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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. But enough with that,

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

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

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Speaker 1: What do we have personal indeed, we do truly a

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Speaker 1: jam packed show this morning, so hopefully we can get

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Speaker 1: through all of this. We've got a new Biden ad

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Speaker 1: hitting Trump for being a criminal. We've got Americans apparently

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Speaker 1: warming to the idea of mass deportation. Biden also preparing

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Speaker 1: a new executive order with regards to immigration. That's interesting

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Speaker 1: as well. CNN is officially announcing their debate criteria. It

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Speaker 1: seems tailor made and designed to guarantee no one but

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Speaker 1: Trump and Biden could possibly make the stage.

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Speaker 4: She'll break that down for you. We have New.

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Speaker 1: Jersey doing very new Jersey things, massive racketeering case against

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Speaker 1: one of the strongest power brokers in the state, so

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Speaker 1: lots is very interesting there.

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Speaker 4: CNN once again lying.

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Speaker 1: About the details of October seventh, and specifically the details

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Speaker 1: of mass rape on October seventh with regards to They

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Speaker 1: also brought on W. Wasserman Schultz for an assist. Kamala

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Speaker 1: Harra is doing an event where she's also lying, so

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Speaker 1: we want to break that down for you.

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Speaker 4: We have a.

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Speaker 1: Bombshell new report revealing that the Israeli government and the

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Speaker 1: IDF new specific details about the planning Baijamas for October

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Speaker 1: seventh in advance and did nothing to stop it. So

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Speaker 1: that is a massive bombshell here. But also of course

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Speaker 1: in Israel. Sager has a monologue. Maybe you should preview

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Speaker 1: it for us.

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Speaker 2: It's hard to It's basically, wells Fargo made the dumbest

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Speaker 2: deal of all time, and then a new minted billionaire

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Speaker 2: which decided to cover upseid deal and portray himself of

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Speaker 2: an innovator. It's an amazing story and people are really good.

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Speaker 1: I'm excited for this one. I'm excited to hear the

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Speaker 1: details on this one. And we've also got Matt Stoller

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Speaker 1: coming in to talk about his newport about how dramatically

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Speaker 1: different Trump's rhetoric with regards to businesses is now versus

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Speaker 1: twenty sixteen.

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Speaker 4: So very excited to talk to him about that.

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Speaker 2: Yes, that's right, before we get to that, the debates

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Speaker 2: are actually very soon. Can you guys even believe at

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Speaker 2: the very first CNN debate we're going to go over

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Speaker 2: some of the rigging that's involved in that with respect

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Speaker 2: to RFK Junior. But nonetheless we will be covering it

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Speaker 2: live here on the show. So if you want to

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Speaker 2: become a premium subscriber, you're going to be able to

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Speaker 2: have some exclusive benefits and more and input on that.

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Speaker 2: So Breakingpoints dot Com for the live presidential debates and

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Speaker 2: you can join us for our coverage. But with that,

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Speaker 2: let's go ahead and start with mister Trump.

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Speaker 1: Yes, indeed, so fresh off of we actually had those

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Speaker 1: exclusive word clouds revealing that in the wake of Trump's

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Speaker 1: guilty conviction, the number one word that people are associating

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Speaker 1: with him is the word criminal. Biden campaign leaning into

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Speaker 1: that with a new fifty million dollar add by across

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Speaker 1: battleground states pegging him as a criminal. Let's take a

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Speaker 1: listen to that.

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Speaker 5: The courtroom, we see Donald Trump for who he is.

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Speaker 5: He's been convicted of thirty four felonies, found liable for

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Speaker 5: sexual assault, and he committed financial fraud. Meanwhile, Joe Biden's

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Speaker 5: been working lowering healthcare costs and making big corporations pay

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Speaker 5: their fair share. This election is between a convicted criminal

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Speaker 5: who's only out for himself and a president who's fighting

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Speaker 5: for your family.

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Speaker 1: So, based on those word clause that we showed you before,

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Speaker 1: the American public basically feels this is an election between

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Speaker 1: a criminal and an old man. So the Biden campaign,

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Speaker 1: I think, given who Joe Biden is, given that he's

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Speaker 1: unwilling to actually run on like an affirmative economic agenda

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Speaker 1: or anything approximating that, given that he's unwilling to change

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Speaker 1: his wildly unpopular foreign policy, I think this is probably

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Speaker 1: one of the stronger things for them to lean into, here, Sager,

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Speaker 1: and really try to make that word criminal and Donald

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Speaker 1: Trump be the number one connection that people make in

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Speaker 1: their minds.

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Speaker 2: This is the twenty twenty two reducts where twenty twenty

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Speaker 2: two were subbing criminal in for stop the steal. What

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Speaker 2: they really both, you know, come to, is this idea

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Speaker 2: about what people hate the most about Trump about clearly

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Speaker 2: what we saw in our word cloud, the so called

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Speaker 2: criminal tag, you know, getting added for his name, the

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Speaker 2: convicted criminals, when they're gonna be putting on billboards. There's

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Speaker 2: a reason they're putting a lot of money behind this

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Speaker 2: ad I just saw, even though they're putting as much

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Speaker 2: as one hundred thousand dollars just on News Nation, you know.

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Speaker 2: I mean, they're doing adviys and throwing money everywhere behind

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Speaker 2: this thing.

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Speaker 3: And the main reason is that this is the best

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Speaker 3: that they got, you know.

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Speaker 2: I mean, if you look at the so called accomplishments

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Speaker 2: about lower it's like, yeah, okay, whatever, But it's not

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Speaker 2: really about his record. It's about driving up all the

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Speaker 2: negative towards Trump, and to be honest, that is the

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Speaker 2: best that they have. It's abortion and quote unquote democracy

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Speaker 2: when we pair for those who watch the show a lot.

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Speaker 2: If you look at our polling yesterday, the reason that

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Speaker 2: seniors are gravitating towards Biden is they like the status quote.

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Speaker 2: The reason that younger voters, Black, Hispanic voters and others

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Speaker 2: are graving towards Trump is they don't like the status quo.

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Speaker 2: So when you want to win over possibly more status

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Speaker 2: quo like minded voters who vote a lot seniors, you know,

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Speaker 2: much higher propensity. You want to lean into the things

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Speaker 2: that they care a lot about, like democracy, like a

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Speaker 2: trust in the justice system. You know, if you're under

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Speaker 2: forty years old, you really trust the justice system like

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Speaker 2: all that much. But if you're like sixty five plus

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Speaker 2: you said this yesterday, you have a real reverence for

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Speaker 2: like capitalized institutions in a very different way than most

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Speaker 2: people do.

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Speaker 1: Yeah, and a lot of that sense that you're describing

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Speaker 1: is much more based on vibes than it is reality,

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Speaker 1: which we know from the fact. Would talk to Stoler

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Speaker 1: about this. I mean, there's a big reason why Wall

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Speaker 1: Street is now shifting back towards Trump, getting comfortable to

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Speaker 1: with Trump. The reason why the Wall Street Journal editorial

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Speaker 1: board has been at war with the Biden administration, especially

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Speaker 1: with Lena Khan over his anti trust policies. That's been

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Speaker 1: a real thorn in their side. It has, you know,

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Speaker 1: undercut their ability to get gigantic bonuses every year.

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Speaker 4: So there is upset.

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Speaker 1: In the Wall Street crowd and in the billionaire crowd

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Speaker 1: about some of those policies. But you know, Trump of

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Speaker 1: course has and also by the way, it's also vibes

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Speaker 1: on the Democratic side about quote unquote preserving democracy, since

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Speaker 1: these are the people who were perfectly willing to destroy

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Speaker 1: democracy in their own primaries to guarantee that Joe Biden

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Speaker 1: once again ascended to the nomination in spite of the

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Speaker 1: fact that a majority of the Democratic base was like,

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Speaker 1: we would really like some other options. So let's just

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Speaker 1: be clear about what we're talking about here. But you know,

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Speaker 1: from the Biden campaign strategic perspective, we saw some pulling

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Speaker 1: a little while out a week, two weeks something like

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Speaker 1: that ago that said, Okay, if voters view this as

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Speaker 1: a referendum on Joe Biden, forget it, he's toast, it's over.

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Speaker 1: If they view it on as a referendum on Trump,

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Speaker 1: then he wins, and wins relatively easily. If they view

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Speaker 1: it as a choice between the two, it's really quite close.

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Speaker 1: It's a jump ball, I think, you know, one point

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Speaker 1: two point in either direction. And so they want to

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Speaker 1: push things as much as possible in the direction of

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Speaker 1: making this a referendum of Trump at best for them,

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Speaker 1: or at least a choice, because then they're in the ballgame.

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Speaker 1: And so, you know, the other advantage this narrative has

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Speaker 1: I mean, first of all, Cantoniet, he is a convicted

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Speaker 1: criminal at this point, so it has the benefit of

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Speaker 1: matching with reality. But negative attack ads always work best

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Speaker 1: when there's something that a you know, average viewer is

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Speaker 1: inclined to believe. And that's the other thing we've seen

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Speaker 1: about Trump. Whether or not it's changed people's votes, you know,

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Speaker 1: people a majority people do feel like he has committed crimes.

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Speaker 1: That he has committed the crimes that he was convicted

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Speaker 1: of and likely committed other crimes. So it's a tag

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Speaker 1: that fits, and I do think the more that they

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Speaker 1: can apply that label, it probably does inforb some theme

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Speaker 1: to their benefit. And you know, so that that makes

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Speaker 1: the argument that some of what's going on in the

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Speaker 1: you know, with the trial and the guilty verdict could

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Speaker 1: have an impact on the election. It was not the

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Speaker 1: total upending game changer that Democrats may have hoped, but

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Speaker 1: we do have some indications that this is an issue

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Speaker 1: for Independence and could shift them towards Joe Biden. But

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Speaker 1: the up on the screen, this is from Politico, So

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Speaker 1: you have twenty one percent of Independence saying that Trump's

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Speaker 1: conviction does matter to their vote. All right, that's you know,

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Speaker 1: that's not nothing. Again, I think people are kind of

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Speaker 1: bad really breaking down what matters to their vote. But

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Speaker 1: you've got a good number of independence here saying that

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Speaker 1: this is an issue for them. Let's put the next

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Speaker 1: one up on the screen. You have less than half

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Speaker 1: of respondence believing that Trump was prosecuted to help Biden.

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Speaker 1: So it's not a majority position. That being said, you have,

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Speaker 1: you know, forty three percent is not nothing that does

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Speaker 1: think that the prosecution was directly political and directly motivated

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Speaker 1: to try to help Joe Biden. And then just another

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Speaker 1: interesting note here, which is not really directly related to

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Speaker 1: the campaign, at least not yet. But let's put this

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Speaker 1: next piece up on the screen. Of the various pieces

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Speaker 1: of the legal system, the entity that people have the

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Speaker 1: least faith in is Supreme Court justices worthy. In the

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Speaker 1: context of the Trump guilty verdict, the entity or the

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Speaker 1: group that they have the most trust in is citizens

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Speaker 1: serving on jury. So the fact that you know, jury

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Speaker 1: of his peers found him guilty, I guess, isn't nothing.

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Speaker 1: You've got a majority of people fifty four percent, saying

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Speaker 1: that they have a great deal or a fair amount

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Speaker 1: of trust in citizens serving on Jury's so.

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Speaker 4: There you go. In terms of how people are what

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Speaker 4: people are making of the trial.

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Speaker 3: I don't know how I feel about that one. I'll

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Speaker 3: just put that aside. I look, iman served on a jury.

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Speaker 3: I think it's fair.

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Speaker 2: Maybe I would trust you. It depends on the county,

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Speaker 2: depends on the state. My hometown college station, I don't know.

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Speaker 4: You know, Simeon was actually mine was in Manhattan, Manhattan.

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Speaker 3: But you were federal grand jury. Yeah, no, it was local.

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Speaker 1: It was local Manhattan grand jury, and people buy and

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Speaker 1: large took it very seriously.

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Speaker 2: Well, yeah, maybe my bias is too colored here and

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Speaker 2: this has nothing to do with Trump. I've long been

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Speaker 2: very skeptical. I guess I would say, of what's going on,

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Speaker 2: I think what we can see from here is we

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Speaker 2: would have been stupid to say it was going to

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Speaker 2: have no impact. However, I still think it is relatively marginal.

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Speaker 2: That said, if it is marginal, it's gonna be marginal

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Speaker 2: in the Biden direction, and we shouldn't dismiss it because

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Speaker 2: this is the marginal election. If we look at the

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Speaker 2: five thirty eight polling average, you have the projection of

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Speaker 2: Trump winning fifty out of one hundred times and Biden

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Speaker 2: winning forty nine out of one hundred times. That's as

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Speaker 2: close as to a toss up as you can possibly get.

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Speaker 2: Donald Trump only lost the election by some one hundred

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Speaker 2: and fifty thousand votes across three separate states. Yesterday I

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Speaker 2: was doing a little bit of playing on the two

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Speaker 2: seventy to win website. I mean, we really need to

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Speaker 2: internalize this. Donald Trump can flip Nevada, he can win Georgia,

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Speaker 2: and he can win Arizona. But if he loses Wisconsin, Michigan,

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Speaker 2: and Pennsylvania, he will lose to Joe Biden, who will

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Speaker 2: get two hundred and seventy electoral votes to his two

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Speaker 2: sixty nine. I mean, that's it, that's all. It could

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Speaker 2: be a race towards So we could be talking about

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Speaker 2: the margins of tens of thousands of votes, or it

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Speaker 2: could be like the year two thousand and we could

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Speaker 2: be a couple thousand votes in some hanging chad nonsense,

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Speaker 2: you know, rules who actually get to take the White House.

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Speaker 2: So let's not dismiss the marginal in this respect. But

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Speaker 2: you know, I do still think electorally, the ones that

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Speaker 2: they really had going for them. The January sixth case

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Speaker 2: and the Georgia ones those because they're going to be

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Speaker 2: after the election. At least from what we can tell

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Speaker 2: at this point, what they were really hoping for has

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Speaker 2: not materialized.

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Speaker 1: Yeah, yeah, yeah, that's certainly the case. Let's go and

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Speaker 1: put this next piece up on the screen from the

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Speaker 1: Washington Post. We had an interesting, interesting report here, had

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Speaker 1: a lot of great quotes from voters a region, one

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Speaker 1: or two of these. But it's also interesting because you know,

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Speaker 1: we tend to have this that you can just leave

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Speaker 1: this up on the screen when I'm talking. We tend

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Speaker 1: to have this idea in the modern political era that

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Speaker 1: basically everyone is locked in deer are hard partisan divide

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Speaker 1: negative partisanship to we're just voting against the other side.

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Speaker 1: There are very few swing voters, et cetera. And you

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Speaker 1: know this indicates that's not really the case. You've got

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Speaker 1: sixty one percent of voters who are not saying that

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Speaker 1: they're definitely Biden, who are not saying that they're definitely Trump.

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Speaker 1: They are truly still weighing their options.

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Speaker 4: Now, this would.

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Speaker 1: Include people who say they're likely by likely Trump, They're

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Speaker 1: leaning one way or another, but they're not yet willing

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Speaker 1: to say I am one hundred percent riding with Biden

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Speaker 1: or I'm one hundred percent on the Trump train. And

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Speaker 1: I think that's that's really noteworthy into that mix. We

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Speaker 1: could put the next piece up on the screen. They

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Speaker 1: have this broken down. You've got amongst sporadic voters eighteen

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Speaker 1: to twenty five. That's eight percent voted in twenty sixteen

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Speaker 1: or twenty twenty, not both. You've got twenty four percent.

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Speaker 1: So you know, you've got a mix of types of

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Speaker 1: voters that fall into this category among uncommitted voters. So

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Speaker 1: if you break this down, okay, well, who are they

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Speaker 1: leaning towards? Probably Biden is thirteen percent, others seventeen percent,

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Speaker 1: Probably Trump is fifteen percent. So it's relatively mixed there

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Speaker 1: as well. So I guess this is all just a

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Speaker 1: long way of saying that, you know, this thing's very

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Speaker 1: much up in the air. As we discussed in yesterday's show,

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Speaker 1: you have a lot of people who just are really

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Speaker 1: unhappy with both candidates, don't feel like they have a

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Speaker 1: lot of great options, are you know, reluctant to kind

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Speaker 1: of commit because they just don't feel excited or happy

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Speaker 1: about the choices that they have. They interview this this

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Speaker 1: one woman Riki Denning. She says, by her own account,

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Speaker 1: she's torn up about the November election.

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Speaker 4: She's almost certain.

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Speaker 1: She'll cast about, but just might leave the presidential line blank.

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Speaker 1: She says, I just hate both of the candidates, and

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Speaker 1: there's no third party candidate that stands a chance. This

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Speaker 1: is a twenty six year old resident of Las Vegas.

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Speaker 1: Obviously Nevada, key swing state where Trump seems to have

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Speaker 1: made up a lot of ground he lost the state

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Speaker 1: last time, appears to be in the lead there by

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Speaker 1: some poles significant margin at this point, they say, forced

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Speaker 1: to choose between Biden and Trump, she said she would

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Speaker 1: lean toward Biden, then added, but I just don't agree

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Speaker 1: with him as president at all. Her dissatisfaction includes her

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Speaker 1: belief he is too old for another term, hasn't delivered

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Speaker 1: on a promise to eliminate her student loan debt, and

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Speaker 1: that he supports Israel in the war in the Gaza Strip.

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Speaker 1: So you know a host of issues there that, especially

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Speaker 1: for her age set, I think you would hear very

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Speaker 1: commonly in the dissatisfaction against Joe Biden. Now, if you're

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Speaker 1: a Biden person, soager you would look at that and say.

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Speaker 3: Yeah, I support all that She's.

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Speaker 4: Going to come alone.

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Speaker 1: Yeah, she's going to vote, and she's leaning towards Biden.

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Speaker 1: And at the end of the day, she's we're going

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Speaker 1: to convince her that you can't risk another Trump term.

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Speaker 1: She's aware that none of the third party candidates have

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Speaker 1: a you know, have a real chance, and so she's

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Speaker 1: this is the type of person we are going to

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Speaker 1: be able to persuade. And that's why the polls right

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Speaker 1: now don't really reflect our ultimate strength in November.

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Speaker 4: And listen, they may be right.

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Speaker 1: If I had to bet, who would you bet that

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Speaker 1: this person ultimately ends u voting for Yeah.

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Speaker 2: I mean, I don't want to be rude, but it's like, lady,

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Speaker 2: you're probably going to vote for Biden. And that's why

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Speaker 2: it's one of those where, uh, this is the difficulty

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Speaker 2: of the system really that we live in. But you

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Speaker 2: know some of the other data about who the quote

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Speaker 2: unquote deciders are more likely to be back black or

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Speaker 2: Hispanic and nondeciders. One third of deciders are non white,

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Speaker 2: compared to about fifth of other voters. Deciders are more

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Speaker 2: likely than non deciders to live in urban areas and

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Speaker 2: are more likely to have no religion. So this really

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Speaker 2: is like the new secular America. These are people who

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Speaker 2: are probably predominantly working class, just based on you know,

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Speaker 2: a purview of like a quick look at their demographic and.

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Speaker 3: That kind of tracks and makes sense to me.

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Speaker 2: I mean, these are the people who Trump in general

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Speaker 2: was able to activate or increasingly is bringing some people

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Speaker 2: over to a side who traditionally never would have voted Republican.

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Speaker 2: At the same time, the abortion issue is going to

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Speaker 2: wagh you down. If you are predominantly more secular, well

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Speaker 2: what are you going to do, Like, you're going to

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Speaker 2: be pretty upset about some of this Christian right stuff

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Speaker 2: that's going on. So it all depends on the media

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Speaker 2: that you're consuming and what you're looking at. And so again,

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Speaker 2: like when we look at this and we say that

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Speaker 2: the top issue here is the economy, but number two

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Speaker 2: is quote unquote threats to democracy. That's one of those

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Speaker 2: where when I see I could see the tie, I

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Speaker 2: could see fifty going towards Trump, and I could see

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Speaker 2: them going to Biden as well, which is why I'm

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Speaker 2: still just I cannot count Biden out despite all of

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Speaker 2: the bad news that we see. As Yeah, I never

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Speaker 2: want to bet against old white people in this country.

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Speaker 2: I'm just I know, you know, I live around these folks.

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Speaker 6: They love voting.

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Speaker 2: I mean, they've got obscure signs in their windows, and

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Speaker 2: I'm like, how do you even have time to give

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Speaker 2: a shit about who the you know, like deputy mayor

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Speaker 2: council is.

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Speaker 4: They're the people have the most time, and Christ, that's

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Speaker 4: what I'm saying.

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Speaker 3: They're posting signs all of our neighborhood.

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Speaker 2: They're trying to renew parking rules to only allow people

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Speaker 2: to park for two hours instead of four. I'm like,

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Speaker 2: who cares? Why do we care about this?

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Speaker 3: This is the biggest thing.

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Speaker 4: In their whole lives and the people his wife or

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Speaker 4: beefing with.

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Speaker 2: Literally they're lobbying against an apartment building nearby, and I

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Speaker 2: swear one of the posters says they're gonna flood nine

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Speaker 2: one one calls you can't make this stuff up in

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Speaker 2: terms of what they care about. But living around these folks,

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Speaker 2: I'm not counting them out.

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Speaker 3: They will vote. They will always vote. Oh yeah, no.

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Speaker 4: Doubt about that, No doubt about that.

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Speaker 1: Okay, Well, let's see if this next pole changes your

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Speaker 1: mind in terms of the other in terms of Biden's prospects.

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Speaker 4: Because this is a doozy. Put this up on the screen.

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Speaker 1: This is a poll of Iowa from the Des Moines Register.

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Speaker 1: This is Anne Selzer who does this poll. She is

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Speaker 1: the highest rated polster in like Nate Silver's ranking of

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Speaker 1: all the posters.

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Speaker 4: Okay, she's number one.

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Speaker 1: She is famous in political circles in terms of her

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Speaker 1: ability to closely predict the results of Iowa elections in particular. Now,

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Speaker 1: just keep this up on the street. No one is

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Speaker 1: saying that Joe Biden ever had a chance to win Iowa.

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Speaker 4: You know, it's crazy. Barack Obama one.

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Speaker 1: Iowa doesn't seem like that long ago, but the state

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Speaker 1: is trying to read. Democrats have given up on rural

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Speaker 1: America and so no one was expecting Joe Biden to

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Speaker 1: win Iowa. However, this poll has him clocking only thirty

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Speaker 1: two percent of the vote to Trump's fifty percent. RFK

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Speaker 1: Junior with a not insignificant nine percent, and other third

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Speaker 1: party candidates, you know, combining for another six percent. There,

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Speaker 1: so thirty two percent for Joe Biden this time around.

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Speaker 1: That would be if you extrapolate these type of numbers

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Speaker 1: across similarly situated Midwestern states like Wisconsin, for example, you're

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Speaker 1: looking at a bloodbath. Like so, the fact that some

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Speaker 1: of the best polsters like Ann Selzer, like New York

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Speaker 1: Times is considered a very highly rated polster as well,

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Speaker 1: the fact that some of the best polsters are coming

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Speaker 1: out with some of the worst results for Joe Biden

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Speaker 1: not a great sign for him.

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Speaker 3: Zager. Yeah.

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Speaker 2: Look, and that's the other side of the coin. That's

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Speaker 2: why I also can't count out Trump in this race.

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Speaker 2: I'm looking at this deswin rechiester Pole, the highest quality

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Speaker 2: poll allegedly in the entire nation. You take this, and

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Speaker 2: Trump was going to win Wisconsin by five points, which

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Speaker 2: is an insane position. So we are either in a

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Speaker 2: place where the highest quality polster in the US is

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Speaker 2: totally wrong, and you know there's gonna be some.

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Speaker 4: Well there's some huge shift which right now I'm.

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Speaker 2: Not on event or massive you know shift in between

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Speaker 2: now or uh Trump is going to win and it's like,

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Speaker 2: I don't know that said, we've seen enough craziness just

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Speaker 2: here at the desk that can't count it out.

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Speaker 3: Yeah.

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Speaker 1: Well, so, just to give people a sense of how

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Speaker 1: dramatic this is, last time Trump won the state, okay,

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Speaker 1: but it was fifty three forty five exactly fifty three

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Speaker 1: forty five, so an eight point margin versus this was

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Speaker 1: fifty what did I say, thirty two? I mean, if

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Speaker 1: we've seen that kind of a shift in these intervening years,

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Speaker 1: even in a state that isn't really in play, it's over.

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Speaker 3: It's over.

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Speaker 1: I mean, if this poll remains, if it's accurate, all

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Speaker 1: of that, this is dire. And keep in mind too,

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Speaker 1: I mean, listen, Iowa is a state filled with old

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Speaker 1: white people, Like this is the place where he was

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Speaker 1: supposedly this is the demographic among which he was supposedly

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Speaker 1: gaining ground where they're kind of betting the farm at

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Speaker 1: this point to you know, do better with seniors than

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Speaker 1: they did last time around, actually win the senior vote

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Speaker 1: first time in modern history, et cetera, et cetera. That's

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Speaker 1: the rationale for why they think the industrial Midwestern states,

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Speaker 1: the former like blue Wall states are their best bet

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Speaker 1: because they have more of an old white population than

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Speaker 1: the younger and more diverse Sun Belt states. But you know,

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Speaker 1: if this holds, it's it's looking pretty rough.

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Speaker 2: It's grim, yeah, I mean, our goal always to just

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Speaker 2: give you the ultimate like both sides of the coin

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Speaker 2: to not just be like, you should not walk around

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Speaker 2: and have any certainty whatsoever about this election.

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Speaker 1: I could genuinely see this election going in any direction.

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Speaker 1: I could see Biden winning all the swing states. I

437
00:20:49,840 --> 00:20:51,640
Speaker 1: could see Trump winning all the swing states. I could

438
00:20:51,680 --> 00:20:54,160
Speaker 1: see it being, you know, split in different weird ways

439
00:20:54,160 --> 00:20:57,000
Speaker 1: that were. I could see any result at this point,

440
00:20:57,080 --> 00:20:58,919
Speaker 1: just depending on the way the lens turns in that

441
00:20:58,960 --> 00:21:01,560
Speaker 1: given day. But in any case, that's the info we

442
00:21:01,600 --> 00:21:06,720
Speaker 1: have to bring to you today. We also could not

443
00:21:06,920 --> 00:21:08,399
Speaker 1: leave this one out with.

444
00:21:08,600 --> 00:21:09,359
Speaker 4: Some of the screen.

445
00:21:09,480 --> 00:21:15,760
Speaker 1: So just incredible Washington Brain. Here, incredible Washington Brain opinion

446
00:21:15,760 --> 00:21:19,920
Speaker 1: piece written by Kathleen Parker. Democrats are wrestling with an

447
00:21:20,000 --> 00:21:25,640
Speaker 1: age old problem. Maybe Hillary Clinton could come to the rescue.

448
00:21:26,040 --> 00:21:28,320
Speaker 1: And this piece is really funny. I read it yesterday

449
00:21:28,440 --> 00:21:32,919
Speaker 1: because it starts off with some solid analysis. It's like,

450
00:21:33,080 --> 00:21:35,800
Speaker 1: you know what, Biden's really old. That's a problem. Voters

451
00:21:35,800 --> 00:21:37,520
Speaker 1: have a problem with that. We can see him slow down.

452
00:21:37,520 --> 00:21:39,080
Speaker 1: It's not just spin. She wasn't trying to say it

453
00:21:39,119 --> 00:21:41,240
Speaker 1: was a medium whatever whatever. She's like, No, we can

454
00:21:41,280 --> 00:21:44,399
Speaker 1: see right. And part of the issue is that people

455
00:21:44,400 --> 00:21:45,679
Speaker 1: don't have faith in Kamala.

456
00:21:45,400 --> 00:21:46,240
Speaker 3: Harris's vice pride.

457
00:21:46,240 --> 00:21:48,240
Speaker 1: Okay, true, and she even made a point to say,

458
00:21:48,280 --> 00:21:50,440
Speaker 1: this isn't about our race or identity, it's just they

459
00:21:50,560 --> 00:21:53,480
Speaker 1: haven't seen her to be a competent actor. Okay, I'm

460
00:21:53,480 --> 00:21:58,080
Speaker 1: with you so far. Then the final analytical leap that is, just,

461
00:21:58,359 --> 00:22:00,600
Speaker 1: like I said, the most incredible example of belt Way brain.

462
00:22:00,680 --> 00:22:03,920
Speaker 1: And she says, so what they should do is drop

463
00:22:04,000 --> 00:22:09,440
Speaker 1: Kamala from the ticket and sub in Hillary Clinton. Now

464
00:22:09,520 --> 00:22:13,200
Speaker 1: I want to correct myself because I think on Monday,

465
00:22:13,320 --> 00:22:15,440
Speaker 1: I think I said that Joe Biden might be the

466
00:22:15,480 --> 00:22:18,679
Speaker 1: worst possible Democrat to have at the top of the ticket.

467
00:22:19,400 --> 00:22:22,399
Speaker 1: I don't think that's correct. I think Hillary Clinton would

468
00:22:22,440 --> 00:22:25,600
Speaker 1: be worse than Joe Biden from an electoral perspective. I

469
00:22:25,600 --> 00:22:30,119
Speaker 1: think she would actually be worse. So congratulations to this

470
00:22:30,240 --> 00:22:32,640
Speaker 1: calumnist for coming up with one of the worst ideas

471
00:22:32,640 --> 00:22:33,520
Speaker 1: I've literally ever heard.

472
00:22:33,640 --> 00:22:35,280
Speaker 2: No one has mentioned her as a possible running me

473
00:22:35,359 --> 00:22:37,199
Speaker 2: for Biden as far as I know, But why not

474
00:22:37,280 --> 00:22:39,560
Speaker 2: replace Harris with Clinton at seventy six?

475
00:22:39,680 --> 00:22:40,440
Speaker 3: She might want no.

476
00:22:40,400 --> 00:22:41,960
Speaker 2: Part of it, but it's hard to retire when you

477
00:22:41,960 --> 00:22:44,320
Speaker 2: feel your job isn't done. If Biden needs to step down,

478
00:22:44,359 --> 00:22:46,719
Speaker 2: even those who didn't vote for Clinton would have confidence

479
00:22:46,800 --> 00:22:50,040
Speaker 2: in her ability to keep the country on track.

480
00:22:50,160 --> 00:22:52,800
Speaker 3: Oh, it's just the thought. But worse ideas have you

481
00:22:53,080 --> 00:22:53,560
Speaker 3: dealt with?

482
00:22:53,680 --> 00:22:56,200
Speaker 1: Confident in her ability to keep the country on track.

483
00:22:56,320 --> 00:22:59,160
Speaker 2: Somebody, actually, some pro Clinton person, was like, this should

484
00:22:59,160 --> 00:23:01,359
Speaker 2: have been the last year of Hillary's presidence.

485
00:23:01,400 --> 00:23:03,840
Speaker 3: You know, Oh my god, thank god that didn't happen.

486
00:23:03,920 --> 00:23:05,119
Speaker 3: I mean, I can't imagine.

487
00:23:05,160 --> 00:23:09,280
Speaker 1: Okay, but also just I think on the most basic level, Okay,

488
00:23:09,800 --> 00:23:13,680
Speaker 1: the most basic level, this woman has a literal track

489
00:23:13,720 --> 00:23:15,160
Speaker 1: record of losing.

490
00:23:14,840 --> 00:23:15,600
Speaker 4: To Donald Trump.

491
00:23:15,880 --> 00:23:17,879
Speaker 1: So if you're trying to solve the problem, just the

492
00:23:17,920 --> 00:23:20,119
Speaker 1: discrete problem of like, we want to beat Donald Trump

493
00:23:20,160 --> 00:23:22,000
Speaker 1: and we don't think this is the ticket that's really

494
00:23:22,000 --> 00:23:24,240
Speaker 1: designed to do that, why do you reach to the

495
00:23:24,240 --> 00:23:27,000
Speaker 1: person who already lost to him.

496
00:23:27,320 --> 00:23:31,720
Speaker 2: It's amazing who is arguably less, you know, less popular

497
00:23:31,800 --> 00:23:36,000
Speaker 2: than Kamala Harris in terms of her negatives, like for unfavorables. Yes,

498
00:23:36,119 --> 00:23:40,440
Speaker 2: we showed everybody a graphic yesterday. The hate both parties

499
00:23:41,000 --> 00:23:43,720
Speaker 2: the highest it's ever been was this year, this election.

500
00:23:43,800 --> 00:23:47,080
Speaker 2: Guess what the previous hire it's ever been Hillary. It's like,

501
00:23:47,440 --> 00:23:50,280
Speaker 2: why would you pick somebody who explicitly is hated by

502
00:23:50,280 --> 00:23:53,359
Speaker 2: so much of the public that said Hillary's not going away.

503
00:23:53,760 --> 00:23:57,760
Speaker 2: She raising some eyebrows, made a surprise appearance at the

504
00:23:57,840 --> 00:23:58,640
Speaker 2: Tony Awards.

505
00:23:58,760 --> 00:24:00,879
Speaker 3: Let's take a listen, great evening.

506
00:24:05,440 --> 00:24:08,080
Speaker 7: I have stood on a lot of stages, but this

507
00:24:08,280 --> 00:24:13,359
Speaker 7: is very special, and I know a little bit about

508
00:24:13,400 --> 00:24:18,560
Speaker 7: how hard it is to make change. So I'm extremely

509
00:24:18,760 --> 00:24:24,800
Speaker 7: proud of this original American musical by Shana Taub.

510
00:24:24,960 --> 00:24:27,080
Speaker 3: And of course it is about.

511
00:24:27,800 --> 00:24:34,200
Speaker 7: Some American originals, the suffragists, who fought so valiantly for

512
00:24:34,280 --> 00:24:38,280
Speaker 7: so long to give women in our country the right

513
00:24:38,400 --> 00:24:42,960
Speaker 7: to vote. It's almost impossible to think about what a

514
00:24:43,200 --> 00:24:46,800
Speaker 7: challenge that was. But now it's an election year and

515
00:24:46,840 --> 00:24:49,720
Speaker 7: we need to be reminded about how important it is

516
00:24:49,800 --> 00:24:50,560
Speaker 7: to vote.

517
00:24:50,960 --> 00:24:53,280
Speaker 1: You know, she may want to take those words back,

518
00:24:53,320 --> 00:24:56,080
Speaker 1: given that we just covered the fact that are going

519
00:24:56,119 --> 00:24:57,560
Speaker 1: to Republicans.

520
00:24:56,880 --> 00:24:59,959
Speaker 3: So that's right. Look, I don't know everyone.

521
00:25:00,320 --> 00:25:02,920
Speaker 2: I think it's generally like low IQ nonsense when they're

522
00:25:02,920 --> 00:25:05,320
Speaker 2: like they're going to replace Michelle, They're going to replace

523
00:25:05,520 --> 00:25:07,560
Speaker 2: and so I don't think that's gonna happen unless Biden

524
00:25:07,720 --> 00:25:10,320
Speaker 2: literally dies like dies or has a debilitating stoke. And

525
00:25:10,359 --> 00:25:13,800
Speaker 2: I hope that doesn't happen. But with Hillary, I don't know.

526
00:25:13,920 --> 00:25:17,440
Speaker 2: She's always positioning herself. She's always working in the angles.

527
00:25:17,520 --> 00:25:20,640
Speaker 2: That's like the Clinton m O. And she's ready. She's

528
00:25:20,720 --> 00:25:24,639
Speaker 2: there if she wants to assume. So maybe that's the calculus.

529
00:25:24,640 --> 00:25:26,639
Speaker 2: Maybe she enjoys I don't know, she.

530
00:25:26,640 --> 00:25:29,440
Speaker 1: Wants a cabinet position the next time around. Oh my god,

531
00:25:29,920 --> 00:25:30,760
Speaker 1: would you put it out?

532
00:25:30,960 --> 00:25:33,600
Speaker 2: Yeah, that's yeah. You imagine we get her back in

533
00:25:33,640 --> 00:25:35,400
Speaker 2: the cabinet. That'd be a nightmare.

534
00:25:35,480 --> 00:25:37,520
Speaker 4: Yeah, I mean, I don't know.

535
00:25:38,000 --> 00:25:39,960
Speaker 1: The ticket is what it is like all this the

536
00:25:40,000 --> 00:25:43,440
Speaker 1: fantasy I've our position on this show has always been

537
00:25:43,680 --> 00:25:46,240
Speaker 1: that Joe Biden is going to be you know, is

538
00:25:46,320 --> 00:25:47,040
Speaker 1: not going to leave.

539
00:25:47,359 --> 00:25:47,639
Speaker 8: He is.

540
00:25:48,080 --> 00:25:51,240
Speaker 1: There's no you know back room where they're plotting this

541
00:25:51,359 --> 00:25:54,359
Speaker 1: up himount for Michelle Obama or you know Ryan's idea

542
00:25:54,359 --> 00:25:56,240
Speaker 1: they're gonna put in Barack Obama on the ticket with

543
00:25:56,280 --> 00:25:58,760
Speaker 1: them or whatever. Like Ryan doesn't think that's going to happen.

544
00:25:58,760 --> 00:26:00,600
Speaker 1: He's just saying they actually want to win. That would

545
00:26:00,600 --> 00:26:03,399
Speaker 1: be a smart maneuver. None of that is, None of

546
00:26:03,400 --> 00:26:05,760
Speaker 1: that is happening. This is the ticket. You know, it's

547
00:26:05,800 --> 00:26:07,760
Speaker 1: not gonna be Hillary it's not gonna be Michelle Obama.

548
00:26:07,760 --> 00:26:10,119
Speaker 1: That's the weird Conservatives are obsessed with this idea that

549
00:26:10,119 --> 00:26:14,400
Speaker 1: they plot weird to sub in Michelle Obama. And yeah,

550
00:26:14,520 --> 00:26:16,200
Speaker 1: you know that. I think you guys have a lot

551
00:26:16,200 --> 00:26:19,840
Speaker 1: more confidence and like the desire of the Democratic Party

552
00:26:19,880 --> 00:26:21,679
Speaker 1: to actually win than you should have.

553
00:26:21,880 --> 00:26:24,119
Speaker 4: So in any case, that's where we are.

554
00:26:24,240 --> 00:26:26,240
Speaker 3: That's right. Oh and one other thing we want to

555
00:26:26,280 --> 00:26:27,879
Speaker 3: get in here this day. Driving me nuts.

556
00:26:27,880 --> 00:26:31,639
Speaker 2: The White House spin on the Biden videos is they've

557
00:26:31,760 --> 00:26:35,520
Speaker 2: convented a new term. So you Chris will remember misinformation

558
00:26:35,640 --> 00:26:39,840
Speaker 2: that you know, took over everything, then industry, Yeah, misinformation,

559
00:26:39,920 --> 00:26:43,640
Speaker 2: then disinformation, right, then there was malinformation. Malinformation is video

560
00:26:43,840 --> 00:26:46,240
Speaker 2: is information that is true but it's bad information or

561
00:26:46,280 --> 00:26:49,359
Speaker 2: it's not complete. So you guys will remember the term

562
00:26:49,440 --> 00:26:49,960
Speaker 2: deep fake.

563
00:26:50,080 --> 00:26:50,240
Speaker 3: Right.

564
00:26:50,440 --> 00:26:52,320
Speaker 2: So now the White House is done is they have

565
00:26:52,440 --> 00:26:55,360
Speaker 2: coined a new term served up by their media masters

566
00:26:55,520 --> 00:26:57,760
Speaker 2: and they're working together called cheap fake, where it is

567
00:26:57,800 --> 00:27:00,960
Speaker 2: a video that they don't like and doesn't for both podcasts.

568
00:27:01,200 --> 00:27:02,400
Speaker 3: So we have a video.

569
00:27:02,320 --> 00:27:05,359
Speaker 2: Here of the White House talking about how angry they

570
00:27:05,359 --> 00:27:09,359
Speaker 2: are about these videos showing Biden being old, and they're like,

571
00:27:09,480 --> 00:27:10,760
Speaker 2: this is so out of context.

572
00:27:10,840 --> 00:27:12,440
Speaker 3: This is outrageous. Let's take a list.

573
00:27:12,600 --> 00:27:17,000
Speaker 9: Ironically, several recent chief fakes actually attack the president for

574
00:27:17,160 --> 00:27:20,480
Speaker 9: thanking troops, for thinking troops. That is what they are

575
00:27:20,520 --> 00:27:23,960
Speaker 9: attacking the president for. Both in Normandy this happened and

576
00:27:24,040 --> 00:27:27,479
Speaker 9: again in Italy. And I think that it tells you

577
00:27:27,560 --> 00:27:32,320
Speaker 9: everything that we need to know about how desperate, how

578
00:27:32,359 --> 00:27:37,199
Speaker 9: desperate Republicans are here. And instead of talking about the

579
00:27:37,240 --> 00:27:39,760
Speaker 9: President's performance in office, and what I mean by that

580
00:27:39,880 --> 00:27:42,400
Speaker 9: is his legislative wins, what he's been able to do

581
00:27:42,480 --> 00:27:45,440
Speaker 9: for the American people across the country, we're seeing these

582
00:27:45,480 --> 00:27:50,560
Speaker 9: deep fakes, these manipulated videos, and it is again done

583
00:27:50,760 --> 00:27:51,520
Speaker 9: in bad faith.

584
00:27:51,880 --> 00:27:53,760
Speaker 2: Deep fake they changed that, by the way, because they

585
00:27:53,760 --> 00:27:56,399
Speaker 2: didn't understand what the term. So there's this guy, Andrew Bates.

586
00:27:56,440 --> 00:27:58,600
Speaker 2: If anyone has Twitter, I encourage you go to go

587
00:27:58,680 --> 00:28:01,120
Speaker 2: and follow him. His entire fear is trying to debunk

588
00:28:01,200 --> 00:28:04,280
Speaker 2: these Biden age videos. And yeah, and she works with

589
00:28:04,280 --> 00:28:05,920
Speaker 2: the White House. You know, he works at the White House.

590
00:28:05,960 --> 00:28:08,360
Speaker 2: That's his whole job is just out here and he's

591
00:28:08,359 --> 00:28:10,640
Speaker 2: like cheap fake, cheap, fake chip, deep fake cheap. These

592
00:28:10,640 --> 00:28:16,040
Speaker 2: people have no sense of reality what this is. So anyway,

593
00:28:16,880 --> 00:28:17,600
Speaker 2: keep an eye out.

594
00:28:17,720 --> 00:28:18,520
Speaker 3: You heard it here first.

595
00:28:18,640 --> 00:28:22,600
Speaker 2: Cheap fake is the new misinformation, disinformation, whatever, that's what

596
00:28:22,640 --> 00:28:23,719
Speaker 2: they have to come up with.

597
00:28:23,800 --> 00:28:26,679
Speaker 4: And she was specifically responding to the video play.

598
00:28:26,880 --> 00:28:29,400
Speaker 3: Yes, in full context, by the way, show everybody play

599
00:28:29,440 --> 00:28:30,000
Speaker 3: the whole video.

600
00:28:30,080 --> 00:28:32,480
Speaker 1: Yeah, but yeah, like you said, and so even to

601
00:28:32,560 --> 00:28:34,399
Speaker 1: call it a deep fake, is it autrageous?

602
00:28:34,560 --> 00:28:36,800
Speaker 4: That word has a meaning. Yes, The meaning is that

603
00:28:36,880 --> 00:28:38,720
Speaker 4: it's actually altered, right, and.

604
00:28:38,760 --> 00:28:43,880
Speaker 2: It's fundamentally we said manipulated. That's not manipulated video. Okay,

605
00:28:43,920 --> 00:28:46,640
Speaker 2: you could say it wasn't clipped right out of context.

606
00:28:46,680 --> 00:28:49,560
Speaker 2: You know, words half meaning the actually do not to

607
00:28:49,600 --> 00:28:52,480
Speaker 2: these folks. So anyway, cheap fake, you guys heard it here.

608
00:28:52,600 --> 00:28:55,800
Speaker 2: That's the new mal information. Just wait, you're gonna see

609
00:28:55,840 --> 00:28:58,200
Speaker 2: it everywhere. I already do Google chief fake. This morning,

610
00:28:58,520 --> 00:29:02,080
Speaker 2: Washington Post stories citing the cheap fake PolitiFact, cheap fake

611
00:29:02,200 --> 00:29:03,880
Speaker 2: videos of Joe Biden.

612
00:29:03,920 --> 00:29:07,120
Speaker 3: It's everywhere. It's this is the new media that we

613
00:29:07,160 --> 00:29:07,400
Speaker 3: live in.

614
00:29:07,840 --> 00:29:10,880
Speaker 1: Just flasting on this. It would be one thing. You

615
00:29:10,960 --> 00:29:13,040
Speaker 1: might have some credibility to say that if it was

616
00:29:13,080 --> 00:29:16,800
Speaker 1: one moment, thank you, Yeah, who played you multiple just yesterday,

617
00:29:16,800 --> 00:29:19,960
Speaker 1: We've played you multiple moments that are you know him

618
00:29:20,000 --> 00:29:24,480
Speaker 1: wandering him, dazed him confused, doing weird you know head

619
00:29:24,480 --> 00:29:28,440
Speaker 1: thing with the pope Like anyway, people, we're not stupid.

620
00:29:28,360 --> 00:29:32,120
Speaker 2: Like that behind the wheel, squint that way change land change.

621
00:29:32,160 --> 00:29:34,920
Speaker 1: Even Democrats the number one word they associated.

622
00:29:34,160 --> 00:29:36,720
Speaker 3: Yeah, yeah, okay, okay, that's reality.

623
00:29:36,760 --> 00:29:37,720
Speaker 4: Thank You's not a cheap fake.

624
00:29:40,360 --> 00:29:43,040
Speaker 2: This is a big electoral issue, So economy number one.

625
00:29:43,040 --> 00:29:45,120
Speaker 2: We've seen a lot of the polling sometimes immigration this

626
00:29:45,280 --> 00:29:48,560
Speaker 2: now immigration at the very least number two, genuinely number

627
00:29:48,600 --> 00:29:51,640
Speaker 2: one for GOP voters. There's been some interesting shifts in

628
00:29:51,760 --> 00:29:54,480
Speaker 2: coalitions to put this up there on the screen. This

629
00:29:54,640 --> 00:29:57,760
Speaker 2: was a new poll from the CBS You Go America

630
00:29:57,800 --> 00:30:00,400
Speaker 2: that is conducted June five to June of it and

631
00:30:00,480 --> 00:30:04,800
Speaker 2: actually asks about mass deportation. So it says a majority

632
00:30:04,840 --> 00:30:08,160
Speaker 2: of registered voters favor a quote new national program to

633
00:30:08,240 --> 00:30:12,479
Speaker 2: depart all quote his words, undocumented immigrants currently living in

634
00:30:12,480 --> 00:30:16,240
Speaker 2: the US illegally, sixty two to thirty eight percent. But

635
00:30:16,320 --> 00:30:19,280
Speaker 2: the real shock, I guess to the people here in

636
00:30:19,320 --> 00:30:22,840
Speaker 2: the media is that even among Hispanics, a majority of

637
00:30:22,880 --> 00:30:27,600
Speaker 2: them now favor mass deportation at fifty three to forty seven.

638
00:30:27,800 --> 00:30:29,800
Speaker 2: Let's go to the next part here, because this has

639
00:30:29,840 --> 00:30:32,880
Speaker 2: been an interesting trend that in the last month or

640
00:30:32,920 --> 00:30:36,520
Speaker 2: so has really began to materialize where the share of

641
00:30:36,600 --> 00:30:40,480
Speaker 2: Americans who say that they support mass deportation has basically

642
00:30:40,520 --> 00:30:43,200
Speaker 2: exploded over the last four years. So you can see

643
00:30:43,200 --> 00:30:45,680
Speaker 2: there that the top general public number is at fifty

644
00:30:45,680 --> 00:30:47,160
Speaker 2: one percent. This poll is from a month ago, just

645
00:30:47,200 --> 00:30:49,000
Speaker 2: by the way, and then we look at it by

646
00:30:49,080 --> 00:30:51,640
Speaker 2: race and ethnicity. In this one they found it was

647
00:30:51,680 --> 00:30:54,200
Speaker 2: fifty six percent of whites, forty five percent of Latinos,

648
00:30:54,200 --> 00:30:56,680
Speaker 2: and forty percent of Black Americans. But if you look

649
00:30:56,720 --> 00:31:00,320
Speaker 2: at political affiliation, you have sixty eight percent Republican, forty

650
00:31:00,360 --> 00:31:04,440
Speaker 2: six percent Independent, forty two percent Democrat, and then generationally

651
00:31:04,480 --> 00:31:07,000
Speaker 2: there is a massive split. You have Boomers at sixty,

652
00:31:07,320 --> 00:31:10,080
Speaker 2: gen X at fifty three, Millennials at forty eight, and

653
00:31:10,080 --> 00:31:13,320
Speaker 2: then gen Z at thirty five. So generationally there is

654
00:31:13,360 --> 00:31:15,479
Speaker 2: a big split. But Crystal, I think that this is

655
00:31:15,600 --> 00:31:20,000
Speaker 2: really over is upturning a lot of the ways that

656
00:31:20,040 --> 00:31:23,320
Speaker 2: we're watching kind of the media and everybody else grapple

657
00:31:23,680 --> 00:31:27,880
Speaker 2: with this young and Hispanic move towards Trump, and specifically

658
00:31:27,920 --> 00:31:32,280
Speaker 2: also amongst Black Americans. Immigration politics has been flipped over

659
00:31:32,680 --> 00:31:35,400
Speaker 2: really on its head, where it's both that the you know,

660
00:31:35,480 --> 00:31:37,640
Speaker 2: first of all, the migrant situation today is just so

661
00:31:37,720 --> 00:31:40,800
Speaker 2: out of control that, you know, to any previous situation

662
00:31:40,920 --> 00:31:44,280
Speaker 2: kind of I use the Marx term heightened the contradictions

663
00:31:44,440 --> 00:31:47,000
Speaker 2: in terms of people really kind of had to choose

664
00:31:47,000 --> 00:31:50,760
Speaker 2: a sign. But second and foremost, the identitarian view that

665
00:31:50,840 --> 00:31:52,800
Speaker 2: you could just rely on Hispanics to vote for you

666
00:31:53,240 --> 00:31:56,280
Speaker 2: because you were like pro Daca or whatever. That's gone.

667
00:31:56,600 --> 00:31:59,840
Speaker 2: Those ages are totally gone. Trump obviously broke that in

668
00:32:00,080 --> 00:32:01,800
Speaker 2: twenty twenty. But I mean, to me, it's just such

669
00:32:01,800 --> 00:32:04,520
Speaker 2: a titanic shift in the way that people are even

670
00:32:04,640 --> 00:32:09,440
Speaker 2: approaching the immigrant situation, the migrant situation, and then this

671
00:32:09,600 --> 00:32:13,040
Speaker 2: blows identitarianism like out of the water, and people are people.

672
00:32:13,040 --> 00:32:15,880
Speaker 2: I've seen democratic elites responding to the district being like,

673
00:32:16,080 --> 00:32:19,520
Speaker 2: what happened. It's like, well, you know, Trump happened, Honestly,

674
00:32:20,240 --> 00:32:21,880
Speaker 2: rhetoric happened, policy happened.

675
00:32:21,880 --> 00:32:23,360
Speaker 3: There's been a lot of stuff that's been happening.

676
00:32:23,400 --> 00:32:25,200
Speaker 1: Well, I think I think there's a lot of things

677
00:32:25,240 --> 00:32:27,480
Speaker 1: that go into this. First of all, your right to

678
00:32:27,520 --> 00:32:30,000
Speaker 1: note that the biggest divide is not there is a

679
00:32:30,120 --> 00:32:33,440
Speaker 1: race divide. Yeah, but the biggest divide is actually age,

680
00:32:33,760 --> 00:32:34,200
Speaker 1: not race.

681
00:32:34,280 --> 00:32:34,880
Speaker 3: It's all age.

682
00:32:34,960 --> 00:32:36,520
Speaker 4: So you have older people.

683
00:32:36,560 --> 00:32:40,280
Speaker 1: Who are you know, increasingly hardline on immigration, and younger

684
00:32:40,320 --> 00:32:44,800
Speaker 1: people are still, you know, in the same more open

685
00:32:45,800 --> 00:32:50,000
Speaker 1: and open to increased immigration as they were, say four

686
00:32:50,080 --> 00:32:53,760
Speaker 1: years ago, back when the whole Democratic Party was embracing

687
00:32:53,800 --> 00:32:58,520
Speaker 1: that position in opposition to Trump. So I think number one,

688
00:32:59,080 --> 00:33:01,040
Speaker 1: you do have, you know, just a reality of an

689
00:33:01,280 --> 00:33:03,320
Speaker 1: increased number of migrants. Now that has actually gone down

690
00:33:03,360 --> 00:33:06,160
Speaker 1: over the past couple of months, but notwithstanding, there has

691
00:33:06,200 --> 00:33:09,640
Speaker 1: been undoubtedly a large surge of migrants in the Joe

692
00:33:09,880 --> 00:33:12,080
Speaker 1: under the Joe Biden administration. So that's number one. You

693
00:33:12,120 --> 00:33:14,360
Speaker 1: do have reality of Okay, there's a lot of people

694
00:33:14,360 --> 00:33:16,600
Speaker 1: coming in, what are we going to do? Number two,

695
00:33:17,080 --> 00:33:20,640
Speaker 1: you have an increasing sense of economic anxiety that if

696
00:33:20,680 --> 00:33:25,280
Speaker 1: you look throughund history often pairs with increased views hardline

697
00:33:25,360 --> 00:33:26,600
Speaker 1: views on immigration.

698
00:33:26,720 --> 00:33:27,320
Speaker 3: So you've got that.

699
00:33:27,800 --> 00:33:29,680
Speaker 1: But I also think really critical to this is the

700
00:33:29,720 --> 00:33:33,200
Speaker 1: fact that I mentioned before Democrats under the Trump administration

701
00:33:33,920 --> 00:33:37,880
Speaker 1: they were very oppositional to the Trump immigration positioning. Now

702
00:33:37,960 --> 00:33:42,680
Speaker 1: they're trying to position themselves as immigration hardliners. The overwhelming

703
00:33:42,680 --> 00:33:46,840
Speaker 1: majority of Democratic elites, starting with Joe Biden, and so

704
00:33:46,920 --> 00:33:50,120
Speaker 1: you basically have both parties making a very similar argument

705
00:33:50,480 --> 00:33:53,840
Speaker 1: about immigration. So I'd be curious to see I would

706
00:33:53,840 --> 00:33:57,640
Speaker 1: bet that the bulk of the movement in openness to

707
00:33:57,720 --> 00:34:01,360
Speaker 1: policies such as this actually comes from Democrats, because you've

708
00:34:01,360 --> 00:34:04,840
Speaker 1: got forty two percent of Democrats here in that Axios

709
00:34:04,880 --> 00:34:07,840
Speaker 1: poll saying that they're open to quote unquote mass deportation

710
00:34:08,480 --> 00:34:11,000
Speaker 1: under if that was coming under a Trump and then

711
00:34:11,080 --> 00:34:15,279
Speaker 1: you know way it would be totally different. So the

712
00:34:15,320 --> 00:34:18,160
Speaker 1: political landscape there matters a lot. The other thing I

713
00:34:18,239 --> 00:34:19,879
Speaker 1: want to say about this poll is I think it's

714
00:34:19,920 --> 00:34:22,319
Speaker 1: important to understand the you know, the shifts in the

715
00:34:22,360 --> 00:34:24,359
Speaker 1: electorate and how they're thinking about these things and where

716
00:34:24,360 --> 00:34:26,920
Speaker 1: the issue stands, et cetera. You know, I've done plenty

717
00:34:26,960 --> 00:34:29,640
Speaker 1: of commentary before. You guys probably already know that. I

718
00:34:29,719 --> 00:34:33,080
Speaker 1: believe that Biden's immigration mistakes here are fool hardy because

719
00:34:33,520 --> 00:34:35,920
Speaker 1: for people for whom this is the number one issue,

720
00:34:35,960 --> 00:34:39,279
Speaker 1: he's never going to outcompete Trump on this issue. He's

721
00:34:39,360 --> 00:34:42,200
Speaker 1: going to continue to exacerbate his problems with young and

722
00:34:42,239 --> 00:34:44,360
Speaker 1: progressive voters. I think that shows up in the polls

723
00:34:44,400 --> 00:34:47,600
Speaker 1: here as well. So I think it's an electoral loser

724
00:34:48,080 --> 00:34:50,400
Speaker 1: for him ultimately, but nevertheless, it's important to.

725
00:34:50,360 --> 00:34:51,360
Speaker 4: See this polling.

726
00:34:51,800 --> 00:34:54,120
Speaker 1: But I also feel about this poll sort of the

727
00:34:54,160 --> 00:34:57,400
Speaker 1: way that I feel about the polls before Trump was convicted,

728
00:34:57,440 --> 00:35:01,280
Speaker 1: of people predicting how they would feel about a particular policy.

729
00:35:01,880 --> 00:35:04,520
Speaker 1: Because it's one thing to you know, telepolsy, like yeah, sure,

730
00:35:05,200 --> 00:35:08,040
Speaker 1: let's do best deportations. It's another thing when you have

731
00:35:08,080 --> 00:35:11,560
Speaker 1: the reality of Listen, we're talking about some twelve million

732
00:35:11,600 --> 00:35:15,920
Speaker 1: people roughly you're talking about. You're not talking about, you know,

733
00:35:16,440 --> 00:35:19,600
Speaker 1: criminals or gang members or whatever like caricature of an immigrant,

734
00:35:19,640 --> 00:35:21,839
Speaker 1: of an undocumented immigrant is. You're talking about people who've

735
00:35:21,840 --> 00:35:25,040
Speaker 1: been here for ten years, twenty years. You're talking about

736
00:35:25,080 --> 00:35:29,600
Speaker 1: potentially a million children. You're talking about community members, you're

737
00:35:29,600 --> 00:35:34,239
Speaker 1: talking about a huge cost. You're talking about, you know,

738
00:35:34,840 --> 00:35:37,880
Speaker 1: crazy scenes of you know, things that people under the

739
00:35:37,880 --> 00:35:43,040
Speaker 1: Trump administration were like sort of repulsed by. You're talking about. Also,

740
00:35:43,320 --> 00:35:45,480
Speaker 1: if you're serious about this policy, which I don't think

741
00:35:45,520 --> 00:35:48,600
Speaker 1: anyone is, including Trump, if you're serious about this policy,

742
00:35:48,680 --> 00:35:52,680
Speaker 1: you're also talking about like economic suicide. A majority of

743
00:35:52,719 --> 00:35:56,640
Speaker 1: farm workers in this country are undocumented immigrants. So you know,

744
00:35:56,719 --> 00:35:59,680
Speaker 1: if you were worried about price hikes during the Biden administration,

745
00:35:59,760 --> 00:36:02,719
Speaker 1: like that would be nothing compared to if you actually

746
00:36:02,800 --> 00:36:05,479
Speaker 1: implemented this policy, which is why you know Trump didn't

747
00:36:05,480 --> 00:36:07,319
Speaker 1: try to do this in his first administration. I don't

748
00:36:07,320 --> 00:36:09,640
Speaker 1: think he's even dumb enough to do it in a secondministration.

749
00:36:09,840 --> 00:36:12,520
Speaker 2: Okay, it's complicated. So first of all, unfortunately I do

750
00:36:12,560 --> 00:36:15,080
Speaker 2: agree with you. Americans don't have a stomach for mass deportation.

751
00:36:15,160 --> 00:36:17,160
Speaker 2: It's not going to happen. I'm not the one saying that.

752
00:36:17,200 --> 00:36:20,360
Speaker 2: You can ask the most hardline right wingers Jesse Kelly,

753
00:36:21,000 --> 00:36:23,880
Speaker 2: Ryan Gerdusky, who's an immigration hawk, all of us have

754
00:36:23,960 --> 00:36:25,640
Speaker 2: come to the terms with the you know, no one's

755
00:36:26,000 --> 00:36:27,920
Speaker 2: no GRAMDMA on TV's gonna be able to watch some

756
00:36:28,040 --> 00:36:30,680
Speaker 2: kid get sent back, you know, allegedly just because they're

757
00:36:30,680 --> 00:36:31,400
Speaker 2: with their parents.

758
00:36:31,840 --> 00:36:34,279
Speaker 3: It's fine. It is what it is. America is what

759
00:36:34,320 --> 00:36:34,600
Speaker 3: it is.

760
00:36:34,960 --> 00:36:37,320
Speaker 2: That said, there's a lot that you can do Mandatory

761
00:36:37,520 --> 00:36:39,680
Speaker 2: verify boom. People are not going to stay if they

762
00:36:39,680 --> 00:36:42,400
Speaker 2: could literally can't work. If you have mandatory verify, If

763
00:36:42,400 --> 00:36:44,920
Speaker 2: you remove the public charge rule on welfare, people are

764
00:36:44,960 --> 00:36:46,919
Speaker 2: going to do a lot of self deportation. So that's

765
00:36:46,960 --> 00:36:49,799
Speaker 2: really the policy that the Trump administration, as I understand it,

766
00:36:50,040 --> 00:36:52,880
Speaker 2: Trump two would coalesce around. That's our Ryan talking about

767
00:36:52,880 --> 00:36:56,239
Speaker 2: that this morning. So in general about the politics and

768
00:36:56,280 --> 00:36:59,000
Speaker 2: all of that, it's complicated because I would be stupid

769
00:36:59,040 --> 00:36:59,720
Speaker 2: not to acknowledge.

770
00:36:59,719 --> 00:37:01,759
Speaker 3: We just let's put this up there on the screen.

771
00:37:01,840 --> 00:37:04,680
Speaker 2: Joe Biden is really leaning into the dynamic that you're

772
00:37:04,719 --> 00:37:07,560
Speaker 2: talking about. He's got a new policies announcing this morning

773
00:37:07,680 --> 00:37:12,040
Speaker 2: giving legal status to quote immigrant spouses of US citizens. So,

774
00:37:12,400 --> 00:37:14,799
Speaker 2: and this is the thorny part of allowing millions of

775
00:37:14,800 --> 00:37:17,080
Speaker 2: people to live here who are illegal is that now

776
00:37:17,160 --> 00:37:20,040
Speaker 2: you have millions of people who are US citizens who

777
00:37:20,040 --> 00:37:22,560
Speaker 2: are then married to people who are illegal immigrants, and

778
00:37:22,600 --> 00:37:25,280
Speaker 2: whose children are US citizens by birthright citizenship.

779
00:37:25,320 --> 00:37:27,200
Speaker 3: So it's like, okay, well, now what the hell do

780
00:37:27,239 --> 00:37:27,520
Speaker 3: you do?

781
00:37:27,920 --> 00:37:31,960
Speaker 2: His new program would quote offer work permits, deportation protections,

782
00:37:32,000 --> 00:37:34,760
Speaker 2: and open a path to apply for a green card

783
00:37:34,920 --> 00:37:38,080
Speaker 2: in the future. This is basically like a DACA plus

784
00:37:38,120 --> 00:37:40,680
Speaker 2: style program. For those who are like think that this

785
00:37:40,760 --> 00:37:41,360
Speaker 2: is a done.

786
00:37:41,160 --> 00:37:42,080
Speaker 3: Deal, there's no way.

787
00:37:42,120 --> 00:37:44,240
Speaker 2: It will be challenging the court system, and it will

788
00:37:44,360 --> 00:37:47,040
Speaker 2: It's going to be months and or years if any

789
00:37:47,080 --> 00:37:49,440
Speaker 2: of this even makes it through, there'll be rules just

790
00:37:49,480 --> 00:37:52,640
Speaker 2: like they had with Dacas. But more importantly, this is

791
00:37:52,680 --> 00:37:56,400
Speaker 2: the dichotomy of the immigration conversation. So in the previous times,

792
00:37:56,520 --> 00:38:00,480
Speaker 2: whenever illegal immigration was relatively low, like the Bush and iministration,

793
00:38:00,920 --> 00:38:05,160
Speaker 2: appetite for basically pathway to citizenship is much much higher

794
00:38:05,200 --> 00:38:07,240
Speaker 2: these days, when you have some six to eight million

795
00:38:07,280 --> 00:38:10,040
Speaker 2: people who are here illegally just in the last four years.

796
00:38:10,120 --> 00:38:13,640
Speaker 2: Not to mention this like crushing migrant insanity across all

797
00:38:13,680 --> 00:38:16,080
Speaker 2: of the cities. The conversation is all about enforcement, and

798
00:38:16,120 --> 00:38:19,000
Speaker 2: the pathway conversation is low. Biden is trying to flip

799
00:38:19,000 --> 00:38:21,640
Speaker 2: it where he's trying to get some enforcement increase from

800
00:38:21,680 --> 00:38:23,640
Speaker 2: what you were talking about, at the same time trying

801
00:38:23,640 --> 00:38:25,439
Speaker 2: to tug on the heartstrings and say, well, what about

802
00:38:25,480 --> 00:38:29,640
Speaker 2: these folks. Apparently that's everybody who's here illegally. Again, I

803
00:38:29,640 --> 00:38:32,320
Speaker 2: don't think that any mass deportation program will ever happen.

804
00:38:32,400 --> 00:38:34,279
Speaker 2: Both Congress will never fund it. That's part of the

805
00:38:34,320 --> 00:38:36,480
Speaker 2: reason that Trump never did it with the Ice Force.

806
00:38:36,560 --> 00:38:39,040
Speaker 2: And it's complicated, but basically the way that works right

807
00:38:39,080 --> 00:38:41,239
Speaker 2: now is that unless you're like a convicted felon, you're

808
00:38:41,280 --> 00:38:44,440
Speaker 2: not getting deported, you're basically just left alone. So there's

809
00:38:44,680 --> 00:38:49,720
Speaker 2: a level of enforcement priority position or whatever it's called.

810
00:38:50,080 --> 00:38:51,399
Speaker 3: I do think it's interesting now.

811
00:38:51,520 --> 00:38:54,759
Speaker 2: I had been looking for some possible counter evidence to

812
00:38:54,800 --> 00:38:57,840
Speaker 2: some of the stuff you've been talking about about European parties.

813
00:38:58,000 --> 00:39:01,759
Speaker 2: There is one counter example which is interesting. This is

814
00:39:01,800 --> 00:39:04,120
Speaker 2: a Washington Post as has written out, but it's a

815
00:39:04,200 --> 00:39:07,640
Speaker 2: common dynamic how progressive Denmark became the face of the

816
00:39:07,680 --> 00:39:10,640
Speaker 2: anti I migration left, where basically Denmark is one of

817
00:39:10,719 --> 00:39:13,759
Speaker 2: the only neoliberal left parties that remains in existence in

818
00:39:13,800 --> 00:39:16,960
Speaker 2: power in Europe, well popularly elected, and it has one

819
00:39:16,960 --> 00:39:20,600
Speaker 2: of the most hardline immigration stances that exist, including telling

820
00:39:20,640 --> 00:39:22,880
Speaker 2: like Muslim kids like you're not allowed to pray the

821
00:39:22,920 --> 00:39:25,680
Speaker 2: Quran in school or whatever, like some crazy stuff that

822
00:39:25,719 --> 00:39:27,879
Speaker 2: would never even fly here in the US.

823
00:39:27,960 --> 00:39:30,880
Speaker 3: But what I'm saying is that in Denmark, what they.

824
00:39:30,760 --> 00:39:33,080
Speaker 2: Successfully at least were able to do is the so

825
00:39:33,239 --> 00:39:36,400
Speaker 2: called left basically paired and paired off a lot of

826
00:39:36,440 --> 00:39:39,719
Speaker 2: the anti immigration voters. But they did it five ten

827
00:39:39,800 --> 00:39:42,080
Speaker 2: years ago, so they have some credibility on the issue

828
00:39:42,120 --> 00:39:44,680
Speaker 2: and they've been able to be reelected at this point.

829
00:39:44,719 --> 00:39:47,320
Speaker 2: Though I think that effectively a lot of the policy

830
00:39:47,360 --> 00:39:50,760
Speaker 2: stuff is irreconcilable. And so the immigration voter is probably

831
00:39:50,800 --> 00:39:53,120
Speaker 2: going to vote for Donald Trump just because they don't

832
00:39:53,120 --> 00:39:53,960
Speaker 2: have any other choice.

833
00:39:54,080 --> 00:39:56,760
Speaker 1: Absolutely, I mean they do have another. I mean Biden

834
00:39:56,880 --> 00:39:59,600
Speaker 1: is clearly in some ways there's like a Nixon goes

835
00:39:59,640 --> 00:40:01,960
Speaker 1: to China a phenomena, or like a Bill Clinton. You know,

836
00:40:02,000 --> 00:40:04,239
Speaker 1: the Democrat is the one who kills welfare.

837
00:40:05,080 --> 00:40:06,200
Speaker 4: If you if the.

838
00:40:06,200 --> 00:40:09,640
Speaker 1: Democrats actually you know, were appropriated the money and we're

839
00:40:09,719 --> 00:40:12,640
Speaker 1: very hardly immocrat, I actually think they could get away

840
00:40:12,880 --> 00:40:13,200
Speaker 1: with a.

841
00:40:13,120 --> 00:40:14,520
Speaker 4: Lot more than Trump could.

842
00:40:14,600 --> 00:40:16,439
Speaker 1: Because you see that in the polling Mber Like again,

843
00:40:16,480 --> 00:40:19,480
Speaker 1: now you have forty two percent of Democrats saying, sure,

844
00:40:19,760 --> 00:40:23,520
Speaker 1: deport all twelve million undocumented immigrants, which again, like if

845
00:40:23,520 --> 00:40:27,720
Speaker 1: you take that policy seriously, it's actually insane. The level

846
00:40:27,960 --> 00:40:33,840
Speaker 1: of surveillance, intrusion, deep state infiltration that would require NASS

847
00:40:33,960 --> 00:40:39,000
Speaker 1: detention centers, arresting grandma's like you said, kids, hold that

848
00:40:39,080 --> 00:40:41,880
Speaker 1: the cost in and of itself would be insane.

849
00:40:42,280 --> 00:40:43,080
Speaker 4: You know, people, it.

850
00:40:43,000 --> 00:40:45,880
Speaker 1: Would it would not fly, Okay, that actual policy, But

851
00:40:45,920 --> 00:40:48,799
Speaker 1: that just shows you that when you have the Democratic

852
00:40:48,840 --> 00:40:50,640
Speaker 1: Party and they're just like following the leader, well all

853
00:40:50,719 --> 00:40:52,480
Speaker 1: they say, they say this is fine, so we'll go

854
00:40:52,560 --> 00:40:56,120
Speaker 1: along with it. It actually creates more political space. But

855
00:40:56,360 --> 00:40:59,080
Speaker 1: you know, to your point, like I think it is

856
00:40:59,200 --> 00:41:02,680
Speaker 1: very clear Biden's moves with regard to immigration are not

857
00:41:02,760 --> 00:41:05,799
Speaker 1: going to solve his issue with immigration hardliners because those

858
00:41:05,840 --> 00:41:08,160
Speaker 1: people are just Republicans at this point, and not just

859
00:41:08,200 --> 00:41:10,960
Speaker 1: on immigration, right, There's a whole host of issues on

860
00:41:11,000 --> 00:41:15,319
Speaker 1: which they likely disagree with Joe Biden. So on the

861
00:41:15,320 --> 00:41:17,600
Speaker 1: political front, I did want to mention with regard to

862
00:41:17,640 --> 00:41:21,840
Speaker 1: this executive order because you do have a real you know,

863
00:41:21,880 --> 00:41:24,759
Speaker 1: you have people have complicated feelings about this issue. So

864
00:41:24,800 --> 00:41:26,959
Speaker 1: on the one hand, there is a new at least

865
00:41:27,000 --> 00:41:30,200
Speaker 1: theoretical embrace that again I think if it was implemented,

866
00:41:30,200 --> 00:41:34,360
Speaker 1: would completely flip, but theoretical embrace of more hardline positions.

867
00:41:34,760 --> 00:41:37,480
Speaker 1: But you also had the last poll had seventy four

868
00:41:37,480 --> 00:41:40,120
Speaker 1: percent of people saying they support a pathway to citizenship

869
00:41:40,320 --> 00:41:42,440
Speaker 1: for undocumented immigrants who've been in the country for a

870
00:41:42,440 --> 00:41:44,520
Speaker 1: lot of years and pass background check.

871
00:41:45,000 --> 00:41:45,920
Speaker 4: So I have no.

872
00:41:45,960 --> 00:41:51,279
Speaker 1: Expectation that this executive order is going to provoke a

873
00:41:51,400 --> 00:41:55,319
Speaker 1: backlash outside of you know, people who are just you know,

874
00:41:55,480 --> 00:41:59,279
Speaker 1: hardline already on immigration. I think if you pull this

875
00:41:59,520 --> 00:42:02,520
Speaker 1: specific executive order, which, by the way, if it did

876
00:42:02,560 --> 00:42:04,400
Speaker 1: go into effect and makes it through the courts and

877
00:42:04,440 --> 00:42:05,920
Speaker 1: all of those things very much up in the air.

878
00:42:05,960 --> 00:42:06,480
Speaker 4: Sagas right.

879
00:42:06,480 --> 00:42:08,719
Speaker 1: It'll take months for this all to be adjudicated. It's

880
00:42:08,719 --> 00:42:10,359
Speaker 1: going to be called into question, et cetera. The Biden

881
00:42:10,360 --> 00:42:13,000
Speaker 1: administration thinks that they have a good legal argument. I

882
00:42:13,000 --> 00:42:16,200
Speaker 1: don't really know. We'll see, but the estimate I saw

883
00:42:16,280 --> 00:42:18,520
Speaker 1: is this would apply to some one point three million people,

884
00:42:18,880 --> 00:42:21,279
Speaker 1: So it's not nothing like this. This would be a

885
00:42:21,360 --> 00:42:24,880
Speaker 1: significant number of people who would be getting work permits

886
00:42:24,920 --> 00:42:28,880
Speaker 1: and a pathway to citizenship. And I you know, based

887
00:42:28,880 --> 00:42:31,760
Speaker 1: on the polling that I'm seeing, you would have a

888
00:42:31,800 --> 00:42:35,560
Speaker 1: pretty large majority support for such a program, just as

889
00:42:35,600 --> 00:42:38,760
Speaker 1: you had very significant large support for the DACA program

890
00:42:39,480 --> 00:42:41,719
Speaker 1: the other questions they asked. This is a Wall Street

891
00:42:41,760 --> 00:42:44,840
Speaker 1: Journal poll from like two months ago. Sixty six percent

892
00:42:44,880 --> 00:42:47,359
Speaker 1: of voters support creating a mechanism for immigrants brought into

893
00:42:47,360 --> 00:42:50,279
Speaker 1: the country legal is children often called dreamers, to gain citizenship.

894
00:42:50,840 --> 00:42:54,040
Speaker 1: Fifty eight percent, according to this poll, back actually increasing

895
00:42:54,040 --> 00:42:57,120
Speaker 1: the level of legal immigration to the US. So the

896
00:42:57,160 --> 00:42:59,360
Speaker 1: polling on this and the political dynamics on it is

897
00:42:59,560 --> 00:43:01,120
Speaker 1: far from from straightforward.

898
00:43:01,120 --> 00:43:02,360
Speaker 3: I would say absolutely.

899
00:43:02,400 --> 00:43:04,880
Speaker 2: Look, I mean, nobody's saying that anybody supports like shutting

900
00:43:04,880 --> 00:43:07,000
Speaker 2: things down. I'm not naive, like I just said, my

901
00:43:07,239 --> 00:43:09,560
Speaker 2: mass deportation, it's not going to happen. I know what

902
00:43:09,600 --> 00:43:12,000
Speaker 2: this country looks like, I know how television works, how

903
00:43:12,040 --> 00:43:12,719
Speaker 2: the media works.

904
00:43:12,760 --> 00:43:15,400
Speaker 4: But it's not that. It's also I mean the morality.

905
00:43:15,600 --> 00:43:16,040
Speaker 4: Listen to me.

906
00:43:16,080 --> 00:43:18,560
Speaker 1: The morality part is very important. But I also think

907
00:43:18,640 --> 00:43:21,680
Speaker 1: even Donald Trump would realize, like economically, it.

908
00:43:21,680 --> 00:43:22,920
Speaker 3: Would be such a disaster.

909
00:43:23,800 --> 00:43:26,839
Speaker 1: Half of farm workers just that's it, no more, you know,

910
00:43:27,200 --> 00:43:29,919
Speaker 1: crops rotting in the field. If you think prices where

911
00:43:29,920 --> 00:43:32,080
Speaker 1: I recently like, it would be nothing compared to that.

912
00:43:32,160 --> 00:43:35,160
Speaker 1: I just take the supply chain issues. You'd have meat

913
00:43:35,200 --> 00:43:39,319
Speaker 1: processing plants shut down. You'd have you know, construction, like

914
00:43:39,360 --> 00:43:42,320
Speaker 1: housing costs are already astronomical. You've got some twenty percent

915
00:43:42,320 --> 00:43:47,560
Speaker 1: of the construction industry that's undocumented immigrants, cooks, restaurants, food prep.

916
00:43:47,960 --> 00:43:53,080
Speaker 1: I mean, just the widespread economic chaos would be political

917
00:43:53,160 --> 00:43:54,320
Speaker 1: and economic suicide.

918
00:43:54,760 --> 00:43:57,799
Speaker 2: This way, it's bad for American GDP to go into

919
00:43:57,800 --> 00:43:59,759
Speaker 2: a trade war with China. I still support it, I

920
00:44:00,360 --> 00:44:03,040
Speaker 2: fully admit and believe that it is bad for top

921
00:44:03,080 --> 00:44:03,600
Speaker 2: line GDP.

922
00:44:03,800 --> 00:44:05,920
Speaker 3: I think it's bad for a lot of businesses. I

923
00:44:05,960 --> 00:44:07,520
Speaker 3: don't care. I think it's a good right thing to do.

924
00:44:07,800 --> 00:44:08,439
Speaker 3: Same thing here.

925
00:44:08,680 --> 00:44:11,680
Speaker 2: It's like, so our broken system employs a bunch of

926
00:44:11,680 --> 00:44:14,919
Speaker 2: people who are here illegally and who are unskilled. It's like, yeah,

927
00:44:15,160 --> 00:44:18,520
Speaker 2: deportation or forcing them to leave through self deportation matters.

928
00:44:18,560 --> 00:44:21,480
Speaker 2: Through you verify. Will there be a higher cost, yes, true?

929
00:44:21,520 --> 00:44:22,319
Speaker 2: Will wages go up?

930
00:44:22,400 --> 00:44:22,600
Speaker 3: Yeah?

931
00:44:22,640 --> 00:44:24,279
Speaker 2: I do believe that. I mean, will it be bad

932
00:44:24,320 --> 00:44:28,200
Speaker 2: for Tyson food? Meat processing will cost coort history, chickens

933
00:44:28,160 --> 00:44:28,840
Speaker 2: stay five.

934
00:44:28,719 --> 00:44:32,960
Speaker 1: Dollars, bad food for families who are trying to buy

935
00:44:33,080 --> 00:44:33,760
Speaker 1: Tyson food?

936
00:44:33,840 --> 00:44:36,440
Speaker 2: I agree, Yes, it's true. Yeah, the price will go up.

937
00:44:36,680 --> 00:44:39,759
Speaker 2: Let's be let's be very real here. The price will

938
00:44:39,760 --> 00:44:42,480
Speaker 2: probably go up. Do will be a more cohesive society?

939
00:44:42,480 --> 00:44:44,760
Speaker 2: Will we have better supply and demandage and better wages?

940
00:44:44,840 --> 00:44:45,040
Speaker 5: Yeah?

941
00:44:45,120 --> 00:44:45,920
Speaker 3: I believe that.

942
00:44:46,520 --> 00:44:48,080
Speaker 2: So you sometimes we just have to sit here and

943
00:44:48,280 --> 00:44:50,800
Speaker 2: like lay out the full truth. And also I believe

944
00:44:50,800 --> 00:44:53,520
Speaker 2: the full thing should be laid out to the American people,

945
00:44:53,520 --> 00:44:55,719
Speaker 2: like I said on the China issue, if you ask them,

946
00:44:55,960 --> 00:44:57,240
Speaker 2: are you willing to pay higher prices?

947
00:44:57,239 --> 00:44:58,439
Speaker 3: And your stuff doesn't come from China.

948
00:44:58,560 --> 00:45:00,640
Speaker 2: Most people say, yes, there's a lot of polling on this,

949
00:45:01,000 --> 00:45:02,600
Speaker 2: so on the same thing, it's like, well, what do

950
00:45:02,640 --> 00:45:02,960
Speaker 2: you want?

951
00:45:03,040 --> 00:45:04,560
Speaker 3: What do you want? What country do you want to

952
00:45:04,560 --> 00:45:04,759
Speaker 3: live in?

953
00:45:04,840 --> 00:45:08,640
Speaker 1: So the cohesive society thing I just want to put

954
00:45:08,640 --> 00:45:10,920
Speaker 1: to the side because I think that's, first of all,

955
00:45:10,960 --> 00:45:14,160
Speaker 1: I just wildly disagree, Like I mean, actually, the poll

956
00:45:14,239 --> 00:45:17,880
Speaker 1: numbers support the fact that you don't have. Actually, racial

957
00:45:17,880 --> 00:45:21,440
Speaker 1: divides have never been less in terms of political partisan

958
00:45:21,600 --> 00:45:24,040
Speaker 1: identities than at any time I know in our lives.

959
00:45:24,520 --> 00:45:28,080
Speaker 1: But so I want to put the cohesive society part

960
00:45:28,360 --> 00:45:31,080
Speaker 1: to the side because I think that is very fraught

961
00:45:31,239 --> 00:45:34,600
Speaker 1: and also very subjective. But you know, we really disagree

962
00:45:34,600 --> 00:45:38,120
Speaker 1: about the economics of this. Sure, First of all, the

963
00:45:38,440 --> 00:45:41,400
Speaker 1: typical view of just a supply and demand of workers,

964
00:45:41,440 --> 00:45:43,319
Speaker 1: and so you know, if you increase the supply, it's

965
00:45:43,360 --> 00:45:44,760
Speaker 1: going to create lower wages.

966
00:45:45,320 --> 00:45:46,240
Speaker 4: It's not that there's.

967
00:45:46,040 --> 00:45:49,560
Speaker 1: Nothing to that, But the real picture is much more

968
00:45:49,600 --> 00:45:51,920
Speaker 1: complicated than that, because you know, if you think about,

969
00:45:51,920 --> 00:45:56,239
Speaker 1: for example, okay, you now have deported or in the

970
00:45:56,280 --> 00:45:59,440
Speaker 1: process of deporting fifty percent of all farm workers.

971
00:46:00,120 --> 00:46:01,640
Speaker 4: All right, Well, that's going to have.

972
00:46:01,800 --> 00:46:04,920
Speaker 1: Huge economic implications for those farmers is going to have

973
00:46:05,000 --> 00:46:07,400
Speaker 1: huge economic implications for the consumers.

974
00:46:07,760 --> 00:46:10,440
Speaker 4: It's not really likely to increase.

975
00:46:10,040 --> 00:46:15,160
Speaker 1: Wages because why because workers don't really have enough power

976
00:46:15,680 --> 00:46:19,240
Speaker 1: in the country to be able to claim their share

977
00:46:19,640 --> 00:46:22,880
Speaker 1: of the you know, economic pie. So that's why I

978
00:46:22,880 --> 00:46:25,400
Speaker 1: always think it's a red herring to focus on immigration

979
00:46:25,640 --> 00:46:27,600
Speaker 1: as the soul. And this is I'm not saying this

980
00:46:27,680 --> 00:46:30,400
Speaker 1: necessarily about you, Socign, because you do embrace unionism and

981
00:46:30,440 --> 00:46:33,560
Speaker 1: other things. But most people, most politicians on the right,

982
00:46:34,280 --> 00:46:39,440
Speaker 1: embrace reducing immigration as the sole path to increasing wages

983
00:46:39,920 --> 00:46:44,160
Speaker 1: when they have no other demonstrated interest in raising wages

984
00:46:44,320 --> 00:46:48,640
Speaker 1: in any other policy area. If you look throughout history,

985
00:46:49,280 --> 00:46:53,120
Speaker 1: most consistently, the thing that has increased wages has been

986
00:46:53,440 --> 00:46:56,799
Speaker 1: worker power. If you look at the charts, if you

987
00:46:56,840 --> 00:46:59,279
Speaker 1: look at you know, when unions started to decline and

988
00:46:59,360 --> 00:47:01,839
Speaker 1: workers start to have less power and then the New

989
00:47:01,840 --> 00:47:05,160
Speaker 1: Deal coalition starts to fall apart, that's when you see

990
00:47:05,719 --> 00:47:08,800
Speaker 1: wages decline. And it's not up and down with regard

991
00:47:08,880 --> 00:47:11,560
Speaker 1: to what the immigration levels happened to be at that point.

992
00:47:12,080 --> 00:47:15,800
Speaker 1: So if the actual concern is wages, yeah, I'm not

993
00:47:15,840 --> 00:47:18,319
Speaker 1: going to deny that levels of immigration have an impact there.

994
00:47:18,400 --> 00:47:19,880
Speaker 1: I think that would be you know, I think that

995
00:47:19,880 --> 00:47:22,520
Speaker 1: would be dishonest. Although again I think it's much more complicated,

996
00:47:22,560 --> 00:47:24,000
Speaker 1: and if you look at the studies, they would suggest

997
00:47:24,000 --> 00:47:27,600
Speaker 1: it's much more complicated. But the real thing you would

998
00:47:27,600 --> 00:47:30,560
Speaker 1: want to do is increase work or power so that

999
00:47:30,640 --> 00:47:34,440
Speaker 1: they can claim their share of the record breaking corporate

1000
00:47:34,480 --> 00:47:37,600
Speaker 1: profits that we've seen. So, you know, to take up

1001
00:47:37,640 --> 00:47:40,520
Speaker 1: your example with China trade, which I'm also sympathetic to that,

1002
00:47:40,640 --> 00:47:42,880
Speaker 1: you know, to that direction as well. You know, for

1003
00:47:42,960 --> 00:47:46,000
Speaker 1: me there you have a real which is demonstrated than

1004
00:47:46,040 --> 00:47:49,360
Speaker 1: the pandemic. You have a real problem in this country,

1005
00:47:49,400 --> 00:47:51,839
Speaker 1: which is that we have outsourced so much that we

1006
00:47:51,880 --> 00:47:55,719
Speaker 1: are really vulnerable. And you know, it's a problem for consumers.

1007
00:47:55,760 --> 00:47:59,080
Speaker 1: We saw when the pandemic hit and you couldn't get

1008
00:47:59,120 --> 00:48:01,840
Speaker 1: things and there were short and prices escalated, et cetera.

1009
00:48:02,200 --> 00:48:04,080
Speaker 1: But even more to the point, you know, we were

1010
00:48:04,200 --> 00:48:07,480
Speaker 1: making our own face masks, like our industrial capacities and

1011
00:48:07,560 --> 00:48:11,520
Speaker 1: so stripped that it really creates a national vulnerability and

1012
00:48:11,640 --> 00:48:14,839
Speaker 1: I don't see a better way to deal with that. Then,

1013
00:48:15,160 --> 00:48:18,400
Speaker 1: you know, some of the near shoring and friend shoring,

1014
00:48:18,440 --> 00:48:20,680
Speaker 1: and you know, reshoring and some of the programs, the

1015
00:48:20,719 --> 00:48:24,040
Speaker 1: industrial policy that's being engaged in under Joe Biden, which

1016
00:48:24,080 --> 00:48:27,960
Speaker 1: does have the potential to somewhat increase prices. Here, if

1017
00:48:28,000 --> 00:48:30,680
Speaker 1: your concern is wages, I see way better ways to

1018
00:48:30,719 --> 00:48:33,960
Speaker 1: go about this that aren't you know, cruel, and don't

1019
00:48:34,160 --> 00:48:37,799
Speaker 1: require massive expansion of the deep state, and are much

1020
00:48:37,880 --> 00:48:42,160
Speaker 1: less costly, and are ultimately you know, and don't massively

1021
00:48:42,360 --> 00:48:46,560
Speaker 1: you know, create potential hyperinflation in food prices and meat

1022
00:48:46,600 --> 00:48:50,040
Speaker 1: prices and housing prices, et cetera. So to me, you know,

1023
00:48:50,120 --> 00:48:52,640
Speaker 1: the solution of all let's just shut down immigration. It

1024
00:48:52,640 --> 00:48:55,319
Speaker 1: doesn't make sense for that to be the solution if

1025
00:48:55,320 --> 00:48:56,239
Speaker 1: the problem you're trying to.

1026
00:48:56,239 --> 00:48:57,680
Speaker 3: Solve is wages, I think it's a yes.

1027
00:48:57,719 --> 00:48:59,319
Speaker 2: And I mean if you look at a lot of

1028
00:48:59,360 --> 00:49:01,279
Speaker 2: those times, there are also at times where we had

1029
00:49:01,360 --> 00:49:04,520
Speaker 2: historically low levels of immigration or it's what type of

1030
00:49:04,560 --> 00:49:06,680
Speaker 2: country do you live in at that time, So it's

1031
00:49:06,800 --> 00:49:11,040
Speaker 2: very unfair to compare high levels of immigration combined with

1032
00:49:11,120 --> 00:49:13,600
Speaker 2: a mass industrial economy. We have six to eight million

1033
00:49:13,600 --> 00:49:15,000
Speaker 2: people who have arrived in this country in the last

1034
00:49:15,040 --> 00:49:17,600
Speaker 2: four years, who we are lucky if they are literate

1035
00:49:17,680 --> 00:49:20,800
Speaker 2: in Spanish. Let our own English, don't speak any English

1036
00:49:21,000 --> 00:49:24,279
Speaker 2: in a society which is rapidly de industrializing and going

1037
00:49:24,320 --> 00:49:28,320
Speaker 2: towards a service based economy and knowledge based economy.

1038
00:49:28,040 --> 00:49:28,960
Speaker 3: It just doesn't work.

1039
00:49:29,160 --> 00:49:31,080
Speaker 2: It's one of those where then there is a huge

1040
00:49:31,120 --> 00:49:34,240
Speaker 2: amount of competition in the lower wage and lower skilled sector.

1041
00:49:34,360 --> 00:49:38,200
Speaker 2: So not only that million billions of dollars being thrown

1042
00:49:38,320 --> 00:49:41,600
Speaker 2: at basically, you know, allowing these people to live here

1043
00:49:41,760 --> 00:49:44,640
Speaker 2: rent free and charity wise. I mean you can look

1044
00:49:44,680 --> 00:49:46,480
Speaker 2: it up if they unless they have a work permit,

1045
00:49:46,520 --> 00:49:48,960
Speaker 2: they literally aren't have to live on charity, which.

1046
00:49:48,840 --> 00:49:50,399
Speaker 4: Is right, why should permit?

1047
00:49:50,520 --> 00:49:52,480
Speaker 2: But why should they have work permits? You arrive here

1048
00:49:52,480 --> 00:49:56,080
Speaker 2: at it's bullshit? I mean they're coming here from countries.

1049
00:49:56,680 --> 00:49:58,279
Speaker 2: By the way, El Salvador just solved all of its

1050
00:49:58,320 --> 00:49:59,680
Speaker 2: crime problems. Do you know what the crime rate and

1051
00:50:00,520 --> 00:50:02,880
Speaker 2: is now? It's lower than like Manhattan, so you can

1052
00:50:02,920 --> 00:50:04,600
Speaker 2: go back. You don't have to fear for your life anymore.

1053
00:50:04,800 --> 00:50:07,880
Speaker 2: Honduras is building a ten thousand person prison to implement

1054
00:50:07,960 --> 00:50:11,520
Speaker 2: the exact same thing. This, this whole idea that these

1055
00:50:11,560 --> 00:50:14,120
Speaker 2: countries can't solve their own problems, which they are now solving,

1056
00:50:14,320 --> 00:50:17,520
Speaker 2: is now is bs like this TPS status for people

1057
00:50:17,520 --> 00:50:19,680
Speaker 2: who've been living here. But again thy five thirty years,

1058
00:50:19,760 --> 00:50:20,680
Speaker 2: it's outrageous.

1059
00:50:20,880 --> 00:50:25,200
Speaker 1: But again, so you view migrants as a net negative.

1060
00:50:25,440 --> 00:50:28,799
Speaker 1: I don't view migrants as a net negative whatsoever.

1061
00:50:29,680 --> 00:50:31,799
Speaker 3: It depends on the migrant, it depends on who are

1062
00:50:32,080 --> 00:50:33,000
Speaker 3: But come on a second.

1063
00:50:33,719 --> 00:50:37,440
Speaker 1: We have a looming demographic issue in this country, as

1064
00:50:37,560 --> 00:50:41,680
Speaker 1: do all developed nations, of an aging population and a

1065
00:50:41,920 --> 00:50:48,640
Speaker 1: dwindling workforce, aged population and the native born population is

1066
00:50:48,960 --> 00:50:51,600
Speaker 1: you know, you're the first point out. Yeah, birth rates

1067
00:50:51,640 --> 00:50:54,359
Speaker 1: are a lot, right, we don't have a replacement rate.

1068
00:50:54,920 --> 00:50:55,320
Speaker 4: Places.

1069
00:50:55,760 --> 00:50:58,239
Speaker 1: I've lived in places in the country that have seen

1070
00:50:58,480 --> 00:51:03,440
Speaker 1: the population and go away. Those places are in crisis,

1071
00:51:04,040 --> 00:51:08,279
Speaker 1: Like we need workers. We need workers. So you know,

1072
00:51:08,440 --> 00:51:11,520
Speaker 1: the idea that they're just a burden and a drain, well,

1073
00:51:11,840 --> 00:51:13,520
Speaker 1: a core part of the problem is the fact that

1074
00:51:13,880 --> 00:51:16,080
Speaker 1: you know, they do need work permits. They need to

1075
00:51:16,120 --> 00:51:18,120
Speaker 1: be able to work, not in the shadows, so they're

1076
00:51:18,160 --> 00:51:21,279
Speaker 1: not exploited, which does have larger impacts than on the

1077
00:51:21,640 --> 00:51:24,200
Speaker 1: low wage workforce, because if you can get an undocumented

1078
00:51:24,239 --> 00:51:27,200
Speaker 1: worker who's being paid under the table and not going

1079
00:51:27,280 --> 00:51:29,439
Speaker 1: to take you to OSHA, if you're violating labor laws,

1080
00:51:29,440 --> 00:51:32,359
Speaker 1: et cetera, that's a much larger issue. So listen where

1081
00:51:32,440 --> 00:51:34,600
Speaker 1: I am personally. I don't know if I'm quite ready

1082
00:51:34,640 --> 00:51:36,760
Speaker 1: to go where Ryan is with the full open borders,

1083
00:51:36,800 --> 00:51:39,160
Speaker 1: because if you think you have an open border guy,

1084
00:51:39,840 --> 00:51:44,040
Speaker 1: which I respect, but you know, I do have questions about, Okay, well,

1085
00:51:44,080 --> 00:51:46,000
Speaker 1: if you just did open boards, how many people are

1086
00:51:46,040 --> 00:51:47,759
Speaker 1: we talking about it, and how many can you really,

1087
00:51:48,160 --> 00:51:50,080
Speaker 1: you know, deal with There is a limit I think

1088
00:51:50,160 --> 00:51:55,000
Speaker 1: to the capacity at one given time. But significantly increasing

1089
00:51:55,320 --> 00:51:59,239
Speaker 1: the legal pathways to citizenship here I am wildly in

1090
00:51:59,320 --> 00:52:02,160
Speaker 1: favor of. I think it'd be good for the country. Obviously,

1091
00:52:02,280 --> 00:52:03,920
Speaker 1: be good for those mirants, but more importantly, I think

1092
00:52:03,920 --> 00:52:04,920
Speaker 1: it'd be good for the country.

1093
00:52:05,280 --> 00:52:06,880
Speaker 4: I think it would be good overall for workers.

1094
00:52:06,920 --> 00:52:09,440
Speaker 1: I think it has to be paired with a stronger

1095
00:52:09,719 --> 00:52:12,800
Speaker 1: labor movement, which we're already seeing come into fruition. But

1096
00:52:13,239 --> 00:52:15,120
Speaker 1: you know, just to talk about the last few months, like,

1097
00:52:15,680 --> 00:52:19,239
Speaker 1: we have had very high levels of migration, as you

1098
00:52:19,280 --> 00:52:20,960
Speaker 1: would point out, over the past few months, and we

1099
00:52:21,120 --> 00:52:23,719
Speaker 1: also have had wages for the first time in quite

1100
00:52:23,760 --> 00:52:26,680
Speaker 1: a while that have risen at a faster pace than inflation.

1101
00:52:27,239 --> 00:52:30,120
Speaker 1: So if migration was just the like blanket disaster for

1102
00:52:30,239 --> 00:52:33,239
Speaker 1: workers and that was the reason to deport everybody. And

1103
00:52:33,360 --> 00:52:35,880
Speaker 1: you know, lock the gates, et cetera. That hasn't been

1104
00:52:35,920 --> 00:52:38,880
Speaker 1: the experience of our economy just over the past you know,

1105
00:52:39,239 --> 00:52:40,080
Speaker 1: year several months.

1106
00:52:40,160 --> 00:52:42,360
Speaker 3: I looked, it's been twenty five year issue.

1107
00:52:42,719 --> 00:52:44,680
Speaker 2: This is not you know, we can't put three months

1108
00:52:44,719 --> 00:52:46,600
Speaker 2: of data and say that's indicative of everything.

1109
00:52:46,680 --> 00:52:47,520
Speaker 3: If we By the way, if the.

1110
00:52:47,520 --> 00:52:49,560
Speaker 2: Biden administry, I call them the Biden administration, to release

1111
00:52:49,600 --> 00:52:51,840
Speaker 2: the true economic number, how much we have spent on

1112
00:52:52,000 --> 00:52:54,200
Speaker 2: these people. Get on an airplane these days, I'm flying

1113
00:52:54,239 --> 00:52:56,240
Speaker 2: from Phoenix. Half the guys on the plane are illegal

1114
00:52:56,360 --> 00:52:59,520
Speaker 2: getting paid with taxpayer citizens with their little packets flying

1115
00:52:59,560 --> 00:53:02,480
Speaker 2: to watch to DC because they get free whatever shell.

1116
00:53:02,520 --> 00:53:03,560
Speaker 4: They don't want to be charity case.

1117
00:53:03,600 --> 00:53:04,560
Speaker 3: They work.

1118
00:53:06,120 --> 00:53:07,920
Speaker 4: To pay work, pay taxes.

1119
00:53:07,960 --> 00:53:09,880
Speaker 2: By the way, you are welcome to work in the

1120
00:53:09,920 --> 00:53:11,719
Speaker 2: country that you're born in. You know, otherwise you can

1121
00:53:11,760 --> 00:53:13,359
Speaker 2: apply for a quote unquote path.

1122
00:53:13,480 --> 00:53:16,480
Speaker 1: But these aren't like people who want to be welfare moutures.

1123
00:53:16,640 --> 00:53:20,279
Speaker 1: But they are wanting their work, They want to contribute.

1124
00:53:20,400 --> 00:53:23,600
Speaker 1: They do pay taxes overwhelming. I do not begrudge them

1125
00:53:23,640 --> 00:53:24,480
Speaker 1: for wanting to work here.

1126
00:53:24,520 --> 00:53:26,640
Speaker 2: Everybody wants to work here over a billion people who've

1127
00:53:26,640 --> 00:53:28,400
Speaker 2: been pulled over the United in the world say they

1128
00:53:28,400 --> 00:53:29,799
Speaker 2: want to move to the United States. But that's why

1129
00:53:29,800 --> 00:53:31,560
Speaker 2: I would say to Ryan, that's insane. You can't allow

1130
00:53:31,600 --> 00:53:33,680
Speaker 2: a billion people to move here, and nor should we.

1131
00:53:34,040 --> 00:53:36,200
Speaker 2: The demographic argument is a different one, and that's one

1132
00:53:36,239 --> 00:53:38,279
Speaker 2: where again, we should be able to choose who gets

1133
00:53:38,320 --> 00:53:39,800
Speaker 2: to come here and or not, and what type of

1134
00:53:39,840 --> 00:53:41,879
Speaker 2: society and people that we want to allow into our

1135
00:53:41,960 --> 00:53:44,800
Speaker 2: economy and thus become future citizens. That is something that

1136
00:53:44,840 --> 00:53:47,400
Speaker 2: should be decided by democracy, not based on whether you

1137
00:53:47,480 --> 00:53:49,920
Speaker 2: can walk across Mexico and pay a drug smuggler to

1138
00:53:50,040 --> 00:53:51,160
Speaker 2: enter the United States.

1139
00:53:51,200 --> 00:53:53,960
Speaker 3: To lead again, why are off somebody from Africa?

1140
00:53:54,000 --> 00:53:55,440
Speaker 1: All right, so it's not fair. Let's bring in more

1141
00:53:55,480 --> 00:53:57,000
Speaker 1: people from Africa. That's when I'm down.

1142
00:53:57,239 --> 00:54:00,760
Speaker 3: Actually, let's be lots of Africans now flying to Mexica.

1143
00:54:00,800 --> 00:54:02,919
Speaker 4: There you go, so it's more egalitarian. You should be happy.

1144
00:54:03,000 --> 00:54:06,640
Speaker 1: That's not again, Listen, the reality is that in terms

1145
00:54:06,719 --> 00:54:09,240
Speaker 1: of migration, if you look not just now, but historically,

1146
00:54:09,600 --> 00:54:12,880
Speaker 1: like people typically want to go to countries that are nearby.

1147
00:54:12,960 --> 00:54:17,399
Speaker 1: In fact, there's far more migration between South different South

1148
00:54:17,440 --> 00:54:20,080
Speaker 1: American countries than there are South American migrants coming here

1149
00:54:20,520 --> 00:54:23,880
Speaker 1: because there's more cultural infinity, You're more likely a family, ties, etc.

1150
00:54:24,600 --> 00:54:27,960
Speaker 1: And so you know, it's not just the fact that

1151
00:54:28,040 --> 00:54:29,839
Speaker 1: you happen to be able to walk there. It's also

1152
00:54:29,960 --> 00:54:32,600
Speaker 1: that you're more likely to want to move to a

1153
00:54:32,680 --> 00:54:36,000
Speaker 1: place that is closer. But you know, the bottom line

1154
00:54:36,160 --> 00:54:39,080
Speaker 1: for me also is just when I look at the

1155
00:54:39,680 --> 00:54:41,440
Speaker 1: when I look at the immigrants that I know in

1156
00:54:41,520 --> 00:54:44,040
Speaker 1: my life, when I look at the contributions of immigrants

1157
00:54:44,120 --> 00:54:47,560
Speaker 1: across society, I think we would be so foolish to

1158
00:54:47,760 --> 00:54:51,600
Speaker 1: not embrace the contribution of a group of people who

1159
00:54:52,280 --> 00:54:55,080
Speaker 1: just my nature, like, is not an easy thing to

1160
00:54:55,160 --> 00:54:58,680
Speaker 1: pick up your whole life and move somewhere and try

1161
00:54:58,800 --> 00:55:01,640
Speaker 1: to make it and know that like they are in

1162
00:55:01,719 --> 00:55:03,360
Speaker 1: a lot of ways. I know this sounds hokey, but

1163
00:55:03,440 --> 00:55:05,480
Speaker 1: I really feel this. They are in a lot of

1164
00:55:05,520 --> 00:55:08,840
Speaker 1: ways like the embodiment of the American dream. And to

1165
00:55:08,960 --> 00:55:11,239
Speaker 1: shut your doors to that, to like, you know, kick

1166
00:55:11,280 --> 00:55:13,040
Speaker 1: out people who have been here in ten, in twenty years,

1167
00:55:13,080 --> 00:55:16,440
Speaker 1: who have families, who are deeply enmeshed in society, who

1168
00:55:16,520 --> 00:55:20,120
Speaker 1: are contributing members of their communities. I don't just think

1169
00:55:20,160 --> 00:55:24,239
Speaker 1: it's wrong morally, I think it would be so catastrophic

1170
00:55:24,800 --> 00:55:29,440
Speaker 1: in terms of the economics and politics of society that again,

1171
00:55:30,080 --> 00:55:34,560
Speaker 1: even Trump didn't contemplate such a draconian move in his

1172
00:55:34,680 --> 00:55:37,920
Speaker 1: first time, and wouldn't contemplate such a draconian move because

1173
00:55:38,440 --> 00:55:41,640
Speaker 1: he relied on undocumented immigrants in his own businesses. So

1174
00:55:41,800 --> 00:55:44,880
Speaker 1: this is a man who is acquainted with the reality.

1175
00:55:45,920 --> 00:55:47,759
Speaker 4: Of what needs to occur.

1176
00:55:48,040 --> 00:55:50,319
Speaker 3: I think the way actually works.

1177
00:55:50,440 --> 00:55:52,880
Speaker 2: I support a law called everify, which would require Donald

1178
00:55:52,880 --> 00:55:55,520
Speaker 2: Trump and all employers to verify that their employees are

1179
00:55:55,560 --> 00:55:56,279
Speaker 2: not immigrants.

1180
00:55:56,719 --> 00:56:01,359
Speaker 1: I support easy that plus a much large legal If

1181
00:56:01,440 --> 00:56:04,239
Speaker 1: you have a much higher level of legal migration, where

1182
00:56:04,239 --> 00:56:06,839
Speaker 1: there's an actual pathway to citizenship, you're in a much

1183
00:56:06,920 --> 00:56:11,239
Speaker 1: less chaos at the border. You can then have more enforcement. Right,

1184
00:56:11,600 --> 00:56:14,000
Speaker 1: there's a path here that you know, there's a way

1185
00:56:14,080 --> 00:56:15,560
Speaker 1: to do this, and you're not doing it the right

1186
00:56:15,640 --> 00:56:18,359
Speaker 1: way as of now. You just have you know, it's

1187
00:56:18,480 --> 00:56:21,839
Speaker 1: completely broken down for people coming from most countries, there

1188
00:56:22,000 --> 00:56:25,000
Speaker 1: is no pathway to citizenship. We all know the asylum

1189
00:56:25,040 --> 00:56:28,120
Speaker 1: process is completely broken. And so you know, that's how

1190
00:56:28,160 --> 00:56:30,439
Speaker 1: you end up with Americans looking at and saying like, ah,

1191
00:56:30,920 --> 00:56:31,800
Speaker 1: we got to do something.

1192
00:56:31,640 --> 00:56:33,440
Speaker 2: Here, Okay, well, agree to disagree. I'm not going to

1193
00:56:33,480 --> 00:56:35,919
Speaker 2: solve it here. As usual, the immigration section goes on first.

1194
00:56:35,920 --> 00:56:38,520
Speaker 2: It will contact the producers are but yeah, maybe Trump

1195
00:56:38,520 --> 00:56:39,600
Speaker 2: will win and we'll get to find out.

1196
00:56:39,640 --> 00:56:41,279
Speaker 3: All right, that could be an interesting possibility.

1197
00:56:43,680 --> 00:56:45,839
Speaker 2: All right, let's go to the debate section and talk

1198
00:56:45,880 --> 00:56:48,120
Speaker 2: about how CNN is rigging the debate rules.

1199
00:56:48,200 --> 00:56:50,640
Speaker 3: Let's put it up there on the screen. So what

1200
00:56:50,719 --> 00:56:51,319
Speaker 3: do we have here?

1201
00:56:51,400 --> 00:56:55,560
Speaker 2: They have announced the official mutually agreed upon rules. Biden

1202
00:56:55,600 --> 00:56:59,200
Speaker 2: and Trump have agreed to mic muting to podiums and

1203
00:56:59,480 --> 00:57:03,120
Speaker 2: in an empty stage. So quote the debate, which will

1204
00:57:03,120 --> 00:57:05,359
Speaker 2: be hosted by CNNs Jake Tapper and Dana Bash, who

1205
00:57:05,400 --> 00:57:07,960
Speaker 2: we will get to later in the show. Well mark

1206
00:57:08,040 --> 00:57:12,319
Speaker 2: the very first in person showdown of twenty twenty four campaign. Now,

1207
00:57:12,360 --> 00:57:14,799
Speaker 2: the rules that the two have agreed upon include two

1208
00:57:14,960 --> 00:57:18,080
Speaker 2: commercial breaks. The campaign staff will not be allowed to

1209
00:57:18,120 --> 00:57:21,400
Speaker 2: interact with their candidate during that time. Both candidates will

1210
00:57:21,440 --> 00:57:24,120
Speaker 2: appear at the uniform podium. Their podium positions will be

1211
00:57:24,160 --> 00:57:27,480
Speaker 2: determined by a coin flip. Microphones will be muted throughout

1212
00:57:27,520 --> 00:57:30,600
Speaker 2: the debate, except for the candidate whose turn it is

1213
00:57:30,760 --> 00:57:33,560
Speaker 2: to speak, while no props or pre written notes will

1214
00:57:33,560 --> 00:57:34,400
Speaker 2: be allowed on the stage.

1215
00:57:34,520 --> 00:57:36,160
Speaker 3: Candidates will be given a pen and a pad of

1216
00:57:36,200 --> 00:57:37,560
Speaker 3: paper and a bottle of water.

1217
00:57:37,920 --> 00:57:41,320
Speaker 2: Some aspects of the debate, including the absence of studio audience,

1218
00:57:41,360 --> 00:57:43,640
Speaker 2: will be a departure from previous As in the past,

1219
00:57:43,720 --> 00:57:46,880
Speaker 2: moderators quote will use all tools at their disposal to

1220
00:57:47,080 --> 00:57:50,040
Speaker 2: enforce timing and ensure a civilized discussion.

1221
00:57:50,320 --> 00:57:52,320
Speaker 3: But here let's get into the nitty gritty.

1222
00:57:52,600 --> 00:57:56,160
Speaker 2: In order to meet CNN's qualifications for the debate, candidates

1223
00:57:56,240 --> 00:57:59,040
Speaker 2: must satisfy requirements outlined in Article two, Section one of

1224
00:57:59,080 --> 00:58:02,000
Speaker 2: the US Constitutions Service President. Both Biden and Trump meet

1225
00:58:02,040 --> 00:58:05,800
Speaker 2: those requirements, as does RFK Junior, Cornell West, and Jill Stein.

1226
00:58:06,120 --> 00:58:09,080
Speaker 2: Participants must file a formal statement of candidcy to the FBC.

1227
00:58:09,520 --> 00:58:11,560
Speaker 3: All five have done, so here's where they get RFK.

1228
00:58:12,440 --> 00:58:16,360
Speaker 2: All participating debaters must appear on a sufficient number of

1229
00:58:16,400 --> 00:58:19,760
Speaker 2: state ballots to reach two hundred and seventy electoral vote

1230
00:58:19,800 --> 00:58:22,720
Speaker 2: threshold to win the presidency and receive at least fifteen

1231
00:58:22,800 --> 00:58:26,280
Speaker 2: percent in four separate national polls of registered or likely

1232
00:58:26,400 --> 00:58:30,720
Speaker 2: voters that meet CNN standards for reporting. Okay, so let's

1233
00:58:30,760 --> 00:58:32,480
Speaker 2: be very clear here about the polling in the two

1234
00:58:32,640 --> 00:58:35,880
Speaker 2: seventy requirement. Because here is how they are getting RFK.

1235
00:58:36,000 --> 00:58:38,080
Speaker 2: Let's go to the next part please. As you can

1236
00:58:38,120 --> 00:58:42,400
Speaker 2: see clearly, the Kennedy campaign has said he's submitted thirty

1237
00:58:42,400 --> 00:58:45,760
Speaker 2: three hundred signatures in Minnesota. On Friday listed the states

1238
00:58:46,080 --> 00:58:49,160
Speaker 2: nineteen states with two hundred and seventy seventy eight electoral

1239
00:58:49,280 --> 00:58:52,440
Speaker 2: votes where he claims ballot access, but at least half

1240
00:58:52,480 --> 00:58:55,640
Speaker 2: of those states have not yet verified that his submission

1241
00:58:55,960 --> 00:58:58,520
Speaker 2: is valid. So that, crystal is how they are really

1242
00:58:58,600 --> 00:59:03,280
Speaker 2: rigging it because outrighteous this because officially he's not on

1243
00:59:03,400 --> 00:59:06,200
Speaker 2: the ballot in those states half of those states, which

1244
00:59:06,360 --> 00:59:08,840
Speaker 2: why do they have any incentive to approve him in

1245
00:59:08,920 --> 00:59:09,360
Speaker 2: the interim?

1246
00:59:09,360 --> 00:59:10,000
Speaker 3: Why would you do it?

1247
00:59:10,080 --> 00:59:12,520
Speaker 2: They're like, no, we're keeping him off of the debate stage.

1248
00:59:13,400 --> 00:59:16,600
Speaker 2: He technically has qualified. He's going to qualify for two

1249
00:59:16,680 --> 00:59:20,640
Speaker 2: hundred and seventy eight electoral votes absence some crazy shenanigans.

1250
00:59:20,760 --> 00:59:22,959
Speaker 3: So this is my other thing too, when you look at.

1251
00:59:22,840 --> 00:59:26,000
Speaker 2: The rules, why is it that you're allowed to pull

1252
00:59:26,280 --> 00:59:29,160
Speaker 2: up to fifteen percent in non you know, there's no

1253
00:59:29,280 --> 00:59:32,480
Speaker 2: such thing as public polling in NBC poll whatever pole,

1254
00:59:32,560 --> 00:59:36,240
Speaker 2: So we can take like non official polling but officially

1255
00:59:36,280 --> 00:59:38,000
Speaker 2: you have to be on the ballot in for two

1256
00:59:38,040 --> 00:59:40,800
Speaker 2: hundred and seventy yeah votes, How does that make any sense?

1257
00:59:40,880 --> 00:59:41,520
Speaker 4: It sound right.

1258
00:59:41,880 --> 00:59:44,200
Speaker 3: It is just straight up rigged, like to keep him out.

1259
00:59:44,280 --> 00:59:44,640
Speaker 4: That's right.

1260
00:59:44,800 --> 00:59:47,520
Speaker 1: It's one hundred percent rigged to keep him out, There's

1261
00:59:47,680 --> 00:59:50,520
Speaker 1: no doubt about it. They're trying to put a pretense

1262
00:59:50,720 --> 00:59:53,960
Speaker 1: of neutrality on it, but they've made the criteria such

1263
00:59:54,040 --> 00:59:57,760
Speaker 1: that it is literally impossible for him or any other

1264
00:59:57,880 --> 01:00:00,800
Speaker 1: third party candidate to be able to to gain access

1265
01:00:00,840 --> 01:00:03,400
Speaker 1: under that criteria, because yeah, these states are all run

1266
01:00:03,480 --> 01:00:07,800
Speaker 1: by Democrats or Republicans. Neither group wants RFK Junior to

1267
01:00:07,880 --> 01:00:09,760
Speaker 1: be on that stage or to be on their ballots,

1268
01:00:09,800 --> 01:00:12,640
Speaker 1: by the way, and so they can drag their fee

1269
01:00:12,640 --> 01:00:15,680
Speaker 1: and take as long as they want to certify his signatures,

1270
01:00:15,720 --> 01:00:19,200
Speaker 1: et cetera. And so yeah, this is their mechanism in

1271
01:00:19,400 --> 01:00:21,320
Speaker 1: order to make it appear like, oh, we have these

1272
01:00:21,360 --> 01:00:23,600
Speaker 1: neutral criterion, you just didn't meet it. I'm sorry, you know,

1273
01:00:23,760 --> 01:00:27,920
Speaker 1: try harder next time. No, you made it literally impossible,

1274
01:00:28,000 --> 01:00:31,240
Speaker 1: and it is outrageous. I mean, I'm not surprised or

1275
01:00:31,480 --> 01:00:34,880
Speaker 1: we knew the moment that CNN announced that they were

1276
01:00:35,000 --> 01:00:37,720
Speaker 1: doing this debate and Trump and Biden greed, et cetera.

1277
01:00:37,560 --> 01:00:38,000
Speaker 3: Et cetera.

1278
01:00:38,240 --> 01:00:40,080
Speaker 4: We knew what it was going to look like.

1279
01:00:40,320 --> 01:00:44,240
Speaker 1: But you know, this should be something, these debates should

1280
01:00:44,280 --> 01:00:47,680
Speaker 1: be something that is really protected in a democracy, you know,

1281
01:00:48,160 --> 01:00:50,800
Speaker 1: But the Biden people want to talk all about preserving democracy,

1282
01:00:50,840 --> 01:00:54,520
Speaker 1: et cetera, et cetera. It is dramatically anti democratic to

1283
01:00:54,760 --> 01:00:58,720
Speaker 1: block out the most significant third party candidate that we've had,

1284
01:00:59,040 --> 01:00:59,840
Speaker 1: what since Ross.

1285
01:00:59,720 --> 01:01:02,640
Speaker 3: Perot, literally since Rossboro. So it's ninety ninety two, so it's.

1286
01:01:02,600 --> 01:01:06,560
Speaker 1: Fifteen percent in multiple polls. You have a lot of

1287
01:01:06,920 --> 01:01:09,760
Speaker 1: we covered earlier the number of quote unquote deciders, people

1288
01:01:09,800 --> 01:01:12,720
Speaker 1: who you know are still contemplating which way they want

1289
01:01:12,760 --> 01:01:15,080
Speaker 1: to go. A disproportionate number of them are open to

1290
01:01:15,160 --> 01:01:18,000
Speaker 1: RFK Junior, And you just want to shut out the

1291
01:01:18,040 --> 01:01:20,160
Speaker 1: ability of American people to hear what this man has

1292
01:01:20,200 --> 01:01:22,120
Speaker 1: to say. Now, you guys know, I'm not an RFK

1293
01:01:22,280 --> 01:01:24,080
Speaker 1: Junior fan. I'm not voting for him. I got all

1294
01:01:24,200 --> 01:01:26,600
Speaker 1: kinds of issues with him. So this isn't about him

1295
01:01:26,680 --> 01:01:30,280
Speaker 1: his politics, but support for him specifically. This is about

1296
01:01:30,320 --> 01:01:34,520
Speaker 1: a democratic process that they have no regard for, and

1297
01:01:34,600 --> 01:01:37,200
Speaker 1: it really is outrageous. People should be outraged and they

1298
01:01:37,200 --> 01:01:40,400
Speaker 1: should be disgusted. And CNN knows that if they actually

1299
01:01:40,600 --> 01:01:43,240
Speaker 1: understood what was happening, it would be a problem for them,

1300
01:01:43,240 --> 01:01:45,520
Speaker 1: which is why they go to lengths to try to

1301
01:01:45,640 --> 01:01:48,520
Speaker 1: hide the fact that they just rigged it and made

1302
01:01:48,520 --> 01:01:52,000
Speaker 1: it impossible for him or again anyone else, any other

1303
01:01:52,080 --> 01:01:54,320
Speaker 1: third party candidate to have a chance of making it

1304
01:01:54,400 --> 01:01:54,840
Speaker 1: on that stage.

1305
01:01:54,920 --> 01:01:56,960
Speaker 2: And it's not fair too, because the Trump people are like,

1306
01:01:57,040 --> 01:01:58,920
Speaker 2: he's in this to hurt Trump. The Biden people are like,

1307
01:01:58,960 --> 01:02:00,840
Speaker 2: he's in this to hurt Biden. By his own words,

1308
01:02:00,880 --> 01:02:02,560
Speaker 2: he's in this to hurt quote unquote, I want to

1309
01:02:02,600 --> 01:02:05,040
Speaker 2: be damaging to both candidates. He's really running on his

1310
01:02:05,160 --> 01:02:05,560
Speaker 2: own name.

1311
01:02:05,640 --> 01:02:07,880
Speaker 3: Take a listen to his recent comments on Piers Morgan.

1312
01:02:08,040 --> 01:02:12,040
Speaker 10: If the three way race occurred today, president Trump wins,

1313
01:02:13,320 --> 01:02:18,080
Speaker 10: and if I if I drop out of that race,

1314
01:02:18,480 --> 01:02:22,680
Speaker 10: president Trump wins even more. He wins two extra states,

1315
01:02:22,960 --> 01:02:27,840
Speaker 10: which are would be Maine and Virginia. So I think

1316
01:02:28,000 --> 01:02:31,080
Speaker 10: my presence in the race helps President vind at this point,

1317
01:02:31,200 --> 01:02:33,480
Speaker 10: I'm hoping in the long run that I'll be very

1318
01:02:33,600 --> 01:02:37,920
Speaker 10: damaging to both of the candidates. So but also, you know,

1319
01:02:38,360 --> 01:02:41,840
Speaker 10: all of our palling is showing that I'm bringing in

1320
01:02:41,920 --> 01:02:43,640
Speaker 10: a lot of people who had given up on the

1321
01:02:43,680 --> 01:02:47,120
Speaker 10: political process, people who weren't going to vote this this

1322
01:02:47,360 --> 01:02:49,680
Speaker 10: cycle if I am not in the race.

1323
01:02:49,880 --> 01:02:52,400
Speaker 2: So there you go, he says, I'm hoping in the

1324
01:02:52,440 --> 01:02:54,680
Speaker 2: long run that I'll be very damaging to both of

1325
01:02:54,760 --> 01:02:57,400
Speaker 2: the candidates. He's not, you know, the ammunition that both

1326
01:02:57,440 --> 01:02:59,360
Speaker 2: of these people really want for him, which is why

1327
01:02:59,400 --> 01:03:01,800
Speaker 2: it's kind of and the more he plays into that,

1328
01:03:01,880 --> 01:03:04,000
Speaker 2: the better off I think he's going to be. Because

1329
01:03:04,040 --> 01:03:07,280
Speaker 2: that gets to the critical I hate both parties demographic, which,

1330
01:03:07,520 --> 01:03:09,520
Speaker 2: as you and I just saw yesterday, that's a full

1331
01:03:09,600 --> 01:03:13,120
Speaker 2: twenty five percent of the entire electorate. That's huge. There's

1332
01:03:13,280 --> 01:03:15,560
Speaker 2: tens of millions of people. If he was on the

1333
01:03:15,600 --> 01:03:18,360
Speaker 2: ballot in all fifty states. I mean, I'm not saying

1334
01:03:18,400 --> 01:03:19,960
Speaker 2: I would win any single state.

1335
01:03:19,880 --> 01:03:21,920
Speaker 3: But I think he would get a good portion of

1336
01:03:21,920 --> 01:03:23,480
Speaker 3: the vote. I think you get twenty twenty five?

1337
01:03:23,560 --> 01:03:24,000
Speaker 4: Do you think so?

1338
01:03:24,160 --> 01:03:24,680
Speaker 3: Yeah? I think so.

1339
01:03:25,160 --> 01:03:27,280
Speaker 4: I don't think so, but I think he would.

1340
01:03:27,040 --> 01:03:27,520
Speaker 3: Get twenty five.

1341
01:03:27,640 --> 01:03:28,200
Speaker 4: I think he would.

1342
01:03:28,200 --> 01:03:30,800
Speaker 1: I think it would get double digits potentially in that

1343
01:03:32,480 --> 01:03:35,000
Speaker 1: astonishing right. I mean, double digits would be would be

1344
01:03:35,360 --> 01:03:38,240
Speaker 1: very significant and a real break from you know, recent history.

1345
01:03:38,680 --> 01:03:40,600
Speaker 1: I just say that because I do think when you

1346
01:03:40,680 --> 01:03:43,440
Speaker 1: come down to it, people recognize the sys to political

1347
01:03:43,480 --> 01:03:46,040
Speaker 1: system we're in, and that unfortunately, we're in a position

1348
01:03:46,120 --> 01:03:47,640
Speaker 1: where you really, at the end of the day, it's

1349
01:03:47,640 --> 01:03:49,040
Speaker 1: gonna be one of the other, and people kind of

1350
01:03:49,080 --> 01:03:50,880
Speaker 1: feel like, all right, well, I got to pick between

1351
01:03:50,920 --> 01:03:53,760
Speaker 1: one of them. Third party candid support falls off, et cetera.

1352
01:03:53,880 --> 01:03:58,840
Speaker 1: Not to mention that because he so far, the polls

1353
01:03:58,840 --> 01:04:02,000
Speaker 1: are really mixed about who he quote unquote takes more from.

1354
01:04:02,080 --> 01:04:04,360
Speaker 1: And I think he's right that a significant number of

1355
01:04:04,400 --> 01:04:07,880
Speaker 1: his voters too just probably wouldn't vote yes otherwise, So

1356
01:04:07,960 --> 01:04:09,800
Speaker 1: I think he's correct about that. But it has been

1357
01:04:09,960 --> 01:04:12,680
Speaker 1: very mixed over which side he takes more from, which

1358
01:04:12,760 --> 01:04:15,840
Speaker 1: means that he's also taking incoming from both sides. And

1359
01:04:15,960 --> 01:04:17,720
Speaker 1: I do think, you know, at a certain point that

1360
01:04:18,200 --> 01:04:20,280
Speaker 1: we've already seen that he's taken on water from that.

1361
01:04:20,520 --> 01:04:23,120
Speaker 1: If you look at his polling over time, there has

1362
01:04:23,240 --> 01:04:26,400
Speaker 1: been a downward trend as he's getting hit by the

1363
01:04:26,480 --> 01:04:29,360
Speaker 1: Democrats and by the Republicans, and so you know, I

1364
01:04:29,400 --> 01:04:31,160
Speaker 1: think I think that's been a challenge for him. The

1365
01:04:31,240 --> 01:04:33,880
Speaker 1: other challenge for him, I think Dave Smith made this point,

1366
01:04:33,880 --> 01:04:36,720
Speaker 1: and I think he's right about this, is he had

1367
01:04:36,760 --> 01:04:40,600
Speaker 1: a very compelling and very unique positioning as a quote

1368
01:04:40,640 --> 01:04:43,160
Speaker 1: unquote anti war candidate when he was speaking out strongly

1369
01:04:43,200 --> 01:04:46,720
Speaker 1: against Ukraine, and then when October seventh happened, and he is,

1370
01:04:46,920 --> 01:04:50,160
Speaker 1: you know, at least as like zionist in pro Israel

1371
01:04:50,280 --> 01:04:54,720
Speaker 1: as Joe Biden, let alone Donald Trump. I think that

1372
01:04:55,040 --> 01:04:58,960
Speaker 1: really undercut his appeal among people who not only are

1373
01:04:59,000 --> 01:05:01,200
Speaker 1: anti war, but who just have that instinct of like,

1374
01:05:01,360 --> 01:05:03,280
Speaker 1: why are we spending all this money over here when

1375
01:05:03,320 --> 01:05:06,000
Speaker 1: we got problems back at home. I do think that

1376
01:05:06,200 --> 01:05:09,720
Speaker 1: his you know, the fact he isn't at all differentiated

1377
01:05:10,320 --> 01:05:13,680
Speaker 1: from Biden or Trump when it comes to, you know,

1378
01:05:13,920 --> 01:05:17,880
Speaker 1: the key foreign policy issue of our of the time

1379
01:05:18,000 --> 01:05:21,200
Speaker 1: right now, I think that is really limited his appeal.

1380
01:05:21,240 --> 01:05:23,959
Speaker 1: I think it's especially limited his appeal among young people,

1381
01:05:23,960 --> 01:05:26,760
Speaker 1: who otherwise, I believe would have been quite open to him.

1382
01:05:27,600 --> 01:05:30,160
Speaker 1: And so he also in that Peers Morgan interview, you

1383
01:05:30,440 --> 01:05:33,680
Speaker 1: can just hear like even now he's against a ceasefire,

1384
01:05:34,040 --> 01:05:36,160
Speaker 1: which does actually technically put him to the right of

1385
01:05:36,240 --> 01:05:39,120
Speaker 1: Joe Biden on this issue as well, really hasn't changed

1386
01:05:39,120 --> 01:05:41,680
Speaker 1: his tune at all vis a vi Israel. Let's take

1387
01:05:41,680 --> 01:05:43,040
Speaker 1: a listen to how he sounds today.

1388
01:05:43,160 --> 01:05:48,160
Speaker 11: Yeah, what point does this desperation to eliminate the last

1389
01:05:48,320 --> 01:05:52,920
Speaker 11: members of her mass get overtaken by the sheer volume

1390
01:05:52,960 --> 01:05:55,760
Speaker 11: of civilians being killed in the process, which I cannot

1391
01:05:55,800 --> 01:06:00,880
Speaker 11: believe will do anything longer term than ferment the ideology

1392
01:06:01,000 --> 01:06:02,680
Speaker 11: that drove for mass in the first place.

1393
01:06:05,040 --> 01:06:05,240
Speaker 9: Yeah.

1394
01:06:05,320 --> 01:06:08,000
Speaker 10: I mean, you're asking a lot of questions, and I

1395
01:06:08,240 --> 01:06:10,240
Speaker 10: you know, I'd like you to give me time to

1396
01:06:10,360 --> 01:06:13,640
Speaker 10: answer them, you know, and you could ask the same

1397
01:06:13,840 --> 01:06:17,040
Speaker 10: You brought up Nazi Germany as a kind of an

1398
01:06:17,080 --> 01:06:21,520
Speaker 10: analogy for what's happening in the middies and not, you know,

1399
01:06:21,840 --> 01:06:26,960
Speaker 10: in nineteen forty five or forty four, at Casablanca, A.

1400
01:06:27,160 --> 01:06:30,800
Speaker 10: Churchill and Roosevelt had an argument because Roosevelt said, we

1401
01:06:30,920 --> 01:06:35,040
Speaker 10: have to denacify Germany, and if we don't denosify Germany,

1402
01:06:35,440 --> 01:06:39,000
Speaker 10: it is going to you know, the Nazis is going

1403
01:06:39,040 --> 01:06:40,240
Speaker 10: to rise up and do the same thing.

1404
01:06:40,320 --> 01:06:40,600
Speaker 5: Again.

1405
01:06:41,800 --> 01:06:45,160
Speaker 10: Churchill did not want an unconditional surrender for the Nazis.

1406
01:06:45,240 --> 01:06:47,240
Speaker 10: He said, we'll have to kill too many civilians to

1407
01:06:47,320 --> 01:06:49,280
Speaker 10: do that, and everybody will fight for the death. But

1408
01:06:49,560 --> 01:06:55,560
Speaker 10: Roosevelt won that argument. We killed about about two million

1409
01:06:55,640 --> 01:06:58,920
Speaker 10: Germans during World War Two in order to get to

1410
01:06:59,000 --> 01:07:02,240
Speaker 10: Berlin and d Nazi. Today, Germany is the richest country

1411
01:07:02,280 --> 01:07:04,680
Speaker 10: in Europe. It's one of the most powerful economies in

1412
01:07:04,720 --> 01:07:07,920
Speaker 10: the world. I think it's the fourth most powerful. And

1413
01:07:08,160 --> 01:07:11,360
Speaker 10: nobody's scared of Germany because of the peaceful country. So

1414
01:07:11,680 --> 01:07:14,200
Speaker 10: I don't see how people who are saying, well, you

1415
01:07:14,240 --> 01:07:17,120
Speaker 10: should have a ceasfire, then what and what you've You've

1416
01:07:17,320 --> 01:07:22,440
Speaker 10: rewarded Hamas for taking hostages, and they're going to keep

1417
01:07:22,480 --> 01:07:24,760
Speaker 10: taking hostages to get more and more advantage.

1418
01:07:25,040 --> 01:07:27,840
Speaker 1: So in any case, he really hasn't changed his tomb.

1419
01:07:27,840 --> 01:07:31,000
Speaker 1: We're still doing the World War two Nazi comparisons. I

1420
01:07:31,040 --> 01:07:33,480
Speaker 1: guess theoretically then we should be maybe, you know, considering

1421
01:07:33,560 --> 01:07:39,080
Speaker 1: nukes in Gaza, as others have also suggested. And you know,

1422
01:07:39,200 --> 01:07:41,920
Speaker 1: I just I do want to grapple directly with this

1423
01:07:42,120 --> 01:07:45,360
Speaker 1: idea that you can be quote unquote rewarding Hamas if

1424
01:07:45,440 --> 01:07:50,440
Speaker 1: you had a ceasefire agreement. You know, allegedly Hamas doesn't

1425
01:07:50,480 --> 01:07:53,920
Speaker 1: want a two state solution. Allegedly Hamas doesn't care about

1426
01:07:54,080 --> 01:07:57,880
Speaker 1: Palestinian civilians, So in what way does it quote unquote

1427
01:07:57,920 --> 01:07:59,160
Speaker 1: reward Hamas.

1428
01:07:58,920 --> 01:07:59,720
Speaker 4: To have a ceasefire.

1429
01:07:59,720 --> 01:08:02,120
Speaker 1: I mean, it's also just at this point, it's like,

1430
01:08:02,720 --> 01:08:06,120
Speaker 1: how many people, how many dead civilians is acceptable to

1431
01:08:06,200 --> 01:08:10,640
Speaker 1: you because we are at just insane levels of death

1432
01:08:10,720 --> 01:08:14,280
Speaker 1: and destruction annihilation, you know, far more than actually dressed

1433
01:08:14,320 --> 01:08:16,479
Speaker 1: in in World War Two.

1434
01:08:16,680 --> 01:08:18,760
Speaker 4: But in any case, this is where he is.

1435
01:08:18,840 --> 01:08:22,280
Speaker 1: He's not moving is even now he's against a ceasefire.

1436
01:08:22,439 --> 01:08:24,360
Speaker 1: This is this is not a popular position, by the way.

1437
01:08:24,360 --> 01:08:25,560
Speaker 1: I mean, if you look at the country, if you

1438
01:08:25,680 --> 01:08:29,400
Speaker 1: ask what percentage of people are in favor of a ceasefire,

1439
01:08:29,479 --> 01:08:33,560
Speaker 1: it is overwhelming majorities in support. And so somehow his

1440
01:08:33,800 --> 01:08:36,519
Speaker 1: you know, anti war positioning and his rhetoric about you know,

1441
01:08:36,600 --> 01:08:39,160
Speaker 1: wanting to spend that money instead of overseas, focusing it

1442
01:08:39,240 --> 01:08:41,760
Speaker 1: at home, there's a big old car vaunt when it

1443
01:08:41,800 --> 01:08:42,519
Speaker 1: comes to Israel.

1444
01:08:42,680 --> 01:08:42,880
Speaker 3: Yeah.

1445
01:08:43,360 --> 01:08:45,360
Speaker 2: Look, I mean, I guess the only thing you can

1446
01:08:45,400 --> 01:08:48,120
Speaker 2: say about it is he definitely believes it, because there

1447
01:08:48,160 --> 01:08:50,120
Speaker 2: would be really no other reason to say it at

1448
01:08:50,160 --> 01:08:51,160
Speaker 2: this point electorally.

1449
01:08:51,280 --> 01:08:51,320
Speaker 1: So.

1450
01:08:51,600 --> 01:08:54,240
Speaker 2: At the same time, Titanic story in the state of

1451
01:08:54,400 --> 01:08:58,320
Speaker 2: New Jersey, in a plot line straight out of the Sopranos,

1452
01:08:58,439 --> 01:09:02,600
Speaker 2: where a democratic power broker is accused of working with

1453
01:09:02,720 --> 01:09:06,800
Speaker 2: real estate developers to jack up prices on the city waterfront,

1454
01:09:07,080 --> 01:09:10,599
Speaker 2: and then attends the press conference where the new Jersey

1455
01:09:10,680 --> 01:09:14,439
Speaker 2: Attorney General indicts him to his face, let's take a lesson.

1456
01:09:14,520 --> 01:09:16,799
Speaker 12: We're here today to announce the unsealing of a thirteen

1457
01:09:16,880 --> 01:09:20,040
Speaker 12: count indictment charging George Norcross with leading a criminal enterprise,

1458
01:09:20,520 --> 01:09:23,160
Speaker 12: of which his five co defendants in this case, along

1459
01:09:23,200 --> 01:09:27,080
Speaker 12: with several unindicted co conspirators, were allegedly members. The state

1460
01:09:27,160 --> 01:09:32,560
Speaker 12: alleges that defendants George Norcross, Philip Norcross, William Tambussi, the

1461
01:09:32,680 --> 01:09:37,280
Speaker 12: former mayor of Camden, Dana Redd, Sidney Brown, and John

1462
01:09:37,320 --> 01:09:41,120
Speaker 12: O'Donnell committed the crime of first degree racketeering conspiracy, among

1463
01:09:41,200 --> 01:09:44,839
Speaker 12: other offenses, to further the purposes of the Norcross Enterprise.

1464
01:09:45,200 --> 01:09:48,040
Speaker 12: The abandoned industrial sites along the Campden Waterfront had the

1465
01:09:48,080 --> 01:09:51,680
Speaker 12: potential to serve as the city's salvation, but, as the

1466
01:09:51,720 --> 01:09:56,360
Speaker 12: state alleges, the Norcross Enterprise manipulated government programs and processes

1467
01:09:56,439 --> 01:10:01,000
Speaker 12: designed to attract development and investment to instead suit their

1468
01:10:01,080 --> 01:10:05,760
Speaker 12: own financial desires. Instead of contributing to the successes of

1469
01:10:05,840 --> 01:10:08,960
Speaker 12: the City of Camden, through a series of criminal acts

1470
01:10:09,040 --> 01:10:13,000
Speaker 12: alleged in the state's case, the Norcross Enterprise took the

1471
01:10:13,080 --> 01:10:18,920
Speaker 12: Camden waterfront all for themselves, as George Norcross himself allegedly said, quote,

1472
01:10:19,520 --> 01:10:20,840
Speaker 12: this is for our friends.

1473
01:10:21,280 --> 01:10:24,240
Speaker 2: End quote, this is for our friends. The details of

1474
01:10:24,240 --> 01:10:26,599
Speaker 2: this nuts, let's put this up there on the screen.

1475
01:10:26,720 --> 01:10:30,000
Speaker 2: It is so funny. In this recorded phone call, he

1476
01:10:30,160 --> 01:10:32,240
Speaker 2: literally has a developer who asked him on the phone,

1477
01:10:32,280 --> 01:10:36,240
Speaker 2: are you threatening me? And that he says absolutely recorded

1478
01:10:36,320 --> 01:10:39,280
Speaker 2: phone call and look, let me just repeat like this

1479
01:10:39,479 --> 01:10:42,960
Speaker 2: is this quite literally is a plot line out of

1480
01:10:42,960 --> 01:10:47,120
Speaker 2: the Sopranos. The indictment accuses mister Norcross of bullying rival

1481
01:10:47,200 --> 01:10:49,880
Speaker 2: developers who were trying to capitalize on a push to

1482
01:10:50,000 --> 01:10:54,440
Speaker 2: revitalize the waterfront in Camden, a poor city outside of Philadelphia,

1483
01:10:54,520 --> 01:10:58,240
Speaker 2: long plagued by violent crime. And they talk about how

1484
01:10:58,320 --> 01:11:01,040
Speaker 2: he showed up to the press confer like I said,

1485
01:11:01,080 --> 01:11:02,439
Speaker 2: we have a photo of that.

1486
01:11:02,560 --> 01:11:04,439
Speaker 3: Actually, if we want to put that look out, it's

1487
01:11:04,560 --> 01:11:06,280
Speaker 3: right there in front row.

1488
01:11:06,800 --> 01:11:10,000
Speaker 2: As he gets redicted, Yeah, I know this is I

1489
01:11:10,040 --> 01:11:12,920
Speaker 2: don't know what's happening in this country, but whatever he's

1490
01:11:12,960 --> 01:11:15,080
Speaker 2: bringing his he lives in Florida right now, so apparently

1491
01:11:15,120 --> 01:11:17,760
Speaker 2: he's bringing his Florida bullshit to New Jersey. That's not

1492
01:11:17,800 --> 01:11:19,559
Speaker 2: how we dressed in our suits here in the East Coast,

1493
01:11:19,600 --> 01:11:22,960
Speaker 2: mister Norcross. But you know what we see here is

1494
01:11:23,040 --> 01:11:27,720
Speaker 2: that Norcross basically controlled the state for twenty years. He

1495
01:11:28,360 --> 01:11:31,639
Speaker 2: was reportedly quote a close friend of House Speaker Nancy

1496
01:11:31,680 --> 01:11:35,400
Speaker 2: Pelosi and also a member of mar A Lago. Now,

1497
01:11:35,520 --> 01:11:38,840
Speaker 2: I mean, this is the epitome of the wheeler dealer.

1498
01:11:39,240 --> 01:11:42,519
Speaker 2: The state of New Jersey never elected to anything major

1499
01:11:42,680 --> 01:11:45,320
Speaker 2: to Chris Christie, too super close to Chris Christie. He

1500
01:11:45,400 --> 01:11:48,760
Speaker 2: knows everybody who is in the state, has helped half

1501
01:11:48,840 --> 01:11:51,840
Speaker 2: the governors of the last twenty years get elected, and

1502
01:11:51,960 --> 01:11:56,160
Speaker 2: he's milked them for millions and millions of dollars. And

1503
01:11:56,800 --> 01:12:00,479
Speaker 2: it's just shocking to me that that it almost fills

1504
01:12:00,600 --> 01:12:04,120
Speaker 2: like the meme and the like the fictional the fictional

1505
01:12:04,200 --> 01:12:07,519
Speaker 2: plot lines, and it's all actually happening in reality.

1506
01:12:07,560 --> 01:12:10,120
Speaker 3: It's like, that's what this was. It's the real story

1507
01:12:10,360 --> 01:12:11,360
Speaker 3: that we could see very clear.

1508
01:12:11,760 --> 01:12:14,840
Speaker 1: Yeah. No, I mean the movies get their ideas from somewhere, right.

1509
01:12:15,280 --> 01:12:19,160
Speaker 1: We actually just finished rewatching Sopranos, so straight out over there. Oh,

1510
01:12:19,200 --> 01:12:22,639
Speaker 1: it's so it is so great. We watched Boardwalk Empire

1511
01:12:22,680 --> 01:12:23,479
Speaker 1: this year as well.

1512
01:12:23,720 --> 01:12:24,160
Speaker 3: Great show.

1513
01:12:24,240 --> 01:12:27,000
Speaker 1: Straight out of there as well. This corruption Neil straight

1514
01:12:27,040 --> 01:12:29,880
Speaker 1: out of there as well. The wire They also had

1515
01:12:29,960 --> 01:12:31,360
Speaker 1: their property.

1516
01:12:31,560 --> 01:12:34,680
Speaker 3: And why is waterfront always being revitalized?

1517
01:12:34,720 --> 01:12:39,439
Speaker 1: This is just this is classic bread and butter corruption

1518
01:12:39,800 --> 01:12:42,680
Speaker 1: because yeah, it's like, okay, well, the government officials have

1519
01:12:42,760 --> 01:12:46,680
Speaker 1: advance knowledge of this big revitalization effort or whatever, and

1520
01:12:46,760 --> 01:12:49,200
Speaker 1: then they controlled the bidding process to make sure it's

1521
01:12:49,240 --> 01:12:51,599
Speaker 1: their friends and their buddies who were positioned to cash

1522
01:12:51,680 --> 01:12:55,080
Speaker 1: in on this new development. And this guy got away

1523
01:12:55,120 --> 01:12:58,559
Speaker 1: with it for years because he was buddies with Chris Christy,

1524
01:12:58,680 --> 01:13:00,679
Speaker 1: he was buddies with the Democrat and he was buddy

1525
01:13:00,680 --> 01:13:03,000
Speaker 1: he was with Nancy. But he was connected across He

1526
01:13:03,160 --> 01:13:07,280
Speaker 1: was truly bipartisan, truly by parts of real unifier across

1527
01:13:07,800 --> 01:13:10,880
Speaker 1: both the parties, even though obviously because Democrats usually aren't

1528
01:13:10,880 --> 01:13:13,120
Speaker 1: control of New Jersey is more closely affiliated with the

1529
01:13:13,160 --> 01:13:16,439
Speaker 1: Democratic Party. Was just like South Jersey power broker again

1530
01:13:17,320 --> 01:13:20,400
Speaker 1: across the aisle. It was only when he sort of

1531
01:13:20,439 --> 01:13:24,280
Speaker 1: got crosswise with the new administration that suddenly this became

1532
01:13:24,479 --> 01:13:27,679
Speaker 1: an issue, and so he and the current Governor Phil

1533
01:13:27,800 --> 01:13:31,559
Speaker 1: Murphy apparently they were at it and then this attorney

1534
01:13:31,640 --> 01:13:34,120
Speaker 1: general who's announcing this prosecution.

1535
01:13:34,560 --> 01:13:36,920
Speaker 4: They had issues with each other.

1536
01:13:37,320 --> 01:13:40,679
Speaker 1: Now, reportedly, according to the news article that I read,

1537
01:13:41,760 --> 01:13:46,000
Speaker 1: he and Phil Murphy, though the governor, have reportedly reconciled,

1538
01:13:46,720 --> 01:13:49,760
Speaker 1: and perhaps part wise because Phil Murphy is now doing

1539
01:13:49,800 --> 01:13:56,080
Speaker 1: his own tax credit development scheme, so maybe he doesn't

1540
01:13:56,080 --> 01:13:57,760
Speaker 1: want to be so critical of what was going on

1541
01:13:57,880 --> 01:13:59,880
Speaker 1: here with Norcross at this point now that he may

1542
01:14:00,040 --> 01:14:03,760
Speaker 1: also be vulnerable to these charges of political favoritism. Just

1543
01:14:03,840 --> 01:14:05,920
Speaker 1: suggesting that that could be something that's going on in

1544
01:14:05,960 --> 01:14:06,439
Speaker 1: the background.

1545
01:14:06,439 --> 01:14:07,240
Speaker 4: Here're not too sure.

1546
01:14:07,760 --> 01:14:10,000
Speaker 3: It's like, is it possible to do business in this

1547
01:14:10,120 --> 01:14:11,559
Speaker 3: state and just not.

1548
01:14:11,840 --> 01:14:13,599
Speaker 4: He's doing business, you know, yeah, It's like, oh, he's

1549
01:14:13,600 --> 01:14:14,520
Speaker 4: doing business.

1550
01:14:14,400 --> 01:14:17,280
Speaker 2: Do business in the state, and people can get elected

1551
01:14:17,360 --> 01:14:20,400
Speaker 2: and people don't have to be constantly bilking water at

1552
01:14:20,439 --> 01:14:21,840
Speaker 2: this point, any waterfront development.

1553
01:14:21,840 --> 01:14:24,240
Speaker 3: I'm like, this is a scam, like anything that's happening

1554
01:14:24,360 --> 01:14:25,599
Speaker 3: in front of this thing.

1555
01:14:25,640 --> 01:14:28,160
Speaker 4: So anyway, well, Trump might have to I'll say about that, well,

1556
01:14:28,280 --> 01:14:28,759
Speaker 4: you certainly.

1557
01:14:28,960 --> 01:14:32,519
Speaker 2: A spokesperson for mister Murphy said the governor had no comment.

1558
01:14:33,080 --> 01:14:36,759
Speaker 2: In addition to mister Norcross, his brother was also charged

1559
01:14:36,800 --> 01:14:40,640
Speaker 2: again fulfilling the the mean. His lawyer was charged to

1560
01:14:40,720 --> 01:14:45,120
Speaker 2: the CEO of the quote Camden Community Partnership, a chief

1561
01:14:45,200 --> 01:14:49,320
Speaker 2: executive of the trucking and logistics company, and someone who

1562
01:14:49,400 --> 01:14:52,760
Speaker 2: had been in the executive leadership of residential development. So

1563
01:14:52,880 --> 01:14:55,799
Speaker 2: again literally out of the mob, you have trucking logistics,

1564
01:14:56,040 --> 01:14:59,160
Speaker 2: you have waterfront development, real estate, you have tax dollars

1565
01:14:59,200 --> 01:15:02,200
Speaker 2: being illegally allegedly funneled across. And then you have this

1566
01:15:02,360 --> 01:15:06,120
Speaker 2: man who is so flagrantly like working the system that

1567
01:15:06,200 --> 01:15:09,240
Speaker 2: he shows up to his own indictment press conference. And

1568
01:15:09,520 --> 01:15:12,720
Speaker 2: remember with Menendez, Menendez got off. You know, this guy,

1569
01:15:12,840 --> 01:15:15,040
Speaker 2: he's got a lot of strings. He's probably helped, got

1570
01:15:15,040 --> 01:15:17,120
Speaker 2: a lot of judges on the bench. I wouldn't count

1571
01:15:17,160 --> 01:15:18,920
Speaker 2: him out just yet. This is a state case is

1572
01:15:18,960 --> 01:15:20,719
Speaker 2: on his turf. He may survive.

1573
01:15:20,840 --> 01:15:21,200
Speaker 4: You never know.

1574
01:15:21,320 --> 01:15:22,800
Speaker 2: He's got a few million in the bank. You know,

1575
01:15:22,840 --> 01:15:25,240
Speaker 2: it probably cost two million to defend. He's probably made

1576
01:15:25,280 --> 01:15:28,120
Speaker 2: twenty million or whatever off the deal. Probably a good transaction.

1577
01:15:28,200 --> 01:15:31,559
Speaker 1: Apparently he's also threatening to run as an independent, Oh smart,

1578
01:15:31,720 --> 01:15:34,320
Speaker 1: which would you know, could scare the Democrats, and then

1579
01:15:34,360 --> 01:15:36,160
Speaker 1: that could you be used as like a chit to

1580
01:15:36,280 --> 01:15:38,360
Speaker 1: try to you know, work the system in terms of

1581
01:15:38,479 --> 01:15:39,719
Speaker 1: his political issues.

1582
01:15:40,040 --> 01:15:42,200
Speaker 4: So that's the theory of what he's up to at

1583
01:15:42,240 --> 01:15:42,679
Speaker 4: this point.

1584
01:15:42,840 --> 01:15:45,960
Speaker 1: But you know, when I ran for Congress, I'm doing

1585
01:15:46,080 --> 01:15:48,679
Speaker 1: my what they call call time where you're like cycling

1586
01:15:48,720 --> 01:15:50,840
Speaker 1: through trying to beg these people for money a day

1587
01:15:50,920 --> 01:15:51,679
Speaker 1: in and day out.

1588
01:15:51,600 --> 01:15:52,599
Speaker 3: Which is horrible.

1589
01:15:53,000 --> 01:15:54,760
Speaker 1: And you get a list, you get a sheet that

1590
01:15:54,920 --> 01:15:57,160
Speaker 1: has at this you know, this was fifteen years ago,

1591
01:15:57,240 --> 01:15:59,240
Speaker 1: so I'm sure the process has changed somewhat. But me so,

1592
01:15:59,320 --> 01:16:01,519
Speaker 1: you get a sheet that all their political giving history,

1593
01:16:01,560 --> 01:16:03,280
Speaker 1: so you can see, you can get a sense of

1594
01:16:03,320 --> 01:16:06,800
Speaker 1: their ideality. Oh, they gave to the you know, conservationally,

1595
01:16:06,880 --> 01:16:09,640
Speaker 1: they're environmentalists, they gave to Emily's Lost, They you know,

1596
01:16:09,720 --> 01:16:12,560
Speaker 1: are into women in pro choice or whatever. And you

1597
01:16:12,640 --> 01:16:14,880
Speaker 1: can see what Democrats they gave to a Republicans. And

1598
01:16:14,960 --> 01:16:17,120
Speaker 1: I was so naive at this point. I would see

1599
01:16:17,120 --> 01:16:19,920
Speaker 1: these people who gave like fifty to fifty Republican a Democrat, like.

1600
01:16:20,000 --> 01:16:21,120
Speaker 4: How does that make any sense?

1601
01:16:21,439 --> 01:16:22,400
Speaker 3: How does it make any sense?

1602
01:16:23,080 --> 01:16:24,880
Speaker 1: This is how it makes sense because and it was

1603
01:16:24,960 --> 01:16:27,000
Speaker 1: a lot of times it would be like developers, you know,

1604
01:16:27,720 --> 01:16:30,240
Speaker 1: because they want to be connected and have access and

1605
01:16:30,360 --> 01:16:33,640
Speaker 1: have that forward knowledge, that insider knowledge of what's coming up.

1606
01:16:33,680 --> 01:16:35,160
Speaker 1: They want to be in line to get you know,

1607
01:16:35,520 --> 01:16:41,040
Speaker 1: priority picking when there is a bidding contract process, or

1608
01:16:41,080 --> 01:16:43,160
Speaker 1: when you've got the opportunity to get these tax credits,

1609
01:16:43,160 --> 01:16:45,120
Speaker 1: et cetera. They want to be the front of the line.

1610
01:16:45,240 --> 01:16:47,080
Speaker 1: They want you to pick up their calls, whether they

1611
01:16:47,080 --> 01:16:48,880
Speaker 1: don't care whether they're a Democrat or a Republican. They're

1612
01:16:48,880 --> 01:16:51,120
Speaker 1: a member of the Green Party, but not the one

1613
01:16:51,160 --> 01:16:53,320
Speaker 1: that Jill stat is affiliated with, the one that is

1614
01:16:53,439 --> 01:16:56,360
Speaker 1: the color of our money. So you want to talk

1615
01:16:56,400 --> 01:16:58,880
Speaker 1: about some of the real influencers in high roles or politics,

1616
01:16:58,920 --> 01:17:00,680
Speaker 1: they look a lot like the dude right here.

1617
01:17:00,880 --> 01:17:01,799
Speaker 3: Yep, very exactly.

1618
01:17:01,880 --> 01:17:04,040
Speaker 2: That's why we covered it because it's like, this is

1619
01:17:04,120 --> 01:17:07,160
Speaker 2: the real insight how do politics works? Yeah, those fifty

1620
01:17:07,200 --> 01:17:08,960
Speaker 2: to fifty guys, they're not doing it and out of

1621
01:17:09,000 --> 01:17:09,880
Speaker 2: the goodness of their heart.

1622
01:17:10,000 --> 01:17:12,680
Speaker 3: It's just all about business. So yeah, there you go.

1623
01:17:15,320 --> 01:17:20,080
Speaker 1: And astonishing bombshell report coming out of Israeli media. This

1624
01:17:20,240 --> 01:17:25,800
Speaker 1: was actually first obtained by an Israeli public broadcaster. You know,

1625
01:17:25,920 --> 01:17:29,280
Speaker 1: there has long been discussion of what the IDF and

1626
01:17:29,360 --> 01:17:32,880
Speaker 1: the Israeli government may have known in advance of October seventh,

1627
01:17:33,240 --> 01:17:36,360
Speaker 1: you had a group of actually mostly women, who were

1628
01:17:36,600 --> 01:17:41,439
Speaker 1: observing preparatory activities of Hamas in advance of October seventh,

1629
01:17:41,479 --> 01:17:44,960
Speaker 1: who claimed they had warned their superiors or basically ignored. Well,

1630
01:17:45,080 --> 01:17:48,120
Speaker 1: now we have an IDF document that has been revealed

1631
01:17:48,160 --> 01:17:51,800
Speaker 1: that was distributed two weeks before October seventh, that had

1632
01:17:52,040 --> 01:17:57,320
Speaker 1: granular details of the way that October seventh would unfold.

1633
01:17:58,200 --> 01:18:01,479
Speaker 1: I'm going to play you the report that aired in

1634
01:18:01,680 --> 01:18:04,880
Speaker 1: Israeli media. It was originally in Hebrew. We have a

1635
01:18:05,040 --> 01:18:08,760
Speaker 1: dubbed English version. Now, we hadn't been able to specifically

1636
01:18:09,200 --> 01:18:13,160
Speaker 1: verify this translation. However, we did check the key details

1637
01:18:13,560 --> 01:18:15,840
Speaker 1: and they match up with other reporting, which is why

1638
01:18:15,880 --> 01:18:18,040
Speaker 1: we feel comfortable showing it to you, But just wanted

1639
01:18:18,080 --> 01:18:19,920
Speaker 1: to give you that disclaimer that we have not been

1640
01:18:19,960 --> 01:18:24,040
Speaker 1: able to officially verify this dubbed English translation. Nevertheless, let's

1641
01:18:24,040 --> 01:18:24,720
Speaker 1: take a listen to this.

1642
01:18:24,760 --> 01:18:27,559
Speaker 13: Report, almost nine months to the return in October, while

1643
01:18:27,600 --> 01:18:30,559
Speaker 13: the IDEF still hasn't published the investigations of the default,

1644
01:18:30,960 --> 01:18:33,679
Speaker 13: we are tonight revealing the intelligence document of eight hundred

1645
01:18:33,720 --> 01:18:36,519
Speaker 13: minus two that was distributed only two weeks before that

1646
01:18:36,600 --> 01:18:39,720
Speaker 13: Sabbath and gave the Southern Command an accurate picture of

1647
01:18:39,760 --> 01:18:42,559
Speaker 13: the raid plan on the OTEF, including the exact number

1648
01:18:42,600 --> 01:18:45,439
Speaker 13: of abductees, that was rehearsed in advance by the terrorists.

1649
01:18:46,080 --> 01:18:47,800
Speaker 8: The document that came to us was compiled in the

1650
01:18:47,840 --> 01:18:50,840
Speaker 8: Gaza Committee and was given the title Detailed End to

1651
01:18:51,040 --> 01:18:55,639
Speaker 8: End Raid Training. It was distributed on September nineteen, twenty

1652
01:18:55,720 --> 01:18:59,320
Speaker 8: twenty three, less than three weeks before the Hamas plan

1653
01:18:59,479 --> 01:19:00,840
Speaker 8: went into effect.

1654
01:19:03,560 --> 01:19:04,080
Speaker 12: Of death.

1655
01:19:04,120 --> 01:19:06,920
Speaker 8: The person who wrote it reveals in great detail a

1656
01:19:07,040 --> 01:19:10,599
Speaker 8: series of instructions from the elite unit of Hamas, the Nakfa,

1657
01:19:11,040 --> 01:19:15,599
Speaker 8: to attack military outposts Kibbutzim. This document starts by discussing

1658
01:19:15,640 --> 01:19:20,639
Speaker 8: Hamas's military arms company training sequences. Sweating Division's intelligence staff

1659
01:19:20,720 --> 01:19:25,719
Speaker 8: meticulously trailed every tiny detail kim. At eleven in the morning,

1660
01:19:25,880 --> 01:19:28,760
Speaker 8: several companies were observed gathering for the beginning of the faith,

1661
01:19:28,960 --> 01:19:33,719
Speaker 8: not before prayer and lunch. At twelve, equipment and weapons

1662
01:19:33,720 --> 01:19:36,320
Speaker 8: are distributed to the fighters, and then an exercise of

1663
01:19:36,360 --> 01:19:39,840
Speaker 8: when the company is ready. At two o'clock, the raid

1664
01:19:39,920 --> 01:19:43,040
Speaker 8: practices begin. The authors of the document detail a series

1665
01:19:43,080 --> 01:19:46,240
Speaker 8: of exercises carried out by Hamas forces before the attack ah.

1666
01:19:46,800 --> 01:19:49,800
Speaker 8: The military arm of the organization practice ground and air

1667
01:19:49,880 --> 01:19:52,400
Speaker 8: raids on Israeli territory in front of the eyes of

1668
01:19:52,439 --> 01:19:54,720
Speaker 8: the members of the Southern Command. The first step in

1669
01:19:54,760 --> 01:19:57,479
Speaker 8: the exercise, according to the document, is to open loopholes

1670
01:19:57,479 --> 01:19:59,880
Speaker 8: in the day Metsali situation built in a strip that's

1671
01:20:00,000 --> 01:20:03,559
Speaker 8: simulates the outposts in the Gaza envelope. After breaching the fence,

1672
01:20:03,640 --> 01:20:06,840
Speaker 8: they attack m The exercise was carried out by four

1673
01:20:06,920 --> 01:20:12,040
Speaker 8: companies and each company was assigned a different station. The

1674
01:20:12,160 --> 01:20:15,560
Speaker 8: Israeli intelligence officers who followed the exercise formulated in the

1675
01:20:15,640 --> 01:20:18,759
Speaker 8: document the next steps after the break into Israeli territory

1676
01:20:19,000 --> 01:20:21,680
Speaker 8: and the takeover of the outposts, the handing over of

1677
01:20:21,720 --> 01:20:24,919
Speaker 8: the soldiers and prisoners to the company commanders. The expected

1678
01:20:25,000 --> 01:20:27,760
Speaker 8: number of hostages was written between two hundred and two

1679
01:20:27,880 --> 01:20:31,000
Speaker 8: hundred and fifty people. The military targets of the raid

1680
01:20:31,080 --> 01:20:33,920
Speaker 8: that were also practiced were described in the document. The

1681
01:20:34,000 --> 01:20:38,240
Speaker 8: headquarters of the bases, control and control headquarters, the synagogues

1682
01:20:38,320 --> 01:20:44,400
Speaker 8: at the bases, the squadron headquarters, the communications headquarters, roiure systems,

1683
01:20:44,720 --> 01:20:47,880
Speaker 8: and the residences of the soldiers and female soldiers. And

1684
01:20:48,000 --> 01:20:50,280
Speaker 8: if what you have seen so far is not creepy, enough.

1685
01:20:50,720 --> 01:20:53,400
Speaker 8: Now it turns out that the intelligence of the Southern

1686
01:20:53,439 --> 01:20:56,240
Speaker 8: Command and the Gaza Strip was not only aware of

1687
01:20:56,320 --> 01:20:59,600
Speaker 8: the Hamas kidnapping plan, but in that document there is

1688
01:20:59,600 --> 01:21:03,200
Speaker 8: an ex exact breakdown of the conditions of the hostages detention,

1689
01:21:03,920 --> 01:21:07,479
Speaker 8: including instructions for the kidnappers and what to do in

1690
01:21:07,600 --> 01:21:10,040
Speaker 8: an extreme case, how to hold them and under what

1691
01:21:10,120 --> 01:21:12,120
Speaker 8: conditions the kidnappers can be executed.

1692
01:21:12,439 --> 01:21:15,200
Speaker 1: So you can hear from that report the level of

1693
01:21:15,760 --> 01:21:20,719
Speaker 1: detailed knowledge that they had just two weeks before October seventh.

1694
01:21:20,760 --> 01:21:22,400
Speaker 4: We can put this Jerusalem.

1695
01:21:22,040 --> 01:21:25,479
Speaker 1: Post report up on the screen that again verifies a

1696
01:21:25,520 --> 01:21:27,719
Speaker 1: lot of the key details. And that report that dubbed

1697
01:21:27,760 --> 01:21:30,719
Speaker 1: English report we just brought you they say. For example,

1698
01:21:30,840 --> 01:21:35,320
Speaker 1: report detailed that Israeli intelligence officials monitored the Hamas exercises,

1699
01:21:35,520 --> 01:21:38,439
Speaker 1: documented the steps Hamas planned to take after breaching is

1700
01:21:38,479 --> 01:21:41,559
Speaker 1: Really territory and taking over military posts, the expected number

1701
01:21:41,640 --> 01:21:44,400
Speaker 1: of hostages. According to the documents, between two hundred and

1702
01:21:44,400 --> 01:21:47,479
Speaker 1: two hundred and fifty people quote Israeli intelligence officials who

1703
01:21:47,520 --> 01:21:50,559
Speaker 1: monitor the exercise detail the next steps after breaching into

1704
01:21:50,680 --> 01:21:53,840
Speaker 1: Israel taking over the post. Determining that the instruction is

1705
01:21:53,920 --> 01:21:56,400
Speaker 1: to hand over the captured soldiers to the company commanders.

1706
01:21:56,439 --> 01:21:59,280
Speaker 1: The expected number of hostages, it states, is between two

1707
01:21:59,439 --> 01:22:03,640
Speaker 1: hundred and two hundred and fifty people. Now, we just

1708
01:22:03,800 --> 01:22:05,760
Speaker 1: to go back to that time, Soccer, because we talked

1709
01:22:05,800 --> 01:22:08,599
Speaker 1: about this a lot at the time. We've known from

1710
01:22:08,720 --> 01:22:13,479
Speaker 1: reporting early on that they had some indications that Hamas

1711
01:22:13,760 --> 01:22:17,120
Speaker 1: was planning something. We did not know the level of

1712
01:22:17,280 --> 01:22:21,600
Speaker 1: detail that they had, and it makes even more insane

1713
01:22:22,360 --> 01:22:27,639
Speaker 1: the decision to move a number of IDF soldiers from

1714
01:22:28,160 --> 01:22:32,479
Speaker 1: that area around the Gaza envelope to the West Bank

1715
01:22:32,600 --> 01:22:37,000
Speaker 1: to protect settlers, so leaving them exposed. And not only

1716
01:22:37,200 --> 01:22:40,960
Speaker 1: was there no anticipation, no planning, the security response on

1717
01:22:41,080 --> 01:22:43,520
Speaker 1: that day was an utter disaster. We now have confirmed

1718
01:22:43,960 --> 01:22:46,320
Speaker 1: that some of the Israelis who were killed on that

1719
01:22:46,400 --> 01:22:50,160
Speaker 1: day it was by the Hannibal director directive by friendly fire.

1720
01:22:50,760 --> 01:22:54,760
Speaker 1: But not only is that make that decision completely insane

1721
01:22:55,439 --> 01:22:59,240
Speaker 1: and outrageous from an Israeli security perspective, it also makes

1722
01:22:59,280 --> 01:23:01,720
Speaker 1: the decision, if you remember this at the time the

1723
01:23:02,080 --> 01:23:06,479
Speaker 1: Nova Music Festival where so much of the so many

1724
01:23:06,520 --> 01:23:09,479
Speaker 1: of the massacres and whrrors of the you know, atrocities

1725
01:23:09,520 --> 01:23:11,640
Speaker 1: committed on October seventh occurred and so many of the

1726
01:23:11,680 --> 01:23:16,240
Speaker 1: hostages were taken and people brutally murdered. That festival was

1727
01:23:16,280 --> 01:23:21,600
Speaker 1: supposed to be over, and the festival organizers had petitioned

1728
01:23:22,200 --> 01:23:26,280
Speaker 1: the IDF in Israeli government to extend for a further day,

1729
01:23:26,760 --> 01:23:29,360
Speaker 1: and even having this document in their hands, knowing what

1730
01:23:29,560 --> 01:23:32,840
Speaker 1: was being planned, they allowed it to be extended a

1731
01:23:32,920 --> 01:23:35,640
Speaker 1: further day and it ends up being this you know,

1732
01:23:35,920 --> 01:23:41,760
Speaker 1: soft target that is the location of some horrific massacres. So,

1733
01:23:43,200 --> 01:23:45,519
Speaker 1: you know, as bib Net Yahoo is fighting for his

1734
01:23:45,640 --> 01:23:49,200
Speaker 1: political life and had really he was mister security his

1735
01:23:49,280 --> 01:23:49,640
Speaker 1: whole thing.

1736
01:23:49,840 --> 01:23:51,400
Speaker 4: I can control the level of the flame.

1737
01:23:51,760 --> 01:23:55,560
Speaker 1: He also directly propped up and you know, supported effectively

1738
01:23:55,760 --> 01:23:58,639
Speaker 1: Hamas being there because it served his interests of keeping

1739
01:23:58,640 --> 01:24:00,320
Speaker 1: the West Bank and the Gaza stripped of I did,

1740
01:24:00,640 --> 01:24:02,080
Speaker 1: and then he could point to them, saw we have

1741
01:24:02,160 --> 01:24:04,919
Speaker 1: no partner for peace, like he liked this state of affairs.

1742
01:24:05,360 --> 01:24:08,599
Speaker 1: So I have to think domestically in Israel, as there's

1743
01:24:08,720 --> 01:24:12,840
Speaker 1: increasing reckoning over what transpired on October seventh, how this

1744
01:24:13,040 --> 01:24:17,360
Speaker 1: was able to occur given the massive investment in security

1745
01:24:17,400 --> 01:24:20,080
Speaker 1: and high tech weaponry, all of that on the Israeli side,

1746
01:24:20,400 --> 01:24:23,400
Speaker 1: that this is going to be a very challenging piece

1747
01:24:23,439 --> 01:24:24,840
Speaker 1: of information for BB and Ana.

1748
01:24:25,360 --> 01:24:27,760
Speaker 2: No question is this is why he wants the war

1749
01:24:27,840 --> 01:24:30,080
Speaker 2: to continue, because then we just stop asking questions what

1750
01:24:30,200 --> 01:24:32,599
Speaker 2: about this? What about the intelligence chief? Why were all

1751
01:24:32,640 --> 01:24:34,760
Speaker 2: the troops in the West Bank? Why didn't if he

1752
01:24:34,840 --> 01:24:36,479
Speaker 2: knew so much about it? I mean, this is basically

1753
01:24:36,560 --> 01:24:39,000
Speaker 2: on par with nine to eleven. This is I was

1754
01:24:39,040 --> 01:24:41,800
Speaker 2: telling our producer before. This is on par with bin

1755
01:24:41,880 --> 01:24:46,639
Speaker 2: Laden determined to attack the US intelligence about multiple agents

1756
01:24:46,720 --> 01:24:50,280
Speaker 2: here in the US. CIA know these guys have US

1757
01:24:50,439 --> 01:24:55,360
Speaker 2: visas living here in Los Angeles. Saudi's basically knowing and

1758
01:24:55,560 --> 01:24:58,439
Speaker 2: helping some of the nine to eleven hijackers. Every piece

1759
01:24:58,720 --> 01:25:01,280
Speaker 2: was there to prevent the attack if we wanted, and

1760
01:25:01,640 --> 01:25:04,439
Speaker 2: somebody looked the other way, we decided to invade Iraq

1761
01:25:04,520 --> 01:25:05,360
Speaker 2: and then everybody just.

1762
01:25:05,360 --> 01:25:07,599
Speaker 3: Forgot about it. But that's what they want. That's why

1763
01:25:07,680 --> 01:25:09,720
Speaker 3: he want some war with Lebanon. That's his Iraq. He

1764
01:25:09,800 --> 01:25:11,760
Speaker 3: just wants everybody to move on, right, That's it, That's

1765
01:25:11,800 --> 01:25:12,360
Speaker 3: exactly right.

1766
01:25:12,400 --> 01:25:14,240
Speaker 1: At the same time, we wanted to highlight for you,

1767
01:25:14,240 --> 01:25:17,240
Speaker 1: you know, as we focus on the US's role in

1768
01:25:17,320 --> 01:25:19,400
Speaker 1: all of this and how we're getting you know, dragged

1769
01:25:19,439 --> 01:25:22,120
Speaker 1: further and further back into the Middle East, not that

1770
01:25:22,200 --> 01:25:26,519
Speaker 1: we had ever extricated ourselves, Kenklippenstein. With this report, Ken

1771
01:25:26,600 --> 01:25:29,160
Speaker 1: again has gone independent. Support him over at his sub stack,

1772
01:25:29,240 --> 01:25:32,760
Speaker 1: but he gets this scoop. Biden deploys record number of

1773
01:25:32,880 --> 01:25:36,040
Speaker 1: troops to Jordan in a quiet build up. And you know,

1774
01:25:36,400 --> 01:25:39,479
Speaker 1: there are now a record three eight hundred and thirteen

1775
01:25:39,680 --> 01:25:42,799
Speaker 1: American troops in Jordan. That's according to the White House's

1776
01:25:42,840 --> 01:25:45,280
Speaker 1: War Powers Report to Congress that it just released. That

1777
01:25:45,439 --> 01:25:48,040
Speaker 1: is a six hundred and twenty five troop increase over December,

1778
01:25:48,080 --> 01:25:50,240
Speaker 1: with the number of soldiers and airmen exceeding the number

1779
01:25:50,320 --> 01:25:52,640
Speaker 1: at any time since the Second Gulf War and the

1780
01:25:52,760 --> 01:25:56,759
Speaker 1: invasion of Iraq. A review of past War Powers reports reveals.

1781
01:25:56,880 --> 01:25:58,960
Speaker 4: And it's just something to keep an eye on.

1782
01:25:59,840 --> 01:26:02,240
Speaker 1: And if you look, he has a chart Zaga that

1783
01:26:02,400 --> 01:26:06,599
Speaker 1: shows the numbers of American troops in Jordan over the years,

1784
01:26:06,760 --> 01:26:11,639
Speaker 1: and this is the steepest increase that we have seen

1785
01:26:11,840 --> 01:26:13,439
Speaker 1: over the time period that he tracks.

1786
01:26:13,560 --> 01:26:16,880
Speaker 3: Yes, it's crazy, it's one which again, why are these

1787
01:26:16,920 --> 01:26:19,479
Speaker 3: guys even here for Syria, for Israel?

1788
01:26:19,640 --> 01:26:20,040
Speaker 1: What is it?

1789
01:26:20,200 --> 01:26:23,559
Speaker 2: Do you should tell Congress report to the American people.

1790
01:26:23,640 --> 01:26:25,519
Speaker 2: But they just get away with it. They just you know,

1791
01:26:25,560 --> 01:26:28,080
Speaker 2: the troops go over there, nobody ask any questions. Yeah,

1792
01:26:28,120 --> 01:26:29,519
Speaker 2: then three of them end up dead, and then we

1793
01:26:29,600 --> 01:26:31,479
Speaker 2: just keep sending more troops over right, and nobody asked.

1794
01:26:31,560 --> 01:26:33,160
Speaker 4: Yeah, these individuals are at risk.

1795
01:26:33,200 --> 01:26:35,040
Speaker 2: Literally no, I mean three of them died. About that,

1796
01:26:35,320 --> 01:26:38,720
Speaker 2: they already died. People died. We all just completely moved

1797
01:26:38,760 --> 01:26:39,080
Speaker 2: on from it.

1798
01:26:39,120 --> 01:26:40,479
Speaker 4: It's nuts, Yeah, that's right.

1799
01:26:41,240 --> 01:26:44,720
Speaker 1: So we also had to bring to you some outrageous

1800
01:26:44,800 --> 01:26:50,040
Speaker 1: propaganda courtesy of CNN. You know, I really wish they

1801
01:26:50,040 --> 01:26:51,840
Speaker 1: would stop saying the stuff so we could stop talking

1802
01:26:51,880 --> 01:26:54,400
Speaker 1: about it. But as you guys know October seventh, as

1803
01:26:54,439 --> 01:26:59,320
Speaker 1: we just discussed, there were genuine war crimes, atrocities, massacres.

1804
01:26:58,880 --> 01:26:59,879
Speaker 4: Which were committed.

1805
01:27:00,240 --> 01:27:03,920
Speaker 1: However, there were also incidents that the Israeli government promoted

1806
01:27:04,040 --> 01:27:04,799
Speaker 1: that turned out.

1807
01:27:04,680 --> 01:27:05,439
Speaker 4: To be lies.

1808
01:27:05,520 --> 01:27:07,800
Speaker 1: There were the beheaded babies, there was the baby cut

1809
01:27:07,840 --> 01:27:11,800
Speaker 1: out of the woman's stomach, etc. Okay, And among what

1810
01:27:12,000 --> 01:27:16,320
Speaker 1: appears to be those fabricated tales was the story of

1811
01:27:16,920 --> 01:27:19,960
Speaker 1: mass rape as a weapon of war used by Hamas

1812
01:27:20,000 --> 01:27:23,240
Speaker 1: on October seventh. Now this is not my words, this

1813
01:27:23,439 --> 01:27:26,320
Speaker 1: is now the indications of that Times of London report

1814
01:27:26,479 --> 01:27:29,719
Speaker 1: that I brought to you. This is what Pramila Patten

1815
01:27:30,040 --> 01:27:31,840
Speaker 1: at the UN. This is what she said that the

1816
01:27:31,960 --> 01:27:36,679
Speaker 1: recent UN report that came out also confirmed that while

1817
01:27:36,920 --> 01:27:40,280
Speaker 1: there was gender based there are indications of gender based violence.

1818
01:27:40,640 --> 01:27:44,120
Speaker 1: The allegations of rape, mass rape, rape as a weapon

1819
01:27:44,200 --> 01:27:50,479
Speaker 1: of war are unfounded, unproven at this point, lacking evidence. Okay, now,

1820
01:27:50,560 --> 01:27:53,040
Speaker 1: you would think that would be important to a news organization,

1821
01:27:53,200 --> 01:27:55,920
Speaker 1: but if it's CNN or really any other of them,

1822
01:27:56,240 --> 01:27:59,519
Speaker 1: it's not. So you have Dana Bash setting up a

1823
01:27:59,560 --> 01:28:02,240
Speaker 1: segment with Debbie Wasserman Schultz in which she proceeds to

1824
01:28:02,600 --> 01:28:06,960
Speaker 1: lie about seeing photos that do not exist in service

1825
01:28:07,000 --> 01:28:12,839
Speaker 1: of promoting a Kamala Harris propaganda press conference about similar content.

1826
01:28:13,240 --> 01:28:15,280
Speaker 1: So let's take a listen to the segment and we

1827
01:28:15,360 --> 01:28:16,400
Speaker 1: can react on the other side.

1828
01:28:16,560 --> 01:28:19,720
Speaker 14: What's worse to get kidnapped, to be raped, or to

1829
01:28:19,800 --> 01:28:22,839
Speaker 14: get shot. That is a quote from Tolly Beiner.

1830
01:28:23,000 --> 01:28:23,800
Speaker 3: It's what she said.

1831
01:28:24,000 --> 01:28:27,600
Speaker 14: She was asking herself. I'm amid the chaos at the

1832
01:28:27,680 --> 01:28:31,640
Speaker 14: Nova Music Festival in Israel on October seventh, and she

1833
01:28:32,160 --> 01:28:34,120
Speaker 14: was a lucky one. She was able to hide from

1834
01:28:34,160 --> 01:28:37,160
Speaker 14: Hamas Terris as they raped and slaughtered scores of people

1835
01:28:37,520 --> 01:28:40,400
Speaker 14: people attending the festival to listen to music and to

1836
01:28:40,520 --> 01:28:44,160
Speaker 14: promote peace. More than two hundred civilians were taken hostage

1837
01:28:44,200 --> 01:28:47,919
Speaker 14: that day, including women brought into Gaza and sexually assaulted.

1838
01:28:48,479 --> 01:28:52,200
Speaker 15: Hamas used sexual violence and continues to use it as

1839
01:28:52,200 --> 01:28:57,320
Speaker 15: a weapon of war, is violating women, Israeli women, and

1840
01:28:57,800 --> 01:29:02,639
Speaker 15: I hosted a forum with the Second Gentleman on Capitol

1841
01:29:02,720 --> 01:29:06,040
Speaker 15: Hill a few months ago, and the Israeli police came

1842
01:29:06,320 --> 01:29:11,000
Speaker 15: and showed us videos that were taken by Hamas terrorists

1843
01:29:11,080 --> 01:29:15,240
Speaker 15: themselves engaging in the kind of sexual violence that Cheryl's

1844
01:29:15,280 --> 01:29:20,200
Speaker 15: film shows, cutting off the breasts while raping their victims,

1845
01:29:20,520 --> 01:29:25,040
Speaker 15: and first hand accounts from first responders as well as

1846
01:29:25,320 --> 01:29:31,960
Speaker 15: others and Israelis who were hiding from Hamas terrorists and

1847
01:29:32,120 --> 01:29:35,160
Speaker 15: the Denihalism is outragels have to we have to make

1848
01:29:35,200 --> 01:29:36,320
Speaker 15: sure that we knock it down.

1849
01:29:36,600 --> 01:29:40,320
Speaker 1: So CNN should retracted apologize for this segment because those

1850
01:29:40,400 --> 01:29:43,760
Speaker 1: videos do not exist. The congresswoman is lying and again

1851
01:29:44,000 --> 01:29:47,360
Speaker 1: this is not my words. I'm reading from the Pramila Patent.

1852
01:29:47,439 --> 01:29:52,240
Speaker 1: You when Special Representative Sexual Violence and Conflict Report, she says,

1853
01:29:52,280 --> 01:29:55,759
Speaker 1: the mission team specifically for forensic pathologist the digital analysts

1854
01:29:55,800 --> 01:29:58,599
Speaker 1: reviewed over five thousand photos around fifty hours and several

1855
01:29:58,680 --> 01:30:02,080
Speaker 1: audio files of footage of the attacks provided by various

1856
01:30:02,080 --> 01:30:05,000
Speaker 1: state agencies or an independent online review of various open

1857
01:30:05,080 --> 01:30:09,920
Speaker 1: sources to identify potential instances and indications of conflict related

1858
01:30:09,960 --> 01:30:13,320
Speaker 1: sexual violence. She goes on to say, while the mission

1859
01:30:13,360 --> 01:30:17,000
Speaker 1: team reviewed that extensive digital material depicting a range of

1860
01:30:17,120 --> 01:30:23,000
Speaker 1: egregious violations, no digital evidence specifically depicting acts of sexual

1861
01:30:23,120 --> 01:30:28,600
Speaker 1: violence with found in open source the videos that DWS

1862
01:30:28,680 --> 01:30:30,479
Speaker 1: is claiming to see. That by the way, Joe Biden

1863
01:30:30,520 --> 01:30:33,080
Speaker 1: has claimed the same thing. Also, they do not exist

1864
01:30:33,200 --> 01:30:36,519
Speaker 1: according to the UN, according to the Times of London,

1865
01:30:37,080 --> 01:30:42,400
Speaker 1: according to independent researchers, they do not exist. Okay, So

1866
01:30:43,760 --> 01:30:47,200
Speaker 1: again there is a reason why they persist with this,

1867
01:30:47,439 --> 01:30:51,040
Speaker 1: and because they're seeking to justify the atrocities they are

1868
01:30:51,120 --> 01:30:57,120
Speaker 1: committing in Gaza by pointing to these atrocities that they

1869
01:30:57,240 --> 01:30:59,960
Speaker 1: have invented. And again, there were atrocities on October seventh.

1870
01:31:00,160 --> 01:31:03,439
Speaker 1: I am not denying that, but I also require facts

1871
01:31:03,520 --> 01:31:06,519
Speaker 1: and evidence to understand what actually happened on that day.

1872
01:31:07,120 --> 01:31:10,000
Speaker 1: I do not want to see a genocide justified by

1873
01:31:10,240 --> 01:31:14,080
Speaker 1: DWS and Joe Biden and CNN and others based on

1874
01:31:14,439 --> 01:31:18,000
Speaker 1: videos that they invented in their minds, So you know,

1875
01:31:18,080 --> 01:31:21,320
Speaker 1: at a certain point, so obviously they're railing as the denialists, etc.

1876
01:31:21,520 --> 01:31:23,320
Speaker 1: I'm sure they put me in that camp, even though

1877
01:31:23,400 --> 01:31:26,839
Speaker 1: again I'm just looking at the evidence that's been presented.

1878
01:31:26,880 --> 01:31:28,720
Speaker 1: And by the way, let me make a distinction here too,

1879
01:31:29,360 --> 01:31:32,960
Speaker 1: there have been hostages who've been released, at least one

1880
01:31:33,320 --> 01:31:37,080
Speaker 1: who is directly testified to sexual assault while she's being

1881
01:31:37,120 --> 01:31:40,360
Speaker 1: held hostage. I think we should all take that very seriously.

1882
01:31:40,760 --> 01:31:41,040
Speaker 3: Okay.

1883
01:31:41,880 --> 01:31:45,599
Speaker 1: The allegation, though, that there was systematic weapon of war

1884
01:31:45,840 --> 01:31:49,120
Speaker 1: mass rape deployed on October seventh, has not been supportive,

1885
01:31:49,160 --> 01:31:52,360
Speaker 1: and if the Israeli government has such evidence, if they

1886
01:31:52,439 --> 01:31:56,840
Speaker 1: believe that that actually occurred, they should cooperate with the

1887
01:31:56,920 --> 01:32:01,640
Speaker 1: full independent investigation, which they have comp completely rejected and

1888
01:32:01,800 --> 01:32:04,640
Speaker 1: failed to do. The last thing I'll say I get

1889
01:32:04,640 --> 01:32:07,599
Speaker 1: your reaction is, of course, we also can't take seriously

1890
01:32:07,720 --> 01:32:11,120
Speaker 1: that these people actually, including Kamala Harris at her event

1891
01:32:11,200 --> 01:32:14,479
Speaker 1: that she just did which screened the Cheryl Sandberg agit

1892
01:32:14,520 --> 01:32:17,720
Speaker 1: prop documentary quote unquote about this as well, that they

1893
01:32:17,760 --> 01:32:20,960
Speaker 1: actually care about sexual violence in any context. Let alone

1894
01:32:20,960 --> 01:32:23,280
Speaker 1: in the context of war. Is because we do have

1895
01:32:23,439 --> 01:32:27,719
Speaker 1: evidence that there has been a persistent pattern of sexual

1896
01:32:27,800 --> 01:32:32,639
Speaker 1: violence committed against Palestinian hostages or prisoners or detainees, whatever

1897
01:32:32,720 --> 01:32:35,320
Speaker 1: we want to call them. None of them ever says

1898
01:32:35,360 --> 01:32:38,200
Speaker 1: a word about that, nor do they care about it.

1899
01:32:38,760 --> 01:32:42,040
Speaker 1: So this is all for blatant propaganda purposes, which is

1900
01:32:42,120 --> 01:32:43,680
Speaker 1: why it irritates.

1901
01:32:43,240 --> 01:32:43,599
Speaker 8: Me so much.

1902
01:32:43,680 --> 01:32:45,759
Speaker 2: Yeah, and it should. And now we've got Kamala Harris

1903
01:32:45,840 --> 01:32:47,639
Speaker 2: jumping in. Let's put this up there on the screen.

1904
01:32:48,080 --> 01:32:51,920
Speaker 2: Kamala Harris is launching initiatives to provide support for quote

1905
01:32:51,960 --> 01:32:57,120
Speaker 2: sexual violence survivors, launching Dignity and Documentation initiative addressing global

1906
01:32:57,160 --> 01:32:59,840
Speaker 2: conflict related sexual violence and supporting them through you and

1907
01:33:00,000 --> 01:33:05,160
Speaker 2: efforts and leadership programs, but pegging it specifically to October seventh,

1908
01:33:05,280 --> 01:33:09,640
Speaker 2: and after a partial screening of quote Sheryl Sandberg's documentary

1909
01:33:09,680 --> 01:33:12,160
Speaker 2: film Screams Before Silence.

1910
01:33:12,280 --> 01:33:15,519
Speaker 1: Soah, And also from Kamala, not a word at this

1911
01:33:15,800 --> 01:33:17,640
Speaker 1: This event is not supposed to just be.

1912
01:33:17,680 --> 01:33:18,640
Speaker 4: About Israel R.

1913
01:33:18,840 --> 01:33:23,280
Speaker 1: She mentioned, and again also without evidence that Hamas had

1914
01:33:23,320 --> 01:33:26,559
Speaker 1: committed rape and gang rape at the Nova Music Festival. Again,

1915
01:33:26,640 --> 01:33:30,320
Speaker 1: there is no evidence, according to the un no evidence

1916
01:33:30,439 --> 01:33:33,960
Speaker 1: to back up those claims. She claims that this event

1917
01:33:34,080 --> 01:33:38,439
Speaker 1: is about conflict related gender based violence everywhere, not one

1918
01:33:38,560 --> 01:33:42,320
Speaker 1: mention of the confirmed reports with regards to Palestinian. So

1919
01:33:42,640 --> 01:33:45,599
Speaker 1: obviously you can't take these people seriously in their supposed

1920
01:33:45,680 --> 01:33:49,040
Speaker 1: care and concern and desire for accountability whatsoever. It's purely

1921
01:33:49,120 --> 01:33:52,479
Speaker 1: for their own naked propaganda purposes, and it's frankly disgusting.

1922
01:33:52,600 --> 01:33:52,920
Speaker 1: There you go.

1923
01:33:53,160 --> 01:33:56,040
Speaker 2: As some longtime listeners may know, I love credit cards

1924
01:33:56,120 --> 01:33:58,479
Speaker 2: and credit card points. There is almost no way that

1925
01:33:58,600 --> 01:34:00,519
Speaker 2: I get more value from it compared to the value

1926
01:34:00,560 --> 01:34:02,639
Speaker 2: of the time that I put in. But few who

1927
01:34:02,760 --> 01:34:06,120
Speaker 2: dabble understand the absolute high of getting one up on

1928
01:34:06,200 --> 01:34:09,040
Speaker 2: the man and flying first class internationally for free. It's

1929
01:34:09,080 --> 01:34:11,679
Speaker 2: a hobby and I enjoy it partially because I hate

1930
01:34:11,720 --> 01:34:13,760
Speaker 2: the banks and I love at least the idea of

1931
01:34:13,840 --> 01:34:16,120
Speaker 2: getting one up on them, and because I'm in this world.

1932
01:34:16,240 --> 01:34:18,000
Speaker 2: A card that's been making the rounds for a few

1933
01:34:18,080 --> 01:34:20,600
Speaker 2: years now is the Built Card. It has one of

1934
01:34:20,680 --> 01:34:23,719
Speaker 2: the best point value redemptions in the game for anyone

1935
01:34:23,760 --> 01:34:26,800
Speaker 2: who rents, and it has spurred their founder, Onen Core Jane,

1936
01:34:26,880 --> 01:34:29,960
Speaker 2: to a billion dollar plus net worth The only problem

1937
01:34:30,040 --> 01:34:32,519
Speaker 2: has been nobody can really figure out how does this

1938
01:34:32,600 --> 01:34:33,479
Speaker 2: company make money?

1939
01:34:33,880 --> 01:34:34,080
Speaker 3: Why?

1940
01:34:34,360 --> 01:34:37,080
Speaker 2: How did they somehow figure out a scheme that nobody

1941
01:34:37,120 --> 01:34:40,120
Speaker 2: else could make work well? A New Wall Street Journal

1942
01:34:40,200 --> 01:34:43,600
Speaker 2: expose reveals how exactly they made this work, and it

1943
01:34:43,760 --> 01:34:47,320
Speaker 2: is absolutely delicious for those who don't know. Built's major

1944
01:34:47,400 --> 01:34:49,559
Speaker 2: pitch to consumers is that you can pay your rent

1945
01:34:49,680 --> 01:34:51,920
Speaker 2: and you can get points for doing so on the card.

1946
01:34:52,280 --> 01:34:54,559
Speaker 2: Usually landlords don't take credit cards because they don't want

1947
01:34:54,560 --> 01:34:56,960
Speaker 2: to eat processing fees. Built boasts that you can do

1948
01:34:57,120 --> 01:34:58,880
Speaker 2: so that they will eat the fee and they will

1949
01:34:58,920 --> 01:34:59,960
Speaker 2: mail a check to the landlord.

1950
01:35:00,240 --> 01:35:01,400
Speaker 3: That way, everybody wins.

1951
01:35:01,640 --> 01:35:03,880
Speaker 2: Landlord gets paid, you get to pay something that you

1952
01:35:03,920 --> 01:35:06,400
Speaker 2: would anyways, and you get to redeem points for potentially

1953
01:35:06,479 --> 01:35:09,960
Speaker 2: thousands of dollars in value on airlines, shopping, or wherever.

1954
01:35:10,320 --> 01:35:12,639
Speaker 3: Now you might be asking, wait, how does this work?

1955
01:35:12,920 --> 01:35:16,400
Speaker 2: It turns out Wells Fargo, the bank that helped Built

1956
01:35:16,520 --> 01:35:19,800
Speaker 2: issue the card, made a huge mistake. They assumed when

1957
01:35:19,800 --> 01:35:22,439
Speaker 2: they were underwriting the card that consumers would not be

1958
01:35:22,520 --> 01:35:25,519
Speaker 2: as savvy as they are. In fact, they assumed most

1959
01:35:25,560 --> 01:35:28,360
Speaker 2: people wouldn't take advantage of the rental provision, and that

1960
01:35:28,520 --> 01:35:31,479
Speaker 2: instead a huge portion of the credit card users would

1961
01:35:31,560 --> 01:35:34,759
Speaker 2: carry a balance and that they could milk them for interest. Instead,

1962
01:35:34,920 --> 01:35:37,880
Speaker 2: a much smaller portion of card users than normal are

1963
01:35:37,960 --> 01:35:41,160
Speaker 2: carrying a balance, and a massive portion of them are

1964
01:35:41,280 --> 01:35:44,240
Speaker 2: just paying their rent with a card and immediately zeroing

1965
01:35:44,280 --> 01:35:47,240
Speaker 2: out the balance. This means that Wells Fargo is eating

1966
01:35:47,360 --> 01:35:49,960
Speaker 2: the processing fee, which has now led to a whopping

1967
01:35:50,240 --> 01:35:54,439
Speaker 2: ten million dollars a month loss for the bank. Since

1968
01:35:54,479 --> 01:35:57,080
Speaker 2: this card has been around for years, well it means

1969
01:35:57,120 --> 01:35:59,800
Speaker 2: they have lost hundreds of millions.

1970
01:35:59,400 --> 01:36:00,639
Speaker 3: Of dollars on the program.

1971
01:36:01,000 --> 01:36:03,519
Speaker 2: The best part is they are locked into this contract

1972
01:36:03,800 --> 01:36:06,559
Speaker 2: until twenty twenty nine, and they are doing their damnedest

1973
01:36:06,640 --> 01:36:08,639
Speaker 2: right now to get out of it, leading to major

1974
01:36:08,720 --> 01:36:11,559
Speaker 2: panic within the bank. Even funnier is that not only

1975
01:36:11,640 --> 01:36:14,000
Speaker 2: are they eating the credit card processing fee, but their

1976
01:36:14,040 --> 01:36:17,000
Speaker 2: contract actually requires them to pay Built every single time

1977
01:36:17,080 --> 01:36:19,439
Speaker 2: a new person signs up. They assumed that the card

1978
01:36:19,479 --> 01:36:21,880
Speaker 2: would be a lost leader at worst, and that maybe

1979
01:36:21,960 --> 01:36:24,640
Speaker 2: they could just sell mortgages to build customers who are

1980
01:36:24,680 --> 01:36:27,240
Speaker 2: obviously renters, but then high interest rates.

1981
01:36:27,120 --> 01:36:29,760
Speaker 3: Screwed that up for everybody. I'm not going to leave.

1982
01:36:29,680 --> 01:36:32,479
Speaker 2: Built unscathed here, though, Even though people should take advantage

1983
01:36:32,479 --> 01:36:34,680
Speaker 2: of their card while they still can Their CEO on

1984
01:36:34,840 --> 01:36:37,519
Speaker 2: Core Jane recently had a gaudy monstrosity of a wedding

1985
01:36:37,640 --> 01:36:40,120
Speaker 2: where he were literally rented out the Great Pyramids of Giza.

1986
01:36:40,400 --> 01:36:42,880
Speaker 2: Has seemingly spent millions and millions of dollars. He has

1987
01:36:43,000 --> 01:36:45,400
Speaker 2: relished in his status as a billionaire, and he has

1988
01:36:45,479 --> 01:36:49,360
Speaker 2: bil built as a massively innovative financial technology company. But

1989
01:36:49,479 --> 01:36:51,639
Speaker 2: now that we know the truth, it makes a lot

1990
01:36:51,680 --> 01:36:53,920
Speaker 2: more sense. So the last time he was on CNBC,

1991
01:36:54,400 --> 01:36:57,120
Speaker 2: he had a train wreck interview where he could not

1992
01:36:57,400 --> 01:37:01,519
Speaker 2: explain how this company actually made money without outing his

1993
01:37:01,720 --> 01:37:03,479
Speaker 2: insane deal with Wells Fargo.

1994
01:37:03,800 --> 01:37:05,640
Speaker 16: Take a listen, Let's go back to the math of it,

1995
01:37:05,640 --> 01:37:08,439
Speaker 16: because I do want to understand the economics of it.

1996
01:37:08,640 --> 01:37:10,280
Speaker 6: So you're collecting a fee.

1997
01:37:11,320 --> 01:37:15,120
Speaker 16: You're a processing fee transaction fee every time, correct each person?

1998
01:37:15,200 --> 01:37:15,840
Speaker 6: Which is what percent?

1999
01:37:16,080 --> 01:37:17,720
Speaker 17: It depends on the type of payment met that you

2000
01:37:17,760 --> 01:37:19,360
Speaker 17: can pay by bank ach you can.

2001
01:37:19,360 --> 01:37:21,000
Speaker 16: Okay, but we're talking between one and a half and

2002
01:37:21,040 --> 01:37:23,360
Speaker 16: three percent. We're talking Amex style. I mean Amex was

2003
01:37:23,400 --> 01:37:25,599
Speaker 16: three percent, MasterCard was lower.

2004
01:37:25,800 --> 01:37:26,680
Speaker 4: It really depends if you.

2005
01:37:26,680 --> 01:37:28,640
Speaker 17: Pay by Amex or pay by visa or pay by

2006
01:37:28,720 --> 01:37:29,200
Speaker 17: master Card.

2007
01:37:29,760 --> 01:37:31,200
Speaker 4: If your bank was the lowest you can.

2008
01:37:31,160 --> 01:37:33,120
Speaker 3: Get's right, and so you get different levels.

2009
01:37:33,280 --> 01:37:35,200
Speaker 17: What's the rate for the lowest if you pay it

2010
01:37:35,520 --> 01:37:37,719
Speaker 17: depends on the landlord too and the property owner.

2011
01:37:37,800 --> 01:37:39,160
Speaker 4: But just like stripe and any other.

2012
01:37:39,120 --> 01:37:43,880
Speaker 16: But although, but go back, it's important important piece you

2013
01:37:44,000 --> 01:37:44,160
Speaker 16: go to.

2014
01:37:44,240 --> 01:37:47,040
Speaker 17: Like a local merchant right right today instead of giving

2015
01:37:47,120 --> 01:37:50,080
Speaker 17: say like a ten percent local discount to bring in

2016
01:37:50,200 --> 01:37:53,720
Speaker 17: local customers on those off hours, off days, they can say,

2017
01:37:53,840 --> 01:37:56,479
Speaker 17: like with American Express, but hey, we want to focus

2018
01:37:56,560 --> 01:37:59,200
Speaker 17: on the neighborhood and if you come in, we can

2019
01:37:59,320 --> 01:38:00,960
Speaker 17: we can fund two, two and a half percent or

2020
01:38:01,040 --> 01:38:05,599
Speaker 17: five percent in rewards and introduce our business to all

2021
01:38:05,680 --> 01:38:07,519
Speaker 17: those people moving into the neighborhood every month.

2022
01:38:07,560 --> 01:38:08,040
Speaker 3: So think about this.

2023
01:38:08,479 --> 01:38:12,160
Speaker 17: Half of renters move every year. So you have all

2024
01:38:12,240 --> 01:38:15,080
Speaker 17: these people moving out of the neighborhood every year, and

2025
01:38:15,200 --> 01:38:17,760
Speaker 17: these merchants, these small business owners have no way to

2026
01:38:17,800 --> 01:38:19,760
Speaker 17: get in front of them. So now you can be

2027
01:38:19,840 --> 01:38:22,120
Speaker 17: in front of everybody when they move into the neighborhood.

2028
01:38:22,439 --> 01:38:25,160
Speaker 17: You have a plug and play loyalty platform, and instead

2029
01:38:25,160 --> 01:38:27,840
Speaker 17: of giving the ten percent local discount, you spend a

2030
01:38:28,000 --> 01:38:31,360
Speaker 17: quarter of that and you actually attract the local residents

2031
01:38:31,400 --> 01:38:35,120
Speaker 17: through recurring rewards for coming in, and all the points

2032
01:38:35,160 --> 01:38:37,680
Speaker 17: they've earned on rent can now be spent at that

2033
01:38:37,840 --> 01:38:38,559
Speaker 17: local business.

2034
01:38:39,080 --> 01:38:42,160
Speaker 3: Right, God, I love that so much. Well, some people

2035
01:38:42,320 --> 01:38:46,240
Speaker 3: pay some fee and there's this merchant program. No it doesn't.

2036
01:38:46,360 --> 01:38:48,720
Speaker 2: It turns out the bank is just eating the whole fee.

2037
01:38:49,120 --> 01:38:50,840
Speaker 2: The best part is that the clip goes on for

2038
01:38:51,040 --> 01:38:54,000
Speaker 2: five more minutes, the entire time Andrew Ross work and

2039
01:38:54,040 --> 01:38:56,439
Speaker 2: he keeps trying to ask him, goes, wait, how do

2040
01:38:56,640 --> 01:38:58,320
Speaker 2: you actually make money?

2041
01:38:58,760 --> 01:38:59,680
Speaker 3: And they can't say why.

2042
01:39:00,080 --> 01:39:02,840
Speaker 2: Anyway, Clearly, this gravy train ain't gonna last past twenty

2043
01:39:02,920 --> 01:39:05,200
Speaker 2: twenty nine. I wouldn't put it past Wells Fargo to

2044
01:39:05,320 --> 01:39:07,000
Speaker 2: sue and try and get themselves out of the deal.

2045
01:39:07,200 --> 01:39:07,799
Speaker 3: In the meantime.

2046
01:39:08,040 --> 01:39:10,439
Speaker 2: This is not financial advice, but I can tell you

2047
01:39:10,720 --> 01:39:12,720
Speaker 2: that card is a pretty damn good deal. And it

2048
01:39:12,840 --> 01:39:16,120
Speaker 2: is just even sweeter knowing that those free flights come

2049
01:39:16,200 --> 01:39:19,160
Speaker 2: at the direct expense of one of America's horse banks,

2050
01:39:19,320 --> 01:39:21,160
Speaker 2: who are dumb enough to sign a deal like this.

2051
01:39:21,560 --> 01:39:23,280
Speaker 3: Couldn't have happened to a better person.

2052
01:39:23,320 --> 01:39:25,240
Speaker 2: We're going to skip the reaction because Matt Stoller is

2053
01:39:25,280 --> 01:39:27,280
Speaker 2: standing by and we are really running short on time.

2054
01:39:27,479 --> 01:39:28,040
Speaker 3: Let's get to it.

2055
01:39:30,520 --> 01:39:32,479
Speaker 1: All right, guys, very excited to have our friend Matt

2056
01:39:32,520 --> 01:39:35,120
Speaker 1: Stoller in studio. He is, of course the author a

2057
01:39:35,280 --> 01:39:38,240
Speaker 1: big by Matt Stoller over on Substack and also over

2058
01:39:38,439 --> 01:39:41,160
Speaker 1: he is at the American Economic Liberties Project and great

2059
01:39:41,160 --> 01:39:42,880
Speaker 1: on all things anti trust in much more.

2060
01:39:43,240 --> 01:39:43,920
Speaker 4: Great to see you, Matt.

2061
01:39:44,040 --> 01:39:44,599
Speaker 3: Good see man.

2062
01:39:45,640 --> 01:39:47,120
Speaker 1: You had a piece recently you can put up on

2063
01:39:47,200 --> 01:39:50,280
Speaker 1: the screen that I really took interest in. The headline

2064
01:39:50,439 --> 01:39:54,679
Speaker 1: is why has Trump stopped attacking big business? In twenty sixteen,

2065
01:39:54,720 --> 01:39:57,960
Speaker 1: you say, Donald Trump went after CEOs so often that

2066
01:39:58,080 --> 01:40:00,679
Speaker 1: the Wall Street Journal set up a track of stocks

2067
01:40:00,680 --> 01:40:01,840
Speaker 1: whose leaders.

2068
01:40:01,520 --> 01:40:04,519
Speaker 4: He had insulted. No longer what happened?

2069
01:40:04,920 --> 01:40:07,200
Speaker 1: So take us through the shift from you know, twenty

2070
01:40:07,280 --> 01:40:11,280
Speaker 1: fifteen vintage Trump to the way Trump talks today, and

2071
01:40:11,400 --> 01:40:14,240
Speaker 1: has there been a policy shift that is accompanied that

2072
01:40:14,320 --> 01:40:15,360
Speaker 1: rhetorical shift as well?

2073
01:40:16,000 --> 01:40:16,200
Speaker 5: Yeah.

2074
01:40:17,400 --> 01:40:20,639
Speaker 18: So I was really surprised because I'm not a Trump hater.

2075
01:40:21,000 --> 01:40:22,639
Speaker 18: I mean, I'm a Democrat, but I'm not a Trump hater.

2076
01:40:22,760 --> 01:40:25,400
Speaker 18: But I went back to twenty sixteen and twenty seventeen

2077
01:40:25,840 --> 01:40:28,599
Speaker 18: because I noticed he hasn't really been attacking CEOs very often.

2078
01:40:28,600 --> 01:40:30,800
Speaker 6: I'm like, is that a what is that a thing?

2079
01:40:31,320 --> 01:40:34,240
Speaker 18: And so I looked at the last three speeches he gave,

2080
01:40:34,240 --> 01:40:36,759
Speaker 18: because you can't really trust the press and they're reporting

2081
01:40:36,800 --> 01:40:39,360
Speaker 18: on Trump is his dumb and so I just like

2082
01:40:39,479 --> 01:40:41,360
Speaker 18: read his speeches which are long and rambling.

2083
01:40:41,640 --> 01:40:43,519
Speaker 6: But he didn't attack any CEOs.

2084
01:40:43,560 --> 01:40:45,560
Speaker 18: He still was like against immigrants, and he had some

2085
01:40:45,680 --> 01:40:47,600
Speaker 18: of the traditional like stuff in there, but it was

2086
01:40:47,720 --> 01:40:50,120
Speaker 18: like that was gone, and I was like, okay. So

2087
01:40:50,240 --> 01:40:52,799
Speaker 18: I went back to twenty fifteen, twenty sixteen, twenty seventeen

2088
01:40:52,880 --> 01:40:54,640
Speaker 18: and looked at the stuff he had said, and I

2089
01:40:54,800 --> 01:40:56,920
Speaker 18: was I was surprised. I thought I'd paid close attention

2090
01:40:57,040 --> 01:40:59,880
Speaker 18: to Trump, but it was really surprising because of just

2091
01:41:00,120 --> 01:41:02,880
Speaker 18: how often and how aggressive he was about attacking like.

2092
01:41:03,439 --> 01:41:06,000
Speaker 6: Ford, like Nobisco. He called for boycott of.

2093
01:41:06,000 --> 01:41:09,240
Speaker 18: Apple at a certain point, he was like, you know,

2094
01:41:09,360 --> 01:41:11,880
Speaker 18: he went after Jeff Bezos for being a monopolist and

2095
01:41:12,000 --> 01:41:13,600
Speaker 18: not paying his taxes and said he's gonna have a

2096
01:41:13,680 --> 01:41:17,720
Speaker 18: huge anti trust problem under me. And he was like

2097
01:41:17,880 --> 01:41:20,120
Speaker 18: His final ad was amazing. It was like a two

2098
01:41:20,200 --> 01:41:22,959
Speaker 18: minute long ad that was like the global power structure

2099
01:41:23,360 --> 01:41:25,720
Speaker 18: and it was you know, is trying to defeat me,

2100
01:41:25,880 --> 01:41:27,720
Speaker 18: and they've outsourced your jobs and it was you know,

2101
01:41:27,760 --> 01:41:30,000
Speaker 18: as pictures of Wall Street, pictures of empty factories. It

2102
01:41:30,120 --> 01:41:33,280
Speaker 18: was like straight up populist economic popular stuff. And then

2103
01:41:33,280 --> 01:41:35,880
Speaker 18: when he got into office, you know, he was not

2104
01:41:36,120 --> 01:41:39,639
Speaker 18: like he was not you know, FDR right to put

2105
01:41:39,680 --> 01:41:42,720
Speaker 18: it like he he he did do some real things though,

2106
01:41:42,840 --> 01:41:45,960
Speaker 18: like he was mostly like an orthodox Republican corporate tax

2107
01:41:46,040 --> 01:41:48,679
Speaker 18: cuts and stuff like that, or deregulation, but he actually

2108
01:41:48,800 --> 01:41:52,880
Speaker 18: did you know, the tariffs were different, so he did

2109
01:41:52,920 --> 01:41:55,920
Speaker 18: some tariffs, didn't close the trade deficity that got worse,

2110
01:41:55,960 --> 01:42:00,519
Speaker 18: but he did change our trade policy framework. And there's

2111
01:42:00,520 --> 01:42:03,280
Speaker 18: some weird stuff in trade as well, like under Trump

2112
01:42:03,400 --> 01:42:07,320
Speaker 18: is the first use of environmental rules to stop illegal

2113
01:42:07,439 --> 01:42:10,760
Speaker 18: logging ever in Peru. Like it was crazy, and that

2114
01:42:11,000 --> 01:42:13,760
Speaker 18: was just because Trump is a protectionist and he was like, well,

2115
01:42:14,080 --> 01:42:16,680
Speaker 18: we want to protect the domestic Yeah, that's exactly right.

2116
01:42:16,920 --> 01:42:19,360
Speaker 18: But it's like and there's like labor organizing in Mexico

2117
01:42:19,400 --> 01:42:21,040
Speaker 18: because of some of the things that Trump did, which

2118
01:42:21,080 --> 01:42:24,280
Speaker 18: is again protectionist, labor costs in Mexico go up.

2119
01:42:24,280 --> 01:42:28,320
Speaker 3: Yep, more less offshore as part of the yeah I remember, yeah, yeah, And.

2120
01:42:28,400 --> 01:42:30,519
Speaker 18: This is this is both the Democrats in Congress and Trump,

2121
01:42:30,560 --> 01:42:34,040
Speaker 18: but it was real, like not, you know, it's certainly

2122
01:42:34,160 --> 01:42:36,240
Speaker 18: like maybe I'm saying twenty percent of it was real

2123
01:42:36,320 --> 01:42:38,200
Speaker 18: and eighty percent of it was just like pro corporate

2124
01:42:38,400 --> 01:42:41,160
Speaker 18: but on anti trust you know, same thing. Lots of

2125
01:42:41,240 --> 01:42:44,000
Speaker 18: huge mergers, bad stuff. But he did challenge at and

2126
01:42:44,040 --> 01:42:46,439
Speaker 18: T time Warner right, which was the first challenge of

2127
01:42:46,479 --> 01:42:48,760
Speaker 18: a merger like that in like forty years. He did

2128
01:42:48,840 --> 01:42:51,479
Speaker 18: bring a suit against Google and a suit against Facebook.

2129
01:42:51,520 --> 01:42:54,120
Speaker 18: These were huge. Remember when Facebook tried to start like

2130
01:42:54,160 --> 01:42:57,320
Speaker 18: their own currency. Yeah, rah, like he helped out.

2131
01:42:57,400 --> 01:42:57,880
Speaker 3: To talk about it.

2132
01:42:58,000 --> 01:43:00,640
Speaker 18: Yeah, yeah, like it feels like so long ago, but

2133
01:43:00,760 --> 01:43:02,559
Speaker 18: like he did, you know, he helped block that, right,

2134
01:43:02,640 --> 01:43:04,439
Speaker 18: So there was real stuff. But on the other hand,

2135
01:43:04,520 --> 01:43:07,400
Speaker 18: like you know, there there was standard deregulation and like

2136
01:43:07,520 --> 01:43:09,720
Speaker 18: inequality got worse. You know, it wasn't I don't want

2137
01:43:09,720 --> 01:43:12,840
Speaker 18: to like overstate it, but there was some populism there, right.

2138
01:43:12,920 --> 01:43:14,720
Speaker 18: It was certainly not what you would expect from a

2139
01:43:14,920 --> 01:43:19,960
Speaker 18: standard Republican administration. And Wall Street actually funded Hillary Clinton

2140
01:43:19,960 --> 01:43:22,320
Speaker 18: and then Joe Biden in twenty twenty more than they

2141
01:43:22,360 --> 01:43:26,639
Speaker 18: did Trump. Okay, today he gets about fifty percent more

2142
01:43:27,080 --> 01:43:30,160
Speaker 18: money from Wall Street or from securities industry and finance

2143
01:43:30,200 --> 01:43:32,599
Speaker 18: industry than Biden does. Right, So there's been this really

2144
01:43:32,640 --> 01:43:36,240
Speaker 18: big shift in the money and he is still talking

2145
01:43:36,280 --> 01:43:40,880
Speaker 18: about immigration, but he isn't talking about you know, the

2146
01:43:40,920 --> 01:43:43,800
Speaker 18: Wall Street establishment or anything like that. The populism has

2147
01:43:43,880 --> 01:43:45,800
Speaker 18: kind of moved a foreign policy a little bit. He's

2148
01:43:45,840 --> 01:43:47,760
Speaker 18: kind of like, if I were in charge, none of

2149
01:43:47,760 --> 01:43:50,439
Speaker 18: this bad stuff would be happening. Right, So that's not like,

2150
01:43:51,120 --> 01:43:52,800
Speaker 18: you know, you could laugh at it, but it's like

2151
01:43:52,880 --> 01:43:55,599
Speaker 18: it's moved. It's I'm just looking at the rhetoric. Right

2152
01:43:57,280 --> 01:43:59,720
Speaker 18: In terms of your question about what's the policy change

2153
01:43:59,720 --> 01:44:00,840
Speaker 18: going to be, I don't know.

2154
01:44:01,080 --> 01:44:01,639
Speaker 6: Nobody knows.

2155
01:44:01,920 --> 01:44:03,680
Speaker 18: And I talked to my friends on the right and

2156
01:44:03,760 --> 01:44:06,400
Speaker 18: they're like, this doesn't look good, but we don't know.

2157
01:44:06,560 --> 01:44:09,120
Speaker 18: I mean, my friends are the writer are like realignment types, yeah,

2158
01:44:09,120 --> 01:44:12,080
Speaker 18: and they're they're just kind of like, uh, you know,

2159
01:44:12,479 --> 01:44:14,280
Speaker 18: we don't think he's going to be good, but they're

2160
01:44:14,360 --> 01:44:14,760
Speaker 18: not sure.

2161
01:44:14,920 --> 01:44:17,559
Speaker 2: I think that Trump thesis is simple. He got more

2162
01:44:17,640 --> 01:44:19,559
Speaker 2: votes in twenty twenty than he did in twenty sixteen.

2163
01:44:19,760 --> 01:44:22,320
Speaker 2: He doesn't need any of that. You could literally pass TCJA.

2164
01:44:22,680 --> 01:44:25,400
Speaker 2: You can be very popular. He's currently beating Joe Biden

2165
01:44:25,439 --> 01:44:27,479
Speaker 2: in the polls. And he went to the business roundtable

2166
01:44:27,520 --> 01:44:29,040
Speaker 2: and was like, I'm gonna cut all of your taxes,

2167
01:44:29,320 --> 01:44:31,360
Speaker 2: and only people like you and me are even going

2168
01:44:31,439 --> 01:44:33,360
Speaker 2: to pay attention to any of that. Other people are

2169
01:44:33,400 --> 01:44:34,840
Speaker 2: going to go to the grocery store and say stuff

2170
01:44:34,920 --> 01:44:37,680
Speaker 2: is too pricey or too high. So I mean, and

2171
01:44:37,840 --> 01:44:41,000
Speaker 2: reflected in your speech, what does he even say about

2172
01:44:41,000 --> 01:44:43,640
Speaker 2: the economy, like, other than the economy is bad. In

2173
01:44:43,720 --> 01:44:44,680
Speaker 2: terms of the speeches that you.

2174
01:44:44,760 --> 01:44:47,360
Speaker 6: Read, well, he says, you know, it was awesome when

2175
01:44:47,360 --> 01:44:47,880
Speaker 6: I was pride.

2176
01:44:47,960 --> 01:44:48,320
Speaker 3: Yeah, that's it.

2177
01:44:48,400 --> 01:44:51,160
Speaker 6: He's like, I remember when it was awesome. And people

2178
01:44:51,200 --> 01:44:53,240
Speaker 6: are like, I guess, I get I do, Yeah, I

2179
01:44:53,280 --> 01:44:56,759
Speaker 6: remember that. Yeah, And you know, and that works.

2180
01:44:56,800 --> 01:44:59,320
Speaker 18: There's any strange I'm I'm not saying like I'm not

2181
01:44:59,360 --> 01:45:01,760
Speaker 18: giving it elect analysis, but I will say this, the

2182
01:45:01,880 --> 01:45:05,760
Speaker 18: polling does show that voters think that Trump is on

2183
01:45:05,840 --> 01:45:08,120
Speaker 18: the side of Wall Street more than a lot more

2184
01:45:08,200 --> 01:45:08,559
Speaker 18: than Biden.

2185
01:45:08,600 --> 01:45:10,559
Speaker 6: Oh, and so there is vulnerability there.

2186
01:45:11,600 --> 01:45:13,519
Speaker 4: Yeah, that was really interesting in your report.

2187
01:45:13,600 --> 01:45:15,760
Speaker 1: I encourage people to look at that pulling you pulled

2188
01:45:15,800 --> 01:45:17,599
Speaker 1: down because I hadn't seen that, and I did think

2189
01:45:17,600 --> 01:45:20,280
Speaker 1: that that was really interesting and I bet would represent

2190
01:45:20,439 --> 01:45:23,080
Speaker 1: a massive shift from the way he was positioned in

2191
01:45:23,120 --> 01:45:25,519
Speaker 1: twenty sixteen, where I would say core part of his appeal.

2192
01:45:25,560 --> 01:45:27,120
Speaker 1: I mean it was during the swamp and it was

2193
01:45:27,280 --> 01:45:30,519
Speaker 1: you know, the TPP was a huge piece of his appeal.

2194
01:45:30,960 --> 01:45:33,280
Speaker 1: Anti immigrant was also part of it as well then too.

2195
01:45:33,840 --> 01:45:35,920
Speaker 4: But you know, has the in terms of the.

2196
01:45:35,920 --> 01:45:40,080
Speaker 1: Wall Street money, right, is the shift exclusively that they're

2197
01:45:40,320 --> 01:45:43,240
Speaker 1: more comfany with Trump? He's not saying that stuff anymore. Also,

2198
01:45:43,360 --> 01:45:45,160
Speaker 1: you know, we were there during Trump and things were

2199
01:45:45,160 --> 01:45:45,959
Speaker 1: actually pretty.

2200
01:45:45,760 --> 01:45:46,240
Speaker 4: Good for us.

2201
01:45:46,880 --> 01:45:49,840
Speaker 1: Or is it more that they've been unhappy with some

2202
01:45:49,920 --> 01:45:52,040
Speaker 1: of the actions that Biden has taken, specifically in the

2203
01:45:52,080 --> 01:45:54,360
Speaker 1: area of anti trust where you focus. And also, I

2204
01:45:54,400 --> 01:45:58,559
Speaker 1: mean Biden. The other piece here is Trump was very

2205
01:45:58,720 --> 01:46:00,559
Speaker 1: in spite of you know, the talk of about labor.

2206
01:46:01,000 --> 01:46:04,120
Speaker 1: His National Labor Relations Board was packed with exactly the

2207
01:46:04,200 --> 01:46:07,520
Speaker 1: type of characters you wouldn't expect in any Republican administration,

2208
01:46:07,760 --> 01:46:10,839
Speaker 1: you know, standard approach towards actual labor issues.

2209
01:46:11,040 --> 01:46:12,880
Speaker 4: The Biden administration has taken a different.

2210
01:46:12,640 --> 01:46:13,280
Speaker 3: Tack there as well.

2211
01:46:13,479 --> 01:46:15,519
Speaker 6: Yeah, I think it's kind of funny.

2212
01:46:15,600 --> 01:46:17,840
Speaker 18: So, yeah, just to give you an example, like Trump,

2213
01:46:18,360 --> 01:46:21,439
Speaker 18: remember that the second Max Boeing, Max Crash right and

2214
01:46:21,560 --> 01:46:25,559
Speaker 18: Trump was so like deregulatory that he wouldn't even ground

2215
01:46:25,880 --> 01:46:30,000
Speaker 18: the Max airline like airplanes until every other you know,

2216
01:46:30,320 --> 01:46:31,880
Speaker 18: everyone else in the world that grounded them.

2217
01:46:32,080 --> 01:46:33,400
Speaker 6: And I like saw that recently.

2218
01:46:33,479 --> 01:46:37,000
Speaker 18: I was like, oh yeah, I remember like endless little

2219
01:46:37,040 --> 01:46:40,200
Speaker 18: decision after little decision that I was like kind of terrifying,

2220
01:46:40,400 --> 01:46:42,280
Speaker 18: you know, things like arsenic and water or like the

2221
01:46:42,360 --> 01:46:45,519
Speaker 18: Bowe seventy Max and I And it was really maddening

2222
01:46:45,720 --> 01:46:48,519
Speaker 18: as a liberal to see the like liberals focus on

2223
01:46:48,600 --> 01:46:52,040
Speaker 18: stuff that was stupid instead of the stuff that he like,

2224
01:46:53,360 --> 01:46:55,479
Speaker 18: I remember this whole thing about like, yeah, whatever.

2225
01:46:56,240 --> 01:46:57,200
Speaker 6: But the point is is that.

2226
01:46:58,960 --> 01:47:01,599
Speaker 18: There were there were a lot of like policy choices

2227
01:47:01,720 --> 01:47:03,599
Speaker 18: that I think we kind of ignored that I'm sort

2228
01:47:03,600 --> 01:47:05,360
Speaker 18: of like looking at and saying, oh, that's that's kind

2229
01:47:05,360 --> 01:47:05,920
Speaker 18: of a problem.

2230
01:47:07,000 --> 01:47:10,599
Speaker 1: But on the button side of things, oh yeah, feel

2231
01:47:10,720 --> 01:47:13,000
Speaker 1: about him, because I'm sort of trying to draw you

2232
01:47:13,080 --> 01:47:14,559
Speaker 1: out because we do a lot of you know, by

2233
01:47:14,720 --> 01:47:16,080
Speaker 1: criticism here right right right.

2234
01:47:16,120 --> 01:47:17,400
Speaker 4: And you recently tweeted that.

2235
01:47:17,520 --> 01:47:22,120
Speaker 1: But then pretty good president part and in a certain sense,

2236
01:47:22,160 --> 01:47:24,200
Speaker 1: like I have major issues with him on foreign policy,

2237
01:47:24,280 --> 01:47:27,479
Speaker 1: on economic policy, the stuff you focus on actually agree

2238
01:47:27,600 --> 01:47:30,560
Speaker 1: in a certain on antitrust. I think it's represented a

2239
01:47:30,800 --> 01:47:33,240
Speaker 1: you know, significant shift on the labor issues that I

2240
01:47:33,320 --> 01:47:35,760
Speaker 1: care a lot about. He's represented somewhat of a shift

2241
01:47:35,800 --> 01:47:37,960
Speaker 1: as well. So what's your case for why he's been

2242
01:47:38,040 --> 01:47:40,040
Speaker 1: pretty good and why that may have rubbed Wall Street

2243
01:47:40,040 --> 01:47:40,439
Speaker 1: the wrong way?

2244
01:47:40,680 --> 01:47:41,519
Speaker 6: You know, it's kind of funny.

2245
01:47:41,560 --> 01:47:43,320
Speaker 18: I like to tweet like good but it's pretty good,

2246
01:47:43,320 --> 01:47:45,600
Speaker 18: just because it annoys everyone on Twitter, right, and like

2247
01:47:45,680 --> 01:47:48,240
Speaker 18: the establishment just kind of hates Biden. Like, what's what's

2248
01:47:48,320 --> 01:47:50,759
Speaker 18: interesting is that the establic it's like cool to support

2249
01:47:50,760 --> 01:47:53,320
Speaker 18: Trump now, right, whereas in twenty sixteen it was like

2250
01:47:53,680 --> 01:47:55,439
Speaker 18: cool to support Clinton on Twitter.

2251
01:47:55,520 --> 01:47:57,080
Speaker 3: That's true. I don't know if it's true in general,

2252
01:47:57,120 --> 01:47:57,599
Speaker 3: but yeah.

2253
01:47:59,000 --> 01:48:01,080
Speaker 18: If you go to like any group of young people

2254
01:48:01,160 --> 01:48:03,360
Speaker 18: and you're like, hey, do you like Biden, they'll be

2255
01:48:03,439 --> 01:48:03,680
Speaker 18: like no.

2256
01:48:04,120 --> 01:48:05,200
Speaker 6: Right, like he sucks.

2257
01:48:05,439 --> 01:48:07,560
Speaker 18: But if you're like, and if you see you just

2258
01:48:07,600 --> 01:48:09,400
Speaker 18: put a like you give them like a piece of paper,

2259
01:48:09,439 --> 01:48:10,040
Speaker 18: say who you're going to.

2260
01:48:10,080 --> 01:48:12,759
Speaker 6: Vote for, they'll be let They'll they'll like write Biden.

2261
01:48:13,080 --> 01:48:15,320
Speaker 6: But it's like not cool to say it, right, right,

2262
01:48:16,040 --> 01:48:17,440
Speaker 6: But okay, so Biden.

2263
01:48:17,360 --> 01:48:20,800
Speaker 18: Yeah, he's incoherent and his administration is incoherent, but in

2264
01:48:20,880 --> 01:48:23,880
Speaker 18: a number of ways, like you would think whilst you

2265
01:48:23,920 --> 01:48:25,519
Speaker 18: would really like him, right, because the stock markets at

2266
01:48:25,560 --> 01:48:28,080
Speaker 18: record highs, executive pay is good, like they're making a

2267
01:48:28,120 --> 01:48:30,400
Speaker 18: lot of money, but like they're really mad, and they're

2268
01:48:30,439 --> 01:48:33,559
Speaker 18: really mad because they're not allowed to merge. Right, There's

2269
01:48:33,600 --> 01:48:36,320
Speaker 18: been eleven trillion dollars of mergers that have not happened

2270
01:48:36,400 --> 01:48:39,519
Speaker 18: because there's an antitrust regime that says, no, you can't

2271
01:48:39,520 --> 01:48:41,800
Speaker 18: buy up all your rivals and raise prices. They're also

2272
01:48:41,920 --> 01:48:45,720
Speaker 18: doing things like helping workers organize, which is not something

2273
01:48:45,760 --> 01:48:46,960
Speaker 18: that I feel, it's not the kind of law that

2274
01:48:47,000 --> 01:48:48,920
Speaker 18: I look at, but that is something that's happening. They're

2275
01:48:49,000 --> 01:48:52,679
Speaker 18: doing things like banning non compete agreements, which is really important.

2276
01:48:52,800 --> 01:48:55,080
Speaker 18: Private equity loves to like lock up all the doctors

2277
01:48:55,120 --> 01:48:57,000
Speaker 18: in an area and not let them go work for

2278
01:48:57,120 --> 01:48:59,360
Speaker 18: someone else, or lock up all the vets in an area,

2279
01:48:59,400 --> 01:49:02,120
Speaker 18: our nurses are whatever, and the Biden administration is saying, no,

2280
01:49:02,240 --> 01:49:05,240
Speaker 18: you can't do that. Yesterday, the Biden administration just said

2281
01:49:05,479 --> 01:49:09,000
Speaker 18: we're not going to let Adobe like continue to make

2282
01:49:09,040 --> 01:49:11,519
Speaker 18: it impossible to cancel your subscription.

2283
01:49:11,240 --> 01:49:12,519
Speaker 6: To their like products.

2284
01:49:12,600 --> 01:49:15,240
Speaker 18: Right, and everyone in the creative field is like hates

2285
01:49:15,280 --> 01:49:17,719
Speaker 18: Adobe because they just charge you a lot of money

2286
01:49:17,880 --> 01:49:18,880
Speaker 18: and don't let you.

2287
01:49:19,080 --> 01:49:21,599
Speaker 3: I think it's pretty sure in the back room.

2288
01:49:21,680 --> 01:49:23,320
Speaker 18: But like if you try to cancel, like good luck

2289
01:49:23,360 --> 01:49:25,360
Speaker 18: with you, right, like getting on the phone, like all

2290
01:49:25,400 --> 01:49:27,040
Speaker 18: these junk fees that these guys are laying on you.

2291
01:49:27,160 --> 01:49:29,760
Speaker 18: The thing about those all that stuff is that there's

2292
01:49:29,840 --> 01:49:32,840
Speaker 18: like a billionaire behind every junk fee and they are

2293
01:49:33,000 --> 01:49:35,439
Speaker 18: really mad that like someone is telling them no because

2294
01:49:35,439 --> 01:49:38,599
Speaker 18: they're not used to hearing no, and so like having

2295
01:49:38,680 --> 01:49:41,800
Speaker 18: some now that most of the Democrats don't know that

2296
01:49:41,880 --> 01:49:45,080
Speaker 18: their party is doing this. Like another example is the

2297
01:49:45,200 --> 01:49:48,000
Speaker 18: IRS just came out with its own free version of

2298
01:49:48,680 --> 01:49:51,400
Speaker 18: turbotef free, right, and you can you will now be

2299
01:49:51,479 --> 01:49:54,080
Speaker 18: able to like file your taxes and the people who

2300
01:49:54,160 --> 01:49:56,720
Speaker 18: will be like the customer service are like work at

2301
01:49:56,720 --> 01:50:00,559
Speaker 18: the IRS and like into its stock just like dive.

2302
01:50:01,000 --> 01:50:03,760
Speaker 18: Because but that's like one more thing that's much less

2303
01:50:03,800 --> 01:50:07,000
Speaker 18: annoying in our lives because of what Biden is doing.

2304
01:50:07,080 --> 01:50:08,880
Speaker 18: But it's also like into it's going to be really

2305
01:50:08,960 --> 01:50:11,320
Speaker 18: mad and like they're all you know, all the lobbyist

2306
01:50:11,320 --> 01:50:13,400
Speaker 18: they're all friends with each other, and so that's what's

2307
01:50:13,560 --> 01:50:15,920
Speaker 18: what's going on here is like the nest of people

2308
01:50:16,000 --> 01:50:18,880
Speaker 18: with capital are getting really mad, not because they're losing money,

2309
01:50:18,880 --> 01:50:21,240
Speaker 18: they're actually making more money, but because someone's telling them no.

2310
01:50:21,520 --> 01:50:24,280
Speaker 18: And it's these random people in the Biden administration.

2311
01:50:24,640 --> 01:50:25,160
Speaker 9: Do you have.

2312
01:50:25,240 --> 01:50:28,320
Speaker 1: Confidence those things will continue in a second Biden administration

2313
01:50:28,560 --> 01:50:30,400
Speaker 1: because and I guess this gets to the question of,

2314
01:50:30,520 --> 01:50:34,479
Speaker 1: like what is his orientation towards those policies. This is

2315
01:50:34,520 --> 01:50:36,960
Speaker 1: not something he talks about a lot. They have certainly

2316
01:50:37,040 --> 01:50:40,200
Speaker 1: done a terrible job of selling these pieces, like they

2317
01:50:40,280 --> 01:50:43,080
Speaker 1: don't lean into this. So does Joe Biden know this

2318
01:50:43,240 --> 01:50:45,479
Speaker 1: is happening? Does he care it's happening? Is this important

2319
01:50:45,520 --> 01:50:46,680
Speaker 1: to him in terms of what he would do in

2320
01:50:46,720 --> 01:50:47,280
Speaker 1: a second term.

2321
01:50:49,040 --> 01:50:49,920
Speaker 6: It's a little bit like Trump.

2322
01:50:50,120 --> 01:50:52,960
Speaker 18: We don't know no, right, Like Ron Klean, who was

2323
01:50:53,000 --> 01:50:54,920
Speaker 18: the first white as chief of staff, was super into

2324
01:50:54,960 --> 01:50:55,320
Speaker 18: this stuff.

2325
01:50:55,680 --> 01:50:56,639
Speaker 6: Jeff Science doesn't.

2326
01:50:56,960 --> 01:50:59,960
Speaker 3: He doesn't care. He's also be rich because of the opposite.

2327
01:51:00,080 --> 01:51:02,880
Speaker 6: He's like, you know, he's like anchorman, like Brick Tanlan.

2328
01:51:03,160 --> 01:51:05,360
Speaker 18: He's just like he's polite and rarely late, and that's

2329
01:51:05,360 --> 01:51:09,040
Speaker 18: why he doesn't He's totally superficial. He knows nothing. Like

2330
01:51:09,120 --> 01:51:12,080
Speaker 18: their next chief of staff, after Jeff Science. If he's

2331
01:51:12,120 --> 01:51:14,400
Speaker 18: into this stuff or she's into this stuff, like then

2332
01:51:14,479 --> 01:51:15,160
Speaker 18: it'll be.

2333
01:51:16,640 --> 01:51:17,439
Speaker 3: Biden just doesn't care.

2334
01:51:17,560 --> 01:51:20,000
Speaker 18: We have no well Biden, no Biden. It's not that

2335
01:51:20,080 --> 01:51:23,880
Speaker 18: Biden doesn't care. Biden like has an instinct. He doesn't

2336
01:51:23,920 --> 01:51:25,960
Speaker 18: like people getting screwed. He doesn't like CEOs because he

2337
01:51:25,960 --> 01:51:28,040
Speaker 18: thinks they talk down to him. He like kind of

2338
01:51:28,320 --> 01:51:30,720
Speaker 18: generally is like where could people are getting screwed? But

2339
01:51:30,840 --> 01:51:32,800
Speaker 18: he's not that interested in it and he doesn't follow

2340
01:51:32,840 --> 01:51:36,120
Speaker 18: the details. So, like it's different than Obama. Obama was

2341
01:51:36,280 --> 01:51:40,200
Speaker 18: very like hungry, aggressive and like straight neoliberal. The people

2342
01:51:40,360 --> 01:51:42,960
Speaker 18: are revolting and we need to like put our boot

2343
01:51:43,000 --> 01:51:45,240
Speaker 18: on their neck, right, like Bert in a cool way, right,

2344
01:51:45,320 --> 01:51:47,920
Speaker 18: like that that was his thing, Yeah, yeah, like and

2345
01:51:48,080 --> 01:51:52,880
Speaker 18: he's like an influencer type, right, Like Biden is actually

2346
01:51:53,280 --> 01:51:55,680
Speaker 18: has the opposite view, but he just doesn't His like

2347
01:51:55,800 --> 01:51:58,880
Speaker 18: interest is foreign policy, right where he's doing an awesome job.

2348
01:52:02,240 --> 01:52:02,599
Speaker 6: Anyway.

2349
01:52:02,680 --> 01:52:07,080
Speaker 18: But the thing is, there's a lot of legitimate criticisms

2350
01:52:07,120 --> 01:52:09,160
Speaker 18: of Biden, right, but I think a lot of the

2351
01:52:09,280 --> 01:52:13,760
Speaker 18: like vibe hostility to him is actually coming from big money, right,

2352
01:52:14,080 --> 01:52:17,400
Speaker 18: all of the people in all the people on Wall Street,

2353
01:52:17,520 --> 01:52:20,160
Speaker 18: and Silicon Valley and like they all pay off academia,

2354
01:52:20,320 --> 01:52:23,760
Speaker 18: they're all like, none of them have an incentive to say, yeah,

2355
01:52:24,240 --> 01:52:28,000
Speaker 18: I don't like Adobe overcharging you, right, because there's some

2356
01:52:28,760 --> 01:52:30,519
Speaker 18: group of people making money from that, and they're all

2357
01:52:30,520 --> 01:52:32,479
Speaker 18: friends with group of people making money from everything. It's

2358
01:52:32,560 --> 01:52:35,080
Speaker 18: like you, if you attack the things that people don't

2359
01:52:35,200 --> 01:52:38,200
Speaker 18: like in our society and commerce, you will make people

2360
01:52:38,360 --> 01:52:40,240
Speaker 18: very angry. And that is why when I put up

2361
01:52:40,360 --> 01:52:42,280
Speaker 18: on Twitter, because I think of Twitter as like, you know,

2362
01:52:42,320 --> 01:52:44,599
Speaker 18: it's sort of like that's what organized money is talking about.

2363
01:52:45,439 --> 01:52:47,800
Speaker 18: When you put up something on Twitter like Biden's pretty good,

2364
01:52:47,920 --> 01:52:50,960
Speaker 18: Like you know, the rage, like the level of rage.

2365
01:52:51,000 --> 01:52:53,160
Speaker 6: They're not like, oh, well, you know, but what is

2366
01:52:53,240 --> 01:52:54,519
Speaker 6: what about it? What he's doing there or there?

2367
01:52:54,560 --> 01:52:57,559
Speaker 18: It's like here or there, it's the rage is aggressive

2368
01:52:57,880 --> 01:52:59,680
Speaker 18: and you can and it's out of it's out of

2369
01:52:59,840 --> 01:53:02,120
Speaker 18: like whack to what he's truly doing.

2370
01:53:02,320 --> 01:53:03,559
Speaker 4: Yes, I think that's fair.

2371
01:53:03,960 --> 01:53:07,280
Speaker 1: Last thing I'll question you on, though, is my assessment's

2372
01:53:07,280 --> 01:53:09,760
Speaker 1: a little bit different, which is that I think the

2373
01:53:09,840 --> 01:53:13,720
Speaker 1: things you're talking about, especially the antitrust piece, also the

2374
01:53:13,800 --> 01:53:16,559
Speaker 1: labor organizing piece, is very important to me. I think

2375
01:53:16,600 --> 01:53:19,560
Speaker 1: these could make a significant difference in our economy a

2376
01:53:19,600 --> 01:53:21,680
Speaker 1: little bit down the road, but it doesn't pay off

2377
01:53:21,720 --> 01:53:22,800
Speaker 1: for people by and large.

2378
01:53:22,840 --> 01:53:23,679
Speaker 4: I mean the junk fees.

2379
01:53:23,479 --> 01:53:26,439
Speaker 1: Stuff that's real right now, but it doesn't pay off

2380
01:53:26,600 --> 01:53:29,240
Speaker 1: right now in the short term. And on the other hand,

2381
01:53:29,439 --> 01:53:31,640
Speaker 1: you've had over the course of Biden administration, all of

2382
01:53:31,720 --> 01:53:34,840
Speaker 1: the COVID social safety net that was spun up. You've

2383
01:53:34,880 --> 01:53:37,040
Speaker 1: had that, piece by piece by piece taken away, so

2384
01:53:37,160 --> 01:53:38,800
Speaker 1: that you know, people are more strapped in terms of

2385
01:53:38,840 --> 01:53:39,559
Speaker 1: cash that the mountain.

2386
01:53:39,560 --> 01:53:41,040
Speaker 4: Their bank account is lower.

2387
01:53:41,080 --> 01:53:44,360
Speaker 1: You've seen net worth, especially among some demographics, continue to decline.

2388
01:53:44,720 --> 01:53:46,680
Speaker 1: If you're a young person, you're looking at the housing order,

2389
01:53:46,720 --> 01:53:48,759
Speaker 1: You're like, I'm never going to be able to afford house.

2390
01:53:49,200 --> 01:53:52,280
Speaker 1: You've had inflation, inflation as cooling somewhat. Prices are still

2391
01:53:52,360 --> 01:53:55,400
Speaker 1: much higher than they were under the Trump administration. So

2392
01:53:55,880 --> 01:53:58,720
Speaker 1: I think there's some there there, especially among you know,

2393
01:53:58,800 --> 01:54:01,280
Speaker 1: people who were not yet at owners in terms of

2394
01:54:01,320 --> 01:54:03,479
Speaker 1: their sense of how this economy is for them right

2395
01:54:03,520 --> 01:54:04,160
Speaker 1: now in this moment.

2396
01:54:04,720 --> 01:54:06,439
Speaker 6: Well, who cares about people who don't have ass.

2397
01:54:08,520 --> 01:54:08,560
Speaker 2: No?

2398
01:54:08,760 --> 01:54:12,120
Speaker 6: I yeah, No, I mean I think we'll end it there.

2399
01:54:12,240 --> 01:54:12,280
Speaker 2: No.

2400
01:54:12,439 --> 01:54:15,640
Speaker 6: I mean, well, look at something very basic which is

2401
01:54:15,720 --> 01:54:16,280
Speaker 6: gas prices.

2402
01:54:16,439 --> 01:54:18,679
Speaker 18: Okay, gas prices have come down a lot, and they've

2403
01:54:18,720 --> 01:54:21,120
Speaker 18: come down a lot because of Biden policies, right, and

2404
01:54:21,520 --> 01:54:23,800
Speaker 18: very explicitly, like they figured out there was a big

2405
01:54:23,880 --> 01:54:28,240
Speaker 18: price fixing conspiracy in terms of withholding production the fracking companies,

2406
01:54:28,760 --> 01:54:31,840
Speaker 18: and then they released oil from the strategic petroleum reserve

2407
01:54:32,200 --> 01:54:33,959
Speaker 18: to break that cartel.

2408
01:54:34,400 --> 01:54:37,720
Speaker 6: It worked, and gas prices are much lower than they were.

2409
01:54:37,880 --> 01:54:40,640
Speaker 18: They're not as necessarily as low as they were before

2410
01:54:40,680 --> 01:54:42,880
Speaker 18: the pandemic, but they have come down a lot. Okay,

2411
01:54:43,440 --> 01:54:49,320
Speaker 18: the rent okay or airplanes, right, airlines prices are actually

2412
01:54:49,440 --> 01:54:52,400
Speaker 18: below where they were in twenty nineteen. You take something

2413
01:54:52,480 --> 01:54:55,000
Speaker 18: like rent rent is a huge problem, but the Bidenmistration

2414
01:54:55,080 --> 01:54:57,839
Speaker 18: is actually bringing an anti trust case against a company

2415
01:54:58,160 --> 01:55:00,920
Speaker 18: that has saw that fixes.

2416
01:55:01,840 --> 01:55:01,920
Speaker 13: Right.

2417
01:55:02,040 --> 01:55:04,400
Speaker 18: So you guys, you guys know, like yeah, of course,

2418
01:55:04,480 --> 01:55:07,200
Speaker 18: but like the you're one of the only people that

2419
01:55:07,280 --> 01:55:10,720
Speaker 18: know about it. If you don't explain what you're doing, right,

2420
01:55:10,920 --> 01:55:13,080
Speaker 18: then how are people going to know? I mean, there

2421
01:55:13,120 --> 01:55:16,680
Speaker 18: are real art Like Trump said I lowered pharmaceutical prices.

2422
01:55:16,760 --> 01:55:18,800
Speaker 18: It wasn't true, but a lot of people believe it

2423
01:55:18,840 --> 01:55:21,000
Speaker 18: because he kept saying it. Right, This is not a

2424
01:55:21,040 --> 01:55:23,040
Speaker 18: criticism of Trump. It's kind of like, if you don't

2425
01:55:23,120 --> 01:55:25,560
Speaker 18: explain what you're doing, there's no way for anyone to

2426
01:55:25,640 --> 01:55:28,000
Speaker 18: know what you're doing. So it's true, there are a

2427
01:55:28,040 --> 01:55:31,120
Speaker 18: lot of huge problems that I think people are experiencing.

2428
01:55:31,160 --> 01:55:32,880
Speaker 18: There are always a lot of huge problems that people

2429
01:55:32,920 --> 01:55:38,040
Speaker 18: are experiencing. I'm not like a political expert or anything,

2430
01:55:38,120 --> 01:55:40,160
Speaker 18: but it does seem to me like if you are

2431
01:55:40,280 --> 01:55:43,080
Speaker 18: not explaining what you're doing, then people aren't going to

2432
01:55:43,200 --> 01:55:43,880
Speaker 18: know what you're doing.

2433
01:55:44,120 --> 01:55:45,320
Speaker 6: It just seems very basic.

2434
01:55:46,520 --> 01:55:48,640
Speaker 2: But yeah, all right, well it's great talking to you. Man,

2435
01:55:48,880 --> 01:55:51,680
Speaker 2: appreciate you coming down. People should read the piece and

2436
01:55:51,720 --> 01:55:54,480
Speaker 2: subscribe to the substack, otherwise we'll see you all later.