WEBVTT - Jim Acosta & Sam Wang

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<v Speaker 1>Hi, I'm Molly John Fast and this is Fast Politics,

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<v Speaker 1>where we discussed the top political headlines with some of

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<v Speaker 1>today's best minds. And President Trump's approval rating among gen

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<v Speaker 1>Z voters has fallen to a new low of twenty

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<v Speaker 1>five percent, with sixty seven percent disapproving, according to the

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<v Speaker 1>Latest Economist. Yougo falling, congratulations, Donald, We have such a

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<v Speaker 1>great show for you today. The Jim Acostas Show's own

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<v Speaker 1>Jim Acosta stops by to talk Pam Bondy taking the

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<v Speaker 1>stand to defend her indefensible handling of the Epstein files.

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<v Speaker 1>Ben we'll talk to Princeton Samwang about his run for

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<v Speaker 1>Congress in New Jersey's twelfth district. But first we have.

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<v Speaker 2>The news Somalia Gallup will no longer measure presidential approval

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<v Speaker 2>after eighty eight years. What do you think could have

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<v Speaker 2>spurred this decision?

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<v Speaker 1>Is Trump sending Gallup to Gitmo? We need to know more.

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<v Speaker 1>Probably not. The Gallup approval rating has for decades been

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<v Speaker 1>among the top barometers cited by media outlets measuring public

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<v Speaker 1>opinion of the president's performance. Trump has seen his ratings

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<v Speaker 1>slip from the agency, peaking at forty seven percent last February,

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<v Speaker 1>dipping to lower than thirty seven percent in December those

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<v Speaker 1>watching at home, that is ten percentage points. The change

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<v Speaker 1>is part of a broader, ongoing effort to align all

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<v Speaker 1>of Gallup's public work with its mission, which is who Knows.

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<v Speaker 1>Asked by The Hill if Gallup had received any feedback

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<v Speaker 1>from Donald Trump's White House and if they were in

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<v Speaker 1>fact being held hostage right now, the Gallop bravely said,

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<v Speaker 1>this is a strategic, solid shift based solely on we

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<v Speaker 1>are not being held hostage right now by the Trump administration,

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<v Speaker 1>So believe them, don't believe them? Who knows? Former President

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<v Speaker 1>John F. Kennedy experienced some of the highest average ratings

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<v Speaker 1>that Gallup had seventy one percent in January nineteen sixty one.

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<v Speaker 1>Eisenhower too super popular, more popular than Donald Trump.

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<v Speaker 2>Yeah, fun stuff. Really great week or so for journalism

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<v Speaker 2>in the last week. So in other news of where optimism,

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<v Speaker 2>where our justice keeps holding up is in these grand

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<v Speaker 2>jury indictments and a grand jury declined to indict Democratic

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<v Speaker 2>lawmakers who urged service members to disobey legal Trump orders.

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<v Speaker 2>This included a bunch of senators, including Mark Kelly, who,

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<v Speaker 2>Pete Higsetth, decided to punish.

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<v Speaker 1>So a bunch of former service members who were in

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<v Speaker 1>Congress and in the Senate made an advertisement together and

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<v Speaker 1>in the video with a ninety second video clip, they said,

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<v Speaker 1>if you are ordered to do something illegal, you don't

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<v Speaker 1>have to do it. This would seem, in a sane world,

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<v Speaker 1>to be not only not illegal, but just normal common sense. Right,

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<v Speaker 1>somebody tells you to do something illegal, don't do it.

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<v Speaker 1>As someone who thinks that that's pretty good advice, military

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<v Speaker 1>or not military, the whole idea that this would be

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<v Speaker 1>illegal is insane. Here's what happened. Trump got really mad.

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<v Speaker 1>The fact that Trump identifies this stuff as a being

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<v Speaker 1>about him is almost a bigger tell. Like during the

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<v Speaker 1>super Bowl, Trump was offended because Bad Bonnie talked about

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<v Speaker 1>how hate was bad, and Trump was like, hey, hey hate,

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<v Speaker 1>that's me. And with this, it's like illegal orders, but

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<v Speaker 1>I might want to do something illegal. So I think

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<v Speaker 1>it's really important just to pull back and see that tel.

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<v Speaker 1>But it's also important to remember that traditionally, grand juries

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<v Speaker 1>have been so famous for their interest in indicting that

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<v Speaker 1>there is that saying that you could find a grand

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<v Speaker 1>jury that would indict a ham sandwich clearly, not because

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<v Speaker 1>Senator Slockin, Senator Kelly and a bunch of members of

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<v Speaker 1>Congress were not indicted in the district of Columbia, but

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<v Speaker 1>also because the first Amendment. I don't know if you

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<v Speaker 1>know about this, it's not the one the Republicans love.

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<v Speaker 1>That's the second one, that's the guns. The first one

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<v Speaker 1>actually says that you can do videos like this because

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<v Speaker 1>they are protected under the free speech clause of the Constitution.

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<v Speaker 2>I thought it was pretty interesting the analysis that senior

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<v Speaker 2>officials would not take this up, but you know who

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<v Speaker 2>would take it up. Judge Box of Wine.

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<v Speaker 1>Yeah, Judge Box of Wine. And one of the things

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<v Speaker 1>I enjoy about her is that she is just about

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<v Speaker 1>as bad a prosecutor as you would think. It turns

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<v Speaker 1>out that being good on Fox News does not actually

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<v Speaker 1>make you good at the law.

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<v Speaker 2>So Molly, you know, it is a basically like a

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<v Speaker 2>red moon. It's so rare that I praise the strategy

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<v Speaker 2>democratic leadership. I think this is quite smart that the

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<v Speaker 2>House Democrats are going to do a ton of anti

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<v Speaker 2>teriff votes to make it so that this albatross is

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<v Speaker 2>tied to the House members of the Republican sides neck.

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<v Speaker 1>Yeah, so Democrats in Congress, and I really believe this.

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<v Speaker 1>I think they're doing good stuff in there, even though

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<v Speaker 1>they don't have the majority, though they only have a

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<v Speaker 1>one seat minority. So here's what happened. The White House

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<v Speaker 1>had wanted a rule put in with the rules that

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<v Speaker 1>would say that like they couldn't do more questions or

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<v Speaker 1>votes on tariffs. Remember, the White House is on the

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<v Speaker 1>back foot on tariffs. And here's why the Supreme Court

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<v Speaker 1>is looking at this big tariff case that might take

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<v Speaker 1>away Trump's emergency powers. Tariffs are not popular. We just

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<v Speaker 1>saw this week some news that tariffs cost approximately one

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<v Speaker 1>thousand dollars of family, that they're making things more expensive,

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<v Speaker 1>they're inflationary, which we've talked about endlessly. So this administration

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<v Speaker 1>is on the back foot on the tariffs. Republicans are

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<v Speaker 1>nine months from a midterm. They have a very unpopular president,

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<v Speaker 1>and this is an opportunity for them. And one of

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<v Speaker 1>the things that I want you to think about is

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<v Speaker 1>like you will see Republicans behaving bravely at this moment.

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<v Speaker 1>That is not because they are brave. Do you know

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<v Speaker 1>why that is? It is because they can read polls

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<v Speaker 1>and they want to keep their jobs. So you're going

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<v Speaker 1>to see votes on tariffs. You're going to see them

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<v Speaker 1>break with Trump. You're going to see this stuff, and

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<v Speaker 1>you're going to see it because these Republicans want to

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<v Speaker 1>keep their jobs and they're worried about losing their jobs.

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<v Speaker 1>And there's no reason to believe that these people have

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<v Speaker 1>had a change of heart, and there's every reason to

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<v Speaker 1>believe that this is just craven opportunism. So what's going

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<v Speaker 1>to happen now is we're going to have votes and

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<v Speaker 1>members of Congress are going to stand up to this,

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<v Speaker 1>and Trump may lose on some of these votes, though

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<v Speaker 1>I think ultimately the Supreme Court will have the power

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<v Speaker 1>they want to block the tariffs.

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<v Speaker 2>So a judge has dismissed for the third time this year,

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<v Speaker 2>the DOJ's lawsuit seeking Michigan's voter role data. I wonder

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<v Speaker 2>why the dog keeps going after this voter world data.

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<v Speaker 1>Yeah, because Donald Trump wants to fix the midterms and

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<v Speaker 1>this is the only way he thinks he could do it.

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<v Speaker 1>Thank god that he doesn't have the votes and the

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<v Speaker 1>Save Act also we're seeing he doesn't have the votes

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<v Speaker 1>when it comes to Save Act, which is good. He

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<v Speaker 1>knows he's unpopular. He knows it's nine months to the midterms,

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<v Speaker 1>he knows he's going to get impeaged, and he wants

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<v Speaker 1>to do anything he can to prevent it. So we're

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<v Speaker 1>going to see a lot more of this kind of

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<v Speaker 1>fuckorate when it comes to elections and what Democrats need

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<v Speaker 1>to do, if they need to stand up for our

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<v Speaker 1>elections and for the rule of flow. Jim Acosta is

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<v Speaker 1>the author of The Substack, The Jim Acosta Show, and

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<v Speaker 1>the author of the New York Times' bestseller Enemy of

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<v Speaker 1>the People, A Dangerous Time to Tell the Truth in America. Welcome, Welcome,

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<v Speaker 1>Jim Acosta.

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<v Speaker 3>Hi, Mollie, Hi, I'm at the airport.

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<v Speaker 1>Coming to me from la where he is the consummate professional.

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<v Speaker 3>The seventh level of Dante's Inferno, recording to you live.

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<v Speaker 1>That's right. I don't know if you saw that. Pam

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<v Speaker 1>Bondy is Oh.

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<v Speaker 3>My god, she is not happy. What the hell?

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<v Speaker 1>How dare you? How dare you watch this hearing and

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<v Speaker 1>criticize President Trump discuss.

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<v Speaker 3>I know, the greatest president of all time. I don't

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<v Speaker 3>know that this may be too low browber of a

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<v Speaker 3>reference for you, but she reminds me of Ricky Bobby's

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<v Speaker 3>wife from Talladega Knights. You know when she says, I'm

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<v Speaker 3>a racer's wife, I don't work, you know, that's what

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<v Speaker 3>she reminds me of. I apologize for the lowbrow reference,

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<v Speaker 3>but that is what I hear every time she opens

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<v Speaker 3>her mouth. What a shameful performance just to get serious

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<v Speaker 3>for a moment, like the survivors of Jeffrey Epstein's stand up.

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<v Speaker 1>She won't look at them.

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<v Speaker 3>She won't look at them. They won't meet with them.

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<v Speaker 3>The Justice Department has not met with these survivors and

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<v Speaker 3>victims and their families. It's appalling.

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<v Speaker 1>So let's talk about this. Representative Ji Paul. You know,

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<v Speaker 1>congressional hearings are so interesting because a lot of times

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<v Speaker 1>there's just a lot of grandstanding, but occasionally there's really

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<v Speaker 1>effective questioning. So Representative Jipaul to the survivors in the room,

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<v Speaker 1>if you're willing, please stand, and if you're willing, please

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<v Speaker 1>raise your hand. If you have not been able to

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<v Speaker 1>meet with the DOJ. Please note for the record that

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<v Speaker 1>every single survivor has raised their hands. So what do

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<v Speaker 1>you think about that?

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<v Speaker 3>How much worse is this going to get? How many

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<v Speaker 3>more indignities are they going to have to suffer through

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<v Speaker 3>these survivors and these victims. I know we've said this,

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<v Speaker 3>we've stipulated this, that shamelessness is their superpower, but my god,

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<v Speaker 3>this is like next level Jedi master shamelessness. I mean,

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<v Speaker 3>it's just unreal to me. The only way to do

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<v Speaker 3>this is to keep the pressure on. When Rocanna went

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<v Speaker 3>to the floor of the house and read those names

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<v Speaker 3>out loud, that felt like, for a moment, the beginning

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<v Speaker 3>of some sort of light at the end of the tunnel,

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<v Speaker 3>some ray of hope that came into all of this,

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<v Speaker 3>and I just think that, you know, they're just going

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<v Speaker 3>to have to keep charging forward. My sense of it

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<v Speaker 3>is is that at some point something the damn is

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<v Speaker 3>going to break. And when I saw you know, the

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<v Speaker 3>FA restrictions going up Overell Passo this morning, I was like,

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<v Speaker 3>are we going to def con you know one when

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<v Speaker 3>it comes to Trump and the Epstein files. Is that

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<v Speaker 3>what's happening here? The final chapters of this have not

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<v Speaker 3>been written, And it just seems to me like when

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<v Speaker 3>Howard Lutnik is like, oh, yeah, I brought my family.

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<v Speaker 3>I brought my four kids and the nannies to Epstein Island,

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<v Speaker 3>How has he not been fired? How is he still there?

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<v Speaker 1>Howard Lutnik has a really interesting dejectory. We see him

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<v Speaker 1>on a podcast say that he went to Epstein's house

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<v Speaker 1>in two thousand and four, thought Epstein was a creep,

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<v Speaker 1>didn't want anything to do with him. Then we hear

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<v Speaker 1>that's actually a lie. He's in the files endlessly. He

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<v Speaker 1>did an LLC with Ebstein. He's got these emails from

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<v Speaker 1>his wife to Epstein's assistant saying, we're gonna come. Here

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<v Speaker 1>are the kids. We have four kids, lists their ages,

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<v Speaker 1>which if I were taking my kids to the home

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<v Speaker 1>of a sex predator and my friend's kids, I would

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<v Speaker 1>probably not list their I mean, I think listing their

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<v Speaker 1>ages is the least of it. But yeah, okay, And

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<v Speaker 1>then there's this weird email about the nanny. So the

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<v Speaker 1>Latnick nanny is going to meet with Jeffrey Epstein. Now

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<v Speaker 1>there is some other nanny talk in other pieces of

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<v Speaker 1>the file, emails and such about men getting nanny's from

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<v Speaker 1>Epstein and they're not nanny's for the kids.

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<v Speaker 3>Right now, this is like, could it get any worse? Honestly,

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<v Speaker 3>and to me, you know, Howard Lutnik, I was looking

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<v Speaker 3>to see is he worth like threety billion dollars or

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<v Speaker 3>something like that.

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<v Speaker 1>All these people right now are worth ten brillion dollars

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<v Speaker 1>because they're totally grubbed.

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<v Speaker 3>And how many people in Donald Trump's orbit? I mean,

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<v Speaker 3>first of all, he's in there tens of thousands of times.

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<v Speaker 1>Grump is in there more than a million times.

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<v Speaker 3>I heard Scott Galloway say that that Trump is in

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<v Speaker 3>the Epstein files more than Jesus is in the Bible.

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<v Speaker 3>I think, is that is that maybe him come up with.

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<v Speaker 1>Where Harry Poliner is in the Harry Potter books.

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<v Speaker 3>I mean, at some point, so we need to start

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<v Speaker 3>asking the question, Donald Trump, how is it that you

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<v Speaker 3>are in the Epstein files so many times? What the

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<v Speaker 3>hell is going on? When are you going to finally

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<v Speaker 3>offer a full explanation for all of this? And one

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<v Speaker 3>of my friends in the press is going to grill

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<v Speaker 3>his ass on this, I'm sorry, Molly. In any other administration,

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<v Speaker 3>and any other administration, I mean, any other timeline, any

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<v Speaker 3>other on Earth one, two, three, and four, he would

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<v Speaker 3>have been crucified over this ship. A president would have

0:12:55.080 --> 0:12:56.560
<v Speaker 3>been crucified over this shit.

0:12:56.880 --> 0:12:59.800
<v Speaker 1>Aren't they scared of losing press room access?

0:13:00.080 --> 0:13:00.240
<v Speaker 4>Yes?

0:13:00.280 --> 0:13:02.080
<v Speaker 3>But who gives a fuck at this point, Go for

0:13:02.120 --> 0:13:04.760
<v Speaker 3>the gold. It's the goddamn Olympics. Go for the fucking

0:13:04.760 --> 0:13:08.160
<v Speaker 3>White House for Responsor Association gold. And Grill has ass

0:13:08.160 --> 0:13:11.200
<v Speaker 3>on this. When he starts to insult, keep going, and

0:13:11.240 --> 0:13:13.439
<v Speaker 3>the other recorders of the room keep going. How is

0:13:13.480 --> 0:13:17.319
<v Speaker 3>it Howard Lutnik, the Secretary of the Navy, Elon Musk,

0:13:17.600 --> 0:13:20.079
<v Speaker 3>Steve Bannon over and over again.

0:13:20.200 --> 0:13:25.560
<v Speaker 1>Kimball, Musk got girls from Epstein, Grill his ass.

0:13:25.640 --> 0:13:27.040
<v Speaker 3>I'm sorry, I just don't get it.

0:13:27.160 --> 0:13:32.520
<v Speaker 1>If you're a Tesla stockholder, your board has Elon and Kimball,

0:13:32.840 --> 0:13:35.720
<v Speaker 1>both of whom have been I mean, like, the thing is,

0:13:35.960 --> 0:13:38.760
<v Speaker 1>don't we want in the rest of the world where

0:13:38.800 --> 0:13:43.800
<v Speaker 1>people are normal. They are firing people in the Epstein files.

0:13:43.880 --> 0:13:47.760
<v Speaker 1>They are right leaving from government. They are talking about

0:13:47.840 --> 0:13:53.000
<v Speaker 1>removing the Prime Minister of Britain, not because he was

0:13:53.040 --> 0:13:56.120
<v Speaker 1>in the Epstein files, merely because he hired someone in

0:13:56.120 --> 0:14:00.319
<v Speaker 1>the Epstein files. You know who is in the Epstein files, Donald.

0:14:00.600 --> 0:14:04.280
<v Speaker 3>The President, I know, And I just think that maybe

0:14:04.280 --> 0:14:05.960
<v Speaker 3>this is just going to come down to a voter

0:14:06.080 --> 0:14:10.240
<v Speaker 3>revolt in the fall, and that'll be where the accountability starts.

0:14:10.559 --> 0:14:13.000
<v Speaker 3>But it just seems to me that I mean, Pam

0:14:13.080 --> 0:14:17.280
<v Speaker 3>Bonnie the performance that she does anybody buy this? Does

0:14:17.360 --> 0:14:19.640
<v Speaker 3>anybody see this as credible? When she gets up there

0:14:19.680 --> 0:14:22.840
<v Speaker 3>and that this Kobookie Theater with Jim Jordan and the

0:14:22.880 --> 0:14:25.720
<v Speaker 3>other Republicans on the can, it's just like that, no

0:14:25.760 --> 0:14:29.520
<v Speaker 3>one's buying this, it's all worship. They're covering this up

0:14:29.560 --> 0:14:31.080
<v Speaker 3>and they're covering his ass.

0:14:31.360 --> 0:14:36.000
<v Speaker 1>But Pam Bondi only is performing for one person, and

0:14:36.480 --> 0:14:38.360
<v Speaker 1>she is. It's funny because when I was watching her,

0:14:38.400 --> 0:14:43.600
<v Speaker 1>I was thinking about Justice bred Kavanaugh. And you'll remember

0:14:43.880 --> 0:14:47.800
<v Speaker 1>that when Justice Fred Kavanaugh got up there, the first day,

0:14:47.880 --> 0:14:51.000
<v Speaker 1>he was normal and Trump hated it, and the second

0:14:51.040 --> 0:14:54.760
<v Speaker 1>day he was insane and Trump loved it. And that's

0:14:54.800 --> 0:14:59.240
<v Speaker 1>what we're seeing with Bondi is her whole thing is

0:14:59.240 --> 0:15:00.640
<v Speaker 1>that she wants me Trump happy.

0:15:01.080 --> 0:15:03.080
<v Speaker 3>Well, and that's that's all well and good, and they

0:15:03.120 --> 0:15:06.440
<v Speaker 3>can hit option to the faux outrage button and put

0:15:06.440 --> 0:15:08.800
<v Speaker 3>on that performance for the audience of one. But I

0:15:08.840 --> 0:15:11.360
<v Speaker 3>still think that these hearings are productive in that we

0:15:11.400 --> 0:15:15.520
<v Speaker 3>are memorializing for all time the lunacy of what they

0:15:15.520 --> 0:15:18.680
<v Speaker 3>are putting this country through. And it just seems to

0:15:18.720 --> 0:15:20.840
<v Speaker 3>me this is creeping up further and further. And I

0:15:20.880 --> 0:15:22.640
<v Speaker 3>know we've all banned. You know, we can't say the

0:15:22.680 --> 0:15:25.360
<v Speaker 3>expression the walls are closing in or you know, this

0:15:25.400 --> 0:15:25.560
<v Speaker 3>is it.

0:15:25.720 --> 0:15:28.120
<v Speaker 1>Because we did a year four years of it.

0:15:28.200 --> 0:15:32.040
<v Speaker 3>And you should be publicly flogged for saying so. But

0:15:32.200 --> 0:15:34.680
<v Speaker 3>there is a there there with the Epstein files in

0:15:34.760 --> 0:15:37.840
<v Speaker 3>Donald Trump, and until the public scratches that itch and

0:15:37.920 --> 0:15:40.200
<v Speaker 3>gets to the bottom of this, his ass is still

0:15:40.200 --> 0:15:41.680
<v Speaker 3>in hot water, it seems to me.

0:15:41.960 --> 0:15:44.960
<v Speaker 1>But I also think a really important point of this

0:15:45.120 --> 0:15:47.880
<v Speaker 1>story is that, like, you never know what's going to

0:15:47.920 --> 0:15:51.240
<v Speaker 1>come from hearings, and I'm thinking about Cash fatal during

0:15:51.320 --> 0:15:56.240
<v Speaker 1>those hearings when he said Jeffrey Epstein never traffied anyone,

0:15:56.440 --> 0:16:00.640
<v Speaker 1>unbelievable And I saw that and I thought, how what?

0:16:00.960 --> 0:16:04.440
<v Speaker 1>But it was really important because it showed that Cash

0:16:04.480 --> 0:16:08.160
<v Speaker 1>Patau was lying to protect someone, because the head of

0:16:08.160 --> 0:16:11.320
<v Speaker 1>the FBI getting up there and saying that, you don't

0:16:11.520 --> 0:16:16.160
<v Speaker 1>say that unless you're trying to protect someone, and so

0:16:16.240 --> 0:16:18.560
<v Speaker 1>it really does you know it's on the record.

0:16:19.040 --> 0:16:21.320
<v Speaker 3>Well, and Molly. The other thing too, is this is

0:16:21.360 --> 0:16:24.960
<v Speaker 3>why Donald Trump surrounds himself with the kinds of people

0:16:25.000 --> 0:16:27.480
<v Speaker 3>who really can't get these kinds of gigs anywhere else.

0:16:27.920 --> 0:16:30.720
<v Speaker 3>He puts people in these jobs who know they depend

0:16:30.840 --> 0:16:33.680
<v Speaker 3>on him for five star treatments. They get the private

0:16:33.720 --> 0:16:36.960
<v Speaker 3>cars and the you know, the primetime appearances on Fox

0:16:37.000 --> 0:16:38.760
<v Speaker 3>and Handity and so on. They don't get this without

0:16:39.440 --> 0:16:42.440
<v Speaker 3>cowtowing to Donald Trump. And that is why he gets

0:16:42.480 --> 0:16:45.440
<v Speaker 3>away with this, because he surrounded in himself with I mean,

0:16:45.480 --> 0:16:48.000
<v Speaker 3>the twenty fifth and that is just completely useless at

0:16:48.000 --> 0:16:50.720
<v Speaker 3>this point, because he has surrounded himself with the kind

0:16:50.720 --> 0:16:53.160
<v Speaker 3>of people who will never invoke the twenty fifth Amendment

0:16:53.280 --> 0:16:56.240
<v Speaker 3>or exercise the twenty fifth Amendment. Their livelihoods, everything that

0:16:56.280 --> 0:16:59.480
<v Speaker 3>they hold dear is because of Donald Trump, and so

0:16:59.560 --> 0:17:01.960
<v Speaker 3>we can't expect them to behave in any sort of

0:17:02.040 --> 0:17:04.200
<v Speaker 3>fashion that you know, we would find normal in any

0:17:04.200 --> 0:17:07.720
<v Speaker 3>other administration. And you know, to me, like Cash Bettel

0:17:08.000 --> 0:17:10.280
<v Speaker 3>saying that that's going to have to go down, that's

0:17:10.359 --> 0:17:14.480
<v Speaker 3>one of the worst lies ever in the presidency of

0:17:14.560 --> 0:17:16.800
<v Speaker 3>Donald Trump first or second administration.

0:17:16.960 --> 0:17:21.439
<v Speaker 1>It is just shameful, and it is worse just pulling

0:17:21.520 --> 0:17:24.879
<v Speaker 1>back and looking at how unusual all of this is.

0:17:25.240 --> 0:17:27.960
<v Speaker 1>This is not how any of it's supposed to work.

0:17:28.160 --> 0:17:31.080
<v Speaker 1>And I think this is particularly important is that the

0:17:31.119 --> 0:17:34.560
<v Speaker 1>Epstein files have a number of places where other people

0:17:34.600 --> 0:17:37.640
<v Speaker 1>have been redacted. And one of the things that we've

0:17:37.720 --> 0:17:40.920
<v Speaker 1>heard members of Congress talk about is that there are

0:17:41.000 --> 0:17:43.680
<v Speaker 1>two sets of production. So there are the redactions, the

0:17:43.760 --> 0:17:47.280
<v Speaker 1>dj already got files that were already redacted, and those

0:17:47.359 --> 0:17:50.399
<v Speaker 1>redactants have not been taken away, and those were the

0:17:50.520 --> 0:17:56.040
<v Speaker 1>Trump Protection redactions. So what we're seeing now are some

0:17:56.240 --> 0:18:00.840
<v Speaker 1>other files that they felt were safe enough to release.

0:18:01.080 --> 0:18:05.359
<v Speaker 1>So I wonder, like when we see stories like yesterday

0:18:05.359 --> 0:18:08.920
<v Speaker 1>there was a story about how Trump warned the chief

0:18:08.960 --> 0:18:13.680
<v Speaker 1>of police yeah in Palm Beach, that Jeffrey Epstein was bad.

0:18:13.640 --> 0:18:16.199
<v Speaker 3>And that Gallainne Maxwell was evil, you know all of that.

0:18:16.440 --> 0:18:20.159
<v Speaker 1>I'm very suspicious of that story. When I saw that story,

0:18:20.240 --> 0:18:23.840
<v Speaker 1>I thought, that's the only story about coming out about

0:18:23.840 --> 0:18:26.120
<v Speaker 1>Donald Trump. What do you think? I mean?

0:18:26.480 --> 0:18:29.160
<v Speaker 3>Yes, and Julie Brown has done some amazing reports.

0:18:28.840 --> 0:18:33.399
<v Speaker 1>Amazing Yeah, but it's the one file that was released

0:18:34.040 --> 0:18:37.719
<v Speaker 1>that was easy to track down, that wasn't heavily redacted.

0:18:38.080 --> 0:18:40.080
<v Speaker 3>But there were there were members of Congress coming out

0:18:40.119 --> 0:18:43.520
<v Speaker 3>of viewing these unredacted files who were, you know, singing

0:18:43.600 --> 0:18:46.200
<v Speaker 3>like a canary, And there were some Republicans who were

0:18:46.200 --> 0:18:49.199
<v Speaker 3>coming out of the look at those viewing sessions, absolutely

0:18:49.280 --> 0:18:52.679
<v Speaker 3>shell shocked. And there was the congresswoman from Vermont. It

0:18:52.720 --> 0:18:56.000
<v Speaker 3>was Blint if I've seen the name Becker ballanced balanced,

0:18:56.040 --> 0:18:58.639
<v Speaker 3>excuse me, and she's, you know, she's being asked by

0:18:58.680 --> 0:19:01.879
<v Speaker 3>reporters about this, and she says that, well, the whole

0:19:01.960 --> 0:19:05.000
<v Speaker 3>lie that Trump told about kicking Jeffrey Epstein out of

0:19:05.040 --> 0:19:08.000
<v Speaker 3>the club is a lie. It's a lie, and so

0:19:08.040 --> 0:19:10.480
<v Speaker 3>he's been lying repeatedly about this over the years.

0:19:10.840 --> 0:19:14.600
<v Speaker 1>Yeah, I'm really curious to know what she saw. The

0:19:14.760 --> 0:19:20.960
<v Speaker 1>other one, you'll remember, Cynthia Loomis Senator from Wyoming not

0:19:21.240 --> 0:19:24.480
<v Speaker 1>running for reelection, which I think is important to mention,

0:19:25.280 --> 0:19:28.600
<v Speaker 1>says that she now understands after seeing the unredacted files,

0:19:28.640 --> 0:19:31.880
<v Speaker 1>what a big deal this all is, which begs the question,

0:19:32.400 --> 0:19:35.479
<v Speaker 1>what did she see? What did any of those people say?

0:19:35.680 --> 0:19:38.399
<v Speaker 3>I know? And why is it that they've released some

0:19:38.480 --> 0:19:40.399
<v Speaker 3>of the files but not all of the files, and

0:19:40.400 --> 0:19:42.760
<v Speaker 3>that some of the files are unredacted for the numbers

0:19:42.800 --> 0:19:45.240
<v Speaker 3>of Congress And I have to say, like, why aren't

0:19:45.280 --> 0:19:48.760
<v Speaker 3>there like career prosecutors going through this stuff and sharpening

0:19:48.800 --> 0:19:50.959
<v Speaker 3>their knives and figuring out that they have some cases

0:19:50.960 --> 0:19:54.080
<v Speaker 3>that can be brought against some real sick people who

0:19:54.160 --> 0:19:56.239
<v Speaker 3>need to be put behind bars. I mean, this is

0:19:56.240 --> 0:19:58.680
<v Speaker 3>not how our Justice department. I mean, you could talk

0:19:58.720 --> 0:20:00.560
<v Speaker 3>to all of the wonderful experts that you and I

0:20:00.600 --> 0:20:02.480
<v Speaker 3>talk to Molly all the time on this subject. This

0:20:02.520 --> 0:20:06.320
<v Speaker 3>should be a prosecutorial shopping spree here. You know, like

0:20:06.560 --> 0:20:08.919
<v Speaker 3>you know, you get a conviction, you get a conviction

0:20:09.000 --> 0:20:12.120
<v Speaker 3>that you know, and it's unreal and it's not happening.

0:20:12.400 --> 0:20:16.600
<v Speaker 1>Well, if the Trump administration wanted to solve these crimes,

0:20:16.920 --> 0:20:20.159
<v Speaker 1>or even anyone else, not even the Trump administration, just

0:20:20.200 --> 0:20:22.919
<v Speaker 1>like members of Congress, wouldn't one of the first people

0:20:22.960 --> 0:20:26.520
<v Speaker 1>you would call to testify be Mornen Kombe, who was

0:20:26.800 --> 0:20:30.520
<v Speaker 1>working on this case. I mean, there are so many

0:20:30.760 --> 0:20:34.520
<v Speaker 1>points in which you see that these victims have really

0:20:34.600 --> 0:20:36.240
<v Speaker 1>nobody cares about the victims.

0:20:36.440 --> 0:20:38.240
<v Speaker 3>It's all a shamp bringing in the Clintons, and the

0:20:38.280 --> 0:20:40.280
<v Speaker 3>Clintons like, well, we'll testify in front of the cameras.

0:20:40.320 --> 0:20:42.240
<v Speaker 3>Oh no, no, no, we don't want that. But they don't

0:20:42.240 --> 0:20:43.920
<v Speaker 3>want Donald Trump to be the ghost.

0:20:44.119 --> 0:20:47.480
<v Speaker 1>I understand Bill, he's in the photos, he's in the files. Great,

0:20:47.600 --> 0:20:51.560
<v Speaker 1>have Bill testify have him testify, have Trump testify, have

0:20:51.720 --> 0:20:54.520
<v Speaker 1>all these men testified. But Hillary never was on the plane.

0:20:54.600 --> 0:20:57.360
<v Speaker 1>She was never. I mean, I understand they're obsessed with her,

0:20:57.359 --> 0:20:59.720
<v Speaker 1>but like it's a pretty good case of like where

0:20:59.760 --> 0:21:03.359
<v Speaker 1>you say, this is just partisan hacker, Like get Bill,

0:21:03.640 --> 0:21:09.400
<v Speaker 1>get Doug banned, Bill's body man, who got a feleip attack.

0:21:09.200 --> 0:21:11.399
<v Speaker 3>Watch right, right, right right.

0:21:11.320 --> 0:21:14.080
<v Speaker 1>Yeah, you get that guy, But like, get people where

0:21:14.119 --> 0:21:17.400
<v Speaker 1>they actually are in the files. Don't get people where

0:21:17.520 --> 0:21:20.600
<v Speaker 1>you are going to be able to you know, just grandstand.

0:21:20.960 --> 0:21:22.960
<v Speaker 3>And you and I have talked about this, and it

0:21:22.960 --> 0:21:25.639
<v Speaker 3>should be said again, you and I, people on the

0:21:25.680 --> 0:21:28.359
<v Speaker 3>center left, the sanity based world, we don't give a

0:21:28.359 --> 0:21:30.919
<v Speaker 3>fuck if something bad happens to Bill Clinton and all

0:21:30.920 --> 0:21:33.200
<v Speaker 3>of this. At the end of the day, we don't care.

0:21:33.640 --> 0:21:35.720
<v Speaker 3>And so the same standard what's good for the goose

0:21:35.800 --> 0:21:37.440
<v Speaker 3>is good for the gander. And it seems to be

0:21:37.520 --> 0:21:41.040
<v Speaker 3>it's a shrinking universe of people who are saying I

0:21:41.119 --> 0:21:44.040
<v Speaker 3>stand with Donald Trump and why he's behaving when it

0:21:44.040 --> 0:21:47.160
<v Speaker 3>comes to the Epstein files, the ice is cracking, their

0:21:47.240 --> 0:21:50.159
<v Speaker 3>fissures forming I just think, faster your seatbelt. It just

0:21:50.200 --> 0:21:52.640
<v Speaker 3>seems to me, and again we're not allowed to say

0:21:52.640 --> 0:21:54.080
<v Speaker 3>the walls are closing in and so on.

0:21:54.320 --> 0:21:56.280
<v Speaker 1>They seem like they're on the back foot here.

0:21:56.560 --> 0:21:58.800
<v Speaker 3>It is not going in the right direction for the

0:21:58.840 --> 0:22:02.680
<v Speaker 3>forty seventh president. Of you that experience, I'll just say that, yeah, and.

0:22:02.840 --> 0:22:05.480
<v Speaker 1>Quite frankly, it shouldn't be, because a lot of this

0:22:05.560 --> 0:22:09.240
<v Speaker 1>stuff he's trying to get away with here is really unprecedented.

0:22:09.520 --> 0:22:12.040
<v Speaker 3>And maybe we start to use the word evil. I mean,

0:22:12.119 --> 0:22:14.040
<v Speaker 3>I mean, some of this is just it's just evil.

0:22:14.160 --> 0:22:14.719
<v Speaker 3>It just is.

0:22:15.160 --> 0:22:19.280
<v Speaker 1>And it's also just not okay. You are definitely seeing Republicans,

0:22:19.280 --> 0:22:23.440
<v Speaker 1>some Republicans break with Trump on this. Do you think

0:22:23.480 --> 0:22:24.800
<v Speaker 1>this is opportunism?

0:22:25.160 --> 0:22:27.159
<v Speaker 3>I think folks are starting to put their finger in

0:22:27.200 --> 0:22:31.240
<v Speaker 3>the wind. And I talked to a long time Republican

0:22:31.280 --> 0:22:34.280
<v Speaker 3>fundraiser just the other day who was telling me this

0:22:34.359 --> 0:22:37.360
<v Speaker 3>is something I've known for years. In Washington, they're predicting

0:22:37.400 --> 0:22:39.640
<v Speaker 3>a wipeout. They are feeling at this point that they're

0:22:39.720 --> 0:22:42.320
<v Speaker 3>just going to get wiped out, and that not just

0:22:42.400 --> 0:22:45.240
<v Speaker 3>the House isn't obviously in jeopardy, that the Senate is

0:22:45.280 --> 0:22:47.359
<v Speaker 3>in jeopardy, and that they could lose in places like

0:22:47.480 --> 0:22:51.840
<v Speaker 3>Iowa and alaskap this is the doomsday scenario that people

0:22:51.880 --> 0:22:53.680
<v Speaker 3>like you and I have been warning about for some time,

0:22:53.760 --> 0:22:56.080
<v Speaker 3>that the chickens will eventually come home to roost. He

0:22:56.119 --> 0:22:58.879
<v Speaker 3>doesn't get away scott free. That's not how this ends.

0:22:59.080 --> 0:23:00.720
<v Speaker 3>I don't cook that that's going to be the case.

0:23:00.880 --> 0:23:02.919
<v Speaker 3>I think that they see what's coming, and you know,

0:23:03.240 --> 0:23:05.680
<v Speaker 3>nature finds a way as a wiseman once set in

0:23:05.760 --> 0:23:08.560
<v Speaker 3>Jurassic Park. And the Republicans are starting to figure this out.

0:23:08.640 --> 0:23:11.440
<v Speaker 3>I don't know how they don't go Thelman Louise off

0:23:11.480 --> 0:23:13.440
<v Speaker 3>the cliff with him at this point, kwant honestly, I

0:23:13.440 --> 0:23:15.919
<v Speaker 3>don't see how do you make that pivot? I mean,

0:23:16.040 --> 0:23:18.440
<v Speaker 3>just can somebody draw me that picture between now and November.

0:23:18.560 --> 0:23:20.960
<v Speaker 3>They don't, They're right or die, so they go over

0:23:21.000 --> 0:23:21.439
<v Speaker 3>the cliff.

0:23:21.920 --> 0:23:24.919
<v Speaker 1>Jim Acosta, don't miss your flight.

0:23:25.240 --> 0:23:27.720
<v Speaker 3>Thank you, Thank you so much. Owe you on.

0:23:29.680 --> 0:23:33.640
<v Speaker 1>Sam Wang is a neuroscientist and a professor at Princeton

0:23:33.720 --> 0:23:39.280
<v Speaker 1>University and a candidate for the Democratic nomination for New

0:23:39.400 --> 0:23:46.400
<v Speaker 1>Jersey's twelfth congressional district. Welcome too Fast Politics, Sam.

0:23:46.160 --> 0:23:47.600
<v Speaker 3>Oh, Mollie, good to see you.

0:23:47.640 --> 0:23:50.080
<v Speaker 1>So you come in to talk to us a lot

0:23:50.240 --> 0:23:55.960
<v Speaker 1>about this jerrymandering, but today you are talking about something else,

0:23:56.040 --> 0:23:57.720
<v Speaker 1>So talk us through it today.

0:23:57.800 --> 0:23:58.680
<v Speaker 3>I have something new.

0:23:58.840 --> 0:24:01.359
<v Speaker 4>So as you know, I've been looking for gosh twenty

0:24:01.440 --> 0:24:05.119
<v Speaker 4>years on helping people be more powerful, fighting gerrymandering, you know,

0:24:05.240 --> 0:24:07.520
<v Speaker 4>different ways to put my science to work. Today I

0:24:07.560 --> 0:24:12.879
<v Speaker 4>am entering politics myself. I'm standing for office for Congress

0:24:13.000 --> 0:24:15.360
<v Speaker 4>here in the twelfth District of New Jersey. So I'm

0:24:15.400 --> 0:24:17.119
<v Speaker 4>throwing my hat in the ring. I'm trying to get

0:24:17.119 --> 0:24:18.160
<v Speaker 4>the Democratic nomination.

0:24:18.520 --> 0:24:21.639
<v Speaker 1>Talk us through what the twelfth district in New Jersey

0:24:21.680 --> 0:24:22.119
<v Speaker 1>looks like.

0:24:22.480 --> 0:24:24.359
<v Speaker 4>It looks like a lot of things. The twelfth District

0:24:24.400 --> 0:24:26.280
<v Speaker 4>is one of the most diverse districts in the country.

0:24:26.400 --> 0:24:28.520
<v Speaker 4>Princeton where I teaches, in the middle of it, but

0:24:28.560 --> 0:24:31.560
<v Speaker 4>it stretches from Trenton and Ewing, which is in the

0:24:31.560 --> 0:24:35.960
<v Speaker 4>southwest black and Hispanic populations, to Plainfield in the northeast,

0:24:36.040 --> 0:24:39.240
<v Speaker 4>again black and Hispanic, and in the middle of highly

0:24:39.320 --> 0:24:44.159
<v Speaker 4>educated Princetonian's Asian East and South Asian communities of Montgomery

0:24:44.119 --> 0:24:47.360
<v Speaker 4>and West Windsor and so Plainsboro and South Brunswick. As

0:24:47.359 --> 0:24:49.119
<v Speaker 4>you can tell from the way I'm sounding, Usually we

0:24:49.119 --> 0:24:52.000
<v Speaker 4>talk about gerrymandering like at a national level we talk

0:24:52.040 --> 0:24:54.920
<v Speaker 4>about reform and the damage to our democracy. This is new.

0:24:55.000 --> 0:24:57.800
<v Speaker 4>This is me getting into the specifics of a district.

0:24:57.840 --> 0:25:00.520
<v Speaker 4>There's an open seat, and I think Congress someone who

0:25:00.600 --> 0:25:03.040
<v Speaker 4>understands the science of what's gone wrong, and so I

0:25:03.040 --> 0:25:04.840
<v Speaker 4>want to get in there and try to fix the

0:25:04.880 --> 0:25:07.320
<v Speaker 4>damage and help make sure it never happens again.

0:25:07.560 --> 0:25:09.760
<v Speaker 1>So the history of this seat is it was a

0:25:09.800 --> 0:25:12.440
<v Speaker 1>Republican seat, and then it was a Democrat seat. Right,

0:25:12.520 --> 0:25:13.960
<v Speaker 1>it's been mixed.

0:25:14.400 --> 0:25:17.359
<v Speaker 4>Years ago, it was I think at one point a

0:25:17.359 --> 0:25:20.119
<v Speaker 4>Republican seat, but let's say about as recently as fifteen

0:25:20.160 --> 0:25:23.240
<v Speaker 4>years ago, it was represented by a plasma physicist, Rush

0:25:23.240 --> 0:25:26.960
<v Speaker 4>Holt oh Cool Russia is a physicist, five time Jeopardy winner,

0:25:27.320 --> 0:25:29.639
<v Speaker 4>and so he won a very very close race against

0:25:29.680 --> 0:25:31.800
<v Speaker 4>a Republican. And then for the last twelve years it's

0:25:31.800 --> 0:25:33.520
<v Speaker 4>been represented by Bonnie Watson Coleman.

0:25:33.640 --> 0:25:34.160
<v Speaker 3>Congresswoman.

0:25:34.240 --> 0:25:38.000
<v Speaker 4>Coleman's turning eighty one this year pretty soon, and so

0:25:38.080 --> 0:25:40.919
<v Speaker 4>she's stepping down to a well earned retirement. And it's

0:25:40.960 --> 0:25:45.920
<v Speaker 4>an open seat, and because of some regressive ballot laws

0:25:45.920 --> 0:25:48.399
<v Speaker 4>that I play a small role in overturning, it's a

0:25:48.440 --> 0:25:51.919
<v Speaker 4>free for all. Anybody can run and there's eighteen candidates it's.

0:25:51.760 --> 0:25:52.560
<v Speaker 3>A wild ride.

0:25:52.680 --> 0:25:55.320
<v Speaker 1>I want you to talk about the regressive ballot laws

0:25:55.359 --> 0:25:57.399
<v Speaker 1>in New Jersey because a lot of states have this

0:25:57.680 --> 0:26:02.639
<v Speaker 1>sort of weird low stuff. New Jersey had one that

0:26:02.680 --> 0:26:04.399
<v Speaker 1>we discovered. I'd let me talk about it.

0:26:04.560 --> 0:26:07.320
<v Speaker 4>As an neuroscientist, I think of it as a cognitive trick.

0:26:07.680 --> 0:26:09.800
<v Speaker 4>Most ballots you just have the office and then a

0:26:09.840 --> 0:26:12.680
<v Speaker 4>list of candidates. But the ballot in New Jersey has

0:26:12.760 --> 0:26:15.560
<v Speaker 4>this thing where candidates are listed in different places than

0:26:15.560 --> 0:26:18.399
<v Speaker 4>the ballot, and there's this one column of names, and

0:26:18.440 --> 0:26:21.880
<v Speaker 4>then one column of names is the party's preferred candidate

0:26:22.000 --> 0:26:25.840
<v Speaker 4>for Congress, for president, for Senate, for local council. And

0:26:25.880 --> 0:26:27.960
<v Speaker 4>this is a thing called the county line. And so

0:26:28.160 --> 0:26:30.360
<v Speaker 4>this funny arrangement has a lot of blank spaces on it,

0:26:30.440 --> 0:26:34.280
<v Speaker 4>and it fools the eye, and it gives as much

0:26:34.320 --> 0:26:37.320
<v Speaker 4>as a thirty eight point bonus to whoever the party elders,

0:26:37.600 --> 0:26:40.159
<v Speaker 4>you know, who their preferred candidate is. So that was

0:26:40.200 --> 0:26:42.040
<v Speaker 4>the law until a couple of years ago. There was

0:26:42.040 --> 0:26:44.240
<v Speaker 4>a lawsuit in which a number of US brought evidence

0:26:44.240 --> 0:26:46.080
<v Speaker 4>into federal court and we said, look, this is a

0:26:46.119 --> 0:26:48.640
<v Speaker 4>trick that it gets played on voters. It's against free

0:26:48.640 --> 0:26:51.359
<v Speaker 4>and fair elections, and this judge overturned it. So at

0:26:51.359 --> 0:26:54.000
<v Speaker 4>this point, the power of the party machine has gotten broken.

0:26:54.200 --> 0:26:56.480
<v Speaker 4>Last week in the district north of US in the

0:26:56.480 --> 0:27:00.320
<v Speaker 4>eleventh district, actually that district turned out very different. The

0:27:00.320 --> 0:27:03.679
<v Speaker 4>party endorsed candidates in that district came in third and fourth.

0:27:03.960 --> 0:27:07.200
<v Speaker 4>The next congresswoman from that district is probably going to

0:27:07.200 --> 0:27:11.080
<v Speaker 4>be Ana Lilia Mahia, and she came out of seemingly

0:27:11.119 --> 0:27:14.640
<v Speaker 4>nowhere and ran a populist campaign and was not endorsed,

0:27:14.960 --> 0:27:17.760
<v Speaker 4>and so you know, it feels like a new day

0:27:17.760 --> 0:27:20.440
<v Speaker 4>in New Jersey for more equitable elections.

0:27:20.680 --> 0:27:23.480
<v Speaker 1>So that was a special election to fill the Mikey

0:27:23.560 --> 0:27:24.399
<v Speaker 1>share All seat.

0:27:24.600 --> 0:27:26.200
<v Speaker 2>Yeah, it was a primary, right.

0:27:26.160 --> 0:27:29.280
<v Speaker 1>Special primary. Your primary is not going to be until June.

0:27:29.440 --> 0:27:30.120
<v Speaker 4>That's right, it's June.

0:27:30.200 --> 0:27:30.480
<v Speaker 2>Second.

0:27:30.720 --> 0:27:34.440
<v Speaker 1>It sounds like it's a pretty reliably blue seat, especially

0:27:34.960 --> 0:27:38.680
<v Speaker 1>in the coming cycle where Donald Trump has ice agents

0:27:38.720 --> 0:27:42.760
<v Speaker 1>occupying various American cities. So it is going to be

0:27:42.920 --> 0:27:46.320
<v Speaker 1>really an election that takes place in the primary. Oh yes,

0:27:46.640 --> 0:27:49.680
<v Speaker 1>so talk us through you know, these kind of primaries

0:27:49.720 --> 0:27:53.040
<v Speaker 1>is kind of very crowded. Primaries make very interesting contests.

0:27:53.080 --> 0:27:57.280
<v Speaker 1>So how are you campaigning in that primary? And you know,

0:27:57.320 --> 0:28:02.479
<v Speaker 1>they're ultimately usually kind of a math, right, these primaries.

0:28:01.920 --> 0:28:04.920
<v Speaker 4>With eighteen candidates, I mean, is technically possible to win

0:28:04.960 --> 0:28:07.840
<v Speaker 4>with ten percent of the vote. Realistically probably takes more

0:28:07.920 --> 0:28:10.320
<v Speaker 4>like twenty twenty five percent of the vote. So the

0:28:10.359 --> 0:28:13.320
<v Speaker 4>way to campaign, it's crazy because there's so many candidates,

0:28:13.359 --> 0:28:14.960
<v Speaker 4>and the question is how to rise up out of

0:28:14.960 --> 0:28:17.480
<v Speaker 4>the noise. A lot of the candidates in our district

0:28:17.520 --> 0:28:19.480
<v Speaker 4>are you know, the kind of people you might expect, Like,

0:28:19.520 --> 0:28:22.440
<v Speaker 4>you know, people have done local service, a local assembly woman,

0:28:22.680 --> 0:28:26.000
<v Speaker 4>several local mayors, people who are known to the small

0:28:26.000 --> 0:28:29.160
<v Speaker 4>sectors of the district. So we have one outsider who

0:28:29.200 --> 0:28:31.639
<v Speaker 4>lives outside the district who lost in the seventh district

0:28:31.640 --> 0:28:34.440
<v Speaker 4>two years ago to Tom Kain Junior, and so she's

0:28:34.520 --> 0:28:37.320
<v Speaker 4>moving closer to the district and so she's hoping to run.

0:28:37.800 --> 0:28:40.440
<v Speaker 4>It'll be her first time running for office. About half

0:28:40.480 --> 0:28:43.280
<v Speaker 4>the people running our first time candidates who have never

0:28:43.360 --> 0:28:44.200
<v Speaker 4>run for office before.

0:28:44.200 --> 0:28:45.160
<v Speaker 2>And I'm one of those people.

0:28:45.320 --> 0:28:47.520
<v Speaker 4>And yeah, how to stick out? I mean, I've made

0:28:47.520 --> 0:28:50.240
<v Speaker 4>a career out of both neuroscience and also working on

0:28:50.280 --> 0:28:53.520
<v Speaker 4>democracy reform, trying to empower people as an outsider, and

0:28:53.720 --> 0:28:55.280
<v Speaker 4>I'm the only one in the race has done that.

0:28:55.800 --> 0:28:59.280
<v Speaker 1>Talk us through the ways in which you have tried

0:28:59.320 --> 0:29:04.680
<v Speaker 1>to reform jerrymandering to make elections more fair and free.

0:29:04.840 --> 0:29:05.280
<v Speaker 3>Yeah, you know.

0:29:05.400 --> 0:29:07.840
<v Speaker 4>I use my science to try to find ways to

0:29:07.880 --> 0:29:11.720
<v Speaker 4>equalize voter power. And I years ago started analyzing the

0:29:11.760 --> 0:29:14.880
<v Speaker 4>electoral college to understand how voters are more powerful in

0:29:14.960 --> 0:29:17.280
<v Speaker 4>some states than others. And I tried to use that

0:29:17.320 --> 0:29:19.480
<v Speaker 4>to encourage people to go campaign and get out the

0:29:19.560 --> 0:29:22.160
<v Speaker 4>vote and so on in places where they could make

0:29:22.200 --> 0:29:24.360
<v Speaker 4>the most difference with their federal citizens. As you and

0:29:24.360 --> 0:29:26.959
<v Speaker 4>I have talked about before, I work on jerrymandering at Princeton.

0:29:27.000 --> 0:29:29.959
<v Speaker 4>I've started the Princeton Jerrymandering Project where we've come up

0:29:30.000 --> 0:29:32.880
<v Speaker 4>with a report card to grade offenses, and it's a

0:29:32.920 --> 0:29:36.040
<v Speaker 4>non partisan report card that calls out offenses on both sides.

0:29:36.200 --> 0:29:39.400
<v Speaker 4>And using that report card, we've discovered offenses all over

0:29:39.440 --> 0:29:42.600
<v Speaker 4>the country. And that report card has demonstrated that there

0:29:42.640 --> 0:29:45.400
<v Speaker 4>is a national law that if we enacted, it could

0:29:45.440 --> 0:29:49.080
<v Speaker 4>stop this gerrymandering war that we see independent citizen commissions.

0:29:49.360 --> 0:29:53.000
<v Speaker 4>And so our math and analytics show that independent citizen

0:29:53.040 --> 0:29:55.959
<v Speaker 4>commissions are the very best way to end jerrymandering. So

0:29:56.000 --> 0:29:58.360
<v Speaker 4>that's the thing that I would like to do in Congress.

0:29:59.200 --> 0:30:02.000
<v Speaker 4>And now I actually these days off campus, I have

0:30:02.560 --> 0:30:05.920
<v Speaker 4>a nonprofit organization, the Electoral Innovation Lab, and the Electoral

0:30:05.920 --> 0:30:08.600
<v Speaker 4>Innovation Lab again is trying to take all these ideas

0:30:08.800 --> 0:30:12.080
<v Speaker 4>out of the academic halls and put them into practice,

0:30:12.280 --> 0:30:15.280
<v Speaker 4>so help people bring about ranked choice voting, help people

0:30:15.800 --> 0:30:19.160
<v Speaker 4>defend elections where they're under attack. We've been doing analytics

0:30:19.480 --> 0:30:23.040
<v Speaker 4>to show where attacks on elections might lead to the

0:30:23.040 --> 0:30:27.480
<v Speaker 4>most damage, like in Minnesota, in North Carolina.

0:30:27.560 --> 0:30:28.200
<v Speaker 2>In Texas.

0:30:28.600 --> 0:30:31.440
<v Speaker 4>So again it's all my basic game has been trying

0:30:31.440 --> 0:30:34.600
<v Speaker 4>to understand the whole system, find the weak points, stop

0:30:34.680 --> 0:30:37.640
<v Speaker 4>damage this year, and build a better system so we

0:30:37.720 --> 0:30:38.600
<v Speaker 4>never see this again.

0:30:38.920 --> 0:30:42.200
<v Speaker 1>Talk to me about ranked choice voting because I have questioned.

0:30:42.000 --> 0:30:44.880
<v Speaker 4>Yeah, ranked choice voting is when you have a lot

0:30:44.920 --> 0:30:47.760
<v Speaker 4>of choices. So in a plurality election where whoever gets

0:30:47.800 --> 0:30:50.440
<v Speaker 4>the most where everyone picks one candidate and then whichever

0:30:50.480 --> 0:30:53.000
<v Speaker 4>candidate gets the most vote wins, that's called plurality voting.

0:30:53.480 --> 0:30:57.000
<v Speaker 4>That tends to build two political parties. And one big

0:30:57.080 --> 0:30:58.880
<v Speaker 4>driver of why we have two parties that are so

0:30:58.960 --> 0:31:02.040
<v Speaker 4>far apart is choice voting and a really determined faction

0:31:02.560 --> 0:31:04.920
<v Speaker 4>can take over one party and drive it over the

0:31:05.040 --> 0:31:07.400
<v Speaker 4>edge and make them crazy, and you know we're living

0:31:07.400 --> 0:31:09.560
<v Speaker 4>through that. So ranked choice voting is a way to

0:31:10.600 --> 0:31:12.560
<v Speaker 4>let you mark your first choice and your second choice

0:31:12.560 --> 0:31:15.400
<v Speaker 4>in your third choice, and it's a way of counting

0:31:15.440 --> 0:31:18.280
<v Speaker 4>those votes to find out who the consensus choice is,

0:31:18.640 --> 0:31:22.200
<v Speaker 4>and it prevents the possibility of a really small faction

0:31:22.760 --> 0:31:26.720
<v Speaker 4>taking over the whole system. So today, you know, Republicans

0:31:26.720 --> 0:31:29.400
<v Speaker 4>and Democrats are each one third of the voters, About

0:31:29.440 --> 0:31:31.640
<v Speaker 4>one third can take over one of those parties, and

0:31:31.720 --> 0:31:34.080
<v Speaker 4>so one ninth of the voters can like completely up

0:31:34.160 --> 0:31:36.080
<v Speaker 4>end the system. And ranked choice voting is a way

0:31:36.080 --> 0:31:37.520
<v Speaker 4>of preventing that.

0:31:37.680 --> 0:31:41.880
<v Speaker 1>I would love you to talk about your district and

0:31:42.240 --> 0:31:44.480
<v Speaker 1>how you're going to win this primary.

0:31:44.960 --> 0:31:47.680
<v Speaker 4>So it has been interesting to me to take, you know,

0:31:47.760 --> 0:31:50.960
<v Speaker 4>my broad knowledge as an outsider, as an analyst and say, okay,

0:31:50.960 --> 0:31:52.600
<v Speaker 4>you know what, let's apply it to one district. So

0:31:52.920 --> 0:31:55.800
<v Speaker 4>this district, which is in Central Jersey, is pretty diverse.

0:31:55.920 --> 0:31:59.080
<v Speaker 4>It's fifty nine percent non white. The largest non white

0:31:59.080 --> 0:32:01.920
<v Speaker 4>group is Asian American Pacific Islanders. And you may have

0:32:01.960 --> 0:32:04.760
<v Speaker 4>noticed that I'm Asian, and so that's a community in

0:32:04.800 --> 0:32:08.240
<v Speaker 4>which they automatically noticed me. So my theory of winning

0:32:08.400 --> 0:32:11.440
<v Speaker 4>is that Asian American voters are about twenty five percent

0:32:11.520 --> 0:32:13.520
<v Speaker 4>of the voting age population of the district.

0:32:13.800 --> 0:32:14.520
<v Speaker 3>That's a lot.

0:32:14.600 --> 0:32:16.960
<v Speaker 4>And so these towns that I was reeling off before,

0:32:17.040 --> 0:32:20.960
<v Speaker 4>Montgomery West windsor Plainsboro, South Brunswick, these places are close

0:32:21.000 --> 0:32:24.120
<v Speaker 4>to fifty percent Asian East Asians and South Asians. And

0:32:24.160 --> 0:32:26.680
<v Speaker 4>so you know, I had this idea of like going

0:32:26.720 --> 0:32:29.320
<v Speaker 4>and visiting these places because I've lived here twenty six years,

0:32:29.520 --> 0:32:31.240
<v Speaker 4>and I thought, why don't I go to all these

0:32:31.240 --> 0:32:34.640
<v Speaker 4>great restaurants and places in these towns, And I want

0:32:34.680 --> 0:32:37.920
<v Speaker 4>to like basically go and like shoot like little TikTok

0:32:38.040 --> 0:32:41.840
<v Speaker 4>videos of these cool places that have like Moroccan food

0:32:41.880 --> 0:32:45.120
<v Speaker 4>and Chinese food and Korean food and Soul food and

0:32:45.160 --> 0:32:48.040
<v Speaker 4>Mexican food, and just like say, look, guys, this is

0:32:48.080 --> 0:32:51.760
<v Speaker 4>a fantastic diverse district. We all need protection, we all

0:32:51.760 --> 0:32:54.760
<v Speaker 4>need to thrive, and look, hey, here's some Moroccan food.

0:32:55.200 --> 0:32:56.760
<v Speaker 4>So I thought maybe something like that.

0:32:57.200 --> 0:32:59.840
<v Speaker 1>You also are part of Princeton, which is a huge,

0:33:00.160 --> 0:33:05.200
<v Speaker 1>incredible university in New Jersey that is involved in civic life,

0:33:05.240 --> 0:33:08.960
<v Speaker 1>and your work for Princeton has been largely about improving

0:33:09.040 --> 0:33:10.000
<v Speaker 1>civic life, right.

0:33:10.280 --> 0:33:12.560
<v Speaker 4>Yeah, And you know, Princeton's been a really wonderful home

0:33:12.600 --> 0:33:15.560
<v Speaker 4>to me. They recruited me to do my neuroscience. It's

0:33:15.640 --> 0:33:19.160
<v Speaker 4>led me to make discoveries and autism. They encourage civic engagement.

0:33:19.200 --> 0:33:22.120
<v Speaker 4>I mean, I speak for myself and not for the university.

0:33:22.280 --> 0:33:24.720
<v Speaker 4>I'm always my own person, and they encourage that. But

0:33:24.720 --> 0:33:26.600
<v Speaker 4>they also they want me to be that I don't

0:33:26.600 --> 0:33:28.320
<v Speaker 4>speak for the school. I speak for myself.

0:33:28.680 --> 0:33:32.080
<v Speaker 1>At a moment, though, when this administration is at war

0:33:32.680 --> 0:33:37.880
<v Speaker 1>with universities, oh yes, and with funding for research, I

0:33:37.920 --> 0:33:41.960
<v Speaker 1>wonder if you could speak to we've seen like war

0:33:42.040 --> 0:33:46.640
<v Speaker 1>with scientific research, war with science just more generally, I'd

0:33:46.640 --> 0:33:49.600
<v Speaker 1>love you to talk about what you have seen over

0:33:49.640 --> 0:33:51.760
<v Speaker 1>the last year and what you think.

0:33:51.760 --> 0:33:52.480
<v Speaker 3>Here at Princeton.

0:33:52.880 --> 0:33:56.080
<v Speaker 4>Our president, Crisis Scruper, has fought back and stood up

0:33:56.120 --> 0:33:58.960
<v Speaker 4>for academic freedom and for science. I think we've held

0:33:59.040 --> 0:34:01.800
<v Speaker 4>up better than a lot of places. But look, everybody's

0:34:01.880 --> 0:34:04.680
<v Speaker 4>under attack. And so first there was an attack to

0:34:05.080 --> 0:34:07.600
<v Speaker 4>cut drastically overhead costs that we can't even keep the

0:34:07.680 --> 0:34:08.120
<v Speaker 4>lights on.

0:34:08.800 --> 0:34:12.840
<v Speaker 1>Right. That was Elon Musk deciding that NIH grants should

0:34:12.880 --> 0:34:14.480
<v Speaker 1>only be fifteen percent.

0:34:14.880 --> 0:34:15.279
<v Speaker 4>That's right.

0:34:15.280 --> 0:34:16.240
<v Speaker 3>And then the next attack.

0:34:16.560 --> 0:34:20.040
<v Speaker 4>One of the attacks is happening now is forcing NIH grants,

0:34:20.040 --> 0:34:22.719
<v Speaker 4>which are the lifeblood of American biomedical research, to force

0:34:22.760 --> 0:34:25.279
<v Speaker 4>these multi year grants to be paid out all in

0:34:25.320 --> 0:34:27.279
<v Speaker 4>the current fiscal years. So if I get a grant

0:34:27.280 --> 0:34:29.680
<v Speaker 4>from NIH and I get NH money, if I get

0:34:29.719 --> 0:34:32.160
<v Speaker 4>an NIH grant for multiple years, all the money has

0:34:32.200 --> 0:34:34.120
<v Speaker 4>to come out this year. And what that does is

0:34:34.160 --> 0:34:36.560
<v Speaker 4>it spends down all the money this year, and it

0:34:36.640 --> 0:34:38.399
<v Speaker 4>starves other laboratories.

0:34:38.600 --> 0:34:40.600
<v Speaker 1>Why are they doing it, well, lord.

0:34:40.440 --> 0:34:41.960
<v Speaker 3>I do not know why they're doing.

0:34:42.880 --> 0:34:45.920
<v Speaker 4>The charitable interpretation is not thinking about the impacts on

0:34:45.960 --> 0:34:49.640
<v Speaker 4>American science. And the more sinister interpretation is to weaken

0:34:49.680 --> 0:34:52.840
<v Speaker 4>American science because American science in some ways is considered

0:34:52.840 --> 0:34:56.160
<v Speaker 4>a threat to building more equal society, and so because

0:34:56.520 --> 0:35:01.240
<v Speaker 4>damaging science hurts that goal, therefore it's good to weaken science,

0:35:01.520 --> 0:35:04.839
<v Speaker 4>you know, and also has the secondary consequence of hurting universities.

0:35:04.880 --> 0:35:07.320
<v Speaker 4>I mean, I do research here, I teach my students.

0:35:07.520 --> 0:35:09.719
<v Speaker 4>If I can't do my research, then I can no

0:35:09.800 --> 0:35:12.879
<v Speaker 4>longer be a leading researcher. I can no longer teach

0:35:12.920 --> 0:35:15.760
<v Speaker 4>my students about what's happening. It makes for a worse environment.

0:35:15.840 --> 0:35:17.280
<v Speaker 4>And this is you know, this is true at private

0:35:17.360 --> 0:35:22.000
<v Speaker 4>universities like Princeton, public universities like Rutgers and University of California.

0:35:22.040 --> 0:35:24.239
<v Speaker 4>But you know the deep why, I mean, why are

0:35:24.280 --> 0:35:27.600
<v Speaker 4>all our systems under attack by a runaway executive branch?

0:35:27.960 --> 0:35:31.080
<v Speaker 1>So why we certainly see that, I mean not a lot,

0:35:31.160 --> 0:35:33.560
<v Speaker 1>but some of this research is being picked up by

0:35:33.640 --> 0:35:37.560
<v Speaker 1>other countries. Have you seen that in the field? And

0:35:37.640 --> 0:35:38.480
<v Speaker 1>what does that look like?

0:35:39.080 --> 0:35:42.160
<v Speaker 4>Usually science is a team sport and it's international, and

0:35:42.719 --> 0:35:46.200
<v Speaker 4>generation after generation people have come from other countries to

0:35:46.320 --> 0:35:48.920
<v Speaker 4>study in the United States and sometimes they stay. I mean,

0:35:49.000 --> 0:35:51.239
<v Speaker 4>I can't count the number of star graduate students and

0:35:51.280 --> 0:35:53.480
<v Speaker 4>postdocs who have come to my lab, and then many

0:35:53.560 --> 0:35:55.480
<v Speaker 4>of them I'm stayed in the United States. And that

0:35:55.600 --> 0:35:58.040
<v Speaker 4>is a pipeline. I mean, look look at the CEOs

0:35:58.080 --> 0:36:00.320
<v Speaker 4>of all these tech companies, like most of them actually

0:36:00.560 --> 0:36:02.799
<v Speaker 4>came from other countries. In the last year, it's become

0:36:02.880 --> 0:36:05.480
<v Speaker 4>much harder to persuade scholars from other countries to study

0:36:05.480 --> 0:36:08.320
<v Speaker 4>in the United States. I've had even people from countries

0:36:08.320 --> 0:36:11.400
<v Speaker 4>that are not in the crosshairs, like the Netherlands or Spain,

0:36:11.840 --> 0:36:14.480
<v Speaker 4>express reluctance about coming to the US to study. So

0:36:14.520 --> 0:36:16.920
<v Speaker 4>it's hard on those grounds. I know people who are

0:36:16.960 --> 0:36:20.160
<v Speaker 4>talking about leaving the United States. Only a few have

0:36:20.239 --> 0:36:22.439
<v Speaker 4>done so. But people in the United States are looking

0:36:22.480 --> 0:36:25.520
<v Speaker 4>for ways to build their research careers. And you know,

0:36:25.680 --> 0:36:28.960
<v Speaker 4>someplace like Europe is a more nurturing place for researchers

0:36:29.000 --> 0:36:32.560
<v Speaker 4>now and China right, and China, yeah, and morale is down.

0:36:32.600 --> 0:36:34.760
<v Speaker 4>I mean, I got to say, we've had town halls

0:36:34.800 --> 0:36:37.480
<v Speaker 4>here where graduate students and post docs want to know, like,

0:36:37.560 --> 0:36:39.600
<v Speaker 4>what's going to become of us? Is anyone going to

0:36:39.640 --> 0:36:42.520
<v Speaker 4>protect us? And so yeah, it's actually a really tough

0:36:42.560 --> 0:36:45.319
<v Speaker 4>time for scientists, and scientists who are usually not very

0:36:45.320 --> 0:36:47.520
<v Speaker 4>political are starting to notice the problem.

0:36:47.640 --> 0:36:50.120
<v Speaker 1>I want you to say more about China because that

0:36:50.320 --> 0:36:53.360
<v Speaker 1>blows my mind. I mean, how worried are you about

0:36:53.360 --> 0:36:57.800
<v Speaker 1>a world where China is a better home descientist in America?

0:36:57.840 --> 0:36:58.840
<v Speaker 1>And is it still not?

0:36:59.000 --> 0:36:59.320
<v Speaker 3>Really?

0:36:59.719 --> 0:37:02.200
<v Speaker 4>China science has gotten better and better. You know, it

0:37:02.280 --> 0:37:04.480
<v Speaker 4>used to be not so many years ago that a

0:37:04.520 --> 0:37:06.200
<v Speaker 4>lot of the work was not so high grade. But

0:37:06.480 --> 0:37:09.640
<v Speaker 4>I've had friends who have visited China and seen great

0:37:09.680 --> 0:37:12.640
<v Speaker 4>research institutions being built up there. There are some problems

0:37:12.719 --> 0:37:16.480
<v Speaker 4>with Chinese research journals, some of them are kind of sketchy,

0:37:16.680 --> 0:37:19.440
<v Speaker 4>but the best research coming out of China is absolutely

0:37:19.440 --> 0:37:22.080
<v Speaker 4>world class. And yeah, if we think of China as

0:37:22.080 --> 0:37:24.480
<v Speaker 4>an adversary for the United States, then guess what that

0:37:24.600 --> 0:37:27.760
<v Speaker 4>adversary is becoming pretty good at technology, pretty good at science,

0:37:27.960 --> 0:37:29.480
<v Speaker 4>and you know, and here we are not cooperating.

0:37:29.560 --> 0:37:32.520
<v Speaker 1>I mean, I mean, we are making them when if

0:37:32.520 --> 0:37:35.440
<v Speaker 1>we're an adversary of China, which I don't necessarily think

0:37:35.480 --> 0:37:37.799
<v Speaker 1>we are, but if we are, there are scientists who

0:37:37.800 --> 0:37:40.240
<v Speaker 1>are going over there because it's better.

0:37:40.600 --> 0:37:41.120
<v Speaker 2>Oh yeah.

0:37:41.320 --> 0:37:44.160
<v Speaker 4>Like I had one colleague who's driven out of his position,

0:37:44.360 --> 0:37:46.840
<v Speaker 4>a leading research in New York City, and he immigrated

0:37:46.880 --> 0:37:49.759
<v Speaker 4>to the United States decades ago from China, and then

0:37:49.800 --> 0:37:51.719
<v Speaker 4>he got caught up in the what I think he

0:37:51.840 --> 0:37:54.719
<v Speaker 4>was part of the China initiative, this thing to crack

0:37:54.760 --> 0:37:58.680
<v Speaker 4>down on bad interactions, and he got investigated and he

0:37:58.760 --> 0:38:01.480
<v Speaker 4>now is running a thriving lab in China, you know,

0:38:01.520 --> 0:38:03.680
<v Speaker 4>and he's doing great work there. But it was hard

0:38:03.680 --> 0:38:05.160
<v Speaker 4>on him and bad for us.

0:38:05.400 --> 0:38:08.880
<v Speaker 1>Yeah, it's sort of self inflicted anti science wound.

0:38:09.160 --> 0:38:11.040
<v Speaker 4>I mean, yeah, like my parents immigrated to the US

0:38:11.040 --> 0:38:13.200
<v Speaker 4>in the nineteen sixties, and when I was born. In

0:38:13.239 --> 0:38:15.360
<v Speaker 4>my baby book, my father said I want him to

0:38:15.360 --> 0:38:18.000
<v Speaker 4>get his PhD in science by the age twenty five.

0:38:18.160 --> 0:38:18.680
<v Speaker 2>And I saw that.

0:38:18.719 --> 0:38:21.520
<v Speaker 4>I'm like, okay, Dad, But you know, he came wanting

0:38:21.760 --> 0:38:23.960
<v Speaker 4>me to do this. And so immigrants make it possible

0:38:24.120 --> 0:38:26.880
<v Speaker 4>for science to grow, including from China. Yeah, Like normally

0:38:26.880 --> 0:38:28.680
<v Speaker 4>you talk about Jerry Mannering here, I was talking about

0:38:28.719 --> 0:38:31.120
<v Speaker 4>my parents, and so there's there's sort of a candidate

0:38:31.160 --> 0:38:33.160
<v Speaker 4>thing where people have to talk about themselves more and

0:38:33.160 --> 0:38:34.239
<v Speaker 4>I'm kind of getting used to that.

0:38:34.600 --> 0:38:38.160
<v Speaker 1>Yeah, it's a differend to be to go from being

0:38:38.280 --> 0:38:40.680
<v Speaker 1>a republic intellectual to a candidate.

0:38:40.960 --> 0:38:42.840
<v Speaker 4>Well, you know, I'm used to talking about ideas about

0:38:42.920 --> 0:38:45.200
<v Speaker 4>how we can make democracy work better. And I'm just

0:38:45.239 --> 0:38:49.319
<v Speaker 4>realizing that people are so oriented towards personality and individuals

0:38:49.360 --> 0:38:51.760
<v Speaker 4>that I think that it's I can make more progress

0:38:51.840 --> 0:38:54.520
<v Speaker 4>by getting out there into the fray and being the

0:38:54.520 --> 0:38:57.040
<v Speaker 4>person talking about it. And so for me, this is

0:38:57.080 --> 0:39:00.800
<v Speaker 4>not just representing my district, which is essential, but also

0:39:00.920 --> 0:39:03.200
<v Speaker 4>hopefully I don't know, there's people who are big thinkers

0:39:03.200 --> 0:39:06.160
<v Speaker 4>like Jamie Raskin or Don Byer, and I'm hoping to

0:39:06.200 --> 0:39:08.319
<v Speaker 4>be a junior partner to them and be right there

0:39:08.520 --> 0:39:09.080
<v Speaker 4>to help out.

0:39:09.280 --> 0:39:13.120
<v Speaker 1>I love that so much. Talk about the gerrymandering wars,

0:39:13.320 --> 0:39:13.799
<v Speaker 1>well just.

0:39:13.920 --> 0:39:17.080
<v Speaker 4>I mean, it's just continuing, right. It's weirdly that it's

0:39:17.120 --> 0:39:19.080
<v Speaker 4>come to a bit of a stalemate, and it started

0:39:19.120 --> 0:39:22.239
<v Speaker 4>in Texas, spread to California. Thankfully, a few states held back,

0:39:22.280 --> 0:39:25.080
<v Speaker 4>like Indiana, and so you know, we did analytics showing

0:39:25.200 --> 0:39:27.480
<v Speaker 4>that something like one out of three people in Indiana

0:39:27.520 --> 0:39:29.520
<v Speaker 4>would be moved to a new district, and so a

0:39:29.560 --> 0:39:32.960
<v Speaker 4>few states have hung back, Indiana and Kansas. That's good.

0:39:33.200 --> 0:39:35.680
<v Speaker 4>Looks like Maryland's trying, but I think the Democrats there

0:39:35.760 --> 0:39:38.000
<v Speaker 4>might step back from the brank, so that's good. But

0:39:38.120 --> 0:39:40.880
<v Speaker 4>now you know, looks like Virginia might move forward, and

0:39:40.920 --> 0:39:43.279
<v Speaker 4>that's going to be a multi seat jerrymander for Democrats.

0:39:43.400 --> 0:39:45.280
<v Speaker 4>Probably in the next few months. It's going to be Florida.

0:39:45.400 --> 0:39:47.960
<v Speaker 4>So I would say right now Democrats are actually a

0:39:48.000 --> 0:39:50.560
<v Speaker 4>head by a few seats. Once Florida jumps in the mix,

0:39:50.600 --> 0:39:53.040
<v Speaker 4>it'll probably be even again. But in the end we're

0:39:53.040 --> 0:39:55.120
<v Speaker 4>going to talk about it'll be like eight states.

0:39:55.320 --> 0:39:59.520
<v Speaker 1>But what about the Voting Rights Act? Isn't the Supreme

0:39:59.560 --> 0:40:02.400
<v Speaker 1>Court won't they roll on the voting right to act?

0:40:02.760 --> 0:40:05.959
<v Speaker 4>Yes, the Calais case or however you sent, that case

0:40:06.040 --> 0:40:09.200
<v Speaker 4>is going to possibly open the gates for racial gerrymandering.

0:40:09.320 --> 0:40:12.399
<v Speaker 4>And so that case might make it much harder for

0:40:12.520 --> 0:40:16.320
<v Speaker 4>communities of color to be represented in Congress, in legislatures,

0:40:16.520 --> 0:40:18.640
<v Speaker 4>and like you know, in county government, like up and

0:40:18.680 --> 0:40:21.320
<v Speaker 4>down the ticket, up and down all levels of government.

0:40:21.400 --> 0:40:24.920
<v Speaker 4>That case could be a pretty big deal for minority representation.

0:40:25.160 --> 0:40:28.480
<v Speaker 1>And would that happen this year? Would it be for

0:40:28.560 --> 0:40:30.200
<v Speaker 1>these midterms or for next?

0:40:30.560 --> 0:40:32.400
<v Speaker 4>I think a lot of that would be for next

0:40:32.440 --> 0:40:34.600
<v Speaker 4>And so there's a few things that have already happened.

0:40:34.680 --> 0:40:36.960
<v Speaker 4>Depending on how that goes, it's going to foreclose lawsuits

0:40:36.960 --> 0:40:41.000
<v Speaker 4>in Texas, Louisiana, and upcoming Florida. But that's those maps

0:40:41.080 --> 0:40:43.480
<v Speaker 4>either have been already enacted or will be enacted soon.

0:40:43.800 --> 0:40:47.399
<v Speaker 4>There's a handful of seats that could affect in Alabama, Mississippi,

0:40:47.480 --> 0:40:51.359
<v Speaker 4>some other places. I think, honestly, at some level, as

0:40:51.440 --> 0:40:54.839
<v Speaker 4>bad as that case is in the long term this year,

0:40:55.560 --> 0:40:58.560
<v Speaker 4>it's already been priced in because many of those laws

0:40:58.600 --> 0:41:01.799
<v Speaker 4>have already been enacted or there's not enough time. That's

0:41:01.800 --> 0:41:05.120
<v Speaker 4>a long term problem, and so there might be time six, Yeah,

0:41:05.360 --> 0:41:07.480
<v Speaker 4>could be fixed. We need a Voting Rights Act every

0:41:07.480 --> 0:41:09.560
<v Speaker 4>twenty years or so. We need to renew that act.

0:41:09.760 --> 0:41:12.440
<v Speaker 4>And so we need to put in racial protections. You know,

0:41:12.520 --> 0:41:15.160
<v Speaker 4>section two and section five. One of John Roberts's bits

0:41:15.200 --> 0:41:17.759
<v Speaker 4>of logic is it only applies to states with a

0:41:17.840 --> 0:41:20.919
<v Speaker 4>track record of racial discrimination, so therefore it doesn't treat

0:41:20.920 --> 0:41:23.480
<v Speaker 4>all states equally. And of course this makes my head explode.

0:41:23.560 --> 0:41:25.360
<v Speaker 4>But the way to fix that is, Okay, let us

0:41:25.400 --> 0:41:28.040
<v Speaker 4>apply section two and section five to every state. Done,

0:41:28.080 --> 0:41:29.920
<v Speaker 4>and then we will have that. And so, yeah, new

0:41:30.000 --> 0:41:31.680
<v Speaker 4>Voting Rights Act, if we can make it through this

0:41:31.760 --> 0:41:34.360
<v Speaker 4>November's election, I think the New Voting Rights Act should

0:41:34.360 --> 0:41:37.279
<v Speaker 4>be very top of agenda and hopefully can undo some

0:41:37.320 --> 0:41:39.600
<v Speaker 4>of the damage that we've seen to voting rights from

0:41:39.600 --> 0:41:40.360
<v Speaker 4>the Supreme Court.

0:41:40.600 --> 0:41:43.319
<v Speaker 1>Sam, thank you, thank you, thank you. I hope you'll

0:41:43.360 --> 0:41:43.799
<v Speaker 1>come back.

0:41:44.080 --> 0:41:44.760
<v Speaker 3>Thank you, Molly.

0:41:44.920 --> 0:41:47.600
<v Speaker 4>I have delighted to come back anytime next time, maybe

0:41:47.600 --> 0:41:48.480
<v Speaker 4>as a nominee.

0:41:50.280 --> 0:41:55.480
<v Speaker 1>No normal, Jesse Cannon bid fast.

0:41:55.560 --> 0:41:58.920
<v Speaker 2>So Republicans, there's this whole brand for as long as

0:41:58.920 --> 0:42:00.920
<v Speaker 2>you and I have been alive, that debt we have,

0:42:01.120 --> 0:42:04.040
<v Speaker 2>Oh my god, it's the ruin of our country. This debt.

0:42:04.280 --> 0:42:06.600
<v Speaker 2>We can't be standing for this. Yeah, I'm going to

0:42:06.640 --> 0:42:11.200
<v Speaker 2>shock you. Under the physical responsibility of mister Deal's president,

0:42:11.280 --> 0:42:14.120
<v Speaker 2>The federal debt has hit record levels and the Budget

0:42:14.120 --> 0:42:16.560
<v Speaker 2>Office has sent to a stirred warding to mister Trump.

0:42:16.800 --> 0:42:19.680
<v Speaker 1>Yeah, you're going to be shocked to hear this. But

0:42:20.120 --> 0:42:23.759
<v Speaker 1>Donald Trump, the man who is famous for having bankrupt

0:42:23.840 --> 0:42:27.240
<v Speaker 1>numerous businesses, is not so interested in the debt. And

0:42:27.280 --> 0:42:30.200
<v Speaker 1>I think there's a pretty good reason for that. Basically,

0:42:30.280 --> 0:42:35.319
<v Speaker 1>Trump has tried to reshape the economy, but when it

0:42:35.320 --> 0:42:38.560
<v Speaker 1>comes to budget, it's been a wash, and the country

0:42:38.680 --> 0:42:42.440
<v Speaker 1>is still basically on track to borrow what economists consider

0:42:42.480 --> 0:42:45.120
<v Speaker 1>an alarming amount of money in the coming years. Now,

0:42:45.239 --> 0:42:48.239
<v Speaker 1>there's a big problem here, which is the dollar. As

0:42:48.280 --> 0:42:52.719
<v Speaker 1>the dollar gets less valuable, it gets more expensive to

0:42:52.960 --> 0:42:57.319
<v Speaker 1>borrow money, and debt gets more expensive to service. And

0:42:57.360 --> 0:43:01.839
<v Speaker 1>that is a big problem, and we are on track

0:43:01.840 --> 0:43:04.520
<v Speaker 1>for that. Also, I want to point out Donald Trump

0:43:04.719 --> 0:43:08.640
<v Speaker 1>spends like a drunken saler. The funding for ICE is like,

0:43:08.960 --> 0:43:11.960
<v Speaker 1>you know what, four times most armies. I mean, it's

0:43:12.000 --> 0:43:16.080
<v Speaker 1>some eighty seven billion dollars, some crazy number. Buying of

0:43:16.200 --> 0:43:19.319
<v Speaker 1>ware hases, I mean, the idea that Ice is not

0:43:19.520 --> 0:43:22.520
<v Speaker 1>doing some sketchy stuff with all that money is I

0:43:22.520 --> 0:43:25.840
<v Speaker 1>would be shocked if people were not profiting off that money.

0:43:25.920 --> 0:43:29.600
<v Speaker 1>You know. Luckily you have Corey Lubandowski who's known to

0:43:29.680 --> 0:43:32.880
<v Speaker 1>be very honest and a straight shooter and someone who's

0:43:32.960 --> 0:43:36.400
<v Speaker 1>never ever, ever gotten in any kind of legal trouble

0:43:36.520 --> 0:43:40.760
<v Speaker 1>in any which way. So he's clearly operating on the level.

0:43:41.080 --> 0:43:43.160
<v Speaker 2>Oh yeah, that sounds exactly right to me.

0:43:43.280 --> 0:43:47.319
<v Speaker 1>That's really to be a good actor. They actually don't

0:43:47.360 --> 0:43:50.200
<v Speaker 1>even say sober as a judge. They say sober as

0:43:50.320 --> 0:43:51.520
<v Speaker 1>a Lubandowski.

0:43:51.800 --> 0:43:54.480
<v Speaker 2>You know. They call him much how we've rebranded wife

0:43:54.480 --> 0:43:57.080
<v Speaker 2>beaters two partner respectors. That's what they call him too.

0:43:57.200 --> 0:44:01.640
<v Speaker 1>Yeah, he's a big partner respector. And his boss, the

0:44:01.800 --> 0:44:06.320
<v Speaker 1>very smart and intelligent Christy Nome, has this under control.

0:44:06.480 --> 0:44:09.760
<v Speaker 1>So my guess is that they are not doing sketchy

0:44:09.760 --> 0:44:13.960
<v Speaker 1>stuff with all that money, no doubt. That's it for

0:44:14.040 --> 0:44:19.920
<v Speaker 1>this episode of Fast Politics. Tune in every Monday, Wednesday,

0:44:20.160 --> 0:44:24.640
<v Speaker 1>Thursday and Saturday to hear the best minds and politics

0:44:24.719 --> 0:44:29.000
<v Speaker 1>make sense of all this chaos. If you enjoy this podcast,

0:44:29.360 --> 0:44:32.320
<v Speaker 1>please send it to a friend and keep the conversation

0:44:32.480 --> 0:44:34.360
<v Speaker 1>going Thanks for listening,