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

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

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

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

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

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Speaker 3: Coverage that is possible.

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

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

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

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

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Speaker 1: We have personal indeed, we do lots of interesting news

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Speaker 1: breaking this morning. We are going to be taking a

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Speaker 1: look at this blockbuster New York Times.

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Speaker 4: Poll that woof yikes bad for Joe.

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Speaker 1: Biden, really bad for Joe Biden. I mean, like down

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Speaker 1: double digits in Nevada bad for Joe Biden. So we'll

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Speaker 1: dig into that because there are a lot of other

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Speaker 1: interesting numbers besides those top lines. We also, in light

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Speaker 1: of those that news, we're going to show you Biden's

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Speaker 1: favorite news anchor basically pushing the alarm button and saying, hey,

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Speaker 1: you are on a path to defeat right now. So

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Speaker 1: there is a lot of freak out totally justified on

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Speaker 1: the Democratic side of the aisle right now. We also

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Speaker 1: had Trump back in the courtroom yesterday and what was

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Speaker 1: probably the most essential testimony in this hush money case

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Speaker 1: of Michael Cohen. Will tell you what he said and

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Speaker 1: what it could mean. Also, GameStop is back, Raring, Kitty

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Speaker 1: is back, He's back.

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Speaker 2: What was the percentage in place yes as of this morning,

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Speaker 2: game stop up about seventy five percent AMC stock up

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Speaker 2: one all thanks to mister Keith Gill himself.

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Speaker 1: Very interesting times we're living in, Yes. Indeed, at the

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Speaker 1: same time, we've got some major developments with regard to

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Speaker 1: Ukraine that we did not want to lose sight of,

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Speaker 1: both on the Russian side and on the Ukrainian side,

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

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Speaker 4: A lot going on in.

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Speaker 1: Israel, of course, We're going to bring you a CNN

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Speaker 1: report about detainees being tortured by the Israelis, an Israeli

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Speaker 1: whistleblowerre actually bringing them these allegations.

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Speaker 4: Quite stunning. There.

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Speaker 1: We also have IDF generals revolting against BB their reasons

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Speaker 1: really interesting. What this says about the divide in Israeli society.

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Speaker 1: And we have Senator Lindsay Graham suggesting, hey, how about

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Speaker 1: we just knew Gaza? How about that, joining a growing

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Speaker 1: list of politicians who are suggesting just out and out

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Speaker 1: atrost genicidal atrocities against Palestinians. We also are very excited

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Speaker 1: to talk to Arjun Singh. He's a producer for lever

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Speaker 1: News's new Revamp podcast, which I have to tell you

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Speaker 1: guys is excellent. I've been seeing as Praises Sager can vouch,

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Speaker 1: they have really up their game, and he's done some

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Speaker 1: fantastic reporting looking inside the Biden administration's unconditional support for Israel.

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Speaker 1: And this comes at a time when we have yet

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Speaker 1: another significant official in the State Department resigning over his

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Speaker 1: moral objections to the policy viz. A vi Israel and

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Speaker 1: the unconditional support, the flouting of American laws in order

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Speaker 1: to support Israel. And it's a Jewish man who resigned too.

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Speaker 1: So it's quite an interesting role position that he is

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Speaker 1: taking and worth taking a look at that as well.

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Speaker 2: He's the active duty US Army major. I mean, it's

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Speaker 2: not something you just throw away, right, you know. I mean,

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Speaker 2: this is an entire career. Somebody who's already reached that

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Speaker 2: rank is spend a long time in the military, probably

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Speaker 2: on a career track. That's not something that you just

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Speaker 2: do lightly. We had similar resignations that happened in the past.

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Speaker 2: It used to get a lot of attention here. I

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Speaker 2: seem to recall whenever it was under Trump.

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Speaker 3: Under Biden.

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Speaker 2: You may be able to hear about it on a

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Speaker 2: show like Hours, Yeah about it maybe if you're on Twitter,

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Speaker 2: if you're on the right Twitter. But anyways, as Crystal said,

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Speaker 2: we've got a great show for everybody today. Thank you

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Speaker 2: to everybody who's been signing up for premium Breakingpoints dot

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Speaker 2: Com And as we continue to tease, we do have

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Speaker 2: a major, major announcement that is coming. That's all I

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Speaker 2: can say at this point, but it's going to be

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Speaker 2: a massive upgrade in our premium service. We're always thinking

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Speaker 2: about everybody, especially on the heels. We've only got two

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Speaker 2: weeks to go a three year anniversary, which is pretty crazy.

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Speaker 2: Was really reflecting on it yesterday. We finally got our

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Speaker 2: personal YouTube one million plaques and I put it up

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Speaker 2: in my office and I was.

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Speaker 3: Like, Wow, that's that's pretty cool. That actually meant something.

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Speaker 4: How were we it rising?

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Speaker 3: I think it was about two years so.

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Speaker 1: We've significantly surpassed.

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Speaker 4: The time we had together.

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Speaker 3: At oh absolutely Rising.

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Speaker 5: Yes.

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Speaker 2: Yeah, so it was to June of twenty nineteen when

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Speaker 2: I officially started hosting Rising with you. I think that's

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Speaker 2: like the official jump off point. And yeah, we left

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Speaker 2: exactly two years later.

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Speaker 3: So there you go. Wow, twenty twenty one, so very

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Speaker 3: very end.

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Speaker 1: So it's crazy three years to me, because to me

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Speaker 1: it still feels like new, like gretty yesterday. Yeah, like

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Speaker 1: you're still baby show, getting our legs under as et cetera.

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Speaker 4: So it's definitely flown by.

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Speaker 2: You're the ones that made it possible. Thank we love you,

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Speaker 2: and we thank you. All right, let's begin with Biden.

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Speaker 2: As Crystal said, I mean, this is something that came

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Speaker 2: out yesterday would tease a little bit in our show,

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Speaker 2: but we wanted to spend a lot of time here

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Speaker 2: because I mean, this is the biggest flashing red sign

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Speaker 2: that you could possibly have for Joe Biden. The polls

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Speaker 2: have basically been steady now and steadily declining for him.

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Speaker 2: Let's go and put this up there on the screen.

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Speaker 2: I mean, this is just stunning stuff. So here we

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Speaker 2: have in the five key states, quote, young and non

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Speaker 2: white voters expressing discontent with Biden, and the overall top

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Speaker 2: line numbers here are absolutely brutal. So we have Donald

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Speaker 2: Trump only behind Joe Biden in one swing state, and

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Speaker 2: that's the state of Wisconsin, and that's actually inside the

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Speaker 2: margin of error, so forty five percent for Donald Trump

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Speaker 2: and Joe Biden at forty seven. But everywhere else in Pennsylvania,

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Speaker 2: Trump is up by three. In Arizona, Trump is up

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Speaker 2: by seven, In Michigan, Trump is up by seven. In

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Speaker 2: Georgia you have Trump up by ten points. And in

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Speaker 2: Nevada you have him up by twelve. Oh so, I

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Speaker 2: mean so massively outside the margin of error that there's

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Speaker 2: basically only two options Biden is on track for like

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Speaker 2: catastrophic loss or the polls are totally wrong again. And

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Speaker 2: by the way, I do not want to discount that possibility,

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Speaker 2: because it's not like the New York Times cien pol

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Speaker 2: was all that correct.

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Speaker 3: I'll put that at the top.

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Speaker 4: In the past, it was off in the other direction.

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Speaker 1: It overstated in the last election. The last New York

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Speaker 1: Times Siena Pol going into election date significantly overstated Joe

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Speaker 1: Biden's support, including I think they had him winning Wisconsin

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Speaker 1: by like ten points or something like that. It was

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Speaker 1: barely Yeah, so who knows, like you have to hold

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Speaker 1: that possibility out there actually given Democratic Party results, which

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Speaker 1: have performed polls in a lot of these special elections,

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Speaker 1: but twelve points in Nevada, that is way outside of

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Speaker 1: the margin of error. And also soccer, It's not like

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Speaker 1: these poll numbers are you know, the only ones out.

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Speaker 4: They're not a big outlier.

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Speaker 1: We've been seeing even at the times when Joe Biden

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Speaker 1: seemed like he was doing a little better in the

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Speaker 1: national head to heads, the battleground polls that would come out,

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Speaker 1: they've always looked terrible. But you know, this is considered

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Speaker 1: really a like gold standard pole. They invest a lot

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Speaker 1: of money, there's a lot of credence put into these polls,

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Speaker 1: especially in Democratic circles, and for it to be this

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Speaker 1: disastrous is really something.

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Speaker 3: Absolutely.

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Speaker 2: What's even more interesting, and of course counter narrative is

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Speaker 2: where are these gains coming from? So I will read

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Speaker 2: mister Trump's strength is largely things to gains amongst young

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Speaker 2: black and Hispanic voters. Actually, Biden's doing pretty damn well

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Speaker 2: amongst white folks, and even better if you want to

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Speaker 2: consider suburban ladies. Now, it says here the sense mister

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Speaker 2: Biden would do little to improve the nation's fortunes has

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Speaker 2: eroded his standing amongst the young, black, and Hispanic voters,

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Speaker 2: who have usually represented the foundation of the Democratic Party.

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Speaker 2: They found that the three groups want fundamental changes to

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Speaker 2: American society, not just a return to normalcy. Few believe

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Speaker 2: mister Biden would make even minor changes that would be

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Speaker 2: good for the country. I can't say that they're wrong

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Speaker 2: given what we've had for four years. Right now, it

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Speaker 2: says that amongst eighteen to twenty nine year olds, Trump

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Speaker 2: is actually tied with Joe Biden. Amongst young voters and

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Speaker 2: Hispanic voters, these are groups which previously would vote for

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Speaker 2: Biden at what sixties almost seventy percent margins. I only

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Speaker 2: have to go back to twenty sixteen to see Donald

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Speaker 2: Trump only win some thirty percent of the Latino vote.

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Speaker 2: I mean, right now he's on track to win fifty

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Speaker 2: and if you segregate that out and make it just men,

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Speaker 2: it's probably on track to win.

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Speaker 3: A pretty large majority of those votes.

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Speaker 2: I mean, that's a massive realignment that's happened just in

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Speaker 2: the last eight years. Now Here, also amongst black voters.

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Speaker 2: It says that Trump is currently winning about twenty percent

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Speaker 2: of black voters. That would be the highest level of

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Speaker 2: Black support for a Republican presidential candidate since the enactment

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Speaker 2: of the Civil Rights Act of nineteen sixty four. And Gaza,

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Speaker 2: of course, is one that we can't erase. Inside of this,

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Speaker 2: we see significant dissatisfaction from President Biden's left on the

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Speaker 2: issue of Gaza. But Chrystal, I'll let you go on this,

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Speaker 2: because what you flagged is that Gaza is the only

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Speaker 2: thing where left voters are really abandoning. It's actually a

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Speaker 2: lot of very centrist types who are like, I'm done

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Speaker 2: with this guy, I can't do with it.

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Speaker 1: Yeah, So I'll read you what at their ride up

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Speaker 1: and then we can talk about a little bit more.

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Speaker 1: They say, mister Biden's losses are concentrated among moderate and

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Speaker 1: conservative Democratic leaning voters who nonetheless think that the system

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Speaker 1: needs major changes or to be torn down altogether. There's

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Speaker 1: so many things in there that, in your language, sagas

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Speaker 1: counter narrative.

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Speaker 4: First of all, the fact.

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Speaker 1: That these quote unquote centrist voters just want like, don't

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Speaker 1: mess with the status quot very much. Actually, these voters

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Speaker 1: are like, man, screw this whole systems doesn't serve anybody

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Speaker 1: like I hate this, dude. I don't care if you're

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Speaker 1: threatening you with Trump. It's a radical view of the country,

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Speaker 1: even from people who are self described as moderate or

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Speaker 1: conservative Democratic leaning voters. Trump wins just two percent of

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Speaker 1: mister Biden's very liberal twenty twenty voters who think the

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Speaker 1: system at least needs maje or changes, compared with sixteen

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Speaker 1: percent of those who are moditor or conservative. However, so

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Speaker 1: most of the losses from Biden's twenty twenty coalition are

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Speaker 1: coming among those more centrist or more conservative Democratic leaning voters. However,

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Speaker 1: the one exception is on Gaza, where you do have

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Speaker 1: erosion among Biden's support with young and more progressive voters.

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Speaker 4: That's what they say.

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Speaker 1: One exception is Israel's war in Gaza, an issue on

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Speaker 1: which most of mister Biden's challenge appears to come from.

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Speaker 3: Is left.

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Speaker 1: Around thirteen percent of the voters who say they voted

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Speaker 1: for Biden last time but do not plan to do

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Speaker 1: so again say that his foreign policy or the war

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Speaker 1: in Gaza was the most important issue to their vote.

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Speaker 1: Just seventeen percent of those voters reported sympathizing with Israel

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Speaker 1: over the Palestinians. So if you take the pool of

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Speaker 1: voters who say I voted for Biden last time, I'm

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Speaker 1: not doing it again, thirteen percent of them it's over

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Speaker 1: his policy Visa vi Gaza, and overwhelmingly it's because they

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Speaker 1: find him to be too too support of Israel, too

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Speaker 1: ambivalent to the humanitarian concerns of Palestinians. So just problems

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Speaker 1: really across the board for Biden and Sacer, you know,

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Speaker 1: is zooming out because you're right to point out that

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Speaker 1: much of his erosion, if not all, of his erosion,

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Speaker 1: comes among the young and among non white voters. You know,

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Speaker 1: thinking about young people in particular. Not only do you

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Speaker 1: have obviously Isra's Warren Gaza, which we've talked a lot

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Speaker 1: about and political impact of that as well. But you know,

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Speaker 1: the real case that the Democrats make is you got

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Speaker 1: to vote for us to be a bulwark against Trump.

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Speaker 1: Trump is going to fix your public life for nearly

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Speaker 1: a decade now in term of political public life. And

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Speaker 1: so if you think about people who were coming of

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Speaker 1: age when Donald Trump was, you know, running his campaign

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Speaker 1: and assending to the presidency like he doesn't feel abnormal

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Speaker 1: to them. This has been their adult life. So this

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Speaker 1: idea of like, oh this is you know, this is

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Speaker 1: extremely abnormal and we have to do everything we can

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Speaker 1: to forestall this potential result of Donald Trump is sending

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Speaker 1: again to the presidency. It just doesn't carry the water

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Speaker 1: with them that it may with older voters who have

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Speaker 1: a different conception of what the American president should see

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Speaker 1: should be like in a much longer you know, personal

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Speaker 1: history and experience of what that office looks like. Where

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Speaker 1: Donald Trump still feels like this giant abnormality in American politics,

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Speaker 1: and so I think that's part of the generational divide

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Speaker 1: here as well. And then look obviously Biden being old

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Speaker 1: and enfeebled and the people feeling really bad about the economy,

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Speaker 1: these are terrible things for him that you know, maybe

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Speaker 1: he should think about potentially running on an actual plan

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Speaker 1: to deliver from people on the economy versus what is

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Speaker 1: clearly not working, which is just saying abortion and Trump

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Speaker 1: is bad.

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Speaker 3: Yeah, no, you're right.

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Speaker 2: I mean literally all you have to do is look

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Speaker 2: at any of the signs that matter most, and I

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Speaker 2: think that's the ability to make it. You have huge

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Speaker 2: problems with wages. They always brag about their unemployment rate.

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Speaker 2: Unemployment rate doesn't matter when you have millions of people

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Speaker 2: who've even dropped out of the workforce, underemployed, not making

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Speaker 2: enough wages to keep up with inflation. I've got it

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Speaker 2: right here in front of me. Even the front page

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Speaker 2: of the New York Times this morning is high interest

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Speaker 2: rates are hitting poorer American's hardest. Yeah, you think, you know,

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Speaker 2: imagine having to explain that to your New York Times

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Speaker 2: subscriber audience, like, Wow, I had no idea that it

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Speaker 2: was so difficult out there that, Oh, it turns out

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Speaker 2: if you're twenty eight or twenty nine. Great point, which is,

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Speaker 2: if you're twenty eight or twenty nine, only a couple

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Speaker 2: of years younger than me and basically.

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Speaker 3: Your entire adult life.

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Speaker 2: Donald Trump really became a true political figure with birth rhythm.

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Speaker 3: That was twenty eleven.

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Speaker 2: That's been more than a decade now, it's thirteen years

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Speaker 2: of your entire political life that you've known about this guy.

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Speaker 2: You've seen all the I mean, look as somebody was there,

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Speaker 2: you know, young and coming up in the business. Seeing

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Speaker 2: what he did in twenty sixteen, that was crazy. This

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Speaker 2: time around it just doesn't feel crazy anymore because it's not.

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Speaker 2: We live through the presidency. I know what it was like.

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Speaker 2: Wasn't that bad a lot of people for especially when

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Speaker 2: you compare the economic data, You're like, listen, it was unambiguous.

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Speaker 2: I definitely was better off under Trump. Now, there's a

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Speaker 2: lot of factors. But you know, I'm here.

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Speaker 3: The Biden administration basically wants to sit there and.

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Speaker 2: Let you explain to them why it's not their fault

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Speaker 2: it's actually Trump's fault and democracy and abortion and all that.

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Speaker 2: And I won't discount that. I think it is very important.

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Speaker 2: But the truth is, is it just not landing, And

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Speaker 2: I don't think it should. Let's put this up there

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Speaker 2: as well on the screen, because we, of course were

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Speaker 2: leaving out RFK Junior in some of this analysis. They

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Speaker 2: also included RFK Junior in the three way or actually

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Speaker 2: in a five way race. So here's what we have

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Speaker 2: in Nevada, and this is with RFK Junior, Jill Stein

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Speaker 2: and all of them who are included. In Nevada, Trump

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Speaker 2: is up fourteen percent with RFK Junior on the ballot.

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Speaker 2: In Georgia, Trump is up eight percent with RFK Junior

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Speaker 2: on the ballot. In Wisconsin, Trump is up, it's up

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Speaker 2: by one percent. With RFK Junior. Michigan, Biden is only

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Speaker 2: up by three. Pennsylvania, Trump is up by four. Arizona,

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Speaker 2: Trump is up by nine. Now keep in mind that

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Speaker 2: you might be tempted to say, oh, this means that

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Speaker 2: RFK Junior is taking more away from Trump or from Biden.

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Speaker 2: It's actually not true. He draws equally according to these

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Speaker 2: cross tabs, both from Joe Biden and from Donald Trump.

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Speaker 2: It's just that the lead for Trump gets exacerbated when

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Speaker 2: you also include Jill Stein in some of these, where

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Speaker 2: you see both the libertarian candidate and Jill Stein draw

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Speaker 2: significantly more away from Joe Biden. So it is clear

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Speaker 2: now too why Joe Biden has been so undemocratic in

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Speaker 2: the Democratic primary and others, because it is very obvious

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Speaker 2: that any any third party ballot is just devastating for

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Speaker 2: him because it gives people options. The less options that

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Speaker 2: people can have, they're gonna be bad for him. Trump too,

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Speaker 2: by the way, I mean, even though he is leading

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Speaker 2: in this, it's not like he isn't winning in these cases.

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Speaker 2: He's winning only a plurality, not nearly. You know, any

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Speaker 2: sort of outright majority in any of these states.

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Speaker 1: Can we put those numbers back up on the screen,

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Speaker 1: because I just want to emphasize the Nevada numbers, which

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Speaker 1: are stunning. Okay, look at this Trump forty four, Biden

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Speaker 1: thirty thirty percent of the vote in a state that

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Speaker 1: you won pretty handily. It wasn't all that close in

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Speaker 1: the end. Last time around, RFK Junior pulling eleven percent.

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Speaker 1: Map said, who's I guess anticipated to be the Libertarian candidate?

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Speaker 4: Their convention is what this weekend?

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Speaker 1: Something like that in any case pulling two percent and

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Speaker 1: Jill Stein pulling one percent. Thirty percent of the vote.

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Speaker 1: Zejilani floated on Twitter, which I think is an interesting

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Speaker 1: theory that part of why Biden is doing particularly bad

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Speaker 1: in a place like Nevada is, I mean, for one thing,

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Speaker 1: you have this younger, more working class, and more diverse

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Speaker 1: electorate where you know, they're looking at the interest rate phenomenon,

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Speaker 1: the fact like I'm never going to be able to

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Speaker 1: afford a house and now am I ever going to

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Speaker 1: send my kids to college? And young people are looking

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Speaker 1: like what future do I possibly have? And you know

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Speaker 1: it's directly downstream of that that you see these huge

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Speaker 1: gulf emerge in favor of Donald Trump. It's really I mean,

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Speaker 1: it's really astonishing if these polls are anywhere close to correct,

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Speaker 1: like it's.

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Speaker 4: Something dramatic, dramatic.

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Speaker 1: Would really have to change in favor of Joe Biden.

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Speaker 4: You know.

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Speaker 1: The one other thing that I just want to point

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Speaker 1: out because it's a particular annoyance for me, is I

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Speaker 1: saw all kinds of you know, centrist types on Twitter,

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Speaker 1: like scolding the lad dare you criticized Biden over Israel

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Speaker 1: and your gosslame the election?

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Speaker 4: Blah blah blah.

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Speaker 1: Just first of all, people have a right to criticize

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Speaker 1: the president, especially when he's enabling with our tax dollars atrocities.

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Speaker 1: So just from a moral perspective, that position, to me

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Speaker 1: is completely bankrupt. But second of all, it's not even

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Speaker 1: consistent with where the biggest problems are for Joe Biden.

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Speaker 1: Where's the scolding of the moderates and the centrists in

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Speaker 1: the conservative leaning Democrats who are fleeing him over a

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Speaker 1: variety of issues, but I think economic issues in particular,

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Speaker 1: and just their sense that he's too frick and old

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Speaker 1: as well. Where's that scolding and freak out and you know,

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Speaker 1: preparing to blame them and throw them under the bus

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Speaker 1: for handing the election or being secret Trump supporters or whatever.

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Speaker 1: So there's a lot in here that really does dispel

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Speaker 1: some of the media narratives about the contours of this election.

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Speaker 1: But given how close it was last time around, it

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Speaker 1: is true that any one piece of this coalition eroding

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Speaker 1: away from Joe Biden, any one piece, could be fatal

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Speaker 1: for his reelection chances.

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Speaker 4: And when you have multiple piece.

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Speaker 1: Basically the only people who are really strong with him

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Speaker 1: and been consistent are like old white people.

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Speaker 3: Yeah, that's pretty much it, right, And.

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Speaker 1: So when you have erosion everywhere else, what do you

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Speaker 1: think the picture is going.

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Speaker 4: To look like?

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Speaker 3: Absolutely?

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Speaker 2: You know, I would be remiss too important about Nevada.

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Speaker 2: You know, the gas price in Nevada is still four

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Speaker 2: dollars and forty cents a gallon, and actually it's five

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Speaker 2: twenty in California. I don't know how you wow out there,

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Speaker 2: that's crazy, But Nevada, I mean, the economy in Nevada

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Speaker 2: has always been very, very sensitive not only to gas prices, tourism,

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Speaker 2: high inflation. That's going to affect people who are coming

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Speaker 2: in lower overall consumer spending. That's what they're particularly vulnerable to.

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Speaker 2: So it would make sense to me also that they're

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Speaker 2: very attuned. Their housing market has also always been crazy,

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Speaker 2: basically see since two thousand and eight. So all of

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Speaker 2: that comes back to the actual fundamentals.

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Speaker 3: Here you have.

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Speaker 2: Again we'll play CNN's Harry End and it's just always

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Speaker 2: amusing to see people in mainstream spaces.

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Speaker 3: Have to grapple with what's going on. And here's what

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Speaker 3: he had to say.

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Speaker 6: I think it's essentially saying that we have a divide

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Speaker 6: between the Sumbout and Great Lake battleground states. All Right,

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Speaker 6: you know, these are all six states that Joe Biden

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Speaker 6: won last time around. They won by the closest margin

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Speaker 6: of enery states. He wont look these sumbout battleground states.

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Speaker 6: Frankly for the Joe Biden campaign. These numbers are an

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Speaker 6: absolute disaster. The smallest leaders in Arizona for Donald Trump,

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Speaker 6: He's up six. Look at this nine in Georgia, thirteen

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Speaker 6: in Nevada. My goodness, gracious, my god, that is a

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Speaker 6: huge lead. No Democrat has lost that state since John

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Speaker 6: Kerry lost it back in two thousand and four. About

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Speaker 6: these Great Lake battleground states. This is something that the

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Speaker 6: Joe Biden campaign can work with. Look, Pennsylvania, Donald Trump

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Speaker 6: up three, but that's well within the margin of error. Wisconsin,

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Speaker 6: donald Trump up one, well within the margin of error.

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Speaker 6: And actually a Joe Biden lead well within the margin

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Speaker 6: of error up a point here. This they can work

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Speaker 6: with the Joe Biden campaign. This the Donald campaign. Donald

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Speaker 6: Trump campaign absolutely loves and it looks like a lot

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Speaker 6: of the other polling out of the Sunbelt battle and

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Speaker 6: the Trump coalition is changing. That's basically what's cooking here.

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Speaker 6: This is at least one of the big reasons why

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Speaker 6: so this is among likely voters in these in all

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Speaker 6: these battleground states we just spoke about. Back in twenty twenty,

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Speaker 6: eighty four percent of the Trump campaigns, the Trump coalition

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Speaker 6: was white. Look where it is now, it's seventy eight percent.

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Speaker 6: The non white portion of the Trump coalition. It was

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Speaker 6: thirteen percent in twenty twenty. Look at this now it's

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Speaker 6: nineteen percent.

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Speaker 3: Yep.

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Speaker 2: I mean, he's laying out exactly and it's just the

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Speaker 2: stunning nature that comes to him is amazing. You also,

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Speaker 2: we have some of the quotes just from people it's

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Speaker 2: always good to hear actual anecdotal Why exactly I am

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Speaker 2: the way I am right now, let's put this up

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Speaker 2: there on the screen. This is, for example, somebody who's

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Speaker 2: voting split ticket and Brian Dickinson. He's a twenty five

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Speaker 2: year old registered Democrat. He says, Jackie Rosen has been

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Speaker 2: around a long time. He said he was considering splitting

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Speaker 2: his ticket and voting for Trump. I think she's a

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Speaker 2: very good Democrat. Let's go to the next one.

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Speaker 3: I love people now.

438
00:20:24,480 --> 00:20:28,000
Speaker 2: This guy, Terry Crabtree. He is a disabled, fifty two

439
00:20:28,040 --> 00:20:30,840
Speaker 2: year old from Maricopa County. He says, I'm not a

440
00:20:30,840 --> 00:20:33,600
Speaker 2: party person. I am more for the state, and Diego

441
00:20:33,640 --> 00:20:35,040
Speaker 2: has done a good job for the state.

442
00:20:35,119 --> 00:20:36,400
Speaker 4: I cannot democrat Bay.

443
00:20:36,400 --> 00:20:38,960
Speaker 2: He's a Democrat, and he says I cannot stand Biden.

444
00:20:39,080 --> 00:20:40,600
Speaker 2: I think he ought to be in prison. I think

445
00:20:40,640 --> 00:20:43,040
Speaker 2: Trump should be in prison as well. I hate being

446
00:20:43,080 --> 00:20:44,400
Speaker 2: given those two choices.

447
00:20:45,160 --> 00:20:46,040
Speaker 4: Relatable sentiment.

448
00:20:46,240 --> 00:20:48,760
Speaker 2: Next one, this is Joseph Gonzalez. He is a sixty

449
00:20:48,800 --> 00:20:51,919
Speaker 2: year old Hispanic truck driver in Milwaukee. This is of

450
00:20:51,960 --> 00:20:54,600
Speaker 2: Tammy Baldwin. He says, I think I like what she's

451
00:20:54,640 --> 00:20:56,639
Speaker 2: basically doing. But on Biden, he says, I do not

452
00:20:56,800 --> 00:20:59,159
Speaker 2: like what Biden is doing. He's failing for the United

453
00:20:59,160 --> 00:21:02,719
Speaker 2: States one please. And what you see in all of

454
00:21:02,760 --> 00:21:05,640
Speaker 2: these is that you basically have a lot of people

455
00:21:05,640 --> 00:21:08,440
Speaker 2: who are willing to split tickets. Because what we didn't

456
00:21:08,440 --> 00:21:10,600
Speaker 2: show you is that in the same poll that had

457
00:21:10,640 --> 00:21:14,000
Speaker 2: Trump winning every single swing state, the Democrats are up

458
00:21:14,000 --> 00:21:17,800
Speaker 2: in every Senate state. Bob Casey beating Dave McCormick. You

459
00:21:17,800 --> 00:21:21,440
Speaker 2: have Jackie Rosen, She's up over her opponent in Nevada.

460
00:21:21,480 --> 00:21:23,800
Speaker 2: I mean, you actually have a case where, I.

461
00:21:23,720 --> 00:21:24,639
Speaker 3: Mean, this would be nuts.

462
00:21:24,680 --> 00:21:27,080
Speaker 2: So let's say this is correct, where Trump would win

463
00:21:27,200 --> 00:21:29,200
Speaker 2: not only the popular vote with the electoral college, but

464
00:21:29,280 --> 00:21:33,280
Speaker 2: the Democrats would actually be actually win every single contested

465
00:21:33,320 --> 00:21:35,399
Speaker 2: election and keep the US Senate.

466
00:21:35,720 --> 00:21:37,800
Speaker 3: That's totally within the possibility with.

467
00:21:37,840 --> 00:21:40,280
Speaker 4: Am absolutely is and I think it's another.

468
00:21:41,200 --> 00:21:45,640
Speaker 1: So the Democratic cope, which is with some basis right,

469
00:21:45,800 --> 00:21:47,879
Speaker 1: is that Okay, yeah, we've been seeing these poles that

470
00:21:47,920 --> 00:21:49,919
Speaker 1: are bad for a while, including before the midterms when

471
00:21:49,960 --> 00:21:53,080
Speaker 1: we outperformed. Let's not forget that. But you know, when

472
00:21:53,160 --> 00:21:56,200
Speaker 1: it comes to voters actually going to the polls, they

473
00:21:56,240 --> 00:22:00,320
Speaker 1: are backing Democrats, and the polls are understating Democratic support go,

474
00:22:00,680 --> 00:22:02,760
Speaker 1: we don't buy these polls. There's just an Axios piece

475
00:22:02,760 --> 00:22:05,200
Speaker 1: this morning about how the Biden team genuinely doesn't believe

476
00:22:05,200 --> 00:22:07,639
Speaker 1: the polls. They think it's all well and good. They

477
00:22:07,720 --> 00:22:10,919
Speaker 1: think they're perfectly fine, and that is the basis for

478
00:22:11,040 --> 00:22:14,760
Speaker 1: their reasoning. Well, what you see in these polls is

479
00:22:14,800 --> 00:22:17,639
Speaker 1: that no, no, no. The fact that we're voting for

480
00:22:17,760 --> 00:22:22,080
Speaker 1: Democrats at the state level, for Congress, even for Senate,

481
00:22:22,600 --> 00:22:24,800
Speaker 1: that has nothing to do with Joe Biden. Joe Biden

482
00:22:24,880 --> 00:22:28,520
Speaker 1: is a different matter altogether, and there's a different sentiment

483
00:22:28,600 --> 00:22:30,679
Speaker 1: when it comes to him. And so that's why it's

484
00:22:30,720 --> 00:22:34,840
Speaker 1: so interesting to hear these swing state voters who are saying, no, Actually,

485
00:22:34,880 --> 00:22:37,120
Speaker 1: I like Ruben Gag, I like Jackie Rose. I think

486
00:22:37,160 --> 00:22:38,920
Speaker 1: she's a good Democrat. I think she's doing good job.

487
00:22:38,960 --> 00:22:41,120
Speaker 1: Tam Baldwin, I'm good with these sort of like more

488
00:22:41,280 --> 00:22:46,040
Speaker 1: generic Democrats, but I have a specific negative sentiment about

489
00:22:46,119 --> 00:22:49,440
Speaker 1: Joe Biden. And so at least according to these polls,

490
00:22:49,520 --> 00:22:54,199
Speaker 1: you could see some remarkable levels of ticket splitting that

491
00:22:54,280 --> 00:22:56,600
Speaker 1: we haven't seen in years. I mean, the whole trend

492
00:22:56,640 --> 00:22:58,760
Speaker 1: has been in the opposite direction, where people are party

493
00:22:58,800 --> 00:23:01,439
Speaker 1: line voters, and it's all tribal, and it's all just

494
00:23:01,560 --> 00:23:04,280
Speaker 1: divided by what your party affiliation is, and so there's

495
00:23:04,400 --> 00:23:07,000
Speaker 1: very little splitting of the ticket between you know, presidential

496
00:23:07,000 --> 00:23:11,040
Speaker 1: Canada Senate candidate or on down the line. These poles say, no,

497
00:23:11,560 --> 00:23:18,359
Speaker 1: Joe Biden is performing uniquely badly among all voters. And

498
00:23:18,440 --> 00:23:21,160
Speaker 1: so you could very well see, if again these polls

499
00:23:21,160 --> 00:23:23,879
Speaker 1: are accurate, a situation where the rest of the Democratic

500
00:23:23,920 --> 00:23:27,879
Speaker 1: Party ticket does great. The ballot initiative, abortion ballot initiatives

501
00:23:27,880 --> 00:23:30,080
Speaker 1: for you know, on the pro choice side do fantastic.

502
00:23:30,119 --> 00:23:32,879
Speaker 1: The congressional people running for Congress, for the House, for

503
00:23:32,920 --> 00:23:35,720
Speaker 1: the Senate, etc. Do great on the Democratic side, and

504
00:23:35,800 --> 00:23:38,560
Speaker 1: Joe Biden gets his butt handed to him. That is

505
00:23:38,680 --> 00:23:41,000
Speaker 1: a real scenario that is on the table right now.

506
00:23:41,119 --> 00:23:42,600
Speaker 1: I just want to go back and make one comment

507
00:23:42,600 --> 00:23:46,359
Speaker 1: about the Harry Enton analysis there where he had you know,

508
00:23:46,400 --> 00:23:49,000
Speaker 1: the sun Belt States versus the what used to be

509
00:23:49,040 --> 00:23:52,720
Speaker 1: called the blue Wall States piled you know, industrial Midwest,

510
00:23:53,280 --> 00:23:57,560
Speaker 1: and it's very clear why Biden is kind of hanging

511
00:23:57,600 --> 00:24:00,960
Speaker 1: in there in the Blue Wall States versus getting obliterated

512
00:24:01,119 --> 00:24:03,960
Speaker 1: in the sun Belt States, which he won last time

513
00:24:03,960 --> 00:24:06,400
Speaker 1: with much fanfare. And this was the new Democratic Coalition,

514
00:24:06,400 --> 00:24:09,040
Speaker 1: et cetera, et cetera. It's because those Sun Belt states

515
00:24:09,080 --> 00:24:12,840
Speaker 1: are younger and more diverse, and the industrial Midwestern states

516
00:24:12,960 --> 00:24:16,200
Speaker 1: have more older white people, and that's who Joe Biden

517
00:24:16,359 --> 00:24:17,560
Speaker 1: is continuing to.

518
00:24:17,520 --> 00:24:20,880
Speaker 4: Do well with. So that's why you see that divide.

519
00:24:21,320 --> 00:24:24,480
Speaker 1: And I think that Harry Enton is right to say, listen,

520
00:24:24,560 --> 00:24:26,280
Speaker 1: if you're going to make a stand and you're going

521
00:24:26,320 --> 00:24:28,640
Speaker 1: to try to eke out your narrow path to two seventy,

522
00:24:29,000 --> 00:24:32,040
Speaker 1: the place to really place your bets is, you know, Wisconsin, Michigan,

523
00:24:32,119 --> 00:24:35,359
Speaker 1: Pennsylvania versus Nevada, Arizona, Georgia.

524
00:24:35,640 --> 00:24:35,880
Speaker 3: Yeah.

525
00:24:35,920 --> 00:24:38,439
Speaker 2: No, I think you're absolutely right. And look, let's not

526
00:24:38,480 --> 00:24:41,840
Speaker 2: erase it's still you know, it's only May. There're several

527
00:24:41,880 --> 00:24:46,800
Speaker 2: months ago. Abortion has scrambled everything. Recent evidence suggests that

528
00:24:46,840 --> 00:24:51,280
Speaker 2: we should not undercount Democratic support. Further, recent evidence says

529
00:24:51,280 --> 00:24:53,840
Speaker 2: we should not underestimate Trump support in all of these

530
00:24:53,920 --> 00:24:56,320
Speaker 2: So we genuinely have no idea. But just to underscore

531
00:24:56,359 --> 00:24:57,840
Speaker 2: how big of a problem this is, let's put this

532
00:24:57,920 --> 00:24:59,040
Speaker 2: up there on the screen.

533
00:24:59,119 --> 00:25:01,040
Speaker 3: This is what the elector College would look like if

534
00:25:01,080 --> 00:25:02,240
Speaker 3: there were no toss ups.

535
00:25:02,280 --> 00:25:05,560
Speaker 2: According to the RCP, polling average, Joe Biden would win

536
00:25:05,640 --> 00:25:08,720
Speaker 2: two hundred and twenty six electoral votes. Trump would win

537
00:25:08,880 --> 00:25:12,040
Speaker 2: a stunning three hundred and twelve. I mean, we have

538
00:25:12,119 --> 00:25:14,879
Speaker 2: not actually seen an electoral college victory like that in

539
00:25:15,080 --> 00:25:17,720
Speaker 2: a long time in this country, so that would certainly

540
00:25:17,720 --> 00:25:20,760
Speaker 2: be something to wake up on. Whatever in what is

541
00:25:20,800 --> 00:25:23,960
Speaker 2: it November fifth, twenty twenty four, Please don't prosecute me

542
00:25:24,000 --> 00:25:26,000
Speaker 2: for election missing.

543
00:25:26,200 --> 00:25:27,200
Speaker 3: I'm just speculating.

544
00:25:27,280 --> 00:25:29,600
Speaker 2: I'm not putting it out there, but let's put the

545
00:25:29,600 --> 00:25:31,480
Speaker 2: next one there up on the screen. This is also

546
00:25:31,800 --> 00:25:36,280
Speaker 2: important to highlight because this is from an anonymous Twitter account.

547
00:25:36,320 --> 00:25:38,280
Speaker 2: You miss voted a great guy, by the way he says,

548
00:25:38,480 --> 00:25:41,760
Speaker 2: or know who it is. We are back to twenty sixteen.

549
00:25:41,800 --> 00:25:44,320
Speaker 2: People want to tear down the system entirely or want

550
00:25:44,359 --> 00:25:47,440
Speaker 2: major changes. This highlights what you said. Most Americans think

551
00:25:47,440 --> 00:25:49,879
Speaker 2: that the system needs to change. The system needs to

552
00:25:49,880 --> 00:25:53,959
Speaker 2: be torn down entirely fourteen percent, Major changes fifty five percent,

553
00:25:54,280 --> 00:25:57,280
Speaker 2: no change twenty seven percent. And I think really what

554
00:25:57,320 --> 00:25:59,639
Speaker 2: you see too, is with Trump support about who they

555
00:25:59,680 --> 00:26:01,160
Speaker 2: think is going to bring more change.

556
00:26:01,359 --> 00:26:03,280
Speaker 3: This has always been Trump's fundamental strength.

557
00:26:03,359 --> 00:26:04,959
Speaker 2: Twenty five percent of people think it's going to tear

558
00:26:05,000 --> 00:26:08,440
Speaker 2: down the system entirely, and a major forty five percent

559
00:26:08,440 --> 00:26:10,919
Speaker 2: of people think he will bring major changes. Trump was

560
00:26:10,960 --> 00:26:14,600
Speaker 2: the chaos, shake things up candidate, and this gets right

561
00:26:14,640 --> 00:26:18,720
Speaker 2: as he aptletely correct. Twenty sixteen is the correct metaphor

562
00:26:18,720 --> 00:26:22,280
Speaker 2: because twenty sixteen was a status quo or a change election.

563
00:26:22,720 --> 00:26:25,679
Speaker 2: Twenty twenty was kind of It was a change election,

564
00:26:25,760 --> 00:26:28,439
Speaker 2: but I guess change away from the chaos, and this

565
00:26:28,520 --> 00:26:32,080
Speaker 2: kind of validates a theory of politics that basically posts

566
00:26:32,359 --> 00:26:35,840
Speaker 2: nineteen ninety six. Every election, almost for the last twenty

567
00:26:35,840 --> 00:26:39,360
Speaker 2: something years has been a quote unquote change election. It's

568
00:26:39,400 --> 00:26:41,679
Speaker 2: just that who and what we think of change in

569
00:26:41,720 --> 00:26:45,280
Speaker 2: that time is what really motivates people to come to

570
00:26:45,359 --> 00:26:48,360
Speaker 2: the ballot box. This is a totally different switch from

571
00:26:48,359 --> 00:26:50,400
Speaker 2: the early center. I'm reading a book right now called

572
00:26:50,440 --> 00:26:53,119
Speaker 2: crand Expectations, which is all about the United States from

573
00:26:53,160 --> 00:26:55,159
Speaker 2: nineteen forty five to nineteen seventy two.

574
00:26:55,440 --> 00:26:57,120
Speaker 3: It is fascinating for me to.

575
00:26:57,240 --> 00:27:00,120
Speaker 2: Think and put my head in a space where Americans

576
00:27:00,160 --> 00:27:03,240
Speaker 2: not only had faith, but a deep love and affection

577
00:27:03,400 --> 00:27:06,240
Speaker 2: for the institutions and for the status quo. We don't

578
00:27:06,280 --> 00:27:09,240
Speaker 2: live in that time anymore. It is we're really living

579
00:27:09,320 --> 00:27:12,359
Speaker 2: through nineteen thirties again or in nineteen twenties, like complete

580
00:27:12,760 --> 00:27:17,199
Speaker 2: just dissatisfaction, chaos, not just from protests and others. We

581
00:27:17,240 --> 00:27:19,639
Speaker 2: had a brief period in the nineteen sixties, but this

582
00:27:20,240 --> 00:27:24,120
Speaker 2: is a sustained period of people wanting change now for

583
00:27:24,160 --> 00:27:27,800
Speaker 2: so long that it is it is very reminiscent of

584
00:27:28,119 --> 00:27:30,200
Speaker 2: a very long time ago in American history.

585
00:27:30,359 --> 00:27:34,000
Speaker 1: Yeah, this theory of recent politics is that you have

586
00:27:34,119 --> 00:27:37,520
Speaker 1: this yo yo effect between almost even like presidential personality.

587
00:27:37,600 --> 00:27:39,879
Speaker 1: So you have you know, George W. Bush, who presents

588
00:27:39,960 --> 00:27:42,360
Speaker 1: us this sort of like sider you know, yeah, low

589
00:27:42,440 --> 00:27:45,560
Speaker 1: iq relative, you know, plain spoken whatever, and then the

590
00:27:45,600 --> 00:27:49,600
Speaker 1: backlash to that brings you Obama, the professorial error diite

591
00:27:49,640 --> 00:27:53,639
Speaker 1: like you know, incredibly rhetorically gifted, et cetera, et cetera.

592
00:27:54,200 --> 00:27:57,320
Speaker 1: Then from Obama you go to you know, the populist

593
00:27:57,840 --> 00:28:00,679
Speaker 1: rabble rouser at least that's his affect, Donald try tr so,

594
00:28:00,960 --> 00:28:04,200
Speaker 1: you know, told, whereas Obama is this picture of sort

595
00:28:04,240 --> 00:28:09,560
Speaker 1: of like civilized sophistication, Trump is this you know, rude,

596
00:28:09,960 --> 00:28:14,480
Speaker 1: crude reality TV star. Then you go to Biden. So

597
00:28:14,600 --> 00:28:17,320
Speaker 1: from the chaos of Trump, then it's like, ah, can

598
00:28:17,359 --> 00:28:19,240
Speaker 1: we just have things be like a little bit normal

599
00:28:19,359 --> 00:28:22,919
Speaker 1: and like not crazy every single friking day. Joe Biden

600
00:28:23,000 --> 00:28:30,480
Speaker 1: the picture of like boring standard normalcy in Washington, d C. That, especially,

601
00:28:30,560 --> 00:28:33,720
Speaker 1: you know, coming as he did among like COVID and

602
00:28:33,960 --> 00:28:36,400
Speaker 1: the chaos that was going on there and the incredible

603
00:28:36,400 --> 00:28:39,560
Speaker 1: dissatisfaction with you know, the state of affairs during COVID,

604
00:28:39,960 --> 00:28:42,520
Speaker 1: he's able to come in. And then what these polls

605
00:28:42,520 --> 00:28:45,280
Speaker 1: point to and why they're significant, is the landscape's really

606
00:28:45,320 --> 00:28:48,200
Speaker 1: different from twenty twenty, right, And by the way, you know,

607
00:28:48,280 --> 00:28:51,080
Speaker 1: the sense of like normalcy and the back to brunch

608
00:28:51,160 --> 00:28:51,760
Speaker 1: pitch it.

609
00:28:51,720 --> 00:28:53,920
Speaker 4: Didn't really work out. Still a lot of chaos.

610
00:28:54,000 --> 00:28:57,520
Speaker 1: World still feels incredibly unsettled, maybe more so than ever.

611
00:28:58,040 --> 00:29:00,600
Speaker 1: So what is the Biden pitch this time? Like, what

612
00:29:00,720 --> 00:29:03,880
Speaker 1: is he really selling other than just I'm not Trump

613
00:29:04,280 --> 00:29:09,080
Speaker 1: and you know, abortion, that's it. So according to these polls,

614
00:29:09,240 --> 00:29:12,800
Speaker 1: that's not going to be sufficient for a group of

615
00:29:12,880 --> 00:29:15,120
Speaker 1: voters that overwhelmingly are like, now, we got to do

616
00:29:15,160 --> 00:29:17,440
Speaker 1: some things that are really different at this point because

617
00:29:17,480 --> 00:29:20,720
Speaker 1: this direction we're going on is an absolute disaster. And

618
00:29:20,920 --> 00:29:23,400
Speaker 1: you know, if you're thinking about who's going to overturn

619
00:29:23,440 --> 00:29:26,520
Speaker 1: the apple cart it's not Joe Biden, it's Donald Trump.

620
00:29:26,880 --> 00:29:29,640
Speaker 1: And I think you know, plenty would argue like, Okay,

621
00:29:29,640 --> 00:29:32,240
Speaker 1: we'll change for change sake is not good and chaos

622
00:29:32,360 --> 00:29:34,720
Speaker 1: is not, you know, just inherently a good thing. But

623
00:29:34,800 --> 00:29:37,640
Speaker 1: if you look at the number of people who say

624
00:29:37,640 --> 00:29:40,440
Speaker 1: we want major change or to tear the whole system down,

625
00:29:40,680 --> 00:29:44,040
Speaker 1: those people are overwhelmingly going for Trump, and they make

626
00:29:44,120 --> 00:29:46,560
Speaker 1: up the bulk of American voters at this point. So

627
00:29:46,640 --> 00:29:49,360
Speaker 1: in some ways I think that that those numbers are

628
00:29:49,400 --> 00:29:52,600
Speaker 1: almost the most insightful into what the political climate is

629
00:29:52,760 --> 00:29:55,440
Speaker 1: right now and why it is really not a political

630
00:29:55,440 --> 00:29:59,200
Speaker 1: climate that is conducive to the re election of Joseph Robinette.

631
00:29:59,240 --> 00:30:04,000
Speaker 3: Biden well said, you don't have to take it from

632
00:30:04,080 --> 00:30:04,480
Speaker 3: us here.

633
00:30:04,520 --> 00:30:08,720
Speaker 2: You've got Joe Biden's favorite political commentator, which is always

634
00:30:08,760 --> 00:30:11,440
Speaker 2: very difficult for me to say. Farid with Zakaria over

635
00:30:11,480 --> 00:30:15,200
Speaker 2: at CNN on Saturday giving a monologue that Biden almost

636
00:30:15,200 --> 00:30:19,120
Speaker 2: certainly saw, in which he sounds a very dire warning.

637
00:30:19,280 --> 00:30:20,040
Speaker 3: Let's take a listen.

638
00:30:20,240 --> 00:30:22,400
Speaker 7: None of this is playing out as I thought it would.

639
00:30:22,760 --> 00:30:26,040
Speaker 7: Trump is now leading in almost all the swing states,

640
00:30:26,560 --> 00:30:31,040
Speaker 7: But behind those numbers lie even more troubling details. As

641
00:30:31,080 --> 00:30:34,440
Speaker 7: someone worried about the prospects of a second Trump term,

642
00:30:35,000 --> 00:30:38,479
Speaker 7: I think it's best to be honest about reality. I

643
00:30:38,560 --> 00:30:41,760
Speaker 7: understand that polls are not always accurate, but in general

644
00:30:41,800 --> 00:30:46,080
Speaker 7: they have tended to underestimate Donald Trump's support, not overestimated.

645
00:30:46,520 --> 00:30:49,720
Speaker 7: I doubt that there are many shy Biden voters in

646
00:30:49,760 --> 00:30:52,440
Speaker 7: the country. Perhaps the most worrying new trend for the

647
00:30:52,480 --> 00:30:56,040
Speaker 7: Democrats is that far from being the more unified party,

648
00:30:56,080 --> 00:31:00,360
Speaker 7: they are now bitterly divided over the Warren Gazo. Bernie

649
00:31:00,400 --> 00:31:03,840
Speaker 7: Sanders has said the eruption of pro Palestinian protests could

650
00:31:03,920 --> 00:31:08,000
Speaker 7: be Biden's Vietnam, and even invoked the specter of Lyndon

651
00:31:08,080 --> 00:31:11,560
Speaker 7: Johnson choosing not to run for re election in nineteen

652
00:31:11,600 --> 00:31:15,200
Speaker 7: sixty eight, because with the opposition to that war, the

653
00:31:15,280 --> 00:31:19,840
Speaker 7: analogy is far fetched. America then was itself sending hundreds

654
00:31:19,840 --> 00:31:23,320
Speaker 7: of thousands of troops to Vietnam, with more being recruited

655
00:31:23,560 --> 00:31:27,760
Speaker 7: from college campuses every week. But there's no denying that

656
00:31:27,800 --> 00:31:31,040
Speaker 7: the party seems more openly divided than it has been

657
00:31:31,160 --> 00:31:35,120
Speaker 7: in decades. Only thirty three percent of Americans said they

658
00:31:35,120 --> 00:31:38,560
Speaker 7: approved of Biden's handling of the Israel Hamas War, which

659
00:31:38,600 --> 00:31:41,120
Speaker 7: is now opposed both by people who think he is

660
00:31:41,200 --> 00:31:43,880
Speaker 7: too soft and people who think he is too hard

661
00:31:43,960 --> 00:31:49,000
Speaker 7: on Israel. Meanwhile, Republicans seem to be uniting behind Trump.

662
00:31:49,680 --> 00:31:53,520
Speaker 7: Whatever opposition he faced in the primaries has largely melted away.

663
00:31:53,840 --> 00:31:56,600
Speaker 7: The one that troubles me the most is on the

664
00:31:56,720 --> 00:32:00,960
Speaker 7: question of who was the more competent. Joe Biden led

665
00:32:01,000 --> 00:32:05,000
Speaker 7: Donald Trump by nine points in twenty twenty, but Trump

666
00:32:05,120 --> 00:32:08,520
Speaker 7: now leads by sixteen points in January twenty twenty four.

667
00:32:08,680 --> 00:32:11,640
Speaker 2: Look, can't really dispute a single word of what he says.

668
00:32:11,880 --> 00:32:16,040
Speaker 2: We also have an interesting interview with Charlemagne, the God.

669
00:32:15,840 --> 00:32:19,040
Speaker 3: Who did for The New York Times, interestingly.

670
00:32:18,600 --> 00:32:21,719
Speaker 2: Enough, which perhaps represents some of the sentiment that we

671
00:32:21,760 --> 00:32:24,600
Speaker 2: saw the bleeding way of black voters for Joe Biden.

672
00:32:24,720 --> 00:32:26,320
Speaker 2: This is for what he had to say about why

673
00:32:26,320 --> 00:32:27,760
Speaker 2: he won't be endorsing Biden again.

674
00:32:28,080 --> 00:32:30,240
Speaker 8: I'm not endorsedon because I just feel like I've been

675
00:32:30,240 --> 00:32:32,920
Speaker 8: burned with that before. You know, because you put your

676
00:32:33,880 --> 00:32:36,640
Speaker 8: name on the line, you endorse somebody, You tell your

677
00:32:36,680 --> 00:32:38,440
Speaker 8: audience this is who you should go out there and

678
00:32:38,520 --> 00:32:40,920
Speaker 8: vote for, and your audience goes and does it. And

679
00:32:40,920 --> 00:32:43,600
Speaker 8: then when they don't see these things that they thought

680
00:32:43,600 --> 00:32:45,960
Speaker 8: were going to get pushed through, they don't understand civics.

681
00:32:45,960 --> 00:32:47,000
Speaker 3: They're not thinking about that.

682
00:32:47,000 --> 00:32:49,400
Speaker 8: They're like, all they know is Charlemagne told me to

683
00:32:49,440 --> 00:32:51,360
Speaker 8: vote for this person because this was going to happen,

684
00:32:51,560 --> 00:32:53,600
Speaker 8: and this didn't happen. I think they said the numbers

685
00:32:53,640 --> 00:32:55,760
Speaker 8: like twenty two percent. I don't think that twenty two

686
00:32:55,800 --> 00:32:59,080
Speaker 8: percent of black people are going vote for Donald Trump.

687
00:32:59,360 --> 00:33:01,640
Speaker 8: I think the biggest thing that people are going to

688
00:33:01,680 --> 00:33:04,320
Speaker 8: have to fight against this year is the couch. And

689
00:33:04,320 --> 00:33:05,960
Speaker 8: that's what I've been saying. I keep saying it over

690
00:33:06,000 --> 00:33:10,000
Speaker 8: and over, like this election is three options. Republicans who

691
00:33:10,000 --> 00:33:12,840
Speaker 8: are to crooks, Democrats who would have couch because they

692
00:33:12,880 --> 00:33:15,480
Speaker 8: don't fight enough for nothing in the couch, and the

693
00:33:15,520 --> 00:33:16,600
Speaker 8: couch is voter apathy.

694
00:33:16,760 --> 00:33:20,400
Speaker 1: Crooks versus the cowards versus the couch. That's what pres due,

695
00:33:20,480 --> 00:33:21,240
Speaker 1: to be honest.

696
00:33:20,960 --> 00:33:21,760
Speaker 3: With you, He's right.

697
00:33:21,800 --> 00:33:23,760
Speaker 2: I mean, look, we've had the problem is is that

698
00:33:24,200 --> 00:33:27,000
Speaker 2: I actually think a low turnout election plays out in

699
00:33:27,080 --> 00:33:29,640
Speaker 2: Biden's favor because it just means that the people who

700
00:33:29,720 --> 00:33:32,360
Speaker 2: love to vote and who vote in every election, boomers

701
00:33:32,360 --> 00:33:34,920
Speaker 2: and white suburban ladies, those are the people who are

702
00:33:34,920 --> 00:33:37,120
Speaker 2: going to vote for Biden. Whereas I think, as we

703
00:33:37,160 --> 00:33:40,920
Speaker 2: showed back in twenty twenty, high turnout election generally meet.

704
00:33:40,960 --> 00:33:44,800
Speaker 2: In twenty sixteen two twenty sixteen, millions of people who had.

705
00:33:44,720 --> 00:33:46,440
Speaker 3: Not voted as the nineteen eighties came out and voted

706
00:33:46,440 --> 00:33:46,720
Speaker 3: for Trump.

707
00:33:46,760 --> 00:33:48,920
Speaker 2: It's part of the reason when the polls were so off,

708
00:33:48,920 --> 00:33:50,880
Speaker 2: they've not only came back to the polls, they brought

709
00:33:50,880 --> 00:33:53,960
Speaker 2: even more people who had never voted before in twenty twenty.

710
00:33:53,960 --> 00:33:55,720
Speaker 2: If we have a lower turnout election, lest it was

711
00:33:55,760 --> 00:33:58,480
Speaker 2: a forties or fifty percent this time around as opposed

712
00:33:58,480 --> 00:34:01,120
Speaker 2: to two thirds last time, I think it plays out

713
00:34:01,160 --> 00:34:02,240
Speaker 2: in Joe Biden's favor.

714
00:34:02,280 --> 00:34:04,400
Speaker 3: But look, you never know, right, Yeah, there's a lot

715
00:34:04,440 --> 00:34:05,280
Speaker 3: of confounding.

716
00:34:04,880 --> 00:34:08,439
Speaker 1: Stuff, and Charlamagne doesn't bring up any specific issues there,

717
00:34:08,480 --> 00:34:10,320
Speaker 1: but I know in the past he's talked about, you know,

718
00:34:10,400 --> 00:34:13,480
Speaker 1: great disappointment over the promises that were made over voting

719
00:34:13,560 --> 00:34:17,000
Speaker 1: rights in particular, and then there's just you know, they

720
00:34:17,520 --> 00:34:20,080
Speaker 1: said that during the election because they wanted to make

721
00:34:20,120 --> 00:34:22,120
Speaker 1: sure that black voters turn out to the poll and

722
00:34:22,239 --> 00:34:24,240
Speaker 1: signal that you know, we're on your side, et cetera.

723
00:34:24,680 --> 00:34:27,040
Speaker 1: And then to his point about them being cowards not

724
00:34:27,080 --> 00:34:28,799
Speaker 1: just on this issue, but on any number of.

725
00:34:28,719 --> 00:34:30,400
Speaker 4: Issues that you could take a look at. Let me

726
00:34:30,480 --> 00:34:30,759
Speaker 4: get there.

727
00:34:30,760 --> 00:34:33,279
Speaker 1: There's just nothing but excuses for why we can't do this.

728
00:34:33,360 --> 00:34:35,520
Speaker 1: We can't do that. Sorry, we tried, We want to,

729
00:34:35,640 --> 00:34:37,759
Speaker 1: but we're with you, but we just it's just too hard.

730
00:34:38,239 --> 00:34:40,880
Speaker 1: Except when it comes to funding worse then you know,

731
00:34:41,120 --> 00:34:44,239
Speaker 1: then it happens. Then the bipartisan magic comes together and

732
00:34:44,280 --> 00:34:46,880
Speaker 1: whatever needs to pass comes to pass. So you know,

733
00:34:46,920 --> 00:34:48,960
Speaker 1: you can't blame him for feeling like I was made

734
00:34:49,000 --> 00:34:52,040
Speaker 1: a set of promises I used, I trusted that I

735
00:34:52,120 --> 00:34:54,320
Speaker 1: made a set of promises and effect to my audience

736
00:34:54,360 --> 00:34:56,160
Speaker 1: saying like, I think this is the person who can

737
00:34:56,200 --> 00:34:58,920
Speaker 1: deliver these things that you're interested in, and I'm just

738
00:34:58,920 --> 00:35:01,080
Speaker 1: not going to put myself in that position. Again, you

739
00:35:01,160 --> 00:35:04,080
Speaker 1: really can't blame them. Just quickly going back to Free

740
00:35:04,200 --> 00:35:08,480
Speaker 1: Zakaria and his commentary about the Israel's assault on Gaza,

741
00:35:08,760 --> 00:35:11,040
Speaker 1: there were some interesting numbers in this poll as well.

742
00:35:11,080 --> 00:35:13,640
Speaker 1: They asked the question about who do you sympathize more

743
00:35:13,719 --> 00:35:18,799
Speaker 1: with the Israelis or the Palestinians. Democrats Now a plurality

744
00:35:18,960 --> 00:35:23,600
Speaker 1: sympathized with the Palestinians, which is an extraordinary shift from

745
00:35:23,920 --> 00:35:26,600
Speaker 1: previous years. Up to this point, you have thirty five

746
00:35:26,680 --> 00:35:30,040
Speaker 1: percent who say they sympathize with the Palestinians, over twenty

747
00:35:30,040 --> 00:35:32,640
Speaker 1: four percent who say they sympathize with the Israelis. The

748
00:35:32,640 --> 00:35:37,280
Speaker 1: remainders say don't know or both equally. Republicans very one sided.

749
00:35:37,280 --> 00:35:40,440
Speaker 1: It's seventy two percent sympathize more with Israel, six percent

750
00:35:40,520 --> 00:35:43,399
Speaker 1: to sympathize more with the Palestinians. And the other thing

751
00:35:43,719 --> 00:35:47,560
Speaker 1: is huge h divide, which won't surprise you, guys if

752
00:35:47,600 --> 00:35:50,560
Speaker 1: you've been watching this coverage eighteen to twenty nine, you

753
00:35:50,640 --> 00:35:53,520
Speaker 1: got forty seven percent who say we sympathize more with

754
00:35:53,560 --> 00:35:56,000
Speaker 1: the Palestine, so very close to a majority. Owned twenty

755
00:35:56,000 --> 00:35:59,560
Speaker 1: three percent say they're with the Israelis sixty five plus

756
00:36:00,120 --> 00:36:04,080
Speaker 1: opposite majority. Fifty five percent were with Israel, only fourteen

757
00:36:04,120 --> 00:36:06,040
Speaker 1: percent were with the Palestinians.

758
00:36:06,080 --> 00:36:07,120
Speaker 4: So you see.

759
00:36:06,960 --> 00:36:10,640
Speaker 1: Huge both partisan and generational divides in terms of how

760
00:36:10,640 --> 00:36:16,160
Speaker 1: they're viewing this conflict. And to Frei Zakaria's accurate point,

761
00:36:16,680 --> 00:36:21,600
Speaker 1: this has really Joe Biden's policy here is not popular

762
00:36:21,880 --> 00:36:27,000
Speaker 1: with the Democratic base and has really divided the Democratic

763
00:36:27,040 --> 00:36:31,640
Speaker 1: coalition and created not just apathy but utter disgust among

764
00:36:31,880 --> 00:36:35,360
Speaker 1: some certain portion of that Democratic base.

765
00:36:35,560 --> 00:36:37,120
Speaker 4: So you know, these are.

766
00:36:37,200 --> 00:36:40,399
Speaker 1: When you look at who's fleeing the Biden camp. As

767
00:36:40,400 --> 00:36:43,919
Speaker 1: we said before, most of those people are actually more

768
00:36:43,920 --> 00:36:47,520
Speaker 1: on the moderate to conservative side. But of the lefties

769
00:36:47,600 --> 00:36:50,799
Speaker 1: and progressives who voted for him in twenty twenty and

770
00:36:50,840 --> 00:36:53,520
Speaker 1: who have left the Biden camp, it is overwhelmingly over

771
00:36:53,520 --> 00:36:54,160
Speaker 1: this one issue.

772
00:36:54,320 --> 00:36:57,640
Speaker 2: Yeah, it's Look, he's got coalitional problems all over the map.

773
00:36:57,719 --> 00:37:01,239
Speaker 2: He can't really afford any of them, not really inspiring

774
00:37:01,320 --> 00:37:03,560
Speaker 2: or speaking to the wants and the needs of concerns

775
00:37:03,600 --> 00:37:06,720
Speaker 2: of any and so you get basically a total collapse.

776
00:37:06,760 --> 00:37:07,440
Speaker 3: I mean more and more.

777
00:37:07,520 --> 00:37:10,920
Speaker 2: This just looks a lot like Jimmy Carter that I've

778
00:37:10,920 --> 00:37:14,040
Speaker 2: said previously. His only saving grace is some sort of

779
00:37:14,200 --> 00:37:17,400
Speaker 2: hidden abortion you know phenomenon, which is a hell of

780
00:37:17,400 --> 00:37:20,640
Speaker 2: a thing to you know, to bet your entire political

781
00:37:20,680 --> 00:37:23,680
Speaker 2: future on. That's stunning. But that's that is the choice

782
00:37:23,719 --> 00:37:25,439
Speaker 2: that he has decided to make. Yah, It's the most

783
00:37:25,440 --> 00:37:27,919
Speaker 2: apathetic choice you could possibly make. But it makes sense

784
00:37:27,960 --> 00:37:29,560
Speaker 2: for what some an eighty two year old man who

785
00:37:29,600 --> 00:37:31,040
Speaker 2: would be if he were to be reelected.

786
00:37:31,200 --> 00:37:34,880
Speaker 1: Yeah, they're they're opting for just running on abortion and

787
00:37:34,920 --> 00:37:38,880
Speaker 1: Trump is bad, and really avoiding campaigning anywhere where they

788
00:37:38,880 --> 00:37:41,960
Speaker 1: can see this descent, including as we covered yesterday, very

789
00:37:42,000 --> 00:37:47,840
Speaker 1: possibly moving the entire DNC online to avoid recriminations from

790
00:37:47,960 --> 00:37:52,359
Speaker 1: their own voter base. I just listen for people who

791
00:37:52,360 --> 00:37:54,960
Speaker 1: are a little younger. I don't know if you could understand,

792
00:37:55,280 --> 00:37:59,640
Speaker 1: like Obama was the candidate of like the College. The

793
00:37:59,719 --> 00:38:02,440
Speaker 1: whole idea was these younger generations are going to be

794
00:38:02,480 --> 00:38:05,759
Speaker 1: firmly in the Democratic camp, like it's done as they

795
00:38:05,800 --> 00:38:08,600
Speaker 1: come of age. Republicans are totally screwed. There were books

796
00:38:08,640 --> 00:38:11,120
Speaker 1: that were I think it was what James Carvell wrote

797
00:38:11,120 --> 00:38:14,840
Speaker 1: this book forty more years based on this concept of

798
00:38:15,160 --> 00:38:17,319
Speaker 1: you know, these young people are growing up and there'll

799
00:38:17,320 --> 00:38:19,359
Speaker 1: be a bulk of a voting population and then it's

800
00:38:19,440 --> 00:38:23,000
Speaker 1: over for the Republicans. So the idea that a Democratic

801
00:38:23,080 --> 00:38:29,439
Speaker 1: president cannot even go to a college campus disaster, utter

802
00:38:29,600 --> 00:38:34,560
Speaker 1: and complete disaster. All right on the other side of

803
00:38:34,560 --> 00:38:36,880
Speaker 1: a ledger, we have one Donald Trump who's spending his

804
00:38:36,920 --> 00:38:40,800
Speaker 1: week in a Manhattan courtroom, and as I teased earlier,

805
00:38:41,560 --> 00:38:45,760
Speaker 1: the prosecution had their star witness on the stand yesterday.

806
00:38:45,800 --> 00:38:49,440
Speaker 1: That would be former Trump fixer Michael Cohen, who was

807
00:38:49,520 --> 00:38:53,279
Speaker 1: at the center of these quote unquote hush money payments.

808
00:38:53,440 --> 00:38:56,040
Speaker 1: You know, he was the one who interfaced with them

809
00:38:56,080 --> 00:38:57,120
Speaker 1: and facilitated them.

810
00:38:57,120 --> 00:38:59,040
Speaker 4: He actually actually he had a mo I forgot this.

811
00:38:59,080 --> 00:39:00,799
Speaker 4: He mortgaged his house to be.

812
00:39:00,760 --> 00:39:03,480
Speaker 1: Able to make the payment, and then Trump pays him back.

813
00:39:03,800 --> 00:39:03,960
Speaker 6: You know.

814
00:39:04,320 --> 00:39:08,440
Speaker 1: The legal question here is were those payments properly recorded

815
00:39:08,480 --> 00:39:11,280
Speaker 1: and should they have been logged instead as a campaign

816
00:39:11,440 --> 00:39:16,080
Speaker 1: finance expenditure. And the key legal question there is whether

817
00:39:16,120 --> 00:39:19,839
Speaker 1: they were exclusively to benefit the campaign or whether there

818
00:39:19,880 --> 00:39:22,719
Speaker 1: were other reasons along with it could also have a

819
00:39:22,719 --> 00:39:26,880
Speaker 1: campaign benefit, But were there other reasons for making these payments?

820
00:39:26,920 --> 00:39:30,440
Speaker 1: For example, wanting your wanting to avoid your wife finding

821
00:39:30,480 --> 00:39:32,920
Speaker 1: out about your affair with a porn star. Alleged affair

822
00:39:32,920 --> 00:39:35,279
Speaker 1: with a porn star. He still denies it. Okay, let's

823
00:39:35,280 --> 00:39:37,000
Speaker 1: put this up on the screen. In terms of what

824
00:39:37,120 --> 00:39:40,960
Speaker 1: Michael Cohen had to say, he says Trump was primarily

825
00:39:40,960 --> 00:39:44,320
Speaker 1: concerned about presidential election when he sought to bury Stormy

826
00:39:44,400 --> 00:39:49,560
Speaker 1: Daniel's testimony. He says that Cohen testified after he told

827
00:39:49,560 --> 00:39:52,520
Speaker 1: Trump Daniels claims might resurface that fall. Trump grew angry

828
00:39:52,520 --> 00:39:54,759
Speaker 1: with him, told him to quote, just take care of it.

829
00:39:55,160 --> 00:39:58,320
Speaker 1: He said to me, this is a disaster, total disaster.

830
00:39:58,800 --> 00:40:01,560
Speaker 1: Women are going to hate This is really a disaster.

831
00:40:01,680 --> 00:40:02,480
Speaker 4: Women will hate me.

832
00:40:02,960 --> 00:40:05,600
Speaker 1: Guys may think it's cool, but this is going to

833
00:40:05,640 --> 00:40:08,760
Speaker 1: be a disaster for the campaign. At the time, Cohen explained,

834
00:40:08,760 --> 00:40:10,799
Speaker 1: mister Trump was pulling very, very low with women. He

835
00:40:10,840 --> 00:40:14,000
Speaker 1: was pulling very poorly with women, and this coupled with

836
00:40:14,040 --> 00:40:17,040
Speaker 1: the previous Access Hollywood tape. So that's an important piece

837
00:40:17,120 --> 00:40:20,960
Speaker 1: of context. Here is this Stormy Daniels you know story

838
00:40:21,000 --> 00:40:24,000
Speaker 1: potentially coming out happened in the wake of Access Hollywood

839
00:40:24,040 --> 00:40:25,879
Speaker 1: when there was real concern about it, how women voters

840
00:40:25,880 --> 00:40:27,440
Speaker 1: were going to view them and whether they, you know,

841
00:40:27,520 --> 00:40:31,040
Speaker 1: would totally take his campaign. When Cohen asked how Stormy

842
00:40:31,120 --> 00:40:35,720
Speaker 1: Daniels claims might impact Trump's relationship with Milania, Trump told him, quote,

843
00:40:35,920 --> 00:40:38,960
Speaker 1: don't worry, He goes, how long do you think I'll

844
00:40:38,960 --> 00:40:39,799
Speaker 1: be on the market for?

845
00:40:40,239 --> 00:40:40,759
Speaker 4: Not long?

846
00:40:40,960 --> 00:40:44,240
Speaker 1: Cohen recounted, So basically the implication they're like, if Millennia

847
00:40:44,760 --> 00:40:46,080
Speaker 1: leaves me, like, I'm not going to be on the

848
00:40:46,080 --> 00:40:48,799
Speaker 1: market for long. Some woman is going to snatch me

849
00:40:48,880 --> 00:40:50,720
Speaker 1: up right away. It's not going to be any issue

850
00:40:50,840 --> 00:40:54,279
Speaker 1: she divorces me, is you know, allegedly allegedly what I

851
00:40:54,320 --> 00:40:57,160
Speaker 1: have been here? And Cohen concludes he wasn't thinking about millenia.

852
00:40:57,239 --> 00:41:00,759
Speaker 1: This was all about the campaign. So that's his side

853
00:41:00,760 --> 00:41:04,360
Speaker 1: of the story. The defense is going to talk and

854
00:41:04,400 --> 00:41:06,680
Speaker 1: already has talked a lot about you know, Michael Cohen

855
00:41:06,760 --> 00:41:12,040
Speaker 1: is a convicted felin for it wasn't convicted for lying liar,

856
00:41:12,680 --> 00:41:17,000
Speaker 1: So that's a challenge. And you also have listen. There

857
00:41:17,440 --> 00:41:20,520
Speaker 1: was a tape that Cohen has that relates to Susan

858
00:41:20,680 --> 00:41:23,760
Speaker 1: McDougall's she used the other Karen mccaron McDougal.

859
00:41:24,000 --> 00:41:24,719
Speaker 4: I always get that wrong.

860
00:41:24,719 --> 00:41:27,000
Speaker 1: I don't want to call her Susan, but anyway, sorry

861
00:41:27,040 --> 00:41:31,239
Speaker 1: Karen Karen mc Karen McDougall, and the payments that he

862
00:41:31,360 --> 00:41:34,239
Speaker 1: facilitated with David Packer in National Choir or whatever. But

863
00:41:34,320 --> 00:41:37,880
Speaker 1: he doesn't have any direct documentation of these conversations. And

864
00:41:37,920 --> 00:41:42,280
Speaker 1: these conversations are really really critical because they do get

865
00:41:42,320 --> 00:41:46,440
Speaker 1: at that question of whether this was directly a campaign

866
00:41:46,719 --> 00:41:50,440
Speaker 1: expenditure or whether it had to do with the campaign,

867
00:41:50,640 --> 00:41:53,680
Speaker 1: but also with I want to hide this from my wife,

868
00:41:53,760 --> 00:41:56,240
Speaker 1: So it becomes kind of a he said, he said,

869
00:41:56,480 --> 00:41:59,720
Speaker 1: and who the jury believes wants to believe, et cetera.

870
00:42:00,200 --> 00:42:02,560
Speaker 1: So in any case, this is you know, this was

871
00:42:03,280 --> 00:42:05,880
Speaker 1: this case from the prosecution was really building to this

872
00:42:06,000 --> 00:42:08,600
Speaker 1: moment with Michael Cohen, and this is the story.

873
00:42:08,640 --> 00:42:09,239
Speaker 4: He had to say.

874
00:42:09,280 --> 00:42:11,760
Speaker 2: That's right, and right ahead of the testimony, Crystal Trump

875
00:42:11,840 --> 00:42:12,600
Speaker 2: had this to say.

876
00:42:12,760 --> 00:42:15,080
Speaker 3: This help comes from Biden in the White House.

877
00:42:14,840 --> 00:42:18,200
Speaker 7: By the way, and they have the top equal here

878
00:42:19,200 --> 00:42:21,840
Speaker 7: because he can't when he can't win two sentences together.

879
00:42:21,880 --> 00:42:24,560
Speaker 9: He's the worst president in the history of our country.

880
00:42:24,840 --> 00:42:29,000
Speaker 7: Can't speak, can't walk off a helicopter, can't walk off

881
00:42:29,040 --> 00:42:31,400
Speaker 7: a play, can't walk off a sage.

882
00:42:32,040 --> 00:42:34,040
Speaker 9: And the only way they think they can win is that.

883
00:42:34,080 --> 00:42:37,120
Speaker 5: They can do something with trub because we have.

884
00:42:37,080 --> 00:42:40,000
Speaker 7: An incompetent, the worst president in the history of the

885
00:42:40,080 --> 00:42:40,920
Speaker 7: United States.

886
00:42:41,000 --> 00:42:43,960
Speaker 2: Trump has been really enjoying doing these press conferences in

887
00:42:44,000 --> 00:42:45,719
Speaker 2: the trial. He seems to think that it makes him

888
00:42:45,760 --> 00:42:48,279
Speaker 2: look strong. I actually think, though, the more that we

889
00:42:48,360 --> 00:42:50,320
Speaker 2: continue to look at a lot of the polling, Crystal

890
00:42:50,640 --> 00:42:52,920
Speaker 2: that if anything, it's either a.

891
00:42:52,920 --> 00:42:56,120
Speaker 3: Distraction or as long as Biden is.

892
00:42:56,040 --> 00:42:59,560
Speaker 2: At the center of attention, and people are feeling macroeconomic conditions,

893
00:42:59,800 --> 00:43:02,319
Speaker 2: not thinking about Trump in general. Most people don't give

894
00:43:02,320 --> 00:43:05,400
Speaker 2: a shit about his political about his court appearances or whatever.

895
00:43:05,480 --> 00:43:08,160
Speaker 3: If he's convicted, maybe, you know, it be another story.

896
00:43:08,200 --> 00:43:10,560
Speaker 2: But the more consequential legal cases, the ones that people

897
00:43:10,640 --> 00:43:13,200
Speaker 2: really care about, trial is not likely to happen before

898
00:43:13,200 --> 00:43:16,000
Speaker 2: the election. The Trump people seem to think is a

899
00:43:16,000 --> 00:43:16,640
Speaker 2: net good for him.

900
00:43:16,680 --> 00:43:18,279
Speaker 3: I don't. I'm not going to go that far.

901
00:43:18,280 --> 00:43:19,880
Speaker 2: I don't think it's a good thing to be on

902
00:43:19,960 --> 00:43:22,840
Speaker 2: trial or to have people talk about affairs or even

903
00:43:22,920 --> 00:43:25,520
Speaker 2: the thing is with Michael Cohen too. With Michael Cohen,

904
00:43:25,680 --> 00:43:27,799
Speaker 2: the only reason he turned on Trump is because Trump

905
00:43:27,800 --> 00:43:29,960
Speaker 2: refused to pay him. Trump didn't want to continue to

906
00:43:29,960 --> 00:43:32,160
Speaker 2: pay his legal expenses. That was it. It was that

907
00:43:32,280 --> 00:43:35,319
Speaker 2: petty of a manner. And after that he flips on him.

908
00:43:35,320 --> 00:43:39,359
Speaker 2: He starts pleading guilty, cooperating as a federal witness, and

909
00:43:39,400 --> 00:43:43,160
Speaker 2: now you know, turning and embracing like the diaper Don

910
00:43:43,239 --> 00:43:45,360
Speaker 2: conspiracy and all this other stuff.

911
00:43:45,400 --> 00:43:48,440
Speaker 4: But what doesn't besmirch the diaper Don considracy.

912
00:43:49,200 --> 00:43:52,720
Speaker 2: But what's important to remember is that up until twenty eighteen,

913
00:43:52,840 --> 00:43:55,760
Speaker 2: whenever he flipped, he was the most ardent Trump defender.

914
00:43:56,200 --> 00:43:58,160
Speaker 3: It was on television. I used to deal with him.

915
00:43:58,160 --> 00:43:59,480
Speaker 2: I was a White House course, But I want to

916
00:43:59,520 --> 00:44:02,440
Speaker 2: see this idio walking around the White House grounds consultly.

917
00:44:02,560 --> 00:44:05,120
Speaker 3: Mister Trump is the greatest businessman of all time.

918
00:44:05,160 --> 00:44:08,879
Speaker 2: These are just you know, the classic hangar honors of politics,

919
00:44:09,160 --> 00:44:12,240
Speaker 2: of people who surround the super rich and the wealthy.

920
00:44:12,320 --> 00:44:16,080
Speaker 2: So it's very difficult to take him as a serious person,

921
00:44:16,640 --> 00:44:18,120
Speaker 2: especially with so many of his utterances.

922
00:44:18,200 --> 00:44:21,480
Speaker 1: It's actually, it's actually interesting. He talks some about how

923
00:44:21,600 --> 00:44:25,000
Speaker 1: much he loved and worshiped.

924
00:44:24,560 --> 00:44:25,520
Speaker 3: Yeah, Donald Trump.

925
00:44:25,600 --> 00:44:29,080
Speaker 1: I've he talked some about that in this courtroom appearance,

926
00:44:29,200 --> 00:44:32,880
Speaker 1: and how his fondest wish and desire was just to

927
00:44:32,920 --> 00:44:35,640
Speaker 1: make Trump happy. And if he did something that was

928
00:44:35,680 --> 00:44:37,920
Speaker 1: good and Trump praised him, man, that.

929
00:44:38,000 --> 00:44:39,359
Speaker 4: Just lit up his whole life.

930
00:44:39,719 --> 00:44:41,680
Speaker 1: Which is how you end up, I guess, taking the

931
00:44:41,719 --> 00:44:44,040
Speaker 1: mortgage out on your house in order to pay a

932
00:44:44,080 --> 00:44:48,160
Speaker 1: billionaire's hush money payments. And then yeah, he's like, he's

933
00:44:48,160 --> 00:44:50,440
Speaker 1: sort of like the jilted lover. You know, Trump refuses

934
00:44:50,520 --> 00:44:52,279
Speaker 1: to back him after all of his loyalty and won't

935
00:44:52,280 --> 00:44:54,239
Speaker 1: pay his legal bills and whatever. And now it's a

936
00:44:54,400 --> 00:44:56,600
Speaker 1: it's a total one to eighty in terms of his

937
00:44:56,800 --> 00:45:00,439
Speaker 1: views of Donald Trump, and you know, becoming this star

938
00:45:00,520 --> 00:45:04,520
Speaker 1: witness for the prosecution. It is a wild situation given

939
00:45:04,560 --> 00:45:08,680
Speaker 1: that of all the cases that are out there, many

940
00:45:08,760 --> 00:45:11,600
Speaker 1: with much more serious allegation, all of the other ones

941
00:45:11,640 --> 00:45:14,600
Speaker 1: with much more serious allegations than this one, this is it.

942
00:45:14,920 --> 00:45:18,000
Speaker 1: I mean the other ones, it's there. They're not happening

943
00:45:18,040 --> 00:45:20,520
Speaker 1: before election day. Now that doesn't mean that they're over.

944
00:45:20,920 --> 00:45:24,520
Speaker 1: If Trump loses, He's still an incredible legal jeopardy from

945
00:45:24,560 --> 00:45:27,759
Speaker 1: all of those cases. So it's not like they're dead dead,

946
00:45:27,840 --> 00:45:31,560
Speaker 1: but in terms of electoral concern, for all intents and purposes,

947
00:45:31,600 --> 00:45:34,120
Speaker 1: they are. This is the This is the whole ball game.

948
00:45:34,800 --> 00:45:38,120
Speaker 1: One other thing to note about the thought that we

949
00:45:38,200 --> 00:45:40,920
Speaker 1: showed you of Trump, you had behind him a number

950
00:45:41,000 --> 00:45:45,080
Speaker 1: of Republican officials, including Senators Tommy Teverville and Jade Vance

951
00:45:45,080 --> 00:45:46,960
Speaker 1: and Congresswoman Nicole mally Takis.

952
00:45:47,120 --> 00:45:47,759
Speaker 4: Is that her name?

953
00:45:47,880 --> 00:45:48,600
Speaker 3: Yes? Okay?

954
00:45:49,440 --> 00:45:52,560
Speaker 1: In any case, you've now got like the new way

955
00:45:52,640 --> 00:45:56,200
Speaker 1: to kiss the Trump ring is to show up and

956
00:45:56,239 --> 00:45:58,120
Speaker 1: be there at the courtroom with him and give your

957
00:45:58,120 --> 00:46:00,719
Speaker 1: own little press conference about what a which hunted is

958
00:46:00,760 --> 00:46:03,560
Speaker 1: blah blah, blah, and JD obviously is like, you know,

959
00:46:03,600 --> 00:46:06,520
Speaker 1: trying to position himself to hopefully be the Trump VP pick.

960
00:46:07,160 --> 00:46:08,840
Speaker 1: Kind of doubtful that he'll get the nod, but you

961
00:46:08,880 --> 00:46:11,680
Speaker 1: never know. So he was he, you know, was making

962
00:46:11,719 --> 00:46:15,920
Speaker 1: his moves to get into the Trump's best possible graces.

963
00:46:15,960 --> 00:46:18,840
Speaker 2: That's right, JD was there. Vivike Ramaswami will be there today.

964
00:46:18,880 --> 00:46:22,200
Speaker 2: Oh for real, Yes, Vecas on site as we speak.

965
00:46:23,160 --> 00:46:26,759
Speaker 3: Courthouse. Oh, here we go, okay, here, I have a

966
00:46:26,760 --> 00:46:27,480
Speaker 3: full list.

967
00:46:27,400 --> 00:46:31,319
Speaker 2: Like an exclusively not exclusively everybody speaker. Mike Johnson will

968
00:46:31,360 --> 00:46:36,280
Speaker 2: be there. Doug Burgham will be big Doug representative, Byron Donalds,

969
00:46:36,480 --> 00:46:39,840
Speaker 2: vivike Ramaswami and Corey Mills. So Byron actually one of

970
00:46:39,840 --> 00:46:43,160
Speaker 2: the Byron and Doug Bergham the only two people on

971
00:46:43,200 --> 00:46:45,520
Speaker 2: that list who are prospective VP candidates.

972
00:46:45,520 --> 00:46:47,640
Speaker 3: I wouldn't put too much stock in either of them.

973
00:46:47,800 --> 00:46:50,080
Speaker 4: A lot of Doug Burgham chatter right now.

974
00:46:50,239 --> 00:46:50,839
Speaker 3: That's what they say.

975
00:46:50,920 --> 00:46:55,759
Speaker 2: I firmly believe that I think the best odds are

976
00:46:55,800 --> 00:46:58,560
Speaker 2: a woman. I think Trump e last dephonic. You can

977
00:46:58,680 --> 00:47:00,480
Speaker 2: you know I've been saying it here from I think

978
00:47:00,520 --> 00:47:03,160
Speaker 2: he loves her, he loves how spirited here defense is

979
00:47:03,239 --> 00:47:05,160
Speaker 2: I think she's also not a big enough star that

980
00:47:05,200 --> 00:47:07,239
Speaker 2: she would ever eclipse him, so I would put my

981
00:47:07,280 --> 00:47:09,480
Speaker 2: money on her. I also think that the race card

982
00:47:09,560 --> 00:47:11,560
Speaker 2: is one that Trump just loves a bit too much.

983
00:47:11,800 --> 00:47:14,399
Speaker 2: Tim Scott, you know very clear, Tim has been all

984
00:47:14,440 --> 00:47:17,879
Speaker 2: over cable TV kissing Trump's ass as well. Only if

985
00:47:17,880 --> 00:47:21,560
Speaker 2: Trump feels totally electorally secure, I think will he pick

986
00:47:21,600 --> 00:47:24,759
Speaker 2: somebody like Doug Burgham or jd Vance. But that's one

987
00:47:24,800 --> 00:47:26,880
Speaker 2: where you know, given the nature of the election, it

988
00:47:26,920 --> 00:47:29,760
Speaker 2: would be very difficult. Now it's certainly possible. Like, don't

989
00:47:29,760 --> 00:47:31,919
Speaker 2: get me wrong, but he loved that man. I loves

990
00:47:31,960 --> 00:47:34,840
Speaker 2: identy politics and he loves a media narrative more than anything,

991
00:47:34,840 --> 00:47:36,520
Speaker 2: and a woman or a black person is just one

992
00:47:36,520 --> 00:47:37,560
Speaker 2: that he couldn't get away from.

993
00:47:37,640 --> 00:47:39,839
Speaker 1: I mean, how did he make his pick last time around?

994
00:47:39,960 --> 00:47:44,080
Speaker 1: He did it based on very naked monkey Vellyan political calculation.

995
00:47:44,160 --> 00:47:45,480
Speaker 3: Yeah, and he was right, and he was right.

996
00:47:45,560 --> 00:47:48,000
Speaker 1: I mean it was Mike Pence was a good choice

997
00:47:48,040 --> 00:47:51,040
Speaker 1: for him in that moment. It was a very wise

998
00:47:51,239 --> 00:47:54,120
Speaker 1: political choice, and I think he will make a very

999
00:47:54,160 --> 00:47:56,160
Speaker 1: similar choice this time around, because he has a lot

1000
00:47:56,200 --> 00:47:58,200
Speaker 1: more to lose this time than he did last time.

1001
00:47:58,239 --> 00:48:02,520
Speaker 1: I mean, his freedom is really at stake hinged on

1002
00:48:02,719 --> 00:48:05,960
Speaker 1: the results of this election. So whatever he can be

1003
00:48:06,040 --> 00:48:10,360
Speaker 1: persuaded of in terms of it's the best electoral calculus

1004
00:48:10,360 --> 00:48:12,640
Speaker 1: for him. I think that's the direction he's likely to

1005
00:48:12,680 --> 00:48:15,080
Speaker 1: go on based on his history and also what is

1006
00:48:15,120 --> 00:48:18,200
Speaker 1: really at stake for him. Last saying just about the

1007
00:48:18,719 --> 00:48:23,200
Speaker 1: Cohen testimony, I mentioned this before. CNN actually had this

1008
00:48:23,239 --> 00:48:26,640
Speaker 1: audio a number of years ago, but Cohen recorded this

1009
00:48:26,680 --> 00:48:30,920
Speaker 1: one conversation with Trump with in regards to these Karen

1010
00:48:31,000 --> 00:48:34,600
Speaker 1: McDougall payments. Now this one the structures a little different.

1011
00:48:35,719 --> 00:48:40,000
Speaker 1: National Inquirer bought her story to. It was the whole

1012
00:48:40,040 --> 00:48:43,600
Speaker 1: catch and kill scenario, and Cohen was worried that David Packer,

1013
00:48:43,640 --> 00:48:46,319
Speaker 1: who's head of the National Inquirer, wouldn't believe him that

1014
00:48:46,320 --> 00:48:49,279
Speaker 1: Trump was going to reimburse him for these payments that

1015
00:48:49,320 --> 00:48:52,440
Speaker 1: he was going to make. So he surreptitiously recorded the

1016
00:48:52,480 --> 00:48:56,160
Speaker 1: conversation with Trump to play for David Packer to look,

1017
00:48:56,200 --> 00:48:59,400
Speaker 1: he's serious about this, He's going to repay you. I

1018
00:48:59,440 --> 00:49:01,720
Speaker 1: don't think he actually ever did, but in any case,

1019
00:49:01,760 --> 00:49:04,319
Speaker 1: that was the purpose of the recording. So let's take

1020
00:49:04,320 --> 00:49:07,080
Speaker 1: a listen to this audio which was played in court.

1021
00:49:07,320 --> 00:49:11,360
Speaker 9: I need to open up a company for the transfer

1022
00:49:11,440 --> 00:49:15,120
Speaker 9: of all of that info regarding our friend David, you know,

1023
00:49:15,200 --> 00:49:17,279
Speaker 9: so that I'm going to do that right away. I've

1024
00:49:17,320 --> 00:49:19,520
Speaker 9: actually come up and spoke to me and I've spoken

1025
00:49:19,560 --> 00:49:23,279
Speaker 9: to Alan Weiseelberg about how to set the whole thing

1026
00:49:23,360 --> 00:49:30,040
Speaker 9: up with so whatere we were funding. Yes, and it's

1027
00:49:30,520 --> 00:49:33,000
Speaker 9: all the stuff, all the stuff because you know, you

1028
00:49:33,040 --> 00:49:34,680
Speaker 9: never know where that company, you never know where he's

1029
00:49:34,719 --> 00:49:37,719
Speaker 9: going to be, It's correct. So I'm all over that,

1030
00:49:38,200 --> 00:49:40,040
Speaker 9: and I spoke to Alan about it. When it comes

1031
00:49:40,120 --> 00:49:43,960
Speaker 9: time to the financing, which will be listening, answer you

1032
00:49:44,000 --> 00:49:47,200
Speaker 9: will have to pay you, I'll no, no, no, no,

1033
00:49:47,200 --> 00:49:48,680
Speaker 9: no no, I got no no.

1034
00:49:49,040 --> 00:49:52,279
Speaker 1: So there you go. That's, you know, clearly talking about

1035
00:49:52,320 --> 00:49:55,000
Speaker 1: David Backer. He's talking about how we Weiselberg setting up

1036
00:49:55,000 --> 00:49:57,399
Speaker 1: these payments, et cetera, et cetera. That's the one piece

1037
00:49:57,440 --> 00:50:00,640
Speaker 1: of audio evidence that they have that was able to

1038
00:50:00,640 --> 00:50:02,800
Speaker 1: bolster his testimony to the jury.

1039
00:50:02,840 --> 00:50:03,799
Speaker 4: And yeah, I don't know.

1040
00:50:03,800 --> 00:50:05,960
Speaker 1: Which way this case is going to go. I could

1041
00:50:06,040 --> 00:50:08,319
Speaker 1: really see either direction. I think it just depends a

1042
00:50:08,320 --> 00:50:10,760
Speaker 1: lot on who this jury is and how they're processing

1043
00:50:10,800 --> 00:50:11,720
Speaker 1: these various claims.

1044
00:50:12,040 --> 00:50:14,000
Speaker 3: No, I think you're right. It's all going to come

1045
00:50:14,000 --> 00:50:16,759
Speaker 3: down to a level of reasonable doubt. I do.

1046
00:50:16,920 --> 00:50:19,160
Speaker 2: And this is the problem with the prosecution's case from

1047
00:50:19,200 --> 00:50:22,160
Speaker 2: the very beginning. The plausibility of I just didn't want

1048
00:50:22,160 --> 00:50:25,080
Speaker 2: my wife to find out is enough and believable that

1049
00:50:25,120 --> 00:50:27,719
Speaker 2: you only need a single person who is there not

1050
00:50:27,800 --> 00:50:30,279
Speaker 2: only to buy the reasonable doubt, but also not to

1051
00:50:30,320 --> 00:50:34,880
Speaker 2: co sign the prosecution's extraordinary interpretation of New York finance

1052
00:50:34,960 --> 00:50:38,520
Speaker 2: business accounting law. Remember that's what's actually at stake here.

1053
00:50:38,560 --> 00:50:40,840
Speaker 2: So anyways, we will see what's happened. Let's get to

1054
00:50:40,880 --> 00:50:47,920
Speaker 2: game Stop. So major breaking news. Roaring Kitty aka Keith Gill,

1055
00:50:48,040 --> 00:50:52,720
Speaker 2: the man behind the original meme stop craze on game stock,

1056
00:50:53,080 --> 00:50:55,480
Speaker 2: is officially back. Let's go and put this up there

1057
00:50:55,760 --> 00:50:59,040
Speaker 2: on the screen. Roaring Kitty Keith gil tweeting for the

1058
00:50:59,239 --> 00:51:03,600
Speaker 2: very first time I'm in three years on his account,

1059
00:51:03,640 --> 00:51:08,120
Speaker 2: which then immediately sparks a seventy four percent increase in

1060
00:51:08,200 --> 00:51:11,759
Speaker 2: a single day on game stop stock. On top of that,

1061
00:51:11,880 --> 00:51:15,840
Speaker 2: AMC another so called meme stock is up over one

1062
00:51:15,920 --> 00:51:20,120
Speaker 2: hundred percent. They say that game Stop shares actually had

1063
00:51:20,160 --> 00:51:23,320
Speaker 2: to be halted several times on the trading exchange because

1064
00:51:23,440 --> 00:51:26,840
Speaker 2: of how high it was going, and ever and continues

1065
00:51:26,880 --> 00:51:29,719
Speaker 2: actually to do so. Now Gil it appears, has not

1066
00:51:29,840 --> 00:51:33,000
Speaker 2: yet done a video on YouTube. We're all awaiting that.

1067
00:51:33,080 --> 00:51:36,440
Speaker 2: He recently was portrayed in the movie Dumb Money. Not

1068
00:51:36,480 --> 00:51:38,800
Speaker 2: a particularly great movie, but it's if you're on an airplane,

1069
00:51:38,840 --> 00:51:39,360
Speaker 2: you should watch it.

1070
00:51:39,400 --> 00:51:40,200
Speaker 3: That's the way I would put it.

1071
00:51:40,760 --> 00:51:43,600
Speaker 2: Dumb Money recently came out and kind of showed him

1072
00:51:43,640 --> 00:51:46,640
Speaker 2: as this endearing nerd, you know, in his basement who

1073
00:51:46,719 --> 00:51:48,720
Speaker 2: turned you know, what was it like, fifty thousand dollars

1074
00:51:48,719 --> 00:51:53,279
Speaker 2: into forty eight million dollars on paper. Eventually sells, gets out,

1075
00:51:53,520 --> 00:51:58,400
Speaker 2: subject of lawsuits, of congressional testimony. Most people thought they

1076
00:51:58,400 --> 00:52:00,640
Speaker 2: would never see him again, but for some reason he

1077
00:52:00,800 --> 00:52:04,640
Speaker 2: is officially back and back enough that it's always just

1078
00:52:04,680 --> 00:52:09,040
Speaker 2: amusing watching CNBC and all these business anchors actually grapple

1079
00:52:09,120 --> 00:52:11,520
Speaker 2: with this. So here's how they handle the news of

1080
00:52:11,560 --> 00:52:13,000
Speaker 2: the return of Rooring Kitty.

1081
00:52:13,160 --> 00:52:16,200
Speaker 5: Yeah, so this is Keith Gill's first online post we've

1082
00:52:16,200 --> 00:52:18,719
Speaker 5: seen in three years. Roaring Kitty, as he's also known,

1083
00:52:18,920 --> 00:52:21,560
Speaker 5: was if you remember really the pied Piper of the

1084
00:52:21,560 --> 00:52:24,200
Speaker 5: Memestock frenzy. In twenty twenty one, he led those online

1085
00:52:24,200 --> 00:52:27,360
Speaker 5: traders to the infamous Game Stop short squeeze this morning,

1086
00:52:27,719 --> 00:52:31,840
Speaker 5: posting kind of cryptic photo of somebody just leaning forward,

1087
00:52:32,400 --> 00:52:34,880
Speaker 5: excuse me, in a chair, and that was enough to

1088
00:52:34,920 --> 00:52:37,600
Speaker 5: send game Stop up. As you said, more than one

1089
00:52:37,680 --> 00:52:40,760
Speaker 5: hundred percent. It has been halted for volagility. A Robert

1090
00:52:40,840 --> 00:52:44,400
Speaker 5: Hu'm just sent out a note explaining this trading activity

1091
00:52:44,400 --> 00:52:46,960
Speaker 5: for GM has been only ten minutes. The rest of

1092
00:52:47,000 --> 00:52:49,919
Speaker 5: the day has been halted, and even with just ten

1093
00:52:49,960 --> 00:52:51,839
Speaker 5: minutes of trading, the stock did three and a half

1094
00:52:51,880 --> 00:52:55,080
Speaker 5: times the normal volume. But it's not just GM me guys.

1095
00:52:55,160 --> 00:52:58,200
Speaker 5: Other so called memestocks like AMC are also catching a bit.

1096
00:52:58,280 --> 00:53:02,120
Speaker 5: It is one sign of overall appetite increasing. You'll also

1097
00:53:02,160 --> 00:53:04,520
Speaker 5: see that showing up in the options market, especially for

1098
00:53:04,600 --> 00:53:08,000
Speaker 5: the most volatile corner of that ultra short maturities, once

1099
00:53:08,040 --> 00:53:12,400
Speaker 5: really reserved for professional traders zero days to expire options

1100
00:53:12,719 --> 00:53:15,480
Speaker 5: have climbed in popularity among every day investors. These are

1101
00:53:15,600 --> 00:53:17,919
Speaker 5: one day bets on the direction of the market, which

1102
00:53:17,960 --> 00:53:21,680
Speaker 5: can offer outsize returns rewards and also outsize risk.

1103
00:53:21,800 --> 00:53:23,520
Speaker 2: So you just got to love to see the translation

1104
00:53:23,600 --> 00:53:26,800
Speaker 2: of risk appetite. There ain't no risk appetite. Okay, everyone's

1105
00:53:26,800 --> 00:53:29,160
Speaker 2: just logging back into their robin Hood accounts and they're

1106
00:53:29,160 --> 00:53:31,560
Speaker 2: having fun, which was the entire point of the game

1107
00:53:31,600 --> 00:53:34,080
Speaker 2: stop craze. But I mean, look, I guess it just

1108
00:53:34,120 --> 00:53:36,279
Speaker 2: does show the power is still there, Crystal, if you

1109
00:53:36,320 --> 00:53:36,840
Speaker 2: want it to be.

1110
00:53:37,160 --> 00:53:37,800
Speaker 3: For the Internet.

1111
00:53:37,840 --> 00:53:39,279
Speaker 2: It was such a fun story at the time, the

1112
00:53:39,280 --> 00:53:43,120
Speaker 2: short squeeze getting the big investors getting screwed inspired the

1113
00:53:43,200 --> 00:53:46,759
Speaker 2: movie made Ken Griffin became a household name. There is

1114
00:53:46,800 --> 00:53:49,520
Speaker 2: still some h really shady stuff that went on with

1115
00:53:49,680 --> 00:53:50,280
Speaker 2: robin Hood.

1116
00:53:51,160 --> 00:53:51,600
Speaker 4: All of that.

1117
00:53:51,680 --> 00:53:52,520
Speaker 3: I think it was very.

1118
00:53:52,360 --> 00:53:54,680
Speaker 2: Illuminating episode for everyone because you're like, oh man, the

1119
00:53:54,719 --> 00:53:55,720
Speaker 2: system really is rigged.

1120
00:53:56,120 --> 00:53:58,600
Speaker 1: Absolutely, those are the pieces of it that made the

1121
00:53:58,640 --> 00:54:03,520
Speaker 1: story so compelling and so like illustrative of the realities

1122
00:54:03,719 --> 00:54:06,400
Speaker 1: of our economy. So first of all, let's just reflect

1123
00:54:06,440 --> 00:54:09,439
Speaker 1: on the power of this one random dude who can

1124
00:54:09,520 --> 00:54:13,359
Speaker 1: post a meme and move markets to this extent, Like

1125
00:54:13,680 --> 00:54:16,719
Speaker 1: that's incredible, and especially because listen, we're used to like

1126
00:54:16,840 --> 00:54:19,520
Speaker 1: you know, the Fed or like Titans of Wall Street

1127
00:54:19,800 --> 00:54:21,799
Speaker 1: being able to do this, our Elon Musk, you know,

1128
00:54:21,880 --> 00:54:24,680
Speaker 1: a billionaire being able to do the same but here

1129
00:54:24,760 --> 00:54:26,920
Speaker 1: you have this guy who just through the force of

1130
00:54:27,000 --> 00:54:30,880
Speaker 1: his like persistence, basically was able to persuade people like,

1131
00:54:31,160 --> 00:54:34,520
Speaker 1: we're doing this, You're coming along, screw what they say,

1132
00:54:34,840 --> 00:54:37,280
Speaker 1: We're all in, We're going to make this happen.

1133
00:54:37,320 --> 00:54:38,760
Speaker 4: We're going to screw the shorts.

1134
00:54:39,160 --> 00:54:41,680
Speaker 1: And you know, through just basically like his force and

1135
00:54:41,760 --> 00:54:45,120
Speaker 1: persistence being able to move markets in this way. And

1136
00:54:45,760 --> 00:54:47,920
Speaker 1: there's a few things that I always found really interesting

1137
00:54:48,040 --> 00:54:52,360
Speaker 1: about the story. First of all, it really revealed something

1138
00:54:52,480 --> 00:54:54,799
Speaker 1: that I think a lot of people intuitively know, which

1139
00:54:54,840 --> 00:54:57,279
Speaker 1: is how fake the stock market is to begin with.

1140
00:54:58,000 --> 00:55:00,239
Speaker 1: So the fact that you could have this on line

1141
00:55:00,280 --> 00:55:03,799
Speaker 1: movement and really you know, take it to big Wall

1142
00:55:03,800 --> 00:55:08,319
Speaker 1: Street players in a significant way, that was interesting and,

1143
00:55:08,360 --> 00:55:09,000
Speaker 1: as I said.

1144
00:55:08,840 --> 00:55:10,560
Speaker 4: Sort of revealed how fake a lot of.

1145
00:55:10,480 --> 00:55:14,720
Speaker 1: This Wall Street shenanigans really are in stock market prices,

1146
00:55:14,760 --> 00:55:17,560
Speaker 1: et cetera. But then you also had the other side

1147
00:55:17,600 --> 00:55:19,759
Speaker 1: of it, which was listen, right when they're on the

1148
00:55:19,840 --> 00:55:24,319
Speaker 1: verge of a real victory, the collusion that occurred, and

1149
00:55:24,440 --> 00:55:28,120
Speaker 1: the you know, top down crushing of this movement, and

1150
00:55:28,320 --> 00:55:30,480
Speaker 1: you know, they they made it so that on the

1151
00:55:30,560 --> 00:55:32,680
Speaker 1: robin Hood platform you can no longer buy the stock,

1152
00:55:32,719 --> 00:55:36,400
Speaker 1: you could only sell the stock, and that effectively, at

1153
00:55:36,480 --> 00:55:39,240
Speaker 1: least for the time, really, you know, crushed the movement

1154
00:55:39,320 --> 00:55:41,880
Speaker 1: and ended it. So it was this Dave and Goliath story.

1155
00:55:42,280 --> 00:55:44,279
Speaker 1: David looked like he had the upper hand and then

1156
00:55:44,360 --> 00:55:47,760
Speaker 1: Goliath comes in and then you know, we'reing. Kitty himself

1157
00:55:47,800 --> 00:55:50,399
Speaker 1: as you were poorting to soccer, became the subject of all.

1158
00:55:50,480 --> 00:55:53,920
Speaker 1: I mean, he was really aggressively. They dragged him in

1159
00:55:53,960 --> 00:55:56,680
Speaker 1: front of Congress and lost. I mean, they went after

1160
00:55:56,800 --> 00:55:59,080
Speaker 1: him like crazy. You would think he was the you know,

1161
00:55:59,120 --> 00:56:03,080
Speaker 1: a villain of the central et cetera for his promotion

1162
00:56:03,320 --> 00:56:06,319
Speaker 1: of the game stop stocks. So interesting to see he's

1163
00:56:06,320 --> 00:56:07,160
Speaker 1: still got it apparently.

1164
00:56:07,320 --> 00:56:07,520
Speaker 3: Yeah.

1165
00:56:07,520 --> 00:56:10,080
Speaker 2: I mean, his employer, mass Mutual was actually fine, like

1166
00:56:10,160 --> 00:56:13,080
Speaker 2: four million dollars because he was working for them and

1167
00:56:13,080 --> 00:56:16,280
Speaker 2: doing this stuff. On this side, he was a shit poster.

1168
00:56:16,800 --> 00:56:19,000
Speaker 2: It's not even really fair, to be honest. I mean,

1169
00:56:19,320 --> 00:56:22,799
Speaker 2: let's be real, like it's an amazing feat. He leveraged

1170
00:56:22,880 --> 00:56:27,120
Speaker 2: his Internet personality. His YouTube videos and Reddit posts turned

1171
00:56:27,160 --> 00:56:29,960
Speaker 2: fifty thousand dollars into some fifties. Nobody really knows how

1172
00:56:30,040 --> 00:56:32,440
Speaker 2: much of a profit, but tens of millions and millions

1173
00:56:32,440 --> 00:56:35,200
Speaker 2: of millions of dollars for him and for his family.

1174
00:56:35,480 --> 00:56:37,319
Speaker 3: I mean, that's that's the American dream.

1175
00:56:37,400 --> 00:56:40,560
Speaker 2: To me, somebody like that, that's the best of online influencer.

1176
00:56:40,760 --> 00:56:44,240
Speaker 2: And he did it specifically by going after and beating

1177
00:56:44,480 --> 00:56:48,080
Speaker 2: these hedge fund managers, who, as the movie accurately portrays,

1178
00:56:48,320 --> 00:56:51,880
Speaker 2: are just the most like just the most the worst

1179
00:56:51,920 --> 00:56:54,680
Speaker 2: people in the US. They create nothing, they do nothing,

1180
00:56:54,719 --> 00:56:57,480
Speaker 2: made tens of billions of dollars betting and defeating and

1181
00:56:57,560 --> 00:57:01,560
Speaker 2: trying to destroy companies. I mean, Ken griff entire innovation

1182
00:57:01,920 --> 00:57:05,680
Speaker 2: is high frequency trading and basically getting an edge by

1183
00:57:05,719 --> 00:57:08,880
Speaker 2: trading something three microseconds ahead of somebody else. Sorry, I

1184
00:57:08,880 --> 00:57:10,759
Speaker 2: don't think you're adding all that much, you know, to

1185
00:57:10,960 --> 00:57:13,680
Speaker 2: a value to the United States. But this man is

1186
00:57:13,680 --> 00:57:16,040
Speaker 2: worth what thirty forty billion dollars, one of the richest

1187
00:57:16,040 --> 00:57:19,480
Speaker 2: men in the United States. That's exactly why Gil became

1188
00:57:19,520 --> 00:57:22,120
Speaker 2: such a popular figure in his own right. And every

1189
00:57:22,120 --> 00:57:24,560
Speaker 2: time something like this happens, it does show you Again,

1190
00:57:25,120 --> 00:57:28,000
Speaker 2: let's get to the communitarian aspect of what happened back

1191
00:57:28,040 --> 00:57:30,400
Speaker 2: in twenty twenty one is where we just come out

1192
00:57:30,440 --> 00:57:32,480
Speaker 2: of COVID. I'm sure you remember this too, Crystal. This

1193
00:57:32,520 --> 00:57:35,160
Speaker 2: was right after January sixth, so things were tense. I

1194
00:57:35,200 --> 00:57:37,240
Speaker 2: remember covering this and just being like, man, this is

1195
00:57:37,240 --> 00:57:41,000
Speaker 2: the first fun story I've covered in years. It was

1196
00:57:41,120 --> 00:57:43,760
Speaker 2: just it was great to just get wrapped up on it.

1197
00:57:43,800 --> 00:57:44,000
Speaker 3: Now.

1198
00:57:44,200 --> 00:57:45,760
Speaker 2: Not great for a lot of people out there. And

1199
00:57:45,800 --> 00:57:47,800
Speaker 2: let's be honest, you did lose a lot of money,

1200
00:57:47,800 --> 00:57:49,400
Speaker 2: but you know you're an adult. You know you should

1201
00:57:49,400 --> 00:57:51,720
Speaker 2: at least know what you're doing. And by Keith's own admission,

1202
00:57:51,720 --> 00:57:54,120
Speaker 2: you never told anybody to buy the stock per se.

1203
00:57:54,400 --> 00:57:56,600
Speaker 2: Let's put this up there on the screen just to reiterate,

1204
00:57:56,880 --> 00:57:59,600
Speaker 2: this is literally the meme that made it all happen.

1205
00:58:00,000 --> 00:58:03,440
Speaker 2: Appears to show a guy who is gaming leaning forward.

1206
00:58:03,480 --> 00:58:06,240
Speaker 2: He has since tweeted out like twenty five different of

1207
00:58:06,240 --> 00:58:09,440
Speaker 2: his signature memes, which are like clips from movies and

1208
00:58:09,480 --> 00:58:12,640
Speaker 2: other things inspirational. Wolverine coming out of the tank and

1209
00:58:12,800 --> 00:58:14,960
Speaker 2: killing somebody, So maybe he's back. I would really love

1210
00:58:15,000 --> 00:58:17,840
Speaker 2: to see him actually do a YouTube video. We have

1211
00:58:18,280 --> 00:58:20,640
Speaker 2: one of those, we can put here on this green.

1212
00:58:20,840 --> 00:58:24,040
Speaker 2: So here you've got Wolverine in the tank coming out,

1213
00:58:24,280 --> 00:58:26,240
Speaker 2: you're seeing the god.

1214
00:58:26,280 --> 00:58:26,919
Speaker 3: What is the metal?

1215
00:58:27,040 --> 00:58:28,640
Speaker 4: The metal? I don't remember either.

1216
00:58:28,720 --> 00:58:31,640
Speaker 3: Totally blanking on the name right now, Griffin.

1217
00:58:31,680 --> 00:58:34,760
Speaker 4: You want to tell about the Wolverine origin story basically,

1218
00:58:34,840 --> 00:58:36,320
Speaker 4: right or is that?

1219
00:58:36,360 --> 00:58:37,360
Speaker 3: I think that one's from Logan.

1220
00:58:37,480 --> 00:58:38,120
Speaker 4: No, I don't think so.

1221
00:58:38,200 --> 00:58:40,000
Speaker 1: I think that was an accident because I never watched

1222
00:58:40,040 --> 00:58:41,680
Speaker 1: Logan and I definitely have seen that.

1223
00:58:42,040 --> 00:58:42,400
Speaker 4: Got it.

1224
00:58:42,720 --> 00:58:44,360
Speaker 3: Uh, Okay, that was X two.

1225
00:58:45,040 --> 00:58:47,360
Speaker 4: Yeah, that makes sense, that makes sense. I actually loved

1226
00:58:47,360 --> 00:58:47,720
Speaker 4: those movies.

1227
00:58:47,840 --> 00:58:51,040
Speaker 2: The X Men movies were gat yeah, big mag Anyways,

1228
00:58:51,240 --> 00:58:53,520
Speaker 2: I think they're coming back actually, or there's some fusion

1229
00:58:53,520 --> 00:58:57,440
Speaker 2: of the universe with Deadpool. That's X Men origins Wolverine.

1230
00:58:57,480 --> 00:58:59,520
Speaker 2: That's according to our junior guy in the control room thing.

1231
00:58:59,520 --> 00:58:59,960
Speaker 8: There we go.

1232
00:59:00,440 --> 00:59:01,439
Speaker 3: We appreciate you, Ian.

1233
00:59:02,120 --> 00:59:04,880
Speaker 2: So it's one of those where the memes are back,

1234
00:59:05,000 --> 00:59:05,800
Speaker 2: the stocks are back.

1235
00:59:05,880 --> 00:59:06,920
Speaker 3: This will be a fun story.

1236
00:59:06,960 --> 00:59:09,520
Speaker 2: Hopefully, maybe this time around they can crush somebody else

1237
00:59:09,680 --> 00:59:11,000
Speaker 2: Wall Street Person's dreams.

1238
00:59:11,040 --> 00:59:11,840
Speaker 3: But we'll see.

1239
00:59:11,920 --> 00:59:13,720
Speaker 2: And we want to give everybody an update and get

1240
00:59:13,760 --> 00:59:15,439
Speaker 2: some of the fun stuff into the show as well.