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Speaker 1: Hello the Internet, and welcome to Season one, Episode five

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Speaker 1: guys production of My Heart Radio. This is a podcast

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Speaker 1: where we take a deep dive into America's share consciousness

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Speaker 1: and say, officially, off the top, fuck Coke brother fu,

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Speaker 1: fuck Fox News, fuck Rush limpbuck that Shapiro, Funcker Carlson,

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Speaker 1: fuck J. K Rowling, and fuck Fondance especially. We really

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Speaker 1: decided to respect on that simultaneous fancy get that fancy

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Speaker 1: ship out of here. You give me Betty Crocker out

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Speaker 1: of a can? Oh? Yeah, did you ever get that

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Speaker 1: ship even like like it was just with your fingers

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Speaker 1: out of all? Of course, have taken a full one

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Speaker 1: to the dome. No, but I will after you challenged me.

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Speaker 1: I used to eat Nestley quick quick powder, just in spoon,

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Speaker 1: just dry lines, just doing you know how it is anyway, guest,

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Speaker 1: unnamed guest, what were you going to say that you've

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Speaker 1: never on that either? I thought you were talking about

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Speaker 1: eating out of a can of Fonda. I think you

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Speaker 1: have to the emergency O. Yeah. I think they sell

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Speaker 1: that founded mostly at home depot out of like where

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Speaker 1: they do building material. It's yeah, that ship is gross.

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Speaker 1: It's Friday, October six, My name's Jack O'Brien. A K.

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Speaker 1: What's with these lib cox dis in my girl Amy

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Speaker 1: coney Bara? What did she ever due to the left

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Speaker 1: to make them hate her? Gut? That's it. That's courtesy Christie.

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Speaker 1: I'm a Gucci slaying because it's Halloween. Uh and I'm

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Speaker 1: thrilled to be joined as always by my co host

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Speaker 1: Mr Miles. Grab message from Iceland. Okay, oh, this fuckery

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Speaker 1: thatments part of the plot. Coincidence makes sense because you

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Speaker 1: follow que you don't have to speak. I know you're

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Speaker 1: races and scared. Okay, shout out to my brain who

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Speaker 1: could not sleep in the middle of the night, and

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Speaker 1: I just said, you know what, York yoga, let's do it.

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Speaker 1: Make it about Raphuckory. So yeah, I'm feeling good. It

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Speaker 1: was beautiful. Thank you. You know yo a York you

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Speaker 1: know she You don't know. I funked with York and heavy.

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Speaker 1: People don't know this about me. What listeners can't fully

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Speaker 1: appreciate is that when you are doing a one of

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Speaker 1: these a K s where you fully embody the singer

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Speaker 1: like you, you take on the physicality of York. It

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Speaker 1: was it's the only well, you can't be lazy with York. Yeah,

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Speaker 1: you can't b bro out with a Buyork voice coming

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Speaker 1: out of your head. It's like, you can't be all

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Speaker 1: this fuckery that hap is part of the Plato. It's like,

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Speaker 1: you have to give us some respect. Wait, this video

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Speaker 1: doesn't go up anywhere. Okay, eight percent of that was

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Speaker 1: wasted because was in his physical performance, the fact that

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Speaker 1: he's wearing a Swan dress. We are thrilled to be

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Speaker 1: joined in our third seat by that mysterious voice you here.

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Speaker 1: He is the hilarious, the talented, the best selling author,

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Speaker 1: my former co host at the Cracked podcast, one of

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Speaker 1: the smartest dudes out there, Mr Jason par jay I

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Speaker 1: was on here in May. I think, and I can't

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Speaker 1: tell if that feels like ten years ago or last week.

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Speaker 1: On one hand, it feels like a different era. On

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Speaker 1: the other hand, so little has changed because I'm looking

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Speaker 1: at like the stuff I've I'm going to ask about,

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Speaker 1: like COVID, and it's the same damn questions we were

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Speaker 1: asking about it in the spring, and man, I did

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Speaker 1: not think it was still going to be a thing

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Speaker 1: in mid October. I did not. Yeah, it's wild when

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Speaker 1: you think about things that happened earlier this year. They

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Speaker 1: both seem like they happened a long time ago, and

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Speaker 1: uh like I was looking at the most popular Halloween

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Speaker 1: costumes and Harley Quinn is number three, and that I

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Speaker 1: was like, oh right, because Birds of Prey came out

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Speaker 1: this year, which both seems impossible because that seems like

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Speaker 1: a decade ago, but also it's like, yeah, that was

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Speaker 1: like the last movie to come out in movie theaters.

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Speaker 1: It's time makes no sense. And it's the same thing

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Speaker 1: like when when the Lakers one and then Anna like

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Speaker 1: sent that tweet though saying like Kobe died like eight

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Speaker 1: twenty four days ago and for a second believe it,

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Speaker 1: but you're like, no, that was January of this year.

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Speaker 1: But it honestly, I was like, yeah, that might have

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Speaker 1: been two years ago. Yeah, yeah, yeah, uhh yeah. But

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Speaker 1: nothing has happened everything, and nothing has happened where a

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Speaker 1: lot of the same thing has happened is maybe what

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Speaker 1: it is. All Right, Jason, we're gonna get to know

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Speaker 1: you a little bit better in a moment. First, we're

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Speaker 1: gonna tell our listeners a couple of things we're talking

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Speaker 1: about today. So first of all, we are Miles and

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Speaker 1: I are going to time travel into the future, into

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Speaker 1: your future. We're gonna watch Miles is gonna watch the

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Speaker 1: Joe Biden town hall. I'm gonna watch whatever happens on NBC, uh,

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Speaker 1: the Apprentice reunion whatever whatever that ends up being, and

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Speaker 1: we're gonna recap that in our act too. We're also

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Speaker 1: gonna when Jason comes on, his likes, his underrated, his overrated,

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Speaker 1: His myths are always a meal, so it's gonna be

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Speaker 1: a lot of that. We might talk about what one

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Speaker 1: lstairs predicting about Trump winning in We're gonna talk about,

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Speaker 1: if we get to it, the most popular Halloween costumes, uh,

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Speaker 1: and how that deep state investigation from Bill Bard didn't

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Speaker 1: bear any fruit and so we got the Peter Biden

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Speaker 1: New York Post story and stood with the Bridge. All

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Speaker 1: that plenty more. First, Jason, we like to ask our guest,

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Speaker 1: what is something from your search history that is revealing

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Speaker 1: about who you are? From about three days ago, do

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Speaker 1: Bandana's work as COVID masks? Because there was an article

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Speaker 1: that I vaguely remember. It turned out it was from August,

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Speaker 1: but it could have been from June, it could have

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Speaker 1: been from last week. It turned out it was from August.

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Speaker 1: Where there was a study where they showed that neck gators,

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Speaker 1: which I didn't know that word until but like the

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Speaker 1: whatever the material to make those OUTBC runners where that

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Speaker 1: they and other cloth things bandanas, just putting your T

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Speaker 1: shirt of your face is actually worse than no mask

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Speaker 1: because it's just breaking up droplets into smaller particles that

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Speaker 1: travel further. And that if you're not using a mask

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Speaker 1: type mask, multiple layers, that that's actually worse than nothing.

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Speaker 1: So I was googling to see if that turned out

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Speaker 1: to be true, and apparently according to Web and Deep,

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Speaker 1: according to CDC, they're back to I guess what they

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Speaker 1: were saying in the spring, that having something is still

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Speaker 1: better than nothing. But the real mask is one where

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Speaker 1: you should feel it restricting your breathing somewhat like people

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Speaker 1: like the neckgators and bandanas because they don't feel like anything.

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Speaker 1: It's like it's like I'm wearing nothing at all. I

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Speaker 1: can run in this and it feels great because it

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Speaker 1: doesn't walk my breathing at all. It's like that's the problem.

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Speaker 1: It needs to You need to feel it redirecting the

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Speaker 1: air and because that's that's when it's actually stopping droplets too. Yeah,

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Speaker 1: It is amazing how little we like there's been so

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Speaker 1: much news, so much news coverage of uh, you know,

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Speaker 1: the pandemic, and yet it feels like we've had, you know,

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Speaker 1: a handful of studies on like how this thing actually

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Speaker 1: transmits that are worthy of committing to memory. My interpretation

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Speaker 1: of that masks study was that, like we it's worse

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Speaker 1: because people are more confident when they have like just

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Speaker 1: a T shirt over their face. We actually had one

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Speaker 1: of our producers had to like be at a location

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Speaker 1: scout and there was like a Hollywood producer who was

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Speaker 1: out there with a silk scarf wrapped around their face

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Speaker 1: and just like acting like the things were, Um, it

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Speaker 1: was all good. They were they were in a hazmat suit. Jesus.

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Speaker 1: But yeah, that's all now that I think about it,

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Speaker 1: that's all just based on my vague understanding. Yeah, well

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Speaker 1: that everything. There's even like I remember in the beginning

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Speaker 1: of September, there was like this theory that came out

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Speaker 1: in the New England Journal of Medicine where they even

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Speaker 1: thinking masks were giving people like immunity because it was

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Speaker 1: giving people such a small viral dose that it would

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Speaker 1: trigger like an immunity response. Like, so it's so hard

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Speaker 1: to know what until anything is certain. It's so it's

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Speaker 1: just so hard to know, like what's the safest thing

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Speaker 1: aside from like you know, like masking up with surgical

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Speaker 1: masks or nine and things like that. But I do

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Speaker 1: think that one is right because it was New England

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Speaker 1: Journal Medicine. Yeah, I mean it's a theory and like

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Speaker 1: a lot of people haven't pushed back, but it's not

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Speaker 1: they're not they're being like, Okay, this is what's happening,

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Speaker 1: but they're seeing some kind of correlation there. But all

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Speaker 1: that to say is like everything is constantly influx regarding

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Speaker 1: our knowledge of it. And part of the problem is

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Speaker 1: it's the same problem with trying to study the effectiveness

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Speaker 1: of something like condoms, is that you're assuming people a

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Speaker 1: are telling the truth about how they used it. Like

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Speaker 1: like a lot of the high failure rate with condoms

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Speaker 1: as guy saying oh absolutely, I I never I've gotten

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Speaker 1: six women pregnant. I wear a condom every time because

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Speaker 1: they don't, you know, they don't sneak into your home

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Speaker 1: and record you. That's against the law. Um, And so

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Speaker 1: you're based on self reporting. And then the other thing

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Speaker 1: is that with human nature. Are you wearing it correctly?

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Speaker 1: Did you maybe pull it aside to talk on the phone,

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Speaker 1: blah blah blah, like all the condom. Yeah, a lot

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Speaker 1: of people got the nose peeking out again. Yeah, okay,

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Speaker 1: all right, the same same logic. It just feels better.

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Speaker 1: It just feels better like this under my nose. But

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Speaker 1: that's that's the rough part because with any mask, it's

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Speaker 1: always based on the assumption that you're wearing it perfectly

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Speaker 1: or even see people like wearing the mask that I

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Speaker 1: now buy the disposable ones, but they you've got around

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Speaker 1: your ears, they bunch up at the sides. You breathe out,

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Speaker 1: your air is puffing out past your ears. So somebody

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Speaker 1: standing right behind you. And if you're saying, well, isn't

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Speaker 1: by study that no that it takes that there's not

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Speaker 1: that much data out there. Yeah, there's you pointed out

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Speaker 1: in a side note that like what one of the

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Speaker 1: things that they've found is that singing, talking or exercising inside,

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Speaker 1: like anything that involves heavy breathing is like the six

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Speaker 1: ft of distance is not enough and yet like you

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Speaker 1: still see just that sort of spacing wherever you go,

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Speaker 1: Like that six ft of distances is the magic distance,

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Speaker 1: I guess. I mean even the vape cloud competitions, they're

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Speaker 1: respecting the socially did they're putting twenty ft in between,

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Speaker 1: and it should be more like twenty ft. But it's

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Speaker 1: this is something we've known for a while, but I

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Speaker 1: feel like it never penetrated into the average person the

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Speaker 1: way that like washing your hands for twenty seconds. Everybody

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Speaker 1: learned that masks. Everybody's learned. But this thing about how basically,

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Speaker 1: if you're doing anything indoors, if you're eating indoors, if

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Speaker 1: you're in church, if you're in a gym, ventilation is everything.

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Speaker 1: And the thing is, if you're listening to this, you're saying, well,

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Speaker 1: how the hell do I know how my gym ventilates?

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Speaker 1: How do I know what ventilation system my church has.

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Speaker 1: That's the point, you don't like, there's no risk free.

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Speaker 1: This is why it is different dining outdoors than it

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Speaker 1: is inside, because once you're inside, this virus can you

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Speaker 1: can get enough of it through aerosol droplets that spread

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Speaker 1: further than six ftcause not just a big sneeze droplets.

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Speaker 1: It's the talking and breathing hard and singing droplets, or

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Speaker 1: if you're in a bar shouting over the music. This

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Speaker 1: is why bars are such a nightmare. But I've got

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Speaker 1: a link here to where they had basically a super

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Speaker 1: spreader event at a it's like a spin studio in

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Speaker 1: Ontario where I think they've traced sixty one infected and

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Speaker 1: exposed another hundred on top of that something like that.

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Speaker 1: Because at a spin cycle or at a spin come

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Speaker 1: on one more hill, motherfucker. They were following all the

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Speaker 1: CDC guidelines putting the bike six ft apart capacity masks

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Speaker 1: on before and after the class. So at the you know,

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Speaker 1: at the desk, you know you're all the other times

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Speaker 1: you're cleaning up, you've got the mask on. They did

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Speaker 1: everything right, disinfected all the equipment, everything, or at least

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Speaker 1: a claim they did. But it doesn't matter. We now know,

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Speaker 1: we well know that if you're circulating the same air

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Speaker 1: for a long time, you know, an hour however long

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Speaker 1: you're in there, that's high that's super high risk. This

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Speaker 1: is why bars are the worst thing you can do.

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Speaker 1: This is why that church is anything like that. A

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Speaker 1: lot of people indoors long time doing things with your

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Speaker 1: mouth open, talking, singing, whatever. Yeah, what is something you

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Speaker 1: think is underrated Jason, So today I guess, uh, dr

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Speaker 1: Is Founci cracked? Am I saying his name? Right? You

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Speaker 1: nailed it? Okay, that's how you say it? How would

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Speaker 1: you say fossy? Like? Oh man, I have really embarrassed

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Speaker 1: myself at that spin class. I'm telling I'm telling you

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Speaker 1: you nailed it in terms of what my understanding is

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Speaker 1: based on how I've been pronouncing it inside my head

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Speaker 1: when I read it. I've read it ten thousand times.

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Speaker 1: I may not have said it out woud until just

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Speaker 1: right now, but anyway, he came out and said in

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Speaker 1: an interview I think with CBS mentioned off hand that hey,

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Speaker 1: if you're planning a Thanksgiving and get together, um, you

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Speaker 1: know you may want to avoid that because again, just

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Speaker 1: where I described a bunch of people, twelve people, however,

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Speaker 1: many sitting around a table for hours on end, a

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Speaker 1: lot of them elderly. You're there with grandma and it's

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Speaker 1: going to be cooler, suscremy doors like that's these are

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Speaker 1: spreader events. I wrote a column and Cracked a couple

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Speaker 1: of months ago saying that we are underrating what a

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Speaker 1: nightmare Christmas might be because we already are seeing what

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Speaker 1: we were afraid of, which is cases starting to go

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Speaker 1: up when the air got a little bit cooler, because

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Speaker 1: people who used to jog outdoors now taking it inside

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Speaker 1: to the gym. People used to be happy eating outdoors

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Speaker 1: now asking to eat inside in the dining room, you know.

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Speaker 1: And as it gets colder, more and more people do

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Speaker 1: stuff indoors and they you know, this even happened with

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Speaker 1: the Spanish flute. There was a second huge wave in

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Speaker 1: the winter. So this is something we've known was coming

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Speaker 1: for a long time. So when I say Christmas maybe

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Speaker 1: a nightmare, I don't mean that a lot of people

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Speaker 1: will die of the virus. I mean if hypothetically Trump

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Speaker 1: loses the election, and then if you know, again, Fox

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Speaker 1: News has always been in war on Christmas mode that

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Speaker 1: the Liberals want to kill Christmas. So if you suddenly

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Speaker 1: get these Democratic governors and mayors saying, hey, we are

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Speaker 1: canceling Christmas plays, parties, like gatherings of more than X

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Speaker 1: number of people were canceling it because we're in the

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Speaker 1: middle of the second spike, that is absolutely going to

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Speaker 1: hit Fox News as Joe Biden not even in office

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Speaker 1: yet and it's already outlawed Christianity and they're using covid

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Speaker 1: as as they veiled, and so already you see you know,

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Speaker 1: protest against mask stuff. Wait until they have to gather

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Speaker 1: to prove that they are trying to keep Christmas alive

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Speaker 1: against the communists and the godless uh liberals, far ultra

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Speaker 1: far left who are trying to kill it. M hmmm.

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Speaker 1: I could even see it been on Black Friday where

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Speaker 1: they're like, let a shop. Oh, that's definitely going to

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Speaker 1: we need these deals because I know that's like another

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Speaker 1: thing all these stories are trying to figure out. They're like,

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Speaker 1: how are we going to do this? Because we sell

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Speaker 1: a ton of ship but I guess it'll be online,

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Speaker 1: but also kind of want the door. I don't know,

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Speaker 1: it's all yeah. The thing that's like, really I'm curious

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Speaker 1: to see is how like because New York like seems

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Speaker 1: to be really I was reading an article about how

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Speaker 1: New York's Korea Town was doing it just an amazing job,

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Speaker 1: like immediately adapting to outdoor dining and doing it relatively responsibly. Um,

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Speaker 1: but Koreatown yeah yeah yeah and two square blocks so

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Speaker 1: yeah but yeah yeah yeah, but it was just but

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Speaker 1: they were very much focused like it was cool because

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Speaker 1: like they had decked out their outdoor dining like they

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Speaker 1: very much made it feel like a vibe even though

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Speaker 1: you were eating outside. But like, yeah, what how that

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Speaker 1: transition works into the winter months, because of course everyone's like,

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Speaker 1: are we just gonna put everything on heaters and like

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Speaker 1: risk of massive tent fire or something one day. I

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Speaker 1: don't know, It's just all so many things happening at

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Speaker 1: ones Yeah, And I mean what we've seen to this

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Speaker 1: point is that people would rather you know, flout the

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Speaker 1: recommendations of the government and scientists then uh not. And

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Speaker 1: so we might see people getting sick and dying. I

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Speaker 1: guess it would not be at Christmas, but it would

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Speaker 1: be in early well. But I mean if people thanksgiving

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Speaker 1: something normally, on a normal Thanksgiving, something like thirty million

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Speaker 1: people travel, so normally we flood, you know, like air

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Speaker 1: travel is still like pre COVID levels right now. But

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Speaker 1: I mean Thanksgivings when people fly home to see the family,

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Speaker 1: and it will be family that many of them have

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Speaker 1: not seen, literally since the last Christmas. So if a

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Speaker 1: lot of those people I have decided, well, this will

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Speaker 1: be the thing I'll travel for. This is what I'll

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Speaker 1: pack an airplane for. Well, everything I just said about ventilation,

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Speaker 1: and you're sealed inside of a tube for six hours,

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Speaker 1: seven hours, ten hours, however far you're you're line, plus

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Speaker 1: the time you spend on the tarmac. Um all those

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Speaker 1: people gathered in airports, all those people getting on planes,

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Speaker 1: all those people then gathering at grandma's house house with

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Speaker 1: twelve other family members. You just need one infected person

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Speaker 1: on that plane and then all of those people will

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Speaker 1: leave that party and will fly back to six different

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Speaker 1: states where they came from, carrying the infection with them.

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Speaker 1: So if that occurs in you know, late November Thanksgiving,

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Speaker 1: then by the time Christmas comes, that's when the way

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Speaker 1: it could be hitting. And I'm not trying to scare

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Speaker 1: people with like an apocalypse scenario, but the truth is,

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Speaker 1: I had, up till like this this podcast recording, had

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Speaker 1: been assuming I would see my family at Thanksgiving, at Christmas.

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Speaker 1: I've got some elderly relatives where you don't know if

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Speaker 1: this is going to be their last one. You can't,

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Speaker 1: especially now with the pandemic on that targets elderly people

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Speaker 1: you don't know. And if any of them are listening

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Speaker 1: to this, I'm you. I'm not talking about you, specifically

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Speaker 1: I'm talking about someone else the other one. You know,

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Speaker 1: it's not a minor. It's not a minor, Like I'm

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Speaker 1: happy to not eat at restaurants for a while. I

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Speaker 1: I you know, I didn't go to that many movies.

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Speaker 1: I don't go to bars. There's a lot of things

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Speaker 1: like it was easy for me to get up, but

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Speaker 1: the idea that I'm not going to travel to go

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Speaker 1: see family, and knowing that I have no idea when

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Speaker 1: it will be okay to do it again. I may

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Speaker 1: be one of those people who don't join the protest right,

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Speaker 1: but just quietly do it and get a test, because

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Speaker 1: I can get a test here and get a test

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Speaker 1: and get results back. But just usually the next day

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Speaker 1: I get tested, and then I would keep myself indoors

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Speaker 1: and I would go Yeah, there's a lot of motivation

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Speaker 1: to like even from my own social social circle, where

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Speaker 1: a lot of people who are transplants or have family

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Speaker 1: around the country have been looking at this like I'm

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Speaker 1: not fucking not seeing my family at Christmas, like, you know,

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Speaker 1: for people who have like that tradition of getting together

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Speaker 1: on the holidays, like it seems like a lot of

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Speaker 1: you know, for better or worse, this mentality of like

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Speaker 1: this won't stop our family, but it's it's such a

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Speaker 1: such a risk right now. Still so yeah, it's uh sy, Yeah.

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Speaker 1: So I there wasn't much pushed back. As far as

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Speaker 1: I can tell, nobody else noticed this quote from Fauci.

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Speaker 1: I think if he comes back in a few weeks

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Speaker 1: and says, oh, by the way, same thing in Christmas,

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Speaker 1: like your Christmas play the church thing you do where

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Speaker 1: they get everybody together and you sing the songs like

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Speaker 1: don't don't do that, that's I think when it will

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Speaker 1: be a craft storm. That's why I think now it

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Speaker 1: could be wrong. It could be that at Fox News

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Speaker 1: and all of those circles, I say, you know what,

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Speaker 1: let's tone down the outrage this year, even though it's

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Speaker 1: going to cost us some ratings like the bench of

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Speaker 1: Pier of the World. They're gonna say, you know what,

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Speaker 1: we don't need to be a grifter today. Yeah, not today,

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Speaker 1: not when our democracy and lives are at stake, because ultimately,

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Speaker 1: are we all Americans? They'll say, they'll do we have

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Speaker 1: to act outraged at every little thing that comes down

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Speaker 1: the pipe. Can we just tell people, look, the War

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Speaker 1: on Christmas thing was always kind of a griff. We

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Speaker 1: never actually meant it. Nobody thought Christmas was in danger,

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Speaker 1: so ease, it will be like the World War One

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Speaker 1: Christmas Day, uh soccer game where everybody is just like,

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Speaker 1: hey guys, let's all sing together for one day and

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Speaker 1: right back to trench warfare, play soccer on the frozen

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Speaker 1: dead bodies. Oh man, that story that everybody talks about

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Speaker 1: is heartwarming, is pretty pretty horrifying when you think about it.

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Speaker 1: I think most people just realized, look, as long as

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Speaker 1: there's money to be made on Christmas, it's not going

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Speaker 1: fucking anywhere. Just remember that, right. But that's also the

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Speaker 1: problem because if you don't think there's gonna be some

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Speaker 1: lobbying on the part of everyone who profits not just

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Speaker 1: from the gift stuff, but from the selling the turkeys

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Speaker 1: and the cranberry sauce and all the stuff they you know,

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Speaker 1: all the candy and all the stuff that's expected to

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Speaker 1: be there, the pies. Uh there's they have very much

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Speaker 1: have a motivation to push let's let's let's let Christmas

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Speaker 1: be our official The pandemic is over holiday, right, because

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Speaker 1: this is there are some retailers out there were thirty

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Speaker 1: percent of their income they make it Christmas, and that's

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Speaker 1: that's common. You know, this is the amery kind of

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Speaker 1: economy pivots around Christmas. So again, as much as we've

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Speaker 1: heard concern about the theater is going out of business

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Speaker 1: and the airline struggling, boy, wait until there's talk of

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Speaker 1: of Christmas revenue being cut in half or whatever it

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Speaker 1: would it would be if people were just mailing gift

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Speaker 1: cards to each other. It's Ah, we've talked before, Jason.

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Speaker 1: You've talked about how you wrote You wrote a column

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Speaker 1: back when we were both at cracked about how Christmas

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Speaker 1: is basically a like it goes back before Christianity, is

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Speaker 1: like a winter solstice holiday that is the like coldest

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Speaker 1: deadliest day of the year where humans like gather together

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Speaker 1: indoors to celebrate the fact that that nature has haven't

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Speaker 1: been able to kill them just yet. Um. So that's

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Speaker 1: like kind of drilled into us. It's also like mating

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Speaker 1: season if you look at the most common time for

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Speaker 1: humanity for Yeah, So it's ingrained the the idea that

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Speaker 1: we all get together indoors um and you know, have

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Speaker 1: traditions and celebrate traditions together. Like that's deeply, deeply ingrained

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Speaker 1: in in human history and in our culture, possibly in

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Speaker 1: our psyche. So you can even see it now, how

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Speaker 1: many nonreligious people have no problem with Christmas. They don't

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Speaker 1: even view it as a religious holiday. At Santa Claus

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Speaker 1: and the tree and gifts and yeah, you know there's

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Speaker 1: atheist celebrate Christmas. It feels right. And when yeah, when

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Speaker 1: the Roman Empire made everyone be Christian, like when they

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Speaker 1: would go to these places and they're like, well, we

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Speaker 1: you know, we're not going to cancel our winter festival.

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Speaker 1: They're like, that's fine, It's it's Christmas now, that's we're

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Speaker 1: just gonna rename it because again, it's the same deal.

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Speaker 1: Like they they had an economy revolving around their December

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Speaker 1: or whatever get together and it's like, well, we're we'll

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Speaker 1: give up our religion, but we're not going to give

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Speaker 1: up this. It's like, that's fine, you can keep the

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Speaker 1: same holidays. It's a celebration of our triumph over wilderness

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Speaker 1: that we celebrate by beheading something from the wilderness and

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Speaker 1: dragging it indoors and dancing and singing around it. Yeah,

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Speaker 1: all right, let's take a quick break and we'll be

427
00:24:33,760 --> 00:24:49,480
Speaker 1: right back. And we're back and Jason what is something

428
00:24:49,520 --> 00:24:53,080
Speaker 1: you think is overrated. This is something I've been banging

429
00:24:53,119 --> 00:24:56,520
Speaker 1: the drum about for like four straight years. The concept

430
00:24:56,600 --> 00:24:59,520
Speaker 1: of gas as in like them when a politician or

431
00:24:59,560 --> 00:25:03,080
Speaker 1: a canada it says something dumb in public. Those like

432
00:25:03,160 --> 00:25:06,479
Speaker 1: the concept that that's something that matters and will actually

433
00:25:06,520 --> 00:25:11,600
Speaker 1: sink a candidate. Trump has killed that forever, okay, And

434
00:25:11,640 --> 00:25:15,359
Speaker 1: I'm I'm glad because Twitter loves this. If Trump misspells

435
00:25:15,400 --> 00:25:18,000
Speaker 1: a word in a tweet, that misspelled word will trend

436
00:25:18,240 --> 00:25:23,000
Speaker 1: all day. And I'm telling you I watched for three

437
00:25:23,080 --> 00:25:26,359
Speaker 1: and a half years when everyone was like, oh, fe

438
00:25:26,760 --> 00:25:29,560
Speaker 1: that's going to be the thing that alerts America that

439
00:25:29,640 --> 00:25:32,960
Speaker 1: this man is a moron. It doesn't work like that anymore.

440
00:25:33,560 --> 00:25:36,240
Speaker 1: The average American actually find it kind of endearing when

441
00:25:36,280 --> 00:25:39,199
Speaker 1: you're not polished as a politician. For whatever reason. In

442
00:25:39,200 --> 00:25:41,720
Speaker 1: the modern era, we we we kind of like it

443
00:25:41,760 --> 00:25:43,119
Speaker 1: when they screw up. And it was the same thing

444
00:25:43,119 --> 00:25:45,560
Speaker 1: of the primaries, and they're like, Biden is a gas machine.

445
00:25:45,600 --> 00:25:48,680
Speaker 1: He he can't string together two sentences without getting the

446
00:25:48,760 --> 00:25:50,720
Speaker 1: name of the city he's in, wrong or something like that.

447
00:25:51,480 --> 00:25:56,280
Speaker 1: Nobody cares. Let that be dead forever, because what happened

448
00:25:56,280 --> 00:25:59,960
Speaker 1: with Trump, where his numbers didn't. It took a worldwide

449
00:26:00,200 --> 00:26:04,840
Speaker 1: apocalypse to make his approval moved down by like the

450
00:26:04,960 --> 00:26:07,720
Speaker 1: four points that required to give the other candidate a

451
00:26:07,840 --> 00:26:10,399
Speaker 1: lead and some kind of substantial lead in the polling,

452
00:26:11,680 --> 00:26:15,080
Speaker 1: but the twenty thousand gaffs he committed did not do

453
00:26:15,119 --> 00:26:19,159
Speaker 1: that at all. Yes, in general, it's like seems like

454
00:26:19,200 --> 00:26:22,560
Speaker 1: nothing even attacks from their right about like the behavior

455
00:26:22,720 --> 00:26:25,919
Speaker 1: of politicians who are Democrats, just like they ring so hollow,

456
00:26:25,960 --> 00:26:28,840
Speaker 1: and it's like, I think this is where past all

457
00:26:28,920 --> 00:26:31,280
Speaker 1: of this now because you're so craven over there, like

458
00:26:31,320 --> 00:26:34,359
Speaker 1: the fact that Europe set I'm having a failure to

459
00:26:34,359 --> 00:26:36,919
Speaker 1: connect to the outrage that the people on the right have,

460
00:26:37,520 --> 00:26:39,479
Speaker 1: you know, like for even like with the Hunter Biden

461
00:26:39,560 --> 00:26:41,720
Speaker 1: things where they're like, oh, this will get them, and

462
00:26:41,760 --> 00:26:45,040
Speaker 1: it's like, no, everyone's completely numb to everything. Actually, I

463
00:26:45,040 --> 00:26:47,320
Speaker 1: feel like it it might motivate your base, but I

464
00:26:47,320 --> 00:26:49,760
Speaker 1: don't know if it's not that effect of like, oh god,

465
00:26:49,800 --> 00:26:53,760
Speaker 1: did you guys see this thing? It's lights out for them? Huh. Right,

466
00:26:54,400 --> 00:26:57,199
Speaker 1: there was an underage a woman who had claimed that

467
00:26:57,200 --> 00:27:00,240
Speaker 1: Trump had sexually assaulted her when she was underage. That

468
00:27:00,600 --> 00:27:03,399
Speaker 1: story just came and went in a blip like no

469
00:27:03,440 --> 00:27:05,560
Speaker 1: one listening, he even knows what I'm talking about, Like

470
00:27:05,600 --> 00:27:08,520
Speaker 1: it just like something that would have been a show

471
00:27:08,520 --> 00:27:11,399
Speaker 1: stopper twenty years ago. And then the New York Times

472
00:27:11,400 --> 00:27:14,439
Speaker 1: did this huge breakdown about how Trump was basically just

473
00:27:14,600 --> 00:27:17,800
Speaker 1: using the White House to divert money to his businesses,

474
00:27:17,840 --> 00:27:21,359
Speaker 1: and they probably devoted a hundred and fifty thousand dollars

475
00:27:21,359 --> 00:27:24,040
Speaker 1: and resources and reporting in man hours putting it together,

476
00:27:24,400 --> 00:27:26,880
Speaker 1: and no, it trended for like an hour. I saw

477
00:27:26,920 --> 00:27:29,520
Speaker 1: a few like political types on Twitter tweeting It's like, oh,

478
00:27:29,560 --> 00:27:31,960
Speaker 1: this is great reporting. It's a great breakdown at the

479
00:27:32,359 --> 00:27:37,560
Speaker 1: level of corruption here. The fly on Mike Pence's head

480
00:27:37,600 --> 00:27:40,320
Speaker 1: trended longer than than that. I mean, but that thing

481
00:27:40,359 --> 00:27:43,000
Speaker 1: was hilarious. That think it was. It was sitting there

482
00:27:43,240 --> 00:27:49,280
Speaker 1: and it didn't even leave boarding to dreams. Um. Yeah,

483
00:27:49,400 --> 00:27:53,520
Speaker 1: I I do think that it's some sometimes, like because

484
00:27:53,640 --> 00:27:59,000
Speaker 1: people do do say that Hillary Clinton's email, like the

485
00:27:59,400 --> 00:28:02,680
Speaker 1: fact that Homey opened up reopened that investigation a week

486
00:28:02,840 --> 00:28:09,320
Speaker 1: before the election had an impact on on voters, And

487
00:28:09,960 --> 00:28:14,119
Speaker 1: I think it's something to do with like how the

488
00:28:14,160 --> 00:28:19,040
Speaker 1: negative story interacts with like what we suspect about that

489
00:28:19,119 --> 00:28:22,640
Speaker 1: person and or like what people suspect and like what

490
00:28:22,720 --> 00:28:27,959
Speaker 1: the overall negative feelings are, like with the Rick Perry

491
00:28:28,040 --> 00:28:32,360
Speaker 1: thing where he couldn't name anything, like he's just couldn't

492
00:28:32,440 --> 00:28:35,640
Speaker 1: remember anything like that interacted with the fact that he's

493
00:28:35,680 --> 00:28:38,840
Speaker 1: clearly like not not smart and like propped up by

494
00:28:39,280 --> 00:28:42,560
Speaker 1: speech writers and uh, you know, and then they him

495
00:28:42,600 --> 00:28:49,600
Speaker 1: start wearing glasses after that, Like, um, but what Hillary.

496
00:28:49,720 --> 00:28:51,680
Speaker 1: That's the thing is that that was a culmination of

497
00:28:51,920 --> 00:28:58,719
Speaker 1: literally twenty however many years, twenty some years of anti Hillary,

498
00:28:58,760 --> 00:29:01,760
Speaker 1: anti Clinton likes, our corrupt hatred. Like if you were

499
00:29:01,760 --> 00:29:03,840
Speaker 1: in conservative circles in the nineties, you had like the

500
00:29:03,880 --> 00:29:06,960
Speaker 1: Clinton murder list, like the list of forty nine people

501
00:29:07,000 --> 00:29:10,680
Speaker 1: that Hillary and Bill Clinton had murdered together arranged a

502
00:29:10,760 --> 00:29:13,560
Speaker 1: plane crash was one of them, and like car accidents

503
00:29:13,600 --> 00:29:16,320
Speaker 1: like this made them and in conservative circles like that

504
00:29:16,440 --> 00:29:20,760
Speaker 1: they were these deeply corrupt people, so that even though

505
00:29:20,880 --> 00:29:24,840
Speaker 1: the emails didn't say anything, it was just a signal

506
00:29:24,960 --> 00:29:27,720
Speaker 1: to people who were already ready to hate her. And

507
00:29:27,760 --> 00:29:31,120
Speaker 1: I think that's one lesson we have about now is

508
00:29:31,160 --> 00:29:34,680
Speaker 1: that probably any other candidate, even one chosen at random,

509
00:29:34,760 --> 00:29:39,560
Speaker 1: probably squeaks out that election. Um, but they just uniquely

510
00:29:39,600 --> 00:29:43,480
Speaker 1: hated Hillary so much for a bunch of reasons. Some

511
00:29:43,560 --> 00:29:46,680
Speaker 1: of its sexism, some of it the Clinton's but she

512
00:29:46,840 --> 00:29:48,840
Speaker 1: was like the like in terms of her negatives and

513
00:29:48,840 --> 00:29:51,880
Speaker 1: all that she was. It was the case. They're kind

514
00:29:51,880 --> 00:29:53,760
Speaker 1: of like asking people to hold their nose and vote

515
00:29:53,760 --> 00:29:56,600
Speaker 1: for And that's one reason why this year is different.

516
00:29:56,640 --> 00:30:00,480
Speaker 1: People genuinely do like Biden like that, but you know, again,

517
00:30:00,520 --> 00:30:02,560
Speaker 1: it's the contrast with him and Trump is just so

518
00:30:02,600 --> 00:30:07,760
Speaker 1: strong that maybe anybody would have the same effect. Yeah. Finally,

519
00:30:07,760 --> 00:30:09,720
Speaker 1: what is a myth? What's something people think it's true?

520
00:30:09,760 --> 00:30:13,080
Speaker 1: You know to be false. It's a lose to the

521
00:30:13,160 --> 00:30:17,400
Speaker 1: Christmas thing, but the idea that right wing conspiracy craziness

522
00:30:17,800 --> 00:30:21,600
Speaker 1: will calm down after Trump has gone if if Trump loses,

523
00:30:22,400 --> 00:30:24,760
Speaker 1: because I know that, Like Trump has a thing where

524
00:30:24,760 --> 00:30:28,160
Speaker 1: he intentionally like retweets Q and on memes or that thing.

525
00:30:28,240 --> 00:30:30,120
Speaker 1: What was the thing about the Seal Team six? He

526
00:30:30,160 --> 00:30:32,920
Speaker 1: does read tweeted the other day that that Biden let

527
00:30:32,920 --> 00:30:36,000
Speaker 1: Bin Lodden go and then he killed Seal Team six. Yeah,

528
00:30:36,440 --> 00:30:39,240
Speaker 1: even though those people are all like public figures and

529
00:30:39,280 --> 00:30:41,880
Speaker 1: they have like book deals, are they saying I think

530
00:30:41,880 --> 00:30:44,280
Speaker 1: a couple of them died, like one of them died

531
00:30:44,320 --> 00:30:46,840
Speaker 1: in a car accident or something, and so I think

532
00:30:46,880 --> 00:30:49,800
Speaker 1: there was a helicopter crash involving some of Seal Team

533
00:30:49,840 --> 00:30:53,000
Speaker 1: six later on. But this is like they had the

534
00:30:53,040 --> 00:30:54,680
Speaker 1: dude who took the shot out here and being like

535
00:30:54,800 --> 00:30:58,200
Speaker 1: I'm sorry, Like what, I know what happened? What is

536
00:30:58,240 --> 00:31:02,480
Speaker 1: this ship? Right? So, while it is like with all

537
00:31:02,520 --> 00:31:05,160
Speaker 1: that criticism, that's all valid that like Q and on

538
00:31:05,320 --> 00:31:08,080
Speaker 1: has been boosted by Trump and the same thing like

539
00:31:08,120 --> 00:31:11,120
Speaker 1: these fringe groups like the Proud Boys, that they're boosted

540
00:31:11,120 --> 00:31:14,560
Speaker 1: by Trump. Kind of it does a nod in a wink,

541
00:31:14,600 --> 00:31:19,200
Speaker 1: and it kind of legitimizes them. But I think people's

542
00:31:19,200 --> 00:31:22,200
Speaker 1: memories tend to be really short and they kind of

543
00:31:22,600 --> 00:31:25,600
Speaker 1: maybe don't realize that, like pizza Gate came about during

544
00:31:25,600 --> 00:31:29,240
Speaker 1: the Obama administration based on those emails that were leaked

545
00:31:29,240 --> 00:31:33,000
Speaker 1: from Podesta and that Hillary wiz uh whatever that they

546
00:31:33,000 --> 00:31:35,240
Speaker 1: had that pizza restaurant, and then of course pizza Gate

547
00:31:35,280 --> 00:31:37,960
Speaker 1: became Q and on um and then during the Clinton

548
00:31:38,040 --> 00:31:41,320
Speaker 1: years during the nineties, that's when that right wing militia

549
00:31:41,440 --> 00:31:44,720
Speaker 1: movement that that's when that got started. That culminated in

550
00:31:44,760 --> 00:31:48,000
Speaker 1: the Oklahoma City bombing, of course, killed a hundred and

551
00:31:48,040 --> 00:31:53,520
Speaker 1: seventy people. A yeah, m Alex Jones got his start

552
00:31:53,520 --> 00:31:57,000
Speaker 1: in radio by spreading okay see bombing conspiracy theories, claiming

553
00:31:57,040 --> 00:31:59,080
Speaker 1: it was a Clinton inside job. Like that's how he

554
00:31:59,160 --> 00:32:02,240
Speaker 1: made his name. He started at info Wars. That was

555
00:32:02,280 --> 00:32:06,360
Speaker 1: during the Clinton years. So I think that and the

556
00:32:06,400 --> 00:32:09,440
Speaker 1: saying you know, like those of us around during the

557
00:32:09,440 --> 00:32:12,600
Speaker 1: Obama years, like um, The Daily Show, all of those

558
00:32:12,760 --> 00:32:15,960
Speaker 1: like kind of left wing platforms, they got big by

559
00:32:16,040 --> 00:32:20,400
Speaker 1: making fun of what a crazy conspiratorial turn Fox News

560
00:32:20,400 --> 00:32:23,480
Speaker 1: had taken, right because they had platform Glenn Back and

561
00:32:23,520 --> 00:32:25,959
Speaker 1: he had these conspiracy theories about the tsars. Do you

562
00:32:25,960 --> 00:32:29,360
Speaker 1: remember that how he kept claiming because Obama kept appointing Tsars,

563
00:32:29,360 --> 00:32:32,760
Speaker 1: He's like Obama are Russian and Czar like the root

564
00:32:32,800 --> 00:32:36,040
Speaker 1: word of Caesar, and and he had this whole thing.

565
00:32:36,080 --> 00:32:38,120
Speaker 1: And so they were kind of like pointing and laughing.

566
00:32:39,000 --> 00:32:42,360
Speaker 1: But that whole theory and that whole world view comes

567
00:32:42,360 --> 00:32:45,320
Speaker 1: from the idea that like white Christians aren't oppressed minority,

568
00:32:45,400 --> 00:32:48,640
Speaker 1: like it thrives more when the other party is in power.

569
00:32:48,840 --> 00:32:51,240
Speaker 1: So you're gonna see that pivot. That's one reason I

570
00:32:51,280 --> 00:32:56,440
Speaker 1: have this theory about Christmas, especially if Trump loses, because

571
00:32:56,480 --> 00:32:58,760
Speaker 1: they want to set the stage all of the grifters do.

572
00:32:58,880 --> 00:33:01,840
Speaker 1: And again the isn't these exist is because there's massive

573
00:33:01,920 --> 00:33:04,160
Speaker 1: money to be made. Let's be clear, Like Q and On,

574
00:33:04,520 --> 00:33:07,960
Speaker 1: Q and On sells merch, you know, they sell t shirts,

575
00:33:07,960 --> 00:33:10,200
Speaker 1: they sell sick or stuff like that. So all of

576
00:33:10,240 --> 00:33:13,040
Speaker 1: the people who are planning out their post Trump lives,

577
00:33:14,080 --> 00:33:16,800
Speaker 1: it's not going to be by moving to the center.

578
00:33:18,520 --> 00:33:21,640
Speaker 1: It's it's gonna be setting the stage for everything they

579
00:33:21,640 --> 00:33:24,880
Speaker 1: can detect that Joe Biden of all people is an

580
00:33:24,960 --> 00:33:33,160
Speaker 1: ultra far left uh communist maniac. To exterminate this lifelong Catholic,

581
00:33:33,160 --> 00:33:37,920
Speaker 1: got to exterminate Christianity. Is they're going to start that immediately,

582
00:33:38,280 --> 00:33:40,120
Speaker 1: like that, the moment the election is over. They've got

583
00:33:40,160 --> 00:33:43,880
Speaker 1: to start hunting for any indication. Every appointee, everybody that

584
00:33:44,360 --> 00:33:46,200
Speaker 1: is in the cabinet. They're going to find anything they

585
00:33:46,200 --> 00:33:50,080
Speaker 1: wrote in college that was like anti Christian anything like that. Yeah,

586
00:33:50,680 --> 00:33:54,040
Speaker 1: I mean, yeah, Trump is definitely you know, as has

587
00:33:54,080 --> 00:33:57,120
Speaker 1: been said by everyone needs a symptom of a of

588
00:33:57,160 --> 00:34:00,120
Speaker 1: a larger problem. It's you know, another symptom of that

589
00:34:00,240 --> 00:34:06,920
Speaker 1: problem is that like in a statistical like historical anomaly,

590
00:34:08,320 --> 00:34:14,800
Speaker 1: American life expectancy among white, non college educated people started

591
00:34:14,840 --> 00:34:18,400
Speaker 1: going down, Like it's I think that's all part of

592
00:34:18,440 --> 00:34:23,560
Speaker 1: this same Like there's been this part of America that

593
00:34:24,040 --> 00:34:29,560
Speaker 1: the mainstream culture has sort of ignored and looked down

594
00:34:29,600 --> 00:34:35,719
Speaker 1: on and just dismissed completely. That has metastasized and that

595
00:34:36,360 --> 00:34:40,440
Speaker 1: isn't going away, Like that's Trump. I also don't think

596
00:34:40,440 --> 00:34:43,200
Speaker 1: Trump is going away even if he loses the election,

597
00:34:43,840 --> 00:34:48,040
Speaker 1: Like I think that could make him a more dangerous

598
00:34:48,640 --> 00:34:53,080
Speaker 1: leader slash organizer. Um, you know the conspiracy theories. If

599
00:34:53,080 --> 00:34:58,120
Speaker 1: he loses in a landslide two, loses in a close election,

600
00:34:58,640 --> 00:35:02,000
Speaker 1: the only thing that will do will give him ammunition

601
00:35:02,040 --> 00:35:04,720
Speaker 1: to claim that he was cheated out of the White

602
00:35:04,719 --> 00:35:08,600
Speaker 1: House and just get more and more conspiratorial, and he'll

603
00:35:09,080 --> 00:35:12,160
Speaker 1: start openly embracing Q and on. Like I don't, I

604
00:35:12,239 --> 00:35:18,080
Speaker 1: don't see how we move beyond this specific wave. Yeah,

605
00:35:18,160 --> 00:35:19,840
Speaker 1: I mean, the only way he becomes quiet is he

606
00:35:19,880 --> 00:35:22,440
Speaker 1: does that thing where he like just doesn't want to

607
00:35:22,440 --> 00:35:25,360
Speaker 1: take elves publicly anymore. So he just like retreats and

608
00:35:25,400 --> 00:35:28,400
Speaker 1: doesn't talk about it. But but he's not taking els

609
00:35:28,440 --> 00:35:31,319
Speaker 1: as far as he's concerned, he's in a bubble where

610
00:35:31,360 --> 00:35:33,880
Speaker 1: you know, he goes out in front of people and

611
00:35:33,960 --> 00:35:36,360
Speaker 1: gets the thing that he craves and that he that

612
00:35:36,520 --> 00:35:41,240
Speaker 1: is his lifeblood, which is being a stand up comedian

613
00:35:41,280 --> 00:35:45,399
Speaker 1: who people worship as a messiah. Yeah, okay, but let

614
00:35:45,400 --> 00:35:47,680
Speaker 1: me ask both of you this, Like Trump can be

615
00:35:47,719 --> 00:35:51,480
Speaker 1: indicted on several crimes the moment he leaves office because

616
00:35:51,520 --> 00:35:54,200
Speaker 1: obviously the Southern District, New York, that they've got stuff

617
00:35:54,280 --> 00:35:59,480
Speaker 1: waiting from the Trump whatever his various charity stuff to

618
00:35:59,560 --> 00:36:02,680
Speaker 1: stuff he at an office too, the you know, the

619
00:36:02,800 --> 00:36:05,120
Speaker 1: many many things that have been uncovered that like his

620
00:36:05,200 --> 00:36:09,440
Speaker 1: family has been involved in in with funneling money around.

621
00:36:11,400 --> 00:36:13,880
Speaker 1: If they charge him and it turns into a year's

622
00:36:13,920 --> 00:36:18,640
Speaker 1: long legal battle, do you think that's good or bad? Like,

623
00:36:18,680 --> 00:36:22,000
Speaker 1: do you think it's it's better to not turn him

624
00:36:22,000 --> 00:36:28,080
Speaker 1: into a martyr and let him just just eventually die, Like, yeah,

625
00:36:28,719 --> 00:36:32,000
Speaker 1: I can see him getting martyred. Pumps up fire. It

626
00:36:32,080 --> 00:36:34,399
Speaker 1: just gives his base every reason to believe every single

627
00:36:34,440 --> 00:36:36,560
Speaker 1: thing he's been saying the whole time. In a way,

628
00:36:36,640 --> 00:36:39,480
Speaker 1: like it feels like that could that could fuel it

629
00:36:40,040 --> 00:36:41,480
Speaker 1: because I don't know if they would look at a

630
00:36:41,520 --> 00:36:43,799
Speaker 1: decision made in a court and be like, well, it

631
00:36:43,840 --> 00:36:46,600
Speaker 1: seems like that's he did wrong. I guess you gotta

632
00:36:46,600 --> 00:36:49,160
Speaker 1: go to you gotta you gotta be punished. I do

633
00:36:49,239 --> 00:36:54,120
Speaker 1: think that being prosecuted for financial misdeeds is a very

634
00:36:54,200 --> 00:36:56,720
Speaker 1: boring way to be martyred, though, So if you're gonna

635
00:36:56,760 --> 00:37:01,160
Speaker 1: martyr someone like, martyring them under like a bunch of

636
00:37:01,440 --> 00:37:05,399
Speaker 1: like red tape and financial misdeeds is probably a good

637
00:37:05,400 --> 00:37:08,160
Speaker 1: way to go as opposed to you know, I guess

638
00:37:08,200 --> 00:37:11,640
Speaker 1: there will be video of him being arrested, and there's

639
00:37:11,680 --> 00:37:15,160
Speaker 1: gonna be violence from the right. Like that's just I mean,

640
00:37:15,200 --> 00:37:18,120
Speaker 1: there already is violence from the right. But one way

641
00:37:18,160 --> 00:37:23,719
Speaker 1: or another, like whether he leaves office because of a

642
00:37:23,800 --> 00:37:27,319
Speaker 1: legitimate election, what whatever it is, Like, they're not gonna

643
00:37:27,360 --> 00:37:31,000
Speaker 1: go down. They're not just nobody's gonna just be like, yeah, okay,

644
00:37:31,080 --> 00:37:34,720
Speaker 1: that was a fair election. You guys, we we admit

645
00:37:34,760 --> 00:37:38,839
Speaker 1: we were wrong, and we'll shut up now, and we're

646
00:37:38,920 --> 00:37:40,960
Speaker 1: liberal now. No. I mean, it's just that that's why

647
00:37:41,000 --> 00:37:44,040
Speaker 1: they're they're better at being the minority party, Like they're

648
00:37:44,080 --> 00:37:47,880
Speaker 1: better like they're the conservative culture thrives to your point, Jason,

649
00:37:47,880 --> 00:37:49,640
Speaker 1: when Democrats are in power, like they don't know what

650
00:37:49,680 --> 00:37:51,600
Speaker 1: the funk to do When they're in charge, it's like

651
00:37:51,719 --> 00:37:53,840
Speaker 1: a fuck, we don't like, we're just gonna try and

652
00:37:53,880 --> 00:37:56,640
Speaker 1: do all this other it'll be chaos. But there the

653
00:37:56,960 --> 00:37:59,160
Speaker 1: I think they have more energy to respond to a

654
00:37:59,200 --> 00:38:01,960
Speaker 1: democrat in power than like a Republican empower and then

655
00:38:01,960 --> 00:38:04,400
Speaker 1: trying to explain away all this ship about why nothing's working,

656
00:38:04,440 --> 00:38:06,000
Speaker 1: Like it's better to just always be like, no, you

657
00:38:06,080 --> 00:38:07,839
Speaker 1: see what they're doing. That's what's going on, and that's

658
00:38:07,840 --> 00:38:11,040
Speaker 1: why they're empowering. That's what it so. Yeah, but I

659
00:38:11,040 --> 00:38:14,719
Speaker 1: think Trump gives them the unique position of actually being

660
00:38:14,760 --> 00:38:17,440
Speaker 1: able to both be in power and also be a

661
00:38:17,520 --> 00:38:20,960
Speaker 1: prosecuted minority because the media is out to get him,

662
00:38:21,000 --> 00:38:23,920
Speaker 1: and because that's why he had to invent the deep state.

663
00:38:24,320 --> 00:38:27,000
Speaker 1: That narrative, that's the only way that narrative works. It's like, well,

664
00:38:27,040 --> 00:38:31,520
Speaker 1: actually the president is powerless. It's the deep state that oppresses.

665
00:38:32,080 --> 00:38:36,680
Speaker 1: That oppresses the President's okay, because you could you could

666
00:38:36,680 --> 00:38:40,839
Speaker 1: pass another stimulus package that would be enormously popular at

667
00:38:40,880 --> 00:38:46,640
Speaker 1: any minute, and he just doesn't know how it would

668
00:38:46,680 --> 00:38:49,080
Speaker 1: actually do. It would have if he had done that

669
00:38:49,120 --> 00:38:51,480
Speaker 1: like a month ago. It would have boosted him in

670
00:38:51,480 --> 00:38:53,960
Speaker 1: the polls, maybe by a lot, and he just doesn't

671
00:38:53,960 --> 00:38:56,000
Speaker 1: know how to do that part of being president, the

672
00:38:56,080 --> 00:39:02,040
Speaker 1: legislation part of the deal. Um, yeah, alright, one thing

673
00:39:02,200 --> 00:39:04,359
Speaker 1: that some of us were hoping that maybe he would

674
00:39:04,360 --> 00:39:08,319
Speaker 1: be good at it, you know that like saying, look,

675
00:39:08,520 --> 00:39:11,759
Speaker 1: the best deal is the one that most Americans want.

676
00:39:11,800 --> 00:39:13,759
Speaker 1: It happens to be the one that the Democrats want,

677
00:39:13,760 --> 00:39:16,480
Speaker 1: so let's make a deal and pass it. Nope, no, not,

678
00:39:16,560 --> 00:39:19,359
Speaker 1: it turned out that's not That's not how he thinks. Yeah,

679
00:39:19,440 --> 00:39:22,040
Speaker 1: because his whole thing is owning, owning them and the

680
00:39:22,080 --> 00:39:25,640
Speaker 1: other side being wrong can get to a place of

681
00:39:25,760 --> 00:39:29,600
Speaker 1: like compromise that way. All right, let's take a quick break.

682
00:39:29,920 --> 00:39:32,440
Speaker 1: When we come back, Miles and I are going to

683
00:39:33,400 --> 00:39:37,279
Speaker 1: recap the what what happened on the town Hall is

684
00:39:37,360 --> 00:39:39,880
Speaker 1: last night, and then you know, some of the stuff

685
00:39:39,920 --> 00:39:42,520
Speaker 1: that we were talking about maybe getting to that we

686
00:39:43,040 --> 00:39:45,000
Speaker 1: there's no way we get to in this episode, such

687
00:39:45,040 --> 00:39:49,080
Speaker 1: as the hunter Biden thing and popular Halloween costumes coming up.

688
00:39:49,120 --> 00:39:53,120
Speaker 1: We will get to in Monday's episode. And yeah, we'll

689
00:39:53,160 --> 00:39:58,480
Speaker 1: be right back, and we're back. That's how I'm cutting

690
00:39:58,520 --> 00:40:04,080
Speaker 1: that conversation off. Uh, we're actually here in the future

691
00:40:05,400 --> 00:40:08,600
Speaker 1: listening to super producer on a Hosnie talk about a

692
00:40:08,640 --> 00:40:12,960
Speaker 1: billion boy allionaire Indian bad boys in the world Formula

693
00:40:13,040 --> 00:40:17,200
Speaker 1: one racing. Uh. And I couldn't take it anymore. So

694
00:40:17,440 --> 00:40:23,239
Speaker 1: we are starting our post town hall record. Yeah, what

695
00:40:23,440 --> 00:40:30,480
Speaker 1: is postgame analysis? Uh? Biden is actually still talking. I'm

696
00:40:30,520 --> 00:40:33,360
Speaker 1: not king it's over. No, Like I'm looking at it

697
00:40:33,480 --> 00:40:37,200
Speaker 1: right now on ABC, it looks like he's still talking

698
00:40:37,239 --> 00:40:39,560
Speaker 1: to the people. He's standing up and like just being

699
00:40:39,680 --> 00:40:44,479
Speaker 1: very fatherly and making the same hand gesture. So, but

700
00:40:44,760 --> 00:40:48,520
Speaker 1: it's over. This was an hour and a half. Trump's

701
00:40:48,560 --> 00:40:53,200
Speaker 1: was an hour. Um So, Miles, I watched the Trump

702
00:40:53,239 --> 00:40:56,200
Speaker 1: town hall on NBC. This kind of feels like our

703
00:40:56,239 --> 00:40:59,960
Speaker 1: net rewatch already. Alright, So I watched the Trump town hall.

704
00:41:00,120 --> 00:41:04,560
Speaker 1: I watched the Biden one. Thoughts, Yes, the Biden one

705
00:41:04,719 --> 00:41:09,480
Speaker 1: seems like people. The Twitter analysis I was getting was

706
00:41:10,120 --> 00:41:16,120
Speaker 1: that he had like detailed, long winded answers. He's he

707
00:41:16,200 --> 00:41:22,480
Speaker 1: was able to talk normal, very uninspiring, especially when he

708
00:41:22,520 --> 00:41:24,640
Speaker 1: was talking about shoot him in the leg. He said

709
00:41:24,640 --> 00:41:29,080
Speaker 1: it again. I instantly thought, yep, he was like he

710
00:41:29,160 --> 00:41:31,960
Speaker 1: brought that up. He constantly would bring up his son

711
00:41:32,040 --> 00:41:36,120
Speaker 1: boh the one. The main takeaway from me is whenever

712
00:41:37,120 --> 00:41:39,480
Speaker 1: like a person of color, a black person specifically, would

713
00:41:39,480 --> 00:41:42,480
Speaker 1: ask something about the black American experience and what he

714
00:41:42,520 --> 00:41:45,759
Speaker 1: would do or his connection to past injustices or crime

715
00:41:45,760 --> 00:41:49,560
Speaker 1: bills and things like that, he just he doesn't have

716
00:41:49,680 --> 00:41:53,359
Speaker 1: like the good, clean, short answer that doesn't make him

717
00:41:53,400 --> 00:41:55,480
Speaker 1: sound like somebody trying to make a bunch of excuses.

718
00:41:56,480 --> 00:41:59,279
Speaker 1: But he still gets around to like well, like you know,

719
00:41:59,320 --> 00:42:01,400
Speaker 1: he'll he'll pint to certain things. But at the end

720
00:42:01,400 --> 00:42:03,160
Speaker 1: of the day, like there was one guy who was like,

721
00:42:03,600 --> 00:42:06,680
Speaker 1: can you tell me, you know, like besides I ain't black,

722
00:42:06,960 --> 00:42:10,000
Speaker 1: like what that means to vote for a different candidate

723
00:42:10,040 --> 00:42:12,399
Speaker 1: or if I'm not satisfied with what I'm hearing from

724
00:42:12,480 --> 00:42:15,239
Speaker 1: both parties at the moment, Like he specifically called out

725
00:42:15,239 --> 00:42:17,960
Speaker 1: the I ain't black thing, and that kind of caught

726
00:42:18,040 --> 00:42:20,320
Speaker 1: him off guard and he just started, you know, talking

727
00:42:20,440 --> 00:42:24,520
Speaker 1: a lot of words. Uh. But all in all, I was,

728
00:42:24,840 --> 00:42:28,040
Speaker 1: you know, like anything I've I was, I have a

729
00:42:28,120 --> 00:42:30,520
Speaker 1: very low bar for Joe Biden. So when he comes

730
00:42:30,520 --> 00:42:32,800
Speaker 1: out and says sentences, I'm like, well, good for you.

731
00:42:32,800 --> 00:42:34,719
Speaker 1: You know, there's a couple of moments or you you

732
00:42:34,760 --> 00:42:36,600
Speaker 1: made a you made a brain fart look like a

733
00:42:37,000 --> 00:42:40,000
Speaker 1: like a deep thought. And I'm like, yes, good good,

734
00:42:40,040 --> 00:42:46,800
Speaker 1: you're finessing. You're finessing it. That's what you need. Um well,

735
00:42:46,880 --> 00:42:48,440
Speaker 1: which is all to say, Like this was an hour

736
00:42:48,480 --> 00:42:50,239
Speaker 1: and a half and I'm like, I don't know, you

737
00:42:50,280 --> 00:42:55,080
Speaker 1: know it, there was nothing, nothing really great aside from like,

738
00:42:55,160 --> 00:42:57,879
Speaker 1: you know, maybe those moments he couldn't really decide whether

739
00:42:57,920 --> 00:43:00,080
Speaker 1: or not he was into fracking or court packing it.

740
00:43:00,360 --> 00:43:03,080
Speaker 1: That's always to be said when he's like in a

741
00:43:03,080 --> 00:43:06,560
Speaker 1: state like Pennsylvania, were fracking matters and or a contentious

742
00:43:06,680 --> 00:43:09,000
Speaker 1: issue rather. So I watched an hour of Trump's and

743
00:43:09,000 --> 00:43:12,239
Speaker 1: then I watched like the last half hour of Biden's,

744
00:43:12,320 --> 00:43:16,680
Speaker 1: and I found Biden's more stressful because I feel like

745
00:43:17,000 --> 00:43:20,719
Speaker 1: Biden still gets held to a standard where if he

746
00:43:20,840 --> 00:43:26,160
Speaker 1: like flubs or says a thing wrong, even he like

747
00:43:26,320 --> 00:43:29,480
Speaker 1: gets a little disoriented, and like you know, the media

748
00:43:29,560 --> 00:43:34,680
Speaker 1: will actually pick that up, whereas Trump, it's just NonStop

749
00:43:35,160 --> 00:43:39,920
Speaker 1: lies and just throwing heat. Was he talking at one

750
00:43:39,960 --> 00:43:43,200
Speaker 1: in a quarter speed? Because the one the first commercial

751
00:43:43,239 --> 00:43:45,600
Speaker 1: break in the Biden one, I quickly went to NBC

752
00:43:45,760 --> 00:43:47,719
Speaker 1: to see what was going on, and it just came

753
00:43:47,840 --> 00:43:51,800
Speaker 1: like and that's the thinking of it. I was like, whoa. Yeah.

754
00:43:51,960 --> 00:43:56,560
Speaker 1: So Dave Anthony, the comedian and host of The Dollar Podcast, tweeted,

755
00:43:56,880 --> 00:44:00,279
Speaker 1: Trump has never been on this much speed, and I

756
00:44:00,320 --> 00:44:03,520
Speaker 1: got I got that impression as well. He really would

757
00:44:03,640 --> 00:44:08,719
Speaker 1: be uh at at the end of his limits as

758
00:44:08,719 --> 00:44:12,400
Speaker 1: a high flying circus. Yes, yeah, it was. I think maybe.

759
00:44:12,640 --> 00:44:14,239
Speaker 1: And it may have just been too because I had

760
00:44:14,280 --> 00:44:16,680
Speaker 1: just been listening to Joe Biden for ten minute, fifteen

761
00:44:16,680 --> 00:44:20,080
Speaker 1: minutes that just comparatively, it seems very fast. But I

762
00:44:20,200 --> 00:44:22,239
Speaker 1: you know, we listened to his voice a lot. I

763
00:44:22,280 --> 00:44:24,600
Speaker 1: was like, this seems a little more and like he

764
00:44:24,640 --> 00:44:30,320
Speaker 1: seemed like, uh yeah, he was way up as uh

765
00:44:30,360 --> 00:44:35,680
Speaker 1: So he said that he he wouldn't answer when he

766
00:44:35,680 --> 00:44:39,160
Speaker 1: had the last negative test. He said his doctors certainly can,

767
00:44:39,800 --> 00:44:44,560
Speaker 1: which the doctors have refused to. So Savannah got So.

768
00:44:44,600 --> 00:44:47,000
Speaker 1: The one thing that I thought could have you know,

769
00:44:47,080 --> 00:44:50,319
Speaker 1: redeemed NBC is if this was like a setup, if

770
00:44:50,360 --> 00:44:54,520
Speaker 1: like the people at the toll booth had ducked when

771
00:44:54,560 --> 00:44:57,160
Speaker 1: when he showed up and it was just ah, they

772
00:44:57,200 --> 00:45:02,160
Speaker 1: started just drill like at how they massacred my boy. Yeah,

773
00:45:02,320 --> 00:45:04,560
Speaker 1: but it was none of that and in fact it

774
00:45:04,600 --> 00:45:07,399
Speaker 1: was kind of a nice set up for him. There

775
00:45:07,480 --> 00:45:13,040
Speaker 1: was a pretty young woman behind him in the shot

776
00:45:13,320 --> 00:45:18,239
Speaker 1: just nodding at everything he said, almost like like I

777
00:45:18,280 --> 00:45:21,319
Speaker 1: think how Trump would have set up the shot, like

778
00:45:21,400 --> 00:45:24,600
Speaker 1: everything he said that. She was like yeah, yeah, absolutely

779
00:45:25,080 --> 00:45:29,320
Speaker 1: right on. Um, and Savannah Guthrie did a good job.

780
00:45:30,040 --> 00:45:36,359
Speaker 1: And you know, it was like held him to a

781
00:45:36,440 --> 00:45:40,200
Speaker 1: standard of like, wait, but you have to not be

782
00:45:40,280 --> 00:45:43,279
Speaker 1: that fool of ship at certain I saw that with

783
00:45:43,360 --> 00:45:46,480
Speaker 1: like his four million death question. I saw her kind

784
00:45:46,480 --> 00:45:48,319
Speaker 1: of press him on that one where he's like, and

785
00:45:48,400 --> 00:45:55,759
Speaker 1: you know, I'm under levered. I'm like, yes, I looked

786
00:45:55,800 --> 00:46:00,839
Speaker 1: at one use of under levered. Some maybe you can

787
00:46:00,920 --> 00:46:04,200
Speaker 1: go either way. But uh he did at one point

788
00:46:04,280 --> 00:46:08,040
Speaker 1: say four billion dollars is a peanut. It's small. And

789
00:46:08,160 --> 00:46:10,000
Speaker 1: so she's like, so you do all that much money

790
00:46:10,239 --> 00:46:12,080
Speaker 1: and he's like, well, you know, I will say it's

791
00:46:12,120 --> 00:46:14,120
Speaker 1: just a small amount. You know, you got mortgages, that's

792
00:46:14,120 --> 00:46:15,520
Speaker 1: what it is. And it's like, so it sounds like

793
00:46:15,560 --> 00:46:19,600
Speaker 1: you do a four million dollars okay, yeah, Um. She

794
00:46:20,440 --> 00:46:23,600
Speaker 1: really tried to. I think the kind of big moment

795
00:46:23,600 --> 00:46:26,759
Speaker 1: of the night was you know, she she asked him

796
00:46:26,800 --> 00:46:30,760
Speaker 1: about what he denounced white supremacy. He said, I've always

797
00:46:30,880 --> 00:46:33,480
Speaker 1: denounced white supremacy, like I don't. Why why don't you

798
00:46:33,480 --> 00:46:38,200
Speaker 1: ask Joe Biden if he denounces Antifa and uh, she said,

799
00:46:38,760 --> 00:46:42,359
Speaker 1: well I don't. I'm not interviewing Joe Biden. And he said, ah,

800
00:46:42,520 --> 00:46:46,879
Speaker 1: that's cute, very like dismissive in sexist. Then she asked

801
00:46:46,920 --> 00:46:50,160
Speaker 1: him to denounce Q and On and so this has

802
00:46:50,200 --> 00:46:53,040
Speaker 1: happened before where somebody asked him what he thought about

803
00:46:53,120 --> 00:46:56,839
Speaker 1: Q and On anything about it, don't know anything about him,

804
00:46:56,840 --> 00:46:59,560
Speaker 1: and he did that again and then he said, I

805
00:46:59,600 --> 00:47:02,759
Speaker 1: do know they don't like pedophilia, and I don't. I

806
00:47:02,800 --> 00:47:06,960
Speaker 1: don't like pedophilia. So I'm so he just found the

807
00:47:07,000 --> 00:47:10,680
Speaker 1: one like acceptable Q and On belief and was like, so,

808
00:47:10,760 --> 00:47:13,480
Speaker 1: I'm kind of on board with Q and On. I guess, um,

809
00:47:13,520 --> 00:47:16,080
Speaker 1: so he knows, he knows what he's doing. He knows. Yeah,

810
00:47:16,120 --> 00:47:18,560
Speaker 1: And I think he also just said like I agree

811
00:47:18,840 --> 00:47:21,520
Speaker 1: about like pedophiles are bad or whatever. You know, it

812
00:47:21,560 --> 00:47:24,040
Speaker 1: seemed like if you were this last time was the

813
00:47:24,080 --> 00:47:28,320
Speaker 1: Proud Boys. This week Q and On got their little wink.

814
00:47:28,760 --> 00:47:32,080
Speaker 1: But yeah, Wow, it's funny that how he's like I'm

815
00:47:32,120 --> 00:47:34,920
Speaker 1: against pedophilia, but also I wish that woman Gealen Maxwell,

816
00:47:34,960 --> 00:47:39,360
Speaker 1: who's a pedophile. Yea to that pedophile, but I hate pedophiles.

817
00:47:39,440 --> 00:47:41,200
Speaker 1: The only thing that's really interesting is I was reading

818
00:47:41,440 --> 00:47:44,840
Speaker 1: about how a lot like legitimate human trafficking organizations have

819
00:47:45,040 --> 00:47:48,080
Speaker 1: been like intersecting with Q and ON people at times,

820
00:47:48,080 --> 00:47:50,640
Speaker 1: and they're like, dude, you are actually fucking up our

821
00:47:50,680 --> 00:47:54,200
Speaker 1: real work of tackling this issue, like with your meddling,

822
00:47:54,360 --> 00:47:57,520
Speaker 1: and like like it's just uh, it's it seems like

823
00:47:57,560 --> 00:48:00,600
Speaker 1: they're like accidentally overlapping with Q going on and then

824
00:48:00,640 --> 00:48:04,000
Speaker 1: being like wait, you're fucking things up or yeah, or

825
00:48:04,080 --> 00:48:06,520
Speaker 1: like or somehow they'll be invested, like there may be

826
00:48:06,600 --> 00:48:09,960
Speaker 1: some real human trafficking investigation going on, and then Q

827
00:48:10,200 --> 00:48:13,040
Speaker 1: people are starting to like try and send information or

828
00:48:13,640 --> 00:48:15,680
Speaker 1: they can crack it too, and they're like, please get

829
00:48:15,680 --> 00:48:17,640
Speaker 1: the funk out of the way, like we're actually doing this.

830
00:48:17,960 --> 00:48:20,880
Speaker 1: That's the most widely held belief among Q people is

831
00:48:20,920 --> 00:48:25,640
Speaker 1: that there's a vast of pedophiles there is. It just

832
00:48:25,719 --> 00:48:29,759
Speaker 1: happens to include a lot of Trump's friends and you know,

833
00:48:30,480 --> 00:48:34,840
Speaker 1: a lot of just elites on both sides. But it

834
00:48:34,960 --> 00:48:37,640
Speaker 1: seems like that was a calculated thing. He picked the thing.

835
00:48:37,760 --> 00:48:40,799
Speaker 1: That's also the thing that you'll see even people who

836
00:48:40,840 --> 00:48:43,680
Speaker 1: are just like flirting with Q or are like undercover

837
00:48:44,200 --> 00:48:49,000
Speaker 1: closeted Q members, they'll still be like talking about sexual

838
00:48:49,719 --> 00:48:55,720
Speaker 1: uh sexual, like going after perverts and pedophiles. So he

839
00:48:55,960 --> 00:48:59,400
Speaker 1: knew what he was doing, which is funny because he

840
00:48:59,560 --> 00:49:02,040
Speaker 1: was like at the last rally, he was just at

841
00:49:02,080 --> 00:49:07,280
Speaker 1: a rally, like throwing out all the fucking anti Semitic

842
00:49:07,320 --> 00:49:10,239
Speaker 1: ship talking about global as takeovers and things. Because you're

843
00:49:10,239 --> 00:49:13,400
Speaker 1: like you're using the exact same language in this audience.

844
00:49:13,600 --> 00:49:15,120
Speaker 1: Then you go there like I've never heard of him,

845
00:49:15,200 --> 00:49:16,360
Speaker 1: I know a lot about him. I don't know if

846
00:49:16,400 --> 00:49:18,120
Speaker 1: you checked the receipts from a couple of minutes ago,

847
00:49:18,719 --> 00:49:22,000
Speaker 1: talk a lot about it. So, yes, it's all very

848
00:49:22,200 --> 00:49:27,080
Speaker 1: kept saying of people who wear a mask caught COVID nineteen.

849
00:49:27,320 --> 00:49:29,560
Speaker 1: He was like a new study came at of the

850
00:49:29,560 --> 00:49:33,600
Speaker 1: people who wear a mask catch it, So what are

851
00:49:33,640 --> 00:49:41,440
Speaker 1: you astronomer? That's not true. But there were a couple

852
00:49:41,440 --> 00:49:45,000
Speaker 1: of times when like somebody asked him, why didn't you

853
00:49:45,040 --> 00:49:48,520
Speaker 1: put in place more COVID nineteen precautions. That was one

854
00:49:48,560 --> 00:49:52,000
Speaker 1: of the town Hall things. She was like, you told

855
00:49:52,239 --> 00:49:55,400
Speaker 1: Bob Woodward that like you knew it was an airborne disease,

856
00:49:55,440 --> 00:49:58,399
Speaker 1: it was a huge threat. Why didn't you put more

857
00:49:58,680 --> 00:50:01,640
Speaker 1: in place? And he he just went on like a

858
00:50:01,719 --> 00:50:05,920
Speaker 1: riff for two minutes about the travel ban, and like

859
00:50:06,000 --> 00:50:08,560
Speaker 1: how he was he did the travel band. Everybody said

860
00:50:08,600 --> 00:50:12,279
Speaker 1: it was bad, it was everybody thought it was xenophobic,

861
00:50:12,360 --> 00:50:16,400
Speaker 1: but I did it anyways, And like that would have

862
00:50:16,400 --> 00:50:19,279
Speaker 1: been an easy one, like Cody Johnson was pointing out,

863
00:50:19,320 --> 00:50:21,560
Speaker 1: like all you had to say was, Mr President, the

864
00:50:21,600 --> 00:50:24,880
Speaker 1: person asked you why in response to COVID you didn't

865
00:50:24,920 --> 00:50:27,520
Speaker 1: do more than the travel band, not for a two

866
00:50:27,520 --> 00:50:30,520
Speaker 1: minutes rand about the travel band, Please answer their question.

867
00:50:30,719 --> 00:50:34,040
Speaker 1: Like that would have been fairly easy one to push

868
00:50:34,080 --> 00:50:37,479
Speaker 1: back on, where it was just like this is TV,

869
00:50:37,640 --> 00:50:39,319
Speaker 1: so we have to like move on to the very

870
00:50:39,360 --> 00:50:41,719
Speaker 1: next thing. I did see that one point where he

871
00:50:41,760 --> 00:50:43,359
Speaker 1: was like, well, the thing is I did I would

872
00:50:43,440 --> 00:50:45,799
Speaker 1: to down say it. I don't want to make everyone panic. Yeah,

873
00:50:45,960 --> 00:50:47,279
Speaker 1: And she's like, well, what do you mean, what am

874
00:50:47,280 --> 00:50:49,000
Speaker 1: I gonna do go out there and say everybody's gonna die.

875
00:50:49,080 --> 00:50:51,840
Speaker 1: And she's like, well, you can split the difference. You

876
00:50:52,080 --> 00:50:55,520
Speaker 1: have to go that what actually, you can't uh, you

877
00:50:55,560 --> 00:50:57,880
Speaker 1: cannot you have there's only you're all gonna die or

878
00:50:57,920 --> 00:51:02,120
Speaker 1: nothing's wrong. That's it, finary. I think her best moment

879
00:51:02,239 --> 00:51:06,560
Speaker 1: came when she pushed him on the thing we were

880
00:51:06,560 --> 00:51:10,800
Speaker 1: talking about on I think yesterday's episode maybe today's episode,

881
00:51:11,160 --> 00:51:15,160
Speaker 1: where he tweeted that Biden had Seal Team six murdered

882
00:51:15,480 --> 00:51:19,000
Speaker 1: to cover up the fake assassination of Osama bin Laden.

883
00:51:19,600 --> 00:51:23,160
Speaker 1: He was like, what, I didn't say that. I just

884
00:51:23,239 --> 00:51:27,200
Speaker 1: retweeted it. It's a retweet. It's somebody's opinion. And she

885
00:51:27,320 --> 00:51:31,239
Speaker 1: was like, yeah, but you're the president, you're not somebody's

886
00:51:31,239 --> 00:51:34,960
Speaker 1: crazy uncle. Uh and here yeah, yeah, but it's a retweet,

887
00:51:34,960 --> 00:51:37,399
Speaker 1: it's nothing. I'm so what I'm allowed to put things

888
00:51:37,480 --> 00:51:40,880
Speaker 1: out there. Uh So that was a good moment where

889
00:51:40,920 --> 00:51:44,160
Speaker 1: she kind of said what was on every singles be like,

890
00:51:44,200 --> 00:51:47,920
Speaker 1: so do you do you retweet things you don't agree with? Right? Yeah,

891
00:51:48,080 --> 00:51:50,000
Speaker 1: that's Mike, what that would be my next question. It's like,

892
00:51:50,160 --> 00:51:52,560
Speaker 1: there's so many there. There was one moment where I

893
00:51:52,560 --> 00:51:56,719
Speaker 1: was like just screaming at times because I wish Savannah

894
00:51:56,800 --> 00:51:58,840
Speaker 1: got through just be like fuck it, I'm just gonna

895
00:51:58,920 --> 00:52:02,200
Speaker 1: fucking on this fool on camera because I would have

896
00:52:02,239 --> 00:52:05,760
Speaker 1: loved something like when he's talking about like, no, Mr President,

897
00:52:05,800 --> 00:52:09,600
Speaker 1: that's mathematically impossible. What you're saying is untrue, Like and

898
00:52:09,680 --> 00:52:11,879
Speaker 1: there's no way you can prove it. There's I'm telling

899
00:52:11,880 --> 00:52:14,279
Speaker 1: you right now, there's no way you can prove that. Well,

900
00:52:14,320 --> 00:52:16,560
Speaker 1: I don't know. I mean that's probably what he would do.

901
00:52:16,600 --> 00:52:18,759
Speaker 1: It's like, well, that's your opinion and you're abroad, so

902
00:52:18,800 --> 00:52:21,719
Speaker 1: what would you know? Just the guys. He at one

903
00:52:21,760 --> 00:52:25,480
Speaker 1: point was bragging about how he didn't ask Amy Coney

904
00:52:25,520 --> 00:52:29,360
Speaker 1: Barrett if she would like deliver him the presidency. He's like,

905
00:52:29,360 --> 00:52:31,799
Speaker 1: believe it or not? I didn't ask her about it?

906
00:52:31,920 --> 00:52:35,320
Speaker 1: Would you believe that? Believe it or not? I didn't

907
00:52:35,360 --> 00:52:39,120
Speaker 1: ask her? Like what? Okay? Points scored? I guess yeah,

908
00:52:39,520 --> 00:52:42,719
Speaker 1: that he was that he didn't like could you imagine

909
00:52:42,760 --> 00:52:46,880
Speaker 1: if he had been like, so you'll give me the president?

910
00:52:46,920 --> 00:52:47,800
Speaker 1: Do you think? What do you think? What do you

911
00:52:47,840 --> 00:52:50,359
Speaker 1: think you'll do? Right? Give me a handshake? I need

912
00:52:50,360 --> 00:52:54,560
Speaker 1: a loyalty with Omerta like the mob it overall, it

913
00:52:54,680 --> 00:52:58,560
Speaker 1: felt like the thing that mostly accomplished his like normalized

914
00:52:58,600 --> 00:53:02,000
Speaker 1: being a Trump supporter because it was like fifty fifty

915
00:53:02,040 --> 00:53:05,000
Speaker 1: and there were a lot of you know, women of

916
00:53:05,040 --> 00:53:08,720
Speaker 1: color who were like on the fence or Trump supporters.

917
00:53:08,760 --> 00:53:13,200
Speaker 1: There were you know, young people who were Trump supporters.

918
00:53:13,440 --> 00:53:18,960
Speaker 1: There were people with birds in their hair there, and

919
00:53:19,120 --> 00:53:22,000
Speaker 1: there's a lot at all. There's a woman who was like,

920
00:53:22,200 --> 00:53:28,040
Speaker 1: you have a great smile. You're so handsome when you smile. Yeah,

921
00:53:28,200 --> 00:53:32,719
Speaker 1: and then uh, and then asked him a question that

922
00:53:32,840 --> 00:53:35,600
Speaker 1: was like, I come from immigrants, Are you going to

923
00:53:35,640 --> 00:53:38,279
Speaker 1: be kind to like are you what are you gonna

924
00:53:38,320 --> 00:53:41,359
Speaker 1: do about Docca and dreamers? Like implying like would you

925
00:53:41,680 --> 00:53:44,719
Speaker 1: kind of be nice to them? And he was like,

926
00:53:44,920 --> 00:53:47,439
Speaker 1: gonna love what You're gonna love what I do to them.

927
00:53:47,560 --> 00:53:49,960
Speaker 1: I'm gonna but like implied that he was gonna be

928
00:53:50,040 --> 00:53:52,720
Speaker 1: like hard on them. He was like talking about building

929
00:53:52,760 --> 00:53:56,520
Speaker 1: the border wall. And they closed out saying how would

930
00:53:56,520 --> 00:53:59,160
Speaker 1: you improve And he said because I've done a great job,

931
00:54:00,200 --> 00:54:02,600
Speaker 1: which was an interesting way of no, no, no no. The

932
00:54:02,680 --> 00:54:07,919
Speaker 1: question was how would you improve do better? Because I've

933
00:54:07,920 --> 00:54:14,120
Speaker 1: done great? Uh. He's it's he really seems incapable of

934
00:54:14,320 --> 00:54:19,880
Speaker 1: thinking forward on which is just an unbelievable thing to

935
00:54:20,000 --> 00:54:23,759
Speaker 1: be true about somebody running for president. But the bar

936
00:54:23,920 --> 00:54:28,520
Speaker 1: that he's held to is so shockingly low. But it

937
00:54:29,239 --> 00:54:32,200
Speaker 1: just doesn't it really doesn't matter. Well, that's what's interesting too,

938
00:54:32,239 --> 00:54:35,239
Speaker 1: because like Joe Biden, you you realize that people who

939
00:54:35,280 --> 00:54:38,000
Speaker 1: are interested in a candidate for the Democratic Party have

940
00:54:38,239 --> 00:54:40,879
Speaker 1: way more intense questions to ask because I think most

941
00:54:40,880 --> 00:54:42,919
Speaker 1: people like yes, people are going to try and get

942
00:54:42,920 --> 00:54:45,680
Speaker 1: Trump to you know, flub or you know, ask him something,

943
00:54:45,680 --> 00:54:47,359
Speaker 1: but he's never going to give an answer. But that's

944
00:54:47,400 --> 00:54:49,480
Speaker 1: with Joe Biden, like he has to. There's a lot

945
00:54:49,480 --> 00:54:52,560
Speaker 1: of more nuanced that people are packing on in their questions.

946
00:54:53,680 --> 00:54:57,359
Speaker 1: But either way, it seemed like, I'm not sure what

947
00:54:57,440 --> 00:54:59,040
Speaker 1: this is going to do except for we'll see when

948
00:54:59,040 --> 00:55:01,200
Speaker 1: the ratings come out if he's just you know, him

949
00:55:01,239 --> 00:55:03,080
Speaker 1: and the right are just like circle jerking over like

950
00:55:03,120 --> 00:55:05,000
Speaker 1: the ratings and like you see, he can't even he

951
00:55:05,040 --> 00:55:08,400
Speaker 1: can't even get a crowd. There was this middle class

952
00:55:08,480 --> 00:55:12,040
Speaker 1: Latin X woman leaning towards Trump, which I was just like,

953
00:55:12,120 --> 00:55:16,200
Speaker 1: fucking kill me, but she asked him about Obamacare. She's

954
00:55:16,239 --> 00:55:19,680
Speaker 1: a frontline medical worker, and he was like the problem

955
00:55:19,680 --> 00:55:21,880
Speaker 1: with it, Like she asked a very nuanced question, was

956
00:55:21,920 --> 00:55:23,759
Speaker 1: like I'm a front line medical work or we don't

957
00:55:23,840 --> 00:55:27,719
Speaker 1: have the one with the daughter with the daughter, and

958
00:55:27,840 --> 00:55:31,279
Speaker 1: he kept just saying the problem with Obamacare is it's

959
00:55:31,360 --> 00:55:35,120
Speaker 1: not good. We're gonna do a much greatly. It's gonna

960
00:55:35,120 --> 00:55:39,719
Speaker 1: be much greater there, and Savannah got through rightly, was like, yeah,

961
00:55:39,760 --> 00:55:42,600
Speaker 1: you've been saying you're gonna repeal and replace. You haven't

962
00:55:42,960 --> 00:55:45,680
Speaker 1: replaced it with anything. You've like changed one part of it.

963
00:55:46,200 --> 00:55:49,840
Speaker 1: And she just was like, it's not great, it's not

964
00:55:50,000 --> 00:55:51,719
Speaker 1: very great. And the thing we're gonna do is great

965
00:55:51,800 --> 00:55:55,839
Speaker 1: and it's gonna be very affordable. Um, and yeah, if

966
00:55:55,840 --> 00:55:59,280
Speaker 1: people held him to any sort of standard, that would

967
00:55:59,280 --> 00:56:03,520
Speaker 1: not be as efficient answer. But yeah, uh yeah, it's

968
00:56:03,560 --> 00:56:05,919
Speaker 1: it seemed to go over. You saw that. You saw

969
00:56:05,960 --> 00:56:08,440
Speaker 1: the woman. I did because I was like, oh, this

970
00:56:08,520 --> 00:56:11,040
Speaker 1: is getting interesting because I remember them being described as

971
00:56:11,080 --> 00:56:13,960
Speaker 1: she voted for Trump in her daughter was going to

972
00:56:14,040 --> 00:56:16,600
Speaker 1: be voting for the first time, but was leaning Biden.

973
00:56:17,000 --> 00:56:19,600
Speaker 1: And then she asked this like very like question that

974
00:56:19,640 --> 00:56:21,840
Speaker 1: did not seem like a Trump supporter would ask the president,

975
00:56:21,960 --> 00:56:25,239
Speaker 1: knowing that you would hope that what you're I mean,

976
00:56:25,239 --> 00:56:27,319
Speaker 1: maybe she's like one of these naive Trump supporters, Like

977
00:56:27,719 --> 00:56:31,080
Speaker 1: maybe if I ask I a frontline doctor, a frontline

978
00:56:31,200 --> 00:56:34,840
Speaker 1: like medical worker who supports him, a very direct question

979
00:56:34,880 --> 00:56:37,839
Speaker 1: about like what's happening to us? Maybe he'll be nice

980
00:56:37,880 --> 00:56:40,960
Speaker 1: about it. But that did That's what that that one

981
00:56:41,160 --> 00:56:46,120
Speaker 1: in particular like made me wonder. I don't know, I

982
00:56:46,160 --> 00:56:50,600
Speaker 1: have a hard time conceiving of these people who are

983
00:56:50,680 --> 00:56:57,400
Speaker 1: like rational, self interested actors who are still supporting him

984
00:56:57,440 --> 00:57:00,719
Speaker 1: after all this. Well, if you just want things to

985
00:57:00,760 --> 00:57:05,160
Speaker 1: be super conservative and you know, go back to like

986
00:57:05,320 --> 00:57:09,560
Speaker 1: the whatever fucking times, it's like, you know, it's it's you.

987
00:57:09,880 --> 00:57:13,000
Speaker 1: We've seen like over and over how much people can

988
00:57:13,040 --> 00:57:15,920
Speaker 1: get like really focused on one thing and ignore every

989
00:57:15,920 --> 00:57:18,640
Speaker 1: other bad fucking thing about the president because like they're

990
00:57:18,680 --> 00:57:22,880
Speaker 1: just so energized by just one fucking issue. But yeah,

991
00:57:23,160 --> 00:57:24,640
Speaker 1: I thought she was a plant for a second. I

992
00:57:24,680 --> 00:57:27,160
Speaker 1: was like, are you pretending your Trump supporters you can

993
00:57:27,200 --> 00:57:31,920
Speaker 1: ask is Like I kept waiting for them to just

994
00:57:32,400 --> 00:57:35,480
Speaker 1: fucking light this guy up, and they just it was

995
00:57:35,520 --> 00:57:40,280
Speaker 1: not It was not to be. They're all fucking probably preapproved. Yeah, yeah.

996
00:57:40,720 --> 00:57:43,400
Speaker 1: Which He also had these like a couple of moments

997
00:57:43,440 --> 00:57:46,240
Speaker 1: where he's like, have you ever heard of a word

998
00:57:46,320 --> 00:57:52,600
Speaker 1: called negotiations? I am negotiations negotiating where he would like

999
00:57:52,640 --> 00:57:57,200
Speaker 1: do these like silly faces and like voices. He's he's

1000
00:57:57,240 --> 00:58:01,760
Speaker 1: just a performer, is the camera him? Uh, he's got

1001
00:58:01,800 --> 00:58:05,880
Speaker 1: a great smile. He's so handsome when he smiles. And

1002
00:58:05,880 --> 00:58:07,920
Speaker 1: and what you just said was our new pledge of allegiance?

1003
00:58:11,920 --> 00:58:18,680
Speaker 1: All right? Any anything else anything from the Biden? Uh? Nah,

1004
00:58:18,880 --> 00:58:22,040
Speaker 1: not much, not much. You know, if if you if

1005
00:58:22,080 --> 00:58:24,920
Speaker 1: you were if you were interested about like getting to

1006
00:58:24,960 --> 00:58:28,480
Speaker 1: the bottom of certain things about renewable energy or you know,

1007
00:58:28,640 --> 00:58:31,840
Speaker 1: police reform and things like that, you weren't. You know,

1008
00:58:31,920 --> 00:58:34,080
Speaker 1: it's the same things we were talking about even in

1009
00:58:34,120 --> 00:58:36,400
Speaker 1: the primaries. It's not. This is not the candidate who's

1010
00:58:36,400 --> 00:58:38,480
Speaker 1: going to take those things head on. And you know,

1011
00:58:38,560 --> 00:58:40,240
Speaker 1: maybe you can drag him to the left if he

1012
00:58:40,280 --> 00:58:44,800
Speaker 1: gets into office and it's not stolen. But yeah, it was.

1013
00:58:44,960 --> 00:58:47,840
Speaker 1: It was not. I don't know, maybe it was disheartening.

1014
00:58:47,880 --> 00:58:50,000
Speaker 1: I've I'm just like all I can think about is

1015
00:58:50,040 --> 00:58:52,800
Speaker 1: like November three, Like, what the funk what things look

1016
00:58:52,840 --> 00:58:58,680
Speaker 1: like after? What is going to happen? Talk talk talk? Yeah,

1017
00:58:58,840 --> 00:59:01,200
Speaker 1: just like those guy us who really got the message

1018
00:59:01,240 --> 00:59:07,360
Speaker 1: from that, the Wolverine Watchman, Yeah, they get it. Uh alright, Uh,

1019
00:59:07,440 --> 00:59:22,360
Speaker 1: let's go back to the present tense alright bye, and

1020
00:59:22,400 --> 00:59:27,240
Speaker 1: we're back from that again. Here we are in a

1021
00:59:27,280 --> 00:59:29,400
Speaker 1: world where we don't know what just happened in the

1022
00:59:29,440 --> 00:59:35,280
Speaker 1: town hall debates. Uh so, uh I can I feel

1023
00:59:35,280 --> 00:59:38,200
Speaker 1: like that take will always be fine? Right as Jason

1024
00:59:38,320 --> 00:59:41,960
Speaker 1: was saying, if Donald Trump falls over and has a seizure,

1025
00:59:42,160 --> 00:59:44,720
Speaker 1: this whole episode will seem very crass. Or if b

1026
00:59:44,800 --> 00:59:50,440
Speaker 1: York murders Donald Trump during the town hall, this this

1027
00:59:50,520 --> 00:59:53,840
Speaker 1: episode will seem pretty hot episode. It's in pretty pretty

1028
00:59:53,840 --> 00:59:58,320
Speaker 1: bad taste. But let's real quickly before we get out

1029
00:59:58,320 --> 01:00:01,840
Speaker 1: of here. I didn't want to talk about this story

1030
01:00:02,120 --> 01:00:06,040
Speaker 1: that I think doom scrollers everywhere, uh noticed, which is

1031
01:00:06,600 --> 01:00:09,960
Speaker 1: gentleman by the name of Robert Kahley, who was one

1032
01:00:10,000 --> 01:00:16,000
Speaker 1: of the only posters that predicted Trump's win in and

1033
01:00:16,480 --> 01:00:19,360
Speaker 1: you know they're a handful most of them are predicting

1034
01:00:19,400 --> 01:00:23,200
Speaker 1: that this time is different. Robert Kley is saying, Nah,

1035
01:00:23,400 --> 01:00:26,280
Speaker 1: we've got another We've got another one coming to real

1036
01:00:27,000 --> 01:00:29,240
Speaker 1: h He's gonna win. Yeah. I mean his whole thing

1037
01:00:29,320 --> 01:00:31,960
Speaker 1: in was that he said a lot of posters weren't.

1038
01:00:32,080 --> 01:00:34,040
Speaker 1: He has like his own method where he's trying to

1039
01:00:34,160 --> 01:00:37,200
Speaker 1: he asked other questions to try and nail down who

1040
01:00:37,280 --> 01:00:40,280
Speaker 1: this person might be. And you know, his the big

1041
01:00:40,280 --> 01:00:43,720
Speaker 1: thing that he always talks about is this idea of

1042
01:00:43,960 --> 01:00:48,040
Speaker 1: um like social acceptance or social desirability bias and how

1043
01:00:48,080 --> 01:00:51,040
Speaker 1: that affects people's response and a lot of things. And

1044
01:00:51,120 --> 01:00:54,800
Speaker 1: he said that in fact, in he thinks it's like

1045
01:00:54,840 --> 01:00:56,960
Speaker 1: a worst take to have now to say you're supporting

1046
01:00:57,000 --> 01:01:00,720
Speaker 1: the president. That he's trying to adjust for that as well. Um.

1047
01:01:00,760 --> 01:01:02,720
Speaker 1: But one of the big things he was saying is like,

1048
01:01:03,080 --> 01:01:05,280
Speaker 1: you know, a lot of the polls say Biden's gonna

1049
01:01:05,280 --> 01:01:07,800
Speaker 1: win Georgia or Florida or North Carolina, like you know,

1050
01:01:07,920 --> 01:01:10,040
Speaker 1: leading and he's like, that's all fucking there's no way.

1051
01:01:10,120 --> 01:01:13,800
Speaker 1: He's just saying, Georgia, Florida, North Carolina, Ohio, Texas, Arizona,

1052
01:01:13,960 --> 01:01:16,840
Speaker 1: They're they're not nailed on for Biden, like by any

1053
01:01:16,840 --> 01:01:19,320
Speaker 1: stretch of the imagination, despite what the polls are saying.

1054
01:01:19,480 --> 01:01:22,720
Speaker 1: And he predicts Trump will win in all of those states. Um.

1055
01:01:22,760 --> 01:01:25,240
Speaker 1: And he was also saying that the you know, while

1056
01:01:25,280 --> 01:01:27,200
Speaker 1: he has lost a lot of support, you know, he

1057
01:01:27,240 --> 01:01:28,800
Speaker 1: was saying like, yeah, he's lost a lot of support

1058
01:01:28,800 --> 01:01:31,760
Speaker 1: with suburban women. He's lost some support with the elderly,

1059
01:01:31,800 --> 01:01:36,680
Speaker 1: but he has picked up support with black and Latino voters. Surprisingly,

1060
01:01:36,840 --> 01:01:40,520
Speaker 1: he said, he was really like, it's it's gone up slightly. Um,

1061
01:01:40,680 --> 01:01:43,320
Speaker 1: so there is some movement in that area. But you know,

1062
01:01:43,520 --> 01:01:45,400
Speaker 1: with all that to say, I was just there like

1063
01:01:45,400 --> 01:01:47,000
Speaker 1: we got Jason on so you know what that just

1064
01:01:47,800 --> 01:01:51,400
Speaker 1: I'll put that down and let us discuss that, because yes,

1065
01:01:51,520 --> 01:01:54,880
Speaker 1: he he feels very strongly that this there's there's not

1066
01:01:55,000 --> 01:01:59,080
Speaker 1: much not much difference between the two. This is for

1067
01:01:59,160 --> 01:02:01,560
Speaker 1: one thing, no one who gives an answer to this

1068
01:02:01,880 --> 01:02:05,080
Speaker 1: is not somewhat motivated in the reasoning like I don't

1069
01:02:05,080 --> 01:02:07,480
Speaker 1: want I don't want to give anyone a reason to

1070
01:02:07,560 --> 01:02:10,400
Speaker 1: not vote. And obviously people who are afraid of a

1071
01:02:10,440 --> 01:02:13,560
Speaker 1: second Trump to term are also very afraid of saying

1072
01:02:13,600 --> 01:02:17,040
Speaker 1: anything that causes people to maybe be to relax, And

1073
01:02:17,360 --> 01:02:21,120
Speaker 1: so there's a motivation to kind of in those channels

1074
01:02:21,160 --> 01:02:23,600
Speaker 1: to kind of boost anyone who's saying, hey, Trump's chances

1075
01:02:23,640 --> 01:02:26,360
Speaker 1: are better than you think, because you want people to

1076
01:02:26,400 --> 01:02:28,480
Speaker 1: go out and vote. It does from the early voting

1077
01:02:29,400 --> 01:02:32,040
Speaker 1: it appears people we're gonna have like record turnout, like

1078
01:02:32,360 --> 01:02:37,680
Speaker 1: and anything can happen. It's you know, the whole issue

1079
01:02:37,720 --> 01:02:39,640
Speaker 1: that I like Nate Silver. I know a lot of

1080
01:02:39,640 --> 01:02:41,720
Speaker 1: people have grown to hate him. What I like about

1081
01:02:41,800 --> 01:02:43,400
Speaker 1: him is he's one of the few people that points

1082
01:02:43,400 --> 01:02:46,919
Speaker 1: out that, look, we have not had that many presidential

1083
01:02:46,960 --> 01:02:50,880
Speaker 1: elections period, in the modern era, in the polling era,

1084
01:02:50,960 --> 01:02:53,160
Speaker 1: and in the mass media era, that you're only talking

1085
01:02:53,200 --> 01:02:55,280
Speaker 1: about the ones going back to what nineteen sixty and

1086
01:02:55,400 --> 01:02:57,880
Speaker 1: the air in which TV has been a thing like,

1087
01:02:57,920 --> 01:03:00,960
Speaker 1: that's just that's a small sample size. And this is why.

1088
01:03:01,080 --> 01:03:04,320
Speaker 1: And so anybody who says, well, you know, because you

1089
01:03:04,360 --> 01:03:07,080
Speaker 1: hear this these headlines like well, no president has ever

1090
01:03:07,160 --> 01:03:10,960
Speaker 1: lost when the unemployment has been blank, or or this

1091
01:03:11,000 --> 01:03:14,320
Speaker 1: guy who's predicted four straight elections, you know, says blank

1092
01:03:14,440 --> 01:03:16,440
Speaker 1: is going to happen. And in every case it's a

1093
01:03:16,520 --> 01:03:20,040
Speaker 1: really small sample size. And every election, you know, they

1094
01:03:20,120 --> 01:03:24,240
Speaker 1: used to consider it almost an extreme scenario that you

1095
01:03:24,240 --> 01:03:27,400
Speaker 1: would have a popular vote in electoral college split like

1096
01:03:27,480 --> 01:03:30,840
Speaker 1: we just had. And I don't remember anybody predicting that

1097
01:03:30,920 --> 01:03:33,240
Speaker 1: Hillary would win by three million votes and lose the

1098
01:03:33,240 --> 01:03:37,919
Speaker 1: electoral college. But now that it's happened, it makes perfect sense.

1099
01:03:37,960 --> 01:03:40,000
Speaker 1: It's like, oh, yeah, this is kind of baked in that,

1100
01:03:40,080 --> 01:03:42,600
Speaker 1: you know, like the electoral college has like a conservative

1101
01:03:42,720 --> 01:03:47,560
Speaker 1: slant because it gives more preference to rural voters. Right, So,

1102
01:03:47,680 --> 01:03:52,440
Speaker 1: knowing that, yeah, it's not they've in the simulations, they

1103
01:03:52,560 --> 01:03:55,560
Speaker 1: run eight They've got somewhere. I think Biden wins by

1104
01:03:55,640 --> 01:03:59,400
Speaker 1: like six points and still loses the electoral college because

1105
01:03:59,440 --> 01:04:02,560
Speaker 1: of so any of the votes are concentrated in California

1106
01:04:02,680 --> 01:04:06,120
Speaker 1: or whatever states he flips, and then Trump narrowly wins

1107
01:04:06,160 --> 01:04:09,280
Speaker 1: all these others, and that can do it. It's mathematically possible.

1108
01:04:10,120 --> 01:04:13,800
Speaker 1: It's just that virtually every other polling agency other than

1109
01:04:13,840 --> 01:04:17,760
Speaker 1: this guy disagrees because the whole the whole concept of

1110
01:04:17,800 --> 01:04:20,920
Speaker 1: people being re eluctant to give like an unpopular answer,

1111
01:04:21,680 --> 01:04:24,280
Speaker 1: that's been that's been a part of polling methodology, going

1112
01:04:24,320 --> 01:04:27,280
Speaker 1: back to the dawn of polls. Like this is an

1113
01:04:27,360 --> 01:04:30,880
Speaker 1: ongoing problem. They actually have algorithms where they try to

1114
01:04:31,200 --> 01:04:33,960
Speaker 1: account for it. I've got a link here we can

1115
01:04:34,000 --> 01:04:38,080
Speaker 1: include in the footnotes water when they talk about that

1116
01:04:38,120 --> 01:04:42,520
Speaker 1: the issue is not one it's I don't know how

1117
01:04:42,560 --> 01:04:46,560
Speaker 1: many Trump supporters, you know, they tend to not be shy,

1118
01:04:46,920 --> 01:04:48,680
Speaker 1: and and this guy is saying, well, yeah, but in

1119
01:04:48,680 --> 01:04:51,040
Speaker 1: a blue state, they'd be afraid to admit that they're

1120
01:04:51,120 --> 01:04:53,160
Speaker 1: But these polls are not conducted on the street in

1121
01:04:53,200 --> 01:04:56,640
Speaker 1: front of their their liberal friends. They're they're often anonymous

1122
01:04:56,640 --> 01:05:01,400
Speaker 1: online surveys and a blue a Biden supporter in deep

1123
01:05:01,480 --> 01:05:04,680
Speaker 1: red Alabama, you could say the same thing, like they're

1124
01:05:04,720 --> 01:05:06,680
Speaker 1: they're afraid to come out. It's like that's a place

1125
01:05:06,680 --> 01:05:08,600
Speaker 1: where you put a Biden signe in your yard and

1126
01:05:08,640 --> 01:05:13,960
Speaker 1: somebody's gonna shoot it with a shotgun. So again, the

1127
01:05:14,040 --> 01:05:16,920
Speaker 1: reason people like this narrative is because of this this

1128
01:05:17,600 --> 01:05:22,040
Speaker 1: kind of thing that liberals are so mean to Trump supporters,

1129
01:05:22,160 --> 01:05:25,520
Speaker 1: um and we're and the cancel culture and whatever the

1130
01:05:26,040 --> 01:05:28,320
Speaker 1: whatever they throw around, like these people are so vicious

1131
01:05:28,400 --> 01:05:32,000
Speaker 1: that everyone's afraid they're that they to admit they support Trump.

1132
01:05:34,200 --> 01:05:36,280
Speaker 1: That I mean, Trump is running ahead of a lot

1133
01:05:36,280 --> 01:05:39,640
Speaker 1: of Republican Senate candidates, he's running ahead of of Congress.

1134
01:05:39,920 --> 01:05:42,760
Speaker 1: So it's that's if that's the case, you would think

1135
01:05:42,800 --> 01:05:44,840
Speaker 1: you would have those same Republicans saying, oh, yeah, I

1136
01:05:44,880 --> 01:05:47,440
Speaker 1: support Blank for Senate, but I won't vote for that

1137
01:05:47,560 --> 01:05:50,160
Speaker 1: filthy criminal Trump. Even though they secreted are you're not

1138
01:05:50,160 --> 01:05:54,240
Speaker 1: getting that, You're getting the opposite answer. So anything can

1139
01:05:54,280 --> 01:05:57,680
Speaker 1: happen again, every time you say something like this on Twitter,

1140
01:05:57,720 --> 01:06:01,680
Speaker 1: you immediately get a wave of answers like, don't get complacent, Please,

1141
01:06:01,760 --> 01:06:04,680
Speaker 1: don't get complacent. I'm telling you there are many, many

1142
01:06:04,720 --> 01:06:08,400
Speaker 1: motivated Trump voters. It's just that it would be much

1143
01:06:08,480 --> 01:06:11,800
Speaker 1: weirder if he won now then if he had then

1144
01:06:11,880 --> 01:06:15,280
Speaker 1: one sixteen was unlikely. I think if you redo that

1145
01:06:15,360 --> 01:06:19,040
Speaker 1: election he wins at three times and loses seven this time,

1146
01:06:19,080 --> 01:06:23,160
Speaker 1: it's it would be much stranger. So just going off

1147
01:06:23,200 --> 01:06:27,320
Speaker 1: five thirty eight, because I agree their methodology is more

1148
01:06:27,400 --> 01:06:30,240
Speaker 1: valid than a lot of the other ones, there's still

1149
01:06:30,640 --> 01:06:33,880
Speaker 1: and I think rightly, so they still have a sizeable

1150
01:06:33,960 --> 01:06:38,040
Speaker 1: chance that he wins. It's not like it's thirteen in

1151
01:06:38,120 --> 01:06:41,720
Speaker 1: a hundred is what they currently have it at. They

1152
01:06:41,760 --> 01:06:46,120
Speaker 1: currently give him a eight and ten chance that Biden

1153
01:06:46,120 --> 01:06:49,720
Speaker 1: wins the popular vote but loses the electoral college, so

1154
01:06:52,640 --> 01:06:57,920
Speaker 1: sorry sorry, and then five percent chance that Trump wins

1155
01:06:58,000 --> 01:07:01,920
Speaker 1: both the electoral college edge in the popular vote. So

1156
01:07:01,960 --> 01:07:04,640
Speaker 1: that's what happened the first time. I think we look

1157
01:07:04,720 --> 01:07:08,360
Speaker 1: for polls to do something that they can't do like

1158
01:07:08,520 --> 01:07:11,360
Speaker 1: last time. I think heading into the election, it was

1159
01:07:12,040 --> 01:07:15,200
Speaker 1: high thirty percent chance that Trump will win. So he's

1160
01:07:15,280 --> 01:07:19,880
Speaker 1: still an underdog, but that's not that much of an underdog.

1161
01:07:20,000 --> 01:07:23,800
Speaker 1: Like if a baseball player going up to bat bats

1162
01:07:23,840 --> 01:07:27,080
Speaker 1: over three hundred, that is a good hitter. You are

1163
01:07:27,120 --> 01:07:29,440
Speaker 1: not surprised. Yeah, you're not surprised at all. If he

1164
01:07:29,480 --> 01:07:33,800
Speaker 1: gets a hit and this is a one in ten

1165
01:07:33,960 --> 01:07:38,320
Speaker 1: or a thirteen and a hundred chants is not likely.

1166
01:07:39,160 --> 01:07:42,800
Speaker 1: But it's also you know, it's a thing that sometimes happens,

1167
01:07:42,840 --> 01:07:45,919
Speaker 1: like if a pitcher gets up in baseball and gets

1168
01:07:45,920 --> 01:07:48,360
Speaker 1: a hit, like you see that all the time. That

1169
01:07:48,400 --> 01:07:50,400
Speaker 1: happens all the time if you watch a lot of baseball.

1170
01:07:50,960 --> 01:07:54,680
Speaker 1: So I don't know, I just think that, like anything

1171
01:07:54,720 --> 01:07:58,600
Speaker 1: can happen. Those states that he talks about Trump winning

1172
01:07:59,080 --> 01:08:03,760
Speaker 1: like that that are being granted to Biden are all

1173
01:08:03,880 --> 01:08:08,960
Speaker 1: very close in the polling averages. And even if Trump

1174
01:08:09,000 --> 01:08:16,360
Speaker 1: wins Texas, Ohio, Georgia, Iowa, North Carolina, Arizona, and Florida,

1175
01:08:16,800 --> 01:08:20,800
Speaker 1: he would still lose if Biden won Pennsylvania. Yes, to

1176
01:08:20,920 --> 01:08:23,479
Speaker 1: be it has to be basically sweep everything where he's

1177
01:08:23,520 --> 01:08:26,240
Speaker 1: down by a few points. So you need a polling

1178
01:08:26,400 --> 01:08:30,080
Speaker 1: error that is somehow wrong across demographic groups across states,

1179
01:08:30,080 --> 01:08:33,040
Speaker 1: which again which happens. Yeah, I mean, they've made the

1180
01:08:33,080 --> 01:08:39,120
Speaker 1: point that when it's not like these are all independent variables, right,

1181
01:08:39,160 --> 01:08:42,679
Speaker 1: It's not like if suddenly he overperforms by six points

1182
01:08:42,760 --> 01:08:46,080
Speaker 1: in Ohio, it would be it would require him to

1183
01:08:47,439 --> 01:08:51,960
Speaker 1: equally unlikely overperformed by six points in Pennsylvania. It's like, no,

1184
01:08:52,160 --> 01:08:57,080
Speaker 1: they're responding to the same condition that was true across

1185
01:08:57,520 --> 01:09:00,840
Speaker 1: Ohio and Pennsylvania and Florida, which is what happened in

1186
01:09:00,840 --> 01:09:03,639
Speaker 1: the last election. But those are all things they take

1187
01:09:03,680 --> 01:09:07,240
Speaker 1: into account. Uh, They're all things that can happen, which

1188
01:09:07,320 --> 01:09:11,120
Speaker 1: is why Biden they were not the ones who in

1189
01:09:11,439 --> 01:09:15,120
Speaker 1: the election, we're like, yeah, Trump has less than a

1190
01:09:15,200 --> 01:09:18,000
Speaker 1: one in hundred chants of when they were like no,

1191
01:09:18,160 --> 01:09:21,439
Speaker 1: it's like he's an underdog. But it could easily happen,

1192
01:09:21,680 --> 01:09:24,200
Speaker 1: and it did. There. We had some of the pundits

1193
01:09:24,280 --> 01:09:26,480
Speaker 1: the way they were talking. He felt like the halftime

1194
01:09:26,520 --> 01:09:28,800
Speaker 1: of Game six of the NBA Finals were like the

1195
01:09:28,880 --> 01:09:31,400
Speaker 1: Lakers were had such a lead, where like at halftime

1196
01:09:31,400 --> 01:09:34,599
Speaker 1: they're like, yeah, credit to the Miami Heat. They really

1197
01:09:36,040 --> 01:09:37,519
Speaker 1: hard and I was like, yo, yo, don't do this

1198
01:09:37,560 --> 01:09:40,439
Speaker 1: ship right, Like, let the game fucking end. And it

1199
01:09:40,840 --> 01:09:44,120
Speaker 1: has like this similar feeling. But yeah, I think I

1200
01:09:44,120 --> 01:09:47,160
Speaker 1: think most people still have that trauma of feeling like

1201
01:09:47,200 --> 01:09:49,360
Speaker 1: the polls are accurate, and I think at the end

1202
01:09:49,400 --> 01:09:50,840
Speaker 1: of the day, all you can do is just try

1203
01:09:50,880 --> 01:09:53,760
Speaker 1: and get as much turned out as possible. But the

1204
01:09:53,760 --> 01:09:55,920
Speaker 1: one thing that anything happened, the one thing I think

1205
01:09:55,920 --> 01:10:00,519
Speaker 1: they're vastly underrating that they say a four in one

1206
01:10:01,000 --> 01:10:05,000
Speaker 1: chance that the election hinges on a recount. Um, I

1207
01:10:05,040 --> 01:10:10,600
Speaker 1: think that we're very likely to see Trump and the

1208
01:10:10,640 --> 01:10:15,760
Speaker 1: Republicans and Fox News find a way to invalidate uh

1209
01:10:16,040 --> 01:10:20,400
Speaker 1: states where it's close or even not that close, but

1210
01:10:20,560 --> 01:10:26,240
Speaker 1: they will find ways to throw question on a bunch

1211
01:10:26,240 --> 01:10:29,639
Speaker 1: of votes and claim voter fraud. And you know, it's

1212
01:10:29,680 --> 01:10:33,519
Speaker 1: just something Republicans have done before. And this is an

1213
01:10:33,520 --> 01:10:38,040
Speaker 1: administration and a Republican Party that no longer is required

1214
01:10:38,120 --> 01:10:40,679
Speaker 1: to hide it when when they're wrong or when they're

1215
01:10:40,720 --> 01:10:45,439
Speaker 1: doing something illegal, like they have lost all, uh you know,

1216
01:10:45,560 --> 01:10:50,880
Speaker 1: any tether too accountability. So why wouldn't they do that. Yeah,

1217
01:10:50,920 --> 01:10:54,599
Speaker 1: it's like a case where if well, like let's say

1218
01:10:54,600 --> 01:10:56,880
Speaker 1: you're you're in the NBA Finals game where for some reason,

1219
01:10:56,920 --> 01:11:01,320
Speaker 1: according to some rule, we have to win by fifteen points. Right, Yeah,

1220
01:11:01,479 --> 01:11:03,559
Speaker 1: it's not it can't be close. We can't win by

1221
01:11:03,600 --> 01:11:05,840
Speaker 1: one by one vote. And I don't know if the

1222
01:11:05,880 --> 01:11:08,439
Speaker 1: Republicans in your audience hate it if I keep saying

1223
01:11:08,479 --> 01:11:12,080
Speaker 1: we like we're on the by part of the Biden administration.

1224
01:11:12,120 --> 01:11:16,400
Speaker 1: But it's it's a case where it has to be

1225
01:11:16,760 --> 01:11:19,000
Speaker 1: a big it doesn't have to be a landslide, but

1226
01:11:19,080 --> 01:11:21,920
Speaker 1: it's got to be enough that on election night we

1227
01:11:22,240 --> 01:11:25,759
Speaker 1: pretty much know and that there's not enough of where

1228
01:11:25,760 --> 01:11:27,640
Speaker 1: where there's not it's not close enough to trigger any

1229
01:11:27,720 --> 01:11:30,400
Speaker 1: recounts or anything like that. It's got to be you know,

1230
01:11:30,680 --> 01:11:33,799
Speaker 1: seven points in Pennsylvania, you know, maybe three points in Florida,

1231
01:11:33,960 --> 01:11:35,920
Speaker 1: like where even if all those that where they won

1232
01:11:36,000 --> 01:11:38,320
Speaker 1: by two one to three points, where it still wouldn't

1233
01:11:38,320 --> 01:11:41,080
Speaker 1: get him two to seventy or whatever, it's got to

1234
01:11:41,120 --> 01:11:45,080
Speaker 1: be an overwhelming victory. So it's it. Yeah, that's what

1235
01:11:45,200 --> 01:11:47,559
Speaker 1: I'm nervous about. It. It's not it's it would be

1236
01:11:47,600 --> 01:11:50,400
Speaker 1: stunning to me if Trump got more votes, that would

1237
01:11:50,400 --> 01:11:53,559
Speaker 1: mean something truly weird had happened. And especially in fact

1238
01:11:53,600 --> 01:11:55,760
Speaker 1: that ten percent of people have already voted, there's something

1239
01:11:55,800 --> 01:11:59,840
Speaker 1: like seventeen million votes in already. Um, what I'm more

1240
01:12:00,120 --> 01:12:02,080
Speaker 1: armed by is that it's it has to be by

1241
01:12:02,080 --> 01:12:04,200
Speaker 1: a comfortable margin if you want this to do what

1242
01:12:04,320 --> 01:12:08,360
Speaker 1: it's going to do, which is truly be a rebuke

1243
01:12:08,439 --> 01:12:11,479
Speaker 1: to Trump and truly send the message that doing it

1244
01:12:11,560 --> 01:12:14,360
Speaker 1: the way Trump did it is not a model for

1245
01:12:14,439 --> 01:12:17,760
Speaker 1: future Republicans. Like having you know, an attorney general that's

1246
01:12:17,800 --> 01:12:19,960
Speaker 1: just your attack off right, this is not a model

1247
01:12:19,960 --> 01:12:22,799
Speaker 1: that works. I don't want I don't want Tucker Carlson

1248
01:12:22,840 --> 01:12:26,559
Speaker 1: to be out there dreaming of running in as like Trump,

1249
01:12:26,680 --> 01:12:29,280
Speaker 1: but a little bit more media savvy, a little bit

1250
01:12:29,320 --> 01:12:31,720
Speaker 1: smarter and younger. I don't I don't want that. I

1251
01:12:31,800 --> 01:12:34,360
Speaker 1: want this too. I want it to obliterate the idea

1252
01:12:34,479 --> 01:12:39,559
Speaker 1: that this is a good way to function as a president. Yeah,

1253
01:12:39,760 --> 01:12:42,080
Speaker 1: that is the thing that's being talked about it a

1254
01:12:42,080 --> 01:12:46,000
Speaker 1: lot on the right. Is Tucker Carlson the future Republican

1255
01:12:46,040 --> 01:12:51,639
Speaker 1: presidential candidate. I mean he'll do great. Yeah he's uh,

1256
01:12:51,880 --> 01:12:54,320
Speaker 1: I mean he probably will. I mean he will because

1257
01:12:54,320 --> 01:12:58,000
Speaker 1: there is some actual, like, you know, racist asshole with

1258
01:12:58,080 --> 01:13:00,639
Speaker 1: his ship together that's looking at Trump is like, you're

1259
01:13:00,640 --> 01:13:03,080
Speaker 1: fucking this all up? Man, He's like this it could

1260
01:13:03,080 --> 01:13:04,800
Speaker 1: have been so much, It could have been so much

1261
01:13:04,800 --> 01:13:07,080
Speaker 1: worse of Trump actually what he was doing, Yeah, exactly,

1262
01:13:07,120 --> 01:13:09,360
Speaker 1: And I know those people are like rubbing their myths

1263
01:13:09,560 --> 01:13:12,879
Speaker 1: for another bite of that apple. If Tucker Carlson's already

1264
01:13:12,920 --> 01:13:17,760
Speaker 1: done the uh you know populists economic thing that Trump

1265
01:13:17,920 --> 01:13:22,759
Speaker 1: like made head fakes towards populist economic policies but didn't

1266
01:13:24,080 --> 01:13:26,760
Speaker 1: embrace them at all. And still it's funny because then

1267
01:13:26,760 --> 01:13:29,720
Speaker 1: Tucker carlsonization is like, why is it a surprise now

1268
01:13:29,840 --> 01:13:32,920
Speaker 1: that millennials prefer socialism? Well, if you look at the

1269
01:13:32,920 --> 01:13:35,679
Speaker 1: economics of it, and like he's it's like he's smart

1270
01:13:35,800 --> 01:13:38,920
Speaker 1: enough to know, like where what the motivations are generationally,

1271
01:13:39,240 --> 01:13:42,040
Speaker 1: and I think that's where that's how you that's where

1272
01:13:42,040 --> 01:13:44,400
Speaker 1: it gets dangerous because if some people are like, well,

1273
01:13:44,400 --> 01:13:46,320
Speaker 1: you know, Tucker Crosson got a point about that. I mean,

1274
01:13:46,400 --> 01:13:48,360
Speaker 1: I'm not a person of color or you know, in

1275
01:13:48,400 --> 01:13:50,599
Speaker 1: a mind in a marginalized group. But what he's saying

1276
01:13:50,640 --> 01:13:54,640
Speaker 1: about like my class thing, that's facts. So and he

1277
01:13:54,680 --> 01:13:56,559
Speaker 1: knows how to be a messy bitch who loves drama,

1278
01:13:56,760 --> 01:14:00,120
Speaker 1: like he accused The New York Times of give the

1279
01:14:00,120 --> 01:14:06,040
Speaker 1: Way like doxing him. Yeah you arrest Yeah all right, Jason.

1280
01:14:06,479 --> 01:14:11,040
Speaker 1: It's been a pleasure as always having you here on

1281
01:14:11,080 --> 01:14:15,280
Speaker 1: the show Where can people find you? Follow you, read you,

1282
01:14:16,200 --> 01:14:19,160
Speaker 1: Where you At? I have a new book coming out

1283
01:14:19,240 --> 01:14:22,400
Speaker 1: this week that is on shelves. You cannot miss it

1284
01:14:22,520 --> 01:14:25,960
Speaker 1: because it is titled Zoe Punches the Future and the Dick.

1285
01:14:28,320 --> 01:14:30,080
Speaker 1: I want to see that ship on the New York

1286
01:14:30,080 --> 01:14:34,120
Speaker 1: Times bestseller list next week. You guys, don't buy this ship.

1287
01:14:34,640 --> 01:14:37,000
Speaker 1: That would be the dream. I I know that the

1288
01:14:37,000 --> 01:14:39,320
Speaker 1: New York Times can pick and choose what they want

1289
01:14:39,360 --> 01:14:41,519
Speaker 1: to be on their list because it's not a list

1290
01:14:41,560 --> 01:14:44,679
Speaker 1: of sales. It's a They kind of decide what's gonna

1291
01:14:44,680 --> 01:14:47,400
Speaker 1: be on there, so um, that's fine, but yeah, that

1292
01:14:47,400 --> 01:14:49,680
Speaker 1: would be That would be the dream. Otherwise, No, the

1293
01:14:49,960 --> 01:14:54,880
Speaker 1: cover it's It's uh takes place in the future. It's

1294
01:14:54,880 --> 01:14:58,760
Speaker 1: a sci fi novel. It is strangely relevant to things

1295
01:14:58,800 --> 01:15:00,920
Speaker 1: that are going on today. That's why it has a

1296
01:15:00,960 --> 01:15:06,240
Speaker 1: title that fits the tone of because that's where we

1297
01:15:06,280 --> 01:15:09,000
Speaker 1: are as a culture. Is there a tweet or some

1298
01:15:09,080 --> 01:15:12,439
Speaker 1: other work of social media you've been enjoyed as a

1299
01:15:12,560 --> 01:15:17,840
Speaker 1: tweet from at b Kratz, who simply said, sociopaths are

1300
01:15:17,880 --> 01:15:20,559
Speaker 1: always so smart in movies and TV that you forget

1301
01:15:20,600 --> 01:15:24,680
Speaker 1: they can also be dumb. If you want to a

1302
01:15:24,840 --> 01:15:27,760
Speaker 1: lesson for the future from this era, that would be

1303
01:15:27,840 --> 01:15:31,639
Speaker 1: it can be a sociopath and also a moron. Trump

1304
01:15:31,800 --> 01:15:36,360
Speaker 1: was never playing four dimensional chest. Uh. You just had

1305
01:15:36,400 --> 01:15:40,599
Speaker 1: that narcissism hack that can take you a long way

1306
01:15:40,640 --> 01:15:44,800
Speaker 1: in America, but not but only so far. Uh, Miles,

1307
01:15:44,800 --> 01:15:48,960
Speaker 1: where can people find you? And what's tweet you've been enjoying? Twitter? Instagram,

1308
01:15:49,000 --> 01:15:52,040
Speaker 1: at Miles of Gray, the other podcast for twenty day

1309
01:15:52,040 --> 01:15:55,400
Speaker 1: if fiance, if you like that ninety day talk? Uh.

1310
01:15:55,479 --> 01:15:58,120
Speaker 1: Some tweets that I was perusing. First one is from

1311
01:15:58,200 --> 01:16:01,000
Speaker 1: at yot from you of his past guest. He says,

1312
01:16:01,000 --> 01:16:04,599
Speaker 1: white people, how do y'all get Entyler Perry movies? It's

1313
01:16:04,600 --> 01:16:07,000
Speaker 1: a very interesting question. I also wondered about that. Another

1314
01:16:07,040 --> 01:16:09,800
Speaker 1: one is at No Power at No Power Raid in

1315
01:16:09,960 --> 01:16:14,280
Speaker 1: USA tweets, Hey, babe, I really appreciate you taking birth control,

1316
01:16:14,360 --> 01:16:16,439
Speaker 1: even if it sucks you up. It just feels really

1317
01:16:16,439 --> 01:16:18,240
Speaker 1: good on my penis. And I'll wear a condom for

1318
01:16:18,280 --> 01:16:20,639
Speaker 1: the fifteen minutes of sex we have twice a week.

1319
01:16:23,600 --> 01:16:26,000
Speaker 1: And then another one from at Colin Barrett eighty two.

1320
01:16:26,080 --> 01:16:27,599
Speaker 1: It's kind of a reference to what we were talking

1321
01:16:27,600 --> 01:16:31,439
Speaker 1: about earlier. Massive respect to everyone still experiencing time as

1322
01:16:31,479 --> 01:16:37,320
Speaker 1: a linear sequence. Uh, that one too. Native the Living

1323
01:16:37,360 --> 01:16:40,519
Speaker 1: Dead tweeted white people have no culture. Oh yeah, we'll

1324
01:16:40,560 --> 01:16:47,320
Speaker 1: explain cults. Uh. And then Marcella Aguao tweeted can't wait

1325
01:16:47,360 --> 01:16:51,360
Speaker 1: to have Alzheimer's and forget everyone around, but still know

1326
01:16:51,600 --> 01:16:54,479
Speaker 1: all the words to nothing but a g thing, which

1327
01:16:54,520 --> 01:16:59,280
Speaker 1: is definitely where I am headed. Uh. And then finally

1328
01:16:59,400 --> 01:17:02,519
Speaker 1: Mark K tweeted, my cousin Vinnie more like my cousin

1329
01:17:02,600 --> 01:17:07,360
Speaker 1: Vinnie's hot fiancee. Um. Oh ship real quick before we go,

1330
01:17:07,439 --> 01:17:10,760
Speaker 1: we gotta figure out what we're watching. Okay, Well, I'm

1331
01:17:10,800 --> 01:17:14,439
Speaker 1: gonna be out Monday, so apologies for that, so this

1332
01:17:14,479 --> 01:17:16,160
Speaker 1: will be Tuesday. You get it again. It's another one

1333
01:17:16,200 --> 01:17:18,600
Speaker 1: where you get a little bit of extra time to

1334
01:17:18,800 --> 01:17:22,520
Speaker 1: check out what we are going to be watching on Netflix.

1335
01:17:23,439 --> 01:17:25,479
Speaker 1: I you know, it's weird. For the first time, I

1336
01:17:25,520 --> 01:17:28,520
Speaker 1: saw like a social video, like a social media ad

1337
01:17:28,680 --> 01:17:30,800
Speaker 1: for a Netflix show and I wanted to watch it,

1338
01:17:30,920 --> 01:17:34,200
Speaker 1: and that was The Cabin with Bert Kreisher. Well that

1339
01:17:34,640 --> 01:17:38,679
Speaker 1: qualifies it is that number six in the Netflix Top ten,

1340
01:17:39,080 --> 01:17:41,519
Speaker 1: we got The Haunting a Blind Manner Number one. QB

1341
01:17:41,640 --> 01:17:45,599
Speaker 1: Halloween Hanging Tough number two, Emily in Paris. Number three.

1342
01:17:45,800 --> 01:17:49,120
Speaker 1: Apparently I quit before Emily starts just having sex with

1343
01:17:49,160 --> 01:17:52,000
Speaker 1: everybody in Paris, So I have to keep going on

1344
01:17:52,040 --> 01:17:57,000
Speaker 1: that one. Uh four Ships Creek, five, six, The Cabin

1345
01:17:57,080 --> 01:18:00,720
Speaker 1: with Bert Kreisher, seven, Evil, eight any ball, I guess

1346
01:18:00,760 --> 01:18:03,679
Speaker 1: that just became available. Nine Coco Milon, and then ten

1347
01:18:03,800 --> 01:18:08,240
Speaker 1: that Millon ain't going away. Coco Milon is gonna be here. Uh,

1348
01:18:08,800 --> 01:18:11,600
Speaker 1: we're all gone. But yeah, so you were saying The

1349
01:18:11,680 --> 01:18:15,080
Speaker 1: Cabin with Bert Kreischer appealed to you, what what what's

1350
01:18:15,120 --> 01:18:17,960
Speaker 1: the premise here? It's just him and like a bunch

1351
01:18:18,000 --> 01:18:21,519
Speaker 1: of comedians actors. It looks like they're just getting like

1352
01:18:21,800 --> 01:18:26,680
Speaker 1: fucked up in a cabin, like smoking cigars, having some drinks. Uh.

1353
01:18:26,720 --> 01:18:29,280
Speaker 1: But the thing that I saw was, uh this, you

1354
01:18:29,280 --> 01:18:32,200
Speaker 1: know stand up name Miss Pat. She comes on. There's

1355
01:18:32,200 --> 01:18:35,479
Speaker 1: like an episode with Joel McHale and Kaylee Kuoco and

1356
01:18:35,520 --> 01:18:38,720
Speaker 1: they're having drinks and they're talking about their their own careers.

1357
01:18:39,160 --> 01:18:42,720
Speaker 1: But then there was a moment where like Miss Pat

1358
01:18:42,840 --> 01:18:44,960
Speaker 1: She's like, I don't really funk with you know, Big

1359
01:18:45,000 --> 01:18:51,320
Speaker 1: Bang theory and is the star of Big Bang Theory, right, yeah, yeah, yeah,

1360
01:18:51,439 --> 01:18:54,000
Speaker 1: and and then uh, Joel is like, dude, it's like

1361
01:18:54,120 --> 01:18:56,840
Speaker 1: literally the most popular thing of all time. And then

1362
01:18:57,200 --> 01:19:00,000
Speaker 1: Kaylee was just sort of like trying to be like, oh,

1363
01:19:00,000 --> 01:19:02,000
Speaker 1: I'll send you the box sets you can watch him,

1364
01:19:02,000 --> 01:19:03,639
Speaker 1: and she's like, no, you know what, honey, I don't

1365
01:19:03,640 --> 01:19:06,080
Speaker 1: think I'm I'm gonna really mess with that. And then

1366
01:19:06,080 --> 01:19:08,840
Speaker 1: she said some ship about being like She's like, it's

1367
01:19:08,840 --> 01:19:11,599
Speaker 1: too smart and I'm not dumb, but it's corny. I

1368
01:19:11,640 --> 01:19:13,559
Speaker 1: just can't get into it. And then just said when

1369
01:19:13,600 --> 01:19:15,719
Speaker 1: I heard y'all were making a million dollars in episode,

1370
01:19:15,760 --> 01:19:17,800
Speaker 1: I was like, who the funk is watching this show

1371
01:19:17,840 --> 01:19:20,960
Speaker 1: to pay these people a million dollars an episode? Straight

1372
01:19:21,000 --> 01:19:25,000
Speaker 1: to Kaylee Quoco's fucking face. So I was like, Yo,

1373
01:19:25,200 --> 01:19:27,960
Speaker 1: you got me. I love just when you just see

1374
01:19:27,960 --> 01:19:30,439
Speaker 1: people being like I don't give a fuck, but I'm

1375
01:19:30,439 --> 01:19:32,320
Speaker 1: gonna talk to you like I'm not gonna you know,

1376
01:19:32,360 --> 01:19:35,040
Speaker 1: it's you know, it's a little spicy. Obviously you're disrespectful,

1377
01:19:35,360 --> 01:19:38,960
Speaker 1: but Kaylee Quoco like just sort of crumbles and I'm

1378
01:19:39,000 --> 01:19:41,479
Speaker 1: part of like, whatever, just go cry on your mountains

1379
01:19:41,479 --> 01:19:44,720
Speaker 1: of cash, just forget about it, all right. So we're

1380
01:19:44,720 --> 01:19:48,440
Speaker 1: watching that. Then we're watching the Cabin with Bert Kreisher.

1381
01:19:48,640 --> 01:19:52,080
Speaker 1: We'll watch a handful of those apps and talk about that.

1382
01:19:52,720 --> 01:19:54,840
Speaker 1: He's got quite the backstory too, So we got a

1383
01:19:54,840 --> 01:19:56,679
Speaker 1: lot of yeah you were saying, a lot of talk

1384
01:19:56,720 --> 01:20:01,439
Speaker 1: about the inspiration for Van Wilder. Yes, and Oliver Stone

1385
01:20:01,840 --> 01:20:10,280
Speaker 1: fucking want like literally optioned his life rights because yeah, party,

1386
01:20:10,400 --> 01:20:14,439
Speaker 1: that's smart party, that smart dude. Fsu bro. Yeah that

1387
01:20:14,520 --> 01:20:16,960
Speaker 1: our coach, Bobby b You know what I mean, shout out,

1388
01:20:17,640 --> 01:20:22,759
Speaker 1: Uh Snoop Menace? Did he play for issue? Who Snoop Menace?

1389
01:20:23,160 --> 01:20:27,160
Speaker 1: I don't know. Anyways, we're gonna talk more about Bert

1390
01:20:27,240 --> 01:20:32,400
Speaker 1: Kreischer's uh party biography and uh what he gets up

1391
01:20:32,400 --> 01:20:36,519
Speaker 1: to at the Cabin with Berts. All Right, you can

1392
01:20:36,560 --> 01:20:39,000
Speaker 1: find me on Twitter, Jack Underscore O'Brien. You can find

1393
01:20:39,080 --> 01:20:41,400
Speaker 1: us on Twitter at daily zeit guys. We're at the

1394
01:20:41,560 --> 01:20:44,240
Speaker 1: daily zeit geys on Instagram with Facebook fan page, and

1395
01:20:44,280 --> 01:20:46,840
Speaker 1: the website daily zeitgeis dot com where we post our

1396
01:20:46,880 --> 01:20:49,800
Speaker 1: episodes on our foot notes or we link off to

1397
01:20:49,800 --> 01:20:52,120
Speaker 1: the information that we talked about in today's episode, as

1398
01:20:52,120 --> 01:20:55,200
Speaker 1: well as the song we ride out on Miles? What

1399
01:20:55,240 --> 01:20:58,519
Speaker 1: are we riding out on today? We're talking about Canada

1400
01:20:58,680 --> 01:21:00,639
Speaker 1: and now I'm talking about it can a Indian group

1401
01:21:00,800 --> 01:21:04,960
Speaker 1: from Ottawa called Our Songs and this is a track

1402
01:21:05,040 --> 01:21:08,439
Speaker 1: called Ladybug and they're got you know, they're like sort

1403
01:21:08,439 --> 01:21:11,240
Speaker 1: of they they span many genres, but it feels like

1404
01:21:11,280 --> 01:21:14,640
Speaker 1: a little bit of prints, a little bit of outcast,

1405
01:21:15,120 --> 01:21:18,479
Speaker 1: a little bit of Kid Cutty. Um. This track, Lady

1406
01:21:18,479 --> 01:21:20,280
Speaker 1: Bugg is this got just got good feels to it

1407
01:21:20,320 --> 01:21:22,640
Speaker 1: and a little you know, the guitar plan and some

1408
01:21:22,720 --> 01:21:25,599
Speaker 1: falsetto So check this one out. Ladybug by Our Songs

1409
01:21:26,240 --> 01:21:28,200
Speaker 1: kind of like Kid Cutti is one of the more

1410
01:21:28,360 --> 01:21:32,040
Speaker 1: influential artists who like didn't have a ton of like

1411
01:21:32,160 --> 01:21:37,759
Speaker 1: mainstream hits. But yeah, yeah, everybody who makes music loves

1412
01:21:37,800 --> 01:21:40,400
Speaker 1: them all right. Well. The Daily zey Geys is a

1413
01:21:40,439 --> 01:21:43,280
Speaker 1: production by Heart Radio. For more podcasts from my heart Radio,

1414
01:21:43,360 --> 01:21:46,600
Speaker 1: visit the heart Radio app, Apple Podcasts, or wherever you

1415
01:21:46,640 --> 01:21:49,760
Speaker 1: listen to your favorite shows. That is going to do

1416
01:21:49,840 --> 01:21:53,080
Speaker 1: it for this morning show. We'll be back this afternoon

1417
01:21:53,080 --> 01:21:57,240
Speaker 1: to tell you what's trending, and we'll also figure out

1418
01:21:57,280 --> 01:22:00,600
Speaker 1: what we're rewatching over the weekend, because we forgot to

1419
01:22:00,600 --> 01:22:02,720
Speaker 1: do that on this episode. We'll do that on the

1420
01:22:02,760 --> 01:22:05,559
Speaker 1: trends today. Uh and we will talk to you all

1421
01:22:05,720 --> 01:22:28,200
Speaker 1: then Bye. Eye good to lead, leading to lead, Sad.

1422
01:22:31,720 --> 01:22:34,679
Speaker 1: I know you wanted to switch you to fly away,

1423
01:22:34,720 --> 01:22:39,040
Speaker 1: to escape, but the picitions for me away when you

1424
01:22:39,160 --> 01:22:42,200
Speaker 1: when the move you want to get into movement around

1425
01:22:42,200 --> 01:22:43,000
Speaker 1: to the sulfa