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Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics,

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Speaker 1: where we discussed the top political headlines with some of

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Speaker 1: today's best minds. And Elon Musk joked quote unquote in

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Speaker 1: a church about someone killing the vice president. By the way,

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Speaker 1: not the first time he's done this. We have such

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Speaker 1: a great show for you today. Former Senate staffer and

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Speaker 1: he really knows what's going on. Adam Jendilson stops by

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Speaker 1: to talk about the state of the race.

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Speaker 2: Then entrepreneur Mark.

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Speaker 1: Cuban will talk to us about why Donald Trump is

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Speaker 1: just wrong about America's economy.

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Speaker 2: But first the news.

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Speaker 3: So, Mollie, one of the things that you and I

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Speaker 3: know that a lot of people kind of miss the

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Speaker 3: news is that if there's one thing you could do,

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Speaker 3: you could always bet that you will age and to

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Speaker 3: be write about something Trump's flag about. And I'm going

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Speaker 3: to shock you all the things we said in Project

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Speaker 3: twenty twenty five documentary we made continue to age like

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Speaker 3: fine wine into being more and more true. What are

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Speaker 3: you seeing here with his ties to Project twenty twenty five.

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Speaker 1: So Jesse and I and really it was Jesse who

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Speaker 1: was the driving engine behind this and really got me

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Speaker 1: to grow up and do a really good job. Remember

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Speaker 1: all the time when you were like your roomors do echoey,

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Speaker 1: I'm going to kill you. But Jesse did this incredible

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Speaker 1: documentary which I basically just narrated on Project twenty twenty five.

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Speaker 1: You can find it on YouTube. And we did it

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Speaker 1: because we were worried people weren't talking about it enough.

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Speaker 1: We did it this summer in July, and I don't

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Speaker 1: think we were the causality. But luckily a lot of

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Speaker 1: people have started talking about it. That said, putting together,

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Speaker 1: threading the needle to show that it was Trump who

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Speaker 1: had these people who worked in his administration, and then

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Speaker 1: later wrote Project twenty twenty five that wasn't as commonly known,

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Speaker 1: especially because Trump immediately as Project twenty twenty five got

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Speaker 1: more famous, it got more unpopular because a lot of

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Speaker 1: this stuff and it is real Christo fascist stuff, and

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Speaker 1: then he disavowed it, quote unquote. But the Yek Times

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Speaker 1: is a really great, really beautiful, very well laid out

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Speaker 1: piece as they are able to do, which sort of

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Speaker 1: breaks down who from Trump world wrote what in Project

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Speaker 1: twenty twenty five.

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Speaker 2: And none of this should be a surprise.

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Speaker 1: None of it's a surprise to us probably none of

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Speaker 1: it's a surprised to you, but large portions of the

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Speaker 1: mandate for leadership, the driving document behind Project twenty twenty

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Speaker 1: five were written by longtime Trump loyalists who were advisors

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Speaker 1: during Trump's first term. Okay, so let's just break it

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Speaker 1: down for a minute. Eighteen of the forty authors and

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Speaker 1: editors worked on the documents worked on the documents served

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Speaker 1: in the first Trump administration. That's eighteen out of forty.

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Speaker 1: Of the two hundred and sixty seven additional contributors to

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Speaker 1: the Project twenty twenty five playbook, at least one hundred

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Speaker 1: and forty four also worked in mister Trump's administration or

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Speaker 1: on his campaign or transition teams. Twelve worked both in

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Speaker 1: mister Trump's first administration and on one of his transition

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Speaker 1: or campaign teams. Anyway, the point is twenty twenty five,

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Speaker 1: which was thought up by the Heritage Foundation, has a

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Speaker 1: lot of ties to Trump, and it really was written

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Speaker 1: as a playbook for if Trump could get back in office.

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Speaker 1: So if you don't like Project twenty twenty five and

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Speaker 1: you don't like the eyes to ears behind it, you're

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Speaker 1: probably not gonna like Donald Trump's second term.

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Speaker 3: Smiley I have been tuning into John Stewart's Monday night

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Speaker 3: daily shows because I've been finding them fun. But something

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Speaker 3: that I though you have a little umbrage with is uh.

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Speaker 3: In the opening segment, he made a lot of jokes

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Speaker 3: of saying like please come last, stop going near the

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Speaker 3: Cheney's and then he turned to Governor Walls and said,

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Speaker 3: you know, what the hell are you doing around these people?

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Speaker 3: Gave him a light scolding for bringing them around. What

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Speaker 3: are you seeing here?

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Speaker 1: As someone who has generationally my grandfather hated the Cheneye.

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Speaker 1: My mother thought did Cheney was pretty much the evilist

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Speaker 1: person to walk the face of the earth, I want

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Speaker 1: to make a case for the Cheneye here. Okay, the

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Speaker 1: reason why Harris is campaigning with Liz Cheney is not

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Speaker 1: because she likes Liz Cheney. It's not because she wants

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Speaker 1: to enact Liz Cheney's policies. She's doing it because Donald

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Speaker 1: Trump is not normal. Donald Trump is an autocrat. Liz

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Speaker 1: Cheney is, and Liz Cheney is campaigning with Harris because

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Speaker 1: she wants to signal that too. This is not about policy,

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Speaker 1: This is not about beliefs. This is about stopping a

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Speaker 1: singularly destructive force in American politics.

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Speaker 2: And while it's.

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Speaker 1: Annoying to many of us who don't believe in the

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Speaker 1: Cheney zeitgeist, who don't believe in Cheney's policies, all of

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Speaker 1: us see, or at least I see, what this signals.

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Speaker 1: And it signals that American democracy is way more precious

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Speaker 1: than any of the sort of larger policy agenda. And

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Speaker 1: the reason that these two unlikely seed mates are touring.

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Speaker 2: Is because of that.

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Speaker 1: You really want to appeal to these people. You want

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Speaker 1: to give them permission, You want to say, look, you know,

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Speaker 1: you may have never voted Republican before. Because for Harris

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Speaker 1: to win this thing, Republican women need to step up.

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Speaker 1: And we know from twenty twenty two that Republican women

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Speaker 1: do not like the Dobbs decision. They are largely pro choice.

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Speaker 1: They don't like the idea that they can't get medical

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Speaker 1: care in the first trimester, that they can't take medicine

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Speaker 1: if they are having a miscarriage. They don't like a

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Speaker 1: lot of the Project twenty twenty five agenda, and yet

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Speaker 1: their whole lives they have voted Republican. So Liz Cheney

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Speaker 1: is a symbol right the idea here is not that

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Speaker 1: Liz Cheney is where the Democratic Party is headed. The

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Speaker 1: idea here is that Liz Cheney can say to these

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Speaker 1: women it's okay to vote for Harris. And I think

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Speaker 1: it's powerful, and I think that the idea that this

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Speaker 1: has anything to do with anything else is really misguided.

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Speaker 1: This is the hill I'm happy to die on Somali.

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Speaker 3: A lot of fundraising news with the PC filings coming out.

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Speaker 3: What are you seeing here?

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Speaker 1: This is like just what you think it's going to be,

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Speaker 1: right Donald Trump. I mean, I guess maybe it's not

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Speaker 1: in a way because Donald Trump did so well in

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Speaker 1: his first run with small dollar donors that maybe it's

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Speaker 1: a little bit surprising. But this second run is largely

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Speaker 1: funded by billionaires and trillion you know, billionaires, people like

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Speaker 1: Elon Musk, people like Maryon Adelson. Basically, the transactional nature

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Speaker 1: of Donald Trump has gotten these billionaires very excited. Right,

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Speaker 1: So Mary Adelson got a lot of stuff that she

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Speaker 1: and Sheldon had wanted in the first Trump Admin. They

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Speaker 1: are hoping that in the second Trump Admin he's dead,

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Speaker 1: so just her, she is hoping the second Trump Admin.

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Speaker 1: Who even knows what she wants for Israel? But something crazy.

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Speaker 1: And then you've got Elon Musk yesterday the New York

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Speaker 1: Times that are really really important piece about how Elon

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Speaker 1: Musk was fighting with every different federal regulatory agency and

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Speaker 1: how he was being fined by different agencies. And remember,

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Speaker 1: Elon Musk has planted himself in Pennsylvania in the hopes

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Speaker 1: of helping Trump win, which we'll see how that works.

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Speaker 1: He clearly has decided that this could end well for him.

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Speaker 1: So we see that Donald Trump is getting this last cycle.

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Speaker 1: He's raised half a billion dollars and donors giving one

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Speaker 1: million or more or super packs have given about half

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Speaker 1: of it.

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Speaker 3: So, Maley, if we think back to four billion years

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Speaker 3: ago with Kamala Harris whooped Donald Trump's ass during the

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Speaker 3: presidential debate, one of the many shocking moments that just

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Speaker 3: kind of disappeared the next day was that he really

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Speaker 3: said some nasty things about the Exonerated five formerly known

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Speaker 3: as the Central Park Five. What do you see here?

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Speaker 1: We had a member of the exonerated five on this podcast,

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Speaker 1: Usef Salam, and he's a city councilman in Harlem now,

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Speaker 1: which is exciting. They're all in their fifties now, remember

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Speaker 1: their own lives were destroyed by this experience, and Donald

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Speaker 1: Trump took out a full page ad saying that they

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Speaker 1: should get the death penalty. He has continued to defame them.

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Speaker 1: You're going to be shocked to hear it, because that's

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Speaker 1: what he does. And now the five men have filed

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Speaker 1: the lawsuit in Pennsylvania suing the former president, accusing him

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Speaker 1: of false and defamatory statements he made during the presidential

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Speaker 1: debate in September where he continued where he continued to

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Speaker 1: defame the exonerated five. So we'll see what happens, but

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Speaker 1: certainly looks like we're gonna see more of this story.

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Speaker 1: Adam Gentlelsen is a former Senate staffer for Harry Reid

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Speaker 1: and John Fetterman.

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Speaker 2: Welcome back.

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Speaker 1: I don't actually know if you've ever been on this

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Speaker 1: particular podcast, Adam, though I was with you before, yes,

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Speaker 1: in the olden days, before you went back into staff

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Speaker 1: or land. So I want you to give our listeners

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Speaker 1: just a little biography of your political history, if that's okay.

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Speaker 4: Sure.

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Speaker 5: Well, I've been doing this about twenty years now, and

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Speaker 5: we're so old.

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Speaker 4: I know I know what that got.

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Speaker 2: Sorry, No, I'm forty six. When you said that I

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Speaker 2: was like, oh, yeah, twenty years ago.

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Speaker 5: Right, well, you know, like green Day albums are being reissued, right, real, real,

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Speaker 5: reality check.

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Speaker 2: I am was a band we listened to Yes.

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Speaker 5: Continue exactly, yes, now these are classic rock backs right.

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Speaker 5: So anyway, so I you know, in my twenties, I

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Speaker 5: worked with a bunch of different campaigns, a couple of

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Speaker 5: presidential campaigns, some other campaigns, and then so of worked.

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Speaker 2: Non Mike do Caucus. No, I'm just kidding, We're.

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Speaker 4: Not quite but you know, yes, don Erry.

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Speaker 5: I think at this point is about you know, same

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Speaker 5: reference points for a lot of people who are listening

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Speaker 5: to this. And then eventual on my way to the Senate,

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Speaker 5: where I worked for the Democratic leader Harry Reid for

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Speaker 5: him for about eight years and was mostly doing communications.

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Speaker 5: It was his books for a while, rose to be

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Speaker 5: whif a staff, learned a lot about the Senate, learned

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Speaker 5: a lot about how politics works, and then left that

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Speaker 5: back when Trump was elected was the same time when

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Speaker 5: Reid retired. So went back to the nonprofit world. Decided

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Speaker 5: to use my experience to the Senate to write a

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Speaker 5: book about the Senate called Philibuster. Yeah, to make the

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Speaker 5: case for why the philibuster is bad and needs to

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Speaker 5: be reformed. And then was sort of happily living the

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Speaker 5: nonprofit life. And then I hooked up with the Betterment

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Speaker 5: Campaign in Pennsylvania in twenty twenty two and then was

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Speaker 5: asked to come in and be as chief of staff.

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Speaker 5: So did that until very recently left the Senate in June,

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Speaker 5: and I'm now a floating Democratic strategist doing consulting for

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Speaker 5: various projects to try to advance the cause of good

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Speaker 5: here in this world.

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Speaker 1: So let's talk first about Harry Raid, because he sort

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Speaker 1: of held up as one of the masters of the Senate,

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Speaker 1: like Lyndon Johnson level Senate organizing whipping.

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Speaker 2: He created a machine in Nevada.

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Speaker 1: So can you sort of just give us a little

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Speaker 1: bit of a thought of what sort of where he

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Speaker 1: is right now and what you think sort of his

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Speaker 1: take on this is and your take on this and

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Speaker 1: having worked in an organization, you know, having sort of

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Speaker 1: done for him and been able to sort of move

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Speaker 1: that along.

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Speaker 5: Well, I think if you were here with us today,

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Speaker 5: I mean, he would be unsurprised that things were are

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Speaker 5: as close as they are. He would be unsurprised that

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Speaker 5: it's coming down to a very close race in Nevada

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Speaker 5: because he you mentioned the read machine. I mean, this

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Speaker 5: is this sort of legendary organization that he spent the

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Speaker 5: better part of twenty years building up as sort of

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Speaker 5: a union of organized labor, state party and align nonprofit

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Speaker 5: groups that work year in and year out to do

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Speaker 5: things like voter registration, field organizing, driving message selecting high quality,

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Speaker 5: successful electable candidates, and working hand in glove with organized labor.

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Speaker 5: And the reason he built that is interesting because I

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Speaker 5: think it sort of showed his premonition of what was

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Speaker 5: to come. You know, back in two thousand and four,

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Speaker 5: the Democratics kind of leader was a guy named Tom

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Speaker 5: Dashel from South Dakota, and in what was considered a

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Speaker 5: major violation of norms at the time, Republicans campaigned against

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Speaker 5: Dashel on a national level. Republicans were coming in from

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Speaker 5: out of state campaign against him, and they succeeded in

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Speaker 5: knocking him off. And so when Reid became leader, he

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Speaker 5: knew he succeeded Dashel, and he knew that he was

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Speaker 5: going to have to fight not just the normal forces

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Speaker 5: that Senators were used to fighting, but he knew the

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Speaker 5: national Party was going to come after him and make

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Speaker 5: him a target, and so he spent enormous amounts of

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Speaker 5: time building this machine, and I think that was a

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Speaker 5: precursor to the partisan politics that lay ahead of us.

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Speaker 5: So he would not be surprised that things have gotten

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Speaker 5: as polarized as they are. You know, a lot of

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Speaker 5: his set of leadership was premised on the idea that

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Speaker 5: Republicans were acting in bad faith and people he had

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Speaker 5: previously worked with and found able to work across the

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Speaker 5: aisle on legislation, with all of a sudden, we're responding

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Speaker 5: to forces like the Tea Party and going all out

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Speaker 5: and obstructing anything Democrats wanted to do, regardless of the merits.

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Speaker 5: So he was sort of an early adapter, and I

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Speaker 5: think a visionary in a lot of ways at seeing

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Speaker 5: the partisan political environment that was to come and building

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Speaker 5: structures that could advance democratic interests and fight back against

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Speaker 5: Republicans in the face of those gathering forces.

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Speaker 1: God, that's so interesting and I think, yeah, that definitely

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Speaker 1: tracks with my sense.

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Speaker 2: So you went to work for Fetterman.

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Speaker 1: That was a race that even though twenty two was

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Speaker 1: a lower turnout because it's a midterm, it does speak

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Speaker 1: you know, Pennsylvania has become the star of the selection, right,

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Speaker 1: and I'm wondering if you can sort of take your

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Speaker 1: experience from twenty twenty two and sort of broaden it

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Speaker 1: out to talk about where we are in Pennsylvania and

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Speaker 1: twenty twenty four.

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Speaker 5: Absolutely, I mean, I think I see a lot of similarities,

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Speaker 5: hopefully good ones, as well as difficult ones in Pennsylvania

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Speaker 5: this cycle as last cycle. I mean, look, the thing

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Speaker 5: about Pennsylvania is it's one of the states that most

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Speaker 5: closely mirrors the nation. It's demographics breakdown in ways that

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Speaker 5: are very similar to the overall national demographics of the country.

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Speaker 5: It's got really dense urban areas in Philadelphia and the

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Speaker 5: Coller Counties. It's got very populous suburbs around Philadelphia, and

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Speaker 5: Pittsburgh is a big population center as well. In the

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Speaker 5: western part of the state, and then in between and

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Speaker 5: especially in the west, you've.

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Speaker 4: Got a ton of rural areas.

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Speaker 5: You've got a ton of farmland, lots of different industries,

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Speaker 5: and lots of towns that have been pretty hard hit

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Speaker 5: places where industry has left, steel towns that there are

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Speaker 5: no more so, you know, you really the rust belt

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Speaker 5: starts in western Pennsylvania, and so it's a microcossum as

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Speaker 5: a state of the entire nation. And I think what

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Speaker 5: you're seeing there, I believe, is a similar strategy by

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Speaker 5: Democrats to win as the one Federman used to win

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Speaker 5: in twenty twenty two, where they are definitely focusing on

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Speaker 5: driving up turnout in the big urban areas, and that's

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Speaker 5: always very important, but they're also focusing on the suburbs

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Speaker 5: and the caller counties where there are a lot of

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Speaker 5: people who might have voted Republican in previous elections, but

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Speaker 5: who are alienated from Trump by his style, by his

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Speaker 5: disrespect for democracy, his authoritarian tendencies, and also by his

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Speaker 5: stance on abortion and his opposition to abortion and his

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Speaker 5: is desired to take health care away from people. And

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Speaker 5: then the third thing that's part of the strategy is

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Speaker 5: focusing on the rural counties and not letting Republicans run

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Speaker 5: up the score. You know, Democrats are not going to

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Speaker 5: win a lot of these rural counties or a lot

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Speaker 5: of these forgotten communities, but to win the state overall,

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Speaker 5: it's really important to hold down Republicans' margins of victory

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Speaker 5: in those rural counties, especially in the western part of

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Speaker 5: the state. And if you've been watching Vice President Harris's

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Speaker 5: travel schedule and Governor Wallace's travel schedule, they've been spending

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Speaker 5: a lot of time in that western part of the state.

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Speaker 5: Not because they think they're gonna win out right there,

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Speaker 5: because holding down those margins will help them win the

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Speaker 5: state overall. Ultimately, I think that that is going to succeed.

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Speaker 1: So I wrote this piece for Fanny Fair just like

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Speaker 1: a day ago, about how twenty twenty four is not

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Speaker 1: twenty sixteen though, were all still so super traumatized. And

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Speaker 1: one of the things I went back and looked at

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Speaker 1: Clinton's travel schedule. You can say a lot of things

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Speaker 1: when you're talking, you can criticize her for whatever, but

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Speaker 1: if you look at the actual dates, it's really anemic. Right,

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Speaker 1: Like she spent twelve days in Florida. She didn't go

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Speaker 1: to Wisconsin. Now, obviously there were reasons they thought that

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Speaker 1: her going to Wisconsin would not necessarily help her, but

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Speaker 1: like even three days in Pennsylvania, you know, it just

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Speaker 1: wasn't a ton of time. And I talked to a

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Speaker 1: congress person who said to me that, in fact, Harris

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Speaker 1: is doing the exact opposite of what Clinton did, and

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Speaker 1: that every time they're trying to make plans, she's coming

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Speaker 1: back to the state. He's in Pennsylvania, and I'm wondering

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Speaker 1: if you can sort of talk us through that.

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Speaker 5: Yeah, I think that they are taking nothing for granted.

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Speaker 5: I think, you know, look, the Clinton campaign was very tough.

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Speaker 5: There was a misread of the data, and there was

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Speaker 5: a level of cocky nests going into the final weeks that,

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Speaker 5: as we all know, proved unfounded. So you know, the

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Speaker 5: Hairs campaign is not taking that approach. They are being

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Speaker 5: extremely smart with the candidate's time. They are going to

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Speaker 5: all the places that are must have so she's not

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Speaker 5: spending a lot of time in nice to have. So

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Speaker 5: I think I was reading an article just yesterday on

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Speaker 5: I think it was October twenty fourth, in twenty sixteen.

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Speaker 5: So even later in a game that now, Clinton went

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Speaker 5: to Arizona trying to put that on the map, which

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Speaker 5: she ended up losing, you know, by a lot. So

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Speaker 5: Hair's campaign is not doing that. She is in Texas today,

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Speaker 5: but that is for a different reason. She's in Texas

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Speaker 5: for a very smart reason, not because they think they

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Speaker 5: can win it, but because it is a state with

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Speaker 5: obviously very draconian abortion laws, and that is one of

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Speaker 5: their strongest closing messages.

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Speaker 4: And so she's using.

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Speaker 5: That appearance to generate what we in the business called

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Speaker 5: earned media, but regular people call clips and news coverage

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Speaker 5: about abortion. She's raising the salience of this critical issue

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Speaker 5: by going there. So it's a really really smart play

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Speaker 5: because you know, so you have to keep generating material

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Speaker 5: for stories, you can keep talking about abortion, and you

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Speaker 5: can put it in paid media.

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Speaker 4: All of that is smart.

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Speaker 5: But going to Texas, highlighting the laws there, talking with

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Speaker 5: real people, generates a different level of coverage that drives

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Speaker 5: one of their strongest closing messages. So I think they're

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Speaker 5: being really really smart about how they use the candidate's

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Speaker 5: time in these closing days, and ultimately I think that's

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Speaker 5: what's going to deliver the election there.

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Speaker 1: One of the things that I want you to talk

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Speaker 1: about is that Elon Musk has planted himself in the

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Speaker 1: state of Pennsylvania and is now doling out million dollar checks,

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Speaker 1: maybe because it's Elon Musk, maybe not for people who

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Speaker 1: sign a petition saying they agree with the First and

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Speaker 1: Second Amendment and are registered voters in the state of Pennsylvania.

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Speaker 1: Do you think that a South African billionaire like Elon

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Speaker 1: Musk will help Trump in Pennsylvania.

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Speaker 5: We live in this era where it's like you never

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Speaker 5: want to say something that strikes you is totally off

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Speaker 5: and weird. It's going to end up playing that way

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Speaker 5: with the broader electorate because it's been really hard to

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Speaker 5: read the way the electric reacts to things the last cycles.

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Speaker 5: But having said that caveat, I will go out on

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Speaker 5: a limb and say, I do not think this is

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Speaker 5: going to help Trump. I think that they've sort of

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Speaker 5: over orked the dude bro messaging a little bit. And

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Speaker 5: I want to be precise here because I do think

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Speaker 5: that if there will be an enormous gender gap, I

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Speaker 5: think that Trump will run up the score with men,

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Speaker 5: and particularly with young men. But the problem is a

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Speaker 5: lot of the messaging that he's using to try to

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Speaker 5: run up a score is having you know, everything has

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Speaker 5: it as an equal opposite reaction, right, basic laws of physics.

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Speaker 5: I think here the equal and opposite reaction is it's

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Speaker 5: turning off a huge number of women and men who

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Speaker 5: aren't into that version of masculinity. And so I think

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Speaker 5: when you look, when I come back to the collar

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Speaker 5: counties around Philadelphia, right, and the suburbs there. And I

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Speaker 5: think about the people in the suburbs who are potentially

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Speaker 5: very moderate, maybe voted for some Democrats, maybe voted for

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Speaker 5: some Republicans in their lives, and when they see a

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Speaker 5: clown like Elon doing what he's doing, that just adds

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Speaker 5: to their sense. If they're undecided at this point, part

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Speaker 5: of the reason is that they fear the chaos and

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Speaker 5: messiness and disorder of a Trump presidency, and Elon adds

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Speaker 5: to the sense that that is what's coming down the

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Speaker 5: pike if Trump wins, not to mention that, he's probably

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Speaker 5: going to stiff the people that he's promising these checks

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Speaker 5: to and it will probably generate a lot of negative

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Speaker 5: media in addition to some of the sort of positive

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Speaker 5: media around the promise that he hopes it will will generate. So,

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Speaker 5: you know, I think on net Elon is a polarizing figure,

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Speaker 5: and I think the people who are undecided at this

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Speaker 5: late stage aren't looking for more polarization, looking for a

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Speaker 5: reason to believe that their lives are going to improve,

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Speaker 5: and I don't think Elon delivers that, right, But he.

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Speaker 2: Did go to pen so I love that.

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Speaker 1: So at this moment, if you're watching this election from

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Speaker 1: your living room and absolutely freaking out, as is everyone,

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Speaker 1: I know, what would be the things you would sort

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Speaker 1: of be looking at to tell you how it's going.

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Speaker 5: I think the thing to remember is this is going

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Speaker 5: to be a very close race, and we're an all

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Speaker 5: likelihood going to go into election day without a clear

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Speaker 5: sense of who is going to win. But that's a

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Speaker 5: good thing in the sense that two or three months

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Speaker 5: ago we were very far behind as Democrat, and you know,

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Speaker 5: Harris has put herself in a put in to win,

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Speaker 5: and that's in and of itself as a huge improvement.

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Speaker 5: She had also improved across the board on really key

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Speaker 5: underlying metrics like who people trust to handle the economy,

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Speaker 5: who people trust to handle jobs. She's even improved on

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Speaker 5: immigration and overall favorability. So she's really done a remarkable

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Speaker 5: job at driving up the positives on the issues that

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Speaker 5: people are probably going to use when they are late deciders.

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Speaker 5: What gives me confidence that even in a very close

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Speaker 5: race this is going to tell her way is that

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Speaker 5: her coalition is being built on pretty reliable frequent voters,

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Speaker 5: and Trump is counting on a historic over performance among

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Speaker 5: unreliable voters. He's counting on what we in the political

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Speaker 5: science call race depolarization, where democrats historic high performance with

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Speaker 5: non white voters is going to break off break his way.

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Speaker 4: Now.

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Speaker 5: I'm sure that will happen a little bit because we've

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Speaker 5: seen it happen in past election cycles and it definitely

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Speaker 5: is this broader trend that that is occurring. But for

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Speaker 5: Trump to win, he needs it to happen a lot.

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Speaker 5: So I think that's you know, if you ask what

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Speaker 5: am I looking at, I'm looking at Harris's performance in

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Speaker 5: the suburbs with white college educated voters, and I'm also

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Speaker 5: looking at Trump's performance with non college non white voters,

438
00:22:58,280 --> 00:23:01,560
Speaker 5: And if Trump has huge margins with that crowd, then

439
00:23:01,840 --> 00:23:03,920
Speaker 5: he has a decent shot at victory. But if Harris

440
00:23:03,960 --> 00:23:07,359
Speaker 5: has huge margins with the white suburban crowd and the

441
00:23:07,359 --> 00:23:10,199
Speaker 5: college educated crowd in general of all races, then I

442
00:23:10,200 --> 00:23:11,240
Speaker 5: think she's going to win.

443
00:23:11,520 --> 00:23:11,760
Speaker 2: Yeah.

444
00:23:11,840 --> 00:23:15,200
Speaker 1: I think that what you're saying is that relying on

445
00:23:15,359 --> 00:23:19,920
Speaker 1: hyperpensity voters is usually a better bet than relying on

446
00:23:20,480 --> 00:23:21,840
Speaker 1: low propensity voters.

447
00:23:22,320 --> 00:23:25,520
Speaker 5: That's right, Well, I mean, especially because Trump is relying

448
00:23:25,520 --> 00:23:28,119
Speaker 5: on low propensity voters to do something they've never done before,

449
00:23:28,480 --> 00:23:31,679
Speaker 5: and that is break heavily for a Republican candidate. So

450
00:23:32,400 --> 00:23:36,359
Speaker 5: it's betting against history, and it's betting against pretty reliable trends.

451
00:23:36,400 --> 00:23:39,119
Speaker 5: And again he will have He might perform better with

452
00:23:39,359 --> 00:23:43,760
Speaker 5: them than any other recent presidential candidate, but that's not necessarily.

453
00:23:43,320 --> 00:23:44,040
Speaker 4: Enough to win.

454
00:23:44,200 --> 00:23:49,199
Speaker 5: He needs a really significant overperformance with those groups in

455
00:23:49,320 --> 00:23:53,000
Speaker 5: order to deconstruct Democrats winning coalition. And I don't think

456
00:23:53,000 --> 00:23:53,800
Speaker 5: that's going to happen.

457
00:23:54,320 --> 00:23:55,960
Speaker 2: Yeah, really important point.

458
00:23:56,440 --> 00:23:59,600
Speaker 1: Can you explain to us, really there's a Senate seat

459
00:24:00,080 --> 00:24:04,200
Speaker 1: in Pennsylvania, Bob Casey, You know, there are a bunch

460
00:24:04,200 --> 00:24:08,640
Speaker 1: of Senate seats that are like his two right, Rosen

461
00:24:08,760 --> 00:24:14,119
Speaker 1: and Nevada, people who are like really sort of known

462
00:24:14,280 --> 00:24:20,159
Speaker 1: quantities who are defending their seats in states that are unpredictable.

463
00:24:20,359 --> 00:24:22,639
Speaker 1: If you're looking at that map, do you have any

464
00:24:22,880 --> 00:24:24,200
Speaker 1: thoughts you want to add there?

465
00:24:24,480 --> 00:24:27,680
Speaker 4: I feel pretty good about our Senate map.

466
00:24:27,520 --> 00:24:30,560
Speaker 1: Which is amazing considering how bad a map it is,

467
00:24:30,960 --> 00:24:34,159
Speaker 1: the way that incumbency has worked out it is.

468
00:24:34,880 --> 00:24:37,520
Speaker 5: It's a really really challenging map for Democrats. It's one

469
00:24:37,520 --> 00:24:40,960
Speaker 5: of our most challenging maps in several election cycles. Ultimately,

470
00:24:41,040 --> 00:24:44,920
Speaker 5: I think incumbents like Senator Casey, Senator Rosen, Senator Baldwin,

471
00:24:45,040 --> 00:24:47,760
Speaker 5: they have incredibly strong records. They've got not just strong

472
00:24:47,840 --> 00:24:51,320
Speaker 5: legislative records, but electorally, you know, a strong record of

473
00:24:51,359 --> 00:24:54,640
Speaker 5: connecting to the people of their states and representing their

474
00:24:54,640 --> 00:24:57,480
Speaker 5: interests in not necessarily a showy way, but in a

475
00:24:57,480 --> 00:25:01,080
Speaker 5: way that really delivers results. So they've got great records

476
00:25:01,119 --> 00:25:03,679
Speaker 5: to point two, and I think that's going to be

477
00:25:03,760 --> 00:25:06,479
Speaker 5: what carries them over. They've also got, especially in Casey's case,

478
00:25:06,520 --> 00:25:09,800
Speaker 5: of pretty flawed candidated Dan McCormick Republicans. He simply can't

479
00:25:09,800 --> 00:25:12,160
Speaker 5: seem to find a candidate who lives in the comonwealth

480
00:25:12,160 --> 00:25:15,320
Speaker 5: of Pennsylvania to run for Senate there. Yeah, I think

481
00:25:15,359 --> 00:25:17,560
Speaker 5: that's going to be a factor as well. You know,

482
00:25:17,680 --> 00:25:20,480
Speaker 5: it will come down to probably one or two seats

483
00:25:20,520 --> 00:25:23,280
Speaker 5: in Ohio. But I think Senator Brown is looking very strong,

484
00:25:23,280 --> 00:25:25,840
Speaker 5: has run an incredibly strong campaign. Talk about a guy

485
00:25:25,840 --> 00:25:28,080
Speaker 5: who fits the state. I mean, he really really fits

486
00:25:28,160 --> 00:25:31,240
Speaker 5: that state well and has always represented its interests very well.

487
00:25:31,680 --> 00:25:34,480
Speaker 5: If Tester could pull out come from behind victory in Montana,

488
00:25:34,520 --> 00:25:36,679
Speaker 5: it would not be shocking because he's done it before

489
00:25:37,119 --> 00:25:40,080
Speaker 5: and he knows that state incredibly well. But then Democrats

490
00:25:40,119 --> 00:25:44,760
Speaker 5: also have some outside shots at states like Texas and Florida.

491
00:25:45,040 --> 00:25:48,720
Speaker 5: There's Dan Osborne running in Nebraska as an independent, Yeah,

492
00:25:48,840 --> 00:25:50,720
Speaker 5: the last he would couct us with.

493
00:25:51,119 --> 00:25:52,640
Speaker 2: We've had him on the podcast.

494
00:25:52,920 --> 00:25:56,119
Speaker 5: Yeah, and he's running against the Republicans. So Democrats are

495
00:25:56,160 --> 00:25:58,320
Speaker 5: going to make it really close and then have a

496
00:25:58,440 --> 00:26:01,160
Speaker 5: few shots at getting to the magic number of fifty.

497
00:26:01,440 --> 00:26:04,640
Speaker 5: If this is an election where leaked deciders break Harris's

498
00:26:04,680 --> 00:26:06,760
Speaker 5: way and break democrats way, I think that's going to

499
00:26:06,840 --> 00:26:09,920
Speaker 5: boost these set up races in a really, really important way.

500
00:26:10,359 --> 00:26:12,000
Speaker 2: Yeah, thank you, Adam.

501
00:26:12,680 --> 00:26:14,600
Speaker 4: You are welcome, Molly, so good to see you again.

502
00:26:15,359 --> 00:26:18,160
Speaker 1: Are you concerned about Project twenty twenty five and how

503
00:26:18,200 --> 00:26:20,320
Speaker 1: awful Trump's second term could be?

504
00:26:20,560 --> 00:26:22,880
Speaker 2: Well, so are we, which is why.

505
00:26:22,720 --> 00:26:25,480
Speaker 1: We teamed up with iHeart to make a limited series

506
00:26:25,520 --> 00:26:29,520
Speaker 1: with the experts on what a disaster Project twenty twenty

507
00:26:29,560 --> 00:26:32,560
Speaker 1: five would be for America's future. Right now, we have

508
00:26:32,880 --> 00:26:36,720
Speaker 1: just released the final episode of this five episode series.

509
00:26:36,840 --> 00:26:40,800
Speaker 1: They're all available by looking up Molly Jong Fast Project

510
00:26:40,800 --> 00:26:43,840
Speaker 1: twenty twenty five on YouTube, and if you are more

511
00:26:43,840 --> 00:26:47,600
Speaker 1: of a podcast person and not say a YouTuber, You

512
00:26:47,680 --> 00:26:50,080
Speaker 1: can hit play and put your phone in the lock

513
00:26:50,160 --> 00:26:52,920
Speaker 1: screen and it will play back just like a podcast.

514
00:26:53,200 --> 00:26:55,560
Speaker 1: All five episodes are online now.

515
00:26:55,760 --> 00:26:56,840
Speaker 2: We need to educate.

516
00:26:56,600 --> 00:27:00,320
Speaker 1: Americans on what Trump's second term would or could due

517
00:27:00,359 --> 00:27:00,640
Speaker 1: to this.

518
00:27:00,680 --> 00:27:03,200
Speaker 2: Country, So please watch it and spread the word.

519
00:27:05,680 --> 00:27:11,200
Speaker 1: Mark Cuban is an entrepreneur and post of the show

520
00:27:11,480 --> 00:27:15,560
Speaker 1: Sharp Tank. Welcome to Fast Politics, Mark Cuban, Thanks, Molly,

521
00:27:15,960 --> 00:27:17,800
Speaker 1: so excited to have you.

522
00:27:17,800 --> 00:27:22,000
Speaker 2: You are everywhere explaining tariffs. Just explain to me.

523
00:27:22,359 --> 00:27:25,480
Speaker 1: Is it that Donald Trump just fundamentally does not understand

524
00:27:25,520 --> 00:27:26,520
Speaker 1: how tariffs work.

525
00:27:26,880 --> 00:27:29,080
Speaker 4: I think he used to. I think he used to

526
00:27:29,119 --> 00:27:31,600
Speaker 4: have a really good grasp of prey to a certain

527
00:27:31,600 --> 00:27:34,439
Speaker 4: extent in the late nineties and early two thousand and

528
00:27:35,040 --> 00:27:38,840
Speaker 4: I think he just doesn't any longer. And he's more

529
00:27:38,880 --> 00:27:42,560
Speaker 4: salesperson than anything else. And sometimes when you're selling something,

530
00:27:43,040 --> 00:27:46,360
Speaker 4: you get so caught up in what you're saying, then

531
00:27:46,400 --> 00:27:47,879
Speaker 4: you can't go back on it because you said it

532
00:27:47,920 --> 00:27:49,639
Speaker 4: too many times. And I think that's where he is.

533
00:27:49,800 --> 00:27:51,919
Speaker 4: And then I think there's people in you know, the

534
00:27:51,920 --> 00:27:55,720
Speaker 4: Peter Navarro's and the Lighthousers who have kind of explained

535
00:27:55,720 --> 00:27:58,440
Speaker 4: it to him in a way that kind of reinforces

536
00:27:58,480 --> 00:28:01,360
Speaker 4: it so that you know, all those things go. He'll

537
00:28:01,359 --> 00:28:04,320
Speaker 4: talk about one thing and they'll try to do something different.

538
00:28:04,840 --> 00:28:07,879
Speaker 1: Right, It strikes me that there is a kind of

539
00:28:08,119 --> 00:28:11,600
Speaker 1: collective amnesia too. Like one of the things I think

540
00:28:11,640 --> 00:28:14,720
Speaker 1: has made you a very effective messenger here is that

541
00:28:14,960 --> 00:28:19,000
Speaker 1: it feels like Trump can only be debunked by someone

542
00:28:19,320 --> 00:28:24,199
Speaker 1: of sort of equal or greater celebrity status known for

543
00:28:24,440 --> 00:28:28,200
Speaker 1: being and you are actually someone who understands finance.

544
00:28:28,280 --> 00:28:30,880
Speaker 2: But do you see this strange paradox?

545
00:28:31,200 --> 00:28:33,479
Speaker 4: Yeah, for sure, because you know, people know me from

546
00:28:33,520 --> 00:28:36,520
Speaker 4: Shark Tank, and so they me talk about businesses and

547
00:28:36,560 --> 00:28:39,719
Speaker 4: talk to businesses and invest in hundreds of businesses, so

548
00:28:39,760 --> 00:28:41,800
Speaker 4: they know I've been through it. They also know, from

549
00:28:41,760 --> 00:28:44,080
Speaker 4: the most part, I'm an entrepreneur, so I've been through

550
00:28:44,120 --> 00:28:47,080
Speaker 4: the struggles of starting a company with no money. So

551
00:28:47,400 --> 00:28:49,920
Speaker 4: I can relate to people at all level, from people

552
00:28:49,960 --> 00:28:52,200
Speaker 4: who are sleeping on the floor like I did trying

553
00:28:52,240 --> 00:28:55,000
Speaker 4: to start a business, to people who've gotten fired, to

554
00:28:55,120 --> 00:28:57,840
Speaker 4: people who have had success and had excess in their companies.

555
00:28:57,880 --> 00:29:00,479
Speaker 4: And so I've been through all that, so can I

556
00:29:00,520 --> 00:29:03,360
Speaker 4: relate to them? But I can give them specific examples

557
00:29:03,360 --> 00:29:05,680
Speaker 4: to prove that I've been there. That's something that Donald

558
00:29:05,720 --> 00:29:07,640
Speaker 4: Trump can't do because he's never been there.

559
00:29:07,960 --> 00:29:11,680
Speaker 1: So you also actually like live in a red state

560
00:29:11,800 --> 00:29:14,280
Speaker 1: and have been very involved with the MAVs and like

561
00:29:14,640 --> 00:29:18,920
Speaker 1: the sort of larger trajectory of Texas. More broadly too,

562
00:29:19,240 --> 00:29:21,920
Speaker 1: when you talk to people, you know, like the whole

563
00:29:22,040 --> 00:29:25,720
Speaker 1: argument for Trump and more generally the Republican Party is

564
00:29:25,760 --> 00:29:29,600
Speaker 1: this idea that Republicans are very good for business. So

565
00:29:29,720 --> 00:29:31,480
Speaker 1: when you sit down and you say, well, you know,

566
00:29:32,000 --> 00:29:36,480
Speaker 1: these sort of more broad tax cuts actually don't necessarily

567
00:29:36,520 --> 00:29:39,440
Speaker 1: help the economy, and you know, stuff like this sort

568
00:29:39,480 --> 00:29:41,479
Speaker 1: of go through it. This is a question I have

569
00:29:41,560 --> 00:29:44,120
Speaker 1: to ask as like someone who grew up liberal, do

570
00:29:44,200 --> 00:29:47,640
Speaker 1: they ever go oh, yeah, wait a second, you're right, yeah,

571
00:29:47,680 --> 00:29:48,400
Speaker 1: of course no.

572
00:29:48,600 --> 00:29:50,800
Speaker 4: Look, people look at politics in the state of Texas

573
00:29:50,800 --> 00:29:53,440
Speaker 4: and go these people are crazy. But on the flip side,

574
00:29:53,600 --> 00:29:55,160
Speaker 4: they get out of the way and let business do

575
00:29:55,200 --> 00:29:59,480
Speaker 4: their thing. Now there's a downside that people understand as well. One,

576
00:29:59,760 --> 00:30:01,840
Speaker 4: you know, well there's no income tax, but there's a

577
00:30:01,920 --> 00:30:06,520
Speaker 4: huge property tax. And two there are casualties. There's collateral

578
00:30:06,600 --> 00:30:10,000
Speaker 4: damage with kids and lack of daycare and lack of

579
00:30:10,280 --> 00:30:13,160
Speaker 4: you know, lack of healthcare in many respects, and so

580
00:30:13,240 --> 00:30:17,360
Speaker 4: they understand there's collateral damage. But it's hard to really

581
00:30:17,840 --> 00:30:20,840
Speaker 4: come up with an equilibrium for people of Texas, right

582
00:30:20,840 --> 00:30:23,440
Speaker 4: that they don't look at it that way. It's just

583
00:30:23,480 --> 00:30:25,440
Speaker 4: like the state of Texas gets out of the way.

584
00:30:25,880 --> 00:30:28,400
Speaker 4: I ignore the politics of it all. Just let me

585
00:30:28,480 --> 00:30:31,120
Speaker 4: do my thing. And for most people, that's their life,

586
00:30:31,160 --> 00:30:33,320
Speaker 4: and that's okay. They're not going to be you know,

587
00:30:33,480 --> 00:30:35,600
Speaker 4: people don't want to be deep thinkers about their life.

588
00:30:35,640 --> 00:30:37,200
Speaker 4: They just want to live their lives. And if you're

589
00:30:37,200 --> 00:30:39,960
Speaker 4: in business, Texas is actually is a good state because

590
00:30:40,000 --> 00:30:42,000
Speaker 4: they do get out of the way. But you know,

591
00:30:42,160 --> 00:30:44,480
Speaker 4: I think most people here that I talk to, they

592
00:30:44,480 --> 00:30:48,400
Speaker 4: don't we just dismissed our politicians in this state is crazy, right.

593
00:30:48,560 --> 00:30:51,520
Speaker 1: The problem I think with this sort of modern trump

594
00:30:51,680 --> 00:30:55,680
Speaker 1: Ism is that some elements right, our hands off, but

595
00:30:55,880 --> 00:31:00,280
Speaker 1: things like for example, the abortion ban and it's case

596
00:31:00,320 --> 00:31:04,240
Speaker 1: against metha pristone and their you know, the abortion pills

597
00:31:04,240 --> 00:31:08,000
Speaker 1: and the birth control pills. That's actual like major federal

598
00:31:08,040 --> 00:31:09,520
Speaker 1: intervention at the state level.

599
00:31:09,640 --> 00:31:12,040
Speaker 4: Yeah, of course, but I mean state versus federal two

600
00:31:12,120 --> 00:31:14,320
Speaker 4: different conversations here in the state of texts. You know,

601
00:31:14,480 --> 00:31:17,400
Speaker 4: It's not like people look at Peceessions or Ted Cruise

602
00:31:17,440 --> 00:31:20,360
Speaker 4: and go, Okay, they're doing a great job representing us

603
00:31:20,400 --> 00:31:23,040
Speaker 4: and represent us in Congress. They don't look at that

604
00:31:23,160 --> 00:31:25,360
Speaker 4: at all. It's just like that's why you hear, you know,

605
00:31:25,440 --> 00:31:29,520
Speaker 4: talks of secession. You know. And so when Donald Trump

606
00:31:29,600 --> 00:31:34,760
Speaker 4: starts talking about healthcare and abortion and medications, he just

607
00:31:34,800 --> 00:31:37,800
Speaker 4: goes along with the flow. I don't think really cares

608
00:31:37,840 --> 00:31:40,440
Speaker 4: one way or the other what happens there. He just

609
00:31:40,480 --> 00:31:44,600
Speaker 4: wants to know. Look, he's a salesperson just selling himself,

610
00:31:44,960 --> 00:31:48,040
Speaker 4: and the currency he wants is both, and he will

611
00:31:48,040 --> 00:31:51,480
Speaker 4: say whatever it takes, which is what led to is

612
00:31:51,560 --> 00:31:54,320
Speaker 4: kind of turn around on choice right, on women's right

613
00:31:54,400 --> 00:31:57,840
Speaker 4: to your own reproductive health. He doesn't care. And when

614
00:31:57,880 --> 00:31:59,840
Speaker 4: you don't really care it and you only have one

615
00:31:59,880 --> 00:32:02,600
Speaker 4: of objective, and that is to get boats, you'll say anything,

616
00:32:02,920 --> 00:32:05,360
Speaker 4: and you'll flop in the wind no matter what. And

617
00:32:06,000 --> 00:32:08,040
Speaker 4: it's not that it's bad to change your mind, but

618
00:32:08,520 --> 00:32:10,240
Speaker 4: if you're going to change your mind, have at least

619
00:32:10,280 --> 00:32:13,400
Speaker 4: a reason that you're doing it rather than just panderings

620
00:32:13,440 --> 00:32:15,400
Speaker 4: or boats. And I don't think Donald cares what the

621
00:32:15,440 --> 00:32:18,400
Speaker 4: reason is. He's just going by the polls and what works.

622
00:32:18,680 --> 00:32:23,920
Speaker 1: Elon wants to start a government efficiency agency, which is

623
00:32:24,000 --> 00:32:28,320
Speaker 1: again a government efficiency in itself is the dream.

624
00:32:28,320 --> 00:32:29,160
Speaker 2: Of all of us.

625
00:32:29,240 --> 00:32:32,200
Speaker 1: Right, you like the federal government, you hate the federal government,

626
00:32:32,240 --> 00:32:35,200
Speaker 1: You want it to be efficient. From the reporting about

627
00:32:35,320 --> 00:32:39,360
Speaker 1: Elon's fights with different regulatory agencies, it doesn't seem like

628
00:32:39,680 --> 00:32:41,880
Speaker 1: his motivation is fully philanthropic.

629
00:32:42,320 --> 00:32:44,200
Speaker 4: No. I don't think he thinks it's stilanthropic at all.

630
00:32:44,240 --> 00:32:46,600
Speaker 4: I don't think Edy Button does. I think everybody realized

631
00:32:46,640 --> 00:32:49,440
Speaker 4: it's self serving, but it's in tune with what Donald

632
00:32:49,480 --> 00:32:53,120
Speaker 4: Trump needs. Elon realizes that in order for him to

633
00:32:53,160 --> 00:32:55,480
Speaker 4: be effective, he's got to play to his strengths and

634
00:32:55,520 --> 00:32:58,280
Speaker 4: what he sells. And Trump realizes in order for Elon

635
00:32:58,400 --> 00:33:01,200
Speaker 4: to help him, he's got to use Elon's grant and

636
00:33:01,280 --> 00:33:04,560
Speaker 4: what Trump sell. This is all salesmanship. But with Elon,

637
00:33:04,880 --> 00:33:07,520
Speaker 4: you know, he's not talking about conflicts of interest. He's

638
00:33:07,520 --> 00:33:10,960
Speaker 4: not talking about subsidies from the government, you know, and saying, well,

639
00:33:11,040 --> 00:33:13,160
Speaker 4: you know, I realize I benefit, so that's going to

640
00:33:13,200 --> 00:33:15,480
Speaker 4: be I know that those programs, so those are going

641
00:33:15,560 --> 00:33:17,480
Speaker 4: to be the first things I got. He doesn't give

642
00:33:17,520 --> 00:33:21,200
Speaker 4: any specifics whatsoever. He's just an industry plan, if you will,

643
00:33:21,480 --> 00:33:24,080
Speaker 4: just for Donald Trump to talk about because it sounds good.

644
00:33:24,360 --> 00:33:27,160
Speaker 1: What do you think the game is with Elon? What

645
00:33:27,200 --> 00:33:30,000
Speaker 1: do you think the ultimate goal here is what's run NASA?

646
00:33:30,160 --> 00:33:32,240
Speaker 4: He wants to go to Mars. If Mark Cuba's ultimate

647
00:33:32,280 --> 00:33:35,920
Speaker 4: goal was to put people on Mars, then what's better

648
00:33:35,960 --> 00:33:36,760
Speaker 4: than running NASA?

649
00:33:36,880 --> 00:33:40,960
Speaker 1: But don't you think it's also AI trying to control AI,

650
00:33:41,160 --> 00:33:45,040
Speaker 1: try and stop government regulation of his many industries.

651
00:33:45,280 --> 00:33:47,920
Speaker 4: Oh, you can't. He already knows you can't stop you

652
00:33:47,960 --> 00:33:48,640
Speaker 4: can't stop.

653
00:33:48,440 --> 00:33:51,880
Speaker 1: AI, right, but I mean can sort of have an

654
00:33:51,960 --> 00:33:53,560
Speaker 1: upper hand when it comes to AI.

655
00:33:54,160 --> 00:33:56,680
Speaker 4: No, you can't control it, you can't regulate it. Some

656
00:33:56,800 --> 00:33:59,040
Speaker 4: kid is going to have access and do something crazy

657
00:33:59,080 --> 00:34:01,680
Speaker 4: that we didn't expect, and that's going to change everything,

658
00:34:01,840 --> 00:34:04,200
Speaker 4: you know. And so I don't think he's worried about

659
00:34:04,200 --> 00:34:06,760
Speaker 4: government regulation of AI at all because he knows that

660
00:34:06,800 --> 00:34:09,479
Speaker 4: there's nothing they do, There's nothing you know, you can put.

661
00:34:09,640 --> 00:34:12,319
Speaker 4: You know, you can put guardrails on it and hope

662
00:34:12,360 --> 00:34:14,960
Speaker 4: they were, but they won't. And then somebody's just going

663
00:34:15,040 --> 00:34:17,600
Speaker 4: to move to the Caymans or something and just have

664
00:34:17,680 --> 00:34:19,839
Speaker 4: access to a you know, put a cloud up there

665
00:34:19,880 --> 00:34:22,719
Speaker 4: with some Nvidia chips that do it down there. Part

666
00:34:22,719 --> 00:34:25,120
Speaker 4: two to that is, you know, the way you build

667
00:34:25,160 --> 00:34:27,680
Speaker 4: models in AI is getting more and more cost efficient

668
00:34:28,040 --> 00:34:31,160
Speaker 4: over time and more powerful over time, so it won't

669
00:34:31,200 --> 00:34:33,319
Speaker 4: cost as much to do the same amount of work.

670
00:34:33,360 --> 00:34:36,600
Speaker 4: So I don't think it's this fear of regulation of

671
00:34:36,640 --> 00:34:40,040
Speaker 4: AI at all, because he knows that's almost impossible.

672
00:34:39,560 --> 00:34:42,920
Speaker 1: And the government has been terrible at regulation, like they

673
00:34:42,920 --> 00:34:46,719
Speaker 1: haven't even regulated Facebook, So why they would regulate AIS mystery?

674
00:34:46,920 --> 00:34:48,920
Speaker 4: Yeah, No, I mean, and look, you know, the ultimate

675
00:34:48,960 --> 00:34:51,759
Speaker 4: imperative for the United States of America is to win

676
00:34:51,800 --> 00:34:54,400
Speaker 4: the AI race with every other nation. We have to

677
00:34:54,400 --> 00:34:57,399
Speaker 4: win it because whoever wins in AI, and right now

678
00:34:57,440 --> 00:35:00,360
Speaker 4: we're the leader by a long shot. Whoever win in

679
00:35:00,440 --> 00:35:06,880
Speaker 4: AI dominates the economy, dominates, technology, dominates the future, dominates military.

680
00:35:07,120 --> 00:35:09,440
Speaker 4: It's not a zero sum game, but it's pretty damn close.

681
00:35:09,880 --> 00:35:12,880
Speaker 1: So you and I have literally had conversations about AI

682
00:35:12,960 --> 00:35:16,520
Speaker 1: where I don't I just can't understand what you're talking about,

683
00:35:16,520 --> 00:35:20,279
Speaker 1: but I appreciate that I don't understand it and know

684
00:35:20,560 --> 00:35:22,440
Speaker 1: that it's enormous and coming.

685
00:35:22,920 --> 00:35:23,760
Speaker 2: So you've been.

686
00:35:23,760 --> 00:35:29,080
Speaker 1: Out on the road really interesting talking to different groups.

687
00:35:29,440 --> 00:35:34,120
Speaker 1: You did this amazing town hall with Latino men. Can

688
00:35:34,160 --> 00:35:36,839
Speaker 1: you talk about that and what it was like and

689
00:35:36,880 --> 00:35:40,600
Speaker 1: sort of did you feel that you were communicating well?

690
00:35:40,640 --> 00:35:42,120
Speaker 2: And just tell us about that.

691
00:35:42,480 --> 00:35:45,600
Speaker 4: I went to Phoenix and did a group there of

692
00:35:45,719 --> 00:35:49,200
Speaker 4: Latino men, and always it was a bunch of primarily

693
00:35:49,280 --> 00:35:53,600
Speaker 4: Latino but also black business people who were mostly small business.

694
00:35:53,719 --> 00:35:57,080
Speaker 4: Are all small business, and I just talked about why

695
00:35:57,320 --> 00:36:00,279
Speaker 4: kam La Harris is better for business. One. You know,

696
00:36:00,440 --> 00:36:03,640
Speaker 4: there's thirty three million businesses in this company. Ninety nine

697
00:36:03,719 --> 00:36:06,560
Speaker 4: percent of them are small business. Ninety nine percent of

698
00:36:06,600 --> 00:36:09,880
Speaker 4: the entrepreneurs that started those businesses will run those businesses.

699
00:36:10,080 --> 00:36:12,719
Speaker 4: Use something called pass through you know, they're passed through

700
00:36:12,800 --> 00:36:15,680
Speaker 4: company their sole proprietorship sub chapter. Well, you know with

701
00:36:15,719 --> 00:36:18,920
Speaker 4: your businesses right right, I have one. Yeah. So because

702
00:36:18,920 --> 00:36:22,120
Speaker 4: of that, they when Kamala says, if you make four

703
00:36:22,200 --> 00:36:25,480
Speaker 4: hundred thousand dollars or less, your taxes are not going up.

704
00:36:25,560 --> 00:36:27,359
Speaker 4: And for one hundred million people in this country, your

705
00:36:27,360 --> 00:36:30,040
Speaker 4: taxes are going down. And that applied to all of them,

706
00:36:30,080 --> 00:36:32,800
Speaker 4: you know, because people get kind of confused when Trump

707
00:36:32,800 --> 00:36:36,160
Speaker 4: talks about cutting corporate taxes, that's for sea corps. Those

708
00:36:36,160 --> 00:36:38,600
Speaker 4: are there's only twenty thousand companies with five hundred or

709
00:36:38,600 --> 00:36:41,680
Speaker 4: more employees. That's who he's talking to. For everybody else

710
00:36:41,680 --> 00:36:45,000
Speaker 4: that was in that room who was certain, it was like, no,

711
00:36:45,400 --> 00:36:47,759
Speaker 4: you're you're going to be okay. Your taxes are will

712
00:36:47,760 --> 00:36:49,920
Speaker 4: only go down, they won't go up. And that was

713
00:36:49,960 --> 00:36:52,760
Speaker 4: one thing that was important. The second thing that was inflation.

714
00:36:53,000 --> 00:36:55,120
Speaker 4: And you know, you have to get past the point

715
00:36:55,120 --> 00:36:58,000
Speaker 4: where he says, look the twenty percent increasing in prices

716
00:36:58,040 --> 00:36:59,799
Speaker 4: over the last four years. I might even go in

717
00:37:00,160 --> 00:37:02,560
Speaker 4: cause that we can talk about that for days, but

718
00:37:02,640 --> 00:37:05,520
Speaker 4: we are where we are. The question becomes, you know,

719
00:37:05,640 --> 00:37:08,160
Speaker 4: what do you do to offset those costs? And that's

720
00:37:08,200 --> 00:37:11,400
Speaker 4: where I started talking about healthcare because as small businesses,

721
00:37:11,640 --> 00:37:14,960
Speaker 4: healthcare is terrifying. On one hand, they can't just go

722
00:37:15,000 --> 00:37:17,719
Speaker 4: out there and get a great policy with a low deductible.

723
00:37:18,040 --> 00:37:20,600
Speaker 4: So not only did they as a company have a

724
00:37:20,680 --> 00:37:25,200
Speaker 4: high deductible we're applicable, but their employees have super high deductibles.

725
00:37:25,320 --> 00:37:27,920
Speaker 4: And I explained to them that Kamala Harris has already

726
00:37:27,960 --> 00:37:34,080
Speaker 4: talked about removing or tamping down the pharmacy middleman called

727
00:37:34,120 --> 00:37:38,480
Speaker 4: pharmacy benefit managers, and you know, making that whole pharmaceutical

728
00:37:38,520 --> 00:37:42,280
Speaker 4: industry transparent and from my experiences with costpos Drugs dot Com.

729
00:37:42,600 --> 00:37:44,480
Speaker 4: Then you know, I tell them that's going to cut

730
00:37:44,520 --> 00:37:46,719
Speaker 4: your cost out of pocket for you and your employees

731
00:37:46,960 --> 00:37:49,440
Speaker 4: by twenty to thirty percent, and we'll extend that the

732
00:37:49,520 --> 00:37:52,520
Speaker 4: healthcare over time, and that'll include that'll cut your other

733
00:37:52,600 --> 00:37:55,600
Speaker 4: healthcare costs down by twenty or thirty percent. And then

734
00:37:55,600 --> 00:37:57,640
Speaker 4: I asked them the question how much would that help?

735
00:37:57,760 --> 00:38:00,719
Speaker 4: Oh yeah, that more than compensates for inflation. Oh yeah,

736
00:38:00,800 --> 00:38:03,399
Speaker 4: you know, because they know as small businesses that when

737
00:38:03,480 --> 00:38:07,120
Speaker 4: your employee is sick and they can't afford their deductible

738
00:38:07,360 --> 00:38:10,480
Speaker 4: because the cost of medication is too high, then they

739
00:38:10,480 --> 00:38:12,319
Speaker 4: don't come to work. And if they don't come to work,

740
00:38:12,360 --> 00:38:15,040
Speaker 4: then there's just a cascading list of problems. And so

741
00:38:15,120 --> 00:38:18,080
Speaker 4: I just through the whole idea that healthcare is that

742
00:38:18,200 --> 00:38:21,840
Speaker 4: offset to inflation that everybody's asking about. And Donald Trump

743
00:38:21,840 --> 00:38:23,960
Speaker 4: only knows concepts. He doesn't know healthcare at all.

744
00:38:24,080 --> 00:38:25,680
Speaker 2: He has concepts of a plan.

745
00:38:25,640 --> 00:38:29,239
Speaker 4: Concepts of a plan. Yeah. Then I talked about deportation,

746
00:38:29,600 --> 00:38:32,760
Speaker 4: not about immigration, because you know real Briefly, I said, look,

747
00:38:33,040 --> 00:38:35,920
Speaker 4: I disagree with a lot of the way the administration

748
00:38:36,000 --> 00:38:39,359
Speaker 4: handled immigration. But we are where we are and now

749
00:38:39,440 --> 00:38:42,640
Speaker 4: with the executive order, the numbers are, you know, comparable,

750
00:38:42,640 --> 00:38:44,919
Speaker 4: if not lower than when Trump was in office. Both

751
00:38:44,960 --> 00:38:47,520
Speaker 4: candidates have said that they're going to deport any non

752
00:38:47,560 --> 00:38:51,319
Speaker 4: citizens that have broken the law and violated the law,

753
00:38:51,600 --> 00:38:53,360
Speaker 4: So they're both on equal footing there. But then the

754
00:38:53,440 --> 00:38:57,080
Speaker 4: question becomes what comes next? What happens with deportation? If

755
00:38:57,120 --> 00:38:59,600
Speaker 4: you want a restaurant, what happens now? You know, as

756
00:38:59,640 --> 00:39:01,800
Speaker 4: an employ lawyer, with your I nines, you have to

757
00:39:01,840 --> 00:39:04,239
Speaker 4: say whether somebody is an American citizen, whether they have

758
00:39:04,280 --> 00:39:07,120
Speaker 4: their papers, et cetera, et cetera. But still, what happens

759
00:39:07,160 --> 00:39:09,319
Speaker 4: if Stephen Miller's in charge and all of a sudden

760
00:39:09,360 --> 00:39:12,880
Speaker 4: they're knocking on your doors saying, okay, give me the names, address,

761
00:39:12,880 --> 00:39:15,479
Speaker 4: social Security number, and immigration status for everybody that works

762
00:39:15,480 --> 00:39:16,919
Speaker 4: for you, and we're going to go visit their house

763
00:39:17,040 --> 00:39:19,000
Speaker 4: because we want to know if Brampa is legal ing

764
00:39:19,080 --> 00:39:21,480
Speaker 4: on what happened to your community. Those people are not

765
00:39:21,520 --> 00:39:23,360
Speaker 4: going to be able to come to work. Those people

766
00:39:23,360 --> 00:39:25,360
Speaker 4: that you know, you have worked with for years and

767
00:39:25,480 --> 00:39:28,040
Speaker 4: years and your years that bust their ass, Now all

768
00:39:28,120 --> 00:39:30,439
Speaker 4: of a sudden they're getting dragged out, you know, Elli

769
00:39:30,520 --> 00:39:34,040
Speaker 4: and Gonzales Stock, is that what you want? And just

770
00:39:34,040 --> 00:39:36,160
Speaker 4: see their eyes open up because they hadn't thought about

771
00:39:36,200 --> 00:39:40,439
Speaker 4: it that way that every diverse workforce. Know, somebody who

772
00:39:40,800 --> 00:39:42,840
Speaker 4: you know, whether it's re said, you know, over the

773
00:39:42,920 --> 00:39:45,319
Speaker 4: last ten years or over the last forty years, you know,

774
00:39:45,440 --> 00:39:48,320
Speaker 4: may not have their citizens uh cistenship chat their immigration

775
00:39:48,400 --> 00:39:51,480
Speaker 4: status completely worked out. And I think you know, Donald

776
00:39:51,480 --> 00:39:54,160
Speaker 4: Trump could be knocking on their doors, just dragging them out,

777
00:39:54,200 --> 00:39:56,239
Speaker 4: putting them on the bus and shipping them somewhere, or

778
00:39:56,280 --> 00:39:58,560
Speaker 4: putting them in a camp. Kamala Harris is going to

779
00:39:58,600 --> 00:40:02,640
Speaker 4: have a very transparent process. You might not like everything

780
00:40:02,680 --> 00:40:04,799
Speaker 4: that she says she's going to do. She may be

781
00:40:04,920 --> 00:40:07,279
Speaker 4: struck stricter than you would like, but you're going to

782
00:40:07,360 --> 00:40:11,160
Speaker 4: know exactly what's involved to either change or deal with

783
00:40:11,200 --> 00:40:13,839
Speaker 4: your immigration status. And she's not going to come and

784
00:40:13,880 --> 00:40:16,600
Speaker 4: just close your business down by dragging people out. She's

785
00:40:16,600 --> 00:40:18,919
Speaker 4: going to have, you know, a process in place, which

786
00:40:18,960 --> 00:40:19,640
Speaker 4: would you prefer.

787
00:40:20,160 --> 00:40:23,960
Speaker 1: What Trump is advertising here is mass deportation camps like

788
00:40:24,120 --> 00:40:25,920
Speaker 1: what happened to the Japanese.

789
00:40:26,080 --> 00:40:27,880
Speaker 4: They were terrified, but they don't really look at if

790
00:40:27,880 --> 00:40:30,680
Speaker 4: people hadn't really looked at it as a business issue.

791
00:40:30,800 --> 00:40:33,160
Speaker 4: They looked at it as a social issue. And the

792
00:40:33,200 --> 00:40:35,000
Speaker 4: people if you run a company, if you were in

793
00:40:35,000 --> 00:40:38,000
Speaker 4: a small business you have a diverse workforce. You understand

794
00:40:38,040 --> 00:40:41,239
Speaker 4: completely because you have to file these I nines and

795
00:40:41,360 --> 00:40:44,239
Speaker 4: using Verify and all these different tools to determine their

796
00:40:44,280 --> 00:40:46,879
Speaker 4: immigration status. And if you've worked with somebody long enough,

797
00:40:47,000 --> 00:40:49,000
Speaker 4: you get to know about their family and if your

798
00:40:49,040 --> 00:40:51,200
Speaker 4: employee may be as legal as the day is long

799
00:40:51,520 --> 00:40:53,880
Speaker 4: and have all the right paperwork. But if grandma does it,

800
00:40:53,880 --> 00:40:57,040
Speaker 4: Grandma goes home to the old country, and you don't

801
00:40:57,080 --> 00:40:59,640
Speaker 4: want grandma being dragged out. And then you know, there's

802
00:40:59,680 --> 00:41:02,759
Speaker 4: the sol issues of you know, if a community has

803
00:41:02,840 --> 00:41:05,319
Speaker 4: you know, one hundred grand has tracked out using them

804
00:41:05,360 --> 00:41:07,920
Speaker 4: as an example, that community is not going to be happy.

805
00:41:07,960 --> 00:41:09,360
Speaker 4: I dude knows how they'll respond.

806
00:41:09,719 --> 00:41:13,279
Speaker 1: Yeah, exactly, you're talking to people on the ground. Do

807
00:41:13,320 --> 00:41:15,680
Speaker 1: you think that Harris is able to make the case.

808
00:41:15,760 --> 00:41:18,840
Speaker 1: Do you think that she's attracting these sort of the

809
00:41:18,920 --> 00:41:21,360
Speaker 1: voters she needs to get over the finish line?

810
00:41:21,440 --> 00:41:24,000
Speaker 4: You know, honestly, just to be brutally honest, I think

811
00:41:24,120 --> 00:41:26,759
Speaker 4: Joe Biden first was the worst salesperson I've ever seen.

812
00:41:27,120 --> 00:41:29,520
Speaker 4: He tried, but he didn't know how to sell. Kalma's

813
00:41:29,520 --> 00:41:32,360
Speaker 4: not a great salesperson, She's not. She's great at policy,

814
00:41:32,440 --> 00:41:36,040
Speaker 4: she's got GRADYQ, she can communicate with people. What she

815
00:41:36,120 --> 00:41:39,040
Speaker 4: does in rallies is phenomenal, and so that's why I

816
00:41:39,080 --> 00:41:41,040
Speaker 4: think she's just going place to place to place and

817
00:41:41,200 --> 00:41:43,600
Speaker 4: doing rallies. When I've sat down and talked to her

818
00:41:43,640 --> 00:41:48,400
Speaker 4: about business, she's great. She understands, he understands technology. She

819
00:41:48,520 --> 00:41:53,120
Speaker 4: understands the importance of cutting the deficit and using technology

820
00:41:53,160 --> 00:41:56,000
Speaker 4: to approve efficiencies. She knows that she's not at geek,

821
00:41:56,040 --> 00:41:59,560
Speaker 4: but she understands it, and so her getting out there

822
00:41:59,680 --> 00:42:02,480
Speaker 4: where whever she has touch points is always important. But

823
00:42:02,560 --> 00:42:04,680
Speaker 4: she always also knows what she doesn't know, what she's

824
00:42:04,719 --> 00:42:06,439
Speaker 4: not good at, which is why I'm out there, which

825
00:42:06,440 --> 00:42:08,640
Speaker 4: is why Scaramucci is is out there, which is why

826
00:42:08,760 --> 00:42:11,160
Speaker 4: you know Bacari Seller's. So many people are out there

827
00:42:11,160 --> 00:42:15,360
Speaker 4: as surrogates, and I think that really helps. The first gentleman,

828
00:42:15,400 --> 00:42:17,640
Speaker 4: Doug I did in an event with him in Grand Rapids,

829
00:42:18,040 --> 00:42:21,240
Speaker 4: which also had a lot of small businesses but mostly

830
00:42:21,560 --> 00:42:26,000
Speaker 4: black businesses. But he was great too, he's a great surrogate.

831
00:42:26,080 --> 00:42:28,680
Speaker 4: He talks business, he understands business, He's been there, done that,

832
00:42:29,080 --> 00:42:31,600
Speaker 4: and people. He's a great speaker too, so people understand.

833
00:42:31,840 --> 00:42:34,759
Speaker 4: So I definitely feel that there's a great path there.

834
00:42:35,239 --> 00:42:37,920
Speaker 4: I would like to see us, you know, sell better.

835
00:42:38,320 --> 00:42:41,520
Speaker 4: But I also think that's why he's given me basically,

836
00:42:41,840 --> 00:42:43,600
Speaker 4: you know, said just go be you mark, you know,

837
00:42:43,640 --> 00:42:45,680
Speaker 4: go do what you do, be out there talking. You

838
00:42:45,760 --> 00:42:48,520
Speaker 4: understand what I'm trying to accomplish. You understand are you

839
00:42:48,560 --> 00:42:51,800
Speaker 4: know our based realities and the qualities that are important

840
00:42:51,840 --> 00:42:54,480
Speaker 4: to me. And I'm like yes, And so that's you know,

841
00:42:54,520 --> 00:42:56,520
Speaker 4: They're telling me to go out there and I'm talking

842
00:42:56,560 --> 00:42:58,600
Speaker 4: to as many people as I can. But all that

843
00:42:58,680 --> 00:43:01,320
Speaker 4: creates a network effect. It's not just one thing that

844
00:43:01,840 --> 00:43:04,520
Speaker 4: comlict can do or Doug can do. There has to

845
00:43:04,520 --> 00:43:06,839
Speaker 4: be a network effect. And then the other thing is

846
00:43:06,880 --> 00:43:08,719
Speaker 4: like when I was in Grand Rapids the other day

847
00:43:08,920 --> 00:43:11,800
Speaker 4: and I was talking to business people, I tried to

848
00:43:11,840 --> 00:43:15,799
Speaker 4: make them understand that voting and getting people to vote

849
00:43:15,840 --> 00:43:18,560
Speaker 4: and getting them actually to register and getting to the

850
00:43:18,600 --> 00:43:21,000
Speaker 4: polls is one of the best things you can do

851
00:43:21,080 --> 00:43:24,000
Speaker 4: to help yourself make more money because you know that

852
00:43:24,200 --> 00:43:27,520
Speaker 4: startup fifty thousand dollars credit if you're getting ready, you know,

853
00:43:27,600 --> 00:43:29,880
Speaker 4: because all those people are going to have passed through

854
00:43:30,120 --> 00:43:33,560
Speaker 4: tax situations sub chapteristic, et cetera. Like we discussed. That's

855
00:43:33,680 --> 00:43:35,839
Speaker 4: like money in the bank up to fifty K that

856
00:43:35,880 --> 00:43:38,040
Speaker 4: goes against your other income and that's going to increase

857
00:43:38,040 --> 00:43:40,640
Speaker 4: your refund and that's going to help you fund your business.

858
00:43:40,760 --> 00:43:43,480
Speaker 4: The child tax credits, all those things, those are things

859
00:43:43,520 --> 00:43:45,920
Speaker 4: that are money in the bank. The healthcare, those are

860
00:43:46,000 --> 00:43:48,960
Speaker 4: things you need. So by going out there and getting

861
00:43:49,000 --> 00:43:51,400
Speaker 4: your friends and getting people you work with and people

862
00:43:51,440 --> 00:43:55,200
Speaker 4: in your network to realize that voting is important, that

863
00:43:55,440 --> 00:43:58,040
Speaker 4: is probably the best thing you can do for your business.

864
00:43:58,080 --> 00:43:59,880
Speaker 4: And that was the message that I was giving a

865
00:44:00,120 --> 00:44:02,600
Speaker 4: lot of these entrepreneurs one on one. And then you

866
00:44:02,600 --> 00:44:04,239
Speaker 4: can see the light go on, you know, because I've

867
00:44:04,239 --> 00:44:05,719
Speaker 4: done so many of these. You can see the light

868
00:44:05,760 --> 00:44:08,160
Speaker 4: go on when I say something that they hadn't you know,

869
00:44:08,239 --> 00:44:09,640
Speaker 4: put those two pieces together.

870
00:44:10,120 --> 00:44:13,040
Speaker 1: Yeah, you told me that you were at an event

871
00:44:13,120 --> 00:44:15,839
Speaker 1: and Fox News was setting up and you went over

872
00:44:16,040 --> 00:44:19,719
Speaker 1: and just did Fox News. And I think you're brilliant,

873
00:44:19,960 --> 00:44:22,040
Speaker 1: Sarah good and able to go on Fox News. Can

874
00:44:22,040 --> 00:44:25,200
Speaker 1: you explain to our listeners. Why going on Fox News

875
00:44:25,320 --> 00:44:25,880
Speaker 1: is important.

876
00:44:26,280 --> 00:44:28,640
Speaker 4: Yeah, because I don't need to convert people that are

877
00:44:28,640 --> 00:44:30,960
Speaker 4: already converted. I need to talk to people who are

878
00:44:31,000 --> 00:44:35,160
Speaker 4: either undecided or maybe you know, hardcore Trump. But I'll say,

879
00:44:35,200 --> 00:44:37,560
Speaker 4: all it takes is one little thing that triggers somebody

880
00:44:37,640 --> 00:44:40,799
Speaker 4: to say, oh my goodness, maybe I hadn't thought that through.

881
00:44:41,000 --> 00:44:42,880
Speaker 4: That's why, you know, he talked a lot about tariffs

882
00:44:42,880 --> 00:44:45,120
Speaker 4: and the impact on small business. That's why I called

883
00:44:45,160 --> 00:44:48,400
Speaker 4: Donald Trump the grinch that is stealing your Christmas because

884
00:44:48,440 --> 00:44:51,680
Speaker 4: people aren't extending. They think Trump's and they think tariffs,

885
00:44:51,880 --> 00:44:53,680
Speaker 4: and they think, you know, that's the tax of four

886
00:44:53,680 --> 00:44:57,080
Speaker 4: thousand dollars tax, and that's true. But then you really

887
00:44:57,080 --> 00:44:59,120
Speaker 4: have to take it further. You have to ask the

888
00:44:59,200 --> 00:45:02,000
Speaker 4: question this next year, if Donald Trump is president and

889
00:45:02,040 --> 00:45:05,080
Speaker 4: he's put on sixty percent tariffs on Chinese goods, do

890
00:45:05,160 --> 00:45:09,040
Speaker 4: you realize that we import so so much of what

891
00:45:09,080 --> 00:45:12,279
Speaker 4: we buy is imported from China? Your books, you know,

892
00:45:12,320 --> 00:45:15,640
Speaker 4: your sporting goods, on your backpacks. The list just goes

893
00:45:15,680 --> 00:45:17,680
Speaker 4: on and on and on. So this time next year,

894
00:45:18,120 --> 00:45:20,399
Speaker 4: if he's put on those tariffs and you're thinking about

895
00:45:20,480 --> 00:45:23,120
Speaker 4: Christmas presents to buy for your kids and your family

896
00:45:23,200 --> 00:45:25,680
Speaker 4: and friends. Those prices are going to be up, aren't they.

897
00:45:25,880 --> 00:45:28,239
Speaker 4: Yeah yeah yeah, So you're gonna have You're gonna have

898
00:45:28,280 --> 00:45:31,120
Speaker 4: to buy fewer Christmas presents, aren't you Yeah yeah yeah

899
00:45:31,200 --> 00:45:34,319
Speaker 4: yeah yeah. And when you buy fewer Christmas presents? Who else?

900
00:45:34,360 --> 00:45:37,120
Speaker 4: Does that affect? Every small business? The little dress shop

901
00:45:37,200 --> 00:45:39,719
Speaker 4: down the street, the little knickknack place where you bought

902
00:45:39,760 --> 00:45:42,640
Speaker 4: candles and cool stuff, the sporting goods store, will you

903
00:45:42,680 --> 00:45:45,239
Speaker 4: buy all the gear for your kids to play whatever

904
00:45:45,320 --> 00:45:48,200
Speaker 4: sports they play. Those businesses are going to get hurt

905
00:45:48,200 --> 00:45:49,960
Speaker 4: and a lot of them are going to go out

906
00:45:49,960 --> 00:45:53,799
Speaker 4: of this. And Donald Trump doesn't care, nor does he understand.

907
00:45:53,920 --> 00:45:57,520
Speaker 4: He doesn't understand tariffs and these aren't some esoteric things.

908
00:45:57,680 --> 00:46:00,960
Speaker 4: You have to understand that tariffs will m pack your family.

909
00:46:01,200 --> 00:46:03,640
Speaker 4: He is the grids trying to steal your Christmas.

910
00:46:03,760 --> 00:46:07,799
Speaker 2: Yeah, so interesting, Mark, thank you, thank you, thank you.

911
00:46:08,120 --> 00:46:10,319
Speaker 4: And it's not Molly always enjoy I keep on doing

912
00:46:10,320 --> 00:46:14,120
Speaker 4: what you do. No moment.

913
00:46:14,239 --> 00:46:17,600
Speaker 2: Oh fuckly Jesse Cannon.

914
00:46:17,719 --> 00:46:21,080
Speaker 3: Smile junk fast, one of the we just got done.

915
00:46:21,080 --> 00:46:25,240
Speaker 3: In the news segment talking about Trump to faving people,

916
00:46:25,480 --> 00:46:28,239
Speaker 3: you may recall that he said some very not nice

917
00:46:28,280 --> 00:46:30,920
Speaker 3: things and some disinformation about the FEMA workers down in

918
00:46:31,239 --> 00:46:34,319
Speaker 3: North Carolina after the hurricanes, and he was confronted about

919
00:46:34,320 --> 00:46:36,480
Speaker 3: that and I'm going to shock you what happens here.

920
00:46:36,760 --> 00:46:39,280
Speaker 5: And when the rest is charge to make the threats

921
00:46:39,400 --> 00:46:42,000
Speaker 5: gets FEMA workers on Saturdays.

922
00:46:41,480 --> 00:46:46,000
Speaker 4: Ago, DIEMA had a safety stand down. They could incredible threat.

923
00:46:46,520 --> 00:46:49,000
Speaker 4: Is it helping the recovering up to the North Carolina

924
00:46:49,120 --> 00:46:52,319
Speaker 4: complain to exclaimed that demas not doing the job well.

925
00:46:52,360 --> 00:46:53,839
Speaker 4: I think you have to let people.

926
00:46:53,560 --> 00:46:55,919
Speaker 6: Know how they're doing. If they were doing a great job,

927
00:46:56,000 --> 00:46:57,879
Speaker 6: I think we should say that too, because I think

928
00:46:57,920 --> 00:46:59,920
Speaker 6: they should be rewarded. But is they're not doing to

929
00:47:00,000 --> 00:47:02,600
Speaker 6: does that mean that if they're doing a poor job,

930
00:47:02,640 --> 00:47:04,920
Speaker 6: we're supposed to not say it. These people are entitled

931
00:47:04,960 --> 00:47:07,359
Speaker 6: to say it. And these are honest people behind us.

932
00:47:07,440 --> 00:47:09,520
Speaker 6: If FEMA were doing well, they would be saying they

933
00:47:09,520 --> 00:47:12,319
Speaker 6: did a good job. They're not for the most part,

934
00:47:12,480 --> 00:47:13,360
Speaker 6: political people.

935
00:47:13,520 --> 00:47:14,600
Speaker 2: For the most part, they're.

936
00:47:14,440 --> 00:47:15,440
Speaker 4: Not political people.

937
00:47:15,480 --> 00:47:20,200
Speaker 6: But you've obviously seen nothing but you know, very bad

938
00:47:20,239 --> 00:47:22,719
Speaker 6: statements coming out about the job that FEMA and this

939
00:47:22,840 --> 00:47:26,239
Speaker 6: administration has done having to do with this area at

940
00:47:26,280 --> 00:47:28,359
Speaker 6: North Carolina as a whole, and by the way, other

941
00:47:28,400 --> 00:47:30,520
Speaker 6: states also they're also complaining.

942
00:47:31,120 --> 00:47:40,240
Speaker 1: But look, it shouldn't surprise that Donald Trump is spreading

943
00:47:40,320 --> 00:47:44,360
Speaker 1: lies about FEMA when not cause playing a fry chef

944
00:47:44,600 --> 00:47:48,879
Speaker 1: at a McDonald's known for stiffing its workers and refusing

945
00:47:49,480 --> 00:47:54,839
Speaker 1: to say anything about raising the minimum wage. I'm not surprised,

946
00:47:54,920 --> 00:47:57,799
Speaker 1: and I think we'll definitely see more of this. Look,

947
00:47:57,960 --> 00:48:01,640
Speaker 1: you know, Donald Trump hates the federal government and wants

948
00:48:01,800 --> 00:48:05,520
Speaker 1: ultimately to you know, make it so small that he

949
00:48:05,600 --> 00:48:08,400
Speaker 1: could drown the federal government in a bathtub. And I

950
00:48:08,480 --> 00:48:11,279
Speaker 1: think that, you know, his war on FEMA is that.

951
00:48:11,760 --> 00:48:12,800
Speaker 2: But that's not.

952
00:48:12,719 --> 00:48:15,600
Speaker 1: Really what you want in an emergency situation. But it

953
00:48:15,719 --> 00:48:19,400
Speaker 1: definitely tracks to what we've seen in Trump world, and

954
00:48:19,840 --> 00:48:25,200
Speaker 1: that is highly That is a very very very moment

955
00:48:25,320 --> 00:48:26,400
Speaker 1: of fuckery moment.

956
00:48:27,440 --> 00:48:28,319
Speaker 2: That's it for.

957
00:48:28,360 --> 00:48:34,239
Speaker 1: This episode of Fast Politics. Tune in every Monday, Wednesday,

958
00:48:34,440 --> 00:48:38,920
Speaker 1: Thursday and Saturday to hear the best minds and politics

959
00:48:39,000 --> 00:48:43,279
Speaker 1: make sense of all this chaos. If you enjoy this podcast,

960
00:48:43,680 --> 00:48:47,080
Speaker 1: please send it to a friend and keep the conversation going.

961
00:48:47,560 --> 00:48:48,680
Speaker 2: Thanks for listening.