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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 g DP expanded by two point

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Speaker 1: six percent, reversing a six month slump. We have a

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Speaker 1: great show for you today. Joining us is the host

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Speaker 1: of Maya Colpa and the author of Revenge How Donald

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Speaker 1: Trump weaponized the U. S. Department of Justice against his critics,

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Speaker 1: Michael Cohen. And then we'll be joined by Parker Malloy,

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Speaker 1: who writes the newsletter The present Age. But first we're

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Speaker 1: joined by Greg Sargent, who writes the plumb Line blog

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Speaker 1: for the Washington Post. Welcome to Fast Politics, Greg Sargeant,

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Speaker 1: thanks for having me on. We're seeing a lot of

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Speaker 1: like really early voting and like crazy numbers of early

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Speaker 1: voting in Georgia. You saw some numbers out of Nevada.

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Speaker 1: But pundit Land is convinced that Republicans are going to

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Speaker 1: have a red wave. What do you make of those? Well,

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Speaker 1: I don't really like to speculate too much on the

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Speaker 1: meaning of early voting because you can never really tell

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Speaker 1: whether it's just cannibalizing the the election day vote, especially

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Speaker 1: these days, right because after the pandemic. I think, well,

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Speaker 1: in a way, this is really the first national election

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Speaker 1: coming after we had an election in the pandemic, right, Yeah,

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Speaker 1: so I think we don't really know whether kind of

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Speaker 1: new habits have set in where lots and lots of

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Speaker 1: people are voting early who otherwise would have voted on

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Speaker 1: election day. But either way, I think it's you know,

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Speaker 1: obviously a positive to bank them. But pundit Land is

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Speaker 1: very convinced that there's a red wave. Yeah, for sure.

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Speaker 1: They seem to be bending over backwards to portray Republicans

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Speaker 1: as swaggering and confident. Yeah. I would love to talk

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Speaker 1: to you for a minute about the difference between the

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Speaker 1: pundit classes reaction to the Georgia Walk or Warnock debate,

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Speaker 1: which was Walker are better than we thought? To the

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Speaker 1: Pennsylvania debate for Fetterman and Dr Oz. Can you talk

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Speaker 1: to us about that? Well, the beauty of the expectations game,

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Speaker 1: to use that awful pundit cliche, is that you can

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Speaker 1: just twist it fit whatever narrative you want. Right if

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Speaker 1: you say, okay, well I'm gonna say that expectations are

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Speaker 1: low for this guy, then you know, if he doesn't

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Speaker 1: vomit on the stage, you can say, well, he defied expectations, right,

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Speaker 1: or conversely, you know, you can just sort of say

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Speaker 1: that someone still fell short of the expectations even though

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Speaker 1: I lowered them, so they're even worse, right, they didn't

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Speaker 1: even worse than I thought. It's just I think we

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Speaker 1: need to just end the expectations game entirely. It's an

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Speaker 1: utterly useless construct for understanding debates, And and Fetterman is

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Speaker 1: a really good example of this, right, Like you probably

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Speaker 1: saw how there was a ton of punditry about how

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Speaker 1: you know Fetterman. Oh, you know, voters aren't going to

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Speaker 1: see this through quote unquote ablest MSNBC frames at all, Right,

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Speaker 1: And they couldn't even fathom the possibility that maybe voters

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Speaker 1: would see his difficulties through the prism of their own challenges,

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Speaker 1: which made them into the ones who are in a bubble,

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Speaker 1: which I thought was kind of funny. Yeah, I mean

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Speaker 1: that it's so interesting because it's like, we talk so

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Speaker 1: much about this idea that there's a bubble in this

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Speaker 1: in these coastal cities, but then there is a sort

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Speaker 1: of pushback to the like liberalism of coastal cities in

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Speaker 1: the media, which is like to almost overcompensate to be conservative,

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Speaker 1: to make it seem like they're balanced. Can we talk

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Speaker 1: about that? That is really a serious problem, right, I

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Speaker 1: think that reporters and pundits are heavily inclined towards believing

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Speaker 1: Republicans when they say that they're confident that they're gonna win.

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Speaker 1: And nobody is confident of anything, at least with the

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Speaker 1: Senate map, I don't think right nobody knows what's going

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Speaker 1: to happen. Democratic victory or Republican victory in the Senate.

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Speaker 1: They're they're pretty much it's a toss up. No one knows,

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Speaker 1: and yet the press is filled with Republicans are on offense.

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Speaker 1: Republicans are confident. And the reason is, I think partly

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Speaker 1: what you identified, which is when Republicans say that they're confident,

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Speaker 1: reporters who are worried about being pasted as liberal kind

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Speaker 1: of worry that, oh, no, I'm missing something. I'm missing

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Speaker 1: something out there in real America, and I can't be

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Speaker 1: seen to be missing something in real America. So yes,

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Speaker 1: Republicans have good reason to be confident. And that's sort

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Speaker 1: of I think the dynamic. We've seen a lot of

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Speaker 1: that recently, Like you'll have a sort of bad face

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Speaker 1: ploy from Republicans and reporters will go along with it,

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Speaker 1: and then you'll have a sort of a certain kind

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Speaker 1: of like you know, normal play from Democrats and it

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Speaker 1: will be you know, democrats claim it's so interesting because

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Speaker 1: it's like clearly everyone add some bias. Yeah, and also

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Speaker 1: I think Democrats actually kind of lean in the other

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Speaker 1: directions sometimes, right, Like you constantly see when the tiniest

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Speaker 1: thing goes wrong, You constantly see anonymous Democrats getting quoted

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Speaker 1: wringing their hands about this, that or the other thing.

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Speaker 1: It's almost like they want to approval from the savvy,

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Speaker 1: you know what I mean. These reporters hold some sort

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Speaker 1: of weird mystical power over some Democrats, where Democrats think

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Speaker 1: they're in the club if they're seen to be not

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Speaker 1: being in a bubble themselves. Right, Yeah, the realistic democrat

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Speaker 1: recognizes that he's probably gonna lose. Okay, I approve, I mean, no,

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Speaker 1: I think it's true. And it's funny because I was

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Speaker 1: thinking about this because there's a guy who writes for Axios,

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Speaker 1: who comes from right wing world, who was, you know,

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Speaker 1: telling me that I was wrong about Fetterman and that,

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Speaker 1: and it was one of the first people to tweet

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Speaker 1: this is a disaster for Fetterman. Right. This was about

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Speaker 1: that interview. They said that obviously Federman is very pain

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Speaker 1: and I said, well, I interviewed him and he was fine.

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Speaker 1: So and he got furious with me, and he was like,

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Speaker 1: you can apologize now in the d m s. And

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Speaker 1: I was like, go fund yourself. I didn't say, go

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Speaker 1: fuckers up. And I said, well, I'm not going to

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Speaker 1: apologize from what I saw, but you were attempted to

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Speaker 1: say that though, aren't you. Oh my god, it was

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Speaker 1: my dream is in the movie version, I said, go

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Speaker 1: fund yourself, But in the real version, I said, you know, no,

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Speaker 1: that's what I saw. And he blocked me. Yeah, I mean,

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Speaker 1: good for him, you know, you live in the reality

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Speaker 1: you want to live. And he got furious. But he

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Speaker 1: wanted me to apologize, you know, for what I saw

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Speaker 1: for because he was like, well, this woman saw something different,

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Speaker 1: so obviously you're wrong. Why don't you And it was like,

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Speaker 1: you know, good for him, man, We're worth trying. Right.

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Speaker 1: And last night Tucker Carlson did a whole segment of

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Speaker 1: veteran This Well defending herschel Walker. Yeah, I mean, I

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Speaker 1: don't think he could ever expect anything remotely approaching much

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Speaker 1: honesty or consists and see from Tucker Carlson. But that's

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Speaker 1: pretty even, that's egregious even for him. I think because

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Speaker 1: you write so much, and I appreciate it. You've written

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Speaker 1: a lot of stuff you wrote about the doctor Oz

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Speaker 1: and Fetterman debate, and how this this idea of I mean,

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Speaker 1: I actually think Oz looks bad when he attacks Fetterman's health,

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Speaker 1: that he looks like kind of mean. Yeah, I agree

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Speaker 1: with that, and I think it actually kind of resonates

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Speaker 1: with another plausible understanding of Oz. You know, the kind

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Speaker 1: of supercilious, smug, entitled elite type who swans him and

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Speaker 1: thinks he can just sort of snatch a sentency. Look,

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Speaker 1: I mean, Fetterman really did struggle. I don't think anyone's

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Speaker 1: gonna deny that. And we don't really know whether it

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Speaker 1: will hurt him. It might, it really might, But you know,

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Speaker 1: maybe something like that mitigates it a bit. Right. It

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Speaker 1: kind of plays into Federman's narrative, right, like Edoman is

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Speaker 1: trying to portray himself with good reason. I think is

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Speaker 1: someone who over is trying to overcome something very difficult

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Speaker 1: and telling voters that that shows that he's a fighter

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Speaker 1: against diversity and so forth, and then he'll understand their struggles.

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Speaker 1: And so to have Odz kind of sneeringly put him

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Speaker 1: down kind of feeds into the larger story and larger

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Speaker 1: contrast Federman is trying to draw. I don't know if

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Speaker 1: it'll be enough. I think we just don't know, but

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Speaker 1: it could be. It could help. I interviewed Fetterman pre

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Speaker 1: stroke and post stroke, and Federman was always laconic, you know,

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Speaker 1: he was never like a huge talker. Yes he's had

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Speaker 1: a stroke, Yes he struggles, Yes there's auditory processing, but

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Speaker 1: it's not like he was a huge talker to begin with.

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Speaker 1: And so, I mean, I do think of that a lot.

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Speaker 1: Not that I'm defending him having a stroke. I don't

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Speaker 1: want to seem like I'm saying anything nice about anyone,

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Speaker 1: but I do think like it's not such a radical

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Speaker 1: shift in my mind from the way he is before,

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Speaker 1: at least speech wise, he wasn't like a super fast

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Speaker 1: talk or anything. I want to talk to you about

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Speaker 1: this piece you wrote about the magabase Trump. Let's slip

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Speaker 1: about the Magabase intas to Pete to explain to us

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Speaker 1: because this is super interesting. Oh, this is the one

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Speaker 1: about the phone call between Blake Masters and Donald Trump.

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Speaker 1: I think, yeah, yeah. Fox News documentary has audio of

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Speaker 1: a call between Donald Trump and Blake Masters after a

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Speaker 1: Blake Masters debate in which Masters kind of surprised everybody

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Speaker 1: by saying he didn't see evidence of election fraud. And

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Speaker 1: Trump got on the phone and rebuked him and said, look,

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Speaker 1: Carrie Lake's doing a whole lot better than you, and

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Speaker 1: and she's absolutely a hundred percent behind the idea that

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Speaker 1: the election was stolen from me, and so if you

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Speaker 1: want to keep the base on your side, you've got

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Speaker 1: to keep saying that as much as possible. And everyone

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Speaker 1: had a good laugh about that for for good reason.

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Speaker 1: But I think it's actually like it's it's like a

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Speaker 1: pretty big confession about what's really happened to the Republican base.

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Speaker 1: I mean, Trump is actually right that that in order

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Speaker 1: to energize the Republican base you have to say that

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Speaker 1: the election is stolen from him. And I just thought

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Speaker 1: that was pretty amusic. I mean, at this point we

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Speaker 1: treated as ordinary, which is just kind of bizarre, right,

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Speaker 1: which or maybe something a little bit more like Trump

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Speaker 1: being Trump or crazy Trump beings any and crazy. But

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Speaker 1: it seems like we should talk a little bit more

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Speaker 1: about the fact that the front runner for the Republican

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Speaker 1: nomination sort of said explicitly that the way to energize

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Speaker 1: Republican base voters is to lie to them about what

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Speaker 1: happened in the election. Yeah, I mean, I think that's

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Speaker 1: a really important data point. Ultimately the party has taken.

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Speaker 1: Really the only thing that everyone agrees on in the

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Speaker 1: Republican Party is that they won in which they didn't

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Speaker 1: and that if they don't win in two it's somehow

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Speaker 1: fraud Right. At this point, what they're saying to their

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Speaker 1: voters is, if you lose, it doesn't count, right, But

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Speaker 1: if you win, it does it does. Right. I've tweeted

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Speaker 1: this a few times. But election integrity, which is the

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Speaker 1: dumb phrase that Republicans used constantly, actually means elections only

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Speaker 1: have integrity when Republicans win them. Right, That's literally what

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Speaker 1: it means. I mean, that's not hyperbolic, it's actually what

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Speaker 1: they believe. It's what they mean. Yeah. I do worry

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Speaker 1: that we are not panicked enough about this. I actually

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Speaker 1: went on medi show yesterday and Meddie talked about this

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Speaker 1: a lot. He argued with this guy from Brookings about

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Speaker 1: it on Morning Joe. There's a lot of like, don't

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Speaker 1: say that this antidemocracy is the road to authoritarianism because

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Speaker 1: it sounds bad, but that's what it is, right, Well, yes,

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Speaker 1: I mean I don't understand how anyone can really deny that.

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Speaker 1: I think you're talking about the exchange this morning. Yeah,

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Speaker 1: maybe it was this morning with med and uh, I

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Speaker 1: can't remember the other guy's name from Brookings. Yeah, and

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Speaker 1: that that got a lot of Twitter buzz going and

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Speaker 1: people were kind of dunking on. I guess his name

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Speaker 1: is shod Yeah. But I side with media on this.

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Speaker 1: I mean, it's hard to look at the Republican Party

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Speaker 1: today and deny that non trivial swaths of the base

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Speaker 1: and even the elected officialdom are are moving in that direction.

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Speaker 1: I don't know how you can deny that. Yeah, but

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Speaker 1: it is like you definitely are seeing there's a pushback,

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Speaker 1: and again I think that's that normal. As a you know,

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Speaker 1: mainstream media is very worried that they're going to call

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Speaker 1: fire in a crowded theater, so they're you know, in

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Speaker 1: a certain way they're kind of you know, slow rolling

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Speaker 1: at Yeah. I mean, I guess it sort of depends, right, Like,

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Speaker 1: the major news organizations are in some ways doing really

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Speaker 1: great work, right in the sense that they're documenting a

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Speaker 1: lot of this stuff and and really grew some granular detail.

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Speaker 1: You know, there was an AP story about the insanity

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Speaker 1: in Arizona. The Times on you know, the Post do

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Speaker 1: a lot of that stuff. I think maybe where we

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Speaker 1: all struggle a little bit is in getting the language

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Speaker 1: right to describe this, which is kind of a different

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Speaker 1: matter from reporting in a granular way on it, which

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Speaker 1: the news organizations are doing. It's hard to find the

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Speaker 1: right language for this stuff, don't you think. Yeah, I

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Speaker 1: think it's twofold. It's hard to find the right languages

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Speaker 1: for this. It's hard to write about it. And also

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Speaker 1: you don't want to be wrong, right, And you know,

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Speaker 1: I think there's probably a real, a widespread worry about

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Speaker 1: appearing to alarmist and it appears partisans sort of automatically

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Speaker 1: to just be saying that one party has gone off

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Speaker 1: the deep end. And that's kind of a hard thing

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Speaker 1: for news organizations that are nominally wedded to a kind

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Speaker 1: of I don't know, not particularly well defined ideal of

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Speaker 1: objectivity to do right right? No, No, I agree, I

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Speaker 1: think it's really important. So what are you watching in

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Speaker 1: this last eleven days or twelve days or thirteen days?

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Speaker 1: I don't I want some good polls out of Pennsylvania.

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Speaker 1: Are there any polls that you trust? It's sorry to

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Speaker 1: be unfun here. No, absolutely, I mean I think that

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Speaker 1: I think we all know that the industry is in

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Speaker 1: something approaching crisis and if something goes wrong, if there's

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Speaker 1: a major miss this time, it's going to be even worse.

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Speaker 1: But all we have are are the polling averages, right,

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Speaker 1: And I'd like to see three or four quality polls

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Speaker 1: out of Pennsylvania. Another thing I'm kind of looking out

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Speaker 1: for is a surprise by Catherine Cortes Masto, who I

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Speaker 1: think could conceivably survive against Adam Um. I had to

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Speaker 1: use the word expectations. But this is why I'm paying

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Speaker 1: attention to that one. If she can hang on, and

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Speaker 1: I think it's possible, right, I think it's getting written

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Speaker 1: off as being treated as she's being treated as the

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Speaker 1: most vulnerable incumbent, and I can kind of see that.

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Speaker 1: But if she survives and the Latino vote goes to

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Speaker 1: her by size of little margins. I think people are

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Speaker 1: gonna have to rewrite their front the narratives in a

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Speaker 1: big way. Conversely, if she loses in the Latino vote

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Speaker 1: is part of that, then I think we've got a

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Speaker 1: really the Democratic Party is going to have some major

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Speaker 1: reckoning to do. Yeah, no, I agree. I mean I

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Speaker 1: think either way this could be a very bad night

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Speaker 1: for polsters. Yeah, well, right, it will go the other way,

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Speaker 1: and I think everybody, I mean, it's almost comical to

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Speaker 1: watch some of the big data people kind of hedge

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Speaker 1: their bets, and that I think of like in two

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Speaker 1: sixteen they were wrong right with Trump, or they were

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Speaker 1: off enough to really be wrong, and then they were

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Speaker 1: wrong on all those Senate races like Sarah Gideon up

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Speaker 1: by eight points or something. Oh yeah, no, that's true.

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Speaker 1: I mean, the state polling is is a real mess.

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Speaker 1: And then of course the House races. I have to say,

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Speaker 1: I don't remember exactly what the prediction models were showing

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Speaker 1: in the House, but I don't think anyone expected something.

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Speaker 1: Democrats underperformed on the polling in right, They underperformed the

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Speaker 1: polling right, so the polling didn't really capture the kind

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Speaker 1: of the deterioration on down ballot for Democrats, which I

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Speaker 1: guess is you know another that was a very challenging

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Speaker 1: thing to get right though. I mean, you really had

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Speaker 1: this kind of anti Trump majority across the country that

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Speaker 1: was really hit unprecedented turnout levels both in and but

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Speaker 1: in a weird dynamic kicked in where that anti Trump

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Speaker 1: coalition wasn't entirely a pro democratic coalition, Right, Greg Sergeant,

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Speaker 1: please come back. I will. I'm always happy to. Michael

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Speaker 1: Cohen is the host of Mayakalpa and the author of Revenge,

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Speaker 1: How Donald Trump weaponized the West Department of Justice against

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Speaker 1: his critics. Welcome to Fast Politics, Michael Cohen. How you doing, Molly?

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Speaker 1: Long time, long time. You have a new book and

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Speaker 1: I want to talk to you about it. It's called Revenge.

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Speaker 1: Why did you write this book? And who's getting the revenge? Well,

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Speaker 1: that's the interesting The revenge should really be considered as

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Speaker 1: the revenge of the entire um country as against an

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Speaker 1: individual who, for some unknown reason has decided that he

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Speaker 1: was going to ignore what forty four presidents before him

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Speaker 1: had done, and that is to protect our democracy, as

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Speaker 1: opposed to trying to create an autocracy, something that our

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Speaker 1: founding fathers were always always concerned about, that there would

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Speaker 1: be a president that didn't really want to be a president,

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Speaker 1: that wanted to be a dictator. But the reason that

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Speaker 1: I wrote the book is I wanted people to understand

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Speaker 1: the true story, the real story, the accurate story about

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Speaker 1: me and what happened to me. So the way I

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Speaker 1: look at revengees, it's really the dissection of the most

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Speaker 1: corrupt investigation into a citizen of the United States, literally

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Speaker 1: in American history. And the part I really want people

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Speaker 1: to understand is what Revenge does. It demonstrates using my case,

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Speaker 1: is the example what happens when you have an autocratic,

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Speaker 1: fascist minded president who elects to weaponize the Department of

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Speaker 1: Justice in order to silence a critic. Because I promise you,

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Speaker 1: if we allow ever back into the White House, if

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Speaker 1: we allow someone like Donald Donald Trump two point oh,

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Speaker 1: that's the end of our democracy. So I want to

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Speaker 1: push back on that for a minute, because do you

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Speaker 1: think Trump will run again? No? No, But I'm not

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Speaker 1: even worried about well, because, as I've been saying all along,

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Speaker 1: this isn't a new common for me. I've said it

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Speaker 1: all along. This is the big grift. The man has

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Speaker 1: seen what he can do in terms of fundraising off

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Speaker 1: of we'll call them the stupids of society that give

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Speaker 1: to a billionaire money that he can keep and use

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Speaker 1: of it as his at his total and soul discretion.

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Speaker 1: They're giving their their needed money to him, and he's

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Speaker 1: already raised what over a quarter of a billion dollars

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Speaker 1: doing it. This is the greatest grip to him, and

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Speaker 1: it's really only the remaining grif that he has. This

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Speaker 1: all stops if and when he becomes you know, a candidate.

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Speaker 1: Explain that to me a little more. What ends up

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Speaker 1: happening here is he has this superpack while he is

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Speaker 1: just the will call him power broker, which he legitimately is.

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Speaker 1: While he's power broker, he has the super pact that,

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Speaker 1: if you look at the fine print on it, he

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Speaker 1: is permitted at his sole discretion to use of the

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Speaker 1: funds that come in anyway that he wants. If he

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Speaker 1: becomes a formal candidate, it has to go into a

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Speaker 1: formal candidates coffers right, which then of course gets disclosed

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Speaker 1: in the whole nine yards, But he cannot use it there.

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Speaker 1: It's regulated um More to um rules that don't permit

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Speaker 1: this sort of we'll call it abuse, right, that makes sense.

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Speaker 1: I'm still kind of shocked because I always think of

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Speaker 1: Trump as someone who, when there's a possibility to do

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Speaker 1: the worst possible thing, he almost always does it. Well,

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Speaker 1: that's probably true, But another reason why he won't run

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Speaker 1: is because he knows statistically that he cannot win. Now,

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Speaker 1: he may be successful, maybe successful in winning a primary,

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Speaker 1: but he cannot win a general election. Even his support

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Speaker 1: amongst the Republicans is waning. Now, I'm not talking about

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Speaker 1: the fringe whackadoodles that have decided that he's the next

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Speaker 1: coming of Christ. I'm talking about Republicans that voted for

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Speaker 1: him the first time but are actually skids shitless that

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Speaker 1: the guy could end up back behind the Lincoln desk,

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Speaker 1: you know in d C. Let's not forget Molly. This

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Speaker 1: this whackadoodle, and there's all the way to describe him.

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Speaker 1: Took documents from the White House, top secret classified documents

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Speaker 1: that we just learned our nuclear in nature, that deal

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Speaker 1: with Iran, that deal with China. Actions of this man

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Speaker 1: are so illegal. Immediately be indicted and incarcerated. Anybody else

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Speaker 1: would have already had the full force of this government,

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Speaker 1: you know, breathing down their neck and you know, kicking

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Speaker 1: down their doors, as he likes to say. Except for him,

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Speaker 1: he has no care in the world about what he

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Speaker 1: does to this country, to our national security, to our relations,

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Speaker 1: to our international relations, both positive and negative. He is

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Speaker 1: a true menace to society. He is a menace. There's

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Speaker 1: no other way for me to describe this. I mean,

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Speaker 1: you know him better than probably ninety nine point nine

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Speaker 1: nine nine presented population, right, Okay, I mean I think

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Speaker 1: you know him pretty well. You work with him for

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Speaker 1: a long long time. I do, accept Molly. Remember when

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Speaker 1: I worked with him state company, there was media involved

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Speaker 1: and so on. The Donald Trump that you are seeing

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Speaker 1: now the worst version of himself imaginable. And it's a

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Speaker 1: totally different Donald that we are now contending with versus

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Speaker 1: what we used to deal with. Okay, he had fights

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Speaker 1: with pain contractors, he fights with developers or with the

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Speaker 1: carpet people. You didn't matter. That's the point I'm trying

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Speaker 1: to make. Once he tasted the full power of the presidency,

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Speaker 1: that's when he really became the worst version of himself.

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Speaker 1: So so, now that he's not president and he's not platformed.

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Speaker 1: Do you think he's gone back to sort of more

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Speaker 1: of what he was like before, or do you think

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Speaker 1: that the presidency is like a is sort of like

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Speaker 1: a bell. They can't be unwrong. It is definitely the

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Speaker 1: bell that can't be unwrong. The fact that this man

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Speaker 1: was sitting with thousands of pages of documents that belonged

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Speaker 1: to the National Archives. The fact that he got Christina Hobb,

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Speaker 1: a lawyer, to sign a document to which was sent

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Speaker 1: to the National Art Type stating that he does not

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Speaker 1: have any more documents or he doesn't have any documents.

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Speaker 1: Then they figure out that he does, then they raid

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Speaker 1: the place. She's now in trouble. He should technically be

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Speaker 1: in trouble. We're now learning that there are potentially additional documents.

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Speaker 1: This man is completely uninged. So let's talk about those documents.

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Speaker 1: Because you know him, So why do you think he

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Speaker 1: took the documents? Like do you think because there's so

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Speaker 1: many different theories and like I've heard very smart reporters

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Speaker 1: say things like, well, he's just messy and disorganized. I've

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Speaker 1: heard other theories. I mean, you know him. Do you

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Speaker 1: think he took the documents because he was hoping for

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Speaker 1: a black mail scenario, or do you think he took

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Speaker 1: the documents because he was messy and disorganized in or

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Speaker 1: in a hurry, or do you think there's some other

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Speaker 1: reason that we are not fully processing. No, I've been

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Speaker 1: very um consistent in my statement, which is he took

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Speaker 1: them for money and power. This was his get out

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Speaker 1: of jail free card. He would use these documents too,

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Speaker 1: either extort the country in the event that an indictment

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Speaker 1: was forthcoming, where he would state I have nucle ar

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Speaker 1: secrets that I mean I in August thirty one, I

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Speaker 1: had stayed several of these things, including my fear that

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Speaker 1: he has additional documents that are being stashed in other places,

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Speaker 1: like you know, maybe the kids houses, his apartment here

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Speaker 1: in Fifth Avenue, wherever the man was and needs to look.

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Speaker 1: But it's all about the money and the power. So

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Speaker 1: you think he took those documents with the hope of

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Speaker 1: blackmail in the United States government or blackmailing the the

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Speaker 1: other governments. But well, we don't know the answer to

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Speaker 1: that one. But it's definitively to blackmail the United States government.

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Speaker 1: The statement that I can see someone like Donald saying,

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Speaker 1: is really you want to indict me, You want to

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Speaker 1: incarcerate me. I had documents that will destroyed the national

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Speaker 1: security of the United States of America. Do you really

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Speaker 1: want to take that risk to put a seventy nine

426
00:26:07,560 --> 00:26:10,600
Speaker 1: year old guy behind bars. I think the answer is

427
00:26:10,640 --> 00:26:14,920
Speaker 1: probably no. There's an alternative, and I have an alternative

428
00:26:14,960 --> 00:26:19,080
Speaker 1: theory as well, which is that this is his four

429
00:26:19,119 --> 00:26:23,439
Speaker 1: oh one K program right whereby he'll turn around and

430
00:26:23,480 --> 00:26:27,359
Speaker 1: he'll have Jared or Um somebody on don or Eric

431
00:26:27,680 --> 00:26:30,879
Speaker 1: go meet with, whether it's g Pain or whether it

432
00:26:30,920 --> 00:26:34,320
Speaker 1: would be Pootin or whether it would be Mohammed Ben Salmon.

433
00:26:34,720 --> 00:26:39,760
Speaker 1: Whereby he would say, look, we have these documents, want them.

434
00:26:39,960 --> 00:26:44,040
Speaker 1: It's gonna question you xam amount of dollars. Just don't

435
00:26:44,080 --> 00:26:47,080
Speaker 1: tell anybody you got him from me? Right. I mean,

436
00:26:47,320 --> 00:26:50,399
Speaker 1: it's interesting because if you think about these tapes, what

437
00:26:50,600 --> 00:26:54,760
Speaker 1: word has all these Trump tapes? And Trump gives Woodward

438
00:26:55,400 --> 00:26:59,359
Speaker 1: some Kim Jong staff, and it's sort of like, isn't

439
00:26:59,400 --> 00:27:02,280
Speaker 1: this cool? I mean so, I guess. I mean. The

440
00:27:02,280 --> 00:27:04,280
Speaker 1: thing that I'm sort of impressive with the Trump is

441
00:27:04,400 --> 00:27:07,520
Speaker 1: he's still kind of in awe of the kind of

442
00:27:07,600 --> 00:27:11,000
Speaker 1: stuff he got to see when he was president. He

443
00:27:11,160 --> 00:27:14,480
Speaker 1: has not come to the realization. Yet and this is

444
00:27:14,480 --> 00:27:17,960
Speaker 1: where I state that I believe he is unhinged. Yet

445
00:27:18,000 --> 00:27:21,160
Speaker 1: he is not the president of the United States anymore.

446
00:27:21,320 --> 00:27:23,840
Speaker 1: And the problem is is he walks around his maral

447
00:27:23,960 --> 00:27:27,879
Speaker 1: Lardo golf club and all that the social club people

448
00:27:27,920 --> 00:27:30,840
Speaker 1: are calling him Mr. President, and they get up and

449
00:27:30,880 --> 00:27:33,719
Speaker 1: they they clap for him, they chiff to him. So

450
00:27:33,760 --> 00:27:36,679
Speaker 1: in his mind it's very Kim Jung nish. But I

451
00:27:36,760 --> 00:27:39,840
Speaker 1: want to draw your attention to something that we don't

452
00:27:39,840 --> 00:27:43,959
Speaker 1: need Woodwards tapes to know that Donald would show stuff

453
00:27:44,000 --> 00:27:47,320
Speaker 1: like this, you know, to somebody else. We've already seen

454
00:27:47,400 --> 00:27:51,520
Speaker 1: it happen. Did it happen when for some unknown reason,

455
00:27:51,840 --> 00:27:57,199
Speaker 1: the Russian ambassador or the um, the the delegation that

456
00:27:57,280 --> 00:28:02,240
Speaker 1: came to the United States, he showed um documents. The

457
00:28:02,320 --> 00:28:07,200
Speaker 1: guy is a fucking moron. And he doesn't care about democracy.

458
00:28:07,280 --> 00:28:10,879
Speaker 1: He doesn't care about process or protocol, None of that

459
00:28:10,960 --> 00:28:15,560
Speaker 1: means anything to him. He just doesn't care, right, no question.

460
00:28:15,680 --> 00:28:18,840
Speaker 1: But I mean, where does he go from here? Hopefully

461
00:28:18,960 --> 00:28:21,800
Speaker 1: to prison or at least to some form of a

462
00:28:21,880 --> 00:28:25,640
Speaker 1: home confinement, because unless we stop him, look it goes.

463
00:28:25,800 --> 00:28:28,359
Speaker 1: Let me just take this back to revenge for a

464
00:28:28,400 --> 00:28:31,919
Speaker 1: second and I say this, Molly, because you're probably on

465
00:28:32,200 --> 00:28:36,600
Speaker 1: his enemies list. You really don't want to hope because

466
00:28:36,640 --> 00:28:41,440
Speaker 1: the consequence is a very significant. It upturns your entire life,

467
00:28:41,640 --> 00:28:46,960
Speaker 1: it destroys your family, it's financially destroys you. So you

468
00:28:47,040 --> 00:28:49,880
Speaker 1: really don't want to hope. One of the reasons again

469
00:28:49,960 --> 00:28:54,080
Speaker 1: why I wrote Revenge is I really wanted people to

470
00:28:54,240 --> 00:28:59,520
Speaker 1: understand that what happened to me can happen to you

471
00:29:00,000 --> 00:29:04,120
Speaker 1: if you allow somebody like Donald Trump into the White House,

472
00:29:04,160 --> 00:29:09,480
Speaker 1: somebody that has no compunction use the Department of Justice

473
00:29:10,080 --> 00:29:14,680
Speaker 1: as his hit squad in order to prevent people like

474
00:29:14,800 --> 00:29:23,240
Speaker 1: myself from speaking out against him. This is again very dictatorial, autocratic, monarchical,

475
00:29:23,680 --> 00:29:28,760
Speaker 1: supreme leadersh kind of stuff where he's something negative about Putin.

476
00:29:29,480 --> 00:29:33,480
Speaker 1: We've seen what happened or what eight nine um oligarchs,

477
00:29:33,760 --> 00:29:37,280
Speaker 1: negabillionaires that all of a sudden, you know, decided that

478
00:29:37,320 --> 00:29:40,200
Speaker 1: they can fly and they start flying out of tents,

479
00:29:40,320 --> 00:29:43,320
Speaker 1: you know, tent floor windows and so on, or have

480
00:29:43,640 --> 00:29:48,400
Speaker 1: some sort of a suicide scenario. They realize what's going

481
00:29:48,440 --> 00:29:52,520
Speaker 1: on in These are people that irked him by making

482
00:29:52,640 --> 00:29:57,080
Speaker 1: statements that he didn't like, and the result is death now.

483
00:29:57,400 --> 00:30:00,000
Speaker 1: I even say in the book, I believe if Trump

484
00:30:00,040 --> 00:30:03,680
Speaker 1: had the opportunity for me to get killed, he absolutely

485
00:30:03,720 --> 00:30:08,400
Speaker 1: would have liked that. However, he was unable to effectuate that,

486
00:30:08,560 --> 00:30:14,160
Speaker 1: so instead he decided to settle for my incarceration not once,

487
00:30:14,240 --> 00:30:17,400
Speaker 1: but twice. And what I do in revenge is I

488
00:30:17,560 --> 00:30:22,240
Speaker 1: go through the entire case, from the fake steel dot

489
00:30:22,280 --> 00:30:29,760
Speaker 1: cier to the unconstitutional remand. And I used that a guideline,

490
00:30:29,760 --> 00:30:34,400
Speaker 1: a roadmap to speak where it's not me telling you

491
00:30:34,680 --> 00:30:38,920
Speaker 1: that this is what happened. We speak to former FBI

492
00:30:39,040 --> 00:30:42,480
Speaker 1: agents who you know and the current FBI agents would be,

493
00:30:42,560 --> 00:30:47,400
Speaker 1: to former prosecutors, to judges, we speak to just a

494
00:30:47,440 --> 00:30:51,640
Speaker 1: plethora of individuals that all turned around due to the

495
00:30:51,720 --> 00:30:55,800
Speaker 1: same ultimate conclusion that this whole thing was concoct by Trump,

496
00:30:56,080 --> 00:30:59,160
Speaker 1: you know. And again he used the Department of Justice

497
00:30:59,400 --> 00:31:02,880
Speaker 1: in order to silence of critic. This is not the

498
00:31:02,920 --> 00:31:07,200
Speaker 1: way that our forefathers ever expected. I'm not sure our

499
00:31:07,280 --> 00:31:10,240
Speaker 1: forefathers were such fans of Jews, Listen, I don't know.

500
00:31:10,280 --> 00:31:16,040
Speaker 1: I never asked any of them, you know, as you myself.

501
00:31:16,120 --> 00:31:18,760
Speaker 1: I always think like these guys probably would not have

502
00:31:18,840 --> 00:31:22,080
Speaker 1: been big fans. Michael Cohen The book is called Revenge.

503
00:31:22,160 --> 00:31:25,120
Speaker 1: Thank you so much for joining us. Well, it's always

504
00:31:25,120 --> 00:31:29,600
Speaker 1: good to speak to you, Molly always. Parker malloy is

505
00:31:29,640 --> 00:31:32,920
Speaker 1: the author of the newsletter at the present Age. Welcome

506
00:31:32,960 --> 00:31:36,280
Speaker 1: to Fast Politics, Parker malloy. Hey, how's it going, Molly good?

507
00:31:36,480 --> 00:31:39,440
Speaker 1: I'm so excited to have you. First. Should we talk

508
00:31:39,480 --> 00:31:43,040
Speaker 1: about Elon mush buying Twitter? I think we should? Yeah, yeah,

509
00:31:43,080 --> 00:31:47,800
Speaker 1: probably it's it's probably going to affect the whole world,

510
00:31:47,880 --> 00:31:51,080
Speaker 1: so I guess it's worth mentioning. So let's talk about

511
00:31:51,080 --> 00:31:54,680
Speaker 1: this because this is super interesting to me. We're we're

512
00:31:54,720 --> 00:31:58,520
Speaker 1: sitting on this precipice. It's supposed to happen tomorrow, or

513
00:31:58,560 --> 00:32:01,280
Speaker 1: maybe it's already happened. There a lot of conflicting reports,

514
00:32:01,400 --> 00:32:05,480
Speaker 1: but you tweeted out something really interesting, which was that actually,

515
00:32:05,640 --> 00:32:09,880
Speaker 1: already the Twitter algorithm has a right leaning bias, which

516
00:32:09,960 --> 00:32:14,400
Speaker 1: is sort of hilarious because we always hear right wingers

517
00:32:14,480 --> 00:32:16,960
Speaker 1: complaining about that. Can you talk us through that a

518
00:32:17,000 --> 00:32:19,080
Speaker 1: little bit? Yeah, sure, of course, you know, and this

519
00:32:19,160 --> 00:32:23,719
Speaker 1: is something that conservatives have kind of done in every

520
00:32:23,840 --> 00:32:28,000
Speaker 1: aspect of our lives. They've they've complained that there is

521
00:32:28,040 --> 00:32:31,760
Speaker 1: a a liberal bias in whether it's mainstream media or

522
00:32:31,800 --> 00:32:37,120
Speaker 1: whether it's Facebook or Twitter or YouTube, there is always

523
00:32:37,160 --> 00:32:40,800
Speaker 1: this this sense that they are being discriminated against. And

524
00:32:40,920 --> 00:32:43,560
Speaker 1: usually what it comes down to is that they just

525
00:32:43,640 --> 00:32:46,000
Speaker 1: break whatever rules are in place, Like all of these

526
00:32:46,000 --> 00:32:49,240
Speaker 1: platforms have rules, because you have to have some rules.

527
00:32:49,320 --> 00:32:53,120
Speaker 1: Even Elon Musk the as we're recording this, tweeted out

528
00:32:53,120 --> 00:32:56,000
Speaker 1: a note to try to keep advertisers from from leaving

529
00:32:56,000 --> 00:33:00,600
Speaker 1: the site. That was the fakess note. Oh it's amazing. Yeah. Well,

530
00:33:00,640 --> 00:33:03,160
Speaker 1: also it doesn't help that he has a long history

531
00:33:03,200 --> 00:33:06,640
Speaker 1: of just being a wild liar about all sorts of things,

532
00:33:06,720 --> 00:33:09,640
Speaker 1: you know, I mean just just look at his uh

533
00:33:09,680 --> 00:33:12,040
Speaker 1: his support for hyper loop, which was really just kind

534
00:33:12,040 --> 00:33:17,680
Speaker 1: of a plot to to derail you know, to reinventing

535
00:33:17,760 --> 00:33:20,920
Speaker 1: tunnels all the all the time. But with this, part

536
00:33:20,920 --> 00:33:23,600
Speaker 1: of the argument has been on the right with Twitter

537
00:33:24,080 --> 00:33:26,680
Speaker 1: is that it has an anti conservative bias, and by

538
00:33:26,720 --> 00:33:29,560
Speaker 1: that they usually people will point to like, oh, look,

539
00:33:30,080 --> 00:33:34,200
Speaker 1: this random conservative got their Twitter account suspended because they

540
00:33:34,240 --> 00:33:37,360
Speaker 1: tweeted something that broke the rules or something that didn't

541
00:33:37,360 --> 00:33:39,760
Speaker 1: break the rules, but it just got swept up, and

542
00:33:39,960 --> 00:33:42,160
Speaker 1: so you get all of that kind of mixed in there.

543
00:33:42,200 --> 00:33:46,200
Speaker 1: But the difference is when when a conservative account gets

544
00:33:46,520 --> 00:33:49,760
Speaker 1: gets suspended by Twitter, what you then get the next

545
00:33:49,840 --> 00:33:52,520
Speaker 1: days you get Fox News putting that person on and

546
00:33:52,560 --> 00:33:56,080
Speaker 1: being like, tell me how Twitter persecuted you personally. And

547
00:33:56,360 --> 00:33:59,320
Speaker 1: it's the same thing that they do with with Facebook too.

548
00:33:59,720 --> 00:34:03,560
Speaker 1: In sen you kind of saw Facebook freak out because

549
00:34:03,680 --> 00:34:07,520
Speaker 1: there was an article Gizmoto published that said the Facebook

550
00:34:07,840 --> 00:34:11,600
Speaker 1: apparently sensors right wing content or a one of their

551
00:34:11,600 --> 00:34:15,640
Speaker 1: former moderators said that, and so so you had that,

552
00:34:15,680 --> 00:34:20,319
Speaker 1: and then immediately Zuckerberg freaks out invites like all of

553
00:34:20,400 --> 00:34:24,960
Speaker 1: the worst people on the right to Facebook to find

554
00:34:25,000 --> 00:34:27,239
Speaker 1: out what he can do to help them. You know,

555
00:34:27,320 --> 00:34:29,000
Speaker 1: the rest is kind of history. They got rid of

556
00:34:29,000 --> 00:34:32,200
Speaker 1: the people who were curating the trending section, so suddenly

557
00:34:32,320 --> 00:34:36,520
Speaker 1: the trending topics ended up having totally fake stories. You know,

558
00:34:36,560 --> 00:34:38,720
Speaker 1: back in the day when we used to when fake

559
00:34:38,800 --> 00:34:44,719
Speaker 1: news meant like actual, fabricated, invented stories rather than just

560
00:34:44,800 --> 00:34:47,560
Speaker 1: content we don't like. So yeah, you know, you had

561
00:34:47,560 --> 00:34:51,280
Speaker 1: like stories that were like Megan Kelly endorses Hillary Clinton,

562
00:34:51,480 --> 00:34:54,840
Speaker 1: the Pope endorses Donald Trump, like none of those. Yeah,

563
00:34:54,920 --> 00:34:56,839
Speaker 1: so you know, Twitter is kind of the same. They

564
00:34:56,880 --> 00:34:59,680
Speaker 1: do the same thing where they complain and they whine,

565
00:35:00,080 --> 00:35:04,200
Speaker 1: they say, oh, it's biased against us because no one

566
00:35:04,320 --> 00:35:07,400
Speaker 1: saw my my tweets this week. All that's going to

567
00:35:07,520 --> 00:35:09,560
Speaker 1: happen here, I think, is that it's just going to

568
00:35:09,680 --> 00:35:11,640
Speaker 1: kind of keep going more and more to the right,

569
00:35:12,239 --> 00:35:16,440
Speaker 1: and it's it's just gonna slowly, I think, become unusable,

570
00:35:16,560 --> 00:35:18,480
Speaker 1: especially if he makes the kind of cuts that he

571
00:35:18,560 --> 00:35:24,280
Speaker 1: wants to make. Like people say they want total, unrestrained

572
00:35:24,320 --> 00:35:29,319
Speaker 1: free speech, but if you actually look at like, you know,

573
00:35:29,360 --> 00:35:33,080
Speaker 1: what Musk originally said was that he wanted speech that was,

574
00:35:33,760 --> 00:35:36,640
Speaker 1: you know, in line with whatever the law says, so

575
00:35:36,760 --> 00:35:40,160
Speaker 1: anything that you could legally say should be allowed on Twitter.

576
00:35:40,239 --> 00:35:42,239
Speaker 1: That was his original point before we tried to walk

577
00:35:42,280 --> 00:35:44,680
Speaker 1: it back earlier. And if you look at that, I

578
00:35:44,680 --> 00:35:49,279
Speaker 1: mean that's four chan that which is kind of not

579
00:35:49,360 --> 00:35:52,480
Speaker 1: kind of it is a cess pool, and it's okay

580
00:35:52,520 --> 00:35:55,600
Speaker 1: for cess pools to exist on the Internet. I just

581
00:35:55,640 --> 00:35:58,760
Speaker 1: don't you know, advertisers won't want to put their ads.

582
00:35:58,800 --> 00:36:01,279
Speaker 1: You know, look, if you look at for Chance, they're

583
00:36:01,280 --> 00:36:04,400
Speaker 1: not exactly getting the big brand names buying at space

584
00:36:04,440 --> 00:36:07,719
Speaker 1: on there. It's so funny because it's like I think

585
00:36:07,840 --> 00:36:10,080
Speaker 1: that Kanye is a really good example of this. So

586
00:36:10,680 --> 00:36:15,719
Speaker 1: Kanye said something anti semitic, all his advertisers dropped him.

587
00:36:15,760 --> 00:36:20,440
Speaker 1: A week before that, Donald Trump tweeted, Jews better watch

588
00:36:20,480 --> 00:36:23,400
Speaker 1: out and be more grateful about what I've done for Israel,

589
00:36:23,640 --> 00:36:26,359
Speaker 1: or out before it's too late, Right before it's too late.

590
00:36:27,200 --> 00:36:31,600
Speaker 1: Pretty fucking anti semitic. Bardy was silent, like, so does

591
00:36:31,640 --> 00:36:35,120
Speaker 1: that mean that corporations? I mean, obviously I understand this

592
00:36:35,160 --> 00:36:38,160
Speaker 1: is about losing money, but like I felt like there

593
00:36:38,160 --> 00:36:40,399
Speaker 1: were a lot of times in the Trump administration where

594
00:36:40,800 --> 00:36:44,080
Speaker 1: the sort of third the only kind of third rail

595
00:36:44,200 --> 00:36:48,640
Speaker 1: we had, was that corporations were worried about bad publicity. Yeah,

596
00:36:48,680 --> 00:36:51,400
Speaker 1: and this is something that I wrote about recently. You know,

597
00:36:51,480 --> 00:36:54,080
Speaker 1: the past several years, there's been a big focus on

598
00:36:54,600 --> 00:36:58,239
Speaker 1: cancel culture. That's been kind of everything everywhere. And it

599
00:36:58,400 --> 00:37:02,120
Speaker 1: started when people started to talking about that. They were like, oh, yeah,

600
00:37:02,280 --> 00:37:04,319
Speaker 1: should someone be fired for a tweet they sent a

601
00:37:04,320 --> 00:37:07,000
Speaker 1: decade ago? Probably not, you know, like that was kind

602
00:37:07,000 --> 00:37:10,240
Speaker 1: of the original idea, but then it's sort of morphed

603
00:37:10,239 --> 00:37:13,880
Speaker 1: into you know, this this belief that you should be

604
00:37:13,920 --> 00:37:15,959
Speaker 1: able to say or do whatever you want not face

605
00:37:16,080 --> 00:37:19,160
Speaker 1: any negative consequences. Now of course you could. You could

606
00:37:19,160 --> 00:37:22,760
Speaker 1: receive positive consequences for something you say. You could gain

607
00:37:22,800 --> 00:37:26,520
Speaker 1: followers and gain friends and gain endorsements. But oh no,

608
00:37:26,640 --> 00:37:30,440
Speaker 1: nothing negative you say should ever hurt your career or

609
00:37:30,480 --> 00:37:34,440
Speaker 1: anything like that. And so it just sort of functioned

610
00:37:34,480 --> 00:37:38,200
Speaker 1: as a way for people to say and do whatever

611
00:37:38,239 --> 00:37:41,560
Speaker 1: they want, which isn't necessarily a bad thing. But you

612
00:37:41,680 --> 00:37:45,279
Speaker 1: end up with Kanye West ranting and about all sorts

613
00:37:45,320 --> 00:37:47,680
Speaker 1: of nonsense. I mean, I've been watching some of the

614
00:37:47,719 --> 00:37:50,200
Speaker 1: Look Longer interviews he's done recently, and it's it's just

615
00:37:50,280 --> 00:37:53,200
Speaker 1: all over the place, and he doesn't seem to get

616
00:37:53,239 --> 00:37:56,359
Speaker 1: that what he's saying is wrong or bad. But yeah,

617
00:37:56,440 --> 00:37:59,200
Speaker 1: there's this there there. There was this thing leading up

618
00:37:59,200 --> 00:38:01,920
Speaker 1: to the twenties six team election. You had you know,

619
00:38:02,000 --> 00:38:04,920
Speaker 1: remember when when the Access Hollywood tape came out and

620
00:38:04,960 --> 00:38:08,239
Speaker 1: you had Tic TACs putting out a statement being like,

621
00:38:08,640 --> 00:38:12,600
Speaker 1: we do not condone this. The tic Tac brand should

622
00:38:12,680 --> 00:38:15,960
Speaker 1: not be associated with this, you know, which is hilarious.

623
00:38:16,400 --> 00:38:18,720
Speaker 1: It's sad, but you know, and the same thing happened

624
00:38:18,719 --> 00:38:23,120
Speaker 1: when Donald Trump Junior we did a meme that was skittles, yeah,

625
00:38:23,160 --> 00:38:27,399
Speaker 1: comparing asylum seekers and and migrants to Skittles, you know, like, well,

626
00:38:27,440 --> 00:38:30,080
Speaker 1: what if one of these skittles was was a terrorist

627
00:38:30,200 --> 00:38:33,360
Speaker 1: and skittles had to be like skittles or candy, not

628
00:38:33,360 --> 00:38:37,040
Speaker 1: not people. You know, so this sort of thing. Before

629
00:38:37,080 --> 00:38:40,560
Speaker 1: Trump won, I feel like that brands were like, yes, this,

630
00:38:40,760 --> 00:38:43,759
Speaker 1: we have a line. It's fairly clear. If you say

631
00:38:43,800 --> 00:38:46,960
Speaker 1: something or do something that doesn't kind of that that

632
00:38:47,080 --> 00:38:50,800
Speaker 1: hurts us in any way, we're going to cut ties.

633
00:38:51,040 --> 00:38:54,719
Speaker 1: And that's that's why people who are spokespeople for organizations

634
00:38:54,800 --> 00:38:59,640
Speaker 1: or companies tend to be fairly middle of the road,

635
00:39:00,160 --> 00:39:05,960
Speaker 1: kind of non controversial type people, not like bomb throwers.

636
00:39:06,120 --> 00:39:09,400
Speaker 1: They want to avoid controversy because no one wants you

637
00:39:09,440 --> 00:39:13,440
Speaker 1: to go, oh cool those shoes, the ones that that

638
00:39:13,440 --> 00:39:16,560
Speaker 1: that the Nazi promotes, you know, like like something like that.

639
00:39:16,640 --> 00:39:19,319
Speaker 1: You know. I think trump selection kind of kind of

640
00:39:19,400 --> 00:39:24,360
Speaker 1: changed the calculus there, and it maybe possibly is starting

641
00:39:24,400 --> 00:39:27,160
Speaker 1: to come back in a in a small way. But

642
00:39:27,280 --> 00:39:30,760
Speaker 1: obviously there was there was really great Washington Post column

643
00:39:30,760 --> 00:39:33,719
Speaker 1: about this bike. Karen wrote it, Oh yeah, yeah, yeah,

644
00:39:33,920 --> 00:39:37,440
Speaker 1: no I know her at yeah yeah yeah, I think

645
00:39:37,440 --> 00:39:40,160
Speaker 1: I'm butcher her name. Yeah, I'm so sorry, Karen. I

646
00:39:40,480 --> 00:39:43,000
Speaker 1: love your work. If you if you're listening to Yeah

647
00:39:43,040 --> 00:39:46,120
Speaker 1: she's a genius. Yeah, but she had she had a

648
00:39:46,160 --> 00:39:49,360
Speaker 1: great column that kind of talked about this about how

649
00:39:49,600 --> 00:39:53,080
Speaker 1: what Kanye is seeing is one thing, but the fact

650
00:39:53,160 --> 00:39:56,200
Speaker 1: that when a white dude will will say something that

651
00:39:56,400 --> 00:40:00,120
Speaker 1: is racist or anti semitic, it's at a t t

652
00:40:00,400 --> 00:40:04,560
Speaker 1: I h yes, continued, Sorry, yeah, so that you know,

653
00:40:04,680 --> 00:40:07,160
Speaker 1: that's just kind of the I thought it was an

654
00:40:07,200 --> 00:40:09,520
Speaker 1: interesting point she made that where it was like, Okay, yeah,

655
00:40:09,560 --> 00:40:12,600
Speaker 1: everyone can kind of dump on Kanye. And part of

656
00:40:12,640 --> 00:40:16,440
Speaker 1: it is that once one brand makes this sort of decision,

657
00:40:16,480 --> 00:40:19,480
Speaker 1: the rest have the sort of cover they need to

658
00:40:19,640 --> 00:40:22,520
Speaker 1: follow through. That's sort of what you saw like after

659
00:40:22,600 --> 00:40:26,120
Speaker 1: January six when Twitter suspended Trump and then Facebook was

660
00:40:26,160 --> 00:40:27,719
Speaker 1: like okay, yeah, we're going to do it too, and

661
00:40:27,840 --> 00:40:30,319
Speaker 1: you know, it's it provides that sort of level of

662
00:40:30,360 --> 00:40:34,319
Speaker 1: cover that they need to not do anything controversial to

663
00:40:34,400 --> 00:40:38,160
Speaker 1: not alienate people. It's interesting to me because I feel

664
00:40:38,200 --> 00:40:43,680
Speaker 1: like you have a situation where Jerry Fallwow is less

665
00:40:43,760 --> 00:40:48,719
Speaker 1: moral right than skittles or tic TACs were a great

666
00:40:48,719 --> 00:40:53,200
Speaker 1: example of tic TACs, right, Jerry Fallwell Jr. Was stuck

667
00:40:53,239 --> 00:40:57,920
Speaker 1: with Trump after that Access Hollywood tape came out, but

668
00:40:58,360 --> 00:41:01,719
Speaker 1: tic tax did not, right, So tic TACs have the

669
00:41:01,800 --> 00:41:05,279
Speaker 1: moral high ground over a liberty university. Yeah, you know,

670
00:41:05,360 --> 00:41:10,120
Speaker 1: I'm let's give tax free status of a church. Incredible step.

671
00:41:10,600 --> 00:41:13,160
Speaker 1: Part of that, I think has to do with, um,

672
00:41:13,200 --> 00:41:16,960
Speaker 1: the sort of you know, it's not an entirely unreasonable

673
00:41:17,320 --> 00:41:21,120
Speaker 1: view of politics to be like, hey, so and so

674
00:41:21,280 --> 00:41:23,640
Speaker 1: did something that that I strongly disagree with. But I

675
00:41:23,640 --> 00:41:26,120
Speaker 1: think that as far as policy is concerned, which is

676
00:41:26,160 --> 00:41:29,840
Speaker 1: what elections are about, to me personally, used to be Yeah,

677
00:41:30,040 --> 00:41:32,919
Speaker 1: I can understand why someone like Jerry fault Wall would

678
00:41:32,920 --> 00:41:34,919
Speaker 1: be like, yeah, I'm going to stick with Trump even

679
00:41:34,920 --> 00:41:37,799
Speaker 1: though he's the he's a horrible person, because he'll get

680
00:41:37,800 --> 00:41:39,960
Speaker 1: the policies that I want through, you know, And I

681
00:41:39,960 --> 00:41:42,000
Speaker 1: think that that happens a lot in a lot of races.

682
00:41:42,080 --> 00:41:45,160
Speaker 1: You know, That's why people justified voting for Roy Moore

683
00:41:45,680 --> 00:41:48,960
Speaker 1: and herschel Walker and all of these. And it's not

684
00:41:49,000 --> 00:41:53,720
Speaker 1: necessarily a wrong way to think about politics as a whole.

685
00:41:53,840 --> 00:41:55,920
Speaker 1: But at the same time, it's a little scary that

686
00:41:55,960 --> 00:41:58,880
Speaker 1: there doesn't seem to be any real penalty for being

687
00:41:59,440 --> 00:42:02,800
Speaker 1: horrible at this point, whereas like a business like Skittles

688
00:42:03,040 --> 00:42:07,520
Speaker 1: doesn't have those sorts of political calculations involved. Doesn't have

689
00:42:07,600 --> 00:42:10,359
Speaker 1: to be like, well, I don't know, we really care

690
00:42:10,360 --> 00:42:13,160
Speaker 1: about abortion, you know, like that's just not something that

691
00:42:13,200 --> 00:42:15,719
Speaker 1: factors in. So I kind of get that, But at

692
00:42:15,719 --> 00:42:17,360
Speaker 1: the same time, yeah, it's kind of kind of a

693
00:42:17,360 --> 00:42:20,399
Speaker 1: sad statement that that skittles me may have the moral

694
00:42:20,480 --> 00:42:24,840
Speaker 1: high ground here. I want to talk to you about

695
00:42:25,160 --> 00:42:28,200
Speaker 1: one of the things that's happened in these mid terms,

696
00:42:28,600 --> 00:42:32,040
Speaker 1: and it's become a big trope in the Republican Party

697
00:42:32,520 --> 00:42:36,120
Speaker 1: is attacking trans people. I think a lot As a Jew,

698
00:42:36,719 --> 00:42:40,000
Speaker 1: it strikes me as a lot like what happened is

699
00:42:40,560 --> 00:42:44,160
Speaker 1: what happened with Jews, you know, where they've decided that

700
00:42:44,200 --> 00:42:48,239
Speaker 1: there's a good group to target. And I'm curious we

701
00:42:48,520 --> 00:42:53,640
Speaker 1: Abigail Spamburger. There was an anti Abigail Spamburger ad. I'm curious, Like,

702
00:42:53,880 --> 00:42:55,759
Speaker 1: I can't imagine what it's like to live through this

703
00:42:55,840 --> 00:43:00,320
Speaker 1: election cycle. Honestly, it's because you know, for anyone in

704
00:43:00,320 --> 00:43:03,760
Speaker 1: the audience who doesn't know, I'm trance, So it's very

705
00:43:03,800 --> 00:43:06,680
Speaker 1: difficult for me. So when I when I was working

706
00:43:06,719 --> 00:43:09,239
Speaker 1: at Media Matters, which is where I was before I

707
00:43:09,239 --> 00:43:13,319
Speaker 1: started started my newsletter, I would read through the transcripts

708
00:43:13,360 --> 00:43:16,120
Speaker 1: of Tucker Carlson's show. Every night I would read through

709
00:43:16,160 --> 00:43:18,560
Speaker 1: the transcripts of Sean Hannity Show, and a lot of

710
00:43:18,560 --> 00:43:20,239
Speaker 1: this stuff has been bubbling up on the right for

711
00:43:20,239 --> 00:43:22,359
Speaker 1: a long time, and it was getting to me. It

712
00:43:22,400 --> 00:43:25,080
Speaker 1: was eating away at me because you know, it's it's

713
00:43:25,160 --> 00:43:29,200
Speaker 1: difficult to sit through, you know, all the segments where

714
00:43:29,680 --> 00:43:32,759
Speaker 1: it's just people speaking to an audience of two or

715
00:43:32,800 --> 00:43:37,040
Speaker 1: three million people telling them like, hey, this group, there

716
00:43:37,080 --> 00:43:39,759
Speaker 1: are a bunch of freaks. They shouldn't be accepted in society,

717
00:43:39,840 --> 00:43:43,960
Speaker 1: you know, which is essentially their their message. And in

718
00:43:44,160 --> 00:43:48,040
Speaker 1: ten I was working on a on a story about

719
00:43:48,280 --> 00:43:51,959
Speaker 1: what I called Tucker Carlson's local news Broadcast from Hell,

720
00:43:52,320 --> 00:43:57,080
Speaker 1: and that was basically, he curates the weirdest stories from

721
00:43:57,120 --> 00:44:00,520
Speaker 1: around the country and turns them into national news stories

722
00:44:00,600 --> 00:44:04,880
Speaker 1: where it's just examples of of liberal overreach. That was

723
00:44:04,960 --> 00:44:08,160
Speaker 1: kind of the the idea there. And so what he

724
00:44:08,239 --> 00:44:11,279
Speaker 1: what he creates is like, it's an hour long of look,

725
00:44:11,480 --> 00:44:13,440
Speaker 1: look look at what the liberals are doing in this country,

726
00:44:13,520 --> 00:44:16,040
Speaker 1: look at all look at how how terrible things are.

727
00:44:16,440 --> 00:44:21,320
Speaker 1: And no one in no one on TV talked about

728
00:44:21,560 --> 00:44:24,680
Speaker 1: mentioned trans people more than Tucker Carlson. There's no no

729
00:44:24,719 --> 00:44:26,920
Speaker 1: one on the left, there is no one in mainstream

730
00:44:26,960 --> 00:44:30,799
Speaker 1: media who does that. Tucker Carlson talked about trans people,

731
00:44:30,840 --> 00:44:34,480
Speaker 1: brought trans trans issues up more than any other person

732
00:44:34,760 --> 00:44:38,040
Speaker 1: on TV in that year, and I haven't checked since,

733
00:44:38,080 --> 00:44:42,000
Speaker 1: but he still covers this NonStop. And so part of

734
00:44:42,040 --> 00:44:45,120
Speaker 1: his argument is the left is obsessed with this topic.

735
00:44:45,200 --> 00:44:48,280
Speaker 1: The left can't stop talking about this topic. As he

736
00:44:48,680 --> 00:44:53,120
Speaker 1: is single handedly fueling an international discourse. It's very frustrating

737
00:44:53,120 --> 00:44:57,400
Speaker 1: and it's very difficult because after after the marriage equality

738
00:44:57,440 --> 00:45:01,120
Speaker 1: decision by the Supreme Court, a lot of the anti marriage,

739
00:45:01,360 --> 00:45:07,120
Speaker 1: anti LGBT groups kind of regrouped and they rethought their process,

740
00:45:07,160 --> 00:45:10,280
Speaker 1: and they rethought their targets and they went trans people,

741
00:45:10,360 --> 00:45:12,839
Speaker 1: we can go after trans people. And so they have

742
00:45:13,280 --> 00:45:17,560
Speaker 1: and they've been aggressive with it. And it's scary because

743
00:45:17,760 --> 00:45:20,920
Speaker 1: as they're going state by state passing laws, you know,

744
00:45:20,960 --> 00:45:25,040
Speaker 1: and in various states banning trans people from participating in sports,

745
00:45:25,440 --> 00:45:30,719
Speaker 1: making it so trans students can't have access to, you know,

746
00:45:30,840 --> 00:45:35,000
Speaker 1: locker rooms, or won't be acknowledged by their their name

747
00:45:35,719 --> 00:45:38,160
Speaker 1: or what have you, you know, and and all of

748
00:45:38,160 --> 00:45:40,640
Speaker 1: these come with their own justifications to that make it

749
00:45:40,680 --> 00:45:43,280
Speaker 1: hard to hard to argue with because back in the spring,

750
00:45:43,400 --> 00:45:45,120
Speaker 1: it was no, no, no, no, Look, we don't have

751
00:45:45,160 --> 00:45:48,400
Speaker 1: any problems with trans people. We just really care about

752
00:45:48,400 --> 00:45:51,719
Speaker 1: the integrity of women's sports. One was sports that was

753
00:45:51,760 --> 00:45:55,800
Speaker 1: the most Yeah, yeah, we just love We're so feminist.

754
00:45:55,960 --> 00:45:58,839
Speaker 1: We just care so much about women's sports. Yeah, if

755
00:45:58,840 --> 00:46:01,360
Speaker 1: someone wants to talk ab out trans people in sports,

756
00:46:01,400 --> 00:46:04,920
Speaker 1: I think that that's actually something where there there is

757
00:46:05,640 --> 00:46:08,200
Speaker 1: room for. And this is just my opinion, but I

758
00:46:08,239 --> 00:46:10,920
Speaker 1: think that there is room for some sort of compromise

759
00:46:10,960 --> 00:46:14,120
Speaker 1: on that. But it wasn't about sports. It It was

760
00:46:14,160 --> 00:46:17,479
Speaker 1: never about that because the people who were saying, look,

761
00:46:17,520 --> 00:46:19,759
Speaker 1: we don't have anything against trans people, We just we

762
00:46:19,840 --> 00:46:23,239
Speaker 1: just have have an issue with sports. They were not

763
00:46:23,480 --> 00:46:27,799
Speaker 1: like signing onto bills that protected trans people from discrimination

764
00:46:27,800 --> 00:46:31,840
Speaker 1: and employment and housing in public accommodations. It's not like

765
00:46:31,880 --> 00:46:34,399
Speaker 1: they were like, hey, we agree with this, but we're

766
00:46:34,400 --> 00:46:36,600
Speaker 1: going to create a sports carve out Like that would

767
00:46:36,600 --> 00:46:38,920
Speaker 1: be one thing. But I guarantee if you presented them

768
00:46:39,000 --> 00:46:41,439
Speaker 1: with that bill, if you presented Ted Cruise with a bill,

769
00:46:41,480 --> 00:46:44,680
Speaker 1: that would Although he's been pretty vocal about just not

770
00:46:44,800 --> 00:46:48,120
Speaker 1: liking trans people generally, so he's a bad example, but

771
00:46:48,320 --> 00:46:50,680
Speaker 1: you get the idea where where these are not people

772
00:46:50,680 --> 00:46:55,200
Speaker 1: who otherwise support trans trans people. So it's shifted from

773
00:46:55,239 --> 00:46:57,520
Speaker 1: you know, we're just really concerned about women sports and

774
00:46:57,600 --> 00:47:00,520
Speaker 1: integrity of that and all of this stuff with when

775
00:47:00,560 --> 00:47:02,400
Speaker 1: you think about the fact that they're applying that to

776
00:47:02,640 --> 00:47:06,680
Speaker 1: bills that deal with kindergarten through twelfth grade, I mean,

777
00:47:06,920 --> 00:47:08,640
Speaker 1: it's it's one thing. If you want to talk about

778
00:47:08,680 --> 00:47:13,000
Speaker 1: like hey, n C, double A, Olympics, professional sports, sure

779
00:47:13,160 --> 00:47:15,600
Speaker 1: talk about those things. But when they're trying to apply

780
00:47:15,640 --> 00:47:18,520
Speaker 1: it to like second graders, they really show their hand

781
00:47:18,800 --> 00:47:21,160
Speaker 1: because at that point, no, no one in second grade

782
00:47:21,200 --> 00:47:25,000
Speaker 1: has an advantage one way or another. But it's about

783
00:47:25,239 --> 00:47:28,239
Speaker 1: setting up that wedge to to go, okay, now that

784
00:47:28,239 --> 00:47:31,080
Speaker 1: we've now that we've moved them from from sports, now

785
00:47:31,120 --> 00:47:35,200
Speaker 1: we need to find a way to remove them from schools.

786
00:47:35,280 --> 00:47:38,600
Speaker 1: And so then they tell the students, you have to

787
00:47:38,680 --> 00:47:40,919
Speaker 1: use the restroom that corresponds with whatever is on your

788
00:47:41,239 --> 00:47:44,719
Speaker 1: original birth certificate. And that's another thing that they've been

789
00:47:44,760 --> 00:47:47,680
Speaker 1: working in the word original into a lot of their

790
00:47:47,760 --> 00:47:51,120
Speaker 1: legislation that they're trying to pass, because in some states

791
00:47:51,160 --> 00:47:54,080
Speaker 1: it is possible to update your birth certificate. My my

792
00:47:54,120 --> 00:47:57,080
Speaker 1: birth certificate says female, My driver's license says female, my

793
00:47:57,120 --> 00:48:00,120
Speaker 1: passport says female. But that's not what my origin, no

794
00:48:00,200 --> 00:48:02,799
Speaker 1: birth certificate said. It's a pain to update these things

795
00:48:02,840 --> 00:48:04,839
Speaker 1: and no one's just like doing it for fun. And

796
00:48:04,960 --> 00:48:09,440
Speaker 1: this comes a few years after their argument was no, no, no,

797
00:48:09,520 --> 00:48:12,600
Speaker 1: we don't have anything against trans people, but we, uh,

798
00:48:12,719 --> 00:48:14,959
Speaker 1: we worry about what happens if if people who aren't

799
00:48:14,960 --> 00:48:18,040
Speaker 1: trans go in restrooms and attack people. You know, that

800
00:48:18,120 --> 00:48:20,880
Speaker 1: was that was a big thing. So that's where the okay,

801
00:48:20,960 --> 00:48:24,680
Speaker 1: well what about people who have who have gone through surgeries,

802
00:48:24,880 --> 00:48:28,040
Speaker 1: been on hormone replacement therapy for years? You know what?

803
00:48:28,040 --> 00:48:30,920
Speaker 1: What about this? And they've taken all these extra steps

804
00:48:30,920 --> 00:48:33,400
Speaker 1: and it's not just someone busting into a bathroom to

805
00:48:33,440 --> 00:48:35,719
Speaker 1: attack someone and they don't know. We don't like that either,

806
00:48:36,600 --> 00:48:40,239
Speaker 1: right in my mind, as someone who's like comes from

807
00:48:40,480 --> 00:48:43,440
Speaker 1: Jewish parents and grandparents, like, it just seems to me

808
00:48:43,640 --> 00:48:46,640
Speaker 1: like a way to try to otherise a group in

809
00:48:46,840 --> 00:48:50,520
Speaker 1: order to have something to run against, you know, and

810
00:48:50,560 --> 00:48:54,359
Speaker 1: like it just strikes me that everything they've argued has

811
00:48:54,400 --> 00:48:56,640
Speaker 1: always been in bad faith and it continues to be.

812
00:48:57,480 --> 00:49:00,719
Speaker 1: It's so frustrating, and it's hurtful, and it takes a

813
00:49:00,760 --> 00:49:03,160
Speaker 1: toll on me. I don't like writing about trans issues.

814
00:49:03,320 --> 00:49:06,759
Speaker 1: I don't like writing about LGBT issues generally. I did

815
00:49:06,760 --> 00:49:08,920
Speaker 1: that for a while when I was first trying to

816
00:49:08,960 --> 00:49:11,200
Speaker 1: make a living as a writer. I wrote a lot

817
00:49:11,239 --> 00:49:14,719
Speaker 1: about these issues because a there weren't many people doing that,

818
00:49:15,280 --> 00:49:18,240
Speaker 1: and be when they were, they were writing in really

819
00:49:18,400 --> 00:49:20,839
Speaker 1: insulting kind of ways. So my my goal was, like,

820
00:49:21,160 --> 00:49:22,799
Speaker 1: I'm going to try to put things out there that

821
00:49:23,040 --> 00:49:25,920
Speaker 1: the frame this in a more humane way. Then in

822
00:49:25,960 --> 00:49:28,120
Speaker 1: the in the year sense, I tried to branch out,

823
00:49:28,200 --> 00:49:30,759
Speaker 1: tried to kind of avoid being I guess, you know,

824
00:49:31,040 --> 00:49:34,600
Speaker 1: typecast as as the writer who only covers this stuff.

825
00:49:34,640 --> 00:49:37,520
Speaker 1: And so, you know, I started pitching stories various places

826
00:49:37,560 --> 00:49:41,600
Speaker 1: about politics or media, and media kind of became the

827
00:49:41,600 --> 00:49:46,040
Speaker 1: the big focus for me, you know, analyzing media and

828
00:49:46,239 --> 00:49:48,239
Speaker 1: trying to think about how to improve it and that

829
00:49:48,360 --> 00:49:50,680
Speaker 1: sort of stuff. But with the way things have been,

830
00:49:50,760 --> 00:49:53,640
Speaker 1: it's it's hard not to see this through the lens

831
00:49:53,719 --> 00:49:57,480
Speaker 1: of my own personal fears and frustrations, because that's what

832
00:49:57,600 --> 00:50:00,560
Speaker 1: it comes down to. It's I'm really a afraid about

833
00:50:00,560 --> 00:50:03,919
Speaker 1: what happens in the next five to ten years. Right now,

834
00:50:04,000 --> 00:50:07,839
Speaker 1: I'm personally safe. I live in Chicago. I mean, that's

835
00:50:07,880 --> 00:50:10,520
Speaker 1: that's about as safe as can be. I mean, the

836
00:50:10,560 --> 00:50:14,480
Speaker 1: Republican candidate for governor is probably going to lose, but

837
00:50:14,560 --> 00:50:18,800
Speaker 1: he's pretty extreme. He's he's very anti trans, very anti

838
00:50:18,920 --> 00:50:22,200
Speaker 1: LGBT generally. But you know, he's not going to win

839
00:50:22,280 --> 00:50:25,200
Speaker 1: this time. What I worry about is what happens when

840
00:50:25,680 --> 00:50:29,040
Speaker 1: the right keeps fighting this, this same culture war, keeps

841
00:50:29,239 --> 00:50:33,040
Speaker 1: trying to essentially push trans people out of public life.

842
00:50:33,080 --> 00:50:34,640
Speaker 1: I mean, if if you make it a law where

843
00:50:34,680 --> 00:50:38,480
Speaker 1: trans people can't use restrooms that correspond with their gender identity,

844
00:50:38,520 --> 00:50:40,840
Speaker 1: what you're telling them is that every time they're in

845
00:50:40,920 --> 00:50:43,520
Speaker 1: public and they happen to have to use the restroom,

846
00:50:44,080 --> 00:50:46,480
Speaker 1: they need to out themselves as trans to every single

847
00:50:46,520 --> 00:50:49,880
Speaker 1: person who can see the restroom door. It's it's dangerous

848
00:50:50,120 --> 00:50:53,080
Speaker 1: and it's it's scary, it's dehumanizing it. Yeah, no, it's

849
00:50:53,120 --> 00:50:55,360
Speaker 1: set up that way. Tell us what the name of

850
00:50:55,400 --> 00:50:58,200
Speaker 1: the newsletter is and where people can find out. Absolutely.

851
00:50:58,320 --> 00:51:01,640
Speaker 1: So the newsletter is called present Age, and you can

852
00:51:02,080 --> 00:51:07,400
Speaker 1: find that at read t p A. Read the present Age.

853
00:51:07,560 --> 00:51:11,040
Speaker 1: So read t p A dot com. Yeah, thank you

854
00:51:11,200 --> 00:51:13,480
Speaker 1: so much. Thanks so much for having me. Molly, I

855
00:51:13,520 --> 00:51:23,879
Speaker 1: really appreciate it. No, I really appreciate you. And g

856
00:51:24,000 --> 00:51:28,040
Speaker 1: d P expanded by two point six percent, reversing a

857
00:51:28,160 --> 00:51:33,320
Speaker 1: six month slump. Molly Jung Fast, Jesse Cannon, this Rhona

858
00:51:33,360 --> 00:51:37,759
Speaker 1: woman not a fan. And you may know this. There

859
00:51:37,960 --> 00:51:43,040
Speaker 1: was a Pennsylvania Senate debate between Dr mehmet Oz and

860
00:51:43,600 --> 00:51:47,799
Speaker 1: John Fetterman. And John Fetterman has had a stroke and

861
00:51:47,880 --> 00:51:51,600
Speaker 1: has some auditory processing issues. He was on this podcast

862
00:51:51,760 --> 00:51:54,720
Speaker 1: a few weeks ago. You know, he had some answers

863
00:51:54,760 --> 00:51:57,120
Speaker 1: where he was stuttering. He had some answers where he

864
00:51:57,200 --> 00:52:01,840
Speaker 1: wasn't stuttering. The same people who are defending herschel Walker

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00:52:02,400 --> 00:52:07,840
Speaker 1: as being completely fine are furious and believe that John

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00:52:07,880 --> 00:52:11,000
Speaker 1: Fetterman is not fit to serve in the United States

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Speaker 1: Senate because they haven't seen the United States it But anyway, no,

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00:52:15,440 --> 00:52:19,560
Speaker 1: that's not the point. But yeah, Republicans are very mad

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00:52:19,600 --> 00:52:21,920
Speaker 1: at Fetterman and do not want him in the Senate,

870
00:52:21,960 --> 00:52:25,120
Speaker 1: though they do think herschel Walker will be a fine senator.

871
00:52:25,360 --> 00:52:29,800
Speaker 1: On the radio show of One Hugh Hewitt, he had

872
00:52:30,040 --> 00:52:35,400
Speaker 1: Rona McDaniel on, and she is the RNC chair but

873
00:52:35,520 --> 00:52:39,279
Speaker 1: she's also for those of you who remember she was

874
00:52:39,320 --> 00:52:42,360
Speaker 1: forced to change her name, she is Mitt Romney's niece.

875
00:52:42,719 --> 00:52:46,279
Speaker 1: So basically, she was making fun of Fetterman for his

876
00:52:46,360 --> 00:52:52,239
Speaker 1: stroke and making fun of Biden because they all are

877
00:52:52,440 --> 00:52:55,799
Speaker 1: very obsessed with this idea that Biden is not with it,

878
00:52:55,880 --> 00:52:59,840
Speaker 1: and that her line was, I think all the candidates

879
00:52:59,840 --> 00:53:01,759
Speaker 1: got together and said which one of us has to

880
00:53:01,880 --> 00:53:07,279
Speaker 1: campaign with Biden? And Fetterman drew the short straw hilarious

881
00:53:07,360 --> 00:53:10,560
Speaker 1: and then also she said, so Biden said, between the

882
00:53:10,640 --> 00:53:13,160
Speaker 1: two of us, we may be able to finish a sentence.

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00:53:13,520 --> 00:53:15,719
Speaker 1: I want to point out this is a piece in

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00:53:15,760 --> 00:53:18,399
Speaker 1: the Washington Post that just sum this up. But my

885
00:53:18,520 --> 00:53:22,200
Speaker 1: favorite part of this is in the second to final paragraph.

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00:53:22,520 --> 00:53:26,000
Speaker 1: The piece says, McDaniel is not the first prominent Republican

887
00:53:26,040 --> 00:53:29,000
Speaker 1: to mock someone with a disability. During a two fifteen

888
00:53:29,040 --> 00:53:33,080
Speaker 1: campaign appearance, Donald Trump mimicked a reporter with a congenital

889
00:53:33,239 --> 00:53:38,880
Speaker 1: joint condition that limits movement in his arms. So, congratulations, Republicans,

890
00:53:39,040 --> 00:53:42,120
Speaker 1: you have like a new brand. And for that making

891
00:53:42,160 --> 00:53:47,040
Speaker 1: fun of people with disabilities, Rona Trump himself, all of

892
00:53:47,080 --> 00:53:51,480
Speaker 1: them get our moment of fun. That's it for this episode.

893
00:53:51,480 --> 00:53:55,080
Speaker 1: Of Fast Politics. Tune in every Monday, Wednesday and Friday

894
00:53:55,320 --> 00:53:57,880
Speaker 1: to hear the best minds in politics makes sense of

895
00:53:58,000 --> 00:54:01,560
Speaker 1: all this chaos. If you towards what you've heard, please

896
00:54:01,640 --> 00:54:04,120
Speaker 1: send it to a friend and keep the conversation going.

897
00:54:04,520 --> 00:54:10,080
Speaker 1: And again, thanks for listening mm HM