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Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics,

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Speaker 1: where we discussed the top political headlines with some of

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Speaker 1: today's best minds. And Darlene Graham Nordone, the sister of

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Speaker 1: late Senator Lindsey Graham, will finish out Lindsey Graham's term.

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Speaker 1: We have such a great show for you. The Jim

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Speaker 1: Acosta Show is Jim Agosta steps by to talk about

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Speaker 1: Trump continuing his ill advised war against Iran. Ben will

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Speaker 1: talk to Run for Something's Own Amanda Littman about how

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Speaker 1: Democrats can and do recruit better candidates and don't make

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Speaker 1: mistakes like what happened in Maine. But first the news.

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Speaker 2: Bye, The American people are getting a huge economic stimulus

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Speaker 2: and by that I mean eighty one billion dollars in

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Speaker 2: return tariffs.

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Speaker 1: Yeah, okay, so here's what's happened. Donald Trump put on tariffs.

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Speaker 1: They were the one thing that this very maga Supreme

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Speaker 1: Court said no go, I mean basically everything else. They're like,

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Speaker 1: you want to be a god kid, okay, you want

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Speaker 1: to fire people at well, you got it. You wanted tariff.

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Speaker 1: The American people not so fast. And here we are

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Speaker 1: now the US has paid out eighty one billion dollars

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Speaker 1: in tariff refunds so far this fiscal year. Treasury Department's

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Speaker 1: official says the spike was almost entirely because of the

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Speaker 1: Supreme Court decision, with most of the refunds happening in

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Speaker 1: May and June. Trump has bitched the tariffs is a

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Speaker 1: fix all for the economy. But you know what happened.

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Speaker 1: You know who turned out to be right? Everyone who

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Speaker 1: said the tariffs are inflationary, inexpensive, and they made everything

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Speaker 1: more expensive. Even this Supreme Court, which is filled with

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Speaker 1: some of the worst maga siicofens, even they were like,

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Speaker 1: you can't do it.

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Speaker 2: So in other fun news, we're now all avoiding eating

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Speaker 2: lettuce because we have this Trump diarrhea thing going on

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Speaker 2: that RFK and the CDC stopped monitoring parasites about which

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Speaker 2: are causing explosive diarrhea across the country. As the headlines

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Speaker 2: all over every news site today.

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Speaker 1: We call it Trump Area. I like this brending because

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Speaker 1: Trump Area. It is both caused by Trump and also

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Speaker 1: not good for you. There you go, Trump Area. It's explosive.

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Speaker 1: It's because the CDC stop monitoring parasites. That's why. Thank you,

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Speaker 1: Elon Mush you know, when you stop regulating the water,

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Speaker 1: when you stop looking for parasites, parasites go. This was

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Speaker 1: under the watchful eye of Health Secretary and complete quack

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Speaker 1: Robert F. Kennedy Junior, because he pushed out critical federal

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Speaker 1: scientists and researchers. Do you know why he did that?

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Speaker 3: Oh?

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Speaker 2: I think it's because he is an insane person who

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Speaker 2: believes things that any quack says. He believes those things

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Speaker 2: to be the truth, because contrarianism is the thing that

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Speaker 2: eats your brain, just like a worm does.

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Speaker 1: Yeah, and it's not even contrarianus. He is also making

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Speaker 1: money on.

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Speaker 2: This, right, Yes, yes, yes, that's a great point.

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Speaker 1: The Children's Health Defense Fund makes money on all sorts

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Speaker 1: of anti vax conspiracies and vaccine injuries. This ain't like

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Speaker 1: just being a contrarian like Nicollespie. This is also about

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Speaker 1: being a genuinely bad guy. Now that said, a little

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Speaker 1: breaking news from this podcast. One of my new hobbies

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Speaker 1: is responding to RFK Junior's threat account.

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Speaker 2: I've noticed this. I mean it's been going on for

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Speaker 2: a week or two.

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Speaker 1: Huh. Yes, well, I was told to get hobbies, and

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Speaker 1: we've been on vacation and during our vacation, I needed

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Speaker 1: something to do, and so instead of doing something many

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Speaker 1: people might consider to be productive, I have been trolling

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Speaker 1: RFK Junior. When he resigns, I will have to get

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Speaker 1: another hobby.

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Speaker 2: Well, I guess this is better that sagof raccoon pedises

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Speaker 2: for some undoing reason.

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Speaker 1: Or the cutting off the head of a whale.

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Speaker 3: Yes, yes, this is true. You're having healthy hobbies. I'm

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Speaker 3: proud of you.

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Speaker 1: Yes, thank you. I have to go check if he's posted.

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Speaker 2: Okay, before you go, we need to talk about this

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Speaker 2: new vericy pole, which I think is a very interesting thing.

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Speaker 2: So one of the things that I think about our

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Speaker 2: sovereign wealth funds. You know, I had a friend recently

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Speaker 2: who was telling me about his country's one and all

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Speaker 2: the benefits he sees from it. And one of the

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Speaker 2: things we just saw on this vericye pole is that

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Speaker 2: the public supports overwhelmingly aggressive AI regulation and public stock transfers.

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Speaker 2: Where we would set up a sovereign wealth fund so

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Speaker 2: we would all live better off the things that AI

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Speaker 2: is robbing from us.

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Speaker 1: Okay, a few thoughts here. Heating AI is the new

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Speaker 1: eighty twenty issue. Okay, now wanting people to do congressional

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Speaker 1: stock trading hot take. This AI thing is a total

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Speaker 1: scam and it's not going to make so much money

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Speaker 1: that people are not going to have to work anymore.

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Speaker 1: But so I think again, like, do I think that

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Speaker 1: AI firms should transfer fifty percent of their stock to

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Speaker 1: a public? Un sure? Do I think that that fifty

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Speaker 1: percent is going to make it so we can all

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Speaker 1: have those Mercedes suv is, the ones that look like

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Speaker 1: they're from the army.

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Speaker 3: Are you looking for a g wagon?

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Speaker 1: A g wagon? Yes? No, I don't think that's going

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Speaker 1: to work.

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Speaker 2: I could just I could just see you bopping around,

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Speaker 2: well and I let it a g wagon. I could

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Speaker 2: see this for you.

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Speaker 1: I don't think that any of us should get g wagons.

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Speaker 1: More importantly, I don't think that AI stock is going

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Speaker 1: to fund our lifestyles. That said, do I think that

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Speaker 1: we should have tech regulation apps? Fucking lutely? And I

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Speaker 1: think that everyone thinks that. I also think, like, should

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Speaker 1: we bail out these AI companies when it turns out

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Speaker 1: that they've spent all their money building data farms that

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Speaker 1: are just poisoning our garment?

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Speaker 2: And now, yeah, I mean, what I really like about

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Speaker 2: this is that it shows that these people are very unpopular.

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Speaker 2: We're going to be able to run against them, and

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Speaker 2: we're going to try to use democracy to curb them

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Speaker 2: as much as possible. I don't really care about their earnings.

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Speaker 2: I care about that the sentiment is seeing this for

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Speaker 2: the grift that it is. Yep, okay, but let's talk

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Speaker 2: about seeing that in action. We actually have really great

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Speaker 2: evidence of this coming into fruition. Kathy Hokel, our governor,

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Speaker 2: has taken a very nice turn in the last year

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Speaker 2: where she's been very responsive to the views of her

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Speaker 2: voters on many subjects, and she has enacted the nation's

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Speaker 2: first statewide moratory on data centers.

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Speaker 1: Yes, so, Kathy Hokel, who is the governor of New York,

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Speaker 1: has really turned out to do a lot of this

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Speaker 1: stuff that a lot of us appreciate and like. Has

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Speaker 1: created a data center more to it is good. Why

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Speaker 1: is it good? Because data centers are big, they're expensive,

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Speaker 1: and they're bad for the environment. And also they don't

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Speaker 1: necessarily create jobs. They create construction jobs, but they don't

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Speaker 1: create long term jobs. As data centers can be put

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Speaker 1: together as one or two people or not one or

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Speaker 1: two people, but not the number of people you would

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Speaker 1: need to run a real business. So this is good.

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Speaker 1: Hokoll needs to sign it. She sometimes gets a little distracted,

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Speaker 1: so let's hope she signs it. You know, big tech

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Speaker 1: is easy to run against. It has not had any regulation,

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Speaker 1: it is terrified of any regulation, and it's not popular

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Speaker 1: as we as the item before those shows.

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Speaker 4: Ye.

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Speaker 1: Jim Acosta is the author of The Substack, The Jim

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Speaker 1: Acosta Show, and the author of the New York Times

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Speaker 1: bestseller The Enemy of the People, A Dangerous Time to

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Speaker 1: Tell the Truth in America. Welcome, Welcome, Jim Acosta.

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Speaker 3: Hi Molly, Hello, Hello, Hello, Hello. Here we go again.

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Speaker 1: Here we go again. We come to our Reflecting Pool correspondent,

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Speaker 1: Jim Acasta. But first, before we get to that breaking

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Speaker 1: Reflecting Pool news, we got to talk about Donald Trump's Vietnam.

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Speaker 1: Calls it his Vietnam. I'm not going at his Vietnam.

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Speaker 5: At least he finally has one. Now, I guess you

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Speaker 5: could say, but where do we start with this? How

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Speaker 5: many times has he ended the war with iron? I mean,

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Speaker 5: we're now at like times.

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Speaker 1: We are talking about something. Though more recently he talked

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Speaker 1: to Greg Kelly. You may remember Greg Kelly because he's

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Speaker 1: a son of Commissioner Kelly, commissioner Police Chief Commissioner Ray

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Speaker 1: Kelly again a NEPO baby myself, no shade to having

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Speaker 1: a famous parent. So Greg Kelly says in this interview, Donald,

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Speaker 1: how are you? And Trump says, I'm fine. I feel good.

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Speaker 1: The country's doing really well. We are attacking Iran right

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Speaker 1: now as we speak.

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Speaker 5: Yeah, I mean I think that it would be laughable

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Speaker 5: if it weren't so serious. And you know, he has

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Speaker 5: painted himself into a corner here. Obviously, there was some

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Speaker 5: talk that he was going to give some primetime addressed

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Speaker 5: to the country on Thursday night, but he wasn't going

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Speaker 5: to do it on Iran. He was going to do

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Speaker 5: it on election integrity. And then there was some reporting

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Speaker 5: that he might throw some Iran, some dashes of Iran

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Speaker 5: into it. Something tells me he's been phoning it in

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Speaker 5: on Iran and this rate of Hormuz, and it's becoming

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Speaker 5: abundantly clear now that he's gotten himself trapped in a

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Speaker 5: quagmire and the Iranians are just going to keep playing

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Speaker 5: him over and over again like a violin that you know,

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Speaker 5: has only one cord. And he's in a jam right

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Speaker 5: now and I don't see you know, we're going to

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Speaker 5: And what was he saying the other day that if

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Speaker 5: Iran assassinates him, there are instructions that have been given

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Speaker 5: to completely obliterate Iran.

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Speaker 3: I mean, this is this is like apocalypse now stuff.

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Speaker 5: You know, is he's staring up at the ceiling fan,

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Speaker 5: you know, on a nightly basis what's happening.

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Speaker 3: It's it's very bizarre.

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Speaker 1: My favorite part of the story is that he is

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Speaker 1: he tried to buy them off, right, because that's worked

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Speaker 1: with various people in his life before. So he sort

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Speaker 1: of says, you know, we're going to give you palettes

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Speaker 1: of cash and you can have this, and you can

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Speaker 1: have that. And it turns out that the Iyadtola doesn't

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Speaker 1: really give a fuck.

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Speaker 3: No.

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Speaker 5: I mean, what part of being called the Great Satan

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Speaker 5: for forty years does he not understand?

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Speaker 3: Or fifty years or word of yes?

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Speaker 5: I mean, you know, I was talking to Rob Emmanuel

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Speaker 5: about this, actually, I had him on my podcast and

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Speaker 5: I asked him, I said, you know, is it true.

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Speaker 5: It's been reported that basically the Israelis have gone to

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Speaker 5: every president and made the same pitch about Iran going

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Speaker 5: back like two generations.

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Speaker 3: He said, yes, basically that's what happened. And then yeah,

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Speaker 3: Trump took the baby.

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Speaker 1: You know, that is an amazing By the way, I

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Speaker 1: would like to just for two seconds Ram Emmanuel, who

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Speaker 1: is very conservative and probably won't ever be president, but

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Speaker 1: he's actually very saying some very interesting and important stuff.

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Speaker 1: And he went to Israel and he said to them, like,

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Speaker 1: you guys, this isn't we can't do this anymore.

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Speaker 3: He called it nutty.

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Speaker 5: He called it nutty on my podcast and he said

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Speaker 5: even more, you know, really tough stuff down at the

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Speaker 5: tell I think it was a Tel Aviv University or

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Speaker 5: something like that. And it's important that he's saying that.

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Speaker 5: It's a very important voice in this moment on that issue.

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Speaker 1: Yes, and it's very and Ram comes from his father

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Speaker 1: was one of this sort of fundamental Zionist people who

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Speaker 1: started Israel when Israel was very different than it's been

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Speaker 1: under net Yahoo and so but to have him say

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Speaker 1: this stuff, it's very meaningful.

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Speaker 3: Yeah.

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Speaker 5: No, I agree with that, and I think that you know,

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Speaker 5: will net Yahoo listen Probably not. He's not in a

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Speaker 5: place where he wants to listen to anybody, not even

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Speaker 5: Donald Trump. I mean Trump is the most exasperated person

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Speaker 5: on earth when it comes to Nan Yahuo, and he

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Speaker 5: gave Netanya how everything that he wanted, right, so that

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Speaker 5: just should I mean, it's now a lesson burned in

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Speaker 5: the brains of both, you know, political parties in this

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Speaker 5: country right now that net Nyahuo is not somebody you

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Speaker 5: want to follow into a foxhole at this point. I mean,

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Speaker 5: the people are saying that this is now Trump's forever war.

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Speaker 5: You know, you hate to use that kind of terminology

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Speaker 5: because you know the price that has been paid by

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Speaker 5: this country over the years and places, you know, after the.

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Speaker 3: War on Terror. But it's hard to see a way

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Speaker 3: out of this. It really is hard. Yeah.

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Speaker 1: I mean I also think like there are two things

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Speaker 1: happening here right which is Trump has fenced himself in

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Speaker 1: that I had told it, Like they're sort of trying

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Speaker 1: to figure out what it will take to get them

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Speaker 1: to reopen the straits which were open before this war,

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Speaker 1: and it looks like I'm not sure there's an easy

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Speaker 1: answer here. And what's going to happen as becomes clear

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Speaker 1: and clear that the straits are not going to reopen,

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Speaker 1: is the gas prices are going to go up and

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Speaker 1: up and up. Yes, and that is a problem for

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Speaker 1: the American people for affordability, but it's also really a

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Speaker 1: big problem for Republicans.

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Speaker 5: It's a political crisis for the Republican Party. They went

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Speaker 5: along with Trump's lie that this was going to be

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Speaker 5: over and what he said six weeks or eight weeks

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Speaker 5: or something along those lines, and four weeks and now

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Speaker 5: it is stretching in two months and it's hard to

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Speaker 5: see how you get this over with before the midterms.

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Speaker 5: And you're absolutely right, he did try to give away

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Speaker 5: the store. There was talk of hundreds of millions of

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Speaker 5: dollars that the Gulf countries were going to somehow open

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Speaker 5: the floodgates to which did he go and talk to

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Speaker 5: those countries about that beforehand before making that kind of offer. So,

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Speaker 5: you know, I think one of the more interesting things

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Speaker 5: that we're going to have to watch for over the

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Speaker 5: next couple of weeks is, you know, where's Mark or

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Speaker 5: Rubio on this?

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Speaker 3: Where's jd Vance on this?

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Speaker 5: Because how do any of these twenty twenty eight hopefuls

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Speaker 5: run for president if this is still on their backs,

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Speaker 5: if this is still an albatross hanging around their next

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Speaker 5: It's it's a huge problem.

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Speaker 1: It doesn't make any sense. And and the other thing

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Speaker 1: that I'm struck by in this moment is the question

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Speaker 1: of what Trump does to change the subject. And so like,

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Speaker 1: there's a theory of the case. I don't know how

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Speaker 1: much wait to give it, but that Donald Trump really

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Speaker 1: did start this war because he was wanting to destrive

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Speaker 1: from the Epstein files.

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Speaker 5: Yeah, no, And I mean, I definitely think that that's

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Speaker 5: a huge part of this. I would not be surprised

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Speaker 5: if that was one of the gears turning in his head.

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Speaker 5: I also think, you know, look at what they were.

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Speaker 5: There was some reporting that later on this week, on

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Speaker 5: Thursday night in prime time, that Trump wanted to give

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Speaker 5: this primetime address. I think ms NOW is reporting that

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Speaker 5: it was going to be on his batshit election, you know,

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Speaker 5: conspiracy theory.

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Speaker 1: I'm not sure. I'm not sure ms now ever ran

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Speaker 1: it down, but it was definitely online.

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Speaker 3: Yeah.

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Speaker 5: Yeah, And I think that, you know, the fact that

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Speaker 5: he wants to go and talk about that stuff rather

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Speaker 5: than this war that he's gotten himself totally a bear

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Speaker 5: trapped into is a very telling sign.

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Speaker 1: But I also think it's possible that he's told I

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Speaker 1: mean There's also like the thing that Trump World does

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Speaker 1: famously is that they is they pitch something, people go oh, no,

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Speaker 1: you can't do that, and then he's like, I was

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Speaker 1: never going to do that, libtard, right, I mean you've

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Speaker 1: seen that.

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Speaker 3: Yeah, No.

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Speaker 5: And I think he puts out these trial balloons. You know,

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Speaker 5: he goes on Fox and he's I mean, look at

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Speaker 5: the stuff that he has been saying over the last

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Speaker 5: you know, twenty four hours or forty eight hours since

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Speaker 5: the passing of Lindsey Graham.

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Speaker 3: I mean, he went and did the rounds, and.

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Speaker 5: It appears a lot of these networks make deals with

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Speaker 5: him where they would only ask him about Lindsay Graham,

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Speaker 5: and then he proceeds to talk about the Save America

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Speaker 5: Act and all of these different things. And then when

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Speaker 5: the reporter or the anchor tries to askep out other things,

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Speaker 5: he gets all huffy about it. But he was on

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Speaker 5: with Greg Kelly talking about, you know, his racehorse theory

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Speaker 5: as it relates to Lindsey Graham. I mean, this stuff is,

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Speaker 5: you know, at some point we got and this.

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Speaker 3: Goes back to the reflecting pool.

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Speaker 5: At some point we have to have the conversation the

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Speaker 5: twenty Fifth Amendment conversation as adults, grown ups in this country.

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Speaker 5: You know this is the Emperor has no marbles.

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Speaker 1: Speak for yourself. The razors theory. Need we need a

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Speaker 1: minute on the razorce theory. The razorce theory is that

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Speaker 1: you are the same as your parents, so how you

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Speaker 1: die will be the same as how your parents die. Yes, okay,

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Speaker 1: it truly insane theory with no medical or anything. But

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Speaker 1: my favorite part of the story is that like Donald

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Speaker 1: Trump's parents both had dementia.

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Speaker 3: Right, and his father was the son of a bitch.

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Speaker 3: You know, there's that too.

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Speaker 1: You know, but it's an insane way to the racehorse.

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Speaker 1: Why is it the racehorse?

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Speaker 3: You know?

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Speaker 5: It has I think he explained that, you know, if

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Speaker 5: you if you have you know, two really good racehorses

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Speaker 5: and you breed them, then you end up with a

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Speaker 5: much faster race worse.

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Speaker 3: I mean, it's that kind of it'sgenics.

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Speaker 5: You know, it's stuff out of the Third reich Y.

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Speaker 5: You know, it's crazy, batshit bananas stuff. And he and

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Speaker 5: he has I did a little bit of a deep

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Speaker 5: dive on this this morning because I can't believe he

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Speaker 5: said this last night, and he has been saying this

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Speaker 5: for a year.

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Speaker 3: He has been saying this kind of stuff. Four years.

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Speaker 5: He has used that term the racehorse theory. I think

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Speaker 5: going all the way back to like as far as

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Speaker 5: I can tell, two thousand and seven with Larry King

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Speaker 5: or something like that.

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Speaker 3: So this is who he is, you know.

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Speaker 1: Yeah, yeah, I'm telling you it is incredible. What I

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Speaker 1: really want to talk to you about is two things. First,

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Speaker 1: they drain the reflecting pool. So, as our reflecting Pool correspondent,

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Speaker 1: we need to get into the serious stuff here. You

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Speaker 1: have been at the reflecting pool.

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Speaker 3: I have, and thank you for that promotion.

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Speaker 5: To reflecting Pool correspondent, I'm now a man about town,

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Speaker 5: you know. I just go and show it with myself

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Speaker 5: my cell phone and record things humidity. But one of

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Speaker 5: the things I love about this story is that it

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Speaker 5: so neatly crystallizes how much of a crazy, stupid liar

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Speaker 5: he is. Exhibit A is the reflecting pool. He has

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Speaker 5: been saying for weeks that there's a three hundred fifty

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Speaker 5: foot gash down the middle of the reflecting pool. And

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Speaker 5: because the reflecting pool is such a hot mess that

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Speaker 5: has been screwed up by his no bid contractors, they've

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Speaker 5: got to drain it and fix it again, and.

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Speaker 1: Then my draining green water greenwater.

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Speaker 3: And a Trump donor who has a house near mar

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Speaker 3: Lago and all these things.

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Speaker 5: But then they drain the reflecting pool, and in doing

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Speaker 5: so they expose what a giant liar he is because

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Speaker 5: when I was down I went down there this morning,

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Speaker 5: there is no three hundred fifty foot gash, there are

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Speaker 5: no slash marks, there are no signs of major vandalism

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Speaker 5: anything approaching to what he's been saying. And all you say,

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Speaker 5: see a splotchy paint along the bottom of the reflecting pool.

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Speaker 5: So you know, listen, this is yet again an example.

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Speaker 5: And I, you know, I don't know how they're going

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Speaker 5: to mask this. You know, you know what what reflecting

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Speaker 5: pool bottom bottom paint they'll be using on Fox.

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Speaker 3: But they're going to have to use.

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Speaker 5: Several coats of it to you know, cover up the

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Speaker 5: fact that Trump has been lying through his teeth on this,

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Speaker 5: which we knew. And David Hern, by the way, he

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Speaker 5: was arrested for being accused of being a vandal. He

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Speaker 5: should sue the shit out of all of them, including

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Speaker 5: Donald Trump.

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Speaker 1: The olympian who got who got yes did? And you

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Speaker 1: had judge box of wine up there, being like we're

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Speaker 1: going to get him.

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Speaker 5: He should sue her, he should see Donald Trump. He

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Speaker 5: should sue all of them. There's no question about it.

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Speaker 5: Doug berghams to them all.

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Speaker 1: Yeah, exactly. Now, I'd love you to talk to us

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Speaker 1: for a minute. Besides a reflecting pool, which is incredible,

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Speaker 1: there are other Trump projects going on in the District

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Speaker 1: of Columbia. One is the fountains, which for some reason

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Speaker 1: the water has turned brown.

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Speaker 5: Yeah, some fountains that are okay. Other fountains they were okay,

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Speaker 5: then they turned brown. It's sort of a dog's breakfast.

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Speaker 5: But you have a whole panoply of rotten construction jobs

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Speaker 5: all around d C.

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Speaker 3: Of course, you have the East Wing, which.

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Speaker 5: Is still looks like a hole going It looks like,

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Speaker 5: you know, a giant, gaping wound in the middle of

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Speaker 5: the nation's capital is what it looks like with a

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Speaker 5: little bit of construction going on. You had the State

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Speaker 5: Fair where they built a mini Trump arch, and then

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Speaker 5: you had all the all the like oozing out of

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Speaker 5: it and goops and all the stuff and all the orange.

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Speaker 3: It was all bad.

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Speaker 1: And the State Fair is still going.

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Speaker 3: Oh I think they finally put it out of its misery.

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Speaker 3: I think when you know, when there was the tumbleweed

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Speaker 3: going across the National Mall, I think they said that's it.

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Speaker 3: You know, Krusty the clown came out and saying sending

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Speaker 3: the clowns. I think that was when they decided to,

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Speaker 3: you know, put it out.

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Speaker 1: Coda of the state is like four people looking lost, like.

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Speaker 5: It's so bad. I know I and nobody understands this reference.

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Speaker 5: But one of my very first reporting jobs in local

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Speaker 5: television was in Knoxville, Tennessee. And while it was in Knoxville, Tennessee,

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Speaker 5: The Simpsons did a TV show about how Bart Simpson

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Speaker 5: and his buddies wanted to go to the World's Fair

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Speaker 5: in Knoxville, Tennessee. And then they got there and they

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Speaker 5: find out that the World's Fair had occurred fourteen years earlier,

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Speaker 5: in nineteen eighty two, and that the sun Sphere in

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Speaker 5: Knoxville had been turned into a whigs sphere and it

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Speaker 5: was full of unsold wigs. That is basically what the

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Speaker 5: Great American State Fair became. It was like a Simpsons

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Speaker 5: episode of So Sad of Wiggs?

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Speaker 1: Is Trump's name down now? In the Kennedy Center on

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Speaker 1: the Kennedy.

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Speaker 3: Memorial it is evidently down.

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Speaker 1: No one can see it.

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Speaker 5: Why nobody can see it because they have the crazy

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Speaker 5: tacky tarp up. And then over the weekend, you know,

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Speaker 5: Sheldon Whitehouse's office put out all these documents from these whistleblowers.

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Speaker 5: They've been doing other renovation projects at the Kennedy Center

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Speaker 5: and fucking them up too, And they painted the pillars

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Speaker 5: and at the bottom of the pillars there's all this rust.

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Speaker 5: And then there's a reflecting pool over there that they

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Speaker 5: tried to fix and that looks like shit. And apparently

439
00:22:19,000 --> 00:22:22,040
Speaker 5: Trump was very involved in the process of fixing the

440
00:22:22,080 --> 00:22:25,439
Speaker 5: Kennedy Center. You can't fix Herron, but somehow he's going

441
00:22:25,480 --> 00:22:27,439
Speaker 5: to fix the Kennedy Center. Can we just not have

442
00:22:27,520 --> 00:22:29,399
Speaker 5: him fixed anything for a little while.

443
00:22:29,640 --> 00:22:33,720
Speaker 1: We're going to move on here to Schrodinger, Senator, But

444
00:22:33,880 --> 00:22:36,360
Speaker 1: first I would love you to just I just want

445
00:22:36,359 --> 00:22:38,680
Speaker 1: to say he is a developer, but he doesn't seem

446
00:22:38,720 --> 00:22:39,800
Speaker 1: like a very good developer.

447
00:22:40,040 --> 00:22:42,680
Speaker 5: No, and Molly, I mean, this is like the least

448
00:22:42,720 --> 00:22:45,200
Speaker 5: surprising thing to anybody who's been in New York City.

449
00:22:45,320 --> 00:22:47,360
Speaker 5: I mean, the New Yorkers know this. If you ever,

450
00:22:47,400 --> 00:22:49,240
Speaker 5: I mean, every New York. Every New Yorker is like,

451
00:22:49,680 --> 00:22:51,639
Speaker 5: let's go into Trump Tower for kicks. Let's just go

452
00:22:51,720 --> 00:22:52,159
Speaker 5: look at it.

453
00:22:52,480 --> 00:22:53,159
Speaker 3: And then you go in.

454
00:22:53,240 --> 00:22:56,960
Speaker 5: It's all this faded gold gold stuff and it doesn't

455
00:22:56,960 --> 00:22:57,400
Speaker 5: look good.

456
00:22:57,440 --> 00:23:00,840
Speaker 3: It looks like so rotting on bathroom.

457
00:23:01,280 --> 00:23:05,320
Speaker 1: It's true. Ron and On, the Republican senator from the

458
00:23:05,320 --> 00:23:10,200
Speaker 1: great state of Wisconsin, everyone's favorite, keeps getting elected. Yeah,

459
00:23:10,320 --> 00:23:15,200
Speaker 1: he's getting elected. Does not believe the Mitch McConnell photo.

460
00:23:16,040 --> 00:23:19,800
Speaker 1: He said he just heard from a source that it

461
00:23:19,840 --> 00:23:22,480
Speaker 1: was an older photo. I tend to not want to

462
00:23:22,520 --> 00:23:25,080
Speaker 1: take my news from Ron and On. But he's a

463
00:23:25,119 --> 00:23:29,240
Speaker 1: Republican senator saying another Republican senator is fake.

464
00:23:29,320 --> 00:23:31,800
Speaker 5: It isn't that something? And who do we believe? Do

465
00:23:31,840 --> 00:23:34,399
Speaker 5: we believe Ron Johnson or do we believe Scott Jennings?

466
00:23:34,720 --> 00:23:36,440
Speaker 5: This is the world we inhabit now.

467
00:23:36,840 --> 00:23:38,840
Speaker 1: Oh, that's the worst thing you've ever said.

468
00:23:41,480 --> 00:23:42,520
Speaker 3: You're welcome America.

469
00:23:42,640 --> 00:23:42,880
Speaker 4: Yeah.

470
00:23:42,960 --> 00:23:46,480
Speaker 1: Do you believe Scott Jennings or do you believe Ron Johnson?

471
00:23:46,600 --> 00:23:48,480
Speaker 1: I believe Ron Johnson over Scott Jennings.

472
00:23:48,520 --> 00:23:51,680
Speaker 3: I'm sorry, I think I believe Ron Johnson at Verscott Jennings.

473
00:23:52,200 --> 00:23:55,360
Speaker 3: That's pretty scary. Why I mean, I don't know. I'm

474
00:23:55,359 --> 00:23:57,320
Speaker 3: sorry America that those are our choices.

475
00:23:57,359 --> 00:24:01,200
Speaker 1: But when you see that photo of him, it looks

476
00:24:01,359 --> 00:24:04,359
Speaker 1: like he's gotten a lot of filler and botox.

477
00:24:04,800 --> 00:24:07,000
Speaker 3: Yeah, it does look like that. That's true.

478
00:24:07,440 --> 00:24:09,720
Speaker 1: So either he's very rested.

479
00:24:10,080 --> 00:24:12,880
Speaker 3: The people who provide those services are quite busy in Washington.

480
00:24:12,920 --> 00:24:13,960
Speaker 3: I don't know if you know this, but.

481
00:24:15,520 --> 00:24:19,879
Speaker 1: He does seem like quite again, we do not we

482
00:24:19,920 --> 00:24:24,520
Speaker 1: are not here to have conspiracy theories. But you have

483
00:24:24,840 --> 00:24:30,760
Speaker 1: a United States senator. He is brought off in an ambulance,

484
00:24:31,480 --> 00:24:36,840
Speaker 1: he disappears, he is eighty four years old, and weeks

485
00:24:36,960 --> 00:24:41,680
Speaker 1: later he sends a statement and a picture.

486
00:24:42,560 --> 00:24:44,199
Speaker 5: Yeah, and they and he tried to hold up a

487
00:24:44,240 --> 00:24:46,840
Speaker 5: newspaper or something so you could see that it was

488
00:24:46,880 --> 00:24:49,000
Speaker 5: a sort of a modern day newspaper.

489
00:24:49,440 --> 00:24:53,600
Speaker 3: I don't know, like his bigfoot alive. You know, where's

490
00:24:54,080 --> 00:24:54,919
Speaker 3: Marilyn Monroe?

491
00:24:55,600 --> 00:24:59,680
Speaker 5: Yeah, these things are I tend to believe. I tend

492
00:24:59,720 --> 00:25:03,439
Speaker 5: to think that they're not lying about Mitch McConnell. And

493
00:25:03,480 --> 00:25:06,439
Speaker 5: of course, now that I've said that, I've totally screwed myself,

494
00:25:06,480 --> 00:25:08,600
Speaker 5: and it probably is true that they are lying, But

495
00:25:08,680 --> 00:25:11,960
Speaker 5: I just I am not to the point there yet

496
00:25:11,960 --> 00:25:15,040
Speaker 5: where I'm thinking that a United States senator's.

497
00:25:14,600 --> 00:25:16,680
Speaker 3: Office would be a part of some charade like that.

498
00:25:16,760 --> 00:25:19,520
Speaker 3: But I don't know in this day and age.

499
00:25:19,560 --> 00:25:23,199
Speaker 1: You know, did the question I think is more like

500
00:25:23,400 --> 00:25:27,159
Speaker 1: I don't think he's dead. The question is is my

501
00:25:27,359 --> 00:25:32,280
Speaker 1: man like, does he look like that normally or did

502
00:25:32,280 --> 00:25:35,320
Speaker 1: they just like prop them up, take all the tubes

503
00:25:35,359 --> 00:25:37,480
Speaker 1: out to make him look because like.

504
00:25:37,480 --> 00:25:39,600
Speaker 3: Clearly not the makeup artist in there.

505
00:25:41,320 --> 00:25:44,040
Speaker 1: Yeah, that I think is more of the question than like,

506
00:25:44,200 --> 00:25:47,119
Speaker 1: obviously I don't think he's dead. I don't think. I

507
00:25:47,160 --> 00:25:50,199
Speaker 1: mean that's the thing which Democrats who listen to this

508
00:25:50,240 --> 00:25:54,199
Speaker 1: podcast because most of the people listen this podcasts are Democrats. Ah,

509
00:25:54,480 --> 00:25:58,439
Speaker 1: though we get the occasional like Daily Caller, well we

510
00:25:58,520 --> 00:26:00,720
Speaker 1: get like the people call want oh.

511
00:26:00,600 --> 00:26:02,800
Speaker 5: Yeah yeah yeah, Fox does that with my thing. They

512
00:26:02,840 --> 00:26:05,399
Speaker 5: do it because they want to get their a little catnet.

513
00:26:06,119 --> 00:26:10,240
Speaker 1: Yeah I can't believe listen to what Jim Acosta said now,

514
00:26:11,960 --> 00:26:14,520
Speaker 1: but I do it for them, Yeah, exact, we all

515
00:26:14,560 --> 00:26:18,439
Speaker 1: do it for them. But but I tend to believe that.

516
00:26:18,680 --> 00:26:22,160
Speaker 1: And I think it's important that these people are still

517
00:26:22,160 --> 00:26:25,040
Speaker 1: pretty incompetent, Like they're.

518
00:26:24,119 --> 00:26:27,679
Speaker 3: Not very incompetent. Yeah, they're very competent. But listen.

519
00:26:28,119 --> 00:26:31,760
Speaker 5: One of the other truisms here is that you know

520
00:26:32,680 --> 00:26:36,600
Speaker 5: Senate offices and their staffs, and over in the House

521
00:26:36,640 --> 00:26:39,120
Speaker 5: there's a little bit of this too. There is a

522
00:26:39,240 --> 00:26:42,160
Speaker 5: preservation you know, there is a preservationist streak that runs

523
00:26:42,160 --> 00:26:43,359
Speaker 5: through a lot of these staffers.

524
00:26:43,720 --> 00:26:44,400
Speaker 3: As soon as.

525
00:26:44,320 --> 00:26:49,159
Speaker 5: Mitch Diane Feinstein was a classic example, I think, you know,

526
00:26:50,240 --> 00:26:52,960
Speaker 5: I mean, Chuck Grassley is ninety two.

527
00:26:53,040 --> 00:26:53,800
Speaker 3: I look that up.

528
00:26:53,880 --> 00:26:57,560
Speaker 5: The guys ninety two years old, and he's But I

529
00:26:57,600 --> 00:26:59,240
Speaker 5: think that they, you know, they will go to great

530
00:26:59,320 --> 00:27:02,440
Speaker 5: lengths to keep he kept these members knowing because as

531
00:27:02,440 --> 00:27:05,199
Speaker 5: soon as that members of Congress is gone, they all

532
00:27:05,240 --> 00:27:08,000
Speaker 5: lose their jobs unless one of them can run for

533
00:27:08,040 --> 00:27:11,840
Speaker 5: the Congressionals seat, which sometimes happens. That is also a

534
00:27:11,840 --> 00:27:13,920
Speaker 5: force in all of this that cannot be denied.

535
00:27:14,520 --> 00:27:17,040
Speaker 1: Yeah, I agree, and I think that's a good point.

536
00:27:17,640 --> 00:27:20,840
Speaker 1: Jim Acosta, Yes, will you come back.

537
00:27:21,119 --> 00:27:22,880
Speaker 3: I'll come back anytime. Great to see.

538
00:27:22,880 --> 00:27:25,960
Speaker 5: I'll be reporting from the reflecting Pool anytime for you.

539
00:27:26,080 --> 00:27:29,960
Speaker 1: Momly the gash lists Reflecting Pool.

540
00:27:29,840 --> 00:27:33,600
Speaker 3: The gash list this just in This is not CENN

541
00:27:33,680 --> 00:27:34,439
Speaker 3: breaking news, No.

542
00:27:34,520 --> 00:27:38,760
Speaker 6: Gash Amanda Litman is the co founder of Run for

543
00:27:38,840 --> 00:27:41,120
Speaker 6: Something In the author of the new book When We're

544
00:27:41,160 --> 00:27:45,240
Speaker 6: in Charge, The Next Generation's Guide to Leadership.

545
00:27:45,400 --> 00:27:47,760
Speaker 1: Welcome, Welcome, Amandaliman.

546
00:27:47,280 --> 00:27:49,160
Speaker 7: Him Lollie, so excite to be here.

547
00:27:49,480 --> 00:27:51,320
Speaker 1: Well, I'm excited to have you. And you know, we

548
00:27:51,320 --> 00:27:53,679
Speaker 1: were on vacation for two weeks and during that time

549
00:27:53,800 --> 00:27:56,080
Speaker 1: I kept being like, Amanda Litman is saying a lot

550
00:27:56,119 --> 00:27:58,280
Speaker 1: of really smart stuff, and I want to talk to

551
00:27:58,320 --> 00:28:01,760
Speaker 1: her about So then magically we come back and here

552
00:28:01,800 --> 00:28:04,560
Speaker 1: you are, Frost. I would love you to talk about,

553
00:28:04,600 --> 00:28:08,760
Speaker 1: like you said this thing over the break, about how

554
00:28:09,320 --> 00:28:12,399
Speaker 1: can't break a system that you don't understand how it runs.

555
00:28:12,760 --> 00:28:15,240
Speaker 1: So I'd let me to explain to us what that

556
00:28:15,359 --> 00:28:18,080
Speaker 1: means when it comes to the political landscape.

557
00:28:18,400 --> 00:28:20,520
Speaker 7: Yeah, and I think I was saying this specifically around

558
00:28:20,560 --> 00:28:23,439
Speaker 7: some of the candidate recruitment pieces, but more broadly, like,

559
00:28:23,680 --> 00:28:27,040
Speaker 7: if it was easy to fix the broken system, it

560
00:28:27,040 --> 00:28:29,280
Speaker 7: wouldn't be broken in the first place. You really have

561
00:28:29,320 --> 00:28:34,760
Speaker 7: to understand the different levers that control, like who runs,

562
00:28:34,880 --> 00:28:38,240
Speaker 7: how they succeed, the different players that are a part

563
00:28:38,240 --> 00:28:40,680
Speaker 7: of this, in order to then know how to actually

564
00:28:40,720 --> 00:28:43,480
Speaker 7: fix it. Like you can't break a rule or cheat

565
00:28:43,520 --> 00:28:45,680
Speaker 7: in a system if you don't understand what the boundaries

566
00:28:45,720 --> 00:28:47,800
Speaker 7: and the containers are in the first place. So when

567
00:28:47,840 --> 00:28:50,240
Speaker 7: I think about like candidate recruitment, or like how do

568
00:28:50,280 --> 00:28:51,760
Speaker 7: you get someone to run for office? Like you need

569
00:28:51,840 --> 00:28:55,080
Speaker 7: to understand, Okay, what are the processes in which you

570
00:28:55,200 --> 00:28:58,320
Speaker 7: help shape who runs, and which of those can you shortcut?

571
00:28:58,320 --> 00:29:00,200
Speaker 7: And which of those do you need? Like which of

572
00:29:00,240 --> 00:29:01,960
Speaker 7: those are fucked and which of those are not? Which

573
00:29:02,000 --> 00:29:04,040
Speaker 7: of those are there for a really good reason. You

574
00:29:04,160 --> 00:29:06,000
Speaker 7: want to only make new mistakes. You don't want to

575
00:29:06,040 --> 00:29:09,280
Speaker 7: repeat the old ones. Vetting, as an example, is part

576
00:29:09,280 --> 00:29:11,040
Speaker 7: of the process for a reason.

577
00:29:11,720 --> 00:29:14,360
Speaker 1: So part of how we got here is this conversation

578
00:29:14,440 --> 00:29:17,640
Speaker 1: about Graham Platner and what went wrong, and a lot

579
00:29:17,680 --> 00:29:20,360
Speaker 1: of the discourse. And again we're really not here to

580
00:29:20,360 --> 00:29:22,560
Speaker 1: talk about that. We're really here to talk about the midterms.

581
00:29:22,600 --> 00:29:26,360
Speaker 1: But I want to make this particular point makes sense.

582
00:29:26,480 --> 00:29:30,880
Speaker 1: Part of why it is relevant is that when going

583
00:29:30,960 --> 00:29:34,720
Speaker 1: back at this sort of at the exhaustive autopsy of

584
00:29:34,760 --> 00:29:38,800
Speaker 1: what went wrong, we find a out of state consultant,

585
00:29:39,080 --> 00:29:44,480
Speaker 1: young guy from a fancy family, which again relevant not relevant.

586
00:29:44,560 --> 00:29:48,520
Speaker 1: As someone who has NEPO baby roots, I often think

587
00:29:48,520 --> 00:29:52,160
Speaker 1: it's something worth mentioning comes in what we saw in

588
00:29:52,160 --> 00:29:55,920
Speaker 1: this Wall Street Journal interview really skips on the vetting.

589
00:29:56,200 --> 00:29:58,880
Speaker 1: And I saw that you guys Run for Something talked

590
00:29:58,880 --> 00:30:02,000
Speaker 1: about how rare that you've had to withdraw an endorsement,

591
00:30:02,200 --> 00:30:04,440
Speaker 1: and I would love you to talk through sort of

592
00:30:04,520 --> 00:30:05,360
Speaker 1: the math on that.

593
00:30:05,800 --> 00:30:05,960
Speaker 3: You know.

594
00:30:06,000 --> 00:30:08,360
Speaker 7: So Run for Something has endorsed more than four thousand

595
00:30:08,360 --> 00:30:11,600
Speaker 7: campaigns over the last nine and a half years. We've

596
00:30:11,640 --> 00:30:15,280
Speaker 7: had to rescind fewer than a dozen, maybe fewer than

597
00:30:15,320 --> 00:30:18,520
Speaker 7: ten endorsements in that time period. It was pretty good

598
00:30:18,520 --> 00:30:20,920
Speaker 7: batting average. And when I looked back at some of those,

599
00:30:20,960 --> 00:30:22,800
Speaker 7: like they were for things where we could there was

600
00:30:22,880 --> 00:30:24,719
Speaker 7: no way that could have found it. It was like for

601
00:30:24,760 --> 00:30:28,240
Speaker 7: incidences that happened after the campaign at launch drappers someone

602
00:30:28,280 --> 00:30:30,960
Speaker 7: to run that kind of thing. I think that when

603
00:30:31,000 --> 00:30:34,880
Speaker 7: you are talking about cancer recruitment in particular, it is

604
00:30:35,080 --> 00:30:38,280
Speaker 7: not enough to play mad libs, which seems to be

605
00:30:38,280 --> 00:30:42,040
Speaker 7: a lot more afted. He said, we need a burly

606
00:30:42,720 --> 00:30:46,080
Speaker 7: white guy with a particular occupation who's given to Bernie Sanders,

607
00:30:46,080 --> 00:30:48,520
Speaker 7: who has these kinds of politics and essentially think like

608
00:30:48,520 --> 00:30:50,680
Speaker 7: when a bunch of Facebook groups and like sort of

609
00:30:51,040 --> 00:30:54,400
Speaker 7: troll the internet and decided first they wanted a lobsterman.

610
00:30:54,400 --> 00:30:56,600
Speaker 7: They couldn't find a optsman, okay, an oyster farmer. And

611
00:30:56,640 --> 00:31:00,320
Speaker 7: then they found Graham convinced him to run. First he

612
00:31:00,320 --> 00:31:02,080
Speaker 7: seems to have said no, and they were like, no, no,

613
00:31:02,120 --> 00:31:04,320
Speaker 7: you're it. We will help you. They sped through the

614
00:31:04,360 --> 00:31:06,280
Speaker 7: vetting process and I got him on the ballot. Now,

615
00:31:06,840 --> 00:31:09,800
Speaker 7: it is noteworthy that one he was like he is

616
00:31:09,800 --> 00:31:12,320
Speaker 7: a very good communicator, Like that's a skill set that

617
00:31:12,360 --> 00:31:14,600
Speaker 7: he has. And two he spoke to something that main

618
00:31:14,760 --> 00:31:17,880
Speaker 7: voters were feeling like he had won that primary. He

619
00:31:18,000 --> 00:31:20,960
Speaker 7: was compelling something like one percent of the main population

620
00:31:21,080 --> 00:31:24,120
Speaker 7: was volunteering for his campaign. That's real, and we shouldn't

621
00:31:24,160 --> 00:31:27,520
Speaker 7: dismiss that. And there is a reason you do not

622
00:31:27,560 --> 00:31:30,320
Speaker 7: play mad libs with kinds of recruitment because we I

623
00:31:30,360 --> 00:31:32,560
Speaker 7: mean that as a professional political operative. But really, any

624
00:31:32,640 --> 00:31:34,920
Speaker 7: of us have no idea what voters want. We don't

625
00:31:35,000 --> 00:31:37,280
Speaker 7: know what they want. We cannot pretend. We cannot do

626
00:31:37,360 --> 00:31:39,520
Speaker 7: central casting, we cannot play king maker, and to play

627
00:31:39,600 --> 00:31:42,200
Speaker 7: king maker from like the position that Marath was playing

628
00:31:42,440 --> 00:31:45,720
Speaker 7: is as bad as playing king maker from the establishment side.

629
00:31:45,760 --> 00:31:47,520
Speaker 7: We don't know, we can't pretend to we should have

630
00:31:47,920 --> 00:31:50,080
Speaker 7: no ego here. We don't know about shit, and if

631
00:31:50,080 --> 00:31:52,840
Speaker 7: we're not remembering that at every point, we're going to fail.

632
00:31:53,560 --> 00:31:55,560
Speaker 1: So from what I understand, there are a lot of

633
00:31:55,560 --> 00:31:59,400
Speaker 1: really good candidates that main actually like the head of

634
00:31:59,440 --> 00:32:03,080
Speaker 1: the state Senate, the secretary of State. It's not as

635
00:32:03,160 --> 00:32:06,560
Speaker 1: if it was a state where there were no candidates.

636
00:32:06,600 --> 00:32:10,080
Speaker 1: They're not establishment, they're actually populists. But there are a

637
00:32:10,120 --> 00:32:13,800
Speaker 1: lot of good candidates in May. And again, what happened

638
00:32:13,840 --> 00:32:16,160
Speaker 1: with the Senate race, which I think I have not

639
00:32:16,600 --> 00:32:20,320
Speaker 1: heard reported and I don't quite understand why, is that

640
00:32:20,440 --> 00:32:23,440
Speaker 1: a lot of these really good candidates got in the

641
00:32:23,520 --> 00:32:26,760
Speaker 1: gougernatorial and they got in the gougernatorial because they thought

642
00:32:26,840 --> 00:32:29,240
Speaker 1: Susan Collins was going to be really hard to beat.

643
00:32:29,440 --> 00:32:31,920
Speaker 1: And so I think I don't understand why I haven't

644
00:32:31,920 --> 00:32:34,960
Speaker 1: seen that reported. I mean, I certainly have heard it

645
00:32:35,000 --> 00:32:39,000
Speaker 1: from people on the ground. And so those losers are

646
00:32:39,080 --> 00:32:43,480
Speaker 1: actually may actually be better candidates than the people who

647
00:32:43,560 --> 00:32:46,800
Speaker 1: jumped in to go against Susan Collins. For example, the

648
00:32:46,840 --> 00:32:49,719
Speaker 1: reason that Chuck Schumer had to go for Janet Males,

649
00:32:50,040 --> 00:32:53,200
Speaker 1: who is seventy eight years old. Jesse and I had

650
00:32:53,200 --> 00:32:55,520
Speaker 1: a real disagreement about this because I actually really liked

651
00:32:55,560 --> 00:32:59,640
Speaker 1: her and thought she was very fiery and delightful and

652
00:32:59,680 --> 00:33:03,000
Speaker 1: a lot of ways. But she is would be eighty four,

653
00:33:03,360 --> 00:33:05,960
Speaker 1: an eighty four year old freshman senator, which in a

654
00:33:06,040 --> 00:33:09,200
Speaker 1: world where we're trying to not you know, increase the

655
00:33:09,280 --> 00:33:12,560
Speaker 1: gerontocracy is a real issue. But that the reason why

656
00:33:12,720 --> 00:33:15,040
Speaker 1: these people did not get into it, and so there

657
00:33:15,200 --> 00:33:18,640
Speaker 1: was a void and that was how they were able

658
00:33:18,680 --> 00:33:20,920
Speaker 1: to get Platiner in early. Do you think that's right,

659
00:33:21,040 --> 00:33:23,360
Speaker 1: and if so, talk to us about that. And Jesse

660
00:33:23,720 --> 00:33:27,600
Speaker 1: just texted me that she was the second most unpopular governor.

661
00:33:27,800 --> 00:33:27,960
Speaker 3: You know.

662
00:33:28,000 --> 00:33:30,120
Speaker 7: I think there's been some really interesting reporting about how

663
00:33:30,200 --> 00:33:33,880
Speaker 7: the DCC and affiliated sort of partners cleared the field

664
00:33:34,000 --> 00:33:37,480
Speaker 7: for Janet Mills, like they specifically, you know, God, there

665
00:33:37,520 --> 00:33:40,920
Speaker 7: was a brewmaster who's now actually I think president, who

666
00:33:40,960 --> 00:33:43,280
Speaker 7: like jumped in then jumped out. Jordan Wood jumped in,

667
00:33:43,400 --> 00:33:46,600
Speaker 7: jumped out and got pushed I think some of these

668
00:33:47,320 --> 00:33:49,320
Speaker 7: My guess is that many of the like but Troy

669
00:33:49,400 --> 00:33:52,040
Speaker 7: Jackson or Shnnabellos or the others, knew that that was

670
00:33:52,080 --> 00:33:53,720
Speaker 7: the case that if they had gotten and they would

671
00:33:53,720 --> 00:33:55,480
Speaker 7: have gotten pushed out or had been faced a lot

672
00:33:55,480 --> 00:33:58,400
Speaker 7: of resistance and maybe they want to be governor, which

673
00:33:58,440 --> 00:34:00,280
Speaker 7: I don't blame them. Being governor seemed so much better

674
00:34:00,320 --> 00:34:02,800
Speaker 7: than being a United States senator. Now, I do think

675
00:34:02,800 --> 00:34:05,920
Speaker 7: like there's other great young leaders there, like Run for

676
00:34:05,960 --> 00:34:07,800
Speaker 7: Something has a number of young folks who give them

677
00:34:07,800 --> 00:34:09,320
Speaker 7: a couple more years, are going to ride through the

678
00:34:09,400 --> 00:34:12,040
Speaker 7: ranks and be incredible statewide candidates. We're building a really

679
00:34:12,080 --> 00:34:14,960
Speaker 7: good bench there. It didn't have to be her, And

680
00:34:15,000 --> 00:34:16,600
Speaker 7: I think that is to me, like one of the

681
00:34:16,719 --> 00:34:18,759
Speaker 7: cardinal sins. The first person to blame in all of

682
00:34:18,800 --> 00:34:22,239
Speaker 7: his Grandpatner. Grandpatner did the wrong thing. He was, you know,

683
00:34:22,440 --> 00:34:25,480
Speaker 7: allegedly raped a woman, had many credible sexual assault like

684
00:34:25,560 --> 00:34:28,520
Speaker 7: history of problematic things, racism, all that stuff. Bad guy.

685
00:34:29,239 --> 00:34:31,000
Speaker 1: The second second villain in this.

686
00:34:31,000 --> 00:34:33,680
Speaker 7: Story the people who recruited him and skipped some steps

687
00:34:33,719 --> 00:34:35,920
Speaker 7: in terms of vetting and ignore the flags. But the

688
00:34:36,040 --> 00:34:38,800
Speaker 7: third villain here is the establishment that cleared the field

689
00:34:38,960 --> 00:34:41,560
Speaker 7: and did not make this a competitive fight. And when

690
00:34:41,600 --> 00:34:43,919
Speaker 7: they did put someone in there, they had to beg

691
00:34:44,000 --> 00:34:46,000
Speaker 7: and plead Janet Mills to run. If you have to

692
00:34:46,080 --> 00:34:48,160
Speaker 7: beg someone to run for office, they are not going

693
00:34:48,200 --> 00:34:50,400
Speaker 7: to be a good candidate because it's it is hard.

694
00:34:50,520 --> 00:34:52,200
Speaker 7: You have to do it because you want to do it.

695
00:34:52,480 --> 00:34:55,919
Speaker 7: So at every point, lots of people made mistakes here,

696
00:34:56,080 --> 00:34:59,160
Speaker 7: and we shouldn't pretend that just because Platner flamed out

697
00:34:59,200 --> 00:35:02,080
Speaker 7: in the most horror and the strain and gut wrenching way,

698
00:35:02,320 --> 00:35:05,239
Speaker 7: that the establishment did everything right, they didn't right.

699
00:35:05,520 --> 00:35:08,120
Speaker 1: No, No, I agree, And that's a really good point.

700
00:35:08,280 --> 00:35:10,680
Speaker 1: I feel like I have to say this just because

701
00:35:10,719 --> 00:35:15,920
Speaker 1: I'm sober. The whole redemption story focused on the idea

702
00:35:16,080 --> 00:35:21,560
Speaker 1: that he did bad stuff at some time in the past.

703
00:35:22,120 --> 00:35:25,000
Speaker 1: But you know, they're pictures of him holding a beer,

704
00:35:25,440 --> 00:35:29,440
Speaker 1: so obviously some of that bad stuff. You know, when

705
00:35:29,480 --> 00:35:31,839
Speaker 1: he gets drunk and goes to women's houses and then

706
00:35:31,920 --> 00:35:35,319
Speaker 1: doesn't remember it, that's called the blackout. And so you know,

707
00:35:35,440 --> 00:35:38,680
Speaker 1: as someone who's sober a long time, like, in my mind,

708
00:35:38,920 --> 00:35:41,680
Speaker 1: how we are having this conversation and not being like

709
00:35:41,840 --> 00:35:45,960
Speaker 1: this is an alcoholism problem is insane to me, Like

710
00:35:46,480 --> 00:35:50,000
Speaker 1: the man doesn't remember when he does stuff when he

711
00:35:50,080 --> 00:35:52,719
Speaker 1: comes over and is very drunk, Like there's a word

712
00:35:52,760 --> 00:35:54,880
Speaker 1: for that, it's a blackout. And the fact that that

713
00:35:55,080 --> 00:35:57,400
Speaker 1: is not the film in which we're looking at this

714
00:35:57,480 --> 00:35:59,359
Speaker 1: story is insane to me, I.

715
00:35:59,360 --> 00:36:02,959
Speaker 7: Totally agree, and I think more broadly, like people who

716
00:36:02,960 --> 00:36:05,880
Speaker 7: have struggled with addiction or alcoholism in their past and

717
00:36:05,920 --> 00:36:08,600
Speaker 7: who are now sober and clean and like you can run.

718
00:36:08,760 --> 00:36:10,719
Speaker 8: You can absolutely that can be a part of your past.

719
00:36:10,719 --> 00:36:13,440
Speaker 8: You could have made mistakes. You have to be honest

720
00:36:13,480 --> 00:36:16,400
Speaker 8: with people, like you tell me. But my understanding is

721
00:36:16,480 --> 00:36:19,200
Speaker 8: one of the foundations of sobriety is like owning the

722
00:36:19,239 --> 00:36:19,799
Speaker 8: things you have.

723
00:36:19,840 --> 00:36:23,120
Speaker 1: Done mm hmm for sure and making amends. Making amends

724
00:36:23,200 --> 00:36:25,200
Speaker 1: like you have to do that. And this is true

725
00:36:25,280 --> 00:36:26,920
Speaker 1: in life as it is in politics.

726
00:36:26,920 --> 00:36:28,680
Speaker 7: You have to be honest with voters about who you

727
00:36:28,680 --> 00:36:30,880
Speaker 7: are and what you believe and how you've learned from

728
00:36:30,920 --> 00:36:33,080
Speaker 7: the things you fucked up on. If you can't do that,

729
00:36:33,160 --> 00:36:34,799
Speaker 7: I think that is part of one of the many,

730
00:36:34,840 --> 00:36:38,319
Speaker 7: many things that he did wrong here was he lied. Authenticity,

731
00:36:38,360 --> 00:36:41,600
Speaker 7: which it was definitely a prized trait of his campaign,

732
00:36:41,960 --> 00:36:44,759
Speaker 7: is important both for entertainment value, but also because it

733
00:36:44,800 --> 00:36:46,759
Speaker 7: is a fundamental building block to trust, and.

734
00:36:46,680 --> 00:36:49,920
Speaker 1: He lost that trust. So let's talk about what the

735
00:36:49,960 --> 00:36:53,480
Speaker 1: map looks like for you guys. The states that I

736
00:36:53,520 --> 00:36:57,000
Speaker 1: personally have been really excited about talk us through the

737
00:36:57,040 --> 00:37:00,160
Speaker 1: states you're excited about, Like, I'm excited about Iowa, but

738
00:37:00,360 --> 00:37:03,359
Speaker 1: Robson the rest of the world has discovered him now,

739
00:37:03,440 --> 00:37:05,640
Speaker 1: So talk us through what else you're excited about.

740
00:37:05,680 --> 00:37:08,799
Speaker 7: CANDIDATEI was so, I am really excited about Wisconsin. I

741
00:37:08,800 --> 00:37:11,759
Speaker 7: think that there's some really interesting state and local candidates there.

742
00:37:11,760 --> 00:37:14,200
Speaker 7: I think Francesca hang if she wins this primary. I

743
00:37:14,280 --> 00:37:16,160
Speaker 7: think it is interesting to me that people are so

744
00:37:16,200 --> 00:37:19,359
Speaker 7: immediately writing her off as like a DSA candidate can't

745
00:37:19,360 --> 00:37:20,160
Speaker 7: win in Wisconsin.

746
00:37:20,560 --> 00:37:23,879
Speaker 1: Talk us through when the Wisconsin primary is and sort

747
00:37:23,880 --> 00:37:25,040
Speaker 1: of what's happening there.

748
00:37:25,239 --> 00:37:29,640
Speaker 7: I believe it is August. Francesca Hahung is a state

749
00:37:29,640 --> 00:37:33,120
Speaker 7: assembly woman who has is a DSA candidate. It's proudly so.

750
00:37:33,640 --> 00:37:36,640
Speaker 7: She's a single mom, she's a restaurant owner. She got

751
00:37:36,760 --> 00:37:39,680
Speaker 7: into politics after COVID when she was doing organizing around

752
00:37:39,760 --> 00:37:43,000
Speaker 7: restaurant workers during twenty twenty during the shutdowns. She is

753
00:37:43,719 --> 00:37:46,160
Speaker 7: so clear eyed about what she wants to accomplish. She

754
00:37:46,320 --> 00:37:48,799
Speaker 7: is building a very strong grassroots campaign, and I think

755
00:37:48,840 --> 00:37:52,000
Speaker 7: most relevantly for this particular cycle, she has been one

756
00:37:52,040 --> 00:37:54,319
Speaker 7: of the first, I think still the only person in

757
00:37:54,320 --> 00:37:57,400
Speaker 7: that primary to speak out against data centers and against

758
00:37:57,440 --> 00:38:01,319
Speaker 7: AI and to be very precise about her positioning in

759
00:38:01,360 --> 00:38:03,400
Speaker 7: a way that you know, we've seen this. The New

760
00:38:03,480 --> 00:38:04,880
Speaker 7: York Times did a great story on her where they

761
00:38:04,880 --> 00:38:07,600
Speaker 7: went and they started talking to Republicans across Wisconsin and

762
00:38:07,760 --> 00:38:10,239
Speaker 7: basically every person they talked to was like, Yeah, I

763
00:38:10,880 --> 00:38:13,440
Speaker 7: like her, I vote for her. She seems to believe something.

764
00:38:13,880 --> 00:38:14,200
Speaker 1: Wow.

765
00:38:14,440 --> 00:38:18,040
Speaker 7: I think that's really compelling, and I'm excited to see

766
00:38:18,080 --> 00:38:21,120
Speaker 7: more people like her run and at the very least

767
00:38:21,120 --> 00:38:24,160
Speaker 7: put up a strong fight. We've also got amazing candidates

768
00:38:24,160 --> 00:38:28,239
Speaker 7: in Pennsylvania and Florida and Texas. You know James tell

769
00:38:28,320 --> 00:38:30,440
Speaker 7: Rico of course, who's a run another run for something alum,

770
00:38:30,760 --> 00:38:33,399
Speaker 7: Jermaine Johnson, who's been alum running for governor in South

771
00:38:33,400 --> 00:38:35,040
Speaker 7: Carolina as the Democrat there.

772
00:38:35,400 --> 00:38:39,320
Speaker 1: Just amazing people talk to me about South Carolina governor

773
00:38:39,400 --> 00:38:44,239
Speaker 1: because now South Carolina very red state, not North Carolina.

774
00:38:44,360 --> 00:38:48,560
Speaker 1: But Lindsey Graham has died, there will be a new

775
00:38:48,600 --> 00:38:51,799
Speaker 1: candidate in there. We do not know if you had

776
00:38:51,840 --> 00:38:55,719
Speaker 1: someone really good for the governorship like in Iowa, that

777
00:38:55,840 --> 00:38:58,840
Speaker 1: person could theoretically at least pull them over the line.

778
00:38:58,920 --> 00:39:01,520
Speaker 7: Right. Yeah, I'll be curious to see what happens, because

779
00:39:01,520 --> 00:39:04,439
Speaker 7: they're going to have a new primary on the Republican side,

780
00:39:04,440 --> 00:39:06,080
Speaker 7: There's gonna be a messy fight. And the same way

781
00:39:06,120 --> 00:39:09,520
Speaker 7: that the Republican primary this time around was very messy

782
00:39:09,520 --> 00:39:12,240
Speaker 7: for the governor's race, and that you know, Trump indoors

783
00:39:12,360 --> 00:39:14,200
Speaker 7: Nancy Mace got in. There's like a lot of the

784
00:39:14,239 --> 00:39:16,640
Speaker 7: lieutenant governor got in. It was complicated, there was all

785
00:39:16,680 --> 00:39:19,320
Speaker 7: Republican civil war. I expect we will see that again,

786
00:39:19,640 --> 00:39:22,040
Speaker 7: you know, on the governor's fight. If we can win,

787
00:39:22,120 --> 00:39:23,239
Speaker 7: can Jermaine Johnson win?

788
00:39:23,480 --> 00:39:23,880
Speaker 1: I don't know.

789
00:39:24,160 --> 00:39:26,520
Speaker 7: I think he's a really compelling candidate. He's a pastor,

790
00:39:26,960 --> 00:39:29,000
Speaker 7: he's been a state rep for a while. He is

791
00:39:29,440 --> 00:39:33,000
Speaker 7: deeply compelling, and if anybody can win in a state

792
00:39:33,040 --> 00:39:35,279
Speaker 7: like South Carolina, he can. And at the very least,

793
00:39:35,320 --> 00:39:36,919
Speaker 7: I'm really glad we have someone in there who's given

794
00:39:36,960 --> 00:39:38,759
Speaker 7: him hell and making them at least fight for it.

795
00:39:38,880 --> 00:39:41,120
Speaker 1: I would love you to just talk about why state

796
00:39:41,200 --> 00:39:45,360
Speaker 1: candidates are so important, like in Wisconsin. I mean, I

797
00:39:45,400 --> 00:39:48,440
Speaker 1: don't know who's on what's up in Wisconsin.

798
00:39:48,640 --> 00:39:50,879
Speaker 7: Or we've got the governor's race and there's a bunch

799
00:39:50,920 --> 00:39:54,160
Speaker 7: of state assemblies, state legislative races as well as municipal

800
00:39:54,200 --> 00:39:55,960
Speaker 7: ones of course in school boards, you know, and each

801
00:39:56,000 --> 00:39:59,040
Speaker 7: of these races. Making the Republicans spend money is good.

802
00:39:59,719 --> 00:40:03,200
Speaker 7: Give voters a choice is good. Pushing conversation on the

803
00:40:03,280 --> 00:40:06,560
Speaker 7: issues is good, especially in a place like South Carolina.

804
00:40:06,680 --> 00:40:08,680
Speaker 7: You're not going to go from deep deep red to

805
00:40:08,800 --> 00:40:11,920
Speaker 7: competitive overnight. If you can go from a seventy thirty

806
00:40:12,000 --> 00:40:14,160
Speaker 7: to sixty five to forty five to sixty forty eight

807
00:40:14,200 --> 00:40:15,719
Speaker 7: to fifty five to forty five, all of a sudden,

808
00:40:15,719 --> 00:40:17,680
Speaker 7: you've got a fifty one forty nine race, all of

809
00:40:17,760 --> 00:40:21,480
Speaker 7: a sudden, having taken ten years, there is no downside

810
00:40:21,640 --> 00:40:23,880
Speaker 7: to running and trying, and even if the goal is

811
00:40:23,920 --> 00:40:25,919
Speaker 7: to close the margin a little bit more each year.

812
00:40:26,320 --> 00:40:30,520
Speaker 1: Talk to me about Texas and tall Rico. Texas a big,

813
00:40:30,640 --> 00:40:34,520
Speaker 1: expensive state that we've all had our hearts broken vibe before.

814
00:40:34,719 --> 00:40:36,880
Speaker 1: But what you're thinking on Texas.

815
00:40:36,719 --> 00:40:39,360
Speaker 7: I think if anyone can win Texas, this shire as James.

816
00:40:39,560 --> 00:40:43,960
Speaker 7: He is so smart, such like a genuinely good guy,

817
00:40:44,440 --> 00:40:47,040
Speaker 7: very values driven, but also knows how to communicate those

818
00:40:47,080 --> 00:40:49,040
Speaker 7: values in a way that his neighbors can hear. He's

819
00:40:49,080 --> 00:40:52,720
Speaker 7: also supported by underneath him a full slate of competitive

820
00:40:52,760 --> 00:40:56,320
Speaker 7: state house races and state legislative races. The Democrat Texas Democrats,

821
00:40:56,320 --> 00:40:58,520
Speaker 7: along with Run for Something and our partners on the ground,

822
00:40:58,760 --> 00:41:02,360
Speaker 7: recruited candidates for every state ledge race. That's huge. That

823
00:41:02,440 --> 00:41:06,040
Speaker 7: means that there are people organizing locally everywhere. I think

824
00:41:06,200 --> 00:41:08,560
Speaker 7: Beto and team have been doing incredible organizing work for

825
00:41:08,560 --> 00:41:12,160
Speaker 7: the last at this point eight years, registering voters and

826
00:41:12,280 --> 00:41:14,960
Speaker 7: really talking to folks. You know, single party rule in

827
00:41:15,000 --> 00:41:17,960
Speaker 7: Texas has not been working for them. They're basically a

828
00:41:18,000 --> 00:41:19,759
Speaker 7: failed state when it comes to the power grid and

829
00:41:19,840 --> 00:41:22,920
Speaker 7: these heat waves, it is not good. Now. Greg Gabbott

830
00:41:22,960 --> 00:41:25,000
Speaker 7: is sitting on a fuck ton of money. He's got

831
00:41:25,000 --> 00:41:27,080
Speaker 7: something like one hundred million dollars in a super pack.

832
00:41:27,320 --> 00:41:30,680
Speaker 7: Gina Najosa is an incredible gubernatorial candidate there. She's also

833
00:41:30,800 --> 00:41:32,960
Speaker 7: very compelling. It's going to be a lot of money

834
00:41:32,960 --> 00:41:36,239
Speaker 7: spent against them. But we have to keep fighting for

835
00:41:36,280 --> 00:41:38,319
Speaker 7: this state, even if it always feels like a pipe dream,

836
00:41:38,360 --> 00:41:41,759
Speaker 7: because if we don't, when the electoral college map gets

837
00:41:41,800 --> 00:41:44,920
Speaker 7: redrawn after the twenty thirty census, if Texas is not

838
00:41:44,960 --> 00:41:47,359
Speaker 7: at the very least competitive for us. It's a map

839
00:41:47,400 --> 00:41:48,399
Speaker 7: that Democrats can't win.

840
00:41:48,840 --> 00:41:52,000
Speaker 1: Yeah, yeah, yeah. Is there anywhere else that's on your

841
00:41:52,080 --> 00:41:53,400
Speaker 1: radar that should be on ours.

842
00:41:53,719 --> 00:41:56,200
Speaker 7: I'm always linking out Florida, even though it's, you know,

843
00:41:56,360 --> 00:41:58,920
Speaker 7: feels crazy. I think David Jolly is a really interesting

844
00:41:58,920 --> 00:42:03,799
Speaker 7: Senate candidate there, governor's candidate, thank you, Republican turned Democrat

845
00:42:03,960 --> 00:42:06,400
Speaker 7: who can speak to Florida voters in the way that

846
00:42:06,400 --> 00:42:07,040
Speaker 7: they need to hear.

847
00:42:07,360 --> 00:42:10,360
Speaker 1: Vin Man is not a good candidate. I am not

848
00:42:10,480 --> 00:42:11,960
Speaker 1: as sold about him.

849
00:42:11,800 --> 00:42:15,480
Speaker 7: But you never know. More broadly, I think like there's

850
00:42:15,480 --> 00:42:17,920
Speaker 7: some really interesting state ledge candidates there. There's some school

851
00:42:17,960 --> 00:42:20,160
Speaker 7: board folks there who are really pushing forward, and so

852
00:42:20,200 --> 00:42:23,920
Speaker 7: I'm excited to see what happens. I think Georgia, obviously,

853
00:42:24,080 --> 00:42:28,160
Speaker 7: as Off and Warnock are incredible. Asof in particular is

854
00:42:28,200 --> 00:42:30,840
Speaker 7: great and I think can really help Keisha Lance Bottoms

855
00:42:30,880 --> 00:42:34,440
Speaker 7: and others across the state. Ohio, of course, Shared Brown,

856
00:42:34,680 --> 00:42:37,800
Speaker 7: great candidate, Roy Cooper and North Carolina a great candidate.

857
00:42:37,960 --> 00:42:39,719
Speaker 7: And I know people like to defend like those were

858
00:42:39,719 --> 00:42:42,400
Speaker 7: great recruits on behalf of Schumer on how much to

859
00:42:42,400 --> 00:42:45,240
Speaker 7: Schumer actually have to convince them to run? But two great,

860
00:42:45,320 --> 00:42:47,839
Speaker 7: We've got them. It's a damning indictment that there are

861
00:42:47,880 --> 00:42:49,360
Speaker 7: only options, right.

862
00:42:49,520 --> 00:42:52,400
Speaker 1: Right, right, I know. I do think Ohio and North

863
00:42:52,400 --> 00:42:56,560
Speaker 1: Carolina are very different states than do you know what

864
00:42:56,640 --> 00:42:59,920
Speaker 1: I mean, Like even though Susan Collins is Kaiser, so

865
00:43:00,800 --> 00:43:04,520
Speaker 1: there is a sense in which Ohio is very red

866
00:43:04,960 --> 00:43:08,880
Speaker 1: and like shared has been a kind of you know,

867
00:43:08,960 --> 00:43:13,080
Speaker 1: a unicorn over there, and North Carolina is shifting, but

868
00:43:13,160 --> 00:43:15,040
Speaker 1: it's very slow totally.

869
00:43:15,160 --> 00:43:17,160
Speaker 7: And I think in both of those states, like we

870
00:43:17,239 --> 00:43:20,399
Speaker 7: are building really strong benches there. We're just almost there.

871
00:43:20,480 --> 00:43:23,360
Speaker 7: Like Justin Bitt, mayor of Cleveland, will be an incredible

872
00:43:23,360 --> 00:43:24,719
Speaker 7: state wide candidate if he wants to be in a

873
00:43:24,760 --> 00:43:27,080
Speaker 7: couple of years. He just won re election there. You know,

874
00:43:27,160 --> 00:43:30,520
Speaker 7: in North Carolina, Sydney Batch, who's the minority state leader

875
00:43:30,520 --> 00:43:33,680
Speaker 7: in the state House, incredible one later. There's so many

876
00:43:33,800 --> 00:43:36,960
Speaker 7: others across, but they're young, they're younger, there's a little

877
00:43:36,960 --> 00:43:37,680
Speaker 7: more time to cook.

878
00:43:37,880 --> 00:43:41,440
Speaker 1: I do think you are doing some really great, exciting

879
00:43:41,640 --> 00:43:46,759
Speaker 1: state level bench building that we're already starting to see.

880
00:43:46,800 --> 00:43:49,279
Speaker 1: I mean, this is the sort of first cycle where

881
00:43:49,280 --> 00:43:55,040
Speaker 1: we're seeing your people go from little tiny acorns to

882
00:43:55,360 --> 00:43:56,360
Speaker 1: James tall Rico.

883
00:43:56,600 --> 00:43:59,040
Speaker 7: Right, that's right. You know, we already have six members

884
00:43:59,080 --> 00:44:01,239
Speaker 7: of Congress who've come through a pipeline, and those were

885
00:44:01,280 --> 00:44:04,200
Speaker 7: sort of like remarkable wins. This year, we have a

886
00:44:04,239 --> 00:44:06,720
Speaker 7: couple of dozen running for House, a few running for Senate,

887
00:44:06,719 --> 00:44:09,440
Speaker 7: a couple running for governor. And I am just so

888
00:44:09,600 --> 00:44:11,920
Speaker 7: excited because we're just at the beginning, like this new

889
00:44:11,960 --> 00:44:15,160
Speaker 7: generation of leaders who just cares so much and are

890
00:44:15,200 --> 00:44:19,040
Speaker 7: such effective communicators, like their rise and getrity. It's good.

891
00:44:19,360 --> 00:44:21,319
Speaker 7: The present sucks, but the future could be good.

892
00:44:21,560 --> 00:44:24,560
Speaker 1: They're not necessarily ideological.

893
00:44:24,880 --> 00:44:27,960
Speaker 7: Now, you know, we have folks across the country running

894
00:44:28,000 --> 00:44:31,160
Speaker 7: who are former Republicans who left the party. People we

895
00:44:31,200 --> 00:44:33,080
Speaker 7: are running working with a guy in Maryland this year

896
00:44:33,120 --> 00:44:35,640
Speaker 7: who started the Turning Points USA chapter in his high

897
00:44:35,680 --> 00:44:37,920
Speaker 7: school and then you know, sort of grew up a

898
00:44:37,960 --> 00:44:40,239
Speaker 7: little bit realized, oh, actually that's not what I believe.

899
00:44:40,280 --> 00:44:42,120
Speaker 7: And it's running in a deep rural part of Maryland

900
00:44:42,160 --> 00:44:44,080
Speaker 7: to flip a state House seat, run for something as

901
00:44:44,120 --> 00:44:46,480
Speaker 7: working with him, we have a number of these folks.

902
00:44:46,840 --> 00:44:49,799
Speaker 7: It is not about ideology, because voters are not ideological.

903
00:44:49,880 --> 00:44:53,880
Speaker 7: Voters have problems, they want solutions. Our candidates have values,

904
00:44:54,080 --> 00:44:56,440
Speaker 7: and they want to take take those values into governance

905
00:44:56,520 --> 00:44:59,560
Speaker 7: with them to actually solve problems. That's what it's all about.

906
00:45:00,000 --> 00:45:02,440
Speaker 1: Thank you, Amanda Letman anytime.

907
00:45:02,480 --> 00:45:11,359
Speaker 4: Moly, they're now moment perfectly Jesse Cannon, So, Molly, I'm

908
00:45:11,400 --> 00:45:16,080
Speaker 4: sure you as I did, watch this horrible, horrible murder

909
00:45:16,239 --> 00:45:19,799
Speaker 4: of a citizen of Maine by an ICE officer, and

910
00:45:20,120 --> 00:45:23,680
Speaker 4: now we're seeing that Ice targeted the wrong person.

911
00:45:24,040 --> 00:45:28,719
Speaker 2: It's almost like these people don't act very carefully because

912
00:45:28,840 --> 00:45:30,240
Speaker 2: they don't hire very well.

913
00:45:30,440 --> 00:45:35,680
Speaker 1: It's shocking that building a militia from scratch run by

914
00:45:36,200 --> 00:45:42,560
Speaker 1: Ice Barbie and her boyfriend Corey Lubanowski would be so incompetent.

915
00:45:42,719 --> 00:45:45,040
Speaker 1: I am shocked. But they're not good at this. But

916
00:45:45,040 --> 00:45:47,560
Speaker 1: those are just killing people right. And by the way,

917
00:45:47,960 --> 00:45:51,920
Speaker 1: it's important to realize like they are talking about this

918
00:45:52,560 --> 00:45:55,680
Speaker 1: as if they're not even bothering a lie about it,

919
00:45:55,719 --> 00:45:58,960
Speaker 1: because they know that this DOJ will let them get

920
00:45:58,960 --> 00:46:02,280
Speaker 1: away with anything. And that is important because the DOJ

921
00:46:02,880 --> 00:46:06,160
Speaker 1: is meant to protect the American people and not to

922
00:46:06,280 --> 00:46:11,520
Speaker 1: do whatever. This is so not, i mean, just not

923
00:46:11,800 --> 00:46:15,280
Speaker 1: very surprising, just what we thought would happen. And again,

924
00:46:15,760 --> 00:46:20,000
Speaker 1: you know here we are with this. They killed somebody.

925
00:46:20,440 --> 00:46:24,160
Speaker 1: The guy has a kid who saw him die. I

926
00:46:24,160 --> 00:46:27,080
Speaker 1: mean it's just so terrible, and it's in May, and

927
00:46:27,200 --> 00:46:29,959
Speaker 1: Ice is claiming the man, a twenty six year old

928
00:46:30,040 --> 00:46:33,440
Speaker 1: from Columbia, tried to weaponize his vehicle. That's what they

929
00:46:33,600 --> 00:46:37,960
Speaker 1: said about Renee Good too, that same thing they said

930
00:46:38,000 --> 00:46:43,320
Speaker 1: she was driving at the officer. Video shows a kyas

931
00:46:43,440 --> 00:46:47,040
Speaker 1: Dan riddled with bullet holes. When the agent finally stopped

932
00:46:47,040 --> 00:46:50,080
Speaker 1: the car, the guy was dead and he pulled him

933
00:46:50,160 --> 00:46:53,279
Speaker 1: out of the car. He was bleeding profusely from a

934
00:46:53,520 --> 00:46:57,200
Speaker 1: head wound and he said, I tried to stop. So

935
00:46:57,280 --> 00:46:59,560
Speaker 1: he wasn't dead, but he was. He said, I tried

936
00:46:59,560 --> 00:47:04,600
Speaker 1: to stop asians surrounded him. It is just completely unacceptable,

937
00:47:04,920 --> 00:47:12,600
Speaker 1: of course, and unsurprising and horrifying and all of the

938
00:47:12,600 --> 00:47:17,760
Speaker 1: things that we thought. And this is the second one

939
00:47:17,880 --> 00:47:18,440
Speaker 1: this week.

940
00:47:18,880 --> 00:47:21,239
Speaker 2: Yeah, and one of the most disturbing parts of this

941
00:47:21,480 --> 00:47:23,560
Speaker 2: is that they didn't even bother to do an investigation.

942
00:47:23,680 --> 00:47:26,919
Speaker 2: The literary street sweeped all the blood away immediately before

943
00:47:26,960 --> 00:47:27,880
Speaker 2: it could be done.

944
00:47:28,080 --> 00:47:33,160
Speaker 1: Yeah. That's it for this episode of Fast Politics. Tune

945
00:47:33,200 --> 00:47:38,880
Speaker 1: in every Monday, Wednesday, Thursday and Saturday to hear the

946
00:47:38,920 --> 00:47:43,160
Speaker 1: best minds and politics make sense of all this chaos.

947
00:47:43,440 --> 00:47:46,279
Speaker 1: If you enjoy this podcast, please send it to a

948
00:47:46,320 --> 00:47:50,360
Speaker 1: friend and keep the conversation going. Thanks for listening.