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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 Empty G's anti trans rally drew

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Speaker 1: a whole twelve people. We have a wild show today

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Speaker 1: the Daily Beasts. Zach Petrizo tells us about the race

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Speaker 1: to be Donald Trump's vice president, fascinating because many of

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Speaker 1: us didn't know he was running. Then Megan Handle and

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Speaker 1: Aaron Murphy tell us the surprising strategy they used to

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Speaker 1: turn the Minnesota Statehouse blue. But first we have former

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Speaker 1: Congressman Max Rose. Welcome to Fast Politics, Max Rose, what's up.

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Speaker 1: Very excited to have you. And one of my favorite

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Speaker 1: parts of this is before you came on, I said,

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Speaker 1: now you're not in Congress anymore, so you can be

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Speaker 1: a normal person, basically not running, not in total normalcy. Yea.

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Speaker 1: By the way, let's just talk about what the fund

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Speaker 1: is happening in Congress right now, because it's like nude

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Speaker 1: Ingridge on steroids. It blew me away for a few reasons. One,

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Speaker 1: so they went through fifteen votes, they had two months

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Speaker 1: to prepare. I'm sure what they were doing for those

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Speaker 1: two months, Like none of this should have taken him

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Speaker 1: by surprise, right, Like Ken McCarthy knew he needed votes?

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Speaker 1: What the hell was he doing? What you doing? I

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Speaker 1: don't I don't get it, Like how was he spending Christmas? Right? Like?

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Speaker 1: Was he not talking to Matt Gates? Like, Hey, how

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Speaker 1: do I avoid public embarrassment? But the other really interesting

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Speaker 1: thing is it it appeared like it was only twenty

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Speaker 1: members of the Republican caucus that realized that they could

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Speaker 1: be assholes. And I'm actually like, it's astounding that it

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Speaker 1: was the extremest wing of the Republican Party that did this,

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Speaker 1: and the moderates everyone totally fell in love, Like there

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Speaker 1: are eighteen Republicans that hold Biden districts, and they were

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Speaker 1: just like, yeah, I don't give a fuck, like whatever

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Speaker 1: you guys want to do, Like I'm just happy to

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Speaker 1: be here, like they like do like for for five days,

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Speaker 1: let's just have our branding sent around extremism. I'm cool.

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Speaker 1: It was just like I was like dumbfounded by the

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Speaker 1: whole thing. One of the things that happened in these

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Speaker 1: mid terms is that the Democratic Party in New York

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Speaker 1: and in Florida really fucked up, thus opening the door

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Speaker 1: for Republicans to. I mean, ultimately take districts that really aren't.

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Speaker 1: There's looking at you, George, Everyone's favorite, the talented Mr Santos.

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Speaker 1: So my my question for you is, like I think

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Speaker 1: it is, like really shows how cowardly that this Republican

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Speaker 1: Party is that none of the moderates had any sort

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Speaker 1: of desire to like push back at all. Well, first

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Speaker 1: of all, we could just talk about Mr Santos for

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Speaker 1: a moment. I do. I do think it's remarkable and

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Speaker 1: this is a sign of progress for the Jewish people

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Speaker 1: that people are now lying and saying that they are

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Speaker 1: Jewish now, It's true. It's a big win for our people.

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Speaker 1: Not too long ago people are rying and saying exactly

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Speaker 1: the opposite. You know, we're moving on up. Everyone wants

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Speaker 1: to be us. Everyone wants to be Jewish now, at

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Speaker 1: least if you're running from Congress in Nassau County. By

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Speaker 1: the way, do you have any desire to move to

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Speaker 1: Nassau County and run because there's certainly that just chant

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Speaker 1: just check, no shot. Every single Republican in Congress was

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Speaker 1: at a fork in the road, right and the fork

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Speaker 1: in the road was very simple, Do I carry your

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Speaker 1: favor with Kevin McCarthy by getting on early, or do

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Speaker 1: I utilize this Really it's it's a it's a singular

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Speaker 1: moment of leverage then every single member of Congress has

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Speaker 1: during the speaker vote, because you know, you can negotiate

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Speaker 1: a hell of a lot. What every single moderate decided was,

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Speaker 1: or purported moderate decided, was I'm just gonna get on

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Speaker 1: board really easy, give up all my leverage, and hopefully

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Speaker 1: they like me down the road. Now that's in stark contrast.

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Speaker 1: That's actually the exact opposite of what happened for Nancy

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Speaker 1: Pelosi during about where it was principally the people, the

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Speaker 1: Centrists in trump Ish Republican Ish districts that put their

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Speaker 1: foot down and said no, no, no, I'm gonna try

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Speaker 1: to use this as an opportunity for negotiation. Now, Pelosi

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Speaker 1: did smack the ship out of every single one of them,

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Speaker 1: myself included. So it's not as if you know, there

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Speaker 1: wasn't some like great victory that came of that, but

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Speaker 1: the dynamics, the dynamics were monumentally different than than what

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Speaker 1: we just saw. The biggest mistake that I think we're

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Speaker 1: all making here is we're looking at this as like

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Speaker 1: this singular moment of political conflict. Right, the extreme is

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Speaker 1: for is this other wing of the Republican Party that's

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Speaker 1: just about who's going to be speaker and just about

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Speaker 1: a rules package. Oh, this week alone, the Republican Party

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Speaker 1: said what do we want to focus on? They focused

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Speaker 1: on removing a woman's right to our attempting to remove

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Speaker 1: a woman's right to make our own healthcare decisions, something

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Speaker 1: that Nancy Mace, a Republican in Congress, said was idiotic

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Speaker 1: and would stand no chance of being passed by the

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Speaker 1: Senate or being side by the president or we talked

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Speaker 1: about like the weaponization of law enforcement. So the Party

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Speaker 1: of Freedom and the Party of Law Enforcement decided to

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Speaker 1: spend their first week in power in Congress going against

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Speaker 1: a woman's right to make our own healthcare decisions and

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Speaker 1: against law enforcement. It was very weird. It was a

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Speaker 1: very weird week. Yeah, fucking say, so, let's just go

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Speaker 1: on with this which is here we are, we have

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Speaker 1: these Republicans. I feel like the lesson we're seeing more

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Speaker 1: and more as the Republicans are refusing to take any

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Speaker 1: lessons from the midterms, right, Like, one of the mid

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Speaker 1: term lessons was that most voters don't like this anti

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Speaker 1: choice stuff. They don't like it. Whatever. The people that

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Speaker 1: you want to pick up that you need to pick

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Speaker 1: up in the Republican Party do not like this anti

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Speaker 1: choice stuff. So what do these Republicans do immediately a

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Speaker 1: big anti choice beell. It reminds me a little bit

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Speaker 1: of I mean, there's just weird stuff happens in politics

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Speaker 1: that there are separate wings of parties, and you know,

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Speaker 1: sometimes one side wins and the other side loses. This

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Speaker 1: week was particularly idiotic on the part of the Republicans, right,

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Speaker 1: like eighteen Biden districts, a bunch of other seats that

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Speaker 1: are super close to being Biden districts. Why are you

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Speaker 1: playing around with these weird cultural issues? Why are you

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Speaker 1: in the first you're talking all about budget you know, normalcy, Right,

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Speaker 1: we need to finally look at the budget weed to

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Speaker 1: finally be fiscally conservative and fistically disciplined, despite the fact

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Speaker 1: that you didn't talk about that at all when Donald

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Speaker 1: Trump was president. And the first thing that you want

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Speaker 1: to do is reduced the power of the I R S,

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Speaker 1: which is going to have monumental consequences to increase the deficit.

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Speaker 1: This is theater and it's nothing else. Eventually they will

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Speaker 1: hopefully start talking about ways that they can improve people's

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Speaker 1: lives and not what was found near Joe Biden's corvette.

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Speaker 1: I locked my garage, thanks Joe. So I want to

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Speaker 1: I just wanna talk about that for a second. Because

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Speaker 1: they can spend all their time passing bills that will

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Speaker 1: go nowhere. They can spend all their time, you know,

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Speaker 1: making pronouncements that will do nothing. But the thing that

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Speaker 1: they're really going to do is Benghazi at the funk up,

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Speaker 1: and I want to talk to you about that. We

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Speaker 1: saw these chairmen. They kept a few normals in, but

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Speaker 1: they went really very Freedom Caucus. Yeah no, I mean

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Speaker 1: the biggest victory of the Freedom Caucus during these negotiations

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Speaker 1: had nothing to do with the rules package. Before I

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Speaker 1: was elected to Congress, I've never heard of a rules package.

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Speaker 1: No one knows about House rules, No one cares. This

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Speaker 1: is all kind of ridiculous. They won the committee assignments,

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Speaker 1: they won the chairmanships, Jim Jordan's, they had also the

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Speaker 1: head of the Oversight Committee. And these individuals are going

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Speaker 1: to be hyper focused on for the next two years

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Speaker 1: weakening Democrats and weakening Joe Biden politically. All with the

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Speaker 1: intent of trying to win the presidency. Perhaps Kevin McCarthy's

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Speaker 1: one moment of honesty to the press was when he

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Speaker 1: said post Benghazi hearing, he said, look, we significantly weakened

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Speaker 1: Hillary Clinton, and that was our intent. They're gonna go

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Speaker 1: after everything in the kitchen sink, and they think that

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Speaker 1: will be to their political advantage. I think it would

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Speaker 1: be incredibly immoral through and through. I don't think it

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Speaker 1: will be with an eye towards improving people's lives, which

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Speaker 1: is what all of this should be focused on. And

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Speaker 1: they're going to think that, oh, that's the that's what

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Speaker 1: the Democrats did to us. So now an I for an,

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Speaker 1: i I'm sorry, Like, we have to get away from

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Speaker 1: this weird thing in politics where with one side of

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Speaker 1: the House uphold standards, the other side gets to say, well,

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Speaker 1: now we're going to funk your guys up too. So

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Speaker 1: you think it'll just be hearing upon hearing upon hearing,

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Speaker 1: I think that that will be it. I think that

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Speaker 1: there will be a few moments with the Republican Party

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Speaker 1: realizes that if they want to earn the respect of

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Speaker 1: the American people, prove that they can govern and actually

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Speaker 1: hold onto these Biden districts, like some of these are

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Speaker 1: Biden plus ten. They're gonna have to do something here. Now,

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Speaker 1: the Speaker's greatest power is the ability to decide what

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Speaker 1: gets a vote and what does not. So there will

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Speaker 1: moments under the best of circumstances. Right, this is a

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Speaker 1: new story. Kevin McCarthy is gonna say, I'll put something

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Speaker 1: on the floor of the House that the vast majority

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Speaker 1: of my own caucus will not vote for. That I

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Speaker 1: will advocate that they don't vote for. But I want

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Speaker 1: to throw a bone too, you know, ten fifteen members

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Speaker 1: of my own caucus. That's the That's the first moment.

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Speaker 1: The second moment, though, is with this debt ceiling and

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Speaker 1: this I gotta tell you men like it pisces me off,

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Speaker 1: like it kind of upsets me, like when I am

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Speaker 1: like reminded that I have to take the garbage out

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Speaker 1: by my wife. It will have another conversation ut whether

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Speaker 1: or I'm doing a good job at that. I'm sure

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Speaker 1: you're amazing at yours. It was infuriating. It is infuriating

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Speaker 1: to think that we are going to have a grand

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Speaker 1: debate about whether or not we should pay the bills

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Speaker 1: for ship that we have already spent money up what

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Speaker 1: I mean that. The other thing which I feel like

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Speaker 1: we should talk about is that while Nancy Pelosi was

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Speaker 1: and you could like her, you could not like her.

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Speaker 1: But she was very well respected, have been for a

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Speaker 1: long time. Was a master vote whipper right, that was

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Speaker 1: like her thing, and in fact, there are many articles

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Speaker 1: written about how she would kill herself to make sure

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Speaker 1: he had she had the votes. She would never bring

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Speaker 1: things up unless she knew where they were going. You know.

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Speaker 1: She was very meticulous and respected. And you might not

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Speaker 1: agree with her politically or the stock trading stuff, which

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Speaker 1: I am not a fan of, but she was focused

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Speaker 1: and organized and exactly what you want in a leader.

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Speaker 1: We have Kevin McCarthy, who cannot do math, and also

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Speaker 1: a lot of his caucus thinks he's an idiot. There's

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Speaker 1: a chance that the next two years will be the

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Speaker 1: greatest boom for Nancy Pelosi's legacy. Right, No, I mean

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Speaker 1: use every picture of her as like her being like

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Speaker 1: l O L Yes, I mean like and this is

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Speaker 1: the way these things work, right, Like. She made the

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Speaker 1: Affordable Care Act look easy, She made the path with

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Speaker 1: the Infrastructure Build Chips Bill, the gun bill, legalization of

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Speaker 1: same sex marriage, all of these things, over the Inflation

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Speaker 1: Reduction Act, the American Rescue Plan, all of these things

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Speaker 1: she made look easy in a very very small with

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Speaker 1: a very very small margin, and now we're seeing the

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Speaker 1: other side deal with an equally sized margin, and there's

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Speaker 1: an element of total political disarray, and we've got to

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Speaker 1: see her being like, you know what you'll think now right,

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Speaker 1: like really fascinating to see. There is going to be

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Speaker 1: a really significant amount of political pressure on the Republican

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Speaker 1: House Caucus to get something done, to show to to

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Speaker 1: what degree they are normal. I still do believe that,

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Speaker 1: particularly in swing states and swing districts, like we're dealing

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Speaker 1: with a relatively conservative group of people here that do

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Speaker 1: not like theatric like they don't like all of this bullshit,

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Speaker 1: and that's clear in the polling data. They're gonna be

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Speaker 1: cognizant of it. And Joe Biden, for all of his weaknesses,

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Speaker 1: Joe Biden, there's a teflon quality to this guy. How

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Speaker 1: often he stutters, no matter what's down next to his corvette,

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Speaker 1: no matter what you know occurs in his family, he

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Speaker 1: does maintain the trust of the American people and is

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Speaker 1: viewed kind of above. You know a lot of this crap.

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Speaker 1: I mean, Donald Trump had a certain element of this,

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Speaker 1: much to all of our frustration. Put the hell out

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Speaker 1: of me out how to battle this? Okay, So now

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Speaker 1: I want to ask you one of the things Kevin

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Speaker 1: McCarthy is most excited about is trying not to see

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Speaker 1: Eric il Hahn and Adam Chef for various and sundry reasons.

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Speaker 1: I mean, look, I understand what is happening, which is

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Speaker 1: that McCarthy wants a false equivalency. But I mean, do

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Speaker 1: you think he goes through with it? And what do

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Speaker 1: you go? He will absolutely go through with it. It

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Speaker 1: is guaranteed from their perspective. Right what they're saying is

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Speaker 1: is you upset house norms eye for an eye, right like,

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Speaker 1: exactly the opposite of what we teach our children, right like,

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Speaker 1: they're doing that. But again, you are also correct that

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Speaker 1: that it's based around this incredible false equivalence. Like the

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Speaker 1: one of the people whose committee, the Republicans whose committee

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Speaker 1: assignments we removed, the Democrats removed literally put out a

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Speaker 1: video trying to where he like fantasized about killing or

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Speaker 1: I don't know, like hate fucking like a member of

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Speaker 1: the Democratic Caucus. Right, it was like all types of

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Speaker 1: weird and completely it was totally warranted. It is really

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Speaker 1: really scary if we go down this road where every

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Speaker 1: side that's in power gets to just randomly remove people

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Speaker 1: from their committees. It becomes like this is like what

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Speaker 1: like ww like political WWF Like it's the it is

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Speaker 1: the strangest, weirdest thing. I hate it because like I

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Speaker 1: really actually I don't want to see people go through this.

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Speaker 1: I really hope this is the end of this era

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Speaker 1: or this use of this as a political tool. We

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Speaker 1: got to figure out another way to engage in political

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Speaker 1: combat rather than just like kicking people out of the room.

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Speaker 1: It is really really really horrible, really horrible. You know, look, man,

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Speaker 1: you want honesty. Though the people that got kicked off,

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Speaker 1: maybe they're not on the Intelligence Committee, their status just

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Speaker 1: rose even more. They're raising even money, so I'm not

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Speaker 1: even fucking share. They're upset about it. Like that's what's

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Speaker 1: so crazy about all of it, you know, right right, right,

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Speaker 1: right right, we're in this weird traine whatever is pitical celebrity.

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Speaker 1: Like it's like they're all they're all auditioning to do

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Speaker 1: something else or monetize what they currently have. They don't care.

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Speaker 1: It's a it's a reason why back in the day, right,

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Speaker 1: look at these twenty extremist Republicans. Back in the day.

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Speaker 1: What would happen is the speaker or the person who

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Speaker 1: wants to be speaker would say, all right, man, like,

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Speaker 1: you want fifteen million for a hospital you want? Can?

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Speaker 1: I can? I I'll give you fifty million dollars to

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Speaker 1: build whatever that park that you want to build, and

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Speaker 1: we can do a ribbon cutting. I think Matt Gates

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Speaker 1: gives a fuck about a park. No, he wants more followers.

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Speaker 1: He wants to be in the limelight. He wants to

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Speaker 1: be the you know, the central ringleader of the circus

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Speaker 1: because there's money there, and and there's exposure there, and

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Speaker 1: there's like endorphins and ego boost there. Real housewives of

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Speaker 1: the long Worth building. Yeah, you can just imagine it now,

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Speaker 1: right right. I mean it's completely crazy. Max Rose, So good?

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Speaker 1: Did I do better about the text message I'm gonna

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Speaker 1: get from me today? You know, by the way, reviewers

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Speaker 1: aware of like your fashion choices during your podcast Sweatshirt Listen,

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Speaker 1: this is not the worst I've looked today. I'm just still.

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Speaker 1: I think you looked phenomenal. I think you looked great.

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Speaker 1: You're a fashion forward. Zach Petrizzo is a political reporter

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Speaker 1: at The Daily Beast. Welcome back, Too Fast Politics, Zach Petriso,

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Speaker 1: Thanks so much for having me back, Molly, very exciting.

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Speaker 1: All right, first thing, first, we have to talk about

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Speaker 1: yesterday one Matt Gates, who is theoretically a member of Congress,

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Speaker 1: was subbing in interviewing George Santos, who was also theoretically

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Speaker 1: a member of Congress, while he said that Steve Bannon

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Speaker 1: was on special assignment. What was Steve Bannon special assignment?

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Speaker 1: Zach Petrizzo, It's funny you say, yeah, it's yesterday. You know,

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Speaker 1: Matt Gates is, you know, filling in for Steve Bannon.

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Speaker 1: And literally, at the start of the show, I was

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Speaker 1: watching the show, Matt, he trans kind of cover Steve

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Speaker 1: Bannon's tracks and says, Steve Bannon is on quote unquote

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Speaker 1: on assignment. And I found this really interesting because of course,

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Speaker 1: we know, you know, as a as a Steve Bannon

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Speaker 1: watcher if you will, that you know he's not just

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Speaker 1: on assignment. He's not just covering another news story. No,

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Speaker 1: he's in uh, you know, a criminal court in Manhattan

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Speaker 1: and before a judge. And so while you know Gates

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Speaker 1: is kind of trying to mundy the waters here who

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Speaker 1: his own listeners, the truth is, you know, he's in

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Speaker 1: front of a judge over this we build a wall,

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Speaker 1: we build the Wall scam. And that dates back to

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Speaker 1: the allegations that he basically kind of shimmied off money

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Speaker 1: off the top and defrauded people that had contributed to

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Speaker 1: this this this pro Trump kind of building the wall effort. Yes,

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Speaker 1: we build the wall, because I mean, the one thing

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Speaker 1: about this crime is like, honestly, I mean, a few

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Speaker 1: people could deserve to be defrauded more. But yes, again

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Speaker 1: it is still he did still commit the allegation is

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Speaker 1: still a crime. Yeah. And and in court yesterday, you know,

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Speaker 1: we saw Steve Bennon trying to delay, delay, delay, um.

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Speaker 1: At one point he even tried to delay the court

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Speaker 1: with these with with a motion that you know, it

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Speaker 1: wasn't even kind of allowed, that wasn't even so he

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Speaker 1: had a really bad day in court. And then on

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Speaker 1: top of that, you know, you know he's not even

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Speaker 1: talking to his own lawyers now, so he has until

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Speaker 1: I believe it's the end of February to find new lawyers.

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Speaker 1: So the whole case is kind off to a really

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Speaker 1: bad start for for Bannon. And you know, I think

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Speaker 1: a lot of people, especially in bandon world, are pretty

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Speaker 1: worried about this one because great Frankly could land him

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Speaker 1: in jail for for for a serious at the time.

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Speaker 1: But he did get pardoned. This does not cover because

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Speaker 1: this is federal or state. This is a state crime.

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Speaker 1: So this is out of New York. And yeah, my understanding,

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Speaker 1: My understanding is this wasn't this wasn't protected by the pardon,

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Speaker 1: and and it could you know, from kind of a

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Speaker 1: bandoned the world, it could really land him in some

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Speaker 1: serious trouble here. The thing I love is like, imagine

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Speaker 1: you get a pardon, but you still have all these

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Speaker 1: other legal cases, like incredible stuff. Yeah, yeah, yeah. And

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Speaker 1: even one of his lawyers, for example, you know, said

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Speaker 1: to the effect of Mr Bannon and his lawyers don't

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Speaker 1: communicate about this case directly. The lawyers said, there's a

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Speaker 1: direct breakdown in communication. So this is the type of

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Speaker 1: stuff that, of course, when your lawyers and you aren't talking,

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Speaker 1: pretty bad news, pretty bad stuff. Let's talk about the

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Speaker 1: So we have this Donald J. Trump, he is running

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Speaker 1: for president, even though for some reason, no one it

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Speaker 1: doesn't seem like he is. He has is already sort

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Speaker 1: of shopping for vps. Wow. Yeah, So in Trump World,

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Speaker 1: you know, there are a lot of kind of trial

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Speaker 1: balloons that Trump World and his aids and his confidence

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Speaker 1: kind of set up into the in the sky and

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Speaker 1: hoped that by floating different things, perhaps you know, the

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Speaker 1: MAGA based kind of response, and they get some feedback,

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Speaker 1: and you know, it is interesting because Donald Trump's has

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Speaker 1: this very uncharacteristically kind of tired, sleepy rundown campaign, and

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Speaker 1: the Daily Beast, you know, kind of talked with a

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Speaker 1: bunch of folks in Trump World and and gathered some

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Speaker 1: things from tragists and confidence and others um. And you know,

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Speaker 1: they gave us a couple of names. And some of

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Speaker 1: these names include Alistaponic, who of course was kind of

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Speaker 1: never Trump at one point and then turned all the

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Speaker 1: way over to being really really pro Trump. And then

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Speaker 1: we have we have Matt Marjorie Taylor Green, who of

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Speaker 1: course is a MAGA favor and you know clearly is

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Speaker 1: starting to talk with Trump and has a closer relationship

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Speaker 1: with Trump these days. According to our recording. And then

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Speaker 1: of course we have Tulsi Gabber, who is really kind

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Speaker 1: of you know, got kind of a negative reaction from

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Speaker 1: some people in Trump world, despite you know, Trump kind

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Speaker 1: of seeing her all the time on TV on Tucker

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Speaker 1: Carlson Show. Wait, people don't like her because she's a

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Speaker 1: or was a Democrat or why don't they like her?

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Speaker 1: That's the main complaint. The main complaint that we had

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Speaker 1: heard is it she doesn't even belong to the same

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Speaker 1: party really exactly, that she's just you know, we're giving

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Speaker 1: away all the farm if we if we tapped Ulsea Gabbert.

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Speaker 1: But at the end of the day, look, you know

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Speaker 1: Trump watches a lot of Fox News, as we know,

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Speaker 1: and in his post presidential days he seemed Keelsea Gabbert

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Speaker 1: a lot on Tucker Corllege from the show and just

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Speaker 1: thinks that she's really smart. And I think Trump probably

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Speaker 1: sees it as look, you know, she's saying all the

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Speaker 1: right things type of thing and doesn't really understand all

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Speaker 1: the other mago grievances that are kind of being tossed

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Speaker 1: around on Twitter. And also he doesn't if she's pretty

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Speaker 1: and she's unboxed, then I mean, isn't that basically his

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Speaker 1: political belief ultimately? Yeah, I mean I think I think

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Speaker 1: one thing we saw through this whole thing is like

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Speaker 1: it seems as though Trump's really leaning towards a woman

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Speaker 1: vice presidential candidate. You know, I don't know kind of

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Speaker 1: all the reasoning or thinking behind that, but it was

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Speaker 1: kind of a common thread and all these people and

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Speaker 1: even down to people like Carrie Lake for example, right,

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Speaker 1: another person that's kind of been tossing to the mix.

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Speaker 1: And and one thing we had heard from kind of

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Speaker 1: the folks we talk to was, look, she's great. She

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Speaker 1: really gets along with Trump because she'll say, oh, you know, man,

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Speaker 1: I love that it's raining outside. Did you hear about

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Speaker 1: this voter fraud? Every since into something about voter fraud.

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Speaker 1: But the other thing we heard were some people in

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Speaker 1: Trump world saying, look, this might be a horrible idea

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Speaker 1: because she doesn't have Kinada's general electability and and and

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Speaker 1: isn't able to kind of speak to these these broader

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Speaker 1: issues besides just talking about voter fraud. So there was

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Speaker 1: some concern there. Yeah, she doesn't have much of anything

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Speaker 1: except Trump was right. I mean, God forbid, we worry

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Speaker 1: about what voters like, but voters tend not to love

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Speaker 1: all this January sixth, you know style rhetoric. Yeah, and

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Speaker 1: and of course she comes from Arizona, which and she

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Speaker 1: couldn't win. I mean, she doesn't come from like one

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Speaker 1: of the states that's like really kind of would be

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Speaker 1: key or or something like that to kind of the

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Speaker 1: early you know primaries if you would either right, like

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Speaker 1: I don't know, maybe you would get someone like Glenn

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Speaker 1: young Can, who of course Trump hats but you know,

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Speaker 1: at least he's like in in you know, a state

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Speaker 1: by certain margins and has the backing of kind of

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Speaker 1: all the factions of the GOP. To a certain extent,

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Speaker 1: it seems like Trump, at least from our reporting, he

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Speaker 1: keeps turning into these you know, more Trump and impulses

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Speaker 1: where he sees someone like Marjorie Taylor Green as the

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Speaker 1: Trump and heels and someone who won't kind of you know,

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Speaker 1: turn her back on him like like Pence did quite frankly. Yeah,

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Speaker 1: and but turn his back on him, he means, won't

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Speaker 1: destroy the Constitution and override the election for him precisely. Yeah,

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Speaker 1: it is important. He wants someone that's really really loyal

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Speaker 1: to MAGA, which is. I also think White Tulsi, you know,

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Speaker 1: in the end, probably wouldn't work because I think she

427
00:24:42,119 --> 00:24:45,280
Speaker 1: probably has some varying perspectives on war and things like that.

428
00:24:45,440 --> 00:24:48,560
Speaker 1: So he wants someone that you know, is really really

429
00:24:48,600 --> 00:24:51,679
Speaker 1: close with the MAGA base, someone like at Leastaphonic or

430
00:24:51,680 --> 00:24:54,400
Speaker 1: a margin Tard Green. I think is is definitely a possibility. Yeah,

431
00:24:54,520 --> 00:24:59,720
Speaker 1: seems like, I mean, such an interesting and also yikes,

432
00:25:00,240 --> 00:25:03,400
Speaker 1: So tell me a little bit about what's happening right

433
00:25:03,400 --> 00:25:06,399
Speaker 1: now in Maga world. Because you follow Maga world really

434
00:25:06,800 --> 00:25:09,639
Speaker 1: even more than I do. What do you think is

435
00:25:09,680 --> 00:25:12,520
Speaker 1: happening there? Well, yeah, I think it's a really interesting question.

436
00:25:12,520 --> 00:25:14,760
Speaker 1: I think there's a lot of divides going on right now.

437
00:25:14,880 --> 00:25:19,119
Speaker 1: Right so you have, you know, after the speakership race, naturally,

438
00:25:19,320 --> 00:25:20,840
Speaker 1: I think on Capitol Hill there were a lot of

439
00:25:20,840 --> 00:25:23,679
Speaker 1: divides among the Maga set, if you would, right, So

440
00:25:23,760 --> 00:25:27,159
Speaker 1: we saw Representative Matt Gates kind of take him and

441
00:25:27,240 --> 00:25:29,879
Speaker 1: Lauren Boebert and some others with him. But then on

442
00:25:29,880 --> 00:25:31,879
Speaker 1: this other side you have people like Margor Taylor Green

443
00:25:32,119 --> 00:25:34,680
Speaker 1: and and and other kind of Maga folks that are saying, look,

444
00:25:34,760 --> 00:25:37,080
Speaker 1: let's let's stick with Trump and Carthy and let's do

445
00:25:37,160 --> 00:25:39,320
Speaker 1: this and and I'll get along. So I see these

446
00:25:39,359 --> 00:25:42,760
Speaker 1: kind of rivaling factions that are ultimately kind of you know,

447
00:25:42,800 --> 00:25:46,480
Speaker 1: taking name at each other almost secretively, right like, accusing

448
00:25:46,520 --> 00:25:50,159
Speaker 1: each other of not being anti Ukraine enough. Um is

449
00:25:50,200 --> 00:25:52,520
Speaker 1: one of the favorites that I've been hearing. So you know,

450
00:25:52,600 --> 00:25:54,480
Speaker 1: we have that kind of developing. And then of course

451
00:25:54,480 --> 00:25:56,959
Speaker 1: in right wing media, we have people turning against Marjorie

452
00:25:56,960 --> 00:26:00,280
Speaker 1: Taylor Green for for backing someone like Kevin mc arthy.

453
00:26:00,400 --> 00:26:03,640
Speaker 1: So you see her and Trump pultimately taking arrows from

454
00:26:03,680 --> 00:26:06,480
Speaker 1: these far right media entities, from these these right wing

455
00:26:06,600 --> 00:26:10,320
Speaker 1: you know shot jocks like Stuke Peters for example, over

456
00:26:10,400 --> 00:26:13,760
Speaker 1: her you know, McCarthy vote and over her backing on that.

457
00:26:13,880 --> 00:26:16,240
Speaker 1: So we really see kind of a bubbling up civil

458
00:26:16,280 --> 00:26:18,840
Speaker 1: war between these kind of two factions. Who is a

459
00:26:19,000 --> 00:26:24,200
Speaker 1: queen of Maga, Now it's a great question. It's Bobert v.

460
00:26:24,800 --> 00:26:28,040
Speaker 1: Marjorie Taylor Green, right, Yeah, So that's that's kind of

461
00:26:28,160 --> 00:26:31,639
Speaker 1: where the riff is now, especially with you know, Trump

462
00:26:31,720 --> 00:26:33,919
Speaker 1: not an office. But I don't know who would be

463
00:26:34,000 --> 00:26:36,760
Speaker 1: the queen of MAGA. I would say, look, our Gailly

464
00:26:36,800 --> 00:26:40,919
Speaker 1: Bees reporting showed that Marjorie Taylor Green was quote unquote

465
00:26:40,960 --> 00:26:43,560
Speaker 1: on the phone with Trump all the time. She clearly

466
00:26:43,640 --> 00:26:45,600
Speaker 1: has a line, as we saw in the House floor

467
00:26:45,800 --> 00:26:49,160
Speaker 1: to Trump, and they speak rather often. I know, when

468
00:26:49,359 --> 00:26:52,200
Speaker 1: we saw the Biden documents come out, you know, Marjorie

469
00:26:52,200 --> 00:26:55,160
Speaker 1: Taylor Green, you know, we had heard that she spoke

470
00:26:55,160 --> 00:26:59,120
Speaker 1: with Trump quote unquote multiple times after those documents came out.

471
00:26:59,280 --> 00:27:03,000
Speaker 1: So there definitely kind of testing the waters, and Trump

472
00:27:03,080 --> 00:27:06,560
Speaker 1: is definitely kind of thinking about who is my closest,

473
00:27:06,600 --> 00:27:09,680
Speaker 1: most loyal, kind of lieutenant to be my vice president

474
00:27:09,760 --> 00:27:13,320
Speaker 1: right now? Is there a world in which MAGA because remember,

475
00:27:13,760 --> 00:27:18,280
Speaker 1: like true, MAGA hates McCarthy right because they think McCarthy

476
00:27:18,400 --> 00:27:21,880
Speaker 1: is swamp right, So is there a world in which

477
00:27:22,760 --> 00:27:29,480
Speaker 1: MAGA Republicans turn on McCarthy, which they already have Marjorie

478
00:27:29,480 --> 00:27:33,560
Speaker 1: Taylor Green and Trump. So I think there's definitely this

479
00:27:33,560 --> 00:27:36,800
Speaker 1: this possibility that happens, I think with with ultimately Trump

480
00:27:36,840 --> 00:27:40,679
Speaker 1: coming in behind McCarthy, I think that's probably less likely

481
00:27:40,840 --> 00:27:44,720
Speaker 1: because you know, anytime these magat heads out there, a

482
00:27:44,800 --> 00:27:47,639
Speaker 1: lot of them, you know, will criticize people like Marjorie

483
00:27:47,640 --> 00:27:50,520
Speaker 1: Tayler Green right. For example, as we noted, Sebastian Gorka

484
00:27:50,720 --> 00:27:54,560
Speaker 1: has been retweeting these sexists insults aimed at Marjorie Tayler Green,

485
00:27:54,680 --> 00:27:59,320
Speaker 1: suggesting that she and mccarthur in some sort of sexual relationship,

486
00:27:59,560 --> 00:28:03,840
Speaker 1: which is a lot to unpack. But beyond that, you know,

487
00:28:03,880 --> 00:28:07,320
Speaker 1: these Magga characters feel like worka won't necessarily criticize Trump

488
00:28:07,359 --> 00:28:10,399
Speaker 1: and instead it's like, oh, you know, Trump really didn't

489
00:28:10,480 --> 00:28:12,640
Speaker 1: endorse McCarthy. It's like a game in nine D chess.

490
00:28:12,680 --> 00:28:15,720
Speaker 1: Trump didn't really endorse McCarthy. It's his it's his deep

491
00:28:15,760 --> 00:28:20,320
Speaker 1: state kind of cohort confidence around him saying to endorse McCarthy. Right,

492
00:28:20,480 --> 00:28:22,359
Speaker 1: So I think in that sense, Trump can never do

493
00:28:22,440 --> 00:28:25,400
Speaker 1: any wrong. Yeah, whereas you know, someone like marjor Taylor

494
00:28:25,400 --> 00:28:28,320
Speaker 1: Green is ultimately just kind of toss underneath the magabus. Right.

495
00:28:28,600 --> 00:28:32,400
Speaker 1: You think Trump survives this McCarthy thing, but Marjorie Taylor

496
00:28:32,440 --> 00:28:37,280
Speaker 1: Green doesn't. I want to ask you about this match

497
00:28:37,440 --> 00:28:41,840
Speaker 1: lap thing. Match lap ping of Sea Pack may not

498
00:28:41,920 --> 00:28:45,480
Speaker 1: be so interesting to our listeners because he's not that famous,

499
00:28:45,800 --> 00:28:48,800
Speaker 1: but he is very much a part of MAGA world.

500
00:28:48,880 --> 00:28:51,920
Speaker 1: To talk to me about these allegations, and do you

501
00:28:52,040 --> 00:28:55,400
Speaker 1: think like the slaps are able to keep Sea Pack

502
00:28:55,800 --> 00:28:59,920
Speaker 1: despite the allegations. Yeah, so this story was broken by

503
00:29:00,000 --> 00:29:02,520
Speaker 1: a colleague of mine, Roger Solenberger over at the Daily Beast,

504
00:29:02,640 --> 00:29:04,600
Speaker 1: and the story kind of lays out the case of

505
00:29:04,600 --> 00:29:08,880
Speaker 1: how you know herschel Walker staffer was was, you know,

506
00:29:09,160 --> 00:29:11,600
Speaker 1: match Lapp had taken a herschel Walker staffer out to

507
00:29:11,640 --> 00:29:16,240
Speaker 1: a bar and ultimately inappropriately kind of groped the male

508
00:29:16,280 --> 00:29:19,640
Speaker 1: staff or the male herschel Walker staffers Genitalia, and then

509
00:29:19,880 --> 00:29:22,320
Speaker 1: you know, the story kind of lays out this anonymous

510
00:29:22,320 --> 00:29:25,360
Speaker 1: staffers account. Since then, since the story, of course, we've

511
00:29:25,400 --> 00:29:27,680
Speaker 1: seen that the a c U and board members have

512
00:29:27,760 --> 00:29:30,040
Speaker 1: come out and said, you know, the parenting body that

513
00:29:30,080 --> 00:29:34,440
Speaker 1: owns governed Sepack says, look, you know, we we stand

514
00:29:34,440 --> 00:29:38,320
Speaker 1: by match Lap. Now what happens kind of as we

515
00:29:38,400 --> 00:29:40,960
Speaker 1: keep going, I think, you know, possibly there's more out

516
00:29:40,960 --> 00:29:44,000
Speaker 1: there who really knows. But you know, if if something

517
00:29:44,040 --> 00:29:46,120
Speaker 1: like this happens once, it's hard to think that it

518
00:29:46,200 --> 00:29:49,840
Speaker 1: hasn't happened other times. Right, So I haven't seen other

519
00:29:50,040 --> 00:29:53,040
Speaker 1: calls from like more MAGA people. I think, Look, I

520
00:29:53,080 --> 00:29:56,360
Speaker 1: think sea Pack was once kind of this Republican party

521
00:29:56,560 --> 00:29:59,200
Speaker 1: hot spot, need to stop by sea Pack. I think

522
00:29:59,240 --> 00:30:01,440
Speaker 1: it shifted a lot, you know, since it's kind of

523
00:30:01,520 --> 00:30:04,560
Speaker 1: two thousand and sixteen days now it's just Trump Pack, right,

524
00:30:04,640 --> 00:30:07,200
Speaker 1: I mean you know that from going there, Molly. Yeah,

525
00:30:07,200 --> 00:30:09,600
Speaker 1: I don't go anymore, thank god. But yeah, it's such

526
00:30:09,640 --> 00:30:12,680
Speaker 1: an important part of Maga world. I wonder if it

527
00:30:12,680 --> 00:30:15,240
Speaker 1: gets displaced now. It's kind of hard to know, but

528
00:30:15,440 --> 00:30:17,239
Speaker 1: I do think to a certain extent, Tea Pack has

529
00:30:17,240 --> 00:30:20,280
Speaker 1: become so pro Trumpian and so Trumpian that ultimately it

530
00:30:20,360 --> 00:30:23,400
Speaker 1: kind of loses some of its power in terms of

531
00:30:23,440 --> 00:30:26,960
Speaker 1: having to have all these Republicans of all different stripes

532
00:30:27,040 --> 00:30:29,520
Speaker 1: kind of come before and bow before them and say,

533
00:30:29,560 --> 00:30:31,840
Speaker 1: you know, I'm the candidate that should be the big dog,

534
00:30:32,040 --> 00:30:34,600
Speaker 1: so to speak. You know, whereas in years past it

535
00:30:34,720 --> 00:30:38,360
Speaker 1: was more everyone come. Now it's Trump Pack. It loses

536
00:30:38,360 --> 00:30:40,719
Speaker 1: its power, and I think Matt's ultimately, you know, kind

537
00:30:40,720 --> 00:30:42,920
Speaker 1: of losing his power to a certain extent. He's been

538
00:30:42,960 --> 00:30:45,760
Speaker 1: on Fox here and there. But I don't think they

539
00:30:45,800 --> 00:30:47,560
Speaker 1: have the power they want to did quite frankly, but

540
00:30:47,640 --> 00:30:52,280
Speaker 1: they still rule that conference. Yeah, I think, so what

541
00:30:52,400 --> 00:30:55,080
Speaker 1: is it? It's now down to Florida, it's not up

542
00:30:55,120 --> 00:30:58,320
Speaker 1: here at the Gaylord Hotel in Washington, d C. Yeah,

543
00:30:58,880 --> 00:31:02,880
Speaker 1: you know, last year had less media cover it. I

544
00:31:02,880 --> 00:31:05,080
Speaker 1: think media still covers it. You know, when it was

545
00:31:05,160 --> 00:31:07,960
Speaker 1: up here, everyone would attend it, you know, now not

546
00:31:08,000 --> 00:31:10,520
Speaker 1: as much. I guess we'll say, what do you think

547
00:31:10,560 --> 00:31:14,440
Speaker 1: about Christie Gnome as a possible dark horse candidate? Yeah? No,

548
00:31:14,520 --> 00:31:17,320
Speaker 1: I think that's another one. So in our in our reporting,

549
00:31:17,320 --> 00:31:19,520
Speaker 1: we had we had added her to I think she's

550
00:31:19,640 --> 00:31:22,360
Speaker 1: really you know, I saw Trump interacting with her things

551
00:31:22,360 --> 00:31:24,920
Speaker 1: on Truth Social last night. I think she's definitely one

552
00:31:24,920 --> 00:31:28,520
Speaker 1: of those characters just like at least Dephonic that you know,

553
00:31:28,800 --> 00:31:32,080
Speaker 1: is really kind of in the magi camp and is

554
00:31:32,120 --> 00:31:35,440
Speaker 1: already kind of taking you know, different shots at many

555
00:31:35,560 --> 00:31:38,960
Speaker 1: Trump voes, like Ron Santas for example. Right, And that's

556
00:31:38,960 --> 00:31:41,520
Speaker 1: basically what what Trump wants to see right now. It's

557
00:31:41,520 --> 00:31:44,880
Speaker 1: a time where these people are ultimately showing their their

558
00:31:45,120 --> 00:31:47,760
Speaker 1: their loyalty to Trump. Right. We saw last night, for example,

559
00:31:47,840 --> 00:31:51,600
Speaker 1: Carrie Lake out a tweet about a corvette and Trump

560
00:31:51,640 --> 00:31:56,080
Speaker 1: in the corvette. Yeah, that was pretty stupid, exactly, But

561
00:31:56,120 --> 00:31:59,120
Speaker 1: it's just even for her, it's the level of like simping,

562
00:31:59,200 --> 00:32:02,320
Speaker 1: it's the level of like just this pure desperation, right

563
00:32:02,920 --> 00:32:06,160
Speaker 1: of wanting to be just that confidante to Trump. And

564
00:32:06,200 --> 00:32:10,200
Speaker 1: being his pick. And it's just I mean, they're so thirsty.

565
00:32:10,200 --> 00:32:12,840
Speaker 1: They're just out there just posting these very cringe meetings

566
00:32:12,840 --> 00:32:15,920
Speaker 1: and stuff, so kind of funny to watch. Yeah, I

567
00:32:15,920 --> 00:32:20,880
Speaker 1: mean seriously, thank you so much, Zach. I hope you'll

568
00:32:20,880 --> 00:32:23,320
Speaker 1: come back. Thank you so much for having me. I

569
00:32:23,400 --> 00:32:27,160
Speaker 1: know you, our dear listeners are very busy and you

570
00:32:27,200 --> 00:32:29,600
Speaker 1: don't have time to sort through the hundreds of pieces

571
00:32:29,640 --> 00:32:33,480
Speaker 1: of pundentry each week. This is why every week I

572
00:32:33,560 --> 00:32:38,080
Speaker 1: put together a newsletter of my five favorite articles on politics.

573
00:32:38,320 --> 00:32:40,800
Speaker 1: If you enjoy the podcast, you will love having this

574
00:32:41,000 --> 00:32:44,640
Speaker 1: in your inbox every Friday. So sign up at Fast

575
00:32:44,680 --> 00:32:48,000
Speaker 1: Politics pod dot com and click the tab to join

576
00:32:48,040 --> 00:32:55,280
Speaker 1: our mailing list. That's fast politics pod dot com. Aaron

577
00:32:55,400 --> 00:33:00,280
Speaker 1: Murphy is a Minnesota state senator and Megan Hondall is

578
00:33:00,320 --> 00:33:06,880
Speaker 1: the head of Minnesota's DFL campaign. Welcome too, Fast Politics.

579
00:33:07,440 --> 00:33:10,640
Speaker 1: Thank you so. First we're going to talk to Megan.

580
00:33:10,720 --> 00:33:16,800
Speaker 1: Will you explain to us your Minnesota bona fides. Yeah,

581
00:33:16,920 --> 00:33:20,440
Speaker 1: my name's Megan. I grew up in Minnesota, but I'm

582
00:33:20,440 --> 00:33:23,200
Speaker 1: a campaign staffer who's been working across the country and

583
00:33:23,240 --> 00:33:26,640
Speaker 1: in two i ran the sun a DFL campaign. Can

584
00:33:26,640 --> 00:33:29,200
Speaker 1: you explain what DFL is. Oh, yeah, so a fun

585
00:33:29,280 --> 00:33:32,560
Speaker 1: Minnesota tidbit. We do not have a Democratic Party. We

586
00:33:32,560 --> 00:33:37,040
Speaker 1: have a Democratic Farmer Labor Party. Oh very interesting, all right,

587
00:33:37,320 --> 00:33:41,640
Speaker 1: and then we have Hi. There. I'm Aaron Murphy. I

588
00:33:41,680 --> 00:33:44,600
Speaker 1: am a registered nurse, and I serve in the Minnesota Senate,

589
00:33:44,680 --> 00:33:46,840
Speaker 1: having served in the House for twelve years, and I

590
00:33:46,880 --> 00:33:50,520
Speaker 1: love campaigning. Campaigning is a prelude to governing, and that's

591
00:33:50,520 --> 00:33:54,440
Speaker 1: why we're here. Tell me exactly how you did it.

592
00:33:54,680 --> 00:33:58,360
Speaker 1: How did you flip your state house? Let's hear the story.

593
00:33:58,840 --> 00:34:03,160
Speaker 1: So Minesota, I think traditionally folks view it as a

594
00:34:03,160 --> 00:34:06,719
Speaker 1: blue state because we go blue in presidentials, but on

595
00:34:06,760 --> 00:34:10,880
Speaker 1: the state legislature level that is quite different. For a while,

596
00:34:11,080 --> 00:34:14,399
Speaker 1: we were the only split government in the country. Our

597
00:34:14,440 --> 00:34:19,160
Speaker 1: state Senate was controlled by Republicans, and in two we

598
00:34:19,400 --> 00:34:23,040
Speaker 1: flipped the Minnesota State Senate, which was not expected by

599
00:34:23,080 --> 00:34:26,640
Speaker 1: a lot of folks. Wait, why Megan is understating, like

600
00:34:26,760 --> 00:34:29,960
Speaker 1: almost no one believed that we could win. Even though

601
00:34:29,960 --> 00:34:32,040
Speaker 1: you're a blue state, we're not really, We're more of

602
00:34:32,080 --> 00:34:36,120
Speaker 1: a purple state. On the state ledge level. We haven't

603
00:34:36,120 --> 00:34:39,400
Speaker 1: had a Democratic trifecta in about a decade, and we

604
00:34:39,480 --> 00:34:42,919
Speaker 1: got new maps like everybody else. And while we could

605
00:34:42,920 --> 00:34:45,719
Speaker 1: see a path to victory in that new map, it

606
00:34:45,800 --> 00:34:48,040
Speaker 1: was a very competitive map, and that it was a

607
00:34:48,080 --> 00:34:50,440
Speaker 1: mid term and people were sure that Joe Biden was

608
00:34:50,440 --> 00:34:52,560
Speaker 1: going to be a dragon. The ticket said to those

609
00:34:52,640 --> 00:34:55,919
Speaker 1: who look at elections and make an early declaration, there's

610
00:34:55,920 --> 00:34:57,919
Speaker 1: no way you can win a majority. But both Megan

611
00:34:57,960 --> 00:34:59,480
Speaker 1: and I believe we could do it. So what do

612
00:34:59,560 --> 00:35:03,560
Speaker 1: you do? We did four things. Actually, one, we invested early.

613
00:35:04,040 --> 00:35:06,880
Speaker 1: I think in campaigns you can almost always raise more money,

614
00:35:06,960 --> 00:35:09,400
Speaker 1: but you can't go back in time and hire more staff.

615
00:35:09,760 --> 00:35:11,960
Speaker 1: Come September. You're not going to be able to just

616
00:35:12,000 --> 00:35:14,680
Speaker 1: put in an army of well trained door knockers wherever

617
00:35:14,760 --> 00:35:18,000
Speaker 1: you want. But if you hire those people before other campaigns,

618
00:35:18,080 --> 00:35:20,520
Speaker 1: hire um, before anyone else gets to them, keep them

619
00:35:20,560 --> 00:35:24,200
Speaker 1: on staff, you are able to make that early investment count.

620
00:35:24,520 --> 00:35:28,359
Speaker 1: And we did that. We began raising money almost immediately

621
00:35:28,400 --> 00:35:31,480
Speaker 1: after Megan was hired into this position and I was

622
00:35:31,520 --> 00:35:34,400
Speaker 1: elected as the chair of the Caucus pampaign. We knew

623
00:35:34,400 --> 00:35:36,759
Speaker 1: we needed to raise significant money and we needed to

624
00:35:36,800 --> 00:35:38,840
Speaker 1: do it early in order to fund the program that

625
00:35:38,880 --> 00:35:42,120
Speaker 1: we wanted to build. To win the selection and how

626
00:35:42,160 --> 00:35:45,400
Speaker 1: did you do it? So we really updated our playbook,

627
00:35:45,400 --> 00:35:48,560
Speaker 1: which is what I think campaigns should do every single cycle.

628
00:35:49,040 --> 00:35:52,760
Speaker 1: You can't assume every cycle is like the last one, right,

629
00:35:53,080 --> 00:35:56,680
Speaker 1: was so different from two was a whole new beast.

630
00:35:57,120 --> 00:36:00,319
Speaker 1: So we made a couple very strategic decisions that we

631
00:36:00,400 --> 00:36:03,000
Speaker 1: had never done before. For folks listening, it might not

632
00:36:03,040 --> 00:36:05,399
Speaker 1: sound like a big deal, but we switched away from

633
00:36:05,440 --> 00:36:08,520
Speaker 1: cable and we invested in broadcast, which was a three

634
00:36:08,520 --> 00:36:12,080
Speaker 1: and a half million dollar decision, which was scary to do. Wait,

635
00:36:12,160 --> 00:36:15,799
Speaker 1: you've invested in that's so counter on tunitenove you know,

636
00:36:16,080 --> 00:36:19,880
Speaker 1: you actually think that, but it's not. You have to

637
00:36:19,920 --> 00:36:21,920
Speaker 1: meet the voters where they are, and a lot of

638
00:36:21,960 --> 00:36:25,120
Speaker 1: times they're at home watching the news, right, So it

639
00:36:25,239 --> 00:36:28,560
Speaker 1: was sort of you invest in local news. Really yeah. Yeah,

640
00:36:28,600 --> 00:36:32,320
Speaker 1: we invested in a lot of TV, but we also

641
00:36:32,440 --> 00:36:36,080
Speaker 1: invested in mail and digital and a lot of staff.

642
00:36:36,520 --> 00:36:40,040
Speaker 1: And another thing we did which was really different is

643
00:36:40,480 --> 00:36:42,759
Speaker 1: if we decided to spend in a race, we went

644
00:36:42,880 --> 00:36:46,200
Speaker 1: all out. So it can be easy to have these

645
00:36:46,200 --> 00:36:49,960
Speaker 1: incredible candidates across the state who are really worthy of

646
00:36:50,000 --> 00:36:53,200
Speaker 1: some investment, but then you wind up sprinkling your dollars

647
00:36:53,239 --> 00:36:55,880
Speaker 1: all across, when what you really need to do in

648
00:36:55,960 --> 00:36:59,719
Speaker 1: cycles is you need to pick your districts in your path.

649
00:37:00,040 --> 00:37:02,400
Speaker 1: And we really only had six and we had to

650
00:37:02,400 --> 00:37:04,759
Speaker 1: win five out of six, and you have to go

651
00:37:05,000 --> 00:37:07,319
Speaker 1: all out in those districts and spend all of your

652
00:37:07,320 --> 00:37:09,919
Speaker 1: money there, which was a whole new approach for us,

653
00:37:09,960 --> 00:37:13,120
Speaker 1: and I think different than how a lot of state

654
00:37:13,480 --> 00:37:16,520
Speaker 1: caucuses run. So we made that change and I think

655
00:37:16,520 --> 00:37:19,160
Speaker 1: it was one of the most crucial changes that we

656
00:37:19,200 --> 00:37:22,360
Speaker 1: made the cycle. And I will say that the Senate

657
00:37:22,600 --> 00:37:24,719
Speaker 1: and I'm newer to the Minnesota Senate. I've I've been

658
00:37:24,760 --> 00:37:27,279
Speaker 1: part of caucus campaigns but in the House, but they

659
00:37:27,280 --> 00:37:32,239
Speaker 1: have relied on a similar playbook cycle after cycle. And

660
00:37:32,280 --> 00:37:35,200
Speaker 1: having served now for it had been six years in

661
00:37:35,239 --> 00:37:38,720
Speaker 1: the minority, there was a lot of appetite to make change,

662
00:37:39,080 --> 00:37:41,440
Speaker 1: but not a lot of clarity about what that meant.

663
00:37:41,640 --> 00:37:44,160
Speaker 1: And so with a new team and with a new focus,

664
00:37:44,640 --> 00:37:49,000
Speaker 1: we did choose very early to invest early, to raise

665
00:37:49,080 --> 00:37:53,240
Speaker 1: and invest early in high quality staff, to recruit early,

666
00:37:53,880 --> 00:37:56,479
Speaker 1: really really strong candidates. I want to give a lot

667
00:37:56,600 --> 00:38:00,400
Speaker 1: of praise to Megan for the very strategic approach to

668
00:38:00,440 --> 00:38:03,920
Speaker 1: this race. We tested ourselves in every measure, so we

669
00:38:03,960 --> 00:38:07,920
Speaker 1: didn't just pick because of, you know, a decent candidate someplace.

670
00:38:08,640 --> 00:38:11,040
Speaker 1: We didn't pick because we wanted a place in the past.

671
00:38:11,160 --> 00:38:14,799
Speaker 1: We looked very deeply into the data in each of

672
00:38:14,840 --> 00:38:17,840
Speaker 1: the races where we thought we could win, to challenge

673
00:38:17,840 --> 00:38:19,880
Speaker 1: ourselves to make sure we were on the right path.

674
00:38:20,120 --> 00:38:22,520
Speaker 1: And probably one of the hardest jobs that we faced

675
00:38:22,520 --> 00:38:24,720
Speaker 1: and encountered through the course of this race was making

676
00:38:24,760 --> 00:38:29,560
Speaker 1: sure that we didn't get pushed by other elected officials

677
00:38:29,680 --> 00:38:32,880
Speaker 1: or donors or others who had a favorite in the

678
00:38:32,960 --> 00:38:35,839
Speaker 1: race or an ankling in the race to try and

679
00:38:35,880 --> 00:38:38,160
Speaker 1: take us off the path. We knew we had a

680
00:38:38,239 --> 00:38:40,200
Speaker 1: narrow path and we needed to stick to it, and

681
00:38:40,200 --> 00:38:42,640
Speaker 1: we had the data to back ourselves up, and we

682
00:38:42,760 --> 00:38:45,840
Speaker 1: used that data and those proof points to get people

683
00:38:45,840 --> 00:38:48,200
Speaker 1: to buy into the program so they would support us.

684
00:38:48,680 --> 00:38:51,200
Speaker 1: And we were right. And up until the day before

685
00:38:51,200 --> 00:38:53,399
Speaker 1: the race, there were still people saying there's no way

686
00:38:53,400 --> 00:38:55,839
Speaker 1: you're gonna win. But we had done the work, We

687
00:38:55,880 --> 00:38:59,200
Speaker 1: had recruited incredible candidates, they had done the work. We

688
00:38:59,280 --> 00:39:02,200
Speaker 1: spent our time in the field on the doors, and

689
00:39:02,280 --> 00:39:05,920
Speaker 1: we won by a narrow majority, but we won again decisively.

690
00:39:06,120 --> 00:39:09,239
Speaker 1: So what would you tell their state parties? I would

691
00:39:09,239 --> 00:39:11,360
Speaker 1: tell them to knock more doors. And you think you

692
00:39:11,400 --> 00:39:15,760
Speaker 1: need to write and that is not only candidate should

693
00:39:15,800 --> 00:39:18,879
Speaker 1: knock more doors, but staff needs to knock doors. No

694
00:39:18,880 --> 00:39:20,880
Speaker 1: matter what department you are in, you need to be

695
00:39:20,920 --> 00:39:23,799
Speaker 1: on the doors. I think as Democrats we can get

696
00:39:23,840 --> 00:39:30,919
Speaker 1: so caught up in crafting the perfect talking points. YEA, clearly. Yeah.

697
00:39:30,960 --> 00:39:32,799
Speaker 1: You take it to the voters and you knock on

698
00:39:32,840 --> 00:39:35,360
Speaker 1: their door and you say you're beautiful talking point, and

699
00:39:35,400 --> 00:39:38,800
Speaker 1: they're like, what the heck? When sometimes the best talking

700
00:39:38,840 --> 00:39:41,879
Speaker 1: points happen when you're on the doors with folks. You're

701
00:39:41,960 --> 00:39:45,200
Speaker 1: listening to their stories, you're understanding what they think about

702
00:39:45,280 --> 00:39:47,239
Speaker 1: day to day, and you're meeting them where they are.

703
00:39:47,760 --> 00:39:50,120
Speaker 1: So if you think you're knocking enough doors, you're not.

704
00:39:50,320 --> 00:39:52,279
Speaker 1: You need to knock more, no matter who you are.

705
00:39:52,560 --> 00:39:55,400
Speaker 1: I think we have to remember that every election is

706
00:39:55,520 --> 00:39:57,799
Speaker 1: the next chapter in our work, and that we should

707
00:39:57,880 --> 00:40:00,239
Speaker 1: take lessons from our past. But we have to plan

708
00:40:00,400 --> 00:40:04,319
Speaker 1: for what we're what we're heading into, investing early in

709
00:40:04,320 --> 00:40:07,560
Speaker 1: in high quality staff, in a culture that supports them,

710
00:40:07,880 --> 00:40:11,000
Speaker 1: and in candidates and their ability to run the campaign

711
00:40:11,000 --> 00:40:13,840
Speaker 1: that they want to that they're proud of. Were strategic

712
00:40:13,920 --> 00:40:16,799
Speaker 1: choices that we made that really paid off while we knew,

713
00:40:17,280 --> 00:40:18,880
Speaker 1: you know, and I think about a year ago and

714
00:40:18,920 --> 00:40:21,160
Speaker 1: the early polling that we did that there were issues

715
00:40:21,280 --> 00:40:24,480
Speaker 1: like public safety and inflation that we're going to be issued.

716
00:40:24,520 --> 00:40:28,760
Speaker 1: Through the course of this campaign, issues like reproductive freedom

717
00:40:28,800 --> 00:40:32,799
Speaker 1: and protecting our democracy emerged and mostly emerged first at

718
00:40:32,800 --> 00:40:35,680
Speaker 1: the doors, where people were telling us what they were

719
00:40:35,719 --> 00:40:38,560
Speaker 1: worried about, and our candidates were able to incorporate that

720
00:40:38,680 --> 00:40:41,960
Speaker 1: into their message, and it became the foundation for a

721
00:40:42,000 --> 00:40:44,759
Speaker 1: lot of the message messaging that we did through the

722
00:40:44,760 --> 00:40:47,360
Speaker 1: course of the campaign. So this is interesting because it

723
00:40:47,600 --> 00:40:51,279
Speaker 1: is like you kind of had, Like, for example, I

724
00:40:51,320 --> 00:40:53,799
Speaker 1: saw so many times that polling was wrong. I mean

725
00:40:53,880 --> 00:40:56,759
Speaker 1: a great example is like Lauren Bobert ran against the

726
00:40:56,800 --> 00:40:59,760
Speaker 1: Sky Adam Fresh. We had him on the podcast Everyone

727
00:41:00,000 --> 00:41:03,719
Speaker 1: and You're crazy. He won't ever win. He lost by

728
00:41:03,800 --> 00:41:07,680
Speaker 1: seven votes. So there were many many races like this

729
00:41:07,800 --> 00:41:11,160
Speaker 1: where the polling was just way way off and you know,

730
00:41:11,239 --> 00:41:14,279
Speaker 1: and certain people lost when they could have won. I mean,

731
00:41:14,360 --> 00:41:17,319
Speaker 1: I think of Mandela Barnes is another great example. I mean,

732
00:41:17,360 --> 00:41:20,520
Speaker 1: that was very type. You know, it turned out that

733
00:41:20,640 --> 00:41:24,520
Speaker 1: he wasn't ahead by seven points or whatever. So you're

734
00:41:24,600 --> 00:41:27,920
Speaker 1: saying that you can actually that you that the exposure

735
00:41:27,920 --> 00:41:30,719
Speaker 1: you had with voters actually informed in ways that the

736
00:41:30,719 --> 00:41:34,359
Speaker 1: polling did not. Yeah, definitely. I also think you have

737
00:41:34,400 --> 00:41:36,480
Speaker 1: to take polling as a little piece of the puzzle

738
00:41:36,680 --> 00:41:39,719
Speaker 1: and not the whole thing, right, So much of this

739
00:41:39,880 --> 00:41:44,200
Speaker 1: is really dependent upon the candidate, the district and everything.

740
00:41:44,480 --> 00:41:47,600
Speaker 1: We won. In a couple of districts that Trump won,

741
00:41:48,000 --> 00:41:50,919
Speaker 1: we outperformed the top of the ticket, which I think

742
00:41:51,160 --> 00:41:54,200
Speaker 1: nationally Democrats don't really view that is happening, right. They

743
00:41:54,200 --> 00:41:56,320
Speaker 1: think that the top of the ticket has coat tails,

744
00:41:56,440 --> 00:41:59,440
Speaker 1: and however long those coat tails are, are your odds

745
00:41:59,520 --> 00:42:02,040
Speaker 1: of getting this majority on the state ledge level, and

746
00:42:02,080 --> 00:42:05,000
Speaker 1: that's really not the case. We really treated these as

747
00:42:05,040 --> 00:42:08,359
Speaker 1: individual races, and we took polling really seriously. We took

748
00:42:08,440 --> 00:42:10,600
Speaker 1: data really seriously. But when it comes to state ledge

749
00:42:10,680 --> 00:42:14,040
Speaker 1: level polling, you're never going to get the amount of

750
00:42:14,120 --> 00:42:16,480
Speaker 1: data that you need. So you really do have to

751
00:42:16,480 --> 00:42:19,400
Speaker 1: rely on actually knocking on doors and listening to what

752
00:42:19,480 --> 00:42:22,480
Speaker 1: your candidate is saying is happening in their district. Yes,

753
00:42:22,960 --> 00:42:25,160
Speaker 1: and I think that's a really good point. I mean, again,

754
00:42:25,320 --> 00:42:28,520
Speaker 1: it is, you know, one of these things where I mean,

755
00:42:28,600 --> 00:42:31,880
Speaker 1: if you look at the two elections, you can see

756
00:42:32,120 --> 00:42:35,120
Speaker 1: that there were certain states where the state party really

757
00:42:35,680 --> 00:42:37,839
Speaker 1: and I'm gonna curse now, so I know you guys

758
00:42:37,840 --> 00:42:40,680
Speaker 1: are from Minnesota, so I don't want to like, but no,

759
00:42:40,840 --> 00:42:43,279
Speaker 1: I'm just kidding where the state party really fucked up

760
00:42:43,520 --> 00:42:46,360
Speaker 1: and places where the state party really delivered. And I

761
00:42:46,440 --> 00:42:49,440
Speaker 1: mean places the state party really funked up New York, Florida,

762
00:42:49,880 --> 00:42:53,600
Speaker 1: places where they really delivered Wisconsin. I mean Tony Iver's

763
00:42:53,680 --> 00:42:57,000
Speaker 1: four points. That's like, that's a landside for Wisconsin. So

764
00:42:57,080 --> 00:43:00,440
Speaker 1: what your story is really about is about working on

765
00:43:00,480 --> 00:43:03,720
Speaker 1: the state level, right, Yeah. I think Democrats are finally

766
00:43:03,719 --> 00:43:07,759
Speaker 1: starting to realize that this new post Row era, we're

767
00:43:07,760 --> 00:43:09,959
Speaker 1: either going to lose our rights at the state level

768
00:43:10,160 --> 00:43:12,880
Speaker 1: or protect them at the state level, so the investments

769
00:43:12,960 --> 00:43:17,960
Speaker 1: we make are crucial. They also decide how redistricting goes,

770
00:43:18,080 --> 00:43:20,640
Speaker 1: which affects the federal level, so we can't ignore them

771
00:43:20,680 --> 00:43:24,239
Speaker 1: any longer. Megan mentioned at the start here about the

772
00:43:24,840 --> 00:43:28,600
Speaker 1: goal of raising money early and early investment, and we

773
00:43:28,600 --> 00:43:32,360
Speaker 1: were making a really strong argument with donors and allies

774
00:43:32,400 --> 00:43:35,719
Speaker 1: and partners and with candidates about the shape of this race.

775
00:43:35,800 --> 00:43:39,520
Speaker 1: But it is really important at this moment to underscore

776
00:43:39,920 --> 00:43:42,920
Speaker 1: the discipline of this election and the discipline that Megan

777
00:43:42,960 --> 00:43:45,760
Speaker 1: brought to this election, whether it was on the data

778
00:43:45,800 --> 00:43:49,040
Speaker 1: front and making sure that we were really clear about

779
00:43:49,120 --> 00:43:53,120
Speaker 1: our path and our way to get there, about informing

780
00:43:53,440 --> 00:43:56,560
Speaker 1: our decisions so that when they were made, we were

781
00:43:56,600 --> 00:43:58,560
Speaker 1: clear about why we were doing them and making a

782
00:43:58,600 --> 00:44:02,560
Speaker 1: really really clear choice. And that I think is counterintuitive

783
00:44:02,600 --> 00:44:04,880
Speaker 1: as well when you think about state parties, because we

784
00:44:04,960 --> 00:44:07,960
Speaker 1: didn't go off the regular playbook, and there were plenty

785
00:44:08,000 --> 00:44:10,600
Speaker 1: of people, including some of my elected colleagues, who were

786
00:44:10,680 --> 00:44:13,120
Speaker 1: raising their eyebrows and saying, why are you doing X,

787
00:44:13,239 --> 00:44:15,400
Speaker 1: Y or Z. But we always had the data to

788
00:44:15,440 --> 00:44:18,399
Speaker 1: back up our decision making, and in a close race,

789
00:44:18,560 --> 00:44:21,719
Speaker 1: those decisions are consequential. And I just can't say enough

790
00:44:22,400 --> 00:44:25,480
Speaker 1: about the you know, the credit I want to give

791
00:44:25,520 --> 00:44:27,600
Speaker 1: to Megan into the team that she built to bring

792
00:44:27,680 --> 00:44:30,400
Speaker 1: us through a really tough election and into a victory

793
00:44:30,440 --> 00:44:33,080
Speaker 1: that was largely one in the field. And for all

794
00:44:33,080 --> 00:44:36,360
Speaker 1: of the decision making that drove us to that great outcome,

795
00:44:36,520 --> 00:44:40,120
Speaker 1: what were the things that raised eyebrows were pretty mean

796
00:44:40,520 --> 00:44:43,400
Speaker 1: when it came to our TV ads, we were not

797
00:44:43,560 --> 00:44:46,680
Speaker 1: Minnesota nice. No listen, I mean, I want to know

798
00:44:46,719 --> 00:44:49,520
Speaker 1: how you want. That's what we're talking about here. Yeah,

799
00:44:49,600 --> 00:44:52,879
Speaker 1: So we had an ad that they tried to get

800
00:44:52,960 --> 00:44:57,440
Speaker 1: pulled off TV for it being inappropriate maybe in some

801
00:44:57,560 --> 00:45:00,680
Speaker 1: of the language. We're pretty vicious though, right, you have

802
00:45:00,760 --> 00:45:03,960
Speaker 1: to show voters who these elected officials could be or

803
00:45:04,000 --> 00:45:06,359
Speaker 1: who they are. And as much as voters say they

804
00:45:06,360 --> 00:45:09,560
Speaker 1: hate negative campaigning, it does work and sometimes you have

805
00:45:09,719 --> 00:45:13,080
Speaker 1: to be okay, you know, showing showing voters who your

806
00:45:13,080 --> 00:45:15,480
Speaker 1: candidates are, and that was one of the things that

807
00:45:15,520 --> 00:45:17,920
Speaker 1: we really changed. And then on the flip side, we

808
00:45:18,000 --> 00:45:21,040
Speaker 1: also had these incredible candidates who were distant from the

809
00:45:21,080 --> 00:45:25,000
Speaker 1: negative ads, who knocked on so many doors, who had

810
00:45:25,040 --> 00:45:28,480
Speaker 1: these incredible races and these incredible teams. Everyone talks about

811
00:45:28,560 --> 00:45:32,319
Speaker 1: these grassroots movements, and I don't think people really understand

812
00:45:32,920 --> 00:45:35,480
Speaker 1: how important it is to have people who are just

813
00:45:35,560 --> 00:45:38,720
Speaker 1: knocking doors day in and day out, because that makes

814
00:45:38,760 --> 00:45:41,040
Speaker 1: one of the biggest differences. I know that sounds like

815
00:45:41,080 --> 00:45:44,520
Speaker 1: it contradicts each other, but really those are two ways

816
00:45:44,520 --> 00:45:47,560
Speaker 1: that we want. We had incredible candidates in districts that

817
00:45:47,600 --> 00:45:49,520
Speaker 1: we're going to be hard for us to win. And

818
00:45:49,560 --> 00:45:51,520
Speaker 1: so there were questions about why aren't you doing more

819
00:45:51,600 --> 00:45:54,680
Speaker 1: in District X, Y or Z, because look how strong

820
00:45:54,719 --> 00:45:57,200
Speaker 1: this candidate is, how much money they've raised, how many

821
00:45:57,280 --> 00:46:00,440
Speaker 1: doors that they're knocking, and that sirens song have have

822
00:46:00,520 --> 00:46:03,000
Speaker 1: spread yourself out, maybe we can win some more. Things

823
00:46:03,400 --> 00:46:06,640
Speaker 1: is a danger and we were very disciplined about making

824
00:46:06,680 --> 00:46:10,360
Speaker 1: sure that we understood our path. Also, we wanted to

825
00:46:10,360 --> 00:46:13,920
Speaker 1: make sure that the candidates understood that every one of them,

826
00:46:14,000 --> 00:46:17,200
Speaker 1: every one of our sixty four candidates, contributed to our victories.

827
00:46:17,239 --> 00:46:20,120
Speaker 1: So even in the hardest races, when we did our

828
00:46:20,200 --> 00:46:24,919
Speaker 1: post campaign evaluation, we had candidates talking about how they

829
00:46:24,960 --> 00:46:27,759
Speaker 1: didn't win, but they contributed to the victory for the

830
00:46:27,760 --> 00:46:32,000
Speaker 1: attorney general and to our majority, and that that pays

831
00:46:32,080 --> 00:46:34,960
Speaker 1: dividends as well going forward for us. So that's like

832
00:46:35,160 --> 00:46:39,320
Speaker 1: the argument like in North Dakota, they didn't Democrats didn't

833
00:46:39,440 --> 00:46:42,160
Speaker 1: run for some of these congressional seats because they knew

834
00:46:42,200 --> 00:46:44,480
Speaker 1: it was, you know, in our plus forty. But this

835
00:46:44,560 --> 00:46:47,120
Speaker 1: makes the case and I and we've had people on

836
00:46:47,160 --> 00:46:50,160
Speaker 1: this podcast before we've talked we've talked about this, especially

837
00:46:50,560 --> 00:46:54,760
Speaker 1: from Run for Something that if you run candidates even

838
00:46:54,880 --> 00:46:57,759
Speaker 1: in districts where you know you may lose, you know

839
00:46:57,840 --> 00:47:00,920
Speaker 1: in our plus twenty in our post that actually it

840
00:47:01,040 --> 00:47:04,200
Speaker 1: helps other candidates nearby. I mean, I don't know what

841
00:47:04,239 --> 00:47:08,000
Speaker 1: the causality there is, but that is what it does, right. Yeah,

842
00:47:08,120 --> 00:47:12,319
Speaker 1: And those districts, especially in those excerpts too, they might

843
00:47:12,360 --> 00:47:15,400
Speaker 1: be our plus ten right now, but in four years,

844
00:47:15,440 --> 00:47:17,640
Speaker 1: eight years, twelve years, they're not going to be. And

845
00:47:17,719 --> 00:47:20,960
Speaker 1: you can't just start from nothing unexpect to flip a seat.

846
00:47:21,040 --> 00:47:23,799
Speaker 1: So you have to have voters and volunteers who are

847
00:47:23,800 --> 00:47:27,000
Speaker 1: engaged and ready to go. So if you run good

848
00:47:27,040 --> 00:47:30,600
Speaker 1: candidates across a state, it really does make a difference

849
00:47:30,960 --> 00:47:34,040
Speaker 1: in that cycle and in future cycles too. Yeah. No,

850
00:47:34,280 --> 00:47:36,360
Speaker 1: I mean, and I think that's a really good point.

851
00:47:36,480 --> 00:47:38,480
Speaker 1: Now that you guys have flipped your state House, where

852
00:47:38,480 --> 00:47:40,800
Speaker 1: do you go from here? You know, we're at the

853
00:47:40,880 --> 00:47:43,640
Speaker 1: very beginning of what I believe will be a very

854
00:47:43,640 --> 00:47:47,200
Speaker 1: productive two years for the state of Minnesota in following

855
00:47:47,239 --> 00:47:50,120
Speaker 1: through and the commitments that we've made to the people

856
00:47:50,120 --> 00:47:54,080
Speaker 1: of Minnesota. So we're gonna, of course enshrine reproductive freedom,

857
00:47:54,400 --> 00:47:57,440
Speaker 1: do paid family leave, We're going to invest in our schools,

858
00:47:57,760 --> 00:47:59,440
Speaker 1: We're going to do the things that we said we

859
00:47:59,440 --> 00:48:02,000
Speaker 1: were going to do for the people of Minnesota. They

860
00:48:02,040 --> 00:48:04,440
Speaker 1: expect us to do those things, and for me, who

861
00:48:04,520 --> 00:48:08,160
Speaker 1: is a practitioner and a hopeful, joyful kind of politics.

862
00:48:08,560 --> 00:48:11,040
Speaker 1: When we ask the voters for support and we don't

863
00:48:11,080 --> 00:48:13,520
Speaker 1: follow through, when we break our word, we contribute to

864
00:48:13,560 --> 00:48:17,680
Speaker 1: the cynicism that really undermines our fundamental democracy. And then

865
00:48:17,920 --> 00:48:20,840
Speaker 1: I am already looking at Megan here. We're already talking

866
00:48:20,880 --> 00:48:23,960
Speaker 1: about the next election, which is just four years away,

867
00:48:24,040 --> 00:48:27,480
Speaker 1: and preparing the groundwork now so that we can compete

868
00:48:27,480 --> 00:48:29,640
Speaker 1: in the next one in the terms and conditions of

869
00:48:29,680 --> 00:48:32,880
Speaker 1: that race and expand their majority. That all sounds great.

870
00:48:33,080 --> 00:48:42,520
Speaker 1: Thank you guys, so much, Thank you, Thank you, Molly

871
00:48:42,600 --> 00:48:48,680
Speaker 1: John Fast, Jesse Cannon. So, Kathy Hokold, newly elected by

872
00:48:48,840 --> 00:48:51,000
Speaker 1: a little less than everybody thought she'd get elected by,

873
00:48:51,080 --> 00:48:56,080
Speaker 1: for some reason, is imitating Andrew Cuomo's governing tactics, which

874
00:48:56,120 --> 00:48:58,960
Speaker 1: no one wants. Yeah, I think this is a really

875
00:48:59,080 --> 00:49:02,920
Speaker 1: important case. Kathy hoko was a previous guest of ours.

876
00:49:03,080 --> 00:49:07,200
Speaker 1: Um she has sort of decided that she has to

877
00:49:07,280 --> 00:49:11,479
Speaker 1: have this can't this judge Hector Lassalle, and she wants

878
00:49:11,480 --> 00:49:13,840
Speaker 1: to put him on the highest court and he he sucks.

879
00:49:13,920 --> 00:49:18,399
Speaker 1: He's an anti choice, he's andre labor union. Nobody wants him.

880
00:49:19,200 --> 00:49:23,120
Speaker 1: He's been rejected by progressives everywhere. And she is not

881
00:49:23,320 --> 00:49:27,080
Speaker 1: backing down, and she is just super hot to get

882
00:49:27,120 --> 00:49:30,440
Speaker 1: this guy on the court. And you know, as we know,

883
00:49:30,800 --> 00:49:33,680
Speaker 1: part of the reason that Democrats lost the House was

884
00:49:33,760 --> 00:49:39,200
Speaker 1: because Cuomo cut this redistricting deal in twelve which kicked

885
00:49:39,200 --> 00:49:43,640
Speaker 1: the can down too and had this nonpartisan redistricting which

886
00:49:43,680 --> 00:49:48,000
Speaker 1: gave Republicans a bunch of safe seeds. And so now

887
00:49:48,040 --> 00:49:51,239
Speaker 1: we have Hoco who's basically doing exactly the same thing,

888
00:49:51,680 --> 00:49:56,399
Speaker 1: and she's also supporting this really terrible uh the head

889
00:49:56,400 --> 00:49:59,640
Speaker 1: of the Democratic Party of New York, a guy called

890
00:49:59,719 --> 00:50:03,280
Speaker 1: j Acobs, who also has just done a terrible job

891
00:50:03,440 --> 00:50:07,319
Speaker 1: with the to election and needs to resign. You know,

892
00:50:07,400 --> 00:50:11,000
Speaker 1: we try not to get involved in like inter parties squabbles,

893
00:50:11,040 --> 00:50:14,680
Speaker 1: but this is really bad and Kathy Hokel needs to

894
00:50:14,760 --> 00:50:17,360
Speaker 1: get it together. She represents people of New York. The

895
00:50:17,400 --> 00:50:19,719
Speaker 1: people of New York elected a Democrat. They do not

896
00:50:19,800 --> 00:50:24,279
Speaker 1: want a Republican taking the highest court. That's it for

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00:50:24,320 --> 00:50:28,120
Speaker 1: this episode of Fast Politics. Tune in every Monday, Wednesday,

898
00:50:28,160 --> 00:50:31,080
Speaker 1: and Friday to your the best minds, and politics makes

899
00:50:31,120 --> 00:50:34,399
Speaker 1: sense of all this chaos. If you enjoyed what you've heard,

900
00:50:34,800 --> 00:50:37,680
Speaker 1: please send it to a friend and keep the conversation going.

901
00:50:38,120 --> 00:50:39,800
Speaker 1: And again, thanks for listening.