 1: my pearls too much on this one. For those of

2259
02:07:47,080 --> 02:07:49,800
Speaker 1: you that think that, I would love to hear the

2260
02:07:49,960 --> 02:07:53,240
Speaker 1: best arguments in favor of being able to bet on

2261
02:07:53,280 --> 02:07:55,320
Speaker 1: who the next VET chair is and why that is

2262
02:07:55,360 --> 02:07:59,840
Speaker 1: a good thing, So please send me that stuff as well.

2263
02:08:08,320 --> 02:08:13,200
Speaker 1: All right, well that I can't not do an update

2264
02:08:13,240 --> 02:08:15,600
Speaker 1: on college football. I am going to the Texas A

2265
02:08:15,680 --> 02:08:18,000
Speaker 1: and M game. I'm looking forward. I'm going to be

2266
02:08:18,080 --> 02:08:21,800
Speaker 1: tailgating with my friend Chris Alissa, who is married into

2267
02:08:21,880 --> 02:08:25,480
Speaker 1: an Aggie family, so I will hear a lot of Gigham.

2268
02:08:26,000 --> 02:08:28,760
Speaker 1: I guess what I'm really hoping for is the only

2269
02:08:28,840 --> 02:08:34,000
Speaker 1: thing I want to experience that's positive in college station

2270
02:08:34,480 --> 02:08:38,640
Speaker 1: is tailgate barbecue. So if any of you Aggie fans

2271
02:08:38,720 --> 02:08:40,920
Speaker 1: out there, if you want to be generous to a

2272
02:08:41,040 --> 02:08:44,800
Speaker 1: Hurricane fan before the game, give me some thoughts on

2273
02:08:44,960 --> 02:08:48,520
Speaker 1: getting some good tailgate barbecue Texas barbecue while I'm down there.

2274
02:08:49,320 --> 02:08:53,840
Speaker 1: That's what That's what my daughter and I I think

2275
02:08:53,920 --> 02:08:56,960
Speaker 1: we would both be interested in on that front. So

2276
02:08:57,040 --> 02:08:59,880
Speaker 1: I'm looking forward to that's my first. I will be

2277
02:09:00,120 --> 02:09:03,800
Speaker 1: my fourth hundred thousand plus college stadium that I've been

2278
02:09:03,840 --> 02:09:07,800
Speaker 1: to and experienced a game at. So I've been to

2279
02:09:09,480 --> 02:09:13,560
Speaker 1: the Rose Bowl for four. Rose Bowl Miami's only appearance

2280
02:09:13,600 --> 02:09:15,400
Speaker 1: in the Rose Bowl, they won a national title. I

2281
02:09:15,480 --> 02:09:17,560
Speaker 1: believe that was over one hundred thousand. I've been to

2282
02:09:17,720 --> 02:09:20,280
Speaker 1: a Miami Tennessee game that Miami won that was over

2283
02:09:20,280 --> 02:09:21,800
Speaker 1: one hundred thousand. And I've been to a Biay Penn

2284
02:09:21,840 --> 02:09:24,640
Speaker 1: State game that Miami won. So hopefully that streak will

2285
02:09:24,680 --> 02:09:30,560
Speaker 1: continue because we're you know as well, so hopefully that'll happen. Look,

2286
02:09:30,640 --> 02:09:33,640
Speaker 1: I'm I'm very I want to be bullish about my Hurricanes,

2287
02:09:33,680 --> 02:09:38,200
Speaker 1: both as a fan and you know, Miami is always

2288
02:09:38,240 --> 02:09:43,200
Speaker 1: better in an underdog role when they're better. I think

2289
02:09:43,280 --> 02:09:45,480
Speaker 1: Mario crystalbal is a better underdog than he is as

2290
02:09:45,520 --> 02:09:49,640
Speaker 1: a favorite in that sense. I like our chances. I

2291
02:09:49,840 --> 02:09:51,600
Speaker 1: like the fact that we're not playing a night game

2292
02:09:51,800 --> 02:09:54,280
Speaker 1: down there with the twelfth Man that we're playing a

2293
02:09:54,400 --> 02:09:57,000
Speaker 1: day game. It's just going to be you know, I

2294
02:09:57,040 --> 02:09:59,880
Speaker 1: don't know how early Aggie fans are going to get

2295
02:09:59,920 --> 02:10:01,760
Speaker 1: up to start getting moved up for that game, but

2296
02:10:01,960 --> 02:10:05,000
Speaker 1: my goodness, you're gonna I think by the eleven am

2297
02:10:05,160 --> 02:10:08,760
Speaker 1: local kickoff it won't be as loud and crazy as

2298
02:10:08,800 --> 02:10:10,560
Speaker 1: it would be if it had been a seven pm

2299
02:10:10,680 --> 02:10:15,600
Speaker 1: local kickoff. So I think the I think the the

2300
02:10:16,280 --> 02:10:18,720
Speaker 1: the programmers at ESPN that they chose not to make

2301
02:10:19,520 --> 02:10:22,200
Speaker 1: probably the best game of the first round of the

2302
02:10:22,200 --> 02:10:24,800
Speaker 1: College Football Playoff. The fact they didn't put that sucker

2303
02:10:24,840 --> 02:10:28,920
Speaker 1: in primetime is or make that the Friday night game

2304
02:10:29,160 --> 02:10:31,280
Speaker 1: is a bit of a head scratcher. I don't think

2305
02:10:31,280 --> 02:10:33,560
Speaker 1: the Alabama Oklahoma game is going to be all that interesting.

2306
02:10:35,200 --> 02:10:37,560
Speaker 1: Well you know, I think it'll be an ugly, low

2307
02:10:37,680 --> 02:10:43,280
Speaker 1: scoring affair where for where very where Alabama is in

2308
02:10:43,320 --> 02:10:47,320
Speaker 1: almost the same spot Ohio State was in last year,

2309
02:10:47,680 --> 02:10:51,560
Speaker 1: where had Ohio State lost to Tennessee, Ryan Day would

2310
02:10:51,560 --> 02:10:54,080
Speaker 1: have been fired. Instead, he beats Tennessee and wins the

2311
02:10:54,160 --> 02:10:56,560
Speaker 1: national title, and now he's got some job security for

2312
02:10:56,600 --> 02:11:00,520
Speaker 1: a few years. I'm not saying Alabama will fight Kaylen

2313
02:11:00,520 --> 02:11:03,200
Speaker 1: de boor if he gets a fourth loss here, but

2314
02:11:03,360 --> 02:11:06,480
Speaker 1: it would be what third loss? Three losses out of

2315
02:11:06,760 --> 02:11:10,040
Speaker 1: in the last five games if they end up and

2316
02:11:10,280 --> 02:11:17,600
Speaker 1: twice to Oklahoma team that barely registered on offense. And

2317
02:11:17,760 --> 02:11:19,960
Speaker 1: I will say this, I thought, Kaylen de Bor's I'm

2318
02:11:20,000 --> 02:11:22,000
Speaker 1: not going I'm going to be the coach of Alabama

2319
02:11:22,200 --> 02:11:26,000
Speaker 1: explanation took him way too long to get to that conclusion.

2320
02:11:26,240 --> 02:11:30,400
Speaker 1: During that press conference. It was Paul Feinbaum seemed to

2321
02:11:30,480 --> 02:11:32,120
Speaker 1: have noted this because there was a lot of world

2322
02:11:32,240 --> 02:11:34,640
Speaker 1: salad when he simply could have said, no, I'm not

2323
02:11:34,840 --> 02:11:36,880
Speaker 1: Why would I ever leave Alabama? This is the best

2324
02:11:36,960 --> 02:11:39,839
Speaker 1: job in college football. Why was that not the easiest

2325
02:11:39,880 --> 02:11:42,480
Speaker 1: answer to say? The fact that that wasn't instinctively his

2326
02:11:42,600 --> 02:11:46,880
Speaker 1: first answer tells me someone is not somebody's not loving

2327
02:11:47,120 --> 02:11:49,200
Speaker 1: having to be the heir apparent to Nick Saban, because

2328
02:11:50,440 --> 02:11:53,240
Speaker 1: as somebody who knows the little things about air parents

2329
02:11:53,320 --> 02:11:56,680
Speaker 1: or not, Let's say, you don't want to follow immediately

2330
02:11:56,880 --> 02:11:59,720
Speaker 1: follow a legend like Nicksaban. You want to be the

2331
02:11:59,760 --> 02:12:04,440
Speaker 1: guy after the guy. And I think my guess is

2332
02:12:04,480 --> 02:12:07,320
Speaker 1: that calein de Boor. He strikes me as a guy

2333
02:12:07,320 --> 02:12:09,720
Speaker 1: who's all of his experiences in the Midwest or the

2334
02:12:09,800 --> 02:12:13,360
Speaker 1: northern tier. Right, all of his small college experience was

2335
02:12:13,400 --> 02:12:15,960
Speaker 1: up there. He's not a guy of the South, didn't

2336
02:12:16,040 --> 02:12:18,480
Speaker 1: have as much experience recruiting in the South and all

2337
02:12:18,520 --> 02:12:22,879
Speaker 1: of that. So I I wonder if he's just culturally

2338
02:12:23,000 --> 02:12:26,800
Speaker 1: not been the right fit, and I would I remember

2339
02:12:26,920 --> 02:12:29,560
Speaker 1: being surprised that they he was certainly the hottest coach

2340
02:12:29,640 --> 02:12:34,440
Speaker 1: to hire, But in hindsight, you know, the smarter hire

2341
02:12:34,480 --> 02:12:36,640
Speaker 1: would have been a former somebody who had been on

2342
02:12:36,760 --> 02:12:39,680
Speaker 1: Saban's staff. Oh, I don't know, somebody named Kurt Signetti.

2343
02:12:40,400 --> 02:12:41,600
Speaker 1: Well easy to say that now.

2344
02:12:41,640 --> 02:12:41,880
Speaker 2: Isn't it.

2345
02:12:43,920 --> 02:12:47,240
Speaker 1: But anyway, I look, I'm weirdly bullish. And if Miami

2346
02:12:47,280 --> 02:12:49,680
Speaker 1: gets through this, they would play Ohio State. And what

2347
02:12:49,800 --> 02:12:52,839
Speaker 1: I love about Miami's path is it's the single hardest

2348
02:12:52,920 --> 02:12:57,160
Speaker 1: path to win a national title. And and for Miami's purposes,

2349
02:12:57,160 --> 02:12:59,000
Speaker 1: I wouldn't want it no other way. Right, there is

2350
02:12:59,080 --> 02:13:01,200
Speaker 1: a lot of question marks about the ACC, a lot

2351
02:13:01,280 --> 02:13:04,280
Speaker 1: of question marks about Mario Crystabal. Well, the best way

2352
02:13:04,320 --> 02:13:06,760
Speaker 1: to erase those question marks beat A and M on

2353
02:13:06,840 --> 02:13:09,000
Speaker 1: the road, and then beat Ohio State, and then after

2354
02:13:09,080 --> 02:13:09,960
Speaker 1: that everything is gravy.

2355
02:13:10,560 --> 02:13:10,720
Speaker 2: You know.

2356
02:13:10,920 --> 02:13:15,040
Speaker 1: For me, my expectations are I'm extraordinarily disappointed if we

2357
02:13:15,080 --> 02:13:17,920
Speaker 1: can't win one game. I expect to win one game.

2358
02:13:18,720 --> 02:13:22,520
Speaker 1: I will be disappointed if we don't win two. I

2359
02:13:22,680 --> 02:13:25,960
Speaker 1: will be happy if we can get to the Semis.

2360
02:13:26,680 --> 02:13:29,360
Speaker 1: And then it's Carson Beck versus his old team in Georgia.

2361
02:13:29,400 --> 02:13:32,120
Speaker 1: That would be a fun one, right, great storyline. There's

2362
02:13:32,160 --> 02:13:35,840
Speaker 1: some fun storylines for Miami in various right being able

2363
02:13:35,880 --> 02:13:38,240
Speaker 1: to play Ohio State a nemesis. You know, the last

2364
02:13:38,240 --> 02:13:41,200
Speaker 1: time Miami played for a national title, Ohio State, with

2365
02:13:41,320 --> 02:13:44,000
Speaker 1: the assistance of a referee, stole that national title from him.

2366
02:13:44,120 --> 02:13:46,280
Speaker 1: So we got a little bit of there. Georgia. It's

2367
02:13:46,360 --> 02:13:49,360
Speaker 1: Carson Beck versus his old team. How about a Miami

2368
02:13:49,440 --> 02:13:53,040
Speaker 1: Oregon matchup Mario crystal ball coaching against his old team.

2369
02:13:53,200 --> 02:13:58,880
Speaker 1: So some fun, interesting storylines that could develop. But if

2370
02:13:58,920 --> 02:14:02,240
Speaker 1: there is any pressure, I you know, it's interesting. I

2371
02:14:02,280 --> 02:14:05,240
Speaker 1: think both Miami and A and M have unique pressure. Right.

2372
02:14:05,280 --> 02:14:06,920
Speaker 1: A and M doesn't want to have to lost like

2373
02:14:07,400 --> 02:14:10,480
Speaker 1: two of its last three, you know, when they could

2374
02:14:10,480 --> 02:14:12,320
Speaker 1: have almost lost three in a row, right, they lost

2375
02:14:12,360 --> 02:14:15,440
Speaker 1: to Texas, almost lost to South Carolina. All you know,

2376
02:14:15,800 --> 02:14:19,080
Speaker 1: A and M has always had this, They're always really

2377
02:14:19,200 --> 02:14:22,480
Speaker 1: close to being a top tier college football program, but

2378
02:14:22,600 --> 02:14:26,000
Speaker 1: for some reason they stumble right, and this would fit

2379
02:14:26,080 --> 02:14:29,000
Speaker 1: a pattern for them ever since Miami's tried to come back.

2380
02:14:29,120 --> 02:14:30,040
Speaker 1: Right is the U back?

2381
02:14:30,160 --> 02:14:30,800
Speaker 2: Is the U back?

2382
02:14:30,880 --> 02:14:32,360
Speaker 1: And it looks like we get there and then we

2383
02:14:32,920 --> 02:14:35,880
Speaker 1: stub our toe not beating Texas A and m Right,

2384
02:14:35,960 --> 02:14:38,840
Speaker 1: that would just add to the lore. Can Mario Crystal

2385
02:14:38,880 --> 02:14:39,720
Speaker 1: Ball win big games?

2386
02:14:39,800 --> 02:14:39,920
Speaker 2: Right?

2387
02:14:39,960 --> 02:14:41,520
Speaker 1: So there's a little bit of pressure there, and plus

2388
02:14:41,600 --> 02:14:44,880
Speaker 1: we have the we're carrying the load for a mismanaged

2389
02:14:44,960 --> 02:14:49,400
Speaker 1: conference called the ACC. So that interesting and I am

2390
02:14:49,560 --> 02:14:52,680
Speaker 1: curious to see does the pressure that I think both

2391
02:14:52,800 --> 02:14:57,080
Speaker 1: Elco and Crystal Ball have in this game? How how

2392
02:14:57,200 --> 02:14:59,720
Speaker 1: conservative are they in the first half. I expect a

2393
02:15:00,000 --> 02:15:03,480
Speaker 1: super low scoring first half and then we'll see the

2394
02:15:03,520 --> 02:15:06,800
Speaker 1: playbooks open up as the as sort of desperation kicks

2395
02:15:06,840 --> 02:15:09,880
Speaker 1: in in the third and fourth quarter. But if you

2396
02:15:10,040 --> 02:15:13,760
Speaker 1: told me this was seven to three at halftime, ten

2397
02:15:13,880 --> 02:15:17,840
Speaker 1: to seven, three to three, six to three, right, these

2398
02:15:17,840 --> 02:15:22,920
Speaker 1: are two really good defenses, and you know defenses always travel.

2399
02:15:23,560 --> 02:15:26,839
Speaker 1: Carson Beck on the road has not always been the greatest.

2400
02:15:26,920 --> 02:15:28,560
Speaker 1: The last time he was in the state of Texas,

2401
02:15:28,720 --> 02:15:32,320
Speaker 1: he threw perhaps what would have been the single most

2402
02:15:32,680 --> 02:15:35,280
Speaker 1: important interception that he threw all year, the last one

2403
02:15:35,320 --> 02:15:39,600
Speaker 1: against SMU in overtime. So you know, Beck has something

2404
02:15:39,640 --> 02:15:43,640
Speaker 1: to prove as well. But I'm just happy Miami seems

2405
02:15:43,680 --> 02:15:49,400
Speaker 1: healthy and the quarterback that needs to prove something because

2406
02:15:49,400 --> 02:15:52,320
Speaker 1: he's got a draft coming up, So all the incentives

2407
02:15:52,360 --> 02:15:58,839
Speaker 1: are aligned. We don't win, it's gonna it's gonna be painful.

2408
02:15:59,640 --> 02:16:02,080
Speaker 1: I guess I could accept losing by three or less,

2409
02:16:03,120 --> 02:16:07,880
Speaker 1: but losing is gonna sting this one. You know, it's

2410
02:16:08,040 --> 02:16:11,840
Speaker 1: really proved that Miami is back and belongs in its

2411
02:16:12,000 --> 02:16:14,400
Speaker 1: rightful but what I believe should be the rightful place

2412
02:16:14,560 --> 02:16:18,160
Speaker 1: in the top consistent, top ten program. They gotta win one.

2413
02:16:18,840 --> 02:16:21,400
Speaker 1: They gotta win one in this playoff run at a minimum,

2414
02:16:21,800 --> 02:16:25,200
Speaker 1: and of course my expectation at a minimum is too

2415
02:16:26,760 --> 02:16:30,320
Speaker 1: a few other things on the weekend, Like I said,

2416
02:16:30,760 --> 02:16:35,240
Speaker 1: very curious what happens how Alabama fans react if Alabama

2417
02:16:35,320 --> 02:16:38,200
Speaker 1: loses this game. By the way, at the start of

2418
02:16:38,240 --> 02:16:40,560
Speaker 1: this season, there was some chatter that Brett Vvennables was

2419
02:16:40,600 --> 02:16:42,720
Speaker 1: on the hot seat at Oklahoma. I think it's fair

2420
02:16:42,760 --> 02:16:45,400
Speaker 1: to say that he's bought himself another year or two.

2421
02:16:47,360 --> 02:16:49,600
Speaker 1: Is this offense going to be any better though. This

2422
02:16:49,760 --> 02:16:52,760
Speaker 1: offense has been a it is. And you know, I

2423
02:16:52,840 --> 02:16:55,760
Speaker 1: will say this, Mattier has had more time to get healthy,

2424
02:16:56,600 --> 02:16:59,080
Speaker 1: and I think that's why you're seeing a lot of

2425
02:16:59,240 --> 02:17:01,560
Speaker 1: momentum if a lot of the experts, a lot of

2426
02:17:01,600 --> 02:17:06,640
Speaker 1: people feel better about Oklahoma going into this game, Materiar

2427
02:17:06,720 --> 02:17:11,080
Speaker 1: getting healthier, having more time off. Alabama seems less healthy

2428
02:17:11,640 --> 02:17:13,480
Speaker 1: and they have this sort of this stuff hanging over

2429
02:17:13,520 --> 02:17:15,600
Speaker 1: their head. In fact, I think Oklahoma has like the

2430
02:17:15,680 --> 02:17:17,440
Speaker 1: least amount of turnover that they have to do with.

2431
02:17:17,760 --> 02:17:19,800
Speaker 1: Only Miami I think has less turnover. They don't have

2432
02:17:19,920 --> 02:17:22,520
Speaker 1: coaches going to other jobs or anything like that. Orgon's

2433
02:17:22,560 --> 02:17:25,640
Speaker 1: got two assistants that are beginning that will be beginning

2434
02:17:25,680 --> 02:17:29,880
Speaker 1: head coaching stints. So you know that also could be

2435
02:17:29,920 --> 02:17:32,560
Speaker 1: a factor of the two long shot ones. Right, we

2436
02:17:32,640 --> 02:17:34,560
Speaker 1: have our group of five playoff games, right, you have

2437
02:17:34,640 --> 02:17:39,520
Speaker 1: two lane oh miss. I will say this, the fact

2438
02:17:39,560 --> 02:17:42,360
Speaker 1: that Tulane's played them once, that's got to matter for something.

2439
02:17:43,680 --> 02:17:47,400
Speaker 1: And obviously you'll have a different I smell a lower

2440
02:17:47,480 --> 02:17:51,280
Speaker 1: scoring game in that one, particularly a lower scoring first half.

2441
02:17:54,000 --> 02:18:00,920
Speaker 1: As for Oregon, that's one of those where't be surprised

2442
02:18:01,000 --> 02:18:06,120
Speaker 1: if James Madison JMU tries all sorts of crazy things

2443
02:18:06,200 --> 02:18:09,400
Speaker 1: in the first quarter. You'll see fake punts, You'll see

2444
02:18:09,520 --> 02:18:13,119
Speaker 1: trick plays, fleet flickers, all of these things, and it's

2445
02:18:13,160 --> 02:18:15,600
Speaker 1: one of those can they get a shock early touchdown?

2446
02:18:16,120 --> 02:18:21,160
Speaker 1: Right like you know I it would if you told me, wow,

2447
02:18:21,360 --> 02:18:24,959
Speaker 1: jmu's up ten to three. Wow JMU lost forty one

2448
02:18:25,000 --> 02:18:28,160
Speaker 1: to ten, right like that, if you told me we

2449
02:18:28,520 --> 02:18:30,360
Speaker 1: had a sort of pattern like that, Because I do

2450
02:18:30,560 --> 02:18:35,800
Speaker 1: think you'll see, like the what should be fun about

2451
02:18:36,160 --> 02:18:39,240
Speaker 1: watching JMU is they talk about playing with house money.

2452
02:18:39,280 --> 02:18:42,200
Speaker 1: They got nothing to lose. It is not about just

2453
02:18:42,560 --> 02:18:46,680
Speaker 1: you know, trying to cover the spread. I think you're

2454
02:18:46,720 --> 02:18:49,360
Speaker 1: going to see some innovation and at least a lot

2455
02:18:49,400 --> 02:18:53,119
Speaker 1: of trick plays, which could make at least fun. I'll

2456
02:18:53,160 --> 02:18:55,040
Speaker 1: be I wonder if we have it as much of

2457
02:18:55,120 --> 02:18:59,400
Speaker 1: that with Tulane or not. Look Tulane, they're the you

2458
02:18:59,480 --> 02:19:03,920
Speaker 1: know as a program, they're you know them South Florida,

2459
02:19:04,760 --> 02:19:09,960
Speaker 1: ut SA maybe to North Texas like they're the they're

2460
02:19:10,000 --> 02:19:13,280
Speaker 1: the group of five teams that in their head think

2461
02:19:13,440 --> 02:19:17,320
Speaker 1: that you know, if the power four expands by another

2462
02:19:17,400 --> 02:19:20,800
Speaker 1: four or six schools, right, or if the ACC. You know,

2463
02:19:21,120 --> 02:19:23,240
Speaker 1: if the best teams from the ACC go end up

2464
02:19:23,280 --> 02:19:25,920
Speaker 1: in the Big ten in the SEC, then the ACC

2465
02:19:26,120 --> 02:19:29,600
Speaker 1: replaces those teams with North Texas, South Florida, ut SA,

2466
02:19:29,680 --> 02:19:33,560
Speaker 1: and Tulane. I think they're the they're the first. They're

2467
02:19:33,600 --> 02:19:37,560
Speaker 1: among the first four programs that could get the call

2468
02:19:37,720 --> 02:19:43,520
Speaker 1: up to the ACC. In particular, if the ACC loses,

2469
02:19:44,040 --> 02:19:47,600
Speaker 1: UH loses a bunch of folks there. So look for

2470
02:19:47,640 --> 02:19:49,120
Speaker 1: those of you that know me really well, know that

2471
02:19:49,480 --> 02:19:53,440
Speaker 1: Saturday is probably the biggest single day, UH in my

2472
02:19:53,680 --> 02:19:55,959
Speaker 1: personal football fandom that I've had in a long time,

2473
02:19:55,959 --> 02:19:58,760
Speaker 1: because my Packers have to play the Bears on Saturday

2474
02:19:58,800 --> 02:20:02,440
Speaker 1: night in Chicago, and it is for the division winner

2475
02:20:02,600 --> 02:20:04,920
Speaker 1: is likely going to win the division. Loser is going

2476
02:20:05,000 --> 02:20:08,800
Speaker 1: to be stuck going on the road playing either Tampa

2477
02:20:09,440 --> 02:20:14,800
Speaker 1: Carolina whoever wins that South Division, or maybe having to

2478
02:20:14,840 --> 02:20:18,280
Speaker 1: play the Eagles, a beating up Eagles team, but either

2479
02:20:18,320 --> 02:20:20,680
Speaker 1: way having to start the playoff. You if the Packers

2480
02:20:20,760 --> 02:20:22,840
Speaker 1: want to host a playoff game, they got to win

2481
02:20:22,920 --> 02:20:27,960
Speaker 1: Saturday night. So I got my Hurricanes at lunch and

2482
02:20:28,120 --> 02:20:32,080
Speaker 1: my Packers for dinner. I'm just hoping that the Aggies

2483
02:20:32,120 --> 02:20:34,760
Speaker 1: don't have my Hurricanes for lunch and the Bears don't

2484
02:20:34,800 --> 02:20:37,840
Speaker 1: have my packers for dinner. All right, with that, there's

2485
02:20:37,879 --> 02:20:43,560
Speaker 1: my college football finat. Remember fan is short for fanatic,

2486
02:20:43,840 --> 02:20:47,440
Speaker 1: and I fully accept that I am fanatical about my

2487
02:20:47,560 --> 02:20:49,800
Speaker 1: Packers and about my Hurricanes. By the way, I'm also

2488
02:20:49,879 --> 02:20:52,120
Speaker 1: in my fantasy football playoffs, in case you're wondering there,

2489
02:20:52,400 --> 02:20:55,160
Speaker 1: I was seven and seven, I got the last spot,

2490
02:20:55,760 --> 02:20:58,720
Speaker 1: and I'm already in my semi finals. That's how you

2491
02:20:58,840 --> 02:21:01,960
Speaker 1: do it, That's how you get lucky. Is all honesty.

2492
02:21:02,120 --> 02:21:04,560
Speaker 1: Thank you, mister Etn for getting more than one touchdown

2493
02:21:04,640 --> 02:21:08,560
Speaker 1: last week. Okay, so with that, I'm gonna enjoy your weekend,

2494
02:21:08,920 --> 02:21:12,800
Speaker 1: enjoy college football. If you like this podcast at all,

2495
02:21:13,200 --> 02:21:15,840
Speaker 1: send some good vibes down to College Station on behalf

2496
02:21:15,840 --> 02:21:18,280
Speaker 1: of my Mind Hurricanes, and from there I'll see I'm

2497
02:21:18,320 --> 02:21:18,640
Speaker 1: my mone