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Speaker 1: Welcome to a Numbers Game podcast. Thank you guys again

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Speaker 1: for being here for another week. My episode earlier in

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Speaker 1: the week on Monday on polling was a big hit

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Speaker 1: with listeners. A lot of people found it super interesting.

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Speaker 1: I think going onto the campaign season further around a

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Speaker 1: lot more episodes like that. We're going to be talking

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Speaker 1: about the roundup of Trump's first one hundred days and

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Speaker 1: then upcoming elections in New York City, Virginia, New Jersey,

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Speaker 1: all leading up to the twenty twenty six midterms. I

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Speaker 1: know that seems very far away, but it will go

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Speaker 1: by fast. It'll be go by in a blink of

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Speaker 1: an eye. And we hope that you this will be

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Speaker 1: the podcast for everyone interested in elections and data and

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Speaker 1: what's coming up. So please like and subscribe if you can.

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Speaker 1: All right, interesting poll came out over the course of

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Speaker 1: the week and it was from Yale, the Yale the

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Speaker 1: Youth Poll, and it looked at forty one hundred people

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Speaker 1: between the ages of eighteen to twenty nine, and it

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Speaker 1: found that voters between the ages of eighteen to twenty one,

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Speaker 1: looking at the upcoming twenty twenty six midterm elections, were

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Speaker 1: the most Republican of any voter, they were going to

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Speaker 1: vote for Republicans by a twelve point margin, while voters

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Speaker 1: between the age of twenty two and twenty nine were

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Speaker 1: voting Democrat by six points. They were the I think

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Speaker 1: they were the most democratic of the second most democratic.

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Speaker 1: That is a tremendous shift. That is a shift that

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Speaker 1: we saw in the twenty twenty four elections, and it

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Speaker 1: shows that Trump was really the catalyst or part of

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Speaker 1: the reason that there was a generational change. I think

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Speaker 1: a lot of it was COVID. I think the lockdowns

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Speaker 1: really affected this demographic, the way that the Iraq War

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Speaker 1: affected my generation, the way that Vietnam affected the Boomer generation,

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Speaker 1: the way that you know, the the Internet or the

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Speaker 1: Reagan era, or rather the Reagan era affected gen xers.

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Speaker 1: I think that this was COVID was a defining issue

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Speaker 1: that turned a lot of young people, irregardless of other

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Speaker 1: things that would make them Democrats into Republicans. So that

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Speaker 1: was very, very very interesting. We'll see if it continues

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Speaker 1: into the twenty twenty six mid term elections. Republicans are

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Speaker 1: climbing up hill in the midterm elections because of Justice.

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Speaker 1: The Republicans can all the White House in the Congress,

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Speaker 1: and typically in historical references, the opposing party usually wins

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Speaker 1: the House representatives. That only hasn't happened I think since

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Speaker 1: two for two thousand and two, so it's been quite

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Speaker 1: some time. In nine to eleven had just happened. So

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Speaker 1: I think that there's a big, big, possible way that

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Speaker 1: Republicans might see some surprising victories if young people actually

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Speaker 1: show up and turn out and go vote. They don't

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Speaker 1: have the best history of voting, but who knows, this

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Speaker 1: could be the year that everything happens. Another interesting thing

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Speaker 1: also came out today was from not Today this week,

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Speaker 1: rather was from the Amherst Pole was an Amherst you

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Speaker 1: gov poll and they asked voters, if you had the

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Speaker 1: opportunity to change your vote, would you Because we see

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Speaker 1: this through the mainstream media all the time. Oh, these Republicans,

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Speaker 1: these Trump voters, they're just they're agonizing. They're so upset

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Speaker 1: that they voted for Trump. They can't believe. But they're so apologetic.

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Speaker 1: They're on their hands and knees, you know, the front

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Speaker 1: of the office of MSNBC and CNN and saying, please

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Speaker 1: forgive us for our sins. Well, they found that university

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Speaker 1: of Amhmherst you Go poll found it only two percent

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Speaker 1: of Trump voters from the twenty twenty four elections said

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Speaker 1: that they regret their vote and would change it. Two

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Speaker 1: percent is not an army of people, is not loads

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Speaker 1: of people. It is not you know, it is not

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Speaker 1: what the meat is making out to be. It is

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Speaker 1: a very very small fraction of Trump's very unique, large

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Speaker 1: and different coalition that he built. He built on the

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Speaker 1: backs of populism of the Maha moms and make America

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Speaker 1: Healthy Again moms. I actually don't like the phrase Maha,

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Speaker 1: but that movement that RFK did it that he brought

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Speaker 1: in his coalition, bringing in interesting young people, having a

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Speaker 1: young vice president. All of that stuff was his coalition

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Speaker 1: and it's for the most part holding his question of

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Speaker 1: will they vote with me? This week to talk about

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Speaker 1: the Trump coalition and populism is the great writer Batsya

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Speaker 1: Unger Sargon. You've seen her everywhere, kirk Klipscho viral constantly.

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Speaker 1: She was on Bill maher recently and that was huge,

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Speaker 1: and she was out there defending Trump on the tariffs.

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Speaker 1: We have a very interesting conversation coming up about populism,

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Speaker 1: the Trump coalition, and the future of the Republican Party.

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Speaker 1: Please stay tuned. Our guest for this week is the

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Speaker 1: iconic Batsia Unger Sargon. She is the author of two books,

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Speaker 1: including Second Class, How the Elites Betrayed Americans Men, America's

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Speaker 1: Men and Women, and a columnist at The Free Press. Basia,

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Speaker 1: thank you for being here.

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Speaker 2: Thank you so much for having me. I am a huge,

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Speaker 2: huge Ryan Stan.

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Speaker 3: I would even.

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Speaker 2: Say, I would go so far as to say, so,

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Speaker 2: this is a real pleasure. It's been so exciting watching

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Speaker 2: this podcast.

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Speaker 3: Absolutely blow up.

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Speaker 2: You deserve it. And everywhere you go, smart things are

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Speaker 2: said and narratives are blown up, and.

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Speaker 3: You're just not afraid to say the truth. So thank you.

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Speaker 1: There's anyone who's blome narratives, it's you on especially when

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Speaker 1: you're on Bill Maher. That went viral as anything, where

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Speaker 1: you sat there and said, I am from the left

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Speaker 1: and Donald Trump is my candidate, and I think he

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Speaker 1: was You think that he was expecting you to say, oh,

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Speaker 1: I am you know, oh I understand your opinion now

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Speaker 1: or like because I think he basically was like, ah,

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Speaker 1: that doesn't make any sense. Do you think that you

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Speaker 1: were going to win him along? For that?

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Speaker 2: He was clearly expecting me to say what all of

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Speaker 2: the conservatives on his show seemed to say, which is like,

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Speaker 2: you know, yeah, we're Republicans. We don't like the far left,

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Speaker 2: we don't like the wokeness, but we really don't like

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Speaker 2: Trump either. And I was like, no, I am on

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Speaker 2: the left and I really love Trump. I'm a maga lefty,

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Speaker 2: and here are all the reasons why. And I felt

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Speaker 2: like he was sort of like he wanted to understand me,

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Speaker 2: but I think more than that, he wanted to want

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Speaker 2: to understand me, but what he really wanted to do

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Speaker 2: was make fun of me, and so he sort of

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Speaker 2: went back and forth between those two. It was actually

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Speaker 2: a really nice conversation. But the thing I learned from

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Speaker 2: that is there's a narrative being fed to people on

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Speaker 2: the left into Democrats, mostly by like CNN and MSNBC,

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Speaker 2: which is that Trump voters like regret it, you know,

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Speaker 2: like they'll find like the one Trump voter you know

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Speaker 2: who's like, oh this is not what I vote voted for,

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Speaker 2: and like have them on like every single day, and

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Speaker 2: meanwhile we're out here being like I cannot believe how

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Speaker 2: well this is going, Like I did not know a

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Speaker 2: person could work this hard, or a person could keep

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Speaker 2: so many promises. Like it's just like that split screen

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Speaker 2: between what they think we're feeling and what we're actually

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Speaker 2: feeling is real and it's deep, and they're like sitting

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Speaker 2: there like like in this fantasy, right, like that there's

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Speaker 2: all of this regret and they're just setting themselves up

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Speaker 2: to fail.

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Speaker 3: I think like again and again and again, right.

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Speaker 1: And I mentioned earlier in the podcast with the Universe,

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Speaker 1: there's a universe of Amherst Pole, that University Amherst you

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Speaker 1: gut poll that said only two percent of Trump supporters

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Speaker 1: that they would vote for a different candidate given the opportunity,

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Speaker 1: which if you watched I don't watch CNN anymore, not

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Speaker 1: since I've not been on it, but if you watched

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Speaker 1: the mainstream even left on on Twitter, they had this

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Speaker 1: belief that there is just you know, readlines full of

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Speaker 1: you know, Trump supporters and who are like, oh man,

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Speaker 1: I got it wrong this time, you know, And I

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Speaker 1: have not found that in my regular life. There are

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Speaker 1: moments of frustration with Trump because I think part of

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Speaker 1: part of the problem is he tends to be all

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Speaker 1: things to all people, so you don't always know what

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Speaker 1: you're going to get. And there are times are I

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Speaker 1: don't you know, I'm like, oh well, I'm not really

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Speaker 1: font down with that one, like on the gold cards,

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Speaker 1: but there are. But I would trade all of that

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Speaker 1: for the anti DEI stuff for the immigration stuff. And

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Speaker 1: I was when I was coming up of age, I

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Speaker 1: was eighteen years old. I was Regidemocrat, a Reagi Democrat

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Speaker 1: because I opposed Iraq war. That was my issue. I

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Speaker 1: was posed Iraq war and I was against amnesty for

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Speaker 1: illegal immigrants. Those are the only two world views I

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Speaker 1: even had, only political political opinions I had. And so

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Speaker 1: I think I was a Democratic like a year and

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Speaker 1: I was like, well, this is not going to work out.

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Speaker 1: But but I understand that voter though who of coming

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Speaker 1: of age, we're not that different in age. You and

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Speaker 1: I who during the Bush years, really were like this

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Speaker 1: was not for me. And two, I think people a

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Speaker 1: little older than us who are frozen more in time

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Speaker 1: and think of the Republican Party as still the party

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Speaker 1: of evangelical Christians from the Bush era. They don't even

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Speaker 1: know how to frame the arguments anymore. Do you find

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Speaker 1: the same thing?

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Speaker 2: Oh yeah, absolutely, yeah, it's so wild. How nimble Republican

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Speaker 2: voters have proven to be in accommodating the enthusiasm of

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Speaker 2: younger people in the Republican Party and saying, Okay, yeah,

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Speaker 2: failed wars, we're going to be anti war, you know.

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Speaker 2: Oh yeah, okay, the social conservatism is a bit much

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Speaker 2: for the younger generation, will be moderate.

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Speaker 3: It's you know, you know, oh.

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Speaker 2: Free trade, Wow, that really didn't work out. And now

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Speaker 2: there are all these working class people who look to

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Speaker 2: us as a home. Maybe we should deliver for them.

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Speaker 2: And meanwhile, how stuck in the past the Democrats have been.

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Speaker 2: I don't think it's real on their part, because I

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Speaker 2: think that they know that they lost labor, they know

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Speaker 2: that they lost the working class, and they know what

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Speaker 2: they did to lose them, which is they made this

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Speaker 2: sort of deal with the devil, with the credentialed class

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Speaker 2: and the sort of NGO soroast world, right, all of

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Speaker 2: whom endorse these vanity morals because they're so wealthy. So

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Speaker 2: they sort of traded up in their view, but they

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Speaker 2: can't admit that because to admit that would be to

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Speaker 2: admit that they're the party of the rich.

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Speaker 3: It's so funny.

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Speaker 2: I was talking to somebody the other day in a

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Speaker 2: green room, and he said, well, you know, I'm sort

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Speaker 2: of like a classical like I want, you know, free trade,

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Speaker 2: and I want us to stand with our allies, and

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Speaker 2: you know, I'm sort of a classical Republican. And I

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Speaker 2: said to him, you know, in two years, you'll be

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Speaker 2: able to vote for a Democrat and feel really good

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Speaker 2: about yourself, because that's really what the Democratic Party now

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Speaker 2: stands for, right is like foreign intervention, massive funding of

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Speaker 2: American exceptionalism, regime change, and free trade with China. Whereas

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Speaker 2: it's the Republicans who have proven really nimble and able

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Speaker 2: under you know, the austice of Donald Trump to sort

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Speaker 2: of change. There are a few I don't like the

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Speaker 2: gold card either, but I've had the opposite reaction to

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Speaker 2: where I've had experiences where I'm like, you know, he's

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Speaker 2: probably not going to be great on this, and then

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Speaker 2: he'll turn around and be great on it, Like I

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Speaker 2: don't know if you read the report from Axios from

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Speaker 2: Markaputa that came out that when Trump heard that Elon

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Speaker 2: Musk was supposed to be in that briefing on China,

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Speaker 2: Trump actually said, what the f is Elon doing here?

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Speaker 2: Make sure he doesn't go because.

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Speaker 1: Twitter, when you tweeted that, that's how I found that story.

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Speaker 1: I literally read it really big deal, like.

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Speaker 2: He really understands the conflict of interest that Elon Musk has.

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Speaker 2: People don't get this because they see, oh Tesla, like,

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Speaker 2: you know they're made, you know, eighty seven percent are

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Speaker 2: made in America.

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Speaker 3: Well that's true of the.

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Speaker 2: Cars that are sold here, but most Teslas are not

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Speaker 2: sold in America. And every Tesla that's not sold in

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Speaker 2: America is made one hundred percent in China in Shanghai.

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Speaker 2: Elon Musk hat a choice to make his European and

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Speaker 2: Chinese sold cars here, and he chose.

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Speaker 3: Instead to make them in China.

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Speaker 2: And Donald Trump one hundred percent understands that Elon Musk's

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Speaker 2: fortune exists at the largesse of Jijiping, and so I

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Speaker 2: was very very heartened to see that reporting.

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Speaker 1: I have found that. I mean, there are when I

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Speaker 1: have Christians of the Trump administration overall. A lot of

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Speaker 1: times it's through a communication issue where I sometimes they

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Speaker 1: don't think that they're that clear with their goals. I

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Speaker 1: think with the tariffs, they could have been a lot

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Speaker 1: clearer as to what the goals are because Americas are

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Speaker 1: willing to make sacrifices, but you need to be very

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Speaker 1: articulate in what you are asking people to sacrifice and

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Speaker 1: why and what the intended outcome is. And it was

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Speaker 1: a little messy, and I don't think that the I

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Speaker 1: think the pr could have been better. I agree with

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Speaker 1: the sentiment and the idea, and I also think there's

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Speaker 1: just more than one way to really nail down that

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Speaker 1: issue than than was being done. If it's to bring

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Speaker 1: back manufacturing. One of the easiest things I've said, and

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Speaker 1: I've written an article about this with The American Conservative,

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Speaker 1: is that we spend billions of dollars in the Pentagon

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Speaker 1: on pharmaceutical drugs. It's one of the biggest buyers of

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Speaker 1: pharmacchool drugs in the entire country. We buy from China.

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Speaker 1: Why why doesn't the Pentagon say we're going to give

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Speaker 1: a federal contract to people who make ibuprofen or anti

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Speaker 1: inflammatory drugs, or you know, any kind of drugs but

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Speaker 1: exclusively made in America. And we could even do what

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Speaker 1: Joe Biden was trying to do with some of his stuff,

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Speaker 1: which was place based economics, where we say and preferably

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Speaker 1: the contract has to be made in Wisconsin, or in

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Speaker 1: Michigan or wherever, places that have been affected negatively by

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Speaker 1: the wto stuff and China stuff Like that's a very

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Speaker 1: less I don't want to say it's easy, but it's

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Speaker 1: less intrusive to the market than tariffs would be, and

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Speaker 1: it would be part of a more coe cohesive package

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Speaker 1: if it was all brought together. Do you know what

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Speaker 1: I'm saying, we do.

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Speaker 2: Yeah, I kind of I kind of love. I thought

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Speaker 2: the cast was kind of very important because like the

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Speaker 2: way I say, what Trump is trying to do is

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Speaker 2: he doesn't actually want these huge tariffs on the EU.

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Speaker 2: What he wants from them as a commitment to buy

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Speaker 2: what America is going to start producing. And I think

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Speaker 2: what he's trying to organize as a kind of soft

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Speaker 2: embargo on China, like a global embargo. In order for

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Speaker 2: this whole thing to work, we need partners because we're

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Speaker 2: going to start wanting to sell. He wants basically for

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Speaker 2: us to be able to sell more to our allies

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Speaker 2: and buy less from China. And the way that I

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Speaker 2: think he went about that was he sort of like

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Speaker 2: picked up a baseball bat and sort of mosied on

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Speaker 2: over to the global stock market and basically said to

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Speaker 2: the global elites, that's a really nice stock market you've got.

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Speaker 2: It would be a shame if anything happened to it.

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Speaker 2: And he had to prove that he was willing to

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Speaker 2: break somebody's leg in order for it to have teeth.

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Speaker 2: And now you see, like I think he did pivot.

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Speaker 2: I think initially he was sort of thinking he was

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Speaker 2: buying the well, actually, this is what I really think.

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Speaker 2: I'm curious if you agree with me. I think he

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Speaker 2: thought that the Navarro angle on the tariffs, the idea

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Speaker 2: that they would raise revenue, which is not historically sending

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Speaker 2: Trump has said about it because he doesn't believe the debt.

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Speaker 3: Ceiling is real and he doesn't really care about the deficit.

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Speaker 2: But I think, you know, he thought that the Navarro

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Speaker 2: angle here that these tariffs would generate revenue, would help

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Speaker 2: pass the reconciliation bill because it would help sort of

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Speaker 2: convince recalcitrant Republicans that there was going to be another

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Speaker 2: stream of revenue to make up for the fact that

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Speaker 2: they were going to have to raise the debt ceiling.

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Speaker 2: And I think when he figured out that actually was

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Speaker 2: hurting that exact thing, he went sort of he leaned

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Speaker 2: harder on bestant and the best in argument, which is like, look,

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Speaker 2: this is just unfair we you know, the national security argument,

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Speaker 2: the idea that we're being screwed, you know, all this

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Speaker 2: other stuff that Trump has been saying for a very

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Speaker 2: long time. So I think that the messines Is was

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Speaker 2: like part of what made this Actually it was both

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Speaker 2: a reflection of a very healthy conversation that's happening within

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Speaker 2: the administration that it isn't like in lockstep, but also

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Speaker 2: I think it ended up being pretty effective. You know,

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Speaker 2: would these one hundred and thirty countries be begging for

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Speaker 2: a deal if Trump hadn't literally like crashed the stock

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Speaker 2: market and joyously. I mean he did it with such

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Speaker 2: like he was so confident about it. The way that

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Speaker 2: he pulled that off, it was like, I don't know,

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Speaker 2: there was something about that. I just kept thinking, like,

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Speaker 2: you know, in two thousand and eight, as a senator,

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Speaker 2: President Obama, I guess then Senator Barack Obama rallied the

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Speaker 2: troops around the seven hundred billion dollar bailout of the

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Speaker 2: banks while ten million Americans went homeless. Those ten million

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Speaker 2: Americans had to watch as those same crooks who organized

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Speaker 2: the entire global crisis collected thirty billion dollars in taxpayer

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Speaker 2: funded bonuses Obama as president, and it walked in and said,

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Speaker 2: we're saving Wall Street and screw Main Street. You will

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Speaker 2: go homeless and you won't get a penny from us.

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Speaker 2: And what we just saw Trump do was the exact opposite.

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Speaker 2: He gave the middle finger to Wall Street and said

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Speaker 2: I don't work for you. And I think that that message,

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Speaker 2: I mean, it just I think it really resonated.

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Speaker 1: Yeah, I think that. I think there's a couple of things,

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Speaker 1: so yeah, partially I agree with you. I think that

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Speaker 1: Trump's madman approach to foreign policy, both military and trade,

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Speaker 1: is part of the reason people are not willing to

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Speaker 1: screw him away. They where with Joe Biden or Barack Obama,

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Speaker 1: who they thought were weak. I mean, like just they

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Speaker 1: just didn't respect them in the same way. Although they

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Speaker 1: have high favorable opinions because they listen to the right music,

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Speaker 1: they don't or they go to the right opera, or

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Speaker 1: they speak the right way, they don't actually think that

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Speaker 1: they're strong leaders, and they don't have faith that they

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Speaker 1: would actually step up. They think that Trump's a mad man,

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Speaker 1: and they're afraid, you know, no one steps on Superman's case,

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Speaker 1: especially when he's angry. So I think that's part of it.

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Speaker 1: But I think that if the goal was to reduce

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Speaker 1: trade barriers, to have a bit more equal trading playing

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Speaker 1: field with the EU, with Vietnam, with other countries, I

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Speaker 1: think that there if that's the end goal, then it'll

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Speaker 1: be a great end goal, right, That'll be a fantastic

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Speaker 1: end goal. Is if the end goal is reshowing manufacturing,

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Speaker 1: that's also a great end goal. If the end goal

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Speaker 1: is kind of to roll back the last thirty years,

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Speaker 1: it's a great end goal. I don't know how you

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Speaker 1: really get there though, but it but it kind of

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Speaker 1: was like they're all our end goal, well which one

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Speaker 1: is at first? And I don't really know how you

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Speaker 1: kind of and I think the chaos of the different

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Speaker 1: messaging made investors shaky. And the problem also is you

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Speaker 1: have a lot of tech stocks that were way over evaluated,

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Speaker 1: and you have and so they were like they were

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Speaker 1: they were shedding their stockholdings and using this Harris as

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Speaker 1: the excuse, but they were, I mean, they were way

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Speaker 1: over valuate it for quite some time. So you had

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Speaker 1: kind of a perfect storm that really made people lose

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Speaker 1: faith that Trump could turn around the economy. I think

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Speaker 1: that that has I think you listen, if there's any

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Speaker 1: time you want to do it in an administration, it's now,

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Speaker 1: not in the summer, not next year, not when the

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Speaker 1: midterms are coming up. So that hopefully the economy improves.

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Speaker 1: If in ninety days Trump walks up with you know,

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Speaker 1: Ursula van Lusha whatever her last name is, from the

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Speaker 1: EU and the president of Vietnam over that is, and

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Speaker 1: the Australian not Australian, but the UK Prime Minister Cure

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Speaker 1: Starmer or somebody else and says, no tariffs on any

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Speaker 1: of these people. We're having a United free trade thing.

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Speaker 1: They're going to buy American goods that will absolutely real

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Speaker 1: cause a bonanza on Wall Street. And then but they

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Speaker 1: have to sit there and make some kind of agreement

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Speaker 1: with China. And the EU is notoriously weak when it

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Speaker 1: comes to both Russia and China. Despite what their images,

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Speaker 1: they're terribly weak on it. I will say the one

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Speaker 1: thing I'm I don't want to say i'm hopeful for,

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Speaker 1: but i'm i'm I'm fascinated that these are coming out

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Speaker 1: of the admin is the willingness to increase the top

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Speaker 1: top bracket of income to thirty nine point six percent

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Speaker 1: from thirty seven percent, letting the old tax cuts expire

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Speaker 1: that two point six percent in exchange for no tax

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Speaker 1: on tips, no tax on social security. David Shure, the

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Speaker 1: Democratic data analyst, said, the best attack line for the

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Speaker 1: Trump against Republicans is tax cuts for the wealthy. The

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Speaker 1: worst attack line and the best attacking where the Republicans

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Speaker 1: have is no tax on tips, no tax on social Security.

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Speaker 1: And I think that becoming an economic centrist, which is

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Speaker 1: what the Republican Party is doing, that's attracting voters like you.

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Speaker 1: This is really I think. I think that's the way

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Speaker 1: forward for a midterm election strategy, is offering tax cuts

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Speaker 1: on social Security and no tax on tips, and that

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Speaker 1: would in exchange for a two point six percent increase

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Speaker 1: on the wealthy to make it more balanced. Do you agree?

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Speaker 3: I would love to to see that.

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Speaker 2: I do think what Trump is thinking is he has

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Speaker 2: to combine the tariffs and the tight labor market he

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Speaker 2: created by controlling the border with some sort of pro

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Speaker 2: business goodies on the other end, and I think deregulation

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Speaker 2: is to that end. Cheap energy drill, baby drill. But

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Speaker 2: I think the tax cuts were kind of part of

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Speaker 2: that as well in his mind. I mean that's how

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Speaker 2: I kind of justify it, Like he wants a roaring

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Speaker 2: economy that lifts all boats, and this sort of pro

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Speaker 2: worker stuff is huge, and so that's kind of, you know,

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Speaker 2: I see the rationale for it in that bucket. But

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Speaker 2: I like what you're saying, and I would obviously prefer

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Speaker 2: that on the foreign policy thing. I was once on

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Speaker 2: the subway in New York and something happened to me,

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Speaker 2: and I was like, this explains Trump's form policy so well.

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Speaker 2: So I was sitting there and there was a guy

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Speaker 2: sitting across from me who was like a little crazy,

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Speaker 2: you know, like the kind of thing you see almost

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Speaker 2: every time you get on the side, twitching and like,

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Speaker 2: you know, the exactly like a mild piece, you know,

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Speaker 2: like kind of yeah, exactly like twitch and talking to

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Speaker 2: himself and like, you know, making all sorts of facial expressions,

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Speaker 2: having you know, like a little you know, grand all time.

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Speaker 2: And then the doors opened and someone really crazy got on,

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Speaker 2: like one of these really crazy people where you're like,

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Speaker 2: oh God, please don't let this person look at me

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Speaker 2: like I that mildly crazy person.

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Speaker 3: Boy did he clean up his act quickly. He sat

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Speaker 3: there like this and sudden.

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Speaker 2: If I had gotten on after the really crazy person

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Speaker 2: got on, I never would have known there was anything

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Speaker 2: wrong with him. He sat up straight, he was looking down,

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Speaker 2: he stopped his twitching, he stopped talking to himself, he

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Speaker 2: stopped singing because he was like, Wow, there's an actually

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Speaker 2: really crazy person here. I better not draw his attention.

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Speaker 2: And I feel like this is like the exact perfect

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Speaker 2: metaphor to explain Trump's foreign policy. You always want to

434
00:21:46,240 --> 00:21:49,680
Speaker 2: be the most unpredictable person when you're dealing with people

435
00:21:49,680 --> 00:21:53,199
Speaker 2: who are unpredictable, because, like you said, like that is

436
00:21:53,240 --> 00:21:55,159
Speaker 2: how you get their respect. And I have to say

437
00:21:55,560 --> 00:21:59,080
Speaker 2: it has been one of the most validating experiences I

438
00:21:59,160 --> 00:22:02,240
Speaker 2: think of my life as an American to watch the

439
00:22:02,320 --> 00:22:06,399
Speaker 2: same people who mocked Trump and sneered at him and

440
00:22:06,440 --> 00:22:09,480
Speaker 2: made fun of him and laughed at him get on

441
00:22:09,560 --> 00:22:14,199
Speaker 2: their knees and crawl over into the throne room and

442
00:22:14,240 --> 00:22:17,719
Speaker 2: start begging him for like an ounce of approval. I

443
00:22:18,000 --> 00:22:20,359
Speaker 2: just can't get enough of it. And I don't know

444
00:22:20,400 --> 00:22:22,320
Speaker 2: if you feel the same way, but it's just like

445
00:22:22,680 --> 00:22:24,280
Speaker 2: I just you love.

446
00:22:24,320 --> 00:22:26,879
Speaker 3: To see it. It's like it's like an eighties like

447
00:22:27,320 --> 00:22:30,919
Speaker 3: feel good. You know, fuck Redemption arc. I love it.

448
00:22:32,280 --> 00:22:35,199
Speaker 1: I mean there are times big tech people make me nervous.

449
00:22:35,200 --> 00:22:37,480
Speaker 1: Who are all doing that? I can I just wait

450
00:22:37,560 --> 00:22:39,840
Speaker 1: Parsa for one second. I want to say my favorite

451
00:22:39,960 --> 00:22:42,600
Speaker 1: mildly crazy subway story person. One time I was on

452
00:22:42,600 --> 00:22:44,719
Speaker 1: the subway and a lady. I was having a very

453
00:22:44,840 --> 00:22:47,119
Speaker 1: rough day. I remember it very distinctly, and a lady

454
00:22:47,920 --> 00:22:49,680
Speaker 1: looked at me and said, you look nice today, and

455
00:22:49,720 --> 00:22:52,040
Speaker 1: I felt so like I was like, wow, this is

456
00:22:52,080 --> 00:22:54,400
Speaker 1: like the greatest thing ever. And then I said, oh,

457
00:22:54,440 --> 00:22:56,000
Speaker 1: thank you, and then she goes, no, not you, the

458
00:22:56,040 --> 00:22:58,960
Speaker 1: person behind you. And there was and there was no

459
00:22:59,000 --> 00:23:02,040
Speaker 1: one behind me. There wasn't a soul behind me. And

460
00:23:02,080 --> 00:23:04,119
Speaker 1: then she started talking to her invisible friend. And I

461
00:23:04,200 --> 00:23:06,600
Speaker 1: was like, I'm still taking that compliment, like I'm going

462
00:23:06,680 --> 00:23:09,440
Speaker 1: to live on that for quite a number of years

463
00:23:10,800 --> 00:23:14,320
Speaker 1: doing Oh that is totally what happened. When I was like,

464
00:23:14,680 --> 00:23:17,359
Speaker 1: it was like twenty two or twenty one. I'm still

465
00:23:17,359 --> 00:23:23,840
Speaker 1: living on that compliment fifteen years later. The yeah, I'm

466
00:23:23,920 --> 00:23:28,040
Speaker 1: a little hesitant with some people like bergs of the

467
00:23:28,080 --> 00:23:32,280
Speaker 1: world coming into like the picture of me and saying

468
00:23:32,320 --> 00:23:34,080
Speaker 1: oh no, we love you. Now, by the way, please

469
00:23:34,160 --> 00:23:36,399
Speaker 1: reduce the amount the FTC's trying to sit there and

470
00:23:36,400 --> 00:23:38,480
Speaker 1: find us, from like thirty billion to seven hundred million.

471
00:23:38,760 --> 00:23:42,600
Speaker 1: That makes me nervous. And there are times I hope

472
00:23:42,640 --> 00:23:45,320
Speaker 1: Trump six to his guns. He has an immigration he

473
00:23:45,520 --> 00:23:48,960
Speaker 1: has on he has on the tariff stuff he has.

474
00:23:49,080 --> 00:23:50,960
Speaker 1: I mean, we'll see what the judges look like. I imagined

475
00:23:50,880 --> 00:23:53,760
Speaker 1: they'll be pretty good. I really hope if Trump, I

476
00:23:53,760 --> 00:23:57,240
Speaker 1: said this before I Trump gets the birthright citizenship removed

477
00:23:57,280 --> 00:23:59,840
Speaker 1: for non citizens, it will be I don't care if

478
00:23:59,840 --> 00:24:02,800
Speaker 1: he's it's at home meeting Big Max. For the rest

479
00:24:02,800 --> 00:24:04,840
Speaker 1: of the entire presidency. I like, this is the greatest

480
00:24:04,840 --> 00:24:10,120
Speaker 1: president who ever lived, So okay, on what matters to me,

481
00:24:10,640 --> 00:24:13,159
Speaker 1: he has delivered. And I think that's what the media

482
00:24:13,240 --> 00:24:16,960
Speaker 1: cannot understand, Like why aren't you outraged all the time

483
00:24:17,000 --> 00:24:22,159
Speaker 1: about everything? Because what matters to most people is just

484
00:24:22,240 --> 00:24:24,840
Speaker 1: a big picture, and he on that point. I mean, yeah,

485
00:24:24,840 --> 00:24:27,520
Speaker 1: the stock market is a little shaky, but he's delivered

486
00:24:27,560 --> 00:24:29,879
Speaker 1: more than he hasn't, And we haven't had a leader

487
00:24:30,040 --> 00:24:32,480
Speaker 1: for four years who delivered at all, and in fact

488
00:24:32,560 --> 00:24:34,879
Speaker 1: felt like we were attacking us as garbage. In the

489
00:24:34,880 --> 00:24:39,199
Speaker 1: case of Joe Biden or you know, being openly hostile

490
00:24:39,240 --> 00:24:42,280
Speaker 1: to anything we've had. And the Democratic Party, whose whole

491
00:24:42,320 --> 00:24:48,840
Speaker 1: political strategy is is decreasing people to the lowest possible value.

492
00:24:48,880 --> 00:24:51,920
Speaker 1: Women are only their you know, their sex organs or

493
00:24:51,960 --> 00:24:56,400
Speaker 1: the possibly having children. You know, LGB people are only

494
00:24:56,480 --> 00:25:01,480
Speaker 1: trans fear mongering over over Sam six mac or or

495
00:25:01,760 --> 00:25:03,520
Speaker 1: you know, black people are just the color of their

496
00:25:03,560 --> 00:25:05,480
Speaker 1: skin or his thing. But we're just whether or not

497
00:25:05,520 --> 00:25:07,680
Speaker 1: they know someone who's legally or illegal in the country.

498
00:25:07,880 --> 00:25:12,840
Speaker 1: It's always the lowest comminent denominator politics. And I will say,

499
00:25:12,880 --> 00:25:16,200
Speaker 1: like Bernie Sanders doesn't always do that, a fetterman doesn't

500
00:25:16,200 --> 00:25:18,199
Speaker 1: always do that. They don't all always do that, but

501
00:25:18,280 --> 00:25:20,600
Speaker 1: that has been the common ring from the Democratic Party,

502
00:25:20,600 --> 00:25:24,080
Speaker 1: which so why I think people really don't have a

503
00:25:24,119 --> 00:25:26,200
Speaker 1: fun opinion of them. And what we're getting through back

504
00:25:26,240 --> 00:25:29,080
Speaker 1: to before is, you know, we're talking about people who

505
00:25:29,119 --> 00:25:33,120
Speaker 1: grew up during the Bush era, people who people who

506
00:25:33,160 --> 00:25:36,360
Speaker 1: now like are millennials sliding into middle age like myself

507
00:25:36,600 --> 00:25:44,440
Speaker 1: and and we we are people perceive that those life

508
00:25:44,520 --> 00:25:47,879
Speaker 1: experiences are what has trickled down to younger people. But

509
00:25:47,920 --> 00:25:50,520
Speaker 1: for younger people, for people eighteen to twenty one and

510
00:25:51,000 --> 00:25:54,400
Speaker 1: under thirty their life or twenty five. Really their life

511
00:25:54,400 --> 00:25:57,320
Speaker 1: experience was the COVID lockdowns. Their life experience was no

512
00:25:57,440 --> 00:26:01,840
Speaker 1: prom no graduation, no sports events, know nothing, depression or

513
00:26:01,840 --> 00:26:06,000
Speaker 1: all the rest of it because of Democratic policies that

514
00:26:06,040 --> 00:26:09,240
Speaker 1: they can't get back, and that anger, I think will

515
00:26:09,720 --> 00:26:14,960
Speaker 1: possibly fuel them, you know, the same way that Bush's

516
00:26:15,320 --> 00:26:20,040
Speaker 1: you know, wars fuel millennials for last twenty years.

517
00:26:21,000 --> 00:26:24,679
Speaker 2: I think that's a really interesting point. I wanted to

518
00:26:24,680 --> 00:26:27,720
Speaker 2: ask your opinion about something that I have been noticing

519
00:26:27,920 --> 00:26:30,000
Speaker 2: and I'm very curious if you agree with me on

520
00:26:31,160 --> 00:26:36,960
Speaker 2: which is in the question of like succession. I feel

521
00:26:36,960 --> 00:26:39,600
Speaker 2: like everybody thinks it's going to be JD Vance, But

522
00:26:39,720 --> 00:26:42,760
Speaker 2: I I think like as someone coming, you know, from

523
00:26:42,800 --> 00:26:46,560
Speaker 2: the MAGA left, like somebody who had like has I

524
00:26:46,560 --> 00:26:49,920
Speaker 2: think a very clear sense of who the people are

525
00:26:49,960 --> 00:26:54,000
Speaker 2: who gave Trump the victory, who like joined the movement,

526
00:26:54,200 --> 00:26:57,560
Speaker 2: as well as just the kind of like normy Republican

527
00:26:57,880 --> 00:27:04,359
Speaker 2: voter today. I think that the Republicans are in danger

528
00:27:04,359 --> 00:27:09,639
Speaker 2: of misunderstanding what Trump got right, and I think JD

529
00:27:09,800 --> 00:27:11,080
Speaker 2: kind of represents that.

530
00:27:12,080 --> 00:27:15,879
Speaker 1: Really. Yeah, well, who would you say would be like

531
00:27:15,920 --> 00:27:17,840
Speaker 1: the success Well, first, why do you think that he

532
00:27:17,880 --> 00:27:19,879
Speaker 1: misunderstands that, and who would you think the success?

533
00:27:20,040 --> 00:27:27,119
Speaker 2: Okay, so I think that Trump very successfully neutralized the

534
00:27:27,160 --> 00:27:32,040
Speaker 2: abortion issue, not by not talking about it, but by

535
00:27:32,080 --> 00:27:36,040
Speaker 2: talking about it in a very specific way. So it

536
00:27:36,080 --> 00:27:38,520
Speaker 2: was my experience when I was reporting my book Second Class.

537
00:27:38,560 --> 00:27:41,600
Speaker 2: I was just traveling around the country interviewing working class

538
00:27:41,600 --> 00:27:44,520
Speaker 2: people from both parties, and what I heard from, like

539
00:27:44,680 --> 00:27:46,880
Speaker 2: the vast majority of the women that I interviewed, whether

540
00:27:46,880 --> 00:27:50,359
Speaker 2: they were Republicans or Democrats, was basically some version of

541
00:27:51,040 --> 00:27:54,320
Speaker 2: I would never get an abortion because I think it's wrong,

542
00:27:55,280 --> 00:27:57,960
Speaker 2: but I would never judge another woman who was put

543
00:27:58,000 --> 00:28:00,960
Speaker 2: in the horrible position of having to choose them. And

544
00:28:01,000 --> 00:28:04,520
Speaker 2: I think we've seen the ballot measures to ban abortion

545
00:28:04,760 --> 00:28:08,440
Speaker 2: fail even in red states, and I think that position

546
00:28:08,880 --> 00:28:12,400
Speaker 2: it's a kind of like pro life but anti ban,

547
00:28:13,280 --> 00:28:17,440
Speaker 2: like an extreme tolerance while also like having a very

548
00:28:17,520 --> 00:28:20,200
Speaker 2: moral You know, people like that would show up as

549
00:28:20,280 --> 00:28:24,399
Speaker 2: pro life in polls, but I think that they feel

550
00:28:24,560 --> 00:28:27,920
Speaker 2: very strongly the anti ban piece of that. And Trump

551
00:28:28,000 --> 00:28:31,000
Speaker 2: made it very clear that he sort of agreed with them.

552
00:28:31,000 --> 00:28:33,960
Speaker 2: I mean, he kept saying he supports the exceptions he

553
00:28:34,119 --> 00:28:37,000
Speaker 2: has said before that he supports abortion for twelve weeks,

554
00:28:37,040 --> 00:28:39,160
Speaker 2: he says we should be more like Europe. He says

555
00:28:39,240 --> 00:28:41,840
Speaker 2: that that he would he said again and again that

556
00:28:41,840 --> 00:28:45,680
Speaker 2: he would veto a national abortion ban, and he really

557
00:28:45,680 --> 00:28:50,680
Speaker 2: made no compunction about quite significantly sidelining and marginalizing and

558
00:28:50,720 --> 00:28:53,760
Speaker 2: even making fun of Project twenty twenty five, which was

559
00:28:53,800 --> 00:28:56,280
Speaker 2: what the Democrats tried to saddle him with as this

560
00:28:56,360 --> 00:28:58,240
Speaker 2: kind of extremist, you know.

561
00:28:59,000 --> 00:28:59,960
Speaker 1: Like JD does that.

562
00:29:00,800 --> 00:29:03,680
Speaker 2: JD supports a national abortion ban. He said that, and

563
00:29:03,960 --> 00:29:06,920
Speaker 2: I think he's quite vulnerable on that because he's a

564
00:29:06,920 --> 00:29:10,040
Speaker 2: Catholic and he really believes that. He said repeatedly that

565
00:29:10,040 --> 00:29:11,800
Speaker 2: he would support a national abortion man that he thinks

566
00:29:11,800 --> 00:29:12,640
Speaker 2: it should be illegal.

567
00:29:12,720 --> 00:29:14,760
Speaker 1: On the twenty twenty two cent campaign you're talking about,

568
00:29:16,240 --> 00:29:17,200
Speaker 1: he said it.

569
00:29:17,160 --> 00:29:18,440
Speaker 3: On multiple interviews.

570
00:29:18,920 --> 00:29:20,520
Speaker 1: I'm not trying to the time frame because that's when

571
00:29:20,560 --> 00:29:22,720
Speaker 1: I worked on his campaign by ward on the pack side,

572
00:29:22,760 --> 00:29:26,680
Speaker 1: so I wasn't. I don't know that, I think, and.

573
00:29:27,600 --> 00:29:30,000
Speaker 2: So on the on the social issues, I think he's

574
00:29:30,240 --> 00:29:33,760
Speaker 2: very vulnerable. On the foreign policy, I think that he

575
00:29:33,840 --> 00:29:37,320
Speaker 2: represents people think Trump's an isolationist, but he really isn't.

576
00:29:38,000 --> 00:29:39,400
Speaker 3: He has this piece through.

577
00:29:39,200 --> 00:29:42,440
Speaker 2: Strength idea he's a lot like Tulci Gabbard, like she

578
00:29:42,640 --> 00:29:45,920
Speaker 2: hates terrorists. There's nothing she won't do to a terrorist,

579
00:29:46,200 --> 00:29:49,000
Speaker 2: but she thinks that if you haven't threatened America in

580
00:29:49,040 --> 00:29:51,640
Speaker 2: a significant way, you're not our business and you're not

581
00:29:51,680 --> 00:29:54,440
Speaker 2: our problem. JD is an isolationist. So then on the

582
00:29:54,480 --> 00:29:57,360
Speaker 2: foreign policy he's quite different from Trump. On the trade thing,

583
00:29:57,400 --> 00:29:59,239
Speaker 2: he's very good. I think he's solidly there. But if

584
00:29:59,240 --> 00:30:00,880
Speaker 2: I would have to say, who is a person in

585
00:30:00,920 --> 00:30:04,120
Speaker 2: Trump's cabinet who is much more aligned with him on

586
00:30:04,200 --> 00:30:06,800
Speaker 2: all three of those issues foreign policy, aconomic policy, and

587
00:30:06,840 --> 00:30:10,200
Speaker 2: social policy, I would say it's Marco Rubio. And I

588
00:30:10,280 --> 00:30:13,040
Speaker 2: don't know why people aren't. Am I totally wrong? I

589
00:30:13,080 --> 00:30:16,320
Speaker 2: could be totally off about this, but I will say.

590
00:30:16,160 --> 00:30:18,080
Speaker 1: Okay, so one odd thing, So I'll tell you a

591
00:30:18,080 --> 00:30:21,320
Speaker 1: story that I've never told anyone. So I was a

592
00:30:21,720 --> 00:30:24,640
Speaker 1: European trip planned post election. I was like, I was

593
00:30:24,680 --> 00:30:26,600
Speaker 1: so burned from the election, like I'm going away. I

594
00:30:26,600 --> 00:30:29,000
Speaker 1: booked this like seven months in advance, like I don't

595
00:30:29,040 --> 00:30:31,600
Speaker 1: care who wins at this point, I am going away.

596
00:30:32,040 --> 00:30:34,400
Speaker 1: And as I'm getting on the plane, like literally about

597
00:30:34,440 --> 00:30:37,600
Speaker 1: to board the plane to go to the destination. I

598
00:30:37,680 --> 00:30:40,640
Speaker 1: was going to Spain. Going to Spain. I get a

599
00:30:40,680 --> 00:30:44,880
Speaker 1: text from my friend Megan McCain and Megan's like, hey,

600
00:30:45,280 --> 00:30:48,000
Speaker 1: would you talk to Tulsi for a second about her

601
00:30:48,160 --> 00:30:50,600
Speaker 1: meeting with Trump and some ideas and just bouncing off

602
00:30:50,680 --> 00:30:56,680
Speaker 1: ideas and I'm literally like walking on the line. I'm like, Tulsie, listen,

603
00:30:56,800 --> 00:30:59,320
Speaker 1: you can't ask for multiple different things. You have to

604
00:30:59,320 --> 00:31:01,200
Speaker 1: say you to the present, and I won't want and

605
00:31:01,280 --> 00:31:04,000
Speaker 1: I can't help but be one. Use my hands when

606
00:31:04,040 --> 00:31:07,000
Speaker 1: talking because I'm Italian and to be way too loud.

607
00:31:07,040 --> 00:31:10,080
Speaker 1: And I'm sure that people like checking my ticket where

608
00:31:10,240 --> 00:31:13,520
Speaker 1: like this crazy person thinks he's talking to Tulci Gabbard.

609
00:31:15,520 --> 00:31:21,160
Speaker 1: But true story. But Telsea and JD are very similar

610
00:31:21,160 --> 00:31:23,800
Speaker 1: in their foreign policy, very very similar in their foreign

611
00:31:23,880 --> 00:31:27,120
Speaker 1: policy and their allies within the ADMIN from what I

612
00:31:27,200 --> 00:31:30,160
Speaker 1: understand in that, so I don't think that they're that

613
00:31:30,440 --> 00:31:35,560
Speaker 1: far of a stretch. I like Marco Rubio a lot.

614
00:31:35,680 --> 00:31:39,160
Speaker 1: I know Marco Rubio's chief. I've spoken to Marco Rubio,

615
00:31:39,200 --> 00:31:41,400
Speaker 1: I think at least one time, maybe twice, but definitely

616
00:31:41,480 --> 00:31:45,280
Speaker 1: one time. And I see that Marco Rubio is a

617
00:31:45,280 --> 00:31:47,840
Speaker 1: man who has evolved and changed a lot over time,

618
00:31:47,920 --> 00:31:50,080
Speaker 1: and the man who he was in his early forties,

619
00:31:50,120 --> 00:31:53,600
Speaker 1: when he was the wonder kin freshman senator that should

620
00:31:53,600 --> 00:31:58,360
Speaker 1: be president immediately, super neo conservative, is slightly different. I

621
00:31:58,400 --> 00:32:00,400
Speaker 1: read his last book on I don't know if you

622
00:32:00,440 --> 00:32:02,400
Speaker 1: read it, but it was on trade and foreign policy

623
00:32:02,440 --> 00:32:04,160
Speaker 1: in the working class, and he got a lot right.

624
00:32:04,600 --> 00:32:06,160
Speaker 1: But when he was talking about foreign policy, the one

625
00:32:06,200 --> 00:32:10,520
Speaker 1: thing was very jarring to me was all about hawkish stores. China,

626
00:32:10,680 --> 00:32:13,600
Speaker 1: and the entire Middle East was missing. It's as if

627
00:32:13,880 --> 00:32:17,440
Speaker 1: Middle Eastern conflict never happened when it was the most

628
00:32:17,640 --> 00:32:21,880
Speaker 1: probably the most defining thing of my late teens early twenties.

629
00:32:22,400 --> 00:32:27,080
Speaker 1: I don't know. I don't know how if he just

630
00:32:27,680 --> 00:32:32,280
Speaker 1: wants that issue to not be the main focus or whatever,

631
00:32:32,440 --> 00:32:34,880
Speaker 1: or if he's fairly changed on it, but it was

632
00:32:35,000 --> 00:32:38,200
Speaker 1: very obvious that it was completely missing, ruining foreign policy conversations.

633
00:32:38,200 --> 00:32:42,280
Speaker 1: And he's great on China, great on immigration.

634
00:32:42,000 --> 00:32:44,760
Speaker 2: He's taken on a real you know, he's he's been

635
00:32:44,840 --> 00:32:47,360
Speaker 2: the one kind of defending all these deportations in.

636
00:32:47,360 --> 00:32:49,880
Speaker 1: A very antiportations. What I would like to know from

637
00:32:49,920 --> 00:32:53,560
Speaker 1: Marco Rubio, and I would, and I like Marco Rupers,

638
00:32:53,600 --> 00:32:55,400
Speaker 1: is not Christ overall, But I just wanted I would

639
00:32:55,400 --> 00:32:57,840
Speaker 1: love to ask him how many immigrants do you think

640
00:32:57,840 --> 00:33:00,880
Speaker 1: should come to the United States every year? I think

641
00:33:00,880 --> 00:33:04,560
Speaker 1: that every politician should be have to answer that question

642
00:33:05,320 --> 00:33:08,160
Speaker 1: if they're going to run for federal office, is how many?

643
00:33:08,200 --> 00:33:10,880
Speaker 1: Give me a physical number, because right now we have

644
00:33:10,960 --> 00:33:12,960
Speaker 1: a number. Don't say, well, let the marketing side, No,

645
00:33:13,280 --> 00:33:15,520
Speaker 1: you have to decide by a number. That's the number

646
00:33:15,520 --> 00:33:18,440
Speaker 1: that comes in. Pick a number. Just pick the number.

647
00:33:19,960 --> 00:33:24,000
Speaker 1: And to me, legal immigration in twenty twenty five should

648
00:33:24,040 --> 00:33:26,680
Speaker 1: be safe, legal, and rare. That is my opinion. It

649
00:33:26,760 --> 00:33:29,120
Speaker 1: is the same abortion opinion that the Democrats are in

650
00:33:29,160 --> 00:33:31,440
Speaker 1: the nineties. So you can use the line if you

651
00:33:31,480 --> 00:33:35,080
Speaker 1: want a next interview, you have. But I believe that,

652
00:33:35,200 --> 00:33:36,920
Speaker 1: and I don't know if he believes that. I will say,

653
00:33:36,920 --> 00:33:40,560
Speaker 1: as far as succession goes, there's only ever been one

654
00:33:40,680 --> 00:33:44,280
Speaker 1: vice president in both the Democrat and Republican party who

655
00:33:44,360 --> 00:33:47,960
Speaker 1: pursued the nomination for presidency and did not receive the nomination,

656
00:33:48,080 --> 00:33:50,600
Speaker 1: and that was Mike Pence in twenty twenty four. Was

657
00:33:50,640 --> 00:33:55,760
Speaker 1: the first time that's ever happened, and that was because

658
00:33:55,760 --> 00:33:58,480
Speaker 1: of Donald Trump. And had Donald not run, Pence would

659
00:33:58,480 --> 00:34:01,280
Speaker 1: have done significantly better. Had twenty twenty note happened, he

660
00:34:01,280 --> 00:34:05,880
Speaker 1: would have definitely probably don't see better, but that is

661
00:34:07,400 --> 00:34:10,880
Speaker 1: that's the case where I don't see there would be,

662
00:34:11,600 --> 00:34:16,759
Speaker 1: you know, unless a calamity happened. The odds if JD

663
00:34:17,000 --> 00:34:19,359
Speaker 1: wants to run the job, it's odds of him not

664
00:34:19,440 --> 00:34:22,640
Speaker 1: being the nominee are fairly small. Now he will sink

665
00:34:22,760 --> 00:34:25,400
Speaker 1: or swim on his own accord, by his own ticket,

666
00:34:25,400 --> 00:34:27,160
Speaker 1: by his own nomination. And I'm sure he'll do some

667
00:34:27,200 --> 00:34:30,640
Speaker 1: things like Trump and some things not like Trump, or

668
00:34:30,760 --> 00:34:32,840
Speaker 1: you know, indifference to him, but a little different, and

669
00:34:32,880 --> 00:34:35,160
Speaker 1: he'll have his own evolution and other issues will come

670
00:34:35,280 --> 00:34:38,719
Speaker 1: up over time that will matter. I think that I

671
00:34:38,760 --> 00:34:42,560
Speaker 1: think that Trump's coalition is very unique, and I think

672
00:34:42,600 --> 00:34:45,360
Speaker 1: that the groups that he really should be doubling down on,

673
00:34:45,440 --> 00:34:47,920
Speaker 1: Aside from young people that have run to the party

674
00:34:47,960 --> 00:34:52,360
Speaker 1: and some Latinos, especially multi generational Latinos and white working

675
00:34:52,360 --> 00:34:55,040
Speaker 1: classes he brought in, I really think it is the

676
00:34:55,120 --> 00:35:00,160
Speaker 1: people who are the crunchy liberals Like I've got an

677
00:35:00,200 --> 00:35:04,440
Speaker 1: aunt who was you know, registered Democrat, voted for both parties,

678
00:35:04,480 --> 00:35:07,800
Speaker 1: but more Democrat than Republican, but she voted for Trump

679
00:35:07,840 --> 00:35:10,640
Speaker 1: primarily because she was supported RFK. And I know I

680
00:35:10,880 --> 00:35:12,480
Speaker 1: have a friend who is not voted for a Republican

681
00:35:12,520 --> 00:35:18,239
Speaker 1: since John McCain, and she voted for She voted. She

682
00:35:18,239 --> 00:35:20,200
Speaker 1: she hates Trump, but I think she did vote for

683
00:35:20,239 --> 00:35:23,480
Speaker 1: him because of RFK, because she's so concerned over food

684
00:35:23,520 --> 00:35:26,040
Speaker 1: and she's got two young boys. I think that that

685
00:35:26,239 --> 00:35:28,320
Speaker 1: is a demographic. I mean, the media can not g

686
00:35:28,360 --> 00:35:31,160
Speaker 1: it and make fun of it, but I know so

687
00:35:31,320 --> 00:35:33,719
Speaker 1: many if you go on Instagram, I mean there are

688
00:35:33,800 --> 00:35:37,239
Speaker 1: the member of people giving light health food advice out

689
00:35:37,239 --> 00:35:40,080
Speaker 1: and health advice out is I mean there's an entire

690
00:35:40,719 --> 00:35:44,000
Speaker 1: underground economy of people doing this because people are there

691
00:35:44,040 --> 00:35:47,319
Speaker 1: and people look at Europe and they say, okay, they

692
00:35:47,360 --> 00:35:51,120
Speaker 1: all smoke, but they're all living longer than us. So

693
00:35:51,320 --> 00:35:53,640
Speaker 1: is it that you can smoke cigarettes and not eat

694
00:35:53,719 --> 00:35:55,560
Speaker 1: junk food and then there's Donald Trump but you could

695
00:35:55,560 --> 00:35:57,960
Speaker 1: eat jump food but not smoke cigarettes. What is going

696
00:35:58,000 --> 00:36:01,120
Speaker 1: on where there is this lifestyle balance? And how do

697
00:36:01,160 --> 00:36:03,960
Speaker 1: we fix it? And why do why when I go

698
00:36:04,040 --> 00:36:06,760
Speaker 1: to Europe does the food just or not just Europe

699
00:36:06,760 --> 00:36:08,839
Speaker 1: but Canada is real bunch of places, But why does

700
00:36:08,880 --> 00:36:11,920
Speaker 1: the food genuinely taste better? Why is it more filling.

701
00:36:12,239 --> 00:36:15,080
Speaker 1: Why do I not have like hunger crunches? What is

702
00:36:15,120 --> 00:36:16,880
Speaker 1: going on? When I after my trip to Europe and

703
00:36:16,960 --> 00:36:19,520
Speaker 1: I came back, I was like, I'm hungry all the

704
00:36:19,640 --> 00:36:22,359
Speaker 1: time and I'm definitely eating more than I ate there

705
00:36:22,480 --> 00:36:24,879
Speaker 1: Why is this happening? So there's there's that big question.

706
00:36:24,920 --> 00:36:27,319
Speaker 1: I think that that is the group. But as far

707
00:36:27,360 --> 00:36:31,040
Speaker 1: as like the social conservatives and foreign policy, I think

708
00:36:31,120 --> 00:36:34,160
Speaker 1: JD is more in line with Trump than than other

709
00:36:34,160 --> 00:36:37,880
Speaker 1: people than people think, you know, although he's obviously a

710
00:36:38,040 --> 00:36:42,120
Speaker 1: fairly devout Catholic who converted to the religion, you know.

711
00:36:42,800 --> 00:36:44,920
Speaker 1: So I mean, I don't know. That's why I think.

712
00:36:44,920 --> 00:36:47,359
Speaker 1: I don't think that there's there was probably anyone who

713
00:36:47,400 --> 00:36:49,799
Speaker 1: would take that mandle if JD wanted to pick it up.

714
00:36:51,360 --> 00:36:52,600
Speaker 3: See what you laid out about R. K.

715
00:36:52,719 --> 00:36:55,480
Speaker 2: Junior is exactly what bothers me about him, because I

716
00:36:55,600 --> 00:36:59,279
Speaker 2: feel like he takes advantage of poor people. Like if

717
00:36:59,280 --> 00:37:02,839
Speaker 2: you took people out of the equation, Americans are much

718
00:37:02,920 --> 00:37:07,000
Speaker 2: healthier than every other country. It's a very specific population

719
00:37:07,520 --> 00:37:09,759
Speaker 2: that has all the diabetes and all of the heart

720
00:37:09,840 --> 00:37:13,239
Speaker 2: problems and all of the obesity, and it's because they're

721
00:37:13,239 --> 00:37:15,799
Speaker 2: poor and so they don't have time to cook and

722
00:37:15,840 --> 00:37:17,640
Speaker 2: work out the way that rich people do in order

723
00:37:17,680 --> 00:37:20,279
Speaker 2: to stay healthy. And I think that RFK Junior gives

724
00:37:20,320 --> 00:37:22,920
Speaker 2: hope to people like you. Imagine being like a working

725
00:37:22,920 --> 00:37:25,759
Speaker 2: class mom working two jobs and having a severely autistic

726
00:37:25,840 --> 00:37:29,120
Speaker 2: child and other children that you're trying to take care of,

727
00:37:29,200 --> 00:37:32,399
Speaker 2: like while having absolutely no money and absolutely no time

728
00:37:32,440 --> 00:37:36,040
Speaker 2: and no support system, and like it's unbearable to consider.

729
00:37:36,360 --> 00:37:38,399
Speaker 2: And instead of being like, Okay, what are we doing

730
00:37:38,440 --> 00:37:41,000
Speaker 2: as a society, Like that's such that you know, this

731
00:37:41,120 --> 00:37:44,279
Speaker 2: person who could have very easily supported a family if

732
00:37:44,320 --> 00:37:47,160
Speaker 2: she was working as a manicurist in the seventies, you know,

733
00:37:47,360 --> 00:37:51,080
Speaker 2: now is like struggling so much. He came out and said, oh, well,

734
00:37:51,120 --> 00:37:53,640
Speaker 2: it's big pharma. It's like the color of the dye

735
00:37:53,840 --> 00:37:56,000
Speaker 2: in the food, you know what I mean. It's like

736
00:37:56,520 --> 00:37:58,480
Speaker 2: you look at poor people in America who are like

737
00:37:58,640 --> 00:38:02,440
Speaker 2: really really sick, and it's all like it's all kind

738
00:38:02,480 --> 00:38:05,840
Speaker 2: of in certain populations if you take them out, like

739
00:38:05,920 --> 00:38:06,720
Speaker 2: we're very healthy.

740
00:38:06,800 --> 00:38:09,960
Speaker 1: Yeah, I like a lot of obese is very confined

741
00:38:10,000 --> 00:38:12,560
Speaker 1: to black people, anti hispacs into poor whites. That's one

742
00:38:12,600 --> 00:38:15,359
Speaker 1: hundred percent true. But at the same time he's rich.

743
00:38:15,600 --> 00:38:17,200
Speaker 2: He doesn't know anybody like that.

744
00:38:17,239 --> 00:38:20,160
Speaker 1: He always knows that rich, honestly. I mean, but I

745
00:38:20,160 --> 00:38:22,360
Speaker 1: think the bigger part is though. But I want to

746
00:38:22,360 --> 00:38:26,640
Speaker 1: say two things kind of One. For thinnest state today,

747
00:38:26,680 --> 00:38:29,440
Speaker 1: which is Colorado, is fatter than our fattest state in

748
00:38:29,520 --> 00:38:32,480
Speaker 1: nineteen ninety. And that's not all big farmer. That's not

749
00:38:32,520 --> 00:38:34,400
Speaker 1: all food, that's not all everything. That's a lot of

750
00:38:34,480 --> 00:38:37,480
Speaker 1: choices a lot of people made over time. That is true.

751
00:38:37,960 --> 00:38:40,880
Speaker 1: And I don't know why we have like red dye

752
00:38:41,080 --> 00:38:44,560
Speaker 1: number two was banned from makeup in the nineteen nineties

753
00:38:44,800 --> 00:38:45,400
Speaker 1: early nineteen.

754
00:38:45,640 --> 00:38:48,480
Speaker 2: I support everything that he's doing under the auspices of

755
00:38:48,520 --> 00:38:51,359
Speaker 2: like the Trump restraints. Like, yeah, that's great. I mean,

756
00:38:51,400 --> 00:38:53,240
Speaker 2: I support that. I don't want red dye in my food.

757
00:38:53,280 --> 00:38:56,080
Speaker 2: I don't understand, like I support all the healthy stuff.

758
00:38:56,080 --> 00:38:58,920
Speaker 2: It's just like if you would fix the economy, people

759
00:38:58,960 --> 00:39:00,000
Speaker 2: would be much healthier.

760
00:39:00,000 --> 00:39:02,920
Speaker 1: We're saying, don't give poor people the dreams of the're

761
00:39:02,920 --> 00:39:05,319
Speaker 1: all going to be super healthy tomorrow by you know,

762
00:39:05,719 --> 00:39:07,640
Speaker 1: making a few you know, I agree with that one

763
00:39:07,719 --> 00:39:08,120
Speaker 1: hundred and.

764
00:39:08,640 --> 00:39:11,880
Speaker 2: Hysteriracy stuff around vaccines I think is horrible, Like and

765
00:39:11,920 --> 00:39:14,080
Speaker 2: the fact that he made two million dollars off of

766
00:39:14,080 --> 00:39:16,719
Speaker 2: getting people to sign up for stuff that said vaccines

767
00:39:16,760 --> 00:39:20,160
Speaker 2: cause autism, and like, I feel like I agree with you.

768
00:39:20,960 --> 00:39:23,880
Speaker 1: I person to agree with you on that. A lot of

769
00:39:23,920 --> 00:39:25,880
Speaker 1: it is personal choices that people are making. No I

770
00:39:25,920 --> 00:39:28,959
Speaker 1: do I perpletely agree with you. I read a book

771
00:39:28,960 --> 00:39:30,680
Speaker 1: about him, and there were I heard two books of

772
00:39:30,719 --> 00:39:33,880
Speaker 1: I'm actually and there was like some choices that he

773
00:39:33,960 --> 00:39:36,239
Speaker 1: made in his life were very questionable that I did not.

774
00:39:36,520 --> 00:39:38,280
Speaker 1: I was like, oh, the same, I should be president.

775
00:39:39,200 --> 00:39:43,280
Speaker 1: I his divorce, his first divorce is really really ugly.

776
00:39:44,920 --> 00:39:49,319
Speaker 1: I and ugly on his part. But I think that

777
00:39:50,040 --> 00:39:52,920
Speaker 1: it's just there is a health problem in our country

778
00:39:52,920 --> 00:39:55,719
Speaker 1: where people are just chronically ill. And yeah, a lot

779
00:39:55,719 --> 00:39:59,440
Speaker 1: of it is because you're eating garbage and it's convenient

780
00:39:59,520 --> 00:39:59,839
Speaker 1: for you.

781
00:39:59,840 --> 00:40:03,879
Speaker 2: And we don't have preventative medicine. I think that's another thing,

782
00:40:03,960 --> 00:40:07,600
Speaker 2: is like doctors don't get paid for preventative services they

783
00:40:07,640 --> 00:40:10,040
Speaker 2: do in Europe, and so people go to see the

784
00:40:10,080 --> 00:40:13,360
Speaker 2: doctor twice a year and they have a relationship and

785
00:40:13,400 --> 00:40:16,719
Speaker 2: things are caught earlier, and like that would that would

786
00:40:16,760 --> 00:40:19,680
Speaker 2: make a huge difference. Just force medicare to pay for

787
00:40:19,760 --> 00:40:23,239
Speaker 2: preventative visits like that would make a huge difference. But

788
00:40:23,239 --> 00:40:25,359
Speaker 2: that's not the kind of thing that like anybody sort

789
00:40:25,400 --> 00:40:27,759
Speaker 2: of talking about it. I think healthcare is like it

790
00:40:29,040 --> 00:40:31,839
Speaker 2: basically like it's a really big deal. It's the only

791
00:40:31,880 --> 00:40:34,359
Speaker 2: thing the Democrats like have like a claim to him,

792
00:40:34,360 --> 00:40:37,200
Speaker 2: not saying they're like doing well on your you know.

793
00:40:37,320 --> 00:40:40,200
Speaker 2: But like so I think that that's and I think

794
00:40:40,239 --> 00:40:44,640
Speaker 2: Trump understood that because he's brilliant understanding what the electorate wants,

795
00:40:44,880 --> 00:40:47,480
Speaker 2: and he sort of slotted RFK Junior into that position,

796
00:40:47,520 --> 00:40:50,040
Speaker 2: which I think was very smart, like helped him a

797
00:40:50,040 --> 00:40:52,719
Speaker 2: lot in terms of winning. But like, I just wish

798
00:40:52,800 --> 00:40:55,040
Speaker 2: there was another I love that he picked a liberal

799
00:40:55,080 --> 00:40:56,520
Speaker 2: for that, I just wish it would have been a

800
00:40:56,520 --> 00:40:57,400
Speaker 2: different one.

801
00:40:58,080 --> 00:41:00,120
Speaker 1: Yeah, I think that there, I think, but what we're

802
00:41:00,120 --> 00:41:02,560
Speaker 1: talking about two different types of voters. Like my friend

803
00:41:02,600 --> 00:41:05,160
Speaker 1: who like hated Trump a voted for him because of RFK.

804
00:41:05,840 --> 00:41:08,960
Speaker 1: She's not a lower income person. She's a higher income person.

805
00:41:09,480 --> 00:41:13,880
Speaker 1: And she's like a suburban mom who would be She's

806
00:41:13,960 --> 00:41:16,120
Speaker 1: just I mean, she would put her kids in a

807
00:41:16,120 --> 00:41:18,120
Speaker 1: bubble if she could. She's just that kind of person.

808
00:41:18,440 --> 00:41:21,120
Speaker 1: I think the working class person, and I know a

809
00:41:21,160 --> 00:41:24,040
Speaker 1: lot of them who are frankly overweight or don't live

810
00:41:24,040 --> 00:41:26,560
Speaker 1: the healthiest lifestyle. I don't think they voted for Trump

811
00:41:26,560 --> 00:41:29,000
Speaker 1: for that reason because I'm not sure they think that

812
00:41:29,280 --> 00:41:32,439
Speaker 1: it's what's going on there is wrong, and I think

813
00:41:32,480 --> 00:41:34,879
Speaker 1: to improve their life you kind of have to do

814
00:41:34,960 --> 00:41:39,160
Speaker 1: things like why is soda on food stamps? Why do

815
00:41:39,200 --> 00:41:41,560
Speaker 1: we put corn syrup still? And are things that should

816
00:41:41,560 --> 00:41:43,880
Speaker 1: have sugar in them or you know, other things like that,

817
00:41:44,000 --> 00:41:46,160
Speaker 1: or how much sugar we take into our diets is

818
00:41:46,320 --> 00:41:49,760
Speaker 1: literally astronomical. Literally, I think that the people who voted

819
00:41:49,760 --> 00:41:50,960
Speaker 1: for him were the wealthier ones.

820
00:41:51,000 --> 00:41:53,520
Speaker 2: I'm the poorld right, the Maha moms. Yeah, Megan McCain

821
00:41:53,560 --> 00:41:58,200
Speaker 2: talks about them very compellingly. Pro tip it's passover right now,

822
00:41:58,239 --> 00:42:03,319
Speaker 2: which means that coke is making the passover coke. So

823
00:42:03,560 --> 00:42:06,680
Speaker 2: juice can't eat corn on past Some juice, Saparta juice

824
00:42:06,680 --> 00:42:10,160
Speaker 2: can Ashkanazi Jews don't eat corn on passover, which means

825
00:42:10,160 --> 00:42:12,560
Speaker 2: that they make a coke just for us because we

826
00:42:12,640 --> 00:42:15,480
Speaker 2: drink so much freaking coke, and they make it with

827
00:42:15,520 --> 00:42:18,160
Speaker 2: sugar with cane sugar the way they make it in

828
00:42:18,200 --> 00:42:21,120
Speaker 2: other countries, as opposed to making it with corn syrup

829
00:42:21,160 --> 00:42:23,640
Speaker 2: and you can walk into any kosher supermarket and get it.

830
00:42:23,680 --> 00:42:26,920
Speaker 2: Has a yellow cap on the coke and it posher

831
00:42:27,000 --> 00:42:31,680
Speaker 2: for Passover and it's dulicious. So everybody in Brooklyn who's

832
00:42:31,719 --> 00:42:33,880
Speaker 2: not Jewish understands that this is the time that you

833
00:42:33,960 --> 00:42:36,560
Speaker 2: go into the kosher store and you load up on

834
00:42:37,440 --> 00:42:42,400
Speaker 2: JUW coke because it tastes so much butter and just

835
00:42:42,440 --> 00:42:44,160
Speaker 2: a pro tip, a free tip for.

836
00:42:45,840 --> 00:42:47,560
Speaker 1: I didn't even drink soda, but I'm going to give

837
00:42:47,560 --> 00:42:49,120
Speaker 1: it to my friends who do and be like, this

838
00:42:49,160 --> 00:42:52,319
Speaker 1: is what a real sugar tastes like because I did not.

839
00:42:52,520 --> 00:42:57,640
Speaker 1: I never knew that this isn't enlightening, this is this

840
00:42:57,680 --> 00:43:00,000
Speaker 1: is gonna change. This is a game changer right now,

841
00:43:00,239 --> 00:43:05,400
Speaker 1: ju coke is the way to go. All right, Bozie,

842
00:43:05,400 --> 00:43:07,560
Speaker 1: I've had you for longer. Thank you so much for

843
00:43:07,600 --> 00:43:10,360
Speaker 1: being on this podcast. Where can people read your stuff?

844
00:43:10,360 --> 00:43:13,359
Speaker 1: Because they should? Everyone should be subscribing to whatever you do.

845
00:43:13,400 --> 00:43:14,759
Speaker 1: Where should they? Where can they go?

846
00:43:15,320 --> 00:43:17,680
Speaker 3: So sweet? I don't really have something to plug right now.

847
00:43:17,680 --> 00:43:18,720
Speaker 3: You could buy my book.

848
00:43:19,560 --> 00:43:21,399
Speaker 1: Second question, what can I read the articles? Or follow

849
00:43:21,440 --> 00:43:21,960
Speaker 1: you on Twitter?

850
00:43:22,320 --> 00:43:24,840
Speaker 2: You can follow me on Twitter at Bunger Sargon or

851
00:43:24,880 --> 00:43:28,280
Speaker 2: on Instagram at batio Us. I write for the Free Press,

852
00:43:28,320 --> 00:43:30,400
Speaker 2: so I guess you could read my articles there.

853
00:43:31,920 --> 00:43:34,600
Speaker 1: Yeah, share them and tell them that the Free Press

854
00:43:34,760 --> 00:43:37,640
Speaker 1: is the best hire that they've ever had. So thank

855
00:43:37,680 --> 00:43:39,719
Speaker 1: you so so much.

856
00:43:39,840 --> 00:43:41,759
Speaker 3: I really appreciate you. Thank you so much.

857
00:43:41,760 --> 00:43:44,399
Speaker 1: You have me passover and enjoy your jeuw Coke. Hey,

858
00:43:44,440 --> 00:43:49,880
Speaker 1: we'll be right back after this. This brings us to

859
00:43:49,920 --> 00:43:52,160
Speaker 1: the Ask Me Anything segment, where I take questions from

860
00:43:52,200 --> 00:43:55,040
Speaker 1: listeners about anything. If you want to write and be

861
00:43:55,120 --> 00:43:57,120
Speaker 1: part of the Ask Me Anything segment, you can email

862
00:43:57,200 --> 00:44:00,560
Speaker 1: Ryan at Numbers Game Podcast dot com. That's Ryan at

863
00:44:00,640 --> 00:44:05,760
Speaker 1: Numbers Plural Numbers gamepodcast dot com. This email today comes

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Speaker 1: from Jacob, who says, will eleast Stefanik do better as

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Speaker 1: a governor canon than Lee Zelden if she runs in

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Speaker 1: twenty twenty six? This is a great question. I'm from

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Speaker 1: New York my entire life. I know New York state

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Speaker 1: politics really really well. So I'm really I know this.

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Speaker 1: This isn't a sports question. I can actually do this one. Okay,

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Speaker 1: So let's look at twenty twenty two per second. In

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Speaker 1: the twenty twenty two election New York governor the Hocal

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Speaker 1: won by six point four percent of the vote. She

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Speaker 1: won by about three hundred and eighty thousand votes New

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Speaker 1: York State. If you look at the state overall, which

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Speaker 1: is kind of like a triangle with like a little islands,

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Speaker 1: a couple islands that bounced off the end of it

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Speaker 1: at the bottom end of it, New York State is

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Speaker 1: really controlled by the lower nine counties. Fifty six percent

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Speaker 1: of all the votes that cast in New York State

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Speaker 1: come from just nine counties. That's Rockland, Westchester, the Bronx, Manhattan,

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Speaker 1: State Island, Brooklyn, Queens, Nassau, and Suffolk. The rest of

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Speaker 1: the state, the Hudson Valley, Upstate, Central and Western New

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Speaker 1: York only account for forty four percent, and that forty

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Speaker 1: four percent is shrinking as population loss is happening. Now

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Speaker 1: there are only two counties in upstate New York that

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Speaker 1: Stefanik would have more of an impact in because they

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Speaker 1: went for Cochl last time, and her district is very

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Speaker 1: close to them or represents part of them. But really

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Speaker 1: the reason why Zeldon did so well is because he

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Speaker 1: was able to draw up huge numbers out of Long Island,

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Speaker 1: where he represented in Congress and was a well known

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Speaker 1: name in Long Island and parts of New York City

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Speaker 1: have had this transformation. You stawt in the last election

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Speaker 1: in twenty twenty four when President Trump won Long Island

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Speaker 1: and when Staten Island and ended very very well throughout

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Speaker 1: the rust of New York City as Hispanic and Asian

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Speaker 1: voters really have left the Democratic Party in the city

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Speaker 1: and droves. But the fight is in those lower nine counties.

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Speaker 1: That's where this election will be one or lost. Hochel's

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Speaker 1: entire margin of victory as far as raw vote count goes,

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Speaker 1: comes from just Brooklyn and Man had it those two

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Speaker 1: counties is what affected the entire state of New York.

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Speaker 1: She couldn't have won without those two counties, without getting

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Speaker 1: the vote margin she did of those counties. Now, Zeldon

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Speaker 1: got an impressive forty point seven percent of the vote

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Speaker 1: in those lower nine counties. That is impressive given how

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Speaker 1: blue New York City is in general, but he really

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Speaker 1: needed to get like forty six percent in order to

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Speaker 1: win the election. Ever, is challenging Hochel, whether it be

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Speaker 1: Stephanic or allegedly Mike Lawler or allegedly the county chairman

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Speaker 1: of Nassau County is considered a running the Republican county

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Speaker 1: Chairman of Nasal County, Bruce Blakeman is his name. They're

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Speaker 1: all looking at running, but whoever is going to actually

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Speaker 1: win is going to make inroads further in roads than

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Speaker 1: Long Island and run up the score in Staten Island

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Speaker 1: and make up ground in southern Brooklyn, which has a

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Speaker 1: lot of Republican areas that could still go even further Republican.

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Speaker 1: Queen's is just absolutely has tons of voters up for grabs.

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Speaker 1: The Bronx Believer is now more Republican than Manhattan. The

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Speaker 1: Bronx is more Republican than Manhattan, and Queens is more

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Speaker 1: Republican than Westchester. You could not have said that sentence

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Speaker 1: twenty years ago. It is genuinely shocking how much the

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Speaker 1: state has changed, because how much Hispanic and Asian voters

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Speaker 1: and some working class white voters sho we're still kind

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Speaker 1: of on the fence, have changed. But if you want

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Speaker 1: a Republican governor, which is possible. It's difficult, but it's possible,

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Speaker 1: you're going to run up the numbers and Queens you're

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Speaker 1: going to get over forty percent in Queens. You're going

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Speaker 1: to run up into the mid fifties in Nasa County,

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Speaker 1: close to sixty in Suffolk County. Continue to get over

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Speaker 1: sixty percent in Staten Island, and then you really need

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Speaker 1: to cross the thirty thirty three percent threshold over in

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Speaker 1: Brooklyn and the Bronx, probably mid thirties in Brooklyn and

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Speaker 1: thirty percent in the Bronx, and that should do it.

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Speaker 1: Rockland is a Republican county thanks to the Orthodox Jewish

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Speaker 1: vote with both I think all three candidates actually are

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Speaker 1: very close to Blakeman is Jewish Defonic because you know,

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Speaker 1: the face of the fight against anti Semitism now in

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Speaker 1: the Congress, and Michael Lohler has deep connections with those,

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Speaker 1: with those voters that he represents in Congress. So those

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Speaker 1: are really the groups that you have to sit there

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Speaker 1: and carve and build out the structure, and then you

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Speaker 1: usually do well in upstate New York. Upstate New York's

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Speaker 1: changing because a lot of Manhattan Nights, Brooklyn Knights, they

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Speaker 1: have left the state, they've left the city rather and

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Speaker 1: they moved to the Hudson Valley. During COVID, that's turned

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Speaker 1: the area more blue than it used to be. And

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Speaker 1: a lot of refugee resettlement happened in that area in

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Speaker 1: Upstate New York and Central New York. So Upstate and

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Speaker 1: Central New York are not what they used to be.

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Speaker 1: They're not as reliably republican as they once were. The

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Speaker 1: fight is really in the city, and the city will

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Speaker 1: change the state. So the city in the outer boroughs,

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Speaker 1: the city of Nassau, Suffic, Westchester, Rockland, those areas. So

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Speaker 1: that's how you do it. You can get a Republican

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Speaker 1: governor New York. It is difficult, but the battle is

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Speaker 1: one and lost in the most popularly densely populated parts

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Speaker 1: of the southern part of the state. Thank you so

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Speaker 1: much for listening to this week's episode of the podcast.

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Speaker 1: I hope that you enjoyed it. Please like it, sub

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Speaker 1: scrub on the iHeartRadio app, Apple Podcasts, wherever you get

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Speaker 1: your podcasts. We'll see you all next week.