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

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

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

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

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

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Speaker 3: Coverage that is possible.

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

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Speaker 2: the absolute world to have your support. But enough with that,

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

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Speaker 2: We have an amazing show for everybody today. What do

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Speaker 2: we have Crystal and Dan.

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Speaker 1: We do a bunch of new polls, including a new

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Speaker 1: yon one out from the New York Times, which is

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Speaker 1: like shows a totally different picture than the ones that

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Speaker 1: we're on. Yesterday from NBC News, we got a Nate

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Speaker 1: Silver Election model update, so we'll get into all of that.

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Speaker 1: We also have some Oprah clips from the big Kamala

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Speaker 1: Oprah moment that we wanted to share with you all.

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Speaker 1: Want to discuss what that did for her campaign if anything.

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Speaker 1: Also some news on whether or not Kamala and Trump

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Speaker 1: are going to debate again. She says yes, He says

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Speaker 1: probably not. So that's where things stand. Bunjo oal sex

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Speaker 1: scandals that we got to talk to you about this morning.

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Speaker 1: We'll just is the North Carolina are okay, top reporter here.

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Speaker 4: In d C.

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Speaker 1: So a lot of interesting things that went down this weekend,

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Speaker 1: and on a much much more serious note, basically horror

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Speaker 1: in the Middle East as Israel prepares to turn Lebanon

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Speaker 1: into Gaza, very much projecting that that's the direction that

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Speaker 1: they're going in. So you know, something that has been

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Speaker 1: feared and foreshadowed for many, many months, and yet the

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Speaker 1: US administration has done absolutely nothing to block that dimensuality

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Speaker 1: that we have now arrived at. So a lot to

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Speaker 1: talk about this morning.

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Speaker 3: Yes, that's right.

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Speaker 2: Before we get to that, we are announcing some special

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Speaker 2: stuff here. We from now on till election Day are

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Speaker 2: going to be doing some exclusive election content for our

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Speaker 2: premium subscribers. It's going to be first available on locals

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Speaker 2: and everywhere else our premiums get that content. So, for example,

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Speaker 2: today we're going to be having any exclusive conversation with

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Speaker 2: a forecaster, give some of our own predictions and some

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Speaker 2: of our own state of the race. So if you

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Speaker 2: want first access to that Breaking Points dot Com, it

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Speaker 2: will be available for free just many days later on

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Speaker 2: the free podcast channels as well as on YouTube. So

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Speaker 2: if you want to go ahead and sign up for

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Speaker 2: that exclusive election content you can. You can breakingpoints dot Com.

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Speaker 2: Like I said, we'll be doing a lot of stuff

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Speaker 2: like these conversations, are election predictions, maps, etc. So go

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Speaker 2: ahead and take advantage of that breakingpoints dot Com to

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Speaker 2: become a premium subscriber.

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Speaker 3: Now let's go ahead and put this up there on

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Speaker 3: the screen.

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Speaker 2: We are officially in the absolute run up to the election,

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Speaker 2: only forty three days until that happens, and people are

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Speaker 2: already voting, including in the state of Virginia nearby.

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Speaker 3: Let's go ahead and put this up there on the screen.

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Speaker 3: The video.

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Speaker 2: This was a Virginia precinct on the very first day

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Speaker 2: of early voting. You can see people lined up around

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Speaker 2: the block. People really made an event of it. I

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Speaker 2: personally experienced this as well. When I was walking around

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Speaker 2: on Friday. I was stunned at the crowds. I was like, well,

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Speaker 2: maybe a fancy news shop or something open, no news elections,

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Speaker 2: That's what it was. People were voting, people were geared up.

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Speaker 2: Most of these people are going to be upper middle

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Speaker 2: class liberal because this is northern Virginia. But it does

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Speaker 2: demonstrate that there is a lot of enthusiasm. In fact,

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Speaker 2: the one day voting a record was broken by one pm.

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Speaker 2: Prior to twenty twenty two, more people had already voted

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Speaker 2: by just in the middle of the day than in

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Speaker 2: twenty twenty two in that election, So there's significantly a

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Speaker 2: lot of enthusiasm. I am told in the rural districts

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Speaker 2: in Virginia there were similar levels of enthusiasm as well.

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Speaker 2: So Trump people are also showing up to vote, but

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Speaker 2: they just don't live around here in Northern Virginia. So

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Speaker 2: it's a tight election. People are fired up, they're ready

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Speaker 2: to go, and we're in for it, Crystal.

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Speaker 5: Yeah.

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Speaker 1: And this is also when we start to get into

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Speaker 1: the phase of election where people look to any sort

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Speaker 1: of metrics that they can to grab on too to

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Speaker 1: figure out what the hell is going on. And I

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Speaker 1: would just caution twenty twenty let's all, you know, put

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Speaker 1: our minds back where that was during the pandemic. It

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Speaker 1: was a totally different electoral landscape. So you really can't

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Speaker 1: compare the early voting numbers here with the early voting

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Speaker 1: numbers there because it just was such a totally different

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Speaker 1: situation with people wanting to vote early, with the fact

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Speaker 1: that Trump was discouraging anything other than day of election voting.

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Speaker 1: It really is an apples and orange comparison. I'm sorry,

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Speaker 1: I know that's not satisfying, but I just wanted to

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Speaker 1: put that into the mix, Like, don't make too much

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Speaker 1: of any of these early data signs because it's very difficult,

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Speaker 1: I think, to compare them to past election cycles.

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Speaker 3: Exactly.

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Speaker 2: I'm glad that you said that, because that's one of

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Speaker 2: those where there will be quite a bit and I've

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Speaker 2: actually seen a lot of these go viral. They're like,

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Speaker 2: if we just correct the polls for twenty sixteen and

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Speaker 2: twenty twenty, Trump is one hundred percent going to win.

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Speaker 2: I'm like, yeah, there's just one problem is that we

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Speaker 2: had a twenty twenty two election, so you know, and also,

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Speaker 2: I mean, I keep saying this. Elections are every four years.

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Speaker 2: We don't have a very good sample size. We have

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Speaker 2: some knowledge of what things are, and outliers happen all

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Speaker 2: the time. As debates don't matter right famously.

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Speaker 3: Well what does the say they do until they do?

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Speaker 3: So there you go.

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Speaker 2: Let's go to a two. Please up on the screen.

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Speaker 2: This is important from Nate Silver. We now see he says,

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Speaker 2: quote the big picture, this is his latest election forecast.

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Speaker 2: Who is favored to win the presidency. He actually has

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Speaker 2: now Kamala at fifty one percent and Donald Trump at

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Speaker 2: forty eight point six.

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Speaker 3: That's basically a coin to os. He might as well

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Speaker 3: look at that.

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Speaker 2: Anybody trying to parse, like, oh, Kamala's up or Trump

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Speaker 2: is out. Listen, forty eight point six percent versus fifty

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Speaker 2: one That is a fifty to fifty And basically, in

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Speaker 2: my mind, anything in the sixty to forty range might

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Speaker 2: as well be fifty to fifty just because of how

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Speaker 2: the polls have been off in both directions. Just this morning,

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Speaker 2: underscoring man is a slew of polls from the New

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Speaker 2: York Times.

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Speaker 3: We can go ahead and put that on the screen.

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Speaker 3: I mean, this should show you.

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Speaker 2: As close as it possibly can get for what the

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Speaker 2: electoral map could look like. So the New York Times

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Speaker 2: has Trump with significant strength in the sun Belt battleground states.

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Speaker 2: For example, in the state of Arizona, they have Donald

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Speaker 2: Trump at fifty percent to Harris's forty five.

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Speaker 3: They you have Georgia.

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Speaker 2: Donald Trump forty nine percent to Harris's forty five. Both

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Speaker 2: of those are actually really quite good polls for Trump

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Speaker 2: because previously you had seen things differently. I should note

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Speaker 2: at least for Georgia that there are within the margin

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Speaker 2: of error, and then in North Carolina you have forty

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Speaker 2: nine to forty seven. I would put that North Carolina

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Speaker 2: number effectively at a tie, especially considering some of the

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Speaker 2: North Carolina news we have later on in the show.

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Speaker 2: But what we can learn at least from this is

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Speaker 2: if you look at the overall polling average that they

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Speaker 2: peg THEIRS against Crystal Arizona, they have Trump plus five

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Speaker 2: the polling average Trump plus two. Georgia they have Trump

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Speaker 2: plus four, polling averages, Trump plus two. North Carolina the

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Speaker 2: polling averages even they have Trump plus three. So those

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Speaker 2: are the latest polls that they are pegging themselves. You

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Speaker 2: should also look to some of the past polling where

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Speaker 2: they didn't necessarily have Trump up nearly this much in

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Speaker 2: the state of Arizona. But you know, now as crunch time,

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Speaker 2: most people a lot of people actually.

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Speaker 3: As swing voters.

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Speaker 2: Some past data indicates they don't really make up their

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Speaker 2: mind until about three to four weeks.

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Speaker 3: Before the election.

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Speaker 2: That could change because you can vote a lot earlier

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Speaker 2: now these days, So maybe right now is like really

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Speaker 2: the crunch time for people and how they're thinking about

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Speaker 2: the elections. But you should just consider, you know, if

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Speaker 2: you do watch a show like this, or you're reading

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Speaker 2: the news or any of that, you're kind of an

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Speaker 2: outlier relatives to the general population and how they think

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Speaker 2: about politics and all that can actually change significantly, And

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Speaker 2: in such a close election like today, it's make or

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Speaker 2: break time for both the candidates.

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Speaker 6: I mean, we're just waiting to see which way the

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Speaker 6: polling miss goes.

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Speaker 3: I don't know.

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Speaker 1: Yeah, And that's nothing against the pollsters. It's gotten increasingly

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Speaker 1: hard to pull or for understandable reasons, like you know,

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Speaker 1: people are on cell phones, there's a low response. Then

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Speaker 1: you have these response rate biases where when something happens

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Speaker 1: that one side is really excited about, then they want

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Speaker 1: to pick up the phone and talk.

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Speaker 6: To the pollster, et cetera.

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Speaker 1: So you know, it's very perplexing to look at like

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Speaker 1: the New York Times Siena polls that just came out,

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Speaker 1: which are really bad for Kamala Harris, and then look

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Speaker 1: at the NBC News polls that just came out which

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Speaker 1: are really good for Kamala Harris. But the truth of

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Speaker 1: the matter is, you know, both of them, if you

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Speaker 1: factor in the margin of error, are continued to show

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Speaker 1: a really tight, really close race. I do want a

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Speaker 1: twelve er second on the Nate Silver model because part

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Speaker 1: of why he was so pessimistic about Kamala Harris coming

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Speaker 1: out of the convention, where other models showed more strength

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Speaker 1: for her, and now the streams have crossed again and

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Speaker 1: he has her a very slight favorite. He had factored

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Speaker 1: in like, oh, I'm going to assume that she's going

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Speaker 1: to get this two point post convention bounce, and so

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Speaker 1: I'm going to basically like back that out of my averages,

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Speaker 1: and that's how we ended up showing so much Trump

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Speaker 1: strength coming out of the convention. And now that the

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Speaker 1: polls haven't shifted all that much and his model has

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Speaker 1: shifted a lot, I think it's fair to say, like

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Speaker 1: factoring that in may not have really been like Trump

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Speaker 1: didn't get a convention mount so there were extenuating circumstances

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Speaker 1: by and dropping out of the race, whatever. But I

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Speaker 1: think also Kamala doesn't appear to have gotten that much

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Speaker 1: of a convention bounce either, and backing that out and

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Speaker 1: assuming that she did, and then sort of like digging

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Speaker 1: her for that. I'm not sure that that actually bore

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Speaker 1: out in reality, which is just a testament to the fact.

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Speaker 1: Look again, you have to go based on history, that's

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Speaker 1: what he's working on. This is again not to slam

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Speaker 1: him or whatever. I know, everybody's like doing their best

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Speaker 1: they can with the data that they have, But I

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Speaker 1: think it just shows you this is a very kind

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Speaker 1: of locked in electorate. There's going to be very little

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Speaker 1: movement between these two candidates. These poles are going to

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Speaker 1: look like fifty to fifty basically from here to election day.

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Speaker 1: And one other thing I wanted to flag, especially in

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Speaker 1: light of the New New York Times Siena poll that shows,

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Speaker 1: you know, Georgia with Trump with a little bit of

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Speaker 1: an edge there. You know, in general, I think the

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Speaker 1: poles have tended to show him in Georgia with a

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Speaker 1: little bit of an edge, and him doing a little

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Speaker 1: bit better in Georgia than North Carolina, which is kind

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Speaker 1: of interesting as well and obviously reverse.

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Speaker 6: Of last time.

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Speaker 1: But we just got the news out of Georgia that

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Speaker 1: their Board of Elections, which has been stacked with a

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Speaker 1: lot of sort of like hardcore Trump loyalists has now

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Speaker 1: determined that they're going to require all election day votes

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Speaker 1: to be.

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Speaker 6: Hand counted hand counted.

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Speaker 1: That means Georgia is going to take forever to come

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Speaker 1: in on election night.

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Speaker 6: Yes, I think it's a horrible idea.

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Speaker 1: I think it injects chaos into an already chaotic situation,

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Speaker 1: but that's what they've decided. So just keep in mind

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Speaker 1: we are probably going to be waiting election night a

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Speaker 1: long time to actually figure out what the heck is

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Speaker 1: going on in Georgia. And then the other piece of

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Speaker 1: that is the rural areas that are obviously stronger for

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Speaker 1: Trump and obviously have very much lower population counts, they

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Speaker 1: are likely to come in earlier than the larger population center.

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Speaker 1: So you could have this what we had back in

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Speaker 1: twenty twenty, the quote unquote red mirage in Georgia where

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Speaker 1: it looks like Trump is running way ahead because the

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Speaker 1: areas that are stronger for Democrats come in later with

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Speaker 1: this new hand counting, which I again think is a

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Speaker 1: horrible idea, but that's what they've decided.

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Speaker 2: Well, the what they say is that that it would

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Speaker 2: basically it could take not even the day of it

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Speaker 2: commenced day of but I mean it could take up

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Speaker 2: to weeks apparently according to some of the board members.

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Speaker 3: Insane that are there.

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Speaker 2: I do believe that this will undergo significant court challenge.

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Speaker 2: So this isn't one hundred percent just yet, both about

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Speaker 2: feasibility that some of the people who are against this

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Speaker 2: are claiming that it's literally impossible to do. But it

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Speaker 2: does demonstrate I mean, look, this is always the chaos

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Speaker 2: in the United States where all fifty states get to

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Speaker 2: decide how they run their own elections and they only

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Speaker 2: have their own proclivities. On the other side of the

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Speaker 2: of the coin, for Kamala was a decent run coming

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Speaker 2: out of NBC. Let's put this up there on the screen.

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Speaker 2: For example, we have her at registered polls. They claim

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Speaker 2: a five percent lead Harris forty nine, Trump forty four.

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Speaker 3: Quote.

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Speaker 2: Harris's favorability has jumped sixteen points since July, according to them,

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Speaker 2: the largest increase for any politician in NBC since Bush's

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Speaker 2: forty three standing surge after nine to eleven.

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Speaker 3: Yeah, that is crazy if we continue in the battleground run,

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Speaker 3: Let's go to this run.

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Speaker 2: But this does show really a similar story where according

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Speaker 2: to them in Michigan, Pennsylvania, Wisconsin, Harris is act truly

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Speaker 2: leading and or tied. So they have Michigan at fifty

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Speaker 2: to forty eight. For Harris, Pennsylvania they have forty nine

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Speaker 2: to forty nine basically tied. Wisconsin they have fifty forty

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Speaker 2: eight four Harris. So she, according to them, is showing

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Speaker 2: strength in those traditional blue wall states in Arizona, Georgia, Nevada.

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Speaker 3: Though they had her up.

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Speaker 2: For example, in Arizona and down by one in Georgia,

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Speaker 2: up by three in Nevada, and then up by one

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Speaker 2: in the.

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Speaker 3: State of North Carolina.

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Speaker 2: When you combine it though with New York Times Sienna,

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Speaker 2: I think you do see a pretty significant fifty fifth

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Speaker 2: basically the any any one that shows her winning. Also

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Speaker 2: there's an equally decent one to show her losing. In

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Speaker 2: terms of the betting markets, there has been an interesting move.

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Speaker 2: If we could go to Polymarket please and put a

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Speaker 2: five on the screen.

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Speaker 3: Polymarket, which currently has about a.

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Speaker 2: Billion dollars worth of bets on the presidential election, has

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Speaker 2: Kamala at fifty two forty seven as of yesterday. I

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Speaker 2: just checked it and it looks like it's fifty one

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Speaker 2: forty seven.

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Speaker 3: Now, so there you go, and.

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Speaker 2: Basically fifty to fifty again, for anybody who is an

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Speaker 2: avid better you would know that there's, yes, there's significant

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Speaker 2: upside I think for the people who are working spreads

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Speaker 2: and others for fifty two to forty seven. But you

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Speaker 2: could just see that that is as close to tie

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Speaker 2: as it gets. And you know, Harry Enton over at CNN,

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Speaker 2: he's got decent analysis and he always tries to point

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Speaker 2: out this is the closest election in almost sixty years

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Speaker 2: here in the United States. And if that's the truth,

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Speaker 2: on election day, I think we should all just be

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Speaker 2: comfortable with the fact that we're not going to go

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Speaker 2: We're not going to we're almost certainly not going to

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Speaker 2: know the results of the election on the day of,

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Speaker 2: especially if that Georgia number remains where it is. Recall,

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Speaker 2: last time around, nobody was able to officially call the election.

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Speaker 2: What did you say five days in twenty twenty, there's

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Speaker 2: gonna be some difference because it won't be as many

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Speaker 2: mail in ballots possibly and all of that. But you know,

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Speaker 2: be comfortable with patients and be comfortable with just waiting

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Speaker 2: for a lot of data, because that's just it looks

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Speaker 2: like that's the direction that things are going that are

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Speaker 2: going now, I.

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Speaker 6: Have not reconciled myself to that reality.

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Speaker 2: I'm not saying I'm not ready to yet already not

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Speaker 2: preferable outcome.

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Speaker 6: But yeah, well.

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Speaker 1: Last time, I mean, if recollection serves sometime two am,

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Speaker 1: three am, it became pretty clear that it was going

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Speaker 1: to be Joe Biden. You know, that's when you started

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Speaker 1: to get a you know, clear sense of Arizona, clear

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Speaker 1: sense of Georgia, Pennsylvania like it.

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Speaker 6: But as you said, it took.

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Speaker 1: It took days before I think Fox News was the

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Speaker 1: first to officially call it right.

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Speaker 3: Yes, and over a very questionable Arizona call.

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Speaker 6: Hey ended up being right.

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Speaker 3: They ended up being right. But that's like, that's like

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Speaker 3: being right on Roulette being right.

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Speaker 1: But then obviously, I mean, this is the thing is

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Speaker 1: when it's close, then it opens the window for Trump

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Speaker 1: tried this last time. I don't think there's any reason

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Speaker 1: we should expect him not to try this time again.

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Speaker 1: If he is on the losing end of a close election,

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Speaker 1: to do everything he can to go to the courts

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Speaker 1: and come up the works and claim it's stolen, and

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Speaker 1: then you know, they're already in a lot of ways

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Speaker 1: setting the stage for that. So just buckle up, because

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Speaker 1: here we go again.

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Speaker 2: Yeah, that's right. Be comfortable with ambiguity. That's where things

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Speaker 2: stand as of right now. All right, let's get to Oprah,

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Speaker 2: as Crystal said, and we'll review. So as you guys

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Speaker 2: will remember, a Kama and Oprah set up a big

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Speaker 2: campaign event, notably not an interview, although they tried to

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Speaker 2: make it look a little bit like in interview. We

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Speaker 2: had some of the choice moments of the event, which

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Speaker 2: was basically scripted and mostly on teleprompter. From what we

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Speaker 2: could see, Let's take a listen.

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Speaker 7: What is on your heart to say to the American people?

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Speaker 7: As we have forty seven days until November fifth, what's

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Speaker 7: on your heart? Well say to particularly those people who

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Speaker 7: are still undecided or maybe indifferent or on the fence.

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Speaker 8: Still, we love our country of our country. I know

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Speaker 8: we all do. That's why everybody's here right now. We

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Speaker 8: love our country. We take pride in the privilege of

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Speaker 8: being American, and this is a moment where we can

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Speaker 8: and must come together as Americans, understanding we have so

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Speaker 8: much more in common than what separates us. Let's come

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Speaker 8: together with the character that we are so proud of

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Speaker 8: about who we are, which is we are an optimistic people.

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Speaker 6: We are an optimistic people.

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Speaker 8: Americans by character are people who have dreams and ambitions

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Speaker 8: and aspirations. We believe in what is possible, We believe

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Speaker 8: in what can be, and we believe in fighting for that.

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Speaker 8: That's how we came into being because the people before

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Speaker 8: us understood that one of the greatest expressions for the

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Speaker 8: love of our country, one of the greatest expressions of patriotism,

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Speaker 8: is to fight for the ideals of who we are,

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Speaker 8: which includes freedom to make decisions about your own body,

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Speaker 8: freedom to be safe from gun violence, freedom to have

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Speaker 8: access to the ballot box, freedom to be who you

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Speaker 8: are and just be, to love who you love openly

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Speaker 8: and with pride, freedom to just.

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Speaker 3: Be, freedom to just be. It took a while to

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Speaker 3: get there.

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Speaker 2: I mean, I think the main problem I have with

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Speaker 2: a lot of these answers is that she always takes

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Speaker 2: forever to actually get to anything about others, and it's

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Speaker 2: not just like well in America and they're like the

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Speaker 2: weird inflection.

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Speaker 3: Also, the hand gestures is very ricky.

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Speaker 2: Bobby asked to me, even though it was literally on

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Speaker 2: a teleprompter. She knew the question that was there from

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Speaker 2: photos that were from the background. I just couldn't believe

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Speaker 2: that that's the best you can come up with. It

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Speaker 2: reminds me of Dana Bash interviews. She's like, what's your

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Speaker 2: Day one agenda? She's like, well, it's like takes forever to.

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Speaker 6: Get She always does the like she didn't do it

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Speaker 6: in this answer, which I always liked.

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Speaker 3: Class it's like, A mean, it's like a meme. Now

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Speaker 3: at this point, I grew up in a middle.

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Speaker 1: Class fan, but I have to tell you, I mean,

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Speaker 1: it's it is wild to see. We talked earlier about

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Speaker 1: how much her favorability reading has skyrocketed, and you know,

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Speaker 1: I think she's trying to go for the like generic

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Speaker 1: democrat vibe, and that's what this.

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Speaker 6: Answer feels like.

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Speaker 1: It's like, let me just throw on a bunch of

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Speaker 1: Barack Obama esque buzzwords about like.

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Speaker 6: Unity and what unites this is greater than.

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Speaker 1: What divides us, and we fight and we have values

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Speaker 1: and whatever, and just like put it all together and

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Speaker 1: serve it out to you. And you know, that's that's

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Speaker 1: kind of what the vibe she's going for. And so

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Speaker 1: I think that you know that's consistent with the answer

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Speaker 1: she gave. It's also the sort of thing I don't know,

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Speaker 1: for whatever reason, I think because Trump is so wild

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Speaker 1: that now that she's the standard bearer and not Biden,

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Speaker 1: it hits for people a little different because it does

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Speaker 1: just feel like very sort of normal politicians speak, and.

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Speaker 6: It's like, for a decent.

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Speaker 1: Chunk of America, roughly fifty percent, they're like, yes, just

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Speaker 1: give me something that's that sounds kind of normal, Like

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Speaker 1: that's all I want, and that's what you know, that's

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Speaker 1: the spot she's landing in.

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Speaker 3: Yeah, I don't know.

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Speaker 2: She did give at least an interesting one interesting answer

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Speaker 2: on guns.

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Speaker 7: Let's take a listen, so powerful at the convention when

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Speaker 7: you when you said you have guns?

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Speaker 8: No, at the debate.

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Speaker 3: At the debate, does a gun know that.

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Speaker 8: And getting shot?

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Speaker 3: Yes, yes, I hear that.

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Speaker 7: I hear that.

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Speaker 6: Probably should not have said that, but.

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Speaker 3: My staff would deal with that later.

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Speaker 2: Yeah, okay, all right, So you'll recall Kama said she

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Speaker 2: was a gun owner. What was it during her d No,

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Speaker 2: it was during the debate, That's what it was. And

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Speaker 2: I actually doubted it. I was like, come on, But

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Speaker 2: apparently people went back in check twenty fourteen.

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Speaker 3: So this is not a long stainer.

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Speaker 2: Yeah, I will say in the state of California, you know,

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Speaker 2: if somebody breaks into your house and you do shoot them,

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Speaker 2: good luck with the police because you've got some there's

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Speaker 2: I believe they have a duty to retreat thing on

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Speaker 2: their books. For those of you who are in self

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Speaker 2: defense law, you know what I'm talking about. But anyways,

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Speaker 2: there are two ways you could look at that one.

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Speaker 2: And I saw a lot of right wingers being like, look,

444
00:20:27,760 --> 00:20:30,000
Speaker 2: she's losing so badly that she's trying to come after

445
00:20:30,119 --> 00:20:34,080
Speaker 2: us in terms of shoot somebody who's breaking into your house.

446
00:20:34,160 --> 00:20:36,000
Speaker 2: I don't think there was a lot of strategy behind

447
00:20:36,000 --> 00:20:37,720
Speaker 2: that comment. I think it was just her trying to

448
00:20:37,760 --> 00:20:41,320
Speaker 2: be quote hashtag relatable. I don't know what else to

449
00:20:41,320 --> 00:20:41,879
Speaker 2: say about it.

450
00:20:41,960 --> 00:20:43,840
Speaker 1: Yeah, I saw a lot of right wingers sharing this too,

451
00:20:43,840 --> 00:20:45,440
Speaker 1: and I was like, I don't think that this really

452
00:20:46,000 --> 00:20:47,800
Speaker 1: is serving your cause that much, because, yeah, I mean,

453
00:20:48,080 --> 00:20:49,480
Speaker 1: any if it's strategic at all.

454
00:20:49,359 --> 00:20:51,160
Speaker 3: Which I grew through, probably I don't think it will.

455
00:20:51,240 --> 00:20:53,119
Speaker 1: It's a play to like, see I'm not the like

456
00:20:53,240 --> 00:20:55,880
Speaker 1: crazy liberal coastal elitist you think.

457
00:20:55,720 --> 00:20:57,880
Speaker 6: I am, Like I'm a gun owner, and I.

458
00:20:58,160 --> 00:21:00,520
Speaker 1: Like also wanted to fend my home, which is again

459
00:21:00,720 --> 00:21:02,000
Speaker 1: very relatable sentiments.

460
00:21:02,000 --> 00:21:04,480
Speaker 6: So I don't know she pulls it off. I think

461
00:21:04,480 --> 00:21:05,000
Speaker 6: she pulls it off.

462
00:21:05,080 --> 00:21:05,719
Speaker 3: I don't think so.

463
00:21:06,280 --> 00:21:08,240
Speaker 6: I think if you are familiar charming moment.

464
00:21:08,160 --> 00:21:10,560
Speaker 2: A California person saying that, oh I'm gonna prohoo you I,

465
00:21:10,600 --> 00:21:12,480
Speaker 2: it's like, okay, then you know, good luck, you know, good.

466
00:21:12,359 --> 00:21:15,200
Speaker 6: Luck with the California More the thought she lives.

467
00:21:15,200 --> 00:21:18,120
Speaker 2: Good right, she lives in Washington, live ten times worse

468
00:21:18,160 --> 00:21:19,120
Speaker 2: of a gun owning state.

469
00:21:19,480 --> 00:21:20,760
Speaker 3: Let's put the last one up there on this.

470
00:21:21,040 --> 00:21:21,760
Speaker 6: He's in the White House.

471
00:21:21,760 --> 00:21:23,600
Speaker 1: I don't think she's going to have to be worrying

472
00:21:23,600 --> 00:21:25,720
Speaker 1: about her own self defense any That's another I think

473
00:21:25,760 --> 00:21:26,920
Speaker 1: she's probably.

474
00:21:26,480 --> 00:21:26,840
Speaker 3: Going to be.

475
00:21:27,080 --> 00:21:28,640
Speaker 2: You know, a lot of these people were anti gun.

476
00:21:28,680 --> 00:21:30,600
Speaker 2: We got a lot of security around them. What we've

477
00:21:30,600 --> 00:21:33,199
Speaker 2: got here is new Fox News Howard University poll. This

478
00:21:33,320 --> 00:21:37,040
Speaker 2: was actually another interesting moment from the interview about likely

479
00:21:37,119 --> 00:21:40,400
Speaker 2: black voters in swing states. Has Kamala at eighty two,

480
00:21:40,840 --> 00:21:44,480
Speaker 2: Donald Trump at twelve, undecided at five. That was where

481
00:21:44,520 --> 00:21:47,520
Speaker 2: Trump was in twenty twenty. According to this Just again,

482
00:21:47,560 --> 00:21:49,840
Speaker 2: this is one pole indicating is not quote unquote gaining

483
00:21:50,000 --> 00:21:52,560
Speaker 2: black votes. Here's the only reason that I do doubt

484
00:21:52,600 --> 00:21:55,280
Speaker 2: that is that Trump's strength in the Sun Belt does

485
00:21:55,320 --> 00:21:58,200
Speaker 2: indicate that he has got more strength amongst people who

486
00:21:58,200 --> 00:22:01,159
Speaker 2: are minorities by definition because of the Georgia and the

487
00:22:01,200 --> 00:22:04,600
Speaker 2: Arizona and Nevada electorates. So if you look at his

488
00:22:04,760 --> 00:22:08,679
Speaker 2: gains in those states and actually where his tightest and

489
00:22:08,800 --> 00:22:12,080
Speaker 2: worst states were relative to twenty twenty and twenty sixteen,

490
00:22:12,320 --> 00:22:15,840
Speaker 2: it was in the wider states of Pennsylvania, Michigan, and Wisconsin.

491
00:22:15,920 --> 00:22:18,399
Speaker 2: And in fact, some of the Crosstap polling where we

492
00:22:18,440 --> 00:22:21,680
Speaker 2: have seen Kamala strength in some of the battleground states

493
00:22:21,680 --> 00:22:25,240
Speaker 2: in the Upper Midwest have been because specifically of gains

494
00:22:25,320 --> 00:22:28,800
Speaker 2: amongst white voters in much wider states on average than

495
00:22:28,840 --> 00:22:29,160
Speaker 2: the rest.

496
00:22:29,280 --> 00:22:30,960
Speaker 3: So you take that for what it is.

497
00:22:31,040 --> 00:22:33,600
Speaker 2: But there was an interesting moment Emily and Ryan covered

498
00:22:33,640 --> 00:22:36,360
Speaker 2: at the Kamal at the Black Journalist event where she's like, look,

499
00:22:36,359 --> 00:22:38,680
Speaker 2: I'm not taking black votes for granted, and I mean,

500
00:22:38,680 --> 00:22:41,560
Speaker 2: honestly you shouldn't, you know, looking again at the air

501
00:22:41,600 --> 00:22:44,400
Speaker 2: Georgia strength, at the Trump strength in Arizona, and if

502
00:22:44,400 --> 00:22:47,680
Speaker 2: we look again at those twenty twenty returns of Donald Trump,

503
00:22:47,760 --> 00:22:52,080
Speaker 2: specifically in the Laredo and South Texas area among Hispanics,

504
00:22:52,160 --> 00:22:55,200
Speaker 2: and then you put that on top of Nevada and Arizona,

505
00:22:55,280 --> 00:22:57,639
Speaker 2: you could see very clearly that there is some strength

506
00:22:57,680 --> 00:23:00,960
Speaker 2: there for Trump amongst Latinos. And actually Kamala for example,

507
00:23:01,000 --> 00:23:05,240
Speaker 2: is running Spanish only language adds on border security alongside

508
00:23:05,280 --> 00:23:09,080
Speaker 2: Reuben Gego. So the difference in the national conversation compared

509
00:23:09,119 --> 00:23:12,600
Speaker 2: to how they're trying is totally is totally separate from

510
00:23:12,680 --> 00:23:15,040
Speaker 2: what it actually looks like at an executing level.

511
00:23:15,320 --> 00:23:17,720
Speaker 1: I think one thing you can definitely say, Joe Biden

512
00:23:17,760 --> 00:23:21,000
Speaker 1: did obviously very well with black voters back in twenty twenty.

513
00:23:21,480 --> 00:23:24,560
Speaker 1: Their support had waned visa VI Joe Biden. I think

514
00:23:24,640 --> 00:23:27,000
Speaker 1: one thing that is very clear since Kamala Harris has

515
00:23:27,000 --> 00:23:29,960
Speaker 1: become the standard bearer is that she has improved those

516
00:23:30,040 --> 00:23:33,200
Speaker 1: numbers significantly. Is she all the way back to where

517
00:23:33,320 --> 00:23:35,840
Speaker 1: Joe Biden was in say twenty twenty, You know this

518
00:23:35,840 --> 00:23:38,000
Speaker 1: pole would indicate I've seen other polls that would indicate

519
00:23:38,040 --> 00:23:41,719
Speaker 1: that that's the case. Hard to say exactly, but you know,

520
00:23:41,880 --> 00:23:46,159
Speaker 1: she is improving her margins with Black voters, with Latino

521
00:23:46,200 --> 00:23:49,480
Speaker 1: voters certainly with younger voters as well. Over where Joe

522
00:23:49,520 --> 00:23:52,920
Speaker 1: Biden was when he was in this race, not necessarily

523
00:23:52,960 --> 00:23:55,639
Speaker 1: matching on all of those tables where he was in

524
00:23:55,680 --> 00:23:58,040
Speaker 1: twenty twenty with a winning coalition. So it's something to

525
00:23:58,119 --> 00:23:59,840
Speaker 1: keep an eye on, you know, as a question of

526
00:24:00,000 --> 00:24:03,199
Speaker 1: whether that narrative about Trump winning over black voters may

527
00:24:03,200 --> 00:24:05,600
Speaker 1: have been overstated. You know, question Mark put a pin

528
00:24:05,640 --> 00:24:07,280
Speaker 1: in it right now and will watch what develops with

529
00:24:07,320 --> 00:24:07,760
Speaker 1: more polling.

530
00:24:07,920 --> 00:24:08,560
Speaker 3: Yeah, that's right.

531
00:24:08,600 --> 00:24:11,399
Speaker 2: All right, Well, let's get now to our conversation with

532
00:24:11,600 --> 00:24:14,840
Speaker 2: an election forecaster. You've seen him before here on the show.

533
00:24:14,880 --> 00:24:17,320
Speaker 2: As a reminder, this is going to be exclusive to

534
00:24:17,359 --> 00:24:20,520
Speaker 2: our premium subscribers. Otherwise you guys can wait and you

535
00:24:20,520 --> 00:24:22,639
Speaker 2: can watch it for free sometime later. But let's get

536
00:24:22,680 --> 00:24:23,600
Speaker 2: him in here and let's talk.

537
00:24:26,280 --> 00:24:28,600
Speaker 1: So we also have some news about whether or not

538
00:24:28,680 --> 00:24:31,359
Speaker 1: there is going to be another Kamala Harris versus Donald

539
00:24:31,400 --> 00:24:35,840
Speaker 1: Trump debate. Kamala Harris has accepted a debate invitation. Let's

540
00:24:35,840 --> 00:24:38,400
Speaker 1: put this up on the screen. She says she will

541
00:24:38,440 --> 00:24:42,520
Speaker 1: gladly accept a second presidential debate on October twenty third.

542
00:24:42,560 --> 00:24:45,600
Speaker 1: I hope Donald Trump will join me, He seemed to

543
00:24:45,640 --> 00:24:49,439
Speaker 1: be at a rally. Less receptive to that. It's a

544
00:24:49,440 --> 00:24:52,440
Speaker 1: CNN debate invitation. By the way, Fox News I think,

545
00:24:52,480 --> 00:24:54,680
Speaker 1: had also invited them to a debate, but she specifically

546
00:24:54,720 --> 00:24:59,000
Speaker 1: accepted the CNN debate invitation. He seemed less amenable to

547
00:24:59,080 --> 00:25:02,080
Speaker 1: doing another anywhere. Let's say, to listen to what he.

548
00:25:02,040 --> 00:25:04,600
Speaker 9: Had to say, and they would like just announce a

549
00:25:04,600 --> 00:25:06,879
Speaker 9: little while ago, as that was coming off the plane,

550
00:25:06,880 --> 00:25:15,080
Speaker 9: they would like to do another debate. Although good entertainment value,

551
00:25:15,119 --> 00:25:17,359
Speaker 9: a lot of people say, do it. It's great entertainment.

552
00:25:17,960 --> 00:25:21,960
Speaker 9: I've already done two, one with Cook at Joe Biden

553
00:25:21,960 --> 00:25:25,560
Speaker 9: at CNN and the other one with Kamala on ABC.

554
00:25:26,400 --> 00:25:31,000
Speaker 9: CNN was very fair. I thought Joe was driven out

555
00:25:31,000 --> 00:25:33,480
Speaker 9: of the race. It was a coup, by the way,

556
00:25:33,520 --> 00:25:35,880
Speaker 9: but he was driven out of the race. And they've

557
00:25:35,960 --> 00:25:40,240
Speaker 9: been widely criticized by the radical left lunatics for all

558
00:25:40,280 --> 00:25:42,520
Speaker 9: of the fairness. They were very fair. In other words,

559
00:25:42,920 --> 00:25:45,880
Speaker 9: they won't be fair again because they took a lot

560
00:25:45,920 --> 00:25:49,080
Speaker 9: of abuse from the radical left. ABC was three on one,

561
00:25:49,720 --> 00:25:52,320
Speaker 9: but I was given credit for having done a very

562
00:25:52,440 --> 00:25:55,399
Speaker 9: very good job. I appreciate that we did a great job.

563
00:25:55,920 --> 00:26:02,760
Speaker 9: It was three on one. The problem with another debate

564
00:26:02,920 --> 00:26:05,880
Speaker 9: is that it's just too late. Voting has already started.

565
00:26:06,400 --> 00:26:08,600
Speaker 9: She's had her chance to do it with Fox. You know,

566
00:26:08,720 --> 00:26:11,960
Speaker 9: Fox invited us on and I waited and waited, and

567
00:26:13,240 --> 00:26:15,560
Speaker 9: they turned it down, and they turned it down. But

568
00:26:15,600 --> 00:26:17,879
Speaker 9: now she wants to do a debate right before the

569
00:26:17,920 --> 00:26:21,760
Speaker 9: election with CNN because she's losing badly. You know, it's

570
00:26:21,840 --> 00:26:24,800
Speaker 9: like a fighter. She sees the pole, she sees what's happening.

571
00:26:24,840 --> 00:26:28,000
Speaker 9: She's losing badly, but it's like a fighter who goes

572
00:26:28,040 --> 00:26:30,240
Speaker 9: into the ring and gets knocked out. The first thing

573
00:26:30,280 --> 00:26:31,960
Speaker 9: he says is I want to rematch.

574
00:26:32,040 --> 00:26:34,040
Speaker 3: I want to rematch, all right.

575
00:26:34,119 --> 00:26:36,040
Speaker 1: You know it's funny because he undercuts himself a little

576
00:26:36,040 --> 00:26:38,240
Speaker 1: bit here by saying that CNN was like very fair

577
00:26:38,280 --> 00:26:41,800
Speaker 1: to him, since this is the radical left is criticizing

578
00:26:41,840 --> 00:26:42,840
Speaker 1: them for all the fairness.

579
00:26:42,880 --> 00:26:43,720
Speaker 6: That is what he says.

580
00:26:43,840 --> 00:26:47,159
Speaker 1: But this is another CNN debate invitation. So if they

581
00:26:47,200 --> 00:26:49,960
Speaker 1: were so fair lost time, why not do another one?

582
00:26:50,119 --> 00:26:53,480
Speaker 1: And it is kind of perplexing to me because I

583
00:26:53,560 --> 00:26:58,000
Speaker 1: do feel like he would very likely improve his performance

584
00:26:58,040 --> 00:26:59,080
Speaker 1: over last time.

585
00:27:00,600 --> 00:27:03,240
Speaker 6: He's clearly they've clearly.

586
00:27:03,119 --> 00:27:05,080
Speaker 1: The race is fifty to fifty he's got a very

587
00:27:05,080 --> 00:27:07,520
Speaker 1: good shot at winning, right, but he also has very

588
00:27:07,520 --> 00:27:09,760
Speaker 1: clearly failed to define her in a negative way. You know,

589
00:27:09,800 --> 00:27:13,040
Speaker 1: her favorability rating has gone up a lot, and they

590
00:27:13,040 --> 00:27:16,600
Speaker 1: have not really been able to dig that effectively. So

591
00:27:16,680 --> 00:27:19,720
Speaker 1: it is another shot for him to sort of dirty

592
00:27:19,720 --> 00:27:21,960
Speaker 1: her up. From her perspective too, I understand why she

593
00:27:21,960 --> 00:27:23,479
Speaker 1: wants to do it again because it went really well

594
00:27:23,520 --> 00:27:25,160
Speaker 1: for her last time, and she did get a bump

595
00:27:25,200 --> 00:27:27,520
Speaker 1: of the polls after the debate, somewhat of a bump

596
00:27:27,560 --> 00:27:29,439
Speaker 1: in the polls after the debate. So if you do

597
00:27:29,520 --> 00:27:31,920
Speaker 1: another one and you have a similar result, and you

598
00:27:31,920 --> 00:27:34,080
Speaker 1: you know, draw him out and bait him in the

599
00:27:34,080 --> 00:27:36,000
Speaker 1: way you did the first time around, you've got another

600
00:27:36,080 --> 00:27:37,639
Speaker 1: chance to you know, get a little bit of a

601
00:27:37,960 --> 00:27:41,199
Speaker 1: bump in the polls coming into election day. So, in

602
00:27:41,200 --> 00:27:43,880
Speaker 1: my opinion, the logic for both of them, given how

603
00:27:44,040 --> 00:27:47,000
Speaker 1: close the race is, is that they should have another debate,

604
00:27:47,160 --> 00:27:50,840
Speaker 1: but it's looking unlikely given Trump's now repeated comments that

605
00:27:50,880 --> 00:27:51,880
Speaker 1: he's not interested in one.

606
00:27:52,040 --> 00:27:55,600
Speaker 2: Absolutely, and I think Trump really should have done another

607
00:27:55,680 --> 00:27:59,040
Speaker 2: debate because also, something we just talked about with our

608
00:27:59,080 --> 00:28:03,760
Speaker 2: election forecast segment and previously was that most people who

609
00:28:03,760 --> 00:28:06,800
Speaker 2: are swing voters. And I know this sounds anathema. They

610
00:28:06,800 --> 00:28:09,560
Speaker 2: don't make up their mind until very shortly before the

611
00:28:09,600 --> 00:28:12,919
Speaker 2: election in October twenty third debate would be good for

612
00:28:12,920 --> 00:28:15,840
Speaker 2: Trump because that is when the country is dialed in.

613
00:28:15,960 --> 00:28:18,880
Speaker 2: I mean, these long campaigns, I know everybody is sick

614
00:28:18,880 --> 00:28:21,760
Speaker 2: of them, but unless you are a real political animal,

615
00:28:21,840 --> 00:28:25,480
Speaker 2: most people don't pay any attention until about statistically about

616
00:28:25,520 --> 00:28:28,919
Speaker 2: three weeks before election day. So you want to have

617
00:28:29,000 --> 00:28:30,720
Speaker 2: those I mean, those debates were scheduled there for a

618
00:28:30,800 --> 00:28:33,719
Speaker 2: reason because that's when the most people were paying attention.

619
00:28:33,760 --> 00:28:34,920
Speaker 3: That's when the stakes started highest.

620
00:28:34,960 --> 00:28:37,720
Speaker 2: That's when you could confront the possibility of the October

621
00:28:37,760 --> 00:28:40,600
Speaker 2: surprise and you get to respond and all that. And

622
00:28:40,640 --> 00:28:43,520
Speaker 2: the problem for Trump right now is his overall like

623
00:28:43,600 --> 00:28:46,239
Speaker 2: profile level is down. So for example, we're gonna talk

624
00:28:46,280 --> 00:28:49,160
Speaker 2: a lot about this tomorrow, but looking at data just

625
00:28:49,240 --> 00:28:52,160
Speaker 2: this morning that shows that the amount of rallies that

626
00:28:52,200 --> 00:28:57,040
Speaker 2: he is doing today versus twenty sixteen significantly down. I

627
00:28:57,080 --> 00:29:00,000
Speaker 2: mean I'm talking like orders of magnitude. So his ability

628
00:29:00,120 --> 00:29:02,200
Speaker 2: to take over the new cycle is different. He's not

629
00:29:02,320 --> 00:29:04,840
Speaker 2: the novel character that he was in twenty twenty, at

630
00:29:04,880 --> 00:29:07,120
Speaker 2: least he was the president and it was COVID, so

631
00:29:07,200 --> 00:29:10,600
Speaker 2: people were glued to their phones. Right now, he's less

632
00:29:10,640 --> 00:29:13,080
Speaker 2: in control of the cycle than it ever before. Now

633
00:29:13,120 --> 00:29:14,880
Speaker 2: this actually could be to his advantage. So let me

634
00:29:14,920 --> 00:29:19,800
Speaker 2: give the bowl case for what he's doing. The overall pulling.

635
00:29:19,800 --> 00:29:22,480
Speaker 2: I'm looking out on splits say that people think Kamala

636
00:29:22,560 --> 00:29:25,240
Speaker 2: is too liberal and they don't view Trump as too conservative.

637
00:29:25,320 --> 00:29:27,280
Speaker 3: I'm not saying that that is correct. I saying that's

638
00:29:27,280 --> 00:29:28,360
Speaker 3: what people say.

639
00:29:28,640 --> 00:29:31,719
Speaker 2: So you don't want people to remember Trump in a

640
00:29:31,760 --> 00:29:34,720
Speaker 2: recent light. You want to remember him in a fond like, Hey,

641
00:29:34,760 --> 00:29:37,240
Speaker 2: gas prices were low under Trump, which.

642
00:29:37,040 --> 00:29:38,080
Speaker 6: Is growl glass.

643
00:29:38,120 --> 00:29:40,200
Speaker 2: Yeah, the more a recent New York Times polling the

644
00:29:40,280 --> 00:29:42,400
Speaker 2: number one reason for Trump's strength and all the Sun

645
00:29:42,440 --> 00:29:45,000
Speaker 2: Belt states, which are the most economically dynamic, is I

646
00:29:45,040 --> 00:29:46,600
Speaker 2: felt like I was better off under Trump.

647
00:29:46,760 --> 00:29:48,520
Speaker 3: Then Trump today doesn't matter.

648
00:29:48,680 --> 00:29:51,280
Speaker 2: Kamalo is the only thing. He should remain a flashpoint.

649
00:29:51,320 --> 00:29:53,720
Speaker 2: So I could make the case either way. But Trump

650
00:29:53,800 --> 00:29:56,320
Speaker 2: is a very skilled debater. He's a good politician. I

651
00:29:56,400 --> 00:29:58,840
Speaker 2: want him out there if I'm on his team.

652
00:29:59,640 --> 00:29:59,720
Speaker 9: Know.

653
00:30:00,040 --> 00:30:02,880
Speaker 2: Also leaving it to the last word now goes to

654
00:30:03,000 --> 00:30:05,800
Speaker 2: JD and to Tim Wallace. Why would you ever want

655
00:30:05,840 --> 00:30:08,160
Speaker 2: to give the last word to your vice presidential candidates?

656
00:30:08,240 --> 00:30:08,360
Speaker 1: Right?

657
00:30:08,440 --> 00:30:10,720
Speaker 3: That doesn't make any sense because it's not about you, right,

658
00:30:10,720 --> 00:30:10,920
Speaker 3: you know.

659
00:30:11,080 --> 00:30:11,760
Speaker 6: And JD.

660
00:30:11,880 --> 00:30:14,560
Speaker 1: Van Pas of all the candidate, he has the lowest

661
00:30:14,560 --> 00:30:17,400
Speaker 1: favorability ratings, so he's like, you know, the weakest part

662
00:30:17,440 --> 00:30:18,959
Speaker 1: of your campaign to put out there. I mean, he's

663
00:30:19,000 --> 00:30:21,400
Speaker 1: fine on cable news as an attack dog, but yeah,

664
00:30:21,440 --> 00:30:24,280
Speaker 1: in terms of like actually winning people over for the campaign,

665
00:30:24,680 --> 00:30:28,480
Speaker 1: that's a different story. I mean, I think in some

666
00:30:28,520 --> 00:30:31,000
Speaker 1: ways we kind of overthink this with Trump. The rally

667
00:30:31,080 --> 00:30:33,600
Speaker 1: data really points to it. I think he's just, you know,

668
00:30:33,680 --> 00:30:37,200
Speaker 1: he's older, like as possible. He doesn't want to do

669
00:30:37,240 --> 00:30:38,840
Speaker 1: as much. Even his own aids in the.

670
00:30:38,880 --> 00:30:40,640
Speaker 6: Article about how is rallied a down and like, yeah,

671
00:30:40,640 --> 00:30:41,080
Speaker 6: he wants.

672
00:30:40,880 --> 00:30:42,360
Speaker 1: To spend more time in mar A Lago. He just

673
00:30:42,360 --> 00:30:44,320
Speaker 1: doesn't want to do him as much, you know, and

674
00:30:44,400 --> 00:30:48,760
Speaker 1: look relatable. I'm sure, you know, especially given how old

675
00:30:48,800 --> 00:30:51,240
Speaker 1: he is at this point. But I think that's a

676
00:30:51,240 --> 00:30:53,360
Speaker 1: big part of it. The first one didn't go well,

677
00:30:53,640 --> 00:30:57,400
Speaker 1: he got outside, you know, it directly counter to what

678
00:30:57,480 --> 00:30:59,720
Speaker 1: he says about how Grady did and how she lost

679
00:31:00,160 --> 00:31:01,240
Speaker 1: was you know, terrible for her.

680
00:31:01,360 --> 00:31:02,280
Speaker 6: Et cetera, et cetera.

681
00:31:02,600 --> 00:31:06,720
Speaker 1: The pulls overwhelmingly showed even among Republicans. Many Republicans also

682
00:31:06,760 --> 00:31:09,840
Speaker 1: thought that he lost. The one part of it that

683
00:31:09,880 --> 00:31:12,200
Speaker 1: came out of it that he thought apparently was a win,

684
00:31:12,360 --> 00:31:14,800
Speaker 1: was like the Haitian pets thing, which at least made

685
00:31:14,840 --> 00:31:17,280
Speaker 1: the news cycle into something that he had said. But

686
00:31:17,360 --> 00:31:19,680
Speaker 1: this also did not end up being a positive or

687
00:31:19,760 --> 00:31:22,040
Speaker 1: good story for him or something that you know, for

688
00:31:22,160 --> 00:31:27,000
Speaker 1: him to focus on that moved the campaign forward. So yeah,

689
00:31:27,040 --> 00:31:28,520
Speaker 1: I think it didn't go well for me. He didn't

690
00:31:28,560 --> 00:31:30,120
Speaker 1: enjoy the experience, and he just doesn't want to do

691
00:31:30,120 --> 00:31:32,400
Speaker 1: it again. To me, it's kind of what it comes

692
00:31:32,440 --> 00:31:37,719
Speaker 1: down to, because from a campaign logic rationale, unless you

693
00:31:37,880 --> 00:31:39,800
Speaker 1: really are so convinced that it's going to go just

694
00:31:39,800 --> 00:31:41,520
Speaker 1: as poorly for you second time around as it did

695
00:31:41,520 --> 00:31:43,600
Speaker 1: the first time, it really doesn't make a lot of sense.

696
00:31:43,760 --> 00:31:45,920
Speaker 1: So the other thing is, you know, Kmmin gets to say,

697
00:31:46,000 --> 00:31:47,640
Speaker 1: she gets to look tough like Listen, I said I

698
00:31:47,680 --> 00:31:49,520
Speaker 1: would do it, and he won't do it. It really

699
00:31:49,560 --> 00:31:52,320
Speaker 1: negates all the conversation, the very legitimate critique of her

700
00:31:52,320 --> 00:31:54,560
Speaker 1: that you know, she still isn't really doing interviews. She

701
00:31:54,640 --> 00:31:57,720
Speaker 1: isn't doing press of veils, et cetera. She was very

702
00:31:57,720 --> 00:31:58,640
Speaker 1: closed off to the press.

703
00:31:58,680 --> 00:32:00,040
Speaker 6: Tim Walls, who can at.

704
00:32:00,000 --> 00:32:01,640
Speaker 1: Which I don't understand because I thought the whole reason

705
00:32:01,640 --> 00:32:03,080
Speaker 1: you put this man on the ticket is because he's

706
00:32:03,080 --> 00:32:06,200
Speaker 1: great on cable news. He's also been largely hidden from

707
00:32:06,240 --> 00:32:08,280
Speaker 1: the press. But it really takes the focus on that

708
00:32:08,320 --> 00:32:09,840
Speaker 1: because it gives the vibe of like, oh, well, she

709
00:32:09,880 --> 00:32:11,880
Speaker 1: wants to go out there and engage in the democratic process.

710
00:32:11,960 --> 00:32:13,560
Speaker 6: He's the one who's hiding and doesn't want to do

711
00:32:13,680 --> 00:32:14,120
Speaker 6: the debate.

712
00:32:14,440 --> 00:32:16,640
Speaker 1: So if I were her, I would also say, hey, yeah,

713
00:32:16,680 --> 00:32:18,440
Speaker 1: we'll even do the Fox News debate if you want.

714
00:32:18,560 --> 00:32:20,160
Speaker 6: You know, I'm open to that as well.

715
00:32:20,240 --> 00:32:20,880
Speaker 3: I agree and.

716
00:32:20,800 --> 00:32:23,200
Speaker 1: Col is bluff because I think he's just set on

717
00:32:23,440 --> 00:32:26,240
Speaker 1: I don't want to do anymore period, end of story.

718
00:32:26,440 --> 00:32:28,760
Speaker 1: And we saw that in his Fox News interview where

719
00:32:28,800 --> 00:32:30,600
Speaker 1: he was like, well, I don't want the Fox News

720
00:32:30,680 --> 00:32:32,680
Speaker 1: moderators to be Martha or Brett. I would want him

721
00:32:32,680 --> 00:32:34,720
Speaker 1: to be like Jesse Waters and Sean Hannity, which I.

722
00:32:35,160 --> 00:32:36,920
Speaker 3: Would call the Fox News bluff in particular.

723
00:32:37,040 --> 00:32:39,600
Speaker 2: Yea, because Brett Bayer and Martha mccowum, like, look, you

724
00:32:39,600 --> 00:32:41,480
Speaker 2: can think what you want. Are they right leaning yet?

725
00:32:41,520 --> 00:32:43,840
Speaker 2: But they're not bad. They've moderated a decent amount of debates.

726
00:32:44,200 --> 00:32:44,840
Speaker 6: They would do totally.

727
00:32:44,920 --> 00:32:46,480
Speaker 3: Yeah, they would do a fine enough job.

728
00:32:46,680 --> 00:32:49,560
Speaker 2: Look, I've seen Brett press Trump before, and Trump can

729
00:32:49,600 --> 00:32:53,200
Speaker 2: get himself into actually some serious issues. So my point

730
00:32:53,240 --> 00:32:54,920
Speaker 2: is that it would put him in Uh, it would

731
00:32:54,960 --> 00:32:58,160
Speaker 2: rhetorically be a good move for her. Overall, this shows

732
00:32:58,160 --> 00:33:01,160
Speaker 2: the weaknesses of both of these candidates. Is just all

733
00:33:01,200 --> 00:33:03,120
Speaker 2: over the place. He does whatever he wants. But I

734
00:33:03,120 --> 00:33:05,920
Speaker 2: always thin Kamala is very risk averse and only agreeing

735
00:33:05,960 --> 00:33:08,200
Speaker 2: to this. So for example, you know, Tim Wallace has

736
00:33:08,240 --> 00:33:11,920
Speaker 2: done less interviews than even Kamala Harris, Kamala is doing.

737
00:33:12,000 --> 00:33:12,720
Speaker 3: You know what she's done.

738
00:33:12,760 --> 00:33:15,080
Speaker 2: I believe two or three she's done, According to Axios,

739
00:33:15,080 --> 00:33:17,120
Speaker 2: the least amount of interviews of any major candidate in

740
00:33:17,160 --> 00:33:20,239
Speaker 2: modern American history. Trump at the very least does these

741
00:33:20,280 --> 00:33:22,600
Speaker 2: press conferences, or he's you know, he's doing random stuff.

742
00:33:22,720 --> 00:33:24,520
Speaker 2: Everyone's Sheryl Atkinson or whatever.

743
00:33:24,600 --> 00:33:26,720
Speaker 3: You know all this. Look, I'm not saying it's great,

744
00:33:26,720 --> 00:33:27,200
Speaker 3: but it's something.

745
00:33:27,240 --> 00:33:29,320
Speaker 2: And they last her forty five minutes, and even when

746
00:33:29,360 --> 00:33:32,680
Speaker 2: the interviewer is friendly, interesting stuff sometimes comes out of it.

747
00:33:32,720 --> 00:33:34,840
Speaker 3: I think she at the very least should be doing

748
00:33:34,880 --> 00:33:35,400
Speaker 3: something like that.

749
00:33:35,440 --> 00:33:38,560
Speaker 2: But they're very, very risk averse, probably in an inheritance

750
00:33:38,600 --> 00:33:41,680
Speaker 2: of the Biden team. I could be wrong, but overall

751
00:33:41,760 --> 00:33:44,840
Speaker 2: this is bad for America and for because now the

752
00:33:44,960 --> 00:33:47,520
Speaker 2: election will be litigated through proxies and.

753
00:33:47,560 --> 00:33:49,000
Speaker 3: Worse through ads.

754
00:33:49,200 --> 00:33:52,280
Speaker 2: Ads are a terrible way to experience politics.

755
00:33:52,640 --> 00:33:56,200
Speaker 3: Kamala Harris wants to you know, Dore's Donald Trump and JD.

756
00:33:56,400 --> 00:33:58,280
Speaker 3: Vans where I destroy this country.

757
00:33:58,400 --> 00:34:02,280
Speaker 2: It's the worst possible way to actually engage with elections,

758
00:34:02,440 --> 00:34:04,800
Speaker 2: and I think it leaves a lot more up to

759
00:34:04,880 --> 00:34:07,040
Speaker 2: chance when you would have a lot more control.

760
00:34:07,480 --> 00:34:09,040
Speaker 3: Like we just spoke with Logan about.

761
00:34:09,239 --> 00:34:11,800
Speaker 2: You know, the reason that Kamala did well in the

762
00:34:11,800 --> 00:34:14,560
Speaker 2: state of Pennsylvania relative to every other battleground state is

763
00:34:14,560 --> 00:34:16,759
Speaker 2: because more people in Pennsylvania watched the debates than any

764
00:34:16,800 --> 00:34:20,560
Speaker 2: other state. Per Kapita, there's a lesson in that risk

765
00:34:20,680 --> 00:34:23,840
Speaker 2: and reward. That's what politics ultimately really is about. And

766
00:34:23,960 --> 00:34:25,520
Speaker 2: right now, both of them are taking the most risk

767
00:34:25,560 --> 00:34:26,840
Speaker 2: averse strategy.

768
00:34:26,760 --> 00:34:29,160
Speaker 1: Which is crazy because neither one of them can afford that. Yes,

769
00:34:29,280 --> 00:34:31,719
Speaker 1: that's the thing I mean. I would say Kama is

770
00:34:31,760 --> 00:34:34,200
Speaker 1: being very risk averse on the media. On the debates,

771
00:34:34,239 --> 00:34:38,439
Speaker 1: she's being more bold, And I just cannot understand why

772
00:34:38,480 --> 00:34:40,040
Speaker 1: they are not using Tim Waals as more of an

773
00:34:40,040 --> 00:34:43,759
Speaker 1: asset on cable news, because that, again is like how

774
00:34:43,800 --> 00:34:44,680
Speaker 1: he got the job.

775
00:34:44,840 --> 00:34:46,959
Speaker 6: She didn't really know him. He went out on.

776
00:34:46,880 --> 00:34:48,920
Speaker 1: Cable news, he said the weird thing. People loved it.

777
00:34:48,960 --> 00:34:51,160
Speaker 1: They were like, you know, sharing all his clips. He

778
00:34:51,239 --> 00:34:53,600
Speaker 1: was really great at it, you know, quick on his feet.

779
00:34:53,600 --> 00:34:55,160
Speaker 1: Even when he got asked things that were a little

780
00:34:55,160 --> 00:34:58,560
Speaker 1: bit challenging about his agenda being too liberal or whatever, he.

781
00:34:58,760 --> 00:35:01,120
Speaker 6: Was very he was very talent at it. So, okay,

782
00:35:01,120 --> 00:35:01,680
Speaker 6: you've got this.

783
00:35:01,760 --> 00:35:04,440
Speaker 1: Asset on your side that you put on the ticket, Like,

784
00:35:04,480 --> 00:35:06,600
Speaker 1: why are you hiding him? That part doesn't make any

785
00:35:06,600 --> 00:35:08,560
Speaker 1: sense to me. Hiding her makes a little more sense

786
00:35:08,600 --> 00:35:12,680
Speaker 1: to me because she can be more unsteady in these interviews.

787
00:35:12,840 --> 00:35:16,400
Speaker 1: She's more of a cautious politician. She's more uncomfortable in

788
00:35:16,480 --> 00:35:19,799
Speaker 1: unscripted settings. So far, they've done a really great job

789
00:35:19,840 --> 00:35:22,000
Speaker 1: of protecting her from any moments that would be a

790
00:35:22,040 --> 00:35:24,359
Speaker 1: train wreck from her. So I'm not saying it's good.

791
00:35:24,440 --> 00:35:27,480
Speaker 1: It's not good obviously for democracy. It's a terrible precedent

792
00:35:27,520 --> 00:35:29,360
Speaker 1: to set. It's one that was in some ways already

793
00:35:29,360 --> 00:35:31,759
Speaker 1: set by Biden back in twenty twenty when he did

794
00:35:31,760 --> 00:35:34,400
Speaker 1: so little over the excuse of the pandemic. She's carrying

795
00:35:34,400 --> 00:35:36,839
Speaker 1: that mantle forward and basically betting that she can get

796
00:35:36,880 --> 00:35:39,480
Speaker 1: away with it. And it may be the correct bet,

797
00:35:39,520 --> 00:35:42,000
Speaker 1: but the Tim Walls piece just strategically makes really no

798
00:35:42,080 --> 00:35:42,960
Speaker 1: sense to me one hopever.

799
00:35:43,040 --> 00:35:44,880
Speaker 3: Yeah, the whole thing is very risk averse.

800
00:35:44,960 --> 00:35:47,319
Speaker 2: It's very much like I want to make sure that

801
00:35:47,360 --> 00:35:49,799
Speaker 2: everything is very tightly controlled. The Oprah event is a

802
00:35:49,800 --> 00:35:54,279
Speaker 2: good example. It's a fake interview and you don't particularly good, so.

803
00:35:54,239 --> 00:35:55,600
Speaker 3: You got to put yourself out there. We got to

804
00:35:55,640 --> 00:35:56,960
Speaker 3: see what happens.

805
00:35:57,160 --> 00:35:59,960
Speaker 2: In general, it's bad for America and only have one debate,

806
00:36:00,040 --> 00:36:03,360
Speaker 2: you know, on the issues, et cetera. The feedback actually,

807
00:36:03,400 --> 00:36:05,360
Speaker 2: if you look at that debate, Crystal was for the

808
00:36:05,680 --> 00:36:08,920
Speaker 2: Some of the independent voters who weren't swayed by Kamma

809
00:36:09,000 --> 00:36:11,319
Speaker 2: were like, all I saw was performance and I didn't

810
00:36:11,320 --> 00:36:14,799
Speaker 2: see substance. That's a lesson, you know, people are at Look,

811
00:36:15,080 --> 00:36:18,120
Speaker 2: many people often lie about what they really want whenever

812
00:36:18,160 --> 00:36:18,560
Speaker 2: it comes.

813
00:36:18,760 --> 00:36:21,160
Speaker 3: But I do believe them whatever they say.

814
00:36:21,200 --> 00:36:24,840
Speaker 2: I want to feel as if there is more substance

815
00:36:25,120 --> 00:36:27,960
Speaker 2: behind them, whether they believe the substance or want any

816
00:36:27,960 --> 00:36:29,760
Speaker 2: of that, right, it's very that's dubious.

817
00:36:29,800 --> 00:36:32,400
Speaker 1: I mean, but they did put like the literal performer

818
00:36:32,440 --> 00:36:34,759
Speaker 1: in chief, Donald Trump into the White House, so the

819
00:36:35,239 --> 00:36:39,200
Speaker 1: performance does sell.

820
00:36:39,600 --> 00:36:40,200
Speaker 6: Let's get to this.

821
00:36:40,480 --> 00:36:44,080
Speaker 1: North Carolina chased a lot of times here. This is

822
00:36:44,200 --> 00:36:47,080
Speaker 1: a really wild one. So in the state of North Carolina,

823
00:36:47,120 --> 00:36:50,160
Speaker 1: in addition to the presidential race, which is obviously hotly contested,

824
00:36:50,520 --> 00:36:54,360
Speaker 1: they also are electing a new governor. Democrat Josh Stein

825
00:36:54,520 --> 00:36:58,640
Speaker 1: is up against the current lieutenant governor, Republican Mark Robinson.

826
00:36:59,080 --> 00:37:03,759
Speaker 1: Robinson has a history of quite crazy comments, including you know,

827
00:37:03,840 --> 00:37:08,840
Speaker 1: dabbling in Holocaust, nihilism and the like. However, CNN was

828
00:37:08,880 --> 00:37:15,280
Speaker 1: able to unearth comments made by Robinson on a porn

829
00:37:15,719 --> 00:37:20,279
Speaker 1: site for him called Nude Africa over a number of years.

830
00:37:20,320 --> 00:37:22,160
Speaker 1: Now this was, you know, over a decade ago, so

831
00:37:22,320 --> 00:37:23,160
Speaker 1: keep that in mind.

832
00:37:23,239 --> 00:37:26,000
Speaker 6: Perhaps he's shifted his views. But before I go.

833
00:37:26,000 --> 00:37:28,239
Speaker 1: Into them, just you know, I don't know about you.

834
00:37:28,320 --> 00:37:30,960
Speaker 1: I am quite convinced that this was him. They caught

835
00:37:31,120 --> 00:37:34,200
Speaker 1: cross checked off the email. He claims it's not him,

836
00:37:34,360 --> 00:37:37,319
Speaker 1: it was he used his own name, disqualifying in and

837
00:37:37,320 --> 00:37:40,000
Speaker 1: of itself. Okay, an email address that he's used in

838
00:37:40,040 --> 00:37:43,480
Speaker 1: many other instances, you know, sort of publicly available email address.

839
00:37:43,880 --> 00:37:45,560
Speaker 6: It was a username.

840
00:37:45,320 --> 00:37:47,680
Speaker 1: Mini Soldier or something like that chat linked to him,

841
00:37:47,680 --> 00:37:49,359
Speaker 1: which has been linked to him, that he's used also

842
00:37:49,400 --> 00:37:49,759
Speaker 1: in the past.

843
00:37:49,960 --> 00:37:51,799
Speaker 2: They gave him opportunity to comment. He denied it. So

844
00:37:51,800 --> 00:37:54,279
Speaker 2: we're presenting you all the facts, but his own How

845
00:37:54,440 --> 00:37:56,440
Speaker 2: about this? The people who work for him, they believe it.

846
00:37:56,719 --> 00:37:58,200
Speaker 2: Let's let's put that way, shall we.

847
00:37:58,440 --> 00:38:00,399
Speaker 1: Yes, all right, so let's put this up the screen.

848
00:38:00,440 --> 00:38:02,839
Speaker 1: I'll give you some of the quote unquote highlights of

849
00:38:02,840 --> 00:38:06,800
Speaker 1: what they found here. Headline is I'm a black Nazi.

850
00:38:07,000 --> 00:38:10,360
Speaker 1: North Carolina GOP nominee for governor made dozens of disturbing

851
00:38:10,400 --> 00:38:15,400
Speaker 1: comments on a porn forum. So in addition to saying

852
00:38:15,440 --> 00:38:18,960
Speaker 1: I'm a black Nazi, he also said, quote slavery is

853
00:38:19,000 --> 00:38:22,680
Speaker 1: not bad. Some people need to be slaves. I wish

854
00:38:22,760 --> 00:38:27,480
Speaker 1: they would bring slavery back. I would certainly buy a few. Also,

855
00:38:27,560 --> 00:38:31,439
Speaker 1: with regards to Barack Obama, he said, I would take

856
00:38:31,600 --> 00:38:35,719
Speaker 1: Hitler over any of the shit that's in Washington right now.

857
00:38:35,800 --> 00:38:39,919
Speaker 1: Referring again to Barack Obama. Also with regards to former

858
00:38:39,960 --> 00:38:43,959
Speaker 1: President Obama, he said, get that effing commie bastard off

859
00:38:44,040 --> 00:38:47,279
Speaker 1: the National Mall. When he was you know, when they

860
00:38:47,320 --> 00:38:51,600
Speaker 1: had first unveiled the new MLK junior statue of MLK himself,

861
00:38:52,080 --> 00:38:56,279
Speaker 1: he said, quote, I'm not in the KKK. They don't

862
00:38:56,360 --> 00:38:59,400
Speaker 1: let blacks join. If I was in the KKK, I

863
00:38:59,400 --> 00:39:02,399
Speaker 1: would have called trigger warning. This is a racial slur,

864
00:39:02,760 --> 00:39:07,440
Speaker 1: Martin Lucifer Cohon Robinson posted on the site. There was

865
00:39:07,480 --> 00:39:12,759
Speaker 1: also a lot of disturbing sexual material here, including him

866
00:39:12,840 --> 00:39:16,360
Speaker 1: describing in great detail his quote own sexual arousal as

867
00:39:16,360 --> 00:39:19,000
Speaker 1: an adult from the memory of secretly peeping on women

868
00:39:19,360 --> 00:39:22,120
Speaker 1: in public gym showers as a fourteen year old. He

869
00:39:22,200 --> 00:39:27,560
Speaker 1: described himself as a perv, and he also expressed enjoyment.

870
00:39:27,640 --> 00:39:29,800
Speaker 1: This may be his biggest issue with the Republican base

871
00:39:29,920 --> 00:39:35,560
Speaker 1: of watching transgender porn. So those are some of the

872
00:39:35,600 --> 00:39:37,960
Speaker 1: things that he posted there. I'm not going to read

873
00:39:38,000 --> 00:39:40,000
Speaker 1: the next part. I'll just put it up on the screen.

874
00:39:40,040 --> 00:39:44,080
Speaker 1: There were also elaborate fantasies that he went into great

875
00:39:44,120 --> 00:39:49,600
Speaker 1: detail about about his wife's sister, his literal sister. In

876
00:39:49,760 --> 00:39:53,080
Speaker 1: imagine being his wife, I imagine being his wife, Okay,

877
00:39:53,120 --> 00:39:58,480
Speaker 1: we can take that down. Also, after the Internet got

878
00:39:58,480 --> 00:40:00,600
Speaker 1: a hold of and different reporters got ahold of this

879
00:40:00,800 --> 00:40:03,319
Speaker 1: username that he had apparently been using in all kinds

880
00:40:03,320 --> 00:40:07,919
Speaker 1: of different contexts, including on this porn forum. They found

881
00:40:07,920 --> 00:40:10,000
Speaker 1: all kinds of things that this username was connected to,

882
00:40:10,160 --> 00:40:14,560
Speaker 1: including it seems he took his black nazidom relatively seriously,

883
00:40:14,600 --> 00:40:16,160
Speaker 1: because we can put this up on the screen. He

884
00:40:16,200 --> 00:40:19,840
Speaker 1: was also signed up for German lessons on Duo Lingo

885
00:40:20,400 --> 00:40:25,120
Speaker 1: using that username as well. I believe he also was

886
00:40:25,160 --> 00:40:29,239
Speaker 1: in the Ashley Madison link leak with the which is

887
00:40:29,400 --> 00:40:31,200
Speaker 1: a website to dedicate it to people.

888
00:40:30,960 --> 00:40:33,799
Speaker 3: Who want to cheat.

889
00:40:32,840 --> 00:40:36,680
Speaker 1: And have affairs, and so yeah, a lot there. This

890
00:40:36,760 --> 00:40:38,160
Speaker 1: all came out, by the way, just to give a

891
00:40:38,160 --> 00:40:40,040
Speaker 1: little bit of the backstory. Was it Friday that this

892
00:40:40,080 --> 00:40:43,720
Speaker 1: all happened. Thursday or Friday? Yeah, I don't remember Thursday

893
00:40:43,800 --> 00:40:47,960
Speaker 1: or Friday. Anyway, we got this indication that the Trump

894
00:40:48,000 --> 00:40:50,359
Speaker 1: campaign was trying to talk him into dropping out of

895
00:40:50,360 --> 00:40:53,720
Speaker 1: the race North Carolina obviously being critical. The ballot deadline

896
00:40:53,719 --> 00:40:55,560
Speaker 1: for him to drop out was literally the night that

897
00:40:55,600 --> 00:40:57,680
Speaker 1: all of us dropped. So everyone was sitting around on

898
00:40:57,719 --> 00:41:00,960
Speaker 1: Twitter waiting for this news to drop ALTI comes out

899
00:41:01,280 --> 00:41:03,880
Speaker 1: and he has denied it again.

900
00:41:04,040 --> 00:41:05,920
Speaker 6: I think this is not.

901
00:41:06,040 --> 00:41:07,919
Speaker 1: The right direction to go in in terms of dealing

902
00:41:08,000 --> 00:41:10,320
Speaker 1: with these comments like it is in my opinion obviously

903
00:41:10,400 --> 00:41:13,640
Speaker 1: him and what would be a better approach would be

904
00:41:13,680 --> 00:41:15,480
Speaker 1: to be like, oh, that was a long time ago

905
00:41:15,480 --> 00:41:17,200
Speaker 1: and I was just trolling, like I was just being

906
00:41:17,200 --> 00:41:21,080
Speaker 1: an Internet troll. Instead, he rather unbelievably denies that this

907
00:41:21,160 --> 00:41:22,960
Speaker 1: is him whatsoever. Let's take a listen to what he

908
00:41:22,960 --> 00:41:23,479
Speaker 1: has to say.

909
00:41:24,080 --> 00:41:26,439
Speaker 4: The people here of North Carolina know I have been

910
00:41:26,520 --> 00:41:31,440
Speaker 4: completely transparent about my history, all the wards, and we

911
00:41:31,560 --> 00:41:33,640
Speaker 4: put them all out. We let folks know about it.

912
00:41:34,400 --> 00:41:37,080
Speaker 4: But the folks here also know my character, They know

913
00:41:37,480 --> 00:41:39,680
Speaker 4: who I am, They know my voice, so to speak.

914
00:41:40,200 --> 00:41:42,279
Speaker 4: This is not my voice. This is not things that

915
00:41:42,280 --> 00:41:45,160
Speaker 4: we would ever say or even think, and so absolutely

916
00:41:45,239 --> 00:41:45,440
Speaker 4: we do.

917
00:41:45,960 --> 00:41:48,239
Speaker 5: How do you explain all of the matching details on

918
00:41:48,280 --> 00:41:51,440
Speaker 5: this profile? The profile on New to Africa lists your

919
00:41:51,440 --> 00:41:55,680
Speaker 5: full name as Mark Robinson. The email listed on an

920
00:41:55,719 --> 00:41:58,680
Speaker 5: account is an email that you used. You have used

921
00:41:58,719 --> 00:42:01,600
Speaker 5: elsewhere on the Internet, including with your photo. You have

922
00:42:01,760 --> 00:42:05,400
Speaker 5: used that name Mini Soldier on multiple social media accounts,

923
00:42:05,440 --> 00:42:09,160
Speaker 5: including Twitter, Pinterest, Black planet and YouTube. How can you

924
00:42:09,239 --> 00:42:12,239
Speaker 5: deny with all of these matching details that this is you.

925
00:42:13,320 --> 00:42:15,360
Speaker 4: Look, I'm not going to get into the venutia of

926
00:42:15,400 --> 00:42:19,400
Speaker 4: how some might manufacture this dese selacious tabloid lies, but

927
00:42:19,480 --> 00:42:21,600
Speaker 4: I can tell you this. There's been over one million

928
00:42:21,640 --> 00:42:25,000
Speaker 4: dollars spent on me through AI by billionaire son who's

929
00:42:25,040 --> 00:42:27,960
Speaker 4: bound and determined to destroy me. The things that people

930
00:42:28,000 --> 00:42:30,719
Speaker 4: can do with the Internet now is incredible. But what

931
00:42:30,800 --> 00:42:33,200
Speaker 4: I can tell you is this, again, these are not

932
00:42:33,360 --> 00:42:37,040
Speaker 4: my words. This is simply tabloid trash being used as

933
00:42:37,080 --> 00:42:39,799
Speaker 4: a distraction from the substantive issues that the people of

934
00:42:39,840 --> 00:42:40,880
Speaker 4: this day are facing.

935
00:42:41,160 --> 00:42:43,040
Speaker 1: So anyway, he did not drop out on the race.

936
00:42:43,080 --> 00:42:45,360
Speaker 1: He is still in the race, although he has apparently

937
00:42:45,440 --> 00:42:48,400
Speaker 1: three campaign staffers left everyone else designed.

938
00:42:48,560 --> 00:42:50,000
Speaker 6: Yeah, go ahead.

939
00:42:50,000 --> 00:42:52,560
Speaker 2: For the on screen, all right, just so we all understand,

940
00:42:53,040 --> 00:42:56,080
Speaker 2: Robinson now won't appear at Trump's North Carolina rally. So

941
00:42:56,160 --> 00:42:59,279
Speaker 2: from what I understand from the backstory is that this

942
00:42:59,640 --> 00:43:03,880
Speaker 2: was all known during the primary, but Republicans decided not

943
00:43:04,000 --> 00:43:07,160
Speaker 2: to drop it against him because Donald Trump endorsed him,

944
00:43:07,320 --> 00:43:10,759
Speaker 2: and they were pretty they were pretty clear that Mark

945
00:43:10,840 --> 00:43:13,520
Speaker 2: Robinson was going to become the eventual GOP nominee and

946
00:43:13,560 --> 00:43:15,799
Speaker 2: they didn't want it hurt. So this information has been

947
00:43:15,840 --> 00:43:18,799
Speaker 2: out there amongst opposition researchers and others for quite a

948
00:43:18,800 --> 00:43:21,880
Speaker 2: long time. Now you put that together with the fact

949
00:43:21,960 --> 00:43:24,920
Speaker 2: that this comes out now before the deadline. It was

950
00:43:25,000 --> 00:43:29,000
Speaker 2: actually it appears to have been Republicans who likely leaked

951
00:43:29,000 --> 00:43:31,200
Speaker 2: this to try and force him off the ballot to

952
00:43:31,400 --> 00:43:34,680
Speaker 2: salvage their chances. Robinson, of course, is such an ego

953
00:43:34,719 --> 00:43:37,920
Speaker 2: maniac that he decided to stay in the race. Toronald

954
00:43:37,920 --> 00:43:40,000
Speaker 2: Trump will no longer appear with him on the ballot.

955
00:43:40,120 --> 00:43:42,960
Speaker 2: And this is now in what is very likely a

956
00:43:43,480 --> 00:43:46,960
Speaker 2: very significant and perhaps even the tipping point state. So

957
00:43:47,320 --> 00:43:49,960
Speaker 2: for example, let's put this up there on the screen.

958
00:43:50,520 --> 00:43:53,200
Speaker 2: Just look at where the polling average is right now

959
00:43:53,280 --> 00:43:55,880
Speaker 2: for North Carolina Trump forty seven point.

960
00:43:55,640 --> 00:43:59,160
Speaker 3: Five, Harris forty seven point four. It could not be closer.

961
00:43:59,400 --> 00:44:02,560
Speaker 2: So we have i mean, Mostriano level event that is

962
00:44:02,600 --> 00:44:06,440
Speaker 2: currently happening now at this overall, in this overall statewide election,

963
00:44:07,160 --> 00:44:09,960
Speaker 2: and in a fifty to fifty race, let's say that

964
00:44:10,040 --> 00:44:12,960
Speaker 2: he cost Trump even twenty thousand votes. I mean, Donald

965
00:44:13,000 --> 00:44:15,359
Speaker 2: Trump only lost the state of Georgia by some ten

966
00:44:15,400 --> 00:44:18,400
Speaker 2: thousand votes. Last time around, the margin of victory was

967
00:44:18,440 --> 00:44:21,719
Speaker 2: only what fifty sixty thousand votes. I think over a

968
00:44:21,719 --> 00:44:23,760
Speaker 2: couple of states. You just have to consider how close

969
00:44:23,960 --> 00:44:26,000
Speaker 2: this is. Something we also talked about with Logan, the

970
00:44:26,040 --> 00:44:30,560
Speaker 2: election forecaster, was that this could also convince some Republicans

971
00:44:30,600 --> 00:44:32,319
Speaker 2: to not come out to vote. It could be a

972
00:44:32,400 --> 00:44:35,840
Speaker 2: depressive effect. So it could be there's a multi confluence

973
00:44:35,840 --> 00:44:37,800
Speaker 2: of events here. I'm not saying Trump could still lose

974
00:44:38,400 --> 00:44:40,800
Speaker 2: or Trump couldn't still win the state of North Carolina.

975
00:44:41,040 --> 00:44:43,840
Speaker 2: It's just that whenever it's fifty to fifty, we shouldn't

976
00:44:43,880 --> 00:44:46,360
Speaker 2: be screwing around, you know, with the one of the

977
00:44:46,440 --> 00:44:49,840
Speaker 2: most googled politicians now in all of the United States,

978
00:44:50,239 --> 00:44:53,640
Speaker 2: people desperate for the lurid details and then coming up

979
00:44:53,680 --> 00:44:56,600
Speaker 2: with bs excuses like oh it was Ai.

980
00:44:57,120 --> 00:44:58,879
Speaker 3: You know that is taking me out, Like you got

981
00:44:58,880 --> 00:44:59,880
Speaker 3: to at least have something.

982
00:44:59,680 --> 00:45:00,400
Speaker 6: Bet I said.

983
00:45:00,480 --> 00:45:02,720
Speaker 1: I at least just say like, oh, I was just trolling,

984
00:45:02,960 --> 00:45:05,040
Speaker 1: like you know, freedom of speech, like I was just

985
00:45:05,080 --> 00:45:06,439
Speaker 1: being absurd, I would be.

986
00:45:06,600 --> 00:45:09,360
Speaker 6: You should just say, or more defensable.

987
00:45:09,160 --> 00:45:10,760
Speaker 3: Is a pastor? Is a pastor?

988
00:45:10,760 --> 00:45:13,400
Speaker 2: You should have said, is a pastor I've you know,

989
00:45:13,440 --> 00:45:15,239
Speaker 2: like he's like I'm addicted to porn like many other

990
00:45:15,320 --> 00:45:16,399
Speaker 2: young men, I've seen the lights.

991
00:45:16,719 --> 00:45:19,280
Speaker 1: Okay, but that does an excuse me saying black Nazi

992
00:45:19,320 --> 00:45:20,560
Speaker 1: who wants to own slaves.

993
00:45:21,840 --> 00:45:26,799
Speaker 2: Look you say that carried away?

994
00:45:27,000 --> 00:45:29,680
Speaker 1: Yeah, I mean there is a bigger consistent problem here

995
00:45:29,719 --> 00:45:33,160
Speaker 1: for Republicans, which is they have an extreme candidate issue.

996
00:45:33,280 --> 00:45:35,320
Speaker 1: You know, you've got this guy here, You've got Carrie

997
00:45:35,360 --> 00:45:38,040
Speaker 1: Lake out in Arizona who's very likely to lose that

998
00:45:38,080 --> 00:45:41,480
Speaker 1: Senate seat to Reuben Diego. You know, last cycle you

999
00:45:41,520 --> 00:45:45,120
Speaker 1: had in Mastrano who you referenced, you had herschel Walker,

1000
00:45:45,160 --> 00:45:48,640
Speaker 1: who now looks quite changed in comparison to you know,

1001
00:45:48,719 --> 00:45:50,360
Speaker 1: to this individual Mark Robinson.

1002
00:45:50,800 --> 00:45:51,880
Speaker 6: So you you.

1003
00:45:51,760 --> 00:45:57,640
Speaker 1: Also have a candidate quality issue where Republicans nominate people

1004
00:45:57,880 --> 00:46:01,080
Speaker 1: who have no prayer in hell of winning. Like a

1005
00:46:01,120 --> 00:46:04,480
Speaker 1: Republican goubernatorial candidate in North Carolina should be winning that

1006
00:46:04,560 --> 00:46:07,000
Speaker 1: state all day long, or at least didn't. Content doesn't

1007
00:46:07,000 --> 00:46:10,200
Speaker 1: sending Lieutenant governor right, you should at least be in contention,

1008
00:46:10,840 --> 00:46:14,640
Speaker 1: and instead the polls already have him down by double

1009
00:46:14,680 --> 00:46:17,480
Speaker 1: digits is probably only going to widen. I mean, you're

1010
00:46:17,480 --> 00:46:20,080
Speaker 1: talking about probably a Democratic victory for governor in that

1011
00:46:20,120 --> 00:46:23,280
Speaker 1: state by like fifteen points. That's insane in North Carolina,

1012
00:46:23,360 --> 00:46:26,880
Speaker 1: all because of the dude that you nominated. So, I

1013
00:46:26,880 --> 00:46:29,960
Speaker 1: mean there's a deeper reckoning for the Republican Party where

1014
00:46:29,960 --> 00:46:32,400
Speaker 1: it's like, you know, some of the wild I'm not

1015
00:46:32,440 --> 00:46:34,799
Speaker 1: saying Trump has said anything like a a black nazy Okay,

1016
00:46:34,840 --> 00:46:36,879
Speaker 1: I'm not trying it, but some of the wilder things

1017
00:46:36,880 --> 00:46:38,920
Speaker 1: that Trump does say he can get away with and

1018
00:46:39,000 --> 00:46:43,600
Speaker 1: other Canadates cannot get away with. So yeah, I don't

1019
00:46:43,600 --> 00:46:46,959
Speaker 1: know what turns that particular piece around for the Republican Party,

1020
00:46:47,000 --> 00:46:48,880
Speaker 1: but I'll tell you Democrats are running wild with this.

1021
00:46:49,480 --> 00:46:50,879
Speaker 6: Trump had called him.

1022
00:46:51,400 --> 00:46:59,480
Speaker 1: Trump had called Mark Robinson quote Martin Luther King on steroids, I.

1023
00:46:59,440 --> 00:47:02,279
Speaker 3: Mean, is bigger? Is bigger than doctor K.

1024
00:47:03,000 --> 00:47:05,400
Speaker 1: They've taken that clip and any other time that he

1025
00:47:05,480 --> 00:47:08,360
Speaker 1: endorsed him. Because prior to this incident, Robinson, in spite

1026
00:47:08,400 --> 00:47:10,560
Speaker 1: of other many insane things that he said in the

1027
00:47:10,560 --> 00:47:13,680
Speaker 1: past that are documented, they were you know, he was

1028
00:47:13,719 --> 00:47:14,640
Speaker 1: a regular.

1029
00:47:14,280 --> 00:47:16,400
Speaker 6: At their campaign events. He was a speaker at the

1030
00:47:16,600 --> 00:47:16,920
Speaker 6: R and C.

1031
00:47:17,200 --> 00:47:18,880
Speaker 1: It's not like they were keeping the sky at an

1032
00:47:18,960 --> 00:47:22,000
Speaker 1: arms length distance whatsoever. And so they're going to make

1033
00:47:22,040 --> 00:47:24,239
Speaker 1: as much out of that as they possibly can.

1034
00:47:24,560 --> 00:47:25,759
Speaker 6: And you know, in the.

1035
00:47:25,680 --> 00:47:29,319
Speaker 1: State of North Carolina, if it succeeds in knocking half

1036
00:47:29,320 --> 00:47:32,560
Speaker 1: a point off of Donald Trump, that maybe all that

1037
00:47:32,640 --> 00:47:34,520
Speaker 1: they need to be able to claim that state, and

1038
00:47:34,560 --> 00:47:38,320
Speaker 1: the map becomes very difficult for Trump if he loses

1039
00:47:38,360 --> 00:47:39,640
Speaker 1: North Carolina's.

1040
00:47:39,200 --> 00:47:41,680
Speaker 2: That's why it's probably the most significant. And this is

1041
00:47:41,680 --> 00:47:44,520
Speaker 2: a statewide election. This is something where they could tie

1042
00:47:44,520 --> 00:47:48,399
Speaker 2: them together. Look, it is possible. You just don't want

1043
00:47:48,440 --> 00:47:51,239
Speaker 2: to be dealing with this nonsense whenever things are as

1044
00:47:51,280 --> 00:47:54,439
Speaker 2: tight as they are and you reference the aids. I mean,

1045
00:47:54,640 --> 00:47:56,960
Speaker 2: the guy who's running his campaign now is literally a

1046
00:47:57,000 --> 00:48:02,560
Speaker 2: convicted felon. Jack Bergman somebody who he's a lawyer. He

1047
00:48:03,000 --> 00:48:04,920
Speaker 2: was involved and a whole bunch of schemes has been

1048
00:48:04,960 --> 00:48:05,960
Speaker 2: indicted previously.

1049
00:48:06,000 --> 00:48:07,400
Speaker 3: At the Daily Caller, we used to deal with.

1050
00:48:07,440 --> 00:48:10,800
Speaker 6: Him for felony.

1051
00:48:10,960 --> 00:48:12,520
Speaker 2: Yeah, I think it's something to do with that. But

1052
00:48:12,560 --> 00:48:14,160
Speaker 2: my point was is that I remember him. He used

1053
00:48:14,160 --> 00:48:15,880
Speaker 2: to run around with this other guy and they would

1054
00:48:16,040 --> 00:48:19,040
Speaker 2: often make major claims and do big press conferences and

1055
00:48:19,120 --> 00:48:21,520
Speaker 2: they got in big trouble with the feds, uh for

1056
00:48:21,920 --> 00:48:26,200
Speaker 2: basically shopping OPPO. Except the point is is that they're

1057
00:48:26,200 --> 00:48:29,839
Speaker 2: not sending their best to Mark Robinson's campaign. I'll put

1058
00:48:29,840 --> 00:48:32,400
Speaker 2: it that his top ays have resigned, his campaign manager.

1059
00:48:32,400 --> 00:48:35,240
Speaker 2: He's only got three people now that are left on staff.

1060
00:48:35,360 --> 00:48:38,120
Speaker 2: That's another problem where very often there's like a there's

1061
00:48:38,480 --> 00:48:41,839
Speaker 2: a real work together effect in these tight races where

1062
00:48:41,840 --> 00:48:44,480
Speaker 2: the Trump campaign will work with the googlenatorial.

1063
00:48:43,840 --> 00:48:45,960
Speaker 6: Campaign, co ordinated campaign.

1064
00:48:46,800 --> 00:48:48,719
Speaker 2: Right, so you have a coordinated campaign, it's all about

1065
00:48:48,800 --> 00:48:52,680
Speaker 2: get out the vote, and now you lose statewide operations

1066
00:48:52,840 --> 00:48:54,359
Speaker 2: and people are going to go all in on Trump.

1067
00:48:54,400 --> 00:48:56,759
Speaker 2: But then now Robinson's name will be left off. So

1068
00:48:56,960 --> 00:48:59,240
Speaker 2: just overall, like we're not looking at we're not looking

1069
00:48:59,239 --> 00:49:01,840
Speaker 2: at things that are good right now for Donald Trump

1070
00:49:01,880 --> 00:49:03,000
Speaker 2: in the state of North Carolina.

1071
00:49:05,760 --> 00:49:07,360
Speaker 3: This one took Washington by storm.

1072
00:49:07,680 --> 00:49:10,279
Speaker 2: This is a difficult one unless you literally live here

1073
00:49:10,320 --> 00:49:11,560
Speaker 2: and you kind of know the characters.

1074
00:49:12,040 --> 00:49:13,080
Speaker 3: But we will do our best.

1075
00:49:13,080 --> 00:49:15,160
Speaker 6: So let's go and put this on definitely the talking

1076
00:49:15,200 --> 00:49:15,520
Speaker 6: to town.

1077
00:49:15,640 --> 00:49:17,279
Speaker 2: Oh, this is the talk of the town. Let's put

1078
00:49:17,280 --> 00:49:19,520
Speaker 2: it up there on the screen. This is a scoop

1079
00:49:19,520 --> 00:49:22,400
Speaker 2: from Oliver Darcy. He started his own newsletter called Status.

1080
00:49:22,640 --> 00:49:26,319
Speaker 2: He says, R nuzzies RFK relationship.

1081
00:49:26,640 --> 00:49:26,839
Speaker 3: Now.

1082
00:49:26,880 --> 00:49:29,160
Speaker 2: According to Oliver Darcy, This was Thursday night. He put

1083
00:49:29,200 --> 00:49:31,840
Speaker 2: out a story. New York Magazine has said that's Washington

1084
00:49:31,880 --> 00:49:35,760
Speaker 2: correspondent Olivia Nuzzy is on leave after learning the Star

1085
00:49:35,920 --> 00:49:39,360
Speaker 2: journalist had allegedly engaged in an inappropriate relationship with the

1086
00:49:39,400 --> 00:49:43,040
Speaker 2: reporting subject. That person is RFK Junior, according to people

1087
00:49:43,080 --> 00:49:46,319
Speaker 2: are familiar with the matter. According to them, there had

1088
00:49:46,360 --> 00:49:50,640
Speaker 2: been a quote unquote personal relationship between the two, which,

1089
00:49:50,840 --> 00:49:54,560
Speaker 2: according to a Nuzzy and to RFK, never became an

1090
00:49:55,239 --> 00:49:59,319
Speaker 2: intimate in person or into them. It was strictly online

1091
00:49:59,440 --> 00:50:03,720
Speaker 2: and restricted to the communications between the two. Now since

1092
00:50:03,760 --> 00:50:06,680
Speaker 2: that report, there has been more that has come out

1093
00:50:06,719 --> 00:50:08,640
Speaker 2: giving us some of the alleged details.

1094
00:50:08,920 --> 00:50:10,480
Speaker 3: Let's put this up there on the screen.

1095
00:50:11,160 --> 00:50:13,560
Speaker 2: The way that this all came out, according to New

1096
00:50:13,640 --> 00:50:15,880
Speaker 2: York Magazine, and again there's a lot of according tows

1097
00:50:16,120 --> 00:50:18,919
Speaker 2: going on here, is that RFK Junior, according to them,

1098
00:50:19,040 --> 00:50:21,920
Speaker 2: had either been quote bragging or telling people that he

1099
00:50:22,000 --> 00:50:25,640
Speaker 2: had quote unquote intimate photos of reporter Olivia Nuzzy. She's

1100
00:50:25,680 --> 00:50:29,280
Speaker 2: only thirty one, he's seventy years old. Those rumors got

1101
00:50:29,400 --> 00:50:32,560
Speaker 2: back to the editor of New York Magazine, who was

1102
00:50:32,600 --> 00:50:34,799
Speaker 2: actually in Europe, so how he had heard about it.

1103
00:50:35,040 --> 00:50:37,719
Speaker 2: That's a very interesting story. So according to them, that's

1104
00:50:37,719 --> 00:50:39,920
Speaker 2: how it happened. In New York Magazine, editor in chief

1105
00:50:40,080 --> 00:50:42,920
Speaker 2: heard that RK Junior had been telling people this about

1106
00:50:42,960 --> 00:50:47,200
Speaker 2: this reporter Olivia Nuzzy. He then confronted Nuzzy. Nuzzy allegedly

1107
00:50:47,320 --> 00:50:51,080
Speaker 2: denied it multiple times until she then confirmed the relationships.

1108
00:50:51,120 --> 00:50:52,759
Speaker 2: She's been put on leave as they do a quote

1109
00:50:52,800 --> 00:50:55,959
Speaker 2: unquote investigation. Hard to see how she isn't fired. Now

1110
00:50:56,160 --> 00:50:59,520
Speaker 2: if we moved to the next part, the basically the

1111
00:50:59,600 --> 00:51:03,040
Speaker 2: backs who is being pushed now by RFK and some

1112
00:51:03,040 --> 00:51:04,080
Speaker 2: of the people close to him.

1113
00:51:04,200 --> 00:51:05,880
Speaker 3: Let's put the new posts please.

1114
00:51:06,200 --> 00:51:09,879
Speaker 2: So according to them, quote unquote, Olivia Nuvevey was obsessed

1115
00:51:09,960 --> 00:51:13,799
Speaker 2: and pursued RFK Junior aggressively and he had to block her.

1116
00:51:13,840 --> 00:51:16,279
Speaker 2: This was according to one of these journalists who was

1117
00:51:16,320 --> 00:51:18,200
Speaker 2: very close to RFK Junior.

1118
00:51:18,040 --> 00:51:20,880
Speaker 6: And she was literally kennedy. She related, I.

1119
00:51:21,320 --> 00:51:23,360
Speaker 3: Was trying to figure that out. I didn't want to

1120
00:51:23,560 --> 00:51:24,000
Speaker 3: notice that.

1121
00:51:24,760 --> 00:51:28,520
Speaker 2: According to them, what happened, basically, the RFK Junior story

1122
00:51:28,680 --> 00:51:31,480
Speaker 2: is that she hung out with r K Junior, that

1123
00:51:31,480 --> 00:51:33,719
Speaker 2: they did hiking trips. She wrote about it. She talked

1124
00:51:33,719 --> 00:51:37,160
Speaker 2: about why he was a formidable candidate. Apparently after that incident,

1125
00:51:37,200 --> 00:51:38,480
Speaker 2: she had his phone number. By the way, all of

1126
00:51:38,480 --> 00:51:40,160
Speaker 2: a sudden, his phone number. That's not like a you know,

1127
00:51:40,200 --> 00:51:43,400
Speaker 2: like a secret thing. Most reporters have sourced his phone numbers.

1128
00:51:43,520 --> 00:51:48,880
Speaker 2: She allegedly spammed him with nude photographs. RFK Junior blocked

1129
00:51:48,920 --> 00:51:52,279
Speaker 2: Olivia Nuzzy. She then allegedly sent him an email saying

1130
00:51:52,320 --> 00:51:55,040
Speaker 2: that she had comment that she needed from him so

1131
00:51:55,080 --> 00:51:57,520
Speaker 2: that he would unblock her, and she then proceeded to

1132
00:51:57,760 --> 00:52:01,240
Speaker 2: bombard him with more nude images. Is obviously a convenience

1133
00:52:01,239 --> 00:52:03,640
Speaker 2: story for Urka Junior, who is married, but that is

1134
00:52:03,680 --> 00:52:07,040
Speaker 2: their narrative of events. Nuzzy, for her part, has not

1135
00:52:07,080 --> 00:52:11,200
Speaker 2: put out anything like trying to absolve herself or any

1136
00:52:11,200 --> 00:52:13,920
Speaker 2: of the transcript. People are noting that she did send

1137
00:52:13,960 --> 00:52:16,040
Speaker 2: this tweet in twenty fifteen. Let's put this up there

1138
00:52:16,080 --> 00:52:18,960
Speaker 2: on the screen. Why does Hollywood think female reporters sleep

1139
00:52:19,080 --> 00:52:21,600
Speaker 2: with their sources. This was something that she wrote for

1140
00:52:21,600 --> 00:52:24,920
Speaker 2: New York magazine Help Cause, hero not helping the cause,

1141
00:52:25,239 --> 00:52:26,239
Speaker 2: Olivia Nuzzy.

1142
00:52:26,760 --> 00:52:28,040
Speaker 3: I don't know. I guess there's a lot to say

1143
00:52:28,080 --> 00:52:28,400
Speaker 3: about this.

1144
00:52:29,440 --> 00:52:32,120
Speaker 6: Well well, and she also did you mention this was

1145
00:52:32,280 --> 00:52:33,359
Speaker 6: engaged to Ryan Lizza.

1146
00:52:33,480 --> 00:52:35,360
Speaker 1: I didn't want to bring him into a week I

1147
00:52:35,360 --> 00:52:38,640
Speaker 1: mean that engagement is now off anyway.

1148
00:52:38,400 --> 00:52:41,600
Speaker 6: Just to complete the now. According to agree affair, the

1149
00:52:41,680 --> 00:52:43,000
Speaker 6: background is that.

1150
00:52:42,920 --> 00:52:45,680
Speaker 2: Liza had previously been me tooed from New York. I

1151
00:52:45,719 --> 00:52:49,040
Speaker 2: think the New Yorker nobody ever got really the whole story.

1152
00:52:49,080 --> 00:52:52,000
Speaker 2: But he was fired, which was like very dramatic, and

1153
00:52:52,040 --> 00:52:55,320
Speaker 2: then after eventually ended up. I forget exactly where he

1154
00:52:55,400 --> 00:52:57,919
Speaker 2: ended up, but he resurfaced, he got himself a new job,

1155
00:52:57,920 --> 00:52:59,960
Speaker 2: and he'd been then with Olivia, and people were put

1156
00:53:00,040 --> 00:53:02,200
Speaker 2: into the Tawdrey kind of relationship there.

1157
00:53:02,239 --> 00:53:04,200
Speaker 1: But the whole point is also another big where he

1158
00:53:04,239 --> 00:53:05,320
Speaker 1: runs political play.

1159
00:53:07,160 --> 00:53:09,960
Speaker 2: Insider. So they were like a real Washington power couple.

1160
00:53:10,239 --> 00:53:12,560
Speaker 2: I guess beyond that, really what it is is not

1161
00:53:12,600 --> 00:53:15,000
Speaker 2: only like the nature of their relationship. According to them,

1162
00:53:15,280 --> 00:53:17,400
Speaker 2: they had broken up like a month or so before

1163
00:53:17,760 --> 00:53:20,640
Speaker 2: this entire story came out, So I don't know, I mean,

1164
00:53:20,800 --> 00:53:22,840
Speaker 2: beyond any of the personal stuff, I guess it just

1165
00:53:22,880 --> 00:53:25,640
Speaker 2: gets back to anytime something like this comes out in

1166
00:53:25,680 --> 00:53:29,560
Speaker 2: the open, it's a disgusting look at Washington. It really is, like,

1167
00:53:29,920 --> 00:53:32,799
Speaker 2: look a lot of the stuff it happens and it

1168
00:53:32,840 --> 00:53:34,960
Speaker 2: doesn't actually come out and see the light of day.

1169
00:53:35,000 --> 00:53:37,160
Speaker 2: Probably the only reason it did is because Rfka Junior

1170
00:53:37,160 --> 00:53:40,839
Speaker 2: either couldn't give his mouth shup or allegedly the real

1171
00:53:40,880 --> 00:53:43,200
Speaker 2: story is that he was getting bombarded with this. But

1172
00:53:43,280 --> 00:53:45,280
Speaker 2: I mean he never complained, I guess to her bosses.

1173
00:53:45,320 --> 00:53:47,920
Speaker 3: I don't know. The whole point is is messy and

1174
00:53:48,680 --> 00:53:52,440
Speaker 3: yeah it's gross and I don't know. Yahay.

1175
00:53:52,680 --> 00:53:55,560
Speaker 1: Let me take you through my emotional journey on this story. Okay, So,

1176
00:53:55,880 --> 00:53:58,400
Speaker 1: first of all, Kyle actually woke me up from a

1177
00:53:58,440 --> 00:54:01,359
Speaker 1: dead sweep to inform me with this news act.

1178
00:54:01,440 --> 00:54:03,799
Speaker 3: I woke my wife up in the morning six am, I.

1179
00:54:03,800 --> 00:54:07,000
Speaker 1: Guess, And when I chudged it the level of difficulty

1180
00:54:07,040 --> 00:54:09,520
Speaker 1: my brain had come run the words that were coming

1181
00:54:09,520 --> 00:54:12,320
Speaker 1: out of his mouth. I wish you all could could understand.

1182
00:54:12,600 --> 00:54:16,200
Speaker 1: So my first gut instinct, of course, was like Jesus,

1183
00:54:16,360 --> 00:54:19,640
Speaker 1: she's like thirty years I seven, Like what why would

1184
00:54:19,680 --> 00:54:22,520
Speaker 1: you do? Like, you know, just sort of shock and

1185
00:54:23,239 --> 00:54:26,480
Speaker 1: kind of horror at the details here. As this story

1186
00:54:26,520 --> 00:54:29,680
Speaker 1: has progressed and we've learned more details, especially the fact

1187
00:54:30,200 --> 00:54:34,719
Speaker 1: he was bragging about this, Like, my emotions shifted to

1188
00:54:35,040 --> 00:54:37,560
Speaker 1: a lot of sympathy for her, not to excuse you know,

1189
00:54:37,640 --> 00:54:41,120
Speaker 1: sleeping with a source or having a digital affair. They say,

1190
00:54:41,239 --> 00:54:44,600
Speaker 1: with a source or whatever. It's obviously unethical. I'm also

1191
00:54:44,600 --> 00:54:46,759
Speaker 1: sure it's something that like a lot of people in

1192
00:54:46,800 --> 00:54:49,839
Speaker 1: this town are engaged in, which is again your your

1193
00:54:49,840 --> 00:54:53,239
Speaker 1: point about like a little look into the way that

1194
00:54:53,280 --> 00:54:55,439
Speaker 1: a lot of this town this is the opt.

1195
00:54:55,200 --> 00:54:57,759
Speaker 3: Case, but there are a lot of people who do this.

1196
00:54:57,920 --> 00:55:02,279
Speaker 1: Yeah, So anyway, my emotions have really shifted to a

1197
00:55:02,280 --> 00:55:04,920
Speaker 1: lot of sympathy for her because one thing, if you

1198
00:55:05,000 --> 00:55:08,960
Speaker 1: are here like this is all anyone's talking about, ripping

1199
00:55:09,000 --> 00:55:11,880
Speaker 1: her to shreds, you know, saying all kinds of horrific

1200
00:55:11,920 --> 00:55:14,719
Speaker 1: things about her, et cetera, et cetera. But more to

1201
00:55:14,760 --> 00:55:18,319
Speaker 1: the point, like if you believe him that she was

1202
00:55:18,400 --> 00:55:21,520
Speaker 1: obsessed in just spamming him with nude pictures, like I

1203
00:55:21,560 --> 00:55:23,040
Speaker 1: have a bridge to sell you.

1204
00:55:23,600 --> 00:55:27,279
Speaker 6: This man is ann he used to have in his phone.

1205
00:55:27,440 --> 00:55:30,719
Speaker 1: Some thirty eight mistresses while he was with his ex

1206
00:55:30,719 --> 00:55:33,160
Speaker 1: wife who ended up killing herself, by the way, So

1207
00:55:33,840 --> 00:55:36,279
Speaker 1: we're supposed to believe that she was so obsessed with

1208
00:55:36,320 --> 00:55:38,399
Speaker 1: the seven year old man that she was spamming him

1209
00:55:38,520 --> 00:55:40,560
Speaker 1: nudes and he you know, and he was having to.

1210
00:55:40,480 --> 00:55:42,560
Speaker 6: Blog, I do not buy it.

1211
00:55:42,920 --> 00:55:45,200
Speaker 1: He has a wife, he doesn't want her to leave him,

1212
00:55:45,280 --> 00:55:48,680
Speaker 1: and so that's why, very likely why he's saying what

1213
00:55:48,800 --> 00:55:52,080
Speaker 1: he's saying. The other thing is, there's nothing that discuss

1214
00:55:52,200 --> 00:55:55,319
Speaker 1: me more than a man who goes around bragging about

1215
00:55:55,360 --> 00:55:59,640
Speaker 1: his sexual exploits and specifically bragging about the like nude

1216
00:55:59,680 --> 00:56:03,760
Speaker 1: image of his girlfriend or his fling or his whoever,

1217
00:56:04,040 --> 00:56:06,080
Speaker 1: especially and we don't know that this is the case,

1218
00:56:06,440 --> 00:56:12,400
Speaker 1: but especially when they share said images around with their buddies.

1219
00:56:12,440 --> 00:56:14,160
Speaker 1: There is nothing. There are a few things to me

1220
00:56:14,239 --> 00:56:17,480
Speaker 1: that are more disgusting than that. So that sequence of

1221
00:56:17,480 --> 00:56:22,200
Speaker 1: events has completely shifted me to like just sympathy for Olivia. Again,

1222
00:56:22,440 --> 00:56:25,759
Speaker 1: it was unethical. I'm not excusing the behavior. It was perplexing.

1223
00:56:25,880 --> 00:56:28,360
Speaker 1: It was, in my opinion, like a lot of things.

1224
00:56:28,680 --> 00:56:34,200
Speaker 1: But yeah, the response to it has been disturbing to

1225
00:56:34,280 --> 00:56:35,080
Speaker 1: me as a.

1226
00:56:35,120 --> 00:56:36,920
Speaker 2: Well okay, well let's put it. Yeah, let's put so.

1227
00:56:36,960 --> 00:56:38,880
Speaker 2: The online reaction, I agree, is out of control.

1228
00:56:39,080 --> 00:56:39,680
Speaker 6: It's out of control.

1229
00:56:39,800 --> 00:56:41,120
Speaker 2: Needs to get fired. I mean, this is out of

1230
00:56:41,120 --> 00:56:45,319
Speaker 2: control behavior. This is completely inexcusable. It's look, you're you're,

1231
00:56:45,560 --> 00:56:49,480
Speaker 2: you are irresponsible for the consequences of your actions on RFK.

1232
00:56:49,880 --> 00:56:50,840
Speaker 3: Look, I have no idea.

1233
00:56:51,160 --> 00:56:53,560
Speaker 2: I guess what the what would the kopey that he

1234
00:56:53,600 --> 00:56:56,600
Speaker 2: wasn't bragging he was telling people about it, irl what

1235
00:56:56,680 --> 00:56:58,800
Speaker 2: he should have done, and I don't know what exactly

1236
00:56:58,880 --> 00:57:00,440
Speaker 2: the case is is go to the and be like

1237
00:57:00,520 --> 00:57:02,680
Speaker 2: if this were true, right, so is be like, go

1238
00:57:02,719 --> 00:57:04,600
Speaker 2: to the bosses and be like, hey, your employee is

1239
00:57:04,640 --> 00:57:06,800
Speaker 2: totally out of control, and this is what's happening. And

1240
00:57:06,840 --> 00:57:08,920
Speaker 2: that's part of the reason I'm sketched out is because

1241
00:57:09,280 --> 00:57:12,960
Speaker 2: anybody who legitimately was like a target of being constantly

1242
00:57:13,000 --> 00:57:16,040
Speaker 2: bombarded would want to do something like that. Now here's

1243
00:57:16,080 --> 00:57:18,800
Speaker 2: my challenge to both of the parties. At this point,

1244
00:57:18,800 --> 00:57:19,480
Speaker 2: I'm sick.

1245
00:57:19,240 --> 00:57:20,280
Speaker 3: Of reading the background.

1246
00:57:20,440 --> 00:57:23,280
Speaker 2: Release the transcript, but blur out the images, all right,

1247
00:57:23,320 --> 00:57:25,280
Speaker 2: delete them. I don't nobody cares about the images at

1248
00:57:25,280 --> 00:57:27,680
Speaker 2: this point. I want to see whether somebody was blocked,

1249
00:57:27,960 --> 00:57:31,080
Speaker 2: what the actual correspondence and all that was. And at

1250
00:57:31,080 --> 00:57:33,880
Speaker 2: this point, for Nuzzy, I mean, you have only yourself

1251
00:57:33,880 --> 00:57:36,760
Speaker 2: to save here where you're being in the tabloids, people

1252
00:57:36,760 --> 00:57:39,400
Speaker 2: are saying that you were the one who was bombarding

1253
00:57:40,320 --> 00:57:43,560
Speaker 2: RFK with all of this, So Gavin de Becker is

1254
00:57:43,600 --> 00:57:46,720
Speaker 2: currently quote unquote running the investigation. Something he did last

1255
00:57:46,760 --> 00:57:49,160
Speaker 2: time around, at least with the Jeff Bezos case, is

1256
00:57:49,160 --> 00:57:53,080
Speaker 2: they released all of the communications between when Bezos was

1257
00:57:53,120 --> 00:57:55,640
Speaker 2: caught like sending images. I'll just put it that way

1258
00:57:55,680 --> 00:57:59,040
Speaker 2: to his current what is it fiance, Lauren Sanchez, it

1259
00:57:59,080 --> 00:58:03,000
Speaker 2: appeared to have been leaked by Lawrence's brother Michael. Crazy

1260
00:58:03,040 --> 00:58:05,920
Speaker 2: story in terms of that background. The point is that

1261
00:58:06,200 --> 00:58:10,400
Speaker 2: Becker released like all of the background with Jeff Bezos,

1262
00:58:10,600 --> 00:58:12,600
Speaker 2: where Bezos was like, screw you, I'm not paying any

1263
00:58:12,600 --> 00:58:15,040
Speaker 2: blackmail you could see here for all the world to see.

1264
00:58:15,080 --> 00:58:16,880
Speaker 2: I think they do need to release it now at

1265
00:58:16,880 --> 00:58:19,640
Speaker 2: this point, one of them, because really is the only

1266
00:58:19,640 --> 00:58:23,120
Speaker 2: way you could save like any sort of any sort

1267
00:58:23,160 --> 00:58:25,400
Speaker 2: of credibility on this matter. But for Nazzi, I mean,

1268
00:58:25,400 --> 00:58:26,040
Speaker 2: I think she's done.

1269
00:58:26,120 --> 00:58:27,720
Speaker 3: Like I don't. I don't think he can come back

1270
00:58:27,720 --> 00:58:29,120
Speaker 3: from this one. That's it.

1271
00:58:29,480 --> 00:58:31,400
Speaker 1: Well, I think she's done at this current job. Can

1272
00:58:31,480 --> 00:58:32,320
Speaker 1: she come back over time?

1273
00:58:32,360 --> 00:58:32,600
Speaker 3: Sure?

1274
00:58:33,280 --> 00:58:36,320
Speaker 1: She's very young, talented, she is a talented writer. I

1275
00:58:36,360 --> 00:58:38,280
Speaker 1: read her profile of RFK. It was great, No, it

1276
00:58:38,320 --> 00:58:40,280
Speaker 1: was good, it was really good. She also wrote a

1277
00:58:40,320 --> 00:58:42,240
Speaker 1: good piece. But look, nobody's saying that you're not.

1278
00:58:42,680 --> 00:58:44,880
Speaker 6: Here's the other thing. Here's the other thing.

1279
00:58:44,960 --> 00:58:47,200
Speaker 1: Of course, here's the other thing that's pissing me off, though,

1280
00:58:47,320 --> 00:58:49,360
Speaker 1: is that this has also led to a bunch of

1281
00:58:49,400 --> 00:58:52,360
Speaker 1: like Biden dead enders. She wrote, I don't know if

1282
00:58:52,400 --> 00:58:54,400
Speaker 1: you guys remember those, but we read it.

1283
00:58:54,560 --> 00:58:55,720
Speaker 6: We probably cover on the show.

1284
00:58:56,320 --> 00:59:00,480
Speaker 1: She wrote one of the definitive accounts of Biden's decline

1285
00:59:00,480 --> 00:59:03,880
Speaker 1: that had a lot of inside the circle details about

1286
00:59:03,920 --> 00:59:07,200
Speaker 1: how donors were like seeing him in person and horrified

1287
00:59:07,280 --> 00:59:11,800
Speaker 1: by how he was unable to function essentially, and now

1288
00:59:11,800 --> 00:59:13,880
Speaker 1: you've got a lot of Biden dead enders who are like, oh,

1289
00:59:14,000 --> 00:59:16,840
Speaker 1: you know, we should look again at this, at this article,

1290
00:59:16,880 --> 00:59:20,280
Speaker 1: and basically dismiss it as being biased, etc. If anything,

1291
00:59:20,440 --> 00:59:22,640
Speaker 1: the only problem with that article was how late it

1292
00:59:22,680 --> 00:59:25,160
Speaker 1: came in the game after it was already very clear

1293
00:59:25,280 --> 00:59:26,440
Speaker 1: that that declined the camp.

1294
00:59:26,800 --> 00:59:29,080
Speaker 2: It came out after the debate, and yeah, it's clear

1295
00:59:29,120 --> 00:59:31,080
Speaker 2: that they held it and they had all that reporting

1296
00:59:31,160 --> 00:59:32,480
Speaker 2: prior and they didn't run right.

1297
00:59:32,600 --> 00:59:34,680
Speaker 1: That was the only problem with that. It wasn't that

1298
00:59:34,720 --> 00:59:36,440
Speaker 1: she was too hard on Biden. It was that she

1299
00:59:36,520 --> 00:59:38,280
Speaker 1: went too easy on it. That it should have come

1300
00:59:38,320 --> 00:59:41,080
Speaker 1: out much earlier so that it could better inform the

1301
00:59:41,080 --> 00:59:43,520
Speaker 1: electorate about what was really going on behind the scenes.

1302
00:59:43,800 --> 00:59:46,000
Speaker 6: So that was fisting me off. So is she done?

1303
00:59:46,040 --> 00:59:47,400
Speaker 1: I mean, I don't know, a lot of people have

1304
00:59:47,720 --> 00:59:50,400
Speaker 1: been able to come back from a lot of terrible things.

1305
00:59:50,840 --> 00:59:53,320
Speaker 6: Is she probably done in this job yet? Should she be? Yeah?

1306
00:59:53,400 --> 00:59:55,800
Speaker 6: I mean you can't, like, you just can't. You can't.

1307
00:59:55,840 --> 00:59:58,440
Speaker 1: You can't connect yourself, connect yourself like this with the source,

1308
00:59:58,480 --> 01:00:03,000
Speaker 1: with a you know, a reporting someone you're reporting directly on, etcetera, etcetera.

1309
01:00:03,400 --> 01:00:05,480
Speaker 6: But in terms of the reaction, and I.

1310
01:00:05,560 --> 01:00:09,520
Speaker 1: Just his his science story, I'm sorry, I just don't.

1311
01:00:09,680 --> 01:00:10,680
Speaker 6: I just don't believe.

1312
01:00:10,760 --> 01:00:12,200
Speaker 3: And I think it's to release a transcript.

1313
01:00:12,240 --> 01:00:14,560
Speaker 1: I think it's disgusting that he was out there like

1314
01:00:14,600 --> 01:00:17,000
Speaker 1: bragging about this. If he was really under like you said,

1315
01:00:17,040 --> 01:00:19,200
Speaker 1: so right, if he's really under such assault by this

1316
01:00:19,280 --> 01:00:22,680
Speaker 1: woman who oh my god, poor me, she's spamming me nudes?

1317
01:00:23,200 --> 01:00:27,000
Speaker 6: Then like, are you okay? Are you are you doing

1318
01:00:27,000 --> 01:00:27,439
Speaker 6: all right?

1319
01:00:27,640 --> 01:00:29,600
Speaker 2: I'll tell you why this is sad. This is you know,

1320
01:00:29,840 --> 01:00:32,080
Speaker 2: he's married to Cheryl Hines. I love Cheryl Hines from

1321
01:00:32,360 --> 01:00:35,480
Speaker 2: your enthusiasm. So first of all, we feel terrible for Cheryl, right,

1322
01:00:35,560 --> 01:00:39,800
Speaker 2: that's humiliating. Yet she doesn't deserve this. I feel bad

1323
01:00:39,840 --> 01:00:42,080
Speaker 2: for Ryan Lizza as well. You know these are now

1324
01:00:42,120 --> 01:00:45,600
Speaker 2: we've had two basically relationships that are now either you know,

1325
01:00:45,680 --> 01:00:49,960
Speaker 2: broken and and or like significantly stressed. So let this

1326
01:00:50,160 --> 01:00:53,360
Speaker 2: just be you know, like the major thing, like be faithful.

1327
01:00:52,960 --> 01:00:53,800
Speaker 3: To your spouse.

1328
01:00:54,480 --> 01:00:56,320
Speaker 2: Just don't put people through this, especially when you're in

1329
01:00:56,360 --> 01:00:59,800
Speaker 2: the public eye, because it's really people don't deserve this,

1330
01:01:00,040 --> 01:01:03,040
Speaker 2: you know, they're outside actors. And now for her own career,

1331
01:01:03,240 --> 01:01:06,800
Speaker 2: it's really sad because I think she was very talented,

1332
01:01:06,800 --> 01:01:09,720
Speaker 2: but this will just be the scarlet letter, you know,

1333
01:01:09,760 --> 01:01:10,640
Speaker 2: for all time.

1334
01:01:10,720 --> 01:01:12,760
Speaker 1: Especially Lizza, like you said, you have me too thing.

1335
01:01:12,800 --> 01:01:15,800
Speaker 1: He's recovered. I don't even remember his scandal. I don't

1336
01:01:15,880 --> 01:01:16,479
Speaker 1: remember it.

1337
01:01:16,480 --> 01:01:19,360
Speaker 2: Yeah, but enough people do, and especially for her, Like

1338
01:01:20,560 --> 01:01:24,080
Speaker 2: in terms of it's one thing. It's one thing to

1339
01:01:24,160 --> 01:01:26,160
Speaker 2: like have a me too scandal with somebody, with somebody

1340
01:01:26,160 --> 01:01:29,000
Speaker 2: who's not a subject of major reporting, But to do

1341
01:01:29,080 --> 01:01:32,840
Speaker 2: it with a presidential candidate and be involved with them

1342
01:01:33,160 --> 01:01:35,600
Speaker 2: at the height of the at the height of like

1343
01:01:35,960 --> 01:01:38,520
Speaker 2: all of the attention around it, that just does code

1344
01:01:38,520 --> 01:01:39,280
Speaker 2: a little bit different.

1345
01:01:39,360 --> 01:01:40,800
Speaker 3: I don't know if that's I don't know.

1346
01:01:40,840 --> 01:01:41,360
Speaker 6: All I'm saying.

1347
01:01:41,400 --> 01:01:44,400
Speaker 1: I'm seeing people recover from a lot worse. And listen,

1348
01:01:44,440 --> 01:01:46,960
Speaker 1: maybe I mean, look, maybe there is a gender dynamic

1349
01:01:47,000 --> 01:01:49,640
Speaker 1: here where because she's a woman, like it hangs.

1350
01:01:49,360 --> 01:01:50,920
Speaker 6: Over her more heavily.

1351
01:01:51,040 --> 01:01:53,680
Speaker 1: The label of like, you know, oh, you're a slut

1352
01:01:53,680 --> 01:01:55,360
Speaker 1: who just is going to sleep around with your sources

1353
01:01:55,440 --> 01:01:58,320
Speaker 1: or whatever. Maybe that does hang over her more heavily.

1354
01:01:58,400 --> 01:02:00,400
Speaker 1: But the last thing I just have to open on

1355
01:02:00,720 --> 01:02:03,680
Speaker 1: is I don't know if I buy that it wasn't physical.

1356
01:02:03,920 --> 01:02:06,280
Speaker 1: He also was caught lying already about he said, oh

1357
01:02:06,320 --> 01:02:07,920
Speaker 1: I only met her that once for the profile, and

1358
01:02:07,960 --> 01:02:09,240
Speaker 1: then she wrote a hit piece on me.

1359
01:02:09,800 --> 01:02:10,600
Speaker 6: That wasn't true.

1360
01:02:10,640 --> 01:02:14,360
Speaker 1: They definitely have been in you know, at events together

1361
01:02:14,640 --> 01:02:18,800
Speaker 1: and other you know, professional or potentially private settings together,

1362
01:02:18,880 --> 01:02:21,240
Speaker 1: so that already he's been caught in a lie. I

1363
01:02:21,240 --> 01:02:23,840
Speaker 1: don't know if I believe that it wasn't actually physical,

1364
01:02:23,840 --> 01:02:25,720
Speaker 1: that it was just digital. But in some ways like

1365
01:02:25,880 --> 01:02:27,800
Speaker 1: having a digital relationship.

1366
01:02:29,920 --> 01:02:33,280
Speaker 6: He's kind of crazier to me. But I don't know. Listen, people.

1367
01:02:35,280 --> 01:02:38,080
Speaker 3: Advertisement for TRT seven years old, but a young man on.

1368
01:02:41,760 --> 01:02:44,680
Speaker 1: All right, let's get all right, let's actually the hardest

1369
01:02:44,680 --> 01:02:48,600
Speaker 1: turn of all time, because we are now at a

1370
01:02:48,640 --> 01:02:53,160
Speaker 1: point of you know, escalating chaos in the Middle East.

1371
01:02:53,560 --> 01:02:57,640
Speaker 1: We of course tracked last week how Israel was able

1372
01:02:57,680 --> 01:02:59,920
Speaker 1: to blow up the pagers and then the walkie talk

1373
01:03:00,440 --> 01:03:03,920
Speaker 1: of a lot of HESBLA members, and then you know,

1374
01:03:03,960 --> 01:03:06,720
Speaker 1: there was huge collateral damage. There were children who were killed,

1375
01:03:06,720 --> 01:03:11,200
Speaker 1: people were public market places, etc. Then they started the

1376
01:03:11,240 --> 01:03:12,840
Speaker 1: out and out bombing campaign.

1377
01:03:13,400 --> 01:03:14,400
Speaker 6: And now we are.

1378
01:03:14,360 --> 01:03:22,320
Speaker 1: Getting incredibly deeply disturbing indications that Israel plans an all

1379
01:03:22,440 --> 01:03:27,160
Speaker 1: out assault on at least a portion of Lebanon, somewhat

1380
01:03:27,160 --> 01:03:30,840
Speaker 1: akin to what has already been done to Gaza. Here

1381
01:03:30,960 --> 01:03:36,040
Speaker 1: is Army Chief of Staff Daniel Hagari effectively threatening all

1382
01:03:36,040 --> 01:03:39,960
Speaker 1: of the civilians, building the case that inside of homes

1383
01:03:40,000 --> 01:03:44,560
Speaker 1: and other civilian infrastructure in Lebanon, that these are legitimate

1384
01:03:44,680 --> 01:03:48,720
Speaker 1: military targets. Again, sounds very familiar to the case that

1385
01:03:48,840 --> 01:03:53,400
Speaker 1: was made in Gaza in order to justify blowing up homes, schools, hospitals,

1386
01:03:53,520 --> 01:03:56,280
Speaker 1: mosques and everything in between. Let's take a listen to

1387
01:03:56,360 --> 01:03:57,240
Speaker 1: a bit of what he had to.

1388
01:03:57,240 --> 01:04:02,880
Speaker 10: Say about an hour ago, following indications that Risbala was

1389
01:04:02,920 --> 01:04:08,240
Speaker 10: preparing to fire towards Israeli territory. We began striking terrorist

1390
01:04:08,360 --> 01:04:13,960
Speaker 10: targets throughout Lebanon. That ris Bala terist organization has been

1391
01:04:14,000 --> 01:04:19,240
Speaker 10: continuously launching attacks on Israeli civilians and has no plans

1392
01:04:19,280 --> 01:04:24,080
Speaker 10: to stop. This is thousand Lebanon. There are dozens of

1393
01:04:24,160 --> 01:04:29,680
Speaker 10: Lebanese villages situated along approximately eighty kilometers of the border

1394
01:04:29,720 --> 01:04:34,800
Speaker 10: with Israel. For over twenty years, Risbala has deployed its

1395
01:04:35,000 --> 01:04:41,320
Speaker 10: arms inside homes and militarized civilian infrastructure. As a result

1396
01:04:41,760 --> 01:04:47,439
Speaker 10: that his Balatarist organization has turned southern Lebanon into a bottlefield.

1397
01:04:48,640 --> 01:04:52,560
Speaker 10: This is a village in southern Lebanon. Riz Bala stores

1398
01:04:52,800 --> 01:05:00,400
Speaker 10: cruise missiles, rockets, launchers and UAVs inside civilian homes, hidden

1399
01:05:00,520 --> 01:05:05,520
Speaker 10: behind the Lebanese population living in the village. We are

1400
01:05:05,600 --> 01:05:10,840
Speaker 10: monitoring these activities, locating the weapons and destroying them with

1401
01:05:11,080 --> 01:05:13,800
Speaker 10: precise intelligence based strikes.

1402
01:05:14,280 --> 01:05:16,680
Speaker 1: And sure enough, this morning I'm looking at the New

1403
01:05:16,760 --> 01:05:19,320
Speaker 1: York Times right now they say scores at least one

1404
01:05:19,400 --> 01:05:24,320
Speaker 1: hundred people killed in southern Lebanon after Israel has begun

1405
01:05:24,440 --> 01:05:27,280
Speaker 1: a massive bombardment. We have some images from over the

1406
01:05:27,320 --> 01:05:30,160
Speaker 1: weekend that show you the size and the scale of

1407
01:05:30,160 --> 01:05:31,400
Speaker 1: this military operation.

1408
01:05:31,440 --> 01:05:33,480
Speaker 6: I mean, this is a huge.

1409
01:05:33,320 --> 01:05:37,360
Speaker 1: Blast that's depicted here, and we also have some images

1410
01:05:37,560 --> 01:05:41,920
Speaker 1: of a residential apartment building that was utterly demolished and

1411
01:05:42,080 --> 01:05:46,440
Speaker 1: leveled in this bombing campaign. According to reports over the weekend,

1412
01:05:46,640 --> 01:05:49,760
Speaker 1: they hummel southern Lebanon with strikes on about four hundred

1413
01:05:50,160 --> 01:05:55,960
Speaker 1: different targets. HESWLA is responding with some rocket attacks as well,

1414
01:05:56,040 --> 01:06:01,960
Speaker 1: although largely theirs have been disrupted by the Iron Defense

1415
01:06:02,320 --> 01:06:07,440
Speaker 1: Iron Dome Defense missile defense system, so you know, effectively

1416
01:06:07,480 --> 01:06:11,560
Speaker 1: they're threatening to do in Lebanon what they did in Gaza.

1417
01:06:11,600 --> 01:06:16,640
Speaker 1: Civilians have been told to evacuate the area and the

1418
01:06:17,040 --> 01:06:20,360
Speaker 1: rhetoric that is being used is deeply disturbing. Let's put

1419
01:06:20,360 --> 01:06:22,840
Speaker 1: this next piece up on the screen. This is a voiceover.

1420
01:06:22,880 --> 01:06:24,840
Speaker 1: I'll just give you a sense of what the Israeli

1421
01:06:25,120 --> 01:06:30,200
Speaker 1: Education Minister is saying on This is channel fourteen. This

1422
01:06:30,240 --> 01:06:33,040
Speaker 1: is sort of like their Fox News ish propaganda channel.

1423
01:06:33,320 --> 01:06:36,560
Speaker 1: He says, quote, there's no difference between Hesbola and Lebanon.

1424
01:06:37,240 --> 01:06:41,040
Speaker 1: Lebanon will be annihilated, it will cease to exist.

1425
01:06:41,520 --> 01:06:41,800
Speaker 6: Again.

1426
01:06:41,920 --> 01:06:46,120
Speaker 1: This isn't some random fringe figure. This is an Israeli minister,

1427
01:06:46,760 --> 01:06:51,320
Speaker 1: member of the government how did we get to this

1428
01:06:51,520 --> 01:06:54,560
Speaker 1: place of fresh horror. Well, let's put the next piece

1429
01:06:54,640 --> 01:06:57,680
Speaker 1: up on the screen. By an administration who they're extremely

1430
01:06:57,720 --> 01:07:01,560
Speaker 1: concerned about this risk of all out war, but are

1431
01:07:01,560 --> 01:07:04,479
Speaker 1: they going to do anything. No, Israel officials are telling

1432
01:07:04,560 --> 01:07:07,440
Speaker 1: them that they're increasing attacks against HESBLA are not intended

1433
01:07:07,440 --> 01:07:09,800
Speaker 1: to lead to war, but are an attempt to reach

1434
01:07:10,280 --> 01:07:16,200
Speaker 1: de escalation through escalation. Obviously, that is the most preposters

1435
01:07:16,200 --> 01:07:18,480
Speaker 1: from an Axios report. By the way, this is the

1436
01:07:18,520 --> 01:07:22,240
Speaker 1: most preposterous idea you could possibly imagine.

1437
01:07:23,040 --> 01:07:23,400
Speaker 6: As well.

1438
01:07:23,520 --> 01:07:26,120
Speaker 1: Was not involved in the October seventh the tacks. They've

1439
01:07:26,120 --> 01:07:28,400
Speaker 1: made it very clear that if there is a ceasefire

1440
01:07:28,440 --> 01:07:31,840
Speaker 1: deal that ends the hostilities and returns the hostages, that

1441
01:07:32,240 --> 01:07:35,200
Speaker 1: their bombardment, you know, the rockets that they've been firing

1442
01:07:35,240 --> 01:07:39,760
Speaker 1: into northern Israel would stop. And yet, because of Bebe's

1443
01:07:39,800 --> 01:07:42,560
Speaker 1: determination from the beginning to broaden this war and the

1444
01:07:42,560 --> 01:07:45,080
Speaker 1: Biden administration's failure to stop it by using any sort

1445
01:07:45,120 --> 01:07:49,040
Speaker 1: of leverage, here we are with the region just continuing

1446
01:07:49,080 --> 01:07:49,480
Speaker 1: to spiral.

1447
01:07:49,520 --> 01:07:49,800
Speaker 6: Soccer.

1448
01:07:49,880 --> 01:07:51,400
Speaker 3: Yeah, it's actually very terrifying.

1449
01:07:51,440 --> 01:07:53,919
Speaker 2: I mean, this is probably the closest that we are

1450
01:07:53,960 --> 01:07:56,560
Speaker 2: just yet now currently as of this morning, it just

1451
01:07:56,560 --> 01:07:58,960
Speaker 2: says we don't have an official number of.

1452
01:07:58,800 --> 01:07:59,800
Speaker 3: What the death toll.

1453
01:08:00,320 --> 01:08:04,040
Speaker 2: I do love all of this escalator, de escalation, through escalation,

1454
01:08:04,200 --> 01:08:07,760
Speaker 2: anytime anybody is selling you that they are selling you

1455
01:08:07,800 --> 01:08:10,400
Speaker 2: a bridge, and that currently I mean really, what stands

1456
01:08:10,400 --> 01:08:13,440
Speaker 2: out to me is the complete vacuum of US leadership.

1457
01:08:13,440 --> 01:08:18,679
Speaker 2: Our president is literally dementia ridden, unable to accomplish anything

1458
01:08:19,080 --> 01:08:22,120
Speaker 2: in the Middle East. Our Secretary of State is effectively

1459
01:08:22,160 --> 01:08:25,320
Speaker 2: a nobody throughout this entire thing. Israel did not clear

1460
01:08:25,520 --> 01:08:29,120
Speaker 2: any of its pager gambit with the United States with

1461
01:08:29,160 --> 01:08:33,759
Speaker 2: its intelligence. Lebanon currently and Hesbola are responding and whatever

1462
01:08:33,880 --> 01:08:36,960
Speaker 2: the way they see fit. The Iranians are very involved

1463
01:08:37,000 --> 01:08:39,280
Speaker 2: in the Israelis are just doing whatever they want to do.

1464
01:08:39,320 --> 01:08:41,840
Speaker 2: There are no checks on this entire system now, and

1465
01:08:41,920 --> 01:08:44,160
Speaker 2: we're the ones who are going to pay the bill. Like,

1466
01:08:44,240 --> 01:08:46,400
Speaker 2: let's all be very clear about what this means. Who

1467
01:08:46,439 --> 01:08:49,080
Speaker 2: do you think funds ironedome US? Who do you think

1468
01:08:49,120 --> 01:08:50,639
Speaker 2: responded to those Iran attacks?

1469
01:08:50,720 --> 01:08:50,920
Speaker 6: US?

1470
01:08:51,120 --> 01:08:54,639
Speaker 2: Whose aircraft carriers are the ones they're securing any piece

1471
01:08:55,360 --> 01:08:58,679
Speaker 2: whatever is left in the region US. If this goes big,

1472
01:08:59,000 --> 01:09:01,680
Speaker 2: Israel will suffer for dramatic I'm not saying they won't win.

1473
01:09:01,760 --> 01:09:03,720
Speaker 2: They probably will because they have a lot enough, they

1474
01:09:03,720 --> 01:09:07,440
Speaker 2: have a lot more firepower, but the amount of casualties

1475
01:09:07,479 --> 01:09:09,960
Speaker 2: they will suffer in a war with Hasboula will be

1476
01:09:10,040 --> 01:09:13,040
Speaker 2: ten to one hundred times what they experienced in Gaza.

1477
01:09:13,160 --> 01:09:16,840
Speaker 2: Hezbola is a very sharp and paramilitary force. They have

1478
01:09:16,960 --> 01:09:21,280
Speaker 2: much more Iranian backing, they have much better and sophisticated technology,

1479
01:09:21,320 --> 01:09:23,760
Speaker 2: as evidence by the fact they've been penetrated Iron Dome,

1480
01:09:24,080 --> 01:09:27,320
Speaker 2: and they've got more regional actors and others on their side,

1481
01:09:28,400 --> 01:09:30,240
Speaker 2: as evidence by the fact that the Israelis take them

1482
01:09:30,320 --> 01:09:32,840
Speaker 2: much more seriously, and the two thousand and six war

1483
01:09:33,200 --> 01:09:35,880
Speaker 2: still as a very black mark on the IDF that

1484
01:09:35,920 --> 01:09:40,280
Speaker 2: they have always had to deal with for the domestic

1485
01:09:40,320 --> 01:09:43,880
Speaker 2: populace and its confidence in its military. So you can

1486
01:09:43,920 --> 01:09:46,240
Speaker 2: be rest assured, not only would we have to spend

1487
01:09:46,280 --> 01:09:49,000
Speaker 2: a ton more money, the likelihood of US getting involved

1488
01:09:49,000 --> 01:09:51,680
Speaker 2: here I think would be almost tenfold relative to what

1489
01:09:51,760 --> 01:09:55,879
Speaker 2: happened with Gaza. And that is something that I'm genuinely

1490
01:09:56,000 --> 01:09:58,360
Speaker 2: terrified by, because if they're running out of weapons, just

1491
01:09:58,479 --> 01:10:02,160
Speaker 2: dropping jade ams basis civilian population with no ability to

1492
01:10:02,240 --> 01:10:04,519
Speaker 2: choose back, what does it look like whenever you actually

1493
01:10:04,560 --> 01:10:07,479
Speaker 2: hit the fire, not a peer military, but definitely a

1494
01:10:07,520 --> 01:10:09,320
Speaker 2: much more respectable fighting force.

1495
01:10:09,400 --> 01:10:11,920
Speaker 3: That is something I worry a lot about.

1496
01:10:12,120 --> 01:10:14,920
Speaker 1: So Haretz estimates that there have been one hundred and

1497
01:10:15,000 --> 01:10:17,960
Speaker 1: eighty two killed in Lebanon in these new attacks, and

1498
01:10:18,120 --> 01:10:22,440
Speaker 1: hundreds wounded in retaliation. You now had thirty five rockets

1499
01:10:22,680 --> 01:10:26,880
Speaker 1: fired by Hesbela at Israel's at military targets in Israel's north. Again,

1500
01:10:26,920 --> 01:10:30,960
Speaker 1: this mostly is intercepted by the missile defense system Iron Dome.

1501
01:10:31,160 --> 01:10:31,960
Speaker 6: So I don't know.

1502
01:10:31,920 --> 01:10:37,479
Speaker 1: That there were any Israeli deaths, but you know, at

1503
01:10:37,520 --> 01:10:40,559
Speaker 1: the same time, we can't lose sight of the offensive

1504
01:10:40,560 --> 01:10:44,240
Speaker 1: in Gaza continues. They just bombed a school turned shelter

1505
01:10:44,479 --> 01:10:47,240
Speaker 1: with dozens killed there as well. They're floating a new

1506
01:10:47,280 --> 01:10:51,559
Speaker 1: plan to once again fully evacuate Gaza City, which, if

1507
01:10:51,560 --> 01:10:54,840
Speaker 1: you guys will recall back we're almost a year, we've

1508
01:10:54,880 --> 01:10:57,840
Speaker 1: almost come to a year anniversary, and back at the

1509
01:10:57,880 --> 01:11:01,200
Speaker 1: beginning of their onslaught, Gaza City was the first target

1510
01:11:01,400 --> 01:11:04,759
Speaker 1: ever was forced to evacuate. Then they you know, slowly

1511
01:11:04,800 --> 01:11:07,800
Speaker 1: moved south that destroyed everything in the entire Godza strip.

1512
01:11:07,840 --> 01:11:09,400
Speaker 1: Now you have some people who have come back north,

1513
01:11:09,400 --> 01:11:12,960
Speaker 1: and now they're threatening to evacuate them all again and say, oh,

1514
01:11:13,000 --> 01:11:15,479
Speaker 1: if you don't leave, then you're a legitimate military target.

1515
01:11:15,520 --> 01:11:18,479
Speaker 1: We're gonna kill everyone who remains. This is what's being

1516
01:11:18,479 --> 01:11:23,200
Speaker 1: floated right now. So it's just so dark that the

1517
01:11:23,200 --> 01:11:26,240
Speaker 1: Biden administration has completely given up on a ceasefire. There

1518
01:11:26,280 --> 01:11:30,360
Speaker 1: is not even a prospect on the table anymore. You know,

1519
01:11:30,560 --> 01:11:33,240
Speaker 1: Bebe has sustained at this point, He's much more popular now.

1520
01:11:33,280 --> 01:11:36,479
Speaker 1: I mean, he's recovered his popularity at this point and

1521
01:11:36,680 --> 01:11:40,040
Speaker 1: seems to have withstood the you know, the continued protests moving.

1522
01:11:40,120 --> 01:11:42,360
Speaker 1: I'm not saying that there aren't still protests that are

1523
01:11:42,439 --> 01:11:45,880
Speaker 1: quite heated ongoing, but he seems to have withstood a

1524
01:11:45,920 --> 01:11:48,840
Speaker 1: lot of that, and there's just no end in sight.

1525
01:11:49,400 --> 01:11:54,880
Speaker 1: There is no peaceful coexistence anywhere in sight. And we

1526
01:11:55,200 --> 01:11:58,479
Speaker 1: have spent a lot of time here talking about potential

1527
01:11:58,560 --> 01:12:01,360
Speaker 1: day after quote unquote that what day after?

1528
01:12:02,160 --> 01:12:04,400
Speaker 6: There is no day after? This is this is the plan.

1529
01:12:04,640 --> 01:12:08,080
Speaker 1: Like what we're looking at is just continued continued bombing,

1530
01:12:08,080 --> 01:12:13,160
Speaker 1: continued bombardment, continued slaughter, all of that. It's just indefinite

1531
01:12:13,200 --> 01:12:17,040
Speaker 1: in perpetuity that as far as I can see, is

1532
01:12:17,160 --> 01:12:20,360
Speaker 1: the plan there to have no day after that is

1533
01:12:20,400 --> 01:12:26,080
Speaker 1: the plan. And obviously, you know, the Israelis bear responses.

1534
01:12:26,080 --> 01:12:29,280
Speaker 1: Is Raeli government bears responsibility for the war crimes that

1535
01:12:29,320 --> 01:12:32,040
Speaker 1: they have committed, but we also bear a lot of responsibility.

1536
01:12:32,080 --> 01:12:34,320
Speaker 1: We're the ones that are tax dollari go on to

1537
01:12:34,360 --> 01:12:36,720
Speaker 1: ship these weapons that are being dropped now on civilians

1538
01:12:36,720 --> 01:12:39,160
Speaker 1: in Lebanon and being dropped in Gaza. And you know,

1539
01:12:39,479 --> 01:12:42,800
Speaker 1: the West Bank has been invaded as well, and our

1540
01:12:42,840 --> 01:12:45,760
Speaker 1: political leadership has just decided that it's too hard to

1541
01:12:46,000 --> 01:12:48,479
Speaker 1: force Israel to stop, so they're just gonna allow to

1542
01:12:48,560 --> 01:12:49,000
Speaker 1: keep going.

1543
01:12:49,120 --> 01:12:51,479
Speaker 2: Yeah, I read now the US has directly warned Israel

1544
01:12:51,560 --> 01:12:54,439
Speaker 2: against opening a full blown war with Hesbola. This is

1545
01:12:54,479 --> 01:12:55,920
Speaker 2: from the Financial Times.

1546
01:12:56,040 --> 01:12:58,679
Speaker 1: I mean they already like it's already over, it's done.

1547
01:12:58,800 --> 01:13:00,960
Speaker 1: The full blown is here.

1548
01:13:01,400 --> 01:13:01,599
Speaker 5: Now.

1549
01:13:01,600 --> 01:13:06,040
Speaker 1: We don't have a ground invasion yet, yes, hopefully, yeah, but.

1550
01:13:06,680 --> 01:13:08,639
Speaker 6: Uh and not just again.

1551
01:13:09,120 --> 01:13:13,800
Speaker 1: From the beginning post October seventh, one of the very

1552
01:13:13,840 --> 01:13:17,400
Speaker 1: early on and consistently stated objectives of the Biden administration

1553
01:13:17,640 --> 01:13:20,639
Speaker 1: was to keep this from spiraling in a wider war.

1554
01:13:20,880 --> 01:13:23,439
Speaker 6: Now it's been a wider war for quite a while now,

1555
01:13:23,680 --> 01:13:24,120
Speaker 6: but this.

1556
01:13:24,240 --> 01:13:29,640
Speaker 1: Is another big, big step. Your policy failed. Like you

1557
01:13:29,680 --> 01:13:32,760
Speaker 1: are complete and utter failure on a moral level, on

1558
01:13:32,800 --> 01:13:35,559
Speaker 1: American strategic interest level, on a just like level of

1559
01:13:35,640 --> 01:13:39,000
Speaker 1: humiliation and impotence. You are a total and complete failure.

1560
01:13:39,439 --> 01:13:41,720
Speaker 1: And now apparently you've just given up. You know, we're

1561
01:13:41,720 --> 01:13:44,160
Speaker 1: never going to get anything more than those like, oh

1562
01:13:44,240 --> 01:13:47,240
Speaker 1: he's spoken difficult. Yeah, he had a tough conversation with baby.

1563
01:13:47,400 --> 01:13:49,880
Speaker 1: Who fucking cares? Like who cares? It does not It

1564
01:13:49,920 --> 01:13:52,240
Speaker 1: obviously does not matter. And then at a certain point

1565
01:13:52,280 --> 01:13:54,719
Speaker 1: you have to say, like, if the strategy has been

1566
01:13:54,760 --> 01:13:58,400
Speaker 1: deployed consistently over all these months and you know the

1567
01:13:58,439 --> 01:14:01,479
Speaker 1: result it's going to get, then at some point you're like, okay,

1568
01:14:01,520 --> 01:14:03,760
Speaker 1: well you're just you're just lying that you have a

1569
01:14:03,760 --> 01:14:06,920
Speaker 1: different objective than BB. You have to be, because you

1570
01:14:06,960 --> 01:14:09,479
Speaker 1: can't be so stupid as to not expect exactly the

1571
01:14:09,520 --> 01:14:12,840
Speaker 1: result that we're getting here. So it's you know, it's

1572
01:14:13,160 --> 01:14:15,920
Speaker 1: incredibly dark. It's incredibly dark, and I think from the

1573
01:14:16,040 --> 01:14:20,439
Speaker 1: side of the of Hamas of Sinowar at all, they

1574
01:14:20,479 --> 01:14:24,400
Speaker 1: feel like they, you know, are willing to bear the

1575
01:14:24,439 --> 01:14:27,400
Speaker 1: cost of tens of thousands of Palestinians who have now

1576
01:14:27,479 --> 01:14:30,240
Speaker 1: been killed potentially even up to you know, one hundred

1577
01:14:30,240 --> 01:14:32,719
Speaker 1: thousand who have been killed, according to some estimates, buried

1578
01:14:32,760 --> 01:14:37,759
Speaker 1: under the rubble, life, made unlivable, communicable diseases, all the rest.

1579
01:14:38,560 --> 01:14:41,120
Speaker 1: And they think they can outlast the Israelis, and that,

1580
01:14:41,320 --> 01:14:44,080
Speaker 1: you know, if there's enough of a security. They've sort

1581
01:14:44,080 --> 01:14:49,400
Speaker 1: of breached the security status quo in Israel where they

1582
01:14:49,720 --> 01:14:51,880
Speaker 1: no longer feel safe and they believe that they can

1583
01:14:51,960 --> 01:14:54,400
Speaker 1: sort of outlast the Israelis. And it's like, you know,

1584
01:14:54,680 --> 01:14:58,040
Speaker 1: it's it's just death and horror, death and horror. As

1585
01:14:58,080 --> 01:15:00,719
Speaker 1: far as you can say, that's unfortunate, only the grim

1586
01:15:00,760 --> 01:15:01,759
Speaker 1: picture we have this morning.

1587
01:15:01,800 --> 01:15:03,439
Speaker 2: Yep, all right, thank you guys so much for watching.

1588
01:15:03,439 --> 01:15:06,439
Speaker 2: We appreciate it. We'll keep everybody updated. As a reminder,

1589
01:15:06,479 --> 01:15:09,280
Speaker 2: we've got that exclusive election content from our premium subscribers,

1590
01:15:09,280 --> 01:15:10,360
Speaker 2: Breakingpoints dot Com.

1591
01:15:10,400 --> 01:15:11,759
Speaker 3: Otherwise, we'll see you all tomorrow