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

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

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

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

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

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Speaker 3: Coverage that is possible.

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

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Speaker 2: the absolute world to have your support.

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Speaker 3: But enough with that, let's get to the show.

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Speaker 2: Good morning, everybody, Happy Monday. We have an amazing show

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Speaker 2: for everybody today. What do we have, Crystal, indeed we do.

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Speaker 1: Tomorrow is the big debate Donald Trump versus Kamala Harris

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Speaker 1: much again anticipated I'm excited about it.

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Speaker 4: We're gonna be here.

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Speaker 1: I'll give you the whole schedule, rundown, whatever. But in

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Speaker 1: the show today we are going to be previewing that debate,

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Speaker 1: their strategy, what we know about their prep go through

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Speaker 1: some of the best and worst moments from their debates

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Speaker 1: and interviews of the past, so we can do our

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Speaker 1: best to predict how this might all go down.

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Speaker 4: We've also got a new New York Times pull out.

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Speaker 1: As of yesterday that is causing quite a bit of consternation.

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Speaker 1: A lot of interesting numbers there, so we'll dig into

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Speaker 1: that as well.

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Speaker 4: Some big endorsements coming in for.

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Speaker 1: Kamala Harris, Liz Cheney and her father Dick Cheney. So

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Speaker 1: war criminals for Harris, let's go. Tim Poole is telling

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Speaker 1: his side of the story about this whole getting accidentally

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Speaker 1: paid by Russians, so that's kind of interesting. As he's speaking,

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Speaker 1: He's also he was on Bet Shapiro's program interrupted by

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Speaker 1: an ad for Israel, so a lot to say about

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Speaker 1: that one speaking of Israel, some horrific news coming out

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Speaker 1: of that region. Israel's now murdered an American citizen in

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Speaker 1: the West Bank.

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Speaker 4: Of course, the way that the US.

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Speaker 1: Biden administration has responded to that versus the American hostage

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Speaker 1: she was killed, you know, wildly different reactions there. We

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Speaker 1: also have more reporting about how the Hannibal directive was

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Speaker 1: initiated on October seventh, and specifically the scope of that

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Speaker 1: directive and how many people may have been killed Israeli

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Speaker 1: citizens killed themselves by the IDF. We're also going to

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Speaker 1: have Rocana in studio also helping to preview the debate,

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Speaker 1: his sense of where the horse race is and want

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Speaker 1: to get his reaction to the failures of the Biden

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Speaker 1: Harris administration with regard to Israel. So a lot to

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Speaker 1: get into this morning.

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Speaker 2: Yes, it's exciting. Now before we get to that, just

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Speaker 2: a little bit of a preview of tomorrow. We will

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Speaker 2: be live all four of us with the Counterpoints team

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Speaker 2: here at the desk before and after the debate. We

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Speaker 2: also will be continuing what we did in Chicago, where

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Speaker 2: will be taking questions live from our premium subscribers on

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Speaker 2: locals during the stream. So if you want to become

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Speaker 2: a premium subscriber, you can become Breakingpoints dot com and

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Speaker 2: that is part of the exclusive AMAS that we offer

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Speaker 2: to our premium subscribers, So make sure that you go

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Speaker 2: ahead and subscribe so you get access to that, otherwise

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Speaker 2: you're going to miss out. And genuinely was one of

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Speaker 2: the most fun parts of our show in Chicago. So

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Speaker 2: that was really Oh yeah, for sure.

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Speaker 1: No, this is I mean, we'll get into it a

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Speaker 1: little bit more in this block. But this debate could

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Speaker 1: be extremely consequential. Yes, this race could not be.

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Speaker 2: This being more consequential than the last one. Is that

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Speaker 2: even humanly, I don't think that's possible. I need more

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Speaker 2: stakes here to get me hyped up. Yes, indeed, But

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Speaker 2: with all of that, there you go Breakingpoints dot Com.

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Speaker 2: Become a subscriber, participate in our exclusive AMAS.

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Speaker 3: Okay, let's go.

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Speaker 2: Ahead with the debate and preview a little bit of

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Speaker 2: what we can possibly expect from tomorrow night. So there's

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Speaker 2: a lot that Kamala Harris wants to recreate. There's a

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Speaker 2: lot that she perhaps wants to avoid. First and foremost,

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Speaker 2: for Kamala, arguably her best debate moment of all time

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Speaker 2: was funnily enough against her current president Joe Biden, who

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Speaker 2: she serves as the Vice president too, with the classic

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Speaker 2: that Little Girl Was Me.

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Speaker 3: It had all the hallmarks of a good Kamala moment.

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Speaker 2: It was highly scripted, it was prepared, but it did

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Speaker 2: land and it certainly it took off at the time.

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Speaker 3: Let's take a listen to that.

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Speaker 5: We've also heard and I'm going to now direct this

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Speaker 5: at Vice President Biden. I do not believe you are

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Speaker 5: a racist, and I agree with you when you commit

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Speaker 5: yourself to the importance of finding common ground. But I

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Speaker 5: also believe and it's personal and it was actually very

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Speaker 5: it was hurtful to hear you talk about the repute

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Speaker 5: of two United States senators who built their reputations and

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Speaker 5: career on the segregation of race in this country. And

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Speaker 5: it was not only that, but you also worked with

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Speaker 5: them to a post bussing And you know, there was

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Speaker 5: a little girl in California who was part of the

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Speaker 5: second class to integrate her public schools, and she was

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Speaker 5: bussed to school every day. And that little girl was me.

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Speaker 3: So that was by far her best debate moment.

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Speaker 2: And look, you know, you can look back with different

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Speaker 2: colored glasses. At the time, it actually did hit Biden.

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Speaker 3: It was a huge media moment. Number one.

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Speaker 2: She sold a ton of merchandise with that little girl

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Speaker 2: was me. They had it all planned out, t shirts, mugs, etc.

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Speaker 2: And she had a temporary polling bump. Now you know,

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Speaker 2: obviously all collapsed after the Tulsi Gabbert moment only a

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Speaker 2: single debate later. But we should remember that she can

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Speaker 2: be effective when she wants to be, which at being

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Speaker 2: highly script This is another where the rules of this

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Speaker 2: debate may benefit her, even though she fought against that,

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Speaker 2: because Trump's mike will be muted while Kamala is speaking,

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Speaker 2: meaning that a scripted moment hit and or answer. Maybe

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Speaker 2: one that she'll be able to deliver effectively.

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Speaker 3: That's her best case scenario for her.

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Speaker 1: This that's a good point. That's a good point. Yeah,

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Speaker 1: it's worth recalling. You know, she shot up to her

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Speaker 1: highest numbers that she hit in the primary after that debate.

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Speaker 1: And it actually wasn't just that moment. I remember doing

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Speaker 1: the analysis with you. I was actually down in Atlanta

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Speaker 1: that debate feels like it was maybe Atlanta.

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Speaker 4: Anyway, lifetime, like four love times ago.

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Speaker 1: Anyway, she was really good that debate, you know, the

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Speaker 1: whole debate, she was on it. That was by far

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Speaker 1: her best performance. I remember afterwards saying she won the debate,

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Speaker 1: she was the most effective. And part of the reason

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Speaker 1: why is because she at that point going into it,

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Speaker 1: she wasn't one of the frontwers. She was a media favorite,

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Speaker 1: but she wasn't one of the front runners, and so

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Speaker 1: most of the fire from the other candidates was trained

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Speaker 1: at other campaigns, at Bernie and Biden in particular, so

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Speaker 1: she really sort of escaped a lot of scrutiny. So

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Speaker 1: she was able to control her moments and pick her spots.

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Speaker 1: That's what made her so effective. And you know that

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Speaker 1: did land at the time and she was able to

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Speaker 1: make something of it. You know, there's a little bit

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Speaker 1: of deja vous here because we're right now living through

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Speaker 1: and we'll talk more about this pulling section Kamala being

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Speaker 1: gifted a lot of momentum and kind of squandering it,

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Speaker 1: and that's kind of what happened out of that little

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Speaker 1: Girl was Me moment debate moment. She got a lot

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Speaker 1: of momentum. The media loved her, and I remember watching

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Speaker 1: her the very next morning on maybe the Today Show,

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Speaker 1: one of the morning shows, and it felt like a

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Speaker 1: different person. She was not able to follow up that

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Speaker 1: moment with a compelling narrative about herself with a sort

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Speaker 1: of energetic response. It felt like she retreated after that

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Speaker 1: moment back into her shell, which again is sort of

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Speaker 1: what we're living through right now in terms of how

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Speaker 1: she she's approaching this campaign. But it is a reminder

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Speaker 1: that you know, when she is prepared, and all indications

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Speaker 1: are that, you know, the reporting from New York Times,

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Speaker 1: She's been holed up in a Pittsburgh hotel. They actually

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Speaker 1: brought in someone to like wear a Trumpian suit and

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Speaker 1: do method acting to be to really try to capture

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Speaker 1: Trump's persona and how he might approach this debate. So

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Speaker 1: it certainly seems like she's taking this seriously, like she's

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Speaker 1: doing a lot of prep and when she does that,

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Speaker 1: she can be affected.

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Speaker 3: She can be that's right.

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Speaker 2: We are going to give you the other side of

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Speaker 2: the coin, where she had basically a month as a

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Speaker 2: candidate to prepare, and in that classic CNN interview, even

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Speaker 2: with frankly the most layup question of all time, like

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Speaker 2: many people don't know why you've changed your mind? Why

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Speaker 2: have you changed your mind on some things, she still

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Speaker 2: has not given a good response now currently really the

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Speaker 2: only interview that she's even participated in, and why she

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Speaker 2: has flip flopped on so many of the positions that

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Speaker 2: she's taken in the past. Here she was in the

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Speaker 2: recent Sienna interview with Dana Bash nineteen.

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Speaker 6: You said, quote, there is no question I'm in favor

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Speaker 6: of banning fracking. Fracking, as you know, is a pretty

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Speaker 6: big issue, particularly in your must win state of Pennsylvania.

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Speaker 4: Do you still want to ban fracking?

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Speaker 2: No?

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Speaker 5: And I made that clear on the debate station in

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Speaker 5: twenty twenty.

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Speaker 6: In twenty nineteen, I believe at a town hall you

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Speaker 6: said you were asked, would you commit to implementing a

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Speaker 6: federal ban on fracking on your first day in office,

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Speaker 6: and you said, there's no question I'm in favor of

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Speaker 6: banning fracking. So yes, So it changed in that campaign.

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Speaker 5: In twenty twenty I may very clear where I stand.

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Speaker 5: We are in twenty twenty four, and I've not changed

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Speaker 5: that position, nor will I going forward. I kept my

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Speaker 5: word and I will keep my word.

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Speaker 6: What made you change that position at the time.

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Speaker 5: Well, let's be clear, my values have not changed. I

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Speaker 5: believe it is very important that we take seriously what

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Speaker 5: we must do to guard against what is a clear

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Speaker 5: crisis in terms of the climate.

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Speaker 6: Was there some policy or scientific data that you saw

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Speaker 6: that you said, oh, okay, I get it now.

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Speaker 5: What I have seen is that we can we can grow,

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Speaker 5: and we can increase a thriving clean energy economy without

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Speaker 5: banning fracking.

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Speaker 2: What it's like, My values have not changed, and I

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Speaker 2: think we might hear well, it depends on Trump. It

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Speaker 2: really depends on the tactic Key is going to take.

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Speaker 2: And we're going to talk a lot about this. On

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Speaker 2: the polling part of the problem. On the flip flopping

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Speaker 2: for Kamala is I think it has sunk in on

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Speaker 2: two levels. One is people either believe, as we saw

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Speaker 2: in our word clouds, that she is incompetent or worse,

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Speaker 2: they just have no idea what she believes. And if

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Speaker 2: you planting the seed with Trump, if he can just

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Speaker 2: bring up several instances of changing their mind. On top

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Speaker 2: of if the moderators do a decent enough job of

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Speaker 2: bringing up some past positions America, which will really pay

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Speaker 2: attention very closely to Kamala for the first time tomorrow night.

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Speaker 2: It's a high stakes moment where she needs to have

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Speaker 2: a way better answer and quote just repeating my values

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Speaker 2: have not changed on a loop, it's not going to

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Speaker 2: satisfy them in public at this time.

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Speaker 1: So I read that interview question a little bit different

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Speaker 1: from you.

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Speaker 4: I don't I think her answer is about as good,

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Speaker 4: Like what are you going to say?

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Speaker 3: Oh, yeah, but that's true, that's not problem.

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Speaker 4: It's like, yeah, you have she's got a reality issue.

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Speaker 4: What the honest answer is?

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Speaker 1: Well, then I was running in a dumb prout, a primery,

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Speaker 1: and I thought that was the best thing for me

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Speaker 1: to say, was that. And now I'm in a different position,

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Speaker 1: and so I mean, you can't say that, right that,

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Speaker 1: So you can't be honest, So what's the best thing

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Speaker 1: you can say. When I was covering her this interview

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Speaker 1: with Ryan, he was like, yeah, her values haven't changed.

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Speaker 1: She wanted to be president then and she wants to

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Speaker 1: be president now. You can't exactly say that, so so yeah,

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Speaker 1: this is this is a problem for her now. On

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Speaker 1: the other hand, obviously Trump changes position like eighty five

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Speaker 1: times on abortion in the past two weeks. So it's

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Speaker 1: not like he's been consistent. But for some reason, I

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Speaker 1: think because of his style, because he says all these

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Speaker 1: wild things that are like, you know, weird and crazy

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Speaker 1: and unpopular or whatever. The wishy wash you flip flop

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Speaker 1: brand just doesn't stick to him in quite the same way.

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Speaker 4: And this is a legitimate hit on Kama, like she

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Speaker 4: doesn't really believe anything.

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Speaker 1: She never has demonstrated that she has a consistent principle.

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Speaker 1: And it's the problem that so many Democrats get into

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Speaker 1: where they're so overly cautious and focused tested that rather

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Speaker 1: than illustrating to Americans that they're going to like, you know,

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Speaker 1: compromise and do things that are broadly popular, instead it

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Speaker 1: demonstrates to Americans that, like, they don't really have a core.

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Speaker 1: They're not going to fight for anything. They're sort of

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Speaker 1: unprincipled and you can't rely on them. And that's that's

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Speaker 1: the hole that Kama has fallen into, I think at

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Speaker 1: this point. So, yeah, it was a she came in,

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Speaker 1: she prepared for that interview, she knew she was going

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Speaker 1: to get that question. That was the answer she planned

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Speaker 1: to give. It's not that great an answer, but what

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Speaker 1: else are you going to say?

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Speaker 3: I think that's all.

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Speaker 2: She's a really good point, you know, But the problem is,

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Speaker 2: I come back to one of the things I loved

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Speaker 2: most about the Trump twenty sixteen campaign is when they

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Speaker 2: were like, why did you demo? Donate to Demo? He's like,

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Speaker 2: I was playing the system. They're like, why didn't you

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Speaker 2: pay my taxess? Like, you're an idiot if you're rich

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Speaker 2: and you pay your taxes. There was a level of

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Speaker 2: honesty to that where for some reason that really resonated

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Speaker 2: with a lot of people.

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Speaker 4: She should just be like, I'm telling people what they

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Speaker 4: want to hear.

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Speaker 2: In a certain sense, I think she should be like, look,

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Speaker 2: it was twenty nineteen. We had a lot of beliefs.

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Speaker 2: A lot has changed. The person next to me is

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Speaker 2: a fundamental threat to my country. I'm doing everything possible

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Speaker 2: in order to win. I for real, Like in the

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Speaker 2: way that Quentin Tarantino just said, sometimes it's just about

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Speaker 2: winning some sort of cold calculus like that and a

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Speaker 2: genuine honesty from a politician who we know to just

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Speaker 2: be changing her answers based upon the moment, that might

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Speaker 2: be enough to actually satisfy and to quell it, because

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Speaker 2: it's not like Trump is not guilty of the exact

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Speaker 2: same thing.

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Speaker 1: Well, I think so my suggestion for perhaps what would

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Speaker 1: be closer to the truth, because that's I mean, that's

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Speaker 1: what you're getting at, is like, you know, an answer

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Speaker 1: that was.

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Speaker 4: Closer to the truth would probably land better.

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Speaker 1: And there's a way you can frame pandering as a positive,

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Speaker 1: like listen, I'm responsive to where the American people are

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Speaker 1: on their issue and so yes, when I was running then,

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Speaker 1: you know, the American people were in a different place,

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Speaker 1: and I've as Vice president, I've listened to them, I've

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Speaker 1: heard their concerns. I've been in those rooms where the

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Speaker 1: decisions have made. And as a result of that and

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Speaker 1: as a result of you know, the American people shifting

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Speaker 1: on what they would like to see, I have also

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Speaker 1: shifted because I'm responsive to the people.

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Speaker 4: Blah blah blah.

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Speaker 1: That's a way to like put a positive spin on pandering.

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Speaker 1: I guess that perhaps would be I don't think it's

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Speaker 1: a bad things there.

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Speaker 2: You're running it against Trump. Trump, so he wants a

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Speaker 2: band bitcoin nice pro bitcoin? Why because the big point

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Speaker 2: people gave him a lot of money. Yeah, that's basically

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Speaker 2: what he said.

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Speaker 3: He goes, Yeah, these people have a hell of a

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Speaker 3: lot of money. It's interesting, you know. That's listen.

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Speaker 2: That's firstly, one of the things I appreciate about Trump

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Speaker 2: because at the very least, when he's telling you the

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Speaker 2: truth genuinely is sometimes about his own motivations. Let's get

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Speaker 2: to Donald Trump then, in terms of his best and

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Speaker 2: worst debate moments, he has had several variations of debate

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Speaker 2: and one of the positives around Trump is we have

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Speaker 2: seen him not lately in a debate, but over the

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Speaker 2: years participate in many GOP presidential debates. Now, what is

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Speaker 2: it five presidential debates, three against Hillary Clinton, two against

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Speaker 2: Joe Biden. Arguably some of his best debate performance has

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Speaker 2: happened in twenty sixteen against Hillary, the most famous one

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Speaker 2: being you'd be in jail when litigating the email scandal.

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Speaker 7: Let's take a listen, can fact check him, fact check,

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Speaker 7: fact check him in real time. Last time, at the

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Speaker 7: first debate, we had millions of people fact checking, so

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Speaker 7: I expect we'll have millions more fact checking because you

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Speaker 7: know it is it's just awfully good that someone with

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Speaker 7: the temperament of Donald Trump is not in charge of

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Speaker 7: the law in our country.

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Speaker 2: Because you'd be in jail.

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Speaker 4: Secretary Clinton.

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Speaker 8: We want to remind the audience to please not.

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Speaker 3: Talk out loud. Please do not applaud You're just wasting.

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Speaker 2: Time God Anderson sports circuiting.

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Speaker 3: I mean, look, it was a great moment. It was

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Speaker 3: what it lived on. It was everywhere virality.

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Speaker 2: Clearly she didn't know what to do, and in a

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Speaker 2: certain sense, like that's really.

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Speaker 3: What you want out of a presidential debate.

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Speaker 2: I mean, like I've said it before, and you know,

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Speaker 2: very famously before the most consequential debate of American history.

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Speaker 3: Debates generally don't matter. This one.

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Speaker 2: I am going to change my tune on this just

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Speaker 2: because Kama is unknown and the more recent polling from

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Speaker 2: the New York Times was actually very validating in a

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Speaker 2: sense that I always have to put my faith in people.

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Speaker 3: You know, sometimes you shouldn't.

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Speaker 2: But when you look at that and you say, you know,

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Speaker 2: the twenty five percent or whatever of undecided voters or like,

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Speaker 2: I don't know what this lady stands for, they are

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Speaker 2: paying attention. These are people who are typically engaged. They're

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Speaker 2: not rotting their brains all the time. They actually are

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Speaker 2: thinking about things, and they're saying, Okay, what does this

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Speaker 2: lady believe? That is very important for Donald Trump in

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Speaker 2: that moment. What he revealed about Hillary is he hit

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Speaker 2: her with both the fundamental one of this woman corrupt,

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Speaker 2: this woman believes nothing. That was a core feeling to Americans.

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Speaker 2: So what he was going to try and capture in

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Speaker 2: this debate, I think looking at all of this would

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Speaker 2: be instead of talking about himself, his biggest problem is

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Speaker 2: look at this woman, she believes absolutely nothing and putting

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Speaker 2: that on her and possibly shorting her, having her short circuit.

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Speaker 2: That would be his best possible outcome from tomorrow night.

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Speaker 4: Yeah.

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Speaker 1: Trump's best moments, really, they all are from twenty sixteens,

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Speaker 1: which raises the question of whether he still has that

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Speaker 1: in him or not, Because we honestly haven't haven't seen

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Speaker 1: I mean he Look, he has far more debate experience.

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Speaker 4: Than Kamala does.

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Speaker 1: He did you know he did all those twenty sixteen

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Speaker 1: Republican primary debates, he did all those debates with Hillary Clinton,

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Speaker 1: he did the one debate with Joe Biden. He's had

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Speaker 1: more reps with regards to debates. He's better on his feet,

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Speaker 1: you know. I mean that moment there with Hillary is

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Speaker 1: not something you can prepare for. You just have to

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Speaker 1: be like reactive in the moment. And he is a showman.

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Speaker 1: He is on his feet, or at least he was.

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Speaker 1: And you know, we focused a lot, understandably on Biden's decline,

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Speaker 1: and by the way, we about to show you some

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Speaker 1: clips from Biden, like not that long ago and Biden

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Speaker 1: in that most recent debate that are just shocking in

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Speaker 1: terms of his level of decline.

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Speaker 3: But we were.

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Speaker 1: Watching we'll probably break play this in our debate preview tomorrow.

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Speaker 1: We're watching him getting this basic question about childcare last

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Speaker 1: week and it just was a disaster. There wasn't a

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Speaker 1: single coherent sentence that he was able to articulate. And

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Speaker 1: so I listen, this is an older guy too, who

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Speaker 1: you know, doesn't.

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Speaker 4: Exactly have a healthy lifestyle.

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Speaker 1: And it's worth asking too whether he still has that

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Speaker 1: level of twenty sixteen performance in him as well. So

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Speaker 1: to me, that's one of the big questions is whether

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Speaker 1: there's always high expectations for Trump coming into a debate,

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Speaker 1: because that's was his thing, right, that was how everybody

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Speaker 1: came to you know, the Republicans came to fall in

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Speaker 1: love with him. That was how he's able to defeat

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Speaker 1: Hillary Clinton was these dominant debates moments, and we just

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Speaker 1: haven't really seen any of those in quite a long time.

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Speaker 1: So he goes in with very high expectations, and you know,

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Speaker 1: it's a real question whether he can meet the moment.

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Speaker 1: And it's also he may have his advisors wanted the

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Speaker 1: mics to be muted. I you know, I'm sort of

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Speaker 1: annoyed with fixating on these rules, but it does matter.

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Speaker 4: They wanted the mics to be muted.

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Speaker 1: That is a safe strategy for him because it kind

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Speaker 1: of keeps him on the rails. However, his best moment

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Speaker 1: like that, no one would have heard it if the

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Speaker 1: mic had been muted in between answers because she was

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Speaker 1: still speaking.

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Speaker 3: That was my point the first time around.

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Speaker 2: It ended up being incredibly consequential only because it kept

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Speaker 2: him out of the conversation while Biden hung himself.

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Speaker 3: But my assumption going into that.

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Speaker 2: Was Biden was going to deliver some sort of C

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Speaker 2: plus performance, and in a C plus world where look,

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Speaker 2: I mean, what's the best possible expectation for Kamala like

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Speaker 2: a bee right, something like that, we're realistically given what

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Speaker 2: we know about her, especially in live unscripted moments. Well,

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Speaker 2: for Trump, the inability to butt in, I do think

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Speaker 2: really does hurt him now. And I mean the reason

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Speaker 2: why is because of his worst debate performance, which was

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Speaker 2: the very first one, arguably you know, his most consequential,

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Speaker 2: because that ended up being the defining image of Donald Trump.

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Speaker 3: Going into the twenty twenty election, we.

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Speaker 2: Had all of the COVID craziness going on, including him

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Speaker 2: in self contracting COVID, possibly having COVID the first time around,

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Speaker 2: where he'd be constantly interrupted Joe Biden multiple times in

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Speaker 2: twenty twenty. Also, for those who are watching, just watch

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Speaker 2: how different Joe Biden was even in twenty twenty when

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Speaker 2: he was arguably showing many signs of decline already.

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Speaker 3: Let's take a listen to Trump.

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Speaker 9: You should go out and vote.

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Speaker 8: You're in voting.

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Speaker 9: Now vote and let your senators know how on.

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Speaker 8: How you feel.

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Speaker 9: Let vote now. In fact, make sure you in fact

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Speaker 9: let people know is a senator. I'm not going to

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Speaker 9: answer the question because answer that because the question, the

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Speaker 9: question was just rational.

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Speaker 8: Left you shut upson who is on your list?

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Speaker 1: Joe?

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Speaker 8: This is your gentlemen.

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Speaker 10: I think.

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Speaker 8: We have ended the segment.

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Speaker 9: We're going to move on to the second segment. That

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Speaker 9: was really a productive segment, wasn't it?

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Speaker 3: Keep happen?

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Speaker 2: Man?

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Speaker 8: The people understand Joe.

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Speaker 2: I mean, look, that was by far his worst debate performance.

441
00:20:18,040 --> 00:20:21,680
Speaker 2: The worst debate performance was just the interruption, the uh,

442
00:20:21,760 --> 00:20:24,399
Speaker 2: the chaos, and ultimately that's I think what cost him

443
00:20:24,400 --> 00:20:27,640
Speaker 2: the election. If you look at the swing that happened

444
00:20:27,800 --> 00:20:30,359
Speaker 2: of voters which had been up for grabs, a lot

445
00:20:30,480 --> 00:20:34,560
Speaker 2: of white suburban voters. Many of the people wanted stasis,

446
00:20:34,600 --> 00:20:37,760
Speaker 2: they wanted control. That's why they voted for Joe Biden

447
00:20:37,800 --> 00:20:39,879
Speaker 2: because they did not like Donald Trump. It was not

448
00:20:39,920 --> 00:20:42,560
Speaker 2: an affirmative vote for Joe Biden. So if Trump comes

449
00:20:42,600 --> 00:20:45,120
Speaker 2: a cost as quote unquote unlikable, then I think that's

450
00:20:45,160 --> 00:20:48,320
Speaker 2: going to be his worst one. In fact, because both

451
00:20:48,400 --> 00:20:52,760
Speaker 2: candidates are relatively unpopular with their favorability ratings compared to history,

452
00:20:52,800 --> 00:20:55,760
Speaker 2: not necessarily compared to modern day. You kind of want

453
00:20:55,800 --> 00:20:58,480
Speaker 2: to be the negative choice in some cases in terms

454
00:20:58,560 --> 00:21:01,360
Speaker 2: of being not the other person and whoever the other

455
00:21:01,400 --> 00:21:04,200
Speaker 2: person does not like more considering where we are today,

456
00:21:04,400 --> 00:21:07,000
Speaker 2: especially with the with who these two candidates and like

457
00:21:07,200 --> 00:21:10,000
Speaker 2: who they are, that is not who Donald Trump wants

458
00:21:10,040 --> 00:21:11,880
Speaker 2: to be. And in that sense, that's where the muting

459
00:21:11,960 --> 00:21:13,600
Speaker 2: of the mics probably will help him.

460
00:21:13,680 --> 00:21:17,359
Speaker 1: Yeah, definitely, Yeah, absolutely, it prohibits their you know, being

461
00:21:17,400 --> 00:21:20,560
Speaker 1: a performance like that, which was objectively his worst performance, right,

462
00:21:20,720 --> 00:21:23,440
Speaker 1: and you know, and was judged to be so at

463
00:21:23,480 --> 00:21:25,520
Speaker 1: the time. And you know, it wasn't just us saying

464
00:21:25,560 --> 00:21:27,639
Speaker 1: and it was overwhelming.

465
00:21:27,280 --> 00:21:28,760
Speaker 3: That watched it.

466
00:21:29,080 --> 00:21:32,040
Speaker 1: Yeah, and you have to remember too, I mean, at

467
00:21:32,040 --> 00:21:34,560
Speaker 1: that moment, there was just such fatigue from dealing with

468
00:21:34,560 --> 00:21:38,119
Speaker 1: this dude for he was the president. And you remember

469
00:21:38,160 --> 00:21:41,119
Speaker 1: all those crazy COVID press conferences.

470
00:21:40,880 --> 00:21:43,359
Speaker 2: Just continued actually for several months leading up to that.

471
00:21:43,359 --> 00:21:45,800
Speaker 2: I don't know, people remember, right around what was it, July,

472
00:21:46,280 --> 00:21:49,640
Speaker 2: there was a discontinuation of those daily pressers because it became.

473
00:21:49,359 --> 00:21:51,200
Speaker 3: Such a political liability.

474
00:21:51,240 --> 00:21:53,640
Speaker 2: And it is funny to think back I mean basically

475
00:21:53,640 --> 00:21:57,200
Speaker 2: nobody cared about what the briefing room or press conferences,

476
00:21:57,280 --> 00:21:59,879
Speaker 2: you know, for almost all time and afterwards. But the

477
00:22:00,720 --> 00:22:03,600
Speaker 2: ratings for those I remember planning my whole day around them.

478
00:22:03,720 --> 00:22:06,040
Speaker 3: I mean, we're covering obviously, but I wasn't the only one.

479
00:22:06,080 --> 00:22:07,880
Speaker 2: It was tens of millions of people had nothing better

480
00:22:07,960 --> 00:22:09,040
Speaker 2: to do but to watch television.

481
00:22:09,160 --> 00:22:11,320
Speaker 1: Yeah, and so there was massive Trump fatigue, and then

482
00:22:11,520 --> 00:22:14,000
Speaker 1: you have that performance that just reminded people.

483
00:22:14,160 --> 00:22:16,439
Speaker 4: It just emphasized for people the things they hate the

484
00:22:16,480 --> 00:22:18,560
Speaker 4: most about this guy and was like.

485
00:22:18,560 --> 00:22:22,000
Speaker 1: Oh, former years of this, And that's a real risk

486
00:22:22,040 --> 00:22:24,600
Speaker 1: for him right now because at the moment, you know,

487
00:22:25,800 --> 00:22:28,320
Speaker 1: there's some rose colored glasses going on about what his

488
00:22:28,440 --> 00:22:30,440
Speaker 1: term in office was like and what the vibes were

489
00:22:30,520 --> 00:22:33,359
Speaker 1: like and what that felt like for people. So to

490
00:22:33,480 --> 00:22:37,560
Speaker 1: have an in your face reminder of just how exhausting

491
00:22:38,000 --> 00:22:42,040
Speaker 1: having Donald Trump as president was, it could help, you know,

492
00:22:42,119 --> 00:22:44,600
Speaker 1: it could help remove some of those rose color glasses.

493
00:22:44,600 --> 00:22:47,120
Speaker 1: It could really help people remember why they felt like, oh,

494
00:22:47,160 --> 00:22:49,240
Speaker 1: I just can't, I just can't with this guy. I

495
00:22:49,320 --> 00:22:51,879
Speaker 1: just can't do another four years with him. So, you know,

496
00:22:51,920 --> 00:22:56,159
Speaker 1: the mic being muted will certainly help him in that regard.

497
00:22:56,960 --> 00:22:58,919
Speaker 1: But you know that's a risk for him is the

498
00:22:58,960 --> 00:23:00,800
Speaker 1: more time he's in front of the public, the more

499
00:23:00,840 --> 00:23:03,960
Speaker 1: they recall some of the less favorable aspects of him

500
00:23:04,000 --> 00:23:06,159
Speaker 1: and why he's such a divisive figure. And why is

501
00:23:06,200 --> 00:23:09,440
Speaker 1: favorability rating which is you know, I think towards its

502
00:23:09,600 --> 00:23:14,240
Speaker 1: high end right now, Why it historically has remained relatively

503
00:23:14,520 --> 00:23:17,159
Speaker 1: low is because he does have these personality traits that

504
00:23:17,240 --> 00:23:19,120
Speaker 1: people just are not super psyched about.

505
00:23:19,240 --> 00:23:22,760
Speaker 2: Yeah, his favorability rating is you know, relatively I roughly

506
00:23:22,800 --> 00:23:25,080
Speaker 2: like forty six percent or so in the last gallop.

507
00:23:25,440 --> 00:23:28,240
Speaker 3: Look at who he was. I mean, it's not great.

508
00:23:28,320 --> 00:23:30,880
Speaker 2: It's also not bad compared to where he's been. I've

509
00:23:30,880 --> 00:23:33,520
Speaker 2: seen him dip into the low thirties. As I have

510
00:23:33,600 --> 00:23:36,879
Speaker 2: said multiple times, the most unpopular thing he ever did

511
00:23:36,960 --> 00:23:39,080
Speaker 2: as president was past the Tax Cuts and Jobs Act.

512
00:23:39,160 --> 00:23:41,480
Speaker 2: It was the day that Tax Cuts and Jobsack passed,

513
00:23:41,480 --> 00:23:44,560
Speaker 2: which was the single lowest day for the Trump presidency.

514
00:23:45,000 --> 00:23:47,840
Speaker 2: Let's also though, relive, you know why Biden is no

515
00:23:47,920 --> 00:23:51,520
Speaker 2: longer in the race because as we famous I famously said,

516
00:23:51,560 --> 00:23:53,160
Speaker 2: I was like debate still really little mad at that match.

517
00:23:53,359 --> 00:23:57,320
Speaker 2: Probably won't be that problem. Last words, it's fun being

518
00:23:57,400 --> 00:24:01,119
Speaker 2: proven wrong at least makes things interesting. By the moment

519
00:24:01,359 --> 00:24:04,240
Speaker 2: that we all truly understood that he was cooked, roughly

520
00:24:04,359 --> 00:24:07,639
Speaker 2: ten minutes into the debate, the moment that cost him

521
00:24:07,680 --> 00:24:09,760
Speaker 2: the presidency, Let's take a listen, make.

522
00:24:09,680 --> 00:24:12,240
Speaker 11: Sure that all those things we need to do, childcare,

523
00:24:12,520 --> 00:24:15,639
Speaker 11: elder care, making sure that we continue to suppent stems

524
00:24:15,680 --> 00:24:18,159
Speaker 11: in our healthcare system, making sure that we're able to

525
00:24:18,200 --> 00:24:23,080
Speaker 11: make every single solitary person eligible for what I've been

526
00:24:23,080 --> 00:24:26,480
Speaker 11: able to do with the with the COVID, I just

527
00:24:26,520 --> 00:24:30,199
Speaker 11: could be with dealing with everything we have to do

528
00:24:30,280 --> 00:24:37,879
Speaker 11: with Look, if we finally beat medicare.

529
00:24:37,800 --> 00:24:39,000
Speaker 3: Thank you President Biden.

530
00:24:39,040 --> 00:24:42,560
Speaker 10: President Trump, Well, he's right, he did beat medicare, beat

531
00:24:42,560 --> 00:24:43,119
Speaker 10: it to death.

532
00:24:45,280 --> 00:24:48,840
Speaker 2: And it was also followed by what Trump's you know,

533
00:24:48,880 --> 00:24:51,639
Speaker 2: that was another thing Trump was. He was disciplined in

534
00:24:51,720 --> 00:24:53,920
Speaker 2: a way where the only time even really acknowledge how

535
00:24:53,920 --> 00:24:56,359
Speaker 2: cook Biden was is he said something along the lines

536
00:24:56,400 --> 00:24:57,720
Speaker 2: of He's like, I don't even know what he said.

537
00:24:57,760 --> 00:24:59,480
Speaker 3: He doesn't even know what he said.

538
00:24:59,520 --> 00:25:01,800
Speaker 2: But Trump was not the focus of that debate, you know,

539
00:25:01,920 --> 00:25:03,399
Speaker 2: because you watched Biden.

540
00:25:03,520 --> 00:25:04,000
Speaker 3: That was it.

541
00:25:04,040 --> 00:25:06,399
Speaker 2: That was I think roughly five to ten minutes into

542
00:25:06,440 --> 00:25:09,160
Speaker 2: the open we beat Medicare. I mean, it became probably

543
00:25:09,200 --> 00:25:11,840
Speaker 2: the most famous moment, and that part of the crazy

544
00:25:11,840 --> 00:25:15,280
Speaker 2: part was you go into it and you see, it

545
00:25:15,359 --> 00:25:16,440
Speaker 2: was from the beginning.

546
00:25:16,600 --> 00:25:18,439
Speaker 3: It wasn't that it tailed off, you know.

547
00:25:18,560 --> 00:25:20,719
Speaker 2: And previously, as you and I have watched I think,

548
00:25:20,880 --> 00:25:22,240
Speaker 2: you know, the State of the Union and others, he

549
00:25:22,280 --> 00:25:24,720
Speaker 2: would have a strong thirty forty five things start to

550
00:25:24,760 --> 00:25:25,120
Speaker 2: go down.

551
00:25:25,400 --> 00:25:27,040
Speaker 3: Hour fifteen, things are bad.

552
00:25:27,240 --> 00:25:30,920
Speaker 2: But with Biden, you know, sundowning started at the very beginning.

553
00:25:31,200 --> 00:25:33,040
Speaker 2: He blamed a jet lag, you know, even though he'd

554
00:25:33,040 --> 00:25:34,840
Speaker 2: been in the country for seven days, and we can

555
00:25:35,200 --> 00:25:38,680
Speaker 2: I don't have to litigate it all roughly ancient history,

556
00:25:38,680 --> 00:25:39,840
Speaker 2: but it was nuts litigated.

557
00:25:39,840 --> 00:25:41,560
Speaker 3: It was truly nuts.

558
00:25:41,600 --> 00:25:44,040
Speaker 2: And it does show you that when these things matter,

559
00:25:44,119 --> 00:25:46,960
Speaker 2: they matter a lot, and for Comma, it definitely matters

560
00:25:46,960 --> 00:25:48,879
Speaker 2: a lot more than the average presidential candidate.

561
00:25:49,080 --> 00:25:52,160
Speaker 1: The other thing is that because the focus was all

562
00:25:52,200 --> 00:25:54,840
Speaker 1: on Biden, because we were all just like watching this

563
00:25:54,920 --> 00:25:58,679
Speaker 1: train wreck in real time, shocked and horrified by you know,

564
00:25:58,760 --> 00:26:02,040
Speaker 1: even we'd been very realistic about the level of decline

565
00:26:02,080 --> 00:26:04,720
Speaker 1: that Biden had experienced, but they'd hidden him so much

566
00:26:05,400 --> 00:26:09,280
Speaker 1: that actually seeing it it truly was a shocking That

567
00:26:09,400 --> 00:26:11,200
Speaker 1: was a shocking moment, and that was not the only

568
00:26:11,240 --> 00:26:14,280
Speaker 1: one either, where you're just like Jesus Christ, what is

569
00:26:14,320 --> 00:26:18,360
Speaker 1: going on here? What are we doing? And so there

570
00:26:18,480 --> 00:26:22,040
Speaker 1: was no scrutiny on Trump, And if you go back

571
00:26:22,080 --> 00:26:24,239
Speaker 1: and look at his it's not like he was, you know,

572
00:26:24,640 --> 00:26:27,760
Speaker 1: really fantastic in this debate. He just had to like

573
00:26:27,840 --> 00:26:30,399
Speaker 1: stand there and let Joe hang himself. In fact, it

574
00:26:30,440 --> 00:26:32,719
Speaker 1: went too well for Trump in the end, because I'm

575
00:26:32,760 --> 00:26:34,960
Speaker 1: sure he'd much rather be running against Joe Biden still

576
00:26:34,960 --> 00:26:38,240
Speaker 1: at this point, which has been quite evident. So now

577
00:26:38,280 --> 00:26:40,320
Speaker 1: he's going to have an opponent who is you know,

578
00:26:40,480 --> 00:26:43,439
Speaker 1: much younger and much more with it than that guy was,

579
00:26:44,000 --> 00:26:47,040
Speaker 1: and he will have to, you know, face some scrutiny,

580
00:26:47,160 --> 00:26:49,679
Speaker 1: and he will have to deal with things that are

581
00:26:49,760 --> 00:26:52,600
Speaker 1: uncomfortable for him, that are challenging for him as well

582
00:26:52,640 --> 00:26:54,399
Speaker 1: thinking on his feet in real time.

583
00:26:54,600 --> 00:26:56,760
Speaker 4: And you know, the bar is quite high for him.

584
00:26:56,840 --> 00:27:00,680
Speaker 1: So I do think mostly people are feel about Donald

585
00:27:00,680 --> 00:27:02,560
Speaker 1: Trump the way they're going to feel about Donald Trump,

586
00:27:02,720 --> 00:27:04,560
Speaker 1: like a lot of he's been not just in the

587
00:27:04,600 --> 00:27:06,840
Speaker 1: public eye since he was running for president. This is

588
00:27:06,880 --> 00:27:08,879
Speaker 1: a man who's been a fixture of American media and

589
00:27:08,920 --> 00:27:13,320
Speaker 1: television for my entire life. So it's very unlikely you're

590
00:27:13,320 --> 00:27:15,600
Speaker 1: going to have a major shift in how people feel

591
00:27:15,600 --> 00:27:17,160
Speaker 1: about him. The best you can hope for if you're

592
00:27:17,160 --> 00:27:20,000
Speaker 1: the Democrats is like, Okay, remind people some of his

593
00:27:20,119 --> 00:27:22,720
Speaker 1: less favorable traits. But it is all on the line

594
00:27:22,720 --> 00:27:27,320
Speaker 1: for Kamala Harris because people are and the polling numbers

595
00:27:27,480 --> 00:27:28,920
Speaker 1: we'll show you here in a minute that we've teased

596
00:27:28,920 --> 00:27:31,440
Speaker 1: a few times. This really underscores people really are trying

597
00:27:31,440 --> 00:27:33,240
Speaker 1: to figure out, like, Okay, who is this lady?

598
00:27:33,440 --> 00:27:34,480
Speaker 4: How do I feel about her?

599
00:27:34,760 --> 00:27:37,720
Speaker 1: The impressions of her, both positive and negative, they're very soft,

600
00:27:38,640 --> 00:27:41,840
Speaker 1: and she could you know, she could have a stellar

601
00:27:41,960 --> 00:27:43,679
Speaker 1: night where people feel like, Okay, I can see this,

602
00:27:44,119 --> 00:27:46,560
Speaker 1: I feel good about it, like she's up to the task.

603
00:27:46,760 --> 00:27:49,520
Speaker 1: Let's go, I like the agenda, et cetera. She could

604
00:27:49,600 --> 00:27:53,680
Speaker 1: be really really knocked off, knocked off guard, knocked off balance,

605
00:27:54,040 --> 00:27:57,000
Speaker 1: where it raises a lot more questions about can I

606
00:27:57,000 --> 00:27:59,520
Speaker 1: see this person as commander in chief? Do I really

607
00:27:59,520 --> 00:28:02,760
Speaker 1: think she's ready to elevate into the position of president

608
00:28:02,760 --> 00:28:06,320
Speaker 1: of the United States? So for her, it's extraordinarily consequential

609
00:28:06,480 --> 00:28:08,840
Speaker 1: and you know, it's no surprise that she's taking it

610
00:28:08,880 --> 00:28:12,840
Speaker 1: as seriously as she appears to with the debate prep sessions. Trump,

611
00:28:12,840 --> 00:28:16,359
Speaker 1: on the other hand, he doesn't really do traditional debate

612
00:28:16,400 --> 00:28:18,560
Speaker 1: prep I guess in the way that most candidates do.

613
00:28:18,640 --> 00:28:20,439
Speaker 1: Most candidates do the whole like we're going to be

614
00:28:20,480 --> 00:28:22,240
Speaker 1: on stage, someone's going to play the role of my

615
00:28:22,600 --> 00:28:25,600
Speaker 1: opponent or opponents. We're going to like go through it

616
00:28:25,680 --> 00:28:29,119
Speaker 1: like this is the real event. Trump does more of

617
00:28:29,160 --> 00:28:32,040
Speaker 1: it reportedly informal, like people are just sitting around the

618
00:28:32,080 --> 00:28:34,040
Speaker 1: table kind of throwing questions at him. Kind of a

619
00:28:34,080 --> 00:28:36,160
Speaker 1: deal that obviously has worked for him in the past.

620
00:28:36,160 --> 00:28:38,480
Speaker 1: So it's his process, and it's not that he's not

621
00:28:38,520 --> 00:28:40,760
Speaker 1: taken seriously necessarily, it's just that's.

622
00:28:40,640 --> 00:28:41,360
Speaker 4: The way he approaches.

623
00:28:41,400 --> 00:28:44,080
Speaker 2: If anything, I mean, the old the traditional process with

624
00:28:44,160 --> 00:28:47,760
Speaker 2: Kamala is indicative of a traditional politician, where you want

625
00:28:47,760 --> 00:28:51,400
Speaker 2: to be highly prepared, you want to feel comfortable. Trump

626
00:28:51,560 --> 00:28:53,920
Speaker 2: is somebody who's very used In fact, probably the most

627
00:28:53,920 --> 00:28:56,800
Speaker 2: comfortable when the camera is on. He's most comfortable when

628
00:28:56,800 --> 00:28:59,720
Speaker 2: he's performing. So he just needs more help from the

629
00:28:59,760 --> 00:29:02,480
Speaker 2: con where as opposed to Kamala and others and a

630
00:29:02,560 --> 00:29:05,240
Speaker 2: lot of them are not natural performers in the same

631
00:29:05,280 --> 00:29:07,880
Speaker 2: way that Donald Trump is. They need to feel immersed in.

632
00:29:07,960 --> 00:29:10,640
Speaker 2: I mean, look, it's a weird thing. Being on camera

633
00:29:10,800 --> 00:29:14,280
Speaker 2: is weird. Being on a stage against another person is

634
00:29:14,280 --> 00:29:17,240
Speaker 2: also weird. If anybody's ever participated in a high school

635
00:29:17,280 --> 00:29:19,320
Speaker 2: debate or any of these other things, it takes a

636
00:29:19,320 --> 00:29:21,880
Speaker 2: couple of reps to even get use to what it's like.

637
00:29:21,920 --> 00:29:24,920
Speaker 2: And even then, you know, practice is very, very different

638
00:29:24,920 --> 00:29:27,360
Speaker 2: from what the real thing feels like. So for Kamala,

639
00:29:27,520 --> 00:29:29,680
Speaker 2: it makes sense. Now, who's she taking advice from. Let's

640
00:29:29,680 --> 00:29:31,040
Speaker 2: put this up there on the screen.

641
00:29:32,000 --> 00:29:32,560
Speaker 3: Caught my eye.

642
00:29:33,160 --> 00:29:37,960
Speaker 2: Hillary is offering Kamala some debate performance. She claims that

643
00:29:38,040 --> 00:29:40,720
Speaker 2: she won all three debates against Donald Trump and says,

644
00:29:40,840 --> 00:29:42,680
Speaker 2: quote he be rattled.

645
00:29:43,000 --> 00:29:43,240
Speaker 12: Yeah.

646
00:29:43,280 --> 00:29:45,360
Speaker 2: Well it's like, does it matter if you quote unquote

647
00:29:45,360 --> 00:29:46,640
Speaker 2: win a debate and you lose the election?

648
00:29:46,760 --> 00:29:46,920
Speaker 5: Hm.

649
00:29:47,160 --> 00:29:49,000
Speaker 3: Some people may wonder one of.

650
00:29:49,000 --> 00:29:52,200
Speaker 1: Her quotes here, she said, when I said he was

651
00:29:52,240 --> 00:29:55,360
Speaker 1: a Russian puppet, he just sputtered on stage. I think

652
00:29:55,480 --> 00:29:57,440
Speaker 1: that's an example of how you get out of fact

653
00:29:57,480 --> 00:29:58,080
Speaker 1: about him.

654
00:29:57,960 --> 00:30:01,120
Speaker 4: That really unnerves him. Yeah, that really well, yeah, that's

655
00:30:01,160 --> 00:30:01,840
Speaker 4: definitely an issue.

656
00:30:01,840 --> 00:30:04,120
Speaker 2: And here's the reason why it actually is an issue.

657
00:30:04,160 --> 00:30:08,080
Speaker 2: Is Philippe Rains, who was one of her closest advice, yes,

658
00:30:08,240 --> 00:30:11,400
Speaker 2: who also was the person playing Trump in the debate.

659
00:30:11,520 --> 00:30:14,240
Speaker 2: He is in the Kamala room prepping and helping and

660
00:30:14,280 --> 00:30:18,560
Speaker 2: playing Donald Trump. So she is actually undergoing a traditional

661
00:30:19,080 --> 00:30:22,440
Speaker 2: like Clintonian camp. Look, I'll tell you this on Rains,

662
00:30:22,920 --> 00:30:24,800
Speaker 2: I don't know. I wouldn't take any advice from him.

663
00:30:24,840 --> 00:30:25,760
Speaker 2: I'll just put it that way.

664
00:30:25,840 --> 00:30:30,800
Speaker 1: Here's the thing, too, is she has she is the

665
00:30:30,800 --> 00:30:34,720
Speaker 1: person responsible for making this debate as consequential as it is,

666
00:30:35,000 --> 00:30:38,600
Speaker 1: because if she had done more, been less cautious, done

667
00:30:38,680 --> 00:30:41,840
Speaker 1: more interviews, been out there more, then there wouldn't be

668
00:30:41,880 --> 00:30:44,960
Speaker 1: so much writing on each one of these interactions. I mean,

669
00:30:44,960 --> 00:30:47,840
Speaker 1: that's why the interview with Dana Bash felt like so

670
00:30:48,280 --> 00:30:50,080
Speaker 1: such a big deal that you know, we had to

671
00:30:50,120 --> 00:30:52,000
Speaker 1: drop a breaking to the segment and cover the whole

672
00:30:52,000 --> 00:30:54,000
Speaker 1: thing and every word that she said, because she just

673
00:30:54,680 --> 00:30:58,160
Speaker 1: isn't doing a lot of you know, there's no press conferences.

674
00:30:58,160 --> 00:31:01,280
Speaker 1: There's been one interview, and you know, now we get

675
00:31:01,320 --> 00:31:06,000
Speaker 1: to analyze this debate. But the scarcity of Kamala Harris

676
00:31:06,000 --> 00:31:10,960
Speaker 1: extemporaneous discussion makes it so that every part of it

677
00:31:11,000 --> 00:31:14,160
Speaker 1: is extra scrutinized and extra impactful because it's all people

678
00:31:14,200 --> 00:31:16,960
Speaker 1: have to go on in terms of her ability to

679
00:31:17,040 --> 00:31:21,640
Speaker 1: perform what she believes, etc. So she has herself raised

680
00:31:21,640 --> 00:31:25,080
Speaker 1: the stakes here in terms of the import of this debate,

681
00:31:25,160 --> 00:31:27,120
Speaker 1: which is you know, and that in the fact that

682
00:31:27,160 --> 00:31:30,560
Speaker 1: this race could not possibly be closer. So even if

683
00:31:30,600 --> 00:31:33,600
Speaker 1: the debate moves the needle like half a point, it

684
00:31:33,640 --> 00:31:36,080
Speaker 1: could be determinated. That's where we are right.

685
00:31:36,000 --> 00:31:36,760
Speaker 4: Now in this race.

686
00:31:37,000 --> 00:31:38,959
Speaker 1: The other thing that was interesting just in terms of

687
00:31:39,480 --> 00:31:42,080
Speaker 1: getting inside of Trump's brain and how he thinks about

688
00:31:42,120 --> 00:31:44,400
Speaker 1: these things. Let's put this truth Social he put up

689
00:31:44,400 --> 00:31:46,280
Speaker 1: on the screen. He's obviously thinking a lot about the

690
00:31:46,320 --> 00:31:49,400
Speaker 1: optics he posted on True Social.

691
00:31:49,520 --> 00:31:51,520
Speaker 4: No boxes or artificial.

692
00:31:51,040 --> 00:31:53,800
Speaker 1: Lifts will be allowed to stand on during my upcoming

693
00:31:53,840 --> 00:31:57,440
Speaker 1: debate with Comrade Kamala Harris. We had this out previously

694
00:31:57,480 --> 00:31:59,640
Speaker 1: with former New York City Mayor Michael Bloomberg when he

695
00:31:59,680 --> 00:32:02,280
Speaker 1: was in anit and he was not allowed a quote lift.

696
00:32:02,640 --> 00:32:05,440
Speaker 1: It would be a form of cheating. The Democrats cheat enough.

697
00:32:05,520 --> 00:32:09,520
Speaker 1: You are who you are, it was determined. So Kamala

698
00:32:09,600 --> 00:32:11,800
Speaker 1: is relatively sure. I think she's like five foot four.

699
00:32:11,960 --> 00:32:13,080
Speaker 1: Trump is what six.

700
00:32:13,000 --> 00:32:16,200
Speaker 3: Two, like six' three. He's big. He's a big guy,

701
00:32:16,520 --> 00:32:17,680
Speaker 3: six two and he's taller than me.

702
00:32:17,720 --> 00:32:19,960
Speaker 4: So there will be quite a high disparity there.

703
00:32:20,080 --> 00:32:22,320
Speaker 1: And again he's saying about the optics. I mean it

704
00:32:22,400 --> 00:32:26,360
Speaker 1: is true, like, what's our shortest president ever? Look, come on,

705
00:32:26,440 --> 00:32:28,360
Speaker 1: saga history buff brids.

706
00:32:28,120 --> 00:32:29,240
Speaker 4: You don't know this one.

707
00:32:29,400 --> 00:32:31,640
Speaker 1: I mean, look, well, it's also a difference in like

708
00:32:31,720 --> 00:32:34,360
Speaker 1: the historic era versus the TV era.

709
00:32:34,920 --> 00:32:38,680
Speaker 2: But in the shortest president James Madison, he was five

710
00:32:38,760 --> 00:32:41,840
Speaker 2: to four. Let's see the height score Hoial Candida. The

711
00:32:41,880 --> 00:32:44,960
Speaker 2: tallest president ever is Abraham Lincoln. I remember talking about

712
00:32:44,960 --> 00:32:46,880
Speaker 2: this under rohnd de Sandis because I was like, oh,

713
00:32:46,880 --> 00:32:47,560
Speaker 2: he's five eleven.

714
00:32:47,760 --> 00:32:49,440
Speaker 4: There is where this lifts.

715
00:32:49,480 --> 00:32:51,360
Speaker 3: Look if you look at the modern era we have.

716
00:32:52,320 --> 00:32:56,000
Speaker 2: Let's see, in terms of the modern era, I don't

717
00:32:56,000 --> 00:32:59,080
Speaker 2: believe a president has been elected since like the nineteen

718
00:32:59,160 --> 00:33:03,520
Speaker 2: forties who was shorter than five ten. Now, to be fair,

719
00:33:03,600 --> 00:33:07,320
Speaker 2: let's see what's average US male height.

720
00:33:07,760 --> 00:33:09,800
Speaker 4: This is why women can break the glasses. We need

721
00:33:09,840 --> 00:33:11,240
Speaker 4: to get like WNBA average.

722
00:33:11,280 --> 00:33:12,480
Speaker 3: No, okay, but here's what's interesting.

723
00:33:12,480 --> 00:33:15,280
Speaker 2: The average US male height today is five feet nine inches,

724
00:33:15,320 --> 00:33:17,880
Speaker 2: whereas every president. Yeah, it looks like in the modern

725
00:33:17,920 --> 00:33:21,440
Speaker 2: era has been over some five feet ten so above average.

726
00:33:21,480 --> 00:33:24,640
Speaker 2: The average US female height today is five feet four inches,

727
00:33:24,680 --> 00:33:26,600
Speaker 2: which is what kamma is average height.

728
00:33:26,800 --> 00:33:29,240
Speaker 3: Yeah, it does feel short. I mean, that's what That's

729
00:33:29,240 --> 00:33:29,800
Speaker 3: what I'm getting.

730
00:33:29,920 --> 00:33:32,360
Speaker 2: I have not looked at the what like the Lancet

731
00:33:32,360 --> 00:33:35,200
Speaker 2: study or any of that, but that's what's showing up from.

732
00:33:35,400 --> 00:33:38,400
Speaker 1: From a little Google, little AI a little bit of answer.

733
00:33:38,640 --> 00:33:40,440
Speaker 3: Oh no, that's from the CDC. Okay, so that's from

734
00:33:40,440 --> 00:33:40,840
Speaker 3: the CDC.

735
00:33:41,680 --> 00:33:44,800
Speaker 1: Point is he's thinking about these optics, and he's not

736
00:33:44,840 --> 00:33:47,960
Speaker 1: crazy to be thinking about these because I mean, he

737
00:33:48,000 --> 00:33:50,200
Speaker 1: will tower over her. And that was one of the

738
00:33:50,280 --> 00:33:53,360
Speaker 1: other dynamics in that Hillary Clinton debate, as he was

739
00:33:53,400 --> 00:33:56,680
Speaker 1: like looming over her in what was sort of menacing way,

740
00:33:56,760 --> 00:33:59,800
Speaker 1: but it was also very like commanding, dominating kind of

741
00:33:59,840 --> 00:34:02,320
Speaker 1: a way. And they're not going to it's not a

742
00:34:02,360 --> 00:34:04,120
Speaker 1: town hall, so they're not gonna be wandering around in

743
00:34:04,120 --> 00:34:05,560
Speaker 1: that weird way that I actually hate.

744
00:34:05,400 --> 00:34:06,080
Speaker 4: With town halls.

745
00:34:06,120 --> 00:34:07,280
Speaker 3: But yeah, I hate it too.

746
00:34:07,400 --> 00:34:11,400
Speaker 1: But you know, he'll be a visually arresting presence certainly,

747
00:34:11,880 --> 00:34:14,640
Speaker 1: And do these things matter, I don't know, but he

748
00:34:15,080 --> 00:34:16,920
Speaker 1: seems to think that they do, and he does have

749
00:34:16,960 --> 00:34:19,520
Speaker 1: a sense of like you know the show, that's his

750
00:34:19,640 --> 00:34:20,360
Speaker 1: greatest gift.

751
00:34:20,560 --> 00:34:23,240
Speaker 4: So anyway, that's some of what was not apparently.

752
00:34:22,840 --> 00:34:23,799
Speaker 3: Falst president right now.

753
00:34:23,840 --> 00:34:29,760
Speaker 2: Third tallest president really wow, Abraham Lincoln was an Abraham

754
00:34:29,800 --> 00:34:31,000
Speaker 2: Lincoln was six feet four.

755
00:34:31,960 --> 00:34:34,359
Speaker 4: So that's not that much taller than Bean Trump.

756
00:34:34,440 --> 00:34:36,000
Speaker 1: Yeah, and Trump is six feet People are ready for

757
00:34:36,000 --> 00:34:38,920
Speaker 1: a change candidate I want. They want a short a

758
00:34:39,000 --> 00:34:41,880
Speaker 1: short woman or I guess an average height woman.

759
00:34:42,040 --> 00:34:46,000
Speaker 2: Shortest president James Madison's second shortest, Benjamin Harrison, Martin van Buren,

760
00:34:46,120 --> 00:34:48,879
Speaker 2: William McKinley, John Adams, John Quincy Adams. So maybe people

761
00:34:48,920 --> 00:34:49,800
Speaker 2: are noticing a trend.

762
00:34:49,960 --> 00:34:50,560
Speaker 3: It's been a lot.

763
00:34:50,640 --> 00:34:53,320
Speaker 2: Basically when the only image you have of a president

764
00:34:53,440 --> 00:34:56,720
Speaker 2: was a literal drawing portrait, that's when I didn't matter.

765
00:34:57,080 --> 00:35:00,759
Speaker 2: In the photographic age, it looked like it mattered a lot.

766
00:35:00,840 --> 00:35:02,480
Speaker 2: And the only way to get around it is to

767
00:35:02,520 --> 00:35:04,759
Speaker 2: be one of the greatest fighting generals of all time.

768
00:35:04,760 --> 00:35:08,040
Speaker 2: You listiess grant and to prove your manliness. So look,

769
00:35:08,239 --> 00:35:10,600
Speaker 2: let nobody say that it doesn't matter. I will say

770
00:35:10,640 --> 00:35:12,799
Speaker 2: on a personal level, you know, when you meet Bill

771
00:35:12,880 --> 00:35:15,200
Speaker 2: Clinton or Donald Trump or even Obama and all this.

772
00:35:15,480 --> 00:35:17,360
Speaker 3: They feel big. I mean Trump in.

773
00:35:17,360 --> 00:35:21,279
Speaker 2: Particular, he's huge, like he actually gigantic and feels that way.

774
00:35:21,520 --> 00:35:25,359
Speaker 2: I remember Clinton feeling very similarly, and actually Clinton's sixty

775
00:35:25,360 --> 00:35:27,960
Speaker 2: two and a half, but he's large like kind of

776
00:35:27,960 --> 00:35:30,160
Speaker 2: in stature, and so there is look, don't like.

777
00:35:30,120 --> 00:35:32,040
Speaker 3: Anybody anyway, there's nothing mean.

778
00:35:32,200 --> 00:35:35,759
Speaker 2: Yeah, true, a very very very good point. He's McDonald's

779
00:35:35,760 --> 00:35:36,240
Speaker 2: to be alive.

780
00:35:36,400 --> 00:35:39,000
Speaker 1: One thing that I do think is my last last lot.

781
00:35:39,000 --> 00:35:40,520
Speaker 1: And then we can move on to the poles and

782
00:35:40,560 --> 00:35:42,799
Speaker 1: again why this is so consequential because the poles are

783
00:35:42,800 --> 00:35:46,480
Speaker 1: so tight. I do think that in terms of the

784
00:35:46,600 --> 00:35:52,720
Speaker 1: expectations setting game, Kamala Harris benefits from relatively low expectations

785
00:35:52,719 --> 00:35:55,960
Speaker 1: for her. I think for Trump, there's you know, perpetually

786
00:35:56,080 --> 00:35:59,359
Speaker 1: very high expectations for him because he did so make

787
00:35:59,440 --> 00:36:03,000
Speaker 1: his name in the political arena in those twenty sixteen debates.

788
00:36:03,160 --> 00:36:05,560
Speaker 1: So I do think that that's an asset she has

789
00:36:05,680 --> 00:36:06,359
Speaker 1: going into this.

790
00:36:06,680 --> 00:36:07,759
Speaker 4: And then there's also the.

791
00:36:07,640 --> 00:36:09,960
Speaker 1: Fact that you know that, like most of the media

792
00:36:10,000 --> 00:36:13,520
Speaker 1: outside of the Fox News and the conservative ecosystem, they're

793
00:36:13,520 --> 00:36:15,960
Speaker 1: going to want to see a positive from her, and

794
00:36:16,040 --> 00:36:19,000
Speaker 1: perhaps people are also going to be somewhat measuring her

795
00:36:19,120 --> 00:36:20,400
Speaker 1: versus the last.

796
00:36:20,200 --> 00:36:22,240
Speaker 4: Guy who literally had to drop out of the race.

797
00:36:22,040 --> 00:36:25,080
Speaker 1: Because the debate performance was so poor last time around.

798
00:36:25,160 --> 00:36:27,560
Speaker 1: So I think that's a you know, that's a benefit

799
00:36:27,640 --> 00:36:30,839
Speaker 1: for her going in that she kind of has won

800
00:36:30,920 --> 00:36:33,240
Speaker 1: the expectations game going into this debate.

801
00:36:34,000 --> 00:36:36,640
Speaker 2: Yeah, I think, I don't know if i'd have to

802
00:36:36,640 --> 00:36:39,200
Speaker 2: think because if we think about expectations, though, yeah, we're

803
00:36:39,200 --> 00:36:41,440
Speaker 2: about to get polls, isn't it a lot higher because

804
00:36:41,480 --> 00:36:45,120
Speaker 2: Americans do feel like, especially undecided voters, feel like they

805
00:36:45,120 --> 00:36:47,360
Speaker 2: don't know a lot about her, so the expectations are

806
00:36:47,400 --> 00:36:49,480
Speaker 2: actually quite high and that they want some clarity.

807
00:36:49,680 --> 00:36:51,319
Speaker 3: That would be my only like kind of.

808
00:36:51,800 --> 00:36:54,480
Speaker 1: And the narrative, my thought is the narrative about her

809
00:36:54,600 --> 00:36:57,040
Speaker 1: is like that she is this very cautious, nervous politician

810
00:36:57,080 --> 00:37:00,440
Speaker 1: who's kind of bad in this in these situations versus

811
00:37:00,600 --> 00:37:03,000
Speaker 1: so the bar I'm talking about the bar being relatively

812
00:37:03,040 --> 00:37:04,960
Speaker 1: low for her in terms of if she's able to

813
00:37:05,040 --> 00:37:09,239
Speaker 1: deliver a relatively confident, commanding performance against a guy who

814
00:37:09,320 --> 00:37:11,200
Speaker 1: you know, is deemed one of the best political debaters

815
00:37:11,239 --> 00:37:15,879
Speaker 1: we've seen, then she will have significantly outperformed expectations.

816
00:37:15,280 --> 00:37:17,040
Speaker 2: For that's fair, and you know, with Trump, I think

817
00:37:17,120 --> 00:37:19,319
Speaker 2: what the risk is is that he just hasn't done

818
00:37:19,360 --> 00:37:21,000
Speaker 2: a lot of these in a long time. And his

819
00:37:21,440 --> 00:37:23,280
Speaker 2: as you said, he's one of the best political debaters

820
00:37:23,280 --> 00:37:24,839
Speaker 2: that we've seen in the modern era.

821
00:37:24,920 --> 00:37:26,840
Speaker 3: His ability to capture the spotlight.

822
00:37:26,920 --> 00:37:30,239
Speaker 2: So he's measured up against himself from almost eight years ago.

823
00:37:30,280 --> 00:37:32,680
Speaker 2: Actually I think literally eight years ago right at this point.

824
00:37:32,719 --> 00:37:34,520
Speaker 2: I mean, think about that on the first as well.

825
00:37:34,560 --> 00:37:36,160
Speaker 2: Do you want to be measured against who you were

826
00:37:36,200 --> 00:37:36,799
Speaker 2: eight years ago?

827
00:37:37,000 --> 00:37:39,359
Speaker 1: That's a long time well, especially when you're at that

828
00:37:39,480 --> 00:37:42,799
Speaker 1: point in her life, you know, on that particular trajectory.

829
00:37:42,880 --> 00:37:43,680
Speaker 3: So all r why don't.

830
00:37:43,480 --> 00:37:46,040
Speaker 1: We'll see just a reminder, we are going to do

831
00:37:46,080 --> 00:37:48,600
Speaker 1: live debate coverage with Ryan and Emily will jump on

832
00:37:48,800 --> 00:37:51,319
Speaker 1: the stream about an hour beforehand to do a little

833
00:37:51,360 --> 00:37:54,680
Speaker 1: preview and mix it up there, do our expectations, et cetera,

834
00:37:54,800 --> 00:37:57,560
Speaker 1: and then we'll cover the debate afterwards as well, So

835
00:37:57,680 --> 00:37:58,640
Speaker 1: make sure to join us here.

836
00:37:58,680 --> 00:37:59,759
Speaker 4: We'll be taking questions from.

837
00:37:59,680 --> 00:38:03,360
Speaker 1: Premium subscribers, so subscribe so you can ask this questions

838
00:38:03,480 --> 00:38:04,080
Speaker 1: or whatever.

839
00:38:06,520 --> 00:38:07,680
Speaker 4: Let's go ahead and get to the polls.

840
00:38:08,239 --> 00:38:10,719
Speaker 1: This was big names from the New York Times put

841
00:38:10,719 --> 00:38:12,440
Speaker 1: this up on the screen. This is considered like an

842
00:38:12,480 --> 00:38:16,840
Speaker 1: A plus poster. When this pole comes down, Washington really reacts,

843
00:38:16,880 --> 00:38:19,960
Speaker 1: and boy did they react to this one. Understandably so

844
00:38:20,239 --> 00:38:24,600
Speaker 1: because it showed significant backsliding for Kamal Harris. She is

845
00:38:24,640 --> 00:38:27,720
Speaker 1: now losing to Donald Trump by a single point forty

846
00:38:27,760 --> 00:38:31,640
Speaker 1: seven to forty eight. That is within the margin of

847
00:38:31,880 --> 00:38:35,920
Speaker 1: error of three percentage points, but obviously not the kind

848
00:38:35,960 --> 00:38:39,520
Speaker 1: of numbers that Democrats want to see right now. Their

849
00:38:39,600 --> 00:38:41,680
Speaker 1: commentary here, they say, mister Trump may have had a

850
00:38:41,760 --> 00:38:44,840
Speaker 1: rough month following the president's President Biden's departure and amid

851
00:38:44,840 --> 00:38:47,440
Speaker 1: the burst of excitement that Miss Harris brought Democrats, but

852
00:38:47,960 --> 00:38:52,480
Speaker 1: the polls suggest his support remains remarkably resilient. Let's put

853
00:38:52,520 --> 00:38:54,839
Speaker 1: the next piece up on the screen. This is what

854
00:38:54,880 --> 00:38:57,200
Speaker 1: we alluded to like eighty five times in the last segment,

855
00:38:57,200 --> 00:38:59,839
Speaker 1: which is they asked this question, very good question to ask,

856
00:39:00,080 --> 00:39:02,160
Speaker 1: do you feel like you still need to learn more

857
00:39:02,200 --> 00:39:04,319
Speaker 1: about Kamala Harris or do you pretty much already know

858
00:39:04,480 --> 00:39:08,040
Speaker 1: what you need to know? Twenty eight percent, so nearly

859
00:39:08,120 --> 00:39:11,080
Speaker 1: a third of the electorate says I feel like I

860
00:39:11,120 --> 00:39:14,480
Speaker 1: need to learn more about Kamala Harris. Versus seventy one

861
00:39:14,560 --> 00:39:16,960
Speaker 1: percent who say they pretty much already know what they

862
00:39:17,040 --> 00:39:19,719
Speaker 1: need to know. The numbers were much lower for Trump

863
00:39:19,800 --> 00:39:22,600
Speaker 1: in terms of like feeling like they needed to learn more.

864
00:39:22,760 --> 00:39:25,719
Speaker 1: And if you look at these cross stabs, which let

865
00:39:25,719 --> 00:39:27,160
Speaker 1: me just keep it up on the screen here for

866
00:39:27,200 --> 00:39:29,759
Speaker 1: a moment, just caution you with the cross stabs. Because

867
00:39:29,760 --> 00:39:32,200
Speaker 1: it's a smaller sample, it's a much broader margin of error,

868
00:39:32,280 --> 00:39:34,560
Speaker 1: So you always take these with even more grains of

869
00:39:34,560 --> 00:39:38,120
Speaker 1: the salt than the overall poll numbers. But the age

870
00:39:38,160 --> 00:39:42,480
Speaker 1: demographic and the demographic that really stands out in terms

871
00:39:42,520 --> 00:39:46,120
Speaker 1: of needing to know more is young Americans eighteen to

872
00:39:46,160 --> 00:39:49,040
Speaker 1: twenty nine, a majority fifty three percent say they need

873
00:39:49,080 --> 00:39:52,839
Speaker 1: to learn more. And then if you look at minority demographics,

874
00:39:52,880 --> 00:39:55,880
Speaker 1: forty one percent of Black Americans, forty three percent of

875
00:39:55,960 --> 00:40:00,319
Speaker 1: Hispanic Americans, and forty four percent of non white, non

876
00:40:00,440 --> 00:40:05,920
Speaker 1: college educated voters say they need to know more. This

877
00:40:06,239 --> 00:40:11,680
Speaker 1: underscores the danger of the strategy that they have been pursuing,

878
00:40:11,920 --> 00:40:14,880
Speaker 1: which has been we'll call it the generic Democrat strategy

879
00:40:15,040 --> 00:40:17,080
Speaker 1: of like we're going to say as little as possible,

880
00:40:17,800 --> 00:40:20,319
Speaker 1: We're not even they just put the issues page up

881
00:40:20,360 --> 00:40:23,560
Speaker 1: on their website. Under pressure, she did give you a

882
00:40:23,600 --> 00:40:25,600
Speaker 1: speech about some of the things she wanted to do,

883
00:40:26,000 --> 00:40:29,279
Speaker 1: but she has been very cautious in terms of, you know,

884
00:40:29,320 --> 00:40:32,520
Speaker 1: going putting herself out in front of the media. They

885
00:40:32,600 --> 00:40:36,680
Speaker 1: haven't been leaning in hard to specifics in terms of

886
00:40:36,719 --> 00:40:41,040
Speaker 1: an agenda, and so you end up in this situation

887
00:40:41,239 --> 00:40:44,840
Speaker 1: where instead of being Barack Obama, where everybody projects on

888
00:40:44,840 --> 00:40:47,400
Speaker 1: you whatever they want to see, instead they're looking at

889
00:40:47,400 --> 00:40:50,319
Speaker 1: her and going, I don't really know who you are

890
00:40:50,520 --> 00:40:53,800
Speaker 1: what you want to do, So you know, this is

891
00:40:54,080 --> 00:40:57,440
Speaker 1: this is the risk of the strategy she's pursuing. And

892
00:40:57,680 --> 00:40:59,879
Speaker 1: the last number I'll note here and then Saga gets

893
00:40:59,880 --> 00:41:03,520
Speaker 1: your take, about two thirds of those who want to

894
00:41:03,600 --> 00:41:06,919
Speaker 1: know more said they were eager to learn about her

895
00:41:07,080 --> 00:41:10,880
Speaker 1: policies specifically, which is someone who cares a lot about

896
00:41:10,880 --> 00:41:13,000
Speaker 1: those policies and thinks, by the way that the things

897
00:41:13,000 --> 00:41:16,480
Speaker 1: that she's announced are by and large good and very

898
00:41:16,520 --> 00:41:20,399
Speaker 1: popular policies. You know, to me, it is very validating

899
00:41:20,600 --> 00:41:24,320
Speaker 1: of she should be leaning into these populous economic pieces

900
00:41:24,360 --> 00:41:27,239
Speaker 1: that she you know that Tim Wallas is really fantastic

901
00:41:27,239 --> 00:41:29,319
Speaker 1: about talking about. And then she sort of lashed onto

902
00:41:29,400 --> 00:41:32,640
Speaker 1: here in the early days of this campaign, Well, she.

903
00:41:32,640 --> 00:41:35,239
Speaker 2: Has a big problem of people don't know who she is,

904
00:41:35,320 --> 00:41:37,879
Speaker 2: and people, I mean in a certain sense, like who

905
00:41:37,960 --> 00:41:39,440
Speaker 2: is she to her own self?

906
00:41:39,520 --> 00:41:41,520
Speaker 3: It's just a survivor, it's a politician.

907
00:41:41,840 --> 00:41:43,960
Speaker 2: So when you don't believe a lot of these things,

908
00:41:44,080 --> 00:41:46,360
Speaker 2: or even if you don't believe anything, it's very difficult

909
00:41:46,400 --> 00:41:48,840
Speaker 2: to project that onto people, which is where her past

910
00:41:48,840 --> 00:41:51,640
Speaker 2: flip flops matter a lot. We talked about some of

911
00:41:51,640 --> 00:41:54,759
Speaker 2: the strategy where it looks let's also put B three

912
00:41:54,800 --> 00:41:57,520
Speaker 2: pleas up on the screen because this also, to me,

913
00:41:57,960 --> 00:42:01,040
Speaker 2: really underscores I mean, I've said this, America's an incredibly

914
00:42:01,040 --> 00:42:05,640
Speaker 2: divided place, and we are divided, especially on certain issues.

915
00:42:05,760 --> 00:42:08,440
Speaker 2: If you look at where people fall on those and

916
00:42:08,480 --> 00:42:10,879
Speaker 2: what they're feeling the most important about at the time

917
00:42:10,880 --> 00:42:13,120
Speaker 2: of the ballot, it will likely determine who they vote for.

918
00:42:13,160 --> 00:42:14,879
Speaker 3: I said likely. It doesn't always work them.

919
00:42:15,239 --> 00:42:17,200
Speaker 2: It says, regardless of how you might vote, do you

920
00:42:17,239 --> 00:42:19,520
Speaker 2: trust Kama or Trump to do a better job on

921
00:42:19,560 --> 00:42:22,720
Speaker 2: each of the following issues? Abortion thirty nine percent, Trump

922
00:42:22,880 --> 00:42:26,520
Speaker 2: fifty four percent Kamala, massive spread. Her best possible issue

923
00:42:26,640 --> 00:42:30,520
Speaker 2: two is democracy forty five Trump fifty Kamala.

924
00:42:30,560 --> 00:42:32,600
Speaker 3: That doesn't mean anything, but whatever.

925
00:42:32,600 --> 00:42:36,200
Speaker 2: The economy forty two Harris fifty five Trump, I.

926
00:42:36,200 --> 00:42:38,800
Speaker 3: Mean, look at that. That's a thirteen point spread.

927
00:42:38,920 --> 00:42:41,480
Speaker 2: It's nearly as big as the spread between Trump and

928
00:42:41,600 --> 00:42:44,480
Speaker 2: Kamala on abortion, and it shows the huge strength for

929
00:42:44,560 --> 00:42:46,800
Speaker 2: Donald Trump and one that has historically been a major

930
00:42:46,840 --> 00:42:50,080
Speaker 2: predictor of success. Finally, on immigration, there's a ten point

931
00:42:50,080 --> 00:42:53,800
Speaker 2: spread fifty three percent Trump, forty three percent Kamala Harris.

932
00:42:53,800 --> 00:42:56,200
Speaker 2: So if it is an economy immigration electionist I've said

933
00:42:56,320 --> 00:42:58,800
Speaker 2: Trump is going to win. If it's an abortion democracy election,

934
00:42:59,040 --> 00:43:01,200
Speaker 2: it looks like Kamala is going to win. And on

935
00:43:01,280 --> 00:43:04,320
Speaker 2: those issues specifically, it's not only where they're the most divided.

936
00:43:04,480 --> 00:43:07,680
Speaker 2: I think it's also where there is the most genuine contrast,

937
00:43:07,920 --> 00:43:11,120
Speaker 2: and so leaning into that on the debate stage, I

938
00:43:11,120 --> 00:43:13,319
Speaker 2: think you will see quite a bit also whenever we

939
00:43:13,400 --> 00:43:17,880
Speaker 2: see looking at a lot of democratic messaging. Returning though

940
00:43:18,080 --> 00:43:20,600
Speaker 2: to the beginning of this Trump and Harris neck and

941
00:43:20,680 --> 00:43:23,279
Speaker 2: neck after summer upheaval, there is quite a lot to

942
00:43:23,400 --> 00:43:25,880
Speaker 2: think about it. I mean, first and foremost is forty

943
00:43:25,920 --> 00:43:30,279
Speaker 2: eight percent amongst likely voters versus Akamo's forty seven is

944
00:43:30,440 --> 00:43:34,120
Speaker 2: kind of extraordinary because it shows a Trump narrow lead,

945
00:43:34,400 --> 00:43:36,640
Speaker 2: and if you have a narrow lead in a likely

946
00:43:37,160 --> 00:43:40,040
Speaker 2: voter screen for a national level.

947
00:43:39,920 --> 00:43:40,720
Speaker 3: You're cooked.

948
00:43:40,880 --> 00:43:44,759
Speaker 2: If this is accurate, because Kamala could win up to

949
00:43:44,880 --> 00:43:48,880
Speaker 2: two percent of the popular vote and lose the electoral

950
00:43:48,920 --> 00:43:51,919
Speaker 2: college in a massive landslide. She needs some three point

951
00:43:52,000 --> 00:43:55,279
Speaker 2: five percent advantage in the national popular vote to be

952
00:43:55,480 --> 00:43:58,799
Speaker 2: very very competitive. So if we look at that and

953
00:43:58,920 --> 00:44:02,280
Speaker 2: then we consider how type things are in the swing states,

954
00:44:02,360 --> 00:44:04,799
Speaker 2: I don't think we have had. I mean, we'll talk

955
00:44:04,840 --> 00:44:07,759
Speaker 2: to about this with Harry Enton clip. But this is

956
00:44:07,920 --> 00:44:11,359
Speaker 2: genuinely one of the closest presidential elections of all time,

957
00:44:11,480 --> 00:44:14,600
Speaker 2: and people then need to say that the stakes for

958
00:44:14,800 --> 00:44:17,960
Speaker 2: every individual decision is just titanic.

959
00:44:18,000 --> 00:44:21,880
Speaker 1: That's so true. Yeah, that's so true. Another part of

960
00:44:21,920 --> 00:44:24,160
Speaker 1: this poll that was interesting. And by the way, the

961
00:44:24,320 --> 00:44:28,640
Speaker 1: economy number is some other polls have shown her being

962
00:44:28,800 --> 00:44:31,560
Speaker 1: very close with Trump on the economy.

963
00:44:31,360 --> 00:44:33,920
Speaker 4: So, you know, which is accurate? Has she had.

964
00:44:34,200 --> 00:44:37,360
Speaker 1: Those sentiments shifted away from her as she has failed

965
00:44:37,360 --> 00:44:42,359
Speaker 1: to really, you know, clearly and consistently articulate what her

966
00:44:42,400 --> 00:44:45,160
Speaker 1: economic vision is because again the things like if you

967
00:44:45,200 --> 00:44:47,480
Speaker 1: pull the things she's talking about, the price cap on

968
00:44:47,840 --> 00:44:51,759
Speaker 1: you know, on groceries and the assistance for homeowners, all

969
00:44:51,800 --> 00:44:54,880
Speaker 1: these things that cap you know, reducing prescription drug costs.

970
00:44:55,239 --> 00:44:57,760
Speaker 1: All of these things are very popular, talking like seventy

971
00:44:57,760 --> 00:45:00,960
Speaker 1: five eighty percent popular. But you know, it's not enough

972
00:45:00,960 --> 00:45:03,279
Speaker 1: to do one speech and that's it. You have to

973
00:45:03,320 --> 00:45:05,759
Speaker 1: be leaning into that really persuade people that know, this

974
00:45:05,840 --> 00:45:07,680
Speaker 1: is my agenda, this is what I'm going to fight for.

975
00:45:08,120 --> 00:45:10,840
Speaker 1: To me, we played some of that Dana Bash interviewed previously.

976
00:45:11,040 --> 00:45:13,400
Speaker 1: Her biggest with in that interview, in my opinion, is

977
00:45:13,440 --> 00:45:15,960
Speaker 1: when the very first question is what is your day

978
00:45:15,960 --> 00:45:17,960
Speaker 1: one agenda, and you don't have a.

979
00:45:17,920 --> 00:45:20,200
Speaker 4: List of three things ready to go right there now.

980
00:45:20,200 --> 00:45:22,360
Speaker 1: When Dana asks her again, then she comes up with

981
00:45:22,400 --> 00:45:24,600
Speaker 1: a few child tax cred and a few other things. Okay,

982
00:45:24,600 --> 00:45:28,480
Speaker 1: that's great, but you should know top three. Hammer those

983
00:45:28,520 --> 00:45:31,400
Speaker 1: home every single day so that people feel like, Okay,

984
00:45:31,480 --> 00:45:33,400
Speaker 1: this is your agenda. I know what you stand for,

985
00:45:33,480 --> 00:45:35,040
Speaker 1: I know what you're going to fight for, and I

986
00:45:35,160 --> 00:45:39,120
Speaker 1: can I can plan accordingly or just accordingly, or vote accordingly.

987
00:45:39,920 --> 00:45:42,400
Speaker 1: The other piece that was a big problem for her here,

988
00:45:42,480 --> 00:45:45,200
Speaker 1: which again is a shift from some of the other

989
00:45:45,280 --> 00:45:48,400
Speaker 1: polling that we've seen, is first of all, they asked,

990
00:45:48,520 --> 00:45:50,040
Speaker 1: do you want to see a lot of change, a

991
00:45:50,040 --> 00:45:53,400
Speaker 1: little change, or no real change from the Biden administration,

992
00:45:53,600 --> 00:45:55,120
Speaker 1: And overwhelmingly voters were.

993
00:45:55,000 --> 00:45:56,200
Speaker 4: Like a lot of change.

994
00:45:56,920 --> 00:45:59,920
Speaker 1: Then they asked, do you think that Kamala Harris represents

995
00:46:00,640 --> 00:46:02,719
Speaker 1: a lot of change, a little change, homage change at

996
00:46:02,719 --> 00:46:05,839
Speaker 1: all from the Biden administration? And people are much more

997
00:46:05,920 --> 00:46:10,040
Speaker 1: likely to say that Donald Trump represents a major change

998
00:46:10,239 --> 00:46:13,920
Speaker 1: and so and Kamala Harris does not. So again, now

999
00:46:13,960 --> 00:46:17,400
Speaker 1: that may seem, you know, straightforward, because she's as vice president,

1000
00:46:17,480 --> 00:46:20,160
Speaker 1: but that is not what the polls were reflecting previously.

1001
00:46:20,600 --> 00:46:23,040
Speaker 1: Because she came in and she's this, you know, relatively

1002
00:46:23,080 --> 00:46:26,080
Speaker 1: fresh face and younger and different identity and came in

1003
00:46:26,120 --> 00:46:29,200
Speaker 1: with all this energy, et cetera. They're actually she was

1004
00:46:29,239 --> 00:46:33,160
Speaker 1: winning that this is the change candidate sentiment. And I

1005
00:46:33,200 --> 00:46:36,000
Speaker 1: do think this is a change election. So, you know,

1006
00:46:36,040 --> 00:46:39,160
Speaker 1: that also emphasizes the fact that she needs to find

1007
00:46:39,160 --> 00:46:42,600
Speaker 1: some ways to really more clearly distance herself from Joe Biden.

1008
00:46:42,640 --> 00:46:45,320
Speaker 1: I might suggest her approach approach to the genocide in

1009
00:46:45,360 --> 00:46:48,040
Speaker 1: Gaza personally would be a great place to create some

1010
00:46:48,160 --> 00:46:51,360
Speaker 1: arms length distance between yourself and the incredibly unpopular and

1011
00:46:51,360 --> 00:46:52,960
Speaker 1: disastrous policy of.

1012
00:46:52,920 --> 00:46:53,960
Speaker 4: The current administration.

1013
00:46:54,440 --> 00:46:58,200
Speaker 1: But if she wants and she needs to reclaim that

1014
00:46:58,280 --> 00:47:01,759
Speaker 1: mantle as the change candidate, she's got to do some

1015
00:47:01,920 --> 00:47:05,320
Speaker 1: work to convince voters that she is going to deliver

1016
00:47:05,400 --> 00:47:07,000
Speaker 1: for them in a way that they do not feel

1017
00:47:07,040 --> 00:47:07,399
Speaker 1: to Joe.

1018
00:47:07,320 --> 00:47:09,640
Speaker 2: Biden, there's a lot of noisiness. So previously she'd looked

1019
00:47:09,640 --> 00:47:11,520
Speaker 2: at his change. But it's also possible that that may

1020
00:47:11,560 --> 00:47:13,680
Speaker 2: never have actually, that may have been incorrect, And then

1021
00:47:13,840 --> 00:47:16,040
Speaker 2: if you look at a high quality poll afterwards, people

1022
00:47:16,040 --> 00:47:17,799
Speaker 2: are like, no, I never felt that way.

1023
00:47:17,880 --> 00:47:18,080
Speaker 4: I mean.

1024
00:47:18,120 --> 00:47:20,759
Speaker 2: The other problem is, and I agree completely about distancing

1025
00:47:21,000 --> 00:47:23,239
Speaker 2: from Biden. I mean, I'm seeing here, you know, lead

1026
00:47:23,360 --> 00:47:25,520
Speaker 2: story in the New York Times this morning they say

1027
00:47:25,520 --> 00:47:28,840
Speaker 2: Harris's debate challenge pushing ahead without leaving Biden behind.

1028
00:47:29,120 --> 00:47:31,840
Speaker 3: The problem is that not leave him behind exactly, And

1029
00:47:31,920 --> 00:47:33,760
Speaker 3: I'm like, no, you should leave him behind.

1030
00:47:34,400 --> 00:47:37,080
Speaker 2: And in fact, know, if we look at previous vice

1031
00:47:37,120 --> 00:47:41,239
Speaker 2: presidents who have run while the current person isn't while

1032
00:47:41,239 --> 00:47:44,080
Speaker 2: their current president is in office, all of them confront

1033
00:47:44,200 --> 00:47:47,680
Speaker 2: this challenge. Al Gore had a massive problem with am

1034
00:47:47,719 --> 00:47:50,439
Speaker 2: I Bill Clinton's successor or not? He ended up leaving

1035
00:47:50,440 --> 00:47:53,400
Speaker 2: Clinton behind, which was a mistake if you look in retrospect, Yes,

1036
00:47:53,480 --> 00:47:56,200
Speaker 2: Clinton had some sixty five percent approval rating. Clinton took

1037
00:47:56,239 --> 00:47:58,359
Speaker 2: it very personally, but al Gore was like, no, I've

1038
00:47:58,360 --> 00:47:59,600
Speaker 2: been your number two for eight years.

1039
00:47:59,600 --> 00:48:00,520
Speaker 3: It's about me now.

1040
00:48:00,640 --> 00:48:04,120
Speaker 2: Didn't end up working out, obviously, Then let's think about

1041
00:48:04,360 --> 00:48:07,040
Speaker 2: if we look at previous ones. Obviously LBJ was a

1042
00:48:07,040 --> 00:48:09,960
Speaker 2: little bit different because JFK was assassinated while he was

1043
00:48:10,000 --> 00:48:12,520
Speaker 2: in office, but a big part of that was I'm

1044
00:48:12,680 --> 00:48:16,080
Speaker 2: continuing the candidate legacy. The lesson, though, is that in

1045
00:48:16,120 --> 00:48:19,480
Speaker 2: those instances where a vice president is running like George H. W.

1046
00:48:19,640 --> 00:48:22,160
Speaker 2: Bush as well, where Reagan was relatively popular as he

1047
00:48:22,280 --> 00:48:25,120
Speaker 2: was coming out, it's about continuing their legacy. This is

1048
00:48:25,160 --> 00:48:28,239
Speaker 2: a very very different election where the current president is

1049
00:48:28,440 --> 00:48:31,960
Speaker 2: massively unpopular, and in fact, the best possible thing she

1050
00:48:32,000 --> 00:48:35,040
Speaker 2: could do for herself electorally is to say we are

1051
00:48:35,200 --> 00:48:38,520
Speaker 2: moving on. I respect Joe Biden, but I am my

1052
00:48:38,600 --> 00:48:41,120
Speaker 2: own person and there are many different things that I

1053
00:48:41,120 --> 00:48:42,960
Speaker 2: would have done differently in office, and I would have

1054
00:48:43,000 --> 00:48:45,640
Speaker 2: no problem saying this to his face. Well that's sure

1055
00:48:45,680 --> 00:48:48,160
Speaker 2: or not, you know whatever. But the point is that

1056
00:48:48,200 --> 00:48:51,080
Speaker 2: it's very clear if only twenty what was it twenty

1057
00:48:51,080 --> 00:48:53,320
Speaker 2: five percent, we're saying that they saw her as a

1058
00:48:53,400 --> 00:48:56,600
Speaker 2: change candidate, whereas they said some fifty three percent said

1059
00:48:56,600 --> 00:49:00,000
Speaker 2: Trump is a change candidate. Then when Americans want change,

1060
00:49:00,040 --> 00:49:02,240
Speaker 2: as they very often do, as they did with Biden

1061
00:49:02,239 --> 00:49:04,640
Speaker 2: from Trump, as they did from Trump to Obama, as

1062
00:49:04,640 --> 00:49:06,759
Speaker 2: they did from Obama to Bush, as they did with

1063
00:49:06,880 --> 00:49:10,240
Speaker 2: Bush to Clinton, and then previously from Clinton to Bush,

1064
00:49:10,320 --> 00:49:13,160
Speaker 2: there's clearly a lesson about what that looks like. So

1065
00:49:13,239 --> 00:49:16,680
Speaker 2: she needs to run as far away from him as possible.

1066
00:49:16,719 --> 00:49:19,359
Speaker 2: But that's very difficult when the Biden staff is running

1067
00:49:19,400 --> 00:49:21,759
Speaker 2: your campaign, right when the Biden staff, when you have

1068
00:49:21,800 --> 00:49:24,640
Speaker 2: to live here in Washington next to Joe Biden, when

1069
00:49:24,840 --> 00:49:27,759
Speaker 2: you know, the Biden people are so angry that they

1070
00:49:27,840 --> 00:49:30,279
Speaker 2: were pushed out, as we saw with Anita Dunn, you know,

1071
00:49:31,040 --> 00:49:34,560
Speaker 2: the advisor. And so this is very very difficult position

1072
00:49:34,600 --> 00:49:36,160
Speaker 2: for her to be in, and in fact, it may

1073
00:49:36,280 --> 00:49:37,279
Speaker 2: end up costing her the election.

1074
00:49:38,120 --> 00:49:41,760
Speaker 1: The Biden team part, I think is really critical because

1075
00:49:42,120 --> 00:49:45,880
Speaker 1: I mean they were running a disastrous, delusional campaign with

1076
00:49:46,000 --> 00:49:48,920
Speaker 1: Joe Biden at the helm and it was kind of

1077
00:49:48,920 --> 00:49:53,040
Speaker 1: incredible to watch when Kamala comes in and is, you know,

1078
00:49:53,080 --> 00:49:57,000
Speaker 1: the new nominee. Their initial rollout I think anyone have

1079
00:49:57,080 --> 00:50:01,399
Speaker 1: to say was fantastic. The level of excitement, enthusiasm, which

1080
00:50:01,400 --> 00:50:04,000
Speaker 1: she still benefits fromwing, the number of new donors and

1081
00:50:04,280 --> 00:50:07,799
Speaker 1: volunteers and all that stuff was through the roof. And

1082
00:50:07,840 --> 00:50:13,239
Speaker 1: now they're falling back into this very very cautious, you know,

1083
00:50:13,400 --> 00:50:20,080
Speaker 1: head in the sand, you know, like complacent Biden esque strategy.

1084
00:50:20,680 --> 00:50:24,239
Speaker 1: And she can't afford that. You know, this isn't you

1085
00:50:24,320 --> 00:50:26,839
Speaker 1: aren't in a position where you can just or sort

1086
00:50:26,840 --> 00:50:29,960
Speaker 1: of play prevent defense and hope for the best. So

1087
00:50:30,760 --> 00:50:33,960
Speaker 1: you know, when you see some head scratching decision making

1088
00:50:34,000 --> 00:50:36,560
Speaker 1: out of them, it is worth remembering that these are

1089
00:50:36,600 --> 00:50:39,879
Speaker 1: the same people who were up until the bitter end,

1090
00:50:41,080 --> 00:50:43,840
Speaker 1: claiming that Biden was on track to win and delusional

1091
00:50:43,880 --> 00:50:46,879
Speaker 1: about the polling and making poor decisions there as well.

1092
00:50:46,960 --> 00:50:49,680
Speaker 1: So I think that's a very important point. Let's go

1093
00:50:49,719 --> 00:50:53,120
Speaker 1: and put the next polls up on the screen that

1094
00:50:53,160 --> 00:50:58,440
Speaker 1: we have some battleground pulling from CBS News and you Gov.

1095
00:50:58,520 --> 00:51:00,960
Speaker 4: I think this is also you know, highly rated Polster.

1096
00:51:01,560 --> 00:51:04,360
Speaker 1: It's tied basically, I mean in Michigan, she has a

1097
00:51:04,400 --> 00:51:07,400
Speaker 1: one point lead. In Pennsylvania, they're literally tied. In Wisconsin,

1098
00:51:07,440 --> 00:51:10,200
Speaker 1: she's got a two point lead, but all within the

1099
00:51:10,200 --> 00:51:13,600
Speaker 1: margin of error. So you can look at the industrial

1100
00:51:13,760 --> 00:51:17,200
Speaker 1: Midwestern these three states, and according to this poll.

1101
00:51:17,480 --> 00:51:20,359
Speaker 4: It's tied. You know, it really is.

1102
00:51:21,040 --> 00:51:24,120
Speaker 1: If these poles are accurate, it is as close a

1103
00:51:24,239 --> 00:51:28,400
Speaker 1: race as it literally possibly could be. And Harry anton

1104
00:51:28,440 --> 00:51:33,120
Speaker 1: Over at CNN made this point in a pretty pretty

1105
00:51:33,400 --> 00:51:35,200
Speaker 1: like it landed the way.

1106
00:51:35,000 --> 00:51:35,800
Speaker 3: He made this voint.

1107
00:51:36,239 --> 00:51:38,400
Speaker 1: Yes, a historic way. It really landed the way he

1108
00:51:38,440 --> 00:51:40,200
Speaker 1: made this point. Let's ahead and take a listen to

1109
00:51:40,320 --> 00:51:41,600
Speaker 1: what Harry anton had to say.

1110
00:51:41,960 --> 00:51:43,759
Speaker 12: Most of the time, there's at least some stretch where

1111
00:51:43,800 --> 00:51:45,880
Speaker 12: one of the candidates is had by at least five points,

1112
00:51:46,000 --> 00:51:48,520
Speaker 12: at least three weeks in which one candidate led by

1113
00:51:48,560 --> 00:51:52,080
Speaker 12: at least five points. That happened in every single campaign

1114
00:51:52,280 --> 00:51:55,880
Speaker 12: from nineteen sixty four to twenty twenty. How many days

1115
00:51:56,120 --> 00:51:58,239
Speaker 12: have we had this campaign where one candidate was ahead

1116
00:51:58,239 --> 00:52:01,200
Speaker 12: by at least five points nationally? Look at this zero

1117
00:52:01,880 --> 00:52:03,000
Speaker 12: zero days.

1118
00:52:03,080 --> 00:52:03,800
Speaker 3: Zero days.

1119
00:52:03,840 --> 00:52:06,640
Speaker 12: The fact that this race has been consistently tight in

1120
00:52:06,640 --> 00:52:09,360
Speaker 12: a way that we have never seen before. Mister Burma,

1121
00:52:09,440 --> 00:52:11,680
Speaker 12: look at the twenty twenty final margin an average across

1122
00:52:11,719 --> 00:52:14,759
Speaker 12: these seven states. It was Biden plus nine zero point

1123
00:52:14,880 --> 00:52:16,880
Speaker 12: nine points. You don't think that could get any closer.

1124
00:52:16,960 --> 00:52:20,120
Speaker 12: We can, in fact get closer. Look right now, Kamala

1125
00:52:20,120 --> 00:52:24,160
Speaker 12: Harris up. But get this by just zero point six

1126
00:52:24,560 --> 00:52:28,200
Speaker 12: points on average, only about half a point six tenths

1127
00:52:28,200 --> 00:52:31,520
Speaker 12: of a point. My goodness, gracious, Let's just say we

1128
00:52:31,719 --> 00:52:34,680
Speaker 12: move the current polls and let's say the result difference

1129
00:52:34,840 --> 00:52:37,760
Speaker 12: by them by a single percentage point, and Donald Trump

1130
00:52:37,800 --> 00:52:38,920
Speaker 12: is the beneficiary of it.

1131
00:52:39,120 --> 00:52:39,560
Speaker 3: Look at this.

1132
00:52:39,880 --> 00:52:43,040
Speaker 12: If Trump outperforms his current polls by just a single point,

1133
00:52:43,080 --> 00:52:45,239
Speaker 12: you take that Kamala Harris win, and look at this,

1134
00:52:45,520 --> 00:52:48,760
Speaker 12: Donald Trump gets two hundred and eighty seven electoral votes.

1135
00:52:48,800 --> 00:52:52,080
Speaker 12: Because the bottom line is Pennsylvania would flip up pier

1136
00:52:52,360 --> 00:52:55,120
Speaker 12: and you would also get this flip out in Nevada

1137
00:52:55,160 --> 00:52:58,000
Speaker 12: over here. And that, my friends, is what we're talking about.

1138
00:52:58,160 --> 00:53:00,000
Speaker 3: Yeah. Oh, and that's like a red wave scenario.

1139
00:53:00,120 --> 00:53:04,160
Speaker 1: A single point you shift the polls a single point,

1140
00:53:04,200 --> 00:53:07,279
Speaker 1: and you were looking at a totally different map. Because yeah,

1141
00:53:07,320 --> 00:53:11,680
Speaker 1: if you look at Michigan, Wisconsin, Pennsylvania, Georgia, Arizona, effectively

1142
00:53:11,760 --> 00:53:15,359
Speaker 1: a Nevada, every single one of them is right there

1143
00:53:15,360 --> 00:53:18,080
Speaker 1: in the margin of error. So one point neither direction,

1144
00:53:18,480 --> 00:53:19,439
Speaker 1: totally different amount.

1145
00:53:19,560 --> 00:53:21,920
Speaker 2: And I mean look to consider Nate Silver right now

1146
00:53:22,000 --> 00:53:24,440
Speaker 2: with a big picture. This was his last forecast that

1147
00:53:24,520 --> 00:53:26,480
Speaker 2: just came out I think two days ago. He has

1148
00:53:26,520 --> 00:53:29,400
Speaker 2: trumpet a sixty three percent chance of winning the electoral College,

1149
00:53:29,400 --> 00:53:31,080
Speaker 2: which is extraordinary.

1150
00:53:30,600 --> 00:53:33,240
Speaker 3: And a lot of that is because of polling.

1151
00:53:33,280 --> 00:53:34,719
Speaker 2: This was prior to the New York Times poll, by

1152
00:53:34,719 --> 00:53:37,319
Speaker 2: the way, but already, as he said after it came out,

1153
00:53:37,400 --> 00:53:39,200
Speaker 2: he goes, I actually factored a lot of this in

1154
00:53:39,320 --> 00:53:43,200
Speaker 2: because post convention, the tie scenario and increasingly the point

1155
00:53:43,320 --> 00:53:45,920
Speaker 2: six margin, that is not going to be enough. But

1156
00:53:46,600 --> 00:53:49,200
Speaker 2: as you just said, if it's off by just one,

1157
00:53:49,600 --> 00:53:52,960
Speaker 2: that means that Harris currently with a thirty six percent

1158
00:53:53,560 --> 00:53:56,000
Speaker 2: roughly in the same scenario that Trump was going into

1159
00:53:56,000 --> 00:53:56,720
Speaker 2: twenty sixteen.

1160
00:53:56,880 --> 00:53:58,160
Speaker 3: So you need to think about that as well.

1161
00:53:58,200 --> 00:54:01,560
Speaker 2: Where a polling miss can deliver you the presidency. I'm

1162
00:54:01,560 --> 00:54:03,400
Speaker 2: just in my head, I'm just purely a fifty to fifty,

1163
00:54:03,440 --> 00:54:06,400
Speaker 2: pure pure coin toss. Yeah, I think that the major

1164
00:54:06,600 --> 00:54:09,880
Speaker 2: flagship stuff is going to matter so much the debates.

1165
00:54:10,280 --> 00:54:12,600
Speaker 2: We are only going to have to the short, short

1166
00:54:12,640 --> 00:54:16,080
Speaker 2: presidential run. Whether Kama continues to do interviews and then

1167
00:54:16,320 --> 00:54:19,640
Speaker 2: unforced errors has always happened on top of major news events,

1168
00:54:19,640 --> 00:54:22,200
Speaker 2: and actually things are so close that a major news

1169
00:54:22,239 --> 00:54:25,360
Speaker 2: event could swing the entire election quite literally, a war.

1170
00:54:25,520 --> 00:54:27,960
Speaker 4: Or classic October supportsic octo seration.

1171
00:54:28,280 --> 00:54:32,680
Speaker 1: Right, Yeah, no, I think that's where especially because we

1172
00:54:32,840 --> 00:54:35,760
Speaker 1: really there's not much we could say about the polls

1173
00:54:35,760 --> 00:54:39,359
Speaker 1: and whether they're right, wrong, which direction, whatever it really is.

1174
00:54:39,400 --> 00:54:42,800
Speaker 1: That's also a coin flip, whether you know the Okay,

1175
00:54:42,840 --> 00:54:45,719
Speaker 1: in twenty twenty they understated Trump support, in twenty twenty two,

1176
00:54:45,760 --> 00:54:48,839
Speaker 1: they overstated Republican support. Did they fix the problems from

1177
00:54:48,840 --> 00:54:51,400
Speaker 1: those years? Did they need to fix the point response biased?

1178
00:54:51,400 --> 00:54:51,440
Speaker 3: You?

1179
00:54:52,600 --> 00:54:56,319
Speaker 1: Literally no one knows. It's a total guessing game. So

1180
00:54:56,480 --> 00:54:59,760
Speaker 1: what we can say is, if the polls are truly accurate,

1181
00:55:00,000 --> 00:55:02,719
Speaker 1: it is as close as it could possibly be. And

1182
00:55:02,760 --> 00:55:05,680
Speaker 1: that's where we are headed into what is you know,

1183
00:55:05,760 --> 00:55:09,680
Speaker 1: I think by any definition historically consequential debate. Could it

1184
00:55:09,719 --> 00:55:12,040
Speaker 1: be as consequential as actually pushing the Cannon out of

1185
00:55:12,040 --> 00:55:14,919
Speaker 1: the race. I don't know about that, but it could

1186
00:55:15,000 --> 00:55:17,520
Speaker 1: end up being quite determinative, even if the shift is

1187
00:55:17,560 --> 00:55:20,359
Speaker 1: only by a tiny margin, because those the margins we're

1188
00:55:20,360 --> 00:55:21,120
Speaker 1: talking about.

1189
00:55:23,360 --> 00:55:25,920
Speaker 2: At the same time, there's been a major endorsement in

1190
00:55:26,040 --> 00:55:29,640
Speaker 2: American politics. The Cheney family is decided to come out

1191
00:55:29,680 --> 00:55:33,120
Speaker 2: and to support Kamala Harris. Here's Liz Cheney, the scion

1192
00:55:34,040 --> 00:55:37,680
Speaker 2: on which one was this ABC's This Week, talking about

1193
00:55:37,719 --> 00:55:39,919
Speaker 2: why she's decided to endorse Kamala Harris.

1194
00:55:40,040 --> 00:55:40,560
Speaker 3: Let's take a.

1195
00:55:40,480 --> 00:55:43,680
Speaker 13: Listen, bottom one, Why did you make this decision to

1196
00:55:43,719 --> 00:55:44,600
Speaker 13: support Harris?

1197
00:55:44,640 --> 00:55:45,560
Speaker 8: And why did you do it now?

1198
00:55:46,000 --> 00:55:51,000
Speaker 14: Yeah, you know, I've been voting for forty years. My

1199
00:55:51,120 --> 00:55:53,640
Speaker 14: first vote I ever cast was for Ronald Reagan in

1200
00:55:53,800 --> 00:55:58,160
Speaker 14: nineteen eighty four. I've never voted for a Democrat. Wow,

1201
00:55:59,080 --> 00:56:03,280
Speaker 14: And it tells you I think the stakes in this election.

1202
00:56:04,360 --> 00:56:07,880
Speaker 14: You know, Donald Trump presents a challenge and a threat

1203
00:56:08,680 --> 00:56:13,520
Speaker 14: fundamentally to the Republic. We see it on a daily basis,

1204
00:56:13,560 --> 00:56:17,719
Speaker 14: somebody who was willing to use violence in order to

1205
00:56:17,719 --> 00:56:20,239
Speaker 14: attempt to seize power, to stay in power. If you

1206
00:56:20,239 --> 00:56:23,560
Speaker 14: have many Republicans out there who are saying, well, you know,

1207
00:56:23,800 --> 00:56:25,520
Speaker 14: we're not going to vote for him, but we will

1208
00:56:25,640 --> 00:56:28,680
Speaker 14: we will write someone else in. And I think that

1209
00:56:28,960 --> 00:56:32,600
Speaker 14: this time around that's not enough, that it's important to

1210
00:56:32,640 --> 00:56:35,640
Speaker 14: actually cast a vote for Vice President Harris.

1211
00:56:35,880 --> 00:56:37,799
Speaker 2: That's right, It is not enough, and in fact, that

1212
00:56:37,880 --> 00:56:40,120
Speaker 2: was followed up by her father a statement from him.

1213
00:56:40,160 --> 00:56:42,359
Speaker 2: Let's put this up there on the screen. Former Vice

1214
00:56:42,400 --> 00:56:45,680
Speaker 2: President Cheney issued the following statement. In our nation's two

1215
00:56:45,800 --> 00:56:48,560
Speaker 2: hundred and forty eight year history, there has never been

1216
00:56:48,560 --> 00:56:51,480
Speaker 2: an individual who is a greater threat to our republic

1217
00:56:51,520 --> 00:56:54,040
Speaker 2: than Donald Trump. He tried to steal the last election

1218
00:56:54,200 --> 00:56:56,560
Speaker 2: using lies and violence to keep himself in power after

1219
00:56:56,640 --> 00:56:59,239
Speaker 2: the voter's rejected him. He can never be trusted with

1220
00:56:59,280 --> 00:57:01,560
Speaker 2: power again. Citizens, we have a duty to put our

1221
00:57:01,600 --> 00:57:04,799
Speaker 2: country above partisanship to defend our constitution. That is why

1222
00:57:04,800 --> 00:57:07,960
Speaker 2: I'll be casting my vote for Vice President Kamala Harris. So,

1223
00:57:08,000 --> 00:57:11,080
Speaker 2: the Cheney family is in Crystal and has been met

1224
00:57:11,360 --> 00:57:13,680
Speaker 2: overwhelmingly positively by many people.

1225
00:57:13,880 --> 00:57:15,080
Speaker 3: We will preview one of those.

1226
00:57:15,680 --> 00:57:18,600
Speaker 2: But yeah, what's your reaction here to to the Cheney family,

1227
00:57:18,800 --> 00:57:22,360
Speaker 2: As you said, war criminals discuss. Yeah, there are white

1228
00:57:22,440 --> 00:57:24,360
Speaker 2: dudes for Harris, there were black women for Harris, and

1229
00:57:24,400 --> 00:57:25,280
Speaker 2: now there are works.

1230
00:57:25,120 --> 00:57:26,240
Speaker 4: Were criminals for Harris.

1231
00:57:27,200 --> 00:57:30,000
Speaker 1: I guess the problem that Dick Cheney had with Trump's

1232
00:57:30,000 --> 00:57:33,640
Speaker 1: attempted coup is that, unlike Cheney's own efforts to steal

1233
00:57:33,640 --> 00:57:36,920
Speaker 1: the election, which were successful, in two thousand, Trump was

1234
00:57:37,000 --> 00:57:39,120
Speaker 1: unable to get the job done, So you know, he's

1235
00:57:39,120 --> 00:57:41,600
Speaker 1: a loser in their regard. He can't even successfully steal

1236
00:57:41,640 --> 00:57:42,680
Speaker 1: an election as they did.

1237
00:57:42,840 --> 00:57:45,520
Speaker 3: It's so cartoon the most cynical, disgusting people.

1238
00:57:45,560 --> 00:57:50,440
Speaker 1: Well, I do think that there's something to like to

1239
00:57:50,480 --> 00:57:53,320
Speaker 1: what I just said, which is Dick Cheney has no

1240
00:57:53,360 --> 00:57:56,720
Speaker 1: problem with stealing an election, but they need it done

1241
00:57:56,720 --> 00:58:00,200
Speaker 1: in like the more decorous way, the.

1242
00:58:00,240 --> 00:58:02,800
Speaker 2: Service of what they believe in, you know, in service

1243
00:58:02,800 --> 00:58:03,840
Speaker 2: stuff like Trump VI is it.

1244
00:58:03,960 --> 00:58:05,880
Speaker 1: Trump believes a lot of the same things they believe,

1245
00:58:05,880 --> 00:58:08,840
Speaker 1: if we're being honest about it. But you know, it

1246
00:58:08,880 --> 00:58:12,760
Speaker 1: has a lot to do also with some of the

1247
00:58:12,920 --> 00:58:16,520
Speaker 1: operators in the Republican Party, Like it's not the Cheney

1248
00:58:16,600 --> 00:58:20,120
Speaker 1: Bush Republican Party anymore, even though again the ideology is

1249
00:58:20,120 --> 00:58:23,360
Speaker 1: not that different. Like Trump's biggest accomplishment was this big

1250
00:58:23,400 --> 00:58:25,680
Speaker 1: tax cupt for the rich. Guess what, that's what you know?

1251
00:58:25,840 --> 00:58:29,360
Speaker 1: That was one of Bush's hallmarks as well. But the

1252
00:58:29,880 --> 00:58:34,520
Speaker 1: personnel have changed and so he no longer has that like,

1253
00:58:34,680 --> 00:58:37,520
Speaker 1: you know, power within the party that he once did.

1254
00:58:38,280 --> 00:58:42,280
Speaker 1: I think it's grotesque that Democrats accept this that they

1255
00:58:42,600 --> 00:58:44,800
Speaker 1: I think it's foolish that they think it's a benefit

1256
00:58:44,840 --> 00:58:49,040
Speaker 1: to them like this. Even now, even after George W.

1257
00:58:49,160 --> 00:58:55,400
Speaker 1: Bush's reputation has wrongly been significantly rehabbed, Dick Cheney's really

1258
00:58:55,480 --> 00:58:59,040
Speaker 1: hasn't been. Like people don't like this guy. I don't

1259
00:58:59,040 --> 00:59:01,560
Speaker 1: know why you think that this is a benefit. I

1260
00:59:01,600 --> 00:59:04,200
Speaker 1: think Liz Chenie's like a little bit different because she's

1261
00:59:04,200 --> 00:59:06,720
Speaker 1: not her father, and you know, so you can't hang

1262
00:59:06,760 --> 00:59:08,760
Speaker 1: all the crimes of him on her, even though I

1263
00:59:08,800 --> 00:59:13,000
Speaker 1: find her foreign policy and worldview to be also extremely odious.

1264
00:59:13,440 --> 00:59:14,280
Speaker 4: But I can.

1265
00:59:14,240 --> 00:59:19,960
Speaker 1: Imagine some people who are college educated former Republicans who

1266
00:59:20,040 --> 00:59:22,520
Speaker 1: might look at that as kind of an indicator, like, okay,

1267
00:59:22,600 --> 00:59:25,439
Speaker 1: you know, even list Cheney is saying, I listen, guys,

1268
00:59:25,480 --> 00:59:27,880
Speaker 1: we got to vote for Kamala Harris. But even that,

1269
00:59:28,120 --> 00:59:31,560
Speaker 1: it's not like she's that powerful of a national figure.

1270
00:59:31,760 --> 00:59:34,480
Speaker 1: It's not like there's a big Liz Cheney constituency out there.

1271
00:59:34,560 --> 00:59:35,520
Speaker 4: So I don't know.

1272
00:59:35,680 --> 00:59:37,520
Speaker 1: In the same way, it was perplexing to me that

1273
00:59:37,600 --> 00:59:39,720
Speaker 1: the Trump campaign thought it was like some and I'm

1274
00:59:39,760 --> 00:59:41,280
Speaker 1: not putting them on the same level, but that it

1275
00:59:41,320 --> 00:59:43,280
Speaker 1: was some great cup to get RFK Junior. When I'm

1276
00:59:43,280 --> 00:59:45,360
Speaker 1: looking going this is not a popular person. I feel

1277
00:59:45,400 --> 00:59:47,680
Speaker 1: the same thing about Dick Cheney, just on a political level.

1278
00:59:47,880 --> 00:59:50,800
Speaker 1: Not only is it morally grotesque that you would want

1279
00:59:50,840 --> 00:59:53,080
Speaker 1: the support of this man, but I don't know what

1280
00:59:53,160 --> 00:59:56,960
Speaker 1: he brings to the table other than, you know, an

1281
00:59:57,040 --> 01:00:01,400
Speaker 1: unwanted news cycle about how horrific he was. Your association

1282
01:00:01,480 --> 01:00:02,600
Speaker 1: with him is not negative?

1283
01:00:02,600 --> 01:00:04,840
Speaker 3: Face people forgotten? I mean, I don't know. I mean

1284
01:00:05,000 --> 01:00:06,600
Speaker 3: that's another problem too for me.

1285
01:00:06,680 --> 01:00:10,000
Speaker 2: It's like I could recite the crimes of Cheney and Bush,

1286
01:00:10,200 --> 01:00:11,920
Speaker 2: you know, off the top of my head easily. You

1287
01:00:11,960 --> 01:00:13,840
Speaker 2: could wake me up at two am in the morning

1288
01:00:13,920 --> 01:00:16,000
Speaker 2: and I could do that. But maybe people have moved on.

1289
01:00:16,120 --> 01:00:18,480
Speaker 2: It's been quite a long time. But if I think

1290
01:00:18,520 --> 01:00:21,680
Speaker 2: about what it philosophically all and this is another important point.

1291
01:00:21,840 --> 01:00:24,320
Speaker 2: In that same interview, John Carl was like, have you

1292
01:00:24,440 --> 01:00:26,520
Speaker 2: changed any of the things that you believe? And she

1293
01:00:26,600 --> 01:00:30,200
Speaker 2: was like no, So like, her positions have not changed,

1294
01:00:30,480 --> 01:00:34,320
Speaker 2: her ideology has not changed. I'm absolutely willing about that

1295
01:00:34,360 --> 01:00:37,920
Speaker 2: about Dick Cheney as well. They support Kamala Heart is

1296
01:00:37,960 --> 01:00:40,880
Speaker 2: that you know something that you can distinguish not really

1297
01:00:40,880 --> 01:00:43,520
Speaker 2: Now does Trump support some of the same things, yes,

1298
01:00:43,800 --> 01:00:47,560
Speaker 2: but on foreign policy, especially previously on the Iraq war,

1299
01:00:47,640 --> 01:00:50,720
Speaker 2: which both of them still support. Let's be very clear

1300
01:00:50,760 --> 01:00:53,400
Speaker 2: about that. There was a major break and it was

1301
01:00:53,440 --> 01:00:56,160
Speaker 2: actually funny because I think what it all comes back

1302
01:00:56,200 --> 01:00:59,480
Speaker 2: to is Trump's destruction of the Jeb Bush campaign and

1303
01:00:59,560 --> 01:01:03,000
Speaker 2: ultimately destruction of the Bush political dynasty, which what you

1304
01:01:03,040 --> 01:01:06,400
Speaker 2: were just saying was there was a machinery involved where

1305
01:01:06,400 --> 01:01:10,200
Speaker 2: the Bush mafia in Texas was still incredibly powerful up

1306
01:01:10,320 --> 01:01:11,560
Speaker 2: until twenty sixteen.

1307
01:01:11,760 --> 01:01:12,840
Speaker 3: But with both George P.

1308
01:01:12,960 --> 01:01:16,120
Speaker 2: Bush, Jeb Bush's son, losing in Texas, as well as

1309
01:01:16,200 --> 01:01:19,960
Speaker 2: Jeb Bush and eventually his entire political ouster, all of

1310
01:01:20,000 --> 01:01:22,840
Speaker 2: the people who backed him, none of them eventually succeeded

1311
01:01:22,880 --> 01:01:27,080
Speaker 2: in a dysantis administration that is fundamentally maybe one of

1312
01:01:27,120 --> 01:01:27,640
Speaker 2: the best.

1313
01:01:27,480 --> 01:01:29,280
Speaker 3: Things Trump ever did for this country.

1314
01:01:29,320 --> 01:01:33,560
Speaker 2: So for Cheney, you know, for them, that was something

1315
01:01:33,600 --> 01:01:37,040
Speaker 2: that they are deeply attached to on an ideological level.

1316
01:01:37,080 --> 01:01:39,560
Speaker 2: But also if you look at what these people worship

1317
01:01:39,640 --> 01:01:43,360
Speaker 2: more than anything, neo conservatism and the quote unquote rules

1318
01:01:43,400 --> 01:01:47,320
Speaker 2: based international order, I mean, Kamala is not far away

1319
01:01:47,320 --> 01:01:49,280
Speaker 2: from them on the issue that they probably care the

1320
01:01:49,400 --> 01:01:52,440
Speaker 2: absolute most about, which is Ukraine. So there is a

1321
01:01:52,480 --> 01:01:57,800
Speaker 2: lot of ideological consistency on their core objective, on their worldview,

1322
01:01:58,080 --> 01:02:01,000
Speaker 2: and then on Israel too. If we think about it,

1323
01:02:01,120 --> 01:02:03,080
Speaker 2: and if we put those together on top of this

1324
01:02:03,200 --> 01:02:06,240
Speaker 2: like quote unquote democracy worship, and it's not a lot

1325
01:02:06,280 --> 01:02:06,720
Speaker 2: of difference.

1326
01:02:07,000 --> 01:02:10,120
Speaker 1: I think it's much more personal than ideologically. Michael Tracy

1327
01:02:10,200 --> 01:02:11,800
Speaker 1: I think made the case really well. I'll just read

1328
01:02:11,840 --> 01:02:13,680
Speaker 1: from some of what he said. He is like neocons

1329
01:02:13,680 --> 01:02:15,920
Speaker 1: have in no way been purged from the Trump rap.

1330
01:02:16,120 --> 01:02:19,000
Speaker 1: The term neocon is not even coherent descriptor of anything anymore.

1331
01:02:19,000 --> 01:02:21,160
Speaker 1: It's only ever used as a term of derision that

1332
01:02:21,320 --> 01:02:23,960
Speaker 1: means anyone with interventionist views I happened to dislike. And

1333
01:02:24,000 --> 01:02:25,560
Speaker 1: he says half the people who would have been called

1334
01:02:25,560 --> 01:02:29,120
Speaker 1: neocons a decade ago, they've just rebranded as maggot. Gives

1335
01:02:29,120 --> 01:02:32,640
Speaker 1: Marco Rubio as an example. Tom Cotton is an absolute,

1336
01:02:33,400 --> 01:02:35,600
Speaker 1: you know, dying in the wold neocon, probably the most

1337
01:02:35,600 --> 01:02:38,800
Speaker 1: aggressive Hawkish person. He was considered as Trump's vice president.

1338
01:02:38,840 --> 01:02:42,240
Speaker 1: Trump had John Bolton in his administration. Tracy goes on

1339
01:02:42,280 --> 01:02:45,560
Speaker 1: and says Trump's extreme pro Israel positions and extreme belicosity

1340
01:02:45,600 --> 01:02:49,280
Speaker 1: toward Iran exceeds what even most of the actual neocons

1341
01:02:49,520 --> 01:02:52,960
Speaker 1: traditionally advocated during the Bush years. Go ask Miriam Adilson

1342
01:02:52,960 --> 01:02:55,240
Speaker 1: whether she prefers the Trump ara goop or the Bush

1343
01:02:55,240 --> 01:02:58,400
Speaker 1: era gop. Maybe her spending habits will answer the question.

1344
01:02:58,600 --> 01:03:02,440
Speaker 1: So I don't see an ideological break. You know, it

1345
01:03:02,560 --> 01:03:04,960
Speaker 1: was easy to oppose the Iraq War after it was

1346
01:03:05,000 --> 01:03:05,920
Speaker 1: all done and dusted.

1347
01:03:06,120 --> 01:03:06,960
Speaker 4: Many people did.

1348
01:03:07,280 --> 01:03:10,080
Speaker 1: Many people who you know, supported the Iraq War for

1349
01:03:10,160 --> 01:03:12,680
Speaker 1: years and years and years. By the time Trump got

1350
01:03:12,680 --> 01:03:15,240
Speaker 1: around to saying he opposed it, they also opposed it. It

1351
01:03:15,280 --> 01:03:18,120
Speaker 1: was an easy position to take. So yeah, I think

1352
01:03:18,160 --> 01:03:20,400
Speaker 1: it's much more personal. The Jeb Bush point is a

1353
01:03:20,400 --> 01:03:23,720
Speaker 1: good one, you know, like they embarrassed and humiliated him,

1354
01:03:23,760 --> 01:03:26,280
Speaker 1: and that creates his personal beef. I think the Liz

1355
01:03:26,400 --> 01:03:29,160
Speaker 1: Cheney endorsement is more defensible because I think it is

1356
01:03:29,200 --> 01:03:33,000
Speaker 1: a defensible position to say, Listen, I disagree with Kamala

1357
01:03:33,000 --> 01:03:36,000
Speaker 1: Harris on any number of things, but Donald Trump literally

1358
01:03:36,040 --> 01:03:39,040
Speaker 1: tried to steal the election January sixth, Like, we just

1359
01:03:39,120 --> 01:03:41,600
Speaker 1: can't have this, so we got to vote for Kamala Harrison.

1360
01:03:41,640 --> 01:03:44,520
Speaker 1: Try to move past the Trump era the Dictioneney one though,

1361
01:03:44,520 --> 01:03:47,880
Speaker 1: again because he actually like did steal an election. It's

1362
01:03:47,880 --> 01:03:50,360
Speaker 1: hard to see this man as any sort of beacon

1363
01:03:50,480 --> 01:03:53,240
Speaker 1: or scion of as democracy. It just seems like it's

1364
01:03:53,240 --> 01:03:56,560
Speaker 1: more about being pissed off about it not being his

1365
01:03:56,760 --> 01:03:59,520
Speaker 1: party anymore, him not being the one who's behind the

1366
01:03:59,560 --> 01:04:02,440
Speaker 1: scenes holding the levers or having the ends, and his

1367
01:04:02,640 --> 01:04:03,960
Speaker 1: cadre of people around them.

1368
01:04:04,000 --> 01:04:06,320
Speaker 2: So, I don't know, it just bugs me too. With Cheney,

1369
01:04:06,400 --> 01:04:09,160
Speaker 2: it's like who did more? Listen, like, be real, who

1370
01:04:09,160 --> 01:04:12,600
Speaker 2: did the most damage to this country? Definitely in my

1371
01:04:12,680 --> 01:04:16,640
Speaker 2: lifetime are from the post let's say, the post Vietnam era.

1372
01:04:16,760 --> 01:04:19,960
Speaker 3: It's not even a question about Bush and Cheney. It

1373
01:04:20,040 --> 01:04:21,040
Speaker 3: is not a question.

1374
01:04:21,520 --> 01:04:24,400
Speaker 2: All of the ills that we face today have their

1375
01:04:24,400 --> 01:04:28,640
Speaker 2: genesis in the Bush Cheney presidency. They cost us more dollars,

1376
01:04:28,720 --> 01:04:32,880
Speaker 2: lives wise, international prestige, the financial crisis. I could go

1377
01:04:33,000 --> 01:04:36,920
Speaker 2: on forever, like they are absolutely. Bush is absolutely the

1378
01:04:36,960 --> 01:04:41,160
Speaker 2: worst president since FDR and in my opinion probably like

1379
01:04:41,360 --> 01:04:44,680
Speaker 2: second worst president of all time, only because James Buchanan

1380
01:04:45,040 --> 01:04:48,840
Speaker 2: was worse. And so the rehabbing of these people, especially

1381
01:04:48,920 --> 01:04:52,440
Speaker 2: within their own lifetimes is maddening only because they you know,

1382
01:04:52,520 --> 01:04:55,480
Speaker 2: it's it's one thing to rehab Nicole Wallace, although she

1383
01:04:55,800 --> 01:04:58,360
Speaker 2: you know should not. It is one thing to rehab

1384
01:04:58,480 --> 01:05:02,480
Speaker 2: Ari Fleischer. It is a whole for the Cheney, for

1385
01:05:02,600 --> 01:05:05,680
Speaker 2: Cheney and Dick Cheney specifically, and for George W.

1386
01:05:05,800 --> 01:05:06,080
Speaker 14: Bush.

1387
01:05:06,120 --> 01:05:07,320
Speaker 3: I just I cannot count them.

1388
01:05:07,360 --> 01:05:09,200
Speaker 4: So Kama is excited about it.

1389
01:05:09,240 --> 01:05:13,720
Speaker 1: Though apparently she got asked about this endorsement and how

1390
01:05:13,720 --> 01:05:14,480
Speaker 1: she feels about it.

1391
01:05:14,560 --> 01:05:15,880
Speaker 4: Let's take a listen to what she had to say,

1392
01:05:16,960 --> 01:05:17,400
Speaker 4: or what.

1393
01:05:17,400 --> 01:05:17,680
Speaker 2: Do you think.

1394
01:05:18,080 --> 01:05:21,640
Speaker 5: I'm actually I'm honored to have their endorsement. And I

1395
01:05:21,680 --> 01:05:28,200
Speaker 5: think that what they both as leaders who are well respected,

1396
01:05:28,280 --> 01:05:33,080
Speaker 5: are making an important statement that it's okay and it's

1397
01:05:33,120 --> 01:05:36,040
Speaker 5: not important to put country above party.

1398
01:05:36,960 --> 01:05:39,000
Speaker 4: And I'm honored to have their.

1399
01:05:39,000 --> 01:05:41,959
Speaker 5: Support, and I think it's an important statement right now.

1400
01:05:42,120 --> 01:05:44,640
Speaker 5: A lot of what I think is happening, and I

1401
01:05:44,680 --> 01:05:47,200
Speaker 5: was just talking with some folks here in Pittsburgh about it,

1402
01:05:47,240 --> 01:05:51,120
Speaker 5: is that people are exhausted about the division and the

1403
01:05:51,160 --> 01:05:53,280
Speaker 5: attempts to kind of divide us as Americans.

1404
01:05:53,640 --> 01:05:58,240
Speaker 1: She's honored heart of these respected leaders that are talk

1405
01:05:58,280 --> 01:06:00,000
Speaker 1: a little bit about it, because I think you're an

1406
01:06:00,000 --> 01:06:02,560
Speaker 1: analysis of the electoral impacts a little different. I think

1407
01:06:02,600 --> 01:06:06,240
Speaker 1: this is nothing but bad that look toxic, Like I

1408
01:06:06,280 --> 01:06:07,680
Speaker 1: just see no benefits.

1409
01:06:07,280 --> 01:06:09,480
Speaker 3: Okay, I would challenge it on the same RFK grounds.

1410
01:06:09,520 --> 01:06:11,200
Speaker 2: A lot of people who hate RFK we're not going

1411
01:06:11,280 --> 01:06:13,720
Speaker 2: to vote for com or for Trump or sorry, a

1412
01:06:13,720 --> 01:06:15,200
Speaker 2: lot of people who hate RFK, We're not going to

1413
01:06:15,240 --> 01:06:18,400
Speaker 2: vote for Trump anywhere. They're called Democrats. So then if

1414
01:06:18,440 --> 01:06:20,600
Speaker 2: you look at the only slice who's going to help

1415
01:06:20,680 --> 01:06:24,520
Speaker 2: him potential RFK voters, on balance, it's a net positive. Now,

1416
01:06:24,560 --> 01:06:26,240
Speaker 2: are there more people who are going to vote against

1417
01:06:26,240 --> 01:06:28,480
Speaker 2: Trump because of the RFK endorsement than who will vote

1418
01:06:28,520 --> 01:06:30,760
Speaker 2: for him? I don't believe so. Now same here for

1419
01:06:30,800 --> 01:06:33,880
Speaker 2: the Liz Cheney. Unfortunately, I live amongst these people. I

1420
01:06:33,920 --> 01:06:35,960
Speaker 2: was just showing you a sign for one of my neighbors.

1421
01:06:36,000 --> 01:06:38,160
Speaker 3: They worship them. They like Dick Cheney. A lot of

1422
01:06:38,160 --> 01:06:41,120
Speaker 3: these people serve in the Bush administration. Dick Cheney. If

1423
01:06:41,120 --> 01:06:45,280
Speaker 3: you noticed, what did that say about where the issues?

1424
01:06:45,640 --> 01:06:45,880
Speaker 10: It was?

1425
01:06:45,920 --> 01:06:49,520
Speaker 2: The statement was from McClain Virginia. These are died in

1426
01:06:49,560 --> 01:06:52,600
Speaker 2: the wool, filthy rich people net worth of ten million

1427
01:06:52,640 --> 01:06:58,200
Speaker 2: dollars or above, or aspiring members of the military industrial complex. Unfortunately,

1428
01:06:58,560 --> 01:07:00,640
Speaker 2: that white swing suburban demographic.

1429
01:07:00,920 --> 01:07:02,000
Speaker 3: They love Liz Cheney.

1430
01:07:02,080 --> 01:07:05,440
Speaker 2: They're obsessed with January sixth they are obsessed with the

1431
01:07:05,520 --> 01:07:09,480
Speaker 2: New York Times. Those people actually did or were a

1432
01:07:09,520 --> 01:07:13,720
Speaker 2: swing demographic in twenty twenty. So I very unfortunately do

1433
01:07:13,800 --> 01:07:16,080
Speaker 2: think that there's this rehabbing image and all of that

1434
01:07:16,080 --> 01:07:18,440
Speaker 2: that I just talked about. They view the Bush years

1435
01:07:18,600 --> 01:07:21,080
Speaker 2: very differently than I think you or I would, or

1436
01:07:21,160 --> 01:07:24,880
Speaker 2: any frankly you know thinking person would. But if you're

1437
01:07:26,000 --> 01:07:28,600
Speaker 2: let's also think about the experience of these folks. They

1438
01:07:28,680 --> 01:07:31,439
Speaker 2: became very rich over the last twenty years. Most people

1439
01:07:31,520 --> 01:07:34,439
Speaker 2: were my age became very poor over the last twenty years.

1440
01:07:34,440 --> 01:07:36,240
Speaker 2: If you are poor, you became much poorer. If you

1441
01:07:36,280 --> 01:07:38,960
Speaker 2: were rich, you became much richer. So your kind of

1442
01:07:39,000 --> 01:07:42,120
Speaker 2: heuristic on that past is very different as opposed for

1443
01:07:42,200 --> 01:07:44,560
Speaker 2: the actual like personal stakes of this. I think on

1444
01:07:44,640 --> 01:07:47,200
Speaker 2: net unfortunately is very likely a positive. There's a lot

1445
01:07:47,200 --> 01:07:48,360
Speaker 2: of suburban people like her.

1446
01:07:48,520 --> 01:07:51,400
Speaker 1: I just can't see anyone being swayed by a chance.

1447
01:07:51,920 --> 01:07:55,200
Speaker 1: So I just can't see anyone positive. I mean, listen,

1448
01:07:55,240 --> 01:07:57,920
Speaker 1: the people that you're describing in like, you know, this

1449
01:07:58,080 --> 01:08:02,600
Speaker 1: narrow slice of northern Virginia. I mean, they're already know

1450
01:08:02,640 --> 01:08:05,520
Speaker 1: who they're going to vote for. That's done. So I

1451
01:08:05,960 --> 01:08:11,520
Speaker 1: don't know I think that both these Chinese very much

1452
01:08:11,560 --> 01:08:15,120
Speaker 1: overestimate their ability to move a single vote. I just

1453
01:08:15,120 --> 01:08:19,120
Speaker 1: don't think anyone cares that much. And listen, there've already

1454
01:08:19,120 --> 01:08:23,800
Speaker 1: been so many Republicans, former Republicans who have come out

1455
01:08:23,840 --> 01:08:26,879
Speaker 1: against Trump. His own, I mean, his own previous cabinet

1456
01:08:26,920 --> 01:08:30,080
Speaker 1: members have overwhelmingly come out against him and said he

1457
01:08:30,080 --> 01:08:33,080
Speaker 1: shouldn't be in the White House again. And it doesn't

1458
01:08:33,120 --> 01:08:35,880
Speaker 1: really seem to move the needle. So I don't really

1459
01:08:35,920 --> 01:08:39,000
Speaker 1: expect it to change much. And I just think it's

1460
01:08:39,760 --> 01:08:42,120
Speaker 1: morally grotesque to rehab these people.

1461
01:08:42,200 --> 01:08:46,439
Speaker 4: So that's where I am with them on that one.

1462
01:08:46,760 --> 01:08:51,480
Speaker 2: Let's go over to the Tenant Media and the continuation

1463
01:08:51,840 --> 01:08:54,400
Speaker 2: of all of this. We finally, if you will recall

1464
01:08:54,520 --> 01:08:59,840
Speaker 2: the details which brought you all the news Thursday of

1465
01:09:00,080 --> 01:09:05,439
Speaker 2: this massive scandal, which basically was a shell company called

1466
01:09:05,600 --> 01:09:10,720
Speaker 2: Tenant Media, which was run by the YouTuber and right

1467
01:09:10,760 --> 01:09:14,519
Speaker 2: wing personality Lauren Chen and her husband Liam Donovan, who

1468
01:09:14,640 --> 01:09:18,200
Speaker 2: according allegedly according to the Department of Justice, accepted some

1469
01:09:18,280 --> 01:09:21,200
Speaker 2: ten million dollars on behalf of the Russian government and

1470
01:09:21,240 --> 01:09:26,640
Speaker 2: then deceived multiple other commentators, including Timpoole, Benny Johnson, and

1471
01:09:26,760 --> 01:09:30,960
Speaker 2: Dave Rubin and paying the exorbitant rates for videos to

1472
01:09:31,080 --> 01:09:33,960
Speaker 2: then appear on the tenant media channel. So that's kind

1473
01:09:33,960 --> 01:09:38,200
Speaker 2: of the general overview of that. Again, to reiterate, those

1474
01:09:38,200 --> 01:09:42,599
Speaker 2: commentators were deceived, according to the Department of Justice. Now

1475
01:09:42,720 --> 01:09:45,000
Speaker 2: since then multiple of them spoke out, it brought you

1476
01:09:45,080 --> 01:09:47,599
Speaker 2: their statements. One of them, Timpoole, appeared on the Ben

1477
01:09:47,640 --> 01:09:51,000
Speaker 2: Shapiro Show, to answer questions about this.

1478
01:09:51,200 --> 01:09:52,680
Speaker 3: Let's take a listen to his explanation.

1479
01:09:53,080 --> 01:09:54,840
Speaker 15: You and I disagree, I think on some of the

1480
01:09:54,880 --> 01:09:57,080
Speaker 15: elements around the Ukraine War. But the idea that that's

1481
01:09:57,080 --> 01:09:58,840
Speaker 15: been put forth by the media is that somehow you

1482
01:09:58,880 --> 01:10:01,640
Speaker 15: were being paid directly by Vladimir Putin in order to

1483
01:10:01,680 --> 01:10:05,439
Speaker 15: express those views, and that therefore anybody who disagrees with

1484
01:10:05,520 --> 01:10:08,360
Speaker 15: sort of the democratic take or even the sort of

1485
01:10:08,360 --> 01:10:10,920
Speaker 15: moderate Republican take on this must be paid by Russia. That,

1486
01:10:10,960 --> 01:10:12,720
Speaker 15: of course, is an absurdity, and I think it is

1487
01:10:12,720 --> 01:10:15,679
Speaker 15: wrapped into a broader narrative that seems to be ramping

1488
01:10:15,800 --> 01:10:17,559
Speaker 15: up just in time for the election, which is that

1489
01:10:17,680 --> 01:10:19,519
Speaker 15: Russia's going to interfere in the election on behalf of

1490
01:10:19,560 --> 01:10:20,160
Speaker 15: Donald Trump.

1491
01:10:20,240 --> 01:10:23,160
Speaker 16: I barely even talk to Lauren, and it's kind of crazy.

1492
01:10:23,160 --> 01:10:24,920
Speaker 16: I've known her for a long time, so when she

1493
01:10:24,960 --> 01:10:27,600
Speaker 16: said that she was launching a company she had investors,

1494
01:10:27,880 --> 01:10:31,080
Speaker 16: I'm like, okay, I mean I hear that fifty times

1495
01:10:31,080 --> 01:10:34,800
Speaker 16: a year. And in the podcast space, we just heard that.

1496
01:10:34,960 --> 01:10:36,880
Speaker 16: I think Travis Kelsey is getting a one hundred million

1497
01:10:36,920 --> 01:10:40,320
Speaker 16: dollar contract. So these numbers are that's where they're at.

1498
01:10:40,439 --> 01:10:42,519
Speaker 16: I think people don't realize how big the podcasting space

1499
01:10:42,560 --> 01:10:44,919
Speaker 16: is and the revenue you generate from sponsorships and membership.

1500
01:10:45,000 --> 01:10:48,479
Speaker 16: And for all I knew, this was Lauren Chin. She

1501
01:10:48,520 --> 01:10:51,600
Speaker 16: works the Blaze. She wanted to start a company, she

1502
01:10:51,600 --> 01:10:54,720
Speaker 16: found investors. That was seemingly the gist of it. We

1503
01:10:54,800 --> 01:10:58,280
Speaker 16: only ever took money from an American corporation. The amount

1504
01:10:58,280 --> 01:11:00,839
Speaker 16: of money that we were offered for the show around

1505
01:11:00,840 --> 01:11:03,479
Speaker 16: market value for offers we had already received. We have

1506
01:11:03,520 --> 01:11:05,559
Speaker 16: people tweeting at me like give the money back or

1507
01:11:05,600 --> 01:11:07,120
Speaker 16: whatever it is, Like, dude, let me put this way.

1508
01:11:07,200 --> 01:11:09,920
Speaker 16: We're talking to our legal team. I can say that

1509
01:11:10,080 --> 01:11:13,920
Speaker 16: I just announced I've been contacted by the FBI as

1510
01:11:14,920 --> 01:11:18,479
Speaker 16: a victim of a potential victim in a crime. They

1511
01:11:18,520 --> 01:11:20,920
Speaker 16: have stated that I may have information relevant to their

1512
01:11:20,920 --> 01:11:23,280
Speaker 16: ongoing investigation and requested a voluntary interview.

1513
01:11:23,439 --> 01:11:26,439
Speaker 2: Okay, all right, there's actually we need to parse a

1514
01:11:26,479 --> 01:11:29,479
Speaker 2: couple of things. And that's why everybody was like everybody

1515
01:11:29,479 --> 01:11:31,880
Speaker 2: who was saying, this is an unbelievable amount. The reason

1516
01:11:31,920 --> 01:11:33,960
Speaker 2: it was an unbelievable amount is because it was an

1517
01:11:34,040 --> 01:11:38,040
Speaker 2: unbelievable amount per video, per the amount of work, and

1518
01:11:38,080 --> 01:11:40,559
Speaker 2: per the amount of views that it was getting. Now,

1519
01:11:40,680 --> 01:11:42,880
Speaker 2: I have no doubt that the Tempool Show, even the

1520
01:11:42,920 --> 01:11:46,120
Speaker 2: Culture War and all that, genuinely is a multimillion dollar property.

1521
01:11:46,600 --> 01:11:50,040
Speaker 2: If if and this is the big one, ads are

1522
01:11:50,040 --> 01:11:52,320
Speaker 2: being placed on it, and it is getting the amount

1523
01:11:52,320 --> 01:11:55,240
Speaker 2: of views that it is on his channel, It's very

1524
01:11:55,240 --> 01:11:59,479
Speaker 2: different when you're getting some eight thousand views on another channel.

1525
01:12:00,080 --> 01:12:03,400
Speaker 2: Also had to look at the monetization, the monetization of

1526
01:12:03,439 --> 01:12:06,519
Speaker 2: tenant media and all that clearly did not align with

1527
01:12:06,760 --> 01:12:08,920
Speaker 2: the numbers that he's talking about. So, for example, on

1528
01:12:09,000 --> 01:12:11,439
Speaker 2: the Travis Kelce thing, one hundred million, Yeah, that makes

1529
01:12:11,479 --> 01:12:15,400
Speaker 2: a lot of sense because it's an exclusive advertising deal

1530
01:12:15,800 --> 01:12:18,880
Speaker 2: over a long length of time and they own the

1531
01:12:18,960 --> 01:12:22,200
Speaker 2: exclusive right to place ads on that. That's why the

1532
01:12:22,240 --> 01:12:24,160
Speaker 2: Joe Rogan deal made sense. That's why they call her

1533
01:12:24,200 --> 01:12:24,920
Speaker 2: daddy makes sense.

1534
01:12:25,120 --> 01:12:25,599
Speaker 3: As well.

1535
01:12:26,000 --> 01:12:29,200
Speaker 2: Now if call her Daddy were to retain the rights

1536
01:12:29,240 --> 01:12:31,200
Speaker 2: to it, and then every once in a while Alex

1537
01:12:31,280 --> 01:12:34,400
Speaker 2: Cooper did some shitty video for another channel and she

1538
01:12:34,439 --> 01:12:36,800
Speaker 2: was getting paid one hundred million. That's actually a whole

1539
01:12:36,800 --> 01:12:40,320
Speaker 2: different story, right, And I think you know, anybody involved,

1540
01:12:40,439 --> 01:12:42,120
Speaker 2: especially I understand people were listening.

1541
01:12:42,160 --> 01:12:42,840
Speaker 3: They don't know all this.

1542
01:12:42,920 --> 01:12:46,280
Speaker 2: Obviously, we're deeply immersed in it because this is our livelihood.

1543
01:12:46,400 --> 01:12:49,160
Speaker 2: That is why folks like me, Crystal jank Yuger and

1544
01:12:49,200 --> 01:12:50,960
Speaker 2: others saw the numbers and were like, this is bullshit.

1545
01:12:51,080 --> 01:12:51,760
Speaker 3: Yeah, and we knew it.

1546
01:12:51,680 --> 01:12:54,800
Speaker 1: Immediately, the utterly proposers. Again, we looked up the numbers.

1547
01:12:54,880 --> 01:12:55,599
Speaker 4: Last what is it?

1548
01:12:55,680 --> 01:12:59,160
Speaker 1: These videos are getting like eight thousand views on matsstery.

1549
01:12:58,880 --> 01:13:00,000
Speaker 3: Some of them are only like twelve hundred.

1550
01:13:00,080 --> 01:13:02,120
Speaker 2: Now, that's pretty fair. Tim's show actually was doing some

1551
01:13:02,280 --> 01:13:06,120
Speaker 2: hundred k. But again, one hundred k is not a lot.

1552
01:13:06,240 --> 01:13:09,960
Speaker 2: Actually when it comes to the one hundred thousand, very different.

1553
01:13:10,200 --> 01:13:13,759
Speaker 2: If he's monetizing directly. There's premious descriptions and all that. Sure,

1554
01:13:13,800 --> 01:13:16,920
Speaker 2: we could maybe get to that number annually, yeah, but.

1555
01:13:16,880 --> 01:13:19,240
Speaker 1: That's not what Yeah, that's not what we're talking about.

1556
01:13:19,280 --> 01:13:21,439
Speaker 1: So even in the indictment. If you read the indictment,

1557
01:13:21,680 --> 01:13:23,960
Speaker 1: there's a part where I think it was Lauren chen

1558
01:13:24,240 --> 01:13:27,680
Speaker 1: or her husband goes to you know, Tim Poole and

1559
01:13:27,760 --> 01:13:30,479
Speaker 1: Dave Rubin and Benny Johnson and it's like, okay, well,

1560
01:13:30,520 --> 01:13:31,960
Speaker 1: what do you need to get in order to make

1561
01:13:32,000 --> 01:13:32,720
Speaker 1: this worth your while?

1562
01:13:32,720 --> 01:13:34,640
Speaker 4: And they give their number and she goes back to the.

1563
01:13:34,720 --> 01:13:36,240
Speaker 1: Russians and it's like, I don't think this is going

1564
01:13:36,320 --> 01:13:39,040
Speaker 1: to work, Like there's no way that it's worth paying

1565
01:13:39,080 --> 01:13:40,760
Speaker 1: this much money, and they're like, nope, we'll do it.

1566
01:13:40,840 --> 01:13:43,080
Speaker 1: So even in the indictment, it's like they knew that

1567
01:13:43,160 --> 01:13:46,200
Speaker 1: this is not economic. And then it's also you know,

1568
01:13:46,320 --> 01:13:49,200
Speaker 1: I don't know what Tim's specific interactions were with regard

1569
01:13:49,240 --> 01:13:52,880
Speaker 1: to this fake businessman and whatever, but he's also acting like, oh,

1570
01:13:52,920 --> 01:13:54,160
Speaker 1: we were just dealing with Lauren.

1571
01:13:54,200 --> 01:13:56,360
Speaker 4: We had no idea. Well, we know that there were

1572
01:13:56,640 --> 01:13:57,320
Speaker 4: Russians in.

1573
01:13:57,280 --> 01:14:00,360
Speaker 1: The producer discord, and we know that the course of

1574
01:14:00,400 --> 01:14:03,600
Speaker 1: the money was quite a bit of discussion. So I

1575
01:14:03,640 --> 01:14:08,920
Speaker 1: guess part of, you know, part of what this illustrates is, yeah,

1576
01:14:09,040 --> 01:14:11,760
Speaker 1: they think this kind of money floating around is no

1577
01:14:11,840 --> 01:14:14,719
Speaker 1: big deal because they're taking all kinds of like shady cash.

1578
01:14:14,920 --> 01:14:17,960
Speaker 1: There's a reason why Ben Shapiro defends him because of

1579
01:14:18,040 --> 01:14:21,120
Speaker 1: the amount of you know, shady ads he does, an

1580
01:14:21,160 --> 01:14:21,800
Speaker 1: amount of.

1581
01:14:22,000 --> 01:14:23,160
Speaker 4: Dollars that he gets in.

1582
01:14:23,320 --> 01:14:26,040
Speaker 1: Like they think that's fine and good and okay whatever,

1583
01:14:26,439 --> 01:14:29,840
Speaker 1: But don't call yourself independent media. You know, call yourself

1584
01:14:29,920 --> 01:14:34,240
Speaker 1: like it's just another version of corporate media. When you're

1585
01:14:34,280 --> 01:14:37,519
Speaker 1: willing to take money from any shady source that shows

1586
01:14:37,600 --> 01:14:40,040
Speaker 1: up and says, hey, I'll pay you a ridiculous rate,

1587
01:14:40,320 --> 01:14:42,320
Speaker 1: and you don't ask any questions. You just take the

1588
01:14:42,320 --> 01:14:45,400
Speaker 1: cash and do it. Okay, that's your prerogative. But don't

1589
01:14:45,400 --> 01:14:48,439
Speaker 1: go out and talk about the corruption of mainstream media.

1590
01:14:48,680 --> 01:14:52,040
Speaker 1: Don't pretend you're any freakin' different, because ultimately you're not.

1591
01:14:52,320 --> 01:14:55,840
Speaker 1: If anything, your incentives are worse because when you're the

1592
01:14:55,880 --> 01:14:59,920
Speaker 1: one that's actually reading the ads, like, what a ConfL

1593
01:15:00,160 --> 01:15:03,840
Speaker 1: of interest that is. So, yeah, we talked about the

1594
01:15:03,880 --> 01:15:06,400
Speaker 1: Russia Gate angle. That's definitely true that the whole reason

1595
01:15:06,439 --> 01:15:08,120
Speaker 1: this is coming up now is because they're like trying

1596
01:15:08,160 --> 01:15:09,639
Speaker 1: to revive Russiagate and whatever.

1597
01:15:09,960 --> 01:15:11,520
Speaker 4: But also this whole.

1598
01:15:11,200 --> 01:15:16,120
Speaker 1: Scheme with the you know, these two individuals using pseudonyms,

1599
01:15:16,160 --> 01:15:19,960
Speaker 1: inventing a fake businessman, laundering money, deceiving talent, et cetera,

1600
01:15:20,040 --> 01:15:23,920
Speaker 1: deceiving the audiences too, Like that should be illegal, it

1601
01:15:24,000 --> 01:15:28,240
Speaker 1: should be prosecuted. And then on on a like moral level,

1602
01:15:28,360 --> 01:15:31,080
Speaker 1: I don't really care whether it was shady Russians or

1603
01:15:31,160 --> 01:15:35,680
Speaker 1: shady Ukrainians, are shady random American businessman. All of it

1604
01:15:35,760 --> 01:15:38,439
Speaker 1: compromises your ethics and your principle if you want to

1605
01:15:38,439 --> 01:15:41,280
Speaker 1: hold yourself out as independent media, and this.

1606
01:15:41,320 --> 01:15:42,559
Speaker 4: Like uncorruptible force.

1607
01:15:42,880 --> 01:15:46,080
Speaker 1: So to me, that's more like, okay, I could believe

1608
01:15:46,120 --> 01:15:49,160
Speaker 1: you that you know you didn't know it was coming. Okay, fine,

1609
01:15:49,680 --> 01:15:52,360
Speaker 1: but that this is the way you do business, like

1610
01:15:52,400 --> 01:15:54,639
Speaker 1: you'll just take these cash and you don't really care

1611
01:15:54,680 --> 01:15:58,200
Speaker 1: about what it is, what they want you to do,

1612
01:15:58,920 --> 01:16:00,240
Speaker 1: what the strings attached star.

1613
01:16:00,600 --> 01:16:02,360
Speaker 4: It's not independent media.

1614
01:16:02,439 --> 01:16:04,479
Speaker 2: I think it's a failure of due diligence more than anything,

1615
01:16:04,520 --> 01:16:06,960
Speaker 2: which is again I mean I put this out on Twitter,

1616
01:16:06,960 --> 01:16:10,360
Speaker 2: and my immediate reaction was I said, ethics and independence

1617
01:16:10,479 --> 01:16:11,800
Speaker 2: actually matter more.

1618
01:16:12,000 --> 01:16:14,040
Speaker 3: Whenever ethics integrity matters more.

1619
01:16:14,520 --> 01:16:17,280
Speaker 2: I mean, look, you know their response is pharma cash

1620
01:16:17,360 --> 01:16:20,320
Speaker 2: goes to big business or to a corporate media, and

1621
01:16:20,360 --> 01:16:22,280
Speaker 2: then thus they don't you know, quote unquote tell you

1622
01:16:22,280 --> 01:16:23,559
Speaker 2: the truth I'm like, yeah, that's true. But if you're

1623
01:16:23,560 --> 01:16:25,599
Speaker 2: going to call that out, you have to hold yourself

1624
01:16:25,680 --> 01:16:26,839
Speaker 2: up to a higher standing, higher.

1625
01:16:26,680 --> 01:16:28,679
Speaker 4: Standard, right to a higher stand they hold themselves lower

1626
01:16:28,720 --> 01:16:30,280
Speaker 4: stand So now you're.

1627
01:16:30,120 --> 01:16:32,320
Speaker 2: At exactly like with the farm of People and all that,

1628
01:16:32,360 --> 01:16:35,240
Speaker 2: at least there's probably a negotiation between CNN's team and

1629
01:16:35,760 --> 01:16:38,040
Speaker 2: you know, the journalists, Like in this case, when you're

1630
01:16:38,040 --> 01:16:40,040
Speaker 2: an owner operator, the way that you are, you and

1631
01:16:40,080 --> 01:16:41,960
Speaker 2: I are, the way that Ben Shapiro is, the way

1632
01:16:42,000 --> 01:16:44,280
Speaker 2: the Tempool is, the way that all Dave Rubin is

1633
01:16:44,320 --> 01:16:46,920
Speaker 2: and all these others you are directly you know, have

1634
01:16:47,040 --> 01:16:51,080
Speaker 2: a both a financial stake and are and are actually

1635
01:16:51,120 --> 01:16:54,840
Speaker 2: negotiating the very parameters of everything that you are doing.

1636
01:16:55,040 --> 01:16:57,720
Speaker 2: Thus setting standards like we do here where we just

1637
01:16:57,760 --> 01:17:00,160
Speaker 2: say no, we don't do any ad reads keeps you

1638
01:17:00,200 --> 01:17:02,240
Speaker 2: from all companies. I mean, if you listen to the

1639
01:17:02,240 --> 01:17:04,320
Speaker 2: Ben Shapiro Show, part of the reason that they make

1640
01:17:04,360 --> 01:17:06,960
Speaker 2: so much money is because they will read advertising both

1641
01:17:06,960 --> 01:17:08,760
Speaker 2: for their own in actually think it's better to read

1642
01:17:08,760 --> 01:17:10,920
Speaker 2: for your own in house products as opposed to like

1643
01:17:11,080 --> 01:17:15,559
Speaker 2: buying gold or you know, some sketchy security system or

1644
01:17:15,880 --> 01:17:20,479
Speaker 2: like some fake technology or some fake like Prepper Guide,

1645
01:17:20,520 --> 01:17:21,839
Speaker 2: like the amount of vetting.

1646
01:17:22,120 --> 01:17:24,000
Speaker 3: I mean, how many times have we seen this too?

1647
01:17:24,200 --> 01:17:26,640
Speaker 2: I even know people like they're like, I have this

1648
01:17:26,680 --> 01:17:29,320
Speaker 2: great product, you can have you can know them, But

1649
01:17:29,360 --> 01:17:30,960
Speaker 2: then it will come out five years later it's like,

1650
01:17:30,960 --> 01:17:33,639
Speaker 2: oh the business was a bus or quality control was bad.

1651
01:17:33,960 --> 01:17:36,240
Speaker 2: You know, putting your name and your inpromtur on something

1652
01:17:36,600 --> 01:17:40,400
Speaker 2: is very important, and you know, especially whenever somebody is

1653
01:17:40,479 --> 01:17:43,200
Speaker 2: genuinely trying to bring you the news. So I just

1654
01:17:43,240 --> 01:17:46,720
Speaker 2: think it's a big problem that in general that this

1655
01:17:46,800 --> 01:17:50,640
Speaker 2: amount that for the due diligence based on this, it

1656
01:17:50,720 --> 01:17:54,880
Speaker 2: creates very perverse incentives. And it is clear that this

1657
01:17:54,960 --> 01:17:57,880
Speaker 2: did not happen in a vacuum. It happens in a

1658
01:17:57,920 --> 01:18:01,519
Speaker 2: bigger system, and that system it's self is a problem.

1659
01:18:01,600 --> 01:18:04,720
Speaker 2: So let's get to the next part, which is highlights

1660
01:18:04,800 --> 01:18:08,320
Speaker 2: exactly what I'm saying, because it's not about Timpoole. It

1661
01:18:08,400 --> 01:18:12,680
Speaker 2: is about the incentives of what all of this looks like.

1662
01:18:13,000 --> 01:18:16,679
Speaker 2: And here we have a commercial break during the Timpoole

1663
01:18:16,760 --> 01:18:19,919
Speaker 2: Show with Ben Shapiro that you will find interesting.

1664
01:18:20,240 --> 01:18:21,080
Speaker 3: Let's take a listen.

1665
01:18:21,200 --> 01:18:23,800
Speaker 16: It's frustrating to get entangled and whatever whatever it is.

1666
01:18:23,800 --> 01:18:24,759
Speaker 16: She's accused of being.

1667
01:18:24,600 --> 01:18:26,880
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1668
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1671
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1676
01:18:44,960 --> 01:18:45,559
Speaker 15: leaving your home.

1677
01:18:46,120 --> 01:18:47,280
Speaker 3: Yeah.

1678
01:18:47,320 --> 01:18:50,840
Speaker 2: I've been probably watched that Oh my god, undred times.

1679
01:18:50,880 --> 01:18:54,479
Speaker 1: She's in the middle his offense for like accidentally taking

1680
01:18:54,479 --> 01:18:58,519
Speaker 1: this money from Russians and they break for an israel assam.

1681
01:18:59,080 --> 01:19:00,599
Speaker 3: Yeah, yeah, out of what you want.

1682
01:19:00,680 --> 01:19:02,840
Speaker 4: That's the ecosystem. But your point is spot on.

1683
01:19:03,000 --> 01:19:06,320
Speaker 1: That your point is absolutely spot on, and the same

1684
01:19:06,400 --> 01:19:10,679
Speaker 1: reason it's gross that mainstream outlets take money from pharma

1685
01:19:10,880 --> 01:19:14,519
Speaker 1: or from banks or whatever, and there's you know, a

1686
01:19:14,640 --> 01:19:18,920
Speaker 1: sense and probably a reality that impacts their coverage. And

1687
01:19:18,960 --> 01:19:21,840
Speaker 1: those are reasonable questions to ask and problems to raise

1688
01:19:22,439 --> 01:19:25,519
Speaker 1: if you're taking money from gold bugs or health supplement

1689
01:19:25,600 --> 01:19:29,560
Speaker 1: companies or whatever, and there's not even an illusion of

1690
01:19:29,600 --> 01:19:33,000
Speaker 1: an arms light distance. You're out there shilling for it directly.

1691
01:19:33,600 --> 01:19:36,040
Speaker 1: That's not a conflict of interest, like, of course it is.

1692
01:19:36,439 --> 01:19:38,479
Speaker 1: Of course, it's reasonable for people to think that that's

1693
01:19:38,479 --> 01:19:40,599
Speaker 1: going to impact the way you talk about these things.

1694
01:19:40,800 --> 01:19:43,519
Speaker 1: So to me, this just illustrates, you know, a much

1695
01:19:43,600 --> 01:19:46,080
Speaker 1: deeper problem in quote unquote independent media.

1696
01:19:46,080 --> 01:19:47,519
Speaker 4: And we really needed a new word for.

1697
01:19:47,439 --> 01:19:51,360
Speaker 1: It, because if you are going about your business model

1698
01:19:51,400 --> 01:19:55,200
Speaker 1: this way and you're just replicating and actually amplifying all

1699
01:19:55,280 --> 01:19:58,759
Speaker 1: of the bad incentives and conflicts of interest and corruption

1700
01:19:59,160 --> 01:20:02,160
Speaker 1: of mainstream media, you don't get to call yourself independent media,

1701
01:20:02,200 --> 01:20:04,400
Speaker 1: and you certainly don't get to like virtue signal and

1702
01:20:04,439 --> 01:20:07,280
Speaker 1: moralize about how superior you are and how much more

1703
01:20:07,320 --> 01:20:10,240
Speaker 1: noble and what are truth teller you are when you

1704
01:20:10,320 --> 01:20:15,519
Speaker 1: have sold out so hard for whoever whatever random shady,

1705
01:20:15,560 --> 01:20:17,800
Speaker 1: fake businessman happens to show up and say here's one

1706
01:20:17,880 --> 01:20:19,760
Speaker 1: hundred grand to do a single video that gets like

1707
01:20:19,760 --> 01:20:21,400
Speaker 1: ten thousand views or any advertising.

1708
01:20:21,439 --> 01:20:22,960
Speaker 2: I mean, just just like, how is that going to

1709
01:20:23,200 --> 01:20:25,880
Speaker 2: impact you? Just in the same way that CNN may

1710
01:20:25,880 --> 01:20:30,440
Speaker 2: feel uncomfortable criticizing an advertiser, I think that probably is

1711
01:20:30,439 --> 01:20:33,840
Speaker 2: is probably manifested ten times more. Whenever you're directly at

1712
01:20:33,840 --> 01:20:36,680
Speaker 2: reading ads for at an industry, like, for example, if

1713
01:20:36,680 --> 01:20:38,760
Speaker 2: you're reading ads for gold, what do you think your

1714
01:20:38,800 --> 01:20:41,360
Speaker 2: incentive is when you're talking about the Federal Reserve. Maybe

1715
01:20:41,360 --> 01:20:44,040
Speaker 2: I'm wrong, Okay, maybe, but I'm just saying, having worked

1716
01:20:44,040 --> 01:20:47,080
Speaker 2: in larger companies and all that, I think we've talked

1717
01:20:47,200 --> 01:20:48,720
Speaker 2: quite a bit about leaving the Hill and part of

1718
01:20:48,760 --> 01:20:51,800
Speaker 2: the financial reasons why we did so. Ethically, it is

1719
01:20:51,920 --> 01:20:54,240
Speaker 2: very difficult to try and tell the truth in this

1720
01:20:54,360 --> 01:20:58,760
Speaker 2: business whenever you are getting major pressure from different areas

1721
01:20:58,800 --> 01:21:02,240
Speaker 2: where money is flowing in and that will impact your

1722
01:21:02,280 --> 01:21:05,040
Speaker 2: overall coverage, your mindset whenever it comes into it. The

1723
01:21:05,080 --> 01:21:08,240
Speaker 2: only way to go above that is to have a

1724
01:21:08,280 --> 01:21:10,840
Speaker 2: direct premium subscription program the way that we do, and

1725
01:21:10,920 --> 01:21:14,960
Speaker 2: to have programmatic advertising that you are not tied to. Thus,

1726
01:21:15,000 --> 01:21:17,320
Speaker 2: when you criticize somebody and they happen to, you know,

1727
01:21:17,360 --> 01:21:22,040
Speaker 2: programmatically buy ads or something, you have no interfaces and

1728
01:21:22,120 --> 01:21:23,960
Speaker 2: if they pull out, you know, go ahead, There's a

1729
01:21:24,040 --> 01:21:27,519
Speaker 2: ten million mores that YouTube or Spotify, iHeartRadio or whatever

1730
01:21:27,720 --> 01:21:31,000
Speaker 2: will sell to somebody else and you have no input

1731
01:21:31,080 --> 01:21:31,479
Speaker 2: into that.

1732
01:21:31,520 --> 01:21:32,400
Speaker 3: Overall transaction.

1733
01:21:32,479 --> 01:21:33,840
Speaker 2: But yeah, it does mean you're going to make a

1734
01:21:33,880 --> 01:21:37,040
Speaker 2: lot less money, and so then you need to decide

1735
01:21:37,240 --> 01:21:38,880
Speaker 2: what you are in this to do.

1736
01:21:39,160 --> 01:21:40,840
Speaker 3: That's the last thing I'll say on that.

1737
01:21:41,040 --> 01:21:47,559
Speaker 1: Yes, indeed, once again we have some horrific news coming

1738
01:21:47,560 --> 01:21:48,479
Speaker 1: out of the Middle East.

1739
01:21:48,479 --> 01:21:49,719
Speaker 4: We can put this up on the screen.

1740
01:21:49,760 --> 01:21:53,679
Speaker 1: An American citizen now fatally shot murdered by the IDF

1741
01:21:53,800 --> 01:21:56,880
Speaker 1: in the West Bank at a protest reading from this

1742
01:21:56,960 --> 01:22:00,320
Speaker 1: AP article. Israeli soldiers killed an American woman demon's trading

1743
01:22:00,320 --> 01:22:03,040
Speaker 1: against settlements in the West Bank on Friday, according to

1744
01:22:03,560 --> 01:22:05,719
Speaker 1: witness who said she was shot while posing no threat

1745
01:22:05,760 --> 01:22:08,080
Speaker 1: to Israeli forces and during a moment of calm after

1746
01:22:08,120 --> 01:22:11,599
Speaker 1: clashes earlier in the afternoon. Two Palestinian doctors said twenty

1747
01:22:11,600 --> 01:22:15,280
Speaker 1: six year old asnore zgi Aggy of Seattle was shot

1748
01:22:15,320 --> 01:22:15,720
Speaker 1: in the head.

1749
01:22:15,760 --> 01:22:17,680
Speaker 4: The US government confirmed.

1750
01:22:17,160 --> 01:22:20,200
Speaker 1: Her death, did not say whether the recent graduate of

1751
01:22:20,240 --> 01:22:22,879
Speaker 1: the University of Washington, who was also a Turket citizen,

1752
01:22:22,960 --> 01:22:25,519
Speaker 1: had been shot by Israeli true so they have not

1753
01:22:26,000 --> 01:22:29,360
Speaker 1: accepted the many eyewitness accounts of what actually unfolded. The

1754
01:22:29,360 --> 01:22:31,640
Speaker 1: White House said it was quote deeply disturbed by the

1755
01:22:31,680 --> 01:22:34,600
Speaker 1: killing of a US citizen and called on Israel to

1756
01:22:34,680 --> 01:22:37,240
Speaker 1: investigate what happened. Yeah, I'm sure we all should have

1757
01:22:37,320 --> 01:22:39,000
Speaker 1: a lot of confidence in what's going to come out

1758
01:22:39,000 --> 01:22:42,000
Speaker 1: of that investigation. Also worth keeping in mind, as noted

1759
01:22:42,040 --> 01:22:46,160
Speaker 1: in this article, that Israel has now invaded the West Bank.

1760
01:22:46,600 --> 01:22:49,839
Speaker 1: They are effectively starting to turn the West Bank into Gaza,

1761
01:22:49,880 --> 01:22:53,880
Speaker 1: and more than six hundred and ninety Palestinians have been killed.

1762
01:22:54,000 --> 01:22:56,080
Speaker 1: Let's put this next piece up on the screen. A

1763
01:22:56,080 --> 01:23:00,120
Speaker 1: little bit about this young woman. She went to to

1764
01:23:00,200 --> 01:23:04,120
Speaker 1: protect Palestinian farmers from settler violence. According to a professor

1765
01:23:04,160 --> 01:23:06,000
Speaker 1: of hers, I know exactly what she would say right

1766
01:23:06,040 --> 01:23:08,599
Speaker 1: now if she were alive. She'd say, the only reason

1767
01:23:08,640 --> 01:23:11,520
Speaker 1: I'm in the headlines is because I have American citizenship,

1768
01:23:11,760 --> 01:23:14,800
Speaker 1: which I think is sadly true. We have become numb

1769
01:23:14,920 --> 01:23:17,240
Speaker 1: to Palestinian law. She goes on to describe her as

1770
01:23:17,240 --> 01:23:19,880
Speaker 1: an exceptional student and person, calling her one of the

1771
01:23:19,880 --> 01:23:21,600
Speaker 1: most brilliant students.

1772
01:23:21,479 --> 01:23:23,679
Speaker 4: That he has ever worked with.

1773
01:23:24,600 --> 01:23:26,280
Speaker 1: Cauld put this next piece up on the screen, just

1774
01:23:26,320 --> 01:23:31,160
Speaker 1: about what went down here. We've got how Retz recording that.

1775
01:23:31,240 --> 01:23:35,840
Speaker 1: According to three different eyewitnesses present at that protest, which

1776
01:23:35,880 --> 01:23:39,080
Speaker 1: is a recurring ongoing protest by the way, in the

1777
01:23:39,080 --> 01:23:43,320
Speaker 1: West Bank town of Beta against settlements in the area.

1778
01:23:43,960 --> 01:23:47,040
Speaker 1: The Israeli troops shot her for no reason and there

1779
01:23:47,040 --> 01:23:47,439
Speaker 1: were no.

1780
01:23:47,439 --> 01:23:48,599
Speaker 4: Clashes at the time.

1781
01:23:48,680 --> 01:23:50,840
Speaker 1: The Israeli government is trying to claim that she was

1782
01:23:50,840 --> 01:23:52,559
Speaker 1: throwing rocks, posing some sort of.

1783
01:23:52,640 --> 01:23:54,000
Speaker 4: Risk to soldiers.

1784
01:23:54,600 --> 01:23:59,000
Speaker 1: Multiple eyewitnesses on the scene say that is absolutely false.

1785
01:23:59,479 --> 01:23:59,799
Speaker 4: Quote.

1786
01:24:00,040 --> 01:24:02,639
Speaker 1: We thought that the demonstration was pretty much over because

1787
01:24:02,680 --> 01:24:05,240
Speaker 1: nothing was happening. First we heard a shot and it

1788
01:24:05,320 --> 01:24:08,360
Speaker 1: hit a dumpster that two volunteers were sitting behind, and

1789
01:24:08,439 --> 01:24:11,519
Speaker 1: then there was a shot that hit Asner in the head.

1790
01:24:11,600 --> 01:24:14,680
Speaker 1: The activist said she was not confronting the troops and

1791
01:24:14,720 --> 01:24:17,840
Speaker 1: had not been throwing stones at any point during the protest,

1792
01:24:18,200 --> 01:24:21,839
Speaker 1: and that at the time of the shooting it was calm.

1793
01:24:22,560 --> 01:24:26,280
Speaker 1: Obviously a horrific attack on an American citizen and also

1794
01:24:26,320 --> 01:24:31,080
Speaker 1: has shown a bright light on the disparate reaction between

1795
01:24:31,080 --> 01:24:34,400
Speaker 1: when Israel kills an American citizen has happened in this

1796
01:24:34,520 --> 01:24:38,200
Speaker 1: instance versus when Hamas kills an American citizen, as what

1797
01:24:38,360 --> 01:24:43,080
Speaker 1: happened horrifically with Herscheldberg Poland recently, who was an American

1798
01:24:43,160 --> 01:24:46,360
Speaker 1: Israeli hostage. Let's take a listen to how Tony Blinken

1799
01:24:46,479 --> 01:24:48,040
Speaker 1: responded to a question about this.

1800
01:24:48,280 --> 01:24:51,360
Speaker 13: What's your message for Americans who are concerned that you

1801
01:24:51,439 --> 01:24:54,160
Speaker 13: are providing military aid to a country that is killing

1802
01:24:54,280 --> 01:24:57,360
Speaker 13: US citizens and is there ever a point at which

1803
01:24:57,760 --> 01:25:01,840
Speaker 13: killing up Americans in in that region could lead to

1804
01:25:01,880 --> 01:25:04,200
Speaker 13: a change in US policy of weapons provision?

1805
01:25:05,439 --> 01:25:11,240
Speaker 10: Michael, thank you. First, I just want to understand my

1806
01:25:11,320 --> 01:25:15,280
Speaker 10: deepest condolences, condolences of the United States government to the

1807
01:25:15,280 --> 01:25:22,400
Speaker 10: family of ears Kiyaga. We deplore this tragic laws. Now,

1808
01:25:22,920 --> 01:25:25,360
Speaker 10: the most important thing to do is to gather the facts,

1809
01:25:25,680 --> 01:25:27,400
Speaker 10: and that's exactly what we're in the process of doing.

1810
01:25:28,160 --> 01:25:31,240
Speaker 10: And we are intensely focused on getting those facts, and

1811
01:25:31,800 --> 01:25:34,559
Speaker 10: any actions that we take are driven by the facts.

1812
01:25:34,560 --> 01:25:37,439
Speaker 10: So first things first, let's find out exactly what happened,

1813
01:25:37,880 --> 01:25:41,439
Speaker 10: and we will draw the necessary conclusions consequences from that.

1814
01:25:41,680 --> 01:25:42,639
Speaker 13: As you've heard me say many.

1815
01:25:42,560 --> 01:25:45,599
Speaker 10: Times before, I have no higher priority than the safety

1816
01:25:45,600 --> 01:25:47,519
Speaker 10: and protection of American citizens around the world.

1817
01:25:48,160 --> 01:25:52,519
Speaker 1: So yeah, obviously depends very much on who those people

1818
01:25:52,560 --> 01:25:55,360
Speaker 1: are and who they are injured by or killed by.

1819
01:25:55,840 --> 01:25:58,040
Speaker 1: And you know, I mean, it's a common script at

1820
01:25:58,040 --> 01:26:01,240
Speaker 1: this point, totally predictable, the length which is completely passive.

1821
01:26:01,560 --> 01:26:04,960
Speaker 1: We extend condolences, generally, we deplore this tragic loss, but

1822
01:26:05,000 --> 01:26:07,640
Speaker 1: there's no assignment of blame. We don't really know and

1823
01:26:07,640 --> 01:26:09,479
Speaker 1: then playing dumb, right, this is the thing you hear

1824
01:26:09,520 --> 01:26:11,600
Speaker 1: Matt Miller do at the podium every day. Well, we

1825
01:26:11,640 --> 01:26:14,160
Speaker 1: don't really know what happened to hint, the little girl

1826
01:26:14,160 --> 01:26:16,080
Speaker 1: who was murdered. We don't really know what happened to

1827
01:26:16,200 --> 01:26:17,559
Speaker 1: those aid workers who were killed.

1828
01:26:17,720 --> 01:26:18,680
Speaker 4: We're going to gather for the.

1829
01:26:18,640 --> 01:26:20,559
Speaker 1: Facts and we'll get back to you, or we're asking

1830
01:26:20,680 --> 01:26:23,559
Speaker 1: Israel to do an investigation. And that's exactly what Tony

1831
01:26:23,600 --> 01:26:26,360
Speaker 1: Blinkn does here. Let's gather the facts, let's not rush

1832
01:26:26,400 --> 01:26:30,679
Speaker 1: to judgment when obviously you already have multiple eyewitness accounts.

1833
01:26:30,720 --> 01:26:33,840
Speaker 1: And who else would it be that was firing on

1834
01:26:34,120 --> 01:26:36,519
Speaker 1: this group of protesters in the West Bank.

1835
01:26:36,600 --> 01:26:38,880
Speaker 2: And to be clear, the people who were there, including

1836
01:26:39,000 --> 01:26:43,160
Speaker 2: another Western protester, said that the shooting took place thirty

1837
01:26:43,200 --> 01:26:46,559
Speaker 2: minutes after protesters had dispersed, where there were no active clashes.

1838
01:26:46,800 --> 01:26:50,240
Speaker 2: Foreign volunteers were observing two hundred yards from the Israeli

1839
01:26:50,320 --> 01:26:54,040
Speaker 2: military quote, there was no justification for taking that shot.

1840
01:26:54,120 --> 01:26:56,320
Speaker 2: The only statement right now from the NSC is there

1841
01:26:56,360 --> 01:26:59,400
Speaker 2: quote deeply disturbed by their death and to ask Israel

1842
01:26:59,439 --> 01:27:02,320
Speaker 2: for more in and request an investigation.

1843
01:27:02,040 --> 01:27:03,000
Speaker 3: Into the incident.

1844
01:27:03,040 --> 01:27:06,240
Speaker 2: This is a citizen of the United States who was

1845
01:27:06,280 --> 01:27:11,640
Speaker 2: there protesting Jewish settlement, allegedly aligned with US foreign policy

1846
01:27:11,960 --> 01:27:15,200
Speaker 2: and the State Department, not only US foreign policy of

1847
01:27:15,240 --> 01:27:19,040
Speaker 2: this administration, the US foreign policy of every administration since

1848
01:27:19,080 --> 01:27:19,920
Speaker 2: what at.

1849
01:27:19,880 --> 01:27:22,439
Speaker 3: Very least George W. Bush. So what does that tell us?

1850
01:27:22,600 --> 01:27:25,559
Speaker 2: It's very clear that there is a massive exception here

1851
01:27:25,720 --> 01:27:29,360
Speaker 2: when a US citizen is killed by the IDF. Would

1852
01:27:29,360 --> 01:27:32,200
Speaker 2: we accept this of any other peer nation? That's all

1853
01:27:32,200 --> 01:27:34,519
Speaker 2: I want to know. And I would have just as

1854
01:27:34,560 --> 01:27:37,400
Speaker 2: much outry if France or the UK or any of these.

1855
01:27:37,479 --> 01:27:39,000
Speaker 3: I mean in Turkey. There's a massive.

1856
01:27:38,720 --> 01:27:41,240
Speaker 2: Outrage right now because a US service member was like

1857
01:27:41,360 --> 01:27:44,800
Speaker 2: kidnapped on the streets and beaten up. Yes, there should be.

1858
01:27:45,160 --> 01:27:48,639
Speaker 2: Why is the same level of consternation not there? Well,

1859
01:27:48,680 --> 01:27:51,120
Speaker 2: we know why, because there is always an Israel exception

1860
01:27:51,400 --> 01:27:52,439
Speaker 2: to US foreign policy.

1861
01:27:52,600 --> 01:27:53,280
Speaker 3: And it's maddening.

1862
01:27:53,360 --> 01:27:57,760
Speaker 1: And Aisner was a Turkish American citizen. And actually the

1863
01:27:57,800 --> 01:28:01,679
Speaker 1: government of Turkey put on a far moar forceful statement

1864
01:28:01,760 --> 01:28:05,960
Speaker 1: and we're far more outraged at the murder of one

1865
01:28:06,000 --> 01:28:09,479
Speaker 1: of their citizens. Put D four up on the screen

1866
01:28:09,560 --> 01:28:13,160
Speaker 1: so we can see side by side the difference in reaction,

1867
01:28:13,240 --> 01:28:18,200
Speaker 1: because you're so right. Immediately after Hirsch Goldberg Poland is murdered,

1868
01:28:18,560 --> 01:28:22,360
Speaker 1: there was statements from every politicians. Joe Biden puts out

1869
01:28:22,400 --> 01:28:24,880
Speaker 1: a state mccambala Harris puts down a statement. You know,

1870
01:28:25,000 --> 01:28:28,160
Speaker 1: everybody felt the need to react, and they should because

1871
01:28:28,200 --> 01:28:28,920
Speaker 1: it's a horror.

1872
01:28:29,720 --> 01:28:30,680
Speaker 4: All I'm asking is.

1873
01:28:30,640 --> 01:28:34,280
Speaker 1: That all people be treated with the same level of

1874
01:28:34,360 --> 01:28:37,599
Speaker 1: care and attention. So State Department spokes versus Matthew Miller

1875
01:28:38,000 --> 01:28:41,800
Speaker 1: on this protester Aisner, who was murdered by the AIDF.

1876
01:28:41,800 --> 01:28:45,120
Speaker 4: He says, we are aware of the tragic death. Just death.

1877
01:28:45,240 --> 01:28:47,599
Speaker 1: She wasn't killed, just death of an American citizen today

1878
01:28:47,640 --> 01:28:50,040
Speaker 1: in the West Bank. We offer our deepest condolences to

1879
01:28:50,080 --> 01:28:53,280
Speaker 1: your family and loved ones. We're urgently gathering more information

1880
01:28:53,479 --> 01:28:56,560
Speaker 1: about the circumstances of her death since she apparently just

1881
01:28:56,640 --> 01:28:58,880
Speaker 1: magically collapsed, and we'll have more to say as we

1882
01:28:59,000 --> 01:28:59,400
Speaker 1: learn more.

1883
01:28:59,439 --> 01:29:01,679
Speaker 4: We have no high priority than the safety and security

1884
01:29:01,680 --> 01:29:03,640
Speaker 4: of American citizens. Bullshit.

1885
01:29:03,960 --> 01:29:06,480
Speaker 1: Then, on the other side, you can see Biden reacting

1886
01:29:06,640 --> 01:29:10,240
Speaker 1: to the murder of Hirsh. He says, I'm devastating in outrage.

1887
01:29:10,360 --> 01:29:13,000
Speaker 1: Hirsh was among the innocence brutally attacked while attending a

1888
01:29:13,040 --> 01:29:15,960
Speaker 1: music festival for peace in Israel in October seventh. Make

1889
01:29:16,040 --> 01:29:19,559
Speaker 1: no mistake, Hamas leaders will pay for these crimes, and

1890
01:29:19,600 --> 01:29:21,559
Speaker 1: we will keep working around the clock for a deal

1891
01:29:21,600 --> 01:29:25,040
Speaker 1: to secure the release of the remaining hostages. You can

1892
01:29:25,080 --> 01:29:28,200
Speaker 1: see the outrage, you can see the visceral language, you

1893
01:29:28,200 --> 01:29:31,719
Speaker 1: can see the assignment of responsibility and a call for justice.

1894
01:29:32,120 --> 01:29:34,320
Speaker 4: All of that is present when it was.

1895
01:29:34,439 --> 01:29:38,720
Speaker 1: Hirsh, a hostage who was murdered apparently by Hamas, versus

1896
01:29:38,840 --> 01:29:42,000
Speaker 1: in this situation, when you have an American citizen murdered

1897
01:29:42,080 --> 01:29:45,160
Speaker 1: by the IDF. I mean again, I'm sure no one

1898
01:29:45,200 --> 01:29:48,440
Speaker 1: listening to this is surprised, but it still is absolutely

1899
01:29:48,520 --> 01:29:52,839
Speaker 1: galling to see the way that different lives are counted

1900
01:29:52,880 --> 01:29:56,880
Speaker 1: and treated completely differently, even when both of those lives

1901
01:29:56,920 --> 01:29:57,960
Speaker 1: are Americans.

1902
01:29:58,080 --> 01:30:01,040
Speaker 2: Yeah, and that's personally what just bothers me the most

1903
01:30:01,040 --> 01:30:03,120
Speaker 2: about it is I just think I was, like, we

1904
01:30:03,320 --> 01:30:06,160
Speaker 2: just treat them like any other country in the world.

1905
01:30:06,520 --> 01:30:08,800
Speaker 3: That's it. I don't know why that's so much to ask.

1906
01:30:09,120 --> 01:30:13,880
Speaker 2: If any allied nation murdered a US citizen, then we

1907
01:30:13,960 --> 01:30:18,439
Speaker 2: would immediately ask and demand a real investigation, and there

1908
01:30:18,479 --> 01:30:20,519
Speaker 2: would be outcry here in America.

1909
01:30:20,960 --> 01:30:21,680
Speaker 3: Uh and you know.

1910
01:30:21,680 --> 01:30:26,360
Speaker 2: Hers Goldberg Poland. Again, his murder is not just a tragedy,

1911
01:30:26,439 --> 01:30:29,320
Speaker 2: it is a crime. It is horrible, and that Americans

1912
01:30:29,720 --> 01:30:33,280
Speaker 2: rightfully resonate whenever he is murdered. But then on this

1913
01:30:33,439 --> 01:30:37,200
Speaker 2: are they even told by anyone that this happened? Yeah, no,

1914
01:30:37,640 --> 01:30:40,280
Speaker 2: I mean, and that is that is why it is

1915
01:30:40,360 --> 01:30:44,160
Speaker 2: an outrage about that, that double standard. Yes here, and

1916
01:30:44,200 --> 01:30:46,000
Speaker 2: you know, by the way, in both cases, they're both

1917
01:30:46,479 --> 01:30:47,960
Speaker 2: I even saw people were attacking her.

1918
01:30:48,000 --> 01:30:49,400
Speaker 3: They're like, well, she was a dual citizen.

1919
01:30:49,520 --> 01:30:51,960
Speaker 2: You want some news about mister Goldberg Poland, he was

1920
01:30:51,960 --> 01:30:53,479
Speaker 2: a du citizen too.

1921
01:30:53,760 --> 01:30:56,360
Speaker 3: That doesn't diminish his an American citizenship.

1922
01:30:55,840 --> 01:30:59,000
Speaker 4: Humanity, yeah, or he's humanity. Yeah, that's that's exactly right.

1923
01:30:59,120 --> 01:31:01,679
Speaker 1: And look and and there's also a deeper level here,

1924
01:31:01,720 --> 01:31:04,519
Speaker 1: which is the reason that Hirsh is dead and the

1925
01:31:04,600 --> 01:31:07,880
Speaker 1: reason that Asner is dead is because of a failure

1926
01:31:07,880 --> 01:31:10,639
Speaker 1: of Biden administration policy. Like, yes, the people who fired

1927
01:31:10,680 --> 01:31:15,240
Speaker 1: the bullets, of course they bear responsibility, Yes, bb NA, Yahoo, Yes, yeah, yes,

1928
01:31:15,320 --> 01:31:19,040
Speaker 1: and WIR. However, the only reason we are still in

1929
01:31:19,080 --> 01:31:21,400
Speaker 1: this place is because the American procedt has failed to

1930
01:31:21,479 --> 01:31:24,160
Speaker 1: change course, has failed to act, has failed to secure

1931
01:31:24,400 --> 01:31:28,439
Speaker 1: the end of this horror. Both of these individuals could

1932
01:31:28,439 --> 01:31:31,000
Speaker 1: be live. And don't ask me, Ask the family of

1933
01:31:31,080 --> 01:31:34,639
Speaker 1: hirsh Ye, Ask the hostage families, Ask the former hostages

1934
01:31:34,680 --> 01:31:37,439
Speaker 1: who were released, who are all out there protesting the

1935
01:31:37,479 --> 01:31:40,880
Speaker 1: streets saying this has to end. The only way we

1936
01:31:40,960 --> 01:31:44,240
Speaker 1: bring any of the remaining hostages home safe and sound

1937
01:31:44,640 --> 01:31:48,439
Speaker 1: is if we actually end this war. And right now,

1938
01:31:48,520 --> 01:31:52,600
Speaker 1: there's this reportedly debate going on in the Biden administration

1939
01:31:52,800 --> 01:31:56,280
Speaker 1: over whether they're even going to continue to try their

1940
01:31:56,400 --> 01:32:01,519
Speaker 1: like weak, pathetic, impotent attempts to gain a ceasefire deal.

1941
01:32:01,680 --> 01:32:04,840
Speaker 1: And it's just crazy making to me because I'm looking

1942
01:32:04,880 --> 01:32:07,120
Speaker 1: Apparently Biden is like, no, we're still gonna try. We're

1943
01:32:07,160 --> 01:32:10,120
Speaker 1: gonna put forward another ceasefire proposal, We're gonna keep negotiating.

1944
01:32:10,400 --> 01:32:12,439
Speaker 1: Other aids are like, bb doesn't want a deal, so

1945
01:32:12,479 --> 01:32:15,400
Speaker 1: it's not gonna happen. They're correct about that, but both

1946
01:32:15,400 --> 01:32:17,800
Speaker 1: of them miss the bigger point. All you have to

1947
01:32:17,840 --> 01:32:20,559
Speaker 1: do is stop shipping the bombs. All you have to

1948
01:32:20,600 --> 01:32:23,920
Speaker 1: do is actually force that, like, no, we're done negotiating.

1949
01:32:24,200 --> 01:32:28,080
Speaker 1: This is ending now today. We're making it happen. And

1950
01:32:28,720 --> 01:32:30,880
Speaker 1: if you don't believe the United States of America has

1951
01:32:30,880 --> 01:32:34,320
Speaker 1: the ability to do that, look at usraelly military analysts

1952
01:32:34,360 --> 01:32:36,920
Speaker 1: who say Israel will be nowhere in this war without

1953
01:32:36,960 --> 01:32:41,360
Speaker 1: the massive, multiple, repeated shipments of weapons that we have

1954
01:32:41,520 --> 01:32:45,760
Speaker 1: provided to enable this slaughter to continue. So it's very

1955
01:32:46,000 --> 01:32:49,160
Speaker 1: this is not hard to figure out, just stop shipping

1956
01:32:49,160 --> 01:32:53,320
Speaker 1: the bombs, but that apparently is just too out there,

1957
01:32:53,479 --> 01:32:57,280
Speaker 1: too far off the table. They would rather risk, you know,

1958
01:32:57,320 --> 01:33:00,559
Speaker 1: the lives of American citizens. They would rather risk, certainly

1959
01:33:00,640 --> 01:33:03,320
Speaker 1: the lives of every Palestinian in Gaza and now the

1960
01:33:03,360 --> 01:33:06,200
Speaker 1: West Bank as well. They would rather risk Kamala Harris

1961
01:33:06,240 --> 01:33:08,840
Speaker 1: getting elected President of the United States and or Donald

1962
01:33:08,840 --> 01:33:11,559
Speaker 1: Trump getting back in the White House than actually following

1963
01:33:11,640 --> 01:33:14,840
Speaker 1: international law, following our own law, and securing an end

1964
01:33:15,040 --> 01:33:16,519
Speaker 1: to this immediate horror.

1965
01:33:16,560 --> 01:33:19,680
Speaker 4: So just just another it's just an utter tragedy.

1966
01:33:19,400 --> 01:33:21,840
Speaker 2: The same you know, we just keep on going in

1967
01:33:21,880 --> 01:33:24,080
Speaker 2: the same direction. That's right, there's no change anyway.

1968
01:33:24,120 --> 01:33:24,760
Speaker 3: Whatever. We got a.

1969
01:33:24,720 --> 01:33:27,080
Speaker 2: Congressman standing by Rocanna talk about some of this in

1970
01:33:27,120 --> 01:33:27,720
Speaker 2: a little bit more.

1971
01:33:27,840 --> 01:33:28,479
Speaker 3: Let's get to it.

1972
01:33:31,360 --> 01:33:33,719
Speaker 4: I were very fortunate he joined in studio this morning

1973
01:33:33,720 --> 01:33:35,360
Speaker 4: by Conerson Rocanna of California.

1974
01:33:35,400 --> 01:33:37,120
Speaker 8: Great to see you, Sir, was great coming in.

1975
01:33:37,560 --> 01:33:40,639
Speaker 1: So we now have an issues page on the Kamala

1976
01:33:40,640 --> 01:33:43,800
Speaker 1: Harris for President website, and we took particular note of

1977
01:33:43,800 --> 01:33:45,920
Speaker 1: her language with regard to Israel and Gazilla's go and

1978
01:33:45,920 --> 01:33:47,280
Speaker 1: put this up on the screen so I can get

1979
01:33:47,320 --> 01:33:49,519
Speaker 1: your reaction to it, she writes here, and this is

1980
01:33:49,520 --> 01:33:51,679
Speaker 1: the entirety of it. By the way, Vice President Harris

1981
01:33:51,720 --> 01:33:54,160
Speaker 1: will never hesitate to take whatever action is necessary to

1982
01:33:54,200 --> 01:33:57,800
Speaker 1: protect US forces and interests from Iran and Iran backed

1983
01:33:57,880 --> 01:34:00,920
Speaker 1: terrorist groups. Vice President Harris will we stand up for

1984
01:34:01,000 --> 01:34:03,479
Speaker 1: Israel's right to defend itself, and she will always ensure

1985
01:34:03,600 --> 01:34:04,240
Speaker 1: Israel has.

1986
01:34:04,080 --> 01:34:05,559
Speaker 4: The ability to defend itself.

1987
01:34:05,880 --> 01:34:08,200
Speaker 1: She and President Biden are working to end the war

1988
01:34:08,280 --> 01:34:11,160
Speaker 1: in Gaza such that Israel is secure, the hostages are released,

1989
01:34:11,200 --> 01:34:13,920
Speaker 1: the suffering in Gaza ends, and the pal stating people

1990
01:34:13,960 --> 01:34:17,040
Speaker 1: can realize their right to dignity, security, freedom.

1991
01:34:16,720 --> 01:34:17,680
Speaker 4: And self determination.

1992
01:34:18,160 --> 01:34:20,960
Speaker 1: She and President Biden are working around the clock to

1993
01:34:20,960 --> 01:34:23,280
Speaker 1: get a hostage deal and a ceasefire deal.

1994
01:34:23,560 --> 01:34:26,280
Speaker 4: Done your thoughts on her language here.

1995
01:34:26,520 --> 01:34:28,720
Speaker 8: That's basically what she said at the convention. But the

1996
01:34:28,800 --> 01:34:33,519
Speaker 8: question is how I mean everyone wants the violence to end,

1997
01:34:33,560 --> 01:34:36,200
Speaker 8: the suffering to hand, the hostages to be released. The

1998
01:34:36,240 --> 01:34:39,799
Speaker 8: reality is you not only have to pressure Hamas obviously

1999
01:34:39,800 --> 01:34:42,240
Speaker 8: you have to pressure them to release hostages. You also

2000
01:34:42,280 --> 01:34:45,280
Speaker 8: have to hold net Yahuo accountable because they say, oh,

2001
01:34:45,320 --> 01:34:48,200
Speaker 8: we're making progress. Every two weeks, we're close to a

2002
01:34:48,280 --> 01:34:50,800
Speaker 8: ceasefire deal, and Netya who the next morning, goes in

2003
01:34:50,960 --> 01:34:54,000
Speaker 8: Fox and Friends and says, no, this is all a lie.

2004
01:34:54,120 --> 01:34:57,120
Speaker 8: There's no deal. We're not making progress. And until you

2005
01:34:57,200 --> 01:35:01,519
Speaker 8: have net Nyahuo knowing that it's at some point he's

2006
01:35:01,600 --> 01:35:04,320
Speaker 8: going to be held accountable, just like Amas is, you're

2007
01:35:04,360 --> 01:35:06,080
Speaker 8: not going to get any deal. And by the way,

2008
01:35:06,320 --> 01:35:09,200
Speaker 8: these really people want that. So many of the hostage

2009
01:35:09,200 --> 01:35:10,800
Speaker 8: families want that. Delant wants that.

2010
01:35:11,040 --> 01:35:12,400
Speaker 1: So let me let me ask you a little bit

2011
01:35:12,439 --> 01:35:14,320
Speaker 1: more about this. I don't know if you've seen these reports,

2012
01:35:14,320 --> 01:35:15,680
Speaker 1: and I don't know if they're true or not, but

2013
01:35:15,720 --> 01:35:17,880
Speaker 1: there's apparently a debate going on in the White House

2014
01:35:17,920 --> 01:35:20,040
Speaker 1: right now between President Biden and some of his top

2015
01:35:20,080 --> 01:35:22,519
Speaker 1: advisors about whether they even continue trying to get a

2016
01:35:22,560 --> 01:35:23,599
Speaker 1: ceasefire deal.

2017
01:35:23,800 --> 01:35:25,320
Speaker 4: And I just look at it.

2018
01:35:25,439 --> 01:35:27,519
Speaker 1: They keep doing the same thing over and over again,

2019
01:35:27,600 --> 01:35:30,120
Speaker 1: of come on, guys, let's get a deal, but being

2020
01:35:30,160 --> 01:35:34,240
Speaker 1: completely unwilling to use the incredible leverage that the American

2021
01:35:34,280 --> 01:35:37,760
Speaker 1: government has. If we stop shipping the bombs, then Netnahu

2022
01:35:37,880 --> 01:35:39,800
Speaker 1: is going to be not only under pressure, he's going

2023
01:35:39,800 --> 01:35:44,639
Speaker 1: to be forced to end the incredible horrific onslaught in Gaza.

2024
01:35:44,880 --> 01:35:48,720
Speaker 1: So you know, why is this just considered so completely

2025
01:35:48,800 --> 01:35:52,400
Speaker 1: off the table? And also one of the lines that

2026
01:35:52,400 --> 01:35:54,920
Speaker 1: I've heard to rationalize Kama Harris's response here, unless you

2027
01:35:54,920 --> 01:35:57,000
Speaker 1: can't really distance herself from President Biden, I don't know

2028
01:35:57,040 --> 01:36:00,240
Speaker 1: if I agree with that, because, if anything, right now

2029
01:36:00,000 --> 01:36:03,280
Speaker 1: now she needs a little armlength separation from him. Can't

2030
01:36:03,280 --> 01:36:06,040
Speaker 1: she stake down a different position here and indicate how

2031
01:36:06,160 --> 01:36:08,640
Speaker 1: she would have approached this in a different way that

2032
01:36:08,680 --> 01:36:10,920
Speaker 1: would have ended with a less disastrous result than what

2033
01:36:10,920 --> 01:36:11,360
Speaker 1: we've seen.

2034
01:36:11,760 --> 01:36:14,519
Speaker 8: Of course she can distance. I mean, Hubert Humphrey's distanced

2035
01:36:14,600 --> 01:36:19,320
Speaker 8: himself from Linda Johnson with the Vietnam War, and Humphrey,

2036
01:36:19,360 --> 01:36:21,960
Speaker 8: had he done it earlier, probably would have won that election.

2037
01:36:22,080 --> 01:36:25,520
Speaker 8: He waited too long. The other thing is if Harris

2038
01:36:26,120 --> 01:36:28,439
Speaker 8: were at a distance in any way, it would actually

2039
01:36:28,520 --> 01:36:32,320
Speaker 8: drive administration policy because she has right now, in my view,

2040
01:36:32,360 --> 01:36:35,360
Speaker 8: more power than Biden. I mean, she's the nominee. She

2041
01:36:35,439 --> 01:36:38,640
Speaker 8: has more say on the direction of the party, and

2042
01:36:38,720 --> 01:36:42,840
Speaker 8: so I think she would actually influence it. The reality is, Look,

2043
01:36:42,880 --> 01:36:45,160
Speaker 8: there were thirty seven Democrats, and we got so much

2044
01:36:45,240 --> 01:36:48,080
Speaker 8: criticism when we said, don't give a blank check to

2045
01:36:48,160 --> 01:36:51,720
Speaker 8: Neetnyah who We're not going to vote for this offensive

2046
01:36:51,760 --> 01:36:54,840
Speaker 8: weapon ade. And all the United States has to do

2047
01:36:54,920 --> 01:36:57,320
Speaker 8: as a starter is to enforce her own laws, to

2048
01:36:57,439 --> 01:37:01,880
Speaker 8: enforce the security assistance laws, to enforce Leahy. President Reagan

2049
01:37:01,920 --> 01:37:04,360
Speaker 8: did this in nineteen eighty two when there was the

2050
01:37:04,400 --> 01:37:07,960
Speaker 8: bombing in Lebanon, and he called Bannock and began and

2051
01:37:08,000 --> 01:37:11,840
Speaker 8: he said enough and they listened. So this is his

2052
01:37:11,840 --> 01:37:15,840
Speaker 8: historical president with Republican and Democratic presidents, and it has

2053
01:37:15,880 --> 01:37:18,439
Speaker 8: nothing to do with being pro Israel or not. This

2054
01:37:18,600 --> 01:37:22,880
Speaker 8: is actually good for the security of Israel, as many

2055
01:37:22,920 --> 01:37:25,679
Speaker 8: people in Israel themselves are saying, and for the release

2056
01:37:25,680 --> 01:37:26,440
Speaker 8: of the hostages.

2057
01:37:26,600 --> 01:37:29,120
Speaker 2: Let me ask you then about that distancing from Biden.

2058
01:37:29,280 --> 01:37:31,080
Speaker 2: We talked a lot here on the show this New

2059
01:37:31,160 --> 01:37:34,240
Speaker 2: York Times poll obviously causing a lot of consternation amongst Democrats.

2060
01:37:34,280 --> 01:37:36,000
Speaker 3: I would like your reaction to that, and.

2061
01:37:35,920 --> 01:37:39,479
Speaker 2: Also how you would give her advice to perform on

2062
01:37:39,520 --> 01:37:40,639
Speaker 2: the debate stage tomorrow.

2063
01:37:41,760 --> 01:37:43,679
Speaker 8: Well, I think we've got to be out there more.

2064
01:37:43,840 --> 01:37:46,280
Speaker 8: Go on podcasts. I mean, I'd love the Vice president

2065
01:37:46,400 --> 01:37:48,439
Speaker 8: come on this show, or have Kim Waltz here or

2066
01:37:49,000 --> 01:37:52,920
Speaker 8: other surrogates go on all of the different media. Make

2067
01:37:53,000 --> 01:37:55,880
Speaker 8: your case. You know, the presidency is the most important

2068
01:37:55,960 --> 01:37:57,840
Speaker 8: job in the world and the hardest job to get.

2069
01:37:58,320 --> 01:38:01,559
Speaker 8: I don't think you get it playing are being cautious.

2070
01:38:01,600 --> 01:38:04,840
Speaker 8: You've got to go out and fight for it, and

2071
01:38:04,880 --> 01:38:08,280
Speaker 8: that I'm hopeful after the debate the Vice President will

2072
01:38:08,280 --> 01:38:11,000
Speaker 8: do that because she's very capable. I've known her for

2073
01:38:11,040 --> 01:38:14,559
Speaker 8: twenty years. She's very, very intelligent, and for some reason

2074
01:38:14,640 --> 01:38:17,400
Speaker 8: she's surrounded herself with people who said, don't be out there.

2075
01:38:17,439 --> 01:38:19,280
Speaker 8: I don't think that's the right advice.

2076
01:38:19,320 --> 01:38:21,280
Speaker 2: Do you think that's because she's inherit A lot of

2077
01:38:21,320 --> 01:38:24,160
Speaker 2: President Biden's staff like what do As you said, clearly,

2078
01:38:24,200 --> 01:38:26,599
Speaker 2: I would hope she's asking people who are you know,

2079
01:38:26,800 --> 01:38:30,000
Speaker 2: have different opinions. Is she largely listening to the Biden staff?

2080
01:38:30,040 --> 01:38:33,479
Speaker 2: Is she soliciting newer voices, opinions and others? How what's

2081
01:38:33,479 --> 01:38:34,720
Speaker 2: your experience been like that with that?

2082
01:38:35,080 --> 01:38:37,080
Speaker 8: Well, giving her the benefit of down, maybe they were

2083
01:38:37,120 --> 01:38:39,559
Speaker 8: trying to figure out where she pivots and where she

2084
01:38:40,000 --> 01:38:42,840
Speaker 8: keeps the policies, and maybe it took about a month

2085
01:38:42,880 --> 01:38:45,000
Speaker 8: to figure that out. And I understand it's not easy

2086
01:38:45,280 --> 01:38:48,519
Speaker 8: running a presidential campaign from ground zero, but she's now

2087
01:38:48,600 --> 01:38:50,960
Speaker 8: done that, she has a policy page, she's going to debate.

2088
01:38:51,200 --> 01:38:53,200
Speaker 8: So now's the time I think to make it clear.

2089
01:38:53,280 --> 01:38:55,599
Speaker 8: Here's where I stand. Here's where I would be different

2090
01:38:55,640 --> 01:39:01,519
Speaker 8: from President Biden on the economy, on immigration, on foreign policy.

2091
01:39:01,640 --> 01:39:04,400
Speaker 8: Here's where I want to continue what he's doing. And

2092
01:39:05,240 --> 01:39:06,880
Speaker 8: it should be very clear to folks. I mean, she

2093
01:39:07,080 --> 01:39:09,479
Speaker 8: was to be the change candidate, and she is changed

2094
01:39:09,520 --> 01:39:11,800
Speaker 8: in many ways in terms of her life story, in

2095
01:39:11,880 --> 01:39:14,200
Speaker 8: terms of who she is. But people also want to

2096
01:39:14,320 --> 01:39:17,439
Speaker 8: change in policy, and that's where she needs to be clear.

2097
01:39:17,600 --> 01:39:20,000
Speaker 8: Here are the changes that we're going to have on

2098
01:39:20,120 --> 01:39:21,479
Speaker 8: economic and foreign policy.

2099
01:39:21,840 --> 01:39:24,680
Speaker 1: So I understand you are a bit opposed to the

2100
01:39:24,720 --> 01:39:28,960
Speaker 1: weird language, a weird attack on Trump and vance I

2101
01:39:29,000 --> 01:39:32,000
Speaker 1: personally have been a supporter of the weird attack because

2102
01:39:32,080 --> 01:39:35,120
Speaker 1: I feel like some of the previous attempts to define him,

2103
01:39:35,160 --> 01:39:39,560
Speaker 1: like the Biden style is very grandiose, it's very moralizing,

2104
01:39:39,800 --> 01:39:42,439
Speaker 1: threat to democracy, et cetera, et cetera, and it almost

2105
01:39:42,439 --> 01:39:46,160
Speaker 1: makes him bigger than he really is, whereas the weird

2106
01:39:46,280 --> 01:39:47,800
Speaker 1: like these guys are just kind of a bunch of

2107
01:39:47,840 --> 01:39:50,320
Speaker 1: weird freaks, is very diminishing in a way that has

2108
01:39:50,360 --> 01:39:53,080
Speaker 1: clearly driven both him and Jane Vance crazy. But tell

2109
01:39:53,160 --> 01:39:56,040
Speaker 1: me about your analysis of this, both from like a

2110
01:39:56,120 --> 01:39:58,920
Speaker 1: moral and a political perspective. Why you don't think that

2111
01:39:58,920 --> 01:40:00,719
Speaker 1: that language and that framing the right direction.

2112
01:40:01,000 --> 01:40:03,599
Speaker 8: Sure well, look I like the framing that best President

2113
01:40:03,600 --> 01:40:07,919
Speaker 8: Harrison had of He's unserious, he's frivolous, He's not taking

2114
01:40:09,160 --> 01:40:11,439
Speaker 8: the weight of what it means to be president seriously.

2115
01:40:11,920 --> 01:40:15,240
Speaker 8: When you call someone where the risk is that voters

2116
01:40:15,280 --> 01:40:17,559
Speaker 8: may hear that, not just that, oh you're saying that

2117
01:40:17,640 --> 01:40:20,280
Speaker 8: about Donald Trump or jd Evans, that you're saying that

2118
01:40:20,360 --> 01:40:23,439
Speaker 8: about their supporters. And that's forty five, forty six, forty

2119
01:40:23,479 --> 01:40:25,880
Speaker 8: seven percent of the country. Now, I don't think it's

2120
01:40:25,920 --> 01:40:29,000
Speaker 8: like deplorables, but there's a fine line. And what we

2121
01:40:29,080 --> 01:40:31,599
Speaker 8: need to do, in my view, is respect the people

2122
01:40:31,640 --> 01:40:35,200
Speaker 8: who are voting for Donald Trump or Jdvans and say

2123
01:40:35,200 --> 01:40:37,639
Speaker 8: we've got a better vision. We've got a better vision

2124
01:40:37,680 --> 01:40:39,400
Speaker 8: of how to get new factories. We've got a better

2125
01:40:39,479 --> 01:40:41,640
Speaker 8: vision of how to help the working class with a

2126
01:40:41,680 --> 01:40:44,160
Speaker 8: living wage. We've got a better vision of had a

2127
01:40:44,200 --> 01:40:46,920
Speaker 8: lower prescription drug cost. We've got a better vision of

2128
01:40:46,960 --> 01:40:49,600
Speaker 8: how to strengthen America in a modern economy and in

2129
01:40:49,600 --> 01:40:53,240
Speaker 8: a modern world. And I guess I'm old fashioned that way.

2130
01:40:53,760 --> 01:40:57,400
Speaker 8: I still think you can persuade people and win, and

2131
01:40:57,840 --> 01:41:02,320
Speaker 8: you can attack them for not being serious, but don't

2132
01:41:02,400 --> 01:41:05,800
Speaker 8: convey the voters that somehow they're not part of the

2133
01:41:05,840 --> 01:41:06,719
Speaker 8: American story.

2134
01:41:06,840 --> 01:41:07,120
Speaker 3: Yeah.

2135
01:41:07,280 --> 01:41:10,280
Speaker 2: Interesting, we were talking a little bit about men, David Hogg.

2136
01:41:10,400 --> 01:41:12,800
Speaker 2: We were saying put out an interesting tweet today about

2137
01:41:12,800 --> 01:41:16,519
Speaker 2: how young men specifically, but males both Latino black largely

2138
01:41:16,640 --> 01:41:19,600
Speaker 2: are the margins that are driving both towards Trump or

2139
01:41:19,640 --> 01:41:21,719
Speaker 2: at the very least away from Kamala Harris.

2140
01:41:21,800 --> 01:41:23,599
Speaker 3: Number one, why do you think that is? And then

2141
01:41:23,640 --> 01:41:25,000
Speaker 3: what would your general.

2142
01:41:24,720 --> 01:41:27,600
Speaker 2: Advice be outside of just do podcasts or something in

2143
01:41:27,720 --> 01:41:29,240
Speaker 2: order to actually reach some of these people.

2144
01:41:29,920 --> 01:41:31,840
Speaker 8: Yeah, well, there are a lot of reasons that I

2145
01:41:31,840 --> 01:41:33,840
Speaker 8: certainly don't have the definitive answer. As a start, I

2146
01:41:33,840 --> 01:41:35,920
Speaker 8: would have Bernie out there more. I mean, Bernie did

2147
01:41:36,040 --> 01:41:40,040
Speaker 8: very very well with young men. I mean unfairly he

2148
01:41:40,120 --> 01:41:42,439
Speaker 8: was called the bro candidate, but he had a lot

2149
01:41:42,479 --> 01:41:44,720
Speaker 8: of young men who were supporting him. And I think

2150
01:41:44,720 --> 01:41:47,599
Speaker 8: that there's an anger at the system in a sense

2151
01:41:47,640 --> 01:41:52,639
Speaker 8: of wanting some bold ideas and if we can convey

2152
01:41:53,120 --> 01:41:55,960
Speaker 8: that we have a way of reforming the system that

2153
01:41:56,240 --> 01:41:59,240
Speaker 8: people need more opportunities for wealth generation. I don't think

2154
01:41:59,240 --> 01:42:02,400
Speaker 8: we should be against bitcoin or crypto. That's an issue

2155
01:42:02,400 --> 01:42:04,800
Speaker 8: for a lot of young people. I think we need

2156
01:42:04,840 --> 01:42:07,639
Speaker 8: to show we're a party for free speech, but we're

2157
01:42:07,640 --> 01:42:09,479
Speaker 8: a party that's listening to them and as a place

2158
01:42:09,520 --> 01:42:11,880
Speaker 8: for them. I do think going on these podcasts and

2159
01:42:11,920 --> 01:42:14,880
Speaker 8: trying to reach them is important.

2160
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Speaker 4: Yeah, we would like her to do that as well.

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Speaker 3: Makes you put in a word.

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Speaker 1: You know, many Democrats believe that Donald Trump is not

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01:42:22,560 --> 01:42:25,320
Speaker 1: only a great threat to the country, which I agree with,

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01:42:25,400 --> 01:42:27,599
Speaker 1: that he's one of the worst presidents in history. And

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Speaker 1: yet you know, you look at the New York Times

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01:42:29,200 --> 01:42:32,800
Speaker 1: poll and it's tied Collyer's actually in that poll, within

2167
01:42:32,840 --> 01:42:36,320
Speaker 1: the margin of Er losing by a point. Why, in

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Speaker 1: your assessment is it so so close?

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Speaker 8: Because the American dream has slipped away for so many people.

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Speaker 8: They've seen their healthcare costs rise, childcare costs rise, college

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01:42:49,560 --> 01:42:53,559
Speaker 8: costs rise, vocational education rise, jobs no longer paying thirty

2172
01:42:53,560 --> 01:42:56,800
Speaker 8: five dollars an hour, massive de industrialization. This has been

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01:42:56,840 --> 01:43:00,240
Speaker 8: going on for fifty years. And to think that three

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Speaker 8: and a half years of Biden was going to reverse

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01:43:02,560 --> 01:43:04,960
Speaker 8: that was impossible. No one could have reversed it. But

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Speaker 8: people are still frustrated. They're angry, and they see the

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Speaker 8: role of big money in politics, of lobbyists, and they

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Speaker 8: see an establishment that has let them down, in an

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Speaker 8: establishment that has gotten us in too many wars. So

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Speaker 8: they want change. They've been voting for change since Barack

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01:43:18,400 --> 01:43:21,840
Speaker 8: Obama and they haven't been getting the change they want.

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Speaker 8: And I don't think people are thinking of it with

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Speaker 8: more depth than that, other than this system isn't working

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01:43:28,360 --> 01:43:31,080
Speaker 8: for us, our kids aren't going to have a great future.

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Speaker 8: Let's try something else.

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Speaker 3: Yeah, I think you're absolutely right on that. Anything else, Crystal,

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01:43:35,520 --> 01:43:36,280
Speaker 3: I think that's that comes.

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Speaker 4: We're always so grateful for your thank you, thank you

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01:43:38,200 --> 01:43:38,519
Speaker 4: for coming.

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Speaker 2: Sure joyed it all right, guys, thank you so much

2191
01:43:40,360 --> 01:43:43,679
Speaker 2: for watching. Reminder, we will be live tomorrow for the debates,

2192
01:43:43,680 --> 01:43:45,839
Speaker 2: so there won't beach any show in the morning AMA

2193
01:43:46,080 --> 01:43:49,760
Speaker 2: during that debate. Stream from premio subscribers Breakingpoints dot com

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01:43:49,840 --> 01:43:55,520
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