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Speaker 1: Welcome to Brief Recess. I'm Michael Foot, I'm Melissa Malbranch.

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Speaker 1: Today we're going to be talking about local elections and

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Speaker 1: how they often matter most. We're going to talk about

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Speaker 1: cities we love to hate, al Amilissa's estate sales, how

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Speaker 1: it's America's two hundred and fiftieth dumpster fire birthday. Jeff

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Speaker 1: the Giant Fern and other A list celebrities do make appearance.

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Speaker 1: We do talk about them. We have a discussion about

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Speaker 1: the famous drag queen Patty Gonia and the trademark lawsuit

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Speaker 1: with the company Patagonia. And we're going to read all

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Speaker 1: your show reviews, tales from the dms. Get into it

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Speaker 1: and don't get it twisted. Have you forgotten a stranger's car?

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Speaker 2: Have I gotten what now?

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Speaker 1: Like when you get in a stranger's car accidentally. I

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Speaker 1: feel like this happens to a lot of people common below.

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Speaker 1: If you've gotten a stranger's car, it happens to me

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Speaker 1: all the time.

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Speaker 2: You mean, like like you think of the Uber lift situation.

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Speaker 1: I gotten uber once. There was a baby in the

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Speaker 1: back seat.

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Speaker 2: One time.

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Speaker 1: It was Halloween. It was dressed as like a goblin,

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Speaker 1: and I was like well it was late and I

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Speaker 1: was in a costume too. It was it was alarming

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Speaker 1: for me. No, he was like, get out, no, there

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Speaker 1: was no time for his selfie. We're at a stoplight.

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Speaker 1: Just a man at a stoplight with a baby dressed

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Speaker 1: like a goblin his baby. Yeah, I didn't. I don't

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Speaker 1: have a baby.

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Speaker 2: No.

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Speaker 1: No.

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Speaker 3: I Actually one time I had gone to uh get

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Speaker 3: some takeout, and I left my car in front of

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Speaker 3: the spot with my car running because I was just

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Speaker 3: going to run in there. And somebody else also did

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Speaker 3: the same thing. And you know, everyone's car looks the

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Speaker 3: same now.

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Speaker 1: Especially for a Hoppin takeout joint like that. What was

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Speaker 1: the takeout?

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Speaker 2: It was like Chinese food.

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Speaker 3: And I just opened a car door, sat down and

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Speaker 3: was like, this is not my car, This is not

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Speaker 3: my car, and like and whatever it was that was

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Speaker 3: playing on the radio was so not the music that

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Speaker 3: I listened to, and it was like the Eagles or something,

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Speaker 3: and I was like, oh shit.

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Speaker 2: I mean the whole thing happened in like two seconds.

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Speaker 1: Did anyone see you in that car?

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Speaker 2: No?

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Speaker 3: No, Well what they could have a dog in there,

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Speaker 3: like anything could have happened another time. I yeah, another time,

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Speaker 3: This is really long time ago though.

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Speaker 2: I was shopping with my friend and we were outlet shopping.

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Speaker 3: And we were like going back to her car to

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Speaker 3: put our stuff in to go to the next door,

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Speaker 3: and I opened somebody else's car. This old lady was

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Speaker 3: in the passenger street, and we both screamed. My friends

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Speaker 3: Andrea and whoever this other woman the river no, no, no.

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Speaker 3: The driver of that car and my friend's andrew useless

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Speaker 3: because they are bent over, doubled with laughter.

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Speaker 2: Me I, me and the old lady.

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Speaker 1: Are screaming the person and breaking and entering into a

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Speaker 1: stranger's car screaming.

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Speaker 2: I mean, I think she screamed and she set me off.

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Speaker 1: I got in the back sit of someone's car in

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Speaker 1: New Orleans once and it was my friends were supposed

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Speaker 1: to be picking me up and I got in someone's

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Speaker 1: car and it was these like two sorority girls who

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Speaker 1: are like, who is this giant man in our car?

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Speaker 1: But that was you know, it was a college town. Yeah,

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Speaker 1: the course.

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Speaker 2: How are you? What's going on?

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Speaker 1: I'm good. Have you voted? It's voting later election day?

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Speaker 2: I'm voting after okay, okay, character, I have to tell

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Speaker 2: you a full disclosure I kind of forgot that's okay.

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Speaker 1: I did too until I saw the sign.

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Speaker 2: Yeah.

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Speaker 1: I saw the little like vote here sign in my neighborhood,

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Speaker 1: I know, and I was like, Oh, they're talking to me.

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Speaker 1: I'm supposed to vote there.

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Speaker 3: No, I actually I feel bad. I feel bad that

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Speaker 3: I am not as tuned in to smaller elections, right,

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Speaker 3: like governor, yes, mayor yes, president obviously, but like in

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Speaker 3: the smaller are very important.

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Speaker 1: They're the most important.

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Speaker 2: They're very important.

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Speaker 1: Let's get into a sidebar on this, because so many

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Speaker 1: of them are, like they're the most important ones. There's

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Speaker 1: the least amount of information on them sometimes because it's

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Speaker 1: not on they're not on CNN, not on this huge scale.

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Speaker 1: Times is an endorsing one of them, Like there isn't

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Speaker 1: a huge main stage that they're on. It's like a

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Speaker 1: little local.

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Speaker 3: It's a local election, and you you know, you're counting

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Speaker 3: on them, yeah, to put themselves in front of you.

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Speaker 3: And I will tell you, like, sometimes I'll see people

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Speaker 3: like and it's like and I go around them.

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Speaker 2: I'm like, I can't. I just don't.

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Speaker 1: Oh, I never, right, I don't.

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Speaker 2: I don't want to engage.

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Speaker 1: Ever, engage with the solicitors, the political solicitor. Maybe we

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Speaker 1: have to Literally they had for New York twelve, they

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Speaker 1: had Alex Bores and Michael Lasher their their moms were

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Speaker 1: on the street this weekend asking people to register.

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Speaker 2: Is that cute? Is that weird?

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Speaker 1: They're like, Hi, Hi, my son, My son is running. Okay,

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Speaker 1: I don't know if I want my mom out there.

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Speaker 2: I definitely don't want my mom out there. Mango, look

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Speaker 2: for my daughter.

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Speaker 1: She would do it for me. Department of Redundancy, Department,

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Speaker 1: she would do it. She would do it for me.

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Speaker 1: But yeah, I mean there was no line at my

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Speaker 1: polling station.

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Speaker 2: Well, they were talking about how the turnout is very

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Speaker 2: very low.

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Speaker 1: You just said that in such a New York accent,

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Speaker 1: did I? That's talking about how the sun out? Yeah?

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Speaker 1: That was so Queen's.

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Speaker 2: Wasn't your high school again, St Agnes?

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Speaker 1: It was very Saint Agnes from Long Island.

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Speaker 2: Not from Long Island in Queens. It was in College.

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Speaker 1: Point, College Point.

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Speaker 2: Oh, I didn't say it. The woman, This guy who

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Speaker 2: was from Boston.

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Speaker 1: Okay, Oh God.

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Speaker 2: He worked with us.

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Speaker 3: For a long time and then one day he said

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Speaker 3: something to me and I was like, let's call him Mike.

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Speaker 3: I was like, Mike, you're losing your Boston and he

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Speaker 3: was like, don't say that.

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Speaker 1: Melissa, say that Melissa.

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Speaker 2: He left, He left, he went back to He went.

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Speaker 3: Back to Boston, and now he has he's married and

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Speaker 3: he only makes girls.

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Speaker 1: Can I can I ask this?

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Speaker 2: He only makes girls? When I said to you only

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Speaker 2: make girls? And he was like, apparently.

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Speaker 1: My friends a twin and her dad used to say

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Speaker 1: he got a double yoke. It was like ew, he

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Speaker 1: would say it all the time. He thought it was

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Speaker 1: so endearing. He was a dentist.

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Speaker 2: That's weird.

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Speaker 1: Dentists send their jokes. If you are from Boston or

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Speaker 1: you live there, can you tell me why? Honestly? Like,

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Speaker 1: this is not shady. I want to know why, because

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Speaker 1: I feel like, what, what's the appeal of Boston? Because

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Speaker 1: for me, I understand sometimes people will be like I

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Speaker 1: went to New York and I don't get how you

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Speaker 1: live there? And I'm like, where'd you go? And they're

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Speaker 1: like Times Square where the eminem Store, Statue of Liberty,

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Speaker 1: Like they go to all these places that I've honestly

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Speaker 1: never been to, and so I understand why they left

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Speaker 1: feeling like New York is not the place for them.

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Speaker 1: I feel like that maybe happened to me in Boston. Okay,

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Speaker 1: the number of times have been there.

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Speaker 2: Well, when you have been to Boston, what have you

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Speaker 2: gone to do?

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Speaker 1: A toxic X? So that was the first thing I

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Speaker 1: did in Boston.

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Speaker 2: Okay, Next, what was the other reason why you went

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Speaker 2: to Boston?

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Speaker 1: That was the only reason why I went?

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Speaker 2: Oh?

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Speaker 1: No, I went there for work once or twice.

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Speaker 2: Okay. I feel like those are not I've.

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Speaker 1: Been to like some cute neighborhoods and I've been like, oh,

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Speaker 1: this is cute. But people from Boston go hard for Boston.

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Speaker 3: I think that there are certain cities where the people

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Speaker 3: go really hard for I think people go really hard

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Speaker 3: for Chicago, people go really hard for New York. People

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Speaker 3: go really hard for Philly, right. I mean I've even

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Speaker 3: seen people they go hard for Miami, and I'm like,

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Speaker 3: Alyssa goes kind of hard for my.

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Speaker 1: Hard for Miami.

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Speaker 2: Right.

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Speaker 1: But we can listen to that dizzy bitch. She's gonna customs.

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Speaker 1: She's I know, she can't remember why she likes Miami.

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Speaker 2: But she's not the only person.

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Speaker 3: And I feel like I feel actually as opposed to

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Speaker 3: the other places where I have been where I'm like, oh, yeah,

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Speaker 3: I can see why you like this place Miami.

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Speaker 1: No, I guess, like the beach is nice, but everything

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Speaker 1: miamis sinking. Yeah, it's just like a giant, glassy skyscraper

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Speaker 1: kind of like I mean.

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Speaker 2: Like some of the food is good. If you go

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Speaker 2: to like little Cuba or a little Haiti, the food

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Speaker 2: is good.

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Speaker 1: It's like outside of the beech Haerry, right, it's like it's.

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Speaker 2: Just not really super excited.

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Speaker 1: So I do feel like I maybe missed the mark

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Speaker 1: on DC. I've already made up my mind, but I

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Speaker 1: do feel like, Okay, I respect that about you.

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Speaker 2: No, you don't.

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Speaker 1: I respect your opinion. I respect that you have an opinion,

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Speaker 1: but I don't. It's getting worse. I just get down

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Speaker 1: my respect.

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Speaker 2: I think.

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Speaker 3: I think there's a difference between going to a city

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Speaker 3: doing whatever is there, and then wanting to actually like

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Speaker 3: liking it enough to live there.

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Speaker 2: Yeah right, yeah, So like before I.

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Speaker 3: Met Andre, I was thinking really really hard about moving

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Speaker 3: to Philly.

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Speaker 2: I had applied to a couple of jobs in Philly.

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Speaker 3: I looked at apartments in Philly because I felt like

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Speaker 3: Philly was like New York light, Yes, right, like more

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Speaker 3: affordable than New York, smaller than New York.

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Speaker 2: You can get to New York pretty easily from Philly.

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Speaker 1: Philly Cheese take and chopped cheese are kind of similar.

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Speaker 2: Yeah, I know, but I feel like I'm going to

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Speaker 2: go on a limb here.

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Speaker 1: I know we might get can one thing, and I'm going.

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Speaker 3: To say that I I think I prefer a Philly

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Speaker 3: cheese steak over.

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Speaker 2: A chop cheese.

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Speaker 3: I also think that chopped cheese I did not have.

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Speaker 3: Chop cheese is not really like a New York thing

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Speaker 3: in the way that they're making it out to be.

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Speaker 1: Yeah, they're making it seem like it's our sandwich and

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Speaker 1: it's not. The bacon egg and cheese is our sandwich.

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Speaker 2: For sure, But I think chop.

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Speaker 3: Cheese is like like an uptown I did not have

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Speaker 3: a chopped cheese until I was like thirty.

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Speaker 2: Had it only because I was dating a guy who

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Speaker 2: liked them.

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Speaker 1: Right, and we got some. But now it's suddenly been

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Speaker 1: it's the bodega. It's not though that's what people are. Yeah,

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Speaker 1: I feel like it's a lot of these like Wisconsin

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Speaker 1: transplants moved to New York, yeah, and got one and

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Speaker 1: then TikTok popularistification.

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Speaker 3: It is not don't listen to somebody who's and listen.

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Speaker 3: I appreciate that, you know, a lot of cities have

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Speaker 3: a lot of transplants, and you need your transplants and

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Speaker 3: you need your tourists, right, But.

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Speaker 2: I think taking like.

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Speaker 3: Food advice from somebody who just moved here, yeah, because

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Speaker 3: they discovered they discovered the chop cheese.

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Speaker 2: I don't.

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Speaker 1: I don't think so hard. I don't think so what

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Speaker 1: do you think all these restaurants with the lines out

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Speaker 1: the door? That drives me insane. You wouldn't catch me

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Speaker 1: waiting for any no.

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Speaker 3: You know, the other day right before the Nicks parade, Yeah,

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Speaker 3: they were showing like these people who were just sort

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Speaker 3: of calmly waiting the night before, and I just was

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Speaker 3: very struck by this feeling of I hope that I

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Speaker 3: never want to do something that bad.

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Speaker 1: Well I've never done anything calmonly, especially I'll wait, that's

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Speaker 1: definitely not something end but do.

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Speaker 2: You know what I mean?

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Speaker 3: People were just like, oh, like, I really want a

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Speaker 3: good spectator spot to see the Knicks.

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Speaker 1: And then Trump showed up and ruined it all. They ruined,

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Speaker 1: But he didn't know he didn't, but he didn't come

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Speaker 1: to the parade. Oh no, not the parade. This is

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Speaker 1: the parade, the parade. Did you see the weight to

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Speaker 1: get out of the subway? Yes, that sky got costumes.

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Speaker 1: Just looking at that, there's there's no way. So for

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Speaker 1: people who did not see the clip, there was this

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Speaker 1: video of people stuck in a subway tunnel waiting to

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Speaker 1: get to the street level. They had gotten off the train.

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Speaker 1: They're in like the vestibule tunnel before they can get

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Speaker 1: to the street level. The wait was for thirty.

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Speaker 3: Minutes and you can't And looking at that you can

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Speaker 3: tell that you can't go forward or backwards.

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Speaker 2: You are stuck there. You know what, It's like the

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Speaker 2: Battle of the Bastards. Remember that when they all circled

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Speaker 2: up John Snow and he's choking.

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Speaker 1: Yeah, that's what it looks like. The only way out

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Speaker 1: is up?

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Speaker 2: Yeah, how do you get out of that? Oh?

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Speaker 1: I know, I guess is that when people say, oh,

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Speaker 1: it was a thirty minute wait to get out of

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Speaker 1: the tunnel, when you're in the tunnel, you don't know

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Speaker 1: what's going to.

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Speaker 2: Be thirty No, you don't know. It could be anything.

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Speaker 1: My greatest fear, the thing I'm afraid of it is

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Speaker 1: what being stuck on an elevator? Are you really yes?

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Speaker 2: Oh, I'm actually not.

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Speaker 1: I'm not afraid of flying. I'm not afraid of heights,

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Speaker 1: not afraid of snakes.

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Speaker 3: Wait, so okay, let's say it's it's me and you

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Speaker 3: on the elevator and we're stuck.

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Speaker 2: Are you afraid? Yes, Okay, I'm freaking so I am

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Speaker 2: afraid of being stuck on a crowded elevator.

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Speaker 1: That's yes, it compounds for me, yes.

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Speaker 2: Yeah, if I'm on get thinking about that. My mom

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Speaker 2: is very much like that.

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Speaker 1: No, I get it.

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Speaker 2: She takes the stairs.

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Speaker 1: You know.

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Speaker 2: My mom is like in her seventies, and she's like,

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Speaker 2: I'll take the stairs. And I'm like, okay, yeah, but

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Speaker 2: I don't want to be like lately, all of a sudden,

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Speaker 2: I'm noticing that when I get on the subway and

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Speaker 2: if it's too packed, my heart starts to do a thing. Yeah,

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Speaker 2: and I have to fix it because what am I

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Speaker 2: going to do? Like, what am I going to do?

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Speaker 1: What am I going to do?

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Speaker 2: Yeah?

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Speaker 1: First of all, Denver, I have a bone to pick

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Speaker 1: with you. Why is there the Denver Airport is in

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Speaker 1: the middle of no where. It's like an hour outside

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Speaker 1: the city, surrounded by desert. It looks like breaking bad.

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Speaker 1: There's nothing happening at that and you get dropped off at.

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Speaker 2: The open A few people angry, I.

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Speaker 1: Don't care come for me, and you know I will

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Speaker 1: die on this.

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Speaker 2: The person who's from that area, I don't know who

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Speaker 2: that is off.

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Speaker 1: So I get dropped off at the airport. Why am

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Speaker 1: I taking a shuttle to the terminal where in the

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Speaker 1: middle of nowhere?

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Speaker 2: JFK has that.

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Speaker 1: Yeah, but it's like a crowded part of Long Island

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Speaker 1: and all this parking. Why aren't you getting just dropped

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Speaker 1: off at the terminal. I'm getting dropped off. You go

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Speaker 1: through and then we get on a train. Airport. Yes, okay,

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Speaker 1: you're in the middle of nowhere.

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Speaker 3: Well okay, so all the more reason. If it's in

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Speaker 3: the middle of nowhere, how will you get to where

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Speaker 3: you need to be.

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Speaker 1: I don't just build it so that you get dropped

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Speaker 1: off where the plane is.

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Speaker 2: Build it and they will come. So you want them

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Speaker 2: to build it?

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Speaker 1: They built it in the middle of nowhere, far away

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Speaker 1: from the city. Reason, and then put a train.

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Speaker 2: To get to the city.

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Speaker 1: No, a train from the middle of nowhere to even

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Speaker 1: further in the middle of nowhere to get to what

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Speaker 1: from nothing to nothing from the check into the plane,

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Speaker 1: it's like a two second train ridek and like we

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Speaker 1: could have walked this. Why is there a train? This

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Speaker 1: is there's no reason and you cannot walk it. You

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Speaker 1: have to take the train. So you go in, so

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Speaker 1: you check in for your flight, check in for your flight,

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Speaker 1: then you go down. Everyone waits and gets on a

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Speaker 1: train for no reason. It takes a train to the

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Speaker 1: terminal the plane. So you can't have an uber just

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Speaker 1: drop you off at the plane. Okay, we are just

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Speaker 1: like over complicating. Instead, it is mouse trap. It's the

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Speaker 1: kame a mouse trap from the nineties. Just to get

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Speaker 1: on my flight. This isn't that busy of a Not

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Speaker 1: that many people are coming to Denver. I don't think

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Speaker 1: it's that. I don't think it's the center of the world.

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Speaker 1: I don't think we're routing it's from Asia through Denver.

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Speaker 2: I feel like if you're a person who you've pissed

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Speaker 2: up a.

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Speaker 1: Lot of people, you know what, and I'm going to

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Speaker 1: double down. If you're the one person I know from Denver,

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Speaker 1: I don't like you. That's fire for me. I don't

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Speaker 1: know who you are anymore.

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Speaker 3: And the person who this is assuming they may not

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Speaker 3: even listen.

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Speaker 2: They don't do they would.

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Speaker 1: He does not care about me at all.

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Speaker 2: He loves me.

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Speaker 1: Oh yeah, I'm on the side of the road. He

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Speaker 1: keeps walking. Yeah, he doesn't cross the street.

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00:16:33,200 --> 00:16:34,880
Speaker 2: No, I don't think he keeps walking.

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Speaker 3: I think he will help you and judge you the

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Speaker 3: entire time.

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Speaker 1: I have an Australian friend. She says, I wouldn't piss

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Speaker 1: on her if she were on fire.

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Speaker 2: I've said that many times.

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Speaker 1: I hope that was like an Australian No, no, no, I.

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Speaker 2: Hope they go to I hope they go to help

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Speaker 2: with gasoline panties.

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Speaker 1: My favorite. I heard this on the TV show Hell

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Speaker 1: on a Scholarship. She's going to Hell on a scholarship.

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Speaker 2: That's good.

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Speaker 1: This is like crazy lady from Texas on a TV show.

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Speaker 1: I love that. Okay, did you go to any estate

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Speaker 1: sales this weekend?

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Speaker 2: No?

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Speaker 1: But speaking of regions that you want to piss off,

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Speaker 1: is there like one area that has better estate sales

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Speaker 1: than others?

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Speaker 2: Okay, I'm really glad you asked me this question.

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Speaker 1: Are you like trolling the White neighborhoods.

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Speaker 3: Listen. So a while back, I spent like the weekend

382
00:17:31,400 --> 00:17:35,639
Speaker 3: going to like multiple estates and I went to one

383
00:17:36,320 --> 00:17:38,959
Speaker 3: that was in Scarsdale, New York. And people don't know

384
00:17:38,960 --> 00:17:42,879
Speaker 3: about scars and Scarsdale is a very affluent neighborhood. The

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00:17:43,480 --> 00:17:46,320
Speaker 3: house that I went to had like grounds and I

386
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Speaker 3: think it was something like eighty five hundred square feet.

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Speaker 1: It was shit.

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Speaker 2: Yeah, I went there and it was okay. Yeah, it

389
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Speaker 2: was okay.

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Speaker 3: There wasn't anything that I felt like I had to have. Yeah,

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Speaker 3: none of the stuff felt like it spoke to me right,

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00:18:01,119 --> 00:18:03,520
Speaker 3: So okay, but it was but it was a if

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Speaker 3: you like.

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00:18:04,080 --> 00:18:06,520
Speaker 2: That kind of house. I could see why somebody would

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Speaker 2: think that it was beautiful.

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00:18:07,480 --> 00:18:09,560
Speaker 1: Well, sometimes when you go to a yard sell estates, hell,

397
00:18:09,880 --> 00:18:12,320
Speaker 1: you can tell the second you pull up it's if

398
00:18:12,359 --> 00:18:14,680
Speaker 1: it's not for you, right, you know what I mean?

399
00:18:17,040 --> 00:18:19,400
Speaker 1: But like a busted ass swing set on the front

400
00:18:19,480 --> 00:18:20,080
Speaker 1: lawn and like.

401
00:18:20,680 --> 00:18:25,520
Speaker 2: But it always pays to rummage through. No, it does, Yes,

402
00:18:25,600 --> 00:18:26,840
Speaker 2: it does, it does. It does.

403
00:18:27,680 --> 00:18:31,960
Speaker 1: With a Jane fond of v DVD work outside.

404
00:18:31,560 --> 00:18:37,160
Speaker 3: It's there's a fitness influencer who has recently discovered like.

405
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Speaker 2: All those old.

406
00:18:38,359 --> 00:18:39,600
Speaker 1: She was right, Jane Fond.

407
00:18:39,920 --> 00:18:41,679
Speaker 3: She was like, she was like, you know what, I

408
00:18:41,720 --> 00:18:43,240
Speaker 3: used to make one of these. She's like, but this

409
00:18:43,359 --> 00:18:44,880
Speaker 3: Jane Bonder workout has humbled her.

410
00:18:44,960 --> 00:18:48,160
Speaker 1: Yeah, she's actually she really knew what she was Yeah.

411
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Speaker 2: Kind of.

412
00:18:48,640 --> 00:18:54,920
Speaker 3: So after Scarsdale, I then went to Jankers, Yonkers, down

413
00:18:54,960 --> 00:18:56,760
Speaker 3: by the Raceway, Yonkers.

414
00:18:58,200 --> 00:18:59,400
Speaker 2: When I tell you and.

415
00:19:00,160 --> 00:19:03,679
Speaker 3: What Yonkers says, it's like a very weird part of

416
00:19:03,800 --> 00:19:05,800
Speaker 3: New York City. It's like kind of a part of

417
00:19:05,800 --> 00:19:07,600
Speaker 3: New York City, but it's not a part of New

418
00:19:07,680 --> 00:19:11,399
Speaker 3: York City. When you're doing your tax for your text,

419
00:19:11,680 --> 00:19:14,120
Speaker 3: a whole other situation about ya.

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00:19:14,280 --> 00:19:16,560
Speaker 1: Literally you're doing your taxes and there will be like

421
00:19:16,600 --> 00:19:18,400
Speaker 1: a separate breakaway questionnaire.

422
00:19:18,720 --> 00:19:20,119
Speaker 2: Do you live in Yonkers?

423
00:19:20,359 --> 00:19:20,640
Speaker 1: Is there?

424
00:19:21,080 --> 00:19:25,040
Speaker 3: Have you ever done anything your own property in Yonkers?

425
00:19:25,200 --> 00:19:28,520
Speaker 1: Have you something? And you have to claim it? I

426
00:19:28,560 --> 00:19:29,720
Speaker 1: don't know why, but.

427
00:19:31,480 --> 00:19:33,160
Speaker 2: If you do, you got to go to another page.

428
00:19:33,200 --> 00:19:34,280
Speaker 2: It's like a whole other thing.

429
00:19:34,320 --> 00:19:37,720
Speaker 1: But there's no other town mentioned on your tax return.

430
00:19:37,840 --> 00:19:38,840
Speaker 2: It's the only place.

431
00:19:39,720 --> 00:19:42,120
Speaker 1: And it's a small little it's not that big.

432
00:19:42,240 --> 00:19:44,400
Speaker 2: No, it's not that big. But I'll tell you.

433
00:19:44,400 --> 00:19:45,760
Speaker 3: So I go to this, So I go to this

434
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Speaker 3: house in Yonkers, and the house is a fucking mess.

435
00:19:49,880 --> 00:19:53,639
Speaker 1: Oh yeah, okay o when you get excited by it.

436
00:19:53,640 --> 00:19:56,240
Speaker 2: Oh, I got excited because the minute I walked into

437
00:19:56,280 --> 00:20:02,720
Speaker 2: this house, the house looked like the people who used

438
00:20:02,760 --> 00:20:05,320
Speaker 2: to live in this house. Like the guy was like

439
00:20:05,359 --> 00:20:08,000
Speaker 2: a made guy. Oh yeah, Oh it was so good.

440
00:20:08,280 --> 00:20:12,680
Speaker 3: I mean, and they had I came out of that Yes,

441
00:20:13,600 --> 00:20:18,399
Speaker 3: the clothes it looked like the movie Casino could have

442
00:20:18,440 --> 00:20:20,919
Speaker 3: gotten all their wardrobe from.

443
00:20:22,240 --> 00:20:24,000
Speaker 1: And now I'm a little annoyed you didn't call me

444
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Speaker 1: a little face time.

445
00:20:25,400 --> 00:20:27,320
Speaker 3: I think I didn't you mocked me. I think I

446
00:20:27,400 --> 00:20:30,480
Speaker 3: probably you know what I did. I was like, I

447
00:20:30,680 --> 00:20:33,439
Speaker 3: just come out of an estate sale in Yonkers, and

448
00:20:33,480 --> 00:20:35,840
Speaker 3: you were like, oh god, oh god, oh god god.

449
00:20:36,440 --> 00:20:40,160
Speaker 3: But I came out with several.

450
00:20:39,840 --> 00:20:43,119
Speaker 2: Outfits and a set of glasses.

451
00:20:43,720 --> 00:20:46,600
Speaker 1: Glasses. I guess you could put your lenses in them.

452
00:20:46,760 --> 00:20:51,480
Speaker 2: No, no, no, no, no drinking glass a set of glasses.

453
00:20:51,800 --> 00:20:53,439
Speaker 1: You don't need a set of drink I don't need.

454
00:20:54,080 --> 00:20:56,240
Speaker 1: Probably got lead paint. What are you doing with that?

455
00:20:56,560 --> 00:20:57,520
Speaker 1: Are looking like.

456
00:20:57,440 --> 00:21:00,680
Speaker 2: They look I'll send you a picture. Yeah, the Melissa

457
00:21:00,760 --> 00:21:02,199
Speaker 2: and it had a tray with a picture.

458
00:21:02,520 --> 00:21:05,560
Speaker 1: No, this is cry for help. No one's doing pictures

459
00:21:05,600 --> 00:21:07,480
Speaker 1: and glasses anymore. I am no.

460
00:21:07,880 --> 00:21:09,080
Speaker 2: And let me tell you something.

461
00:21:09,160 --> 00:21:12,439
Speaker 3: When I when I, when I, when I entertain in

462
00:21:12,520 --> 00:21:15,320
Speaker 3: my home, when it's not no, no, no no, because

463
00:21:15,320 --> 00:21:18,080
Speaker 3: I do. I've asked you and you have said no,

464
00:21:19,080 --> 00:21:22,520
Speaker 3: so fuck off. But when I entertained in my home,

465
00:21:22,920 --> 00:21:24,120
Speaker 3: everybody's just like.

466
00:21:24,119 --> 00:21:24,920
Speaker 2: Who Melissa?

467
00:21:25,040 --> 00:21:29,679
Speaker 3: This picture Melissa puts out at at a display the

468
00:21:29,760 --> 00:21:30,200
Speaker 3: other day.

469
00:21:30,760 --> 00:21:32,600
Speaker 2: The other day, but like for Easter, I was making

470
00:21:32,640 --> 00:21:35,199
Speaker 2: a poached fish. I went to an estate cell. I

471
00:21:35,240 --> 00:21:36,600
Speaker 2: bought a beautiful fish plate.

472
00:21:36,880 --> 00:21:39,640
Speaker 1: You you went to an estate cell for the fish place.

473
00:21:39,760 --> 00:21:40,159
Speaker 2: I didn't.

474
00:21:40,400 --> 00:21:42,560
Speaker 3: But while I was there, I was like, oh, I'm

475
00:21:42,560 --> 00:21:46,480
Speaker 3: making poached fish. I'm getting this plate. I told you

476
00:21:46,520 --> 00:21:49,160
Speaker 3: that too. You told me to get help. I help,

477
00:21:49,800 --> 00:21:51,119
Speaker 3: And then oh wait, I'm.

478
00:21:50,960 --> 00:21:53,160
Speaker 2: Thinking about you. I went to this other estate sale.

479
00:21:53,200 --> 00:21:55,040
Speaker 2: You know what I bought? What a lamp?

480
00:21:55,760 --> 00:21:56,760
Speaker 1: What's wrong with my lamb?

481
00:21:56,880 --> 00:22:00,280
Speaker 2: Nothing? You're the one forget it, forget it happened. No,

482
00:22:00,440 --> 00:22:03,720
Speaker 2: because you're always making fun of me about my lamp stuff.

483
00:22:03,840 --> 00:22:04,919
Speaker 2: Oh my god, too.

484
00:22:04,800 --> 00:22:07,520
Speaker 1: Late and no tea up again? I want to react.

485
00:22:09,080 --> 00:22:13,199
Speaker 1: I remember, I remember? She Okay, So people don't know

486
00:22:13,200 --> 00:22:15,600
Speaker 1: about Melissa. Edit the crap out of those I don't care.

487
00:22:16,480 --> 00:22:18,040
Speaker 1: I would people don't know about Melissa.

488
00:22:20,160 --> 00:22:24,280
Speaker 4: I love a good lamp house, has so many lamps,

489
00:22:24,840 --> 00:22:27,920
Speaker 4: and she's got like a lamp guy who like rewires

490
00:22:28,080 --> 00:22:31,800
Speaker 4: lamp lamp guy, I do, And I'm going to travel

491
00:22:31,840 --> 00:22:33,960
Speaker 4: to the lamp guy, what.

492
00:22:34,000 --> 00:22:36,640
Speaker 1: Are you doing? And she'll be like looking at a lamb, looking.

493
00:22:36,440 --> 00:22:40,800
Speaker 3: At I'm coming back from Louis my lamp guy in

494
00:22:41,000 --> 00:22:42,400
Speaker 3: Washington nights.

495
00:22:42,640 --> 00:22:45,960
Speaker 1: Literally, and it's gotten to a point where I don't

496
00:22:45,960 --> 00:22:48,880
Speaker 1: know if she's doing anything other than rewiring lamps. She's

497
00:22:48,920 --> 00:22:51,760
Speaker 1: not even a home to turn them on, because she's just.

498
00:22:51,760 --> 00:22:54,200
Speaker 3: Well now, well, now I'm like in this place where

499
00:22:54,200 --> 00:22:55,679
Speaker 3: I'm like redistributing lamps.

500
00:22:55,760 --> 00:22:58,280
Speaker 1: Okay, this is me with my house plans, because one

501
00:22:58,280 --> 00:23:01,239
Speaker 1: will die or get too big. Yeah it is. It

502
00:23:01,320 --> 00:23:06,280
Speaker 1: is uh Okham's razor I always have, or it's a

503
00:23:06,280 --> 00:23:08,320
Speaker 1: Gordian knot. It's one of those adages.

504
00:23:08,600 --> 00:23:08,919
Speaker 2: Okay.

505
00:23:09,680 --> 00:23:12,280
Speaker 1: I always have more plants than pots, or more pots

506
00:23:12,320 --> 00:23:15,159
Speaker 1: than plants. I never have the right number. Oh okay,

507
00:23:15,280 --> 00:23:17,520
Speaker 1: either the plant has outgrown it and now I need it,

508
00:23:17,560 --> 00:23:20,560
Speaker 1: So I'm always either buying a plant or buying a pot,

509
00:23:20,920 --> 00:23:23,760
Speaker 1: and I will never have the right amount.

510
00:23:23,920 --> 00:23:26,000
Speaker 2: So what do you do with the old pots?

511
00:23:26,800 --> 00:23:30,840
Speaker 3: Once you've gotten something that has outgrown its pot and

512
00:23:30,880 --> 00:23:31,959
Speaker 3: you can be potting it.

513
00:23:32,440 --> 00:23:35,080
Speaker 1: I'll keep the smaller one, but then I'll need something

514
00:23:35,320 --> 00:23:37,320
Speaker 1: even smaller than that, and then I'll look it up

515
00:23:37,359 --> 00:23:38,919
Speaker 1: and they'll say, whatever you do, don't put it in

516
00:23:38,960 --> 00:23:42,399
Speaker 1: that pot. And then or it'll be too big or

517
00:23:42,440 --> 00:23:45,879
Speaker 1: too little, or the plant has gotten out. It's just

518
00:23:45,920 --> 00:23:52,760
Speaker 1: like there's never it's never just gonna equal hour this

519
00:23:52,880 --> 00:23:55,919
Speaker 1: your algorithm is showing, let's get into fern Gully.

520
00:23:55,960 --> 00:24:00,680
Speaker 2: What is this? I, for whatever reason, randomly follow this account.

521
00:24:00,840 --> 00:24:01,560
Speaker 2: It's a fern.

522
00:24:01,880 --> 00:24:06,480
Speaker 1: I know this fern. I know this fern. This fern guy.

523
00:24:06,600 --> 00:24:08,320
Speaker 1: This guy has a giant fern.

524
00:24:08,160 --> 00:24:12,160
Speaker 3: A giant fern, and he just recently just took it outside.

525
00:24:12,760 --> 00:24:17,640
Speaker 2: It's been inside for the winter, and I'm like, I watched.

526
00:24:17,480 --> 00:24:17,840
Speaker 1: Him do it.

527
00:24:17,960 --> 00:24:21,320
Speaker 2: Yep, you get the fern's name.

528
00:24:21,400 --> 00:24:22,720
Speaker 1: It's like taller than he is.

529
00:24:23,680 --> 00:24:26,600
Speaker 2: Yes, I almost said Joey, but yeah, Jeff.

530
00:24:26,400 --> 00:24:28,280
Speaker 1: Jeff the fern guy. Yeah, CJ.

531
00:24:29,240 --> 00:24:33,720
Speaker 5: How did I just found it?

532
00:24:35,040 --> 00:24:36,760
Speaker 2: But yeah, Jeff the fern.

533
00:24:37,160 --> 00:24:38,920
Speaker 1: When he has to move it, it looks like it's

534
00:24:38,960 --> 00:24:41,200
Speaker 1: moving on its own. It's so big, it's really.

535
00:24:40,960 --> 00:24:42,440
Speaker 2: Big, and I'm always afraid.

536
00:24:42,480 --> 00:24:44,679
Speaker 3: I'm always afraid that he's going to kill it eventually

537
00:24:44,880 --> 00:24:47,120
Speaker 3: because a lot of the leaves are coming off.

538
00:24:47,200 --> 00:24:49,520
Speaker 1: I will tell you I've gotten ferns. Its like gifts.

539
00:24:49,920 --> 00:24:52,800
Speaker 2: Immediately dead, immediately dead, immediately dead.

540
00:24:52,880 --> 00:24:55,360
Speaker 1: Ever, they don't even make it through the weekend. Not

541
00:24:55,400 --> 00:24:59,920
Speaker 1: even a fortnite. There's no not a fortnight, not a fortnite,

542
00:25:00,600 --> 00:25:01,880
Speaker 1: not even a fortnite.

543
00:25:02,359 --> 00:25:04,840
Speaker 2: Funny, Andre says fortnite all the time, like normal, like

544
00:25:04,880 --> 00:25:11,359
Speaker 2: it's regular. You know what else? He also says, what

545
00:25:11,520 --> 00:25:14,560
Speaker 2: is that by the crow flies? Whatever that is? And

546
00:25:14,600 --> 00:25:16,720
Speaker 2: when we first started dating, I was like, what is that?

547
00:25:18,920 --> 00:25:20,760
Speaker 2: What is as the crow flies?

548
00:25:21,359 --> 00:25:23,239
Speaker 3: And I'm just used to it now, But now I

549
00:25:23,240 --> 00:25:25,560
Speaker 3: have to look at the people who aren't used to

550
00:25:25,560 --> 00:25:26,800
Speaker 3: it when he says it, and they're just like, what

551
00:25:26,960 --> 00:25:27,159
Speaker 3: is he?

552
00:25:27,520 --> 00:25:28,760
Speaker 2: What did Andre say?

553
00:25:29,560 --> 00:25:32,840
Speaker 1: You don't live anywhere particularly Bucolic. Why is he saying

554
00:25:32,840 --> 00:25:33,880
Speaker 1: that's the crow flies?

555
00:25:34,800 --> 00:25:42,200
Speaker 2: We'll ask him. As the other thing I wanted to

556
00:25:42,240 --> 00:25:46,760
Speaker 2: tell you about crying. Okay, I cried again. I did

557
00:25:47,040 --> 00:25:47,600
Speaker 2: you did this?

558
00:25:48,920 --> 00:25:52,800
Speaker 3: It is some account that I follow it's based out

559
00:25:52,840 --> 00:25:58,040
Speaker 3: of the UK, and this woman is finding people's long

560
00:25:58,160 --> 00:26:04,280
Speaker 3: lost relatives. And these two guys found each other, their

561
00:26:04,359 --> 00:26:09,440
Speaker 3: brothers and immediately weeping in tears. And they found each

562
00:26:09,480 --> 00:26:13,080
Speaker 3: other on their mother's birthday.

563
00:26:13,320 --> 00:26:15,639
Speaker 2: Who has died or something?

564
00:26:15,800 --> 00:26:19,600
Speaker 3: Oh wow, And now I'm sitting there on stupidly crying

565
00:26:19,640 --> 00:26:21,880
Speaker 3: for strangers on the internet who have found each other.

566
00:26:22,040 --> 00:26:22,800
Speaker 1: Now you're crying.

567
00:26:22,920 --> 00:26:23,119
Speaker 2: I know.

568
00:26:23,720 --> 00:26:24,720
Speaker 1: That's so beautiful.

569
00:26:24,800 --> 00:26:27,080
Speaker 2: It is kind of I feel like that's.

570
00:26:26,920 --> 00:26:29,159
Speaker 1: Going to be a movie or something. Someone's going to

571
00:26:29,240 --> 00:26:29,440
Speaker 1: make that.

572
00:26:29,840 --> 00:26:32,760
Speaker 2: But it's multiple. It's not just these two guys. It's

573
00:26:32,760 --> 00:26:33,359
Speaker 2: this woman.

574
00:26:33,960 --> 00:26:37,159
Speaker 3: She's got a show that airs on Channel whatever in

575
00:26:37,200 --> 00:26:42,919
Speaker 3: the UK. Yeah, she's always finding people. And my favorite

576
00:26:42,960 --> 00:26:48,359
Speaker 3: ones are do you know what the Madeline the Magdalen

577
00:26:48,960 --> 00:26:50,040
Speaker 3: Laundries are?

578
00:26:50,400 --> 00:26:52,320
Speaker 1: Yes? Yes, So she's.

579
00:26:52,080 --> 00:26:56,880
Speaker 2: Always finding like these children who are now getting reunited

580
00:26:57,200 --> 00:27:04,040
Speaker 2: with their Magdalen Laundry Mothers's so sad. It's so awful.

581
00:27:03,800 --> 00:27:06,400
Speaker 3: For people who don't know what the Magdalen Laundries were.

582
00:27:07,480 --> 00:27:09,840
Speaker 3: It wasn't Ireland. And what would happen was if there

583
00:27:09,920 --> 00:27:14,160
Speaker 3: was a woman who was pregnant out of wedlock, they

584
00:27:14,280 --> 00:27:17,199
Speaker 3: would take their baby away from them. Basically, and it

585
00:27:17,280 --> 00:27:18,919
Speaker 3: was all through the Catholic church.

586
00:27:19,640 --> 00:27:20,680
Speaker 2: Horrible Horrible Heart.

587
00:27:20,720 --> 00:27:22,639
Speaker 1: There are a lot of TV shows sort of based

588
00:27:22,680 --> 00:27:25,240
Speaker 1: on this premise too, of their birth mother.

589
00:27:25,400 --> 00:27:29,399
Speaker 3: There's like a documentary that's very interesting, Super Super Sad.

590
00:27:29,720 --> 00:27:32,560
Speaker 1: I called a detention center and there was a baby

591
00:27:32,560 --> 00:27:33,560
Speaker 1: crying in the background.

592
00:27:35,000 --> 00:27:40,320
Speaker 2: Is the baby with the parent? Ooh? That is really

593
00:27:40,440 --> 00:27:41,199
Speaker 2: upsetting for me.

594
00:27:41,320 --> 00:27:43,359
Speaker 1: I was calling to talk to my client, so I

595
00:27:43,480 --> 00:27:46,520
Speaker 1: was like, you know, you have these moments where you're like,

596
00:27:46,560 --> 00:27:49,040
Speaker 1: can I start shit right now? And I was like,

597
00:27:49,119 --> 00:27:50,840
Speaker 1: I can't. I got to talk to my client, like

598
00:27:50,920 --> 00:27:57,359
Speaker 1: I can't deal with this baby. Ask your client, no,

599
00:27:57,440 --> 00:27:59,800
Speaker 1: I asked. I asked the lady behind the counter. I said, Oh,

600
00:27:59,840 --> 00:28:01,360
Speaker 1: it's bring your child to workday.

601
00:28:02,400 --> 00:28:03,480
Speaker 2: Would she say to you?

602
00:28:03,600 --> 00:28:06,280
Speaker 1: She said no, it's like, oh, whose baby is that?

603
00:28:07,400 --> 00:28:09,000
Speaker 1: You know, you don't have to be You don't have

604
00:28:09,000 --> 00:28:09,920
Speaker 1: to yell to be a bitch.

605
00:28:10,040 --> 00:28:12,760
Speaker 2: No, you don't. You know my feeling about that, they.

606
00:28:12,640 --> 00:28:15,720
Speaker 1: Can actually you can be really quiet bitch. And that's

607
00:28:15,720 --> 00:28:17,920
Speaker 1: what I did. This was a very Melissa Albanache coded

608
00:28:17,920 --> 00:28:21,560
Speaker 1: thing to do. I was like, Oh, whose kid is that?

609
00:28:23,040 --> 00:28:25,800
Speaker 1: What do you mean? Right? I just that's what I

610
00:28:25,880 --> 00:28:27,600
Speaker 1: just that's what I did. Well, what do you what

611
00:28:27,640 --> 00:28:29,000
Speaker 1: do you mean it's a detainee.

612
00:28:29,400 --> 00:28:33,880
Speaker 2: Why who's taking care of him? Yeah? Do you have kids?

613
00:28:33,320 --> 00:28:36,960
Speaker 1: Okay, they're so cute when they're at that age, right,

614
00:28:37,440 --> 00:28:38,320
Speaker 1: they always want to be with.

615
00:28:38,280 --> 00:28:39,280
Speaker 2: Their parents always.

616
00:28:39,360 --> 00:28:43,560
Speaker 1: Anyway, what do you have for lunch? Right? Yeah? So

617
00:28:44,160 --> 00:28:47,040
Speaker 1: I don't know, just sitting in the uncomfortable moment of

618
00:28:47,080 --> 00:28:47,840
Speaker 1: that phone call.

619
00:28:48,040 --> 00:28:51,600
Speaker 2: I love that actually, But yeah, is your plans for

620
00:28:51,600 --> 00:28:52,240
Speaker 2: the fourth of July?

621
00:28:52,440 --> 00:28:54,360
Speaker 1: Okay? So the fourth of July it's always like a

622
00:28:54,480 --> 00:28:57,560
Speaker 1: nightmare for me. I always have like the word the weirdest.

623
00:28:58,240 --> 00:29:03,680
Speaker 1: There's just never everything's really crowded, everything's really hot. I

624
00:29:03,720 --> 00:29:06,520
Speaker 1: can never do anything, so I end up just like

625
00:29:06,600 --> 00:29:10,600
Speaker 1: staying home. But there are like three recipes that I make.

626
00:29:10,880 --> 00:29:12,400
Speaker 2: But are you going to add more seasoning?

627
00:29:12,640 --> 00:29:15,800
Speaker 1: I am because one is a pasta salad, and I'm

628
00:29:15,880 --> 00:29:17,240
Speaker 1: learning from my black friends.

629
00:29:17,360 --> 00:29:19,400
Speaker 2: I love a pasta salad.

630
00:29:19,200 --> 00:29:22,440
Speaker 1: Love pasta salachy put tuna in it. No, I do

631
00:29:22,560 --> 00:29:24,600
Speaker 1: one with them without. It's the same recipe, and then

632
00:29:24,640 --> 00:29:26,920
Speaker 1: I'll add tuna to one. That way, if I'm like

633
00:29:27,080 --> 00:29:29,840
Speaker 1: I need a little protein in my lunch, I'll just

634
00:29:29,840 --> 00:29:32,960
Speaker 1: eat that for lunch or I have the other version

635
00:29:33,080 --> 00:29:35,080
Speaker 1: as just like a side dish that can go with

636
00:29:35,160 --> 00:29:38,680
Speaker 1: any sort of protein. But then I make a Millie

637
00:29:38,720 --> 00:29:41,800
Speaker 1: Pear Tree. She's a chef. She owned a restaurant and

638
00:29:41,880 --> 00:29:43,920
Speaker 1: the Bronx, and she's a New York Times food writer

639
00:29:44,840 --> 00:29:49,520
Speaker 1: cooking writer, and she has this really good strawberry lemonade cake.

640
00:29:49,920 --> 00:29:51,920
Speaker 2: Hmm, that sounds good and it's.

641
00:29:51,840 --> 00:29:56,440
Speaker 1: Glazed with lemon I'm allergic to strawberries, So I do raspberries?

642
00:29:56,480 --> 00:29:57,120
Speaker 2: Are you really?

643
00:29:57,400 --> 00:29:57,640
Speaker 1: Yes?

644
00:29:57,720 --> 00:29:59,440
Speaker 2: I did not know that about it. Yeah, I will

645
00:29:59,440 --> 00:30:01,800
Speaker 2: go down, will you die?

646
00:30:02,080 --> 00:30:02,320
Speaker 1: Yeah?

647
00:30:02,520 --> 00:30:05,440
Speaker 2: Oh okay, I not that with eggplant egg plante.

648
00:30:05,600 --> 00:30:07,560
Speaker 1: This is such a weird thing saying egg plant tastes

649
00:30:07,640 --> 00:30:10,360
Speaker 1: like something that people would be allergic to. Like, when

650
00:30:10,400 --> 00:30:13,360
Speaker 1: you're eating it, you're like, this has the texture and

651
00:30:13,400 --> 00:30:16,880
Speaker 1: mouth feel of something that would make your throat close up.

652
00:30:16,960 --> 00:30:19,440
Speaker 1: You know, theyste the meanings. Yeah, I'm like there's I'm

653
00:30:19,640 --> 00:30:22,280
Speaker 1: I'm not feeling that, but I'm like, when I'm eating it,

654
00:30:22,280 --> 00:30:24,960
Speaker 1: I'm like, this would kill someone.

655
00:30:26,280 --> 00:30:29,840
Speaker 2: This has all But there's a whole segment of the

656
00:30:30,280 --> 00:30:34,320
Speaker 2: population of the world who's just loving babagash, like yes,

657
00:30:34,640 --> 00:30:35,920
Speaker 2: and they're not allergic to it.

658
00:30:36,080 --> 00:30:38,160
Speaker 3: I feel like it's something. It's like, it's like, do

659
00:30:38,160 --> 00:30:41,040
Speaker 3: you ever hear of this? There's a product called plumpy nut.

660
00:30:41,160 --> 00:30:43,480
Speaker 2: You know what that is? Excuse me, no, no, no.

661
00:30:43,400 --> 00:30:45,720
Speaker 3: It's actually really it's really, it's actually really important. Plumpy

662
00:30:45,800 --> 00:30:49,400
Speaker 3: nut is a very nutrient dense paste that they make

663
00:30:49,440 --> 00:30:54,480
Speaker 3: out of peanuts for usually children who are starving, right,

664
00:30:55,280 --> 00:30:58,040
Speaker 3: and they also will give it to nursing mothers. And

665
00:30:58,120 --> 00:31:03,440
Speaker 3: I remember it was years ago on like sixty minutes

666
00:31:03,480 --> 00:31:05,960
Speaker 3: before sixty minutes became what it is.

667
00:31:05,920 --> 00:31:09,520
Speaker 1: Now fifty it became fifty nine minutes.

668
00:31:10,240 --> 00:31:12,880
Speaker 2: They were talking to one of the doctors who runs

669
00:31:12,920 --> 00:31:15,400
Speaker 2: the program and they asked to said, well, what about

670
00:31:15,400 --> 00:31:18,880
Speaker 2: peanut allergies. The guy was just like, that's in America.

671
00:31:18,920 --> 00:31:19,760
Speaker 1: That's some white people.

672
00:31:19,760 --> 00:31:20,800
Speaker 2: Shuit, Well, I.

673
00:31:20,720 --> 00:31:23,480
Speaker 3: Don't think that because because I know not I know

674
00:31:23,520 --> 00:31:26,000
Speaker 3: black people who have a penia allergy. My cousin all

675
00:31:26,000 --> 00:31:29,200
Speaker 3: her kids have peenut allergies. But he was like, that

676
00:31:29,360 --> 00:31:33,080
Speaker 3: is an American That is very much an American problem. Like,

677
00:31:33,160 --> 00:31:35,960
Speaker 3: for whatever reason, I don't know what it is that

678
00:31:36,040 --> 00:31:38,120
Speaker 3: either we are exposed to in the United States or

679
00:31:38,200 --> 00:31:40,719
Speaker 3: those kids are not exposed to that makes it so

680
00:31:40,760 --> 00:31:43,520
Speaker 3: that they are they do not have peanut allergies, and

681
00:31:43,560 --> 00:31:44,720
Speaker 3: I don't know what that's about.

682
00:31:44,920 --> 00:31:46,440
Speaker 2: That's crazy, it's interesting.

683
00:31:46,840 --> 00:31:49,280
Speaker 1: Yeah, America's wild. I mean, fourth of July. It's the

684
00:31:49,320 --> 00:31:52,160
Speaker 1: two undred and fiftieth anniversary. Okay, are you going to be

685
00:31:52,240 --> 00:31:56,440
Speaker 1: doing anything different? Are you ready? The Atlantic's reporting on it, actually,

686
00:31:56,760 --> 00:31:58,400
Speaker 1: I mean they said it's going to be a disaster.

687
00:31:58,640 --> 00:32:00,880
Speaker 2: I'm sure it will be a disaster. We think he touches,

688
00:32:00,960 --> 00:32:01,440
Speaker 2: turns to.

689
00:32:01,400 --> 00:32:05,880
Speaker 1: Shit America two fifty. But as tensions emerged, Trump created

690
00:32:05,920 --> 00:32:10,080
Speaker 1: his own group, Freedom two fifty. Come on, So Trump

691
00:32:10,200 --> 00:32:13,720
Speaker 1: created his own group Freedom two fifty in the National

692
00:32:13,720 --> 00:32:18,680
Speaker 1: Park Foundation, which is organizing signature projects and has received

693
00:32:18,840 --> 00:32:21,120
Speaker 1: the majority of the one hundred and fifty million that

694
00:32:21,160 --> 00:32:23,600
Speaker 1: Congress allocated to the anniversary events.

695
00:32:24,120 --> 00:32:25,000
Speaker 2: So what's he going to do?

696
00:32:25,440 --> 00:32:28,320
Speaker 5: A traveling fair of sanitized American history?

697
00:32:31,520 --> 00:32:37,800
Speaker 2: Very good? CJ? Okay, CJ is coming in, hot shots fired.

698
00:32:38,320 --> 00:32:42,720
Speaker 1: I'm sure it's going to be like very a whitewashed

699
00:32:43,120 --> 00:32:44,160
Speaker 1: history of America.

700
00:32:44,560 --> 00:32:47,719
Speaker 2: Right, It's going to be like Kid Rock again performance.

701
00:32:47,280 --> 00:32:50,560
Speaker 1: Discovered by Columbus. It'll be like it'll be like, yeah,

702
00:32:50,720 --> 00:32:53,880
Speaker 1: Kid Rock on a motocross bike doing a backflip in

703
00:32:53,920 --> 00:32:54,880
Speaker 1: front of the White House.

704
00:32:54,960 --> 00:32:55,280
Speaker 2: I don't know.

705
00:32:55,840 --> 00:32:59,000
Speaker 3: We can see fireworks from the roof of our building

706
00:32:59,120 --> 00:33:02,680
Speaker 3: and we don't even do it anymore. I'm just so uninterested.

707
00:33:02,800 --> 00:33:06,720
Speaker 1: Okay, artists are dropping out. Martina McBride dropped out. I'm

708
00:33:06,760 --> 00:33:10,440
Speaker 1: shocked she was confirmed. Why country singer she was? I

709
00:33:10,480 --> 00:33:10,840
Speaker 1: don't know.

710
00:33:10,960 --> 00:33:13,479
Speaker 2: I mean, she's got her niche, she's got her name.

711
00:33:13,520 --> 00:33:15,360
Speaker 1: I think is her niche Maga.

712
00:33:15,640 --> 00:33:21,120
Speaker 3: I would imagine that there are a lot of and

713
00:33:21,160 --> 00:33:22,800
Speaker 3: this is a blanket statement. I know it doesn't plan

714
00:33:22,840 --> 00:33:26,760
Speaker 3: to everybody, so calm down, but I feel like a

715
00:33:26,880 --> 00:33:31,440
Speaker 3: lot of people feel like country music is very American, right,

716
00:33:31,680 --> 00:33:35,760
Speaker 3: and very pro America. Yea, And so this idea that

717
00:33:35,840 --> 00:33:39,960
Speaker 3: like maga is also pro America, and they would think

718
00:33:40,000 --> 00:33:43,960
Speaker 3: that country performers are like mega.

719
00:33:44,040 --> 00:33:44,680
Speaker 2: Do you know what I mean?

720
00:33:45,040 --> 00:33:47,560
Speaker 1: Do you remember the inauguration in twenty sixteen, there was

721
00:33:47,600 --> 00:33:49,240
Speaker 1: like one rocket that performed.

722
00:33:49,480 --> 00:33:50,920
Speaker 2: It's just the one.

723
00:33:52,040 --> 00:33:54,800
Speaker 1: They like gave the rockets the option of performing, and

724
00:33:54,920 --> 00:33:57,320
Speaker 1: only one said yes. It was like one or two?

725
00:33:58,200 --> 00:33:59,120
Speaker 2: Did she kick by herself?

726
00:33:59,160 --> 00:34:04,080
Speaker 1: I figure? And it was now that they were like

727
00:34:04,200 --> 00:34:05,760
Speaker 1: and now the rocket.

728
00:34:10,600 --> 00:34:13,720
Speaker 2: Julie is Julie the rocket, there was only one.

729
00:34:14,560 --> 00:34:19,000
Speaker 3: I wonder, I mean, I he's a sociopath, so he

730
00:34:19,040 --> 00:34:22,920
Speaker 3: probably doesn't care, but I wonder what he thinks.

731
00:34:23,320 --> 00:34:24,799
Speaker 2: Sure, okay, what does he saying?

732
00:34:24,920 --> 00:34:28,000
Speaker 1: Curs. His president called for the cancelation of the concerts

733
00:34:28,040 --> 00:34:30,719
Speaker 1: after everyone dropped out, and said in a post on

734
00:34:30,760 --> 00:34:33,000
Speaker 1: truth Socialida he would kick off the fair with an

735
00:34:33,000 --> 00:34:36,720
Speaker 1: opening ceremony because no one wants to perform now, even

736
00:34:36,800 --> 00:34:41,000
Speaker 1: Julie the one rocket. He called himself the number one

737
00:34:41,040 --> 00:34:46,040
Speaker 1: attraction in the world. Anyway, number one attractions usually don't

738
00:34:46,080 --> 00:34:49,360
Speaker 1: have to open for themselves, right, there's usually an opening.

739
00:34:49,719 --> 00:34:52,200
Speaker 3: Like the person who says, you know, I am the

740
00:34:52,280 --> 00:34:53,759
Speaker 3: least racist person in the world.

741
00:34:53,760 --> 00:34:58,040
Speaker 2: They're always the most racist person in the world. I

742
00:34:58,160 --> 00:35:00,799
Speaker 2: you know, I am, Like what ever? I am?

743
00:35:01,200 --> 00:35:03,800
Speaker 3: I remember one time, is years ago when I was

744
00:35:03,840 --> 00:35:09,280
Speaker 3: still like an administrative assistant. Somebody called and my boss

745
00:35:09,360 --> 00:35:10,840
Speaker 3: wasn't there, and I was like, would you like to

746
00:35:10,920 --> 00:35:12,440
Speaker 3: leave a message or would you like to leave a

747
00:35:12,520 --> 00:35:14,480
Speaker 3: voicemailon She said I would like to leave a message.

748
00:35:14,480 --> 00:35:17,560
Speaker 3: I said sure, and she gave me her name, you know,

749
00:35:18,600 --> 00:35:23,200
Speaker 3: Jane Smith. And I said from where and she said, really,

750
00:35:24,000 --> 00:35:26,440
Speaker 3: I'm actually quite famous.

751
00:35:26,160 --> 00:35:29,160
Speaker 1: Famous people often don't don't have to remind you they're famous.

752
00:35:29,200 --> 00:35:31,719
Speaker 3: And I was just like, oh, I'm sorry, I guess

753
00:35:31,800 --> 00:35:34,640
Speaker 3: I don't know from where you're famed.

754
00:35:34,960 --> 00:35:36,680
Speaker 2: Like I just was like, I was like, well, I

755
00:35:36,680 --> 00:35:39,600
Speaker 2: don't know who you are. And she was like wow,

756
00:35:39,920 --> 00:35:42,759
Speaker 2: She's like that's really interesting. I'm home.

757
00:35:44,000 --> 00:35:44,560
Speaker 1: Who was it?

758
00:35:45,160 --> 00:35:45,640
Speaker 2: Her name was?

759
00:35:46,920 --> 00:35:47,040
Speaker 1: Who?

760
00:35:48,000 --> 00:35:50,200
Speaker 2: She was like? She was like big and like her

761
00:35:50,920 --> 00:35:54,480
Speaker 2: in her day, in her day, in her realm.

762
00:35:55,120 --> 00:35:57,600
Speaker 1: She wasn't a celebrity. It was that profession. She was

763
00:35:57,680 --> 00:36:01,520
Speaker 1: very well known. Oh get Ben, no way if you're

764
00:36:01,560 --> 00:36:05,080
Speaker 1: the regional director of the Yeah no, I mean she.

765
00:36:05,040 --> 00:36:07,400
Speaker 2: Had written lots of textbooks and all these other things,

766
00:36:07,640 --> 00:36:08,439
Speaker 2: and I get it.

767
00:36:08,640 --> 00:36:13,920
Speaker 1: But the assistant, right, you're not the person boss knew.

768
00:36:13,719 --> 00:36:16,560
Speaker 3: Who Boss came in and I was just like listen.

769
00:36:17,160 --> 00:36:20,080
Speaker 3: Jane Smith called and she's very unhappy with me, and

770
00:36:20,120 --> 00:36:22,319
Speaker 3: she said why. She said she was upset that I

771
00:36:22,320 --> 00:36:23,719
Speaker 3: didn't know who she was. She told me she was

772
00:36:23,800 --> 00:36:25,600
Speaker 3: quite famous, and she laughed.

773
00:36:26,120 --> 00:36:29,840
Speaker 2: She was like okay, she was like, yeah, she actually is,

774
00:36:29,880 --> 00:36:31,760
Speaker 2: but it's fine. I was like, so weird.

775
00:36:31,920 --> 00:36:35,120
Speaker 1: I was at a wedding and this guy had been

776
00:36:35,239 --> 00:36:36,839
Speaker 1: he'd been in a lot of stuff, like he was

777
00:36:36,840 --> 00:36:42,239
Speaker 1: like a name, but it had been a minute. It

778
00:36:42,280 --> 00:36:46,960
Speaker 1: had been a minute. He wasn't maybe readily recognizable as

779
00:36:47,000 --> 00:36:49,960
Speaker 1: that person. This man went out of his way to

780
00:36:50,040 --> 00:36:50,759
Speaker 1: let me know that.

781
00:36:50,840 --> 00:36:53,359
Speaker 2: He was who he was. Yes, okay, tell me who

782
00:36:53,440 --> 00:36:54,719
Speaker 2: he was. We'll bleep it out.

783
00:36:54,800 --> 00:36:56,080
Speaker 1: I honestly could can't remember.

784
00:36:58,120 --> 00:37:01,040
Speaker 2: But were they like famous t V Star movie. They

785
00:37:01,040 --> 00:37:02,400
Speaker 2: weren't singing.

786
00:37:02,560 --> 00:37:05,800
Speaker 1: She was in like a lot in Broadway and TV

787
00:37:06,000 --> 00:37:09,239
Speaker 1: and movies as like the Gay Best Friend, but like

788
00:37:09,320 --> 00:37:12,200
Speaker 1: in early nineties, you know what I mean, So it

789
00:37:12,239 --> 00:37:14,840
Speaker 1: had been a long time, so A didn't look like

790
00:37:14,880 --> 00:37:17,880
Speaker 1: that anymore. You've been seen and B since that movie,

791
00:37:17,960 --> 00:37:19,440
Speaker 1: people were really talking about it.

792
00:37:19,760 --> 00:37:19,920
Speaker 2: You know.

793
00:37:20,080 --> 00:37:22,399
Speaker 1: I wish I remembered what the movie was. I saw

794
00:37:22,480 --> 00:37:24,560
Speaker 1: Julia Roberts on the street the other day, did you

795
00:37:24,640 --> 00:37:26,400
Speaker 1: that was A that was a big deal. That was

796
00:37:26,440 --> 00:37:29,040
Speaker 1: a big exciting But it just shows you, especially now

797
00:37:29,080 --> 00:37:32,279
Speaker 1: with the World Cup, how an international New York is

798
00:37:33,000 --> 00:37:36,680
Speaker 1: because no one was bothering miss Julia, Miss Roberts, right,

799
00:37:36,800 --> 00:37:38,280
Speaker 1: I also unbothered.

800
00:37:37,880 --> 00:37:40,320
Speaker 2: Feel like in New York.

801
00:37:41,440 --> 00:37:44,320
Speaker 3: I mean, this is going to sound so like snippy,

802
00:37:44,360 --> 00:37:47,200
Speaker 3: but like we kind of see celebrities a lot.

803
00:37:47,120 --> 00:37:49,719
Speaker 1: We do, and I didn't stop her, right.

804
00:37:50,000 --> 00:37:54,279
Speaker 3: And the thing about celebrities, like everybody else, when they

805
00:37:54,360 --> 00:37:59,160
Speaker 3: are out, they just look so regular and sometimes it

806
00:37:59,200 --> 00:38:03,680
Speaker 3: takes a second to realize that the person is who

807
00:38:03,680 --> 00:38:05,520
Speaker 3: they are. Like I remember one time I saw Julianne

808
00:38:05,520 --> 00:38:07,960
Speaker 3: Moore and I was like walking down the street and

809
00:38:08,000 --> 00:38:10,520
Speaker 3: I looked up and I was like, that woman looks

810
00:38:10,600 --> 00:38:13,319
Speaker 3: very familiar. Yeah, And then it was like after she

811
00:38:13,400 --> 00:38:15,200
Speaker 3: walked by, I'm like, oh, that was Julianne Moore.

812
00:38:15,320 --> 00:38:20,120
Speaker 2: But I was never And I've also seen Alec Baldwin.

813
00:38:20,200 --> 00:38:25,640
Speaker 1: Oh he's always. He's here right now, like he's always.

814
00:38:26,320 --> 00:38:29,680
Speaker 2: He just reminds me of like over Grizzly Bear.

815
00:38:29,800 --> 00:38:32,600
Speaker 1: I've seen him, like I see him all the time

816
00:38:32,800 --> 00:38:35,560
Speaker 1: and mess and I've seen him like on the phone,

817
00:38:35,680 --> 00:38:39,400
Speaker 1: like he'll be like and someone will come up to

818
00:38:39,480 --> 00:38:43,680
Speaker 1: be like, oh, you're Alec Balderon and he goes, I.

819
00:38:43,600 --> 00:38:45,680
Speaker 2: Know, I know who I am, Like, I know, I'm

820
00:38:45,760 --> 00:38:46,800
Speaker 2: just on the I'm.

821
00:38:46,600 --> 00:38:48,759
Speaker 1: On the phone right now. I know Like he knows

822
00:38:48,800 --> 00:38:51,560
Speaker 1: he's out in these streets, he knows that he's.

823
00:38:51,880 --> 00:38:53,000
Speaker 2: Well, he's just walking around.

824
00:38:53,200 --> 00:38:56,880
Speaker 1: He's not even attempting to know to evade public.

825
00:38:57,239 --> 00:38:59,520
Speaker 3: He I remember one time I saw him with one

826
00:38:59,520 --> 00:39:03,000
Speaker 3: of his one of his many children. Yeah, and I

827
00:39:03,120 --> 00:39:05,040
Speaker 3: was just like, oh the things I've seen him so

828
00:39:05,080 --> 00:39:05,640
Speaker 3: many times.

829
00:39:05,680 --> 00:39:08,200
Speaker 1: Then, just like a pixture going on, New York Ya.

830
00:39:08,320 --> 00:39:08,640
Speaker 2: How are you?

831
00:39:08,840 --> 00:39:11,240
Speaker 1: I think that I forgot?

832
00:39:11,520 --> 00:39:14,920
Speaker 2: Okay, yeah, you're reaching that? Are you reaching that stage

833
00:39:14,960 --> 00:39:15,520
Speaker 2: of your life?

834
00:39:16,280 --> 00:39:17,200
Speaker 1: Saw going on?

835
00:39:18,320 --> 00:39:20,360
Speaker 2: That's fine. I walk into rooms all the time and

836
00:39:20,400 --> 00:39:21,520
Speaker 2: I'm like, why am I here? And then I have

837
00:39:21,560 --> 00:39:22,400
Speaker 2: to walk out and walk back in.

838
00:39:22,920 --> 00:39:25,319
Speaker 1: My life really is like one giant notes app right now.

839
00:39:25,360 --> 00:39:27,840
Speaker 1: I just put everything in there and then I'm like,

840
00:39:28,480 --> 00:39:33,319
Speaker 1: what does this mean? Sorry? Okay? World Cup?

841
00:39:34,360 --> 00:39:36,560
Speaker 2: The World Cup. So I was just saying, how.

842
00:39:37,120 --> 00:39:39,680
Speaker 1: We're hoping the colonizers get trounced.

843
00:39:39,880 --> 00:39:40,239
Speaker 2: We do.

844
00:39:40,600 --> 00:39:44,040
Speaker 3: But what's super interesting though about that is that a

845
00:39:44,080 --> 00:39:46,719
Speaker 3: lot of the countries that were historically had been like

846
00:39:47,760 --> 00:39:50,200
Speaker 3: an all white team, like France for example.

847
00:39:50,400 --> 00:39:52,200
Speaker 2: Yeah, because of immigration.

848
00:39:53,120 --> 00:39:58,000
Speaker 3: Everybody on the French team is of African descent, born

849
00:39:58,040 --> 00:39:59,480
Speaker 3: and raised in France.

850
00:39:59,800 --> 00:40:00,680
Speaker 2: They are French.

851
00:40:00,800 --> 00:40:02,920
Speaker 1: Are they born and raised in Prince Okay?

852
00:40:03,040 --> 00:40:08,880
Speaker 3: They are French, right, but they came from because of

853
00:40:08,920 --> 00:40:14,000
Speaker 3: their family colony? No, no, no, no, no, they know they

854
00:40:14,960 --> 00:40:17,400
Speaker 3: they're children of immigrants, Like I am.

855
00:40:17,360 --> 00:40:20,440
Speaker 1: Okay, but I was just thinking, like, or is it

856
00:40:20,520 --> 00:40:26,400
Speaker 1: that that France is recruiting their players from a French still,

857
00:40:26,440 --> 00:40:28,640
Speaker 1: like from a French country.

858
00:40:28,239 --> 00:40:31,480
Speaker 3: Maybe, but that's but in this particular case, in this team,

859
00:40:31,680 --> 00:40:32,600
Speaker 3: that is not the case.

860
00:40:32,840 --> 00:40:35,880
Speaker 2: Oh okay, It's really interesting.

861
00:40:35,960 --> 00:40:38,320
Speaker 3: But what's what I think is so funny is that

862
00:40:38,400 --> 00:40:41,400
Speaker 3: so many people don't understand how that works.

863
00:40:41,640 --> 00:40:45,279
Speaker 1: Right, So I don't clearly what do you mean?

864
00:40:45,320 --> 00:40:45,920
Speaker 2: Of course you do?

865
00:40:46,120 --> 00:40:47,880
Speaker 1: Oh, I thought you meant just like how recruiting for

866
00:40:47,920 --> 00:40:52,480
Speaker 1: sports teams? No, no immigration works.

867
00:40:49,920 --> 00:40:54,200
Speaker 2: Yeah, literally have one job.

868
00:40:54,239 --> 00:41:00,000
Speaker 1: I thought you meant, like how sports recruiting works. Definitely,

869
00:41:00,080 --> 00:41:01,560
Speaker 1: have no idea.

870
00:41:01,760 --> 00:41:05,880
Speaker 3: But yeah, but how like it is possible for somebody,

871
00:41:06,480 --> 00:41:11,160
Speaker 3: for somebody who is Greek to look like me because

872
00:41:11,320 --> 00:41:12,680
Speaker 3: of immigration.

873
00:41:13,360 --> 00:41:16,080
Speaker 2: But so many people don't understand that. Yeah, like why

874
00:41:16,080 --> 00:41:16,759
Speaker 2: don't you get it?

875
00:41:16,840 --> 00:41:19,319
Speaker 3: Like it's it's not hard, you know what I mean?

876
00:41:19,719 --> 00:41:22,279
Speaker 3: But but I'm wondering what is hard about?

877
00:41:22,400 --> 00:41:25,640
Speaker 1: Well, for me, it's like a Ruba Like the Dutch

878
00:41:26,080 --> 00:41:30,239
Speaker 1: soccer team. Do they have players from Aruba, which is

879
00:41:30,280 --> 00:41:32,399
Speaker 1: like a Dutch colony? You know what I mean? No?

880
00:41:32,440 --> 00:41:35,319
Speaker 5: Not unless their parents were born in the Netherlands. In

881
00:41:35,360 --> 00:41:37,600
Speaker 5: the Netherlands, it goes back in generation.

882
00:41:38,239 --> 00:41:42,920
Speaker 2: Okay, oh oh wow, that's how that works, right, yeah, I.

883
00:41:42,920 --> 00:41:46,440
Speaker 1: Mean that's just how general immigration works. Who's not getting that?

884
00:41:47,120 --> 00:41:47,600
Speaker 2: A lot of.

885
00:41:47,520 --> 00:41:49,719
Speaker 3: People call me no, A lot of people were just like,

886
00:41:49,760 --> 00:41:52,279
Speaker 3: what do you mean. It's like when people realized that

887
00:41:52,320 --> 00:41:56,680
Speaker 3: there were black people in Scotland, they were like, whoa, yeah,

888
00:41:56,719 --> 00:42:02,120
Speaker 3: because you don't expect, you don't expect, right, But that's.

889
00:42:01,960 --> 00:42:04,520
Speaker 2: Not how that works, do you know what I mean?

890
00:42:04,719 --> 00:42:06,640
Speaker 3: I think it's really interesting that there are so many

891
00:42:06,680 --> 00:42:10,640
Speaker 3: people who don't understand how that is possible.

892
00:42:10,800 --> 00:42:13,440
Speaker 1: This is black creator. I follow. She's in China and

893
00:42:13,480 --> 00:42:16,400
Speaker 1: she speaks like perfect Mandarin, and her whole all of

894
00:42:16,440 --> 00:42:19,440
Speaker 1: her content is just her having the most insane interactions

895
00:42:19,440 --> 00:42:22,040
Speaker 1: with Chinese people who are just like shocked, very shocked

896
00:42:22,040 --> 00:42:25,640
Speaker 1: to see that she's fluent, yeah culture.

897
00:42:25,760 --> 00:42:30,360
Speaker 3: American and who spoke perfect, perfect Mandarin. And she would say,

898
00:42:31,200 --> 00:42:33,239
Speaker 3: and this is when I was still doing like immigration law,

899
00:42:33,280 --> 00:42:36,239
Speaker 3: and she would get like, she's a paralegal also, and

900
00:42:36,280 --> 00:42:38,640
Speaker 3: she got a lot of the Chinese clients who some

901
00:42:38,680 --> 00:42:41,640
Speaker 3: of them would not talk to her really because they

902
00:42:41,640 --> 00:42:42,840
Speaker 3: were it was too much.

903
00:42:43,000 --> 00:42:45,200
Speaker 2: It was too much my mind.

904
00:42:45,280 --> 00:42:46,879
Speaker 1: No, I can't, I can't do it. Yeah.

905
00:42:48,000 --> 00:42:50,600
Speaker 3: She also said that she lived in China for a

906
00:42:50,640 --> 00:42:54,640
Speaker 3: while and for a while she didn't want to be

907
00:42:54,800 --> 00:42:58,839
Speaker 3: out after school because some kids who had never seen

908
00:42:58,840 --> 00:43:00,839
Speaker 3: a black person that they would like scream and they

909
00:43:00,840 --> 00:43:03,160
Speaker 3: would point in whatever the word for blackest they would

910
00:43:03,239 --> 00:43:05,279
Speaker 3: like say it and point at her, and she was like, well,

911
00:43:05,320 --> 00:43:07,120
Speaker 3: that doesn't feel like shit, I'm gonna stay inside.

912
00:43:07,719 --> 00:43:10,960
Speaker 1: You've seen the video of like the schoolgirls like screaming

913
00:43:11,040 --> 00:43:13,760
Speaker 1: because there were two boys kissing. They were like so excited.

914
00:43:13,880 --> 00:43:18,120
Speaker 1: They were filming it safe. It's like these guys. They

915
00:43:18,120 --> 00:43:21,080
Speaker 1: were just like driving. The two gay guys pulled over

916
00:43:21,080 --> 00:43:23,600
Speaker 1: in a car and the video is of them like laughing,

917
00:43:24,120 --> 00:43:27,480
Speaker 1: and then out the window is like twenties black school

918
00:43:27,520 --> 00:43:32,360
Speaker 1: girls screaming like ten year olds screaming like yes, like

919
00:43:32,680 --> 00:43:34,880
Speaker 1: because they were like two boys. And then they were

920
00:43:34,920 --> 00:43:36,680
Speaker 1: like do it again, do it again, do it again?

921
00:43:39,520 --> 00:43:41,759
Speaker 1: And it's not like salicious. They like peck on the

922
00:43:41,800 --> 00:43:45,919
Speaker 1: lips and they go the girl starts from one girl

923
00:43:46,000 --> 00:43:51,200
Speaker 1: fell down. It got like trampled because they were like

924
00:43:51,239 --> 00:43:55,640
Speaker 1: do it, do it, do it. It's so cute. I

925
00:43:55,719 --> 00:44:01,479
Speaker 1: love it. Let's gonna under oath. This is a deep

926
00:44:01,560 --> 00:44:04,160
Speaker 1: dive into a hot topic right now.

927
00:44:04,520 --> 00:44:05,640
Speaker 2: What are we going to talk about?

928
00:44:05,760 --> 00:44:09,839
Speaker 1: Let's talk about trademark infringemen. Let's you want to talk

929
00:44:09,840 --> 00:44:15,200
Speaker 1: about Patagonia Patagonia. So Patagonia suing a drag queen named Pattygonia.

930
00:44:16,400 --> 00:44:18,839
Speaker 2: First, what tell people what Patagonia is.

931
00:44:19,080 --> 00:44:22,920
Speaker 1: Patagonia, you don't know, is a clothing company kind of

932
00:44:22,960 --> 00:44:27,120
Speaker 1: like Ellobean. It's like Arii outdoor clothing. Okay, it's like

933
00:44:27,200 --> 00:44:29,960
Speaker 1: Hike and gear. But it's also become like kind of

934
00:44:30,040 --> 00:44:33,000
Speaker 1: like a statusy symbol. Like all the finance bros on

935
00:44:33,360 --> 00:44:33,680
Speaker 1: all the.

936
00:44:33,600 --> 00:44:36,320
Speaker 2: Finance bros have those those the vests.

937
00:44:36,400 --> 00:44:39,440
Speaker 1: Yeah, you know your near a law firm or financial

938
00:44:39,480 --> 00:44:41,719
Speaker 1: institution when you see a guy in a white button

939
00:44:41,760 --> 00:44:44,080
Speaker 1: down shirt with one of those puffer vestas and the vest.

940
00:44:43,920 --> 00:44:47,120
Speaker 2: Will have usually the name of the company like Stitch Yeah.

941
00:44:47,000 --> 00:44:47,880
Speaker 1: I'll say Patagonia.

942
00:44:47,960 --> 00:44:48,520
Speaker 2: Yeah.

943
00:44:48,560 --> 00:44:52,839
Speaker 1: And so last year the drag queen Patagonia great name,

944
00:44:53,800 --> 00:44:56,880
Speaker 1: filed a trademark application for exclusive rates to use her

945
00:44:56,920 --> 00:45:01,440
Speaker 1: brand to sell merch and to promote active and online marketing.

946
00:45:01,520 --> 00:45:05,279
Speaker 1: So the tea about Patagonia is that she does a

947
00:45:05,320 --> 00:45:13,120
Speaker 1: lot of environmental outdoors sort of advocacy. There is like

948
00:45:13,160 --> 00:45:18,319
Speaker 1: this social environmental element to her drag. It's not just

949
00:45:18,719 --> 00:45:24,040
Speaker 1: cross dressing, okay. So in May twenty seven, Patagonia, the

950
00:45:24,120 --> 00:45:28,680
Speaker 1: company the clothing company, posted to its website that Patagonia

951
00:45:29,000 --> 00:45:32,400
Speaker 1: violated a previous agreement the two of them had struck

952
00:45:32,400 --> 00:45:36,839
Speaker 1: over the use of the name and logo Patagonia. Patagonia

953
00:45:36,920 --> 00:45:39,279
Speaker 1: denies that any such agreement was reached, so they were

954
00:45:39,320 --> 00:45:43,240
Speaker 1: in some sort of negotiation agreement over like how much

955
00:45:43,239 --> 00:45:47,719
Speaker 1: of that trademark she could use. So a few weeks ago,

956
00:45:48,160 --> 00:45:51,160
Speaker 1: the drag queen Patagonia released a video offering to drop

957
00:45:51,239 --> 00:45:54,600
Speaker 1: the trademark that she wanted if the company drops their

958
00:45:54,719 --> 00:45:58,600
Speaker 1: countersuit against her. So basically how trademarks work is that

959
00:45:59,280 --> 00:46:05,560
Speaker 1: in order for you to maintain your company's trademark status,

960
00:46:05,800 --> 00:46:10,320
Speaker 1: you have to proactively sue. So if someone starts using

961
00:46:10,440 --> 00:46:15,240
Speaker 1: your your logo or something that is like closely attributed

962
00:46:15,280 --> 00:46:18,520
Speaker 1: to that company, like the McDonald's arch or something like that,

963
00:46:19,320 --> 00:46:24,040
Speaker 1: or like who are those jesters? Who's the guy? Is

964
00:46:24,080 --> 00:46:29,400
Speaker 1: the Ronald McDonald? Like that sort of image, who is

965
00:46:29,400 --> 00:46:33,560
Speaker 1: that clown? You start using one of those images It's

966
00:46:33,640 --> 00:46:38,040
Speaker 1: kind of like you have to proactively defend your trademark

967
00:46:38,440 --> 00:46:41,000
Speaker 1: otherwise it dilutes the value of it and people can

968
00:46:41,040 --> 00:46:44,960
Speaker 1: start using it. So that is sort of how and

969
00:46:45,080 --> 00:46:46,960
Speaker 1: why they were suing Patigonia.

970
00:46:47,200 --> 00:46:50,839
Speaker 3: When somebody has a trademark, right, and you, I guess

971
00:46:50,880 --> 00:46:53,920
Speaker 3: you own your trademark. Your company owns your trademark. Do

972
00:46:54,160 --> 00:46:55,440
Speaker 3: you have that forever?

973
00:46:55,840 --> 00:46:58,480
Speaker 2: Or is it for X amount of years.

974
00:46:58,520 --> 00:47:01,480
Speaker 5: Or ten years from the registration date. You have the

975
00:47:01,520 --> 00:47:04,200
Speaker 5: option to renew for an additional ten year period, so

976
00:47:04,239 --> 00:47:06,719
Speaker 5: every decade you have the option to renew your trademark.

977
00:47:06,800 --> 00:47:12,399
Speaker 3: So I wonder what would happen if Patagonia, the company,

978
00:47:12,560 --> 00:47:15,520
Speaker 3: if they have their trademark for ten years, right, and

979
00:47:16,080 --> 00:47:20,480
Speaker 3: they forget right? Yeah, can Patty?

980
00:47:20,760 --> 00:47:21,359
Speaker 1: I think so?

981
00:47:21,680 --> 00:47:22,040
Speaker 2: Interesting?

982
00:47:22,080 --> 00:47:27,560
Speaker 1: Yea, But like Patagonia is a publicly traded but if yeah, hypothetically, hypothetically, yeah,

983
00:47:27,840 --> 00:47:30,120
Speaker 1: the company is set on Instagram, they can resolve the

984
00:47:30,160 --> 00:47:33,840
Speaker 1: matter if patty Agonia withdraws all trademark applications and stops

985
00:47:33,960 --> 00:47:37,920
Speaker 1: using the logo. Interesting. I mean, it feels like a

986
00:47:38,000 --> 00:47:42,000
Speaker 1: David versus Goliath situation where we've got, you know, a

987
00:47:42,080 --> 00:47:44,799
Speaker 1: queer person trying.

988
00:47:44,560 --> 00:47:46,880
Speaker 2: To basically a small business owner.

989
00:47:46,960 --> 00:47:49,680
Speaker 1: Create art and sell merch and like, we know that

990
00:47:49,800 --> 00:47:53,439
Speaker 1: most most drag queens are struggling to get by, many

991
00:47:53,480 --> 00:47:55,799
Speaker 1: are maybe not most, And then we've got like the

992
00:47:55,800 --> 00:47:59,440
Speaker 1: big evil corporation. Right, but I was watching an interview

993
00:47:59,440 --> 00:48:01,840
Speaker 1: with the CEO, oh and he was like we only

994
00:48:01,880 --> 00:48:04,680
Speaker 1: I think they only suit her for a dollar because

995
00:48:04,680 --> 00:48:08,000
Speaker 1: they were like, we have to maintain our true, they're

996
00:48:08,040 --> 00:48:12,400
Speaker 1: not going after money, They're just trying to preserve their trademark. Okay,

997
00:48:12,440 --> 00:48:15,200
Speaker 1: which if they let PATTYGONI you start using it.

998
00:48:15,160 --> 00:48:15,920
Speaker 2: Then everybody will.

999
00:48:18,600 --> 00:48:21,920
Speaker 3: I would love to know what Patty, like, what what

1000
00:48:22,120 --> 00:48:24,880
Speaker 3: is Patty's Patty? If you're out there or if you

1001
00:48:25,040 --> 00:48:27,239
Speaker 3: are a friend of Patty, what'd you come on our

1002
00:48:27,239 --> 00:48:29,640
Speaker 3: show and talk to us. I'm really curious as to

1003
00:48:30,080 --> 00:48:33,640
Speaker 3: what it is that you were hoping to accomplish what

1004
00:48:33,680 --> 00:48:38,200
Speaker 3: you're doing. I'm just curious because I also wonder about

1005
00:48:38,760 --> 00:48:42,680
Speaker 3: obviously Patagonia is a huge company, right, Yeah, what did

1006
00:48:43,040 --> 00:48:46,759
Speaker 3: Patty think was going to happen? What could you anticipate?

1007
00:48:46,880 --> 00:48:47,160
Speaker 2: Really?

1008
00:48:47,239 --> 00:48:49,400
Speaker 1: You know, what if you're especially if you're registering a

1009
00:48:49,440 --> 00:48:52,879
Speaker 1: trademark to create march, right, It's like I think they

1010
00:48:52,920 --> 00:48:54,080
Speaker 1: have that already.

1011
00:48:53,840 --> 00:48:56,480
Speaker 3: Well or well, I guess. I wonder though, if you

1012
00:48:56,480 --> 00:49:00,799
Speaker 3: can make an argument right that she is and I

1013
00:49:00,800 --> 00:49:03,960
Speaker 3: don't know that she was going to trademark Patty p

1014
00:49:04,160 --> 00:49:05,439
Speaker 3: A T T I E.

1015
00:49:06,000 --> 00:49:08,920
Speaker 2: Space Gonia whereas Patagonia.

1016
00:49:08,960 --> 00:49:10,480
Speaker 1: But I think it was like the merchant was like

1017
00:49:10,719 --> 00:49:14,440
Speaker 1: Patty Gonia in the same like logo shape on the vests,

1018
00:49:14,719 --> 00:49:18,879
Speaker 1: okay as Patagona. Sure, so I think it was how

1019
00:49:18,920 --> 00:49:19,800
Speaker 1: she said anything.

1020
00:49:20,280 --> 00:49:22,799
Speaker 5: I think it's like it's an ongoing lawsuit, so I'm

1021
00:49:22,800 --> 00:49:23,799
Speaker 5: not sure she can.

1022
00:49:24,080 --> 00:49:26,759
Speaker 1: But it's an ongoing lawsuit, so I don't think she's

1023
00:49:26,880 --> 00:49:28,240
Speaker 1: like commenting publicly.

1024
00:49:28,440 --> 00:49:29,360
Speaker 2: Okay, that's interesting.

1025
00:49:29,360 --> 00:49:32,680
Speaker 1: Basically, she did release a video saying like she'll drop

1026
00:49:32,719 --> 00:49:34,759
Speaker 1: her trademark if the company drops the lawsuit, so I

1027
00:49:34,800 --> 00:49:35,520
Speaker 1: bet they're gonna.

1028
00:49:36,040 --> 00:49:40,200
Speaker 3: Okay, So here here's the thing. So Patty, excuse me,

1029
00:49:40,280 --> 00:49:43,839
Speaker 3: Patty Gonia, who uses she her and they then when

1030
00:49:43,840 --> 00:49:48,000
Speaker 3: they're in drag, but out of drag identifies as a

1031
00:49:48,000 --> 00:49:48,560
Speaker 3: gay male.

1032
00:49:49,640 --> 00:49:53,200
Speaker 2: He was an organ, right, So if you I just

1033
00:49:53,239 --> 00:49:54,839
Speaker 2: feel like, if you.

1034
00:49:55,040 --> 00:50:00,000
Speaker 3: Are sort of like, if what he does is very local, yeah,

1035
00:50:00,120 --> 00:50:05,720
Speaker 3: to his community, then we wouldn't necessarily hear about somebody

1036
00:50:05,760 --> 00:50:08,520
Speaker 3: like that unless you are very like tuned into like

1037
00:50:08,640 --> 00:50:09,720
Speaker 3: environmental stuff.

1038
00:50:09,920 --> 00:50:15,120
Speaker 1: Patagonia raised three point she Pattigna raised three point seven

1039
00:50:15,200 --> 00:50:20,440
Speaker 1: million for nonprofits and is a community organizer and climate activist.

1040
00:50:20,719 --> 00:50:24,080
Speaker 1: So I love that. Yeah, I love that drag has

1041
00:50:24,120 --> 00:50:27,080
Speaker 1: become so much more than like dancing for tips and

1042
00:50:27,160 --> 00:50:29,640
Speaker 1: a dollar. Yeah, that's still what I want in a

1043
00:50:29,719 --> 00:50:32,360
Speaker 1: drag queen, though, when I go out, I want you

1044
00:50:32,400 --> 00:50:34,879
Speaker 1: want to be entertained. I want that. I don't want,

1045
00:50:35,800 --> 00:50:38,000
Speaker 1: but like, and that's not to say like both can't

1046
00:50:38,000 --> 00:50:40,600
Speaker 1: exist or ones better than the other. I'm just like,

1047
00:50:41,360 --> 00:50:43,560
Speaker 1: I guess it's like good that like drag is occupying

1048
00:50:43,719 --> 00:50:46,479
Speaker 1: like every space, right, I'm sure Patigonia is getting asked

1049
00:50:46,520 --> 00:50:50,560
Speaker 1: to go to marches and like protests. Yeah yeah, yeah,

1050
00:50:50,960 --> 00:50:54,200
Speaker 1: to be to like help fundraise for environmental You are,

1051
00:50:54,600 --> 00:50:57,920
Speaker 1: you know, going to Gallas and or But.

1052
00:50:57,880 --> 00:51:01,320
Speaker 3: If you are like a I don't know, a company

1053
00:51:01,440 --> 00:51:07,799
Speaker 3: or an institution that is you know, environmentally based, Yeah,

1054
00:51:07,880 --> 00:51:11,200
Speaker 3: you could probably reached out to Patty for example, Yes,

1055
00:51:11,760 --> 00:51:15,480
Speaker 3: because it opens up another audience for you, right, So yeah.

1056
00:51:15,360 --> 00:51:17,680
Speaker 1: Yeah, No, it's just so interesting to watch like how

1057
00:51:17,760 --> 00:51:21,200
Speaker 1: drag has evolved too. I mean a lot of drag

1058
00:51:21,280 --> 00:51:21,960
Speaker 1: queens lament.

1059
00:51:22,280 --> 00:51:24,479
Speaker 2: How it's become is it watered down?

1060
00:51:25,040 --> 00:51:29,040
Speaker 1: Maybe not watered down, yes in some ways, but also

1061
00:51:30,000 --> 00:51:37,040
Speaker 1: how drag queens have new expectations from mainstream society. Like

1062
00:51:37,120 --> 00:51:40,280
Speaker 1: drag queens have always been like drug dealers and sex workers,

1063
00:51:40,480 --> 00:51:45,560
Speaker 1: and like it was never Miss America and now it is.

1064
00:51:45,640 --> 00:51:48,080
Speaker 1: I think because of Repulse Drag Race it has become

1065
00:51:48,120 --> 00:51:50,240
Speaker 1: a lot like Miss America in many ways.

1066
00:51:50,360 --> 00:51:50,560
Speaker 2: Right.

1067
00:51:51,200 --> 00:51:53,279
Speaker 1: The expectations on them are that they're supposed to be

1068
00:51:53,440 --> 00:51:57,600
Speaker 1: perfect people sometimes and it's like not really what drag

1069
00:51:58,000 --> 00:52:02,399
Speaker 1: originally was, or many drag queens came up not with that.

1070
00:52:03,080 --> 00:52:05,280
Speaker 1: But there is like this new generation of drag queens

1071
00:52:05,280 --> 00:52:07,640
Speaker 1: that came out of RuPaul's Drag Race, who are a

1072
00:52:07,680 --> 00:52:11,799
Speaker 1: lot younger, who are thinking of themselves more as maybe

1073
00:52:11,840 --> 00:52:15,719
Speaker 1: an activist or a public figure or getting into politics

1074
00:52:16,280 --> 00:52:19,799
Speaker 1: rather than someone who works at a nightclub or or but.

1075
00:52:20,520 --> 00:52:24,120
Speaker 3: Also an entertainer on a bigger class from on a

1076
00:52:24,120 --> 00:52:24,880
Speaker 3: bigger stage.

1077
00:52:24,960 --> 00:52:25,120
Speaker 1: Right.

1078
00:52:25,120 --> 00:52:27,000
Speaker 2: But I mean, I think it's like anything else, it's.

1079
00:52:29,520 --> 00:52:35,560
Speaker 3: An evolution, right, it didn't most things don't stay the same,

1080
00:52:35,719 --> 00:52:38,640
Speaker 3: they kind of change, right, So this is what that is,

1081
00:52:38,680 --> 00:52:42,560
Speaker 3: and it's in RuPaul's drag race has made it super popular.

1082
00:52:42,520 --> 00:52:44,239
Speaker 1: And it's like that for I mean, it's like that

1083
00:52:44,320 --> 00:52:47,480
Speaker 1: in so many things, right, like even the Pride Parade

1084
00:52:47,480 --> 00:52:51,000
Speaker 1: this year. Every year it's like, well, it didn't used

1085
00:52:51,000 --> 00:52:52,840
Speaker 1: to be Pride, used to be appro to, Like it

1086
00:52:52,920 --> 00:52:54,480
Speaker 1: used to be like this, and now we're there are

1087
00:52:54,560 --> 00:52:57,720
Speaker 1: kids there, and oh you shouldn't have the soprietaries. Should

1088
00:52:57,719 --> 00:53:00,239
Speaker 1: there should be cop surpride, There shouldn't be king Like

1089
00:53:00,560 --> 00:53:04,640
Speaker 1: there's always a one gen saying there should or should

1090
00:53:04,640 --> 00:53:07,320
Speaker 1: not be something over the other who's saying the opposite.

1091
00:53:07,719 --> 00:53:09,520
Speaker 3: Somebody's to be like, well, you don't know what it

1092
00:53:09,600 --> 00:53:13,720
Speaker 3: was like for us, Yeah, and I wonder though should

1093
00:53:13,719 --> 00:53:17,120
Speaker 3: there not be I don't know, coming from a place

1094
00:53:17,120 --> 00:53:21,000
Speaker 3: of gratitude that things have changed, and it's more it

1095
00:53:21,080 --> 00:53:24,160
Speaker 3: is sort of more family. There's their space for everybody.

1096
00:53:24,280 --> 00:53:26,960
Speaker 3: The one thing I will say that I can appreciate

1097
00:53:27,680 --> 00:53:32,560
Speaker 3: that some people would be annoyed about is how you know,

1098
00:53:32,840 --> 00:53:36,560
Speaker 3: June first, every bank, every whatever, all of a sudden

1099
00:53:36,600 --> 00:53:38,600
Speaker 3: it's got our rainbow flag in front of it, and

1100
00:53:39,040 --> 00:53:42,960
Speaker 3: July first, it's gone. It's sort of like the way

1101
00:53:43,080 --> 00:53:46,799
Speaker 3: that Black History Month, right, it just feels like there

1102
00:53:46,920 --> 00:53:50,719
Speaker 3: is this population of person that is being used, and.

1103
00:53:50,640 --> 00:53:53,880
Speaker 1: I'm always like, use me, but make sure that you're

1104
00:53:54,320 --> 00:53:58,480
Speaker 1: putting your money towards these issues twelve months out of

1105
00:53:58,520 --> 00:54:02,279
Speaker 1: the year correct or at all. Right, many just use

1106
00:54:02,400 --> 00:54:04,880
Speaker 1: the Pride flag and they'll do it in New York City,

1107
00:54:04,920 --> 00:54:07,279
Speaker 1: but they won't do it in Alabama. And then they

1108
00:54:07,920 --> 00:54:10,000
Speaker 1: once they take it down, right, and they put no

1109
00:54:10,160 --> 00:54:13,799
Speaker 1: money towards any issue whatsoever. They have no DEI in

1110
00:54:13,840 --> 00:54:19,520
Speaker 1: their company, they've they've erased all d because they don't

1111
00:54:19,560 --> 00:54:22,680
Speaker 1: want to piss off the Trump administration. Like so many

1112
00:54:22,760 --> 00:54:26,080
Speaker 1: organizations do that, not just like in the private sector,

1113
00:54:26,120 --> 00:54:28,560
Speaker 1: but also in like the nonprofit space. So I think

1114
00:54:28,600 --> 00:54:32,439
Speaker 1: that when it comes to I don't really care how

1115
00:54:32,480 --> 00:54:35,520
Speaker 1: you use the rainbow flag or like what that is

1116
00:54:35,600 --> 00:54:39,640
Speaker 1: for you for I really don't care. But as long

1117
00:54:39,680 --> 00:54:42,880
Speaker 1: as you know you get in the voting booth and

1118
00:54:42,920 --> 00:54:45,520
Speaker 1: you're voting for those rights, you're not just using it

1119
00:54:45,560 --> 00:54:48,319
Speaker 1: to promote something. That's where it pisses me.

1120
00:54:48,280 --> 00:54:51,080
Speaker 3: Off, right, And I think that they're same with black history, right.

1121
00:54:51,280 --> 00:54:53,520
Speaker 3: I think that's that there's a lot of that exactly.

1122
00:54:53,560 --> 00:54:56,319
Speaker 1: I think that's probably what's mostly happening. It's just a

1123
00:54:56,360 --> 00:54:57,719
Speaker 1: marketing tool at this point.

1124
00:54:57,520 --> 00:55:00,080
Speaker 3: And it just you know, and like I said, I

1125
00:55:00,200 --> 00:55:03,520
Speaker 3: can completely understand why you could be annoyed. Were you know,

1126
00:55:05,320 --> 00:55:09,320
Speaker 3: because City Bank has afloat, right, somebody.

1127
00:55:08,640 --> 00:55:13,480
Speaker 2: Else can't participate, right, right? Maybe like a smaller right, Yeah, a.

1128
00:55:13,400 --> 00:55:16,200
Speaker 3: Smaller company that's a queer company, do you know what

1129
00:55:16,239 --> 00:55:20,920
Speaker 3: I mean? Like that, So because these big giant corporations

1130
00:55:20,920 --> 00:55:23,319
Speaker 3: are deciding to sort of swoop in and be like

1131
00:55:23,600 --> 00:55:25,879
Speaker 3: the saviors of the gays, you know what I mean,

1132
00:55:25,960 --> 00:55:28,720
Speaker 3: it's like the white savior for the black people.

1133
00:55:28,719 --> 00:55:32,120
Speaker 1: Like it's and like I have that reaction. It's complicated

1134
00:55:32,120 --> 00:55:35,160
Speaker 1: for me because I'm like at this point in my life,

1135
00:55:35,280 --> 00:55:36,520
Speaker 1: I don't go to pride anymore.

1136
00:55:36,640 --> 00:55:38,200
Speaker 2: I can ask you, I don't go, and I know

1137
00:55:38,520 --> 00:55:39,879
Speaker 2: you haven't gotten to like.

1138
00:55:39,840 --> 00:55:42,239
Speaker 1: The New York Pride Pride has been like a decade,

1139
00:55:42,440 --> 00:55:45,000
Speaker 1: but most of my friends and queer people I know

1140
00:55:45,200 --> 00:55:49,239
Speaker 1: have their own type of pride something in New York,

1141
00:55:49,239 --> 00:55:50,759
Speaker 1: whether it's a party or everyone just goes to the

1142
00:55:50,760 --> 00:55:53,520
Speaker 1: same bar, or if there's like a Brooklyn block party

1143
00:55:53,600 --> 00:55:57,640
Speaker 1: or something. And so I'm still having that experience that

1144
00:55:57,719 --> 00:55:59,640
Speaker 1: I would have, I guess if I were going to

1145
00:55:59,680 --> 00:56:02,439
Speaker 1: the Pride Parade twenty years ago that you know people

1146
00:56:02,480 --> 00:56:05,880
Speaker 1: are lamenting. It's no longer like that. But then I

1147
00:56:05,920 --> 00:56:08,920
Speaker 1: difference from the South who are straight, who are going

1148
00:56:08,960 --> 00:56:11,839
Speaker 1: to be in New York, who are reaching out like, oh, hey,

1149
00:56:11,840 --> 00:56:14,719
Speaker 1: are you going to the big New York City Pride

1150
00:56:14,760 --> 00:56:19,759
Speaker 1: parade like it's the Thanksgiving Macy's Day Parade, And I'm like, oh,

1151
00:56:19,760 --> 00:56:22,759
Speaker 1: maybe this doesn't This isn't a net negative, right, Like,

1152
00:56:22,800 --> 00:56:25,960
Speaker 1: this isn't a blanket negative. Just because it's not for

1153
00:56:26,080 --> 00:56:29,520
Speaker 1: me anymore doesn't mean it's not for someone, right, and

1154
00:56:29,800 --> 00:56:33,919
Speaker 1: that someone Maybe the there is positive to it, even

1155
00:56:33,920 --> 00:56:36,400
Speaker 1: though there is negative of city bank gets afloat and

1156
00:56:36,440 --> 00:56:41,439
Speaker 1: the small group doesn't like, maybe that doesn't cancel all

1157
00:56:41,480 --> 00:56:42,560
Speaker 1: the good out of it.

1158
00:56:42,680 --> 00:56:44,600
Speaker 2: You You feel.

1159
00:56:45,800 --> 00:56:50,520
Speaker 3: Some type of way, right that there are straight people

1160
00:56:50,600 --> 00:56:53,719
Speaker 3: coming in from wherever and they're coming to sort of

1161
00:56:53,840 --> 00:56:55,000
Speaker 3: watch this parade.

1162
00:56:55,280 --> 00:56:57,480
Speaker 1: No, I think that's fine. That doesn't bother me, okay,

1163
00:56:57,800 --> 00:57:00,080
Speaker 1: because I've always sort of like been raised around me

1164
00:57:00,360 --> 00:57:04,920
Speaker 1: like get exposed to whatever, like the otherness of it.

1165
00:57:05,080 --> 00:57:09,120
Speaker 1: Being exposed to it is only going to sort of

1166
00:57:09,160 --> 00:57:12,719
Speaker 1: like desensitize you to the stigma of it, right, or

1167
00:57:12,800 --> 00:57:15,520
Speaker 1: any perceived stigma of it. Right, there's always going to

1168
00:57:15,600 --> 00:57:18,320
Speaker 1: be you know, like a naysayer or whatever. But I

1169
00:57:18,400 --> 00:57:20,960
Speaker 1: do that doesn't bother me. Now, what do you think?

1170
00:57:21,280 --> 00:57:23,240
Speaker 2: It's not my parade, do you know what I mean?

1171
00:57:23,520 --> 00:57:25,040
Speaker 1: I never was a parade for you.

1172
00:57:25,280 --> 00:57:27,120
Speaker 2: But I used to go to the parade all the time.

1173
00:57:27,320 --> 00:57:30,400
Speaker 3: Yeah, because I was working for an organization that had

1174
00:57:30,720 --> 00:57:32,920
Speaker 3: a big part in the parade, and then I started.

1175
00:57:32,680 --> 00:57:33,840
Speaker 2: Volunteering for things.

1176
00:57:34,760 --> 00:57:37,720
Speaker 3: I feel like it's kind of thing to do with

1177
00:57:37,800 --> 00:57:39,640
Speaker 3: pride is generally Now, I just don't want to be

1178
00:57:39,640 --> 00:57:42,160
Speaker 3: in a I don't want to be uncomfortable in a crowd,

1179
00:57:42,760 --> 00:57:45,680
Speaker 3: regardless of the reason. Right, Like you would not catch

1180
00:57:45,760 --> 00:57:49,680
Speaker 3: me like the next thing, I'm not going.

1181
00:57:49,840 --> 00:57:52,240
Speaker 1: I can't And I don't want to be drunk at

1182
00:57:52,240 --> 00:57:54,720
Speaker 1: two pm. Well that's a parade.

1183
00:57:54,760 --> 00:57:55,400
Speaker 2: That's a choice.

1184
00:57:55,600 --> 00:57:58,440
Speaker 1: Well, yeah, you don't have to me.

1185
00:57:59,560 --> 00:58:01,640
Speaker 2: You don't have to be drunk at two pm, Michael,

1186
00:58:02,600 --> 00:58:03,160
Speaker 2: I guess at a.

1187
00:58:03,160 --> 00:58:05,320
Speaker 1: Parade, I'm like, there's nothing else to do.

1188
00:58:05,320 --> 00:58:08,520
Speaker 5: Do you think that now, maybe because World Cup tourism

1189
00:58:08,680 --> 00:58:10,959
Speaker 5: in New York City that there would be people from

1190
00:58:11,040 --> 00:58:15,040
Speaker 5: I don't know, like Iran or something that gets to the.

1191
00:58:16,880 --> 00:58:20,200
Speaker 3: People from Iran. They actually they had to go. They

1192
00:58:20,280 --> 00:58:22,840
Speaker 3: couldn't get to Seattle. I don't know that they went

1193
00:58:22,880 --> 00:58:26,520
Speaker 3: to the parin no no, no, no no. So CJ is saying, like,

1194
00:58:26,720 --> 00:58:29,600
Speaker 3: do we think that maybe like because of the World

1195
00:58:29,640 --> 00:58:34,560
Speaker 3: Cup likes a group of people like Iranians who don't

1196
00:58:34,600 --> 00:58:35,680
Speaker 3: have anything like that.

1197
00:58:35,920 --> 00:58:38,520
Speaker 2: It's you know, it's illegal to be gay in Iran, right,

1198
00:58:38,640 --> 00:58:42,560
Speaker 2: so are they now here experiencing that? And I was

1199
00:58:42,640 --> 00:58:45,800
Speaker 2: just saying that I don't think they're in New York anymore.

1200
00:58:46,720 --> 00:58:49,720
Speaker 2: I think they had to leave because of some weird

1201
00:58:49,960 --> 00:58:50,960
Speaker 2: immigration thing.

1202
00:58:51,160 --> 00:58:54,240
Speaker 1: Now you can't just like be here, yeah, vibe and

1203
00:58:54,760 --> 00:58:55,760
Speaker 1: like as I.

1204
00:58:55,800 --> 00:58:58,080
Speaker 2: Wonder what kind of vise that the players have.

1205
00:58:58,520 --> 00:59:02,840
Speaker 1: I don't know. I did a heated rivalry breakdown of

1206
00:59:02,880 --> 00:59:08,000
Speaker 1: the immigration status of Ilya. People really loved that, but

1207
00:59:08,320 --> 00:59:11,520
Speaker 1: it was more comedy than I think. Sure it was

1208
00:59:11,680 --> 00:59:13,160
Speaker 1: wonder based on truth.

1209
00:59:13,240 --> 00:59:16,360
Speaker 2: I wonder what kind of visa it is, because well, there's.

1210
00:59:16,240 --> 00:59:20,000
Speaker 1: Like extraordinary skill uses, but that's really for like a

1211
00:59:20,080 --> 00:59:21,040
Speaker 1: long term stary.

1212
00:59:21,080 --> 00:59:24,320
Speaker 3: That's for somebody who's like like employed.

1213
00:59:23,800 --> 00:59:25,960
Speaker 1: Who's going to like be here playing for the next

1214
00:59:26,080 --> 00:59:29,400
Speaker 1: or something like that would be how you would get

1215
00:59:29,440 --> 00:59:30,240
Speaker 1: that long term right.

1216
00:59:30,240 --> 00:59:32,720
Speaker 2: So do you think it's just a yeah.

1217
00:59:32,560 --> 00:59:34,080
Speaker 1: I would have I would imagine so.

1218
00:59:34,160 --> 00:59:37,520
Speaker 5: Yeah, I actually have no idea with the host nations

1219
00:59:37,600 --> 00:59:39,680
Speaker 5: to make an exception for the PJ hired.

1220
00:59:40,120 --> 00:59:42,520
Speaker 1: He's hired. Look at him sing.

1221
00:59:42,640 --> 00:59:46,560
Speaker 5: For the Iranian team. The players on the team, they

1222
00:59:46,640 --> 00:59:50,040
Speaker 5: the DHS said that they had ties to the IRGC.

1223
00:59:50,600 --> 00:59:51,920
Speaker 1: Yeah, they couldn't. They couldn't.

1224
00:59:52,120 --> 00:59:53,200
Speaker 5: That's why they couldn't stay.

1225
00:59:53,320 --> 00:59:57,040
Speaker 2: They they They were interviewing one.

1226
00:59:56,880 --> 01:00:00,400
Speaker 3: Of the players and he was saying, how yeah, this

1227
01:00:00,480 --> 01:00:01,800
Speaker 3: has been a disaster for them.

1228
01:00:01,920 --> 01:00:05,400
Speaker 1: I want to like, I just I can't not say.

1229
01:00:06,000 --> 01:00:09,640
Speaker 1: This is just such a nightmare for us. The geopolitics

1230
01:00:09,680 --> 01:00:12,640
Speaker 1: of what we have done, all we have dug ourselves

1231
01:00:12,640 --> 01:00:14,600
Speaker 1: into is going to take twenty years to get out of.

1232
01:00:14,760 --> 01:00:17,960
Speaker 2: Absolutely, we should never be allowed to host anything like this.

1233
01:00:18,000 --> 01:00:21,120
Speaker 1: Again, people aren't shaking jd Vance's hand at like global

1234
01:00:21,120 --> 01:00:26,080
Speaker 1: summits like that. No, But it's like that's how in

1235
01:00:26,120 --> 01:00:30,480
Speaker 1: the dumps. Reputation is like these little decisions, this reflection pool.

1236
01:00:31,280 --> 01:00:33,800
Speaker 3: But these were not little decisions, right, These are like

1237
01:00:34,040 --> 01:00:37,640
Speaker 3: because sixteen million dollars on a pool that doesn't work

1238
01:00:37,840 --> 01:00:42,240
Speaker 3: is not a little decision. When you have cut medicaid

1239
01:00:42,360 --> 01:00:44,240
Speaker 3: Medicare food stamps.

1240
01:00:44,800 --> 01:00:49,240
Speaker 1: Right. I was abroad for a few weeks and I

1241
01:00:49,280 --> 01:00:53,240
Speaker 1: was trying to keep up with the news and I

1242
01:00:53,360 --> 01:00:56,720
Speaker 1: could only get like certain local news channels, and they

1243
01:00:56,720 --> 01:01:00,680
Speaker 1: were always cutting away to Marco Rubio because he is

1244
01:01:01,600 --> 01:01:03,840
Speaker 1: sort of like the person you cut to when you're

1245
01:01:03,840 --> 01:01:07,200
Speaker 1: talking about international news. And I was like, oh my god,

1246
01:01:07,240 --> 01:01:10,760
Speaker 1: this whole country thinks this guy is like our are

1247
01:01:10,840 --> 01:01:13,320
Speaker 1: appointed authority that we we all.

1248
01:01:14,400 --> 01:01:16,439
Speaker 2: They couldn't possibly well, I will.

1249
01:01:16,480 --> 01:01:18,760
Speaker 1: I was concerned because I was like, every single day

1250
01:01:18,800 --> 01:01:22,520
Speaker 1: I'm watching the news and they're talking about crazy thing happens.

1251
01:01:22,920 --> 01:01:24,920
Speaker 1: Let's cut to Marco Rubio, Who's going to tell you

1252
01:01:24,960 --> 01:01:26,760
Speaker 1: about it? And I was like, not her.

1253
01:01:27,160 --> 01:01:33,600
Speaker 3: I don't think that the world over thinks that that

1254
01:01:33,720 --> 01:01:35,640
Speaker 3: most Americans.

1255
01:01:35,560 --> 01:01:36,680
Speaker 2: Hope, I don't think.

1256
01:01:36,960 --> 01:01:39,680
Speaker 1: I was very much like, oh please, I don't think so,

1257
01:01:39,760 --> 01:01:41,480
Speaker 1: please please do a quick google.

1258
01:01:43,040 --> 01:01:45,800
Speaker 2: I don't think, though. I've had people ask me to

1259
01:01:45,840 --> 01:01:48,280
Speaker 2: be like so, like, are you guys all right? What's

1260
01:01:48,280 --> 01:01:49,120
Speaker 2: going on? Do you know?

1261
01:01:49,120 --> 01:01:49,160
Speaker 3: What?

1262
01:01:49,240 --> 01:01:53,080
Speaker 2: I mean? Like? People are you okay?

1263
01:01:53,360 --> 01:01:54,920
Speaker 1: And then they tell me where they're from, and I'm like,

1264
01:01:55,080 --> 01:01:55,920
Speaker 1: you're worried about me?

1265
01:01:57,280 --> 01:01:57,480
Speaker 3: Yeah?

1266
01:01:57,560 --> 01:02:00,320
Speaker 1: I know, but like fair, fair.

1267
01:02:00,000 --> 01:02:03,080
Speaker 2: They're paying attention. They're paying attention, So I get it.

1268
01:02:04,440 --> 01:02:06,200
Speaker 1: This, This tells from the dms. This are all the

1269
01:02:06,240 --> 01:02:09,520
Speaker 1: wicked and wild freak things to send us everybody.

1270
01:02:09,520 --> 01:02:10,520
Speaker 2: What do I always say?

1271
01:02:10,680 --> 01:02:14,880
Speaker 3: While Michael is a lawyer, he's not your lawyer, so

1272
01:02:15,920 --> 01:02:16,720
Speaker 3: find someone else.

1273
01:02:16,840 --> 01:02:17,880
Speaker 1: But I am that bitch.

1274
01:02:18,960 --> 01:02:21,440
Speaker 2: Yeah, he's definitely a bit.

1275
01:02:21,680 --> 01:02:24,280
Speaker 1: I'm not the two or the three. I'm the one.

1276
01:02:24,520 --> 01:02:25,400
Speaker 1: It is that that saying.

1277
01:02:25,480 --> 01:02:26,040
Speaker 2: I don't know.

1278
01:02:26,440 --> 01:02:28,320
Speaker 1: I think people say that I might have mixed it up.

1279
01:02:28,440 --> 01:02:33,440
Speaker 3: Okay, so we have a bunch she said, Okay, disregard anyway.

1280
01:02:34,680 --> 01:02:39,680
Speaker 2: So we have some really cute reviews. So I want

1281
01:02:39,680 --> 01:02:41,240
Speaker 2: to read this one because I thought it was fun.

1282
01:02:42,040 --> 01:02:43,280
Speaker 1: Which episode is it from?

1283
01:02:43,680 --> 01:02:46,479
Speaker 2: Can we call out gay from work in Pride Month?

1284
01:02:46,680 --> 01:02:47,200
Speaker 1: Okay?

1285
01:02:47,400 --> 01:02:50,040
Speaker 2: So this is Swedish Latina. It just reminded me of

1286
01:02:50,080 --> 01:02:50,439
Speaker 2: my mom.

1287
01:02:50,760 --> 01:02:53,480
Speaker 3: My Latina mom sent me to school with the dislocated

1288
01:02:53,480 --> 01:02:56,920
Speaker 3: thumb worth mentioning that I was only born I was

1289
01:02:56,960 --> 01:02:59,720
Speaker 3: born with only one hand, so it's a bit difficult

1290
01:03:00,160 --> 01:03:00,920
Speaker 3: navigate with that a.

1291
01:03:00,960 --> 01:03:03,280
Speaker 2: Functioning hand, something that my mother would do.

1292
01:03:03,320 --> 01:03:03,480
Speaker 3: Now.

1293
01:03:03,520 --> 01:03:05,600
Speaker 2: I don't know this person is for real or if

1294
01:03:05,600 --> 01:03:09,040
Speaker 2: they're kidding, but like, yeah.

1295
01:03:09,160 --> 01:03:11,440
Speaker 1: I was born with only one hand.

1296
01:03:11,600 --> 01:03:15,280
Speaker 3: Swedish Latina, Are you making fun of us Swedish Latina.

1297
01:03:16,280 --> 01:03:20,000
Speaker 1: That's an example. Well, they've written ambushies. That's also an

1298
01:03:20,040 --> 01:03:24,360
Speaker 1: example of immigration and sports and having a person of

1299
01:03:24,440 --> 01:03:27,800
Speaker 1: color on it. Yeah, so Swedish Latina. Let us know

1300
01:03:27,840 --> 01:03:31,360
Speaker 1: if you play soccer. This one's from Nick's Knockouts and

1301
01:03:31,440 --> 01:03:34,240
Speaker 1: Congressional call Outs with Laura Dunn. Who thought of that title?

1302
01:03:35,400 --> 01:03:36,560
Speaker 1: Who thought of that title?

1303
01:03:36,760 --> 01:03:40,600
Speaker 2: It was CJ. But we co signed CJ. We co signed.

1304
01:03:40,680 --> 01:03:46,120
Speaker 1: That's tongue twist Aarah. Okay, this person at Laura duncan Okay,

1305
01:03:46,240 --> 01:03:49,360
Speaker 1: this is it's Laura. It didn't say the real Laura

1306
01:03:49,400 --> 01:03:50,840
Speaker 1: Done for congress.

1307
01:03:51,200 --> 01:03:52,600
Speaker 2: No, her thing doesn't say that.

1308
01:03:55,360 --> 01:03:57,560
Speaker 1: We're so Funae at the end of the episode, okay,

1309
01:03:57,640 --> 01:04:00,840
Speaker 1: Laura done. Our guest from that episode commented and said,

1310
01:04:00,920 --> 01:04:04,520
Speaker 1: always do skirt suits or dresses and high heels. Flats

1311
01:04:04,520 --> 01:04:05,480
Speaker 1: are too informal.

1312
01:04:05,600 --> 01:04:10,480
Speaker 3: As an attorney, however, CJ's sister, who was an attorney,

1313
01:04:10,640 --> 01:04:15,000
Speaker 3: texted him saying female attorneys absolutely have to wear heels

1314
01:04:15,000 --> 01:04:17,959
Speaker 3: in certain courtrooms depending on the judge. And we talked

1315
01:04:17,960 --> 01:04:21,400
Speaker 3: to each other about the judge who will care so gross. Wow,

1316
01:04:21,440 --> 01:04:25,280
Speaker 3: some require skirts for female attorneys. Michael is talking about

1317
01:04:25,320 --> 01:04:28,720
Speaker 3: wearing neutral for juries. But in family law with no jury,

1318
01:04:28,760 --> 01:04:29,840
Speaker 3: it's all about the judge.

1319
01:04:29,920 --> 01:04:32,840
Speaker 1: Yeah, there's no jury deciding like the custody of your child.

1320
01:04:34,000 --> 01:04:36,160
Speaker 1: Let it just go right to the judge. I have

1321
01:04:36,320 --> 01:04:39,920
Speaker 1: something to say about this course because I was traveling

1322
01:04:40,000 --> 01:04:44,240
Speaker 1: for a trial and this was last week, and I

1323
01:04:44,440 --> 01:04:45,840
Speaker 1: forgot my shoes.

1324
01:04:46,640 --> 01:04:47,640
Speaker 2: Do you forgot your shoes?

1325
01:04:47,760 --> 01:04:50,400
Speaker 1: I forgot to pack like dress shoes for court.

1326
01:04:50,520 --> 01:04:51,680
Speaker 2: Would you have sneakers?

1327
01:04:51,920 --> 01:04:55,640
Speaker 1: Sneakers? These sneakers can we on sean Okay? I don't

1328
01:04:55,680 --> 01:04:57,920
Speaker 1: think they're out a frame, just white sneakers. And I

1329
01:04:58,000 --> 01:05:01,600
Speaker 1: was like, oh, I figured out. I had gone out

1330
01:05:01,600 --> 01:05:05,160
Speaker 1: dinner with my friend I was visiting, hadn't seen her

1331
01:05:05,160 --> 01:05:09,520
Speaker 1: in forever, and I got home late. It was eleven,

1332
01:05:09,640 --> 01:05:13,200
Speaker 1: it was like late, and court was early the next day,

1333
01:05:13,280 --> 01:05:16,120
Speaker 1: and I had given myself just enough time to go

1334
01:05:16,160 --> 01:05:19,960
Speaker 1: to sleep. I and I'm just laying on my alpha

1335
01:05:20,000 --> 01:05:22,720
Speaker 1: for the next day, and I realized I only have sneakers.

1336
01:05:23,560 --> 01:05:24,960
Speaker 2: So I'm like, what'd you do?

1337
01:05:25,480 --> 01:05:28,080
Speaker 1: I called my friend and I was like, what size

1338
01:05:28,120 --> 01:05:31,520
Speaker 1: is your boyfriend? What size shoe does he wear? It

1339
01:05:31,600 --> 01:05:34,200
Speaker 1: was going to be like a Thumbelina situation, because I'm like,

1340
01:05:34,720 --> 01:05:37,120
Speaker 1: I'm a thirteen and he was like an eight, Like

1341
01:05:37,200 --> 01:05:40,120
Speaker 1: he's got little nine. There was no way it was

1342
01:05:40,200 --> 01:05:42,200
Speaker 1: going to be. It was going to be the ugly

1343
01:05:42,240 --> 01:05:46,960
Speaker 1: stepsister in Cinderella just shoving her massive foot into the shoes. Yeah.

1344
01:05:47,040 --> 01:05:49,320
Speaker 1: So I got in an uber and I went to

1345
01:05:50,760 --> 01:05:55,640
Speaker 1: like a Walmart, like a big box store, and forty

1346
01:05:55,720 --> 01:05:59,720
Speaker 1: dollars for the ugliest shoes. I would not wish these

1347
01:05:59,720 --> 01:06:03,360
Speaker 1: shoes upon any ex boyfriend, any enemy, nobody.

1348
01:06:03,560 --> 01:06:04,520
Speaker 2: So what do you do with the shoes?

1349
01:06:04,760 --> 01:06:07,520
Speaker 1: Well? I was like, do I even donate these monstrosities

1350
01:06:07,560 --> 01:06:09,840
Speaker 1: after I use them? I did. I put them in

1351
01:06:10,000 --> 01:06:12,800
Speaker 1: I put them in the box outside my building of

1352
01:06:12,920 --> 01:06:15,240
Speaker 1: donating shoes. But I did only wear them once and

1353
01:06:15,280 --> 01:06:17,720
Speaker 1: I spend forty dollars. I was honestly like, these might

1354
01:06:17,760 --> 01:06:20,480
Speaker 1: be more prejudicial to the judge than the white sneakers.

1355
01:06:20,520 --> 01:06:22,800
Speaker 2: They were so ugly, they were so bad.

1356
01:06:23,040 --> 01:06:27,720
Speaker 1: But they were like it was really it was rough,

1357
01:06:28,160 --> 01:06:31,720
Speaker 1: But yeah, I really had a moment where I was like, Wow,

1358
01:06:31,760 --> 01:06:34,640
Speaker 1: I'm living that question from the pod. Will it be

1359
01:06:34,720 --> 01:06:37,360
Speaker 1: more prejudicial for me to show up looking a little

1360
01:06:37,400 --> 01:06:41,560
Speaker 1: bit more informal than to take that extra step, and

1361
01:06:41,680 --> 01:06:43,200
Speaker 1: I took that extra step.

1362
01:06:43,440 --> 01:06:44,640
Speaker 2: What do you think would have happened?

1363
01:06:45,240 --> 01:06:47,680
Speaker 1: Well, now that I've been in the courtroom, m I

1364
01:06:47,720 --> 01:06:49,800
Speaker 1: don't think the judge would have ever really seen my

1365
01:06:49,920 --> 01:06:52,960
Speaker 1: feet because the table was really big and I was

1366
01:06:53,080 --> 01:06:56,120
Speaker 1: miked and I didn't have to stand and pace or anything,

1367
01:06:56,200 --> 01:06:59,320
Speaker 1: so I was seated at a table miked. So really

1368
01:06:59,360 --> 01:07:02,080
Speaker 1: just me getting from the gallery to my seat would

1369
01:07:02,080 --> 01:07:04,560
Speaker 1: be that would be when the judge she would have

1370
01:07:04,600 --> 01:07:05,440
Speaker 1: seen my shoes.

1371
01:07:06,000 --> 01:07:07,720
Speaker 2: But you didn't. But you didn't know that going in.

1372
01:07:07,880 --> 01:07:09,600
Speaker 2: So yeah, you decided to err on.

1373
01:07:09,760 --> 01:07:12,280
Speaker 1: Now I know, but I'm still going to bring You know,

1374
01:07:12,320 --> 01:07:14,479
Speaker 1: if I go before that judge again, I'm absolutely bringing

1375
01:07:14,560 --> 01:07:17,320
Speaker 1: dress shoes. I wouldn't be like, let me fuck around.

1376
01:07:17,480 --> 01:07:22,240
Speaker 3: No no, no, no, you forgot no, yeah, yeah forgot, yeah, Okay, okay, Alexa.

1377
01:07:23,640 --> 01:07:26,720
Speaker 3: I'm gay as the wind. I'm gay as the wind,

1378
01:07:27,000 --> 01:07:29,600
Speaker 3: and I won't be in today and possibly tomorrow too.

1379
01:07:30,480 --> 01:07:30,880
Speaker 2: Heart.

1380
01:07:32,280 --> 01:07:35,200
Speaker 1: I think it's good. I think it's healthy, especially now

1381
01:07:35,200 --> 01:07:37,640
Speaker 1: that d I is getting cut. Call your boss and

1382
01:07:37,680 --> 01:07:39,360
Speaker 1: tell them how gay you are and let them know

1383
01:07:39,400 --> 01:07:41,120
Speaker 1: you're not coming to work. And you know what the

1384
01:07:41,120 --> 01:07:45,040
Speaker 1: ball is now in their court. Let them fire your ass.

1385
01:07:44,240 --> 01:07:46,400
Speaker 2: For being gay, for being gay, and then you can

1386
01:07:46,440 --> 01:07:47,959
Speaker 2: sue them. Let's go love it.

1387
01:07:47,960 --> 01:07:52,240
Speaker 1: Let's dance, Let's dance. You know what. We're in a

1388
01:07:52,320 --> 01:07:57,240
Speaker 1: staring contest and I ain't got it's from Pride. Month's

1389
01:07:57,240 --> 01:08:00,560
Speaker 1: special conversion therapy is abuse. Shila turn in her twenty

1390
01:08:00,560 --> 01:08:03,120
Speaker 1: three says, I would ride my beach cruiser to the

1391
01:08:03,160 --> 01:08:09,080
Speaker 1: tanning bed every day until like twenty eleven. She was

1392
01:08:09,160 --> 01:08:12,720
Speaker 1: taking her beach cruiser to the tanning bed. Twenty eleven

1393
01:08:12,880 --> 01:08:15,920
Speaker 1: was that was? That was a year when everyone was

1394
01:08:16,000 --> 01:08:18,400
Speaker 1: really eyes wide open about the tanning beds being bad

1395
01:08:18,400 --> 01:08:20,479
Speaker 1: for you. No one was. There were very few pro

1396
01:08:20,600 --> 01:08:21,599
Speaker 1: tanning bed folks.

1397
01:08:21,800 --> 01:08:23,360
Speaker 2: Are people still using tanging beds?

1398
01:08:23,479 --> 01:08:23,920
Speaker 1: I don't know.

1399
01:08:24,000 --> 01:08:25,280
Speaker 2: Are you just using self tanner?

1400
01:08:25,640 --> 01:08:28,200
Speaker 1: I would be hard pressed to find one a tanning

1401
01:08:28,200 --> 01:08:37,000
Speaker 1: bed right you're asking me, you're asking me, I don't

1402
01:08:37,000 --> 01:08:37,840
Speaker 1: see color.

1403
01:08:39,240 --> 01:08:42,000
Speaker 2: When people say that, When people say that, still say that,

1404
01:08:42,080 --> 01:08:42,560
Speaker 2: don't say that.

1405
01:08:43,439 --> 01:08:45,840
Speaker 1: But I would be hard pressed to find a tanning

1406
01:08:45,840 --> 01:08:48,640
Speaker 1: bread right now. If I need, if someone had a

1407
01:08:48,640 --> 01:08:51,360
Speaker 1: gun to my head, I'd be like, I don't really know.

1408
01:08:51,600 --> 01:08:53,400
Speaker 3: I feel like people have gone the way of self

1409
01:08:53,439 --> 01:08:54,719
Speaker 3: tan or maybe spray tans.

1410
01:08:54,800 --> 01:08:56,639
Speaker 1: I went to a spray ten with my friend once.

1411
01:08:57,360 --> 01:08:58,439
Speaker 1: Have you ever seen how they do it?

1412
01:08:58,520 --> 01:09:00,280
Speaker 2: We aren't You want to look a look a diperl and

1413
01:09:00,320 --> 01:09:00,920
Speaker 2: you're just yeah.

1414
01:09:00,800 --> 01:09:03,800
Speaker 1: Pretty much. But the one she I don't know why

1415
01:09:03,880 --> 01:09:07,080
Speaker 1: what was I doing there, but it was it was

1416
01:09:07,120 --> 01:09:10,559
Speaker 1: like a booth where they basically like shoot it at you. Yes,

1417
01:09:11,080 --> 01:09:14,439
Speaker 1: I thought it was like an airbrush person. Oh, she

1418
01:09:14,479 --> 01:09:17,280
Speaker 1: went into like a machine that just like kind of

1419
01:09:17,960 --> 01:09:21,120
Speaker 1: it's like a firing squad, just like shell act and

1420
01:09:21,160 --> 01:09:23,840
Speaker 1: then there's like an alarm and you turn to the

1421
01:09:23,880 --> 01:09:24,599
Speaker 1: other side.

1422
01:09:24,840 --> 01:09:27,200
Speaker 3: So you're really hoping that the person who's doing it

1423
01:09:27,240 --> 01:09:29,599
Speaker 3: is skilled and knows how to do it evenly, otherwise

1424
01:09:29,640 --> 01:09:31,479
Speaker 3: you'll end up person.

1425
01:09:32,280 --> 01:09:34,400
Speaker 1: Was this was like a phone booth. You walk in

1426
01:09:35,120 --> 01:09:37,559
Speaker 1: and you press the button. It's like the automatic car wash.

1427
01:09:37,640 --> 01:09:39,200
Speaker 2: So it's probably better than a person.

1428
01:09:40,120 --> 01:09:43,840
Speaker 1: I feel like, maybe not, I feel like a person. Well, yeah,

1429
01:09:43,840 --> 01:09:46,200
Speaker 1: I guess the human error. Yeah you're right, yeah right?

1430
01:09:46,320 --> 01:09:50,000
Speaker 2: But then is she was she wearing like a bonnet too?

1431
01:09:50,280 --> 01:09:52,200
Speaker 1: Yeah, she was wearing she had like a whole pre

1432
01:09:52,800 --> 01:09:55,080
Speaker 1: and then it was just like a lady at the counter.

1433
01:09:55,640 --> 01:09:58,320
Speaker 1: I think it got her face too. Yeah, I mean

1434
01:09:58,360 --> 01:10:02,840
Speaker 1: she looked chopped. So it's not good. You know what.

1435
01:10:02,920 --> 01:10:05,160
Speaker 1: Let's get out of here before I offense everyone in

1436
01:10:05,160 --> 01:10:08,080
Speaker 1: my life and alienate all friends colleagues.

1437
01:10:08,280 --> 01:10:11,839
Speaker 3: Loved what I mean as somebody who's never gone tanning

1438
01:10:12,000 --> 01:10:13,320
Speaker 3: have Now I have questions.

1439
01:10:13,479 --> 01:10:15,240
Speaker 1: Now, we have a lot of questions. Let us know

1440
01:10:15,320 --> 01:10:19,200
Speaker 1: your weirdest tanning story. I want to know, did you

1441
01:10:19,240 --> 01:10:21,200
Speaker 1: go into labor in a tanning bed? Let us know.

1442
01:10:23,080 --> 01:10:26,240
Speaker 3: I have an aunt who really hates it when we

1443
01:10:26,520 --> 01:10:28,240
Speaker 3: get to like she doesn't want us to be in

1444
01:10:28,280 --> 01:10:29,799
Speaker 3: the sun right and.

1445
01:10:29,720 --> 01:10:34,120
Speaker 2: She always says she was just like, well, you look

1446
01:10:34,200 --> 01:10:35,519
Speaker 2: like a woosted ducky.

1447
01:10:38,280 --> 01:10:39,479
Speaker 3: She does, she.

1448
01:10:41,120 --> 01:10:46,400
Speaker 2: Woosted ducky. She has said that to me many times.

1449
01:10:47,320 --> 01:10:49,920
Speaker 2: I'm what, like, this is what she says.

1450
01:10:51,880 --> 01:10:57,519
Speaker 3: Anyway, somebody says Caitlin Curry says, Hi, I do like

1451
01:10:57,560 --> 01:10:58,519
Speaker 3: apparol sprits.

1452
01:10:58,640 --> 01:11:01,240
Speaker 2: Lol. I mean I've had some ones, but generally I

1453
01:11:01,280 --> 01:11:02,040
Speaker 2: do enjoyed them.

1454
01:11:02,080 --> 01:11:06,680
Speaker 3: Happy pride, y'all, the rosa turkey.

1455
01:11:07,560 --> 01:11:13,599
Speaker 1: I gotta go the part I have the church giggles,

1456
01:11:13,680 --> 01:11:17,160
Speaker 1: They're not gonna go away. I gotta go. Thank you

1457
01:11:17,200 --> 01:11:19,920
Speaker 1: for watching everyone. This has been Brief re since I

1458
01:11:20,280 --> 01:11:25,120
Speaker 1: don't know what's wrong. We'll see you next week. I

1459
01:11:25,120 --> 01:11:28,040
Speaker 1: don't know why that's so funny in my forehead popping out.

1460
01:11:29,479 --> 01:11:31,479
Speaker 2: I'm gonna tell my cousin that I just shut it out.

1461
01:11:31,479 --> 01:11:37,040
Speaker 2: Her Mond Wsted Turkey, I'm kind of hungry.

1462
01:11:39,080 --> 01:11:42,440
Speaker 1: This has been an Exactly Right production recorded at iHeart Studios,

1463
01:11:42,560 --> 01:11:44,400
Speaker 1: hosted by Me, Michael Foote.

1464
01:11:44,160 --> 01:11:47,120
Speaker 2: And Me Melissa Malbranch. Our producer is CJ. Ferroni.

1465
01:11:47,280 --> 01:11:49,520
Speaker 1: This episode was edited by Nicholas Galucci.

1466
01:11:49,720 --> 01:11:52,759
Speaker 3: Our associate producer is Christina Chamberlain, and our guest booker

1467
01:11:52,880 --> 01:11:53,839
Speaker 3: is Patria Cottner.

1468
01:11:54,120 --> 01:11:56,799
Speaker 1: Our theme song was composed by Tom Briefogel, with artwork

1469
01:11:56,800 --> 01:12:00,000
Speaker 1: from Charlotte Delarue and Vanessa Lilac, with photography by brand

1470
01:12:00,200 --> 01:12:00,639
Speaker 1: O Bono.

1471
01:12:00,920 --> 01:12:04,439
Speaker 2: Brief Recess is executive produced by Karen Kilgareff, Georgia hart

1472
01:12:04,479 --> 01:12:05,839
Speaker 2: Stark and Danielle Kramer.

1473
01:12:05,920 --> 01:12:08,240
Speaker 1: You can find me on Instagram at Department of Redundancy

1474
01:12:08,240 --> 01:12:10,959
Speaker 1: Department or on TikTok at Michael foot.

1475
01:12:10,800 --> 01:12:13,719
Speaker 3: And I'm on both Instagram and TikTok as Melissa Malbranch.

1476
01:12:13,960 --> 01:12:18,040
Speaker 1: Got legal questions, reach out at Brief Recess at Exactlyrightmedia.

1477
01:12:18,160 --> 01:12:21,120
Speaker 1: Dot com. Listen to brief Recess on the iHeartRadio app,

1478
01:12:21,280 --> 01:12:24,360
Speaker 1: Apple podcasts, or wherever you get your podcasts, and of

1479
01:12:24,400 --> 01:12:27,360
Speaker 1: course we're a podcasts with video. Search for brief Recess

1480
01:12:27,400 --> 01:12:28,600
Speaker 1: on YouTube.