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Speaker 1: My wife has Celiacs and like gluten. They have a

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Speaker 1: gluten free pizza at this Mancos and Manco's place and

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Speaker 1: they don't cut it because they put like one of

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Speaker 1: those plastic pizza wheels like in the box with the

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Speaker 1: gluten free pizza. And part of me is like it

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Speaker 1: is funny that they just don't trust themselves, do not

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Speaker 1: contaminate like the pizza. They're like, right, we bought this vay,

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Speaker 1: Like here's a utensil that's not easy to find, Like

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Speaker 1: it's not like you can.

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Speaker 2: Yeah, yeah, yeah, they do it so you can cut it.

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Speaker 2: It's like a Fisher's price, like pizza cutter. My first

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Speaker 2: pizza cutter. It's not.

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Speaker 1: I think I developed arthritis in my wrist from trying

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Speaker 1: to cut the thing because or if I already had it,

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Speaker 1: I made it worse.

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Speaker 2: Trying to cut with it is like trying to write

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Speaker 2: with a pen that's out of ink. You're just like

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Speaker 2: going over and over again.

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Speaker 3: If I at the point, Actually, it's really pretty rare

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Speaker 3: in Italy for them to cut the pizza for you.

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Speaker 3: They're just like you have a knife and a fork,

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Speaker 3: you're an adult. You're an adult.

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Speaker 2: They just asshole, They flung it at your face. Are you?

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Speaker 3: Are you? You a little baby?

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Speaker 2: You neizza cut Oh? That does feel like the message

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Speaker 2: they're sending where they're like, plastic pizza cutter for you.

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Speaker 2: Celiac baby. Yeah, Celiac baby, you need us not to

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Speaker 2: use real flower. Here's a little plastic pizza cut you.

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Speaker 4: Little Tommy, can't handle can't handle weed you, little Tommy.

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Speaker 2: Hello the Internet, and welcome to Season four hundred, Episode

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Speaker 2: four of I Guess. We continue our very special Season

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Speaker 2: four hundred Extravaganza, which we we've we've prepared many special things,

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Speaker 2: many ordinary episodes without one of the co hosts. Here

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Speaker 2: just for you, guys, just for you, Zei Gang, as

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Speaker 2: a way of saying thank you for you for sticking

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Speaker 2: with us. We don't realize we're coming up on landmarks

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Speaker 2: like this, even though I say what season it is

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Speaker 2: at the beginning of every episode. We're reminded every single day,

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Speaker 2: and yet I was shocked that we were at season

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Speaker 2: four hundred. Like at the end of last week, I

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Speaker 2: was like three ninety nine. That can only mean one thing. Anyways,

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Speaker 2: Welcome to season four hundred. It's been a blast. This

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Speaker 2: is a podcast where we take a deep dive into

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Speaker 2: America Shared consciousness. I'm being told, Wow, that bad decision

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Speaker 2: four hundred seasons ago to make that the premise of

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Speaker 2: our podcast. It's Thursday, August seventh, twenty twenty five. My

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Speaker 2: name is Jack O'Brien ak. It was p Jack. We

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Speaker 2: all know that. Don't blame wood or ice no more,

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Speaker 2: no more. It was pissed Jack. Don't blame wood or

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Speaker 2: ice no more. That one courtesy of doctor Mondo, PhD,

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Speaker 2: who resurfaced this one. Thank you very much. In reference

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Speaker 2: to so the scene of the crime back at the

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Speaker 2: scene of the crime in Ocean City. The time that

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Speaker 2: I rode a scary ride, admittedly a scary ride at

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Speaker 2: Wonderland Pier with my cousins Preston or with my nephews

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Speaker 2: and your family. Yes, Rip, we will talk about that.

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Speaker 2: Walked off the ride. My shorts were wet. Nobody knows

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Speaker 2: why the ride was scary. But I did not piss

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Speaker 2: my pants. I yes, I had been known for pissing

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Speaker 2: my pants at a certain point in my life when

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Speaker 2: I drank too much, but I did not. I was

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Speaker 2: sober at the time. Find a new angle. I just

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Speaker 2: guessed that maybe somebody had on of water ice onto

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Speaker 2: the ride and.

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Speaker 3: That's anyways, someone piss onto your.

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Speaker 2: Somebody somebody else pissed my pants. Maybe is what is

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Speaker 2: what I think, but yeah, I don't know. My relationship

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Speaker 2: to the Zeit Gang is similar to my relationship to

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Speaker 2: my cousins, where you know, you piss yourself on one

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Speaker 2: ride five years ago, say it must be water ice,

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Speaker 2: start crying when they ask you follow up questions, and

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Speaker 2: you know they won't let you forget it every time

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Speaker 2: you're in Ocean Sydney and suddenly you're Rita's wooter ice

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Speaker 2: piss pants cry baby guy. Thanks a lot, Doctor Mondo PhD.

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Speaker 2: I do appreciate it. Appreciate you and all the people

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Speaker 2: who do the wonderful akas for us, you're a bit

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Speaker 2: huge part of this show. We love you. Hey. Speaking

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Speaker 2: of we love you, we're thrilled to be joined in

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Speaker 2: our second seat by a brilliant comedian, writer actor Knew

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Speaker 2: a special Daddy Long Legs. Ugh loves talking about his legs.

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Speaker 2: The special is really good. His legs are also pretty good.

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Speaker 2: That's set one of our favorite guests. And yet on

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Speaker 2: the other hand, he is the coiner of the disgusting

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Speaker 2: phrase plumpers to describe his thighs. Please welcome back to

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Speaker 2: the show, Blake wexland.

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Speaker 1: Ooh nice note, this is Blake Wexler AKA. I love

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Speaker 1: it when you look at my plump bers. My pants

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Speaker 1: are gonna tear six XL underwear. I love it when

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Speaker 1: you look at big plumpers, that yummy south of tummy,

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Speaker 1: bigger than old Deuteronomy. I love it when you call

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Speaker 1: it plumpers. Oh that's filth. Thanks for having me this week.

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Speaker 1: It's great to be on season four hundred.

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Speaker 2: Season four hundred of this year. We made it. A

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Speaker 2: lot of people said three hundred, maybe four hundred seasons.

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Speaker 2: Not a chance in hell they said it. Many were saying,

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Speaker 2: can't they.

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Speaker 1: Just follow the British television model of two seasons with

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Speaker 1: six episodes in them and then fucking done.

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Speaker 2: But now we do follow their model and the number

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Speaker 2: of episodes per season. But we've gone a few beyond

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Speaker 2: what's normal for the British to season four hundred, Blake,

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Speaker 2: we are thrilled to be joined in our third seat

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Speaker 2: by one of the funniest comedy writers doing it anywhere

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Speaker 2: you know. Her words from the account bird's rights activist

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Speaker 2: on Twitter some more news with Cody Johnston. You know

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Speaker 2: her voice from podcasts such as Creature Feature and Secretly

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Speaker 2: Incredibly Fascinating. Please welcome, coming all the way from the Brilliant,

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Speaker 2: the Talented. It's Kenny Gobay Jack.

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Speaker 3: I didn't realize you were Italian.

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Speaker 2: All right, you're so good. I mean, I know about

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Speaker 2: the phrase when in Rome earlier before we started recording

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Speaker 2: pizza for breakfasts, like an Italian meatballs for lunch and

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Speaker 2: antipasta for dinner. A lot people don't realize that. And

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Speaker 2: I eat dinner at two am. It's like an Italian.

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Speaker 3: Like an Italian Actually almost true. They eat very late here.

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Speaker 2: I know they eat so late. It's actually like the

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Speaker 2: antiposty is the main course. The cigarettes are the antipasti course,

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Speaker 2: and then the four or five glasses red wine are deserted.

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Speaker 3: Yeah, there's usually a little little digestive bit of alcohol,

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Speaker 3: a little bit of lemon cello after. It's like it's

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Speaker 3: for your digestion.

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Speaker 2: It's proposti never once stop.

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Speaker 3: Yeah, it's never once stopped. My gurd, Yeah, not a

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Speaker 3: single time.

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Speaker 2: I don't even know what GURD is.

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Speaker 3: Gill reflux disorder.

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Speaker 2: Oh okay, who's Italian now, Jack, I think Italian. That's

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Speaker 2: a little fun Italian word.

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Speaker 1: That you've picked up over there. How long have you

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Speaker 1: been over there, Katie?

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Speaker 3: About four years now?

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Speaker 2: Oh amazing. Yeah, Jesus Blake Blake. Before we start recording,

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Speaker 2: Blake was like, Katie, and you're still in la and

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Speaker 2: which was which is great?

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Speaker 1: Been there for years as I was looking at myself

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Speaker 1: in the mirror, like listening to anybody's clue examining his legs.

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Speaker 2: Yeah, so they've grown doing curls for some reason. Katie.

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Speaker 2: We're thrilled to have you here. We're going to get

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Speaker 2: to know you a little bit better in a moment. First,

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Speaker 2: we're going to tell the listeners a couple of things

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Speaker 2: we're talking about today, and some of these are stories

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Speaker 2: that you contributed. Because in addition to Miles being out

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Speaker 2: this week, so's our writer Jam mcnap is out this week,

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Speaker 2: Katie Goldenbod wants to worry Paula ve Ganalin filling in

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Speaker 2: on the writing front. So we've got a bunch of

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Speaker 2: fun stories from Katie and Paulay.

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Speaker 3: Yeah, really nice eemil from you guys. We've looked everywhere

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Speaker 3: we can't find anyone else was worded to you. Yeah,

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Speaker 3: it's Victor was very nice.

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Speaker 2: He's very nicture, is just the most just stone faced,

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Speaker 2: like a slight smile while sliding the knife in between

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Speaker 2: my reachs. You know what I'm saying. This guy, Victor's

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Speaker 2: like biggest sweetheart in the world.

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Speaker 1: And he sends me pictures of condemned buildings at two

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Speaker 1: o'clock in the morning every single day.

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Speaker 2: Picked me up.

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Speaker 3: Yeah, I was someone in my life like that.

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Speaker 2: Hey you yeah, yeah, I like the Victor. One thing

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Speaker 2: we're going to be talking about is, uh, how how's

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Speaker 2: tourism going in the US? I just I do like

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Speaker 2: to always whenever Katie's on, ask like, how are we

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Speaker 2: looking to you from outside? Looking good? Seemed good? So

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Speaker 2: we'll talk about that. We're gonna talk about the fascism timeline.

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Speaker 2: Where we're at. This is a question that I've frequently

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Speaker 2: ask myself. M Guessing. The New Yorker writer has had

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Speaker 2: some things to say about this. I always find their

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Speaker 2: insight valuable because they lived through Putin's rise and Russias

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Speaker 2: fall into authoritarianism, and they are one of the people

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Speaker 2: who from twenty sixteen has been like, hey, this is

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Speaker 2: looking a lot like Putin like a lot, I know

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Speaker 2: that a lot, like We're Completely Fuck one of my

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Speaker 2: favorite songs for any time of year. That and first Noel,

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Speaker 2: we were talking on yesterday. Did you guys see the

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Speaker 2: Panama playlists which are like elite somebody leaked famous and

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Speaker 2: powerful people's Spotify playlists and jd Vance has won for

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Speaker 2: making dinner. And first of all, all these people's playlists

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Speaker 2: are just like Backstreet Boys and Sync and Britney Spears songs.

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Speaker 2: For some reason, they're all just like Hillary Duff, like

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Speaker 2: just Vanessa Carl, just like the songs that were playing

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Speaker 2: on the radio ambiently in like early hot teen movies.

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Speaker 2: But anyways, he kicks off like in a playlist full

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Speaker 2: of that and just like random like jack FM cut.

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Speaker 2: He kicks it off with first Noel for making dinner.

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Speaker 3: Making dinner.

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Speaker 2: YEA what better song? Anyways, we'll talk about tourism, disaster

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Speaker 2: tourism in the United States, we'll talk about RFK killing

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Speaker 2: it all that plenty more. But first Katie, we do

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Speaker 2: like to ask our guests, what is something from your

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Speaker 2: search history that's revealing about who you are?

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Speaker 3: I did Google Swallow Nest because I was curious about

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Speaker 3: swallow nest soup, and I had this vague notion that

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Speaker 3: it was mostly bird spit. And I thought people who

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Speaker 3: are like having swallenness soup are like mostly consuming bird spits.

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Speaker 3: So I looked it up. I was right. It is

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Speaker 3: so the swallowness are mostly hardened swift spit. I mean,

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Speaker 3: it's confusing because they're actually swifts or swiftlets, they aren't swallows.

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Speaker 3: Even though it's called swallow nest and it's like a

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Speaker 3: bunch of spit, it's kind of got it's got kind

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Speaker 3: of like it's an interesting texture of these nests because

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Speaker 3: it's sort of like no, no, no, I kind of

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Speaker 3: want to.

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Speaker 2: But I want you to yes. I also want you

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Speaker 2: to yes if you.

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Speaker 3: Guys buy it for it's like thousands of dollars.

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Speaker 2: So it's yeah, it's did pull that down easy juice three.

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Speaker 3: It's got like a almost like a taffy texture because

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Speaker 3: it's like the bird is sort of three D printing

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Speaker 3: the nest with its spit coming out of its mouth

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Speaker 3: sort of back. Yeah.

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Speaker 2: Yeah, So it's not like gumming together a bunch of

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Speaker 2: like branches with its spit. It's pure spit. The whole

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Speaker 2: thing is.

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Speaker 3: It's mostly spit at least what they collect. I think

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Speaker 3: they have to clean stuff off of it, probably like

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Speaker 3: bird shit and stuff, feathers. I imagine they're cleaning these

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Speaker 3: nests before consumption. But the stuff, but the stuff that

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Speaker 3: you're eating is like almost completely bird spit.

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Speaker 5: Damn.

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Speaker 2: Yeah, so like you get to be a baby bird

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Speaker 2: for a moment. Yes, yeah, that's kind of cute.

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Speaker 3: Yeah, that's fun. It's kind of mouth. It's like French

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Speaker 3: kissing a bird in your soup.

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Speaker 2: So they are so into these birds that they will

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Speaker 2: eat their spit, but they didn't bother to get the

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Speaker 2: right one.

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Speaker 3: They're like, okay, yeah, I don't know why. It's a

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Speaker 3: swift sand swallows are quite similar, to be fair, So

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Speaker 3: I don't know. I don't know who came up with

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Speaker 3: that misnomer.

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Speaker 2: Swift yea swift nest soup both very difficult for some

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Speaker 2: people to say, but also maybe not a swallowed nest.

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Speaker 2: I thought you were just like googling, like can I

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Speaker 2: swallow this nest?

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Speaker 3: I mean essentially that is a question.

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Speaker 2: Well, those bird's nest or what Katie, what's the base

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Speaker 2: of the soup, Like is it like is there a

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Speaker 2: broth or is it just straight spit?

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Speaker 3: Put it in a broth and it kind of turns

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Speaker 3: into this gelatinous texture.

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Speaker 2: Interesting.

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Speaker 3: Yeah, it's I'm not sure if I would be able

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Speaker 3: to like the idea that it's bird spit is actually

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Speaker 3: not the part that bothers me. When I read about

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Speaker 3: its texture being described as gelatinous once it was in

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Speaker 3: the soup made me feel not great about it. Yeah,

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Speaker 3: why gelatinous is not a good word, and it's not

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Speaker 3: off it feeling.

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Speaker 2: It is just good to know if you're ever like, hmm,

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Speaker 2: I wonder if like I should try that berry. Maybe

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Speaker 2: nobody's tried it before, and it's fine. We've tried everything.

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Speaker 2: People have tried everything. If it's possible to eat, people

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Speaker 2: have tried it and they know about it, and it's

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Speaker 2: considered a delicacy somewhere, so you don't have to worry

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Speaker 2: about that. Like somebody has eaten somebody took a nest

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Speaker 2: of a bird and was like, soup maybe as well.

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Speaker 1: Yeah, my aunt makes this soup, makes something called lasagna soup,

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Speaker 1: and my friend Todd and I laughed at like, well,

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Speaker 1: she tried to make lasagna and clearly made it to

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Speaker 1: watery and just said it was like, oh no, it's

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Speaker 1: a lasagna soup. It's like, no, you fucked lasagna and

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Speaker 1: that's what this is.

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Speaker 3: That's that's worse. I would definitely have the bird the

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Speaker 3: bird soup for sure. It's also like we eat a

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Speaker 3: lot of like stuff that when you think about it,

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Speaker 3: it's a little gross, like honey is bee vomit like

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Speaker 3: be regurgited.

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Speaker 2: Tho it's very maybe maybe so swift.

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Speaker 3: It's I mean, I think because it's so love is

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Speaker 3: got to have something going on. I'm not I'm not

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Speaker 3: dissing the soup. It is very expensive. I cannot afford it,

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Speaker 3: but yeah, I mean like, also, I don't I realize

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Speaker 3: I don't check all the time that shrimp are deveined,

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Speaker 3: especially like if it's like I'm eating so much shrimp.

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Speaker 2: Poop, shrimp shit you in particular. Yeah, literally, because I

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Speaker 2: realized that I had only eaten three pieces of pizza

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Speaker 2: for breakfast right before we recorded, I went and ate

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Speaker 2: six shrimp cocktail that we had left over in the

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Speaker 2: so I just as I'm digesting shrimp, I do like

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Speaker 2: to think about that that might have been like, you know,

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Speaker 2: a healthy portion, a healthy heaping of a shrimp.

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Speaker 1: Shitve Maco, Manco, Manco and deveins their pizza.

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Speaker 2: Is that correct? No, that's actually what gives it the flavor,

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Speaker 2: That's what gives it that little punch. Superducer Bay says

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Speaker 2: that the swallow nest soup is more dessert in China,

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Speaker 2: So Appia, I wonder help food. You know how some

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Speaker 2: vodka kind of is or not vodka vomit is kind

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Speaker 2: of like sweet smelling sure, yeah, yeah, I wonder if

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Speaker 2: that's one of the other. Also, they found a valentine

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Speaker 2: for Manco and Manco's that looks like it was created

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Speaker 2: by my seven year old. Everything, like the Filly area

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Speaker 2: really does feel like you are in a different country

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Speaker 2: that has a different level of Like the billboards are like,

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Speaker 2: these don't seem like they were professionally made.

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Speaker 3: Well, I'm also not sure about the actual test text,

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Speaker 3: not just the design, because it says roses are red,

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Speaker 3: violets are blue. I'd give a pizza my heart to you.

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Speaker 2: Yeah, like a pizza.

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Speaker 3: Are you giving the pizza the heart?

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Speaker 2: No? No, I'd give a pizza my heart to you

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Speaker 2: like a piece of my heart.

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Speaker 3: A pizza my heart.

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Speaker 2: The heart is clogged like you want my heart? Yeah, yeah,

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Speaker 2: A pizza my Heartizza my heart, A piece of my

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Speaker 2: heart is the name of the episode. What is something

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Speaker 2: you think is underrated?

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Speaker 3: So okay, I learned this story relatively recently and I

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Speaker 3: can't believe.

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Speaker 2: I don't know.

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Speaker 3: It feels like it needs to be taught in schools.

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Speaker 3: It's the City Corps Center Engineering Crisis. Guys hear about this.

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Speaker 2: You guys know about this. I can't wait to hear more.

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Speaker 2: My favorite journalist, Edward R. Murrow, was always a Jay Leno,

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Speaker 2: So with that lead in, I can't I can't wait

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Speaker 2: to hear what's next.

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Speaker 3: It's it's a skyscraper that's built on stilts. It was

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Speaker 3: built in the seventies and the reason it's on stilts

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Speaker 3: is that there's like a church underneath it that refused

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Speaker 3: to move. But the City Corps was able to get

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Speaker 3: the property rights like above the church, but not the

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Speaker 3: church itself. So their architect and engineer came up with this,

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Speaker 3: like we'll put it on stilts. The skyscraper. It's not

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Speaker 3: a building, so it's just like up on stilts. Uh,

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Speaker 3: And it's kind of like they're they're not on the

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Speaker 3: edges of the building, but sort of on the inside.

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Speaker 3: It's kind of like if you had a stool and

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Speaker 3: then the the stilts of the stool were really crowded,

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Speaker 3: sort of near the middle. Yeah, it doesn't seem very stable.

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Speaker 3: So yeah, the City Corps Center right in New York City,

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Speaker 3: right in them.

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Speaker 2: Man, man, man, that sounds terrible.

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Speaker 3: Yeah, so yeah, it's right of me and.

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Speaker 2: Chi.

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Speaker 1: Yeah, I didn't notice the big building on top of

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Speaker 1: it all these years.

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Speaker 3: So it's this great of engineering. The structural engineer Bill

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Speaker 3: le Measure, which is a good.

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Speaker 2: Name, and I really the measure Bill.

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Speaker 3: Measure, and it's gonna get really ironic. So uh. He

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Speaker 3: was in charge of designing the building.

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Speaker 2: Uh.

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Speaker 3: And then after the building was already built, it's out there,

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Speaker 3: people are in it. Everyone's like, wow, building on stilts.

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Speaker 2: Cool.

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Speaker 3: Uh. He discovered a fatal flawet that he's by his calculations,

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Speaker 3: it had like an almost one hundred percent chance in

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Speaker 3: the next century of collapsing and killing a bunch of people.

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Speaker 3: So already hilarious. So it was made with bolted struts

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Speaker 3: instead of welted struts. Amateur move. I mean, I know

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Speaker 3: what you guys are thinking. Like, why did they go

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Speaker 3: with it bolted? We yeah, welded. Yeah right, And so

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Speaker 3: basically Bill a measure did not measure by the way

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Speaker 3: it did.

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Speaker 2: Bill, but he did not measure.

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Speaker 3: Yeah, a hurricane was coming and I was going to

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Speaker 3: kill a bunch of people. So he discovered that he

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Speaker 3: did not for sorry, well, there's something called quartering winds,

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Speaker 3: which is just like sideways winds. So he like calculated

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Speaker 3: the effects on each face, but not the quartering winds.

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Speaker 3: Amateur move. And so because the struts were bolted rather

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Speaker 3: than welted, something to do with like sheer versus other forces,

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Speaker 3: you know, physics, and so like if this hurricane hit Manhattan,

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Speaker 3: this was in nineteen seventy eight, the building would go down.

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Speaker 2: And he k it in the seventies.

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Speaker 3: He built it, Yeah, like he built it in the seventies.

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Speaker 3: So in nineteen seventy eight he actually whistled blue on

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Speaker 3: himself because he was like he had at some points,

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Speaker 3: like I consider just driving off a bridge point because

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00:22:00,960 --> 00:22:03,800
Speaker 3: this was like a huge mistake and it all it

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Speaker 3: really only came surface because he kept getting questions from

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Speaker 3: structural engineering grad students were like, how does this building work?

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Speaker 3: You don't understand it. He's like, let me check them out,

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Speaker 3: let me measure again. Yeah, And so he was mere right,

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Speaker 3: And it was actually a really incredible building because it

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Speaker 3: was like the first one that had uh something called

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Speaker 3: a tuned mass dampener which is sort of like a

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Speaker 3: weight on springs that when the building sways and wind,

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Speaker 3: it like counters the sway so the building doesn't sway

378
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Speaker 3: as much. So it was it was, it was very

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00:22:40,280 --> 00:22:42,399
Speaker 3: cool and like buildings still use that, like this was

380
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Speaker 3: the first building that used it, so it was actually

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Speaker 3: it was a really It's not like this structural engineer

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Speaker 3: was an idiot. He was really really good. He just

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Speaker 3: didn't realize his firm used bolted struts and he hadn't

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Speaker 3: done this calculation. So he like told city corpse. City

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Speaker 3: Corps panicked and told this city. The city panicked. But

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Speaker 3: then they decided to like in secret, they did not

387
00:23:04,200 --> 00:23:06,439
Speaker 3: tell the public because they didn't want them to panic.

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00:23:07,080 --> 00:23:10,040
Speaker 3: In secret, they had construction crews come in the dead

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Speaker 3: of night into the building and replace the struts. Like

390
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Speaker 3: they added I think they just had to add more

391
00:23:16,400 --> 00:23:19,240
Speaker 3: bolts or add more struts to it to make it safe.

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Speaker 3: And so they would go like come in at night

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Speaker 3: in secret. It was a secret for almost twenty years

394
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Speaker 3: that this building almost came down. And then they're like, yeah,

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Speaker 3: that happened, don't worry about it. It was fine, it turned

396
00:23:30,480 --> 00:23:37,160
Speaker 3: out great. They did fix it, Yes, they fixed it,

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Speaker 3: and they had a but the city had this evacuation

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Speaker 3: planned for like ten city blocks for people if the

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Speaker 3: hurricane was going to hit, because they were not going

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Speaker 3: to be able to finish the renovations in time for

401
00:23:48,840 --> 00:23:52,000
Speaker 3: the hurricane. So it's just like their plan B was

402
00:23:52,040 --> 00:23:54,440
Speaker 3: like everyone out of Manhattan, just leave please.

403
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Speaker 2: Yeah. Yeah, I love this story. I agree it should

404
00:23:57,000 --> 00:24:00,160
Speaker 2: be taught in schools. I have another story that I

405
00:24:00,200 --> 00:24:03,159
Speaker 2: think is similar, with a less happy ending that I

406
00:24:03,160 --> 00:24:06,560
Speaker 2: think explains basically the modern world. Let's take a quick break.

407
00:24:06,600 --> 00:24:08,240
Speaker 2: We'll come back. We'll talk about this story. We're not

408
00:24:08,240 --> 00:24:09,760
Speaker 2: gonna get to any of the news stories we talked

409
00:24:09,760 --> 00:24:12,760
Speaker 2: about today about the way anybody, but you know, those

410
00:24:12,800 --> 00:24:15,359
Speaker 2: are things that are happening. But well, we'll take a

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00:24:15,400 --> 00:24:29,040
Speaker 2: quick break. We'll be right back, and we're back. And

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Speaker 2: one thing I love about that story is that he

413
00:24:31,400 --> 00:24:34,840
Speaker 2: built an impossible looking building and it was like and

414
00:24:35,000 --> 00:24:37,879
Speaker 2: was not careful about it. It was just like, yeah, no,

415
00:24:38,000 --> 00:24:41,479
Speaker 2: it's creepy, but like that saved his ass there, just

416
00:24:41,520 --> 00:24:45,000
Speaker 2: like that wild man, like, how is that possible? And

417
00:24:45,040 --> 00:24:49,439
Speaker 2: he was like possible. Oh shit, it isn't. I don't know.

418
00:24:49,880 --> 00:24:51,680
Speaker 2: I'll talk about this every once in a while that

419
00:24:51,760 --> 00:24:59,960
Speaker 2: there was this huge landslide in Peru that like destroy

420
00:25:00,080 --> 00:25:02,840
Speaker 2: in an entire town, like a town of like there

421
00:25:02,840 --> 00:25:06,120
Speaker 2: were thirty thousand people who die, and like I think

422
00:25:06,119 --> 00:25:08,960
Speaker 2: it was eight years before this landslide happened. It was

423
00:25:09,000 --> 00:25:13,399
Speaker 2: caused by an earthquake. A group of climbers like was

424
00:25:13,480 --> 00:25:16,439
Speaker 2: climbing the mountain that it happened on and were like

425
00:25:16,800 --> 00:25:23,240
Speaker 2: oh no, and came down told like everybody, told all

426
00:25:23,320 --> 00:25:27,600
Speaker 2: the people who were like you know, officials, and they

427
00:25:27,600 --> 00:25:30,680
Speaker 2: were kicked out of the country because they didn't want

428
00:25:30,960 --> 00:25:34,840
Speaker 2: to cause a panic. They're being made Yes, you just

429
00:25:34,920 --> 00:25:38,800
Speaker 2: being too negative, and then yeah, yeah, but I'm actually.

430
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Speaker 3: At capacity right now. I can't hear about landslides.

431
00:25:41,960 --> 00:25:47,720
Speaker 2: Thank you. That's such a hard four months. You cannot please.

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Speaker 3: You're trying to get me to do emotional labor about landslides.

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Speaker 2: Your shit on me right now?

434
00:25:54,359 --> 00:25:56,800
Speaker 3: That is trauma dumping, all right, Yeah.

435
00:25:56,840 --> 00:26:00,240
Speaker 2: It's but it's because I think about that story every time.

436
00:26:00,359 --> 00:26:03,160
Speaker 2: People are like, why is nothing happening with climate change?

437
00:26:03,200 --> 00:26:05,080
Speaker 2: And some people are like, well, it's kind of this

438
00:26:05,200 --> 00:26:08,640
Speaker 2: like diffuge problem. It's like too much of a bummer,

439
00:26:09,080 --> 00:26:12,240
Speaker 2: And it's like, well, even when it's an acute problem

440
00:26:12,640 --> 00:26:15,920
Speaker 2: with like a very specific like see that mountain that's

441
00:26:15,960 --> 00:26:18,440
Speaker 2: gonna come down on you and it's gonna kill everybody

442
00:26:18,840 --> 00:26:22,280
Speaker 2: like very soon the next time there's an earthquake something

443
00:26:22,359 --> 00:26:25,720
Speaker 2: like that specific. And they were like literally, not only

444
00:26:25,960 --> 00:26:28,200
Speaker 2: did people just like kind of make the jack off

445
00:26:28,240 --> 00:26:30,480
Speaker 2: hand motion and like go on with their day, they

446
00:26:30,560 --> 00:26:32,560
Speaker 2: kicked them out of the country for.

447
00:26:32,720 --> 00:26:36,280
Speaker 3: Like for saying it being too much of a bummer.

448
00:26:36,680 --> 00:26:43,600
Speaker 2: Yeah, you are hereby deported arm being a fucking bummer. Man.

449
00:26:44,160 --> 00:26:46,720
Speaker 2: It's so scary how that just keeps happening.

450
00:26:46,760 --> 00:26:50,440
Speaker 1: Where we just watched that that new net geo Ryan

451
00:26:50,480 --> 00:26:54,360
Speaker 1: kogl Or documentary on Katrina, which is so sad and

452
00:26:54,600 --> 00:26:57,720
Speaker 1: a really good documentary, but it's just one of the

453
00:26:57,760 --> 00:27:00,560
Speaker 1: things where like, guys, these levees are dog shit, like

454
00:27:00,600 --> 00:27:03,560
Speaker 1: we have no we knew about that. Yeah, this is

455
00:27:03,600 --> 00:27:06,680
Speaker 1: so bad. Yeah everyone knew. No, no, no, I'm sorry, go ahead, Yeah,

456
00:27:06,680 --> 00:27:08,400
Speaker 1: you're gonna say something more intelligent.

457
00:27:09,320 --> 00:27:11,440
Speaker 2: No, no, no, people who like paid attention to the news,

458
00:27:11,480 --> 00:27:13,880
Speaker 2: like they were saying that every time on an earthquake

459
00:27:14,000 --> 00:27:16,000
Speaker 2: or every time a hurricane would like come through there,

460
00:27:16,000 --> 00:27:17,679
Speaker 2: they'd be like, in the levees are gonna break the

461
00:27:17,680 --> 00:27:20,160
Speaker 2: next time, like a with a direct hit. And then

462
00:27:20,240 --> 00:27:22,000
Speaker 2: as Katrina was approaching that, they're like, you know, the

463
00:27:22,080 --> 00:27:24,840
Speaker 2: levees might break with a direct hit. And then the

464
00:27:24,960 --> 00:27:28,400
Speaker 2: levees broke with a direct hit, and they didn't fucking evacuate.

465
00:27:28,440 --> 00:27:31,600
Speaker 2: They like didn't have anybody there to help in case

466
00:27:31,720 --> 00:27:35,040
Speaker 2: of that very disaster that had been predicted one hundred times.

467
00:27:35,280 --> 00:27:38,640
Speaker 1: And even after they broke, people were like, I mean,

468
00:27:38,680 --> 00:27:41,240
Speaker 1: why is there so much water in this city?

469
00:27:41,320 --> 00:27:46,840
Speaker 2: This crazy deal with water. It's a wet white supremacy.

470
00:27:47,040 --> 00:27:50,560
Speaker 1: Yeah, it was white supremacy and turned abouts of color.

471
00:27:50,920 --> 00:27:51,280
Speaker 4: Yeah.

472
00:27:51,359 --> 00:27:52,119
Speaker 3: Yeah.

473
00:27:52,160 --> 00:27:55,760
Speaker 2: Anyways, all right, great underrated? What's something you think is overrated?

474
00:27:56,359 --> 00:27:58,520
Speaker 3: So I read this book that was on the New

475
00:27:58,600 --> 00:28:01,120
Speaker 3: York Times bestseller list of bunch of time called.

476
00:28:01,119 --> 00:28:04,480
Speaker 2: Christ Get It.

477
00:28:04,640 --> 00:28:07,040
Speaker 1: I don't know these parts of the show when people

478
00:28:07,119 --> 00:28:08,200
Speaker 1: talk about books.

479
00:28:09,040 --> 00:28:13,399
Speaker 3: So it was called Remarkably Bright Creatures, And I was

480
00:28:13,480 --> 00:28:16,800
Speaker 3: under the impression, based on the cover art as well

481
00:28:16,840 --> 00:28:19,359
Speaker 3: as the synopsis of the book, that this was going

482
00:28:19,400 --> 00:28:24,040
Speaker 3: to be about a mystery solving octopus, and it was

483
00:28:24,240 --> 00:28:28,880
Speaker 3: barely about that. Maybe five percent of the book was related.

484
00:28:29,119 --> 00:28:31,359
Speaker 3: It was a novel, and I thought it was going

485
00:28:31,440 --> 00:28:36,280
Speaker 3: to be heavy book. It's normal. I don't know, it's normal.

486
00:28:36,560 --> 00:28:37,359
Speaker 2: It's just a book.

487
00:28:37,600 --> 00:28:40,800
Speaker 3: It's a book, but it's but it's fiction.

488
00:28:41,320 --> 00:28:43,040
Speaker 2: Do you know what fiction? Sorry, Katie, we got to

489
00:28:43,040 --> 00:28:44,520
Speaker 2: stop down here and tell Blake.

490
00:28:44,520 --> 00:28:47,120
Speaker 1: That's what happens when things are rubbing together, right and

491
00:28:47,160 --> 00:28:48,600
Speaker 1: they don't.

492
00:28:48,200 --> 00:28:49,960
Speaker 2: Actually, you know, we don't have time. We don't have

493
00:28:50,000 --> 00:28:52,240
Speaker 2: to keep going, keep going.

494
00:28:52,560 --> 00:28:55,640
Speaker 3: So like it was, it was like so it did

495
00:28:55,680 --> 00:28:58,800
Speaker 3: have some octopus in it. Most of it, though, was

496
00:28:58,840 --> 00:29:04,280
Speaker 3: like feel good family crap, and I could not give

497
00:29:04,440 --> 00:29:08,040
Speaker 3: less of a shit Like I the only parts of

498
00:29:08,080 --> 00:29:11,720
Speaker 3: the book I wanted to read was about this mystery

499
00:29:11,840 --> 00:29:15,240
Speaker 3: solving octopus, and the author made the baffling decision that

500
00:29:15,240 --> 00:29:18,479
Speaker 3: that was not the interesting part. The interesting part was

501
00:29:18,520 --> 00:29:22,920
Speaker 3: following some random guy trying to track down his dad

502
00:29:22,920 --> 00:29:26,680
Speaker 3: that he hadn't seen since he was born, and his

503
00:29:26,920 --> 00:29:32,080
Speaker 3: grandma whatever it was, and it was the big I'm

504
00:29:32,120 --> 00:29:32,880
Speaker 3: so mad.

505
00:29:33,080 --> 00:29:37,600
Speaker 2: People have a real like human bias, you know, where

506
00:29:37,600 --> 00:29:40,440
Speaker 2: they're just like, the most interesting part would be this

507
00:29:40,560 --> 00:29:46,480
Speaker 2: person and what they think about their parents. It's like, uh, yeah,

508
00:29:46,520 --> 00:29:50,200
Speaker 2: we know. By the way, word for word, word for word,

509
00:29:50,240 --> 00:29:52,080
Speaker 2: you're the first half of that review. It was my

510
00:29:52,200 --> 00:29:55,640
Speaker 2: review of Finding Dory. Also, it was like, I could

511
00:29:55,680 --> 00:29:59,440
Speaker 2: have been about a crime solving octopus and instead of

512
00:29:59,640 --> 00:30:01,600
Speaker 2: fam friendly bullshit.

513
00:30:04,000 --> 00:30:06,840
Speaker 1: You got that into the New York Times, by the way,

514
00:30:06,400 --> 00:30:07,560
Speaker 1: yea by.

515
00:30:07,440 --> 00:30:09,320
Speaker 2: Taking out a full page. Of course.

516
00:30:09,360 --> 00:30:10,760
Speaker 1: Well it doesn't matter how you get it in there.

517
00:30:10,800 --> 00:30:12,640
Speaker 1: It's it's the destination, not the journey.

518
00:30:13,520 --> 00:30:15,640
Speaker 2: Yeah, that's why I'm a New York Times bestseller, by

519
00:30:15,680 --> 00:30:18,520
Speaker 2: the way, when you call myself that on a full page.

520
00:30:18,560 --> 00:30:21,440
Speaker 1: Yet, when you said brightest animals, I thought you were

521
00:30:21,440 --> 00:30:23,360
Speaker 1: going to talk about the angler fish and other animals

522
00:30:23,400 --> 00:30:25,320
Speaker 1: with lights coming off of would have been better.

523
00:30:26,560 --> 00:30:32,280
Speaker 3: So there these are creatures that give off light, and

524
00:30:32,400 --> 00:30:34,200
Speaker 3: just a list of them in a book. What I

525
00:30:34,240 --> 00:30:36,640
Speaker 3: would have enjoyed more And.

526
00:30:36,520 --> 00:30:39,240
Speaker 2: Were the people smart? Was the person and their.

527
00:30:39,160 --> 00:30:43,560
Speaker 3: Dad smart and they weren't. They weren't very smart. They

528
00:30:44,120 --> 00:30:48,160
Speaker 3: the author said, like this person is smart, and then

529
00:30:48,280 --> 00:30:52,120
Speaker 3: everything else was to the contrary. So, and there was

530
00:30:52,160 --> 00:30:55,560
Speaker 3: just so much focus on detail that I didn't care about.

531
00:30:55,640 --> 00:30:58,880
Speaker 3: It was like kind of it was like cock teasing

532
00:30:58,920 --> 00:31:01,320
Speaker 3: this octopus and I'm not giving us any of this

533
00:31:01,440 --> 00:31:02,520
Speaker 3: fucking octopus.

534
00:31:02,880 --> 00:31:09,080
Speaker 2: Yeah, that's fucked up. So remarkably bright creatures, go fuck yourself.

535
00:31:10,440 --> 00:31:11,600
Speaker 2: I put that in Italian.

536
00:31:12,440 --> 00:31:19,000
Speaker 3: If the very sweet author ever there is broken, it

537
00:31:19,000 --> 00:31:20,520
Speaker 3: seems like a very nice lady.

538
00:31:20,640 --> 00:31:23,920
Speaker 2: You're more than welcome on our show. I'm sure there

539
00:31:24,040 --> 00:31:26,080
Speaker 2: was a recent story about an octopus. Did you see

540
00:31:26,080 --> 00:31:31,000
Speaker 2: that story where a octopus that couldn't solve any crime

541
00:31:31,440 --> 00:31:35,560
Speaker 2: but is a Pacific giant octopus or something something? The

542
00:31:35,560 --> 00:31:39,800
Speaker 2: other in the San Antonio aquarium was accused of like

543
00:31:40,240 --> 00:31:43,160
Speaker 2: trying to pull a child into the tank.

544
00:31:43,720 --> 00:31:49,400
Speaker 3: Somehow nice about that one octopus solves the crime, the

545
00:31:49,440 --> 00:31:51,200
Speaker 3: other octopus does the crime.

546
00:31:51,560 --> 00:31:55,880
Speaker 2: Yeah. According to Brittany Tarrian, this is the mother's name,

547
00:31:56,400 --> 00:31:59,280
Speaker 2: which is just two white lady names matched together. But

548
00:32:00,800 --> 00:32:03,560
Speaker 2: on TikTok said, the octopus starts coming out of the

549
00:32:03,640 --> 00:32:06,680
Speaker 2: tank and the reason we don't have pictures or videos

550
00:32:06,680 --> 00:32:10,080
Speaker 2: of this is because my friend was also freaking out.

551
00:32:10,160 --> 00:32:12,400
Speaker 2: And then she said that her child got bruises on

552
00:32:12,440 --> 00:32:15,880
Speaker 2: the arm and the octopus was not letting go.

553
00:32:16,880 --> 00:32:20,080
Speaker 1: I mean, so I have insight into this where this

554
00:32:20,120 --> 00:32:22,840
Speaker 1: is a new thing that the San Antonio aquariums doing,

555
00:32:22,840 --> 00:32:25,320
Speaker 1: where it helps. So one of the kids, there were

556
00:32:25,320 --> 00:32:27,360
Speaker 1: two kids. The kid who was grabbed was wearing a

557
00:32:27,400 --> 00:32:29,640
Speaker 1: Kansas City Chief's hat. The other kid was wearing an

558
00:32:29,640 --> 00:32:32,280
Speaker 1: Eagles hat. Because it's how they predict Super bowls now

559
00:32:32,480 --> 00:32:36,080
Speaker 1: where the octopus pulls a child wearing the hat, which.

560
00:32:35,960 --> 00:32:38,960
Speaker 3: Child is drowned by the octopus, so it looks like

561
00:32:39,000 --> 00:32:43,280
Speaker 3: it's the chiefs in twenty twenty six tragedy on two counts.

562
00:32:43,320 --> 00:32:45,720
Speaker 2: I thought you were going to say that that child

563
00:32:45,840 --> 00:32:48,840
Speaker 2: was you, and they were just like, we've got to

564
00:32:49,080 --> 00:32:51,920
Speaker 2: make it a child otherwise it's not going to be believable.

565
00:32:53,120 --> 00:32:59,520
Speaker 2: They thought I was a child. He was human sized

566
00:32:59,520 --> 00:33:03,120
Speaker 2: and had a full beard, but he was licking a

567
00:33:03,120 --> 00:33:09,200
Speaker 2: lollipopping out a propeller hat and progress like.

568
00:33:09,240 --> 00:33:11,280
Speaker 1: There was two thousand applicants and I made it through

569
00:33:11,280 --> 00:33:13,400
Speaker 1: all of it. How did you realize I wasn't a child?

570
00:33:14,440 --> 00:33:17,960
Speaker 1: All right, let's get into some news. Let's talk tourism. Sure,

571
00:33:18,360 --> 00:33:22,240
Speaker 1: they're saying tourism bad in America right now. I mean, okay,

572
00:33:22,280 --> 00:33:26,800
Speaker 1: So tourism on fire is one way that I'm sure

573
00:33:26,840 --> 00:33:29,360
Speaker 1: the news is being given to Trump because have you

574
00:33:29,400 --> 00:33:32,160
Speaker 1: noticed that he's really like into things being hot lately.

575
00:33:32,640 --> 00:33:35,840
Speaker 1: He's like business hotter than ever, the hottest.

576
00:33:35,760 --> 00:33:39,280
Speaker 3: True literally hottest because he put.

577
00:33:37,840 --> 00:33:42,640
Speaker 2: It, yeah yeah, so hot. Well he's everything. He probably

578
00:33:42,760 --> 00:33:44,600
Speaker 2: like puts his own name in quotes. He doesn't know

579
00:33:44,640 --> 00:33:48,080
Speaker 2: how quotes work. But anyways, yeah, but the Grand King

580
00:33:48,160 --> 00:33:51,200
Speaker 2: in literally hot right now. The dragon Bravo fire has

581
00:33:51,240 --> 00:33:55,240
Speaker 2: been going on since July fourth, destroyed dozens of structures,

582
00:33:55,280 --> 00:33:57,720
Speaker 2: including the Grand King and Lodge, which is one of

583
00:33:57,760 --> 00:34:04,440
Speaker 2: the main tourism necstasies nex sise whoa excise you put

584
00:34:04,480 --> 00:34:06,719
Speaker 2: it on the story, I don't know.

585
00:34:07,160 --> 00:34:07,840
Speaker 3: I don't know.

586
00:34:08,880 --> 00:34:14,560
Speaker 2: Locus locus of tourism. There we go. And this also

587
00:34:14,680 --> 00:34:17,600
Speaker 2: might be tied to the federal government just like not

588
00:34:17,719 --> 00:34:21,640
Speaker 2: being staffed anymore, because the way that they handled this

589
00:34:22,400 --> 00:34:24,680
Speaker 2: was so there was a lightning strike on the fourth

590
00:34:24,719 --> 00:34:31,960
Speaker 2: of July. God was like, hell yeah, America, brother, and

591
00:34:32,120 --> 00:34:35,080
Speaker 2: there's a lightning strike, and the federal government was like

592
00:34:36,000 --> 00:34:38,800
Speaker 2: it almost feels like they just found out about controlled

593
00:34:38,840 --> 00:34:42,279
Speaker 2: burns or something like that day because they were like,

594
00:34:42,400 --> 00:34:45,480
Speaker 2: let's do a controlled burn, which you're supposed to do

595
00:34:45,600 --> 00:34:48,839
Speaker 2: during the winter when things aren't like hyper flammable. You're

596
00:34:48,840 --> 00:34:52,319
Speaker 2: supposed to like start the fire intentionally and like have

597
00:34:52,400 --> 00:34:56,279
Speaker 2: a path and you don't just claire a fire that

598
00:34:56,480 --> 00:34:59,719
Speaker 2: is not in your control a controlled burn. But that's

599
00:34:59,719 --> 00:35:02,120
Speaker 2: what they did, hear, and it got out of control

600
00:35:02,520 --> 00:35:05,840
Speaker 2: and hence now you can't go to the Grand Canyon anymore.

601
00:35:07,239 --> 00:35:11,400
Speaker 2: On Trump's America, we're also hearing bad news that Vegas

602
00:35:11,480 --> 00:35:15,600
Speaker 2: tourism is down in June by eleven percent, and that

603
00:35:15,719 --> 00:35:18,839
Speaker 2: was before you know, the Grand Canyon fire, which is

604
00:35:18,960 --> 00:35:23,120
Speaker 2: fucking up air quality in that whole region and nobody

605
00:35:23,120 --> 00:35:26,840
Speaker 2: can figure it out. Yeah, it's it's weird.

606
00:35:27,600 --> 00:35:32,120
Speaker 3: Maybe all the Lost Wages jokes finally hit people, right.

607
00:35:32,840 --> 00:35:36,520
Speaker 1: It's this is such a welcoming country to foreign tourists

608
00:35:36,560 --> 00:35:39,160
Speaker 1: as well coming in, like people weren't afraid. It's it's

609
00:35:39,200 --> 00:35:42,160
Speaker 1: so Also, the World Cup is coming up as well

610
00:35:42,239 --> 00:35:47,280
Speaker 1: with this fucking awful but in this why would anyone

611
00:35:47,320 --> 00:35:49,720
Speaker 1: want to come here during the war. It's the worst timing.

612
00:35:50,440 --> 00:35:54,560
Speaker 2: Like instead of having a like tourism camp. You know

613
00:35:54,600 --> 00:35:58,239
Speaker 2: other countries I've seen them, they're like visit Italy. It's

614
00:35:58,600 --> 00:36:00,640
Speaker 2: the I mean, it's the place every but he visits.

615
00:36:00,640 --> 00:36:02,759
Speaker 2: It's fucking sick. Look at look at all this art.

616
00:36:02,840 --> 00:36:04,960
Speaker 2: I think that I'm directly quoting the campaign.

617
00:36:05,000 --> 00:36:09,359
Speaker 3: Now I hope yea, there so sick.

618
00:36:09,400 --> 00:36:12,000
Speaker 2: Look at the art. Then is this fucking the streets

619
00:36:12,000 --> 00:36:19,560
Speaker 2: of water dog, Yeah, the streets are again. I think

620
00:36:19,560 --> 00:36:23,239
Speaker 2: this might be a Philly specific at campaign. Woldos are

621
00:36:23,320 --> 00:36:24,080
Speaker 2: boat pilot.

622
00:36:25,120 --> 00:36:27,400
Speaker 3: We need a we need a Philly pope after the

623
00:36:27,480 --> 00:36:28,360
Speaker 3: Chicago Pope.

624
00:36:28,600 --> 00:36:31,719
Speaker 2: I know, God, could you imagine he went to Villanova.

625
00:36:31,800 --> 00:36:34,000
Speaker 2: He went to Villanova did so he is kind, He

626
00:36:34,120 --> 00:36:37,799
Speaker 2: is half oh Man by the way, like you know,

627
00:36:37,880 --> 00:36:41,360
Speaker 2: the only logos that you see when you're at the

628
00:36:41,800 --> 00:36:43,600
Speaker 2: part of the Jersey Shore where I am are like

629
00:36:44,000 --> 00:36:47,480
Speaker 2: Philadelphia Phillies, Philadelphia Eagles no more than sixers because they're

630
00:36:47,480 --> 00:36:51,440
Speaker 2: a garbage organization, and then and then Villanova. But Villanova

631
00:36:51,600 --> 00:36:54,680
Speaker 2: is big right now. I think I think the Catholics

632
00:36:54,719 --> 00:36:59,400
Speaker 2: are very proud to have Villanova Pope down down the shore. Anyways,

633
00:37:00,000 --> 00:37:02,880
Speaker 2: some of the reasons that tourism might be down instead

634
00:37:02,920 --> 00:37:07,400
Speaker 2: of having a you know, well, come to America, visit

635
00:37:07,640 --> 00:37:12,400
Speaker 2: our giant land that you can roam freely. Inside of

636
00:37:12,440 --> 00:37:15,880
Speaker 2: our outward messaging has been like, we will fucking we

637
00:37:15,920 --> 00:37:20,360
Speaker 2: will lock you up. We're gonna put your family. Look,

638
00:37:20,760 --> 00:37:23,160
Speaker 2: we will. We will send you to a country you're

639
00:37:23,200 --> 00:37:25,560
Speaker 2: not even from, and you'll end up dead.

640
00:37:25,719 --> 00:37:29,520
Speaker 3: Maybe your parents will not know where you are or

641
00:37:29,560 --> 00:37:30,320
Speaker 3: that you've ever.

642
00:37:30,239 --> 00:37:34,160
Speaker 2: Existed, right well, erase you, like one of those guys

643
00:37:34,160 --> 00:37:37,160
Speaker 2: in Stalin pictures, you just like won't be on the

644
00:37:37,360 --> 00:37:40,880
Speaker 2: historical record. So that's one thing, and we that's a

645
00:37:40,920 --> 00:37:44,160
Speaker 2: tough obstacle to overcome. Yeah, it is. It is too early.

646
00:37:44,280 --> 00:37:48,040
Speaker 2: We're still testing the results on that campaign. Also, he's

647
00:37:48,080 --> 00:37:52,200
Speaker 2: completely fucked the economy, so people inside America have less

648
00:37:52,239 --> 00:37:55,640
Speaker 2: spending power. You know that that does seem like one

649
00:37:55,640 --> 00:37:58,600
Speaker 2: of those unfakeable things. It's like if people have money

650
00:37:58,600 --> 00:38:00,520
Speaker 2: to go to Vegas, like they can't be doing too

651
00:38:00,520 --> 00:38:03,880
Speaker 2: bad because they will go. If they have money to go,

652
00:38:04,000 --> 00:38:07,319
Speaker 2: they will go. And if they if they're not going

653
00:38:07,360 --> 00:38:10,520
Speaker 2: to Vegas, that means the economy is actually not doing great.

654
00:38:10,920 --> 00:38:13,399
Speaker 2: So I don't know what this means because I've heard

655
00:38:13,440 --> 00:38:17,279
Speaker 2: Trump is killing it on the economic front. But I

656
00:38:17,320 --> 00:38:21,080
Speaker 2: am just curious, Katie, from your perspective, how are we

657
00:38:21,160 --> 00:38:26,760
Speaker 2: doing how's it looking from outside? I do remember talking

658
00:38:26,800 --> 00:38:31,279
Speaker 2: to a German tourist in the US and they were

659
00:38:31,320 --> 00:38:34,400
Speaker 2: like selling me on the US as a tourist destination.

660
00:38:34,440 --> 00:38:36,719
Speaker 2: They're like, oh, you should like travel more in the

661
00:38:36,840 --> 00:38:39,560
Speaker 2: US because, like we come over there, you can like

662
00:38:39,680 --> 00:38:42,680
Speaker 2: go wherever you want. You don't need a passport to

663
00:38:42,719 --> 00:38:45,440
Speaker 2: go from state to state. There's so much nature there,

664
00:38:45,920 --> 00:38:49,320
Speaker 2: and your cuisine is amazing. No, they didn't say the

665
00:38:49,360 --> 00:38:54,399
Speaker 2: cuisine part. But is there a palpable sense that going

666
00:38:54,440 --> 00:38:58,680
Speaker 2: to the United States is less attractive and more unwelcoming

667
00:38:58,920 --> 00:38:59,480
Speaker 2: than before.

668
00:38:59,719 --> 00:39:04,839
Speaker 3: It's pretty palpable. I yeah, we've actually been both both

669
00:39:04,880 --> 00:39:07,840
Speaker 3: me and my husband have been asked by various people

670
00:39:08,320 --> 00:39:11,000
Speaker 3: if it's safe to go to the US and like

671
00:39:11,239 --> 00:39:15,759
Speaker 3: asking us for advice, and like they're kind of like saying,

672
00:39:15,760 --> 00:39:18,160
Speaker 3: like this is all overblown, right, like I can go,

673
00:39:18,280 --> 00:39:22,759
Speaker 3: it's fine, and we're like, uh, maybe, but yeah. I

674
00:39:22,760 --> 00:39:26,240
Speaker 3: think it kind of depends also on which country people

675
00:39:26,280 --> 00:39:29,880
Speaker 3: come from, Like, uh, a lot, like people we've talked

676
00:39:29,880 --> 00:39:34,640
Speaker 3: to who are from South American countries are not necessarily

677
00:39:34,640 --> 00:39:38,640
Speaker 3: they're like canceling plans, they're not going. Yeah, Italians I

678
00:39:38,680 --> 00:39:43,800
Speaker 3: think are confused and are a little bit wary because

679
00:39:43,840 --> 00:39:47,399
Speaker 3: of the news about like border problems. I don't think

680
00:39:47,400 --> 00:39:50,680
Speaker 3: they usually have too many issues, but I don't know,

681
00:39:50,760 --> 00:39:54,640
Speaker 3: my I mean like I can't. I can't considantly reassure them,

682
00:39:54,719 --> 00:39:57,120
Speaker 3: which is weird because they're like, is it safe to

683
00:39:57,120 --> 00:39:59,200
Speaker 3: go to the US, like in terms of like the border.

684
00:39:59,200 --> 00:40:02,440
Speaker 3: I'm like, I don't know. I mean, like, hopefully if

685
00:40:02,440 --> 00:40:07,279
Speaker 3: you have, you've made no mistake on your flight arrangements

686
00:40:07,400 --> 00:40:10,919
Speaker 3: or any of your paperwork, and like you didn't pack

687
00:40:11,000 --> 00:40:13,880
Speaker 3: too much luggage, so they're gonna like accuse you of

688
00:40:13,960 --> 00:40:16,800
Speaker 3: staying longer. Maybe it will be fine, But I can't.

689
00:40:16,920 --> 00:40:19,799
Speaker 3: It's very strange to be asked that and not be

690
00:40:19,840 --> 00:40:21,399
Speaker 3: able to be like, what are you talking about? It's

691
00:40:21,440 --> 00:40:21,920
Speaker 3: fine to go?

692
00:40:22,280 --> 00:40:25,080
Speaker 2: I mean, I think they're confused. Think about Ice having

693
00:40:25,120 --> 00:40:28,440
Speaker 2: to decide whether or not to arrest them when they

694
00:40:28,520 --> 00:40:33,400
Speaker 2: have dark hair and they don't speak English without an accent.

695
00:40:33,640 --> 00:40:35,920
Speaker 2: I mean, very that's hard on Ice too.

696
00:40:36,880 --> 00:40:39,840
Speaker 3: Will It's very funny when Italians are sort of prejudiced

697
00:40:39,840 --> 00:40:43,520
Speaker 3: against each other because it's guys in the eyes of America.

698
00:40:43,360 --> 00:40:43,840
Speaker 2: Right.

699
00:40:45,440 --> 00:40:46,040
Speaker 5: Italians.

700
00:40:46,120 --> 00:40:48,120
Speaker 2: Yeah, we were just.

701
00:40:48,120 --> 00:40:51,440
Speaker 1: In in Ireland last week and obviously this is anecdotal,

702
00:40:51,520 --> 00:40:53,840
Speaker 1: but you know, if you have a choice as an

703
00:40:53,880 --> 00:40:57,000
Speaker 1: international you know, like coming in internationally to the United States,

704
00:40:57,080 --> 00:40:59,879
Speaker 1: you have a choice between almost any country. And also,

705
00:41:00,040 --> 00:41:01,920
Speaker 1: why would you go to a country and spend your

706
00:41:01,920 --> 00:41:05,080
Speaker 1: money there that is currently waging a trade war against

707
00:41:05,120 --> 00:41:08,520
Speaker 1: the entire world, like like in making things more expensive

708
00:41:08,560 --> 00:41:11,520
Speaker 1: for you at home, and I mean forget us also

709
00:41:11,760 --> 00:41:14,799
Speaker 1: like you know, for them in other countries. And we

710
00:41:15,000 --> 00:41:18,120
Speaker 1: also while we were there, I saw so I'm getting

711
00:41:18,160 --> 00:41:21,000
Speaker 1: all this Irish pop up ship now on my Instagram.

712
00:41:21,000 --> 00:41:24,440
Speaker 1: And the saddest tourism thing I've ever seen was like

713
00:41:24,520 --> 00:41:28,439
Speaker 1: this guy, it was an airlinkis thing thing. There's there's

714
00:41:28,480 --> 00:41:33,080
Speaker 1: this gargeous unknown city and the United States that you

715
00:41:33,160 --> 00:41:36,760
Speaker 1: have to go visit. Direct flights from Dublin to Indianapolis,

716
00:41:37,040 --> 00:41:40,359
Speaker 1: and it was like the saddest thing in the There's

717
00:41:40,400 --> 00:41:42,760
Speaker 1: nothing to do in Indianapolis.

718
00:41:42,840 --> 00:41:45,400
Speaker 2: They have like I think a steakhouse that's supposed to

719
00:41:45,400 --> 00:41:49,480
Speaker 2: be good.

720
00:41:52,000 --> 00:41:54,880
Speaker 1: They have steak in Indianapolis, unlike Ireland where there's no

721
00:41:55,040 --> 00:41:58,440
Speaker 1: beef products whatsoever. But there's all the comments where like

722
00:41:58,480 --> 00:42:02,120
Speaker 1: people saying, I'm from Indianapolis. For the love of God,

723
00:42:02,440 --> 00:42:05,839
Speaker 1: do not come here. You deserve so much better than

724
00:42:05,880 --> 00:42:07,040
Speaker 1: coming to Indianapolis.

725
00:42:07,120 --> 00:42:11,240
Speaker 2: So you imagine going from Ireland to Indianapolis, Like Ireland

726
00:42:11,360 --> 00:42:16,320
Speaker 2: is beautiful. There's just a pub on every corner, people

727
00:42:16,520 --> 00:42:20,440
Speaker 2: just like playing just like you know what like movies

728
00:42:20,440 --> 00:42:24,120
Speaker 2: from the fifties about like there's a duop group on

729
00:42:24,200 --> 00:42:27,160
Speaker 2: every corner, like that kind of community that we made

730
00:42:27,239 --> 00:42:30,200
Speaker 2: up that happened in the fifties. Like that's actually what

731
00:42:30,320 --> 00:42:33,160
Speaker 2: Ireland's like. There's just a group of people playing fiddles

732
00:42:33,160 --> 00:42:36,360
Speaker 2: in every pub who just like they just like randomly

733
00:42:36,400 --> 00:42:39,000
Speaker 2: started playing together. They're like, oh, you playing the fiddle,

734
00:42:39,160 --> 00:42:42,400
Speaker 2: and like come in with a fucking you know, washboard

735
00:42:42,600 --> 00:42:45,000
Speaker 2: that they're playing or some spoons, I don't.

736
00:42:44,800 --> 00:42:47,919
Speaker 1: Know, or you could go to a massive convention center, right,

737
00:42:48,239 --> 00:42:51,000
Speaker 1: except so it depends on what you like. Everybody has different.

738
00:42:51,320 --> 00:42:54,640
Speaker 2: Indianapolis is like a city that was built to host

739
00:42:55,280 --> 00:42:59,840
Speaker 2: the NCAA Final Four and the Combine and the Combine

740
00:43:00,160 --> 00:43:03,120
Speaker 2: like yeah, stuff like that. It's good for events. It's

741
00:43:03,160 --> 00:43:07,960
Speaker 2: good for yeah, like professional like a bunch of sales

742
00:43:08,000 --> 00:43:11,400
Speaker 2: people have come in for the weekend to all you know,

743
00:43:11,640 --> 00:43:15,560
Speaker 2: hear the key keynote from the CFO of sales force.

744
00:43:15,800 --> 00:43:18,239
Speaker 2: That's what Indianapolis, I feel like is good for. I

745
00:43:18,360 --> 00:43:18,759
Speaker 2: feel like.

746
00:43:20,360 --> 00:43:22,799
Speaker 3: It's hard to travel as an American now and not

747
00:43:22,920 --> 00:43:26,759
Speaker 3: have people like demand to know why we're terifing the

748
00:43:26,800 --> 00:43:29,759
Speaker 3: ship out of whatever country you're going to, and it's like,

749
00:43:29,800 --> 00:43:31,640
Speaker 3: I don't know. I don't know art of the deal, man, I.

750
00:43:31,600 --> 00:43:35,479
Speaker 2: Don't know art of the deal. Brother, It's gonna be big.

751
00:43:35,920 --> 00:43:38,360
Speaker 2: It's gonna be real big. We're getting a good deal.

752
00:43:38,520 --> 00:43:42,360
Speaker 2: It's gonna be huge. Can just wait, you'll see, all right.

753
00:43:42,560 --> 00:43:44,400
Speaker 2: So people people have caught on that.

754
00:43:44,520 --> 00:43:47,120
Speaker 3: It's yeah, they're they're they're were like, and this is

755
00:43:47,200 --> 00:43:49,400
Speaker 3: not just big like people on vacation. These are like

756
00:43:49,480 --> 00:43:53,960
Speaker 3: researchers who will like like that work at the university

757
00:43:54,120 --> 00:43:56,360
Speaker 3: or like is it safe to like go to the

758
00:43:56,480 --> 00:43:58,920
Speaker 3: US for conferences and stuff. So like even in their

759
00:43:59,080 --> 00:44:02,320
Speaker 3: like professional life, it's are worried. Which again we can't

760
00:44:02,360 --> 00:44:06,720
Speaker 3: just be like yeah, no problems. It's like yeah, yeah, yeah.

761
00:44:07,080 --> 00:44:08,080
Speaker 5: No, it's good.

762
00:44:08,200 --> 00:44:11,600
Speaker 2: Just I don't know. Check it out Indianapolis. So you've

763
00:44:11,600 --> 00:44:14,400
Speaker 2: heard of Minneapolis. That's a good city. So this is

764
00:44:14,880 --> 00:44:18,359
Speaker 2: worse for another state that's worse than the other one.

765
00:44:19,680 --> 00:44:20,840
Speaker 2: Let's take a quick break, we'll be.

766
00:44:20,920 --> 00:44:32,880
Speaker 5: Right back, and we're back.

767
00:44:34,000 --> 00:44:37,640
Speaker 2: And I did want to get into an animal story

768
00:44:37,880 --> 00:44:41,520
Speaker 2: for animal Queen Katie Golden. I like, that's sick post

769
00:44:41,600 --> 00:44:46,880
Speaker 2: podcasts about animals, Clued Creature feature knows so much about animals,

770
00:44:47,239 --> 00:44:51,120
Speaker 2: so very learned, so learned. In fact, that she will

771
00:44:51,440 --> 00:44:54,240
Speaker 2: read a book and it's bad and she'll keep reading

772
00:44:54,280 --> 00:44:56,759
Speaker 2: it until the book is over is something that I've

773
00:44:56,840 --> 00:45:02,040
Speaker 2: learned that people do. Yeah, Ah, that's crazy. So they

774
00:45:02,080 --> 00:45:03,880
Speaker 2: never went back to the octopus. Unbelievable.

775
00:45:05,360 --> 00:45:07,080
Speaker 3: I thought maybe there was gonna it was gonna be

776
00:45:07,160 --> 00:45:10,120
Speaker 3: real octopus heavy at the end, and it wasn't.

777
00:45:10,920 --> 00:45:13,360
Speaker 2: The octopus was the friends that they made all along

778
00:45:13,440 --> 00:45:16,400
Speaker 2: with their long lost dead. All right, so we got

779
00:45:16,440 --> 00:45:20,440
Speaker 2: an animal story the United States Department of Agriculture and again,

780
00:45:20,560 --> 00:45:23,600
Speaker 2: like this is does this still exists? We still have that? Right?

781
00:45:23,800 --> 00:45:26,440
Speaker 2: Like I feel like all of these stories are like

782
00:45:26,520 --> 00:45:30,400
Speaker 2: it should be understood within the context of all of

783
00:45:30,440 --> 00:45:36,560
Speaker 2: these organizations are being fucking gudded. These maybe the death

784
00:45:36,600 --> 00:45:40,040
Speaker 2: throes of a dying like somebody who's been gut shot

785
00:45:40,160 --> 00:45:43,799
Speaker 2: and is like bleeding, Abut tell my tell my mother,

786
00:45:43,840 --> 00:45:46,120
Speaker 2: I love her. I'm sorry.

787
00:45:46,560 --> 00:45:50,480
Speaker 6: They're trying the remnants of and the remnants of the

788
00:45:50,560 --> 00:45:55,400
Speaker 6: United States Department of Agriculture is using different recorded noises

789
00:45:55,480 --> 00:45:59,360
Speaker 6: to scare wolves off from killing cattle and other livestock

790
00:45:59,400 --> 00:46:01,320
Speaker 6: on farms across the US.

791
00:46:01,640 --> 00:46:05,680
Speaker 2: So just it is on brand for this administration in

792
00:46:05,719 --> 00:46:10,480
Speaker 2: that like they're marshaling their resources to protect steak, to

793
00:46:10,560 --> 00:46:14,719
Speaker 2: protect like meat and cows. But anyways, so they're sending

794
00:46:15,080 --> 00:46:19,520
Speaker 2: loud speakers out, you know, on drones, and you know,

795
00:46:19,680 --> 00:46:27,239
Speaker 2: are just various things broadcasting sounds like fireworks, gunshots, ac

796
00:46:27,440 --> 00:46:33,200
Speaker 2: DC's Thunderstruck and the fight scene between Scarlett Johansson and

797
00:46:33,280 --> 00:46:35,560
Speaker 2: Adam Driver from the movie Marriage Story.

798
00:46:36,040 --> 00:46:40,000
Speaker 3: I mean, it does make you cringe real bad that

799
00:46:40,000 --> 00:46:40,560
Speaker 3: that scene.

800
00:46:41,120 --> 00:46:45,040
Speaker 2: You are like, oh my god, I think the wolves

801
00:46:45,040 --> 00:46:47,680
Speaker 2: are liberals, Like why are they playing all these noises?

802
00:46:50,480 --> 00:46:52,560
Speaker 3: That scene didn't make your palm sweaty.

803
00:46:52,680 --> 00:46:57,239
Speaker 2: Made my knees weak. Spaghetti, Mom, spaghetti was on my

804
00:46:57,400 --> 00:47:00,319
Speaker 2: spaghetti sweater after that one. I will say that you

805
00:47:00,400 --> 00:47:05,760
Speaker 2: also had that for breakfast today. Mom. The USDA District

806
00:47:05,800 --> 00:47:08,320
Speaker 2: supervisor in Oregon said of this, I need the wolves

807
00:47:08,360 --> 00:47:13,319
Speaker 2: to respond and know that, hey, humans are bad, which

808
00:47:13,360 --> 00:47:16,800
Speaker 2: is one way to look at marriage. Also the sickest

809
00:47:16,920 --> 00:47:20,600
Speaker 2: endorsement of a hard rock song of all time. That like,

810
00:47:20,800 --> 00:47:24,520
Speaker 2: they're using our ship to teach wolves that humans are

811
00:47:24,680 --> 00:47:29,440
Speaker 2: bad man like that that's how that's how evil, that's

812
00:47:29,440 --> 00:47:32,480
Speaker 2: how hardcore our ship is. Also, this song is played

813
00:47:32,520 --> 00:47:35,439
Speaker 2: on jack f M at least twice a day.

814
00:47:35,960 --> 00:47:40,560
Speaker 3: How are But this just kind of sounds like Geneva

815
00:47:40,680 --> 00:47:44,799
Speaker 3: style torture, right, Like this is like it's like what

816
00:47:44,840 --> 00:47:46,880
Speaker 3: they yeah, what they did with the Branch Davidians right

817
00:47:46,880 --> 00:47:48,799
Speaker 3: where they like blasted music at them.

818
00:47:49,080 --> 00:47:52,880
Speaker 2: Yeah, Barney music, which seems weird because the Branch Davidians,

819
00:47:52,920 --> 00:47:54,279
Speaker 2: the whole thing was that they had a bunch of

820
00:47:54,320 --> 00:47:55,320
Speaker 2: children in there.

821
00:47:55,200 --> 00:48:00,000
Speaker 3: And they were children were probably psyched for a little Yeah.

822
00:48:00,360 --> 00:48:04,560
Speaker 2: But so apparently the drones are working. In a twenty

823
00:48:04,640 --> 00:48:08,200
Speaker 2: day period without the drones, eleven cows were killed in

824
00:48:08,239 --> 00:48:11,360
Speaker 2: a specific region of Oregon by the wolves over eighty

825
00:48:11,440 --> 00:48:14,480
Speaker 2: five days. When the drones were teaching the wolves about

826
00:48:14,480 --> 00:48:18,440
Speaker 2: the difficulties of long term monogamous commitment, only two cows

827
00:48:18,480 --> 00:48:23,640
Speaker 2: were killed by wolves. However, a dozen cows killed themselves. No,

828
00:48:23,760 --> 00:48:29,439
Speaker 2: that that's a that was my j Leno punchline. Here's fun.

829
00:48:29,840 --> 00:48:31,960
Speaker 1: They were just playing the sound of mayvas giving me

830
00:48:32,000 --> 00:48:36,680
Speaker 1: the silent treatment. He mayvis is jaywe and his wife.

831
00:48:36,719 --> 00:48:38,279
Speaker 1: You know, everyone knows that. Everyone knows that.

832
00:48:39,840 --> 00:48:41,560
Speaker 3: I feel like everything in like.

833
00:48:41,680 --> 00:48:43,160
Speaker 2: Can you see everything?

834
00:48:43,200 --> 00:48:45,879
Speaker 3: Like Kevin.

835
00:48:47,440 --> 00:48:48,920
Speaker 2: You think he wakes up in the middle of the

836
00:48:49,000 --> 00:48:55,600
Speaker 2: night doing that. You heard about this, Kevin Kevin, Kevin Kevin. Sorry, Katie, Oh.

837
00:48:55,440 --> 00:48:57,560
Speaker 3: It just seems like anything that has to do with

838
00:48:57,600 --> 00:49:02,360
Speaker 3: like public health or agriculture. Sure Hastinel be through this

839
00:49:02,520 --> 00:49:06,160
Speaker 3: like hyper masculine, Like we're going to scarce.

840
00:49:05,719 --> 00:49:10,040
Speaker 2: Some wolves there by saving the stakes.

841
00:49:10,480 --> 00:49:13,000
Speaker 3: Yeah, Like, do we want to look into bird flu

842
00:49:13,160 --> 00:49:15,840
Speaker 3: vaccines that might save many more carts?

843
00:49:16,040 --> 00:49:23,800
Speaker 2: Transition, great transition, Katie. We do not, we do. RFKA Jr.

844
00:49:24,200 --> 00:49:29,239
Speaker 2: Has canceled five hundred million dollars in vaccine research. The

845
00:49:29,400 --> 00:49:33,680
Speaker 2: m RNA vaccine, one of the biggest advancements in murna

846
00:49:34,600 --> 00:49:42,520
Speaker 2: murna murna is one of the biggest advancements in modern medicine,

847
00:49:43,080 --> 00:49:46,720
Speaker 2: is getting five hundred million dollars in research funding pooled

848
00:49:46,719 --> 00:49:50,320
Speaker 2: by RFK Jr. This is following six hundred million dollars

849
00:49:50,320 --> 00:49:56,239
Speaker 2: in grants being revoked from Maderna as they were researching

850
00:49:56,400 --> 00:49:58,760
Speaker 2: vaccines for bird flu.

851
00:50:00,880 --> 00:50:04,160
Speaker 3: Yeah, I mean, but that's not cool like scaring wolves.

852
00:50:04,320 --> 00:50:08,360
Speaker 2: Right exactly, scaring wolves with pop culture stuff that you

853
00:50:08,440 --> 00:50:14,320
Speaker 2: don't like. Yeah, yeah, it's they're they're also gutting CDC

854
00:50:14,719 --> 00:50:19,279
Speaker 2: pandemic surveillance. Yeah, Which that's the thing that like that

855
00:50:19,280 --> 00:50:22,400
Speaker 2: that was the one thing that made me feel okay

856
00:50:22,600 --> 00:50:26,839
Speaker 2: after the pandemic was like reading up about how on

857
00:50:26,920 --> 00:50:29,239
Speaker 2: top of it, like the scientific community is where they're

858
00:50:29,280 --> 00:50:32,080
Speaker 2: like we know when there's like an outbreak of the

859
00:50:32,200 --> 00:50:35,200
Speaker 2: flu in another country, like we're on top of that shit.

860
00:50:35,320 --> 00:50:39,799
Speaker 2: Like we are constantly monitoring other countries healthcare systems, our

861
00:50:39,800 --> 00:50:42,240
Speaker 2: own healthcare systems to see if there's like a slight

862
00:50:42,360 --> 00:50:45,200
Speaker 2: flare up, and we will be on that shit, you know,

863
00:50:45,239 --> 00:50:47,399
Speaker 2: with nothing is going to sneak up on us.

864
00:50:47,680 --> 00:50:51,120
Speaker 3: Yeah, Like our pandemic surveillance system in the US was

865
00:50:51,160 --> 00:50:54,600
Speaker 3: like internationally renowned, like other countries are like great, this

866
00:50:54,760 --> 00:50:57,040
Speaker 3: is We're glad that you have this, and then our

867
00:50:57,480 --> 00:51:00,399
Speaker 3: surveillance can coordinate with yours because yours is really good

868
00:51:01,000 --> 00:51:06,799
Speaker 3: and just like yeah, but it's not scaring woolf so right, It's.

869
00:51:06,520 --> 00:51:09,640
Speaker 1: It's so crazy that this country just will not learn

870
00:51:09,680 --> 00:51:13,120
Speaker 1: a fucking lesson like not one lesson where it's the

871
00:51:13,200 --> 00:51:15,960
Speaker 1: same thing, where like I mean, like we were just

872
00:51:15,960 --> 00:51:18,160
Speaker 1: talking about with Katrina, or how couldn't we have learned

873
00:51:18,160 --> 00:51:20,320
Speaker 1: our fucking lesson about global warming and like how to

874
00:51:20,360 --> 00:51:21,520
Speaker 1: take precautions about that.

875
00:51:21,800 --> 00:51:22,279
Speaker 2: It's the same.

876
00:51:22,560 --> 00:51:25,480
Speaker 1: It's not like the pandemic happened in nineteen forty one.

877
00:51:25,960 --> 00:51:30,319
Speaker 1: It just it just fucking happened, and it fucked everybody up.

878
00:51:30,520 --> 00:51:34,680
Speaker 3: You know, even if pandemic, thank you, thank you.

879
00:51:34,719 --> 00:51:37,960
Speaker 1: And that's why that's why I brought it up, is

880
00:51:38,000 --> 00:51:41,399
Speaker 1: so we could actually assign the real blame. But it's

881
00:51:41,440 --> 00:51:45,080
Speaker 1: like even dumb fucking RFK with his anti vacshit, It's

882
00:51:45,120 --> 00:51:48,120
Speaker 1: like the pandemic wasn't fun for him. The guy was

883
00:51:48,160 --> 00:51:50,400
Speaker 1: still locked up in a house and like probably the

884
00:51:50,440 --> 00:51:52,839
Speaker 1: weird shit that he liked to do was closed, you know,

885
00:51:53,160 --> 00:51:55,880
Speaker 1: So like even if you are that stupid and don't

886
00:51:55,880 --> 00:51:58,879
Speaker 1: believe in these vaccines, why would you want another one

887
00:51:58,880 --> 00:52:00,279
Speaker 1: of these fucking things to happen.

888
00:52:00,360 --> 00:52:04,560
Speaker 2: It's so frustrating. Just the fact that anyone once asked

889
00:52:04,640 --> 00:52:08,880
Speaker 2: him to wear a mask anywhere like must have infuriated

890
00:52:09,000 --> 00:52:12,400
Speaker 2: him to such a degree. It was like a babysitter

891
00:52:12,440 --> 00:52:15,239
Speaker 2: telling him she wasn't attracted to him, you know, like

892
00:52:15,320 --> 00:52:19,000
Speaker 2: it was just like the first time he had the

893
00:52:19,040 --> 00:52:21,919
Speaker 2: first time he had heard like no or like been

894
00:52:21,960 --> 00:52:25,520
Speaker 2: told what to do in his life, and he like

895
00:52:25,719 --> 00:52:30,640
Speaker 2: just could not countenance it. He is not cool with

896
00:52:30,840 --> 00:52:36,440
Speaker 2: mRNA vaccines, calling it the deadliest vaccine ever made. Katie

897
00:52:36,480 --> 00:52:38,360
Speaker 2: as a woman of science, like does that does that

898
00:52:38,480 --> 00:52:38,919
Speaker 2: check out?

899
00:52:39,440 --> 00:52:39,680
Speaker 3: No?

900
00:52:40,000 --> 00:52:40,440
Speaker 2: Confirmed?

901
00:52:40,520 --> 00:52:44,880
Speaker 3: Oh no it does not. I mean it has maybe

902
00:52:44,920 --> 00:52:46,799
Speaker 3: the most people who have taken it.

903
00:52:47,360 --> 00:52:48,120
Speaker 2: Uh huh.

904
00:52:48,160 --> 00:52:52,600
Speaker 3: But uh and then you could if you really massage

905
00:52:52,680 --> 00:52:54,840
Speaker 3: the statistics, you could probably like come up with the

906
00:52:54,880 --> 00:52:58,160
Speaker 3: statistic of like there's a ton of people who after

907
00:52:58,280 --> 00:53:03,400
Speaker 3: taking the vaccine die because right, people die, because people die.

908
00:53:03,600 --> 00:53:07,280
Speaker 3: And yeah, it's not it's not the world's deadliest vaccine.

909
00:53:07,400 --> 00:53:08,680
Speaker 3: It's very safe.

910
00:53:09,040 --> 00:53:11,000
Speaker 2: I can't wait for our FK Junior to spring his

911
00:53:11,120 --> 00:53:14,160
Speaker 2: theory that that's what happened to JFK. His head just

912
00:53:14,239 --> 00:53:18,160
Speaker 2: did that after he took an mRNA, an early mRNA vaccine.

913
00:53:18,320 --> 00:53:21,799
Speaker 2: It's uh so they are, on the other hand, going

914
00:53:21,840 --> 00:53:26,840
Speaker 2: to focus on what's called good old fashioned wholesale vaccines.

915
00:53:27,360 --> 00:53:28,800
Speaker 3: There's a lot of paper make.

916
00:53:31,920 --> 00:53:37,120
Speaker 2: Uh it is like they put like they put me

917
00:53:37,320 --> 00:53:40,399
Speaker 2: in charge of the US Department of Health didn't let

918
00:53:40,400 --> 00:53:43,280
Speaker 2: me talk to a single expert and insisted I started

919
00:53:43,360 --> 00:53:47,320
Speaker 2: drinking again. Like that, because like there's always like a small,

920
00:53:47,360 --> 00:53:49,960
Speaker 2: like little nugget of logic that I'm like, I think

921
00:53:50,000 --> 00:53:52,480
Speaker 2: that would fool me if I was like, like, whole

922
00:53:52,520 --> 00:53:56,440
Speaker 2: cell that's like Whole Foods, which is a healthier version

923
00:53:56,680 --> 00:54:01,440
Speaker 2: of Kroger, So it's not marked up yet. So it

924
00:54:01,440 --> 00:54:05,319
Speaker 2: takes a whole cell vaccine for five hundred million Alex, Yeah,

925
00:54:05,440 --> 00:54:10,160
Speaker 2: because I'm dumb and like the yeah, I'm aware of

926
00:54:10,239 --> 00:54:13,360
Speaker 2: the fact that I'm dumb. Rfk Juner is Yeah, no such.

927
00:54:13,200 --> 00:54:16,600
Speaker 3: Luck on this guy, No, no, yeah, And whole cell

928
00:54:16,680 --> 00:54:22,120
Speaker 3: vaccines have more side effects than mRNA vaccine, so it's like, ah,

929
00:54:22,160 --> 00:54:24,240
Speaker 3: but we don't, you know, like, oh, we don't really

930
00:54:24,320 --> 00:54:27,000
Speaker 3: know how safe these mRNA vaccines are, but we do

931
00:54:27,120 --> 00:54:30,920
Speaker 3: know that whole cell vaccines cause a lot of problems,

932
00:54:31,000 --> 00:54:33,399
Speaker 3: which is why we're trying to move away from them,

933
00:54:33,440 --> 00:54:35,840
Speaker 3: Like we don't There was like a whooping cough whole

934
00:54:35,840 --> 00:54:39,200
Speaker 3: cell vaccine that had a lot of like really nasty

935
00:54:39,280 --> 00:54:43,160
Speaker 3: side effects and bad outcomes, and so we stopped focusing

936
00:54:43,200 --> 00:54:44,240
Speaker 3: on that because it's.

937
00:54:44,040 --> 00:54:47,760
Speaker 2: Not as good. Yeah, but it didn't you know, didn't

938
00:54:47,760 --> 00:54:54,120
Speaker 2: have nasty fetus particles in it, that's right. Discussing do

939
00:54:54,200 --> 00:55:04,080
Speaker 2: you call them fetas fetus, Yeah, it's poor fetusas fetas

940
00:55:01,040 --> 00:55:09,239
Speaker 2: Petus is the plural of like fida, like like Peter's

941
00:55:09,520 --> 00:55:14,200
Speaker 2: is the plural of peta PETA's bread Peter's. But I

942
00:55:14,200 --> 00:55:18,160
Speaker 2: would imagine that's about right. Also, I did just want

943
00:55:18,200 --> 00:55:20,040
Speaker 2: to talk because this is a related story that you

944
00:55:20,080 --> 00:55:26,240
Speaker 2: also submitted, Katie. Also in the RFK maha Maha, Maha

945
00:55:26,320 --> 00:55:29,640
Speaker 2: maha is how it's pronounced the sound of a dumb

946
00:55:29,680 --> 00:55:37,879
Speaker 2: person coming to a conclusion. Maha is that people are

947
00:55:39,280 --> 00:55:44,080
Speaker 2: getting E coli from drinking raw milk. Yeah, six kids

948
00:55:44,160 --> 00:55:48,120
Speaker 2: under ten years old, children particularly vulnerable do the risk

949
00:55:48,160 --> 00:55:51,000
Speaker 2: of kidney failure and do to the risk of having

950
00:55:51,120 --> 00:55:55,480
Speaker 2: RFK Junor as the head of doctors in our country.

951
00:55:55,840 --> 00:55:58,279
Speaker 2: And I think and his whole thing is like the

952
00:55:58,320 --> 00:56:00,960
Speaker 2: only way to like protect our chick children is to

953
00:56:01,480 --> 00:56:07,360
Speaker 2: feed them dirt from the ground and grass. Yeah, so

954
00:56:08,120 --> 00:56:12,480
Speaker 2: he's he's a big fan of raw milk. At the

955
00:56:12,600 --> 00:56:16,680
Speaker 2: at the twenty twenty two Children's Health Defense Conference. Damn,

956
00:56:16,719 --> 00:56:19,520
Speaker 2: that sounds sounds like they really want to protect children.

957
00:56:19,680 --> 00:56:20,680
Speaker 2: That sounds so good.

958
00:56:21,640 --> 00:56:23,920
Speaker 1: That is a part that that's a taking place in Indianapolis,

959
00:56:23,960 --> 00:56:26,399
Speaker 1: by the way, so you can check that out, like you.

960
00:56:26,320 --> 00:56:31,120
Speaker 3: Want your buildings built by someone named Bill le Measure exactly.

961
00:56:31,200 --> 00:56:35,200
Speaker 2: I don't know. Give that guy the job. He seems like, Oh,

962
00:56:35,200 --> 00:56:37,880
Speaker 2: I'm sorry that was an anti vaccine advocacy group he

963
00:56:37,960 --> 00:56:40,960
Speaker 2: sat on stage. Since I was here last year, I

964
00:56:40,960 --> 00:56:44,840
Speaker 2: only drank raw milk. Now I look look at me.

965
00:56:45,000 --> 00:56:49,080
Speaker 2: My eyes are turning yellow and I look weird. It

966
00:56:49,160 --> 00:56:55,040
Speaker 2: looks like I've had my personality completely, my humanity removed

967
00:56:55,080 --> 00:56:58,040
Speaker 2: from me. I have no light behind my eyes anymore.

968
00:56:58,080 --> 00:57:01,200
Speaker 2: Isn't that a sign that things are going well? Uh? Anyways,

969
00:57:01,400 --> 00:57:04,719
Speaker 2: so I did not realize it. Because I did not,

970
00:57:05,360 --> 00:57:08,839
Speaker 2: I kind of my bullshit detector, and it's a it's

971
00:57:08,840 --> 00:57:12,000
Speaker 2: a very finely tuned machine that you started going off

972
00:57:12,560 --> 00:57:15,320
Speaker 2: around the raw milk thing based mainly on the people

973
00:57:15,360 --> 00:57:19,600
Speaker 2: who were advocating it seeming to be mainly like anti vaxers.

974
00:57:19,800 --> 00:57:23,160
Speaker 2: So I didn't like look that much into it. The

975
00:57:23,240 --> 00:57:26,479
Speaker 2: thing that they're worried about is pasteurized milk, And Katie,

976
00:57:26,520 --> 00:57:29,280
Speaker 2: can you explain what pasteurized milk is?

977
00:57:29,320 --> 00:57:32,800
Speaker 3: It makes the milk caught, make milk caught, and then

978
00:57:34,120 --> 00:57:41,280
Speaker 3: they make make.

979
00:57:38,720 --> 00:57:40,360
Speaker 2: Without the silly voice, I would have just said it

980
00:57:40,400 --> 00:57:41,280
Speaker 2: make milk.

981
00:57:42,800 --> 00:57:46,800
Speaker 3: It sounds it sounds really fancy, right. Pasteurization named after.

982
00:57:48,480 --> 00:57:50,960
Speaker 2: It's just.

983
00:57:53,320 --> 00:57:56,440
Speaker 3: It's like it's like, oh, I'm going to pasteurize this

984
00:57:56,600 --> 00:57:58,720
Speaker 3: meat now, and you put it on the grill like

985
00:57:58,760 --> 00:58:01,920
Speaker 3: that's it. It's just he the milk up and then

986
00:58:02,640 --> 00:58:05,520
Speaker 3: rapidly cooling it. But it's that's it. You just like

987
00:58:05,760 --> 00:58:07,680
Speaker 3: kind of it's not even I don't even think it's

988
00:58:07,720 --> 00:58:11,520
Speaker 3: quite boiling. It's like under one hundred degrees celsius. So

989
00:58:11,600 --> 00:58:12,880
Speaker 3: it's just like heating the milk up.

990
00:58:14,480 --> 00:58:16,760
Speaker 2: We just need to call it freedom clean. This milk

991
00:58:16,760 --> 00:58:21,000
Speaker 2: has been freedom cleaned. Yeah. Yeah, so that's the thing

992
00:58:21,000 --> 00:58:24,600
Speaker 2: that they object to. They're like, instead, don't clean the milk.

993
00:58:24,680 --> 00:58:28,840
Speaker 2: Don't do the thing that, yeah, we know protects things,

994
00:58:28,840 --> 00:58:31,360
Speaker 2: and like is the reason that we like is the

995
00:58:31,440 --> 00:58:34,960
Speaker 2: logic behind ninety percent of food safety is like temperature

996
00:58:35,160 --> 00:58:38,600
Speaker 2: and like, you know, boil it and talk about next.

997
00:58:38,640 --> 00:58:40,280
Speaker 3: They're going to say we should be eating raw meat.

998
00:58:40,360 --> 00:58:46,880
Speaker 2: But they, however, doing that, how did we get here? How? What? Why?

999
00:58:47,040 --> 00:58:51,880
Speaker 2: What the fuck is happening anyways, all right. Always great

1000
00:58:51,920 --> 00:58:55,480
Speaker 2: to have a woman of science, a woman from outside

1001
00:58:55,480 --> 00:58:58,200
Speaker 2: these United living outside these United States, to come on

1002
00:58:58,720 --> 00:59:02,360
Speaker 2: as our expert witness, to just check in and be like, hey,

1003
00:59:02,400 --> 00:59:05,440
Speaker 2: things are going well, and thank you for Based on

1004
00:59:05,480 --> 00:59:08,960
Speaker 2: what I'm hearing, Yeah, sounds sounds like we're in tiptop shape.

1005
00:59:09,040 --> 00:59:10,240
Speaker 3: You're doing great, guys.

1006
00:59:10,760 --> 00:59:14,080
Speaker 1: Thank you, nice, nice try, and You're welcome back anytime.

1007
00:59:14,160 --> 00:59:16,760
Speaker 1: But I've got to hustle guarantee you'll make it back

1008
00:59:16,760 --> 00:59:17,440
Speaker 1: to your country.

1009
00:59:17,880 --> 00:59:21,560
Speaker 3: Yeah, I'm a little I'm slightly concerned.

1010
00:59:21,720 --> 00:59:25,320
Speaker 2: Where can people find you? Follow you all that good stuff.

1011
00:59:25,800 --> 00:59:30,040
Speaker 3: So, yeah, I have a podcast on this here network

1012
00:59:30,080 --> 00:59:33,600
Speaker 3: called Creature Feature or I talk about animals being mean

1013
00:59:33,640 --> 00:59:38,920
Speaker 3: to wolves, you know, just the animal behavior. It turns out,

1014
00:59:39,200 --> 00:59:43,320
Speaker 3: you know, sometimes animals is the real people. And I'm

1015
00:59:43,360 --> 00:59:48,520
Speaker 3: also on Secretly Incredibly Fascinating a podcast with Alex Schmidt,

1016
00:59:48,880 --> 00:59:55,280
Speaker 3: world's most golden retriever human and he teaches.

1017
00:59:54,880 --> 01:00:00,000
Speaker 2: Me about kindness of a golden retriever and the mind

1018
01:00:00,440 --> 01:00:03,760
Speaker 2: of a smart octopus that solves mysteries.

1019
01:00:03,880 --> 01:00:07,720
Speaker 3: Yes, exactly, it's the Killer Combo. Yeah, he teaches me

1020
01:00:07,760 --> 01:00:10,240
Speaker 3: about something he every week. He's like let's learn about

1021
01:00:10,240 --> 01:00:12,560
Speaker 3: this thing like cathod ray tubes. I'm like, Alex, that

1022
01:00:12,640 --> 01:00:15,640
Speaker 3: sounds boring. Not gonna lie to you, that sounds boring.

1023
01:00:15,800 --> 01:00:18,040
Speaker 3: And then he blows my mind. It's not boring at all.

1024
01:00:18,080 --> 01:00:22,440
Speaker 3: It's actually really interesting. And I write for some more news.

1025
01:00:23,280 --> 01:00:25,760
Speaker 3: There's a bunch of us. Actually it's not just me,

1026
01:00:26,200 --> 01:00:29,000
Speaker 3: a bunch of writers, people working on it. Cody getting

1027
01:00:29,040 --> 01:00:34,040
Speaker 3: on there, losing his mind frequently talking about Americ politics.

1028
01:00:34,320 --> 01:00:36,520
Speaker 3: Uh so, yeah, I would check all those things out.

1029
01:00:36,880 --> 01:00:42,560
Speaker 3: Not really doing social media. It seemed like social media died,

1030
01:00:42,800 --> 01:00:45,520
Speaker 3: so I kind of stopped bothering with it. You can

1031
01:00:45,600 --> 01:00:49,480
Speaker 3: check out old stuff I've written on pro bird rights

1032
01:00:50,400 --> 01:00:52,919
Speaker 3: back when it used to be Twitter and I used

1033
01:00:52,960 --> 01:00:53,800
Speaker 3: to have hope.

1034
01:00:55,200 --> 01:00:58,960
Speaker 2: It is one of my favorite Twitter twitters. O Katie,

1035
01:00:59,000 --> 01:01:01,000
Speaker 2: that's one of my favorite twitters of all times.

1036
01:01:01,280 --> 01:01:02,000
Speaker 5: Good Twitter.

1037
01:01:02,520 --> 01:01:08,880
Speaker 2: That's that's a good Twitter. Twitter stock. Why to get

1038
01:01:08,880 --> 01:01:17,640
Speaker 2: eugenics all of a sudden? Stock? What Twitter? Our bird

1039
01:01:17,760 --> 01:01:18,560
Speaker 2: rights activist?

1040
01:01:20,520 --> 01:01:20,760
Speaker 3: God?

1041
01:01:21,560 --> 01:01:25,280
Speaker 2: Is there a work of MEI that you've been enjoying? Yeah?

1042
01:01:25,320 --> 01:01:27,840
Speaker 3: So, I mean this was a This is actually a

1043
01:01:27,880 --> 01:01:31,120
Speaker 3: tweet from like twenty nineteen that I saw pop up

1044
01:01:31,280 --> 01:01:34,520
Speaker 3: on Reddit of all places who would have guessed, But

1045
01:01:34,680 --> 01:01:40,200
Speaker 3: it's this this woman meets IM. Sure I'm not pronouncing

1046
01:01:40,240 --> 01:01:45,040
Speaker 3: that right, but it's meets at the Sierra and she's

1047
01:01:45,080 --> 01:01:49,520
Speaker 3: responding to a The Straits Times article that says your

1048
01:01:49,520 --> 01:01:53,040
Speaker 3: bowl of rice is hurting the climate too, and she responds,

1049
01:01:53,080 --> 01:01:54,000
Speaker 3: should I just die?

1050
01:01:55,680 --> 01:01:57,600
Speaker 2: That helps?

1051
01:01:58,720 --> 01:02:01,120
Speaker 3: I really love it because I feel like a lot

1052
01:02:01,120 --> 01:02:04,360
Speaker 3: of articles are like this minor thing you're doing that

1053
01:02:04,520 --> 01:02:07,200
Speaker 3: is very human, like you eat rice, you have a

1054
01:02:07,280 --> 01:02:12,080
Speaker 3: dog that's also hurting the climate. And I get the

1055
01:02:12,160 --> 01:02:15,440
Speaker 3: sense that there's like it's probably just to get clicks,

1056
01:02:15,520 --> 01:02:17,400
Speaker 3: that's always what it is. But it's almost like it

1057
01:02:17,440 --> 01:02:20,400
Speaker 3: feels like there is a concerted si off to depress

1058
01:02:20,440 --> 01:02:23,440
Speaker 3: people so much we stop caring about climate change. It's

1059
01:02:23,480 --> 01:02:26,600
Speaker 3: like I put on socks and that makes climate change.

1060
01:02:26,680 --> 01:02:29,120
Speaker 3: What the What the fuck else am I supposed to do?

1061
01:02:29,680 --> 01:02:33,960
Speaker 2: Yeah, it's mainly it's mainly a handful of corporations and billionaires.

1062
01:02:34,000 --> 01:02:40,280
Speaker 2: We can, I think, just chill out rice while planning

1063
01:02:40,280 --> 01:02:44,200
Speaker 2: the revolution. That's yeah, you're fine. It's their fault, it

1064
01:02:44,280 --> 01:02:47,560
Speaker 2: truly is. We should We should start naming hurricanes and

1065
01:02:47,600 --> 01:02:52,240
Speaker 2: like stadiums and stuff after these fuckers. Honestly, I feel

1066
01:02:52,240 --> 01:02:55,680
Speaker 2: like that that would be a really helpful campaign when

1067
01:02:55,880 --> 01:02:59,720
Speaker 2: when we when this is all over, the hypothetical that

1068
01:02:59,760 --> 01:03:01,560
Speaker 2: I like to think about that is never going to

1069
01:03:01,600 --> 01:03:03,800
Speaker 2: come true, I do. I think that's one of the

1070
01:03:03,800 --> 01:03:04,640
Speaker 2: first things we should be.

1071
01:03:04,640 --> 01:03:09,840
Speaker 3: Doing so many hurricanes and climate change because there would

1072
01:03:09,840 --> 01:03:11,280
Speaker 3: be more hurricanes.

1073
01:03:11,480 --> 01:03:14,280
Speaker 2: Famines and stuff like that, and then we like keep

1074
01:03:15,160 --> 01:03:19,000
Speaker 2: reporting on like famines that then cause like humanitarian crises.

1075
01:03:19,040 --> 01:03:22,840
Speaker 2: Instead of being like crime wave, we're like, this is

1076
01:03:22,880 --> 01:03:27,880
Speaker 2: also caused by the CEO of Exxon, you know, or

1077
01:03:27,920 --> 01:03:32,240
Speaker 2: whatever fucking company Exxon specifically, like the ceo who found

1078
01:03:32,240 --> 01:03:35,800
Speaker 2: out about climate change before everyone else and was like, Okay,

1079
01:03:35,840 --> 01:03:38,880
Speaker 2: how do we fix this little pr problem.

1080
01:03:40,960 --> 01:03:44,240
Speaker 3: When the scientist out of the country Blake.

1081
01:03:44,640 --> 01:03:46,520
Speaker 2: Yeah, where can people find you as their workI media

1082
01:03:46,520 --> 01:03:51,080
Speaker 2: You've been enjoying at like Wexler on all social media tomorrow.

1083
01:03:51,320 --> 01:03:53,200
Speaker 2: I did a show in Philly last week and I'm

1084
01:03:53,200 --> 01:03:55,440
Speaker 2: going to post a little clip. A lot of Zeitgang

1085
01:03:55,480 --> 01:03:57,240
Speaker 2: were there, and I did a little bit about the

1086
01:03:57,520 --> 01:03:59,800
Speaker 2: zoy Guard about.

1087
01:03:59,400 --> 01:04:02,680
Speaker 1: How I and you know, kind of siphoning off for

1088
01:04:02,880 --> 01:04:05,840
Speaker 1: like sucking away your audience when I'm when I do

1089
01:04:05,920 --> 01:04:09,040
Speaker 1: live show but I kind of got caught in between

1090
01:04:09,160 --> 01:04:12,000
Speaker 1: the phrase siphoning off and sucking away. So you can

1091
01:04:12,040 --> 01:04:16,240
Speaker 1: watch that cliff. And also I'll be the stand up.

1092
01:04:16,480 --> 01:04:18,520
Speaker 1: All my shows are in my bio on social media.

1093
01:04:18,520 --> 01:04:22,440
Speaker 1: I'm coming to Wilkes, Barry, Ashville, Arkansas and Boston coming up.

1094
01:04:22,480 --> 01:04:25,040
Speaker 1: And then work of media. I'm gonna go with a

1095
01:04:25,080 --> 01:04:28,520
Speaker 1: work of art, which was a I sent this. I

1096
01:04:28,600 --> 01:04:32,120
Speaker 1: texted this to Miles and Jack. It's a painting of

1097
01:04:32,280 --> 01:04:36,560
Speaker 1: plumpers so a just two large legs coming out of

1098
01:04:36,600 --> 01:04:42,040
Speaker 1: boxer shorts that Carson, a Zeit Gang guy, painted for

1099
01:04:42,080 --> 01:04:43,360
Speaker 1: me and gave me to one of my shows. So

1100
01:04:43,480 --> 01:04:46,760
Speaker 1: I'm gonna send that for the show. The little yeah,

1101
01:04:46,800 --> 01:04:51,120
Speaker 1: the little image. But that person's Instagram is at no

1102
01:04:51,400 --> 01:04:54,640
Speaker 1: mug no coffee on Instagram. That's Carson who did the

1103
01:04:54,880 --> 01:04:57,040
Speaker 1: plumpers art. So yeah, that's the work of art that

1104
01:04:57,080 --> 01:05:00,720
Speaker 1: I've been enjoying. Great artist baffling policy on coffee.

1105
01:05:01,160 --> 01:05:07,680
Speaker 2: No mug, no mug, sorry brother, no mug, no coffee

1106
01:05:08,040 --> 01:05:12,160
Speaker 2: right out of the cup. I have this styrofoam cup

1107
01:05:12,200 --> 01:05:17,240
Speaker 2: that is specifically made for cotton. Nope, you can read

1108
01:05:17,280 --> 01:05:20,840
Speaker 2: the sign, all right, work maybea I've been enjoying. Kiras

1109
01:05:20,800 --> 01:05:24,360
Speaker 2: Sullivan tweeted, being in a bad mood is so humiliating,

1110
01:05:24,440 --> 01:05:27,480
Speaker 2: Like why am I replying in one word answers this

1111
01:05:27,520 --> 01:05:30,240
Speaker 2: is ruining my brand as a delight to be around.

1112
01:05:30,320 --> 01:05:33,400
Speaker 2: I feel so naked without my zest for life. I

1113
01:05:33,400 --> 01:05:34,960
Speaker 2: think that's a fun way to think about.

1114
01:05:35,200 --> 01:05:35,840
Speaker 5: That's great.

1115
01:05:36,280 --> 01:05:40,560
Speaker 2: Being in a bad mood is just like, ugh, this sucks.

1116
01:05:39,920 --> 01:05:43,520
Speaker 2: I look so stupid right now. This isn't me?

1117
01:05:44,320 --> 01:05:44,720
Speaker 5: Is this is?

1118
01:05:45,000 --> 01:05:47,680
Speaker 2: This isn't me? But that is how I generally like

1119
01:05:47,760 --> 01:05:51,600
Speaker 2: to treat like when I'm moody, is to admit it

1120
01:05:51,680 --> 01:05:54,440
Speaker 2: as soon as possible and start making fun of myself

1121
01:05:54,600 --> 01:05:59,040
Speaker 2: because otherwise I just keep doubling down on it. Be like, no,

1122
01:05:59,240 --> 01:06:02,200
Speaker 2: this is just a normal way to behave I'm being normal.

1123
01:06:02,400 --> 01:06:04,960
Speaker 2: You're being like you.

1124
01:06:05,000 --> 01:06:07,800
Speaker 3: Look, I treat myself like a toddler because I go

1125
01:06:07,840 --> 01:06:10,480
Speaker 3: through I go through questions are we hung we?

1126
01:06:11,200 --> 01:06:11,400
Speaker 2: Yes?

1127
01:06:11,600 --> 01:06:14,800
Speaker 3: We are we a little sweepy?

1128
01:06:15,120 --> 01:06:15,920
Speaker 2: Is this? What is this?

1129
01:06:16,000 --> 01:06:17,280
Speaker 3: What this is? Are we sweepy?

1130
01:06:18,160 --> 01:06:22,360
Speaker 2: Sweepy? Uh? You can find me on Twitter at Jack Underscore,

1131
01:06:22,400 --> 01:06:25,240
Speaker 2: ol Brian on Blue Sky at jack Obe the Number one.

1132
01:06:25,480 --> 01:06:28,240
Speaker 2: You can find us on Twitter and Blue Sky at

1133
01:06:28,360 --> 01:06:32,520
Speaker 2: Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram. Those

1134
01:06:32,520 --> 01:06:35,200
Speaker 2: are the three places mainly that you can find us.

1135
01:06:35,400 --> 01:06:37,720
Speaker 2: You can also go to the description of this episode

1136
01:06:37,720 --> 01:06:40,919
Speaker 2: wherever you're listening to it, and underneath the little show

1137
01:06:40,960 --> 01:06:43,920
Speaker 2: description you will find the footnotes, which is where we

1138
01:06:44,000 --> 01:06:46,800
Speaker 2: link off to the information that we talked about in

1139
01:06:46,800 --> 01:06:50,240
Speaker 2: today's episode. We got a little source source links. We

1140
01:06:50,280 --> 01:06:52,320
Speaker 2: also link off to a song that we think you

1141
01:06:52,400 --> 01:06:55,520
Speaker 2: might enjoy, and Miles being out of the country, we

1142
01:06:55,560 --> 01:06:58,800
Speaker 2: do like to ask super producer Justin Connor to come in.

1143
01:06:59,120 --> 01:07:03,800
Speaker 2: Justin tell us what's something he's been listening to that

1144
01:07:03,920 --> 01:07:06,840
Speaker 2: he thinks you guys might enjoy. And Justin, could you

1145
01:07:06,960 --> 01:07:09,480
Speaker 2: recommend it in a way that's super poetic like you

1146
01:07:09,520 --> 01:07:12,280
Speaker 2: always do? Uh yeah, sure, I can do my best.

1147
01:07:12,520 --> 01:07:14,800
Speaker 7: This song was released a few weeks ago and it

1148
01:07:14,920 --> 01:07:17,360
Speaker 7: already feels like a classic to me. It has a

1149
01:07:17,560 --> 01:07:21,160
Speaker 7: late nineties early two thousand's R and B vibe. The

1150
01:07:21,160 --> 01:07:25,360
Speaker 7: instrumental arrangement really amplifies the powerful vocals.

1151
01:07:24,840 --> 01:07:26,080
Speaker 2: Of this amazing singer.

1152
01:07:26,160 --> 01:07:28,560
Speaker 7: And if you want to feel warm and loved, I

1153
01:07:28,640 --> 01:07:31,000
Speaker 7: highly suggest putting this one on for a few moments.

1154
01:07:31,320 --> 01:07:34,160
Speaker 7: This is to love and be Loved by Annie Tracy

1155
01:07:34,240 --> 01:07:35,720
Speaker 7: and you can find that in the footnotes.

1156
01:07:35,880 --> 01:07:40,800
Speaker 2: Footnotes always poem. I never noticed that before, but I've

1157
01:07:40,840 --> 01:07:41,640
Speaker 2: always like word.

1158
01:07:41,720 --> 01:07:44,760
Speaker 1: It just felt calm listening to Justin's speak, and it

1159
01:07:44,840 --> 01:07:45,800
Speaker 1: is always very poetic.

1160
01:07:46,000 --> 01:07:49,400
Speaker 2: Frank Well, yeah, tranquil. Yes. What if pitchfork was written

1161
01:07:49,480 --> 01:07:53,080
Speaker 2: by somebody with a good heart instead of an ice

1162
01:07:53,200 --> 01:07:55,960
Speaker 2: cold one, It's just horrid. What if it was written

1163
01:07:56,000 --> 01:07:59,880
Speaker 2: by somebody who likes music? It's a good pitch anyways.

1164
01:08:00,480 --> 01:08:02,760
Speaker 2: The Daily Zekei is the production of iHeartRadio. For more

1165
01:08:02,800 --> 01:08:06,840
Speaker 2: podcasts from iHeartRadio, you can visit the iHeartRadio app, Apple

1166
01:08:06,880 --> 01:08:08,680
Speaker 2: podcast or wherever you listen to your favorite shows. That's

1167
01:08:08,680 --> 01:08:10,760
Speaker 2: going to do it for us this morning. We're back

1168
01:08:11,040 --> 01:08:13,680
Speaker 2: this afternoon to tell you what's trending, and we will

1169
01:08:13,720 --> 01:08:15,720
Speaker 2: talk to you all then, Bye bye bye.

1170
01:08:16,160 --> 01:08:19,160
Speaker 3: The Daily zeit Geist is executive produced by Catherine Long.

1171
01:08:19,280 --> 01:08:23,240
Speaker 2: Co produced by Bee Wang, co produced by Victor Wright,

1172
01:08:23,640 --> 01:08:27,599
Speaker 2: co written by j M mcnapp, Edited and engineered by

1173
01:08:27,800 --> 01:08:28,400
Speaker 2: Justin Connor.