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

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

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

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

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

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Speaker 2: coverage that is possible. If you like what we're all about,

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Speaker 2: it just means the absolute world to have your support.

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Speaker 2: But enough with that, let's get to the show. Good morning, everybody,

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Speaker 2: Happy Thursday. We have an amazing show for everybody to day.

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Speaker 1: What do we have krysal Indeed, we do a lot

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Speaker 1: of interesting things to talk about today. So first of all,

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Speaker 1: we have our own exclusive breaking news. We had the

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Speaker 1: folks over at Jail Partners ask people how they would

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Speaker 1: describe Kamala Harris and separately JD Vance in a word

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Speaker 1: and we have those word clouds for you.

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Speaker 3: They're very interesting. Yes, they are some surprises there, so

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Speaker 3: we'll go through it.

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Speaker 1: We've got broken down by age and partisan affiliation and gender,

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Speaker 1: which was maybe the most interesting breakdown. Soccer are also

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Speaker 1: going to be looking at the gender divide in America

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Speaker 1: and his model wague. Today, of course, everyone is talking

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Speaker 1: about Trump's appearance at the Nationalisation of Black Journalists. We're

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Speaker 1: going to show you all of the wildest moments and

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Speaker 1: dig in also on what appears to be a new

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Speaker 1: explicit strategy of the Trump campaign to talk about Kamala

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Speaker 1: Harris's biracial identity and how she has talked about that

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Speaker 1: over the years. So we'll get into all of that.

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Speaker 1: I'm sure Saba and I may have different thoughts on

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Speaker 1: that one, So I've got a.

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Speaker 2: Lot of thoughts. Trump is only saying what I've always said.

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Speaker 1: Anyway, Yes, you're not running for president of the United States,

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Speaker 1: So anyway, we'll save that for that Black We're also

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Speaker 1: taking a look at much more serious news about what

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Speaker 1: appears to be an incredibly dangerous and fraught situation in

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Speaker 1: the Middle East after multiple assassinations conducted by Israel, Aaran

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Speaker 1: already protecting that they are going to retally the US

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Speaker 1: already saying, hey, we're going to get involved too, We're

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Speaker 1: going to have Israel's back.

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Speaker 3: So extremely dangerous.

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Speaker 1: Moment in the Middle East, and also appears to have

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Speaker 1: completely derailed any possibility of continuancies fire talks, So we'll

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Speaker 1: dig into that in all of what that means. We're

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Speaker 1: also taking a look again at Kamala's VP choice, who

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Speaker 1: it is likely.

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Speaker 3: To be and all.

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Speaker 1: So now we'll surprise now one those who are opposed

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Speaker 1: to Joshapiro, the governor of Pennsylvania being smeared as anti

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Speaker 1: semits by The Atlantic also no surprise, so we'll bring

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Speaker 1: you all of that. We've got Matt Stoler joining us

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Speaker 1: to talk about what indications Kamala is giving with regards

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Speaker 1: to corporate power and also the extraordinary public billionaire campaign

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Speaker 1: to pressure her to ditch Lena Kahan. So of course

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Speaker 1: Matts Dollar the perfect person to dig into all of that.

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Speaker 1: And as I mentioned before, Saber with a fantastic monologue

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Speaker 1: here at the end of the show.

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Speaker 2: Thank you very much.

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Speaker 3: Well, I haven't listened to you I have.

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Speaker 2: I really appreciate it. Thank you to everybody. We have

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Speaker 2: of our free month trial. Let's go and put that

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Speaker 2: for limited time only, so if you want to go

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Speaker 2: being a premium member the local show you know, uncut

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Speaker 2: you can do the AMA, et cetera. But really you

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Speaker 2: are helping support our work here. We are already in

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Speaker 2: major talks already, you know, with the DNC and what

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Speaker 2: we're going to be doing there, and we have some great,

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Speaker 2: great things planned, and of course that does cost a

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Speaker 2: lot of money. So your support of us really really

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Speaker 2: is appreciated. At this time, we were able to commission

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Speaker 2: these word clouds. We can have the flexibility, and it's

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Speaker 2: all because of people like you, so thank you so

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Speaker 2: much for taking advantage, and because we have so many

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Speaker 2: new listeners and now so many new members. We appreciate

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Speaker 2: you so much. If you want to join them breakingpoints

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Speaker 3: Yeah, thank you guys so much.

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Speaker 1: In fact, you know, the flood of subscriptions and viewers

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Speaker 1: that we got enabled us to have the content that

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Speaker 1: we're about to show you right now, so thank you

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Speaker 1: so much for making that possible.

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Speaker 3: All right, let's get to it. As I mentioned before.

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Speaker 1: We asked our friends over at Jail Partners to go

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Speaker 1: out into the field and ask voters in a word

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Speaker 1: what do they think about Kamala Harris and what do

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Speaker 1: they think about Jade Vance? When Kamala picks her VP choice,

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Speaker 1: we should do one for them, as of course, that

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Speaker 1: is yet, so we can't do that as of yet.

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Speaker 1: Let's go ahead and put for all voters the Kamala

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Speaker 1: Harris word cloud up on the screen, and we do

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Speaker 1: have it broken down as well. But this is you know,

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Speaker 1: if you take everybody that was captured in the sample,

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Speaker 1: what are the biggest words and descriptors.

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Speaker 3: That jump out?

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Speaker 1: Number one not a good sign for her, incompetent. Close behind, however,

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Speaker 1: is a positive word strong. And then you have probably

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Speaker 1: in third place there it looks like you've got liberal,

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Speaker 1: which is something certainly that you know they consider to

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Speaker 1: be a vulnerability and the Trump campaign considers to be

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Speaker 1: a vulnerability. Also, you have fairly high up there, which

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Speaker 1: I think will be relevant when we talk about the

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Speaker 1: nab J block fake some other things. You've got terrible,

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Speaker 1: you've got leader, you've got smart, you've got awesome, intelligent, unqualified, powerful, unfavorable.

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Speaker 1: One of the things saga that jumped out at me

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Speaker 1: as a positive for her is nowhere in this word

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Speaker 1: cloud is the word Biden or Joe at least not

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Speaker 1: that I saw looking at it. And you know, for her,

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Speaker 1: that's probably her biggest liability is just being tied to

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Speaker 1: what was a very unpopular administration.

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Speaker 2: She hasn't said Biden's name, so she began running. Yeah,

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Speaker 2: I think maybe when she's at the White House, somebody

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Speaker 2: took notes. She said Donald Trump's name I think fourteen

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Speaker 2: times in one of her recent rallies, Joe Biden's name

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Speaker 2: was not said. Once. We just got officially our DNC

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Speaker 2: speaking schedule. Joe Biden is on day one, aka the

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Speaker 2: day that nobody gives.

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Speaker 3: A shit the arms.

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Speaker 2: Yeah, yeah, it's like, that's Joe Biden day.

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Speaker 1: Let's give him his due, but I mean, really too much.

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Speaker 2: It's crazy Biden is for day one. You know, it's

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Speaker 2: on day two. Bill Clinton, who was president in nineteen

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Speaker 2: ninety two, the year that I was born, he will

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Speaker 2: be speaking, so will Barack Obama, then the vice president,

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Speaker 2: and then Kamala Harris. So if that doesn't tell you

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Speaker 2: everything that you need to know about who's most popular,

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Speaker 2: I think in order of that, but hey, let's give

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Speaker 2: him the credit. Word's due. Whenever the man is gone,

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Speaker 2: you know, put him out to pasture, and let's not

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Speaker 2: even say his name anymore, which is basically the strategy.

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Speaker 2: I think it is smart. There's also a couple of

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Speaker 2: other things, if we want to go to the next

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Speaker 2: one where we can dig in a little bit. That

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Speaker 2: incompetent word, if we see, is very prominent, the biggest

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Speaker 2: one amongst Republicans, but more critically here is independence. So

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Speaker 2: we see a couple of things where last time around,

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Speaker 2: when we had our word clouds with Biden, old was

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Speaker 2: the number one across.

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Speaker 3: All everybody Democrats.

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Speaker 2: Right, But the advantage that you have here is that

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Speaker 2: amongst Democrats you have strong, honest, you have smart, you

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Speaker 2: have competent president leader, positive, freedom, determined, charismatic fresh. So

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Speaker 2: what does that tell us high levels of democratic enthusiasm? Now,

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Speaker 2: even amongst independence, you see some where if you look

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Speaker 2: above the incompetent, you have incompetent fake, terrible, literal, horrible, unqualified,

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Speaker 2: all right, ridiculous. But beneath that, what do we see strong, nice, awesome, intelligent, smart,

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Speaker 2: powerful leaders. So independence genuinely are I think relatively split

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Speaker 2: fifty to fifty, although incompetent still remains I think the

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Speaker 2: most potent attack I think incompetent and fake, as you said,

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Speaker 2: which we'll get to with the NABJ attacks are the

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Speaker 2: ones that are really going to be dialed in. And this,

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Speaker 2: you know, look free advice to the Trump campaign. They

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Speaker 2: keep trying to say too liberal, too liberal, too liberal.

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Speaker 2: You don't see that anywhere really near the top I

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Speaker 2: think of independence. It is actually a Republican attack. If

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Speaker 2: you see there amongst Republicans they say incompetent, liberal, stupid, fake, bad, terrible, unfavorable.

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Speaker 2: That is where you see that attack resonate. So one

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Speaker 2: of the things, and what we haven't gotten to JD

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Speaker 2: yet that I would kind of urge people to do

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Speaker 2: is look at the language with resonates between both the

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Speaker 2: base and with the independent voters to try and win

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Speaker 2: people over. Obviously, no Democrats going to come over and

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Speaker 2: vote for Trump now at this point, especially what eight

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Speaker 2: nine years into the Trump era, but you know, with

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Speaker 2: a very tiny limited amount of independent voters, remember there's

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Speaker 2: not very many these days who are up for grabs.

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Speaker 2: Those are the people that you're playing with, and you

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Speaker 2: want to find an attack that kind of skewers the two,

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Speaker 2: and that triangulating on that is very difficult.

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Speaker 1: I actually think there are more swing voters than we

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Speaker 1: really give people credit.

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Speaker 2: You might be right, only because my calculus is twenty

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Speaker 2: two funny where Biden and Trump everybodys made up their mind.

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Speaker 2: A lot of people don't know anything about Kamala Harris.

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Speaker 2: You know a lot of people, Let's be honest. They

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Speaker 2: most people in this country cannot even name the vice

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Speaker 2: president's name. So then Democrats are like, oh, this is awesome,

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Speaker 2: but a lot of independence and actually even jd Vance,

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Speaker 2: I mean, you and I cover politics for a living.

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Speaker 2: Everybody knows Jadi Vance is. But you know I won't

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Speaker 2: give it away just yet. Just wait and see what

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Speaker 2: the number one word is for most people, like I

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Speaker 2: don't know who this guy is, right period.

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Speaker 1: Yeah, I think there may be more swing voters than

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Speaker 1: is typically given credit, just because for two reasons. Number one,

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Speaker 1: you see the fact that in the Senate races you

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Speaker 1: have Democrats outperforming, like you have more people who are

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Speaker 1: saying I'm going to vote split ticket, and that's an

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Speaker 1: indication that they are up for grabs. And also just

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Speaker 1: by how much this race has moved since Biden dropped,

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Speaker 1: and you know, I mean how much it moved after

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Speaker 1: his completely failed debate performance. People were like, oh, I

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Speaker 1: can't do this, and then how much it has shifted

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Speaker 1: again getting Kamala Harris into the race. It shows you

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Speaker 1: people are not just like partisan automatons. They are evaluating

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Speaker 1: the circumstances in front of them to some extent, and

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Speaker 1: so you know, there is more wiggle room there than

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Speaker 1: I think I have even commonly thought over the past

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Speaker 1: number of years.

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Speaker 3: And I think you're right, Soger.

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Speaker 1: It was easy to have that perception when it was

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Speaker 1: Joe Biden and Donald Trump because they were such known

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Speaker 1: quantities that you know, people were locked into their views

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Speaker 1: of these particular men, even as they may be a

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Speaker 1: little less like partisan, like hard part I just vote

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Speaker 1: for D or I'll just vote for R no matter what.

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Speaker 1: There may be more people who are open to shifting

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Speaker 1: back and forth. In any case, I think your comment

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Speaker 1: with regard to the partisan breakdown with Kamala is the

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Speaker 1: most important one. She has consolidated the democratic base that

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Speaker 1: is the source of.

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Speaker 3: A lot of her momentum in the polls.

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Speaker 1: Now she has improved among independence according to the polling crosstads,

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Speaker 1: et cetera. So she is picking up ground there, But

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Speaker 1: where her strength has really come in is reconsolidating that

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Speaker 1: democratic base, reconstituting that sort of like Obama style coalition,

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Speaker 1: getting young people to back you strongly, getting people color

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Speaker 1: to back you strongly, etc.

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Speaker 3: It looks more like what you would.

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Speaker 1: Expect the traditional democratic coal to reflect. And the you know,

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Speaker 1: uniformity of the like positive reviews for Kamala among Democrats

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Speaker 1: is indicative of that. Now let's go ahead and put

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Speaker 1: up the gender divide here, which is really interesting, really interesting.

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Speaker 1: So when you ask women about Kamala, top two are

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Speaker 1: smart and strong. Now incompetent also shows up there, but

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Speaker 1: many more positives here. So you've got leader, strong, smart, intelligent, honest.

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Speaker 1: You also have in smaller print here incompetent. But still

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Speaker 1: you know, one of the major charges unfavorable, unqualified. Those

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Speaker 1: are some of the negatives that some women had about her.

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Speaker 1: But you flip to the male. First of all, it's

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Speaker 1: funny that woman is one of the words that pops up,

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Speaker 1: but the number one is liberal and incompetent. Those are

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Speaker 1: appear to be like roughly the same size there, so

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Speaker 1: roughly coming in at the same level.

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Speaker 2: You do have some.

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Speaker 1: Positives here, you have strong, you have awesome, you have leader,

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Speaker 1: and you also have terrible, you have idiot, you have bad.

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Speaker 1: So you know, you can even just jumping off the

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Speaker 1: page that you hear some of the gender divide, which

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Speaker 1: I do think is going to be a central dynamic

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Speaker 1: in this race.

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Speaker 3: Moving into the fall.

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Speaker 2: Yes, absolutely, I mean I'm doing my home monologue on this.

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Speaker 2: My monogue is more about gen Z men and women.

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Speaker 2: But this has long time been a major divide in

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Speaker 2: US politics. I also think, but this is part of

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Speaker 2: my thing is if we're in an election, and this

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Speaker 2: is an election where I think that the female vote

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Speaker 2: has probably never mattered more than ever before because of

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Speaker 2: the high level of enthusiasm, I'll show people in my

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Speaker 2: monologue the split between gen Z women and men on abortion.

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Speaker 2: It's almost like a forty point swing in terms of salience,

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Speaker 2: just in terms of what people think is important or not.

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Speaker 2: So you may be pro life or pro choice, but

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Speaker 2: you're like whatever, you know, I mean, I count myself

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Speaker 2: on that.

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Speaker 3: Yeah, I mean it's very logical. Yes, yes, one group,

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Speaker 3: but much more directly.

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Speaker 2: In the past.

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Speaker 4: Yeah.

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Speaker 2: So this is not to put anybody down, just to

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Speaker 2: say if I was a Democrat, I would want the

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Speaker 2: female vote because there's a lot of women out there

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Speaker 2: who are probably we're voting at higher levels than ever before.

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Speaker 2: And in a game of margins where Trump won the

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Speaker 2: twenty sixteen election, let's say, what was it sixty thousand

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Speaker 2: votes across four states. Yeah, the margin of loss was

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Speaker 2: roughly eighty thousand votes, again across four states. I mean,

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Speaker 2: every single vote matters. So if you have a highly

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Speaker 2: dedicated coalition, people who are been proven records of coming

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Speaker 2: out to vote, I mean in politics, that's as good

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Speaker 2: as goals as you can ever get. So, like I said,

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Speaker 2: I want if I'm a Democrat, you need a woman

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Speaker 2: at the top of the ticket. Forget all this you know, sexism, nonsense.

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Speaker 2: The question then is can you still win white men

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Speaker 2: at that same category? As it comes back to our

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Speaker 2: I believe our Tuesday panel. I pulled the numbers from

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Speaker 2: Pew Research. Trump won twenty sixteen the white male vote

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Speaker 2: by thirty points, won it only by seventeen points. That

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Speaker 2: thirteen point swing is exactly why Joe Biden is the

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Speaker 2: president today. The only category of a demographic that actually

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Speaker 2: switched in the direction of Joe Biden, and that Trump

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Speaker 2: didn't win. But there's so many white people in the country.

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Speaker 2: I think seventy percent of the electorate is white. And

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Speaker 2: when we think about that, we know then the sheer

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Speaker 2: numbers here for both Kama and Trump. Triangulating and thinking

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Speaker 2: about how to balance, you know, the women category and

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Speaker 2: men together is going to be very difficult. So I

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Speaker 2: could actually see it kind of going both ways. But

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Speaker 2: that chart just shows to me how different messaging and

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Speaker 2: how it's hitting. Just remember you know this a bit.

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Speaker 2: Not only are we all divided by many other things,

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Speaker 2: gender is another major one as well.

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Speaker 1: Yeah, I mean the incompetent thing is a problem for her.

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Speaker 1: It's a big problem for her, and you know, they

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Speaker 1: need to figure out how I knew she's She's always

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Speaker 1: been very cautious politician. She doesn't like to go into

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Speaker 1: unfriendly spaces. She is uncomfortable even in more friendly spaces.

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Speaker 1: She has always her staff has always kept her very

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Speaker 1: sort of coseted and been very careful about who they

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Speaker 1: put her ound to. And we know why because she's

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Speaker 1: had multiple instances when she's been really caught off guard

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Speaker 1: and very flat footed, and it has not gone well

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Speaker 1: for her when she has been caught on the back foot.

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Speaker 1: So they need to figure out a way to alleviate

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Speaker 1: those concerns of incompetence, because what does that speak to, Like,

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Speaker 1: we don't really think that you're ready to be president

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Speaker 1: of the United States. And there's a reason why people

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Speaker 1: think that, you know her, her presidential campaign did not

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Speaker 1: go well, and part of why it didn't go well

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Speaker 1: was because of her incompetence in managing it.

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Speaker 3: So they need to that is a key vulnerability.

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Speaker 1: That they really need to deal with if they're going

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Speaker 1: to persuade indepenant voters and the American people in general

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Speaker 1: who have never seen you know, a we'll say biracial Now,

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Speaker 1: given the conversation today woman president, that she's ready for

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Speaker 1: the job.

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Speaker 3: I think the.

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Speaker 1: Part of how Obama was able to become, you know,

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Speaker 1: this historic figure was because the perception was that his

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Speaker 1: campaign was a freakin' well oiled machine, which it was

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Speaker 1: and it was, and people thought, Okay, if you can

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Speaker 1: do this, like, of course, it's not the same as

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Speaker 1: running the country, but it is a very complex undertaking

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Speaker 1: and you rose to the occasion. Now, Kamlin does have

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Speaker 1: an advantage in that she did have to build this

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Speaker 1: organization it's all there in a box for her. So

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Speaker 1: you know, perhaps that's an advantage for her. Perhaps she

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Speaker 1: since Biden has basically like disappeared and is basically not

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Speaker 1: really even president anymore, maybe you know, her stepping were

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Speaker 1: fully into that role in terms of the public perception,

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Speaker 1: maybe that helps her beat the incompetent charge. But I

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Speaker 1: do think that is a really key and core weakness

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Speaker 1: for her, And I guess the other thing I would

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Speaker 1: say is perhaps her VP pick can help give people

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Speaker 1: some comfort, because that was the other key for Obama too,

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Speaker 1: was he brought in Joe Biden, who's this you know,

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Speaker 1: moderate white dude who people were like, all right, that

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Speaker 1: guy can see in a position of power, and that

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Speaker 1: also helped to give people comfort about the overall ticket.

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Speaker 2: Very smart I put out yesterday, I said there is

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Speaker 2: no chance commic could survive a real eighteen month run

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Speaker 2: for Potus. Her primary run fell apart through interviews, multip debates,

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Speaker 2: et cetera. But now she's only got a duck and

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Speaker 2: hide for ninety seven days. At tweeted this yesterday, So

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Speaker 2: ninety six days today and friendly spaces commit to a

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Speaker 2: single debate. That's a major structural problem. For ours. I

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Speaker 2: still believe that it is such a massive advantage for

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Speaker 2: her to basically just be annoyed to be given the

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Speaker 2: campaign in a box. You have a campaign manager, you've

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Speaker 2: got unbelievable about some money, you got baked in coalition,

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Speaker 2: who's ready, fired up, ready to go, as someone might say,

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Speaker 2: against Donald Trump, and just don't really sit down for

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Speaker 2: any crazy interviews.

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Speaker 3: Now.

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Speaker 2: I think that's an abhorrent and terrible thing. She should

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Speaker 2: do at least two debates. I hope that she would

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Speaker 2: do three, especially given you know how late she entered

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Speaker 2: into the race. She hasn't yet done a critical interview.

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Speaker 2: I believe Joe Biden only dropped out of the race

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Speaker 2: eleven days ago. I mean, that's plenty of time. We

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Speaker 2: need one of those one. I would even take, you

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Speaker 2: know what, take a friendly interviewer. I don't care, you

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Speaker 2: know even that if this nab nabj event, you know,

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Speaker 2: it's probably the friendliest media environment that she was gonna get.

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Speaker 2: Just go, just take you have to answer questions, sit

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Speaker 2: down with Stephanopoulos, Chuck Todd, whatever, any of these people.

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Speaker 2: Are they going to challenge you a ton? No? Not really,

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Speaker 2: But even Lester Holt, I mean, he asked her the

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Speaker 2: most basic question of all the time. He's like, so,

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Speaker 2: have you been to the border? She said, we have

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Speaker 2: been to the border. He's like, but you haven't been literally,

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Speaker 2: She's like, but we have been to the border. And

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Speaker 2: I'm still trying to decipher.

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Speaker 3: He and then what we haven't gone yet?

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Speaker 4: Well?

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Speaker 2: Yeah, it's like okay, yeah, right, yeah, I.

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Speaker 1: Mean, but that's the thing, is that that Kamala will emerge.

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Speaker 2: Yeah.

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Speaker 1: Right, So far it's been nothing but positive for her. Right,

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Speaker 1: She's doing rally, She's doing a great job. She's not

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Speaker 1: Joe Biden. Right, She's got this fresh appearance. She feels

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Speaker 1: like the new kid on the block, even though that

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Speaker 1: seems preposterous. She's you know, some what is she close

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Speaker 1: to thirty years younger than Donald Trump?

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Speaker 2: I think she's fifty nine.

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Speaker 3: Yeah, she's fifty nine. She looks fantastic for age.

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Speaker 1: By the way, everybody's doing the comparison with her and

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Speaker 1: Tim Wallace, the same age, and he looks like he's

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Speaker 1: like forty years older than her. He blames it on

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Speaker 1: the high school kids anyway. Yeah, so she's gonna have

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Speaker 1: to take some risks, and she's going to have to

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Speaker 1: show that she has that she's improved, you know, she

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Speaker 1: if she does appearances where those same vulnerabilities come up,

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Speaker 1: those concerns about whether or not this is really a

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Speaker 1: person you can see his commander in chief, whether this

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Speaker 1: is a person who was really up to the job,

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Speaker 1: those are going to become central. And I think in

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Speaker 1: a sense they already are central. So that's to me

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Speaker 1: a real warning sign for her. Let's go and take it.

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Speaker 1: This was amusing to me to take a look at

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Speaker 1: the age group breakdown for Kamala Harris. Okay, so you

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Speaker 1: know this also won't really surprise you, although it is

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Speaker 1: kind of a reversal of where things were under Joe Biden,

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Speaker 1: which is why I say, you know, I think I

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Speaker 1: do think these things are more fluid than perhaps we've

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Speaker 1: given credit for young people really like Kamala Harris. The

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Speaker 1: number one thing is strong. Then you get awesome, optimistic, lucky,

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Speaker 1: that's a funny one, nice, brave, smart. Also, if you

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Speaker 1: look on the left side of the graphic, there in

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Speaker 1: relatively small print but still abusing, is brat charismatic, independent, leader, empowering, honest, cool,

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Speaker 1: very few there are a few up here, but very few.

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Speaker 3: Negative descriptors.

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Speaker 1: Among the young demographic, you've got bad, dishonest, incompetent also

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Speaker 1: shows up, but the overwhelming majority of the words are positive,

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Speaker 1: and you know, certainly the largest descriptors for that group

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Speaker 1: are pop. If you go to the other end of

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Speaker 1: the spectrum sixty five plus, this was an area where

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Speaker 1: Joe Biden had some strength. This was like the group

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Speaker 1: that was holding up the best for him over everybody.

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Speaker 1: And the two words here that jump out in very

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Speaker 1: large print are liberal and incompetent. Now, it's interesting to

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Speaker 1: me and perhaps this is where the battleground really is.

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Speaker 1: In those you know, thirty to forty nine and also

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Speaker 1: the fifty to sixty four, there isn't one descriptor that

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Speaker 1: really dominates. It's sort of like, you know, people are

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Speaker 1: a little all over the place and the juries kind

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Speaker 1: of still out. There wasn't just one thing that people

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Speaker 1: thought of when Kamala Harris was put to them. You see,

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Speaker 1: under thirty to forty nine, you get awesome, powerful, you

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Speaker 1: also get terrible, you get liberal, you get bad.

435
00:19:41,000 --> 00:19:42,119
Speaker 3: You get smart, you get strong.

436
00:19:42,600 --> 00:19:45,800
Speaker 1: Fifty to sixty four, you see incompetent is probably the

437
00:19:45,880 --> 00:19:48,040
Speaker 1: largest one there, but it doesn't jump out nearly as

438
00:19:48,119 --> 00:19:51,080
Speaker 1: much as in the sixty five plus fake, I think

439
00:19:51,200 --> 00:19:55,399
Speaker 1: is another real vulnerability for her smart leader weak woman,

440
00:19:55,720 --> 00:20:00,480
Speaker 1: horrible liberal strong. So again those age demographic it's a

441
00:20:00,480 --> 00:20:03,960
Speaker 1: little less clear the verdict on Kamala Harris as among

442
00:20:04,000 --> 00:20:05,639
Speaker 1: the youngest and the oldest demographics.

443
00:20:05,720 --> 00:20:08,840
Speaker 2: Yeah, I think the incompetent one is. Look considering if

444
00:20:08,840 --> 00:20:10,680
Speaker 2: we know the voting rates, what is a fifty percent

445
00:20:10,680 --> 00:20:12,920
Speaker 2: of Gen Z vote or eighteen year olds to twenty

446
00:20:13,000 --> 00:20:15,040
Speaker 2: nine year olds vote, but it's like eighty percent. The

447
00:20:15,080 --> 00:20:17,840
Speaker 2: higher up you go, especially about sixty five and eighty,

448
00:20:18,000 --> 00:20:21,120
Speaker 2: incompetent just looks like the best bet, especially when we consider, yeah,

449
00:20:21,200 --> 00:20:24,439
Speaker 2: across all the groups, so the age group, especially with

450
00:20:24,480 --> 00:20:27,080
Speaker 2: old people. And then let's also think about the demographics

451
00:20:27,080 --> 00:20:29,560
Speaker 2: of the key swing states. There's a new battleground poll

452
00:20:29,560 --> 00:20:31,639
Speaker 2: we were both looking at. What was it this morning

453
00:20:31,680 --> 00:20:35,159
Speaker 2: that showed her actually up a little bit in Pennsylvania

454
00:20:35,240 --> 00:20:39,359
Speaker 2: but tiede in Michigan and tiede in Wisconsin. And though

455
00:20:39,480 --> 00:20:42,480
Speaker 2: that's really where I would be worried, that is a

456
00:20:42,600 --> 00:20:48,639
Speaker 2: disproportionately white, older state population wise, the dynamic sun belt

457
00:20:48,720 --> 00:20:51,879
Speaker 2: of Atlanta and all that might actually show you you know,

458
00:20:52,000 --> 00:20:54,480
Speaker 2: Georgia could possibly be in play under Kama, which was

459
00:20:54,560 --> 00:20:58,000
Speaker 2: very unexpected. Arizona, though the polling did not look particularly good.

460
00:20:58,080 --> 00:21:01,400
Speaker 2: Nevada as well, another very very dynast state where things

461
00:21:01,440 --> 00:21:03,960
Speaker 2: are very fluid and up for grabs in a way

462
00:21:03,960 --> 00:21:05,359
Speaker 2: that they weren't last time around.

463
00:21:05,480 --> 00:21:05,640
Speaker 3: Yeah.

464
00:21:05,720 --> 00:21:05,880
Speaker 5: Yeah.

465
00:21:05,880 --> 00:21:07,919
Speaker 2: If I think about the various demographics and who you

466
00:21:07,960 --> 00:21:09,880
Speaker 2: really need to triangulate on, I'm going for the old

467
00:21:09,920 --> 00:21:11,000
Speaker 2: white people in the Midwest.

468
00:21:11,520 --> 00:21:14,480
Speaker 1: It looks like the Harris campaign is trying to put

469
00:21:14,480 --> 00:21:17,000
Speaker 1: North Carolina in play. Yes, that's right, And it looks

470
00:21:17,040 --> 00:21:19,640
Speaker 1: like the Trump campaign is concerned that North Carolina could.

471
00:21:19,480 --> 00:21:21,439
Speaker 2: Be in North Carolina's a very dynamic state, is a

472
00:21:21,560 --> 00:21:24,920
Speaker 2: massive in population. Raleigh and Charlotte are two of the

473
00:21:24,960 --> 00:21:27,920
Speaker 2: biggest booming cities for young people, I believe under the

474
00:21:27,960 --> 00:21:31,680
Speaker 2: age of thirty, highest job market for college graduates, low

475
00:21:31,720 --> 00:21:34,960
Speaker 2: cost of living, decent weather. You know to what previous

476
00:21:35,160 --> 00:21:38,600
Speaker 2: North Carolo Tier two city, not really a state that

477
00:21:38,920 --> 00:21:41,040
Speaker 2: it wasn't like Austin. Let's say that four years ago.

478
00:21:41,080 --> 00:21:42,919
Speaker 2: But right, all the data that I've seen that's come

479
00:21:42,960 --> 00:21:44,640
Speaker 2: out in the last six months, I'm like, man, North

480
00:21:44,640 --> 00:21:47,080
Speaker 2: Carolina is booming. So you know when you have new

481
00:21:47,080 --> 00:21:49,960
Speaker 2: people coming in. That's especially we're young. That makes it

482
00:21:50,000 --> 00:21:51,320
Speaker 2: more of a backgrounds.

483
00:21:50,840 --> 00:21:54,040
Speaker 1: Liberal retirees love them some Asheville, North Carolina, okay and.

484
00:21:54,480 --> 00:21:55,160
Speaker 2: Not so great.

485
00:21:55,240 --> 00:21:58,240
Speaker 1: It's a lovely, lovely sort of like hippie crunchy town

486
00:21:58,320 --> 00:22:00,960
Speaker 1: in the foothills of the mountains there. So in any case,

487
00:22:01,320 --> 00:22:03,080
Speaker 1: you had the reason I say that it looks like

488
00:22:03,160 --> 00:22:04,679
Speaker 1: Harris is trying to put it on the map, and

489
00:22:04,720 --> 00:22:06,480
Speaker 1: it looks like the Trump campaign is a little.

490
00:22:06,240 --> 00:22:08,800
Speaker 3: Concerned about it is because both.

491
00:22:08,560 --> 00:22:10,520
Speaker 1: Of them are going up on the air with significant

492
00:22:10,520 --> 00:22:12,240
Speaker 1: adviys in the state of North Carolina.

493
00:22:12,320 --> 00:22:13,800
Speaker 3: Now, sometimes campaigns do that.

494
00:22:13,720 --> 00:22:17,160
Speaker 1: As just like sort of a what is the word,

495
00:22:17,320 --> 00:22:20,880
Speaker 1: like a fate, A headfake, I guess is the right term,

496
00:22:20,960 --> 00:22:23,760
Speaker 1: because they want their opponent to think they got to

497
00:22:23,760 --> 00:22:25,520
Speaker 1: spend money there and sort of draw them into a

498
00:22:25,560 --> 00:22:27,840
Speaker 1: contest when they're not really trying to put it in play.

499
00:22:27,840 --> 00:22:29,399
Speaker 1: That could be some of what's going on here. But

500
00:22:29,760 --> 00:22:31,520
Speaker 1: I looked back Joe Biden only lost it, but I

501
00:22:31,560 --> 00:22:33,439
Speaker 1: think like one point eight percentage points, so it's not

502
00:22:33,480 --> 00:22:35,919
Speaker 1: like it was a blowout. And when you consider what

503
00:22:36,040 --> 00:22:39,840
Speaker 1: the different coalitions look like, Obama won North Carolina. And

504
00:22:40,040 --> 00:22:42,160
Speaker 1: so if they're saying, hey, we're putting the Obama coalition

505
00:22:42,240 --> 00:22:44,679
Speaker 1: back together, maybe this state is in play for us

506
00:22:44,680 --> 00:22:46,560
Speaker 1: in a way that it wasn't for Joe Biden. It's

507
00:22:46,600 --> 00:22:48,720
Speaker 1: not the craziest idea in the world. And I think

508
00:22:48,760 --> 00:22:51,280
Speaker 1: the overall picture for Kamala, I mean, it's obvious at

509
00:22:51,280 --> 00:22:55,520
Speaker 1: this point she's outperforming Joe Biden wildly, and not just

510
00:22:55,640 --> 00:22:58,919
Speaker 1: his post debate performance. She's also outperforming where he was

511
00:22:59,359 --> 00:23:04,160
Speaker 1: at his back during this race, but not during twenty twenty.

512
00:23:04,200 --> 00:23:06,160
Speaker 1: He was way up at this point in twenty twenty.

513
00:23:06,200 --> 00:23:08,119
Speaker 1: So we also have to be clear about that she

514
00:23:08,240 --> 00:23:10,280
Speaker 1: has way more pods to two seventy than he did.

515
00:23:10,560 --> 00:23:12,760
Speaker 1: He really was narrowed down to like, all right, you

516
00:23:12,800 --> 00:23:14,920
Speaker 1: got to go all in on the like old white

517
00:23:14,960 --> 00:23:19,280
Speaker 1: people in the rust Belt, and she because her coalition

518
00:23:19,359 --> 00:23:22,520
Speaker 1: is different there's it really does expand the map and

519
00:23:22,720 --> 00:23:25,080
Speaker 1: potentially put a state like North Carolina in player at

520
00:23:25,160 --> 00:23:26,960
Speaker 1: least forced the Trump campaign to have to think about

521
00:23:26,960 --> 00:23:27,760
Speaker 1: a stately looking at.

522
00:23:27,680 --> 00:23:30,800
Speaker 2: The lit dada. Obama won it in eight forty nine

523
00:23:30,800 --> 00:23:34,120
Speaker 2: point seven to McCain's forty nine point three, lost it

524
00:23:34,280 --> 00:23:38,480
Speaker 2: in two thousand and twelve, with Romney at fifty point

525
00:23:38,560 --> 00:23:40,719
Speaker 2: six and forty eight. So actually it's been relatively in

526
00:23:40,800 --> 00:23:44,720
Speaker 2: play and tight close, almost like Georgia esque numbers where yeah,

527
00:23:44,800 --> 00:23:47,480
Speaker 2: it was a sleeper swing state, but Obama won in

528
00:23:47,520 --> 00:23:49,280
Speaker 2: two thousand and eight, people thought it was kind of

529
00:23:49,280 --> 00:23:51,480
Speaker 2: a flash in the pan. But yeah, last time around,

530
00:23:51,520 --> 00:23:52,960
Speaker 2: and like I just said, you got all these young

531
00:23:53,000 --> 00:23:55,920
Speaker 2: people who are moving into the state, Charlotte economy and

532
00:23:55,960 --> 00:23:58,040
Speaker 2: all that is boomy. You got the democratic governor. You know,

533
00:23:58,080 --> 00:24:00,760
Speaker 2: these are all like signs of decent funda metals for

534
00:24:00,880 --> 00:24:03,840
Speaker 2: if there were a flip, could it could be this

535
00:24:03,920 --> 00:24:04,359
Speaker 2: time around?

536
00:24:04,400 --> 00:24:05,680
Speaker 3: So it's not crazy to think.

537
00:24:05,720 --> 00:24:07,679
Speaker 1: All right, let's go ahead and move on to the

538
00:24:07,840 --> 00:24:12,120
Speaker 1: JD Vance word clouds. And these were also really interesting.

539
00:24:12,119 --> 00:24:13,760
Speaker 1: All right, put the first one up on the screen.

540
00:24:13,800 --> 00:24:20,280
Speaker 1: This is the overall When you ask voters in general, right, left, center, old, young, everything,

541
00:24:20,840 --> 00:24:25,680
Speaker 1: the number one word that jumps out unknown, number two, unsure,

542
00:24:26,400 --> 00:24:32,240
Speaker 1: number three, weird, You get conservative, bad, idiot. But you know,

543
00:24:32,600 --> 00:24:37,680
Speaker 1: I think this shows some Uh it's a positive for

544
00:24:37,680 --> 00:24:40,600
Speaker 1: the Trump campaign in that they still have a chance

545
00:24:40,600 --> 00:24:43,679
Speaker 1: to define him, like he hasn't been fully defined. But

546
00:24:43,720 --> 00:24:46,120
Speaker 1: I also say it's the real best for them, because

547
00:24:46,720 --> 00:24:50,840
Speaker 1: Democrats are aggressively working to define him right now, and

548
00:24:51,119 --> 00:24:52,840
Speaker 1: Republicans will show you that. I mean, we'll show you

549
00:24:52,880 --> 00:24:55,960
Speaker 1: this with the the Trump comments at the NABJ. They

550
00:24:56,200 --> 00:24:59,439
Speaker 1: aren't really doing much to defend him at this point

551
00:24:59,480 --> 00:25:02,240
Speaker 1: and to def find him in a different way than

552
00:25:02,280 --> 00:25:05,320
Speaker 1: what Democrats are trying to do. So it's both like,

553
00:25:05,560 --> 00:25:07,640
Speaker 1: you know, it's an opportunity for the Republicans, but it's

554
00:25:07,640 --> 00:25:10,920
Speaker 1: also a risk because you could get into a situation

555
00:25:11,080 --> 00:25:14,359
Speaker 1: like Obama with Romney back in twenty twelve, where he

556
00:25:14,680 --> 00:25:17,680
Speaker 1: came out so early and so aggressively defined Mitt Romney

557
00:25:17,960 --> 00:25:21,120
Speaker 1: and that caricature was close enough to reality that it's

558
00:25:21,160 --> 00:25:23,640
Speaker 1: stuck that there was nothing they could do to change

559
00:25:23,640 --> 00:25:25,200
Speaker 1: the public perception of Mitt Romney.

560
00:25:25,280 --> 00:25:27,160
Speaker 3: Is this like, you know, plutocratic elite.

561
00:25:27,359 --> 00:25:30,000
Speaker 1: So Democrats very much want that word reared to be

562
00:25:30,000 --> 00:25:31,680
Speaker 1: the number one thing you think of with JD.

563
00:25:31,800 --> 00:25:33,240
Speaker 3: Vance and they're not there yet.

564
00:25:33,280 --> 00:25:34,719
Speaker 1: And we'll show you this will be really clear when

565
00:25:34,760 --> 00:25:37,119
Speaker 1: we get to like the partisan breakdown, et cetera. But

566
00:25:38,080 --> 00:25:42,960
Speaker 1: there isn't an alternative Republican descriptor that is popping out

567
00:25:42,960 --> 00:25:43,520
Speaker 1: here at all.

568
00:25:43,840 --> 00:25:46,960
Speaker 2: I agree, it's an issue for JD And the main

569
00:25:47,000 --> 00:25:49,560
Speaker 2: problem is what do we all know about Donald Trump?

570
00:25:49,600 --> 00:25:51,760
Speaker 2: If you ever upstage him, he will cut your legs

571
00:25:51,800 --> 00:25:54,120
Speaker 2: out from underneath you. So yeah, Jadi is not really

572
00:25:54,119 --> 00:25:55,919
Speaker 2: in a position to be defending himself.

573
00:25:56,000 --> 00:25:56,639
Speaker 3: It's not set up to.

574
00:25:57,160 --> 00:25:59,560
Speaker 2: He doesn't need like it would be the worst. The

575
00:25:59,600 --> 00:26:02,800
Speaker 2: worst possible thing for him would not be to combat

576
00:26:02,840 --> 00:26:05,640
Speaker 2: Kamala Harrison weird. It would be to become the main

577
00:26:05,680 --> 00:26:08,840
Speaker 2: storyline and to upstage Donald Trump. And if he started,

578
00:26:09,000 --> 00:26:12,240
Speaker 2: you know, giving high profile interviews and aggressively trying to

579
00:26:12,280 --> 00:26:14,600
Speaker 2: go back against this, then Trump would be furious to

580
00:26:14,720 --> 00:26:16,320
Speaker 2: him and be like, who does this guy think he is?

581
00:26:16,359 --> 00:26:18,040
Speaker 2: I mean, he already saw underccurrence of that with the

582
00:26:18,160 --> 00:26:19,760
Speaker 2: Nabj answer, which we will.

583
00:26:19,600 --> 00:26:23,280
Speaker 1: Get to agree, because I think most of the storylines

584
00:26:23,280 --> 00:26:25,760
Speaker 1: about the Trump campaign over the past two weeks have

585
00:26:25,840 --> 00:26:27,240
Speaker 1: been about Jah, which.

586
00:26:27,160 --> 00:26:29,960
Speaker 2: Drives Trump crazy because I actually saw somebody say this,

587
00:26:30,000 --> 00:26:31,680
Speaker 2: somebody who was close to Trump. They're like, Trump would

588
00:26:31,720 --> 00:26:33,000
Speaker 2: not pick a running mate at all if he was

589
00:26:33,040 --> 00:26:36,640
Speaker 2: not legally required to, because the eightes having anybody else

590
00:26:36,640 --> 00:26:40,080
Speaker 2: to share his spotlight, anybody else on his name. That's

591
00:26:40,080 --> 00:26:42,479
Speaker 2: something that we know well about him. So let's put

592
00:26:42,520 --> 00:26:44,840
Speaker 2: this up there on the A two B. Please the

593
00:26:44,920 --> 00:26:48,360
Speaker 2: JD vans across the categories. So the Democrats have very

594
00:26:48,359 --> 00:26:51,240
Speaker 2: clearly won the weird war, although you know, unknown is

595
00:26:51,280 --> 00:26:54,880
Speaker 2: still the number two word that Democrats associate. So it's

596
00:26:54,880 --> 00:26:58,800
Speaker 2: one of those where clearly amongst Democrats has reached high staliens.

597
00:26:58,840 --> 00:27:06,119
Speaker 2: When you look though at Independence, you see unknown, unsure, smart, idiot, bad, fake, IDK,

598
00:27:06,520 --> 00:27:10,000
Speaker 2: I personally like IDK. And then amongst Republicans, unknown is

599
00:27:10,000 --> 00:27:12,680
Speaker 2: the second largest word, and conservative, from.

600
00:27:12,560 --> 00:27:15,520
Speaker 1: Which conservative is just like, I mean, it's that's fine,

601
00:27:15,920 --> 00:27:18,720
Speaker 1: but yeah, it's not like. That was my point about

602
00:27:19,240 --> 00:27:23,359
Speaker 1: there's not an alternative competing vision of who JD Vance

603
00:27:23,480 --> 00:27:26,480
Speaker 1: is that's really breaking through. I mean, when Trump has

604
00:27:26,560 --> 00:27:29,439
Speaker 1: tried to defend him, he's talked about like, oh well,

605
00:27:29,720 --> 00:27:31,760
Speaker 1: he loves the family, and he's talked about always really

606
00:27:31,760 --> 00:27:34,320
Speaker 1: in touch with the working man. You don't see any

607
00:27:34,320 --> 00:27:35,639
Speaker 1: of that in here, none of it.

608
00:27:36,119 --> 00:27:36,479
Speaker 3: Actually.

609
00:27:36,520 --> 00:27:42,280
Speaker 2: Instead, what you see is it's like smart, IDK, cool, uncertain, unpredictable.

610
00:27:42,280 --> 00:27:45,080
Speaker 2: These are amongst Republicans unfamiliar. Clearly people don't know anything

611
00:27:45,080 --> 00:27:47,200
Speaker 2: about him. That actually kind of explains to why Hillbilly

612
00:27:47,200 --> 00:27:50,120
Speaker 2: elergy is skyrocketed to the top of the bestseller list,

613
00:27:50,160 --> 00:27:52,920
Speaker 2: and He'llbilly Elogy in the movie. I think it's downloaded

614
00:27:52,920 --> 00:27:54,720
Speaker 2: movie on Netflix, which people like who is who is

615
00:27:54,720 --> 00:27:57,200
Speaker 2: this guy? Which again is a great reminder. I bet

616
00:27:57,240 --> 00:27:59,399
Speaker 2: you ninety percent of the people who traditionally watched the

617
00:27:59,400 --> 00:28:02,359
Speaker 2: show know is but we're going to never forget. Most

618
00:28:02,359 --> 00:28:05,399
Speaker 2: Americans do not pay attention at all to politics. I

619
00:28:05,440 --> 00:28:07,600
Speaker 2: do think JD is in a very difficult position. The

620
00:28:07,680 --> 00:28:10,520
Speaker 2: weird thing is one that Democrats and the media are

621
00:28:10,560 --> 00:28:13,200
Speaker 2: repeating over and over again, and Republicans don't want to

622
00:28:13,240 --> 00:28:15,680
Speaker 2: be in a position of defending their vice president because

623
00:28:15,960 --> 00:28:18,480
Speaker 2: if they are, it would be seen as upstaging Donald

624
00:28:18,480 --> 00:28:21,320
Speaker 2: Trump vance himself. I mean, look, when you're the vice president,

625
00:28:21,480 --> 00:28:24,120
Speaker 2: I've been reading his speeches. I'll just say this, I've

626
00:28:24,119 --> 00:28:26,800
Speaker 2: known of his speeches and listened to them for a while.

627
00:28:27,119 --> 00:28:28,960
Speaker 2: This is not how he would traditionally speak. I'll just

628
00:28:29,000 --> 00:28:30,879
Speaker 2: put it that way. It is clear to me. What

629
00:28:30,920 --> 00:28:33,520
Speaker 2: do you mean by it's just it's so cookie cutter,

630
00:28:33,720 --> 00:28:34,720
Speaker 2: very very basic.

631
00:28:34,840 --> 00:28:37,080
Speaker 3: Yeah, it's like it feels very uncomfortable for me.

632
00:28:37,160 --> 00:28:40,240
Speaker 2: It just looks like first grade reading level. And look,

633
00:28:40,360 --> 00:28:43,000
Speaker 2: probably the right strategy, right. I mean, if we think

634
00:28:43,000 --> 00:28:45,040
Speaker 2: about that, even the New York Time is only written

635
00:28:45,040 --> 00:28:47,959
Speaker 2: for a fifth grade reading level or whatever. But you know,

636
00:28:48,000 --> 00:28:50,760
Speaker 2: it just does It doesn't come across what I think

637
00:28:50,800 --> 00:28:52,920
Speaker 2: are the strengths and all that he has. But at

638
00:28:52,920 --> 00:28:54,400
Speaker 2: the same time, like, that's what it means to be

639
00:28:54,440 --> 00:28:56,400
Speaker 2: vice president. You're signing up as a number two man.

640
00:28:56,480 --> 00:28:58,320
Speaker 2: You say whatever they tell you to say. Yeah, And

641
00:28:58,360 --> 00:29:00,959
Speaker 2: so you know, I don't know him. I do think

642
00:29:01,040 --> 00:29:03,600
Speaker 2: they're in a tough position just because again, his team

643
00:29:04,040 --> 00:29:07,480
Speaker 2: his team, and his job is to not make problems

644
00:29:07,520 --> 00:29:09,280
Speaker 2: for Trump, right, And let's be honest, it was a

645
00:29:09,360 --> 00:29:13,000
Speaker 2: problem for Trump. There's nothing Trump hates more than having

646
00:29:13,040 --> 00:29:16,080
Speaker 2: somebody who he doesn't even like. For in Trump's mind,

647
00:29:16,120 --> 00:29:18,200
Speaker 2: he can deal with anything as long as it's about him.

648
00:29:18,360 --> 00:29:21,360
Speaker 2: But whenever it's about others, it's like, oh, he'll throw

649
00:29:21,400 --> 00:29:24,320
Speaker 2: you under the bus instant, and he did yesterday. I mean,

650
00:29:24,520 --> 00:29:27,000
Speaker 2: it is certain. I mean the answer was weird because

651
00:29:27,000 --> 00:29:28,560
Speaker 2: he both defended him and then he was like, look,

652
00:29:28,640 --> 00:29:30,880
Speaker 2: this whole thing is moving because eat me.

653
00:29:31,760 --> 00:29:32,880
Speaker 3: But you know what was funny.

654
00:29:32,960 --> 00:29:36,080
Speaker 1: I did counterpoints with Emily yesterday and we did the

655
00:29:36,560 --> 00:29:38,480
Speaker 1: Conservative League Candeline, I want to watch.

656
00:29:38,400 --> 00:29:41,960
Speaker 3: Some of it. And when I asked them about.

657
00:29:41,760 --> 00:29:44,400
Speaker 1: Dad, that's a very similar answer, especially from an as

658
00:29:44,400 --> 00:29:46,880
Speaker 1: she was like, I don't really think vice president matters.

659
00:29:47,360 --> 00:29:49,080
Speaker 1: And so it's felt to me like, I don't want

660
00:29:49,080 --> 00:29:51,280
Speaker 1: to draw too much from that, but it felt to

661
00:29:51,280 --> 00:29:53,680
Speaker 1: me that that was kind of like the cope that

662
00:29:53,760 --> 00:29:56,480
Speaker 1: had gone out among Republicans of like, yeah, this is

663
00:29:56,520 --> 00:29:59,160
Speaker 1: all this is all irrelevant. Vice presidents don't really matter,

664
00:29:59,320 --> 00:30:01,960
Speaker 1: and I don't think that's really true. I know that

665
00:30:01,960 --> 00:30:06,040
Speaker 1: that's what a political scientist some will argue that when

666
00:30:06,080 --> 00:30:08,640
Speaker 1: you think about the vice presidential picks over the past

667
00:30:08,720 --> 00:30:11,280
Speaker 1: number of cycles, I think that they made a difference.

668
00:30:11,280 --> 00:30:12,720
Speaker 1: I mean, I think Mike Pence made a difference for

669
00:30:12,720 --> 00:30:13,960
Speaker 1: Donald Trump in twenty sixteen.

670
00:30:14,360 --> 00:30:15,800
Speaker 3: I think Sarah Palin was a problem.

671
00:30:15,880 --> 00:30:19,120
Speaker 1: Was initially very additive for John McCain when she first

672
00:30:19,120 --> 00:30:22,000
Speaker 1: came out, and she had tons of charisma and people like,

673
00:30:22,040 --> 00:30:24,040
Speaker 1: oh my god, this could be a problem for Democrats.

674
00:30:24,320 --> 00:30:26,080
Speaker 1: And then she sort of crashed and burned and became

675
00:30:26,080 --> 00:30:29,000
Speaker 1: a liability for him and showed a lack of seriousness

676
00:30:29,240 --> 00:30:31,200
Speaker 1: and a willingness to kind of like take risks with

677
00:30:31,240 --> 00:30:34,200
Speaker 1: the country future that was, you know, that doomed him ultimately.

678
00:30:34,520 --> 00:30:36,959
Speaker 1: I think Biden was important for Obama as that kind

679
00:30:37,000 --> 00:30:39,560
Speaker 1: of validator. Like we discussed, I think this vice presidential

680
00:30:39,640 --> 00:30:42,400
Speaker 1: pick for Kamala is going to be really important. And

681
00:30:42,600 --> 00:30:45,200
Speaker 1: the thing with Jadie Vance, I do think you could

682
00:30:45,320 --> 00:30:48,480
Speaker 1: argue for Trump because he's such a singular figure that

683
00:30:48,600 --> 00:30:51,560
Speaker 1: it is less consequential than like Kamala's pick. I think

684
00:30:51,560 --> 00:30:54,640
Speaker 1: that's completely fair to argue. But when Democrats want to

685
00:30:54,640 --> 00:30:58,760
Speaker 1: put the whole ticket in the like fringe, extreme weird bucket,

686
00:30:59,160 --> 00:31:02,200
Speaker 1: and you add a guy on the ticket who you

687
00:31:02,240 --> 00:31:04,959
Speaker 1: know is being labeled as that, and the label's kind

688
00:31:04,960 --> 00:31:10,760
Speaker 1: of sticking. And on the two issues that Trumps knows

689
00:31:10,840 --> 00:31:12,880
Speaker 1: himself that he has an issue on, which is abortion

690
00:31:13,000 --> 00:31:15,840
Speaker 1: in Project twenty twenty five, and JD brings baggage the

691
00:31:15,840 --> 00:31:19,560
Speaker 1: ticket on both it. You know, there were other choices.

692
00:31:19,640 --> 00:31:21,880
Speaker 1: Glenn Youngkin was sitting out there ready for the taken

693
00:31:21,960 --> 00:31:23,160
Speaker 1: to put Virginia in the in.

694
00:31:23,120 --> 00:31:23,800
Speaker 3: Play, you know.

695
00:31:24,000 --> 00:31:27,320
Speaker 1: And so it's not that I think JD. Vance is

696
00:31:27,360 --> 00:31:28,840
Speaker 1: going to like sink the ticket, but I think he

697
00:31:28,920 --> 00:31:31,600
Speaker 1: makes it easier for Democrats to make the case about

698
00:31:31,600 --> 00:31:33,960
Speaker 1: the ticket they want to make and frame it through

699
00:31:33,960 --> 00:31:35,280
Speaker 1: the prism that they want to frame it.

700
00:31:35,280 --> 00:31:36,840
Speaker 2: I don't necessarily disagree. I think a lot of it

701
00:31:36,880 --> 00:31:38,480
Speaker 2: is marginal, and that's why it's like did it matter?

702
00:31:38,560 --> 00:31:40,720
Speaker 2: Did not matter? I think Sarah Palin probably did matter.

703
00:31:40,760 --> 00:31:42,400
Speaker 2: But it's like, what was more impactful to two thousand

704
00:31:42,400 --> 00:31:44,520
Speaker 2: and financial crisis or Sarah Palin? It's like, Okay, well

705
00:31:44,560 --> 00:31:47,680
Speaker 2: I think we know the answer, you know here with Donald.

706
00:31:47,440 --> 00:31:49,600
Speaker 3: I'm not saying it's the only no, And I agree, Yeah.

707
00:31:49,440 --> 00:31:55,160
Speaker 2: Look, these are all multifaceted, multifactorial. There's so many confounding variables,

708
00:31:55,200 --> 00:31:58,040
Speaker 2: octobers to press. You know, you can never if anything,

709
00:31:58,040 --> 00:32:01,200
Speaker 2: the narrative is probably more important here. Yeah, I really

710
00:32:01,240 --> 00:32:03,240
Speaker 2: think I think if JD was running on his own,

711
00:32:03,320 --> 00:32:05,200
Speaker 2: he'd be in a much better position because you can

712
00:32:05,280 --> 00:32:07,840
Speaker 2: actually fight back kind of on your own terms. But

713
00:32:07,880 --> 00:32:10,640
Speaker 2: when you're hams strung as the number two man to

714
00:32:10,760 --> 00:32:14,360
Speaker 2: one of the most sensitive like candidates in modern probably

715
00:32:14,400 --> 00:32:17,920
Speaker 2: ever in modern history, who you know is sensitive to that?

716
00:32:17,960 --> 00:32:20,280
Speaker 2: I O, all presidents are sensitive about their number two

717
00:32:20,440 --> 00:32:22,880
Speaker 2: showing them. But but this is like dialed up to ten.

718
00:32:23,000 --> 00:32:25,280
Speaker 2: I mean, you basically just have to do whatever his

719
00:32:25,400 --> 00:32:28,480
Speaker 2: people tell you. To do. Yeah, I think that's a problem.

720
00:32:28,760 --> 00:32:30,920
Speaker 2: Can we put gender please up on the screen because

721
00:32:30,920 --> 00:32:34,080
Speaker 2: that also, you know, kind of underscores to me the

722
00:32:34,280 --> 00:32:37,760
Speaker 2: issue here too. If we're talking here about women candidates,

723
00:32:37,800 --> 00:32:40,000
Speaker 2: I mean unknown. And this is also where I would

724
00:32:40,040 --> 00:32:42,240
Speaker 2: say the weird thing belies it. I mean, look, he's

725
00:32:42,280 --> 00:32:45,400
Speaker 2: a recent Catholic convert and he believes very strongly in

726
00:32:45,520 --> 00:32:47,560
Speaker 2: being pro life. That's just all. Look, if you know,

727
00:32:47,560 --> 00:32:49,719
Speaker 2: I use my personal level, I know him, but if

728
00:32:49,760 --> 00:32:51,440
Speaker 2: I were running against him, that's all I would talk

729
00:32:51,440 --> 00:32:54,400
Speaker 2: about that period. I mean, he's said it literally on camera.

730
00:32:54,400 --> 00:32:55,720
Speaker 2: That's kind of the things you have to do whenever

731
00:32:55,720 --> 00:32:58,120
Speaker 2: you're running for a Republican race and you're going and

732
00:32:58,360 --> 00:33:01,040
Speaker 2: I think he won the Susan band en List for example,

733
00:33:01,120 --> 00:33:03,560
Speaker 2: endorsement in his race. Just play that on a loop.

734
00:33:03,600 --> 00:33:06,920
Speaker 2: I mean, that's one where it's very very easy to

735
00:33:07,080 --> 00:33:09,520
Speaker 2: drive that home. And to make it clear. Now, to

736
00:33:09,600 --> 00:33:12,360
Speaker 2: be fair, every single person on Trump's list, save for

737
00:33:12,480 --> 00:33:16,680
Speaker 2: Glenn Youngkin, was actually adamantly pro life. This is also

738
00:33:16,720 --> 00:33:19,160
Speaker 2: too where when we think about the context of the

739
00:33:19,200 --> 00:33:22,120
Speaker 2: vice presidential pick. The vice presidential pick for JD was

740
00:33:22,120 --> 00:33:24,600
Speaker 2: made in the context of Joe Biden's staying in this race,

741
00:33:24,880 --> 00:33:28,280
Speaker 2: and this is one where he was relatively confident, not

742
00:33:28,320 --> 00:33:30,959
Speaker 2: only about his victory, but he was concerned about a

743
00:33:31,200 --> 00:33:33,360
Speaker 2: secondary on the ticket who was going to be loyal

744
00:33:33,400 --> 00:33:35,560
Speaker 2: to him and loyal to his agenda at the very least.

745
00:33:35,560 --> 00:33:37,840
Speaker 2: That was important to his advisors and the people who

746
00:33:37,880 --> 00:33:40,040
Speaker 2: are picking him. Where he didn't know he was going

747
00:33:40,080 --> 00:33:41,880
Speaker 2: to be in a knife fight, you know, on abortion. Now,

748
00:33:41,920 --> 00:33:45,560
Speaker 2: would he have picked JD. Still, it's certainly possible, I think,

749
00:33:45,600 --> 00:33:50,880
Speaker 2: maybe even likely, considering what Trump you know, considers important.

750
00:33:50,880 --> 00:33:52,240
Speaker 2: But yeah, I think we'd be lying to say his

751
00:33:52,280 --> 00:33:54,400
Speaker 2: calculus would have been a little bit different if he

752
00:33:54,400 --> 00:33:56,080
Speaker 2: didn't know that Kamala was going to be in the race.

753
00:33:56,200 --> 00:34:00,440
Speaker 1: Yeah, yeah, I mean if Trump could keep the number

754
00:34:00,480 --> 00:34:03,680
Speaker 1: one descriptor of J. JD Vance at unknown, I think

755
00:34:03,680 --> 00:34:04,240
Speaker 1: you'd be happy with.

756
00:34:04,320 --> 00:34:06,080
Speaker 2: Yeah, it's the worst. We've had worse things.

757
00:34:06,240 --> 00:34:09,279
Speaker 1: That's not realistic. Right, He's going to get defined and

758
00:34:09,440 --> 00:34:13,080
Speaker 1: known to the American public between now and November, and

759
00:34:13,200 --> 00:34:17,279
Speaker 1: so h Trump better defend him because the Democrats are

760
00:34:17,320 --> 00:34:19,640
Speaker 1: certainly not going to lay off in how they're aggressively

761
00:34:19,680 --> 00:34:21,799
Speaker 1: seeking to define him. And what was interesting to me

762
00:34:21,840 --> 00:34:24,040
Speaker 1: actually about this gender divide is that there wasn't a

763
00:34:24,040 --> 00:34:25,080
Speaker 1: big one.

764
00:34:25,640 --> 00:34:26,439
Speaker 3: Men are more likely.

765
00:34:26,400 --> 00:34:33,520
Speaker 1: To say conservative, but all like both genders say in here, unknown, unsure, unknown, unsure,

766
00:34:33,560 --> 00:34:34,160
Speaker 1: and then weird.

767
00:34:34,640 --> 00:34:37,440
Speaker 3: So it was interesting to me. Actually, I was expecting

768
00:34:37,440 --> 00:34:37,680
Speaker 3: more of.

769
00:34:37,680 --> 00:34:40,160
Speaker 1: A gender divide in terms of the descriptors among men

770
00:34:40,200 --> 00:34:43,400
Speaker 1: and women and we that doesn't jump out at you

771
00:34:43,520 --> 00:34:47,080
Speaker 1: right here. I guess perhaps a positive is you don't

772
00:34:47,080 --> 00:34:51,799
Speaker 1: see like abortion on here anywhere or extreme. It may

773
00:34:51,840 --> 00:34:53,520
Speaker 1: be in there, but not as like one of the

774
00:34:53,560 --> 00:34:55,960
Speaker 1: main descriptors. But I think the weird thing is, I

775
00:34:56,000 --> 00:34:58,200
Speaker 1: think it's a problem. I think it's very trumpy and

776
00:34:58,640 --> 00:35:02,480
Speaker 1: type of descriptor that you know, it's impossible to refute, right,

777
00:35:02,719 --> 00:35:05,840
Speaker 1: And the more you refute it, you try to refute

778
00:35:05,880 --> 00:35:09,960
Speaker 1: it directly, the more you kind of play into the

779
00:35:09,960 --> 00:35:13,160
Speaker 1: the imprint of the word and you it's very hard

780
00:35:13,160 --> 00:35:13,880
Speaker 1: to beat the charges.

781
00:35:14,000 --> 00:35:15,680
Speaker 3: I would That's what I would say if.

782
00:35:15,520 --> 00:35:17,920
Speaker 2: I were them, I would not even utter the word weird.

783
00:35:17,880 --> 00:35:19,520
Speaker 1: Yeah, because the more you say it, the more it

784
00:35:19,640 --> 00:35:20,879
Speaker 1: just imprints the people's minds.

785
00:35:20,960 --> 00:35:23,560
Speaker 2: Like I read this weird you know speech Frunt that

786
00:35:23,600 --> 00:35:26,480
Speaker 2: he gave last night in Arizona. I was long asleep

787
00:35:26,480 --> 00:35:28,239
Speaker 2: by the time he delivered those remarks. But I read

788
00:35:28,239 --> 00:35:31,320
Speaker 2: it this morning and it was Kamala's fake commos independent,

789
00:35:31,360 --> 00:35:33,759
Speaker 2: Commo's liberal. I was like, okay, yeah, that's basically what

790
00:35:33,760 --> 00:35:35,879
Speaker 2: I would say. But at the same time, like I said,

791
00:35:35,960 --> 00:35:37,560
Speaker 2: when you run for number two, a lot of people

792
00:35:37,600 --> 00:35:39,279
Speaker 2: don't really care you know, what you have to say

793
00:35:39,400 --> 00:35:42,359
Speaker 2: or who you are. I'm basically with you, I don't

794
00:35:42,400 --> 00:35:44,759
Speaker 2: really I think unknown is probably the best you can

795
00:35:44,800 --> 00:35:47,200
Speaker 2: really hope for, you know, at this time, especially because

796
00:35:47,239 --> 00:35:49,960
Speaker 2: he cannot make an affirmative case for himself because that

797
00:35:50,000 --> 00:35:51,800
Speaker 2: would upstage him to Donald Trump.

798
00:35:51,880 --> 00:35:54,120
Speaker 3: It's not an enviable it's the.

799
00:35:54,040 --> 00:35:56,520
Speaker 2: Worst position that you could possibly be in. All right,

800
00:35:56,560 --> 00:35:57,080
Speaker 2: let's age.

801
00:35:57,160 --> 00:35:58,799
Speaker 1: Yeah, let's put age up on the screen. We can

802
00:35:58,840 --> 00:36:00,759
Speaker 1: take a look at this one. The breakdown here, this

803
00:36:00,840 --> 00:36:03,360
Speaker 1: was amusing to me. Eighteen to twenty nine. Instead of unknown,

804
00:36:03,440 --> 00:36:09,960
Speaker 1: it's IDK. You've got weird, is the it jumps out

805
00:36:10,000 --> 00:36:14,279
Speaker 1: the most. In the youngest demographic, In the oldest demographic,

806
00:36:14,680 --> 00:36:16,360
Speaker 1: you've got conservative.

807
00:36:16,040 --> 00:36:19,880
Speaker 3: Bad idiot unknown. But really, the thing you know that

808
00:36:20,239 --> 00:36:22,560
Speaker 3: is consistent across the board is unknown and unsure.

809
00:36:23,200 --> 00:36:24,000
Speaker 2: I don't know what he is.

810
00:36:24,200 --> 00:36:26,640
Speaker 1: Yeah, so I think that's like I said, I think

811
00:36:26,640 --> 00:36:30,000
Speaker 1: it's a real risk for the Trump campaign because the

812
00:36:30,120 --> 00:36:31,680
Speaker 1: longer it remains is unknown.

813
00:36:31,719 --> 00:36:32,279
Speaker 3: The war of an.

814
00:36:32,239 --> 00:36:34,680
Speaker 1: Opportunity you have for Democrats to define who he is

815
00:36:34,840 --> 00:36:38,560
Speaker 1: for you. But it also means that the negative perceptions

816
00:36:38,560 --> 00:36:41,520
Speaker 1: of him have not completely like taken hold in a

817
00:36:42,239 --> 00:36:45,080
Speaker 1: you know, unmovable way amongst the public. There's still a

818
00:36:45,080 --> 00:36:47,279
Speaker 1: possibility to define him in a way that would be

819
00:36:47,440 --> 00:36:49,160
Speaker 1: positive for the ticket rather than negative.

820
00:36:49,280 --> 00:36:55,040
Speaker 2: Yes, absolutely, Former President Donald Trump made an appearance at

821
00:36:55,080 --> 00:36:58,920
Speaker 2: the NABJ, the National Association of Black Journalist event, and

822
00:36:59,239 --> 00:37:04,000
Speaker 2: let's just say, was fiery. It was astonishing. The circumstances

823
00:37:04,040 --> 00:37:07,320
Speaker 2: itself were absolutely crazy. Trump was held off the stage

824
00:37:07,320 --> 00:37:09,520
Speaker 2: waiting for some thirty four minutes to go on because

825
00:37:09,520 --> 00:37:13,320
Speaker 2: there were microphone issues. The microphone issues then manifested themselves

826
00:37:13,360 --> 00:37:16,120
Speaker 2: during the interview. During the interview, they were talking past

827
00:37:16,160 --> 00:37:19,839
Speaker 2: each other. Trump itself was facing a jeering crowd. Many

828
00:37:19,840 --> 00:37:22,360
Speaker 2: people there were very upset that even appeared in the

829
00:37:22,400 --> 00:37:24,759
Speaker 2: first place, and it went off the rails from the

830
00:37:24,880 --> 00:37:27,480
Speaker 2: very very first answer. Let's take a listen.

831
00:37:27,680 --> 00:37:30,680
Speaker 6: I want to start by addressing the elephant in the room, sir.

832
00:37:31,480 --> 00:37:33,560
Speaker 6: A lot of people did not think it.

833
00:37:33,600 --> 00:37:35,320
Speaker 2: Was appropriate for you to be here today.

834
00:37:36,120 --> 00:37:39,200
Speaker 6: You have pushed false claims about some of your rivals,

835
00:37:39,560 --> 00:37:42,480
Speaker 6: from Nicki Haley to former President Barack Obama, saying that

836
00:37:42,520 --> 00:37:44,799
Speaker 6: they were not born in the United States, which is

837
00:37:44,840 --> 00:37:47,880
Speaker 6: not true. You have told four congressmen women of color

838
00:37:48,160 --> 00:37:50,080
Speaker 6: who were American citizens to go back.

839
00:37:49,960 --> 00:37:51,239
Speaker 2: To where they came from.

840
00:37:51,640 --> 00:37:53,719
Speaker 3: You have used words like animal and.

841
00:37:53,760 --> 00:37:58,040
Speaker 6: Rabbit to describe black district attorneys. You've attacked black journalists,

842
00:37:58,040 --> 00:38:00,839
Speaker 6: calling them a loser, saying the question that they ask

843
00:38:00,920 --> 00:38:04,040
Speaker 6: are quote stupid and racist. You've had dinner with a

844
00:38:04,080 --> 00:38:05,160
Speaker 6: white supremacist at.

845
00:38:05,000 --> 00:38:06,080
Speaker 2: Your marologue resort.

846
00:38:06,880 --> 00:38:10,160
Speaker 6: So my question, sir, now that you are asking black

847
00:38:10,200 --> 00:38:14,040
Speaker 6: supporters to vote for you, why should black voters trust

848
00:38:14,080 --> 00:38:16,560
Speaker 6: you after you have used language like that.

849
00:38:17,880 --> 00:38:19,799
Speaker 4: Well, first of all, I don't think I've ever been

850
00:38:20,000 --> 00:38:24,320
Speaker 4: asked a question so in such a horrible manner.

851
00:38:24,400 --> 00:38:26,799
Speaker 7: A first question you don't.

852
00:38:26,560 --> 00:38:28,440
Speaker 8: Even say, hello, how are you?

853
00:38:29,239 --> 00:38:29,480
Speaker 9: Are you?

854
00:38:29,560 --> 00:38:30,120
Speaker 7: With ABC?

855
00:38:30,520 --> 00:38:33,120
Speaker 4: I was invited here, and I was told my opponent,

856
00:38:33,160 --> 00:38:36,960
Speaker 4: whether it was Biden or Kamala, I was told my

857
00:38:37,000 --> 00:38:39,680
Speaker 4: opponent was going to be here. It turned out my

858
00:38:39,760 --> 00:38:43,359
Speaker 4: opponent isn't here. You invited me under false pretense. And

859
00:38:43,400 --> 00:38:46,440
Speaker 4: then you said you can't do it with zoom. Well

860
00:38:47,440 --> 00:38:49,439
Speaker 4: you know where's zoom. She's going to do it with zoom,

861
00:38:49,480 --> 00:38:51,719
Speaker 4: and she's not coming. And then you are half an

862
00:38:51,719 --> 00:38:54,800
Speaker 4: hour la. Just so we understand, I have too much respect.

863
00:38:54,400 --> 00:38:55,120
Speaker 10: For you to be late.

864
00:38:55,360 --> 00:38:57,759
Speaker 4: They couldn't get their equipment working or something.

865
00:38:58,200 --> 00:39:00,879
Speaker 2: I would like. I think it's a very super second.

866
00:39:01,320 --> 00:39:02,400
Speaker 7: I have answered the question.

867
00:39:03,320 --> 00:39:07,399
Speaker 4: I have been the best president for the black population

868
00:39:07,920 --> 00:39:12,080
Speaker 4: since Abraham Lincoln, better.

869
00:39:11,080 --> 00:39:12,000
Speaker 3: Than President Johnson.

870
00:39:12,040 --> 00:39:13,000
Speaker 2: He's notign the building rights.

871
00:39:13,000 --> 00:39:15,840
Speaker 4: Ask you to start off a question and answer period,

872
00:39:15,960 --> 00:39:18,760
Speaker 4: especially when you're thirty five minutes late because you couldn't

873
00:39:18,800 --> 00:39:21,640
Speaker 4: get your equipment to work in such a hostile manner,

874
00:39:21,680 --> 00:39:23,080
Speaker 4: I think it's a disgrace.

875
00:39:23,560 --> 00:39:27,280
Speaker 2: All right, Chrystal, that is a vintage twenty sixteen.

876
00:39:27,400 --> 00:39:29,359
Speaker 1: I was going to say, I'm checking the calendar because

877
00:39:29,440 --> 00:39:30,600
Speaker 1: he's back twenty sixteen.

878
00:39:30,680 --> 00:39:33,120
Speaker 2: He is back, folks the ear. What was it like

879
00:39:33,200 --> 00:39:35,640
Speaker 2: being nice and all that? It only lasted for a

880
00:39:35,680 --> 00:39:38,000
Speaker 2: couple of days. This is as Trump as Trump has

881
00:39:38,640 --> 00:39:41,239
Speaker 2: been in quite a long time. On the campaign trail there,

882
00:39:41,840 --> 00:39:43,920
Speaker 2: But I mean, I guess the only thing that we

883
00:39:43,920 --> 00:39:46,440
Speaker 2: could say at here at least here with the question

884
00:39:47,000 --> 00:39:50,920
Speaker 2: is about Kamala Harris, because she was originally said that

885
00:39:50,960 --> 00:39:53,040
Speaker 2: she couldn't make it, and then apparently like he was

886
00:39:53,040 --> 00:39:56,080
Speaker 2: talking there about zoom, so she It's weird been trying

887
00:39:56,120 --> 00:39:57,840
Speaker 2: to figure out is this lady going to speak of

888
00:39:57,840 --> 00:39:58,480
Speaker 2: this event or not?

889
00:39:58,640 --> 00:39:59,920
Speaker 3: Well, it's very it's.

890
00:39:59,840 --> 00:40:03,040
Speaker 1: Very confused what unfolded in the you know, lead up

891
00:40:03,040 --> 00:40:07,000
Speaker 1: to this. Apparently the best I can figure out is

892
00:40:07,080 --> 00:40:09,200
Speaker 1: she had said, Hey, I'm not going to come, but

893
00:40:09,239 --> 00:40:11,279
Speaker 1: I can do this by via zoom, right, and they

894
00:40:11,280 --> 00:40:14,880
Speaker 1: were like, no, zoom. And then once they announced that

895
00:40:14,920 --> 00:40:17,400
Speaker 1: they were going to interview Trump, and there was this huge,

896
00:40:17,880 --> 00:40:23,759
Speaker 1: in my opinion, stupid back journalist, your journalist. He's the

897
00:40:23,800 --> 00:40:26,880
Speaker 1: former and potential future president, like, of course you should

898
00:40:26,880 --> 00:40:30,879
Speaker 1: interview him. And in my opinion, like what happened here

899
00:40:31,280 --> 00:40:33,960
Speaker 1: is very revealing and it is something that the American

900
00:40:34,000 --> 00:40:36,759
Speaker 1: public should see, however they feel about it, Okay. So,

901
00:40:36,920 --> 00:40:39,680
Speaker 1: in any case, they got a massive backlash over quote

902
00:40:39,719 --> 00:40:43,280
Speaker 1: unquote platforming Trump. They had board members who were resigning,

903
00:40:43,239 --> 00:40:45,680
Speaker 1: et cetera. And so I think in an effort to

904
00:40:46,120 --> 00:40:49,040
Speaker 1: try to clean things up, then it looks like they

905
00:40:49,080 --> 00:40:51,520
Speaker 1: went back to and again this is this is the

906
00:40:51,560 --> 00:40:53,480
Speaker 1: best I can figure out from the reporting that's out there.

907
00:40:53,480 --> 00:40:54,880
Speaker 1: Then I think they go back to comm and say,

908
00:40:54,960 --> 00:40:57,719
Speaker 1: oh wait, actually we can do the zoom. And by

909
00:40:57,719 --> 00:41:00,879
Speaker 1: that point like she's made other plans or whatever. And

910
00:41:00,960 --> 00:41:04,960
Speaker 1: so anyway, that was all a mess. And then there

911
00:41:04,960 --> 00:41:10,600
Speaker 1: were technical difficulties, which as someone listen, nothing is more frustrating.

912
00:41:10,640 --> 00:41:12,319
Speaker 1: It's not there for like the journalists fault I had

913
00:41:12,320 --> 00:41:14,120
Speaker 1: nothing to do with like setting up the mics and whatever.

914
00:41:14,520 --> 00:41:18,359
Speaker 1: But you have to remember, this is he's not as

915
00:41:18,360 --> 00:41:20,640
Speaker 1: old as Biden, but this is also a cranky old man.

916
00:41:20,840 --> 00:41:23,160
Speaker 3: So I think that he came in.

917
00:41:23,080 --> 00:41:27,000
Speaker 1: There already loaded for bear, already with an idea of

918
00:41:27,360 --> 00:41:30,680
Speaker 1: I'm gonna drop a bomb on this place, and I'm

919
00:41:30,680 --> 00:41:32,600
Speaker 1: gonna cause the whole country to talk about what it

920
00:41:32,640 --> 00:41:33,520
Speaker 1: is that I have to say.

921
00:41:33,520 --> 00:41:34,719
Speaker 3: And by the way, the.

922
00:41:34,560 --> 00:41:37,680
Speaker 1: Major comments that everybody's sharing here about Comma's identity, we're

923
00:41:37,680 --> 00:41:39,239
Speaker 1: gonna do a whole separate part on that, because it's

924
00:41:39,320 --> 00:41:41,200
Speaker 1: quite clear now that was part of like an intentional

925
00:41:41,239 --> 00:41:42,200
Speaker 1: campaign strategy.

926
00:41:42,200 --> 00:41:43,439
Speaker 3: So we're going to separate that out.

927
00:41:43,920 --> 00:41:46,719
Speaker 1: But I think you know, he already was like I'm

928
00:41:46,800 --> 00:41:49,440
Speaker 1: going in there with this plan and then when he

929
00:41:49,440 --> 00:41:52,480
Speaker 1: had to wait for thirty and so frustrated, then it's

930
00:41:52,640 --> 00:41:56,120
Speaker 1: just off the rails from the beginning. I mean to her, listen, overall,

931
00:41:56,120 --> 00:41:58,880
Speaker 1: I didn't think that these that this trio, they were

932
00:41:58,960 --> 00:42:02,400
Speaker 1: kind of at odds with each other. The questions that

933
00:42:02,520 --> 00:42:04,400
Speaker 1: I would want to ask, we're not asked. You know,

934
00:42:04,480 --> 00:42:07,680
Speaker 1: about economics and you know, the things that really impact

935
00:42:07,719 --> 00:42:10,680
Speaker 1: people's lives. But let's be clear that first question, Like

936
00:42:10,760 --> 00:42:13,319
Speaker 1: she had to ask that first question and for him

937
00:42:13,320 --> 00:42:18,120
Speaker 1: maybe soy, so thin skinned about you know, this had

938
00:42:18,160 --> 00:42:20,879
Speaker 1: been controversial for the group. She had to ask that

939
00:42:20,920 --> 00:42:24,120
Speaker 1: first question, and he just you know, completely off the reat.

940
00:42:24,040 --> 00:42:24,720
Speaker 3: Just from the beginning.

941
00:42:24,920 --> 00:42:27,239
Speaker 2: It was very Megan Kelly asked, He's like, you've killed women,

942
00:42:27,360 --> 00:42:28,560
Speaker 2: So what do you think he's going to say. Yeah,

943
00:42:28,600 --> 00:42:30,000
Speaker 2: he's gonna be like, you know what, You're right, I'm

944
00:42:30,000 --> 00:42:32,719
Speaker 2: a freaking racist. It's just like so dumb. But look,

945
00:42:33,160 --> 00:42:33,759
Speaker 2: this is the other thing.

946
00:42:33,840 --> 00:42:36,040
Speaker 1: It's I think it's like, like I said, I think

947
00:42:36,080 --> 00:42:38,600
Speaker 1: she has to ask that question, given like the concerns

948
00:42:38,600 --> 00:42:41,359
Speaker 1: of the group that she's representing and the controversy going

949
00:42:41,400 --> 00:42:45,440
Speaker 1: into it. You know, I don't it's unreasonable to expect

950
00:42:45,520 --> 00:42:47,359
Speaker 1: that you're just going to get like a softball out

951
00:42:47,400 --> 00:42:47,719
Speaker 1: the gate.

952
00:42:48,000 --> 00:42:49,520
Speaker 3: You have a limited amount of time with him.

953
00:42:49,640 --> 00:42:52,360
Speaker 1: He's the four he's a you know, very consequential figure,

954
00:42:52,440 --> 00:42:55,480
Speaker 1: potential future president. You know, the notion that he should

955
00:42:55,480 --> 00:42:57,719
Speaker 1: just be handed a softball as a first question.

956
00:42:57,560 --> 00:42:58,280
Speaker 3: Is for possible.

957
00:42:58,280 --> 00:42:59,560
Speaker 2: Oh I don't think it should be a softball. I

958
00:42:59,600 --> 00:43:01,479
Speaker 2: mean the last part is you think you're the most

959
00:43:01,480 --> 00:43:05,040
Speaker 2: consequential president since Abraham Lincoln for black people? How could

960
00:43:05,080 --> 00:43:08,000
Speaker 2: you possibly say that in good faith? Maybe let's get

961
00:43:08,000 --> 00:43:10,959
Speaker 2: into that. But again, and also on a professional level,

962
00:43:11,000 --> 00:43:13,719
Speaker 2: you and I prepare very stringently for interviews. It's very

963
00:43:13,719 --> 00:43:15,719
Speaker 2: clear these three ladies like didn't talk to each other

964
00:43:15,880 --> 00:43:18,080
Speaker 2: about who is going to ask what because they're always

965
00:43:18,120 --> 00:43:21,319
Speaker 2: talking across. And so it's funny because afterwards all these

966
00:43:21,360 --> 00:43:23,080
Speaker 2: journalists were like, oh my god, they did such a

967
00:43:23,080 --> 00:43:24,520
Speaker 2: good job. I was like, I thought that was a

968
00:43:24,560 --> 00:43:27,960
Speaker 2: freaking disaster, and whoever put that thing together, you should

969
00:43:27,960 --> 00:43:31,719
Speaker 2: be humiliated. We have higher standards here on a YouTube show. Now,

970
00:43:31,840 --> 00:43:35,120
Speaker 2: there was a consequential and interesting answer here where Harris

971
00:43:35,120 --> 00:43:39,239
Speaker 2: Faulkner over at Fox News pressed Trump on the JD

972
00:43:39,360 --> 00:43:42,160
Speaker 2: Vance Childless cat Lady comments and you could see here

973
00:43:42,239 --> 00:43:44,960
Speaker 2: in real time he both moves from defense to listen,

974
00:43:45,080 --> 00:43:47,719
Speaker 2: vice president. It doesn't even matter at all. Let's take

975
00:43:47,760 --> 00:43:48,120
Speaker 2: a listen.

976
00:43:48,400 --> 00:43:51,479
Speaker 11: And that's why this decision is important this time bad

977
00:43:51,480 --> 00:43:54,640
Speaker 11: things happen. You've said it twice when you look at

978
00:43:54,719 --> 00:43:59,200
Speaker 11: jd Vance. Is he ready on day one? Does ready

979
00:43:59,239 --> 00:44:01,160
Speaker 11: on day one if he have to be.

980
00:44:01,440 --> 00:44:05,560
Speaker 4: I've always had great respect for him and for the

981
00:44:05,600 --> 00:44:09,080
Speaker 4: other candidates too, But I will say this, and I

982
00:44:09,120 --> 00:44:13,400
Speaker 4: think this is well documented. Historically, the vice president in

983
00:44:13,480 --> 00:44:16,040
Speaker 4: terms of the election does not have any impact. I

984
00:44:16,040 --> 00:44:18,840
Speaker 4: mean virtually no impact. You have two or three days

985
00:44:18,880 --> 00:44:21,120
Speaker 4: where there's a lot of commotion as to who, like

986
00:44:21,200 --> 00:44:23,239
Speaker 4: you're having it on the Democrat side, who it's going

987
00:44:23,320 --> 00:44:26,319
Speaker 4: to be, and then that dies down and it's all

988
00:44:26,320 --> 00:44:30,680
Speaker 4: about the presidential pick. Virtually never has it mattered. Maybe

989
00:44:30,719 --> 00:44:33,120
Speaker 4: lived in Johnson matter for different reasons of what we're

990
00:44:33,120 --> 00:44:36,240
Speaker 4: talking about, not for vote reasons, but for political reasons,

991
00:44:36,239 --> 00:44:40,120
Speaker 4: other political reasons. But historically the choice of a vice

992
00:44:40,200 --> 00:44:42,240
Speaker 4: president makes no difference.

993
00:44:43,840 --> 00:44:46,360
Speaker 3: Is interesting. What's up the LBJ thing is interesting.

994
00:44:46,360 --> 00:44:48,120
Speaker 1: I didn't actually catch that the first time I listened,

995
00:44:48,120 --> 00:44:51,120
Speaker 1: because he's what he's saying is that because JFK was assassinated,

996
00:44:51,080 --> 00:44:52,440
Speaker 1: that's why he ends up being consequential.

997
00:44:52,600 --> 00:44:56,440
Speaker 2: Right, Well, so I was the because Trump has previously

998
00:44:57,200 --> 00:45:00,239
Speaker 2: praised Roger Stone, you know, he's their friends, Roger whole

999
00:45:00,280 --> 00:45:03,160
Speaker 2: book about how LBJ is actually the one who killed JFK.

1000
00:45:03,600 --> 00:45:05,799
Speaker 2: And so I was like, did he mean it in

1001
00:45:05,880 --> 00:45:08,839
Speaker 2: terms of LVJ was a party of the Association. That's

1002
00:45:08,920 --> 00:45:11,080
Speaker 2: kind of immediately where my man went to. I was like,

1003
00:45:11,160 --> 00:45:13,799
Speaker 2: is he implying that LBJ was part of a conspiracy

1004
00:45:13,800 --> 00:45:16,880
Speaker 2: to assassinate JFK. Look, I don't know. It was definitely.

1005
00:45:17,200 --> 00:45:17,960
Speaker 3: You read a lot of things.

1006
00:45:18,000 --> 00:45:20,399
Speaker 2: One of them. What's funny though, is that you know,

1007
00:45:20,480 --> 00:45:23,000
Speaker 2: if you actually know the history, he is right. One

1008
00:45:23,040 --> 00:45:25,880
Speaker 2: of the things that was very president of the nineteen

1009
00:45:26,160 --> 00:45:29,880
Speaker 2: sixty convention is that people were very upset, which the

1010
00:45:29,880 --> 00:45:32,000
Speaker 2: Democratic Party at that time was totally split between the

1011
00:45:32,040 --> 00:45:36,200
Speaker 2: Southern conservatives and like the Massachusetts Northeast liberals, Massachusetts and

1012
00:45:36,280 --> 00:45:39,400
Speaker 2: Midwestern liberals all supported civil rights. Obviously the southern the

1013
00:45:39,440 --> 00:45:41,640
Speaker 2: States didn't, and they weren't going to back anybody who

1014
00:45:41,680 --> 00:45:43,360
Speaker 2: was a number two on the ticket unless it was

1015
00:45:43,360 --> 00:45:46,400
Speaker 2: somebody who was anti civil rights in their head. They

1016
00:45:46,520 --> 00:45:49,000
Speaker 2: believed that Johnson, who had kind of bamboozled them his

1017
00:45:49,160 --> 00:45:51,680
Speaker 2: entire life was against civil rights and was a Southern ally,

1018
00:45:51,880 --> 00:45:54,480
Speaker 2: and so his adding to the ticket was actually very

1019
00:45:54,600 --> 00:45:57,480
Speaker 2: very consequential for at least bringing over some of the

1020
00:45:57,520 --> 00:46:00,320
Speaker 2: Democratic senators and then trying to push back against the

1021
00:46:00,360 --> 00:46:04,120
Speaker 2: George Wallace rising. Segregation is South sentiment in the South.

1022
00:46:04,160 --> 00:46:07,040
Speaker 2: So I think he unintentionally was correct about why LBJ.

1023
00:46:07,400 --> 00:46:09,520
Speaker 2: I actually do think it's probably the most consequential vice

1024
00:46:09,520 --> 00:46:10,520
Speaker 2: president will pick, right.

1025
00:46:10,960 --> 00:46:12,400
Speaker 3: I mean, that's doesn't fair.

1026
00:46:13,080 --> 00:46:15,640
Speaker 2: Fair because of what Also, he basically stole the state

1027
00:46:15,680 --> 00:46:18,880
Speaker 2: of Texas for JFK whenever it came to the elections.

1028
00:46:19,160 --> 00:46:22,239
Speaker 1: Facts true, But obviously the bigger takeaway here is he

1029
00:46:22,239 --> 00:46:25,000
Speaker 1: gets asked a very direct question, is JD Vance ready

1030
00:46:25,000 --> 00:46:26,839
Speaker 1: on day one? And he does not say yes, no, ye,

1031
00:46:26,960 --> 00:46:30,440
Speaker 1: Like that's such a gimme. That is such a gimmy,

1032
00:46:30,760 --> 00:46:32,640
Speaker 1: Like even if you don't believe it, of course you

1033
00:46:32,719 --> 00:46:35,520
Speaker 1: say yes, he picks this vice president.

1034
00:46:35,200 --> 00:46:36,879
Speaker 3: Because you believe they're ready on day one.

1035
00:46:37,200 --> 00:46:39,799
Speaker 1: And he dodges the question, and then he goes on

1036
00:46:39,840 --> 00:46:41,800
Speaker 1: to say he says something that all I have respect for,

1037
00:46:42,000 --> 00:46:43,560
Speaker 1: I respect for a lot of people, and then he

1038
00:46:43,600 --> 00:46:46,399
Speaker 1: goes on to say, Josh barretweeted like it's very clear,

1039
00:46:46,440 --> 00:46:48,319
Speaker 1: this is what his advisors are telling him when he's

1040
00:46:48,360 --> 00:46:51,160
Speaker 1: freaking out about the pick himself and vice president doesn't

1041
00:46:51,160 --> 00:46:54,080
Speaker 1: matter anyway, So whatever, who cares whether he's good or

1042
00:46:54,080 --> 00:46:55,640
Speaker 1: bad already on day one.

1043
00:46:55,480 --> 00:46:58,319
Speaker 2: Trump is never going to know. I think in Trump's mind,

1044
00:46:58,360 --> 00:47:01,040
Speaker 2: he's like ready on day one. At me, I'm ready

1045
00:47:01,040 --> 00:47:03,800
Speaker 2: on day one. I'm here, I'm ready to go. Anything

1046
00:47:03,840 --> 00:47:07,200
Speaker 2: that could possibly, you know, upstage him cause problems for him.

1047
00:47:07,520 --> 00:47:09,600
Speaker 2: And you know, look at Project twenty twenty five, I mean,

1048
00:47:09,640 --> 00:47:12,640
Speaker 2: the most slavishly devoted people to Donald Trump, and the

1049
00:47:12,680 --> 00:47:14,200
Speaker 2: moment they caused an issue for him, He's like, I'm

1050
00:47:14,200 --> 00:47:15,719
Speaker 2: gonna cut you loose. I'm never going to talk to

1051
00:47:15,760 --> 00:47:18,360
Speaker 2: you or see you again, and declare war on you.

1052
00:47:18,480 --> 00:47:19,719
Speaker 2: This is part of his mo.

1053
00:47:19,960 --> 00:47:22,280
Speaker 1: This is as close as you will get to confirmation

1054
00:47:22,360 --> 00:47:25,520
Speaker 1: that Trump does regret his choice right here. Being unwilling

1055
00:47:25,800 --> 00:47:29,680
Speaker 1: to say, like, really a single positive thing about Jadie Vance.

1056
00:47:30,200 --> 00:47:33,000
Speaker 1: Being unwilling to say that your vice presidential pick is

1057
00:47:33,040 --> 00:47:36,839
Speaker 1: ready on day one is really something. And so yeah,

1058
00:47:36,880 --> 00:47:38,480
Speaker 1: for him to go on this tangent about like well,

1059
00:47:38,520 --> 00:47:39,440
Speaker 1: who cares about him and he.

1060
00:47:39,440 --> 00:47:40,040
Speaker 3: Doesn't really matter.

1061
00:47:40,640 --> 00:47:42,560
Speaker 2: See. I read it as that's what he would say

1062
00:47:42,560 --> 00:47:44,480
Speaker 2: about anybody who he had picked. I'm not sure he

1063
00:47:44,480 --> 00:47:46,960
Speaker 2: would have said that necessarily about Doug Burgham or any

1064
00:47:47,000 --> 00:47:49,160
Speaker 2: of these other folks, because if Bergham was the nominee. Yeah,

1065
00:47:49,200 --> 00:47:50,239
Speaker 2: I get it, he codes more.

1066
00:47:50,680 --> 00:47:53,000
Speaker 1: He has actually said more positive things about Doug Burghram.

1067
00:47:53,000 --> 00:47:54,520
Speaker 1: I think at this point that he has about.

1068
00:47:54,360 --> 00:47:56,160
Speaker 2: Jadvan straight out of Central Casting.

1069
00:47:56,440 --> 00:47:56,720
Speaker 3: Yeah.

1070
00:47:56,880 --> 00:47:59,799
Speaker 1: And he also he did a whole thing about Doug

1071
00:47:59,760 --> 00:48:02,520
Speaker 1: burg that was interesting where he's like, you know.

1072
00:48:02,520 --> 00:48:03,680
Speaker 3: He's he's a little too nice.

1073
00:48:03,760 --> 00:48:06,600
Speaker 1: He doesn't doesn't realize sometimes a little controversy is a

1074
00:48:06,600 --> 00:48:06,960
Speaker 1: good thing.

1075
00:48:07,200 --> 00:48:07,919
Speaker 3: Something like that.

1076
00:48:08,280 --> 00:48:10,000
Speaker 2: This is what I mean with this man, It's like

1077
00:48:10,160 --> 00:48:12,359
Speaker 2: you can never win, Okay. So I don't know if

1078
00:48:12,360 --> 00:48:14,120
Speaker 2: I was going to it that way, I would just say

1079
00:48:14,520 --> 00:48:17,360
Speaker 2: with Trump, anytime that you're causing even an inkling of

1080
00:48:17,400 --> 00:48:19,520
Speaker 2: an issue for him, he's going to immediately knuq you

1081
00:48:19,880 --> 00:48:22,279
Speaker 2: and throw you under the bus and remind you kind

1082
00:48:22,280 --> 00:48:23,200
Speaker 2: of of your place.

1083
00:48:23,320 --> 00:48:25,120
Speaker 3: Yeah. Now, as Ady Van's you are on your own

1084
00:48:25,480 --> 00:48:25,839
Speaker 3: very clearly.

1085
00:48:26,120 --> 00:48:27,920
Speaker 2: That's I think that's always been and I think anybody

1086
00:48:27,920 --> 00:48:29,640
Speaker 2: who's going into that job should have been very clear

1087
00:48:29,680 --> 00:48:32,200
Speaker 2: eyed that loyalty only goes one way in that relationship.

1088
00:48:32,520 --> 00:48:35,120
Speaker 2: Let's put this up here on the screen from April Ryan,

1089
00:48:35,640 --> 00:48:39,120
Speaker 2: So she reported kind of what you were saying, Crystal. Yeah,

1090
00:48:39,200 --> 00:48:42,000
Speaker 2: about the NABJ. They shut down a conversation for a

1091
00:48:42,080 --> 00:48:44,959
Speaker 2: virtual town hall because apparently Harris said that she needed

1092
00:48:45,000 --> 00:48:46,799
Speaker 2: to be in Chicago in or. They said that she

1093
00:48:46,800 --> 00:48:49,520
Speaker 2: needed to be in Chicago in person only. Then after

1094
00:48:49,560 --> 00:48:52,400
Speaker 2: they began to ask her to consider it. Then yesterday

1095
00:48:52,400 --> 00:48:55,279
Speaker 2: afternoon they moved on after being told no about being

1096
00:48:55,360 --> 00:48:57,880
Speaker 2: in person. Then they came back and they asked for

1097
00:48:57,880 --> 00:49:04,320
Speaker 2: a VP surrogate like Megan the Stallion, Oprah or barackab Yeah,

1098
00:49:04,320 --> 00:49:06,520
Speaker 2: we're going to interview Trump and then after that we're

1099
00:49:06,520 --> 00:49:10,560
Speaker 2: going to ask Magan the Stallion's opinions. Okay, I mean

1100
00:49:10,680 --> 00:49:15,359
Speaker 2: Oprah maybe whatever Obama. Obama was the only one. Hey,

1101
00:49:15,440 --> 00:49:18,320
Speaker 2: mister president, did you did you ask Joe Biden to

1102
00:49:18,360 --> 00:49:20,480
Speaker 2: drop out of the race? Asked no question, yes or

1103
00:49:20,480 --> 00:49:21,920
Speaker 2: no question? And he's going to try it. I mean

1104
00:49:21,960 --> 00:49:26,040
Speaker 2: that's actually newsworthy and interesting. Yeah, I would take that.

1105
00:49:26,160 --> 00:49:29,759
Speaker 1: But oh, Megan even like endorsed in my race yet

1106
00:49:29,880 --> 00:49:32,680
Speaker 1: I don't know, Megan is Stallion's hilarious but anyway, yeah,

1107
00:49:33,160 --> 00:49:36,920
Speaker 1: so so basically, according to April Ryan, what happened is

1108
00:49:37,880 --> 00:49:39,160
Speaker 1: Kama said she could do virtual.

1109
00:49:39,160 --> 00:49:39,839
Speaker 3: They were like, no, we.

1110
00:49:39,800 --> 00:49:41,560
Speaker 1: Want you in person. She said no to in person,

1111
00:49:41,600 --> 00:49:43,359
Speaker 1: and you had this freak out about Trump and then

1112
00:49:43,360 --> 00:49:46,840
Speaker 1: they're like, oh, maybe we can't do you know, virtual whatever. Anyway,

1113
00:49:47,000 --> 00:49:50,080
Speaker 1: so that's that's the backstorre. It was definitely all went.

1114
00:49:50,120 --> 00:49:51,880
Speaker 2: I think it was a mistake of Kamala and not

1115
00:49:51,920 --> 00:49:54,040
Speaker 2: to clear schedule and actually try and get it done,

1116
00:49:54,080 --> 00:49:56,719
Speaker 2: because the optics of it are ridiculous. It's like, why

1117
00:49:56,840 --> 00:50:00,000
Speaker 2: is Trump in the midst of obviously a very hostile

1118
00:50:00,520 --> 00:50:03,560
Speaker 2: environment where people were like weeping and jeering, you know,

1119
00:50:03,640 --> 00:50:06,480
Speaker 2: in the back and gasping, you know, all of these people,

1120
00:50:06,640 --> 00:50:08,920
Speaker 2: and why didn't she show up or at least, you know,

1121
00:50:09,040 --> 00:50:11,240
Speaker 2: try to make it work. I get the people are busy,

1122
00:50:11,239 --> 00:50:13,600
Speaker 2: but also, look, politicians are a lot less busy than

1123
00:50:13,680 --> 00:50:15,200
Speaker 2: you would think. Sometimes they can.

1124
00:50:15,160 --> 00:50:17,759
Speaker 3: Do and they want to make something happen to happen.

1125
00:50:17,960 --> 00:50:18,439
Speaker 3: I do think.

1126
00:50:18,600 --> 00:50:20,719
Speaker 2: Listen, you have a private plane, it go takes off

1127
00:50:20,719 --> 00:50:21,480
Speaker 2: thirty minutes late.

1128
00:50:21,520 --> 00:50:25,279
Speaker 3: Okay, you know it's consistent with she is.

1129
00:50:25,600 --> 00:50:28,440
Speaker 1: She's afraid of these kind of settings because while it

1130
00:50:28,480 --> 00:50:30,880
Speaker 1: would be a friendlier audience for her, you know, you

1131
00:50:30,920 --> 00:50:33,960
Speaker 1: got Harris Faulkner up on the stage exactly, and she's

1132
00:50:34,040 --> 00:50:37,560
Speaker 1: not gonna They're gonna feel, especially after doing a tough

1133
00:50:37,640 --> 00:50:40,359
Speaker 1: interview with Trump, they're going to feel like they need

1134
00:50:40,400 --> 00:50:42,920
Speaker 1: to show balance with Kamala and not just do a

1135
00:50:42,960 --> 00:50:47,120
Speaker 1: softball interview with Kamala. And you know, she she is

1136
00:50:47,200 --> 00:50:49,239
Speaker 1: nervous about those settings, and she has reason to be

1137
00:50:49,239 --> 00:50:51,160
Speaker 1: nervous about those hettings because in the past it hasn't

1138
00:50:51,200 --> 00:50:53,560
Speaker 1: gone that well for her. So I think you're right

1139
00:50:53,680 --> 00:50:57,319
Speaker 1: about if it went well for her, then it was

1140
00:50:57,480 --> 00:51:00,319
Speaker 1: a missed opportunity for her to get out there. And

1141
00:51:00,360 --> 00:51:02,919
Speaker 1: obviously this became like the big story of the day

1142
00:51:03,239 --> 00:51:06,839
Speaker 1: and she becomes a side show to it. But if

1143
00:51:06,840 --> 00:51:08,440
Speaker 1: it didn't go well for her, then it was the

1144
00:51:08,520 --> 00:51:09,279
Speaker 1: right call to skip it.

1145
00:51:09,400 --> 00:51:12,200
Speaker 2: No, I mean, this is the issue. Strategically, I would

1146
00:51:12,239 --> 00:51:13,719
Speaker 2: do the exact same thing if I were her. I'm

1147
00:51:13,719 --> 00:51:15,680
Speaker 2: going to look at my record and say, I'm terrible

1148
00:51:15,680 --> 00:51:17,279
Speaker 2: at management and I'm bad at interviews. You know what,

1149
00:51:17,320 --> 00:51:19,480
Speaker 2: I'm not going to do interviews Apparently what she had

1150
00:51:19,520 --> 00:51:22,160
Speaker 2: pushed for was this was another report about some friendly

1151
00:51:22,239 --> 00:51:24,400
Speaker 2: fireside chat, and to their credit, they're like, no, you

1152
00:51:24,440 --> 00:51:27,120
Speaker 2: have to do interview. And that's the thing about Rachel Scott. Look,

1153
00:51:27,120 --> 00:51:28,680
Speaker 2: I don't think she did a particularly good job here

1154
00:51:28,719 --> 00:51:30,759
Speaker 2: in this interview, but I have seen her get yelled

1155
00:51:30,760 --> 00:51:33,719
Speaker 2: at by Nancy Pelosi. And you know, look, any Democrat

1156
00:51:33,840 --> 00:51:36,680
Speaker 2: screaming at you in the hallway, that actually is important,

1157
00:51:36,719 --> 00:51:38,440
Speaker 2: you know, if you were willing to sit there and

1158
00:51:38,480 --> 00:51:41,040
Speaker 2: take it a little bit and actually ask a challenging question.

1159
00:51:41,080 --> 00:51:43,480
Speaker 2: So I don't have any doubt that both her and

1160
00:51:43,600 --> 00:51:46,560
Speaker 2: Harris Faulkner would have pushed her at least a little bit. Yeah,

1161
00:51:46,560 --> 00:51:48,480
Speaker 2: you know, I mean there are serious questions to be

1162
00:51:48,480 --> 00:51:50,479
Speaker 2: asked here. Did you know that Joe Biden was old?

1163
00:51:50,719 --> 00:51:52,279
Speaker 2: At what point did Joe Biden tell you he was

1164
00:51:52,280 --> 00:51:54,239
Speaker 2: going to run for president? These are ones where if

1165
00:51:54,280 --> 00:51:56,719
Speaker 2: you don't ask that, you are a joke as a journalist.

1166
00:51:56,760 --> 00:51:59,359
Speaker 1: Well and also really critically, and we're you know, we're

1167
00:51:59,360 --> 00:52:01,440
Speaker 1: going to talk to Matt Stole her about what we

1168
00:52:01,520 --> 00:52:02,840
Speaker 1: think she might do as president.

1169
00:52:03,000 --> 00:52:05,640
Speaker 3: Believe I don't know, right, we don't know.

1170
00:52:05,640 --> 00:52:08,160
Speaker 1: And she's already this week, she's changed her position on

1171
00:52:08,200 --> 00:52:09,480
Speaker 1: a number of issues.

1172
00:52:09,440 --> 00:52:13,719
Speaker 2: Racking medicare for all, What am I missing the border? Yeah,

1173
00:52:14,120 --> 00:52:17,360
Speaker 2: there's one more. God, No, that's that's that's changed. That

1174
00:52:17,400 --> 00:52:19,399
Speaker 2: one's there's another one that's out there.

1175
00:52:19,440 --> 00:52:23,160
Speaker 1: You know, she's in a tough spot to reconcile who

1176
00:52:23,239 --> 00:52:25,719
Speaker 1: she wants to be now in this context versus who

1177
00:52:25,760 --> 00:52:27,759
Speaker 1: she's been in the past or what she's run on.

1178
00:52:27,880 --> 00:52:31,080
Speaker 1: And there are difficult questions obviously out there for the

1179
00:52:31,120 --> 00:52:33,319
Speaker 1: taking that you would be irresponsible as a journalist not

1180
00:52:33,360 --> 00:52:35,160
Speaker 1: to ask. And I do think that these journalists would

1181
00:52:35,160 --> 00:52:38,680
Speaker 1: have asked her some of those questions. And so yes,

1182
00:52:38,880 --> 00:52:41,840
Speaker 1: it's not a surprised to me that she didn't want

1183
00:52:41,880 --> 00:52:45,280
Speaker 1: to be there in person, that she you know, after

1184
00:52:45,360 --> 00:52:47,200
Speaker 1: the they were like okay, you can do zoom. It

1185
00:52:47,239 --> 00:52:51,160
Speaker 1: was like, I'm busy because these are the types of

1186
00:52:51,200 --> 00:52:54,040
Speaker 1: situations that she typically does want to avoid. That does

1187
00:52:54,160 --> 00:52:54,960
Speaker 1: That doesn't surprise me.

1188
00:52:55,040 --> 00:52:57,120
Speaker 2: So, by the way, in terms of the verdict, we

1189
00:52:57,200 --> 00:52:59,160
Speaker 2: have still not yet come down on whether she's going

1190
00:52:59,239 --> 00:53:01,439
Speaker 2: to appear or not. A llegedly say there were seven

1191
00:53:01,480 --> 00:53:03,640
Speaker 2: month September she might do it, but that's a month

1192
00:53:03,680 --> 00:53:05,680
Speaker 2: from now. That's not fair, you know, it's it should

1193
00:53:05,680 --> 00:53:08,440
Speaker 2: be now like the immediate days. It's only been eleven

1194
00:53:08,520 --> 00:53:10,480
Speaker 2: days since Joe Biden dropped out of the race. Like

1195
00:53:10,520 --> 00:53:13,319
Speaker 2: you've not done a major interview. You have to how

1196
00:53:13,360 --> 00:53:15,759
Speaker 2: many rallies has she done. It's not fair to the

1197
00:53:15,760 --> 00:53:18,040
Speaker 2: American public. But I could sit here and cry all day.

1198
00:53:18,040 --> 00:53:18,719
Speaker 2: It's not going to matter.

1199
00:53:18,840 --> 00:53:19,000
Speaker 8: You know.

1200
00:53:19,040 --> 00:53:21,200
Speaker 2: It's like, at the end of the day, she's actually

1201
00:53:21,200 --> 00:53:23,279
Speaker 2: making the right call. I wouldn't say a damn word.

1202
00:53:23,480 --> 00:53:26,080
Speaker 2: I would do these rallies with Megan the Stallion rile

1203
00:53:26,160 --> 00:53:29,400
Speaker 2: people up. She's raising two hundred million dollars one in

1204
00:53:29,480 --> 00:53:32,640
Speaker 2: two hundred something Americans donating to her campaign. Now you're

1205
00:53:32,640 --> 00:53:34,759
Speaker 2: going to get a VP pick again. Ocean of Wall

1206
00:53:34,800 --> 00:53:36,960
Speaker 2: Street money, you know, maybe flirt a little bit with

1207
00:53:37,000 --> 00:53:40,560
Speaker 2: this whole Lena Khan thing ae hundred something venture capitalists,

1208
00:53:40,680 --> 00:53:43,440
Speaker 2: multi billionaires signed a letter backing her. This is the

1209
00:53:43,440 --> 00:53:47,160
Speaker 2: best position a Democratic candidate has been in basically since Obama.

1210
00:53:47,200 --> 00:53:50,000
Speaker 2: And I'm what early Hillary Clinton before some of the

1211
00:53:50,040 --> 00:53:51,399
Speaker 2: worst parts of her were coming out.

1212
00:53:51,480 --> 00:53:53,879
Speaker 1: So and let's be honest, I mean, this is this

1213
00:53:53,960 --> 00:53:59,239
Speaker 1: is the this is the new reality. Mostly candidates don't

1214
00:53:59,239 --> 00:54:01,600
Speaker 1: feel the need to object themselves to anything that may

1215
00:54:01,680 --> 00:54:05,759
Speaker 1: even approach a hostel interview. Joe Biden certainly didn't, you know,

1216
00:54:05,840 --> 00:54:08,680
Speaker 1: he would go on some like wellness podcast or on

1217
00:54:08,920 --> 00:54:12,160
Speaker 1: you know, some totally not even a journalist like softball suit,

1218
00:54:12,200 --> 00:54:16,480
Speaker 1: a late night or whatever. And I do think it's

1219
00:54:16,880 --> 00:54:19,080
Speaker 1: I think it's wildly anti democratic. I think it's a

1220
00:54:19,200 --> 00:54:22,640
Speaker 1: very negative trend. And you're absolutely right. She has been

1221
00:54:22,680 --> 00:54:25,480
Speaker 1: brought in here at the last minute. There was no

1222
00:54:25,560 --> 00:54:29,920
Speaker 1: democratic process whatsoever that led to this result, and so.

1223
00:54:30,239 --> 00:54:32,239
Speaker 3: People deserve even more so.

1224
00:54:32,920 --> 00:54:35,359
Speaker 1: To have access to her hear how she handles these

1225
00:54:35,400 --> 00:54:38,440
Speaker 1: questions here, how she views her role and her ascension

1226
00:54:38,600 --> 00:54:41,320
Speaker 1: and what she would do with an extraordinary amount of power.

1227
00:54:41,480 --> 00:54:44,080
Speaker 1: That you know, people do deserve to hear that. But

1228
00:54:44,520 --> 00:54:46,719
Speaker 1: that doesn't, you know, doesn't mean that I have any

1229
00:54:46,800 --> 00:54:49,319
Speaker 1: hopes because if you're just looking tactically, they're playing it

1230
00:54:49,360 --> 00:54:49,920
Speaker 1: exactly the.

1231
00:54:49,840 --> 00:54:51,560
Speaker 3: Way that they should play it, and the polls reflect that.

1232
00:54:51,680 --> 00:54:56,520
Speaker 2: At this point, Okay, let's move on the headline, the

1233
00:54:56,560 --> 00:54:59,959
Speaker 2: big ones. What actually came out of this? Donald Trump asked,

1234
00:55:00,160 --> 00:55:01,920
Speaker 2: actually I don't even know if he was asked about this,

1235
00:55:02,440 --> 00:55:03,680
Speaker 2: but he.

1236
00:55:03,800 --> 00:55:07,680
Speaker 1: Was asked whether about the attacks on Kamala Harris as

1237
00:55:07,680 --> 00:55:10,200
Speaker 1: a DEI candidate, and then he gives.

1238
00:55:10,000 --> 00:55:13,080
Speaker 2: And then he gave this answer about her heritage. Let's

1239
00:55:13,080 --> 00:55:13,680
Speaker 2: take a lesson.

1240
00:55:13,800 --> 00:55:17,600
Speaker 4: It was always of Indian heritage, and she was only

1241
00:55:17,719 --> 00:55:21,240
Speaker 4: promoting Indian heritage. I didn't know she was black until

1242
00:55:21,239 --> 00:55:23,800
Speaker 4: a number of years ago when she happened to turn black.

1243
00:55:23,840 --> 00:55:26,040
Speaker 4: And now she wants to be known as black. So

1244
00:55:26,160 --> 00:55:27,759
Speaker 4: I don't know is she Indian or.

1245
00:55:27,680 --> 00:55:29,120
Speaker 2: Is she black? She is always I know.

1246
00:55:30,880 --> 00:55:34,279
Speaker 4: Black, college I respect either one, but she obviously doesn't

1247
00:55:34,520 --> 00:55:36,719
Speaker 4: because she was Indian all the way and then all

1248
00:55:36,719 --> 00:55:38,640
Speaker 4: of a sudden she made a turn and she went

1249
00:55:39,120 --> 00:55:40,440
Speaker 4: she became a black.

1250
00:55:40,800 --> 00:55:43,040
Speaker 3: Just to be clear, sir, I think.

1251
00:55:42,880 --> 00:55:44,319
Speaker 7: Somebody should look into that too.

1252
00:55:44,320 --> 00:55:47,960
Speaker 4: When you ask a continue in a very hostile, nasty.

1253
00:55:47,640 --> 00:55:49,160
Speaker 3: Tone, it's a direct question, sir.

1254
00:55:49,239 --> 00:55:51,680
Speaker 6: Do you believe that Vice President Kamala Harris is a

1255
00:55:51,760 --> 00:55:52,960
Speaker 6: DEI higher.

1256
00:55:52,719 --> 00:55:54,120
Speaker 7: As somebody really does out?

1257
00:55:54,160 --> 00:55:56,080
Speaker 4: I mean, I really don't know, could be, could be?

1258
00:55:56,239 --> 00:55:58,640
Speaker 2: All right. So that was the answer, and actually clearly

1259
00:55:58,800 --> 00:56:00,960
Speaker 2: was part of a concerted Stratt's put this up there

1260
00:56:00,960 --> 00:56:04,560
Speaker 2: on the screen, because immediately afterwards they put up on

1261
00:56:04,600 --> 00:56:08,719
Speaker 2: the big screen at a rally that Trump was incoming up. Yeah, Harrisburg, Pennsylvania,

1262
00:56:08,800 --> 00:56:13,600
Speaker 2: California is Kamala Harris becomes first Indian American US senator. So, Christal,

1263
00:56:13,719 --> 00:56:16,120
Speaker 2: you may have heard rhetoric like this before, because I

1264
00:56:16,120 --> 00:56:18,120
Speaker 2: think I was complaining about it. I think I was

1265
00:56:18,120 --> 00:56:21,920
Speaker 2: on our amah and all right, I'm going to do

1266
00:56:21,960 --> 00:56:24,120
Speaker 2: my best to try and thread the needle here because

1267
00:56:24,200 --> 00:56:27,280
Speaker 2: people are very upset about this, and I think, frankly

1268
00:56:27,320 --> 00:56:30,440
Speaker 2: a lot of it as crocodile tears. I think that

1269
00:56:30,560 --> 00:56:34,600
Speaker 2: Kamala Harris is somebody who was raised very much, almost

1270
00:56:34,680 --> 00:56:38,759
Speaker 2: identical to me. She was raised basically by an Indian professor,

1271
00:56:38,920 --> 00:56:42,759
Speaker 2: South Indian specifically, and for the vast majority of her

1272
00:56:42,800 --> 00:56:46,279
Speaker 2: early life identified as Indian. Her mother even said that

1273
00:56:46,360 --> 00:56:49,719
Speaker 2: she culturally identifies as Hindu. It is clear, though, that

1274
00:56:49,840 --> 00:56:54,440
Speaker 2: after she attended Howard University that become being quote unquote

1275
00:56:54,480 --> 00:56:57,960
Speaker 2: black and black only became the identity that she began

1276
00:56:58,040 --> 00:57:02,480
Speaker 2: to ascribe except when politically conven So Lee Fong reported

1277
00:57:02,560 --> 00:57:05,600
Speaker 2: in his sub stack several days ago that she ran

1278
00:57:05,760 --> 00:57:08,480
Speaker 2: as quote Kamala Davy hair. Davy is her middle name.

1279
00:57:08,520 --> 00:57:11,319
Speaker 2: It's an Indian word as well as South Asian. In

1280
00:57:11,360 --> 00:57:13,480
Speaker 2: her first race in two thousand and three, but by

1281
00:57:13,560 --> 00:57:16,120
Speaker 2: twenty twenty was listing her in her bio only as

1282
00:57:16,200 --> 00:57:19,000
Speaker 2: a black woman. And this is where if we connect

1283
00:57:19,120 --> 00:57:24,640
Speaker 2: our word clouds, the fake moniker, the being a chameleon,

1284
00:57:24,760 --> 00:57:27,640
Speaker 2: the code switching, which if we're all being honest and watching,

1285
00:57:27,640 --> 00:57:29,600
Speaker 2: is the way that she talks in front of various

1286
00:57:29,600 --> 00:57:33,880
Speaker 2: different audiences I think is unambiguously true. That is kind

1287
00:57:33,880 --> 00:57:35,959
Speaker 2: of where I think Trump is quo trying to quote

1288
00:57:36,000 --> 00:57:39,360
Speaker 2: unquote triangulate here and actually amongst Indians. This has been

1289
00:57:39,400 --> 00:57:41,720
Speaker 2: a long time beef with Kamala Harris. Is she forgot

1290
00:57:41,760 --> 00:57:43,000
Speaker 2: she was Indian a long time ago?

1291
00:57:43,240 --> 00:57:44,880
Speaker 3: So, and just to be clear about her hair, and

1292
00:57:44,960 --> 00:57:45,760
Speaker 3: her dad is Jamaica.

1293
00:57:45,920 --> 00:57:48,400
Speaker 2: Her dad is from Jamaica or was he from Jamaica?

1294
00:57:48,400 --> 00:57:49,720
Speaker 2: I think he is definitely Jamaica.

1295
00:57:49,800 --> 00:57:50,640
Speaker 3: He is Jamaica.

1296
00:57:50,680 --> 00:57:52,480
Speaker 1: And I think he's, you know, an immigrant from m

1297
00:57:52,640 --> 00:57:54,160
Speaker 1: I think both her parents were immigrants to the.

1298
00:57:54,200 --> 00:57:55,439
Speaker 3: United States and they met.

1299
00:57:55,480 --> 00:57:55,680
Speaker 2: Yeah.

1300
00:57:55,960 --> 00:57:59,360
Speaker 3: Yes, so mom is Indian, dad is Jamaican. She is biracial.

1301
00:57:59,440 --> 00:58:01,840
Speaker 1: At different in time, she has emphasized one part of

1302
00:58:01,840 --> 00:58:05,080
Speaker 1: her heritage versus another. Republicans are sharing this like clip

1303
00:58:05,080 --> 00:58:07,360
Speaker 1: of her with Mindy kayling like this is some big gotcha,

1304
00:58:07,920 --> 00:58:09,920
Speaker 1: which I actually think is sort of like counter to

1305
00:58:10,120 --> 00:58:12,160
Speaker 1: the narrative that like, oh now she only talks about

1306
00:58:12,160 --> 00:58:12,480
Speaker 1: being black?

1307
00:58:12,640 --> 00:58:14,040
Speaker 3: Is here she is in this clip with Mindy Kaylee.

1308
00:58:14,160 --> 00:58:14,920
Speaker 2: That's one time?

1309
00:58:15,960 --> 00:58:16,920
Speaker 3: Was the time? Am I being adiant?

1310
00:58:17,000 --> 00:58:20,720
Speaker 1: But in any case, I think you're one hundred percent correct.

1311
00:58:21,000 --> 00:58:24,200
Speaker 1: The goal here is to try to play, try to

1312
00:58:24,280 --> 00:58:28,200
Speaker 1: lay out a narrative of Kamala Harris as fake and

1313
00:58:28,280 --> 00:58:32,439
Speaker 1: as someone who in this part is very accurate, has

1314
00:58:32,480 --> 00:58:35,960
Speaker 1: been politically all over the place whatever has been convenient.

1315
00:58:36,440 --> 00:58:39,920
Speaker 1: I think that attack is pretty salient, although I have

1316
00:58:39,960 --> 00:58:41,600
Speaker 1: to tell you, after looking at our word clouds, I'm

1317
00:58:41,600 --> 00:58:44,000
Speaker 1: actually convinced that the incompetent attack is probably a more

1318
00:58:44,040 --> 00:58:46,520
Speaker 1: effective attack on her. But I think that like fake

1319
00:58:46,600 --> 00:58:49,320
Speaker 1: and doesn't believe it, I think that's more effective than

1320
00:58:49,400 --> 00:58:51,640
Speaker 1: that she's a radical liberal blah blah blah, as they

1321
00:58:51,640 --> 00:58:56,520
Speaker 1: say that about literally everybody. However, as I said before

1322
00:58:56,560 --> 00:58:59,240
Speaker 1: when we had the DEI debate, I think when you

1323
00:58:59,440 --> 00:59:03,280
Speaker 1: are the part that is constantly talking about someone's race

1324
00:59:03,440 --> 00:59:07,640
Speaker 1: and their gender, it is very off putting and not

1325
00:59:07,920 --> 00:59:11,760
Speaker 1: actually I actually think the biggest problem with these comments

1326
00:59:12,080 --> 00:59:16,320
Speaker 1: demographically isn't actually black people are women of color. I

1327
00:59:16,360 --> 00:59:19,760
Speaker 1: actually think it's white people because you know, if I

1328
00:59:19,800 --> 00:59:23,080
Speaker 1: go back to like Obama, white people in this country

1329
00:59:23,400 --> 00:59:26,560
Speaker 1: loved the idea that we were a country that would

1330
00:59:26,600 --> 00:59:31,680
Speaker 1: elect someone like Barack Obama, right, who had this complex

1331
00:59:32,120 --> 00:59:36,200
Speaker 1: biracial upbringing, who was you know, who would code switch,

1332
00:59:36,240 --> 00:59:39,520
Speaker 1: who was sort of like culturally ambiguous, could be different

1333
00:59:39,560 --> 00:59:42,720
Speaker 1: things to different groups, and you know, product of a

1334
00:59:43,200 --> 00:59:44,160
Speaker 1: one immigrant parent.

1335
00:59:44,240 --> 00:59:44,360
Speaker 3: Like.

1336
00:59:44,720 --> 00:59:49,760
Speaker 1: People liked that perception of the country and they liked

1337
00:59:49,800 --> 00:59:54,480
Speaker 1: what it said about themselves that they could vote for

1338
00:59:54,680 --> 00:59:57,840
Speaker 1: a Barack Obama with that background. So, you know, a

1339
00:59:57,840 --> 01:00:00,000
Speaker 1: lot of the stuff was tried with him. And I actually,

1340
01:00:00,200 --> 01:00:02,400
Speaker 1: I don't know if you remember this because you're much

1341
01:00:02,400 --> 01:00:03,960
Speaker 1: younger than me, but you probably do because you're a

1342
01:00:03,960 --> 01:00:04,560
Speaker 1: political nerd.

1343
01:00:04,600 --> 01:00:09,360
Speaker 3: But there was an effort on the left to say,

1344
01:00:09,480 --> 01:00:11,040
Speaker 3: Barack Obama's not really black.

1345
01:00:11,120 --> 01:00:13,520
Speaker 2: Oh yeah, this was a whole Jesse Paxson because he's.

1346
01:00:13,320 --> 01:00:17,160
Speaker 1: Not the descendant of African slaves. And this was widely

1347
01:00:17,600 --> 01:00:20,640
Speaker 1: mocked and ridiculed in sort of laughed down in the room.

1348
01:00:20,640 --> 01:00:22,320
Speaker 1: And then on the right you had which Donald Trump

1349
01:00:22,360 --> 01:00:24,840
Speaker 1: was a part of the whole BIRTHERRIHSM thing also really

1350
01:00:24,840 --> 01:00:28,600
Speaker 1: didn't land and wasn't an effective attack on Barack Obama.

1351
01:00:29,080 --> 01:00:32,479
Speaker 1: So that's why to me, trying to make the fake

1352
01:00:32,560 --> 01:00:35,840
Speaker 1: phony case with Kamala but by going in on her

1353
01:00:35,920 --> 01:00:39,080
Speaker 1: how she's identified herself and how she has at various

1354
01:00:39,080 --> 01:00:42,080
Speaker 1: times talked about her identity, I think it is such

1355
01:00:42,080 --> 01:00:43,880
Speaker 1: a political loser. And the last thing I'll say about

1356
01:00:43,880 --> 01:00:49,560
Speaker 1: this ogur is I think Trump misunderstands his own appeal

1357
01:00:50,160 --> 01:00:54,000
Speaker 1: because part of what has led Trump to be somewhat

1358
01:00:54,120 --> 01:00:57,120
Speaker 1: rehabbed in the public image is the fact that he

1359
01:00:57,200 --> 01:00:59,880
Speaker 1: was kicked off Twitter and people can't hear as crazy

1360
01:01:00,120 --> 01:01:04,080
Speaker 1: shit all day long anymore. And to me, what occurred

1361
01:01:04,120 --> 01:01:07,240
Speaker 1: here is, and I think some of this you agree with.

1362
01:01:07,720 --> 01:01:10,480
Speaker 1: He wasn't in the headlines. Kamlin was in the headlines,

1363
01:01:10,480 --> 01:01:14,160
Speaker 1: and Jade Vance and Cat Ladies was in the headlines.

1364
01:01:14,840 --> 01:01:17,120
Speaker 1: He can see the numbers, he can see the race

1365
01:01:17,440 --> 01:01:20,120
Speaker 1: slipping away a little bit. You know, he's still probably

1366
01:01:20,240 --> 01:01:23,720
Speaker 1: you know, somewhat the favorite, but it's very different ballgame.

1367
01:01:24,120 --> 01:01:25,960
Speaker 1: And I think he got a little bit freaked down

1368
01:01:26,280 --> 01:01:28,200
Speaker 1: and felt like I need to pull the fire alarm

1369
01:01:28,240 --> 01:01:30,120
Speaker 1: and do something that is going to get the cameras

1370
01:01:30,200 --> 01:01:33,720
Speaker 1: on me, whether it's good, bad, or indifferent. He thinks

1371
01:01:33,760 --> 01:01:37,000
Speaker 1: all controversy is good controversy, and I just I don't

1372
01:01:37,000 --> 01:01:38,080
Speaker 1: think that that's actually correct.

1373
01:01:38,080 --> 01:01:39,760
Speaker 2: This is where I'm just not sure. Look, I lived

1374
01:01:40,280 --> 01:01:42,720
Speaker 2: this is the thing. This was such a twenty sixteen

1375
01:01:42,760 --> 01:01:45,880
Speaker 2: moment and the media immediate reaction to it, and everyone's like, oh,

1376
01:01:45,960 --> 01:01:48,760
Speaker 2: he's finished, he's never gonna I'm like, guys, I lived

1377
01:01:48,760 --> 01:01:50,600
Speaker 2: through a cycle where what he questioned them, what was

1378
01:01:50,640 --> 01:01:52,440
Speaker 2: the Mexican judge. He's like, oh, he's not even a

1379
01:01:52,480 --> 01:01:55,360
Speaker 2: real American or something like. This was like day after day,

1380
01:01:55,760 --> 01:01:58,520
Speaker 2: who was the gold star father and the gold star

1381
01:01:58,560 --> 01:02:02,640
Speaker 2: mother on the stage family? Yeah, he attacked the con family. Right,

1382
01:02:02,720 --> 01:02:04,840
Speaker 2: It's one of those where listen, guys, I've seen it.

1383
01:02:04,880 --> 01:02:07,200
Speaker 2: I've seen this whole movie. And he won that election.

1384
01:02:07,320 --> 01:02:09,000
Speaker 2: So I'm just not going to sit here and pretend

1385
01:02:09,280 --> 01:02:11,840
Speaker 2: that this is going to be some earth shattering thing. Well,

1386
01:02:11,840 --> 01:02:15,040
Speaker 2: on the question of a race, now, I am. Look,

1387
01:02:15,080 --> 01:02:17,280
Speaker 2: I agree there are liberal white people who love the

1388
01:02:17,320 --> 01:02:20,200
Speaker 2: idea of voting for a black person. Now, this is

1389
01:02:20,200 --> 01:02:22,520
Speaker 2: also where I need to separate the politics, because on

1390
01:02:22,560 --> 01:02:25,640
Speaker 2: a personal level, this has always driven me nuts. And

1391
01:02:25,680 --> 01:02:28,120
Speaker 2: it's not just about Kama, it's people like Bobby Jindall

1392
01:02:28,320 --> 01:02:30,480
Speaker 2: and others who it's like, if you listened to him, Oh,

1393
01:02:30,520 --> 01:02:32,160
Speaker 2: he came out of nowhere and he just was born

1394
01:02:32,200 --> 01:02:35,080
Speaker 2: a Catholic. It's like, really, payush, is that what happened?

1395
01:02:35,320 --> 01:02:37,959
Speaker 2: Or maybe you know, you converted to Catholicism and now

1396
01:02:38,160 --> 01:02:40,600
Speaker 2: that's the only thing to even talk about with your identity.

1397
01:02:40,640 --> 01:02:44,120
Speaker 2: In fact, amongst Republicans, the only authentically Indian candidate who

1398
01:02:44,160 --> 01:02:47,680
Speaker 2: has ever run is vive Roswami, who never changed his position,

1399
01:02:47,960 --> 01:02:51,280
Speaker 2: never lied about his religion or made up some story.

1400
01:02:51,560 --> 01:02:53,800
Speaker 2: I think he's even a vegetarian, so he's more religious

1401
01:02:53,800 --> 01:02:56,360
Speaker 2: than I am. But my point is just that most

1402
01:02:56,440 --> 01:02:59,360
Speaker 2: Indians in this country, especially Republicans and others, they run

1403
01:02:59,400 --> 01:03:01,520
Speaker 2: away from it. Kama is also one of those people

1404
01:03:01,560 --> 01:03:04,240
Speaker 2: who was raised in the early times when there was

1405
01:03:04,240 --> 01:03:06,520
Speaker 2: only a couple hundred thousand Indians in America, and she

1406
01:03:06,640 --> 01:03:09,360
Speaker 2: ran away from her identity. And that drives me crazy because,

1407
01:03:09,440 --> 01:03:12,360
Speaker 2: like I said, she was raised like me. Her father

1408
01:03:12,480 --> 01:03:15,320
Speaker 2: wasn't even there around when she was being brought up

1409
01:03:15,360 --> 01:03:19,440
Speaker 2: in freaking Canada, like in like Winnipeg, Grant with her mother,

1410
01:03:20,040 --> 01:03:23,880
Speaker 2: she heavily identified, and then it's like politically, you know,

1411
01:03:24,160 --> 01:03:27,000
Speaker 2: it's very convenient in San Francisco, heavily Asian city. There

1412
01:03:27,040 --> 01:03:29,360
Speaker 2: you can be Kamma Davy Harris. But now you're just

1413
01:03:29,400 --> 01:03:31,680
Speaker 2: only a black woman. And I think that's gross. And

1414
01:03:31,720 --> 01:03:34,240
Speaker 2: that's why, like anytime somebody's time, somebody says, oh, she's

1415
01:03:34,280 --> 01:03:36,640
Speaker 2: Indian too, I'm like, yeah, well, she hasn't wanted to

1416
01:03:36,680 --> 01:03:39,160
Speaker 2: be for a long time. I do think the phony

1417
01:03:39,240 --> 01:03:41,880
Speaker 2: chameleon thing does hit a little bit. The reason it

1418
01:03:41,880 --> 01:03:45,440
Speaker 2: didn't work against Obama is Obama was authentic from the

1419
01:03:45,560 --> 01:03:48,360
Speaker 2: he wrote a whole book, Dreams of My Father, about

1420
01:03:48,480 --> 01:03:51,320
Speaker 2: his father who abandoned him, How he was half black

1421
01:03:51,480 --> 01:03:54,280
Speaker 2: and his father was from Kenya, How difficult and weird

1422
01:03:54,280 --> 01:03:57,680
Speaker 2: it was to be raised by his white grandparents in Kansas.

1423
01:03:57,840 --> 01:04:02,040
Speaker 2: How he came to black a culture also almost as

1424
01:04:02,080 --> 01:04:06,640
Speaker 2: a stranger, moving to Chicago. What was it marrying Michelle

1425
01:04:06,720 --> 01:04:09,520
Speaker 2: Obama and really like being what it was, knowing what

1426
01:04:09,560 --> 01:04:12,040
Speaker 2: it was like to be in like a black family there,

1427
01:04:12,040 --> 01:04:14,400
Speaker 2: and eventually coming up in black politics. Every single one

1428
01:04:14,440 --> 01:04:16,520
Speaker 2: of that is not only true, it's authentic, and that's

1429
01:04:16,520 --> 01:04:20,000
Speaker 2: why people didn't smell it as gross. With Kamala, I

1430
01:04:20,040 --> 01:04:22,880
Speaker 2: think that is where what people can at least project

1431
01:04:23,000 --> 01:04:26,080
Speaker 2: on is that fake Moniker and see somebody who has

1432
01:04:26,120 --> 01:04:29,600
Speaker 2: shape shifted her entire career. So I'm not so sure

1433
01:04:29,880 --> 01:04:33,400
Speaker 2: that it's a bad thing. And you know, look, whenever

1434
01:04:33,440 --> 01:04:35,920
Speaker 2: we think too about this white liberal vote and all

1435
01:04:36,000 --> 01:04:39,360
Speaker 2: that these people are voting for Kamala anyways, Like.

1436
01:04:39,320 --> 01:04:42,080
Speaker 1: There's a lot of suburban ladies out there, yeah, and

1437
01:04:42,080 --> 01:04:42,920
Speaker 1: they're all voting.

1438
01:04:42,720 --> 01:04:44,720
Speaker 2: Democratic as of abortion. I mean, it's just like, I

1439
01:04:44,720 --> 01:04:47,240
Speaker 2: don't think that this is really such a swing state killer.

1440
01:04:47,280 --> 01:04:48,680
Speaker 2: If it was, then it would have been bad in

1441
01:04:48,680 --> 01:04:49,400
Speaker 2: twenty sixteen.

1442
01:04:49,440 --> 01:04:51,959
Speaker 1: Here's the thing to me is like, first of all,

1443
01:04:52,000 --> 01:04:55,360
Speaker 1: I do think with some swing voters who were very

1444
01:04:55,480 --> 01:05:00,720
Speaker 1: concerned about voting for Biden, like it is the party

1445
01:05:00,720 --> 01:05:03,480
Speaker 1: that obsesses over rac and gender war is a party

1446
01:05:03,480 --> 01:05:05,560
Speaker 1: that is going to be losing. And right now it

1447
01:05:05,600 --> 01:05:08,160
Speaker 1: is the Republicans who are freaking out about her race

1448
01:05:08,240 --> 01:05:11,680
Speaker 1: and her gender, and we actually have her reaction. This

1449
01:05:11,720 --> 01:05:15,920
Speaker 1: is b seven. I actually thought she played this perfectly

1450
01:05:15,960 --> 01:05:19,520
Speaker 1: well because to me, what she and the Democrats should

1451
01:05:19,520 --> 01:05:23,160
Speaker 1: do is not to go into Hillary Clinton Pearl clutch,

1452
01:05:23,240 --> 01:05:27,120
Speaker 1: constant moral indignation mode. It should be to keep it moving,

1453
01:05:27,440 --> 01:05:30,840
Speaker 1: keep it moving. And I think she did actually a

1454
01:05:30,960 --> 01:05:34,280
Speaker 1: very effective job with that. Whether the media can do

1455
01:05:34,280 --> 01:05:35,920
Speaker 1: that or not is you know, kind of out of

1456
01:05:35,920 --> 01:05:38,320
Speaker 1: her control. But let's take a listen to what she

1457
01:05:38,440 --> 01:05:40,400
Speaker 1: had to say at the rally last night about these comments.

1458
01:05:40,440 --> 01:05:41,120
Speaker 1: This is B seven.

1459
01:05:41,400 --> 01:05:44,080
Speaker 10: We all here remember what those four years were like,

1460
01:05:44,960 --> 01:05:50,840
Speaker 10: and today we were given yet another reminder this afternoon,

1461
01:05:58,960 --> 01:06:03,040
Speaker 10: Donald Trump's at the annual meeting of the National Association

1462
01:06:03,160 --> 01:06:08,440
Speaker 10: of Black Journalists, and it was the same old show,

1463
01:06:10,040 --> 01:06:17,600
Speaker 10: the divisiveness and the disrespect. And let me just say,

1464
01:06:18,080 --> 01:06:22,960
Speaker 10: the American people deserve better. The American people deserve better.

1465
01:06:27,040 --> 01:06:30,360
Speaker 10: The American people deserve a leader who tells the truth,

1466
01:06:31,960 --> 01:06:35,960
Speaker 10: a leader who does not respond with hostility and anger

1467
01:06:36,280 --> 01:06:38,040
Speaker 10: when confronted with the facts.

1468
01:06:39,480 --> 01:06:41,120
Speaker 3: We deserve a leader.

1469
01:06:40,920 --> 01:06:48,040
Speaker 10: Who understands that our differences do not divide us. They

1470
01:06:48,120 --> 01:06:53,800
Speaker 10: are an essential source of our strengths. So I say

1471
01:06:54,960 --> 01:07:02,320
Speaker 10: to Sigma gammeuro Sorority Incorporated, is a fight for the future.

1472
01:07:02,840 --> 01:07:04,919
Speaker 1: So let me tell you why I think she played

1473
01:07:04,920 --> 01:07:06,439
Speaker 1: this one. We were joking while she was dying.

1474
01:07:06,480 --> 01:07:09,240
Speaker 3: It was Hillary. This is sexist and racist and how

1475
01:07:09,440 --> 01:07:11,880
Speaker 3: dare you? And it would have been about her.

1476
01:07:12,480 --> 01:07:14,840
Speaker 1: The reason this is the way to approach this is,

1477
01:07:14,880 --> 01:07:17,200
Speaker 1: first of all, she doesn't even go into what he said.

1478
01:07:17,240 --> 01:07:19,840
Speaker 1: Everybody knows like they're laughing, and she's in on the joke.

1479
01:07:20,120 --> 01:07:22,600
Speaker 1: She's you know, she's not flustered by she's laughing at him.

1480
01:07:23,000 --> 01:07:25,640
Speaker 1: And then she makes it about She says, the American

1481
01:07:25,680 --> 01:07:27,880
Speaker 1: people deserve that. This is the same we'll same old

1482
01:07:28,160 --> 01:07:31,360
Speaker 1: rush it aside, lap at him. American people deserve betterr

1483
01:07:31,360 --> 01:07:33,440
Speaker 1: And that's the way she needs to play this, and

1484
01:07:33,480 --> 01:07:36,880
Speaker 1: I think it's the most effective way because again I

1485
01:07:36,920 --> 01:07:40,280
Speaker 1: think the trap that Hillary felt. First of all, Hillary

1486
01:07:40,360 --> 01:07:44,160
Speaker 1: was already unlikable person. The crooked Hillary thing really stuck.

1487
01:07:44,240 --> 01:07:46,840
Speaker 1: I mean there was a lot going on there. Okay,

1488
01:07:47,840 --> 01:07:50,600
Speaker 1: Kamala hares right now, her favorability is actually coming up.

1489
01:07:50,760 --> 01:07:51,840
Speaker 3: People are liking.

1490
01:07:51,600 --> 01:07:54,560
Speaker 1: Her war and bort She's good in these settings and

1491
01:07:54,600 --> 01:07:56,600
Speaker 1: she has a natural ease to her that Hillary Clinton

1492
01:07:56,600 --> 01:07:59,720
Speaker 1: has literally never had. But the trap Hillary fell into

1493
01:08:00,240 --> 01:08:04,640
Speaker 1: was they would just go into constant pearl clutching, moral indignation,

1494
01:08:05,120 --> 01:08:08,960
Speaker 1: fretting about our children or watching whatever, and people people

1495
01:08:09,120 --> 01:08:12,280
Speaker 1: found it irritating. Was like, Okay, we get it. This

1496
01:08:12,320 --> 01:08:15,480
Speaker 1: guy's maniac. Move on, like, move on, move on, move on.

1497
01:08:16,080 --> 01:08:19,000
Speaker 1: And so anyway, I think that the Hairs campaign seems

1498
01:08:19,000 --> 01:08:21,600
Speaker 1: to have internalized those lessons, and so if they're the

1499
01:08:21,600 --> 01:08:23,760
Speaker 1: ones out there talking about, you know, things that people

1500
01:08:23,840 --> 01:08:27,639
Speaker 1: actually care about, and the Trump campaign is obsessing over

1501
01:08:27,800 --> 01:08:29,639
Speaker 1: when she said she was Indian and when she said

1502
01:08:29,680 --> 01:08:31,400
Speaker 1: she was black, and that she's a woman and is

1503
01:08:31,479 --> 01:08:33,000
Speaker 1: she a dei hihed and whatever?

1504
01:08:33,280 --> 01:08:35,439
Speaker 3: People are going to be like, who cares?

1505
01:08:35,640 --> 01:08:39,320
Speaker 1: Who cares whether she's black or Indian or biracial?

1506
01:08:39,439 --> 01:08:41,280
Speaker 3: And when she said what to whom, etc.

1507
01:08:42,040 --> 01:08:44,639
Speaker 1: You kind of are actually distracting from the core message

1508
01:08:44,680 --> 01:08:47,920
Speaker 1: you want to have about this is someone who's phony,

1509
01:08:47,960 --> 01:08:51,000
Speaker 1: who you know on the issues, is changing her position,

1510
01:08:51,120 --> 01:08:53,759
Speaker 1: and you make it exclusively about her race and gender

1511
01:08:54,160 --> 01:08:55,599
Speaker 1: versus that broader conversation.

1512
01:08:55,680 --> 01:08:57,360
Speaker 2: If they can connect the two, I still think it

1513
01:08:57,360 --> 01:09:00,599
Speaker 2: could be potent. I think the door's out. We need

1514
01:09:00,640 --> 01:09:02,160
Speaker 2: to see I want to wait a little bit longer

1515
01:09:02,200 --> 01:09:04,200
Speaker 2: and see how it goes. But I hate to say it,

1516
01:09:04,240 --> 01:09:06,799
Speaker 2: I agree because one of the things that you're hoping

1517
01:09:06,840 --> 01:09:08,880
Speaker 2: for when you're Trump is the freak out is been about.

1518
01:09:08,960 --> 01:09:12,400
Speaker 2: Dare you, mister Trump? You are a racist, and it's like, oh,

1519
01:09:12,520 --> 01:09:15,639
Speaker 2: never heard that one before. So with the media reaction,

1520
01:09:15,720 --> 01:09:18,600
Speaker 2: they responded very predictably, But I actually thought that was

1521
01:09:18,600 --> 01:09:20,880
Speaker 2: a relatively measured response. That's basically how I would have

1522
01:09:20,880 --> 01:09:23,280
Speaker 2: played it the start play, you know, going forward, and

1523
01:09:23,320 --> 01:09:25,880
Speaker 2: if anything, maybe it shows Democrats have learned something which

1524
01:09:25,920 --> 01:09:30,200
Speaker 2: is constantly concerned. Trolling about our children watching just doesn't work.

1525
01:09:30,240 --> 01:09:34,720
Speaker 2: It's a completely failed strategy. So she had some confidence there. Again, though,

1526
01:09:34,760 --> 01:09:37,160
Speaker 2: we need to see this woman in an interview. I desperately,

1527
01:09:37,360 --> 01:09:39,400
Speaker 2: desperately need to see her on I don't even care

1528
01:09:39,439 --> 01:09:41,880
Speaker 2: about this, I need to see you know, like, why

1529
01:09:41,920 --> 01:09:44,360
Speaker 2: did you reverse five of your seven positions that you

1530
01:09:44,479 --> 01:09:46,400
Speaker 2: ran on when you were a president in the span

1531
01:09:46,560 --> 01:09:49,000
Speaker 2: of the eleven days since you've been running for president? Yeah,

1532
01:09:49,040 --> 01:09:51,760
Speaker 2: because that would be ten times more powerful than any

1533
01:09:51,760 --> 01:09:53,639
Speaker 2: of the stuff that we're even talking about here. Yeah,

1534
01:09:53,640 --> 01:09:54,080
Speaker 2: So there you go.

1535
01:09:54,280 --> 01:09:55,400
Speaker 3: Yep, I agree with all of that.

1536
01:09:58,080 --> 01:10:00,240
Speaker 1: So, as Emily and I covered with doctor t to

1537
01:10:00,280 --> 01:10:03,479
Speaker 1: Parsi yesterday, there have been an extraordinary series of events

1538
01:10:03,520 --> 01:10:06,000
Speaker 1: in the Middle East over the course of a very

1539
01:10:06,040 --> 01:10:09,839
Speaker 1: short period of time. Israel first assassinated a top Hesbola

1540
01:10:10,040 --> 01:10:13,439
Speaker 1: commander in Beirut, in the capital of Lebanon, and then

1541
01:10:14,080 --> 01:10:18,880
Speaker 1: they it appears, assassinated Ismail Hania, who was in Tehran,

1542
01:10:19,240 --> 01:10:22,720
Speaker 1: so in the Iranian capital, and he was the political

1543
01:10:23,040 --> 01:10:27,240
Speaker 1: head of Hamas Ron of course, threatening retaliation. You can

1544
01:10:27,240 --> 01:10:28,760
Speaker 1: only imagine what we would do if there was an

1545
01:10:28,760 --> 01:10:30,840
Speaker 1: assassination in Washington.

1546
01:10:30,439 --> 01:10:30,640
Speaker 6: D C.

1547
01:10:30,920 --> 01:10:31,879
Speaker 3: How we would respond.

1548
01:10:32,680 --> 01:10:36,320
Speaker 1: And we are also dealing with the fallout of those

1549
01:10:36,439 --> 01:10:41,600
Speaker 1: ceasefire negotiations because Hania was one of the key figures

1550
01:10:41,640 --> 01:10:45,000
Speaker 1: in Hamas who was actually pushing for a deal against

1551
01:10:45,320 --> 01:10:48,839
Speaker 1: Yaya Sinoir and some of the other more hardline Hamas members.

1552
01:10:49,240 --> 01:10:54,000
Speaker 1: So Israel has effectively assassinated the top negotiator in those

1553
01:10:54,040 --> 01:10:59,160
Speaker 1: ceasfire negotiations. Secretary State Tony Blincoln was asked about exactly

1554
01:10:59,360 --> 01:11:01,840
Speaker 1: what this will mean going forward for the negotiations.

1555
01:11:01,880 --> 01:11:05,559
Speaker 3: Let's take a listen, Henya was involved in ceasefire talks

1556
01:11:05,600 --> 01:11:06,120
Speaker 3: in Gaza.

1557
01:11:06,240 --> 01:11:07,880
Speaker 2: What impact is his death going to have?

1558
01:11:08,640 --> 01:11:13,120
Speaker 12: Well, of course I've seen the reports, and what I

1559
01:11:13,120 --> 01:11:16,640
Speaker 12: can tell you is this first, this is something we

1560
01:11:16,640 --> 01:11:21,559
Speaker 12: were not aware of or involved in. It's very hard

1561
01:11:21,600 --> 01:11:24,280
Speaker 12: to speculate, and I've learned over many years never to

1562
01:11:24,280 --> 01:11:27,920
Speaker 12: speculate on the impact one event may have on something else.

1563
01:11:28,800 --> 01:11:30,439
Speaker 12: So I can't tell you.

1564
01:11:30,640 --> 01:11:33,439
Speaker 1: So Sagara interested for your reaction. I mean a couple

1565
01:11:33,479 --> 01:11:35,680
Speaker 1: things that are noteworthy there. Obviously he's claimed, Oh, I

1566
01:11:35,680 --> 01:11:37,600
Speaker 1: don't know what this will mean, Like, obviously this is

1567
01:11:37,640 --> 01:11:41,559
Speaker 1: going to be a problem, and it's entirely consistent with

1568
01:11:41,760 --> 01:11:44,640
Speaker 1: the track record of Bibi Netna, who doing everything he

1569
01:11:44,720 --> 01:11:48,160
Speaker 1: can to blow up these negotiations at literally every point.

1570
01:11:48,320 --> 01:11:50,200
Speaker 1: So let's put that aside. The other thing he claims

1571
01:11:50,240 --> 01:11:52,080
Speaker 1: there is that the US had no idea. That may

1572
01:11:52,120 --> 01:11:54,160
Speaker 1: be true, I don't know, but it also may not

1573
01:11:54,200 --> 01:11:56,759
Speaker 1: be true because remember Bibi Netanya, who was in town

1574
01:11:57,040 --> 01:12:00,640
Speaker 1: last week, there were these were both very sophisticated, so

1575
01:12:00,760 --> 01:12:02,920
Speaker 1: raise a lot of questions, Hey, was the CIA involved

1576
01:12:02,960 --> 01:12:04,719
Speaker 1: in helping to plan this? I can tell you people

1577
01:12:04,720 --> 01:12:07,080
Speaker 1: in the region are very skeptical that the US had

1578
01:12:07,080 --> 01:12:08,479
Speaker 1: no idea, had nothing to do with this.

1579
01:12:08,760 --> 01:12:11,160
Speaker 2: I well, I'm not sure which, you know, is more

1580
01:12:11,240 --> 01:12:13,160
Speaker 2: terrifying that we knew or that we didn't know. If

1581
01:12:13,200 --> 01:12:15,040
Speaker 2: we did know and then we were lying about it

1582
01:12:15,080 --> 01:12:16,960
Speaker 2: and then yet still bearing the costs, or if we

1583
01:12:17,000 --> 01:12:19,600
Speaker 2: didn't know and then that were somebody who's backing to

1584
01:12:19,680 --> 01:12:21,639
Speaker 2: the hilt. So in a certain sense, it doesn't really

1585
01:12:21,680 --> 01:12:24,160
Speaker 2: matter you know which one it was, because we're going

1586
01:12:24,200 --> 01:12:26,360
Speaker 2: to bear the brunt of that no matter what. That

1587
01:12:26,439 --> 01:12:29,280
Speaker 2: was very evident with Secretary of Defense Lloyd Austin being

1588
01:12:29,320 --> 01:12:31,200
Speaker 2: asked about this, Let's take a list.

1589
01:12:31,520 --> 01:12:35,920
Speaker 9: If Israel is attacked, we certainly will help defend Israel.

1590
01:12:36,000 --> 01:12:38,439
Speaker 9: You see, you saw us do that in April. You

1591
01:12:38,439 --> 01:12:40,880
Speaker 9: can expect to see us do that again. But we

1592
01:12:40,880 --> 01:12:42,720
Speaker 9: we don't want to see any of that happen. We're

1593
01:12:42,720 --> 01:12:45,600
Speaker 9: going to work hard to make sure that that you know,

1594
01:12:45,840 --> 01:12:48,600
Speaker 9: we're doing things to help take the temperature down and

1595
01:12:49,160 --> 01:12:51,960
Speaker 9: address issues through diplomatic means.

1596
01:12:52,160 --> 01:12:55,200
Speaker 2: You're in and out folks, whether you like it or not. Right, that's,

1597
01:12:55,240 --> 01:12:56,840
Speaker 2: you know, one of those things. People were like, what

1598
01:12:56,880 --> 01:12:59,439
Speaker 2: are you not saying these shouldn't have been killed? I'm like, well,

1599
01:13:00,040 --> 01:13:02,120
Speaker 2: let's just say this. It's kind of a statement. Right,

1600
01:13:02,200 --> 01:13:03,800
Speaker 2: he's been sitting in Katar, So if you want to

1601
01:13:03,840 --> 01:13:05,360
Speaker 2: kill him, why didn't you kill him in Kuitar? Why

1602
01:13:05,360 --> 01:13:06,920
Speaker 2: didn't If he's on a plane, why didn't you blow

1603
01:13:06,920 --> 01:13:07,280
Speaker 2: the planet?

1604
01:13:07,360 --> 01:13:07,559
Speaker 3: This guy?

1605
01:13:07,760 --> 01:13:10,000
Speaker 2: I mean, I think killing somebody in the what was

1606
01:13:10,000 --> 01:13:12,519
Speaker 2: it the presidential complex on the first day of the

1607
01:13:12,560 --> 01:13:16,479
Speaker 2: reign of the Iranian president. That was a very coordinated statement,

1608
01:13:16,680 --> 01:13:18,760
Speaker 2: you know by the Israelis just to the level of

1609
01:13:18,760 --> 01:13:22,960
Speaker 2: penetration they have, their technology, the lack of Iranian missile defense.

1610
01:13:23,000 --> 01:13:25,960
Speaker 2: There's a whole host of military things. But politically it's

1611
01:13:26,000 --> 01:13:27,800
Speaker 2: a you know, it's like a hey, we know, we're

1612
01:13:27,840 --> 01:13:29,960
Speaker 2: not afraid of you. And in a certain sense, like

1613
01:13:30,080 --> 01:13:32,439
Speaker 2: shouldn't be right because America is the one that is

1614
01:13:32,479 --> 01:13:34,120
Speaker 2: now underwriting all of this. Now, if they had to

1615
01:13:34,120 --> 01:13:35,920
Speaker 2: stand on their own, it'd be a whole other story,

1616
01:13:36,080 --> 01:13:39,040
Speaker 2: wasn't it, Because what did didn't you and Ryan cover this?

1617
01:13:39,200 --> 01:13:42,280
Speaker 2: I mean, Hasbola missiles penetrated the Iron Dome? Are we

1618
01:13:42,320 --> 01:13:43,760
Speaker 2: all just going to ignore that that was like two

1619
01:13:43,800 --> 01:13:47,240
Speaker 2: weeks ago? And here this attack that just happened where

1620
01:13:47,240 --> 01:13:49,519
Speaker 2: twelve people were killed. I don't know, it could be

1621
01:13:49,560 --> 01:13:52,559
Speaker 2: as well whatever regardless, something went wrong, I think, and

1622
01:13:52,640 --> 01:13:55,040
Speaker 2: that should kind of shake people in Israel to their core.

1623
01:13:55,320 --> 01:13:57,599
Speaker 2: But they don't seem to be afraid because they think

1624
01:13:57,640 --> 01:14:00,400
Speaker 2: America is going to bail them out, and increasingly that

1625
01:14:00,560 --> 01:14:03,639
Speaker 2: it just seems like the correct assumption and now ears

1626
01:14:03,960 --> 01:14:06,920
Speaker 2: who is running this country. Is it Blincoln? Is it

1627
01:14:07,479 --> 01:14:10,439
Speaker 2: you know, Lloyd Austin. Who's making the security guarantees? Is

1628
01:14:10,520 --> 01:14:12,439
Speaker 2: Joe Biden? Even on the phone here? One of the

1629
01:14:12,479 --> 01:14:14,880
Speaker 2: things we've learned electorally is Joe Biden when called people

1630
01:14:14,880 --> 01:14:17,280
Speaker 2: back Sean Faine apparently requested a phone call with him,

1631
01:14:17,479 --> 01:14:20,000
Speaker 2: Biden didn't call him. Yeah, are you calling beebe Like,

1632
01:14:20,040 --> 01:14:22,880
Speaker 2: who's running this stuff? Next? It's terrian plastic question.

1633
01:14:23,160 --> 01:14:25,280
Speaker 3: That is a fantastic and very legitimate question.

1634
01:14:25,400 --> 01:14:29,040
Speaker 1: We haven't heard a peep anything Joe Biden about any

1635
01:14:29,080 --> 01:14:31,559
Speaker 1: of this, not that that would really allay the concerns.

1636
01:14:31,640 --> 01:14:34,040
Speaker 1: Let's be clear about who is really running things behind

1637
01:14:34,080 --> 01:14:36,680
Speaker 1: the scenes. I mean, unfortunately, I think Biden mostly has

1638
01:14:36,680 --> 01:14:38,679
Speaker 1: been running the Israel policy, which is part of why

1639
01:14:38,720 --> 01:14:42,760
Speaker 1: it has been so utterly dreadful and destructive both to

1640
01:14:42,800 --> 01:14:46,320
Speaker 1: the US, to Israel, and most first and foremost to Palestinians.

1641
01:14:47,439 --> 01:14:49,320
Speaker 3: You know, this type.

1642
01:14:49,120 --> 01:14:55,280
Speaker 1: Of potentially escalatory spiral and true chaos and true breakout

1643
01:14:55,360 --> 01:15:00,600
Speaker 1: of a massive regional war has been is so predictable

1644
01:15:01,040 --> 01:15:04,720
Speaker 1: and has been completely predictable from the beginning and was

1645
01:15:04,760 --> 01:15:08,439
Speaker 1: a key part of why we've been people like us

1646
01:15:08,479 --> 01:15:11,240
Speaker 1: have been pushing for a seaspire for so long, because

1647
01:15:11,280 --> 01:15:14,080
Speaker 1: the longer the conflict goes on, the more you have

1648
01:15:14,160 --> 01:15:18,200
Speaker 1: a risk of exactly this type of dangerous chaos unfolding.

1649
01:15:18,560 --> 01:15:21,280
Speaker 1: So it is unconscionable to me that our secretary of

1650
01:15:21,320 --> 01:15:24,679
Speaker 1: Defense comes right out and of course, of course we'll.

1651
01:15:24,600 --> 01:15:25,480
Speaker 3: Join the hostilities.

1652
01:15:25,520 --> 01:15:27,920
Speaker 1: Of course we'll have Israel's back, because make no mistake

1653
01:15:27,920 --> 01:15:30,839
Speaker 1: about it, Aron is already saying they're gonna retaliate Hezela.

1654
01:15:30,960 --> 01:15:34,320
Speaker 1: To your point, Sager, this is a formidable foe they have.

1655
01:15:34,560 --> 01:15:36,880
Speaker 1: Jeremy Scahill over at drop Site News we used this

1656
01:15:36,920 --> 01:15:40,320
Speaker 1: in the show yesterday. He interviewed a top scholar of

1657
01:15:40,520 --> 01:15:43,639
Speaker 1: Hesbela who has studied them and their methods and their

1658
01:15:43,680 --> 01:15:46,040
Speaker 1: tactics and who they are, and how many fighters they have.

1659
01:15:46,160 --> 01:15:49,719
Speaker 1: They have somewhere around one hundred thousand fighters, very different

1660
01:15:49,760 --> 01:15:54,759
Speaker 1: from Hamas. They have very sophisticated weaponry, and he says

1661
01:15:54,840 --> 01:15:58,919
Speaker 1: if they entered a full scale war Israel versus Hesbla,

1662
01:15:59,360 --> 01:16:01,559
Speaker 1: it could be so devastating that it could lead to

1663
01:16:02,000 --> 01:16:04,719
Speaker 1: this is his words, the unraveling of the Israeli states.

1664
01:16:04,720 --> 01:16:07,200
Speaker 3: Oh question, So I mean, I'm not saying that's what

1665
01:16:07,240 --> 01:16:07,800
Speaker 3: would happen.

1666
01:16:07,800 --> 01:16:10,280
Speaker 1: I asked, I asked doctor Parci about this, and he

1667
01:16:10,360 --> 01:16:11,800
Speaker 1: said to say, is that I'm not saying that's what

1668
01:16:11,800 --> 01:16:15,200
Speaker 1: would happen, but many analysts and scholars believe that is

1669
01:16:15,240 --> 01:16:17,719
Speaker 1: the level of destruction that we're talking about that would

1670
01:16:17,720 --> 01:16:20,600
Speaker 1: be on the table. Let's put this next piece up

1671
01:16:20,600 --> 01:16:24,600
Speaker 1: on the screen. From the Financial Times headline here assassinated

1672
01:16:24,600 --> 01:16:27,840
Speaker 1: the arch enemies of Israel killed in twin strikes. It

1673
01:16:27,920 --> 01:16:32,080
Speaker 1: also is not lost on me that these dual assassinations

1674
01:16:32,439 --> 01:16:38,360
Speaker 1: come as Israel was facing a massive domestic political crisis,

1675
01:16:38,360 --> 01:16:40,719
Speaker 1: which we covered here on the show earlier this week,

1676
01:16:41,640 --> 01:16:46,879
Speaker 1: members of the Kanesset joining up with right wing militia

1677
01:16:47,320 --> 01:16:52,080
Speaker 1: mob to storm two separate Israeli bases because they were

1678
01:16:52,160 --> 01:16:56,240
Speaker 1: upset about soldiers being prosecuted for the gang rape of Palestinians.

1679
01:16:56,280 --> 01:16:59,960
Speaker 1: Are literally rioting to protect soldier's right to gang rate

1680
01:17:00,520 --> 01:17:04,880
Speaker 1: Palestinian detainees that were being held there. So this was

1681
01:17:04,920 --> 01:17:08,479
Speaker 1: a moment of massive political crisis for bb Net Yahoo.

1682
01:17:08,920 --> 01:17:11,639
Speaker 1: You can bet that all political factions in the country

1683
01:17:11,680 --> 01:17:16,479
Speaker 1: are united behind the efficacy and the execution of these

1684
01:17:16,600 --> 01:17:19,799
Speaker 1: two assassinations. And then the other way it serves boebe

1685
01:17:19,840 --> 01:17:23,760
Speaker 1: is it once again drags us in and expands and

1686
01:17:23,800 --> 01:17:27,559
Speaker 1: extends the conflict, kills the ceasefire negotiations, as I said,

1687
01:17:27,600 --> 01:17:29,639
Speaker 1: which he has never wanted to go forward with.

1688
01:17:29,720 --> 01:17:32,000
Speaker 3: And just to back up what I was saying about.

1689
01:17:31,720 --> 01:17:33,559
Speaker 1: That from the Financial Times, the piece we just had

1690
01:17:33,600 --> 01:17:36,840
Speaker 1: up on the screen, they write, honea is killing risks

1691
01:17:36,880 --> 01:17:40,519
Speaker 1: the failure of the already stalled indirect negotiations between Israel

1692
01:17:40,520 --> 01:17:41,080
Speaker 1: and Hamas.

1693
01:17:41,439 --> 01:17:41,879
Speaker 3: Quote.

1694
01:17:41,960 --> 01:17:44,080
Speaker 1: He was one of the ones pushing for a deal

1695
01:17:44,120 --> 01:17:46,280
Speaker 1: and compromise, and because of his stature, he was able

1696
01:17:46,320 --> 01:17:48,040
Speaker 1: to speak to the guys in Gaza in a more

1697
01:17:48,080 --> 01:17:51,680
Speaker 1: convincing way than other guys. According to an Arab diplomat,

1698
01:17:51,880 --> 01:17:54,680
Speaker 1: while there were others from Hamas involved in the negotiations,

1699
01:17:54,720 --> 01:17:57,400
Speaker 1: you've lost a big voice who was influential and could

1700
01:17:57,439 --> 01:18:00,760
Speaker 1: have a strong say internally within Hama and was for

1701
01:18:00,960 --> 01:18:04,080
Speaker 1: a deal. The Katari Prime minister also said that the

1702
01:18:04,160 --> 01:18:07,120
Speaker 1: killing would endanger the talks quote how can mediation succeed

1703
01:18:07,479 --> 01:18:11,479
Speaker 1: when one party assassinates the negotiator on the other side.

1704
01:18:11,840 --> 01:18:15,320
Speaker 1: So doctor Parcy's analysis saga was that part of the

1705
01:18:15,360 --> 01:18:18,200
Speaker 1: motivation here too, maybe to try to box in a

1706
01:18:18,280 --> 01:18:21,120
Speaker 1: Kamala Harris, where there's a question mark about how she

1707
01:18:21,160 --> 01:18:23,479
Speaker 1: would approach this conflict and whether it could be different

1708
01:18:23,800 --> 01:18:26,400
Speaker 1: from Joe Biden. But if you drag us into some

1709
01:18:26,520 --> 01:18:30,200
Speaker 1: freaking regional war, then she is stuck, stuck pursuing the

1710
01:18:30,200 --> 01:18:32,200
Speaker 1: same failed strategy of a Joe Biden.

1711
01:18:32,240 --> 01:18:34,000
Speaker 2: Well it would be smart, That's exactly what I would do.

1712
01:18:34,080 --> 01:18:36,479
Speaker 2: You know, he box them in, and then she's already uttered.

1713
01:18:36,520 --> 01:18:38,920
Speaker 2: The shibbolith of American politics Israel.

1714
01:18:39,000 --> 01:18:40,040
Speaker 3: Right to defend itself.

1715
01:18:40,200 --> 01:18:44,960
Speaker 2: Yes, something must something you must repeat over and over

1716
01:18:45,000 --> 01:18:47,240
Speaker 2: and over again. To become president. You have to say

1717
01:18:47,240 --> 01:18:49,000
Speaker 2: it three times and turn around. And that's what makes

1718
01:18:49,000 --> 01:18:51,439
Speaker 2: you American president. Let's put this up there on the screen.

1719
01:18:51,479 --> 01:18:54,719
Speaker 2: C six please. This is the terrifying stuff that's happening

1720
01:18:54,760 --> 01:18:57,800
Speaker 2: again with no president on the watch. The Department of

1721
01:18:57,840 --> 01:19:00,719
Speaker 2: State has now raised its Lebanon travel advice to quote

1722
01:19:00,720 --> 01:19:03,960
Speaker 2: do not travel, recommending that US citizens en roll to

1723
01:19:04,080 --> 01:19:07,840
Speaker 2: receive alert. You also have multiple domestic airlines here in

1724
01:19:07,880 --> 01:19:11,519
Speaker 2: the United States canceling their flights to Israel, as evidenced

1725
01:19:11,600 --> 01:19:14,280
Speaker 2: by the fact that they are afraid of Hezbolah rockets.

1726
01:19:14,360 --> 01:19:17,599
Speaker 2: So all of the ingredients for a massive conflagration, Are

1727
01:19:17,600 --> 01:19:21,320
Speaker 2: there no. Basically, Biden is asleep at the wheel. This

1728
01:19:21,400 --> 01:19:23,200
Speaker 2: might be bee one of the most dangerous times in

1729
01:19:23,320 --> 01:19:26,839
Speaker 2: the international system because America is bogged down in Ukraine

1730
01:19:27,240 --> 01:19:29,240
Speaker 2: just people. You know, it doesn't even make the news

1731
01:19:29,240 --> 01:19:31,200
Speaker 2: that we just shipped a bunch of F sixteens to

1732
01:19:31,280 --> 01:19:35,240
Speaker 2: Ukraine yesterday with advanced weaponry which takes forever to manufacture

1733
01:19:35,439 --> 01:19:37,280
Speaker 2: here in America. It's cool, you know, if we go

1734
01:19:37,360 --> 01:19:39,240
Speaker 2: to shortage, it'll be all right. We have thirty five

1735
01:19:39,320 --> 01:19:41,599
Speaker 2: hundred troops in Iraq and Syria, some who have already

1736
01:19:41,640 --> 01:19:45,719
Speaker 2: been attacked as a result of this. Very recently. America

1737
01:19:45,840 --> 01:19:47,880
Speaker 2: actually had an air striking I Rock just two days ago,

1738
01:19:48,040 --> 01:19:50,120
Speaker 2: trying to take down somebody before they launched an attack

1739
01:19:50,360 --> 01:19:54,040
Speaker 2: on US soldiers. We got this Iran Israel situation. Secretary

1740
01:19:54,040 --> 01:19:55,840
Speaker 2: of Defense says we're ready to roll. So we got

1741
01:19:55,840 --> 01:19:59,479
Speaker 2: two front war basically on the brink right now. Who

1742
01:19:59,520 --> 01:20:01,719
Speaker 2: knows what the hell is going on in East Asia?

1743
01:20:02,439 --> 01:20:03,320
Speaker 2: Could be good, you.

1744
01:20:03,280 --> 01:20:04,400
Speaker 3: Know, unbelievable.

1745
01:20:04,520 --> 01:20:07,360
Speaker 1: And the last thing that I'll say, you can put

1746
01:20:07,520 --> 01:20:10,599
Speaker 1: C four up on the screen in terms of the

1747
01:20:10,920 --> 01:20:14,200
Speaker 1: likely Iranian response. This is from the uh This is

1748
01:20:14,200 --> 01:20:18,479
Speaker 1: from the political Sorry, this is from Supreme Leader company.

1749
01:20:18,920 --> 01:20:21,400
Speaker 1: Following this bitter tragic event which has taken place within

1750
01:20:21,439 --> 01:20:23,799
Speaker 1: the borders of the Islamic Republic, it is our duty

1751
01:20:24,400 --> 01:20:27,920
Speaker 1: to take revenge. And as we speak, I just saw

1752
01:20:28,040 --> 01:20:32,320
Speaker 1: a Reuter's report that Iran and their proxies are meeting

1753
01:20:32,400 --> 01:20:36,800
Speaker 1: to discuss retaliation. Representatives of Iran's Palestinian allies Hamas and

1754
01:20:36,840 --> 01:20:40,160
Speaker 1: the Islamic Jitti had as well as Yemen's Tehran Bakhuthi movement,

1755
01:20:40,240 --> 01:20:43,880
Speaker 1: Lebano's Hedspula and Iraqi resistance groups are all attending this

1756
01:20:44,000 --> 01:20:48,240
Speaker 1: meeting in Tehran. So we're all watching and waiting to

1757
01:20:48,320 --> 01:20:51,400
Speaker 1: see what happens next. But make no mistake, this is

1758
01:20:51,439 --> 01:20:52,519
Speaker 1: a very dangerous situation.

1759
01:20:52,600 --> 01:20:54,400
Speaker 2: Yeah, and that president it was his very first day

1760
01:20:54,439 --> 01:20:56,120
Speaker 2: on the job. So what do you What do all

1761
01:20:56,200 --> 01:20:58,760
Speaker 2: presidents do Whenever something happens in your hometown. You have

1762
01:20:58,800 --> 01:21:02,000
Speaker 2: to appear shows to strength. It doesn't take a genius

1763
01:21:02,040 --> 01:21:03,920
Speaker 2: like they have politics, just like we have politics. Yes,

1764
01:21:03,920 --> 01:21:06,200
Speaker 2: I understand it's a dictatorship, et cetera. Still a big

1765
01:21:06,240 --> 01:21:08,120
Speaker 2: ass country with a big population, and you still have

1766
01:21:08,200 --> 01:21:11,800
Speaker 2: to manage and think about you know what the populace

1767
01:21:11,840 --> 01:21:15,280
Speaker 2: is thinking and how to maintain your grip on power.

1768
01:21:15,400 --> 01:21:17,600
Speaker 2: He's got internal you know, fights that he has to

1769
01:21:17,640 --> 01:21:20,479
Speaker 2: have with the IRGC who just had somebody blown up

1770
01:21:20,479 --> 01:21:22,920
Speaker 2: in their own headquarters. Like, it doesn't take a genius

1771
01:21:22,960 --> 01:21:25,519
Speaker 2: to figure out which way that the domestic politics of

1772
01:21:25,560 --> 01:21:27,960
Speaker 2: each country is going to push them towards. It's only

1773
01:21:28,000 --> 01:21:30,280
Speaker 2: ours apparently, where our domestic politics doesn't matter.

1774
01:21:30,320 --> 01:21:33,800
Speaker 1: It's just governed by these other by Israel in particular.

1775
01:21:33,880 --> 01:21:36,080
Speaker 1: But no, to your point, he was elected the new

1776
01:21:36,360 --> 01:21:41,000
Speaker 1: Iranian president as a relative moderate, which on the one hand,

1777
01:21:41,000 --> 01:21:43,160
Speaker 1: you can say, okay, well maybe he'd be more interested

1778
01:21:43,240 --> 01:21:46,360
Speaker 1: in de escalation, and the Iranians have Actually, you know,

1779
01:21:46,400 --> 01:21:51,439
Speaker 1: the previous retaliation was closely calculated to show strength but

1780
01:21:51,920 --> 01:21:55,679
Speaker 1: hopefully not be escalatory, you know, in terms of making

1781
01:21:55,680 --> 01:21:58,000
Speaker 1: sure that there were no massive like civilian debts or

1782
01:21:58,040 --> 01:22:03,160
Speaker 1: anything like that. So, however, you also have a dynamic

1783
01:22:03,240 --> 01:22:05,559
Speaker 1: where you can imagine here, if someone is elected as

1784
01:22:05,640 --> 01:22:08,000
Speaker 1: kind of like a dove, then you got to beat

1785
01:22:08,040 --> 01:22:09,559
Speaker 1: the rap that you're going to be too soft in

1786
01:22:09,560 --> 01:22:12,000
Speaker 1: a situation like this. So in any case, we'll see

1787
01:22:12,000 --> 01:22:17,640
Speaker 1: how this all unfolds. At the same time, we are

1788
01:22:17,680 --> 01:22:21,519
Speaker 1: watching closely the veepstakes for Kamala Harris, because I do

1789
01:22:21,560 --> 01:22:25,080
Speaker 1: think that who she picks will be quite consequential as

1790
01:22:25,120 --> 01:22:28,040
Speaker 1: a validator for her potentially to help shore up some

1791
01:22:28,120 --> 01:22:32,400
Speaker 1: of those Midwestern former blue Wall states. And one of

1792
01:22:32,439 --> 01:22:35,480
Speaker 1: the top contenders who has emerged is Governor Josh Shapiro.

1793
01:22:36,080 --> 01:22:39,200
Speaker 1: He has come under a lot of scrutiny from people

1794
01:22:39,240 --> 01:22:42,480
Speaker 1: like me and others on the left because in particular

1795
01:22:43,040 --> 01:22:46,760
Speaker 1: of some very strident comments he made about student protesters,

1796
01:22:46,880 --> 01:22:48,160
Speaker 1: comparing them to the KKK.

1797
01:22:48,240 --> 01:22:49,920
Speaker 3: I'm going to bring you those comments.

1798
01:22:49,520 --> 01:22:52,839
Speaker 1: Shortly, but in addition, he also took actions to directly

1799
01:22:52,920 --> 01:22:57,800
Speaker 1: quash protests within the state. He also is bad on

1800
01:22:57,960 --> 01:23:01,920
Speaker 1: charter schools from our perspective, from a left perspective, and

1801
01:23:02,000 --> 01:23:04,160
Speaker 1: has earned the iyre of a lot of unions because

1802
01:23:04,200 --> 01:23:06,559
Speaker 1: of that. He just came out and did this whole thing,

1803
01:23:06,600 --> 01:23:10,240
Speaker 1: I want to slash corporate taxes, So that's also an issue,

1804
01:23:10,439 --> 01:23:13,120
Speaker 1: and you know, he's taken a number of positions that

1805
01:23:13,240 --> 01:23:18,560
Speaker 1: have caused some problems for him among the young progressive

1806
01:23:18,600 --> 01:23:20,760
Speaker 1: base in the Democratic Party. So there's somewhat of an

1807
01:23:20,840 --> 01:23:25,640
Speaker 1: organized online movement for Kamala to back Tim Walls in particular,

1808
01:23:26,000 --> 01:23:29,639
Speaker 1: but the Iyer is trained towards Josh Shapiro. So of course,

1809
01:23:30,000 --> 01:23:33,720
Speaker 1: of course, because everything now has to be framed in

1810
01:23:33,760 --> 01:23:37,639
Speaker 1: this way, the real issue that is being alleged here

1811
01:23:38,080 --> 01:23:40,800
Speaker 1: is not about those policy positions or the comments he

1812
01:23:40,880 --> 01:23:44,200
Speaker 1: made comparing protesters the KKK No No, the Atlantic has

1813
01:23:44,200 --> 01:23:47,879
Speaker 1: decided the real issue is that we're all just anti

1814
01:23:48,200 --> 01:23:51,800
Speaker 1: Semites because Josh Shapiro happens to be Jewish. Let's put

1815
01:23:51,840 --> 01:23:54,599
Speaker 1: this up on the screen. We have yeaher Rosenberg, who

1816
01:23:54,600 --> 01:23:56,760
Speaker 1: wrote a piece for The Atlantic. He tweeted it out

1817
01:23:56,800 --> 01:23:58,880
Speaker 1: by saying, Josh Shapiro called Netanyahu one of the worst

1818
01:23:58,960 --> 01:24:02,120
Speaker 1: leaders of all time, but anti Israel activists have mobilized

1819
01:24:02,160 --> 01:24:05,000
Speaker 1: against him, and him alone being on the Democratic ticket.

1820
01:24:05,040 --> 01:24:07,639
Speaker 1: I wrote about the campaign against Shapiro and the perverse

1821
01:24:07,800 --> 01:24:10,920
Speaker 1: politics of Jewish identity. Can put his piece up on

1822
01:24:10,960 --> 01:24:15,200
Speaker 1: the screen from the Atlantic. He says, anti Israel partisans

1823
01:24:15,240 --> 01:24:18,360
Speaker 1: have every right to advocate against cannons to oppose their cause,

1824
01:24:18,400 --> 01:24:21,400
Speaker 1: and there's nothing inherently anti Semitic about doing so. But

1825
01:24:21,760 --> 01:24:24,559
Speaker 1: as its name implies, the Genocide Josh campaign is not

1826
01:24:24,600 --> 01:24:27,719
Speaker 1: about applying a single standard on Palestine to all VP contenders.

1827
01:24:27,720 --> 01:24:30,479
Speaker 1: It's about applying them to one person who just so

1828
01:24:30,560 --> 01:24:33,120
Speaker 1: happens to be the only Jew on the short list,

1829
01:24:33,160 --> 01:24:35,559
Speaker 1: and to make matters more absurd, to Bear's positions on

1830
01:24:35,600 --> 01:24:38,679
Speaker 1: Israel don't come close to fitting the epithet. It's become

1831
01:24:38,760 --> 01:24:41,240
Speaker 1: hard to escape the conclusion that some of the activists

1832
01:24:41,240 --> 01:24:43,799
Speaker 1: imposing this inquisition have a problem not just with Israel

1833
01:24:43,880 --> 01:24:46,880
Speaker 1: or Zionism, but with Jews, who they assume are serving

1834
01:24:46,920 --> 01:24:50,479
Speaker 1: a foreign power, no matter what they've actually said or done. Okay,

1835
01:24:50,640 --> 01:24:52,559
Speaker 1: a few things. First of all, none of the other

1836
01:24:52,560 --> 01:24:55,920
Speaker 1: canons on the short list made such provocative like no

1837
01:24:55,920 --> 01:24:57,479
Speaker 1: one else compared us to the KKK.

1838
01:24:57,680 --> 01:24:59,840
Speaker 3: Okay, so let's start there. Number two.

1839
01:25:00,640 --> 01:25:00,840
Speaker 2: JB.

1840
01:25:00,920 --> 01:25:04,559
Speaker 3: Pritzker was talked about for VP. The left likes JB. Pritzker.

1841
01:25:04,760 --> 01:25:08,080
Speaker 1: Bernie Sanders is like still the reigning icon of the Left.

1842
01:25:08,200 --> 01:25:12,519
Speaker 1: Both of these gents happen to be Jewish. So you know,

1843
01:25:12,640 --> 01:25:16,400
Speaker 1: the total dismissal of either the Israel concerns or any

1844
01:25:16,400 --> 01:25:19,920
Speaker 1: of the other policy focused concerns that the Left have

1845
01:25:20,200 --> 01:25:23,719
Speaker 1: is just part and parcel where it is becoming increasingly

1846
01:25:23,760 --> 01:25:27,760
Speaker 1: the case that someone's Jewish identity can be weaponized to

1847
01:25:27,880 --> 01:25:31,120
Speaker 1: silence any sort of criticism or descent that you may

1848
01:25:31,160 --> 01:25:34,200
Speaker 1: have on what their actual positions and policy statements have been.

1849
01:25:34,320 --> 01:25:36,519
Speaker 2: Yeah, exactly, especially when you compare the comments that he

1850
01:25:36,600 --> 01:25:38,559
Speaker 2: made and how fastiferous they are. I think we have

1851
01:25:38,640 --> 01:25:40,160
Speaker 2: those comments. Why don't we take a listen.

1852
01:25:40,479 --> 01:25:43,799
Speaker 8: They have a responsibility to keep students safe. Students shouldn't

1853
01:25:43,800 --> 01:25:47,160
Speaker 8: be blocked from going to campus just because they're Jewish

1854
01:25:47,320 --> 01:25:50,120
Speaker 8: or learning in a classroom as supposed to being forced

1855
01:25:50,360 --> 01:25:54,840
Speaker 8: online because they're Jewish. It is simply unacceptable. And you

1856
01:25:54,880 --> 01:25:56,680
Speaker 8: know what, we have to query whether or not we

1857
01:25:56,720 --> 01:25:59,840
Speaker 8: would tolerate this if this were people dressed up in

1858
01:26:00,160 --> 01:26:05,360
Speaker 8: KKK outfits or KKK regalia making comments about people who

1859
01:26:05,360 --> 01:26:08,479
Speaker 8: are African American in our communities. Certainly not condoning that

1860
01:26:08,560 --> 01:26:10,960
Speaker 8: Jake by any stretch, But I think we have to

1861
01:26:10,960 --> 01:26:13,840
Speaker 8: be careful about setting any kind of double standard here

1862
01:26:13,840 --> 01:26:15,680
Speaker 8: on our campuses. We got to call it out for

1863
01:26:15,720 --> 01:26:18,360
Speaker 8: what it is, and these university leaders have to make

1864
01:26:18,400 --> 01:26:20,320
Speaker 8: sure there is order on their campuses.

1865
01:26:20,520 --> 01:26:23,160
Speaker 2: Yeah, it is just a classic misnomer to call everything

1866
01:26:23,200 --> 01:26:25,960
Speaker 2: anti Semitism and to not focus. He didn't even mention it,

1867
01:26:26,040 --> 01:26:28,800
Speaker 2: you know, in the story. It's just all about his identity.

1868
01:26:28,880 --> 01:26:30,880
Speaker 2: This is like as good as this is, as good

1869
01:26:30,880 --> 01:26:33,600
Speaker 2: as identity politics gets. You know, it's like you're the

1870
01:26:33,640 --> 01:26:36,760
Speaker 2: one using your Jewish identity to weaponize a legitimate criticism

1871
01:26:37,040 --> 01:26:40,320
Speaker 2: of you, but you know, apparently that's not anti Semitics. Whatever.

1872
01:26:40,680 --> 01:26:42,559
Speaker 2: This whole stuff, it always drives me crazy.

1873
01:26:42,920 --> 01:26:46,000
Speaker 1: Last thing I'll say on this is that in that

1874
01:26:46,160 --> 01:26:48,600
Speaker 1: Atlantic article, he makes a point that I think is

1875
01:26:48,600 --> 01:26:50,640
Speaker 1: an interesting point where he says, basically, you know, he

1876
01:26:50,680 --> 01:26:52,720
Speaker 1: could serve as exactly the opposite of what you say

1877
01:26:52,760 --> 01:26:55,519
Speaker 1: by being Jewish, using how his identity as like a

1878
01:26:55,560 --> 01:26:58,679
Speaker 1: shield for the anti Semitism claims that are already coming

1879
01:26:58,720 --> 01:27:01,280
Speaker 1: at Kamala Harris. You know, Kamala is married to a

1880
01:27:01,320 --> 01:27:03,639
Speaker 1: Jewish Man, but Trump says that he's a crappy Jew

1881
01:27:03,720 --> 01:27:05,840
Speaker 1: I think was the comment, and that you can't believe

1882
01:27:05,840 --> 01:27:08,160
Speaker 1: any Jewish person would vote for Kamala or the Democrats, etc.

1883
01:27:08,320 --> 01:27:08,519
Speaker 2: Etc.

1884
01:27:09,080 --> 01:27:11,120
Speaker 1: That he could help blunt some of that criticism and

1885
01:27:11,240 --> 01:27:14,920
Speaker 1: create some space for a different policy visa the Israel

1886
01:27:15,080 --> 01:27:19,120
Speaker 1: that wouldn't be immediately tanked as anti Semitic. I think

1887
01:27:19,160 --> 01:27:22,680
Speaker 1: that that is actually correct, that if he wanted to

1888
01:27:22,840 --> 01:27:27,520
Speaker 1: serve in that role and capacity, that is a possibility.

1889
01:27:27,880 --> 01:27:31,200
Speaker 1: The problem is that based on the positioning and the

1890
01:27:31,280 --> 01:27:34,880
Speaker 1: rhetoric so far, there's no indication that he would want

1891
01:27:34,920 --> 01:27:38,680
Speaker 1: to serve that role. Kamala herself is very impressionable, Like,

1892
01:27:38,800 --> 01:27:40,920
Speaker 1: no one is under the impression that this person has

1893
01:27:41,040 --> 01:27:45,439
Speaker 1: any sort of her own ideological core or principles. So

1894
01:27:45,720 --> 01:27:48,400
Speaker 1: that's why if you bring in a vice president who

1895
01:27:48,479 --> 01:27:52,519
Speaker 1: has strongly held views on this issue and is more

1896
01:27:52,600 --> 01:27:55,240
Speaker 1: ideologically committed in the way that Joe Biden was very

1897
01:27:55,280 --> 01:27:59,599
Speaker 1: ideologically committed, who isn't Jewish, by the way, then that

1898
01:27:59,640 --> 01:28:02,760
Speaker 1: can have have an outsize impact on the administration versus

1899
01:28:02,840 --> 01:28:05,679
Speaker 1: if she actually had her own independent views on the issue.

1900
01:28:05,760 --> 01:28:08,720
Speaker 1: So I do think that that's a legitimate point to make,

1901
01:28:09,240 --> 01:28:11,760
Speaker 1: that his identity could end up being an asset, sort

1902
01:28:11,760 --> 01:28:13,400
Speaker 1: of like a Nixon goes to China kind of a

1903
01:28:13,479 --> 01:28:15,960
Speaker 1: deal that it creates, you know, space, or Bill flinn

1904
01:28:16,040 --> 01:28:19,160
Speaker 1: Nding welfare kind of deal where it creates the space

1905
01:28:19,520 --> 01:28:22,439
Speaker 1: to blunt those charges of anti Semitism. I just see

1906
01:28:22,680 --> 01:28:25,439
Speaker 1: no indication that he actually would want to serve in

1907
01:28:25,520 --> 01:28:28,040
Speaker 1: that role, which is why there's such a concern. And

1908
01:28:28,520 --> 01:28:30,720
Speaker 1: you know, as I mentioned before, the concerns with him

1909
01:28:30,760 --> 01:28:34,520
Speaker 1: go beyond just Gaza. Also in terms of his policy orientation,

1910
01:28:34,960 --> 01:28:39,760
Speaker 1: promising corporate tax cuts, you know, being very like Obama esque,

1911
01:28:39,760 --> 01:28:42,679
Speaker 1: in terms of his commitment to charter schools and voucher

1912
01:28:42,720 --> 01:28:44,600
Speaker 1: programs and those sorts of things which have earned the

1913
01:28:44,600 --> 01:28:47,519
Speaker 1: ire of teachers unions in the state. And then the

1914
01:28:47,600 --> 01:28:50,680
Speaker 1: other potential issue for him is these allegations about a

1915
01:28:50,720 --> 01:28:54,200
Speaker 1: sexual harassment cover up among a close aid that were

1916
01:28:54,240 --> 01:28:57,360
Speaker 1: a big deal within the state of Pennsylvania. But saga,

1917
01:28:57,400 --> 01:29:00,719
Speaker 1: I think, you know, it looks increasingly likely it's gonna

1918
01:29:00,720 --> 01:29:01,360
Speaker 1: be Josh Shapiro.

1919
01:29:01,479 --> 01:29:03,400
Speaker 2: Yeah, I would, but pretty good money on it. At

1920
01:29:03,439 --> 01:29:05,559
Speaker 2: the same time, I think the confounding variable as the

1921
01:29:05,640 --> 01:29:08,800
Speaker 2: UAW did endorse Kamala Harris just two days ago, they

1922
01:29:08,800 --> 01:29:10,880
Speaker 2: said that their two candidates are what was it to

1923
01:29:12,080 --> 01:29:14,599
Speaker 2: and Andy was sheer unlikely? So could be Tim Walts,

1924
01:29:14,600 --> 01:29:15,959
Speaker 2: you know, certainly possible.

1925
01:29:16,160 --> 01:29:18,000
Speaker 3: I mean, don't get my hopes. I don't think I

1926
01:29:18,240 --> 01:29:19,599
Speaker 3: just so prepared for for.

1927
01:29:19,560 --> 01:29:23,000
Speaker 2: Defeats a genius. It's Philadelphia, it's a swing state, is

1928
01:29:23,040 --> 01:29:25,840
Speaker 2: a very popular gov. You know, he's more popular than

1929
01:29:25,840 --> 01:29:27,400
Speaker 2: Tim Waltz even in his own home states.

1930
01:29:27,439 --> 01:29:31,200
Speaker 1: It's the most likely tipping state. Yeah, ticking point state.

1931
01:29:32,240 --> 01:29:36,880
Speaker 1: He is very popular, and her launch is her like

1932
01:29:36,960 --> 01:29:40,160
Speaker 1: launch with her VP pick is in Philadelpha.

1933
01:29:40,160 --> 01:29:41,240
Speaker 2: It's literally in Philadelphia.

1934
01:29:41,280 --> 01:29:43,640
Speaker 1: So I mean, either that's like a giant few to him,

1935
01:29:43,800 --> 01:29:48,120
Speaker 1: because can you imagine picking like clim walls and in

1936
01:29:48,240 --> 01:29:51,479
Speaker 1: Shapiro's state. But I mean, I guess crazier things have happened.

1937
01:29:51,520 --> 01:29:53,519
Speaker 1: Her aids are promised. I always had nothing to the

1938
01:29:53,560 --> 01:29:55,320
Speaker 1: schedule was already pre said. It had nothing to do

1939
01:29:55,360 --> 01:29:58,720
Speaker 1: with her pick. Maybe maybe not, we'll see. All right,

1940
01:29:58,800 --> 01:30:00,800
Speaker 1: let's go ahead and get to Matt's to talk about

1941
01:30:00,880 --> 01:30:03,640
Speaker 1: Kamala Harris and corporate power and the billionaire campaign to

1942
01:30:03,720 --> 01:30:04,920
Speaker 1: pressure out Lena Khan.

1943
01:30:05,040 --> 01:30:05,680
Speaker 3: Let's get to it.

1944
01:30:08,240 --> 01:30:11,040
Speaker 1: So joining us now is the aforementioned Matt Stoller, who

1945
01:30:11,120 --> 01:30:13,720
Speaker 1: of course works at the American Economic Liberties Project and

1946
01:30:13,840 --> 01:30:16,280
Speaker 1: authors the Big Substack newsletter.

1947
01:30:16,320 --> 01:30:19,120
Speaker 2: Great to see Zar, good Sea, many, good to see you.

1948
01:30:20,000 --> 01:30:24,400
Speaker 1: So there has been this ongoing situation of billionaires publicly

1949
01:30:24,439 --> 01:30:28,640
Speaker 1: pressuring Kamala Harris to oust Lena Khan. Of course, FDC commissioner,

1950
01:30:28,680 --> 01:30:31,519
Speaker 1: who has been instrumental in the anti trust direction of

1951
01:30:31,520 --> 01:30:34,840
Speaker 1: the Biden administration, which is your bread and butter. The

1952
01:30:34,920 --> 01:30:38,280
Speaker 1: most recent part of this saga that I'll start off

1953
01:30:38,280 --> 01:30:40,719
Speaker 1: by getting you to react to was Jake Tapper actually

1954
01:30:40,720 --> 01:30:44,000
Speaker 1: had one of those primary billionaires on Reed Hoffman, and

1955
01:30:44,120 --> 01:30:46,320
Speaker 1: to everyone's surprise, he did a good job of holding

1956
01:30:46,400 --> 01:30:49,439
Speaker 1: Hoffman's feet to the fire over these demands being made.

1957
01:30:49,680 --> 01:30:51,519
Speaker 1: Let's take a listen to how that exchange went down.

1958
01:30:51,760 --> 01:30:54,800
Speaker 13: You and other big money donors are giving money to

1959
01:30:55,400 --> 01:30:57,720
Speaker 13: Vice President Harris, suggesting also that she.

1960
01:30:57,840 --> 01:30:59,719
Speaker 2: Replaced the head of the.

1961
01:30:59,680 --> 01:31:03,600
Speaker 13: FDC, which impacts policy in the economy. What do you

1962
01:31:03,600 --> 01:31:05,679
Speaker 13: say to somebody who watches this and says this isn't

1963
01:31:05,720 --> 01:31:08,280
Speaker 13: how American politics should work. Rich people getting to buy

1964
01:31:08,920 --> 01:31:10,479
Speaker 13: levels of influence.

1965
01:31:11,600 --> 01:31:14,280
Speaker 5: Well, I totally agree with not buying levels of influence.

1966
01:31:14,320 --> 01:31:16,760
Speaker 5: I separate my role as a donor and expert. So

1967
01:31:16,840 --> 01:31:18,640
Speaker 5: if you ask me as a donor, I say, I'm

1968
01:31:18,680 --> 01:31:20,800
Speaker 5: giving money to Kamala Harris because I think she's the

1969
01:31:20,800 --> 01:31:24,320
Speaker 5: best future president for the US, for business, for a

1970
01:31:24,320 --> 01:31:25,840
Speaker 5: bunch of other things. If you ask me as an

1971
01:31:25,880 --> 01:31:28,800
Speaker 5: expert about what you know kind of Lena Kahan is

1972
01:31:28,840 --> 01:31:32,160
Speaker 5: doing and where I think she is helping or hurting

1973
01:31:32,200 --> 01:31:36,280
Speaker 5: America relative to your anti merger policies, which are you know,

1974
01:31:36,400 --> 01:31:40,799
Speaker 5: mostly to bring litigation versus you know, really solidly grounded

1975
01:31:40,840 --> 01:31:43,439
Speaker 5: and kind of what's going on, what helps American business

1976
01:31:43,720 --> 01:31:46,599
Speaker 5: thrive here and overseas. Then I give an expert opinion,

1977
01:31:46,640 --> 01:31:49,280
Speaker 5: but I think donor and expert should be kept secret separate.

1978
01:31:49,640 --> 01:31:53,680
Speaker 5: And I've never tied the two ever in any conversation anywhere.

1979
01:31:53,360 --> 01:31:57,679
Speaker 13: I've ever had, right, But I mean, that world doesn't

1980
01:31:57,680 --> 01:32:00,640
Speaker 13: really exist where people say, Okay, now I'm talking to

1981
01:32:01,040 --> 01:32:05,200
Speaker 13: Reid Hoffman, the donor, and read Hoffman, the guy with

1982
01:32:05,280 --> 01:32:08,280
Speaker 13: political ideas I'm going to put into the other room.

1983
01:32:08,400 --> 01:32:10,080
Speaker 5: You know, when I speak to these things, I speak

1984
01:32:10,080 --> 01:32:11,840
Speaker 5: more as a venture capitalist. I never speak as a

1985
01:32:11,880 --> 01:32:12,880
Speaker 5: Microsoft board member.

1986
01:32:13,120 --> 01:32:15,439
Speaker 13: But there aren't all these There aren't like one hundred

1987
01:32:15,680 --> 01:32:18,080
Speaker 13: Reid Hoffman's. It's not like one of you is a

1988
01:32:18,120 --> 01:32:21,320
Speaker 13: donor and one of you has opinions on Lena Khan,

1989
01:32:21,439 --> 01:32:23,800
Speaker 13: and one of you is on the board of Microsoft,

1990
01:32:23,840 --> 01:32:25,479
Speaker 13: and one of you is a venture capitalist.

1991
01:32:25,520 --> 01:32:26,599
Speaker 2: You're you're all the same guy.

1992
01:32:27,080 --> 01:32:32,440
Speaker 5: Of all of Biden's appointees, JD Vance is most enthusiastic

1993
01:32:32,479 --> 01:32:35,479
Speaker 5: about Lena Kahan, and maybe that has some you know,

1994
01:32:35,600 --> 01:32:40,439
Speaker 5: swing voter implications. And maybe also you know some I've

1995
01:32:40,479 --> 01:32:42,960
Speaker 5: also gotten a bunch of feedback from you know, a

1996
01:32:42,960 --> 01:32:46,200
Speaker 5: bunch of people I deeply respect within the democratic ecosystem

1997
01:32:46,280 --> 01:32:48,320
Speaker 5: saying well, you know, we're much more positive than you.

1998
01:32:48,360 --> 01:32:50,360
Speaker 5: And I'm like, look, I love what she's done on

1999
01:32:50,400 --> 01:32:54,439
Speaker 5: anti competes with employees, with employees. I dislike what she's

2000
01:32:54,479 --> 01:32:56,639
Speaker 5: been doing on and I think it's it's it's bad

2001
01:32:56,640 --> 01:32:59,960
Speaker 5: for investment on on kind of anti trust and back.

2002
01:33:00,520 --> 01:33:02,360
Speaker 1: So, Matt, before I get your reaction, if you could

2003
01:33:02,400 --> 01:33:06,559
Speaker 1: just specify which identity of Matt Stoler you're going to

2004
01:33:06,720 --> 01:33:11,840
Speaker 1: use in order to give this response, because appairly, what

2005
01:33:11,880 --> 01:33:13,479
Speaker 1: did you make of this exchange and give us a

2006
01:33:13,479 --> 01:33:15,400
Speaker 1: little bit of like the backstory of how we got

2007
01:33:15,400 --> 01:33:18,200
Speaker 1: to this place of Jake Tapper asking Reid Hoffman these questions.

2008
01:33:19,240 --> 01:33:22,560
Speaker 14: Yeah, So the Biden administration has done, you know, is

2009
01:33:22,640 --> 01:33:24,559
Speaker 14: kind of mixed in a lot of ways. They've kind

2010
01:33:24,560 --> 01:33:27,640
Speaker 14: of continued the neoliberalism of the Democratic establishment accept in

2011
01:33:27,680 --> 01:33:33,200
Speaker 14: a couple of key areas industrial policy, trade and anti trust.

2012
01:33:33,240 --> 01:33:35,960
Speaker 14: So it's sort of taken on big corporations kind of

2013
01:33:36,600 --> 01:33:39,040
Speaker 14: and the main people in that there's been a couple

2014
01:33:39,080 --> 01:33:41,360
Speaker 14: of regulators who've been the leaders in that. Lenacon at

2015
01:33:41,400 --> 01:33:44,040
Speaker 14: the Federal Trade Commission is kind of the most famous one.

2016
01:33:44,400 --> 01:33:47,559
Speaker 14: And so you have a lot of anger from Wall

2017
01:33:47,560 --> 01:33:50,800
Speaker 14: Street and from Silicon Valley oligarchs about this because they

2018
01:33:50,840 --> 01:33:54,599
Speaker 14: want to do their consolidation of corporate power. Reid Hoffman

2019
01:33:54,680 --> 01:33:57,000
Speaker 14: is a leader in this area. He was a founder

2020
01:33:57,080 --> 01:33:59,479
Speaker 14: of LinkedIn. He is actually part of a network called

2021
01:33:59,479 --> 01:34:02,240
Speaker 14: the PayPal Mafia. There's a bunch of billionaires in Silicon

2022
01:34:02,320 --> 01:34:05,200
Speaker 14: Valley that got their start at pay Palace includes Elon

2023
01:34:05,320 --> 01:34:07,360
Speaker 14: Musk and Peter Thiel, and then there are some liberal ones.

2024
01:34:08,160 --> 01:34:09,120
Speaker 7: Reed Hoffman is the.

2025
01:34:09,040 --> 01:34:13,200
Speaker 14: Democrat and he is a big donor to the Democrats'

2026
01:34:13,400 --> 01:34:18,240
Speaker 14: longtime donor. And so what they're saying they hated Biden

2027
01:34:18,280 --> 01:34:20,760
Speaker 14: because Biden was preventing them from consolidating power, which is

2028
01:34:20,760 --> 01:34:22,800
Speaker 14: what they really wanted. And so some of them moved

2029
01:34:22,800 --> 01:34:25,640
Speaker 14: to Trump, and some of them sort of participated in

2030
01:34:25,640 --> 01:34:28,080
Speaker 14: trying to push Biden out and now trying to kind

2031
01:34:28,080 --> 01:34:30,880
Speaker 14: of buy Kamala Harris. And that's what ried Hoffman is doing.

2032
01:34:30,880 --> 01:34:33,679
Speaker 14: He gave a lot of money to Kamala Harris's super

2033
01:34:33,720 --> 01:34:37,040
Speaker 14: pack and they're trying to say, look, we love you.

2034
01:34:37,120 --> 01:34:39,640
Speaker 14: We think you're great. Push Lena Kann out, get rid

2035
01:34:39,640 --> 01:34:42,880
Speaker 14: of this new trade industrial policy tariff thing and anti

2036
01:34:42,880 --> 01:34:45,320
Speaker 14: trust thing, and we can go on and return.

2037
01:34:45,080 --> 01:34:47,120
Speaker 7: To the great days of Obama and Bill Clinton. And

2038
01:34:47,200 --> 01:34:48,360
Speaker 7: that's what this is really about.

2039
01:34:48,560 --> 01:34:50,800
Speaker 2: And so how successful do you think that that's be?

2040
01:34:51,439 --> 01:34:54,559
Speaker 2: How successful does that campaign look so far? She receptive

2041
01:34:54,600 --> 01:34:56,120
Speaker 2: to it. What are the leaks been, like, I know

2042
01:34:56,120 --> 01:34:58,639
Speaker 2: you've been highlighting some Wall Street quotes. What do they think?

2043
01:34:59,760 --> 01:35:03,400
Speaker 14: Yeah, so the Wall Street murders guys and Silicon Valley

2044
01:35:03,439 --> 01:35:06,360
Speaker 14: oligarchs are super happy because they think that they.

2045
01:35:06,400 --> 01:35:08,639
Speaker 7: Own Kamala Harris and they've been giving her orders.

2046
01:35:08,880 --> 01:35:14,240
Speaker 14: Her advisors are people like Aaron Dunn, who's a Google

2047
01:35:14,760 --> 01:35:16,960
Speaker 14: lawyer at a Qualcom lawyer is actually leading the case

2048
01:35:17,000 --> 01:35:22,160
Speaker 14: against the government on Google's monopolization claims. And she's also

2049
01:35:22,200 --> 01:35:26,639
Speaker 14: helping to prep Vice President Harris for debates. And then

2050
01:35:27,560 --> 01:35:30,080
Speaker 14: Tony West is one of her close advisors, also her

2051
01:35:30,120 --> 01:35:30,679
Speaker 14: brother in law.

2052
01:35:30,680 --> 01:35:32,040
Speaker 7: He's the general counsel of Uber.

2053
01:35:32,600 --> 01:35:36,280
Speaker 14: Her niece Mina Harris worked I believe Uber and Slack

2054
01:35:36,320 --> 01:35:41,439
Speaker 14: and Facebook. There's, you know, this network of people that

2055
01:35:41,479 --> 01:35:44,360
Speaker 14: she knows and has are very close to big tech

2056
01:35:44,720 --> 01:35:45,840
Speaker 14: very close to Wall Street.

2057
01:35:46,000 --> 01:35:47,760
Speaker 7: So I think it's a pretty good chance.

2058
01:35:47,520 --> 01:35:52,400
Speaker 14: That she does get rid of the antitrust enforcers, that

2059
01:35:52,439 --> 01:35:54,400
Speaker 14: she does try to return us to a kind of

2060
01:35:54,400 --> 01:35:56,000
Speaker 14: neoliberal frame on trade.

2061
01:35:56,400 --> 01:35:57,920
Speaker 7: I mean, they think they own her.

2062
01:35:57,960 --> 01:36:00,280
Speaker 14: I don't think that's quite that start, but I think

2063
01:36:00,280 --> 01:36:03,519
Speaker 14: they have a pretty good She just kind of agrees

2064
01:36:03,520 --> 01:36:04,960
Speaker 14: with them, I think in a lot of ways. And

2065
01:36:05,000 --> 01:36:07,240
Speaker 14: so the only question is are the parts of the

2066
01:36:07,439 --> 01:36:11,240
Speaker 14: of the Democratic Coalition that are that want more populism?

2067
01:36:11,320 --> 01:36:13,240
Speaker 14: Are they going to stand up to her? They didn't

2068
01:36:13,280 --> 01:36:15,360
Speaker 14: stand up to Obama. Are they going to stand up

2069
01:36:15,400 --> 01:36:16,800
Speaker 14: to her? That's the only question.

2070
01:36:17,040 --> 01:36:18,960
Speaker 1: Yeah, And let me let me diag into that, because

2071
01:36:19,240 --> 01:36:22,519
Speaker 1: it's not like Biden had some great reputation as some

2072
01:36:22,680 --> 01:36:25,240
Speaker 1: like opponent of Wall Street and corporate America. Right, he

2073
01:36:25,320 --> 01:36:28,240
Speaker 1: was famously known as the Senator from MBNA because of

2074
01:36:28,280 --> 01:36:30,200
Speaker 1: his coziness with the credit card company. It did all

2075
01:36:30,240 --> 01:36:32,800
Speaker 1: kinds of terrible things with bankruptcy law that Elizabeth Warren

2076
01:36:32,880 --> 01:36:35,360
Speaker 1: was fighting him about, et cetera, CEA. So how does

2077
01:36:35,400 --> 01:36:39,000
Speaker 1: it end up that guy who has no track record

2078
01:36:39,200 --> 01:36:43,360
Speaker 1: of populism really to point to in terms of his

2079
01:36:43,439 --> 01:36:46,479
Speaker 1: lengthy tenure in the Senate and was part of the

2080
01:36:46,520 --> 01:36:49,479
Speaker 1: Obama Biden administration. How does that guy end up being

2081
01:36:49,560 --> 01:36:52,200
Speaker 1: the guy that brings in Jonathan Canter and Lena Khan

2082
01:36:52,320 --> 01:36:54,080
Speaker 1: and does industrial policy, etc.

2083
01:36:54,479 --> 01:36:56,080
Speaker 3: Because I think part of that is the.

2084
01:36:56,439 --> 01:36:59,479
Speaker 1: Behind the scenes pressures, if I'm not wrong, that have

2085
01:37:00,160 --> 01:37:02,040
Speaker 1: been brought to bear on the Democratic Party.

2086
01:37:03,080 --> 01:37:05,960
Speaker 7: Yeah, I mean I think that there's that's part of it.

2087
01:37:06,000 --> 01:37:08,200
Speaker 14: But I also think, you know, I did a bunch

2088
01:37:08,240 --> 01:37:13,040
Speaker 14: of interviews right before Biden took office, just talking to

2089
01:37:13,080 --> 01:37:16,559
Speaker 14: his old to his kind of his crowd. And Biden

2090
01:37:17,000 --> 01:37:20,040
Speaker 14: always saw himself as kind of a foreign policy guy,

2091
01:37:20,200 --> 01:37:22,680
Speaker 14: and he was the Senator from Delaware and he's like, look,

2092
01:37:22,720 --> 01:37:25,360
Speaker 14: I have to represent the credit card companies because those

2093
01:37:25,360 --> 01:37:28,759
Speaker 14: are my constituents. But that's the job. But he always

2094
01:37:28,800 --> 01:37:32,240
Speaker 14: had this kind of resentment towards elites in particularly like

2095
01:37:32,320 --> 01:37:35,320
Speaker 14: Ivy League elites. He hated the Silicon Valley guys. He

2096
01:37:35,360 --> 01:37:37,400
Speaker 14: always thought the Wall Street guys looked down on him.

2097
01:37:37,640 --> 01:37:41,439
Speaker 14: His people were more like the cable guys, right, and

2098
01:37:41,200 --> 01:37:44,280
Speaker 14: the people in the industrial parts of the economy that

2099
01:37:44,400 --> 01:37:48,719
Speaker 14: like make things. And there was a resentment there. Now,

2100
01:37:49,640 --> 01:37:51,320
Speaker 14: you wouldn't necessarily have seen it a lot in his

2101
01:37:51,400 --> 01:37:54,920
Speaker 14: track record. Although Steven Bryer when he was overseeing him,

2102
01:37:55,320 --> 01:37:57,320
Speaker 14: he was the head of Judiciary and Stephen Bryer was

2103
01:37:57,360 --> 01:37:59,439
Speaker 14: coming up to the Supreme Court, Biden did call him

2104
01:37:59,439 --> 01:38:03,439
Speaker 14: an elitist. So culturally Biden was kind of like set.

2105
01:38:03,520 --> 01:38:07,600
Speaker 14: He's also old and understood the world before neoliberalism, and

2106
01:38:07,640 --> 01:38:10,160
Speaker 14: so Biden was in some sense he had a mild

2107
01:38:10,160 --> 01:38:13,000
Speaker 14: streak of populism there. And then I think he saw

2108
01:38:13,240 --> 01:38:15,480
Speaker 14: what Trump had done and he said, look, the Democrats

2109
01:38:15,479 --> 01:38:16,799
Speaker 14: have to move in a different direction.

2110
01:38:17,920 --> 01:38:19,360
Speaker 7: Kamala Harris is just not like that.

2111
01:38:19,479 --> 01:38:19,559
Speaker 5: Her.

2112
01:38:20,600 --> 01:38:23,560
Speaker 14: While Biden's cultural people were kind of like this resentful,

2113
01:38:23,680 --> 01:38:25,519
Speaker 14: they had a sort of chip on their shoulder types.

2114
01:38:25,920 --> 01:38:28,920
Speaker 14: I think Kamala Harris is much more comfortable with the

2115
01:38:28,960 --> 01:38:34,400
Speaker 14: whole Obama world. Very smooth, very tech friendly, very much

2116
01:38:34,520 --> 01:38:37,320
Speaker 14: like very corporate. That does not say she might look

2117
01:38:37,360 --> 01:38:40,920
Speaker 14: at the same situations say I agree with Biden, we

2118
01:38:41,000 --> 01:38:42,479
Speaker 14: need to move in a more populars direction.

2119
01:38:42,600 --> 01:38:45,400
Speaker 7: She might say that. She's also just a lot less

2120
01:38:45,400 --> 01:38:46,519
Speaker 7: substantive than he is.

2121
01:38:46,640 --> 01:38:50,000
Speaker 14: She does not have a particularly you know, unlike Obama,

2122
01:38:50,120 --> 01:38:51,040
Speaker 14: unlike Biden.

2123
01:38:50,800 --> 01:38:53,360
Speaker 7: She just doesn't seem to care about policy for good

2124
01:38:53,479 --> 01:38:53,840
Speaker 7: or bad.

2125
01:38:53,920 --> 01:38:58,040
Speaker 14: So it's just it's a different character, and maybe she

2126
01:38:58,160 --> 01:38:59,760
Speaker 14: just was like, you know whatever, I don't want to

2127
01:38:59,760 --> 01:39:03,479
Speaker 14: pick with those with the populists. I don't know exactly

2128
01:39:03,479 --> 01:39:05,839
Speaker 14: what she does, what she's going to do, but everybody's

2129
01:39:05,880 --> 01:39:10,679
Speaker 14: surrounding her and her whole kind of you know, cultural milia.

2130
01:39:10,840 --> 01:39:13,000
Speaker 14: Her friends are going to are pushing, are going to

2131
01:39:13,000 --> 01:39:15,519
Speaker 14: push her in a really bad direction. On the other hand,

2132
01:39:15,520 --> 01:39:17,320
Speaker 14: she's not on in idiologue like Obama was a very

2133
01:39:17,360 --> 01:39:20,280
Speaker 14: strong idiolost we have to help the banks, we have

2134
01:39:20,320 --> 01:39:23,479
Speaker 14: the help Silicon Valley. That's how America great. And that's

2135
01:39:23,479 --> 01:39:26,639
Speaker 14: not what Kamala Harris thinks. So it's a little bit uncertain,

2136
01:39:26,720 --> 01:39:31,120
Speaker 14: but I'm not super optimistic about the direction that she's

2137
01:39:31,120 --> 01:39:31,679
Speaker 14: she's going.

2138
01:39:33,080 --> 01:39:33,320
Speaker 2: Matt.

2139
01:39:33,320 --> 01:39:34,920
Speaker 1: One thing that I've been thinking about, I saw someone

2140
01:39:35,040 --> 01:39:37,040
Speaker 1: positing this on Twitter. I want to run this by you,

2141
01:39:37,160 --> 01:39:39,439
Speaker 1: is that, you know, the Riet Hoffmans and other billionaires

2142
01:39:39,439 --> 01:39:41,880
Speaker 1: who are pushing this like ouse Lena Kahan thing, they

2143
01:39:41,960 --> 01:39:44,559
Speaker 1: made kind of a tactical error by making this such

2144
01:39:44,560 --> 01:39:48,559
Speaker 1: a like clear public litmus test from the jump, because

2145
01:39:48,600 --> 01:39:51,840
Speaker 1: I've seen you know, groups and senators organizing online to

2146
01:39:51,880 --> 01:39:55,080
Speaker 1: push back and say, you know, in labor unions, Elizabeth Warren,

2147
01:39:55,160 --> 01:39:57,760
Speaker 1: those types saying no, no, no, Lena Khan needs to

2148
01:39:57,800 --> 01:40:00,240
Speaker 1: say she's doing great work, et cetera. And and so

2149
01:40:00,880 --> 01:40:04,799
Speaker 1: having this done publicly, like in front of everybody's eyes,

2150
01:40:05,000 --> 01:40:07,720
Speaker 1: has been a bit of a mistake in terms of

2151
01:40:07,760 --> 01:40:10,479
Speaker 1: their actual goal, because this would be the type of

2152
01:40:10,479 --> 01:40:12,800
Speaker 1: thing that normally would be handled better in a back

2153
01:40:12,880 --> 01:40:16,040
Speaker 1: room at a donor meeting, etc. And she gets pulled

2154
01:40:16,040 --> 01:40:18,720
Speaker 1: before there's any attempt to marshal a defense of her.

2155
01:40:18,760 --> 01:40:19,840
Speaker 3: I wonder what you make of that.

2156
01:40:20,880 --> 01:40:21,639
Speaker 7: I think that's right.

2157
01:40:21,720 --> 01:40:24,519
Speaker 14: I mean, a lot of unions have come out and said, look,

2158
01:40:24,560 --> 01:40:27,000
Speaker 14: we like what Lena Conna's doing, we want to maintain

2159
01:40:27,000 --> 01:40:29,439
Speaker 14: the tariffs and so on and so forth, and so

2160
01:40:29,520 --> 01:40:31,800
Speaker 14: that makes it a lot harder for Harris to do.

2161
01:40:32,320 --> 01:40:35,040
Speaker 14: If Harris did want to change direction, it would make

2162
01:40:35,080 --> 01:40:36,680
Speaker 14: it harder because a bunch of people have said no,

2163
01:40:36,920 --> 01:40:38,400
Speaker 14: we like this, and so she'd have to pick a

2164
01:40:38,400 --> 01:40:40,080
Speaker 14: fight to do it.

2165
01:40:40,160 --> 01:40:41,920
Speaker 7: So that that is certainly true.

2166
01:40:42,040 --> 01:40:45,280
Speaker 14: But I'd say there's another part of this, which is

2167
01:40:45,800 --> 01:40:48,320
Speaker 14: when a big donor comes out and says we want

2168
01:40:48,320 --> 01:40:50,720
Speaker 14: to get rid of tariffs, and we want to know,

2169
01:40:50,880 --> 01:40:53,519
Speaker 14: we want dominant corporations to do whatever we want and

2170
01:40:53,560 --> 01:40:56,479
Speaker 14: we own this candidate. It opens up a huge political

2171
01:40:56,640 --> 01:40:59,360
Speaker 14: and Kamala Harris didn't disavow it either, Like they've asked

2172
01:40:59,400 --> 01:41:01,200
Speaker 14: her campaign and her campaign is like, well, we have

2173
01:41:01,280 --> 01:41:03,400
Speaker 14: no plans to get rid of Lena Khan at this time.

2174
01:41:03,680 --> 01:41:06,080
Speaker 3: Not right, good, But that's not a denial, right right.

2175
01:41:06,120 --> 01:41:10,400
Speaker 14: And it's like that is a huge vulnerability if Trump

2176
01:41:10,479 --> 01:41:12,640
Speaker 14: picks up on it, because Trump, I mean, he's not

2177
01:41:12,720 --> 01:41:15,400
Speaker 14: running a populist campaign, right is de banning has gone

2178
01:41:15,520 --> 01:41:17,519
Speaker 14: and you know, talked about and talked about this a

2179
01:41:17,560 --> 01:41:21,719
Speaker 14: little bit, but like she's hugely vulnerable to being turned

2180
01:41:21,720 --> 01:41:25,200
Speaker 14: into Hillary if Trump does pick up on this stuff,

2181
01:41:25,200 --> 01:41:27,479
Speaker 14: because it's like crazy to be like, yeah, you know,

2182
01:41:27,520 --> 01:41:30,720
Speaker 14: Silicon Valley billionaires are demanding that you sell out the

2183
01:41:30,760 --> 01:41:33,440
Speaker 14: country and you won't take a position on that.

2184
01:41:33,439 --> 01:41:34,400
Speaker 7: That looks really bad.

2185
01:41:34,520 --> 01:41:37,240
Speaker 14: And she's really lucky that Trump is so off kilter

2186
01:41:37,400 --> 01:41:38,800
Speaker 14: and unable to pick up on it.

2187
01:41:39,120 --> 01:41:41,679
Speaker 1: But isn't he also vulnerable to the same charge. I mean,

2188
01:41:41,840 --> 01:41:44,519
Speaker 1: Peter Thiel and Elon Musk are all in, the other

2189
01:41:44,560 --> 01:41:46,479
Speaker 1: members of the PayPal Maulvi are all in for him.

2190
01:41:46,520 --> 01:41:48,760
Speaker 1: Elon Musk very publicly, Like while he said he was

2191
01:41:48,760 --> 01:41:50,559
Speaker 1: going to give forty five million and then I was like, no,

2192
01:41:50,600 --> 01:41:52,160
Speaker 1: I'm not going to do that. But it's very clear

2193
01:41:52,200 --> 01:41:54,760
Speaker 1: Elon Musk is running Twitter for Donald Trump and the

2194
01:41:54,760 --> 01:41:57,760
Speaker 1: Republican Party sold benefit. So isn't he also open to

2195
01:41:57,800 --> 01:41:58,439
Speaker 1: those charges?

2196
01:41:59,600 --> 01:42:02,920
Speaker 7: I mean, be sure, like Donald Trump is open to

2197
01:42:02,960 --> 01:42:03,519
Speaker 7: the charge of him.

2198
01:42:04,320 --> 01:42:08,280
Speaker 14: That's great, but you know it's I just think it's

2199
01:42:08,720 --> 01:42:11,479
Speaker 14: opening up a vulnerability where she doesn't need to have one,

2200
01:42:11,560 --> 01:42:13,800
Speaker 14: and that is totally due to Read Hoffman. I mean,

2201
01:42:13,960 --> 01:42:17,120
Speaker 14: Reid Hoffman is is fostering us. You know, this is

2202
01:42:17,120 --> 01:42:19,560
Speaker 14: a real risk for the Democrats that Read Hoffman.

2203
01:42:19,240 --> 01:42:19,880
Speaker 7: Has opened up.

2204
01:42:19,920 --> 01:42:22,280
Speaker 14: Big donors are I don't think big donors. I mean

2205
01:42:22,320 --> 01:42:24,160
Speaker 14: that's what Jake Tapper said, is doesn't this look bad?

2206
01:42:24,320 --> 01:42:26,599
Speaker 14: Big donors are not. I don't think they should exist.

2207
01:42:26,720 --> 01:42:31,160
Speaker 14: But like it was a really huge I think you're right,

2208
01:42:31,240 --> 01:42:32,080
Speaker 14: it's a tactic Blair.

2209
01:42:32,000 --> 01:42:33,360
Speaker 7: It's strategic error.

2210
01:42:33,520 --> 01:42:36,200
Speaker 14: But it's also just really dangerous for him to do

2211
01:42:36,280 --> 01:42:39,320
Speaker 14: that to the Democratic Party and just make his advance.

2212
01:42:40,880 --> 01:42:43,320
Speaker 1: Yeah, I think that's all very well said Matt. Is

2213
01:42:43,320 --> 01:42:45,759
Speaker 1: always great to have your insights into these things, because

2214
01:42:45,880 --> 01:42:48,280
Speaker 1: I mean, one of the difficulties with Kamala Harris is,

2215
01:42:48,320 --> 01:42:50,040
Speaker 1: like you said, she's not an ideologue.

2216
01:42:50,040 --> 01:42:51,320
Speaker 3: She's been all over the place.

2217
01:42:52,080 --> 01:42:54,519
Speaker 1: Her rhetoric now in certain things, you know, sounds good,

2218
01:42:54,560 --> 01:42:57,720
Speaker 1: but you have no idea what she actually means at

2219
01:42:57,720 --> 01:42:59,760
Speaker 1: any given time. So trying to read those tea leaves

2220
01:42:59,760 --> 01:43:01,600
Speaker 1: is really important. So thank you for helping us to

2221
01:43:01,640 --> 01:43:01,880
Speaker 1: do that.

2222
01:43:01,960 --> 01:43:03,960
Speaker 2: Good to see you many, Good to see you guys.

2223
01:43:04,160 --> 01:43:05,760
Speaker 3: All right, Zager, what are you looking at well?

2224
01:43:05,880 --> 01:43:07,920
Speaker 2: The central idea of tried to hammer home here on

2225
01:43:07,960 --> 01:43:09,960
Speaker 2: the show over the last several years is what the

2226
01:43:10,000 --> 01:43:12,519
Speaker 2: media tells us divides us, which is race has never

2227
01:43:12,600 --> 01:43:16,120
Speaker 2: actually mattered less in modern American history. It's not class either,

2228
01:43:16,160 --> 01:43:19,080
Speaker 2: although I wish it was. It's almost all education, whether

2229
01:43:19,120 --> 01:43:21,360
Speaker 2: you have a four year college degree or not. I've

2230
01:43:21,360 --> 01:43:23,960
Speaker 2: done many monologues now on the subject about what that means,

2231
01:43:23,960 --> 01:43:25,880
Speaker 2: but since it's a political show, I'll focus on how

2232
01:43:25,920 --> 01:43:29,599
Speaker 2: it manifests with parties. Basically, the best predictor today, especially

2233
01:43:29,600 --> 01:43:31,720
Speaker 2: if you're under fifty, of whether you're a Democrat or not,

2234
01:43:31,840 --> 01:43:33,840
Speaker 2: is whether you have a four year college degree. The

2235
01:43:33,920 --> 01:43:36,400
Speaker 2: higher up that you go on degrees like masters in PhD,

2236
01:43:36,680 --> 01:43:38,439
Speaker 2: the more you likely you are to be liberal and

2237
01:43:38,520 --> 01:43:41,680
Speaker 2: a Democrat. The same is true actually down the educational spectrum,

2238
01:43:41,720 --> 01:43:45,040
Speaker 2: from PhD to GED to those who don't finish college. Now,

2239
01:43:45,120 --> 01:43:47,600
Speaker 2: what's been interesting in the last few years is not

2240
01:43:47,680 --> 01:43:50,519
Speaker 2: pointing out that trend, since it's very obvious now, but

2241
01:43:50,600 --> 01:43:52,720
Speaker 2: instead to see how it has put pressure on the

2242
01:43:52,840 --> 01:43:56,559
Speaker 2: other major divide in US politics. Gender. Gender has always

2243
01:43:56,600 --> 01:43:59,160
Speaker 2: divided Americans. It's mostly true over the years that if

2244
01:43:59,240 --> 01:44:02,559
Speaker 2: only women voted, than Democrats would win. If only men voted,

2245
01:44:02,560 --> 01:44:05,400
Speaker 2: then Republicans would win. This slightly changes if you incorporate

2246
01:44:05,439 --> 01:44:08,120
Speaker 2: marital status and a few other factors, but something recently

2247
01:44:08,160 --> 01:44:10,280
Speaker 2: has changed a lot. It used to be that you

2248
01:44:10,320 --> 01:44:14,679
Speaker 2: could pretty reliably rely on least young men to espouse

2249
01:44:14,720 --> 01:44:18,000
Speaker 2: more liberal views than their older counterpoints and more aligned

2250
01:44:18,000 --> 01:44:21,519
Speaker 2: with gender. Now, something basically true throughout modern history. The

2251
01:44:21,640 --> 01:44:25,000
Speaker 2: recent educational divide, though, and especially the population of media

2252
01:44:25,080 --> 01:44:28,320
Speaker 2: with college educated viewpoints, has now flipped that on a dime.

2253
01:44:28,400 --> 01:44:31,280
Speaker 2: Seemingly overnight. Young men, it seems, for the very first

2254
01:44:31,280 --> 01:44:34,640
Speaker 2: time ever in modern American history, are actually becoming increasingly

2255
01:44:34,840 --> 01:44:37,960
Speaker 2: right wing. A New Wall Street Journal analysis of multiple

2256
01:44:37,960 --> 01:44:40,639
Speaker 2: different data sets finds that young men between the ages

2257
01:44:40,640 --> 01:44:44,479
Speaker 2: of eighteen to twenty nine are becoming astonishingly Republican, and

2258
01:44:44,560 --> 01:44:49,160
Speaker 2: perhaps even more importantly, are diverging significantly from young women

2259
01:44:49,240 --> 01:44:52,720
Speaker 2: and their peer group. For example, when Biden was still

2260
01:44:52,720 --> 01:44:54,960
Speaker 2: in the race, the Journal found of young men under

2261
01:44:55,000 --> 01:44:57,760
Speaker 2: thirty back Donald Trump by a majority, with a full

2262
01:44:57,880 --> 01:45:00,479
Speaker 2: fourteen point spread in the latest Wall Street r A poll.

2263
01:45:00,680 --> 01:45:03,639
Speaker 2: That swing is especially astonishing because just four years ago,

2264
01:45:03,680 --> 01:45:07,000
Speaker 2: in twenty twenty, Biden won young men by some fifteen points,

2265
01:45:07,120 --> 01:45:10,160
Speaker 2: so it constitutes a net thirty percent swing. When you

2266
01:45:10,200 --> 01:45:12,200
Speaker 2: dig down into the issue sets, it actually starts to

2267
01:45:12,200 --> 01:45:16,000
Speaker 2: get very crazy. Take quote favoring or opposing major action

2268
01:45:16,080 --> 01:45:18,920
Speaker 2: on climate change. For women, it's a plus sixty seven

2269
01:45:18,960 --> 01:45:21,880
Speaker 2: percent issue. For men, it's just plus thirty two for

2270
01:45:22,000 --> 01:45:25,160
Speaker 2: legal abortion. With women, it is plus fifty three for men,

2271
01:45:25,360 --> 01:45:28,800
Speaker 2: just plus sixteen. For student loans, it's plus forty five

2272
01:45:28,880 --> 01:45:32,280
Speaker 2: for women. For men plus two allowing kids to pick

2273
01:45:32,320 --> 01:45:35,400
Speaker 2: their gender identity women plus two. For men, it is

2274
01:45:35,400 --> 01:45:39,160
Speaker 2: a whopping minus thirty three for supporting task cuts. With men,

2275
01:45:39,200 --> 01:45:41,799
Speaker 2: it's a plus twenty three. With women. It's a minus

2276
01:45:41,840 --> 01:45:44,840
Speaker 2: twenty for building a border wall with Mexico, minus four

2277
01:45:44,880 --> 01:45:48,559
Speaker 2: for men, minus forty seven for women. So, in other words,

2278
01:45:48,760 --> 01:45:52,519
Speaker 2: for some pretty major issues in US politics, the spread

2279
01:45:52,600 --> 01:45:55,080
Speaker 2: in importance and depth of feeling for young men and

2280
01:45:55,120 --> 01:45:59,000
Speaker 2: women is significant. That's spread itself, and what parties are

2281
01:45:59,080 --> 01:46:02,519
Speaker 2: running on, namely immigration and abortion, explains why both would

2282
01:46:02,520 --> 01:46:05,559
Speaker 2: then trend majorly in both directions. So what does this

2283
01:46:05,640 --> 01:46:08,120
Speaker 2: relate to education? While I would point out to you

2284
01:46:08,160 --> 01:46:11,240
Speaker 2: that the student loan question, the reason there's a forty

2285
01:46:11,280 --> 01:46:13,920
Speaker 2: percent net difference between young men and women on student

2286
01:46:13,960 --> 01:46:16,719
Speaker 2: loans is it's mostly young women who are going to college.

2287
01:46:16,840 --> 01:46:19,280
Speaker 2: As I have covered here now for several years, many

2288
01:46:19,320 --> 01:46:22,439
Speaker 2: young men, at higher rates than ever before, are dropping out.

2289
01:46:22,720 --> 01:46:25,680
Speaker 2: Many elite colleges are now running a two to one

2290
01:46:25,840 --> 01:46:28,599
Speaker 2: ratio of women to men, with the trend only going

2291
01:46:28,640 --> 01:46:32,200
Speaker 2: in an even further polarized direction. As I've covered here

2292
01:46:32,240 --> 01:46:34,360
Speaker 2: a lot, whether you go to college or not, really

2293
01:46:34,479 --> 01:46:38,479
Speaker 2: just colors basically everything about you, what music you like,

2294
01:46:38,560 --> 01:46:40,960
Speaker 2: if you like to travel, what TV shows, what movies.

2295
01:46:41,200 --> 01:46:43,120
Speaker 2: But really, what I think the difference is is that

2296
01:46:43,160 --> 01:46:45,720
Speaker 2: young people also get almost all of their news online

2297
01:46:45,760 --> 01:46:49,879
Speaker 2: and all their entertainment, namely through social media, YouTube, Instagram, TikTok,

2298
01:46:50,080 --> 01:46:53,840
Speaker 2: and the main force at play. There is also algorithmic amplification.

2299
01:46:54,240 --> 01:46:56,680
Speaker 2: This explains why there has been a big surge in

2300
01:46:56,800 --> 01:46:59,840
Speaker 2: young female enthusiasm for Kamala Harris. You've got the so

2301
01:47:00,080 --> 01:47:02,879
Speaker 2: called coconut pill and the memes of Kamala as Bratt.

2302
01:47:02,960 --> 01:47:08,000
Speaker 2: They've been overwhelmingly politically inclined young women on TikTok and elsewhere. Simultaneously,

2303
01:47:08,000 --> 01:47:10,559
Speaker 2: if you're a young dude you watch fitness content or

2304
01:47:10,600 --> 01:47:13,519
Speaker 2: the UFC, what are you seeing pop up things like

2305
01:47:13,640 --> 01:47:17,000
Speaker 2: Jake Paul's Trump endorsement or Logan Paul's Trump interview. Trump

2306
01:47:17,040 --> 01:47:20,160
Speaker 2: literally walking out to a massive fanfare at the UFC

2307
01:47:20,439 --> 01:47:23,639
Speaker 2: and fighters who are constantly talking him up. Both are

2308
01:47:23,720 --> 01:47:26,800
Speaker 2: cultural institutions of men and women who are very young

2309
01:47:27,000 --> 01:47:30,320
Speaker 2: and are polarizing significantly. They consume very different media, they

2310
01:47:30,360 --> 01:47:32,840
Speaker 2: care dramatically about different issues, and in the future it

2311
01:47:32,840 --> 01:47:35,200
Speaker 2: could set us up for some very interesting politics, one

2312
01:47:35,240 --> 01:47:37,439
Speaker 2: where men and women of the very same race and

2313
01:47:37,520 --> 01:47:41,160
Speaker 2: probably even the very same class, begin to diverge their votes.

2314
01:47:41,360 --> 01:47:43,040
Speaker 2: I've spoken at length Heer about how I think the

2315
01:47:43,080 --> 01:47:45,960
Speaker 2: social consequences of this will likely be bad, But at

2316
01:47:45,960 --> 01:47:47,760
Speaker 2: this point all we can really say is that the

2317
01:47:47,760 --> 01:47:50,120
Speaker 2: ball is now clearly in motion and the future it

2318
01:47:50,160 --> 01:47:52,920
Speaker 2: will be, I guess interesting if this trend continues. So

2319
01:47:53,000 --> 01:47:55,000
Speaker 2: I was fascinated by this, Crystal. I actually thought that.

2320
01:47:55,080 --> 01:47:57,880
Speaker 1: And if you want to hear my reaction to Sager's monologue,

2321
01:47:57,920 --> 01:48:01,320
Speaker 1: become a premium subscriber today at break kingpoints dot com.

2322
01:48:01,360 --> 01:48:03,960
Speaker 2: All Right, thank you everybody for watching. We really appreciate you,

2323
01:48:04,000 --> 01:48:05,160
Speaker 2: and we will see you all later