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Speaker 1: Hey, guys, ready or not, twenty twenty four is here

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Speaker 1: and we here at breaking points, are already thinking of

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Speaker 1: ways we can up our game for this critical election.

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Speaker 2: We rely on our premium subs to expand coverage, upgrade

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Speaker 2: the studio ad staff, give you, guys, the best independent coverage.

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Speaker 3: That is possible.

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Speaker 2: If you like what we're all about, it just means

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Speaker 2: the absolute world to have your support. But enough with that,

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Speaker 2: let's get to the show. Good morning, everybody, Happy Monday.

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

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Speaker 1: What do we have, Crystal, Indeed, we do last that

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Speaker 1: is breaking this morning. We've got Kamala Harris out on

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Speaker 1: a bit of a media tour sixty minutes call our

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Speaker 1: Daddy Pie. Yes, many people are saying, so we'll look

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Speaker 1: at some of the clips that have come out of that.

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Speaker 1: We also have Trump with a big rally returning to Butler, Pennsylvania,

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Speaker 1: this time with Elon Musk. So that was quite interesting,

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Speaker 1: huge crowd there to see the former president. We also

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Speaker 1: had some huge economic numbers that came out on Friday,

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Speaker 1: really big jobs report. We also have some other economic

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Speaker 1: news in terms of the port strike being averted or

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Speaker 1: being over so we'll get into all of that and

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Speaker 1: what that means for you, and also for the political situation.

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Speaker 1: What's going to happen in November. Today is the is

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Speaker 1: October seventh, so it's one year anniversary from October seventh.

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Speaker 1: We're going to take a look at, you know, a

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Speaker 1: year of war on Gaza and where things go from

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Speaker 1: here as best we can tell.

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Speaker 4: We're also, of.

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Speaker 1: Course still watching closely to see what Israel's response is

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Speaker 1: to Aron. So really that whole region continues to be

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Speaker 1: on edge in the face of Israeli provocations. And we've

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Speaker 1: got Gabriel Sherman joining us here. He's got a new

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Speaker 1: movie out. It's called The Apprentice, and it is sort

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Speaker 1: of like Donald Trump's origin story. So it'll be very

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Speaker 1: interesting to talk to him about that and like, because

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Speaker 1: this is I mean, at this point he's been Donald

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Speaker 1: Trump has been in the public sphere for literally decades.

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Speaker 1: My entire life, your entire life. It'll be interesting to

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Speaker 1: ask Gabe, like, what is new that we'll get out.

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Speaker 4: Of this movie?

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Speaker 2: I totally agree. Also, is like is the movie a

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Speaker 2: political hit job? Is it actually interesting? Like what is

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Speaker 2: the attempt game? Just for people know, he wrote one

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Speaker 2: of my favorite books, which is biography of Roger Ail's

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Speaker 2: called The Loudest Voice in the Room.

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Speaker 3: I highly recommend people watch it.

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Speaker 2: I believe he also participated in that Showtime series where

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Speaker 2: Russell Crowe played Roger Aile's highly worth watching that as well.

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Speaker 2: So yes, look, I understand he's liberal coded, but he's

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Speaker 2: a good writer, he's a good journalist, and I'm excited

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Speaker 2: to talk.

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Speaker 1: The reviews I've read of it say it's it avoids

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Speaker 1: that sort of just like you know, d are best

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Speaker 1: read dynamic, and really tries to get into the psyche

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Speaker 1: of like what you build this extraordinarily influential figure at America.

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Speaker 2: If you read Gabe Sherman's work, it's like very clear

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Speaker 2: where he's coming from, but he does a good job

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Speaker 2: of actually humanizing and bringing these people to life, where

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Speaker 2: if you are right wing, left wing or whatever, you'll

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Speaker 2: come away from it being like, oh, I kind of

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Speaker 2: understand how this person ticks a little bit more. Yeah, listen,

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Speaker 2: you know, he's an old man and people are relatively

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Speaker 2: said in their ways, and the origin story of that

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Speaker 2: is actually quite fascinating. So yeah, all long way of saying,

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Speaker 2: excited to talk to him. Before we get to that,

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Speaker 2: let's put this up there on the screen. We've got

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Speaker 2: our discount going on right now for the election. You

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Speaker 2: can go ahead and sign up BP twenty twenty four

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Speaker 2: the promo code for fifteen dollars off of our premium membership.

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Speaker 2: We've got exclusive election content. We've only got twenty nine

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Speaker 2: days left. Let's pike that next one up there. Twenty

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Speaker 2: nine days until the election, only four weeks. So in

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Speaker 2: the next four weeks, guys, we've got a lot of

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Speaker 2: stuff that will be exclusive to our premium subscribers. Crystallinize,

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Speaker 2: exclusive election predictions, our maps, et cetera. But more importantly

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Speaker 2: those partnership that we have going on with our race

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Speaker 2: to the White House Logan Phillips, who's got a great

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Speaker 2: projection of his own, his own model, and he's going

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Speaker 2: to give us some exclusive insights. So you guys get

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Speaker 2: the first access to that Breakingpoints dot com as well

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Speaker 2: as all of our ams.

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Speaker 3: Which will actually be shooting later today. So there you go.

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Speaker 3: You should sign up for this.

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Speaker 1: It's been such a weird election site, that's right. Absolutely,

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Speaker 1: the timing of it feels all wrong and weird, just

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Speaker 1: given the Biden dropout, the condensed timeline and no debates.

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Speaker 4: One debate.

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Speaker 2: Traditionally we're supposed to have more debates, like right around

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Speaker 2: now is when the I think the second or the

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Speaker 2: third would be there. We've also got a lot more

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Speaker 2: early voting this time around. It's a crazy life, it

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Speaker 2: really is, and there's a lot to say about it.

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Speaker 2: And with that, of course, we considering the crazy election.

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Speaker 2: This is also in some ways the podcast election. This

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Speaker 2: is the election where you have both candidates who are

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Speaker 2: very much making use of the new sphere of podcasts

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Speaker 2: and their reach. First and foremost was Kamala Harris, who

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Speaker 2: out of nowhere announced a media slew of appearances. First

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Speaker 2: and foremost is Call Her Daddy with Alex Cooper, where

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Speaker 2: the topic of abortion was predominant and really was the

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Speaker 2: one that they spent the most time on.

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Speaker 3: Let's take a listen to how that went for her.

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Speaker 5: Madam Vice President Alex welcome to call her Daddy.

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Speaker 4: It is good to be with you.

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Speaker 5: I do want to clarify something in the debate. Former

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Speaker 5: President Trump claimed that some states are executing babies after birth.

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Speaker 4: Can you just clarify that.

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Speaker 6: Is not happening anywhere in the United States. It is

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Speaker 6: not happening, and it's a lot just it's a bold

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Speaker 6: faced lie that he is suggesting that. Can you imagine,

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Speaker 6: Can you imagine he is suggesting that women in their

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Speaker 6: ninth month of pregnancy are electing to have an abortion.

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Speaker 4: Are you kidding? That is.

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Speaker 6: So outrageously inaccurate, And it's so insulting to suggest that

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Speaker 6: that would be happening and that women would be doing that.

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Speaker 6: It's not happening anywhere. This guy is full of lies.

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Speaker 6: I mean, I just have to be very candid with you.

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Speaker 6: When I was Attorney General, I was the top law

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Speaker 6: enforcement officer of the biggest state in this country, and

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Speaker 6: I was acutely aware that the words I spoke could

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Speaker 6: be the difference between whether a corporation was in business

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Speaker 6: or out of business, That the words I spoke could

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Speaker 6: move markets. The idea that someone is not only so

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Speaker 6: careless and irresponsible and reckless, but out and out lies

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Speaker 6: to create fear and division in our country and thinks

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Speaker 6: he should be President of the United States, standing behind

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Speaker 6: the seal of the President of the United States using

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Speaker 6: the microphone that comes with that.

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Speaker 2: So that was a decent enough taste of it. I

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Speaker 2: listened to the full thing. It was basically all abortion

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Speaker 2: all the time. Like no offense to Alex, it's not

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Speaker 2: really I guess her job to like sit they're and challenge.

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Speaker 3: It was relatively people.

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Speaker 1: Because I actually never listened to this podcasts, I know

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Speaker 1: that sounds very like so it's one of the biggest

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Speaker 1: podcasts in the world.

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Speaker 3: Second podcast it's like and Men, Yes call her Daddy.

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Speaker 1: And I think the closest equivalent is to kind of

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Speaker 1: say it is sort of like Rogan for women.

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Speaker 2: Yeah, absolutely, I mean it is the pop culture the

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Speaker 2: flagship pop culture show for women, so in the same

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Speaker 2: way that there's like the Rogan universe and the Barstool universe,

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Speaker 2: which is like sports, UFC, comedy and all of that.

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Speaker 2: To be fair to Alex Cooper, with the niche that

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Speaker 2: she created effectively is to have that but for women.

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Speaker 2: The show itself started off as like basically this raunchy

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Speaker 2: sex show under Barstool.

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Speaker 3: It's since transformed.

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Speaker 2: Into I would almost say, like an Oprah for millennial

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Speaker 2: gen Z women. A lot of the guests or reality

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Speaker 2: television stars. It's a lot of like a lot of

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Speaker 2: it is like dating advice or like how to find.

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Speaker 4: That kind of stuff.

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Speaker 2: Yeah, I mean, look, it's not bad. I guess we're

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Speaker 2: se clearly people really enjoy it. She just struck one

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Speaker 2: hundred and twenty five million dollar deal. I mean, I

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Speaker 2: will say this look as cringe as I found a

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Speaker 2: lot of the content. It's obviously not for me. It's

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Speaker 2: for younger gen Z and millennial women, which is the

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Speaker 2: hardest core demographic trending towards the Democratic Party in the

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Speaker 2: last decade, and especially.

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Speaker 3: When you flip that on the side with men.

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Speaker 2: So the way I would look at it is there

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Speaker 2: is a reason that Trump is doing the Theovon podcast.

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Speaker 2: You'll be doing some other interesting podcasts which you guys

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Speaker 2: will see soon, the Aiden Ross Show and others, which

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Speaker 2: is trying to shore up that while at the same

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Speaker 2: time Kamala is now appearing on Call Her Daddy. They

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Speaker 2: really are two sides of the same coin, and it

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Speaker 2: is It's not a bad strategy, especially if you want

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Speaker 2: to go and you want to talk there about the

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Speaker 2: issue of abortion. That's exactly something that I would do.

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Speaker 2: What is interesting is that Alex did reverse her past position.

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Speaker 2: She had actually been offered Joe Biden and Kamala Harris

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Speaker 2: in the past, while Biden was still in the race.

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Speaker 2: She said, I'm not interested in being political or any

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Speaker 2: of that. But look, I mean, he doesn't take a

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Speaker 2: genius to figure out that the girl who does call

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Speaker 2: her Daddy is herself a liberal, especially since he's done

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Speaker 2: previous stuff about Roe versus Wade. And I think one

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Speaker 2: of the major cultural takeaways you can have from it

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Speaker 2: is that the childish cat Lady thing was a big

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Speaker 2: flagship of that Call Her Daddy podcast on top of

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Speaker 2: the issue of abortion that broke through in the same

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Speaker 2: way like the Taylor Swift endorsement did as well. So

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Speaker 2: it's not surprising, but it is definitely it fits with

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Speaker 2: the media strategy of both of these campaigns. When you're

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Speaker 2: looking at young people, you want to go with the

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Speaker 2: podcast demographic, and you specifically want to go to the

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Speaker 2: demographics that are trending the most in your direction. Here

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Speaker 2: we're talking about young women, and we're talking about the

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Speaker 2: issue abortion.

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Speaker 1: And you're talking about young women who are not necessarily

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Speaker 1: politically engaged. So the thought is, Okay, well, this is

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Speaker 1: a platform, This is a show that has.

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Speaker 4: A wide reach among young women who may not.

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Speaker 1: Be super plugged into the election, that I can speak

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Speaker 1: to directly here on issues that I presume that they're

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Speaker 1: going to be aligned on and interested in, etc. So

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Speaker 1: I mean, certainly as a political strategy seems quite sound,

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Speaker 1: quite reasonable, And it does as you were saying, Sager,

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Speaker 1: like the choice of which podcast Trump is doing versus

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Speaker 1: the choice of podcasts that Kamlin is doing, also underscores

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Speaker 1: like the underlying gender dynamics in this election, which some

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Speaker 1: of the polls indicate you could have the largest gender

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Speaker 1: gap possibly in history by the time voters go to

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Speaker 1: the polls. And nowhere is that gender gap larger than

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Speaker 1: among gen Z. So you know, when you're talking about

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Speaker 1: I mean the podcast audience, it's not like podcasts are

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Speaker 1: brand new. Older people have also discovered podcasts, so it's

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Speaker 1: not like it's all gen Z. But certainly you're not

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Speaker 1: reaching young people on traditional news shows. This is your

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Speaker 1: chance to reach out to younger demographics.

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Speaker 2: I would put it as for sure, older people will

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Speaker 2: listen to podcasts, but a lot of them watch the

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Speaker 2: news and consume the news, whereas a lot of gen

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Speaker 2: Z people in particular, they're not turning the news.

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Speaker 3: On at all.

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Speaker 2: At best, you know, they maybe serve a clip from

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Speaker 2: like US or anybody else who does independent media news shows,

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Speaker 2: and even then you know you're lucky if that's actually happening. Irl,

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Speaker 2: it's like watching a viral clip go somewhere and or

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Speaker 2: listening to your favorite call Her Daddy episode Yeah, on

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Speaker 2: your drive to work or on a runner, or.

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Speaker 1: I could see this being the sort of thing that

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Speaker 1: gets clipped into and shared out to.

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Speaker 2: Your talk that she's a huge Alex Cooper is massive

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Speaker 2: on TikTok on Instagram as well.

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Speaker 3: So look, I mean it was a smart strategy.

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Speaker 2: It's smart too whenever Trump does it, and he goes

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Speaker 2: on these more like lifestyle men's podcasts as well, and

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Speaker 2: I think you will see more of that during this

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Speaker 2: election and not less now. Also, though she did do

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Speaker 2: some actual flagship like traditional media as flagship really as

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Speaker 2: it gets with sixty Minutes. This was as part of

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Speaker 2: sixty Minutes major election series where they had interviews lined

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Speaker 2: up with Trump and with Kamala. Trump actually ended up

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Speaker 2: pulling out of sixty Minutes, but Kamala did.

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Speaker 3: Sit for an interview with them.

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Speaker 2: Perhaps most noteworthy was this answer on the US relationship

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Speaker 2: with Israel. Some vintage Kamala word salad.

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Speaker 3: Let's take a listen.

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Speaker 7: We supply Israel with billions of dollars in military aid,

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Speaker 7: and yet Prime Minister of net and Yahoo seems to

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Speaker 7: be charting his own course. The Biden Harris administration has

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Speaker 7: pressed him to agree to cease fire, He's resisted. You

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Speaker 7: urged him not to go into Lebanon. He went in.

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Speaker 7: Any way, he has promised to make Iran pay for

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Speaker 7: the missile attack, and that has the potential of expanding

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Speaker 7: the war. Does the US have no sway over Prime

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Speaker 7: Minister NETANYAHUU.

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Speaker 6: The aid that we have given Israel allowed Israel to

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Speaker 6: defend itself against two hundred ballistic missiles that were just

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Speaker 6: meant to attack the Israelis and the people of Israel.

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Speaker 6: And when we think about the threat that hamas Hezbolah

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Speaker 6: presents Iran, I think that it is without any question,

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Speaker 6: are imperative to do what we can to allow Israel

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Speaker 6: to defend itself against those kinds of attacks.

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Speaker 7: But it seems that Prime Minister Netanyah who is not listening.

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Speaker 3: Well, Bill.

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Speaker 6: The work that we have done has resulted in a

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Speaker 6: number of of movements in that region by Israel that

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Speaker 6: were very much prompted by or a result of many things,

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Speaker 6: including our advocacy for what needs to happen in the region.

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Speaker 7: Do we have a real close ally in prime Minister

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Speaker 7: in Yahoo?

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Speaker 6: I think, with all due respect, the better question is

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Speaker 6: do we have an important alliance between the American people

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Speaker 6: and the Israeli people? And the answer to that question

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Speaker 6: is yes.

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Speaker 2: All right, so let me just repeat this about Israel,

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Speaker 2: She says, well, Bill, the work that we have done

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Speaker 2: has resulted in a number of movements in that region

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Speaker 2: by Israel that were very much prompted or a result

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Speaker 2: of many things, including our advocacy for what needs to

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Speaker 2: happen in the region.

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Speaker 4: A lot of.

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Speaker 3: Translator, What does that mean exactly? Well, you know, look,

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Speaker 3: we'll give sixteen minutes credit. The questions are actually quite

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Speaker 3: good throughout the interview.

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Speaker 1: Much better than Hey, how quick do you want to

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Speaker 1: like nuk Aran? You know, which was the opening question

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Speaker 1: of the day.

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Speaker 4: Give them that so much better framing here serves the answer.

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Speaker 2: Well, it's a little bit difficult, and I think that

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Speaker 2: highlights the very classic thing about the Kamala campaign, where

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Speaker 2: devoid of a lot of substance about what people are

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Speaker 2: actually going to do. And look, this isn't just about

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Speaker 2: a critic of like us personally. It is clear through

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Speaker 2: all the polling that we see right now amongst swing voters,

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Speaker 2: the tiny slice of swing voters that are left in

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Speaker 2: this country, they want to see more substance from Kamala.

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Speaker 2: They actually are yearning to be like, hey, what are

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Speaker 2: you going to do? Maybe not even if they care

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Speaker 2: about the policy details, although I think some do, But

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Speaker 2: there is this feeling that with Trump, I know everything

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Speaker 2: I have, not only was he in office, I feel

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Speaker 2: like I know what he's going to do. There's a

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Speaker 2: familiarity there with Kamala. The question mark is still big

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Speaker 2: enough that answers like this. I really don't think they

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Speaker 2: behoove her to swing voters.

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Speaker 1: They definitely did not behoove her to anyone. I mean,

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Speaker 1: let's and let's talk about the politics first. So poll

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Speaker 1: after poll shows not only do people want more substance,

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Speaker 1: they want separation from Joe Biden. The messages that tests

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Speaker 1: the best for Kamala Harris and have since she got

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Speaker 1: into the race is where she establishes her own ideas

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Speaker 1: and her separation from this continually unpopular president. So here

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Speaker 1: you have an issue where his policy is failed, where

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Speaker 1: he is very unpopular, where not just the base of

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Speaker 1: the party, but the majority of the American public would

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Speaker 1: like to see a different direction in terms of actually

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Speaker 1: using US leverage to I don't know, withhold weaponshipment so

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Speaker 1: that we can't don't continue to see, you know, complete

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Speaker 1: annihilation throughout the entire Middle East, which is the track

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Speaker 1: that we're on right now vis a vis Israel and

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Speaker 1: Iran and Lebanon and Gaza and the West Bank, et cetera,

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Speaker 1: et cetera, et cetera. So here you have perfect opportunity

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Speaker 1: to establish a little bit of distance, and instead you

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Speaker 1: get whatever the hell that was. And the true of

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Speaker 1: the matter is, if you're there just to defend the

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Speaker 1: Biden policy, you can't. You can't because the Biden policy

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Speaker 1: has been one of impotence and failure.

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Speaker 4: You know, at this point, there was once a.

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Speaker 1: Time where they could have said, okay, well, and not

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Speaker 1: that this was really accurate, but at least it was

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Speaker 1: something they could tell we've avoided a wider war.

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Speaker 4: You can't say that anymore.

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Speaker 1: So you've allowed total annihilation of the Gaza strip, and

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Speaker 1: now we stand on the precipice of some massive escalation

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Speaker 1: with regards to Iran, so you can't answer that question

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Speaker 1: and say, oh, here's how our policy has worked, here's

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Speaker 1: how we've used leverage, here's how we've constrained Israeli behavior,

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Speaker 1: because there's literally nothing you could point to at this point. So,

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Speaker 1: you know, just to give people a sense on the

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Speaker 1: substance here as well, there's all these articles being written

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Speaker 1: now that are total cope and cover for Joe Biden

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Speaker 1: and Kamala Harris that are like, oh, well, you know,

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Speaker 1: they just he tried, but he just doesn't really have

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Speaker 1: power in the region, total incomplete bullshit. The SURF shared

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Speaker 1: this list of US presidents all Republicans, by the way,

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Speaker 1: who effectively used leverage to constrain Israeli behavior. Can go

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Speaker 1: back to Dwight Eisenhower during the Suez Crisis of the fifties.

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Speaker 1: Leverage the threat of sanctions to con vinst Israel withdraw

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Speaker 1: from the Sinai Peninsula. Also temporarily delayed funding to Israel

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Speaker 1: over its construction of a hydroelectric project on the Jordan River.

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Speaker 4: Ronald Reagan back in.

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Speaker 1: Nineteen eighty one indefinitely delayed two shipments of F sixteen

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Speaker 1: fighter jets to Israel over escalating levels of violence in

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Speaker 1: the Middle East. The following year, warned Congress Israel might

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Speaker 1: have violated its arms agreement with the US by using

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Speaker 1: American made weapons during its invasion of Lebanon. In nineteen

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Speaker 1: eighty three, reaffirmed he would not send those F sixteen

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Speaker 1: jets until Israel withdrew from Lebanon. Quote, while these forces

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Speaker 1: are in the position of occupying another country that now

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Speaker 1: has asked them to leave, we are forbidden by launch

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Speaker 1: or release those planes.

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Speaker 4: George H. W. Bush.

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Speaker 1: In nineteen ninety two, the Bush administration threatened to withhold

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Speaker 1: the delivery of ten billion dollars in loading guarantees to

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Speaker 1: Israel if it continued building settlements in the occupied West

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Speaker 1: Bank and got according to the Washington Post, So, somehow

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Speaker 1: previous presidents have managed to figure this out and not

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Speaker 1: just get rolled over and over and over and over again,

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Speaker 1: not just allow the country to be humiliated and civilians

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Speaker 1: to be endlessly slaughtered throughout the entire region. But this

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Speaker 1: hapless failed president, with the policy that Kamala Harris is

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Speaker 1: here defending, couldn't seem to do anything more than temporarily

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Speaker 1: delay one shipment of weapons that then, of course was

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Speaker 1: superseded by many many, many more shipments of weapons so

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Speaker 1: Israel could continue to do whatever the hell they want.

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Speaker 1: And Bbnatnyahu knows all of this, which is why he

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Speaker 1: has known from the beginning that any of these quote

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Speaker 1: unquote red lines were utterly meaningless because Biden and Harris

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Speaker 1: were unwilling to use the leverage that is available to

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Speaker 1: the US in order to constrain their behavior.

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Speaker 3: Yeah, we will. I'm sure you know.

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Speaker 2: This is part of the other problem without debates is

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Speaker 2: that you know, this is about as good as we're

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Speaker 2: probably going to get before election day of a genuine

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Speaker 2: substance of answer from Kamala, especially considering the rest of

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Speaker 2: the interviews that we have lined up.

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Speaker 3: Let's put this up there on the screen.

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Speaker 2: So Monday, we had the sixty minutes interview that's going

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Speaker 2: to air in full Tuesday, Harris will speak to the View,

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Speaker 2: the Howard Stern Show and The Late Show with Stephen Colbert.

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Speaker 2: I'm sure we'll get a lot of hard hitting stuff

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Speaker 2: out of those. And then we have Harris campaigning in Nevada.

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Speaker 2: She will participate in a Univision town hall. Finally, on Friday,

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Speaker 2: she will campaign in Arizona. The reason why I think

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Speaker 2: This schedule is very important, especially if you pair it

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Speaker 2: with the Call Her Daddy appearance that aired yesterday. Is

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Speaker 2: let's look at the full view of the demographics in

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Speaker 2: each one. For Call Her Daddy, it's young women. For

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Speaker 2: the View Howard Stern, and for the Late Show, we're

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Speaker 2: talking about white boomers specifically. Then Univision we're looking at Latinos,

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Speaker 2: and then obviously Harris campaigning in the battleground state of Arizona.

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Speaker 2: So what we see is their electoral path of which

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Speaker 2: they need to shore people up. They need to drive

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Speaker 2: up the vote as much as possible there with young women,

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Speaker 2: with boomers. They need to try and win those college

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Speaker 2: educated voters at even higher pace than they did last

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Speaker 2: time around more suburban folks, the people who are older,

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Speaker 2: anybody who still tunes into the Vie, Howard Stearn or

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Speaker 2: the Late Show, and then the Univision town hall that

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Speaker 2: is going to be directly targeted at Latino voters of

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Speaker 2: whom she's lost the most ground with compared to past Democrats,

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Speaker 2: where Trump is likely to win not a majority per se,

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Speaker 2: but maybe a majority of men and very likely as

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Speaker 2: close to fifty to fifty as a Republican will have

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Speaker 2: gotten since George W.

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Speaker 3: Bush back in the two thousands.

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Speaker 2: So I think those appearances, when we take them all together,

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Speaker 2: even sixty minutes, honestly, it's one of those probably is

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Speaker 2: still the most watched news program in the entire country.

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Speaker 2: You put that together, you really see a clear picture

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Speaker 2: of the demographics they are going hard for them. They

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Speaker 2: are trying to drive out turnout amongst the people who

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Speaker 2: they see either as needing to shore up or the

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Speaker 2: traditional constituencies of the Democratic Party.

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Speaker 1: I think you can also read into this that they

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Speaker 1: have somewhat decided to switch strategies from the just like

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Speaker 1: hiding her and you know, hoping that the paid communications

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Speaker 1: are sufficient. They appear to have heard the criticism that, like, listen,

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Speaker 1: this thing is on a knife sedge and if you

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Speaker 1: want to win, you got to be out there doing

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Speaker 1: more than playing prevent defense. So that's also part of

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Speaker 1: what's noteworthy about this, you know, relatively more aggressive schedule

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Speaker 1: of media appearances. And yeah, the call her Daddy is

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Speaker 1: more of a niche audio. It's a large audience, but

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Speaker 1: it's also like targeting a specific demographic. Univision also obviously

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Speaker 1: targeting a specific demographic.

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Speaker 4: The other ones.

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Speaker 1: These are broad general population, like very mainstream the view

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Speaker 1: the Howard Stern Show, Late Show with Stephen Colbert, more

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Speaker 1: of a broad swath of the American public and certainly

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Speaker 1: an older demographic.

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Speaker 4: Then call her daddy for example.

440
00:21:45,480 --> 00:21:46,840
Speaker 3: There you go. Makes a lot of sense.

441
00:21:49,400 --> 00:21:51,840
Speaker 2: On top of that switch strategy, Like you said, Tim

442
00:21:51,880 --> 00:21:55,760
Speaker 2: Wallas is now announced a slew of media appearances similarly

443
00:21:55,800 --> 00:21:58,959
Speaker 2: appeared on Fox New Sunday, and a challenging back and

444
00:21:59,000 --> 00:22:03,400
Speaker 2: forth on the issue you of abortion. Honestly smart because

445
00:22:03,640 --> 00:22:05,679
Speaker 2: really it showed that he was nervous in that debate

446
00:22:05,880 --> 00:22:07,399
Speaker 2: and he was rusty a little bit. I think in

447
00:22:07,480 --> 00:22:10,640
Speaker 2: terms of answering questions this time around it definitely changed

448
00:22:10,720 --> 00:22:12,760
Speaker 2: up a bit. He was challenged on abortion and on

449
00:22:12,880 --> 00:22:16,119
Speaker 2: past misstatements. Let's go ahead and listen to the abortion section. First,

450
00:22:16,400 --> 00:22:17,000
Speaker 2: abortion is.

451
00:22:17,040 --> 00:22:20,440
Speaker 8: Legal throughout pregnancy in Minnesota. There is no ban or

452
00:22:20,560 --> 00:22:23,480
Speaker 8: limits on abortion in Minnesota based on how far along

453
00:22:23,520 --> 00:22:25,560
Speaker 8: in a pregnancy you are. You signed the bill that

454
00:22:25,640 --> 00:22:28,159
Speaker 8: makes it legal through all nine months. Is that a

455
00:22:28,200 --> 00:22:30,920
Speaker 8: position you think Democrats should advocate for nationally?

456
00:22:32,560 --> 00:22:34,760
Speaker 9: Look, the Vice President, I have been clear the restoration

457
00:22:34,840 --> 00:22:37,159
Speaker 9: of Roe versus Wade is what we're asking for this

458
00:22:38,520 --> 00:22:40,840
Speaker 9: Wade to make her own the law does. The law

459
00:22:40,920 --> 00:22:43,239
Speaker 9: is very clear. It does not change that that has

460
00:22:43,280 --> 00:22:44,760
Speaker 9: been debunked on every occasion.

461
00:22:44,760 --> 00:22:45,760
Speaker 3: But this is age.

462
00:22:46,280 --> 00:22:48,879
Speaker 8: Let's agree what you signed is there's not a single

463
00:22:48,920 --> 00:22:51,280
Speaker 8: limit through nine months of pregnancy. Roe had a trimester

464
00:22:51,440 --> 00:22:54,640
Speaker 8: framework that did have limits through the pregnancy. The Minnesota

465
00:22:54,720 --> 00:22:55,200
Speaker 8: law does.

466
00:22:55,080 --> 00:22:55,600
Speaker 3: Not have that.

467
00:22:55,720 --> 00:22:58,919
Speaker 9: This puts This puts the decision with the woman in

468
00:22:58,920 --> 00:23:02,040
Speaker 9: her healthcare providers. The situation we have is when you

469
00:23:02,119 --> 00:23:05,320
Speaker 9: don't have the ability of health care providers to provide that.

470
00:23:05,320 --> 00:23:07,679
Speaker 9: That's where you end up with a situation like Amanda

471
00:23:07,720 --> 00:23:11,720
Speaker 9: Zuworski in Texas, where they are afraid to do what's necessary.

472
00:23:11,840 --> 00:23:15,320
Speaker 9: This doesn't change anything. It puts the decision back on

473
00:23:15,800 --> 00:23:18,080
Speaker 9: to the woman, to the physicians. And we know that

474
00:23:18,119 --> 00:23:20,439
Speaker 9: this is simply something to be brought up Tims. To

475
00:23:20,440 --> 00:23:23,320
Speaker 9: be very clear, Donald Trump's asking for a nation wide

476
00:23:23,359 --> 00:23:26,439
Speaker 9: abortion bank, and again we don't see this lead.

477
00:23:26,440 --> 00:23:28,600
Speaker 8: That he will not sign a national abortion band. Are

478
00:23:28,640 --> 00:23:31,120
Speaker 8: you calling that just it's a flat out line soon.

479
00:23:32,160 --> 00:23:36,480
Speaker 9: Yes, of course, and Senator Vance has in the past

480
00:23:36,560 --> 00:23:39,159
Speaker 9: said so too. Now, look, they may see this as

481
00:23:39,200 --> 00:23:41,520
Speaker 9: an election issue. We see it as a right of

482
00:23:41,560 --> 00:23:43,720
Speaker 9: women to make their own bodily decisions.

483
00:23:44,000 --> 00:23:48,120
Speaker 2: So look, clearly that was that is good ground for

484
00:23:48,240 --> 00:23:51,240
Speaker 2: Tim Walls and the Kamala Harris campaign, And it was

485
00:23:51,280 --> 00:23:54,119
Speaker 2: an intentional choice that his first cable news interview was

486
00:23:54,160 --> 00:23:57,000
Speaker 2: going to go to Fox News Sunday. He also got

487
00:23:57,040 --> 00:24:00,520
Speaker 2: asked about those past misstatements. Let's see how it went

488
00:24:00,560 --> 00:24:03,000
Speaker 2: for him, his best, very shaky area in the debate,

489
00:24:03,040 --> 00:24:04,160
Speaker 2: it went a little bit better for him.

490
00:24:04,160 --> 00:24:06,479
Speaker 8: Listen before we go, because I wish that we had

491
00:24:06,480 --> 00:24:07,960
Speaker 8: a full hour. I want to give you a chance

492
00:24:08,000 --> 00:24:10,560
Speaker 8: because you called yourself a knucklehead this week, to talk

493
00:24:10,560 --> 00:24:14,320
Speaker 8: about some of your misstatements. You've modified your story or

494
00:24:14,400 --> 00:24:17,280
Speaker 8: explained that you misspoke about things involving your military rank,

495
00:24:17,680 --> 00:24:20,880
Speaker 8: about carrying a weapon in war, your nineteen ninety five

496
00:24:20,960 --> 00:24:24,360
Speaker 8: DUI arrest, using IVF to have your beautiful children, Guss

497
00:24:24,400 --> 00:24:26,960
Speaker 8: and Hope being in Hong Kong and China in the

498
00:24:26,960 --> 00:24:31,359
Speaker 8: summer of nineteen eighty nine during the Taneman events, A

499
00:24:31,359 --> 00:24:33,240
Speaker 8: lot of people would say they couldn't get away with

500
00:24:33,280 --> 00:24:35,560
Speaker 8: saying I'm just too passionate, my grammar's not right, I'm

501
00:24:35,560 --> 00:24:36,320
Speaker 8: a knucklehead.

502
00:24:36,760 --> 00:24:37,240
Speaker 4: What do you say?

503
00:24:37,240 --> 00:24:40,000
Speaker 8: To the American people who think I don't know that

504
00:24:40,040 --> 00:24:42,639
Speaker 8: I can trust this guy with all those modifications to

505
00:24:42,800 --> 00:24:46,960
Speaker 8: be the potential commander in chief of this country.

506
00:24:47,040 --> 00:24:48,639
Speaker 9: Yeah, well I think they heard me. They heard me

507
00:24:48,720 --> 00:24:52,159
Speaker 9: the other night speaking passionately about gun violence and misspeaking.

508
00:24:52,440 --> 00:24:54,560
Speaker 9: And I got to be honest with you, Ashannon. I

509
00:24:54,560 --> 00:24:57,919
Speaker 9: don't think people care whether I used IUI or IVF

510
00:24:57,960 --> 00:25:00,200
Speaker 9: when we talk about this. What they understand and is

511
00:25:00,280 --> 00:25:03,600
Speaker 9: Donald Trump would resist those things. Look, I speak passionately.

512
00:25:03,680 --> 00:25:06,040
Speaker 9: I had an entire career decades before I was in

513
00:25:06,040 --> 00:25:09,240
Speaker 9: public office. They know, and I'm very proud of my

514
00:25:09,280 --> 00:25:12,520
Speaker 9: twenty four years in service and my record. I have

515
00:25:12,680 --> 00:25:15,240
Speaker 9: never disparaged someone else in this. But I know that's

516
00:25:15,240 --> 00:25:16,400
Speaker 9: not what Donald Trump does.

517
00:25:16,560 --> 00:25:18,560
Speaker 3: So look, I mean, I don't know what it is.

518
00:25:18,720 --> 00:25:20,960
Speaker 2: Wallts is a lot bit more common, like a different

519
00:25:20,960 --> 00:25:25,560
Speaker 2: guy in cable news as opposed to the well China misspoke.

520
00:25:25,880 --> 00:25:28,280
Speaker 2: I don't know what's going on there. But look, this

521
00:25:28,359 --> 00:25:30,680
Speaker 2: is why it's just funny. That's why he got the

522
00:25:30,760 --> 00:25:33,239
Speaker 2: VP pick in the first place. He's going viral on

523
00:25:33,359 --> 00:25:37,399
Speaker 2: TV and then it took a bad debate performance for

524
00:25:37,480 --> 00:25:40,919
Speaker 2: him to then go back on TV. But look, I mean,

525
00:25:40,960 --> 00:25:44,040
Speaker 2: I guess you could see two different ways. One is

526
00:25:44,200 --> 00:25:47,160
Speaker 2: they see it clearly as an error that they weren't

527
00:25:47,200 --> 00:25:49,960
Speaker 2: doing more media and they were trying to safe strategy.

528
00:25:49,960 --> 00:25:52,639
Speaker 2: They also could be intentional, as in they held it

529
00:25:52,680 --> 00:25:55,159
Speaker 2: back as far as they could risk wise, and then

530
00:25:55,480 --> 00:25:58,560
Speaker 2: in the sprint to election day, only twenty nine days left,

531
00:25:58,720 --> 00:26:01,719
Speaker 2: you're going to try and Pepper in his more media appearances. Traditionally,

532
00:26:01,760 --> 00:26:04,280
Speaker 2: this is when the most amount of eyeballs will be

533
00:26:04,640 --> 00:26:07,000
Speaker 2: on these people, and with the swing voters in a

534
00:26:07,119 --> 00:26:10,680
Speaker 2: very very narrow election really only data wise, three weeks

535
00:26:10,720 --> 00:26:13,320
Speaker 2: before is when they really start to pay attention. This

536
00:26:13,400 --> 00:26:15,439
Speaker 2: is crazy, I mean to me, probably to you most

537
00:26:15,440 --> 00:26:17,560
Speaker 2: of the people who watch this show. There are millions

538
00:26:17,600 --> 00:26:20,159
Speaker 2: of people, specifically swing voters, who don't make up their

539
00:26:20,200 --> 00:26:22,639
Speaker 2: mind until like two weeks before election. Some of them

540
00:26:22,680 --> 00:26:24,680
Speaker 2: don't even make up their mind until like the day

541
00:26:24,720 --> 00:26:26,960
Speaker 2: of the election day. And the things they look for

542
00:26:27,000 --> 00:26:29,120
Speaker 2: and they consider their votes on are not the way

543
00:26:29,200 --> 00:26:30,960
Speaker 2: that you and I would be doing it. And a

544
00:26:31,000 --> 00:26:33,800
Speaker 2: lot of it will be dependent on media, it will

545
00:26:34,119 --> 00:26:37,320
Speaker 2: dependent on the vibe of the candidate, sometimes the vibe

546
00:26:37,320 --> 00:26:39,800
Speaker 2: of the day itself. There's a lot of political science

547
00:26:39,840 --> 00:26:42,240
Speaker 2: research on this, So it's kind of fascinating in the

548
00:26:42,280 --> 00:26:44,760
Speaker 2: era where there are less swing voters than ever, but

549
00:26:44,800 --> 00:26:48,880
Speaker 2: they are still so determinative and matter. This period will

550
00:26:48,880 --> 00:26:50,880
Speaker 2: be the most important, and that's when media, I think,

551
00:26:50,920 --> 00:26:51,840
Speaker 2: is going to matter the most.

552
00:26:52,000 --> 00:26:52,240
Speaker 4: Yeah.

553
00:26:52,520 --> 00:26:54,719
Speaker 1: I mean it's possible also that they were just like

554
00:26:54,760 --> 00:26:58,240
Speaker 1: super focused on debate prep, but in my opinion, this

555
00:26:58,440 --> 00:27:01,679
Speaker 1: is better debate prep than carently whatever Pete budage was

556
00:27:01,720 --> 00:27:04,639
Speaker 1: thrown at him in you know, in a cloistered room.

557
00:27:05,200 --> 00:27:06,720
Speaker 4: So it's funny.

558
00:27:06,840 --> 00:27:09,680
Speaker 1: I mean, I understand that the debate skill set and

559
00:27:09,760 --> 00:27:13,600
Speaker 1: just the sense of pressure among at this one moment,

560
00:27:13,720 --> 00:27:15,960
Speaker 1: you know, you've got this one opportunity, this one debate,

561
00:27:16,000 --> 00:27:17,840
Speaker 1: and you've got someone who's aversarra, you don't know what's

562
00:27:17,960 --> 00:27:20,320
Speaker 1: they're gonna throw at you, et cetera, et cetera. I

563
00:27:20,400 --> 00:27:22,679
Speaker 1: understand it being somewhat different, but it's kind of wild

564
00:27:22,920 --> 00:27:25,000
Speaker 1: how much better he is in these cable news interviews

565
00:27:25,040 --> 00:27:27,399
Speaker 1: where he's so comfortable, he's so forceful, he's able to

566
00:27:27,440 --> 00:27:30,439
Speaker 1: like turn it, you know, difficult questions into a strength,

567
00:27:30,440 --> 00:27:32,960
Speaker 1: et cetera. I knew he must have done welling before

568
00:27:33,000 --> 00:27:34,679
Speaker 1: I watch it, because the only things that the like

569
00:27:34,720 --> 00:27:37,480
Speaker 1: Trump war rooms accounts were sharing was like the tough

570
00:27:37,600 --> 00:27:42,560
Speaker 1: questions she was asking, not even his responses. So you know,

571
00:27:42,800 --> 00:27:45,200
Speaker 1: this is really a big part of why he hands

572
00:27:45,240 --> 00:27:48,359
Speaker 1: up on the ticket because he brings this level of

573
00:27:48,400 --> 00:27:51,920
Speaker 1: comfort and you know, this level of like you know,

574
00:27:52,080 --> 00:27:57,119
Speaker 1: aggressive and effective communication skills to the tickets. So you know,

575
00:27:57,160 --> 00:27:59,560
Speaker 1: hopefully they'll be putting him out there more because I

576
00:27:59,560 --> 00:28:02,560
Speaker 1: do think in these settings he really is an asset

577
00:28:02,720 --> 00:28:03,560
Speaker 1: and proves that.

578
00:28:03,720 --> 00:28:04,760
Speaker 4: Yeah, I mean, he's.

579
00:28:04,600 --> 00:28:07,159
Speaker 1: Not a great debater, but he's when it comes to

580
00:28:07,200 --> 00:28:09,440
Speaker 1: communicating in these forums, he's certainly ready.

581
00:28:09,200 --> 00:28:09,720
Speaker 4: For prime time.

582
00:28:09,840 --> 00:28:11,919
Speaker 2: It's just in general, it's always just better to go on,

583
00:28:12,080 --> 00:28:14,840
Speaker 2: especially in an adversarial interview. Yeah, like that one was

584
00:28:14,880 --> 00:28:16,640
Speaker 2: pretty fair, and so you know, it works for him.

585
00:28:16,720 --> 00:28:18,639
Speaker 2: Obviously it worked well for JD. Vance too, because I

586
00:28:18,680 --> 00:28:20,760
Speaker 2: was a lot of the way that his team prepared

587
00:28:20,800 --> 00:28:22,560
Speaker 2: for those debates, which is just throw him into every

588
00:28:22,600 --> 00:28:25,679
Speaker 2: single Jake Tapper interview or Meet the Press or Margaret

589
00:28:25,680 --> 00:28:29,000
Speaker 2: Brennan on CBS. And that's part of why he felt

590
00:28:29,080 --> 00:28:34,160
Speaker 2: very comfortable there from the very beginning. Let's move now

591
00:28:34,200 --> 00:28:37,439
Speaker 2: to Donald Trump and their strategy kind of a mirror

592
00:28:37,440 --> 00:28:40,200
Speaker 2: image here in terms of call her daddy. So who

593
00:28:40,240 --> 00:28:41,760
Speaker 2: do you go for? You want to go for some

594
00:28:41,840 --> 00:28:46,120
Speaker 2: bro icons? That was of course Elon Musk. And that's

595
00:28:46,280 --> 00:28:51,440
Speaker 2: after Trump returned to Butler, Pennsylvania. He returned to Butler, Pennsylvania,

596
00:28:51,480 --> 00:28:55,200
Speaker 2: the site of that attempted assassination against him, to deliver

597
00:28:55,280 --> 00:28:59,560
Speaker 2: a rally, crazy rally. Some twenty thousand people were in

598
00:28:59,560 --> 00:29:03,400
Speaker 2: at ten absolutely raucous crowd in Pennsylvania, the most critical

599
00:29:03,600 --> 00:29:07,200
Speaker 2: battleground state and where polls show it is completely tied

600
00:29:07,280 --> 00:29:08,760
Speaker 2: up there. So let's go ahead and take a listen

601
00:29:08,800 --> 00:29:09,440
Speaker 2: to Donald Trump.

602
00:29:09,520 --> 00:29:10,400
Speaker 3: And what do you had to say?

603
00:29:11,160 --> 00:29:14,520
Speaker 10: I'm here, take over, Elie, Yes, take over.

604
00:29:16,840 --> 00:29:21,320
Speaker 11: As you can see, I'm not just maga, I'm dark mega. Well,

605
00:29:21,360 --> 00:29:22,920
Speaker 11: first of all, I want to say what an honor

606
00:29:22,960 --> 00:29:28,080
Speaker 11: it is to be here. And you know, the true

607
00:29:28,160 --> 00:29:31,840
Speaker 11: test of someone's character is how they behave under fire.

608
00:29:35,360 --> 00:29:38,040
Speaker 11: And we had one president who couldn't climb a flight

609
00:29:38,120 --> 00:29:45,560
Speaker 11: of stairs and another who was fist pumping after getting shot.

610
00:29:46,400 --> 00:29:50,160
Speaker 10: Fight fight, fight, blood coming down the face.

611
00:29:51,640 --> 00:29:54,560
Speaker 11: Got fourteen states now that that don't require voter. I

612
00:29:54,640 --> 00:30:00,240
Speaker 11: d California, where I used to live, is just just

613
00:30:00,280 --> 00:30:09,640
Speaker 11: passed a law banning voter ID for voting. I still

614
00:30:09,640 --> 00:30:13,720
Speaker 11: can't believe that's real. So how are you supposed to

615
00:30:13,800 --> 00:30:16,480
Speaker 11: have a good proper election if there's no ID?

616
00:30:16,880 --> 00:30:19,560
Speaker 2: All right, So Elon is dark? Maga took the stage

617
00:30:19,760 --> 00:30:22,719
Speaker 2: iconic photo. Let's put this up there on the screen.

618
00:30:23,240 --> 00:30:25,240
Speaker 2: I didn't say iconic necessarily in a good way. He

619
00:30:25,280 --> 00:30:26,920
Speaker 2: could take it whichever.

620
00:30:26,600 --> 00:30:29,120
Speaker 4: Way you want. Trump's face there is funny to give

621
00:30:29,160 --> 00:30:29,720
Speaker 4: it him a look. Late.

622
00:30:29,760 --> 00:30:31,720
Speaker 3: Well, I was like, what did I get myself in?

623
00:30:32,800 --> 00:30:37,360
Speaker 2: But look, at this point, Elon's preference for the Republicans

624
00:30:37,400 --> 00:30:40,840
Speaker 2: well known and obvious. To the question of how exactly

625
00:30:40,840 --> 00:30:43,080
Speaker 2: will manifest I still don't know, although look, you can't

626
00:30:43,080 --> 00:30:46,040
Speaker 2: deny that it clearly still has relatively high favorability rating

627
00:30:46,080 --> 00:30:48,840
Speaker 2: amongst young men from what I was looking at.

628
00:30:48,920 --> 00:30:51,560
Speaker 1: Well, yeah, a couple things to say. I mean, first

629
00:30:51,600 --> 00:30:53,840
Speaker 1: of all, it's important to keep in mind Elon is

630
00:30:54,000 --> 00:30:57,480
Speaker 1: maybe Trump's top Funder Trump, We're going to get into

631
00:30:57,520 --> 00:31:01,480
Speaker 1: some of the fundraising numbers, the campaign and the RNC

632
00:31:01,920 --> 00:31:06,400
Speaker 1: raising way less money than Kamalin. The Democrats like an

633
00:31:06,480 --> 00:31:09,400
Speaker 1: order of magnitude of disparity that we haven't seen before.

634
00:31:09,920 --> 00:31:13,040
Speaker 1: What's helping to somewhat close the gap is in part

635
00:31:13,360 --> 00:31:16,680
Speaker 1: Elon Musk's Superpack, which is doing some of the traditional

636
00:31:16,720 --> 00:31:19,640
Speaker 1: field work, et cetera. And so I mean it is

637
00:31:19,720 --> 00:31:21,800
Speaker 1: like we do have to point out the irony of

638
00:31:21,880 --> 00:31:26,480
Speaker 1: Republicans very upset about Twitter being supposedly biased under Jack Dorsey,

639
00:31:26,760 --> 00:31:29,720
Speaker 1: and now you've got a guy who's running it explicitly

640
00:31:29,800 --> 00:31:32,560
Speaker 1: in favor of Donald Trump, who is speaking at his

641
00:31:32,680 --> 00:31:36,000
Speaker 1: rallies and funding his campaign to a large extent. And

642
00:31:36,360 --> 00:31:38,200
Speaker 1: you know, for some reason, I don't see as much

643
00:31:38,200 --> 00:31:41,360
Speaker 1: handbringing about that. So in any case, you know, it's

644
00:31:41,440 --> 00:31:45,000
Speaker 1: it's also look, Elon's billionaire, He's got a lot of

645
00:31:45,000 --> 00:31:47,560
Speaker 1: government contracts. He's got a lot to gain also from

646
00:31:47,680 --> 00:31:50,960
Speaker 1: having very cozy relationship with the President of the United States,

647
00:31:51,320 --> 00:31:54,000
Speaker 1: so that part should not go unremarked upon either.

648
00:31:54,360 --> 00:31:56,840
Speaker 2: Yeah, and it's interesting too to look at his pack,

649
00:31:56,880 --> 00:31:59,120
Speaker 2: the America Pack. I was just in Pennsylvania this weekend,

650
00:31:59,160 --> 00:32:00,760
Speaker 2: and they were actually quite a lot of ads that

651
00:32:00,800 --> 00:32:03,280
Speaker 2: I saw that were done by that America Pack. So

652
00:32:03,280 --> 00:32:07,400
Speaker 2: that's direct that to direct evidence of the impact that

653
00:32:07,440 --> 00:32:11,320
Speaker 2: he's having. Trump also did a as I was saying,

654
00:32:11,480 --> 00:32:13,960
Speaker 2: which is when he was shot at that exact moment

655
00:32:14,040 --> 00:32:17,640
Speaker 2: when he was pointing towards a graph and a chart,

656
00:32:17,720 --> 00:32:20,040
Speaker 2: the chart that he credits with saving his life.

657
00:32:20,120 --> 00:32:21,480
Speaker 3: Let's take a listen to how that went.

658
00:32:21,880 --> 00:32:40,160
Speaker 10: Pennsylvania. We love Pennsylvania. And as I was saying, oh,

659
00:32:40,200 --> 00:32:44,600
Speaker 10: I love that I love that chart. I love that graph.

660
00:32:44,680 --> 00:32:46,560
Speaker 3: I love that chart. I love that graph.

661
00:32:46,600 --> 00:32:48,680
Speaker 2: So that was it was a big moment there for

662
00:32:48,760 --> 00:32:51,680
Speaker 2: the crowd, especially, like I said, I was in Pennsylvania.

663
00:32:52,080 --> 00:32:53,280
Speaker 3: I'm telling you the number of.

664
00:32:53,320 --> 00:32:56,040
Speaker 2: Political ads that people are dealing with over there, My god,

665
00:32:56,120 --> 00:33:00,200
Speaker 2: God bless you. It's also all of these signs everywhere

666
00:33:00,000 --> 00:33:02,960
Speaker 2: where you can tell people are jazzed up. Whether it's Trump,

667
00:33:03,040 --> 00:33:06,280
Speaker 2: whether it's Kamala, whichever era you in and which way

668
00:33:06,280 --> 00:33:10,320
Speaker 2: it tilts, they are huge. It also is in the

669
00:33:10,360 --> 00:33:13,280
Speaker 2: context these rallies of Donald Trump and now the media

670
00:33:13,320 --> 00:33:16,240
Speaker 2: strategy by Kamala there's some really interesting insight into how

671
00:33:16,240 --> 00:33:18,760
Speaker 2: both of these people are spending their last month of

672
00:33:18,800 --> 00:33:19,240
Speaker 2: the campaign.

673
00:33:19,320 --> 00:33:21,360
Speaker 3: Let's put this up there on the screen.

674
00:33:21,440 --> 00:33:24,960
Speaker 2: So, as Crystal alluded to, Kamala Harris has a massive

675
00:33:25,000 --> 00:33:29,040
Speaker 2: disparity in money and her ability to spend on traditional

676
00:33:29,080 --> 00:33:32,160
Speaker 2: advertising in the lead up to election. She has placed

677
00:33:32,160 --> 00:33:35,240
Speaker 2: two hundred and sixty three million dollars in ads between

678
00:33:35,280 --> 00:33:37,920
Speaker 2: the end of the convention and October fourth, two and

679
00:33:37,920 --> 00:33:39,920
Speaker 2: a half times as much as the one hundred and

680
00:33:40,000 --> 00:33:43,080
Speaker 2: nine million spent by Donald Trump. She has more staff,

681
00:33:43,080 --> 00:33:46,800
Speaker 2: more volunteers, a larger surrogate operation, more digital advertising, more

682
00:33:46,840 --> 00:33:51,240
Speaker 2: sophisticated smartphone based organizing program, extra money for extraneous spells

683
00:33:51,280 --> 00:33:54,480
Speaker 2: and whistles typically reserved for corporate product launches and professional

684
00:33:54,480 --> 00:33:58,000
Speaker 2: sports championships. A quote Harris Drone light Show recently flew

685
00:33:58,040 --> 00:34:01,240
Speaker 2: over Philadelphia. Her rally attended often get light up pop

686
00:34:01,320 --> 00:34:03,880
Speaker 2: up race alerts. They are even plans in the works

687
00:34:03,920 --> 00:34:07,000
Speaker 2: for a late October infomercial to air on Swing state

688
00:34:07,240 --> 00:34:10,560
Speaker 2: broadcast networks. The scale of her financial advantage larger than

689
00:34:10,640 --> 00:34:13,880
Speaker 2: anything Trump faced in his previous two races for the

690
00:34:13,880 --> 00:34:14,359
Speaker 2: White House.

691
00:34:14,440 --> 00:34:15,680
Speaker 3: Now look, money is and everything.

692
00:34:15,760 --> 00:34:19,520
Speaker 2: As they accurately point out, Hillary outspent him massively back

693
00:34:19,520 --> 00:34:22,200
Speaker 2: in two thousand and sixteen. But if we put this

694
00:34:22,280 --> 00:34:24,360
Speaker 2: next one up on the screen just to show people

695
00:34:24,680 --> 00:34:28,560
Speaker 2: the scale of it, the scale is genuinely unprecedented. Twenty twenty,

696
00:34:28,640 --> 00:34:31,560
Speaker 2: Joe Biden outspent him significantly, so did Hillary, but this

697
00:34:31,680 --> 00:34:35,000
Speaker 2: time We're talking orders of magnitude larger. To bypass that

698
00:34:35,160 --> 00:34:38,279
Speaker 2: with Trump and his allies are looking to is to

699
00:34:38,400 --> 00:34:42,640
Speaker 2: get earned media and traditional like the way that they

700
00:34:42,719 --> 00:34:46,120
Speaker 2: really always have is capture public attention, get billions of

701
00:34:46,160 --> 00:34:49,520
Speaker 2: dollars in free advertising, control the conversation. And he also

702
00:34:49,560 --> 00:34:52,239
Speaker 2: has some incumbency bias as well, considering he was the

703
00:34:52,280 --> 00:34:55,239
Speaker 2: president previously and everybody in America not only knew his

704
00:34:55,320 --> 00:34:57,600
Speaker 2: name before twenty sixteen, but they definitely know his name

705
00:34:57,880 --> 00:35:00,160
Speaker 2: these days, So that's a bit of a difference. The

706
00:35:00,160 --> 00:35:02,759
Speaker 2: strategy calm on trying to spend her way there, try

707
00:35:02,800 --> 00:35:04,960
Speaker 2: and get herself across the finish line on election day.

708
00:35:05,040 --> 00:35:07,439
Speaker 1: Yeah, I mean that chart really kind of blew my mind,

709
00:35:07,480 --> 00:35:09,640
Speaker 1: to be honest with you, because my recollection of twenty

710
00:35:09,680 --> 00:35:11,759
Speaker 1: sixteen as well was like, oh, Hillary out spent him

711
00:35:11,760 --> 00:35:13,120
Speaker 1: by a ton, and then you look at this and

712
00:35:13,640 --> 00:35:18,839
Speaker 1: it's dwarfed by the amount the Kamala is spending against him.

713
00:35:19,200 --> 00:35:23,040
Speaker 1: And these totals reflect the Harris campaign and the DNC

714
00:35:23,760 --> 00:35:27,000
Speaker 1: versus the Trump campaign and the RNC. Now they are

715
00:35:27,000 --> 00:35:29,399
Speaker 1: obviously not the only players in the election. You also

716
00:35:29,440 --> 00:35:33,800
Speaker 1: have these outside super packs and there the Trump campaign,

717
00:35:33,880 --> 00:35:36,240
Speaker 1: this is another way that they're different from the Harris campaign.

718
00:35:36,480 --> 00:35:39,719
Speaker 1: They're more reliant on these outside groups. This was a

719
00:35:39,760 --> 00:35:42,200
Speaker 1: similar strategy that we saw with like Ron de Santis,

720
00:35:42,239 --> 00:35:44,439
Speaker 1: where he really outsourced a lot of what was even

721
00:35:44,560 --> 00:35:48,840
Speaker 1: traditional campaign like in house work to outside packs. Didn't

722
00:35:48,840 --> 00:35:50,799
Speaker 1: work out that well for him, but doesn't mean it's

723
00:35:50,840 --> 00:35:53,600
Speaker 1: not going to work for Donald Trump. But even when

724
00:35:53,640 --> 00:35:57,400
Speaker 1: you factor in those outside groups, you still have a

725
00:35:57,480 --> 00:36:01,160
Speaker 1: huge disparity on the Democratic side. According to this article,

726
00:36:01,440 --> 00:36:06,000
Speaker 1: when advertising by outside groups is added to the candidate's campaigns,

727
00:36:06,239 --> 00:36:09,640
Speaker 1: Democrats spent about two hundred and twenty five million dollars

728
00:36:09,640 --> 00:36:13,360
Speaker 1: more on paid presidential advertising between the end of the

729
00:36:13,360 --> 00:36:17,120
Speaker 1: Democratic Convention and October fourth. That's about one point eight

730
00:36:17,239 --> 00:36:21,440
Speaker 1: times the amount that was spent by Republicans. So, you know,

731
00:36:21,480 --> 00:36:24,600
Speaker 1: we're going to have a real live experiment here about

732
00:36:24,640 --> 00:36:27,600
Speaker 1: how much money matters in presidential politics.

733
00:36:27,840 --> 00:36:30,240
Speaker 4: Now, based on the political.

734
00:36:29,840 --> 00:36:33,640
Speaker 1: Science of my own sense of how elections go, money

735
00:36:33,680 --> 00:36:36,840
Speaker 1: matters a lot, But it matters the more, Like the

736
00:36:36,880 --> 00:36:39,720
Speaker 1: further you go down the ticket, the more that it matters.

737
00:36:40,000 --> 00:36:42,520
Speaker 1: So you drop a million dollars into some local city

738
00:36:42,560 --> 00:36:45,279
Speaker 1: council race, yeah, that's going to matter a lot, or

739
00:36:45,320 --> 00:36:48,319
Speaker 1: at the congressional level, it matters a lot more since

740
00:36:48,360 --> 00:36:51,640
Speaker 1: you have just like less national media attention less ability to.

741
00:36:51,600 --> 00:36:52,640
Speaker 4: Get earned media.

742
00:36:53,120 --> 00:36:56,560
Speaker 1: Here, you have in Donald Trump someone who is obviously

743
00:36:56,640 --> 00:37:00,200
Speaker 1: a known commodity who can get attention and eyeballs whenever

744
00:37:00,280 --> 00:37:03,400
Speaker 1: he wants to without having to spend a dime. So

745
00:37:03,920 --> 00:37:06,799
Speaker 1: is it determined. It's certainly not determinive here. How much

746
00:37:06,800 --> 00:37:09,600
Speaker 1: of an impact it has even that is yet to

747
00:37:09,640 --> 00:37:11,719
Speaker 1: be seen. And then the other thing they point out

748
00:37:11,800 --> 00:37:14,840
Speaker 1: in this article as well is that you know, Coalma's

749
00:37:14,880 --> 00:37:18,160
Speaker 1: running more of a traditional campaign. They've got field offices

750
00:37:18,160 --> 00:37:20,959
Speaker 1: across the country, They've built out this huge volunteer base.

751
00:37:21,120 --> 00:37:23,080
Speaker 1: You know, they're going door knocking and doing all the

752
00:37:23,120 --> 00:37:26,160
Speaker 1: traditional field work that you associate with a presidential campaign

753
00:37:26,200 --> 00:37:29,000
Speaker 1: and campaigns at all levels. Trump is really not as

754
00:37:29,040 --> 00:37:32,200
Speaker 1: focused on that. He is more focused on the earned

755
00:37:32,239 --> 00:37:36,279
Speaker 1: media on the podcast sphere, on generating attention through his

756
00:37:36,400 --> 00:37:40,480
Speaker 1: own sort of you know, words, deeds, antics, etc. And

757
00:37:40,600 --> 00:37:43,160
Speaker 1: I think the other thing to comment on is he

758
00:37:43,320 --> 00:37:48,640
Speaker 1: used to have such a prolific grassroots fundraising base, but

759
00:37:49,280 --> 00:37:52,520
Speaker 1: he's been hitting that list for almost a decade now,

760
00:37:52,719 --> 00:37:55,520
Speaker 1: and I think there's also some sense of like that

761
00:37:55,520 --> 00:37:58,279
Speaker 1: that base is sort of worn out, and it's not

762
00:37:58,400 --> 00:38:01,520
Speaker 1: just Trump that's been hitting them up for money. It's

763
00:38:01,640 --> 00:38:04,439
Speaker 1: a whole sphere of Trump aligned grifters who are trying

764
00:38:04,440 --> 00:38:04,960
Speaker 1: to sell.

765
00:38:04,800 --> 00:38:07,520
Speaker 4: Them, you know, gold coins and you know, you.

766
00:38:07,440 --> 00:38:11,800
Speaker 1: Build the wall crap, the whole universe of Republican candidates

767
00:38:11,800 --> 00:38:13,520
Speaker 1: also who are trying to hit that list, who are

768
00:38:13,520 --> 00:38:15,880
Speaker 1: trying to you know, trying to get money out of

769
00:38:15,880 --> 00:38:18,720
Speaker 1: them for their campaigns as well. And so I also

770
00:38:18,800 --> 00:38:21,080
Speaker 1: think that they've really kind of burnt that list down,

771
00:38:21,440 --> 00:38:24,600
Speaker 1: and there isn't as much grassroots enthusiasm. When Kamala came

772
00:38:24,640 --> 00:38:28,239
Speaker 1: into Biden had zero Grossroos enthusiasm. Ever, when Kamma came

773
00:38:28,239 --> 00:38:30,920
Speaker 1: into the race, she had a genuine surge of enthusiasm

774
00:38:30,960 --> 00:38:33,400
Speaker 1: on the Democratic side. They brought in a lot of

775
00:38:33,480 --> 00:38:36,280
Speaker 1: new grassroots donors who hadn't given to the party before.

776
00:38:36,640 --> 00:38:39,960
Speaker 1: And so you couple that with the fact that we're

777
00:38:39,960 --> 00:38:42,239
Speaker 1: about to show you in the Economy Block, she's gone

778
00:38:42,239 --> 00:38:44,680
Speaker 1: in this whole like Wall Street charm offensive to try

779
00:38:44,719 --> 00:38:47,520
Speaker 1: to suck up as much Wall Street cash as she can,

780
00:38:47,960 --> 00:38:50,440
Speaker 1: and you've got the makings of we'll see whether it's

781
00:38:50,440 --> 00:38:52,799
Speaker 1: a successful presidential campaign, but it is certainly a very

782
00:38:52,800 --> 00:38:54,640
Speaker 1: successful fundraising campaign.

783
00:38:54,719 --> 00:38:57,239
Speaker 2: My inkling is I don't think money all matters all

784
00:38:57,239 --> 00:38:59,759
Speaker 2: that much past a certain level in a presidential race,

785
00:39:00,040 --> 00:39:03,279
Speaker 2: especially one where Trump is such a polarizing figure. I

786
00:39:03,320 --> 00:39:06,319
Speaker 2: think this probably matters a lot more in congressional and

787
00:39:06,360 --> 00:39:09,600
Speaker 2: incentive races door knocking, ex But just the reason why

788
00:39:09,600 --> 00:39:12,720
Speaker 2: people vote for president is not the same in terms

789
00:39:12,719 --> 00:39:15,080
Speaker 2: of oh, somebody showed up and knocked on my door.

790
00:39:15,120 --> 00:39:16,560
Speaker 3: A lot of those very old school stuff.

791
00:39:16,560 --> 00:39:19,360
Speaker 2: I especially think in a media environment like today, especially

792
00:39:19,360 --> 00:39:21,640
Speaker 2: also why people vote, there's a lot of negative voting,

793
00:39:21,719 --> 00:39:23,960
Speaker 2: as in, I'm voting for this person to prevent the

794
00:39:24,000 --> 00:39:25,799
Speaker 2: other side. I don't think you necessarily need to be

795
00:39:25,840 --> 00:39:28,040
Speaker 2: touched by organizing. But look, I could be totally wrong.

796
00:39:28,080 --> 00:39:30,280
Speaker 2: You know, clearly they do spend hundreds of millions of dollars.

797
00:39:30,320 --> 00:39:32,400
Speaker 2: They don't do it for no reason. It yields something

798
00:39:32,480 --> 00:39:35,560
Speaker 2: to what I'm again, I'm not sure yet. I'm pretty

799
00:39:35,560 --> 00:39:38,280
Speaker 2: sure it's like the Coca Cola experiment, where the absence

800
00:39:38,280 --> 00:39:41,879
Speaker 2: of advertising definitely can be felt, but the actual proactive

801
00:39:42,400 --> 00:39:45,040
Speaker 2: like measurability of each particular ad.

802
00:39:44,840 --> 00:39:47,799
Speaker 3: Dollar doesn't really exist. For this one.

803
00:39:47,840 --> 00:39:49,759
Speaker 2: So I'm not sure. And if Trump does lose, I

804
00:39:49,800 --> 00:39:51,200
Speaker 2: don't think it will be because of money.

805
00:39:51,360 --> 00:39:53,840
Speaker 1: What money doesn't hurt either, Yeah, let me on the

806
00:39:53,880 --> 00:39:55,120
Speaker 1: field program stuff.

807
00:39:55,239 --> 00:39:55,480
Speaker 4: You know.

808
00:39:56,719 --> 00:39:58,960
Speaker 1: I think the best case you can make for it

809
00:39:59,000 --> 00:40:01,879
Speaker 1: is that if you you have people who you've identified

810
00:40:01,960 --> 00:40:04,120
Speaker 1: as like, Okay, these are people who will vote for me,

811
00:40:04,680 --> 00:40:07,040
Speaker 1: but you need to get them to turn out. A

812
00:40:07,080 --> 00:40:10,480
Speaker 1: field program can help to make sure you're banking those votes,

813
00:40:10,520 --> 00:40:13,480
Speaker 1: you're getting the early votes in, you're encouraging people like Okay,

814
00:40:13,480 --> 00:40:16,239
Speaker 1: today's election day. What's your plan? You know you need

815
00:40:16,280 --> 00:40:17,719
Speaker 1: to get to the polls. How are you going to

816
00:40:17,800 --> 00:40:20,160
Speaker 1: do it? And it gives you a better sense of

817
00:40:20,239 --> 00:40:22,480
Speaker 1: kind of where you are because you are tracking all

818
00:40:22,520 --> 00:40:25,240
Speaker 1: of these voters and having direct contact with them to know, Okay,

819
00:40:25,280 --> 00:40:27,319
Speaker 1: are they in our team, are they on the other team?

820
00:40:27,400 --> 00:40:29,960
Speaker 1: Have they voted, have they not voted, et cetera. And

821
00:40:30,040 --> 00:40:33,560
Speaker 1: so the research shows it can move races like a

822
00:40:33,600 --> 00:40:37,840
Speaker 1: point and hey, if you're talking about a really narrow election,

823
00:40:38,120 --> 00:40:40,839
Speaker 1: it could end up making the difference, especially you know,

824
00:40:41,040 --> 00:40:43,160
Speaker 1: maybe in North Carolina where you have all of these

825
00:40:43,239 --> 00:40:46,640
Speaker 1: voting issues. Now in the aftermath of Hurricane Helene being

826
00:40:46,680 --> 00:40:49,920
Speaker 1: able to make contact with these voters and encourage them

827
00:40:49,960 --> 00:40:52,960
Speaker 1: to get to the polls, it can potentially make a difference.

828
00:40:53,520 --> 00:40:53,759
Speaker 4: You know.

829
00:40:54,000 --> 00:40:56,480
Speaker 1: I am also very skeptical at how much the paid

830
00:40:56,719 --> 00:41:00,239
Speaker 1: on TV advertisements. Consultants love them because that's what they

831
00:41:00,239 --> 00:41:03,399
Speaker 1: make all their money. So the conventional wisdom about them

832
00:41:03,440 --> 00:41:07,040
Speaker 1: really mattering has not been shaken because of how much

833
00:41:07,080 --> 00:41:09,080
Speaker 1: money is being made on all of them. But at

834
00:41:09,080 --> 00:41:12,440
Speaker 1: the presidential level in particular, I don't know how much

835
00:41:12,440 --> 00:41:15,040
Speaker 1: your people watching the TV and like really going, oh,

836
00:41:15,080 --> 00:41:16,480
Speaker 1: that's a good point. Now I'm going to vote for

837
00:41:16,520 --> 00:41:19,719
Speaker 1: Kamala Harris. It's just hard for me to imagine. Maybe

838
00:41:19,719 --> 00:41:21,759
Speaker 1: it makes the difference, but it's difficult for me to

839
00:41:21,760 --> 00:41:24,640
Speaker 1: see people really like making up their minds based on

840
00:41:24,640 --> 00:41:27,960
Speaker 1: this flood of advertising that's hitting them in the face

841
00:41:28,000 --> 00:41:30,279
Speaker 1: every time that their favorite show goes to commercial break.

842
00:41:30,360 --> 00:41:30,880
Speaker 3: I agree.

843
00:41:33,239 --> 00:41:34,759
Speaker 2: I wanted to make sure we got you guys all

844
00:41:34,840 --> 00:41:37,279
Speaker 2: an update on that Port strike. Let's go ahead and

845
00:41:37,280 --> 00:41:40,279
Speaker 2: put this up there on the screen. Interesting development. The

846
00:41:40,320 --> 00:41:43,080
Speaker 2: port strike has ended for now as the workers have

847
00:41:43,120 --> 00:41:46,799
Speaker 2: agreed to a tentative deal on wages and contract extensions.

848
00:41:46,840 --> 00:41:49,520
Speaker 3: So let me explain, because it is kind of complicated.

849
00:41:49,600 --> 00:41:53,399
Speaker 2: Basically, the two sides have extended their existing contract through

850
00:41:53,560 --> 00:41:58,080
Speaker 2: January fifteenth to provide time to negotiate a new contract

851
00:41:58,160 --> 00:42:01,520
Speaker 2: as opposed to a strike that would completely closed the

852
00:42:01,560 --> 00:42:05,200
Speaker 2: East Coast and the Gulf Coast ports. After the International

853
00:42:05,239 --> 00:42:08,640
Speaker 2: Longshoreman's Association and the US Maritime Alliance have agreed to

854
00:42:08,719 --> 00:42:11,319
Speaker 2: that tentative deal. So I don't think it takes a

855
00:42:11,360 --> 00:42:14,560
Speaker 2: genius to see that January fifteenth is when, oh, right

856
00:42:14,640 --> 00:42:18,799
Speaker 2: after election Day. It's also five days before Inauguration Day, Okay.

857
00:42:18,640 --> 00:42:19,000
Speaker 3: Got it.

858
00:42:19,440 --> 00:42:22,319
Speaker 2: So clearly there was some major political pressure that was

859
00:42:22,360 --> 00:42:25,239
Speaker 2: put down on the Longshorm, and there were a lot

860
00:42:25,320 --> 00:42:30,080
Speaker 2: of takes about how either they were betraying Biden or

861
00:42:30,080 --> 00:42:33,880
Speaker 2: about how they were in collusion with Trump, when in reality,

862
00:42:34,000 --> 00:42:36,839
Speaker 2: it looks like they were in it for themselves to

863
00:42:36,880 --> 00:42:39,319
Speaker 2: try and get a raised, which is aka their job,

864
00:42:39,440 --> 00:42:41,640
Speaker 2: as the opinion what they were.

865
00:42:41,800 --> 00:42:42,399
Speaker 3: Trying to do.

866
00:42:42,480 --> 00:42:45,200
Speaker 2: But all of the doom and gloom crystal has officially

867
00:42:45,200 --> 00:42:48,920
Speaker 2: been allayed until January fifteenth, whenever it appears that some

868
00:42:48,960 --> 00:42:52,320
Speaker 2: sort of deal will be negotiated. So I think, if anything,

869
00:42:52,400 --> 00:42:54,520
Speaker 2: what this does most damage to is all the take

870
00:42:54,640 --> 00:42:55,480
Speaker 2: economy that was.

871
00:42:56,160 --> 00:42:57,719
Speaker 4: There were so many economy took it.

872
00:42:57,760 --> 00:42:58,799
Speaker 3: There were so many takes.

873
00:42:58,880 --> 00:42:59,680
Speaker 4: I don't know if you guys.

874
00:42:59,520 --> 00:43:02,239
Speaker 1: Thought there were a lot of like a liberal conspiracy

875
00:43:02,480 --> 00:43:07,200
Speaker 1: about how the head of the longshoreman union is buddies

876
00:43:07,200 --> 00:43:10,359
Speaker 1: with Trump. So this was like, you know, seeing as

877
00:43:10,360 --> 00:43:13,960
Speaker 1: some attempt to screw over Kamala Harris specifically. I was

878
00:43:14,000 --> 00:43:16,239
Speaker 1: always skeptical of this because also the longshoreman like they

879
00:43:16,320 --> 00:43:17,640
Speaker 1: endorsed Kamala Harris.

880
00:43:17,680 --> 00:43:20,680
Speaker 4: Yeah, I know, so they you know, are officially behind her.

881
00:43:20,719 --> 00:43:25,120
Speaker 1: But in addition, it's worth noting so in this temporary agreement,

882
00:43:25,400 --> 00:43:28,520
Speaker 1: they've already secured a significant wage increase. Their wages are

883
00:43:28,520 --> 00:43:31,479
Speaker 1: going to rise sixty one point five percent over six

884
00:43:31,560 --> 00:43:34,239
Speaker 1: years under this tentative agreement. The piece that seems like

885
00:43:34,280 --> 00:43:36,080
Speaker 1: it still really needs to be worked out, which is

886
00:43:36,120 --> 00:43:39,439
Speaker 1: a very critical one, is about automation, because a lot

887
00:43:39,520 --> 00:43:43,440
Speaker 1: of the longshoreman's jobs are being automated out of existence.

888
00:43:43,480 --> 00:43:47,200
Speaker 1: I think it's one of the primary areas of automation innovation,

889
00:43:47,760 --> 00:43:51,399
Speaker 1: So that remains to be worked out. I also think

890
00:43:51,560 --> 00:43:53,120
Speaker 1: you have to give the Biden administration a lot of

891
00:43:53,120 --> 00:43:56,040
Speaker 1: credit for how they handled this. Joe Biden himself was

892
00:43:56,120 --> 00:43:59,439
Speaker 1: quite clear coming down in multiple statements on the side

893
00:43:59,440 --> 00:44:02,440
Speaker 1: of the worker. There was a push from Republicans in Congress,

894
00:44:02,440 --> 00:44:05,920
Speaker 1: in particular, to get him to invoke Taft Hartley to

895
00:44:06,120 --> 00:44:09,560
Speaker 1: block any sort of strike activity and first force these

896
00:44:09,600 --> 00:44:10,840
Speaker 1: workers back to work.

897
00:44:11,040 --> 00:44:12,200
Speaker 4: He said, absolutely not.

898
00:44:12,920 --> 00:44:15,880
Speaker 1: You had Pete mayor Pete working behind the scenes, but

899
00:44:15,920 --> 00:44:20,200
Speaker 1: also most critically Biden administration acting Labor Secretary Julie Sue,

900
00:44:20,520 --> 00:44:23,960
Speaker 1: the Long Sharman's Union, you know, thanked her directly for

901
00:44:24,120 --> 00:44:26,080
Speaker 1: her work on their behalf to try to secure this

902
00:44:26,160 --> 00:44:29,160
Speaker 1: tentative agreement. So in any case, you know, this had

903
00:44:29,160 --> 00:44:32,880
Speaker 1: a potential to be an absolute sort of catastrophe and nightmare.

904
00:44:33,120 --> 00:44:35,400
Speaker 1: We played for you some of the quite striking and

905
00:44:35,480 --> 00:44:38,560
Speaker 1: quite militant in a way that I appreciate comments from

906
00:44:38,600 --> 00:44:41,799
Speaker 1: the head of this union saying listen, we will cripple you.

907
00:44:42,680 --> 00:44:45,400
Speaker 1: And he's not wrong. You know, so much of our

908
00:44:45,440 --> 00:44:50,600
Speaker 1: commerce depends on these ports working effectively, working efficiently. We

909
00:44:50,640 --> 00:44:52,560
Speaker 1: saw what happened in COVID when you had the ports

910
00:44:52,560 --> 00:44:54,920
Speaker 1: screwed up and the backlog and all of the rippling

911
00:44:54,960 --> 00:44:56,760
Speaker 1: effects that it took years.

912
00:44:56,560 --> 00:44:58,040
Speaker 4: To overcome from that.

913
00:44:58,280 --> 00:45:01,399
Speaker 1: So it's good news in my pay for everyone, that

914
00:45:01,800 --> 00:45:03,799
Speaker 1: they were able to secure this tenet of agreement, they're

915
00:45:03,840 --> 00:45:05,480
Speaker 1: able to get these wage hikes, and let's hope that

916
00:45:05,520 --> 00:45:07,280
Speaker 1: they also are able to secure a good deal.

917
00:45:07,120 --> 00:45:08,360
Speaker 4: When it comes to automation.

918
00:45:08,480 --> 00:45:08,680
Speaker 3: Yeah.

919
00:45:08,680 --> 00:45:12,680
Speaker 2: It also it highlights some interesting union politics around them, because,

920
00:45:12,920 --> 00:45:16,080
Speaker 2: like I said, it was clear that there was a significant,

921
00:45:16,160 --> 00:45:19,880
Speaker 2: especially elite and democratic backlash against them when it looked

922
00:45:20,200 --> 00:45:23,120
Speaker 2: like they were going to strike, with a lot of

923
00:45:23,120 --> 00:45:26,400
Speaker 2: those calls Biden's called, notwithstanding a lot of the commentarya

924
00:45:26,480 --> 00:45:26,839
Speaker 2: being like.

925
00:45:26,760 --> 00:45:29,360
Speaker 3: They're deliberately trying to destroy Biden.

926
00:45:29,480 --> 00:45:32,359
Speaker 2: On the flip side of that, and some insight into

927
00:45:32,520 --> 00:45:35,360
Speaker 2: union politics, let's put this up there on the screen.

928
00:45:35,440 --> 00:45:40,120
Speaker 2: The International Association of Firefighters on Thursday said it would

929
00:45:40,120 --> 00:45:43,880
Speaker 2: not make a presidential endorsement in what was quote viewed

930
00:45:43,920 --> 00:45:46,919
Speaker 2: as a blow to Kamala Harris's campaign. The union, which

931
00:45:46,960 --> 00:45:50,080
Speaker 2: represents three hundred thousand career firefighters, determined quote by a

932
00:45:50,120 --> 00:45:54,280
Speaker 2: margin of one point two percent, slim margin obviously against

933
00:45:54,320 --> 00:45:56,600
Speaker 2: picking a candidate. The reason why I think this is

934
00:45:56,600 --> 00:45:58,440
Speaker 2: so significant, Chris, I'm not sure if you remember this.

935
00:45:58,520 --> 00:45:59,279
Speaker 3: We interviewed the.

936
00:45:59,280 --> 00:46:03,120
Speaker 2: President of the International Association of Firefighters the day that

937
00:46:03,200 --> 00:46:06,680
Speaker 2: Joe Biden came out with his candidacy, and it was

938
00:46:06,760 --> 00:46:10,319
Speaker 2: because he was the first union to come out and

939
00:46:10,400 --> 00:46:11,480
Speaker 2: to endorse Joe Biden.

940
00:46:11,520 --> 00:46:12,200
Speaker 3: They loved Biden.

941
00:46:12,239 --> 00:46:14,680
Speaker 2: Naden where the very first union to come out and

942
00:46:14,719 --> 00:46:18,920
Speaker 2: to back him previously earlier this year, I think jd.

943
00:46:19,120 --> 00:46:22,440
Speaker 2: Vance visited the firefighters union conference.

944
00:46:22,480 --> 00:46:25,560
Speaker 3: I think it was in Boston. Got food, Okay, well

945
00:46:26,400 --> 00:46:30,319
Speaker 3: didn't so maybe it worked out for him, So I

946
00:46:30,320 --> 00:46:32,080
Speaker 3: think it. I think there's a lot.

947
00:46:31,960 --> 00:46:34,000
Speaker 4: Going on here. There is. There is a lot going

948
00:46:34,040 --> 00:46:34,479
Speaker 4: on here.

949
00:46:34,560 --> 00:46:37,560
Speaker 1: I mean from a policy perspective, it obviously makes zero

950
00:46:37,719 --> 00:46:40,280
Speaker 1: sense that you would endorse Joe Biden not endorse Kamala

951
00:46:40,280 --> 00:46:42,839
Speaker 1: Harris when they have literally the exact same policy when

952
00:46:42,880 --> 00:46:46,680
Speaker 1: it comes to unions. And Kamala Harris has been very

953
00:46:46,719 --> 00:46:50,960
Speaker 1: consistent pro union throughout her career. So you know, if

954
00:46:50,960 --> 00:46:53,800
Speaker 1: you look at certainly looking at her time in the Senate,

955
00:46:54,360 --> 00:46:56,840
Speaker 1: looking at her you know, being part of the Biden

956
00:46:56,880 --> 00:46:59,680
Speaker 1: Harris administration, this is the most pro union. Not that

957
00:46:59,719 --> 00:47:01,880
Speaker 1: they were perfect, they were not perfect, especially when it

958
00:47:01,880 --> 00:47:04,640
Speaker 1: came to the railway strike. This is definitely the most

959
00:47:04,680 --> 00:47:09,320
Speaker 1: pro union administration that we have had in our lifetime

960
00:47:09,400 --> 00:47:13,440
Speaker 1: in the modern era, and so to be willing to

961
00:47:13,520 --> 00:47:16,160
Speaker 1: endorse Joe Biden but not Kamala Harris, Like, it's just

962
00:47:16,360 --> 00:47:20,040
Speaker 1: about basically vibes and their sense that their membership is less,

963
00:47:20,120 --> 00:47:23,319
Speaker 1: has less affinity for her, likes her less than they

964
00:47:23,440 --> 00:47:24,640
Speaker 1: liked Joe Biden.

965
00:47:24,960 --> 00:47:27,520
Speaker 4: And it also is a blow to this.

966
00:47:27,920 --> 00:47:30,480
Speaker 1: You know, political theory that I would like to believe

967
00:47:30,560 --> 00:47:33,680
Speaker 1: was a reality of quote unquote deliverism, where if you

968
00:47:34,040 --> 00:47:37,319
Speaker 1: deliver for a constituency in terms of their you know,

969
00:47:37,400 --> 00:47:41,120
Speaker 1: their direct interests, that you were going to benefit from that.

970
00:47:41,400 --> 00:47:45,879
Speaker 1: And you know, again this was a very pro union administration.

971
00:47:46,200 --> 00:47:50,400
Speaker 1: Trump was very anti union in his administration. You know,

972
00:47:50,440 --> 00:47:52,239
Speaker 1: it is unwilling to move forward on things like the

973
00:47:52,280 --> 00:47:54,879
Speaker 1: pro Act, and yet they still can't figure out who

974
00:47:54,920 --> 00:47:56,160
Speaker 1: to endorse in this race.

975
00:47:56,320 --> 00:47:58,279
Speaker 4: So there you go. Well, look doesn't make a lot

976
00:47:58,320 --> 00:47:58,600
Speaker 4: of sense.

977
00:47:58,640 --> 00:47:59,800
Speaker 3: It's up to the membership.

978
00:47:59,840 --> 00:48:02,560
Speaker 2: And that's why I'm saying, like it's obvious now that

979
00:48:02,600 --> 00:48:05,040
Speaker 2: the divide. I mean this, Look, I agree with you deliverism.

980
00:48:05,040 --> 00:48:06,440
Speaker 2: I'd like for it to be a thing, but it's not.

981
00:48:06,560 --> 00:48:09,360
Speaker 2: I mean, it's clear that we are ruled mostly by culture,

982
00:48:09,400 --> 00:48:12,359
Speaker 2: and with these you actually had I believe Tim Walls

983
00:48:12,400 --> 00:48:15,239
Speaker 2: spoke at that event as well, but both of the

984
00:48:15,280 --> 00:48:18,080
Speaker 2: candidates courting them specifically on the Republican side. I do

985
00:48:18,120 --> 00:48:20,600
Speaker 2: think it's kind of vindicating, you know, for inviting Sean O'Brien,

986
00:48:20,800 --> 00:48:23,439
Speaker 2: who ended up not endorsing anybody in the presidential race,

987
00:48:23,480 --> 00:48:26,160
Speaker 2: and for jd going to the firefighters union where Joe

988
00:48:26,160 --> 00:48:27,799
Speaker 2: Biden was there. Sure, you know, a couple of people

989
00:48:27,800 --> 00:48:29,560
Speaker 2: in the back man boot him, but them not coming

990
00:48:29,600 --> 00:48:31,560
Speaker 2: out and endorsing Biden.

991
00:48:31,640 --> 00:48:33,399
Speaker 3: I mean, sorry, Harris, that's a big deal.

992
00:48:33,640 --> 00:48:36,880
Speaker 2: And especially with two of those major those two of

993
00:48:36,920 --> 00:48:39,920
Speaker 2: those major unions now not entering the fray, that is

994
00:48:39,960 --> 00:48:42,239
Speaker 2: a major change in union politics.

995
00:48:42,239 --> 00:48:44,240
Speaker 3: Those are two of the I mean, three hundred thousand

996
00:48:44,239 --> 00:48:45,440
Speaker 3: people is huge.

997
00:48:45,520 --> 00:48:48,480
Speaker 2: Obviously, police unions have been pro Republican now for a

998
00:48:48,560 --> 00:48:49,600
Speaker 2: decade or yeah, but.

999
00:48:50,000 --> 00:48:52,560
Speaker 4: When you combine special special situation.

1000
00:48:52,239 --> 00:48:52,960
Speaker 3: It's complicated.

1001
00:48:53,239 --> 00:48:55,840
Speaker 2: So it's like police union's on the right, teachers' unions

1002
00:48:55,920 --> 00:48:57,799
Speaker 2: and most of the other unions on the left. But

1003
00:48:57,880 --> 00:49:01,360
Speaker 2: this whole new just not endorsing does show you that

1004
00:49:01,400 --> 00:49:04,279
Speaker 2: it's the membership itself which is trending in a very

1005
00:49:04,280 --> 00:49:07,759
Speaker 2: different direction. And it fits with that CNN clip that

1006
00:49:07,800 --> 00:49:10,880
Speaker 2: we did in our last show about the historic rise

1007
00:49:10,920 --> 00:49:13,680
Speaker 2: in some of the working class support for Donald Trump

1008
00:49:13,760 --> 00:49:17,280
Speaker 2: and specifically about where the issues of disagreement are. Almost

1009
00:49:17,320 --> 00:49:19,440
Speaker 2: certainly if you were to survey these people, immigration is

1010
00:49:19,440 --> 00:49:20,759
Speaker 2: gonna be the number one reason.

1011
00:49:20,719 --> 00:49:22,200
Speaker 3: That a lot of them are pro Trump.

1012
00:49:22,280 --> 00:49:25,200
Speaker 2: Just to show what the dividing line is between those people,

1013
00:49:25,239 --> 00:49:28,080
Speaker 2: and also, you know, in terms of how they view

1014
00:49:28,400 --> 00:49:31,120
Speaker 2: what they can get in the future, because the theory

1015
00:49:31,160 --> 00:49:35,000
Speaker 2: I've seen too is, yeah, look, Trump one point zero

1016
00:49:35,000 --> 00:49:37,120
Speaker 2: wasn't great for unions, but this time around, by not

1017
00:49:37,200 --> 00:49:39,600
Speaker 2: endorsing which Trump sees as the victory right, especially for

1018
00:49:39,640 --> 00:49:42,440
Speaker 2: teamsters and for firefighters here, they think that maybe they

1019
00:49:42,440 --> 00:49:43,600
Speaker 2: can curry favor with him.

1020
00:49:43,800 --> 00:49:44,960
Speaker 3: And perhaps it's a sigment.

1021
00:49:45,360 --> 00:49:47,719
Speaker 2: It's a signal that they think that Trump may be

1022
00:49:47,800 --> 00:49:50,120
Speaker 2: the person who's in the White House next time around,

1023
00:49:50,239 --> 00:49:52,160
Speaker 2: that they can get something out of him last next time,

1024
00:49:52,239 --> 00:49:54,600
Speaker 2: especially if you spoke at the RNC or not endorsing

1025
00:49:54,600 --> 00:49:56,560
Speaker 2: Biden when you were the first union to do so.

1026
00:49:56,640 --> 00:49:58,680
Speaker 2: Obviously it's a risky theory, but yeah, yeah, which.

1027
00:49:58,600 --> 00:50:00,759
Speaker 1: Just say good luck for that if you think that

1028
00:50:00,840 --> 00:50:03,200
Speaker 1: the second administration, I mean, this is a lifelong union

1029
00:50:03,200 --> 00:50:06,239
Speaker 1: investor he's still going on with the Elon musk and

1030
00:50:06,360 --> 00:50:08,239
Speaker 1: joking about how cool it was for him to fire

1031
00:50:08,280 --> 00:50:11,520
Speaker 1: striking workers. He's still going on and on about how

1032
00:50:11,560 --> 00:50:13,719
Speaker 1: he would do anything to get out of paying overtime

1033
00:50:13,800 --> 00:50:16,360
Speaker 1: to workers, Like that's who he is. To the extent

1034
00:50:16,360 --> 00:50:19,040
Speaker 1: that he has any core ideological commitments, this has been

1035
00:50:19,040 --> 00:50:21,799
Speaker 1: a pretty consistent one. So you know, if you think

1036
00:50:21,840 --> 00:50:24,480
Speaker 1: that you not endorsing is going to lead you to

1037
00:50:24,520 --> 00:50:27,640
Speaker 1: getting some favoritism under his administration, like, just good luck

1038
00:50:27,640 --> 00:50:27,840
Speaker 1: with that.

1039
00:50:28,120 --> 00:50:29,480
Speaker 3: Maybe maybe they're right. I don't know.

1040
00:50:29,760 --> 00:50:31,920
Speaker 2: I still think that things could change in the second

1041
00:50:31,920 --> 00:50:34,400
Speaker 2: time around, but perhaps I'm too much of an optimist.

1042
00:50:34,600 --> 00:50:36,960
Speaker 2: Let's go to the next part here on the economy.

1043
00:50:37,320 --> 00:50:41,120
Speaker 2: This is with Heather Long reporting about the strong jobs report.

1044
00:50:41,160 --> 00:50:43,840
Speaker 2: Let's put this up there on the screen. Very interesting data.

1045
00:50:43,960 --> 00:50:46,319
Speaker 2: The US economy has added two hundred and fifty four

1046
00:50:46,360 --> 00:50:51,200
Speaker 2: thousand jobs in September, above expectations, a major bounce from August.

1047
00:50:51,480 --> 00:50:55,080
Speaker 2: Unemployment rate is now down to four point one percent.

1048
00:50:55,520 --> 00:50:58,800
Speaker 2: This is interesting just because this is right before the election,

1049
00:50:58,920 --> 00:51:01,759
Speaker 2: and it does show there are signals that people are

1050
00:51:01,800 --> 00:51:04,760
Speaker 2: feeling a little bit differently about the economy as opposed

1051
00:51:04,760 --> 00:51:08,520
Speaker 2: to let's say twenty twenty one. That's especially indicated in

1052
00:51:08,560 --> 00:51:11,000
Speaker 2: this Cook political report. Let's put that next one up,

1053
00:51:11,040 --> 00:51:14,799
Speaker 2: please on the screen. It shows that Trump actually led

1054
00:51:15,160 --> 00:51:18,520
Speaker 2: Harris on inflation and cost of living from forty eight

1055
00:51:18,560 --> 00:51:22,759
Speaker 2: to forty two. Today, voters are more evenly divided on

1056
00:51:22,800 --> 00:51:25,799
Speaker 2: who they trust to handle the issue. The tariff plan,

1057
00:51:25,960 --> 00:51:28,280
Speaker 2: they said forty five percent of companies said that import

1058
00:51:28,320 --> 00:51:31,560
Speaker 2: goods would quote increase the price consumers pay for the tariff.

1059
00:51:31,760 --> 00:51:32,319
Speaker 3: VOTERSZ YOUO.

1060
00:51:32,320 --> 00:51:35,160
Speaker 2: On the economy are quote improving a bit? Forty six

1061
00:51:35,200 --> 00:51:37,720
Speaker 2: percent now say the economy is getting better or staying

1062
00:51:37,719 --> 00:51:40,239
Speaker 2: the same, which is up thirty eight percent from May,

1063
00:51:41,040 --> 00:51:44,200
Speaker 2: and then quote young people are the most pessimistic about

1064
00:51:44,239 --> 00:51:44,800
Speaker 2: the economy.

1065
00:51:44,840 --> 00:51:45,920
Speaker 3: Amongst the youngest.

1066
00:51:45,640 --> 00:51:49,120
Speaker 2: Cohort of voters, sixty three percent think inflation is getting worse.

1067
00:51:49,160 --> 00:51:52,720
Speaker 2: So some insights, I think where you could get from

1068
00:51:52,800 --> 00:51:55,480
Speaker 2: this are not only on the economy but about the

1069
00:51:55,600 --> 00:51:57,759
Speaker 2: edge of the economy. So it's not a good thing

1070
00:51:57,880 --> 00:52:00,920
Speaker 2: if the Trump margin is not bigger with the economy,

1071
00:52:00,920 --> 00:52:03,879
Speaker 2: because that always was a major advantage for him. At

1072
00:52:03,920 --> 00:52:06,359
Speaker 2: the same time, with the jobs report and all, it's

1073
00:52:06,360 --> 00:52:09,920
Speaker 2: always difficult to parse, especially with wage data and all

1074
00:52:10,000 --> 00:52:12,319
Speaker 2: of this because the unemployment rate has been low for

1075
00:52:12,360 --> 00:52:15,120
Speaker 2: quite some time, they've been beating jobs expectations and all

1076
00:52:15,160 --> 00:52:17,719
Speaker 2: of that. But clearly people's experience of the economy and

1077
00:52:17,760 --> 00:52:20,719
Speaker 2: even of inflation and their memories of the last couple

1078
00:52:20,760 --> 00:52:23,840
Speaker 2: of years have really weighed them down, I think correctly,

1079
00:52:23,880 --> 00:52:26,400
Speaker 2: and I don't think this also factors in, for example,

1080
00:52:26,560 --> 00:52:29,120
Speaker 2: housing and a lot of the other structural problems. So

1081
00:52:29,160 --> 00:52:31,279
Speaker 2: I'm of like two minds of the way to look

1082
00:52:31,320 --> 00:52:32,880
Speaker 2: at it. And this is part of the other problem

1083
00:52:32,960 --> 00:52:35,759
Speaker 2: with there's this huge war amongst economists right now but

1084
00:52:35,800 --> 00:52:38,400
Speaker 2: whether the economy is good or bad, and my general

1085
00:52:38,400 --> 00:52:40,719
Speaker 2: instinct is just to trust people whenever people are like

1086
00:52:40,920 --> 00:52:44,239
Speaker 2: it's okay. Basically rich people people with assets and others

1087
00:52:44,320 --> 00:52:47,760
Speaker 2: are like, yeah, I'm feeling better now. The younger voters

1088
00:52:47,800 --> 00:52:50,280
Speaker 2: who are most locked out are like, I'm not happy

1089
00:52:50,280 --> 00:52:52,640
Speaker 2: about this at all, And poor and or middle class

1090
00:52:52,640 --> 00:52:54,680
Speaker 2: people are like, yeah, it's getting better ish, But I

1091
00:52:54,760 --> 00:52:57,000
Speaker 2: wasn't very I haven't been very happy over the last

1092
00:52:57,000 --> 00:52:57,640
Speaker 2: couple of years.

1093
00:52:57,719 --> 00:52:59,879
Speaker 1: I would love to see the divide on economic pop

1094
00:53:00,280 --> 00:53:05,000
Speaker 1: pessimism between homeowners and not because I do think housing

1095
00:53:05,280 --> 00:53:08,040
Speaker 1: is I mean it is a big part of why

1096
00:53:08,080 --> 00:53:11,160
Speaker 1: people feel so dissatisfied with the economy in the direction

1097
00:53:11,239 --> 00:53:13,319
Speaker 1: of the economy, and so it makes sense that young

1098
00:53:13,400 --> 00:53:17,120
Speaker 1: voters would be the most pessimistic about where the economy stands,

1099
00:53:17,440 --> 00:53:19,960
Speaker 1: and you know, would have the most negative feelings because

1100
00:53:20,120 --> 00:53:23,439
Speaker 1: they're more likely to not be homeowners and they are

1101
00:53:23,560 --> 00:53:26,799
Speaker 1: more likely to be you know, getting gouged by landlords

1102
00:53:26,800 --> 00:53:29,960
Speaker 1: who are using these algorithms to like price fix and

1103
00:53:30,160 --> 00:53:32,680
Speaker 1: you know, getting screwed on rent prices, and then they're

1104
00:53:32,719 --> 00:53:35,240
Speaker 1: looking and thinking like, I'm never going to be able

1105
00:53:35,280 --> 00:53:37,960
Speaker 1: to own a home, and these prices just keep escalating

1106
00:53:37,960 --> 00:53:41,839
Speaker 1: and escalating and escalating out of control. That cost of

1107
00:53:41,880 --> 00:53:44,480
Speaker 1: housing is so central to my whole budget. Like, no,

1108
00:53:44,560 --> 00:53:46,480
Speaker 1: of course, I don't feel like the economy is great.

1109
00:53:46,760 --> 00:53:48,520
Speaker 1: So I do feel like that is one of the

1110
00:53:48,600 --> 00:53:51,239
Speaker 1: central continues to be one of the central divides in

1111
00:53:51,360 --> 00:53:53,799
Speaker 1: our economy, in our society, and also one of the

1112
00:53:53,840 --> 00:53:57,080
Speaker 1: central pain points for everyone up and down the spectrum.

1113
00:53:57,160 --> 00:53:58,840
Speaker 4: But if you're not a homeowner in.

1114
00:53:58,719 --> 00:54:02,360
Speaker 1: Particular, that is a massive pain point, you know. Going

1115
00:54:02,400 --> 00:54:05,520
Speaker 1: back to the politics, I do think these numbers are

1116
00:54:05,680 --> 00:54:08,680
Speaker 1: significant that Kamala has a raced Trump had a huge

1117
00:54:08,760 --> 00:54:11,240
Speaker 1: lead on inflation when it came to Joe Biden. People,

1118
00:54:11,320 --> 00:54:14,440
Speaker 1: even though Kamala's policies aren't really all that different from

1119
00:54:14,560 --> 00:54:17,600
Speaker 1: Joe Biden, people feel like she's different, feel like she

1120
00:54:17,640 --> 00:54:19,640
Speaker 1: would be better on the economy than he would be,

1121
00:54:19,719 --> 00:54:21,160
Speaker 1: you know, at least she's sent to And I guess

1122
00:54:21,160 --> 00:54:22,200
Speaker 1: that's part of it as well.

1123
00:54:22,440 --> 00:54:24,680
Speaker 4: So the fact she's a racist lead there is important.

1124
00:54:24,840 --> 00:54:27,680
Speaker 1: The fact she's even cut his lead on the economy

1125
00:54:27,680 --> 00:54:30,319
Speaker 1: overall down to five points is also, I think quite

1126
00:54:30,320 --> 00:54:34,160
Speaker 1: significant because that has always been one of the strongest issues.

1127
00:54:34,440 --> 00:54:36,840
Speaker 1: And I would say, you know, whatever you think about

1128
00:54:36,920 --> 00:54:39,200
Speaker 1: Ascager and I have a disagreement about Trump's tariff plan.

1129
00:54:39,280 --> 00:54:41,239
Speaker 1: He's in support of that across the board tariff. I'm

1130
00:54:41,280 --> 00:54:42,719
Speaker 1: very much opposed. I think it's sort of, you know,

1131
00:54:42,840 --> 00:54:47,000
Speaker 1: economic insanity. It would certainly escalate the price of consumer goods,

1132
00:54:47,040 --> 00:54:49,480
Speaker 1: you know, kind of across the board. How much is

1133
00:54:49,480 --> 00:54:51,840
Speaker 1: a matter of some debate. But I think that's a

1134
00:54:52,000 --> 00:54:54,120
Speaker 1: very strong message for her. I think they should be

1135
00:54:54,200 --> 00:54:58,040
Speaker 1: running a lot of ads, apparently, focus groups coming out

1136
00:54:58,080 --> 00:55:00,960
Speaker 1: of her debate with Donald Trump said, in terms of

1137
00:55:00,960 --> 00:55:03,920
Speaker 1: her economic pitch, the thing that hit the best was

1138
00:55:03,960 --> 00:55:07,200
Speaker 1: her describing his tariffs as the Trump Tax and talking

1139
00:55:07,239 --> 00:55:09,480
Speaker 1: about how it would increase the price of goods.

1140
00:55:09,800 --> 00:55:11,080
Speaker 4: It reminds me of Tiger. I don't know.

1141
00:55:11,080 --> 00:55:14,080
Speaker 1: You've probably seen these commercials that for Republicans who support

1142
00:55:14,080 --> 00:55:16,200
Speaker 1: the quote unquote flat tax, which would just.

1143
00:55:16,239 --> 00:55:18,120
Speaker 4: Get rid of the income tax, but then you get.

1144
00:55:18,000 --> 00:55:20,640
Speaker 1: Tax more on everything you buy at the grocery store.

1145
00:55:20,800 --> 00:55:23,320
Speaker 1: I've seen these very effective ads at the congressional level

1146
00:55:23,520 --> 00:55:26,120
Speaker 1: where it's somebody like going through the grocery store shopping

1147
00:55:26,320 --> 00:55:28,840
Speaker 1: and showing how much the price of goods will increase

1148
00:55:28,880 --> 00:55:32,040
Speaker 1: on every single purchase. Some of the most devastating and

1149
00:55:32,040 --> 00:55:34,680
Speaker 1: effective ads that I think I've honestly ever seen. So

1150
00:55:34,840 --> 00:55:37,279
Speaker 1: if she wants to continue sort of building on now

1151
00:55:37,280 --> 00:55:39,720
Speaker 1: she's even with him, I think they should be hitting

1152
00:55:39,719 --> 00:55:42,600
Speaker 1: that over and over and over again, because you know,

1153
00:55:42,719 --> 00:55:45,000
Speaker 1: the biggest issue that people have in the economy right

1154
00:55:45,040 --> 00:55:48,000
Speaker 1: now is high prices. So if you're explaining to people

1155
00:55:48,080 --> 00:55:50,960
Speaker 1: like he's going to make things worse with this policy,

1156
00:55:51,719 --> 00:55:53,560
Speaker 1: I think it would. I think it's very politically, but

1157
00:55:53,640 --> 00:55:55,080
Speaker 1: that's what It doesn't make any sense.

1158
00:55:55,120 --> 00:55:58,920
Speaker 2: Her administration and Biden have expanded more tariffs than Donald

1159
00:55:58,960 --> 00:56:03,160
Speaker 2: Trump did while in office, so clearly they philosophically support tariffs.

1160
00:56:03,160 --> 00:56:05,120
Speaker 2: The reason that the prices are high right now is

1161
00:56:05,120 --> 00:56:07,719
Speaker 2: because of the global supply chain. The reason why we

1162
00:56:07,760 --> 00:56:11,360
Speaker 2: need tariffs is specifically to build up domestic manufacturing. So

1163
00:56:11,719 --> 00:56:13,520
Speaker 2: I don't I just don't think it falls apart in

1164
00:56:13,560 --> 00:56:16,600
Speaker 2: my opinion, how long is actual analysis.

1165
00:56:16,040 --> 00:56:20,000
Speaker 1: Having selective tariffs on industries that you know you want

1166
00:56:20,000 --> 00:56:22,719
Speaker 1: to build up like that makes sense. Having tariffs on

1167
00:56:22,840 --> 00:56:25,640
Speaker 1: like bananas and coffee makes no sense.

1168
00:56:25,719 --> 00:56:28,600
Speaker 4: And even if you want to, I mean certain.

1169
00:56:28,320 --> 00:56:31,040
Speaker 1: Industries like we're just not well suited, like our climate

1170
00:56:31,120 --> 00:56:34,360
Speaker 1: is not particularly well suited to And also a big

1171
00:56:34,400 --> 00:56:37,719
Speaker 1: part of our manufacturing sector is advanced manufacturing, where you

1172
00:56:37,840 --> 00:56:41,600
Speaker 1: require parts from overseas in order to you know, build

1173
00:56:41,600 --> 00:56:44,600
Speaker 1: and assemble that final product. So now you're talking about

1174
00:56:44,680 --> 00:56:47,479
Speaker 1: all of those costs coming in, all those pieces coming

1175
00:56:47,480 --> 00:56:49,520
Speaker 1: in from overseas are going to have an added cost

1176
00:56:49,560 --> 00:56:52,239
Speaker 1: to it that actually doesn't even necessarily accomplish what you

1177
00:56:52,280 --> 00:56:54,200
Speaker 1: want to accomplish with it, which is to build out

1178
00:56:54,239 --> 00:56:57,960
Speaker 1: domestic manufacturing. So again, you know, whether you support the

1179
00:56:58,000 --> 00:57:00,520
Speaker 1: policy or not, it's pretty clear it is going to

1180
00:57:00,600 --> 00:57:03,760
Speaker 1: increase prices across the board. So having a few areas

1181
00:57:03,760 --> 00:57:06,160
Speaker 1: where Okay, you know, we can handle prices increasing on

1182
00:57:06,320 --> 00:57:09,920
Speaker 1: washing machines or whatever for some time period. But for

1183
00:57:10,080 --> 00:57:12,200
Speaker 1: voters looking at this and thinking, okay, we're going to

1184
00:57:12,239 --> 00:57:16,439
Speaker 1: increase prices on literally everything across the board, yeah, it's

1185
00:57:16,480 --> 00:57:19,000
Speaker 1: it's unpopular. It's already unpopular, And like I said, I

1186
00:57:19,040 --> 00:57:22,320
Speaker 1: think it's effective political messaging to lean into that.

1187
00:57:22,440 --> 00:57:24,520
Speaker 4: Given where the pain point is, it's up to America.

1188
00:57:24,560 --> 00:57:27,640
Speaker 2: You people want cheap shit from China and from everywhere else,

1189
00:57:27,640 --> 00:57:29,960
Speaker 2: and you want to complain about inflation every time something

1190
00:57:30,000 --> 00:57:31,960
Speaker 2: happens in a global thing, then yeah, go ahead, go

1191
00:57:32,040 --> 00:57:33,680
Speaker 2: ahead and support your.

1192
00:57:33,520 --> 00:57:34,880
Speaker 4: Place and concerns are reasonable.

1193
00:57:35,000 --> 00:57:37,160
Speaker 2: No, sorry, okay, but I'm saying, if you have to

1194
00:57:37,160 --> 00:57:39,080
Speaker 2: decide what you want, you want to be you want

1195
00:57:39,080 --> 00:57:42,280
Speaker 2: to be extremely vulnerable to price shocks for every single

1196
00:57:42,560 --> 00:57:44,440
Speaker 2: little thing that you consume in the economy, or do

1197
00:57:44,480 --> 00:57:46,760
Speaker 2: you actually want to try and buy as much stuff

1198
00:57:46,800 --> 00:57:48,880
Speaker 2: that's made here in America as possible? And that's a

1199
00:57:48,960 --> 00:57:51,480
Speaker 2: vision that I support. Also with tariffs, it would bring

1200
00:57:51,480 --> 00:57:54,720
Speaker 2: in hundreds of billions of dollars in additional revenue. That

1201
00:57:54,920 --> 00:57:59,400
Speaker 2: is unambiguous. America is the beacon of global trade. People

1202
00:57:59,440 --> 00:58:02,720
Speaker 2: will export here no matter what. The idea that we're

1203
00:58:02,760 --> 00:58:06,120
Speaker 2: not going to have some beneficial uh from some beneficial

1204
00:58:06,200 --> 00:58:09,200
Speaker 2: not only monetary but manufacturing rise from tariffs.

1205
00:58:09,240 --> 00:58:10,000
Speaker 3: It's like ridiculous.

1206
00:58:10,040 --> 00:58:11,920
Speaker 2: And that's what I mean too, is if she was

1207
00:58:12,000 --> 00:58:15,400
Speaker 2: running a purely neoliberal trade campaign, fine, but her only

1208
00:58:15,560 --> 00:58:18,800
Speaker 2: objection is like, oh, there's tariffs on uh, there's there's

1209
00:58:18,800 --> 00:58:22,000
Speaker 2: not there's too many tariffs on other sectors. But the

1210
00:58:22,040 --> 00:58:25,440
Speaker 2: whole idea of targeted tariffs reveals that the idea of

1211
00:58:25,560 --> 00:58:29,560
Speaker 2: tariff itself is The big ideological war we had to

1212
00:58:29,560 --> 00:58:32,960
Speaker 2: fight was whether tariffs are useful in any context. They

1213
00:58:33,000 --> 00:58:36,240
Speaker 2: have already conceded that. Now it's just a battle between

1214
00:58:36,360 --> 00:58:38,280
Speaker 2: where the tariffs should be and not.

1215
00:58:38,640 --> 00:58:40,400
Speaker 3: And clearly what we saw.

1216
00:58:40,240 --> 00:58:43,800
Speaker 2: From the Midwestern States all throughout the Trump administration, people

1217
00:58:43,880 --> 00:58:45,880
Speaker 2: kept saying, oh, all these people are going to revolt,

1218
00:58:46,080 --> 00:58:48,400
Speaker 2: all these farmers, et cetera. It's not true. It actually

1219
00:58:49,000 --> 00:58:52,360
Speaker 2: benefited their economy. It's not like our trade with China

1220
00:58:52,760 --> 00:58:54,920
Speaker 2: was affected really at all. If anything, our trade deficit

1221
00:58:55,000 --> 00:58:55,840
Speaker 2: went up under.

1222
00:58:55,840 --> 00:58:58,120
Speaker 1: Our trade up the jidjo up under the Trump administration.

1223
00:58:58,680 --> 00:59:02,439
Speaker 1: My point sore, But here's the thing. There's a big

1224
00:59:02,480 --> 00:59:05,080
Speaker 1: difference between you know, you don't have to have an

1225
00:59:05,080 --> 00:59:08,600
Speaker 1: all or nothing approach. So again, there are certain industries

1226
00:59:08,640 --> 00:59:12,200
Speaker 1: that are important for you know, for the economic base,

1227
00:59:12,640 --> 00:59:15,680
Speaker 1: that are growing industries of the future, like evs that

1228
00:59:15,760 --> 00:59:20,360
Speaker 1: are important for our national security. Steel I think would

1229
00:59:20,360 --> 00:59:23,800
Speaker 1: be an important you know, fall into that category that

1230
00:59:23,880 --> 00:59:26,120
Speaker 1: are important in terms of During COVID, we learned like,

1231
00:59:26,120 --> 00:59:28,080
Speaker 1: oh shit, we don't make any mass or downs here,

1232
00:59:28,120 --> 00:59:30,640
Speaker 1: Like there are some critical supply lines that yes, it

1233
00:59:30,680 --> 00:59:33,520
Speaker 1: makes sense to protect those industries even if it comes

1234
00:59:33,520 --> 00:59:36,520
Speaker 1: at some cost to consumers. To do that across the

1235
00:59:36,520 --> 00:59:39,920
Speaker 1: board just doesn't make any sense. Then you're just hiking

1236
00:59:40,000 --> 00:59:42,880
Speaker 1: prices on everything, including things that we don't really have

1237
00:59:42,920 --> 00:59:46,680
Speaker 1: any interest in making here and that you know, or

1238
00:59:46,720 --> 00:59:49,920
Speaker 1: we don't have the climate even to grow here. So

1239
00:59:50,800 --> 00:59:53,360
Speaker 1: you know, I think there's a very I think it

1240
00:59:53,360 --> 00:59:56,160
Speaker 1: makes a lot of sense to actually have targeted tariffs

1241
00:59:56,200 --> 00:59:59,000
Speaker 1: and the other pieces. So under Trump, you just had

1242
00:59:59,040 --> 01:00:02,960
Speaker 1: these certain tariffs, and it actually didn't accomplish what they

1243
01:00:02,960 --> 01:00:05,800
Speaker 1: wanted to accomplish, which was to bring manufacturing jobs back.

1244
01:00:05,840 --> 01:00:08,360
Speaker 1: As you mentioned, Saga, the trade deficit actually increased with

1245
01:00:08,440 --> 01:00:12,840
Speaker 1: China and we lost manufacturing jobs. Even excluding the COVID era,

1246
01:00:13,200 --> 01:00:17,160
Speaker 1: you know, economic decline. We've seen more manufacturing job creation

1247
01:00:17,320 --> 01:00:20,920
Speaker 1: under the Biden administration because they've had a combination both

1248
01:00:21,040 --> 01:00:26,680
Speaker 1: of targeted tariffs plus industrial policy investment through things like

1249
01:00:26,680 --> 01:00:29,960
Speaker 1: the Infrastructure Act and the Chips Act. The EV sector

1250
01:00:30,160 --> 01:00:32,920
Speaker 1: is you know, one important indicator of that. In particular,

1251
01:00:33,200 --> 01:00:36,560
Speaker 1: they focused on, you know, increasing battery EV battery production

1252
01:00:36,680 --> 01:00:39,840
Speaker 1: here in the US, and that has actually borne some fruit.

1253
01:00:40,160 --> 01:00:42,640
Speaker 1: But to just do terrafs across the board, you know,

1254
01:00:42,680 --> 01:00:45,240
Speaker 1: it's using a sledgehammer for a policy that you would

1255
01:00:45,240 --> 01:00:48,760
Speaker 1: more makes more sense to use a scalpel or perhaps

1256
01:00:48,800 --> 01:00:51,000
Speaker 1: a large knife, but not a sledgehammer.

1257
01:00:51,160 --> 01:00:53,600
Speaker 2: I'm a proponent of industrial policy, and that would be

1258
01:00:53,600 --> 01:00:58,240
Speaker 2: my criticism of the Trump administration. But on the tariff question, again,

1259
01:00:58,480 --> 01:01:00,600
Speaker 2: like a lot of it is frankly just it's honest.

1260
01:01:00,720 --> 01:01:03,640
Speaker 2: If you are also a person who supports ter like,

1261
01:01:03,720 --> 01:01:06,080
Speaker 2: here's the truth. You will pay more for electronics under

1262
01:01:06,080 --> 01:01:09,360
Speaker 2: the Biden administration than you did under let's say, the

1263
01:01:09,400 --> 01:01:14,080
Speaker 2: Bush administration, especially whenever we factor in the export duties

1264
01:01:14,360 --> 01:01:17,200
Speaker 2: or the export import duties with respect to tariffs. I

1265
01:01:17,280 --> 01:01:19,000
Speaker 2: think that's fine. I think that's a good thing. I

1266
01:01:19,000 --> 01:01:21,560
Speaker 2: think it was a good thing under the Trump administration. Yes,

1267
01:01:21,600 --> 01:01:24,160
Speaker 2: it's true tariffs alone are not going to accomplish anything,

1268
01:01:24,200 --> 01:01:27,680
Speaker 2: but it's also about the economic vision of the United States.

1269
01:01:27,680 --> 01:01:30,120
Speaker 2: What Trump talks a lot about is smooth Holly, which

1270
01:01:30,160 --> 01:01:33,440
Speaker 2: is derided by a lot of these brainded economists, and

1271
01:01:33,520 --> 01:01:36,080
Speaker 2: they have this whole theory about how smooth Holly is

1272
01:01:36,160 --> 01:01:39,040
Speaker 2: really why the Great Depression went the way it was,

1273
01:01:39,080 --> 01:01:40,439
Speaker 2: and I don't agree with that at all. And there's

1274
01:01:40,440 --> 01:01:43,720
Speaker 2: a growing amount of literature that goes into that, specifically

1275
01:01:44,040 --> 01:01:46,600
Speaker 2: around the manufacturing piece, like what you talked about with

1276
01:01:46,680 --> 01:01:49,760
Speaker 2: the advanced manufacturing. That's not necessarily the only economy that

1277
01:01:49,760 --> 01:01:51,640
Speaker 2: we want to live in, which is just purely high

1278
01:01:51,680 --> 01:01:56,760
Speaker 2: tech manufacturing. You actually want labor capital jobs that don't

1279
01:01:56,800 --> 01:01:59,600
Speaker 2: require like a minimum or a minimum of a college

1280
01:01:59,680 --> 01:02:02,680
Speaker 2: educationation for mechanical engineering to be able to work with

1281
01:02:02,920 --> 01:02:05,720
Speaker 2: and then importing a lot of the other cheaper stuff

1282
01:02:05,880 --> 01:02:10,760
Speaker 2: from China, Vietnam, whatever, India, et cetera, Mexico. You actually

1283
01:02:10,800 --> 01:02:13,520
Speaker 2: want the regard the majority of that supply chain you

1284
01:02:13,520 --> 01:02:15,960
Speaker 2: know here in the US, and that will require a

1285
01:02:16,040 --> 01:02:18,680
Speaker 2: significant amount of terrorists. I'm not just honest, I think

1286
01:02:18,680 --> 01:02:20,600
Speaker 2: it would lead to higher price. I also think it

1287
01:02:20,600 --> 01:02:23,240
Speaker 2: would unleash more you know GDP here in the US.

1288
01:02:23,320 --> 01:02:26,280
Speaker 2: And I think it's unfortunate that this whole tariff thing.

1289
01:02:26,560 --> 01:02:28,560
Speaker 2: It's like when the way that they talk about it,

1290
01:02:28,920 --> 01:02:31,920
Speaker 2: where they don't ever acknowledge that they believe in a

1291
01:02:32,840 --> 01:02:37,680
Speaker 2: very similar vision, just a similar vision targeted towards industries

1292
01:02:37,960 --> 01:02:39,280
Speaker 2: which they think are more important.

1293
01:02:39,280 --> 01:02:40,760
Speaker 3: But yeah, at the end of the day, you're agreeing

1294
01:02:40,800 --> 01:02:42,840
Speaker 3: with the philosophy. No, No, the philosophy is important.

1295
01:02:42,880 --> 01:02:43,720
Speaker 4: I mean you're acting like.

1296
01:02:43,760 --> 01:02:47,400
Speaker 1: There's only one answer tariff's yes or tariffs no. Where

1297
01:02:47,640 --> 01:02:52,919
Speaker 1: it's very reasonable and I think correct to say it depends, right,

1298
01:02:53,160 --> 01:02:55,600
Speaker 1: is it an industry that is you know, has an

1299
01:02:55,640 --> 01:02:58,000
Speaker 1: important job based here in the US. Isn't an industry

1300
01:02:58,200 --> 01:03:01,240
Speaker 1: that is growing for the future, like you know green tag.

1301
01:03:01,320 --> 01:03:03,640
Speaker 1: I mean, the amount of solar panels that we manufacture

1302
01:03:03,680 --> 01:03:06,880
Speaker 1: here has skyrocketed under the Biden administration because of the

1303
01:03:06,880 --> 01:03:09,320
Speaker 1: combination of tariffs and industrial policy.

1304
01:03:09,640 --> 01:03:09,840
Speaker 4: You know.

1305
01:03:10,160 --> 01:03:12,760
Speaker 1: So I don't think that the answer is just teriffs

1306
01:03:12,800 --> 01:03:15,600
Speaker 1: yes or tariffs no. You could say, all right, it

1307
01:03:15,680 --> 01:03:18,680
Speaker 1: makes sense and it's a reasonable trade off for consumers

1308
01:03:18,720 --> 01:03:21,160
Speaker 1: to have to pay more for washing machines or have

1309
01:03:21,240 --> 01:03:25,360
Speaker 1: to pay more for ev vehicles, even in the short term,

1310
01:03:25,360 --> 01:03:27,640
Speaker 1: because this is an industry that's important to the future,

1311
01:03:27,680 --> 01:03:29,960
Speaker 1: and that is important to our economy in the future,

1312
01:03:30,000 --> 01:03:32,680
Speaker 1: Like the trade off is worth it versus just this,

1313
01:03:32,920 --> 01:03:35,840
Speaker 1: you know, blanket across the board. Now we just want

1314
01:03:35,880 --> 01:03:38,840
Speaker 1: to raise prices on everything, including bananas, which it doesn't

1315
01:03:38,840 --> 01:03:39,680
Speaker 1: even make sense.

1316
01:03:39,440 --> 01:03:41,720
Speaker 4: For us to grow here in the US. So that's

1317
01:03:41,720 --> 01:03:42,400
Speaker 4: my only point.

1318
01:03:42,880 --> 01:03:44,760
Speaker 1: I'll just go back to the political point, which is

1319
01:03:44,760 --> 01:03:47,920
Speaker 1: that even though you support it and other people do

1320
01:03:48,000 --> 01:03:50,400
Speaker 1: as well, I think it is a very potent political

1321
01:03:50,440 --> 01:03:54,720
Speaker 1: messaging at a time when the top economic pain point

1322
01:03:54,800 --> 01:03:59,680
Speaker 1: is prices to point out that Trump's policies unambiguously would

1323
01:03:59,800 --> 01:04:02,920
Speaker 1: rate prices on a lot of goods across the board.

1324
01:04:03,200 --> 01:04:04,640
Speaker 1: The last thing I'll say is, you know, it is

1325
01:04:04,680 --> 01:04:07,240
Speaker 1: a very different economic landscape than twenty sixteen. You know,

1326
01:04:07,280 --> 01:04:10,320
Speaker 1: in twenty sixteen we had low inflation. In twenty sixteen,

1327
01:04:10,560 --> 01:04:14,360
Speaker 1: price increases we're not you know, didn't rate for consumers

1328
01:04:14,360 --> 01:04:16,920
Speaker 1: because we weren't experiencing them. So it is a very

1329
01:04:16,960 --> 01:04:21,160
Speaker 1: different economic landscape that this blanket across the board. Tariff

1330
01:04:21,520 --> 01:04:22,760
Speaker 1: policy enters into.

1331
01:04:22,800 --> 01:04:25,080
Speaker 2: Yeah, no, you're not wrong, and I agree Americans are

1332
01:04:25,120 --> 01:04:27,200
Speaker 2: very short term in the way that they're thinking.

1333
01:04:27,320 --> 01:04:28,400
Speaker 3: But you know, I.

1334
01:04:28,840 --> 01:04:30,640
Speaker 1: Got one to be able to run groceries and be

1335
01:04:30,840 --> 01:04:35,600
Speaker 1: able to take it people and live for which is massilization.

1336
01:04:35,840 --> 01:04:38,760
Speaker 2: Yes, you know, per capita things were more expensive. People

1337
01:04:38,760 --> 01:04:40,720
Speaker 2: also had a lot more money back in the nineteen

1338
01:04:40,760 --> 01:04:43,960
Speaker 2: seventies before all of this trade bullshit that currently happened.

1339
01:04:44,000 --> 01:04:46,520
Speaker 2: So the more indirection of tariffs, I think we're better

1340
01:04:46,560 --> 01:04:48,520
Speaker 2: off that we are. I mean, even the solar thing

1341
01:04:48,600 --> 01:04:51,320
Speaker 2: is a good example for the only reason that they're fake.

1342
01:04:51,440 --> 01:04:54,680
Speaker 2: This these manufacturing numbers on solar are totally fake, especially

1343
01:04:54,720 --> 01:04:57,440
Speaker 2: because they had to waive the tariff on the import

1344
01:04:57,480 --> 01:05:00,960
Speaker 2: duty from China because no solar company was able to

1345
01:05:00,960 --> 01:05:03,959
Speaker 2: actually properly manufacture it in the US. We had whole

1346
01:05:03,960 --> 01:05:06,320
Speaker 2: debates about this a couple of years ago. People can

1347
01:05:06,400 --> 01:05:08,280
Speaker 2: go and watch. In fact, I think Rocanna and I

1348
01:05:08,400 --> 01:05:10,120
Speaker 2: argue about it here at the desk. They had to

1349
01:05:10,160 --> 01:05:12,560
Speaker 2: waive the tariff on it because it's not actually capable

1350
01:05:12,800 --> 01:05:13,480
Speaker 2: here in the US.

1351
01:05:13,560 --> 01:05:14,600
Speaker 3: That's a perfect example.

1352
01:05:14,680 --> 01:05:17,720
Speaker 2: Yes, you need industrial policy, but for a lot of

1353
01:05:17,760 --> 01:05:21,400
Speaker 2: this stuff, you know, the teriff itself is important in

1354
01:05:21,480 --> 01:05:25,439
Speaker 2: actually literally forcing the manufacture here in the US too,

1355
01:05:25,680 --> 01:05:28,960
Speaker 2: especially against nations like China, which not only do they

1356
01:05:29,000 --> 01:05:32,440
Speaker 2: have massive tariffs on us, but have their own state

1357
01:05:32,520 --> 01:05:36,959
Speaker 2: sponsored industrial policy. Every high tech manufacturing piece that people

1358
01:05:36,960 --> 01:05:40,360
Speaker 2: always point to, France, Germany, expert, these are massively subsidized

1359
01:05:40,400 --> 01:05:43,200
Speaker 2: by their own government. Only in America are we the

1360
01:05:43,240 --> 01:05:47,000
Speaker 2: fools that float entirely on free market? And just let

1361
01:05:47,080 --> 01:05:49,920
Speaker 2: all these other companies are these countries completely take advantage

1362
01:05:49,960 --> 01:05:52,520
Speaker 2: of it from steel transshipping. I mean, it's a disaster

1363
01:05:53,520 --> 01:05:54,640
Speaker 2: an economic lands.

1364
01:05:55,120 --> 01:05:59,600
Speaker 1: Even for what you're talking about, just you know, increasing manufacturing. Again,

1365
01:06:00,120 --> 01:06:01,920
Speaker 1: doesn't make any sense to put teriffs on things like

1366
01:06:01,920 --> 01:06:02,680
Speaker 1: bananas and coffee.

1367
01:06:02,680 --> 01:06:03,520
Speaker 4: Will put that aside.

1368
01:06:03,600 --> 01:06:07,800
Speaker 1: But okay, let's imagine that you are manufacturing something that

1369
01:06:07,880 --> 01:06:11,200
Speaker 1: requires a lot of imports from overseas, and now suddenly

1370
01:06:11,200 --> 01:06:13,560
Speaker 1: your costs have gone up on every single one.

1371
01:06:13,480 --> 01:06:15,600
Speaker 4: Of those pieces. What are you likely to do?

1372
01:06:16,440 --> 01:06:20,120
Speaker 1: You It is just as likely that you decide to

1373
01:06:20,240 --> 01:06:25,120
Speaker 1: relocate your factory to an international location and then bear

1374
01:06:25,160 --> 01:06:27,040
Speaker 1: the cost of okay, just one time, I'm don't have

1375
01:06:27,120 --> 01:06:30,200
Speaker 1: to pay, you know, it's the tariff in coming in

1376
01:06:30,240 --> 01:06:33,320
Speaker 1: to sell into the US market. It's just as likely

1377
01:06:33,360 --> 01:06:35,120
Speaker 1: that you end up with a lot of those jobs

1378
01:06:35,320 --> 01:06:37,840
Speaker 1: leaving to go to places where they can import the

1379
01:06:37,840 --> 01:06:40,600
Speaker 1: goods without having to pay that tariff on every single

1380
01:06:40,640 --> 01:06:43,840
Speaker 1: piece that goes into manufacturing the final product. So it's

1381
01:06:43,880 --> 01:06:46,480
Speaker 1: not even clear that for what you're talking about that

1382
01:06:46,840 --> 01:06:49,080
Speaker 1: you end up with high prices and you could also

1383
01:06:49,360 --> 01:06:53,080
Speaker 1: end up with losing manufacturing jobs in some of these industries.

1384
01:06:53,320 --> 01:06:56,800
Speaker 1: So that's why I just say, like it makes perfect

1385
01:06:56,840 --> 01:06:59,240
Speaker 1: sense to me and I you know, in certain industries

1386
01:06:59,280 --> 01:07:01,720
Speaker 1: to be protection is that this is something we wanted foster.

1387
01:07:01,920 --> 01:07:03,200
Speaker 1: We're going to put a tariff, we're going to do

1388
01:07:03,280 --> 01:07:06,280
Speaker 1: industrial policy, We're going to have these incentives for companies

1389
01:07:06,360 --> 01:07:09,240
Speaker 1: to locate here. We have seen that be successful under

1390
01:07:09,240 --> 01:07:11,680
Speaker 1: the Biden administration in certain key areas in a way

1391
01:07:11,680 --> 01:07:14,200
Speaker 1: that it wasn't under the Trump administration because all they

1392
01:07:14,240 --> 01:07:17,160
Speaker 1: did was tariffs. But in some industries, again, it just

1393
01:07:17,280 --> 01:07:22,160
Speaker 1: makes no sense, especially especially if it's not coupled with

1394
01:07:22,280 --> 01:07:25,320
Speaker 1: that industrial policy, then the only thing that you're doing

1395
01:07:25,440 --> 01:07:28,960
Speaker 1: is raising prices and also potentially losing manufacturing jobs.

1396
01:07:29,000 --> 01:07:31,120
Speaker 2: And my response would be a we have the long

1397
01:07:31,200 --> 01:07:32,720
Speaker 2: arm of the US government. If you want to try

1398
01:07:32,760 --> 01:07:34,800
Speaker 2: and leave in good luck, because we should penalize the

1399
01:07:34,840 --> 01:07:37,280
Speaker 2: shit out of you. And that's actually not thing Trump support.

1400
01:07:37,320 --> 01:07:39,040
Speaker 2: So I think that's good, whether it would ever get

1401
01:07:39,080 --> 01:07:41,400
Speaker 2: through a Trump Congress or any of that. But I mean,

1402
01:07:41,400 --> 01:07:43,600
Speaker 2: that's not a philosophical basis. It's like, Okay, you want

1403
01:07:43,600 --> 01:07:46,160
Speaker 2: to leave John Deere GM and all of this, then welcome.

1404
01:07:46,240 --> 01:07:47,520
Speaker 2: You're going to have to pay a lot of money

1405
01:07:47,520 --> 01:07:49,680
Speaker 2: back to enter our markets if you want to lose

1406
01:07:49,680 --> 01:07:51,560
Speaker 2: our if you want to leave our country. And if

1407
01:07:51,720 --> 01:07:55,120
Speaker 2: anybody who thinks this is radical, every nation on earth

1408
01:07:55,280 --> 01:07:58,440
Speaker 2: does this. If you're a Swiss manufactacturing company Pharma, good

1409
01:07:58,520 --> 01:08:02,080
Speaker 2: luck you're leaving Switzerland. If you are Volvo or any

1410
01:08:02,080 --> 01:08:04,600
Speaker 2: of these other companies in Europe, yeah, good luck actually

1411
01:08:04,680 --> 01:08:05,840
Speaker 2: leaving your flagship.

1412
01:08:05,880 --> 01:08:07,760
Speaker 3: They will smack you. It will never happen.

1413
01:08:07,880 --> 01:08:10,560
Speaker 2: Only here are we saying like it's even an acceptable

1414
01:08:10,560 --> 01:08:12,920
Speaker 2: solution that people who would get billions of dollars in

1415
01:08:12,960 --> 01:08:16,679
Speaker 2: government subsidies are allowed to just freely leave or whatever

1416
01:08:16,720 --> 01:08:19,040
Speaker 2: when they want, especially when they're still in the red,

1417
01:08:19,280 --> 01:08:23,000
Speaker 2: considering their contribution to us and all the taxpayer assistants,

1418
01:08:23,120 --> 01:08:25,280
Speaker 2: stop cities, et cetera. That they get on a basis.

1419
01:08:25,320 --> 01:08:28,200
Speaker 2: So that's why the tariff is in general. On the policy,

1420
01:08:28,200 --> 01:08:30,560
Speaker 2: I don't agree. I don't disagree. I think it probably politically,

1421
01:08:30,800 --> 01:08:32,639
Speaker 2: you know, it's not landing the way that I wish

1422
01:08:32,680 --> 01:08:34,479
Speaker 2: it would. And I think people should actually have to

1423
01:08:34,479 --> 01:08:37,000
Speaker 2: think about this stuff not in terms of like the

1424
01:08:37,080 --> 01:08:39,559
Speaker 2: immediate term of whether something is going to cost ten

1425
01:08:39,640 --> 01:08:42,000
Speaker 2: cents more or less. You need to think much more

1426
01:08:42,240 --> 01:08:44,200
Speaker 2: in the future because if you don't, then you'll end

1427
01:08:44,240 --> 01:08:46,120
Speaker 2: up in a COVID situation where you can't buy anything

1428
01:08:46,320 --> 01:08:47,920
Speaker 2: at the grocery store, or you're going to have a

1429
01:08:48,000 --> 01:08:50,639
Speaker 2: three year supply shock to the US economy and everyone's

1430
01:08:50,640 --> 01:08:52,559
Speaker 2: going to freak out and wonder how exactly that happened.

1431
01:08:52,640 --> 01:08:54,759
Speaker 2: That's forty years of problems that happened.

1432
01:08:54,880 --> 01:08:57,439
Speaker 1: Yeah, So let's go ahead and move on to Kamala

1433
01:08:57,479 --> 01:09:00,599
Speaker 1: Harris courting Wall Street, because there are some big questions

1434
01:09:00,600 --> 01:09:03,400
Speaker 1: about whether she would continue the parts of the Biden

1435
01:09:03,400 --> 01:09:06,919
Speaker 1: administration that you know, I really support, and those pieces

1436
01:09:06,920 --> 01:09:11,040
Speaker 1: have been specifically around corporate power and anti trust and

1437
01:09:11,160 --> 01:09:15,639
Speaker 1: also the more aggressive approach that the SEC has taken

1438
01:09:15,760 --> 01:09:18,400
Speaker 1: towards crypto. By the way, one of the I think

1439
01:09:18,560 --> 01:09:22,160
Speaker 1: undercovered stories in this election by ourselves and everybody in

1440
01:09:22,200 --> 01:09:26,880
Speaker 1: media is that Crypto is the largest funder by industry

1441
01:09:27,160 --> 01:09:29,879
Speaker 1: of this both campaigns. I mean, if you look across

1442
01:09:29,880 --> 01:09:33,479
Speaker 1: our entire political spectrum, the amount of dollars coming from

1443
01:09:33,479 --> 01:09:38,439
Speaker 1: Crypto dwarfs literally any other industry. So they seem to

1444
01:09:38,479 --> 01:09:41,920
Speaker 1: effectively have gotten their way. You know, Trump flipped on

1445
01:09:42,040 --> 01:09:45,519
Speaker 1: his views on crypto. Kamala seems to be behind the scenes,

1446
01:09:45,880 --> 01:09:48,599
Speaker 1: you know, doing some similar like I'll be different than

1447
01:09:48,880 --> 01:09:50,519
Speaker 1: Joe Biden. We can put this up on the screen.

1448
01:09:50,560 --> 01:09:52,760
Speaker 1: From the Financial Times, they had a good writeup of

1449
01:09:52,880 --> 01:09:57,720
Speaker 1: the behind the scenes charm offensive that they describe as beginning.

1450
01:09:57,320 --> 01:09:58,800
Speaker 4: To quote unquote pay off.

1451
01:09:59,080 --> 01:10:02,519
Speaker 1: She's been building ties with finance bosses and an attempt

1452
01:10:02,520 --> 01:10:06,559
Speaker 1: to quell support for Donald Trump. They quote one leading

1453
01:10:06,640 --> 01:10:09,840
Speaker 1: private equity investor that I thought this was pretty interesting.

1454
01:10:09,960 --> 01:10:11,960
Speaker 1: He said, I was going to vote for Trump because

1455
01:10:12,000 --> 01:10:16,000
Speaker 1: I was annoyed about being targeted by Biden. I could

1456
01:10:16,040 --> 01:10:19,200
Speaker 1: reconsidered now. Trump is still better on taxes, meaning that

1457
01:10:19,280 --> 01:10:22,240
Speaker 1: he will cut taxes for the rich. But Hair seems

1458
01:10:22,240 --> 01:10:26,479
Speaker 1: to be more like Clinton than Obama or Biden. Hard

1459
01:10:26,520 --> 01:10:30,000
Speaker 1: to think of more damning words. Also, the delusional view

1460
01:10:30,120 --> 01:10:33,320
Speaker 1: of Obama is crazy, but it's fair that Biden. You know,

1461
01:10:33,360 --> 01:10:36,720
Speaker 1: the Biden administration has been more aggressive, certainly on antitrust

1462
01:10:37,640 --> 01:10:41,320
Speaker 1: than the Obama, Clinton, Bush or Trump administrations.

1463
01:10:41,720 --> 01:10:42,799
Speaker 4: So she has.

1464
01:10:42,760 --> 01:10:46,760
Speaker 1: Still Soger not taken a public position on whether she

1465
01:10:46,800 --> 01:10:51,200
Speaker 1: would maintain Lena Kahan in uh, you know, at the FTC.

1466
01:10:51,800 --> 01:10:54,480
Speaker 1: But behind the same scene, she seems to be indicating

1467
01:10:54,560 --> 01:10:56,600
Speaker 1: to these Wall Street people that, like, I'm going to

1468
01:10:56,640 --> 01:10:57,640
Speaker 1: be different than by The.

1469
01:10:57,640 --> 01:11:00,639
Speaker 2: Biggest tell to me was Ben Horowitz. People who don't

1470
01:11:00,680 --> 01:11:03,040
Speaker 2: know who that is. He's the co head of a

1471
01:11:03,160 --> 01:11:06,759
Speaker 2: sixteen Z who previously had actually come out and endorsed

1472
01:11:06,840 --> 01:11:11,440
Speaker 2: Donald Trump and is now actually quote making significant donations

1473
01:11:11,439 --> 01:11:15,160
Speaker 2: to Kamala Harris. As of just yesterday it was announced

1474
01:11:15,160 --> 01:11:18,160
Speaker 2: that because of his quote long standing relationship and him

1475
01:11:18,200 --> 01:11:20,160
Speaker 2: and his wife who have known Kamala Harris, that they

1476
01:11:20,400 --> 01:11:23,639
Speaker 2: have decided they will be making significant donation to entities

1477
01:11:23,800 --> 01:11:26,439
Speaker 2: who support the Harris Walls campaign. But that perhaps was

1478
01:11:26,479 --> 01:11:29,240
Speaker 2: the biggest tell to me because he previously had I

1479
01:11:29,360 --> 01:11:32,840
Speaker 2: literally endorsed Donald Trump and said that he was better

1480
01:11:32,920 --> 01:11:36,680
Speaker 2: for technology, the technology industry, and the Biden administration was

1481
01:11:36,720 --> 01:11:39,600
Speaker 2: bad specifically Lena Khan and all of that. So the

1482
01:11:39,640 --> 01:11:42,280
Speaker 2: flip from Horowitz on that was the most significant to

1483
01:11:42,320 --> 01:11:44,639
Speaker 2: me about where things are going. I don't think people

1484
01:11:44,680 --> 01:11:47,760
Speaker 2: like that to give billions or millions of dollars and

1485
01:11:47,800 --> 01:11:50,759
Speaker 2: who are themselves billionaires with money that is on the line,

1486
01:11:50,920 --> 01:11:53,120
Speaker 2: unless they have somewhat of assurance of the way things

1487
01:11:53,120 --> 01:11:55,080
Speaker 2: are going to go. That broke just broke yesterday.

1488
01:11:55,160 --> 01:11:56,280
Speaker 4: Yeah, I saw that as well.

1489
01:11:56,360 --> 01:11:58,720
Speaker 1: I mean to me, it's like it's deeply troubling, Like

1490
01:11:58,800 --> 01:12:04,960
Speaker 1: Kamala clearly very few ideological commitments to anything, and it

1491
01:12:04,960 --> 01:12:07,280
Speaker 1: doesn't even like she doesn't even really need their money.

1492
01:12:07,280 --> 01:12:10,960
Speaker 1: Like we shared you the charts before, she's wildly out

1493
01:12:11,000 --> 01:12:15,519
Speaker 1: fundraising him. She's wildly out spending him. So it would

1494
01:12:15,560 --> 01:12:18,519
Speaker 1: be far better Kamala Harris, I know you don't care

1495
01:12:18,560 --> 01:12:20,479
Speaker 1: about like the morals of the principles. It would be

1496
01:12:20,640 --> 01:12:24,200
Speaker 1: far better politically for you to be seen as having

1497
01:12:24,200 --> 01:12:26,800
Speaker 1: an adversary or relationship with the people that most of

1498
01:12:26,840 --> 01:12:31,479
Speaker 1: the country absolutely hates. And listen, there's a lot you

1499
01:12:31,520 --> 01:12:34,400
Speaker 1: can say about Donald Trump this time and the coziness

1500
01:12:34,400 --> 01:12:36,880
Speaker 1: with billionaires. He just literally had, you know, one of

1501
01:12:36,960 --> 01:12:40,120
Speaker 1: the world's wealthiest men up on stage with him at

1502
01:12:40,160 --> 01:12:42,840
Speaker 1: a rally. He's been going around to oil and gas

1503
01:12:42,840 --> 01:12:45,360
Speaker 1: executives saying, give me a billion dollars and I'll give

1504
01:12:45,360 --> 01:12:48,559
Speaker 1: you whatever you want. He's been shamelessly, in a way

1505
01:12:48,600 --> 01:12:51,839
Speaker 1: that is more brazen than, frankly, anything we've seen before,

1506
01:12:52,320 --> 01:12:56,080
Speaker 1: going to wealthy billionaires and saying, fund my campaign and

1507
01:12:56,120 --> 01:12:58,360
Speaker 1: I will cut your taxes and give you everything that

1508
01:12:58,400 --> 01:12:58,840
Speaker 1: you want.

1509
01:12:59,120 --> 01:13:00,920
Speaker 4: But you can't make that case.

1510
01:13:00,960 --> 01:13:03,920
Speaker 1: When you are yourself engaged in some version of the

1511
01:13:03,960 --> 01:13:06,240
Speaker 1: same game. So you know, the other thing that I

1512
01:13:06,240 --> 01:13:09,640
Speaker 1: see is like Mark Cuban going around and making this

1513
01:13:09,720 --> 01:13:12,720
Speaker 1: case publicly basically, you know, making a similar case. Oh,

1514
01:13:12,760 --> 01:13:14,680
Speaker 1: she's going to be different than Biden, She's going to

1515
01:13:14,680 --> 01:13:16,920
Speaker 1: be better at Wall Street, etcetera, etcetera. And it's like,

1516
01:13:17,400 --> 01:13:19,519
Speaker 1: I don't know why you think this helps your campaign.

1517
01:13:19,880 --> 01:13:23,880
Speaker 1: It also speaks to the embrace of the Cheney's. I mean,

1518
01:13:23,920 --> 01:13:27,000
Speaker 1: embracing Dick Cheney is just this man is pure ev

1519
01:13:27,120 --> 01:13:31,880
Speaker 1: It's just disgusting to affiliate yourself with him whatsoever. And

1520
01:13:32,320 --> 01:13:34,360
Speaker 1: I don't know what you think you're getting out of that.

1521
01:13:34,880 --> 01:13:37,160
Speaker 1: When so much of the public is in favor of

1522
01:13:37,240 --> 01:13:40,280
Speaker 1: taxing these people. More is in favor of a more

1523
01:13:40,360 --> 01:13:43,960
Speaker 1: aggressive stance visa VI. The rich is disgusted with how

1524
01:13:44,040 --> 01:13:46,439
Speaker 1: much they've eaten of the economy and how much they

1525
01:13:46,479 --> 01:13:49,880
Speaker 1: control the entire world. So even just from a base

1526
01:13:49,960 --> 01:13:54,439
Speaker 1: political perspective, I don't get it, and certainly from a

1527
01:13:54,680 --> 01:13:57,760
Speaker 1: moral and policy perspective, I think it is the dead

1528
01:13:57,800 --> 01:13:59,040
Speaker 1: wrong direction for her to take.

1529
01:13:59,160 --> 01:14:01,679
Speaker 3: I yeah, I it's uh yes.

1530
01:14:02,040 --> 01:14:04,519
Speaker 2: However, with the money, with who she is, with the

1531
01:14:04,520 --> 01:14:07,240
Speaker 2: people who are surrounding her, it's not a surprise exactly

1532
01:14:07,280 --> 01:14:08,439
Speaker 2: why she's going in that direction.