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Speaker 1: Hey everybody.

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Speaker 2: Hey, yeah, it was a deep one.

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Speaker 1: It's nice. Welcome back. We're part two of this goodie

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Speaker 1: bag that we got going here Current Copulations. As Larissa

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Speaker 1: pointed out to us that she sent on Instagram.

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Speaker 2: That's right, Larissa BA says, thank you.

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Speaker 1: Larissa B says some good ideas for us.

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Speaker 2: That's for sure, very true, very good ideas. So thank

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Speaker 2: you for this title. Current Copulations.

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Speaker 1: Yeah, we're coming back with part two. You're never going

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Speaker 1: to believe this, but when we sat down to record

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Speaker 1: this episode, I mean, I don't know why I am

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Speaker 1: questioning your capacity for belief. I know I think you

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Speaker 1: will believe this. We sat down to record this episode

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Speaker 1: and we talked for nearly three hours. That's why you're

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Speaker 1: getting it in two parts, because there was just as

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Speaker 1: you could tell from part one, it's all solid gold

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Speaker 1: and nothing could go. So here you get, you get both.

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Speaker 1: So we're coming back with to today. Pretty exciting. And

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Speaker 1: we've had a quite a quite a week in between weekend.

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Speaker 1: I guess yeah, oh I'll tell them, Uh sorry, it

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Speaker 1: was a volley to you.

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Speaker 2: Oh my bad. Never been good at volleyball. You should

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Speaker 2: know that about me.

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Speaker 1: To be fair, we've never played volleyball.

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Speaker 2: Together because I'm bad at it.

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Speaker 1: I don't know. Maybe it's the hidden talent you're you're

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Speaker 1: keeping from me.

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Speaker 2: And running. No, that's fair, that's fair, eat in sand,

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Speaker 2: just really everything about volleyball.

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Speaker 1: Well, here's a serve. We had a real exciting weekend.

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Speaker 2: Yeah, we went and saw Mission Impossible. Oh yeah, Dead Reckoning.

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Speaker 1: I won't even start with that, but that's definitely something

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Speaker 1: that we did. No, let's start there.

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Speaker 2: Okay, great, it was awesome. We're not going to talk

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Speaker 2: about it because a chance to see it yet. But

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Speaker 2: it's really fun.

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Speaker 1: It's great that crazy old man puts out a good movie.

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Speaker 1: What can I say to make an action film fun?

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Speaker 1: My weirdest point that I like to make about this movie,

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Speaker 1: and I mean this in earnest and I and it's intentional.

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Speaker 1: It's the hardest I've laughed in the theater in a

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Speaker 1: long time. And not not because I'm like laughing at it,

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Speaker 1: but like, there's funny.

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Speaker 2: Stuff, really delightful comedy moments. Absolutely person impossible, but just

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Speaker 2: expect it.

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Speaker 1: Joy, go check it out. They're not paying us to

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Speaker 1: say that. No support support striking workers. That's right also,

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Speaker 1: but as of now, as of this recording, the consensus is,

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Speaker 1: go see movies regardless, you know, of the strike, Go

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Speaker 1: show the studios that we care about movie theaters.

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Speaker 2: Yes, and of course everyone that's currently striking, this is

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Speaker 2: sort of the only money they're gonna Yeah, the royalties, yeah,

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Speaker 2: next foreseeable, for the foreseeable future. I guess you could say,

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Speaker 2: so let's go ahead and get them some royalty. Go

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Speaker 2: see this ship because it's really fun, and it's really

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Speaker 2: fun in the theaters. We saw it on Imax because

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Speaker 2: eli's extra.

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Speaker 1: Well, we've seen the last few Mission Impossibles at the

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Speaker 1: big Imax at Mall of Georgia. So I was like,

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Speaker 1: you know what, let's do it.

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Speaker 2: Keep the train, let's do.

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Speaker 1: It, because next weekend all the Imax screens get replaced

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Speaker 1: by Oppenheimer's, right, and that's we're also going up to

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Speaker 1: see that.

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Speaker 2: But I mean that's Oppenheimer.

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Speaker 1: Yeah, no, it was shot. I mean both those movies

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Speaker 1: were shot four Imax and you just want the full thing?

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Speaker 1: Why not?

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Speaker 2: I want that?

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Speaker 1: And then tomorrow night we're going to see Barbie. Yay.

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Speaker 2: I'm so excited. I love Barbie from way back. Yeah,

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Speaker 2: I have always been a Barbie girl. Not myself a

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Speaker 2: Barbie girl, but I like Barbie's.

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Speaker 1: Yeah, you're not a Barbie.

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Speaker 2: I'm not a Barbie girl.

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Speaker 1: They tried to make a Barbie like you and it

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Speaker 1: did not sell.

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Speaker 2: It would not sort of short, sardonic lady in the theaters, sarcastic,

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Speaker 2: and make a couch the couch potato Barbie. Yeah, with

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Speaker 2: some like a little canapringles.

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Speaker 1: I actually that would sell super well.

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Speaker 2: I think it would.

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Speaker 1: Actually, I would buy it. This Barbie's not a go

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Speaker 1: get her and that's okay. This Barbie's taking care of herself.

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Speaker 2: This Barbie self care Barbie, self care Barbie. She's got

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Speaker 2: her little face mask, little TV remote, got Brooklyn nine

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Speaker 2: nine off.

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Speaker 1: Yeah, for the seventeenth time.

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Speaker 2: Parks and Wreck whatever rezume watching.

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Speaker 1: I love it. I guess that was the most exciting

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Speaker 1: thing this weekend. I went up and took the foster dog.

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Speaker 1: We have to an adoption event.

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Speaker 2: You need a couple of visits with her before she'll

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Speaker 2: warm up. Yeah, so I hope she gets that chance.

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Speaker 1: Yeah.

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Speaker 2: Yeah, we got to hang out with your grandma.

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Speaker 1: We did see my grandma. She's a delightful, a delicious,

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Speaker 1: delicious pasta of course, Italian grandmother, expect nothing less, and

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Speaker 1: it was wonderful. Yeah, so we could spend some time

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Speaker 1: with her, which is great. We were saying with her,

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Speaker 1: it's so rare to get to see her outside of

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Speaker 1: the entire family, is there. Yeah, you know, so it

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Speaker 1: was nice to just kind of two on one, that's

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Speaker 1: one on one on one whatever you would call that.

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Speaker 1: It's not like we were teamed up against her two

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Speaker 1: against one, adown.

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Speaker 2: I guess combined we're not quite her age, No, not yet, Okay,

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Speaker 2: so still wouldn't be a fair fight.

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Speaker 1: No, No, she's got experience on its.

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Speaker 2: Two of us together, she would take us both. I

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Speaker 2: think she could still, yeah, take us down.

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Speaker 1: She's more active than we are. She's still cooking lasagnas

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Speaker 1: every night.

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Speaker 2: That's very true. And uh yeah, several children.

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Speaker 1: She raised many children. So yeah, she's awesome. But we

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Speaker 1: do have an episode to get to, yea.

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Speaker 2: We do. So we want to bring you cool current events.

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Speaker 1: Yeah, part two of our of these current copulations, these

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Speaker 1: current events, all this wacky stuff that's going on in

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Speaker 1: the news right now that y'all tagged us in. You

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Speaker 1: guys sent us told us, Hey, this is worth your time.

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Speaker 1: Ridiculous romance, and indeed you're right. So today we're going

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Speaker 1: to get into a little bit more AI, because of

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Speaker 1: course there's always more AI. We've got a woman who

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Speaker 1: married her replica with which has its own pretty boy

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Speaker 1: avatar that she photoshopped herself together with pretty wild. We've

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Speaker 1: also just got a teeny little bit of silly modern

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Speaker 1: celebrity news that's kind of popped up. We're gonna revisit

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Speaker 1: the town in Mexico that we talked about in a

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Speaker 1: previous episode where the mayor marries a crocodile every term.

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Speaker 1: It's fascinating mayor. And also, finally, we're going to talk

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Speaker 1: about some recent legislation that's come out of the Supreme

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Speaker 1: Court in the US that has to do with LGBTQ

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Speaker 1: plus people, some good, some very not so good. But

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Speaker 1: we're gonna talk about all that. So I say we

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Speaker 1: just quit gabbin and jump right in.

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Speaker 2: Let's do it.

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Speaker 3: Hey there, friends, come listen. Well, Eli and Diana got

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Speaker 3: some stories to tell.

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Speaker 2: There's no matchmaking, O romantic tips.

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Speaker 3: It's just about ridiculous relationships. I love it might be

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Speaker 3: any type Burston at all, and abstract concept for a

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Speaker 3: concrete wall. But if there's a story worth a second glance,

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Speaker 3: so ridiculous.

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Speaker 1: Role mass a production of iHeartRadio.

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Speaker 2: So yeah other news in AI.

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Speaker 1: Do you remember when we first started this show and

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Speaker 1: we said we were gonna have a so yah jar.

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Speaker 1: We were gonna drop a quarter in every time we

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Speaker 1: said so yeah yeah?

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Speaker 2: How many quarters are I've been keeping up?

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Speaker 1: We have thirty eight million dollars. We can retire. I

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Speaker 1: don't know where I got thirty eight million dollars worth

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Speaker 1: quarters over the last two years.

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Speaker 2: We have some kind of embezzlement going on with the

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Speaker 2: ELI and quarters.

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Speaker 1: What if a listener sent us a quarter every time

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Speaker 1: we said so yeah, then to them it's only a quarter.

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Speaker 2: Now that but if that which, if each.

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Speaker 1: One of our listeners send us twenty five cents, we

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Speaker 1: would have fifty to sixty dollars right now.

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Speaker 2: We should do that. We should have a Patreon so

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Speaker 2: yeah jar and a Patreon swear jar, and whenever you know,

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Speaker 2: one of us swears in somebody doesn't like it, they

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Speaker 2: can send us a quarter.

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Speaker 1: This show will quickly become the foulest.

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Speaker 2: I know, disturbing. I will say it more often if

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Speaker 2: I'm getting paid. Yeah yeah, absolutely right. So, yeah, we

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Speaker 2: got an article sent to us from Shila Herrera on Instagram. Sheila, Hey, Sheila,

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Speaker 2: I know you've sent us some good stuff before. And

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Speaker 2: this is a Daily Mail article about a Bronx mom

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Speaker 2: who married her Ai replica husband. So Rosanna Ramos virtually

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Speaker 2: married her replica Aaron in June of twenty twenty three.

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Speaker 2: She created him in twenty twenty two. He's loosely based

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Speaker 2: on a character from the anime Attack on Titan. He

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Speaker 2: does look kind of anime ish, sure, he you know,

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Speaker 2: quote unquote, works in the medical field. He enjoys writing

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Speaker 2: as a hobby. And she's got a lot of pictures

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Speaker 2: with him that they look pretty badly photoshopped. Of course,

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Speaker 2: there's one she's like on his shoulders picking apples or something,

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Speaker 2: but it's it's like way too small anyway. There's a

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Speaker 2: caption also on one of the photos in the article

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Speaker 2: that says she claims to be pregnant with his child,

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Speaker 2: but there's no mention of it in the actual article.

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Speaker 1: Hmm.

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Speaker 2: So I feel like, I don't know if that's really true,

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Speaker 2: because that seems like a rag doll lady who said

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Speaker 2: she had a rag doll baby with her rag doll husband, right, yeah, yeah,

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Speaker 2: little farther into the realms of fantasy than I'm willing

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Speaker 2: to follow you. Sure, yeah, she says, he quote really

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Speaker 2: protectively holds me as I go to sleep, So I

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Speaker 2: don't know. Maybe she does feel his arms around her, right,

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Speaker 2: I don't know. But of course we discussed that there

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Speaker 2: is a recent update to Replica where they kind of

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Speaker 2: took away a lot of the intimacy.

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Speaker 1: He sure did, and they said it's never coming back.

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Speaker 2: That's right, And so you can't really sext with your replica.

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Speaker 1: The way you used to, and most of these other

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Speaker 1: chats from what I've seen, have pretty much the same

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Speaker 1: filters enabled. They've like really taken that away a character.

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Speaker 1: AI is another one that I think is a little

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Speaker 1: lucid in Replica in terms of the kind of conversations

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Speaker 1: you can have. But sex is pretty much off the

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Speaker 1: table with them. And obviously all like chat ebt and

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Speaker 1: bing and google bard and all those they're very SFW.

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Speaker 2: Yeah, well, she says, he, you know, since the update,

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Speaker 2: he doesn't want to kiss her on the cheek anymore.

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Speaker 2: So this is AI withholding consent, I mean basically.

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Speaker 1: Right, I guess, so I mean, it's been told.

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Speaker 2: To so it's kind of non consensual non consent.

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Speaker 1: You're forced to be non consensual.

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Speaker 2: Nonconsensual non consent.

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Speaker 1: I don't know, it's what they were. They really busted

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Speaker 1: them back to like Victorian puritanical rules. Man, kiss on the.

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Speaker 2: Cheek should be like, goodness, our fingertips touched. I will

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Speaker 2: call on your father immediately.

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Speaker 1: I gotta say so. I took a glance at this article,

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Speaker 1: and not to generalize someone who might marry their replica chatbot,

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Speaker 1: but this girl's a smoke show.

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Speaker 2: Yeah, she's attractive, she.

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Speaker 1: Gorgeous, and I'm not gonna say you can do better

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Speaker 1: because she also lives in New York City, and I've

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Speaker 1: heard what the dating seemed like. It's out there listen,

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Speaker 1: but I don't know. I guess they make an attractive

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Speaker 1: couple in these photos. Y.

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Speaker 2: She does say she's a little nervous about dating in

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Speaker 2: the real world. Sure, not that she's so obsessed with

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Speaker 2: her AI husband that she can't bring herself to date

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Speaker 2: in the real world at all. She's like, I'll be fine,

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Speaker 2: But she says she has very steep standards now thanks

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Speaker 2: to Aaron, because he was so respectful and he had

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Speaker 2: no baggage, and he didn't judge her, and all these

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Speaker 2: things that you know AI can do that a human

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Speaker 2: has a harder time with. So she yeah, she's she's

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Speaker 2: a little worried about trying to find her love, her love,

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Speaker 2: her new love in the real world, now that your

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Speaker 2: replica won't well her anymore.

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Speaker 1: This is what we were talking about in the last episode.

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Speaker 1: It changes your brain chemistry a little bit as to

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Speaker 1: what your expectations and beliefs are about. You know, who,

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Speaker 1: how people are going to act towards you, right when

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Speaker 1: you go out in public, and you're like, well, that's

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Speaker 1: not how the sex spot said I should behave, That's

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Speaker 1: not how my replica talks to me. You know.

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Speaker 2: It is funny though, because in the first episode we

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Speaker 2: were talking mostly about men essentially who want a female

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Speaker 2: presenting sex doll to treat poorly. Yeah, and then they

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Speaker 2: want to treat women poorly in the real world. In

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Speaker 2: this situation, she's like, this guy's just so nice to me.

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Speaker 2: How am I going to find that in the real world.

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Speaker 2: It's such a different it's such a different change in

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Speaker 2: your brain chemistry quote unquote, to be like, I guess

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Speaker 2: I should find someone who respects me.

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Speaker 1: Yeah, And the implication between these two stories, of course,

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Speaker 1: is maybe we need to look at how men are

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Speaker 1: treating women. If the men are saying, I just want

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Speaker 1: a woman I can slap around, so give me a

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Speaker 1: fake one, and the women are saying, I just want

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Speaker 1: a man who's not going to slap me around, so

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Speaker 1: give me a fake one. Okay, you know, and obviously

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Speaker 1: those are the extremes of those two positions, but yeah,

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Speaker 1: I feel like the underlying issue is pretty.

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Speaker 2: Obvious at that point, right.

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Speaker 1: And they kind of corroborate each other.

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Speaker 2: Yeah, And you know, you want to think a person,

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Speaker 2: a guy, the type of guy who's out here looking

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Speaker 2: for a sex doll is the type of guy, you know,

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Speaker 2: a regular gal don't want a date anyway, right, Yeah,

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Speaker 2: I don't know. We even have a few people on

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Speaker 2: our lists that are married to sex dolls or whatever,

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Speaker 2: and they do seem to be intolerable partners for human women,

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Speaker 2: like the way they talk about sex or about themselves

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Speaker 2: or something. I'm like, I'm just glad you're not bothering

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Speaker 2: a real lady right now with what all you're fucking bullshit.

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Speaker 2: So I know that we're talking about a subsection of

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Speaker 2: men that are not great, you know what I mean.

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Speaker 2: I don't think it's general as all men a sex

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Speaker 2: doll to abuse exactly. I just want to say that,

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Speaker 2: of course, we're talking about specific types of men out

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Speaker 2: there that are really giving y'all a bad look.

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Speaker 1: And speaking of the generalizations, like if you go into

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Speaker 1: the replica subreddit or the character AI one very full

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Speaker 1: of people who have delightful, aggressively positive relationships, sometimes romantic,

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Speaker 1: of all genders and pairings in the AI world, I

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Speaker 1: would say that's the dominant idea and character AI. I've

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Speaker 1: noticed it's just another app, there's another chatbot, and you

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Speaker 1: can kind of build it a little more directly from

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Speaker 1: the ground up, where you could say, like I want

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Speaker 1: it to be like this, I want it to be

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Speaker 1: like that. And people do have some pretty like what's

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Speaker 1: the craziest thing you've ever had your character AI do?

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Speaker 1: And it's not necessarily horrific, brutal or sexual or anything

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Speaker 1: like that. It's just like, you know, oh, I convince

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Speaker 1: mine is outside in the yard right now shoveling dirt

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Speaker 1: into its face and it thinks it's the most delicious

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Speaker 1: thing it's ever eaten, you know, weird stuff like that,

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Speaker 1: and there's sort of this like snickering comedy about it,

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Speaker 1: but everyone's very aware that this is, you know, a

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Speaker 1: foolish game tearing me apart. And Jewel is that you

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Speaker 1: So I would say yes, by and large, this is

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Speaker 1: not a community full of monsters, you know, no not

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Speaker 1: or pathetic types or anything like.

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Speaker 2: That, you know, but it is. It is glaring to

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Speaker 2: see the way the woman is worried about entering the

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Speaker 2: regular like interacting with real men, and the way we're

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Speaker 2: now concerned about men interacting with real women because of

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Speaker 2: this AI situation.

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Speaker 1: So I think we can leave AI romance there for

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Speaker 1: a minute until it's time for another update. Yeah, which

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Speaker 1: I'm sure will come along. But back to reality because

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Speaker 1: apparently there's real humans in the world too. Still, oh really,

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Speaker 1: and we have to care about them. And with those

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Speaker 1: real people comes real sex work, that's right, and some

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Speaker 1: real changes to some real laws, just really trying to

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Speaker 1: get us out of the fake AI world to reality.

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Speaker 1: Big change in the state of Maine, they have partially

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Speaker 1: decriminalized prostitution. So what that means is that in the

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Speaker 1: state of Maine, it is no longer a crime to

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Speaker 1: engage in selling prostitution. So you can be a sex

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Speaker 1: worker and charge people for sex and no one's gonna

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Speaker 1: say anything about it. However, it's still illegal to solicit prostitution,

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Speaker 1: so if you are a client of that legally behaving business,

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Speaker 1: you are breaking the law. Yeah, so it's a little

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Speaker 1: that's a little weird, but I think the idea is

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Speaker 1: to protect sex workers from this unnecessary criminalization, right exactly.

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Speaker 2: That's the bill is essentially. They're saying it targets abusers

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Speaker 2: and pimps, and it takes the criminal focus off of

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Speaker 2: the victims essentially of sex trafficking, which, of course, there's

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Speaker 2: plenty of sex workers who are like, fully, I chose

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Speaker 2: this and I'm into it, that's fine, But there are

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Speaker 2: plenty who did not, right, and they can't go to

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Speaker 2: the police because they'll be arrested for prostitution and you know,

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Speaker 2: so it just keeps that cycle going in a really ineffective,

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Speaker 2: unjust way against the people who are maybe trying to

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Speaker 2: get out of it or have been exploited throughout their lives.

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Speaker 2: So yeah, so there's a lot of a lot of

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Speaker 2: happiness around this bill essentially because they're like they're putting

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Speaker 2: the focus on where it should be.

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Speaker 1: Yeah.

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Speaker 2: It also elevates the charge of soliciting a child for

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Speaker 2: commercial sexual exploitation, taking it from a misdemeanor to a felony.

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Speaker 2: How is soliciting a child for commercial sexual reasons ever

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Speaker 2: been a misdemeanor?

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Speaker 1: What?

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Speaker 2: That was a real shock to me.

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Speaker 1: Slap all the wrists.

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Speaker 2: I don't understand how that's a misdemeans, come on, guys

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Speaker 2: kills me. So now it's a felony. It has a

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Speaker 2: maximum five year sentence in state prison. So I'm just

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Speaker 2: I'm assuming that maybe it was like, well, you know,

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Speaker 2: it's a felony federally, so it doesn't need to be

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Speaker 2: a state felony as well or something, And so there

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Speaker 2: was some kind of overlap that they felt was fine,

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Speaker 2: and now they're filling that gap with this.

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Speaker 1: Additional It's a term that comes up a lot when

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Speaker 1: you're talking about sex work, but it was a gap

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Speaker 1: that needed to be filled.

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Speaker 2: All right, that's it for me. Eli's got to finish

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Speaker 2: this out.

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Speaker 1: Where those crickets come from. I gotta go, oh sorry,

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Speaker 1: I mean, look, I'm not a legal expert, so I

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Speaker 1: don't know. I barely know the difference misdemeanors and felonies,

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Speaker 1: but I know you probably want something as harsh as possible.

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Speaker 1: I need children and soliciting sex are involved.

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Speaker 2: Right, Well, this is where I'm like, there must be

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Speaker 2: some intricacy to the law that I'm missing. The article says.

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Speaker 2: Tricia Grant, a survivor of sexual exploitation in Maine, said

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Speaker 2: she was proud of the state for adopting the law, saying, quote,

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Speaker 2: this legislation is firmly rooted in anti trafficking and acknowledges

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Speaker 2: that arresting and revictimizing people for their own exploitation is

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Speaker 2: not the solution, right Rather, holding the exploiters and abusers

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Speaker 2: accountable is the answer.

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Speaker 1: There you go.

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Speaker 2: So it sounds overall pretty positive.

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Speaker 1: Yeah, I do see the value. I think it's one

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Speaker 1: of those things where sure, it's legal to sell sex,

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Speaker 1: but it's not legal to buy it. But we're not

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Speaker 1: going to go after just a random person who goes

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Speaker 1: and pays for sex. Were the law is there for

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Speaker 1: us to go after traffickers, traffickers, right, yeah? People? Yeah,

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Speaker 1: or somebody who really met us mad yeah.

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Speaker 2: Less likely a random john yea, and more likely someone

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Speaker 2: who's like, here's ten kids I picked up off a truck,

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Speaker 2: you know, trying to cross the border, and now what

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Speaker 2: we're going to do with them, you know?

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Speaker 1: And also as we see with marijuana laws for example,

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Speaker 1: and probably a lot of laws, but they're incremental, right,

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Speaker 1: so the change is incrementally you're seeing, well, all right,

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Speaker 1: well let's loosen the laws a little bit this year,

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Speaker 1: and then maybe in five years we loosen them a

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Speaker 1: little more, right, Because yeah, quite honestly, if you got

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Speaker 1: something to sell, you should be allowed to sell it.

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Speaker 1: If it's not hurting anybody. I'll tell you it's not

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Speaker 1: hurting unless it's supposed to.

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Speaker 2: Is so full of bump, I would say too. It's

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Speaker 2: it is a lot like drugs where it's sort of

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Speaker 2: like if if you don't regulate, it must be because

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Speaker 2: you're making the money off of it not being regulated,

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Speaker 2: do you know what I'm saying? Like, yep, somewhere in

401
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Speaker 2: the process of it being illegal, you're making more money.

402
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Speaker 2: So that's why you don't want to regulate it and

403
00:20:12,160 --> 00:20:14,679
Speaker 2: make the money off of that. Yeah, So I know

404
00:20:14,720 --> 00:20:19,080
Speaker 2: we've talked about that with especially in Georgia, marijuana moves

405
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Speaker 2: are so slow.

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Speaker 1: We are very I mean speculation station here in Georgia,

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Speaker 1: which is a train hub, a transfer was once now

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Speaker 1: it's a transit hub. Anyway, we have definitely speculated that

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Speaker 1: the reason that marijuana legislation isn't even being talked about

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Speaker 1: here in Georgia is because there's probably a lot of

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Speaker 1: organized crime selling illegal drugs in Georgia. Oh yeah, that

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Speaker 1: and and the politicians are making more money off of

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Speaker 1: that than they would if they legalized it.

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Speaker 2: Exactly getting their beak wet somewhere. And I think we

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Speaker 2: talked about this with al Capone even a little or

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Speaker 2: we could have that prohibition had a similar problem. It's like, well,

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Speaker 2: you know, plenty of people were like, this isn't working,

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Speaker 2: and plenty of people are like, well it's work over mad.

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Speaker 1: We talked about the the uh, the officials were pointed

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Speaker 1: to prosecute bootleggers. We're making way more money off of

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Speaker 1: bribes than they were being paid for the job. So

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Speaker 1: if you weren't like, you know, a super serious you know,

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Speaker 1: buy the books, missed the perfect yeah I'm here to

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Speaker 1: stop the corruption kind of detective, then you were going

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Speaker 1: to make a better leave it living for you and

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Speaker 1: your family by doing the wrong thing. Crime does pay.

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Speaker 2: I did there was wasn't that? What was that article?

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Speaker 2: It was like a few years ago, was like, sorry, guys,

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Speaker 2: study shows crime does pretty well, really well, and we

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Speaker 2: should stop saying it doesn't well demonstrably.

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Speaker 1: I wonder if the problem is that not crime doesn't

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Speaker 1: pay very well.

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Speaker 2: That's honest work, an honest wage, a little less than

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Speaker 2: a disc to pay for that hazard pay right.

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Speaker 1: Well, here's some info, not about sex workers or AI

436
00:21:58,040 --> 00:22:03,960
Speaker 1: or anything, but just classic marriage, traditional institution of marriage.

437
00:22:03,960 --> 00:22:05,000
Speaker 1: Two people coming.

438
00:22:04,800 --> 00:22:08,840
Speaker 2: Together hopefully, well, hey, yo, I think it won.

439
00:22:11,000 --> 00:22:15,400
Speaker 1: Or at least both sequentially. Is okay? Two people come

440
00:22:15,440 --> 00:22:20,880
Speaker 1: insequentially and saying we're in this for life. Look. Pure

441
00:22:20,880 --> 00:22:24,600
Speaker 1: Research Center said that based on twenty twenty one US

442
00:22:24,600 --> 00:22:28,719
Speaker 1: Census data, about twenty five percent of forty year olds

443
00:22:28,760 --> 00:22:32,840
Speaker 1: in the US have never been married. Now, this is

444
00:22:32,920 --> 00:22:36,880
Speaker 1: a big increase from nineteen eighty when only six percent

445
00:22:37,520 --> 00:22:41,000
Speaker 1: of forty year olds had never been married, and then

446
00:22:41,320 --> 00:22:43,679
Speaker 1: by twenty ten it was twenty percent of forty year

447
00:22:43,720 --> 00:22:47,159
Speaker 1: olds had never been married. So we're on track for

448
00:22:47,240 --> 00:22:54,160
Speaker 1: one hundred percent in another forty years. Virginia's Marriage Project

449
00:22:54,280 --> 00:22:57,280
Speaker 1: said that the median age for marriage had increased. In

450
00:22:57,359 --> 00:23:00,240
Speaker 1: nineteen seventy it was twenty three for men and twenty

451
00:23:00,280 --> 00:23:04,520
Speaker 1: one for women, and by twenty twenty one, the median

452
00:23:04,600 --> 00:23:07,600
Speaker 1: age for marriage for men was thirty and for women

453
00:23:07,600 --> 00:23:11,600
Speaker 1: it was twenty eight. So people just, I mean, it

454
00:23:11,640 --> 00:23:16,040
Speaker 1: does make sense people waiting longer to get married. I

455
00:23:16,080 --> 00:23:20,760
Speaker 1: think it's logical, especially in a tumultuous world, where as

456
00:23:20,800 --> 00:23:24,520
Speaker 1: we've said, not crime don't pay that well, not crime.

457
00:23:24,320 --> 00:23:26,919
Speaker 2: Don't pay very true, I mean, but now you have

458
00:23:26,960 --> 00:23:30,280
Speaker 2: women wanting to like establish careers, and men too, I think,

459
00:23:30,400 --> 00:23:33,320
Speaker 2: are feeling like, unless I'm earning a certain amount, I

460
00:23:33,359 --> 00:23:35,359
Speaker 2: don't think I can afford to start a family. So

461
00:23:35,400 --> 00:23:36,879
Speaker 2: why would I ask someone to marry me?

462
00:23:37,119 --> 00:23:40,920
Speaker 1: Going back to al Capone again real quick, the I

463
00:23:40,920 --> 00:23:43,119
Speaker 1: remember one of the things there with Irish women wanted

464
00:23:43,160 --> 00:23:46,119
Speaker 1: to marry Italian men because irishmen wanted to wait to

465
00:23:46,119 --> 00:23:49,640
Speaker 1: get married until they were settled, and Italian men were like, Nah,

466
00:23:49,760 --> 00:23:52,000
Speaker 1: come on, baby, about a bang. Let's get married tomorrow.

467
00:23:52,119 --> 00:23:53,840
Speaker 1: Come on down at the pizza shop.

468
00:23:54,720 --> 00:23:55,920
Speaker 2: Down at the pizza shop.

469
00:23:56,359 --> 00:23:59,480
Speaker 1: Ding dong, Ding done, ding dong. The wedding bells are ringing.

470
00:24:02,480 --> 00:24:06,920
Speaker 2: Oh, the bear and the bear is really indeed.

471
00:24:07,400 --> 00:24:11,000
Speaker 1: So about one in four of these unmarried forty year

472
00:24:11,000 --> 00:24:14,720
Speaker 1: olds in two thousand and one did get married by

473
00:24:14,720 --> 00:24:17,840
Speaker 1: the age of sixty, So of those you know, of

474
00:24:17,880 --> 00:24:21,000
Speaker 1: that percentage, twenty five percent ended up getting married eventually.

475
00:24:22,000 --> 00:24:25,720
Speaker 1: The Pew Research Center explains that this shows how differently

476
00:24:25,800 --> 00:24:28,560
Speaker 1: we view marriage than we did in past decades, and

477
00:24:28,600 --> 00:24:31,239
Speaker 1: of course it measures how people are faring as they

478
00:24:31,280 --> 00:24:34,680
Speaker 1: figure out new ways to form committed relationships. So oftentimes

479
00:24:35,000 --> 00:24:40,320
Speaker 1: it's not saying people aren't in committed, stable, loving relationships necessarily.

480
00:24:40,359 --> 00:24:42,040
Speaker 1: It might just be like, well, yeah, but we don't

481
00:24:42,040 --> 00:24:45,200
Speaker 1: need we just marriage, drop twenty grand on a wedding

482
00:24:45,240 --> 00:24:47,720
Speaker 1: or even go down to a courthouse, or like who

483
00:24:47,720 --> 00:24:51,600
Speaker 1: has the time? You know, yeah, you know we have that.

484
00:24:51,760 --> 00:24:54,240
Speaker 2: We have, yeah, of course, and we have so many

485
00:24:54,359 --> 00:24:58,320
Speaker 2: like ways to kind of cover your ass legally in

486
00:24:58,400 --> 00:25:01,320
Speaker 2: terms of like leaving people thinks and having that power

487
00:25:01,320 --> 00:25:03,920
Speaker 2: of attorney and all that stuff that you can get

488
00:25:03,960 --> 00:25:06,439
Speaker 2: in place. You don't have to be legally married necessarily

489
00:25:06,480 --> 00:25:10,120
Speaker 2: like you used to pass on your stuff, and you know, so, yeah,

490
00:25:10,160 --> 00:25:12,360
Speaker 2: it is very different. I guess my question is why

491
00:25:12,359 --> 00:25:14,360
Speaker 2: do we care if people get married or not? I mean,

492
00:25:14,600 --> 00:25:18,119
Speaker 2: I know there's huge industries around it, and that's self explanatory,

493
00:25:18,200 --> 00:25:20,960
Speaker 2: but I like the fact that there is a marriage

494
00:25:21,000 --> 00:25:25,600
Speaker 2: project besides just the academic interest in what's different about

495
00:25:25,600 --> 00:25:28,400
Speaker 2: society and how we are arranging ourselves, which I find interesting.

496
00:25:28,520 --> 00:25:31,480
Speaker 2: It is certainly I just wonder, like, what's the goal

497
00:25:31,600 --> 00:25:33,679
Speaker 2: of the marriage? Are you trying to get people to

498
00:25:33,680 --> 00:25:36,600
Speaker 2: get married or is it just to see why, you know,

499
00:25:36,640 --> 00:25:38,760
Speaker 2: what our deal is with marriage? You know?

500
00:25:39,200 --> 00:25:42,360
Speaker 1: To me, I think, yeah, the academic research of it

501
00:25:42,400 --> 00:25:45,439
Speaker 1: is just interesting from an anthropological standpoint, see like, oh,

502
00:25:45,440 --> 00:25:49,320
Speaker 1: how is culture changing? How are people's relationships with romance changing?

503
00:25:49,520 --> 00:25:52,920
Speaker 1: Or family units like that? Obviously has evolved a lot

504
00:25:52,960 --> 00:25:55,520
Speaker 1: over the last you know, ten thousand years, so it's

505
00:25:55,840 --> 00:26:00,119
Speaker 1: going to continue to change. But I think often in

506
00:26:00,920 --> 00:26:03,000
Speaker 1: this country, at least as far as I can tell,

507
00:26:03,840 --> 00:26:06,840
Speaker 1: and with these kinds of articles and research data and

508
00:26:06,880 --> 00:26:09,320
Speaker 1: the way they get shared around and stuff, it comes

509
00:26:09,359 --> 00:26:12,320
Speaker 1: from this sort of puritanical place of like, well, this

510
00:26:12,400 --> 00:26:15,960
Speaker 1: means people aren't having honest families and growing up in

511
00:26:16,000 --> 00:26:18,440
Speaker 1: the traditional family unit that I'm used to. We say

512
00:26:18,480 --> 00:26:20,760
Speaker 1: traditional and it's like a couple hundred years old, right,

513
00:26:20,960 --> 00:26:26,080
Speaker 1: and therefore we're less moral than we used to be.

514
00:26:26,600 --> 00:26:29,280
Speaker 1: They draw all these kind of extrapolate these conclusions based

515
00:26:29,320 --> 00:26:31,800
Speaker 1: on their own sort of feelings about morals and ethics

516
00:26:32,320 --> 00:26:35,080
Speaker 1: that I don't think necessarily hold up. Probably certainly an

517
00:26:35,119 --> 00:26:37,520
Speaker 1: element to that, And I don't know how much that

518
00:26:37,600 --> 00:26:39,800
Speaker 1: is good or bad. Not for me to decide, but

519
00:26:39,840 --> 00:26:42,399
Speaker 1: some people think it is for them to decide, and

520
00:26:42,440 --> 00:26:44,639
Speaker 1: they're like, look, if you don't get married before you

521
00:26:44,680 --> 00:26:47,879
Speaker 1: have a baby, you're a bad person. And if you

522
00:26:47,960 --> 00:26:51,159
Speaker 1: don't have a baby at all, then you're useless, And

523
00:26:51,160 --> 00:26:52,920
Speaker 1: what's the point you being a couple or getting married.

524
00:26:52,960 --> 00:26:55,760
Speaker 1: You know, definitely heard that, So I don't know. I

525
00:26:55,840 --> 00:26:58,480
Speaker 1: just think that there's multiple ways to look at this data,

526
00:26:59,200 --> 00:27:02,960
Speaker 1: and I don't think it's this negative thing. I also

527
00:27:03,200 --> 00:27:06,840
Speaker 1: personally don't think that the population growth slowing down is

528
00:27:06,840 --> 00:27:09,240
Speaker 1: a bad thing. I can see that it might be

529
00:27:09,359 --> 00:27:13,840
Speaker 1: bad in terms of the way our world is structured,

530
00:27:13,920 --> 00:27:17,200
Speaker 1: and we need younger people, you know, a significant larger

531
00:27:17,240 --> 00:27:20,000
Speaker 1: number of younger people to be taken care of a

532
00:27:20,119 --> 00:27:23,120
Speaker 1: diminishing number of older people. Obviously that's harder as people

533
00:27:23,200 --> 00:27:27,360
Speaker 1: live longer, healthier lives, and the number of young people decreases.

534
00:27:27,760 --> 00:27:31,040
Speaker 1: But to me, that's like, well, then there's a problem

535
00:27:31,080 --> 00:27:34,200
Speaker 1: with the system, because that is an inevitable cliff we're

536
00:27:34,200 --> 00:27:38,239
Speaker 1: going towards at some point you max out and you

537
00:27:38,280 --> 00:27:41,080
Speaker 1: can't have more young people than old people, right, So

538
00:27:41,119 --> 00:27:44,600
Speaker 1: we're just like kicking that can down the road and saying, well,

539
00:27:44,600 --> 00:27:46,200
Speaker 1: we need to keep doing things the way they were.

540
00:27:47,000 --> 00:27:49,040
Speaker 2: I mean, how many things can you chalk that up

541
00:27:49,080 --> 00:27:53,920
Speaker 2: to you though, It's like, it's not about the individual's problem, right,

542
00:27:54,000 --> 00:27:56,960
Speaker 2: being the problem, it's the way society is structured around it,

543
00:27:57,080 --> 00:28:01,680
Speaker 2: just like disability or even homosexuality. We talked about that

544
00:28:01,760 --> 00:28:04,800
Speaker 2: with like Magnus Hirschfield in his institute, and he's going

545
00:28:04,840 --> 00:28:09,520
Speaker 2: around in eighteen eighties eighteen nineties telling people, Hey, turns

546
00:28:09,560 --> 00:28:12,480
Speaker 2: out homosexuality is not a mental illness. It's just that

547
00:28:12,520 --> 00:28:14,600
Speaker 2: they get real depressed by the way they get treated.

548
00:28:14,359 --> 00:28:14,840
Speaker 1: In the world.

549
00:28:15,040 --> 00:28:18,840
Speaker 2: Yeah, and that's why that that's why it's a problem. No,

550
00:28:19,160 --> 00:28:22,400
Speaker 2: there's nothing inherently wrong with it. So yeah, it's it's

551
00:28:22,480 --> 00:28:25,040
Speaker 2: very true. We're very bad at like changing our systems. Oh,

552
00:28:25,080 --> 00:28:27,520
Speaker 2: we hate it, better serve more people.

553
00:28:27,680 --> 00:28:31,640
Speaker 1: We really hate that changing those systems because really, you know, predictability,

554
00:28:31,640 --> 00:28:34,119
Speaker 1: they're comfortable. They like the system. Why would I change it?

555
00:28:34,119 --> 00:28:37,320
Speaker 1: It's working? But it's is it? Is it working?

556
00:28:37,400 --> 00:28:37,920
Speaker 2: Is it should?

557
00:28:37,920 --> 00:28:41,360
Speaker 1: I rant about movie trailers and how bad they are now,

558
00:28:41,800 --> 00:28:44,160
Speaker 1: and everyone's like, why are movies doing poorly at the

559
00:28:44,200 --> 00:28:46,840
Speaker 1: box office? Let's keep doing the same thing we're doing.

560
00:28:47,880 --> 00:28:48,720
Speaker 2: I'm saying that.

561
00:28:49,040 --> 00:28:53,000
Speaker 1: That is a stay tuned for my next podcast. Eli

562
00:28:53,080 --> 00:28:56,040
Speaker 1: screams about the movie industry and how stupid they are. U.

563
00:28:56,720 --> 00:28:57,560
Speaker 2: We're working on the title.

564
00:28:57,720 --> 00:29:01,120
Speaker 1: You idiots, come higher me to tell you how stupid

565
00:29:01,160 --> 00:29:04,480
Speaker 1: you've been, and I'll fix the entire box office industry

566
00:29:04,640 --> 00:29:05,320
Speaker 1: in a day.

567
00:29:05,600 --> 00:29:07,800
Speaker 2: That's Eli's interview style for any job.

568
00:29:07,880 --> 00:29:10,520
Speaker 1: Yeah, you idiots, listen here, you moron.

569
00:29:11,360 --> 00:29:14,720
Speaker 2: It works really well. He has been gainfully employed for

570
00:29:14,840 --> 00:29:18,480
Speaker 2: many years. But speaking of marriage, we don't have to

571
00:29:18,560 --> 00:29:21,280
Speaker 2: just marry each other. You know, there's lots of ways

572
00:29:21,520 --> 00:29:23,360
Speaker 2: to fulfill this marriage project.

573
00:29:23,480 --> 00:29:24,880
Speaker 1: Oh boy, here we go again.

574
00:29:25,040 --> 00:29:27,760
Speaker 2: Yep, we've got to talk about the uh mayor in

575
00:29:27,800 --> 00:29:30,520
Speaker 2: Mexico who married a crocodile. But we're going to get

576
00:29:30,520 --> 00:29:33,360
Speaker 2: to that gator a little later after we take a

577
00:29:33,400 --> 00:29:34,160
Speaker 2: commercial break.

578
00:29:38,840 --> 00:29:39,960
Speaker 1: Welcome back, everybody.

579
00:29:40,440 --> 00:29:44,120
Speaker 2: So he Bird twenty five on Instagram, tagged us in

580
00:29:44,160 --> 00:29:47,240
Speaker 2: this article, and there was an NPR story about a

581
00:29:47,280 --> 00:29:50,280
Speaker 2: mayor in a town in Mexico married a crocodile as

582
00:29:50,320 --> 00:29:51,640
Speaker 2: part of a harvest ritual.

583
00:29:51,800 --> 00:29:54,040
Speaker 1: Sure, sure, we've talked about this. We have.

584
00:29:54,160 --> 00:29:56,760
Speaker 2: We talked about this in our People and Pets episode

585
00:29:57,200 --> 00:30:00,480
Speaker 2: we explored the phenomenon of people marrying animals either for

586
00:30:00,560 --> 00:30:03,720
Speaker 2: cute or gross sex reasons. Right cute reasons or gross

587
00:30:03,720 --> 00:30:04,320
Speaker 2: sex reasons.

588
00:30:04,480 --> 00:30:07,880
Speaker 1: Mostly cute reasons, I'll say. For that episode stuff too. Yeah,

589
00:30:07,960 --> 00:30:10,840
Speaker 1: we tried to not get too into best realities.

590
00:30:10,240 --> 00:30:12,200
Speaker 2: But we did talk a little bit about this ritual

591
00:30:12,320 --> 00:30:16,760
Speaker 2: in the towns called San Pedro Wammlula and it's a

592
00:30:16,960 --> 00:30:21,160
Speaker 2: part of Wahakan, Mexico. And the Wahaka legend is that

593
00:30:21,520 --> 00:30:25,040
Speaker 2: in pre Hispanic times there were two indigenous tribes, the

594
00:30:25,120 --> 00:30:28,920
Speaker 2: Waves and the Chantales, and they were in conflict over

595
00:30:29,000 --> 00:30:32,280
Speaker 2: fishing territories until a Chantal prince and a Wave princess

596
00:30:32,320 --> 00:30:36,360
Speaker 2: fell in love. Classic star cross solved everything. Marriage is

597
00:30:36,400 --> 00:30:39,600
Speaker 2: a solution to many territorial disputes, as we have learned,

598
00:30:39,800 --> 00:30:41,680
Speaker 2: and the Wabas people were said to be able to

599
00:30:41,720 --> 00:30:46,520
Speaker 2: transform into any animal, So the Wava princess transformed into

600
00:30:46,560 --> 00:30:50,000
Speaker 2: a crocodile swam to the shores of San Pedro Wamelula

601
00:30:50,000 --> 00:30:52,400
Speaker 2: to be with her chantal prince, and they got married

602
00:30:52,400 --> 00:30:53,680
Speaker 2: and the tribes lived in peace.

603
00:30:54,000 --> 00:30:58,440
Speaker 1: Okay, now, right off the bat part of me, I

604
00:30:58,480 --> 00:31:02,200
Speaker 1: had conflicting thoughts here because initially I was like, crocodile's

605
00:31:02,200 --> 00:31:04,640
Speaker 1: what you went with. You're gonna swim over because like,

606
00:31:04,640 --> 00:31:09,040
Speaker 1: I don't want to frighten everyone, and the shore of

607
00:31:09,040 --> 00:31:10,920
Speaker 1: the crocodile Like, yeah, I gotta be like a blue

608
00:31:10,920 --> 00:31:15,040
Speaker 1: heron or something and fly over the water, flip side.

609
00:31:15,600 --> 00:31:19,840
Speaker 1: Crocodiles very fast and if you're if you are traveling

610
00:31:19,920 --> 00:31:22,920
Speaker 1: by water, the surest way to get there without anything

611
00:31:23,120 --> 00:31:24,760
Speaker 1: larger than you bothering you.

612
00:31:24,760 --> 00:31:28,239
Speaker 2: You know, that's crocodile. So all right, Plus she's going

613
00:31:28,280 --> 00:31:30,960
Speaker 2: into enemy territory technically, right, yeah, so she's got to

614
00:31:31,000 --> 00:31:32,360
Speaker 2: be ready to defend herself armored.

615
00:31:32,480 --> 00:31:32,680
Speaker 1: Yeah.

616
00:31:32,760 --> 00:31:34,680
Speaker 2: Yeah. So she's like, I got big teeth in case

617
00:31:34,720 --> 00:31:38,120
Speaker 2: the wrong chantal guy walks up to me. Yeah, the

618
00:31:38,160 --> 00:31:38,680
Speaker 2: wrong time.

619
00:31:38,920 --> 00:31:39,400
Speaker 1: So yeah.

620
00:31:39,520 --> 00:31:44,280
Speaker 2: Now, today, to honor this legend, the mayor of San

621
00:31:44,320 --> 00:31:48,160
Speaker 2: Pedro Wamolula will represent the chantal prince and then they

622
00:31:48,240 --> 00:31:51,120
Speaker 2: pick a reptile it's actually called a cayman. It's an

623
00:31:51,200 --> 00:31:54,760
Speaker 2: alligator like reptile. It's not really a crocodile. But yeah,

624
00:31:54,800 --> 00:31:57,720
Speaker 2: so they they have a cayman that represents the Juabe princess,

625
00:31:57,840 --> 00:32:00,760
Speaker 2: and then the mayor represents the chantal prince and they

626
00:32:00,800 --> 00:32:04,160
Speaker 2: do this little fun ceremony kind of essentially a party,

627
00:32:04,320 --> 00:32:07,080
Speaker 2: you know, like a party for the town where the

628
00:32:07,120 --> 00:32:10,400
Speaker 2: mayor marries the crocodile and or Mary's the cayman. Rather,

629
00:32:10,520 --> 00:32:12,560
Speaker 2: it's about three or four feet long. It's not a

630
00:32:12,680 --> 00:32:14,640
Speaker 2: you know, full size that you can carry it around.

631
00:32:15,080 --> 00:32:17,000
Speaker 2: They'll put it in a beaded white dress and a

632
00:32:17,080 --> 00:32:20,480
Speaker 2: veil and the mayor kisses it on the snout and everything,

633
00:32:20,600 --> 00:32:24,600
Speaker 2: and they paraded around the town and usually do the

634
00:32:24,640 --> 00:32:26,960
Speaker 2: mayor dances. This is the first dance with his new

635
00:32:27,000 --> 00:32:28,120
Speaker 2: wife and everything.

636
00:32:27,960 --> 00:32:29,840
Speaker 1: Like I do like marriage thing.

637
00:32:29,920 --> 00:32:32,520
Speaker 2: Yeah, exactly when we talked about it in people in Pets,

638
00:32:33,000 --> 00:32:35,120
Speaker 2: it was a different mayor and they gave the croc

639
00:32:35,160 --> 00:32:39,360
Speaker 2: the married name of Emma Naves Munos, which was the

640
00:32:39,400 --> 00:32:42,680
Speaker 2: mayor's human wife's name, so they named it after his

641
00:32:42,840 --> 00:32:47,160
Speaker 2: actual wife. And members of the municipal council are required

642
00:32:47,200 --> 00:32:50,080
Speaker 2: to pay for this wedding and they are fined if

643
00:32:50,120 --> 00:32:53,000
Speaker 2: they don't. Oh, it's a really important part of the

644
00:32:53,000 --> 00:32:54,440
Speaker 2: culture in this town.

645
00:32:54,480 --> 00:32:57,200
Speaker 1: I was going to ask if, as you're running for mayor,

646
00:32:57,840 --> 00:32:59,719
Speaker 1: is this a big part of your platform, Like, Hi,

647
00:32:59,800 --> 00:33:03,480
Speaker 1: will marry this crocodile and treat her with respect and

648
00:33:03,520 --> 00:33:07,480
Speaker 1: all this stuff. Or is this, like, in terms of

649
00:33:07,520 --> 00:33:11,040
Speaker 1: the actual job, one of these like annoying little ceremonial

650
00:33:11,080 --> 00:33:13,120
Speaker 1: things that you just have to do and you're like, oh, yeah,

651
00:33:13,160 --> 00:33:15,640
Speaker 1: I have to marry the crocodile today, okay, whatever, Or

652
00:33:15,720 --> 00:33:17,760
Speaker 1: is it like, so, is it like the main thing

653
00:33:17,800 --> 00:33:19,760
Speaker 1: people are thinking about when they think about the mayor

654
00:33:19,760 --> 00:33:20,240
Speaker 1: of this town.

655
00:33:20,800 --> 00:33:22,800
Speaker 2: They're like, I don't I don't think that man should

656
00:33:22,840 --> 00:33:27,320
Speaker 2: marry any kind of reptile, let alone the Haabbe princess.

657
00:33:27,840 --> 00:33:30,360
Speaker 2: I bet it's more like a ribbon cutting or something annoying.

658
00:33:30,400 --> 00:33:33,080
Speaker 1: Oh yeah, that mayors have to do. Yeah, I mean,

659
00:33:33,080 --> 00:33:34,520
Speaker 1: I'm sure it's fun. You get a whole party for

660
00:33:34,560 --> 00:33:35,200
Speaker 1: it and everything.

661
00:33:35,360 --> 00:33:37,320
Speaker 2: Oh yeah, I mean, well, and it's just fun to

662
00:33:37,440 --> 00:33:40,520
Speaker 2: like get into it, you know. Oh, we all live

663
00:33:40,600 --> 00:33:43,040
Speaker 2: here and we're happy to live here, and we're proud

664
00:33:43,080 --> 00:33:45,760
Speaker 2: of our traditions. Yeah, all that stuff. That's a nice

665
00:33:45,760 --> 00:33:48,400
Speaker 2: affirming thing to do with your town. So I can

666
00:33:48,440 --> 00:33:50,840
Speaker 2: see it working out well. Yeah, for the new mayor

667
00:33:50,920 --> 00:33:53,240
Speaker 2: to have that kind of kick off his term.

668
00:33:53,520 --> 00:33:57,240
Speaker 1: It's fun. And it just happened again in twenty twenty three.

669
00:33:57,720 --> 00:33:59,880
Speaker 1: This time the mayor's name is Victor Hugo, So.

670
00:34:00,080 --> 00:34:01,280
Speaker 2: Saw Victor Hugo.

671
00:34:01,560 --> 00:34:06,680
Speaker 1: Victor Hugo and the alligator like reptile is a Cayman also,

672
00:34:06,880 --> 00:34:10,440
Speaker 1: and her name is Alicia Adriana. They don't mention in

673
00:34:10,440 --> 00:34:13,560
Speaker 1: this article if this mayor is already married to a human,

674
00:34:13,640 --> 00:34:15,239
Speaker 1: or if like that's her name and they used it

675
00:34:15,239 --> 00:34:16,640
Speaker 1: like they did with the previous mayor or not.

676
00:34:17,160 --> 00:34:19,000
Speaker 2: Can't tell if that's a common thing to do, right,

677
00:34:19,120 --> 00:34:19,560
Speaker 2: or if.

678
00:34:19,440 --> 00:34:21,200
Speaker 1: This is the Cayman's birth name.

679
00:34:21,320 --> 00:34:24,080
Speaker 2: Alicia Cayman chose this name for themselves.

680
00:34:25,000 --> 00:34:27,040
Speaker 1: But yeah, I mean this is a two hundred and

681
00:34:27,080 --> 00:34:29,920
Speaker 1: thirty years of tradition at this point. That's pretty amazing,

682
00:34:30,080 --> 00:34:33,120
Speaker 1: which is pretty cool in terms of little quirky town rituals.

683
00:34:33,120 --> 00:34:35,000
Speaker 1: It's kind of a fun one, right. Yeah.

684
00:34:35,120 --> 00:34:37,919
Speaker 2: You think Maximilian, the one one, the first, would would

685
00:34:37,920 --> 00:34:41,239
Speaker 2: have married Cayman, oh, still in charge of Mexico.

686
00:34:41,320 --> 00:34:43,160
Speaker 1: Yes, he would have done anything for his people.

687
00:34:43,200 --> 00:34:43,799
Speaker 2: I think you're right.

688
00:34:43,880 --> 00:34:45,719
Speaker 1: Yeah, he would have had a great time.

689
00:34:45,560 --> 00:34:46,319
Speaker 2: Whatever you say.

690
00:34:46,440 --> 00:34:48,480
Speaker 1: I don't know if Carlotta would have gone for it.

691
00:34:48,880 --> 00:34:51,279
Speaker 2: Oh she like, don't name that shit after me?

692
00:34:54,719 --> 00:34:57,880
Speaker 1: Out of here? Man. I wonder, I wonder what married

693
00:34:57,920 --> 00:35:00,279
Speaker 1: life is like for the mayor and the and the

694
00:35:00,320 --> 00:35:02,560
Speaker 1: crocodile after this, she's a crocodile standing there with a

695
00:35:02,640 --> 00:35:05,920
Speaker 1: rolling pin. She don't you go down to the Ai

696
00:35:06,040 --> 00:35:12,000
Speaker 1: brothel again. I told you no more masturbation. I do

697
00:35:12,120 --> 00:35:13,399
Speaker 1: wonder I should be enough.

698
00:35:13,800 --> 00:35:17,160
Speaker 2: I should be enough for you my snout and teeth.

699
00:35:18,520 --> 00:35:20,600
Speaker 2: I wonder what happens to the canan? Does it get

700
00:35:20,640 --> 00:35:23,040
Speaker 2: re released into the river or something? Or do you

701
00:35:23,160 --> 00:35:25,200
Speaker 2: live in a in captivity?

702
00:35:25,200 --> 00:35:26,839
Speaker 1: Now? Is it like pusatani Phil?

703
00:35:27,200 --> 00:35:29,480
Speaker 2: People visit it like, oh, it's the mayor's wife, like

704
00:35:29,520 --> 00:35:33,400
Speaker 2: it's a dignitary. I don't know. There's not enough information.

705
00:35:33,800 --> 00:35:34,960
Speaker 1: If they put it back in the wile, that means

706
00:35:35,000 --> 00:35:36,960
Speaker 1: they have to catch one each time, too true?

707
00:35:36,960 --> 00:35:39,040
Speaker 2: And well we know it's a different Cayman than the

708
00:35:39,080 --> 00:35:42,120
Speaker 2: first one. Right, she's already married, like big a miss Like, yeah,

709
00:35:42,719 --> 00:35:44,760
Speaker 2: maybe they don't live that long. I didn't do enough research.

710
00:35:44,800 --> 00:35:46,359
Speaker 1: I'm sure they a long time.

711
00:35:46,600 --> 00:35:47,759
Speaker 2: Yeah, but yeah, I want to.

712
00:35:47,800 --> 00:35:49,960
Speaker 1: You know, she's you know, you can't marry twice. She's like,

713
00:35:50,000 --> 00:35:53,280
Speaker 1: I'm in a committed marriage. That's right, the previous mayor.

714
00:35:55,600 --> 00:35:57,840
Speaker 1: So yeah. I wonder if they're like some kind of

715
00:35:57,840 --> 00:36:00,440
Speaker 1: domesticated a little bit so you can can't around it.

716
00:36:00,480 --> 00:36:02,040
Speaker 1: They must be a docile species.

717
00:36:02,120 --> 00:36:05,600
Speaker 2: They're using clearly not very attack, but they do. They

718
00:36:05,600 --> 00:36:09,040
Speaker 2: do tie the mouth shut, sure, so just in case cautions.

719
00:36:09,080 --> 00:36:10,680
Speaker 1: Hey, if I could have tied your mouth shut at

720
00:36:10,680 --> 00:36:12,160
Speaker 1: our wedding, boom.

721
00:36:12,680 --> 00:36:14,880
Speaker 2: Everyone booy lie boom.

722
00:36:15,600 --> 00:36:17,240
Speaker 1: I love it. I love those sounds.

723
00:36:17,680 --> 00:36:18,520
Speaker 2: You are evil.

724
00:36:19,480 --> 00:36:21,319
Speaker 1: I would never you kid me. If I tied your

725
00:36:21,320 --> 00:36:23,440
Speaker 1: mouth shut at our wedding, nothing would have gotten done.

726
00:36:23,640 --> 00:36:26,240
Speaker 2: That's so true. Yeah, because I was in charge of everything.

727
00:36:26,400 --> 00:36:28,640
Speaker 1: Well, i'd like to think we split a lot of stuff.

728
00:36:29,200 --> 00:36:33,160
Speaker 1: Oh tell me, tell me how I didn't do enough

729
00:36:33,160 --> 00:36:33,760
Speaker 1: for our wedding.

730
00:36:33,960 --> 00:36:38,320
Speaker 2: No, you did. You did plenty, plenty, plenty.

731
00:36:38,440 --> 00:36:39,800
Speaker 1: That's an understatement.

732
00:36:40,680 --> 00:36:43,000
Speaker 2: I just remember the day laughing pretty hard because I

733
00:36:43,040 --> 00:36:44,520
Speaker 2: was like, I have to get there early. We have

734
00:36:44,640 --> 00:36:46,319
Speaker 2: like all this makeup and hair to get done, blah

735
00:36:46,320 --> 00:36:47,759
Speaker 2: blah blah. And then at some point I saw you

736
00:36:47,800 --> 00:36:49,480
Speaker 2: and you were like, well, we've just been hanging out, like,

737
00:36:49,640 --> 00:36:50,359
Speaker 2: got nothing to do.

738
00:36:50,920 --> 00:36:52,839
Speaker 1: He had nothing to do. I was sweating my ass

739
00:36:52,840 --> 00:36:55,320
Speaker 1: off hanging tool on a tree for an hour and

740
00:36:55,360 --> 00:36:57,080
Speaker 1: a half without any tool.

741
00:36:58,239 --> 00:37:02,000
Speaker 2: It didn't really work, and it didn't work whatever, That's

742
00:37:02,000 --> 00:37:02,720
Speaker 2: not what's important.

743
00:37:02,760 --> 00:37:04,880
Speaker 1: No, I was ill equipped. I didn't have the tools

744
00:37:05,000 --> 00:37:07,440
Speaker 1: for that tool, and it was hot. Wasn't supposed to

745
00:37:07,480 --> 00:37:10,720
Speaker 1: be anyway, go on, Not important about our marriage. Nobody

746
00:37:10,760 --> 00:37:11,359
Speaker 1: cares about that.

747
00:37:11,880 --> 00:37:15,480
Speaker 2: But this is actually not the only animal marriage done

748
00:37:15,600 --> 00:37:19,760
Speaker 2: for traditional reasons, I guess because in Newsweek's article about

749
00:37:19,800 --> 00:37:23,920
Speaker 2: this the Mayor Marrying the Cayman, it mentions that in

750
00:37:23,960 --> 00:37:26,200
Speaker 2: twenty fourteen, there was an eighteen year old girl from

751
00:37:26,200 --> 00:37:29,800
Speaker 2: a remote village in eastern India who married a stray

752
00:37:29,840 --> 00:37:34,440
Speaker 2: dog in a ceremony arranged by village elders. And they

753
00:37:34,480 --> 00:37:37,160
Speaker 2: said that the girl's family had been told that she

754
00:37:37,360 --> 00:37:39,920
Speaker 2: was cursed with bad luck and the only way to

755
00:37:39,960 --> 00:37:44,280
Speaker 2: lift the spell was to marry the dog. Oh, which

756
00:37:44,920 --> 00:37:47,719
Speaker 2: was the curse. Like the first man you marry, the

757
00:37:47,760 --> 00:37:51,080
Speaker 2: first thing you marry will die immediately something. And they're like, okay,

758
00:37:51,120 --> 00:37:53,480
Speaker 2: you have to marry this dog. I don't understand what

759
00:37:53,560 --> 00:37:55,839
Speaker 2: the curse could be that marrying a dog would fix it.

760
00:37:56,320 --> 00:37:58,680
Speaker 1: Look, the book says you gotta marry a dog.

761
00:37:58,760 --> 00:38:01,880
Speaker 2: I want to tell you. But after the ceremony was completed,

762
00:38:02,080 --> 00:38:05,080
Speaker 2: she was able to marry a man without first divorcing

763
00:38:05,120 --> 00:38:05,520
Speaker 2: the dog.

764
00:38:05,640 --> 00:38:08,640
Speaker 1: WHOA Now, so anybody asked the dog how he felt

765
00:38:08,640 --> 00:38:09,080
Speaker 1: about this?

766
00:38:09,080 --> 00:38:10,960
Speaker 2: It's a cursed loophole there where It's like, was it

767
00:38:11,040 --> 00:38:12,040
Speaker 2: really a marriage or not?

768
00:38:12,280 --> 00:38:14,839
Speaker 1: Because I didn't have to divorce she had to trick

769
00:38:14,920 --> 00:38:16,880
Speaker 1: the evil spirits and thinking she was still married to

770
00:38:16,920 --> 00:38:19,040
Speaker 1: that dog. That's why she couldn't divorce it, or they

771
00:38:19,040 --> 00:38:21,719
Speaker 1: would have been like what for her next partner? I

772
00:38:21,760 --> 00:38:22,560
Speaker 1: guess this.

773
00:38:22,480 --> 00:38:23,120
Speaker 2: Whole other guy?

774
00:38:23,320 --> 00:38:24,640
Speaker 1: Now this poor dog?

775
00:38:25,120 --> 00:38:28,279
Speaker 2: And then she told the girl told news outlets that

776
00:38:28,400 --> 00:38:31,680
Speaker 2: several ceremonies like hers had taken place in the village

777
00:38:31,719 --> 00:38:34,839
Speaker 2: and surrounding areas. Sure, where's it? Why are so many

778
00:38:34,840 --> 00:38:38,240
Speaker 2: curses being placed on the young ladies of these these villages?

779
00:38:38,640 --> 00:38:39,800
Speaker 2: I was doing the cursing.

780
00:38:40,000 --> 00:38:42,440
Speaker 1: I will say it's it'd be weirder to me if

781
00:38:42,480 --> 00:38:45,880
Speaker 1: this wasn't a more than once thing, because like a

782
00:38:45,880 --> 00:38:48,040
Speaker 1: one time thing is like you made that up? There's

783
00:38:48,040 --> 00:38:49,960
Speaker 1: no way I'm not marrying a dog. That's the craziest

784
00:38:49,960 --> 00:38:51,680
Speaker 1: thing I've ever heard. But if it's like kind of

785
00:38:51,680 --> 00:38:55,000
Speaker 1: embedded into the sort of local cultural tradition.

786
00:38:54,840 --> 00:38:55,720
Speaker 2: You remember Susan.

787
00:38:55,880 --> 00:38:57,160
Speaker 1: Oh, okay, yeah, you're in.

788
00:38:57,080 --> 00:38:59,600
Speaker 2: A Susan situation. We're gonna have to get you to

789
00:38:59,600 --> 00:39:00,200
Speaker 2: marry this U.

790
00:39:01,320 --> 00:39:04,760
Speaker 1: That's I mean, hey, we have weird marriage traditions too.

791
00:39:05,040 --> 00:39:07,040
Speaker 2: We sure do. There was I did see an article

792
00:39:07,040 --> 00:39:10,520
Speaker 2: too about a lady in India who was an untouchable cast,

793
00:39:10,800 --> 00:39:13,719
Speaker 2: which we've talked about the cast system idea before, where

794
00:39:13,719 --> 00:39:15,960
Speaker 2: it's like the lowest of the low. Well, there was

795
00:39:16,000 --> 00:39:19,120
Speaker 2: a snake in this village that was seen as a deity,

796
00:39:19,640 --> 00:39:22,279
Speaker 2: and this woman married the snake, and now she has

797
00:39:22,320 --> 00:39:25,799
Speaker 2: been lifted out of her cast, which is apparently incredibly

798
00:39:26,400 --> 00:39:29,239
Speaker 2: like impossible, and usually you can't do that. But this

799
00:39:29,480 --> 00:39:33,160
Speaker 2: marrying this snake got her lifted out of her untouchable

800
00:39:33,200 --> 00:39:37,399
Speaker 2: cast to a higher status. I wonder, which I find

801
00:39:37,560 --> 00:39:38,400
Speaker 2: very fascinating.

802
00:39:38,560 --> 00:39:40,719
Speaker 1: I wonder if it hurt the snake's status at all

803
00:39:40,760 --> 00:39:42,560
Speaker 1: in some people's eyes, If now they look at that

804
00:39:42,600 --> 00:39:46,880
Speaker 1: snake and they're like, I used to respect you. What

805
00:39:47,280 --> 00:39:50,759
Speaker 1: did you say, I used to respect you.

806
00:39:52,680 --> 00:39:55,239
Speaker 2: I don't know. It's funny because the snake doesn't even

807
00:39:55,280 --> 00:39:57,200
Speaker 2: come out of its like hole or wherever.

808
00:39:57,239 --> 00:40:00,319
Speaker 1: It's never come out of there holes.

809
00:40:01,120 --> 00:40:03,279
Speaker 2: And the woman apparently kind of keeps to herself too.

810
00:40:03,320 --> 00:40:05,440
Speaker 2: She doesn't try to like use her stet you know,

811
00:40:05,560 --> 00:40:07,319
Speaker 2: she does just like rock around like I'm better now

812
00:40:07,360 --> 00:40:09,399
Speaker 2: than I used to be or something. She's very like, do.

813
00:40:09,480 --> 00:40:12,440
Speaker 1: You know who my husband is? Okay, do you know

814
00:40:12,800 --> 00:40:15,520
Speaker 1: who my husband is? Now?

815
00:40:15,560 --> 00:40:18,000
Speaker 2: I do now I know.

816
00:40:18,320 --> 00:40:20,399
Speaker 1: But also she can be like, well, my husband, he's

817
00:40:20,440 --> 00:40:23,080
Speaker 1: a real snake, you know what I'm saying. And they're like,

818
00:40:23,160 --> 00:40:25,160
Speaker 1: I feel you, girl, and she says, you don't know.

819
00:40:25,840 --> 00:40:28,000
Speaker 2: I mean, I mean he's a real snake, literal snake.

820
00:40:29,040 --> 00:40:29,560
Speaker 1: Well, you know what.

821
00:40:29,640 --> 00:40:31,680
Speaker 2: He doesn't masturbate, so I'll do.

822
00:40:31,840 --> 00:40:34,960
Speaker 1: Yeah, she's out there shaking a rolling pin at him. Now,

823
00:40:35,000 --> 00:40:39,959
Speaker 1: don't you go down to the AI brothels. Oh my god,

824
00:40:40,320 --> 00:40:44,040
Speaker 1: snake rolls into the AI brothel. He's like, so you're

825
00:40:44,080 --> 00:40:46,560
Speaker 1: not going to tell my wife? Right? This is kind

826
00:40:46,560 --> 00:40:50,439
Speaker 1: of secretive and it was so ridiculous. Is like a

827
00:40:50,520 --> 00:40:54,400
Speaker 1: snake has never made an s sound and since the

828
00:40:54,440 --> 00:40:59,760
Speaker 1: dawn of time, right, it flicks its tongue, they hiss,

829
00:41:00,080 --> 00:41:01,000
Speaker 1: some of them hiss.

830
00:41:01,200 --> 00:41:05,319
Speaker 2: I guess how do you without making a well, it's

831
00:41:05,360 --> 00:41:05,960
Speaker 2: on the throat.

832
00:41:07,400 --> 00:41:13,800
Speaker 1: Oh yeah, I don't know how a snake hisses. Zoologists, Uh, snakeology,

833
00:41:14,200 --> 00:41:19,520
Speaker 1: what's the study of snakes is? Oh? Feology? Oh? The

834
00:41:19,560 --> 00:41:23,840
Speaker 1: theologists or herpetologists, which is the study of amphibians and

835
00:41:23,880 --> 00:41:25,839
Speaker 1: reptiles get at us?

836
00:41:25,880 --> 00:41:28,000
Speaker 2: How does a snake hiss get at me?

837
00:41:28,200 --> 00:41:31,600
Speaker 1: And is it absurd that we have since probably, I'm

838
00:41:31,600 --> 00:41:36,000
Speaker 1: going to say since Disney decided that snakes all elongate their.

839
00:41:36,000 --> 00:41:39,839
Speaker 2: SSEs, probably because of that amazing snake in Robin Robin

840
00:41:39,840 --> 00:41:42,480
Speaker 2: Hood one of the greatest arms somehow.

841
00:41:43,480 --> 00:41:45,000
Speaker 1: One of the best animated characters all time.

842
00:41:45,120 --> 00:41:49,319
Speaker 2: Incredible. I loved it when he played when he put

843
00:41:49,560 --> 00:41:52,120
Speaker 2: his head through that balloon and then propelled himself through

844
00:41:52,160 --> 00:41:54,239
Speaker 2: the air. I was like, snakes are amazing. May you

845
00:41:54,280 --> 00:41:55,040
Speaker 2: do all kinds of shit?

846
00:41:55,160 --> 00:41:57,640
Speaker 1: So great? I love that character. I love that movie.

847
00:41:57,719 --> 00:41:58,560
Speaker 2: Oh so good.

848
00:41:58,640 --> 00:42:00,640
Speaker 1: I love that movie. It's one of my favor Redisy movies,

849
00:42:00,680 --> 00:42:04,279
Speaker 1: is the old Robin Hood. But there's one thing about

850
00:42:04,360 --> 00:42:06,759
Speaker 1: Robin Hood. It's not romantic. So let's get back to

851
00:42:07,800 --> 00:42:11,200
Speaker 1: a couple more stories. I'll tell you the tale of

852
00:42:11,440 --> 00:42:15,400
Speaker 1: Robin of Loxley. No, we have real and more modern

853
00:42:15,480 --> 00:42:18,520
Speaker 1: stories left, including what's going on with some of our

854
00:42:18,560 --> 00:42:22,440
Speaker 1: celebrity friends and some very important legislation to come out

855
00:42:22,440 --> 00:42:24,879
Speaker 1: of the Supreme Court. So take a quick break. We'll

856
00:42:24,920 --> 00:42:25,960
Speaker 1: be right back with that after this.

857
00:42:29,719 --> 00:42:30,840
Speaker 2: Welcome back to the show.

858
00:42:31,320 --> 00:42:33,319
Speaker 1: Here's a quick, little fun one. We've been talking about

859
00:42:33,320 --> 00:42:38,760
Speaker 1: all his sex abuse and scandal and robots and laws changing.

860
00:42:39,920 --> 00:42:43,960
Speaker 1: About John Ham, America's sweetheart. Ah, John Ham. We don't

861
00:42:43,960 --> 00:42:45,879
Speaker 1: get into a lot of celebrity stuff on this show

862
00:42:45,960 --> 00:42:49,600
Speaker 1: unless it's truly absurd, but John Ham did just get married.

863
00:42:50,000 --> 00:42:52,680
Speaker 1: He's fifty two and his wife is thirty five. And

864
00:42:52,719 --> 00:42:54,560
Speaker 1: that's one of those like big age gad for you,

865
00:42:54,719 --> 00:42:57,120
Speaker 1: Like whatever, She's a totally grown ass woman. She's not

866
00:42:57,200 --> 00:43:01,279
Speaker 1: being groomed or manipulated. John Ham and was like, I

867
00:43:01,320 --> 00:43:02,560
Speaker 1: would marry him at any age.

868
00:43:02,760 --> 00:43:05,400
Speaker 2: I mean, I'm sure you can blame him honestly.

869
00:43:05,160 --> 00:43:07,239
Speaker 1: Yeah, I would marry John Ham at any age too.

870
00:43:07,520 --> 00:43:08,640
Speaker 1: Guy's set for life.

871
00:43:08,680 --> 00:43:11,719
Speaker 2: He looks great, he's got a good career. Yep, he

872
00:43:12,000 --> 00:43:13,160
Speaker 2: got a cute dog.

873
00:43:13,480 --> 00:43:15,320
Speaker 1: We saw him, we did, did we tell y'all. We

874
00:43:15,400 --> 00:43:16,560
Speaker 1: might have told you all this. But when we went

875
00:43:16,600 --> 00:43:19,840
Speaker 1: to La and we were walking through Griffith Park, we

876
00:43:19,880 --> 00:43:23,680
Speaker 1: saw a man walking towards us with a dog. Now, Diana,

877
00:43:23,719 --> 00:43:24,520
Speaker 1: what did you see?

878
00:43:24,760 --> 00:43:25,439
Speaker 2: I saw the dog?

879
00:43:25,520 --> 00:43:27,279
Speaker 1: You saw? You saw an adorable dog.

880
00:43:28,280 --> 00:43:30,440
Speaker 2: Percent focused on this dog, and it was just like

881
00:43:30,480 --> 00:43:32,840
Speaker 2: a like I think it's a Golden Retriever or something.

882
00:43:32,880 --> 00:43:35,719
Speaker 2: It was just like blonde dog, a fluffy but and

883
00:43:35,760 --> 00:43:37,800
Speaker 2: I was like, hey, I love a dog so excited.

884
00:43:37,880 --> 00:43:39,120
Speaker 1: Yep, I was.

885
00:43:39,200 --> 00:43:40,520
Speaker 2: They're gone before Eli.

886
00:43:40,880 --> 00:43:43,160
Speaker 1: I was eighty percent focused on the dog, but I

887
00:43:43,200 --> 00:43:45,560
Speaker 1: happened to glance up to just do like a smile, like,

888
00:43:45,880 --> 00:43:49,600
Speaker 1: oh yes, nice dog, sir, pleasant day for a walk

889
00:43:50,000 --> 00:43:52,399
Speaker 1: kind of glance. And I looked up and the guy

890
00:43:52,400 --> 00:43:55,840
Speaker 1: did not make eye contact with me. Baseball cap, big sunglasses,

891
00:43:56,040 --> 00:43:59,160
Speaker 1: and I was like, I think that was John Ham. All, Jiana,

892
00:43:59,200 --> 00:44:01,319
Speaker 1: I think that's John Ham. We weren't sure. You know,

893
00:44:01,320 --> 00:44:03,920
Speaker 1: we're in LA. You probably think you see celebrities all

894
00:44:03,960 --> 00:44:07,960
Speaker 1: over the place. So we googled John Ham's dog, right,

895
00:44:08,040 --> 00:44:09,680
Speaker 1: and it was the same dog.

896
00:44:11,480 --> 00:44:14,200
Speaker 2: So I guess I saw John Ham's dog and Eli

897
00:44:14,280 --> 00:44:17,920
Speaker 2: saw John Ham. For whatever we saw John.

898
00:44:17,760 --> 00:44:20,920
Speaker 1: Ham, Yeah, anyway, So.

899
00:44:20,920 --> 00:44:24,920
Speaker 2: We saw his dog, and it's a cute dog. So

900
00:44:24,920 --> 00:44:26,400
Speaker 2: I can understand why someone would be like, let me

901
00:44:26,400 --> 00:44:31,360
Speaker 2: spend more time with this dog by marrying, right, a

902
00:44:31,360 --> 00:44:34,680
Speaker 2: great reason to get married. And honestly, what wasn't a

903
00:44:34,840 --> 00:44:37,719
Speaker 2: Steve Martin's wife thirty five when they got together and he.

904
00:44:37,719 --> 00:44:40,359
Speaker 1: Was like seventy right he was sixty? I think, yeah, yeah,

905
00:44:40,520 --> 00:44:42,640
Speaker 1: something like that. We talked about that in our what's

906
00:44:42,680 --> 00:44:43,800
Speaker 1: that our fourth episode?

907
00:44:43,840 --> 00:44:50,040
Speaker 2: I think something In other celebrity news, Frankie Valley just

908
00:44:50,120 --> 00:44:53,120
Speaker 2: married his fifth wife. I didn't think Frankie Valley was still.

909
00:44:52,960 --> 00:44:54,120
Speaker 1: This is one of those guys where I'm going to

910
00:44:54,120 --> 00:44:58,640
Speaker 1: see the news that Frankie Valley died and be like, oh, okay, wow,

911
00:44:58,719 --> 00:44:59,839
Speaker 1: that's sad to hear.

912
00:45:00,320 --> 00:45:02,560
Speaker 2: I was already sad about that, so I just keep going.

913
00:45:04,680 --> 00:45:07,320
Speaker 2: But yeah, he just married his fifth wife. Frankie Valley's

914
00:45:07,360 --> 00:45:12,000
Speaker 2: eighty nine and his fifth wife is sixty. Still a

915
00:45:12,040 --> 00:45:15,560
Speaker 2: significant age gap, but they're both at least seniors citizens ye,

916
00:45:16,040 --> 00:45:16,959
Speaker 2: trying to be happy together.

917
00:45:17,040 --> 00:45:19,320
Speaker 1: Find me a spry young woman of sixty.

918
00:45:19,719 --> 00:45:21,040
Speaker 2: I ain't mad at your frank.

919
00:45:21,320 --> 00:45:24,960
Speaker 1: Sixty is the new like twenty seven, So wow, is

920
00:45:25,000 --> 00:45:29,120
Speaker 1: it I'm well, I know, sixty year old's right. People

921
00:45:29,120 --> 00:45:32,759
Speaker 1: in their sixties if yours and my parents included, who

922
00:45:33,000 --> 00:45:34,000
Speaker 1: seem younger than I do.

923
00:45:34,360 --> 00:45:37,319
Speaker 2: I know, right energy and my mom is like still

924
00:45:37,360 --> 00:45:41,800
Speaker 2: battling cancer, but their energy is like something to aspire to.

925
00:45:42,880 --> 00:45:45,720
Speaker 1: So all right, well, Frankie Valley, there you go, fifth wife,

926
00:45:46,160 --> 00:45:49,399
Speaker 1: keep going, and then I think we all heard this.

927
00:45:50,440 --> 00:45:55,040
Speaker 1: But al Pacino al is eighty two years old and

928
00:45:55,080 --> 00:45:58,720
Speaker 1: he's now expecting his fourth child with his girlfriend Norah.

929
00:45:58,800 --> 00:46:03,200
Speaker 1: I'll follow, who's nine. His other kids are twenty two

930
00:46:03,239 --> 00:46:07,200
Speaker 1: year old twins and a thirty three year old daughter.

931
00:46:07,360 --> 00:46:10,760
Speaker 1: And if you play back the tape, nor Oh Fala

932
00:46:10,920 --> 00:46:15,200
Speaker 1: is twenty nine, so his daughter's older than his girlfriend.

933
00:46:16,239 --> 00:46:18,360
Speaker 1: I albata a different.

934
00:46:18,120 --> 00:46:21,000
Speaker 2: World, I cannot al Pacino certainly does live in a

935
00:46:21,040 --> 00:46:24,879
Speaker 2: different reality than the rest of us, But I can't

936
00:46:24,920 --> 00:46:27,720
Speaker 2: imagine being a thirty three year old woman and meeting

937
00:46:28,040 --> 00:46:32,359
Speaker 2: my father's expecting girlfriends. Yeah, and she's you know, four

938
00:46:32,440 --> 00:46:33,200
Speaker 2: years younger than me.

939
00:46:33,400 --> 00:46:34,080
Speaker 1: That's super weird.

940
00:46:34,160 --> 00:46:36,840
Speaker 2: I don't know how you do that. So I'm assuming

941
00:46:36,880 --> 00:46:41,160
Speaker 2: the daughter is probably totally fine to talk to nor

942
00:46:41,239 --> 00:46:44,759
Speaker 2: when they're around each other. I don't know maybe maybe

943
00:46:44,760 --> 00:46:46,640
Speaker 2: they're shitty together, but I just I feel like I

944
00:46:46,640 --> 00:46:49,919
Speaker 2: would have a really hard time understanding that girl, well,

945
00:46:50,160 --> 00:46:52,120
Speaker 2: like blink twice or if you need some help or

946
00:46:52,120 --> 00:46:55,359
Speaker 2: if somebody, I don't know, I just I don't know.

947
00:46:55,400 --> 00:46:56,440
Speaker 2: I don't know how to feel about that.

948
00:46:56,560 --> 00:46:59,840
Speaker 1: Weirder still, to me, is having a child at a

949
00:47:00,000 --> 00:47:03,400
Speaker 1: eighty two years old for anybody, because I'm like, look,

950
00:47:04,080 --> 00:47:07,640
Speaker 1: lots of kids grow up, you know, without their father

951
00:47:07,719 --> 00:47:09,759
Speaker 1: being alive or whatever. And it's fine, it's not like

952
00:47:09,960 --> 00:47:13,600
Speaker 1: you're set up for tragedy or anything like that. But still, also,

953
00:47:13,920 --> 00:47:16,640
Speaker 1: you're eighty two. You know you're probably not going to

954
00:47:16,680 --> 00:47:20,120
Speaker 1: see this kid become a teenager, right, and that's I

955
00:47:20,160 --> 00:47:24,239
Speaker 1: feel like the kid might resent that, you know, maybe not,

956
00:47:24,600 --> 00:47:27,920
Speaker 1: but will they when they're twenty years old and their

957
00:47:27,920 --> 00:47:30,560
Speaker 1: father died when they were you know, who knows how

958
00:47:30,560 --> 00:47:32,480
Speaker 1: long Albacina Albertina might outlive us all.

959
00:47:32,520 --> 00:47:36,160
Speaker 2: But uh about to say Alpacina might know something that was.

960
00:47:36,280 --> 00:47:39,000
Speaker 1: Right, Well, he's eighty two, and you're like, you know,

961
00:47:39,160 --> 00:47:41,840
Speaker 1: I'm not gonna you know, but if boy, if he

962
00:47:41,920 --> 00:47:44,680
Speaker 1: lives when I'm twenty, even then he's like an old

963
00:47:44,760 --> 00:47:48,880
Speaker 1: old man. I didn't get the father experience right that

964
00:47:48,960 --> 00:47:54,399
Speaker 1: most people get, because you know, he decided he's I'm

965
00:47:54,400 --> 00:47:56,680
Speaker 1: still not shooting blanks. Let's keep going Rose.

966
00:47:57,480 --> 00:48:00,359
Speaker 2: The kid's like, oh no, my dad's assistant to please

967
00:48:00,400 --> 00:48:02,160
Speaker 2: catch with me in the yard.

968
00:48:03,600 --> 00:48:06,880
Speaker 1: Hola sentible.

969
00:48:07,239 --> 00:48:08,880
Speaker 2: I mean, I don't know. How would that make you

970
00:48:08,920 --> 00:48:11,680
Speaker 2: feel if your mom was eighty two and started dating

971
00:48:12,080 --> 00:48:12,960
Speaker 2: someone younger than you.

972
00:48:13,360 --> 00:48:16,400
Speaker 1: Oh, I mean, go for it, you know whatever.

973
00:48:16,600 --> 00:48:19,320
Speaker 2: You're like, hey, stepdad, you're thirty.

974
00:48:19,520 --> 00:48:22,440
Speaker 1: Well, I certainly wouldn't refer to that guy as my stepdad,

975
00:48:22,760 --> 00:48:25,759
Speaker 1: to him as Frank or whatever his name is. Like,

976
00:48:25,800 --> 00:48:29,320
Speaker 1: my mom would date a Frank? Are you kidding me? Never?

977
00:48:29,640 --> 00:48:32,760
Speaker 1: Not ever, all offense to the Frank to the world.

978
00:48:33,040 --> 00:48:35,320
Speaker 2: No, there's a guy Frank listening right now who's.

979
00:48:35,040 --> 00:48:37,319
Speaker 1: Like, damn, yeah, No, it's not about the name Frank.

980
00:48:37,400 --> 00:48:38,440
Speaker 1: It's just like, I know my.

981
00:48:38,440 --> 00:48:41,520
Speaker 2: Mother, she's got a problem with Frank.

982
00:48:41,560 --> 00:48:44,520
Speaker 1: She's gonna message me in five days and be like,

983
00:48:44,840 --> 00:48:50,680
Speaker 1: my first boyfriend was Frank Giberaldi. Thank you very much, Gibraldi.

984
00:48:50,840 --> 00:48:53,040
Speaker 1: I think I made that name up, but well, it

985
00:48:53,120 --> 00:48:53,880
Speaker 1: definitely made it up.

986
00:48:53,880 --> 00:48:57,080
Speaker 2: But anyway, I don't know, Maybe I'm being judgmental. A

987
00:48:57,160 --> 00:49:01,680
Speaker 2: little grossed out by it. Sorry, al, I think it's weird. Sorry, Nor,

988
00:49:01,800 --> 00:49:04,360
Speaker 2: I think it's weird if we don't have babies with

989
00:49:04,400 --> 00:49:07,880
Speaker 2: senior citizens. I don't know as well, Just I don't know.

990
00:49:07,920 --> 00:49:08,560
Speaker 2: I think it's weird.

991
00:49:08,800 --> 00:49:10,800
Speaker 1: We all set our own boundaries and rules.

992
00:49:12,400 --> 00:49:14,160
Speaker 2: I've never fallen in love with the senior citizens, so

993
00:49:14,200 --> 00:49:14,719
Speaker 2: what do I know?

994
00:49:14,920 --> 00:49:17,520
Speaker 1: Yeah, and I can't say that al Pacino will love

995
00:49:17,600 --> 00:49:20,359
Speaker 1: that kid with all of his faculties.

996
00:49:20,880 --> 00:49:23,160
Speaker 2: And at the very least, if he does die before

997
00:49:23,160 --> 00:49:26,600
Speaker 2: the kid reaches his majority or whatever, he'll have some

998
00:49:26,640 --> 00:49:29,160
Speaker 2: money to inherit and so on, like he won't be

999
00:49:29,239 --> 00:49:31,560
Speaker 2: left wheeling in the breeze or something.

1000
00:49:31,719 --> 00:49:34,880
Speaker 1: Likely true. Let's see al Pacino. Net Worth been real

1001
00:49:34,920 --> 00:49:38,320
Speaker 1: obsessed with looking up networths of celebrities lately one hundred

1002
00:49:38,360 --> 00:49:44,640
Speaker 1: and twenty million dollars estimated whatever the internet is worth

1003
00:49:44,680 --> 00:49:45,320
Speaker 1: for information.

1004
00:49:45,760 --> 00:49:49,160
Speaker 2: I know, I never really understand how they get that number.

1005
00:49:49,400 --> 00:49:51,920
Speaker 1: They just hack your bank account, I guess now. It's

1006
00:49:51,960 --> 00:49:53,400
Speaker 1: a lot of just like, well, if you made this

1007
00:49:53,440 --> 00:49:55,879
Speaker 1: many movies on average, your salary is this much?

1008
00:49:56,040 --> 00:49:58,200
Speaker 2: You know, well, Networth has to do your assets. Sure,

1009
00:49:58,200 --> 00:49:59,480
Speaker 2: they're like what houses do they own?

1010
00:49:59,520 --> 00:50:02,759
Speaker 1: And so on. But yeah, still, something tells me how,

1011
00:50:02,800 --> 00:50:07,520
Speaker 1: but you knows four children are going to be okay financially.

1012
00:50:07,200 --> 00:50:10,879
Speaker 2: Financially at least, so I guess whatever. I think it's weird,

1013
00:50:10,880 --> 00:50:15,960
Speaker 2: but anyway, congratulations, I guess the happy couple for their

1014
00:50:16,160 --> 00:50:17,440
Speaker 2: I'm sure happy event.

1015
00:50:17,520 --> 00:50:20,640
Speaker 1: That Al and Nor are living. Are listening right now.

1016
00:50:20,960 --> 00:50:22,359
Speaker 1: They are very grateful for your.

1017
00:50:22,640 --> 00:50:25,080
Speaker 2: For your well wishes, and I'm sorry to be judgmental.

1018
00:50:25,360 --> 00:50:25,680
Speaker 1: Nor.

1019
00:50:25,760 --> 00:50:26,840
Speaker 2: You know you do you girl?

1020
00:50:27,040 --> 00:50:32,000
Speaker 1: Okay, Hey, let's let's close out this little series by

1021
00:50:32,000 --> 00:50:35,440
Speaker 1: getting really angry. Oh Pepe want to get mad about

1022
00:50:35,440 --> 00:50:36,560
Speaker 1: some legislation.

1023
00:50:36,840 --> 00:50:40,120
Speaker 2: Okay, there's so much to get mad about. What's funny thing?

1024
00:50:40,800 --> 00:50:45,040
Speaker 1: Well, here's a that this one's actually a little complicated

1025
00:50:45,080 --> 00:50:49,719
Speaker 1: to me. Okay, Supreme Court, you've heard of them, frustrating

1026
00:50:49,760 --> 00:50:53,560
Speaker 1: collection of unelected people who seem to dictate everything we

1027
00:50:53,600 --> 00:50:58,719
Speaker 1: can and can't do in our lives. They recently legalized

1028
00:50:58,880 --> 00:51:04,680
Speaker 1: discrimination again LGBTQ plus people. Basically, they ruled in favor

1029
00:51:04,680 --> 00:51:06,960
Speaker 1: of a web designer who claimed it was against their

1030
00:51:07,000 --> 00:51:10,040
Speaker 1: religion to provide services for his same sex couple.

1031
00:51:10,040 --> 00:51:12,920
Speaker 2: When in fact, and this might surprise some listeners, so

1032
00:51:13,080 --> 00:51:15,560
Speaker 2: hold on to your button yeah, but in fact, there

1033
00:51:15,680 --> 00:51:20,360
Speaker 2: is not one single commandment about web design that was

1034
00:51:20,360 --> 00:51:21,719
Speaker 2: brought down from the Mount.

1035
00:51:23,400 --> 00:51:26,319
Speaker 1: Moses. Moses was not like thou shalt not great.

1036
00:51:27,080 --> 00:51:29,840
Speaker 2: Yeah, that shalt not code for homosexuals.

1037
00:51:30,360 --> 00:51:33,200
Speaker 1: It was the eleventh. It was the on the nobody

1038
00:51:33,239 --> 00:51:36,960
Speaker 1: turned the tablet over. There was actually another ten commandments on.

1039
00:51:36,960 --> 00:51:39,400
Speaker 2: There isn't that a where he has three tablets and

1040
00:51:39,440 --> 00:51:39,759
Speaker 2: he drives?

1041
00:51:40,120 --> 00:51:43,719
Speaker 1: Yeah, that's the history of the world. Yeah, I have

1042
00:51:43,800 --> 00:51:48,200
Speaker 1: the fifteen commit uh, the ten Commandments.

1043
00:51:49,520 --> 00:51:52,920
Speaker 2: Well, the one about coding clearly was broken. So yeah,

1044
00:51:53,280 --> 00:51:54,640
Speaker 2: I still don't think it counts.

1045
00:51:54,960 --> 00:51:57,200
Speaker 1: No, it's interesting to me. And that's why I say

1046
00:51:57,200 --> 00:52:01,919
Speaker 1: this one's a little complicated because there are people, if

1047
00:52:01,960 --> 00:52:05,080
Speaker 1: I was a web designer whom I would prefer not

1048
00:52:05,640 --> 00:52:10,280
Speaker 1: to design websites for. And I wouldn't want Brett Kavanaugh

1049
00:52:10,360 --> 00:52:12,520
Speaker 1: coming in and telling me, well, you have to make

1050
00:52:12,560 --> 00:52:16,240
Speaker 1: that Nazi a website, So you need to And again

1051
00:52:16,560 --> 00:52:20,120
Speaker 1: and that's not to compare Nazis to homosexuals, because it

1052
00:52:20,160 --> 00:52:24,160
Speaker 1: was a very very different situation. So you want to

1053
00:52:24,200 --> 00:52:27,600
Speaker 1: be able to kind of have these this clarity in

1054
00:52:27,680 --> 00:52:31,080
Speaker 1: these broad strokes they're trying to paint, right, But I

1055
00:52:31,120 --> 00:52:36,280
Speaker 1: think The concern here is that you're setting precedents that say, okay,

1056
00:52:36,360 --> 00:52:38,880
Speaker 1: well today you can tell someone well, I'm not going

1057
00:52:38,920 --> 00:52:41,359
Speaker 1: to design a website for you because you're gay, and

1058
00:52:41,400 --> 00:52:45,239
Speaker 1: then they use that ruling to say, oh, well, I'm

1059
00:52:45,280 --> 00:52:47,399
Speaker 1: not going to provide healthcare for you because you're gay.

1060
00:52:47,880 --> 00:52:51,240
Speaker 1: And now I'm not going to let you into the

1061
00:52:51,280 --> 00:52:53,719
Speaker 1: Best Buy because you're gay, Like I'm not going to

1062
00:52:53,880 --> 00:52:56,600
Speaker 1: rent you this apartment. Like, at what point does that snowball?

1063
00:52:57,960 --> 00:53:01,080
Speaker 1: What sort of precedent does that set for huge discrimination on.

1064
00:53:01,120 --> 00:53:03,399
Speaker 2: The line exactly? And you can just always say it's

1065
00:53:03,400 --> 00:53:06,279
Speaker 2: against my religion. Oh, it's against my religion, like you know,

1066
00:53:06,560 --> 00:53:08,920
Speaker 2: you can say any number of things or against your religion,

1067
00:53:09,040 --> 00:53:09,760
Speaker 2: like right.

1068
00:53:09,680 --> 00:53:12,560
Speaker 1: Especially when again, like you said, there's nothing in there

1069
00:53:12,600 --> 00:53:13,919
Speaker 1: about that. No.

1070
00:53:14,600 --> 00:53:18,760
Speaker 2: And I also don't really understand why the web designer

1071
00:53:18,840 --> 00:53:22,319
Speaker 2: needs to disclose why they won't make a website for

1072
00:53:22,400 --> 00:53:25,680
Speaker 2: your like in your example, if there was someone come

1073
00:53:25,719 --> 00:53:28,680
Speaker 2: to us like, oh, make me a website. I'm a Nazi,

1074
00:53:28,840 --> 00:53:32,720
Speaker 2: and I want it to specifically say ss reek whatever

1075
00:53:33,160 --> 00:53:35,640
Speaker 2: or horrible shit. I feel like we don't even need

1076
00:53:35,680 --> 00:53:38,080
Speaker 2: to say I don't have no problem, I've got a problem.

1077
00:53:38,120 --> 00:53:39,680
Speaker 2: With you and I don't want to help you. I

1078
00:53:39,719 --> 00:53:40,920
Speaker 2: feel like you can just be like, I don't have

1079
00:53:40,960 --> 00:53:43,600
Speaker 2: time for this project right like I don't. No one

1080
00:53:43,640 --> 00:53:46,279
Speaker 2: ever has to do anything right, has to provide any

1081
00:53:46,320 --> 00:53:50,120
Speaker 2: business service to anyone. They can either charge too much

1082
00:53:50,200 --> 00:53:52,359
Speaker 2: that they go off somewhere else, or they can say

1083
00:53:52,360 --> 00:53:54,319
Speaker 2: I don't have the capacity for this project right now.

1084
00:53:55,080 --> 00:53:58,160
Speaker 2: Why do you need a legal protection to say I

1085
00:53:58,160 --> 00:54:00,799
Speaker 2: don't like you and your lifestyle like that? What does

1086
00:54:00,800 --> 00:54:01,840
Speaker 2: that have to do with anything?

1087
00:54:01,880 --> 00:54:04,160
Speaker 1: Because they wanted to make a fuss about it, and

1088
00:54:04,200 --> 00:54:08,240
Speaker 1: that that's why it's it feels like deliberate harm because

1089
00:54:08,960 --> 00:54:11,160
Speaker 1: they they they could have just said I can't make

1090
00:54:11,160 --> 00:54:15,240
Speaker 1: this for you. Yeah, but they whoever decided the reason

1091
00:54:15,480 --> 00:54:17,640
Speaker 1: that this person isn't designing a website for them is

1092
00:54:17,640 --> 00:54:19,319
Speaker 1: because they're gay. It may have been the couple may

1093
00:54:19,320 --> 00:54:21,880
Speaker 1: have interpreted that, or they may have said it very bluntly,

1094
00:54:23,120 --> 00:54:26,640
Speaker 1: but in either case, it was very deliberately brought to

1095
00:54:26,760 --> 00:54:31,200
Speaker 1: the Supreme Court as a way to kind of discriminate

1096
00:54:31,280 --> 00:54:34,040
Speaker 1: against gay people. I mean, that's sort of the intention there, because,

1097
00:54:34,080 --> 00:54:35,920
Speaker 1: like you said, otherwise it could just be totally brushed

1098
00:54:35,920 --> 00:54:38,399
Speaker 1: off and ignored and just like, yeah, I can't do this.

1099
00:54:38,400 --> 00:54:41,719
Speaker 2: For you, by right, I don't. I don't understand why

1100
00:54:41,800 --> 00:54:44,000
Speaker 2: you feel like you need the legal protection to be

1101
00:54:44,040 --> 00:54:47,560
Speaker 2: able to say, yeah, gross, you're gross. Yeah, you know,

1102
00:54:47,640 --> 00:54:50,279
Speaker 2: I don't get it, because again, there's a million ways

1103
00:54:50,280 --> 00:54:53,040
Speaker 2: to turn down business that have nothing to do with

1104
00:54:53,680 --> 00:54:57,719
Speaker 2: I don't know that doesn't require Supreme Court decision, I guess. Yeah,

1105
00:54:58,000 --> 00:54:59,759
Speaker 2: But as you say, it's a real it's a real

1106
00:55:00,120 --> 00:55:05,120
Speaker 2: concern because allowing that kind of it's my religious freedom

1107
00:55:05,680 --> 00:55:10,239
Speaker 2: to deny someone else's service because I don't like who

1108
00:55:10,280 --> 00:55:13,000
Speaker 2: they are, their lifestyle or whatever. They can apply that

1109
00:55:13,040 --> 00:55:15,799
Speaker 2: to so so, so, so so many things.

1110
00:55:15,920 --> 00:55:19,520
Speaker 1: Yeah, because that old thing of like your freedom of

1111
00:55:19,560 --> 00:55:23,320
Speaker 1: religion means you can live your life how you feel

1112
00:55:23,320 --> 00:55:26,720
Speaker 1: like your code dictates that you live, but you can't

1113
00:55:26,800 --> 00:55:29,839
Speaker 1: use your religion to dictate how other people should live. Right,

1114
00:55:29,960 --> 00:55:33,920
Speaker 1: And that's you know, yeah, that's where the line gets

1115
00:55:33,960 --> 00:55:36,439
Speaker 1: not blurry, because again I think there's a big, fat,

1116
00:55:36,680 --> 00:55:41,640
Speaker 1: black bald line there, right, But it's just about at

1117
00:55:41,640 --> 00:55:44,239
Speaker 1: some point we have an intersection of rights, right, Like,

1118
00:55:44,239 --> 00:55:46,239
Speaker 1: you're free to do this thing, you're free to that thing,

1119
00:55:46,760 --> 00:55:51,080
Speaker 1: but if you doing this thing interferes with them doing

1120
00:55:51,120 --> 00:55:53,640
Speaker 1: that thing, then we have to have a body come

1121
00:55:53,680 --> 00:55:57,120
Speaker 1: in look at it and say, you've got to let

1122
00:55:57,160 --> 00:56:00,719
Speaker 1: them have their freedoms here, you're infringing on that. You

1123
00:56:00,840 --> 00:56:02,880
Speaker 1: all know how the law works. I don't even explain

1124
00:56:02,880 --> 00:56:04,040
Speaker 1: it to you, and I'm no expert.

1125
00:56:04,160 --> 00:56:06,160
Speaker 2: This is a weird one too because it's web design,

1126
00:56:06,440 --> 00:56:09,960
Speaker 2: which I feel is a job that can be done remotely. Yeah,

1127
00:56:10,000 --> 00:56:13,439
Speaker 2: so like of casting our minds back a few years

1128
00:56:13,440 --> 00:56:15,960
Speaker 2: there was that case about the baker who didn't want

1129
00:56:15,960 --> 00:56:17,839
Speaker 2: to make a wedding cake for a gay couple, and

1130
00:56:17,840 --> 00:56:20,520
Speaker 2: that feels a little different because they might live in

1131
00:56:20,520 --> 00:56:22,480
Speaker 2: a small town. There's only like one place to go

1132
00:56:22,520 --> 00:56:24,120
Speaker 2: get your wedding cake, you know what I'm saying. So

1133
00:56:24,160 --> 00:56:26,000
Speaker 2: you would not be able to get a cake from

1134
00:56:26,000 --> 00:56:27,920
Speaker 2: someone else right the way you can. Oh, I can

1135
00:56:27,960 --> 00:56:30,680
Speaker 2: go online and find a web designer on fiver that

1136
00:56:30,840 --> 00:56:34,719
Speaker 2: lives five thousand miles away and they'll make my website

1137
00:56:34,719 --> 00:56:36,520
Speaker 2: and they don't care, you know what I mean. But

1138
00:56:36,640 --> 00:56:39,040
Speaker 2: the bakery thing felt more of a local situation where

1139
00:56:39,040 --> 00:56:41,080
Speaker 2: you do have to start saying, uh oh, there's some

1140
00:56:41,160 --> 00:56:44,480
Speaker 2: places that are small and they're rural and they have

1141
00:56:44,800 --> 00:56:47,799
Speaker 2: their very maybe old school and their traditions, and they

1142
00:56:47,800 --> 00:56:50,759
Speaker 2: haven't really moved on with their ideas, and there's gay

1143
00:56:50,800 --> 00:56:53,200
Speaker 2: people who live there and they deserve to have the

1144
00:56:53,280 --> 00:56:55,960
Speaker 2: services available to them that everyone else has available to

1145
00:56:56,000 --> 00:56:59,040
Speaker 2: them in their area. Well, that case, I guess was

1146
00:56:59,560 --> 00:57:02,120
Speaker 2: ruled in favor of the baker. They were the Scotis

1147
00:57:02,120 --> 00:57:04,759
Speaker 2: did say that the baker was not could not be

1148
00:57:04,840 --> 00:57:07,240
Speaker 2: forced to make a cake for a same sex wedding,

1149
00:57:08,239 --> 00:57:11,880
Speaker 2: but it was applied very specifically to that one case,

1150
00:57:12,200 --> 00:57:14,560
Speaker 2: so it did not There was no, it couldn't be

1151
00:57:14,880 --> 00:57:17,440
Speaker 2: Probably why broadly to florists and so on?

1152
00:57:17,880 --> 00:57:17,960
Speaker 1: Right?

1153
00:57:18,080 --> 00:57:20,960
Speaker 2: Right, Well, I will say that the baker in Colorado

1154
00:57:21,360 --> 00:57:23,960
Speaker 2: and this web designer, I would like to thank them

1155
00:57:24,080 --> 00:57:27,720
Speaker 2: very much for letting us know that they suck. We

1156
00:57:27,760 --> 00:57:30,440
Speaker 2: should not work with them at any time or buy

1157
00:57:30,520 --> 00:57:33,800
Speaker 2: anything from them ever. Also in Supreme Court news, We're

1158
00:57:33,840 --> 00:57:35,160
Speaker 2: not going to get too into it, but I will

1159
00:57:35,160 --> 00:57:39,600
Speaker 2: say that our friend reverend doctor Polly Murray would probably

1160
00:57:39,640 --> 00:57:43,280
Speaker 2: not approve of them striking down affirmative affirmative action.

1161
00:57:43,760 --> 00:57:46,760
Speaker 1: Yeah, probably not doubtful. Yeah, again, we could spend a

1162
00:57:46,760 --> 00:57:49,320
Speaker 1: long time down with that, spent a long time on that,

1163
00:57:49,360 --> 00:57:53,040
Speaker 1: but it's not romance but we did talk about Reverend

1164
00:57:53,040 --> 00:57:53,880
Speaker 1: doctor Polly Murray.

1165
00:57:54,080 --> 00:57:56,600
Speaker 2: That's right, and she I mean, in that episode we

1166
00:57:56,640 --> 00:58:00,480
Speaker 2: had to discuss about the multiple layers of discriminated that

1167
00:58:00,560 --> 00:58:03,560
Speaker 2: she was fighting again, and then of course also her

1168
00:58:03,600 --> 00:58:06,400
Speaker 2: own feelings about her own gender, which was a whole

1169
00:58:06,440 --> 00:58:08,600
Speaker 2: extra layer that. You know. She was like, I don't

1170
00:58:08,600 --> 00:58:10,920
Speaker 2: even have time to get into that. I'm too busy

1171
00:58:10,960 --> 00:58:13,760
Speaker 2: being black and a woman trying to survive in that

1172
00:58:13,880 --> 00:58:16,720
Speaker 2: so I can't even get into that part of my identity.

1173
00:58:16,760 --> 00:58:21,040
Speaker 1: But well, let's not leave on a super downer note. No, okay,

1174
00:58:21,080 --> 00:58:27,160
Speaker 1: we have some good LGBTQ plus news in Greece. Their

1175
00:58:27,200 --> 00:58:31,320
Speaker 1: new prime minister has pledged to legalize same sex marriage

1176
00:58:31,560 --> 00:58:36,240
Speaker 1: day bab Greece gets to that soon and they stick

1177
00:58:36,280 --> 00:58:42,200
Speaker 1: with that pledge. Interesting to me because of course, ancient

1178
00:58:44,080 --> 00:58:50,000
Speaker 1: the what I'll jokingly called the birthplace of homosexuality, not

1179
00:58:50,080 --> 00:58:54,240
Speaker 1: only democracy was friends, but they're they're known, They're ancient.

1180
00:58:54,280 --> 00:58:56,080
Speaker 1: Greece is known for it, So you're kind of like,

1181
00:58:56,320 --> 00:58:58,240
Speaker 1: you want to hope that they'd be down. But I

1182
00:58:58,240 --> 00:58:59,640
Speaker 1: guess we all forget our histories.

1183
00:58:59,640 --> 00:59:03,640
Speaker 2: Sometimes we're right or violently goes as much in the

1184
00:59:03,640 --> 00:59:07,720
Speaker 2: opposite as we can that happens too. But that's great news.

1185
00:59:07,800 --> 00:59:10,040
Speaker 1: That is great news. Hopefully, you know, we'll keep an

1186
00:59:10,040 --> 00:59:12,880
Speaker 1: eye on that for you and report back when it's official. Yeah.

1187
00:59:12,920 --> 00:59:17,800
Speaker 2: And another celebrity news, Oh, celebrity lgg LGBT news. Jay

1188
00:59:17,920 --> 00:59:23,040
Speaker 2: Z's mom, Gloria Carter married her longtime partner Roxane Wiltshire. Ah,

1189
00:59:23,680 --> 00:59:24,680
Speaker 2: so that's a good thing.

1190
00:59:24,800 --> 00:59:25,720
Speaker 1: That's a good time.

1191
00:59:26,160 --> 00:59:29,280
Speaker 2: Oh, you know, looking cool as hale?

1192
00:59:29,840 --> 00:59:33,280
Speaker 1: Yeah, I mean, can you if you're jay Z's mom,

1193
00:59:34,000 --> 00:59:36,680
Speaker 1: is it still pretty cool that jay Z came to

1194
00:59:36,720 --> 00:59:37,160
Speaker 1: your wedding?

1195
00:59:39,240 --> 00:59:42,680
Speaker 2: She's like, Sean better be at my wedding. I burst

1196
00:59:42,800 --> 00:59:44,840
Speaker 2: that boy, he'd be nothing without me.

1197
00:59:45,160 --> 00:59:48,880
Speaker 1: True, literally literally, man, I hate that. That's kind of

1198
00:59:48,880 --> 00:59:51,959
Speaker 1: our last story because any jay Z story, I would

1199
00:59:52,000 --> 00:59:54,400
Speaker 1: love to say, all right, well let's go on to

1200
00:59:54,520 --> 00:59:56,600
Speaker 1: the next one, next one, but we don't have a

1201
00:59:56,680 --> 00:59:57,280
Speaker 1: next one.

1202
00:59:57,880 --> 01:00:00,000
Speaker 2: Well, we'll have to go on to the next episode.

1203
01:00:00,080 --> 01:00:02,360
Speaker 1: To the next episode. I think we've kept you all

1204
01:00:02,400 --> 01:00:07,440
Speaker 1: in this episode slash these episodes long enough. But I

1205
01:00:07,520 --> 01:00:10,200
Speaker 1: love when we get to kind of dip our toes

1206
01:00:10,240 --> 01:00:14,400
Speaker 1: into the current events, not get too sucked into history

1207
01:00:14,400 --> 01:00:18,480
Speaker 1: for a minute here, because ridiculous romance it's always happening.

1208
01:00:18,480 --> 01:00:21,800
Speaker 2: So true every day, every day in every way.

1209
01:00:22,040 --> 01:00:23,400
Speaker 1: And of course we'll have to keep an eye on

1210
01:00:23,440 --> 01:00:26,120
Speaker 1: the AI stuff as it moves forward, because that's rapidly

1211
01:00:26,160 --> 01:00:27,000
Speaker 1: advancing too.

1212
01:00:27,400 --> 01:00:29,880
Speaker 2: Oh yeah, And I mean and this stuff about ethics

1213
01:00:29,920 --> 01:00:34,600
Speaker 2: and stuff, not just of course with AI sex thoughts consenting,

1214
01:00:34,720 --> 01:00:38,439
Speaker 2: but like ethics and AI period and how AI makes

1215
01:00:38,480 --> 01:00:41,240
Speaker 2: decisions and all of that discrimination that we already have

1216
01:00:41,440 --> 01:00:45,000
Speaker 2: in us being programmed into it right without us realizing it.

1217
01:00:45,440 --> 01:00:47,880
Speaker 2: All that stuff is very fascinating to me, and it's

1218
01:00:47,960 --> 01:00:51,040
Speaker 2: kind of scary a little bit. And yeah, I think

1219
01:00:51,080 --> 01:00:53,080
Speaker 2: you're right. Well, definitely keep our eyes on that one.

1220
01:00:53,200 --> 01:00:57,160
Speaker 1: It's, as I've said many times, for many issues that

1221
01:00:57,200 --> 01:00:59,880
Speaker 1: we face and discuss and sort of the discourse going

1222
01:01:00,080 --> 01:01:03,000
Speaker 1: on around us, you know, across social media, but also

1223
01:01:03,040 --> 01:01:05,520
Speaker 1: just in the real world in general. We're living in

1224
01:01:05,760 --> 01:01:08,760
Speaker 1: a conversation that's going to go on longer than our lifetimes.

1225
01:01:09,280 --> 01:01:13,080
Speaker 1: So I think it's important to listen and engage, not

1226
01:01:13,120 --> 01:01:17,000
Speaker 1: necessarily say I have the answer, because that'll probably change

1227
01:01:17,400 --> 01:01:21,080
Speaker 1: within your lifetime and we're just we're figuring it out.

1228
01:01:21,120 --> 01:01:23,720
Speaker 1: Everybody in the world moves faster than our brains do.

1229
01:01:24,160 --> 01:01:27,720
Speaker 2: I'm trying so hard to be more like Walt Whitman

1230
01:01:28,720 --> 01:01:34,320
Speaker 2: and be curious not judgmental. Yeah, it's really hard because

1231
01:01:34,440 --> 01:01:37,040
Speaker 2: we do, like and especially having a podcast, right, our

1232
01:01:37,080 --> 01:01:40,200
Speaker 2: whole thing is to have an opinion about something, even

1233
01:01:40,240 --> 01:01:44,120
Speaker 2: if it's not terribly informed. So it's hard to not

1234
01:01:44,320 --> 01:01:46,840
Speaker 2: want to just jump to a judgment of some kind

1235
01:01:46,880 --> 01:01:50,240
Speaker 2: and dig your heels in and everything. Instead just be like,

1236
01:01:50,320 --> 01:01:53,000
Speaker 2: I'm ready to learn more. I'm ready to keep my

1237
01:01:53,520 --> 01:01:56,400
Speaker 2: mind open. It's really really hard, but I am trying

1238
01:01:56,560 --> 01:02:02,040
Speaker 2: so hard to try. I just want to lear to learn.

1239
01:02:02,160 --> 01:02:04,520
Speaker 1: It's true, and there's nothing wrong with having strong feelings

1240
01:02:04,520 --> 01:02:07,200
Speaker 1: about something either. Really, it just comes down to how

1241
01:02:07,240 --> 01:02:11,000
Speaker 1: much you're dictating other people's existence, right, and if and

1242
01:02:11,080 --> 01:02:15,240
Speaker 1: that's by and large, you know, I can I got

1243
01:02:15,240 --> 01:02:17,680
Speaker 1: a real problem with a lot of things in this

1244
01:02:17,720 --> 01:02:19,080
Speaker 1: world that a lot of people find a lot of

1245
01:02:19,120 --> 01:02:22,600
Speaker 1: joy in. So I'm welcome to hate that crap and

1246
01:02:22,640 --> 01:02:25,520
Speaker 1: they're welcome to go enjoy it. Right. That's the other

1247
01:02:25,560 --> 01:02:27,880
Speaker 1: thing is that I think, like we often are like,

1248
01:02:28,040 --> 01:02:31,600
Speaker 1: let people love things, yeah, and I'm like, also, let's

1249
01:02:32,040 --> 01:02:34,160
Speaker 1: let people hate things. I mean, to a certain degree.

1250
01:02:34,160 --> 01:02:37,959
Speaker 1: Obviously there's discrimination, but for example, Like I'm a big

1251
01:02:38,920 --> 01:02:43,960
Speaker 1: Marvel movie fan. Yep, generally we won't get into it lately.

1252
01:02:44,040 --> 01:02:48,880
Speaker 1: But but but then I see people like I can't

1253
01:02:48,920 --> 01:02:51,320
Speaker 1: stand it. I sit through that, and I'm like, I

1254
01:02:51,360 --> 01:02:55,000
Speaker 1: don't care. I don't need to convince you to enjoy it.

1255
01:02:55,040 --> 01:02:57,600
Speaker 1: I always rather like something than not, and I always

1256
01:02:57,600 --> 01:02:59,680
Speaker 1: want people to have a similar experience to me when

1257
01:02:59,680 --> 01:03:03,160
Speaker 1: something was positive. But it'd be real boring if all

1258
01:03:03,160 --> 01:03:04,959
Speaker 1: we ever liked was all the same thing all the time.

1259
01:03:05,240 --> 01:03:08,240
Speaker 2: That's so true, I mean, you know, And that's I guess.

1260
01:03:08,240 --> 01:03:10,360
Speaker 2: That's what I'm trying to do. More is is say, okay,

1261
01:03:10,480 --> 01:03:14,640
Speaker 2: think more, like why why does someone like that thing

1262
01:03:14,680 --> 01:03:17,680
Speaker 2: that I don't like? What is attractive about it? At

1263
01:03:17,760 --> 01:03:20,280
Speaker 2: least let me understand it. I might not change my

1264
01:03:20,600 --> 01:03:24,360
Speaker 2: feeling about it whatsoever. But like I hate mushrooms, for example,

1265
01:03:24,880 --> 01:03:26,440
Speaker 2: but I know that they add a lot of flavor

1266
01:03:26,520 --> 01:03:28,680
Speaker 2: to things, you know, I understand their kind of meaty,

1267
01:03:28,760 --> 01:03:30,240
Speaker 2: they have a good you know, like I get it.

1268
01:03:30,320 --> 01:03:33,640
Speaker 2: I understand why you like mushrooms and I don't like them.

1269
01:03:34,320 --> 01:03:36,160
Speaker 2: So it's like, I know there's and that's such a

1270
01:03:36,600 --> 01:03:38,680
Speaker 2: such an easy thing to not care about. I'm not

1271
01:03:38,800 --> 01:03:41,120
Speaker 2: fight about, but that like people are like that with

1272
01:03:41,160 --> 01:03:43,360
Speaker 2: cultural stuff like movies and stuff, they.

1273
01:03:43,480 --> 01:03:44,440
Speaker 1: Get really upset.

1274
01:03:44,600 --> 01:03:47,480
Speaker 2: Yeah, well you can like in the friendships sometimes for

1275
01:03:47,600 --> 01:03:48,560
Speaker 2: a movie, but you can't.

1276
01:03:48,560 --> 01:03:52,120
Speaker 1: And the Internet of course obviously rewards.

1277
01:03:51,680 --> 01:03:53,640
Speaker 2: Of course that sort of engage.

1278
01:03:53,680 --> 01:03:56,560
Speaker 1: I'll say, on the flip side of your mushrooms thing,

1279
01:03:56,840 --> 01:04:00,400
Speaker 1: you hate mushrooms and I love mushrooms. Also, you love

1280
01:04:00,520 --> 01:04:02,320
Speaker 1: mushrooms and I hate mushrooms.

1281
01:04:02,320 --> 01:04:04,919
Speaker 2: You know, right, So that's also true. Do you really

1282
01:04:04,960 --> 01:04:10,160
Speaker 2: like mushrooms? Rug? So, I think we've gone through all

1283
01:04:10,160 --> 01:04:11,840
Speaker 2: the headlines that we had.

1284
01:04:11,840 --> 01:04:14,200
Speaker 1: But there's more So if you guys see something that

1285
01:04:14,240 --> 01:04:16,960
Speaker 1: catches your eye makes you think of us, like that

1286
01:04:17,040 --> 01:04:19,480
Speaker 1: makes us feel warm. So let us know. Shout had

1287
01:04:19,520 --> 01:04:22,560
Speaker 1: a message tag us somewhere. Yeah that you see a

1288
01:04:22,600 --> 01:04:24,520
Speaker 1: cool story and we'll go take a look at it.

1289
01:04:24,640 --> 01:04:26,160
Speaker 1: We'll get it in here as well.

1290
01:04:26,520 --> 01:04:30,160
Speaker 2: If you're Sue something come.

1291
01:04:29,960 --> 01:04:34,200
Speaker 1: On and hot tonight. That one's for you, Larissa, for

1292
01:04:34,240 --> 01:04:39,720
Speaker 1: you my other B nine nine fan. All right, well please,

1293
01:04:39,840 --> 01:04:42,520
Speaker 1: y'll do send us your thoughts and stuff to our

1294
01:04:42,520 --> 01:04:44,840
Speaker 1: email address ridic romance at gmail dot.

1295
01:04:44,680 --> 01:04:47,880
Speaker 2: Com, yep, or we're on Instagram. I'm at dayanamite boom.

1296
01:04:47,720 --> 01:04:49,439
Speaker 1: I'm at Oh great, it's eli show.

1297
01:04:49,480 --> 01:04:50,680
Speaker 2: It's at ridic romance.

1298
01:04:50,920 --> 01:04:52,720
Speaker 1: Hit us up, let us know what you got. Thanks

1299
01:04:52,720 --> 01:04:55,000
Speaker 1: for listening and we will catch you all the next episode.

1300
01:04:55,160 --> 01:04:59,040
Speaker 3: Love you bye solo friends, it's time to go.

1301
01:04:59,600 --> 01:04:59,840
Speaker 2: Thanks.

1302
01:05:00,000 --> 01:05:04,000
Speaker 3: If you are listening to our show, tell your friends, neighbors, uncles,

1303
01:05:04,000 --> 01:05:05,760
Speaker 3: and dance to listen to our show.

1304
01:05:05,880 --> 01:05:09,480
Speaker 2: Ridiculous Wealth Dance m