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Speaker 1: Welcome to Worst Year Ever, a production of I Heart

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Speaker 1: Radio Together Everything. So don't don't it's all happening here

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Speaker 1: in the Worst Year Ever. It's all happening Oaks. Hello, Hi, Hi, Wow.

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Speaker 1: What just just incredibly impressed by by that introduction Katie.

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Speaker 1: First one didn't go well, so I made the second

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Speaker 1: one even words. Yeah, I was just going to shout

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Speaker 1: out the name of Reinhardt Hydrick, one of the architects

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Speaker 1: of the Holocaust, which would have been a bad, bad

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Speaker 1: and a professional call. So thank you for really knocking

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Speaker 1: it out of the park. I'm happy. I mean, that's

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Speaker 1: a really high high bar that. I was surprised that

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Speaker 1: Katie didn't start by saying that, so yeah, I thought

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Speaker 1: about it, but I figured that was more yourifibed than mine. Uma,

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Speaker 1: But it is all happening. We were just chatting about

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Speaker 1: how all the things that have happened since we last recorded,

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Speaker 1: remarking on it, and then eased into this show where

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Speaker 1: we're going to talk about some of those things. Right. Yeah,

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Speaker 1: I love talking happening. I used to think that I

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Speaker 1: liked talking, but the more I talked my way through

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Speaker 1: this year, the less I like it. Um. If you

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Speaker 1: think you like talking started podcast and you'll change your mind. Everybody,

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Speaker 1: Let's talk about Donald Trump and his health. So for

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Speaker 1: this week, we kind of decided to talk about like

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Speaker 1: politics in the election and things happening in the country,

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Speaker 1: which I guess we we we've been we keep getting

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Speaker 1: drawn off into like very specific things because every single

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Speaker 1: thing is happening this year, and this is going to

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Speaker 1: be kind of a general update on some big things

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Speaker 1: that have occurred. So we're going to talk about the

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Speaker 1: president's taxes, and we're going to talk about COVID, and

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Speaker 1: we're going to talk about, um some other important stuff

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Speaker 1: that that we should we should have talked about a

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Speaker 1: bit earlier. But again, every single thing is happening every

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Speaker 1: single day, and we're all completely overwhelmed constantly. Yeah it's good.

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Speaker 1: I mean it's so weird doing this show and even

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Speaker 1: our news usually we have um specific episodes here for

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Speaker 1: worst year ever, or interviews, interesting conversations that separate it

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Speaker 1: from our news round up that we do every week.

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Speaker 1: But weeks like this, I'm always slightly worried and then

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Speaker 1: not worried at all, because there's always more news. It

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Speaker 1: just doesn't stop. Obviously, Um, where should we start today, then, guys,

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Speaker 1: I think we should start with you, Katie, because you

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Speaker 1: are a professional. Also, I feel like the thing that

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Speaker 1: everyone is currently thinking about, will the president die or

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Speaker 1: not die or not? Is the president alive? Still would

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Speaker 1: be currently still alive? Uh as far as we can tell,

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Speaker 1: But I'm eagerly winning Claudia Conway and her updates on

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Speaker 1: that because she's our only true journalist, I guess. Um.

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Speaker 1: But let's back up, because in case you missed it,

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Speaker 1: the president has the rhona. He has it finally. It

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Speaker 1: took long enough. I mean he maybe he had it

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Speaker 1: earlier too, but who knows. Um. All right, first we'll

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Speaker 1: do a real quick go go ahead, Cody, Oh just

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Speaker 1: I mean, you're right, it is about time. I mean,

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Speaker 1: since this pandemic started, the idea was, well, eventually he'll

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Speaker 1: get it because he's so reckless. When is that going

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Speaker 1: to happen? All the other awful leaders have also have

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Speaker 1: already had it. So it was nine times Boris almost died.

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Speaker 1: So yeah, okay. Late on Thursday, news broke that the

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Speaker 1: President tested positive coronavirus just two days after standing pretty

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Speaker 1: close proximity to Joe Biden. Anyway, This came after news

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Speaker 1: that Hope Hicks had tested positive on Wednesday. Uh. And

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Speaker 1: it seems that the president knew or at least knew

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Speaker 1: that he had been exposed to the virus at the

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Speaker 1: time of the debate. In fact, it's been reported that

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Speaker 1: he arrived late at the debate and missed the mandatory

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Speaker 1: rapid COVID tests specifically because he knew he had been exposed.

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Speaker 1: Very cool. That's my favorite part, because they went by

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Speaker 1: the honor system. I love that after four years of

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Speaker 1: this thinking that you could even say that, just like

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Speaker 1: even like taking it out of the world that we

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Speaker 1: live in and who the president is and everything, the

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Speaker 1: honor system for this deadly disease I mean, and him.

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Speaker 1: He also went on to do campaign events, potentially exposing

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Speaker 1: countless other people. Also cool. Um, It's unclear when specifically

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Speaker 1: he contracted the virus. Could have been anywhere, or it

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Speaker 1: could have been at the Rose Garden Party slash Super

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Speaker 1: Spreader events held for any Coney Barrett last week. You

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Speaker 1: know his handsmade tail pick to replace RBG. Yes, okay. Uh.

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Speaker 1: So far believe at least thirteen people at the event

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Speaker 1: have tested positive. That numbers could probably higher. Uh. That

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Speaker 1: includes Melania Kelly Anne Conway, Chris Christie, Kaylee mcanennye. Uh,

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Speaker 1: several Republican senators. Senators who are on the committee to

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Speaker 1: confirm Barrett. All of that could be its own episode

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Speaker 1: about what the implications of that alone are and what's

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Speaker 1: going to happen. But we're not going to focus on

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Speaker 1: this too much. Said that, fuck man. And this list

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Speaker 1: isn't even including the White House housekeeping staff or the

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Speaker 1: members of a secret service who have also tested positive.

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Speaker 1: I mean, we're like the White House is an epicenter um.

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Speaker 1: Then on Friday, the President was admitted to Walter Reeves Hospital,

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Speaker 1: either out of an abundance of concern or because he

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Speaker 1: was experiencing extreme symptoms. That part is unclear. Um, I

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Speaker 1: can't trust anything anyone says. But well, the one thing

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Speaker 1: we know about Donald Trump is that he's always like

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Speaker 1: taking extreme caution. Yes, he very cautious man. Then there

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Speaker 1: was all these confusing statements from his doctors throughout the weekend,

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Speaker 1: which kind of ratcheted up the mystery. Statements like he

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Speaker 1: isn't out of the woods and not currently on oxygen. Uh.

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Speaker 1: On Sunday, he did a couple of bizarre stunts like

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Speaker 1: staging photo opportunities that show him working uh while actually

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Speaker 1: looking at blink Sta stacks of paper. Uh, and these

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Speaker 1: photos were like taken. It's beautiful there do so. I

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Speaker 1: mean as a journalist, specifically one who works for Belling Cat,

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Speaker 1: there's a number of different types of data that like

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Speaker 1: images have that you look for if you're trying to

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Speaker 1: like spot people slipping up and that. One of those

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Speaker 1: obvious ones is like exit data, and you can hide

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Speaker 1: that ship very it's not to not have that ship

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Speaker 1: show through. There's ways to kind of deal with an

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Speaker 1: image that that doesn't come through if you're trying to

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Speaker 1: be this sneaky person. They went through zero effort, put

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Speaker 1: it out real fast. It's so they're so incompetent and

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Speaker 1: lazy and everything. It's maddening partly too, because it's like

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Speaker 1: are they incompetent, lazy or they do they just know

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Speaker 1: it doesn't matter, right, Like people will find out they're like,

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Speaker 1: oh yeah, this this photo, this photo, But they're just

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Speaker 1: still like living their lives. They're still doing they're still

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Speaker 1: doing all this stuff. Yeah. Uh. He also, while he

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Speaker 1: was there on Sunday, insisted on taking a ride in

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Speaker 1: his motorcade exposing his driver into secret Service just so

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Speaker 1: he could wave to fans and show that he's okay.

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Speaker 1: It turns out, however, that Trump had insisted on being

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Speaker 1: and had insisted on being released on Sunday, but they

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Speaker 1: said no and then compromised and settled for this little drive.

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Speaker 1: It's kind of like it's kind of like my aunt

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Speaker 1: Alice well I had Alzheimer's and unfortunately she had to

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Speaker 1: be placed in a home during the last years of

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Speaker 1: her life. She's really mischievous and sometimes would like hatch

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Speaker 1: up a plan to break out. Then they just bring

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Speaker 1: a cab out front and driver around. So then comes Monday, okay,

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Speaker 1: and the President announces that he would be leaving the

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Speaker 1: hospital at six thirty that evening, again apparently only because

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Speaker 1: he insisted. And look, it remains to be seen whether

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Speaker 1: he is actually okay or not. UM. I do have

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Speaker 1: a feeling he will ultimately be okay because he is

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Speaker 1: the president of the United States. He has access to everything,

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Speaker 1: um and like we don't deserve it, and like we don't.

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Speaker 1: We'll get to some of that, but it's to be clear.

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Speaker 1: He's being pumped full of experimental treatments and steroids which

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Speaker 1: can make you seem better than you are. Um, and

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Speaker 1: he's you know, accessing the very best that America has

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Speaker 1: to offer, unlike the thousand Americans who have already lost

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Speaker 1: their lives. But we don't know what will happen next

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Speaker 1: with him. His body is a rotten cesspool of fast

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Speaker 1: food and bad karmit and I don't know, I don't

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Speaker 1: think there's a vaccine for that, so it could still

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Speaker 1: come up and bite him. But what we knew know

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Speaker 1: is that he really doesn't look good. He's so palid um.

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Speaker 1: And then like, okay, he comes forward yesterday with this

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Speaker 1: just grotesque orange makeup where you could see the line

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Speaker 1: on his face. And for those of us who do makeup,

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Speaker 1: we know that that's not the look, honey, that's not

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Speaker 1: what you're going for. Um. Yeah, he looks like me

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Speaker 1: on an average day in the summer, but you are

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Speaker 1: wearing orange makeup masks. Yeah, um. But yeah, know, we

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Speaker 1: only know what his face looks like because he staggered

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Speaker 1: out onto the balcony, the Trueman balcony outside the White

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Speaker 1: House and took off his fucking mask jodas his makeup

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Speaker 1: uh and gasped out a few awful remarkable words words

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Speaker 1: like he may now be immune to it, and don't

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Speaker 1: be afraid of COVID, don't let it dominate your lives,

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Speaker 1: don't be afraid of COVID, don't let it dominate your

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Speaker 1: like this maybe, Um, yeah, this is a grotesquely offensive statement.

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Speaker 1: Of course, Oh yeah, it's extremely dangerous. And also he's

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Speaker 1: visibly and audibly still very impacted by it. He hasn't

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Speaker 1: beat it, so I didn't If he didn't take off

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Speaker 1: the mask and he was like, I'm I'm strong, I'm

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Speaker 1: doing well. I've got the mask on, welcome back me

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Speaker 1: and went in, we wouldn't have been able to see

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Speaker 1: his labored breathing. That's what I mean. But this is

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Speaker 1: just incredibly and offensive, um to so many people that

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Speaker 1: are struggling with this and irresponsible and dangerous. UM wrote

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Speaker 1: this down for later in my doc, but I haven't

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Speaker 1: gotten there, and it feels like a good time to say.

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Speaker 1: There was a New York Times article I believe that

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Speaker 1: Um talked about a study that showed that thirty seven

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Speaker 1: percent of the world's coronavirus misinformation comes from Donald Trump.

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Speaker 1: That's dounding, and so anyway, he said that, I mean,

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Speaker 1: really like hats off to him, because that's real, that's impressive,

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Speaker 1: it's poul, that's infamy. Anyway, he said those words, uh,

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Speaker 1: despite looking and sounding like that. And then Claudia Conway,

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Speaker 1: killing and Conway's daughter and the hero of a young

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Speaker 1: adult sci fi novel, apparently broke social media when she

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Speaker 1: posted guys, l M A oh he's not doing better

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Speaker 1: and quote he's so ridiculous l O L. Apparently he's

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Speaker 1: doing badly and they're doing what they can to stabilize them. So,

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Speaker 1: I don't know. Claudia has been right in the past.

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Speaker 1: Also there she's certainly in a position to have insight information.

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Speaker 1: She's also a fifteen year old who's That's the next

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Speaker 1: thing I was about to say, Look, I don't know,

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Speaker 1: she's just been accurate in the past, Like she was

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Speaker 1: accurate when she said my mom has coronavirus, but her

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Speaker 1: mom actually gave her virus, so that which is a nightmare. Yeah,

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Speaker 1: the Conway stuff, I'm like, I get get it, and

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Speaker 1: she's got its information maybe probably, but also like, yeah,

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Speaker 1: and all of it seems to be leading towards like

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Speaker 1: the reality show that the three Conways are going to do. Yeah,

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Speaker 1: I don't want to feed into it. But I appreciate

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Speaker 1: the letting us know that. President. I felt I agree

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Speaker 1: with your sentiments, all of them completely. I debated about

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Speaker 1: including this but an interesting point of information, but I

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Speaker 1: do think I do think it's important to say, like,

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Speaker 1: when we're talking about Claudia Conway, she's a child's um

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Speaker 1: and she's clearly in a toxic house situation and amount

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Speaker 1: of attention we do not need to be giving to

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Speaker 1: this family. Yeah, that's why I oh sorry, oh no, no,

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Speaker 1: please go ahead. That's why I'll push back a little

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Speaker 1: bit on that. They're clearly gunning for a reality show,

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Speaker 1: like I think George's and I think his wife is.

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Speaker 1: I think they would do that. They're Claudia is too

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Speaker 1: young for us to know, like she doesn't know what

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Speaker 1: kind of person she is, and she doesn't she's fifteen. Um.

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Speaker 1: I did see a post from her earlier, like I

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Speaker 1: think it might have been like a it was months ago.

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Speaker 1: I think it was back in August where she was,

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Speaker 1: you know, a thousand years ago, where she was talking

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Speaker 1: about wanting to get emancipated for her family and made

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Speaker 1: the statement that like, my dad is competent enough to

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Speaker 1: like know that Trump is full of ship, but he

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Speaker 1: and I disagree about everything, and like he's not don't

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Speaker 1: stand he's not a hero, which made me think, Okay,

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Speaker 1: like she might like I I hope I wish the

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Speaker 1: best for her. Yeah, that's like, that's like in the

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Speaker 1: a sober, mature perspective. Yeah, especially at that age. Yeah,

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Speaker 1: you're both your parents and being able to look at

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Speaker 1: both and being like, well, one works for the president

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Speaker 1: is awful and one doesn't think he's awful, but they're

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Speaker 1: both wrong. Yeah, and and any of her like live

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Speaker 1: audio where you can like hear her family in the background,

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Speaker 1: it's just heartbreaking and like she's a kid. That's she's

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Speaker 1: a kid, yelling and stick kid and it really it's

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Speaker 1: it's hard. Yeah, it sucks. Back to your question, Robert,

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Speaker 1: of whether or not the president will die, we don't know.

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Speaker 1: If you look at the timeline of the virus, he's

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Speaker 1: really kind of just getting started. He your many you know,

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Speaker 1: I mean many patients in his demographic show improvement before

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Speaker 1: getting worse, especially when you're on steroids. Uh. The virus

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Speaker 1: isn't linear, Ah, so you know he could be feeling

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Speaker 1: better and not be who knows. You get to be,

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Speaker 1: you get to enjoy this moment, you get to again.

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Speaker 1: We we have a whole video about this, so I

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Speaker 1: don't need to talk about this too much. It's coming

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Speaker 1: out soon. But like, um, the thing, the reason this, well,

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Speaker 1: there's many reasons this story is not getting shuffled away

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Speaker 1: like a lot of stories do. Uh. I mean the

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Speaker 1: president might be dying, that's part of it. But also

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Speaker 1: because we want this, we need this you and it's

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Speaker 1: okay to feel like he might get like a little

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Speaker 1: bit of a karmic punishment for his just consistent, constant,

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Speaker 1: lifelong behavior. Yeah, there's an element of like, um, I

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Speaker 1: keep seeing the idea of like we gotta like hope

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Speaker 1: he gets better so we can vote him out and

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Speaker 1: then he'll rot in prison like all this, like and

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Speaker 1: then he's gonna face consequence for this and this and

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Speaker 1: this and this. I don't know where there's people get

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Speaker 1: the idea that presidents will face consequences ever for anything

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Speaker 1: they do. Um, and like this is like this is

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Speaker 1: a consequence that um could actually happen as opposed to

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Speaker 1: him no longer being the president at some point and

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Speaker 1: then uh starting a network and being successful at that

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Speaker 1: or you know, going to Jimmy Carter's funeral and being

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Speaker 1: respected there, like all the things that we see presidents

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Speaker 1: do after the fact. Um it is. It's one of

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Speaker 1: those things where it's like this is this is a

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Speaker 1: little treat. Maybe maybe he'll actually see a little consequence,

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Speaker 1: because because whether or not he's voted out, I don't

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Speaker 1: think he's going to be in prison. As much as

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Speaker 1: that would be great, probably not gonna happen. Like there's

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Speaker 1: a little bit of Devil's advocate in me. Trump, on

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Speaker 1: an objective level, deserves to go to prison. There is

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Speaker 1: an argument that can be made that like being the

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Speaker 1: country where the former guy in office goes to prison

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Speaker 1: isn't a great precedent to start, which is complicated by

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Speaker 1: the fact that he deserves to go to prison because

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Speaker 1: he's of all of the bad things that he's done. Um.

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Speaker 1: I think the thing I would prefer for him is

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Speaker 1: for him to lose all of his money because of

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Speaker 1: the massive financial friends that he's committed and to have

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Speaker 1: to get an apartment in let's say, Lansing, Michigan, and

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Speaker 1: work a day job or live on disability, you know,

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Speaker 1: because he's probably is after this, after this, I'm not

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Speaker 1: I'm not talking Lansing. I'm just saying it's like that's

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Speaker 1: like a normal place that people live, as opposed to

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Speaker 1: living in a series of yachts and mansions where he

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Speaker 1: have nothing against the people that he champions, he actually despises. Yes. Um.

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Speaker 1: At the beginning of this, there was a lot of theorizing,

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Speaker 1: you know, that this was all a stunt to avoid

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Speaker 1: the next inbate, to raise patriotic man manipulate in some way.

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Speaker 1: It's clear that he's he's got corona. And I never

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Speaker 1: thought that personally, because he's too obsessed with weakness. But

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Speaker 1: you better believe that he will be trying to manipulate

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Speaker 1: the messaging to his advantage. And in fact, apparently he

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Speaker 1: spent his time in the hospital scheming ways to spend this,

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Speaker 1: you know, because of course he did. Um. This is

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Speaker 1: from the Daily Beast. The President repeatedly claimed that once

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Speaker 1: he recovers from the coronavirus, he'll be able to present

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Speaker 1: himself as a conqueror of it, both personally and politically.

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Speaker 1: The notion might seem far fetched, considering the poor marks

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Speaker 1: Trump's received for his handling of the pandemic, but according

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Speaker 1: to knowledgeable sources, The president insisted that this would be

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Speaker 1: a campaign asset, as he'd be able to say I

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Speaker 1: know what people are going through. The sources recounted him saying.

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Speaker 1: Allies argued that this could help frame Trump as both

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Speaker 1: resilient and empathetic, which come in handy in a race

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Speaker 1: where polling shows a wide empathy gap between him and

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Speaker 1: former President Joe Biden. I mean, we already saw him

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Speaker 1: trying to do it with the don't be afraid of

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Speaker 1: COVID right hility, But that is exactly what he's trying

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Speaker 1: to do with that. I've been there, I've seen it.

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Speaker 1: Look at me, you know, yeah, I mean he's like

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Speaker 1: his attack on Biden was that Biden hasn't experienced the

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Speaker 1: virus like him. Exactly. It's this nonsense and weird it's

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Speaker 1: not But also like, you know, he's doing the thing

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Speaker 1: where at the same time, don't worry about the virus

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Speaker 1: is not a big deal. Also, I'm a superhero for

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Speaker 1: having defeated it. I'm about how strong and what a

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Speaker 1: champion I am for having destroy But also don't worry

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Speaker 1: about it. It's a weak little virus, exactly. It's the

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Speaker 1: it's the same fascist nonsense that we see he's also

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Speaker 1: really leaning into it and like comparing COVID to the

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Speaker 1: flu again today, Ye let me read this. It is

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Speaker 1: coming up. Flu season is coming up. Many people years

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Speaker 1: sometimes over a hundred thousand and despite the vaccine die

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Speaker 1: from the flu. Are we going to close down our country? No,

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Speaker 1: We've learned to live with it, just like we're learning

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Speaker 1: to live with COVID in most populations, far less lethal.

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Speaker 1: First off, the first sentence, god exclamation. Hid the tweet

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Speaker 1: because it spreads Twitter and which is a pandemic against again,

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Speaker 1: which is what set off his thing being hidden, and

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Speaker 1: that's why he started tweeting. Repeal section twenty three if

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Speaker 1: you guys know what that Basically, it would make social

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Speaker 1: media platforms responsible for the things posted on their platform

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Speaker 1: and like open to lawsuits, which means that actually, if

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Speaker 1: they repealed it, they would have to like ban people

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Speaker 1: people like him, or at least delete his tweets, which

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Speaker 1: very funny. There's a lot but this is too again,

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Speaker 1: a whole other section that you could do a whole

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Speaker 1: thing on and I'm just throwing that in there right now,

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Speaker 1: but yeah, could argue the point, but he wants it.

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Speaker 1: He wants that change made so that conservatives can sue

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Speaker 1: Facebook over banning them exactly right, like revisiting that law,

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Speaker 1: like that's it's not completely unreasonable, but like his yeah,

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Speaker 1: it's but like the reality is that would open him

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Speaker 1: up for other things. Anyway, I'm going to end this

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Speaker 1: section by um this fucking news. Later this morning, he

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Speaker 1: announced on Twitter that he's halting negotiations on a COVID

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Speaker 1: relief bill until after the election. Nancy Pelosi is asking

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Speaker 1: for her two point four trillion dollars to bail out

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Speaker 1: poorly run high crime Democrats States, money that is in

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Speaker 1: no way related to COVID nineteen. We made a very

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Speaker 1: generous offer of one point six trillion dollars, and as usual,

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Speaker 1: she's not negotiating a good faith I am rejecting their

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Speaker 1: request and looking to the future of our country. I've

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Speaker 1: instruct did my representatives to stop negotiating until after the election,

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Speaker 1: when immediately after I win, we will pass a major

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Speaker 1: stimulus bill that focuses on hard working Americans and small businesses.

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Speaker 1: So again, that whole empathy gap, he's really trying to

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Speaker 1: like close the empathy gap here. Unreal, unbelievable, I mean,

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Speaker 1: it's believable. Yeah, Um, it's it's very believable. It's it's

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Speaker 1: believable in a way, but it's kind of unbelievable because

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Speaker 1: he should know that, Like, if you give people money,

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Speaker 1: they'll know that you did it and they'll do that.

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Speaker 1: You won't give me money until I vote for you.

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Speaker 1: You fuck right, like framing it like that, I'll do

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Speaker 1: it if you vote for me, Like it's wild. Because

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Speaker 1: also people know that if they vote for Joe Biden,

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Speaker 1: he'll do it. He'll do it better. Like it's so bizarre. Um.

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Speaker 1: One thing I want to point like, Jeff Stein was

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Speaker 1: pointing out some key consequences of this stimulus not going

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Speaker 1: through close to thirty million jobless people to permanently see

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Speaker 1: an income fifty restaurant's face closure in about six months. Uh,

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Speaker 1: Tens of thousands of airline workers will be laid off.

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Speaker 1: No stimulus checks, no rental relief money, no more funding

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Speaker 1: for testing or tracing. Uh, no Medicaid or Cobra, even

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Speaker 1: though Cobra sucks money. Um, it's just like wild. No

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Speaker 1: money for schools to reopen safely. Um, all the things

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Speaker 1: that people want to happen. He's just saying, Nope, but

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Speaker 1: vote for me and maybe and uh is the polls.

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Speaker 1: I don't want to be like a poll guy, but

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Speaker 1: like people do not like him, know how he is

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Speaker 1: handling this. They kind of despise him unless they are

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Speaker 1: members of his cult, which does speak to a lot

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Speaker 1: of people, but not not enough, not enough. Hopefully we'll

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Speaker 1: see that's my do A little break breaks, Yes, we

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Speaker 1: got it, adds breaks now as times cool, so we'll

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Speaker 1: be back by together everything prop prop prop prop prop

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Speaker 1: prop prop problem. Everything's perfect. Are we back from break now? Yes? Absolutely? Um, Cody,

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Speaker 1: what you got all the things? Cody, what's happening, Nothing's happening.

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Speaker 1: Everything's fine and going on great. Um uh. In regards

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Speaker 1: I wanted to make a quick note in regards to

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Speaker 1: another COVID nineteen relief bill, UM, seventy four percent of

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Speaker 1: voters want the Senate to take on this bill before

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Speaker 1: the scope is nominee. Like a minority of the country

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Speaker 1: is less than five or whatever even more than that

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Speaker 1: wants it. I would uh, I would not take that

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Speaker 1: bet because I feel like you would win. I think

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Speaker 1: that I'm right. It's of voters, but you know, most

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Speaker 1: of us don't vote. All of us vote, but people

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Speaker 1: don't vote anyway. I mean voters voted last election. I

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00:25:31,640 --> 00:25:37,120
Speaker 1: just learned of voters voted last election. That's what I'm

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Speaker 1: pretty sure I read. So that I can keep up

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Speaker 1: our our the quality of our journalism here, Okay, Cody continue.

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Speaker 1: One of the reasons I wanted to bring it back

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Speaker 1: to that is that the final the final tweet in

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Speaker 1: his announcement that he's not going to do a stimulus bill,

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Speaker 1: um reads, uh, we are leading the world in economic

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Speaker 1: recovery and the best is yet to come in all

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Speaker 1: caps um. And that phrase in all caps makes me

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Speaker 1: think of Kimberly Gilfoyle. Oh yeah, the president's son's wife,

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Speaker 1: girlfriend fiance. I don't know. Uh, crime buddy, crime lady,

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Speaker 1: crime lady. That's what a funk buddy is. If you're

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Speaker 1: a member of the Trump have sex, they excrete from

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Speaker 1: their cloacas in a pile of stolen lucram um. That's uh.

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Speaker 1: I saw that on a documentary. Yeah, it's it's the

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Speaker 1: documentary is now banned, but it was. It was very pornographic, like,

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Speaker 1: oh yeah, dude, I do not recommend it, but very

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Speaker 1: interesting still. Um. But so this kind of this is

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Speaker 1: just a story that kind of like got it under

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Speaker 1: the radar, um, because again, like what there was the taxes,

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Speaker 1: the debate that then the president might be dying, and

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Speaker 1: that's were a lot of the focus. I mean, I

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Speaker 1: have to be honest, I know that this is a

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00:27:04,080 --> 00:27:05,600
Speaker 1: story you're about to tell, and I don't know the

425
00:27:05,600 --> 00:27:09,560
Speaker 1: details of it. Fun beautiful talking about under the radar.

426
00:27:09,600 --> 00:27:13,800
Speaker 1: I was like, Nope, not gonna dig into this one. Well,

427
00:27:13,840 --> 00:27:19,040
Speaker 1: so about two years ago, uh, Gilfoil left. She left

428
00:27:19,640 --> 00:27:24,120
Speaker 1: her beautiful job at the beautiful Fox News network. Um

429
00:27:24,200 --> 00:27:29,320
Speaker 1: and uh she claims to have left by her own accord. Um.

430
00:27:29,440 --> 00:27:31,320
Speaker 1: This is around the time I believe that she and

431
00:27:31,840 --> 00:27:38,800
Speaker 1: Don Jr. Started criming together. Yeah yeah, yeah, crimes, criming,

432
00:27:39,000 --> 00:27:43,520
Speaker 1: criming in each other's pants. I believe what they were doing,

433
00:27:43,600 --> 00:27:47,040
Speaker 1: wiggling around like little worms in a bed. They bred

434
00:27:47,080 --> 00:27:50,920
Speaker 1: in the traditional Trump way, which is they they again

435
00:27:51,000 --> 00:27:54,080
Speaker 1: excreted from their cloacas in a pile of gold stolen

436
00:27:54,240 --> 00:27:57,760
Speaker 1: by the Nazis. I thought they just touched, but that's

437
00:27:57,800 --> 00:28:01,639
Speaker 1: part of It's are in their butts, okay, Yeah, and

438
00:28:01,680 --> 00:28:03,919
Speaker 1: then they then they leave the room and they don't speak.

439
00:28:04,000 --> 00:28:06,840
Speaker 1: They don't speak during a really long dinner. No and

440
00:28:06,840 --> 00:28:10,399
Speaker 1: then a child jest states inside the puddle. It's a puddle,

441
00:28:10,800 --> 00:28:13,600
Speaker 1: and it looks like a child. It's not a real child. No, no, no,

442
00:28:13,680 --> 00:28:16,199
Speaker 1: of course not. It's like the child in that uh

443
00:28:16,400 --> 00:28:19,200
Speaker 1: in that in that movie bivarium. Um, and it grows

444
00:28:19,320 --> 00:28:25,320
Speaker 1: up into a soulless monster. Yeah, exactly, so that's a

445
00:28:25,320 --> 00:28:28,920
Speaker 1: little biology lesson. Um. Yeah again again, do not watch

446
00:28:28,960 --> 00:28:33,120
Speaker 1: the documentary. It will tear, absolutely not, and it's illegal

447
00:28:33,240 --> 00:28:36,679
Speaker 1: in thirty one states presently. Yes, yes, yes, yes, if

448
00:28:36,720 --> 00:28:38,400
Speaker 1: you have to make sure that you're not in one

449
00:28:38,400 --> 00:28:40,840
Speaker 1: of those states. But one of these moments, we're gonna

450
00:28:40,920 --> 00:28:45,840
Speaker 1: let Cody finish the story. No, I mean, I'm just

451
00:28:45,880 --> 00:28:49,360
Speaker 1: as bad. I mean, it's a it's a it's a

452
00:28:49,360 --> 00:29:00,320
Speaker 1: short story, but it's a is gross. Um. Sorry, enjoyed

453
00:29:00,360 --> 00:29:04,000
Speaker 1: the way you phrase that. Well, okay, so uh it

454
00:29:04,120 --> 00:29:08,920
Speaker 1: was alleged, um that Gilfoil actually and this was not

455
00:29:08,960 --> 00:29:10,920
Speaker 1: this is not from this recent story, but that she

456
00:29:11,320 --> 00:29:14,680
Speaker 1: uh left because she was forced out because of sexual harassment,

457
00:29:15,160 --> 00:29:18,160
Speaker 1: because Fox News is accessible of sexual harassment and will

458
00:29:18,200 --> 00:29:20,880
Speaker 1: be forever and has been since all time. Wait did

459
00:29:20,920 --> 00:29:25,720
Speaker 1: she commit or was she a victim? Commit? Okay? Um, okay, oh, yeah,

460
00:29:26,080 --> 00:29:27,959
Speaker 1: that's I mean, that's a good question. That's yeah, that's

461
00:29:28,000 --> 00:29:29,840
Speaker 1: a good question. But yes, it absolutely does scan for

462
00:29:29,880 --> 00:29:32,800
Speaker 1: her as everybody knows that she was married to get

463
00:29:32,960 --> 00:29:42,640
Speaker 1: to California governor, because yeah, not that long ago. Yeah, together,

464
00:29:42,840 --> 00:29:45,600
Speaker 1: I like to bring that up in many conversations, but

465
00:29:45,880 --> 00:29:49,920
Speaker 1: we are ruled by an incestuous warren of demons that

466
00:29:50,080 --> 00:29:57,160
Speaker 1: rules that part. Oh god, no, it's just it's just

467
00:29:57,840 --> 00:30:01,120
Speaker 1: it's just okay. So she, Um, it was alleged that

468
00:30:01,280 --> 00:30:04,200
Speaker 1: their sexual harassment claims were made and that's sort of

469
00:30:04,200 --> 00:30:06,120
Speaker 1: why she was forced out. There were no real details

470
00:30:06,120 --> 00:30:10,640
Speaker 1: about this, and again it's sort of like slowly disappeared. Um,

471
00:30:10,680 --> 00:30:16,680
Speaker 1: the details are out and uh, aside from her trying

472
00:30:16,680 --> 00:30:19,400
Speaker 1: to cover cover this up, um, which would be a

473
00:30:19,440 --> 00:30:23,560
Speaker 1: whole other thing, I'm just going to read the behavior

474
00:30:24,680 --> 00:30:29,960
Speaker 1: and um I'm scared. Okay. So this is about a

475
00:30:30,000 --> 00:30:35,600
Speaker 1: woman that was hired her assistant. According to a dozen

476
00:30:35,640 --> 00:30:39,160
Speaker 1: well informed sources familiar with her complaints, the assistant alleged

477
00:30:39,160 --> 00:30:43,560
Speaker 1: the guilfoil her direct supervisor subjected her frequently to degrading, abusive,

478
00:30:43,600 --> 00:30:47,560
Speaker 1: and sexually inappropriate behavior. Among other things, She said that

479
00:30:47,600 --> 00:30:50,200
Speaker 1: she was frequently required to work at Guilfoil's New York

480
00:30:50,240 --> 00:30:53,360
Speaker 1: apartment while the Fox host displayed herself naked and was

481
00:30:53,400 --> 00:30:56,680
Speaker 1: shown photographs of the genitalia of men with whom Gilfoyle

482
00:30:56,720 --> 00:31:00,480
Speaker 1: had had sexual relationships. The draft complaint also alleged that

483
00:31:00,520 --> 00:31:04,240
Speaker 1: Gilfoyle spoke incessantly and luridly about her sex life, and

484
00:31:04,280 --> 00:31:07,800
Speaker 1: on one occasion, demanded a massage of her bare thighs.

485
00:31:08,080 --> 00:31:11,280
Speaker 1: Other times, she said, Gilfoyle told her to submit to

486
00:31:11,320 --> 00:31:14,960
Speaker 1: a Fox employe's demands for sexual favors, encouraged her to

487
00:31:15,000 --> 00:31:18,080
Speaker 1: sleep with wealthy and powerful men, asked her to critique

488
00:31:18,080 --> 00:31:20,800
Speaker 1: her naked body, demanded that she share a room with

489
00:31:20,800 --> 00:31:23,600
Speaker 1: her on business trips, required her to sleep over at

490
00:31:23,600 --> 00:31:26,920
Speaker 1: her apartment and expose herself to her, making her feel

491
00:31:27,000 --> 00:31:34,560
Speaker 1: deeply uncomfortable. My God, good Lord, and of paragraph, you know,

492
00:31:34,680 --> 00:31:37,400
Speaker 1: it's really upsetting that I didn't look at this story.

493
00:31:37,600 --> 00:31:40,160
Speaker 1: It's really upsetting that this is something that goes under

494
00:31:40,160 --> 00:31:45,800
Speaker 1: the radar because the stigma of I mean, a lot

495
00:31:45,840 --> 00:31:50,320
Speaker 1: of sexual assault is perpetrated by men against women, for sure,

496
00:31:50,680 --> 00:31:53,720
Speaker 1: but there is a lot of this kind of stuff

497
00:31:53,760 --> 00:31:57,800
Speaker 1: that happens, and men are mocked when they come forward

498
00:31:57,840 --> 00:32:02,520
Speaker 1: with their stories of abuse, and uh, case in point,

499
00:32:03,440 --> 00:32:09,160
Speaker 1: we did not latch onto this collectively, this story, you know.

500
00:32:10,080 --> 00:32:12,880
Speaker 1: I mean there's a lot of reasons why, but it's

501
00:32:13,000 --> 00:32:16,920
Speaker 1: it is that is so traumatic for the people that

502
00:32:17,240 --> 00:32:21,920
Speaker 1: she um worked with and abused. Yeah, if you if

503
00:32:22,000 --> 00:32:24,440
Speaker 1: if this was a man, this would be you know,

504
00:32:24,600 --> 00:32:28,000
Speaker 1: everybody would be talking about it for sure. Yeah. Absolutely,

505
00:32:28,200 --> 00:32:31,880
Speaker 1: it's just Trump stuff. It's all of them. It's I

506
00:32:31,880 --> 00:32:33,120
Speaker 1: don't know, I don't I don't know if it will

507
00:32:33,160 --> 00:32:38,280
Speaker 1: even resurface or be brought up at all. Probably not,

508
00:32:38,960 --> 00:32:43,680
Speaker 1: but it should. It should, well, I I'll probably maybe

509
00:32:43,680 --> 00:32:45,600
Speaker 1: I'll bring it up on even more news later this week.

510
00:32:46,000 --> 00:32:49,880
Speaker 1: I mean yeah, uh yeah, it's just the kind of

511
00:32:49,880 --> 00:32:52,960
Speaker 1: thing that like it slips. Fine, you want to at

512
00:32:53,040 --> 00:32:58,360
Speaker 1: least mention it because Jesus Christ. Yeah, yeah, that's not cool. Yeah.

513
00:32:58,520 --> 00:33:01,239
Speaker 1: People are always like tweeting or saying, you know, like

514
00:33:01,280 --> 00:33:05,040
Speaker 1: this wouldn't happen if women were in power. We have

515
00:33:05,080 --> 00:33:08,480
Speaker 1: a fucked up system that enables this kind of abuse,

516
00:33:09,040 --> 00:33:12,360
Speaker 1: and more men are in power, more men take advantage

517
00:33:12,360 --> 00:33:16,280
Speaker 1: of it. Women are just as capable of the same

518
00:33:16,320 --> 00:33:20,320
Speaker 1: abuse within this system that we have built, is your point. Yeah,

519
00:33:20,360 --> 00:33:23,920
Speaker 1: I mean to hire more women guards tweet right, Yeah,

520
00:33:23,960 --> 00:33:27,600
Speaker 1: there's there's something it. It's certainly it's not of zero

521
00:33:27,720 --> 00:33:31,560
Speaker 1: benefit to increase representation within the system as it currently exists.

522
00:33:31,560 --> 00:33:33,280
Speaker 1: But the problem with the system that as it currently

523
00:33:33,560 --> 00:33:38,440
Speaker 1: exists is that power ruins human beings. And it's why

524
00:33:38,480 --> 00:33:41,800
Speaker 1: all of this happens because most of these people, even

525
00:33:41,840 --> 00:33:44,280
Speaker 1: if they wanted to, wouldn't be able to do and

526
00:33:44,320 --> 00:33:46,720
Speaker 1: get away with the things that they were doing if

527
00:33:46,720 --> 00:33:49,760
Speaker 1: they were not in positions of power. And so while

528
00:33:49,960 --> 00:33:54,320
Speaker 1: representation is important, as long as we continue to give

529
00:33:54,440 --> 00:33:57,160
Speaker 1: people power in the way that we presently do, we

530
00:33:57,240 --> 00:34:00,640
Speaker 1: will continue to see people committing crimes like this because

531
00:34:00,680 --> 00:34:05,880
Speaker 1: power is it ruins human beings. We we teach that

532
00:34:05,960 --> 00:34:10,560
Speaker 1: to children, we sure do, but not adults. Not adults.

533
00:34:10,560 --> 00:34:13,120
Speaker 1: It's wild. There's so many things like that that people

534
00:34:13,160 --> 00:34:15,720
Speaker 1: have dismissed, like, well, that's kids ship. We teach kids

535
00:34:15,800 --> 00:34:18,719
Speaker 1: kids ship because it's like the fundamental things that we

536
00:34:18,760 --> 00:34:21,880
Speaker 1: want them to learn. Money is the root of all evil,

537
00:34:22,160 --> 00:34:24,880
Speaker 1: power corrups, like all this kind of stuff. It's basic.

538
00:34:25,000 --> 00:34:29,480
Speaker 1: It's basic stuff. Yeah, I don't know, make kids, give

539
00:34:29,560 --> 00:34:33,719
Speaker 1: kids power something. Yeah, let's just let's let's make a

540
00:34:33,800 --> 00:34:36,480
Speaker 1: random nine year old the dictator for like three years

541
00:34:36,600 --> 00:34:41,359
Speaker 1: and then overthrow him at incredibly vicious like coup, Like, yeah,

542
00:34:41,400 --> 00:34:43,279
Speaker 1: let's give it a shot. Why not when when it

543
00:34:43,800 --> 00:34:47,279
Speaker 1: corrupts that child, we will take that and we blame

544
00:34:47,360 --> 00:34:49,480
Speaker 1: the child as if it's the child's fault that we

545
00:34:49,640 --> 00:34:56,520
Speaker 1: invested absolute power in a nine year old. Exactly. Um. Um,

546
00:34:56,680 --> 00:34:59,120
Speaker 1: just a couple of just little things I wanted to

547
00:34:59,160 --> 00:35:02,520
Speaker 1: mention that have been sort of popping in and popping out.

548
00:35:03,560 --> 00:35:05,480
Speaker 1: Are they uplifting? Am I going to be really good

549
00:35:05,480 --> 00:35:07,400
Speaker 1: about the country I live in and and and the

550
00:35:07,400 --> 00:35:21,319
Speaker 1: people running it? Yeah? Yes, that's ament man with no spoons. Yes,

551
00:35:21,719 --> 00:35:23,759
Speaker 1: I can stir with a fork or something, or like

552
00:35:23,800 --> 00:35:25,520
Speaker 1: a knife you can stir with. Yeah, there's a variety

553
00:35:25,560 --> 00:35:29,279
Speaker 1: of tools. Actually start with your finger. If it's like,

554
00:35:30,880 --> 00:35:33,200
Speaker 1: m I got that's over there, I can get it.

555
00:35:34,040 --> 00:35:36,920
Speaker 1: Tell me the stories. It's not even a story, it's

556
00:35:36,960 --> 00:35:42,239
Speaker 1: just the the US is now, unless otherwise exempt for

557
00:35:42,280 --> 00:35:46,480
Speaker 1: some other expanious reason. Um, immigrants aren't allowed in the

558
00:35:46,560 --> 00:35:50,080
Speaker 1: United States if they're affiliated with the Communist Party what

559
00:35:51,760 --> 00:35:57,120
Speaker 1: of or any other totalitarian party. Specifically, communists are not allowed. Um.

560
00:35:57,160 --> 00:36:01,759
Speaker 1: And I just thought that was interesting. Yeah, why would

561
00:36:01,800 --> 00:36:05,319
Speaker 1: they be those filthy communists there? You go keep them out.

562
00:36:05,680 --> 00:36:10,160
Speaker 1: That's right, that's Robert Evans right there. Yeah. The only

563
00:36:10,200 --> 00:36:13,440
Speaker 1: extremists I want in my country are far right extremists

564
00:36:13,480 --> 00:36:17,080
Speaker 1: who have never, for example, detonated a truck bomb next

565
00:36:17,120 --> 00:36:22,000
Speaker 1: to a daycare. Yeah. Keep him in, keep him in,

566
00:36:22,960 --> 00:36:29,000
Speaker 1: keep him in, keep in, give him Let the president

567
00:36:29,560 --> 00:36:34,680
Speaker 1: compliment them or whatever. Yeah, sure, bucket. Um I uh

568
00:36:34,800 --> 00:36:36,960
Speaker 1: so there's also just this small thing and this this

569
00:36:37,040 --> 00:36:39,760
Speaker 1: might actually uh make you laugh a little bit, Sophie.

570
00:36:40,160 --> 00:36:55,440
Speaker 1: Um So we're all familiar with James O'Keeffe and Project Veritas. Yeah, sorry, yes,

571
00:36:56,200 --> 00:36:59,799
Speaker 1: so I understand. Uh it's uh Sames a key reason

572
00:36:59,840 --> 00:37:05,759
Speaker 1: to piece um in uh in in Minneapolis about how

573
00:37:05,800 --> 00:37:10,440
Speaker 1: Ellen Omar and her campaign there their ballot harvesting illegally,

574
00:37:10,719 --> 00:37:13,880
Speaker 1: and he has his whole expose about it. Um where

575
00:37:13,880 --> 00:37:16,480
Speaker 1: did they get him from the creek, like the president

576
00:37:16,520 --> 00:37:19,919
Speaker 1: talking right, Yeah, yeah, you'll find him in the creek.

577
00:37:19,920 --> 00:37:22,000
Speaker 1: You'll find where you well, that's where you harvest the

578
00:37:22,000 --> 00:37:23,839
Speaker 1: ballots down where else did he say it was weird?

579
00:37:23,920 --> 00:37:26,920
Speaker 1: He's like the creek in some other weird place. Yeah,

580
00:37:27,000 --> 00:37:29,399
Speaker 1: I think what a what a weirdo. Um. So it's

581
00:37:29,400 --> 00:37:35,760
Speaker 1: his video that purports to give evidence that they're engaging

582
00:37:35,760 --> 00:37:40,680
Speaker 1: in illegal ballot harvesting. Um. And I just have to

583
00:37:40,680 --> 00:37:43,880
Speaker 1: point out that the video starts with James O'Keeffe looking

584
00:37:44,040 --> 00:37:45,960
Speaker 1: like off in the distance, looking at the skyline of

585
00:37:46,000 --> 00:37:48,000
Speaker 1: Minneapolis behind him, is like, and here I am at

586
00:37:48,040 --> 00:37:50,319
Speaker 1: the scene of the crime, and he points to the

587
00:37:50,480 --> 00:37:55,040
Speaker 1: entire city. It's just very very funny. He's such a

588
00:37:55,040 --> 00:37:59,440
Speaker 1: he's such a such a dork. Oh no, Robert's laugh

589
00:37:59,520 --> 00:38:12,200
Speaker 1: is broken. Oh no, sorry. Uh. But so the guy

590
00:38:12,719 --> 00:38:16,040
Speaker 1: in the video, he's saying that there's his ballot harvesting

591
00:38:16,080 --> 00:38:19,080
Speaker 1: going on, aside from the fact that ballot harvesting was

592
00:38:19,200 --> 00:38:22,759
Speaker 1: legal in the area during like this like three month

593
00:38:22,800 --> 00:38:26,080
Speaker 1: period of time, because every everything in James O'Keefe's videos

594
00:38:26,120 --> 00:38:27,719
Speaker 1: like and this is illegal, this is illegal, and there's

595
00:38:27,719 --> 00:38:29,399
Speaker 1: no evidence in the video because that's how he does

596
00:38:29,440 --> 00:38:34,600
Speaker 1: his his deal. Um. But a guy came forward and

597
00:38:34,640 --> 00:38:38,160
Speaker 1: said that he was offered ten thousand dollars to lie

598
00:38:38,200 --> 00:38:40,719
Speaker 1: in the video about all this stuff that he said,

599
00:38:41,560 --> 00:38:45,080
Speaker 1: it's just a classic I guess what would you call it?

600
00:38:45,120 --> 00:38:47,560
Speaker 1: A uh? And he got O'Keefe to you O'Keeffe himself,

601
00:38:47,600 --> 00:38:51,440
Speaker 1: he got he got very tossed around. I don't know, um,

602
00:38:51,520 --> 00:38:54,120
Speaker 1: because every single time Tragic Veryitas does something like this,

603
00:38:54,280 --> 00:38:57,160
Speaker 1: it's always it blows up, like look at the wide

604
00:38:57,160 --> 00:39:00,239
Speaker 1: open there tearing this wide open um and you watch

605
00:39:00,280 --> 00:39:03,319
Speaker 1: it and you're like, wait, what does the video even say? Uh?

606
00:39:03,560 --> 00:39:06,719
Speaker 1: This deceptively edited and sort of portrayed in a way

607
00:39:06,719 --> 00:39:08,879
Speaker 1: where like this is a bombshell, it's illegal when it's

608
00:39:08,960 --> 00:39:11,839
Speaker 1: like not illegal whatever he's talking about. Um, And then

609
00:39:12,200 --> 00:39:15,000
Speaker 1: and that blows up in right wing media and then

610
00:39:15,680 --> 00:39:20,360
Speaker 1: the follow up of actually, uh, because it's like this

611
00:39:20,480 --> 00:39:22,960
Speaker 1: coke funded project. Of course they're gonna offer people ten

612
00:39:23,080 --> 00:39:29,360
Speaker 1: grand to lie for them. That doesn't quite do as well. Um.

613
00:39:29,400 --> 00:39:32,960
Speaker 1: It's surprising that Project Veritas is still even around with

614
00:39:33,080 --> 00:39:36,680
Speaker 1: how often they get discredited. They're the same people who

615
00:39:36,719 --> 00:39:39,759
Speaker 1: sent somebody to the Washington Post during the Roy Moore

616
00:39:39,800 --> 00:39:45,080
Speaker 1: debacle to pretend right when they when they sent somebody

617
00:39:45,120 --> 00:39:48,800
Speaker 1: to like lie and say, oh he also uh musted

618
00:39:48,800 --> 00:39:53,560
Speaker 1: me and the Washington Post like actually did like journalism

619
00:39:53,600 --> 00:39:56,759
Speaker 1: and figured out that she was clearly lying and it

620
00:39:56,800 --> 00:40:00,319
Speaker 1: was just a a fraud situation to try to prove

621
00:40:00,360 --> 00:40:04,000
Speaker 1: that the Washington Post doesn't do the work that they

622
00:40:04,120 --> 00:40:08,080
Speaker 1: actually do. Um, but he's still out and about doing

623
00:40:08,120 --> 00:40:09,719
Speaker 1: this kind of stuff. And I just wanted to bring

624
00:40:09,760 --> 00:40:16,840
Speaker 1: a little bit of attention to Mr James O'Keefe, thank you. Um.

625
00:40:17,120 --> 00:40:19,040
Speaker 1: Despite his boast that he had three hundred bells in

626
00:40:19,040 --> 00:40:20,759
Speaker 1: the car, he said the actual number was closer to

627
00:40:20,840 --> 00:40:24,960
Speaker 1: twenty because of various core decisions so called ballot harvesting,

628
00:40:25,000 --> 00:40:27,320
Speaker 1: collecting more than the statutory limit of three ballots was

629
00:40:27,320 --> 00:40:30,239
Speaker 1: permitted during a five week period this summer. Um. All

630
00:40:30,320 --> 00:40:35,359
Speaker 1: just all the stuff just piling up. Um. And uh.

631
00:40:35,440 --> 00:40:38,160
Speaker 1: I look forward to James saying it's bullshit and then

632
00:40:38,160 --> 00:40:42,280
Speaker 1: not being able to explain why. Yeah. And I'm looking

633
00:40:42,320 --> 00:40:44,440
Speaker 1: forward to this ad break we gotta do right now.

634
00:40:45,040 --> 00:41:02,040
Speaker 1: God yeah, fuck yeah, these transitions be right back everything.

635
00:41:05,000 --> 00:41:10,120
Speaker 1: You know, we're you know, we're back products. And you

636
00:41:10,120 --> 00:41:14,840
Speaker 1: know what products mean is the expenditure of financial resources.

637
00:41:15,200 --> 00:41:22,120
Speaker 1: And you know what financial resources mean, taxes, taxes, scot taxes. Yeah,

638
00:41:22,160 --> 00:41:24,880
Speaker 1: we're gonna talk a little bit about taxes because in

639
00:41:24,920 --> 00:41:27,560
Speaker 1: the school in the course of a week last week

640
00:41:28,040 --> 00:41:32,200
Speaker 1: we had Yeah, the New York Times dropped a bombshell

641
00:41:32,320 --> 00:41:35,880
Speaker 1: story about Trump's last like fifteen years of taxes. We

642
00:41:35,920 --> 00:41:38,960
Speaker 1: had the debate happened, which was obviously a big deal. Um,

643
00:41:39,080 --> 00:41:41,319
Speaker 1: and then we had the president gets sick with the

644
00:41:41,360 --> 00:41:43,760
Speaker 1: plague that he pretended didn't exist. So a lot happened,

645
00:41:43,840 --> 00:41:46,160
Speaker 1: and we kind of moved past the tax stuff, even

646
00:41:46,160 --> 00:41:48,880
Speaker 1: though for years everyone was talking about like what the

647
00:41:48,880 --> 00:41:52,200
Speaker 1: fund is in his taxes, you know, around that was

648
00:41:52,239 --> 00:41:57,160
Speaker 1: a big deal quite a bit. Yeah. Yeah, So we're

649
00:41:57,200 --> 00:41:59,120
Speaker 1: gonna talk a little bit about what got revealed and

650
00:41:59,120 --> 00:42:01,279
Speaker 1: then like whether or not it's gonna matter. So one

651
00:42:01,280 --> 00:42:04,560
Speaker 1: of the neat things that happened is we learned that

652
00:42:05,280 --> 00:42:08,680
Speaker 1: the president paid to seven fifty dollars in federal income

653
00:42:08,719 --> 00:42:12,480
Speaker 1: tax in two hund two thousand sixteen, which The Atlantic

654
00:42:12,520 --> 00:42:14,480
Speaker 1: noted was less than one night stay in a suite

655
00:42:14,480 --> 00:42:19,480
Speaker 1: at the Trump International Hotel in d C. Another thing

656
00:42:19,600 --> 00:42:25,360
Speaker 1: that The New York yeah, is that he was currently

657
00:42:25,760 --> 00:42:28,160
Speaker 1: that this audit thing that he's been talking about, like

658
00:42:28,200 --> 00:42:31,000
Speaker 1: the fight he's having with the artist. Yeah, it's been

659
00:42:31,040 --> 00:42:33,120
Speaker 1: going on for a decade, this fight, because you can

660
00:42:33,160 --> 00:42:35,600
Speaker 1: keep ship like that bouncing around for a long time

661
00:42:35,640 --> 00:42:39,040
Speaker 1: if you have real lawyer money. Um, it's about the

662
00:42:39,080 --> 00:42:41,640
Speaker 1: fact that he got a seventy two point nine million

663
00:42:41,680 --> 00:42:48,000
Speaker 1: dollar tax refund after declaring massive losses, and it's probably fraudulent,

664
00:42:48,080 --> 00:42:52,879
Speaker 1: although not definitely fraudulent yet because again there's still litigating this.

665
00:42:53,360 --> 00:42:56,239
Speaker 1: But if it were rule, if the ruling went against him,

666
00:42:56,239 --> 00:42:57,960
Speaker 1: he could he could be on the hook for more

667
00:42:57,960 --> 00:43:01,360
Speaker 1: than a hundred million dollars um, which he might not

668
00:43:01,520 --> 00:43:06,680
Speaker 1: have liquid. Uh. You know, a lot of fun stuff

669
00:43:07,239 --> 00:43:11,200
Speaker 1: was revealed um. Among them the fact that he made

670
00:43:11,200 --> 00:43:13,719
Speaker 1: like more than four million dollars from the Apprentice, like

671
00:43:13,719 --> 00:43:16,360
Speaker 1: four or thirties something million dollars, and he put it

672
00:43:16,400 --> 00:43:22,200
Speaker 1: all into horrible investments like buildings and and and golf

673
00:43:22,239 --> 00:43:25,040
Speaker 1: courses and stuff that lost that based on what he

674
00:43:25,080 --> 00:43:27,879
Speaker 1: filed it, I should say, not necessarily horrible investments, because

675
00:43:27,880 --> 00:43:30,400
Speaker 1: obviously there's people who make great livings owning golf courses,

676
00:43:30,600 --> 00:43:33,239
Speaker 1: but based on how he filed them in his taxes,

677
00:43:33,520 --> 00:43:37,759
Speaker 1: horrific investments because they lost more money than that. Yeah.

678
00:43:37,960 --> 00:43:40,839
Speaker 1: So part of what is this whole story, and I'm

679
00:43:40,840 --> 00:43:43,200
Speaker 1: sure you're going to get to this, is the fact

680
00:43:43,239 --> 00:43:46,160
Speaker 1: that our system is designed in such a way with

681
00:43:46,320 --> 00:43:50,200
Speaker 1: these fucking wealthy fox you can get away with ship

682
00:43:50,880 --> 00:43:54,399
Speaker 1: And what's difficult about this story is like, yeah, there's

683
00:43:54,400 --> 00:43:57,920
Speaker 1: a certain amount of like depreciating, like depreciation is expected

684
00:43:58,040 --> 00:44:00,680
Speaker 1: improperties and stuff. So when you talk about his losses

685
00:44:00,680 --> 00:44:03,920
Speaker 1: and stuff, it's hard to know how much you're actually losing,

686
00:44:03,960 --> 00:44:08,400
Speaker 1: but fair to say he's losing money. Yeah, But anyway,

687
00:44:08,440 --> 00:44:09,759
Speaker 1: but it all goes to the point of, like, we

688
00:44:09,800 --> 00:44:13,560
Speaker 1: don't know how broke he is, Yeah, exactly, and we

689
00:44:13,600 --> 00:44:15,560
Speaker 1: don't know. We don't know if he has broke. Um,

690
00:44:15,600 --> 00:44:17,719
Speaker 1: he might just be a shady rich guy who hides

691
00:44:17,760 --> 00:44:21,040
Speaker 1: a lot of money. Um. We do know that he

692
00:44:21,120 --> 00:44:24,520
Speaker 1: claims after investing that four hundred million dollars that he

693
00:44:24,640 --> 00:44:27,000
Speaker 1: lost like somewhere in the neighborhood of like five half

694
00:44:27,040 --> 00:44:29,759
Speaker 1: a billion dollars um, which is why he's able to

695
00:44:29,760 --> 00:44:33,319
Speaker 1: get so many right offs. Now, again, the resolution of

696
00:44:33,400 --> 00:44:37,480
Speaker 1: his tax audit is probably clear his revenue from the

697
00:44:37,520 --> 00:44:41,200
Speaker 1: Apprentice and from all of his licensing deals is basically

698
00:44:41,239 --> 00:44:45,440
Speaker 1: gone now um, at least in rich guy terms. And

699
00:44:45,560 --> 00:44:48,320
Speaker 1: within the next four years more than three hundred million

700
00:44:48,360 --> 00:44:52,520
Speaker 1: dollars in personal loans are coming doe, which some would

701
00:44:52,520 --> 00:44:56,360
Speaker 1: say is a potentially catastrophic financial situation that the president

702
00:44:56,520 --> 00:45:01,000
Speaker 1: is in. Um. Some would say, some could say, yeah, say,

703
00:45:01,000 --> 00:45:04,920
Speaker 1: potentially problematic if he were to win reelection and all

704
00:45:04,960 --> 00:45:08,799
Speaker 1: those things come due while he's in office. Yeah. Anyway,

705
00:45:08,960 --> 00:45:10,960
Speaker 1: the New York Times article and all of this is

706
00:45:11,200 --> 00:45:14,839
Speaker 1: very extensive and and maybe longer than most people will

707
00:45:14,920 --> 00:45:17,440
Speaker 1: run to read, because fuck, like, how much time do

708
00:45:17,480 --> 00:45:20,319
Speaker 1: you really have these days? Like there's a lot going on. Um,

709
00:45:20,360 --> 00:45:22,920
Speaker 1: if you, if you would like to be well informed

710
00:45:22,960 --> 00:45:25,600
Speaker 1: and read a shorter article, I found The Atlantic did

711
00:45:25,800 --> 00:45:29,520
Speaker 1: three interpretations of Trump's tax returns, which summarizes the key

712
00:45:29,560 --> 00:45:32,200
Speaker 1: stuff and brings an expert commentary and is and is

713
00:45:32,480 --> 00:45:35,760
Speaker 1: a readable length. Um, So I might I might recommend

714
00:45:35,800 --> 00:45:38,640
Speaker 1: people take a look at that. Um although obviously, if

715
00:45:38,640 --> 00:45:40,399
Speaker 1: you've got the time, the full New York Times article

716
00:45:40,480 --> 00:45:42,480
Speaker 1: is well worth it. It's a very it's a very

717
00:45:42,520 --> 00:45:46,879
Speaker 1: responsibly reported piece. Um. So yeah, I'm gonna quote from

718
00:45:46,880 --> 00:45:49,600
Speaker 1: that Atlantic piece. Though. When I talked with several tax

719
00:45:49,640 --> 00:45:52,279
Speaker 1: experts recently, including some with direct knowledge of Trump's past

720
00:45:52,320 --> 00:45:57,400
Speaker 1: tax records, three somewhat overlapping interpretations emerged. In competence, malfeasance,

721
00:45:57,600 --> 00:46:00,720
Speaker 1: and criminality. Um, and that's the Those are the three

722
00:46:00,800 --> 00:46:06,680
Speaker 1: possible explanations that either one he's just an unbelievably bad businessman,

723
00:46:07,200 --> 00:46:10,239
Speaker 1: which some people are. Um, And he's been able to

724
00:46:10,320 --> 00:46:14,920
Speaker 1: keep ship afloat by basically robbing Peter to pay Paul. Like,

725
00:46:15,080 --> 00:46:16,880
Speaker 1: there's a number of ways that he can do that.

726
00:46:16,960 --> 00:46:19,280
Speaker 1: One of them is he paid like seven thousand dollars

727
00:46:19,280 --> 00:46:22,040
Speaker 1: and consulting fees to his daughter, which he claimed as

728
00:46:22,080 --> 00:46:24,560
Speaker 1: a business deduction, which is something that his dad used

729
00:46:24,600 --> 00:46:30,919
Speaker 1: to do, so that's pretty likely. Um that yeah. Um,

730
00:46:31,000 --> 00:46:33,040
Speaker 1: he borrowed a lot of money and he lost it

731
00:46:33,080 --> 00:46:36,280
Speaker 1: on investments, and then he took huge, huge deductions on interest,

732
00:46:36,320 --> 00:46:40,280
Speaker 1: appreciation and operating expenses, which massively reduced his federal income

733
00:46:40,280 --> 00:46:45,239
Speaker 1: tax burden. He would declare bankruptcy pretty regularly, renegotiate loans, um.

734
00:46:45,360 --> 00:46:48,279
Speaker 1: And that's all stuff you can do without breaking the law.

735
00:46:48,360 --> 00:46:51,480
Speaker 1: But where he probably broke the law. Where he definitely

736
00:46:51,480 --> 00:46:54,080
Speaker 1: broke the law, it seems, is that when a bank

737
00:46:54,200 --> 00:46:56,359
Speaker 1: writes off your debt, which again he was very good

738
00:46:56,400 --> 00:46:59,960
Speaker 1: at getting them to do. The discharge debt is taxable

739
00:47:00,160 --> 00:47:02,600
Speaker 1: was income, you have to report that to the I

740
00:47:02,840 --> 00:47:10,720
Speaker 1: R S. And Trump didn't, which is you know, a crime. Now,

741
00:47:10,920 --> 00:47:14,560
Speaker 1: he eventually started to run into issues getting normal sources

742
00:47:14,600 --> 00:47:17,040
Speaker 1: of income to live to him directly, which is why

743
00:47:17,080 --> 00:47:20,799
Speaker 1: he went to a mix of international billionaires and Deutsche Bank.

744
00:47:20,880 --> 00:47:26,480
Speaker 1: And Deutsche Bank Deutsche Bank is a very august and

745
00:47:26,560 --> 00:47:32,439
Speaker 1: respected and old pile of crimes covered by very nice masonry. Um.

746
00:47:32,520 --> 00:47:34,960
Speaker 1: But like Deutsche Deutsche Bank is where you go if

747
00:47:35,000 --> 00:47:37,000
Speaker 1: you're someone with a lot of money that you're committing

748
00:47:37,040 --> 00:47:39,719
Speaker 1: crimes with. That is the bank that or like, Um,

749
00:47:40,120 --> 00:47:43,160
Speaker 1: I think, uh, what's that? There's one British bank that's similar,

750
00:47:43,440 --> 00:47:46,560
Speaker 1: but like Deutsche Bank is like the fucking crime guy bank.

751
00:47:46,640 --> 00:47:51,040
Speaker 1: And that's where Trump has has done a lot of business. Um.

752
00:47:51,080 --> 00:47:54,440
Speaker 1: And obviously it's very opague and there's a good chance

753
00:47:54,440 --> 00:47:57,280
Speaker 1: in ten years, you know, we'll finally have a reasonable

754
00:47:57,360 --> 00:48:00,399
Speaker 1: understanding of everything he was up to, because he's got

755
00:48:00,400 --> 00:48:02,200
Speaker 1: the money to hire people who are good at ducking

756
00:48:02,200 --> 00:48:08,760
Speaker 1: this ship. Um. But yeah, so it's it's his cases

757
00:48:08,760 --> 00:48:12,279
Speaker 1: are very complicated. We can't say that he was engaged

758
00:48:12,560 --> 00:48:15,640
Speaker 1: a hundred percent engaged in an illegal scheme based on

759
00:48:15,680 --> 00:48:19,200
Speaker 1: the money, but it really looks like to a lot

760
00:48:19,239 --> 00:48:22,600
Speaker 1: of people he was doing some money laundering. So all

761
00:48:22,640 --> 00:48:24,880
Speaker 1: of his golf golf property has declared losses of more

762
00:48:24,920 --> 00:48:29,080
Speaker 1: than three million dollars since two thousand, UM, which would

763
00:48:29,080 --> 00:48:32,360
Speaker 1: mean that for someone who's supposedly gooes businessman, he's pouring

764
00:48:32,360 --> 00:48:35,200
Speaker 1: a baffling amount of money into a business that's suffering

765
00:48:35,239 --> 00:48:39,279
Speaker 1: like weirdly huge losses UM, which is the kind of

766
00:48:39,320 --> 00:48:43,080
Speaker 1: thing you see when say Russian oligarchs are handing you

767
00:48:43,200 --> 00:48:46,640
Speaker 1: piles of money that they want laundered. You know, like

768
00:48:46,880 --> 00:48:49,799
Speaker 1: that's that's a thing that happens a lot. We don't

769
00:48:49,840 --> 00:48:52,560
Speaker 1: know that it's happening there, but it sure looks like

770
00:48:52,600 --> 00:48:56,839
Speaker 1: it might. Well, I would say that's something that I'm

771
00:48:56,920 --> 00:48:59,400
Speaker 1: thinking remembering now. I believe the New York Times article

772
00:49:00,160 --> 00:49:03,440
Speaker 1: is a part of a series. Yeah, there's other articles

773
00:49:03,880 --> 00:49:06,480
Speaker 1: there's but that are still coming that we don't know

774
00:49:06,560 --> 00:49:10,680
Speaker 1: what else they are about to reveal, right, yeah, yeah, yeah,

775
00:49:10,719 --> 00:49:13,359
Speaker 1: And it's so there's you know, there's been responses from

776
00:49:13,360 --> 00:49:15,239
Speaker 1: the Trump campaign to this. One of them is that

777
00:49:15,320 --> 00:49:18,360
Speaker 1: from his UM, one of his one of his money people,

778
00:49:18,480 --> 00:49:20,200
Speaker 1: one of the people that he hires to think about

779
00:49:20,200 --> 00:49:22,839
Speaker 1: money for him, UM told the New York Times basically, Hey,

780
00:49:22,880 --> 00:49:25,000
Speaker 1: the presidents actually paid tens of millions of dollars in

781
00:49:25,040 --> 00:49:27,400
Speaker 1: personal taxes, and this is this is not. This is

782
00:49:27,400 --> 00:49:30,520
Speaker 1: not This is bullshit. Um. What it seems like he

783
00:49:30,560 --> 00:49:34,320
Speaker 1: was probably doing is conflating income taxes with other federal

784
00:49:34,360 --> 00:49:37,279
Speaker 1: taxes that Trump pays, like Social Security, Medicare taxes for

785
00:49:37,280 --> 00:49:40,480
Speaker 1: his household employees. And it's sure he probably does pay

786
00:49:40,520 --> 00:49:45,040
Speaker 1: tens of millions in those taxes. Um, he's not paying

787
00:49:45,120 --> 00:49:48,240
Speaker 1: federal income tax because he's using a bunch of shady

788
00:49:48,280 --> 00:49:51,600
Speaker 1: math to avoid it. You can't avoid paying, say, payroll

789
00:49:51,640 --> 00:49:55,799
Speaker 1: tax and ship to some extent um. So also he

790
00:49:55,840 --> 00:50:00,000
Speaker 1: did pay taxes in other countries. Yeah, that's a very

791
00:50:01,000 --> 00:50:03,000
Speaker 1: that's a very fun thing that I want to talk

792
00:50:03,040 --> 00:50:07,040
Speaker 1: about here. So uh yeah. When it comes to other

793
00:50:07,120 --> 00:50:10,560
Speaker 1: places where he's made money recently, there's also some really

794
00:50:10,560 --> 00:50:14,440
Speaker 1: shady stuff. First off, there's the his Palm Beach property

795
00:50:14,840 --> 00:50:17,120
Speaker 1: Mara A Lago Uh started getting a bunch of new

796
00:50:17,120 --> 00:50:19,399
Speaker 1: members in two thousand fifteen that made another five million

797
00:50:19,440 --> 00:50:21,640
Speaker 1: a year for the president. In two thousand seventeen, Billy

798
00:50:21,719 --> 00:50:24,440
Speaker 1: Graham paid almost four hundred grand to his hotel in

799
00:50:24,560 --> 00:50:28,000
Speaker 1: d c UH for an event that they were doing. Um,

800
00:50:28,080 --> 00:50:31,680
Speaker 1: and he still makes he has some profitable properties overseas,

801
00:50:31,719 --> 00:50:35,520
Speaker 1: about seventy three million dollars in revenue. Uh. A lot

802
00:50:35,520 --> 00:50:37,480
Speaker 1: of that was from his property, his golf properties in

803
00:50:37,480 --> 00:50:40,320
Speaker 1: Scotland and Ireland, but some of it came from licensing

804
00:50:40,320 --> 00:50:44,400
Speaker 1: deals in countries with like you know, dictators. Three million

805
00:50:44,400 --> 00:50:47,120
Speaker 1: dollars from the Philippines, two point three million dollars from

806
00:50:47,160 --> 00:50:50,839
Speaker 1: properties in India, and a million dollars from properties in Turkey. Uh.

807
00:50:50,840 --> 00:50:55,040
Speaker 1: And that Turkish deal was negotiated right as Trump pulled

808
00:50:55,400 --> 00:50:58,919
Speaker 1: uh US troops out of Rojava. Uh So that's fun

809
00:50:59,360 --> 00:51:02,319
Speaker 1: uh context there. So the thing you might say, and

810
00:51:02,320 --> 00:51:03,919
Speaker 1: the thing I think people have defended him by saying,

811
00:51:03,960 --> 00:51:07,279
Speaker 1: is that like a million dollars, I've got a billionaire

812
00:51:07,360 --> 00:51:09,400
Speaker 1: wouldn't make a deal like that just to make a

813
00:51:09,440 --> 00:51:12,600
Speaker 1: million dollars. That's chump changed to him. But it's not

814
00:51:12,719 --> 00:51:18,640
Speaker 1: chump changed to a guy who's basically broke. Yeah. Um,

815
00:51:18,640 --> 00:51:21,719
Speaker 1: Which is why we have prior to now, I mean

816
00:51:21,760 --> 00:51:24,200
Speaker 1: actually not always prior to now. Really the reason that

817
00:51:24,239 --> 00:51:27,560
Speaker 1: we're the reason that it has become habitual for presidents

818
00:51:27,600 --> 00:51:31,120
Speaker 1: to disclose ship in their taxes about their taxes is

819
00:51:31,160 --> 00:51:34,560
Speaker 1: that Nixon was found paying like seven nine dollars in

820
00:51:34,640 --> 00:51:37,600
Speaker 1: income tax during one of like during like one of

821
00:51:37,600 --> 00:51:40,920
Speaker 1: his election campaigns and it was a big scandal and

822
00:51:41,000 --> 00:51:46,960
Speaker 1: his income was two hundred thousand dollars a year. Speaking

823
00:51:47,000 --> 00:51:51,480
Speaker 1: of speaking of Richard Nixon, another thing that really just

824
00:51:51,640 --> 00:51:56,640
Speaker 1: got under the radar. Trump and Nixon wrote each other

825
00:51:56,840 --> 00:52:01,320
Speaker 1: for years. Well, no, I didn't hear about this. That's yeah.

826
00:52:01,440 --> 00:52:05,680
Speaker 1: They released letters that they have had in the Nixon

827
00:52:05,680 --> 00:52:09,880
Speaker 1: presidential library. They wrote each other back and forth. Trump

828
00:52:10,000 --> 00:52:12,759
Speaker 1: like complimented him on like what a hero he is,

829
00:52:12,960 --> 00:52:16,399
Speaker 1: and like how like what an amazing like resilient man

830
00:52:16,400 --> 00:52:18,879
Speaker 1: he is, and they would go back and forth. This

831
00:52:19,000 --> 00:52:23,560
Speaker 1: was like ten years after Nixon resigned in disgrace. Again,

832
00:52:23,719 --> 00:52:28,000
Speaker 1: very fun context, not inconlievable. Yeah, it's from like a

833
00:52:28,080 --> 00:52:30,160
Speaker 1: week and a half ago, so of course it's like

834
00:52:30,239 --> 00:52:34,799
Speaker 1: three years ago. Really, Um but I I saw that

835
00:52:34,920 --> 00:52:38,520
Speaker 1: and it passed by, and it's just like it's perfect.

836
00:52:38,560 --> 00:52:40,680
Speaker 1: Of course he did. Of course he wrote Nixon not

837
00:52:40,760 --> 00:52:42,520
Speaker 1: as a kid or not as a young man like

838
00:52:42,600 --> 00:52:46,800
Speaker 1: when he was president, but after he'd resigned a disgrace. Um,

839
00:52:46,840 --> 00:52:50,479
Speaker 1: it's perfect in its poetry. And I had to bring

840
00:52:50,520 --> 00:52:58,600
Speaker 1: that up. Go on, God damn, yep ah, that's that's

841
00:52:58,719 --> 00:53:04,240
Speaker 1: very funny. That's just a good time a good time

842
00:53:04,320 --> 00:53:09,680
Speaker 1: is all that is. So you know, the president and

843
00:53:09,840 --> 00:53:12,720
Speaker 1: his crimes. So the question with the president and his crimes,

844
00:53:12,719 --> 00:53:15,560
Speaker 1: other than how many of them are they are they big?

845
00:53:15,920 --> 00:53:19,640
Speaker 1: Did they hurt to do? The question is doesn't matter?

846
00:53:19,800 --> 00:53:22,640
Speaker 1: Right Uh. And for this I'm gonna turn to five

847
00:53:22,680 --> 00:53:25,160
Speaker 1: thirty eight, who, for all of my antipathy towards Nate

848
00:53:25,239 --> 00:53:28,359
Speaker 1: Silver himself, is really good at doing analyzes like this

849
00:53:28,440 --> 00:53:30,640
Speaker 1: and collecting a lot of information on like whether or

850
00:53:30,680 --> 00:53:34,080
Speaker 1: not people give a shit about certain things, um, which

851
00:53:34,120 --> 00:53:36,200
Speaker 1: is useful because I think we all have gotten kind

852
00:53:36,200 --> 00:53:40,560
Speaker 1: of locked into this habitual thing that like, oh, nothing matters, right,

853
00:53:40,600 --> 00:53:43,600
Speaker 1: the truth doesn't matter, Like what happens doesn't matter. He's

854
00:53:43,600 --> 00:53:47,280
Speaker 1: completely immune to everything, and there's a lot of evidence

855
00:53:47,280 --> 00:53:49,520
Speaker 1: that that's not really true. The I mean, we'll see

856
00:53:49,520 --> 00:53:51,720
Speaker 1: how the fucking election goes. But right now the polls

857
00:53:51,760 --> 00:53:55,680
Speaker 1: have definitely like they've moved a lot actually at finally

858
00:53:56,000 --> 00:54:01,880
Speaker 1: like some because also Biden's been can assistant leading Trump

859
00:54:02,080 --> 00:54:07,040
Speaker 1: for a long long long time by several times what

860
00:54:07,160 --> 00:54:09,920
Speaker 1: Clinton was leading by at her biggest and like if

861
00:54:09,960 --> 00:54:13,440
Speaker 1: you even if you compare like the fluctuation, there's been

862
00:54:13,480 --> 00:54:18,359
Speaker 1: really no fluctuation with Biden against Trump. He's it's consistent

863
00:54:18,520 --> 00:54:22,160
Speaker 1: across the board. Um until now in the fluctuation is

864
00:54:22,160 --> 00:54:27,360
Speaker 1: that he's doing even better. Yeah, yeah, a lot better. UM.

865
00:54:27,400 --> 00:54:31,520
Speaker 1: So in May of two thousand nineteen, that's when the

866
00:54:31,520 --> 00:54:34,160
Speaker 1: New York Times published their first report, big report on

867
00:54:34,200 --> 00:54:36,399
Speaker 1: Trump's taxes that he'd lost about like one point two billion.

868
00:54:36,400 --> 00:54:40,759
Speaker 1: In between um, and there was public polling done by

869
00:54:40,800 --> 00:54:45,280
Speaker 1: Politico Morning consult about whether or not this story would

870
00:54:45,480 --> 00:54:49,040
Speaker 1: change people's opinions on the president. And the poll found

871
00:54:49,080 --> 00:54:52,480
Speaker 1: that voters thought Trump had been very successful or somewhat

872
00:54:52,480 --> 00:54:55,719
Speaker 1: successful as a businessman, well only thought he had been

873
00:54:55,719 --> 00:54:57,640
Speaker 1: bad at it. But when they were presented with this

874
00:54:57,719 --> 00:55:01,160
Speaker 1: information from the Time story, UM share of voters who

875
00:55:01,239 --> 00:55:05,759
Speaker 1: thought he'd been a good businessman dropped from fifty to

876
00:55:07,360 --> 00:55:16,040
Speaker 1: which is significant. UM. And yeah, that's that's really noteworthy. Um. Yeah,

877
00:55:16,280 --> 00:55:22,239
Speaker 1: and about twenty of independent voters UM said there's a

878
00:55:22,280 --> 00:55:26,400
Speaker 1: strong or somewhat strong chance that new revelations about like

879
00:55:26,480 --> 00:55:30,680
Speaker 1: his his financial life could impact Um. There are people's

880
00:55:30,719 --> 00:55:34,040
Speaker 1: views of him. That was like a Fox News poll. Um. Now,

881
00:55:34,200 --> 00:55:36,640
Speaker 1: There's been some others polls, including one from the University

882
00:55:36,640 --> 00:55:38,360
Speaker 1: of Maryland which I'm actually just going to read you

883
00:55:38,400 --> 00:55:41,120
Speaker 1: the summary of the poll from the University of Maryland quote.

884
00:55:41,120 --> 00:55:44,000
Speaker 1: Focusing on President Trump, we find via a national survey

885
00:55:44,040 --> 00:55:47,400
Speaker 1: that many Americans are unaware he was born into great wealth,

886
00:55:47,400 --> 00:55:50,600
Speaker 1: and the numbers like half of Americans didn't realize it was, yeah,

887
00:55:50,880 --> 00:55:55,879
Speaker 1: fucking stunning. This misperception increases support for Trump, mediated through

888
00:55:55,880 --> 00:55:58,080
Speaker 1: beliefs that he's both empathetic and good at business. We

889
00:55:58,120 --> 00:56:01,880
Speaker 1: supplement our observational analysis with an experiment treating respondents with

890
00:56:01,960 --> 00:56:04,520
Speaker 1: information regarding the royal Trump's father played in his career.

891
00:56:04,760 --> 00:56:07,680
Speaker 1: This information leads respondents to rate the president more negatively

892
00:56:07,760 --> 00:56:10,560
Speaker 1: on both empathy and business ability. These findings suggest that

893
00:56:10,600 --> 00:56:13,640
Speaker 1: correcting information about candidate characteristics can change the minds and

894
00:56:13,719 --> 00:56:18,920
Speaker 1: even loyal partisans. That's wild. That's that's stunning, right, It's

895
00:56:18,960 --> 00:56:22,960
Speaker 1: like that's the one thing like this is a consistent

896
00:56:22,960 --> 00:56:26,040
Speaker 1: thing though with Trump, Like they there is a misconception

897
00:56:26,160 --> 00:56:29,640
Speaker 1: with him, even about like things like policy, things like

898
00:56:29,640 --> 00:56:34,520
Speaker 1: pre existing conditions. People have no idea that like doing

899
00:56:34,560 --> 00:56:37,120
Speaker 1: the opposite of what they think. But man, yeah, he

900
00:56:37,280 --> 00:56:39,840
Speaker 1: was a lot of wealth, start with a lot of wealth.

901
00:56:39,880 --> 00:56:43,760
Speaker 1: That's wild. Yeah, And he's consistently fucked up that wealth.

902
00:56:44,200 --> 00:56:48,719
Speaker 1: He sure did. Um, that's the real indictment of like

903
00:56:48,760 --> 00:56:51,920
Speaker 1: the media in general. Yeah yeah, there, it's bad at

904
00:56:51,920 --> 00:56:56,200
Speaker 1: its job. We and the media are. Um. It's worth

905
00:56:56,320 --> 00:57:01,279
Speaker 1: noting that among the independence nationally about this is during

906
00:57:01,280 --> 00:57:06,239
Speaker 1: the sixteen election, preferred Trump on the economy versus for

907
00:57:07,680 --> 00:57:11,760
Speaker 1: for Clinton. Um. And among the independents in Florida, Michigan,

908
00:57:11,760 --> 00:57:15,240
Speaker 1: and Wisconsin all preferred Trump to Clinton on the economy

909
00:57:15,239 --> 00:57:18,520
Speaker 1: by double digit margins, which is probably a big part

910
00:57:18,560 --> 00:57:21,240
Speaker 1: of why he won because the economy is often generally

911
00:57:21,320 --> 00:57:25,760
Speaker 1: number one or two for for most voters. Right, Um,

912
00:57:25,840 --> 00:57:29,640
Speaker 1: so it matters. Actually, there's at least a good chance

913
00:57:29,680 --> 00:57:32,720
Speaker 1: that it will matter, you know you. The data suggests

914
00:57:32,760 --> 00:57:39,400
Speaker 1: that actually voters give a shit about this. Um. Yeah. Yeah,

915
00:57:39,480 --> 00:57:45,280
Speaker 1: well that's he's he's dying for us. Yeah, he's also

916
00:57:45,640 --> 00:57:50,000
Speaker 1: in his irresponsibility and the things he's saying, it seems

917
00:57:50,120 --> 00:57:55,040
Speaker 1: like possibly perception is coming crashing down around him. Yeah,

918
00:57:55,280 --> 00:57:59,360
Speaker 1: it might be. It might be. Uh. The only age

919
00:57:59,400 --> 00:58:02,920
Speaker 1: group that's uh still like into him is I think

920
00:58:03,000 --> 00:58:10,080
Speaker 1: like fifty to sixty four or something like that. Yeah. Yeah, well,

921
00:58:10,960 --> 00:58:18,200
Speaker 1: but like everyone, everyone, everyone's excited for Biden. But also, Um,

922
00:58:18,920 --> 00:58:22,240
Speaker 1: this is all stuff that we thought, um four years ago,

923
00:58:22,480 --> 00:58:25,840
Speaker 1: so don't let it not. Yeah, every time I start

924
00:58:25,880 --> 00:58:27,600
Speaker 1: to go down that path, I'm like, I don't know,

925
00:58:27,680 --> 00:58:31,880
Speaker 1: I don't know, I don't have none of this stuff

926
00:58:31,920 --> 00:58:34,800
Speaker 1: that's currently happening is good for him, I'll say that.

927
00:58:35,200 --> 00:58:38,520
Speaker 1: But and he does that, like that's why he's very

928
00:58:38,560 --> 00:58:43,160
Speaker 1: clearly just trying to steal the election. Um. Side note, Robert,

929
00:58:43,280 --> 00:58:45,880
Speaker 1: is this all we're doing for today? For this? Yeah? Yeah,

930
00:58:46,080 --> 00:58:48,560
Speaker 1: I mean I'll give a little update from Portland since

931
00:58:48,560 --> 00:58:52,800
Speaker 1: people are curious, and hopefully this will remain true after

932
00:58:52,880 --> 00:58:55,680
Speaker 1: there's some some right wing rally to red Robin today

933
00:58:55,720 --> 00:58:58,200
Speaker 1: at five pm, so that might not go well, but

934
00:58:58,320 --> 00:59:00,800
Speaker 1: I don't think hopefully it won't be a big Um.

935
00:59:01,120 --> 00:59:04,640
Speaker 1: Things are okay comparatively, Like the cops are still pretty

936
00:59:04,680 --> 00:59:06,880
Speaker 1: awful and a lot of nice people are dealing with

937
00:59:07,000 --> 00:59:10,200
Speaker 1: some really ugly charges. Um. The protests have kind of

938
00:59:10,280 --> 00:59:12,320
Speaker 1: died down to an extent. There's still usually at least

939
00:59:12,360 --> 00:59:15,400
Speaker 1: one or two sometimes more things happening every week. Um,

940
00:59:15,640 --> 00:59:17,600
Speaker 1: but they've been kind of at a lower ebb, which

941
00:59:17,680 --> 00:59:19,960
Speaker 1: is which is fine and pretty normal for something that's

942
00:59:20,000 --> 00:59:24,560
Speaker 1: been going on this long. Um Our mayor uh Ted Wheeler,

943
00:59:24,640 --> 00:59:30,120
Speaker 1: who's terrible, had a big roundtable discussion on white supremacy

944
00:59:30,200 --> 00:59:32,800
Speaker 1: with the city council as part of his bid to

945
00:59:33,080 --> 00:59:36,360
Speaker 1: remain the mayor, and he interrupted it on accident by

946
00:59:36,400 --> 00:59:39,040
Speaker 1: forgetting to mute himself and dictating text messages for his

947
00:59:39,120 --> 00:59:43,560
Speaker 1: reelection campaign, which is both a crime and incredibly dumb. Um.

948
00:59:43,680 --> 00:59:45,640
Speaker 1: And in fact, I'm gonna send Danial that link so

949
00:59:45,760 --> 00:59:47,920
Speaker 1: he can just play us out with that beautiful audio

950
00:59:47,920 --> 00:59:51,880
Speaker 1: because it's very funny. Um. He's behind eleven points according

951
00:59:51,920 --> 00:59:55,400
Speaker 1: to a recent poll. So funk that guy. Um. Also,

952
00:59:55,520 --> 00:59:57,680
Speaker 1: there was a really cool rally in Seattle where like

953
00:59:57,840 --> 01:00:01,720
Speaker 1: hundreds of black block anarchists allied. Um. It was a

954
01:00:01,800 --> 01:00:04,600
Speaker 1: big old surprise. It was very disciplined, the messaging was

955
01:00:04,680 --> 01:00:06,960
Speaker 1: really solid. It was like a really good example of

956
01:00:07,040 --> 01:00:10,040
Speaker 1: like pointing it like the kind of like the very

957
01:00:10,120 --> 01:00:13,840
Speaker 1: consistent messaging was that like, we are anti fascist and

958
01:00:13,960 --> 01:00:17,360
Speaker 1: we are for Black Lives Matter, and those two can't

959
01:00:17,400 --> 01:00:20,800
Speaker 1: be extricated from each other because if you're against fascism,

960
01:00:21,120 --> 01:00:24,080
Speaker 1: you have to support Black Lives Matter because it's fundamentally

961
01:00:24,120 --> 01:00:28,600
Speaker 1: a movement against a fascist, authoritarian strain of race based

962
01:00:28,680 --> 01:00:30,800
Speaker 1: violence in the United States. It was a good, good,

963
01:00:30,920 --> 01:00:34,960
Speaker 1: rally important messaging. Um. I don't think it made the

964
01:00:35,000 --> 01:00:38,680
Speaker 1: news because a bunch of anarchists did something that was

965
01:00:39,640 --> 01:00:45,480
Speaker 1: not easy to propagandize negatively. But um, pretty good news

966
01:00:45,920 --> 01:00:49,240
Speaker 1: compared to the horrible news that's been happening for weeks. Yeah,

967
01:00:50,120 --> 01:00:55,480
Speaker 1: pretty good news. Yeah. So maybe it'll all be ship

968
01:00:55,640 --> 01:00:58,960
Speaker 1: after this, who knows. But for this week, we're focusing

969
01:00:59,000 --> 01:01:01,520
Speaker 1: on pretty good news. Yeah, for the next hour and

970
01:01:01,680 --> 01:01:08,960
Speaker 1: forty five minutes at least until that, right, who knows. Um, Yeah, well,

971
01:01:09,120 --> 01:01:11,600
Speaker 1: I think that's it for us today. You guys can

972
01:01:11,720 --> 01:01:15,040
Speaker 1: check us out online at Worst Year Pod on Twitter

973
01:01:15,240 --> 01:01:23,520
Speaker 1: and in Stuck Graham. Yeah, sexy photos stuff. Check out

974
01:01:23,640 --> 01:01:26,080
Speaker 1: my stories and my reels and my TikTok's I don't

975
01:01:26,120 --> 01:01:30,919
Speaker 1: TikTok and you know, I don't know. Hang in there, Yeah,

976
01:01:31,000 --> 01:01:35,680
Speaker 1: hang in there and check Yeah. Ted Wheeler, would you

977
01:01:35,800 --> 01:01:39,720
Speaker 1: mind playing us out With that in mind, we'd like

978
01:01:39,800 --> 01:01:42,280
Speaker 1: to open up the discussion with a few thoughts either way.

979
01:01:42,440 --> 01:01:46,720
Speaker 1: Are you going through my emails on my campaign email account,

980
01:01:46,840 --> 01:01:49,200
Speaker 1: question mark? It seems like there's a lot of emails

981
01:01:49,280 --> 01:01:51,600
Speaker 1: there that are relevant comment And I don't know if

982
01:01:51,640 --> 01:01:57,120
Speaker 1: they're in the year four as well. Par um Mary,

983
01:01:57,120 --> 01:01:58,959
Speaker 1: I think you need to meet yourself. Yeah, I'm sorry

984
01:01:59,000 --> 01:02:02,600
Speaker 1: about that. I apology as it was multitasking. No, it

985
01:02:02,880 --> 01:02:09,240
Speaker 1: depleted anything happy for their questions, everything, so dumb man.

986
01:02:09,320 --> 01:02:15,800
Speaker 1: It's not again. I tried. Worst Year Ever is a

987
01:02:15,840 --> 01:02:18,480
Speaker 1: production of I Heart Radio. For more podcasts from my

988
01:02:18,560 --> 01:02:21,600
Speaker 1: heart Radio, visit the i heart Radio app, Apple Podcasts,

989
01:02:21,720 --> 01:02:23,520
Speaker 1: or wherever you listen to your favorite shows.