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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from

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Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza.

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Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist.

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Speaker 2: Miles.

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Speaker 1: We're thrilled to be joined at our third seat by

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Speaker 1: a TDZ Hall of Famer, one of the very faces

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Speaker 1: on Mount Zeitmore, a brilliant stand up comedian you know

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Speaker 1: from I don't Know, MTV, Comedy Central, NBC, True TVE

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Speaker 1: if you watch it too, just so much TV. Also

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Speaker 1: Bob's Burgers for our special Live from the Big Dog

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Speaker 1: is hilarious and you can go watch it right now.

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Speaker 1: Please welcome back to this show. It's Blair Socker, sun

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Speaker 1: Zy Games in the building, in the.

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Speaker 3: Building, Claire, goodness, see you guys. Wow it is I

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Speaker 3: have missed you so much, and you know, just our

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Speaker 3: little pre chat, I was like, God, I'm home again.

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Speaker 2: You know, I'm home, your home. Though. You can smell

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Speaker 2: the lasagna in the oven.

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Speaker 3: Big Dog's Home, Baby, Big Dogs.

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Speaker 1: Is that what the rock's cooking cooking?

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Speaker 2: Is cooking this whole time?

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Speaker 3: I love lasagna. I love Marinera is what's your favorite

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Speaker 3: Italian food? What's my favorite Italian food? If I if

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Speaker 3: I had to go to like just my full truth,

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Speaker 3: it would be pizza. But I feel like that's such

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Speaker 3: like as fine, that's a rube answer.

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Speaker 2: But yeah, I like, Okay, if you if an Italian

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Speaker 2: person asked you whether you would get self conscious about

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Speaker 2: saying that, we would we do some character work. Hey

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Speaker 2: what is it? Damn? I lost it right away and

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Speaker 2: I never had it. Someone say yeah, saying okay, oh,

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Speaker 2: if I can ask you one question there, what's your

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Speaker 2: favorite Italian food?

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Speaker 1: Yeah?

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Speaker 2: That's I tried making that recently.

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Speaker 3: I fucked up so bad it was so incredible.

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Speaker 2: Oh yeah, I fucked up. I look, I'm I It

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Speaker 2: was my first time at It requires a lot more

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Speaker 2: finesse than I had.

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Speaker 3: Miles, you, you have to give yourself a break. You

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Speaker 3: can't just you know, hit a home run.

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Speaker 2: I'm one it, I know, I know, I know. It's

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Speaker 2: it's like each year old just got into the Hall

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Speaker 2: of Fame. It's about those little hits.

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Speaker 4: Totally.

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Speaker 3: I totally know that person you're talking about right now.

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Speaker 2: I know, I know you, I know you do.

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Speaker 1: Miles gets up to the majors in its first at

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Speaker 1: that doesn't hit a home run, and it is like

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Speaker 1: this sucks, It sucks.

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Speaker 2: Quit you got on base. Though you got on base.

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Speaker 2: I don't care when the home run. I'm done looks

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Speaker 2: so sid you don't even know me. That's so stupid.

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Speaker 1: I feel like my Italian order complete is dependent on

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Speaker 1: like where, Like if I'm at an Italian restaurant, I'm

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Speaker 1: going to get a pasta.

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Speaker 2: Dish because you're gone.

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Speaker 1: I'm going to fucking like because the bowls never end.

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Speaker 1: But if I'm going to, like I said, it depends

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Speaker 1: on like how high level. Yeah, yeah, you know what

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Speaker 1: I mean, Because like pizza is just the staple. It's

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Speaker 1: my favorite food. I'm gonna get it anywhere, but at

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Speaker 1: an Italian restaurant. Even if the Italian restaurant offers pizza,

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Speaker 1: I feel like it's not it's not always the best

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Speaker 1: thing they do, you know.

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Speaker 2: I had I went to a restaurant that had like

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Speaker 2: a just a tomato sauce pizza, no cheese on it,

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Speaker 2: and I was with an Italian person and they ordered

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Speaker 2: it and I was like, I was like laughing, like

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Speaker 2: this ain't no pizza, and they're like this is what

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Speaker 2: we eat in Italy actually, like you'll just have like

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Speaker 2: cheese less kind of slices.

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Speaker 3: With this, And I was like, oh, yeah, that's not

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Speaker 3: my thing though. I'm a cheese I'm a freaking cheese hat.

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Speaker 3: I said that cheese from mile away.

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Speaker 4: But you know what, I also love.

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Speaker 3: Snap that ship out like a little freaking canine. I

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Speaker 3: like a I love a soft ravioli that melts in

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Speaker 3: your mouth like my dad makes it from scratch. It's crazy,

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Speaker 3: Like if you get a well done ravioli, yeah, yeah,

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Speaker 3: it will take you to the heaven.

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Speaker 2: Oh like you mean, like not the pasta is not overcooked,

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Speaker 2: because it's like it's like writing that perfect If you

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Speaker 2: get like.

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Speaker 3: A perfectly executed ravioli, like it is Nirvana.

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Speaker 2: Like a fresh rao high.

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Speaker 3: Quality, like the thinnest, softest pasta of a ravioli, I

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Speaker 3: mean that is like that's our It's life changing, it

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Speaker 3: really is.

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Speaker 1: It's not something in a bag loose with a bunch

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Speaker 1: of other raviolis and most of them are split open

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Speaker 1: like the way that I always grew up with my.

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Speaker 2: Yeah, you just.

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Speaker 1: Have to like jam a wedge in there to like

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Speaker 1: break off a chunk of ral.

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Speaker 3: I don't think I ever felt anything for ravioli until,

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Speaker 3: like my dad started making them from scratch.

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Speaker 2: That's beautiful. I'm gonna have to come over, Yeah you should.

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

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Speaker 1: about who you are?

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Speaker 5: Richard Simmons state sale auction something I googled mid time

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Speaker 5: last week. The late great Richard Simmons. He passed away

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Speaker 5: at some point last year, and in the last two

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Speaker 5: weeks his personal belongings have gone up at auctions. The

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Speaker 5: first auction was at Bottoms, which is a very hoity toy,

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Speaker 5: very fancy institution all the good rich people. When you die,

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Speaker 5: you want your shift to go to Bonhoms. That was

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Speaker 5: the first one that I looked at. I did purchase

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Speaker 5: two items from said auction, and then a secondary one.

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Speaker 5: We'll get there, yeah, And then a secondary auction popped

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Speaker 5: up after the first Bottoms one closed. It was absolutely

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Speaker 5: like the second waveyard sale version that was just like, oh,

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Speaker 5: here's just a bunch of random shit we found in boxes, like.

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Speaker 2: All the stuff that was ens yeah, like.

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Speaker 5: Not even that, just like, Hey, did you want some

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Speaker 5: dealer meal cards that are kind of like water logged?

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Speaker 5: We got those? Did you want a case full of

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Speaker 5: VHS tapes that never sold? Got them, just like weird

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Speaker 5: chochkeys are like, Hey this glass clown, did you want this?

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Speaker 2: I got that for you.

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Speaker 3: TI.

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Speaker 2: He was probably trying to get rid of at the end,

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Speaker 2: like literally his trash.

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Speaker 5: Yeah, just like, hey, here's shit I can't throw away

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Speaker 5: because I've got too much of it. People will know, Hey,

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Speaker 5: Richard Simmons threw away all his tapes, like you know

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Speaker 5: what I mean?

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Speaker 2: Like, how do.

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Speaker 4: I know this shit?

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Speaker 5: But the first auction, the Bottoms auction, was full of treasures,

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Speaker 5: lots of treasures. We're talking all of his tank tops,

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Speaker 5: like all of his outfits with the matching glasses and

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Speaker 5: his shorts. We're talking about the slim in sign that

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Speaker 5: was on the Slimmons building itself, which I actually went

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Speaker 5: to and took a class with Richard Simmons a year

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Speaker 5: to the day that I won my auction, in fact,

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Speaker 5: or for fourteen years to the day, I should say,

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Speaker 5: from when I won my auction. He used to have

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Speaker 5: a studio in Beverly Hills that was incredible to go to.

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Speaker 5: It was a fucking experience, Like I don't know if

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Speaker 5: I would call it a workout more than just like

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Speaker 5: you're just standing there, just like pretending to do the

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Speaker 5: moves as you watch Richard just bounce around the room

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Speaker 5: and like sexually assault people. It was incredible. Love could

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Speaker 5: not recommend it more. I'm so glad I did it.

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Speaker 5: I went twice. It was fantastic. But I he actually

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Speaker 5: had a lot of incredible art. So I purchased art

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Speaker 5: from the surrealist sculptor Sergio Bustamante, who's still a living artist.

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Speaker 5: He's a Mexican born artist. He's incredible. He does a

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Speaker 5: lot of fantasy sort of meets Mexican folklore work. All

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Speaker 5: of this shit's super weird. It'll be like, you know,

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Speaker 5: like a moon with a weird human face, or like.

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Speaker 2: It's just bliesque sort of yeah sculpture, Okay.

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Speaker 5: Yeah, he's a surrealist for a real So I bought

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Speaker 5: and the first thing that I got was these two

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Speaker 5: sons that are basically like these like beautiful sons and

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Speaker 5: they're making different expressions and they have weird hands. And

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Speaker 5: then the second thing I bought, and I did not

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Speaker 5: realize how big it was until after I won the auction.

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Speaker 5: And now I am really nervous because it's a very

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Speaker 5: delicate sculpture. But it is this awesome deer that's painted

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Speaker 5: like blue and pink, and it looks very whimsical and

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Speaker 5: like fantasy. And then it has the creepiest human face ever.

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Speaker 5: And I live out in the woods. We have lots

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Speaker 5: of deers. There's antlers all over my house. We've talked

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Speaker 5: about the amplification of my house. Uh you know, the

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Speaker 5: property is called deer Ridge, so like it fit. I

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Speaker 5: was like, oh, I need this deer in my life.

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Speaker 5: But this year I have found out since that it

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Speaker 5: is three feet high and two feet wide. It like

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Speaker 5: it's a it's a it's a whole thing, a whole

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Speaker 5: ass sculpture. So now I have to figure out. I'm

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Speaker 5: waiting for Bottoms to tell me how much it's gonna

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Speaker 5: cost to ship this delicate surrealist sculpture from Los Angeles

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Speaker 5: to the backwoods of Tennessee.

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Speaker 2: Yeah, if not, great road trip movie for you.

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Speaker 1: And looking literally sculpture right now, it is very cool.

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Speaker 2: Are is it going to be an outdoor? No, it's important.

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Speaker 2: I'm going to do an indoor.

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Speaker 5: It's super delicate. It may or may not be completely

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Speaker 5: made of paper mache. That's what I've been trying to

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Speaker 5: research and found out a lot of his works were

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Speaker 5: in paper machet. So now I'm just I should have

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Speaker 5: read it more. I should have read the description more carefully.

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Speaker 5: But sure, guys, gals, if you're ever in an auction,

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Speaker 5: don't get caught up. Read the detail. Just read the

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Speaker 5: little things like dimensions.

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Speaker 2: I should have.

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Speaker 5: I just assumed it was like a figurine, and absolutely

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Speaker 5: it is not. It is a giant sculpture. But now

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Speaker 5: I'm kind of more excited about it because I like,

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Speaker 5: this is gonna be cool, like this is and it

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Speaker 5: was in his personal gym, and like all the things

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Speaker 5: he really loved the most were in his personal gym.

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Speaker 5: So it's just loaded up with Richard Simmons good vibe.

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Speaker 5: So I can't wait. But yeah, what does that say

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Speaker 5: about me? I like Cirella Start, I like Mexican sculptors.

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Speaker 5: I love eclectic weirdos from the nineteen seventies. I love

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Speaker 5: gay men and I want to be writing on them daily.

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Speaker 5: So I can't wait for the sculpture to get here,

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Speaker 5: and the when people go what the fuck is that,

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Speaker 5: I'm like, well, oh, Richard Simmons.

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Speaker 2: Yeah, I love your heir.

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Speaker 1: What is that? It's also kind of very serene, creepy.

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Speaker 1: It looks like something from the beginning of one of

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Speaker 1: the White Lotus, like you know, the animal with human face,

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Speaker 1: human with animal energy things that were happening.

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Speaker 2: There's so many Serge Piste.

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Speaker 5: Yeah, and I'm a big fan of Gustamante as well,

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Speaker 5: and his stuff is quite expensive and hard to come by,

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Speaker 5: So I was just excited to like get stuff that

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Speaker 5: was by an artist that I liked, owned by an

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Speaker 5: eclectic figure that I also like.

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Speaker 1: Yeah, yeah, wonderful, by the way, just to say it's great.

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Speaker 5: I can't wait to see how my dogs are going

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Speaker 5: to react to this three foot sculpture of a beer

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Speaker 5: with a face on it, Like, I'm pretty sure that

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Speaker 5: deer is the same size as my candy corso, so

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Speaker 5: they're going to be like, what the fuck?

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Speaker 2: Yeah he was? This guy was this guy? Yeah?

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Speaker 5: But yeah, so yeah, that was my search history.

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Speaker 1: What is something you think is underrate it?

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Speaker 4: I'm doing this thing recently where I am staying a

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Speaker 4: little uninformed and I and I know that it's controversial

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Speaker 4: because I am on a news podcast where I'm about

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Speaker 4: to be informed about what the fuck is going on

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Speaker 4: in the world. This is I feel like something that

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Speaker 4: people talk about on this podcast a lot, actually, but

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Speaker 4: you know, there's a lot of shame around around like

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Speaker 4: not keeping up with the news, I think, and it's

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Speaker 4: not necessarily I think I projected onto myself, you know,

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Speaker 4: like I'm ashamed, like, oh, I should know what's happening

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Speaker 4: in the world. But I think I've gotten to a

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Speaker 4: point where, like I actually understand what's happening entirely, and

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Speaker 4: I don't need any further updates unless it's like something

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Speaker 4: and if it is really bad, it'll get to me,

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Speaker 4: you know what I mean.

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Speaker 2: You're sort of doing the thing where like it got

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Speaker 2: to a point where like we're cooked, right, Okay, we're cooked.

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Speaker 2: I mean, if we're cooked, what the fuck do I need?

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Speaker 2: What else can I learn? So we're cooked. I've done

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Speaker 2: that with.

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Speaker 1: My favorite basketball team, Philadelphia seventy fixtures when they're getting

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Speaker 1: deep at thirty and like, so I turned the game off,

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Speaker 1: and I know someone's gonna text me if like anything happens,

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Speaker 1: yeah back the other direction, or if one of the players,

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Speaker 1: like legs fall off, Like I'm gonna get twenty texts

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Speaker 1: all at once. So like I don't actually need to,

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Speaker 1: And in fact, I did that for the whole season

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Speaker 1: last year, where I was just like, I don't have

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Speaker 1: to watch any.

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Speaker 2: Of this shit. This season of America is bad. Yes, yeah,

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Speaker 2: let me know if it changes better. I don't know,

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Speaker 2: I know it's gonna get worse, so but if it

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Speaker 2: gets really fucked up, let me know. No, I mean,

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Speaker 2: I totally get that. It's that's where I hope maybe

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Speaker 2: for people who listen to the show, this is like

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Speaker 2: a slight service we can offer it to people. Or

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Speaker 2: it's like listen to we'll say some shit that's going on.

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Speaker 2: We'll laugh a little bit, but also we get that

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Speaker 2: we'll let you know too when it's really bad. We

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Speaker 2: try to, but I get it's it's it is exhausting

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Speaker 2: and having to look at like the microscopic, granular degradation

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Speaker 2: of society every day is Yeah, it might not be healthy.

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Speaker 4: Situation, full shareholder value every day, you know, like you know,

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Speaker 4: and I'm not you know obviously that I work here,

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Speaker 4: but as I just mean in general, we're all just

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Speaker 4: kind of like we're all just working and everything.

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Speaker 1: Is what we When we enter the dock every morning,

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Speaker 1: we say a little prayer about shareholder value for heart,

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Speaker 1: saying guide our hands so that we can make line

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Speaker 1: go up right?

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Speaker 2: Who are in Wall Street? That would be the name.

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Speaker 4: But I think to an extent, like I think what's

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Speaker 4: more important than anything is just like focus on like

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Speaker 4: what's going on around you in your neck of the woods,

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Speaker 4: you know, in your neighborhood, what's happening in your community

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Speaker 4: and stuff like that.

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Speaker 2: Yeah, I mean that's a powerful antidote. I always say

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Speaker 2: that when people get really into the doom scroll, it's like, look,

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Speaker 2: I know you're seeing shit from around the world that

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Speaker 2: is happening right now, but go outside into your community

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Speaker 2: and think about what's happening there, because it's we have

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Speaker 2: varying degrees of fucked up. But you will feel much

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Speaker 2: more empowered if you can do these things that are

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Speaker 2: in your immediate physical space too. Not to say that

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Speaker 2: you ignore everything else, but that's you'll feel better. You know.

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Speaker 4: If anything, did Janie tell y'all how much money she

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Speaker 4: raised for Palestine relief?

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Speaker 2: No, I don't think she.

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Speaker 4: Yeah, I don't remember when she was on here last

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Speaker 4: but fourth of July I had a party. She raised

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Speaker 4: like four thousand something dollars for palistine.

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Speaker 2: Really, that's awesome.

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Speaker 4: We love you, Janey. So oh yeah yeah, but that

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Speaker 4: was she had hot dogs and beer and whatnot, the

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Speaker 4: woke beer of course.

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Speaker 2: Yes, of course.

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Speaker 1: What is something that you think is overrated?

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Speaker 6: I mean, I'm obviously like on a food kick here,

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Speaker 6: but you know, I personally think getting a macha latte

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Speaker 6: at a coffee shop or a macha shop is a

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Speaker 6: little overrated. Not to say I won't do it, because

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Speaker 6: I will do it, but listen, the macha you can

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Speaker 6: make at home if you get yourself a good macha,

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Speaker 6: like a good quality macha powder. I just I prefer

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Speaker 6: the macha that I make at home. It could be

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Speaker 6: a hot latte, a cold latte, whatever. Like you don't

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Speaker 6: have the cute little like instagrammable experience as much, but

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Speaker 6: for me, the quality that I make is more consistent

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Speaker 6: and better. And I think that like this whole like

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Speaker 6: social media aesthetic of like having your cute little macha

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Speaker 6: is beautiful.

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Speaker 7: It looks beautiful.

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Speaker 6: But I just want to suggest to anyone out here

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Speaker 6: who's like getting a macha, a six seven eight dollars

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Speaker 6: macha every day, like, just try making it yourself, because

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Speaker 6: I bet you'll be really impressed.

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Speaker 1: Nothing looks better than a macha. Macha's the best looking drink.

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Speaker 1: I feel like it looks good, Like I feel like

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Speaker 1: that might be why some people are ordering them out,

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Speaker 1: because they're performatively drinking something that is the coolest color.

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Speaker 7: I mean, it's so cool. I had. I have to

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Speaker 7: say I had my first macha.

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Speaker 6: I was fortunate to travel to Japan in two thousand

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Speaker 6: and nine and so like, I, you know, I hadn't

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Speaker 6: had one before, and I before every tea ceremony, you know,

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Speaker 6: and like had a macha, was like this is cool.

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Speaker 6: And then they had this macha ice cream and all

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Speaker 6: the stuff that they have here in the States today.

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Speaker 6: I got to experience in Japan, and I remember being like, man.

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Speaker 7: Will I ever have this again? And I can only

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Speaker 7: hope and then boom, here we are.

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Speaker 2: Yeah. A few listeners on Instagram DMV like posts from

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Speaker 2: like this company that like makes macha and it's like

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Speaker 2: these two white women who were like when we went

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Speaker 2: to Japan, we realized it's like, oh, I'm oh, yeah, y'all,

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Speaker 2: y'all discovered some now okay, okay, we discovered maya in Japan.

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Speaker 2: My tip as a Japanese person by by from a

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Speaker 2: Japanese grower provider, and you know, just you can cut

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Speaker 2: out the middleman who is doing the I just discovered

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Speaker 2: Machia company on Instagram. There go, that quality is going

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Speaker 2: to be straight up ass because it's going to be

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Speaker 2: sold to people who are just again like like the

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Speaker 2: look of like I'm drinking green drink. But yeah, it's right, like.

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Speaker 6: I mean, you can even go like I did this,

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Speaker 6: like I went on Amazon and looked for like the

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Speaker 6: reviews of like the highest quality macha and then went

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Speaker 6: to that brand's.

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Speaker 2: Website, right yeah, order like it's not that hard. No, no,

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Speaker 2: it's not. And typically this is the thing I say, like,

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Speaker 2: well sometimes cheaper on Amazon. I bet you you go

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Speaker 2: to the website of the thing you want to buy,

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Speaker 2: they're going to be like, hey you want fifty percent

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Speaker 2: off right now, like the second you click on the website,

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Speaker 2: So you know, leave.

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Speaker 1: I got some really cheap macha at a Korean grocery

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Speaker 1: store near my house.

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Speaker 2: It was with Sabby.

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Speaker 1: You guys want to be careful. I'm telling you it's

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Speaker 1: nasty out there.

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Speaker 2: It was in a tube. I should have known.

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Speaker 1: How are you because so for my homemade What's Up macha.

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Speaker 1: I needed to find the right mixing implement because I

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Speaker 1: got like the macha set with the little like proper

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Speaker 1: whisk wooden whisky, and I was not skilled enough with

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Speaker 1: the whisk to like it just wasn't quite as good

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Speaker 1: as it is like elsewhere. But then I got the

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Speaker 1: handheld mixer, the little like thing we can press the

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Speaker 1: thing on and it like spins really fast. It's like

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Speaker 1: I think it's called a milk frothing. Totally made it,

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Speaker 1: like so it was indistinguishable from the macha that you

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Speaker 1: get at the at the store.

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Speaker 6: Yeah, yeah, I have to say I have all of

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Speaker 6: those things, and admittedly, like what I do most of

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Speaker 6: the time when I'm in a hurry, which is not

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Speaker 6: this is not authentic, Okay, so I am not doing

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Speaker 6: an authentic method? Is I throw it in the blender,

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Speaker 6: so I do, like I heat up my milk because

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Speaker 6: I do like the milk to also be hot. But

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Speaker 6: it's like I know, Miles, it's in the blunder and

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Speaker 6: I blend.

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Speaker 2: It, Miles is going full.

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Speaker 6: And I add ginger, so like that's like, yeah, this

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Speaker 6: is not like like I did not experience this in Japan.

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Speaker 6: This is my African American take on mascha. I love it,

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Speaker 6: but like I add a little bit of either like

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Speaker 6: powdered ginger, like again, Trader Joe's has like a really

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Speaker 6: good powder ginger or sometimes like a little frozen ginger cube,

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Speaker 6: you know, And I just I don't know. I like

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Speaker 6: it in all of my tea, not just my macha.

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Speaker 6: But I'm a big tea drinker, and I just like

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Speaker 6: to add ginger and to everything. So I like that's

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Speaker 6: why the blender comes in handy, right, because it like

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Speaker 6: blends it all up. But that like you know, everyone

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Speaker 6: I would start with a whisk.

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Speaker 2: Well, I mean, I grab my face in horror in jest,

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Speaker 2: but I'm also look, I'm black and ease, I'm also American.

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Speaker 2: I also look for ways to do shortcuts because the process,

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Speaker 2: right with the whisk, I understand like as a process

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Speaker 2: as a Japanese person, it's like this is part of

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Speaker 2: the tradition. Yeah, you're aerating the macha like with it.

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Speaker 2: But also part of me does think of like I mean,

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Speaker 2: what if I'm just trying to get this shit quick?

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Speaker 6: Yeah, but I would never like if I had like

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Speaker 6: a cooking show or something I would never be, like,

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Speaker 6: do you.

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Speaker 7: Mind making mancha throw it in the blood like that?

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Speaker 7: Like that's not that.

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Speaker 2: Dude. I went to a coffee shop whereas people had

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Speaker 2: the bamboo whisk on a fucking power drill. Yeah. Yeah,

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Speaker 2: like the essentially what I'm doing. Yeah, but I was like, yo,

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Speaker 2: this is a like it felt like the most American thing.

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Speaker 2: It's like, I'm gonna put this bamboo whisk on a

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Speaker 2: power drill. Am I going to blacken Decker this ship up?

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Speaker 6: Like should we even be calling it macha or should

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Speaker 6: we be calling it like.

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Speaker 2: Green drink green tea? Yeah, it's green tea at.

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Speaker 7: That point, green tea?

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Speaker 2: Yeah, ecdo cooler? Heih see ecdo cooler.

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Speaker 1: I do a little shot of hot water and then

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Speaker 1: spoon the powder on top of the shot of hot

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Speaker 1: water and then just like mix it in my mouth

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Speaker 1: as I'm running out.

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Speaker 2: Is that the traditional? Yeah? And then I put the

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Speaker 2: frother in electric tooth fresh wis just put on my

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Speaker 2: electric truth rush just it does it all to one? Yeah? Yeah.

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Speaker 6: I will say my husband has gotten into recently instant coffee,

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Speaker 6: which like he's like a coffee guy right, like he

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Speaker 6: like I'm a macha drinker. It's my preference. But like

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Speaker 6: he is super into coffee. And he went to a

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Speaker 6: friend's house recently for a brunch and he was like,

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Speaker 6: their coffee is so good. Like I'm going to ask

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Speaker 6: them what it is, and it's it's from this like

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00:21:19,320 --> 00:21:22,359
Speaker 6: specialized grocery store, but it's their instinct coffee at this

437
00:21:22,400 --> 00:21:23,520
Speaker 6: specialized grocery store.

438
00:21:23,720 --> 00:21:26,480
Speaker 7: And so he's like, screw it, like I'm going to

439
00:21:26,560 --> 00:21:27,080
Speaker 7: do that now.

440
00:21:27,280 --> 00:21:30,399
Speaker 6: And so he also uses the blender, right, so he's like,

441
00:21:30,680 --> 00:21:33,080
Speaker 6: you know, hot water, the instant coffee. He might add

442
00:21:33,119 --> 00:21:35,359
Speaker 6: a little something good, you know. And so we're both

443
00:21:35,400 --> 00:21:40,119
Speaker 6: like blending our non usually blended drinks lately.

444
00:21:40,160 --> 00:21:42,199
Speaker 7: So it's just this whole thing that's going on in

445
00:21:42,240 --> 00:21:42,600
Speaker 7: my house.

446
00:21:43,040 --> 00:21:44,320
Speaker 2: Same same blender.

447
00:21:44,680 --> 00:21:46,120
Speaker 7: I feel like, same blender.

448
00:21:46,400 --> 00:21:49,640
Speaker 2: Wow, Yeah, I just got to power wash that thing out.

449
00:21:51,119 --> 00:21:52,720
Speaker 2: Are you worried about the flavors?

450
00:21:53,200 --> 00:21:56,760
Speaker 1: Worried about those flavors contaminating one of the coffee really sticks?

451
00:21:56,840 --> 00:21:58,320
Speaker 7: Yeah, the maja has to go first.

452
00:21:58,880 --> 00:22:02,360
Speaker 2: Definitely order that that I'll do in my mind, Yeah,

453
00:22:02,480 --> 00:22:04,400
Speaker 2: blend your coffee afterwards, you're freak.

454
00:22:04,960 --> 00:22:07,600
Speaker 1: Yeah, all right, let's uh, let's take a quick break.

455
00:22:07,600 --> 00:22:08,240
Speaker 2: We'll come back.

456
00:22:08,480 --> 00:22:10,399
Speaker 1: We'll check in on the world of science, which I

457
00:22:10,440 --> 00:22:12,760
Speaker 1: haven't checked in on since the last time you were here,

458
00:22:12,800 --> 00:22:15,480
Speaker 1: Doctor Grant. I have to assume things are going well.

459
00:22:15,800 --> 00:22:20,520
Speaker 1: Just a steady march upward, up into the right. We'll

460
00:22:20,560 --> 00:22:22,800
Speaker 1: take a quick break and we'll be right back.

461
00:22:33,520 --> 00:22:35,680
Speaker 2: And we're back. We're back.

462
00:22:36,119 --> 00:22:40,080
Speaker 1: And this is this is a study in the loosest

463
00:22:40,400 --> 00:22:41,320
Speaker 1: sense of the words.

464
00:22:41,920 --> 00:22:44,680
Speaker 2: Yeah, I feel like yeah, I mean, look, we love

465
00:22:44,720 --> 00:22:48,880
Speaker 2: a study, study, science, study. We love a study finds

466
00:22:48,960 --> 00:22:52,560
Speaker 2: out something headline. And this was one that had basically

467
00:22:52,640 --> 00:22:54,840
Speaker 2: been covered like over the weekend. It got a lot

468
00:22:54,840 --> 00:22:57,680
Speaker 2: of coverage of saying that a study of dating apps

469
00:22:57,720 --> 00:23:00,320
Speaker 2: shows that men are always trying to date out of

470
00:23:00,359 --> 00:23:05,160
Speaker 2: their league and women tend to date within their own desirability,

471
00:23:05,200 --> 00:23:06,919
Speaker 2: whatever that means. And I was like, okay, whatever, the

472
00:23:07,000 --> 00:23:09,920
Speaker 2: what the fuck is this the study? It it comes

473
00:23:09,920 --> 00:23:11,919
Speaker 2: from a study that was an analysis of like a

474
00:23:12,000 --> 00:23:14,560
Speaker 2: check dating app and like like data from like ten

475
00:23:14,600 --> 00:23:20,760
Speaker 2: thousand users heterosexual users. And again they're czes. Sorry, yes,

476
00:23:20,760 --> 00:23:24,440
Speaker 2: we've got a lot of locks check, like just checking

477
00:23:24,520 --> 00:23:28,160
Speaker 2: out the country checking. And again this they said, quote

478
00:23:28,160 --> 00:23:30,480
Speaker 2: research is examining dating app behavior found that men engage

479
00:23:30,520 --> 00:23:33,320
Speaker 2: in what scientists call quote aspirational pursuit. This means they

480
00:23:33,680 --> 00:23:36,640
Speaker 2: consistently but been targeting women who quote are on average,

481
00:23:36,640 --> 00:23:40,719
Speaker 2: considerably more desirable than themselves. Meanwhile, women flooded with options

482
00:23:40,720 --> 00:23:43,760
Speaker 2: tend to quote swipe down slightly toward less popular men.

483
00:23:44,040 --> 00:23:47,080
Speaker 2: Most aspirational swiping fails to convert into matches. Blah blah

484
00:23:47,119 --> 00:23:50,119
Speaker 2: blah blah. I'm like study aside. I was like, anytime

485
00:23:50,320 --> 00:23:53,919
Speaker 2: there's something talking about the dynamics of like men and

486
00:23:53,960 --> 00:23:57,360
Speaker 2: women dating, I'm like, there's always gonna be some wacky

487
00:23:57,440 --> 00:23:59,800
Speaker 2: bullshit comments section. And when I saw that The New

488
00:23:59,880 --> 00:24:02,520
Speaker 2: York Post had posted this study as a headline, I

489
00:24:02,600 --> 00:24:05,160
Speaker 2: was like, what's the fucking comment section over here? Because

490
00:24:05,200 --> 00:24:08,360
Speaker 2: I know it's going to be an absolute fucking crisis.

491
00:24:08,440 --> 00:24:13,000
Speaker 2: And this thing has everything. It's got pickup artists, bullshit,

492
00:24:13,400 --> 00:24:17,320
Speaker 2: straight up misogyny, anti semitism, all because the study pointed

493
00:24:17,359 --> 00:24:19,760
Speaker 2: out that maybe men are a little out of touch

494
00:24:20,359 --> 00:24:23,000
Speaker 2: in the era of online dating. No.

495
00:24:23,480 --> 00:24:26,159
Speaker 1: The cover of this study, by the way, as a

496
00:24:26,160 --> 00:24:28,320
Speaker 1: picture of the guy from Revenge of the Nerds with

497
00:24:28,359 --> 00:24:31,800
Speaker 1: his glasses fogging up, and then like there's a little

498
00:24:31,800 --> 00:24:34,800
Speaker 1: windshield wipers that come onto his glasses to clear them

499
00:24:34,800 --> 00:24:35,640
Speaker 1: out because he's a nerd.

500
00:24:35,880 --> 00:24:40,000
Speaker 2: And then stuff. First of all, I'm not going to

501
00:24:40,080 --> 00:24:43,440
Speaker 2: speak on the veracity of this analysis because I've never

502
00:24:43,560 --> 00:24:45,560
Speaker 2: used a dating app in my life. I was out

503
00:24:45,560 --> 00:24:49,000
Speaker 2: of the game before the real height of dating app use.

504
00:24:49,480 --> 00:24:53,480
Speaker 2: But I'm also like, this study also was taken data.

505
00:24:53,520 --> 00:24:56,640
Speaker 2: It comes from July of twenty seventeen. I'm like, that's

506
00:24:57,280 --> 00:25:00,439
Speaker 2: that's a different world. We're seven years married.

507
00:25:01,280 --> 00:25:05,240
Speaker 3: Unlike you guys who succeeded.

508
00:25:03,920 --> 00:25:05,919
Speaker 2: I was trying to lob this one up for you, Blair.

509
00:25:06,240 --> 00:25:09,119
Speaker 3: I will have to say that we don't have to

510
00:25:09,160 --> 00:25:12,360
Speaker 3: worry about that study being back in twenty seventeen. I'm

511
00:25:12,400 --> 00:25:16,919
Speaker 3: here to reassure you that that data is absolutely sound,

512
00:25:18,080 --> 00:25:22,800
Speaker 3: hard hard data that cannot be refuted in twenty twenty five.

513
00:25:23,960 --> 00:25:28,520
Speaker 3: But conversely, I do have to say I'm only on Hinge.

514
00:25:28,600 --> 00:25:31,119
Speaker 3: I was on Rayah like on and off, but like

515
00:25:31,560 --> 00:25:34,199
Speaker 3: no one ever I get matches, But then no one

516
00:25:34,200 --> 00:25:36,960
Speaker 3: would ever ask me on a date. And you know,

517
00:25:37,200 --> 00:25:40,439
Speaker 3: I already am in a masculine dominated field. I'm not

518
00:25:40,520 --> 00:25:43,439
Speaker 3: going to be messaging first at this point. What's the

519
00:25:43,480 --> 00:25:47,520
Speaker 3: point of being a woman. But with Hinge. I am

520
00:25:47,640 --> 00:25:49,439
Speaker 3: still on Hinge, even though I forget to go on

521
00:25:49,480 --> 00:25:52,760
Speaker 3: it for three months at a time. But I will

522
00:25:52,840 --> 00:25:56,320
Speaker 3: say that all the Hinge dates I've ever been on

523
00:25:56,960 --> 00:26:00,880
Speaker 3: have all been really nice guys like I. Every guy

524
00:26:00,920 --> 00:26:04,399
Speaker 3: has been so kind, And I think my profile is

525
00:26:04,840 --> 00:26:07,879
Speaker 3: extremely sincere, like I have nothing joking on there, Like

526
00:26:08,040 --> 00:26:11,359
Speaker 3: if any comedy people see my profile, I'd honestly be humiliated.

527
00:26:11,400 --> 00:26:13,280
Speaker 3: It's like looking for the love of my life, a

528
00:26:13,359 --> 00:26:16,280
Speaker 3: man who will be my so my husband and be

529
00:26:16,359 --> 00:26:19,439
Speaker 3: the father of dreams to my children and so like

530
00:26:19,600 --> 00:26:22,160
Speaker 3: I it's just since yeah, sincereous.

531
00:26:22,160 --> 00:26:22,400
Speaker 2: Fuck.

532
00:26:22,840 --> 00:26:26,640
Speaker 3: But I think because of that, I have only gone

533
00:26:26,720 --> 00:26:29,479
Speaker 3: on dates with like the nicest people, like I've surely

534
00:26:29,560 --> 00:26:31,560
Speaker 3: never had a horror story.

535
00:26:32,359 --> 00:26:36,520
Speaker 2: Mmmmmmm, well the A lot of the comments here are

536
00:26:36,560 --> 00:26:41,399
Speaker 2: from like clearly lonely people or angry boomers who are

537
00:26:41,400 --> 00:26:46,879
Speaker 2: like the internet comments, what are they like, I'm just like,

538
00:26:47,000 --> 00:26:50,080
Speaker 2: it's so wild again, the thing was like very at

539
00:26:50,119 --> 00:26:51,760
Speaker 2: the end, they're like the conclusion is like, you know,

540
00:26:51,800 --> 00:26:53,479
Speaker 2: people tend to be happier if they're a little more

541
00:26:53,480 --> 00:26:57,040
Speaker 2: realistic about like their desirability or where like, rather than

542
00:26:57,080 --> 00:27:00,199
Speaker 2: going for maybe their like sort of sexual desire that

543
00:27:00,240 --> 00:27:02,320
Speaker 2: are just they're acting out and who they're picking as

544
00:27:02,320 --> 00:27:04,919
Speaker 2: a mate. But some of these comments, this is so

545
00:27:05,240 --> 00:27:07,840
Speaker 2: like all of them. It's some version of like the

546
00:27:07,920 --> 00:27:10,840
Speaker 2: New York Post is trying to fucking destroy white men.

547
00:27:11,119 --> 00:27:15,760
Speaker 2: It's sort of like the erl Yeah quote, you'll never

548
00:27:15,800 --> 00:27:19,480
Speaker 2: hear anyone telling women to lower their standards. This is again,

549
00:27:19,800 --> 00:27:21,760
Speaker 2: like the first thing that they're talking about.

550
00:27:22,200 --> 00:27:24,520
Speaker 3: Yeah, famously progressive New York Post.

551
00:27:24,880 --> 00:27:31,080
Speaker 2: Yes, always so so kind. Yes, they said they're always

552
00:27:31,160 --> 00:27:33,240
Speaker 2: encouraged to aim for the hot I'm gonna do it

553
00:27:33,280 --> 00:27:36,679
Speaker 2: in a New York Post accent. I'm sorry. They're always

554
00:27:36,760 --> 00:27:38,960
Speaker 2: encouraged to aim for the highest fruit on the tree

555
00:27:38,960 --> 00:27:42,560
Speaker 2: of life, no matter how unrealistic. Meanwhile, men are constantly

556
00:27:42,600 --> 00:27:45,560
Speaker 2: told to quote settle, to lower their expectations and accept

557
00:27:45,600 --> 00:27:49,520
Speaker 2: whatever comes their way. Society treats male standards like a threat,

558
00:27:49,600 --> 00:27:52,080
Speaker 2: and if you dare to have them, you're labeled toxic

559
00:27:52,280 --> 00:27:53,040
Speaker 2: or entitled.

560
00:27:53,240 --> 00:27:55,480
Speaker 3: Okay, yeah, who wrote that article? A school shooter?

561
00:27:55,720 --> 00:27:59,120
Speaker 2: Uh, just just a man by the name of j.

562
00:28:00,600 --> 00:28:04,080
Speaker 3: Yeah. No, I think Look, I don't like to uh

563
00:28:04,520 --> 00:28:08,679
Speaker 3: think too deeply about this stuff because I think that

564
00:28:09,240 --> 00:28:12,840
Speaker 3: ultimately we're trying to open our hearts and find the soulmate.

565
00:28:12,960 --> 00:28:16,400
Speaker 3: You know, it's not about looks and all this stuff,

566
00:28:16,920 --> 00:28:19,760
Speaker 3: and so that is a downside of the apps. But

567
00:28:21,000 --> 00:28:27,080
Speaker 3: on the other hand, Devil's advocates, would any of these

568
00:28:27,640 --> 00:28:30,960
Speaker 3: dudes be actually approaching a twelve in the bar?

569
00:28:31,520 --> 00:28:32,640
Speaker 2: No, they wouldn't.

570
00:28:32,960 --> 00:28:35,040
Speaker 3: So, I mean, if they want to shoot their shot

571
00:28:35,119 --> 00:28:39,800
Speaker 3: online right behind the safety of their screen, who knows.

572
00:28:39,720 --> 00:28:41,960
Speaker 2: That's not That's what the researchers are kind of like

573
00:28:42,040 --> 00:28:44,680
Speaker 2: sort of getting to. They're like, it's much easier for

574
00:28:44,720 --> 00:28:47,880
Speaker 2: a person to do this when there it's completely disconnected

575
00:28:47,880 --> 00:28:50,560
Speaker 2: from like a physical interaction, and it's like I like this,

576
00:28:50,720 --> 00:28:53,560
Speaker 2: I don't like this. I like this, whereas yeah, like

577
00:28:53,640 --> 00:28:56,680
Speaker 2: in public it's a much you know, are I think,

578
00:28:57,080 --> 00:28:59,840
Speaker 2: at least for me, I was very very like reluctant

579
00:28:59,840 --> 00:29:02,080
Speaker 2: to approach people because I just didn't like the awkwardness

580
00:29:02,120 --> 00:29:03,200
Speaker 2: of it and I had to get over that.

581
00:29:04,360 --> 00:29:04,600
Speaker 1: And I.

582
00:29:06,200 --> 00:29:12,160
Speaker 3: Will also say that men have infinitely way more confidence

583
00:29:12,200 --> 00:29:15,320
Speaker 3: than women. Like, you know, if a woman, no matter

584
00:29:15,400 --> 00:29:20,160
Speaker 3: how hotious, he's a really hot guy, like, they're intimidated

585
00:29:20,280 --> 00:29:22,280
Speaker 3: because there aren't that many hot guys. Women are just

586
00:29:22,320 --> 00:29:27,280
Speaker 3: more attractive in general. You know, so I don't know.

587
00:29:28,240 --> 00:29:30,240
Speaker 2: No, I mean you looked right at me when you

588
00:29:30,280 --> 00:29:38,520
Speaker 2: said that, and I that many hot guys you lied. Okay.

589
00:29:39,680 --> 00:29:42,000
Speaker 1: It does just feel like this is generally like a

590
00:29:42,080 --> 00:29:47,160
Speaker 1: worse way to organize a people. Like just people in

591
00:29:47,200 --> 00:29:51,240
Speaker 1: general like aren't like they're not in as many relationships

592
00:29:51,280 --> 00:29:53,600
Speaker 1: as they used to be. People aren't having sex as

593
00:29:53,640 --> 00:29:56,880
Speaker 1: much as they used to be. Like, it feels like

594
00:29:57,360 --> 00:30:00,200
Speaker 1: there's just a lot of ways in which people or

595
00:30:00,360 --> 00:30:03,000
Speaker 1: just I don't know, Yeah, yeah, like this like puts

596
00:30:03,000 --> 00:30:05,440
Speaker 1: you at a remove and then you were just like,

597
00:30:05,760 --> 00:30:08,920
Speaker 1: I don't know, fucking gaming people. It's also funny to

598
00:30:08,920 --> 00:30:12,480
Speaker 1: like read the comments of the people who are sexually

599
00:30:12,520 --> 00:30:17,800
Speaker 1: frustrated on dating apps and like see how they communicate themselves.

600
00:30:18,080 --> 00:30:20,080
Speaker 2: Yeah, it's like, oh.

601
00:30:19,520 --> 00:30:22,880
Speaker 1: Wait, this isn't working. This this thing where you're saying,

602
00:30:23,280 --> 00:30:26,480
Speaker 1: d yeah, it comes to dating. How you stop being

603
00:30:26,520 --> 00:30:29,400
Speaker 1: a gold dig in emotional train wreck. Want to be

604
00:30:29,680 --> 00:30:35,920
Speaker 1: men ladies? Yes, wait that guy's not mailing it yet.

605
00:30:36,000 --> 00:30:39,160
Speaker 3: I don't want any and I don't want coming after

606
00:30:39,240 --> 00:30:42,280
Speaker 3: me looking for a free dinner, you know, like all

607
00:30:42,360 --> 00:30:45,200
Speaker 3: this stuff. I'm like, honey, I love that you're worried

608
00:30:45,240 --> 00:30:48,880
Speaker 3: about gold diggers. When you make fifteen grand a.

609
00:30:48,880 --> 00:30:52,160
Speaker 2: Year, you know, you never know, you never well again,

610
00:30:52,200 --> 00:30:54,400
Speaker 2: because that's like a lot of people just ingesting all

611
00:30:54,440 --> 00:30:58,080
Speaker 2: of that content and again not being not in practice

612
00:30:58,160 --> 00:30:59,920
Speaker 2: experiencing that in the real world. Like a lot of

613
00:31:00,040 --> 00:31:01,920
Speaker 2: people just hear this kind of shit, like that's how

614
00:31:01,920 --> 00:31:03,960
Speaker 2: the world is like for you, even like I don't

615
00:31:04,000 --> 00:31:06,240
Speaker 2: really get up, I don't really talk to anyone. You

616
00:31:06,240 --> 00:31:09,720
Speaker 2: can imagine though. There's another one. This is just real quick.

617
00:31:09,760 --> 00:31:11,760
Speaker 1: The guy that I just read the DEI comes to dating.

618
00:31:11,800 --> 00:31:13,760
Speaker 1: How about you stopped being gold dig and emotional trait

619
00:31:13,880 --> 00:31:15,960
Speaker 1: that that guy put his first and last name one

620
00:31:16,040 --> 00:31:20,840
Speaker 1: I know, I just signed that crazy.

621
00:31:21,080 --> 00:31:24,040
Speaker 2: There's one that's a guy named Nelson, and he leaves

622
00:31:24,080 --> 00:31:26,240
Speaker 2: a terrible one. He's like, now, men need to seek

623
00:31:26,280 --> 00:31:31,640
Speaker 2: Sherman prosecutions against mon monopolistic practices from dating companies, hedgemonds

624
00:31:31,640 --> 00:31:34,520
Speaker 2: that run on certain group politics and essentially the fame

625
00:31:34,680 --> 00:31:37,840
Speaker 2: men who don't align with politics promoted by the gemony

626
00:31:37,840 --> 00:31:41,480
Speaker 2: and offer their unlawful collaborations with defamatory and I'm constant

627
00:31:41,520 --> 00:31:45,280
Speaker 2: interested operations by the FBI and local authorities. Before questioning this,

628
00:31:45,600 --> 00:31:49,240
Speaker 2: realize first, who is telling you signed Nelson, the guy

629
00:31:49,240 --> 00:31:51,000
Speaker 2: who signed Nelson.

630
00:31:51,080 --> 00:31:55,560
Speaker 3: You need to go outside, babe, you need to go outside.

631
00:31:56,360 --> 00:31:59,640
Speaker 2: There's no there's dangerous brown people outside. I read it

632
00:31:59,680 --> 00:32:01,560
Speaker 2: here and New York Post. I'm fine.

633
00:32:01,680 --> 00:32:05,200
Speaker 1: I'm also first and last name on that one.

634
00:32:05,320 --> 00:32:08,400
Speaker 2: Yeah. First again, it's because it's boom er comments. They're

635
00:32:08,400 --> 00:32:10,160
Speaker 2: like leaps to their fucking facebooks.

636
00:32:10,440 --> 00:32:12,640
Speaker 3: Yeah, that guy hasn't had sex in like fifteen years.

637
00:32:12,720 --> 00:32:16,000
Speaker 3: It also like it depends on what you're looking for

638
00:32:16,080 --> 00:32:20,120
Speaker 3: with dating, Like I definitely give a lot of chances,

639
00:32:20,240 --> 00:32:23,320
Speaker 3: not a lot, I'm pretty busy, but to people where

640
00:32:23,320 --> 00:32:25,600
Speaker 3: I'm like, oh, yeah, I'm not looking at that guys.

641
00:32:25,720 --> 00:32:27,760
Speaker 3: But I think that's the difference between men and women,

642
00:32:27,880 --> 00:32:30,760
Speaker 3: Like women are able to see like the totality of

643
00:32:30,800 --> 00:32:33,680
Speaker 3: a person, Like I go on dates with guys all

644
00:32:33,720 --> 00:32:36,640
Speaker 3: the time where I'm not like wowed by. They're like,

645
00:32:36,760 --> 00:32:38,720
Speaker 3: oh my god, that's the hottest guy they're seeing. But

646
00:32:38,760 --> 00:32:41,320
Speaker 3: I'm like, oh, maybe they're a great person, maybe they

647
00:32:41,320 --> 00:32:43,360
Speaker 3: would end up being the love of my life.

648
00:32:43,480 --> 00:32:45,560
Speaker 2: Well, I think the other part is too, Like I

649
00:32:45,680 --> 00:32:48,080
Speaker 2: used to be so superficial when I did I only

650
00:32:48,080 --> 00:32:50,200
Speaker 2: wanted to date people that were like me, where it's

651
00:32:50,200 --> 00:32:52,520
Speaker 2: like do you like the same shows? Do you like

652
00:32:52,600 --> 00:32:56,240
Speaker 2: the same music? And I was not really I was

653
00:32:56,280 --> 00:32:59,280
Speaker 2: not experiencing like the fullest breath of life because I

654
00:32:59,320 --> 00:33:01,280
Speaker 2: was kind of like really interested in people the exact

655
00:33:01,320 --> 00:33:05,719
Speaker 2: same things. And by expanding just my horizons to be like, Okay,

656
00:33:05,720 --> 00:33:07,960
Speaker 2: maybe this person doesn't like the exact same shit, I

657
00:33:08,080 --> 00:33:09,720
Speaker 2: like that, there's something more to that, and then you

658
00:33:09,800 --> 00:33:12,440
Speaker 2: kind of begin to understand what companionship means to you.

659
00:33:12,520 --> 00:33:15,080
Speaker 2: It wasn't like they gotta like breaking bad or my

660
00:33:15,120 --> 00:33:18,400
Speaker 2: life's gonna suck. It's like, oh, they deeply care about me.

661
00:33:18,480 --> 00:33:21,760
Speaker 2: I'm I feel comfortable enough around this person to be vulnerable,

662
00:33:21,840 --> 00:33:23,760
Speaker 2: Like those are like the things that I realize over time,

663
00:33:23,800 --> 00:33:27,520
Speaker 2: I'm like, oh, that's that's actually when you feel like

664
00:33:27,560 --> 00:33:29,680
Speaker 2: you're like, I want to die with this person. That's

665
00:33:29,720 --> 00:33:31,719
Speaker 2: what I want. Rather than do they like Belly?

666
00:33:32,400 --> 00:33:34,480
Speaker 3: It takes a long time to learn that.

667
00:33:34,440 --> 00:33:39,920
Speaker 1: Stuff, you know, is do they like belly? Is like

668
00:33:40,280 --> 00:33:42,440
Speaker 1: how my seven year old, not even my nine years

669
00:33:42,480 --> 00:33:44,560
Speaker 1: How my seven year old like ficks his friends. He's

670
00:33:44,640 --> 00:33:48,040
Speaker 1: just like, do they like the specific type of legos

671
00:33:48,240 --> 00:33:48,800
Speaker 1: that I like?

672
00:33:49,120 --> 00:33:49,840
Speaker 2: Then we're good.

673
00:33:50,000 --> 00:33:52,200
Speaker 1: But for real, if they don't like we have some

674
00:33:52,280 --> 00:33:56,160
Speaker 1: work to do. Like honestly, we're like it can still

675
00:33:56,200 --> 00:33:58,840
Speaker 1: work out, but like we we need to work at

676
00:33:58,840 --> 00:33:59,840
Speaker 1: this relationship.

677
00:34:00,120 --> 00:34:04,000
Speaker 8: Yeah, find a companion. Find a companion. He doesn't like Ninjago.

678
00:34:04,600 --> 00:34:07,200
Speaker 8: Oh if he doesn't like Ninjago, Dad, kick him out.

679
00:34:07,280 --> 00:34:09,839
Speaker 8: He just didn't like to kick him out. Parents aren't

680
00:34:09,840 --> 00:34:11,120
Speaker 8: picking him up for another two hours.

681
00:34:11,120 --> 00:34:11,600
Speaker 2: I don't care.

682
00:34:11,680 --> 00:34:16,520
Speaker 1: Get him out, all right. I think this is like

683
00:34:16,560 --> 00:34:21,680
Speaker 1: a somewhat related story. So in the context of the

684
00:34:21,719 --> 00:34:25,600
Speaker 1: CEO and the head of HR getting caught in a

685
00:34:25,880 --> 00:34:29,040
Speaker 1: in an embrace at the Cold Play show, immediately like

686
00:34:29,160 --> 00:34:34,440
Speaker 1: diving through a window to try and deny the reality

687
00:34:34,600 --> 00:34:38,719
Speaker 1: of what we all witnessed. People uh Wired wrote an

688
00:34:38,800 --> 00:34:41,640
Speaker 1: article where they're like, this is actually part of a

689
00:34:41,680 --> 00:34:47,760
Speaker 1: growing trend, a boom in online private investigators, who people

690
00:34:48,520 --> 00:34:51,960
Speaker 1: hire to be like I think my spouse is cheating?

691
00:34:52,560 --> 00:34:55,080
Speaker 1: Can you look into this? And then they like post

692
00:34:55,200 --> 00:34:58,800
Speaker 1: the results like on they'll they'll blur the person's face,

693
00:34:58,840 --> 00:35:04,000
Speaker 1: but they will show like yeah, yeah, it's and like,

694
00:35:04,400 --> 00:35:09,120
Speaker 1: on the one hand, it's usually women PI doing it

695
00:35:09,239 --> 00:35:12,759
Speaker 1: for a woman who thinks their spouse is cheating. In

696
00:35:13,440 --> 00:35:16,520
Speaker 1: at least the people that's covered in this article, which

697
00:35:16,560 --> 00:35:19,600
Speaker 1: I think is crucial and makes it much more harmless

698
00:35:19,840 --> 00:35:25,120
Speaker 1: than otherwise than like just basically the social media equivalent

699
00:35:25,160 --> 00:35:26,440
Speaker 1: of that TV show Cheaters.

700
00:35:27,280 --> 00:35:29,000
Speaker 2: It's just it, just it.

701
00:35:29,120 --> 00:35:31,400
Speaker 1: Also, they're like, yeah, all all of the people we

702
00:35:31,480 --> 00:35:37,799
Speaker 1: interviewed for this article have their private investigator licensing, and

703
00:35:38,040 --> 00:35:40,200
Speaker 1: you know, seem to be doing it from a perspective

704
00:35:40,239 --> 00:35:42,719
Speaker 1: of like, we want to give women a place that

705
00:35:42,760 --> 00:35:46,319
Speaker 1: feels safe, where they can like look into things and

706
00:35:46,360 --> 00:35:48,360
Speaker 1: not have to like hire a guy in a trench

707
00:35:48,400 --> 00:35:51,760
Speaker 1: coat who's like also trying to sleep with them or whatever.

708
00:35:52,480 --> 00:35:53,880
Speaker 2: Oh this guy's scumbag.

709
00:35:53,920 --> 00:35:59,359
Speaker 1: Anyway, you like lasagna, Yeah, exactly, like the men who

710
00:35:59,400 --> 00:36:03,839
Speaker 1: get into being private investigators. It's like, I can't imagine

711
00:36:03,920 --> 00:36:04,160
Speaker 1: what that.

712
00:36:06,000 --> 00:36:07,839
Speaker 2: Yeah, that feels like a New York Post comment too.

713
00:36:07,840 --> 00:36:10,560
Speaker 2: It's like, fellas, ever since I became a PI, I've

714
00:36:10,560 --> 00:36:12,879
Speaker 2: been doing great with dating just to hip.

715
00:36:13,160 --> 00:36:16,560
Speaker 1: You know, you're like, oh god, but I do feel

716
00:36:16,560 --> 00:36:19,719
Speaker 1: like it's a it's another thing where we're you know,

717
00:36:19,840 --> 00:36:23,880
Speaker 1: at a remove. Everybody's kind of lonely. Everybody's experiencing the

718
00:36:23,920 --> 00:36:28,080
Speaker 1: world at a remove and through like digital interfaces, and

719
00:36:28,160 --> 00:36:34,840
Speaker 1: so like we're consuming this shit just to like feel schanfreude.

720
00:36:34,880 --> 00:36:37,000
Speaker 1: And you know, I guess it's like the same thing

721
00:36:37,000 --> 00:36:41,160
Speaker 1: that people used to experience through like gossiping at work

722
00:36:41,400 --> 00:36:45,000
Speaker 1: in person. But it does feel like if if it

723
00:36:45,040 --> 00:36:48,319
Speaker 1: becomes less and less regulated and more and more just

724
00:36:48,360 --> 00:36:52,840
Speaker 1: like fucking I watch Andrew tape videos and I'm also

725
00:36:52,920 --> 00:36:54,920
Speaker 1: going to be a pi like that. I feel like

726
00:36:54,960 --> 00:36:56,800
Speaker 1: that could go in a very dark direction.

727
00:36:57,000 --> 00:37:00,319
Speaker 2: Oh, the perspective in which you try to uncover the

728
00:37:00,400 --> 00:37:02,160
Speaker 2: truth for people to help them.

729
00:37:02,280 --> 00:37:05,680
Speaker 3: Yeah, I have a few thoughts on this. I think

730
00:37:05,719 --> 00:37:10,680
Speaker 3: this is really a lot of this is about the past.

731
00:37:11,160 --> 00:37:15,360
Speaker 3: You know, five years of people deciding the growing unrest

732
00:37:15,440 --> 00:37:18,799
Speaker 3: against billionaires. We saw it with the submarine explosion all that,

733
00:37:18,960 --> 00:37:21,240
Speaker 3: and it started to the fact that this guy's a millionship.

734
00:37:21,360 --> 00:37:24,200
Speaker 1: Marine explosion is a great example. I've been using just

735
00:37:25,120 --> 00:37:28,960
Speaker 1: Luigi Mangioni and this CEO guy. But yeah, the submarine example.

736
00:37:29,600 --> 00:37:34,520
Speaker 3: No, because here's the thing. Women get so angry about cheating,

737
00:37:34,719 --> 00:37:38,640
Speaker 3: but you're not going to see men across the country

738
00:37:38,719 --> 00:37:42,280
Speaker 3: like going nuts about a dude cheating. They're like, Okay,

739
00:37:42,600 --> 00:37:47,600
Speaker 3: that's like multi lat yeah, yeah, that guy's baller. And

740
00:37:48,000 --> 00:37:51,719
Speaker 3: but that in combination yeah, Like I think people were like, oh,

741
00:37:51,800 --> 00:37:55,960
Speaker 3: and it was just so public and brazen, like you know,

742
00:37:56,200 --> 00:38:01,640
Speaker 3: this wasn't like someone getting caught cheating, like when photos

743
00:38:01,719 --> 00:38:05,480
Speaker 3: when they're like getting paparazzi found them, like getting out

744
00:38:05,480 --> 00:38:09,440
Speaker 3: of a car somewhere, Like this isn't the most public forum,

745
00:38:09,520 --> 00:38:13,040
Speaker 3: So it just felt more brazen, like like a few thing.

746
00:38:13,320 --> 00:38:13,520
Speaker 4: You know.

747
00:38:13,840 --> 00:38:15,759
Speaker 2: I think like that shot in Freud, I think a

748
00:38:15,840 --> 00:38:18,319
Speaker 2: lot of it, Like to your point, like Blair, is

749
00:38:19,040 --> 00:38:22,239
Speaker 2: that just generally we feel so powerless in terms of

750
00:38:22,239 --> 00:38:26,640
Speaker 2: what like the wealthy do that any kind of any

751
00:38:26,719 --> 00:38:30,520
Speaker 2: kind of come upance is going to be embraced immediately

752
00:38:30,760 --> 00:38:33,400
Speaker 2: because you feel like I just want to see some

753
00:38:33,480 --> 00:38:37,000
Speaker 2: fucking accountability fucking somewhere, you know, because I feel like

754
00:38:37,080 --> 00:38:39,360
Speaker 2: a lot of that is sort of simmering underneath a

755
00:38:39,360 --> 00:38:41,279
Speaker 2: lot of like, you know, especially in our society, is

756
00:38:41,320 --> 00:38:44,560
Speaker 2: like where's the accountability for people that are actually like

757
00:38:44,640 --> 00:38:48,160
Speaker 2: affecting our lives negatively truly in a tangible way. And

758
00:38:48,239 --> 00:38:50,759
Speaker 2: I think so when the CEO sort of category of

759
00:38:50,800 --> 00:38:52,759
Speaker 2: person kind of intersects with that, and then when you

760
00:38:52,760 --> 00:38:54,920
Speaker 2: see that, you're like, yeah, exactly, yeah, fuck you, I

761
00:38:54,920 --> 00:38:57,839
Speaker 2: got no sympathy for this motherfucker, and.

762
00:38:57,800 --> 00:39:00,400
Speaker 1: I get so hungry for it that will like allow

763
00:39:00,440 --> 00:39:03,759
Speaker 1: it to be a submarine implosion that like killed a

764
00:39:03,760 --> 00:39:07,000
Speaker 1: bunch of other people will still be like, ah, fucking.

765
00:39:08,680 --> 00:39:10,000
Speaker 2: Not me, Like I can't.

766
00:39:10,560 --> 00:39:14,520
Speaker 3: I still my friends are like, you know, I just

767
00:39:14,800 --> 00:39:18,400
Speaker 3: I can't celebrate like people dying it like that. But

768
00:39:18,480 --> 00:39:23,080
Speaker 3: I do not think this country cares about extramarital cheating

769
00:39:23,120 --> 00:39:25,640
Speaker 3: in the way that the reaction to this, it's much

770
00:39:25,640 --> 00:39:30,440
Speaker 3: more about him, yes, and the Trump Trump culture where

771
00:39:30,480 --> 00:39:34,239
Speaker 3: it feels like, oh, there's just no laws for these guys,

772
00:39:34,280 --> 00:39:39,080
Speaker 3: like they're truly running over society, the elon like all

773
00:39:39,160 --> 00:39:42,359
Speaker 3: the whole Elon musk mess for the last like year

774
00:39:42,480 --> 00:39:45,239
Speaker 3: or two. And yeah, I just think it brought a

775
00:39:45,239 --> 00:39:48,839
Speaker 3: lot of people feeling like they could take power back

776
00:39:48,880 --> 00:39:53,480
Speaker 3: by witnessing that. Also, the way they freaking dove out

777
00:39:53,520 --> 00:39:57,200
Speaker 3: of the way this was exactly I will be vulnerable

778
00:39:57,239 --> 00:39:59,600
Speaker 3: with you. For one moment, I was pulling I'm not

779
00:39:59,640 --> 00:40:03,000
Speaker 3: proud of this, but I was pulling into my parents' neighborhood.

780
00:40:03,320 --> 00:40:06,880
Speaker 3: You know, we got a lot of like family emergencies happening,

781
00:40:07,160 --> 00:40:10,840
Speaker 3: and I text my mom pulling up and a cop

782
00:40:11,080 --> 00:40:15,000
Speaker 3: drove by me, and instead of putting my phone down sly, slyly,

783
00:40:15,640 --> 00:40:18,719
Speaker 3: I threw it like I was that goddamn CEO and

784
00:40:20,120 --> 00:40:23,080
Speaker 3: like was at the least like cool you could be

785
00:40:23,160 --> 00:40:26,960
Speaker 3: in that situation. And immediately got pulled over and got

786
00:40:27,040 --> 00:40:30,680
Speaker 3: a ticket. And I was like and I was like, oh, rightfully,

787
00:40:30,719 --> 00:40:33,960
Speaker 3: so absolutely and the and I was like crying because

788
00:40:34,000 --> 00:40:36,759
Speaker 3: I was upset about my brother, and I was like,

789
00:40:36,960 --> 00:40:38,200
Speaker 3: he was so nice to me. And I was like,

790
00:40:39,160 --> 00:40:43,640
Speaker 3: you have a really nice bedside manner for being an

791
00:40:43,719 --> 00:40:44,640
Speaker 3: evil demon.

792
00:40:45,160 --> 00:40:45,360
Speaker 4: You know.

793
00:40:46,080 --> 00:40:49,200
Speaker 3: I didn't say the demon part, but yeah, I meant

794
00:40:49,200 --> 00:40:52,960
Speaker 3: to be like for being for me. Yeah, for being

795
00:40:53,000 --> 00:40:54,280
Speaker 3: a fucking pig.

796
00:40:57,440 --> 00:41:03,120
Speaker 2: Break out your You're a fucking pig, motherfucker. Give me

797
00:41:03,160 --> 00:41:06,200
Speaker 2: my fucking ticket. Also, okay, if I get out of

798
00:41:06,200 --> 00:41:07,560
Speaker 2: my car to pick up my phone, I know I

799
00:41:07,600 --> 00:41:10,600
Speaker 2: threw it out the window while we were I didn't.

800
00:41:11,520 --> 00:41:13,839
Speaker 3: And look, I have been wrong before because of my

801
00:41:14,000 --> 00:41:18,000
Speaker 3: autism about I've been wrong maybe one million times. But

802
00:41:18,760 --> 00:41:23,000
Speaker 3: I do believe this was the one nice cop in existence.

803
00:41:23,400 --> 00:41:26,359
Speaker 2: Sure sure, sure, yeah you found you found that cop.

804
00:41:26,480 --> 00:41:28,319
Speaker 1: It's just a few bad ones out there.

805
00:41:28,440 --> 00:41:31,160
Speaker 2: It was that I'm saying, spoiling the whole.

806
00:41:31,000 --> 00:41:33,000
Speaker 3: Bunch except for Mariscal Hargeta.

807
00:41:33,560 --> 00:41:35,839
Speaker 2: Yeah, that's right, right right. I remember going up there

808
00:41:35,840 --> 00:41:37,200
Speaker 2: was a cop that came to our neighborhood for a

809
00:41:37,200 --> 00:41:41,319
Speaker 2: block party and did the macarena and he was all right,

810
00:41:41,440 --> 00:41:42,080
Speaker 2: he was all right.

811
00:41:42,800 --> 00:41:46,440
Speaker 3: Those cops stories where it's like an old person commits

812
00:41:46,800 --> 00:41:49,080
Speaker 3: because they're like whatever, and they come back like and

813
00:41:49,200 --> 00:41:52,239
Speaker 3: make them dinner or something because they were hungry, and

814
00:41:52,280 --> 00:41:54,439
Speaker 3: you're like, oh, that's good, that's a good cop.

815
00:41:54,880 --> 00:41:57,839
Speaker 2: The thing was that it was just this stripper who

816
00:41:57,920 --> 00:41:59,759
Speaker 2: lived in the neighborhood who had a cop, you know,

817
00:41:59,800 --> 00:42:02,160
Speaker 2: form because he was he had way too much honey

818
00:42:02,200 --> 00:42:03,680
Speaker 2: in those hips when he was in the mock around

819
00:42:06,040 --> 00:42:10,279
Speaker 2: a body roll. Yeah, I didn't know until later on.

820
00:42:10,320 --> 00:42:12,279
Speaker 2: My mom was like, you know that was a stripper, right,

821
00:42:12,320 --> 00:42:16,560
Speaker 2: that was an actual cop, And no, I don't tell

822
00:42:16,640 --> 00:42:21,600
Speaker 2: I don't tell tales that it No, I'm lying, oh Jackie,

823
00:42:21,719 --> 00:42:22,719
Speaker 2: And I knew that one.

824
00:42:23,440 --> 00:42:27,160
Speaker 1: Wait for real, wait, Blair was the person who pull

825
00:42:27,280 --> 00:42:30,800
Speaker 1: you over with that stripper? Was that a stripper?

826
00:42:31,440 --> 00:42:35,560
Speaker 3: I believe more strippers should be men, is my personal belief.

827
00:42:36,400 --> 00:42:39,919
Speaker 2: Anytime I see a dude properly hit a body roll,

828
00:42:40,280 --> 00:42:42,799
Speaker 2: oh my God, they were a stripper. Too many people

829
00:42:42,840 --> 00:42:45,480
Speaker 2: are too stiff with the body roll. At the very least,

830
00:42:45,520 --> 00:42:50,320
Speaker 2: men need to be body rolling harder, sexier, I mean straight.

831
00:42:50,239 --> 00:42:55,320
Speaker 3: A man being objectified in a workplace setting.

832
00:42:55,840 --> 00:42:59,520
Speaker 1: Hey, yeah, speaking of object objectified in a workplace setting,

833
00:42:59,600 --> 00:43:01,359
Speaker 1: let's take quick break. Won't come back and talk about

834
00:43:01,360 --> 00:43:02,520
Speaker 1: that Sidney Sweeney campaign.

835
00:43:02,640 --> 00:43:15,400
Speaker 2: We'll be right back, and we're back. We're back.

836
00:43:15,840 --> 00:43:18,400
Speaker 1: And I didn't even know about this happening in my

837
00:43:18,480 --> 00:43:23,160
Speaker 1: own dang city. There there's a Elon musk Tesla diner.

838
00:43:23,400 --> 00:43:24,560
Speaker 2: Were you aware of this, Miles?

839
00:43:24,640 --> 00:43:26,600
Speaker 1: Were you at one of the people in the one

840
00:43:26,640 --> 00:43:27,760
Speaker 1: hundred deep line?

841
00:43:28,280 --> 00:43:28,480
Speaker 3: Yeah?

842
00:43:28,520 --> 00:43:30,719
Speaker 2: Yeah, I was first in line, first line for your

843
00:43:30,800 --> 00:43:33,720
Speaker 2: epic bacon. Hell yeah, for twelve dollars, that's.

844
00:43:33,560 --> 00:43:36,880
Speaker 4: What No, wait, hold on, was that a joke? Is

845
00:43:36,920 --> 00:43:37,839
Speaker 4: epic bacon on.

846
00:43:37,800 --> 00:43:40,040
Speaker 1: The Mapic bacon is on the menu, And we will

847
00:43:40,040 --> 00:43:41,640
Speaker 1: get to how epic it is.

848
00:43:41,680 --> 00:43:43,600
Speaker 2: Carmen, my sweet summer child.

849
00:43:44,000 --> 00:43:50,239
Speaker 1: So he's like just fucking up increasingly like things that

850
00:43:50,320 --> 00:43:53,080
Speaker 1: could be cool, Like he fucked up Twitter, fucked up

851
00:43:53,120 --> 00:43:56,960
Speaker 1: space travel, fucked up stuff driving cars, fucked up fatherhood.

852
00:43:58,120 --> 00:44:02,239
Speaker 4: Yeah, using your child is a human robot.

853
00:44:02,360 --> 00:44:05,480
Speaker 2: Just like sex. He made sex like awful, Like it's

854
00:44:05,520 --> 00:44:07,960
Speaker 2: really hard to fuck up sex. But he's like Malings

855
00:44:08,360 --> 00:44:09,680
Speaker 2: reaching out to people.

856
00:44:09,400 --> 00:44:13,000
Speaker 1: On social media fucked up grimes big time, reaching out

857
00:44:13,000 --> 00:44:14,920
Speaker 1: the people on social media and being like can I

858
00:44:15,000 --> 00:44:19,480
Speaker 1: mail you my sperm? Like is so like it sucks

859
00:44:19,520 --> 00:44:20,080
Speaker 1: so bad.

860
00:44:20,400 --> 00:44:20,680
Speaker 2: Yeah.

861
00:44:21,080 --> 00:44:26,520
Speaker 1: Anyways, he is now coming for diners, which, like, damn it.

862
00:44:27,000 --> 00:44:33,319
Speaker 4: That was the fucking the guy with the spikey hairs job, right, guy,

863
00:44:34,120 --> 00:44:35,000
Speaker 4: that was his job.

864
00:44:35,719 --> 00:44:38,040
Speaker 2: Yeah, he's too busy being in Adam saying the happy

865
00:44:38,040 --> 00:44:41,279
Speaker 2: Gilmore too sequel? How is it he has it? It's

866
00:44:41,400 --> 00:44:44,040
Speaker 2: there's just again, there's too many cameo range.

867
00:44:46,360 --> 00:44:51,360
Speaker 1: And then the big takeaway I'm hearing like bad Bunny

868
00:44:51,480 --> 00:44:53,000
Speaker 1: is like one of our great actors.

869
00:44:53,320 --> 00:44:55,680
Speaker 2: Bad Bunny has ranged, she has comedic crime.

870
00:44:56,160 --> 00:44:58,680
Speaker 1: I mean he was like I watched that uh blit

871
00:44:58,719 --> 00:45:03,640
Speaker 1: train movie with Brad Pitt. He was pretty good in that.

872
00:45:03,520 --> 00:45:06,200
Speaker 1: That Bunny like just looks great on camera, which I

873
00:45:06,400 --> 00:45:07,600
Speaker 1: guess shouldn't surprise me.

874
00:45:07,680 --> 00:45:11,760
Speaker 2: But it looks like spooky ship in it. Spooky shit. Yeah,

875
00:45:11,760 --> 00:45:13,680
Speaker 2: hey man, you look like spooky shit?

876
00:45:14,000 --> 00:45:14,680
Speaker 1: Are you okay?

877
00:45:14,840 --> 00:45:15,000
Speaker 2: Bro?

878
00:45:17,120 --> 00:45:21,680
Speaker 1: It's the Anyways, he's coming for the diner, which should

879
00:45:21,680 --> 00:45:24,400
Speaker 1: be pretty difficult to fuck up. But this man is

880
00:45:24,880 --> 00:45:29,280
Speaker 1: the one, the one genius he has is fucking up everything.

881
00:45:29,680 --> 00:45:32,759
Speaker 1: So open a diner in Hollywood, which is like this

882
00:45:33,239 --> 00:45:39,200
Speaker 1: retro futurist kind of greasy spoon that our writer Jam

883
00:45:39,239 --> 00:45:41,760
Speaker 1: says should be described as what if What if planet

884
00:45:41,840 --> 00:45:44,240
Speaker 1: Hollywood was an in cell ufo.

885
00:45:46,000 --> 00:45:49,200
Speaker 4: Fucking facts and all the losers were there instead of

886
00:45:49,200 --> 00:45:50,000
Speaker 4: all the celebrities?

887
00:45:50,040 --> 00:45:53,799
Speaker 2: Oh my god, yeah exactly, and yeah, look well look

888
00:45:53,840 --> 00:45:57,000
Speaker 2: that's some other asshole charging their cyber truck there. Sweet.

889
00:45:58,040 --> 00:46:01,279
Speaker 4: So did he build this exterior like that it was

890
00:46:01,320 --> 00:46:02,839
Speaker 4: not already existing in La.

891
00:46:03,040 --> 00:46:04,959
Speaker 2: No, this did not This is this is it does

892
00:46:05,000 --> 00:46:06,560
Speaker 2: look like it could be something.

893
00:46:06,760 --> 00:46:09,080
Speaker 1: Yeah, I know, you know how like there's like, oh

894
00:46:09,120 --> 00:46:12,399
Speaker 1: that was clearly an old like retro you.

895
00:46:12,360 --> 00:46:16,400
Speaker 4: Know dining, Like he like built the okay, yeah.

896
00:46:16,320 --> 00:46:16,759
Speaker 2: He built this.

897
00:46:17,440 --> 00:46:20,920
Speaker 1: Yeah, it's it's like what if like he took the

898
00:46:20,960 --> 00:46:23,719
Speaker 1: same unsubtle approach he took to cyber trucks and like

899
00:46:23,840 --> 00:46:27,279
Speaker 1: you did that with like, okay, this should be like circular?

900
00:46:27,400 --> 00:46:28,600
Speaker 2: What if we did? Circular?

901
00:46:28,680 --> 00:46:33,239
Speaker 1: Diner open on July twenty, first lineup of nearly one

902
00:46:33,360 --> 00:46:37,720
Speaker 1: hundred people, which as somebody who drives around Los Angeles,

903
00:46:37,760 --> 00:46:40,400
Speaker 1: like who you know? I have to drive down Melrose

904
00:46:40,960 --> 00:46:43,359
Speaker 1: every once in a while to like, I'm sorry, pick

905
00:46:43,400 --> 00:46:44,360
Speaker 1: up my kids from camp.

906
00:46:44,480 --> 00:46:48,120
Speaker 2: And there is a line. There are lots.

907
00:46:48,120 --> 00:46:51,480
Speaker 1: There are line lineups of nearly one hundred people everywhere

908
00:46:51,600 --> 00:46:51,960
Speaker 1: all the.

909
00:46:51,920 --> 00:46:56,920
Speaker 2: Time for daycare pickup Melrose, especially especially get your Crescent Heights.

910
00:46:57,040 --> 00:46:59,480
Speaker 1: Yeah, but not just not just daycad No, but I

911
00:46:59,520 --> 00:47:04,360
Speaker 1: mean just Melro like just like for brunch for shah,

912
00:47:04,560 --> 00:47:05,160
Speaker 1: just hype shit.

913
00:47:05,760 --> 00:47:06,240
Speaker 2: Anyways.

914
00:47:06,480 --> 00:47:10,600
Speaker 1: Food is served in cyber truck shaped boxes, which some

915
00:47:10,680 --> 00:47:16,319
Speaker 1: customers wore as hats because lots of people are fucking moron.

916
00:47:16,360 --> 00:47:19,799
Speaker 4: So they ate the food from the box and then

917
00:47:19,800 --> 00:47:24,719
Speaker 4: they put the why why am I the greasy box? Yeah,

918
00:47:25,200 --> 00:47:27,919
Speaker 4: with the the epic bacon in it, and they put

919
00:47:27,920 --> 00:47:29,640
Speaker 4: the epic bacon grease on.

920
00:47:29,719 --> 00:47:33,279
Speaker 2: The epic bacon is actually a smaller container. It'd be

921
00:47:33,280 --> 00:47:36,320
Speaker 2: hard to You could make those mittens if you really wanted,

922
00:47:36,800 --> 00:47:37,520
Speaker 2: but not so much.

923
00:47:37,560 --> 00:47:40,839
Speaker 1: A hat from behind the pass in the kitchen, green

924
00:47:40,920 --> 00:47:45,840
Speaker 1: Span shouted, customer orders epic bacon tune of melt cheese,

925
00:47:45,880 --> 00:47:48,120
Speaker 1: epic bacd Jesus Christ, fuck.

926
00:47:48,040 --> 00:47:51,000
Speaker 2: Eric Greenspan too. The fucking chef who's running this. You

927
00:47:51,080 --> 00:47:53,640
Speaker 2: fucking lose her. He's like, this is a collabor People

928
00:47:53,640 --> 00:47:56,040
Speaker 2: were like, bro, why are you working with this fucking nazi?

929
00:47:56,600 --> 00:47:59,839
Speaker 2: Like what's your fucking deals? Like, this is a collaboration, dude,

930
00:48:00,400 --> 00:48:03,440
Speaker 2: But he just fucking sucks. Dude. He had a shitty

931
00:48:03,480 --> 00:48:08,520
Speaker 2: grilled cheese restaurant on Melrose. I fucking hated. Sorry takes

932
00:48:08,880 --> 00:48:09,319
Speaker 2: into this.

933
00:48:09,719 --> 00:48:13,359
Speaker 1: So people seemed really excited that the Tesla Diner will

934
00:48:13,360 --> 00:48:17,839
Speaker 1: be selling four strips of quote epic bacon for twelve dollars. Yeah,

935
00:48:18,400 --> 00:48:20,200
Speaker 1: three dollars a strip.

936
00:48:20,360 --> 00:48:23,319
Speaker 2: Well, hold on, Carmen Jack, describe the bacon that you

937
00:48:23,440 --> 00:48:24,880
Speaker 2: sell for twelve dollars.

938
00:48:25,280 --> 00:48:28,080
Speaker 1: So let me get down to where somebody actually had it.

939
00:48:28,800 --> 00:48:31,640
Speaker 1: So somebody went viral because they just like went to

940
00:48:31,680 --> 00:48:34,040
Speaker 1: the thing and took a picture of what the epic

941
00:48:34,120 --> 00:48:38,160
Speaker 1: bacon looked like next to like what they advertise it as,

942
00:48:38,640 --> 00:48:42,600
Speaker 1: and it's it's a perfect metaphor something.

943
00:48:42,960 --> 00:48:46,000
Speaker 2: It was billed as four strips of maple glazed black

944
00:48:46,040 --> 00:48:50,400
Speaker 2: pepper bacon, served with choice of dip. Because everyone who

945
00:48:50,480 --> 00:48:53,839
Speaker 2: lives on planet Earth, that's a bacon loving normy nose.

946
00:48:53,920 --> 00:48:57,080
Speaker 2: You gotta dip your bacon. And dip your bacon the

947
00:48:57,160 --> 00:48:57,960
Speaker 2: epic bacon.

948
00:48:58,719 --> 00:49:01,440
Speaker 4: Fuck that's like fifteen years old now.

949
00:49:03,239 --> 00:49:04,400
Speaker 2: Like that right me?

950
00:49:04,680 --> 00:49:06,600
Speaker 4: That's like me and twenty years with my labuboo.

951
00:49:07,040 --> 00:49:13,120
Speaker 2: Everyone be like, I mean, yes, you just eating a

952
00:49:13,120 --> 00:49:15,279
Speaker 2: bunch of epic bacon too with your labubu right now,

953
00:49:15,840 --> 00:49:19,560
Speaker 2: you know. So yeah, that's my Saturday night.

954
00:49:19,920 --> 00:49:23,879
Speaker 1: So the bacon itself was chewy, not crunchy, of course,

955
00:49:23,880 --> 00:49:26,640
Speaker 1: and like it comes in like a fry you know,

956
00:49:26,680 --> 00:49:29,719
Speaker 1: like a McDonald's fry container, you know, like one of

957
00:49:29,760 --> 00:49:38,160
Speaker 1: the cardboard sleeves, polygon shape and the picture yeah polagonal, polygonal, yeah, polygonal. Yeah,

958
00:49:38,200 --> 00:49:42,400
Speaker 1: Like and it has like the bacon just these thick, thick,

959
00:49:42,440 --> 00:49:46,080
Speaker 1: old chonky slices of bacon pouring out of it on

960
00:49:46,160 --> 00:49:48,600
Speaker 1: the you know image that they sell.

961
00:49:48,480 --> 00:49:49,040
Speaker 2: You on it with.

962
00:49:49,160 --> 00:49:53,640
Speaker 1: And then the actual bacon is like so sad. There's

963
00:49:53,680 --> 00:49:56,600
Speaker 1: like one tiny little curl of bacon.

964
00:49:56,360 --> 00:50:01,320
Speaker 2: Like like peaking enough to actually yeah, yea be prominent.

965
00:50:01,920 --> 00:50:04,960
Speaker 2: I mean again, this is exactly Elon Musk's whole fucking

966
00:50:05,000 --> 00:50:08,000
Speaker 2: shtick is like, look at this thing that I'm saying

967
00:50:08,160 --> 00:50:11,040
Speaker 2: is cool and its presentation. Oh, but once you buy it,

968
00:50:11,040 --> 00:50:13,560
Speaker 2: it's it's gonna be the absolute shittiest version of the

969
00:50:13,600 --> 00:50:16,200
Speaker 2: thing I said it was gonna be. I mean electric sauce.

970
00:50:16,239 --> 00:50:16,680
Speaker 2: By the way.

971
00:50:17,000 --> 00:50:20,480
Speaker 1: Another thing that's just a perfect metaportraits that's just relabeled

972
00:50:20,560 --> 00:50:24,760
Speaker 1: Chipotle Mayo. Yeah, it's just Chipolan.

973
00:50:24,840 --> 00:50:28,560
Speaker 2: That's another fucking like fifteen year old food like flea.

974
00:50:28,719 --> 00:50:32,440
Speaker 4: Have you heard of this Chipotle Mayo sauce?

975
00:50:32,760 --> 00:50:36,320
Speaker 2: If you trieds electric sauce, dude, get the fuck away

976
00:50:36,360 --> 00:50:36,960
Speaker 2: from bacon.

977
00:50:37,320 --> 00:50:39,840
Speaker 4: You gotta get the electric sauce with that big bacon.

978
00:50:39,880 --> 00:50:40,040
Speaker 3: Bro.

979
00:50:40,800 --> 00:50:43,440
Speaker 2: Oh, I'm just so glad that people are protesting in

980
00:50:43,480 --> 00:50:45,040
Speaker 2: front of this thing, because like, well, there are some

981
00:50:45,080 --> 00:50:48,960
Speaker 2: people dumb enough to appear in public patronizing this place. Yeah,

982
00:50:49,000 --> 00:50:51,040
Speaker 2: there are plenty of people who are just like, yeah,

983
00:50:51,080 --> 00:50:54,480
Speaker 2: this is the Nazi diners, just what you fucking want. Also,

984
00:50:54,680 --> 00:50:56,960
Speaker 2: it's a fucking nuisance to the people that live nearby.

985
00:50:57,640 --> 00:51:00,359
Speaker 4: Yeah, it's and what pisses me. And I know Jamie

986
00:51:00,440 --> 00:51:02,839
Speaker 4: talks about that's talked about this on the pod before,

987
00:51:02,920 --> 00:51:05,280
Speaker 4: but kisses me off to note and that those people

988
00:51:06,000 --> 00:51:08,879
Speaker 4: that are going and standing in line here and also

989
00:51:08,880 --> 00:51:11,279
Speaker 4: buying the blue checks on Twitter, they think that they

990
00:51:11,360 --> 00:51:15,680
Speaker 4: are like punk or whatever because they think that they

991
00:51:16,040 --> 00:51:19,000
Speaker 4: now that they think that they're on like the fringe

992
00:51:19,160 --> 00:51:23,759
Speaker 4: of like you know, public belief, and it's so infuriating

993
00:51:23,880 --> 00:51:28,480
Speaker 4: to me, like y'all are so stupid. You're literally yuppies.

994
00:51:28,640 --> 00:51:30,239
Speaker 4: You're stupid, Like.

995
00:51:32,360 --> 00:51:34,279
Speaker 2: Yeah, I mean it's just so funny too. Of like

996
00:51:34,360 --> 00:51:36,439
Speaker 2: if even if they it's like, oh, you think you're punk,

997
00:51:36,480 --> 00:51:38,400
Speaker 2: you're like, okay, tell me about punk music, tell me

998
00:51:38,400 --> 00:51:41,000
Speaker 2: about the talk about the history of punk rock, right,

999
00:51:41,400 --> 00:51:43,120
Speaker 2: because it was that a bunch of people being like,

1000
00:51:43,320 --> 00:51:46,440
Speaker 2: we love Lee Iacoca, we love the government, and we

1001
00:51:46,480 --> 00:51:51,160
Speaker 2: love Margaret Thatcher. Are you fucking stupid? This is the antithesis.

1002
00:51:51,280 --> 00:51:53,920
Speaker 2: Y'all are fucking out here just being like we love

1003
00:51:54,000 --> 00:51:57,959
Speaker 2: Margaret Thatcher. Basically yeah, cool man, that's fucking sick. Dog.

1004
00:51:58,080 --> 00:52:00,319
Speaker 2: That's so fucking sick. Cool cool, cool cool, And.

1005
00:52:00,440 --> 00:52:04,000
Speaker 1: There were like I do I think, you know, we've

1006
00:52:04,040 --> 00:52:06,360
Speaker 1: been predicting for a long time that like the eighties

1007
00:52:06,360 --> 00:52:08,520
Speaker 1: were coming back, where like it was seen as cool,

1008
00:52:08,520 --> 00:52:10,000
Speaker 1: and like, I think that's what it is. It's like

1009
00:52:10,400 --> 00:52:12,880
Speaker 1: all the fucking yuppies, like you said, Carmen, are just

1010
00:52:12,920 --> 00:52:15,880
Speaker 1: like back and they're like it's actually.

1011
00:52:15,480 --> 00:52:21,120
Speaker 2: Cool to be this to be I bought people.

1012
00:52:21,800 --> 00:52:23,640
Speaker 4: Yeah, it's really epic.

1013
00:52:24,280 --> 00:52:24,760
Speaker 2: Mm hmmm.

1014
00:52:25,080 --> 00:52:27,480
Speaker 1: They also have to drive in movie theaters. I don't know,

1015
00:52:27,520 --> 00:52:32,000
Speaker 1: it's it's dude for tesla. Yes, yeah, you can charge

1016
00:52:32,000 --> 00:52:34,560
Speaker 1: your car and like watch a movie while eating the

1017
00:52:34,600 --> 00:52:36,760
Speaker 1: world's shittiest food there.

1018
00:52:37,040 --> 00:52:41,560
Speaker 2: But like Twitter, like the Twitter posts about the people

1019
00:52:41,600 --> 00:52:44,960
Speaker 2: who like live nearby, like this thing that people were liking.

1020
00:52:45,000 --> 00:52:49,040
Speaker 2: It to the Seinfeld Kenny Rogers Roasters episode, Yeah, where

1021
00:52:49,080 --> 00:52:51,920
Speaker 2: the fucking like the lights were just like wing in

1022
00:52:51,960 --> 00:52:55,160
Speaker 2: the people's apartments and they were what the fuck man, like,

1023
00:52:55,440 --> 00:52:58,080
Speaker 2: I can't and it's loud, it's what's all fucked up?

1024
00:52:58,320 --> 00:53:01,080
Speaker 4: Just like when he put the X sign up it

1025
00:53:01,160 --> 00:53:03,080
Speaker 4: lit up the whole fucking where with them.

1026
00:53:03,200 --> 00:53:06,040
Speaker 2: Yeah, and people were like, get this ship down, Like,

1027
00:53:06,200 --> 00:53:09,160
Speaker 2: are you fucking stupid again? This makes sense that a

1028
00:53:09,280 --> 00:53:12,840
Speaker 2: person who has no concept that other people exist on

1029
00:53:12,920 --> 00:53:15,640
Speaker 2: planet Earth that have like a right to peace would

1030
00:53:15,680 --> 00:53:19,279
Speaker 2: just build this monstrosity that has fans to keep their

1031
00:53:19,520 --> 00:53:23,439
Speaker 2: gigantic led screen cool like a making it just life

1032
00:53:23,520 --> 00:53:25,359
Speaker 2: miserable for the people who live next door.

1033
00:53:25,400 --> 00:53:28,319
Speaker 4: Oh well, that's owning the lips, Like if you're if

1034
00:53:28,320 --> 00:53:30,920
Speaker 4: you're miserable, you're a lip and they're owning the libs.

1035
00:53:31,000 --> 00:53:34,040
Speaker 2: That's called owning it. It's called owning a business. Yeah,

1036
00:53:34,239 --> 00:53:35,080
Speaker 2: I actually like that.

1037
00:53:35,160 --> 00:53:38,000
Speaker 1: I can't even hear the helicopters anymore because of how

1038
00:53:38,040 --> 00:53:43,440
Speaker 1: loud the fan is. That's cooling the giant led screen. Yeah.

1039
00:53:43,480 --> 00:53:47,520
Speaker 1: And one reviewer was felt was left feeling mildly nauseated

1040
00:53:47,560 --> 00:53:50,640
Speaker 1: after the meal, which would make sense since people have

1041
00:53:50,800 --> 00:53:54,760
Speaker 1: taken photos of boxes of frozen products and milk sitting

1042
00:53:54,800 --> 00:53:59,160
Speaker 1: out in the dry the parking lot in July heat.

1043
00:53:59,719 --> 00:54:02,000
Speaker 4: What's I really want to know what their food safety

1044
00:54:02,040 --> 00:54:04,399
Speaker 4: rating is, like the kitchen score, you know.

1045
00:54:04,960 --> 00:54:08,800
Speaker 1: I mean he pays pays for that, pays for an eye,

1046
00:54:08,920 --> 00:54:12,920
Speaker 1: you know. All right, let's end on some good news, okay,

1047
00:54:13,280 --> 00:54:17,960
Speaker 1: oslots which are like really cool, jungle cats and possums,

1048
00:54:18,280 --> 00:54:18,840
Speaker 1: which are.

1049
00:54:19,800 --> 00:54:20,680
Speaker 2: My mother's favorite.

1050
00:54:20,719 --> 00:54:26,880
Speaker 1: There are marsupial kind of nasty looking by some standards.

1051
00:54:27,080 --> 00:54:29,600
Speaker 1: Other others would call them cute, but they they have

1052
00:54:29,719 --> 00:54:32,320
Speaker 1: faces from hell kind of which.

1053
00:54:32,440 --> 00:54:37,720
Speaker 2: They have faces from That's okay, I got to my mother.

1054
00:54:38,360 --> 00:54:42,840
Speaker 2: The possum their faces get fucked up because they can't see,

1055
00:54:43,000 --> 00:54:46,120
Speaker 2: and they experience the world with they lead with their

1056
00:54:46,160 --> 00:54:48,839
Speaker 2: face so that's why that ship is the first thing

1057
00:54:48,920 --> 00:54:52,520
Speaker 2: getting mashed up. If you see out the fucking Fresh

1058
00:54:52,600 --> 00:54:54,400
Speaker 2: out the Box, Baby.

1059
00:54:55,320 --> 00:54:59,560
Speaker 1: Fresh Out the Box, it's in one of those spacesuits,

1060
00:54:59,600 --> 00:55:03,640
Speaker 1: one of the that camera spacesuits they did emmaculate. I

1061
00:55:04,440 --> 00:55:07,880
Speaker 1: like that, like they just seem it's incredible to me

1062
00:55:08,200 --> 00:55:11,120
Speaker 1: that this creature has managed to survive this long. Like

1063
00:55:11,160 --> 00:55:14,200
Speaker 1: you said, they're blind and leading with their face to

1064
00:55:14,280 --> 00:55:17,080
Speaker 1: the extent that like they just look fucked up all

1065
00:55:17,120 --> 00:55:21,080
Speaker 1: the time. We have one in our yard and he's

1066
00:55:21,239 --> 00:55:24,879
Speaker 1: just watching him like waddle across the yard. It's just like,

1067
00:55:25,120 --> 00:55:27,200
Speaker 1: how's this thing ever gotten away from anything?

1068
00:55:27,320 --> 00:55:27,520
Speaker 2: Ever?

1069
00:55:27,760 --> 00:55:28,000
Speaker 3: Right?

1070
00:55:28,200 --> 00:55:31,279
Speaker 1: And I guess the answer is like by playing dead,

1071
00:55:31,680 --> 00:55:35,359
Speaker 1: which again is my response, is my trauma response. So

1072
00:55:35,480 --> 00:55:38,640
Speaker 1: I admire it. It just doesn't always work so well

1073
00:55:38,680 --> 00:55:42,000
Speaker 1: for me. But apparently the possuma is out here surviving,

1074
00:55:42,360 --> 00:55:45,800
Speaker 1: and another way that they're surviving is by making friends.

1075
00:55:46,239 --> 00:55:48,359
Speaker 1: So everyone was like, yeah, I mean, an ocelot would

1076
00:55:48,360 --> 00:55:53,640
Speaker 1: be the natural predator of a possum, and yet there

1077
00:55:53,680 --> 00:55:57,799
Speaker 1: are cameras, trail cameras in the Amazon rainforest who keep

1078
00:55:57,840 --> 00:56:03,719
Speaker 1: capturing oslot possum like Buddy Cup duo pairings just like

1079
00:56:05,160 --> 00:56:06,080
Speaker 1: paling around.

1080
00:56:06,680 --> 00:56:09,920
Speaker 4: Wait a minute, I'm looking into this. I'm doing some research.

1081
00:56:10,800 --> 00:56:12,160
Speaker 2: I can play a video here.

1082
00:56:13,520 --> 00:56:17,560
Speaker 1: Are cool as fun they are. They're like spotted jungle cats.

1083
00:56:17,600 --> 00:56:20,400
Speaker 2: It's cool because like the possum. In my mind, I'm like,

1084
00:56:20,440 --> 00:56:23,239
Speaker 2: maybe the possum would trail the oscelot. But the possums like,

1085
00:56:23,280 --> 00:56:27,640
Speaker 2: come on, man, we're going over here. What do we

1086
00:56:27,680 --> 00:56:29,279
Speaker 2: get into? Hey, let's go on.

1087
00:56:29,320 --> 00:56:34,760
Speaker 4: This awesome can smell stuff that maybe the oslot doesn't.

1088
00:56:35,040 --> 00:56:39,160
Speaker 1: So one of the theories is that the possum is

1089
00:56:39,280 --> 00:56:44,560
Speaker 1: using the oslos scent to hide themselves from large predators,

1090
00:56:45,160 --> 00:56:47,359
Speaker 1: so like a chemical camouflage.

1091
00:56:47,760 --> 00:56:49,640
Speaker 2: So then a beard if you will.

1092
00:56:49,760 --> 00:56:54,920
Speaker 1: Right, that doesn't really make sense because the osla would

1093
00:56:54,960 --> 00:56:57,040
Speaker 1: be one of the pretors.

1094
00:57:00,160 --> 00:57:01,080
Speaker 2: So as for.

1095
00:57:01,120 --> 00:57:03,600
Speaker 1: What the osclat is getting out of the relationship, there's

1096
00:57:03,600 --> 00:57:07,160
Speaker 1: a theory that the possums are resistant to snake venom,

1097
00:57:07,719 --> 00:57:10,840
Speaker 1: which the oscelot is not. So if the osclod is

1098
00:57:10,920 --> 00:57:14,600
Speaker 1: like a lead blocker for snakes, where like a snake

1099
00:57:15,080 --> 00:57:19,400
Speaker 1: gets them and then they're just like fuck out of here.

1100
00:57:19,520 --> 00:57:23,320
Speaker 2: Oh, the possum is the lead blocker. The possum is

1101
00:57:23,400 --> 00:57:24,720
Speaker 2: resistant to snake venom.

1102
00:57:26,480 --> 00:57:29,640
Speaker 1: Yeah, so he's there in you know, this is the

1103
00:57:29,680 --> 00:57:34,120
Speaker 1: fucking Amazon rainforest, so obviously there are a lot of

1104
00:57:34,200 --> 00:57:39,240
Speaker 1: snakes that will kill you dead. And the Osla is

1105
00:57:39,400 --> 00:57:43,320
Speaker 1: just out here kind of laying back as the possum

1106
00:57:43,360 --> 00:57:46,360
Speaker 1: gets bit and then they're like, okay, don't go that direction.

1107
00:57:47,040 --> 00:57:51,080
Speaker 2: Hey you good? You good O. The fucker bit me

1108
00:57:51,160 --> 00:57:53,480
Speaker 2: right in my jugular. Yeah, I'm all right, all right,

1109
00:57:53,560 --> 00:57:55,320
Speaker 2: let's go over here. Let's see if something over here. Man,

1110
00:57:55,880 --> 00:57:58,640
Speaker 2: I like, so the oscilot might be using the pop really,

1111
00:57:58,840 --> 00:58:00,400
Speaker 2: it's like, yeah, motherfucker.

1112
00:58:00,320 --> 00:58:02,520
Speaker 4: So the possum is an abusive relationship.

1113
00:58:03,200 --> 00:58:03,920
Speaker 5: That's in.

1114
00:58:04,720 --> 00:58:05,560
Speaker 2: That's what it's like.

1115
00:58:05,840 --> 00:58:10,640
Speaker 1: That is the way that humans always interpret animal anything.

1116
00:58:10,920 --> 00:58:14,160
Speaker 1: Is like okay, it's like they're just using each other

1117
00:58:14,200 --> 00:58:19,200
Speaker 1: as tools. But also like I've seen enough videos where like,

1118
00:58:19,440 --> 00:58:22,560
Speaker 1: you know, a family happens to have a dog, like

1119
00:58:22,640 --> 00:58:26,520
Speaker 1: a big dog and a tiny kitten, and like the

1120
00:58:26,560 --> 00:58:29,720
Speaker 1: big dog like loves the kitten. Like is that because

1121
00:58:29,720 --> 00:58:31,960
Speaker 1: it like thinks it can use the kitten as like

1122
00:58:32,800 --> 00:58:35,960
Speaker 1: a bear bear bait or something like. It's just like no,

1123
00:58:36,080 --> 00:58:38,760
Speaker 1: it's just like animals are like can be like sweet

1124
00:58:38,800 --> 00:58:40,240
Speaker 1: to one another every once in a while.

1125
00:58:40,640 --> 00:58:45,360
Speaker 4: Man, what concept, Jack, that's you should write a children's book, Jack,

1126
00:58:45,520 --> 00:58:46,600
Speaker 4: about animals can.

1127
00:58:46,480 --> 00:58:47,439
Speaker 2: Be sweet to one another.

1128
00:58:47,680 --> 00:58:49,680
Speaker 4: Yes, animals can be sweet to one another.

1129
00:58:50,280 --> 00:58:52,560
Speaker 2: Yeah maybe Yeah, that'll help as a metaphor that like

1130
00:58:52,640 --> 00:58:55,560
Speaker 2: humans are like we're not We don't have to be transactional.

1131
00:58:55,600 --> 00:58:57,520
Speaker 2: We can just kind of deal with people and enjoy.

1132
00:58:57,520 --> 00:59:00,800
Speaker 2: It's true, but like, I think it's fine. Yeah.

1133
00:59:00,840 --> 00:59:03,520
Speaker 1: The fact that we can't even look at nature without

1134
00:59:03,560 --> 00:59:06,480
Speaker 1: being like, how how are they making wine go up

1135
00:59:06,520 --> 00:59:10,120
Speaker 1: on their about their capacity for survival.

1136
00:59:09,920 --> 00:59:13,240
Speaker 2: Is like what the fuck? I don't know. Maybe they're

1137
00:59:13,280 --> 00:59:14,360
Speaker 2: embracing AI to.

1138
00:59:14,320 --> 00:59:18,400
Speaker 1: Do more in your mind, to like another possibility where

1139
00:59:18,440 --> 00:59:18,920
Speaker 1: people are.

1140
00:59:20,440 --> 00:59:23,040
Speaker 2: Nice. I was like, maybe this is I'm glad they

1141
00:59:23,080 --> 00:59:26,520
Speaker 2: have multiple examples rather than like just this one, because

1142
00:59:26,800 --> 00:59:28,920
Speaker 2: it would be funny if to like, yeah, actually the

1143
00:59:29,040 --> 00:59:31,680
Speaker 2: ocelot was playing the long game with that motherfucker man

1144
00:59:32,520 --> 00:59:33,560
Speaker 2: they yeah, fuck out of him.

1145
00:59:33,600 --> 00:59:37,600
Speaker 4: I've got the maybe defends his the possums babies. I'm

1146
00:59:37,760 --> 00:59:39,200
Speaker 4: just gonna say that.

1147
00:59:38,760 --> 00:59:39,720
Speaker 2: That would be adorable.

1148
00:59:40,320 --> 00:59:43,400
Speaker 1: There's like even video where like then I'm sure the

1149
00:59:43,400 --> 00:59:46,120
Speaker 1: scientists were like, all right, finally the jig is up,

1150
00:59:46,160 --> 00:59:48,880
Speaker 1: where like the oslot is like batting at the possum,

1151
00:59:49,240 --> 00:59:52,920
Speaker 1: But then the possum bat's back and they're like clearly playing.

1152
00:59:53,800 --> 00:59:56,640
Speaker 4: My dogs. Are you know? This makes me think of

1153
00:59:56,680 --> 00:59:59,320
Speaker 4: my dogs, who are deathly afraid of any dog that

1154
00:59:59,440 --> 01:00:01,080
Speaker 4: is like they're very are you aware of their size?

1155
01:00:01,080 --> 01:00:03,240
Speaker 4: And any dog that is like slightly bigger of them,

1156
01:00:03,240 --> 01:00:06,200
Speaker 4: they're afraid of it. I'm always trying to convince them

1157
01:00:06,240 --> 01:00:09,600
Speaker 4: to make friends, because like this is an example. You

1158
01:00:09,640 --> 01:00:13,520
Speaker 4: want big friends out there in the jungle, you know,

1159
01:00:14,880 --> 01:00:15,800
Speaker 4: so I.

1160
01:00:16,160 --> 01:00:17,040
Speaker 2: Do just play dead.

1161
01:00:18,440 --> 01:00:20,120
Speaker 1: I wonder if that's how it happened, is like the

1162
01:00:20,240 --> 01:00:22,840
Speaker 1: possum like play dead, and I was like, come on too,

1163
01:00:23,240 --> 01:00:23,520
Speaker 1: like A.

1164
01:00:23,720 --> 01:00:25,840
Speaker 4: Right, you're not I love that.

1165
01:00:26,080 --> 01:00:28,680
Speaker 1: I would love that, but you you actually look kind

1166
01:00:28,720 --> 01:00:30,520
Speaker 1: of nasty to me. I'm not trying to.

1167
01:00:32,640 --> 01:00:33,400
Speaker 2: A writer.

1168
01:00:33,600 --> 01:00:37,080
Speaker 1: Katie Golden pointed out that this might actually just be

1169
01:00:37,200 --> 01:00:42,520
Speaker 1: viral marketing for Zootopia Too Oh God, comedy in which

1170
01:00:43,880 --> 01:00:45,760
Speaker 1: team up to solve racism.

1171
01:00:46,280 --> 01:00:48,440
Speaker 4: Genius call writer.

1172
01:00:49,240 --> 01:00:51,160
Speaker 2: They could be Yeah, they could be.

1173
01:00:51,160 --> 01:00:52,440
Speaker 4: That new trailer just dropped.

1174
01:00:52,760 --> 01:00:55,160
Speaker 2: Yeah, I've been listening too much d m X that

1175
01:00:55,200 --> 01:00:57,200
Speaker 2: when you kept saying my dogs, my dog is like

1176
01:00:57,280 --> 01:00:59,960
Speaker 2: my dogs is with it? You wanted to get it

1177
01:01:02,600 --> 01:01:04,439
Speaker 2: come and get it. And I was like, Okay, never mind,

1178
01:01:04,480 --> 01:01:06,560
Speaker 2: we're not doing a rough rider's amplem roughen here.

1179
01:01:07,280 --> 01:01:11,960
Speaker 1: All right, that's gonna do it for this week's weekly Zeitgeist.

1180
01:01:12,040 --> 01:01:15,520
Speaker 1: Please like and review the show if you like, The

1181
01:01:15,600 --> 01:01:20,840
Speaker 1: show means the world of Miles He he needs your validation. Folks.

1182
01:01:21,440 --> 01:01:24,520
Speaker 1: I hope you're having a great weekend and I will

1183
01:01:24,520 --> 01:02:12,240
Speaker 1: talk to you Monday. Bye.