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Speaker 1: The thing I haven't sort of gotten a real answer

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Speaker 1: to is like where are all the cars going now?

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Speaker 1: Because like you know, it's traffic much worse on the

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Speaker 1: b QUE or it is like you know, for instance,

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Speaker 1: the b QUE is literally like it can't take any

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Speaker 1: more cars, like if more cars.

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Speaker 2: Queer Expressway, Yes.

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Speaker 1: That's what we call it. Well once it passes into Bushwick,

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Speaker 1: you call it that you're bullying.

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Speaker 3: Is really on point.

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Speaker 2: I'm advocating for queer people, you know, like there's a

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Speaker 2: lot of queer people in Brooklyn.

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Speaker 3: It's just so as.

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Speaker 1: A window now where it can talk New York, no,

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Speaker 1: where you can pretend that you're better than New York.

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Speaker 1: But that wind is going to close pretty soon. But

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Speaker 1: you know, you could get it and.

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Speaker 2: We can't even open our windows.

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Speaker 3: It's a lesson I've taken. Yeah, that's a lesson I've

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Speaker 3: taken from the the year so far.

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Speaker 2: Yeah, we fucking suffered. Get out of the way. Yeah,

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Speaker 2: our city.

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Speaker 3: Ship right now, Our city's on fire.

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Speaker 2: Hey I'm bunning over here.

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Speaker 3: Hello the Internet, and welcome to season three, seventy two,

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Speaker 3: Episode two of Dilly's I Guys Stay production of iHeartRadio.

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Speaker 3: This is the podcast where we take a deep dive

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Speaker 3: into America's shared consciousness. We do have a YouTube channel.

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Speaker 3: This episode is going up on YouTube. You can go

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Speaker 3: check it out on Friday. It is Wednesday, January twenty second,

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Speaker 3: twenty twenty five. Come on, it's not that date. That date,

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Speaker 3: it's never gonna get here. Come on, Project twenty twenty five.

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Speaker 3: That's that's the future. The future doesn't exist. My name

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Speaker 3: is Jack O'Brien aka Zei.

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Speaker 4: Guy's got trend Internet trends. My friends, zeich Guy's got trends,

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Speaker 4: my only friends, the trends.

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Speaker 3: That one courtesy of less zero on the Discord. Lesson

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Speaker 3: Zero written all cool and hackery. That song by the

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Speaker 3: Doors I don't know, feels appropriate as hell right now,

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Speaker 3: to be.

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Speaker 1: Honest, Jim Morrison impersonation, by the.

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Speaker 3: Way, anybody can do it. It turns out that guy

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Speaker 3: couldn't sing for Ship. It's just kind of drunk and

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Speaker 3: uh is just do loose. You can do Elvis too,

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Speaker 3: you don't.

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Speaker 2: Yeah, Elvis had, Elvis had okay pipe.

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Speaker 3: You can do Elvis. I'm just like you. I can

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Speaker 3: I can do I can do Elvis, I can do

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Speaker 3: Jim Morrison, I can do Springsteen.

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Speaker 2: You know, the white guy bloot rotation.

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Speaker 3: Dream blood rotation. I'm thrilled to be joined in our

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Speaker 3: second seat, our miles seat, by a hilarious stand up comedian, writer, actor, improviser.

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Speaker 2: It's probably you know, Oh my god, Hi, Hi guys, Hey, hi.

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Speaker 3: You got the height.

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Speaker 2: I wanted to go totally different than I normally do.

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Speaker 3: Just play a character for the entire episode.

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Speaker 2: Hey why not? You know, welcome to comedy thing. Thing.

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Speaker 1: That's good too.

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Speaker 3: We are throwing to be joined probably in our third

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Speaker 3: seat by a podcaster extraordinaire, you know, from this day

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Speaker 3: in esoteric political history. He's also hosted thirty for thirty

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Speaker 3: three ESPN, the five thirty eight politics podcast way back,

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Speaker 3: but that's where I first found out about him, so

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Speaker 3: I'm always.

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Speaker 1: Gonna break it Trump was elected president.

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Speaker 3: Way back when Trump had the red and black lumberjack

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Speaker 3: and the hat to match. He's the lead producer on

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Speaker 3: The Puzzler. It's Jody Abergade.

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Speaker 1: Nice to be Yeah, as always, it's great to have you, Jody,

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Speaker 1: And you post these video episodes two days, three days

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Speaker 1: after they come out, exactly so perfect, exactly of orders,

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Speaker 1: you know, fourteen executive orders later, exactly this.

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Speaker 3: Way more relevant than that.

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Speaker 2: I think it's depending on like Trump's attention span and

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Speaker 2: signing his own name, which I feel like is long.

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Speaker 3: It's like carpal tunnel, Like his hand is cramping up.

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Speaker 1: What's the tariffs on? Sharp? And it'll slow down? Yeah?

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Speaker 3: Yeah, Jody, how are you doing?

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Speaker 2: Uh?

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Speaker 3: Paul, Jody, you guys picked a good one. If you

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Speaker 3: landed a good one in terms of real you know,

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Speaker 3: the news cycle, my overall level of comfort and ease. Uh,

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Speaker 3: it's gonna be an interesting one. I appreciate you both

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Speaker 3: being here. Jody, we were talking about the old New

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Speaker 3: York v. L A comparisons both you know.

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Speaker 1: The coastal elites go ahead to you're freaking out a

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Speaker 1: little bit, collecting.

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Speaker 3: Character syndrome for both cities. We're like, well, that's not

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Speaker 3: That's not an important city. We're an important city.

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Speaker 2: I do love that. Right now, New Yorkers can't say

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Speaker 2: they hate us because La is La. People are like,

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Speaker 2: we we get so much hate. You'll be like, I'm

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Speaker 2: from LA and people will be like, I hate La.

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Speaker 2: And right now while we're burning, people are like, you

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Speaker 2: guys got heart?

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Speaker 1: Can I tell you? I am a new Yorker, and

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Speaker 1: I'm one, you know, and I hold this like irrational,

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Speaker 1: like New York is the greatest city in the world.

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Speaker 2: New York, No I do.

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Speaker 1: I mean, obviously I do too. I think there are

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Speaker 1: other great cities, but I kind of like, I really

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Speaker 1: indulge in that. And over the last like four or

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Speaker 1: five years, I've known a lot of people have moved

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Speaker 1: to LA. I have become kind of like humored with LA,

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Speaker 1: and but then we're pretty cute. A couple of weeks ago,

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Speaker 1: I decided, just as the New Year was starting, I

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Speaker 1: was like, hating LA is back, and I actually tweeted it.

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Speaker 1: I actually tweeted it, and I was like, the playing

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Speaker 1: ice is over, It's.

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Speaker 2: Time to start fires.

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Speaker 1: It was the day before the fires broke out where

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Speaker 1: I like planted a flag. I was like, I'm gonna

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Speaker 1: talk shit about LA. And then the fires broke out

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Speaker 1: the very next.

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Speaker 5: Day, and even the climate scientists and the fact your

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Speaker 5: bravery that you've stuck with it every single day tweeting

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Speaker 5: something aggressive and mean about LA ever since then admirable.

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Speaker 2: Yeah, they deserved it. I remember that one. I remember

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Speaker 2: you tweeted they deserved it.

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Speaker 1: They deserve I'm like putting like refund request to go fund.

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Speaker 3: The emojis everywhere you know, this one looks suspicious broadly

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Speaker 3: across every goof.

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Speaker 2: On me saw Jody looting an evacuation zones.

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Speaker 3: It's crazy she's starting so that the right wing comedians

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Speaker 3: will have something to complain about.

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Speaker 1: Yeah, New York can't hate on LA What do what

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Speaker 1: do we have?

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Speaker 3: Exactly?

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Speaker 2: Literally everything.

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Speaker 1: Most everything else.

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Speaker 3: Meanwhile, I've been over here like talking, like the one

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Speaker 3: news story that gives me hope is the congestion pricing.

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Speaker 3: And I'm just like everyone in New York, I'm like,

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Speaker 3: what's it like to be around that?

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Speaker 1: Like this would be the world with it with and

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Speaker 1: then it's just like this fututure, futuristic Valhalla.

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Speaker 3: Yes, exactly, law, a single law aimed at improving the

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Speaker 3: lives of citizens with no clear corporate tie. Now where

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Speaker 3: it's like and you have to give us all of

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Speaker 3: your credit card information.

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Speaker 1: Watered down and delayed by months and months and months.

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Speaker 1: But yes, yeah, yeah, we're.

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Speaker 2: Going to find out they're killing kittens for it or

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Speaker 2: something later. All right, Jody, we're going to get to

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Speaker 2: know you a little bit better in a moment. First,

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Speaker 2: we're going to tell the listeners a couple of the

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Speaker 2: things we're talking about today.

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Speaker 3: Where to begin. We'll talk about, you know, just a

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Speaker 3: quick rundown of Trump's executive orders that are getting pushed

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Speaker 3: back in courts and aren't getting pushbacks in courts, And

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Speaker 3: then we do have to talk about the elon musk

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Speaker 3: Nazi salute.

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Speaker 1: Yeah, you don't have to put a question, you don't

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Speaker 1: have to put a.

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Speaker 3: Long anti defam. Major League seems to think it was

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Speaker 3: just an awkward gesture.

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Speaker 2: Of every kind.

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Speaker 1: Yeah, that's true. We don't want to they don't have

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Speaker 1: the same musk.

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Speaker 3: There, you go, straight up intentional and aggressive Nazi salute.

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Speaker 3: And we'll talk about why primates, including people peeing groups,

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Speaker 3: all of that plenty more. But first, Jody, we do

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Speaker 3: like to ask our guests, what is something from your

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Speaker 3: search history that's revealing about who you are?

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Speaker 1: Well, I it's very see everything I say now will

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Speaker 1: be casting this New York versus out. It's very cold

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Speaker 1: here in New York right now, and it snowed recently.

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Speaker 1: But it is like hard for you, Yeah, I know,

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Speaker 1: it's very hard for me.

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Speaker 2: I went sledding with my daddy covering the city.

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Speaker 1: Yeah, hush, and there's no cars now because of congestion pricing,

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Speaker 1: so you can just slush your way down the middle

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Speaker 1: of the street. It's really wonderful. But I got I

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Speaker 1: got thinking a lot about the like real feel temperature,

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Speaker 1: because you know, we're getting these forecasts now in New

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Speaker 1: York where it's like it's thirty degrees but it feels

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Speaker 1: like negative five. And you know, I've basically come to

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Speaker 1: the conclusion that, like, why don't we just get the

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Speaker 1: real feel? The real feel is the real should be

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Speaker 1: the real.

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Speaker 2: Temperature, like it's forty degrees, but it feels like your

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Speaker 2: mother kicked you in the teeth.

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Speaker 1: And I mean, all I do with temperature is feel it,

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Speaker 1: Like I don't have any other things that I do

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Speaker 1: with temperature. And so I started to just like go

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Speaker 1: down a little rabbit hole of how that temperature gets calculated.

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Speaker 1: And I couldn't really explain it to you, but it

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Speaker 1: is kind of fascinating how the rise of real feel.

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Speaker 3: And I know it's just a guy in central parts.

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Speaker 1: I don't know.

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Speaker 3: I'm comfortable.

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Speaker 2: A smiley face is on a doctor's little range.

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Speaker 1: Yeah, yeah, but this is but I genuinely like I

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Speaker 1: would like to propose that we make real feel the temperature,

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Speaker 1: feel the default temperature that we get. I mean, what's the.

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Speaker 2: Point every measurement? Though? It's like we thought we could

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Speaker 2: get rid of daylight savings. That bitch is still on

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Speaker 2: our ass. You know, we thought we could do like

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Speaker 2: metric measurements that made sense. No, no, and then now

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Speaker 2: it's like what you're feeling isn't really how It's like

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Speaker 2: the weather people are gaslighting us. They're like, no, it

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Speaker 2: doesn't actually, it's not actually what you think it is.

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Speaker 3: Yeah, we just need to get our We just need

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Speaker 3: to get the pulling in and then we'll know what

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Speaker 3: the temperature is outside that that is really interesting. I've

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Speaker 3: also never heard it referred to so consistently as real feel.

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Speaker 3: It feels like they they're winning some branding war right now.

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Speaker 3: Because I've always called it like the feels like temperature

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Speaker 3: or the wind chill factor, which is real.

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Speaker 2: It sounds like there's more things than just wind chills,

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Speaker 2: that's right.

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Speaker 1: Yeah, yeah, I think humidity has something to do with it.

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Speaker 1: You know, did you get enough sleep the night before?

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Speaker 1: Like all those things, kind of going.

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Speaker 3: Through a wet cold. It's not something that I realized,

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Speaker 3: you know, like a wet like when the air is

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Speaker 3: both humid and really cold. I didn't realize how cold

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Speaker 3: that could feel until I was in Ireland one winter

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Speaker 3: and it like gets there, like they say, it gets

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Speaker 3: inside your closing. You're like, oh, you affable Irish people,

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Speaker 3: and then you feel it. It's like holy shit, it's

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Speaker 3: like inside, It's inside everything I'm wearing right now, there

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Speaker 3: is the British. Yes, and I did say that to

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Speaker 3: make sure that they liked me over there. Yeah, yeah, Jody,

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Speaker 3: that sounds really uncomfortable. Over here. We're checking the air

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Speaker 3: quality on air now dot gov. And a little feature

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Speaker 3: that I want to shout out the air now dot

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Speaker 3: gov people on is they've built in a little moment

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Speaker 3: of suspense, a little storytelling into the app where you

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Speaker 3: go there and you hit the like where I am,

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Speaker 3: and then it starts at zero at like very clean air,

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Speaker 3: and then it like kind of it needles up to

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Speaker 3: the bad. It needles up to the bad air quality

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Speaker 3: that you're at, which exactly how bad is this air?

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Speaker 3: How much mesophilioma is this going to?

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Speaker 2: You're just trying to get you to stay on the

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Speaker 2: app for a second longer yeah.

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Speaker 1: Yeah, well you know that that app was purchased by

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Speaker 1: a private equity firm two weeks ago, and now they're

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Speaker 1: just trying to extract as much well from it as the.

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Speaker 3: Same guy who tells them what it feels like in

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Speaker 3: New York is like, you know, their focus group.

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Speaker 1: So can I ask you, I'm happy to not talk

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Speaker 1: about what's going on in LA and talk about some

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Speaker 1: of your things, like Trump's executive orders. But yes, it does.

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Speaker 1: Is I've heard over and over from folks in LA,

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Speaker 1: like the kind of all that muscle memory of deep

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Speaker 1: COVID is kind of back, and like the masks, the isolation,

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Speaker 1: the sort of like just sort of hyper weird reality.

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Speaker 1: Is it? Is that right?

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Speaker 2: I mean I think it's reverse you go, Yeah, you

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Speaker 2: were going about to say it's like reverse COVID where

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Speaker 2: you wear your masks outside and take them off inside. Yeah,

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Speaker 2: we were thinking that too. I think it really depends

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Speaker 2: because there's some parts of the city where people are

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Speaker 2: just acting totally normal because it's such a big city.

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Speaker 2: And also I think people are still tired from taking

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Speaker 2: all those precautions in COVID. But in my mind, I'm

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Speaker 2: going a little COVID crazy I'm like, when do you like,

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Speaker 2: what about my dogs? Like I can't mask them, Like

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Speaker 2: like what's the air quality? Like I went to a

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Speaker 2: kid's birthday party yesterday and everybody was unmasked and me

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Speaker 2: and my boyfriend were masked because we were like, well

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Speaker 2: the air quality, it says it's not great. But also

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Speaker 2: is that just what LA normally is?

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Speaker 1: Like borderline choices are back exactly. Yeah. Yeah.

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Speaker 2: But then also I feel like it's not as isolated

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Speaker 2: because people are able to be around each other and

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Speaker 2: like help each other. There's a lot of mutual aid

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Speaker 2: going on. There's still shows going on to like raise

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Speaker 2: money and stuff, so it is different.

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Speaker 3: Yeah, the thing you're afraid of is not other people,

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Speaker 3: it's the air. So that's kind of.

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Speaker 2: The paranoia is like when do I unpack my stuff?

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Speaker 2: Because like I unpacked my stuff and then it was

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Speaker 2: like the winds are coming back and the fire weather

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Speaker 2: is back, and then you're like, a fuck, am I

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Speaker 2: gonna catch it? The fire? Like you know, So there's

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Speaker 2: that for sure.

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Speaker 3: Our important documents now live in a bag by the door, and.

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Speaker 1: Yeah, I have a going to be You have a

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Speaker 1: goat tub.

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Speaker 3: I have a go tub. It's go tub. All right, Jody,

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Speaker 3: what is something do you think is underrated?

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Speaker 1: Uh? Well, my underrated it relates to something I've been

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Speaker 1: noodling with lately, and I'm curious for.

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Speaker 3: This electric guitar.

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Speaker 1: My underrated is drinking.

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Speaker 3: Uh huh.

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Speaker 1: So I've been thinking the cold No, it's it's related

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Speaker 1: a little too It's related a little too dry January

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Speaker 1: going on all around. And then you know, the Surgeon

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Speaker 1: General recently issued that the sort of warnings on alcohol

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Speaker 1: and basically so like no drinking it's good for you,

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Speaker 1: and or any drinking is bad for you. And then

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Speaker 1: just in general this you know, these kind of stats

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Speaker 1: and just this cultural thing that we all see. I like,

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Speaker 1: drinking has diminished considerably, especially among young people. And I've

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Speaker 1: been thinking of the last couple of weeks about that trend.

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Speaker 1: And on the one hand, I like, you know, I've

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Speaker 1: cut back my drinking a fair amount, and I think

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Speaker 1: like drinking is pretty harmful. But I've also been thinking

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Speaker 1: that maybe that the like decline in drinking might be

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Speaker 1: a symptom of, or a symbol of, like the people

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Speaker 1: called the loneliness epidemic. But like, I really feel like

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Speaker 1: there's a chance that it like young people aren't not

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Speaker 1: drinking because they're like making healthy choices, but because they're

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Speaker 1: at home on screens alone, and I think that is like, yeah,

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Speaker 1: they you know, and so like, I don't know, it's

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Speaker 1: just been this interesting kind of thing I've been trying

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Speaker 1: to puzzle through because there's part of me that's like, yeah,

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Speaker 1: drinking is really harmful, but then this part of me

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Speaker 1: it's like, yeah, we need to go out, like grab

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Speaker 1: a couple of drinks with friends, Like we need more

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Speaker 1: of that. We are very isolated from one another. So

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Speaker 1: I'm just you know.

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Speaker 2: I would also say, like there should be more options.

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Speaker 2: I think things being open longer should be more, like,

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Speaker 2: should have more options like juice bars and coffee places.

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Speaker 2: Like people were talking about how we need more twenty

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Speaker 2: four hour like coffee places or whatever, like where people

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Speaker 2: can go hang out and just like chat and have

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Speaker 2: things be open. I think, like drinking's sanctioned at night,

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Speaker 2: you know, and so those places stay open. But I

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Speaker 2: think if we just had more like what is it

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Speaker 2: called like third third spaces, Yeah, even you know, I

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Speaker 2: think a lot of people do stuff in like parks

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Speaker 2: and things, but they're not always in the best situations

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Speaker 2: or available or whatever. So I agree, Like, I get

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Speaker 2: what you're saying about the loneliness thing. I'm like, we

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Speaker 2: all need. And people were talking about how we don't

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Speaker 2: have enough house parties and then we were like, we

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Speaker 2: don't own houses, Like what are we supposed to do?

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Speaker 3: Yeah? Yeah, but yeah, man, nine years ago, I would

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Speaker 3: have agreed with you so hard on this one. But

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Speaker 3: we should drink more, too hard in fact, And now

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Speaker 3: I don't drink anymore. But h yeah, I agree that.

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Speaker 3: I think I think it's good to have a place

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Speaker 3: something that gets us out. I think I think social

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Speaker 3: isolation is a major problem. Yeah, and it sounds like

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Speaker 3: America's top doctor, the Surgeon General, caught the woke mind

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Speaker 3: virus and needs to be stopped. That's exactly what I do.

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Speaker 3: Just want to say, like, this is too bad.

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Speaker 2: We can't be vaccinated against the pokemon.

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Speaker 3: Oh my god. I mean, listen, I've got a couple

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Speaker 3: of podcasts I'm gonna recommend for you that I kind

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Speaker 3: of function as a vaccine.

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Speaker 2: By the way, who is Joe Rogan? I'm kidding.

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Speaker 3: I will say, I don't think there could be a

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Speaker 3: more New York take that is anti la than you

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Speaker 3: talked to to LA people are more like, yeah, man,

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Speaker 3: if I if I hadn't gotten off A nine years

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Speaker 3: ago and switched over to meditation, I would agree with you.

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Speaker 2: I suggested juice bars.

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Speaker 3: Juice bars probably did suggest juice bars.

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Speaker 2: Another be smoothiet arawak.

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Speaker 3: That's right, that's right. Jody wants something you think is overrated.

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Speaker 1: Gosh overrated. Well, I was gonna I was my overrated

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Speaker 1: was actually weather forecast. I'm back. I'm just hung up

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Speaker 1: on this. That's gonna be my answer. But I think, yeah,

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Speaker 1: and just in general, like all this stuff is weather forecast,

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Speaker 1: smoke forecasts, all this stuff is mostly just winds us up,

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Speaker 1: and you should just got to step outside to find

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Speaker 1: out what it actually feels like, what it really feels like, what.

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Speaker 3: It really feels like. Listen. To do your own research

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Speaker 3: is what is to you.

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Speaker 2: To all of the LA people. Do your own research

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Speaker 2: and decide when to leave based on how close you

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Speaker 2: smell the fire.

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Speaker 1: That's right, that's what That's precisely what I'm saying.

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Speaker 3: All right, let's take a quick break, we'll come back.

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Speaker 3: We'll get through some executive orders. Talk about Elon Musk's

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Speaker 3: Nazi salute. We'll do it all in a moment.

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Speaker 1: We'll be right back.

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Speaker 2: I will not do then salute in a moment, Jack.

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Speaker 3: We'll do it all all. We'll do it, and we're back.

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Speaker 3: Donald Trump is back. Also, I guess this is the

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Speaker 3: first full episode we've done since he was sworn in

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Speaker 3: as the forty seventh President of the United States and

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Speaker 3: immediately did a shock and awe executive order blitz all

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Speaker 3: these terms that are evocative of only good things in history.

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Speaker 3: But you know, this is what was promised by Project

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Speaker 3: twenty twenty five, that we knew it was coming, and

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Speaker 3: yet here it is the straight agenda. That's right. Some

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Speaker 3: of the things that he's done are illegal or at

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Speaker 3: the least are going to face legal pushback. Eighteen states

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Speaker 3: are suing to stop the birthright citizenship order. He's trying

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Speaker 3: to overturn birthright citizenship for people born in the United States.

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Speaker 3: You're not necessarily a citizen if he doesn't want you

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Speaker 3: to be.

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Speaker 2: Okay, But also I'm like crying that it was only

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Speaker 2: eighteen states.

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Speaker 3: Yeah, so far. But yeah, again, we knew that this

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Speaker 3: was coming first.

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Speaker 1: And that's in the constitution, So you know, it's a

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Speaker 1: little hard to undo the constitution.

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Speaker 3: Right, he is just saying no more Constitution. There's no

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Speaker 3: evidence on pushbacks on some of the more striking actions

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Speaker 3: like pardoning all the January sixth rioters. For some reason

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Speaker 3: just keeps coming coming back to me as being like

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Speaker 3: real troubling.

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Speaker 1: Are you just doing the same thing I'm doing, which

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Speaker 1: is like keeping the sort of leaderboard in your head

404
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Speaker 1: of which is spiriting, and it just keeps shuffling like

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Speaker 1: your fatou.

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Speaker 2: I have officially, as of yesterday, become a political I've

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Speaker 2: decided not to think about anything anymore. I'm a lot happier.

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Speaker 3: That's so smart. I love that.

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Speaker 2: So not into politics anymore. I don't know what's going on.

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Speaker 3: Oh my god, have you tried the Haley Biber's movie.

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Speaker 2: Oh my god, I love the Haley bebers movie.

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Speaker 3: It goes really well with choosing to be a political

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Speaker 3: and not thinking at all. Yeah, what's everybody's leader for

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Speaker 3: the most troubling? Uh? You know? Birthright citizenship number one

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Speaker 3: with a bullet For me, it seems like that's going

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Speaker 3: to be really bad and immediately actionable in a way

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Speaker 3: that includes violence and destroying families. For some reason, like

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Speaker 3: the January sixth rioters being like all of them being

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Speaker 3: pardoned at the same time, when you look at some

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Speaker 3: of the you know, deep dives into like the culture

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Speaker 3: that was growing in those prisons and around those prisoners,

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Speaker 3: and when you look at what far right extremism has

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Speaker 3: done over the course of the history of this country,

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Speaker 3: that one seems like significant to me, and not just

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Speaker 3: as like a own but like as like, uh, you know,

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Speaker 3: strategically they're going to do something, They're going to do

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Speaker 3: bad things.

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Speaker 1: On that point. So I was surprised, I gotta be

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Speaker 1: be honest, I was surprised that it was a blanket

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Speaker 1: pardon for all fifteen hundred. I mean, I was that

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Speaker 1: went further than even I expected. But like, how many

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Speaker 1: times have we heard stories from Iraq or Syria where

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Speaker 1: they're like, why is this extremist group all of a sudden,

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Speaker 1: why was there this coupor, Why was this violence? It's like, oh,

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Speaker 1: a hundred prisoners got released, right, all these radicals were

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Speaker 1: in prison and a prison got broken out or collapsed

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Speaker 1: or whatever, Like this is literally you know what happens

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00:22:35,600 --> 00:22:37,280
Speaker 1: Like to your point, I mean, I'm just realizing in

439
00:22:37,359 --> 00:22:39,560
Speaker 1: real time, it's like these groups of people are now

440
00:22:39,680 --> 00:22:42,320
Speaker 1: longer in prison, and then lo and behold a month

441
00:22:42,400 --> 00:22:44,240
Speaker 1: later you have this kind of political violence.

442
00:22:44,280 --> 00:22:46,600
Speaker 2: So that one and you know they've gotten riched in prison,

443
00:22:46,760 --> 00:22:48,760
Speaker 2: so we're even in more trouble.

444
00:22:49,880 --> 00:22:52,760
Speaker 3: They've been warming up their pipes. They have that singing

445
00:22:52,800 --> 00:22:55,680
Speaker 3: performance on that one. Something working out and.

446
00:22:57,280 --> 00:23:00,959
Speaker 1: Yeah, I got to say my leader board. I mean,

447
00:23:00,960 --> 00:23:04,160
Speaker 1: the J six stuff is just really just sort of awful.

448
00:23:04,720 --> 00:23:07,119
Speaker 1: The pulling out of the w A Joe to me

449
00:23:07,520 --> 00:23:12,399
Speaker 1: is just like such a clear I think, like own goal,

450
00:23:12,640 --> 00:23:15,200
Speaker 1: you know, I mean, I get the like performative, owned

451
00:23:15,240 --> 00:23:17,960
Speaker 1: the Libs politics of it, but I just feel like

452
00:23:18,920 --> 00:23:22,280
Speaker 1: there's going to be another pandemic. Watch it's going to

453
00:23:22,800 --> 00:23:25,520
Speaker 1: deeply harm him like that. There was no one who

454
00:23:25,600 --> 00:23:29,679
Speaker 1: was just kind of seeing that is remarkable, But I

455
00:23:29,680 --> 00:23:30,560
Speaker 1: guess what do you expect.

456
00:23:30,880 --> 00:23:33,639
Speaker 2: I'm very concerned about like the health related stuff, and

457
00:23:33,680 --> 00:23:36,600
Speaker 2: given my background and everything, so that's something.

458
00:23:36,720 --> 00:23:39,520
Speaker 3: What is that background again? Because I've stopped including it

459
00:23:39,560 --> 00:23:39,920
Speaker 3: when I.

460
00:23:40,160 --> 00:23:44,840
Speaker 2: You don't need to include it. It's worth noting, is

461
00:23:44,960 --> 00:23:47,960
Speaker 2: that I'm a PhD drop out. That's what I am.

462
00:23:48,320 --> 00:23:50,840
Speaker 2: I'm a biomedical engineer.

463
00:23:50,800 --> 00:23:52,040
Speaker 3: Biomedical engineering.

464
00:23:52,200 --> 00:23:58,720
Speaker 2: But it's fine, and this stuff John right, I'm very concerned.

465
00:23:59,800 --> 00:24:04,199
Speaker 1: I'm very concerned at the lab engineering the next COVID

466
00:24:04,240 --> 00:24:05,400
Speaker 1: had you stayed in that PhD.

467
00:24:05,760 --> 00:24:07,640
Speaker 2: No, I'm not even kidding. The job that I had

468
00:24:07,680 --> 00:24:11,080
Speaker 2: before my PhD was in infectious diseases. We were working

469
00:24:11,480 --> 00:24:17,240
Speaker 2: on a non active memolavirus control to like test to

470
00:24:17,280 --> 00:24:18,960
Speaker 2: make sure people didn't have it because at the time

471
00:24:19,080 --> 00:24:22,479
Speaker 2: that was happening. And then my friends who stayed at

472
00:24:22,480 --> 00:24:25,760
Speaker 2: that job were working on COVID stuff. So like, yeah,

473
00:24:25,760 --> 00:24:27,959
Speaker 2: I would have been involved in that if I had

474
00:24:27,960 --> 00:24:31,560
Speaker 2: stayed at that job, like for several more years. But

475
00:24:31,600 --> 00:24:37,000
Speaker 2: that's like I worked with infectious asas week. I should

476
00:24:37,040 --> 00:24:40,119
Speaker 2: have married. I should have married Hunter, you know, getting

477
00:24:40,320 --> 00:24:41,440
Speaker 2: gotten a pipe parted.

478
00:24:42,200 --> 00:24:44,280
Speaker 3: It's not the first time, but we've suggested that for

479
00:24:44,359 --> 00:24:47,400
Speaker 3: you on this show. Yeah, yeah, you would have been

480
00:24:47,600 --> 00:24:49,440
Speaker 3: out there just trying to make sure that we didn't

481
00:24:49,480 --> 00:24:50,920
Speaker 3: know the truth about ivermectin.

482
00:24:51,560 --> 00:24:51,800
Speaker 1: Yeah.

483
00:24:52,080 --> 00:24:54,440
Speaker 3: Those feel like the top three to me. But I'm

484
00:24:54,480 --> 00:24:58,560
Speaker 3: happy to be overruled. Listeners. Reach out with your faves,

485
00:24:58,800 --> 00:25:01,000
Speaker 3: you know, let's treat it like recommendations.

486
00:25:01,560 --> 00:25:03,720
Speaker 2: Please send us your panic attacks.

487
00:25:04,920 --> 00:25:09,120
Speaker 1: But you know, the legal battles is where the action

488
00:25:09,240 --> 00:25:11,000
Speaker 1: will be over the next couple of months, and there

489
00:25:11,040 --> 00:25:14,959
Speaker 1: have been some legal pushback, and I think, you know,

490
00:25:15,359 --> 00:25:20,400
Speaker 1: think about this day four years ago or eight years ago, right,

491
00:25:20,440 --> 00:25:22,720
Speaker 1: I mean, you know, we were all out there wearing

492
00:25:22,760 --> 00:25:26,359
Speaker 1: our pussy hats and you know, marching in Washington, and

493
00:25:26,400 --> 00:25:29,280
Speaker 1: that's not happening now. There isn't that mass mobilization, but

494
00:25:29,400 --> 00:25:32,800
Speaker 1: I think there is. The legal front is still there,

495
00:25:32,840 --> 00:25:35,480
Speaker 1: and I mean I remember eight years ago. The moment

496
00:25:35,720 --> 00:25:38,280
Speaker 1: to me that most stuck out from the early Trump years,

497
00:25:38,960 --> 00:25:42,159
Speaker 1: of the early Trump days was when there was a

498
00:25:42,280 --> 00:25:45,719
Speaker 1: night at JFK where right after the Muslim van went

499
00:25:45,720 --> 00:25:48,719
Speaker 1: into effect, a bunch of immigration lawyers went to JFK

500
00:25:49,320 --> 00:25:53,720
Speaker 1: and sort of stood on the ground and aided immigrants

501
00:25:53,760 --> 00:25:57,280
Speaker 1: coming into the country. And it was like, to me,

502
00:25:57,440 --> 00:25:59,159
Speaker 1: that was the moment where I was like, Okay, I

503
00:25:59,200 --> 00:26:01,680
Speaker 1: see the sort of on tours of the the quote

504
00:26:01,760 --> 00:26:03,960
Speaker 1: unquote resistance, and I was like, you know, the lawyers

505
00:26:04,000 --> 00:26:06,400
Speaker 1: are going to save us. And I still think that

506
00:26:06,400 --> 00:26:08,679
Speaker 1: that is out there. I don't think we're going to

507
00:26:08,680 --> 00:26:11,679
Speaker 1: see another mass millions of people in the streets, but

508
00:26:11,760 --> 00:26:13,960
Speaker 1: I do think we are still are going to see

509
00:26:14,760 --> 00:26:15,560
Speaker 1: moments like that.

510
00:26:16,200 --> 00:26:18,440
Speaker 3: So it'll be interesting to see if the Supreme Court

511
00:26:18,520 --> 00:26:21,280
Speaker 3: can keep up with his corruption. You know, it seems

512
00:26:21,280 --> 00:26:23,280
Speaker 3: like they want to let him do whatever he wants,

513
00:26:23,280 --> 00:26:26,119
Speaker 3: but like he's just he's moving so fast in so

514
00:26:26,200 --> 00:26:29,720
Speaker 3: many different directions that trouble being like what what do

515
00:26:29,800 --> 00:26:32,760
Speaker 3: we what do we make the laws so he can

516
00:26:32,800 --> 00:26:34,840
Speaker 3: get away with the maximum amount of bullshit.

517
00:26:35,480 --> 00:26:37,560
Speaker 2: I do think like in the last eight years, there

518
00:26:37,600 --> 00:26:39,840
Speaker 2: have been like a lot of people, like you said, Jodi,

519
00:26:39,920 --> 00:26:44,439
Speaker 2: who are who are now lawyers or policymakers who weren't

520
00:26:44,440 --> 00:26:46,399
Speaker 2: in those positions before. Like I know, a lot of

521
00:26:46,440 --> 00:26:50,200
Speaker 2: like scientists who went into like legislation or policy or

522
00:26:50,520 --> 00:26:53,880
Speaker 2: like politics when they weren't originally going to because of him.

523
00:26:54,200 --> 00:26:57,879
Speaker 2: So like hopefully that's has someone into accommodation. Yeah, some

524
00:26:57,920 --> 00:27:00,840
Speaker 2: of us did a favor to science by leaving it,

525
00:27:01,280 --> 00:27:06,000
Speaker 2: and you're welcome. But yeah, so I think like that

526
00:27:06,119 --> 00:27:10,000
Speaker 2: pivot and that incubation period has happened, and like hopefully

527
00:27:10,040 --> 00:27:13,240
Speaker 2: we'll see that in like behind the door, behind the

528
00:27:13,240 --> 00:27:13,880
Speaker 2: scenes more.

529
00:27:14,359 --> 00:27:18,920
Speaker 3: Yeah, all right, So I think the other most striking

530
00:27:19,000 --> 00:27:21,359
Speaker 3: thing from the first couple of days of the Trump

531
00:27:21,760 --> 00:27:26,359
Speaker 3: administration was Elon Musk, among the most powerful people in

532
00:27:26,400 --> 00:27:29,240
Speaker 3: the history of the planet. He's going to have a

533
00:27:29,280 --> 00:27:32,080
Speaker 3: major role in the Trump administration. He's been doing all

534
00:27:32,119 --> 00:27:39,240
Speaker 3: sorts of far right sympathizing and just influencing around the globe.

535
00:27:39,760 --> 00:27:42,440
Speaker 3: And he gave a speech after Trump was sworn in

536
00:27:42,960 --> 00:27:47,720
Speaker 3: that included giving a full on Nazi salute. Like when

537
00:27:47,720 --> 00:27:50,800
Speaker 3: I heard this, I was like, well, we've seen people

538
00:27:51,600 --> 00:27:56,480
Speaker 3: give kind of Nazi salutes before, and then they're able

539
00:27:56,520 --> 00:27:59,800
Speaker 3: to it just like kind of fades away, fades away,

540
00:28:00,000 --> 00:28:01,760
Speaker 3: they're able to be Like I wasn't really.

541
00:28:01,640 --> 00:28:04,160
Speaker 1: Like I seen someone raise their arm at an angle before.

542
00:28:04,240 --> 00:28:09,359
Speaker 3: Yeah. Yeah, but this this is pretty unambiguous. We're gonna

543
00:28:09,480 --> 00:28:12,960
Speaker 3: for the people watching on video, will we'll show it here.

544
00:28:13,560 --> 00:28:18,840
Speaker 3: This is from a New Republic article called did Elon

545
00:28:19,000 --> 00:28:23,240
Speaker 3: Musk just give a Nazi? Seriously? Just give a Nazi salute? Yeah?

546
00:28:23,040 --> 00:28:24,280
Speaker 1: Yeah, Actually is.

547
00:28:24,280 --> 00:28:26,800
Speaker 3: That the elections that come and go. Some some elections

548
00:28:26,800 --> 00:28:30,600
Speaker 3: are you know, important, some or not. But but this one,

549
00:28:31,080 --> 00:28:36,960
Speaker 3: this one, this one really matters. And I just want

550
00:28:37,000 --> 00:28:39,680
Speaker 3: to say thank you for making it happen.

551
00:28:40,160 --> 00:28:40,600
Speaker 5: Thank you.

552
00:28:40,720 --> 00:28:47,400
Speaker 3: Okay, he okay, So for people who are just listening,

553
00:28:47,800 --> 00:28:51,680
Speaker 3: he hits his chest, he like bites his bottom lip

554
00:28:51,720 --> 00:28:53,640
Speaker 3: like he's about to you know, do a push up

555
00:28:53,720 --> 00:28:56,560
Speaker 3: or you know, lift a weight, have another child, to

556
00:28:56,640 --> 00:29:01,440
Speaker 3: have another child, then smacks his uh left chest and

557
00:29:01,520 --> 00:29:04,920
Speaker 3: then gives such a hard Nazi salute that he audibly

558
00:29:05,040 --> 00:29:08,080
Speaker 3: goes like as he's.

559
00:29:07,440 --> 00:29:09,320
Speaker 2: He's and he does it.

560
00:29:10,280 --> 00:29:10,800
Speaker 1: Does it again?

561
00:29:11,160 --> 00:29:12,440
Speaker 3: Yeah, it turns around and if.

562
00:29:12,280 --> 00:29:15,320
Speaker 2: You play them side by side, it showed like you

563
00:29:15,360 --> 00:29:19,800
Speaker 2: can play with Nazi pro uh like protesters or marches

564
00:29:20,000 --> 00:29:23,280
Speaker 2: and him it's like the exact same movement. It's crazy

565
00:29:24,160 --> 00:29:25,800
Speaker 2: like he's been saf snked it up.

566
00:29:25,920 --> 00:29:28,520
Speaker 1: Yeah, yeah, I don't know. I mean, I'm sure we

567
00:29:28,600 --> 00:29:30,800
Speaker 1: all thoughts on this. One of them is to me, like,

568
00:29:31,120 --> 00:29:32,840
Speaker 1: I think a lot of the conversation around this has

569
00:29:32,880 --> 00:29:35,600
Speaker 1: been like, well there's a line there, you know, there's

570
00:29:35,600 --> 00:29:38,719
Speaker 1: a very reasonable line, don't give a Nazi salute, and

571
00:29:38,760 --> 00:29:41,200
Speaker 1: he lost that line. To me, though, the line is

572
00:29:41,200 --> 00:29:43,719
Speaker 1: not don't give a Nazi salute. Maybe is it unreasonable

573
00:29:43,760 --> 00:29:45,880
Speaker 1: to think the line should be don't give something that

574
00:29:45,880 --> 00:29:48,560
Speaker 1: could potentially be interpreted as a Nazi salute? I mean

575
00:29:48,600 --> 00:29:51,160
Speaker 1: the line should actually be a little further further back,

576
00:29:51,520 --> 00:29:55,960
Speaker 1: further back, like that's the lapse of you know, I

577
00:29:56,000 --> 00:29:58,040
Speaker 1: think he intentionally gave that salute. He knew what he

578
00:29:58,120 --> 00:30:00,320
Speaker 1: was doing, but even the lapse of judgment, of not

579
00:30:00,360 --> 00:30:03,960
Speaker 1: being able to recognize that this might be misinterpreted is

580
00:30:04,120 --> 00:30:05,440
Speaker 1: just as bad as anything.

581
00:30:05,800 --> 00:30:10,720
Speaker 3: Yeah, yeah, it's so just this is not a one off.

582
00:30:11,600 --> 00:30:15,160
Speaker 3: So this is from the New Republic article must Just

583
00:30:15,280 --> 00:30:17,600
Speaker 3: one month ago, Musk came out in full support for

584
00:30:17,680 --> 00:30:21,000
Speaker 3: the far right Alternative for Germany Party, which has been

585
00:30:21,080 --> 00:30:24,040
Speaker 3: accused of neo Nazi sympathies. Less than two weeks ago,

586
00:30:24,200 --> 00:30:28,440
Speaker 3: Musk hosted AfD leader Alice Weidel in a livestream on

587
00:30:28,760 --> 00:30:32,040
Speaker 3: x where the pair dismissed Adolf Hitler as a communist.

588
00:30:32,680 --> 00:30:35,400
Speaker 3: Musk has also voiced his support for British neo Nazi

589
00:30:35,440 --> 00:30:39,040
Speaker 3: Tommy Robinson in an attempt to influence politics in that country.

590
00:30:39,480 --> 00:30:43,480
Speaker 3: All these would seem to suggest, I don't know that,

591
00:30:43,640 --> 00:30:48,960
Speaker 3: despite earlier denials, Musk does seem to harbor actual Nazi sympathies.

592
00:30:49,160 --> 00:30:52,560
Speaker 3: And then he did that on the biggest possible scale

593
00:30:52,720 --> 00:30:54,479
Speaker 3: at a time when people are like this guy has

594
00:30:54,520 --> 00:30:57,320
Speaker 3: way too much power in this administration in the world,

595
00:30:57,800 --> 00:31:01,280
Speaker 3: and immediately after the president is sworn in, which like,

596
00:31:01,520 --> 00:31:04,920
Speaker 3: I don't know, I feel like Trump and Elon Musk

597
00:31:05,000 --> 00:31:07,840
Speaker 3: over the past, you know, eight years have sort of

598
00:31:08,280 --> 00:31:11,240
Speaker 3: been one A, one B and like controlling the news

599
00:31:11,240 --> 00:31:13,840
Speaker 3: cycle and having all eyes on them. And there's definitely

600
00:31:13,880 --> 00:31:18,440
Speaker 3: like a yes, my precious like energy to that where

601
00:31:18,440 --> 00:31:21,280
Speaker 3: they like need that shit. And I do wonder if

602
00:31:21,360 --> 00:31:24,880
Speaker 3: this was him knowing like, I gotta go big here

603
00:31:25,040 --> 00:31:27,280
Speaker 3: because everybody's going to be talking about Trump and all

604
00:31:27,320 --> 00:31:31,240
Speaker 3: these executive orders, so I need to do the most

605
00:31:31,440 --> 00:31:35,560
Speaker 3: Nazi thing to get all the eyeballs. So just a

606
00:31:35,600 --> 00:31:36,400
Speaker 3: theory on.

607
00:31:38,680 --> 00:31:42,200
Speaker 2: Grimes is like defending his video game playing abilities.

608
00:31:42,240 --> 00:31:43,680
Speaker 3: What the fuck was that about?

609
00:31:44,440 --> 00:31:48,360
Speaker 2: She's like the father of my child actually is a gamer.

610
00:31:48,400 --> 00:31:51,760
Speaker 2: And then later Elon Musk was like, yeah, I used

611
00:31:51,800 --> 00:31:55,600
Speaker 2: people to whatever you know, and and I can't believe

612
00:31:55,640 --> 00:31:59,480
Speaker 2: I ever listened to her music like she was so

613
00:32:00,200 --> 00:32:01,640
Speaker 2: she was so great when she first came.

614
00:32:01,480 --> 00:32:04,640
Speaker 1: Out to separate the art from them from.

615
00:32:04,440 --> 00:32:09,000
Speaker 2: The Nazi ex wife or ex partner.

616
00:32:08,720 --> 00:32:11,360
Speaker 3: What the fuck was that about? Exactly? It was that

617
00:32:11,480 --> 00:32:15,920
Speaker 3: he was particularlyked.

618
00:32:16,040 --> 00:32:19,720
Speaker 2: He was like ranked top seven, which is like you

619
00:32:19,880 --> 00:32:23,160
Speaker 2: cannot like those people if they're playing on their own,

620
00:32:23,600 --> 00:32:26,440
Speaker 2: they cannot like spend any amount of time away from

621
00:32:26,440 --> 00:32:28,680
Speaker 2: their playing. For like eighteen hours a day like to

622
00:32:28,760 --> 00:32:31,680
Speaker 2: get that ranking, because it's so incredibly hard, especially on

623
00:32:31,720 --> 00:32:35,240
Speaker 2: that specific video game from what I've heard. And then

624
00:32:35,560 --> 00:32:37,480
Speaker 2: so and then when he went in and like live

625
00:32:37,520 --> 00:32:41,400
Speaker 2: streamed him playing, there were sections that were like Elon's maps,

626
00:32:41,440 --> 00:32:44,280
Speaker 2: and like, why would you name your own maps Elon's

627
00:32:44,280 --> 00:32:46,680
Speaker 2: maps unless somebody was logging into your account and playing

628
00:32:46,720 --> 00:32:48,800
Speaker 2: for you and they're not even called that. He didn't

629
00:32:48,840 --> 00:32:51,600
Speaker 2: understand how to use them, so people were like, like,

630
00:32:51,760 --> 00:32:56,400
Speaker 2: he he wants the approval of like gamer in cel,

631
00:32:56,680 --> 00:32:58,800
Speaker 2: like all of the like all of these different groups

632
00:32:58,800 --> 00:33:01,680
Speaker 2: that he thinks are cool, and so some of them

633
00:33:01,880 --> 00:33:04,480
Speaker 2: were like infighting against him, like gamers that he pays

634
00:33:04,480 --> 00:33:09,040
Speaker 2: attention to on Twitter and all these other things. Like

635
00:33:09,400 --> 00:33:12,720
Speaker 2: they were like, oh, he's like asthmin Gold is one

636
00:33:12,760 --> 00:33:14,640
Speaker 2: of the Twitch streamers who has like kind of right

637
00:33:14,680 --> 00:33:18,440
Speaker 2: wing ideas and was also like rebelling against him. So

638
00:33:18,480 --> 00:33:22,760
Speaker 2: it was this whole thing, like a gamer infighting right

639
00:33:22,800 --> 00:33:25,680
Speaker 2: wing thing where people were like your fucking loser, dude,

640
00:33:26,000 --> 00:33:29,920
Speaker 2: And then Grimes defended him, and then he was like,

641
00:33:30,320 --> 00:33:33,200
Speaker 2: oh no, yeah, I do use some people to up

642
00:33:33,240 --> 00:33:36,200
Speaker 2: my scores. He's like using other people's labor to make

643
00:33:36,240 --> 00:33:37,040
Speaker 2: himself look better.

644
00:33:37,080 --> 00:33:40,320
Speaker 3: Basically, that doesn't sound like Elon Musk. I'm not sure

645
00:33:40,320 --> 00:33:42,560
Speaker 3: if I can believe this. I'm sitting to say, with

646
00:33:42,600 --> 00:33:45,600
Speaker 3: Grimes using other people's labor to make himself look more brilliant.

647
00:33:45,760 --> 00:33:48,040
Speaker 1: Yeah, can I Can I float a theory to you

648
00:33:48,120 --> 00:33:50,600
Speaker 1: or a question to you? Yes, that actually relates to

649
00:33:50,720 --> 00:33:53,200
Speaker 1: I think the video game thing and the Nazi salute

650
00:33:53,240 --> 00:33:56,280
Speaker 1: and what we saw, you know, on Monday in Washington.

651
00:33:56,320 --> 00:34:00,200
Speaker 1: But this window. One thing I've been thinking about is

652
00:34:00,440 --> 00:34:03,520
Speaker 1: I wonder if the window between the election and this

653
00:34:03,600 --> 00:34:08,520
Speaker 1: week was the kind of pinnacle, the peak of kind

654
00:34:08,560 --> 00:34:14,839
Speaker 1: of the proto fascist tech elite having cultural cachet, and

655
00:34:14,880 --> 00:34:17,480
Speaker 1: like that was the window on which Elon could feel

656
00:34:17,480 --> 00:34:19,960
Speaker 1: that he was the coolest person in the world. And

657
00:34:20,080 --> 00:34:22,719
Speaker 1: I wonder, I genuinely wonder, you know, this isn't just

658
00:34:22,760 --> 00:34:26,319
Speaker 1: hopeful that whether like we just saw the peak of

659
00:34:26,360 --> 00:34:29,319
Speaker 1: that and that maybe the Nazi salute was going a

660
00:34:29,360 --> 00:34:32,600
Speaker 1: little too far, or that maybe now that there's actually

661
00:34:32,600 --> 00:34:34,799
Speaker 1: going to be some sort of policy and some sort

662
00:34:34,800 --> 00:34:36,840
Speaker 1: of implementation of this stuff. And I think it applies

663
00:34:36,840 --> 00:34:39,400
Speaker 1: to Trump too, that like what Trump really wanted out

664
00:34:39,440 --> 00:34:42,279
Speaker 1: of the presidency, he got on Monday. He wanted to

665
00:34:42,320 --> 00:34:44,879
Speaker 1: be there signing a bunch of stuff, acting like a king,

666
00:34:45,000 --> 00:34:49,080
Speaker 1: getting a lot of agulation. And now it's just downslope

667
00:34:49,239 --> 00:34:51,160
Speaker 1: from here. And so I don't know, maybe I'm wrong,

668
00:34:51,160 --> 00:34:53,360
Speaker 1: but I'm kind of wonder if we'll look back and say,

669
00:34:53,440 --> 00:34:55,920
Speaker 1: you know what that was the they touched the hot stove,

670
00:34:55,960 --> 00:34:58,680
Speaker 1: they flew too close to the sun up until this

671
00:34:58,760 --> 00:34:59,480
Speaker 1: past Monday.

672
00:35:00,080 --> 00:35:01,799
Speaker 2: I would hope so, But I feel like they were

673
00:35:01,840 --> 00:35:05,080
Speaker 2: almost like more industrious during his four years than like

674
00:35:05,440 --> 00:35:09,440
Speaker 2: Biden's administration was in like achieving their so called agenda points,

675
00:35:09,520 --> 00:35:09,680
Speaker 2: do you.

676
00:35:09,680 --> 00:35:10,200
Speaker 3: Know what I mean?

677
00:35:10,880 --> 00:35:13,480
Speaker 2: Like, I don't like, I mean, it was chaotic, but

678
00:35:13,560 --> 00:35:16,239
Speaker 2: I feel like that was part of their intention. So

679
00:35:16,440 --> 00:35:18,719
Speaker 2: I would hope it's the peak, but I think we

680
00:35:18,760 --> 00:35:20,359
Speaker 2: should prepare for it not being.

681
00:35:20,800 --> 00:35:22,719
Speaker 1: Yeah, and I'm mostly talking from like a cultural sense,

682
00:35:22,719 --> 00:35:25,440
Speaker 1: and obviously that all sorts of policy ramifications people will

683
00:35:25,480 --> 00:35:29,080
Speaker 1: be in genuine harm. But you know, these worlds are

684
00:35:29,160 --> 00:35:30,480
Speaker 1: are very connected, you know.

685
00:35:30,800 --> 00:35:33,440
Speaker 3: Yeah, I was trying to like talk about this and

686
00:35:33,440 --> 00:35:37,080
Speaker 3: failing yesterday. I'm having a hard time getting my head

687
00:35:37,080 --> 00:35:41,840
Speaker 3: around this cultural moment because, yeah, I would like for

688
00:35:41,880 --> 00:35:44,520
Speaker 3: that to be the case, that everybody sees that and

689
00:35:44,760 --> 00:35:48,320
Speaker 3: like this is the worst things get. But there also

690
00:35:48,480 --> 00:35:52,520
Speaker 3: feels like there's just this America loves a winner type thing,

691
00:35:52,840 --> 00:35:59,120
Speaker 3: and that there's also this America has a mind boggling

692
00:35:59,160 --> 00:36:03,680
Speaker 3: blind spot for how influential wealth is and capital is

693
00:36:03,880 --> 00:36:07,480
Speaker 3: in this country, and now that all the capital seems

694
00:36:07,480 --> 00:36:10,400
Speaker 3: to be getting in line with this vision, I feel

695
00:36:10,400 --> 00:36:14,640
Speaker 3: like we're in a really dangerous place where, like, I

696
00:36:14,640 --> 00:36:18,600
Speaker 3: don't know who applies the breaks at this point to this.

697
00:36:19,160 --> 00:36:22,480
Speaker 1: And the media environment is so broken that like, yeah,

698
00:36:22,520 --> 00:36:24,640
Speaker 1: there may be people who will just never see Elon

699
00:36:24,719 --> 00:36:28,359
Speaker 1: Musk give that salute, even people who would think he's

700
00:36:28,400 --> 00:36:30,200
Speaker 1: a cool guy but then would see that and be like, whoa,

701
00:36:30,200 --> 00:36:32,520
Speaker 1: what are you up to? Like they will just literally

702
00:36:32,560 --> 00:36:36,759
Speaker 1: never see it. Yeah, I don't know how that. Yeah,

703
00:36:36,960 --> 00:36:38,000
Speaker 1: yeah it's true.

704
00:36:38,280 --> 00:36:39,920
Speaker 3: Let's take a quick break, we'll come back. We'll talk

705
00:36:39,960 --> 00:36:43,840
Speaker 3: about who some people who are interpreting that salute in

706
00:36:44,200 --> 00:36:58,880
Speaker 3: various ways, and we're back and just staying on the

707
00:36:58,880 --> 00:37:01,640
Speaker 3: most powerful person in the world openly giving a Nazi

708
00:37:01,680 --> 00:37:05,520
Speaker 3: salute for if you'll indulge us for a few minutes here,

709
00:37:05,560 --> 00:37:09,440
Speaker 3: For some reason, this seems important. So maybe one of

710
00:37:09,440 --> 00:37:12,799
Speaker 3: the most eyebrow raising defenses of his salute came from

711
00:37:12,840 --> 00:37:16,560
Speaker 3: the Anti Defamation League, who tweeted that it was merely

712
00:37:16,800 --> 00:37:20,680
Speaker 3: a quote awkward gesture and we should all cut him

713
00:37:20,719 --> 00:37:24,680
Speaker 3: some slack during this quote delicate moment, which I think

714
00:37:24,800 --> 00:37:28,120
Speaker 3: seemed to shock a lot of people that the ADL

715
00:37:28,320 --> 00:37:32,920
Speaker 3: was defending a literal Nazi salute there, you know, seemed

716
00:37:32,960 --> 00:37:38,400
Speaker 3: to be I don't know, their reputation is pretty significantly

717
00:37:38,400 --> 00:37:44,040
Speaker 3: out of line with what their actual work has been forever,

718
00:37:44,520 --> 00:37:49,080
Speaker 3: but especially in the recent years. We've mentioned before that

719
00:37:49,160 --> 00:37:53,440
Speaker 3: it was founded to defend Israel, not really fight bigotry,

720
00:37:53,960 --> 00:37:58,480
Speaker 3: and the fact that they run a program that sends

721
00:37:58,600 --> 00:38:02,720
Speaker 3: US cops to train in Israel should probably tell you something.

722
00:38:02,880 --> 00:38:05,919
Speaker 3: That's something that we've covered before. A delegation of top

723
00:38:05,960 --> 00:38:09,759
Speaker 3: American law enforcement officers is in Israel. This is from

724
00:38:09,760 --> 00:38:12,800
Speaker 3: a Intercept article is in Israel for the ADL's National

725
00:38:12,840 --> 00:38:17,600
Speaker 3: counter Terrorism Seminar, which includes training on topics such as

726
00:38:17,719 --> 00:38:20,200
Speaker 3: leadership in a time of terror and balancing the fight

727
00:38:20,280 --> 00:38:25,080
Speaker 3: against crime and terrorism. So yeah, the current executive director

728
00:38:25,160 --> 00:38:29,920
Speaker 3: recently compared the Kafia to the Swastika, has repeatedly aligned

729
00:38:30,000 --> 00:38:34,480
Speaker 3: the organization with the Trump administration and refused to call

730
00:38:34,560 --> 00:38:38,399
Speaker 3: out the Trump administration's playtant hate speech. I will say

731
00:38:38,880 --> 00:38:42,120
Speaker 3: one group that is calling it a Nazi salutor does

732
00:38:42,160 --> 00:38:45,799
Speaker 3: seem to be like, hmm, that looked like that's what

733
00:38:45,840 --> 00:38:51,000
Speaker 3: we thought it was, right. Are actual Nazis? Christopher Pohlhouse,

734
00:38:51,200 --> 00:38:54,640
Speaker 3: the leader of the notorious neo Nazi group Blood Tribe,

735
00:38:55,400 --> 00:38:59,120
Speaker 3: posted the clip of his salute on telegram with a

736
00:38:59,200 --> 00:39:03,440
Speaker 3: lightning bold and the caption I don't care if this

737
00:39:03,600 --> 00:39:06,080
Speaker 3: was a mistake. I'm going to enjoy the tears over it.

738
00:39:06,400 --> 00:39:08,319
Speaker 3: So that seems like he might be like, oh, I

739
00:39:08,320 --> 00:39:10,680
Speaker 3: don't know, did he mean to Who knows. Another neo

740
00:39:10,760 --> 00:39:14,600
Speaker 3: Nazi leader, Christopher Hood, who founded the New England Race

741
00:39:14,640 --> 00:39:19,440
Speaker 3: Separatist movement nc NSC one thirty one, one of the

742
00:39:19,520 --> 00:39:23,520
Speaker 3: less popular CBS crime dramas, also posted the clip to

743
00:39:23,600 --> 00:39:27,800
Speaker 3: telegram with themog exclamation point, question mark and smiley face.

744
00:39:28,400 --> 00:39:31,120
Speaker 3: There's yeah, there's a bunch of it like. One of

745
00:39:31,120 --> 00:39:33,560
Speaker 3: them shared the clip with the caption incredible things are

746
00:39:33,560 --> 00:39:35,359
Speaker 3: happening already lmaoh.

747
00:39:36,160 --> 00:39:39,879
Speaker 2: And okay he's race separatists. No one wants to hang

748
00:39:39,880 --> 00:39:43,160
Speaker 2: out with you anyways. Okay, nobody is trying to mingle

749
00:39:43,239 --> 00:39:46,279
Speaker 2: with you at a fucking happy hour, right, so don't

750
00:39:46,320 --> 00:39:46,960
Speaker 2: worry about it.

751
00:39:47,280 --> 00:39:50,640
Speaker 3: Yeah, another self described deth no nationalists and anti so

752
00:39:50,719 --> 00:39:53,480
Speaker 3: that might share the clip in a post, writing, Okay,

753
00:39:53,640 --> 00:39:57,719
Speaker 3: maybe woke really is dead, guys, am I right, got one,

754
00:39:58,200 --> 00:39:59,200
Speaker 3: we got one.

755
00:40:00,160 --> 00:40:04,200
Speaker 1: There's anti woke and then there's there's that. But wait

756
00:40:04,239 --> 00:40:10,600
Speaker 1: with the ADLU is it coherent to their politics to

757
00:40:12,480 --> 00:40:16,279
Speaker 1: not call this out or is it boot licking? Is

758
00:40:16,320 --> 00:40:17,920
Speaker 1: it sucking up to power and wealth?

759
00:40:18,440 --> 00:40:19,160
Speaker 2: I think it's both.

760
00:40:20,320 --> 00:40:21,600
Speaker 3: Yeah, I think.

761
00:40:21,440 --> 00:40:24,279
Speaker 2: It's they're going wherever Israel is propped up.

762
00:40:26,160 --> 00:40:26,520
Speaker 3: And so.

763
00:40:28,040 --> 00:40:30,880
Speaker 2: I think like, given the relationship between Trump and then

764
00:40:31,040 --> 00:40:35,080
Speaker 2: Yahoo and like what Trump has said or intends to do,

765
00:40:35,160 --> 00:40:38,600
Speaker 2: I think that aligns with their their goals. And then

766
00:40:38,600 --> 00:40:41,520
Speaker 2: I also think, yeah, everybody is falling in line right now.

767
00:40:42,080 --> 00:40:45,160
Speaker 3: Yeah, it seems to be kind of in line with

768
00:40:46,200 --> 00:40:50,640
Speaker 3: they if they are not really against defamation as much

769
00:40:50,680 --> 00:40:54,360
Speaker 3: as you know, involved in a political cause, they are

770
00:40:54,400 --> 00:40:57,840
Speaker 3: like a lot you know, like TikTok and other you

771
00:40:57,880 --> 00:41:01,480
Speaker 3: know organizations that are all just trying to you know,

772
00:41:01,600 --> 00:41:05,439
Speaker 3: Donald Trump is a fairly simple instrument to operate where

773
00:41:05,480 --> 00:41:08,480
Speaker 3: you just like, say, do you agree with him and

774
00:41:08,520 --> 00:41:12,279
Speaker 3: flatter him and do you know, just display loyalty. He's

775
00:41:12,320 --> 00:41:13,719
Speaker 3: like a.

776
00:41:13,120 --> 00:41:15,040
Speaker 1: Wire a couple mil into the bank account.

777
00:41:15,040 --> 00:41:18,080
Speaker 3: But yeah, exactly, buy a bunch of his meme coins

778
00:41:18,480 --> 00:41:20,800
Speaker 3: so that he becomes even richer.

779
00:41:21,560 --> 00:41:23,319
Speaker 1: I don't know if this means anything, but I checked

780
00:41:23,360 --> 00:41:26,840
Speaker 1: the Fox News website and the only mention of Musk's

781
00:41:26,880 --> 00:41:31,120
Speaker 1: salute on that site was a write up of AOC

782
00:41:31,920 --> 00:41:36,120
Speaker 1: pushing back on the ADL and saying, you know, like,

783
00:41:36,320 --> 00:41:37,960
Speaker 1: what are we doing here? Folks? This was clearly we

784
00:41:38,000 --> 00:41:40,120
Speaker 1: all know what this was, Like, how can you possibly

785
00:41:40,280 --> 00:41:44,319
Speaker 1: call for understanding in this moment? Which to me, you know,

786
00:41:45,120 --> 00:41:47,319
Speaker 1: I don't know. It's interesting to me that that's the

787
00:41:47,320 --> 00:41:50,239
Speaker 1: one thing that got attention, and I think it shows like, huh,

788
00:41:50,239 --> 00:41:54,480
Speaker 1: maybe like actually taking a stand gets people's attention, and

789
00:41:54,600 --> 00:41:56,600
Speaker 1: like the language of the right has been that for

790
00:41:56,640 --> 00:41:59,360
Speaker 1: the last eight ten years, and AOC knows how to

791
00:41:59,360 --> 00:42:01,560
Speaker 1: play that game. And I don't know, maybe I'm overreading it,

792
00:42:01,600 --> 00:42:04,520
Speaker 1: But the only mention on Fox News was in this

793
00:42:04,600 --> 00:42:06,800
Speaker 1: moment where someone actually like clapped back.

794
00:42:07,200 --> 00:42:09,680
Speaker 2: Yeah, do you think though that they're well, I'm not sure.

795
00:42:09,719 --> 00:42:11,520
Speaker 2: I don't know the language of the article. You're talking

796
00:42:11,600 --> 00:42:13,719
Speaker 2: about Do you think that they're like putting her out

797
00:42:13,760 --> 00:42:16,680
Speaker 2: there as chum so that people get distracted because she's

798
00:42:16,680 --> 00:42:18,440
Speaker 2: so incendiary to the right.

799
00:42:19,000 --> 00:42:22,480
Speaker 1: A little bit though, I I yeah, I mean sure, yeah,

800
00:42:22,480 --> 00:42:24,480
Speaker 1: I think AOC is going to get attention no matter what.

801
00:42:24,600 --> 00:42:27,080
Speaker 1: But like that's the game we're playing here, right, Yeah.

802
00:42:27,080 --> 00:42:30,719
Speaker 1: I don't think AOC cares if she's all over Fox

803
00:42:30,760 --> 00:42:32,200
Speaker 1: News and people are talking shit about her.

804
00:42:32,560 --> 00:42:35,840
Speaker 2: Yeah, yeah, I mean like sometimes I just feel like

805
00:42:35,880 --> 00:42:38,840
Speaker 2: they use people that like that are almost like trigger

806
00:42:38,880 --> 00:42:41,520
Speaker 2: words to the right just to distract from the actual

807
00:42:42,120 --> 00:42:44,719
Speaker 2: what like her putting her as a shield in front

808
00:42:44,719 --> 00:42:46,680
Speaker 2: of musk kind of like look at her saying this

809
00:42:46,719 --> 00:42:49,800
Speaker 2: stuff about the ADL rather than her points are valid.

810
00:42:49,920 --> 00:42:52,399
Speaker 1: Oh, it's certainly like a third order story, right, if

811
00:42:52,440 --> 00:42:55,520
Speaker 1: I'm covering the actual thing, it's like refracted through this

812
00:42:55,719 --> 00:42:57,319
Speaker 1: now spac Yeah, but yeah, you know.

813
00:42:57,880 --> 00:43:00,720
Speaker 3: Yeah, just a couple more quotes from a people weighing

814
00:43:00,760 --> 00:43:04,560
Speaker 3: in here. The Proud Ohio chapter posted to a clip

815
00:43:04,600 --> 00:43:08,200
Speaker 3: of the month video to telegram with the text, hail Trump.

816
00:43:08,360 --> 00:43:09,120
Speaker 3: They just got.

817
00:43:09,000 --> 00:43:12,760
Speaker 1: Worse how they went having your Google doct right now?

818
00:43:12,920 --> 00:43:14,280
Speaker 2: Just the ones he got in his email.

819
00:43:14,840 --> 00:43:17,279
Speaker 3: Yeah, I'm just scrolling through my inbox here.

820
00:43:17,360 --> 00:43:21,160
Speaker 2: So I fucking hate that there's like Proud Boys chapter Ohio.

821
00:43:21,160 --> 00:43:23,399
Speaker 2: First of all, Ohio isn't real and we all know that.

822
00:43:23,719 --> 00:43:29,800
Speaker 2: And second of all, New York, Yeah, Ohio, that's a

823
00:43:29,840 --> 00:43:32,759
Speaker 2: Twitter thing. Everybody jokes about Ohio not being real. But

824
00:43:33,040 --> 00:43:35,040
Speaker 2: second of all, like, why do they I hate that

825
00:43:35,080 --> 00:43:37,640
Speaker 2: they're so organized? I hate that they have such structure.

826
00:43:37,719 --> 00:43:39,680
Speaker 2: They have like a secretary taking notes on how many

827
00:43:39,680 --> 00:43:41,160
Speaker 2: times they say like slurs?

828
00:43:42,200 --> 00:43:45,640
Speaker 3: Right? All right, should we talk about primates peeing in groups?

829
00:43:45,880 --> 00:43:47,760
Speaker 3: Would that? Would that be a good palate cleanser?

830
00:43:48,560 --> 00:43:54,719
Speaker 2: This one's for the girlies, ladies, right, yes, yes.

831
00:43:54,840 --> 00:44:01,200
Speaker 3: Since time immemorial, men have been wondering this question. Why

832
00:44:01,200 --> 00:44:04,319
Speaker 3: do they keep like getting up and trying to get

833
00:44:04,320 --> 00:44:05,880
Speaker 3: away from us to talk.

834
00:44:05,760 --> 00:44:08,600
Speaker 2: Shit about you dude, to see if we need protection?

835
00:44:10,400 --> 00:44:11,799
Speaker 3: Everything cool here, Everything cool?

836
00:44:12,040 --> 00:44:13,000
Speaker 2: That guy wasn't weird?

837
00:44:13,120 --> 00:44:13,319
Speaker 5: Was he?

838
00:44:14,680 --> 00:44:14,799
Speaker 3: All?

839
00:44:14,920 --> 00:44:15,080
Speaker 1: Right?

840
00:44:15,680 --> 00:44:20,560
Speaker 3: So? Scientists at Kyoto University recently discovered that peeing is

841
00:44:20,560 --> 00:44:25,800
Speaker 3: seemingly contagious amongst chimpanzees. They watched six hundred hours of

842
00:44:25,840 --> 00:44:32,360
Speaker 3: footage of captive chimps at the Kumamoto Sanctuary, which captured

843
00:44:32,719 --> 00:44:36,720
Speaker 3: more than one thousand three hundred and twenty eight urination events.

844
00:44:37,960 --> 00:44:42,319
Speaker 3: I have a slurpee, that's right. Do slurpees make you pay?

845
00:44:42,800 --> 00:44:45,920
Speaker 2: I don't know, okay, I'm just trying to think of

846
00:44:45,960 --> 00:44:46,920
Speaker 2: some big drink.

847
00:44:47,160 --> 00:44:51,839
Speaker 3: Big drink, big old slurpee, big drink. They found that

848
00:44:51,920 --> 00:44:54,920
Speaker 3: when one chip decided to pee, others would often follow suit,

849
00:44:55,360 --> 00:44:58,160
Speaker 3: which is not unlike humans. Our decision to urinate is

850
00:44:58,200 --> 00:45:00,719
Speaker 3: influenced by social contexts that lead us to your innate

851
00:45:00,800 --> 00:45:05,799
Speaker 3: simultaneously with others. This is usually something that we talk

852
00:45:05,840 --> 00:45:10,520
Speaker 3: about with the context of sneezing, like that yawning is

853
00:45:10,560 --> 00:45:16,880
Speaker 3: the one. Yes, sneezing, I'm like, oh good idea. In

854
00:45:16,920 --> 00:45:19,960
Speaker 3: the context of yawning that like yawns are contagious and

855
00:45:20,400 --> 00:45:23,320
Speaker 3: even though they feel like a thing that our body

856
00:45:23,400 --> 00:45:26,320
Speaker 3: is forcing us to do, it was like, no, it's

857
00:45:26,640 --> 00:45:30,840
Speaker 3: it's our brain. We're just we're silly. We will just

858
00:45:30,880 --> 00:45:34,840
Speaker 3: do whatever everybody else is doing. But yeah, like with

859
00:45:35,000 --> 00:45:38,920
Speaker 3: going to the bathroom, it does feel so like if

860
00:45:38,920 --> 00:45:42,040
Speaker 3: you're at the end of a long road trip and

861
00:45:42,560 --> 00:45:45,280
Speaker 3: like suddenly you get to your front door and you're like, wow,

862
00:45:45,320 --> 00:45:48,040
Speaker 3: I really had to pee that whole time, But like

863
00:45:48,160 --> 00:45:51,759
Speaker 3: somehow your brain you're like super ego. Like all of

864
00:45:51,800 --> 00:45:57,000
Speaker 3: your you know, conscious consciousness, scaffolding has like kept that

865
00:45:57,120 --> 00:46:00,800
Speaker 3: reality suppressed from you. So I'm not sure shocked that

866
00:46:00,960 --> 00:46:06,600
Speaker 3: we're learning that this is like highly contagious and socially defined,

867
00:46:06,920 --> 00:46:08,600
Speaker 3: but it's it's just like.

868
00:46:08,800 --> 00:46:14,160
Speaker 2: That's like when toddlers are in emergency situations, they fall asleep,

869
00:46:14,560 --> 00:46:16,879
Speaker 2: Like it's an evolutionary thing for them to like fall

870
00:46:16,920 --> 00:46:20,279
Speaker 2: asleep just to be quiet, to help their families or whatever.

871
00:46:20,560 --> 00:46:21,920
Speaker 1: Toddler never learned that one.

872
00:46:22,120 --> 00:46:24,839
Speaker 2: No, you're like trying to recreate emergencies just to get

873
00:46:24,880 --> 00:46:25,280
Speaker 2: a break.

874
00:46:25,600 --> 00:46:30,040
Speaker 3: You're like, oh, no, a robber my toddler now six

875
00:46:30,120 --> 00:46:35,839
Speaker 3: year old, but he was evolutionarily designed to create new emergencies. Yeah,

876
00:46:35,880 --> 00:46:38,040
Speaker 3: when an emergency, that's fair.

877
00:46:38,280 --> 00:46:43,480
Speaker 1: My daughter, when she was like three four would develop

878
00:46:43,520 --> 00:46:45,239
Speaker 1: this thing where she would talk about if she needs

879
00:46:45,520 --> 00:46:47,880
Speaker 1: to pee, and I was like, like, we really can't,

880
00:46:48,239 --> 00:46:50,880
Speaker 1: like right now, you know, that would be very inconvenient.

881
00:46:51,080 --> 00:46:53,520
Speaker 1: She'll go she goes, okay, I'll just do the trick,

882
00:46:53,960 --> 00:46:55,919
Speaker 1: and I'm like and for a while I was like, great, okay,

883
00:46:55,920 --> 00:46:57,520
Speaker 1: you're doing the trick. And then after a while I

884
00:46:57,520 --> 00:46:59,000
Speaker 1: was like, wait a minute, what's the trick. She's just

885
00:46:59,000 --> 00:47:01,880
Speaker 1: like I just decide I don't need to pay anymore.

886
00:47:02,080 --> 00:47:04,600
Speaker 1: Like my god, I mean, the mind over matter is incredible,

887
00:47:04,600 --> 00:47:06,480
Speaker 1: but yeah, she's just she just developed her own trick

888
00:47:06,480 --> 00:47:08,040
Speaker 1: where she just doesn't need to go to the bathroom.

889
00:47:08,320 --> 00:47:10,680
Speaker 1: Which made me a question, which made me question whether

890
00:47:10,680 --> 00:47:12,279
Speaker 1: she ever really needed to go to the bathroom. And

891
00:47:12,280 --> 00:47:14,439
Speaker 1: then I think that gets into this sort of yeah,

892
00:47:14,840 --> 00:47:17,600
Speaker 1: sociological element to this, which is she she likes a

893
00:47:17,640 --> 00:47:19,800
Speaker 1: trip to the bathroom or you know whatever.

894
00:47:19,880 --> 00:47:24,239
Speaker 2: Jody believe little women, Okay when they say they have

895
00:47:24,280 --> 00:47:26,080
Speaker 2: a trick to just not have to pay anymore.

896
00:47:26,440 --> 00:47:29,960
Speaker 3: This one trick that doctors don't want you to make

897
00:47:30,000 --> 00:47:31,600
Speaker 3: it so you never have to go to the bath

898
00:47:31,880 --> 00:47:32,600
Speaker 3: just do it.

899
00:47:32,600 --> 00:47:33,640
Speaker 2: It's the Nike logo.

900
00:47:33,960 --> 00:47:36,839
Speaker 3: I do like to sometimes, you know, take a little

901
00:47:36,880 --> 00:47:38,560
Speaker 3: stroll to the bathroom even if I don't have to

902
00:47:38,600 --> 00:47:41,000
Speaker 3: go too bad, and like to see what the bathroom

903
00:47:41,040 --> 00:47:47,960
Speaker 3: of a given restaurant is. The legs. Yeah, lighting, but

904
00:47:48,120 --> 00:47:50,360
Speaker 3: they have one of those weird sinks that like doesn't

905
00:47:50,400 --> 00:47:53,799
Speaker 3: really have a basin. You know, have you ever seen those?

906
00:47:54,040 --> 00:47:56,879
Speaker 3: Those are starting to be a thing. Oh, like Kim

907
00:47:56,920 --> 00:48:00,279
Speaker 3: Kardashi and Kanye did you ever see the picture of

908
00:48:00,280 --> 00:48:02,680
Speaker 3: the inside of their kitchen where it's like a faucet

909
00:48:02,760 --> 00:48:06,640
Speaker 3: on a countertop. Yeah, like a little line.

910
00:48:06,640 --> 00:48:08,120
Speaker 2: And the water runs off into it.

911
00:48:08,239 --> 00:48:08,799
Speaker 3: Yeah.

912
00:48:08,920 --> 00:48:11,000
Speaker 2: I will say like going to the bathroom. I was

913
00:48:11,040 --> 00:48:13,080
Speaker 2: like kind of joking earlier, but it also is like

914
00:48:13,120 --> 00:48:14,879
Speaker 2: a really great place to check in with women. I've

915
00:48:14,920 --> 00:48:19,360
Speaker 2: made so many friendships in bathrooms that have been like lasting, honestly,

916
00:48:19,840 --> 00:48:22,680
Speaker 2: some of the first when I wasn't in stand up

917
00:48:22,880 --> 00:48:25,400
Speaker 2: I went to sketch Fest with my boyfriend at the

918
00:48:25,440 --> 00:48:28,000
Speaker 2: time who was doing improv, and I met so many

919
00:48:28,080 --> 00:48:29,759
Speaker 2: stand ups, so many female stand ups, and we were

920
00:48:29,800 --> 00:48:32,200
Speaker 2: just like lounging in this nice ass bathroom and we

921
00:48:32,200 --> 00:48:34,560
Speaker 2: were bonding and I kept in touch with them and

922
00:48:34,680 --> 00:48:37,400
Speaker 2: like asked them stand up advice and everything like later on.

923
00:48:37,960 --> 00:48:40,800
Speaker 2: But it really, like I think it really is for women,

924
00:48:40,880 --> 00:48:43,200
Speaker 2: like a great check in and a place of like

925
00:48:43,280 --> 00:48:46,759
Speaker 2: comfort and like support for each other. It's beautiful.

926
00:48:47,200 --> 00:48:50,319
Speaker 1: Wait, take us take us inside this back because Jack

927
00:48:50,320 --> 00:48:51,880
Speaker 1: will do that, but I won't. I won't go. I

928
00:48:51,920 --> 00:48:53,520
Speaker 1: won't just go parsing again to check it out.

929
00:48:53,680 --> 00:48:55,680
Speaker 2: Yeah. Yeah, Jack's always going into him's restaurant.

930
00:48:55,680 --> 00:48:58,360
Speaker 3: I'm always going to check in with women at the restaurant.

931
00:48:58,400 --> 00:49:02,840
Speaker 1: Yeah, that does the chat and the bonding happening in

932
00:49:03,880 --> 00:49:05,880
Speaker 1: can you as you're peeing is there?

933
00:49:06,600 --> 00:49:10,319
Speaker 2: It just depends. Often there are lines, which you know

934
00:49:10,520 --> 00:49:14,360
Speaker 2: that's an issue, Yeah, which like we should have more stalls,

935
00:49:14,360 --> 00:49:18,480
Speaker 2: we should figure out whatever, non binary bathrooms, but not

936
00:49:18,520 --> 00:49:24,120
Speaker 2: in America. Yeah, but we sometimes we'll make we'll chit

937
00:49:24,200 --> 00:49:27,360
Speaker 2: chat in the line, and then sometimes sometimes it happens

938
00:49:27,360 --> 00:49:30,280
Speaker 2: in the stall, like if you run out of toilet paper,

939
00:49:30,320 --> 00:49:32,440
Speaker 2: if you need a tampon, if like some you know,

940
00:49:32,560 --> 00:49:34,880
Speaker 2: sometimes you're there with friends and then somebody else hears

941
00:49:34,880 --> 00:49:37,520
Speaker 2: and makes a joke or something or like at this thing,

942
00:49:37,640 --> 00:49:41,480
Speaker 2: it's just it's just a beautiful place for for camaraderie,

943
00:49:41,600 --> 00:49:44,560
Speaker 2: you know, it's it's I just love it. I'm like,

944
00:49:44,640 --> 00:49:47,000
Speaker 2: men need more of this. That's the put all the

945
00:49:47,000 --> 00:49:50,400
Speaker 2: men who are in the loneliness epidemic in a bathroom together,

946
00:49:50,440 --> 00:49:51,360
Speaker 2: in a nice bathroom.

947
00:49:52,000 --> 00:49:54,240
Speaker 1: Yeah, peeing alone. That's the next book.

948
00:49:54,400 --> 00:49:57,000
Speaker 2: Yeah, don't you guys all just Piana Trough.

949
00:49:57,280 --> 00:50:01,480
Speaker 3: Isn't that that used to be away back when men

950
00:50:01,520 --> 00:50:05,720
Speaker 3: were met? No, Yeah, I've been to like the really

951
00:50:05,760 --> 00:50:13,000
Speaker 3: old sporting event venues like Fenway Park and the Kentucky Derby,

952
00:50:13,600 --> 00:50:16,880
Speaker 3: Like infield are the places I've been where everybody's just

953
00:50:17,000 --> 00:50:21,200
Speaker 3: standing around a single trough, peeing into it and just yeah,

954
00:50:22,000 --> 00:50:26,520
Speaker 3: mostly pretty drunk, so everyone's cool with it. Yeah.

955
00:50:26,560 --> 00:50:28,240
Speaker 1: Wait, can we go back to the study for a second,

956
00:50:28,239 --> 00:50:31,000
Speaker 1: because it's one line you read where the scientists at

957
00:50:31,040 --> 00:50:34,960
Speaker 1: Kyoto University watched six hundred hours of footage of captive

958
00:50:35,080 --> 00:50:38,160
Speaker 1: chimps and captured quote more than one three and twenty

959
00:50:38,160 --> 00:50:43,560
Speaker 1: eight urination events. Yeah. Probably as a former scientist, is

960
00:50:43,560 --> 00:50:44,759
Speaker 1: this a good use of their time?

961
00:50:45,480 --> 00:50:45,880
Speaker 3: Yeah?

962
00:50:46,040 --> 00:50:48,600
Speaker 2: I used to watch like raps touch things. I used

963
00:50:48,600 --> 00:50:51,680
Speaker 2: to have to go through hours of recordings of raps

964
00:50:51,719 --> 00:50:55,320
Speaker 2: like touching different objects in a circular maids or whatever.

965
00:50:55,600 --> 00:50:57,319
Speaker 2: So like you do have to like sit there and

966
00:50:57,360 --> 00:51:00,920
Speaker 2: like time it and record it and whatever. But especially

967
00:51:00,920 --> 00:51:04,120
Speaker 2: I'm assuming with chimps, there's so many like I hate

968
00:51:04,239 --> 00:51:07,360
Speaker 2: behavioral studies. I hate them so much because it feels

969
00:51:07,400 --> 00:51:11,040
Speaker 2: like so imprecise, because it could be they could be

970
00:51:11,040 --> 00:51:12,880
Speaker 2: influenced by so many things. Like there was a study

971
00:51:12,920 --> 00:51:15,239
Speaker 2: that came out that you found out that like male

972
00:51:15,960 --> 00:51:21,000
Speaker 2: male researchers affected the behavior of mice differently than female researchers.

973
00:51:21,080 --> 00:51:22,799
Speaker 2: So it's like people who are involved in the same

974
00:51:22,920 --> 00:51:25,759
Speaker 2: experiment and we're doing it in the same way could

975
00:51:25,800 --> 00:51:31,520
Speaker 2: still influence the behavior of these animals. So that's always yeah.

976
00:51:31,719 --> 00:51:33,960
Speaker 3: Yeah, for to find out that the male influence was

977
00:51:34,040 --> 00:51:36,520
Speaker 3: just like picking the mice up and like moving them around,

978
00:51:36,640 --> 00:51:39,200
Speaker 3: like yeah, just like them.

979
00:51:39,160 --> 00:51:43,920
Speaker 2: Yeah, trying to teach them how to like DAP. But

980
00:51:43,920 --> 00:51:47,120
Speaker 2: but yeah, it's so it's like super informative because that's

981
00:51:47,160 --> 00:51:49,680
Speaker 2: what you can't do to watch behaviors of animals. You

982
00:51:49,719 --> 00:51:51,920
Speaker 2: just have to watch like a bunch of footage and

983
00:51:52,000 --> 00:51:54,719
Speaker 2: record it and as it's strict of a measurement as

984
00:51:54,719 --> 00:51:55,120
Speaker 2: you can.

985
00:51:55,480 --> 00:51:58,600
Speaker 3: But it's like the sort of thing when we just

986
00:51:59,120 --> 00:52:01,359
Speaker 3: we always bring up like when AI is used in

987
00:52:01,360 --> 00:52:04,960
Speaker 3: a way that is like guys, not this like that

988
00:52:05,000 --> 00:52:07,600
Speaker 3: we don't need a worse coke commercial. That's just a

989
00:52:08,080 --> 00:52:12,320
Speaker 3: smoothie made of every previous co commercial. This would be

990
00:52:12,480 --> 00:52:15,360
Speaker 3: like scroll through the six hundred hours to find the

991
00:52:15,480 --> 00:52:23,000
Speaker 3: urination events. That's great. That that is a that's.

992
00:52:21,719 --> 00:52:23,839
Speaker 2: Yeah, there is a lot of that of like trying

993
00:52:23,880 --> 00:52:26,640
Speaker 2: to automate some of these like image processing or video

994
00:52:26,960 --> 00:52:30,120
Speaker 2: video processing things like that's something that like I even

995
00:52:30,400 --> 00:52:33,520
Speaker 2: like worked on at the in one of my rotations

996
00:52:33,600 --> 00:52:37,120
Speaker 2: or whatever on my PhD. But it's still sometimes there's

997
00:52:37,560 --> 00:52:40,839
Speaker 2: qualitative things too that they want to observe and it depends.

998
00:52:40,640 --> 00:52:43,560
Speaker 1: Like that chimp peeing or not. I mean that's a

999
00:52:43,600 --> 00:52:46,000
Speaker 1: difficult AI task. Yeah you have to, you.

1000
00:52:45,920 --> 00:52:49,640
Speaker 2: Have to and like the duration and yeah, wait.

1001
00:52:49,520 --> 00:52:52,319
Speaker 1: Isn't this actually a storyline in that show Silicon Value

1002
00:52:52,320 --> 00:52:55,840
Speaker 1: where they design an app to see penis is import

1003
00:52:56,320 --> 00:52:58,120
Speaker 1: and then or for hot dogs and then it actually

1004
00:52:58,120 --> 00:53:00,839
Speaker 1: is able to identify penis is important for some great

1005
00:53:01,800 --> 00:53:03,520
Speaker 1: it's a great storyline. That show continues to be the

1006
00:53:03,520 --> 00:53:08,359
Speaker 1: most pressure show there is, but it's literally I loved that.

1007
00:53:08,400 --> 00:53:10,520
Speaker 2: I was in Obay when that was happening, and tech

1008
00:53:10,560 --> 00:53:13,560
Speaker 2: people were like that is us do you have?

1009
00:53:15,040 --> 00:53:19,240
Speaker 3: I'm like, oh no, oh it shouldn't be. All right, Well, Jody,

1010
00:53:19,560 --> 00:53:22,439
Speaker 3: it's been a pleasure having you on the show where

1011
00:53:22,440 --> 00:53:26,000
Speaker 3: can people will find you? Follow you all that good stuff.

1012
00:53:26,160 --> 00:53:29,040
Speaker 1: Well, look, I host this political history show called This

1013
00:53:29,160 --> 00:53:33,080
Speaker 1: Day in Esoteric Political History from Radiotopia. We're trying to

1014
00:53:33,080 --> 00:53:37,640
Speaker 1: actually do more conversations about what we're going through right

1015
00:53:37,680 --> 00:53:39,640
Speaker 1: now through a historical lens. And I'm just kind of

1016
00:53:39,640 --> 00:53:42,359
Speaker 1: really happy with those conversations. Listeners have really enjoyed those,

1017
00:53:42,400 --> 00:53:44,920
Speaker 1: so you know, if you want to hear about weird

1018
00:53:45,200 --> 00:53:47,520
Speaker 1: historical moments, but then also kind of need a little

1019
00:53:47,560 --> 00:53:51,760
Speaker 1: help processing what we're going through and is this unprecedented.

1020
00:53:52,040 --> 00:53:54,840
Speaker 1: I host it with two actual historians. It's really a

1021
00:53:54,880 --> 00:53:57,399
Speaker 1: fun show, so I would encourage people to go check

1022
00:53:57,480 --> 00:53:59,879
Speaker 1: that out. And then one other silly thing that I'm

1023
00:53:59,880 --> 00:54:03,000
Speaker 1: doing but I've been enjoying is every week I get

1024
00:54:03,000 --> 00:54:04,880
Speaker 1: a New Yorker in the mail, and the New Yorker

1025
00:54:05,200 --> 00:54:07,480
Speaker 1: cover has a title. I don't know if you knew this,

1026
00:54:07,520 --> 00:54:10,000
Speaker 1: but every New Yorker cover has a title. Yeah, And

1027
00:54:10,080 --> 00:54:12,279
Speaker 1: so I've always played a game for myself where I

1028
00:54:12,320 --> 00:54:14,320
Speaker 1: try and guess the title and then I go flip

1029
00:54:14,360 --> 00:54:16,120
Speaker 1: open and see what the actual title is and see

1030
00:54:16,160 --> 00:54:17,840
Speaker 1: how close I am whether I like mine better or

1031
00:54:18,080 --> 00:54:20,319
Speaker 1: like theirs. But I'm doing that on my Instagram page

1032
00:54:20,320 --> 00:54:23,120
Speaker 1: now every week. So that is hit new series where

1033
00:54:23,160 --> 00:54:25,920
Speaker 1: I guess, try and guess the title of that week's

1034
00:54:25,920 --> 00:54:26,400
Speaker 1: New Yorker.

1035
00:54:26,520 --> 00:54:28,120
Speaker 3: So how's it going? How close? It's going?

1036
00:54:28,160 --> 00:54:30,520
Speaker 1: Great? H So far, it's been two weeks into the

1037
00:54:30,719 --> 00:54:33,319
Speaker 1: to the year, and I've had one where I liked

1038
00:54:33,320 --> 00:54:35,520
Speaker 1: my title better, one where I like their title better.

1039
00:54:36,280 --> 00:54:39,280
Speaker 3: The which was because there was the Elon Musk getting sworn.

1040
00:54:40,239 --> 00:54:44,880
Speaker 1: I liked their title. That's on my Instagram page.

1041
00:54:45,000 --> 00:54:47,480
Speaker 3: All right, is there a work of media that you've

1042
00:54:47,480 --> 00:54:49,279
Speaker 3: been enjoying? Is that the work of media that you've

1043
00:54:49,280 --> 00:54:49,440
Speaker 3: been in?

1044
00:54:49,800 --> 00:54:49,960
Speaker 2: Oh?

1045
00:54:50,000 --> 00:54:52,120
Speaker 1: I guess that is the work. But no, the day

1046
00:54:52,160 --> 00:54:55,040
Speaker 1: we're recording this, Garth Hudson from the band died today,

1047
00:54:55,560 --> 00:54:58,960
Speaker 1: the last remaining member of the band. And I watched

1048
00:54:59,000 --> 00:55:01,359
Speaker 1: a really wonderful fahl God. I wish I could recall

1049
00:55:01,360 --> 00:55:02,560
Speaker 1: the name of the person who did it. But if

1050
00:55:02,600 --> 00:55:05,280
Speaker 1: you google Garth Hudson, or if you go to YouTube

1051
00:55:05,280 --> 00:55:07,960
Speaker 1: and search for Garth Hudson, one of the first things

1052
00:55:07,960 --> 00:55:09,840
Speaker 1: that come up was just a kind of really lovely

1053
00:55:09,920 --> 00:55:12,800
Speaker 1: tribute to to him and his contributions to the band

1054
00:55:12,840 --> 00:55:17,520
Speaker 1: and his sort of genuine weirdness and avant gardeists. And

1055
00:55:17,560 --> 00:55:20,040
Speaker 1: so I'm taking a moment to kind of enjoy his

1056
00:55:20,120 --> 00:55:21,759
Speaker 1: work in the band and all that.

1057
00:55:22,160 --> 00:55:26,520
Speaker 3: Right, Paul, wonderful having you. Where can people find you?

1058
00:55:26,600 --> 00:55:29,200
Speaker 3: And is there a working media you've been enjoying? Hi?

1059
00:55:30,719 --> 00:55:32,600
Speaker 2: Thank you? I am so.

1060
00:55:32,560 --> 00:55:32,840
Speaker 3: Out of it.

1061
00:55:32,920 --> 00:55:34,080
Speaker 1: Oh, Hi, Hi.

1062
00:55:35,239 --> 00:55:39,200
Speaker 2: Oh my god, Hi, what's going.

1063
00:55:43,880 --> 00:55:44,280
Speaker 1: Faulted?

1064
00:55:46,080 --> 00:55:49,520
Speaker 3: Hi was like, you are on a pod day.

1065
00:55:49,640 --> 00:55:52,160
Speaker 2: I was looking at Garth Hudson. He lived to be

1066
00:55:52,200 --> 00:55:56,560
Speaker 2: eighty seven. Okay, that's beautiful. Uh there's also an English

1067
00:55:56,560 --> 00:56:01,960
Speaker 2: footballer named Garth Hudson. Okay. I I'm gonna be at

1068
00:56:01,960 --> 00:56:05,560
Speaker 2: Sketch Fest on Saturday, and I'm going to be on

1069
00:56:05,600 --> 00:56:08,760
Speaker 2: Comedian Clash with Jackie's Neil friend of the Pod, and

1070
00:56:08,960 --> 00:56:13,640
Speaker 2: I'm also co producing facial Recognition comedy at the Lost

1071
00:56:13,719 --> 00:56:16,600
Speaker 2: Church that night. Tickets are going fast. Please buy them.

1072
00:56:16,600 --> 00:56:19,399
Speaker 2: Please tell your friends to buy them. I am trying

1073
00:56:19,440 --> 00:56:21,799
Speaker 2: to find a work of media because I fully did

1074
00:56:21,800 --> 00:56:24,359
Speaker 2: not prepare for this. I'm on Blue Sky a lot more,

1075
00:56:24,400 --> 00:56:26,720
Speaker 2: but I'm noticing like people are kind of like going

1076
00:56:26,760 --> 00:56:30,080
Speaker 2: in between IT and Twitter a lot. So I'm like,

1077
00:56:30,160 --> 00:56:31,919
Speaker 2: I'm going in between. Have you noticed you've been losing

1078
00:56:31,960 --> 00:56:34,439
Speaker 2: a lot of Twitter followers because of Eli?

1079
00:56:34,560 --> 00:56:37,839
Speaker 3: Oh yeah, yeah I have too, and because I think

1080
00:56:37,840 --> 00:56:41,239
Speaker 3: a lot of people are quitting Twitter about It's true. Yeah.

1081
00:56:41,280 --> 00:56:46,799
Speaker 2: Okay. There is a tweet from dex Dexerte and it

1082
00:56:46,920 --> 00:56:50,479
Speaker 2: says chapel Rone says she doesn't play first person mode

1083
00:56:50,520 --> 00:56:53,279
Speaker 2: on Fortnite because she wants to see her Ariana Grande skin,

1084
00:56:54,120 --> 00:56:58,520
Speaker 2: which I thought was cute because she's there. There are

1085
00:56:58,560 --> 00:57:00,200
Speaker 2: pop girlies and they're all we have right now.

1086
00:57:00,680 --> 00:57:04,640
Speaker 3: Mmm, I'm gonna pretend like I understand all the references.

1087
00:57:04,680 --> 00:57:07,200
Speaker 2: Really, you don't know that you can wear like a

1088
00:57:07,239 --> 00:57:10,160
Speaker 2: person's like skit as a character. So if you're not

1089
00:57:10,200 --> 00:57:12,160
Speaker 2: in first person mode, I don't know why. I know

1090
00:57:12,239 --> 00:57:14,920
Speaker 2: gamers references that.

1091
00:57:16,000 --> 00:57:17,880
Speaker 3: Yeah, yeah, I got that. The I know what a

1092
00:57:18,280 --> 00:57:22,320
Speaker 3: skin is, and I'm assuming there is an Ariana Grande one.

1093
00:57:22,600 --> 00:57:25,480
Speaker 3: I don't know what ties it all to her?

1094
00:57:25,600 --> 00:57:31,880
Speaker 2: Is wh Oh she's playing her white character Ariana Grande,

1095
00:57:32,440 --> 00:57:34,360
Speaker 2: no chapel Roun just plays Fortnite and she wants she

1096
00:57:34,360 --> 00:57:35,960
Speaker 2: doesn't want to do first person mode because she likes

1097
00:57:36,080 --> 00:57:38,960
Speaker 2: viewing herself as Ariana Grande, which makes which made me happy.

1098
00:57:39,520 --> 00:57:40,480
Speaker 3: Okay, got it?

1099
00:57:40,880 --> 00:57:43,040
Speaker 2: They like to play each other. All these pop girls

1100
00:57:43,120 --> 00:57:44,800
Speaker 2: are getting lung. There was a time when they weren't.

1101
00:57:44,840 --> 00:57:46,360
Speaker 2: They're not nicking the watching each other.

1102
00:57:47,040 --> 00:57:51,560
Speaker 3: That is nice, all right, got it? Let's see. So

1103
00:57:51,840 --> 00:57:55,520
Speaker 3: I just wanted to give a little further detail on

1104
00:57:55,600 --> 00:58:01,360
Speaker 3: something that Paul mentioned earlier. Grimes tweet him over the weekend.

1105
00:58:01,800 --> 00:58:03,760
Speaker 3: Just for my personal pride, I would like to state

1106
00:58:03,800 --> 00:58:06,160
Speaker 3: that the father of my children was the first American

1107
00:58:06,240 --> 00:58:10,960
Speaker 3: druid and Diablo DIABLOA to clear Abatois or Zeer and

1108
00:58:11,160 --> 00:58:14,000
Speaker 3: ended that season as best in the USA. He was

1109
00:58:14,040 --> 00:58:19,000
Speaker 3: also ranking in Polytopia and beat Felix himself at the game.

1110
00:58:19,240 --> 00:58:22,000
Speaker 3: I did observe these things with my own eyes. There

1111
00:58:22,040 --> 00:58:25,280
Speaker 3: are other witnesses who can verify this. That is all.

1112
00:58:25,760 --> 00:58:34,320
Speaker 3: And yes, Pokey Pup on Twitter tweeted for your personal pride, girl,

1113
00:58:34,440 --> 00:58:35,840
Speaker 3: this is so embarrassing.

1114
00:58:36,120 --> 00:58:36,680
Speaker 1: Thank you.

1115
00:58:36,800 --> 00:58:40,760
Speaker 3: Yeah. You can find me on Twitter at jack Underscore

1116
00:58:40,920 --> 00:58:43,880
Speaker 3: Brian and on Blue Sky at jack ob and the

1117
00:58:44,000 --> 00:58:47,600
Speaker 3: Number one. You can find us on Twitter at Daily Zeitgeist,

1118
00:58:47,760 --> 00:58:50,600
Speaker 3: at the Daily Zeitgeist on Instagram. We have a Facebook

1119
00:58:50,640 --> 00:58:53,880
Speaker 3: fan page and a website Daily zeikeist dot com, and

1120
00:58:53,960 --> 00:58:56,840
Speaker 3: you can go to the episode wherever you're listening to this,

1121
00:58:56,960 --> 00:59:00,800
Speaker 3: check out the description and you can find the footnotes,

1122
00:59:01,280 --> 00:59:03,160
Speaker 3: which is where we link off to the information that

1123
00:59:03,200 --> 00:59:07,200
Speaker 3: we talked about in today's episode. We also link off

1124
00:59:07,240 --> 00:59:11,040
Speaker 3: to a song that we think you might enjoy. Super

1125
00:59:11,040 --> 00:59:14,240
Speaker 3: producer Justin Miles. Miles will be back by the way

1126
00:59:14,280 --> 00:59:15,600
Speaker 3: in the not too distant.

1127
00:59:15,280 --> 00:59:19,040
Speaker 2: Future, but it's like an Avengers movie. Miles will return.

1128
00:59:19,520 --> 00:59:23,120
Speaker 3: Miles will return, still sending a lot of good energy

1129
00:59:23,160 --> 00:59:26,640
Speaker 3: to him and his family. I was texting with him

1130
00:59:26,640 --> 00:59:29,560
Speaker 3: this morning. He's still very funny, which I don't know

1131
00:59:29,600 --> 00:59:32,840
Speaker 3: how he is still so funny at a time like this.

1132
00:59:33,360 --> 00:59:35,360
Speaker 2: Honestly pretty fucked up, you know what I mean.

1133
00:59:35,880 --> 00:59:37,480
Speaker 3: Kind of a fucked up guy, you know.

1134
00:59:37,400 --> 00:59:39,840
Speaker 2: What, Miles, that's fun.

1135
00:59:40,840 --> 00:59:44,040
Speaker 3: But with Miles out, we like to turn to super

1136
00:59:44,040 --> 00:59:49,479
Speaker 3: producer Justin to recommend a song that he thinks people

1137
00:59:49,560 --> 00:59:52,360
Speaker 3: might enjoy. Super Producer Justin Conner, is there a song

1138
00:59:52,480 --> 00:59:54,480
Speaker 3: do you think people might enjoy? Yeah?

1139
00:59:54,520 --> 00:59:57,640
Speaker 6: I wanted to attempt to lift your spirits after a

1140
00:59:57,720 --> 01:00:01,680
Speaker 6: rough news cycle today by recommend this amazing song. It's

1141
01:00:01,680 --> 01:00:05,560
Speaker 6: called It's Not Easy by a band named Ofege and they.

1142
01:00:05,480 --> 01:00:08,280
Speaker 1: Were a group of high school in Mount Rushmore songs.

1143
01:00:08,720 --> 01:00:08,919
Speaker 3: Yeah.

1144
01:00:09,280 --> 01:00:10,400
Speaker 1: Yeah, they're a group of.

1145
01:00:10,440 --> 01:00:13,520
Speaker 6: High school students like age fifteen to seventeen, which is

1146
01:00:13,560 --> 01:00:16,200
Speaker 6: really hard to believe after you hear the song. They

1147
01:00:16,200 --> 01:00:19,520
Speaker 6: were recording back in the seventies during the much overlooked

1148
01:00:19,520 --> 01:00:24,560
Speaker 6: psych rock movement in Legos, Nigeria. And it's got this nostalgic, fuzzy,

1149
01:00:24,720 --> 01:00:28,080
Speaker 6: peace loving, open hearted feeling to it. This is by

1150
01:00:28,080 --> 01:00:31,520
Speaker 6: far the most popular and accessible song. I don't even

1151
01:00:31,560 --> 01:00:33,360
Speaker 6: know if people listen to the songs I recommend on

1152
01:00:33,400 --> 01:00:36,480
Speaker 6: here half the time, but I highly suggest checking out

1153
01:00:36,520 --> 01:00:39,520
Speaker 6: their whole catalog because it's impossible not to love. And

1154
01:00:39,560 --> 01:00:43,120
Speaker 6: there's something very special about this song specifically, so that

1155
01:00:43,200 --> 01:00:45,640
Speaker 6: again is It's not easy by Opega, and you can

1156
01:00:45,680 --> 01:00:47,080
Speaker 6: find that song in the footnotes.

1157
01:00:47,320 --> 01:00:49,520
Speaker 2: Wait, I have a question. Do you guys have a

1158
01:00:49,600 --> 01:00:52,600
Speaker 2: tdz Spotify playlist of all the songs you recommended?

1159
01:00:53,080 --> 01:00:53,720
Speaker 1: I don't think so.

1160
01:00:54,160 --> 01:00:57,280
Speaker 3: Really there I think there was at one point.

1161
01:00:57,400 --> 01:00:58,880
Speaker 1: Yeah, I thought there was at one point.

1162
01:00:58,880 --> 01:01:01,000
Speaker 3: There was at one point. I don't know if it's

1163
01:01:01,040 --> 01:01:02,960
Speaker 3: being kept up right sure or not.

1164
01:01:03,560 --> 01:01:07,400
Speaker 2: Well, I've just found new work for no pay.

1165
01:01:08,600 --> 01:01:09,200
Speaker 3: Yes, thank you.

1166
01:01:09,200 --> 01:01:13,120
Speaker 1: I appreciate you can one of your discord people into

1167
01:01:13,160 --> 01:01:16,560
Speaker 1: doing that. Yeah. I'm sure someone's right on it somewhere.

1168
01:01:16,600 --> 01:01:16,840
Speaker 5: Yeah.

1169
01:01:17,360 --> 01:01:20,400
Speaker 3: Yeah, amazing song sounds wonderful.

1170
01:01:20,520 --> 01:01:22,920
Speaker 1: Yeah, the best multiple votes.

1171
01:01:22,720 --> 01:01:25,400
Speaker 3: Of approval, So go check it out. The Daily Geist

1172
01:01:25,400 --> 01:01:28,560
Speaker 3: is the production of iHeartRadio. For more podcasts from iHeart Radio,

1173
01:01:28,640 --> 01:01:31,560
Speaker 3: visit the iHeartRadio app Apple podcast or wherever you listen

1174
01:01:31,600 --> 01:01:34,120
Speaker 3: to your favorite shows, that is going to do it

1175
01:01:34,200 --> 01:01:36,920
Speaker 3: for us this morning. We are back this afternoon to

1176
01:01:36,960 --> 01:01:39,480
Speaker 3: tell you what is trending and we will talk to

1177
01:01:39,520 --> 01:01:43,400
Speaker 3: you all the bite, oh my god, bite