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Speaker 1: So I got an unofficial pulling result from the Jersey

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Speaker 1: Shore Graphic T shirt stores for the upcoming election. Oh yeah,

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Speaker 1: we got at least seventeen Trump T shirts, including miss

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Speaker 1: Me Yet with cartoon south Park Trump, Biden's great This

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Speaker 1: is with Biden's face crying. Biden's greatest accomplishment is showing

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Speaker 1: people how great Trump was. I am more mega now

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Speaker 1: than ever we got. Let me just tally this up.

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Speaker 1: Zero for the Biden Harris campaign, and we've got at

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Speaker 1: least a dozen for the Hawk to a Girl howktua

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Speaker 1: twenty four? There are there are HOWK tour shirts everywhere.

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Speaker 2: Dude, the right loves hok to a girl? I know

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Speaker 2: how they love her?

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Speaker 1: They like yeah no, it's written in like the Biden

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Speaker 1: vance font and it says hawk to U twenty four.

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Speaker 1: Spit on that than.

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Speaker 2: Wo Trump just picked her, I know actually.

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Speaker 1: Would have been much a much more solid pick.

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Speaker 2: And how many did you see people buy?

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Speaker 3: How many purchases did you witness aside from like the

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Speaker 3: iconography to be like this store is down with Trump and.

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Speaker 1: There I don't see anybody buying one. I think I

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Speaker 1: saw like one mega hat right on the on the boards. Yeah,

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Speaker 1: and then there's like one house that is like just

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Speaker 1: completely I mean not there there are Trump flags. There's yeah,

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Speaker 1: you seeing a hand for of Trump flags, but there's

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Speaker 1: one that's like completely trump flagged out. And then the

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Speaker 1: person was like getting out of their cars and like

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Speaker 1: all their gear was Trump's Trump shit. So he's here

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Speaker 1: for you in Jersey, and I mean these people are

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Speaker 1: like mostly Pennsylvanian people, so not good for us. Good

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Speaker 1: for the hawk to a girl when she eventually like

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Speaker 1: goes on tour and starts doing political rallies. Hello the Internet,

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Speaker 1: and welcome to this week trend edition of a production

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Speaker 1: of iHeartRadio. Yeah, this is a podcast where you take

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Speaker 1: a deep gut into American share consciousness. Miles, it's Monday Morning.

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Speaker 1: It's the one where we catch people up on what

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Speaker 1: was happening over the weekend, catch people up on what

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Speaker 1: is happening with us and how are you doing? I

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Speaker 1: am in a.

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Speaker 3: Correct good I was talked out of seeing Deadpool versus

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Speaker 3: Wolverine by someone. Oh really, Yeah, that was like an

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Speaker 3: interesting conversation I had, or like it's fine, but it's

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Speaker 3: like someone who like they're a filmmaker. They were like

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Speaker 3: it just felt like the movie was created to create

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Speaker 3: a bunch of.

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Speaker 2: Fight scenes and not really like like a.

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Speaker 3: Movie, but it's just like, hey, they just everything's in

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Speaker 3: a reason to just start fucking each other up.

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Speaker 2: And I'm like, oh, well, yeah, that's fine.

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Speaker 3: I mean I saw I saw Twisters to watch guys

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Speaker 3: get sucked off by the sky.

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Speaker 2: So I think, I don't know. I think I'm gonna

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Speaker 2: have to go, but I imagine I don't want to.

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Speaker 1: Go, feel like we owe it to our listeners to

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Speaker 1: go and just have really washed takes on.

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Speaker 3: Oh man, this wor green guy, what's his deal? I

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Speaker 3: thought Jalen Rose was going to show up and he didn't.

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Speaker 1: Nice fab five reference miles.

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Speaker 2: Yes, I live in nineteen.

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Speaker 3: I'm squarely in thirty years ago.

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Speaker 2: But yeah, other than that, I've it's been. It's been nice.

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Speaker 2: I've been watching the Olympics and dude, the baby fucking

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Speaker 2: loves it.

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Speaker 1: That's why the baby loves the Olympics.

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Speaker 3: We were watching the trip jump, the women's triple jump,

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Speaker 3: and the way this fool thought he could triple jump

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Speaker 3: just from watching.

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Speaker 2: It over and over, I thought he was hurt himself.

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Speaker 1: Track and Field really surprises me every time with just like,

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Speaker 1: I don't know how bizarre the actions are, like how weird,

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Speaker 1: like the just like you go from one body type

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Speaker 1: to you go from like giant like hulk of a

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Speaker 1: person who's just really good at like spinning around and

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Speaker 1: throwing fucking hammers for some reason, to like the human

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Speaker 1: pogo sticks in the high jump like the women. They're like, yeah,

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Speaker 1: it does. It feels like if an alien was watching

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Speaker 1: the Olympics, they'd be like, oh, humans are all these Yeah,

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Speaker 1: they have the tall, sprunky ones and then you've got

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Speaker 1: the sick hammer throw guys. Get the dude with it,

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Speaker 1: with the thick fucking boner trying to all types of

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Speaker 1: human beings are predicted too damn big for the Olympics.

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Speaker 1: We'll we'll get to him, but first we do like

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Speaker 1: to get to know each other a little bit better

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Speaker 1: by telling the people something we think is underrated, something

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Speaker 1: we think is overrated. Miles, you want to kick us

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Speaker 1: off with something he thinks underrated?

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Speaker 2: Underrated?

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Speaker 3: I honestly, how quickly the Olympics like puts me into

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Speaker 3: like a diet jingleism stage.

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Speaker 2: Yes, yeah, for all.

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Speaker 3: Of my misgivings about this country, it's politics. The grievances

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Speaker 3: I have against how the Olympics are organized and put on.

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Speaker 2: Yeah, I just can't help.

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Speaker 3: But when it's like who runs faster across the circle

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Speaker 3: around the circle, I'm like, oh, I found myself.

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Speaker 1: I found myself chanting usay with my little nephews there.

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Speaker 1: But I got.

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Speaker 3: Come on, oh yeah, yeah, yeah that was I was

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Speaker 3: kind of part of me thought. Noah Lyles looked a

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Speaker 3: little bit shook like Shakari Richardson. I definitely could tell.

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Speaker 3: I was like, oh, you don't look like the races

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Speaker 3: I've seen you. When you win, you just she has

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Speaker 3: like a look in her eye. She'd be great to

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Speaker 3: get second place. But no, it's just funny how quickly

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Speaker 3: like you like there's like this like uh like black

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Speaker 3: Andese sprinter guy from Japan, and I'm like doing the

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Speaker 3: Leonardo DiCaprio thing.

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Speaker 2: I'm like, I'm like, paye, get in here.

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Speaker 3: There's not only there's this guy too, and yeah, just

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Speaker 3: like seeing that is like super fun. And I remember

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Speaker 3: getting really like invested in the mixed four by four

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Speaker 3: hundred relay where the US broke the record, shattered the

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Speaker 3: Olympic and world record, like in their first heat, like

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Speaker 3: qualifying heat and then lost in the gold medal race

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Speaker 3: to the Netherlands because Femkabole was like this, Yeah, yeah,

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Speaker 3: femkabol was running the anchor leg and just steamed them.

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Speaker 3: But anyway, like it's just funny to be like I'm

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Speaker 3: like them, like the whole gold Like the noises I'm

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Speaker 3: making are so fucking weird and yeah, like all these

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Speaker 3: I think the other part is it allows me to

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Speaker 3: sort of remind myself, like what is actually good about

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Speaker 3: like a country is like there are people like that.

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Speaker 3: They're all kinds of different people who have all kinds

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Speaker 3: of different like aims that they have, like with their athletics,

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Speaker 3: and they get to act it out and like for

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Speaker 3: them personally as athletes and like the purest form of competition,

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Speaker 3: which is just like you know, say I'm an Olympian.

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Speaker 2: Or whatever, are here to take a gold medal.

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Speaker 3: Yeah, and so yeah, it allowed me to be like, yeah, man,

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Speaker 3: there's good people in our country. I think for the

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Speaker 3: most part, if I don't look into social media posts

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Speaker 3: and not even that I like do that to like

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Speaker 3: heal myself, but you're able to see like the positivity

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Speaker 3: where like when you see someone who's like just very joyful,

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Speaker 3: not even for like the US, like all athletes, you

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Speaker 3: just kind of you get what it means to do it.

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Speaker 3: And I became and also along with that underrated thing

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Speaker 3: is how insanely jealous I become watching the Olympics.

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Speaker 1: Like I don't know if I've said this, good people.

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Speaker 3: The reason I left politics was I was watching the

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Speaker 3: twenty ten Vancouver Olympics and this like skier like one,

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Speaker 3: you know, the gold medal, and like they were crying.

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Speaker 3: They were so like, you know, happy for themselves, and

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Speaker 3: I was like, yeah, I was like I don't have

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Speaker 3: anything like this, Like I don't have a thing where

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Speaker 3: like if I did it, I would cry because I

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Speaker 3: did it. And then I was trying to think, I'm like,

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Speaker 3: what is a thing that I could that I want

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Speaker 3: to do that I want to dedicate myself to, not

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Speaker 3: necessarily that it's athletics or whatever, but is there something

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Speaker 3: I can give myself to like that?

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Speaker 1: And that's why that horrible triple triple jumping accident.

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Speaker 3: Yeah yeah, yeah, I needed broke both my ankles real bad.

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Speaker 1: I don't realize the Olympics had that much of a

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Speaker 1: hold on you. That's I got there with the Noah

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Speaker 1: Lyles though. That sure, sure, that fucked me all the

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Speaker 1: way up.

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Speaker 2: Oh yeah, sure, sure.

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Speaker 1: I had a Star Wars Like, watching one of the

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Speaker 1: Star Wars has made me choose where I wanted to

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Speaker 1: go to college. What yeah the reason? Yeah yeah, I

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Speaker 1: watched the first Star Wars and there was like it

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Speaker 1: was so stupid. It was like the Jedi, Like I

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Speaker 1: was deciding between Georgetown and Penn and there was like

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Speaker 1: something about the Jedi that I was like, that's kind

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Speaker 1: of like the fucking jesuit at Twitch shown so fucking dumb.

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Speaker 1: I just it doesn't make any sense.

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Speaker 3: No, but it's it's weird, how just certain little things

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Speaker 3: like nudge you Like at the time, I was just

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Speaker 3: total too. I hated working in polic Like I just

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Speaker 3: hated it. And I was like drinking more than I

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Speaker 3: ever had because I was just like trying to escape

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Speaker 3: like the bleakness of it all, because I went in

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Speaker 3: so idealistic and became you know, radicalized pretty quickly. And

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Speaker 3: then I was like nope, nope, I want to cry

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Speaker 3: going downhill. I need to find my Olympics whatever that is.

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Speaker 3: And so anyway, so now when I see that too,

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Speaker 3: now I'm like, ah.

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Speaker 2: You lucky motherfuckers, look at you.

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Speaker 1: Yeah, thank you so great? All right? My underrated is

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Speaker 1: how easy it is to die in the ocean. I

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Speaker 1: am at my I'm on Jersey Shore, working from Jersey

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Speaker 1: Shore this week. So there are these things that I

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Speaker 1: think I can do just because I can imagine myself

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Speaker 1: doing them. Like when I'm in the nosebleeds at a concert,

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Speaker 1: I'm always like, if I got a running start and

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Speaker 1: like jumped from here, I could make it all the

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Speaker 1: way to the court right like I probably spraying my ankle,

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Speaker 1: but like I I could do that.

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Speaker 2: What's the I'm sorry, can you describe this distance again

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Speaker 2: from where to where?

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Speaker 1: Like if you're in a like stadium where it's like

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Speaker 1: a steep like you know, have you ever had that thought?

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Speaker 1: Like if I just like ran and jumped straight out

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Speaker 1: like I could, I could make it. Yeah, because I

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Speaker 1: keep going outward.

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Speaker 2: That's where the rise versus run debates.

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Speaker 1: Yeah, and I think it's definitely not true, but it's

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Speaker 1: I don't I've never been in a stadium without having

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Speaker 1: that thought. I had always for similar reasons, I'd always

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Speaker 1: assumed I could swim in like rough ocean water like

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Speaker 1: I could in a pool, you know, if I get tired,

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Speaker 1: just like out on my back for a little while. Yeah.

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Speaker 2: Yeah, yeah.

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Speaker 1: I am an experienced swimmer in pools. I am not

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Speaker 1: an experienced swimmer in oceans, and but I decided to

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Speaker 1: try an open water ocean swimming course yesterday with my

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Speaker 1: with my brother in law, who is an experienced swimmer

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Speaker 1: in the ocean. It was freezing. There was like a

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Speaker 1: ton of way. Yeah. I was like, they're like, all right,

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Speaker 1: just like get out past the breaks. It's cold, so

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Speaker 1: you know, just like the water is going to take

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Speaker 1: your breath away. By the time I like got out

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Speaker 1: to the place where the course began, I was like,

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Speaker 1: oh I'm going to die.

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Speaker 2: I'm like, oh wow, like this is how it ends.

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Speaker 1: It was, Yes, it was like swimming on a fucking

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Speaker 1: like inside a washing machine. It was just like could

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Speaker 1: not I could. You can't stop and float on your back.

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Speaker 1: In case anybody's like thinking about trying this, you can't

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Speaker 1: stop and float on your back because you're just gonna

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Speaker 1: get like flipped over by a wave. I did. Yeah.

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Speaker 1: It was so it was so scary. It was so

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Speaker 1: much worse than I could have possibly imagined.

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Speaker 2: This is really just like that bro thinking you know

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Speaker 2: that like exactly men have where like if we if

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Speaker 2: we like, there's like this idea like.

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Speaker 1: I could handle a lot.

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Speaker 3: Yeah, sure in your mind you can, But does that

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Speaker 3: relate to like the skills of swimming in open water?

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Speaker 3: Like it makes me think of this thing that always

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Speaker 3: comes up as like how half of men, like in

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Speaker 3: a survey, believe they can land a plane without any training,

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Speaker 3: you know what I mean, Like, just give me the headphones,

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Speaker 3: tell me what flips to flap, and we're bringing this

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Speaker 3: thing fucking home. And it's like so similar where I'm like, well,

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Speaker 3: you know, like when I hear that, I'm.

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Speaker 2: Like, he's how arrogant do you have to be? But

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Speaker 2: then I'm like, but how dumb are these dudes? Though?

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Speaker 2: For real?

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Speaker 3: Like yeah, I feel like with proper instruction at the

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Speaker 3: very least, like the experts are like, no, dude, no

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Speaker 3: you will not.

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Speaker 1: I was watching Castaway being like, why doesn't he just

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Speaker 1: swim out through the waves. I don't get it. Anyways,

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Speaker 1: they had people out there in case some dip chit

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Speaker 1: got the idea he could do this just because he

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Speaker 1: could swim laps in a pool immediately like just got

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Speaker 1: to the start of the course, waved him down, held

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Speaker 1: onto his board and then went back in and good

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Speaker 1: for you. It was completely humiliated by the sea. Yeah,

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Speaker 1: but humbled, humbled the sea. Yes, yes, exactly. It is.

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Speaker 2: The season of humility, the season of humility.

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Speaker 1: I am in my season of humility aka your forties.

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Speaker 3: Am I right, folks, Miles thirty nine, I'm about to

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Speaker 3: go hit the Pacific Ocean right now, Jack to so

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Speaker 3: you you should be fine, You should be fine.

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Speaker 2: Yeah, he's right, my oh bit yeah, like and make

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Speaker 2: it funny, Okay, what are you doing? Overrated?

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Speaker 1: Over rated?

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Speaker 3: So in watching the Olympics and someone who competed at

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Speaker 3: the lowest levels in high school track and field, I

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Speaker 3: you know, I have a bit of insight into watching

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Speaker 3: some of these athletes when they get on the starting

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Speaker 3: line or prepare to do a throw or a jump attempt,

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Speaker 3: I think acting like again, not acting, but the visuals

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Speaker 3: of being like so in the zone, like you have

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Speaker 3: an angry face. I think is a little bit overrated.

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Speaker 3: And I only say that because I juxtaposed that with

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Speaker 3: the Australian high jumper Nicolo Olaslauger, who again I believe

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Speaker 3: your Her approach style.

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Speaker 1: Is very She takes a series of boyings before doing

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Speaker 1: the big boying over the high jump bar. Yeah, and

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Speaker 1: she is laughing. She is having a fucking.

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Speaker 3: Large She is loving every fucking second of it, which

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Speaker 3: is actually I think really that's where I was like,

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Speaker 3: this is so wild. Like she gets up to there

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Speaker 3: like for her approach, she starts like clapping and people

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Speaker 3: are like all right, yeah, yeah, like like and she

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Speaker 3: starts like going really like her like lights up, and

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Speaker 3: then I caught I think she was saying something like

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Speaker 3: I love you Jesus.

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Speaker 2: So then I started to look into her earth huge

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Speaker 2: evangelical Christian. You're not gonna take that away from her.

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Speaker 3: She's on that good g that good j I'm sorry

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00:16:04,200 --> 00:16:07,720
Speaker 3: yeah yeah. And anyway, so she takes her attempts and

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Speaker 3: then afterwards she immediately sits down to write in a journal.

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Speaker 2: Yeah, and everyone was like, yo, what she's journaling.

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Speaker 3: She's like this got this like happy horse girl energy,

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Speaker 3: And apparently I was like reading into it.

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00:16:20,760 --> 00:16:25,280
Speaker 2: She like she writes down kind of like what her like.

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Speaker 3: She rates herself on the attempt like one to ten,

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Speaker 3: like it's purely like a self assessment and then she'll

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Speaker 3: note like, Okay, what can be improved into the next

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00:16:32,760 --> 00:16:37,960
Speaker 3: attempt or whatever. She did not beat Yaroslava Mahuchik, who

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Speaker 3: is like the fucking the goat right now, but also

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00:16:41,880 --> 00:16:44,120
Speaker 3: like had an interesting Yeah, she also had a really

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Speaker 3: interesting like not interesting. She always like got in a

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00:16:46,440 --> 00:16:48,160
Speaker 3: sleeping bag after each attempt.

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Speaker 2: Yes, I think just like to kind.

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Speaker 3: Of keep her legs warm, which I get it was

302
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Speaker 3: like raining the night before in pairs, But it was

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Speaker 3: just like it was interesting to see someone truly embrace

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Speaker 3: like the smiling, the happy, the positive as a way

305
00:17:01,720 --> 00:17:05,960
Speaker 3: to inspire your most intense athletic effort, because I think

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00:17:06,000 --> 00:17:11,600
Speaker 3: we all revert to like ye like and as someone

307
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Speaker 3: who's like really interested in the field of like positive

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00:17:13,600 --> 00:17:16,679
Speaker 3: psychology and this like kind of you know how we

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Speaker 3: think of our minds, Like we always talk about the

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00:17:18,480 --> 00:17:21,359
Speaker 3: deficiencies that we can always identify, but like where are

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Speaker 3: the margins to help out like on the other side

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Speaker 3: of that, like the positive. So yeah, it was just

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Speaker 3: cool to see old prancy smiley and like really do well.

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Speaker 1: Yeah.

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Speaker 3: Like it wasn't like a bit where I was like,

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Speaker 3: all right, you're just fucking gassing yourself up and I'm.

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Speaker 1: Like, oh shit, okay, she cleared too, literally jumping for joy. Yeah,

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Speaker 1: she looks like what I would be like if I

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Speaker 1: suddenly had the ability to jump like that.

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Speaker 2: Oh yeah yeah, if I clear two meters.

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Speaker 1: Yeah yeah. If I like suddenly like found myself in

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Speaker 1: a body where I could just like fucking fly, I

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Speaker 1: would be like, oh my god, because.

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Speaker 3: When you watch, like I did hi jump in high school, Yeah,

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Speaker 3: and I just there is I just was not like

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Speaker 3: I was too inflexible to do it really well. Oh

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Speaker 3: like there the approach I had the yeah yeah yeah,

328
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Speaker 3: but like watching like the artistry of really just getting

329
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Speaker 3: over that bar, it's it's poetry.

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Speaker 1: It's poetry, true poetry emotion.

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Speaker 2: Yeah.

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Speaker 1: My overrated is how much people want to see my

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00:18:24,800 --> 00:18:29,240
Speaker 1: phone number at CVS, Like they do the thing where

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00:18:29,280 --> 00:18:32,399
Speaker 1: the keypad, Like when I'm putting my phone number into

335
00:18:32,440 --> 00:18:35,200
Speaker 1: the thing at the end to like look look up,

336
00:18:35,440 --> 00:18:38,159
Speaker 1: it's like totally shielded and when you type in the

337
00:18:38,240 --> 00:18:42,000
Speaker 1: numbers they appear as asterisks. Wow, which I don't know

338
00:18:42,320 --> 00:18:44,560
Speaker 1: is anybody trying to like look over my shoulder to

339
00:18:44,640 --> 00:18:48,640
Speaker 1: find out? Like it it feels like how ATMs should

340
00:18:48,680 --> 00:18:52,119
Speaker 1: look like they have it like all boxed in. But

341
00:18:52,400 --> 00:18:56,639
Speaker 1: it's to like hide your phone number so that people

342
00:18:56,680 --> 00:19:02,360
Speaker 1: don't steal your identity and get more rewards points for you.

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00:19:02,520 --> 00:19:04,000
Speaker 2: Yeah, I don't know.

344
00:19:03,920 --> 00:19:06,760
Speaker 1: Why we're being so secretive about that.

345
00:19:07,600 --> 00:19:09,840
Speaker 2: I mean, I yeah, is it? Is that a huge

346
00:19:09,920 --> 00:19:11,320
Speaker 2: vulner Like do I need to.

347
00:19:11,280 --> 00:19:14,280
Speaker 3: Start checking my shoulder when I punch in my CVS

348
00:19:14,280 --> 00:19:15,560
Speaker 3: care rewards I give?

349
00:19:15,920 --> 00:19:19,320
Speaker 1: I give so many people my phone number, like you know,

350
00:19:21,119 --> 00:19:23,920
Speaker 1: a T shirt or just just like just call me please,

351
00:19:23,960 --> 00:19:25,040
Speaker 1: I'm so lonely.

352
00:19:25,000 --> 00:19:27,720
Speaker 2: Call me not maybe call me now please?

353
00:19:28,160 --> 00:19:28,720
Speaker 1: I need it.

354
00:19:29,160 --> 00:19:32,119
Speaker 3: Yeah that's odd. Yeah, now look zi gang do you know?

355
00:19:32,320 --> 00:19:34,640
Speaker 3: Is like are we is that good?

356
00:19:34,880 --> 00:19:36,600
Speaker 2: I'm sure reason.

357
00:19:36,400 --> 00:19:39,359
Speaker 1: This makes sense, but I don't want to hear it.

358
00:19:39,520 --> 00:19:39,760
Speaker 1: You know.

359
00:19:40,119 --> 00:19:42,320
Speaker 3: Well, it's also because like in other places, like you

360
00:19:42,400 --> 00:19:44,159
Speaker 3: go and you'll buy something in a place and like

361
00:19:44,200 --> 00:19:46,520
Speaker 3: the display is so big that everybody can be like,

362
00:19:46,520 --> 00:19:47,560
Speaker 3: what's your credit card number?

363
00:19:47,880 --> 00:19:48,520
Speaker 1: What's that now?

364
00:19:48,920 --> 00:19:49,760
Speaker 2: Yeah?

365
00:19:49,800 --> 00:19:52,280
Speaker 1: Yeah, there definitely plays it Like on a plane if

366
00:19:52,320 --> 00:19:54,600
Speaker 1: you try and buy something with your credit card and

367
00:19:54,640 --> 00:19:57,400
Speaker 1: they're like, okay, read off the number to me. You're

368
00:19:57,440 --> 00:19:58,440
Speaker 1: like with a bunch of.

369
00:19:58,400 --> 00:20:02,800
Speaker 2: People doing the list song, let me whisper here.

370
00:20:05,280 --> 00:20:09,359
Speaker 3: Four one four three two three two one.

371
00:20:10,359 --> 00:20:12,639
Speaker 1: All right, let's uh, let's take a quick break and

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00:20:13,000 --> 00:20:14,000
Speaker 1: we'll be right back.

373
00:20:24,440 --> 00:20:25,400
Speaker 2: And we're back.

374
00:20:26,480 --> 00:20:32,320
Speaker 1: And I just wanted to recognize, uh, the social media

375
00:20:32,359 --> 00:20:38,720
Speaker 1: hero of the weekend, Anthony Amuradi, who missed making it

376
00:20:38,880 --> 00:20:44,280
Speaker 1: to the pole Vault finals after getting caught on his

377
00:20:44,400 --> 00:20:49,600
Speaker 1: dick on the way over the bar. It's like a

378
00:20:49,640 --> 00:20:54,320
Speaker 1: lot of rest and peace to his electric It was,

379
00:20:54,480 --> 00:20:57,600
Speaker 1: I don't know, like so it was, first of all

380
00:20:57,920 --> 00:20:59,159
Speaker 1: a successful.

381
00:20:59,040 --> 00:21:00,000
Speaker 2: You look at this fruit.

382
00:21:01,520 --> 00:21:03,880
Speaker 1: I don't know, I got some not totally.

383
00:21:04,000 --> 00:21:06,280
Speaker 2: The penis that disqualified.

384
00:21:05,600 --> 00:21:09,879
Speaker 1: Him, apparently it wasn't okay when you look into it,

385
00:21:09,960 --> 00:21:12,359
Speaker 1: they're like he actually hit it with his shins and

386
00:21:12,480 --> 00:21:16,120
Speaker 1: his near as. First, the internet was immediately like, this

387
00:21:16,160 --> 00:21:20,080
Speaker 1: guy missed gold by like the girth of his dick.

388
00:21:20,560 --> 00:21:23,680
Speaker 1: And that was not incorrect. That was incorrect.

389
00:21:23,920 --> 00:21:28,320
Speaker 3: Uh, it's yeah, that was not right. The Internet was

390
00:21:28,359 --> 00:21:29,280
Speaker 3: not right about this one.

391
00:21:29,760 --> 00:21:33,879
Speaker 1: Yes, but the sprawing on his dick was on full

392
00:21:33,960 --> 00:21:37,920
Speaker 1: display in a way that must have been like some

393
00:21:38,000 --> 00:21:39,080
Speaker 1: consolation to him.

394
00:21:39,200 --> 00:21:42,920
Speaker 3: Right, I'm I'm sure his mentions are healthy, his d

395
00:21:43,080 --> 00:21:44,040
Speaker 3: ms are healthy.

396
00:21:44,200 --> 00:21:44,640
Speaker 1: Yeah.

397
00:21:44,680 --> 00:21:47,080
Speaker 2: I think there was like an underwear company to where

398
00:21:47,080 --> 00:21:51,440
Speaker 2: they're like, we want to sponsor this guy because what

399
00:21:51,520 --> 00:21:54,439
Speaker 2: he got the gold medal in meat packet? What is

400
00:21:54,600 --> 00:21:57,600
Speaker 2: happening here? But yeah, this was definitely like one of

401
00:21:57,600 --> 00:21:58,080
Speaker 2: the I love that.

402
00:21:58,280 --> 00:22:00,639
Speaker 3: Just again, the internet is like, yeah, man, the guy's

403
00:22:00,680 --> 00:22:02,040
Speaker 3: dick was I remember being.

404
00:22:01,960 --> 00:22:04,399
Speaker 2: Like a guy's dick was too big that he lost

405
00:22:04,560 --> 00:22:05,320
Speaker 2: in the Olympics.

406
00:22:05,400 --> 00:22:07,399
Speaker 3: Yeah, and then like I watched him, like oh no,

407
00:22:07,520 --> 00:22:09,760
Speaker 3: this guy just this was way too high for him.

408
00:22:09,800 --> 00:22:11,600
Speaker 2: Completely, there's no way he could have done it.

409
00:22:11,640 --> 00:22:14,600
Speaker 3: But again, like you're saying because it was so graphically

410
00:22:14,960 --> 00:22:16,800
Speaker 3: splongy spling.

411
00:22:16,520 --> 00:22:19,280
Speaker 2: Yeah on the bar, Yeah it it.

412
00:22:19,600 --> 00:22:21,680
Speaker 3: And look we're shooting in like one hundred and twenty

413
00:22:21,680 --> 00:22:23,120
Speaker 3: frame per second slow motion.

414
00:22:23,880 --> 00:22:24,120
Speaker 4: Right.

415
00:22:24,520 --> 00:22:27,919
Speaker 2: Yeah, maybe they're not going to replay that one in

416
00:22:27,960 --> 00:22:30,600
Speaker 2: the elementary schools on Monday, But yeah.

417
00:22:30,320 --> 00:22:34,240
Speaker 1: I do wonder if this becomes because he got so

418
00:22:34,320 --> 00:22:37,280
Speaker 1: much attention and like I'm assuming we'll get some sort

419
00:22:37,320 --> 00:22:41,480
Speaker 1: of you know, sponsorship out of it. I do wonder

420
00:22:41,560 --> 00:22:44,679
Speaker 1: if this becomes a thing that people try to do,

421
00:22:45,359 --> 00:22:48,880
Speaker 1: like if you hit your knee on the thing, like okay,

422
00:22:48,920 --> 00:22:51,399
Speaker 1: and now I need to like get my dick on

423
00:22:51,480 --> 00:22:54,560
Speaker 1: there so that I you know, so that it looks

424
00:22:54,680 --> 00:23:00,560
Speaker 1: like it was a dick based fault and not a yeah, yeah, yeah,

425
00:23:00,760 --> 00:23:03,200
Speaker 1: I don't know. Overall, it can go so much worse.

426
00:23:03,240 --> 00:23:06,520
Speaker 1: There was another pole vaulter. Did you see this one?

427
00:23:06,920 --> 00:23:08,800
Speaker 2: Yes, I already know.

428
00:23:09,520 --> 00:23:12,880
Speaker 1: It looked exactly like, well what I imagine would happen

429
00:23:12,920 --> 00:23:14,959
Speaker 1: if I tried to do it again, I probably wouldn't

430
00:23:15,000 --> 00:23:17,760
Speaker 1: even get to this point. But he like got up

431
00:23:18,160 --> 00:23:20,680
Speaker 1: so that the pole was straight, but like it didn't

432
00:23:20,960 --> 00:23:23,280
Speaker 1: get all the way there. He was just like stuck

433
00:23:23,400 --> 00:23:27,840
Speaker 1: and then just fucking backwards shipped backwards onto the ground.

434
00:23:28,280 --> 00:23:31,119
Speaker 3: Yeah, it looked like a like a like a like

435
00:23:31,160 --> 00:23:34,040
Speaker 3: a Looney Tunes type cartoon where it's like the like

436
00:23:34,200 --> 00:23:36,879
Speaker 3: Wiley coyote thinks he can like pull voll overthing and

437
00:23:36,920 --> 00:23:39,600
Speaker 3: he gets right to like the apex like in an

438
00:23:39,640 --> 00:23:42,119
Speaker 3: angular way, and it's like yeah, and then a like

439
00:23:42,160 --> 00:23:43,840
Speaker 3: a light breeze like no no.

440
00:23:43,840 --> 00:23:44,479
Speaker 2: No no no no no.

441
00:23:46,920 --> 00:23:49,160
Speaker 1: In the movie version, he's going no no no no

442
00:23:49,160 --> 00:23:50,280
Speaker 1: no no no no no no.

443
00:23:52,840 --> 00:23:55,080
Speaker 3: But yeah, I'm trying to see if that Amaradi guy

444
00:23:55,119 --> 00:23:57,640
Speaker 3: he did not. He hasn't really made a comment.

445
00:23:59,720 --> 00:24:01,560
Speaker 1: Yeah, he doesn't need to, you know.

446
00:24:01,640 --> 00:24:03,840
Speaker 3: There's this is like it's so funny people are pointing

447
00:24:03,840 --> 00:24:09,560
Speaker 3: out that a Japanese pole vaulter also got dilly whacked

448
00:24:10,040 --> 00:24:11,040
Speaker 3: in the Olympics.

449
00:24:11,600 --> 00:24:14,240
Speaker 2: Oh this is it's like it's like set off a

450
00:24:14,240 --> 00:24:15,240
Speaker 2: bunch of listicals.

451
00:24:15,280 --> 00:24:19,639
Speaker 3: Now they're like times people's junk interfered with the Olympics.

452
00:24:21,480 --> 00:24:24,520
Speaker 2: Okay, just fucking go do that somewhere else.

453
00:24:25,400 --> 00:24:29,000
Speaker 1: It's gotta be like a thing that they specifically talk about, right,

454
00:24:29,240 --> 00:24:33,680
Speaker 1: Like they have to just like the coaching has to

455
00:24:33,720 --> 00:24:37,000
Speaker 1: take that into account and be like, yo, like we

456
00:24:37,119 --> 00:24:39,760
Speaker 1: talked about getting your dick out of the way, Yeah,

457
00:24:39,920 --> 00:24:41,520
Speaker 1: this is what do you do? This is one of

458
00:24:41,560 --> 00:24:42,720
Speaker 1: your major problems.

459
00:24:42,800 --> 00:24:46,440
Speaker 3: Yeah, but again it's it's never something where it was

460
00:24:46,480 --> 00:24:51,680
Speaker 3: truly like by the by the just girth of his genitals,

461
00:24:51,840 --> 00:24:53,919
Speaker 3: that was the difference between a metal or not.

462
00:24:54,280 --> 00:24:57,840
Speaker 1: Certainly looked that way. Apparently not all right. There was

463
00:24:57,880 --> 00:25:02,040
Speaker 1: a story over the weekend that at dumb Phones or

464
00:25:02,240 --> 00:25:06,920
Speaker 1: you know, old Nokia bricks are their sales are shooting

465
00:25:07,000 --> 00:25:12,520
Speaker 1: up and the top like private school, which they call

466
00:25:12,560 --> 00:25:17,440
Speaker 1: public school because apparently, like when they started calling it that,

467
00:25:18,359 --> 00:25:22,680
Speaker 1: the like public school was what you did if you

468
00:25:22,720 --> 00:25:26,439
Speaker 1: weren't rich. Enough to like have a personal tutor. So anyway,

469
00:25:26,440 --> 00:25:30,040
Speaker 1: it's like the number one boarding school in England is

470
00:25:30,200 --> 00:25:36,000
Speaker 1: Eaten and they are banning smartphones for their incoming class

471
00:25:36,160 --> 00:25:39,960
Speaker 1: of first years and giving them all Nokia bricks instead,

472
00:25:41,240 --> 00:25:45,919
Speaker 1: which I feel like that will be pretty influential. Like

473
00:25:46,000 --> 00:25:49,119
Speaker 1: that's the way to get something started with parents, you know,

474
00:25:49,480 --> 00:25:54,200
Speaker 1: is like this top school in England is doing it.

475
00:25:54,320 --> 00:25:57,720
Speaker 3: Well they're doing it, then maybe our kids shouldn't have

476
00:25:57,760 --> 00:26:01,000
Speaker 3: a thirteen inch iPad in there.

477
00:26:01,680 --> 00:26:01,880
Speaker 2: Yeah.

478
00:26:02,040 --> 00:26:04,760
Speaker 3: Oh yeah, the Brian the editor T nine baby, the

479
00:26:04,840 --> 00:26:07,800
Speaker 3: T nine typing. I was sick with the T nine typing.

480
00:26:09,119 --> 00:26:11,960
Speaker 3: But yeah, I think that's that makes sense.

481
00:26:13,000 --> 00:26:14,399
Speaker 2: Like that was my secret.

482
00:26:14,480 --> 00:26:16,920
Speaker 3: The reason I'm so smart is because when I entered

483
00:26:17,000 --> 00:26:18,760
Speaker 3: high school I had a pager.

484
00:26:19,520 --> 00:26:22,720
Speaker 2: Yeah, okay, I was distracted.

485
00:26:22,760 --> 00:26:25,960
Speaker 3: I was playing Drug Wars or Mafia on my t

486
00:26:26,119 --> 00:26:28,480
Speaker 3: I eighty two TI eighty two.

487
00:26:28,640 --> 00:26:31,359
Speaker 2: Did you hear that? T I eighty two, not eighty three,

488
00:26:31,520 --> 00:26:33,480
Speaker 2: not eighty four, eighty two.

489
00:26:34,560 --> 00:26:37,600
Speaker 3: That's I've dated myself. Those are the games we played.

490
00:26:37,680 --> 00:26:38,520
Speaker 3: That's like all you did.

491
00:26:38,680 --> 00:26:41,640
Speaker 1: I read some articles with people who are like I

492
00:26:41,680 --> 00:26:45,399
Speaker 1: tried to do like using Nokia for a week and

493
00:26:45,440 --> 00:26:49,919
Speaker 1: here's my report, and the texting is really what seems

494
00:26:49,960 --> 00:26:52,879
Speaker 1: to fuck people up is you know, oh yeah.

495
00:26:52,760 --> 00:26:57,240
Speaker 3: I remember trying like ABC, like I remember like just running.

496
00:26:57,440 --> 00:26:59,919
Speaker 3: That's how I typed in my head. But that's what

497
00:27:00,160 --> 00:27:02,560
Speaker 3: was great about ten nine. Anyway, that's a whole other

498
00:27:02,640 --> 00:27:05,919
Speaker 3: thing that was mostly on Sony Erickson phones at the time.

499
00:27:07,240 --> 00:27:09,280
Speaker 3: But that's my that's my cell phone nerd credit.

500
00:27:09,359 --> 00:27:09,439
Speaker 4: Right.

501
00:27:09,720 --> 00:27:11,680
Speaker 1: My prediction is this is going to be like more

502
00:27:11,680 --> 00:27:15,399
Speaker 1: and more of a thing like that. It's like that

503
00:27:15,960 --> 00:27:18,240
Speaker 1: a big school like this doing it is going to

504
00:27:18,280 --> 00:27:20,800
Speaker 1: be influential with like a certain type of parent and

505
00:27:20,880 --> 00:27:23,800
Speaker 1: also it just like as a parent who like doesn't

506
00:27:23,880 --> 00:27:28,440
Speaker 1: want their kid to get addicted to fucking screens like right,

507
00:27:28,760 --> 00:27:31,560
Speaker 1: that it makes a lot of sense to me.

508
00:27:32,040 --> 00:27:36,439
Speaker 3: The closest is my niece got like an Apple like whatever,

509
00:27:36,480 --> 00:27:40,400
Speaker 3: the lowest tier Apple watches just to be like, well, look,

510
00:27:40,440 --> 00:27:43,040
Speaker 3: if we need to hit you up, like we get

511
00:27:43,080 --> 00:27:44,760
Speaker 3: to you, and if you need to hit us up,

512
00:27:44,920 --> 00:27:46,920
Speaker 3: you can get to us. But like you're not able

513
00:27:46,960 --> 00:27:50,320
Speaker 3: to do much else with an Apple Watch. That feels

514
00:27:50,320 --> 00:27:52,920
Speaker 3: like the that feels like the pager was like how

515
00:27:53,080 --> 00:27:55,840
Speaker 3: I think kids in the nineties were like how about

516
00:27:55,840 --> 00:27:57,760
Speaker 3: a pager so when you need to.

517
00:27:57,720 --> 00:28:00,720
Speaker 2: Come home, you have a little being on your.

518
00:28:00,600 --> 00:28:03,320
Speaker 3: Belt buckle or whatever, on your fucking pocket or on

519
00:28:03,359 --> 00:28:05,240
Speaker 3: your hat like I would wear it sometimes.

520
00:28:05,480 --> 00:28:07,400
Speaker 2: Yeah, you had to get access.

521
00:28:07,440 --> 00:28:09,959
Speaker 3: But yeah, I think we're also like at peak technology

522
00:28:10,040 --> 00:28:12,119
Speaker 3: like that, you know, like where there's a ton of

523
00:28:12,160 --> 00:28:14,959
Speaker 3: people who are like, I'm actually overwhelmed with the amount

524
00:28:14,960 --> 00:28:16,040
Speaker 3: of shit the phone.

525
00:28:15,840 --> 00:28:18,480
Speaker 1: Does, and yeah, it's time to take a step back.

526
00:28:19,320 --> 00:28:21,480
Speaker 2: Sure, yeah, and it feels.

527
00:28:21,240 --> 00:28:24,440
Speaker 1: Like it's probably healthy. Like I've just seen too many kids,

528
00:28:24,480 --> 00:28:27,679
Speaker 1: like you know, just hunched over their phones like with

529
00:28:27,960 --> 00:28:30,840
Speaker 1: you know, with their family and just like completely in

530
00:28:30,920 --> 00:28:34,239
Speaker 1: their own world like slack jaw, looking like they've like

531
00:28:34,320 --> 00:28:37,240
Speaker 1: been their brain has been taken offline. You know.

532
00:28:37,359 --> 00:28:39,680
Speaker 2: Sure, even we do it.

533
00:28:39,880 --> 00:28:41,440
Speaker 3: Like that's the other thing too, I'm like thinking of

534
00:28:41,480 --> 00:28:44,719
Speaker 3: what I'm modeling to like my kid. Yeah, when he's like, oh,

535
00:28:44,760 --> 00:28:46,440
Speaker 3: this motherfucker's on his phone again, I'm.

536
00:28:46,280 --> 00:28:48,320
Speaker 2: Like, oh shit, no, I'm not. Hey, I'm engaged.

537
00:28:48,360 --> 00:28:51,520
Speaker 3: Man, here tell me that tell me that ball there

538
00:28:51,560 --> 00:28:53,840
Speaker 3: like low key like looking at it to catch.

539
00:28:54,400 --> 00:28:56,120
Speaker 2: Yeah, yeah, exactly, just get But I'm.

540
00:28:56,000 --> 00:28:58,360
Speaker 1: Smacked in the face with the ball every time because.

541
00:28:58,640 --> 00:29:04,400
Speaker 2: Look, it up yours, that's me. I should have looked up.

542
00:29:04,440 --> 00:29:05,320
Speaker 2: I should have looked up.

543
00:29:05,760 --> 00:29:11,080
Speaker 1: Yeah. Yeah, another place that going backwards, We're staying with

544
00:29:11,120 --> 00:29:14,720
Speaker 1: some friends who have a like old school. It was

545
00:29:14,760 --> 00:29:18,880
Speaker 1: like a pac Man video game that but it has

546
00:29:19,040 --> 00:29:22,840
Speaker 1: like all the all the old games. So it had

547
00:29:22,920 --> 00:29:28,080
Speaker 1: like nineteen forty three and like Sureva and yeah yeah,

548
00:29:28,120 --> 00:29:32,240
Speaker 1: all those different games. And I felt weirdly okay about

549
00:29:32,280 --> 00:29:34,560
Speaker 1: letting my eight year old just like fuck with that

550
00:29:35,160 --> 00:29:38,520
Speaker 1: for you know, an hour at a time, because obviously

551
00:29:38,520 --> 00:29:41,400
Speaker 1: he was even if he got addicted to it, he's

552
00:29:41,440 --> 00:29:44,160
Speaker 1: not taking it with us. And also I just feel

553
00:29:44,200 --> 00:29:47,440
Speaker 1: like they didn't they didn't have the brain chemicals like

554
00:29:47,560 --> 00:29:50,200
Speaker 1: locked in enough to the point that, you know, the

555
00:29:50,200 --> 00:29:53,440
Speaker 1: way they do now where they're like every sound, every

556
00:29:53,520 --> 00:29:58,960
Speaker 1: color has been perfectly engineered to release forty five percent

557
00:29:59,080 --> 00:30:00,680
Speaker 1: more dopamine your child.

558
00:30:01,160 --> 00:30:04,720
Speaker 2: No, you get eight bit digital fun. Yeah we're not

559
00:30:04,760 --> 00:30:08,120
Speaker 2: going up to sixteen bits, no, but at eight and

560
00:30:08,240 --> 00:30:09,600
Speaker 2: play with those pixels.

561
00:30:09,920 --> 00:30:12,200
Speaker 1: Can get used to playing Snake on his Nokia.

562
00:30:13,120 --> 00:30:14,800
Speaker 2: Yeah yeah, all.

563
00:30:14,760 --> 00:30:17,800
Speaker 1: Right, let's take one more quick break and we'll come

564
00:30:17,840 --> 00:30:23,400
Speaker 1: back and talk about Trump's increasingly detailed plans to overthrow

565
00:30:23,440 --> 00:30:27,920
Speaker 1: the election and other crazy shit. We'll be right back

566
00:30:37,800 --> 00:30:41,920
Speaker 1: and we're back. We're back, and we're back, and we

567
00:30:41,960 --> 00:30:48,320
Speaker 1: are back. So Trump had a rally in Atlanta, which,

568
00:30:49,000 --> 00:30:52,560
Speaker 1: among other things, one of one of the things that

569
00:30:52,680 --> 00:30:56,200
Speaker 1: he did in that speech that kind of carried on

570
00:30:56,240 --> 00:30:58,120
Speaker 1: a story that we've been paying attention to on the

571
00:30:58,160 --> 00:31:05,680
Speaker 1: show is he called out specific election officials who are

572
00:31:05,920 --> 00:31:09,880
Speaker 1: like part of the Georgia State Election Board and was like,

573
00:31:10,120 --> 00:31:15,000
Speaker 1: we've so apparently this board is now three for five

574
00:31:15,560 --> 00:31:18,640
Speaker 1: mega people, and these are people who are involved in

575
00:31:18,680 --> 00:31:24,520
Speaker 1: the certification of the election. And it feels like increasingly

576
00:31:25,480 --> 00:31:28,440
Speaker 1: it seems pretty clear at this point that this is

577
00:31:28,520 --> 00:31:30,560
Speaker 1: the this is their ace in the hole that they

578
00:31:30,880 --> 00:31:33,200
Speaker 1: seem to think they have and keep like kind of

579
00:31:33,560 --> 00:31:35,480
Speaker 1: obliquely referencing.

580
00:31:35,480 --> 00:31:37,720
Speaker 2: Mass certification refusals. Yeah.

581
00:31:37,840 --> 00:31:41,920
Speaker 1: Yeah, basically every place that he every state that he

582
00:31:41,960 --> 00:31:45,520
Speaker 1: doesn't win, they are going to claim voter fraud and

583
00:31:45,640 --> 00:31:50,040
Speaker 1: put it in the courts where you know, they They've

584
00:31:50,080 --> 00:31:54,760
Speaker 1: had some victories as of late that people have been

585
00:31:55,000 --> 00:31:58,040
Speaker 1: surprised by, and maybe it's time to stop being surprised

586
00:31:58,080 --> 00:32:02,440
Speaker 1: by it. But yeah, this Rolling Stone article, so Donald

587
00:32:02,440 --> 00:32:06,000
Speaker 1: Trump boasted about MAGA supporters taking over Georgia's state election

588
00:32:06,120 --> 00:32:10,040
Speaker 1: board part of his team's efforts to corrupt future elections.

589
00:32:10,320 --> 00:32:12,560
Speaker 1: I don't know if you've heard, but the Georgia State

590
00:32:12,560 --> 00:32:15,240
Speaker 1: Election Board is in a very positive way. They're on fire.

591
00:32:15,280 --> 00:32:18,720
Speaker 1: They're doing a great job, Trump said at the rally,

592
00:32:19,080 --> 00:32:21,360
Speaker 1: and then he went on to actually name the three

593
00:32:21,640 --> 00:32:27,280
Speaker 1: Maga Republicans that are dominating the five person board, which

594
00:32:27,320 --> 00:32:29,440
Speaker 1: is I don't know, and he was like, they're pit

595
00:32:29,480 --> 00:32:32,560
Speaker 1: bulls fighting for honesty, transparency, and victory.

596
00:32:33,120 --> 00:32:35,320
Speaker 2: Oh I love it. I love a pit bull who

597
00:32:35,360 --> 00:32:37,680
Speaker 2: was on the right side of things. Good, good, good,

598
00:32:37,760 --> 00:32:39,160
Speaker 2: good good people.

599
00:32:39,080 --> 00:32:41,880
Speaker 1: Who are described as pit bulls are always good and

600
00:32:42,000 --> 00:32:44,840
Speaker 1: circumspect and have justice in mind.

601
00:32:45,000 --> 00:32:47,959
Speaker 3: It seems like, yeah, I think again, this is just

602
00:32:48,000 --> 00:32:49,800
Speaker 3: like we were talking about, I think last week or

603
00:32:49,840 --> 00:32:53,560
Speaker 3: the week before, and another Rolling Stone report of just

604
00:32:53,600 --> 00:32:59,920
Speaker 3: about the increasing nature of these like just fucking freaks,

605
00:33:00,480 --> 00:33:05,600
Speaker 3: like I said, who've been huffing election interference disinformation for years,

606
00:33:06,200 --> 00:33:10,760
Speaker 3: who are essentially in these very very sensitive positions that

607
00:33:11,000 --> 00:33:14,360
Speaker 3: at the very least will delay the certification of the election,

608
00:33:15,320 --> 00:33:17,160
Speaker 3: like a lot of people like legally they have no

609
00:33:17,280 --> 00:33:19,280
Speaker 3: standing to be able to be like no, because it's

610
00:33:19,360 --> 00:33:22,200
Speaker 3: more of like a sarahmon like you're like, and I say,

611
00:33:22,400 --> 00:33:23,720
Speaker 3: it is now certified.

612
00:33:23,760 --> 00:33:24,680
Speaker 2: You're not there to be.

613
00:33:24,520 --> 00:33:27,640
Speaker 3: Like no, these are rendered useless, which is what they're

614
00:33:27,640 --> 00:33:31,080
Speaker 3: trying to do in these positions. But yeah, it is

615
00:33:31,640 --> 00:33:35,360
Speaker 3: that again when you're someone like Donald Trump whose entire

616
00:33:35,480 --> 00:33:38,920
Speaker 3: existence is on the line if you don't win, I

617
00:33:39,080 --> 00:33:42,480
Speaker 3: only I only expect some of the most underhanded shit

618
00:33:42,600 --> 00:33:45,520
Speaker 3: to be happening, like even you know, him attacking other

619
00:33:45,560 --> 00:33:47,520
Speaker 3: Republicans like he was doing it Georgia.

620
00:33:47,640 --> 00:33:51,080
Speaker 1: Yeah, so he's like he went after Brian Kemp, Like

621
00:33:51,080 --> 00:33:55,360
Speaker 1: Brian Kemp is you know, by all political logic, somebody

622
00:33:55,400 --> 00:33:58,880
Speaker 1: that he would want to be bringing closer as he's

623
00:33:58,920 --> 00:34:02,800
Speaker 1: in Georgia, a state that he's worried about winning. Brian

624
00:34:02,880 --> 00:34:08,160
Speaker 1: Kemp is like hugely popular, the hugely popular governor of Georgia.

625
00:34:08,640 --> 00:34:12,239
Speaker 1: And he just called him a bad guy, a disloyal guy,

626
00:34:12,560 --> 00:34:16,120
Speaker 1: and a very average governor, Governor Little Brian, and then

627
00:34:16,160 --> 00:34:20,360
Speaker 1: also started talking like it's not it's so transparent what

628
00:34:20,400 --> 00:34:23,400
Speaker 1: he's doing. He also like was talking shit about Brad Raffensberger,

629
00:34:23,600 --> 00:34:25,480
Speaker 1: who was the guy on the other end of the

630
00:34:25,520 --> 00:34:30,320
Speaker 1: phone when Trump demanded that they find eleven seven hundred

631
00:34:30,320 --> 00:34:33,960
Speaker 1: and eighty votes and who like wouldn't wouldn't do him

632
00:34:34,000 --> 00:34:34,680
Speaker 1: that favor.

633
00:34:35,200 --> 00:34:37,520
Speaker 3: Yeah, yeah, and now he knows, He's like, well, the

634
00:34:37,520 --> 00:34:39,360
Speaker 3: problem was those guys won't do me favor. So now

635
00:34:39,440 --> 00:34:41,719
Speaker 3: the people that I need the favor from have to

636
00:34:41,760 --> 00:34:44,279
Speaker 3: be people that I know will do my favor, and

637
00:34:44,360 --> 00:34:46,840
Speaker 3: he can't be independent. And I wonder if you know,

638
00:34:46,920 --> 00:34:51,000
Speaker 3: like I mean, I think, yeah, Kemp is definitely popular

639
00:34:51,000 --> 00:34:52,240
Speaker 3: with like Republicans.

640
00:34:52,360 --> 00:34:55,080
Speaker 2: Otherwise you know, it's he up your down.

641
00:34:55,120 --> 00:34:57,960
Speaker 3: But I think I wonder though, too, if some of

642
00:34:58,000 --> 00:35:01,840
Speaker 3: these Republican governors they know that if they really are trying,

643
00:35:01,960 --> 00:35:05,000
Speaker 3: like I know, obviously, like in the race for power,

644
00:35:05,120 --> 00:35:07,440
Speaker 3: you don't like someone like Donald Trump who takes up

645
00:35:07,440 --> 00:35:10,239
Speaker 3: all the oxygen so and it hampers your ability to

646
00:35:10,280 --> 00:35:12,920
Speaker 3: move upward. That if they're like, no, man, like, I'm

647
00:35:12,960 --> 00:35:16,520
Speaker 3: not gonna fucking help you, dude, like it. If it's

648
00:35:16,600 --> 00:35:18,600
Speaker 3: meant for this thing to end for you, then that's

649
00:35:18,640 --> 00:35:20,560
Speaker 3: what's going to happen. And that's actually a good thing

650
00:35:20,600 --> 00:35:22,480
Speaker 3: for me and my own political goals.

651
00:35:23,040 --> 00:35:23,200
Speaker 1: Right.

652
00:35:23,760 --> 00:35:29,560
Speaker 3: But yeah, the seventy pro Trump freaks sprinkled throughout different

653
00:35:29,560 --> 00:35:34,560
Speaker 3: counties in the nation does not make me feel good,

654
00:35:34,760 --> 00:35:38,719
Speaker 3: because yeah, they's it's in the uncertainty where a lot

655
00:35:38,760 --> 00:35:41,120
Speaker 3: of these conspiracy theories end up taking hold, and then you.

656
00:35:42,560 --> 00:35:44,439
Speaker 2: Ramp it up to something like another January six.

657
00:35:44,960 --> 00:35:48,880
Speaker 1: Yeah, I mean they or like something more successful than

658
00:35:48,960 --> 00:35:51,520
Speaker 1: January six. It seems like they're actually a little bit

659
00:35:51,520 --> 00:35:54,359
Speaker 1: more well prepared this time. And it's not just like.

660
00:35:54,400 --> 00:35:56,680
Speaker 2: We'll have guns outwardly that we carry.

661
00:35:57,120 --> 00:36:00,319
Speaker 1: Yeah, it's just it's not really isn't a question he's

662
00:36:00,360 --> 00:36:04,160
Speaker 1: trying to rig the election. He's trying basically, as we know,

663
00:36:04,239 --> 00:36:06,800
Speaker 1: his playbook is always do the thing that he's accusing

664
00:36:06,840 --> 00:36:09,440
Speaker 1: the other side of, So rig the election. You know,

665
00:36:09,520 --> 00:36:13,799
Speaker 1: all the complaints about like vote counters being in the

666
00:36:14,000 --> 00:36:17,200
Speaker 1: bag for Biden and like throwing out ballots. I'm sure

667
00:36:17,280 --> 00:36:22,440
Speaker 1: that is what he is wanting done on his behalf.

668
00:36:23,120 --> 00:36:27,440
Speaker 1: And so it does like a story that we'll have

669
00:36:27,520 --> 00:36:30,160
Speaker 1: to try and start covering see if there is a

670
00:36:30,160 --> 00:36:32,480
Speaker 1: story there is, like what the Democratic Party is doing.

671
00:36:33,080 --> 00:36:35,960
Speaker 1: It feels like it would be a dereliction of duty

672
00:36:35,960 --> 00:36:39,439
Speaker 1: if the Democratic Party wasn't like hair on fire trying

673
00:36:39,480 --> 00:36:43,920
Speaker 1: to like just smash through some sort of election laws

674
00:36:44,000 --> 00:36:47,160
Speaker 1: to ensure that the person with the most votes actually

675
00:36:47,200 --> 00:36:51,800
Speaker 1: like won the state. But no, that does feel it

676
00:36:52,520 --> 00:36:55,560
Speaker 1: feel like the sort of thing that I don't know,

677
00:36:55,920 --> 00:37:01,000
Speaker 1: I'm used to seeing the Democrats kind of about being

678
00:37:01,120 --> 00:37:05,680
Speaker 1: unfair after the fact rather than doing the thing to

679
00:37:06,360 --> 00:37:12,000
Speaker 1: head it off before it happens. And so they.

680
00:37:11,520 --> 00:37:15,080
Speaker 3: Had time and then they're just like, let's move on

681
00:37:15,120 --> 00:37:15,799
Speaker 3: to something else.

682
00:37:16,160 --> 00:37:19,520
Speaker 2: But yeah, where, yeah, how much that turns around to

683
00:37:19,760 --> 00:37:23,279
Speaker 2: bite the entire country and its ass is to be

684
00:37:23,400 --> 00:37:26,799
Speaker 2: determined anyway. It's only August fifth, so take your time.

685
00:37:27,160 --> 00:37:32,279
Speaker 1: Yeah, yeah, yeah, yeah. The Democratic election lawyer named Mark

686
00:37:32,320 --> 00:37:34,680
Speaker 1: Elios told Rolling Stone, I think we are going to

687
00:37:34,719 --> 00:37:38,520
Speaker 1: see mass refusals to certify the election. Everything we are

688
00:37:38,600 --> 00:37:41,279
Speaker 1: seeing about this election is that the other side is

689
00:37:41,360 --> 00:37:45,960
Speaker 1: more organized, more ruthless, and more prepared. And the thing

690
00:37:46,000 --> 00:37:49,440
Speaker 1: they're more prepared to do is straight up subvert democracy

691
00:37:49,840 --> 00:37:50,800
Speaker 1: in the country.

692
00:37:50,960 --> 00:37:52,759
Speaker 2: No, it's making sure we win.

693
00:37:53,160 --> 00:37:57,560
Speaker 1: Okay, that's how high they're committed to truth and victory.

694
00:37:58,200 --> 00:37:59,080
Speaker 2: And I'm a pitbull.

695
00:37:59,440 --> 00:38:05,640
Speaker 1: Dot it Yes, honesty, transparency and victory. All right. The

696
00:38:05,719 --> 00:38:10,440
Speaker 1: other person on the ticket besides Kamala Harris is RFK

697
00:38:11,360 --> 00:38:17,680
Speaker 1: and I wasn't fully aware of this mystery, but apparently

698
00:38:18,280 --> 00:38:20,600
Speaker 1: did you see this story over the weekend?

699
00:38:20,680 --> 00:38:24,440
Speaker 2: Dude, I saw the video where he's telling Roseanne, right,

700
00:38:24,840 --> 00:38:25,680
Speaker 2: did you watch that?

701
00:38:26,000 --> 00:38:28,480
Speaker 3: No, he was trying to get ahead of this story,

702
00:38:28,520 --> 00:38:32,520
Speaker 3: bike posting a video of him explaining this to Roseanne,

703
00:38:32,719 --> 00:38:36,520
Speaker 3: who equally Roseanne even looks like, bro, what are you

704
00:38:36,960 --> 00:38:37,480
Speaker 3: talking about?

705
00:38:37,520 --> 00:38:37,759
Speaker 2: Rocky?

706
00:38:37,800 --> 00:38:38,640
Speaker 1: Are you talking about?

707
00:38:39,000 --> 00:38:39,080
Speaker 3: It?

708
00:38:39,200 --> 00:38:42,799
Speaker 1: Sounds like a bad dream, like the thing that he's describing. Yeah,

709
00:38:42,840 --> 00:38:49,440
Speaker 1: it's so weird. So there was apparently a big mystery

710
00:38:50,000 --> 00:38:54,120
Speaker 1: ten years ago where a bear cub was found dead

711
00:38:54,160 --> 00:38:56,719
Speaker 1: in Central Park with a bike on top of it,

712
00:38:57,280 --> 00:39:01,040
Speaker 1: and the medical report was like, it was hit by

713
00:39:01,040 --> 00:39:05,560
Speaker 1: a car. However, there are not bears in Central Park,

714
00:39:05,920 --> 00:39:09,280
Speaker 1: So like, what is this like some weird ocult ritual?

715
00:39:09,440 --> 00:39:15,680
Speaker 1: Like what the house lost? It's happening. So the context

716
00:39:15,680 --> 00:39:19,560
Speaker 1: of RFK bringing this up is that there is a

717
00:39:19,719 --> 00:39:23,239
Speaker 1: New Yorker article coming out where they've been doing an

718
00:39:23,280 --> 00:39:28,600
Speaker 1: investigation into this, and he's like, okay, so it was me,

719
00:39:29,560 --> 00:39:32,120
Speaker 1: and what of it? They were like, wait, what what

720
00:39:32,160 --> 00:39:32,560
Speaker 1: do you mean?

721
00:39:32,600 --> 00:39:35,359
Speaker 2: It was you crazy? The mystery bear story ended up

722
00:39:35,360 --> 00:39:35,680
Speaker 2: being like.

723
00:39:35,640 --> 00:39:42,080
Speaker 1: All right, it was our FK be there, Junior like yeah,

724
00:39:41,320 --> 00:39:47,359
Speaker 1: uh so his explanation just doesn't make any sense, Like

725
00:39:47,440 --> 00:39:50,560
Speaker 1: nobody is acting in a way that makes any sense

726
00:39:50,719 --> 00:39:56,520
Speaker 1: unless you assume everyone involved is absolutely just ship faced.

727
00:39:56,920 --> 00:40:02,160
Speaker 3: Just just hearing him talk about it, he sounds like

728
00:40:02,200 --> 00:40:04,839
Speaker 3: a kid who's getting in trouble and this is him

729
00:40:04,880 --> 00:40:08,160
Speaker 3: trying to get ahead of a story. But his his

730
00:40:08,360 --> 00:40:10,680
Speaker 3: arms are like crossed in front of him, and he's like, well,

731
00:40:10,680 --> 00:40:13,359
Speaker 3: you know, I don't know if like somebody else, just

732
00:40:13,440 --> 00:40:15,560
Speaker 3: like just listen to this is the story of how

733
00:40:15,600 --> 00:40:17,239
Speaker 3: the bear got to Central.

734
00:40:16,920 --> 00:40:20,759
Speaker 4: Park and the woman in a van in front of

735
00:40:20,760 --> 00:40:24,080
Speaker 4: me hit a bear and killed it, a young bear.

736
00:40:25,280 --> 00:40:28,680
Speaker 2: So I roseanne.

737
00:40:30,080 --> 00:40:34,040
Speaker 4: A, you okay, And I picked up the bear and

738
00:40:34,040 --> 00:40:35,799
Speaker 4: put him in the back of my van because I

739
00:40:35,880 --> 00:40:38,359
Speaker 4: was going to skin the bear and it was very

740
00:40:38,360 --> 00:40:42,239
Speaker 4: good condition, and I was going to put the meat

741
00:40:42,360 --> 00:40:43,200
Speaker 4: my refrigerator.

742
00:40:43,400 --> 00:40:46,080
Speaker 3: And he said so then, and so obviously I had

743
00:40:46,080 --> 00:40:48,880
Speaker 3: to pick up the bear because it was in great condition. Yeah,

744
00:40:48,920 --> 00:40:50,719
Speaker 3: And I'm going to skin the bear, and I'm going

745
00:40:50,800 --> 00:40:53,520
Speaker 3: to put the and I'm going to use the meat.

746
00:40:53,000 --> 00:40:55,359
Speaker 1: Baby bear meat in my refrigerator because you know, how,

747
00:40:55,400 --> 00:40:59,320
Speaker 1: you know, how is that good? Is baby bear? Ze? Gang?

748
00:41:00,120 --> 00:41:02,200
Speaker 1: I mean, so maybe bear meat good eating?

749
00:41:02,600 --> 00:41:03,880
Speaker 2: Yeah? Is bear meat.

750
00:41:04,000 --> 00:41:06,160
Speaker 3: I mean, I know people eat bear meat, but how

751
00:41:06,200 --> 00:41:08,480
Speaker 3: often are you really like, yo, let's eat some fucking

752
00:41:08,480 --> 00:41:08,960
Speaker 3: bear meat.

753
00:41:09,000 --> 00:41:12,719
Speaker 2: Anyway, so he goes on, go on, Robert, you can do.

754
00:41:12,680 --> 00:41:14,200
Speaker 4: That in the or to say, you can get a

755
00:41:14,200 --> 00:41:20,200
Speaker 4: bear attag for a killed bear. And so then we

756
00:41:20,239 --> 00:41:22,560
Speaker 4: went hawking, and I had a bear in my car.

757
00:41:23,400 --> 00:41:25,960
Speaker 4: And then oh, we had a really good day and

758
00:41:26,040 --> 00:41:28,719
Speaker 4: we went late. We were catching a lot of game

759
00:41:28,960 --> 00:41:31,880
Speaker 4: and the people really loved it. So we said, and

760
00:41:31,880 --> 00:41:34,279
Speaker 4: instead of going back to my home in Westchester, I

761
00:41:34,480 --> 00:41:36,760
Speaker 4: go right to the city because there was a dinner.

762
00:41:38,239 --> 00:41:39,239
Speaker 4: Peter Lugers teak.

763
00:41:39,960 --> 00:41:43,399
Speaker 3: He sounds like a deposition, you know what I mean.

764
00:41:43,680 --> 00:41:45,879
Speaker 3: And then we were we were hawking. We were doing

765
00:41:45,960 --> 00:41:46,920
Speaker 3: some hawk ship.

766
00:41:46,800 --> 00:41:50,960
Speaker 1: So that hawking is not is unrelated to it is. Yeah,

767
00:41:51,000 --> 00:41:54,520
Speaker 1: I know. We looked deep into the smiles three three

768
00:41:54,520 --> 00:41:57,360
Speaker 1: hours deep into this. No, it's actually he he engages

769
00:41:57,400 --> 00:42:02,239
Speaker 1: in falconry. Yes, yes, And they were having with birds.

770
00:42:02,440 --> 00:42:04,240
Speaker 1: It was it was a great day of hawking.

771
00:42:04,680 --> 00:42:05,520
Speaker 2: Yeah, they stayed.

772
00:42:05,600 --> 00:42:08,560
Speaker 3: I mean, I think I can't continue to listen to him,

773
00:42:08,560 --> 00:42:09,120
Speaker 3: but you can look.

774
00:42:09,120 --> 00:42:10,839
Speaker 2: You get the vibe of what he's explained. So they

775
00:42:10,920 --> 00:42:11,239
Speaker 2: had to.

776
00:42:11,239 --> 00:42:14,200
Speaker 1: Run to dinner at Peter Luger, like as one does

777
00:42:14,280 --> 00:42:17,120
Speaker 1: after a long after a long day of hawking, with

778
00:42:17,200 --> 00:42:22,080
Speaker 1: a fucking decomposing bear in the fucking back of your car.

779
00:42:22,960 --> 00:42:26,319
Speaker 1: So Peter Luger's miles, You're never gonna believe this. Dinner

780
00:42:26,320 --> 00:42:31,200
Speaker 1: at Peter Lugers also went longer than expected, at which

781
00:42:31,200 --> 00:42:33,640
Speaker 1: point I had to catch a flight, and he's like,

782
00:42:34,000 --> 00:42:38,799
Speaker 1: oh no, there's a bear decomposing. Guys, You're never gonna

783
00:42:38,800 --> 00:42:40,960
Speaker 1: believe this. There's a bear decomposing in the back of

784
00:42:40,960 --> 00:42:41,359
Speaker 1: my car.

785
00:42:41,600 --> 00:42:44,120
Speaker 3: And I had it in a good condition because I'm

786
00:42:44,160 --> 00:42:45,719
Speaker 3: going to skin it and then I'm going to eat

787
00:42:45,719 --> 00:42:47,520
Speaker 3: and I'll put the meat in the refrigerator.

788
00:42:47,719 --> 00:42:49,279
Speaker 2: Yeah, just so you know, that's why it's there.

789
00:42:49,440 --> 00:42:52,080
Speaker 1: But then he's he's really like, we've all been there,

790
00:42:52,160 --> 00:42:53,680
Speaker 1: dead bear in the back of the car. You're in

791
00:42:53,719 --> 00:42:56,400
Speaker 1: the middle of New York City. Not enough time to

792
00:42:56,520 --> 00:43:02,920
Speaker 1: skin and eat, said bear. He also has a broken

793
00:43:03,080 --> 00:43:06,520
Speaker 1: bike in his car at the time. How big is

794
00:43:06,560 --> 00:43:12,080
Speaker 1: this fucking car? Like, why is he just driving It's yeah,

795
00:43:12,120 --> 00:43:17,839
Speaker 1: so it feels like he's driving a fucking like like junk.

796
00:43:17,920 --> 00:43:21,520
Speaker 2: Old junk like my grandpa used to have, or like workship.

797
00:43:21,680 --> 00:43:25,680
Speaker 1: Yeah so he and he's like, I didn't drink at

798
00:43:25,680 --> 00:43:28,320
Speaker 1: the time, but the people I was with were drunk.

799
00:43:28,680 --> 00:43:33,640
Speaker 1: Then me decided to make some sort of like fucked

800
00:43:33,719 --> 00:43:39,719
Speaker 1: up live action political cartoon because cars keep hitting bikers

801
00:43:39,760 --> 00:43:43,640
Speaker 1: in Central Park, so we are going to stage this

802
00:43:44,000 --> 00:43:47,800
Speaker 1: to look like the bear got killed by a bike,

803
00:43:48,560 --> 00:43:51,200
Speaker 1: is what they thought they were doing. It was like

804
00:43:51,560 --> 00:43:54,120
Speaker 1: my friends, who you know, there might have been some drinking.

805
00:43:54,280 --> 00:43:56,480
Speaker 1: They thought it was a good idea.

806
00:43:56,840 --> 00:44:00,239
Speaker 3: Oh great, So your decision making skills are let's need

807
00:44:00,320 --> 00:44:05,279
Speaker 3: the decision making process to the drunk fucks if you're

808
00:44:05,360 --> 00:44:08,480
Speaker 3: not drunk, right, yeah you're not, so you're not drunk.

809
00:44:08,800 --> 00:44:11,480
Speaker 3: You know, these motherfuckers are three sheets to the wind

810
00:44:11,560 --> 00:44:15,239
Speaker 3: or whatever that phrase is. And you are now saying, well,

811
00:44:15,520 --> 00:44:18,239
Speaker 3: and they had a pretty good idea, ditch the carcass

812
00:44:18,520 --> 00:44:21,719
Speaker 3: and again, like you said, let's make it. Let's make

813
00:44:21,760 --> 00:44:25,840
Speaker 3: a political statement about pedestrian or bicyclists versus cars.

814
00:44:25,880 --> 00:44:29,560
Speaker 1: Like none of this fucking makes any sense. Also, the

815
00:44:29,600 --> 00:44:32,200
Speaker 1: person who originally wrote the article in the New York Times,

816
00:44:32,200 --> 00:44:35,000
Speaker 1: tho was like, it has been discovered that the bear

817
00:44:35,120 --> 00:44:38,080
Speaker 1: was hit by a car, although it wasn't like nothing

818
00:44:38,080 --> 00:44:41,160
Speaker 1: to see here, folks necessarily like it was about the

819
00:44:41,239 --> 00:44:44,920
Speaker 1: mystery and like how weird it was. But that person

820
00:44:45,160 --> 00:44:52,840
Speaker 1: was JFK's granddaughter. His niece wrote the original article, So wow,

821
00:44:53,320 --> 00:44:57,240
Speaker 1: I know these are never you know, caught up in conspiracies,

822
00:44:57,320 --> 00:45:00,399
Speaker 1: but this maybe maybe this is their first one.

823
00:45:01,239 --> 00:45:02,080
Speaker 2: Yeah, it would be.

824
00:45:02,320 --> 00:45:05,000
Speaker 3: I haven't seen any other ones. But not a good

825
00:45:05,000 --> 00:45:07,719
Speaker 3: one to start off on. Kennedy family, not a good

826
00:45:07,719 --> 00:45:10,400
Speaker 3: one to start off on. I wasn't drinking, of course,

827
00:45:11,719 --> 00:45:14,799
Speaker 3: and that's fine, but you look, you look more like

828
00:45:14,840 --> 00:45:17,680
Speaker 3: in like a fucking person with terrible decision making skills,

829
00:45:17,680 --> 00:45:20,280
Speaker 3: and you're like, then you're like, what the drunk guys thought,

830
00:45:20,840 --> 00:45:22,680
Speaker 3: let's just dump this fucking thing in Central Park?

831
00:45:23,080 --> 00:45:27,080
Speaker 1: Yeah? His his campaign. The main things that have crossed

832
00:45:27,080 --> 00:45:31,480
Speaker 1: over that he has a brain a worm that ate

833
00:45:31,600 --> 00:45:33,680
Speaker 1: like a big part of his brain that's responsible for

834
00:45:33,800 --> 00:45:38,640
Speaker 1: decision making, and then just a bonker story about how

835
00:45:38,719 --> 00:45:42,759
Speaker 1: he tried to skin and eat a baby bear and

836
00:45:43,719 --> 00:45:47,279
Speaker 1: like couldn't find the time and so like dumped it

837
00:45:47,760 --> 00:45:51,400
Speaker 1: in Central Park, creating like an international mystery.

838
00:45:51,200 --> 00:45:53,799
Speaker 2: Making off collar dog eating jokes. That's the other thing

839
00:45:53,880 --> 00:45:55,480
Speaker 2: that came out. Yeah, and also.

840
00:45:55,800 --> 00:46:00,560
Speaker 1: Claiming that he did eat dog before, so nailing it. Yeah,

841
00:46:00,600 --> 00:46:03,800
Speaker 1: And finally back to the Olympics. At the end of

842
00:46:03,920 --> 00:46:08,520
Speaker 1: last week, in the women women's boxing event, there was

843
00:46:08,719 --> 00:46:16,839
Speaker 1: a transphobic panic over the Algerian boxer Iman Khalif, and

844
00:46:17,520 --> 00:46:22,399
Speaker 1: it was yeah, it was it really like broke through

845
00:46:22,840 --> 00:46:26,480
Speaker 1: to uh the Wall Street Journal and people who read

846
00:46:26,520 --> 00:46:28,800
Speaker 1: the Wall Street Journal, but yeah, it was really everywhere.

847
00:46:29,080 --> 00:46:33,239
Speaker 3: Her crime was hitting her Italian opponent too hard that

848
00:46:33,320 --> 00:46:36,399
Speaker 3: the opponent gave up, and then beginning like and then

849
00:46:36,400 --> 00:46:39,200
Speaker 3: in the interview was sort of casting spurs, like you know,

850
00:46:39,400 --> 00:46:42,120
Speaker 3: like whatever their condition they're in, like it's not for

851
00:46:42,200 --> 00:46:44,560
Speaker 3: me to decide if it's right for them to compete,

852
00:46:44,600 --> 00:46:45,200
Speaker 3: And people are like.

853
00:46:45,160 --> 00:46:46,600
Speaker 2: What the fuck is going on?

854
00:46:47,040 --> 00:46:52,160
Speaker 3: And again this led to this just immediate freaky right wing,

855
00:46:52,480 --> 00:46:53,640
Speaker 3: right wing outrage.

856
00:46:54,160 --> 00:46:54,319
Speaker 2: You know.

857
00:46:54,440 --> 00:46:54,760
Speaker 1: JK.

858
00:46:54,920 --> 00:46:58,279
Speaker 3: Rowling was obviously like leading the charge and kept saying

859
00:46:58,320 --> 00:47:00,560
Speaker 3: all kinds of horrific shit and like this led her

860
00:47:01,000 --> 00:47:03,720
Speaker 3: uh Khalif, and also a Taiwanese boxer who was also

861
00:47:03,800 --> 00:47:07,760
Speaker 3: they're like this person also failed a gender eligibility test.

862
00:47:08,360 --> 00:47:12,879
Speaker 5: Yeah, this was again this is the the The controversy

863
00:47:12,920 --> 00:47:16,040
Speaker 5: comes around a test that was administered by the IBA,

864
00:47:16,360 --> 00:47:19,600
Speaker 5: which was like a boxing organization that was banished from

865
00:47:19,600 --> 00:47:22,120
Speaker 5: Olympic boxing prior to the Tokyo Games.

866
00:47:23,160 --> 00:47:27,080
Speaker 3: These two women had competed without incident to all of this,

867
00:47:27,480 --> 00:47:29,920
Speaker 3: and guess what they also took L's like they were

868
00:47:29,960 --> 00:47:32,520
Speaker 3: getting beat by other CIS women. So it's not like

869
00:47:32,560 --> 00:47:35,280
Speaker 3: something where they're like, you know, the kinds of memes

870
00:47:35,320 --> 00:47:37,520
Speaker 3: and fucked up shit they were like trying to do

871
00:47:37,600 --> 00:47:39,319
Speaker 3: is act like you know, it's like this this man

872
00:47:39,440 --> 00:47:41,120
Speaker 3: is just stepping into the ring and then like just

873
00:47:41,200 --> 00:47:44,920
Speaker 3: outright assaulting women and under the guise of competitive boxing.

874
00:47:46,040 --> 00:47:47,879
Speaker 2: But again, a lot.

875
00:47:47,800 --> 00:47:50,040
Speaker 3: Of people are casting doubt over the legitimacy of the

876
00:47:50,080 --> 00:47:52,560
Speaker 3: IBA as they have like like a lot of weird

877
00:47:52,680 --> 00:47:56,400
Speaker 3: ties to Russia, and Khalif's gender eligibility was first questioned

878
00:47:56,440 --> 00:48:00,640
Speaker 3: after she beat a Russian boxer, and the IB like

879
00:48:00,680 --> 00:48:02,400
Speaker 3: when they asked, like, what is the test that you

880
00:48:02,440 --> 00:48:03,239
Speaker 3: even administered?

881
00:48:03,239 --> 00:48:04,840
Speaker 2: What was the methodology you used.

882
00:48:04,680 --> 00:48:07,279
Speaker 3: Because they're like, there was are there we've detected x

883
00:48:07,440 --> 00:48:11,160
Speaker 3: Y chromosomes. Again, a medical experts, A lot of the

884
00:48:11,160 --> 00:48:13,360
Speaker 3: people who were like at the forefront of helping debunk

885
00:48:13,440 --> 00:48:15,920
Speaker 3: this and other people who were like much more informed

886
00:48:15,960 --> 00:48:18,920
Speaker 3: on this thing and the nuance of sex chromosomes or

887
00:48:19,000 --> 00:48:22,040
Speaker 3: like yeah, there's a there's a number of conditions where

888
00:48:22,080 --> 00:48:25,160
Speaker 3: like assis woman could have them and and and vice versa,

889
00:48:25,320 --> 00:48:26,680
Speaker 3: like with men having high Like.

890
00:48:26,640 --> 00:48:29,840
Speaker 2: This is this is fucking stupid.

891
00:48:29,880 --> 00:48:32,560
Speaker 3: So the IBA like they were also like we're not

892
00:48:32,600 --> 00:48:35,160
Speaker 3: going to tell you how we got this result or

893
00:48:35,200 --> 00:48:36,279
Speaker 3: what the test was.

894
00:48:36,400 --> 00:48:38,200
Speaker 2: So everyone was like what the fuck.

895
00:48:38,040 --> 00:48:40,840
Speaker 3: Is this for because a lot of issues like the

896
00:48:41,320 --> 00:48:45,320
Speaker 3: you know, Calif's next opponent was like reposting like memes

897
00:48:45,320 --> 00:48:46,879
Speaker 3: about how like she was about to fight like some

898
00:48:46,920 --> 00:48:51,919
Speaker 3: fucking demon or some shit. The Italian boxer apologized for

899
00:48:52,080 --> 00:48:56,680
Speaker 3: even like kicking this whole thing off rightly. But the

900
00:48:56,719 --> 00:48:58,680
Speaker 3: other thing I was like also just kind of odd

901
00:48:58,719 --> 00:49:01,799
Speaker 3: to it was like Jake k Rowling. When she was

902
00:49:01,840 --> 00:49:04,759
Speaker 3: like posting this stuff, people were like looking at her

903
00:49:04,800 --> 00:49:06,880
Speaker 3: profile picture and they're like, it looks like you have

904
00:49:07,040 --> 00:49:10,880
Speaker 3: black mold like crawling up your walls.

905
00:49:10,760 --> 00:49:12,839
Speaker 1: Like are really fucking where are you.

906
00:49:13,640 --> 00:49:16,120
Speaker 3: She didn't comment on it, but it felt like the

907
00:49:16,239 --> 00:49:19,360
Speaker 3: comments were enough that she definitely saw it and like

908
00:49:19,400 --> 00:49:22,880
Speaker 3: immediately like her profile picture changed, So the moldy walls

909
00:49:22,880 --> 00:49:25,560
Speaker 3: in question are not there, and part of me is like, yeah,

910
00:49:25,600 --> 00:49:28,160
Speaker 3: you would be some sloppy person who like doesn't address

911
00:49:28,200 --> 00:49:31,880
Speaker 3: a black mold, Like you're some wealthy freak who's like, yeah, I.

912
00:49:31,880 --> 00:49:37,080
Speaker 1: Have black mold everywhere and I fire off on hate.

913
00:49:37,760 --> 00:49:39,520
Speaker 3: But anyway, I think it's It's also a lot of

914
00:49:39,560 --> 00:49:41,839
Speaker 3: people were also pointing out that in Algeria, where amon

915
00:49:41,920 --> 00:49:44,880
Speaker 3: Klief is from, it's illegal to be openly trans or

916
00:49:44,880 --> 00:49:48,440
Speaker 3: to like transition, so like this outrage could actually like

917
00:49:48,520 --> 00:49:52,200
Speaker 3: have serious like implications for her in Algeria, although it

918
00:49:52,200 --> 00:49:53,520
Speaker 3: doesn't seem like that's the case.

919
00:49:53,520 --> 00:49:54,760
Speaker 2: But yeah, again.

920
00:49:54,680 --> 00:49:57,279
Speaker 1: Again she's not trans, but just you're saying like the

921
00:49:57,360 --> 00:49:58,759
Speaker 1: rumors that are being.

922
00:49:58,560 --> 00:50:02,000
Speaker 3: And swirl around and just make this into a fucking

923
00:50:02,120 --> 00:50:06,440
Speaker 3: nothing burger buffet. It's just like yeah, and this is

924
00:50:06,520 --> 00:50:09,040
Speaker 3: and this was again, this was what many people, like

925
00:50:09,120 --> 00:50:12,440
Speaker 3: activists around the beginning of like this like weird gender police,

926
00:50:12,480 --> 00:50:15,720
Speaker 3: and they're like it's going to boomerang around for actual

927
00:50:15,840 --> 00:50:19,359
Speaker 3: CIS women Like it's that like you start questioning shit

928
00:50:19,520 --> 00:50:22,360
Speaker 3: like that. It's honestly, it makes me feel like eventually

929
00:50:22,360 --> 00:50:23,840
Speaker 3: they're gonna be like, well, black people need to be

930
00:50:23,880 --> 00:50:27,480
Speaker 3: in their own sprinting category, right because like, yeah, you

931
00:50:27,560 --> 00:50:29,560
Speaker 3: have their swimmers with like webbed feet?

932
00:50:29,680 --> 00:50:33,120
Speaker 2: Are there other just variations in the human body that

933
00:50:33,520 --> 00:50:35,640
Speaker 2: you look at and it just feels like this is

934
00:50:35,719 --> 00:50:37,960
Speaker 2: just a very slippery slope to then be like, well,

935
00:50:37,960 --> 00:50:41,879
Speaker 2: these are the pure humans, these are the mutants, and

936
00:50:41,960 --> 00:50:44,040
Speaker 2: blah blah blah blah blah. Yeah, it's just danger shit.

937
00:50:44,120 --> 00:50:48,640
Speaker 1: They want to make it a story where it's this

938
00:50:48,760 --> 00:50:52,920
Speaker 1: new woke mind virus is like making it seem normal,

939
00:50:52,960 --> 00:50:56,080
Speaker 1: but this is not normal, Like there have been controversies

940
00:50:56,120 --> 00:50:59,160
Speaker 1: like this all throughout the history of the Olympics, Like, yeah,

941
00:50:59,280 --> 00:51:04,600
Speaker 1: many years into the past, and it just wasn't immediately

942
00:51:04,680 --> 00:51:08,239
Speaker 1: weaponized by fucking you know, right wing people on the

943
00:51:08,239 --> 00:51:13,719
Speaker 1: internet and fucking JK. Rowling for whatever whatever weird problem

944
00:51:13,960 --> 00:51:18,400
Speaker 1: she has. Yeah, but beyond black mold, because that do

945
00:51:18,840 --> 00:51:21,239
Speaker 1: we know, like what does black mold cause? People? Like,

946
00:51:21,280 --> 00:51:23,440
Speaker 1: does it cause like weird paranoid Not.

947
00:51:23,600 --> 00:51:25,880
Speaker 2: It would, but no, I was looking it up.

948
00:51:25,960 --> 00:51:29,279
Speaker 3: It's mostly like respiratory issues, Like is the worst thing

949
00:51:29,320 --> 00:51:32,960
Speaker 3: about black mold? But again I think it maybe it's

950
00:51:33,000 --> 00:51:36,080
Speaker 3: more indicative of where someone's at to like look at

951
00:51:36,200 --> 00:51:39,600
Speaker 3: like black like black mold creeping up your walls.

952
00:51:39,280 --> 00:51:42,239
Speaker 2: And you're like, oh my walls are doing something fun.

953
00:51:42,640 --> 00:51:44,600
Speaker 1: My walls are doing the same thing. The inside of

954
00:51:44,600 --> 00:51:47,560
Speaker 1: my soul is always doing. It's interesting taking over the

955
00:51:48,080 --> 00:51:52,880
Speaker 1: you can see them too. That was just because everything

956
00:51:52,880 --> 00:51:56,760
Speaker 1: I see just for me. But anyway goes full gollum

957
00:51:56,960 --> 00:52:00,799
Speaker 1: on the world. Anyways, Yeah, it seems like this is

958
00:52:00,840 --> 00:52:04,680
Speaker 1: going to continue to be made into a story, but

959
00:52:05,239 --> 00:52:08,799
Speaker 1: like the actual story for all intensive purposes is, you know,

960
00:52:09,480 --> 00:52:14,200
Speaker 1: the IOC has made their decision. It's the same decision

961
00:52:14,400 --> 00:52:19,120
Speaker 1: as every organizing body except the IBA, and the IBA

962
00:52:19,160 --> 00:52:24,680
Speaker 1: was doing it under weird circumstances without with like undisclosed

963
00:52:24,800 --> 00:52:27,960
Speaker 1: medical tests, Like they're like, we're not going to tell honestly,

964
00:52:28,200 --> 00:52:30,960
Speaker 1: we're not going to tell why we're disqualifying them. We

965
00:52:31,120 --> 00:52:33,360
Speaker 1: just are and that's okay.

966
00:52:33,520 --> 00:52:38,040
Speaker 3: So like arbitrary like opaque decision making process that you

967
00:52:38,080 --> 00:52:38,640
Speaker 3: won't share.

968
00:52:38,760 --> 00:52:40,480
Speaker 2: Yeah, yeah, yeah yeah.

969
00:52:40,520 --> 00:52:42,600
Speaker 3: And again like even the IOC, like you're saying, it's

970
00:52:42,640 --> 00:52:45,239
Speaker 3: like these like these women have been competing, like there's

971
00:52:45,239 --> 00:52:45,600
Speaker 3: no issue.

972
00:52:45,640 --> 00:52:47,399
Speaker 2: There's literally no issue here, like.

973
00:52:47,400 --> 00:52:50,319
Speaker 3: Except for yeah, you get the one of the most

974
00:52:50,360 --> 00:52:53,200
Speaker 3: famous transphobes on Twitter and have someone and also have

975
00:52:53,280 --> 00:52:55,400
Speaker 3: it happen on a place like Twitter, where right, now

976
00:52:55,760 --> 00:52:59,120
Speaker 3: misinformation is running rampant, like where you can even see

977
00:52:59,120 --> 00:53:02,080
Speaker 3: how it's you know, like in the in the aftermath

978
00:53:02,120 --> 00:53:06,560
Speaker 3: of the mass stabbing that happened in England, how some

979
00:53:06,680 --> 00:53:10,600
Speaker 3: weird ass Russian misinformation news site got shared around. And

980
00:53:10,640 --> 00:53:13,640
Speaker 3: now you have people that are like attacking places that

981
00:53:13,719 --> 00:53:18,040
Speaker 3: are housing asylum seekers under the guise of like this,

982
00:53:18,040 --> 00:53:21,359
Speaker 3: this Muslim person attacked these kids and that wasn't even

983
00:53:21,400 --> 00:53:21,880
Speaker 3: the case.

984
00:53:22,200 --> 00:53:25,160
Speaker 2: And yeah, and Elon Musk is already.

985
00:53:25,120 --> 00:53:27,480
Speaker 3: Like sharing a bunch of weird shit too, like of

986
00:53:27,480 --> 00:53:31,600
Speaker 3: his own, like weird deep bake nonsense. So yeah, there's

987
00:53:31,600 --> 00:53:35,160
Speaker 3: just there. We're starting to see just in every way,

988
00:53:35,280 --> 00:53:39,560
Speaker 3: how how delicate, like all these situations are, especially with

989
00:53:39,600 --> 00:53:42,040
Speaker 3: people's information diets, that it can either turn into just

990
00:53:42,120 --> 00:53:47,239
Speaker 3: an out just a completely unjustified outrage mob, or like

991
00:53:47,360 --> 00:53:50,440
Speaker 3: or manifesting in real life in physical space, like with

992
00:53:50,560 --> 00:53:55,479
Speaker 3: violence like we're seeing in other places. So yeah, Twitter, yeah, yeah,

993
00:53:55,520 --> 00:53:58,399
Speaker 3: please stay safe and tell you tell your tell your

994
00:53:58,719 --> 00:54:01,440
Speaker 3: misinformed friends and family who maybe being.

995
00:54:01,280 --> 00:54:03,120
Speaker 2: Like what did you think about the boxer?

996
00:54:03,960 --> 00:54:06,960
Speaker 3: Yeah, tell them about this, because I feel like this

997
00:54:07,040 --> 00:54:10,520
Speaker 3: has become a lot of people are very we're being

998
00:54:10,600 --> 00:54:13,920
Speaker 3: very uncritical and like hearing this story and then immediately

999
00:54:13,960 --> 00:54:16,439
Speaker 3: being like, man, that's crazy that there's like they're letting

1000
00:54:16,480 --> 00:54:18,520
Speaker 3: a man compete in the boxing category.

1001
00:54:18,640 --> 00:54:19,960
Speaker 2: That is not what has happened.

1002
00:54:20,120 --> 00:54:22,440
Speaker 1: Yeah, all right, those are some of the things that

1003
00:54:22,480 --> 00:54:25,040
Speaker 1: we're trending over the weekend and on this Monday morning.

1004
00:54:25,280 --> 00:54:28,719
Speaker 1: We are back tomorrow with a whole ass episode of

1005
00:54:28,760 --> 00:54:31,480
Speaker 1: the show. Until then, be kind to each other, be

1006
00:54:31,640 --> 00:54:35,160
Speaker 1: kind to yourself, get your vaccines, get your flu shots,

1007
00:54:35,360 --> 00:54:38,239
Speaker 1: don't do nothing about white supremacist and we will talk

1008
00:54:38,280 --> 00:54:38,920
Speaker 1: to you all tomorrow.

1009
00:54:39,080 --> 00:54:44,520
Speaker 2: Bye bye,