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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 coverage.

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Speaker 3: That is possible.

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

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Speaker 2: the absolute world to have your support.

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

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Speaker 3: Happy Monday. We have an amazing show for everybody today.

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Speaker 3: What do we have, Crystal, indeed we do.

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Speaker 4: How many days are we till day?

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Speaker 3: Fifteen days?

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Speaker 4: Oh my god, super close.

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Speaker 1: We've got new early voting data out of Nevada that

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Speaker 1: is quite interesting to dig into with our friend Logan,

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Speaker 1: so we will do that. We also have some new

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Speaker 1: numbers about how both campaigns are making their closing pitch.

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Speaker 1: They clearly both have very different analyzes of how to

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Speaker 1: move voters here in the final days that we'll dig

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Speaker 1: into that as well. We also have a lot of

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Speaker 1: activity on the campaign trail, Donald Trump working at McDonald's.

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Speaker 4: We'll show you that.

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Speaker 1: He also was talking about Arnold Palmer Stick for some reason,

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Speaker 1: we'll show you that as well, for whatever that's worth.

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Speaker 1: Elon is out potentially breaking election law. Will break that

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Speaker 1: down for you. Kamala was on a SEBC with Reverend

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Speaker 1: Al Sharpton, clearly trying to make a pitch to black

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Speaker 1: men in particular.

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Speaker 4: Some interesting moments there.

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Speaker 1: She continues to struggle with Arab American voters and gave

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Speaker 1: a just in my opinion, horrendous answer about whether she

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Speaker 1: could lose the election over October seventh and her signing

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Speaker 1: with Joe Biden and not breaking with him whatsoever. We

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Speaker 1: also have some updates for you out of the Middle East.

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Speaker 1: Israel Know assassinated successfully, Yeah yah Sinoir. They released the

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Speaker 1: video of you know as a drone video of the

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Speaker 1: moments leading up to his death and really in certain

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Speaker 1: ways provided a propaganda final propaganda win for him, even

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Speaker 1: outlets like Wall Street Journal writing it up as such.

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Speaker 1: So we'll break those details down for you. And Ken

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Speaker 1: Clippenstein is going to join us. He just posted some

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Speaker 1: documents that were leaked to a telegram channel that was

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Speaker 1: the you who us is assessment of how Israel may

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Speaker 1: retaliate against Iran. A lot that's interesting there. Both the

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Speaker 1: substance of the documents, also details about, you know, our

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Speaker 1: relationship with Israel and the media's relationship to reporting on

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Speaker 1: these type of leak documents. So Ken will join us

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Speaker 1: to break all of that down.

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Speaker 2: Yeah, it's going to be a great show today. Make

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Speaker 2: sure you go ahead and subscribe Breakingpoints dot Com. You're

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Speaker 2: going to get access to part of our conversation with Logan.

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Speaker 2: That's what you guys get, as well as the show

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Speaker 2: Early Ama, etc. I think we're going to be doing

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Speaker 2: that tomorrow, So go ahead and subscribe Breakingpoints dot Com.

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Speaker 2: Become a premiumbscriber. But let's get to Logan joining us

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Speaker 2: now is Logan Phillips. Great to see you, sir, our

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Speaker 2: exclusive partner here at Breakingpoints. Always glad to have you.

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Speaker 5: He always great to be on.

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Speaker 3: Awesome.

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Speaker 2: All right, let's talk a little bit about the early vote.

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Speaker 2: So some interesting analysis that we flagged on ABC News

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Speaker 2: want to get your reaction to.

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Speaker 3: Let's go ahead and take a listen.

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Speaker 6: Based on the likely partisanship of the voters that we've

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Speaker 6: seen so far, we're seeing more Republicans as a share

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Speaker 6: of the electorate than Democrats. Take a look at that

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Speaker 6: four years ago than the third, only thirty two percent

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Speaker 6: of people that had voted so far were Republicans. That's

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Speaker 6: up six points so far this cycle. Now that could

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Speaker 6: be a sign of enthusiasm among Republicans. That could because

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Speaker 6: Donald Trump is sometimes at least supporting early voting, and

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Speaker 6: it may be that these are voters they're going to

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Speaker 6: vote anyway on election day. But the bottom line is

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Speaker 6: that people are voting and they're enthusiastic about this race.

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Speaker 6: In Pennsylvania, we've seen Republicans so far ahead of the

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Speaker 6: twenty twenty pace. Again, Democrats are still a larger share

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Speaker 6: of early voters, but there are more Republicans in just

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Speaker 6: about all of the states.

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Speaker 3: We've seen significant votes so far.

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Speaker 2: So that is aggregated data. We also have this we

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Speaker 2: can put up there on the screen. L two is

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Speaker 2: doing a job. They're aggregating all of this early ballots

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Speaker 2: that are actually been returned. So logan, what can we

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Speaker 2: glean from this? I know it's a little bit like alchemy,

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Speaker 2: you're not supposed to dig too much, but this is

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Speaker 2: all we got. These are actual voters that we've got

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Speaker 2: votes like the in the bank. So what do you

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Speaker 2: see so far? That's different and perhaps interesting to you, I.

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Speaker 5: See, the biggest thing is that the American elector is engaged.

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Speaker 5: Twenty twenty saw the biggest turnout in American history. In

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Speaker 5: twenty twenty four, I don't think we're going to reach

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Speaker 5: those levels. Is going to be a lot higher. It

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Speaker 5: makes sense when someone votes once, they're a lot more

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Speaker 5: likely to vote a second time.

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Speaker 3: Right, good point.

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Speaker 1: So you don't think it will reach twenty twenty four levels,

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Speaker 1: but it will be I mean twenty twenty levels, but

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Speaker 1: it will be higher than say, twenty sixteen in previous elections.

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Speaker 5: That's what I think. I can't say it should be

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Speaker 5: number two, but I think it's going to be high

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Speaker 5: up there.

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Speaker 1: So I heard someone making the case for actually digging

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Speaker 1: into the early voting data, because I know traditionally averyone says, listen,

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Speaker 1: you can't really read too much into this. On the

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Speaker 1: other hand, post COVID, you do have such a large

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Speaker 1: share of the electorate that are actually voting, and given

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Speaker 1: the fact that you've had polling misses in a variety

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Speaker 1: of different directions, isn't there actually a case for taking

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Speaker 1: seriously you know who is actually turning out and trying

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Speaker 1: to glean from that. Okay, we know the Democratic strategies

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Speaker 1: really to excite young women. We know the Republican strategies

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Speaker 1: try to turn out some of these infrequent voters, especially

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Speaker 1: among young men. Can't we glean from this whether they're

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Speaker 1: being successful in some of those strategies or not.

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Speaker 5: Yeh, as long as you do fair amount of caution,

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Speaker 5: because you know normally the stuff I use. For example,

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Speaker 5: I can go back to the nineteen sixties and say, hey,

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Speaker 5: this is how accurate it is. Right, you were kind

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Speaker 5: of flying by the seat of our pants and everyone.

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Speaker 5: If you come in with any sort of bias, you're

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Speaker 5: going to be looking for the things that support your side,

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Speaker 5: or if you're cynical, the things that go against your side, right,

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Speaker 5: and they're going to stand out to you. Yeah, So

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Speaker 5: to find like a fair balanced account, like you have

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Speaker 5: to have an absolute mastery level knowledge of a county

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Speaker 5: by county, precinct by precinct what's going on, Like this

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Speaker 5: guy John Ralston, reporter Nevada has right. Most people don't

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Speaker 5: have that, and so you got to be really careful

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Speaker 5: who you listen to here. Well, it's largely yeah, go ahead.

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Speaker 2: No, I was going to say, that's a good segue

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Speaker 2: we actually have Ralston's piece about early voting. Let's go

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Speaker 2: and put that up there please on the screen. So

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Speaker 2: what really he flagged logan was just the major difference

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Speaker 2: in turnout amongst Republicans. Some of the data is quite

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Speaker 2: Striking't believe chrystals you have in front of that.

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Speaker 7: I have it.

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Speaker 1: So Dev's won the mail in ballot in Clark County

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Speaker 1: as they're expected to buy two to one about thirty

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Speaker 1: th eighteen thousand, but they only now have at an

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Speaker 1: eighteen hundred vote lead over the Republicans. Last time they

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Speaker 1: led at the same point we're talking about after one day.

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Speaker 1: So keep in mind this is after one day. But

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Speaker 1: last time after one day they had a forty.

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Speaker 4: Thousand vote lead, and this time they have an.

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Speaker 1: Eighteen hundred vote lead. So he's flagging that as potentially

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Speaker 1: very significant and goes on to say, if, as expected,

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Speaker 1: there's a five point or so Republican turnout edge after

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Speaker 1: election day, that means Democrats will have to win Independence

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Speaker 1: by somewhere around five points to win the state, which

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Speaker 1: is roughly what Biden won independence by. He won Independence

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Speaker 1: by six points in twenty twenty, but that was twenty twenty.

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Speaker 4: That was Joe Biden.

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Speaker 1: This is Kamala Harris, your response to mister Ralston, who

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Speaker 1: everybody does feel like has earned his credibility in the

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Speaker 1: early vote analysis arena.

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Speaker 5: He's like the only guy trusting this stuff. I would

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Speaker 5: say it is a mildly good sign for Republicans. He's

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Speaker 5: very hard for us to know what's going to happen

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Speaker 5: on election day. It's also expected, I don't mean specifically

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Speaker 5: in the dividen numbers, but absolutely expected Republicans to vote

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Speaker 5: a higher share because one Donald Trump was warning everyone

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Speaker 5: out to do it, Democrats were encouraging everyone to do it,

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Speaker 5: and Democrats disproportionately care were viewed COVID as a bigger threat,

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Speaker 5: and therefore we're using vote by mail and voting at

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Speaker 5: much higher rates than Republicans. So it was never going

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Speaker 5: to be repeated to the same degree. Twenty twenty is

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Speaker 5: going to be the biggest key you will probably ever have.

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Speaker 1: Yeah, the biggest distance between the two parties in terms

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Speaker 1: of the modes of voting exactly. So to go back

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Speaker 1: to that first SoundBite that we played with what was

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Speaker 1: at ABC talking about how there's maybe a ten point

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Speaker 1: margin that Republicans have closed the gap between Democrats. That

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Speaker 1: doesn't strike you as particularly significant given that twenty twenty

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Speaker 1: was such an anomalous year with COVID.

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Speaker 5: Yeah, I would say it' slightly get used Republicans, but

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Speaker 5: how much it's hard to say. I mean, if you

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Speaker 5: think about it like this, right, if you're looking at

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Speaker 5: the twenty twenty vote, we would think Democrats were heading

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Speaker 5: towards a massive landside, which is what the poll suggested too,

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Speaker 5: because they were had so many votes early. But then

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Speaker 5: Trump arguably had to even better turnout on election day

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Speaker 5: than Dems did. Democrats just won the swing voters and

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Speaker 5: that's why they won the election.

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Speaker 4: Yeah, very narrowly.

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Speaker 2: Yeah, I mean, if we look a little bit at

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Speaker 2: the highly engaged populace, can we put what is it

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Speaker 2: a two please up on the screen? Because I was

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Speaker 2: looking at that Crystal and I really struck out to

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Speaker 2: us that if you look at that sixty five plus

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Speaker 2: number of old people like to vote early, they certainly do.

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Speaker 2: You got a lot of ballots that have been returned.

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Speaker 2: It's also pretty white. You got sixty seven percent there

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Speaker 2: people who are white. If you look at the gender

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Speaker 2: gap though, and that was I was like, maybe it

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Speaker 2: could be a good sign for Democrats. You've got what

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Speaker 2: is it, fifty four percent of early voters who are women,

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Speaker 2: So that could certainly be good considering this is going

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Speaker 2: to be one of the larger gender gap elections, or

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Speaker 2: at least that's what it's currently projected. So can you

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Speaker 2: give us the bull and the bar case for both

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Speaker 2: parties within this at least?

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Speaker 3: Yeah?

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Speaker 5: I think both caase Republicans is they're turning us some

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Speaker 5: of their votes early. That means they could focus on

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Speaker 5: the other voters swing selection day, right. Bothcase for Dems

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Speaker 5: is that they're doing a great job of turning out

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Speaker 5: black voters in major cities. Atlanta Democrats have been very

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Speaker 5: happy about what they've seen with really you know, I've

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Speaker 5: heard good things from my friends. Yeah who the Democratic

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Speaker 5: side of Milwaukee.

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Speaker 1: Yeah, similar in Michigan. I think Detroit has had one

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Speaker 1: of the highest turnout rates, if not the highest turnout

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Speaker 1: rate in the state of Michigan. So yeah, like you said,

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Speaker 1: there's kind of something for everybody to take a look

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Speaker 1: at and be like, Yay, we're doing our thing right exactly.

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Speaker 1: All right, let's go and put a four up on

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Speaker 1: the screen. You mentioned that the one thing we can

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Speaker 1: clearly say is that voters are quite engaged and turnout

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Speaker 1: will be relatively high. In North Carolina, Day one early

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Speaker 1: voting set another record, narrowly beating out I think the

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Speaker 1: twenty twenty was the previous record.

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Speaker 4: They say there was no clear partisan edge.

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Speaker 1: This is also obviously really significant because North Carolina, Western

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Speaker 1: North Carolina was just walloped by Hurricane Helene. People still

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Speaker 1: digging out, still recovering. So it's good to see so

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Speaker 1: many folks being able to turn out to the polls here.

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Speaker 1: But one of the things I wanted to ask you about,

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Speaker 1: Logan is one of the theories is that Republicans are relying

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Speaker 1: on these less frequent voters to turn out, and so

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Speaker 1: in prior election cycles you might have said, Okay, high

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Speaker 1: turnout probably means that's good for Democrats. We can't necessarily

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Speaker 1: say that anymore. In fact, it could very well be

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Speaker 1: the reverse.

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Speaker 5: It could very well be the reverse. I think that's

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Speaker 5: the thing about these elections. We have this crystal clear

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Speaker 5: image of what the election is supposed to be, and

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Speaker 5: then the election actually happens and there's going to be

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Speaker 5: some real differences. We have those narratives that go on

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Speaker 5: for months and so it kind of makes us view

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Speaker 5: it through a prism. In twenty sixteen, Boy, did people

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Speaker 5: under count the voters who supported Trump, who were white

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Speaker 5: and didn't have a college education, blue collar who turned

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Speaker 5: on in big numbers. And you know, for Democrats, President

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Speaker 5: Obama was incredibly successful getting none why voters and young

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Speaker 5: voters out who didn't historically vote before. So we didn't

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Speaker 5: necessarily know what it's going to be right there. It

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Speaker 5: really depends on who those people are right that end

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Speaker 5: up turning out. And I haven't seen enough analysis on this,

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Speaker 5: but I'm also curious with the early vote, how many

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Speaker 5: of these are people that haven't voted before?

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Speaker 3: Yes, such a key point.

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Speaker 2: Well, this is part of the problem with early voter

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Speaker 2: and even state by state is they don't necessarily break

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Speaker 2: it down all the time. You know, we're lucky when

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Speaker 2: we even get partisan identification. So some of them is

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Speaker 2: just demographic or sometimes early ballots requested versus return. So

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Speaker 2: in the swing states? Do we have early voting now

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Speaker 2: in all of the swing states that is opened? So

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Speaker 2: will we get more data in this week? How should

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Speaker 2: we look for the week going forward?

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Speaker 5: I believe so ye, one hundred percent. Soon I know,

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Speaker 5: we definitely haven't started in Georgia. Yeah, North Carolina, Pennsylvania, Wisconsin, Michigan.

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Speaker 5: So yeah, I guess they just don't know about Arizona, if.

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Speaker 3: The gos right. Pretty interesting, interesting.

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Speaker 1: Certainly absolutely all right, let's turn to how the parties

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Speaker 1: are making their closing pitch. Premium subscribers. That's going to

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Speaker 1: be posted for you guys exclusively now. Everybody else will

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Speaker 1: get it for free later in the week, but definitely

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Speaker 1: subscribe if you want to hear what Logan has to

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Speaker 1: say about the closing pitch that both of the parties

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Speaker 1: are making. So we found this really fascinating. Put this

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Speaker 1: up on the screen.

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Speaker 2: Donald Trump took to the campaign trail yesterday. He started

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Speaker 2: to work at McDonald's. Quite a few meme tastic moments

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Speaker 2: that came out of it. Let's take a listen.

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Speaker 8: I'm going for a job right now at McDonald's.

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Speaker 3: I've had I really.

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Speaker 9: Wanted to do this all my Life's.

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Speaker 10: A wealthy guy. He owns a lot of McDonald's.

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Speaker 9: That's great, thank you. I like every ounce and everything.

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Speaker 4: But I do like the French rise.

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Speaker 3: Who I'll be working?

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Speaker 10: I listened to Kamale.

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Speaker 6: She said it was so hot.

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Speaker 9: It was so hot. It was such a tough job.

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Speaker 8: But till you have a man that's been doing it

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Speaker 8: for many years of the French.

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Speaker 9: French by a human head, nice and clean.

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Speaker 3: My hands are nice and king.

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Speaker 9: This guy's a good instructor.

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Speaker 1: I appreciate it.

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Speaker 9: I'm going to give a really big one. So that

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Speaker 9: was pouring out of the good looking family. How did

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Speaker 9: you produce those good looking kids? Oh, they look like

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Speaker 9: the they look like them. How are you nice to

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Speaker 9: see you? That's way? Thank you, I mean appreciate, thank you,

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Speaker 9: thank you. It's an amazing business, it's an amazing gun change,

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Speaker 9: and it's gonna make American greater than ever.

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Speaker 3: I mean, you know, what do you even say about that?

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Speaker 3: It's pretty extraordinary. Yeah.

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Speaker 2: So what I saw Crystal was that in the back

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Speaker 2: of his head for years, he's wondered, do they get

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Speaker 2: their grubby hands on my fries? And so he finally

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Speaker 2: found it was like a moment of clarity for him

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Speaker 2: to see that nobody touched him.

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Speaker 3: But I mean, look, meme wise, come on that it's everywhere.

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Speaker 2: It's it's one of the biggest campaign photos, I would say,

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Speaker 2: outside of the assassination photo.

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Speaker 3: I've seen that one spread like wildfire. Yeah, you know,

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Speaker 3: literally everywhere. Look there you go.

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Speaker 4: I might hate the man. This is a brilliant bit

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Speaker 4: of political theater.

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Speaker 3: It is.

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Speaker 1: I mean, you know, we'll get to the substance the

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Speaker 1: fact that I won't brace them, that I'm wage that

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Speaker 1: during his administration he undercut the ability of workers like

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Speaker 1: these ones to be able to organize. But just on

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Speaker 1: the level of like pure political theater. Yeah, he positions

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Speaker 1: himself as like the working class fans billionaire. There he

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Speaker 1: is working at McDonald's. It's also like a nice stop

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Speaker 1: to the base. He didn't talk too much about this,

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Speaker 1: but he got this in somewhat. He doesn't believe that

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Speaker 1: Kamala ever actually worked at McDonald's, so it's like throwing

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Speaker 1: some red meat to the base as well. I mean,

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Speaker 1: what can you say? The man has an authentic love

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Speaker 1: for McDonald's food. Do you definitely know that much?

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Speaker 3: It's true.

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Speaker 2: Let me allow me to read Andy Warhol quote apparently

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Speaker 2: from the nineteen sixties, says, I always thought the president

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Speaker 2: would do so much to help change images. If president

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Speaker 2: would go to a public bathroom in the Capitol and

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Speaker 2: have TV cameras film him cleaning the toilets and saying,

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Speaker 2: why not, somebody's got to do it. It would do

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Speaker 2: so much for the morale of the people who would

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Speaker 2: do wonderful job of keeping the toilets clean.

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Speaker 3: It's a wonderful thing that they're doing.

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Speaker 2: So people were like, oh, this is the Trump's apotheosis

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Speaker 2: of Andy Warhol political theory that was going around. I

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Speaker 2: don't think it's that deep. It's like you said, I mean,

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Speaker 2: really what it is? And I saw a friend of mine,

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Speaker 2: Reuben on Twitter, made an interesting point, I'm curious what

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Speaker 2: you think is that Trump's camp actively helps to dispense

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Speaker 2: a lot of the negative imagery of him by Democrats,

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Speaker 2: as in, it's very hard to imagine like a Trump

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Speaker 2: dictator when he's also like McDonald's just serving fries.

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Speaker 3: And I thought that actually might be the most astute

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Speaker 3: part of it.

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Speaker 2: We're about to show the whole Arnold Palmer thing, but like,

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Speaker 2: there's something hilarious about a guy talking about Arnold Palmer's

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Speaker 2: penis and working at McDonald's, you know, and obviously having

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Speaker 2: the time of his life that dispels this, like, oh,

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Speaker 2: Trump was going to do all these X, Y and

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Speaker 2: Z bad things and I was like, you know, that

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Speaker 2: might be probably the best like analytical framework for why

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Speaker 2: this stuff matters at all.

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Speaker 3: I think that's true.

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Speaker 1: I think that's correct because not only the McDonald's thing,

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Speaker 1: but I mean that's the part of the podcast strategy,

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Speaker 1: like the bro strategy is aimed at a specific voting

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Speaker 1: demographic group, but part.

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Speaker 4: Of it is also just to you.

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Speaker 1: Know, humanize, humanize him and make him seem like he's

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Speaker 1: one of the guys that can just hang out.

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Speaker 4: And then it makes it.

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Speaker 1: Hard for you to take seriously, even though you should

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Speaker 1: take seriously. Sagur and I had a whole debate about this,

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Speaker 1: but you know, his enemy within I want to call

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Speaker 1: out the military against them comments it makes it easier

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Speaker 1: for people to just kind of handwave that away. And

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Speaker 1: I think between those efforts and the multiple assassination attempts,

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Speaker 1: I do think that's part of why his favorability rating

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Speaker 1: is so much higher now than it's really ever been

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Speaker 1: before in politics. And you know, I think that's a

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Speaker 1: very important part of why he has such a strong

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Speaker 1: chance of ultimately winning the selection. You know, the other

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Speaker 1: thing that I saw is, you know, it is worth

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Speaker 1: pointing out if people didn't know that this obviously was

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Speaker 1: like stage in the cars preselected and of course and

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Speaker 1: all of that. But it's like, of course, like you

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Speaker 1: think they're just going to let random people go through

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Speaker 1: the drive through with Donald Trump there, I mean, so

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Speaker 1: the security could of course, it was a stage campaign

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Speaker 1: of waiting.

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Speaker 2: People were like, wait, just so you know stage, Yes,

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Speaker 2: the president can't go anywhere.

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Speaker 1: I know, I know, but I mean, I mean, I

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Speaker 1: do think there were people who thought these were like

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Speaker 1: authentic exchanges that the drive through as well, but just

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Speaker 1: for anyone out there who needed to know, yes, it

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Speaker 1: was a stage campaign event, because of course it was

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Speaker 1: a stage campaign event, like very obviously, do you think you.

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Speaker 2: Can interact with the president or the forum president on

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Speaker 2: the campaign trail after an assassination attempt and not be

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Speaker 2: pre screened by secret service?

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Speaker 3: How could?

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Speaker 11: How?

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Speaker 2: When what scenario would some random be able to roll

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Speaker 2: up to McDonald's and get their order.

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Speaker 3: From Donald Trump? What if they had a gun? That's nuts.

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Speaker 1: Yeah, So anyway, it was not just like random voters

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Speaker 1: who were there being like maga, we love you. These

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Speaker 1: were pre screen people by the campaign, et cetera, et cetera.

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Speaker 1: Just so everyone understands that's the reality of how campaigns work.

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Speaker 4: There were a couple of questions that he was.

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Speaker 1: Asked that ended up being relevant, especially I thought the

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Speaker 1: best question was about, you know, would you raise them

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Speaker 1: in the wage and he won't say yes.

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Speaker 4: He also got asked a question.

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Speaker 1: About you know, will you will you accept the results

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Speaker 1: of the election, and he won't really commit to that either.

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Speaker 1: So let's take a listen to those exchanges on wag

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Speaker 1: should be raised.

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Speaker 4: Well, I think this.

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Speaker 9: I think these people work hard, they're great.

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Speaker 4: And I just saw something you process. It's beautiful.

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Speaker 9: It's a beautiful thing to see. These are great franchises

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Speaker 9: and produce a lot of jobs, and it's good and

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Speaker 9: great people working here too.

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Speaker 4: Leading for you, Yes either way. Will you accept the

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Speaker 4: results of the election?

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Speaker 9: Yeah, sure, if it's a fair election.

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Speaker 1: Always I would always accept.

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Speaker 9: Different ways to be a fair election. We're leading in

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Speaker 9: all the balls, then we're leading in every swing state,

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Speaker 9: doing well, and it's now and I.

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Speaker 5: Think so think so.

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Speaker 4: In fact, I just had an RCP.

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Speaker 9: I said, you're ninety three point percent chance of winning,

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Speaker 9: and I think that's pretty good.

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Speaker 4: So if it's a fair election, Hill support it.

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Speaker 1: Also, you we're going to talk tomorrow about polymarket and

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Speaker 1: the way that that the numbers there have been juiced

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Speaker 1: by basically one or potentially for four.

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Speaker 4: Yeah, well, well there are.

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Speaker 3: Some intentions one, but yeah, that it.

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Speaker 4: May be one bord of it in any case.

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Speaker 1: And then you know, and you can see how this

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Speaker 1: is useful to Trump in terms of and then he

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Speaker 1: points to you know this, I don't know what he

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00:18:56,280 --> 00:18:58,000
Speaker 1: was pointing to, says we have a ninety three percent

442
00:18:58,080 --> 00:19:00,560
Speaker 1: chance of winning. And this is what he did last

443
00:19:00,600 --> 00:19:04,280
Speaker 1: time too. Is especially he used that red mirage effect

444
00:19:04,280 --> 00:19:06,200
Speaker 1: where it looked like Republicans were winning early in the

445
00:19:06,280 --> 00:19:08,439
Speaker 1: night to say like it must have been stolen, and

446
00:19:08,480 --> 00:19:10,359
Speaker 1: he's already laying some of the groundwork for that.

447
00:19:10,440 --> 00:19:10,600
Speaker 3: Now.

448
00:19:10,640 --> 00:19:12,080
Speaker 1: Of course he has a very good chance of winning

449
00:19:12,080 --> 00:19:15,320
Speaker 1: the election outright, but this is also laying the groundwork

450
00:19:15,359 --> 00:19:17,280
Speaker 1: for if he doesn't get a result that he if

451
00:19:17,280 --> 00:19:19,880
Speaker 1: he doesn't get the result that he wants, saying, look

452
00:19:19,880 --> 00:19:22,320
Speaker 1: at polymarket, look at this analysis. This that I had

453
00:19:22,320 --> 00:19:24,840
Speaker 1: a ninety three percent chance of winning wherever that comes from.

454
00:19:25,080 --> 00:19:26,480
Speaker 4: And of course, of course.

455
00:19:26,240 --> 00:19:28,280
Speaker 1: It had to have been stolen because I was I

456
00:19:28,359 --> 00:19:30,280
Speaker 1: was a lock, I was ashoe in So you're that

457
00:19:30,359 --> 00:19:33,600
Speaker 1: rhetoric and then of course you know can't even commit

458
00:19:33,680 --> 00:19:35,320
Speaker 1: to raising the minimum wage.

459
00:19:35,480 --> 00:19:36,960
Speaker 4: This is the guy who made you.

460
00:19:37,000 --> 00:19:41,320
Speaker 1: Guys may remember Andy Puster, the former CEO of Hardy's,

461
00:19:41,359 --> 00:19:45,520
Speaker 1: the labor secretary who was like horrible for workers' rights,

462
00:19:45,600 --> 00:19:47,960
Speaker 1: both in his capacity as the CEO of Hardy's but

463
00:19:47,960 --> 00:19:51,280
Speaker 1: also in his capacity of labor secretary. So on the substance,

464
00:19:51,320 --> 00:19:53,520
Speaker 1: obviously I think he's a total fraud. But again on

465
00:19:53,560 --> 00:19:55,399
Speaker 1: the political theater, I think it's a major win for

466
00:19:55,400 --> 00:19:55,680
Speaker 1: as well.

467
00:19:55,680 --> 00:19:55,840
Speaker 11: Well.

468
00:19:55,880 --> 00:19:57,679
Speaker 3: Look, one of the lessons is that people don't care

469
00:19:57,680 --> 00:19:58,239
Speaker 3: about that, right.

470
00:19:58,320 --> 00:20:00,399
Speaker 2: Unfortunately, we live in a world where people or like

471
00:20:00,440 --> 00:20:02,560
Speaker 2: you've got more people who are voting Trump or at

472
00:20:02,640 --> 00:20:05,880
Speaker 2: least seem to be voting Trump pro Trump who are

473
00:20:06,000 --> 00:20:09,440
Speaker 2: low wage workers and or unions, mostly on the issue

474
00:20:09,640 --> 00:20:10,480
Speaker 2: of immigration.

475
00:20:11,560 --> 00:20:13,120
Speaker 3: And look, I've said this before too.

476
00:20:13,400 --> 00:20:15,639
Speaker 2: For Republicans, all you have to do is look at

477
00:20:15,640 --> 00:20:18,560
Speaker 2: the minimum wage numbers that passed. It was at twenty twenty.

478
00:20:18,880 --> 00:20:21,360
Speaker 2: I think it was a super majority. I want to say,

479
00:20:21,440 --> 00:20:24,359
Speaker 2: in the state of Florida that passed fifteen dollars minimum

480
00:20:24,440 --> 00:20:27,000
Speaker 2: wage at the same time that Trump won the state

481
00:20:27,040 --> 00:20:30,000
Speaker 2: by three So actually more people both voted for the

482
00:20:30,000 --> 00:20:32,000
Speaker 2: minimum wage and voted for Donald Trump in the state

483
00:20:32,160 --> 00:20:34,320
Speaker 2: of Florida. You can actually have a red state that

484
00:20:34,359 --> 00:20:37,320
Speaker 2: did that. Arkansas, I believe, also raised I think twelve

485
00:20:37,760 --> 00:20:39,960
Speaker 2: dollars an hour. So anyway, if anybody wants to go

486
00:20:40,000 --> 00:20:41,959
Speaker 2: out there and look at the data on all this

487
00:20:42,040 --> 00:20:43,679
Speaker 2: for minimum wage and whether you can be like a

488
00:20:43,720 --> 00:20:46,880
Speaker 2: real Republican, there's plenty of real Republicans out there who

489
00:20:46,960 --> 00:20:48,040
Speaker 2: vote for it all the time.

490
00:20:48,080 --> 00:20:48,720
Speaker 3: So just put that.

491
00:20:48,880 --> 00:20:50,439
Speaker 1: Let me just preview a segment we're going to have

492
00:20:50,480 --> 00:20:54,200
Speaker 1: in the show probably tomorrow with Matt carp from Jackman

493
00:20:54,240 --> 00:20:55,760
Speaker 1: in the Center for Working Class Politics.

494
00:20:55,800 --> 00:20:57,480
Speaker 4: They did a big poll of voters.

495
00:20:57,240 --> 00:21:00,320
Speaker 1: In Pennsylvania, and you know, they have a class so

496
00:21:00,320 --> 00:21:03,000
Speaker 1: they were looking very specifically at number one, what type

497
00:21:03,000 --> 00:21:06,600
Speaker 1: of occupations are people in versus what candidate they're supporting,

498
00:21:06,640 --> 00:21:09,280
Speaker 1: and also where do they fall in terms of income level.

499
00:21:09,640 --> 00:21:13,280
Speaker 1: And what was interesting is actually the lowest wage individuals

500
00:21:13,480 --> 00:21:17,080
Speaker 1: were more Democratics supporters. It was those you know, blue

501
00:21:17,080 --> 00:21:22,000
Speaker 1: collar working class individuals who tended to be strongly in

502
00:21:22,080 --> 00:21:24,560
Speaker 1: the Donald Trump camp. And then if there's also a

503
00:21:24,560 --> 00:21:27,200
Speaker 1: big divide between you know, the sort of like hard

504
00:21:27,200 --> 00:21:29,960
Speaker 1: hat using your hands. Type of blue collar workers versus

505
00:21:29,960 --> 00:21:33,760
Speaker 1: service sector workers tended to be more democratic. So there's

506
00:21:33,800 --> 00:21:37,879
Speaker 1: some some interesting fishers there. But just stay tuned for that,

507
00:21:37,960 --> 00:21:40,520
Speaker 1: because I think looking at some of those numbers, someone

508
00:21:40,520 --> 00:21:44,439
Speaker 1: confirms what you might have suspected, but showed a you know,

509
00:21:44,680 --> 00:21:49,120
Speaker 1: an interesting breakdown between the different class statuses and occupational

510
00:21:49,160 --> 00:21:50,399
Speaker 1: statuses amongst voters.

511
00:21:50,440 --> 00:21:52,000
Speaker 3: Well, that's important, and we talk here.

512
00:21:52,040 --> 00:21:53,960
Speaker 2: I just said low wage work, it doesn't really mean anything,

513
00:21:54,000 --> 00:21:56,080
Speaker 2: you know, in terms of what type of wage what

514
00:21:56,119 --> 00:21:58,600
Speaker 2: you do for a living. There's a big difference actually

515
00:21:58,640 --> 00:22:02,040
Speaker 2: between like the bottom quinn and then the second lowest quintile.

516
00:22:02,359 --> 00:22:05,720
Speaker 2: So that's like people were basically below the poverty line

517
00:22:05,800 --> 00:22:07,640
Speaker 2: and then you've got people flirting with the poverty line

518
00:22:07,680 --> 00:22:11,560
Speaker 2: slash lower to slash lower to middle class. Those are

519
00:22:11,720 --> 00:22:14,879
Speaker 2: very different economic realities. They're very different people buy and

520
00:22:14,960 --> 00:22:17,760
Speaker 2: large for people who like actually work and what type

521
00:22:17,760 --> 00:22:20,359
Speaker 2: of jobs they do, whether they have a permanent career

522
00:22:20,440 --> 00:22:22,520
Speaker 2: or not. So anyway, stay tuned for that. As you said,

523
00:22:22,560 --> 00:22:24,880
Speaker 2: let's get to the Arnold Palmer thing on this one

524
00:22:24,920 --> 00:22:26,639
Speaker 2: took over the airwaves. Let's take a listen.

525
00:22:27,160 --> 00:22:32,520
Speaker 8: This guy, this is a guy that was old man.

526
00:22:33,440 --> 00:22:37,560
Speaker 8: This man was strong and tough, and I refused to

527
00:22:37,600 --> 00:22:41,360
Speaker 8: say it. But when he took showers with the other

528
00:22:41,480 --> 00:22:44,040
Speaker 8: pros they came out of there, they said, oh my god,

529
00:22:47,000 --> 00:22:48,280
Speaker 8: that's unbelievable.

530
00:22:49,520 --> 00:22:52,320
Speaker 3: I had to say it. It was actually longer than that.

531
00:22:53,280 --> 00:22:56,000
Speaker 3: For anyone asking about strategy, there is no strategy. To

532
00:22:56,080 --> 00:22:57,360
Speaker 3: the extent that there is a strategy.

533
00:22:57,359 --> 00:22:59,439
Speaker 2: It goes back to what we were talking about with

534
00:22:59,480 --> 00:23:01,760
Speaker 2: the whole camp and making jokes about it. I mean,

535
00:23:01,800 --> 00:23:04,160
Speaker 2: this thing was all over cable news of a Speaker

536
00:23:04,160 --> 00:23:06,000
Speaker 2: of the House get asked about it.

537
00:23:06,040 --> 00:23:07,800
Speaker 3: I don't know. I don't have anything deeper to say.

538
00:23:07,880 --> 00:23:10,120
Speaker 2: That's the deepest I can go is that the camp

539
00:23:10,119 --> 00:23:12,679
Speaker 2: e er he gets, the more funny or whatever he is,

540
00:23:12,720 --> 00:23:14,960
Speaker 2: the harder it is to imagine him as like some

541
00:23:15,200 --> 00:23:16,800
Speaker 2: dictator who's going to take over the country.

542
00:23:16,800 --> 00:23:18,959
Speaker 4: This is why the weird framing was good for Democrats.

543
00:23:19,119 --> 00:23:21,120
Speaker 3: You think so, yes, I don't even know that's weird.

544
00:23:21,160 --> 00:23:21,879
Speaker 3: I think it's funny.

545
00:23:22,880 --> 00:23:26,359
Speaker 1: I mean, talking like objectively, he talked for like ten

546
00:23:26,400 --> 00:23:29,400
Speaker 1: minutes about Arnold Palmer and then you know, got into

547
00:23:29,480 --> 00:23:32,120
Speaker 1: the sidetrack about the size of a stick. By the way,

548
00:23:32,200 --> 00:23:34,440
Speaker 1: there was a you know, very serious journalist who looked

549
00:23:34,440 --> 00:23:36,480
Speaker 1: into the size of Arnold Palmer stick and says, the

550
00:23:36,480 --> 00:23:41,640
Speaker 1: evidence suggests this is actually false misinformation. Don't they possibly

551
00:23:41,680 --> 00:23:46,280
Speaker 1: get that apparently there was some sex, Yeah, but they

552
00:23:46,280 --> 00:23:47,239
Speaker 1: got a lot.

553
00:23:47,359 --> 00:23:50,120
Speaker 3: Maybe he shorted them. You know, you never know.

554
00:23:50,640 --> 00:23:52,639
Speaker 1: You could do your own investigation if you'd like soccer

555
00:23:52,680 --> 00:23:53,879
Speaker 1: and debunk the debunking.

556
00:23:54,000 --> 00:23:56,000
Speaker 4: I had a Palmer Dick's story.

557
00:23:55,760 --> 00:23:56,240
Speaker 3: As the guy.

558
00:23:56,400 --> 00:23:58,600
Speaker 2: I've been to the Arnold Palmer But can you shout

559
00:23:58,600 --> 00:24:01,760
Speaker 2: out to a restaurant, the Arnold Palmer Restaurant in Palm Springs, California.

560
00:24:01,840 --> 00:24:03,520
Speaker 3: Absolutely fantastic, Highly recommend it.

561
00:24:03,520 --> 00:24:05,160
Speaker 4: But what did you have to say about his guys?

562
00:24:05,160 --> 00:24:07,239
Speaker 3: Well, I'll ask him. I'll next time I go, I'm

563
00:24:07,240 --> 00:24:07,960
Speaker 3: going to ask him.

564
00:24:08,080 --> 00:24:09,880
Speaker 1: In any case, this is part of why I think

565
00:24:09,920 --> 00:24:13,639
Speaker 1: the weird framing that Democrats have kind of abandoned was

566
00:24:14,040 --> 00:24:16,199
Speaker 1: more effective in a sense. I mean, I think you

567
00:24:16,280 --> 00:24:19,119
Speaker 1: have to also lay on that the legitimate dangerous, but

568
00:24:19,119 --> 00:24:20,440
Speaker 1: also people already sort.

569
00:24:20,240 --> 00:24:20,760
Speaker 4: Of feel that.

570
00:24:21,080 --> 00:24:22,919
Speaker 1: But yeah, this is like, this is just kind of

571
00:24:22,920 --> 00:24:25,080
Speaker 1: a weird thing to be talking about a campaign rally

572
00:24:25,160 --> 00:24:27,159
Speaker 1: going on an extended die tribe about a guy that

573
00:24:27,240 --> 00:24:29,360
Speaker 1: died how many years ago this golfer.

574
00:24:29,640 --> 00:24:31,919
Speaker 4: I guess he was from the area where he was

575
00:24:31,920 --> 00:24:34,040
Speaker 4: speaking in or something like that. Is how this armor,

576
00:24:34,160 --> 00:24:35,719
Speaker 4: I don't know. In any case, there you go.

577
00:24:35,760 --> 00:24:38,359
Speaker 1: If it's domind Trump talking about some dude stick for

578
00:24:38,600 --> 00:24:41,160
Speaker 1: an extended period of time whatever, right, well, you.

579
00:24:41,119 --> 00:24:42,800
Speaker 2: Know it's not a first brand me off. Of course,

580
00:24:42,840 --> 00:24:45,800
Speaker 2: Marco Rubio started it. I guess to be fair, that's

581
00:24:45,800 --> 00:24:48,920
Speaker 2: what we have. If you remember from the twenty sixteen campaign.

582
00:24:49,000 --> 00:24:51,280
Speaker 2: At the same time, there was something that the campaign,

583
00:24:51,520 --> 00:24:53,439
Speaker 2: the Harris campaign, has been seizing on. Let's put this

584
00:24:53,560 --> 00:24:57,000
Speaker 2: up there on the screen. This was a report from

585
00:24:57,000 --> 00:25:00,199
Speaker 2: Politico and it said, quote an exhausted Trump said know

586
00:25:00,640 --> 00:25:04,400
Speaker 2: to another interview. So they highlighted and we talked about

587
00:25:04,440 --> 00:25:06,920
Speaker 2: this as well. Trump had planned sit downs with NBC

588
00:25:07,040 --> 00:25:09,639
Speaker 2: in Philadelphia, squakbox and sixty minutes.

589
00:25:10,320 --> 00:25:11,440
Speaker 3: Why does it keep happening?

590
00:25:11,720 --> 00:25:14,919
Speaker 2: The Trump campaign had backed out of a couple In response,

591
00:25:15,119 --> 00:25:19,440
Speaker 2: a Trump advisor apparently told the Shade Room producers, that's

592
00:25:19,440 --> 00:25:24,080
Speaker 2: one of those black audience. We showed a clip for everybody. Yeah,

593
00:25:24,240 --> 00:25:27,320
Speaker 2: from that where they said he quote was exhausted and

594
00:25:27,359 --> 00:25:30,639
Speaker 2: refused some interviews. But that could change at any time.

595
00:25:31,240 --> 00:25:33,159
Speaker 2: So yeah, I mean you could take from that what

596
00:25:33,200 --> 00:25:34,960
Speaker 2: it is. They don't name the person, but I do

597
00:25:35,040 --> 00:25:37,080
Speaker 2: certainly think it's a I don't know. I mean, there's

598
00:25:37,080 --> 00:25:39,119
Speaker 2: been a lot of I've seen Democrats try to rehab

599
00:25:39,160 --> 00:25:43,560
Speaker 2: the whole like Trump Age conversation, and this really shows me.

600
00:25:43,840 --> 00:25:45,800
Speaker 2: I've been trying to do some retrospectives in my head.

601
00:25:45,800 --> 00:25:47,639
Speaker 2: I'm like, well, what does it mean if Biden or

602
00:25:47,680 --> 00:25:51,000
Speaker 2: sorry I Kamala loses, if Trump loses. And I've been

603
00:25:51,080 --> 00:25:54,200
Speaker 2: really thinking about how much damage we almost have memory

604
00:25:54,200 --> 00:25:56,920
Speaker 2: hold it that the Biden remaining in the race really

605
00:25:56,960 --> 00:25:59,159
Speaker 2: did to the Democratic ticket. And I think that that

606
00:25:59,280 --> 00:26:02,440
Speaker 2: conversation age would be so dramatically different if there had

607
00:26:02,440 --> 00:26:04,920
Speaker 2: been a real primary on the Democratic side and if

608
00:26:04,920 --> 00:26:08,080
Speaker 2: Biden had dropped out earlier. And you know, so much

609
00:26:08,119 --> 00:26:10,120
Speaker 2: of this We're going to talk a lot about Harris's failures,

610
00:26:10,119 --> 00:26:12,159
Speaker 2: et cetera, if she does lose, but I mean, so

611
00:26:12,240 --> 00:26:14,200
Speaker 2: much of this is on Biden man to wait until

612
00:26:14,200 --> 00:26:17,119
Speaker 2: the last minute to drop out. No real democratic process

613
00:26:17,240 --> 00:26:20,479
Speaker 2: anointed Kamala ninety day sprint to the campaign trail, and

614
00:26:20,560 --> 00:26:23,040
Speaker 2: the age, I mean, he nuked the vibe for the

615
00:26:23,040 --> 00:26:25,440
Speaker 2: country for three and a half years, Like you can't

616
00:26:25,440 --> 00:26:27,560
Speaker 2: really get over that. So I really think that a

617
00:26:27,560 --> 00:26:31,639
Speaker 2: lot of this like retrospective Trump age conversation is just nuked.

618
00:26:31,920 --> 00:26:34,560
Speaker 2: With so much of the populace, they have not forgotten

619
00:26:34,600 --> 00:26:37,280
Speaker 2: what the Biden conversation looked like at that time, so

620
00:26:37,280 --> 00:26:38,680
Speaker 2: they don't want to hear it. You know, they were

621
00:26:38,720 --> 00:26:39,960
Speaker 2: comparatively strong, right.

622
00:26:40,359 --> 00:26:42,879
Speaker 1: I think that it's that comparison that's important. And I

623
00:26:42,880 --> 00:26:45,199
Speaker 1: do think this is important conversation because I mean, he

624
00:26:45,280 --> 00:26:47,639
Speaker 1: is almost he's seventy eight. Yeah, he's going to be

625
00:26:47,680 --> 00:26:49,959
Speaker 1: eighty years old in you know, less than two years.

626
00:26:50,080 --> 00:26:52,200
Speaker 1: Like this is an old man. No one should fool

627
00:26:52,280 --> 00:26:56,159
Speaker 1: themselves about that. He will be the oldest person to

628
00:26:56,200 --> 00:26:59,080
Speaker 1: take the office in history. He's older than Joe Biden

629
00:26:59,240 --> 00:27:01,679
Speaker 1: was when Biden, you know, was sworn in back in

630
00:27:01,880 --> 00:27:04,840
Speaker 1: early twenty twenty one. So, you know, it is an

631
00:27:04,840 --> 00:27:07,399
Speaker 1: important substantive conversation. But I agree with you, Saga, I

632
00:27:07,400 --> 00:27:09,439
Speaker 1: don't think it really moves the needle because you know,

633
00:27:09,480 --> 00:27:12,040
Speaker 1: in contrast to Biden, he seems so much more vigorous,

634
00:27:12,080 --> 00:27:15,280
Speaker 1: et cetera. And even as he has legitimately bailed on

635
00:27:15,480 --> 00:27:18,480
Speaker 1: a bunch of interviews, you know, obviously didn't do another debate,

636
00:27:18,520 --> 00:27:20,959
Speaker 1: bailed on that sixty minutes interview, bailed on some kind

637
00:27:20,960 --> 00:27:22,320
Speaker 1: of a town hall such a way like there have

638
00:27:22,359 --> 00:27:24,680
Speaker 1: been a bunch of things, and you get his campaign

639
00:27:24,760 --> 00:27:27,520
Speaker 1: even saying like the dude's exhausted, but he's still out

640
00:27:27,520 --> 00:27:29,480
Speaker 1: there doing a bunch of stuff. So I don't think

641
00:27:29,480 --> 00:27:32,080
Speaker 1: people have the sense of like, oh, he's exhausted and

642
00:27:32,119 --> 00:27:34,440
Speaker 1: he you know, can barely function, et cetera, the way

643
00:27:34,480 --> 00:27:37,280
Speaker 1: that it was very manifestly clear with Joe Biden. So

644
00:27:37,720 --> 00:27:40,080
Speaker 1: you know, if Trump wins, I think this will be

645
00:27:40,119 --> 00:27:43,080
Speaker 1: an extremely important storyline because I do think there are

646
00:27:43,119 --> 00:27:47,000
Speaker 1: some signs of decline and age fatigue in all of that.

647
00:27:47,119 --> 00:27:49,159
Speaker 1: I mean, you know, time's a bit like he is

648
00:27:49,200 --> 00:27:51,399
Speaker 1: getting older. He is an old man, that is reality,

649
00:27:51,400 --> 00:27:54,160
Speaker 1: and not a particularly healthy one either. So I think

650
00:27:54,480 --> 00:27:56,280
Speaker 1: if he wins, it will probably be an important next

651
00:27:56,320 --> 00:27:58,119
Speaker 1: four year story. Do I think it's moving a lot

652
00:27:58,160 --> 00:27:59,480
Speaker 1: of people in terms of the polls?

653
00:28:00,119 --> 00:28:01,959
Speaker 4: Doubt it, But you never know.

654
00:28:02,200 --> 00:28:04,440
Speaker 1: We may look back after election day and say, hey,

655
00:28:04,480 --> 00:28:07,359
Speaker 1: people decided like, hey, maybe we shouldn't vote for another

656
00:28:07,520 --> 00:28:10,960
Speaker 1: really super old guy and went with Kamlin part because

657
00:28:11,000 --> 00:28:13,320
Speaker 1: she is she just turned sixty, you know, which is

658
00:28:13,720 --> 00:28:16,439
Speaker 1: and she seemed vital and whatever for her age. So

659
00:28:17,000 --> 00:28:19,360
Speaker 1: who the hell knows at this point, But I tend

660
00:28:19,440 --> 00:28:22,280
Speaker 1: to agree with you in that analysis. And also I

661
00:28:22,320 --> 00:28:24,400
Speaker 1: do think we can't lose sight of the fact that

662
00:28:25,200 --> 00:28:29,920
Speaker 1: because Democrats were so terrified of an actual democratic process,

663
00:28:30,040 --> 00:28:31,240
Speaker 1: they really screwed themselves.

664
00:28:31,560 --> 00:28:34,640
Speaker 4: Now many of us, some of us were saying that.

665
00:28:34,960 --> 00:28:38,040
Speaker 1: Along, right and arguing that they would be better off

666
00:28:38,480 --> 00:28:42,440
Speaker 1: if they had an actual democratic primary process from the beginnings,

667
00:28:42,480 --> 00:28:45,400
Speaker 1: they took seriously the competitors who did come into that

668
00:28:45,520 --> 00:28:47,959
Speaker 1: race to challenge Joe Biden if they had, you know,

669
00:28:48,040 --> 00:28:50,440
Speaker 1: not just totally put the kebash on any of the

670
00:28:51,200 --> 00:28:53,760
Speaker 1: we're leading democratic policies, to the Gretchen Whimer's, the Gavin

671
00:28:53,760 --> 00:28:57,440
Speaker 1: Newsom's whatever, entering that process, and then even failing that,

672
00:28:57,800 --> 00:29:00,360
Speaker 1: coming down to it, when they pushed Biden out doing

673
00:29:00,400 --> 00:29:03,400
Speaker 1: what Pelosi and Obama reportedly wanted them to do, but

674
00:29:03,440 --> 00:29:05,520
Speaker 1: didn't expend any effort to force them in this direction,

675
00:29:05,560 --> 00:29:08,080
Speaker 1: which was to at least have like a contested convention

676
00:29:08,160 --> 00:29:10,560
Speaker 1: where you have people making speeches and making their cases.

677
00:29:10,960 --> 00:29:13,920
Speaker 1: Because Kamala Harris is not the strongest competitor. I think

678
00:29:13,960 --> 00:29:17,160
Speaker 1: everyone knew that on the Democratic side going in, but

679
00:29:17,240 --> 00:29:19,640
Speaker 1: they rather just sort of default to her to avoid

680
00:29:20,000 --> 00:29:22,960
Speaker 1: I guess, ruffling various feathers because it was the path

681
00:29:23,000 --> 00:29:25,800
Speaker 1: of least resistance at that point, and now they're in

682
00:29:25,800 --> 00:29:29,000
Speaker 1: an extremely precarious position, really truly of their own makings.

683
00:29:29,000 --> 00:29:29,480
Speaker 3: Absolutely know.

684
00:29:29,480 --> 00:29:31,959
Speaker 2: I've been watching some swing state tape from the governors,

685
00:29:32,000 --> 00:29:34,560
Speaker 2: because all the de governors have been going through. Gavin

686
00:29:34,760 --> 00:29:38,320
Speaker 2: is so good on the stump it's unbelievable. As people know,

687
00:29:38,400 --> 00:29:40,280
Speaker 2: I'm not a fan of Gavin Newsom. There's a lot

688
00:29:40,320 --> 00:29:42,320
Speaker 2: I could say about the guy, but he's a talented

689
00:29:42,360 --> 00:29:44,160
Speaker 2: politician man, and if he had fought for it, I

690
00:29:44,160 --> 00:29:46,680
Speaker 2: think he would have won. I certainly do Shapiro, Obviously,

691
00:29:46,720 --> 00:29:49,240
Speaker 2: I still think the whole Obama thing is really annoying.

692
00:29:49,280 --> 00:29:51,600
Speaker 2: But he's a swing state governor. He won by thirteen points. Okay,

693
00:29:51,600 --> 00:29:54,000
Speaker 2: you can't look past that, even waltst Frankly, I think

694
00:29:54,040 --> 00:29:57,280
Speaker 2: he's a better politician than Kamali Marris, definitely, no doubt

695
00:29:57,280 --> 00:30:01,360
Speaker 2: about it. Gretchen Whitmer, she is so utterly cringeworthy to me.

696
00:30:01,560 --> 00:30:04,400
Speaker 2: She's talented. Whenever she started doing an interview where she

697
00:30:04,480 --> 00:30:07,120
Speaker 2: was going back and forth about why Democrats are bad

698
00:30:07,160 --> 00:30:08,520
Speaker 2: in the swing states, and she's like, you're talking to

699
00:30:08,520 --> 00:30:10,680
Speaker 2: somebody who won by almost twenty points in the last stay.

700
00:30:10,720 --> 00:30:13,120
Speaker 3: So she's like, don't tell me that people can't win big.

701
00:30:13,320 --> 00:30:15,080
Speaker 3: And then I was like, hey, it's a good answer,

702
00:30:15,240 --> 00:30:16,240
Speaker 3: and it's true, Midel.

703
00:30:16,520 --> 00:30:19,600
Speaker 1: I think mayor Pete hatred is you know, I have

704
00:30:20,080 --> 00:30:24,360
Speaker 1: studied solid credibility in that department, way better than common. Absolutely,

705
00:30:25,360 --> 00:30:28,320
Speaker 1: he's gotten better too over the years, like him mixing

706
00:30:28,320 --> 00:30:29,600
Speaker 1: it up on Fox and whatever.

707
00:30:29,720 --> 00:30:31,040
Speaker 4: Yeah, he's very effectual.

708
00:30:31,080 --> 00:30:32,920
Speaker 2: Poli just saying five people were better than the current

709
00:30:32,920 --> 00:30:35,840
Speaker 2: Democratic nominee, which is wild. Yeah, they never really state

710
00:30:35,880 --> 00:30:40,720
Speaker 2: their case. Keeping in the Trump vane he had. Elon

711
00:30:40,840 --> 00:30:43,600
Speaker 2: must have really gone all in on the state of Pennsylvania.

712
00:30:43,640 --> 00:30:46,400
Speaker 2: Elon is basically like running the campaign outreach there. He's

713
00:30:46,440 --> 00:30:49,320
Speaker 2: got a new scheme currently happening where he's handing out

714
00:30:49,440 --> 00:30:51,720
Speaker 2: million dollar checks at town.

715
00:30:51,560 --> 00:30:54,440
Speaker 3: Halls that he's holding across the state. Let's take a listen, all.

716
00:30:54,480 --> 00:31:07,600
Speaker 12: Right, So, uh, tonight's person is shown prayer. So by

717
00:31:07,600 --> 00:31:14,920
Speaker 12: the way, John had no idea. So uh, anyway, you're welcome,

718
00:31:15,200 --> 00:31:25,560
Speaker 12: Uh and uh yeah.

719
00:31:24,520 --> 00:31:28,000
Speaker 13: So so so the only the only, the only thing

720
00:31:28,040 --> 00:31:30,520
Speaker 13: we ask for the million dollars is that you'll be

721
00:31:30,800 --> 00:31:33,120
Speaker 13: a spokesperson for for the petition.

722
00:31:33,280 --> 00:31:34,800
Speaker 12: And uh, that's it.

723
00:31:34,840 --> 00:31:35,760
Speaker 3: Really, that's the whole.

724
00:31:35,840 --> 00:31:36,240
Speaker 13: That's it.

725
00:31:36,360 --> 00:31:38,120
Speaker 3: So there we go at these events.

726
00:31:38,200 --> 00:31:40,840
Speaker 2: Elon is now handing out one million dollar checks from

727
00:31:40,880 --> 00:31:44,200
Speaker 2: the Super pac America pack. This has caused quite a

728
00:31:44,200 --> 00:31:47,720
Speaker 2: bit of consternation as to whether it is real election

729
00:31:47,840 --> 00:31:49,360
Speaker 2: law or not. But do you want to do you

730
00:31:49,360 --> 00:31:50,640
Speaker 2: want to talk about it before we play?

731
00:31:50,880 --> 00:31:51,400
Speaker 3: Shapiro?

732
00:31:51,640 --> 00:31:55,040
Speaker 1: Yeah, I mean, to me, this gives like hunger games.

733
00:31:55,520 --> 00:31:58,480
Speaker 1: I mean that the spectacle of the richest man on

734
00:31:58,480 --> 00:32:02,880
Speaker 1: the planet dangling million dollar checks to get people to

735
00:32:02,960 --> 00:32:06,800
Speaker 1: vote for his preferred candidate. As he's also you know,

736
00:32:06,840 --> 00:32:09,880
Speaker 1: I mean Elon Musk himself is the recipient of tens

737
00:32:09,880 --> 00:32:14,040
Speaker 1: of billions of dollars annually in federal government contracts. He

738
00:32:14,080 --> 00:32:18,040
Speaker 1: also is entangled in all sorts of legal messes viz.

739
00:32:18,080 --> 00:32:21,200
Speaker 1: A VI the federal government. He has been promised a

740
00:32:21,960 --> 00:32:24,720
Speaker 1: high level government job that would basically put him above

741
00:32:24,760 --> 00:32:28,280
Speaker 1: those regulators who are trying to regulate his companies. He

742
00:32:28,400 --> 00:32:31,560
Speaker 1: runs one of the top social media platforms in the

743
00:32:31,600 --> 00:32:34,600
Speaker 1: world for the service of this candidate. And I just

744
00:32:34,640 --> 00:32:37,640
Speaker 1: would say, you know, if you like Elon, if you

745
00:32:37,760 --> 00:32:39,240
Speaker 1: like Trump, that's fine.

746
00:32:39,520 --> 00:32:40,920
Speaker 4: Just imagine if the shoe.

747
00:32:40,720 --> 00:32:43,160
Speaker 1: Was on the other foot and it was George Soros

748
00:32:43,240 --> 00:32:46,400
Speaker 1: on stage dangling million dollar checks to people to vote

749
00:32:46,440 --> 00:32:50,840
Speaker 1: for Kamala Harris, or it was you know, Jeff Bezos.

750
00:32:50,720 --> 00:32:53,040
Speaker 4: Or it was Bill Gates, or it was whoever.

751
00:32:53,400 --> 00:32:57,440
Speaker 1: Right, I think this should not be a partisan point

752
00:32:57,600 --> 00:33:02,080
Speaker 1: that having the wealthiest man on the planet this involved

753
00:33:02,760 --> 00:33:07,160
Speaker 1: in shaping our national conversation, funding one of the two

754
00:33:07,200 --> 00:33:09,920
Speaker 1: presidential candidates, and then being put in a position to

755
00:33:09,960 --> 00:33:13,880
Speaker 1: effectively run significant parts of the government to his own benefit.

756
00:33:14,200 --> 00:33:17,280
Speaker 1: Both from a business and an ideological perspective, I think

757
00:33:17,320 --> 00:33:21,239
Speaker 1: everyone should be deeply, deeply disturbed by that. I'm very

758
00:33:21,280 --> 00:33:23,240
Speaker 1: happy for these people who are getting this cash. I'm

759
00:33:23,240 --> 00:33:28,280
Speaker 1: sure they're very happy. But again, the idea of dangling

760
00:33:28,520 --> 00:33:32,720
Speaker 1: million dollar checks to coerce you know, the masses into

761
00:33:32,840 --> 00:33:35,320
Speaker 1: voting for as preferred candidate, yeah, I think it's it's

762
00:33:35,400 --> 00:33:39,080
Speaker 1: quite dystopian, and it is also possibly illegal.

763
00:33:39,280 --> 00:33:41,120
Speaker 2: Right, So let's get to that. Well, let's say, Okay,

764
00:33:41,240 --> 00:33:42,920
Speaker 2: so I don't disagree with the word you said.

765
00:33:42,920 --> 00:33:43,960
Speaker 3: I don't like dangling.

766
00:33:43,680 --> 00:33:45,880
Speaker 2: Money, especially you know, if people, if people are going

767
00:33:45,920 --> 00:33:47,560
Speaker 2: to come out to this, it's like it's like this

768
00:33:47,640 --> 00:33:49,040
Speaker 2: weird lottery mentality.

769
00:33:49,080 --> 00:33:50,960
Speaker 3: I just don't. I think it's gross to send it.

770
00:33:51,160 --> 00:33:52,400
Speaker 3: It's like squid game vibe.

771
00:33:52,600 --> 00:33:55,280
Speaker 2: Yeah, it's just in general, like I don't like people like,

772
00:33:55,440 --> 00:33:59,040
Speaker 2: you know, going just having that dynamic going on. I do,

773
00:33:59,360 --> 00:34:02,080
Speaker 2: in some way almost just appreciate the nakedness of like,

774
00:34:02,120 --> 00:34:03,720
Speaker 2: here's a million bucks if you go ahead and you

775
00:34:03,760 --> 00:34:08,280
Speaker 2: sign this petition. We've seen some campaigns implement that previously,

776
00:34:08,560 --> 00:34:10,680
Speaker 2: not near to the tune of million, but what was

777
00:34:10,680 --> 00:34:12,560
Speaker 2: it Doug Burgham, He's like, I'll give you twenty seven

778
00:34:12,600 --> 00:34:14,520
Speaker 2: dollars if you donate one dollar to my campaign.

779
00:34:14,600 --> 00:34:17,719
Speaker 1: Yeah, that's right, to get dollars to ge get on

780
00:34:17,760 --> 00:34:18,919
Speaker 1: the debate stage.

781
00:34:18,680 --> 00:34:19,120
Speaker 3: That's right.

782
00:34:19,360 --> 00:34:22,399
Speaker 1: And so just to lay on the mechanics of this

783
00:34:22,800 --> 00:34:25,239
Speaker 1: before we get and so the legal argument about whether

784
00:34:25,360 --> 00:34:28,879
Speaker 1: or not this is legal. So the idea is, if

785
00:34:28,880 --> 00:34:33,240
Speaker 1: you sign this petition that supports First Amendment and Second

786
00:34:33,239 --> 00:34:36,080
Speaker 1: Amendment rights, then you're entered into this lottery to win

787
00:34:36,160 --> 00:34:39,480
Speaker 1: a million dollars. But the reason why it is potentially

788
00:34:39,840 --> 00:34:42,759
Speaker 1: election fraud is because you have to be registered to

789
00:34:42,880 --> 00:34:44,440
Speaker 1: vote in order.

790
00:34:44,239 --> 00:34:45,200
Speaker 4: To sign the petition.

791
00:34:45,400 --> 00:34:48,480
Speaker 1: So it's effectively, you know, getting people to register to

792
00:34:48,560 --> 00:34:51,520
Speaker 1: vote using, you know, the promise of this lottery, the

793
00:34:51,560 --> 00:34:54,160
Speaker 1: promise of these funds, and that's what puts it on

794
00:34:54,360 --> 00:34:57,719
Speaker 1: very shaky legal ground. The governor of the state of Pennsylvania, Joshapeia,

795
00:34:57,800 --> 00:35:00,560
Speaker 1: of course, as a Democrat, is and this is all happening,

796
00:35:00,600 --> 00:35:02,840
Speaker 1: by the way, in the state of Pennsylvania. He says

797
00:35:02,880 --> 00:35:06,799
Speaker 1: that this needs to be investigated for potential election fraud.

798
00:35:06,880 --> 00:35:08,920
Speaker 1: Let's take a listen to him making that case.

799
00:35:09,080 --> 00:35:11,640
Speaker 10: I think there are real questions with how he is

800
00:35:11,680 --> 00:35:15,880
Speaker 10: spending money in this race, how the dark money is

801
00:35:15,960 --> 00:35:19,759
Speaker 10: flowing not just into Pennsylvania, but apparently now into the

802
00:35:19,800 --> 00:35:25,600
Speaker 10: pockets of Pennsylvanians. That is deeply concerning. Look, Musk obviously

803
00:35:25,840 --> 00:35:28,120
Speaker 10: has a right to be able to express his views.

804
00:35:28,120 --> 00:35:31,680
Speaker 10: He's made it very very clear that he supports Donald Trump.

805
00:35:31,920 --> 00:35:35,319
Speaker 10: I don't obviously we have a difference of opinion. I

806
00:35:35,360 --> 00:35:38,280
Speaker 10: don't deny him that right. But when you start flowing

807
00:35:38,560 --> 00:35:41,200
Speaker 10: this kind of money into politics, I think it raises

808
00:35:41,640 --> 00:35:44,640
Speaker 10: serious questions that folks may want to take a look at.

809
00:35:44,719 --> 00:35:46,640
Speaker 4: So you think it might not be legal, yes or no.

810
00:35:49,320 --> 00:35:51,960
Speaker 10: I think it's something that law enforcement could take a

811
00:35:52,000 --> 00:35:54,719
Speaker 10: look at. I'm not the attorney general anymore of Pennsylvania.

812
00:35:54,760 --> 00:35:57,640
Speaker 10: I'm the governor. But it does raise some serious questions.

813
00:35:57,840 --> 00:36:00,319
Speaker 2: All right, So, Chris Lely, you flagged this it up

814
00:36:00,320 --> 00:36:03,239
Speaker 2: there on the screen from the Election Law blog. This

815
00:36:03,320 --> 00:36:06,120
Speaker 2: is Rick Hassen. He's got an analysis here. He says,

816
00:36:06,160 --> 00:36:09,919
Speaker 2: there are some other some in terms of the actual legality.

817
00:36:10,000 --> 00:36:12,640
Speaker 2: As you said, it's all a question about whether this

818
00:36:12,760 --> 00:36:16,279
Speaker 2: is interpreted as forcing people to register to vote or not.

819
00:36:16,360 --> 00:36:19,080
Speaker 3: So Section fifty two USC to what is it.

820
00:36:18,960 --> 00:36:22,680
Speaker 2: One zero three zero seven c Whoever knowingly or wilfully

821
00:36:22,680 --> 00:36:25,160
Speaker 2: gives false information as to his name blah blah blah,

822
00:36:25,280 --> 00:36:28,680
Speaker 2: or pays or offers to pay, or accepts payments either

823
00:36:28,920 --> 00:36:32,319
Speaker 2: for registration to vote or voting, shall be fined not

824
00:36:32,440 --> 00:36:35,120
Speaker 2: more than ten thousand dollars or imprisoned not more than

825
00:36:35,160 --> 00:36:36,200
Speaker 2: five years, or both.

826
00:36:36,480 --> 00:36:37,640
Speaker 3: Emphasis added there.

827
00:36:38,680 --> 00:36:40,200
Speaker 4: I don't think the ten thousand dollars is going to

828
00:36:40,239 --> 00:36:41,360
Speaker 4: be a big free.

829
00:36:42,200 --> 00:36:44,040
Speaker 3: I mean, in some ways, maybe that's the perfect thing.

830
00:36:44,120 --> 00:36:44,239
Speaker 6: Right.

831
00:36:44,280 --> 00:36:45,880
Speaker 2: You're like, well, it's a ten thousand dollars fine, you

832
00:36:45,880 --> 00:36:47,439
Speaker 2: pay a million bucks. So these just have to pay

833
00:36:47,520 --> 00:36:49,359
Speaker 2: like what is that like less than one percent interest

834
00:36:49,719 --> 00:36:51,360
Speaker 2: or something on top of that to make sure that

835
00:36:51,360 --> 00:36:55,120
Speaker 2: you can pay the fine. They look at it this

836
00:36:55,200 --> 00:37:00,200
Speaker 2: in terms of the DOJ says that any bribe can

837
00:37:00,239 --> 00:37:05,480
Speaker 2: be anything having monetary value, including cash, liquor, lottery chances,

838
00:37:05,640 --> 00:37:08,920
Speaker 2: welfare benefits, et cetera, and continues and says that it

839
00:37:09,040 --> 00:37:12,160
Speaker 2: must have been intended to induce or reward the voter

840
00:37:12,280 --> 00:37:15,920
Speaker 2: for engaging in one or more acts necessary to cast

841
00:37:15,920 --> 00:37:20,200
Speaker 2: a ballot. However, such payments become actionable under that section

842
00:37:20,280 --> 00:37:22,680
Speaker 2: I previously said if they are shared with the person

843
00:37:22,880 --> 00:37:25,080
Speaker 2: that are being registered. So it all comes down to

844
00:37:25,080 --> 00:37:27,759
Speaker 2: whether this was an act of registration to vote or

845
00:37:27,800 --> 00:37:31,399
Speaker 2: an act of signing a petition, which would appear legal.

846
00:37:31,480 --> 00:37:34,280
Speaker 2: Probably has got the legal sign over from his campaign

847
00:37:34,840 --> 00:37:37,720
Speaker 2: or from his people because it's an act of a petition,

848
00:37:37,760 --> 00:37:40,240
Speaker 2: and I guess they could argue it in federal court.

849
00:37:40,280 --> 00:37:43,960
Speaker 2: But it is an interesting electionized I mean, the other.

850
00:37:43,840 --> 00:37:46,320
Speaker 1: Thing you said maybe true too, which is maybe illegal

851
00:37:46,360 --> 00:37:47,799
Speaker 1: and is a ten thousand all of fine. So who

852
00:37:47,840 --> 00:37:48,359
Speaker 1: freaking cares?

853
00:37:48,440 --> 00:37:50,680
Speaker 3: Right, Yeah, I mean a lot of I mean that

854
00:37:51,680 --> 00:37:52,120
Speaker 3: works out.

855
00:37:52,239 --> 00:37:55,279
Speaker 1: That's how CEOs think right, They think about these like,

856
00:37:55,360 --> 00:37:57,560
Speaker 1: you know, SEC fines and whatever is just like a

857
00:37:57,600 --> 00:38:00,080
Speaker 1: cost of doing business. And so it would not be

858
00:38:00,120 --> 00:38:02,200
Speaker 1: crazy if he was like, yeah, it's probably illegal, but

859
00:38:02,239 --> 00:38:03,319
Speaker 1: I'll just pay the fine and whatever.

860
00:38:03,320 --> 00:38:03,799
Speaker 4: Who cares.

861
00:38:03,880 --> 00:38:06,479
Speaker 1: Yeah, there was another story I just wanted to flag

862
00:38:06,520 --> 00:38:08,080
Speaker 1: for you guys, because I do think this.

863
00:38:08,800 --> 00:38:10,000
Speaker 4: You know, I've come to see.

864
00:38:10,640 --> 00:38:14,560
Speaker 1: Obviously, billionaire influence in politics we cover extensively. We cover

865
00:38:14,640 --> 00:38:16,320
Speaker 1: on both sides of the aisle. We've been talking about

866
00:38:16,640 --> 00:38:19,719
Speaker 1: Mark Cuban and Reid Hoffman on the Kammala side. But

867
00:38:19,800 --> 00:38:21,399
Speaker 1: I do think it's fair to say there is nothing

868
00:38:21,440 --> 00:38:24,240
Speaker 1: equivalent to what Elon Musk is doing in this election,

869
00:38:24,680 --> 00:38:27,760
Speaker 1: not only in this election, but potentially in American history,

870
00:38:27,800 --> 00:38:31,719
Speaker 1: really is pushing the bounds of you know, billionaire influence

871
00:38:31,840 --> 00:38:35,560
Speaker 1: in American politics. He is a saber reference. He's effectively

872
00:38:35,600 --> 00:38:37,719
Speaker 1: running the ground game for Trump in a lot of

873
00:38:37,760 --> 00:38:39,360
Speaker 1: key states, Pennsylvania in particular.

874
00:38:39,640 --> 00:38:42,319
Speaker 4: We may cover tomorrow. That may not that that may

875
00:38:42,320 --> 00:38:43,120
Speaker 4: not work out.

876
00:38:42,960 --> 00:38:46,000
Speaker 1: Because there are some indications that that ground game effort

877
00:38:46,040 --> 00:38:47,960
Speaker 1: is not going all that well. We'll put that to

878
00:38:48,000 --> 00:38:51,720
Speaker 1: the side for now. But in addition to this million

879
00:38:51,760 --> 00:38:55,799
Speaker 1: dollar check effort. His super pac that he funded is

880
00:38:55,880 --> 00:39:00,279
Speaker 1: also running this this so they put up a website

881
00:39:00,400 --> 00:39:04,280
Speaker 1: that is meant to look like Kamala's answer to Project

882
00:39:04,320 --> 00:39:07,440
Speaker 1: twenty twenty five. It's called Progress twenty twenty eight, and

883
00:39:07,520 --> 00:39:10,320
Speaker 1: again if you look at it, it appears.

884
00:39:09,920 --> 00:39:11,400
Speaker 4: To be making the case for KAMMLA.

885
00:39:11,480 --> 00:39:14,920
Speaker 1: But then they use these like, you know, caricaturist versions

886
00:39:14,960 --> 00:39:18,600
Speaker 1: of her least popular policies to try to like low

887
00:39:18,680 --> 00:39:20,759
Speaker 1: key show people like, oh, she's going to do all

888
00:39:20,800 --> 00:39:23,200
Speaker 1: this crazy stuff when she gets elected. And they're also

889
00:39:23,280 --> 00:39:26,320
Speaker 1: funding a text message campaign that does the same where

890
00:39:26,400 --> 00:39:28,160
Speaker 1: if you just look at the text message, it seems

891
00:39:28,160 --> 00:39:30,160
Speaker 1: like it's coming from the Harris campaign, but it's actually

892
00:39:30,239 --> 00:39:34,440
Speaker 1: coming from this Elon Musk funded super pack. So they

893
00:39:34,440 --> 00:39:36,879
Speaker 1: can put this up on the screen. Open Secrets did

894
00:39:36,920 --> 00:39:39,719
Speaker 1: the reporting here. Their headline is pro Trump dark money

895
00:39:39,719 --> 00:39:43,720
Speaker 1: network tied to Elon Musk behind fake pro Harris campaign scheme.

896
00:39:44,200 --> 00:39:48,680
Speaker 1: Now this one because they disclose that you know, it's

897
00:39:48,719 --> 00:39:50,920
Speaker 1: paid for by I think the thing is called building

898
00:39:50,960 --> 00:39:54,480
Speaker 1: America's Future. So since they do the proper disclosures, it's

899
00:39:54,520 --> 00:39:57,919
Speaker 1: probably not illegal, but it is, you know, it's pretty

900
00:39:57,920 --> 00:40:01,000
Speaker 1: skeazy thing. To do to sort of posture like your

901
00:40:01,160 --> 00:40:04,279
Speaker 1: your opponent's campaign and then put out this caricaturist view

902
00:40:04,280 --> 00:40:06,719
Speaker 1: that's meant to dissuade people. So this is one of

903
00:40:06,719 --> 00:40:08,600
Speaker 1: the other efforts that he's involved in, and we'll talk

904
00:40:08,680 --> 00:40:11,440
Speaker 1: later in the show in one of the latter segments

905
00:40:11,480 --> 00:40:15,239
Speaker 1: about how he's also funding these ad campaigns where if

906
00:40:15,320 --> 00:40:20,120
Speaker 1: you are a Jewish pro Israel voter, he's funding targeted

907
00:40:20,120 --> 00:40:23,200
Speaker 1: ads that are like, Kama's not sufficiently pro Israel. And

908
00:40:23,239 --> 00:40:25,759
Speaker 1: then if you're a pro Palestine voter, he's funding these

909
00:40:25,760 --> 00:40:28,120
Speaker 1: ads that are like Kamala stands strongly with Israel and

910
00:40:28,160 --> 00:40:29,759
Speaker 1: always will blah blah blah.

911
00:40:29,840 --> 00:40:32,240
Speaker 4: So these are some of the tactics that he is engaged.

912
00:40:32,280 --> 00:40:35,120
Speaker 3: Here you go. The latter one is smart, the former one.

913
00:40:35,200 --> 00:40:35,560
Speaker 12: What is it?

914
00:40:35,600 --> 00:40:38,360
Speaker 2: I remember this has always been this is part of

915
00:40:38,360 --> 00:40:40,080
Speaker 2: the problem with the election. Low Why is any stuff

916
00:40:40,080 --> 00:40:42,080
Speaker 2: even legal? What was I think that read Hoffman did

917
00:40:42,600 --> 00:40:45,279
Speaker 2: and it was it was like some fake newspaper that

918
00:40:45,400 --> 00:40:49,720
Speaker 2: read Hoffman funded Alabama. I'm thinking that was it was completely.

919
00:40:49,400 --> 00:40:51,440
Speaker 1: It was a bunch of them actually all over all

920
00:40:51,440 --> 00:40:53,319
Speaker 1: over the place that were meant to look like they

921
00:40:53,360 --> 00:40:55,759
Speaker 1: were legitimate news sources, but were just like you know.

922
00:40:55,800 --> 00:40:59,320
Speaker 3: Parts, yeah, like literal press releases.

923
00:40:59,360 --> 00:41:00,759
Speaker 1: So yeah, I mean, I I do think a lot

924
00:41:00,840 --> 00:41:02,640
Speaker 1: of this stuff should be a lot more should be

925
00:41:02,719 --> 00:41:06,120
Speaker 1: illegal than actually is. But the Elon Musk million dollar

926
00:41:06,160 --> 00:41:07,279
Speaker 1: thing may actually.

927
00:41:07,239 --> 00:41:09,320
Speaker 3: And the loophole of it should.

928
00:41:09,120 --> 00:41:10,680
Speaker 2: Be right, and the loophole of it all so it's

929
00:41:10,680 --> 00:41:13,520
Speaker 2: all coming through super PACs, and so then you're outsourcing

930
00:41:13,520 --> 00:41:15,520
Speaker 2: stuff to these super PACs, so none of it makes

931
00:41:15,520 --> 00:41:17,840
Speaker 2: any sense. It makes it a lot less regulated, and

932
00:41:17,840 --> 00:41:20,080
Speaker 2: we don't even be really insight into even who's funding

933
00:41:20,160 --> 00:41:20,480
Speaker 2: some of this.

934
00:41:20,760 --> 00:41:22,600
Speaker 3: So anyway, that's exactly right.

935
00:41:22,680 --> 00:41:24,680
Speaker 1: Yeah, a lot of these super pat they're called dark

936
00:41:24,680 --> 00:41:27,960
Speaker 1: money super PACs because the election is such that if

937
00:41:27,960 --> 00:41:31,000
Speaker 1: you're not actively making the case for a candidate, then

938
00:41:31,160 --> 00:41:34,279
Speaker 1: you can avoid any sort of scrutiny. And also some

939
00:41:34,320 --> 00:41:37,080
Speaker 1: of the disclosion disclosure laws are such that if you

940
00:41:37,160 --> 00:41:39,600
Speaker 1: jump in a bunch of money in the waning days

941
00:41:39,600 --> 00:41:42,280
Speaker 1: of a campaign, it's not even disclosed till after the campaign.

942
00:41:42,280 --> 00:41:45,080
Speaker 1: So these are always that billionaires get around, you know,

943
00:41:45,160 --> 00:41:49,000
Speaker 1: the public really knowing how much they're in. But I mean,

944
00:41:49,400 --> 00:41:52,479
Speaker 1: we don't know the exact dollar figures for Elon Musk,

945
00:41:52,520 --> 00:41:55,360
Speaker 1: but we know it's a preposterously large amount, and obviously

946
00:41:55,400 --> 00:41:58,120
Speaker 1: it's very visible. So to your Pointzager, it is quite naked,

947
00:41:58,360 --> 00:42:01,120
Speaker 1: is quite brazen. There's really no how much he is

948
00:42:01,160 --> 00:42:05,640
Speaker 1: trying personally to win this election for Donald Trump through

949
00:42:05,640 --> 00:42:07,120
Speaker 1: whatever levers he possibly can.

950
00:42:09,640 --> 00:42:10,760
Speaker 3: All right, let's go to Kamala.

951
00:42:10,880 --> 00:42:13,719
Speaker 2: She appeared on MSNBC last night with Al Sharp and

952
00:42:13,719 --> 00:42:16,880
Speaker 2: she was pressed on the blackmail agenda and whether they

953
00:42:16,880 --> 00:42:17,719
Speaker 2: should vote for her.

954
00:42:17,800 --> 00:42:19,000
Speaker 3: Again, let's take a lesson.

955
00:42:19,200 --> 00:42:22,080
Speaker 7: Do you think some of the resistance of some men

956
00:42:22,239 --> 00:42:26,480
Speaker 7: black and white is misogynists? And are you proud to

957
00:42:26,560 --> 00:42:31,320
Speaker 7: see that most Americans, even being pold, have no problem

958
00:42:32,200 --> 00:42:35,240
Speaker 7: supporting a woman at all. And I'm one that lived

959
00:42:35,520 --> 00:42:39,200
Speaker 7: from Shirley to Kamala in terms of these campaigns, and.

960
00:42:40,680 --> 00:42:43,880
Speaker 11: I have an emotional reaction to raising the point of

961
00:42:43,920 --> 00:42:47,960
Speaker 11: Shirley Chisholm because it is on her broad shoulders that

962
00:42:48,000 --> 00:42:50,520
Speaker 11: I stand and so many of us stand. And we

963
00:42:50,680 --> 00:42:54,120
Speaker 11: have come a long way to your point, and on

964
00:42:54,160 --> 00:42:58,120
Speaker 11: your specific point about including the fact that I have

965
00:42:58,160 --> 00:43:03,560
Speaker 11: the support of countless black men who are in elected positions,

966
00:43:03,600 --> 00:43:07,439
Speaker 11: including I'm just this afternoon and two church visits today

967
00:43:07,480 --> 00:43:08,880
Speaker 11: with the mayor of Atlanta.

968
00:43:09,760 --> 00:43:13,200
Speaker 3: That being said, I think that you.

969
00:43:13,160 --> 00:43:16,879
Speaker 11: Are absolutely right that there is this narrative about what

970
00:43:17,000 --> 00:43:20,400
Speaker 11: kind of support we are receiving from black men that

971
00:43:20,600 --> 00:43:23,879
Speaker 11: is just not panning out in reality in terms of

972
00:43:23,920 --> 00:43:27,160
Speaker 11: when I go to last night Atlanta and had I

973
00:43:27,239 --> 00:43:32,480
Speaker 11: think ten thousand people at a rally, I will also

974
00:43:32,560 --> 00:43:37,240
Speaker 11: say this, Rev. I am very clear, I must earn

975
00:43:37,719 --> 00:43:43,480
Speaker 11: earn the vote of everyone, regardless of their race or gender.

976
00:43:44,080 --> 00:43:48,440
Speaker 11: And what can be frustrating sometimes is to have journalists

977
00:43:48,520 --> 00:43:50,880
Speaker 11: ask me this question as though one should assume that

978
00:43:51,000 --> 00:43:54,120
Speaker 11: I would just be able to take for granted the

979
00:43:54,200 --> 00:43:55,120
Speaker 11: vote of black men.

980
00:43:55,880 --> 00:43:57,400
Speaker 3: I think that's actually.

981
00:43:58,560 --> 00:44:00,000
Speaker 4: An uninformed perspective.

982
00:44:00,600 --> 00:44:02,720
Speaker 3: So yeah, she's doing a pretty good job on that answers.

983
00:44:02,760 --> 00:44:04,840
Speaker 2: She refuses to take the bait and have any of

984
00:44:04,880 --> 00:44:07,120
Speaker 2: the Hillary stuff. So on the one hand, we have

985
00:44:07,200 --> 00:44:09,720
Speaker 2: that from Kamala about I'm not going to take anybody

986
00:44:09,760 --> 00:44:13,080
Speaker 2: for granted. That's obviously way better than Hillary. The deplorables,

987
00:44:13,239 --> 00:44:15,759
Speaker 2: they made a couple of efforts. Look with that, we

988
00:44:15,800 --> 00:44:19,080
Speaker 2: saw it with Charlemagne, was shot with here with al Sharpton.

989
00:44:19,280 --> 00:44:22,319
Speaker 2: She refuses to break I think with President Obama or sorry,

990
00:44:22,400 --> 00:44:26,360
Speaker 2: refuses to do what President Obama did very much. Lecturing

991
00:44:26,760 --> 00:44:30,160
Speaker 2: the brothers in his language still wild. I can't believe

992
00:44:30,160 --> 00:44:32,560
Speaker 2: he gets her away with this and this, and the

993
00:44:32,600 --> 00:44:34,359
Speaker 2: media is are just like, oh, yeah, it's totally fun.

994
00:44:34,560 --> 00:44:37,000
Speaker 3: It's actually quite normal to lecture people that way.

995
00:44:37,040 --> 00:44:41,759
Speaker 2: But look, clearly the black commentariat that I've seen from

996
00:44:41,800 --> 00:44:45,160
Speaker 2: Al Sharpton, Obama and others, they are worried about this

997
00:44:45,280 --> 00:44:47,440
Speaker 2: issue and all of them are like grappling with it

998
00:44:47,680 --> 00:44:52,239
Speaker 2: with Kamala in general and how that shape could be

999
00:44:52,280 --> 00:44:53,640
Speaker 2: one of the central stories of the election.

1000
00:44:53,880 --> 00:44:56,040
Speaker 1: I do hate the way this is framed around like

1001
00:44:56,160 --> 00:44:59,360
Speaker 1: black men specifically having a problem with women. It is gross.

1002
00:44:59,360 --> 00:45:01,600
Speaker 1: I think she handles this question very well, and I

1003
00:45:01,600 --> 00:45:02,120
Speaker 1: think she is.

1004
00:45:02,080 --> 00:45:04,680
Speaker 3: Better than the commentators, right, that's the interague.

1005
00:45:04,840 --> 00:45:07,239
Speaker 1: Yeah, I mean better than most of the commentators. We

1006
00:45:07,280 --> 00:45:09,319
Speaker 1: have a wonderful Nina turner On who handles this better

1007
00:45:09,360 --> 00:45:13,560
Speaker 1: than anyone. But yeah, she has done well on these

1008
00:45:13,600 --> 00:45:16,520
Speaker 1: identity questions from the beginning. She really has. I think

1009
00:45:16,560 --> 00:45:19,520
Speaker 1: she learned from Hillary's mistakes. I think she learned from

1010
00:45:19,719 --> 00:45:22,600
Speaker 1: some of the overreaches of like peak wocism, et cetera.

1011
00:45:22,960 --> 00:45:25,680
Speaker 1: I think she doesn't she even learned from her own missay,

1012
00:45:25,760 --> 00:45:28,440
Speaker 1: remember when she was introduced as Joe Biden's vice president,

1013
00:45:28,600 --> 00:45:32,120
Speaker 1: you know, at the DNC in twenty twenty, I hated

1014
00:45:32,120 --> 00:45:33,080
Speaker 1: her speech because it was.

1015
00:45:33,040 --> 00:45:35,040
Speaker 4: All me, me, me. It was very narcissistic.

1016
00:45:35,080 --> 00:45:37,560
Speaker 1: It was that very like, it's all about my personal

1017
00:45:37,880 --> 00:45:40,799
Speaker 1: path to glory and my trailblazing status.

1018
00:45:40,840 --> 00:45:42,200
Speaker 4: And she's dropped all of that.

1019
00:45:43,040 --> 00:45:46,040
Speaker 1: But you know, to me, the choice of the interview

1020
00:45:46,320 --> 00:45:49,680
Speaker 1: venues over the past couple of weeks do display a

1021
00:45:49,760 --> 00:45:54,360
Speaker 1: sense of nervousness around you know, this particular demographic group,

1022
00:45:54,560 --> 00:45:57,080
Speaker 1: so they feel like they're having a harder time. Some

1023
00:45:57,120 --> 00:46:00,400
Speaker 1: of the some of the like registration data, some of

1024
00:46:00,400 --> 00:46:02,239
Speaker 1: the early vote data, which of course we should take

1025
00:46:02,239 --> 00:46:04,239
Speaker 1: with a million grains of salt, shows that their black

1026
00:46:04,280 --> 00:46:06,799
Speaker 1: women are really turning out very strongly, and there is

1027
00:46:07,400 --> 00:46:10,000
Speaker 1: less of a sense of that momentum with black men,

1028
00:46:10,080 --> 00:46:12,920
Speaker 1: so they're clearly trying to shore that up. How much

1029
00:46:13,040 --> 00:46:15,560
Speaker 1: choice reference Sharpton has at this point to help in

1030
00:46:15,640 --> 00:46:18,359
Speaker 1: that regard is a separate question, but you know, they're

1031
00:46:18,400 --> 00:46:20,000
Speaker 1: doing whatever they can figure out to do.

1032
00:46:20,800 --> 00:46:22,719
Speaker 4: She also got asked about, you.

1033
00:46:22,680 --> 00:46:26,480
Speaker 1: Know, an issue that may dog her in the black community,

1034
00:46:26,560 --> 00:46:29,279
Speaker 1: which is this idea that you know, she's calm of

1035
00:46:29,320 --> 00:46:32,600
Speaker 1: the cop, that she's too tough on crime, that she

1036
00:46:32,880 --> 00:46:35,440
Speaker 1: you know, there was a lot of discussion during the

1037
00:46:35,440 --> 00:46:38,840
Speaker 1: twenty twenty primary, in particular about her locking up parents

1038
00:46:38,840 --> 00:46:43,040
Speaker 1: whose kids were truant, throwing people in jail for marijuana youth.

1039
00:46:43,360 --> 00:46:45,960
Speaker 1: Let's take a listen to how Reverend Sharpton asked.

1040
00:46:45,800 --> 00:46:48,440
Speaker 7: Her about this, and let's talk about blacks in general,

1041
00:46:48,719 --> 00:46:51,000
Speaker 7: because one of the things, you know, I've been on

1042
00:46:51,040 --> 00:46:54,799
Speaker 7: a non prodestan toured National Action Networking and Central Flog

1043
00:46:54,920 --> 00:46:57,879
Speaker 7: five Yes and others. And one of the things that

1044
00:46:58,880 --> 00:47:01,200
Speaker 7: reporters act said, we don't get it from the audiences,

1045
00:47:01,200 --> 00:47:05,279
Speaker 7: what about the Kamala the cop? And I said, well,

1046
00:47:05,320 --> 00:47:07,799
Speaker 7: I knew her as da you and I go with that.

1047
00:47:08,840 --> 00:47:12,120
Speaker 7: She was one that wanted people with marijuana arrest not

1048
00:47:12,239 --> 00:47:14,399
Speaker 7: to go to jails exactly. And the Attorney General wasn't

1049
00:47:14,400 --> 00:47:17,400
Speaker 7: even under your purview. I mean, do you think that

1050
00:47:17,520 --> 00:47:21,439
Speaker 7: this is orchestrated, that they're trying to find some way

1051
00:47:21,760 --> 00:47:24,680
Speaker 7: to separate you from some elements because you used to

1052
00:47:24,680 --> 00:47:27,720
Speaker 7: be attack for being too progressive as a district attorney.

1053
00:47:27,880 --> 00:47:30,520
Speaker 11: I know, you know. And here's the thing, Rev. We are,

1054
00:47:30,640 --> 00:47:34,240
Speaker 11: as of today's Sunday, sixteen days away from the election

1055
00:47:34,320 --> 00:47:36,759
Speaker 11: for President of the United States, and there are all

1056
00:47:36,880 --> 00:47:40,000
Speaker 11: sorts of people who are going to throw a bunch

1057
00:47:40,000 --> 00:47:44,920
Speaker 11: of things out that will include missing disinformation with the

1058
00:47:44,920 --> 00:47:48,759
Speaker 11: intention to dissuade certain people from voting. And that's not new.

1059
00:47:49,040 --> 00:47:50,400
Speaker 3: Yesterday I was in Michigan.

1060
00:47:51,160 --> 00:47:55,320
Speaker 11: Tomorrow be in Pennsylvania, Michigan and Wisconsin, and I'm leaving

1061
00:47:55,360 --> 00:47:56,160
Speaker 11: nothing on the field.

1062
00:47:56,280 --> 00:47:58,200
Speaker 2: At the same time, with Kamala we see here going

1063
00:47:58,200 --> 00:48:00,640
Speaker 2: in on the character question against Donald Trump.

1064
00:48:00,760 --> 00:48:01,520
Speaker 3: Let's take a listen.

1065
00:48:01,719 --> 00:48:04,640
Speaker 7: I have to ask you about your opponent. He used

1066
00:48:04,719 --> 00:48:10,400
Speaker 7: a very ugly term about you last night, using the

1067
00:48:10,600 --> 00:48:15,040
Speaker 7: S word as vice president, and how do you react

1068
00:48:15,080 --> 00:48:18,920
Speaker 7: to this kind of street talk from someone who wants

1069
00:48:18,960 --> 00:48:22,239
Speaker 7: to be president? Again? That was president. I've known you

1070
00:48:22,280 --> 00:48:24,760
Speaker 7: a long time and I know you have thick skin.

1071
00:48:25,080 --> 00:48:27,560
Speaker 7: But I'm not asking you as a person because i

1072
00:48:27,600 --> 00:48:30,600
Speaker 7: know you're used to that. But what does it do

1073
00:48:30,760 --> 00:48:34,480
Speaker 7: in your opinion to the standards we're setting for our

1074
00:48:34,560 --> 00:48:37,400
Speaker 7: young people all over the country when we're using this

1075
00:48:37,560 --> 00:48:41,360
Speaker 7: kind of locker room street talk about an opponent for

1076
00:48:41,440 --> 00:48:43,240
Speaker 7: president of the United States.

1077
00:48:44,080 --> 00:48:47,960
Speaker 11: So the American people deserve so much better. That's how

1078
00:48:48,000 --> 00:48:53,040
Speaker 11: I come at it. And to your point, the President

1079
00:48:53,080 --> 00:48:56,759
Speaker 11: of the United States must set a standard not only

1080
00:48:56,840 --> 00:49:00,160
Speaker 11: for our nation, but understanding the standard that we as

1081
00:49:00,200 --> 00:49:03,960
Speaker 11: a nation must set for the world. You know, we

1082
00:49:05,040 --> 00:49:07,839
Speaker 11: we as representing the United States of America, walk into

1083
00:49:07,880 --> 00:49:12,680
Speaker 11: rooms around the world with the earned and self appointed

1084
00:49:12,719 --> 00:49:17,279
Speaker 11: authority to talk about the importance of democracy rule of law.

1085
00:49:17,560 --> 00:49:19,440
Speaker 2: So that's what we've got right now, Crystal. That fits

1086
00:49:19,560 --> 00:49:21,960
Speaker 2: very much with the spending that we talked previously with Logan.

1087
00:49:22,080 --> 00:49:26,080
Speaker 2: That'll be for premusubscribers today, but for others tomorrow, specifically

1088
00:49:26,120 --> 00:49:28,040
Speaker 2: about that character question on Trump.

1089
00:49:28,080 --> 00:49:29,799
Speaker 3: It just give me a little bit of Hillary vibes.

1090
00:49:29,880 --> 00:49:30,759
Speaker 3: I'm curious what you think.

1091
00:49:31,160 --> 00:49:33,360
Speaker 1: I think the way she always makes this question is

1092
00:49:33,520 --> 00:49:35,480
Speaker 1: make it about you deserve better.

1093
00:49:35,680 --> 00:49:37,120
Speaker 4: Is the best way to handle it.

1094
00:49:37,200 --> 00:49:38,840
Speaker 1: Yeah, you know, versus she could take a lot of

1095
00:49:38,960 --> 00:49:41,239
Speaker 1: umbrage and I'm not even sure. I think he said

1096
00:49:41,280 --> 00:49:43,359
Speaker 1: she's like a shitty vice presidenter or something like that,

1097
00:49:43,960 --> 00:49:44,399
Speaker 1: but she.

1098
00:49:44,360 --> 00:49:45,759
Speaker 4: Could take a lot of umbrage at it.

1099
00:49:45,800 --> 00:49:49,480
Speaker 1: I think that was more the Hillary route and to say,

1100
00:49:49,680 --> 00:49:52,160
Speaker 1: you all deserve better than someone who talks this way

1101
00:49:52,239 --> 00:49:54,279
Speaker 1: and demeans all of us. That way, I think is

1102
00:49:54,280 --> 00:49:57,280
Speaker 1: probably the best way to go about it. That being said, again,

1103
00:49:57,560 --> 00:50:00,239
Speaker 1: you know, I think that the Harris campaign has been

1104
00:50:00,800 --> 00:50:04,520
Speaker 1: intuited that people basically feel the way they're going to

1105
00:50:04,600 --> 00:50:10,400
Speaker 1: feel about Donald Trump. They're leaning most heavily into ads

1106
00:50:10,480 --> 00:50:15,360
Speaker 1: about taxation, which are less about his you know, like

1107
00:50:15,400 --> 00:50:19,719
Speaker 1: democracy and his character in that regard, his like dictatorial tendencies,

1108
00:50:20,080 --> 00:50:22,759
Speaker 1: and more about him being in the pocket a bunch

1109
00:50:22,760 --> 00:50:25,720
Speaker 1: of billionaires and looking out for their interests over yours.

1110
00:50:25,880 --> 00:50:27,600
Speaker 1: And you know, I think that's a pretty smart place

1111
00:50:27,640 --> 00:50:31,080
Speaker 1: for them to land and emphasize in these final weeks.

1112
00:50:31,320 --> 00:50:34,840
Speaker 1: How much any of it matters remains to be seen,

1113
00:50:34,960 --> 00:50:37,920
Speaker 1: how much paid communication. They have a massive fundraising advantage,

1114
00:50:38,280 --> 00:50:41,160
Speaker 1: not just the presidential level, but at the Senate level

1115
00:50:41,200 --> 00:50:45,120
Speaker 1: and the House level. Republicans are getting massively outspent in

1116
00:50:45,239 --> 00:50:49,120
Speaker 1: almost every race, every swing race across the board. I

1117
00:50:49,120 --> 00:50:51,919
Speaker 1: think it probably matters the further down you go down

1118
00:50:51,920 --> 00:50:53,879
Speaker 1: the ballot, you know, when you get to those house races,

1119
00:50:53,880 --> 00:50:55,480
Speaker 1: I think it probably matters a lot more than at

1120
00:50:55,480 --> 00:50:57,879
Speaker 1: the presidential race. So much it really is determined by

1121
00:50:57,960 --> 00:51:01,759
Speaker 1: just like that national meta narrative about how people feel

1122
00:51:01,760 --> 00:51:04,399
Speaker 1: about these candidates for whom they already have a lot

1123
00:51:04,400 --> 00:51:05,880
Speaker 1: of information and experience with.

1124
00:51:05,920 --> 00:51:17,239
Speaker 3: Definitely totally agree