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Speaker 1: Yeah, my all my family, well, my mom is from Nigata,

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Speaker 1: my but my family is off in Tokyo.

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Speaker 2: Excellent.

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Speaker 1: Yeah, so I go there a lot.

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Speaker 2: Yeah, I'm going back in the spring, is it my dog?

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Speaker 3: Yeah, okay, cool, I'm going in March. Excellent at the

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Speaker 3: beginning of April. Yeah, for the first time. So I

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Speaker 3: got Wow.

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Speaker 2: You're in for a big surprise and a treat.

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Speaker 1: Yeah, good, good surprise. Oh yeah, you surprise, big surprise.

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Speaker 1: Will fuck you up? Jack?

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Speaker 4: Yeah right, gonna be this ship out you. You didn't

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Speaker 4: hear about Tokyo. Everyone does martial arts away from Copaicho. Bro,

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Speaker 4: They're gonna get you too. Don't don't funk around.

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Speaker 1: Ship all the way up.

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Speaker 2: I had no idea we'd have this conversation.

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Speaker 1: Don't go to not Yokocho, don't go don't go to

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Speaker 1: No Yoko Chose. They're going no fuck you up. Wow.

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Speaker 5: Hello the Internet, and welcome to season three seventy four,

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Speaker 5: Episode five of Dai Guys Say production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep.

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Speaker 3: Dive into america shared consciousness.

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Speaker 5: And it is Friday February seventh, twenty twenty five, two

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Speaker 5: seven two five.

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Speaker 1: We got a big one, all right, Ocational Betticini Alfreedo,

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Speaker 1: betted Genie Alfredo table Day, shout out Valence elect Fronds,

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Speaker 1: National wear Red Day unless you know you're down with

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Speaker 1: that other set and maybe not, but also National Send

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Speaker 1: a Card to a Friend Day and National Bubblegum Day,

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Speaker 1: so look, we got a lot of bubble gum. Lla

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Speaker 1: com fetticini red Cardaccini.

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Speaker 3: Alfredo is my favorite food for like age five to seven,

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Speaker 3: like when I the age said my family was into

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Speaker 3: olive garden.

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Speaker 1: Oh yeah, yeah, yeah, yeah, oh my good god, my god. Whoa.

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Speaker 1: I think it's because there's some it's it was like

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Speaker 1: the grilled cheese of pastas, yes or something, you know

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Speaker 1: what I mean, Like I guess there's macon cheese. But

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Speaker 1: if you had to go to an Italian restaurant, you're like,

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Speaker 1: I don't know if I get tomato sauce everywhere, I

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Speaker 1: don't like that. But this whole thing that's just cream each.

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Speaker 3: Noodle like deeply coated, like it like three levels deep

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Speaker 3: coated with like just cheese and cream. And oh my god,

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Speaker 3: this became way My face was shiny after I ate it.

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Speaker 1: You know, apparently this was made because a restaurant tour

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Speaker 1: was worried that his pregnant wife wasn't eating like enough,

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Speaker 1: or like there were things she didn't like, so he

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Speaker 1: was like, what about this ungodly concoction? And then fettuccini

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Speaker 1: Alfredo was born. It is a is a beautiful.

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Speaker 3: Concoction made for a beautiful reason.

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Speaker 1: Shout out to the periodic table.

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Speaker 3: I will never know you, but uh nope, God.

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Speaker 1: Blessed all the people who did. I said, shout out

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Speaker 1: Valens Electrons, very very sarcastically, because that's the thing I

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Speaker 1: fucking hated about.

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Speaker 3: Because fuck Valence Electron.

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Speaker 1: Yeah, I don't care how many y'all could bond with

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Speaker 1: some other fucking molecules.

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Speaker 5: A man, my name is Jack O'Brien AKA, it's tricky

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Speaker 5: to talk, go round to talk, go round to talk,

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Speaker 5: go around.

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Speaker 1: UFC support for Hitler.

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Speaker 3: That is courtesy of hannahy Emmick view. Uh Andrew T

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Speaker 3: bringing up how you know he spent some time loving

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Speaker 3: the combat sports at UFC, but at a certain point

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Speaker 3: was like, oh, they're all Nazis, so many of them.

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Speaker 3: The core like ideals behind that field, but the league

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Speaker 3: is kind of hitler ish. Anyways, I'm thrilled to be

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Speaker 3: joined as always by my co host, mister Miles.

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Speaker 1: Grassles Hey, the Lord of Lancersham the Viceroy Ventura Boulevard,

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Speaker 1: famously known as the show Gun with No Gun. Thank

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Speaker 1: you so much for having me back. Jack was real

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Speaker 1: touch and go there here. Well, yeah, I'm here. You know,

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Speaker 1: I was like, should we bring this guy back? I

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Speaker 1: don't know. I was waiting outside to do it. I

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Speaker 1: was holding my lucky charm, just waiting for the call up.

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Speaker 1: And here I am. Y'all know yourself. It's good to

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Speaker 1: be back.

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Speaker 3: Well, Miles, we are thrilled to be joined in our

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Speaker 3: third seat by an actor, educator, podcast host of the

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Speaker 3: show's Living Forward, and the creator of the podcast Caucus

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Speaker 3: After the Fall. Please welcome the very fucking interesting Hey.

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Speaker 2: Hey guys, Hey, it was awesome to be here.

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Speaker 3: Yeah, well, I was quoting the great Bard Miles Gray said,

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Speaker 3: where did we get this very interesting guest?

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Speaker 1: Yeah? This is amazing because again, so full disclosure. You know,

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Speaker 1: when we're looking like read up on our guests and stuff.

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Speaker 1: I discover Taya also mixed race, also Japanese. I'm like

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Speaker 1: also black but also Filipino. Dane. It I was like,

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Speaker 1: hold on, hold on, hold on, no, no, what is

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Speaker 1: going on? But Taya do this up? Like I was

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Speaker 1: like you you're like my mixed race o. G you

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Speaker 1: know what I mean. I love I love to have

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Speaker 1: people there. And we were just talking shit about Tokyo

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Speaker 1: or not talking shit, but you know, just talking our

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Speaker 1: ship about Tokyo. So just it's nice. It's nice to

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Speaker 1: have you know what, talking ship about to No, no,

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Speaker 1: never never there because Tokyo will fuck your ship up.

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Speaker 3: Yeah, I'm saying before I'm gonna Tokyo in about a

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Speaker 3: month and a half and.

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Speaker 1: Have your head on a swivel, bro. But that Dodger's

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Speaker 1: hat will protect you because yeah, because we have we

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Speaker 1: have Sasaki and Old Tony. Now so yeah yeah, yeah,

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Speaker 1: you're good, You're good, all right. Yeah. No, when I

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Speaker 1: was there last time, right after we signed Old Tony,

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Speaker 1: you couldn't buy it, like there were no Dodger hats

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Speaker 1: to available for saying oh yeah yeah yeah yeah no,

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Speaker 1: trust me, you will be That's a protective cloak. Even

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Speaker 1: though there is nothing you need protection.

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Speaker 3: I can get it. I get it, all right. Well, Tayo,

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Speaker 3: we're going to get to know you a little bit

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Speaker 3: better in a moment. But first, a couple of things

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Speaker 3: we're talking about. We're gonna talk about they're just basically

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Speaker 3: blaming the letters DEI for everything in the government. Right now,

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Speaker 3: we're going to talk about how that's going. And finally

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Speaker 3: some good news. An asteroid could hit ear within twenty

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Speaker 3: thirty two, So writing time for Trump's third bite of

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Speaker 3: the apple.

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Speaker 1: Third consecutive term, third consecutive consecutive term. Yeah yeah, yeah,

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Speaker 1: it's hard reset time, baby. Yeah. Get those thera guns out. Yeah.

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Speaker 3: In the past, we've talked about, you know, doing a

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Speaker 3: hard reset with a thera gun, just like to pet

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Speaker 3: their gun to the temple.

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Speaker 1: But lightly massage your temple. Hope they'll jar all the time.

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Speaker 3: Maybe maybe this will just do the job for us.

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Speaker 3: All of that plenty more, But first, Tayo, 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 2: I wanted to know how many feet there were in

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Speaker 2: a mile?

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Speaker 1: Okay, hold on and two old eighty ah.

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Speaker 2: I was gonna get and and And the reason I

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Speaker 2: was searching it was because I was doing some simple calculations,

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Speaker 2: and having grown up in Japan, we don't use the

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Speaker 2: what it's called the imperial, which is kind of interesting

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Speaker 2: way to get comperial?

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Speaker 1: How do you use the right one? Why don't you

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Speaker 1: use the good ones?

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Speaker 2: That's right, the imperial. So it turns out it's five

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Speaker 2: and eighty. Yeah, so my question is why, why so complicated?

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Speaker 2: And then I just started to do another search for

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Speaker 2: how many ounces are in a pound?

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Speaker 1: Sixteen? Yeah, sixteen? I do know that.

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Speaker 2: Why is it sixteen?

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Speaker 1: I don't know, because because that's how that's how much

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Speaker 1: it weighs when you put the weed on the scale,

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Speaker 1: when you've got to say sixteen or the sh is light?

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Speaker 3: Yeah, yeah, why don't you use in inquitive measurements like.

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Speaker 1: As the base unit? I mean, did you guys see that?

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Speaker 1: That skets When Nate Bargatzi hosted SNL like last year

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Speaker 1: the Joye Washington's founding father. It's so funny because the

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Speaker 1: whole thing is about He's like, and how many feet

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Speaker 1: in this Miley? And they're like, what what? Why?

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Speaker 2: Yes, what's the purpose of that?

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Speaker 1: Yeah, that's one of the best recent SNL sketches I

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Speaker 1: think kills me. Do you remember.

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Speaker 3: Like any point where it was just agreed that the

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Speaker 3: US was in the process of transitioning to the metric system,

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Speaker 3: and then it just never happened. Like, so I went

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Speaker 3: to elementary and middle school in like, you know, late eighties,

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Speaker 3: early nineties, and that was a thing that they were

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Speaker 3: just like, and soon we'll all be on the metric system,

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Speaker 3: so you should be learning the metric system mainly, but

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Speaker 3: you know, this is the old bullshit way of doing things.

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Speaker 3: And then it just like never happened.

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Speaker 2: Well, I came to the States in nineteen eighty one

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Speaker 2: for collage.

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Speaker 1: I got it.

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Speaker 2: My wife grew up in the States, and she tells

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Speaker 2: me that when I was not here, they had attempted to,

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Speaker 2: like in the back of the milk cartons, they had

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Speaker 2: like just a comparison chart between metric and the imperial system. Yeah,

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Speaker 2: and then it just kind of went away.

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Speaker 3: And then people were just like the monkey guys at

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Speaker 3: the beginning of two thousand and one, They're like, oh.

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Speaker 1: Yeah, and they threw theirs.

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Speaker 2: The question is why is it so hard? Why is

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Speaker 2: it so difficult?

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Speaker 3: So this is a theory that I'm just coming up

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Speaker 3: with right now. But I have noticed that one of

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Speaker 3: the strategies for power and capital in the United States

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Speaker 3: is to hide behind complexity to make things so. You know,

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Speaker 3: all the stories about what Ela Musk is doing to

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Speaker 3: the government, like I trust that it's bad. I don't

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Speaker 3: know what most of this shit means, you know, like

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Speaker 3: it just requires a lot of homework and complexity, and

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Speaker 3: like all like the way that corporations and big banks

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Speaker 3: have kind of fucked things up in the past three decades.

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Speaker 3: Like it's hidden in complexity. And I think that's the

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Speaker 3: way that neoliberalism works in a lot of the time.

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Speaker 3: You know, it's the tax code and how American taxes

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Speaker 3: are super complicated and other countries are like here's your bill,

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Speaker 3: thank you. I think they like to exhaust us, to

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Speaker 3: like make things complicated so that we don't fuck with

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Speaker 3: how things are, how they're operating behind the scenes.

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Speaker 2: I call it distract and destroy.

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Speaker 1: Yeah, I think that's right.

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Speaker 3: Distract, exhaust, you know, just make it, make it exhausting,

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Speaker 3: make it seem like homework, and then the people who

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Speaker 3: went to an Ivy League college and are just like

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Speaker 3: so horny for homework can just do all the homework

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Speaker 3: and steal steal all the money.

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Speaker 1: I just read that. The reason it's five two hundred

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Speaker 1: and eighty feet is because the Brits in fifteen ninety

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Speaker 1: two are like a mile because the Roman mile was

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Speaker 1: five thousand feet and they're like, nah, let's throw another

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Speaker 1: to eighty because they're like, we think a mile should

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Speaker 1: be eight furlongs. A furlong six hundred and sixty feet

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Speaker 1: furlong sounds like some horseshit, right, like something to do

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Speaker 1: with Hey, already furlong though, you know from Terminator too,

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Speaker 1: all right, one of the great furlongs? Did he didn't

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Speaker 1: make it right, did he not?

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Speaker 3: No, Brad Renfro, I was thinking Renfro. Sorry, guys, guys, sorry,

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Speaker 3: I was thinking Remfro.

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Speaker 1: Yeah for long Heyo. What's something you think is underrated?

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Speaker 2: Botox?

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Speaker 1: Botox?

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Speaker 5: Yeah, botulism toxin, yes, under the very botulism toxin.

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Speaker 1: So I I had injected in my face this morning. Yeah,

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Speaker 1: I was gonna say, Jackie look shocked. Yeah, right, did

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Speaker 1: you know what was gonna happen?

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Speaker 3: Yeah?

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Speaker 2: Yeah, So I inherited from my father the ability to

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Speaker 2: squeeze my my forehead when I'm thinking so much, I

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Speaker 2: look like a like a klingon. It just starts to

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Speaker 2: bunch up over here in the middle and a bunch

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Speaker 2: of years ago, my wife said to me, you know,

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Speaker 2: as an on camera person, as an actor, you might

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Speaker 2: want to take a look at that. And I was like,

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Speaker 2: it's part of my identity, you know, way, what the heck,

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Speaker 2: you know, and then about it, and then I say,

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Speaker 2: it's not going to stick that way. Well eventually it did,

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Speaker 2: and two weeks three weeks ago, I had just a

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Speaker 2: little injection over here, and now it actually feels like

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Speaker 2: I'm not squeezing my eyebrows. So I just say, there's

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Speaker 2: a limit, you know, like you know, right, So yeah,

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Speaker 2: it's a little bit underrated. I wasn't gonna do it

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Speaker 2: for for decades, but.

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Speaker 3: And nowhere off. You know, sometimes Nicole Kidman would roll

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Speaker 3: in looking like just something had happened, like neurologically something

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Speaker 3: had happened. But then she has still maintained as like

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Speaker 3: one of our finest actors.

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Speaker 1: So it you know it, but.

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Speaker 3: It's not it's not permanent.

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Speaker 1: So that's another thing.

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Speaker 3: It does feel weird like you're put injecting poison into

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Speaker 3: your face to fix things.

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Speaker 2: But yeah, I think that it's like eating nutella. It's

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Speaker 2: it's it's not any worse.

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Speaker 1: Right, exactly. Nutella is poison.

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Speaker 3: It is wild like as you age that the thing

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Speaker 3: like that people told me when I was young, like

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Speaker 3: don't make that face, it'll stick that way does end

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Speaker 3: up being true a little bit. It's like, oh yeah,

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Speaker 3: you're like there, yeah, you frown so much, you have

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Speaker 3: weird wrinkles.

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Speaker 2: You you want to die with a smile, Yes, that

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Speaker 2: would be the optimum.

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Speaker 1: Yeah, or in your street yeah yeah.

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Speaker 3: But maybe you're just like you don't even know what's happening,

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Speaker 3: Like you're just like, wait, who, why is this like

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Speaker 3: the end of suppressed the plug on the TV, or

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Speaker 3: like you're in the middle of a dream, and then

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Speaker 3: then they're like, hey, bro, come over here.

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Speaker 1: Huh yeah, right now, right there. Yeah yeah, come right

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Speaker 1: over here, right over here, idiot.

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Speaker 2: That sounds really creepy.

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Speaker 1: Yeah yeah, maybe that is.

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Speaker 3: You get like an icy like feeling on your spine

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Speaker 3: right as the darkness closes in that's the way to go. Yeah,

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Speaker 3: and then the dream never ends, so it's just a

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Speaker 3: never ending feeling of being unsettled and creeping chill.

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Speaker 1: Yeah, perfect, Yeah.

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Speaker 3: I think a lot about that, like the bad death scenarios. Yeah,

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Speaker 3: looks like it's gonna hurt. That's my main thing looks

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Speaker 3: like it hurts, It looks unpleasant.

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Speaker 1: Tell you what's something you think is overrated?

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Speaker 2: The Imperial metric system, Wow, okay, hold on point on

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Speaker 2: her point right? Or selfie sticks. I think selfie sticks

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Speaker 2: are overrated. O.

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Speaker 1: Man, where's last time you saw a selfie stick?

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Speaker 2: Well, that's the point. Yeah, I mean, you know they

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Speaker 2: probably sold millions of them. You know, people are thinking,

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Speaker 2: I'm gonna like enhance my identity on Instagram by holding

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Speaker 2: out this big stick, and then you end up at

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Speaker 2: a party and where's the stick?

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Speaker 1: Yeah, yeah, it's true. We've I'm like, it's funny, like

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Speaker 1: where did where have all the selfie sticks gone? Where

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Speaker 1: all the.

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Speaker 3: Going on?

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Speaker 1: Yeah? I mean that is Yeah. I feel like it's

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Speaker 1: funny because you know, in Japan, you'll see like on

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Speaker 1: the train platform they're like, put that motherfucking selfie stick away.

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Speaker 1: They have so many selfie stick warnings because they think

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Speaker 1: sometimes someone might get it so high it'll hit like

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Speaker 1: the fucking power lines above the train track or something related.

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Speaker 3: Yeah, right right, you can see the voltage connecting in

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Speaker 3: the middle of the behind his eyes.

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Speaker 1: I got a photo of the guy. You could see

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Speaker 1: an arc from the cable to the guy's selfie selfie stick.

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Speaker 2: That's right, That is not AI that actually happened, right.

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Speaker 3: Right, Yeah, yeah, there's some stuff like that that's just

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Speaker 3: like invented by people with add who don't know or

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Speaker 3: who don't have a d D and don't know enough

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Speaker 3: people who have a d D Like, yeah, no, this

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Speaker 3: will be good and people just remember them and they

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Speaker 3: won't be clogging up our lost and founds for decades

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Speaker 3: from now. But yeah, selfie sticks just couldn't be me

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Speaker 3: having a selfie stick.

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Speaker 1: Be careful, you never know that, you never know.

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Speaker 3: I mean, it could be me for twelve hours and

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Speaker 3: then and then I will lose that shit. I have noticed, like,

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Speaker 3: you know, I took my kids to the the not

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Speaker 3: the Redwood for it, the Sequoia like National Park over

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Speaker 3: over the holidays, and you know, we're it's just a

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Speaker 3: big like line of people taking selfies in various locations.

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Speaker 1: And when I.

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Speaker 3: Would offer to take people's pictures a lot of time

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Speaker 3: they're like no, like I just want to like take

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Speaker 3: a selfie like that. There's a weird like selfie culture,

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Speaker 3: like right, purity of selfies.

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Speaker 1: Well it could it could have been were you sweating

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Speaker 1: a lot. I was sweating, and I'm gonna take that.

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Speaker 3: I seem to you a little desperate to take their picture.

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Speaker 1: Hey hey, hey, hey, it's that guy again. You want help.

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Speaker 6: We're in the car. You are great, right now? Hey

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Speaker 6: hey hey great? Pay sure, hey hey, just give me

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Speaker 6: your camera. I'll give it back. I'll give it back.

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Speaker 6: I'll give it back. You do it in the back.

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Speaker 3: Seat of our car. If they approached, he I was

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Speaker 3: gonna get I was going to get a candid.

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Speaker 1: Yeah. I mean people like a selfie more. I mean

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Speaker 1: I think it's probably generational because like when I see

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Speaker 1: people my age and older, you definitely are doing that thing.

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Speaker 1: We're like, oh yeah, yeah, Ki, thank you so much,

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Speaker 1: so much, because sometimes I don't I think personally, I don't.

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Speaker 1: Selfies aren't the most flattering angle for me.

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Speaker 2: But when you when you see a selfie that was

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Speaker 2: taken the like let's say President Obama, like people around him,

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Speaker 2: then it's like, Wow, the president is taking a selfie,

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Speaker 2: right cue that's yeah, that that's really cool. That's cool

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Speaker 2: to see because and it's not a generational thing. I

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Speaker 2: don't think. I think it's it's all it's like a

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Speaker 2: Hubris thing. It's like a it's a it's a cultural thing.

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Speaker 2: I think right now in the world where we're looking

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Speaker 2: too much into ourselves, Am I getting too metaphoric? Maybe

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Speaker 2: I am.

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Speaker 1: No, I don't think this is the type of ship

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Speaker 1: we do on the show. I was like, or maybe

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Speaker 1: it's faux populist for a politician to take a selfie,

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Speaker 1: like look, I am just like you poor people the selfies.

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Speaker 3: Let me get my hands out of the picture. Person

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Speaker 3: a service agent. You can take the picture and I'll

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Speaker 3: look like a selfie the Yeah, but gen Z likes

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Speaker 3: selfies because they're like, I don't know, it seems like

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Speaker 3: I'm all alone in this world since you've poisoned it

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Speaker 3: and created a system where like we're just communicating to

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Speaker 3: each other in isolation through social media.

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Speaker 1: So why would it? Why would I not take a selfie? Right?

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Speaker 1: Non selfies are a lie? Okay Dad, wow Dad? Like

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Speaker 1: cas is Mark Zuckerberg, Oh.

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Speaker 2: Oh nice, wow you you jumped that.

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Speaker 1: Yeah, we went, yeah, we do do something, do something

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Speaker 1: because we'll get in the cage. We not like Elon.

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Speaker 3: I'll tell Mark Zuckerberg give anything like five ten. He

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Speaker 3: looks tall, looks like normal sizes. Yeah, normal, not normal,

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Speaker 3: but like not He's not neither super tall or super short.

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Speaker 1: It's just like, oh, were we actually this? Just in

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Speaker 1: I thought five to five seven, five seven okay, Jeff Bezos, Wow, okay,

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Speaker 1: Steve Jobs six two? Really a hey did that? If

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Speaker 1: you measure down now? Look, yeah, look what are we doing?

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Speaker 3: So, yeah, Zuckerberg would be in like a pretty low

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Speaker 3: weight class in the cage. Is it is what I'm

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Speaker 3: trying to.

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Speaker 1: It would be yeah, yeah, yeah, yeah, ye see what

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Speaker 1: what what he's walking into the ring? His his weight

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Speaker 1: at that point?

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Speaker 2: Is that using the metric system.

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Speaker 1: Or Imperial metric system? Imperial? Yeah, we are a strictly

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Speaker 1: imperial podcast. He's ten stone. We actually go deeper. Yeah,

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Speaker 1: he's actually ten and a half stone.

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Speaker 3: And yeah, measure height by like chickens, I don't know

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Speaker 3: whatever whatever you have on the farm.

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Speaker 1: All right, let's uh, let's take a couple breaks. Let's

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Speaker 1: take a quick break. Hey, you know, Lea's Friday. Take

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Speaker 1: a quick break. We'll be right back. And we're back.

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Speaker 1: We're back, and man, this DEI stuff.

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Speaker 3: I guess it's pretty bad according to according to the

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Speaker 3: headlines I've been seeing.

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Speaker 1: Holy shit, everything's the every it's the cause of all

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Speaker 1: of all of the problems in the United States. Crash

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Speaker 1: the moment the e I d I crashed that boat

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Speaker 1: into the bridge in Baltimore. Yeah, DEI is is it's

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Speaker 1: it's it's a what do they say. It's just it's

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Speaker 1: this destructive ideology. That's what they always say. Is sort

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Speaker 1: of like a catch all description of it. But it's

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Speaker 1: been a gift to Republicans in that they use it

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Speaker 1: again as a catch all to describe anything that isn't

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Speaker 1: to their liking. It's basically shorthand for it's those damn

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Speaker 1: insert group here that are ruining the air traffic controllers.

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Speaker 3: Okay, those dang insert group here FAA, and not the

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Speaker 3: firing of the head of the FAA, nah, not weeks

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Speaker 3: before now.

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Speaker 1: And aside from you know, trying to completely destroy the

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Speaker 1: federal government, Trump two point zero is clearly focused on

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Speaker 1: trying to erode any sense of decency and inclusiveness that

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Speaker 1: we have as Americans that's been fostered over many decades,

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Speaker 1: and so many headlines this week are crammed with references

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Speaker 1: to DEI as it relates to the actions of the administration.

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Speaker 1: So just for starters, right, like the Pentagon was directed

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Speaker 1: to be. Like, dude, I don't want to see the

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Speaker 1: word diversity anywhere West Point. You have affinity groups for

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Speaker 1: the people, for the cadets at West Point, get it

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Speaker 1: out of here. If it has an ethnic group name,

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Speaker 1: I don't want to hear about Japanese cadets or South

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Speaker 1: Asian engineering groups. Get rid of all of it. So

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Speaker 1: at the White House they took down their Spanish language website.

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Speaker 1: The FBI headquarters had their walls painted over for having

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Speaker 1: banned words scrawled on it, like diversity. And I mean,

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Speaker 1: I guess that doesn't feel like too much of a

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Speaker 1: loss considering what the FBI was doing with co Intel pro.

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Speaker 1: But hey, look they put the words up on the

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Speaker 1: walls nonetheless. And he recently fired the head of the

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Speaker 1: US Coast Guard, Commandant Linda Fagan, and evicted her from

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Speaker 1: her foot like home that's you know, part of like

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Speaker 1: that comes with the position, with only like three hours notice.

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Speaker 1: So she wasn't even able to get like all of

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Speaker 1: her personal belongings out. And Fagan is the first woman

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Speaker 1: to lead a branch of the military, and predictably, the

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Speaker 1: rationale for her termination was border security issues and a

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Speaker 1: quote excessive focus on diversity, equity and inclusion. Yeah, this

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Speaker 1: is just a very Again, they're using all of this stuff,

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Speaker 1: anything linked with DEI to then, I think, just to

434
00:23:52,280 --> 00:23:55,320
Speaker 1: sort of transmit to their audience that, oh, she's out

435
00:23:55,320 --> 00:23:57,359
Speaker 1: because of DEI. Yeah, yeah, yeah, you can't do that,

436
00:23:57,400 --> 00:24:01,080
Speaker 1: because that's the new whatever, you know, the bad thing

437
00:24:01,240 --> 00:24:04,159
Speaker 1: is now. Then this week there was a report of

438
00:24:04,200 --> 00:24:08,639
Speaker 1: a DEI watch list that was targeting federal employees. The

439
00:24:08,720 --> 00:24:12,520
Speaker 1: list says it's quote exposing the unelected career staff driving

440
00:24:12,800 --> 00:24:17,640
Speaker 1: radical diversity, equity and inclusion initiatives within the federal government.

441
00:24:18,160 --> 00:24:22,159
Speaker 1: And on Thursday, Secretary of State Marco Rubio said that

442
00:24:22,200 --> 00:24:25,320
Speaker 1: he was going to skip the fucking G twenty summit

443
00:24:25,520 --> 00:24:29,440
Speaker 1: in South Africa because do I even have to finish

444
00:24:29,480 --> 00:24:33,720
Speaker 1: this sentence? He says, quote on x or fuck it

445
00:24:33,760 --> 00:24:37,119
Speaker 1: with on Twitter. South Africa is doing very bad things.

446
00:24:37,400 --> 00:24:41,880
Speaker 1: Expropriating private was written by Trump. They're doing very bad things,

447
00:24:42,040 --> 00:24:46,200
Speaker 1: very bad things. They're expropriating private property. Not true, using

448
00:24:46,680 --> 00:24:50,360
Speaker 1: using G twenty to promote quote solidarity, equality and sustainance

449
00:24:50,400 --> 00:24:55,200
Speaker 1: to sustainability, in other words, DEI and climate change. Rubio's

450
00:24:55,240 --> 00:24:59,120
Speaker 1: claims are nonsense. But we've seen this logic from racists before.

451
00:24:59,440 --> 00:25:02,880
Speaker 3: He was saying they're doing climate change or the no

452
00:25:02,880 --> 00:25:06,480
Speaker 3: no change is like just acknowledging sustainability.

453
00:25:06,520 --> 00:25:10,200
Speaker 1: That sustainability. You're not going to trick me. I don't.

454
00:25:10,240 --> 00:25:12,520
Speaker 1: The only thing I'm trying to sustain are these corporate profits,

455
00:25:12,520 --> 00:25:14,919
Speaker 1: baby and me with all that environmental nonsense.

456
00:25:15,000 --> 00:25:15,160
Speaker 3: Yeah.

457
00:25:15,440 --> 00:25:18,359
Speaker 1: So again, the South Africa stuff is something that Elon

458
00:25:18,440 --> 00:25:20,679
Speaker 1: Musk was saying, like they're taking things away from the

459
00:25:20,720 --> 00:25:22,440
Speaker 1: white the colonisers.

460
00:25:22,560 --> 00:25:25,400
Speaker 3: Basically, yeah, that's why it was so hard for him.

461
00:25:25,600 --> 00:25:28,080
Speaker 1: Yeah, yeah, absolutely, I mean why'd you leave in the

462
00:25:28,200 --> 00:25:32,040
Speaker 1: late eighties early nineties, bro? Anyway, whatever, that's fine.

463
00:25:32,119 --> 00:25:34,920
Speaker 3: It's usually fine. When white person leaves South Africa is

464
00:25:35,000 --> 00:25:36,840
Speaker 3: usually for a good reason that has good or one

465
00:25:37,359 --> 00:25:42,040
Speaker 3: shady undertones, no notifying human rights abuses hiding behind it.

466
00:25:42,440 --> 00:25:44,440
Speaker 1: But like we saw this logic in the summer of

467
00:25:44,440 --> 00:25:48,400
Speaker 1: twenty twenty, right, Like any amount of rebalancing the scales

468
00:25:48,440 --> 00:25:51,120
Speaker 1: to help people is seen as this zero sum game

469
00:25:51,160 --> 00:25:54,800
Speaker 1: where everything is being taken away from white people in

470
00:25:54,800 --> 00:25:57,960
Speaker 1: an order to achieve some semblance of equity. And again

471
00:25:58,480 --> 00:26:00,680
Speaker 1: this is all part of the plan and like it's

472
00:26:00,720 --> 00:26:03,639
Speaker 1: meant to normalize hate and maintain the sort of like

473
00:26:03,680 --> 00:26:08,040
Speaker 1: de facto white hegemony. And if people's sensitivities to hateful

474
00:26:08,080 --> 00:26:11,240
Speaker 1: policies wear down enough, then this administration knows they can

475
00:26:11,280 --> 00:26:14,520
Speaker 1: take things to truly unfathomable, like I mean, it's already unfathomable,

476
00:26:14,800 --> 00:26:17,880
Speaker 1: like things that we're not even saying right now. Who

477
00:26:17,920 --> 00:26:20,200
Speaker 1: knows what they have? I mean, we've read Project twenty

478
00:26:20,240 --> 00:26:23,120
Speaker 1: twenty five, so we have an idea, but it's all

479
00:26:23,240 --> 00:26:26,159
Speaker 1: part and parcel of this. And like Taya, you have,

480
00:26:26,760 --> 00:26:31,240
Speaker 1: you know, dedicated most of your career to equity, diversity inclusiveness,

481
00:26:31,720 --> 00:26:34,439
Speaker 1: like through entertainment and many other things, and you've spoken

482
00:26:34,480 --> 00:26:36,879
Speaker 1: a lot about it. How how do you sort of

483
00:26:36,880 --> 00:26:39,840
Speaker 1: see I mean, I'm sure over the many years you've

484
00:26:39,840 --> 00:26:41,920
Speaker 1: been doing this, you've seen this back and forth, back

485
00:26:41,960 --> 00:26:45,920
Speaker 1: and forth, But how are you viewing like this just rampant,

486
00:26:46,040 --> 00:26:49,080
Speaker 1: just sort of like thoughtless attack on DEI.

487
00:26:49,280 --> 00:26:52,920
Speaker 2: I've been doing this work, meaning diversity, equity inclusion even

488
00:26:52,960 --> 00:26:54,720
Speaker 2: before it was called diversity ecuay inclusion. In fact, the

489
00:26:54,800 --> 00:26:58,080
Speaker 2: name of my company is Entertaining diversity. And when I

490
00:26:58,119 --> 00:27:00,399
Speaker 2: was using that word back in the early nine nineties,

491
00:27:00,760 --> 00:27:03,040
Speaker 2: people didn't even know what it meant. Prior to that,

492
00:27:03,119 --> 00:27:06,920
Speaker 2: it was called race relations. You know, this is back

493
00:27:06,960 --> 00:27:10,080
Speaker 2: in the in the seventies and eighties, so the whole

494
00:27:10,119 --> 00:27:16,240
Speaker 2: concept of diversaic conclusion is very old, and we've seen

495
00:27:16,280 --> 00:27:19,000
Speaker 2: a lot of a lot of pushback over the years,

496
00:27:19,400 --> 00:27:23,400
Speaker 2: never like this. Never in my thirty three years in

497
00:27:23,440 --> 00:27:27,399
Speaker 2: this business, I've never seen it like this. It is

498
00:27:27,440 --> 00:27:29,560
Speaker 2: an outright attack. So I've never seen it like this.

499
00:27:30,119 --> 00:27:34,040
Speaker 1: Yeah, yeah, it's it's just wild to see. I mean, like,

500
00:27:34,160 --> 00:27:36,480
Speaker 1: for part of me feels like this is just sort

501
00:27:36,520 --> 00:27:39,200
Speaker 1: of a reaction to and we talked about this, I

502
00:27:39,200 --> 00:27:44,000
Speaker 1: think on yesterday's episode of just so many organizations going

503
00:27:44,040 --> 00:27:47,280
Speaker 1: along with this concept without really believing in it, so

504
00:27:47,600 --> 00:27:50,280
Speaker 1: it makes it very easy to backslide. We're like, it's

505
00:27:50,280 --> 00:27:53,840
Speaker 1: like they were holding there, going along with d I went, yeah,

506
00:27:53,840 --> 00:27:56,440
Speaker 1: theah o years. Oh thank god, okay, We're okay, sorry,

507
00:27:56,440 --> 00:27:58,239
Speaker 1: we can't. I don't even know how to do any

508
00:27:58,280 --> 00:28:00,040
Speaker 1: of this, and I really didn't care about it. So

509
00:28:00,600 --> 00:28:03,920
Speaker 1: thank god we're not being told this is the norm anymore.

510
00:28:04,359 --> 00:28:06,560
Speaker 1: But I don't know, like it it it just to

511
00:28:06,640 --> 00:28:09,280
Speaker 1: see this, like I see all the many ways they're

512
00:28:09,320 --> 00:28:15,360
Speaker 1: targeting this specifically. It's like a way to speak misogynistically, homophobically,

513
00:28:15,680 --> 00:28:19,560
Speaker 1: race in a racist manner without using you know, actual

514
00:28:19,640 --> 00:28:24,240
Speaker 1: slurs or supercharged language. It's like the perfect dog whistle

515
00:28:24,600 --> 00:28:26,639
Speaker 1: for them to use to sort of attack all of

516
00:28:26,680 --> 00:28:30,200
Speaker 1: these sort of these groups. But I also just see

517
00:28:30,240 --> 00:28:32,760
Speaker 1: it too as they're really just like with the stuff

518
00:28:32,800 --> 00:28:35,879
Speaker 1: with trying to like dial back like sexual liberation as

519
00:28:35,920 --> 00:28:38,840
Speaker 1: a way to control people's bodies, like dialing back this

520
00:28:39,160 --> 00:28:44,160
Speaker 1: like the the the validity and the like the noble

521
00:28:44,280 --> 00:28:47,120
Speaker 1: cause that is trying to create more equity in our

522
00:28:47,160 --> 00:28:50,200
Speaker 1: society to try to diminish that is all part of again,

523
00:28:50,560 --> 00:28:55,280
Speaker 1: to make like racism the default or at least indifference

524
00:28:55,320 --> 00:28:58,400
Speaker 1: to racism, like just sort of the law of the land,

525
00:28:58,520 --> 00:29:01,400
Speaker 1: and everybody saying like, look, we're past this, so now

526
00:29:01,760 --> 00:29:03,600
Speaker 1: let's operate from this understanding.

527
00:29:03,880 --> 00:29:06,000
Speaker 2: Well, going back to a Jackie, what you said earlier

528
00:29:06,080 --> 00:29:10,640
Speaker 2: about and then prompted the phrase distract and destroy. I

529
00:29:10,640 --> 00:29:14,440
Speaker 2: forget what phrase you used, but it's the distract part.

530
00:29:15,200 --> 00:29:18,520
Speaker 2: It's the distract part. What is really happening right, If

531
00:29:18,520 --> 00:29:21,360
Speaker 2: this is what we're focusing on, there's something else going on.

532
00:29:21,400 --> 00:29:22,240
Speaker 2: That's what I want to know.

533
00:29:23,240 --> 00:29:25,480
Speaker 1: Yeah, and I mean I think this is all. I

534
00:29:25,560 --> 00:29:28,080
Speaker 1: think a lot of it has to do with a

535
00:29:28,120 --> 00:29:30,920
Speaker 1: lot of the hijinks Elon Musk is pulling now in

536
00:29:31,000 --> 00:29:33,640
Speaker 1: terms of really like while all of this sort of

537
00:29:33,680 --> 00:29:36,360
Speaker 1: these policies are being rolled back, like what he's doing

538
00:29:36,440 --> 00:29:39,520
Speaker 1: is truly unprecedented, Like we've never just had somebody who's

539
00:29:39,560 --> 00:29:42,560
Speaker 1: not been elected, who's not even you know, has no

540
00:29:42,640 --> 00:29:46,080
Speaker 1: position aside from like a special office within the government,

541
00:29:46,560 --> 00:29:50,080
Speaker 1: to just pull up to the Treasury and be like, all, right,

542
00:29:50,120 --> 00:29:52,600
Speaker 1: hand everything over, I'm give me this. I'm plugging in

543
00:29:52,640 --> 00:29:55,560
Speaker 1: my servers here. This is how it's all happening. And yeah,

544
00:29:55,960 --> 00:29:59,520
Speaker 1: the damage that's being done there or the potential for damage, yeah,

545
00:29:59,560 --> 00:30:01,720
Speaker 1: we have quite Yeah, And.

546
00:30:01,760 --> 00:30:04,040
Speaker 3: I don't feel like it's only distraction because I think

547
00:30:04,080 --> 00:30:08,360
Speaker 3: it's also like a overall plan of attack, which is

548
00:30:08,480 --> 00:30:12,160
Speaker 3: break everything, and then when the thing is broken and

549
00:30:12,200 --> 00:30:15,360
Speaker 3: malfunctioning and people's lives are getting ruined, find a way

550
00:30:15,440 --> 00:30:19,560
Speaker 3: to blame you know, DEI a woman who has a job,

551
00:30:19,920 --> 00:30:23,240
Speaker 3: a black person who has a job, you know, finding

552
00:30:23,440 --> 00:30:28,040
Speaker 3: a way to give the people a scapegoat, which see

553
00:30:28,360 --> 00:30:32,840
Speaker 3: they've found works incredibly well, like they rode that all

554
00:30:32,880 --> 00:30:35,120
Speaker 3: the They rode racism all the way to the White House,

555
00:30:35,320 --> 00:30:38,040
Speaker 3: so they have they have the data to show that

556
00:30:38,160 --> 00:30:43,680
Speaker 3: like that that plan of break everything blame Dei. People

557
00:30:43,720 --> 00:30:46,720
Speaker 3: will kind of go along with that, and then as

558
00:30:47,280 --> 00:30:50,160
Speaker 3: the thing is broken, you get to enrich yourself by

559
00:30:50,320 --> 00:30:52,120
Speaker 3: figuring out how you want to build it back. Like

560
00:30:52,160 --> 00:30:54,880
Speaker 3: that seems to be a pretty good summation of like

561
00:30:54,920 --> 00:30:58,400
Speaker 3: their entire philosophy and like plan of attack at this point.

562
00:30:58,920 --> 00:31:03,520
Speaker 1: Yeah, yeah, I think the distraction part is that Weird

563
00:31:04,080 --> 00:31:06,920
Speaker 1: America is like on the brink of levels of class

564
00:31:06,960 --> 00:31:10,840
Speaker 1: consciousness that would make billionaires very nervous. Right. The Luigi

565
00:31:10,880 --> 00:31:15,920
Speaker 1: Mangioni thing was an absolute like warning to them. They're like,

566
00:31:15,960 --> 00:31:20,360
Speaker 1: what the fuck? People people don't care if like the

567
00:31:20,720 --> 00:31:23,440
Speaker 1: people who are at the levers of like a very

568
00:31:23,520 --> 00:31:27,680
Speaker 1: predatory business like for profit healthcare, if something like what

569
00:31:27,800 --> 00:31:30,520
Speaker 1: is going on? And I think being able to because

570
00:31:30,560 --> 00:31:33,800
Speaker 1: most people, most intelligent people would probably arrive to some

571
00:31:33,840 --> 00:31:37,160
Speaker 1: conclusion that it's a combination of like oligarchy kleptocracy, that

572
00:31:37,600 --> 00:31:41,040
Speaker 1: the wealthy are funneling all of the resources that normal

573
00:31:41,080 --> 00:31:44,000
Speaker 1: people need to live. It's going to them, and so

574
00:31:44,040 --> 00:31:47,360
Speaker 1: they're trying to explain away this phenomenon by just sort

575
00:31:47,360 --> 00:31:50,440
Speaker 1: of doing this blanket sort of explanation that it's like,

576
00:31:50,800 --> 00:31:53,680
Speaker 1: it's dude, it has nothing to do with the business owners.

577
00:31:53,800 --> 00:31:58,480
Speaker 1: It has everything to do with diversity, equity and inclusion. Yeah,

578
00:31:58,520 --> 00:32:01,840
Speaker 1: that's why. But again, and it's hard. It's it's a

579
00:32:01,880 --> 00:32:04,160
Speaker 1: hard point to sell. Like, sure, that's going to appeal

580
00:32:04,200 --> 00:32:07,200
Speaker 1: to people who are just inherently have these like racist,

581
00:32:07,200 --> 00:32:10,440
Speaker 1: bigoted beliefs that of course they just as people, they

582
00:32:10,520 --> 00:32:12,360
Speaker 1: don't want to see other people win, except for people

583
00:32:12,400 --> 00:32:14,800
Speaker 1: that look like them. But there are also people who

584
00:32:15,000 --> 00:32:17,680
Speaker 1: clearly are also sort of wising up on some level,

585
00:32:17,760 --> 00:32:19,920
Speaker 1: not at a point to the kind of critical mass

586
00:32:19,920 --> 00:32:22,560
Speaker 1: I think we need to sort of have something super

587
00:32:22,560 --> 00:32:25,719
Speaker 1: meaningful happen immediately, but to the point where there are

588
00:32:25,720 --> 00:32:28,760
Speaker 1: many people who are much more curious about talking about

589
00:32:28,800 --> 00:32:32,200
Speaker 1: billionaires and wondering what their part is in all of this.

590
00:32:32,640 --> 00:32:34,440
Speaker 1: And I think you just got to read their biography

591
00:32:34,440 --> 00:32:36,520
Speaker 1: of the mouth they get. They write biographies, so you

592
00:32:36,560 --> 00:32:38,800
Speaker 1: just read their version of it, and it's always a

593
00:32:38,840 --> 00:32:42,680
Speaker 1: really good source of how how they built whatever, how

594
00:32:42,720 --> 00:32:46,000
Speaker 1: they built their insurance company that they inherited from their dad,

595
00:32:46,120 --> 00:32:49,400
Speaker 1: in a garage by themselves while.

596
00:32:49,360 --> 00:32:51,720
Speaker 3: Everybody was telling them that they couldn't do it and

597
00:32:51,720 --> 00:32:52,320
Speaker 3: they were stupid.

598
00:32:52,400 --> 00:32:56,920
Speaker 1: Yeah, yeah, yeah, yeah, it's I mean it's it's super frightening.

599
00:32:56,920 --> 00:33:00,400
Speaker 1: And I mean, what do you usually when you try

600
00:33:00,480 --> 00:33:03,400
Speaker 1: and when you speak to groups of people about like

601
00:33:03,520 --> 00:33:06,760
Speaker 1: what diversity means and how that's a strength. What do

602
00:33:06,800 --> 00:33:09,160
Speaker 1: you like, especially in a group of people who have

603
00:33:09,240 --> 00:33:12,680
Speaker 1: never heard, like or even given a thought, what's you think?

604
00:33:12,680 --> 00:33:15,240
Speaker 1: What like a more underrated part that I mean aside

605
00:33:15,240 --> 00:33:17,280
Speaker 1: from that, like this is the right thing to do,

606
00:33:17,840 --> 00:33:21,240
Speaker 1: like that it's a source of stability strength, Like what

607
00:33:21,240 --> 00:33:23,320
Speaker 1: what are the sort of aspects of this that we're

608
00:33:23,360 --> 00:33:27,520
Speaker 1: not talking about? That if you take away this concept,

609
00:33:27,680 --> 00:33:32,200
Speaker 1: or at least the takeaway our interest and motivation to

610
00:33:32,280 --> 00:33:35,520
Speaker 1: pursue more diversity and equity, like what that does to

611
00:33:35,640 --> 00:33:36,680
Speaker 1: us in a negative way?

612
00:33:37,640 --> 00:33:41,600
Speaker 2: Well, I think that the United States is in many

613
00:33:41,640 --> 00:33:45,080
Speaker 2: ways unique, and certainly certain parts of the US, large

614
00:33:45,400 --> 00:33:50,520
Speaker 2: cities like New York Los Angeles are very inherently very

615
00:33:50,560 --> 00:33:53,680
Speaker 2: diverse and diverse in so many ways. If you've ever

616
00:33:53,680 --> 00:33:57,160
Speaker 2: been to New York City, you will hear many languages,

617
00:33:57,280 --> 00:34:00,200
Speaker 2: You'll see people dressed in all kinds of ways women

618
00:34:00,240 --> 00:34:06,560
Speaker 2: empowerment in power, and there's there's an affinity that is

619
00:34:07,320 --> 00:34:10,560
Speaker 2: very different in some ways from much of the country

620
00:34:11,120 --> 00:34:14,680
Speaker 2: in terms of living next door literally and on top

621
00:34:14,760 --> 00:34:18,960
Speaker 2: of each other with people who don't look, sound, smell

622
00:34:19,160 --> 00:34:22,480
Speaker 2: like you. You know, it's you know, it's such an

623
00:34:22,480 --> 00:34:25,719
Speaker 2: interesting place. My mother lived there for thirty years, you know,

624
00:34:26,120 --> 00:34:29,399
Speaker 2: it was it was always eye opening to know that

625
00:34:29,440 --> 00:34:32,200
Speaker 2: in the United States a place like this could exist.

626
00:34:32,239 --> 00:34:34,680
Speaker 2: One of the things that attracted me to staying in

627
00:34:34,680 --> 00:34:38,920
Speaker 2: the United States when I came here from Japan. Japan

628
00:34:39,080 --> 00:34:42,040
Speaker 2: is a very homogeneous place. At least it was very

629
00:34:42,120 --> 00:34:45,160
Speaker 2: much so back when I was growing up there. It's

630
00:34:45,280 --> 00:34:48,120
Speaker 2: changed a little bit, but you know, it's it's going

631
00:34:48,200 --> 00:34:54,080
Speaker 2: to take a long time. But the challenge is when

632
00:34:54,200 --> 00:34:59,160
Speaker 2: there are opportunities that are restricted against certain people for

633
00:34:59,280 --> 00:35:04,160
Speaker 2: their gender, their sex, their age, their race, their ethnicity,

634
00:35:04,200 --> 00:35:08,040
Speaker 2: their culture, then there's no way for them to succeed

635
00:35:08,239 --> 00:35:12,279
Speaker 2: in a country which promotes the idea of inclusion in

636
00:35:12,440 --> 00:35:16,480
Speaker 2: everything that's written from the early stages, even if it

637
00:35:16,560 --> 00:35:19,200
Speaker 2: wasn't carried out the way there should have been, especially

638
00:35:19,239 --> 00:35:22,279
Speaker 2: during slavery, and it certainly took quite a long time

639
00:35:22,320 --> 00:35:24,840
Speaker 2: for women to get the vote and for people have

640
00:35:24,920 --> 00:35:28,440
Speaker 2: call it to get the vote. The point of DEI

641
00:35:29,400 --> 00:35:34,160
Speaker 2: in a training model is to help support the idea

642
00:35:34,440 --> 00:35:38,839
Speaker 2: that people from different backgrounds and different experiences can work

643
00:35:38,880 --> 00:35:41,959
Speaker 2: together in ways to If it's B to B meaning

644
00:35:42,000 --> 00:35:45,360
Speaker 2: business to business, then organization, then it's so that the

645
00:35:45,400 --> 00:35:48,480
Speaker 2: company can succeed financially and they can make a profit.

646
00:35:48,880 --> 00:35:53,759
Speaker 2: So it is a somewhat of a capitalist nuance. But

647
00:35:53,840 --> 00:35:57,120
Speaker 2: when it comes to things like should you be able

648
00:35:57,160 --> 00:36:01,040
Speaker 2: to walk down the street and not afraid of someone

649
00:36:01,080 --> 00:36:04,600
Speaker 2: who doesn't look like you, it is because we're prompted

650
00:36:04,640 --> 00:36:08,400
Speaker 2: by so by the media and social media and the

651
00:36:08,400 --> 00:36:11,960
Speaker 2: world and the news and people like Trump. You know

652
00:36:12,040 --> 00:36:16,080
Speaker 2: that that to scare, the scare tactic is what causes

653
00:36:16,120 --> 00:36:19,440
Speaker 2: people to have paused before engaging with people who are

654
00:36:19,480 --> 00:36:23,879
Speaker 2: not like themselves. So DEI is not is not a

655
00:36:24,040 --> 00:36:26,920
Speaker 2: solution so much at is it's a support for people

656
00:36:26,920 --> 00:36:29,960
Speaker 2: to understand how to work across differences.

657
00:36:30,400 --> 00:36:30,840
Speaker 1: Yeah.

658
00:36:31,000 --> 00:36:34,000
Speaker 3: Yeah, we've covered before, but one of my favorite soft

659
00:36:34,040 --> 00:36:39,080
Speaker 3: sciences studies when they like tested these like groups and

660
00:36:39,239 --> 00:36:42,480
Speaker 3: like they had groups that are diverse and then groups

661
00:36:42,520 --> 00:36:46,279
Speaker 3: that are not diverse at solving like a challenging problem.

662
00:36:46,719 --> 00:36:50,000
Speaker 3: The two results are one that the diverse group does

663
00:36:50,040 --> 00:36:53,200
Speaker 3: better at solving the problem because you have more different

664
00:36:53,239 --> 00:36:56,879
Speaker 3: types of minds coming at the problem from different you know, backgrounds,

665
00:36:56,920 --> 00:37:01,560
Speaker 3: different experiences. But second that the non diver like the

666
00:37:01,600 --> 00:37:05,279
Speaker 3: homogeneous group, is more confident that they got the right

667
00:37:05,719 --> 00:37:09,000
Speaker 3: answer even though they're they're more likely to be wrong

668
00:37:09,640 --> 00:37:14,200
Speaker 3: because they're just it's like less challenging, you know, it's

669
00:37:14,239 --> 00:37:19,359
Speaker 3: more comfortable for them, and so they just comfortably you know,

670
00:37:19,440 --> 00:37:22,920
Speaker 3: strong and wrong, which I think matches would be a

671
00:37:22,920 --> 00:37:27,040
Speaker 3: good summation of this administration where they're just you know,

672
00:37:27,600 --> 00:37:31,359
Speaker 3: very confident, very comfortable in their privilege and in their

673
00:37:31,440 --> 00:37:36,200
Speaker 3: like shared experiences and just fucking couldn't be more wrong

674
00:37:36,360 --> 00:37:40,840
Speaker 3: about more things. So yeah, and it just feels like anytime,

675
00:37:41,840 --> 00:37:45,440
Speaker 3: the the fact is that like this backlash and this

676
00:37:45,520 --> 00:37:51,000
Speaker 3: backlash that we've seen historically every time white supremacy is

677
00:37:51,120 --> 00:37:54,880
Speaker 3: challenged in this country, and like white male supremacy in particular,

678
00:37:55,320 --> 00:37:59,080
Speaker 3: the backlash is just like that's what they're reacting to,

679
00:37:59,520 --> 00:38:02,560
Speaker 3: is the comfort that's cost when people are like, what

680
00:38:02,680 --> 00:38:05,880
Speaker 3: if it's not just only you guys in a room

681
00:38:06,200 --> 00:38:09,600
Speaker 3: smoking cigars and making the decision for with that.

682
00:38:10,040 --> 00:38:14,000
Speaker 1: What's wrong with that? It's discomfort.

683
00:38:14,080 --> 00:38:18,000
Speaker 3: It's the discomfort, and I think I've always like had

684
00:38:18,080 --> 00:38:22,080
Speaker 3: this sense that it's also a knowledge deep down that

685
00:38:22,160 --> 00:38:27,120
Speaker 3: it is superior to have diversity, and like they're terrified

686
00:38:27,160 --> 00:38:29,400
Speaker 3: of that, and so that's where the violence comes from,

687
00:38:29,560 --> 00:38:32,320
Speaker 3: the sense that they know they're wrong, and they're.

688
00:38:32,200 --> 00:38:36,040
Speaker 2: Well, if you're there, if the January sixth attack was

689
00:38:36,160 --> 00:38:39,520
Speaker 2: all black people, or all people of color, or all gay,

690
00:38:39,640 --> 00:38:42,759
Speaker 2: gay and lesbian people, you know, that would have been

691
00:38:42,800 --> 00:38:44,440
Speaker 2: a completely different response.

692
00:38:45,960 --> 00:38:46,880
Speaker 1: Yeah.

693
00:38:47,200 --> 00:38:49,200
Speaker 2: Right, I mean, you know, to say that they were

694
00:38:49,239 --> 00:38:52,239
Speaker 2: there for you know, they were there as tourists or

695
00:38:52,280 --> 00:38:56,239
Speaker 2: just to kind of visit is not just an understatement.

696
00:38:56,239 --> 00:39:03,320
Speaker 2: It's dangerous because they it was an attack. People died, right, Yeah, Well, we'll.

697
00:39:03,200 --> 00:39:06,839
Speaker 1: See how well this works. I mean, this is this

698
00:39:06,960 --> 00:39:09,839
Speaker 1: is they continue to hammer and hammer away at it

699
00:39:09,880 --> 00:39:11,919
Speaker 1: and to the point now where like people don't it's

700
00:39:11,920 --> 00:39:14,120
Speaker 1: like the same like how it was everything was woke

701
00:39:14,239 --> 00:39:16,600
Speaker 1: and they couldn't even like the people had trouble really

702
00:39:16,600 --> 00:39:19,520
Speaker 1: explaining woke. Woke is yeah, yeah, because in the end

703
00:39:19,560 --> 00:39:23,399
Speaker 1: you're gonna arrive at something like that's actually like a

704
00:39:23,440 --> 00:39:26,360
Speaker 1: decent thing where you know, not not to just be

705
00:39:26,440 --> 00:39:30,839
Speaker 1: like it just means they hate like white people's stuff. No, No,

706
00:39:30,960 --> 00:39:34,400
Speaker 1: it's it's about actually being like respectful of other people's

707
00:39:34,440 --> 00:39:37,680
Speaker 1: differences and trying to create a world where we're able

708
00:39:37,719 --> 00:39:40,799
Speaker 1: to respect all that so everyone can live to be

709
00:39:41,000 --> 00:39:43,319
Speaker 1: themselves in a way that they don't feel that they're

710
00:39:43,400 --> 00:39:47,120
Speaker 1: under duress or threat because they are straying outside of

711
00:39:47,160 --> 00:39:50,160
Speaker 1: whatever is dictated as quote the norm. Uh. And guess

712
00:39:50,239 --> 00:39:52,640
Speaker 1: what for all the people, it's not gonna hurt you.

713
00:39:52,960 --> 00:39:56,520
Speaker 1: It won't hurt you. In fact that if that everyone

714
00:39:56,880 --> 00:40:00,560
Speaker 1: is like living on an equitable like playing field. Actually,

715
00:40:00,880 --> 00:40:03,680
Speaker 1: that's where real stability comes from. When you have people

716
00:40:03,680 --> 00:40:06,560
Speaker 1: that are like left to just rot by the wayside.

717
00:40:06,960 --> 00:40:10,480
Speaker 1: That's that's that's truly like the beginnings of how so

718
00:40:10,560 --> 00:40:14,080
Speaker 1: many of our our issues come about. But again, yeah,

719
00:40:14,080 --> 00:40:16,480
Speaker 1: this is all about just sort of defending the concept

720
00:40:16,480 --> 00:40:19,640
Speaker 1: of like we're the most right people and anything that

721
00:40:19,760 --> 00:40:23,239
Speaker 1: is contrary to that is an attack and we will

722
00:40:23,239 --> 00:40:23,799
Speaker 1: target you.

723
00:40:24,440 --> 00:40:27,840
Speaker 3: Yeah, as you know, being who I am, I have

724
00:40:27,920 --> 00:40:29,919
Speaker 3: to say I'm very confident they're going to get this right.

725
00:40:30,080 --> 00:40:34,880
Speaker 3: Trump And Uh, as a white guy, I feel like

726
00:40:34,920 --> 00:40:35,440
Speaker 3: they got this.

727
00:40:37,640 --> 00:40:39,160
Speaker 1: I just think we should just chill.

728
00:40:39,360 --> 00:40:41,600
Speaker 3: I'm I have a high level of confidence.

729
00:40:41,760 --> 00:40:46,719
Speaker 1: And I mean someone asking Tommy Tuberville, a football coach,

730
00:40:46,760 --> 00:40:50,439
Speaker 1: They're like, did you just feel all white players? Why not? Right?

731
00:40:50,719 --> 00:40:53,600
Speaker 1: Why not? Huh? Why not that? Why don't you keep

732
00:40:53,600 --> 00:40:55,400
Speaker 1: it a buck? Because that looked like I mean that,

733
00:40:55,719 --> 00:40:58,920
Speaker 1: this is like again, the logic is so fucking flimsy.

734
00:40:59,400 --> 00:41:02,760
Speaker 2: But again, and how we went from the giggling Elmo

735
00:41:03,000 --> 00:41:07,360
Speaker 2: to Jeffrey Dahmer overnight? Ye, I don't know how that happened.

736
00:41:07,760 --> 00:41:09,960
Speaker 3: Yeah, I mean I will say one thought that occurred

737
00:41:10,000 --> 00:41:12,200
Speaker 3: to me just as you were talking about, like their

738
00:41:12,760 --> 00:41:17,359
Speaker 3: you know, treatment of Commandant Linda Fagan, like somebody who

739
00:41:17,960 --> 00:41:20,400
Speaker 3: the first woman to lead a branch of the military

740
00:41:21,040 --> 00:41:25,239
Speaker 3: despite being a woman, like not not because being like

741
00:41:25,400 --> 00:41:29,799
Speaker 3: despite up against one of the most sexist organizations in

742
00:41:29,840 --> 00:41:34,719
Speaker 3: the history of a civilization. Like these are people that

743
00:41:34,800 --> 00:41:38,120
Speaker 3: I have to feel like it's not wise of Trump

744
00:41:38,200 --> 00:41:41,759
Speaker 3: and Musk and this whole administration to just be blindly

745
00:41:42,400 --> 00:41:45,640
Speaker 3: alienating and making enemies of and then being like, all right,

746
00:41:45,840 --> 00:41:46,319
Speaker 3: you're out on.

747
00:41:46,360 --> 00:41:47,520
Speaker 1: Your ass, see you later.

748
00:41:47,840 --> 00:41:51,120
Speaker 3: Like I feel like at some point that could come

749
00:41:51,120 --> 00:41:52,320
Speaker 3: back and bite them in the ass.

750
00:41:52,360 --> 00:41:53,000
Speaker 1: We'll see.

751
00:41:53,040 --> 00:41:56,080
Speaker 3: But like I just you know, everybody's like he's being strong,

752
00:41:56,320 --> 00:41:58,319
Speaker 3: and it's like, yeah, I think he's like not, I

753
00:41:58,320 --> 00:42:00,920
Speaker 3: think he's like more like a handle with a D.

754
00:42:01,080 --> 00:42:04,200
Speaker 3: D feels like what where he's coming from.

755
00:42:04,440 --> 00:42:09,920
Speaker 2: That's a great cartoon character, rightandal a horse in a hospital,

756
00:42:09,920 --> 00:42:12,320
Speaker 2: as John Mulaney called it, or yeah.

757
00:42:13,920 --> 00:42:15,919
Speaker 1: I mean I think. I mean you just look right now,

758
00:42:16,120 --> 00:42:20,600
Speaker 1: it's like Trump is just basically eroding all American soft

759
00:42:20,680 --> 00:42:24,040
Speaker 1: power too, Like in this thing to be like in

760
00:42:24,120 --> 00:42:25,799
Speaker 1: America is going to be dominant. It's like you think

761
00:42:25,840 --> 00:42:28,520
Speaker 1: you're gonna do that on your fucking own. We're not,

762
00:42:29,120 --> 00:42:32,480
Speaker 1: And you're gonna other other relationships are going to are

763
00:42:32,640 --> 00:42:36,040
Speaker 1: already forming because of the actions of this administration that

764
00:42:36,120 --> 00:42:38,759
Speaker 1: will put the US in jeopardy, whether that's you know,

765
00:42:38,840 --> 00:42:43,239
Speaker 1: from a security standpoint or financially economically whatever. But yeah,

766
00:42:43,360 --> 00:42:45,320
Speaker 1: all of this stuff. I mean, that's what's funny is

767
00:42:45,360 --> 00:42:48,440
Speaker 1: when you when you pursue a policy that's like it

768
00:42:48,600 --> 00:42:51,680
Speaker 1: only needs to be us and that's it, you're gonna

769
00:42:51,760 --> 00:42:56,120
Speaker 1: fail because inherently we do. This is all interconnected and

770
00:42:56,160 --> 00:42:58,200
Speaker 1: we do depend on each other. It's not like America's

771
00:42:58,200 --> 00:43:01,600
Speaker 1: its own fucking planet where it's not like and it's like,

772
00:43:01,800 --> 00:43:03,560
Speaker 1: that's it, and we don't have to worry about anything

773
00:43:03,560 --> 00:43:05,880
Speaker 1: because we are this is our own ecosystem, and everything

774
00:43:05,880 --> 00:43:07,799
Speaker 1: else it will just fall in mine because it's just us.

775
00:43:08,760 --> 00:43:11,480
Speaker 1: It's it's very, very, very stupid.

776
00:43:11,520 --> 00:43:14,200
Speaker 2: And I just wish, I wish they saw how stupid.

777
00:43:13,800 --> 00:43:15,839
Speaker 1: This is, but I guess not. This is their this

778
00:43:15,880 --> 00:43:16,879
Speaker 1: is their fantasy times.

779
00:43:16,880 --> 00:43:18,840
Speaker 2: It's hard to see that you're stupid when you're stupid.

780
00:43:19,120 --> 00:43:21,239
Speaker 1: Yeah, it is. That's true. When I was at my

781
00:43:21,280 --> 00:43:24,920
Speaker 1: stupidest in my early twenties, that was a fucking genius.

782
00:43:24,960 --> 00:43:30,359
Speaker 3: You couldn't tell me shit, the most confident I've ever been.

783
00:43:30,560 --> 00:43:34,239
Speaker 1: Oh my god, my stupidest. That that fall from when

784
00:43:34,280 --> 00:43:37,279
Speaker 1: you realize how stupid you are, that's a fuck. That's

785
00:43:37,320 --> 00:43:39,040
Speaker 1: the worst pill you have to swallow.

786
00:43:39,320 --> 00:43:41,480
Speaker 3: Like, especially I'm wearing clothes.

787
00:43:41,719 --> 00:43:45,200
Speaker 2: Yeah, it's just like you have never done that.

788
00:43:45,719 --> 00:43:49,479
Speaker 3: Yeah, you've never looked down and realize you're not wearing clothes. No, no,

789
00:43:50,080 --> 00:43:50,360
Speaker 3: I have to.

790
00:43:50,400 --> 00:43:53,319
Speaker 1: Hey, you simply must. It's such a great experience. You

791
00:43:53,440 --> 00:43:57,080
Speaker 1: simply must be thrown out of multiple iye hops in

792
00:43:57,160 --> 00:43:58,279
Speaker 1: the span of one month.

793
00:43:58,360 --> 00:44:01,680
Speaker 3: It's come to from a blackout and realize you're not

794
00:44:01,719 --> 00:44:02,480
Speaker 3: wearing clothes.

795
00:44:02,560 --> 00:44:04,239
Speaker 2: Those pancakes are stacked.

796
00:44:04,640 --> 00:44:06,320
Speaker 1: Yeah, yeah, it's on my body.

797
00:44:06,600 --> 00:44:09,400
Speaker 3: Caked up in many ways, in many ways, he was

798
00:44:09,480 --> 00:44:12,319
Speaker 3: caked up. All right, let's take a quick break. We'll

799
00:44:12,360 --> 00:44:14,640
Speaker 3: come back and talk about the asteroid that could hit Earth.

800
00:44:15,040 --> 00:44:27,320
Speaker 3: We'll be right back and we're back.

801
00:44:28,000 --> 00:44:35,040
Speaker 1: Yeah, and we're back. Be better, dude, do oh wow,

802
00:44:35,160 --> 00:44:38,239
Speaker 1: it's like a yacht rock than Golden Oldies. Baby. On

803
00:44:38,280 --> 00:44:40,960
Speaker 1: the daily side, Geist Miles, I like this headline.

804
00:44:40,960 --> 00:44:42,920
Speaker 3: I'll let you read your headline here.

805
00:44:42,960 --> 00:44:45,319
Speaker 1: Oh yeah, I wrote, Oh thank god, an asteroid could

806
00:44:45,360 --> 00:44:51,120
Speaker 1: hit Earth in twenty thirty two. That's it. Hard reset time, baby. Yeah.

807
00:44:51,160 --> 00:44:55,080
Speaker 1: So twenty thirty two, the year Donald Trump's disembodied head

808
00:44:55,160 --> 00:44:58,719
Speaker 1: that speaks using AI will run for its third consecutive

809
00:44:58,840 --> 00:45:02,279
Speaker 1: term in office. But hey, if Democrats play their cards right,

810
00:45:02,360 --> 00:45:05,040
Speaker 1: they won't have to do anything because an asteroid has

811
00:45:05,040 --> 00:45:07,920
Speaker 1: the potential to smash into Earth. At the end of

812
00:45:08,000 --> 00:45:12,720
Speaker 1: last year, so that the Asteroid Terrestrial Impact Impact Last Alert

813
00:45:12,760 --> 00:45:16,080
Speaker 1: System at list noticed an asteroid that was making its

814
00:45:16,080 --> 00:45:19,040
Speaker 1: way over to our little blue Marble and its orbit

815
00:45:19,120 --> 00:45:21,680
Speaker 1: had the chance of impacting Earth. In twenty twenty eight,

816
00:45:21,840 --> 00:45:25,240
Speaker 1: but that was quickly ruled out. But on its next

817
00:45:25,280 --> 00:45:27,959
Speaker 1: go round in twenty thirty two, they're saying there's about

818
00:45:28,000 --> 00:45:31,759
Speaker 1: a one point nine percent chance that it could hit

819
00:45:32,160 --> 00:45:37,279
Speaker 1: the planet Earth States of America. And first of all,

820
00:45:37,280 --> 00:45:38,759
Speaker 1: I'm like, why the fuck is this thing tied to

821
00:45:38,800 --> 00:45:41,880
Speaker 1: presidential cycles. I don't like the I don't like the

822
00:45:41,960 --> 00:45:44,880
Speaker 1: idea that it's orbit comes around every presidential cycle. They're like,

823
00:45:44,880 --> 00:45:47,239
Speaker 1: we're twenty thirty six. I don't know ab time. I

824
00:45:47,280 --> 00:45:49,520
Speaker 1: hope you have a super pac asteroid. It's a big

825
00:45:49,560 --> 00:45:52,719
Speaker 1: fan of the Olympics. Yeah, it's just like roll through

826
00:45:53,840 --> 00:45:57,120
Speaker 1: before you start cruising, like deep core drilling companies looking

827
00:45:57,120 --> 00:45:59,480
Speaker 1: for your next Bruce Willis. It's important to note a

828
00:45:59,520 --> 00:46:03,360
Speaker 1: few things. First. Experts say that as they gather more

829
00:46:03,440 --> 00:46:06,320
Speaker 1: data about the trajectory of the asteroid, they will most

830
00:46:06,480 --> 00:46:10,080
Speaker 1: likely be reducing the odds of impact to zero. That's

831
00:46:10,120 --> 00:46:12,799
Speaker 1: usually what happens every time. They're like, the first one,

832
00:46:12,880 --> 00:46:14,600
Speaker 1: we get a little bit. But as we can see

833
00:46:14,680 --> 00:46:17,399
Speaker 1: right now where it's at, we can kind of, you know,

834
00:46:17,520 --> 00:46:20,640
Speaker 1: extrapolate that data to see, okay, what are our chances.

835
00:46:20,920 --> 00:46:26,680
Speaker 1: But but if there's still a chance that the asteroid

836
00:46:26,719 --> 00:46:32,439
Speaker 1: could hit us. There are options on the tablena no

837
00:46:33,640 --> 00:46:40,120
Speaker 1: let it cook, sir, let the asteroid. If the data

838
00:46:40,200 --> 00:46:41,880
Speaker 1: this is from our technical quote. If the data in

839
00:46:41,880 --> 00:46:43,920
Speaker 1: a few months still shows that the asteroid poses a

840
00:46:43,960 --> 00:46:45,880
Speaker 1: hazard to Earth, it will be time for the World

841
00:46:46,000 --> 00:46:50,279
Speaker 1: Space Agencies to consider a deflection mission. NASA demonstrated its

842
00:46:50,280 --> 00:46:52,680
Speaker 1: ability to alter the orbit of an asteroid in twenty

843
00:46:52,719 --> 00:46:55,680
Speaker 1: twenty two with a first of its kind experiment in space.

844
00:46:55,800 --> 00:46:58,640
Speaker 1: The mission, called Dart, put a small aircraft on a

845
00:46:58,640 --> 00:47:01,960
Speaker 1: collision course with an ASHTRAI two to four times larger

846
00:47:02,200 --> 00:47:04,480
Speaker 1: than two zero two four yr four that's the name

847
00:47:04,760 --> 00:47:07,400
Speaker 1: of our next president and asteroid, and they were able

848
00:47:07,400 --> 00:47:10,359
Speaker 1: to alter the trajectory like with this like impact. So

849
00:47:11,040 --> 00:47:14,120
Speaker 1: this uh are this asteroid is about forty to ninety

850
00:47:14,360 --> 00:47:17,800
Speaker 1: meters Okay, don't ask me what that is in imperial measurements.

851
00:47:18,120 --> 00:47:21,040
Speaker 1: I don't fucking know. That could have a blast radius

852
00:47:21,040 --> 00:47:24,640
Speaker 1: that could potentially take out a small city. But experts

853
00:47:24,680 --> 00:47:27,440
Speaker 1: are saying but even if those like off earth interventions

854
00:47:27,440 --> 00:47:30,160
Speaker 1: don't work, there would be ample time to evacuate the

855
00:47:30,200 --> 00:47:34,279
Speaker 1: impact zone. Okay, so you know they're saying you said that,

856
00:47:34,360 --> 00:47:42,719
Speaker 1: like Joe Namath telling about the impact. Yeah, I just

857
00:47:42,719 --> 00:47:45,120
Speaker 1: want to kiss you. I just want to kiss you, asteroid.

858
00:47:45,560 --> 00:47:47,719
Speaker 1: So when pieces of ship tell you we don't need

859
00:47:47,760 --> 00:47:50,839
Speaker 1: to fund scientific research, remind them that we could get

860
00:47:50,960 --> 00:47:55,120
Speaker 1: armageddon without things like NASA and other space agencies and

861
00:47:55,200 --> 00:47:56,680
Speaker 1: you know science.

862
00:47:57,239 --> 00:48:01,640
Speaker 3: What perfect timing for to find out this information? As

863
00:48:01,640 --> 00:48:06,600
Speaker 3: Elon Musk is like taking over the US and like,

864
00:48:06,920 --> 00:48:10,600
Speaker 3: you know, trying to privatize NASA, somebody who's like again

865
00:48:11,320 --> 00:48:15,320
Speaker 3: whose incompetence is only outmatched by his confidence in himself.

866
00:48:15,600 --> 00:48:18,440
Speaker 2: But he's also trying to take over Mars, right, So

867
00:48:18,520 --> 00:48:21,480
Speaker 2: I think, why is it always Earth that these meteors

868
00:48:21,520 --> 00:48:24,160
Speaker 2: are going to hit But like, why not Marsh?

869
00:48:24,239 --> 00:48:24,640
Speaker 1: They do?

870
00:48:24,760 --> 00:48:27,879
Speaker 3: They hit it Mars and the Moon like that's where

871
00:48:27,920 --> 00:48:30,800
Speaker 3: the moon craters our punch frag. Yeah, the moon gets

872
00:48:30,880 --> 00:48:33,920
Speaker 3: fucking the moon gets its shit rocked all the time.

873
00:48:35,160 --> 00:48:37,480
Speaker 3: But also when the Moon gets is ship rocked, Like

874
00:48:37,680 --> 00:48:40,239
Speaker 3: it just never goes away, Like there's still the footprints

875
00:48:40,239 --> 00:48:43,360
Speaker 3: from the astronauts, like just like they were when they

876
00:48:43,440 --> 00:48:46,680
Speaker 3: left them because there's no atmosphere or wind or anything

877
00:48:46,719 --> 00:48:49,560
Speaker 3: to disturb it. So maybe it doesn't get rocked as

878
00:48:49,600 --> 00:48:52,480
Speaker 3: much as I would have indicated a moment ago, but.

879
00:48:52,640 --> 00:48:55,920
Speaker 1: It's done in the course of its whole career. Yeah,

880
00:48:56,000 --> 00:48:58,000
Speaker 1: oh the moons. I'm not talking about it, just our

881
00:48:58,120 --> 00:48:59,160
Speaker 1: recorded time, dude.

882
00:48:59,160 --> 00:49:04,160
Speaker 3: That moon's rocking data is pretty pretty high. But also

883
00:49:04,360 --> 00:49:09,600
Speaker 3: Elon Musk and like, those are people who would welcome this,

884
00:49:10,160 --> 00:49:12,320
Speaker 3: Like they because they're not gonna be in the fucking

885
00:49:12,360 --> 00:49:17,399
Speaker 3: city like evacuating people, and they like his whole thing

886
00:49:17,560 --> 00:49:20,600
Speaker 3: is like he wants to repopulate the Earth with his

887
00:49:20,640 --> 00:49:25,960
Speaker 3: own dick, like you know, like that, so like truly strange,

888
00:49:26,160 --> 00:49:29,120
Speaker 3: Doctor Strangelove fucking predicted everything like that.

889
00:49:29,280 --> 00:49:30,720
Speaker 1: It really did. Like that.

890
00:49:31,719 --> 00:49:35,600
Speaker 3: It's a dark comedy that came true unfortunately, but like

891
00:49:35,680 --> 00:49:39,160
Speaker 3: that is a real concern. I do think if this

892
00:49:39,239 --> 00:49:43,360
Speaker 3: administration found out about a planet destroying, you know, asteroid

893
00:49:43,400 --> 00:49:46,560
Speaker 3: that was coming towards Earth, like first of all, just

894
00:49:46,680 --> 00:49:49,239
Speaker 3: ask yourself, Like that would be a good gut check

895
00:49:49,320 --> 00:49:52,719
Speaker 3: for Trump supporters, is like is this really who you

896
00:49:52,760 --> 00:49:56,399
Speaker 3: think would be? Like you find out tomorrow and asteroid's coming,

897
00:49:56,719 --> 00:49:58,600
Speaker 3: are you really gonna feel good? You can be like

898
00:49:58,719 --> 00:50:02,840
Speaker 3: he's the guy to get it. Yeah, you're direct so fast.

899
00:50:02,920 --> 00:50:07,880
Speaker 1: Yeah, the dude who looked directs, Yeah, right exactly because

900
00:50:07,880 --> 00:50:10,800
Speaker 1: I mean it would take a multinational effort. That's a

901
00:50:10,840 --> 00:50:14,720
Speaker 1: different space. Well, we're already The thing is, we're already

902
00:50:14,760 --> 00:50:18,480
Speaker 1: speed like this. This group that convenes is like the Russians, China,

903
00:50:18,800 --> 00:50:23,560
Speaker 1: Us and like the European Space Agency like that. When

904
00:50:23,560 --> 00:50:25,520
Speaker 1: it comes to that shit, we know how to be like,

905
00:50:25,520 --> 00:50:27,600
Speaker 1: all right, bro, we're all on this fucker together, so

906
00:50:27,640 --> 00:50:29,280
Speaker 1: we need to figure out what we're gonna do together

907
00:50:29,400 --> 00:50:33,760
Speaker 1: before you know, the Orange man finds out. But yeah,

908
00:50:33,880 --> 00:50:35,880
Speaker 1: I found it kind of refreshing though to read an

909
00:50:35,960 --> 00:50:38,719
Speaker 1: article normally, like every time, you know, like just these

910
00:50:38,719 --> 00:50:41,600
Speaker 1: like headlines or like nasteroids gonna hit in twenty thirty two,

911
00:50:41,880 --> 00:50:45,120
Speaker 1: But this article in our Technica, because they're people who

912
00:50:45,120 --> 00:50:48,080
Speaker 1: are actively very interested in science and communicating science that

913
00:50:48,160 --> 00:50:51,359
Speaker 1: it's like, well, look, there's this can happen, or this

914
00:50:51,400 --> 00:50:54,240
Speaker 1: can happen, and if it hits, it might only impact

915
00:50:54,239 --> 00:50:56,919
Speaker 1: like maybe like a thirty mile radius and most likely

916
00:50:56,960 --> 00:50:59,239
Speaker 1: it's probably gonna hit the ocean if it were, or

917
00:50:59,239 --> 00:51:01,680
Speaker 1: some remote area based on where all of our population

918
00:51:01,800 --> 00:51:04,239
Speaker 1: centers are. But I liked it because I think the

919
00:51:04,719 --> 00:51:07,760
Speaker 1: headline it was very good. It said, what was the subheadline?

920
00:51:08,000 --> 00:51:10,640
Speaker 1: More data will likely reduce a chance of impact to zero.

921
00:51:10,760 --> 00:51:13,640
Speaker 1: If not, we have options. I'm like, oh great, great,

922
00:51:13,640 --> 00:51:14,480
Speaker 1: we have options.

923
00:51:15,160 --> 00:51:19,440
Speaker 3: Give People Magazine, People dot Com a crack at that headline,

924
00:51:19,520 --> 00:51:22,600
Speaker 3: Like we talked about this lung cancer article from on

925
00:51:22,719 --> 00:51:27,040
Speaker 3: yesterday's trending from people those like lung cancer increasing among

926
00:51:27,080 --> 00:51:32,080
Speaker 3: people who have never smoked. Here's why, why why? Yeah,

927
00:51:32,120 --> 00:51:34,160
Speaker 3: you're gonna have to click through to find out, asshole,

928
00:51:34,360 --> 00:51:39,040
Speaker 3: go fuck yourself, hide the dark heart of our civilization

929
00:51:39,239 --> 00:51:43,000
Speaker 3: behind a clickbait headline. And that is why we love people,

930
00:51:43,040 --> 00:51:47,760
Speaker 3: don't we folks? All right, Well, good great reporting ours

931
00:51:47,800 --> 00:51:49,240
Speaker 3: Technica and Miles.

932
00:51:49,600 --> 00:51:53,280
Speaker 1: Yeah that I didn't I read a thing out loud

933
00:51:53,320 --> 00:51:57,759
Speaker 1: and that it's called podcast reporting. Yeah, that's that's that's

934
00:51:57,760 --> 00:51:59,000
Speaker 1: where the bar is for reporting.

935
00:51:59,280 --> 00:52:01,759
Speaker 3: That is, Like I I remember covering the story where

936
00:52:01,760 --> 00:52:05,800
Speaker 3: they like kind of nudged that asteroid off its course,

937
00:52:06,320 --> 00:52:10,200
Speaker 3: but I didn't really like that's pretty cool that it.

938
00:52:10,400 --> 00:52:13,799
Speaker 3: Like this one, which is a potential, you know, potentially

939
00:52:14,200 --> 00:52:17,200
Speaker 3: catastrophic collision, is like not even as big as the

940
00:52:17,200 --> 00:52:18,360
Speaker 3: one they were able to nudge.

941
00:52:18,760 --> 00:52:22,280
Speaker 1: Yeah no, yeah, that one was huge, huge.

942
00:52:22,920 --> 00:52:25,800
Speaker 2: Well, we can't nudge the unemployment rate.

943
00:52:25,920 --> 00:52:30,240
Speaker 1: Am I right? Over here. Yeah.

944
00:52:30,320 --> 00:52:32,920
Speaker 3: Yeah, that's it's going to take an asteroid for us

945
00:52:32,960 --> 00:52:35,080
Speaker 3: to do ship to save people, and it's.

946
00:52:34,920 --> 00:52:36,480
Speaker 2: Going to take the metric system.

947
00:52:36,719 --> 00:52:40,680
Speaker 3: Yeah, please, the metrics at like our imperial system. Clashing

948
00:52:40,680 --> 00:52:43,120
Speaker 3: with the metric system has caused so many fuck ups

949
00:52:43,160 --> 00:52:44,360
Speaker 3: in the past.

950
00:52:44,719 --> 00:52:48,399
Speaker 1: Yeah, could you imagine that? Like, dude, we totally biffed that.

951
00:52:48,600 --> 00:52:52,600
Speaker 1: Uh mission, I forget what Yeah? Wait, what is it?

952
00:52:52,680 --> 00:52:54,920
Speaker 2: The it landed on Mars. It was supposed to land

953
00:52:55,000 --> 00:52:56,040
Speaker 2: on Mars and it crashed.

954
00:52:56,719 --> 00:52:59,200
Speaker 3: I think, I think, Yeah, that's the one. So nobody

955
00:52:59,320 --> 00:53:03,000
Speaker 3: died a robot. How NASA lost a spacecraft from a

956
00:53:03,040 --> 00:53:06,719
Speaker 3: metric math mistake. This was back in twenty twenty three.

957
00:53:07,160 --> 00:53:08,879
Speaker 3: Oh no, no, it was in ninety nine.

958
00:53:09,400 --> 00:53:10,640
Speaker 2: That Yeah, it was a while ago.

959
00:53:10,680 --> 00:53:13,120
Speaker 1: Anyway, we've gotten it together since.

960
00:53:13,200 --> 00:53:15,840
Speaker 3: Well, Taya, it's been a pleasure having you. Thank you

961
00:53:15,880 --> 00:53:19,280
Speaker 3: so much for joining. Where can people find you? Follow

962
00:53:19,360 --> 00:53:21,040
Speaker 3: you all that good stuff?

963
00:53:21,400 --> 00:53:29,000
Speaker 2: Sure, go to Entertainingdiversity dot com. Yeah, slash Media if

964
00:53:29,000 --> 00:53:33,359
Speaker 2: you want to see information about the new podcast Caucus

965
00:53:33,800 --> 00:53:34,560
Speaker 2: after the Fall.

966
00:53:35,320 --> 00:53:39,399
Speaker 1: Yeah. Yeah. And that's like a fictional world about a

967
00:53:39,480 --> 00:53:42,759
Speaker 1: post race war world, correct.

968
00:53:42,480 --> 00:53:45,440
Speaker 2: Yeah, in this world it takes place in the future,

969
00:53:45,960 --> 00:53:50,480
Speaker 2: the United States is now segregated into race categories.

970
00:53:50,280 --> 00:53:54,560
Speaker 1: Like that season of Survivor. Oh yeah, yeah, yeah, yeah

971
00:53:54,680 --> 00:53:55,920
Speaker 1: that my sister in law was on.

972
00:53:57,400 --> 00:53:59,600
Speaker 3: Really oh wow, oh that's crazy.

973
00:54:00,000 --> 00:54:02,880
Speaker 1: I dropped that nugget all the time on Survivor fans. Yeah,

974
00:54:02,960 --> 00:54:06,600
Speaker 1: I love like yo. You know my co host was

975
00:54:06,640 --> 00:54:09,880
Speaker 1: on that on that season. On the race episode. Wait, okay,

976
00:54:09,920 --> 00:54:12,879
Speaker 1: so it's a segregated and what happens to people like us?

977
00:54:12,960 --> 00:54:14,520
Speaker 1: Teyah we are?

978
00:54:14,880 --> 00:54:17,440
Speaker 2: Yeah, listen to the podcast that there is a group

979
00:54:18,080 --> 00:54:21,960
Speaker 2: who are mixed race, and part of the mission of

980
00:54:22,000 --> 00:54:26,360
Speaker 2: the story includes a main character who I play, a

981
00:54:26,440 --> 00:54:31,000
Speaker 2: producer who is mixed race who's traveling around the country

982
00:54:31,800 --> 00:54:36,080
Speaker 2: to find some important people to help to help end

983
00:54:36,239 --> 00:54:37,000
Speaker 2: the crisis.

984
00:54:37,520 --> 00:54:41,160
Speaker 1: Nice okay, nice, that sounds great. Is there a work

985
00:54:41,200 --> 00:54:44,080
Speaker 1: of media that you've been enjoying? Uh?

986
00:54:44,160 --> 00:54:46,160
Speaker 2: You know, I watch a lot of Key and Peel

987
00:54:47,160 --> 00:54:51,040
Speaker 2: m Okay. I love Kempion not only not only because

988
00:54:51,040 --> 00:54:53,960
Speaker 2: they're really funny guys just as really they're very insightful,

989
00:54:54,160 --> 00:54:58,680
Speaker 2: very very smart, very intellectual, but they're also mixed race.

990
00:54:58,880 --> 00:55:03,359
Speaker 2: And I support anything mixed race, not anything mixed race.

991
00:55:03,440 --> 00:55:07,080
Speaker 1: But yeah, yeah, yes, right, yeah, yeah. Some people are

992
00:55:07,120 --> 00:55:10,640
Speaker 1: not doing not not not maintaining the brand like they

993
00:55:10,640 --> 00:55:11,480
Speaker 1: should be on that.

994
00:55:11,880 --> 00:55:17,360
Speaker 2: No, no, and let's see also this is very different.

995
00:55:17,440 --> 00:55:22,160
Speaker 2: But it's called uh, what's it called? We crash games?

996
00:55:22,719 --> 00:55:27,920
Speaker 2: We we crash games. All it's this three D animated

997
00:55:28,520 --> 00:55:33,839
Speaker 2: cars crashing into things. It's just you know, it could

998
00:55:33,880 --> 00:55:36,360
Speaker 2: be anything. It could be a Godzilla or a trailer

999
00:55:37,200 --> 00:55:41,879
Speaker 2: or a thirty ton coil steel that drops on top

1000
00:55:41,920 --> 00:55:43,759
Speaker 2: of the car and then you get to see what

1001
00:55:43,880 --> 00:55:47,640
Speaker 2: the impact is. Like a Toyota, a Toyota four runner

1002
00:55:47,760 --> 00:55:51,960
Speaker 2: will will roll over and get squashed, but a you

1003
00:55:52,080 --> 00:55:55,440
Speaker 2: go will just like you know in smither of Reens,

1004
00:55:55,480 --> 00:55:57,560
Speaker 2: you know, become dust, you know that that kind of thing.

1005
00:55:57,640 --> 00:56:00,960
Speaker 2: So it's it's when I'm bored. It's just rare, but

1006
00:56:01,400 --> 00:56:02,200
Speaker 2: it's entertaining.

1007
00:56:02,760 --> 00:56:06,200
Speaker 3: Nice sounds great miles. Where can people find you? Is

1008
00:56:06,239 --> 00:56:09,200
Speaker 3: there a workimedia you've been enjoying? Uh?

1009
00:56:09,239 --> 00:56:11,879
Speaker 1: Yeah, find me on all the places that have at

1010
00:56:11,920 --> 00:56:16,200
Speaker 1: symbols at Miles of Gray. You can also find Jacket

1011
00:56:16,239 --> 00:56:19,319
Speaker 1: on the basketball podcast Mountain Jackop Boom, Mad Blust's and

1012
00:56:19,480 --> 00:56:22,160
Speaker 1: also find you talking about ninety Day Fiance on four

1013
00:56:22,239 --> 00:56:26,360
Speaker 1: to twenty Day Fiance. Let's see a tweet I like

1014
00:56:26,440 --> 00:56:29,520
Speaker 1: is from at Underscore Zets tweeted the CIA being overthrown

1015
00:56:29,560 --> 00:56:32,400
Speaker 1: by a far right wing government would at least be funny.

1016
00:56:32,880 --> 00:56:35,360
Speaker 1: They must feel like they're in a twilight Zone episode

1017
00:56:35,440 --> 00:56:38,000
Speaker 1: right now. Kind of strange.

1018
00:56:38,840 --> 00:56:42,480
Speaker 3: Wait a second, with the fun amazing. You can find

1019
00:56:42,640 --> 00:56:46,600
Speaker 3: me on Twitter at Jack Underscore O'Brien and on Blue

1020
00:56:46,600 --> 00:56:53,279
Speaker 3: Sky at jackob one dot bsky dot Social uh workimedia

1021
00:56:53,280 --> 00:56:58,520
Speaker 3: I've been enjoying is just a bluesk from a Nate soulmate,

1022
00:56:58,880 --> 00:57:02,080
Speaker 3: m Nate Shyamalan, who tweeted, very funny to me that

1023
00:57:02,160 --> 00:57:05,960
Speaker 3: the Fantastic four trailer doesn't show him stretching. Somebody in

1024
00:57:05,960 --> 00:57:08,360
Speaker 3: a suit said, don't you dare scare them off with

1025
00:57:08,440 --> 00:57:09,160
Speaker 3: that freak shit.

1026
00:57:10,880 --> 00:57:11,600
Speaker 1: It's too much.

1027
00:57:12,200 --> 00:57:15,840
Speaker 3: That's almost definitely a real note that somebody got. You

1028
00:57:15,880 --> 00:57:19,920
Speaker 3: can find us on Twitter at daily Zeitgeist. We're at

1029
00:57:20,000 --> 00:57:23,760
Speaker 3: the Daily zeye Geist. On Instagram, We're at daily Zeitgeist

1030
00:57:23,800 --> 00:57:26,680
Speaker 3: on Blue Sky. We have a Facebook fanpage and a

1031
00:57:26,760 --> 00:57:29,800
Speaker 3: website dailyzeiguys dot com. And you can go to the

1032
00:57:29,840 --> 00:57:32,120
Speaker 3: episode wherever you're listening to this and check out the

1033
00:57:32,160 --> 00:57:35,760
Speaker 3: description where you will find the footnotes, which is where

1034
00:57:35,760 --> 00:57:37,360
Speaker 3: we link off to the information that we talked about

1035
00:57:37,400 --> 00:57:40,320
Speaker 3: in today's episode. We also link off to a song

1036
00:57:40,360 --> 00:57:43,200
Speaker 3: that we think you might enjoy, Miles, is there a

1037
00:57:43,240 --> 00:57:44,800
Speaker 3: song that you think people might enjoy?

1038
00:57:45,000 --> 00:57:49,360
Speaker 1: Yeah, we're gonna go out on a multi hyphenitz, multi

1039
00:57:49,400 --> 00:57:53,440
Speaker 1: platinum selling artist, Winston surf Shirt, who I have not

1040
00:57:53,600 --> 00:57:56,760
Speaker 1: heard of until recently. This track is called ice Cream,

1041
00:57:57,080 --> 00:58:00,840
Speaker 1: and it's just nice, kind of dreamy pop this person has,

1042
00:58:00,880 --> 00:58:03,000
Speaker 1: like you know, it's definitely like hip hop, roots and

1043
00:58:03,080 --> 00:58:05,120
Speaker 1: just like other just good. There's just a lot of

1044
00:58:05,160 --> 00:58:08,000
Speaker 1: sort of genres coming together. But I like the vocals

1045
00:58:08,000 --> 00:58:10,760
Speaker 1: on it. It feels very uplifting. So it's like the

1046
00:58:10,800 --> 00:58:12,320
Speaker 1: kind of music you want to put on to kind

1047
00:58:12,360 --> 00:58:14,320
Speaker 1: of bring your mood up, especially on a Friday. And

1048
00:58:14,400 --> 00:58:16,480
Speaker 1: who doesn't like ice cream except for those who are

1049
00:58:16,560 --> 00:58:18,720
Speaker 1: lactose intolerant, But y'all have options too, and Peak and

1050
00:58:19,240 --> 00:58:20,800
Speaker 1: we all have options. We all love a bit of

1051
00:58:21,040 --> 00:58:24,160
Speaker 1: ice frozen dessert. So check out ice Cream by Winston

1052
00:58:24,400 --> 00:58:25,120
Speaker 1: surf Shirt.

1053
00:58:25,880 --> 00:58:28,560
Speaker 3: Is there any references in it to the Cuban Lengths

1054
00:58:28,600 --> 00:58:29,640
Speaker 3: track ice Cream?

1055
00:58:29,680 --> 00:58:35,880
Speaker 1: No, no, no, no, it's hard, it's hard, a little disappointed.

1056
00:58:36,080 --> 00:58:38,760
Speaker 3: Yeah, The Daily Zeige is the production of iHeartRadio. For

1057
00:58:38,800 --> 00:58:39,640
Speaker 3: more podcasts from my.

1058
00:58:39,560 --> 00:58:41,840
Speaker 5: Heart Radio, visit the iHeart Radio app, Apple podcast, or

1059
00:58:41,840 --> 00:58:43,400
Speaker 5: wherever you listen to your favorite shows.

1060
00:58:43,440 --> 00:58:47,000
Speaker 3: That's gonna do it for us this morning and for

1061
00:58:47,080 --> 00:58:47,600
Speaker 3: this week.

1062
00:58:47,720 --> 00:58:48,840
Speaker 1: We are back on.

1063
00:58:48,920 --> 00:58:51,400
Speaker 3: Monday to tell you what was trending over the weekend

1064
00:58:51,680 --> 00:58:53,480
Speaker 3: and we will talk to you all then.

1065
00:58:53,720 --> 00:58:56,960
Speaker 1: Bye bye,