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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 3: Coverage that is possible.

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

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Speaker 2: the absolute world to have your support.

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Speaker 4: But enough with that, let's get to the show.

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Speaker 1: Let's go and move on to the democratic side of

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Speaker 1: the Ledger here and some interesting post mortem that's been

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Speaker 1: happening over on MSNBC. So, to my absolute shock, there

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Speaker 1: are actually a few mainstream figures who have now come

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Speaker 1: out after the fact, after they spent years crushing Bernie Sanders,

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Speaker 1: demonizing him, his movement, anyone associated with it, like burning

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Speaker 1: it to the ground, salting the ground, etc. After all

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Speaker 1: of that, now suddenly you know that guy Bernie.

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Speaker 5: Sanders, maybe he had a point.

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Speaker 1: So here's James Carville on MSBC with ari melburalisticalism.

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Speaker 6: So you, as mister, it's the economy, stupid?

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Speaker 3: Was this an economy election?

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Speaker 6: And if so, is Sanders right that on populous working

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Speaker 6: class kitchen table issues?

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Speaker 3: That dev didn't do enough.

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Speaker 7: Well, what he is not right about the Democrats have

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Speaker 7: done a number of things for working people. I mean

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Speaker 7: Obamacay expanded healthcare for twenty three million more people than

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Speaker 7: had it before. A lot of things in President Bids

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Speaker 7: built Back Better program, created millions of jobs working people.

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Speaker 7: But I think since Senators has some point here, and

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Speaker 7: that is there were things we could have run on

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Speaker 7: harder that have effected the minimum wage. It passes everywhere

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Speaker 7: by seventy percent. I mean, I know that President Biden

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Speaker 7: was far height and Harris as far, but we didn't

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Speaker 7: put it front and center. What about tax and the

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Speaker 7: incomes over four hundred thousand dollars and taking that money

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Speaker 7: and put it in the first time home buyers Mortgage

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Speaker 7: Relief Fund. I mean, there were things that Senator Sanders

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Speaker 7: would favor that we could have put more front and center.

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Speaker 7: Now you know that there are a lot of things

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Speaker 7: that are just popular that Democrats areport it. They're popular

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Speaker 7: with every kind of Democrat in the country. They also

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Speaker 7: happened to be popular with independence and even some Republicans.

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Speaker 7: And we should run on a popular thing. A popular

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Speaker 7: thing was not continuing to buy the administration that was

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Speaker 7: clearly not what people wanted. I think he's a great guy,

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Speaker 7: but people did want more of that, and that's what

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Speaker 7: we gave them.

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Speaker 1: Incredible, incredible, and you know, I mean I like, in

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Speaker 1: a sense, I guess I should be like, well, better

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Speaker 1: late than ever. You know, David Brooks, thanks for coming around,

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Speaker 1: like James Carvell. But it's also like, you know, you

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Speaker 1: had twenty sixteen was the time to truly offer like

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Speaker 1: a post neoliberal vision, and all the energy was that,

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Speaker 1: you know, from occupying it builds into Bernie Sanders and

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Speaker 1: you have the left alternative to the Trumpian populist direction.

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Speaker 1: And they just people like him were when above and beyond.

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Speaker 1: I mean they fought Bernie Standers far harder than they

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Speaker 1: ever fought Donald Trump.

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Speaker 5: And so at this point.

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Speaker 1: It's like, you know, I hope it's not too late,

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Speaker 1: but I kind of think it is. And there is

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Speaker 1: no Bernie Sanders. He's eighty three years old. Like for

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Speaker 1: him personally, he's still with us. Actually saw him speak

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Speaker 1: last night, and man, he is still sharp as attack,

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Speaker 1: hasn't lost a step intellectually whatsoever.

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Speaker 5: But he's eighty three years old. Like there has to.

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Speaker 1: Be a successor to him, there's no one that's obvious

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Speaker 1: that has the same type of of just you know,

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Speaker 1: credibility and appeal that he truly did to independance and

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Speaker 1: some Republicans. And even as James Carvel says the thing

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Speaker 1: about like, yeah, there's things that he said that are popular.

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Speaker 5: I think they still don't get that.

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Speaker 1: It's not just about like, Okay, these policies are popular

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Speaker 1: and like let's check.

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Speaker 5: Off the list. Because frankly, commiers did do some of

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Speaker 5: that right.

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Speaker 1: She did have a good economic program that she ran

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Speaker 1: a lot of ads about with you know, anti price

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Speaker 1: gouging and child tax credit and these other things. It

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Speaker 1: has to be, though, part of a story with villains,

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Speaker 1: and that's the part that the Carvills and the David

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Speaker 1: Brooks and whoever of the world are uncomfortable with because

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Speaker 1: they rely on that the people that would be the

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Speaker 1: villains are like the billionaires, the millionaires, the donor class,

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Speaker 1: the corrupt elite, the rigged media, And when you get

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Speaker 1: to that part, they're like, whoa, whoa, whoa, whoa, whoa.

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Speaker 1: We just want to talk about minimum wage and talk

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Speaker 1: about generally about maybe income inequality, but we don't want

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Speaker 1: to name names about who are the villains here and

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Speaker 1: what systems are the villains here because that implicates them directly,

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Speaker 1: and that's where that's where the real rub comes in.

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Speaker 8: I can't imagine what it's like for you to watch

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Speaker 8: that on MSNBC now.

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Speaker 3: I mean, it's.

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Speaker 8: Sincerely like and it has to be what it was

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Speaker 8: like for Pat Buchanan to watch Fox New to suddenly

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Speaker 8: start talking differently about trade and foreign policy after Donald

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Speaker 8: Trump came along, right like you were having like serious conversations,

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Speaker 8: like Sean Hannity is having serious conversations about whether he's

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Speaker 8: like a free trade guy, a fair trade guy, and

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Speaker 8: like actually platforming some of this stuff that Pat Buchanan

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Speaker 8: was called, you know, it's a semitic and awful and

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Speaker 8: an extremist for talking about. And then ten years later,

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Speaker 8: you know, you're having mainstream conversations about some of these

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Speaker 8: ideas and Fox things because of Donald Trump.

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Speaker 3: But like, this is not impressive at all.

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Speaker 8: It's just that people are getting, you know, plaudits right

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Speaker 8: now for being willing to say what James Carvill just said.

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Speaker 8: But I can't imagine finding that impressive, Like it would

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Speaker 8: have maybe been impressive or brave ten years ago.

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Speaker 3: But it's way way too late.

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Speaker 8: I mean, they already have a second Trump administration. The

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Speaker 8: fascist quote unquote has been re elected.

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Speaker 3: Like that's two terms. So well done, guys.

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Speaker 8: This is already an abject failure by your own standards.

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Speaker 1: Yeah, no, it doesn't feel good to be Like I

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Speaker 1: told you so, it does not feel good to be

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Speaker 1: in that position, because again I'm just sort of like,

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Speaker 1: I also know that even as in their despair at

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Speaker 1: the moment, they may accidentally admit that Bernie had a point.

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Speaker 1: And you know, one thing I've been pointing out is

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Speaker 1: if you look at the groups that Bernie was strongest with,

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Speaker 1: those are the groups Latinos, working class people, bros.

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Speaker 5: You know, Joe Rogan literally himself.

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Speaker 1: Those are the groups that are find the Democratic Party

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Speaker 1: increasingly repellent and have been fleeing them. And so it's just,

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Speaker 1: you know, it's unequivocally the case that those are the

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Speaker 1: groups that Bernie Sanders had the greatest traction. And by

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Speaker 1: the way that coalition was demonized, it was demonized by them,

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Speaker 1: and Bernie himself was demonized as being racist and sexist.

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Speaker 1: And you know, for the left getting all the blame

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Speaker 1: for identity politics. They're the ones that invented identity politics

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Speaker 1: effectively under the Hillary Clinton campaign toothmear Bernie Sanders and

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Speaker 1: by extension, his entire movement. And you know, we're going

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Speaker 1: to talk to young Democrat about the you know, the

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Speaker 1: conversation around young men, but part of that conversation has

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Speaker 1: to be the way that the young male supporters of

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Speaker 1: Bernie Sanders were treated and smeared as you know, toxic

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Speaker 1: sexist bros who were only there because they were, like,

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Speaker 1: you know, interested in opposing the first historic female president.

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Speaker 1: And so yeah, when that's the message that has been

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Speaker 1: routinely coming out of the Democratic Party now eight years straight,

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Speaker 1: that's going to have an impact too. I'm not saying

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Speaker 1: that's everything that's going on, but I also don't think

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Speaker 1: it's something that you should just completely ignore when you're

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Speaker 1: looking at the number of people who did travel along

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Speaker 1: that Bernie to Trump pipeline ultimately.

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Speaker 8: And I think it is such a good point, just lastly,

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Speaker 8: about diagnosing the problem but not being willing to like go.

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Speaker 3: Fully with the right treatment.

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Speaker 8: If you're using that metaphor and that like finally they're seeing.

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Speaker 3: What has been obvious.

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Speaker 8: I mean, it's not again, it's not impressive for them

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Speaker 8: to come around to this in twenty twenty four, right,

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Speaker 8: but at least being willing to admit it and have

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Speaker 8: that conversation.

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Speaker 3: All right, that's one thing.

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Speaker 8: But if you're not willing to admit that your friends

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Speaker 8: are the villains in the story, then you can't treat

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Speaker 8: the problem because that would require actually undermining their power,

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Speaker 8: their influence, their bank accounts like that would require taking

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Speaker 8: really tough pills.

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Speaker 3: Yeah, and they're not willing to do that.

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Speaker 1: Easy to say Bernie is right Now that Bernie Sanders

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Speaker 1: is eighty three years old and is.

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Speaker 3: Completely he won't run again.

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Speaker 1: Irrelevant to any sort of future conversation about power.

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Speaker 5: This was interesting to me.

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Speaker 1: Let's put C two up on the screen, and I

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Speaker 1: think indicative of probably the way that Democrats are actually.

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Speaker 5: Going to react to this loss. So among Kamala.

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Speaker 1: Harris voters, they asked this question, this was Yukov, who

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Speaker 1: do you think is more to blame for the outcome

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Speaker 1: of the twenty twenty four elections? So twenty four percent

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Speaker 1: say Joe Biden makes sense, six percent only say Kamala Harris,

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Speaker 1: and I actually think it is fair to blame Joe

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Speaker 1: Biden more than Kamala Harris, although obviously both shoulder some

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Speaker 1: blame for the decisions that were made here. But the

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Speaker 1: majority say it's just a bad year for Democrats, meaning like,

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Speaker 1: you know, they'll get them next time, no need for

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Speaker 1: any major changes or adjustments. And if you hear people

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Speaker 1: like Jim Clyburn out there being like everybody just chill out,

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Speaker 1: it's like, by your own lexicon, the country just elected

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Speaker 1: a fascist, yep, and you're like, let's just chill out,

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Speaker 1: no big deal them next time. So but I think

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Speaker 1: if this is the way the base feels, and you know,

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Speaker 1: as being sort of primed to feel by people who

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Speaker 1: say also like oh look and come and stay bad

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Speaker 1: all around the globe and look at inflation. Actually we

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Speaker 1: did better than most parties in power around the country,

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Speaker 1: And I say, a unique set of circumstances and Donald

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Speaker 1: Trump's gonna be done after this, blah blah blah. We

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Speaker 1: actually came really close in the background states. There's a

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Speaker 1: million reasons they can come up with for looking at

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Speaker 1: this and saying like we don't really need to adjust,

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Speaker 1: we can keep doing our things and we'll get them

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Speaker 1: next time. And I think that's probably going to be

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Speaker 1: the primary reaction. You'll have the you know, the signaling

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Speaker 1: from Seth Moultens of the world of like, oh, we're

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Speaker 1: going to you know, whatever issue was pulling the most poorly,

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Speaker 1: like let's just throw that issue under the bus. And

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Speaker 1: you know, especially ones that don't harm the donor class whatsoever,

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Speaker 1: Like being more oppositional to trans people is not going

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Speaker 1: to hurt any donor or base.

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Speaker 5: So that's easy to do. Let's just do that.

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Speaker 1: In terms of any sort of like dramatic reader, we

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Speaker 1: already know because they're re electing the exact same house

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Speaker 1: leadership they've had. There's no conversation about any sort of

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Speaker 1: like massive purge, and so yeah, I think they're just

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Speaker 1: going to keep heading in this direction and this direction.

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Speaker 1: If the trends and the realignments continue, like they're screwed,

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Speaker 1: because yeah, right now you might be kind of in

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Speaker 1: the ballgame, but only a third of the country roughly

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Speaker 1: of adults, has a college degree. So if you're effectively

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Speaker 1: like only winning college degree holders, you are not a

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Speaker 1: contender to be a majority coalition anymore. Like that, if

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Speaker 1: that trend continues, you're going to be a permanent minority

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Speaker 1: with basically no power outside of certain blue areas.

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Speaker 8: I mean, it's for a lot of people on the

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Speaker 8: right seeing the numbers among young people of shifts, not

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Speaker 8: just in terms of who they voted for by exit polls,

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Speaker 8: but public opinion polling on different issues young men.

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Speaker 3: I know we're talking about.

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Speaker 8: This later, but the point I'm trying to make here

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Speaker 8: is that, like, that's shocking to people on the right.

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Speaker 8: If you had told people on the right ten years

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Speaker 8: ago that young people would have shifted that dramatically on

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Speaker 8: different issues, especially young men, it would have been unthinkable.

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Speaker 8: That was literally like a fantasy that anyone would have

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Speaker 8: ever been able to make those shifts in such quick time.

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Speaker 8: And now gen z is seeing a boom in trade

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Speaker 8: skills people not going through full college education.

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Speaker 5: So yeah, I think college's enrollment has peaked.

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Speaker 3: I agree.

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Speaker 1: So, like, if your projection is like, ah, but more

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Speaker 1: and more people keep getting college degrees, I think that's

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Speaker 1: a faulty assumption.

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Speaker 8: Yeah, I agree with that, and I think we're seeing

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Speaker 8: pretty clear signs that's the case. So you know, this

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Speaker 8: is a Republicans I think are poised potentially I agree

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Speaker 8: with as a client that they're poised to overinterpret their

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Speaker 8: quote unquote mandate and overreach because Kamala Harris is like

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Speaker 8: a terrible candidate and still managed to win nearly half

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Speaker 8: of the country's vote. I mean, this is probably going

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Speaker 8: to be a popular vote that's like a two point difference,

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Speaker 8: So I.

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Speaker 3: Think it's very possible.

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Speaker 8: And even in some of these battleground states that Donald

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Speaker 8: Trump ended up sweeping, it was a really thin margin.

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Speaker 8: So I think it's possible that Republicans overreach and they

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Speaker 8: do over interpret this quote unquote mandate. But even so,

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Speaker 8: the long term trends for Democrats there are some really

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Speaker 8: worrying signs, just like there are for Republicans. The countries

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Speaker 8: not with them on abortion, countries not with them on

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Speaker 8: tax cuts for the wealthy, is not with the donor

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Speaker 8: class of the GOP on so the social safety net.

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Speaker 8: There's some serious foreign policy differences between that donor class

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Speaker 8: and the average voter as well. So there are real

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Speaker 8: problems for Republicans down the line. But for Democrats, I mean,

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Speaker 8: the long term trends with younger voters that was never

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Speaker 8: a worry and now it is.

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Speaker 1: Yeah, absolutely, I do think some of what was seen

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Speaker 1: this time is not only a shift to the right.

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Speaker 1: I think that's real. But there was also fewer young

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Speaker 1: people who turned out. You know, there was a depression

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Speaker 1: of the sort of like democratic young base, and you know,

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Speaker 1: Gaza has to be part of that, has to.

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Speaker 5: Be part of that. I don't want to overstate it.

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Speaker 1: I think, you know, it would be easy for me,

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Speaker 1: given my ideology, to say like, this is the reason

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Speaker 1: they lost. I think it is part of the reason

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Speaker 1: they lost. Oh, you know, because how can you really

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Speaker 1: feel like, oh, I'm standing for the good and the

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Speaker 1: righteous when you see in your social media feed every day.

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Speaker 1: I mean, I've seen things, horrors that I never imagine

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Speaker 1: and will never be able to get out of my head.

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Speaker 5: And I know I'm not alone.

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Speaker 1: So yeah, that'll depress your base. Feel like, I don't

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Speaker 1: want to be complicit in a genocide. I don't want

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Speaker 1: to be anywhere near this, and so maybe I don't

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Speaker 1: want to vote for Donald Trump.

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Speaker 5: But just I can't build the lover for this.

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Speaker 8: I mean, it's not surprising, but I feel like the

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Speaker 8: lack of conversation about how much that actually affected the

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Speaker 8: youth vote, young turnout and potentially in people voting for

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Speaker 8: Trump is like an anti establishment Whether or not people.

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Speaker 3: Agree with it.

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Speaker 8: I mean, I know you and Sager talked about the

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Speaker 8: aoc Q and A that she's been doing on her

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Speaker 8: Instagram right listen in DC, like, people don't have to

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Speaker 8: agree with it, and idelergs don't have to agree with it.

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Speaker 8: But there are a lot of normal voters who see

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Speaker 8: that issue totally differently, just trying to give a finger

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Speaker 8: to the elites, no matter.

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Speaker 3: How they do it.

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Speaker 8: And for some of them, I think the war and

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Speaker 8: gozz is really a part of that, and it's affecting

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Speaker 8: voting patterns, and there's just been a total glossing over

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Speaker 8: of how that probably shifted the election of Donald Trump's

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Speaker 8: favor too.

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Speaker 5: Yeah, it is possible. It is possible, given.

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Speaker 1: How narrow Lake, Michigan was in particular, that that could

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Speaker 1: have actually been decisive there.

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Speaker 5: It's possible.

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Speaker 1: Like I'm not saying one way or another, but I'd

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Speaker 1: find that theory to be plausible.

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Speaker 8: College towns in Wisconsin and Georgia and North Carolina.

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Speaker 3: Absolutely.

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Speaker 1: All right, let's go ahead and move to a short story.

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Speaker 1: We can certainly find some common ground on here Emily,

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Speaker 1: which is bashing the New York Times. So Soger and

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Speaker 1: I covered. I don't know if you guys talked about

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Speaker 1: the story or not about the whole Hoogan situation in Amsterdam.

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Speaker 1: So this was portrayed quite hyperbolically by Joe Biden, Barry

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Speaker 1: Richie Tora as all these sorts of people and the

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Speaker 1: news media as a jew hunt pogram against these Israeli

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Speaker 1: soccer fans. There was indeed quite a bit of violence. However,

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Speaker 1: the portrayal of them as just these innocent victims minding

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Speaker 1: their own busines, going to attend a soccer game and

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Speaker 1: being targeted solely for their religion was wildly misleading. In fact,

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Speaker 1: there were quite a number of journalists on the ground there,

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Speaker 1: include very young We played some of his Stuf who

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Speaker 1: was like fourteen years old, who was out recording before

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Speaker 1: there was any sort of retaliatory violence. You know, them

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Speaker 1: going through the streets saying, you know, death to Arabs

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Speaker 1: and bragging about the number of children who were massacreding gaza, vandalizing,

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Speaker 1: assaulting cab driver, you know, vandalizing a taxi cab, burning

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Speaker 1: Palestinian flags, etcetera, etcetera, etcetera. And so this descends into

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Speaker 1: total melee with violence and a number of Israelis who

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Speaker 1: were you know, who were beaten in brutal way. So

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Speaker 1: news media portrayed this, of course, like I said, as

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Speaker 1: completely one sided, just you know, born out of anti

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Speaker 1: Semitism period, end of story. So this was an interesting

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Speaker 1: coda to the whole portrayal of this, so we could

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Speaker 1: put this up on the screen. The New York Times

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Speaker 1: had published a video that they said purported to show

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Speaker 1: Israeli's being chased.

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Speaker 5: Down and beaten.

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Speaker 1: Okay, it turns out it was the exact opposite thing

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Speaker 1: that happened here. So let me read to you the

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Speaker 1: correction that the Times themselves posted about this video. They

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Speaker 1: said an earlier version of this article included a video

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Speaker 1: distributed by Reuters with a script about Israeli fans being attacked.

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Speaker 1: Radar Systems issued a correction saying it is unclear who's

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Speaker 1: depicted in the footage. The videos author told The New

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Speaker 1: York Times it shows a group of Maccabee fans chasing

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Speaker 1: a man on the street, a description of The Times

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Speaker 1: independently confirmed with other verified footage from the scene. The

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Speaker 1: video has been removed, so keeps us up on the

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Speaker 1: screen for a moment. So it turns out they put

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Speaker 1: this video out. They thought that it showed Israeli fans

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Speaker 1: being assaulted. Turns out it shows Israeli fans doing the assaulting,

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Speaker 1: and rather than allowing that to inform their reporting and

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Speaker 1: keeping the video up because now they've confirmed okay, actually

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Speaker 1: it shows the opposite of what we were reporting. That

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Speaker 1: changes the picture that we and others have been portraying

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Speaker 1: about what's going on. Instead of doing that, since it

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Speaker 1: now doesn't fit the narrative that they've been peddling, they

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Speaker 1: just take it down. And I think that that is

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Speaker 1: an incredibly revealing little decision that was made here that

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Speaker 1: shows you that they had one way they wanted this

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Speaker 1: story to be portrayed, and when the things that they

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Speaker 1: themselves published did not match up with that story, rather

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Speaker 1: than grappling with that as a news organization filled with

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Speaker 1: serious journalists, they just took it down and hit it

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Speaker 1: all together.

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Speaker 8: The New York Times Israel coverage is such a fascinating

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Speaker 8: glimpse into how elites are wrestling with Israel, and that

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Speaker 8: Ryan makes this point too, about how after twenty fourteen,

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Speaker 8: in particular, there was a movement to get Palestinian journalists

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Speaker 8: into mainstream media organizations and there was a movement to

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Speaker 8: get better coverage obviously of Israel and Gaza into mainstream

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Speaker 8: media coverage.

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Speaker 3: And so the institutions themselves have this.

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Speaker 8: Kind of internal battle between their own staff that is

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Speaker 8: very much not of the old school foreign policy establishment

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Speaker 8: when it comes to Israel, and then members of the

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Speaker 8: staff that are very much like demand of demand.

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Speaker 3: That the sort of old school position on Israel is

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Speaker 3: the norm is the yeah, exactly is maintained.

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Speaker 8: And so for example, I'm looking at a New York

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Speaker 8: Times article from it was Monday or Tuesday of this week,

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Speaker 8: where they write tensions had risen a day earlier when

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Speaker 8: Israeli fans vandalized a taxi, burned a Palestinian flag in

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Speaker 8: the city, and enchanted incendiary and racist slogans, according to

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Speaker 8: the police. Now I know people who would object to

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Speaker 8: that even being in a story about what happened, when

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Speaker 8: actually I think that context would have been helpful right

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Speaker 8: up front from yeah, obviously, because there was this immediate

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Speaker 8: and again I get this, by the way, from you know,

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Speaker 8: Jewish people whose grandparents like survived the Holocaust. There's a

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Speaker 8: level of sensitivity that is totally understandable that I don't

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Speaker 8: have because I'm not Jewish. My grandparents didn't survive the Holocaust,

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Speaker 8: and so I understand why that sensitivity exists for many,

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Speaker 8: many people. We are still within the lifetimes of people

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Speaker 8: who went through the.

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Speaker 3: Greatest genocide that the world has ever seen.

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Speaker 8: Greatest in the sense of like the most dramatic, most

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Speaker 8: tragic and awful genocide the world's ever seen.

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Speaker 3: So you understand the sensitivity. But then if you.

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Speaker 8: Are a news organization, the context is more important than

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Speaker 8: the sensitivity obviously.

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Speaker 1: Well and not only that, but I don't think you

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Speaker 1: do Jewish people many neighbors either, because now the narrative

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Speaker 1: they're getting in the world is Jews are being hunted

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Speaker 1: just for no reason other than their religion on the streets.

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Speaker 5: Absolutely European city.

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Speaker 1: Absolutely, And you know, noteworthy in this whole melee is that,

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Speaker 1: you know, Dutch Jews, there's no indication any of them

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Speaker 1: were targeted, Like there's no indication that there's been an

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Speaker 1: uptick in violence or there's shops ACKed or anything like that.

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Speaker 3: It's like targeted for being Jewish.

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Speaker 1: Yes, it was, you know, purely, like in the context

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Speaker 1: of this soccer game and these fans chanting like you know,

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Speaker 1: these hooligans chanting death to Arabs and bragging about killing

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Speaker 1: children and burning Palestinian flags and running around with steel

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Speaker 1: pipes and being incredibly provogaed I saw a report ones

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Speaker 1: like you know, going through up and down a subway

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Speaker 1: car looking for a Palestinian to like harass. So so yeah,

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Speaker 1: it's it's important for everybody that you actually understand what

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Speaker 1: is going on, and to your point about the internal

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Speaker 1: struggles and like the you know, the struggle sessions that

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Speaker 1: are happening there right now. The first article that was

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Speaker 1: published about these events went through at least four different

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Speaker 1: headline changes.

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Speaker 3: At least four that's interesting.

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Speaker 1: Yeah, it was like, I know, Ryan, I saw this

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Speaker 1: from Ryan too, because he was like, hey, if you're

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Speaker 1: involved in this, can you go ahead and hit me

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Speaker 1: up on signal let me know what was going on here,

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Speaker 1: because yeah, it was clearly very tortured the attempt like

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Speaker 1: how do we word this and is it anti Semitism?

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Speaker 5: And where do we lead with that? And do we

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Speaker 5: put in the previously like.

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Speaker 1: It was they were clearly there was some sort of

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Speaker 1: an internal war going on even about how to headline

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00:21:23,359 --> 00:21:24,400
Speaker 1: this series of events.

439
00:21:24,600 --> 00:21:26,119
Speaker 8: Yeah, and you know, it actually reminds me, like even

440
00:21:26,160 --> 00:21:28,280
Speaker 8: if someone I have like a more libertarian take on

441
00:21:28,320 --> 00:21:30,240
Speaker 8: the police, but it reminds me of a lot of

442
00:21:30,240 --> 00:21:33,720
Speaker 8: the coverage of police violence against black Americans when you

443
00:21:33,800 --> 00:21:37,760
Speaker 8: public when you do public polling about how many police killings.

444
00:21:37,760 --> 00:21:39,359
Speaker 8: This is obviously like five years ago when we were

445
00:21:39,359 --> 00:21:41,359
Speaker 8: talking about it more and more, But when you do

446
00:21:41,520 --> 00:21:47,200
Speaker 8: polling about how many unarmed people are killed by police

447
00:21:47,240 --> 00:21:51,560
Speaker 8: every year, the public vastly overestimates what the number is. Yeah,

448
00:21:51,600 --> 00:21:56,439
Speaker 8: because the media coverage is so so intense during different

449
00:21:56,440 --> 00:21:59,680
Speaker 8: parts of you know, the last decade. I would say,

450
00:22:00,200 --> 00:22:02,919
Speaker 8: to your point about who this is, like, whether this

451
00:22:03,000 --> 00:22:06,080
Speaker 8: actually helps to even have that heightened sensitivity, I would

452
00:22:06,080 --> 00:22:08,560
Speaker 8: say it doesn't because it doesn't create an accurate picture

453
00:22:08,560 --> 00:22:11,639
Speaker 8: of what actually happened. And I'm sure saying death to

454
00:22:11,680 --> 00:22:14,919
Speaker 8: Arabs elicited death to Jews, like I don't doubt that

455
00:22:14,920 --> 00:22:18,240
Speaker 8: that happened on the streets of Amsterdam. I'm sure that

456
00:22:18,280 --> 00:22:22,520
Speaker 8: there's legitimately anti Semitism, and there was probably some of

457
00:22:22,520 --> 00:22:25,159
Speaker 8: it at play here. But if you were following this

458
00:22:25,640 --> 00:22:27,680
Speaker 8: on my timeline and as somebody who's on the right

459
00:22:28,040 --> 00:22:32,080
Speaker 8: as it was happening, you would be misinformed about what

460
00:22:32,200 --> 00:22:36,240
Speaker 8: actually went down that day. Yeah, and that's I mean, it's.

461
00:22:36,119 --> 00:22:38,640
Speaker 3: Not journalism and it's not doing anyone in any favors.

462
00:22:38,760 --> 00:22:40,679
Speaker 1: Yeah, I mean, there is a similar dynamic, you know,

463
00:22:40,720 --> 00:22:44,080
Speaker 1: from my left perspective of people think that the crime

464
00:22:44,200 --> 00:22:46,320
Speaker 1: rates right now are much higher than they are. Yes,

465
00:22:46,680 --> 00:22:48,679
Speaker 1: they think they're like the highest in history. If you

466
00:22:48,680 --> 00:22:50,040
Speaker 1: go back and look at what was going on in

467
00:22:50,080 --> 00:22:51,640
Speaker 1: the eighties and early nineties, y'all.

468
00:22:51,400 --> 00:22:53,000
Speaker 5: We are nowhere close.

469
00:22:53,440 --> 00:22:55,119
Speaker 1: And in fact, you know, in a lot of places

470
00:22:55,160 --> 00:22:58,560
Speaker 1: violent crime has come down. That's not there was a

471
00:22:58,720 --> 00:23:01,760
Speaker 1: decided uptick during COVID, there's no doubt about those things.

472
00:23:01,800 --> 00:23:05,679
Speaker 1: But yeah, I mean it's Yeah, there's a misimpression that

473
00:23:05,760 --> 00:23:08,600
Speaker 1: is created about the level of crime that's occurring right now.

474
00:23:08,680 --> 00:23:11,720
Speaker 1: And also people are also very unaware of the fact

475
00:23:11,840 --> 00:23:14,600
Speaker 1: that the number of migrants crossing the border has also

476
00:23:14,800 --> 00:23:18,240
Speaker 1: in recent months come down quite significantly from its peak

477
00:23:18,280 --> 00:23:22,080
Speaker 1: as well. So in any case, a lot of inaccurate

478
00:23:22,080 --> 00:23:25,520
Speaker 1: pictures created a far of our world in our country here.

479
00:23:25,480 --> 00:23:28,639
Speaker 8: Yes, and the media is to blame, yes, So that

480
00:23:28,720 --> 00:23:29,639
Speaker 8: is something we can all agree on.

481
00:23:29,760 --> 00:23:35,400
Speaker 1: Indeed, so the Biden administration had a kind of strange

482
00:23:35,480 --> 00:23:38,879
Speaker 1: duality to economic policy that has confounded quite a number

483
00:23:39,000 --> 00:23:40,040
Speaker 1: of analysts now.

484
00:23:40,119 --> 00:23:42,520
Speaker 5: On the one hand, they completely.

485
00:23:42,000 --> 00:23:44,480
Speaker 1: Failed to deliver for working people in the near term

486
00:23:44,600 --> 00:23:47,640
Speaker 1: after the American Rescue Plan, the COVID social safety Net

487
00:23:47,800 --> 00:23:52,320
Speaker 1: was systematically dismantled, the fifteen dollars minimum wage hike completely scuttled,

488
00:23:52,560 --> 00:23:55,359
Speaker 1: and the Build Back Better agenda buried, never to be

489
00:23:55,400 --> 00:23:58,400
Speaker 1: heard from again. As reported by Lever News, the number

490
00:23:58,400 --> 00:24:02,320
Speaker 1: of Americans saying it was difficult to typical expenses skyrocketed,

491
00:24:02,600 --> 00:24:05,640
Speaker 1: Inflation of course would eventually ease, but prices they would

492
00:24:05,640 --> 00:24:08,000
Speaker 1: not come back down, and the child tax credit dead

493
00:24:08,000 --> 00:24:10,320
Speaker 1: for Baron's Red and four Barons, Stimmis and super doll

494
00:24:10,560 --> 00:24:12,680
Speaker 1: none of that was going to come back. On the

495
00:24:12,760 --> 00:24:16,879
Speaker 1: other hand, the Biden admins approach to labor antitrust and

496
00:24:17,000 --> 00:24:20,760
Speaker 1: crypto was actually really great, genuinely provoked the ire of

497
00:24:20,800 --> 00:24:24,760
Speaker 1: the billionaire class. Literally dozens of hate screens against FDC

498
00:24:24,920 --> 00:24:27,520
Speaker 1: chair Linaghan were published to the Wall Street Journal alone.

499
00:24:27,920 --> 00:24:30,280
Speaker 1: The people who had seen a chill descend on their

500
00:24:30,280 --> 00:24:32,719
Speaker 1: deal flow and who now had to grapple with workers

501
00:24:32,720 --> 00:24:36,320
Speaker 1: threatening union drives were one hundred percent read in on

502
00:24:36,520 --> 00:24:39,440
Speaker 1: exactly what the Biden administration was doing and to whom,

503
00:24:39,960 --> 00:24:43,760
Speaker 1: and they were pissed. Just see how even Democratic aligned

504
00:24:43,760 --> 00:24:46,720
Speaker 1: billionaires like Reid Hoffman and Mark Cuban waged a war

505
00:24:46,840 --> 00:24:49,560
Speaker 1: of their on their own nominee to pressure her into

506
00:24:49,600 --> 00:24:53,440
Speaker 1: buckling on the best parts of the Biden administration's economic policy.

507
00:24:53,880 --> 00:24:57,960
Speaker 1: This Biden policy was actually really excellent, best in my lifetime,

508
00:24:58,160 --> 00:25:01,639
Speaker 1: but it did little to deliver significant gains for regular

509
00:25:01,680 --> 00:25:03,000
Speaker 1: people in the short term.

510
00:25:03,160 --> 00:25:04,879
Speaker 5: So he kind of had a worst of all worlds.

511
00:25:05,119 --> 00:25:07,840
Speaker 1: He had a pissed off billionaire class and a pissed

512
00:25:07,840 --> 00:25:11,159
Speaker 1: off electorate. Perhaps if the president was able or willing

513
00:25:11,240 --> 00:25:13,960
Speaker 1: to explain his attacks on these forces, the landscape could

514
00:25:14,040 --> 00:25:17,480
Speaker 1: have been somewhat different. But if a billionaire cries over

515
00:25:17,520 --> 00:25:19,600
Speaker 1: his lost merger in the woods and no one hears,

516
00:25:19,640 --> 00:25:22,199
Speaker 1: it doesn't really make a sound, not as far as

517
00:25:22,240 --> 00:25:24,600
Speaker 1: the mass voting public is concerned. But in fact, quite

518
00:25:24,640 --> 00:25:28,280
Speaker 1: a few of those billionaires did speak loudly with their checkbooks,

519
00:25:28,520 --> 00:25:32,040
Speaker 1: because no president in history has had more unified mega

520
00:25:32,080 --> 00:25:33,760
Speaker 1: donor support than Donald J.

521
00:25:33,880 --> 00:25:34,200
Speaker 5: Trump.

522
00:25:34,480 --> 00:25:37,080
Speaker 1: Now that might seem unlikely, given that Kamala raised so

523
00:25:37,160 --> 00:25:40,359
Speaker 1: much more money than Trump did, but these vast resources

524
00:25:40,359 --> 00:25:43,680
Speaker 1: were largely pulled from the affluent, resistant liberal donor base.

525
00:25:43,920 --> 00:25:46,600
Speaker 1: The Financial Times compiled the numbers, and you could take

526
00:25:46,600 --> 00:25:46,920
Speaker 1: a look.

527
00:25:46,960 --> 00:25:47,680
Speaker 5: It's quite clear.

528
00:25:48,040 --> 00:25:51,760
Speaker 1: Both candidates, of course, enjoyed generous support from wealthy donors,

529
00:25:51,760 --> 00:25:55,320
Speaker 1: but Trump's elite donor hall vastly dwarfed that of Harris

530
00:25:55,320 --> 00:25:58,920
Speaker 1: and her allied packs. So in total, Kamala raised about

531
00:25:58,920 --> 00:26:01,520
Speaker 1: one hundred and twenty seven million dollars, or about six

532
00:26:01,600 --> 00:26:05,199
Speaker 1: percent of her total funding from America's billionaires. Trump, on

533
00:26:05,240 --> 00:26:07,960
Speaker 1: the other hand, vacued up a whopping five hundred and

534
00:26:08,000 --> 00:26:10,960
Speaker 1: sixty eight million dollars, or about a third of his

535
00:26:11,080 --> 00:26:15,159
Speaker 1: total funding from that billionaire class. This level of disparity

536
00:26:15,240 --> 00:26:18,320
Speaker 1: between billionaire giving is actually pretty unique in this election,

537
00:26:18,680 --> 00:26:21,359
Speaker 1: and reflected a clear verdict on how the wealthiest people

538
00:26:21,359 --> 00:26:24,040
Speaker 1: in the world viewed this contest through the lens of

539
00:26:24,080 --> 00:26:27,480
Speaker 1: their own class interest. As Marine Ta Katchik writes for

540
00:26:27,520 --> 00:26:30,920
Speaker 1: The American Prospect, of the top ten mega donors, only

541
00:26:31,040 --> 00:26:34,760
Speaker 1: the bottom two gave to Democrats. Trump's hall from his

542
00:26:34,880 --> 00:26:37,560
Speaker 1: own top ten donors, none of whom both the surname

543
00:26:37,600 --> 00:26:40,520
Speaker 1: Coke Courtil, by the way, amounted to about nine hundred

544
00:26:40,520 --> 00:26:43,840
Speaker 1: and forty five million dollars, Harris's top down a two

545
00:26:43,960 --> 00:26:46,399
Speaker 1: hundred and fifty four million. Now Harris ended up, She

546
00:26:46,440 --> 00:26:48,960
Speaker 1: pointed out, raising more money thanks to resistance giving, but

547
00:26:48,960 --> 00:26:51,280
Speaker 1: Trump got to spend much less time raising it, and

548
00:26:51,320 --> 00:26:54,440
Speaker 1: with Musk he also had the algorithms on his side.

549
00:26:54,720 --> 00:26:57,760
Speaker 1: Marine's Peace posits an interesting and I think correct theory

550
00:26:57,760 --> 00:27:00,280
Speaker 1: that I hadn't considered before, which is that which of

551
00:27:00,280 --> 00:27:04,199
Speaker 1: the billionaire raging over Gaza and campus anti Semitism was

552
00:27:04,240 --> 00:27:07,000
Speaker 1: really a proxy war over the Biden policies that hurt

553
00:27:07,000 --> 00:27:10,600
Speaker 1: their bottom lines. After October seventh, billionaires congregated in group

554
00:27:10,720 --> 00:27:15,040
Speaker 1: chats to organize cancelation campaigns, to defund insufficiently pro Israel

555
00:27:15,080 --> 00:27:17,840
Speaker 1: news outlets, and even raise money to fund a squad

556
00:27:17,840 --> 00:27:20,320
Speaker 1: of goons to assist the NYPD in cracking down on

557
00:27:20,359 --> 00:27:25,359
Speaker 1: college protesters. Warring details the various, very specific agreemances that

558
00:27:25,440 --> 00:27:29,320
Speaker 1: these same billionaires had with the Biden Harris administration when

559
00:27:29,359 --> 00:27:32,000
Speaker 1: it came to their bottom line. She writes, all of

560
00:27:32,040 --> 00:27:34,879
Speaker 1: the whales had self serving a grievances with the Biden

561
00:27:34,920 --> 00:27:37,880
Speaker 1: White House. Elon Musk has been fuming at Biden ever

562
00:27:37,920 --> 00:27:40,440
Speaker 1: since the National Labor Relations Board forced him in twenty

563
00:27:40,480 --> 00:27:43,399
Speaker 1: twenty one to delete a twenty eighteen tweet threatening to

564
00:27:43,440 --> 00:27:46,920
Speaker 1: rescind the stock options of Tesla workers who voted to unionize.

565
00:27:47,119 --> 00:27:50,240
Speaker 1: Harvard boycott and do not Hire list coordinator Bill Ackman

566
00:27:50,359 --> 00:27:53,360
Speaker 1: is likely nursing a grudge over some deleted tweets posted

567
00:27:53,359 --> 00:27:56,359
Speaker 1: by a top SEC official about his dubious back. So

568
00:27:56,400 --> 00:27:59,480
Speaker 1: apparently Elon was pissy over the National Labor Relations Board

569
00:27:59,560 --> 00:28:02,680
Speaker 1: checking his union busting. Acman had a two billion dollar

570
00:28:02,720 --> 00:28:05,760
Speaker 1: stake in Google, which was successfully sued by the Biden doj.

571
00:28:06,320 --> 00:28:09,480
Speaker 1: The billionaire who launched a donations boycott against U Penn

572
00:28:09,520 --> 00:28:11,679
Speaker 1: happens to be CEO of the private equity firm that

573
00:28:11,720 --> 00:28:15,040
Speaker 1: owns a grocery store whose merchant Biden merger Biden was blocking,

574
00:28:15,320 --> 00:28:18,720
Speaker 1: and also owns a for profit diploma mill that the

575
00:28:18,840 --> 00:28:21,840
Speaker 1: Biden Department of Education was going after. A Bunch of

576
00:28:21,880 --> 00:28:24,080
Speaker 1: these guys, of course, have big crypto investments that were

577
00:28:24,119 --> 00:28:27,800
Speaker 1: in danger thanks to SEC chair Gary Gensler actually regulating them.

578
00:28:28,080 --> 00:28:31,240
Speaker 1: Now they used Israel to launder their class interests, positioning

579
00:28:31,280 --> 00:28:34,119
Speaker 1: themselves as the defenders of the average Joe against the

580
00:28:34,160 --> 00:28:38,000
Speaker 1: militant college lefty, while simultaneously cloking themselves in the language

581
00:28:38,000 --> 00:28:41,480
Speaker 1: of microaggressions and safe spaces. An incredible jiu jitsu move,

582
00:28:41,520 --> 00:28:43,800
Speaker 1: I guess, and a successful one, because I bet if

583
00:28:43,800 --> 00:28:47,080
Speaker 1: you asked one hundred Americans which candidate raised more from billionaires,

584
00:28:47,280 --> 00:28:50,360
Speaker 1: ninety nine of them would pick Kamala. The reality, however,

585
00:28:50,520 --> 00:28:52,720
Speaker 1: is the polar opposite. And that's to say nothing of

586
00:28:52,720 --> 00:28:56,560
Speaker 1: the billionaires who simply quietly dropped their previous opposition to Trump.

587
00:28:56,800 --> 00:28:59,400
Speaker 1: Jeff Bezos was the most prominent example, with his decision

588
00:28:59,400 --> 00:29:01,360
Speaker 1: to block his non use paper The Washington Post from

589
00:29:01,360 --> 00:29:04,239
Speaker 1: making an endorsement in the race. Warren Buffett stayed on

590
00:29:04,320 --> 00:29:08,280
Speaker 1: this election entirely. Google Sundar Pachai called Trump to make nice,

591
00:29:08,320 --> 00:29:11,520
Speaker 1: as did Apples, Tim Cook and Facebook Smark Zuckerberg. Even

592
00:29:11,600 --> 00:29:14,920
Speaker 1: Kamala's big billionaire story hit Mark Cuban. He didn't actually

593
00:29:14,920 --> 00:29:17,239
Speaker 1: give her any money for her campaign, and he has

594
00:29:17,280 --> 00:29:20,640
Speaker 1: now scrubbed his Twitter account of all previous pro Kamala tweets.

595
00:29:20,720 --> 00:29:21,520
Speaker 5: Kind of incredible.

596
00:29:21,920 --> 00:29:24,800
Speaker 1: Trump himself had become a comfortable choice for many elites

597
00:29:24,840 --> 00:29:28,320
Speaker 1: after dropping his twenty sixteen rhetorical opposition to billionaire donors

598
00:29:28,320 --> 00:29:31,400
Speaker 1: and commitment to drain the swamp. So it's recalling just

599
00:29:31,520 --> 00:29:34,680
Speaker 1: how vitriolic he was back then towards a Republican Party

600
00:29:34,720 --> 00:29:35,360
Speaker 1: donor class.

601
00:29:35,440 --> 00:29:37,240
Speaker 5: You remember this quiet.

602
00:29:37,160 --> 00:29:44,600
Speaker 6: Helped us at the time a lot of times. That's

603
00:29:44,640 --> 00:29:49,640
Speaker 6: all of his donors and special interests out. So that's

604
00:29:49,640 --> 00:29:52,120
Speaker 6: what it is. That's what And by the way, let

605
00:29:52,120 --> 00:29:54,160
Speaker 6: me just tell you we need a tickets. You can't

606
00:29:54,160 --> 00:29:55,800
Speaker 6: get him. You know who has the tickets for the

607
00:29:55,880 --> 00:30:00,680
Speaker 6: I'm talking about to the television audience, donors, specially the

608
00:30:00,800 --> 00:30:03,040
Speaker 6: people that are putting up the money.

609
00:30:03,680 --> 00:30:04,160
Speaker 5: Who it is.

610
00:30:05,080 --> 00:30:08,120
Speaker 6: The RNC told us we have all donors in the audience.

611
00:30:08,160 --> 00:30:12,040
Speaker 6: And the reason they're not loving me, the reason they're

612
00:30:12,080 --> 00:30:14,880
Speaker 6: not excuse me, the reason they're not loving me is

613
00:30:14,920 --> 00:30:16,520
Speaker 6: I don't want their money. I'm going to do the

614
00:30:16,600 --> 00:30:19,560
Speaker 6: right thing for the American public. I don't want their money.

615
00:30:19,600 --> 00:30:21,520
Speaker 6: I don't need their money. And I'm the only one

616
00:30:21,560 --> 00:30:22,520
Speaker 6: up here that can say that.

617
00:30:22,960 --> 00:30:26,320
Speaker 1: A recently resurfaced tweet has Trump castigating Mark or Rubio

618
00:30:26,440 --> 00:30:29,480
Speaker 1: for being Sheldon Adelson's perfect little puppet. Kind of incredible

619
00:30:29,520 --> 00:30:32,640
Speaker 1: given that Trump himself was this time around beneficiarya of

620
00:30:32,640 --> 00:30:36,160
Speaker 1: an eye popping one hundred million dollars from Sheldon's widow, Miriam,

621
00:30:36,400 --> 00:30:38,640
Speaker 1: who already seems to have received for it a bespoke

622
00:30:38,800 --> 00:30:42,320
Speaker 1: Israel First administration, complete with End Times evangelicals running the

623
00:30:42,320 --> 00:30:45,200
Speaker 1: Pentagon and serving as ambassador to that nation.

624
00:30:45,720 --> 00:30:47,560
Speaker 5: But wasn't just Miriam Trump.

625
00:30:47,240 --> 00:30:50,320
Speaker 1: Corted he flipped his position on crypto, blatantly promised a

626
00:30:50,400 --> 00:30:52,680
Speaker 1: room full of billionaires he will cut their taxes, told

627
00:30:52,720 --> 00:30:54,960
Speaker 1: another room of oil and gas executives that he would

628
00:30:54,960 --> 00:30:59,240
Speaker 1: fulfill their wildest deregulatory dreams. If twenty sixteen was dream swamp,

629
00:30:59,280 --> 00:31:02,600
Speaker 1: twenty twenty four was suck off the swamp. So outside

630
00:31:02,600 --> 00:31:04,840
Speaker 1: of Miriam, what are the rest of the billionaires getting

631
00:31:04,880 --> 00:31:09,080
Speaker 1: for their dollars? The general contours are cryptoregulation over tax

632
00:31:09,120 --> 00:31:11,680
Speaker 1: cuts for the rich le nakhn in, aggressive anti trust

633
00:31:11,760 --> 00:31:16,400
Speaker 1: enforcement over general deregulation, pro labor natural labor relations Board gutted.

634
00:31:16,680 --> 00:31:19,200
Speaker 1: I've no doubt specific donors will reap their version of

635
00:31:19,240 --> 00:31:21,640
Speaker 1: bespoke government rewards in the same way that Miriam was

636
00:31:21,680 --> 00:31:24,120
Speaker 1: able to get her Israel First administration. Much of that

637
00:31:24,160 --> 00:31:27,280
Speaker 1: we probably won't even see from our vange point. Elon

638
00:31:27,400 --> 00:31:29,800
Speaker 1: Musk may of course, be the biggest winner, and he

639
00:31:30,000 --> 00:31:33,280
Speaker 1: is already clearly reaping the rewards. One source says he's

640
00:31:33,320 --> 00:31:35,600
Speaker 1: been running around with Trump acting like he's go president.

641
00:31:35,640 --> 00:31:38,760
Speaker 1: As we discussed earlier, Elon's officially been awarded his custom

642
00:31:38,800 --> 00:31:41,000
Speaker 1: hole of government gig to crush any sort of legal

643
00:31:41,040 --> 00:31:43,800
Speaker 1: and regulatory hurdles that his business interests are facing and

644
00:31:43,920 --> 00:31:46,240
Speaker 1: keep those massive taxpayer subsidies coming.

645
00:31:46,560 --> 00:31:48,480
Speaker 5: Don't forget, Musk's.

646
00:31:48,120 --> 00:31:52,240
Speaker 1: Companies are some of the largest recipients of government contracts period.

647
00:31:52,600 --> 00:31:56,880
Speaker 1: SpaceX alone received fifteen point four billion dollars from the

648
00:31:56,880 --> 00:31:59,720
Speaker 1: government over the past decade. Your tax dollars have helped

649
00:31:59,720 --> 00:32:01,800
Speaker 1: to make him the richest man on Earth, and so

650
00:32:01,920 --> 00:32:04,680
Speaker 1: it is reasonable to expect that our government would provide

651
00:32:04,800 --> 00:32:08,880
Speaker 1: some oversight of those expenditures. And in fact, Musk's companies

652
00:32:08,920 --> 00:32:11,840
Speaker 1: are increasingly entangled in a web of regulatory disputes and

653
00:32:11,880 --> 00:32:16,920
Speaker 1: investigations over things like workplace safety violations, union busting, environmental abuses,

654
00:32:16,960 --> 00:32:19,960
Speaker 1: and more. Now, look, some of these investigations might have merit,

655
00:32:20,040 --> 00:32:22,440
Speaker 1: some might not. But does anyone think that under a

656
00:32:22,480 --> 00:32:27,120
Speaker 1: Trump administration he will face scrudiny over literally anything, Even

657
00:32:27,200 --> 00:32:29,920
Speaker 1: if Doge is really just a make work project for

658
00:32:29,960 --> 00:32:34,600
Speaker 1: Elon and Favek. These benefits are real, and they are gigantic.

659
00:32:34,960 --> 00:32:37,920
Speaker 1: Our government being run to serve the interests of the

660
00:32:38,080 --> 00:32:41,960
Speaker 1: richest man on the planet. It is a deeply disturbing outcome.

661
00:32:42,200 --> 00:32:44,120
Speaker 1: Even if you love Elon, just to maagine it was

662
00:32:44,160 --> 00:32:46,640
Speaker 1: Bill Gates, Imagine it was George Shores. Then tell me

663
00:32:46,880 --> 00:32:50,600
Speaker 1: how you would feel about one billionaire, any billionaire, having

664
00:32:50,640 --> 00:32:54,320
Speaker 1: this level of immunity and control. Now Musk is also

665
00:32:54,360 --> 00:32:57,600
Speaker 1: apparently meeting with Trump every day to help oversee government staffing,

666
00:32:57,640 --> 00:33:00,160
Speaker 1: even to speak with foreign leaders. No one allowed to

667
00:33:00,240 --> 00:33:04,280
Speaker 1: billionaire should have this kind of control, period. So did

668
00:33:04,280 --> 00:33:06,920
Speaker 1: Democrats deliver for the working class on a material basis

669
00:33:06,920 --> 00:33:07,640
Speaker 1: in the hero now?

670
00:33:08,040 --> 00:33:08,240
Speaker 5: No.

671
00:33:08,840 --> 00:33:11,640
Speaker 1: Did they aggravate enough billionaires for them to throw hundreds

672
00:33:11,680 --> 00:33:14,520
Speaker 1: of millions of dollars to get Lena Conenco off their backs?

673
00:33:15,040 --> 00:33:15,880
Speaker 5: Absolutely?

674
00:33:16,480 --> 00:33:19,080
Speaker 1: Now twenty sixteen, the capitol class, they didn't know what

675
00:33:19,160 --> 00:33:21,000
Speaker 1: to make a Trump, whether he might cause trouble for

676
00:33:21,040 --> 00:33:23,680
Speaker 1: them their bottom line, but ultimately in the end he

677
00:33:23,760 --> 00:33:27,000
Speaker 1: delivered for them. His cabinet was the wealthiest in history,

678
00:33:27,160 --> 00:33:31,200
Speaker 1: stocked with CEOs, billionaires and Wall Street executives. His primary

679
00:33:31,240 --> 00:33:34,960
Speaker 1: accomplishment was a tax cut that overwhelmingly benefited the wealthy.

680
00:33:35,320 --> 00:33:38,000
Speaker 1: He stopped his National Labor Relations Board with union busters

681
00:33:38,040 --> 00:33:40,280
Speaker 1: who made sure that workers did not stand a shot

682
00:33:40,400 --> 00:33:43,320
Speaker 1: and increasing their labor power. So this time around, there

683
00:33:43,480 --> 00:33:46,440
Speaker 1: was little concern, plenty of enthusiasm actually about getting their

684
00:33:46,440 --> 00:33:49,000
Speaker 1: man back in the White House. They are fully confident

685
00:33:49,160 --> 00:33:53,320
Speaker 1: that any chaos which is unleashed will leave them unscathed.

686
00:33:53,760 --> 00:33:57,720
Speaker 1: And that is one of truly the most impressive accomplishments.

687
00:33:57,800 --> 00:34:00,600
Speaker 2: And if you want to hear my reaction to Chrystal monologue,

688
00:34:00,600 --> 00:34:03,920
Speaker 2: become a premium subscriber today at Breakingpoints dot com.

689
00:34:06,600 --> 00:34:09,360
Speaker 1: So of course there's been a big conversation about the bros,

690
00:34:09,840 --> 00:34:13,520
Speaker 1: the young gen Z men shifting right and backing Donald Trump,

691
00:34:13,560 --> 00:34:16,319
Speaker 1: and some also just staying home, so to try to.

692
00:34:16,360 --> 00:34:18,319
Speaker 5: Understand more of what may be going on there.

693
00:34:18,320 --> 00:34:20,920
Speaker 1: We're lucky to be joined this morning by Sonjay Morley

694
00:34:21,000 --> 00:34:24,160
Speaker 1: there and he is the vice president of the College Democrats,

695
00:34:24,640 --> 00:34:27,760
Speaker 1: hoping to give some advice to his Democratic brothers and sisters.

696
00:34:27,800 --> 00:34:29,279
Speaker 1: Great to see you Sunday, welcome.

697
00:34:29,719 --> 00:34:30,920
Speaker 4: Well, thank you so much for having me.

698
00:34:31,000 --> 00:34:31,880
Speaker 5: Yeah, it's our pleasure.

699
00:34:32,160 --> 00:34:33,840
Speaker 1: So let's go just put the numbers up on the

700
00:34:33,880 --> 00:34:37,080
Speaker 1: screen and get your reaction to some of the shifts

701
00:34:37,080 --> 00:34:40,640
Speaker 1: that we saw. So young women in twenty twenty four,

702
00:34:40,719 --> 00:34:43,560
Speaker 1: fifty eight percent voted for Kamala Harris. That was a

703
00:34:43,600 --> 00:34:46,880
Speaker 1: decline from twenty twenty one, sixty five percent voted for

704
00:34:47,000 --> 00:34:50,400
Speaker 1: Joe Biden. With young men, you saw an even steeper decline.

705
00:34:50,440 --> 00:34:53,960
Speaker 1: You see only forty two percent of young men voting

706
00:34:53,960 --> 00:34:56,680
Speaker 1: for Kamala Harris, meaning that Trump won fifty six percent,

707
00:34:56,800 --> 00:34:59,799
Speaker 1: And that is a total flip from back in twenty

708
00:34:59,800 --> 00:35:02,680
Speaker 1: two money when Joe Biden won fifty six percent. Of

709
00:35:02,719 --> 00:35:05,840
Speaker 1: this population, we're talking about men under the age of

710
00:35:06,120 --> 00:35:09,200
Speaker 1: twenty nine. So what do you see in these numbers?

711
00:35:09,239 --> 00:35:10,439
Speaker 1: What do you think is going on here?

712
00:35:11,600 --> 00:35:15,040
Speaker 9: Well, I think these are largely unsurprising. To put it simply,

713
00:35:15,560 --> 00:35:18,480
Speaker 9: I think that as Democrats we fail to directly make

714
00:35:18,520 --> 00:35:20,839
Speaker 9: the case two young men, and the right has very

715
00:35:20,920 --> 00:35:25,040
Speaker 9: much successfully exploited I guess the struggles of young men,

716
00:35:25,080 --> 00:35:26,600
Speaker 9: and I guess to truly understand this, we have to

717
00:35:26,640 --> 00:35:30,279
Speaker 9: take a step back and kind of largely contextualize gen

718
00:35:30,360 --> 00:35:32,160
Speaker 9: Z men and just gen Z as a whole. You know,

719
00:35:32,280 --> 00:35:35,600
Speaker 9: gen Z, we're a generation and crisis. Forty two percent

720
00:35:35,640 --> 00:35:38,560
Speaker 9: of us struggle with depression, Our anxiety. Seventy three percent

721
00:35:38,560 --> 00:35:42,719
Speaker 9: of us have indicated that we feel alone sometimes are.

722
00:35:42,600 --> 00:35:44,080
Speaker 4: Always in our most formative years.

723
00:35:44,480 --> 00:35:48,960
Speaker 9: And this mental health epidemic is further exascerbated within you know,

724
00:35:49,000 --> 00:35:50,760
Speaker 9: the male populace, because.

725
00:35:50,520 --> 00:35:52,319
Speaker 4: It just simply isn't socially.

726
00:35:52,040 --> 00:35:54,000
Speaker 9: Acceptable for us to go out and talk to our

727
00:35:54,000 --> 00:35:55,799
Speaker 9: buddies about our feelings. You know, we tend to kind

728
00:35:55,800 --> 00:35:59,160
Speaker 9: of bottle it up quote unquote man up. And the

729
00:35:59,239 --> 00:36:03,640
Speaker 9: result of this is terrible, you know, and I think

730
00:36:03,680 --> 00:36:06,280
Speaker 9: the right is kind of very much successfully tapped into,

731
00:36:06,520 --> 00:36:10,040
Speaker 9: you know, these feelings of these just general like mal

732
00:36:10,120 --> 00:36:13,120
Speaker 9: sentiments and utilize that in a way that's resulted in

733
00:36:13,160 --> 00:36:14,280
Speaker 9: their electoral victory.

734
00:36:14,640 --> 00:36:16,640
Speaker 8: And why do you think, at least us so far,

735
00:36:16,680 --> 00:36:19,960
Speaker 8: it looks like Kamala Harris failed to inspire a big

736
00:36:20,000 --> 00:36:23,279
Speaker 8: turnout among voters under the age of twenty nine. Why

737
00:36:23,280 --> 00:36:25,279
Speaker 8: do you even compare with Joe Biden, who, by the way,

738
00:36:25,360 --> 00:36:28,320
Speaker 8: I mean it's not just Biden's age. Obviously, Bernie Sanders

739
00:36:28,400 --> 00:36:31,120
Speaker 8: was able to mobilize a pretty significant chunk of the

740
00:36:31,160 --> 00:36:33,960
Speaker 8: youth vote. But why do you think the Harris campaign

741
00:36:34,760 --> 00:36:36,480
Speaker 8: And I'm curious what you make of there's the turnout

742
00:36:36,560 --> 00:36:38,280
Speaker 8: question in general, But why do you think that Harris

743
00:36:38,280 --> 00:36:40,960
Speaker 8: campaign struggled to get young people even to come out

744
00:36:41,280 --> 00:36:42,080
Speaker 8: and vote for her.

745
00:36:43,480 --> 00:36:45,400
Speaker 9: Well, I think, I mean, it's hard to ignore the

746
00:36:45,400 --> 00:36:48,160
Speaker 9: elephant in the room of gaza. You know, college democrats

747
00:36:48,200 --> 00:36:51,319
Speaker 9: haven't been afraid to take a stand and you know,

748
00:36:51,440 --> 00:36:55,280
Speaker 9: actually go up against the Biden administration on this consequential issue.

749
00:36:55,400 --> 00:36:57,920
Speaker 9: I think there's this common misconception that a lot of

750
00:36:57,920 --> 00:37:00,360
Speaker 9: these people who are protesting are like, you know, some

751
00:37:00,400 --> 00:37:02,560
Speaker 9: type of fringe left wing radicals, but a lot of

752
00:37:02,560 --> 00:37:05,000
Speaker 9: them are actually call those Democrats who are actually stifically

753
00:37:05,080 --> 00:37:08,479
Speaker 9: engaged and care about you know, elections as a whole.

754
00:37:08,840 --> 00:37:10,799
Speaker 9: And you know, if you're not listening to young people

755
00:37:10,840 --> 00:37:13,359
Speaker 9: across the country who are literally getting beaten, literally getting

756
00:37:13,400 --> 00:37:15,880
Speaker 9: arrested in pepper sprayed for standing up for global justice,

757
00:37:16,760 --> 00:37:19,160
Speaker 9: it shouldn't be surprising that they didn't turn out in

758
00:37:19,200 --> 00:37:21,520
Speaker 9: the numbers that we expected. So I think that's the

759
00:37:21,520 --> 00:37:25,160
Speaker 9: biggest one. But I also think young people in general,

760
00:37:25,760 --> 00:37:29,799
Speaker 9: we just want to know whether or not uh the

761
00:37:29,840 --> 00:37:32,399
Speaker 9: people at the top care about our futures, right, We're

762
00:37:32,400 --> 00:37:35,680
Speaker 9: not this kind of high up elite uh niche group

763
00:37:35,719 --> 00:37:37,360
Speaker 9: that cares about cultural war issues. We want to know,

764
00:37:37,400 --> 00:37:38,920
Speaker 9: are we going to be able to afford a house?

765
00:37:39,239 --> 00:37:41,040
Speaker 9: Are we going to be able to pay for our groceries?

766
00:37:41,040 --> 00:37:42,799
Speaker 9: Are we going to be able to pay off a

767
00:37:42,840 --> 00:37:45,560
Speaker 9: student loans? And while Democrats, you know, we have the

768
00:37:45,600 --> 00:37:48,120
Speaker 9: policies that solve each of these issues, we kind of

769
00:37:48,120 --> 00:37:50,200
Speaker 9: failed to connect what you guys have referred to earlier

770
00:37:50,239 --> 00:37:51,800
Speaker 9: in some of your earlier segments as like the laundry

771
00:37:51,840 --> 00:37:55,920
Speaker 9: list of Democratic policies to our daily lives. And I

772
00:37:55,920 --> 00:37:58,800
Speaker 9: think failing to make that connection, coupled with the fact

773
00:37:58,840 --> 00:38:02,480
Speaker 9: that the concerns of young people on Gaza were largely ignored,

774
00:38:02,760 --> 00:38:04,920
Speaker 9: would be the two most predominant reasons why I crossed

775
00:38:04,960 --> 00:38:05,280
Speaker 9: the board.

776
00:38:05,440 --> 00:38:06,160
Speaker 4: Yeah, we saw it.

777
00:38:06,520 --> 00:38:06,719
Speaker 5: Yeah.

778
00:38:06,719 --> 00:38:10,120
Speaker 1: I've been thinking Sonjai to about how it's almost like

779
00:38:10,239 --> 00:38:14,640
Speaker 1: an instinct or it's like the typical protocol within the

780
00:38:14,680 --> 00:38:19,239
Speaker 1: Democratic Party to sort of bash their young base post

781
00:38:19,320 --> 00:38:22,040
Speaker 1: Obama two thousand and eight, and even Obama after two

782
00:38:22,040 --> 00:38:23,880
Speaker 1: thousand and eight kind of you know, made a point

783
00:38:23,920 --> 00:38:27,040
Speaker 1: of punching left and you know, like hippie punching, which

784
00:38:27,080 --> 00:38:32,440
Speaker 1: often ends up being the young, idealistic activists who.

785
00:38:32,280 --> 00:38:33,200
Speaker 5: Bear the brunt of that.

786
00:38:33,400 --> 00:38:35,680
Speaker 1: But you know, it's clear for me in particular with

787
00:38:35,719 --> 00:38:38,280
Speaker 1: the response to the Bernie Sanders movement, which was largely

788
00:38:38,680 --> 00:38:41,520
Speaker 1: a youth movement that was eight years ago. So some

789
00:38:41,560 --> 00:38:43,879
Speaker 1: of the people who were big Bernie Sanders supporters aren't

790
00:38:43,920 --> 00:38:46,840
Speaker 1: under that age of thirty anymore. But it's indicative of

791
00:38:46,880 --> 00:38:50,200
Speaker 1: the way that the Democratic Party tends to treat its

792
00:38:50,320 --> 00:38:54,040
Speaker 1: young activist base, it's young, idealistic base. And you know,

793
00:38:54,080 --> 00:38:56,680
Speaker 1: you see the same instinct with regard to the treatment

794
00:38:56,680 --> 00:38:59,640
Speaker 1: of campus protesters, where you have Joe Biden, Kamala Harris

795
00:38:59,640 --> 00:39:02,600
Speaker 1: going out on their way to condemn them, to smear

796
00:39:02,640 --> 00:39:06,520
Speaker 1: them all as you know, blanket anti Semites, and so

797
00:39:06,800 --> 00:39:08,640
Speaker 1: you know, I don't think it should be surprising then

798
00:39:09,120 --> 00:39:11,680
Speaker 1: when if this is the treatment year after year after year,

799
00:39:12,040 --> 00:39:14,200
Speaker 1: people start feeling like, you know, even if they're not

800
00:39:14,200 --> 00:39:15,920
Speaker 1: going to vote for Donald Trump, like why am I

801
00:39:15,920 --> 00:39:17,239
Speaker 1: going to show up in both of these people who

802
00:39:17,239 --> 00:39:19,120
Speaker 1: don't even really seem like they want me or my

803
00:39:19,239 --> 00:39:20,320
Speaker 1: voice in their coalition?

804
00:39:22,200 --> 00:39:22,560
Speaker 4: Exactly.

805
00:39:22,880 --> 00:39:25,719
Speaker 9: It definitely makes our job top as callous Democrats. I

806
00:39:25,719 --> 00:39:27,719
Speaker 9: remember all the way back in May, you know, Ryan

807
00:39:27,800 --> 00:39:30,120
Speaker 9: Grim actually covered this when we put out a statement

808
00:39:30,680 --> 00:39:33,399
Speaker 9: in regards to this issue, I told in New York

809
00:39:33,440 --> 00:39:35,560
Speaker 9: Times that you know, we can do. We can have

810
00:39:35,600 --> 00:39:37,879
Speaker 9: all the manpower, all the organizing capacity, but if we're

811
00:39:37,880 --> 00:39:40,400
Speaker 9: given a broken script that doesn't actually align with the

812
00:39:40,400 --> 00:39:44,080
Speaker 9: best interests of college students, it's very tough for us to.

813
00:39:44,239 --> 00:39:46,680
Speaker 4: Excite these type of voters. And that's why we spoke

814
00:39:46,719 --> 00:39:48,160
Speaker 4: out as early as we did, because to.

815
00:39:48,160 --> 00:39:51,200
Speaker 9: Us, it would be a disservice to the party if

816
00:39:51,200 --> 00:39:52,640
Speaker 9: we didn't tell them that, hey.

817
00:39:52,719 --> 00:39:54,319
Speaker 4: You know, we know that you need youth to win,

818
00:39:55,160 --> 00:39:56,200
Speaker 4: and looking.

819
00:39:55,880 --> 00:39:57,839
Speaker 9: At what we're seeing on the ground, where our own

820
00:39:58,000 --> 00:40:01,600
Speaker 9: members of our organization are getting eaten and arrested, that's

821
00:40:01,600 --> 00:40:04,920
Speaker 9: not going to do well for turnout. And I deeply

822
00:40:05,000 --> 00:40:08,040
Speaker 9: do hope that in future election cycles they learned from this.

823
00:40:08,160 --> 00:40:10,239
Speaker 9: And I guess, you know, you don't need to agree

824
00:40:10,280 --> 00:40:12,640
Speaker 9: with campus protesters and everything, but the very least, you know,

825
00:40:12,680 --> 00:40:14,440
Speaker 9: support something simple as an armsymbargain.

826
00:40:15,320 --> 00:40:18,760
Speaker 4: And I think what's really telling are the numbers like Dearborn.

827
00:40:18,400 --> 00:40:21,319
Speaker 9: Michigan, for example, where Rashida to Leep want sixty percent

828
00:40:21,360 --> 00:40:23,520
Speaker 9: of the vote, but Harris lost to Trump.

829
00:40:23,560 --> 00:40:24,560
Speaker 4: And I think that.

830
00:40:24,520 --> 00:40:27,200
Speaker 9: Should be proof that you know, we're not losing because

831
00:40:27,200 --> 00:40:30,520
Speaker 9: we're failing to outcompete the right at shifting right word.

832
00:40:30,600 --> 00:40:34,160
Speaker 9: We're losing because we're failing to actually tap into issues

833
00:40:34,280 --> 00:40:37,560
Speaker 9: that matter to both young people but just Americans across

834
00:40:37,560 --> 00:40:37,839
Speaker 9: the board.

835
00:40:38,080 --> 00:40:40,000
Speaker 8: Yeah, when we get back to that question of the vibes,

836
00:40:40,040 --> 00:40:41,760
Speaker 8: we can put the next element up on the screen.

837
00:40:41,840 --> 00:40:42,600
Speaker 3: This is e too.

838
00:40:42,719 --> 00:40:47,040
Speaker 8: Some responses to the New York Times questions about this,

839
00:40:47,200 --> 00:40:48,600
Speaker 8: these are all gen Z voters, by.

840
00:40:48,480 --> 00:40:50,120
Speaker 3: The way, who went for Donald Trump.

841
00:40:50,280 --> 00:40:53,839
Speaker 8: And Pierce twenty six from North Carolina says I voted

842
00:40:53,840 --> 00:40:56,560
Speaker 8: for Donald Trump. I decided after Kamalo went on caller

843
00:40:56,640 --> 00:41:00,200
Speaker 8: and Daddy Lillian twenty seven of Virginia's that I've voted

844
00:41:00,239 --> 00:41:02,000
Speaker 8: for Trump and made that decision the same day the

845
00:41:02,040 --> 00:41:04,720
Speaker 8: mainstream media was having a meltdown after the Madison Square

846
00:41:04,880 --> 00:41:06,040
Speaker 8: Garden rally.

847
00:41:06,440 --> 00:41:09,040
Speaker 3: So one of the things I just want to put

848
00:41:09,080 --> 00:41:11,640
Speaker 3: to you, Sanjay, is you.

849
00:41:11,600 --> 00:41:14,160
Speaker 1: Know llewell At the guy who wrote in Mike Blueberg.

850
00:41:13,760 --> 00:41:16,880
Speaker 8: Mike Blueberg, Yeah, that's a weird bo He's really against

851
00:41:16,960 --> 00:41:17,640
Speaker 8: big gulps.

852
00:41:18,400 --> 00:41:20,520
Speaker 3: The that was the factor for him.

853
00:41:20,600 --> 00:41:23,319
Speaker 1: He wanted an overt like Oligarch and then not like

854
00:41:23,360 --> 00:41:25,480
Speaker 1: a subtle one, like a just an overt one in

855
00:41:25,480 --> 00:41:25,960
Speaker 1: the White House.

856
00:41:26,000 --> 00:41:29,480
Speaker 3: Yeah, you know, but a little bit of a throwback too.

857
00:41:29,880 --> 00:41:32,600
Speaker 8: But you know the question, it seems to me this

858
00:41:32,680 --> 00:41:34,480
Speaker 8: is very unusual for the right, but it seems to

859
00:41:34,520 --> 00:41:38,520
Speaker 8: me like there's something very fashionable among people who listen

860
00:41:38,640 --> 00:41:41,440
Speaker 8: to what they see as alternative kind of dissident podcasts.

861
00:41:41,520 --> 00:41:44,160
Speaker 3: People will like Joe Rogan, people like THEO Vaughn.

862
00:41:44,520 --> 00:41:47,520
Speaker 8: It almost became fashionable to vote for the Republican candidate

863
00:41:47,600 --> 00:41:49,839
Speaker 8: because it's Donald Trump. And now for Republicans that seems

864
00:41:49,880 --> 00:41:52,600
Speaker 8: to be a problem because it won't translate after Donald

865
00:41:52,640 --> 00:41:55,920
Speaker 8: Trump to other Republican candidates like a JD. Vant Just

866
00:41:56,000 --> 00:41:57,640
Speaker 8: people won't see it in quite the same way. But

867
00:41:57,640 --> 00:41:59,560
Speaker 8: could you speak to a little bit maybe what you

868
00:41:59,640 --> 00:42:05,240
Speaker 8: saw among college students, college Republicans and people even recently

869
00:42:05,280 --> 00:42:07,400
Speaker 8: out of college when it came to that question of

870
00:42:07,440 --> 00:42:10,360
Speaker 8: like was there something actually very exciting to them about

871
00:42:10,480 --> 00:42:13,239
Speaker 8: voting for Donald Trump. It's so unusual again just to

872
00:42:13,280 --> 00:42:15,680
Speaker 8: see that for the Republican candidate among young people. But

873
00:42:16,040 --> 00:42:17,800
Speaker 8: I get the sense that actually is what happened.

874
00:42:18,680 --> 00:42:20,759
Speaker 9: No, yeah, I mean it's incredibly unusual to me, you know,

875
00:42:20,800 --> 00:42:22,480
Speaker 9: as like a gen z Man on the left. I

876
00:42:22,680 --> 00:42:26,480
Speaker 9: was shocked when NBC ends up polling showed Trump, you know,

877
00:42:26,840 --> 00:42:28,680
Speaker 9: performing better among young men.

878
00:42:28,600 --> 00:42:29,280
Speaker 4: Than our candidate.

879
00:42:29,760 --> 00:42:31,840
Speaker 9: And I think the reason for this, I want to

880
00:42:31,920 --> 00:42:33,560
Speaker 9: kind of come back to my first point about how

881
00:42:33,600 --> 00:42:35,480
Speaker 9: I think, you know, Donald Trump and his team are

882
00:42:35,560 --> 00:42:39,239
Speaker 9: kind of successfully exploited, you know, the loneliness epidemic that

883
00:42:39,280 --> 00:42:42,160
Speaker 9: young men are facing. So you know, there's a lot

884
00:42:42,160 --> 00:42:44,600
Speaker 9: of different rabbit holes you can fall into kind of

885
00:42:44,719 --> 00:42:46,560
Speaker 9: when you're trying to in this search for a meeting.

886
00:42:46,600 --> 00:42:48,560
Speaker 9: And I kind of narrowed it down to like three

887
00:42:48,560 --> 00:42:51,000
Speaker 9: big ones. The first is kind of the whole self

888
00:42:51,000 --> 00:42:54,479
Speaker 9: help YouTuber or self help influencer whose whole business model

889
00:42:54,520 --> 00:42:56,600
Speaker 9: is predicated on you not getting self help. You know,

890
00:42:56,640 --> 00:43:00,920
Speaker 9: someone like Andrew Tate who pushed out hustlers un as

891
00:43:00,960 --> 00:43:03,000
Speaker 9: this kind of way to escape the matrix, and it

892
00:43:03,080 --> 00:43:06,239
Speaker 9: ended up just being a pyramid scheme where you're incentivius

893
00:43:06,239 --> 00:43:07,600
Speaker 9: to share it with more people and then he gets

894
00:43:07,640 --> 00:43:10,120
Speaker 9: a kind of the revenue. I think the second group

895
00:43:10,200 --> 00:43:13,839
Speaker 9: is kind of these largely a political but slightly light

896
00:43:13,880 --> 00:43:17,920
Speaker 9: reading right word leading kind of like conservative influencers, the

897
00:43:18,000 --> 00:43:20,080
Speaker 9: likes of like Aiden Ross Logan, Paul and I think

898
00:43:20,560 --> 00:43:23,640
Speaker 9: you can throw in, you know, just general conservative influencers

899
00:43:23,680 --> 00:43:26,120
Speaker 9: were also kind of entertainers, the likes of like Charlie Kirk,

900
00:43:26,960 --> 00:43:29,719
Speaker 9: seven Crowder, and then the last group kind of being

901
00:43:30,560 --> 00:43:33,480
Speaker 9: the one who those who kind of defied the system

902
00:43:33,480 --> 00:43:33,959
Speaker 9: as a whole.

903
00:43:34,120 --> 00:43:34,279
Speaker 2: Right.

904
00:43:34,320 --> 00:43:35,680
Speaker 4: I think your best example.

905
00:43:35,360 --> 00:43:38,120
Speaker 9: Is Joe Rogan, who you know, he can't be canceled

906
00:43:38,120 --> 00:43:40,279
Speaker 9: because his network is bigger than anyone who would try

907
00:43:40,280 --> 00:43:43,160
Speaker 9: to cancel him CNN. They've got twenty literally like one

908
00:43:43,239 --> 00:43:44,719
Speaker 9: twenty eighth of the viewership that he does.

909
00:43:45,120 --> 00:43:48,520
Speaker 8: And even Neil Jung and Johnny like they could Johnny

910
00:43:48,520 --> 00:43:50,960
Speaker 8: Mitchell couldn't cancel him when they got mad at Spotify

911
00:43:51,560 --> 00:43:53,080
Speaker 8: for oh no, yeah.

912
00:43:52,640 --> 00:43:55,640
Speaker 9: You literally can. And I think, honestly, I mean sidetracked.

913
00:43:55,640 --> 00:43:57,440
Speaker 9: But I think as Democrats, he'd accept that and actually

914
00:43:57,440 --> 00:44:00,920
Speaker 9: embrace his viewership. But I think think Donald Trump kind

915
00:44:00,920 --> 00:44:03,200
Speaker 9: of taps into all three of these different I guess

916
00:44:03,320 --> 00:44:05,719
Speaker 9: rabbit holes in such a perfect manner. You know, I

917
00:44:05,719 --> 00:44:08,200
Speaker 9: would argue he's like the self help influencer whose whole

918
00:44:08,440 --> 00:44:10,640
Speaker 9: business models predicated and you not getting self help. We

919
00:44:10,719 --> 00:44:13,320
Speaker 9: saw it with Trump University, which was I it was

920
00:44:13,320 --> 00:44:16,680
Speaker 9: starkly similar to you know, all these like Nie Pyramid

921
00:44:16,719 --> 00:44:18,520
Speaker 9: schemes that we've seen with like the likes of Andrew Tate.

922
00:44:19,360 --> 00:44:21,279
Speaker 9: He's obviously also kind of an entertainer, you know, we've

923
00:44:21,280 --> 00:44:23,640
Speaker 9: seen with The Apprentice, and his whole style is just entertaining,

924
00:44:23,719 --> 00:44:24,320
Speaker 9: and he's.

925
00:44:24,120 --> 00:44:25,600
Speaker 4: Defied the system.

926
00:44:25,680 --> 00:44:29,160
Speaker 9: There is no uh, you know, political precedent for Donald Trump,

927
00:44:29,239 --> 00:44:32,399
Speaker 9: and I think him kind of effectively tapping into these

928
00:44:32,520 --> 00:44:36,000
Speaker 9: three different realms are is what's resulted in him being

929
00:44:36,040 --> 00:44:37,120
Speaker 9: such a successful candidate.

930
00:44:37,239 --> 00:44:40,280
Speaker 1: That's such an insightful that's so insightful about Trump University.

931
00:44:40,280 --> 00:44:43,000
Speaker 1: I don't really in the Andrew Tate model being similar

932
00:44:43,280 --> 00:44:49,200
Speaker 1: in Trump University being version of that insightful those categories too. Yeah,

933
00:44:51,120 --> 00:44:52,560
Speaker 1: go ahead, Sanjay, you can finish a point.

934
00:44:52,719 --> 00:44:54,840
Speaker 9: No, yeah, But I think the point that I'm getting

935
00:44:54,840 --> 00:44:56,920
Speaker 9: at is like he they're successful in this regard, and

936
00:44:56,960 --> 00:44:59,520
Speaker 9: then us as Democrats, the best way that we can

937
00:44:59,560 --> 00:45:03,320
Speaker 9: combat this is to kind of combat traditional masculinity with

938
00:45:03,480 --> 00:45:05,640
Speaker 9: modern masculinity. But I think until we do that, we're

939
00:45:05,640 --> 00:45:08,520
Speaker 9: going to continue seeing young men kind of shift.

940
00:45:08,600 --> 00:45:11,520
Speaker 1: Right word I've been trying to figure out Hassan Piker

941
00:45:11,560 --> 00:45:13,920
Speaker 1: talks about how all of these it's kind of similar

942
00:45:13,960 --> 00:45:16,480
Speaker 1: to what you're saying, but how all of these spaces

943
00:45:16,920 --> 00:45:20,800
Speaker 1: for men have just become like right wing and so like,

944
00:45:21,160 --> 00:45:25,000
Speaker 1: if you want to get fit, the fitness influencers our

945
00:45:25,120 --> 00:45:27,319
Speaker 1: right wing. If you want to like the self help

946
00:45:27,400 --> 00:45:29,960
Speaker 1: like it's Jordan Peterson or Andrew Tait or whatever, like,

947
00:45:30,080 --> 00:45:32,279
Speaker 1: that's become right wing. If you're a gamer like that

948
00:45:32,440 --> 00:45:35,200
Speaker 1: pipeline is also right wing. If you're just like into

949
00:45:35,520 --> 00:45:38,280
Speaker 1: weird history and aliens and shit, it's like Joe Rogan

950
00:45:38,320 --> 00:45:40,800
Speaker 1: and that's also right way, you know. So is that

951
00:45:41,080 --> 00:45:43,279
Speaker 1: I'm just trying to figure out the chicken in the

952
00:45:43,320 --> 00:45:45,239
Speaker 1: egg scenario here, Like.

953
00:45:46,960 --> 00:45:48,239
Speaker 5: Did that I don't.

954
00:45:48,320 --> 00:45:51,160
Speaker 1: I don't know whether that was a response to where

955
00:45:51,200 --> 00:45:54,839
Speaker 1: young men are or whether young men were influenced by

956
00:45:54,840 --> 00:45:56,920
Speaker 1: the fact that all those spaces trended to the right,

957
00:45:57,000 --> 00:45:59,280
Speaker 1: you know what I'm getting at, Like which caused which.

958
00:46:00,440 --> 00:46:03,960
Speaker 9: Well, I think that this is largely oh to the

959
00:46:04,040 --> 00:46:06,160
Speaker 9: fact that his Democrats are always kind of on our

960
00:46:06,239 --> 00:46:08,400
Speaker 9: high horse and we're not willing to kind of go

961
00:46:08,480 --> 00:46:11,879
Speaker 9: into spaces that are somewhat antagonistic to us, and that's

962
00:46:11,960 --> 00:46:13,600
Speaker 9: kind of what's allowed the right to kind of have

963
00:46:13,719 --> 00:46:16,960
Speaker 9: a monopoly on the so called manosphere. So my advice

964
00:46:17,120 --> 00:46:20,120
Speaker 9: to Democrats me to do two things. One to enter

965
00:46:20,239 --> 00:46:22,200
Speaker 9: in these spaces. Get off your high horse and go

966
00:46:22,280 --> 00:46:24,320
Speaker 9: on Joe Rogan. I remember I was sitting in the

967
00:46:24,360 --> 00:46:26,799
Speaker 9: class scrolling through ground News and then when I saw

968
00:46:26,960 --> 00:46:28,839
Speaker 9: Donald Trump going on Joe Rogan, I was like, Oh crap,

969
00:46:28,960 --> 00:46:31,520
Speaker 9: this is not good. He's gonna get like a massive

970
00:46:31,560 --> 00:46:33,520
Speaker 9: viewership base, and that's care is gonna get none of this.

971
00:46:33,640 --> 00:46:35,719
Speaker 9: And it's like, So, I think the first thing is,

972
00:46:35,719 --> 00:46:38,239
Speaker 9: you know, we got to go into these spheres. And

973
00:46:38,360 --> 00:46:40,160
Speaker 9: I think not just Joe Rogan, but I think they

974
00:46:40,160 --> 00:46:42,200
Speaker 9: would break the internet if say, like Kamala Harris or

975
00:46:42,239 --> 00:46:44,440
Speaker 9: Tim Walls for example, did a live stream with like

976
00:46:44,480 --> 00:46:47,000
Speaker 9: Aiden Ross or Logan Paul, you know, because these are

977
00:46:47,080 --> 00:46:49,200
Speaker 9: largely eight political guys who don't really know much. But

978
00:46:49,239 --> 00:46:50,719
Speaker 9: I think if you go in there and make your case,

979
00:46:50,760 --> 00:46:54,080
Speaker 9: they'll hear you out. The second thing that I would,

980
00:46:54,239 --> 00:46:56,680
Speaker 9: you know, advise those that you know who are more

981
00:46:56,760 --> 00:46:59,759
Speaker 9: powerful than me and the party, would be to kind

982
00:46:59,760 --> 00:47:03,359
Speaker 9: of display a strong narrative that actually resonates with young men.

983
00:47:03,480 --> 00:47:05,239
Speaker 9: And I think the narrative that I would push is

984
00:47:06,280 --> 00:47:08,360
Speaker 9: a strong man stands up for himself, and a stronger

985
00:47:08,440 --> 00:47:10,200
Speaker 9: man stands up for others. And what I mean by

986
00:47:10,239 --> 00:47:12,799
Speaker 9: that is a strong man stands up for himself by

987
00:47:12,840 --> 00:47:14,759
Speaker 9: you know, eating healthy, taking care of his body, going

988
00:47:14,800 --> 00:47:16,879
Speaker 9: to the gym, but also taking care of his mind,

989
00:47:16,960 --> 00:47:19,920
Speaker 9: you know, going to therapy and being open with his emotions.

990
00:47:19,960 --> 00:47:22,600
Speaker 9: You know, it isn't weak to take the time to

991
00:47:23,120 --> 00:47:25,760
Speaker 9: grow as a person. It's actually strong to go against

992
00:47:25,800 --> 00:47:27,839
Speaker 9: the social norm of kind of having to man up

993
00:47:27,920 --> 00:47:31,480
Speaker 9: and suffocating your emotions, but also stand up for others

994
00:47:31,560 --> 00:47:35,920
Speaker 9: in the sense of championing LGPDQ rights, championing a woman's

995
00:47:35,960 --> 00:47:37,560
Speaker 9: right to choose for the women that are important in

996
00:47:37,600 --> 00:47:40,880
Speaker 9: your lives, you know, championing a greater minimum wage so

997
00:47:40,880 --> 00:47:43,680
Speaker 9: those who are less fortunate can you know, be able

998
00:47:43,719 --> 00:47:46,160
Speaker 9: to put food in the table. But also you know,

999
00:47:46,320 --> 00:47:50,239
Speaker 9: being able to support your family by or your loved

1000
00:47:50,280 --> 00:47:54,759
Speaker 9: ones or whoever, by going out there and being successful

1001
00:47:54,880 --> 00:47:57,840
Speaker 9: career wise. And I think we've got to you know,

1002
00:47:58,000 --> 00:48:00,279
Speaker 9: make this case of kind of the modern man, but

1003
00:48:00,360 --> 00:48:02,960
Speaker 9: also say that you know, we don't we just believe this.

1004
00:48:03,080 --> 00:48:04,080
Speaker 4: We're going to help you get there.

1005
00:48:04,200 --> 00:48:06,640
Speaker 1: Yeah, we have to be about boring. Like that's the

1006
00:48:06,719 --> 00:48:09,040
Speaker 1: thing is like Joe Roganen said out to like I'm

1007
00:48:09,080 --> 00:48:11,440
Speaker 1: going to riminge doctor. It was just like, you know,

1008
00:48:11,719 --> 00:48:14,040
Speaker 1: he's entertaining and people want to listen to it. And

1009
00:48:14,320 --> 00:48:16,960
Speaker 1: if you have some like Democrats can be like you said,

1010
00:48:17,040 --> 00:48:19,160
Speaker 1: kind of too high minded and stuffy, where it's like

1011
00:48:19,280 --> 00:48:20,360
Speaker 1: this is not entertaining.

1012
00:48:20,960 --> 00:48:21,160
Speaker 5: You know.

1013
00:48:21,560 --> 00:48:23,840
Speaker 8: Well, I mean that's my last question actually say is

1014
00:48:24,000 --> 00:48:26,440
Speaker 8: basically like that message.

1015
00:48:26,640 --> 00:48:27,520
Speaker 3: I think it makes sense.

1016
00:48:27,600 --> 00:48:30,200
Speaker 8: But are there ways that Democrats have to change their

1017
00:48:30,680 --> 00:48:33,360
Speaker 8: making of the message. I remember Nina Turner during the

1018
00:48:33,440 --> 00:48:37,320
Speaker 8: DNC saying that the Democratic Party feels too feminine for

1019
00:48:37,480 --> 00:48:40,759
Speaker 8: black men, that it's it feels like it's been totally feminized,

1020
00:48:41,000 --> 00:48:43,799
Speaker 8: and James Carvell has said something similar that for men,

1021
00:48:44,080 --> 00:48:47,279
Speaker 8: you know, it's almost like it would be unmanly for

1022
00:48:47,440 --> 00:48:50,440
Speaker 8: them to vote for Democrats. Just the way that the

1023
00:48:50,560 --> 00:48:53,120
Speaker 8: party messages on some of these issues, it's sort of

1024
00:48:53,520 --> 00:48:57,040
Speaker 8: it feels like it's it's undercutting masculinity. So how do

1025
00:48:57,360 --> 00:48:59,680
Speaker 8: Democrats make all of those cases about you know, what

1026
00:48:59,760 --> 00:49:02,360
Speaker 8: it means needs to be a strong man or for example,

1027
00:49:02,400 --> 00:49:04,960
Speaker 8: even on positions I would disagree with on you know,

1028
00:49:05,040 --> 00:49:09,160
Speaker 8: whether it's you know, you could take any issue immigration,

1029
00:49:09,360 --> 00:49:12,200
Speaker 8: anything like that, like, how do you make that message

1030
00:49:12,600 --> 00:49:15,719
Speaker 8: not feel you know, whether or not we agree it's

1031
00:49:15,800 --> 00:49:18,040
Speaker 8: it's feminine or feminized right now, how do you make

1032
00:49:18,080 --> 00:49:21,839
Speaker 8: it so it doesn't hit the average male voter as feminized.

1033
00:49:23,400 --> 00:49:24,719
Speaker 9: Well, I mean, I think it comes down to, like,

1034
00:49:24,840 --> 00:49:27,200
Speaker 9: you know, the narrative that I was mentioning just about

1035
00:49:27,239 --> 00:49:29,600
Speaker 9: strong man being someone who stands up for others. You know,

1036
00:49:29,680 --> 00:49:32,800
Speaker 9: I think for standing for a just and more just

1037
00:49:32,920 --> 00:49:36,080
Speaker 9: immigration system shouldn't be seen in feminine. I think, if anything,

1038
00:49:36,960 --> 00:49:40,040
Speaker 9: it is incredibly masculine, you know, to stand up for

1039
00:49:40,200 --> 00:49:43,280
Speaker 9: kind of the best interest of marginalized groups. And honestly,

1040
00:49:43,360 --> 00:49:45,399
Speaker 9: I think it's just a slight messaging issue. I think

1041
00:49:45,520 --> 00:49:47,560
Speaker 9: largely we're right on a lot of these issues across

1042
00:49:47,600 --> 00:49:49,959
Speaker 9: the board. But I think once Democrats are largely willing

1043
00:49:50,040 --> 00:49:53,000
Speaker 9: to kind of go into these mano spirit spheres and

1044
00:49:53,239 --> 00:49:54,239
Speaker 9: directly speak.

1045
00:49:54,000 --> 00:49:55,680
Speaker 4: To the concerns of young men, they'll be fine.

1046
00:49:56,320 --> 00:49:56,480
Speaker 3: You know.

1047
00:49:56,640 --> 00:49:57,960
Speaker 9: It's tough for me to kind of talk about like

1048
00:49:57,960 --> 00:49:59,719
Speaker 9: the feminization of the party because I feel like, as

1049
00:49:59,760 --> 00:50:02,520
Speaker 9: a guy who considers himself a feminist, I don't want

1050
00:50:02,560 --> 00:50:05,319
Speaker 9: to you know, tap in too deep and the kind

1051
00:50:05,360 --> 00:50:07,440
Speaker 9: of talk about something that I don't know if I

1052
00:50:07,480 --> 00:50:10,840
Speaker 9: have the credentials for but I think just at the

1053
00:50:10,960 --> 00:50:13,160
Speaker 9: very least, as long as we go into these spaces

1054
00:50:13,200 --> 00:50:16,440
Speaker 9: and directly make the case about uh, you know, kind

1055
00:50:16,440 --> 00:50:19,520
Speaker 9: of connecting these policies in a way that kind of

1056
00:50:19,560 --> 00:50:22,399
Speaker 9: helps us young men kind of go out and live

1057
00:50:22,560 --> 00:50:24,520
Speaker 9: kind of like the provider esque lives that we hope to,

1058
00:50:24,680 --> 00:50:25,719
Speaker 9: I think we'll be successful.

1059
00:50:25,760 --> 00:50:28,640
Speaker 1: Well, I think I think there's models. I mean, Bernie

1060
00:50:28,680 --> 00:50:31,520
Speaker 1: is the obvious model. No one felt like Bernie's campaign

1061
00:50:31,719 --> 00:50:33,680
Speaker 1: was like too fem. In fact, it was the opposite.

1062
00:50:33,719 --> 00:50:36,000
Speaker 1: It was Spears being way too BROI you know, and

1063
00:50:36,120 --> 00:50:39,040
Speaker 1: that was like, you know, that was used to tag

1064
00:50:39,320 --> 00:50:41,719
Speaker 1: all his supporters like your toxic and you hate women,

1065
00:50:41,760 --> 00:50:45,400
Speaker 1: blah blah blah. So he went out a way, that's right.

1066
00:50:45,480 --> 00:50:46,759
Speaker 1: He did go on like three, but he went on

1067
00:50:46,880 --> 00:50:49,240
Speaker 1: with Joe Rogan. He got Joe Rogan's sort of endorsement,

1068
00:50:49,320 --> 00:50:51,439
Speaker 1: and that was very controversial. But I mean I would

1069
00:50:51,480 --> 00:50:54,440
Speaker 1: also say Hassan Piker, you know, I mean, Hassan is

1070
00:50:54,560 --> 00:50:57,040
Speaker 1: very lefty and no one would code him as being

1071
00:50:57,200 --> 00:51:00,000
Speaker 1: like too fem And I would put my husband Kyleculants

1072
00:51:00,200 --> 00:51:02,400
Speaker 1: in that bucket too, and I think part of the

1073
00:51:02,520 --> 00:51:06,680
Speaker 1: problem is that Democrats, while Republicans are happy to go

1074
00:51:06,760 --> 00:51:08,719
Speaker 1: in any of these space you know, many of these

1075
00:51:08,760 --> 00:51:12,680
Speaker 1: spaces democrats don't, like, not even on our own, Like

1076
00:51:13,360 --> 00:51:17,160
Speaker 1: very few go on with Hassani's gigantic right. The only

1077
00:51:17,280 --> 00:51:19,600
Speaker 1: Democrat who basically will come on the show is Rokana,

1078
00:51:19,680 --> 00:51:22,040
Speaker 1: which kudos to him, but like there should be more,

1079
00:51:22,440 --> 00:51:25,000
Speaker 1: you know, and we're trying, you know, like even now

1080
00:51:25,200 --> 00:51:27,920
Speaker 1: after this whole reckoning about new media reach out to

1081
00:51:28,080 --> 00:51:32,920
Speaker 1: Senator Chris Murphy's office, crickets really crickets, yeah, and so

1082
00:51:34,200 --> 00:51:36,120
Speaker 1: so you know, it's not just they won't go on

1083
00:51:36,280 --> 00:51:38,880
Speaker 1: the like right wing coded spaces, they won't even go

1084
00:51:38,960 --> 00:51:40,480
Speaker 1: in the left wing coded spaces.

1085
00:51:42,000 --> 00:51:42,680
Speaker 5: What do you expect?

1086
00:51:42,840 --> 00:51:45,440
Speaker 1: And a lot like, you know, the audience here is

1087
00:51:45,520 --> 00:51:48,560
Speaker 1: disproportionally mail All the YouTube audiences are, whether they're on

1088
00:51:48,640 --> 00:51:51,160
Speaker 1: the left or the right, Kyle's audience is disproportionally mail

1089
00:51:51,560 --> 00:51:55,480
Speaker 1: Yit like all these spaces are disproportionately male. And they

1090
00:51:55,520 --> 00:51:58,239
Speaker 1: won't even go on, you know, the people who are

1091
00:51:58,560 --> 00:52:02,640
Speaker 1: more ideologically aligned with them because they know they won't

1092
00:52:02,719 --> 00:52:05,000
Speaker 1: just get like, you know, a shoulder massage the way

1093
00:52:05,040 --> 00:52:07,480
Speaker 1: they will from an MSNBC or a CNN.

1094
00:52:10,040 --> 00:52:10,080
Speaker 2: No.

1095
00:52:10,239 --> 00:52:11,920
Speaker 4: Yeah, I think I think you're splot on with that.

1096
00:52:12,080 --> 00:52:14,200
Speaker 9: I mean, I think that when you look at the

1097
00:52:14,200 --> 00:52:15,840
Speaker 9: future of the party, I look at Rocana, you know,

1098
00:52:15,920 --> 00:52:18,400
Speaker 9: I think he's one of advisors of College Democrats of

1099
00:52:18,440 --> 00:52:20,040
Speaker 9: America and the fact that he's willing to go on

1100
00:52:20,160 --> 00:52:23,280
Speaker 9: breaking points or just new media in general is testament

1101
00:52:23,360 --> 00:52:24,759
Speaker 9: to what to the future of the party is. And

1102
00:52:24,880 --> 00:52:27,400
Speaker 9: I think, you know, at this point, it's not a

1103
00:52:27,520 --> 00:52:29,920
Speaker 9: choice any you know, we saw what happened when we didn't,

1104
00:52:30,120 --> 00:52:32,000
Speaker 9: and now we're gonna have no choice but to let

1105
00:52:32,080 --> 00:52:34,759
Speaker 9: go of like these easy scripted conversations and actually go

1106
00:52:34,920 --> 00:52:37,880
Speaker 9: and you know, talk about what we really think. You know,

1107
00:52:38,000 --> 00:52:40,760
Speaker 9: I think I'm not the biggest fan of Joe Rogan's

1108
00:52:40,760 --> 00:52:42,800
Speaker 9: antics as a whole, but I do appreciate the medium.

1109
00:52:42,840 --> 00:52:45,160
Speaker 9: I think the medium of a three hour unscripted conversation

1110
00:52:45,320 --> 00:52:48,640
Speaker 9: is just good for democracy in general. And I would

1111
00:52:48,719 --> 00:52:50,719
Speaker 9: strongly hope that you know, those the top of the

1112
00:52:50,800 --> 00:52:54,560
Speaker 9: DNC embrace that sentiment and start pushing our candidates to

1113
00:52:54,920 --> 00:52:56,960
Speaker 9: be more authentic and be able to survive.

1114
00:52:56,760 --> 00:53:01,600
Speaker 1: Through hour long conversations Sunday really insight thoughts and comments

1115
00:53:01,600 --> 00:53:02,399
Speaker 1: from you this morning.

1116
00:53:02,480 --> 00:53:03,799
Speaker 5: Really grateful for your time.

1117
00:53:03,840 --> 00:53:06,400
Speaker 3: It's nice to meet you, to meet you as well.

1118
00:53:06,480 --> 00:53:07,680
Speaker 5: Thank you so much our pleasure.

1119
00:53:08,040 --> 00:53:10,960
Speaker 1: Sager did text Emily to weigh in on the Matt

1120
00:53:11,000 --> 00:53:13,960
Speaker 1: Gates pick. Of course, he said he wanted it to

1121
00:53:14,000 --> 00:53:16,440
Speaker 1: be registered that his biggest complaint about Matt Gates is

1122
00:53:16,520 --> 00:53:17,600
Speaker 1: that he is pro weed.

1123
00:53:18,040 --> 00:53:21,160
Speaker 3: So that sounds right. That sounds right for me.

1124
00:53:21,520 --> 00:53:23,880
Speaker 1: We should have just anticipated that take and it included

1125
00:53:23,920 --> 00:53:25,560
Speaker 1: it in the show yet anyway, I wanted to get

1126
00:53:25,600 --> 00:53:26,359
Speaker 1: that in here at the end.

1127
00:53:26,440 --> 00:53:29,960
Speaker 8: Also more inside baseball. Crystal fully took her microphone off.

1128
00:53:30,520 --> 00:53:31,040
Speaker 5: That was done.

1129
00:53:32,080 --> 00:53:35,879
Speaker 1: Wires hanging out, ready to get out of here.

1130
00:53:36,920 --> 00:53:39,279
Speaker 3: Was great though, that was He's really interesting. I liked

1131
00:53:39,320 --> 00:53:41,760
Speaker 3: his three buckets of same.

1132
00:53:42,040 --> 00:53:45,680
Speaker 1: Yeah, he really had thought like he had organized thoughts

1133
00:53:45,680 --> 00:53:48,239
Speaker 1: about this which were helpful. So think is always good

1134
00:53:48,239 --> 00:53:51,640
Speaker 1: to see someone from within the party apparatus who you know,

1135
00:53:51,719 --> 00:53:54,080
Speaker 1: the college Democrats are kind of a pipeline to bigger

1136
00:53:54,400 --> 00:53:58,360
Speaker 1: like party influence, et cetera. So I think we'll be

1137
00:53:58,400 --> 00:53:59,200
Speaker 1: seeing more of him.

1138
00:53:59,160 --> 00:54:00,920
Speaker 8: And you know we should also will say his friend

1139
00:54:01,120 --> 00:54:03,600
Speaker 8: was After we wrapped the interview, he showed us he

1140
00:54:03,719 --> 00:54:05,600
Speaker 8: moved his camera his friend was on the couch, So

1141
00:54:05,719 --> 00:54:07,719
Speaker 8: shout out to both of them, because they're both big

1142
00:54:07,880 --> 00:54:10,080
Speaker 8: fans of the show and have been watching you and

1143
00:54:10,160 --> 00:54:13,000
Speaker 8: Soccer all the way back to Rising, so shout out

1144
00:54:13,000 --> 00:54:14,840
Speaker 8: to them. It's always so fun when we have like

1145
00:54:15,280 --> 00:54:18,279
Speaker 8: very flat young Democrats or like young even people on

1146
00:54:18,320 --> 00:54:22,920
Speaker 8: the right. Ryan went to a gathering of young conservatives recently.

1147
00:54:22,640 --> 00:54:23,799
Speaker 5: And oh, realate him.

1148
00:54:24,120 --> 00:54:26,680
Speaker 3: Yeah, so he went with soccer. Actually, oh that's right.

1149
00:54:26,800 --> 00:54:29,839
Speaker 1: That was on election night, yes, yeah, yeah, because yeah,

1150
00:54:30,440 --> 00:54:32,560
Speaker 1: which is crazy to me because I was like so exhausted,

1151
00:54:32,640 --> 00:54:34,520
Speaker 1: but then I couldn't sleep, so I should have just done.

1152
00:54:34,360 --> 00:54:34,840
Speaker 5: Something like that.

1153
00:54:35,960 --> 00:54:37,720
Speaker 3: You may have gotten a different reception, Crystal.

1154
00:54:39,360 --> 00:54:40,040
Speaker 5: Yeah, among the.

1155
00:54:40,400 --> 00:54:41,160
Speaker 3: Right wing bros.

1156
00:54:42,840 --> 00:54:44,759
Speaker 8: And they're like, oh, this Ryan guy, he looks like

1157
00:54:44,880 --> 00:54:46,719
Speaker 8: he he looks like I got a beer with him.

1158
00:54:46,760 --> 00:54:51,439
Speaker 5: He's okay, this one don't know about her? Well sus Yeah, fair,

1159
00:54:51,640 --> 00:54:52,160
Speaker 5: fair enough.

1160
00:54:53,000 --> 00:54:55,600
Speaker 1: Well anyway, all right, guys, enjoy the weekend. Soccer will

1161
00:54:55,640 --> 00:54:58,359
Speaker 1: be back here for part of next week, and then

1162
00:54:58,440 --> 00:55:00,520
Speaker 1: we will have a lot more Emily and a lot

1163
00:55:00,560 --> 00:55:02,360
Speaker 1: more of them the Ladies.

1164
00:55:02,160 --> 00:55:03,560
Speaker 5: Show, So forward to Madam.

1165
00:55:03,680 --> 00:55:04,000
Speaker 3: That's right.

1166
00:55:04,080 --> 00:55:09,719
Speaker 5: It'll be a blast, alright, guys, see you soon, ka