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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 we have such a great show

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Speaker 1: for you today, the Good Liar Zone. Jason Salvig stops

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Speaker 1: by to talk about what he saw at a Michigan

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Speaker 1: Trump rally and Donald Trump's plain drama. Then we'll talk

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Speaker 1: to Alyssa Ellman about her run for New York's twenty

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Speaker 1: fourth congressional district. But first the news.

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Speaker 2: It's my big election night last night. The biggest headline,

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Speaker 2: of course, is the Francesca Hog looks like she's going

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Speaker 2: to lose by point to David Crowley, another Midwest stunning

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Speaker 2: reboot buke of polsters accuracy.

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Speaker 1: Yes at night for Democratic primary polling. We saw this

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Speaker 1: at Michigan too. Look, David Crowley is a county executive

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Speaker 1: of Milwaukee and he was endorsed by the governor. Very

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Speaker 1: kind of middle of the road guy, but a young guy,

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Speaker 1: young Democratic comes from Milwaukee. That's important because, as we've

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Speaker 1: heard from other guests, Madison doesn't necessarily have the same

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Speaker 1: sway over the state that and Hung was from Madison

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Speaker 1: that Milwaukee does. A few thoughts on this, I feel

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Speaker 1: very strongly that this media framing that it's the left

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Speaker 1: versus the center is really wrong, especially in especially in

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Speaker 1: this case, because it was really hung She did some

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Speaker 1: interviews on Fox that really blew up and made her

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Speaker 1: look bad, But she did a lot of really good

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Speaker 1: town halls and she had a lot of organizing power

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Speaker 1: that I think wasn't really talked about. But I also think,

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Speaker 1: you know, she's a small business owner and some of

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Speaker 1: her message was about small business. So again, so yes,

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Speaker 1: she's a leftist, but I don't think the framing was right.

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Speaker 1: And when we look at a state like minute Soda

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Speaker 1: and the Senate race where we have Peggy flan Again

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Speaker 1: versus Antie Craig, and Angie Craig is just not as

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Speaker 1: good a candidate as Peggy flan Again. And Peggy Flanagan

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Speaker 1: is the lieutenant governor, she is as much establishment as

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Speaker 1: Anngie Craig. The state parties tend to endorse people they

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Speaker 1: know and remember, like they're going to know a congress

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Speaker 1: person more than they're going to know a state somebody

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Speaker 1: who is the statewide position. But I think that ultimately

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Speaker 1: that framing doesn't really fit for this, And so I

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Speaker 1: think we need to sort of pull back when we

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Speaker 1: get a kind of media frame because really a lot

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Speaker 1: of these races have to do with candidate quality, and

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Speaker 1: doctor El sayed in Michigan is a really good candidate.

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Speaker 1: He speaks really well. He has a really good three

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Speaker 1: part slogan and in a way that speaks more about

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Speaker 1: how people vote. People don't necessarily on policy, they vote

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Speaker 1: on people. And I just think this framing is wrong,

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Speaker 1: and I think that a lot of these primary results

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Speaker 1: show it.

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Speaker 2: Yeah, I think there is an interesting thing here too

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Speaker 2: that a lot of people are saying that the polls broke,

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Speaker 2: that the polls broke against her because they didn't think she.

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Speaker 1: Was electable, right, And that's certainly possible, but it is important,

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Speaker 1: like you need to be able to do those those

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Speaker 1: media interviews and being on Fox is actually really helpful.

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Speaker 1: And we've seen other people do really well on Fox.

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Speaker 1: Even doctor El said has gone on Fox and done well.

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Speaker 2: Yeah. So, in other nuts election news out of a

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Speaker 2: Wisconsin Sean Duffy's son in law who's twenty six, who's

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Speaker 2: many people are questioning his haircut choices. He is one

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Speaker 2: in Sean Duffy's old district, the nomination for Republicans. It's

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Speaker 2: an R plus eleven. So who is a great chance

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Speaker 2: of winning, but in this environment at being a bad,

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Speaker 2: bad nom knee he may not want.

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Speaker 1: It's the NEPO baby. I say, this is NEPO baby myself,

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Speaker 1: Nepo baby election cycle, right, the baby party Trump is.

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Speaker 1: You know, Trump is a netbo baby. He has begot

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Speaker 1: other netbo babies. The admin is filled with netbo babies.

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Speaker 1: Some of us call them fail suns. This guy's twenty

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Speaker 1: six is not a ton of experience. It's an R

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Speaker 1: plus eleven. We have there's polling that shows a generic

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Speaker 1: as in as a D plus or a D plus eleven.

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Speaker 1: So there's a world in which these seats just go.

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Speaker 2: What I think is very good news is Peggy Flan again,

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Speaker 2: the lieutenant governor of Minnesota, has won decisively by over

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Speaker 2: twenty points, which is pretty crazy because this is another

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Speaker 2: review of the polls, because these polls were all over

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Speaker 2: the place and had the race much tighter.

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Speaker 1: Yeah, and again we talked about this before. Antie krak Is,

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Speaker 1: she's a member of Congress, went run ran in a

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Speaker 1: purple district, but is not a great politician. Flanagain is

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Speaker 1: a really talented politician, has been on this podcast a

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Speaker 1: number of times, Like this is a candidate quality question

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Speaker 1: is much as anything. Also, Angie Craig did vote for

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Speaker 1: this lakeln Riley Act, which was just like one of

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Speaker 1: these very craven Republican talking point bills. So again, is

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Speaker 1: this left versus center or is this good candidates to

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Speaker 1: represent people? You know, I was reading a mainstream news

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Speaker 1: story that did not mention once that Flanagan is the

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Speaker 1: lieutenant governor of the state. That's actually a real job,

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Speaker 1: that's a statewide elected office. And so the idea that

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Speaker 1: she's some like Rando and Surgeon, No, that's not right.

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Speaker 1: And she's a really good candidate. She's been on this

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Speaker 1: podcast a ton of times, and she speaks extremely well,

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Speaker 1: and she has this story of growing up in public

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Speaker 1: housing and she lived the American dream. Yeah, she would

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Speaker 1: be one of the very few indigenous senators ever to

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Speaker 1: be in the Senate.

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Speaker 2: So we also see a very shocking upset.

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Speaker 3: Rep.

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Speaker 2: John Larson from Connecticut's first District is now the seventh

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Speaker 2: House Democrats to lose their primary this year, losing to

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Speaker 2: the mayor of Hartford.

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Speaker 1: Yeah, but he's really that guy got elected. He's seventy

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Speaker 1: eight years old. So again Democrats have learned from the

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Speaker 1: Biden debacle and they have decided that you can be

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Speaker 1: a nice guy and we can like you a lot,

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Speaker 1: and you would be eighty in the next cycle. And

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Speaker 1: like it's too much that I don't think you don't

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Speaker 1: have seventy eight year old pilots. Like candidate who won

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Speaker 1: the John Larson seat was a mayor of Hartford, and

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Speaker 1: he had some experience with government, and he's young, and

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Speaker 1: he's not left versus center. It's just a younger candidate.

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Speaker 2: We should also say John Larson had a partial seizure

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Speaker 2: on the Congressional four and they really did shake voters. Yes,

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Speaker 2: so we also see another sign that Trump's script on

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Speaker 2: elected officials trying to get elected is slipping. Darling Graham

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Speaker 2: did not clinch the nomination by getting fifty percent of

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Speaker 2: this taping. And as we'll talk about later, Mike Lindell, well,

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Speaker 2: he's still counting the twenty twenty elections, so he's gonna

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Speaker 2: have a lot of fun counting this one.

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Speaker 1: Yeah, And there's another part to this that I just

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Speaker 1: want to add, because when you look at these primaries,

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Speaker 1: voter turnout is real, and we see that in Wisconsin.

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Speaker 1: The primaries saw seven hundred and ninety one thousand voters

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Speaker 1: cast ballots for Democrats in the governatorial We're only four

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Speaker 1: hundred and ninety voted Republican in that in the GOP

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Speaker 1: gouvernatorial primary. So that means that Democrats are more excited

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Speaker 1: to vote in the Wisconsin primary, and that is meaningful

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Speaker 1: for any number of reasons. But really, Wisconsin is a

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Speaker 1: swing state. It tends to be that even though Democrats

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Speaker 1: have won a lot of stuff in Wisconsin, Wisconsin, it

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Speaker 1: tends to be by one or two or three per

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Speaker 1: tent a percentage points. So the fact that we're seeing

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Speaker 1: seven high versus four hundred and ninety k in those

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Speaker 1: congrats and the goubernatorial primary, that's a big deal. And

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Speaker 1: that is turnout is real. And Minnesota same again, it's

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Speaker 1: a blues date, but six hundred and a voter's casting

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Speaker 1: ballots for Democrats in the primary versus only four hundred Republicans,

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Speaker 1: So turnout is higher than for Democrats than in twenty

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Speaker 1: four and twenty.

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Speaker 2: That's crazy. Somali AOC has sparked a big discussion after

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Speaker 2: quoting city councilman Chosa, who I'm a big fan of.

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Speaker 1: I know, if you're listening to this, Coosa, come on

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Speaker 1: the podcast.

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Speaker 2: So she quoted him saying Wokman was crazy, and this

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Speaker 2: has sparked a debate about what was woke one and

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Speaker 2: what is woke too? Do you have thoughts?

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Speaker 1: Okay, So my thoughts are aoc is a really talented politician,

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Speaker 1: and she sees that some of the woke one stuff

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Speaker 1: is not popular, and so she is giving can democratic

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Speaker 1: candidates an out. She's saying that you can say some

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Speaker 1: of this stuff. I'm not even going to say what

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Speaker 1: it is because I don't even want to create an

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Speaker 1: environment where I give it life. But I think it

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Speaker 1: is smart to give democratic politicians and out when things

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Speaker 1: didn't work or they said things that maybe they didn't

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Speaker 1: mean in the heat of the moment. And so I

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Speaker 1: think she's smart for doing it. But I'm very curious

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Speaker 1: to hear what you think, Jesse.

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Speaker 2: So I think that there's an interesting theory that I'm

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Speaker 2: starting to believe more and more, which is that what

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Speaker 2: a lot of woke did with the reason when that

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Speaker 2: people say woke scold, is it felt like you were

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Speaker 2: being scolded for having fun, and that made voters who,

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Speaker 2: let's be honest, we have to often cater to them

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Speaker 2: feel uncomfortable, even though I think what most of the

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Speaker 2: woke schols are saying is correct, and a lot of

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Speaker 2: this is about people's civil rights, and we have to

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Speaker 2: keep fighting for people's civil rights. But there does hit

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Speaker 2: a point where we're basically just saying you can't have fun.

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Speaker 2: And I have a theory that personally that no one

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Speaker 2: likes a hall monitor, but we have a lot of

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Speaker 2: hall monitor personalities that send the power in politics, and

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Speaker 2: the fact of the matter is that turns a lot

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Speaker 2: of people off because the vast majority of people don't

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Speaker 2: like a hall monitor for a personality. They don't like

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Speaker 2: a school that says you're having fun, stop having fun.

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Speaker 2: Whether that is right for people's civil rights or not

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Speaker 2: is a big conflict that the Democrats are going to

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Speaker 2: have to learn how to navigate over time, because we

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Speaker 2: do have to keep fighting for people's rights. I firmly

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Speaker 2: believe that, but we also have to figure out how

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Speaker 2: to do it in a not so joyless way.

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Speaker 1: Yeah, I think that's smart. I mean, I agree, there's

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Speaker 1: no reason to throw any group under the bus. There's

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Speaker 1: no reason not to believe. I mean, there is room

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Speaker 1: in my mind in the Democratic Party for people who

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Speaker 1: are who are anything, and so don't I agree that

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Speaker 1: it's not This is not I don't think that woke

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Speaker 1: one was crazy is about not fighting for civil rights.

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Speaker 1: I think it's about giving politicians and out when they

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Speaker 1: said something stupid in the heat of the moment. And again,

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Speaker 1: what we realize is that Republicans are very good at

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Speaker 1: staying in lockstep and messaging in a way that is

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Speaker 1: newly convincing, and they do it in a way that

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Speaker 1: serves them, and Democrats sometimes have trouble getting on the

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Speaker 1: same page when it comes to messaging. I don't think

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Speaker 1: any of this is about policy. I think all of

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Speaker 1: this is about speaking to voters, and so the idea

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Speaker 1: that sometimes Democrats got over their skis is I think

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Speaker 1: giving them an out is good and I think it

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Speaker 1: does show and it speaks to really the ways in

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Speaker 1: which AOC is a really talented communicator.

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Speaker 2: Yeah, and I think another one of the big discussions

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Speaker 2: we're also having is every interview with doctor abdel al

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Speaker 2: said just talks about something Streamer, Hassan, pikers, and now

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Speaker 2: something people don't understand about Hassan Pikers. He talks for

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Speaker 2: three hundred and twenty days a year, for ten hours

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Speaker 2: a day on average. So he said a lot of

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Speaker 2: things that are really dumb, because any of us would

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Speaker 2: if we talked that much, and I think tying to

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Speaker 2: everyone you met. Ever, just as we all were mad

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Speaker 2: because Alma talked to Bill Airs a few times at

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Speaker 2: parties and this was all the media fixated. Well, I

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Speaker 2: was mad at the media. I was.

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Speaker 1: Bill Airs taught me. It taught me at Bennington, so

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Speaker 1: I was on mad. Oh we didn't teach me, but

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Speaker 1: he was a student at benningdon.

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Speaker 2: I'm more saying we were mad at the media for

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Speaker 2: talking every hour as if this is the important thing

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Speaker 2: instead of material things that affect our lives. What doctor

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Speaker 2: abdul l say, did I think is teaching us about

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Speaker 2: what two point oh is? He keeps talking about how

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Speaker 2: we change America's lives, not that he hung out and

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Speaker 2: did a rally with one guy who said some dumb

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Speaker 2: things might talk for one.

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Speaker 1: I just want to add one thing about this. We've

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Speaker 1: had so many just torturous conversations about why there isn't

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Speaker 1: a Joe Rogan of the left right, like we need

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Speaker 1: a Joe Rogan of the left. Okay, guys, you have

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Speaker 1: a Joe Rogan of the left. He's not maybe for

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Speaker 1: the people, for a lot of us, but that he's

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Speaker 1: not supposed to be, Like Joe Rogan isn't for certain people.

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Speaker 1: He's not for a lot of people, but he's edgy

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Speaker 1: and he gets certain voters who might otherwise not come

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Speaker 1: to the Republican Party. I mean, he's technically not a Republican,

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Speaker 1: but we all know that Trump interview got to millions

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Speaker 1: of people. And so if you want a Joe Rogan

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Speaker 1: of the left, that is not going to be a

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Speaker 1: person who's for everyone. And I don't think I think

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Speaker 1: the whole idea that if you're a candidate and you

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Speaker 1: go on someone show, like Democratic candidates need to go everywhere,

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Speaker 1: they need to go on Fox News even if they

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Speaker 1: don't agree with any of the stuff Fox News does,

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Speaker 1: because Fox News is bigger than all of these candidates,

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Speaker 1: and you have to make a decision like you go

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Speaker 1: on Joe Rogan even though Joe Rogan is insane on

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Speaker 1: a lot of topics. And that is the same calculus

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Speaker 1: for Hassan Piker. It's you go on these podcasts even

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Speaker 1: if you don't agree with what the people are saying,

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Speaker 1: and so I actually believe that it's not you know,

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Speaker 1: he should just say, like, I'm on this network and

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Speaker 1: I don't believe what you believe, Like this is not

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Speaker 1: the whole idea that you can tarnish someone for where

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Speaker 1: they go is I think a really wrong way to

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Speaker 1: think about this. And like, I certainly go on the

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Speaker 1: media apparatuses of places that I don't agree with, and

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Speaker 1: I do it because we have to go everywhere, and

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Speaker 1: because sometimes you go on these places and you're the

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Speaker 1: only quote unquote liberal they'll ever see. And what we've

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Speaker 1: learned from twenty sixteen, what we've learned from twenty twenty

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Speaker 1: is that there is the high road is empty. Okay,

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Speaker 1: there is no one there and it's not going to

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Speaker 1: serve and Democratic candidates do not win by taking the

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Speaker 1: high road.

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Speaker 2: Yeah, okay, we need to talk quickly about two things

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Speaker 2: that I think are very very disturbing. So Treasury Secretary

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Speaker 2: Scott Descent has changed the rules of corporate reporting for

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Speaker 2: foreign nations having corporate interests in America, and now ownership

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Speaker 2: will not be disclosed about companies in America.

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Speaker 1: Yeah, they're just gnawing away at everything that we need.

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Speaker 1: Everything sane in our government that has to do with oversight.

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Speaker 1: They are taking away. And remember they changed it so

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Speaker 1: companies didn't have to report every quarter, Right, they change that,

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Speaker 1: And they're just doing everything they can to sort of

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Speaker 1: gnawway at our checks and balances when it comes to

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Speaker 1: stuff like this. And Bessett said, it's a burdensome requirement.

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Speaker 1: And again, this is like how companies are supposed to

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Speaker 1: have this, This is what they're supposed to do. They're

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Speaker 1: supposed to be required to do these things. So it's

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Speaker 1: very annoying. It's not just annoying. It's going to ultimately

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Speaker 1: be really bad. And they're going to get rid of

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Speaker 1: previous information reported by Americans for the government. I mean,

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Speaker 1: it's just they're going to get rid of the information database.

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Speaker 1: It's just going to lead us somewhere bad.

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Speaker 2: Yeah. So, speaking of leading us somewhere bad, Trump has

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Speaker 2: been constantly talking about invading Greenland, and now we have

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Speaker 2: a chicken early egg situation that is pretty bad. So

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Speaker 2: doctor Phil went to Greenland with an oil company that

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Speaker 2: decided to just start drilling there even though they have

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Speaker 2: no right to and this is insane.

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Speaker 1: This is so insane. It's a Texas firm began shipping

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Speaker 1: drilling equipment to Greenland in late July ahead of breaking grounds.

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Speaker 1: It is not there. They're going to start exploratory drilling,

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Speaker 1: leading to a strong warning. And this is completely insane

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Speaker 1: to the licensee, a separate firm in partnership with Greenland Energy,

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Speaker 1: they have to get approval from the country that they

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Speaker 1: want to grill, to drill in and it's just an insane,

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Speaker 1: insane thing. It's up to Greenland and Denmark, and like,

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Speaker 1: I think they should find the they should find the company.

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Speaker 1: The palm here with so much of trump Ism is

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Speaker 1: there's no penalty for bad behavior.

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Speaker 3: Right.

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Speaker 1: People can behave in a terrible way and they just

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Speaker 1: get away with it and like make fines, put people

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Speaker 1: in jail, Like this stuff is illegal. Like we just

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Speaker 1: keep seeing with this administration that people are doing illegal

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Speaker 1: stuff and no one is following the law and making

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Speaker 1: sure that they stop doing it. It's just an insane,

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Speaker 1: insane moment in American life. And I just don't know

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Speaker 1: how how this keeps going on. And also Trump of

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Speaker 1: course is linked to this, so Ken Griffin owns a

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Speaker 1: nine point three percent steak in Greenland Energy, so he

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Speaker 1: is a critic of Trump, but he also has donated

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Speaker 1: Trump though he's not a huge Trumper. The company announced

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Speaker 1: it appointed Carol Craig to its board. Craig, you may

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Speaker 1: remember she is part of the Golden Dome missile defense fiasco.

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Speaker 1: It's got a lot of Trumpet people around it. Jason

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Speaker 1: Selvic is one half of the Good Liars. Welcome, Welcome, Jason.

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Speaker 4: Oh my goodness, it's so good to be back. Always

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Speaker 4: a pleasure to be here.

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Speaker 1: Rounding a decade of covering Trump.

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Speaker 4: So I know I'm well aware.

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Speaker 1: I'm well aware, yes, as you and I have been

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Speaker 1: just doing this forever. And Trump has finally found a

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Speaker 1: story that I think has really made him so furious.

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Speaker 1: First of all, everything that has to do with the

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Speaker 1: jet makes Trump furious, and then the story of him

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Speaker 1: hiding in the catering truck. So just for anyone who's

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Speaker 1: not just completely read in on this, there was a

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Speaker 1: really good Washington Post story. They broke this story that

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Speaker 1: showed that he's supposedly on Air Force One, but it

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Speaker 1: was actually just Marco and all of the press corps.

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Speaker 1: They snuck him and Natalie Harp and DoD Secretary Warrior

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Speaker 1: fighter you know the best Pete Hegsath I mean that

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Speaker 1: ironically into the catering truck and then they took another plane.

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Speaker 1: Donald Trump really mad to be embarrassed about that discuss.

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Speaker 4: Well, I look, it was so crazy, and I've always

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Speaker 4: started every sentence with that, and the Trump era, it's like,

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Speaker 4: this is so crazy until the next crazy thing happens.

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Speaker 4: But the fact that he was like, listen, if there

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Speaker 4: was a credible threat, you would have gone down. We

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Speaker 4: would have gone down together, all of us. But he

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Speaker 4: had yeah, exactly, like why did we have to put

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Speaker 4: the window shades down? That was a little odd. Is

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Speaker 4: there a threat? Should we worried? It's like, well, look,

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Speaker 4: if I go, you go. But he that was not true.

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Speaker 4: That was a lie. And it's not what if you go,

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Speaker 4: you go? If you go, I watch, I watch, And

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Speaker 4: that like maybe is the most sociopathic, like disturbing part

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Speaker 4: of all of this is that he was lying to

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Speaker 4: people's faces when maybe they were in danger, like we

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Speaker 4: don't know that, like how serious threat was. Obviously it

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Speaker 4: was serious enough that he was going to be taken

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Speaker 4: out in a catering cart and swept away into another plane.

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Speaker 4: But I thought it was so so odd that his

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Speaker 4: reaction afterwards, and he always overcompensates for everything, but this

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Speaker 4: was like at it. It was like up to two

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Speaker 4: and eleven from the usual ten where he was he

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Speaker 4: was like, this is this. Look why you ask a

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Speaker 4: question about this? There's always threats against me, and now

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Speaker 4: we see this when the story comes out. Now it's

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Speaker 4: like on top of the plane thing where he had

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Speaker 4: made an excuse that he was going to like take

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Speaker 4: the other plane back to show the soldiers for morale

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Speaker 4: or something that made no sense. Everyone's like, what are

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Speaker 4: you what are you even talking about here? And then

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Speaker 4: this comes out and obviously like the Secret Service, if

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Speaker 4: there is a threat, It wasn't like Trump was calling

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Speaker 4: the shots on this and being like we're going to

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Speaker 4: do this. But it is a disturbing thing that for

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Speaker 4: reporters to be like you were used as a decoy

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Speaker 4: and potentially like they if there was a threat. They

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Speaker 4: everyone thought that Trump was on the plane and he

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Speaker 4: wasn't on the plane, and I guess it was like, well,

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Speaker 4: you got to protect the president, and that makes sense.

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Speaker 4: We also what happened in like after nine to eleven

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Speaker 4: with George W. Bush on nine to eleven, he was

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Speaker 4: just like going from air Force base to air Force base.

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Speaker 4: Nobody really knew where he was for ten hours. So

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Speaker 4: obviously that's the job of the secret services to protect

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Speaker 4: the president. But the layers of this story, it's like

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Speaker 4: an onion you peel it. It's like the jet. There's

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Speaker 4: like the lig to the reporters, the using as a decoy,

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Speaker 4: but it's something that really bothers him, And I like,

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Speaker 4: that's what makes me want to peel the onion just

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Speaker 4: a little bit more to see, like what else is

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Speaker 4: underneath here, Maybe we get to his the insecurity at

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Speaker 4: the bottom of all this well.

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Speaker 1: And I think the story that speaks to me here

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Speaker 1: is that when after the plane story, you know, then

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Speaker 1: there was reporting about how air Force won the Katari

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Speaker 1: plane wasn't ready for flight and had been rushed and

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Speaker 1: didn't have the necessary safety features. Then Donald Trump got

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Speaker 1: really mad and had his DOJ, which, by the way,

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Speaker 1: not how the DOJ is supposed to work, subpoena a

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Speaker 1: bunch of journalists in their houses. So like we are

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Speaker 1: seeing right here what happens when Donald Trump gets embarrassed, right,

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Speaker 1: and he sends his dog after journalists, which, by the way,

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Speaker 1: there is no precedent for.

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Speaker 4: No And it's like it is the amount of of

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Speaker 4: like manpower and the amount of the US government is

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Speaker 4: being used to protect Donald Trump's feelings, Like we've never

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Speaker 4: seen anything like this before. You know, he's very I'm

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Speaker 4: not that's that's not a joke. Like he is really

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Speaker 4: really sensitive and if he gets his feelings hurt, that's

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Speaker 4: when you see him act out in such irrational ways.

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Speaker 4: And it's like going back to the twenty twenty election,

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Speaker 4: Like he's still going back to this because he can't

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Speaker 4: deal with the fact that, like he saw on TV

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Speaker 4: that he lost that when that Saturday morning when Fox

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Speaker 4: News called the election called Arizona. He still has that

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Speaker 4: feeling of like deep insecurity, feeling like a loser, and

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Speaker 4: that totally goes against his entire personality, the whole brand

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Speaker 4: that he's built for himself, and he's just tries to

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Speaker 4: break that down and he'll use he's using the actual

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Speaker 4: he's using the whole government just to protect his feelings.

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Speaker 4: And I can't imagine what it's like to be on

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Speaker 4: his staff just knowing like his ego is more important

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Speaker 4: than Americans lives for the most part, like it's his

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Speaker 4: ego is more. We must protect that at all costs

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Speaker 4: because one, that's going to hurt your job if he

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Speaker 4: gets upset or his feelings are hurt, and then and

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Speaker 4: then two, if his feelings are hurt, there will be

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Speaker 4: real world repercussions for everyone, and we don't and there's

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Speaker 4: no stopping it.

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Speaker 1: No. I mean, there are seven countries that Donald Trump

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Speaker 1: has foray into in his quest and foreign wars everywhere,

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Speaker 1: and you know he has his eyes on Iceland and Greenland.

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Speaker 1: On Iceland, sorry, so let's talk on Greenland.

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Speaker 4: I'm sorry Greenland.

434
00:24:50,080 --> 00:24:53,640
Speaker 1: Yes, Greenland easy to confuse and he confuses them sometimes too.

435
00:24:53,720 --> 00:24:54,919
Speaker 4: And have we talked about this for it?

436
00:24:54,960 --> 00:24:55,200
Speaker 5: He was.

437
00:24:55,320 --> 00:24:57,359
Speaker 4: I think he likes Greenland because it's so big on

438
00:24:57,440 --> 00:24:59,960
Speaker 4: a map and he thinks it looks really big. That's it.

439
00:25:00,160 --> 00:25:01,280
Speaker 4: That's the reason he likes it.

440
00:25:01,560 --> 00:25:05,800
Speaker 1: It also makes the Europeans really freaked out, which isn't

441
00:25:05,920 --> 00:25:07,000
Speaker 1: yet another reason.

442
00:25:06,760 --> 00:25:09,720
Speaker 4: To do rightfully. So yeah, kicks over a country.

443
00:25:09,800 --> 00:25:13,600
Speaker 1: Yeah yeah, I can't imagine why. I'm mad Mandak. When

444
00:25:13,600 --> 00:25:17,920
Speaker 1: we talk about the twenty twenty election, there is there

445
00:25:17,920 --> 00:25:21,439
Speaker 1: were some primaries this week, and one of them featured

446
00:25:21,720 --> 00:25:24,760
Speaker 1: the You know, we talk about a lot of primaries,

447
00:25:24,760 --> 00:25:27,440
Speaker 1: but the primary that I don't think is getting enough

448
00:25:27,480 --> 00:25:35,280
Speaker 1: attention is this Minnesota Republican gubernatorial which in which a

449
00:25:35,320 --> 00:25:42,280
Speaker 1: figure from the twenty twenty election denialism rears his complicated

450
00:25:42,320 --> 00:25:43,200
Speaker 1: head once again.

451
00:25:43,880 --> 00:25:46,720
Speaker 4: My pilloud Yes.

452
00:25:46,119 --> 00:25:51,920
Speaker 1: Mike, Linda. He is refusing to accept the results, discuss.

453
00:25:51,680 --> 00:25:54,239
Speaker 4: Who could have seen this coming? The guy who like

454
00:25:54,960 --> 00:25:57,960
Speaker 4: spent all of this time and money to on the

455
00:25:57,960 --> 00:26:01,439
Speaker 4: twenty twenty election is now saying that this election is

456
00:26:01,480 --> 00:26:05,760
Speaker 4: stolen or and he lost by quite a lot. It

457
00:26:05,800 --> 00:26:08,159
Speaker 4: was not like it's not a nail bier here, Like

458
00:26:08,240 --> 00:26:10,560
Speaker 4: he lost by tens of thousands of votes from the

459
00:26:10,640 --> 00:26:11,800
Speaker 4: last half that I saw.

460
00:26:11,800 --> 00:26:14,359
Speaker 1: And he's now second place or third place? Is he

461
00:26:14,359 --> 00:26:15,119
Speaker 1: even in second?

462
00:26:15,200 --> 00:26:18,639
Speaker 4: I think it's yeah, yeah, but he it's I've had

463
00:26:18,640 --> 00:26:20,640
Speaker 4: a couple run INDs with him and you see him,

464
00:26:20,960 --> 00:26:24,520
Speaker 4: and he is he's somebody that like when you see

465
00:26:24,600 --> 00:26:27,280
Speaker 4: him on TV, and you know some people you see

466
00:26:27,280 --> 00:26:30,640
Speaker 4: like ranting and raving on TV and you're like, okay,

467
00:26:30,840 --> 00:26:33,239
Speaker 4: that's an act. They're doing it for the cameras. This

468
00:26:33,320 --> 00:26:34,840
Speaker 4: is going to get the clicks. This is going to

469
00:26:34,840 --> 00:26:38,080
Speaker 4: get the notoriety that is him all the time. He

470
00:26:38,240 --> 00:26:41,720
Speaker 4: is at a ten all the time. I spoke with

471
00:26:41,800 --> 00:26:44,240
Speaker 4: him at the r N Sorry at Sea Pack, I

472
00:26:44,280 --> 00:26:45,919
Speaker 4: think it was twenty twenty two, and I went up

473
00:26:45,920 --> 00:26:47,919
Speaker 4: to me asking her like a question about the election,

474
00:26:48,240 --> 00:26:51,800
Speaker 4: and then he started like screaming at me and saying

475
00:26:51,840 --> 00:26:55,879
Speaker 4: that my dad worked for like dominion voting and like

476
00:26:55,960 --> 00:26:59,000
Speaker 4: a family of working for dominion, and that was asking

477
00:26:59,040 --> 00:27:01,760
Speaker 4: the question to him. And I was like, this is

478
00:27:01,840 --> 00:27:05,399
Speaker 4: not somebody who is is stable. But somehow he has

479
00:27:05,600 --> 00:27:08,520
Speaker 4: been endorsed by the President of the United States to

480
00:27:08,600 --> 00:27:13,600
Speaker 4: be the governor of Minnesota. And it's it blows my

481
00:27:13,680 --> 00:27:16,760
Speaker 4: mind that he's still relevant after all these years, when

482
00:27:16,840 --> 00:27:20,120
Speaker 4: basically his whole deal was one being like an infomercial

483
00:27:20,480 --> 00:27:24,720
Speaker 4: Pellow salesman, and then he went from that to having

484
00:27:24,760 --> 00:27:27,000
Speaker 4: the ear of the president and taking this twenty twenty

485
00:27:27,040 --> 00:27:31,800
Speaker 4: election conspiracy theory to like the next level. And we

486
00:27:31,880 --> 00:27:34,560
Speaker 4: saw him at the White House in twenty twenty one

487
00:27:34,880 --> 00:27:38,720
Speaker 4: with martial law written on a piece of paper when

488
00:27:38,720 --> 00:27:41,360
Speaker 4: he was going to meet with Donald Trump. That's right,

489
00:27:42,000 --> 00:27:45,119
Speaker 4: think this guy shall I think he spelled it incorrectly

490
00:27:45,200 --> 00:27:45,560
Speaker 4: as well.

491
00:27:45,600 --> 00:27:46,560
Speaker 1: It's a hard word.

492
00:27:46,960 --> 00:27:48,800
Speaker 4: It's a hard word. It's a hard yeah. Well there's

493
00:27:48,840 --> 00:27:54,120
Speaker 4: two yeah, there's two ways to yeah. Yeah. But for him,

494
00:27:54,160 --> 00:27:58,320
Speaker 4: losing is a good sign. I think if you are

495
00:27:58,359 --> 00:28:01,800
Speaker 4: not a fan of Donald Trump and his way, because

496
00:28:02,320 --> 00:28:04,399
Speaker 4: there was a time, you know, in the in the

497
00:28:04,400 --> 00:28:07,560
Speaker 4: midterms in in where Donald Trump would endorse somebody maybe

498
00:28:07,560 --> 00:28:11,439
Speaker 4: they would lose. They'd win the election the primary, and

499
00:28:11,480 --> 00:28:15,119
Speaker 4: then they would go and maybe lose in like herschel

500
00:28:15,200 --> 00:28:23,440
Speaker 4: Walker and Roy Moore that the guy Moore masters, all

501
00:28:23,480 --> 00:28:27,000
Speaker 4: those all those fun, fun characters. But like it, on

502
00:28:27,040 --> 00:28:30,159
Speaker 4: the one hand, you don't have him in the general election.

503
00:28:30,400 --> 00:28:32,840
Speaker 4: If you're a Democrat, you maybe you'd want him there.

504
00:28:33,400 --> 00:28:36,720
Speaker 4: But also like I am of the mind that you

505
00:28:37,359 --> 00:28:40,000
Speaker 4: get the best the bad people out whenever you can.

506
00:28:40,360 --> 00:28:42,640
Speaker 4: Don't get put it up to a coin flip, or

507
00:28:42,680 --> 00:28:45,040
Speaker 4: there'll be a scandal or something battle happen this state

508
00:28:45,120 --> 00:28:48,000
Speaker 4: that will sway the election. Get like, let's let's let's

509
00:28:48,000 --> 00:28:51,280
Speaker 4: do the laundry beforehand and just like hopefully put the

510
00:28:51,680 --> 00:28:53,280
Speaker 4: best people for it. If this is not from your

511
00:28:53,720 --> 00:28:54,840
Speaker 4: your own party.

512
00:28:54,840 --> 00:28:57,920
Speaker 1: It's funny because it's like we're both people have gone

513
00:28:57,920 --> 00:28:59,920
Speaker 1: to a lot of sea packs. So we both have

514
00:29:00,120 --> 00:29:04,360
Speaker 1: the same instinct, which is like bad candidates, get them

515
00:29:04,360 --> 00:29:06,240
Speaker 1: out before they can do more damage.

516
00:29:06,400 --> 00:29:09,520
Speaker 4: No, because it's you you'd never you never know, and

517
00:29:09,560 --> 00:29:12,080
Speaker 4: you don't know if they're like they're gonna say the

518
00:29:12,120 --> 00:29:14,240
Speaker 4: thing that's going to push them, Like you never know

519
00:29:14,320 --> 00:29:18,160
Speaker 4: what's gonna happen. Yeah, And it's like, what evidence do

520
00:29:18,200 --> 00:29:20,800
Speaker 4: you have of that Donald Trump in twenty sixty, Like

521
00:29:20,880 --> 00:29:24,560
Speaker 4: that's the evidence of it. It can get worse, and

522
00:29:24,720 --> 00:29:27,440
Speaker 4: it's good to just like know that some people are

523
00:29:27,480 --> 00:29:29,880
Speaker 4: at least sensible enough to not say we want this

524
00:29:29,960 --> 00:29:32,640
Speaker 4: pillow salesman to to be our governor.

525
00:29:32,960 --> 00:29:36,480
Speaker 1: Can you imagine if like Marco had been the nominee

526
00:29:36,600 --> 00:29:37,600
Speaker 1: or Jeb.

527
00:29:37,720 --> 00:29:38,160
Speaker 2: I don't know.

528
00:29:38,320 --> 00:29:40,440
Speaker 4: You know, it's funny. We were devrom and I were

529
00:29:40,480 --> 00:29:42,320
Speaker 4: talking about this the other day. We were talking about

530
00:29:42,360 --> 00:29:46,120
Speaker 4: like twenty twelve with Obama and Romney and like everyone

531
00:29:46,160 --> 00:29:48,680
Speaker 4: was so mad at Romney and you know, it's like

532
00:29:48,680 --> 00:29:51,040
Speaker 4: he's got the binders full of women, which was just

533
00:29:51,400 --> 00:29:53,560
Speaker 4: everyone was talking about. Is like he was just saying

534
00:29:53,560 --> 00:29:58,320
Speaker 4: I have binders full of like qualified women, like right, yeah, right,

535
00:29:58,600 --> 00:30:01,560
Speaker 4: And everyone's like, ah, now Donald Trump is literally like

536
00:30:02,480 --> 00:30:05,320
Speaker 4: putting his face on coins and and you know, has

537
00:30:05,440 --> 00:30:08,960
Speaker 4: like a whole secret police force like things could have been.

538
00:30:08,960 --> 00:30:11,400
Speaker 4: There's a different timeline out there, I guess, is my point.

539
00:30:11,400 --> 00:30:12,600
Speaker 4: There's a different timeline.

540
00:30:12,760 --> 00:30:16,840
Speaker 1: Yeah, no, it's true, and I also think it Yeah, no,

541
00:30:17,160 --> 00:30:20,200
Speaker 1: for sure. And so the my pillow guy did not win.

542
00:30:20,960 --> 00:30:23,800
Speaker 1: But and that is a good thing. And there does

543
00:30:23,840 --> 00:30:27,400
Speaker 1: seem to be even despite the fact that everything is insane,

544
00:30:27,760 --> 00:30:30,040
Speaker 1: it does seem to be. There's been a lot of

545
00:30:30,440 --> 00:30:33,440
Speaker 1: like I think of Andy Ogoles and Tennessee, like, there

546
00:30:33,520 --> 00:30:38,440
Speaker 1: have been candids who were genuinely nuts and who had

547
00:30:38,440 --> 00:30:40,800
Speaker 1: a Trump endorsement and who's still lost.

548
00:30:41,200 --> 00:30:44,760
Speaker 4: Yes, yes, And i'man sure these won't count in some

549
00:30:44,880 --> 00:30:47,440
Speaker 4: way in Donald Trump's math. He's still going to be

550
00:30:47,480 --> 00:30:50,960
Speaker 4: one hundred percent on his endorsements way in their primaries.

551
00:30:51,440 --> 00:30:55,080
Speaker 4: But it there you can kind of take you could

552
00:30:55,080 --> 00:30:57,160
Speaker 4: take that to heart a little bit, being like, Okay,

553
00:30:57,320 --> 00:31:02,200
Speaker 4: Donald Trump, he says that the Republican Party isn't popular,

554
00:31:02,320 --> 00:31:05,320
Speaker 4: and he's right about that, right he is. Also he

555
00:31:05,400 --> 00:31:08,760
Speaker 4: is also very very unpopular. And I think with the

556
00:31:08,800 --> 00:31:12,880
Speaker 4: gas prices and just the cost of living continuing to

557
00:31:12,880 --> 00:31:17,000
Speaker 4: be high, I think he's gonna he's gonna nothing. He's doing.

558
00:31:17,480 --> 00:31:19,280
Speaker 4: No path that he's on now is going to make

559
00:31:19,320 --> 00:31:22,800
Speaker 4: him more popular with people, because anything that was popular

560
00:31:22,840 --> 00:31:24,240
Speaker 4: is now unpopular. They's been doing.

561
00:31:24,640 --> 00:31:27,320
Speaker 1: You know, it's interesting because it's like, so the last

562
00:31:27,400 --> 00:31:29,920
Speaker 1: couple of weeks he's been just like, you know, the

563
00:31:30,000 --> 00:31:33,000
Speaker 1: vaccine thing. Vaccines are in eighty twenty issue, So he

564
00:31:33,000 --> 00:31:35,720
Speaker 1: did this vaccine thing. He's done a lot of like

565
00:31:35,800 --> 00:31:40,120
Speaker 1: shoring up the base stuff, right, another birth rate, citizenship

566
00:31:40,240 --> 00:31:45,520
Speaker 1: path pass. I wonder what is happening there, Like, is

567
00:31:45,560 --> 00:31:49,240
Speaker 1: he instinctively shoring up the base because he's done that

568
00:31:49,360 --> 00:31:53,120
Speaker 1: before and it's worked for him. Remember, like Maha did

569
00:31:53,200 --> 00:31:56,040
Speaker 1: get him female voters that he would not have otherwise gotten.

570
00:31:56,240 --> 00:31:58,760
Speaker 1: Do you think that's what it is or do you

571
00:31:58,960 --> 00:32:02,080
Speaker 1: think he has some master plan here?

572
00:32:02,680 --> 00:32:05,360
Speaker 4: I think he is an old dog and he's not

573
00:32:05,440 --> 00:32:08,800
Speaker 4: learning any new tricks because like he keeps going back

574
00:32:08,840 --> 00:32:11,880
Speaker 4: to like transgender for everyone, Like he keeps saying these

575
00:32:11,960 --> 00:32:14,959
Speaker 4: lines where like he's like, oh, this was the this

576
00:32:15,120 --> 00:32:18,400
Speaker 4: was the key in twenty twenty four, and I'm going

577
00:32:18,480 --> 00:32:20,760
Speaker 4: to keep doing this when people are like I just

578
00:32:20,800 --> 00:32:23,080
Speaker 4: want to be able to like afford a tank of gas, Like,

579
00:32:23,120 --> 00:32:25,280
Speaker 4: I want to be able to afford groceries and everything

580
00:32:25,360 --> 00:32:28,320
Speaker 4: costs so much more now, and you're saying that that's

581
00:32:28,440 --> 00:32:31,240
Speaker 4: you're gas lighting being and saying that that's not happening.

582
00:32:31,760 --> 00:32:34,040
Speaker 4: So I think he's just going back and playing the hits,

583
00:32:34,080 --> 00:32:37,480
Speaker 4: which was like, it's not like he had new stuff

584
00:32:37,600 --> 00:32:42,400
Speaker 4: really in twenty twenty four. Besides that, they them ads

585
00:32:42,440 --> 00:32:45,080
Speaker 4: and it like it was all the same thing, except

586
00:32:45,120 --> 00:32:48,240
Speaker 4: for he was running on affordability and things did cost

587
00:32:48,280 --> 00:32:51,560
Speaker 4: more and gas was up, like so it it you

588
00:32:51,600 --> 00:32:53,920
Speaker 4: can't run on that when you're when you're in power

589
00:32:54,000 --> 00:32:57,440
Speaker 4: and because of a war that you decided to get into,

590
00:32:58,000 --> 00:33:00,240
Speaker 4: gas prices are higher now, like it just it just

591
00:33:00,280 --> 00:33:02,960
Speaker 4: doesn't work. Now, I don't. I'm and I'm but I'm

592
00:33:03,000 --> 00:33:07,160
Speaker 4: also not. I'm optimistic for the midterms, but there's a

593
00:33:07,200 --> 00:33:09,760
Speaker 4: lot of time. You never know what's going to happen,

594
00:33:10,120 --> 00:33:11,400
Speaker 4: what new issue is going to come up.

595
00:33:11,520 --> 00:33:15,680
Speaker 1: So you were just in Michigan at a Trump rally.

596
00:33:16,400 --> 00:33:18,880
Speaker 1: Talk us through. So you are on the ground talking

597
00:33:18,880 --> 00:33:22,880
Speaker 1: to people in a swing state. Now they're not swing voters,

598
00:33:22,920 --> 00:33:27,560
Speaker 1: they're Trumpers, but talk us through. What the vibes are like,

599
00:33:27,640 --> 00:33:30,840
Speaker 1: are they full I mean, they're still no. The thing

600
00:33:30,880 --> 00:33:33,600
Speaker 1: you always tell me, which always makes me upset, is

601
00:33:33,640 --> 00:33:35,960
Speaker 1: that they're never because I always want I always think

602
00:33:35,960 --> 00:33:38,040
Speaker 1: that you can just explain it to them and they'll

603
00:33:38,080 --> 00:33:41,040
Speaker 1: be like, oh, you're right, but that never happened. But

604
00:33:41,120 --> 00:33:43,520
Speaker 1: talk us through what happened at this rally.

605
00:33:43,960 --> 00:33:47,480
Speaker 4: Well, A great example of what you were just describing

606
00:33:47,600 --> 00:33:50,680
Speaker 4: is I talked to a guy at the Michigan rally

607
00:33:50,960 --> 00:33:54,520
Speaker 4: who said that he did not have health insurance, and

608
00:33:54,560 --> 00:33:56,840
Speaker 4: I asked him, would you want the government to provide

609
00:33:56,960 --> 00:33:59,440
Speaker 4: free healthcare for everyone? And he said no, no, I

610
00:34:00,320 --> 00:34:03,120
Speaker 4: I would rather pay for it. I don't think we

611
00:34:03,160 --> 00:34:07,720
Speaker 4: should be And later in the conversation I asked him,

612
00:34:07,840 --> 00:34:10,160
Speaker 4: I said, what about billionaire Should billionaires be paying for

613
00:34:11,120 --> 00:34:14,680
Speaker 4: Should billionaires be paying more taxes so we could have

614
00:34:14,719 --> 00:34:18,360
Speaker 4: more services everyday Americans, because that it's so much money

615
00:34:18,360 --> 00:34:20,760
Speaker 4: that they're taking in and they're hiding it in certain

616
00:34:20,760 --> 00:34:24,560
Speaker 4: ways and not paying the same percentage of taxes as

617
00:34:24,600 --> 00:34:27,799
Speaker 4: you or I. And he got so offended by that.

618
00:34:28,200 --> 00:34:31,400
Speaker 4: He was offended and started defending billionaires. He was like

619
00:34:31,880 --> 00:34:34,480
Speaker 4: no elon Musk. He earned his money, He earned his

620
00:34:34,560 --> 00:34:38,399
Speaker 4: trillion dollars. He shouldn't be paying more taxes and it's

621
00:34:38,400 --> 00:34:42,399
Speaker 4: not their responsibility for us to have healthcare like they

622
00:34:42,480 --> 00:34:45,480
Speaker 4: are successful. It was almost like he was holding on

623
00:34:45,520 --> 00:34:48,960
Speaker 4: to this idea of the American dream and being like,

624
00:34:49,120 --> 00:34:52,399
Speaker 4: this exists for this one person. So the American dream

625
00:34:52,600 --> 00:34:54,960
Speaker 4: is alive, even though it's not alive for me. It's

626
00:34:54,960 --> 00:34:57,720
Speaker 4: not alive for anyone in my life, and I'm one

627
00:34:58,160 --> 00:35:01,680
Speaker 4: trip to the hospital from comp leet financial ruin. The

628
00:35:01,760 --> 00:35:04,080
Speaker 4: idea of it is more important, and what you were

629
00:35:04,080 --> 00:35:07,719
Speaker 4: saying about people, if you explain it to them, then

630
00:35:07,800 --> 00:35:10,680
Speaker 4: maybe like a door will open in their mind. It's

631
00:35:10,719 --> 00:35:13,719
Speaker 4: almost like the opposite where you explain it and you

632
00:35:13,760 --> 00:35:17,839
Speaker 4: put facts out and there's a faith you have in

633
00:35:17,920 --> 00:35:21,920
Speaker 4: like either like trump Ism, the Maga belief, or just

634
00:35:21,960 --> 00:35:24,799
Speaker 4: the American dream itself. You have faith in that, and

635
00:35:24,800 --> 00:35:28,040
Speaker 4: you're like, if I were to accept this, then that

636
00:35:28,080 --> 00:35:30,759
Speaker 4: would mean this is not true. And this is so important,

637
00:35:31,200 --> 00:35:34,000
Speaker 4: is such an important part of my identity, the American

638
00:35:34,080 --> 00:35:36,840
Speaker 4: dream that we're in the greatest country on earth, that

639
00:35:37,000 --> 00:35:38,960
Speaker 4: if I let go of that, then it's like almost

640
00:35:39,000 --> 00:35:42,000
Speaker 4: like letting go of a faith in like letting go

641
00:35:42,080 --> 00:35:45,520
Speaker 4: of religion, because it's so like ingrained in them. So

642
00:35:45,560 --> 00:35:47,520
Speaker 4: it's it's not as easy as just saying the facts.

643
00:35:47,719 --> 00:35:52,560
Speaker 4: And it's disheartening sometimes because you think if you just

644
00:35:52,680 --> 00:35:55,719
Speaker 4: say this, you say the right word, the right combination

645
00:35:55,800 --> 00:35:58,279
Speaker 4: of sentences, and you have the facts to back it up,

646
00:35:58,719 --> 00:36:01,160
Speaker 4: you'll change minds. But it doesn't always work that way,

647
00:36:01,360 --> 00:36:04,040
Speaker 4: which is it's sad, to be honest. I mean, it's sad,

648
00:36:04,040 --> 00:36:05,400
Speaker 4: there's no other way to put it.

649
00:36:05,400 --> 00:36:08,880
Speaker 1: It is. But it's also it's interesting because I watched

650
00:36:08,920 --> 00:36:11,640
Speaker 1: that video that guy you put out that video, and

651
00:36:11,920 --> 00:36:17,040
Speaker 1: he's like he's so baked into his belief right, yeah,

652
00:36:17,040 --> 00:36:20,040
Speaker 1: and and I just thought it was it's interesting because

653
00:36:20,040 --> 00:36:24,080
Speaker 1: Michigan is a state that's really been hit by the

654
00:36:24,960 --> 00:36:30,040
Speaker 1: like you know, manufacturing leaving, and then it has this

655
00:36:30,480 --> 00:36:34,040
Speaker 1: interesting point of like this is a state where manufacturing

656
00:36:34,080 --> 00:36:37,920
Speaker 1: does not come back. So but tariffs have really affected

657
00:36:37,960 --> 00:36:41,279
Speaker 1: the state. So do you get anywhere with that? Like

658
00:36:41,400 --> 00:36:45,160
Speaker 1: do they understand that? And also more importantly, like they

659
00:36:45,200 --> 00:36:47,919
Speaker 1: clearly see things that are more expensive, how do they

660
00:36:48,840 --> 00:36:49,640
Speaker 1: thread that needle?

661
00:36:50,040 --> 00:36:53,360
Speaker 4: It's I mean, it's hard because you you've got you

662
00:36:53,440 --> 00:36:55,600
Speaker 4: have to hold two things at the same time. You're

663
00:36:55,640 --> 00:36:58,080
Speaker 4: like you've got your trump hat on and you're at

664
00:36:58,080 --> 00:37:00,239
Speaker 4: a Trump rally and you like Donald Trump, and you

665
00:37:00,239 --> 00:37:02,000
Speaker 4: think he's like he tells it like it is, and

666
00:37:02,040 --> 00:37:03,919
Speaker 4: all the same stuff that we've been hearing for years

667
00:37:03,920 --> 00:37:06,200
Speaker 4: why people have been drawn to Donald Trump. And then

668
00:37:06,560 --> 00:37:10,799
Speaker 4: something like the war happens and gas prices go up,

669
00:37:10,880 --> 00:37:14,759
Speaker 4: and you can't say it's not a result of something

670
00:37:14,800 --> 00:37:16,160
Speaker 4: that Donald Trump's done, right.

671
00:37:16,040 --> 00:37:19,000
Speaker 1: Because it's so clearly like he went to war, the

672
00:37:19,040 --> 00:37:21,680
Speaker 1: prices went up like a week three days later, or

673
00:37:21,719 --> 00:37:22,640
Speaker 1: they closed the straits.

674
00:37:23,239 --> 00:37:25,840
Speaker 4: I talked to a guy there and about that, and

675
00:37:25,840 --> 00:37:27,840
Speaker 4: he was like, I don't want the high gas prices.

676
00:37:28,320 --> 00:37:29,680
Speaker 4: And I was like, do you blame Trump for this,

677
00:37:29,760 --> 00:37:31,759
Speaker 4: for the war, And he was like, no, I think

678
00:37:31,760 --> 00:37:33,480
Speaker 4: it's the Democrat. I think it's the democrats. I was

679
00:37:33,600 --> 00:37:36,000
Speaker 4: to blame for the high gas prices, and I was

680
00:37:36,120 --> 00:37:38,160
Speaker 4: I just you know, I tried to talk it through.

681
00:37:38,560 --> 00:37:41,400
Speaker 4: And then if you say a few of these facts,

682
00:37:41,480 --> 00:37:44,520
Speaker 4: like well, Democrats don't control anyhouse for Congress, Donald Trump

683
00:37:44,560 --> 00:37:47,040
Speaker 4: is the president and he is the one who like

684
00:37:47,120 --> 00:37:50,160
Speaker 4: brought us to this war, and the strait is closed

685
00:37:50,280 --> 00:37:53,759
Speaker 4: or was closed for for this reason, and he then

686
00:37:53,960 --> 00:37:56,399
Speaker 4: the immediate reaction is like oh, you're a liberal. It's

687
00:37:56,440 --> 00:38:00,120
Speaker 4: the liberal media. Like there's no there's no talking facts

688
00:38:00,640 --> 00:38:03,600
Speaker 4: into this discussion where it's like if somebody, if somebody

689
00:38:03,680 --> 00:38:06,120
Speaker 4: challenges your viewpoint, then you're not on the same team.

690
00:38:06,560 --> 00:38:08,560
Speaker 4: And the liberals do this too, like if there's a

691
00:38:08,600 --> 00:38:11,160
Speaker 4: if somebody challenges some viewpoint, you're like, oh, you're on

692
00:38:11,239 --> 00:38:14,320
Speaker 4: the other side, and blah blah blah. But with with

693
00:38:14,320 --> 00:38:16,120
Speaker 4: with this guy, I was like, this is it's so

694
00:38:16,719 --> 00:38:19,840
Speaker 4: it's so odd that you know it to be true.

695
00:38:20,080 --> 00:38:23,040
Speaker 4: You can say that Trump did this, but if there's

696
00:38:23,040 --> 00:38:27,160
Speaker 4: something in your being that won't allow you to admit

697
00:38:27,320 --> 00:38:29,759
Speaker 4: that that's the reason why things are higher, like that

698
00:38:29,920 --> 00:38:31,919
Speaker 4: is like a betrayal of your your faith. To bring

699
00:38:31,920 --> 00:38:33,560
Speaker 4: it back to that, like it's a betrayal of what

700
00:38:33,600 --> 00:38:41,000
Speaker 4: you've made as part of your identity. Sorry. Sorry. There's

701
00:38:41,000 --> 00:38:44,759
Speaker 4: also somebody selling Maga water there that was just Maga water.

702
00:38:45,400 --> 00:38:48,840
Speaker 4: It is Maga water, and their tagline was Taste the

703
00:38:48,920 --> 00:38:52,360
Speaker 4: Pure Difference. And I was like, does that sound like

704
00:38:52,440 --> 00:38:56,319
Speaker 4: a little bit like David Duke, did you do you

705
00:38:56,480 --> 00:38:59,160
Speaker 4: understand that? And they were like, that's the problem with

706
00:38:59,239 --> 00:39:01,359
Speaker 4: you all. I would have never thought that, And then

707
00:39:01,400 --> 00:39:03,880
Speaker 4: they went on to say like, it's just for people

708
00:39:03,880 --> 00:39:06,759
Speaker 4: who think Americas, for people who like will come here

709
00:39:06,800 --> 00:39:10,960
Speaker 4: and assimilate, like literally, like said like a David Duke is.

710
00:39:11,480 --> 00:39:13,200
Speaker 4: And I was like, oh, so keep it pure, so

711
00:39:13,320 --> 00:39:16,280
Speaker 4: keep it pure. And then she's like, exactly, that's exactly Okay.

712
00:39:16,280 --> 00:39:17,799
Speaker 4: It was like, all right, so it is the thing

713
00:39:17,840 --> 00:39:18,960
Speaker 4: that we said. It was great.

714
00:39:19,320 --> 00:39:23,240
Speaker 1: Let the record show that we laugh to keep from crying,

715
00:39:23,680 --> 00:39:26,879
Speaker 1: not because any of this is funny, mostly because it's

716
00:39:26,920 --> 00:39:27,800
Speaker 1: so tragic.

717
00:39:28,239 --> 00:39:31,239
Speaker 4: No, it is so tragic. It's so tragic. And yeah,

718
00:39:31,360 --> 00:39:32,840
Speaker 4: and we've lived in it and we're living it and

719
00:39:32,840 --> 00:39:35,880
Speaker 4: I'm living it. So yes, it is. It's a real deal,

720
00:39:36,000 --> 00:39:41,640
Speaker 4: isn't it where we fess ourselves. Yes, it's a bad deal, folks. Yeah, Jason,

721
00:39:42,120 --> 00:39:44,440
Speaker 4: will you come back always? Always?

722
00:39:44,640 --> 00:39:45,279
Speaker 3: Okay? Good.

723
00:39:46,600 --> 00:39:51,080
Speaker 1: Alyssa Ellman is a veteran and the Democratic nominee for

724
00:39:51,160 --> 00:39:56,919
Speaker 1: Congress in New York's twenty fourth congressional district. Welcome, Welcome, Alyssa, Hi,

725
00:39:57,040 --> 00:39:59,440
Speaker 1: thanks for having me on. So you are running for

726
00:39:59,480 --> 00:40:04,799
Speaker 1: the Claudia Tenny seat in New York's twenty fourth district. Right,

727
00:40:05,000 --> 00:40:09,120
Speaker 1: twenty fourth, Yeah, and so tell us why this is

728
00:40:09,160 --> 00:40:11,960
Speaker 1: his seat that we should be paying attention to.

729
00:40:12,360 --> 00:40:16,239
Speaker 5: Well, you know it is there is a massive registration

730
00:40:16,360 --> 00:40:18,800
Speaker 5: deficit in favor of Republicans in this district.

731
00:40:19,000 --> 00:40:21,799
Speaker 3: Like that's just facts, right.

732
00:40:22,080 --> 00:40:25,080
Speaker 5: But sometimes we need to pay attention to the actual

733
00:40:25,160 --> 00:40:27,280
Speaker 5: representatives that are.

734
00:40:27,440 --> 00:40:28,640
Speaker 3: Some of the worst and the worst.

735
00:40:29,120 --> 00:40:32,440
Speaker 5: Yes, And you know, I just think that Claudia Tenny

736
00:40:32,840 --> 00:40:35,600
Speaker 5: has gotten into this position. She was in Central New

737
00:40:35,680 --> 00:40:38,719
Speaker 5: York I believe it was the twenty first district at

738
00:40:38,719 --> 00:40:42,000
Speaker 5: that time, and she won a congressional seat there. When

739
00:40:42,040 --> 00:40:45,600
Speaker 5: she lost it, she moved to our district to run here.

740
00:40:46,280 --> 00:40:48,359
Speaker 5: And it just doesn't seem right to me. I mean,

741
00:40:48,400 --> 00:40:51,360
Speaker 5: the median income in my region's like forty one thousand

742
00:40:51,400 --> 00:40:55,720
Speaker 5: dollars a year. Yeah, we have this rich lady who's

743
00:40:55,760 --> 00:41:00,919
Speaker 5: got big connections representing us and she has never introduced

744
00:41:01,440 --> 00:41:04,640
Speaker 5: a bill to Congress the past nothing.

745
00:41:05,040 --> 00:41:09,680
Speaker 1: And you're what's interesting to me about your looking at

746
00:41:09,680 --> 00:41:13,920
Speaker 1: the jerrymander that is your seat and it's basically like

747
00:41:14,200 --> 00:41:19,120
Speaker 1: it's so jerrymandered. It's the area that surrounds Rochester but

748
00:41:19,360 --> 00:41:22,760
Speaker 1: not Rochester. There's a reason for that, right.

749
00:41:23,080 --> 00:41:26,440
Speaker 3: Sure, I mean it is a way, it is very jerrymandered.

750
00:41:26,680 --> 00:41:30,480
Speaker 5: It is extremely errymandered, but also there's a lot of Democrats,

751
00:41:30,520 --> 00:41:32,480
Speaker 5: and it's it's a difficult region for a bunch of

752
00:41:32,520 --> 00:41:33,440
Speaker 5: different reasons.

753
00:41:33,520 --> 00:41:37,480
Speaker 3: But it's really sprawled out, so it's very rural.

754
00:41:38,040 --> 00:41:42,280
Speaker 5: So door knocking and doing traditional canvassing is is pretty

755
00:41:42,280 --> 00:41:45,520
Speaker 5: difficult in this region, especially because New York has a

756
00:41:45,520 --> 00:41:49,759
Speaker 5: petition process, and you know, you're asking people in democratic committees,

757
00:41:49,880 --> 00:41:55,040
Speaker 5: oftentimes little retired ladies to go out and canvas, you know,

758
00:41:55,200 --> 00:41:59,839
Speaker 5: like to get petition signatures in February March roll around

759
00:41:59,880 --> 00:42:01,720
Speaker 5: here where there's three feet of snow on the ground.

760
00:42:02,080 --> 00:42:04,760
Speaker 3: But we did it, and we were able to get

761
00:42:04,880 --> 00:42:06,600
Speaker 3: five four hundred signatures.

762
00:42:06,600 --> 00:42:09,920
Speaker 5: We only needed twelve one two hundred and fifty, and

763
00:42:10,080 --> 00:42:12,959
Speaker 5: so people are enthusiastic to get out in both this year.

764
00:42:13,560 --> 00:42:18,160
Speaker 1: So this isn't R plus eleven, but in with a

765
00:42:18,239 --> 00:42:22,759
Speaker 1: generic that's R plus ten or even our I mean,

766
00:42:22,840 --> 00:42:24,960
Speaker 1: which is D plus ten or I've even seen D

767
00:42:25,040 --> 00:42:28,360
Speaker 1: plus eleven. There's a plausibility that you eake this out.

768
00:42:28,400 --> 00:42:29,600
Speaker 1: So tell us how you do it.

769
00:42:30,080 --> 00:42:33,240
Speaker 5: Well, you know, I've looked at different successful races across

770
00:42:33,239 --> 00:42:37,120
Speaker 5: the region, and I really abdulah Sides race. He was

771
00:42:37,160 --> 00:42:42,200
Speaker 5: out spent seventeen to one, and he, you know, ran

772
00:42:42,280 --> 00:42:45,720
Speaker 5: a grassroots campaign with a really strong field program, meaning

773
00:42:45,840 --> 00:42:51,239
Speaker 5: door knocking, phone calls, getting volunteers out. And you know,

774
00:42:51,360 --> 00:42:54,640
Speaker 5: that's our plan. We're going to be push and push

775
00:42:54,680 --> 00:42:57,520
Speaker 5: and pushing for volunteers. We want to get together, we

776
00:42:57,600 --> 00:43:01,160
Speaker 5: want to get out and knock doors and make it fun.

777
00:43:01,560 --> 00:43:04,080
Speaker 1: So one of the things when we look at these

778
00:43:05,000 --> 00:43:11,520
Speaker 1: insurgent campaigns is they tend to have really good volunteer outreach.

779
00:43:11,920 --> 00:43:13,319
Speaker 1: How do you do that?

780
00:43:13,920 --> 00:43:15,600
Speaker 3: You do it a bunch of different ways.

781
00:43:15,840 --> 00:43:20,319
Speaker 5: We have a sign up on our website, elmanfocongress dot com.

782
00:43:20,320 --> 00:43:22,000
Speaker 5: You can sign up to volunteer if you live in

783
00:43:22,000 --> 00:43:24,319
Speaker 5: the area. I have a lot of personal connection to

784
00:43:24,480 --> 00:43:27,120
Speaker 5: this area. I grew up in rural New York, about

785
00:43:27,200 --> 00:43:29,520
Speaker 5: an hour and a half south of where I live now,

786
00:43:29,920 --> 00:43:33,560
Speaker 5: but I've lived here for eighteen years and I used

787
00:43:33,600 --> 00:43:35,840
Speaker 5: to teach school here, so I have a lot of

788
00:43:35,840 --> 00:43:37,120
Speaker 5: connections in the community.

789
00:43:37,200 --> 00:43:39,279
Speaker 3: I know a lot of people, and I.

790
00:43:39,239 --> 00:43:41,719
Speaker 5: Have a large political action group here in Lockport, and

791
00:43:41,760 --> 00:43:44,480
Speaker 5: everybody in that action group has signed up to volunteer.

792
00:43:45,000 --> 00:43:47,759
Speaker 3: But we volunteers from across the region, and we're also

793
00:43:48,400 --> 00:43:51,600
Speaker 3: reaching out to Indivisible, which is pretty strong out here

794
00:43:51,680 --> 00:43:54,680
Speaker 3: and encompasses a lot of independents who maybe are not.

795
00:43:54,680 --> 00:43:58,319
Speaker 5: Satisfied with the Democratic Party. We are asking for their

796
00:43:58,320 --> 00:44:01,000
Speaker 5: help too. We would love for them to to help

797
00:44:01,080 --> 00:44:04,879
Speaker 5: us get sign ups for volunteers and host trainings for us.

798
00:44:05,280 --> 00:44:07,719
Speaker 5: And so that's that's not a plan.

799
00:44:08,120 --> 00:44:11,880
Speaker 1: Tell us how your how you started your group and

800
00:44:11,920 --> 00:44:13,160
Speaker 1: when you started your group.

801
00:44:13,640 --> 00:44:15,640
Speaker 3: Well, I don't know if you know my story, but

802
00:44:15,880 --> 00:44:16,320
Speaker 3: I tell.

803
00:44:16,239 --> 00:44:16,880
Speaker 4: Us your story.

804
00:44:17,239 --> 00:44:19,360
Speaker 5: Well, when I was seventeen, you know, I grew up

805
00:44:19,360 --> 00:44:21,720
Speaker 5: in poverty in the southern tier here in the middle

806
00:44:21,719 --> 00:44:24,399
Speaker 5: of nowhere, in a county called Allegheny County has very

807
00:44:24,400 --> 00:44:26,160
Speaker 5: little industry, very little jobs.

808
00:44:26,360 --> 00:44:28,960
Speaker 3: And I was an ambitious teenager. So I joined the

809
00:44:29,040 --> 00:44:29,759
Speaker 3: Army so that.

810
00:44:29,760 --> 00:44:32,360
Speaker 5: I could have like get a car, go to college,

811
00:44:32,560 --> 00:44:34,960
Speaker 5: move out of my parents' house right away. As the

812
00:44:35,000 --> 00:44:37,880
Speaker 5: youngest of six kids, so my parents were kind of

813
00:44:37,920 --> 00:44:40,480
Speaker 5: done around those teenage years.

814
00:44:40,719 --> 00:44:43,080
Speaker 3: But I joined the Army.

815
00:44:43,120 --> 00:44:45,720
Speaker 5: I came back from basic training in September eleventh happened,

816
00:44:46,239 --> 00:44:48,319
Speaker 5: and so what I thought was going to be like

817
00:44:48,360 --> 00:44:50,359
Speaker 5: my ticket out was my ticket out.

818
00:44:50,560 --> 00:44:54,279
Speaker 3: But I also, you know, was able to travel. I

819
00:44:54,320 --> 00:44:55,239
Speaker 3: went to Afghanistan.

820
00:44:55,280 --> 00:44:59,239
Speaker 5: I did a deployment. By my nineteenth birthday, I came back.

821
00:44:59,280 --> 00:45:02,239
Speaker 5: I joined the nat Guard here in New York, and

822
00:45:02,400 --> 00:45:04,920
Speaker 5: I worked very briefly for New York State Department and

823
00:45:04,960 --> 00:45:08,440
Speaker 5: Military Naval Affairs, and then took a contracting job back

824
00:45:08,480 --> 00:45:12,960
Speaker 5: at Afghanastan, where I did airfield management and logistics. I

825
00:45:13,000 --> 00:45:15,400
Speaker 5: got a little older. I got around twenty five. I

826
00:45:15,400 --> 00:45:18,120
Speaker 5: think my biological clock was taken a little bit and

827
00:45:18,520 --> 00:45:20,040
Speaker 5: to soolk up. One day, I was like, I don't

828
00:45:20,040 --> 00:45:22,200
Speaker 5: want to do this anymore. I want to be a

829
00:45:22,239 --> 00:45:24,799
Speaker 5: wife and a mom, and I think I'm going to

830
00:45:24,800 --> 00:45:27,080
Speaker 5: go to school to be a teacher. So I came

831
00:45:27,120 --> 00:45:29,440
Speaker 5: back to New York and I did all those things.

832
00:45:29,520 --> 00:45:32,160
Speaker 5: I am met my husband, I got married, I had

833
00:45:32,160 --> 00:45:35,400
Speaker 5: two daughters, and I put myself through school for special

834
00:45:35,520 --> 00:45:39,799
Speaker 5: ed and about seven years into teaching, I got really,

835
00:45:39,800 --> 00:45:40,320
Speaker 5: really sick.

836
00:45:40,520 --> 00:45:43,520
Speaker 3: I found out later that I had a rare form

837
00:45:43,560 --> 00:45:45,800
Speaker 3: of cancer called THEO fromo zytoma.

838
00:45:46,200 --> 00:45:47,680
Speaker 1: It's like in Afghanistan.

839
00:45:48,120 --> 00:45:53,320
Speaker 5: Yeah, I mean, all endocrine cancers are considered presumptive cancers,

840
00:45:53,560 --> 00:45:56,680
Speaker 5: so it's presumed that your exposure now Pianto san.

841
00:45:57,160 --> 00:46:00,880
Speaker 3: Has probably contributed more than likely.

842
00:46:00,719 --> 00:46:04,480
Speaker 5: To you getting cancer so yes, But I went through

843
00:46:04,520 --> 00:46:06,919
Speaker 5: treatment for it, and I was thirty eight years old

844
00:46:06,960 --> 00:46:09,399
Speaker 5: and had a job my whole life, and I thought, man,

845
00:46:09,400 --> 00:46:10,600
Speaker 5: I need to go back to work.

846
00:46:11,120 --> 00:46:14,319
Speaker 3: So I applied for the VA Education.

847
00:46:14,120 --> 00:46:17,279
Speaker 5: Department, where I got trained for about seven or eight

848
00:46:17,320 --> 00:46:20,719
Speaker 5: months and then started doing my job and I got

849
00:46:20,840 --> 00:46:23,440
Speaker 5: doged in the first way of the layoffs, and that

850
00:46:23,600 --> 00:46:26,279
Speaker 5: really lit a fire under my bot. I was mad

851
00:46:26,320 --> 00:46:29,600
Speaker 5: about it. The way that they talk about DEI hires

852
00:46:29,760 --> 00:46:32,720
Speaker 5: is it's just un American. A lot of the people

853
00:46:32,719 --> 00:46:36,000
Speaker 5: that I worked with were people who had traumatic brain injuries,

854
00:46:36,600 --> 00:46:39,560
Speaker 5: people who had long lasting effects of the only the war,

855
00:46:40,040 --> 00:46:43,919
Speaker 5: and those are DEI hires. Disabled veterans are DEI higher

856
00:46:44,000 --> 00:46:47,920
Speaker 5: so like, it's just kind of garbage propag And when

857
00:46:47,960 --> 00:46:51,520
Speaker 5: I got fired, I got my union rep told Chuck

858
00:46:51,560 --> 00:46:54,160
Speaker 5: Schumer about it, and I guess Chuck Schumer invited me

859
00:46:54,200 --> 00:46:55,800
Speaker 5: to be his guest to the State of the Union,

860
00:46:56,280 --> 00:46:58,560
Speaker 5: and I decided to do that because I wanted to

861
00:46:58,600 --> 00:47:01,600
Speaker 5: be able to represent the federal workers that I had

862
00:47:02,080 --> 00:47:05,880
Speaker 5: worked with every day and saw were hard working people

863
00:47:05,960 --> 00:47:08,520
Speaker 5: that were doing their jobs. The way I came back

864
00:47:08,560 --> 00:47:10,640
Speaker 5: from that, I came back to a little old Blockport.

865
00:47:10,680 --> 00:47:14,000
Speaker 5: I lived in a small city, and I went and

866
00:47:14,040 --> 00:47:16,400
Speaker 5: gave a speech at a city committee.

867
00:47:16,000 --> 00:47:17,680
Speaker 1: Meeting and the.

868
00:47:19,160 --> 00:47:20,760
Speaker 3: Chair and a man.

869
00:47:20,640 --> 00:47:23,239
Speaker 5: I didn't know approached me afteroids and asked me if

870
00:47:23,280 --> 00:47:25,360
Speaker 5: I'd ever thought about running for Congress.

871
00:47:25,760 --> 00:47:30,080
Speaker 3: And I was kind of like me, uh, I have nobody,

872
00:47:30,120 --> 00:47:33,680
Speaker 3: you know what I mean, I just want to chuck jest.

873
00:47:33,800 --> 00:47:37,440
Speaker 5: I don't think that like unnecessarily, you know, translates to

874
00:47:37,560 --> 00:47:38,600
Speaker 5: running for office.

875
00:47:38,760 --> 00:47:40,759
Speaker 3: Like initially, that's how I felt about it.

876
00:47:41,160 --> 00:47:45,120
Speaker 5: But then a very experienced campaign manager approached me and

877
00:47:45,800 --> 00:47:48,400
Speaker 5: gave me like a forty page plan he'd been writing

878
00:47:48,400 --> 00:47:51,720
Speaker 5: for two years on how to flit this very rural,

879
00:47:52,480 --> 00:47:53,360
Speaker 5: very red district.

880
00:47:53,800 --> 00:47:57,040
Speaker 3: And so I decided to do it. I decided to

881
00:47:57,080 --> 00:47:57,399
Speaker 3: do it.

882
00:47:57,480 --> 00:47:59,480
Speaker 5: And as a part of that, I created a political

883
00:47:59,520 --> 00:48:02,000
Speaker 5: action group here in Lockport that has about three hundred

884
00:48:02,040 --> 00:48:05,640
Speaker 5: and fifty people in it, and they're all wonderful human beings.

885
00:48:05,760 --> 00:48:08,560
Speaker 5: They've really supported a lot of what I've done, you know,

886
00:48:08,680 --> 00:48:13,279
Speaker 5: over the last year, helped me with every event, helped me, you.

887
00:48:13,200 --> 00:48:17,680
Speaker 1: Know, like it's an amazing that's a really great story.

888
00:48:17,760 --> 00:48:20,399
Speaker 1: I mean, I have to say, explain to me what

889
00:48:20,440 --> 00:48:23,359
Speaker 1: you did that you got laid off by DOGE and

890
00:48:23,520 --> 00:48:27,560
Speaker 1: sort of what happened to the infrastructure that you were

891
00:48:27,600 --> 00:48:30,440
Speaker 1: a part of and what it did and what happened

892
00:48:30,480 --> 00:48:31,920
Speaker 1: and what was replaced by.

893
00:48:32,360 --> 00:48:35,880
Speaker 5: So just to be clear, my job was to process

894
00:48:36,080 --> 00:48:40,640
Speaker 5: educational claims from veterans and their dependents. So there are

895
00:48:40,680 --> 00:48:44,680
Speaker 5: many different chapters that can qualify you to get educational metefods.

896
00:48:44,680 --> 00:48:47,200
Speaker 5: I'm sure you've heard of chapter thirty, in chapter thirty one,

897
00:48:47,280 --> 00:48:49,520
Speaker 5: in chapter thirty five, and chapter thirty there is a

898
00:48:49,560 --> 00:48:53,080
Speaker 5: specialized format for how to process each one of those claims.

899
00:48:53,080 --> 00:48:55,759
Speaker 5: We put together digital files and send them off to

900
00:48:55,760 --> 00:49:00,600
Speaker 5: be adjudicated. So those files are just just is made

901
00:49:00,640 --> 00:49:03,759
Speaker 5: based on the person's federal record, based on the application.

902
00:49:04,480 --> 00:49:07,000
Speaker 3: Some of that can be digitized. So let me tell you,

903
00:49:07,160 --> 00:49:10,640
Speaker 3: Like you know, I'm a Democrat. I've been a Democrat

904
00:49:10,640 --> 00:49:13,719
Speaker 3: my whole life. But when Donald.

905
00:49:13,440 --> 00:49:15,919
Speaker 5: Trump first took office and Elon Musk was talking about

906
00:49:15,920 --> 00:49:18,719
Speaker 5: revamping the government, I thought, you know, there are definitely

907
00:49:18,760 --> 00:49:20,279
Speaker 5: parts that can be improved.

908
00:49:20,400 --> 00:49:23,680
Speaker 3: Right. We use an ancient system at the.

909
00:49:23,680 --> 00:49:27,319
Speaker 5: VA to pull federal records for veterans. So it's called

910
00:49:27,440 --> 00:49:31,279
Speaker 5: Burrel's inquiry and it is it was made in the

911
00:49:31,320 --> 00:49:34,160
Speaker 5: nineteen eighties. It's like a blue screen with white letters,

912
00:49:34,520 --> 00:49:37,640
Speaker 5: and you have to memorize a certain set of commands

913
00:49:37,640 --> 00:49:41,000
Speaker 5: in order to process those claims and pull info. So

914
00:49:41,080 --> 00:49:43,200
Speaker 5: it takes several months of training.

915
00:49:43,080 --> 00:49:45,840
Speaker 3: To be able to even perform these jobs.

916
00:49:45,840 --> 00:49:47,840
Speaker 5: And I was in a class with two other people

917
00:49:48,040 --> 00:49:49,800
Speaker 5: who stay in cubicles for a while.

918
00:49:49,880 --> 00:49:52,839
Speaker 3: But the VA physically, the VBA.

919
00:49:52,600 --> 00:49:55,560
Speaker 5: Does not have enough space for all of its employees,

920
00:49:56,040 --> 00:49:59,560
Speaker 5: so many of them work at home, and you can

921
00:49:59,560 --> 00:50:02,440
Speaker 5: apply to do that, so I applied to work from home.

922
00:50:02,760 --> 00:50:06,000
Speaker 5: My production the month prior to getting fired was two

923
00:50:06,080 --> 00:50:08,600
Speaker 5: hundred percent production with one hundred percent quality, and I

924
00:50:08,719 --> 00:50:12,080
Speaker 5: given up disability to go back to work for like

925
00:50:12,200 --> 00:50:14,480
Speaker 5: five hundred dollars more per month than I would get

926
00:50:14,480 --> 00:50:17,280
Speaker 5: for sitting home, which is you know, I was doing

927
00:50:17,360 --> 00:50:21,319
Speaker 5: it to be like mentally stimulated. And that's many of

928
00:50:21,360 --> 00:50:26,560
Speaker 5: the people there were veterans or spousands of veterans, and

929
00:50:27,239 --> 00:50:30,440
Speaker 5: they came there so that they could have the dignity

930
00:50:30,480 --> 00:50:31,200
Speaker 5: of employment.

931
00:50:31,600 --> 00:50:34,040
Speaker 3: If you're a disabled better and you're working for the VA,

932
00:50:34,120 --> 00:50:36,960
Speaker 3: there's a special caveat for you that, like you don't

933
00:50:37,000 --> 00:50:42,280
Speaker 3: get dinged for taking time to treat your service related disabilities.

934
00:50:41,960 --> 00:50:46,000
Speaker 1: Right, A lot of you had service related cancer, yes,

935
00:50:46,280 --> 00:50:46,799
Speaker 1: and so.

936
00:50:46,960 --> 00:50:50,160
Speaker 5: Like I have many appointments, which is why I couldn't

937
00:50:50,200 --> 00:50:52,000
Speaker 5: really go back to work as a teacher.

938
00:50:52,120 --> 00:50:53,600
Speaker 3: It made a lot more to go.

939
00:50:53,560 --> 00:50:56,440
Speaker 5: Work for the VA and federal employment, be able to

940
00:50:56,440 --> 00:51:00,160
Speaker 5: build up a retirement, learn a new skill and and

941
00:51:00,760 --> 00:51:02,680
Speaker 5: I really enjoyed working there. And I thought a lot

942
00:51:02,760 --> 00:51:05,200
Speaker 5: of the people that worked there were pretty hard workers.

943
00:51:05,600 --> 00:51:09,840
Speaker 3: So going into it, I was like moderately hopeful. I

944
00:51:09,880 --> 00:51:12,120
Speaker 3: thought Elon used to be a liberal.

945
00:51:12,600 --> 00:51:15,759
Speaker 5: Maybe you'll actually do something positive like bring in like

946
00:51:15,800 --> 00:51:19,640
Speaker 5: his computer systems and redo like the way the application

947
00:51:19,800 --> 00:51:21,680
Speaker 5: process works, and they'll have a plan.

948
00:51:22,440 --> 00:51:24,360
Speaker 3: But there's no plan when you come in.

949
00:51:24,440 --> 00:51:26,640
Speaker 5: And my boss did it how I had been fired

950
00:51:26,719 --> 00:51:29,160
Speaker 5: Like I was at work one day, I was working

951
00:51:29,200 --> 00:51:31,520
Speaker 5: from home. You have a special card that goes in

952
00:51:31,560 --> 00:51:35,279
Speaker 5: your federal computer, and my card stopped working. It was

953
00:51:35,560 --> 00:51:38,360
Speaker 5: the Wednesday after that Monday that they sent out the

954
00:51:38,400 --> 00:51:40,800
Speaker 5: five bullet points spotted.

955
00:51:40,440 --> 00:51:42,360
Speaker 3: Right away to that I had. The next day, I

956
00:51:42,400 --> 00:51:43,440
Speaker 3: had a doctor's appointment.

957
00:51:43,480 --> 00:51:47,840
Speaker 5: I came back in the afternoon, checked my email, nothing,

958
00:51:48,040 --> 00:51:50,920
Speaker 5: and the following morning my card just stopped working.

959
00:51:51,360 --> 00:51:54,359
Speaker 3: So call my boss. She didn't know I.

960
00:51:54,239 --> 00:51:56,680
Speaker 5: Had been fired, but there had been a group of us,

961
00:51:56,680 --> 00:51:58,680
Speaker 5: like all the people they had just paid to train

962
00:51:58,840 --> 00:52:01,400
Speaker 5: for seven months and am I kind of gutted it

963
00:52:01,440 --> 00:52:03,880
Speaker 5: with no plans. So what they did they offered all

964
00:52:03,880 --> 00:52:06,960
Speaker 5: the most experienced people money to leave, and then a

965
00:52:06,960 --> 00:52:09,720
Speaker 5: couple of weeks later they fired all of the new blood.

966
00:52:09,760 --> 00:52:11,600
Speaker 5: So you're left with all of this kind of like

967
00:52:12,200 --> 00:52:15,359
Speaker 5: middle management that's been there fifteen years. Is it sort

968
00:52:15,400 --> 00:52:17,600
Speaker 5: of burnt out? And that's not like a ding on them,

969
00:52:17,719 --> 00:52:20,720
Speaker 5: like people burn out. Yeah, but then they can point

970
00:52:20,760 --> 00:52:24,319
Speaker 5: to it and say, see it's not working. Yeah, it's

971
00:52:24,440 --> 00:52:27,839
Speaker 5: just this really shady way of trying to you know,

972
00:52:28,280 --> 00:52:32,680
Speaker 5: spread propaganda that somehow like the VA is scamming people.

973
00:52:33,120 --> 00:52:36,840
Speaker 5: There is such a multi step process anytime money moves

974
00:52:36,920 --> 00:52:41,080
Speaker 5: at the VA, like you are not just getting that magically.

975
00:52:41,239 --> 00:52:44,479
Speaker 5: The person who decided your claim is not the same

976
00:52:44,520 --> 00:52:49,200
Speaker 5: person who pays you. They have cross information, Like you

977
00:52:49,239 --> 00:52:52,600
Speaker 5: can't go look at someone's bank account information if.

978
00:52:52,480 --> 00:52:56,800
Speaker 3: You're the adjudicator. Right, Well, there's like a multi step

979
00:52:56,880 --> 00:52:57,680
Speaker 3: process there.

980
00:52:57,719 --> 00:53:01,520
Speaker 5: And you know, I went to Claudia Tenny's office with

981
00:53:01,560 --> 00:53:04,399
Speaker 5: my political action group before I had decided to run

982
00:53:04,440 --> 00:53:07,960
Speaker 5: for Congress, and we did a protest and I went

983
00:53:08,000 --> 00:53:11,480
Speaker 5: in and talked to her people that were representing her

984
00:53:11,520 --> 00:53:13,920
Speaker 5: at the office at the time, and we sat down

985
00:53:13,960 --> 00:53:16,680
Speaker 5: and there was like, there's this wonderful lady in my

986
00:53:16,800 --> 00:53:19,040
Speaker 5: action group. And she sat across from me and she

987
00:53:19,200 --> 00:53:22,600
Speaker 5: started talking and said, I've never really been that political before,

988
00:53:22,640 --> 00:53:27,719
Speaker 5: but my son has adult schizophrenia and he lives in

989
00:53:27,760 --> 00:53:30,920
Speaker 5: a group home. And I just, I'm seventy eight years old, Like,

990
00:53:31,040 --> 00:53:33,439
Speaker 5: I don't want to take in my forty year old son.

991
00:53:33,640 --> 00:53:37,719
Speaker 5: He's dangered and I'm wondering if like I just want

992
00:53:37,760 --> 00:53:39,360
Speaker 5: to know he's going to be safe. I want to

993
00:53:39,400 --> 00:53:41,120
Speaker 5: know the government's going to take care of him and

994
00:53:41,280 --> 00:53:44,359
Speaker 5: he's going to keep his insurance in all this. And

995
00:53:44,640 --> 00:53:47,879
Speaker 5: the guy didn't give her an answer, like wasn't reassuring,

996
00:53:48,480 --> 00:53:51,680
Speaker 5: pushed a pamphlet about Donald Trump and Gladia Tenny across

997
00:53:51,680 --> 00:53:54,560
Speaker 5: the table at her, and Claudia Tenny wants you to

998
00:53:54,640 --> 00:53:57,760
Speaker 5: know that she agrees with every single decision that Donald

999
00:53:57,800 --> 00:54:00,400
Speaker 5: Trump makes and that she's in one hundred percent support

1000
00:54:00,440 --> 00:54:04,640
Speaker 5: of him, And it justssed me off, Like you can

1001
00:54:04,880 --> 00:54:09,040
Speaker 5: like a politician and we can have differences, but when

1002
00:54:09,120 --> 00:54:12,439
Speaker 5: it comes to like such a human problem, like why

1003
00:54:12,480 --> 00:54:16,480
Speaker 5: would you not encourage this woman like cut your hand

1004
00:54:16,480 --> 00:54:19,000
Speaker 5: on her shoulder and say, like that's a lot. Let's

1005
00:54:19,400 --> 00:54:22,520
Speaker 5: let's find out the answer together, Like let's go, you know,

1006
00:54:22,760 --> 00:54:25,600
Speaker 5: look it up online and make sure that this vote

1007
00:54:25,600 --> 00:54:28,880
Speaker 5: for the big beautiful bill isn't getting damaged services for

1008
00:54:28,960 --> 00:54:31,120
Speaker 5: your son, you know, like there's like a certain level

1009
00:54:31,160 --> 00:54:34,960
Speaker 5: of responsibility that you have to your constituents. And I

1010
00:54:35,000 --> 00:54:37,560
Speaker 5: don't know, I just feel like it's been really it's

1011
00:54:37,600 --> 00:54:40,439
Speaker 5: been sold out, Like our region's just been sold out

1012
00:54:40,480 --> 00:54:43,080
Speaker 5: to this lady who you know, for Christ's sake, she

1013
00:54:43,200 --> 00:54:46,959
Speaker 5: voted against the Packed Act for a veteran. She'll post

1014
00:54:47,040 --> 00:54:50,120
Speaker 5: photos of herself washing a veteran's grave on D Day

1015
00:54:50,560 --> 00:54:54,480
Speaker 5: Like bullshit, It's just all complete bullshit. And you know what,

1016
00:54:55,000 --> 00:54:57,480
Speaker 5: I don't have a long career as a politician. I

1017
00:54:57,520 --> 00:55:00,640
Speaker 5: don't know the answer to every problem, but I dang

1018
00:55:00,680 --> 00:55:03,040
Speaker 5: sure know I care a lot more about my neighbors

1019
00:55:03,040 --> 00:55:07,480
Speaker 5: than I care about spewing rhetoric, and that I care about.

1020
00:55:07,520 --> 00:55:09,279
Speaker 3: I don't know, just like finding a.

1021
00:55:09,280 --> 00:55:12,520
Speaker 5: Marginalized group of people and hating on them, like it's

1022
00:55:12,560 --> 00:55:16,600
Speaker 5: so ludicrous. Sometimes I mean, this woman talks more about

1023
00:55:16,719 --> 00:55:19,760
Speaker 5: Zorhan Mom Donni than she does about her own region.

1024
00:55:20,440 --> 00:55:22,920
Speaker 1: Yeah, we're really suffering here people.

1025
00:55:22,960 --> 00:55:26,440
Speaker 5: I hear from people every day, including Republicans who are like,

1026
00:55:26,960 --> 00:55:27,840
Speaker 5: I can't.

1027
00:55:27,600 --> 00:55:32,360
Speaker 3: Afford my energy bills electrical seven or fifty dollars.

1028
00:55:32,719 --> 00:55:33,800
Speaker 1: How has that happened?

1029
00:55:34,000 --> 00:55:34,200
Speaker 5: Yeah?

1030
00:55:34,719 --> 00:55:37,480
Speaker 3: I've also been reached out to by thousands of people

1031
00:55:37,840 --> 00:55:41,680
Speaker 3: who've written to Claudia Tenny and what they get back

1032
00:55:41,800 --> 00:55:46,440
Speaker 3: is an AI generated like a letter that doesn't actually

1033
00:55:46,520 --> 00:55:50,360
Speaker 3: answer anything that they're asking. And there's just I just

1034
00:55:50,520 --> 00:55:52,480
Speaker 3: I know there's seven hundred eighty thousand people.

1035
00:55:52,520 --> 00:55:56,400
Speaker 5: I don't expect it from every single you know, I

1036
00:55:56,960 --> 00:55:59,719
Speaker 5: expect that she responds. But like, there has to be

1037
00:55:59,760 --> 00:56:03,799
Speaker 5: a process where we're finding problems and we're solving them,

1038
00:56:04,239 --> 00:56:07,680
Speaker 5: and you can't make the claim that every single solution is.

1039
00:56:08,080 --> 00:56:12,480
Speaker 1: Socialism, Like so what so, so tell me you're going

1040
00:56:12,520 --> 00:56:15,799
Speaker 1: to town hall, you're holding town halls, You're tell me

1041
00:56:15,840 --> 00:56:16,560
Speaker 1: what it looks like.

1042
00:56:17,160 --> 00:56:19,840
Speaker 5: You know, it's the first you start out, You contact

1043
00:56:19,880 --> 00:56:22,919
Speaker 5: all of your Democratic committees, You go out, you you talk,

1044
00:56:23,120 --> 00:56:26,000
Speaker 5: you meet people, they decide if they like you or not.

1045
00:56:26,080 --> 00:56:28,640
Speaker 3: We just finished a primary that was the first goal.

1046
00:56:29,120 --> 00:56:31,560
Speaker 3: And now we're going out. We're holding what we call

1047
00:56:31,640 --> 00:56:35,600
Speaker 3: pizza and pop events and we're just providing free pizza

1048
00:56:35,640 --> 00:56:38,160
Speaker 3: and pop. And what it looks like is that I

1049
00:56:38,320 --> 00:56:41,959
Speaker 3: call every prime Democrat in that county before I hold

1050
00:56:41,960 --> 00:56:45,359
Speaker 3: the event and invite them to come. That's great, drop

1051
00:56:45,400 --> 00:56:47,000
Speaker 3: messages or I text them.

1052
00:56:47,160 --> 00:56:50,320
Speaker 5: I also have people who are also running for office,

1053
00:56:50,440 --> 00:56:54,040
Speaker 5: like County Ledge, state Senate, state Assembly, and it's and

1054
00:56:54,080 --> 00:56:55,920
Speaker 5: we'll give them lists and say, hey, you want to

1055
00:56:55,960 --> 00:56:57,799
Speaker 5: come to this event, like there's going to be a

1056
00:56:57,800 --> 00:56:58,600
Speaker 5: bunch of people there.

1057
00:56:59,040 --> 00:57:01,200
Speaker 3: Here's a list of one hundred people to call and

1058
00:57:01,320 --> 00:57:03,400
Speaker 3: invite you. Just leave a message.

1059
00:57:03,480 --> 00:57:06,080
Speaker 5: And the last pizza and pap event we had, we're

1060
00:57:06,080 --> 00:57:09,360
Speaker 5: expecting about thirty five or forty people, and almost eighty

1061
00:57:09,400 --> 00:57:11,640
Speaker 5: people showed up to the event. So I mean it

1062
00:57:11,719 --> 00:57:13,880
Speaker 5: sounds like nothing, but it has.

1063
00:57:13,800 --> 00:57:14,440
Speaker 3: To get built.

1064
00:57:14,840 --> 00:57:19,320
Speaker 5: And people are not used to campaigning, they're not used

1065
00:57:19,360 --> 00:57:24,120
Speaker 5: to serious candidates strategies. Yeah, and so we're just trying

1066
00:57:24,160 --> 00:57:26,680
Speaker 5: to build that right now. And we're trying to meet

1067
00:57:27,080 --> 00:57:31,480
Speaker 5: everybody outside of the typical Democrats in this region, because

1068
00:57:31,680 --> 00:57:34,040
Speaker 5: first they need to know you're running for office, and

1069
00:57:34,480 --> 00:57:36,800
Speaker 5: a second, I think they want you to talk about

1070
00:57:36,960 --> 00:57:42,880
Speaker 5: solutions for money issues, which I think is totally reasonable,

1071
00:57:43,280 --> 00:57:46,520
Speaker 5: you know, in this region. And also, you know, I

1072
00:57:46,560 --> 00:57:48,960
Speaker 5: think people are sick of the rhetoric. I had a

1073
00:57:49,000 --> 00:57:52,200
Speaker 5: guy who I know is a MAGA supporter come up

1074
00:57:52,200 --> 00:57:54,200
Speaker 5: to me the other day and he said, Man, I

1075
00:57:54,280 --> 00:57:56,680
Speaker 5: voted for Donald Trump three times, but I'll never vote

1076
00:57:56,680 --> 00:57:57,680
Speaker 5: for a Republican again.

1077
00:57:57,800 --> 00:57:59,680
Speaker 3: Have you seen these diesel prices?

1078
00:58:00,120 --> 00:58:02,080
Speaker 5: And I do think it's the one thing that kind

1079
00:58:02,080 --> 00:58:06,560
Speaker 5: of cuts through the cognitive dissidence that we're facing and society.

1080
00:58:06,640 --> 00:58:11,400
Speaker 1: You know, this is so important and so good, and

1081
00:58:11,560 --> 00:58:14,600
Speaker 1: like I just I also think your message as a

1082
00:58:14,680 --> 00:58:19,360
Speaker 1: veteran is really important. Ah, thank you.

1083
00:58:19,280 --> 00:58:22,400
Speaker 3: Well, thank you for having me on. I really appreciate it.

1084
00:58:22,520 --> 00:58:26,160
Speaker 5: I feel like any opportunity I can to call attention

1085
00:58:26,240 --> 00:58:29,040
Speaker 5: to this race, I'm going to take it because it's

1086
00:58:29,280 --> 00:58:33,680
Speaker 5: just we'rell New York also deserves to be represented by

1087
00:58:33,760 --> 00:58:36,960
Speaker 5: people who actually have their best interests in mine, and

1088
00:58:37,640 --> 00:58:41,240
Speaker 5: it's you know, the city seats are are more competitive,

1089
00:58:41,600 --> 00:58:43,560
Speaker 5: but we're trying to be a dark horse in this,

1090
00:58:43,720 --> 00:58:45,840
Speaker 5: you know what I mean. We're trying to look this

1091
00:58:46,560 --> 00:58:48,800
Speaker 5: there's a lot of reasons to run for office, beyond

1092
00:58:49,080 --> 00:58:52,800
Speaker 5: just the wind too, know what I mean, There isn't

1093
00:58:53,120 --> 00:58:57,040
Speaker 5: When you run a really good campaign, you build infrastructure

1094
00:58:57,360 --> 00:59:01,640
Speaker 5: that wasn't there before. You excite people that weren't excited before,

1095
00:59:02,000 --> 00:59:04,360
Speaker 5: and a lot of down ballot candidates will get dragged

1096
00:59:04,360 --> 00:59:08,280
Speaker 5: across the finish line if I run my congressional campaign correctly,

1097
00:59:08,320 --> 00:59:10,400
Speaker 5: you know, like even if I'm not able to flip

1098
00:59:10,440 --> 00:59:12,800
Speaker 5: the seat, but We're going to work our butts off,

1099
00:59:13,160 --> 00:59:16,320
Speaker 5: just do everything we can to try, you know.

1100
00:59:16,440 --> 00:59:19,720
Speaker 1: Yeah, yeah, thank you, thank you, thank you, Melissa.

1101
00:59:20,160 --> 00:59:21,880
Speaker 3: I was so nice to meet you. Thanks for having

1102
00:59:21,880 --> 00:59:22,280
Speaker 3: me on.

1103
00:59:24,360 --> 00:59:30,840
Speaker 1: No Jason Salvag Molly jung Fast. I had you stay

1104
00:59:30,920 --> 00:59:34,680
Speaker 1: for the Moment of Rockery because I wanted you to

1105
00:59:34,760 --> 00:59:39,040
Speaker 1: talk about this internet game that you do at Trump

1106
00:59:39,120 --> 00:59:43,440
Speaker 1: rallies and why it is our moment of rockery.

1107
00:59:43,760 --> 00:59:47,360
Speaker 4: In June, I was in Washington, D C. For Donald

1108
00:59:47,400 --> 00:59:50,200
Speaker 4: Trump's Rally to End All Rallies, which had about three

1109
00:59:50,200 --> 00:59:54,760
Speaker 4: thousand people there, and I did a game, a game

1110
00:59:54,800 --> 00:59:58,880
Speaker 4: show called Easy Money, and Easy Money is a game

1111
00:59:58,920 --> 01:00:01,920
Speaker 4: show where I ask easy questions and for every correct

1112
01:00:01,960 --> 01:00:07,280
Speaker 4: answer I give away cash. And I asked some questions

1113
01:00:07,360 --> 01:00:10,280
Speaker 4: at this this Trump rally, and I was not able

1114
01:00:10,320 --> 01:00:14,240
Speaker 4: to give out any cash, and it actually completely ruined

1115
01:00:14,320 --> 01:00:17,680
Speaker 4: the pilot episode of Easy Money, and I might not

1116
01:00:17,760 --> 01:00:19,080
Speaker 4: even be able to sell it now, so I'm a

1117
01:00:19,080 --> 01:00:20,080
Speaker 4: little upset about it.

1118
01:00:20,680 --> 01:00:24,160
Speaker 1: Ask tell us some of the like the question explained

1119
01:00:24,120 --> 01:00:26,560
Speaker 1: to us the questions thereh.

1120
01:00:25,800 --> 01:00:29,840
Speaker 4: Sure, So the easy questions are like things that everyone knows.

1121
01:00:30,000 --> 01:00:32,560
Speaker 4: Like I'll ask you is the earth flat?

1122
01:00:32,760 --> 01:00:35,720
Speaker 1: As someone who occupies earths won, I would say that

1123
01:00:35,760 --> 01:00:36,200
Speaker 1: it is not.

1124
01:00:37,040 --> 01:00:39,040
Speaker 4: Do you want that's one hundred dollars? You just want

1125
01:00:39,240 --> 01:00:40,160
Speaker 4: that's easy money.

1126
01:00:40,480 --> 01:00:42,880
Speaker 1: There's the money, Yes, well you can venmo me else?

1127
01:00:43,680 --> 01:00:43,919
Speaker 2: Yes?

1128
01:00:43,920 --> 01:00:44,160
Speaker 4: Great?

1129
01:00:44,240 --> 01:00:44,479
Speaker 3: Great?

1130
01:00:44,640 --> 01:00:45,520
Speaker 1: Yeah.

1131
01:00:45,560 --> 01:00:48,560
Speaker 4: And another question was who won the twenty twenty election

1132
01:00:48,880 --> 01:00:51,400
Speaker 4: was obvious we all know that Joe Biden won, but

1133
01:00:51,520 --> 01:00:54,320
Speaker 4: every single person we asked said Donald Trump won. And

1134
01:00:54,440 --> 01:00:57,120
Speaker 4: you everyone knew the premise of the game, so it's

1135
01:00:57,120 --> 01:01:00,240
Speaker 4: like you just have to answer correctly, right. I talk

1136
01:01:00,280 --> 01:01:03,840
Speaker 4: to some of the more like the QAnon people who

1137
01:01:03,840 --> 01:01:07,880
Speaker 4: were really believes him out there, stuff like JFK Junior

1138
01:01:07,920 --> 01:01:11,880
Speaker 4: is alive, So I'd ask is JFK Junior alive? And

1139
01:01:12,280 --> 01:01:14,400
Speaker 4: I would get yes because they couldn't go against their

1140
01:01:15,080 --> 01:01:19,920
Speaker 4: beliefs to answer correctly and earn some easy money. But

1141
01:01:20,000 --> 01:01:22,080
Speaker 4: like some of the people believe the JFK Senior is alive.

1142
01:01:22,280 --> 01:01:24,960
Speaker 4: Some people believe the JFK Senior is alive.

1143
01:01:25,000 --> 01:01:25,560
Speaker 2: I think it would be.

1144
01:01:25,520 --> 01:01:28,480
Speaker 4: One hundred and eight or a hundred and nine right now, guy,

1145
01:01:28,720 --> 01:01:31,000
Speaker 4: he'd be an old guy. And you know that's.

1146
01:01:30,800 --> 01:01:34,800
Speaker 1: That's video of him getting shore.

1147
01:01:34,960 --> 01:01:38,120
Speaker 4: Yes is a proud yes, yes, yes, that exists, and

1148
01:01:38,240 --> 01:01:41,360
Speaker 4: it's a very graphic and sad video. But that is

1149
01:01:41,400 --> 01:01:44,000
Speaker 4: not proof enough for some of these q Andon people.

1150
01:01:44,040 --> 01:01:46,560
Speaker 4: But people believe that he is alive and well and

1151
01:01:46,680 --> 01:01:50,080
Speaker 4: is currently the vice president of the United States and

1152
01:01:50,240 --> 01:01:53,480
Speaker 4: is related to Donald Trump. And this is all part

1153
01:01:53,560 --> 01:01:57,960
Speaker 4: of a plan to wake everybody up to the truth.

1154
01:01:58,200 --> 01:02:00,720
Speaker 4: But when you say that all out loud, it doesn't

1155
01:02:00,760 --> 01:02:02,560
Speaker 4: sound very true.

1156
01:02:02,880 --> 01:02:04,520
Speaker 1: But that's where there's a reason for that.

1157
01:02:05,280 --> 01:02:08,760
Speaker 2: Yeah, it is not true. It is not true.

1158
01:02:08,760 --> 01:02:11,240
Speaker 4: So I didn't give away any money in Washington, DC,

1159
01:02:11,320 --> 01:02:13,400
Speaker 4: which is good for my pocketbook, bad for the game show,

1160
01:02:14,440 --> 01:02:16,680
Speaker 4: but good for you because I guess you like the video.

1161
01:02:17,560 --> 01:02:21,919
Speaker 1: That's it for this episode of Fast Politics. Tune in

1162
01:02:22,240 --> 01:02:27,680
Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best

1163
01:02:27,760 --> 01:02:32,080
Speaker 1: minds and politics make sense of all this Chaos. If

1164
01:02:32,080 --> 01:02:35,160
Speaker 1: you enjoy this podcast, please send it to a friend

1165
01:02:35,600 --> 01:02:38,800
Speaker 1: and keep the conversation going. Thanks for listening.