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

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

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

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

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

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

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

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

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

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Speaker 2: What do we have, Crystal boy.

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Speaker 1: Oh boy, there's some interesting stories out there this morning.

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Speaker 1: We're going to start with this wild DOJ indictment that

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Speaker 1: involves a bunch of top online influencers. That details are

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Speaker 1: really quite extraordinary. So break all of that down for you.

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Speaker 1: Part of a broader crackdown on a Russian disinformation influence campaign.

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Speaker 1: So we'll get into that broader effort as well. Trump

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Speaker 1: did a Fox News town hall last night, was Sean Hannity,

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Speaker 1: a lot of hard hitting questions there, but there were

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Speaker 1: some interesting moments they would want to take you through.

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Speaker 2: Despite it was despite Hannity, we got to yeah exactly yeah.

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Speaker 1: And also it was built as a town hall, but

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Speaker 1: then nobody actually asking Sean Hannity, what's going on with

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Speaker 1: that whatever, So we'll show you the highlights, low lights, whatever,

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Speaker 1: lights from that. We also have some new polls to

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Speaker 1: break down for you, in particular a slew of new

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Speaker 1: battleground polls from CNN that are quite interesting and if

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Speaker 1: they came to fruition, would have the electoral college map

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Speaker 1: so incredibly close. So this election continues to, you know,

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Speaker 1: be just as as tight as it possibly could be.

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Speaker 1: We're also going to break down fact from fiction on

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Speaker 1: this wild a or a gang apartment building story that

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Speaker 1: has gone viral that Elon Musk has been promoting. I'll

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Speaker 1: just leave it at that, and we'll take you through all.

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Speaker 2: The details once we get to that flock. So Boomers

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Speaker 2: are up in arms about it, Yes, well perhaps you, yes.

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Speaker 1: Indeed, all right, so let's go and get to this story.

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Speaker 1: Just bear with me while I go through the details,

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Speaker 1: because I think it will pay off for you in

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Speaker 1: the end. So the dj put online an indictment of

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Speaker 1: two Russian nationals who work for our team.

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Speaker 3: Okay, what they are alleged to have.

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Speaker 1: Done is to have funneled ten million dollars through a

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Speaker 1: Tennessee based content creation company called Tenant Media. Okay, we

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Speaker 1: can put this story up on the screen. So your

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Speaker 1: major players are these two Russian nationals. They're the ones

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Speaker 1: who are indicted. This media startup called Tenant who has

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Speaker 1: a number of very highly recognizable and influential right wing

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Speaker 1: media creators on their payroll, including Dave Rubin, Benny Johnson, Timpoole,

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Speaker 1: Lauren Southern, and a couple others. I was less familiar

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Speaker 1: with Matt Christiansen, yes, and somebody Hansen.

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Speaker 2: Yes, it's like the.

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Speaker 1: Same name as somebody from the Hanson Bannon but it's

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Speaker 1: not the same guy.

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Speaker 3: And I actually looked it out just to make the.

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Speaker 2: Major names of Danny Johnson, Timpoole, and Dave Ruben, I

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Speaker 2: think may.

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Speaker 3: Those are the major ones.

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Speaker 1: Yes, okay, And again, none of these individuals are accused

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Speaker 1: of wrongdoing. However, the details here are quite extraordinary. So

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Speaker 1: Tenant Media hires these influencers for extraordinaries of money to

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Speaker 1: produce some content for them.

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Speaker 3: I'm talking like.

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Speaker 1: One hundred thousand dollars of video. Under the pretext that

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Speaker 1: the Tenet Media people, run by Lauren Chen and her

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Speaker 1: husband what's his name, dov Liam Donovan under the pretext,

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Speaker 1: which they apparently knew was a false pretext, that there

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Speaker 1: was this elusive, wealthy businessman who was funding all of this.

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Speaker 1: And again we're talking like one hundred thousand dollars.

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Speaker 3: Of video plus.

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Speaker 1: Insane amounts of money for this. Okay, So it turns

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Speaker 1: out that this elusive businessman is totally made up. Turns

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Speaker 1: out that these two rt like Russian agents, effectively were

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Speaker 1: influencing content. They were in the discord telling these creators

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Speaker 1: and the producers involved with these videos that were being

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Speaker 1: you know, produced for this money, like, hey, let's focus

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Speaker 1: in on this angle of maybe it was Ukraine that

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Speaker 1: was behind the isis Moscow attack. Hey, why don't you guys,

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Speaker 1: why don't you guys put this Tucker Carlson grocery shopping video.

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Speaker 3: I'll show you that in a minute.

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Speaker 1: Which is hilarious because one of the producers was actually

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Speaker 1: like this, see just seems like direct shilling, and they're like, no, no,

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Speaker 1: you should do it, and they're like, okay, fine, we'll

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Speaker 1: do it. So directly shaping content and getting paid through

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Speaker 1: this shady enterprise that comes truck. This is what's in

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Speaker 1: the indictment. Okay, these are the allegations from the government.

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Speaker 1: So let me read you a little bit of that

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Speaker 1: article that we just had up that says, the indictment

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Speaker 1: claims the personalities on tenant, we're not aware of the

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Speaker 1: backgrounds and intentions of the two Russians, and the funding

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Speaker 1: for the company came through a Canadian shell company from

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Speaker 1: a frontman named and this is the fake.

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Speaker 3: Guy Edward Gregorian, who did not exist.

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Speaker 1: Despite the fact that Google searches for Edward Gregorian did

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Speaker 1: not return any results. Two of the commentators, and it

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Speaker 1: appears that those two commentators are one of them's definitely Timpoole,

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Speaker 1: the other one's probably Benny Johnson, potentially Dave Rubin, are

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Speaker 1: the sort of focus of a lot of what's in

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Speaker 1: this indictment. In any case, despite the fact that the

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Speaker 1: Google searches didn't return any hits for this dude, the

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Speaker 1: two commentators went through with the deal. The indictment alleges

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Speaker 1: after receiving a resume. Let's put a two up on

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Speaker 1: the screen that has a little bit more detail.

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Speaker 3: Eventually they did the deal.

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Speaker 1: Benny Johnson, we think that could be Dave Rubin, but

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Speaker 1: one of the two of them would unknowingly work for

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Speaker 1: the Russians for four hundred thousand dollars a month in

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Speaker 1: exchange for four monthly videos. Guys, we work in this

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Speaker 1: into That is an insane amount of money per video,

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Speaker 1: plus a one hundred thousand dollars signing bonus. Apparently Tim

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Speaker 1: Poole also got one hundred thousand dollars a video, but

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Speaker 1: no signing bonus. This person opines weak negotiating skills. Let's

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Speaker 1: put the next piece up on the screen. This is

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Speaker 1: the Tucker grocery store situation. I was telling you about

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Speaker 1: so on or about February fifteenth. They say, one of

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Speaker 1: these producers who was using pseudonym, who was also who

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Speaker 1: was actually a Russian national works for RT and one

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Speaker 1: of the individuals who's actually indicted, shared with Tenant Media

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Speaker 1: a video of they say, a well known US political

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Speaker 1: commentator visiting a grocery store in Russia.

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Speaker 3: We all know that's Tucker.

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Speaker 1: Carlson, but Russian National posted the video in the producer

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Speaker 1: Discord channel. Later that day, a producer privately messaged one

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Speaker 1: of the founders, Lauren Chen on Discord and said, they

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Speaker 1: want me to post this, referencing the video that the

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Speaker 1: Russian national had posted, but it just feels like overt shilling.

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Speaker 1: Lauren Chen replies that her husband thinks we should put

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Speaker 1: it out there. The producer acquiesces, responding, all right, I'll

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Speaker 1: put it out tomorrow. So one of the reasons this

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Speaker 1: detail is important is because it shows the direct impact

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Speaker 1: that these Russian nationals who were posing as not Russian

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Speaker 1: nationals and who were involved in this producer discord, were

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Speaker 1: exerting on the type of content that was being produced.

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Speaker 1: Let's put the ICE's Ukraine piece up here as well.

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Speaker 1: It's another instance where they were trying to influence the

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Speaker 1: content that was being put out by these creators. The

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Speaker 1: Russians wanted to blame the i's Moscow attack this person

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Speaker 1: who fines on Ukraine.

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Speaker 3: They got commentator three.

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Speaker 1: To do it, so that would either be Dave Rubin

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Speaker 1: or Benny Johnson. Were not sure because the reason we're

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Speaker 1: able to deduce who these people were is because the

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Speaker 1: indictment lists not their names, but the number of YouTube

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Speaker 1: subscribers they have, and Dave Rubin and Betty Johnson have

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Speaker 1: basically the same number of subscribers. That's why we're not

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Speaker 1: sure which is which. And they both ended up putting

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Speaker 1: out statements. We'll get to those in a moment, but

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Speaker 1: sager initial reactions to this extraordinary chain of alleged events, which, by.

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Speaker 3: The way, no one is really denying it.

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Speaker 2: Oh none of them are. Ye, Lauren Chen is not

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Speaker 2: put out a statement, neither her husband Liam Donovan. So again,

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Speaker 2: just to recap, in the indictment, Dave Rubin, Benny Johnson,

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Speaker 2: and Tim Poole were not aware, according to the US government,

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Speaker 2: that they were being paid via Russian cutouts. But the

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Speaker 2: indictment makes it very clear that Lauren Chen and her

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Speaker 2: husband were aware that quote it was the Russians in

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Speaker 2: private communications right between the two of them. Multiple other

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Speaker 2: circumstantial evidence guys showing that they were like when they

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Speaker 2: couldn't get a risk spons for why invoices weren't being paid,

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Speaker 2: they were googling time in Moscow as to why all

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Speaker 2: of this was not coming in on time. I mean,

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Speaker 2: at a philosophical level, it's sad, honestly, because it's very

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Speaker 2: clear that the money was just so good that nobody

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Speaker 2: was was not asking real questions. So, for example, let's

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Speaker 2: put a five please up on this. This is delicious

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Speaker 2: because at one point They're like, hey, who is the guy?

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Speaker 2: I want to see something about him? And this is

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Speaker 2: literally the resume that was sent to them of some

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Speaker 2: mystery rich man named Edward Gregorian. Now we don't have

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Speaker 2: a full Like the resolution on this is actually quite

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Speaker 2: bad because it comes from the indictment itself, but it

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Speaker 2: says experience finance, professional investor, deeply engaged in business and philanthropy,

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Speaker 2: leveraging skills and resources to drive positive impact. Just a

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Speaker 2: bunch of complete bullshit, honestly. Life and education. They say

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Speaker 2: that he had a bachelor's degree in economics and master's

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Speaker 2: in accounting. He had some professional experience in financial analysis

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Speaker 2: and consulting, but they list some fake banks that he

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Speaker 2: had allegedly worked at, and in general said he was

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Speaker 2: an accomplished financial professional, mister Gregorian. The problem is is

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Speaker 2: that a basic amount of research would have revealed that

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Speaker 2: Gregorian does not exist because there was no financial footprint.

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Speaker 2: There was no footprint on bank websites, there was no

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Speaker 2: Google history. I mean, it's basically impossible in the world

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Speaker 2: at this point to become a person who could afford

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Speaker 2: ten million dollars funneling to these people without having a

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Speaker 2: financial profile at all. It's basically the chance is zero,

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Speaker 2: especially if you were working in finance LinkedIn any bank records,

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Speaker 2: bank websites, you know, even if you were using archive

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Speaker 2: or wayback machine or any of those, you'd be able

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Speaker 2: to find them. And so that should have set off

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Speaker 2: major alarm bills. But really what it is is that

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Speaker 2: because we work in this business, sorry, those sums are insane.

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Speaker 2: And if you go on the Tenet Media YouTube channel,

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Speaker 2: the videos were getting like eight thousand views. Okay, So

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Speaker 2: just so everybody understands, eight thousand views, I mean, how

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Speaker 2: much you make off that, Maybe one hundred and fifty

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Speaker 2: bucks maybe maybe maybe if the producers want to correct me,

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Speaker 2: they can, but it actually could be less. It could

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Speaker 2: be like fifty oh they say much less. Oh okay,

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Speaker 2: I don't think.

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Speaker 3: Yeah, yeah, well we don't.

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Speaker 2: Get that low amount of I mean, I don't know.

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Speaker 3: But especially when you consider the amount of product, I.

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Speaker 2: Mean the production value.

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Speaker 1: And I read in this entire indictment, which was enjoyable,

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Speaker 1: to be honest with you, because some of the details

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Speaker 1: there again are really quite entertaining. People were raising at

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Speaker 1: the time, like yeah, you know the Tim Poole and

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Speaker 1: whether it was Dave Ruben or Betty Johnson like they

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Speaker 1: want all this money. There's no way this is going

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Speaker 1: to be economic. And the Russians come back to are like, no, We're.

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Speaker 3: Good with it. It's like, okay, what are we doing here?

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Speaker 1: And the other funny thing about the fake resume, So

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Speaker 1: whether Betty Johnson or Dave Ruben, whoever was the commentator

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Speaker 1: that was, you know, raising these questions and was asking like, hey,

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Speaker 1: you know, I can't find anything about this guy, like

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Speaker 1: can you send me something?

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Speaker 3: And so it gets this farcical resume pass.

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Speaker 2: Yeah.

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Speaker 1: And the one concern that he raises is somewhere in

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Speaker 1: the buzzword gobbledegook that's on this resume, it references social justice.

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Speaker 3: And that was the one thing that he was like, WHOA,

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Speaker 3: I don't know, I don't know.

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Speaker 2: I'll speak up for it. That is a red flag,

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Speaker 2: right because if somebody has that on your on your

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Speaker 2: resume and you don't know anything.

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Speaker 3: That of all those situation that would.

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Speaker 2: Mean for me, the red flag is the money. I'd

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Speaker 2: be like, hold on, so you won't pay me four

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Speaker 2: hundredand a month to post four videos and each of

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Speaker 2: those four videos going to get eight thousand views. So

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Speaker 2: you're going to make maybe a couple hundred bucks at

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Speaker 2: best over all of this, So what's in it for you?

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Speaker 1: But you know the fact of the matter is, and

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Speaker 1: you could speak to this probably about that, I can't.

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Speaker 1: Like there is a lot of ideological money floating around

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Speaker 1: in right wing circles. I mean this is like sort

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Speaker 1: of in defense of them that you know, there's all

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Speaker 1: these billionaires and one other taxes cut and so even

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Speaker 1: if they don't and ten million dollars is nothing to them.

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Speaker 1: And so even if it's the posting of that one

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Speaker 1: video is an economic they're engaged in a broader ideological

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Speaker 1: project that they believe is going to pay off for

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Speaker 1: them over time. And so I mean that's what's crazy,

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Speaker 1: is like, obviously we don't swim in these why we

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Speaker 1: don't take money for many it's like all dependent on

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Speaker 1: you guys, and you know, like really important obviously that we.

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Speaker 3: Do those things. But that's why when.

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Speaker 1: I read through this, it feels so preposterous because that

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Speaker 1: amount of money just being thrown at you to do

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Speaker 1: four video a month, yea, is insane.

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Speaker 2: Well, I'll speak to a couple of things. Yeah, First

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Speaker 2: is the way that we set up our business. I'm

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Speaker 2: extremely vindicated on this because for people who you know,

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Speaker 2: we've spoken about this some at length, but we are

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Speaker 2: one hundred percent financed by our premium subscribers through our

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Speaker 2: subscription program, and then programmatic advertising, which is placed on

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Speaker 2: YouTube or podcast ads.

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Speaker 1: That means your face never talk to an advertisers an

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Speaker 1: advertising period.

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Speaker 2: In fact, the only input that we have is that

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Speaker 2: in certain categories that we don't want, so we could

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Speaker 2: actually make even more money if we're willing to have

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Speaker 2: like shilling credit cards or any of those other things playing.

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Speaker 3: We're just want ads on our podcast.

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Speaker 2: So that was my next thing. So then the next

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Speaker 2: phase of that, and this is where you know, there's

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Speaker 2: been a lot of pressure always from any people who

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Speaker 2: are involved in business that they're like, well, you know,

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Speaker 2: you can make five to ten times more if you

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Speaker 2: were to just read ads, and we're always like, yeah,

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Speaker 2: but you know, should a guy who's bringing you the

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Speaker 2: news really be reading a ball shaving ad? Like I

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Speaker 2: don't only think so. And by the way, that is

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Speaker 2: where the most money is, or blueto or any of

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Speaker 2: these others. If you're a comedian, I totally get it.

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Speaker 2: That's fine. Get your bag, you know, But whenever you're

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Speaker 2: in news like, it's just different. And so we never

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Speaker 2: chased outside revenue. And that's part of what I see here,

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Speaker 2: is that when you're out there and you're making deals

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Speaker 2: with gold companies and shaving companies and all these other things,

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Speaker 2: maybe it doesn't seem as preposterous if somebody wants to

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Speaker 2: pay you x on hundred thousand dollars a month. And

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Speaker 2: that's just in the private sector. Remember, these guys are

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Speaker 2: getting millions and millions of views, Like, let's be real,

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Speaker 2: there's a lot of money floating around. And then secondary

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Speaker 2: to that is what you identified. And this is where

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Speaker 2: I'm going to give them some defense and also just

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Speaker 2: some criticism here of the DOJ where it's not one

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Speaker 2: hundred percent fair. How many people do you guys know,

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Speaker 2: who are on YouTube or elsewhere where you just suspect

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Speaker 2: maybe these people are getting paid by Israel, by Ukraine, bye,

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Speaker 2: I mean anybody, by Katar, by the Dubai, the United

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Speaker 2: Arab Emirates, by anybody who has a vested interest in

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Speaker 2: influencing US politics. In fact, I have it on good

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Speaker 2: authority that there are several so called war YouTubers who

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Speaker 2: are out there who are directly on the payroll of

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Speaker 2: the Ukrainian government and or cutouts of the US intelligence community.

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Speaker 2: You know, we've covered and we will get to this

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Speaker 2: in terms of secret Israeli influence operations, Katari and influence operations,

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Speaker 2: Iranian perhaps influence operations with a DJ obviously is very

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Speaker 2: particularly singling out these Russian this Russian scheme of ten

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Speaker 2: million dollars. Now, is that an excuse? No, because here's

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Speaker 2: the truth. People with ethics or people with scruples like

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Speaker 2: we would do this. We would never even be in

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Speaker 2: a position where a deal like this even gets presented. Yeah,

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Speaker 2: because our representatives are very aware. They're like, no, it's

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Speaker 2: not on the table, not on the except.

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Speaker 1: Yeah, exactly, And yeah, I mean I would have a

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Speaker 1: lot of questions beyond like, let me say, social justice.

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Speaker 1: If someone's trying to throw that kind of money at you,

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Speaker 1: that's immediate red flag, and we wouldn't even.

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Speaker 3: Be in a position to field those deals.

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Speaker 1: You're exactly right, because the people we work with know

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Speaker 1: that we would never ever even consider going.

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Speaker 3: Down that path. But I mean the thing that, so

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Speaker 3: your point.

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Speaker 1: Is correct, there's obviously very selective enforcement of these laws.

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Speaker 1: And if it's you know, friends then of the official

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Speaker 1: friends of the United States, then okay, no problems on

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Speaker 1: whoever you want, run whatever influence campaigns you want. We're

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Speaker 1: going to talk more about that when we talk about

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Speaker 1: the sort of broader operation that they're conducting here the

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Speaker 1: DOJ is conducting under Merret Garland. No doubt that it's

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Speaker 1: selective enforcement. But also the specific thing they're accused of,

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Speaker 1: not again, not Timpoole, not Dave Rubin, not whoever, but

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Speaker 1: the Russian nationals are accused of.

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Speaker 3: I mean, it obviously is.

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Speaker 1: Illegal and should be illegal if the allegations are correct,

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Speaker 1: because not only I mean they adopted pseudonyms, they created

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Speaker 1: a fake persona, they funneled, they laundered this money through

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Speaker 1: shell companies. They were in these discord producer chats like

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Speaker 1: under pseudonyms, pretending to be people that they weren't to

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Speaker 1: manipulate this coverage like this is this is really it

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Speaker 1: is really dirty and the fairies. Then the thing that

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Speaker 1: discussed me to Saga is like, you know, you're every

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Speaker 1: time we have some opinions on Ukraine, on Israel, on

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Speaker 1: what we've been accused of taking taking money from this

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Speaker 1: regime or that, and so when you actually did it,

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Speaker 1: you give so much credence. He was going to get

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Speaker 1: to that, you give so much credence to these arguments

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Speaker 1: that anyone who has a view that's not the official

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Speaker 1: US mainstream narrative, Oh well, they really have a secret agenda.

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Speaker 1: They're really, you know, a useful idiot, like apparently Tempole

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Speaker 1: and Dave Ruben and Benning ja are.

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Speaker 3: So and that's what is.

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Speaker 1: That's even though you know, like I said, I find

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Speaker 1: the details sort of amusing, I also am like disgusted

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Speaker 1: by it because it gives so much credence to those

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Speaker 1: bad faith attacks that anyone who descends on the Ukraine

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Speaker 1: War is actually being paid in rubles by the Kremlin.

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Speaker 2: Or whatever exactly, and that on Ukraine and on Israel specifically.

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Speaker 2: I mean Lorne Chen was somebody who was very vociferous

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Speaker 2: about dual loyalty accusations and about she actually spoke about

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Speaker 2: free speech for hamas protester. Is one of the very

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Speaker 2: few right like right people who is doing that. And

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Speaker 2: now everybody who is pro Israel is mismissing her out

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Speaker 2: of hand and is like, look, she was actually the

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Speaker 2: one guilty of dual loyalty at the time, and guess what,

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Speaker 2: they're right. It's actually true. She literally knew according to

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Speaker 2: the indictment. Look, maybe she has a defense. We haven't

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Speaker 2: heard it yet. I've looked for statements from both her

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Speaker 2: and her husband, nothing about whether what the allegations are

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Speaker 2: true or not. That's a real problem, you know. And

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Speaker 2: also in the independent media space, like you were saying,

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Speaker 2: questioning Ukraine, how many times have accusations been leveled here? Oh,

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Speaker 2: you're a pro Russian propagandist. It's like, well, apparently not

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Speaker 2: a good one, because I'm not be nice by a

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Speaker 2: pretty fancy cyber truck. I think some of that money up.

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Speaker 2: But that's this is the issue, is that now all

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Speaker 2: of independent people, especially people with descending views, are going

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Speaker 2: to get smeared to high heaven by all of these

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Speaker 2: you know who knows the Mueller she wrote, empty wheel,

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Speaker 2: all of these lunatics, literal Russia Gate obsessed lunatics. They're

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Speaker 2: having the greatest field day that they've ever had. I

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Speaker 2: even see you know, generals, people like Mark Hurtling over

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Speaker 2: at CNN. He's like, this is the tip of the iceberg.

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Speaker 2: The Russian propaganda machine and all that and they take

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Speaker 2: a they're going to take this kernel and explode it

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Speaker 2: out to anybody who has a descending view. So I

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Speaker 2: guess if any other independent creators and all that are

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Speaker 2: out there, it is so imperative. Actually the onus is

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Speaker 2: on you, and I don't think it's fair, right because

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Speaker 2: what is paying its bills with pharma money? So is

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Speaker 2: Fox News and all these other people. And they don't

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Speaker 2: have to answer any questions because there's a legitimate and

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Speaker 2: legal and that's all cool. They take political advertising dollars

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Speaker 2: and literally go to the campaigns and sell them airtime.

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Speaker 2: Apparently that's fine.

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Speaker 1: Was it Saudi or one of the golf monarchies where

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Speaker 1: they directly took a bunch of money and did a

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Speaker 1: whole vertical that was just like, you know, propaganda to

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Speaker 1: that country.

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Speaker 3: I remember that CNN does that course.

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Speaker 2: Remember CNN Turk. That's actually a whole ball bag of

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Speaker 2: worms and nobody.

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Speaker 3: I don't know anything about.

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Speaker 2: My point is just they don't have to answer for

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Speaker 2: all the sketchy hundreds of billions that they take from

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Speaker 2: you know, major corporations, financial interest, Gold, Viagra and all

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Speaker 2: these other places. And you know that's a double standard.

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Speaker 2: But it doesn't matter. We're up against a system, and

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Speaker 2: the system will use this to try and smear and destroy.

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Speaker 2: You've given them more ammunition they could ever want, you know,

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Speaker 2: and from now on that's just going to be the

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Speaker 2: classic thing that people put out there. Why don't we

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Speaker 2: get to the statement.

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Speaker 1: Let's put Tim's statement ut this a six. By the way,

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Speaker 1: you mentioned Lauren Chen hasn't put out a statement, at

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Speaker 1: least when I was looking yesterday, she hadn't. I wonder

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Speaker 1: if she's worried about legal jeopardy, because so I.

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Speaker 2: Spoke to Brad Moss. Yeah, it was like she's in

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Speaker 2: big trouble. The fact that she didn't meaning meet indicted

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Speaker 2: this time around is kind of astounding. And maybe she's

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Speaker 2: cooperating with the government. I find it hard to believe

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Speaker 2: she was retweeting people and posting as of like eleven

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Speaker 2: hours ago when they're the indoutment. Indictment came out, Yeah,

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Speaker 2: how is that possible? Right?

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Speaker 1: Well, because again there's no allegation that Tim Dane, Ruben,

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Speaker 1: Benny Johnson, Lauren Souther and these other people did anything

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Speaker 1: wrong In the indictment. They say, look, they had they

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Speaker 1: had no idea, right, but the indictment alleges that Lauren

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Speaker 1: Chen and Liam Donovan did know and referring to them

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Speaker 1: as the Russians and were deceiving. Tim Pool, you know,

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Speaker 1: Benny Johnson, Dave Rubin at OL. So yeah, I do

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Speaker 1: wonder if they're in legal jeopardy anyway. Here's Tim statement,

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Speaker 1: he says, my statement regarding allegations and the leak DOJ indictment.

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Speaker 1: By the way, he corrected that it wasn't leaked, It

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Speaker 1: was just like officially posted on their website.

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Speaker 3: Anyway.

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Speaker 1: Shouldn't these allegations prove true, I, as well as the

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Speaker 1: other personalities and commentators, were deceived and are victims. Cannot

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Speaker 1: speak for anyone else at the company as to what

433
00:21:13,640 --> 00:21:15,960
Speaker 1: they do or to what they are instructed. The Culture

434
00:21:16,000 --> 00:21:18,760
Speaker 1: War podcast was licensed by Tenant Media. It existed well

435
00:21:18,800 --> 00:21:21,479
Speaker 1: before any license agreement with Tenant, and it will continue

436
00:21:21,520 --> 00:21:24,720
Speaker 1: to exist after any such agreement expires. The only change

437
00:21:24,720 --> 00:21:27,000
Speaker 1: with the agreement was that the locational live broadcast moved

438
00:21:27,040 --> 00:21:31,280
Speaker 1: to Tenant's YouTube channel. I and TCW never produced any

439
00:21:31,280 --> 00:21:34,160
Speaker 1: content for Contenant Media. Never at any point did anyone

440
00:21:34,200 --> 00:21:36,680
Speaker 1: other than I have full editorial control of the show

441
00:21:36,680 --> 00:21:38,720
Speaker 1: and the contents of the show are often aid political.

442
00:21:38,760 --> 00:21:41,440
Speaker 1: Examples include discussing spirituality, dating, and video games.

443
00:21:41,520 --> 00:21:42,479
Speaker 3: Yeah, that's what he's known for.

444
00:21:42,760 --> 00:21:44,920
Speaker 1: The show is produced in its entirety by our local

445
00:21:44,920 --> 00:21:47,760
Speaker 1: team without input from anyone external to the company TCW

446
00:21:47,960 --> 00:21:51,280
Speaker 1: separate company not associated with timcast dot Com or their properties.

447
00:21:51,480 --> 00:21:54,080
Speaker 1: It exists solely for the production of the Culture War podcast.

448
00:21:54,359 --> 00:21:56,720
Speaker 1: That being said, we still do not know what is true,

449
00:21:56,760 --> 00:21:59,000
Speaker 1: as these are only allegations. And then he goes, Putin

450
00:21:59,080 --> 00:22:01,800
Speaker 1: is a scumbag Russia. Russia sucks donkey balls. The journalists

451
00:22:01,800 --> 00:22:03,679
Speaker 1: who wish to jump the gun create their own narrative,

452
00:22:03,720 --> 00:22:05,600
Speaker 1: rely about what is currently going on. You can eat

453
00:22:05,600 --> 00:22:09,480
Speaker 1: my Irish et cetera. So that's his response, basically really

454
00:22:09,480 --> 00:22:11,919
Speaker 1: trying to be like, no, I promise I wasn't taking

455
00:22:12,240 --> 00:22:15,160
Speaker 1: you know, this was all my own idea that existed

456
00:22:15,200 --> 00:22:19,320
Speaker 1: before this Russian influence operation, and trying to put some

457
00:22:19,359 --> 00:22:22,040
Speaker 1: distance between himself and Tenant media. I mean it's listen,

458
00:22:22,119 --> 00:22:24,240
Speaker 1: in a technical sense, yes, you are a victim. You

459
00:22:24,280 --> 00:22:26,119
Speaker 1: were also getting millions of dollars to do this, so

460
00:22:26,160 --> 00:22:29,640
Speaker 1: it's hard to like crime album.

461
00:22:28,760 --> 00:22:31,760
Speaker 2: About the whole I mean, you were bamboozled it's true,

462
00:22:31,800 --> 00:22:33,320
Speaker 2: but yeah, I mean, let's be real, there are a

463
00:22:33,359 --> 00:22:37,000
Speaker 2: lot of people who were bamboozled who also should have.

464
00:22:37,080 --> 00:22:39,240
Speaker 2: You know, whenever somebody gets conned, you're like, I feel

465
00:22:39,240 --> 00:22:41,040
Speaker 2: bad for you, but also it's like, really, you know,

466
00:22:41,080 --> 00:22:42,840
Speaker 2: you really thought that an Indian guy on the phone,

467
00:22:42,640 --> 00:22:44,560
Speaker 2: and you know that he was from Microsoft, you're supposed

468
00:22:44,560 --> 00:22:45,639
Speaker 2: give him fifty grand. Yeah, but.

469
00:22:47,320 --> 00:22:50,880
Speaker 3: You're not getting cont out of money making millions exactly.

470
00:22:50,920 --> 00:22:53,960
Speaker 2: That's my point is that it's like, Okay, yeah, technically yes,

471
00:22:54,040 --> 00:22:57,440
Speaker 2: but you know, let's be honest here. Benny also put

472
00:22:57,440 --> 00:22:59,159
Speaker 2: out a statement, let's put this up there, kind of

473
00:22:59,200 --> 00:23:03,080
Speaker 2: similar vibe. A statement on the leaked DOJ indictment, again

474
00:23:03,160 --> 00:23:05,560
Speaker 2: not leaked. A year ago, a media startup Pitch my

475
00:23:05,600 --> 00:23:08,880
Speaker 2: company to provide content as an independent contractor. Our lawyers

476
00:23:08,960 --> 00:23:11,840
Speaker 2: negotiated standard arms like deal, which was later terminated. We

477
00:23:11,880 --> 00:23:14,320
Speaker 2: are disturbed by the allegations in today's indictment, which may

478
00:23:14,359 --> 00:23:17,919
Speaker 2: clear myself and other influencers were victims in this alleged scheme.

479
00:23:17,960 --> 00:23:21,600
Speaker 2: My lawyers will handle anyone who states or suggests otherwise.

480
00:23:21,640 --> 00:23:23,640
Speaker 1: I have a Dave Urban statement too, which we don't

481
00:23:23,680 --> 00:23:25,399
Speaker 1: have an element for because it came out later, but

482
00:23:25,480 --> 00:23:28,240
Speaker 1: he says statement on the DOJ indictment, these allegations clearly

483
00:23:28,240 --> 00:23:30,960
Speaker 1: show I and other commentators were the victims of this scheme.

484
00:23:31,000 --> 00:23:33,680
Speaker 1: I knew absolutely nothing about any of this fraudulent activity.

485
00:23:33,720 --> 00:23:34,080
Speaker 3: Period.

486
00:23:34,440 --> 00:23:36,960
Speaker 1: People of the Internet was a silly show covering viral

487
00:23:37,040 --> 00:23:39,360
Speaker 1: videos which ended four months ago. The DJ has never

488
00:23:39,400 --> 00:23:41,440
Speaker 1: contacted me regarding this matter. I have no intention of

489
00:23:41,480 --> 00:23:45,400
Speaker 1: comment further. This screenshot from the indictment speaks for itself,

490
00:23:45,760 --> 00:23:48,920
Speaker 1: and he screenshots a part of the indictment that talks

491
00:23:48,960 --> 00:23:52,600
Speaker 1: about the fact that Lauren Chen and Liam Donovan, who

492
00:23:52,760 --> 00:23:57,120
Speaker 1: ran Tenant Media, that they work together to obscure the

493
00:23:57,119 --> 00:24:00,199
Speaker 1: source of the funding. So basically saying like, listen, they

494
00:24:00,240 --> 00:24:03,439
Speaker 1: tricked us, they knew they were lying, and you know,

495
00:24:03,480 --> 00:24:05,800
Speaker 1: it's really on them, not on us, seems to be

496
00:24:05,920 --> 00:24:09,440
Speaker 1: the implication of screenshotting that particular part of the indictments.

497
00:24:09,480 --> 00:24:11,520
Speaker 2: I mean, look, they did trick them, right and Lauren,

498
00:24:11,560 --> 00:24:15,119
Speaker 2: and I mean, honestly sorry, if this is true, your scum,

499
00:24:15,240 --> 00:24:18,680
Speaker 2: you really are, because you not only you know, knowingly

500
00:24:18,720 --> 00:24:22,440
Speaker 2: took money from a foreign government, you also put other

501
00:24:22,520 --> 00:24:24,840
Speaker 2: people in a position where now they're named in a

502
00:24:24,920 --> 00:24:28,360
Speaker 2: federal indictment. And look, I mean this is the other thing.

503
00:24:28,440 --> 00:24:30,320
Speaker 2: Do they have to give that money back? Like what

504
00:24:30,359 --> 00:24:32,960
Speaker 2: do the klawback things look like? From the Department of Justice.

505
00:24:32,960 --> 00:24:35,639
Speaker 2: This is literally foreign cash. Yeah, that has been watched.

506
00:24:35,640 --> 00:24:37,600
Speaker 2: I don't know what that asked. I asked a couple

507
00:24:37,640 --> 00:24:39,399
Speaker 2: of lawyers. They said, it actually depends on what the

508
00:24:39,440 --> 00:24:41,439
Speaker 2: government is going to do. If I'm I mean, if

509
00:24:41,480 --> 00:24:43,440
Speaker 2: you're the DJ you probably hate all these people anyway,

510
00:24:43,440 --> 00:24:45,560
Speaker 2: you're really going to give them a free ride. And

511
00:24:45,600 --> 00:24:47,560
Speaker 2: it's not like that money hasn't already been put in

512
00:24:47,560 --> 00:24:49,640
Speaker 2: the bank and probably paid to employees, Like you could

513
00:24:49,640 --> 00:24:52,280
Speaker 2: be setting yourself up for a very serious problem with

514
00:24:52,359 --> 00:24:54,800
Speaker 2: the US government. The other thing is too, with Lauren

515
00:24:54,880 --> 00:24:57,000
Speaker 2: Chen and all of them, if they haven't even been arrested,

516
00:24:57,119 --> 00:24:59,240
Speaker 2: then what are you did you roll up? Like did

517
00:24:59,280 --> 00:25:02,280
Speaker 2: you cooperate? Now, so now you're both you know, cooperating

518
00:25:02,280 --> 00:25:04,200
Speaker 2: with the government, and you were useful, not even a

519
00:25:04,280 --> 00:25:07,879
Speaker 2: useful idiot, you knowingly conspired with a foreign government. This

520
00:25:07,960 --> 00:25:10,560
Speaker 2: gets back to integrity. I mean, I remember at one

521
00:25:10,600 --> 00:25:12,800
Speaker 2: point I was approached I think it was Al Jazera,

522
00:25:13,359 --> 00:25:15,280
Speaker 2: and they were like, oh, there was some stupid thing

523
00:25:15,320 --> 00:25:17,200
Speaker 2: that they were trying to do, and I was just like, hey,

524
00:25:17,320 --> 00:25:19,800
Speaker 2: you know, no offense. You know, I'm sure this is fine,

525
00:25:19,840 --> 00:25:22,119
Speaker 2: but you guys take money from you from the Qatari government.

526
00:25:22,119 --> 00:25:24,159
Speaker 2: I'm like, I don't take money from foreign governments. That

527
00:25:24,240 --> 00:25:26,119
Speaker 2: kind of took offense at that. Actually they're like, that

528
00:25:26,400 --> 00:25:28,840
Speaker 2: suggests that we're not independent. Like it's not about that,

529
00:25:28,920 --> 00:25:31,439
Speaker 2: it's just it's a conflict of interest. I don't do that.

530
00:25:31,840 --> 00:25:33,560
Speaker 2: I wouldn't even take money from our own government. If

531
00:25:33,560 --> 00:25:35,760
Speaker 2: some national state department thing was like, we're weant going

532
00:25:35,760 --> 00:25:38,080
Speaker 2: to give you a fellowship, I'm like, yeah, that's weird. Yeah,

533
00:25:38,119 --> 00:25:39,760
Speaker 2: And you know that's what you kind of have to

534
00:25:39,800 --> 00:25:42,080
Speaker 2: do in this business is to bring it back to

535
00:25:42,119 --> 00:25:44,920
Speaker 2: the ads. We could retire several times over. We're willing

536
00:25:44,960 --> 00:25:47,520
Speaker 2: to read manscaped ads just not going to happen. And

537
00:25:48,440 --> 00:25:50,320
Speaker 2: does that make life more difficult? I mean, I guess

538
00:25:50,400 --> 00:25:52,600
Speaker 2: in a sense. But the point is that when you're

539
00:25:52,680 --> 00:25:54,840
Speaker 2: up against large forces who are going to try and

540
00:25:54,880 --> 00:25:58,200
Speaker 2: destroy you, then you should definitely have a lot more scruples.

541
00:25:58,240 --> 00:26:00,000
Speaker 3: I mean, for example, you have to be unimpeaceable.

542
00:26:00,160 --> 00:26:02,240
Speaker 2: Dave Rubin, you know, to look at some of these

543
00:26:02,280 --> 00:26:06,840
Speaker 2: tenant videos about Dave Rubin. It's getting you know, eight

544
00:26:06,960 --> 00:26:10,480
Speaker 2: thousand views of him being like why South Park is

545
00:26:10,560 --> 00:26:14,960
Speaker 2: real life? And I'm like, bro, like, seriously, you really

546
00:26:15,160 --> 00:26:17,920
Speaker 2: really believed you were gonna that this was making one

547
00:26:18,000 --> 00:26:20,840
Speaker 2: hundred thousand dollars and you know I should say this.

548
00:26:21,080 --> 00:26:24,000
Speaker 2: You know, Dave has happy to accuse people being pro

549
00:26:24,080 --> 00:26:28,200
Speaker 2: Hamas and all this other stuff, right, so it's like, bro,

550
00:26:28,480 --> 00:26:30,600
Speaker 2: what do you think happened? You know, who's paying for

551
00:26:30,640 --> 00:26:33,840
Speaker 2: that fancy little studio down in South Florida, And you know,

552
00:26:33,880 --> 00:26:36,520
Speaker 2: if some of this is all unfair, I'm just saying, like,

553
00:26:36,600 --> 00:26:38,640
Speaker 2: it's not like they have all this charity when they're

554
00:26:38,640 --> 00:26:42,159
Speaker 2: accusing other people, especially Dave. Now Benny, who I know

555
00:26:42,240 --> 00:26:44,159
Speaker 2: on a personal level, I really I believe that he

556
00:26:44,200 --> 00:26:46,480
Speaker 2: didn't know any of this. Tim you know, I don't

557
00:26:46,480 --> 00:26:49,720
Speaker 2: know him as well, but the same thing. The problem

558
00:26:49,840 --> 00:26:53,080
Speaker 2: is just that this the integrity is so important for

559
00:26:53,119 --> 00:26:56,560
Speaker 2: independent media, and now of course all the Russian pro

560
00:26:56,920 --> 00:26:59,400
Speaker 2: Ukraine people are pulling all of these clips of them

561
00:26:59,600 --> 00:27:02,880
Speaker 2: who are doubting, you know, this the narrative or whatever

562
00:27:02,920 --> 00:27:05,280
Speaker 2: in Ukraine and they're just saying, look, they were literally

563
00:27:05,280 --> 00:27:08,320
Speaker 2: on a Russian payroll. You have discredited anybody in the

564
00:27:08,359 --> 00:27:10,679
Speaker 2: independent space, and to that, I'm you know, that is

565
00:27:10,720 --> 00:27:13,520
Speaker 2: actually what pisses me off the most about this entire thing,

566
00:27:13,560 --> 00:27:16,480
Speaker 2: because again, for all of them, we all know what

567
00:27:16,520 --> 00:27:19,199
Speaker 2: the actual dollars and cents look like, right, we know

568
00:27:19,280 --> 00:27:21,280
Speaker 2: what the dollars and cents are supposed to look like,

569
00:27:21,480 --> 00:27:24,560
Speaker 2: and when something changes orders of magnitude away from them,

570
00:27:24,680 --> 00:27:27,359
Speaker 2: you got your bullshit detector should be very high. Now

571
00:27:27,359 --> 00:27:30,920
Speaker 2: if it's a Silicon Valley American investor with a page

572
00:27:30,960 --> 00:27:33,080
Speaker 2: and they're like, well, our plan is to start small

573
00:27:33,119 --> 00:27:35,800
Speaker 2: and go big maybe even though it's a little weird,

574
00:27:35,840 --> 00:27:39,080
Speaker 2: but yeah, it's a conceivable plan. But nothing about this

575
00:27:39,520 --> 00:27:42,000
Speaker 2: makes any sense whatsoever at all.

576
00:27:42,200 --> 00:27:46,119
Speaker 1: When that's the problem, a fundamentally uneconomic proposition, you have

577
00:27:46,200 --> 00:27:46,879
Speaker 1: to ask.

578
00:27:46,920 --> 00:27:49,040
Speaker 2: Why, yes, yes, why yes?

579
00:27:49,240 --> 00:27:52,920
Speaker 1: Is this like what I am obviously being a tool

580
00:27:53,080 --> 00:27:54,120
Speaker 1: for them for something?

581
00:27:54,720 --> 00:27:56,160
Speaker 3: What is it right?

582
00:27:56,280 --> 00:27:59,399
Speaker 1: And you know, maybe if it's an ideological project.

583
00:27:59,040 --> 00:28:01,080
Speaker 3: You agree with, you can live with that.

584
00:28:01,560 --> 00:28:05,440
Speaker 1: But yeah, to just you know, be placated by this

585
00:28:05,680 --> 00:28:09,080
Speaker 1: phony resume and not ask any further questions. I mean,

586
00:28:09,119 --> 00:28:11,639
Speaker 1: it's it's embarrassing, like there's no other word or about

587
00:28:11,720 --> 00:28:15,879
Speaker 1: around it, And Not only have you provided ammunition for

588
00:28:16,080 --> 00:28:19,119
Speaker 1: you know, people come after any independent media creators, but

589
00:28:19,240 --> 00:28:21,960
Speaker 1: you've really discredited your entire body of work because I

590
00:28:22,000 --> 00:28:23,280
Speaker 1: mean people are sharing all.

591
00:28:23,240 --> 00:28:25,639
Speaker 3: The tweet menu tweets of Tempoole saying.

592
00:28:25,359 --> 00:28:27,480
Speaker 1: Like it's civil war and like, oh gee, I wonder

593
00:28:27,480 --> 00:28:31,560
Speaker 1: why Russia was interested in having like this particular commentary sponsored.

594
00:28:31,920 --> 00:28:35,000
Speaker 3: So, yes, this was a relatively.

595
00:28:34,600 --> 00:28:37,280
Speaker 1: You know, short lived It wasn't a long term media

596
00:28:37,359 --> 00:28:39,920
Speaker 1: project or partnership or whatever. They'd go to great lengths

597
00:28:39,920 --> 00:28:42,760
Speaker 1: in their statements to make it clear that this was

598
00:28:42,920 --> 00:28:43,960
Speaker 1: a short term project.

599
00:28:43,960 --> 00:28:45,280
Speaker 3: They've severed, tized, whatever.

600
00:28:45,800 --> 00:28:49,240
Speaker 1: But if you think that people are going to to

601
00:28:49,280 --> 00:28:52,840
Speaker 1: segregate off this one narrow slice of your commentary from

602
00:28:52,880 --> 00:28:55,760
Speaker 1: the entire rest of your body of work, like I'm sorry.

603
00:28:55,480 --> 00:28:56,840
Speaker 3: They're just they're not going to do that.

604
00:28:56,920 --> 00:28:57,120
Speaker 2: Yeah.

605
00:28:57,160 --> 00:28:58,040
Speaker 4: No, you've called.

606
00:28:58,080 --> 00:29:00,800
Speaker 1: Everything that you have ever said into Whether that's fair

607
00:29:00,880 --> 00:29:01,760
Speaker 1: or not is a different story.

608
00:29:01,760 --> 00:29:03,640
Speaker 2: I don't think it's fair. But that's the issue is that,

609
00:29:03,720 --> 00:29:05,920
Speaker 2: you know, when you're up against the type of people

610
00:29:06,360 --> 00:29:09,040
Speaker 2: like especially you, and I know on Israel's that is

611
00:29:09,080 --> 00:29:11,959
Speaker 2: the red line, right and on that one this they

612
00:29:11,960 --> 00:29:15,400
Speaker 2: are having the big, greatest field day of their lives.

613
00:29:15,480 --> 00:29:18,120
Speaker 2: I see them all with the witch hunt already began.

614
00:29:18,240 --> 00:29:22,280
Speaker 2: See her anti tem Semitism was sponsored by the Russians,

615
00:29:22,320 --> 00:29:25,640
Speaker 2: you know, see this was clearly an effort to discredit

616
00:29:25,920 --> 00:29:29,040
Speaker 2: the glorious nation of Ukraine. And it's like, no, these

617
00:29:29,080 --> 00:29:32,240
Speaker 2: are legitimate points of view. And I mean, also though,

618
00:29:32,400 --> 00:29:34,560
Speaker 2: it is kind of interesting because it does show you

619
00:29:34,920 --> 00:29:38,600
Speaker 2: where they're true. Like Russian agenda. People always say it's

620
00:29:38,720 --> 00:29:41,480
Speaker 2: pro Trump. Lauren Chen was actively trying to get people

621
00:29:41,600 --> 00:29:43,840
Speaker 2: not to vote for Trump, like she's a chaos agent.

622
00:29:44,120 --> 00:29:45,960
Speaker 2: She was like, she's one of these like repeal the

623
00:29:46,080 --> 00:29:49,320
Speaker 2: nineteenth people like, don't give women the right to vote?

624
00:29:51,120 --> 00:29:55,680
Speaker 2: With her, okay, I know of her more I was.

625
00:29:55,520 --> 00:29:57,440
Speaker 2: I was catching up and it's funny there are actually

626
00:29:57,440 --> 00:30:01,520
Speaker 2: people out there this conservative commentation. Ashley Saint Clair, who

627
00:30:01,560 --> 00:30:04,160
Speaker 2: was on a podcast several months ago, asked about Lauren

628
00:30:04,240 --> 00:30:05,680
Speaker 2: Chen and she was like, I think she's getting paid

629
00:30:05,680 --> 00:30:08,520
Speaker 2: by some foreign influences, which is astounding. Yeah, she was like,

630
00:30:08,560 --> 00:30:12,480
Speaker 2: I really believe that. It's pretty amazing, So credit to her.

631
00:30:12,720 --> 00:30:14,320
Speaker 2: I wanted to give her a shout out because that's

632
00:30:14,400 --> 00:30:16,680
Speaker 2: kind of amazing, and she was like, no, a lot

633
00:30:16,720 --> 00:30:20,000
Speaker 2: of these like pro life people who are online trying

634
00:30:20,040 --> 00:30:22,400
Speaker 2: to rally the vote against Trump. She's like, I think

635
00:30:22,400 --> 00:30:25,360
Speaker 2: they're foreign out like foreign ops. It turned out to

636
00:30:25,360 --> 00:30:28,120
Speaker 2: be right, and she specifically was talking about Lauren Chen.

637
00:30:28,440 --> 00:30:30,719
Speaker 2: So yeah, that's another couple of questions about maybe some

638
00:30:30,760 --> 00:30:33,160
Speaker 2: of these other pro life activists who are doing that.

639
00:30:33,240 --> 00:30:36,080
Speaker 2: But you know, I'll just wrap on this. There are

640
00:30:36,080 --> 00:30:37,680
Speaker 2: a lot of people out there getting paid a lot

641
00:30:37,680 --> 00:30:40,240
Speaker 2: of money. Russia was certainly one of them, but Israel

642
00:30:40,360 --> 00:30:43,000
Speaker 2: is also certainly one of them, and Ukraine and Katar

643
00:30:43,640 --> 00:30:45,959
Speaker 2: and so you know, look, if the DJ wants to

644
00:30:45,960 --> 00:30:48,600
Speaker 2: indict all those people, I'm for it. I really am.

645
00:30:48,840 --> 00:30:50,520
Speaker 2: Get all that money out of there. We'll be sitting

646
00:30:50,520 --> 00:30:53,640
Speaker 2: here clean as a whistle. Yeah, And that's you know,

647
00:30:53,680 --> 00:30:56,080
Speaker 2: that would be satisfying. But I also know that this

648
00:30:56,320 --> 00:30:58,560
Speaker 2: selective in terms of the outrage, in terms of what

649
00:30:58,680 --> 00:31:01,680
Speaker 2: people are gonna be looking, in terms of the discrediting

650
00:31:01,880 --> 00:31:04,400
Speaker 2: for really for all time, you know that will follow

651
00:31:04,600 --> 00:31:07,000
Speaker 2: from this, and I think that's actually a real tragedy

652
00:31:07,040 --> 00:31:09,120
Speaker 2: for the independent media. Spase. Why you got to know

653
00:31:09,160 --> 00:31:09,440
Speaker 2: a lot of.

654
00:31:09,440 --> 00:31:11,360
Speaker 3: These people, why you got to give their resistance lives

655
00:31:11,360 --> 00:31:13,360
Speaker 3: so much? Oh guy, Yes, why why.

656
00:31:13,200 --> 00:31:15,400
Speaker 2: Are they are having you know, they're having such a

657
00:31:15,400 --> 00:31:19,320
Speaker 2: field day. They really are so anyway, it's sad. It's sad.

658
00:31:22,120 --> 00:31:24,200
Speaker 2: Let's move on to the next part. This is about Russia.

659
00:31:24,640 --> 00:31:28,280
Speaker 2: This was actually the first Russia indictment to come down,

660
00:31:28,440 --> 00:31:33,800
Speaker 2: and it was definitely kind of amusing. The DOJ is

661
00:31:33,960 --> 00:31:38,520
Speaker 2: alleging a vast Russian social media campaign to influence the

662
00:31:38,640 --> 00:31:41,800
Speaker 2: US election. Here is Meryk Garland at his press conference.

663
00:31:41,920 --> 00:31:42,680
Speaker 2: Let's take a listen.

664
00:31:42,960 --> 00:31:46,600
Speaker 5: Today, our colleagues at the State and Treasury Departments are

665
00:31:46,640 --> 00:31:53,400
Speaker 5: announcing parallel actions in both of these matters. Unfortunately, we

666
00:31:53,520 --> 00:31:56,400
Speaker 5: know that Russia is not the only foreign power seeking

667
00:31:56,440 --> 00:32:00,000
Speaker 5: to interfere in our elections. As a US intelligence community

668
00:32:00,200 --> 00:32:05,320
Speaker 5: noted two weeks ago, we have observed increasingly aggressive Iranian

669
00:32:05,360 --> 00:32:10,920
Speaker 5: activity during this election cycle. That includes recently reported activities

670
00:32:10,960 --> 00:32:14,880
Speaker 5: by Iran to compromise former President Trump's campaign and to

671
00:32:14,920 --> 00:32:18,960
Speaker 5: avoid an election outcome that it regards as against its interests.

672
00:32:19,640 --> 00:32:23,800
Speaker 5: Those recently reported Iranian activities also include efforts to obtain

673
00:32:23,920 --> 00:32:28,600
Speaker 5: access to individuals who themselves have access to the presidential

674
00:32:28,640 --> 00:32:29,960
Speaker 5: campaigns of.

675
00:32:30,000 --> 00:32:31,320
Speaker 6: Both political parties.

676
00:32:32,360 --> 00:32:36,560
Speaker 5: The Justice Department's message is clear, we have no tolerance

677
00:32:37,120 --> 00:32:41,760
Speaker 5: for attempts by authoritarian regimes to exploit our demogra our

678
00:32:41,800 --> 00:32:48,560
Speaker 5: democratic system of government. We will be relentlessly aggressive encountering

679
00:32:48,720 --> 00:32:53,320
Speaker 5: and disrupting attempts by Russia and Iran, as well as

680
00:32:53,400 --> 00:32:57,880
Speaker 5: China or any other foreign malign actor to interfere in

681
00:32:57,920 --> 00:32:59,240
Speaker 5: our elections and.

682
00:32:59,320 --> 00:33:00,760
Speaker 6: Undermine our demopers.

683
00:33:01,280 --> 00:33:03,680
Speaker 2: Okay, so that was part of the big press conference. Next,

684
00:33:03,720 --> 00:33:05,440
Speaker 2: let's put this one up there on the screen. They

685
00:33:05,440 --> 00:33:08,680
Speaker 2: have announced a plan to counter Russian influence ahead of

686
00:33:08,760 --> 00:33:12,440
Speaker 2: the twenty twenty four election. I went through, and while

687
00:33:12,480 --> 00:33:15,400
Speaker 2: this RT indictment was a separate one, it actually came

688
00:33:15,400 --> 00:33:18,000
Speaker 2: out much later than the original one. The original one

689
00:33:18,040 --> 00:33:21,520
Speaker 2: honestly is a complete joke, because if you go through

690
00:33:21,640 --> 00:33:24,760
Speaker 2: and actually start to read what all of this is,

691
00:33:25,040 --> 00:33:29,080
Speaker 2: they are targeting both individuals and others who basically like

692
00:33:29,160 --> 00:33:33,840
Speaker 2: wrote op eds or appeared on RT Russia today as

693
00:33:34,000 --> 00:33:38,440
Speaker 2: some sort of large encompassing Russian social media op on

694
00:33:38,560 --> 00:33:42,520
Speaker 2: top of highlighting some of the so called Russian disinformation

695
00:33:42,920 --> 00:33:46,120
Speaker 2: on social media. Somehow crystal, they have actually gotten worse.

696
00:33:46,240 --> 00:33:49,080
Speaker 2: In my opinion from twenty sixteen, if you'll remember all

697
00:33:49,080 --> 00:33:51,720
Speaker 2: those idiot Bernie bro memes and some of the pro

698
00:33:51,760 --> 00:33:53,960
Speaker 2: Trump stuff. I will show you some of that in

699
00:33:54,000 --> 00:33:55,960
Speaker 2: a little bit. But you know, one case I've really

700
00:33:55,960 --> 00:33:57,440
Speaker 2: had my eye on, and this is actually part of

701
00:33:57,440 --> 00:34:01,120
Speaker 2: this investigation. Let's put this up there, is that of

702
00:34:01,200 --> 00:34:06,480
Speaker 2: the DOJ who is serving subpoenas and search warrants on

703
00:34:07,240 --> 00:34:10,760
Speaker 2: certain individuals here in the United States who they allege

704
00:34:11,080 --> 00:34:14,880
Speaker 2: our part of this vast Russian you know, state media campaign.

705
00:34:15,000 --> 00:34:17,360
Speaker 2: One of them was Scott Ritter. Now, Scott is one

706
00:34:17,400 --> 00:34:19,560
Speaker 2: of those people many people watch the show may even know.

707
00:34:20,080 --> 00:34:22,000
Speaker 2: I would say it's probably fair to say he's like

708
00:34:22,160 --> 00:34:24,600
Speaker 2: very anti establishment, has a very different view, i think

709
00:34:24,600 --> 00:34:27,360
Speaker 2: in the most charitable sense of the Ukraine conflict, and

710
00:34:27,440 --> 00:34:31,640
Speaker 2: has been pretty vociferous about US support to Ukraine. He's

711
00:34:31,680 --> 00:34:35,560
Speaker 2: been accused of being quote unquote pro Russian, but his

712
00:34:35,640 --> 00:34:39,040
Speaker 2: house was rated, as they put in here, the FBI

713
00:34:39,880 --> 00:34:42,759
Speaker 2: went after him, and a lot of it seems to

714
00:34:42,800 --> 00:34:45,560
Speaker 2: stem from the fact that he was very open about

715
00:34:45,600 --> 00:34:48,719
Speaker 2: going on RT and or writing op eds you know,

716
00:34:48,800 --> 00:34:51,480
Speaker 2: for them. Now, I think that's very different doing something

717
00:34:51,480 --> 00:34:54,359
Speaker 2: out in the open and being very open with your opinions,

718
00:34:54,560 --> 00:34:57,160
Speaker 2: as opposed to what Lauren Chen and Liam Donovan were doing.

719
00:34:57,320 --> 00:35:01,239
Speaker 2: Which is taking money knowingly from RUSSI and then funneling

720
00:35:01,280 --> 00:35:04,719
Speaker 2: that to other people and basically deceiving them into some

721
00:35:04,760 --> 00:35:07,000
Speaker 2: sort of large scheme. So I haven't want to keep

722
00:35:07,000 --> 00:35:08,560
Speaker 2: my eye on this. I'm not saying I'm pro Scott

723
00:35:08,600 --> 00:35:12,360
Speaker 2: Ritter or anything, but I mean the US citizen and

724
00:35:12,360 --> 00:35:14,600
Speaker 2: he has a legitimate opinion. You may not agree with

725
00:35:14,640 --> 00:35:16,440
Speaker 2: that opinion. Why are they Why are they going through

726
00:35:16,440 --> 00:35:17,120
Speaker 2: this man's house.

727
00:35:17,200 --> 00:35:20,120
Speaker 1: Yeah, and he hasn't been indicted yet, just to be clear,

728
00:35:20,239 --> 00:35:22,280
Speaker 1: But yeah, this is where you get into like, listen,

729
00:35:22,320 --> 00:35:25,399
Speaker 1: you're allowed to be pro pudin Like actually, like this

730
00:35:25,480 --> 00:35:27,719
Speaker 1: is you know, this America. We're supposed to have free

731
00:35:27,840 --> 00:35:30,360
Speaker 1: speech rights. And even if you know your speech is

732
00:35:30,360 --> 00:35:34,680
Speaker 1: supporting official bad guy regime of the US government, like

733
00:35:34,800 --> 00:35:37,399
Speaker 1: you're allowed to do that. So you know, that's where

734
00:35:37,400 --> 00:35:38,920
Speaker 1: it starts to get. The other thing with all of

735
00:35:38,960 --> 00:35:41,919
Speaker 1: this saga is you know you're talking about the one

736
00:35:41,920 --> 00:35:45,799
Speaker 1: of the things that they're they're targeting is this this

737
00:35:46,040 --> 00:35:49,680
Speaker 1: doppel ganger campaign they're calling it of you know, this

738
00:35:49,800 --> 00:35:52,880
Speaker 1: is the kind of the creating fake a network that

739
00:35:53,000 --> 00:35:55,800
Speaker 1: use sites they say that impersonated legitimate news entities and

740
00:35:55,840 --> 00:35:59,480
Speaker 1: fake social media profiles impersonating Americans. This goes back to

741
00:35:59,560 --> 00:36:02,880
Speaker 1: like some of the core like twenty sixteen allegations of

742
00:36:02,960 --> 00:36:05,960
Speaker 1: the influence campaign that was being run there. And you know,

743
00:36:06,160 --> 00:36:08,000
Speaker 1: I'm not saying any of this is good by the

744
00:36:08,040 --> 00:36:11,239
Speaker 1: way we engage in these types of activities as well as.

745
00:36:11,000 --> 00:36:12,279
Speaker 3: Does and we'll get to this a minute.

746
00:36:12,400 --> 00:36:14,279
Speaker 1: Israel, and no one seems that upset about that, and

747
00:36:14,320 --> 00:36:16,880
Speaker 1: there's no indictments coming down about that, but we'll pause

748
00:36:16,920 --> 00:36:17,560
Speaker 1: that for a moment.

749
00:36:18,160 --> 00:36:19,719
Speaker 3: We should also be clear about, like.

750
00:36:21,280 --> 00:36:29,080
Speaker 1: We have wildly expensive, elaborate, sophisticated presidential campaigns. Okay, the

751
00:36:29,600 --> 00:36:32,840
Speaker 1: means and the you know, fake news, the things that

752
00:36:32,880 --> 00:36:35,560
Speaker 1: they're putting out, like it shouldn't freak you out that

753
00:36:35,680 --> 00:36:40,360
Speaker 1: Russia is running our democracy. Okay, it's even these videos

754
00:36:40,360 --> 00:36:44,360
Speaker 1: they got these top commentators on their payroll unknowingly again

755
00:36:44,520 --> 00:36:47,839
Speaker 1: Tim Poole and Dave Ruma. These guys get millions of views, right,

756
00:36:47,880 --> 00:36:51,839
Speaker 1: They're very popular and in plenty of circles, and even

757
00:36:51,880 --> 00:36:53,719
Speaker 1: their content you were saying, it is getting like eight

758
00:36:53,719 --> 00:36:56,959
Speaker 1: thousand views on these videos, like that's nothing, that's not thing.

759
00:36:57,560 --> 00:37:00,440
Speaker 1: So even as you know, in that instance of the allegations,

760
00:37:00,440 --> 00:37:03,280
Speaker 1: are true, Like, there should be indictments there, you're laundering

761
00:37:03,280 --> 00:37:07,040
Speaker 1: money ten million dollars, Craine, fake businessmen, whatever. But let's

762
00:37:07,040 --> 00:37:11,120
Speaker 1: also be really clear eyed about how much impact any

763
00:37:11,120 --> 00:37:15,120
Speaker 1: of this is actually having on our politics. Absolutely, and

764
00:37:15,480 --> 00:37:18,680
Speaker 1: there is going back to twenty sixteen, when you had

765
00:37:18,680 --> 00:37:22,440
Speaker 1: the whole frenzy around this whatever, there was never any

766
00:37:22,600 --> 00:37:26,880
Speaker 1: evidence that any of it meaningfully impacted how people voted

767
00:37:27,000 --> 00:37:30,319
Speaker 1: and what the actual outcome of that election ultimately was.

768
00:37:30,560 --> 00:37:33,680
Speaker 2: Yeah, and for example, I went through and actually read

769
00:37:33,680 --> 00:37:35,719
Speaker 2: this indictment whenever it was coming out. Let's put this

770
00:37:35,760 --> 00:37:37,840
Speaker 2: on the screen. I want people to see what was

771
00:37:37,880 --> 00:37:41,440
Speaker 2: so spooky and scary. Here is one of the massive

772
00:37:41,520 --> 00:37:45,560
Speaker 2: Russian influence operations. It was a Facebook page called CNN

773
00:37:45,640 --> 00:37:49,600
Speaker 2: California in blue, not even in the CNN logo. It

774
00:37:49,640 --> 00:37:53,160
Speaker 2: had two likes and seven followers. The description was from

775
00:37:53,200 --> 00:37:57,200
Speaker 2: sunny Beaches to busting Techhubs. We explore the lifestyle, news

776
00:37:57,239 --> 00:38:03,640
Speaker 2: and development Californian so drammatically in wrong logo and weird banner.

777
00:38:03,880 --> 00:38:06,640
Speaker 2: The next seven followers, Yeah, with seven followers. Next is

778
00:38:06,719 --> 00:38:11,000
Speaker 2: quote BBC California. Okay, like why should we care? Exactly?

779
00:38:11,239 --> 00:38:14,240
Speaker 2: These were obviously a complete joke. And that's the point

780
00:38:14,400 --> 00:38:17,759
Speaker 2: is that they're very obvious. Throughout all of these you

781
00:38:17,800 --> 00:38:21,399
Speaker 2: had grammatical errors, you had social media pages with very

782
00:38:21,440 --> 00:38:24,960
Speaker 2: few followers into accounts, and it actually reminds me of

783
00:38:25,239 --> 00:38:27,120
Speaker 2: a lot of what came through the Twitter files where

784
00:38:27,200 --> 00:38:30,760
Speaker 2: you would watch the FBI get up in arms about

785
00:38:30,800 --> 00:38:34,720
Speaker 2: some account that had like twelve followers that said, hey, everybody,

786
00:38:34,760 --> 00:38:38,760
Speaker 2: the elections on Wednesday. And there's an FBI agent sitting

787
00:38:38,760 --> 00:38:41,640
Speaker 2: in northern Virginia getting paid probably one hundred thousand dollars

788
00:38:41,640 --> 00:38:45,800
Speaker 2: a year plus benefits scrolling through and searching Twitter, spending

789
00:38:45,920 --> 00:38:49,719
Speaker 2: our taxpayer dollars time interfacing with social media company to

790
00:38:49,719 --> 00:38:51,920
Speaker 2: try and get the stuff taken down. That's what all

791
00:38:51,960 --> 00:38:54,200
Speaker 2: of this read through. And I went through, guys, this

792
00:38:54,320 --> 00:38:57,439
Speaker 2: was a hundreds of pages indictment and they point out

793
00:38:57,560 --> 00:39:00,279
Speaker 2: these fake stories and they point out their like the

794
00:39:00,360 --> 00:39:03,359
Speaker 2: Russian government created dummy news websites, and you'll look at

795
00:39:03,400 --> 00:39:07,240
Speaker 2: it and it'll be like Washingtonpost dot KP or something. Sorry,

796
00:39:07,360 --> 00:39:09,799
Speaker 2: who's going to that? Like for real? Like do you

797
00:39:09,840 --> 00:39:13,600
Speaker 2: really Google? And then go to page twelve to click

798
00:39:13,640 --> 00:39:17,520
Speaker 2: on Washingtonpost dot KP? Are you that stupid? And if

799
00:39:17,520 --> 00:39:20,160
Speaker 2: you are like, you probably are gonna fall for a

800
00:39:20,239 --> 00:39:21,360
Speaker 2: ten million more stuff.

801
00:39:21,440 --> 00:39:23,520
Speaker 1: Yeah, well that's what I was gonna say, is I

802
00:39:23,880 --> 00:39:26,319
Speaker 1: mean out of all of us though, especially if you

803
00:39:26,360 --> 00:39:28,800
Speaker 1: are on Twitter, like you just need to not believe

804
00:39:28,880 --> 00:39:32,560
Speaker 1: anything that's on there anymore because so much of it

805
00:39:32,640 --> 00:39:35,560
Speaker 1: is it's not even this foreign influence what some of

806
00:39:35,600 --> 00:39:38,440
Speaker 1: it is that. Yeah, but people just make shit up now.

807
00:39:38,560 --> 00:39:40,800
Speaker 1: I mean it's just I know it's always been the case,

808
00:39:40,840 --> 00:39:43,680
Speaker 1: but I think it is worse than ever before under

809
00:39:43,719 --> 00:39:46,879
Speaker 1: the new Elon model, where anyone can get a blue

810
00:39:46,960 --> 00:39:49,440
Speaker 1: check and then they use that as some sort of

811
00:39:49,440 --> 00:39:52,919
Speaker 1: credibility and they'll just make stuff up. Their sources say

812
00:39:52,960 --> 00:39:55,440
Speaker 1: Tim Wallas is about to drop out, their sources say

813
00:39:55,520 --> 00:39:58,040
Speaker 1: like Joe Biden's actually dead, and this is a body

814
00:39:58,120 --> 00:40:00,160
Speaker 1: like they will make stuff up.

815
00:40:00,520 --> 00:40:02,480
Speaker 3: So please, I implore you do.

816
00:40:02,520 --> 00:40:06,720
Speaker 1: Not believe this, you know, really really double check anything

817
00:40:06,760 --> 00:40:10,080
Speaker 1: that you are seeing spreading online because the problem has

818
00:40:10,120 --> 00:40:12,839
Speaker 1: never been worse than it is right now, last piece

819
00:40:12,840 --> 00:40:14,360
Speaker 1: of this we reference a couple of times put D

820
00:40:14,400 --> 00:40:17,840
Speaker 1: six up on the screen. We know that Israel organized

821
00:40:17,880 --> 00:40:21,840
Speaker 1: and paid for an influenced campaign that targeted lawmakers directly

822
00:40:21,960 --> 00:40:26,240
Speaker 1: and especially black lawmakers and would pose as like black

823
00:40:26,239 --> 00:40:31,640
Speaker 1: constituents trying to push the Israel agenda. And you know,

824
00:40:31,800 --> 00:40:34,480
Speaker 1: I'll hold my I won't hold my breath on the

825
00:40:34,640 --> 00:40:37,440
Speaker 1: indictments forthcoming for that one, which just show you like

826
00:40:37,680 --> 00:40:39,000
Speaker 1: it's very selectively applied.

827
00:40:39,080 --> 00:40:41,400
Speaker 3: Of course, bottom line is very selectively applied.

828
00:40:41,440 --> 00:40:44,680
Speaker 2: Here is that there's so much filthy stuff out there

829
00:40:44,719 --> 00:40:47,239
Speaker 2: and people who are trying to buy your attention. I mean,

830
00:40:47,320 --> 00:40:49,919
Speaker 2: B five, you know I put this in. I put

831
00:40:49,920 --> 00:40:52,920
Speaker 2: this in on purpose. Put B five please on the

832
00:40:52,960 --> 00:40:55,719
Speaker 2: screen because as you see, they are also at the

833
00:40:55,719 --> 00:40:59,359
Speaker 2: same time staying quote. Iran emerges as a top disinformation

834
00:40:59,400 --> 00:41:02,759
Speaker 2: threat in you presidential race, and without fail. You know,

835
00:41:02,760 --> 00:41:06,200
Speaker 2: with these conservatives, they're so laughable. For years they cry

836
00:41:06,239 --> 00:41:08,720
Speaker 2: about Russia Gate and I mean Rushigate was a scam.

837
00:41:08,960 --> 00:41:12,719
Speaker 2: But then the moment that there's some BSTA being like

838
00:41:12,800 --> 00:41:15,759
Speaker 2: Iran's funding the protest, They're like the entire protest when

839
00:41:15,880 --> 00:41:18,360
Speaker 2: was being funded by Iran? I'm like, do you hear yourselves?

840
00:41:18,560 --> 00:41:21,400
Speaker 2: Do you hear yourself? Did we not just go through this?

841
00:41:21,800 --> 00:41:24,759
Speaker 2: Are some of those people getting paid Byron? Maybe? You know,

842
00:41:25,480 --> 00:41:27,359
Speaker 2: I need to see a lot of evidence. I mean,

843
00:41:27,360 --> 00:41:29,160
Speaker 2: that's part of the thing too, relating back to our

844
00:41:29,400 --> 00:41:31,920
Speaker 2: tenant media discussion, the evidence is pretty unrefutable. You got

845
00:41:31,920 --> 00:41:34,560
Speaker 2: wire transfers, you got private communications, you got all this

846
00:41:34,600 --> 00:41:36,640
Speaker 2: other stuff. Now again, I'm willing to hear them out,

847
00:41:36,680 --> 00:41:39,480
Speaker 2: like if they really had some alternative explanation, that be fine,

848
00:41:39,520 --> 00:41:41,759
Speaker 2: But we got to wait and see. This is the

849
00:41:41,800 --> 00:41:44,279
Speaker 2: allegation of the US government here here as well. Though

850
00:41:44,520 --> 00:41:48,520
Speaker 2: you can obviously watch Iran, Israel, Russia, all these other

851
00:41:48,560 --> 00:41:51,720
Speaker 2: people have all these influence operations that are currently happening

852
00:41:51,760 --> 00:41:54,880
Speaker 2: here in America, but only Russia is called out, and

853
00:41:54,920 --> 00:41:57,200
Speaker 2: they were whipping it into hysteria. And that's another issue,

854
00:41:57,239 --> 00:42:00,000
Speaker 2: is that the Russia Gate people are having the greatest

855
00:42:00,080 --> 00:42:02,640
Speaker 2: day of their lives because you've got commentators who they

856
00:42:02,680 --> 00:42:07,160
Speaker 2: despise who are revealed have been secret cutouts for Russian payments.

857
00:42:07,520 --> 00:42:10,239
Speaker 2: On top of this, like oh my god, everything we

858
00:42:10,280 --> 00:42:12,680
Speaker 2: see in social media already, you know, I watch these

859
00:42:12,719 --> 00:42:15,920
Speaker 2: CNN freaks like Ashah, Ragan, Napa or whatever. If we

860
00:42:16,040 --> 00:42:20,680
Speaker 2: worked at CNN, be like coincidentally, the Russian playbook exactly

861
00:42:20,719 --> 00:42:23,640
Speaker 2: matches the Trump vance agenda. And you're like, okay, like

862
00:42:23,719 --> 00:42:25,800
Speaker 2: here we go again again, right here we go again,

863
00:42:25,880 --> 00:42:28,640
Speaker 2: and this is this is everything they've ever wanted. CNN

864
00:42:28,719 --> 00:42:30,319
Speaker 2: is having a field day. By the way, who do

865
00:42:30,360 --> 00:42:32,880
Speaker 2: you think broke the news that this was happening, CNN's

866
00:42:32,920 --> 00:42:35,239
Speaker 2: Jim Acosta. It just tells you everything you need to know.

867
00:42:35,360 --> 00:42:37,640
Speaker 2: Like it is obvious that they want to whip this

868
00:42:37,719 --> 00:42:40,960
Speaker 2: all up again. The Democrats, especially the elite ones, and

869
00:42:41,080 --> 00:42:43,839
Speaker 2: a lot of the commentators are loving this. We'll see

870
00:42:43,840 --> 00:42:46,680
Speaker 2: if the Kamala campaign picks up on it. Wouldn't put

871
00:42:46,719 --> 00:42:48,480
Speaker 2: it past them. It would be smart not to do it.

872
00:42:48,719 --> 00:42:52,600
Speaker 2: But in general, what we can really learn, you know,

873
00:42:52,680 --> 00:42:55,040
Speaker 2: from this indictment is that, you know, look, you think

874
00:42:55,080 --> 00:42:57,440
Speaker 2: we're not up to very similar things in many other

875
00:42:57,480 --> 00:43:00,200
Speaker 2: foreign countries. Hopefully we're doing a much better job. And

876
00:43:00,360 --> 00:43:02,960
Speaker 2: CNN California, yeah, we probably aren't.

877
00:43:03,760 --> 00:43:05,719
Speaker 1: Just a last thing on the Israel point that I

878
00:43:05,760 --> 00:43:09,080
Speaker 1: just I wanted to point out, it's what they did

879
00:43:09,200 --> 00:43:12,680
Speaker 1: are confirmed to have done according to multiple reports, including

880
00:43:12,719 --> 00:43:15,000
Speaker 1: in Israeli news outlets, and again this came directly from

881
00:43:15,000 --> 00:43:16,000
Speaker 1: the Israeli government.

882
00:43:16,400 --> 00:43:18,879
Speaker 3: Is so similar to this whole doppelganger thing.

883
00:43:19,200 --> 00:43:24,520
Speaker 1: They created fake news website, they invented fake personalities interacting

884
00:43:24,560 --> 00:43:28,560
Speaker 1: with lawmakers. They got caught because somebody who was you know,

885
00:43:28,680 --> 00:43:31,799
Speaker 1: involved with this didn't change their profile pick they kept

886
00:43:31,840 --> 00:43:34,000
Speaker 1: it as like, you know, some random white dude and

887
00:43:34,040 --> 00:43:36,800
Speaker 1: then they were posting like as a middle aged black

888
00:43:36,840 --> 00:43:40,080
Speaker 1: woman blah blah blah. But that it's exactly the same

889
00:43:40,120 --> 00:43:42,520
Speaker 1: as like the you know, the doppelganger thing that they're

890
00:43:42,600 --> 00:43:47,239
Speaker 1: alleging with the Russians. So in any case, uh, I

891
00:43:47,239 --> 00:43:48,080
Speaker 1: guess Russia Gate.

892
00:43:48,280 --> 00:43:49,120
Speaker 3: Here we go again.

893
00:43:49,239 --> 00:43:51,480
Speaker 2: Yes, here we go, we go again.

894
00:43:51,640 --> 00:43:55,400
Speaker 1: But please, guys, if you're if whoever's out there listening, yeah,

895
00:43:55,640 --> 00:43:59,240
Speaker 1: some random person who you can't find online is offering

896
00:43:59,239 --> 00:44:02,239
Speaker 1: you millions of to produce a handful of videos.

897
00:44:02,320 --> 00:44:06,000
Speaker 3: Like maybe maybe think a little bit about that one.

898
00:44:06,080 --> 00:44:08,560
Speaker 2: Maybe I get it, you know, cyber truck. It seems cool.

899
00:44:08,680 --> 00:44:11,719
Speaker 3: I am plenty of money anyway, Like there are so rich.

900
00:44:11,800 --> 00:44:13,400
Speaker 2: That is what I was going to get to. At

901
00:44:13,440 --> 00:44:15,359
Speaker 2: the same time, my guys, I know how much you're

902
00:44:15,360 --> 00:44:17,640
Speaker 2: probably make it, and it's like it's enough. You know,

903
00:44:17,680 --> 00:44:20,520
Speaker 2: at what point, good, You're very good. You don't need

904
00:44:20,560 --> 00:44:23,200
Speaker 2: to take sketchy deals. You can make plenty of money

905
00:44:23,320 --> 00:44:26,640
Speaker 2: legitimately and not have problems. Now with the Department of justice.

906
00:44:26,920 --> 00:44:28,879
Speaker 2: And you know, I mean, look if you I mean

907
00:44:28,920 --> 00:44:31,279
Speaker 2: the legal fees that you're going to incur on a

908
00:44:31,360 --> 00:44:34,200
Speaker 2: case like this, Oh my god. Some of these you know,

909
00:44:34,480 --> 00:44:36,600
Speaker 2: from what I understand, these Washington lawyers who work on

910
00:44:36,640 --> 00:44:39,440
Speaker 2: these deals, they charge like one thousand dollars an hour,

911
00:44:39,680 --> 00:44:42,560
Speaker 2: you know, just to interface with the government on your behalf.

912
00:44:42,640 --> 00:44:44,600
Speaker 2: So good luck. You know, it's some of those folks

913
00:44:44,640 --> 00:44:47,040
Speaker 2: out there. It's not worth it. It's not worth even

914
00:44:47,080 --> 00:44:51,040
Speaker 2: the public reputation hit. They'll take the absolutely, it's just embarrassing.

915
00:44:51,360 --> 00:44:53,439
Speaker 1: Yeah, it'd be interesting to see what happens with Lauren

916
00:44:53,480 --> 00:44:54,759
Speaker 1: Chen from here yet.

917
00:44:54,880 --> 00:44:57,239
Speaker 2: I mean, she should go to jail, she really should,

918
00:44:57,600 --> 00:45:00,280
Speaker 2: or she should get at the very least she' should

919
00:45:00,280 --> 00:45:03,200
Speaker 2: be put on probation or something like that. And all

920
00:45:03,239 --> 00:45:05,480
Speaker 2: of those people involved, Ruben, you should sue her, They

921
00:45:05,520 --> 00:45:09,600
Speaker 2: really should, like sue take their assets because they the

922
00:45:09,719 --> 00:45:13,560
Speaker 2: public reputation would be pretty easy to prove about the

923
00:45:13,680 --> 00:45:17,239
Speaker 2: damages of what you've done. And second, you know, the

924
00:45:17,320 --> 00:45:20,560
Speaker 2: US government has the direct evidence of you lying to people,

925
00:45:20,640 --> 00:45:25,719
Speaker 2: so screw you. Honestly, I have genuinely scum to put

926
00:45:25,760 --> 00:45:28,719
Speaker 2: something like that onto other people. That's if anything you know,

927
00:45:28,760 --> 00:45:31,200
Speaker 2: maybe you can live with taking money from a foreign government,

928
00:45:31,239 --> 00:45:34,320
Speaker 2: but deceiving others that is the worst thing you can do,

929
00:45:34,760 --> 00:45:36,080
Speaker 2: especially given what has happened now.

930
00:45:36,120 --> 00:45:41,839
Speaker 1: Yep, So former President Trump did a big, supposedly town hall,

931
00:45:41,920 --> 00:45:44,600
Speaker 1: but did the hall didn't actually ask any questions. What

932
00:45:44,719 --> 00:45:48,160
Speaker 1: was Sean Hannity last night? Our producer Griffin pulled some

933
00:45:48,280 --> 00:45:51,520
Speaker 1: of the most interesting moments from the evening. When he

934
00:45:51,560 --> 00:45:53,960
Speaker 1: got a question, this was kind of elicit an interesting

935
00:45:54,000 --> 00:45:57,200
Speaker 1: response about the contrast between the twenty sixteen campaign and

936
00:45:57,320 --> 00:45:58,000
Speaker 1: this campaign.

937
00:45:58,160 --> 00:45:59,560
Speaker 3: Let's take a listen to how he responded.

938
00:46:00,000 --> 00:46:03,640
Speaker 7: Sixteen was about the forgotten man and forgotten woman.

939
00:46:04,640 --> 00:46:07,840
Speaker 4: What is twenty twenty four about him? So it's not

940
00:46:07,920 --> 00:46:08,520
Speaker 4: that different.

941
00:46:08,920 --> 00:46:13,000
Speaker 7: It's still about the forgotten man and the forgotten woman.

942
00:46:13,160 --> 00:46:16,840
Speaker 7: The people are being treated horribly in this country. We're

943
00:46:16,880 --> 00:46:19,360
Speaker 7: a country that's being left at all over the world.

944
00:46:19,920 --> 00:46:23,560
Speaker 7: And I'll be honest, if Joe Biden would be a

945
00:46:23,560 --> 00:46:27,080
Speaker 7: great president, I would be happier than being the worst

946
00:46:27,080 --> 00:46:30,200
Speaker 7: president in the history of our country, because I want

947
00:46:30,239 --> 00:46:32,239
Speaker 7: to see what's good for the country and I would

948
00:46:32,239 --> 00:46:32,960
Speaker 7: have been very happy.

949
00:46:33,000 --> 00:46:35,880
Speaker 4: I have very nice places I could be. This is

950
00:46:35,920 --> 00:46:38,080
Speaker 4: not easy. I got shot at you know, I mean,

951
00:46:38,160 --> 00:46:42,160
Speaker 4: I got hit. I got hit. Why it would have

952
00:46:42,200 --> 00:46:43,799
Speaker 4: been all over that place I could have.

953
00:46:44,080 --> 00:46:48,080
Speaker 7: But you know what, it's very simple, and it starts

954
00:46:48,120 --> 00:46:50,520
Speaker 7: with make America great again.

955
00:46:50,600 --> 00:46:51,480
Speaker 4: That's what we have to do.

956
00:46:52,239 --> 00:46:54,120
Speaker 1: Would you make of that soccer? Because I mean, it's

957
00:46:54,200 --> 00:46:56,640
Speaker 1: just listen. Back in twenty sixteen, there was a lot

958
00:46:56,680 --> 00:46:59,279
Speaker 1: there in terms of you know, talking about trade, talking

959
00:46:59,280 --> 00:47:02,839
Speaker 1: about the Iraq War, like it was credible to say

960
00:47:02,880 --> 00:47:04,359
Speaker 1: this is about the forgotten man and woman.

961
00:47:04,560 --> 00:47:07,680
Speaker 3: It's not credible anymore. I mean, your biggest.

962
00:47:07,280 --> 00:47:10,839
Speaker 1: Agenda item in the first term was this giant tax

963
00:47:10,880 --> 00:47:13,560
Speaker 1: cut for largely for rich people, the type of people

964
00:47:13,640 --> 00:47:15,400
Speaker 1: you put we were talking about this earlier that you

965
00:47:15,440 --> 00:47:17,840
Speaker 1: put in your cabinet and key positions of power like

966
00:47:18,120 --> 00:47:21,279
Speaker 1: Wilbur Ross, who's known for buying up and selling off

967
00:47:21,280 --> 00:47:24,200
Speaker 1: steel Company, the polar opposite of what you said your

968
00:47:24,200 --> 00:47:27,520
Speaker 1: priorities were going to be here. Your Nationalite Relations board

969
00:47:27,640 --> 00:47:30,520
Speaker 1: was all about crushing workers. So and this time around,

970
00:47:30,520 --> 00:47:33,719
Speaker 1: there just isn't even a lot of rhetoric around the

971
00:47:33,760 --> 00:47:36,560
Speaker 1: quote unquote forgotten man and forgotten woman. So I don't

972
00:47:36,600 --> 00:47:38,280
Speaker 1: know that that's very credible at this point.

973
00:47:38,320 --> 00:47:39,880
Speaker 2: Okay, you and I may know that, but yeah, a

974
00:47:40,160 --> 00:47:41,879
Speaker 2: field don't know that. Of course, Well, how many people

975
00:47:41,920 --> 00:47:45,000
Speaker 2: are looking at policy or NLRB or who knows who

976
00:47:45,080 --> 00:47:48,759
Speaker 2: Wilbur Ross is only people who follow very closely. So look,

977
00:47:48,880 --> 00:47:51,920
Speaker 2: in a certain sense, this is was his best strength.

978
00:47:52,080 --> 00:47:54,239
Speaker 2: I think that would be the best thing that he

979
00:47:54,320 --> 00:47:57,399
Speaker 2: could quote unquote lean into. If you listen to many

980
00:47:57,440 --> 00:48:00,440
Speaker 2: of the interviews that jd Vance gives works Ham, this

981
00:48:00,520 --> 00:48:02,960
Speaker 2: is a lot more what it is I do. If anything,

982
00:48:02,960 --> 00:48:05,560
Speaker 2: I'm gonna read it this way. Hannity seems to be

983
00:48:05,800 --> 00:48:09,000
Speaker 2: clear that he believes like Trump has maybe lost his step,

984
00:48:09,040 --> 00:48:10,960
Speaker 2: and he's like, maybe we should come back to the

985
00:48:11,080 --> 00:48:13,759
Speaker 2: forgotten man, right and we should come back to some

986
00:48:13,840 --> 00:48:15,560
Speaker 2: of that rhetoric, and that seems to be where you

987
00:48:15,600 --> 00:48:17,680
Speaker 2: thrive the most. So he talked to Lar. I mean, look,

988
00:48:17,680 --> 00:48:19,839
Speaker 2: immigration is probably his best issue, is probably the issue

989
00:48:19,840 --> 00:48:22,440
Speaker 2: that resonates most with a lot of working class issues

990
00:48:22,560 --> 00:48:24,960
Speaker 2: that are working class base that he has so far,

991
00:48:25,160 --> 00:48:28,560
Speaker 2: That's what he's probably should be talking about where it's

992
00:48:28,560 --> 00:48:31,279
Speaker 2: at his best. So the forgotten man thing is very

993
00:48:31,280 --> 00:48:34,960
Speaker 2: powerful whenever you want to embrace it. This time around, though,

994
00:48:35,080 --> 00:48:36,400
Speaker 2: and I mean, look, he did a lot of this

995
00:48:36,520 --> 00:48:41,520
Speaker 2: in twenty twenty. It's very anti left. Now that can work.

996
00:48:41,719 --> 00:48:44,200
Speaker 2: Let's be real, Like, it's potent, and it is one

997
00:48:44,239 --> 00:48:47,000
Speaker 2: that is actually more unifying to the Republican coalition. It's

998
00:48:47,000 --> 00:48:50,640
Speaker 2: a lot of these people are communists, Delroy, Yeah, exactly,

999
00:48:50,719 --> 00:48:52,680
Speaker 2: And actually that's much more unifying in terms of like

1000
00:48:52,719 --> 00:48:55,680
Speaker 2: the Republican electorate because you've got people who you know,

1001
00:48:55,800 --> 00:48:57,839
Speaker 2: small business owners or whatever, who all they care about

1002
00:48:57,920 --> 00:49:00,640
Speaker 2: is low taxes, and you've got working class they don't

1003
00:49:00,680 --> 00:49:03,480
Speaker 2: care about that at all. They're animated about immigration, or

1004
00:49:03,600 --> 00:49:06,400
Speaker 2: they're animated about trade or you know, many variety of

1005
00:49:06,440 --> 00:49:09,160
Speaker 2: other things. But they also kind of hate cultural leftism.

1006
00:49:09,239 --> 00:49:12,640
Speaker 2: So this campaign to me seems much more about like

1007
00:49:12,960 --> 00:49:17,520
Speaker 2: cultural like capital l liberals and being anti that, and

1008
00:49:17,560 --> 00:49:19,440
Speaker 2: that is potent. I mean, you can easily win the

1009
00:49:19,440 --> 00:49:21,520
Speaker 2: White House. I think that's what we learn in twenty

1010
00:49:21,560 --> 00:49:24,399
Speaker 2: twenty whenever he did all that last time, and it's

1011
00:49:24,480 --> 00:49:27,600
Speaker 2: quite clear it could work against Kamala Harris as well.

1012
00:49:27,800 --> 00:49:30,840
Speaker 2: I prefer they're forgotten man stuff. Yeah, but that's not really.

1013
00:49:30,680 --> 00:49:33,360
Speaker 1: What you're describing is just a very standard Republican playbook.

1014
00:49:33,440 --> 00:49:35,560
Speaker 1: It's just very like you know, Mitt Romney, could have

1015
00:49:35,600 --> 00:49:38,800
Speaker 1: been launching these same sort of attacks against who And

1016
00:49:39,320 --> 00:49:41,680
Speaker 1: you know, whether it's Kamala or Joe Biden or Barack

1017
00:49:41,719 --> 00:49:44,799
Speaker 1: Obama or Bill Clinton, whoever it is, at some point

1018
00:49:44,880 --> 00:49:48,480
Speaker 1: they've all been called communists by Republicans. So it's just

1019
00:49:48,840 --> 00:49:54,040
Speaker 1: it's a very sort of typical Republican playbook. They also, obviously,

1020
00:49:54,120 --> 00:49:56,560
Speaker 1: the subject of Kamala Harris did come up, and Sean

1021
00:49:56,560 --> 00:49:59,000
Speaker 1: Hannity made a joke about, you know, the how the

1022
00:49:59,040 --> 00:50:02,680
Speaker 1: brevity of her interview with CNN. Now, when you're Sean

1023
00:50:02,719 --> 00:50:05,440
Speaker 1: Hannity and you're doing an incredibly thoughtful interview with Trump,

1024
00:50:05,440 --> 00:50:06,680
Speaker 1: I don't know that you have a lot of legs

1025
00:50:06,680 --> 00:50:08,120
Speaker 1: to stand on. But in any case, let's take a

1026
00:50:08,120 --> 00:50:09,120
Speaker 1: listen to that exchange.

1027
00:50:09,280 --> 00:50:13,439
Speaker 7: If you watch that interview, she had notes that means

1028
00:50:13,480 --> 00:50:16,560
Speaker 7: she knew the questions and she had notes she kept

1029
00:50:16,560 --> 00:50:20,160
Speaker 7: looking down. Nobody wants to cover it. I know all

1030
00:50:20,160 --> 00:50:22,680
Speaker 7: about notes. I mean, you know, it's all right if

1031
00:50:22,680 --> 00:50:25,680
Speaker 7: people know that. But she was a bestved notes. So

1032
00:50:25,760 --> 00:50:28,360
Speaker 7: she's asked a question, she looks down to keep. So

1033
00:50:29,239 --> 00:50:31,759
Speaker 7: she had notes that means she knew that she knew

1034
00:50:31,760 --> 00:50:35,160
Speaker 7: it was about did her campaign When they said that

1035
00:50:35,239 --> 00:50:37,440
Speaker 7: they wanted to change the rules that they had agreed to.

1036
00:50:38,480 --> 00:50:41,440
Speaker 4: Did they ask for notes? Did they ask for that?

1037
00:50:41,600 --> 00:50:43,839
Speaker 7: They wanted notes, They wanted to be seated, and they

1038
00:50:43,840 --> 00:50:44,640
Speaker 7: wanted your mic ho.

1039
00:50:44,840 --> 00:50:46,319
Speaker 4: They wanted a desk. I'm going to allow it.

1040
00:50:46,360 --> 00:50:49,080
Speaker 7: You can't take the chance. You have no choice. You've

1041
00:50:49,120 --> 00:50:51,719
Speaker 7: got to vote from me. You've got to vote from me.

1042
00:50:52,160 --> 00:50:52,680
Speaker 1: You got.

1043
00:50:54,760 --> 00:50:58,200
Speaker 4: Even if you don't like me. But even if you.

1044
00:50:58,120 --> 00:51:00,880
Speaker 7: Don't like me, you could sit there. I can't stand

1045
00:51:00,920 --> 00:51:02,919
Speaker 7: that guy, but there's no way I'm going to vote

1046
00:51:02,920 --> 00:51:03,160
Speaker 7: for her.

1047
00:51:03,600 --> 00:51:05,400
Speaker 1: I actually think that last part is kind of a

1048
00:51:05,480 --> 00:51:08,160
Speaker 1: good that that actually is his part is his core

1049
00:51:08,200 --> 00:51:13,239
Speaker 1: strategy is, listen, my favorability rating, it's not going to

1050
00:51:13,320 --> 00:51:15,840
Speaker 1: come up. It is what it is. I need to

1051
00:51:15,840 --> 00:51:18,799
Speaker 1: get some people who don't like me to hate her

1052
00:51:19,000 --> 00:51:22,040
Speaker 1: even more. And that's the goal between here and election night.

1053
00:51:22,040 --> 00:51:22,160
Speaker 3: Now.

1054
00:51:22,200 --> 00:51:23,680
Speaker 1: So far, they haven't done a very good job of that.

1055
00:51:23,719 --> 00:51:27,400
Speaker 1: Her approval rating has gone up tremendously. But you know,

1056
00:51:27,560 --> 00:51:29,480
Speaker 1: even though in some ways the time is very short

1057
00:51:29,480 --> 00:51:32,160
Speaker 1: between now and election day, and another way it's very long.

1058
00:51:32,320 --> 00:51:35,640
Speaker 1: And so his goal is going to be to push

1059
00:51:35,719 --> 00:51:38,720
Speaker 1: up that number of double haters and be able to

1060
00:51:38,760 --> 00:51:41,040
Speaker 1: try to win a majority of them in the way

1061
00:51:41,080 --> 00:51:43,239
Speaker 1: that he did in twenty sixteen. And so that's his

1062
00:51:43,320 --> 00:51:45,360
Speaker 1: pitch is basically like, listen, you may not like me,

1063
00:51:45,480 --> 00:51:46,520
Speaker 1: but you got no choice.

1064
00:51:46,600 --> 00:51:47,600
Speaker 3: You can't vote for her.

1065
00:51:47,920 --> 00:51:51,360
Speaker 1: She's incompetent, she needs the notes, et cetera, et cetera.

1066
00:51:51,760 --> 00:51:53,959
Speaker 1: That really is kind of his core bet in terms

1067
00:51:54,000 --> 00:51:54,719
Speaker 1: of how he can win.

1068
00:51:54,880 --> 00:51:57,400
Speaker 2: I don't think it's a bad strategy either. Remember in

1069
00:51:57,400 --> 00:52:00,000
Speaker 2: twenty sixteen he had a thirty five percent approval rate

1070
00:52:00,280 --> 00:52:03,000
Speaker 2: and he's still won some forty eight something percent of

1071
00:52:03,040 --> 00:52:05,960
Speaker 2: the vote. Twenty twenty, his approval rating was actually lower

1072
00:52:06,000 --> 00:52:08,480
Speaker 2: and he won ten million more votes than the last

1073
00:52:08,480 --> 00:52:11,560
Speaker 2: time around. The double hater thing is actually strong and

1074
00:52:11,680 --> 00:52:13,880
Speaker 2: coming at it head on. I kind of like it

1075
00:52:13,920 --> 00:52:15,960
Speaker 2: because at this point, what Trump has been in our

1076
00:52:16,000 --> 00:52:19,040
Speaker 2: lives since twenty eleven, he's been in a national political figure.

1077
00:52:19,320 --> 00:52:21,040
Speaker 2: Nobody is like, you know, I don't know what I

1078
00:52:21,080 --> 00:52:23,279
Speaker 2: think about this guy. There are a lot of people

1079
00:52:23,280 --> 00:52:24,439
Speaker 2: who hate him, but there are a lot of people

1080
00:52:24,440 --> 00:52:26,040
Speaker 2: will hold their nose and we'll also vote for him,

1081
00:52:26,040 --> 00:52:28,319
Speaker 2: as we've learned two times around now, so this time

1082
00:52:28,400 --> 00:52:30,640
Speaker 2: this whole look, you know, you may not like me,

1083
00:52:30,760 --> 00:52:33,080
Speaker 2: but you can't vote for the other guy. That's powerful.

1084
00:52:33,080 --> 00:52:36,160
Speaker 2: That's what happened with Biden in and twenty so again,

1085
00:52:36,239 --> 00:52:38,640
Speaker 2: I don't love this, like for the country, I don't

1086
00:52:38,680 --> 00:52:42,360
Speaker 2: think this is healthy. But from an objective standpoint, I

1087
00:52:42,400 --> 00:52:45,120
Speaker 2: think it can be powerful and it's not a bad

1088
00:52:45,160 --> 00:52:49,400
Speaker 2: one in particular. For let's think about like the conservative

1089
00:52:49,719 --> 00:52:53,080
Speaker 2: like moms and dads who are making let's call it

1090
00:52:53,120 --> 00:52:55,239
Speaker 2: like two hundred grand a year. These people don't really

1091
00:52:55,320 --> 00:52:58,080
Speaker 2: like Trump. They're much more Mitt Romney folks. They are

1092
00:52:58,160 --> 00:53:01,960
Speaker 2: lifelong Republicans, love McCain, love Romney. But they are like

1093
00:53:02,040 --> 00:53:04,560
Speaker 2: Kamala Harris either some of them have actually been voting

1094
00:53:04,560 --> 00:53:07,839
Speaker 2: for her, but this time around they're like, well, I'm

1095
00:53:07,880 --> 00:53:09,640
Speaker 2: just not so sure. And they hear something like that,

1096
00:53:09,840 --> 00:53:12,319
Speaker 2: maybe it's persuasive, it's possible, at least puts it in

1097
00:53:12,360 --> 00:53:14,239
Speaker 2: your head. And it's definitely one that a lot of

1098
00:53:14,239 --> 00:53:16,680
Speaker 2: their neighbors and others. This is where I think the

1099
00:53:16,760 --> 00:53:20,279
Speaker 2: biggest conflict is is over that Liz Chainey type voter.

1100
00:53:20,360 --> 00:53:23,200
Speaker 2: Right yesterday she endorsed Kamala Harris by the way, congratulations.

1101
00:53:23,880 --> 00:53:27,239
Speaker 2: She said, She's like it's too much, you know, to

1102
00:53:27,360 --> 00:53:29,279
Speaker 2: even write in and the swings to stakes are just

1103
00:53:29,360 --> 00:53:32,640
Speaker 2: too high. So I'm voting for Kamala Harris. But that

1104
00:53:33,080 --> 00:53:35,560
Speaker 2: fight is playing out in a lot of these upper

1105
00:53:35,600 --> 00:53:39,440
Speaker 2: middle class Republican circles. And that's the logic that I

1106
00:53:39,480 --> 00:53:42,120
Speaker 2: often hear, you know, from those types of people. They're like,

1107
00:53:42,120 --> 00:53:43,400
Speaker 2: I don't even like him, but I am going to

1108
00:53:43,480 --> 00:53:43,960
Speaker 2: vote for him.

1109
00:53:44,000 --> 00:53:48,280
Speaker 1: Yeah, it's you know, it's the existential type of you know, steakes.

1110
00:53:48,719 --> 00:53:51,280
Speaker 1: And like I said, I think if it's going to work, he's.

1111
00:53:51,080 --> 00:53:52,640
Speaker 3: Got to be more effective.

1112
00:53:52,680 --> 00:53:54,600
Speaker 1: They got to find some ways to dig her up

1113
00:53:54,640 --> 00:53:56,880
Speaker 1: more effectively, because right now our approval rating is in

1114
00:53:56,960 --> 00:54:00,600
Speaker 1: positive territory in moost bowls, which is actually pretty usual

1115
00:54:00,960 --> 00:54:04,279
Speaker 1: for a modern politician at this time. The thing that

1116
00:54:04,320 --> 00:54:06,520
Speaker 1: he was saying about, you know, the notes and trying

1117
00:54:06,520 --> 00:54:10,759
Speaker 1: to undercut her credibility and disqualify her, that hasn't.

1118
00:54:10,520 --> 00:54:11,040
Speaker 3: Worked so far.

1119
00:54:11,040 --> 00:54:13,279
Speaker 1: We showed that poll earlier in the week more people

1120
00:54:13,320 --> 00:54:15,879
Speaker 1: found her to be qualified to be president than him.

1121
00:54:16,360 --> 00:54:18,560
Speaker 1: So he's got some work to do if he's going

1122
00:54:18,640 --> 00:54:20,960
Speaker 1: to bring her favorability numbers. But you know, they've got

1123
00:54:21,000 --> 00:54:23,960
Speaker 1: a lot of ad spending plans and he's doing his

1124
00:54:23,960 --> 00:54:26,560
Speaker 1: his interviews and getting out there and doing his thing.

1125
00:54:26,680 --> 00:54:28,680
Speaker 1: So I have no doubt that by the time election

1126
00:54:28,760 --> 00:54:32,320
Speaker 1: day rolls around, some of that will land and.

1127
00:54:32,320 --> 00:54:34,000
Speaker 3: Her approval rating will take a hit.

1128
00:54:34,040 --> 00:54:37,160
Speaker 2: Between now today, I mean, it has probably nothing to

1129
00:54:37,160 --> 00:54:38,799
Speaker 2: do with her. People are going to make up their

1130
00:54:38,800 --> 00:54:41,000
Speaker 2: minds and they get hardened before the election. That's just

1131
00:54:41,320 --> 00:54:42,560
Speaker 2: how it goes in terms.

1132
00:54:42,400 --> 00:54:44,399
Speaker 1: Of But I do think he missed a key window here,

1133
00:54:44,480 --> 00:54:45,799
Speaker 1: like they waited too long.

1134
00:54:46,080 --> 00:54:48,920
Speaker 2: I said that from yeah, I go, hey, what are

1135
00:54:48,960 --> 00:54:51,719
Speaker 2: we doing here? You know? Even this, Sorry, why are

1136
00:54:51,719 --> 00:54:54,600
Speaker 2: we on a Sean Hannity Fox News interview? What is

1137
00:54:54,640 --> 00:54:58,120
Speaker 2: happening right for Sean McGuire, Yes, Sean, his whole audience

1138
00:54:58,160 --> 00:55:01,520
Speaker 2: is voting for Trump, like okay. Well, also, Sean didn't

1139
00:55:01,520 --> 00:55:04,319
Speaker 2: even give him any questions from the town hall, which

1140
00:55:04,360 --> 00:55:07,960
Speaker 2: would have allowed them to go viral and can be covered, right,

1141
00:55:08,040 --> 00:55:11,680
Speaker 2: because that's where the most interesting exchanges are. Now, this

1142
00:55:11,760 --> 00:55:14,000
Speaker 2: is the thing too with Trump and the podcast strategy.

1143
00:55:14,520 --> 00:55:17,600
Speaker 2: At the very least, you're getting clips of that that

1144
00:55:17,680 --> 00:55:21,640
Speaker 2: are going viral because they're different. So Trump in general

1145
00:55:21,960 --> 00:55:25,400
Speaker 2: does better actually, I think in adversari interviews. This is

1146
00:55:25,440 --> 00:55:29,480
Speaker 2: another thing I've been watching JD's media calendar. It's all adversarial.

1147
00:55:29,600 --> 00:55:32,080
Speaker 2: Almost none of it is friendly. He's going on the

1148
00:55:32,080 --> 00:55:35,359
Speaker 2: New York Times the Interview podcast. That's gonna be great, right,

1149
00:55:35,400 --> 00:55:38,920
Speaker 2: You're gonna have like Michelle Goldberg folks like that, like

1150
00:55:39,120 --> 00:55:43,400
Speaker 2: ultra Russiagate libs literally up against JD. I can guarantee

1151
00:55:43,400 --> 00:55:46,000
Speaker 2: you there will be some decent content that comes out

1152
00:55:46,000 --> 00:55:49,200
Speaker 2: of that. Trump needs to put himself more into that space,

1153
00:55:49,480 --> 00:55:52,520
Speaker 2: because I think he actually does better in some sort

1154
00:55:52,520 --> 00:55:55,480
Speaker 2: of a challenging environment as opposed to this just like

1155
00:55:56,320 --> 00:55:59,840
Speaker 2: this just fluid nonsense, right, And I'm sure it's comfortable.

1156
00:56:00,040 --> 00:56:01,960
Speaker 2: I get that from a human level. It's probably comfortable

1157
00:56:02,000 --> 00:56:05,040
Speaker 2: to sit there and bs with Sean Harris. But totally

1158
00:56:05,400 --> 00:56:07,200
Speaker 2: I don't see it. I don't see it for him

1159
00:56:07,800 --> 00:56:08,200
Speaker 2: me neither.

1160
00:56:08,440 --> 00:56:11,440
Speaker 1: I don't understand the strategy. Like I'll say this delicately

1161
00:56:11,480 --> 00:56:13,560
Speaker 1: because you have personal friends with JD. But he's the

1162
00:56:13,600 --> 00:56:16,120
Speaker 1: least popular person out of the four of these individuals.

1163
00:56:16,239 --> 00:56:18,560
Speaker 1: Why is he campaigning more than you are? I see

1164
00:56:18,560 --> 00:56:19,560
Speaker 1: the one out doing the interviews.

1165
00:56:19,600 --> 00:56:22,239
Speaker 2: By the way, I no more disagreeable. I mean, that's

1166
00:56:22,280 --> 00:56:25,120
Speaker 2: just the fact it's America's job to decide what they

1167
00:56:25,160 --> 00:56:27,319
Speaker 2: think about JD. I don't agree with them, but that's fine. Yeah,

1168
00:56:27,520 --> 00:56:28,600
Speaker 2: I don't agree with America on the.

1169
00:56:28,640 --> 00:56:31,920
Speaker 1: Law, right, So like, okay, you're putting your weakest asset

1170
00:56:32,120 --> 00:56:34,759
Speaker 1: in terms of how people feel about this guy out

1171
00:56:34,840 --> 00:56:38,480
Speaker 1: front to do like the heavy lifting of the campaign. Meanwhile,

1172
00:56:38,480 --> 00:56:42,319
Speaker 1: you're going on. I think he's really convinced himself. Like

1173
00:56:42,360 --> 00:56:45,400
Speaker 1: in the Lex Friedman podcast interview, which was atrocious by

1174
00:56:45,440 --> 00:56:47,840
Speaker 1: the way, but we'll save that for another day, he

1175
00:56:48,080 --> 00:56:52,640
Speaker 1: mentioned how many views his Twitter spaces with Elon Musk

1176
00:56:52,800 --> 00:56:57,280
Speaker 1: got and I was like, you're really buying those numbers.

1177
00:56:57,880 --> 00:57:01,520
Speaker 1: You really believe that that had some sort of like

1178
00:57:01,760 --> 00:57:05,319
Speaker 1: massive traction and was really an incredible benefit for your kid.

1179
00:57:05,440 --> 00:57:08,319
Speaker 1: It was a disaster. You guys will remember how long

1180
00:57:08,360 --> 00:57:08,799
Speaker 1: did it take?

1181
00:57:08,840 --> 00:57:10,799
Speaker 3: We couldn't get on the tech failed.

1182
00:57:11,160 --> 00:57:14,040
Speaker 1: Once it did, it sounded like crap. He was slurring.

1183
00:57:14,800 --> 00:57:17,040
Speaker 1: That was you know, the microphone or whatever issue was going,

1184
00:57:17,080 --> 00:57:20,400
Speaker 1: but it sounded terrible, okay, And the numbers on that

1185
00:57:20,440 --> 00:57:24,480
Speaker 1: anyone with a brain knows as total, complete, made up bullshit.

1186
00:57:25,040 --> 00:57:29,120
Speaker 1: So I think he's really convinced himself of this strategy.

1187
00:57:29,400 --> 00:57:33,200
Speaker 1: And I said this before, but you know, just look,

1188
00:57:33,320 --> 00:57:36,160
Speaker 1: I would like it if the alternative media sphere was

1189
00:57:36,320 --> 00:57:39,200
Speaker 1: more powerful than it is, but it ain't. Look at

1190
00:57:39,280 --> 00:57:41,760
Speaker 1: Andrew Yang and how his campaign went. That was largely

1191
00:57:41,800 --> 00:57:43,880
Speaker 1: an online like, let me go on all the podcasts

1192
00:57:43,920 --> 00:57:46,920
Speaker 1: and do the thing campaign. Look at viveg Ramaswami, who

1193
00:57:47,080 --> 00:57:49,360
Speaker 1: also had this very online let me go on all

1194
00:57:49,360 --> 00:57:53,320
Speaker 1: the like you know, alternative media, right left, whatever, podcast.

1195
00:57:52,880 --> 00:57:54,960
Speaker 3: And do the thing. It was a four percent in

1196
00:57:55,000 --> 00:57:55,520
Speaker 3: the polls.

1197
00:57:56,120 --> 00:58:02,640
Speaker 1: So you know, he's Trump really understands television, really understands television.

1198
00:58:03,160 --> 00:58:07,080
Speaker 1: I don't think he understands the alternative media space at all.

1199
00:58:07,200 --> 00:58:09,600
Speaker 1: I don't think that the strategy makes any sense. I

1200
00:58:09,680 --> 00:58:12,560
Speaker 1: think he or his advisors or whoever, have convinced them

1201
00:58:12,880 --> 00:58:16,000
Speaker 1: that this is way more powerful than it ultimately is.

1202
00:58:16,200 --> 00:58:18,040
Speaker 1: And then yeah, and then you're spending your time doing

1203
00:58:18,040 --> 00:58:20,760
Speaker 1: this Sean Hannity interview to a friendly audience that already

1204
00:58:21,120 --> 00:58:22,880
Speaker 1: like knows, loves and is going to vote for you.

1205
00:58:23,280 --> 00:58:24,640
Speaker 1: None of it is very logical.

1206
00:58:24,640 --> 00:58:26,760
Speaker 2: I'll flip it. I think the podcast thing is great

1207
00:58:26,800 --> 00:58:28,360
Speaker 2: as long as it's additive, as long as.

1208
00:58:28,320 --> 00:58:30,200
Speaker 3: You're doing both right, but it's really not.

1209
00:58:30,360 --> 00:58:34,680
Speaker 2: Right that he needs to do. I think more adversarial stuff.

1210
00:58:34,560 --> 00:58:36,640
Speaker 1: And you're not even really doing a lot of routy,

1211
00:58:36,680 --> 00:58:39,240
Speaker 1: like he didn't even campaign on Labor Day, like to

1212
00:58:39,320 --> 00:58:42,920
Speaker 1: the Forgotten Man thing, and you're trying to drape yourself

1213
00:58:42,960 --> 00:58:45,720
Speaker 1: in like you know, working people and trying to win

1214
00:58:45,760 --> 00:58:47,960
Speaker 1: more of the union vote, and you don't even campaign

1215
00:58:47,960 --> 00:58:48,600
Speaker 1: on Labor Day.

1216
00:58:48,600 --> 00:58:49,240
Speaker 3: That's crazy.

1217
00:58:49,320 --> 00:58:51,919
Speaker 2: So I'm looking at a schedule. I believe he's got

1218
00:58:51,960 --> 00:58:56,000
Speaker 2: what He's got a rally that is this weekend in Wisconsin,

1219
00:58:56,120 --> 00:59:00,520
Speaker 2: and after or that, let's see, he will give a

1220
00:59:00,520 --> 00:59:04,120
Speaker 2: speech in Phoenix, Arizona. I think that's today, and there

1221
00:59:04,120 --> 00:59:07,280
Speaker 2: will be quote an agenda forty seven policy tour that

1222
00:59:07,400 --> 00:59:10,600
Speaker 2: is in Milwaukee, featuring Doug Burgum and a bunch of

1223
00:59:10,680 --> 00:59:12,800
Speaker 2: other people I've never heard of. So okay, all right,

1224
00:59:12,800 --> 00:59:14,960
Speaker 2: that's what's on the schedule for today. Right now, He's

1225
00:59:15,000 --> 00:59:19,280
Speaker 2: going to Wisconsin, which I mean that actually makes sense electorally,

1226
00:59:19,320 --> 00:59:21,360
Speaker 2: But look, in general, I think he needs to work harder.

1227
00:59:21,400 --> 00:59:24,880
Speaker 2: I think he needs to flood the zone. And this

1228
00:59:24,920 --> 00:59:28,120
Speaker 2: is the other thing. Twenty sixteen Trump actually genuinely flooded

1229
00:59:28,120 --> 00:59:31,200
Speaker 2: the zone. And this is where the podcast strategy can

1230
00:59:31,240 --> 00:59:34,600
Speaker 2: be genuinely additive. We'll see what they do, maybe he

1231
00:59:34,680 --> 00:59:37,840
Speaker 2: wants to take some time to prepare you know, what

1232
00:59:37,880 --> 00:59:40,560
Speaker 2: does it prepare for the for the debate, the debate

1233
00:59:40,600 --> 00:59:42,720
Speaker 2: which is coming up, that kind of that would be

1234
00:59:42,720 --> 00:59:44,120
Speaker 2: a fair human That.

1235
00:59:44,040 --> 00:59:46,480
Speaker 1: Would be a first that he wanted to prepare for

1236
00:59:46,520 --> 00:59:46,920
Speaker 1: a debate.

1237
00:59:46,960 --> 00:59:47,960
Speaker 3: He doesn't normally do that.

1238
00:59:48,120 --> 00:59:49,800
Speaker 2: I think he needs to work harder. I think jd

1239
00:59:49,840 --> 00:59:52,680
Speaker 2: strategy is much more effective actually, and it would be

1240
00:59:52,720 --> 00:59:54,560
Speaker 2: ten x more effective with Trump was just like with

1241
00:59:54,600 --> 00:59:57,959
Speaker 2: the most dynamic figure in modern American politics. So look,

1242
00:59:58,320 --> 00:59:59,520
Speaker 2: you know, I'm not running this campaign.

1243
00:59:59,640 --> 01:00:01,240
Speaker 1: Yeah, I mean, and let me let me just say,

1244
01:00:01,280 --> 01:00:03,840
Speaker 1: let's talk a little bit more about Kammain the poll block.

1245
01:00:03,880 --> 01:00:06,880
Speaker 1: But I don't think that their strategy is particularly good either.

1246
01:00:07,280 --> 01:00:09,960
Speaker 1: They have you know, Tim Walls is very popular, and

1247
01:00:10,000 --> 01:00:11,400
Speaker 1: where is he on all of these It.

1248
01:00:11,400 --> 01:00:14,480
Speaker 2: Doesn't even take questions from freaking local media what is

1249
01:00:14,520 --> 01:00:14,840
Speaker 2: going on?

1250
01:00:14,880 --> 01:00:17,120
Speaker 1: I mean, they actually have a really tremendous asset in

1251
01:00:17,160 --> 01:00:19,280
Speaker 1: Tim Walls. He has sort of set the most effective

1252
01:00:19,280 --> 01:00:21,240
Speaker 1: parts of their campaign. We're about to show you a

1253
01:00:21,280 --> 01:00:23,920
Speaker 1: Sean Hannity clip with regard to Tim Walls in terms

1254
01:00:23,920 --> 01:00:25,840
Speaker 1: of you know, the weird thing, which, whether you like

1255
01:00:25,880 --> 01:00:28,480
Speaker 1: it or not, I think it is way more effective

1256
01:00:28,520 --> 01:00:32,720
Speaker 1: than the over the top, grandiose moralizing about Trump. The

1257
01:00:32,880 --> 01:00:34,800
Speaker 1: sort of like you know, laugh at him, roll your

1258
01:00:34,800 --> 01:00:36,560
Speaker 1: eyes at him, I think is a way more effective

1259
01:00:36,600 --> 01:00:41,439
Speaker 1: strategy the more populous elements of his policy when those

1260
01:00:41,480 --> 01:00:43,360
Speaker 1: have been highlighted, like I think those have been some

1261
01:00:43,400 --> 01:00:45,480
Speaker 1: of the best parts of your campaign, and he's not

1262
01:00:45,560 --> 01:00:49,160
Speaker 1: out here doing cable news interviews. They're shying away from

1263
01:00:49,200 --> 01:00:51,520
Speaker 1: talking about some of the most popular parts of their

1264
01:00:51,560 --> 01:00:56,000
Speaker 1: economic policy. She's too afraid to do interviews of any

1265
01:00:56,120 --> 01:01:00,880
Speaker 1: you know, significance or quantity. So it's not like I

1266
01:01:00,880 --> 01:01:03,280
Speaker 1: think that their strategy is great either, So let me

1267
01:01:03,400 --> 01:01:04,240
Speaker 1: be clear about that.

1268
01:01:04,640 --> 01:01:06,640
Speaker 2: Well, no, you're you're right. I think the reason why

1269
01:01:06,720 --> 01:01:09,160
Speaker 2: they don't do it is because if he did interviews

1270
01:01:09,200 --> 01:01:11,120
Speaker 2: and they'd be like, well, why doesn't your boss do interviews?

1271
01:01:11,200 --> 01:01:14,200
Speaker 2: And that's ultimately what it's about. Also, they don't want

1272
01:01:14,200 --> 01:01:16,480
Speaker 2: to make news on anything, They don't want to clarify anything.

1273
01:01:16,480 --> 01:01:17,920
Speaker 2: I'm like, yeah, so what do you believe on the

1274
01:01:17,920 --> 01:01:20,560
Speaker 2: capital gains tax? Your advisor said this, do you believe

1275
01:01:20,560 --> 01:01:23,200
Speaker 2: in the EV mandate? Yes? Or no? Because recently, apparently

1276
01:01:23,240 --> 01:01:25,640
Speaker 2: the answer is now no or maybe or maybe it's

1277
01:01:25,680 --> 01:01:28,000
Speaker 2: not what is your reaction to the did you watch that?

1278
01:01:28,040 --> 01:01:30,320
Speaker 2: You know the clip where they asked him, They're like, hey,

1279
01:01:30,320 --> 01:01:33,240
Speaker 2: what do you think about Hamas murdering those six Israeli hostage?

1280
01:01:33,280 --> 01:01:35,280
Speaker 2: He's like, all right, thanks everybody. That was it. It's like,

1281
01:01:35,320 --> 01:01:37,800
Speaker 2: come on, Bill, you want to be vice president? Or

1282
01:01:37,840 --> 01:01:40,440
Speaker 2: with Kamala? What is happening here? So yeah, let's not

1283
01:01:40,480 --> 01:01:42,760
Speaker 2: also leave them off the hook because anyway going.

1284
01:01:42,880 --> 01:01:44,920
Speaker 1: Yeah, so let's we'll get some more on that when

1285
01:01:44,960 --> 01:01:48,040
Speaker 1: we get to the polling piece. But here is a

1286
01:01:48,120 --> 01:01:51,120
Speaker 1: question answer with regard to Tim Walls and the quote

1287
01:01:51,160 --> 01:01:52,920
Speaker 1: unquote weird allegations with tay Listen.

1288
01:01:55,280 --> 01:01:59,600
Speaker 7: There's something, there's something weird with that guy. He's a

1289
01:01:59,680 --> 01:02:03,480
Speaker 7: weird guy. JD is not weird. He's a solid rock.

1290
01:02:04,200 --> 01:02:07,120
Speaker 7: I happen to be a very solid rock. We're not weird.

1291
01:02:07,440 --> 01:02:11,040
Speaker 4: We're other things, perhaps, but we're not weird. But he

1292
01:02:11,240 --> 01:02:13,440
Speaker 4: is a weird guy. He walks on the stage.

1293
01:02:13,440 --> 01:02:16,840
Speaker 7: There is something wrong with that guy, and he called

1294
01:02:16,880 --> 01:02:19,600
Speaker 7: me weird, and then the fake news media picks it up.

1295
01:02:19,600 --> 01:02:21,680
Speaker 4: That was the word of the day, weird, weird, weird.

1296
01:02:21,720 --> 01:02:24,320
Speaker 7: They're all going, but we're not weird, guys, we're very

1297
01:02:24,360 --> 01:02:24,959
Speaker 7: solid people.

1298
01:02:25,040 --> 01:02:27,400
Speaker 4: They want our country to be great again. I mean,

1299
01:02:27,440 --> 01:02:28,360
Speaker 4: it's very simple.

1300
01:02:28,720 --> 01:02:31,600
Speaker 1: See. I think he's in a certain sense making like

1301
01:02:31,880 --> 01:02:34,400
Speaker 1: a Hillary twenty sixteen mistake, which is when.

1302
01:02:34,400 --> 01:02:35,640
Speaker 2: What strives in affecting it.

1303
01:02:36,000 --> 01:02:38,840
Speaker 1: Yeah, you know, now they have set the terms of

1304
01:02:38,840 --> 01:02:42,400
Speaker 1: the debate. It's impossible to disprove a weird allegation. And

1305
01:02:42,440 --> 01:02:45,520
Speaker 1: the more you're saying the word, the more you're validating

1306
01:02:45,560 --> 01:02:49,120
Speaker 1: the frame. So yeah, I think it's I think it's

1307
01:02:49,160 --> 01:02:52,240
Speaker 1: been effective, an effective attack on them. I think they

1308
01:02:52,400 --> 01:02:54,320
Speaker 1: have not dealt with it well. And I think the

1309
01:02:54,320 --> 01:02:56,600
Speaker 1: more they talk about it, the more it sort of

1310
01:02:56,640 --> 01:02:59,640
Speaker 1: like gets ingrained in the psyche and the association with

1311
01:02:59,680 --> 01:02:59,960
Speaker 1: the term.

1312
01:03:00,080 --> 01:03:01,959
Speaker 2: I mean, I'll just compare Ja. He doesn't talk about

1313
01:03:01,960 --> 01:03:03,640
Speaker 2: it at all. Every time they ask, he just laughs

1314
01:03:03,640 --> 01:03:05,720
Speaker 2: and he's like, Okay, you know, whatever, next question. I

1315
01:03:06,080 --> 01:03:08,840
Speaker 2: think it's probably more effective, right than than doing this.

1316
01:03:08,920 --> 01:03:11,200
Speaker 2: I don't disagree with you. We have what the last

1317
01:03:11,240 --> 01:03:14,840
Speaker 2: clip here from Trump about World War three and nuclear weapons.

1318
01:03:14,920 --> 01:03:15,440
Speaker 2: Let's take a.

1319
01:03:15,400 --> 01:03:18,760
Speaker 7: Listen, everybody was afraid of Trump. You bring them back,

1320
01:03:18,760 --> 01:03:21,080
Speaker 7: You're not going to have any problems. It's all going

1321
01:03:21,160 --> 01:03:21,680
Speaker 7: to go away.

1322
01:03:21,960 --> 01:03:23,520
Speaker 4: The world is blowing up.

1323
01:03:24,080 --> 01:03:25,600
Speaker 2: The world is blowing up.

1324
01:03:27,440 --> 01:03:31,400
Speaker 4: Bring and shown one thing. The world is blowing up.

1325
01:03:32,040 --> 01:03:34,720
Speaker 7: And when you look at Ukraine and you look at Russia,

1326
01:03:34,760 --> 01:03:37,040
Speaker 7: you look at all the things that are happening, we

1327
01:03:37,080 --> 01:03:40,600
Speaker 7: are potentially getting ready, I'm telling you. And I've made

1328
01:03:40,600 --> 01:03:42,600
Speaker 7: a lot of predictions, and this is not a prediction,

1329
01:03:42,640 --> 01:03:44,720
Speaker 7: because it's so bad. I don't want it to be

1330
01:03:44,760 --> 01:03:49,280
Speaker 7: a prediction. We're heading into World War three territory. And

1331
01:03:49,680 --> 01:03:53,520
Speaker 7: because of the power of weapons, nuclear weapons in particular,

1332
01:03:53,600 --> 01:03:56,840
Speaker 7: but other weapons also. And I know the weapons better

1333
01:03:56,880 --> 01:03:59,280
Speaker 7: than anybody because I'm the one that bought them. And

1334
01:03:59,520 --> 01:04:02,520
Speaker 7: you know, we rebuilt our entire militarily.

1335
01:04:02,320 --> 01:04:04,520
Speaker 2: All right. I mean, look the World War three stuff.

1336
01:04:04,560 --> 01:04:07,200
Speaker 2: I actually think it would be better if he was

1337
01:04:07,560 --> 01:04:09,800
Speaker 2: campaigning on it more. You know, this is the other

1338
01:04:09,840 --> 01:04:12,320
Speaker 2: problem too, with the you you know, every time he's

1339
01:04:12,360 --> 01:04:15,920
Speaker 2: asked about Ukraine, Israel, or any of these other things, Afghanistan,

1340
01:04:16,080 --> 01:04:18,240
Speaker 2: it's always it never would have happened if it wasn't

1341
01:04:18,240 --> 01:04:21,720
Speaker 2: for me. And while I get that that's an attractive answer,

1342
01:04:22,000 --> 01:04:24,040
Speaker 2: at a certain point you kind of do need to

1343
01:04:24,040 --> 01:04:27,280
Speaker 2: have a little bit of detail or offer something, or

1344
01:04:27,320 --> 01:04:29,600
Speaker 2: offer because right now he's all over the map where

1345
01:04:29,600 --> 01:04:32,040
Speaker 2: you're pro Israel and on Afghanistan. He's like, well, I

1346
01:04:32,040 --> 01:04:34,200
Speaker 2: would have kept a base in Bagram. I'm like, well,

1347
01:04:34,200 --> 01:04:36,560
Speaker 2: then you never actually believed in ending the war in Afghanistan.

1348
01:04:36,680 --> 01:04:38,120
Speaker 2: Just so you know, in terms of what.

1349
01:04:38,040 --> 01:04:40,400
Speaker 3: That means, you're actually not answering Ukraine.

1350
01:04:40,440 --> 01:04:43,040
Speaker 2: He's like, Wellkraine. It's like, well, okay, well now what

1351
01:04:43,240 --> 01:04:45,280
Speaker 2: you know. You say that the deal will be ended.

1352
01:04:45,440 --> 01:04:46,920
Speaker 2: I mean the war will be ended by the time

1353
01:04:46,960 --> 01:04:49,120
Speaker 2: in President Like great, but you know what is that

1354
01:04:49,200 --> 01:04:51,320
Speaker 2: going to do entail? What if Putin doesn't agree to

1355
01:04:51,360 --> 01:04:53,120
Speaker 2: your deal? Then what is Ukraine ever going to be

1356
01:04:53,120 --> 01:04:55,240
Speaker 2: allowed in the NATO under your watch? Yes or no?

1357
01:04:55,320 --> 01:04:58,840
Speaker 2: I mean, these are all like questions that genuinely need answers.

1358
01:04:59,160 --> 01:05:02,480
Speaker 2: So look, I think being anti war in twenty sixteen,

1359
01:05:02,760 --> 01:05:05,880
Speaker 2: especially on Iraq, and in contrast to Jeb Bush and

1360
01:05:05,880 --> 01:05:08,560
Speaker 2: the rest of the party, was so effective, and I

1361
01:05:08,560 --> 01:05:10,960
Speaker 2: don't see that from him as much these days.

1362
01:05:11,440 --> 01:05:15,880
Speaker 1: Well, there's a real there's a real risk, like a

1363
01:05:15,920 --> 01:05:20,320
Speaker 1: real world risk. We talked about like foreign influence whatever,

1364
01:05:20,720 --> 01:05:22,920
Speaker 1: baby Natanya, who would much rather have Trump in the

1365
01:05:22,920 --> 01:05:25,920
Speaker 1: White House, And he's trying to drag us into a

1366
01:05:25,960 --> 01:05:30,560
Speaker 1: broader Middle Eastern like regional war as we speak, and

1367
01:05:30,640 --> 01:05:33,960
Speaker 1: has long desired that, but knows that would be a problem.

1368
01:05:33,680 --> 01:05:34,800
Speaker 3: For Kamala Harris.

1369
01:05:34,960 --> 01:05:38,360
Speaker 1: And you know, so while I don't think that this

1370
01:05:38,840 --> 01:05:41,560
Speaker 1: talking point from Trump, which again he's not anti war,

1371
01:05:41,640 --> 01:05:44,240
Speaker 1: I mean, you know, obviously there's layers and layers of

1372
01:05:44,240 --> 01:05:46,760
Speaker 1: propaganda here, et cetera. It's not even clear where he

1373
01:05:46,840 --> 01:05:48,840
Speaker 1: stands on a variety of these issues. It is clear

1374
01:05:48,880 --> 01:05:52,120
Speaker 1: that he's way like even more pro Israel somehow than

1375
01:05:52,200 --> 01:05:56,000
Speaker 1: Joe Biden is. But you know, this talking point, I

1376
01:05:56,000 --> 01:05:58,280
Speaker 1: don't think today wins the day. But if we find

1377
01:05:58,280 --> 01:06:02,840
Speaker 1: ourselves in some better, you know, conflict with Iran and

1378
01:06:02,920 --> 01:06:07,080
Speaker 1: flare up in the Middle East, which is surely you

1379
01:06:07,120 --> 01:06:09,120
Speaker 1: can lay the blame for that at the feet of

1380
01:06:09,400 --> 01:06:12,960
Speaker 1: Joe Biden and his vice president Kamala Harris, this talking

1381
01:06:13,000 --> 01:06:15,000
Speaker 1: point becomes much more salient.

1382
01:06:15,040 --> 01:06:17,680
Speaker 3: And there's a lot of risks, a lot of risks.

1383
01:06:17,400 --> 01:06:21,320
Speaker 1: Here, completely avoidable, you know, just focus on the politics,

1384
01:06:21,400 --> 01:06:25,040
Speaker 1: let alone the morality. Completely avoidable risks here that the

1385
01:06:25,120 --> 01:06:28,520
Speaker 1: longer that Biden has allowed bb to jerk his chain

1386
01:06:28,560 --> 01:06:31,120
Speaker 1: and do whatever the hell he wants with zero consequences,

1387
01:06:31,400 --> 01:06:32,800
Speaker 1: the more those risks escalating.

1388
01:06:32,840 --> 01:06:33,480
Speaker 3: That's where we are.

1389
01:06:36,360 --> 01:06:39,720
Speaker 1: So we had some new CNN polls come out across

1390
01:06:39,760 --> 01:06:42,000
Speaker 1: a variety of battleground states. Will show you the details

1391
01:06:42,000 --> 01:06:44,600
Speaker 1: of those in a second. David Challion, who's like their

1392
01:06:44,640 --> 01:06:50,280
Speaker 1: top like political guy.

1393
01:06:48,480 --> 01:06:51,640
Speaker 2: Biden was inaugurated. He's like you could feel the warm glow.

1394
01:06:52,480 --> 01:06:56,080
Speaker 3: The arms of the Capitol wrapping around whatever. Yet anyway,

1395
01:06:56,240 --> 01:06:56,680
Speaker 3: that's him.

1396
01:06:57,240 --> 01:06:59,840
Speaker 1: So he looked at some of the numbers in this

1397
01:07:00,320 --> 01:07:03,000
Speaker 1: and he said, there's some warning signs for Kamala Harris

1398
01:07:03,000 --> 01:07:07,920
Speaker 1: in terms of not fully reconsolidating the winning Biden coalition

1399
01:07:07,960 --> 01:07:08,600
Speaker 1: from twenty twenty.

1400
01:07:08,680 --> 01:07:10,360
Speaker 3: Let's take a listen to his analysis here.

1401
01:07:10,560 --> 01:07:14,000
Speaker 8: If you look at the white voters without college degrees,

1402
01:07:14,040 --> 01:07:18,240
Speaker 8: this is a Trump based constituency. Obviously, you see his

1403
01:07:18,440 --> 01:07:22,680
Speaker 8: huge numbers with this group. You see that this is

1404
01:07:22,720 --> 01:07:26,760
Speaker 8: a trouble sign for Harris. She also, in place like

1405
01:07:26,840 --> 01:07:30,320
Speaker 8: Georgia is not doing well with white college educated voters.

1406
01:07:30,720 --> 01:07:32,800
Speaker 8: She probably wants to make up some ground with white

1407
01:07:32,800 --> 01:07:35,520
Speaker 8: college educated voters across these battlegrounds as well.

1408
01:07:35,600 --> 01:07:37,840
Speaker 1: Gay so a couple of demographic groups or she still

1409
01:07:37,880 --> 01:07:39,400
Speaker 1: has some work to do. Let's go ahead and put

1410
01:07:39,480 --> 01:07:42,280
Speaker 1: up on the screen the actual poll numbers. So we

1411
01:07:42,280 --> 01:07:45,240
Speaker 1: can take a look battleground by battleground, and we have

1412
01:07:45,400 --> 01:07:46,920
Speaker 1: the electro map which I'll talk through.

1413
01:07:46,960 --> 01:07:48,320
Speaker 3: So just keep this up on the screen.

1414
01:07:48,600 --> 01:07:53,160
Speaker 1: So in most of these battleground states, Kamala Harris is up,

1415
01:07:53,280 --> 01:07:56,080
Speaker 1: so in Wisconsin, up by six, in Michigan up by five,

1416
01:07:56,240 --> 01:07:58,440
Speaker 1: in Georgia up by one, which is within the margin

1417
01:07:58,480 --> 01:08:00,520
Speaker 1: of aaron Nevada up by one with the marchin of

1418
01:08:00,560 --> 01:08:05,200
Speaker 1: era error, Pennsylvania tied, and then Arizona is the one

1419
01:08:05,200 --> 01:08:07,720
Speaker 1: where Trump has a clear lead plus five. So the

1420
01:08:07,760 --> 01:08:12,160
Speaker 1: map on the screen here represents Okay, if we gave Trump,

1421
01:08:12,240 --> 01:08:14,240
Speaker 1: it's tied in this bowl. Let's say we give Trump

1422
01:08:14,320 --> 01:08:18,519
Speaker 1: Pennsylvania and we give him Arizona and North Carolina. What

1423
01:08:18,680 --> 01:08:21,880
Speaker 1: does that map look like? And he actually needs one

1424
01:08:22,000 --> 01:08:24,880
Speaker 1: more state to be able to put himself over the top.

1425
01:08:25,360 --> 01:08:28,560
Speaker 1: This map reflected by the CNN polls. Again, assuming you

1426
01:08:28,640 --> 01:08:32,120
Speaker 1: give Pennsylvania, which is tied to Trump, has Kamala Harris

1427
01:08:32,120 --> 01:08:37,040
Speaker 1: getting two seventy three and Republicans getting too sixty five. Now,

1428
01:08:38,240 --> 01:08:41,040
Speaker 1: one of the things that we talked about earlier this week, Sager,

1429
01:08:41,240 --> 01:08:45,240
Speaker 1: is that the ad spending really looks like Trump is

1430
01:08:45,320 --> 01:08:50,679
Speaker 1: going all in on like a Pennsylvania, Georgia Arizona play,

1431
01:08:51,040 --> 01:08:53,000
Speaker 1: and that would be enough. You know, if he's able

1432
01:08:53,040 --> 01:08:55,320
Speaker 1: to Georgia in this poll, Harris only up by one.

1433
01:08:55,640 --> 01:08:58,559
Speaker 1: If you're able to have Georgia go in your column,

1434
01:08:58,600 --> 01:09:00,240
Speaker 1: that would be enough to put you over the time up.

1435
01:09:00,680 --> 01:09:03,000
Speaker 1: But it's kind of the reverse of where the Democrats

1436
01:09:03,000 --> 01:09:05,559
Speaker 1: were under Joe Biden. Under Joe Biden, they had this

1437
01:09:05,800 --> 01:09:09,720
Speaker 1: very narrow, probably non existent, but very narrow path that

1438
01:09:09,760 --> 01:09:14,080
Speaker 1: they were attempting to pull off of keeping together Pennsylvania, Michigan, Wisconsin,

1439
01:09:14,160 --> 01:09:18,880
Speaker 1: because he maintained some strength with those industrial Midwestern states

1440
01:09:18,880 --> 01:09:23,040
Speaker 1: that have a larger white voting base, older white voting base.

1441
01:09:23,560 --> 01:09:27,479
Speaker 1: They had this really narrow, very specific path. Trump's path

1442
01:09:27,520 --> 01:09:31,280
Speaker 1: has with Kamala Harris and now narrowed significantly, where now

1443
01:09:31,439 --> 01:09:33,599
Speaker 1: they're the ones that are charting this sort of narrow

1444
01:09:33,720 --> 01:09:36,120
Speaker 1: electoral college victory. Now that doesn't mean they can't pull

1445
01:09:36,120 --> 01:09:38,599
Speaker 1: it off, but in a lot of ways the tables

1446
01:09:38,600 --> 01:09:43,040
Speaker 1: have turned in terms of the expansiveness we'll say, of

1447
01:09:43,080 --> 01:09:45,400
Speaker 1: the map and the way the various combinations of getting

1448
01:09:45,400 --> 01:09:46,000
Speaker 1: to two seventies.

1449
01:09:46,080 --> 01:09:48,839
Speaker 2: Yes, let's keep this up there, please, because it's actually important.

1450
01:09:49,200 --> 01:09:50,840
Speaker 2: One of the things you learn is that in the

1451
01:09:50,880 --> 01:09:54,679
Speaker 2: Senate races that Democrats are running way ahead of Kamala Harris.

1452
01:09:54,720 --> 01:09:57,439
Speaker 2: That's bad news for Kamala, but it's also bad news

1453
01:09:57,479 --> 01:10:02,240
Speaker 2: for Trump because in general, split ticket voting is so rare. Nevada,

1454
01:10:02,320 --> 01:10:04,639
Speaker 2: for example, we would have to believe that there are

1455
01:10:04,760 --> 01:10:07,799
Speaker 2: nine percent of the electorate that would vote for Jackie

1456
01:10:07,840 --> 01:10:10,880
Speaker 2: Rosen and then not vote for Kamala Harris. So either

1457
01:10:10,960 --> 01:10:14,040
Speaker 2: that's wrong, Democrats are just going to win by five

1458
01:10:14,160 --> 01:10:16,040
Speaker 2: or something like that, or Trump is just going to

1459
01:10:16,120 --> 01:10:18,559
Speaker 2: win and that number is totally incorrect. And so that's

1460
01:10:18,560 --> 01:10:23,280
Speaker 2: something that you should really bake in here. The analysis. Look,

1461
01:10:23,320 --> 01:10:26,240
Speaker 2: I get that, the pull looks you know this, This

1462
01:10:26,240 --> 01:10:30,760
Speaker 2: this scenario is very intellectually intriguing. I just find it

1463
01:10:31,160 --> 01:10:34,320
Speaker 2: so difficult to believe that Donald Trump could win the

1464
01:10:34,360 --> 01:10:39,040
Speaker 2: state of Pennsylvania, lose Michigan and Wisconsin, lose the state

1465
01:10:39,120 --> 01:10:41,880
Speaker 2: of Georgia, win the state of Arizona, and then also

1466
01:10:42,360 --> 01:10:45,439
Speaker 2: lose the state of Nevada. Like to me, the swing

1467
01:10:45,600 --> 01:10:48,840
Speaker 2: voter in Arizona and Nevada is the exact same. The

1468
01:10:48,840 --> 01:10:52,800
Speaker 2: swing voter is probably you know a white or Latino

1469
01:10:52,960 --> 01:10:57,280
Speaker 2: male who is roughly the same demographic and roughly the

1470
01:10:57,360 --> 01:11:02,040
Speaker 2: same economic status. Say, if I look at Georgia in Arizona,

1471
01:11:02,080 --> 01:11:05,240
Speaker 2: they have a lot of characteristics that they share. For example,

1472
01:11:05,920 --> 01:11:08,960
Speaker 2: it's those white suburban voters in Atlanta and the white

1473
01:11:09,000 --> 01:11:12,200
Speaker 2: suburban voters in Phoenix, which are the ones who swung

1474
01:11:12,240 --> 01:11:15,760
Speaker 2: the vote for Biden last time around. And then in Pennsylvania.

1475
01:11:16,120 --> 01:11:20,559
Speaker 2: I mean, the same demographic that turned against Trump in Wisgon,

1476
01:11:21,040 --> 01:11:24,880
Speaker 2: in Wisconsin and in Michigan is exactly which turned against him.

1477
01:11:24,920 --> 01:11:29,680
Speaker 2: In Pennsylvania. It was in the mainline suburbs of Philadelphia

1478
01:11:29,880 --> 01:11:32,280
Speaker 2: where white suburban voters all came out to vote. So

1479
01:11:32,520 --> 01:11:35,360
Speaker 2: what I'm saying is that it's the same demographic basically

1480
01:11:35,400 --> 01:11:38,439
Speaker 2: across all of these places. Where you know, why would

1481
01:11:38,439 --> 01:11:40,559
Speaker 2: they be all that different in one state and not

1482
01:11:40,640 --> 01:11:43,439
Speaker 2: the other. Now, of course margins matter, right, so you know,

1483
01:11:43,680 --> 01:11:46,920
Speaker 2: theoretically it is certainly possible. I just find it hard

1484
01:11:46,920 --> 01:11:50,240
Speaker 2: to believe, especially Pennsylvania, Michigan, Wisconsin. I mean, this is

1485
01:11:50,280 --> 01:11:52,280
Speaker 2: the same type of voter. Yeah, and every single you know,

1486
01:11:52,320 --> 01:11:55,240
Speaker 2: in all cases they share the exact same demographic profile.

1487
01:11:55,439 --> 01:11:59,800
Speaker 1: Yeah. I tend to agree with that it's just the

1488
01:12:00,000 --> 01:12:03,080
Speaker 1: elections are so national now, all of these states tend

1489
01:12:03,120 --> 01:12:05,400
Speaker 1: to trend in the same direction. That's why, you know,

1490
01:12:05,520 --> 01:12:07,760
Speaker 1: Joe Biden, even though it was razor thin in a

1491
01:12:07,800 --> 01:12:10,519
Speaker 1: number of these states, he wins basically all the swing

1492
01:12:10,520 --> 01:12:14,160
Speaker 1: states last time around by narrow margins. They all sort

1493
01:12:14,200 --> 01:12:17,280
Speaker 1: of swing in the same direction. So I think that

1494
01:12:17,400 --> 01:12:18,920
Speaker 1: is true. The one thing you could say is the

1495
01:12:18,920 --> 01:12:21,519
Speaker 1: sun Belt demographics a little different than the industrial Midwestern,

1496
01:12:21,600 --> 01:12:24,600
Speaker 1: so you could see, you know, somebody out performing in

1497
01:12:24,600 --> 01:12:26,679
Speaker 1: one area but not the other. But yeah, I mostly

1498
01:12:26,680 --> 01:12:29,320
Speaker 1: think that these elections are pretty national and tend to

1499
01:12:29,880 --> 01:12:32,000
Speaker 1: you know, people come up with all these like exotic

1500
01:12:32,080 --> 01:12:34,160
Speaker 1: potential electoral maps, and I just think.

1501
01:12:34,080 --> 01:12:35,559
Speaker 3: That's why I'm fairly, fairly unlikely.

1502
01:12:35,640 --> 01:12:37,400
Speaker 2: I'm like, you either win or you lose. Like it's

1503
01:12:37,680 --> 01:12:39,920
Speaker 2: it's like you're either going to win white suburbanites. And

1504
01:12:39,920 --> 01:12:42,680
Speaker 2: that's the other thing in the national environment that we

1505
01:12:42,720 --> 01:12:45,040
Speaker 2: have today. You know, everyone talks about how we're so divided,

1506
01:12:45,120 --> 01:12:47,360
Speaker 2: and it is true politically, but we're also more connected

1507
01:12:47,400 --> 01:12:50,719
Speaker 2: than literally ever before. Yeah, media diet, Like the average

1508
01:12:50,720 --> 01:12:54,080
Speaker 2: white suburbanite living in any place in the country, they're

1509
01:12:54,080 --> 01:12:56,960
Speaker 2: all reading the same newspaper. They're all reading the New

1510
01:12:57,040 --> 01:12:59,439
Speaker 2: York Times, they're all listening to the New York Times,

1511
01:12:59,479 --> 01:13:02,600
Speaker 2: the Daily podcast or the Interview, same thing. Like the

1512
01:13:02,680 --> 01:13:06,160
Speaker 2: working class voter, they're probably getting stuff on YouTube or

1513
01:13:06,479 --> 01:13:08,960
Speaker 2: you know, on podcasts or listening, you know, to the

1514
01:13:08,960 --> 01:13:11,280
Speaker 2: extent that they interact with their local stuff at all.

1515
01:13:11,360 --> 01:13:14,839
Speaker 2: It's not politics. So I just find it very difficult

1516
01:13:14,840 --> 01:13:17,439
Speaker 2: to believe, given where we are right now, that you

1517
01:13:17,439 --> 01:13:20,360
Speaker 2: know you'll swing one way and then lose another. But

1518
01:13:20,760 --> 01:13:23,960
Speaker 2: you know, again, the margins do matter. So theoretically you

1519
01:13:24,000 --> 01:13:26,320
Speaker 2: could win Pennsylvan. How much do you win Wisconsin by

1520
01:13:26,560 --> 01:13:28,439
Speaker 2: in twenty sixteen it was like ten thousand votes. No,

1521
01:13:28,479 --> 01:13:30,880
Speaker 2: I'm thinking of Michigan. Michigan one, Michigan by tenth thousand.

1522
01:13:30,880 --> 01:13:32,960
Speaker 2: So yeah, theoretically you could lose in Michigan and you

1523
01:13:33,000 --> 01:13:35,439
Speaker 2: could win a Wisconsin. I could see something like that.

1524
01:13:35,479 --> 01:13:38,360
Speaker 2: But Pennsylvania and then also losing Georgia. I don't know

1525
01:13:38,400 --> 01:13:41,679
Speaker 2: about that. I just I find it difficult to believe.

1526
01:13:41,680 --> 01:13:43,600
Speaker 2: But in general, I think we should highlight that, you know,

1527
01:13:43,640 --> 01:13:46,920
Speaker 2: things are not as rosy for Kamala as as some

1528
01:13:46,960 --> 01:13:47,880
Speaker 2: people may think.

1529
01:13:48,000 --> 01:13:50,120
Speaker 3: The margin in Michigan was a little larger than your think.

1530
01:13:50,240 --> 01:13:53,719
Speaker 1: It was two point seven eight percent, so almost three

1531
01:13:53,760 --> 01:13:57,320
Speaker 1: percent of the vote twenty sixteen. Oh you think twenty sixteen?

1532
01:13:57,400 --> 01:13:59,800
Speaker 1: Oh okay, yeah, Biden got two point eight million. Trump

1533
01:13:59,840 --> 01:14:02,360
Speaker 1: got two point sixty five million, so it was rough

1534
01:14:02,960 --> 01:14:06,120
Speaker 1: hundred and fifty thousand vote separating the two of them.

1535
01:14:06,360 --> 01:14:07,759
Speaker 3: Let's put this next peece up on the screens.

1536
01:14:07,880 --> 01:14:13,360
Speaker 1: Is gen Z specific poll by NBC News. So has

1537
01:14:13,439 --> 01:14:17,519
Speaker 1: Kamala Harris winning fifty percent, Trump at thirty four percent,

1538
01:14:17,600 --> 01:14:20,679
Speaker 1: someone else at six percent, and would not vote at

1539
01:14:20,880 --> 01:14:24,400
Speaker 1: ten percent. These are much better numbers than what Joe

1540
01:14:24,439 --> 01:14:26,439
Speaker 1: Biden was doing when he was in the race.

1541
01:14:26,880 --> 01:14:29,520
Speaker 3: However, it still.

1542
01:14:28,840 --> 01:14:33,759
Speaker 1: Lags by a bit what Joe Biden did in twenty twenty.

1543
01:14:34,000 --> 01:14:35,800
Speaker 1: So on the one hand, you can say, okay, she's

1544
01:14:35,880 --> 01:14:39,799
Speaker 1: underperforming what he did and obviously every vote was really.

1545
01:14:39,640 --> 01:14:40,960
Speaker 3: Crucial to get him over the top.

1546
01:14:41,200 --> 01:14:42,800
Speaker 1: On the other hand, you could say, okay, well, maybe

1547
01:14:42,800 --> 01:14:44,920
Speaker 1: she has room to grow here that could benefit her

1548
01:14:45,040 --> 01:14:45,719
Speaker 1: later in the election.

1549
01:14:45,800 --> 01:14:46,559
Speaker 3: We'll have to see.

1550
01:14:46,840 --> 01:14:48,800
Speaker 1: The other thing soager here that we've taken note of

1551
01:14:48,800 --> 01:14:52,320
Speaker 1: a few times is the gender gap with gen Z

1552
01:14:52,400 --> 01:14:56,280
Speaker 1: voters is pretty wild. It's bigger than any other demographic

1553
01:14:56,800 --> 01:14:59,760
Speaker 1: group by age, Young women say they're going to vote

1554
01:14:59,760 --> 01:15:04,200
Speaker 1: for him RS by thirty points. Young men only favor

1555
01:15:04,240 --> 01:15:07,360
Speaker 1: her by four. Yep, this is eighteen to twenty nine.

1556
01:15:07,880 --> 01:15:10,600
Speaker 1: That isn't I mean, we're used to gender gaps in

1557
01:15:10,640 --> 01:15:14,639
Speaker 1: American politics in modern history. That's nothing new, but this

1558
01:15:14,760 --> 01:15:19,280
Speaker 1: level of a generational gender gap is really pretty wild.

1559
01:15:19,360 --> 01:15:21,000
Speaker 2: Yeah, I mean, I hate to say I told you so.

1560
01:15:21,040 --> 01:15:22,599
Speaker 2: I don't think this is good for the country, but

1561
01:15:22,720 --> 01:15:27,600
Speaker 2: it's it's just an ongoing dynamic, especially with the bifurcation

1562
01:15:27,680 --> 01:15:31,160
Speaker 2: of culture and education is probably the most important one,

1563
01:15:31,280 --> 01:15:34,439
Speaker 2: you know. I can't wait until the admission stats, the

1564
01:15:34,479 --> 01:15:37,680
Speaker 2: matriculation stats come out for college this year because the

1565
01:15:37,760 --> 01:15:41,719
Speaker 2: current prediction on online ed boards is a sixty forty

1566
01:15:41,760 --> 01:15:45,280
Speaker 2: split of girls women women. I mean, I mean, sorry,

1567
01:15:45,360 --> 01:15:49,000
Speaker 2: girls to men. It's wild, Like that's so much bigger.

1568
01:15:49,040 --> 01:15:50,559
Speaker 2: And then if you think about what the Ivy League

1569
01:15:50,600 --> 01:15:54,120
Speaker 2: split is in the IVS and who matter because they

1570
01:15:54,160 --> 01:15:57,600
Speaker 2: eventually become the American elite, it's already sixty forty. It

1571
01:15:57,640 --> 01:15:59,640
Speaker 2: could go sixty six to thirty three, which would be

1572
01:15:59,680 --> 01:16:03,800
Speaker 2: if one third ratios like that just skew everything. They

1573
01:16:03,880 --> 01:16:07,280
Speaker 2: skew all of our politics culture, earning potential, et cetera.

1574
01:16:07,439 --> 01:16:10,519
Speaker 2: It's not necessarily a good thing. We're gonna put D

1575
01:16:10,600 --> 01:16:12,439
Speaker 2: four up on the screen and just look at the

1576
01:16:12,640 --> 01:16:16,920
Speaker 2: Nate Silver. Something he's saying is quote setting convention bound

1577
01:16:16,920 --> 01:16:20,639
Speaker 2: stuff aside, there has been not much positive state pulling

1578
01:16:20,720 --> 01:16:24,160
Speaker 2: data entering the system for Kamala Harris lately, and his

1579
01:16:24,200 --> 01:16:27,479
Speaker 2: own projection actually lately has what is it, Trump at

1580
01:16:27,520 --> 01:16:32,879
Speaker 2: fifty five percent in terms of winning the overall electoral college.

1581
01:16:33,120 --> 01:16:37,120
Speaker 2: If you look at Polymarket, which is the largest betting site,

1582
01:16:37,200 --> 01:16:40,120
Speaker 2: they currently have it at Trump fifty three percent, Kamala

1583
01:16:40,200 --> 01:16:43,280
Speaker 2: up forty six, which is I mean much, that's almost

1584
01:16:43,320 --> 01:16:45,960
Speaker 2: what That's a seven point swing of Trump to Kamala,

1585
01:16:46,040 --> 01:16:48,479
Speaker 2: and that largely tracks Nate Silver. I do believe, by

1586
01:16:48,479 --> 01:16:50,759
Speaker 2: the way, Silver is an advisor to Polymarket. I didn't

1587
01:16:50,760 --> 01:16:52,560
Speaker 2: know that until I read his book, but yeah, it

1588
01:16:52,640 --> 01:16:53,439
Speaker 2: did stright like that.

1589
01:16:54,080 --> 01:16:59,360
Speaker 1: Just saying yeah, So that's why in Nate's analysis, that's

1590
01:16:59,400 --> 01:17:02,120
Speaker 1: part of why you know, with his model, which you know,

1591
01:17:02,280 --> 01:17:04,679
Speaker 1: take it for what it's worth, but he has Kamala

1592
01:17:04,720 --> 01:17:08,200
Speaker 1: Harris ahead in the popular vote, but he favors Trump

1593
01:17:08,720 --> 01:17:11,960
Speaker 1: in the electoral college vote and these you know, swing

1594
01:17:11,960 --> 01:17:14,760
Speaker 1: state poles that have been sort of mediocre for her

1595
01:17:15,040 --> 01:17:17,800
Speaker 1: post convention are a piece of that. And then also

1596
01:17:17,920 --> 01:17:21,000
Speaker 1: his model kind of discounts the polls that come right

1597
01:17:21,040 --> 01:17:24,559
Speaker 1: after convention because they assume there's some level of temporary

1598
01:17:24,600 --> 01:17:27,720
Speaker 1: sugar high post convention, which we have really particularly seen

1599
01:17:27,800 --> 01:17:31,080
Speaker 1: for her. The poles have basically been stable. So does

1600
01:17:31,160 --> 01:17:33,280
Speaker 1: that mean that they're overstating her support and they you

1601
01:17:33,320 --> 01:17:35,519
Speaker 1: know they're going to come down? Does that mean that

1602
01:17:35,600 --> 01:17:37,400
Speaker 1: this race is just kind of like locked in where

1603
01:17:37,400 --> 01:17:40,040
Speaker 1: it is? And his convention didn't provide a bounce, They

1604
01:17:40,040 --> 01:17:43,000
Speaker 1: were extenuating circumstances there, but her convention also doesn't seem

1605
01:17:43,040 --> 01:17:45,000
Speaker 1: to provide a bounce. Maybe people are just kind of

1606
01:17:45,040 --> 01:17:47,599
Speaker 1: locked into whatever it's going to be. We shall see,

1607
01:17:47,640 --> 01:17:48,800
Speaker 1: but that's where things stand.

1608
01:17:51,600 --> 01:17:56,080
Speaker 2: Let's move on now, Aurora, Colorado. Many boomers are very

1609
01:17:56,200 --> 01:17:58,320
Speaker 2: very upset about this, and it's taken quite a bit

1610
01:17:58,360 --> 01:18:00,759
Speaker 2: of research to figure out what the hell is actually

1611
01:18:01,200 --> 01:18:04,800
Speaker 2: going on here. So all started with this viral video.

1612
01:18:05,000 --> 01:18:07,000
Speaker 2: Let's put it up there on the screen. What you

1613
01:18:07,040 --> 01:18:10,240
Speaker 2: see in front of you were what was alleged to

1614
01:18:10,280 --> 01:18:14,800
Speaker 2: be quote, armed Venezuelan gangs taking over whole buildings and

1615
01:18:14,920 --> 01:18:19,679
Speaker 2: vandalizing public properties in Aurora, Colorado, just outside of Denver.

1616
01:18:20,000 --> 01:18:24,600
Speaker 2: These were allegedly members of a Venezuelan gang who were migrants,

1617
01:18:24,760 --> 01:18:28,520
Speaker 2: illegal migrants to the United States, and that this complex

1618
01:18:28,600 --> 01:18:31,559
Speaker 2: was allegedly fully taken over by these people. You could

1619
01:18:31,560 --> 01:18:34,439
Speaker 2: see that they have large weapons in their hands, and

1620
01:18:34,640 --> 01:18:38,960
Speaker 2: there was quite a bit of consternation wondering whether this

1621
01:18:39,120 --> 01:18:42,240
Speaker 2: was like a full on takeover and this was like chaired.

1622
01:18:41,960 --> 01:18:44,400
Speaker 1: By Charlie Kirk, amplified by Elon Musk.

1623
01:18:44,600 --> 01:18:47,240
Speaker 2: It was a whole thing. It went everywhere than so

1624
01:18:47,600 --> 01:18:50,680
Speaker 2: next then came the parsing of the details. So there

1625
01:18:50,680 --> 01:18:54,400
Speaker 2: were conflicting statements initially from the mayor, from the city

1626
01:18:54,560 --> 01:18:57,200
Speaker 2: and from the police department. So we've learned now here

1627
01:18:57,360 --> 01:19:01,320
Speaker 2: from the interim Chief of Police, Heather more Rus, she says, quote,

1628
01:19:01,360 --> 01:19:03,720
Speaker 2: what we're learning out here is that gang members have

1629
01:19:03,880 --> 01:19:06,400
Speaker 2: not taken over this complex. Let's take a listen.

1630
01:19:06,560 --> 01:19:08,559
Speaker 9: Got quite a few of our officers out here that

1631
01:19:08,640 --> 01:19:10,680
Speaker 9: are out here tonight. Again. I've been out here for

1632
01:19:10,720 --> 01:19:14,559
Speaker 9: several weeks making contact with our residents, reassuring them about

1633
01:19:14,560 --> 01:19:16,880
Speaker 9: the criminal activity that's happening here and how we're going

1634
01:19:16,880 --> 01:19:18,960
Speaker 9: to address it. We're out here. We want to reassure

1635
01:19:19,120 --> 01:19:21,920
Speaker 9: the people that live in this community that we are

1636
01:19:21,960 --> 01:19:25,200
Speaker 9: actively investigating criminal activity that's happening and listening to them

1637
01:19:25,479 --> 01:19:28,120
Speaker 9: to so that we can learn anything that we're missing,

1638
01:19:28,200 --> 01:19:30,000
Speaker 9: you know, what are we missing and actually find out

1639
01:19:30,080 --> 01:19:33,840
Speaker 9: what exactly is going on. We're out here because we care.

1640
01:19:34,240 --> 01:19:36,400
Speaker 9: I mean, nobody should be wearing this uniform if they

1641
01:19:36,400 --> 01:19:38,479
Speaker 9: don't care, and we want the residents and the people

1642
01:19:38,479 --> 01:19:40,479
Speaker 9: that live here that know that we care. We've been

1643
01:19:40,479 --> 01:19:43,559
Speaker 9: talking to the residents here and learning from them to

1644
01:19:43,560 --> 01:19:46,480
Speaker 9: find out what exactly is going on, and there's definitely

1645
01:19:46,560 --> 01:19:49,200
Speaker 9: a different picture. I'm not saying that there's not gang

1646
01:19:49,240 --> 01:19:52,639
Speaker 9: members that don't live in this community, but what we're

1647
01:19:52,720 --> 01:19:55,320
Speaker 9: learning out here is that gang members have not taken

1648
01:19:55,360 --> 01:19:58,080
Speaker 9: over this complex. We've really made an effort to the

1649
01:19:58,200 --> 01:20:01,280
Speaker 9: last few days to just realiz asked the specific questions

1650
01:20:01,280 --> 01:20:05,680
Speaker 9: and the direct questions in terms of the gang activity

1651
01:20:05,880 --> 01:20:10,000
Speaker 9: and who's actually making sure that people aren't paying rent

1652
01:20:10,040 --> 01:20:13,160
Speaker 9: to gang leaders or gang members that that's not happening.

1653
01:20:13,280 --> 01:20:15,960
Speaker 9: And we've discovered here today and talked in yesterday talking

1654
01:20:15,960 --> 01:20:19,120
Speaker 9: to somebody residents that that's not the case we've been

1655
01:20:19,160 --> 01:20:21,439
Speaker 9: talking about, and they've been since here with this. We

1656
01:20:21,800 --> 01:20:24,680
Speaker 9: really believe that they are sincere with this, and we're

1657
01:20:24,720 --> 01:20:27,599
Speaker 9: standing out here and I can tell you that gang

1658
01:20:27,640 --> 01:20:29,479
Speaker 9: members have not taken over this apartment complex.

1659
01:20:29,880 --> 01:20:32,439
Speaker 2: Okay, that's the police chief. Let's put the next part

1660
01:20:32,520 --> 01:20:36,000
Speaker 2: up on the screen. It reiterates this is from USA today.

1661
01:20:36,439 --> 01:20:39,320
Speaker 2: What they say is not only reiterating many of the

1662
01:20:39,400 --> 01:20:42,080
Speaker 2: quotes that we just heard from the interim police chief.

1663
01:20:42,160 --> 01:20:45,439
Speaker 2: They also flag this. They say, quote rumors of the

1664
01:20:45,479 --> 01:20:48,760
Speaker 2: complex being run by the trend de Aragua gang is

1665
01:20:48,800 --> 01:20:52,479
Speaker 2: a large criminal organization from Venezuela, began circulating when that

1666
01:20:52,600 --> 01:20:55,320
Speaker 2: video of men carrying guns and entering apartments went viral.

1667
01:20:55,479 --> 01:20:58,240
Speaker 2: The Department of Homeland Security then confirmed news nations that

1668
01:20:58,320 --> 01:21:02,080
Speaker 2: the men see in the video were trend Agua members.

1669
01:21:02,280 --> 01:21:04,880
Speaker 2: The city of Aurora confirmed that there is quote a

1670
01:21:05,000 --> 01:21:08,320
Speaker 2: small trend at Agua presence in Aurora, and the police

1671
01:21:08,320 --> 01:21:11,479
Speaker 2: department has been taking it seriously. Now, though they say

1672
01:21:11,520 --> 01:21:14,240
Speaker 2: there has been a lot of misleading information shared about

1673
01:21:14,240 --> 01:21:17,600
Speaker 2: what is happening in our city. I believe, Crystal, that

1674
01:21:17,640 --> 01:21:21,759
Speaker 2: a lot of this stems back to the Colorado Aurora mayor.

1675
01:21:22,240 --> 01:21:25,600
Speaker 2: Mayor Kaufman, who is one of the people who reacted

1676
01:21:25,640 --> 01:21:28,760
Speaker 2: to this by going on Fox News and implying that

1677
01:21:28,800 --> 01:21:30,679
Speaker 2: this was taken over. Let's take a listen.

1678
01:21:30,920 --> 01:21:33,240
Speaker 10: Can you confirm whether or not this gang has taken

1679
01:21:33,280 --> 01:21:35,120
Speaker 10: over these buildings there in Aurora.

1680
01:21:36,800 --> 01:21:39,639
Speaker 11: So there are several buildings actually under the same ownership,

1681
01:21:39,680 --> 01:21:44,599
Speaker 11: out of state ownership, that have fallen to these Venezuelan gangs.

1682
01:21:45,680 --> 01:21:49,080
Speaker 11: I'm trying to walk it back and do the investigation

1683
01:21:49,280 --> 01:21:54,960
Speaker 11: as to how there's a concentration of Venezuelan's in these

1684
01:21:55,240 --> 01:22:00,080
Speaker 11: these three buildings. Somebody put them there, and somebody funded it,

1685
01:22:00,840 --> 01:22:03,040
Speaker 11: whether it's federal government or not. We're trying to find

1686
01:22:03,080 --> 01:22:07,160
Speaker 11: out who these gangs apparently or are attracted to where

1687
01:22:07,200 --> 01:22:11,960
Speaker 11: there's a concentration of of Venezuela migrants and so UH

1688
01:22:12,000 --> 01:22:14,880
Speaker 11: they've in fact have kind of pushed out the property

1689
01:22:14,920 --> 01:22:18,840
Speaker 11: management through intimidation and then collected the rents. UH we

1690
01:22:19,040 --> 01:22:24,600
Speaker 11: have now or have had. UH. It is ongoing UH

1691
01:22:24,680 --> 01:22:31,160
Speaker 11: operations with a task force of local law enforcement, state

1692
01:22:31,439 --> 01:22:35,439
Speaker 11: UH law enforcement partners, and federal law enforcement partners to

1693
01:22:35,520 --> 01:22:38,680
Speaker 11: write the market and arrests have been made. But these

1694
01:22:38,720 --> 01:22:40,400
Speaker 11: operations are now are still.

1695
01:22:40,120 --> 01:22:43,080
Speaker 10: Ongoing with the arrests that have been made. Are these

1696
01:22:43,120 --> 01:22:46,000
Speaker 10: confirmed gang affiliated members?

1697
01:22:47,320 --> 01:22:51,559
Speaker 11: You know they this is an organized criminal effort. Whether

1698
01:22:51,560 --> 01:22:56,000
Speaker 11: it's trendy arragua, uh, that remains to be to be seen.

1699
01:22:56,080 --> 01:22:59,519
Speaker 11: But that really doesn't matter. I mean, if they're, if they're,

1700
01:22:59,560 --> 01:23:02,719
Speaker 11: you know, there's way when migrants and in their conducting

1701
01:23:02,720 --> 01:23:04,080
Speaker 11: crime and organized underside.

1702
01:23:04,439 --> 01:23:08,280
Speaker 1: So yeah, he since changes tune after this interview. He

1703
01:23:08,840 --> 01:23:11,479
Speaker 1: totally changed his story. He says, those people that came

1704
01:23:11,520 --> 01:23:13,559
Speaker 1: and talked to me he's talking about residents of the

1705
01:23:13,560 --> 01:23:16,880
Speaker 1: building themselves, didn't seem fearful. Quite frankly, they gave a

1706
01:23:16,880 --> 01:23:19,080
Speaker 1: lot of explanation as to why they weren't paying rent.

1707
01:23:19,320 --> 01:23:21,280
Speaker 3: There wasn't the property management there.

1708
01:23:21,360 --> 01:23:23,040
Speaker 1: I thought that the people who were the so called

1709
01:23:23,080 --> 01:23:25,040
Speaker 1: gang members again this is all that say Mayry it

1710
01:23:25,120 --> 01:23:27,680
Speaker 1: has heard, were extracting the rent from them. But the

1711
01:23:27,680 --> 01:23:29,160
Speaker 1: people that came up to me said that was not

1712
01:23:29,320 --> 01:23:31,120
Speaker 1: the case. They wanted to stay there, but they wanted

1713
01:23:31,160 --> 01:23:34,400
Speaker 1: the place maintain. He believes the property managers were chased

1714
01:23:34,439 --> 01:23:36,920
Speaker 1: off the premises. What we need to do is figure

1715
01:23:36,920 --> 01:23:38,439
Speaker 1: out how to bring it back under the control to

1716
01:23:38,479 --> 01:23:41,120
Speaker 1: owner the property and so there's a meeting with representatives

1717
01:23:41,120 --> 01:23:43,320
Speaker 1: of the owners on Thursday, all but participating. I think

1718
01:23:43,320 --> 01:23:46,200
Speaker 1: there's a pattern on all these properties. I'm going to

1719
01:23:46,280 --> 01:23:49,320
Speaker 1: be blunt. It's an out of state slum lord and

1720
01:23:49,439 --> 01:23:51,240
Speaker 1: hasn't maintained the properties.

1721
01:23:51,600 --> 01:23:52,599
Speaker 3: And that okay.

1722
01:23:52,680 --> 01:23:57,920
Speaker 1: So the police chief, the resident deep, the mayor, all

1723
01:23:57,960 --> 01:24:01,640
Speaker 1: of the other city officials and laboring Denver mayor and

1724
01:24:01,680 --> 01:24:07,160
Speaker 1: city officials as well now are all saying this building

1725
01:24:07,200 --> 01:24:09,840
Speaker 1: is run by an out of states slum lord. The

1726
01:24:09,960 --> 01:24:13,880
Speaker 1: residents are complaining about trash that hasn't been picked up

1727
01:24:13,920 --> 01:24:14,439
Speaker 1: for weeks.

1728
01:24:14,840 --> 01:24:16,080
Speaker 3: This slum lord has.

1729
01:24:16,000 --> 01:24:19,599
Speaker 1: Already been indicted on charges with regard to not maintaining

1730
01:24:19,640 --> 01:24:22,320
Speaker 1: another apartment building where the sewage was backed up, the

1731
01:24:22,360 --> 01:24:25,920
Speaker 1: trash wasn't picked up. We're talking rodents, we're talking infestations.

1732
01:24:26,120 --> 01:24:29,080
Speaker 1: The residents did their own press conference laying all of

1733
01:24:29,120 --> 01:24:33,360
Speaker 1: this out, and this slumlord hired a pr firm to

1734
01:24:33,439 --> 01:24:36,479
Speaker 1: basically push these claims to try to get out of

1735
01:24:36,520 --> 01:24:40,040
Speaker 1: these charges that he's already facing in court. So at

1736
01:24:40,040 --> 01:24:42,280
Speaker 1: this point it's pretty clear what happened. Since you have

1737
01:24:42,720 --> 01:24:45,519
Speaker 1: the mayor, who's a Republican by the way, Republican mayor

1738
01:24:45,680 --> 01:24:48,360
Speaker 1: and the city officials and the police chief and the

1739
01:24:48,400 --> 01:24:51,160
Speaker 1: residents all saying this is not at all what's happening.

1740
01:24:51,240 --> 01:24:53,200
Speaker 1: This is about a slum lord trying to get out

1741
01:24:53,200 --> 01:24:56,040
Speaker 1: of maintaining the property that we are paying thousands of

1742
01:24:56,040 --> 01:24:57,400
Speaker 1: dollars in rent to live in.

1743
01:24:57,520 --> 01:25:00,360
Speaker 2: We have E five please up on the screen. This

1744
01:25:00,439 --> 01:25:02,840
Speaker 2: is from the local press and it references of what

1745
01:25:02,840 --> 01:25:05,519
Speaker 2: you were saying. The residents at that complex state, deplorable

1746
01:25:05,520 --> 01:25:10,599
Speaker 2: issues are the cadooral conditions are the issue, not the gangs.

1747
01:25:10,640 --> 01:25:12,840
Speaker 2: They said, quote they are trying to put us along

1748
01:25:12,960 --> 01:25:14,680
Speaker 2: one group and all in one bag. They're trying to

1749
01:25:14,680 --> 01:25:17,160
Speaker 2: say that their delinquents their criminals here, There are moms,

1750
01:25:17,160 --> 01:25:20,719
Speaker 2: there are families. They did I believe acknowledge that there

1751
01:25:20,680 --> 01:25:23,320
Speaker 2: was like criminals that had been there. But they were like,

1752
01:25:23,360 --> 01:25:26,400
Speaker 2: that is not the fundamental issues. So okay, let's step back,

1753
01:25:26,439 --> 01:25:29,920
Speaker 2: like why did this all become a major conflagration. So

1754
01:25:30,320 --> 01:25:33,880
Speaker 2: this is part of actually references our original eight block

1755
01:25:34,400 --> 01:25:38,000
Speaker 2: is you cannot just simply believe everything you put out there,

1756
01:25:38,040 --> 01:25:41,799
Speaker 2: and you know, none of this whitewash is concerns about migrants.

1757
01:25:41,840 --> 01:25:46,120
Speaker 2: You know from the Denver Post forty three thousand Venezuelan

1758
01:25:46,200 --> 01:25:50,120
Speaker 2: migrants have arrived in the Denver area since January of

1759
01:25:50,160 --> 01:25:52,080
Speaker 2: twenty twenty three, and they don't even need to be

1760
01:25:52,080 --> 01:25:54,040
Speaker 2: committing crime for me to say that's crazy.

1761
01:25:54,040 --> 01:25:56,639
Speaker 3: And do you know what has happened with crime?

1762
01:25:56,840 --> 01:25:58,000
Speaker 2: What it drops?

1763
01:25:58,360 --> 01:25:59,479
Speaker 3: It dropped twenty percent.

1764
01:26:00,200 --> 01:26:02,080
Speaker 2: So what in the first eight months happened?

1765
01:26:02,360 --> 01:26:05,639
Speaker 1: Declines in homicides, robberies and aggravedoss. Well, it's very relevant

1766
01:26:05,640 --> 01:26:08,040
Speaker 1: to this story because obviously the point of blowing this

1767
01:26:08,160 --> 01:26:12,000
Speaker 1: up was like, oh my god, violent migrant criminals are

1768
01:26:12,040 --> 01:26:15,200
Speaker 1: taking over this town. And while I'm sure there are

1769
01:26:15,360 --> 01:26:18,840
Speaker 1: some migrants, as there are some you know, domestic born

1770
01:26:19,040 --> 01:26:22,360
Speaker 1: citizens who commit crimes, no doubt about it, the overall

1771
01:26:22,400 --> 01:26:24,680
Speaker 1: picture here is actually the exact opposite.

1772
01:26:24,880 --> 01:26:26,280
Speaker 3: These migrants haven't brought crime.

1773
01:26:26,360 --> 01:26:28,320
Speaker 1: The crime rate has dropped twenty percent, as it has

1774
01:26:28,360 --> 01:26:30,200
Speaker 1: by the way, as part of a national trend in

1775
01:26:30,240 --> 01:26:30,599
Speaker 1: a lot of.

1776
01:26:30,520 --> 01:26:32,880
Speaker 2: Eventually migrants is just about national trend and drop.

1777
01:26:32,960 --> 01:26:36,840
Speaker 1: True, but it's the polar opposite of the picture that

1778
01:26:36,960 --> 01:26:40,639
Speaker 1: was attempted to be painted with these false allegations about

1779
01:26:40,720 --> 01:26:45,080
Speaker 1: gang members taking over apartment complexes. And again not just

1780
01:26:45,200 --> 01:26:48,240
Speaker 1: you know, people like Charlie Kirker, right, Wing employee Elon Musk,

1781
01:26:48,240 --> 01:26:51,200
Speaker 1: who runs the whole friggin platform elevating this claim and

1782
01:26:51,280 --> 01:26:54,200
Speaker 1: another completely fake claim by the way, aner Chicago of

1783
01:26:54,240 --> 01:26:57,840
Speaker 1: a similar thing. So yeah, it's successiful. That's the bottom line, Like,

1784
01:26:57,920 --> 01:27:00,760
Speaker 1: don't believe these people. They lie, they make stuff. There's

1785
01:27:00,760 --> 01:27:02,080
Speaker 1: an ideological agenda here.

1786
01:27:02,120 --> 01:27:04,240
Speaker 2: I agree, And that is part of what reason that

1787
01:27:04,280 --> 01:27:06,080
Speaker 2: I wanted to say is that yeah, just because it's

1788
01:27:06,120 --> 01:27:08,479
Speaker 2: fake though, doesn't mean that there aren't concern And that's

1789
01:27:08,520 --> 01:27:10,960
Speaker 2: part of what it annoys me, is that when you

1790
01:27:11,520 --> 01:27:15,080
Speaker 2: tar yourself by pushing stuff that ends up to not

1791
01:27:15,160 --> 01:27:19,080
Speaker 2: be true, you actually do disservice to anybody who has

1792
01:27:19,120 --> 01:27:21,439
Speaker 2: a concern as I do that there are forty three

1793
01:27:21,439 --> 01:27:24,880
Speaker 2: thousand illegal Venezuelan migrants who are in the city of Denver.

1794
01:27:25,360 --> 01:27:30,120
Speaker 2: That's crazy. Also, whenever we are vetting, like whether something

1795
01:27:30,160 --> 01:27:32,879
Speaker 2: is committed by a crime or not, by pushing false stuff,

1796
01:27:32,920 --> 01:27:37,160
Speaker 2: you diminish genuine incidents of migrant crime and of people

1797
01:27:37,320 --> 01:27:40,280
Speaker 2: who are murderers and or rapists. You have to be

1798
01:27:41,040 --> 01:27:44,599
Speaker 2: solid in your facts whenever you make such claims. And

1799
01:27:44,840 --> 01:27:47,400
Speaker 2: this is what annoys me about the entire thing. I'm

1800
01:27:47,439 --> 01:27:50,639
Speaker 2: combining it with the tenant stuff. Is it simply allows

1801
01:27:50,800 --> 01:27:55,040
Speaker 2: a dismissal of any of legitimate concerns around migrant crime

1802
01:27:55,360 --> 01:27:57,960
Speaker 2: or even around migrant presence. Period. You don't have to

1803
01:27:58,000 --> 01:27:59,599
Speaker 2: be comitting crime for you to still be a problem.

1804
01:28:00,080 --> 01:28:00,200
Speaker 1: Here.

1805
01:28:00,240 --> 01:28:03,000
Speaker 2: Are they receiving city services? Who's paying your rent? Is

1806
01:28:03,040 --> 01:28:06,120
Speaker 2: that the government? Are you getting welfare from the Denver Coment?

1807
01:28:06,280 --> 01:28:08,960
Speaker 2: None of that should be allowed, period. I mean, that

1808
01:28:09,120 --> 01:28:13,080
Speaker 2: is why I get so annoyed about these, you know,

1809
01:28:13,160 --> 01:28:16,160
Speaker 2: the Elon and Charlie Kirk and the flourishing of this stuff.

1810
01:28:16,160 --> 01:28:19,240
Speaker 2: In fact, just this morning somebody told me, they said, hey,

1811
01:28:19,240 --> 01:28:21,880
Speaker 2: do you know about this Aurora thing. X's mom is

1812
01:28:21,920 --> 01:28:23,640
Speaker 2: super upset about it? And I was like, Oh, I'm

1813
01:28:23,640 --> 01:28:27,080
Speaker 2: actually covering on the show tomorrow. And it's it's because,

1814
01:28:27,320 --> 01:28:30,000
Speaker 2: you know, Fox News and many of these other places

1815
01:28:30,120 --> 01:28:33,519
Speaker 2: are not doing their genuine due diligence in presenting that,

1816
01:28:33,640 --> 01:28:36,040
Speaker 2: and they're just simply putting it all out there. And

1817
01:28:36,080 --> 01:28:38,120
Speaker 2: then will they do a correction or will they do

1818
01:28:38,160 --> 01:28:41,080
Speaker 2: a follow up? Almost certainly not now if it was real,

1819
01:28:41,120 --> 01:28:43,080
Speaker 2: would MSNBC or any of these other people cover it?

1820
01:28:43,160 --> 01:28:43,240
Speaker 5: No?

1821
01:28:43,439 --> 01:28:45,519
Speaker 2: But they certainly will cover it now because they'll be like, hey,

1822
01:28:45,520 --> 01:28:47,840
Speaker 2: look at these idiots who fell for all as they should.

1823
01:28:47,920 --> 01:28:49,839
Speaker 2: You know, I mean, I'm not saying it's not legitimate.

1824
01:28:50,080 --> 01:28:54,280
Speaker 2: I'm the political valance of this drives me crazy because

1825
01:28:54,960 --> 01:28:57,439
Speaker 2: it is whenever you whip people up based on something fake,

1826
01:28:57,479 --> 01:28:59,479
Speaker 2: then you just get to dismiss it out of hand.

1827
01:28:59,600 --> 01:29:01,960
Speaker 2: When I think, I think it's a very legitimate concern period,

1828
01:29:02,200 --> 01:29:04,000
Speaker 2: like who are these residents? Are any of them even

1829
01:29:04,080 --> 01:29:06,920
Speaker 2: legal residents? Like who is paying their rent? You know?

1830
01:29:06,960 --> 01:29:10,639
Speaker 2: Why is this all being taken up by people who

1831
01:29:10,640 --> 01:29:12,680
Speaker 2: are not even from here? I think that's a very

1832
01:29:12,800 --> 01:29:15,640
Speaker 2: legitimate concern. But then saying you know, oh, it's like

1833
01:29:15,720 --> 01:29:19,280
Speaker 2: part of some major gang activity, whenever that obviously ends

1834
01:29:19,360 --> 01:29:22,240
Speaker 2: up being bs, then everyone should frankly dismiss a lot

1835
01:29:22,280 --> 01:29:23,639
Speaker 2: of what the other stuff that you're.

1836
01:29:23,479 --> 01:29:26,840
Speaker 1: Saying, because it's a very clear attempt to demonize and

1837
01:29:26,920 --> 01:29:30,360
Speaker 1: lie about the migrant population. And you know, it's also

1838
01:29:30,439 --> 01:29:32,759
Speaker 1: very clear what's going on here. Immigration is the strongest

1839
01:29:32,760 --> 01:29:35,679
Speaker 1: issue for Trump. Yeah, Trump appears to be losing right now. Now,

1840
01:29:36,120 --> 01:29:36,559
Speaker 1: Who knows.

1841
01:29:36,640 --> 01:29:38,320
Speaker 2: I don't know if that's true. I wouldn't say that,

1842
01:29:38,520 --> 01:29:41,080
Speaker 2: not when he's got a fifty some percent, fifty three

1843
01:29:41,120 --> 01:29:43,320
Speaker 2: percent or whatever chance by Nate Silvertall, we.

1844
01:29:43,280 --> 01:29:45,960
Speaker 1: Just showed the same swing state pool polls in CNN.

1845
01:29:46,200 --> 01:29:48,240
Speaker 1: I think that he's probably a little bit behind, but

1846
01:29:48,720 --> 01:29:51,479
Speaker 1: reasonable people could disagree on that. In any case, what

1847
01:29:51,640 --> 01:29:54,800
Speaker 1: I think is very clear immigration is his best issue.

1848
01:29:54,960 --> 01:29:57,400
Speaker 1: They want to have a conversation about immigration, even if

1849
01:29:57,439 --> 01:30:01,040
Speaker 1: that and Elon Musk is a two millions of dollars

1850
01:30:01,200 --> 01:30:05,120
Speaker 1: backer of Donald Trump explicit backer of Donald Trump. They

1851
01:30:05,160 --> 01:30:08,040
Speaker 1: want the conversation to be about evil immigrants because that

1852
01:30:08,080 --> 01:30:10,799
Speaker 1: benefits them politically, even if it means making some bullshit

1853
01:30:10,880 --> 01:30:14,240
Speaker 1: up and spreading a fake viral story. So just like,

1854
01:30:14,560 --> 01:30:17,519
Speaker 1: you know, keep these things in mind when you're looking

1855
01:30:17,560 --> 01:30:20,879
Speaker 1: at these stories that go viral, because they are shameless

1856
01:30:20,880 --> 01:30:22,400
Speaker 1: about it. And I reference, I don't know if you

1857
01:30:22,439 --> 01:30:25,479
Speaker 1: saw this. Elon also elevated there was like some claim

1858
01:30:25,520 --> 01:30:28,400
Speaker 1: that this was happening in Chicago too. Somebody had called

1859
01:30:28,479 --> 01:30:32,439
Speaker 1: in UH to nine to one one about a similar

1860
01:30:32,720 --> 01:30:36,519
Speaker 1: Chicago incident and the police went to the Parma Complex

1861
01:30:36,600 --> 01:30:37,960
Speaker 1: were like, this is not happening.

1862
01:30:38,040 --> 01:30:40,080
Speaker 3: People are just trying to like make.

1863
01:30:40,040 --> 01:30:44,080
Speaker 1: Like you know, cause a stir and create false narratives.

1864
01:30:44,160 --> 01:30:46,960
Speaker 3: So it was a total hoax that he also.

1865
01:30:47,080 --> 01:30:49,320
Speaker 1: Spread and shared, and I'm sure many of the people

1866
01:30:49,439 --> 01:30:51,240
Speaker 1: millions of people who saw that are not going to

1867
01:30:51,360 --> 01:30:54,800
Speaker 1: know that that was also complete hoax. So anyway, it's

1868
01:30:54,920 --> 01:30:57,840
Speaker 1: very clear this was just like, and you're benefiting this

1869
01:30:57,920 --> 01:31:00,880
Speaker 1: slum lord who was screwing these residents who were playing rent,

1870
01:31:00,880 --> 01:31:04,280
Speaker 1: who were paying rent, and you know, deserve to live

1871
01:31:04,400 --> 01:31:08,360
Speaker 1: in clean conditions without bugs and rats and sewage back

1872
01:31:08,439 --> 01:31:10,679
Speaker 1: up and trash piled up over weeks and weeks because

1873
01:31:10,680 --> 01:31:13,120
Speaker 1: you didn't pay to have the garbage collectors come. So

1874
01:31:13,760 --> 01:31:16,200
Speaker 1: in any case, it's the whole situation is sort of

1875
01:31:16,520 --> 01:31:18,880
Speaker 1: it's just disgusting to me, and the way that it was,

1876
01:31:19,640 --> 01:31:23,160
Speaker 1: the way that people ran with it, even after the

1877
01:31:23,200 --> 01:31:26,240
Speaker 1: residents themselves, the mayor, the police chief.

1878
01:31:26,040 --> 01:31:27,880
Speaker 3: Et cetera, said this is completely false.

1879
01:31:27,960 --> 01:31:31,000
Speaker 2: It's just yeah, it became a national story. Now you

1880
01:31:31,000 --> 01:31:32,560
Speaker 2: have the fact, you can make up your minds. I

1881
01:31:32,600 --> 01:31:33,519
Speaker 2: would say it didn't.

1882
01:31:33,520 --> 01:31:34,880
Speaker 3: There's no one to make it up your minds. It

1883
01:31:34,920 --> 01:31:37,400
Speaker 3: was fake. It was totally fake, but you didn't make

1884
01:31:37,479 --> 01:31:38,080
Speaker 3: up your minds.

1885
01:31:37,880 --> 01:31:42,240
Speaker 1: About Sure, yes, absolutely, but on the story there is

1886
01:31:42,280 --> 01:31:45,400
Speaker 1: no like, you know, evaluating decide everyone who's involved in

1887
01:31:45,439 --> 01:31:49,479
Speaker 1: this except for the clearly nefarious landlord is saying the.

1888
01:31:49,479 --> 01:31:52,759
Speaker 2: Same, this lord, this guy got off real well, didn't he.

1889
01:31:52,760 --> 01:31:56,080
Speaker 1: He's like, he didn't even pay because he had a

1890
01:31:56,280 --> 01:31:57,160
Speaker 1: court date set.

1891
01:31:57,320 --> 01:32:00,599
Speaker 2: I love the out of state he had a date.

1892
01:32:00,439 --> 01:32:03,880
Speaker 1: Set and the judge actually like let him push off

1893
01:32:03,960 --> 01:32:05,760
Speaker 1: his court date for a while while all of this

1894
01:32:06,000 --> 01:32:09,800
Speaker 1: was going on. So and so apparently, you know, at

1895
01:32:09,880 --> 01:32:11,640
Speaker 1: least in the short term, it worked. But what a

1896
01:32:11,760 --> 01:32:12,799
Speaker 1: disgusting scumbag.

1897
01:32:12,960 --> 01:32:14,559
Speaker 2: PERI yeah that I agree.

1898
01:32:14,680 --> 01:32:17,320
Speaker 3: Yes, all right, we'll end on that note of unity.

1899
01:32:17,400 --> 01:32:20,040
Speaker 1: All right, We've got a lot of interesting economic stories

1900
01:32:20,080 --> 01:32:23,080
Speaker 1: that came out about Kamala Harris has some new campaign

1901
01:32:23,160 --> 01:32:26,760
Speaker 1: small business proposals. There's a report that Biden is going

1902
01:32:26,800 --> 01:32:31,479
Speaker 1: to block this nip On Steel acquisition of US Steel,

1903
01:32:31,560 --> 01:32:35,679
Speaker 1: something we've talked about before. And also actually Jeff messaged

1904
01:32:35,720 --> 01:32:38,360
Speaker 1: me that he has some breaking news as well about

1905
01:32:38,400 --> 01:32:42,200
Speaker 1: we're talking about Elon Musk, this Trump Elon commission that

1906
01:32:42,240 --> 01:32:44,759
Speaker 1: had been floated before. So a bunch of economic stories

1907
01:32:44,840 --> 01:32:46,679
Speaker 1: we wanted to get. Jeff Steined from the Washington Post

1908
01:32:46,720 --> 01:32:48,439
Speaker 1: in away and on. Let's go ahead and get to it.

1909
01:32:51,080 --> 01:32:53,679
Speaker 1: Jeff Steinn in the Washington Post. Great to see you, sir, man.

1910
01:32:54,360 --> 01:32:55,840
Speaker 6: Where's the player to be on breaking points?

1911
01:32:55,840 --> 01:32:58,200
Speaker 1: Thanks guys, Yeah, it's our pleasure. Let's go and put

1912
01:32:58,200 --> 01:32:59,720
Speaker 1: this first piece up on the screen. So this was

1913
01:32:59,760 --> 01:33:02,160
Speaker 1: some significant news, something we've been tracking for a while.

1914
01:33:02,240 --> 01:33:05,639
Speaker 1: It does look like the Biden administration is preparing to

1915
01:33:05,800 --> 01:33:09,360
Speaker 1: block this nip on steel. It's a Japanese steel company's

1916
01:33:09,439 --> 01:33:14,080
Speaker 1: acquisition of US Steel. Subhad here from you and your

1917
01:33:14,120 --> 01:33:16,280
Speaker 1: colleague David Lynch, as the move would pose a setback

1918
01:33:16,320 --> 01:33:20,640
Speaker 1: for relations with Japan. Talk to us about this decision,

1919
01:33:21,479 --> 01:33:24,920
Speaker 1: why they would want to block this acquisition, and what

1920
01:33:25,000 --> 01:33:26,360
Speaker 1: some of the broader context here is.

1921
01:33:26,840 --> 01:33:31,160
Speaker 12: Yeah, so US Steel, really, an iconic American company, has

1922
01:33:31,880 --> 01:33:35,800
Speaker 12: been suffering tremendously the last decade plus. Unlike some of

1923
01:33:35,840 --> 01:33:39,560
Speaker 12: its sort of more nimble competitors, with the more agile

1924
01:33:40,040 --> 01:33:45,040
Speaker 12: furnaces in the South, US Steel has lost money I

1925
01:33:45,080 --> 01:33:47,400
Speaker 12: think don't quota on this, but something like eleven of

1926
01:33:47,439 --> 01:33:51,000
Speaker 12: the past fifteen years or thirteen years, and so they've

1927
01:33:51,040 --> 01:33:54,920
Speaker 12: been looking for a buyer. This Japanese company has been

1928
01:33:55,000 --> 01:33:58,240
Speaker 12: very interested in acquiring US Steel in part because you know,

1929
01:33:58,360 --> 01:34:02,760
Speaker 12: increasing US tariffs on on on imports of steel have

1930
01:34:02,880 --> 01:34:05,240
Speaker 12: made it harder to get into US markets, So if

1931
01:34:05,240 --> 01:34:07,879
Speaker 12: they acquire a US firm, they get around that problem.

1932
01:34:08,360 --> 01:34:12,400
Speaker 12: But the Biden administration, I think correctly is right about

1933
01:34:12,439 --> 01:34:17,519
Speaker 12: the politics of a foreign company acquiring this sort of

1934
01:34:18,320 --> 01:34:21,639
Speaker 12: symbol of American industrial light. Like a few months before

1935
01:34:22,479 --> 01:34:26,320
Speaker 12: very contested election in Pennsylvania, which is you know, this

1936
01:34:26,320 --> 01:34:30,160
Speaker 12: this obviously very important part of the election. And so

1937
01:34:30,760 --> 01:34:34,200
Speaker 12: the Biden administration tasked uh Scipius, this sort of obscure

1938
01:34:34,240 --> 01:34:38,160
Speaker 12: government committee that it sort of reviews foreign takeovers of

1939
01:34:38,360 --> 01:34:42,280
Speaker 12: US firms. This is pretty unprecedented for Japan. Japan is

1940
01:34:42,320 --> 01:34:45,040
Speaker 12: a major US ally and so it was really weird

1941
01:34:45,160 --> 01:34:50,200
Speaker 12: and surprising to see, you know, Japan's investment into the

1942
01:34:50,280 --> 01:34:53,240
Speaker 12: US be scrutinized this way. But as we reported yesterday,

1943
01:34:53,240 --> 01:34:55,320
Speaker 12: Buying is going to block block this this deal.

1944
01:34:56,240 --> 01:34:58,360
Speaker 2: So tell us a little bit about the union as well,

1945
01:34:58,360 --> 01:35:00,759
Speaker 2: because I know that they were very involved in this decision.

1946
01:35:02,360 --> 01:35:06,040
Speaker 12: Yeah, Biden has taken a lot of pressure, has been

1947
01:35:06,080 --> 01:35:07,240
Speaker 12: under a lot of pressure.

1948
01:35:06,920 --> 01:35:09,080
Speaker 6: From the United steel Workers union to not allow this

1949
01:35:09,200 --> 01:35:09,880
Speaker 6: to go through.

1950
01:35:11,040 --> 01:35:13,240
Speaker 12: There's a lot of concerns about layoffs and that the

1951
01:35:13,320 --> 01:35:16,400
Speaker 12: Japanese by switching to a new ownership structure, would be

1952
01:35:16,479 --> 01:35:20,600
Speaker 12: really bad for the workers. The management, the executives of

1953
01:35:20,640 --> 01:35:23,880
Speaker 12: the company were warning that the deal went through. If

1954
01:35:23,920 --> 01:35:26,040
Speaker 12: the deal failed at the deal didn't go through, that

1955
01:35:26,080 --> 01:35:27,919
Speaker 12: the company would collapse.

1956
01:35:28,000 --> 01:35:30,679
Speaker 6: I think the workers are saying that that's overblown hype.

1957
01:35:30,680 --> 01:35:33,800
Speaker 12: These executives are trying to cash out, and we should

1958
01:35:33,840 --> 01:35:37,240
Speaker 12: be skeptical of the sort of warnings. But yeah, the

1959
01:35:37,360 --> 01:35:39,960
Speaker 12: union has been very vocal and very in the year

1960
01:35:40,000 --> 01:35:43,720
Speaker 12: of the Democratic Party saying, you know, we're already struggling

1961
01:35:43,720 --> 01:35:46,080
Speaker 12: to keep our members from defecting to Trump. Do you

1962
01:35:46,160 --> 01:35:49,160
Speaker 12: really want to allow this company to be taken over

1963
01:35:49,320 --> 01:35:50,800
Speaker 12: by the Japanese.

1964
01:35:51,479 --> 01:35:54,760
Speaker 1: There's some other staying on the Democratic Party side, Kamala

1965
01:35:54,840 --> 01:35:57,920
Speaker 1: Harris been seemingly trying to quell some of the like

1966
01:35:58,000 --> 01:36:02,080
Speaker 1: CNBC revolts against them economic policies. He's trying to lean

1967
01:36:02,120 --> 01:36:05,080
Speaker 1: into a small business agenda. Could put this Wall Street

1968
01:36:05,160 --> 01:36:08,920
Speaker 1: Journal article up on the screen. She's also breaking somewhat

1969
01:36:09,200 --> 01:36:13,080
Speaker 1: with Biden's previous capital gains tax proposal, so she still

1970
01:36:13,080 --> 01:36:15,679
Speaker 1: would increase the capital gains tax, but not as much

1971
01:36:15,920 --> 01:36:19,559
Speaker 1: as Biden had proposed. As part of her small business agenda,

1972
01:36:19,640 --> 01:36:22,960
Speaker 1: she wants to institute this new fifty thousand dollars tax credit.

1973
01:36:23,040 --> 01:36:25,000
Speaker 1: So what can you tell us about what she is

1974
01:36:25,040 --> 01:36:25,840
Speaker 1: proposing here?

1975
01:36:26,600 --> 01:36:29,160
Speaker 6: Yeah, aploy for the Jim Kramer vote.

1976
01:36:29,720 --> 01:36:33,759
Speaker 1: The coveted Jim Framer vote.

1977
01:36:34,240 --> 01:36:37,000
Speaker 12: Yeah, they were under The New York Times had a

1978
01:36:37,000 --> 01:36:40,680
Speaker 12: great story about sort of donors freaking out about the

1979
01:36:40,760 --> 01:36:45,080
Speaker 12: extent of the tacks hikes push by Harris. Just to

1980
01:36:45,120 --> 01:36:47,840
Speaker 12: give people a little bit of the last few weeks

1981
01:36:47,840 --> 01:36:51,320
Speaker 12: of history here, Harris came out with one point seven

1982
01:36:51,360 --> 01:36:54,439
Speaker 12: trillion dollars in new spending measures and increased child tax credit,

1983
01:36:54,520 --> 01:36:56,880
Speaker 12: other things that they sort of saw as sort of

1984
01:36:56,920 --> 01:36:59,559
Speaker 12: populist goodies that they could run on. But then reporters

1985
01:36:59,600 --> 01:37:01,160
Speaker 12: started out like, how are you going to pay for this?

1986
01:37:01,240 --> 01:37:04,479
Speaker 12: And then Harris said, oh, we support the Biden tax agenda,

1987
01:37:04,520 --> 01:37:07,280
Speaker 12: which is five trillion dollars of stuff. And then people

1988
01:37:07,320 --> 01:37:09,479
Speaker 12: started saying, hey, wait, like that has a lot of

1989
01:37:09,960 --> 01:37:12,840
Speaker 12: very significant tax hikes on investors through the capital gains

1990
01:37:12,840 --> 01:37:15,920
Speaker 12: tax and other measures, and so that led them to say, actually,

1991
01:37:15,920 --> 01:37:18,400
Speaker 12: you know what, like, let's kind of I want to

1992
01:37:18,439 --> 01:37:19,920
Speaker 12: be careful with how I phrase this. But they seem

1993
01:37:19,960 --> 01:37:23,040
Speaker 12: to be saying, like, we want to signal that we're

1994
01:37:23,120 --> 01:37:26,320
Speaker 12: listening to the business community. That we're listening to investors.

1995
01:37:27,240 --> 01:37:28,760
Speaker 12: You know, the only people who would be affected by

1996
01:37:28,760 --> 01:37:30,960
Speaker 12: this are those who earn over a million dollars a

1997
01:37:31,040 --> 01:37:32,519
Speaker 12: year at.

1998
01:37:32,479 --> 01:37:33,759
Speaker 6: Least that's what they've been saying.

1999
01:37:34,400 --> 01:37:36,840
Speaker 12: And so, you know, numerically, it's not that big of

2000
01:37:36,880 --> 01:37:40,000
Speaker 12: a percentage of the voting public. But if you include

2001
01:37:40,000 --> 01:37:42,200
Speaker 12: people who might be concerned that they could become millionaires

2002
01:37:42,200 --> 01:37:44,040
Speaker 12: and be affected by this, or people who don't believe

2003
01:37:44,040 --> 01:37:48,080
Speaker 12: that Harris, you know, won't lower that threshold a certain point,

2004
01:37:48,080 --> 01:37:49,880
Speaker 12: this is kind of meant to assure them that she's

2005
01:37:50,160 --> 01:37:52,479
Speaker 12: maybe more business friendly. I mean, the Harris people are

2006
01:37:52,479 --> 01:37:55,880
Speaker 12: really intent on showing that they're more sympathetic to, or

2007
01:37:55,920 --> 01:37:58,559
Speaker 12: at least open to listening to the business community than

2008
01:37:58,560 --> 01:38:02,320
Speaker 12: Biden was. Whether that is a message that's compatible with

2009
01:38:02,360 --> 01:38:05,280
Speaker 12: what they've said about banning price gouging and how those

2010
01:38:05,840 --> 01:38:07,080
Speaker 12: all shake out, I don't know.

2011
01:38:07,120 --> 01:38:08,840
Speaker 6: There's some Democrats have spoken to who are.

2012
01:38:08,760 --> 01:38:11,240
Speaker 12: Getting alarmed that, you know, Harris seems to be kind

2013
01:38:11,280 --> 01:38:14,200
Speaker 12: of going from crisis to crisis and kind of addressing

2014
01:38:14,240 --> 01:38:18,839
Speaker 12: her sort of most immediate short term political need. Obviously,

2015
01:38:18,920 --> 01:38:21,439
Speaker 12: the campaign would say that's highly ungenerous that they have

2016
01:38:21,479 --> 01:38:24,200
Speaker 12: a grand vision and this is all of all orchestrated

2017
01:38:24,200 --> 01:38:24,760
Speaker 12: and thought out.

2018
01:38:25,040 --> 01:38:27,680
Speaker 2: Well, okay, then that's kind of where I want to

2019
01:38:27,680 --> 01:38:29,920
Speaker 2: stick with you, Jeff, because as you and I both know,

2020
01:38:30,080 --> 01:38:33,479
Speaker 2: you know, each individual policy seems to be in a lab.

2021
01:38:33,600 --> 01:38:36,080
Speaker 2: It's getting tested, and then a statement will come out.

2022
01:38:36,160 --> 01:38:38,599
Speaker 2: So can you just explain to us how this fits

2023
01:38:38,600 --> 01:38:41,519
Speaker 2: in that context? For example, I believe yesterday they were

2024
01:38:41,560 --> 01:38:45,800
Speaker 2: talking about perhaps walking back from an evy mandate. Obviously

2025
01:38:45,800 --> 01:38:48,360
Speaker 2: there have been previous stories about the positions on the border.

2026
01:38:48,600 --> 01:38:51,519
Speaker 2: There's fracking, there's I mean, there's ad nauseum. I could

2027
01:38:51,520 --> 01:38:53,680
Speaker 2: go down the list of what these all look like.

2028
01:38:53,760 --> 01:38:55,639
Speaker 2: So how does it fit into that context?

2029
01:38:55,680 --> 01:38:58,880
Speaker 12: As you were saying, I'm really glad glad you brought

2030
01:38:58,880 --> 01:39:01,720
Speaker 12: that up, Saggar, because I don't want to, like, not

2031
01:39:02,000 --> 01:39:04,960
Speaker 12: discussed that there are huge reversals of her positions from

2032
01:39:04,960 --> 01:39:07,400
Speaker 12: twenty twenty, I mean, massive changes from what she was

2033
01:39:07,479 --> 01:39:12,040
Speaker 12: articulating just a few years ago. And I'm not sure

2034
01:39:12,080 --> 01:39:14,720
Speaker 12: I have great insight into exactly what is going on

2035
01:39:14,800 --> 01:39:17,760
Speaker 12: inside the campaign right now about how they're thinking about

2036
01:39:17,760 --> 01:39:21,040
Speaker 12: these questions, but I think it's fair to say that,

2037
01:39:21,479 --> 01:39:25,120
Speaker 12: you know, she's so new to voters She's still a

2038
01:39:25,160 --> 01:39:28,160
Speaker 12: relative unknown, and the amount of whiplash on some of

2039
01:39:28,160 --> 01:39:32,320
Speaker 12: these positions I think is a risk for the campaign.

2040
01:39:32,360 --> 01:39:35,639
Speaker 12: I mean, for all of Trump's sort of incoherence and

2041
01:39:36,920 --> 01:39:40,240
Speaker 12: his sort of quick changes and about faces on policy,

2042
01:39:40,680 --> 01:39:42,439
Speaker 12: I think a lot of voters could tell you, sort

2043
01:39:42,439 --> 01:39:45,479
Speaker 12: of in broad strokes what he stands for tariffs and

2044
01:39:45,600 --> 01:39:49,920
Speaker 12: tax cuts and you know, reducing immigration, those kinds of things.

2045
01:39:50,280 --> 01:39:54,280
Speaker 12: But you know, on fracking on all these economic policies,

2046
01:39:54,280 --> 01:39:59,320
Speaker 12: on environmental policies, we're seeing Harris undergo some really dramatic changes,

2047
01:39:59,360 --> 01:40:01,880
Speaker 12: of course, and whether those add up for voters I

2048
01:40:01,880 --> 01:40:04,120
Speaker 12: think is sort of a big question.

2049
01:40:04,439 --> 01:40:06,280
Speaker 6: I don't know if that really answers what you're asking now.

2050
01:40:06,520 --> 01:40:08,000
Speaker 3: Yeah, well, it's worth keeping in mind.

2051
01:40:08,080 --> 01:40:11,240
Speaker 1: She maintained a lot of the Biden who like Biden

2052
01:40:11,320 --> 01:40:15,479
Speaker 1: campaign team that was failing dreadfully, So you know, when

2053
01:40:15,520 --> 01:40:20,240
Speaker 1: these sort of perplexing about face decisions occur with Harris,

2054
01:40:20,240 --> 01:40:22,439
Speaker 1: I think that's reasonable to keep in mind. And I

2055
01:40:22,520 --> 01:40:24,840
Speaker 1: mean the other knock on her always has been that

2056
01:40:24,960 --> 01:40:26,840
Speaker 1: she doesn't really have a lot of and you looked

2057
01:40:26,840 --> 01:40:28,160
Speaker 1: into this like she doesn't have.

2058
01:40:28,080 --> 01:40:30,280
Speaker 3: A lot of core ideas.

2059
01:40:30,479 --> 01:40:33,479
Speaker 1: It's been more like Okay, Well, when I'm trying to

2060
01:40:34,360 --> 01:40:36,680
Speaker 1: get ahead in California during a certain era, it'd be

2061
01:40:36,720 --> 01:40:38,639
Speaker 1: tough on crime. Then I'm going to run to the left,

2062
01:40:38,680 --> 01:40:40,599
Speaker 1: because I think that's the lane in twenty twenty now,

2063
01:40:40,640 --> 01:40:42,320
Speaker 1: and with Biden and I got to win these you know,

2064
01:40:42,840 --> 01:40:45,160
Speaker 1: general election modern swing voters, I'm going to be in

2065
01:40:45,240 --> 01:40:48,400
Speaker 1: a different place. And that's starting to like, that's starting

2066
01:40:48,439 --> 01:40:50,799
Speaker 1: to feel like what's having here very clearly.

2067
01:40:51,439 --> 01:40:53,559
Speaker 12: I think the most generous interpretation is that this is

2068
01:40:53,600 --> 01:40:55,400
Speaker 12: sort of like trying to build as big of a

2069
01:40:55,479 --> 01:40:58,559
Speaker 12: tent as possible. But yeah, I don't know if there's

2070
01:40:58,560 --> 01:41:00,439
Speaker 12: a metaphor in here somewhere that like if tent is

2071
01:41:00,680 --> 01:41:02,680
Speaker 12: too big and like it doesn't really.

2072
01:41:02,840 --> 01:41:05,040
Speaker 1: But like we could leave, you know, we could leave

2073
01:41:05,040 --> 01:41:07,679
Speaker 1: the Jim Kramer vote out of the tent, like I would.

2074
01:41:07,680 --> 01:41:09,400
Speaker 3: I would be I would be good with that, you know.

2075
01:41:09,640 --> 01:41:10,720
Speaker 3: But all right, we'll put that.

2076
01:41:10,880 --> 01:41:13,120
Speaker 1: Let's let's turn to the news you broke with regard

2077
01:41:13,240 --> 01:41:17,439
Speaker 1: to Trump and Elon Musk. Put this up on the screen.

2078
01:41:17,520 --> 01:41:19,799
Speaker 1: We'll put this in in a in post guys, Trump,

2079
01:41:19,840 --> 01:41:23,000
Speaker 1: Ey's plan that may give Elon Musk role in auditing

2080
01:41:23,280 --> 01:41:26,679
Speaker 1: US agencies. This was some news that you broke earlier

2081
01:41:26,760 --> 01:41:29,320
Speaker 1: this week. This had been sort of floated that Elon

2082
01:41:29,400 --> 01:41:33,240
Speaker 1: would have a role in auditing federal government agencies. Of course,

2083
01:41:33,240 --> 01:41:36,280
Speaker 1: people immediately pointed out, hey, you have a lot of

2084
01:41:36,280 --> 01:41:39,479
Speaker 1: big government contracts. Seems like there could be a little

2085
01:41:39,479 --> 01:41:41,679
Speaker 1: bit of a conflict of interest here. And the news

2086
01:41:41,720 --> 01:41:44,799
Speaker 1: that you broke is that they're set to formally endorse

2087
01:41:44,880 --> 01:41:46,479
Speaker 1: this idea.

2088
01:41:46,760 --> 01:41:49,960
Speaker 12: Yeah, I mean, we'll see what this looks like if

2089
01:41:49,960 --> 01:41:53,920
Speaker 12: Trump is actually elected. But the idea is basically to say,

2090
01:41:54,040 --> 01:41:57,800
Speaker 12: like the government bureaucrats are all corrupt and doing everything wrong,

2091
01:41:58,000 --> 01:42:01,599
Speaker 12: let's bring in some like exact natives and CEOs Musk

2092
01:42:01,680 --> 01:42:04,880
Speaker 12: and maybe the CEO of FedEx and some other names

2093
01:42:04,920 --> 01:42:08,040
Speaker 12: I've heard tossed around, the former CEO of Home Depot,

2094
01:42:08,080 --> 01:42:09,800
Speaker 12: apparently Trump really likes.

2095
01:42:09,880 --> 01:42:10,800
Speaker 6: And so the idea is.

2096
01:42:10,840 --> 01:42:13,840
Speaker 12: Let's bring these guys in, go through all the federal books,

2097
01:42:13,880 --> 01:42:16,880
Speaker 12: find all the waste and taxpayers spending, and come up

2098
01:42:16,920 --> 01:42:19,519
Speaker 12: with a sort of list that they present to Congress

2099
01:42:19,520 --> 01:42:20,920
Speaker 12: and say, you guys need to get rid of this.

2100
01:42:20,960 --> 01:42:23,680
Speaker 12: And Reagan actually did this in the eighties. It was

2101
01:42:24,880 --> 01:42:28,240
Speaker 12: highly well, it was never actually implemented, but from a

2102
01:42:28,240 --> 01:42:32,000
Speaker 12: political standpoint, it produced all these headlines about, you know,

2103
01:42:32,160 --> 01:42:34,559
Speaker 12: the Department of Defense spent like eight hundred dollars on

2104
01:42:34,600 --> 01:42:36,680
Speaker 12: the toilet or whatever, and then that became like a

2105
01:42:36,720 --> 01:42:40,439
Speaker 12: whole controversy that fueled the sort of Reagan message about

2106
01:42:40,479 --> 01:42:43,639
Speaker 12: government waste and spending. And so I think the Trump people,

2107
01:42:44,400 --> 01:42:47,120
Speaker 12: you know, are spending a lot of time talking about

2108
01:42:47,360 --> 01:42:51,200
Speaker 12: you know, five six, seven trillion dollars in additional tax cuts,

2109
01:42:51,320 --> 01:42:53,800
Speaker 12: and so this question is growing.

2110
01:42:53,479 --> 01:42:55,240
Speaker 6: Of like what are they going to do to pay

2111
01:42:55,280 --> 01:42:55,400
Speaker 6: for that?

2112
01:42:55,439 --> 01:42:57,720
Speaker 12: Because Trump added more to the federal depth than any

2113
01:42:57,760 --> 01:43:00,880
Speaker 12: other president in American history eight million dollars of the

2114
01:43:00,880 --> 01:43:03,720
Speaker 12: course of four years, and so they're looking at, you know,

2115
01:43:03,760 --> 01:43:05,120
Speaker 12: potentially replicating that.

2116
01:43:05,160 --> 01:43:07,519
Speaker 6: And so this is partly an answer to that question.

2117
01:43:07,560 --> 01:43:11,240
Speaker 12: But as you said, you know, putting Musk in charge

2118
01:43:11,479 --> 01:43:15,560
Speaker 12: of federal regulations, federal spending, I mean, the amount of

2119
01:43:16,360 --> 01:43:18,760
Speaker 12: sort of direct interest he has, I mean, would he

2120
01:43:18,960 --> 01:43:23,120
Speaker 12: basically say that the US Agency is responsible for regulating.

2121
01:43:24,120 --> 01:43:27,000
Speaker 6: You know, self driving cars, that that is government waste? Right?

2122
01:43:27,040 --> 01:43:29,320
Speaker 12: Like, obviously I don't know if that is something he

2123
01:43:29,360 --> 01:43:31,400
Speaker 12: would come up with, but there's all kinds of reasons

2124
01:43:31,400 --> 01:43:34,920
Speaker 12: to believe that he's it's not a compromise party than

2125
01:43:34,960 --> 01:43:39,080
Speaker 12: one worth being skeptical of his ability to really impartially

2126
01:43:39,120 --> 01:43:40,160
Speaker 12: look at the government books.

2127
01:43:40,240 --> 01:43:41,599
Speaker 2: You don't have to be a lib to say, hey,

2128
01:43:41,640 --> 01:43:43,760
Speaker 2: if you get billions or dollars in government subsidies, you

2129
01:43:43,760 --> 01:43:46,479
Speaker 2: also should not audit government subsidies. Okay, all right, I

2130
01:43:46,520 --> 01:43:47,759
Speaker 2: think that's pretty basic.

2131
01:43:48,840 --> 01:43:53,240
Speaker 1: And your giant companies are subject to significant government regulation.

2132
01:43:52,960 --> 01:43:56,360
Speaker 2: As the government contractor, shouldn't also be saved. Yeah, look,

2133
01:43:56,760 --> 01:43:59,280
Speaker 2: and I'm supportive of cutting a lot of governments. Like

2134
01:43:59,400 --> 01:44:02,320
Speaker 2: let's be let's be very clear about that, Jeff.

2135
01:44:02,400 --> 01:44:05,120
Speaker 12: So you can imagine him being, you know, not allowed

2136
01:44:05,120 --> 01:44:08,160
Speaker 12: to look at the things that he's involved in. But

2137
01:44:08,200 --> 01:44:10,959
Speaker 12: the Trump people in their first turn were not particularly

2138
01:44:11,040 --> 01:44:12,040
Speaker 12: judicious about.

2139
01:44:11,800 --> 01:44:15,880
Speaker 2: That kind of exactly that was. That was going to

2140
01:44:15,920 --> 01:44:18,760
Speaker 2: be my point about some of the people that were

2141
01:44:18,760 --> 01:44:21,320
Speaker 2: involved anything else, Jeff, that you want to go over

2142
01:44:21,360 --> 01:44:24,400
Speaker 2: in terms of you've broken so many different stories here

2143
01:44:25,080 --> 01:44:28,679
Speaker 2: in terms of how you're watching economics kind of shape

2144
01:44:28,720 --> 01:44:29,800
Speaker 2: within the election so far.

2145
01:44:31,080 --> 01:44:33,720
Speaker 12: I mean, I think, I mean, I wasn't around for

2146
01:44:33,760 --> 01:44:36,800
Speaker 12: a lot of the campaigns that I'm about to refer to,

2147
01:44:36,880 --> 01:44:39,559
Speaker 12: but I do think it is I mean, maybe it's

2148
01:44:39,600 --> 01:44:41,880
Speaker 12: just like six nerds in Washington who care about this.

2149
01:44:42,200 --> 01:44:45,200
Speaker 12: It's probably the case, but it's pretty amazing, like how

2150
01:44:45,240 --> 01:44:48,840
Speaker 12: little detail we're getting about what the candidates want to

2151
01:44:48,880 --> 01:44:49,839
Speaker 12: do for the country.

2152
01:44:50,040 --> 01:44:50,240
Speaker 6: Like it.

2153
01:44:52,160 --> 01:44:54,640
Speaker 12: Obviously may seem quaint to even say that, but like

2154
01:44:54,720 --> 01:44:57,680
Speaker 12: I watched basically all both conventions, Like I listened to

2155
01:44:57,680 --> 01:45:03,920
Speaker 12: the candidate's statements, and we're really at an incredible like

2156
01:45:04,280 --> 01:45:08,479
Speaker 12: surface level of policy for I think more so for

2157
01:45:08,520 --> 01:45:11,519
Speaker 12: Trump than for Harris, but really even compared to what

2158
01:45:11,520 --> 01:45:14,439
Speaker 12: we got from Biden four years ago, but especially compared

2159
01:45:14,479 --> 01:45:18,799
Speaker 12: to Clinton eight years ago or Obama. You know, candidates

2160
01:45:18,840 --> 01:45:21,320
Speaker 12: used to release you know, dozens or hundreds of pages

2161
01:45:21,360 --> 01:45:25,080
Speaker 12: of detailed analysis about like the reason that like all

2162
01:45:25,120 --> 01:45:28,040
Speaker 12: of politics matters at some level, right, like all the show,

2163
01:45:28,600 --> 01:45:32,400
Speaker 12: all the pomp and circumstance, all the like, like TV

2164
01:45:32,640 --> 01:45:35,280
Speaker 12: and radio and like media, like all of it about

2165
01:45:35,320 --> 01:45:38,000
Speaker 12: politics is like in service of the question in my

2166
01:45:38,120 --> 01:45:40,040
Speaker 12: view of like what do you want to do to

2167
01:45:40,120 --> 01:45:43,599
Speaker 12: like change the country, And just in my brief time

2168
01:45:43,640 --> 01:45:49,160
Speaker 12: as a reporter, like that that has gotten so so vague.

2169
01:45:49,240 --> 01:45:50,760
Speaker 6: Yeah, the political incentives seems to.

2170
01:45:50,760 --> 01:45:52,360
Speaker 2: We used to argue about budgets, you remember that the

2171
01:45:52,439 --> 01:45:55,559
Speaker 2: book President's budget so percent less for the you know,

2172
01:45:55,840 --> 01:45:58,000
Speaker 2: and people would have cable news panels about it and

2173
01:45:58,040 --> 01:46:01,080
Speaker 2: op eds and you know, now somebody just the Harris

2174
01:46:01,080 --> 01:46:03,000
Speaker 2: campaign is like she no longer supports that, and the

2175
01:46:03,000 --> 01:46:05,400
Speaker 2: Trump campaign is like, hey says no tax on tips,

2176
01:46:05,439 --> 01:46:07,479
Speaker 2: And it's like, okay, what does that mean?

2177
01:46:09,160 --> 01:46:12,680
Speaker 12: In what way to eliminate taxes on Social Security benefits?

2178
01:46:12,800 --> 01:46:12,920
Speaker 1: Right?

2179
01:46:13,000 --> 01:46:16,080
Speaker 6: That's the potentially two trillion dollars I was going to see.

2180
01:46:16,400 --> 01:46:19,960
Speaker 12: Incredibly complicated, like could speed up the data which social

2181
01:46:19,960 --> 01:46:22,960
Speaker 12: Security beneficiaries stop receiving checks they need to like buy

2182
01:46:22,960 --> 01:46:26,040
Speaker 12: food in medicine and we have no idea like how

2183
01:46:26,080 --> 01:46:26,719
Speaker 12: would work?

2184
01:46:27,320 --> 01:46:28,280
Speaker 6: Like literally like.

2185
01:46:28,200 --> 01:46:31,400
Speaker 2: A mandating IVF that's what a hundred billion, one hundred

2186
01:46:31,439 --> 01:46:32,439
Speaker 2: billion easily, right?

2187
01:46:32,640 --> 01:46:35,280
Speaker 12: And then the Harrors campaign the ban on on federal

2188
01:46:35,320 --> 01:46:38,000
Speaker 12: price gouging for groceries and food, Like what does that

2189
01:46:38,040 --> 01:46:40,880
Speaker 12: look like? Or is the FTC like going to be

2190
01:46:40,920 --> 01:46:45,120
Speaker 12: like checking all shots whe They're like, I don't know,

2191
01:46:45,960 --> 01:46:47,920
Speaker 12: we don't know, And so it's it's a it's kind

2192
01:46:47,960 --> 01:46:49,880
Speaker 12: of a frustrating time to be a policy reporter because

2193
01:46:49,880 --> 01:46:53,880
Speaker 12: we're just like we're we can get hit as reporters

2194
01:46:53,880 --> 01:46:57,080
Speaker 12: for trying to analyze what we think they're trying to say,

2195
01:46:57,760 --> 01:46:59,680
Speaker 12: and they'll say, no, no, we didn't mean that, But it's like,

2196
01:46:59,720 --> 01:47:01,280
Speaker 12: we don't don't know what you really and.

2197
01:47:01,320 --> 01:47:02,960
Speaker 3: Tell us what you actually mean.

2198
01:47:03,280 --> 01:47:05,800
Speaker 1: Well, I mean, you can kind of see why they

2199
01:47:05,880 --> 01:47:09,639
Speaker 1: do it because on the flip example is you've got

2200
01:47:09,640 --> 01:47:13,559
Speaker 1: Project twenty twenty five, nine hundred pages of spelling out

2201
01:47:13,600 --> 01:47:17,760
Speaker 1: in elaborate detail what they would do, and it's a

2202
01:47:17,760 --> 01:47:20,720
Speaker 1: massive liability. You know, it's a big problem for them.

2203
01:47:20,920 --> 01:47:23,080
Speaker 1: Or who was it Rick Scott who put out that

2204
01:47:23,280 --> 01:47:27,560
Speaker 1: terrible like policy detailed proposal and Democrats were hanging that

2205
01:47:27,640 --> 01:47:31,519
Speaker 1: around the neck of Republicans and so they feel like

2206
01:47:31,560 --> 01:47:34,920
Speaker 1: there's more risk than benefit and actually telling us specifically

2207
01:47:35,200 --> 01:47:37,400
Speaker 1: their plans. And with Trump you have the added I

2208
01:47:37,400 --> 01:47:39,360
Speaker 1: mean with both of them in a sense, but especially

2209
01:47:39,400 --> 01:47:40,040
Speaker 1: with Trump you.

2210
01:47:39,960 --> 01:47:40,679
Speaker 2: Have that added.

2211
01:47:41,040 --> 01:47:42,680
Speaker 3: You know, he says all kinds of wild shit. Do

2212
01:47:42,760 --> 01:47:43,479
Speaker 3: you mean any of this?

2213
01:47:43,720 --> 01:47:46,720
Speaker 1: Like do you really mean ten percent tariff on everything?

2214
01:47:47,040 --> 01:47:48,720
Speaker 3: Do you mean a one time? He floated twenty?

2215
01:47:49,040 --> 01:47:49,360
Speaker 2: Is a ten?

2216
01:47:49,479 --> 01:47:50,000
Speaker 3: Is a twenty?

2217
01:47:50,320 --> 01:47:54,040
Speaker 1: Do you understand what massive implications I would have? Or

2218
01:47:54,400 --> 01:47:57,400
Speaker 1: on the immigration thing, like you're talking about rounding all

2219
01:47:57,560 --> 01:48:01,320
Speaker 1: these millions of people. That's an un believe put the

2220
01:48:01,320 --> 01:48:05,240
Speaker 1: morality aside, expensive invasive undertaking.

2221
01:48:05,600 --> 01:48:06,680
Speaker 3: What does that look like?

2222
01:48:07,200 --> 01:48:09,919
Speaker 1: And when you have industries like agriculture that are dependent

2223
01:48:09,960 --> 01:48:14,920
Speaker 1: on sixty percent migrant workers, what does this mean? But

2224
01:48:14,960 --> 01:48:16,679
Speaker 1: then you're you know, it's like, well it is even

2225
01:48:16,920 --> 01:48:19,479
Speaker 1: he's probably not even really serious about that level of

2226
01:48:19,479 --> 01:48:22,559
Speaker 1: deepest So it makes it your your job and our

2227
01:48:22,640 --> 01:48:25,519
Speaker 1: job trying to understand what the implications would be.

2228
01:48:25,640 --> 01:48:27,280
Speaker 3: It makes it sort of impossible. I saw this.

2229
01:48:28,200 --> 01:48:30,400
Speaker 1: It was a Goldman Sachs analysis that was like O

2230
01:48:30,520 --> 01:48:32,200
Speaker 1: Kamala Harris's economic.

2231
01:48:31,800 --> 01:48:33,719
Speaker 3: Proposals would add to the GDP and Trumps.

2232
01:48:33,960 --> 01:48:35,880
Speaker 1: I don't even know how they're doing these numbers when

2233
01:48:35,880 --> 01:48:38,240
Speaker 1: you have so little detail from either one of them.

2234
01:48:39,240 --> 01:48:45,719
Speaker 12: Yeah, my wife and I rewatched Idiocracy films. Whole plan

2235
01:48:45,880 --> 01:48:50,679
Speaker 12: is like we will fix what's uh. Luke Wilson's character

2236
01:48:50,800 --> 01:48:53,080
Speaker 12: is like he will fix everything. Yeah, that's the whole plan.

2237
01:48:53,320 --> 01:48:58,400
Speaker 1: That's very Trumpyan. Yeah yeah, all right, Jeff, thank you

2238
01:48:58,479 --> 01:49:00,439
Speaker 1: so much. It's always great to see you and help

2239
01:49:00,520 --> 01:49:04,480
Speaker 1: us sort through what little we can glean from these campaigns.

2240
01:49:04,479 --> 01:49:06,479
Speaker 6: Good to see you man, Seeing you guys, Thanks same.

2241
01:49:06,720 --> 01:49:09,200
Speaker 2: All right, guys, thanks for watching. We'll see you all later.