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Speaker 1: Didn't you say your dad would take you out of

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Speaker 1: school for the first two days of the March madness?

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Speaker 1: Right right?

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Speaker 2: Yeah?

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Speaker 1: Yeah. I remember when kids got taken out of school

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Speaker 1: to do non school shit. I thought that was the

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Speaker 1: sickest shit that could ever happen to you. I'm like,

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Speaker 1: what do you want? Are you going to dentist appointment

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Speaker 1: to Like, nah, dude, I'm going to wrestle Mania. I'm like,

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Speaker 1: you motherfucker wow. I mean even though that shit was

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Speaker 1: on a Sunday, but you know what I mean, Like

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Speaker 1: there were kids that would go. They're like, yeah, we're

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Speaker 1: going to the Laker game, but we're gonna go have

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Speaker 1: like we're gonna go to Phillips or something for I'm like,

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Speaker 1: this is you don't do that for your kids, though, Jack,

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Speaker 1: you don't spread that same I took.

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Speaker 2: I took my kid to Disneyland on his birthday one time.

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Speaker 2: Oh that's and it was like a Wednesday, and that

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Speaker 2: was tight because it's like less crowded and ship and yeah,

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Speaker 2: it was fun.

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Speaker 1: Would your dad ever do like frivolously be like, nah, man,

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Speaker 1: I had to go to I had to go to

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Speaker 1: fucking duncan man. I just want to go with somebody.

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Speaker 2: I mean, the first couple of days of the NCAA

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Speaker 2: tournament is kind of frivolous, Like we weren't always going

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Speaker 2: to the game. We're like, oh, watching that shit on.

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Speaker 1: Oh that's even Oh wow, hold on, bro, I'm sorry.

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Speaker 1: I'm so off my ship. I don't have any of

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Speaker 1: my ships together.

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Speaker 2: Oh yeah, so off my ship. I don't have any

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Speaker 2: of my ships together. And that is a little thing

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Speaker 2: that people probably should know about the show is that

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Speaker 2: before we.

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Speaker 1: Hit recording America together.

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Speaker 2: Miles talks about not having any of the ships together,

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Speaker 2: and I sing the Entourage at the beginning of the

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Speaker 2: Entourage theme to just get everybody.

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Speaker 3: In the right Oh yeah, just.

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Speaker 2: Make sure everybody the right mind frame. Hello the Internet,

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Speaker 2: and welcome to season three point fifty six, episode two

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Speaker 2: of Dir Daley's yea production of My Heart Radio.

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Speaker 3: This is a podcast before we take a teat into.

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Speaker 2: America's sharing consciousness, and it is America's only decided decided podcasts.

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Speaker 2: Were uh four people who are still undecided voters heading

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Speaker 2: into the upcoming election. I just don't know just what

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Speaker 2: I need more viewing parties where The New York Times

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Speaker 2: buys me snacks.

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Speaker 1: Yeah, exactly, Oh man, where the snack's good? Did they

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Speaker 1: describe what the snacks were? They're just like and we

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Speaker 1: offered them.

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Speaker 2: Yeah, it was some snack that she was like, Oh,

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Speaker 2: I can't find the red kind. You found the red kind.

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Speaker 2: I've been looking for those. Thanks. No, it wasn't Star Wars.

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Speaker 2: It was like a I think maybe like tackies or

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Speaker 2: is that.

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Speaker 1: The Blue Talkies? I mean I feel like the Blue

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Speaker 1: Talkies are more sought after these days.

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Speaker 2: Yeah, I don't know, man, or.

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Speaker 1: Maybe they're looking for cigarettes like Marlboroughs and like, oh

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Speaker 1: you got the reds hell?

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Speaker 2: Yeah? Anyways, great?

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Speaker 3: Uh.

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Speaker 2: New York Times podcast called The run Up. They give

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Speaker 2: it give us a looking to how they reviewed the

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Speaker 2: last debate with an undecided voter, and it involved flying

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Speaker 2: to their house and buying them a bunch of snacks,

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Speaker 2: right to reward them for their racism. Anyways, It's Tuesday,

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Speaker 2: September seventeenth, twenty twenty four.

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Speaker 3: Did we say that yet?

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Speaker 1: Did we?

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Speaker 2: I don't think?

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Speaker 4: So?

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Speaker 1: What does that mean? Can you tell me? Can I

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Speaker 1: tell you? But I've been sick, man, you know, I'm

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Speaker 1: off my ship. You know what? It's National Professional House

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Speaker 1: Cleaner's Day, National Apple Dumpling Day. Remember what was the

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Speaker 1: Apple Dumpling Gang?

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Speaker 5: Was that?

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Speaker 1: Like? What the fuck was that? Was that a show

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Speaker 1: or a book or an I.

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Speaker 2: Think I think that right, wasn't it with alfalfa? Was

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Speaker 2: that apple dumping Gang?

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Speaker 1: That's little rascals. Little rascal Yeah, anyway, Apple Gang. Because

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Speaker 1: Constitution Day and Citizenship Day, National Voter Registration Day, National

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Speaker 1: It Professionals Day, and shout out to all my homies

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Speaker 1: who like to have their sandwiches dusted. And I don't

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Speaker 1: mean problematically, I mean with a little powdered sugar because

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Speaker 1: it's National Moni Crystal Day. I love a money Crystal.

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Speaker 2: Is that what a money crystal is?

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Speaker 1: Fried Ham and cheese sandwich a little bit of powdered

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Speaker 1: sugar on it? Could only could only be American.

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Speaker 2: Apple Dumpling Gang is a film from nineteen seventy five,

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Speaker 2: a comedy western film starring Don Knotts all Right in

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Speaker 2: a movie for Disney. Oh that's why I like love Knots.

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Speaker 1: They do they do?

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Speaker 3: They ways. My name is Jack O'Brien aka.

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Speaker 4: If I purse my lips, then will you still call

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Speaker 4: me Superman?

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Speaker 2: S ou p if I drink from a straw.

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Speaker 4: Will Jesse Waters misunderstand, I'll teach you all the ways

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Speaker 4: they mask their forgillity fuck the right.

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Speaker 2: That is courtesy of the One the Only Hamburger. Time

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Speaker 2: on the Discord, Yummy, and I'm thrilled to be joined

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Speaker 2: as always by my co host mister Miles Grass.

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Speaker 1: Miles Gray back from a long delay. I'm still the

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Speaker 1: showgun with no gun, or the showgun with no buns,

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Speaker 1: the lord of non existent now guys, the man whose

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Speaker 1: backside is flatter than Kyrie's earth. Shout out scheming Chuck

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Speaker 1: on the discord, because yeah, talk about my how my

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Speaker 1: my glutes are suffering from podcasts. Although look, part of

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Speaker 1: getting on my my health kickback, I'm on that bike.

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Speaker 1: I'm working these glutes. They're gonna be plump.

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Speaker 2: Oh yeah yeah, sit on that flat ass the will

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Speaker 2: you do that? Yeah that's true.

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Speaker 1: My forty year old ass. I'm like looking at him, like, bro,

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Speaker 1: you need to hit this bike man, just like yeah, yeah.

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Speaker 1: It's the shape of my chair as if like it's

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Speaker 1: like Plato and it's absorbed to the chair.

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Speaker 2: Compare a normal human body today to the Greek sculptures

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Speaker 2: and the ass is going to jump out at you.

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Speaker 2: They had ass.

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Speaker 1: Yeah, yeah, they did well.

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Speaker 2: Miles, as was mentioned on yesterday's Trending episode, a great

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Speaker 2: big happy birthday to you, Oh, thank you, thank you,

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Speaker 2: and also a great big happy birthday to our guests.

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Speaker 1: Oh.

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Speaker 2: A brilliant talented writer, podcaster, producer who's written for publications

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Speaker 2: like The New York Times of New Yorker. Was a

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Speaker 2: producer on Everybody's in La. One of my favorite things

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Speaker 2: that happened on TV in the last year. Was a

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Speaker 2: co host of the legendary podcast Girls and Hoodies and

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Speaker 2: Night Call. The writer, creator and host of the wonderful

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Speaker 2: podcast Heidi World, The Heidi Fly Story and writer creator

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Speaker 2: and host of the legendary podcast Jenna World. Please welcome

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Speaker 2: back to the show, Molly Wimber.

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Speaker 6: But that was just like you had to hold me

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Speaker 6: back there, or when you were talking about what the

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Speaker 6: Apple Dumpling Gang is, I'm like, it's a Disney movie,

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Speaker 6: children's movie.

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Speaker 2: I was like, I just well know that went on

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Speaker 2: Molly's face when I said, oh, that's the one with Alfalfa, right.

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Speaker 6: Yeah. It was like taking everything in my in my

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Speaker 6: power not to go rascals.

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Speaker 1: Right, talking about tweeting them. Weren't in that Apple Dumpling Gang.

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Speaker 1: I'm just trying to remember what I.

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Speaker 6: Like different gangs of children.

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Speaker 3: And.

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Speaker 2: Yeah, it was bad for the streets.

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Speaker 1: Oh yeah it was. I remember the blood in the

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Speaker 1: streets that year seventy two. But it was one of

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Speaker 1: those It was one of those things. I think I

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Speaker 1: only remember it because it felt like like the videos

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Speaker 1: you would watch on a rainy day at school, Like

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Speaker 1: you would be on the cart and they'd be like,

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Speaker 1: all right, we've got goonies Apple Dumpling Gang or the

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Speaker 1: second tape from Roots and we're like, all right, goonies,

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Speaker 1: I guess. And I was like, what the fuck is

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Speaker 1: Apple Dumpling Gang?

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Speaker 6: And Myles was like, I would like to watch the

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Speaker 6: Apple Dumpling Game Dumpling Gang for me, Miss.

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Speaker 2: Pops a big giant lollipop in his mouth.

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Speaker 1: Watch hat.

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Speaker 2: Coming back.

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Speaker 1: They're coming back.

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Speaker 3: Molly. Was recently your birthday as well as myles birthday.

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Speaker 3: We have a birthday off.

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Speaker 6: Yeah, Virgo gang. Yeahs the Little Rascals and who's the

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Speaker 6: Apple Dumpling Gang gonna?

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Speaker 1: Yeah, I'm a d G, you know what I mean?

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Speaker 6: I do The Little Rascals. They were all like you

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Speaker 6: know about the curse.

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Speaker 1: In the show, like, oh god, yeah.

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Speaker 6: Bad things happen to like all almost all of them.

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Speaker 6: I think it's kind of like, not so much that

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Speaker 6: it's a curse, is that they were all child actors

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Speaker 6: at a.

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Speaker 2: Time when there was zero accountability for powerful people.

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Speaker 3: Yeah.

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Speaker 6: Yeah, they invented the law. Yeah, one of them, Jackie Coogan.

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Speaker 6: They like invented the lot of protect child actors because

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Speaker 6: of him.

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Speaker 1: So I need a Cougan account to make money as

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Speaker 1: a child.

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Speaker 6: Wow, he's a little rascal. And then he became Uncle Fester.

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Speaker 1: Oh he was on? Wait he was yo, hold on, So.

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Speaker 6: This is the kind of this is contemporary gossip. I

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Speaker 6: bring to.

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Speaker 1: What fuck did you just say he was uncle? Which

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Speaker 1: which rascal was he?

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Speaker 6: He was like like a lesser rascal, you know, slimy or.

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Speaker 1: Something, the Irish one. He was also names.

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Speaker 2: He's also the kid and Charlie Chaplin's the kid.

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Speaker 6: Oh maybe that's what I'm thinking. Maybe he wasn't even

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Speaker 6: a little rascal and I am feeding you false information.

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Speaker 1: Okay, yeah, no, you he was not. He was not

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Speaker 1: a rascal.

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Speaker 2: It turns out he was a little rascal, but just

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Speaker 2: a little Yeah, a little fucking rascal.

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Speaker 3: And there is the problem.

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Speaker 2: I couldn't even stop myself from saying in front of

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Speaker 2: this child, yeah.

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Speaker 6: Well they're rascals, that's what they do.

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Speaker 2: Yeah, exactly, So fuck that. Let's get let's go back

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Speaker 2: in on this, all right, Molly, We're thrilled to have

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Speaker 2: you here. We're gonna get to know you a little

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Speaker 2: bit better in a moment. First, we're going to tell

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Speaker 2: the listeners a couple of the things we're talking about today.

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Speaker 2: We're talking about Laura Lumer being a problem for Trump

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Speaker 2: allies and Trump supporters allegedly. We'll see, you know, Trump

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Speaker 2: doesn't seem to be too worried about her presence around

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Speaker 2: his campaign.

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Speaker 1: But no, he seems quite excited.

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Speaker 2: The others seem okay with it. Talk about Eric Adams

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Speaker 2: just generally killing it, his just killing you office, his

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Speaker 2: mayoral office is just falling apart around him, Jesus. But

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Speaker 2: we'll also talk about this news story about a shooting.

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Speaker 2: I'll just read NYPD officer, three others shot during showdown

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Speaker 2: with armed fair beater at Brooklyn l subway station. You're

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Speaker 2: never gonna guess who did the shooting, guys, it's not

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Speaker 2: what that headline.

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Speaker 3: We'll talk about MTG.

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Speaker 2: We'll talk about of course, we don't like to acknowledge

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Speaker 2: other podcasts on this show were secure. Yeah, I will

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Speaker 2: acknowledge a good podcast for children about bugs because it's

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Speaker 2: very little overlap.

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Speaker 1: You're like, dude, they're shitting there for us too though

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Speaker 1: it's actually like really smart and like red bugs, dude

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Speaker 1: flying overhead.

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Speaker 3: I have the mind of a child.

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Speaker 1: I want know that, and.

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Speaker 2: Thank you Miles. But so there's there is a podcast

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Speaker 2: that's coming for us, and we're a little worried about it,

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Speaker 2: so we just want to get ahead of it and

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Speaker 2: tell you why it's no good. It is, of course,

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Speaker 2: the No Such Podcast, which is a cute title for

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Speaker 2: the n Essays official podcast. There they launched a podcast

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Speaker 2: is called No Such Podcast. Yeah, it's launched, baby, it's out,

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Speaker 2: and uh it's I.

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Speaker 6: Guess that means I didn't get the job.

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Speaker 2: Well, actually you had to. They kept it internal for

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Speaker 2: some reason. Uh so you had to work for the

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Speaker 2: NSA to even like work on or host this show.

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Speaker 2: They didn't can't be a one time NSA analyst. It

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Speaker 2: helped been active internal talent search. Can you imagine the

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Speaker 2: whole The whole thing just reads like a fucking corporate

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Speaker 2: communication from HR. But it is pretty wild that they've

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Speaker 2: stooped to our level, and uh.

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Speaker 3: That they like the reason why.

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Speaker 2: Yeah, it's budget cuts and it's something else. They they're

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Speaker 2: kind of victims of their own success in a way.

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Speaker 2: We'll talk about that plenty more, but first, Molly Lambert,

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Speaker 2: we do like to ask our guest, what is something

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Speaker 2: from your search history?

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Speaker 6: Oh god, I didn't think about this time.

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Speaker 2: Amazing, last time I looked around.

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Speaker 1: Find it, find it, find it?

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Speaker 3: Do you want to come back?

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Speaker 1: And no, no, she's looking.

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Speaker 6: Oh you thought you think I came with an underrated overrated.

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Speaker 1: I'm asking chat GPT right now. Uh Oh.

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Speaker 6: I was reading okay, I was reading about Perry Farrell

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Speaker 6: and Dave Navarro getting in a fifth what heen? Yeah,

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Speaker 6: they just announced the tour is canceled. The world tour.

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Speaker 1: Okay, So for people who don't know, Like over the weekend,

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Speaker 1: there was a clip of Perry Farrell like mid song,

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Speaker 1: marching up to to Dave Navarro like pushing him and

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Speaker 1: then like having like the most extreme locked up like

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Speaker 1: anger face and then started really getting in his face.

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Speaker 1: And then crew came out of the wings to like

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Speaker 1: separate them. Dave Navarro puts his guitar dow. I was like,

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Speaker 1: I'm fucking off this, and I know as a band,

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Speaker 1: they've all like there's so much infighting in and that.

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Speaker 3: Talking about of course wait, not a.

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Speaker 6: I'm not a James Addiction fan at all, but I

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Speaker 6: am a fascinated by inter band fights.

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Speaker 1: Yeah, anything, is there anything? Do we know anything?

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Speaker 6: Yeah, it sounds like they did, and they just put

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Speaker 6: out statement today that the tour is canceled now.

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Speaker 1: But like what it was over like is just because

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Speaker 1: Perry Farrell, Like.

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Speaker 6: Perry was drunk.

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Speaker 1: He was drunk. He was drunk.

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Speaker 6: He's apparently getting really drunk on the tour and like

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Speaker 6: rambling into the mic and so he was really drunk,

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Speaker 6: was like going off on some monologue and then Dave

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Speaker 6: Navarro started playing guitar to kind of be like, hey,

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Speaker 6: back to the thing that we are playing.

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Speaker 3: My political campaign here ship.

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Speaker 1: He's like, no soap boxing, Parry. We talked about this.

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Speaker 6: Yere came over and got in his face.

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Speaker 2: Bro.

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Speaker 1: I think like.

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Speaker 6: Dave Novarro seems like he's dealt with a lot of

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Speaker 6: big personalities in his life.

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Speaker 2: Yeah, you know, just in the least. I mean, the

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Speaker 2: ship is like, the fight is. Yeah, he looks like

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Speaker 2: an elderly drunk man, you know, Perry Farrow. Like the

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Speaker 2: way coming at him kind of like has his chest up.

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Speaker 2: You know when people like talk about getting your chest up.

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Speaker 2: You don't really actually see people do that until this video.

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Speaker 2: But he like really like sticks his chest out, like yeah,

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Speaker 2: it looks like yeah, yeah, exactly. It looks like a

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Speaker 2: pigeon trying to fight another pigeon. Dave nowhere. I was

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Speaker 2: just like, oh man, he's got that well worn h

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Speaker 2: This fucking guy attitude made me.

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Speaker 6: Think of an underrated, overrated, underrated and I know you

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Speaker 6: would underrated possums, underrated possums, underrated possums.

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Speaker 1: Oh fuck yeah, I love that.

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Speaker 6: I've been just seeing possums a lot recently and being like, Wow,

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Speaker 6: they are cool.

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Speaker 1: That's it. Hey, you know what they are cool. They're

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Speaker 1: cool by me. They're cool by me.

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Speaker 6: I like drop some fruit in my yard and one

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Speaker 6: like truly came out of a bush and like took

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Speaker 6: the fruit and then like disappeared back into the bush.

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Speaker 6: And I was like wow.

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Speaker 2: And you could choose to get completely freaked out by

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Speaker 2: that or a okay with it?

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Speaker 6: And you know I was like, Okay, well, okay, that's

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Speaker 6: what I'm saying. It's like, we're freaked out by possums,

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Speaker 6: overrated squirrels. Why are squirrels? Okay? Possibly tell everybody's yes

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Speaker 6: a squirrelsies.

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Speaker 3: Yeah I can't, Miles.

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Speaker 2: I'm actually reading from the termin x page. If you've

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Speaker 2: recently come across a possum, rabies might be on your mind.

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Speaker 2: These scavengers are notorious. We're going through carbage blah blah blah.

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Speaker 2: Any mammal can get rabies, but.

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Speaker 1: Generally okay, rare, but it's rare because they have such

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Speaker 1: low body temperature.

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Speaker 6: You get prepared.

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Speaker 1: My mom is a card carrying like literally of like

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Speaker 1: the American Opossum Society, because she fucking I'm not joking,

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Speaker 1: Ride or Die. I thought you said you thought possums

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Speaker 1: were cool, because maybe you caught it reading like a

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Speaker 1: Eve Babbitt's book or something. You're like, yo, I've kind

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Speaker 1: of fuck with that possum.

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Speaker 6: You think they're cool. I think they're There's the one

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Speaker 6: that lives in my yard is like so big, I

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Speaker 6: can't believe it.

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Speaker 2: Oh yeah, yeah, I've seen one walk across my yard

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Speaker 2: that is like having trouble, like it's having great success

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Speaker 2: in the food chain just eating it is it is.

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Speaker 3: Out here eating.

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Speaker 6: Right, right, So I mean for something that's like sort

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Speaker 6: of blind and right, kind of kind of big.

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Speaker 2: Looks blind as hell even if it's not blind that

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Speaker 2: she looks blind as hell.

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Speaker 1: Well, it's because their sounds are all fucked up because

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Speaker 1: they literally lead with their face into like untold danger

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Speaker 1: because they're like what the bok's going on and they're.

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Speaker 6: Like, ah, like they're weird pointy faces look like that

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Speaker 6: thing from Beetlejuice. Yeah.

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Speaker 1: Yeah, that's where a Baldwin does his like stretched out face.

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Speaker 2: Yeah, just being Alec Baldwin.

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Speaker 1: Yeah.

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Speaker 2: And then squirrels, Yeah, they're not native like they one

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Speaker 2: hundred years ago people thought, I'm just saying they don't

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Speaker 2: belong here.

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Speaker 6: Now, are you a birther? A squirrel birther?

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Speaker 2: I just remember squirrel hearing a podcast where they were like,

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Speaker 2: yeah that there were no squirrels in cities along it

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Speaker 2: like very recently. And like if you took somebody from

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Speaker 2: the past to the present, the first thing they'd notice

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Speaker 2: is they'd be like, what the fuck.

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Speaker 6: But they'd also be like, where did all the rats go?

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Speaker 2: Yeah?

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Speaker 3: Exactly.

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Speaker 2: Why don't we all have rats on your shoulders?

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Speaker 3: Yeah?

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Speaker 6: Why did the rats that you know populate every city

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Speaker 6: and run through the streets at night? Where they go?

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Speaker 3: Yeah?

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Speaker 2: One of the scariest things that you can have. One

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Speaker 2: of the scariest animal interactions you can have is one

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Speaker 2: a squirrel comes at you instead of running away when

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Speaker 2: it's just like, nah, I don't do it.

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Speaker 1: I actually, well, this says a lot about you, bro.

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Speaker 1: They pull up on you like that.

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Speaker 3: Yeah, they don't respect them.

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Speaker 6: That's what I'm gonna say. They're overreading squirrels.

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Speaker 2: Starting ship.

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Speaker 1: But they can.

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Speaker 6: They can tell you don't respect them. So they're getting

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Speaker 6: up in your face.

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Speaker 1: Wait, so wait, where does this thing about they're not

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Speaker 1: from I'm reading about native squirrel species to California? What what?

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Speaker 1: What are we talking about?

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Speaker 2: Squirrels were purposely introduced to American cities, I see to

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Speaker 2: do what? According to National Geographic, those nutty neighbors were

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Speaker 2: once seen as a benefit to urban living. I don't

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Speaker 2: know why because this is behind a paywall, but National

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Speaker 2: Geographic But.

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Speaker 1: So the knowledge ends there. Yeah, why or score introduced

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Speaker 1: to cities.

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Speaker 2: Urban reformers, who thought of the squirrel as a rural

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Speaker 2: mascot wanted to bring the animal into places like Manhattan

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Speaker 2: Central Park in order to create a bucolic atmosphere that

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Speaker 2: was entertaining and lightning and a made up word salubrious.

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Speaker 2: In eighteen forty seven, three squirrels were released in Philadelphia's

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Speaker 2: Franklin Square Park, and the rest is history.

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Speaker 1: The rest is fucking history. Oh okay, so I get okay,

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Speaker 1: So that seems maybe more of like an East Coast thing,

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Speaker 1: because I'm like, there's I've see like two types of squirrels,

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Speaker 1: like gray squirrels and like brown ground squirrels all the time.

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Speaker 2: Oh in La they are thriving and they want me

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Speaker 2: to know it, and they'll.

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Speaker 1: Rub it all those fucking acorns and the weirdest spots.

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Speaker 2: We had a squirrel get loose in my house and

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Speaker 2: like it's the squirrel that lives in our backyard and

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Speaker 2: is just you know, not scared of anybody in our

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Speaker 2: household at this point, is just like suck. And it

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Speaker 2: was it was very good experience. Uh you just we

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Speaker 2: left the back door open and he ran out, but

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Speaker 2: he at one point like was standing on a on

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Speaker 2: the dinner table, just like looking at everyone.

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Speaker 3: And then like ship at us. It was terrifying.

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Speaker 6: Yeah, I think that their lack of fear of humans

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Speaker 6: freaks me out. Like possums. No, possums are just like

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Speaker 6: like if you see a possum and it clocks that

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Speaker 6: you see it, it's kind of like no, you didn't, like.

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Speaker 1: Yeah, it'll be like, no, I'm dead.

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Speaker 6: Stop looking, I'm actually dead.

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Speaker 1: I'm actually dead. I'm not here.

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Speaker 6: Squirrels do the thing where they like make full eye

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Speaker 6: contact and they're like, yeah, that's right, I'm eating your food.

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Speaker 1: Get on their hind legs and ship. They're like, what's up, mother,

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Speaker 1: which I respect.

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Speaker 3: They're gonna do sh no, don't run, They're gonna do ship. Yeah.

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Speaker 6: Girl's gonna like steal your lunch, money, steal your girlfriend.

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Speaker 1: Yeah, just feel like, mister, steal your squirrel.

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Speaker 2: All right, let's take a quick break. We'll be right effect.

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Speaker 1: And we're back and with a plum.

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Speaker 2: Yeah, with a little plum plumb like a squirrel. So

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00:22:19,320 --> 00:22:26,199
Speaker 2: Donald Trump and Laura Lumer suddenly inseparable. Uh and she So,

435
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Speaker 2: Laura Lumer, I had trouble. If I'm being honest, I

436
00:22:31,320 --> 00:22:36,159
Speaker 2: had trouble differentiating between Laura Lumer and other right wing

437
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Speaker 2: like who's the.

438
00:22:38,760 --> 00:22:43,399
Speaker 1: Colorado one, Bobert, Bobert. I had trouble, like, you know,

439
00:22:44,480 --> 00:22:45,880
Speaker 1: she's like an elected official.

440
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Speaker 6: I know they've all got funny names.

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Speaker 1: Yesler Lumer, Yeah, I got it.

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00:22:52,280 --> 00:22:56,200
Speaker 2: But Laura Lumer is the most mask off racist of

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Speaker 2: them all.

444
00:22:57,560 --> 00:22:57,960
Speaker 1: Yeah.

445
00:22:58,040 --> 00:22:59,879
Speaker 6: They all seem like they're the villain in the Apple

446
00:23:00,160 --> 00:23:00,720
Speaker 6: playing gang.

447
00:23:01,200 --> 00:23:03,680
Speaker 1: True. Oh yeah, I could definitely see that. Oh man,

448
00:23:03,720 --> 00:23:06,040
Speaker 1: don't go against that. I mean yeah. So she's been

449
00:23:06,080 --> 00:23:09,359
Speaker 1: around Trump a lot that apparently Trump has tried to

450
00:23:09,440 --> 00:23:12,600
Speaker 1: hire her in the past. All the campaign officials are like,

451
00:23:12,960 --> 00:23:16,480
Speaker 1: absolutely fucking no way you can have this person near

452
00:23:16,520 --> 00:23:19,399
Speaker 1: the campaign. It's gonna it's gonna be all bad news.

453
00:23:19,960 --> 00:23:21,960
Speaker 1: But apparently he's getting his way because like, no, I

454
00:23:21,960 --> 00:23:24,040
Speaker 1: want her as much as part of my crew, even

455
00:23:24,040 --> 00:23:25,600
Speaker 1: though she has like no, I guess as they say,

456
00:23:25,640 --> 00:23:29,000
Speaker 1: there's no official, unofficial role. She's just a travel person,

457
00:23:29,080 --> 00:23:32,760
Speaker 1: like someone who travels with the president. That's kind of

458
00:23:32,760 --> 00:23:37,159
Speaker 1: her position. But recently she's been making things very very

459
00:23:37,240 --> 00:23:39,920
Speaker 1: hot because she's because she's so visible with Trump. A

460
00:23:40,000 --> 00:23:41,760
Speaker 1: lot of people are like, yo, what the fuck is

461
00:23:41,800 --> 00:23:45,080
Speaker 1: what kind of like wild ass shit is she tweeting? Like,

462
00:23:45,119 --> 00:23:47,480
Speaker 1: for example, she was talking about how like if Kamala

463
00:23:47,480 --> 00:23:50,760
Speaker 1: Harris is voted into the White House, the White House

464
00:23:50,800 --> 00:23:54,679
Speaker 1: will smell like curry and everyone's like Jesus fucking, which

465
00:23:54,760 --> 00:23:54,960
Speaker 1: is a.

466
00:23:54,920 --> 00:23:57,600
Speaker 2: Good thing, by the way, and but that that's not

467
00:23:57,720 --> 00:24:02,359
Speaker 2: She also goes further and uh says horrible things.

468
00:24:02,600 --> 00:24:04,960
Speaker 1: Oh yeah, yeah, yeah, I mean she has all kinds

469
00:24:05,000 --> 00:24:06,920
Speaker 1: of fuck that. So when she said that, like, it's

470
00:24:06,960 --> 00:24:10,119
Speaker 1: interesting to see how certain Republicans came out and they're like, ah,

471
00:24:10,119 --> 00:24:13,600
Speaker 1: come on, Laura Lumer, you can't do that, like Marjorie Taylor.

472
00:24:13,680 --> 00:24:15,520
Speaker 2: Now they're gonna know we're racist.

473
00:24:16,080 --> 00:24:18,520
Speaker 1: Yeah, And I was like, Marjorie Taylor Green needs to

474
00:24:18,600 --> 00:24:20,399
Speaker 1: fall all the way back because you dabble in this

475
00:24:20,440 --> 00:24:23,720
Speaker 1: shit too. You're just mad that Laura Lumer is now

476
00:24:23,760 --> 00:24:26,199
Speaker 1: the person who's truly sitting at the right hand of

477
00:24:26,240 --> 00:24:28,240
Speaker 1: the Maga throne at the moment, or at least visibly

478
00:24:28,280 --> 00:24:32,080
Speaker 1: it seems that way, and has Trump's ear. But yeah,

479
00:24:32,240 --> 00:24:34,879
Speaker 1: it's just been a whole bunch of denials of like,

480
00:24:34,920 --> 00:24:37,440
Speaker 1: we don't know her, she's bad, she needs to get away,

481
00:24:37,480 --> 00:24:40,280
Speaker 1: and then her clapping back at people like Marjorie Taylor

482
00:24:40,320 --> 00:24:43,159
Speaker 1: Green being like you're like, you cheated on your husband.

483
00:24:43,240 --> 00:24:45,200
Speaker 1: I think she called her a hooker or something. She's

484
00:24:45,600 --> 00:24:48,480
Speaker 1: told UH was questioning Lindsey Graham's sexuality. I think she

485
00:24:48,480 --> 00:24:51,000
Speaker 1: called him closeted gay or something. It was all just

486
00:24:51,720 --> 00:24:55,359
Speaker 1: a whole moment of chaos. They like. Journalists asked the

487
00:24:55,400 --> 00:24:57,879
Speaker 1: Trump camp like, Yo, what's your take on her beefing

488
00:24:57,880 --> 00:24:59,840
Speaker 1: with people who are like allies of yours like Marjorie

489
00:25:00,000 --> 00:25:02,080
Speaker 1: the Green and Lindsey Graham. And they're like, right, we're

490
00:25:02,119 --> 00:25:04,959
Speaker 1: gonna we don't We're staying out of it. And it's like, oh,

491
00:25:05,040 --> 00:25:07,679
Speaker 1: I wonder if Trump. Oh that sounds like something like

492
00:25:07,680 --> 00:25:08,600
Speaker 1: don't weigh in on that.

493
00:25:10,680 --> 00:25:13,720
Speaker 2: You know what happens for you. Yeah, I just like

494
00:25:13,760 --> 00:25:17,320
Speaker 2: people are speculating, like my little Nanopolis was like I

495
00:25:17,359 --> 00:25:20,520
Speaker 2: heard she said that, or that Trump said it was

496
00:25:20,520 --> 00:25:24,520
Speaker 2: the best blowjob you ever had, Like it overestimates how

497
00:25:24,560 --> 00:25:28,399
Speaker 2: difficult this man is to manipulate, Like all it takes

498
00:25:28,440 --> 00:25:31,760
Speaker 2: his flattery, like just someone who is willing to stand

499
00:25:31,800 --> 00:25:35,399
Speaker 2: around him and tell him that what he's saying is

500
00:25:36,000 --> 00:25:38,720
Speaker 2: smart and right and like tell him what he wants

501
00:25:38,760 --> 00:25:39,040
Speaker 2: to hear.

502
00:25:39,240 --> 00:25:42,040
Speaker 1: Yeah, if you're good at pretending someone just said some

503
00:25:42,160 --> 00:25:46,200
Speaker 1: mind blowing ship, you could ascend the MAGA movement pretty good. Like, Yo,

504
00:25:46,400 --> 00:25:49,120
Speaker 1: what did you just say? Donald? I'm sorry, mister president,

505
00:25:49,400 --> 00:25:52,280
Speaker 1: that was that was so genius. I can't believe you

506
00:25:52,280 --> 00:25:54,000
Speaker 1: were even able to articulate something like that.

507
00:25:54,359 --> 00:25:57,920
Speaker 6: President. Also, they really think that they really think what

508
00:25:58,040 --> 00:26:00,000
Speaker 6: that Trump is like killing it with his thoughts.

509
00:26:00,600 --> 00:26:02,720
Speaker 1: I think some do, and I think other people are

510
00:26:02,760 --> 00:26:05,800
Speaker 1: just purely driven by the grift that you know, they

511
00:26:05,880 --> 00:26:08,000
Speaker 1: just they just adapt to their surroundings and just know

512
00:26:08,040 --> 00:26:08,840
Speaker 1: how to mirror.

513
00:26:09,240 --> 00:26:12,399
Speaker 6: Everyone in politics is driven by the grift. Yeah. It

514
00:26:12,440 --> 00:26:15,800
Speaker 6: is also like people seem like they're opinions or whoever's

515
00:26:15,840 --> 00:26:16,560
Speaker 6: paying them.

516
00:26:16,720 --> 00:26:19,320
Speaker 2: Yeah, I think she's I don't think she is some

517
00:26:19,520 --> 00:26:24,800
Speaker 2: cunning manipulator. By the way. I think that like she's

518
00:26:24,840 --> 00:26:28,320
Speaker 2: been saying she's called herself a white advocate behind the scenes,

519
00:26:29,119 --> 00:26:33,560
Speaker 2: like or she's called herself openly a white advocate, white advocate,

520
00:26:33,920 --> 00:26:35,320
Speaker 2: a white advocate.

521
00:26:34,960 --> 00:26:36,400
Speaker 1: Such a weird way to say.

522
00:26:37,840 --> 00:26:38,280
Speaker 6: Racist.

523
00:26:38,359 --> 00:26:40,880
Speaker 1: Yeah, I advocate for whites.

524
00:26:41,080 --> 00:26:46,040
Speaker 2: Yeah, she's like just a hardcore right wing white supremacist

525
00:26:46,400 --> 00:26:51,320
Speaker 2: and her only focus for the past like number of

526
00:26:51,400 --> 00:26:53,080
Speaker 2: years has been like.

527
00:26:53,040 --> 00:26:53,880
Speaker 3: Did you read that there?

528
00:26:54,119 --> 00:26:57,040
Speaker 2: I was trying to find this profile, Molly, maybe as

529
00:26:57,080 --> 00:27:00,840
Speaker 2: someone who reads magazine profile every once in a while,

530
00:27:00,840 --> 00:27:03,240
Speaker 2: did you read the profile of her? Where she's is

531
00:27:03,359 --> 00:27:05,199
Speaker 2: just it's just like behind the scenes with her, and

532
00:27:05,240 --> 00:27:07,520
Speaker 2: all she's doing is trying to like get a meeting,

533
00:27:07,640 --> 00:27:08,920
Speaker 2: like get on his calendar.

534
00:27:09,160 --> 00:27:11,960
Speaker 6: No, I actually don't read profiles, so I just I

535
00:27:12,080 --> 00:27:12,880
Speaker 6: just write them.

536
00:27:12,720 --> 00:27:15,640
Speaker 2: You just write them, and it shows your profiles are

537
00:27:15,800 --> 00:27:17,800
Speaker 2: way better than everyone else's she's got.

538
00:27:17,880 --> 00:27:20,080
Speaker 6: It's crazy to me too, the like the white the

539
00:27:20,320 --> 00:27:24,919
Speaker 6: vocal white supremacists always look like like they were forgotten

540
00:27:24,960 --> 00:27:25,760
Speaker 6: by God.

541
00:27:26,480 --> 00:27:31,280
Speaker 1: Like first by God. You know.

542
00:27:32,119 --> 00:27:35,680
Speaker 6: It's always like the like you're like, you're you're supposed

543
00:27:35,720 --> 00:27:38,200
Speaker 6: to people are supposed to be like you. You want people

544
00:27:38,240 --> 00:27:41,280
Speaker 6: to look like you and act like you like you seem.

545
00:27:41,280 --> 00:27:43,639
Speaker 1: Hate does something. I just think hate does a number

546
00:27:43,680 --> 00:27:44,840
Speaker 1: on you, you know what I mean?

547
00:27:45,280 --> 00:27:50,560
Speaker 6: Or maybe it's crazy. If I were uh so unbaked,

548
00:27:50,640 --> 00:27:53,280
Speaker 6: I'd be like, maybe white people not the best.

549
00:27:53,960 --> 00:27:57,919
Speaker 2: Yeah, So I think it's just her time has come

550
00:27:58,680 --> 00:28:03,959
Speaker 2: because all the people who surround Trump right now, who

551
00:28:04,080 --> 00:28:06,480
Speaker 2: are whose full time job it is to tell him

552
00:28:06,480 --> 00:28:09,159
Speaker 2: what to do, are telling him to stop doing what

553
00:28:09,320 --> 00:28:14,399
Speaker 2: he's doing, and so he needs to find someone who's

554
00:28:14,440 --> 00:28:18,440
Speaker 2: going to stand beside him and be like, actually, you're

555
00:28:18,520 --> 00:28:19,040
Speaker 2: killing it.

556
00:28:19,200 --> 00:28:22,320
Speaker 6: Oh, let's bring let's bring Steve Bannon back. Yeah, but

557
00:28:22,400 --> 00:28:23,720
Speaker 6: I think the Oven Gang.

558
00:28:23,640 --> 00:28:27,160
Speaker 2: I think Steve Bannon even would be like not quite.

559
00:28:27,320 --> 00:28:28,960
Speaker 6: No, it seems like you have to be a certain

560
00:28:28,960 --> 00:28:31,400
Speaker 6: type of sick event. Yeah, to be you know who,

561
00:28:31,440 --> 00:28:35,240
Speaker 6: You can't ever contradict him and tell him, oh, maybe

562
00:28:35,320 --> 00:28:37,480
Speaker 6: that's not a great idea. It's like you got to.

563
00:28:37,520 --> 00:28:39,000
Speaker 1: Be no Trump.

564
00:28:39,000 --> 00:28:41,200
Speaker 6: Trump likes a yes, a yes man or woman.

565
00:28:41,560 --> 00:28:41,760
Speaker 2: Yeah.

566
00:28:41,840 --> 00:28:44,040
Speaker 1: Yeah. All you have to do is just keep it

567
00:28:44,320 --> 00:28:46,800
Speaker 1: move like you just have to indulge the ideas. The

568
00:28:46,880 --> 00:28:49,520
Speaker 1: second you present an obstacle, that's and he's like, look

569
00:28:49,560 --> 00:28:51,960
Speaker 1: at this fuck. They're saying I shouldn't be saying racism

570
00:28:51,960 --> 00:28:53,840
Speaker 1: out loud. And then if you're like, no, babe, you

571
00:28:53,880 --> 00:28:55,880
Speaker 1: should be saying racism. That's actually how you're going to

572
00:28:55,920 --> 00:28:58,480
Speaker 1: win people, He's like, exactly, that's why I like you,

573
00:28:59,000 --> 00:28:59,920
Speaker 1: Thank you, Lumer.

574
00:29:00,320 --> 00:29:03,560
Speaker 2: It's just whoever lines up with what his instincts are

575
00:29:03,600 --> 00:29:06,120
Speaker 2: telling him to do at that moment. I feel like

576
00:29:06,760 --> 00:29:10,240
Speaker 2: if he gets re elected, the form like the people

577
00:29:10,280 --> 00:29:13,959
Speaker 2: who are going to write the best content about like

578
00:29:14,000 --> 00:29:17,240
Speaker 2: what his next administration is going to be, like, are

579
00:29:17,680 --> 00:29:21,240
Speaker 2: like the experts in Louis the fourteenth, like Royal Court,

580
00:29:21,720 --> 00:29:27,000
Speaker 2: you know, like he's straight like experts in Royal Court

581
00:29:27,200 --> 00:29:31,880
Speaker 2: intrigue because that just feels like what we already have going.

582
00:29:32,080 --> 00:29:35,680
Speaker 1: Yeah, she's yeah, like like you said her her nine

583
00:29:35,720 --> 00:29:38,360
Speaker 1: to eleven truth or shit? She said, she said kamla

584
00:29:38,520 --> 00:29:41,000
Speaker 1: like she this is a quote Kwamlett Commain is a

585
00:29:41,080 --> 00:29:44,920
Speaker 1: quote drug using prostitute and also said quote, I'm willing

586
00:29:44,920 --> 00:29:47,160
Speaker 1: to bet she's had so many abortions that she damaged

587
00:29:47,200 --> 00:29:49,760
Speaker 1: her uterus in terms of an explanation why she doesn't

588
00:29:49,760 --> 00:29:53,800
Speaker 1: have biological children, So that's where she's at. And again

589
00:29:54,080 --> 00:29:56,840
Speaker 1: the quote about this what the White House smelling like?

590
00:29:56,920 --> 00:30:01,400
Speaker 1: Curry this racist bullshit? So jd Vance right, his wife,

591
00:30:01,520 --> 00:30:05,479
Speaker 1: Usha is also Indian American. He was pressed about this

592
00:30:05,600 --> 00:30:09,320
Speaker 1: recently on Sunday, like, hey, you know, like your fucking

593
00:30:09,400 --> 00:30:12,840
Speaker 1: boss is like best friend, you know, travel partner, saying

594
00:30:12,880 --> 00:30:16,240
Speaker 1: some pretty flagrant shit. Any comment about this, and here

595
00:30:16,480 --> 00:30:21,240
Speaker 1: jd Vance like, as usual, like clockwork absolutely fails, that

596
00:30:21,800 --> 00:30:24,400
Speaker 1: fails the moment to be able to maybe defend I

597
00:30:24,400 --> 00:30:27,920
Speaker 1: don't know his wife's dignity, his family's dignity, just not

598
00:30:28,120 --> 00:30:31,440
Speaker 1: completely you know, cape for racist comments. But here he

599
00:30:31,520 --> 00:30:34,800
Speaker 1: is being pressed about that specific tweet that Laura Lumer sent.

600
00:30:35,600 --> 00:30:39,280
Speaker 7: She recently said that Kamala Harris, whose mother was Indian,

601
00:30:39,880 --> 00:30:43,440
Speaker 7: if she wins in November, quote, the White House will

602
00:30:43,560 --> 00:30:48,600
Speaker 7: smell like Curry. Senator, you are married to an Indian

603
00:30:48,760 --> 00:30:52,440
Speaker 7: American woman. What was your reaction to hearing those comments?

604
00:30:52,440 --> 00:30:53,040
Speaker 2: Specifically?

605
00:30:53,640 --> 00:30:57,560
Speaker 1: She's just that setup makes me so nervous because I'm like,

606
00:30:57,720 --> 00:30:59,720
Speaker 1: you know, he's not going to fucking nail this right

607
00:30:59,760 --> 00:31:03,760
Speaker 1: now like your own wife, the mother of your children.

608
00:31:04,160 --> 00:31:07,520
Speaker 1: This is someone describing disrespectfully talking about her culture. What

609
00:31:07,640 --> 00:31:09,000
Speaker 1: is your answer to this? JD?

610
00:31:09,080 --> 00:31:13,760
Speaker 5: Take it away, well, Christen, I want to go back

611
00:31:13,760 --> 00:31:15,840
Speaker 5: to what you said about Haitian migrants to begin with,

612
00:31:15,880 --> 00:31:18,600
Speaker 5: because you didn't give me a chance too. We don't

613
00:31:18,640 --> 00:31:21,600
Speaker 5: blame the Haitian migrants for coming to Springfield. We blame

614
00:31:21,720 --> 00:31:26,120
Speaker 5: Kamala Harris for opening the American southern border twenty.

615
00:31:25,800 --> 00:31:27,600
Speaker 1: Thousand people to get tried to get ahead.

616
00:31:27,640 --> 00:31:31,040
Speaker 5: Laura Lumor is not affiliated with the Trump campaign. She

617
00:31:31,160 --> 00:31:33,160
Speaker 5: said something about Curry and the White House that I

618
00:31:33,200 --> 00:31:35,520
Speaker 5: first read about this morning, actually because.

619
00:31:35,320 --> 00:31:37,120
Speaker 1: I knew that you would ask me about it.

620
00:31:37,400 --> 00:31:40,240
Speaker 5: Look, Kristen, I make a mean chicken curry. I don't

621
00:31:40,240 --> 00:31:43,840
Speaker 5: think they're consulting for anybody to talk about their dietary

622
00:31:43,920 --> 00:31:44,680
Speaker 5: preferences or what.

623
00:31:44,640 --> 00:31:45,880
Speaker 1: They want to do in the White House.

624
00:31:46,120 --> 00:31:48,360
Speaker 5: I think what Laura said about Kamala Harris is not

625
00:31:48,400 --> 00:31:50,760
Speaker 5: what we should be focused on. We should be focused

626
00:31:50,760 --> 00:31:52,200
Speaker 5: on the policy and.

627
00:31:52,240 --> 00:31:53,320
Speaker 1: On the issues.

628
00:31:53,640 --> 00:31:55,600
Speaker 5: And look, so, yeah, do I agree with what Laura

629
00:31:55,680 --> 00:31:57,320
Speaker 5: Lumer said about Kamala Harris?

630
00:31:57,600 --> 00:31:57,680
Speaker 4: No?

631
00:31:57,800 --> 00:31:58,280
Speaker 1: I don't.

632
00:31:58,560 --> 00:31:59,600
Speaker 6: I also don't.

633
00:31:59,400 --> 00:32:01,760
Speaker 5: Think that this is actually an issue of national import.

634
00:32:02,120 --> 00:32:03,600
Speaker 1: Is Lord Luma running for president?

635
00:32:03,800 --> 00:32:06,960
Speaker 5: No, Kamala Harris is running for president. And whether you're

636
00:32:07,000 --> 00:32:10,120
Speaker 5: eating curry at your chicken at your dinner table or

637
00:32:10,160 --> 00:32:14,160
Speaker 5: fried chicken? Wait, what things have gotten more expensive? Things

638
00:32:14,160 --> 00:32:16,640
Speaker 5: to her policies. Let's talk about this person.

639
00:32:17,200 --> 00:32:20,440
Speaker 1: Said, chick, get the funk out of here.

640
00:32:20,800 --> 00:32:26,440
Speaker 6: JD what crow every time he yo, every time he

641
00:32:26,480 --> 00:32:29,040
Speaker 6: talks to hear the Benny Hill music in the background,

642
00:32:29,080 --> 00:32:34,520
Speaker 6: It's just like, yeah, right, he cannot he cannot nail it?

643
00:32:36,120 --> 00:32:36,480
Speaker 2: Was that?

644
00:32:37,080 --> 00:32:37,320
Speaker 1: Is that?

645
00:32:37,400 --> 00:32:38,120
Speaker 3: What is that?

646
00:32:38,160 --> 00:32:39,520
Speaker 2: What he was trying to say?

647
00:32:39,560 --> 00:32:41,920
Speaker 6: There like being double racist.

648
00:32:41,960 --> 00:32:44,720
Speaker 2: Ye yeah, just doubling tripling down on the race or

649
00:32:44,720 --> 00:32:46,400
Speaker 2: fried chicken suck?

650
00:32:46,680 --> 00:32:47,120
Speaker 3: Get it?

651
00:32:47,760 --> 00:32:48,960
Speaker 2: What's up racist?

652
00:32:50,600 --> 00:32:52,040
Speaker 1: We don't curry, We don't.

653
00:32:51,920 --> 00:32:56,160
Speaker 6: Have racist opinions about food. Oh wait, no, we have

654
00:32:56,800 --> 00:32:57,800
Speaker 6: doubled down.

655
00:32:58,200 --> 00:33:01,880
Speaker 2: Double down racism. Yeah, you have to double down racism.

656
00:33:02,400 --> 00:33:03,320
Speaker 2: New at KFC.

657
00:33:04,240 --> 00:33:07,640
Speaker 1: What's that marriage? Like, I'm still wondering what is happening?

658
00:33:07,920 --> 00:33:10,680
Speaker 1: What's over under on Usha Vance filing for divorce.

659
00:33:11,320 --> 00:33:13,120
Speaker 6: I think she you know, look a lot of people

660
00:33:13,160 --> 00:33:15,280
Speaker 6: have said this, but I think she might be exactly

661
00:33:15,320 --> 00:33:19,120
Speaker 6: where she wants to be. You know, sure women can

662
00:33:19,160 --> 00:33:22,520
Speaker 6: be evil too, guys. Women can be evil and racist

663
00:33:22,600 --> 00:33:23,400
Speaker 6: and self hating.

664
00:33:24,000 --> 00:33:26,360
Speaker 1: No, no, absolutely. I'm just thinking because like it's funny

665
00:33:26,400 --> 00:33:29,040
Speaker 1: because when you're like the profiles about their life before

666
00:33:29,200 --> 00:33:32,120
Speaker 1: was sort of like she didn't necessarily wasn't interested in

667
00:33:32,600 --> 00:33:36,320
Speaker 1: dabbling in in national politics because of the scrutiny, And

668
00:33:36,360 --> 00:33:38,560
Speaker 1: I just feel like at that point, I'm like, because

669
00:33:38,560 --> 00:33:40,960
Speaker 1: I can empathize with someone who's you know, just in

670
00:33:41,040 --> 00:33:43,120
Speaker 1: terms of being like, Okay, this person's into politics, like

671
00:33:43,360 --> 00:33:45,360
Speaker 1: please don't like make me get out there and have

672
00:33:45,400 --> 00:33:47,680
Speaker 1: to like glad hand with people. And now you do.

673
00:33:48,040 --> 00:33:51,000
Speaker 1: I'm just wondering what that's like. Because also he's also

674
00:33:51,160 --> 00:33:53,280
Speaker 1: just think we've seen in the as other clips too,

675
00:33:53,600 --> 00:33:55,680
Speaker 1: the second he has to answer for something he wants

676
00:33:55,680 --> 00:33:57,640
Speaker 1: to do, he just like wiggles out of it, like

677
00:33:57,680 --> 00:33:59,120
Speaker 1: a fucking bratty.

678
00:33:58,840 --> 00:34:03,800
Speaker 2: Kid always coming to us from China, Like why is

679
00:34:03,840 --> 00:34:06,960
Speaker 2: he always on the longest tape delay? Like every time

680
00:34:07,000 --> 00:34:10,000
Speaker 2: he's asked a question, there is five seconds of dead air,

681
00:34:10,280 --> 00:34:12,200
Speaker 2: Like is that just it's.

682
00:34:12,040 --> 00:34:15,680
Speaker 6: Just a little yeah, the little gears in his brain

683
00:34:15,760 --> 00:34:16,360
Speaker 6: are turning.

684
00:34:16,920 --> 00:34:19,359
Speaker 1: Well, sometimes you can hear his like ear piece, like

685
00:34:19,400 --> 00:34:22,200
Speaker 1: you can actually hear what that delay is like. But

686
00:34:22,239 --> 00:34:25,000
Speaker 1: there are other times too, like he weaponizes a fake

687
00:34:25,080 --> 00:34:28,000
Speaker 1: delay to just avoid answering her question, or like something's

688
00:34:28,000 --> 00:34:28,359
Speaker 1: going on.

689
00:34:28,640 --> 00:34:30,560
Speaker 6: I don't know what's going on about the eyeliner.

690
00:34:31,640 --> 00:34:34,000
Speaker 2: I don't think it's eyeliner. I think he has gorgeous eyelashes.

691
00:34:34,440 --> 00:34:37,160
Speaker 2: We just have to come downashes, you know what I mean.

692
00:34:37,880 --> 00:34:41,960
Speaker 2: Also his other his other way of wiggling out as always.

693
00:34:42,000 --> 00:34:44,480
Speaker 2: I just read about that like right before I came

694
00:34:44,520 --> 00:34:45,480
Speaker 2: on here, so like.

695
00:34:45,560 --> 00:34:47,880
Speaker 6: Yeah, yeah, I'm not up on things because I'm a

696
00:34:47,880 --> 00:34:50,080
Speaker 6: busy boy and I don't read. No, I don't read

697
00:34:50,120 --> 00:34:51,080
Speaker 6: the damn newspaper.

698
00:34:53,040 --> 00:34:55,000
Speaker 1: Yeah, she's in the hollow.

699
00:34:55,960 --> 00:34:58,799
Speaker 6: We didn't have no.

700
00:34:57,760 --> 00:35:03,320
Speaker 1: But he would be like in the hollows. But yeah,

701
00:35:03,480 --> 00:35:05,440
Speaker 1: that is a good point. I just read it, and

702
00:35:05,520 --> 00:35:07,360
Speaker 1: I don't know, even if you said out loud of

703
00:35:07,440 --> 00:35:10,080
Speaker 1: me that sentence. I need more time to process if

704
00:35:10,120 --> 00:35:12,000
Speaker 1: it's bad, so I can't really give you an answer.

705
00:35:12,000 --> 00:35:13,919
Speaker 1: I don't know on its face that that is bad,

706
00:35:13,960 --> 00:35:16,400
Speaker 1: because hey, I make a mean chicken curry.

707
00:35:16,680 --> 00:35:18,800
Speaker 6: You know he should have stopped after I make a

708
00:35:18,880 --> 00:35:21,640
Speaker 6: mean chicken curry. I think he's I think that's his

709
00:35:21,719 --> 00:35:24,000
Speaker 6: big problem is he doesn't know when to stop, so

710
00:35:24,040 --> 00:35:27,719
Speaker 6: he keeps talking and then he always little soups on

711
00:35:27,840 --> 00:35:29,640
Speaker 6: of extra racism at the end.

712
00:35:29,800 --> 00:35:31,800
Speaker 1: Yeah, right, little sprinkle as a topper.

713
00:35:32,200 --> 00:35:37,239
Speaker 2: He he is also historically like all pulling everything. Anytime

714
00:35:37,320 --> 00:35:40,920
Speaker 2: someone is asked what they think of him, they like,

715
00:35:40,960 --> 00:35:44,400
Speaker 2: there's a new category in the polling, like next to favorable.

716
00:35:44,520 --> 00:35:47,239
Speaker 2: Unfavorable is just like spits on the ground where they're

717
00:35:47,280 --> 00:35:51,680
Speaker 2: standing like that, and that seems to be the largest contingent.

718
00:35:51,920 --> 00:35:55,839
Speaker 2: Like people hate him so much, it's kind of wild, Like.

719
00:35:55,760 --> 00:35:57,080
Speaker 1: I just it on the ground.

720
00:35:57,080 --> 00:36:01,480
Speaker 2: Don't like him either, But like he is so hated,

721
00:36:01,600 --> 00:36:03,160
Speaker 2: like at a historic level.

722
00:36:03,520 --> 00:36:06,560
Speaker 6: Do you think he's helping Trump by being so much

723
00:36:06,600 --> 00:36:09,120
Speaker 6: worse at doing the thing Trump does than Trump.

724
00:36:09,400 --> 00:36:11,759
Speaker 1: It's not like it's not even like like comparable, like

725
00:36:11,760 --> 00:36:13,759
Speaker 1: where he shifts the Overton window where it's like, well,

726
00:36:13,760 --> 00:36:15,640
Speaker 1: at least he's not as bad as what jd Vance

727
00:36:15,719 --> 00:36:19,240
Speaker 1: is saying. It's like he's just like overall, you can't

728
00:36:19,239 --> 00:36:22,839
Speaker 1: believe he comes off so insincere. He's like, has no

729
00:36:22,920 --> 00:36:25,240
Speaker 1: sense of humor, he doesn't know how to interact normally.

730
00:36:25,280 --> 00:36:26,520
Speaker 1: That you're just like, dude, this looks like one of

731
00:36:26,560 --> 00:36:28,719
Speaker 1: those dudes I just don't fucking trust or want to

732
00:36:28,760 --> 00:36:32,360
Speaker 1: be around. So I don't know if it helps. But again,

733
00:36:32,400 --> 00:36:34,600
Speaker 1: because it's not obviously the play there was to try

734
00:36:34,600 --> 00:36:38,120
Speaker 1: and bring like Silicon Valley more in alignment with the

735
00:36:38,160 --> 00:36:40,640
Speaker 1: GOP by bringing him in. But yeah, I don't know.

736
00:36:40,640 --> 00:36:43,080
Speaker 1: I don't know how any of this is actually panning

737
00:36:43,080 --> 00:36:43,719
Speaker 1: out at this point.

738
00:36:44,200 --> 00:36:45,200
Speaker 2: Yeah.

739
00:36:45,200 --> 00:36:48,080
Speaker 6: I did do a Hillbillyology costume for Halloween a few

740
00:36:48,120 --> 00:36:49,359
Speaker 6: years ago when the movie came out.

741
00:36:49,960 --> 00:36:50,520
Speaker 1: How was it?

742
00:36:50,560 --> 00:36:51,640
Speaker 2: What did you would you go with?

743
00:36:52,040 --> 00:36:54,080
Speaker 6: I didn't see the movie. I just ad dressed his

744
00:36:54,160 --> 00:36:56,440
Speaker 6: Amy Adams and some overalls.

745
00:36:56,719 --> 00:36:59,040
Speaker 1: Nice, You're like, all right, yeah, I'm having that.

746
00:36:59,120 --> 00:37:01,240
Speaker 6: I was like, yeah, I could do that. My friend

747
00:37:01,800 --> 00:37:04,520
Speaker 6: Justine was Glenn close as mama.

748
00:37:04,840 --> 00:37:08,520
Speaker 2: Oh my god, I'm just now realizing how bad the

749
00:37:08,600 --> 00:37:14,200
Speaker 2: fucking couch costumes are going to be this year. No, yeah,

750
00:37:14,600 --> 00:37:19,680
Speaker 2: just like glove to couch cushions, that's all you sage.

751
00:37:20,239 --> 00:37:22,160
Speaker 1: Yeah, yeah, yeah, I.

752
00:37:22,080 --> 00:37:23,640
Speaker 2: Don't know, do what you need to do.

753
00:37:23,719 --> 00:37:27,280
Speaker 1: I guess I'm like, I'm like feverishly like now panning

754
00:37:27,320 --> 00:37:28,720
Speaker 1: my costume.

755
00:37:28,719 --> 00:37:32,520
Speaker 6: I like, just pans to a couch costume.

756
00:37:32,560 --> 00:37:34,960
Speaker 1: He's been working one of those. I don't know, dude,

757
00:37:35,000 --> 00:37:38,319
Speaker 1: some fucking guy is like making this for me. I

758
00:37:38,320 --> 00:37:39,759
Speaker 1: don't know. It's like, I don't even like it.

759
00:37:40,520 --> 00:37:45,280
Speaker 2: Why are nailing rivet? Don't worry about it?

760
00:37:45,400 --> 00:37:46,680
Speaker 3: To fold out?

761
00:37:47,320 --> 00:37:50,080
Speaker 2: All right, Eric Adams, we just wanted to check in

762
00:37:50,160 --> 00:37:54,799
Speaker 2: with him, he tweeted earlier today, one of our officers

763
00:37:54,840 --> 00:37:57,719
Speaker 2: was shot while protecting our subway system. I'm relieved to

764
00:37:57,800 --> 00:38:00,680
Speaker 2: report he is in good condition. Now we have arrested

765
00:38:00,680 --> 00:38:03,400
Speaker 2: the suspect who put so many lives in danger. I

766
00:38:03,440 --> 00:38:07,120
Speaker 2: cannot thank these officers enough for their bravery. The New

767
00:38:07,160 --> 00:38:11,719
Speaker 2: York Daily News also had the story NYPD officer, three

768
00:38:11,800 --> 00:38:15,360
Speaker 2: others shot during showdown with armed fair beater at Brooklyn

769
00:38:15,440 --> 00:38:18,680
Speaker 2: L subway station and then just moving a little bit

770
00:38:18,760 --> 00:38:23,359
Speaker 2: further down. So that was nineteen hours ago. Ten hours ago,

771
00:38:23,440 --> 00:38:28,080
Speaker 2: ABC reported NYPD says officer shot in friendly fire as

772
00:38:28,120 --> 00:38:31,759
Speaker 2: police saw do fair evader, someone who's trying to get

773
00:38:31,760 --> 00:38:35,400
Speaker 2: a free subway ride, and they just opened fire on

774
00:38:35,880 --> 00:38:39,080
Speaker 2: a group of people on a subway platform and many

775
00:38:39,120 --> 00:38:39,800
Speaker 2: were struck.

776
00:38:40,360 --> 00:38:43,800
Speaker 1: Yeah, man had his head fucking grazed by a bullet,

777
00:38:44,120 --> 00:38:46,680
Speaker 1: and another woman got shot in the leg. Then a

778
00:38:46,760 --> 00:38:49,640
Speaker 1: cop got shot because of all the fucking friendly fire

779
00:38:50,160 --> 00:38:52,799
Speaker 1: or just the amount of bullets that were flying, and

780
00:38:52,840 --> 00:38:54,520
Speaker 1: then the suspect was shot in the stomach a bunch

781
00:38:54,520 --> 00:38:57,319
Speaker 1: of times. And apparently everyone is meant to recover. But

782
00:38:57,719 --> 00:38:59,920
Speaker 1: all that for what a two dollars ninety cent FA.

783
00:39:00,600 --> 00:39:03,560
Speaker 2: Yeah, that's right. The officer in question was shot by

784
00:39:03,640 --> 00:39:09,280
Speaker 2: the readers added context, which is yes, the X despite

785
00:39:09,320 --> 00:39:13,879
Speaker 2: itself is like, uh, the officers in question was shot

786
00:39:13,960 --> 00:39:17,279
Speaker 2: by a fellow NYPD officer. NYPD officers also shot to

787
00:39:17,400 --> 00:39:19,800
Speaker 2: bystanders and the fair evasion suspect.

788
00:39:19,440 --> 00:39:20,399
Speaker 1: Yeah, got him, got him.

789
00:39:20,600 --> 00:39:23,359
Speaker 2: Yeah, there's a reason Keystone cops don't have guns, like,

790
00:39:23,760 --> 00:39:25,040
Speaker 2: you know, if they did it.

791
00:39:25,200 --> 00:39:27,839
Speaker 6: They might kill they would kill the little rascals.

792
00:39:28,120 --> 00:39:32,720
Speaker 2: They would be killing so many little rascals all the time. Yeah,

793
00:39:32,719 --> 00:39:34,680
Speaker 2: but yeah, there's a reason they only had little like

794
00:39:35,000 --> 00:39:38,360
Speaker 2: night sticks that they waggled around at people. Because uh,

795
00:39:38,640 --> 00:39:41,279
Speaker 2: that's really what this feels like at this point.

796
00:39:41,360 --> 00:39:44,640
Speaker 1: Yeah. And just this whole fair evasion policy, like what

797
00:39:44,640 --> 00:39:46,360
Speaker 1: what good is it doing? You?

798
00:39:46,440 --> 00:39:49,360
Speaker 2: Like, okay, we have a zero tolerance fair evasion.

799
00:39:49,640 --> 00:39:51,920
Speaker 1: Yeah, that that because first they tried to tase the

800
00:39:51,960 --> 00:39:55,239
Speaker 1: guy and that didn't work, and like the escalation of

801
00:39:55,400 --> 00:39:57,120
Speaker 1: and then he I guess he brandished a knife and

802
00:39:57,120 --> 00:39:59,560
Speaker 1: that's then like, all right, that's it. Everybody's getting hit

803
00:39:59,600 --> 00:40:01,200
Speaker 1: on this platform.

804
00:40:01,239 --> 00:40:03,680
Speaker 2: Sorry, there's nothing we can do. Yeah, we'll have to

805
00:40:03,719 --> 00:40:06,520
Speaker 2: turn this person who's a threat to himself and somebody

806
00:40:06,520 --> 00:40:09,000
Speaker 2: within like seven feet, we have to turn it into

807
00:40:09,040 --> 00:40:12,359
Speaker 2: a live fire situation that is a risk to him

808
00:40:12,400 --> 00:40:16,000
Speaker 2: and everyone else who happens to not be standing behind

809
00:40:16,000 --> 00:40:18,120
Speaker 2: a metal barrier at this point.

810
00:40:18,160 --> 00:40:19,960
Speaker 1: And just a couple of months ago, people were like,

811
00:40:20,040 --> 00:40:21,960
Speaker 1: you know, the conservatives, like we need more, we need

812
00:40:22,000 --> 00:40:24,520
Speaker 1: a national guard on the in like the subway systems

813
00:40:24,600 --> 00:40:27,360
Speaker 1: of New York because it's becoming so dangerous. There's like

814
00:40:27,520 --> 00:40:32,000
Speaker 1: armed people. And then meanwhile, you're this fucking incident is

815
00:40:32,080 --> 00:40:35,360
Speaker 1: really at the hands of the NYPD. But yes, great system,

816
00:40:35,400 --> 00:40:38,920
Speaker 1: but yeah that his whole administration is in absolute just.

817
00:40:38,960 --> 00:40:39,720
Speaker 3: Yeah, it's center.

818
00:40:40,719 --> 00:40:44,680
Speaker 2: It's falling apart around him like a Boeing seven thirty

819
00:40:44,680 --> 00:40:46,960
Speaker 2: seven being flown by wiley coyote.

820
00:40:47,040 --> 00:40:49,400
Speaker 1: Bab oh, whoa babe? Okay, whoa babe?

821
00:40:49,760 --> 00:40:53,520
Speaker 2: Uh? Yeah. The two of his top officials have resigned

822
00:40:53,560 --> 00:40:57,479
Speaker 2: over the weekend. One was expected the uh New York

823
00:40:57,560 --> 00:41:00,920
Speaker 2: Police Chief I think and the or the police commissioner.

824
00:41:01,040 --> 00:41:04,640
Speaker 2: And then the other was his like chief legal advisor,

825
00:41:04,920 --> 00:41:08,400
Speaker 2: who resigned just because she was like I can't with

826
00:41:08,480 --> 00:41:12,000
Speaker 2: this fucking guy type of thing, you know, which is

827
00:41:12,040 --> 00:41:16,280
Speaker 2: always a good sign. So more to come on, Eric Adams,

828
00:41:16,640 --> 00:41:22,319
Speaker 2: who has superpowers? Watch watch this space. Should we take

829
00:41:22,320 --> 00:41:24,560
Speaker 2: another quick break and you come back and talk about

830
00:41:25,440 --> 00:41:28,600
Speaker 2: the only other podcast that we're aware of besides our own?

831
00:41:28,800 --> 00:41:30,319
Speaker 1: Yeah, all right, we're right.

832
00:41:30,239 --> 00:41:41,800
Speaker 3: Back, and we're back.

833
00:41:42,040 --> 00:41:42,720
Speaker 1: We're back.

834
00:41:43,880 --> 00:41:48,360
Speaker 2: And a few weeks ago, the NSSAY officially launched a

835
00:41:48,400 --> 00:41:52,279
Speaker 2: podcast called and This is Cute? Okay, it's cute. I'm

836
00:41:52,360 --> 00:41:53,759
Speaker 2: just letting you know ahead of time, So if you

837
00:41:53,800 --> 00:41:58,040
Speaker 2: feel weird or like a creepy like chill come over you,

838
00:41:58,040 --> 00:42:01,479
Speaker 2: you shouldn't because it's just cute. The podcast is called

839
00:42:01,560 --> 00:42:05,719
Speaker 2: No Such Podcast, which is a cheeky reference to the

840
00:42:05,760 --> 00:42:09,200
Speaker 2: fact that the NSA went under the name No Such

841
00:42:09,400 --> 00:42:15,400
Speaker 2: Agency back when it was classified, because it worked better

842
00:42:15,719 --> 00:42:18,759
Speaker 2: when nobody knows it exists. And that's how you know

843
00:42:18,840 --> 00:42:23,919
Speaker 2: what they're doing is good. Uh, And they've so they've

844
00:42:23,960 --> 00:42:29,600
Speaker 2: gone from hiding their existence to producing content for people

845
00:42:29,600 --> 00:42:32,520
Speaker 2: to listen to while they're doing the dishes and being

846
00:42:33,360 --> 00:42:36,840
Speaker 2: like kind of spicy and self referential about it.

847
00:42:37,239 --> 00:42:40,719
Speaker 1: Mmmmm, I love that. I love it. And what's what's

848
00:42:40,760 --> 00:42:43,839
Speaker 1: the podcast about? Just like the hottest trends in mass surveillance?

849
00:42:44,080 --> 00:42:50,520
Speaker 2: Yeah, basically, Miles. It sounds like a very compelling listen.

850
00:42:50,880 --> 00:42:53,000
Speaker 2: First of all, they did an internal talent search for

851
00:42:53,040 --> 00:42:57,640
Speaker 2: employees with broadcasting skills, which I'm pretty sure meant that

852
00:42:57,680 --> 00:43:00,400
Speaker 2: they just eavedropped on all their employees and like picked

853
00:43:00,400 --> 00:43:03,200
Speaker 2: the ones who were the most entertaining.

854
00:43:05,440 --> 00:43:08,400
Speaker 6: Watching you walking you through zooms.

855
00:43:08,600 --> 00:43:10,640
Speaker 1: Yeah, we've seen your twitch streams, man, even though you

856
00:43:10,680 --> 00:43:12,279
Speaker 1: got a mask on we know it's you man, we

857
00:43:12,360 --> 00:43:15,239
Speaker 1: love I think those voices they might work really good

858
00:43:15,239 --> 00:43:16,799
Speaker 1: on our podcast, think about it.

859
00:43:17,520 --> 00:43:20,000
Speaker 2: I just want to read that. In the very first episode,

860
00:43:20,080 --> 00:43:25,760
Speaker 2: guest speaker Natalie Lang, the NSSAYS Director of Operations, speaks

861
00:43:25,840 --> 00:43:29,719
Speaker 2: at length about how the NSSAY limits itself to information

862
00:43:29,840 --> 00:43:34,880
Speaker 2: relevant to national security and similar imperative a quote compliance

863
00:43:34,960 --> 00:43:39,560
Speaker 2: is our number one of focus. She says, it just

864
00:43:40,400 --> 00:43:44,080
Speaker 2: that sounds so much like a corporate communication to employees,

865
00:43:44,400 --> 00:43:46,720
Speaker 2: Like yeah, that's so boring.

866
00:43:47,040 --> 00:43:51,000
Speaker 1: Like speaks at length about how the NSSA limits itself

867
00:43:51,040 --> 00:43:54,120
Speaker 1: to information relevant like we get it, Like do we're

868
00:43:54,160 --> 00:43:57,080
Speaker 1: not like listening to everything, Like we do a really

869
00:43:57,080 --> 00:44:01,960
Speaker 1: good job, like just edging full invintionion of privacy. What

870
00:44:02,000 --> 00:44:02,759
Speaker 1: the fuck is that?

871
00:44:03,640 --> 00:44:05,960
Speaker 2: But to the earlier point about how they probably were

872
00:44:06,000 --> 00:44:09,240
Speaker 2: just listening in on their employees, you have to assume,

873
00:44:09,640 --> 00:44:15,200
Speaker 2: like the NSSAY is out here pitching a podcast trying

874
00:44:15,239 --> 00:44:17,960
Speaker 2: to like brainstorm what the best podcast is. It's purely

875
00:44:18,400 --> 00:44:23,840
Speaker 2: like internal they have to have at one point just

876
00:44:24,200 --> 00:44:28,160
Speaker 2: at least spitball the idea of taking the wildest ship

877
00:44:28,280 --> 00:44:33,319
Speaker 2: they hear in their surveillance and like doing America's funniest, Like.

878
00:44:35,680 --> 00:44:36,280
Speaker 6: That's funny.

879
00:44:41,360 --> 00:44:43,399
Speaker 1: You know he did say that ship about Laura. I'm

880
00:44:43,440 --> 00:44:46,080
Speaker 1: just saying we got the call right here. Yeah.

881
00:44:46,120 --> 00:44:49,319
Speaker 2: So it's basically, uh, they're they're bragging that the show

882
00:44:49,400 --> 00:44:52,839
Speaker 2: will and in addition to uh endlessly talking about how

883
00:44:53,000 --> 00:44:57,680
Speaker 2: in line with compliance they are, the show will allow

884
00:44:57,760 --> 00:45:00,520
Speaker 2: them to show off the work they do, which has

885
00:45:00,600 --> 00:45:04,160
Speaker 2: been obscured by public controversies. I'm not aware of any

886
00:45:04,160 --> 00:45:05,120
Speaker 2: public controversies.

887
00:45:05,160 --> 00:45:10,040
Speaker 1: I don't know what the who's Allie North? Who never

888
00:45:10,080 --> 00:45:11,759
Speaker 1: heard of them? That? Did you have anything to do

889
00:45:11,800 --> 00:45:13,680
Speaker 1: with this agent? And I don't know, I don't know anything.

890
00:45:14,200 --> 00:45:19,160
Speaker 1: This is why that's just such a fucking dystopian vibe

891
00:45:19,200 --> 00:45:21,960
Speaker 1: where it's like it's like the same thing because they're cops,

892
00:45:22,040 --> 00:45:24,520
Speaker 1: you know, they could be like and cops talk about

893
00:45:24,520 --> 00:45:28,080
Speaker 1: how often they resist their urge to fully violate people's

894
00:45:28,160 --> 00:45:30,279
Speaker 1: rights and they really just do it, like, you know,

895
00:45:30,360 --> 00:45:32,919
Speaker 1: only when it's relevant. I don't know how they think

896
00:45:32,960 --> 00:45:35,719
Speaker 1: this is like a fun show or something people want

897
00:45:35,719 --> 00:45:39,279
Speaker 1: to listen to. I guess it's like pr slash.

898
00:45:40,000 --> 00:45:43,280
Speaker 6: Yeah, it's good. Isn't there like a CIA one too?

899
00:45:43,520 --> 00:45:47,760
Speaker 2: Like there is there CIA? And I think also FBI

900
00:45:48,480 --> 00:45:52,680
Speaker 2: and when they're like talking about the process for making

901
00:45:52,880 --> 00:45:57,960
Speaker 2: the show, they like get credit in this article about

902
00:45:58,000 --> 00:46:00,160
Speaker 2: the thing for like doing the like they did to

903
00:46:00,280 --> 00:46:04,719
Speaker 2: endless research. And in addition to including listening to popular

904
00:46:04,800 --> 00:46:09,040
Speaker 2: podcasts and also listening to the CIA and FBI podcasts

905
00:46:09,360 --> 00:46:12,200
Speaker 2: to see what a podcast is like.

906
00:46:12,360 --> 00:46:17,080
Speaker 1: Damn guys, anyway, they're probably listening now.

907
00:46:17,160 --> 00:46:20,040
Speaker 2: But how do you find time to spy on me

908
00:46:20,440 --> 00:46:24,200
Speaker 2: with that level of rigor? I think it's time for

909
00:46:24,239 --> 00:46:27,520
Speaker 2: the NSA to take some credit for things like the

910
00:46:27,520 --> 00:46:32,600
Speaker 2: bin Laden raid, which is the subject. So in addition

911
00:46:32,719 --> 00:46:37,839
Speaker 2: to rehabbing their public image and countering critics, the main

912
00:46:37,880 --> 00:46:42,520
Speaker 2: thing that this seems to be aimed at is helping

913
00:46:42,680 --> 00:46:53,479
Speaker 2: them with recruitment. Yeah, one source Toldcasting, Yes exactly, if.

914
00:46:53,400 --> 00:46:55,759
Speaker 3: We need yeah, we.

915
00:46:59,360 --> 00:47:01,240
Speaker 1: Can do it. Yeah.

916
00:47:01,400 --> 00:47:04,360
Speaker 6: Yeah, that's what this country needs is more podcasters.

917
00:47:04,719 --> 00:47:06,120
Speaker 1: Yo, this is definitely an op.

918
00:47:06,239 --> 00:47:10,160
Speaker 2: Yeah, for every one person there should be a podcast

919
00:47:10,239 --> 00:47:13,440
Speaker 2: made for them. You know, we need. I will not

920
00:47:13,520 --> 00:47:17,280
Speaker 2: rest until there are three hundred and fifty million podcasts.

921
00:47:16,719 --> 00:47:18,440
Speaker 6: In the future. You're just going to get a feed

922
00:47:18,480 --> 00:47:24,360
Speaker 6: with your birth certificate, right you're born, start posting.

923
00:47:25,400 --> 00:47:28,319
Speaker 2: But yeah, one source told wired that the agency is

924
00:47:28,520 --> 00:47:32,080
Speaker 2: quote hoping that by showcasing the work we do here

925
00:47:32,520 --> 00:47:34,680
Speaker 2: and the real people on the show who work here,

926
00:47:35,040 --> 00:47:38,680
Speaker 2: listeners might say, oh, that sounds like a really cool job,

927
00:47:39,080 --> 00:47:41,640
Speaker 2: and that person seems pretty normal, right.

928
00:47:41,719 --> 00:47:46,640
Speaker 1: No fucking way, I love and that that person seems

929
00:47:46,680 --> 00:47:48,120
Speaker 1: pretty normal.

930
00:47:50,920 --> 00:47:55,480
Speaker 2: When you're having to be like, hey, I'm a normal

931
00:47:55,640 --> 00:47:59,360
Speaker 2: person over here. That's like that's what people say to

932
00:47:59,360 --> 00:48:02,600
Speaker 2: get children to come into their van, Like just normal

933
00:48:02,719 --> 00:48:03,279
Speaker 2: guy here.

934
00:48:03,719 --> 00:48:07,080
Speaker 6: Also a little bit what jd Vance feels like. He's like, hey,

935
00:48:07,800 --> 00:48:10,600
Speaker 6: I'm just saying normal things that we all think, and

936
00:48:10,640 --> 00:48:12,880
Speaker 6: then he says a crazy thing no one's ever thought.

937
00:48:12,760 --> 00:48:15,359
Speaker 1: Right right, yeah, right, yeah, I mean I get it. Look,

938
00:48:15,480 --> 00:48:18,560
Speaker 1: they said there they failed to meet their hiring objectives

939
00:48:18,640 --> 00:48:20,680
Speaker 1: due to quote competition with the private side.

940
00:48:20,680 --> 00:48:23,160
Speaker 2: So this is my favorite detail of this whole story. Yeah,

941
00:48:23,320 --> 00:48:30,000
Speaker 2: just the snowed and leaks. Cybersecurity has become massive in

942
00:48:30,080 --> 00:48:34,840
Speaker 2: Silicon Valley because people are afraid of being spied on

943
00:48:34,960 --> 00:48:38,920
Speaker 2: by the NSA, and so people the like private companies

944
00:48:39,000 --> 00:48:44,840
Speaker 2: can sell security back to people, and now the private

945
00:48:44,880 --> 00:48:49,040
Speaker 2: companies are paying way better. You get to like go

946
00:48:49,920 --> 00:48:55,040
Speaker 2: live on some utopian commune where everybody has like shitty

947
00:48:55,239 --> 00:48:59,400
Speaker 2: Google glasses or whatever, and like just get fed sushi

948
00:48:59,480 --> 00:49:01,160
Speaker 2: without like having to stop typing.

949
00:49:01,400 --> 00:49:03,080
Speaker 1: Hell yeah, rather being a bureaucrat.

950
00:49:03,280 --> 00:49:07,120
Speaker 2: Yeah, rather than being a bureaucrat. They just by spying

951
00:49:07,160 --> 00:49:10,040
Speaker 2: on their own people, they created a massive industry of

952
00:49:10,120 --> 00:49:13,040
Speaker 2: people being scared of data security, and that industry just

953
00:49:13,080 --> 00:49:16,360
Speaker 2: like drank up all their talent. Really, you fucking you

954
00:49:16,480 --> 00:49:18,040
Speaker 2: hate to see it, folks.

955
00:49:18,280 --> 00:49:20,480
Speaker 1: Holy sh The fact that they had to stress seemed

956
00:49:20,520 --> 00:49:23,240
Speaker 1: like this and this person seems pretty normal, right.

957
00:49:23,280 --> 00:49:26,400
Speaker 2: And that's like pie in the sky dream version of

958
00:49:26,440 --> 00:49:29,240
Speaker 2: what this may look normal.

959
00:49:29,480 --> 00:49:32,600
Speaker 1: They're not leading with the problematic ship that would get

960
00:49:32,600 --> 00:49:34,200
Speaker 1: people like you know what I mean, Like people want

961
00:49:34,239 --> 00:49:37,200
Speaker 1: to be cops because they feel like they are omnipotent

962
00:49:37,320 --> 00:49:39,560
Speaker 1: and above the law and can do whatever the fuck

963
00:49:39,600 --> 00:49:41,920
Speaker 1: they want to because they are police. If you turn

964
00:49:42,000 --> 00:49:45,120
Speaker 1: it into like, bro, the NSSA, you can fucking spy

965
00:49:45,280 --> 00:49:48,279
Speaker 1: on all your enemies. Man, you can do petty ship

966
00:49:48,400 --> 00:49:50,440
Speaker 1: at the NSSA. Bro, you can bring up their fucking

967
00:49:50,440 --> 00:49:52,400
Speaker 1: you can tap their grandma's phone.

968
00:49:52,120 --> 00:50:03,719
Speaker 6: Tonight, Trump will.

969
00:50:00,080 --> 00:50:02,600
Speaker 1: Yeah, He's like there was this one, this one girl

970
00:50:02,719 --> 00:50:04,680
Speaker 1: from middle school. I wonder what she's up to and

971
00:50:04,680 --> 00:50:08,680
Speaker 1: you're like, dude, what, yeah much he's talking about.

972
00:50:08,520 --> 00:50:11,320
Speaker 2: Aaron Sorkin's gonna make the Trump movie where it's all

973
00:50:11,440 --> 00:50:13,799
Speaker 2: like draws it back to like some girl who broke

974
00:50:13,880 --> 00:50:16,080
Speaker 2: up with him and he's just like doing all of

975
00:50:16,080 --> 00:50:17,399
Speaker 2: this to like impress her.

976
00:50:17,840 --> 00:50:18,120
Speaker 1: Yep.

977
00:50:18,560 --> 00:50:18,880
Speaker 3: Yeah.

978
00:50:19,160 --> 00:50:22,520
Speaker 2: I do feel like if they wanted to accomplish like

979
00:50:22,840 --> 00:50:26,320
Speaker 2: what Top Gun did for the Air Force, they would

980
00:50:26,320 --> 00:50:31,360
Speaker 2: have made a fictional film where people just an NSA

981
00:50:31,480 --> 00:50:35,520
Speaker 2: person like uses the power of spying to be awesome

982
00:50:35,520 --> 00:50:36,400
Speaker 2: in some way.

983
00:50:36,640 --> 00:50:37,920
Speaker 6: Isn't that mission impossible?

984
00:50:38,280 --> 00:50:38,719
Speaker 1: It is?

985
00:50:39,160 --> 00:50:40,359
Speaker 3: Yeah, maybe maybe that.

986
00:50:40,360 --> 00:50:43,239
Speaker 1: You can't get into the impossible Missions Force, you know

987
00:50:43,280 --> 00:50:43,680
Speaker 1: what I mean?

988
00:50:43,800 --> 00:50:45,959
Speaker 6: Yeah, yeah, that's you can get into the NS.

989
00:50:46,640 --> 00:50:50,239
Speaker 1: Yeah that's true. But yeah, I mean, hey, look, we

990
00:50:50,320 --> 00:50:55,279
Speaker 1: all got dreams of illegal illegally obtaining evidence somehow, so

991
00:50:55,400 --> 00:50:56,480
Speaker 1: let's do that all.

992
00:50:56,560 --> 00:50:59,000
Speaker 2: Yeah, Brian, That editor points out they just need to

993
00:50:59,040 --> 00:51:02,480
Speaker 2: remake and of the State, but like, from their perspective,

994
00:51:03,160 --> 00:51:05,920
Speaker 2: will be the bad guy who will speak for the

995
00:51:05,960 --> 00:51:07,040
Speaker 2: shadowy government.

996
00:51:07,600 --> 00:51:09,560
Speaker 1: Yeah exactly exactly.

997
00:51:09,760 --> 00:51:13,240
Speaker 2: They came for the shadowy government, and I said nothing.

998
00:51:13,640 --> 00:51:16,919
Speaker 1: I love being a stormtrooper, guys, and this podcast really

999
00:51:16,920 --> 00:51:18,719
Speaker 1: helped me embrace that it really did.

1000
00:51:18,880 --> 00:51:22,040
Speaker 2: So for a number of years now, I think since

1001
00:51:22,080 --> 00:51:24,839
Speaker 2: the nineties. Yeah, since the nineties, the NSA has been

1002
00:51:24,920 --> 00:51:28,759
Speaker 2: running recruiting programs out of universities across the country with

1003
00:51:28,880 --> 00:51:34,839
Speaker 2: minimal pushback from administrations because they and they get away

1004
00:51:34,840 --> 00:51:37,960
Speaker 2: with it because they just like essentially bribe schools. They

1005
00:51:37,960 --> 00:51:42,640
Speaker 2: have like this NSA's National Centers of Academic Excellence designation

1006
00:51:43,280 --> 00:51:46,319
Speaker 2: that raises the school's profile and gets them funding from

1007
00:51:46,360 --> 00:51:51,399
Speaker 2: the federal government. And so in schools, even though they

1008
00:51:51,440 --> 00:51:56,399
Speaker 2: have like billion dollar endowments, are just they they need

1009
00:51:56,440 --> 00:51:57,359
Speaker 2: that money.

1010
00:51:57,520 --> 00:51:59,759
Speaker 1: Need that bump. You got to get that NSA bump. Man.

1011
00:52:00,160 --> 00:52:02,160
Speaker 2: Once you get a billion dollars, you're not like, I'm

1012
00:52:02,200 --> 00:52:04,640
Speaker 2: good at a billion dollars. You just become that much

1013
00:52:04,719 --> 00:52:06,520
Speaker 2: hungrier for your next billion dollars.

1014
00:52:06,760 --> 00:52:11,640
Speaker 1: As I referenced earlier, Wanda Sykes is an alumna, okay

1015
00:52:11,800 --> 00:52:16,120
Speaker 1: of the NSA. Get her to fucking talk about it,

1016
00:52:16,160 --> 00:52:18,560
Speaker 1: and people are like, on her show, that's also a

1017
00:52:18,640 --> 00:52:21,600
Speaker 1: mass surveillance that ring camera show that she fucking knows

1018
00:52:23,480 --> 00:52:26,319
Speaker 1: it's a very interesting circle that people end up in.

1019
00:52:26,400 --> 00:52:29,520
Speaker 1: But yeah, maybe she can speak to like the perks

1020
00:52:29,520 --> 00:52:32,120
Speaker 1: of working there. Although she says she was like administrative staff.

1021
00:52:32,160 --> 00:52:36,480
Speaker 1: Obviously she wasn't, you know, illegally monitoring people's communications.

1022
00:52:36,840 --> 00:52:40,080
Speaker 2: Shouldn't have to take anybody out. She just had to

1023
00:52:40,800 --> 00:52:44,800
Speaker 2: give somebody who took someone out a positive performance review

1024
00:52:45,080 --> 00:52:45,919
Speaker 2: at the end of the year.

1025
00:52:46,400 --> 00:52:48,040
Speaker 1: Yeah, So I don't know.

1026
00:52:48,160 --> 00:52:51,319
Speaker 2: I really do think that they are going to eventually

1027
00:52:52,080 --> 00:52:54,680
Speaker 2: soft blaunch a show where they get to like use

1028
00:52:54,719 --> 00:52:57,239
Speaker 2: the stuff that they're spying. I mean maybe that I

1029
00:52:57,280 --> 00:52:59,879
Speaker 2: haven't listened to this show. Maybe they are like being

1030
00:53:00,160 --> 00:53:04,760
Speaker 2: and here's the first hand source. Here's a primary source

1031
00:53:04,800 --> 00:53:07,640
Speaker 2: of like beIN lod and sounding like a little bitch

1032
00:53:07,640 --> 00:53:08,240
Speaker 2: on the phone.

1033
00:53:08,640 --> 00:53:11,840
Speaker 1: Right, you really do need shit like that, Like you'd

1034
00:53:11,840 --> 00:53:15,600
Speaker 1: be like listen to Michael Jordan placing bets on basketball

1035
00:53:16,040 --> 00:53:17,480
Speaker 1: Like here it is, you know what I mean, Like

1036
00:53:17,560 --> 00:53:19,919
Speaker 1: just shit, you're like, yo, what do they have?

1037
00:53:20,200 --> 00:53:22,719
Speaker 2: I mean that's what Cops was essentially, was like this

1038
00:53:22,880 --> 00:53:29,400
Speaker 2: horrible like malevolent, malevolent force, malevolent force, uh fucking being,

1039
00:53:29,600 --> 00:53:34,719
Speaker 2: like just showing people doing wacky bloopers around them while

1040
00:53:34,760 --> 00:53:37,720
Speaker 2: they like fucked people up because they were like scared

1041
00:53:37,719 --> 00:53:38,320
Speaker 2: of them.

1042
00:53:38,560 --> 00:53:42,640
Speaker 1: Right, anyway, try reality show podcast. I'm just saying podcast.

1043
00:53:42,360 --> 00:53:44,560
Speaker 6: Guys, I'm going to listen to the podcast now.

1044
00:53:44,560 --> 00:53:47,560
Speaker 2: I got to hear all right, Yeah, damn. We are

1045
00:53:47,719 --> 00:53:52,879
Speaker 2: now officially certified as an NSA podcast and we've got

1046
00:53:53,120 --> 00:53:57,839
Speaker 2: the NSA's National Center of Academic Excellence has given us

1047
00:53:57,960 --> 00:54:03,280
Speaker 2: their official designation. Why I like that. It has nothing

1048
00:54:03,280 --> 00:54:04,839
Speaker 2: to do with the story that we just did. That

1049
00:54:04,960 --> 00:54:08,040
Speaker 2: just made this show sound awesome, But we are now

1050
00:54:09,360 --> 00:54:13,640
Speaker 2: we are now receiving many questions. Yeah are you asking questions?

1051
00:54:13,719 --> 00:54:16,439
Speaker 2: And all the questions came out making this show look

1052
00:54:16,520 --> 00:54:17,759
Speaker 2: sick as hell, and.

1053
00:54:17,719 --> 00:54:20,480
Speaker 1: I think leftists started ruining this country. I don't know

1054
00:54:20,480 --> 00:54:22,799
Speaker 1: about you, guys, but that's just where That's just where

1055
00:54:22,840 --> 00:54:23,960
Speaker 1: my head's at recently.

1056
00:54:24,239 --> 00:54:27,560
Speaker 2: Yeah, I think I think you're dead on Miles.

1057
00:54:27,880 --> 00:54:30,920
Speaker 1: Thank you so much, colonel, I mean, Jack, oh, Brien.

1058
00:54:35,600 --> 00:54:39,000
Speaker 2: Molly Lambert, what a pleasure having you. Where can people

1059
00:54:39,160 --> 00:54:41,480
Speaker 2: find you? Follow you all that kind of stuff.

1060
00:54:41,640 --> 00:54:45,719
Speaker 6: You can find me at Mollie Underscore Lambert on Instagram

1061
00:54:46,000 --> 00:54:51,319
Speaker 6: and uh yeah, check out Heidi World very soon, very

1062
00:54:51,320 --> 00:54:53,759
Speaker 6: soon next year. But soon there will be a new

1063
00:54:53,760 --> 00:54:56,800
Speaker 6: podcast for me called Jenna World about Jenna Jamison and

1064
00:54:56,920 --> 00:54:59,840
Speaker 6: the history of the porn industry and the San Fernando

1065
00:55:00,640 --> 00:55:03,600
Speaker 6: he keep an eye out for that. Yeah, and of

1066
00:55:03,600 --> 00:55:06,799
Speaker 6: course you can hear me every week on the NSA podcast.

1067
00:55:06,480 --> 00:55:15,640
Speaker 1: Obviously and using my real name, which is Heninger, he Kissinger.

1068
00:55:15,760 --> 00:55:18,239
Speaker 2: I feel like it wouldn't be surprising to find out,

1069
00:55:18,280 --> 00:55:21,520
Speaker 2: like Henry Kissinger does great like voice work. He's just

1070
00:55:21,560 --> 00:55:22,600
Speaker 2: like that kind of evil.

1071
00:55:23,000 --> 00:55:25,240
Speaker 6: He's just been doing a character this whole time.

1072
00:55:25,480 --> 00:55:28,800
Speaker 2: Oh yeah, Henry is just one of his characters. Molly,

1073
00:55:28,960 --> 00:55:30,680
Speaker 2: is there work a media you've been enjoying?

1074
00:55:31,239 --> 00:55:34,520
Speaker 6: Yeah? Absolutely, I've been watching The Secret Lives of Mormon

1075
00:55:34,560 --> 00:55:40,000
Speaker 6: Wives on huluh and uh, you guys kind of get

1076
00:55:40,040 --> 00:55:43,440
Speaker 6: into it if you know about this about it.

1077
00:55:43,560 --> 00:55:45,520
Speaker 1: I've heard about it. A lot of people are talking

1078
00:55:45,560 --> 00:55:45,840
Speaker 1: about it.

1079
00:55:45,880 --> 00:55:48,520
Speaker 6: I'm like do I yeah, yeah, you got to watch.

1080
00:55:48,680 --> 00:55:51,560
Speaker 6: I thought it was gonna be of Real Housewives of

1081
00:55:51,600 --> 00:55:56,520
Speaker 6: Salt Lake City, but it's like its own different, insane thing.

1082
00:55:58,239 --> 00:56:00,560
Speaker 6: It's about a group of moms, a group of Mormon

1083
00:56:00,600 --> 00:56:04,200
Speaker 6: moms who started a TikTok thing called mom Talk, which

1084
00:56:04,280 --> 00:56:07,840
Speaker 6: was like, even though we're Mormon wives, we can dance,

1085
00:56:08,160 --> 00:56:12,120
Speaker 6: we are allowed to do TikTok dances, all right, twenty

1086
00:56:12,560 --> 00:56:15,879
Speaker 6: four And then they all got into what they call

1087
00:56:16,000 --> 00:56:24,320
Speaker 6: soft swinging, which is where they all consensually tad sexual

1088
00:56:24,640 --> 00:56:28,160
Speaker 6: stuff go on with each other and each other's husbands,

1089
00:56:28,800 --> 00:56:31,840
Speaker 6: but not penetration, which is what makes it soft.

1090
00:56:32,160 --> 00:56:35,040
Speaker 2: Oh soft swing, Yeah, Victoria says.

1091
00:56:34,960 --> 00:56:37,320
Speaker 6: Do they soak? I just learned about soaking.

1092
00:56:38,320 --> 00:56:41,080
Speaker 1: The soaking, right, that's penetration.

1093
00:56:41,640 --> 00:56:43,200
Speaker 6: It doesn't count because you're not you don't move it

1094
00:56:43,200 --> 00:56:45,719
Speaker 6: back and forth, it doesn't count. That's that's what soaking is.

1095
00:56:46,000 --> 00:56:48,120
Speaker 1: Sure what I'm saying.

1096
00:56:47,360 --> 00:56:55,520
Speaker 2: We cover soaking in depth on this, We get it.

1097
00:56:55,719 --> 00:57:00,000
Speaker 2: Floating might hmmm. Floating is similar though, isn't float?

1098
00:57:01,640 --> 00:57:03,879
Speaker 1: So the show is the jumps on the bed.

1099
00:57:04,360 --> 00:57:06,719
Speaker 6: The show's not even about the swinging scandal. It's like

1100
00:57:06,760 --> 00:57:09,680
Speaker 6: the aftermath. It's like following all these.

1101
00:57:09,480 --> 00:57:11,959
Speaker 1: Women, Oh wow, after.

1102
00:57:12,960 --> 00:57:16,000
Speaker 6: The swinging scandal almost destroyed mom talk the one thing

1103
00:57:16,040 --> 00:57:17,120
Speaker 6: that brings them all joy.

1104
00:57:18,520 --> 00:57:21,200
Speaker 1: Yeah, super sialacious though it's worth watching.

1105
00:57:21,400 --> 00:57:23,520
Speaker 6: I mean, I like, I'm interested in it. It's a

1106
00:57:23,520 --> 00:57:28,560
Speaker 6: bit sho weird, extremely weird white women with names you

1107
00:57:28,560 --> 00:57:30,400
Speaker 6: know like Kayleie.

1108
00:57:30,800 --> 00:57:35,280
Speaker 2: Melee Right, Miles, Yes, where can people find you as

1109
00:57:35,320 --> 00:57:37,160
Speaker 2: their workI media you've been enjoying?

1110
00:57:37,760 --> 00:57:37,920
Speaker 4: Uh?

1111
00:57:38,200 --> 00:57:40,680
Speaker 1: Find me on Twitter and Instagram at Miles of gray.

1112
00:57:40,800 --> 00:57:42,880
Speaker 1: Find Jack and I on the basketball podcast Miles and

1113
00:57:42,960 --> 00:57:46,560
Speaker 1: jackop at It. I said bad Boosty mad Boosties. Also

1114
00:57:47,080 --> 00:57:53,400
Speaker 1: four twenty day Fiance with Sophia Alexandra a tweet, I like, no,

1115
00:57:53,440 --> 00:57:56,080
Speaker 1: I'm just gonna keep telling people you gotta check out

1116
00:57:56,200 --> 00:58:00,320
Speaker 1: dream Cleaning Australia. My favorite YouTube channel for this guy

1117
00:58:00,640 --> 00:58:05,280
Speaker 1: is just screaming over his like jetwasher, trying to break

1118
00:58:05,360 --> 00:58:08,880
Speaker 1: up clogs and blockages and all kinds of drains in

1119
00:58:08,920 --> 00:58:11,720
Speaker 1: Western Australia, and I just can't get enough of it.

1120
00:58:11,800 --> 00:58:14,000
Speaker 1: So that's what I'm gonna to drink Cleaning Australia.

1121
00:58:14,320 --> 00:58:18,160
Speaker 2: You can find me on Twitter at Jack Underscore. Obrian,

1122
00:58:18,880 --> 00:58:23,400
Speaker 2: the artist formerly known as Bill at Rour Underscore two

1123
00:58:23,960 --> 00:58:27,440
Speaker 2: retweeted an old BBC article Ticketmaster makes huge step for

1124
00:58:27,520 --> 00:58:31,000
Speaker 2: disabled music fans and wrote, surely a ramp would be

1125
00:58:31,000 --> 00:58:34,800
Speaker 2: better And I thought that was a pretty funny response.

1126
00:58:35,360 --> 00:58:38,680
Speaker 2: You can find us on Twitter at Daily Zeikeeist, where

1127
00:58:38,680 --> 00:58:41,080
Speaker 2: at the Daily Zeitgeist on Instagram. We have a Facebook

1128
00:58:41,120 --> 00:58:43,800
Speaker 2: fanpage and a website Daily zeikeist dot com, where we

1129
00:58:43,840 --> 00:58:47,680
Speaker 2: post our episode and our footnote where we link off

1130
00:58:47,760 --> 00:58:50,040
Speaker 2: the information that we talked about in today's episode, as

1131
00:58:50,040 --> 00:58:54,400
Speaker 2: well as a song that we think you might enjoy. Miles,

1132
00:58:54,480 --> 00:58:56,160
Speaker 2: is there a song that you think people might enjoy?

1133
00:58:56,440 --> 00:59:01,120
Speaker 1: Yeah, it's that I recommended a track of Nick Waterhouses,

1134
00:59:01,160 --> 00:59:03,640
Speaker 1: I think the week before last. He's the guy who

1135
00:59:03,760 --> 00:59:06,760
Speaker 1: like records all analog and like his voice kind of

1136
00:59:06,760 --> 00:59:10,760
Speaker 1: sounds like Eric Burden or Van Morrison. Nick Waterhouse. This

1137
00:59:10,800 --> 00:59:14,000
Speaker 1: track is called Medicine. Again, it's like another sort of

1138
00:59:14,080 --> 00:59:17,080
Speaker 1: retro feeling track, but this is a dude who's younger

1139
00:59:17,160 --> 00:59:19,240
Speaker 1: than me, like most people on Earth at this point,

1140
00:59:20,560 --> 00:59:23,240
Speaker 1: where yeah, it's just a wonderful tune. So ride out

1141
00:59:23,280 --> 00:59:25,919
Speaker 1: the this late summer. We're still in summer, right, Isn't

1142
00:59:25,960 --> 00:59:28,800
Speaker 1: the solstice like in like a few days, it's fall?

1143
00:59:29,680 --> 00:59:31,200
Speaker 1: Is it? Is it technically fall now?

1144
00:59:31,520 --> 00:59:32,120
Speaker 6: In my mind?

1145
00:59:32,400 --> 00:59:34,240
Speaker 1: Oh? Oh yeah no, I mean in la like it's

1146
00:59:34,240 --> 00:59:37,000
Speaker 1: been so overcast and like the weather just shifted like

1147
00:59:37,200 --> 00:59:40,640
Speaker 1: twenty five degrees very quickly, thank you, Victor. On the

1148
00:59:40,680 --> 00:59:42,960
Speaker 1: twenty second, it will officially be fall. So let's take

1149
00:59:43,000 --> 00:59:45,479
Speaker 1: this last little bit of late summer with this track

1150
00:59:45,600 --> 00:59:52,360
Speaker 1: Medicine from Nick Waterhouse. I love Medicine, all right, very good,

1151
00:59:52,400 --> 00:59:57,960
Speaker 1: it'd be great on the NSA podcast. I love I

1152
00:59:56,400 --> 00:59:59,840
Speaker 1: Love Heart Radio for more podcasts from my heart.

1153
01:00:00,040 --> 01:00:02,840
Speaker 2: Do you visit the iHeartRadio app, Apple Podcasts wherever you

1154
01:00:02,840 --> 01:00:03,760
Speaker 2: listen to your favorite shows.

1155
01:00:03,800 --> 01:00:05,480
Speaker 3: That's going to do it for us this morning.

1156
01:00:05,640 --> 01:00:07,720
Speaker 2: We're back this afternoon to tell you what is trending

1157
01:00:07,920 --> 01:00:09,280
Speaker 2: and we'll talk to you all then.

1158
01:00:09,280 --> 01:00:12,680
Speaker 1: Bye bye,