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

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

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

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

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

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

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

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

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

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Speaker 3: What do we have personal indeed, we do. Let's to

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Speaker 3: get to you this morning.

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Speaker 1: So a big legal decision goes in the direction of

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Speaker 1: Donald Trump. We will explain what this means, but incredibly

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Speaker 1: consequential decision from the Supreme Court. We also have the

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Speaker 1: end of an era as Senator Mitch McConnell announces he

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Speaker 1: is stepping down from leadership even as he keeps his

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Speaker 1: Senate seat for now, so big ramifications there as well.

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Speaker 1: Democrats and their media organs are coping and seating over

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Speaker 1: the results from the Michigan primary election and the large

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Speaker 1: number of uncommitted votes, so we'll talk about that. We're

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Speaker 1: also really excited to be joined live this morning by

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Speaker 1: the mayor of Dearborn, who is going to react to

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Speaker 1: those results and tell us where the uncommitted movement goes

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Speaker 1: from here. A former Israeli Prime minister is warning that

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Speaker 1: Netna who wants to drag Israel into an all out

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Speaker 1: war and cause armageddon, pushing all of the Palestinians out

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Speaker 1: of the West Banks, so important to listen to his warnings.

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Speaker 3: Quite noteworthy there.

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Speaker 1: RFK is saying he's on the ballot into more important states,

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Speaker 1: so we'll dig into that.

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Speaker 3: Very interesting there as well.

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Speaker 1: And Wendy's is under fire for floating surge pricing, and

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Speaker 1: we have some other various news about food prices that

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Speaker 1: impact your wallet.

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Speaker 2: Yes, that's right, before we get to that, it is

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Speaker 2: Leap Day, so happy Leap Day, our first Leap day.

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Speaker 2: Actually here at breaking Points, and we've been speculating there

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Speaker 2: are some people are wondering where if you sign up

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Speaker 2: for a yearly membership today, who knows whenever you're going

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Speaker 2: to get built sometime in the future. So anyways, you

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Speaker 2: can maybe want to take advantage of that. You could

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Speaker 2: roll the dice and see exactly how it plays out.

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Speaker 2: Breakingpoints dot Com we want to go ahead and help

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Speaker 2: us out. We have a discount going on, so you know,

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Speaker 2: you never know, you want to lock it in for

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Speaker 2: the next four years. Maybe you could try it. We'll

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Speaker 2: see how that works out. I genuinely have no idea

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Speaker 2: how the billing system will do it. So it's one

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Speaker 2: of those where maybe we're screwing ourselves.

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Speaker 1: Crystal lay as well give us sun find out, find

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Speaker 1: out what happens next year.

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Speaker 2: You might as well try it, all right.

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Speaker 1: So let's get into this big Trump legal news. Let's

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Speaker 1: put this up on the screen. So the Supreme Court

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Speaker 1: has decided to take up this question of whether Trump

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Speaker 1: has complete immunity for basically anything that he did while

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Speaker 1: he was president of the United States. This is especially

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Speaker 1: relevant to the January sixth related Jack Smith case. Trump's

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Speaker 1: strategy all along has been to try to push these

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Speaker 1: cases out as far as he can, to hopefully push

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Speaker 1: them beyond election day. On this immunity claim thing. Most

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Speaker 1: of the legal scholars don't believe that he will actually

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Speaker 1: win this claim. The whole game is just to delay

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Speaker 1: this trial as much as possible. So let me read

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Speaker 1: a little bit of what we have here. It says

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Speaker 1: the Supreme Court agreed Wednesday to decide whether Donald Trump may

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Speaker 1: claim immunity in Special counsel Jacksmith's election subversion case, adding

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Speaker 1: another explosive appeal from the former president to its docket

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Speaker 1: and further delaying his federal trial. The Court agreed to

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Speaker 1: expedite the case, and.

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Speaker 3: Here arguments the week of April twenty second.

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Speaker 1: That's still a ways out though, and then the expectation

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Speaker 1: is after that, even after that's resolved, even if they

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Speaker 1: resolve that question in a relatively timely fashion, which would

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Speaker 1: mean probably by like the end of June, you would

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Speaker 1: get that decision. You're flirting with already that trial starting

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Speaker 1: near election day or perhaps after election day, depending on

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Speaker 1: the decisions that the judge makes. So this is incredibly

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Speaker 1: significant for Trump. Again, the expectation is it necessarily that

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Speaker 1: he would win this challenge, but the very fact of

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Speaker 1: buying some time here.

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Speaker 3: Is really really important.

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Speaker 1: And Sager, you know, you've got a lot of other

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Speaker 1: things going on. The one case that appears to be

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Speaker 1: going forward is the weekest one in New York. The

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Speaker 1: try there is actually set to start pretty soon, so

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Speaker 1: you've got that one. But that case is, like I said,

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Speaker 1: it's the weakest case and has the least serious charges

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Speaker 1: against him. So you do have that one, the Georgia one,

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Speaker 1: you got the whole situation with Fanny Willis, which has

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Speaker 1: really thrown that one into disarray. The Florida one, that

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Speaker 1: one is taking forever. I don't think there's any expectation

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Speaker 1: that one is likely to conclude, certainly before election day.

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Speaker 1: And now this one also getting pushed off. I mean,

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Speaker 1: these things are really falling in his direction at this point.

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Speaker 2: I listen, whatever we said before, he's touched. He's been

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Speaker 2: touched by financial man. I'm luckiest man alive because Cristal,

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Speaker 2: as you said, and I confirm this, is that the

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Speaker 2: trial could now start late September or October. The thing

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Speaker 2: is is that there is a scenario where this is

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Speaker 2: a possible own goal by Trump. Because you have a

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Speaker 2: parallel split screen going into the election. We can imagine

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Speaker 2: our own show where we're going to be talking about

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Speaker 2: whatever the major electoral news of the day, and then

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Speaker 2: the latest news out of the trial, and obviously the

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Speaker 2: trial that probably matters the most politically in terms of

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Speaker 2: its consequences for Trump. Right before the election. You could

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Speaker 2: also imagine I guess, you know, several versions of October

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Speaker 2: surprises like new witnesses and a delay tactic that would

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Speaker 2: put this is the thing with trials and the legal system,

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Speaker 2: it's incredibly slow. The judge's been in charge. One of

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Speaker 2: the reasons why it's going to start so late. She

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Speaker 2: has guaranteed preparation time of several months, where even if

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Speaker 2: the Supreme Court case does rule on an expedited timeline,

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Speaker 2: that's what it pushes it back. But all Trump needs

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Speaker 2: now at this point is one more legal maneuver to

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Speaker 2: go his way, and this thing is not going to

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Speaker 2: happen before the election, which you know, validates a couple

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Speaker 2: of things. One is, I think the major criticism of

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Speaker 2: Jack Smith and of MARYK. Garland was like, Dude, everybody

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Speaker 2: told you twenty twenty three is too late because of

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Speaker 2: the way our legal system, you waited for so long

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Speaker 2: to bring this case. If it does get pushed bast

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Speaker 2: election day, I think that's on them, that's their fault.

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Speaker 2: You know, the defense is obviously going to do everything

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Speaker 2: it can. As you said, it's very unlikely that the

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Speaker 2: Supreme In fact, one of the theories that I've seen

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Speaker 2: about why the scotis took the case, regardless of whether

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Speaker 2: they think they're trying to help Trump or not, is

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Speaker 2: actually to definitively rule on presidential immunity for all times,

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Speaker 2: so we don't have this question ever. Again, they're like, no,

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Speaker 2: the president's not immune ever, period, and the story decided

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Speaker 2: by the High Court.

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Speaker 1: Well, it is important to emphasize how insane what Trump

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Speaker 1: is actually claiming here is because again, most people think

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Speaker 1: that the Supreme Court is not going to side with him,

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Speaker 1: but there's no guarantees there. And basically he's arguing that

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Speaker 1: not just him, but any president could commit effectively any

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Speaker 1: crime when they are president of the United States, and

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Speaker 1: as long as you could sort of loosely connect it

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Speaker 1: to their quote unquote presidential duties.

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Speaker 3: They get off scot free.

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Speaker 1: That is a wild interpretation of the Constitution. It would

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Speaker 1: be an un precedent and interpretation of the Constitution and

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Speaker 1: the abilities of the president.

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Speaker 3: I mean, it really would be giving making.

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Speaker 1: Them completely above the law in effectively all instances, which

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Speaker 1: is why all of the courts up to here have

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Speaker 1: not only ruled against Trump on this but issued pretty

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Speaker 1: scathing rulings about this. I mean, you remember last time,

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Speaker 1: if people were talking about the judges were questioning his

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Speaker 1: attorneys of Okay, so if you use sealed team six

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Speaker 1: to execute a political opponent, you're saying, basically, there could

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Speaker 1: be no accountability, there could be no criminal charges over that.

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Speaker 1: And the answer basically came back, as long as the

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Speaker 1: president isn't impeached over it, then yes, they could do

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Speaker 1: whatever they want.

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Speaker 3: That's an insane standard.

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Speaker 1: That's why most people think that the Supreme Court isn't

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Speaker 1: going to go along with it. But we should keep

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Speaker 1: in mind how wild it is that there's even a

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Speaker 1: possibility that the Supreme Court could potentially agree with that.

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Speaker 1: But right now, the most important consequence of this is

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Speaker 1: just a timeline. I mean, it is important what you

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Speaker 1: pointed out sober that there is a possibility that this

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Speaker 1: actually lands the trial in the most politically damaging moment

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Speaker 1: for Trump, the time when Americans are most tuned into

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Speaker 1: the presidential race, when he should be out, you know,

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Speaker 1: primarily campaigning, and instead is having to go through these

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Speaker 1: trial processes, new information coming out. Everybody you know glued

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Speaker 1: to the TV to find out what's going on with

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Speaker 1: this election interference case. This is the one that you

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Speaker 1: know speaks most directly, I think to the reasons that

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Speaker 1: so many Americans dislike Trump and don't want him back

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Speaker 1: in office. So listen, it's possible that it works out

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Speaker 1: that way. But he also now has a chance chance

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Speaker 1: to basically push all of these things off until he's

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Speaker 1: potentially president of the United States again, at which time

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Speaker 1: it effectively all goes well.

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Speaker 4: Well.

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Speaker 2: The other thing to remember is being on trial and

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Speaker 2: being convicted are very different things. One of the things

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Speaker 2: that you and I had talked about previously is there's

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Speaker 2: a lot of pulling out there that shows if he's

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Speaker 2: a convicted felon, that would be very likely to change

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Speaker 2: people's decision. What I have here in front of me

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Speaker 2: shows that if we have and this because of the

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Speaker 2: way that the judge has decided the case, Trump is

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Speaker 2: owed an additional eighty two days of preparation time after

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Speaker 2: the decision by the Supreme Court, depending on whenever that drops.

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Speaker 2: That's why the September October date comes into mind. Well,

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Speaker 2: we doesn't you know, it doesn't take much genius to

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Speaker 2: figure out that if you're the Trump team, even especially

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Speaker 2: because they all think they're going to lose in the

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Speaker 2: first place, push this thing out and drag it out

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Speaker 2: as much as possible, so that even if the trials

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Speaker 2: in full swing, you don't get a conviction or a

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Speaker 2: jury deliberation until after election day, which is very early

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Speaker 2: in November. So there you go. Now you have it

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Speaker 2: so that we would have some sort of insane legal

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Speaker 2: poly crisis where you have a president elect former president

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Speaker 2: on trial, who then has the trial, who then has

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Speaker 2: a conviction and appeals process that begins after that. You're

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Speaker 2: not even assuming office but preparing to actually swear in

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Speaker 2: the oath of office, which is as a whole other

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Speaker 2: legal ramifications as to how exactly that might work, but

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Speaker 2: that immediately comes to mind as if I'm Trump, I

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Speaker 2: don't want to be convicted before what is it, November eighth,

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Speaker 2: I think is election day, So that's it. I'd be like,

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Speaker 2: I'm My entire legal strategy is not even about defense

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Speaker 2: on the charges, although of course we want to do that.

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Speaker 2: It's let's make sure that this doesn't happen before that time.

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Speaker 2: And this effect, I wouldn't say guarantees it, but it

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Speaker 2: makes it very much more likely, and it makes it

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Speaker 2: a lot more politically better.

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Speaker 1: It makes it possible, makes it possible. One other thing

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Speaker 1: I wanted to note. There was one other piece of

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Speaker 1: legal news. An Illinois judge also removed Trump from the

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Speaker 1: ballot because of the insurrectionist ban. That is the case

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Speaker 1: that the Supreme Court has already heard arguments in seemed

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Speaker 1: very skeptical of the idea that Trump could be banned

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Speaker 1: from ballots based on this clause of the Constitution, and so,

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Speaker 1: like I said, they seem very skeptical, including some of

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Speaker 1: the liberal justices seem skeptical there. I guess you never know,

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Speaker 1: but unlikely that that particular challenge is going to go

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Speaker 1: against Trump and just take him out of the game altogether.

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Speaker 1: But I did want to update on that that, you know,

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Speaker 1: I think this is the third state that has decided

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Speaker 1: that Trump should be removed from the ballot based on

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Speaker 1: that clism.

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Speaker 3: You know.

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Speaker 2: Another reason why it was very significant is one of

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Speaker 2: the legal justifications that they could have used, possibly, you know,

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Speaker 2: depending on the ruling, is that if you haven't been

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Speaker 2: convicted of you know, anything, insurrection behavior or whatever, they

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Speaker 2: can't be removed. Well in this trial, this is the

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Speaker 2: trial that would pertain to that from a federal brand,

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Speaker 2: from a federal juryist deciding whether he legally had committed

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Speaker 2: crimes like this in the first place, which then means

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Speaker 2: that you can't have a ruling in many of these

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Speaker 2: courts to try and remove him from the ballot based

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Speaker 2: on a pretextual kind of interpretation of the Constitution. So

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Speaker 2: there are actually a lot of ramifications for this one.

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Speaker 2: But yeah, like you said, very in consequential Trump he's

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Speaker 2: been touched by an angel.

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Speaker 1: Yeah, we'll see. I mean, like you said, I do

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Speaker 1: want to it is possible that it does blow up

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Speaker 1: in their face. And we're having this trial in September October,

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Speaker 1: which to just be crazy, who knows. But anyway, right

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Speaker 1: now he's got a chance to in spite of the

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Speaker 1: fact that there are so many charges against him in

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Speaker 1: so many different jurisdictions, so many different cases. You really

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Speaker 1: do have to put this on Merrick Garland. It's not

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Speaker 1: really Jacksmith's fault, since he was brought in kind of.

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Speaker 3: Late in the game. It's really more Merrick Garland's fault.

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Speaker 3: I don't know.

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Speaker 1: I mean, January six was a long time ago. We

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Speaker 1: all saw what happened. If you were going to put

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Speaker 1: together or expect that there could be this election subversion case,

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Speaker 1: you could have started that right away, and so the

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Speaker 1: fact that he dially dallied for noa parent reason is

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Speaker 1: really that it gave Trump an opening to potentially be

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Speaker 1: able to get.

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Speaker 3: Away with all of it scott free. So we'll see

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Speaker 3: how it all works out.

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Speaker 2: We'll see. Mitch McConnell, this is the biggest headline news,

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Speaker 2: you know, big big deal here in Washington. One of

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Speaker 2: the longest serving Senate leaders in American history, announcing that

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Speaker 2: he will be retiring at the end of November. He

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Speaker 2: announced sat on the Senate floor yesterday. Let's take a listen.

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Speaker 5: Believe me, I know the politics within my party at

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Speaker 5: this particular moment in time. I have many faults, mister,

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Speaker 5: understanding politics is not one off that's said. I believe,

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Speaker 5: more Sengan than ever that America's global leadership is essential

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Speaker 5: to preserving the shining City on a Hill that Ronald

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Speaker 5: Reagan discussed. As long as I'm drawing breath on this earth,

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Speaker 5: I will defend American exceptionalism. So, as I've been thinking

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Speaker 5: about when I would deliver some news to the Senate,

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Speaker 5: I always imagined a moment when I had total clarity

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Speaker 5: and peace about the sunset of my work.

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Speaker 2: Even in that clip, Crystal, he's frail man, and he's

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Speaker 2: clearly not even close to what he once was.

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Speaker 3: A lot of Joe Biden vibes. They're watching Joe Biden

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Speaker 3: trying to get through that.

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Speaker 2: It's you know, I'm just putting it together with this

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Speaker 2: is a larger global phenomenon. It's kind of interesting to

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Speaker 2: think about it in this context, which is that ten

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Speaker 2: years ago there was only one the world leader of

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Speaker 2: the major I think it was like G twenty countries,

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Speaker 2: which was under the age of seventy. Today there's eight,

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Speaker 2: eight out of ten. So ten years later, eight out

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Speaker 2: of ten now of the global like people like Mody,

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Speaker 2: people like Biden, I forget, so many of them are

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Speaker 2: much much older than the average president. I mean, we

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Speaker 2: have to go back and think, you know that, how

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Speaker 2: how much press conversation there was about sixty something year

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Speaker 2: old Ronald Reagan running for president and he's a decade

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Speaker 2: younger now in this case of the two people who

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Speaker 2: are trying to assume that office for another four years.

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Speaker 2: And just a reminder, you know that we all probably

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Speaker 2: need here about McConnell, like he's still retiring far, far

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Speaker 2: too late, And don't forget he still got, you know,

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Speaker 2: up until November that he wants to serve out his term.

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Speaker 2: We have all of this, we could show you just

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Speaker 2: to you know, we can't forget that we had a

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Speaker 2: full blown meltdown on a camera. And the craziest thing

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Speaker 2: is it happened twice. Not to mention, you know, the

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Speaker 2: bruised hands, which is often indication of IV. It's something

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Speaker 2: that showed up on the Queen, you know, before she

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Speaker 2: died very very very quickly. And when you have people

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Speaker 2: who are in this state, who are so clearly frail,

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Speaker 2: and you know, it's yeah, in a certain point, great,

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Speaker 2: I'm glad you're going for ideological reasons and for health reasons.

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Speaker 2: But he's still insisting Crystal on staying up until November.

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Speaker 2: I mean, the honesty of it is the same thing

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Speaker 2: with Feinstein, same thing with Biden. Where how do the

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Speaker 2: people around him tolerate this? Like, how can you allow

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Speaker 2: somebody to just to continue in this job after you've

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Speaker 2: suffered massive health events on camera? And by the way,

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Speaker 2: don't forget the cope from the McConnell team is it's

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Speaker 2: only happened twice. They just happened to only happen on camera, okay,

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Speaker 2: which is like one percent of his life.

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Speaker 1: So we never got an explanation for what they still

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Speaker 1: it was nonsense, which is ridiculous.

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Speaker 3: But yeah, what do you do?

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Speaker 1: You have a theory of why that is that there

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Speaker 1: are so many aging world leaders, and it's not just

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Speaker 1: a US phenomenon.

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Speaker 2: Yeah, I mean, look, a lot of it is demographic,

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Speaker 2: which there was a huge baby boom in the nineteen forties.

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Speaker 2: Baby boomers years not necessarily unique phenomenon. It's the same

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Speaker 2: all across the world. So I think that they're very likely.

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Speaker 2: You know, you still have kind of the median voter theory,

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Speaker 2: especially here in the West and a lot of other

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Speaker 2: voluntary democracies where people who are younger in general don't

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Speaker 2: engage in the political system and people who are old

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Speaker 2: like to not only people like people who are their

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Speaker 2: own age, but in some cases the people that they

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Speaker 2: look up to, which is what will have the older

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Speaker 2: boomers or the silent generation, people like Joe Biden. So

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Speaker 2: I think that's a possible explanation, and it does actually

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Speaker 2: make a lot of sense. Obviously, there's a medical thing

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Speaker 2: that comes in here too, you know, life expectancy, I

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Speaker 2: mean life expectancy in America if you're in the top

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Speaker 2: ten percent of wealth, is something like ninety two years old,

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Speaker 2: which is crazy, I mean, because it averages out I

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Speaker 2: think at like seventy two. But that's because if you speak,

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Speaker 2: when you combine everybody, but when you look at it

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Speaker 2: by wealth, like if you have money in this country,

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Speaker 2: you're going to live for a long time. So it's

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Speaker 2: one of those where the life expectancy, especially among that

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Speaker 2: top ten percent, has gone now so high that you know,

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Speaker 2: in some cases, you know, many of these people are

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Speaker 2: actually able to function much much older than they would

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Speaker 2: have been able to twenty thirty years ago.

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Speaker 3: Yeah.

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Speaker 1: One thing I know you pointed to in a previous

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Speaker 1: monologue that was focused on America, But I mean, what

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Speaker 1: happens here has reverberations around the world is sort of

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Speaker 1: like a democratic decline, Yes, you know, in terms of

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Speaker 1: like small d democracy and the people actually having choice

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Speaker 1: and actually being able to like have some say over

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Speaker 1: who their political leadership is, and tying that to this

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Speaker 1: increasingly aged political class. And I thought that was very

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Speaker 1: insightful and certainly ties into how you end up with

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Speaker 1: you know, Joe Biden and Mitch McConnell, Diane Feinstein and

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Speaker 1: Nancy Pelosi and Maxine wat all these people, right, Jim cliber,

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Speaker 1: I mean, all of these people are way way, way,

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Speaker 1: way way past their prime. You know, there's a few

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Speaker 1: things that are noteworthy here. First of all, noteworthy that

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Speaker 1: McConnell is stepping down from leadership at a time when

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Speaker 1: very possible that Republicans are able to win back the

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Speaker 1: majority in the Senate.

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Speaker 3: So that's noteworthy.

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Speaker 1: It's also noteworthy, you know, he's not saying he's stepping

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Speaker 1: down from his Senate seat, so we can give him

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Speaker 1: some kudos from stepping down for leadership. But I mean,

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Speaker 1: this very old man who's freezing and having all kinds

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Speaker 1: of problems on camera, and we don't know what's going on.

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Speaker 3: With his health.

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Speaker 1: It's still planning to stick around in Washington for years

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Speaker 1: to come, so don't worry. I haven't seen the last

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Speaker 1: of Mitch McConnell. The other thing is, I understood there's

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Speaker 1: been conversation about like, oh, this is the last sort

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Speaker 1: of den in of the you know, pre the old

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Speaker 1: Republican order, And I understand that conversation in a sense.

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Speaker 1: But first of all, a lot of that old Republican

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Speaker 1: order still really runs the machinery here in Washington behind

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Speaker 1: the scenes. And second of all, you know, when push

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Speaker 1: came to che Mitch McConnell and Donald when Donald Trump

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Speaker 1: was present, I mean did everything that Trump wanted him

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Speaker 1: to on policy, They didn't have a lot of significant divides.

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Speaker 1: I know there's this idea that they're like wildly different

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Speaker 1: on Ukraine, but it's not even clear to me at

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Speaker 1: this point what Trump doesn't really talk about Ukraine a lot.

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Speaker 1: It's not even clear to me at this point what

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Speaker 1: his Ukraine policy would actually be. So and Trump, of course,

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Speaker 1: when he was in office, his signature accomplishment was a

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Speaker 1: business friendly and rich people friendly tax cut. That would

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Speaker 1: be something that Mitch McConnell absolutely loved and was happy

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Speaker 1: to bring to the donor class. So in some ways,

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Speaker 1: I think the ideological divide between them is really overstated.

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Speaker 1: There's more of like a I don't know, a vibe

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Speaker 1: divide between them than I think there is really truly

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Speaker 1: like ideological gulf between.

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Speaker 2: It depends, because the thing is that in twenty seventeen,

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Speaker 2: it genuinely was impactful to have Paul Ryan and Mitch

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Speaker 2: McConnell that were in charge, and the main consequence of

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Speaker 2: that really is border policy and specifically the border wall.

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Speaker 2: So it was a huge fight in twenty seventeen that

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Speaker 2: actually culminated in the TCJA over not only building a

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Speaker 2: border wall, but something called border adjustment tax. Now to be,

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Speaker 2: I highly support this tax, regardless whether it pays for

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Speaker 2: a border wall not, because it's a trade adjustment in

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Speaker 2: terms of goods that cross over from Mexico. The number

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Speaker 2: one opponent of the BAT as it's known kind of

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Speaker 2: here in DC or Walmart and all these other people

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Speaker 2: that are shipping all this cheap product across the border.

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Speaker 2: It's a major consequence of NAFTA. We tried to clean

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Speaker 2: up some of it in the what is it called

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Speaker 2: the whatever replaced after I forget the of my head.

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Speaker 2: My point is that BAT is at the feet of

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Speaker 2: Paul Ryan and Mitch McConnell. So it's not that. Yeah,

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Speaker 2: you're right, the TCJA and all that definitely did pass.

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Speaker 2: But there were certain bananesque type visions, like a major

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Speaker 2: infrastructure package, the BAT, border wall, well, probably some immigration reform.

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Speaker 2: I can think of repeal and replace Obamacare and all

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Speaker 2: of that that where you know, marginal but still important,

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Speaker 2: where mcconald certainly did have a difference. Now in terms

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Speaker 2: of the leadership, I do want to highlight your point.

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Speaker 2: I think you are correct, and we have this up

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Speaker 2: here we could put on the screen. We'll just look

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Speaker 2: at who the actual Republican leadership is. A lot of

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Speaker 2: people forget. You know. Number two is going to be

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Speaker 2: John Thune South Dakota. He's his establishment as it gets.

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Speaker 2: I mean, he's the guy who thought Tim Scott should

437
00:20:27,359 --> 00:20:30,600
Speaker 2: run for president. He's such a genius politician. John Barrasso

438
00:20:30,840 --> 00:20:34,439
Speaker 2: over at Wyoming is the Senate Republican Conference Chairman, Jony Ernst,

439
00:20:35,040 --> 00:20:38,720
Speaker 2: same thing, Republican Conference Committee Chairman. The Conference vice chairman

440
00:20:38,760 --> 00:20:41,760
Speaker 2: is Sharing more Capito, West Virginia. And then the NRSC

441
00:20:41,880 --> 00:20:44,680
Speaker 2: chairman is Steve Danes at Montana. These are all died

442
00:20:44,720 --> 00:20:48,040
Speaker 2: in the world, very classic Republicans. You know, I'm off

443
00:20:48,040 --> 00:20:49,399
Speaker 2: the top of my head, I can't think of a

444
00:20:49,480 --> 00:20:53,239
Speaker 2: Ukraine dissonant amongst any of those six. Now, something that

445
00:20:53,280 --> 00:20:55,359
Speaker 2: has been flagged to me though by kind of some

446
00:20:55,400 --> 00:20:58,480
Speaker 2: of the observers here in DC, is that a lot

447
00:20:58,520 --> 00:21:00,920
Speaker 2: of this does not depend on the existing sting Senate leadership

448
00:21:00,960 --> 00:21:03,320
Speaker 2: a lot of this rides on November and that map

449
00:21:03,359 --> 00:21:06,119
Speaker 2: which we have here actually up on the screen and

450
00:21:06,200 --> 00:21:08,800
Speaker 2: people can see in front of you. You've got in

451
00:21:08,840 --> 00:21:13,800
Speaker 2: front of you where the actual toss up states from Ohio, Montana,

452
00:21:13,920 --> 00:21:18,400
Speaker 2: and Arizona, where you genuinely have no idea what will

453
00:21:18,480 --> 00:21:21,479
Speaker 2: happen for the republic For the actual Senate, you know,

454
00:21:21,720 --> 00:21:25,760
Speaker 2: the Senate incumbents Democrats specifically in all three of those,

455
00:21:26,080 --> 00:21:29,159
Speaker 2: whether they will be flipped a Republican or Democrat. A

456
00:21:29,160 --> 00:21:32,120
Speaker 2: lot of that is going to ride on the general election,

457
00:21:32,359 --> 00:21:35,200
Speaker 2: on Trump and or Biden and whatever the macro kind

458
00:21:35,200 --> 00:21:37,680
Speaker 2: of determination there is. Let's say there is a Republican

459
00:21:37,720 --> 00:21:40,879
Speaker 2: sweep and you've get fifty three, I could definitely see,

460
00:21:40,960 --> 00:21:43,000
Speaker 2: you know, because in that case I think Trump would

461
00:21:43,000 --> 00:21:45,840
Speaker 2: get elected. Then I think a more MAGA aligned figure

462
00:21:45,920 --> 00:21:49,040
Speaker 2: might become the chairman of the the Senate majority leader.

463
00:21:49,359 --> 00:21:51,640
Speaker 2: In that case, let's say that all three of those

464
00:21:51,680 --> 00:21:54,919
Speaker 2: go d Trump gets defeated at the ballot box, then

465
00:21:54,960 --> 00:21:58,200
Speaker 2: there could actually be kind of a movement against more

466
00:21:58,560 --> 00:22:01,800
Speaker 2: Maga types and John Thun or Tim Scott or somebody

467
00:22:01,880 --> 00:22:04,320
Speaker 2: like that might assume the leadership. And of course in

468
00:22:04,359 --> 00:22:06,640
Speaker 2: that position they would either be the leader or depending

469
00:22:06,840 --> 00:22:08,639
Speaker 2: it could go fifty one like it is currently for

470
00:22:08,680 --> 00:22:11,119
Speaker 2: the Democrats, it would be the minority leader. Then I

471
00:22:11,119 --> 00:22:14,400
Speaker 2: would definitely see them move right back to McConnell's status,

472
00:22:14,520 --> 00:22:17,640
Speaker 2: who was most comfortable blocking things from Obama than actually

473
00:22:17,720 --> 00:22:20,560
Speaker 2: enacting legislation himself. Yeah, that's really his legacy, right.

474
00:22:20,600 --> 00:22:23,080
Speaker 1: I guess what I would say is this, First of all,

475
00:22:23,240 --> 00:22:27,639
Speaker 1: the idea that Trump is some like dissident renegade with

476
00:22:27,720 --> 00:22:31,360
Speaker 1: wildly different views than the traditional Republican conference is overstated.

477
00:22:31,760 --> 00:22:35,159
Speaker 1: And second of all, the fact that the party has

478
00:22:35,200 --> 00:22:38,479
Speaker 1: already completely capitulated to Donald Trump. So I guess the

479
00:22:38,520 --> 00:22:40,800
Speaker 1: only way it matters on the margins is, like you know,

480
00:22:40,840 --> 00:22:42,720
Speaker 1: no one's saying Mitch McConnell was a stupid man. He

481
00:22:42,800 --> 00:22:45,200
Speaker 1: was very intelligent in terms of knowing how to work

482
00:22:45,240 --> 00:22:47,720
Speaker 1: the levers of power behind the scenes. I don't know

483
00:22:47,760 --> 00:22:51,600
Speaker 1: if John Thune, John Barrasso, Doni Ernster, whoever might come

484
00:22:51,680 --> 00:22:55,800
Speaker 1: up after him, has that same level of prowess. Of course, again,

485
00:22:55,840 --> 00:22:57,960
Speaker 1: McConnell's going to be around, so they can be getting

486
00:22:57,960 --> 00:23:00,680
Speaker 1: advice for him if there are as he is where

487
00:23:00,720 --> 00:23:03,080
Speaker 1: they differ from Donald Trump and want to sort of

488
00:23:03,119 --> 00:23:06,000
Speaker 1: like undermine and undercut him. But you know, I just

489
00:23:06,080 --> 00:23:08,560
Speaker 1: I don't know if it's as consequential at this point

490
00:23:08,560 --> 00:23:12,520
Speaker 1: as you might think, because Trump already owns this Republican Party.

491
00:23:12,760 --> 00:23:14,080
Speaker 3: Whether you used to be.

492
00:23:14,200 --> 00:23:16,080
Speaker 1: You know, whether you're part of the establishment or not

493
00:23:16,160 --> 00:23:19,360
Speaker 1: part of the establishment or whatever, has more to do

494
00:23:19,480 --> 00:23:22,840
Speaker 1: with kind of like your attitude and your vibe than

495
00:23:22,880 --> 00:23:25,800
Speaker 1: it does real policy positions, as we've seen a million times,

496
00:23:25,840 --> 00:23:27,480
Speaker 1: you know, and you think about like a Jim Jordan

497
00:23:27,840 --> 00:23:30,879
Speaker 1: being coded as Mago and he has the most standard

498
00:23:30,920 --> 00:23:35,159
Speaker 1: issue Tea Party conservative Republican views of all time. So

499
00:23:35,200 --> 00:23:38,560
Speaker 1: it becomes more about vibe and attitude. And then you know,

500
00:23:38,920 --> 00:23:41,960
Speaker 1: they've already decided that there's no way they can go

501
00:23:42,040 --> 00:23:44,679
Speaker 1: up against Donald Trump on anything that he actually is

502
00:23:44,680 --> 00:23:46,359
Speaker 1: going to care about and actually.

503
00:23:46,040 --> 00:23:46,960
Speaker 3: Like try to fight for.

504
00:23:47,119 --> 00:23:49,400
Speaker 1: So I'm not sure in terms of what the next

505
00:23:49,440 --> 00:23:51,840
Speaker 1: term looks like, if Trump ends up being present, that

506
00:23:51,920 --> 00:23:53,200
Speaker 1: it's going to matter all that much.

507
00:23:53,280 --> 00:23:55,200
Speaker 2: I do think Ukraine is the one where, Look, I

508
00:23:55,200 --> 00:23:56,920
Speaker 2: don't know what Trump thinks about Ukraine. I don't think

509
00:23:56,920 --> 00:23:58,960
Speaker 2: he knows what he thinks about Ukraine. Yeah, depending on

510
00:23:58,960 --> 00:24:02,560
Speaker 2: the day, that's McConnell had had such a deep ideological

511
00:24:02,600 --> 00:24:05,520
Speaker 2: commitment at many points, being the only member of his

512
00:24:05,640 --> 00:24:08,679
Speaker 2: caucus willing to try and to go past, you know what,

513
00:24:09,280 --> 00:24:11,760
Speaker 2: willing to try and work with the Democrats that going

514
00:24:11,760 --> 00:24:14,400
Speaker 2: away is actually genuinely impactful, where you've even had John

515
00:24:14,440 --> 00:24:16,480
Speaker 2: Thune and all of them. Now again, I don't know

516
00:24:16,480 --> 00:24:18,960
Speaker 2: how it moves on the margins. Really, A lot of

517
00:24:18,960 --> 00:24:21,159
Speaker 2: this depends on what the hell happens in November. A

518
00:24:21,240 --> 00:24:22,960
Speaker 2: lot of it depends on, you know, what it looks

519
00:24:23,040 --> 00:24:25,679
Speaker 2: like at that point. But there is an ideology, you know,

520
00:24:25,800 --> 00:24:28,960
Speaker 2: on McConnell's part where I think the people who are

521
00:24:28,960 --> 00:24:32,440
Speaker 2: coming up after him again depending on what actually happens

522
00:24:32,600 --> 00:24:34,600
Speaker 2: with the election, where we could see some change, but

523
00:24:34,640 --> 00:24:36,800
Speaker 2: don't overstate it either, you're right, which is, you know,

524
00:24:36,800 --> 00:24:39,400
Speaker 2: some people think there's going to be some grand revolution. Yeah,

525
00:24:39,400 --> 00:24:41,240
Speaker 2: I don't think so. The only thing I think might

526
00:24:41,320 --> 00:24:43,840
Speaker 2: change a little bit is immigration. That's the one where too,

527
00:24:44,200 --> 00:24:47,399
Speaker 2: where McConnell is not as ideological on that issue is

528
00:24:47,440 --> 00:24:48,960
Speaker 2: more of a gett along. He doesn't have you know,

529
00:24:49,080 --> 00:24:50,760
Speaker 2: very strong views, if anything, is more of a big

530
00:24:50,760 --> 00:24:53,280
Speaker 2: business type where if you had somebody's more hardline immigration.

531
00:24:53,320 --> 00:24:54,760
Speaker 2: I think things could change a little bit, but I'm

532
00:24:54,760 --> 00:24:55,080
Speaker 2: not sure.

533
00:24:55,200 --> 00:24:57,200
Speaker 1: I mean maybe, but I think most of the action

534
00:24:57,359 --> 00:24:59,480
Speaker 1: on these things is going to be through the executive

535
00:24:59,640 --> 00:25:01,959
Speaker 1: branch anyway. I mean, I don't because you're still going

536
00:25:02,000 --> 00:25:04,040
Speaker 1: to have a filibuster, You're still going to have, you know,

537
00:25:04,119 --> 00:25:06,560
Speaker 1: opposition in the Senate, even if they're able to narrowly

538
00:25:06,600 --> 00:25:09,400
Speaker 1: take in the majority. So I think, you know, looking

539
00:25:09,480 --> 00:25:11,840
Speaker 1: at Project twenty five and these other efforts to like

540
00:25:12,040 --> 00:25:15,159
Speaker 1: really figure out the limits and bounds of their power

541
00:25:15,240 --> 00:25:17,840
Speaker 1: what they can do through the executive branch without having

542
00:25:17,920 --> 00:25:20,080
Speaker 1: to go through the House or the Senate is probably

543
00:25:20,119 --> 00:25:22,679
Speaker 1: war weary focus in terms of what's actually you have.

544
00:25:22,920 --> 00:25:25,400
Speaker 1: Just one last quick note, throw the Senate map back

545
00:25:25,520 --> 00:25:27,600
Speaker 1: up there, because I just want to make clear for

546
00:25:27,680 --> 00:25:32,240
Speaker 1: people that you know, it's very very close a five Please,

547
00:25:33,280 --> 00:25:35,119
Speaker 1: what's going to have Who's going to have control of

548
00:25:35,160 --> 00:25:38,439
Speaker 1: the Senate next time around? Basically it comes down to

549
00:25:38,560 --> 00:25:41,000
Speaker 1: these three toss up states.

550
00:25:41,520 --> 00:25:42,200
Speaker 3: In order for.

551
00:25:42,200 --> 00:25:44,720
Speaker 1: Democrats to keep the majority, they'd have to win the

552
00:25:44,720 --> 00:25:47,399
Speaker 1: White House and they have to hold on to these

553
00:25:47,600 --> 00:25:51,719
Speaker 1: toss up states Arizona, Montana, Ohio. Now, look at that,

554
00:25:52,240 --> 00:25:55,399
Speaker 1: it's not a great map, because first of all, Ohio

555
00:25:55,480 --> 00:25:58,439
Speaker 1: and Montana are red states at this point, and so

556
00:25:58,800 --> 00:26:03,560
Speaker 1: that is very difficult terrain. However, for whatever reason, they

557
00:26:03,560 --> 00:26:05,760
Speaker 1: seem to really love John Tester up there in Montana.

558
00:26:05,840 --> 00:26:06,880
Speaker 3: He's got like a ten.

559
00:26:06,720 --> 00:26:09,920
Speaker 1: Point lead in consistently in the polls that are coming

560
00:26:09,920 --> 00:26:12,720
Speaker 1: out now. Who knows, it's a long time to election day,

561
00:26:12,760 --> 00:26:15,160
Speaker 1: polls can be off blah blah blah, but he seems

562
00:26:15,200 --> 00:26:17,920
Speaker 1: to be holding pretty strong there. The shared Brown race

563
00:26:18,040 --> 00:26:20,960
Speaker 1: in Ohio is very very close. The polling has it,

564
00:26:21,160 --> 00:26:23,480
Speaker 1: you know, effectively tie. I think Brown usually has like

565
00:26:23,520 --> 00:26:27,240
Speaker 1: a two point margin over his opponent who I think

566
00:26:27,280 --> 00:26:29,200
Speaker 1: the Republican primary is still ongoing, so I'm not sure

567
00:26:29,200 --> 00:26:31,520
Speaker 1: who he's going up against, but that one appears like

568
00:26:31,560 --> 00:26:35,639
Speaker 1: it'll be very very close. And Arizona also appears like

569
00:26:35,720 --> 00:26:38,840
Speaker 1: it will be really close. Arizona of course swing state

570
00:26:38,920 --> 00:26:41,320
Speaker 1: at this point. So you know, you're looking at a

571
00:26:41,400 --> 00:26:44,040
Speaker 1: landscape where you'd really kind of need everything to fall

572
00:26:44,080 --> 00:26:46,520
Speaker 1: in Democrats direction in order for them to hold onto

573
00:26:46,520 --> 00:26:46,879
Speaker 1: the Senate.

574
00:26:46,920 --> 00:26:48,399
Speaker 3: But I mean, they have a shot at doing it.

575
00:26:48,400 --> 00:26:50,560
Speaker 1: It's not like it's preposterous to imagine that they could

576
00:26:50,560 --> 00:26:51,159
Speaker 1: hold onto it.

577
00:26:51,440 --> 00:26:53,720
Speaker 2: In November twenty twenty, I'm sitting at a desk and

578
00:26:53,760 --> 00:26:56,200
Speaker 2: telling you that they're gonna be two Democratic senators from Georgia.

579
00:26:56,359 --> 00:26:58,359
Speaker 2: Like what do we think we've really Oh.

580
00:26:58,280 --> 00:27:00,719
Speaker 1: We were here, we were like, no way, it's not

581
00:27:00,760 --> 00:27:02,399
Speaker 1: going to happen.

582
00:27:02,960 --> 00:27:05,200
Speaker 2: Anything can happen. Yeah, I really have no idea. I

583
00:27:05,240 --> 00:27:08,040
Speaker 2: think we have the mayor on standby. Let's get to it.

584
00:27:10,119 --> 00:27:13,280
Speaker 1: So, as Ryan and Emily covered very able, I should say,

585
00:27:13,440 --> 00:27:19,760
Speaker 1: yesterday those Michigan results for uncommitted, that protests vote very interesting,

586
00:27:20,000 --> 00:27:22,840
Speaker 1: the protest vote dramatically outperforming. Can put this up on

587
00:27:22,880 --> 00:27:27,439
Speaker 1: the screen. So one hundred thousand Michigan Democrats went to

588
00:27:27,520 --> 00:27:32,680
Speaker 1: the polls specifically to protest Joe Biden's policy visa the

589
00:27:32,880 --> 00:27:36,919
Speaker 1: Israel and their assault on the Gaza Strip. One of

590
00:27:36,960 --> 00:27:41,280
Speaker 1: the local elected officials who backed this effort is the

591
00:27:41,359 --> 00:27:44,520
Speaker 1: mayor of Dearborn, Abdullahamud, and actually residents of.

592
00:27:44,440 --> 00:27:47,520
Speaker 3: Dearborn, majority of them voted.

593
00:27:47,200 --> 00:27:51,399
Speaker 1: For uncommitted over Joe Biden, and Mayor Hamud joins us.

594
00:27:51,440 --> 00:27:54,360
Speaker 3: Now, great to Seezar, good Caesar having.

595
00:27:55,040 --> 00:27:57,320
Speaker 1: Of course, so just give us your first reaction to

596
00:27:57,560 --> 00:27:59,960
Speaker 1: this outperformance of uncommitted.

597
00:28:01,520 --> 00:28:04,400
Speaker 6: I think as signals, you know, for me as signals,

598
00:28:04,440 --> 00:28:06,960
Speaker 6: it's a sign of hope, the hope that the issue

599
00:28:07,040 --> 00:28:09,320
Speaker 6: of has that the issue of Palestine is not an

600
00:28:09,320 --> 00:28:12,520
Speaker 6: issue that only impacts Arabs or Muslims, but it impacts

601
00:28:12,560 --> 00:28:14,560
Speaker 6: Michiganders and Americans from coast to coast.

602
00:28:14,560 --> 00:28:16,160
Speaker 2: When you have one hundred thousand.

603
00:28:15,840 --> 00:28:18,880
Speaker 6: Democrats coming out to the ballot box and casting their vote,

604
00:28:19,040 --> 00:28:21,480
Speaker 6: casting the vote for a pro peace future or pro

605
00:28:21,520 --> 00:28:24,679
Speaker 6: democracy future, for pro justice future, and that's the message

606
00:28:24,680 --> 00:28:25,600
Speaker 6: that we were trying to send.

607
00:28:26,160 --> 00:28:28,919
Speaker 2: So, mister Mayor, I have seen some attempts by the

608
00:28:28,920 --> 00:28:32,080
Speaker 2: Democratic establishment to say, hey, this is a normal ish

609
00:28:32,240 --> 00:28:34,840
Speaker 2: you know, amount of the percent vote that votes uncommitted.

610
00:28:34,920 --> 00:28:37,959
Speaker 2: This isn't necessarily going to be a problem for Joe Biden,

611
00:28:38,040 --> 00:28:41,200
Speaker 2: regardless of whether he changes course in Israel, because you

612
00:28:41,200 --> 00:28:43,920
Speaker 2: were on the ground and the uncommitted vote, I believe

613
00:28:43,960 --> 00:28:47,120
Speaker 2: has now got two delegates behind you. What's your response

614
00:28:47,200 --> 00:28:47,680
Speaker 2: to some of that?

615
00:28:48,800 --> 00:28:51,880
Speaker 6: You know, this is five times the number of votes

616
00:28:51,880 --> 00:28:54,120
Speaker 6: that have been casted for uncommitted in the last thity

617
00:28:54,120 --> 00:28:57,400
Speaker 6: presidential primaries. You know, on average, typically uncommitted we get

618
00:28:57,400 --> 00:29:00,480
Speaker 6: about twenty thousand votes. This is one hundred thousand votes

619
00:29:00,520 --> 00:29:03,240
Speaker 6: and ten times what we expected. Our goal was ten

620
00:29:03,280 --> 00:29:07,160
Speaker 6: thousand votes and we actually ultimately received one hundred thousand votes.

621
00:29:07,240 --> 00:29:08,000
Speaker 2: You know, what I would say to.

622
00:29:08,040 --> 00:29:11,080
Speaker 6: All the pundance is you can take the calculated risk.

623
00:29:11,600 --> 00:29:13,800
Speaker 6: You can dismiss the one hundred thousand people who came

624
00:29:13,840 --> 00:29:16,680
Speaker 6: out and cast their ballot and wanting a president who

625
00:29:16,680 --> 00:29:19,080
Speaker 6: does not back a genocide. But that is a risk

626
00:29:19,320 --> 00:29:21,360
Speaker 6: that they will take, and the risk that you know,

627
00:29:21,400 --> 00:29:24,320
Speaker 6: and the outcome would be the unraveling of American democracy.

628
00:29:24,680 --> 00:29:26,760
Speaker 6: And so for me, my message would be to President

629
00:29:26,840 --> 00:29:30,640
Speaker 6: Biden to heed the concerns of Michiganders, to distance yourself

630
00:29:30,880 --> 00:29:35,080
Speaker 6: from Benjamin Benjamintan Yahoo, the war criminal, and the tyrannical

631
00:29:35,120 --> 00:29:38,760
Speaker 6: Israeli government and that's currently in place, and choose your

632
00:29:38,800 --> 00:29:43,240
Speaker 6: American constituents who are asking you to withdraw that support,

633
00:29:43,440 --> 00:29:46,160
Speaker 6: to stop backing a genocide, call for permanent cease fire,

634
00:29:46,400 --> 00:29:47,760
Speaker 6: and restrict that military aid.

635
00:29:48,000 --> 00:29:50,800
Speaker 1: One thing I found really noteworthy, Mayor, and really important

636
00:29:50,840 --> 00:29:53,320
Speaker 1: and should be concerning at least for the Biden team

637
00:29:53,600 --> 00:29:57,040
Speaker 1: is that yes, in Dearborn, which is a majority of

638
00:29:57,080 --> 00:30:01,120
Speaker 1: Arab American city, the vote for Uncommitted was overwhelming, but

639
00:30:01,440 --> 00:30:06,160
Speaker 1: you had pretty significant support for uncommitted across all of Michigan. Yes,

640
00:30:06,200 --> 00:30:08,560
Speaker 1: the college towns were the next, but there were a

641
00:30:08,600 --> 00:30:12,239
Speaker 1: lot of rural areas where Uncommitted was getting more than

642
00:30:12,280 --> 00:30:15,320
Speaker 1: ten percent of the vote. You had a vast range

643
00:30:15,360 --> 00:30:19,560
Speaker 1: of demographics that wanted to lodge this protest vote. And

644
00:30:19,720 --> 00:30:22,240
Speaker 1: I think it's almost like a sort of racist assumption

645
00:30:22,560 --> 00:30:26,400
Speaker 1: that only Arab Americans or only Muslim Americans would care

646
00:30:26,520 --> 00:30:29,920
Speaker 1: about a genocide being perpetrated in our names with our

647
00:30:29,960 --> 00:30:32,040
Speaker 1: tax dollars in Gaza. So I wonder if you could

648
00:30:32,080 --> 00:30:34,640
Speaker 1: react to that particular part of the analysis.

649
00:30:35,520 --> 00:30:38,720
Speaker 6: I believe over seventy of the eighty three counties across

650
00:30:38,760 --> 00:30:41,560
Speaker 6: Michigan had over ten percent cash their vote for Uncommitted,

651
00:30:41,920 --> 00:30:44,000
Speaker 6: which really sends the message that this is not just

652
00:30:44,040 --> 00:30:47,520
Speaker 6: an Arab or a Muslim issue. I think again, we

653
00:30:47,600 --> 00:30:51,880
Speaker 6: built a multiracial, multi ethnic, multi faith, multi generational coalition,

654
00:30:52,240 --> 00:30:54,520
Speaker 6: and I think that's what was demonstrated at the ballot box,

655
00:30:54,720 --> 00:30:56,680
Speaker 6: that there are one hundred thousand people who believe in

656
00:30:56,680 --> 00:30:59,440
Speaker 6: a simple value statement that no innocent man, woman, or

657
00:30:59,520 --> 00:31:03,000
Speaker 6: child should be killed, let alone should be killed utilizing

658
00:31:03,120 --> 00:31:05,440
Speaker 6: US tax payer dollars. And I think that's the message

659
00:31:05,480 --> 00:31:06,320
Speaker 6: that we're trying to send.

660
00:31:07,320 --> 00:31:10,320
Speaker 1: Do you have a sense of where this movement goes

661
00:31:10,360 --> 00:31:14,640
Speaker 1: from here? Have organizers or local electeds in other states,

662
00:31:14,720 --> 00:31:17,320
Speaker 1: especially ones who have matches coming up here on Super

663
00:31:17,320 --> 00:31:19,120
Speaker 1: Tuesday next week, have they reached out to you?

664
00:31:20,400 --> 00:31:22,320
Speaker 6: So they have reached out to the organizer of the

665
00:31:22,400 --> 00:31:24,720
Speaker 6: Listening to Michigan campaign. I know the state of Washington

666
00:31:24,720 --> 00:31:26,920
Speaker 6: and the state of Minnesota are trying to follow suit.

667
00:31:27,200 --> 00:31:28,560
Speaker 2: There's only a handful of states.

668
00:31:28,560 --> 00:31:31,600
Speaker 6: They actually permissed the uncommitted box on the presidential primary,

669
00:31:31,800 --> 00:31:35,680
Speaker 6: and so other organizers and other states are looking at alternatives.

670
00:31:35,680 --> 00:31:37,640
Speaker 6: What does that write in campaign look like? You know,

671
00:31:37,640 --> 00:31:39,560
Speaker 6: we saw New Hampshire actually try to lead the way

672
00:31:39,600 --> 00:31:42,840
Speaker 6: early on with a write and ceasefire initiative, which a

673
00:31:42,840 --> 00:31:45,440
Speaker 6: little bit more difficult because some Secretaries of state don't

674
00:31:45,440 --> 00:31:48,440
Speaker 6: actually count what was actually written in as opposed to

675
00:31:48,480 --> 00:31:50,840
Speaker 6: just summing the total writings, and so each state is

676
00:31:50,880 --> 00:31:52,720
Speaker 6: looking at their own unique way of how they can

677
00:31:52,800 --> 00:31:55,120
Speaker 6: organize on the ground and make sure that their voices

678
00:31:55,160 --> 00:31:56,600
Speaker 6: are also heard in a similar passion.

679
00:31:57,360 --> 00:31:59,760
Speaker 2: So, mister Mayer, one of the other major questions here

680
00:32:00,000 --> 00:32:02,400
Speaker 2: we saw on an MSNBC focus group, for example, where

681
00:32:02,400 --> 00:32:04,800
Speaker 2: you had some voters who are like, no, there's nothing

682
00:32:04,840 --> 00:32:07,480
Speaker 2: he could do now at this point, President Biden to

683
00:32:07,480 --> 00:32:10,400
Speaker 2: get my vote back. So I know that's not your position,

684
00:32:10,440 --> 00:32:14,120
Speaker 2: but I'm curious, then, amongst your constituents, what where and

685
00:32:14,160 --> 00:32:17,440
Speaker 2: how high is the bar for going from uncommitted to

686
00:32:17,520 --> 00:32:20,400
Speaker 2: coming out in November affirmatively to vote for Joe Biden

687
00:32:20,440 --> 00:32:21,680
Speaker 2: president of the United States.

688
00:32:22,480 --> 00:32:24,800
Speaker 6: You know, I think that's going to differ with depending

689
00:32:24,800 --> 00:32:26,680
Speaker 6: on each voter that you speak to, you know, for

690
00:32:26,720 --> 00:32:28,680
Speaker 6: the residents who I have, you know, for the many

691
00:32:28,760 --> 00:32:30,800
Speaker 6: residents who I have who have lost loved ones, some

692
00:32:30,840 --> 00:32:33,280
Speaker 6: who have lost a dozen loved ones in Avessa, some

693
00:32:33,360 --> 00:32:35,080
Speaker 6: who have lost over eighty loved.

694
00:32:34,880 --> 00:32:35,760
Speaker 2: Ones in Avessa.

695
00:32:35,880 --> 00:32:38,200
Speaker 6: I don't think the concern for them is how they're

696
00:32:38,200 --> 00:32:39,760
Speaker 6: going to come out and vote in November. I think

697
00:32:39,800 --> 00:32:42,680
Speaker 6: some of those votes are lost and it's expected. You know,

698
00:32:42,720 --> 00:32:44,920
Speaker 6: you can't have eighty of your fave members be killed

699
00:32:44,920 --> 00:32:47,800
Speaker 6: and a president be silent, not even have the audacity

700
00:32:47,840 --> 00:32:50,480
Speaker 6: to call for permanent ceasefire. And yet there's still to

701
00:32:50,520 --> 00:32:51,640
Speaker 6: believe that you should be coming out.

702
00:32:51,520 --> 00:32:52,640
Speaker 2: A voting for them in November.

703
00:32:52,760 --> 00:32:56,240
Speaker 6: Then there's another portion of my constituency who are looking

704
00:32:56,280 --> 00:32:59,360
Speaker 6: for a permanent ceasefire to be called and hopefully to

705
00:32:59,400 --> 00:32:59,840
Speaker 6: be reached.

706
00:33:00,520 --> 00:33:02,920
Speaker 2: But that just opens up the door for further conversation.

707
00:33:03,520 --> 00:33:05,040
Speaker 2: You know, I do not speak to a lot of

708
00:33:05,040 --> 00:33:06,040
Speaker 2: my constituents who.

709
00:33:06,000 --> 00:33:08,160
Speaker 6: Want to see a Trump re elected as president. We

710
00:33:08,240 --> 00:33:11,120
Speaker 6: understand what Trump stands for, we understand the rhetoric that

711
00:33:11,160 --> 00:33:14,240
Speaker 6: he provides. But at the same time, although we've recognized

712
00:33:14,240 --> 00:33:18,080
Speaker 6: a shift in tone, a recognition of Palestinian loss of

713
00:33:18,160 --> 00:33:20,920
Speaker 6: life by our president, we have not seen a symmetry

714
00:33:20,960 --> 00:33:23,320
Speaker 6: and his actions. And that's what the residents really want

715
00:33:23,320 --> 00:33:25,720
Speaker 6: to see. What actions will he demonstrate, And we don't

716
00:33:25,760 --> 00:33:29,160
Speaker 6: have between now and November. Nobody's waiting until October to

717
00:33:29,160 --> 00:33:31,239
Speaker 6: see what the president does. What we're hoping is that

718
00:33:31,280 --> 00:33:33,160
Speaker 6: we sent a clear message at the ballot box just

719
00:33:33,200 --> 00:33:35,480
Speaker 6: this week and that the actions should have been starting

720
00:33:35,480 --> 00:33:36,160
Speaker 6: four months ago.

721
00:33:36,960 --> 00:33:39,840
Speaker 1: Have you heard from the White House or from anyone

722
00:33:39,880 --> 00:33:43,440
Speaker 1: affiliated with the Biden campaign post Tuesday and do you

723
00:33:43,560 --> 00:33:46,800
Speaker 1: think that they did hear that message and may change

724
00:33:46,880 --> 00:33:49,320
Speaker 1: policy based on the uncommitted vote.

725
00:33:50,920 --> 00:33:53,440
Speaker 6: At this point in time, I have not heard from anybody,

726
00:33:53,760 --> 00:33:56,760
Speaker 6: but what from my understanding based on the network and

727
00:33:56,800 --> 00:33:59,400
Speaker 6: the relationships that we have is that it was a

728
00:33:59,440 --> 00:34:02,800
Speaker 6: resounding victory that was heard across all the halls of

729
00:34:02,840 --> 00:34:06,160
Speaker 6: the White House, and you know, again at this point

730
00:34:06,280 --> 00:34:07,480
Speaker 6: the balls in their court.

731
00:34:07,720 --> 00:34:10,200
Speaker 2: We did what we should do.

732
00:34:10,320 --> 00:34:13,560
Speaker 6: We utilized our primary vote in the process that we

733
00:34:13,600 --> 00:34:15,840
Speaker 6: have here in the Michigan to send a clear message

734
00:34:15,920 --> 00:34:17,799
Speaker 6: that we will not back a president back to the

735
00:34:17,840 --> 00:34:20,880
Speaker 6: genocide and that we want a president who respects and

736
00:34:20,920 --> 00:34:22,400
Speaker 6: dignifies Palacitan lives.

737
00:34:22,960 --> 00:34:25,120
Speaker 1: Mayor, so grateful for your time. I know you've got

738
00:34:25,160 --> 00:34:27,319
Speaker 1: a lot going on, so thank you so much for

739
00:34:27,480 --> 00:34:29,600
Speaker 1: taking the time to explain all of this to our

740
00:34:29,640 --> 00:34:30,359
Speaker 1: audience this morning.

741
00:34:30,360 --> 00:34:32,520
Speaker 2: Thanks for coming back, sir, of course, thank you so

742
00:34:32,560 --> 00:34:33,359
Speaker 2: much for having me again.

743
00:34:33,480 --> 00:34:34,200
Speaker 3: It's our pleasure.

744
00:34:34,320 --> 00:34:36,680
Speaker 1: So as we were just discussing with the mayor, Uncommitted

745
00:34:36,840 --> 00:34:40,640
Speaker 1: really outperforming expectations, sending a message to the Biden White

746
00:34:40,640 --> 00:34:44,160
Speaker 1: House about their unconditional support for Israel, and we have

747
00:34:44,200 --> 00:34:46,480
Speaker 1: some pretty important updates here, so put this up on

748
00:34:46,520 --> 00:34:50,560
Speaker 1: the screen. Looks like Uncommitted has actually won a couple

749
00:34:50,600 --> 00:34:54,680
Speaker 1: of delegates to the Democratic Convention. They would be sort

750
00:34:54,719 --> 00:34:58,000
Speaker 1: of unobligated, not obligated to any particular candidate, but you know,

751
00:34:58,200 --> 00:35:03,360
Speaker 1: especially if the uncommit movement continues forward and continues to

752
00:35:03,400 --> 00:35:07,640
Speaker 1: potentially grow, you could have some number in addition to

753
00:35:07,680 --> 00:35:11,279
Speaker 1: these two of additional delegates going to the Democratic National

754
00:35:11,680 --> 00:35:14,560
Speaker 1: Convention who have been sent there from a group of

755
00:35:14,600 --> 00:35:18,280
Speaker 1: Democratic base voters who are disgusted with the Biden policy

756
00:35:18,400 --> 00:35:21,200
Speaker 1: visa the Israel. So this could end up being significant.

757
00:35:21,200 --> 00:35:24,960
Speaker 1: It's certainly a huge win for this movement which just

758
00:35:25,000 --> 00:35:28,879
Speaker 1: started a few weeks ago, shoestring budget, everything going against them,

759
00:35:28,920 --> 00:35:31,200
Speaker 1: and yet was able to get over one hundred thousand

760
00:35:31,239 --> 00:35:35,160
Speaker 1: michigan Ers Michigan Democrats to come out and vote explicitly

761
00:35:35,200 --> 00:35:36,520
Speaker 1: against this presidence policy.

762
00:35:37,080 --> 00:35:37,400
Speaker 3: Saber.

763
00:35:37,440 --> 00:35:40,120
Speaker 1: One thing that's noteworthy that they talk about in that report.

764
00:35:40,520 --> 00:35:43,919
Speaker 1: Super Tuesday is coming up next week on Tuesday, and

765
00:35:44,160 --> 00:35:48,120
Speaker 1: eight of the states that are voting on Super Tuesday

766
00:35:48,320 --> 00:35:51,840
Speaker 1: have something akin to Uncommitted. A lot of the attention,

767
00:35:51,880 --> 00:35:54,279
Speaker 1: as I'll discuss in a little bit, is going to Minnesota,

768
00:35:54,840 --> 00:35:57,560
Speaker 1: both because it is also a swing state and also

769
00:35:57,600 --> 00:36:00,600
Speaker 1: because it has a significant Muslim popular But as the

770
00:36:00,600 --> 00:36:03,719
Speaker 1: mayor was just explaining, I mean, yes, the support for

771
00:36:03,800 --> 00:36:07,360
Speaker 1: Uncommitted was highest among Arab Americans in Michigan, highest among

772
00:36:07,520 --> 00:36:11,000
Speaker 1: Muslim Americans, but really cut across a lot of different

773
00:36:11,000 --> 00:36:13,960
Speaker 1: demographic groups. So I don't even think you need, you know,

774
00:36:14,000 --> 00:36:17,960
Speaker 1: the specific demographics that you had in Michigan for uncommitted

775
00:36:18,120 --> 00:36:20,719
Speaker 1: or it's equivalent to have a significant impact in these

776
00:36:20,760 --> 00:36:21,160
Speaker 1: other states.

777
00:36:21,200 --> 00:36:22,680
Speaker 2: A couple places I'm really going to look out for

778
00:36:23,080 --> 00:36:24,880
Speaker 2: in terms of the ballot. Like you said, there are

779
00:36:24,920 --> 00:36:28,080
Speaker 2: several states, but I really want to see his performance

780
00:36:28,120 --> 00:36:30,680
Speaker 2: in some of the more critical places where you could

781
00:36:30,680 --> 00:36:35,840
Speaker 2: see signs of popular vote, like California or Colorado, where

782
00:36:35,880 --> 00:36:38,719
Speaker 2: you you know, you traditionally will have Democrats that come

783
00:36:38,760 --> 00:36:41,279
Speaker 2: out in force and it drives up the overall popular vote.

784
00:36:41,280 --> 00:36:44,200
Speaker 2: It's very it's a good view sometimes in the primary

785
00:36:44,239 --> 00:36:47,759
Speaker 2: of overall enthusiasm. Same thing. At the same time, you know,

786
00:36:47,800 --> 00:36:49,280
Speaker 2: you want to look in some of the red states

787
00:36:49,320 --> 00:36:51,520
Speaker 2: not only at the Republican Party, but in terms of

788
00:36:51,600 --> 00:36:54,600
Speaker 2: democratic overperformance there in terms of what that might look like.

789
00:36:54,920 --> 00:36:56,880
Speaker 2: In the same thing, it's always a sign of like

790
00:36:56,920 --> 00:37:01,920
Speaker 2: how enthusiastic everybody really is, like Texas, Oklahoma, Tennessee and

791
00:37:01,960 --> 00:37:04,799
Speaker 2: some of these places so uncommitted, but overall the number two,

792
00:37:04,880 --> 00:37:06,799
Speaker 2: like how much of Biden is able going to rarely

793
00:37:06,880 --> 00:37:10,040
Speaker 2: run the table. Are any of these third party candidates

794
00:37:10,640 --> 00:37:14,080
Speaker 2: on others uncommitted? Some of his primary challenges Dean Phillips,

795
00:37:14,120 --> 00:37:16,040
Speaker 2: Mary and Williams and no believe is now back in

796
00:37:16,080 --> 00:37:18,080
Speaker 2: the race, Like, well, how's that going to fare as well?

797
00:37:18,120 --> 00:37:20,120
Speaker 2: So I don't think we're going to see as strong

798
00:37:20,120 --> 00:37:21,000
Speaker 2: as Biden as a lot of.

799
00:37:20,960 --> 00:37:22,920
Speaker 1: People are thinking, Yeah, No, I think there's a lot

800
00:37:22,960 --> 00:37:26,200
Speaker 1: too that. It was interesting me in that article about

801
00:37:26,440 --> 00:37:28,359
Speaker 1: how they got the couple of delegates and talking about

802
00:37:28,360 --> 00:37:31,160
Speaker 1: what happens going forward. You got a quote from Minnesota

803
00:37:31,200 --> 00:37:34,120
Speaker 1: Governor Tim Wallas, who's a Democrat. He said he expected

804
00:37:34,120 --> 00:37:37,479
Speaker 1: a measure of minnesota Somali population, the largest in the country,

805
00:37:37,560 --> 00:37:40,960
Speaker 1: to vote uncommitted in his state's Democratic primary on Super Tuesday.

806
00:37:41,000 --> 00:37:44,800
Speaker 1: More than eighty six thousand Somalis live in Minnesota. Walls,

807
00:37:44,800 --> 00:37:47,360
Speaker 1: of course, as a major supporter of Biden's re election campaign.

808
00:37:47,400 --> 00:37:51,359
Speaker 1: He said Michigan's uncommitted results were a healthy demonstration of democracy,

809
00:37:51,640 --> 00:37:55,080
Speaker 1: and that sort of echoes the line that Biden took,

810
00:37:55,400 --> 00:37:58,839
Speaker 1: the line that Gretchen Whitmer took. The politicians are very

811
00:37:58,920 --> 00:38:00,839
Speaker 1: much trying to say they don't want to piss these

812
00:38:00,880 --> 00:38:03,440
Speaker 1: people off, even more than they're already pissed off, so

813
00:38:03,480 --> 00:38:07,600
Speaker 1: they're like, this is just great democracy, thanks for coming out. However,

814
00:38:08,239 --> 00:38:11,080
Speaker 1: over on the cable news networks, their apparatics were a

815
00:38:11,120 --> 00:38:15,239
Speaker 1: little more aggressive in dismissing this vote, trying to undercut it,

816
00:38:15,280 --> 00:38:19,600
Speaker 1: and basically coping in whatever ways they possibly could. Case

817
00:38:19,640 --> 00:38:23,480
Speaker 1: in point, you had Claire mccaskell, former senator and now

818
00:38:23,520 --> 00:38:27,440
Speaker 1: just all around democratic hack and corrupt former official. She

819
00:38:27,600 --> 00:38:29,880
Speaker 1: came out to say, you know what, those uncommitted areas

820
00:38:30,040 --> 00:38:32,160
Speaker 1: and I never really liked Joe Biden anyway, so this

821
00:38:32,280 --> 00:38:34,880
Speaker 1: really is no big deal. Let's listen to her cope

822
00:38:34,880 --> 00:38:35,600
Speaker 1: on election night.

823
00:38:35,719 --> 00:38:38,319
Speaker 4: But also, Chris, we have to remember, I mean, let's

824
00:38:38,320 --> 00:38:40,600
Speaker 4: look at the ann Arbor numbers. Joe Biden didn't win

825
00:38:40,680 --> 00:38:45,799
Speaker 4: ann Arbor Bernie Sanders one. So some of these areas

826
00:38:45,800 --> 00:38:50,000
Speaker 4: have never been Biden country. They have been really many

827
00:38:50,040 --> 00:38:52,480
Speaker 4: more people that were further left.

828
00:38:52,200 --> 00:38:53,879
Speaker 2: And didn't like the idea.

829
00:38:53,560 --> 00:38:56,000
Speaker 4: Of a moderate carrying the flag of our party.

830
00:38:56,360 --> 00:38:57,799
Speaker 3: If you're the if.

831
00:38:57,719 --> 00:39:01,480
Speaker 7: You're the Democratic, if you're the elites the Democratic Party,

832
00:39:01,480 --> 00:39:04,759
Speaker 7: if you're the Biden White House, how concerned are you

833
00:39:05,000 --> 00:39:08,840
Speaker 7: really about this faction of uncommitted voters staying home in November.

834
00:39:09,440 --> 00:39:12,359
Speaker 4: Well, I think there's a danger on both sides here

835
00:39:12,520 --> 00:39:14,640
Speaker 4: that people are going to stay home. I think you've

836
00:39:14,640 --> 00:39:18,880
Speaker 4: got traditional Republicans that no way they will vote for

837
00:39:19,000 --> 00:39:21,440
Speaker 4: Joe Biden, in no way they will vote for Donald Trump.

838
00:39:21,719 --> 00:39:23,279
Speaker 4: So there's going to be some people that are going

839
00:39:23,320 --> 00:39:24,960
Speaker 4: to hold their nose and vote, and then there's going

840
00:39:25,000 --> 00:39:27,560
Speaker 4: to be people that just stay home. The question is

841
00:39:28,080 --> 00:39:30,920
Speaker 4: will the Biden campaign be able? And by the way,

842
00:39:30,920 --> 00:39:34,080
Speaker 4: there are no elites in our party? Yes, sorry, no elites.

843
00:39:34,880 --> 00:39:35,800
Speaker 2: I know you didn't mean that.

844
00:39:37,080 --> 00:39:40,239
Speaker 4: But the question is can Biden draw the kind of

845
00:39:40,239 --> 00:39:44,680
Speaker 4: contrast around some issues like guns and abortion and frankly

846
00:39:45,000 --> 00:39:48,880
Speaker 4: autocracy and what what Trump.

847
00:39:48,719 --> 00:39:49,640
Speaker 3: Is saying he's going to do.

848
00:39:50,200 --> 00:39:52,920
Speaker 4: He's going to tear up every day one dictator on

849
00:39:53,000 --> 00:39:53,359
Speaker 4: day one.

850
00:39:53,640 --> 00:39:55,239
Speaker 3: You got a lot going on there.

851
00:39:55,280 --> 00:39:57,239
Speaker 1: So first of all, I just have to comment on, Oh,

852
00:39:57,280 --> 00:39:59,520
Speaker 1: there's no elite within the Democratic Party, says a woman

853
00:39:59,560 --> 00:40:03,840
Speaker 1: who's like multi multi multi millionaire. So is that one?

854
00:40:04,520 --> 00:40:07,879
Speaker 1: But you know, you see some of the typical, you know,

855
00:40:08,120 --> 00:40:10,919
Speaker 1: sort of explanations of how this is really no big

856
00:40:10,960 --> 00:40:15,040
Speaker 1: deal for Biden, exemplified there by Claire mccaskell in particular,

857
00:40:15,160 --> 00:40:18,719
Speaker 1: it's basically like, but Trump, once they remember this will

858
00:40:18,719 --> 00:40:20,839
Speaker 1: be in the past. They'll think about Trump, they'll think

859
00:40:20,840 --> 00:40:24,800
Speaker 1: about abortion, and there's no you know, oh, the policy's

860
00:40:24,840 --> 00:40:27,279
Speaker 1: going to change. It's just we think that people will

861
00:40:27,320 --> 00:40:28,960
Speaker 1: get over it. And by the way, we think we

862
00:40:28,960 --> 00:40:32,880
Speaker 1: could win some of Nicki Haley's Republican supporters more easily

863
00:40:32,920 --> 00:40:35,040
Speaker 1: at this point. Really is what she's saying than these

864
00:40:35,280 --> 00:40:38,839
Speaker 1: protest voters who are upset over our government funding and genocide.

865
00:40:39,400 --> 00:40:43,799
Speaker 1: But I really love how she's so dismissive of these

866
00:40:43,840 --> 00:40:47,600
Speaker 1: parts of Michigan when again, yeah, the highest numbers came

867
00:40:47,680 --> 00:40:51,640
Speaker 1: in college towns and in majority Arab American and Muslim

868
00:40:51,680 --> 00:40:55,080
Speaker 1: American places like Dearborn, but you had a pretty significant

869
00:40:55,160 --> 00:40:59,800
Speaker 1: vote across the entire state that you cannot just handwave

870
00:41:00,080 --> 00:41:02,880
Speaker 1: way and dismiss is like all those crazy Bernie Sanders supporters.

871
00:41:02,880 --> 00:41:06,560
Speaker 1: Not to mention, those crazy Bernie Sanders supporters were a

872
00:41:07,000 --> 00:41:11,400
Speaker 1: vital part of your twenty twenty election victory. They are

873
00:41:11,440 --> 00:41:14,200
Speaker 1: also Democrats that you need to show up in order

874
00:41:14,239 --> 00:41:17,840
Speaker 1: to succeed. So I really enjoyed all of that, and

875
00:41:17,920 --> 00:41:20,560
Speaker 1: I especially love the host like grabbing on.

876
00:41:20,640 --> 00:41:21,799
Speaker 3: Oh yeah, yeah, you're right.

877
00:41:21,800 --> 00:41:24,560
Speaker 1: That's a great point, grabbing on to whatever straws they

878
00:41:24,560 --> 00:41:26,840
Speaker 1: could to try to dismiss the significance of what was

879
00:41:26,880 --> 00:41:27,760
Speaker 1: incredibly significant.

880
00:41:27,920 --> 00:41:29,560
Speaker 2: There are no elits in the Democratic Party is one

881
00:41:29,560 --> 00:41:33,399
Speaker 2: of the most insane things. But the thing is, though,

882
00:41:33,400 --> 00:41:35,440
Speaker 2: is that the actual elites in the Democratic Party do

883
00:41:35,520 --> 00:41:38,080
Speaker 2: at least see some signs of panic. Here's Morning Joe

884
00:41:38,120 --> 00:41:39,200
Speaker 2: for example. Let's take a.

885
00:41:39,239 --> 00:41:41,240
Speaker 8: Lesson Governor Whitmer. We had her on the show earlier

886
00:41:41,320 --> 00:41:44,040
Speaker 8: this week. Acknowledged that for some in the Muslim American

887
00:41:44,120 --> 00:41:47,840
Speaker 8: Arab American community in Michigan, this issue is so personal

888
00:41:48,120 --> 00:41:51,480
Speaker 8: that even anticipated that in November, because they're so angry,

889
00:41:51,560 --> 00:41:53,200
Speaker 8: they won't want to cast air ballot for Joe Biden.

890
00:41:53,200 --> 00:41:54,680
Speaker 2: They're not going to vote for Trump, but they.

891
00:41:54,680 --> 00:41:56,319
Speaker 8: Might find a third party candidate.

892
00:41:56,080 --> 00:41:57,359
Speaker 2: Or they might just choose to stay home.

893
00:41:57,560 --> 00:41:59,560
Speaker 8: So this is something the election team is going to

894
00:41:59,560 --> 00:42:01,200
Speaker 8: have to deal with and also try to find some

895
00:42:01,280 --> 00:42:02,759
Speaker 8: other paths to victory.

896
00:42:02,480 --> 00:42:02,959
Speaker 7: In the state.

897
00:42:03,120 --> 00:42:04,719
Speaker 9: Well, I mean, they need to be worried about it.

898
00:42:04,760 --> 00:42:07,080
Speaker 9: They obviously need to be concerned about it. They also

899
00:42:07,120 --> 00:42:09,879
Speaker 9: don't need to service these voters and stay in front

900
00:42:09,880 --> 00:42:12,560
Speaker 9: of these voters between now and then it's again it's

901
00:42:12,719 --> 00:42:16,279
Speaker 9: eight nine months, very long time in politics and lifetime

902
00:42:17,080 --> 00:42:17,920
Speaker 9: in politics.

903
00:42:17,960 --> 00:42:20,799
Speaker 2: Wow, lifetime in politics. But you know, at the very least,

904
00:42:20,800 --> 00:42:22,799
Speaker 2: I think it's one of those where Crystal they are

905
00:42:22,880 --> 00:42:28,400
Speaker 2: acknowledging that things aren't necessarily good for the Democratic Party.

906
00:42:28,440 --> 00:42:31,920
Speaker 2: Where look, because that's Biden's show, he doesn't have to listen. Now,

907
00:42:31,960 --> 00:42:34,200
Speaker 2: at some point we'll not try sure how much has

908
00:42:34,239 --> 00:42:37,279
Speaker 2: gone through. My likely analysis kind of the way they

909
00:42:37,320 --> 00:42:39,040
Speaker 2: look at it is in the way that they do

910
00:42:39,120 --> 00:42:41,640
Speaker 2: almost every step back, is it'll be fine because of Trump.

911
00:42:41,760 --> 00:42:43,759
Speaker 2: They really believe it. I don't think it's going to work,

912
00:42:43,800 --> 00:42:45,319
Speaker 2: but that's what they believe at the White House.

913
00:42:45,400 --> 00:42:48,640
Speaker 1: Well, what was interesting to me watching the election night results,

914
00:42:48,719 --> 00:42:51,440
Speaker 1: and you know, I delightedly watched CNN all night to

915
00:42:51,480 --> 00:42:53,319
Speaker 1: see the way that they would cope and see over

916
00:42:53,360 --> 00:42:57,000
Speaker 1: all of this. But you know, the result would have

917
00:42:57,040 --> 00:43:01,800
Speaker 1: been less significant if you didn't have the mainstream organs

918
00:43:02,440 --> 00:43:05,680
Speaker 1: like MSNBC and CNN really paying attention to it and

919
00:43:05,760 --> 00:43:08,640
Speaker 1: really like covering it, really handing over it.

920
00:43:08,920 --> 00:43:10,560
Speaker 3: Now, there's this phenomenon.

921
00:43:10,040 --> 00:43:13,040
Speaker 1: That happens, and this is like classic sort of timeline

922
00:43:13,120 --> 00:43:16,839
Speaker 1: of the cope where when the initial shock hits they

923
00:43:16,840 --> 00:43:19,120
Speaker 1: can't help but me a little bit honest about this

924
00:43:19,200 --> 00:43:20,840
Speaker 1: is a problem. And that's what was going on on

925
00:43:20,920 --> 00:43:24,200
Speaker 1: CNN that night. But even a few hours into the coverage,

926
00:43:24,239 --> 00:43:26,680
Speaker 1: they already were bringing on analysts to be like, this.

927
00:43:26,520 --> 00:43:27,879
Speaker 3: Is fine, it's no big deal.

928
00:43:27,960 --> 00:43:31,040
Speaker 1: This is barely even more votes than uncommitted even usually gets,

929
00:43:31,080 --> 00:43:33,640
Speaker 1: which is just a complete lie in fabrication, by the way,

930
00:43:34,040 --> 00:43:36,720
Speaker 1: But they had already moved on to trying to dismiss

931
00:43:36,760 --> 00:43:38,640
Speaker 1: it and trying to pretend like this is no big deal.

932
00:43:39,040 --> 00:43:41,279
Speaker 3: But listen, the bottom line is.

933
00:43:41,960 --> 00:43:45,560
Speaker 1: You, whatever you think about what Israel's doing, a majority

934
00:43:45,640 --> 00:43:49,280
Speaker 1: of Democrats think it's a genocide. A majority of Democrats

935
00:43:49,360 --> 00:43:52,160
Speaker 1: think it's a genocide. Thirty more percent are not sure.

936
00:43:53,040 --> 00:43:57,360
Speaker 1: So yes, that is going to have some electoral consequences

937
00:43:58,239 --> 00:44:02,960
Speaker 1: when the Democratic president is shipping the weapons to be

938
00:44:03,160 --> 00:44:06,080
Speaker 1: used in what a majority of the Democratic base thinks

939
00:44:06,360 --> 00:44:08,960
Speaker 1: is a genocide. I mean, that is pretty much as

940
00:44:09,080 --> 00:44:11,680
Speaker 1: basic as it comes. So even if you have come

941
00:44:11,760 --> 00:44:15,880
Speaker 1: up with whatever cope math you've imagined to dismiss the

942
00:44:15,880 --> 00:44:18,640
Speaker 1: one hundred thousand people in Michigan as it's really no

943
00:44:18,719 --> 00:44:20,440
Speaker 1: big deal, and we're going to be fine, et cetera,

944
00:44:20,480 --> 00:44:25,399
Speaker 1: et cetera. That basic reality is not going anywhere, and

945
00:44:25,800 --> 00:44:26,200
Speaker 1: you know it.

946
00:44:26,160 --> 00:44:28,160
Speaker 3: Is certainly possible. Listen as possible.

947
00:44:28,239 --> 00:44:30,520
Speaker 1: Michigan is the high water mark for uncommitted because of

948
00:44:30,560 --> 00:44:33,080
Speaker 1: the demographic nature there, because it was you know, going

949
00:44:33,120 --> 00:44:34,600
Speaker 1: alone and so there was a lot of focus and

950
00:44:34,600 --> 00:44:36,120
Speaker 1: they had a little bit of time to prepare. You

951
00:44:36,160 --> 00:44:38,960
Speaker 1: had Rashida to leave there, you had other local electives

952
00:44:38,960 --> 00:44:42,600
Speaker 1: who decided to get behind the movement, and former Congressman

953
00:44:42,680 --> 00:44:45,120
Speaker 1: Levin also getting behind the movement. Could be thus the

954
00:44:45,160 --> 00:44:47,360
Speaker 1: high water mark could be that this thing continues to

955
00:44:47,400 --> 00:44:49,359
Speaker 1: grow and you continue to see some results like this

956
00:44:49,800 --> 00:44:53,680
Speaker 1: in additional Super Tuesday states and beyond. We have one

957
00:44:53,719 --> 00:44:56,600
Speaker 1: more for you, which is just so amazing over on

958
00:44:56,719 --> 00:45:00,480
Speaker 1: CNN talking about the youths and what Biden, all the

959
00:45:00,680 --> 00:45:02,759
Speaker 1: great work Biden has been doing to reach out to

960
00:45:02,800 --> 00:45:03,000
Speaker 1: the youth.

961
00:45:03,160 --> 00:45:05,000
Speaker 3: What do they even want from him? Anyway?

962
00:45:05,800 --> 00:45:07,800
Speaker 1: This guy's is the sixth element in the block.

963
00:45:07,920 --> 00:45:08,640
Speaker 3: Let's take a look.

964
00:45:08,719 --> 00:45:10,919
Speaker 10: But it was also the college counties like around ann

965
00:45:11,040 --> 00:45:14,360
Speaker 10: Arbor that you had high numbers of people voting uncommitted.

966
00:45:14,400 --> 00:45:17,440
Speaker 10: What can President Biden do in terms of outreach to

967
00:45:17,520 --> 00:45:18,440
Speaker 10: younger voters.

968
00:45:18,160 --> 00:45:19,360
Speaker 2: That he hasn't done already.

969
00:45:19,600 --> 00:45:22,640
Speaker 10: I mean, he's already forgiven all the student debt that

970
00:45:22,719 --> 00:45:26,360
Speaker 10: he can. He's already showing up on Seth Meyers in TikTok.

971
00:45:26,480 --> 00:45:28,480
Speaker 10: How does he reach the younger crowd?

972
00:45:28,840 --> 00:45:30,160
Speaker 2: I'm already on TikTok.

973
00:45:30,200 --> 00:45:33,680
Speaker 1: He's already done a single TikTok and he went on

974
00:45:33,719 --> 00:45:37,480
Speaker 1: Seth Myers. Don't think young people love Seth Myers. The

975
00:45:37,480 --> 00:45:40,959
Speaker 1: student debt thing is also bullshit because obviously they could do.

976
00:45:40,960 --> 00:45:42,799
Speaker 3: A lot more on student debt. But he's doing this,

977
00:45:42,920 --> 00:45:43,239
Speaker 3: you know, a.

978
00:45:43,200 --> 00:45:45,800
Speaker 1: Little pitoy efforts, which I do appreciates better than nothing.

979
00:45:45,840 --> 00:45:48,200
Speaker 1: But yeah, I love how they're just so exactly what

980
00:45:48,239 --> 00:45:50,000
Speaker 1: do these young people want.

981
00:45:50,200 --> 00:45:52,200
Speaker 3: It's like, well, maybe they want.

982
00:45:52,120 --> 00:45:55,800
Speaker 1: Our taxpayer dollars to not go to fund bombing babies

983
00:45:56,000 --> 00:45:58,839
Speaker 1: in Gaza as a start. Perhaps that is even more

984
00:45:58,880 --> 00:46:02,920
Speaker 1: important to them then the theoretical possibility that maybe some

985
00:46:03,000 --> 00:46:05,240
Speaker 1: of their student debt will be slightly alleviated.

986
00:46:05,280 --> 00:46:07,200
Speaker 2: The other funny thing about the Seth Myers interview we

987
00:46:07,200 --> 00:46:09,000
Speaker 2: have this we can put up there on the screen,

988
00:46:09,200 --> 00:46:12,080
Speaker 2: is that actually from media? I please? Is that the

989
00:46:12,120 --> 00:46:14,560
Speaker 2: Monday night and Interview with the President actually brought in

990
00:46:14,880 --> 00:46:18,440
Speaker 2: eight hundred and fifty thousand average total viewers, but only

991
00:46:18,440 --> 00:46:20,680
Speaker 2: one hundred and eighty one thousand in the twenty five

992
00:46:21,000 --> 00:46:24,480
Speaker 2: to fifty four age demographic, which is a thirty two

993
00:46:24,520 --> 00:46:27,320
Speaker 2: percent drop compared to the exact same day in the

994
00:46:27,400 --> 00:46:30,000
Speaker 2: last year. Now, maybe that's just because the show has

995
00:46:30,040 --> 00:46:33,120
Speaker 2: a completely declining viewership, and you know, again just to

996
00:46:33,160 --> 00:46:38,320
Speaker 2: think regardless for network television, but then to think even

997
00:46:38,400 --> 00:46:40,560
Speaker 2: lower for one hundred and eighty thousand the key demo,

998
00:46:40,840 --> 00:46:42,120
Speaker 2: I mean, I don't have to say it, but like

999
00:46:42,280 --> 00:46:46,480
Speaker 2: very very basic YouTube people can surpass that dramatically with

1000
00:46:46,719 --> 00:46:49,600
Speaker 2: a median video, I would say, as opposed to whatever

1001
00:46:49,640 --> 00:46:51,920
Speaker 2: the hell they're throwing out. But even amongst you know,

1002
00:46:51,960 --> 00:46:54,879
Speaker 2: going on Seth Myers, it's like, clearly, if you think

1003
00:46:54,920 --> 00:46:57,759
Speaker 2: that's the way to reach young people, then you are

1004
00:46:57,800 --> 00:47:00,200
Speaker 2: living in the year like nineteen ninety two, which hey,

1005
00:47:00,200 --> 00:47:02,279
Speaker 2: maybe Biden actually is you know, yeah he is.

1006
00:47:02,600 --> 00:47:07,040
Speaker 1: I mean Cethlier's himself is fifty years old. God, I

1007
00:47:07,080 --> 00:47:08,440
Speaker 1: would loved and I would love to it. I mean,

1008
00:47:08,560 --> 00:47:11,160
Speaker 1: I'm sure the average age of his audience is probably like.

1009
00:47:11,640 --> 00:47:13,680
Speaker 2: I mean, yeah, you could see the map yeah, I

1010
00:47:13,680 --> 00:47:15,799
Speaker 2: mean eight hundred fifty thousand people are watching. One hundred

1011
00:47:15,800 --> 00:47:17,840
Speaker 2: and eighty thousand of them are in that down twenty

1012
00:47:17,840 --> 00:47:20,400
Speaker 2: five to fifty four. Let's assume that the vast majority

1013
00:47:20,400 --> 00:47:22,080
Speaker 2: are not going to be below the K demo, and

1014
00:47:22,080 --> 00:47:23,640
Speaker 2: they're going to be above it than the vast majority

1015
00:47:23,640 --> 00:47:26,680
Speaker 2: people are watching. You are old. It makes sense. I'm

1016
00:47:26,680 --> 00:47:28,880
Speaker 2: actually reading a book right now about the history of

1017
00:47:28,920 --> 00:47:31,719
Speaker 2: Late Night. It's very interesting. I mean, so much of

1018
00:47:31,760 --> 00:47:33,480
Speaker 2: this happened before, Like I was in Boorn, but the

1019
00:47:33,520 --> 00:47:37,520
Speaker 2: wars between Jay Leno and David Letterman and Letterman. At

1020
00:47:37,560 --> 00:47:41,839
Speaker 2: one time, Letterman and Arsenio Hall were considered like peep

1021
00:47:42,000 --> 00:47:44,919
Speaker 2: for our age. People were like, they're young and they're hip,

1022
00:47:44,960 --> 00:47:47,959
Speaker 2: and we're staying up late to smoke pot and watch

1023
00:47:48,120 --> 00:47:50,480
Speaker 2: David Letterman at twelve thirty. And I was like, is

1024
00:47:50,600 --> 00:47:53,360
Speaker 2: this really my age lived at that time? Because that

1025
00:47:53,480 --> 00:47:56,160
Speaker 2: is lame as hell? But hey, I mean in a

1026
00:47:56,320 --> 00:47:58,960
Speaker 2: you know, in a note cable world news.

1027
00:47:58,719 --> 00:47:59,640
Speaker 3: No, what else are you gonna do?

1028
00:48:00,080 --> 00:48:00,840
Speaker 2: What else are you going to do?

1029
00:48:00,920 --> 00:48:02,120
Speaker 3: It's like pre John Stewart.

1030
00:48:02,200 --> 00:48:04,680
Speaker 2: Yeah, and you know, I mean pre everything. He didn't

1031
00:48:04,680 --> 00:48:07,279
Speaker 2: even have cable television in some cases, this was the

1032
00:48:07,440 --> 00:48:10,239
Speaker 2: very very early days of all of that. But he

1033
00:48:10,320 --> 00:48:13,000
Speaker 2: seems to think like it's like I said, literally nineteen

1034
00:48:13,080 --> 00:48:15,440
Speaker 2: ninety two, that was the case for Letterman. He brings

1035
00:48:15,440 --> 00:48:17,839
Speaker 2: in the youths. They really love David Letterman in his

1036
00:48:18,000 --> 00:48:18,880
Speaker 2: impish style.

1037
00:48:20,000 --> 00:48:20,200
Speaker 6: You know.

1038
00:48:20,239 --> 00:48:22,719
Speaker 2: For me, I'm like Lutman's such a boomer. I can't

1039
00:48:22,880 --> 00:48:26,279
Speaker 2: imagine watching it some people.

1040
00:48:26,280 --> 00:48:28,640
Speaker 1: Listen, it was a different moment, you know, there was

1041
00:48:28,800 --> 00:48:29,719
Speaker 1: fewer options.

1042
00:48:29,800 --> 00:48:31,120
Speaker 3: He had to be there, et cetera.

1043
00:48:31,239 --> 00:48:34,520
Speaker 1: But yeah, just I mean, I also want John Bourbon

1044
00:48:34,640 --> 00:48:35,200
Speaker 1: is a nice guy.

1045
00:48:35,239 --> 00:48:37,719
Speaker 3: But this is just hilarious. Now, what more do they

1046
00:48:37,760 --> 00:48:39,080
Speaker 3: want from Joe Biden? Anyway?

1047
00:48:39,160 --> 00:48:41,920
Speaker 1: He even went on seth Meyers and put out a TikTok?

1048
00:48:42,040 --> 00:48:45,000
Speaker 1: Isn't that enough for these young people? Don't think so, guys,

1049
00:48:47,600 --> 00:48:50,719
Speaker 1: Let's go and move on to some breaking news, very

1050
00:48:50,719 --> 00:48:53,359
Speaker 1: disturbing coming out of Israel this morning. Let's go ahead

1051
00:48:53,360 --> 00:48:56,120
Speaker 1: and put this first element up on the screen, guys. So,

1052
00:48:56,360 --> 00:48:59,200
Speaker 1: the reports are that at least one hundred and four

1053
00:48:59,280 --> 00:49:04,279
Speaker 1: Palestinians who were waiting for food aid were killed and

1054
00:49:04,440 --> 00:49:09,120
Speaker 1: seven hundred and sixty wounded after being shot at by

1055
00:49:09,280 --> 00:49:15,759
Speaker 1: Israeli forces in Gaza. This is obviously horrifying news. We

1056
00:49:15,960 --> 00:49:20,920
Speaker 1: know the levels of starvation and desperation that have become

1057
00:49:21,160 --> 00:49:25,160
Speaker 1: completely endemic in the Gaza Strip. There is not a

1058
00:49:25,200 --> 00:49:30,600
Speaker 1: person there who is not undergoing severe food shortages.

1059
00:49:30,239 --> 00:49:32,960
Speaker 3: And having to go without meals. Nutrition.

1060
00:49:33,320 --> 00:49:37,560
Speaker 1: Malnutrition is now extraordinarily widespread and pervasive among young people.

1061
00:49:37,920 --> 00:49:40,680
Speaker 1: So you have a huge number of people waiting for

1062
00:49:40,840 --> 00:49:44,360
Speaker 1: and attempting to get food off of these aid trucks

1063
00:49:44,920 --> 00:49:48,600
Speaker 1: and Israeli forces, according to Al Jazeera and other reports,

1064
00:49:49,040 --> 00:49:52,720
Speaker 1: shooting dead at least one hundred and four Palestinians waiting

1065
00:49:52,719 --> 00:49:56,920
Speaker 1: for food aid and wounding at least seven hundred and sixty.

1066
00:49:57,239 --> 00:50:01,279
Speaker 1: Now the IDF has responded, we can go ahead and

1067
00:50:01,320 --> 00:50:04,919
Speaker 1: show this video that they put out, and I will

1068
00:50:04,960 --> 00:50:07,720
Speaker 1: go ahead and tell you what they are claiming happened,

1069
00:50:07,719 --> 00:50:10,319
Speaker 1: which is at odds with other evidence and reports from

1070
00:50:10,320 --> 00:50:13,200
Speaker 1: on the ground. They say early this morning, during the

1071
00:50:13,320 --> 00:50:16,440
Speaker 1: entry of humanitarian aid trucks into the Northern Gaza Strip,

1072
00:50:16,760 --> 00:50:21,520
Speaker 1: Gozen residents surrounded the trucks and looted the supplies being delivered.

1073
00:50:21,920 --> 00:50:25,480
Speaker 1: During the incident, dozens of Gozen's were injured as a

1074
00:50:25,520 --> 00:50:29,200
Speaker 1: result of pushing and trampling the incident is under review.

1075
00:50:29,640 --> 00:50:33,040
Speaker 1: As I said, this accounting by the IDF of claiming

1076
00:50:33,120 --> 00:50:36,880
Speaker 1: that the injuries were sustained by desperate Palestinians looting and

1077
00:50:36,920 --> 00:50:41,839
Speaker 1: trampling over one another is undercut by additional video from

1078
00:50:41,880 --> 00:50:44,920
Speaker 1: the scene. This is courtesy of Al Jazeera, where you

1079
00:50:44,960 --> 00:50:50,680
Speaker 1: can actually hear the IDF gunfire surrounding this food truck

1080
00:50:50,760 --> 00:50:52,960
Speaker 1: and resulting in the deaths of many Palestinians.

1081
00:50:53,000 --> 00:50:55,399
Speaker 3: Let's take a listen go wrong.

1082
00:51:15,480 --> 00:51:19,000
Speaker 1: So Soger, obviously, you know you have an incredibly desperate

1083
00:51:19,000 --> 00:51:23,400
Speaker 1: people literally starving to death in certain instances, trying to

1084
00:51:23,640 --> 00:51:27,919
Speaker 1: get whatever food they can. Food truck deliveries have been

1085
00:51:28,600 --> 00:51:32,880
Speaker 1: further curtailed and limited, especially as the Israeli government has

1086
00:51:32,920 --> 00:51:35,680
Speaker 1: allowed those protests to continue which have been blocking aid

1087
00:51:35,760 --> 00:51:39,120
Speaker 1: going into the strip. The ic J ruling they actually

1088
00:51:39,239 --> 00:51:43,040
Speaker 1: demanded that Israel increased humanitarian supplies, they have gone in

1089
00:51:43,080 --> 00:51:46,880
Speaker 1: the opposite direction. And so now, especially in northern Gaza,

1090
00:51:47,040 --> 00:51:50,520
Speaker 1: you have just an absolute desperation. And you also have

1091
00:51:50,680 --> 00:51:55,680
Speaker 1: prior reports too of the IDF firing on these aid convoys.

1092
00:51:55,680 --> 00:51:57,680
Speaker 1: So this is not even the first time that it's happened,

1093
00:51:57,680 --> 00:51:59,640
Speaker 1: but it appears to be the time that has had

1094
00:51:59,640 --> 00:52:01,400
Speaker 1: the mooth, terrific and deadly results.

1095
00:52:01,440 --> 00:52:03,880
Speaker 2: I mean, regardless of whether they were fired on or

1096
00:52:03,920 --> 00:52:07,240
Speaker 2: whether they died in the trampling incident, as Israel's claimed,

1097
00:52:07,280 --> 00:52:10,160
Speaker 2: it's obviously a result of the same net effect situation.

1098
00:52:10,200 --> 00:52:12,759
Speaker 2: Although we should say CNN, Al Jazeer and others are

1099
00:52:12,760 --> 00:52:15,200
Speaker 2: all reporting that they weren't fired upon now. But one

1100
00:52:15,239 --> 00:52:17,040
Speaker 2: of the things that's noteworthy to me is I'm actually

1101
00:52:17,080 --> 00:52:19,719
Speaker 2: for the first time seeing bubbling up criticism in the

1102
00:52:19,840 --> 00:52:22,960
Speaker 2: Israeli Pressed, and they're specifically actually pointing to a major

1103
00:52:23,000 --> 00:52:26,680
Speaker 2: warning that came from the Biden administration just earlier this week,

1104
00:52:26,920 --> 00:52:30,359
Speaker 2: which told them that quote, Gaza is turning into Mogadishu.

1105
00:52:30,400 --> 00:52:32,520
Speaker 2: And that's really all I could think about watching that

1106
00:52:32,640 --> 00:52:35,080
Speaker 2: video is you literally look at a swarm of people

1107
00:52:35,360 --> 00:52:38,920
Speaker 2: who are going to the food because several things, you know,

1108
00:52:39,000 --> 00:52:42,120
Speaker 2: one of the first and foremost is that demonstrates the

1109
00:52:42,280 --> 00:52:45,920
Speaker 2: massive security vacuum inside of the strip. So if we

1110
00:52:46,000 --> 00:52:49,319
Speaker 2: have no hamas or at the very diminished mas and

1111
00:52:49,360 --> 00:52:53,400
Speaker 2: we have basically complete chaos and then highly highly you know,

1112
00:52:53,520 --> 00:52:56,680
Speaker 2: constricted amounts of food, it's going to be doggy dog

1113
00:52:56,719 --> 00:52:58,600
Speaker 2: I mean, I've seen reports of what is it, you know,

1114
00:52:58,760 --> 00:53:00,600
Speaker 2: hundreds of dollars to be able to eye a single

1115
00:53:00,600 --> 00:53:03,239
Speaker 2: plate of food. Is we have malnutrition conditions that are

1116
00:53:03,239 --> 00:53:06,640
Speaker 2: sweeping the entire place. This is a preview of the

1117
00:53:06,680 --> 00:53:10,520
Speaker 2: full on future. And this actually the death toll remaining

1118
00:53:10,560 --> 00:53:13,600
Speaker 2: so high natural causes of people starving to death, malnutrition

1119
00:53:13,920 --> 00:53:16,680
Speaker 2: and others. This is why you know, the thirty thousand

1120
00:53:16,719 --> 00:53:19,960
Speaker 2: some people who have been confirmed now dead after the war.

1121
00:53:20,200 --> 00:53:24,280
Speaker 2: It's only likely to go way higher and exponential in

1122
00:53:24,320 --> 00:53:27,520
Speaker 2: the coming months if these conditions don't change at all,

1123
00:53:27,560 --> 00:53:30,399
Speaker 2: specifically with the food aid. And I also think that

1124
00:53:30,440 --> 00:53:34,480
Speaker 2: this is the humanitarian disaster where everyone kept saying, They're like, oh,

1125
00:53:34,480 --> 00:53:35,759
Speaker 2: why isn't it come yet, and it's like, well, it

1126
00:53:35,760 --> 00:53:38,000
Speaker 2: takes a long time to starve to death actually, And

1127
00:53:38,000 --> 00:53:39,640
Speaker 2: one of the things that you could see is that

1128
00:53:39,680 --> 00:53:41,680
Speaker 2: what it's only been one hundred and fifty days or so,

1129
00:53:41,960 --> 00:53:45,080
Speaker 2: we are now full onto that phase of the Iraq

1130
00:53:45,239 --> 00:53:48,040
Speaker 2: you know style thing where now you've got looting, now

1131
00:53:48,040 --> 00:53:50,839
Speaker 2: you've got full on security back. Arguably, they had more

1132
00:53:50,880 --> 00:53:53,640
Speaker 2: of a security force in Baghdad post US invasion than

1133
00:53:53,680 --> 00:53:56,879
Speaker 2: Gaza does right now. So just imagine, you know, where

1134
00:53:56,920 --> 00:53:59,040
Speaker 2: things can get worse. And I think this actually could

1135
00:53:59,040 --> 00:54:02,840
Speaker 2: have a significant impact in terms of just visibility for

1136
00:54:03,000 --> 00:54:05,719
Speaker 2: US policymakers and others to try and to change their

1137
00:54:05,719 --> 00:54:07,919
Speaker 2: direction because it's undeniable. You can look at that video.

1138
00:54:08,160 --> 00:54:10,160
Speaker 2: Regardless the idea of sitting there trampling each other to

1139
00:54:10,200 --> 00:54:13,360
Speaker 2: death or whether they were fired on, obviously there's a

1140
00:54:13,360 --> 00:54:15,880
Speaker 2: substante difference. It's like, well, you're the ones creating the condition,

1141
00:54:16,000 --> 00:54:16,960
Speaker 2: so they got to change.

1142
00:54:17,120 --> 00:54:17,719
Speaker 3: They're on you.

1143
00:54:17,960 --> 00:54:20,439
Speaker 2: Yeah, either way, yeah, literally on either way.

1144
00:54:20,560 --> 00:54:24,360
Speaker 1: What Haratz is reporting is that soldiers shot towards the

1145
00:54:24,440 --> 00:54:28,279
Speaker 1: legs of those in the crowd who began advancing towards them.

1146
00:54:28,400 --> 00:54:30,799
Speaker 1: That's what they're saying. As I you know, we played

1147
00:54:30,800 --> 00:54:33,160
Speaker 1: that video. You can hear the shots. Clearly the idea

1148
00:54:33,200 --> 00:54:36,000
Speaker 1: was firing on all most people. So there was, you know,

1149
00:54:36,760 --> 00:54:39,440
Speaker 1: possibly a stampede to start with, because you have this

1150
00:54:40,080 --> 00:54:46,280
Speaker 1: mass caged in, desperate, absolutely desperate population, starving to death,

1151
00:54:46,760 --> 00:54:49,960
Speaker 1: and then you add into that the idea firing upon

1152
00:54:50,080 --> 00:54:54,040
Speaker 1: them and the result is over one hundred Palestinians now dead.

1153
00:54:54,160 --> 00:54:58,239
Speaker 1: And yeah, regardless of how many were stampeded, whether it

1154
00:54:58,400 --> 00:55:02,040
Speaker 1: was because of the desperate whether it was directly shots

1155
00:55:02,080 --> 00:55:06,800
Speaker 1: fired or some mix of all of that. Ultimately, fully

1156
00:55:06,840 --> 00:55:10,080
Speaker 1: the responsibility of these rallies who have created these desperate

1157
00:55:10,080 --> 00:55:12,800
Speaker 1: conditions in Gaza, and speaking to that, we're learning more

1158
00:55:13,400 --> 00:55:17,680
Speaker 1: this week about how horrifying those conditions are. You do

1159
00:55:17,760 --> 00:55:23,640
Speaker 1: have people, specifically babies, who are beginning to die of starvation.

1160
00:55:24,120 --> 00:55:26,359
Speaker 1: We can put this up on the screen. We talked

1161
00:55:26,360 --> 00:55:29,080
Speaker 1: a little bit about this before, but you had two

1162
00:55:29,160 --> 00:55:32,520
Speaker 1: children who just passed away in Al Shifa Hospital as

1163
00:55:32,560 --> 00:55:35,920
Speaker 1: a result of malnutrition. This is per the Ministry of Health.

1164
00:55:36,120 --> 00:55:39,000
Speaker 1: They say the number of victims of starvation among children

1165
00:55:39,040 --> 00:55:41,480
Speaker 1: and this has been primarily infants, I believe has risen

1166
00:55:41,800 --> 00:55:46,440
Speaker 1: to six. We know that you have a huge proportion

1167
00:55:46,480 --> 00:55:49,040
Speaker 1: of children who are facing acute malnutrition. You have a

1168
00:55:49,120 --> 00:55:53,000
Speaker 1: significant percentage that are suffering from severe wasting. I mean,

1169
00:55:53,040 --> 00:55:56,880
Speaker 1: their lives are literally in danger simply because of the

1170
00:55:56,960 --> 00:55:59,839
Speaker 1: lack of food, the lack of water. We can put

1171
00:55:59,840 --> 00:56:02,439
Speaker 1: some of these images up on the screen of one

1172
00:56:02,440 --> 00:56:07,719
Speaker 1: of the infants that sadly passed because of acute malnutrition.

1173
00:56:08,160 --> 00:56:10,799
Speaker 1: We showed you one another one earlier this week. So

1174
00:56:11,040 --> 00:56:13,160
Speaker 1: this is where we are. We are already past that

1175
00:56:13,239 --> 00:56:16,560
Speaker 1: tipping point where now we have people and babies specifically

1176
00:56:16,920 --> 00:56:21,440
Speaker 1: literally dying of starvation. And you understand the desperate circumstances

1177
00:56:21,440 --> 00:56:26,520
Speaker 1: that Palestines are facing, particularly in Northern Gaza, where there

1178
00:56:26,520 --> 00:56:31,000
Speaker 1: has been you know, almost no very limited food deliveries.

1179
00:56:31,280 --> 00:56:34,000
Speaker 1: There's very little that gets past Rafa, where you know,

1180
00:56:34,040 --> 00:56:36,880
Speaker 1: you have one point three million Palestinines were clustered also

1181
00:56:36,960 --> 00:56:41,520
Speaker 1: in abhorrent humanitarian conditions, you know, also with a lot

1182
00:56:41,560 --> 00:56:44,680
Speaker 1: of social breakdown that we've showed you before, but very

1183
00:56:44,680 --> 00:56:47,799
Speaker 1: little gets beyond Rafa, and so Northern Gaza is in

1184
00:56:47,840 --> 00:56:51,359
Speaker 1: the most critical condition in terms of malnutrition, and it's

1185
00:56:51,480 --> 00:56:54,640
Speaker 1: just it's just horrifying. I mean, it's just absolutely tragic

1186
00:56:54,680 --> 00:56:55,360
Speaker 1: all the way around.

1187
00:56:55,480 --> 00:56:57,200
Speaker 2: Yeah, I love, like I said, I think it's only

1188
00:56:57,640 --> 00:57:02,399
Speaker 2: unfortunately very likely to increase Mugadishu like conditions or you know,

1189
00:57:02,520 --> 00:57:05,040
Speaker 2: that's exactly what created that full on civil war. I mean,

1190
00:57:05,080 --> 00:57:06,879
Speaker 2: Somalia still has not recovered from them. It has been over

1191
00:57:06,880 --> 00:57:09,080
Speaker 2: thirty some years since black Hawk down. So there you go.

1192
00:57:09,480 --> 00:57:11,920
Speaker 2: You can see where if there's a vacuum that's created

1193
00:57:11,960 --> 00:57:14,839
Speaker 2: and there's a full blown crisis, it also will lead

1194
00:57:14,880 --> 00:57:18,960
Speaker 2: to a lot of different downstream very scary conditions. It's funny,

1195
00:57:19,000 --> 00:57:21,400
Speaker 2: you know. I was reading in the axios about some

1196
00:57:21,440 --> 00:57:23,440
Speaker 2: of the ways that Israel has claimed that they can

1197
00:57:23,520 --> 00:57:26,600
Speaker 2: establish security on the strip without Hamas, like, oh, we'll

1198
00:57:26,640 --> 00:57:29,520
Speaker 2: partner with the clans who were like opposed to them,

1199
00:57:29,520 --> 00:57:31,000
Speaker 2: and the US is like, well, they don't have any

1200
00:57:31,000 --> 00:57:32,800
Speaker 2: power and a lot of them hate you just as much,

1201
00:57:33,080 --> 00:57:34,920
Speaker 2: so why would they partner with you. It's one of

1202
00:57:34,920 --> 00:57:37,880
Speaker 2: those where the population too Now at this point, they

1203
00:57:37,920 --> 00:57:40,240
Speaker 2: will follow if you can get food in there, they

1204
00:57:40,240 --> 00:57:42,840
Speaker 2: will follow anybody. That's the exact same scenario that we

1205
00:57:42,840 --> 00:57:45,480
Speaker 2: saw play out during the Iraq war. Oh you're Isis,

1206
00:57:45,480 --> 00:57:47,760
Speaker 2: but as long as you can feed me, cool, okay,

1207
00:57:47,880 --> 00:57:50,080
Speaker 2: you know. And it's one of those where this is

1208
00:57:50,080 --> 00:57:51,960
Speaker 2: a this is gonna be a real problem, I think,

1209
00:57:52,000 --> 00:57:54,120
Speaker 2: And this is a real validator, you know, of a

1210
00:57:54,120 --> 00:57:56,080
Speaker 2: lot of the critiques of the way that they have

1211
00:57:56,160 --> 00:57:59,360
Speaker 2: run the war, and it's one of those where you know,

1212
00:57:59,400 --> 00:58:02,440
Speaker 2: they incidents like this, this is exactly what sets the

1213
00:58:02,440 --> 00:58:03,120
Speaker 2: world on fire.

1214
00:58:03,400 --> 00:58:05,880
Speaker 1: How do you argue at this point that this is

1215
00:58:05,920 --> 00:58:08,480
Speaker 1: not collective punishment? I mean, how do you even argue

1216
00:58:08,520 --> 00:58:10,640
Speaker 1: that at this point, Remember we showed you the images

1217
00:58:11,120 --> 00:58:14,600
Speaker 1: these protesters who are blocking food aid coming in being

1218
00:58:14,640 --> 00:58:17,240
Speaker 1: allowed to continue for weeks and weeks at this point,

1219
00:58:18,400 --> 00:58:24,600
Speaker 1: right inside Israel, right with bouncy castles and festive rave

1220
00:58:24,800 --> 00:58:27,880
Speaker 1: like out dancing with flags and you know, setting up

1221
00:58:27,920 --> 00:58:30,960
Speaker 1: cotton candy stands and whatever for the kids, bouncy castles

1222
00:58:31,920 --> 00:58:35,760
Speaker 1: to block food aid, to starve these people to death,

1223
00:58:36,520 --> 00:58:40,440
Speaker 1: and the IDF and the Israeli police force just sitting.

1224
00:58:40,240 --> 00:58:42,040
Speaker 3: Back and letting it happen.

1225
00:58:42,640 --> 00:58:46,440
Speaker 1: Meanwhile, protesters in Tel Aviv who are trying to get

1226
00:58:46,440 --> 00:58:49,120
Speaker 1: hostages to release and are in favor of a ceasefire,

1227
00:58:49,400 --> 00:58:52,800
Speaker 1: they're getting their heads cracked and sprayed with water cannons. Okay,

1228
00:58:53,200 --> 00:58:56,000
Speaker 1: so you tell me what the explicit policy of the

1229
00:58:56,080 --> 00:59:00,920
Speaker 1: Israeli government is. There has been a dramatic decline in

1230
00:59:01,080 --> 00:59:04,680
Speaker 1: food trucks and humanitarian aid allowed into the Strip, even

1231
00:59:04,760 --> 00:59:09,520
Speaker 1: after the ICJ said you're plausibly committing a genocide. This

1232
00:59:09,680 --> 00:59:12,240
Speaker 1: is I mean, there's just no words for what is

1233
00:59:12,280 --> 00:59:15,479
Speaker 1: being done to all of these people, whether they loved

1234
00:59:15,480 --> 00:59:18,320
Speaker 1: Hamas or hated Hamas or were indifferent to Hamas, just

1235
00:59:18,600 --> 00:59:22,520
Speaker 1: ordinary Palestinians who are trying to live their lives, babies

1236
00:59:22,840 --> 00:59:25,560
Speaker 1: who barely even had a chance to live who are

1237
00:59:25,600 --> 00:59:29,720
Speaker 1: now dying of starvation in the hospitals for lack of

1238
00:59:30,080 --> 00:59:33,480
Speaker 1: milk or food, or because their stomachs can't handle the

1239
00:59:33,520 --> 00:59:36,840
Speaker 1: donkey feed that they've had to resort to feeding their children,

1240
00:59:37,440 --> 00:59:42,040
Speaker 1: or the leafy weeds basically that they're scrounging for around

1241
00:59:42,080 --> 00:59:45,880
Speaker 1: the Gaza strip. And you've got protesters with bouncy castles

1242
00:59:47,040 --> 00:59:49,840
Speaker 1: that are making sure that food aid doesn't get in,

1243
00:59:49,920 --> 00:59:52,920
Speaker 1: and then when it does, of course it's swarmed, and

1244
00:59:52,960 --> 00:59:55,680
Speaker 1: it appears the IDF fires on these people, and now

1245
00:59:55,680 --> 00:59:59,080
Speaker 1: more than hundred Palestinians are dead, and close to a thousand.

1246
00:59:59,080 --> 01:00:03,760
Speaker 3: It appears in There's no words. There's no words.

1247
01:00:06,520 --> 01:00:09,440
Speaker 1: Part of how this has been allowed to persist for

1248
01:00:09,560 --> 01:00:13,600
Speaker 1: this long is because they have partners in propaganda among

1249
01:00:13,680 --> 01:00:17,400
Speaker 1: many media outlets. We brought you earlier this week the

1250
01:00:17,440 --> 01:00:20,400
Speaker 1: story of Not Schwartz and The New York Times and

1251
01:00:20,560 --> 01:00:25,320
Speaker 1: the story they put out about alleged systematic rapes by

1252
01:00:25,400 --> 01:00:30,200
Speaker 1: Hamas on October seventh. That story had already fallen apart

1253
01:00:30,280 --> 01:00:32,400
Speaker 1: even by their own fact checkers. They could not put

1254
01:00:32,440 --> 01:00:35,320
Speaker 1: out an episode of The Daily based on this bombshell

1255
01:00:35,320 --> 01:00:39,160
Speaker 1: supposedly investigation that they put together that was bylined by

1256
01:00:39,320 --> 01:00:43,080
Speaker 1: three different individuals, so even their own fact checkers were

1257
01:00:43,200 --> 01:00:45,480
Speaker 1: not willing to stand by this report sufficiently to put

1258
01:00:45,520 --> 01:00:48,640
Speaker 1: it in their premiere podcast. Then we learned, as I

1259
01:00:48,680 --> 01:00:51,760
Speaker 1: detailed earlier this week, that A. Not Schwartz, one of

1260
01:00:51,840 --> 01:00:56,919
Speaker 1: the co authors of this piece, literally had never worked

1261
01:00:56,920 --> 01:01:00,720
Speaker 1: in journalism, had not a single byline prior to joining

1262
01:01:00,720 --> 01:01:03,280
Speaker 1: The New York Times in November gets put on this

1263
01:01:03,480 --> 01:01:10,360
Speaker 1: incredibly fraught, sensitive investigation. We also learned that prior to

1264
01:01:10,400 --> 01:01:13,560
Speaker 1: her time, on October seventh, just before she joined The Times,

1265
01:01:13,920 --> 01:01:17,960
Speaker 1: she was liking on social media overtly genocidal posts calling

1266
01:01:18,000 --> 01:01:21,320
Speaker 1: for Gaza to be turned into a quote slaughter house. Okay,

1267
01:01:21,760 --> 01:01:25,000
Speaker 1: that post that she liked was so genocidal actually showed

1268
01:01:25,080 --> 01:01:30,000
Speaker 1: up in the South Africa ICJ filing alleging that Israel

1269
01:01:30,160 --> 01:01:33,800
Speaker 1: is in fact committing genocide. Well, now we have a

1270
01:01:34,160 --> 01:01:38,080
Speaker 1: report from Ryan Grimm and some of his colleagues there

1271
01:01:38,120 --> 01:01:42,160
Speaker 1: at the intercept that looks into how Not ended up

1272
01:01:42,160 --> 01:01:45,520
Speaker 1: in this piece, how this investigation unfolded, and it is

1273
01:01:45,640 --> 01:01:48,000
Speaker 1: really quite something. Let's go and put this up on

1274
01:01:48,040 --> 01:01:51,480
Speaker 1: the screen. So the headline here from Jeremy Skhill, Ryan

1275
01:01:51,520 --> 01:01:55,720
Speaker 1: Grimm and Daniel Boguslaw quite a powerhouse of byline there

1276
01:01:56,080 --> 01:01:58,840
Speaker 1: between the hammer and the anvil, the story behind the

1277
01:01:58,880 --> 01:01:59,840
Speaker 1: New York Times.

1278
01:01:59,560 --> 01:02:01,280
Speaker 3: October seventh expose.

1279
01:02:02,000 --> 01:02:04,800
Speaker 1: So a lot of this comes from both talking to

1280
01:02:04,880 --> 01:02:08,600
Speaker 1: people inside the Times. A lot of other reporters at

1281
01:02:08,760 --> 01:02:12,160
Speaker 1: the Times are utterly disgusted with the way that this

1282
01:02:12,240 --> 01:02:13,280
Speaker 1: all went down.

1283
01:02:13,680 --> 01:02:15,000
Speaker 3: And then part of it was Sager.

1284
01:02:15,080 --> 01:02:18,760
Speaker 1: They got their hands on a Hebrew language interview that

1285
01:02:19,880 --> 01:02:22,840
Speaker 1: a knot was able to do, and so they have

1286
01:02:23,000 --> 01:02:26,000
Speaker 1: in her own words, the way that she conducted this

1287
01:02:26,080 --> 01:02:27,600
Speaker 1: quote unquote investigation.

1288
01:02:28,280 --> 01:02:29,480
Speaker 3: So here's a quote from her.

1289
01:02:29,720 --> 01:02:32,960
Speaker 1: She apparently she herself was a little wary of being

1290
01:02:33,000 --> 01:02:36,160
Speaker 1: put on this and felt herself to be unqualified, but

1291
01:02:36,280 --> 01:02:39,800
Speaker 1: nevertheless persisted, She says, quote victims of sexual assault are

1292
01:02:39,800 --> 01:02:41,720
Speaker 1: women who have experienced something and then to come and

1293
01:02:41,720 --> 01:02:44,640
Speaker 1: sit in front of such a woman, who am I anyway?

1294
01:02:44,840 --> 01:02:49,160
Speaker 1: I have no qualifications in terms of reporting about the

1295
01:02:49,200 --> 01:02:52,040
Speaker 1: internal turmoil at the New York Times, Ryan says the

1296
01:02:52,080 --> 01:02:54,360
Speaker 1: fear among Times staffers who've been critical of the paper's

1297
01:02:54,360 --> 01:02:57,440
Speaker 1: Gaza coverage is that Schwartz will become a scapegoat for

1298
01:02:57,520 --> 01:03:01,080
Speaker 1: what is a much deeper failure. She may harbor animosity

1299
01:03:01,120 --> 01:03:04,360
Speaker 1: toward Palestinians, lacked the experience with investigative journalism, and feel

1300
01:03:04,400 --> 01:03:07,680
Speaker 1: conflicting pressures between being a supporter of Israel's war effort

1301
01:03:07,680 --> 01:03:10,160
Speaker 1: and a Times reporter. But Schwartz did not commission herself

1302
01:03:10,520 --> 01:03:12,439
Speaker 1: and her nephew. By the way, that's the other piece

1303
01:03:12,480 --> 01:03:15,200
Speaker 1: of this is the third author of this piece was

1304
01:03:15,240 --> 01:03:18,920
Speaker 1: a relative of hers who was almost similarly dis unqualified

1305
01:03:19,680 --> 01:03:22,920
Speaker 1: for any sort of reporting of this level. So she

1306
01:03:23,040 --> 01:03:26,000
Speaker 1: did not commission herself and her nephew. Senior leadership at

1307
01:03:26,000 --> 01:03:28,800
Speaker 1: the New York Times did. Schwartz said as much in

1308
01:03:28,840 --> 01:03:32,120
Speaker 1: an interview with Israeli Army Radio on December thirty. First quote,

1309
01:03:32,200 --> 01:03:34,760
Speaker 1: the New York Times said let's do an investigation into

1310
01:03:34,760 --> 01:03:37,360
Speaker 1: sexual violence. It was more a case of them having

1311
01:03:37,400 --> 01:03:39,880
Speaker 1: a convinced means, she said, her host cutter off. It

1312
01:03:39,920 --> 01:03:42,280
Speaker 1: was a proposal of the New York Times, the entire thing,

1313
01:03:42,280 --> 01:03:43,840
Speaker 1: And she goes on to insist that.

1314
01:03:43,920 --> 01:03:44,600
Speaker 3: Yes, it was.

1315
01:03:45,120 --> 01:03:48,600
Speaker 1: If you read through this piece, Ryan tracks again through

1316
01:03:48,640 --> 01:03:52,200
Speaker 1: the narration of a not about how she conducted this investigation,

1317
01:03:52,600 --> 01:03:55,920
Speaker 1: how it was very much a hunt for justifying a

1318
01:03:55,960 --> 01:03:59,480
Speaker 1: conclusion they had already come to. They wanted to find

1319
01:03:59,600 --> 01:04:02,680
Speaker 1: the evidence that systematic rape was used as a weapon

1320
01:04:02,680 --> 01:04:05,520
Speaker 1: of war on October seventh, and so she went out

1321
01:04:05,560 --> 01:04:08,680
Speaker 1: and effectively scoured the country, talking to you know, people

1322
01:04:08,680 --> 01:04:13,000
Speaker 1: at hospitals, at crisis centers, anyone she could try to

1323
01:04:13,040 --> 01:04:18,720
Speaker 1: find to justify the conclusion she had already come to. Ultimately,

1324
01:04:19,080 --> 01:04:21,440
Speaker 1: and this is why the fact check fell apart, and

1325
01:04:21,480 --> 01:04:25,280
Speaker 1: why the peace itself came under such scrutiny. Ultimately, she

1326
01:04:25,600 --> 01:04:28,400
Speaker 1: ends up relying on the testimony of some of these

1327
01:04:28,800 --> 01:04:32,880
Speaker 1: ZAKA volunteers who were that was the group that invented

1328
01:04:32,880 --> 01:04:35,680
Speaker 1: the forty beheaded babies hoax, and a number of others,

1329
01:04:36,000 --> 01:04:39,840
Speaker 1: and the testimony of another individual who similarly has been

1330
01:04:39,880 --> 01:04:43,960
Speaker 1: proven to have invented falsehoods to justify the barberism of

1331
01:04:44,000 --> 01:04:48,120
Speaker 1: the Israeli assault on Gaza, and so and even you know,

1332
01:04:48,200 --> 01:04:51,520
Speaker 1: the one witness that she gets, he changed his stories

1333
01:04:51,600 --> 01:04:54,680
Speaker 1: multiple times. She ended up violating what was the one

1334
01:04:54,680 --> 01:04:57,120
Speaker 1: thing that Jeffrey Gettlman, the lead author on this report,

1335
01:04:57,160 --> 01:04:59,520
Speaker 1: had told her that you have to have multiple sources

1336
01:05:00,040 --> 01:05:02,720
Speaker 1: to go with the word of this one eye witness.

1337
01:05:03,200 --> 01:05:05,680
Speaker 1: And so, you know, the whole thing is just an

1338
01:05:05,720 --> 01:05:09,680
Speaker 1: absolute mess. And her lack of qualifications here are still

1339
01:05:09,680 --> 01:05:11,800
Speaker 1: the most head scratching thing I can imagine. The last

1340
01:05:12,000 --> 01:05:13,880
Speaker 1: thing that I'll mention here put this next piece up

1341
01:05:13,880 --> 01:05:16,560
Speaker 1: on the screen from set Squirrel, who really, by the way,

1342
01:05:16,880 --> 01:05:20,400
Speaker 1: total credit to this account, who did all of the

1343
01:05:20,440 --> 01:05:24,920
Speaker 1: initial digging to uncover her lack of experience, her previous

1344
01:05:24,920 --> 01:05:28,720
Speaker 1: social media history, etc. Really set off a firestorm. So

1345
01:05:28,880 --> 01:05:34,880
Speaker 1: her nephew. Annat's nephew was the third author of this piece,

1346
01:05:35,600 --> 01:05:40,160
Speaker 1: Adam Sella, who also had apparently only written a couple

1347
01:05:40,200 --> 01:05:43,040
Speaker 1: of prior articles on the subject of food and cooking,

1348
01:05:43,800 --> 01:05:47,600
Speaker 1: to be their lead on the ground reporter on this

1349
01:05:47,720 --> 01:05:53,400
Speaker 1: extraordinarily sensitive piece. The first name on the byline Gettleman.

1350
01:05:53,480 --> 01:05:55,080
Speaker 1: He's the one that I played you the other day

1351
01:05:55,120 --> 01:05:58,040
Speaker 1: who said that I'm not really evidence. Isn't really what

1352
01:05:58,080 --> 01:06:00,360
Speaker 1: I'm doing here, I'm just looking to tell the tell

1353
01:06:00,400 --> 01:06:03,400
Speaker 1: the stories. Apparently he was very little involved in the

1354
01:06:03,440 --> 01:06:06,160
Speaker 1: actual investigation on the ground. It was mostly Adam and

1355
01:06:06,360 --> 01:06:09,720
Speaker 1: a not who are wildly inexperienced. And then you end

1356
01:06:09,800 --> 01:06:12,360
Speaker 1: up with what is it, absolute scandal and melt down

1357
01:06:12,400 --> 01:06:13,480
Speaker 1: happening at the Times right now?

1358
01:06:13,520 --> 01:06:15,280
Speaker 2: Yeah, I mean, well, I read the report and it's

1359
01:06:15,320 --> 01:06:17,960
Speaker 2: like you know, you know, usually when there's this is

1360
01:06:18,000 --> 01:06:21,520
Speaker 2: why it's so difficult when there's what you sound like

1361
01:06:21,560 --> 01:06:24,600
Speaker 2: a monster when you're like questioning claims of widespread rape

1362
01:06:24,680 --> 01:06:27,240
Speaker 2: or whatever. But yeah, look been questioning it since Rolling

1363
01:06:27,280 --> 01:06:29,600
Speaker 2: Stone article came out, so it might as well continue

1364
01:06:29,640 --> 01:06:31,360
Speaker 2: to do it. But I read this and it's like, well,

1365
01:06:31,360 --> 01:06:33,480
Speaker 2: I called all eleven hospitals and they said that they

1366
01:06:33,480 --> 01:06:35,680
Speaker 2: didn't exist. I mean, in my head, it's like, do

1367
01:06:35,680 --> 01:06:37,800
Speaker 2: you even need to keep hunting? Then if we're talking

1368
01:06:37,800 --> 01:06:40,240
Speaker 2: about the claim of widespread and again, I mean, why

1369
01:06:40,240 --> 01:06:42,800
Speaker 2: does this any of it matter? Because these are indelible stories.

1370
01:06:42,800 --> 01:06:44,440
Speaker 2: They get lodged in the mind in which if you

1371
01:06:44,480 --> 01:06:46,439
Speaker 2: ask people on the street, they say it's probably true.

1372
01:06:46,720 --> 01:06:49,160
Speaker 2: And it's one of those where it gets used as

1373
01:06:49,280 --> 01:06:53,000
Speaker 2: justification then for some of the actions by or disproportionate

1374
01:06:53,120 --> 01:06:55,840
Speaker 2: use of force or whatever, you know, by Israeli forces.

1375
01:06:55,840 --> 01:06:57,800
Speaker 2: If we were ask people inside Israeli, probably the too.

1376
01:06:57,840 --> 01:07:01,200
Speaker 2: And it also traces back really to this. I mean,

1377
01:07:01,360 --> 01:07:03,240
Speaker 2: this is the other thing where I almost you know,

1378
01:07:03,360 --> 01:07:05,240
Speaker 2: you again you want to scoff a little bit when

1379
01:07:05,280 --> 01:07:07,880
Speaker 2: you want to look back at every time where rape

1380
01:07:07,920 --> 01:07:10,960
Speaker 2: was actually widespread, you don't have to go looking for it. Okay,

1381
01:07:11,120 --> 01:07:13,640
Speaker 2: go ask anybody in the Congo or go you know,

1382
01:07:13,680 --> 01:07:16,960
Speaker 2: the Democratic Republic of the Congo, where rape genuinely was

1383
01:07:17,320 --> 01:07:19,840
Speaker 2: used as a weapon of war. Go look at the

1384
01:07:19,880 --> 01:07:22,680
Speaker 2: Soviet invasion of Berlin. Like, you don't have to look

1385
01:07:22,720 --> 01:07:24,840
Speaker 2: for it, they will tell you. And the evidence of

1386
01:07:24,880 --> 01:07:27,040
Speaker 2: it all shows up nine months later, and it's horrific.

1387
01:07:27,120 --> 01:07:29,800
Speaker 2: And it's in terms of the things that happened at

1388
01:07:29,800 --> 01:07:32,560
Speaker 2: that time. It's like, if it really was that widespread,

1389
01:07:32,640 --> 01:07:34,680
Speaker 2: then you wouldn't have to even go coax, like what

1390
01:07:34,760 --> 01:07:38,040
Speaker 2: was it? A single individuals and anonymous and then claim

1391
01:07:38,120 --> 01:07:40,520
Speaker 2: doesn't work out. It's like the entire thing, it's just

1392
01:07:41,120 --> 01:07:43,919
Speaker 2: it's just look, you know, October seven was bad enough.

1393
01:07:43,920 --> 01:07:45,720
Speaker 2: Why don't we have to go looking for bogeymen that

1394
01:07:45,760 --> 01:07:48,000
Speaker 2: don't exist? You know, a bunch of people were killed,

1395
01:07:48,040 --> 01:07:51,320
Speaker 2: including kids. Enough, that's it, Like what why? But I

1396
01:07:51,320 --> 01:07:54,160
Speaker 2: mean I think we know why for media purposes and others,

1397
01:07:54,200 --> 01:07:56,280
Speaker 2: And I think that's kind of what I think. That

1398
01:07:56,480 --> 01:07:59,520
Speaker 2: is really what is disturbing about this entire thing.

1399
01:07:59,600 --> 01:08:04,120
Speaker 1: Yeah, there were horrific atrocities that were committed by Hamas

1400
01:08:04,280 --> 01:08:06,920
Speaker 1: against innocent Israelis on October seventh.

1401
01:08:07,120 --> 01:08:08,760
Speaker 3: There is no doubt about that.

1402
01:08:08,760 --> 01:08:12,760
Speaker 1: That is crystal clure on video, crystal clear, right. And

1403
01:08:13,160 --> 01:08:15,720
Speaker 1: I'm not saying there was no rape on that day,

1404
01:08:16,080 --> 01:08:18,600
Speaker 1: but that's not the claim that has been made. The

1405
01:08:18,680 --> 01:08:21,759
Speaker 1: claim is that it was used systematically as a weapon

1406
01:08:21,760 --> 01:08:24,800
Speaker 1: of war, and they just were not able to find

1407
01:08:24,800 --> 01:08:29,280
Speaker 1: the evidence that came anywhere close to backing up that assertion.

1408
01:08:29,960 --> 01:08:32,680
Speaker 1: And at every turn when they run into a roadblock,

1409
01:08:32,800 --> 01:08:35,120
Speaker 1: you know, oh, all the hospitals say that they didn't

1410
01:08:35,120 --> 01:08:37,080
Speaker 1: find it. It's well, well, they probably killed all the

1411
01:08:37,120 --> 01:08:39,839
Speaker 1: women that they raped. Well, okay, what about forensic evidence

1412
01:08:40,080 --> 01:08:42,320
Speaker 1: from you know, the bodies of the women who were

1413
01:08:42,360 --> 01:08:44,640
Speaker 1: slaughdered on that day. Well, you know, there's because of

1414
01:08:44,720 --> 01:08:47,040
Speaker 1: Jewish custom, they were buried quickly, so we didn't collect

1415
01:08:47,040 --> 01:08:48,719
Speaker 1: any of that forensic evidence.

1416
01:08:49,400 --> 01:08:50,760
Speaker 3: Well what about you know, we went to.

1417
01:08:50,720 --> 01:08:53,920
Speaker 1: Talk to these crisis workers, you know, and they won't

1418
01:08:53,960 --> 01:08:56,280
Speaker 1: tell us anything either. Well, it's probably just because they

1419
01:08:56,320 --> 01:08:57,680
Speaker 1: want to protect their patients.

1420
01:08:57,320 --> 01:08:57,719
Speaker 3: Et cetera.

1421
01:08:57,880 --> 01:09:01,280
Speaker 1: There was like they set off with, we have come

1422
01:09:01,320 --> 01:09:04,320
Speaker 1: to this conclusion that this happened, and now we're going

1423
01:09:04,360 --> 01:09:08,240
Speaker 1: to try to backfill in the evidence. And they have

1424
01:09:08,320 --> 01:09:11,040
Speaker 1: this line in Ryan's piece at the intercept, he says,

1425
01:09:11,080 --> 01:09:13,720
Speaker 1: at every turn, when the New York Times reporters ran

1426
01:09:13,800 --> 01:09:19,160
Speaker 1: an obstacle obstacles confirming tips, they turned to anonymous Israeli officials,

1427
01:09:19,760 --> 01:09:23,360
Speaker 1: not the most credible sources or witnesses who had already

1428
01:09:23,360 --> 01:09:26,559
Speaker 1: been interviewed repeatedly in the press. By the way, those

1429
01:09:26,560 --> 01:09:30,160
Speaker 1: witnesses again were caught shifting their stories depending on what

1430
01:09:30,280 --> 01:09:32,240
Speaker 1: outlet they were talking to and what day it was.

1431
01:09:32,800 --> 01:09:35,120
Speaker 1: Months after setting off on their assignment, the reporters found

1432
01:09:35,120 --> 01:09:38,519
Speaker 1: themselves exactly where they had begun, relying overwhelmingly on the

1433
01:09:38,520 --> 01:09:43,920
Speaker 1: word of Israeli officials, soldiers and Zoka workers. Again, that's

1434
01:09:43,960 --> 01:09:46,479
Speaker 1: the group that fabricated forty beheaded babies and a bunch

1435
01:09:46,479 --> 01:09:49,760
Speaker 1: of the other things that have been completely disproven to

1436
01:09:49,880 --> 01:09:52,519
Speaker 1: substantiate their claim that more than thirty bodies of women

1437
01:09:52,520 --> 01:09:55,439
Speaker 1: and girls were discovered with signs of sexual abuse. On

1438
01:09:55,439 --> 01:09:58,120
Speaker 1: the Channel twelve podcast, Sports said, the last remaining piece

1439
01:09:58,120 --> 01:10:00,120
Speaker 1: you need for the story was a solid number from

1440
01:10:00,160 --> 01:10:03,559
Speaker 1: these really authorities about any possible survivors of sexual violence.

1441
01:10:03,800 --> 01:10:05,840
Speaker 1: We have four, and we can stand behind that number.

1442
01:10:05,920 --> 01:10:07,679
Speaker 1: She said she was told by the Ministry of Welfare

1443
01:10:07,680 --> 01:10:08,519
Speaker 1: and social affairs.

1444
01:10:08,920 --> 01:10:10,560
Speaker 3: No details were provided.

1445
01:10:10,800 --> 01:10:13,360
Speaker 1: The Time story ultimately reported there were at least three

1446
01:10:13,400 --> 01:10:16,640
Speaker 1: women and one man who were sexually assaulted and survived,

1447
01:10:16,840 --> 01:10:20,320
Speaker 1: apparently again just based on the word of Israeli officials.

1448
01:10:20,600 --> 01:10:23,439
Speaker 1: There was one particularly revealing anecdote here that I just

1449
01:10:23,479 --> 01:10:27,479
Speaker 1: think really gives away the game. So in that Times

1450
01:10:27,600 --> 01:10:31,800
Speaker 1: piece they sent her a lot of their storytelling around

1451
01:10:31,880 --> 01:10:34,839
Speaker 1: the family of a woman who was murdered on October

1452
01:10:34,880 --> 01:10:40,280
Speaker 1: seventh named gal Abdush, and they claimed in the piece

1453
01:10:40,360 --> 01:10:42,680
Speaker 1: that she had been raped, that her body wore the

1454
01:10:42,720 --> 01:10:45,880
Speaker 1: signs of having been raped. There had been some video

1455
01:10:45,960 --> 01:10:49,040
Speaker 1: that circulated of her that where she had, you know,

1456
01:10:49,080 --> 01:10:51,080
Speaker 1: after she'd been slaughtered, she didn't have pants on, and

1457
01:10:51,080 --> 01:10:53,240
Speaker 1: so that's basically what they were basing all of this on.

1458
01:10:53,920 --> 01:10:55,200
Speaker 3: And a third of the Time.

1459
01:10:55,080 --> 01:10:58,800
Speaker 1: Story details this story of what they're calling the quote

1460
01:10:58,840 --> 01:11:01,599
Speaker 1: woman in the black dress. Well, after the report comes out,

1461
01:11:01,680 --> 01:11:04,960
Speaker 1: the family is furious because the Times reporters they're saying,

1462
01:11:05,280 --> 01:11:05,879
Speaker 1: you never.

1463
01:11:05,720 --> 01:11:06,960
Speaker 3: Told us this was about rape.

1464
01:11:07,040 --> 01:11:10,000
Speaker 1: You just said this was about October seventh, and remembering golf,

1465
01:11:10,439 --> 01:11:13,439
Speaker 1: they actually have phone messages that they believe, you know,

1466
01:11:13,600 --> 01:11:16,200
Speaker 1: undercut the idea that there was time for her to

1467
01:11:16,439 --> 01:11:18,880
Speaker 1: have been raped. Her family came out aggressively and said

1468
01:11:18,880 --> 01:11:21,280
Speaker 1: this is a lie. You know, the media needs to

1469
01:11:21,320 --> 01:11:25,400
Speaker 1: stop spreading this, etc. So that really fell apart. But

1470
01:11:25,640 --> 01:11:28,639
Speaker 1: Gal comes up in Ryan's piece here as well, where

1471
01:11:29,160 --> 01:11:32,920
Speaker 1: that video of her that they needed to make central

1472
01:11:32,920 --> 01:11:35,400
Speaker 1: to the piece. The person who was the owner of

1473
01:11:35,439 --> 01:11:39,120
Speaker 1: that video didn't really want to cooperate with them, and

1474
01:11:39,800 --> 01:11:43,559
Speaker 1: the owner says that they called me. That would be Adam,

1475
01:11:43,600 --> 01:11:47,519
Speaker 1: and Anon called me again and again and explained how

1476
01:11:47,600 --> 01:11:53,040
Speaker 1: important getting that video is for Israeli hasbara, which is

1477
01:11:53,280 --> 01:11:58,439
Speaker 1: their term for propaganda. So a New York Times suppose

1478
01:11:58,479 --> 01:12:01,400
Speaker 1: a journalist telling this person, you have to cooperate with us,

1479
01:12:01,520 --> 01:12:04,200
Speaker 1: not because it's in the interest of journalism and exposing

1480
01:12:04,240 --> 01:12:06,640
Speaker 1: the truth and the story that we'll know, because this

1481
01:12:06,680 --> 01:12:11,640
Speaker 1: will serve the interest of Israeli government propaganda. That is

1482
01:12:12,160 --> 01:12:15,479
Speaker 1: as much of a clear cut admission of what was

1483
01:12:15,520 --> 01:12:18,000
Speaker 1: going on here as you could possibly get.

1484
01:12:18,680 --> 01:12:18,880
Speaker 3: You know.

1485
01:12:18,920 --> 01:12:22,799
Speaker 1: The Times is in their comment to Ryan here standing

1486
01:12:22,800 --> 01:12:26,679
Speaker 1: by the story and not put out a statement this morning.

1487
01:12:26,840 --> 01:12:28,640
Speaker 1: She says, I'm thankful to the New York Times for

1488
01:12:28,680 --> 01:12:30,960
Speaker 1: standing behind the important stories we have published. The Times

1489
01:12:30,960 --> 01:12:33,000
Speaker 1: and just stand behind me, but also behind many women

1490
01:12:33,040 --> 01:12:35,759
Speaker 1: whose stories need to be told. The recent attacks against

1491
01:12:35,800 --> 01:12:38,320
Speaker 1: me will not deter me from continuing my work. And

1492
01:12:38,360 --> 01:12:41,280
Speaker 1: she's got in there. A screenshot of Times International editor

1493
01:12:41,280 --> 01:12:44,640
Speaker 1: Phil Pan saying in a statement to Ryan and the

1494
01:12:44,680 --> 01:12:46,280
Speaker 1: Interstep that he stands by.

1495
01:12:46,200 --> 01:12:47,240
Speaker 3: The work quote. Ms.

1496
01:12:47,240 --> 01:12:49,879
Speaker 1: Schwartz was part of a rigorous reporting and editing process.

1497
01:12:50,160 --> 01:12:53,160
Speaker 1: She made valuable contributions. We saw no evidence of bias

1498
01:12:53,200 --> 01:12:55,320
Speaker 1: in her work. We remain confident in the accuracy of

1499
01:12:55,320 --> 01:12:57,639
Speaker 1: our reporting and stand by the team's investigation. But as

1500
01:12:57,640 --> 01:13:00,439
Speaker 1: we have said, her likes of official of a defensive

1501
01:13:00,479 --> 01:13:03,120
Speaker 1: and opinionated social media posts predating her work with US

1502
01:13:03,479 --> 01:13:08,639
Speaker 1: are unacceptable as a reminder and not liked genocidal posts

1503
01:13:08,640 --> 01:13:12,400
Speaker 1: and one's calling for propaganda to be used to conflate

1504
01:13:12,560 --> 01:13:16,840
Speaker 1: Hamas with isis. She also backed the Beheaded Babies hoax

1505
01:13:16,920 --> 01:13:19,280
Speaker 1: in her social media posts. She had never worked as

1506
01:13:19,320 --> 01:13:22,160
Speaker 1: a journalist before, she was like a small time film

1507
01:13:22,160 --> 01:13:25,800
Speaker 1: maker and previously had served in the IDF in an

1508
01:13:25,800 --> 01:13:26,639
Speaker 1: intelligence unit.

1509
01:13:26,760 --> 01:13:30,400
Speaker 3: So there you go. Extraordinary, extraordinary situation.

1510
01:13:32,880 --> 01:13:34,400
Speaker 2: All right, we got two quick stories that we want

1511
01:13:34,439 --> 01:13:37,080
Speaker 2: to touch on. Let's move on. This is very political

1512
01:13:37,080 --> 01:13:39,559
Speaker 2: consequences kind of bringing it back here, let's go ahead

1513
01:13:39,560 --> 01:13:41,679
Speaker 2: and put this up there on the screen. Some major

1514
01:13:41,760 --> 01:13:44,880
Speaker 2: news from the American Values twenty twenty four pack, which

1515
01:13:44,880 --> 01:13:49,080
Speaker 2: is supporting RFK Junior. The number of signatures collected in

1516
01:13:49,120 --> 01:13:51,640
Speaker 2: the state of Georgia and in the state of Arizona

1517
01:13:51,880 --> 01:13:55,160
Speaker 2: now passed the threshold that will be putting RFK Junior's

1518
01:13:55,240 --> 01:13:58,519
Speaker 2: name on the ballot as an independent. That is very

1519
01:13:58,560 --> 01:14:01,639
Speaker 2: significant because obviously those are two of the most important

1520
01:14:01,640 --> 01:14:05,160
Speaker 2: states for the Biden electoral College victory back in twenty twenty,

1521
01:14:05,320 --> 01:14:09,320
Speaker 2: where a matter of only twenty thousand votes literally combined

1522
01:14:09,360 --> 01:14:11,880
Speaker 2: in both states would have swung everything combined some of

1523
01:14:11,920 --> 01:14:14,320
Speaker 2: the chaos that we're seeing right now with uncommitted and

1524
01:14:14,400 --> 01:14:16,960
Speaker 2: all of that, and he is in very very serious trouble.

1525
01:14:17,080 --> 01:14:19,639
Speaker 2: Not to mention though, that RFK Junior proven to draw

1526
01:14:19,680 --> 01:14:22,800
Speaker 2: some votes away from Trump as well. Same time, look

1527
01:14:22,800 --> 01:14:25,759
Speaker 2: at Michigan where we just had that primary. He's about

1528
01:14:25,760 --> 01:14:28,080
Speaker 2: seventy six percent of the way there, likely probably even

1529
01:14:28,120 --> 01:14:31,040
Speaker 2: more after the chaos that's been happening twenty two, six

1530
01:14:31,160 --> 01:14:33,400
Speaker 2: hundred and seventy one. In the state of South Carolina,

1531
01:14:33,439 --> 01:14:35,639
Speaker 2: he looks to be about sixty percent the other updates

1532
01:14:35,640 --> 01:14:38,640
Speaker 2: that they have are Maryland and Massachusetts coming soon. I

1533
01:14:38,680 --> 01:14:41,320
Speaker 2: believe in the state of Virginia that is being launched

1534
01:14:41,360 --> 01:14:43,679
Speaker 2: soon as well. So RFK Junior did make a commitment

1535
01:14:43,720 --> 01:14:45,160
Speaker 2: on the show. He said he's going to be on

1536
01:14:45,200 --> 01:14:48,200
Speaker 2: all fifty states. We'll see. I think that's incredibly difficult.

1537
01:14:48,280 --> 01:14:50,760
Speaker 2: But Crystal, if his goal is at the least make

1538
01:14:50,800 --> 01:14:54,080
Speaker 2: a statement in battleground states Georgia and Arizona, is enough.

1539
01:14:54,200 --> 01:14:56,360
Speaker 2: I mean, that's enough already to be able to draw

1540
01:14:56,479 --> 01:15:00,240
Speaker 2: enough enough votes in order to significantly change things. Let's

1541
01:15:00,240 --> 01:15:02,640
Speaker 2: put the next one, please up on the screen just

1542
01:15:02,680 --> 01:15:05,320
Speaker 2: soever you can see. They have a New York Times

1543
01:15:05,320 --> 01:15:09,080
Speaker 2: Ciena poll that they flashed that shows Biden at thirty

1544
01:15:09,080 --> 01:15:12,879
Speaker 2: three percent, Trump at thirty three percent, Kennedy at twenty

1545
01:15:13,200 --> 01:15:16,759
Speaker 2: six percent. So right up there, you know, shouting distance

1546
01:15:16,920 --> 01:15:18,840
Speaker 2: of these candidates.

1547
01:15:18,400 --> 01:15:19,799
Speaker 3: Not as specifically in Arizona.

1548
01:15:19,880 --> 01:15:24,799
Speaker 2: Exactly specifically in Arizona. I mean, that is an extraordinary amount.

1549
01:15:24,880 --> 01:15:27,960
Speaker 2: Doesn't necessarily fit with what we've seen in some others.

1550
01:15:28,040 --> 01:15:30,679
Speaker 2: Let's go to the next one that actually shows every

1551
01:15:31,040 --> 01:15:34,880
Speaker 2: major battleground state and it includes not only Trump, but

1552
01:15:34,960 --> 01:15:39,160
Speaker 2: it includes Biden. RFK Junior Cornell West and Jill Stein,

1553
01:15:39,240 --> 01:15:42,160
Speaker 2: so like a five way matchup some of them. Noteworthy

1554
01:15:42,200 --> 01:15:45,240
Speaker 2: ones that I see is that the Trump name is

1555
01:15:45,280 --> 01:15:48,160
Speaker 2: winning in all of them, so that kind of matters

1556
01:15:48,280 --> 01:15:51,960
Speaker 2: between Nevada and North Carolina, Georgia, Pennsylvania and Nevada or sorry, Michigan,

1557
01:15:52,000 --> 01:15:56,759
Speaker 2: Arizona and Wisconsin, and the margin of victory very much.

1558
01:15:56,800 --> 01:16:00,599
Speaker 2: There includes some problems for Biden that we can see

1559
01:16:00,600 --> 01:16:05,400
Speaker 2: directly amongst Kennedy pulling anywhere between five to eight percent

1560
01:16:05,800 --> 01:16:07,960
Speaker 2: between all of these. So if we think about the

1561
01:16:08,040 --> 01:16:10,600
Speaker 2: variable results, it obviously kind of makes sense. People is

1562
01:16:10,600 --> 01:16:13,200
Speaker 2: probably still getting to know you know, RFK Junior and others.

1563
01:16:13,200 --> 01:16:16,320
Speaker 2: But Crystal, if he's able to get ballot access, especially

1564
01:16:16,360 --> 01:16:18,160
Speaker 2: in some of these battle rounds, we already know he's

1565
01:16:18,160 --> 01:16:20,240
Speaker 2: going to be a very consequential player. That's it, no

1566
01:16:20,360 --> 01:16:21,000
Speaker 2: question about it.

1567
01:16:21,280 --> 01:16:24,280
Speaker 1: Yeah, even if the results do look more like that.

1568
01:16:24,680 --> 01:16:27,240
Speaker 1: A second group of polls, which I think is probably

1569
01:16:27,240 --> 01:16:30,400
Speaker 1: more realistic, just because we know third party support usually

1570
01:16:30,439 --> 01:16:32,840
Speaker 1: declines as you get towards election day and people sort

1571
01:16:32,840 --> 01:16:34,240
Speaker 1: of sit with, Okay, well it's going to be one

1572
01:16:34,240 --> 01:16:35,880
Speaker 1: of these dud dudes. So you know, I don't want

1573
01:16:35,880 --> 01:16:38,200
Speaker 1: to quote unquote throw my vote away is how a

1574
01:16:38,200 --> 01:16:40,200
Speaker 1: lot of people think of it come to election day.

1575
01:16:40,520 --> 01:16:44,439
Speaker 1: But even if we're talking about six percentage points, who

1576
01:16:44,479 --> 01:16:48,920
Speaker 1: that six percentage points comes from predominantly could be the

1577
01:16:49,080 --> 01:16:50,120
Speaker 1: difference maker.

1578
01:16:50,000 --> 01:16:51,400
Speaker 3: In these key states.

1579
01:16:51,680 --> 01:16:54,519
Speaker 1: So yeah, if you are going to be on the ballot,

1580
01:16:54,680 --> 01:16:58,519
Speaker 1: even in Georgia and Arizona, that could be a significant problem. Now,

1581
01:16:58,640 --> 01:17:01,759
Speaker 1: I do think if he only able to achieve ballot

1582
01:17:01,760 --> 01:17:04,559
Speaker 1: access in a handful of states, that is going to

1583
01:17:04,600 --> 01:17:07,160
Speaker 1: significantly diminish his support because people will be able to

1584
01:17:07,160 --> 01:17:09,200
Speaker 1: see like, oh, well, you know, this guy's not even

1585
01:17:09,200 --> 01:17:10,480
Speaker 1: the ballot most places.

1586
01:17:10,560 --> 01:17:13,080
Speaker 3: I don't really want to you know, I don't see he.

1587
01:17:12,960 --> 01:17:15,600
Speaker 1: Doesn't have a shot to win, Like it's basically impossible

1588
01:17:15,600 --> 01:17:16,760
Speaker 1: for him to be able to win.

1589
01:17:17,000 --> 01:17:18,519
Speaker 3: So I'm not sure if I'm gonna stick with him.

1590
01:17:18,560 --> 01:17:21,000
Speaker 1: But there's enough people who are so upset with these

1591
01:17:21,040 --> 01:17:23,840
Speaker 1: other two choices that I think they'll be willing to

1592
01:17:24,040 --> 01:17:26,280
Speaker 1: vote for him, regardless of whether they really believe that

1593
01:17:26,320 --> 01:17:28,559
Speaker 1: he's got a path to victory, just as a protest

1594
01:17:28,960 --> 01:17:32,439
Speaker 1: more than anything. Same with Cornell West and Jill Stein,

1595
01:17:32,920 --> 01:17:35,320
Speaker 1: I think there are significantly more questions about whether Cornell

1596
01:17:35,360 --> 01:17:37,400
Speaker 1: West will be on the ballot in these states versus

1597
01:17:37,479 --> 01:17:40,000
Speaker 1: Jill Stein, who with the Green Party should have pretty

1598
01:17:40,040 --> 01:17:45,880
Speaker 1: significant ballot access. So you know, there's it's very, very

1599
01:17:46,040 --> 01:17:49,719
Speaker 1: significant that even if it's only a handful of swing states,

1600
01:17:49,760 --> 01:17:51,160
Speaker 1: that he could be on the ballot in some of

1601
01:17:51,200 --> 01:17:51,719
Speaker 1: these places.

1602
01:17:51,760 --> 01:17:53,720
Speaker 2: It's interesting to me too, you know. And every time

1603
01:17:53,760 --> 01:17:56,280
Speaker 2: he sticks to this just basic like some of the

1604
01:17:56,320 --> 01:18:00,360
Speaker 2: basics of politics, things that people all think I find that,

1605
01:18:00,400 --> 01:18:03,040
Speaker 2: you know, I A'll see it organically everywhere. So for example,

1606
01:18:03,040 --> 01:18:05,599
Speaker 2: after mccone'll stepped down, he just says, Mitch McConnell's serve

1607
01:18:05,680 --> 01:18:07,960
Speaker 2: forty years. Part of public service is knowing when to

1608
01:18:08,040 --> 01:18:10,280
Speaker 2: usher in a new generation. It's time to promote leaders

1609
01:18:10,280 --> 01:18:12,960
Speaker 2: in DC who don't contract a count out of military

1610
01:18:12,960 --> 01:18:15,880
Speaker 2: contractors or pushes deeper into foreign policy contract you know,

1611
01:18:15,920 --> 01:18:18,799
Speaker 2: it's like we need representation to will prioritize American wellness

1612
01:18:18,800 --> 01:18:21,519
Speaker 2: over everyone else. Yeah, it definitely does sound a little

1613
01:18:21,560 --> 01:18:24,679
Speaker 2: bit like a politician. But that's a very popular sentiment, right.

1614
01:18:24,880 --> 01:18:27,519
Speaker 2: It's one of those where people hate, you know, especially

1615
01:18:27,520 --> 01:18:31,160
Speaker 2: Trump and Biden. They hate the agism, yeah, RFGU or sorry,

1616
01:18:31,240 --> 01:18:35,200
Speaker 2: they hate their age and with RFK, yeah, he's only

1617
01:18:35,240 --> 01:18:37,680
Speaker 2: seventy something years he's seventy years old, but he just

1618
01:18:37,720 --> 01:18:40,479
Speaker 2: looks a hell of a lot younger compared to these

1619
01:18:40,520 --> 01:18:43,080
Speaker 2: other two geriatrics who are in the chair, So I

1620
01:18:43,080 --> 01:18:45,760
Speaker 2: could see it being potent. So anyway, we're going to

1621
01:18:45,760 --> 01:18:48,720
Speaker 2: continue to cover the ballot access just because eighty is

1622
01:18:48,760 --> 01:18:51,519
Speaker 2: going to be so consequential in the election. And if

1623
01:18:51,520 --> 01:18:53,200
Speaker 2: he continues to be able to get on the ground

1624
01:18:53,400 --> 01:18:56,720
Speaker 2: in the ballots in these battleground stay specifically, then you know,

1625
01:18:56,760 --> 01:18:59,840
Speaker 2: regardless you know, of whether he is on the ballot

1626
01:18:59,840 --> 01:19:02,639
Speaker 2: now nationally or not, it's going to have some impact,

1627
01:19:02,720 --> 01:19:05,040
Speaker 2: as you said, even if it's three, six, eight or

1628
01:19:05,080 --> 01:19:09,760
Speaker 2: whatever percent, so very very impactful. Finally, let's put this

1629
01:19:09,880 --> 01:19:12,720
Speaker 2: up there for our fund segment. This is this is well.

1630
01:19:12,760 --> 01:19:15,200
Speaker 2: I guess it could be fun, particularly which way that

1631
01:19:15,240 --> 01:19:19,840
Speaker 2: you want to construe it. Wendy's under major fire for

1632
01:19:20,240 --> 01:19:24,280
Speaker 2: floating then retracting, but also still kind of sticking to

1633
01:19:24,360 --> 01:19:30,160
Speaker 2: what they are calling their dynamic pricing strategy aka surge pricing.

1634
01:19:30,280 --> 01:19:34,600
Speaker 2: This all goes back to two weeks ago. The CEO

1635
01:19:35,000 --> 01:19:38,559
Speaker 2: of Wendy's Who's New, Kirk Tanner, said that Wendy's quote

1636
01:19:38,560 --> 01:19:43,840
Speaker 2: would begin testing more enhanced features like dynamic pricing as

1637
01:19:43,920 --> 01:19:47,679
Speaker 2: early as next year. To do so, Wendy's has already

1638
01:19:47,680 --> 01:19:52,719
Speaker 2: invested twenty million dollars to roll out AI enabled digital

1639
01:19:52,800 --> 01:19:56,240
Speaker 2: menu boards in their restaurants and add ten million dollars

1640
01:19:56,240 --> 01:20:00,439
Speaker 2: through the effort globally. What this will entail basically after

1641
01:20:00,479 --> 01:20:05,240
Speaker 2: they showed is akin to the Uber surge pricing strategy Crystal,

1642
01:20:05,479 --> 01:20:08,720
Speaker 2: where dynamic pricing is code for when there's a lot

1643
01:20:08,760 --> 01:20:10,840
Speaker 2: of people in the restaurant, you drive the price up,

1644
01:20:11,040 --> 01:20:12,719
Speaker 2: and when there's not a lot of people in the restaurant,

1645
01:20:12,800 --> 01:20:15,120
Speaker 2: you drive the price down. Now, it's one of those

1646
01:20:15,240 --> 01:20:17,759
Speaker 2: I think it makes sense for Uber drivers. But whenever

1647
01:20:17,800 --> 01:20:20,600
Speaker 2: we're talking about food, really what that means is just

1648
01:20:20,640 --> 01:20:22,559
Speaker 2: because of the constraints of a lot of people's lives,

1649
01:20:22,760 --> 01:20:26,200
Speaker 2: that whenever is most convenient or after work or for dinner,

1650
01:20:26,240 --> 01:20:28,760
Speaker 2: whenever people are going out to eat fast food, that

1651
01:20:28,880 --> 01:20:31,599
Speaker 2: is when it's actually going to cost the most, whenever

1652
01:20:31,640 --> 01:20:34,320
Speaker 2: you're trying to go to Wendy's. And it's pretty dystopian

1653
01:20:34,360 --> 01:20:37,599
Speaker 2: because AI, it's not even a human based model, it's

1654
01:20:37,640 --> 01:20:41,120
Speaker 2: an AI based model to figure out whenever the most

1655
01:20:41,160 --> 01:20:44,280
Speaker 2: people are in the restaurant to try and squeeze as

1656
01:20:44,400 --> 01:20:48,640
Speaker 2: many dollars out of what is already the most successible

1657
01:20:48,720 --> 01:20:52,120
Speaker 2: dining option for the vast majority of Americans. Okay, if

1658
01:20:52,160 --> 01:20:54,880
Speaker 2: a Michelin Star restaurant does this whatever, right, mostly people

1659
01:20:55,320 --> 01:20:58,920
Speaker 2: can't afford it. But Wendy's Burger King, you know, McDonald's,

1660
01:20:59,040 --> 01:21:00,720
Speaker 2: this is where most people actually do we go out

1661
01:21:00,720 --> 01:21:03,040
Speaker 2: to eat you for a restaurant or to take a break,

1662
01:21:03,040 --> 01:21:04,639
Speaker 2: and they don't want to cook any food. I wouldn't

1663
01:21:04,680 --> 01:21:06,960
Speaker 2: recommend it from a health perspective, but hey, Wendy is

1664
01:21:06,960 --> 01:21:09,400
Speaker 2: actually pretty good, and it's one of those where you

1665
01:21:09,439 --> 01:21:12,560
Speaker 2: can just see how this is the latest strategy squeeze

1666
01:21:12,600 --> 01:21:15,600
Speaker 2: every single dime there is of disposable income out of

1667
01:21:15,600 --> 01:21:16,439
Speaker 2: American's pockets.

1668
01:21:16,560 --> 01:21:18,679
Speaker 1: It's just amazing how these people will say these things

1669
01:21:18,720 --> 01:21:20,200
Speaker 1: in public and not even think.

1670
01:21:20,000 --> 01:21:22,479
Speaker 3: About the fact that, like, we can hear you.

1671
01:21:22,400 --> 01:21:25,680
Speaker 1: On these earnings calls, and you know, you have no

1672
01:21:25,800 --> 01:21:28,879
Speaker 1: perception of how people are going to take your idea

1673
01:21:29,040 --> 01:21:32,200
Speaker 1: of like we're going to use AI to gouge you

1674
01:21:32,400 --> 01:21:36,680
Speaker 1: as much as we possibly can. And it fits not

1675
01:21:36,800 --> 01:21:39,720
Speaker 1: just with like the uber serge pricing, which even at

1676
01:21:39,720 --> 01:21:41,479
Speaker 1: times I mean they've got in trouble for that at

1677
01:21:41,479 --> 01:21:44,120
Speaker 1: times too, when there's been like well, and also there

1678
01:21:44,120 --> 01:21:45,719
Speaker 1: have been times when they have been like a mass

1679
01:21:45,720 --> 01:21:48,080
Speaker 1: shooting or a natural disaster or something, people trying to

1680
01:21:48,080 --> 01:21:51,280
Speaker 1: flee the scene and they're charging two hundred dollars or

1681
01:21:51,320 --> 01:21:52,960
Speaker 1: whatever to be able.

1682
01:21:52,720 --> 01:21:55,280
Speaker 3: To escape to safety. So they've even.

1683
01:21:55,120 --> 01:21:57,840
Speaker 1: Come under fire for surge pricing, even though that's been

1684
01:21:57,840 --> 01:22:01,559
Speaker 1: sort of like accepted in their there have been other

1685
01:22:01,600 --> 01:22:04,800
Speaker 1: instances too of airlines trying to do this where they've

1686
01:22:04,800 --> 01:22:08,040
Speaker 1: come under fire as well. So you know, this doesn't

1687
01:22:08,080 --> 01:22:11,439
Speaker 1: go over well oftentimes with consumers when you try to

1688
01:22:11,479 --> 01:22:14,400
Speaker 1: do this. But yeah, they'll just admit, like we're going

1689
01:22:14,479 --> 01:22:17,040
Speaker 1: to use technology to price gouge you as much as possible.

1690
01:22:17,040 --> 01:22:19,599
Speaker 1: It reminds me of the Kellogg's CEO oh yeah, that

1691
01:22:19,640 --> 01:22:21,200
Speaker 1: we had on the other day that was like, we're

1692
01:22:21,200 --> 01:22:24,679
Speaker 1: going to push cereal for dinner and even CNBC hosts

1693
01:22:24,760 --> 01:22:28,200
Speaker 1: was like, I'm not sure that that's really appropriate, and

1694
01:22:28,320 --> 01:22:30,040
Speaker 1: he just leaned into it and he was like, no,

1695
01:22:30,160 --> 01:22:31,720
Speaker 1: I think it's a great idea and we're seeing this

1696
01:22:31,800 --> 01:22:34,600
Speaker 1: market share and blah blah blah. They're so disconnected that

1697
01:22:34,640 --> 01:22:37,640
Speaker 1: they have no idea, the way that their words are

1698
01:22:37,720 --> 01:22:41,360
Speaker 1: ultimately going to land. We saw this also with all

1699
01:22:41,400 --> 01:22:43,400
Speaker 1: of the there are a bunch of CEOs that, you know,

1700
01:22:43,560 --> 01:22:46,000
Speaker 1: especially at the peak of inflation, we're just out and

1701
01:22:46,000 --> 01:22:49,120
Speaker 1: out talking about greedflation and how they could use the

1702
01:22:49,160 --> 01:22:51,800
Speaker 1: excuse of inflation to continue to hike up prices. So

1703
01:22:51,880 --> 01:22:54,280
Speaker 1: this whole inflation situation was no big deal for them,

1704
01:22:54,320 --> 01:22:57,800
Speaker 1: and they could still have maximum profit margins. So they'll

1705
01:22:57,840 --> 01:22:59,639
Speaker 1: just admit it out in the open what.

1706
01:22:59,600 --> 01:23:00,160
Speaker 3: They're up to.

1707
01:23:00,360 --> 01:23:03,240
Speaker 1: Now, their backlash to this was so significant that they

1708
01:23:03,280 --> 01:23:06,120
Speaker 1: had to completely disavow it. First, they came out with

1709
01:23:06,160 --> 01:23:09,920
Speaker 1: a sort of like, you know, statement justifying it, saying, oh,

1710
01:23:09,920 --> 01:23:12,320
Speaker 1: this is being misconstrued, et cetera, et cetera. But they

1711
01:23:12,360 --> 01:23:16,719
Speaker 1: finally were first forced to specifically disavow surge pricing, saying, quote,

1712
01:23:16,760 --> 01:23:18,840
Speaker 1: we didn't use that phrase, nor do we plan to

1713
01:23:18,880 --> 01:23:20,520
Speaker 1: implement that practice.

1714
01:23:20,920 --> 01:23:23,720
Speaker 3: So apparently the public backlash at least in the short

1715
01:23:23,800 --> 01:23:24,960
Speaker 3: term worked here for it.

1716
01:23:25,120 --> 01:23:28,080
Speaker 2: Yes see, right, because even if they're offering let's say,

1717
01:23:28,200 --> 01:23:31,360
Speaker 2: like deals at certain times that don't exist at other times,

1718
01:23:31,360 --> 01:23:33,559
Speaker 2: there's still some other sketchest and I would not put

1719
01:23:33,560 --> 01:23:35,760
Speaker 2: it past them in terms of what they're actually trying

1720
01:23:35,760 --> 01:23:39,639
Speaker 2: to do. We also wanted to highlight insane corruption story

1721
01:23:39,640 --> 01:23:41,280
Speaker 2: out of the state of California, and let's put this

1722
01:23:41,400 --> 01:23:44,360
Speaker 2: up there on the screen, which has they said, like

1723
01:23:44,360 --> 01:23:46,840
Speaker 2: pay hire a minimum wage unless you're friends with Gavin Newsom,

1724
01:23:46,880 --> 01:23:49,719
Speaker 2: which is a great headline. Basically, California has a minimum

1725
01:23:49,720 --> 01:23:53,240
Speaker 2: wage for fast food restaurants. It's about to go into effect,

1726
01:23:53,320 --> 01:23:56,280
Speaker 2: twenty dollars per hour. We're like, oh, okay, interesting, well,

1727
01:23:57,120 --> 01:24:01,520
Speaker 2: except that the law has quote an exception for chains

1728
01:24:01,680 --> 01:24:06,840
Speaker 2: that bake bread and sell it as a standalone item. Interesting.

1729
01:24:07,240 --> 01:24:10,559
Speaker 2: So it turns out there's only one franchise in the

1730
01:24:10,600 --> 01:24:15,040
Speaker 2: state that qualifies, and it's Panera Bread, who has a

1731
01:24:15,120 --> 01:24:19,000
Speaker 2: franchisee in California who is one of the closest friends

1732
01:24:19,360 --> 01:24:23,360
Speaker 2: to California Governor Gavin Newsom. His name is Greg Flynn. Quote,

1733
01:24:23,360 --> 01:24:27,240
Speaker 2: the largest restaurant franchise franchisee in the US, if not

1734
01:24:27,320 --> 01:24:30,200
Speaker 2: the world, gave hundreds of thousands of dollars to the

1735
01:24:30,240 --> 01:24:33,760
Speaker 2: Newsom election. Not only that has a business connection with

1736
01:24:33,800 --> 01:24:37,840
Speaker 2: Gavinusom going back to twenty fourteen when he personally bought

1737
01:24:37,840 --> 01:24:41,639
Speaker 2: a piece of property that was managed by Gavin Newsom's

1738
01:24:41,800 --> 01:24:46,040
Speaker 2: hospitality company. And it says that the bread exemption is

1739
01:24:46,120 --> 01:24:50,080
Speaker 2: so narrowly tailored that it doesn't even include crystal bagels

1740
01:24:50,360 --> 01:24:54,880
Speaker 2: or croissants, meaning Panera is the only chain by the

1741
01:24:55,000 --> 01:24:59,200
Speaker 2: largest number in California that will benefit from this exemption.

1742
01:24:59,520 --> 01:25:04,320
Speaker 2: So he basically raised prices, minimum wage prices for McDonald's,

1743
01:25:04,360 --> 01:25:08,040
Speaker 2: for all these other places. Yeah, and had a specific

1744
01:25:08,080 --> 01:25:10,759
Speaker 2: carve out written just for freaking Panera bread.

1745
01:25:11,160 --> 01:25:14,639
Speaker 1: Okay, incredible, that's nuts now, of course they Oh no,

1746
01:25:14,720 --> 01:25:15,800
Speaker 1: we had nothing to do.

1747
01:25:15,760 --> 01:25:16,840
Speaker 3: With this is a corruption.

1748
01:25:17,080 --> 01:25:22,120
Speaker 1: Come on, give me another explanation. Explain how this makes

1749
01:25:22,200 --> 01:25:27,160
Speaker 1: any sense outside of just out and out direct corruption.

1750
01:25:27,600 --> 01:25:28,920
Speaker 3: And it's far from.

1751
01:25:28,720 --> 01:25:32,640
Speaker 1: The first time that Gavin Newsom has caved to his

1752
01:25:32,760 --> 01:25:36,160
Speaker 1: big donors in the state, whether it is you know,

1753
01:25:36,720 --> 01:25:39,439
Speaker 1: the Hollywood donors and siding with them on a variety

1754
01:25:39,439 --> 01:25:41,800
Speaker 1: of things, or the tech donors. He sided with them

1755
01:25:41,840 --> 01:25:45,840
Speaker 1: specifically over some labor pushes, in particular with regard to

1756
01:25:45,960 --> 01:25:50,439
Speaker 1: automated driving in the truck industry as one example. He's

1757
01:25:50,560 --> 01:25:53,960
Speaker 1: the one who really was behind the scenes making sure

1758
01:25:54,200 --> 01:25:56,760
Speaker 1: that single payer health care never came up. He's got

1759
01:25:56,760 --> 01:25:59,120
Speaker 1: a bunch of like health insurance donors, he's got to

1760
01:25:59,160 --> 01:26:02,519
Speaker 1: worry about their So ultimately, when it comes down to it,

1761
01:26:02,600 --> 01:26:05,360
Speaker 1: when you ask, like what is Gavin Newsom's ideology, this

1762
01:26:05,439 --> 01:26:08,200
Speaker 1: is it. He will do enough to like pain himself

1763
01:26:08,200 --> 01:26:12,280
Speaker 1: in the progressive of banner or wave that flag or whatever.

1764
01:26:12,680 --> 01:26:15,799
Speaker 1: But if those values come in conflict with the donor class,

1765
01:26:15,920 --> 01:26:19,280
Speaker 1: he's with the donor class every single time, every day

1766
01:26:19,439 --> 01:26:22,320
Speaker 1: of the week. So it's an amazing example just to

1767
01:26:22,360 --> 01:26:23,920
Speaker 1: give people back to I think we cover this here

1768
01:26:23,920 --> 01:26:26,920
Speaker 1: at the time. It's actually quite incredible what they've done

1769
01:26:26,960 --> 01:26:30,519
Speaker 1: in California. It's not an out and out minimum wage law.

1770
01:26:30,880 --> 01:26:35,639
Speaker 1: This was the result of a sectoral bargaining process, which

1771
01:26:35,680 --> 01:26:37,720
Speaker 1: is something that is done in a lot of other

1772
01:26:37,800 --> 01:26:40,559
Speaker 1: countries and done in a limited extent here, sort of

1773
01:26:40,600 --> 01:26:42,280
Speaker 1: like in the auto industry with the Big three. But

1774
01:26:42,680 --> 01:26:44,920
Speaker 1: the idea is that you have the s board that

1775
01:26:44,960 --> 01:26:48,000
Speaker 1: represents the fast food chains and only applies to large

1776
01:26:48,040 --> 01:26:49,960
Speaker 1: fast food chains. We're not talking about little mom and

1777
01:26:49,960 --> 01:26:53,760
Speaker 1: pop whatever, large fast food chains. Workers, labor unions like

1778
01:26:53,800 --> 01:26:56,080
Speaker 1: all the stakeholders, and they negotiate this deal, and the

1779
01:26:56,080 --> 01:27:00,000
Speaker 1: benefit of sectual bargaining is then you have uniform standards

1780
01:27:00,080 --> 01:27:03,120
Speaker 1: across the industry, you have a mechanism by which workers

1781
01:27:03,200 --> 01:27:05,360
Speaker 1: interests can be represented so that you have a genuine

1782
01:27:05,400 --> 01:27:08,719
Speaker 1: given take here, which you know is a really good

1783
01:27:08,720 --> 01:27:11,759
Speaker 1: thing and very beneficial I think for everybody involved, because

1784
01:27:11,760 --> 01:27:13,839
Speaker 1: also if you're those restaurants, then that means there's an

1785
01:27:13,960 --> 01:27:16,960
Speaker 1: even playing field, right, you know, your competitors are also

1786
01:27:17,000 --> 01:27:19,720
Speaker 1: having to pay those additional labor costs, and so it

1787
01:27:19,800 --> 01:27:23,720
Speaker 1: sort of makes things even across the board unless you

1788
01:27:23,760 --> 01:27:25,320
Speaker 1: have a gigantic carve out.

1789
01:27:25,960 --> 01:27:27,719
Speaker 3: And that's why it's so wildly unfair.

1790
01:27:27,840 --> 01:27:32,280
Speaker 1: Is now Panera alone gets this huge competitive advantage because

1791
01:27:32,280 --> 01:27:35,080
Speaker 1: they can like undercut and pay their workers less and

1792
01:27:35,080 --> 01:27:37,160
Speaker 1: not have to abide by the other safety standards. It's

1793
01:27:37,160 --> 01:27:39,879
Speaker 1: not just the labor costs. There's all, you know, additional

1794
01:27:39,880 --> 01:27:42,680
Speaker 1: safety standards and requirements here and probably scheduling requirements, et

1795
01:27:42,760 --> 01:27:46,880
Speaker 1: cetera that they also get to not have to participate in.

1796
01:27:47,080 --> 01:27:50,519
Speaker 3: So just wild wild corruption out in the open.

1797
01:27:50,400 --> 01:27:53,600
Speaker 2: Year mickisiders sol guess what Panera average salary for an

1798
01:27:53,640 --> 01:27:56,559
Speaker 2: associate is in state of California right now? Eleven bucks

1799
01:27:56,600 --> 01:27:59,760
Speaker 2: an hour eleven seventy an hour, So everybody else has

1800
01:27:59,760 --> 01:28:02,639
Speaker 2: got to almost double what Panera gets to pay. You're

1801
01:28:02,640 --> 01:28:04,719
Speaker 2: not gonna tell me. That's a huge advantage, a multi

1802
01:28:04,760 --> 01:28:08,920
Speaker 2: billion dollar advantage at scale. Also specifically for this one dude,

1803
01:28:09,200 --> 01:28:11,640
Speaker 2: apparently actually President Biden planning on bringing some of this

1804
01:28:11,720 --> 01:28:13,479
Speaker 2: up in the State of the Union. Let's put it

1805
01:28:13,560 --> 01:28:16,320
Speaker 2: up there. Biden targeting a new economic villain, which is

1806
01:28:16,360 --> 01:28:19,120
Speaker 2: shrink flation. You actually saw some of that, and they

1807
01:28:19,120 --> 01:28:22,040
Speaker 2: didn't do an interview, but they've sent out to surrogate

1808
01:28:22,360 --> 01:28:25,200
Speaker 2: before the Super Bowl to talk about how the snacks

1809
01:28:25,200 --> 01:28:26,800
Speaker 2: were getting more expensive.

1810
01:28:26,880 --> 01:28:28,479
Speaker 1: This is the thing you do, like a TikTok on

1811
01:28:28,560 --> 01:28:31,000
Speaker 1: it too or something. Yeah, apparently this is why the

1812
01:28:31,000 --> 01:28:32,519
Speaker 1: young people love Joe bioens White Peo.

1813
01:28:32,640 --> 01:28:33,400
Speaker 3: He goes on Seth.

1814
01:28:33,200 --> 01:28:35,800
Speaker 2: Myers, He's like, my scoops of ice cream are big enough.

1815
01:28:36,080 --> 01:28:39,840
Speaker 2: More's that's his version of it. But this is something

1816
01:28:39,880 --> 01:28:43,720
Speaker 2: that an actually intelligent politician would look, you know, and

1817
01:28:43,760 --> 01:28:46,800
Speaker 2: be focusing and hammering on because grocery prices are up

1818
01:28:47,000 --> 01:28:51,000
Speaker 2: some nineteen or so percent over the last five years.

1819
01:28:51,080 --> 01:28:52,920
Speaker 2: One of the segments that we did Crystal and actually

1820
01:28:53,080 --> 01:28:54,559
Speaker 2: I was talking to someone at the Wall Street Journal.

1821
01:28:54,720 --> 01:28:56,599
Speaker 2: One of the biggest stories that they have done in

1822
01:28:56,680 --> 01:28:59,360
Speaker 2: months is that food story that we covered here on

1823
01:28:59,400 --> 01:29:02,040
Speaker 2: our show about how food is now taking up more

1824
01:29:02,040 --> 01:29:05,839
Speaker 2: percentage of your income. Apparently that went viral amongst people

1825
01:29:05,880 --> 01:29:07,639
Speaker 2: in a way that they very rarely see you over

1826
01:29:07,800 --> 01:29:10,240
Speaker 2: like a trade business publication. It makes sense to me

1827
01:29:10,479 --> 01:29:13,240
Speaker 2: because it's something that really affects people. But this is

1828
01:29:13,240 --> 01:29:16,000
Speaker 2: one where everybody can personally feel it. It is so

1829
01:29:16,520 --> 01:29:20,240
Speaker 2: deeply you know, it's so deeply felt when every single

1830
01:29:20,320 --> 01:29:22,599
Speaker 2: time they have to go to the grocery store or

1831
01:29:22,640 --> 01:29:24,919
Speaker 2: whenever you open up piece of package, you remember exactly

1832
01:29:25,000 --> 01:29:26,800
Speaker 2: what it used to look like and what it looks

1833
01:29:26,840 --> 01:29:29,000
Speaker 2: like more. But all of it just fits with, you know,

1834
01:29:29,080 --> 01:29:32,720
Speaker 2: more hyper optimization, more just in time, and more squeezing

1835
01:29:32,760 --> 01:29:34,680
Speaker 2: money out of every single one of us as much

1836
01:29:34,680 --> 01:29:35,519
Speaker 2: as these people can.

1837
01:29:35,640 --> 01:29:38,280
Speaker 1: Yeah, that's right, And I also can't help but note

1838
01:29:38,280 --> 01:29:41,400
Speaker 1: that you know a lot of people on the left

1839
01:29:41,439 --> 01:29:43,800
Speaker 1: and economists on the left, and by the way, I

1840
01:29:43,800 --> 01:29:45,960
Speaker 1: mean CEOs, as I mentioned before, we're out and out

1841
01:29:46,000 --> 01:29:49,640
Speaker 1: admitting this have been pointing to gre inflation as a

1842
01:29:49,680 --> 01:29:52,880
Speaker 1: significant component of inflation, not saying that was the only

1843
01:29:52,920 --> 01:29:55,559
Speaker 1: thing going on, but as a significant component. And we're

1844
01:29:55,560 --> 01:29:59,559
Speaker 1: basically completely laughed at and dismissed early on, and now

1845
01:29:59,600 --> 01:30:02,519
Speaker 1: you have even administration economists who are like, wait a second,

1846
01:30:02,960 --> 01:30:08,560
Speaker 1: food production costs have gone down by way more than actual.

1847
01:30:08,400 --> 01:30:10,840
Speaker 3: Costs for you at the grocery store.

1848
01:30:11,160 --> 01:30:14,559
Speaker 1: And all of these companies are continuing to make massive,

1849
01:30:14,680 --> 01:30:18,840
Speaker 1: in some instances, record breaking profit margins. So what is

1850
01:30:18,920 --> 01:30:21,280
Speaker 1: that they are just gouging you because they have the

1851
01:30:21,320 --> 01:30:23,000
Speaker 1: excuse to do it and they think they can get

1852
01:30:23,000 --> 01:30:25,200
Speaker 1: away with it. And shrinkflation is part of one of

1853
01:30:25,200 --> 01:30:27,240
Speaker 1: those strategies where it's like, we're not going to jack

1854
01:30:27,320 --> 01:30:29,000
Speaker 1: up the price. We're going to keep the price where

1855
01:30:29,000 --> 01:30:31,400
Speaker 1: it is. You're just going to get less for your dollar.

1856
01:30:31,439 --> 01:30:33,800
Speaker 1: You're going to get fewer oreos in the package, fewer

1857
01:30:33,800 --> 01:30:35,760
Speaker 1: wheat thins in the package, whatever, and we're just going

1858
01:30:35,800 --> 01:30:38,080
Speaker 1: to hope that you don't notice. Those are the sort

1859
01:30:38,120 --> 01:30:40,840
Speaker 1: of tricks that they've been engaged in which go way

1860
01:30:40,840 --> 01:30:43,920
Speaker 1: beyond so their costs have gone down, but they're not

1861
01:30:44,040 --> 01:30:47,000
Speaker 1: passing that on to you, and these are some of

1862
01:30:47,040 --> 01:30:48,960
Speaker 1: the mechanisms that they've used to do it. I mean,

1863
01:30:49,000 --> 01:30:51,720
Speaker 1: it's pathetic that has taken him this long to pay

1864
01:30:51,760 --> 01:30:54,840
Speaker 1: attention to this and really embrace it. And you know,

1865
01:30:54,880 --> 01:30:56,360
Speaker 1: reportedly that's going to be in the state of the

1866
01:30:56,400 --> 01:30:59,280
Speaker 1: union or whatever. But it really is utterly pathetic that

1867
01:30:59,320 --> 01:31:03,240
Speaker 1: has taken this long for him to realize that corporate

1868
01:31:03,280 --> 01:31:05,280
Speaker 1: greed is a thing and that this is a significant

1869
01:31:05,280 --> 01:31:07,120
Speaker 1: part of what is going on for consumers.

1870
01:31:07,280 --> 01:31:09,920
Speaker 2: Absolutely all right, we had a great show for everybody today.

1871
01:31:09,960 --> 01:31:11,800
Speaker 2: I hope you guys enjoyed it. If there's anything breaking

1872
01:31:11,840 --> 01:31:14,200
Speaker 2: over the weekend, we will bring it to you. Otherwise,

1873
01:31:14,280 --> 01:31:17,040
Speaker 2: thank you to everybody who's been signing up breakingpoints dot com.

1874
01:31:17,080 --> 01:31:18,560
Speaker 2: As we said, who knows what will happen on the

1875
01:31:18,640 --> 01:31:20,120
Speaker 2: leap here. Maybe if you sign up you won't get

1876
01:31:20,200 --> 01:31:22,000
Speaker 2: charged again for another four years. I have no idea,

1877
01:31:22,040 --> 01:31:24,840
Speaker 2: I can't make any promises. We'll see you guys later