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Speaker 1: Hello the Internet, and welcome to season thirty one, episode

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Speaker 1: three of That Daily Night Guys. For May sixteen, two

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Speaker 1: thousand eighteen, my name was Jack O'Brien, a K Jack

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Speaker 1: station without representation. That is courtesy of Salt Davies at

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Speaker 1: Salt the Kid and also a courtesy of Washington d

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Speaker 1: C of Puerto Rico, and I am thrilled to be

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Speaker 1: joined as always by my co host, Mr Miles Gray.

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Speaker 1: Miles Gray, you can't that is by their knees. It's

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Speaker 1: like gang coming back to him. Me do it, Miles Gray,

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Speaker 1: Miles Gray say, goes Zi ganging and Chuck very thankful

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Speaker 1: so much with the vacuum vocals. Jackobran Jack O'Brien, that

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Speaker 1: was a self made a gay today I've been going

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Speaker 1: through and you know, I just was feeling some mush here,

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Speaker 1: so thank you to me. I will have myself in

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Speaker 1: the back. Thank you. At Great A little like JT

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Speaker 1: things on there a little bit, yeah uh. And we

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Speaker 1: are thrilled to be joined in our third seat just

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Speaker 1: by one of the great She is one of the

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Speaker 1: funniest performers at u c B and just a funny comedian,

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Speaker 1: one of the great Texans. One of the great Texans ever,

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Speaker 1: she is Lacey Moseley. What's up? Hey, what's up? What's

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Speaker 1: Lacey Moseley? Okay, pauls all just what I go by

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Speaker 1: sometimes social change your pronouns and oh no, no no,

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Speaker 1: I just like scams all right, okay, okay, that's why. Yeah.

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Speaker 1: When we had lunch, you hit me with that Venmo

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Speaker 1: from that Venmo account. I was like, you're like, yeah,

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Speaker 1: charge Paul, Yeah, okay, Hey, do what you gotta do, Hey,

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Speaker 1: social security number? What is? What's something from your search history, Lacy?

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Speaker 1: That is revealing about who you are or not? Just

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Speaker 1: something from your searches. So something from my search history? Um,

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Speaker 1: I just looked this up is a home depot mirror glass?

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Speaker 1: Okay okay, so um. Recently Solange had took some real

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Speaker 1: fire selfies with some glass. So it was like she

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Speaker 1: held the glass up and then she had her phone

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Speaker 1: and so it was taking a picture of her face

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Speaker 1: and the reflection behind her was like this beautiful like

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Speaker 1: foliage and ship oh yeah yeah yeah. Then she had

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Speaker 1: some like rtcass table set up in front, and it

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Speaker 1: was because then you could get too selfies in one

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Speaker 1: kind of like two environments. It was real fly. I

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Speaker 1: was like, I gotta go to Home Deep and get

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Speaker 1: some glass. The game is being stepped up, you know,

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Speaker 1: I gotta I gotta make strong more part of it

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Speaker 1: White Home Deeper. You're just like, I think that's where

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Speaker 1: I can get some mirrord glass. I mean, you don't

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Speaker 1: want the glass like a Solange's glass was like artsy

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Speaker 1: and smoothed on the side. You don't want like a

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Speaker 1: handheld mirror. Well, right, right, right, were gonna do what

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Speaker 1: you gotta do it right. I'm having a hard time

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Speaker 1: envisioning this. Oh you are, hold on. I got a

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Speaker 1: screenshot like that at that fire. Oh she doing it everywhere.

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Speaker 1: You see the one with the boat and it was

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Speaker 1: just like handheld lay you got yours about to be?

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Speaker 1: Oh God, how do I get a boat? How do

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Speaker 1: I go to Italy? Listen? Because I'm always trying to

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Speaker 1: you know, people people like to judge. People take selfies like, oh,

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Speaker 1: people take selfies and lonely and not. Oh. Sometimes people

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Speaker 1: just are narcissist. Okay. It's the difference between being a

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Speaker 1: narcissist and being um, your favorite thing to think about,

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Speaker 1: that's right, a narcissist and falling in love with your reflection.

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Speaker 1: You know what I mean. Sometimes you are just a

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Speaker 1: great photographer whose favorite subject yourself. You see yourself in

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Speaker 1: the puddle or shadow pool and you diving try and

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Speaker 1: catch it. Follow Lacy on Instagram. She's a great follow.

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Speaker 1: Oh yeah, oh my god. The stories are content. Your

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Speaker 1: stories could be a show if anybody's out there, you know,

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Speaker 1: developing a show. Watch lazy stories for real, Lacey. What's

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Speaker 1: something that's overrated? Oh? Okay, makeup? And this is weird

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Speaker 1: because y'all know I love makeup. You were just I

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Speaker 1: was near face. I was I put out makeup to

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Speaker 1: be on the radio. I sound better this way, Donna.

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Speaker 1: Nonna agreed, tweet me tell me that something better I

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Speaker 1: not do with the makeup on um. But just because

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Speaker 1: lately everybody's coming out with a pallette. J Logan a pallet,

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Speaker 1: got thirty five pallets, and I'm like, took the little

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Speaker 1: girls out there listening to the data set for nine

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Speaker 1: year old girls out there about doing fourth grade. There

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Speaker 1: is makeup that will change your life, and no it

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Speaker 1: is not found as CBS. I will say that there

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Speaker 1: is some stuff that can really blow you up and

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Speaker 1: get you to the next level. However, every cream stick

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Speaker 1: and contour stick ain't about to make you look off

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Speaker 1: flicking happy. Y'all don't know how to use that ship anyway,

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Speaker 1: so you'll just be out here looking at crazy. What

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Speaker 1: you need to do is send away to Lacey Mosley's

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Speaker 1: Makeup tips. Yeah, the make up, your social security cash,

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Speaker 1: cash at me, your social security number, and I'm gonna

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Speaker 1: get y'all some makeup there work for y'all. Shade you

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Speaker 1: tell these young women the makeup you were looking for

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Speaker 1: cannot be found at CPS. But between the front and

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Speaker 1: back pages of Ian La van Zan's book Tapping the

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Speaker 1: Power with Him, that's where you were going. I don't

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Speaker 1: know why. If it was anybody else, I would have

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Speaker 1: expected there to be like and that makeup is a

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Speaker 1: better opinion of yourself. But it being you, I knew

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Speaker 1: you were just gonna be like. But it's really expensive,

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Speaker 1: So y'all, y'all beat youll spaces if y'all want some.

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Speaker 1: I'm just saying you don't have to buy everything out there.

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Speaker 1: But I actually really look up to y'all, La, because

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Speaker 1: when I get old, I'm gonna just use my old

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Speaker 1: black lady crib to say crazy ship too, because y'all

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Speaker 1: said nothing wise or deep to nobody. If I saw

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Speaker 1: on this on Joe mckaill show where she was making

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Speaker 1: somebody wrap their lyrics to pictures of Harriet, that was

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Speaker 1: Hazel Hazily, you're right. She's like, tell me you're proud

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Speaker 1: of these lyrics and spit them at Rosa Parks, rose up,

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Speaker 1: get money, clap my butt, clap. But just look at

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Speaker 1: the Caroline to Harriet Tubmans like free to slay. It

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Speaker 1: was crazy. Yeah, it was insane, but you know, for

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Speaker 1: good gesture, I'm gonna get some implants. I'm gonna get

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Speaker 1: some larger titties because you gotta when you're old black lady,

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Speaker 1: you gotta have big titties for people to cry, all right,

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Speaker 1: right right, yeah come here, child, Yeah that's it, and child,

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Speaker 1: call your child. You are now just chat hot mess. Also,

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Speaker 1: for people who don't know, when I said beat your face,

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Speaker 1: I'm not talking about punching somebody in the face, because

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Speaker 1: I had this conversation with a person who did not

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Speaker 1: understand the vernacular that means to put makeup on, you know,

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Speaker 1: get your beat on. You know, if you watch a

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Speaker 1: drag queens, you know what that is. But I'm not

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Speaker 1: saying to assault your face, but your beat on I

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Speaker 1: appreciate it. A good beat means you're really beating that brush,

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Speaker 1: real hard face. So yeah, he's gotta let people know

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Speaker 1: each one, teach one, la see what is something that's

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Speaker 1: under ridding? Oh the show Good Girls on NBC. They're

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Speaker 1: not sponsoring the show. I just love this show. You

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Speaker 1: very well. I'm trying to keep it on their I'm

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Speaker 1: trying to Brooklyn nine nights. I have heard of this. Yeah,

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Speaker 1: they're bank robbers. Yeah, yeah, it's basically of Mad Money

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Speaker 1: and the cast of Mad Money, but re cast for

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Speaker 1: tv UM cast of Mad Money was this Dye Key

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Speaker 1: movie would Clean the Tifa and it's like it's like

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Speaker 1: all the ladies have to rob a bank, which you know,

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Speaker 1: for one, I'm I am annoyed that lady bank robber

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Speaker 1: movies always got to be motivated by love and and

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Speaker 1: and some look key and being sick of ship, Like

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Speaker 1: why can't be just rob banks? Because they want bags

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Speaker 1: and you know, they just they want the bag. And

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Speaker 1: my mind is like, why can't be thus bugs? They

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Speaker 1: want the bag? Now, every movie you see where a

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Speaker 1: woman is robbing the bank she first has to have

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Speaker 1: like her life file apart her kids gotta be crippled, Like,

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Speaker 1: can't she just want money? Man? She's like, wait an

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Speaker 1: birken bag coss what you never see minute movies like,

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Speaker 1: oh man, yeah, I gotta take care of my grandma.

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Speaker 1: That's not how Ocean's Levin starts like to get his

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Speaker 1: wife back. But it's a cute TV show. You can

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Speaker 1: actually binge it on Hulu, and I just don't want

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Speaker 1: it to get canceled because it's very Do you like

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Speaker 1: it because you there's you have an affinity with the

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Speaker 1: scam life that it's sort of I've gotten tips and

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Speaker 1: tricks from that show for Yeah, you know, you'd be

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Speaker 1: surprised how much stuff you can still get away with

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Speaker 1: if you just act confidently. But the show has not

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Speaker 1: been canceled. No, I'm pretty sure Gary renew but I

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Speaker 1: just want to make sure he stays on the air.

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Speaker 1: Y'all tune in, okay, because it's good and nobody's talking

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Speaker 1: about is the pilot good? The pilot was good. It's cute,

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Speaker 1: it's very cute. I forget who it was. I think

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Speaker 1: it was Danny who came on and said to watch

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Speaker 1: Ship's Creek with Euen. Now watch this creek. I ned

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Speaker 1: just start watching us stuff on pop. I absolutely watch

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Speaker 1: this creek. I didn't know January. I can't talk about it,

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Speaker 1: but watch that. Watch that. But to say, yes, I

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Speaker 1: want to watch this creek. But the pilot was losing

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Speaker 1: me a little bit. But I'm gonna doore. I'm gonna

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Speaker 1: get through it because I'm looking at Mad Money the movie,

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Speaker 1: because Mad Money, to me is that Jim Kramer show

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Speaker 1: where he's like bye by Yeah, so apparently there was

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Speaker 1: a movie that he stole his show's name from. Uh

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Speaker 1: and the cover is just the most dated two thousand

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Speaker 1: and eight thing because it's got Queen Latifa and Katie

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Speaker 1: Holmes and they're like holding money. And I just can't

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Speaker 1: buy Katie Holmes as like this person who's like, I

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Speaker 1: don't know, she will just always be enough all of

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Speaker 1: her life. Right. This was way better than Dawston. She

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Speaker 1: was random in this movie. Was like, Kate Date, what

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Speaker 1: are you doing here? Oh? Yes, very date? By that yeah,

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Speaker 1: it looks like she's confused by holding money. She's like,

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Speaker 1: just got a handful of cash and she's like money

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Speaker 1: for all we know. That was a steel from her

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Speaker 1: real life she seyn lead Tom Cruise. She was like

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Speaker 1: enough yet um so good girls on NBC and Pop

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Speaker 1: Pop TV. Is that the name of the chain? Oh,

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Speaker 1: this is starting to make sense because I was watching

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Speaker 1: her stories and she was alluding to certain things. Interesting. Okay, Miles,

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Speaker 1: you were saying ship's creek. You checked it out and

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Speaker 1: the pilot wasn't good but it was slow. But I

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Speaker 1: love comedy pilots. Yeah, comedy pilots are never to Yeah,

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Speaker 1: they're tough. That's why I asked if if it's it's

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Speaker 1: blit from the pilot. Is the drama that is a

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Speaker 1: gas joke? For all my water heater people out there,

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Speaker 1: it's lit from the pilot? Oh? Yes, very good, very good. Also,

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Speaker 1: anyone is that gang? If you're a plumber, please contact

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Speaker 1: me because I'm trying to attach the thing under my

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Speaker 1: sink to put an ice maker in my new refrigerator

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Speaker 1: that to go leave to get pretty soon. Thank you. Oh,

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Speaker 1: You're going to get so much feedback from dudes like

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Speaker 1: and the thing you gotta understand, man, like you gotta honestly,

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Speaker 1: I'll take that because just wait till I come in

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Speaker 1: here soaking wet tomorrow from anyway lazy? What is a myth?

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Speaker 1: What's something uh that people think is true that you

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Speaker 1: know to be false? Uh, you can't catch up on sleep?

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Speaker 1: I know it's and technically, I guess if you want

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Speaker 1: to be this type of human being. Apparently I was

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Speaker 1: looking at researching this further because when I was in college,

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Speaker 1: it was just like a hard fact, like you just

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Speaker 1: couldn't catch up on sleep. But apparently if you like

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Speaker 1: adding a couple of hours extra hours each night over

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Speaker 1: the course of several nights. But I was like, that's

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Speaker 1: not what people want, Like if I would stay up

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Speaker 1: like I've like I stayed up maybe like last week

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Speaker 1: until four in the morning, and now my sleep pattern

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Speaker 1: has been thrown for like a week just from that

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Speaker 1: one night. Yes, because then I like slept in the

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Speaker 1: next morning, and then I stayed up because I had

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Speaker 1: a bunch of shows and shipped all night, and so

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Speaker 1: it just continued because I ended up having so many

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Speaker 1: shows at night until now the past two days, I've

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Speaker 1: been like meditating. I go to sleep with like the

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Speaker 1: sounds of rain playing on YouTube. I have I used

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Speaker 1: to I should go to sleep with the sound machine. Uh.

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Speaker 1: In the college because I was so stressed I could

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Speaker 1: not sleep and I had to get like this NASA

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Speaker 1: approved one that had like certain brainwave frequencies to like

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Speaker 1: get have cause I have no money to give. Now,

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Speaker 1: well let me tell you. He's working coach store at

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Speaker 1: the mall. And what I did was I switched out.

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Speaker 1: I did a trade for like some Brookstone gifts because

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Speaker 1: I'm like, look, I'm gonna give you my employee discount

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Speaker 1: for this ergo back because everybody wants to. Yeah, it's

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Speaker 1: a scamp, you know, so you make money, how you

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Speaker 1: gotta get listen, I appreciate it. The podcaster Bill Simmons

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Speaker 1: Sports Guy, used to be at ESPN. Now he's the

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Speaker 1: head of the Ringer. He has this. One of his

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Speaker 1: more problematic theories is he was like, I'll tell you what,

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Speaker 1: you become twenty percent crazier if you're a woman, when

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Speaker 1: every kid you have, you become twenty percent crazier. So

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Speaker 1: what if you have six year beyond Apparently that I

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Speaker 1: really think that it's I it's I think it's no

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Speaker 1: I noticed it happening to me. I think it's like

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Speaker 1: you build up a sleep debt and you just never

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Speaker 1: recover from the sleep debt when you have a kid,

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Speaker 1: because you just don't sleep for like six months, and

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Speaker 1: then you just your mind doesn't work as well, and

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Speaker 1: then you can't make that sleep det up ever again

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Speaker 1: ever again, Really that I don't know. Well. Also like

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Speaker 1: the older you get, the less sleep you need. But

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Speaker 1: I think I don't know if your body doesn't sleep

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Speaker 1: as well. Uh So my mom always said that, She's like,

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Speaker 1: when you have a kid, you just don't sleep, You

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Speaker 1: don't sleep as well because you're worried about exactly like

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Speaker 1: my mom used car I love her, she's a queen.

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Speaker 1: But she used to like let me go out places.

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Speaker 1: And I was in the suburbs, so the only place

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Speaker 1: to really go out was like the mall. Like every

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Speaker 1: parent would just drop their kids off of them, right,

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Speaker 1: And my mom would never let me do it. But

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Speaker 1: one time I really convinced her let me go to

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Speaker 1: the mall. And then she dropped me off at the

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Speaker 1: mall and she called me five minutes later she was like,

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Speaker 1: God told me you need to come home. Like what

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Speaker 1: I had that with my did too. He would just

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Speaker 1: like get these feelings and be like, no, you can't

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Speaker 1: stay out tonight, and just feel like and then he

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Speaker 1: was usually right, it was really weird. Peah, Yeah, uh no,

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Speaker 1: but I just think I also think that it's like

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Speaker 1: because god damnit, sorry, I think it's also good again. Yeah,

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Speaker 1: he's like getting the show, go go go. No, no, no.

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Speaker 1: What I was saying about the Simmons thing is I

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Speaker 1: feel like he's the type of guy who would like

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Speaker 1: let his wife do all the like staying up parenting.

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Speaker 1: So he's like, she's crazy. He's right, exactly like Billy

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Speaker 1: going home. Dude, I don't know, fucking wife, dude. She

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Speaker 1: I'm telling you, she's getting twenty percent more crazy with

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Speaker 1: every kid. I'm gonna go back. She's be like, why

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Speaker 1: aren't you home take care of these kids, like you're

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Speaker 1: mom on the fucking dad right, let's play huh uh dog? Sorry, yeah,

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Speaker 1: a little Nate dog. I haven't heard that. I'll be

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Speaker 1: the dead child. All right. We're trying to take a

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Speaker 1: sample of the global share consciousness, what people are thinking

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Speaker 1: and talking about right now, and we wanted to open

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Speaker 1: up with a little primary. Watch primary Watch Yeah, primaries.

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Speaker 1: Some primaries happened last night. Yeah yeah, yeah, yeah, and uh,

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Speaker 1: it looks like man, Pennsylvania is turning a different shade

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Speaker 1: of red because I'm pretty sure four women were backed

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Speaker 1: by the Democratic Socialists of America won their state legislature

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Speaker 1: primaries in Pennsylvania somewhere uncontested. Uh and some against like

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Speaker 1: traditional kind of centrist Dems. But Sarah Inamorato and Summer League,

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Speaker 1: they brought the progressive ideals fucking hard. Uh. Some release especially,

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Speaker 1: she was campaigning on things like ending cash bail, fifteen

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Speaker 1: dollar an hour minimum wage, creating millionaires tax, moratorium on

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Speaker 1: prison building, renewable energy, universal free pre kindergarten, childcare, abortion

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Speaker 1: rights of free college. I mean, yes, this this woman

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Speaker 1: one on this platform. Not to mention. If Lee wins

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Speaker 1: in the general election, he could be the first black

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Speaker 1: woman elected to the state legislature from southwestern PA. So yeah,

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Speaker 1: women and progressives had a lot of wins. Not to mention.

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Speaker 1: In Nebraska. Uh, Karat Eastman, who I think was a

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Speaker 1: former local nonprofit president. She beat a former US Congressman,

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Speaker 1: Brad Ashford. Uh. And you know Eastman campaign on the

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Speaker 1: same sort of not total socialist kind of agenda. But

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Speaker 1: she was campaigning on Medicare for all, you know, decriminalizing marijuana,

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Speaker 1: ending citizens united and she narrowly beat Brad Ashford, who

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Speaker 1: was like, you know, an establishment guy, you know, like Obama,

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Speaker 1: Like he's you know, he's chilling with Obama in the past.

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Speaker 1: He's kind of the safe choice. So again, it looks

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Speaker 1: like there's a lot of energy for going left of center.

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Speaker 1: So take note, uh D triple C because that's where

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Speaker 1: the energy is. Um And yeah, and in Pennsylvania, a

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Speaker 1: couple of things too, is that the Democratic turnout was

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Speaker 1: pretty big, that cast a hundred thousand more votes than

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Speaker 1: Republicans did. And I know last week we were talking

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Speaker 1: about what was going on in the blue wave or whatever. Well,

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Speaker 1: you know, let's let's not get too excited yet, but

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Speaker 1: let's just take everything in stride, because I mean, also

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Speaker 1: to mention in Pennsylvania, there were a couple of primaries

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Speaker 1: that were just all Democratic candidates, so that could also

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Speaker 1: add to it. But nonetheless, good turnout. And also in Pennsylvania,

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Speaker 1: they still have no female members in Congress at all.

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Speaker 1: So let's try and get this change. I think it's

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Speaker 1: guaranteed that there will be at least one I think

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Speaker 1: there's at least one race in Pennsylvania that where it's

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Speaker 1: women going against each other. So uh will no longer

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Speaker 1: be all male. Um. Yeah, it seems like a situation

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Speaker 1: where going to the base, like the the Republicans went

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Speaker 1: to the base with Trump and it you know, went

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Speaker 1: against everything all conventional wisdom that you hear from people

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Speaker 1: who are experts in electoral politics. You have to go centrist,

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Speaker 1: you have to like do the triangulation Clintonian thing. Uh.

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Speaker 1: And then when they went to the base, they suddenly

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Speaker 1: just uh bucked all predictions and you know, Trump Trump

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Speaker 1: did incredibly well. And I think you're going to see

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Speaker 1: the same thing if the Democrats are willing to you know,

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Speaker 1: buck conventional wisdom and actually you know, get behind candidates

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Speaker 1: who are willing to step up and support things that

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Speaker 1: people are actually you know, the people, uh, the masses

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Speaker 1: are actually excited about. Yeah. Also in Pennsylvania, Republican lou

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Speaker 1: Barletta he won narrowly won his primary race despite spending

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Speaker 1: nearly eight times more than his more moderate opponent. Um.

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Speaker 1: He even had like the explicit endorsement of Trump. He

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Speaker 1: pretty much he underperformed pretty severely. Uh. And a lot

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Speaker 1: of the GOP sort of strategists are kind of like, well,

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Speaker 1: we don't know if we want this guy to go

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Speaker 1: up against Bob Casey in November, because lu Barletta is

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Speaker 1: like of just a problematic, obnoxious xenophobe who, like, you know,

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Speaker 1: when he was mayor of a town, was like from

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Speaker 1: criminal charges if you higher legal aliens, like English is

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Speaker 1: the official language of this town. Like, he's just kind

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Speaker 1: of on that sort of nationalistic, you know, anti immigrant stance.

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Speaker 1: So yeah, that's another thing to check out in Pennsylvania

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Speaker 1: because now they they may have a little bit of

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Speaker 1: a tough time against Bob case but we'll see. So

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Speaker 1: that Republican going to the base, uh, you know, using

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Speaker 1: xenophobia that that has not been working as well in

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Speaker 1: these primaries, not as much. And the guy he was

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Speaker 1: running against, I mean, he was pretty central in terms

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Speaker 1: of like you know, his landing page wasn't like him

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Speaker 1: wrapped up in American flags, like putting immigrants on a

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Speaker 1: bus or anything. It was just kind of like, you know,

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Speaker 1: he's about openness, transparency, accountability at all levels of government.

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Speaker 1: So it seems like he's a perfect sort of balance

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Speaker 1: to what this other guy was running for. But yeah,

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Speaker 1: I mean this guy Christianity, he only had like I

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Speaker 1: think two or fifty and this Varletta campaign. Uh, they

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Speaker 1: spent close to two million, so even with the money

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Speaker 1: you barely want. All right, let's take a quick break

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Speaker 1: and then we'll come right back. And we're back. And

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Speaker 1: the other kind of story of the moment when it

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Speaker 1: when it comes to politics, is that we're gonna have

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Speaker 1: to put that Trump Nobel Peace Prize just on hold momentarily.

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Speaker 1: I'm not saying it's not gonna happen, but there just is.

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Speaker 1: It's looking like the North Korea talks might be in

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Speaker 1: danger stalling out a little yeah, stalling out a little bit. Um.

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Speaker 1: And this is actually how I know that I'm not

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Speaker 1: a true partisan because when I heard this, I wasn't

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Speaker 1: like I'm not rooting against this like I I actually

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Speaker 1: like felt my stomach sort of turn when I was like, fuck,

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Speaker 1: they're fucking this up this morning because I don't know,

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Speaker 1: like I don't want North Korea to be holding a

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Speaker 1: nuclear weapon pointed at my family and me all the time.

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Speaker 1: So basically, North Korea is threatening to reconsider peace talks,

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Speaker 1: uh if the US and South Korea don't knockoff their

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Speaker 1: military exercises. Um, because we'd already I guess done some

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Speaker 1: naval exercise in April and apparently some other things that

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Speaker 1: are pissing them off. Kim Jong Un doesn't like the

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Speaker 1: fact that Trump is saying the meeting is straight up

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Speaker 1: about denuclearization, like he did at the you know, hostage

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Speaker 1: release celebration greeting event uh directed by Michael bay Uh

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Speaker 1: and he got out a little bit over his skis,

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Speaker 1: like you could tell that he'd already converted these North

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Speaker 1: Korea talks into like campaign talking points, and he was like, yeah,

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Speaker 1: you know, we're gonna get the nuclearization, and you know,

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Speaker 1: he totally forgot that Kim jong un was listening, because

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Speaker 1: Kim Jong Un was like, all right, man, let's not

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Speaker 1: spike the football just yet. We're we're not totally on

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Speaker 1: board with that. And around the same time, John Bolton,

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Speaker 1: our new head of literally looks like a fucking muppet, right, uh,

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Speaker 1: said Sally. The worst thing he possibly could have He said,

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Speaker 1: don't Libya. Don't exactly. He said that we're planning to

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Speaker 1: use the Libya model and conversations with North Korea, which

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Speaker 1: is basically evoking Kim Jong uns number one fear about

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Speaker 1: the talks because Libya denuclearized and you know, not too

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Speaker 1: long after that their dictator was brutally murdered in the

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Speaker 1: streets by like mobs uh so the one reason that

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Speaker 1: he has like raised, like the the idea that he

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Speaker 1: would never take his nuclear weapons off the table. Look

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Speaker 1: what happens when you do, right is look what happened

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Speaker 1: to Libya and fucking Bolton just straight up it. It's

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Speaker 1: crazy too because Kim Jong I think he took power

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Speaker 1: like the day after daf he was killed, like his

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Speaker 1: first day in the job. He's like whoa, whoa, whoa,

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Speaker 1: and yeah, like everyone was saying, don't say Libya. So

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Speaker 1: it's so easy. But again they are just so thirsty

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Speaker 1: for fucking wins. Can you wait until the ship is signed,

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Speaker 1: wait until the deal is broken? But you know, but

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Speaker 1: I think people were a little naive and anyone and

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Speaker 1: everyone right myself included, to sort of just immediately jumped

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Speaker 1: to conclusion because Trump was like, oh, he's he's really

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Speaker 1: open to do something. He's really gonna do something here.

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Speaker 1: And to know that the his his nuclear arsenal is

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Speaker 1: his only bargaining ship in this thing. So he cannot

423
00:23:25,400 --> 00:23:28,600
Speaker 1: give that up just like that without any getting anything back.

424
00:23:28,920 --> 00:23:31,840
Speaker 1: So I don't know, I mean Trump is the deal master,

425
00:23:32,040 --> 00:23:34,480
Speaker 1: so I guess we'll just wait and see. Oh wait,

426
00:23:34,600 --> 00:23:37,480
Speaker 1: he cave to China on the fucking ZTE deal, the

427
00:23:37,520 --> 00:23:41,520
Speaker 1: telecoms deal, or not the deal, but rather punishing them. Uh.

428
00:23:41,560 --> 00:23:43,919
Speaker 1: And then it's maybe who knows if Kim Jong un

429
00:23:44,040 --> 00:23:45,320
Speaker 1: is like, you know, let me see what I can

430
00:23:45,359 --> 00:23:47,639
Speaker 1: get out of this dude now too. But this follows

431
00:23:47,640 --> 00:23:49,880
Speaker 1: a pattern with North Korea being like, yeah, we're down,

432
00:23:49,880 --> 00:23:52,399
Speaker 1: We're down, We're down, We're down, and then the Hawks

433
00:23:52,400 --> 00:23:56,280
Speaker 1: breakdown her collapse. Yeah, now that I'm totally bummed out

434
00:23:56,320 --> 00:24:00,400
Speaker 1: about the prospect of them falling apart, I'm realizing I'm

435
00:24:00,440 --> 00:24:04,320
Speaker 1: becoming very pessimistic about the likeliness that they succeed because

436
00:24:04,359 --> 00:24:09,800
Speaker 1: we're basically counting on too like overly sensitive and capricious,

437
00:24:10,040 --> 00:24:15,040
Speaker 1: pathological narcissists, not to offend each other like before in

438
00:24:15,080 --> 00:24:19,240
Speaker 1: the lead up or during this meeting, and I don't know,

439
00:24:19,359 --> 00:24:21,879
Speaker 1: North Korea, it seemed like they were just like, you know,

440
00:24:22,040 --> 00:24:24,239
Speaker 1: eyes on the prize. They were focused on doing this

441
00:24:24,320 --> 00:24:29,080
Speaker 1: meeting and accomplishing whatever South Korea had convinced them to accomplish.

442
00:24:29,160 --> 00:24:32,000
Speaker 1: But now that they've sort of wobbled a little bit,

443
00:24:32,400 --> 00:24:36,080
Speaker 1: I feel much less optimistic about where this is headed.

444
00:24:36,240 --> 00:24:37,879
Speaker 1: I won't lie. I had a little bit of hope

445
00:24:38,800 --> 00:24:41,080
Speaker 1: you get too crazy together like that for all you know,

446
00:24:41,160 --> 00:24:43,600
Speaker 1: I speak the same way. You can't be saying I'm

447
00:24:43,600 --> 00:24:45,919
Speaker 1: talking to a crazy person. But if you're both crazy,

448
00:24:45,960 --> 00:24:49,959
Speaker 1: I mean, like you know, on the same page. I

449
00:24:50,000 --> 00:24:52,920
Speaker 1: just wish that everything didn't have to like I do

450
00:24:53,000 --> 00:24:55,440
Speaker 1: appreciate the government being transparent, but it's like with Trump

451
00:24:55,600 --> 00:24:57,800
Speaker 1: is like one, he's always lying to us, so it's

452
00:24:57,880 --> 00:25:02,040
Speaker 1: not transparency. It's like so just hold off. He just

453
00:25:02,080 --> 00:25:04,680
Speaker 1: likes to make it look things much better than they are.

454
00:25:05,200 --> 00:25:07,800
Speaker 1: But you know, uh, it's it's not totally dead in

455
00:25:07,840 --> 00:25:10,560
Speaker 1: the water, but it's just it's just I think what

456
00:25:10,680 --> 00:25:12,640
Speaker 1: it is just a reality check. They're like, Yo, hold

457
00:25:12,680 --> 00:25:14,520
Speaker 1: the funk up, bro, don't go being like, hey, they're

458
00:25:14,520 --> 00:25:16,800
Speaker 1: gonna fully denuclearize and we're gonna give them nothing back,

459
00:25:16,880 --> 00:25:18,800
Speaker 1: because that was their main thing, is that like if

460
00:25:18,800 --> 00:25:20,920
Speaker 1: these talks are just for you to come to Singapore

461
00:25:20,960 --> 00:25:23,199
Speaker 1: and be like, come up off your nuclear weapons and

462
00:25:23,240 --> 00:25:25,640
Speaker 1: that's it. They're like, no, we're not doing that. And

463
00:25:25,680 --> 00:25:27,640
Speaker 1: so I think, you know, obviously he's trying to set

464
00:25:27,720 --> 00:25:30,120
Speaker 1: himself up Kim Jong going to be like, Okay, we

465
00:25:30,160 --> 00:25:32,720
Speaker 1: are going to have to work on ship, have to

466
00:25:32,720 --> 00:25:36,560
Speaker 1: be concessions made for this to be a reasonable negotiation,

467
00:25:36,640 --> 00:25:41,960
Speaker 1: but you know, we'll Pompeo is dangling the idea that

468
00:25:42,200 --> 00:25:48,240
Speaker 1: once they denuclearize, American businesses will pour in and invest in, uh,

469
00:25:48,280 --> 00:25:51,840
Speaker 1: you know, North Korean infrastructure, and you know North Korea

470
00:25:52,200 --> 00:25:54,720
Speaker 1: when you look at the globe from space at night,

471
00:25:54,920 --> 00:25:57,200
Speaker 1: like all the other countries are lit up in North

472
00:25:57,280 --> 00:26:00,480
Speaker 1: Korea is just completely dark. There's a lot of structure

473
00:26:00,560 --> 00:26:02,720
Speaker 1: to add to that country and a lot of money

474
00:26:02,760 --> 00:26:05,840
Speaker 1: to be made. So Pompeo was saying that you're going

475
00:26:05,920 --> 00:26:08,680
Speaker 1: to see a lout of American businesses if we open

476
00:26:08,800 --> 00:26:11,000
Speaker 1: up trade with North Korea and if they are willing

477
00:26:11,040 --> 00:26:14,040
Speaker 1: to do nuclearize. So that's that's a bargaining chip we have,

478
00:26:14,280 --> 00:26:16,399
Speaker 1: but I mean it's also a bargaining chip that we

479
00:26:16,480 --> 00:26:20,200
Speaker 1: had with Iran. And uh, you didn't see a ton

480
00:26:20,280 --> 00:26:25,119
Speaker 1: of American business poor in there, because yeah, we did.

481
00:26:25,200 --> 00:26:28,199
Speaker 1: Definitely it seemed like who knew what was going to

482
00:26:28,240 --> 00:26:31,879
Speaker 1: happen with with the nuclear deal, And now we've shown

483
00:26:32,520 --> 00:26:35,840
Speaker 1: that we back out of those so uh, all right,

484
00:26:36,040 --> 00:26:40,280
Speaker 1: let's move on to a brief history of Airbnb and racism.

485
00:26:41,240 --> 00:26:47,760
Speaker 1: Uh So, Airbnb had an incident the other day where

486
00:26:48,280 --> 00:26:52,760
Speaker 1: the neighbor of uh four people who are renting an

487
00:26:52,800 --> 00:26:58,280
Speaker 1: airbnb for airbnb guests, uh waved to them. Uh, an

488
00:26:58,280 --> 00:27:01,520
Speaker 1: old white woman waved to them. The four people who

489
00:27:01,520 --> 00:27:05,879
Speaker 1: were renting the airbnb happened to be uh, three black

490
00:27:05,920 --> 00:27:11,359
Speaker 1: women and a white woman, and uh so their neighbor,

491
00:27:11,760 --> 00:27:15,800
Speaker 1: this elderly lady, waved to them. They didn't wave back.

492
00:27:16,200 --> 00:27:19,520
Speaker 1: We don't know why, but they didn't wave back. And

493
00:27:19,640 --> 00:27:23,200
Speaker 1: she immediately called the police and said that there were

494
00:27:23,200 --> 00:27:26,400
Speaker 1: suspicious people. As they were checking out of their airbnb,

495
00:27:26,760 --> 00:27:31,360
Speaker 1: they were greeted by seven police cars. Uh And by

496
00:27:31,400 --> 00:27:33,840
Speaker 1: the way, when she called the police, she described three

497
00:27:33,880 --> 00:27:38,320
Speaker 1: suspicious individuals, not four because the white woman. Yeah, they're

498
00:27:38,359 --> 00:27:43,359
Speaker 1: like three suspicious woman and a hostage. I think usually

499
00:27:43,480 --> 00:27:45,959
Speaker 1: usually if you have the white person I mean being black,

500
00:27:46,080 --> 00:27:53,840
Speaker 1: you know, or usually that helps make you less suspicious.

501
00:27:53,840 --> 00:27:55,800
Speaker 1: Because but the white lady probably didn't wave either that

502
00:27:55,920 --> 00:27:59,600
Speaker 1: she was like a right, that's that was a symbol

503
00:28:00,080 --> 00:28:02,640
Speaker 1: be like because I remember as a kid, like in retrospect,

504
00:28:02,680 --> 00:28:04,239
Speaker 1: and I think about the wild should I did when

505
00:28:04,280 --> 00:28:06,480
Speaker 1: I was with white kids and did it no problems,

506
00:28:06,680 --> 00:28:09,639
Speaker 1: never like when they're at least anything involved. And you

507
00:28:09,680 --> 00:28:13,040
Speaker 1: realize you think that in this situation that this person,

508
00:28:13,080 --> 00:28:16,119
Speaker 1: I don't know, this just could be my weird hindsight

509
00:28:16,160 --> 00:28:19,120
Speaker 1: of my life, but that the old lady would be like, oh, well,

510
00:28:19,359 --> 00:28:22,160
Speaker 1: there's a white woman maybe co signing for these people,

511
00:28:22,240 --> 00:28:27,000
Speaker 1: so I can suspend the three white women and one

512
00:28:27,040 --> 00:28:30,560
Speaker 1: black person should have been like, oh and the cleaning lady,

513
00:28:31,160 --> 00:28:34,119
Speaker 1: they're showing her what Rialto has to offer. Now the

514
00:28:34,200 --> 00:28:38,680
Speaker 1: home owner came back, The person whose Airbnb it was

515
00:28:39,440 --> 00:28:43,640
Speaker 1: came back and blamed them for not waving to the woman. Now,

516
00:28:44,160 --> 00:28:47,240
Speaker 1: now we don't know why they didn't wave back. Maybe

517
00:28:47,280 --> 00:28:52,880
Speaker 1: they didn't see her away. Yeah, there's also that. And

518
00:28:53,000 --> 00:28:57,040
Speaker 1: also it's just worth noting that this wave from a

519
00:28:57,080 --> 00:29:00,000
Speaker 1: white woman might not have been as friendly and neighbor

520
00:29:00,040 --> 00:29:02,360
Speaker 1: really as she might have perceived it to be. Like

521
00:29:02,400 --> 00:29:05,240
Speaker 1: she she was testing them to see if they were

522
00:29:05,360 --> 00:29:07,960
Speaker 1: like the good kind or the bad kind. And so

523
00:29:08,160 --> 00:29:13,880
Speaker 1: by way, if she looked through her and she looked

524
00:29:13,920 --> 00:29:16,719
Speaker 1: at hers and dialed, now, whine as because we know,

525
00:29:16,920 --> 00:29:18,720
Speaker 1: we know that when white people call the cops on

526
00:29:18,760 --> 00:29:21,880
Speaker 1: black people one, they don't wave, they ly in too.

527
00:29:22,120 --> 00:29:26,120
Speaker 1: They then already added several weapons to your person. Like

528
00:29:26,160 --> 00:29:28,320
Speaker 1: we just saw a man in a hoodie. He had

529
00:29:28,320 --> 00:29:30,960
Speaker 1: a knife between his teeth and two guys and his

530
00:29:31,160 --> 00:29:34,400
Speaker 1: eye patch and he was and he was walking into

531
00:29:34,440 --> 00:29:38,800
Speaker 1: the waffle house. What I don't understand, Like what do

532
00:29:39,400 --> 00:29:41,640
Speaker 1: And this is a serious question. Is there a sign

533
00:29:41,720 --> 00:29:44,120
Speaker 1: that us as people of color can give to white

534
00:29:44,160 --> 00:29:47,520
Speaker 1: people to let you know, not are we looked upon

535
00:29:47,520 --> 00:29:50,520
Speaker 1: that everybody is a criminal and thug? Can I Can

536
00:29:50,560 --> 00:29:54,520
Speaker 1: I do something like hi, I'm a human being or

537
00:29:54,640 --> 00:29:57,360
Speaker 1: I don't assume all people of any race or could

538
00:29:57,400 --> 00:30:00,320
Speaker 1: be perpetrators of violence or crime or whatever. In my theory,

539
00:30:00,360 --> 00:30:03,360
Speaker 1: the white people have sent out a new blodder. They

540
00:30:03,400 --> 00:30:04,880
Speaker 1: sent out a new flyer, and they were like, we

541
00:30:04,960 --> 00:30:08,000
Speaker 1: got a new form of oppression called the police on

542
00:30:08,080 --> 00:30:10,760
Speaker 1: black people for being asleep at their dorms in college,

543
00:30:10,880 --> 00:30:12,640
Speaker 1: for walking down the street. You know what I mean,

544
00:30:12,760 --> 00:30:15,920
Speaker 1: Chances are they'll get murdered. It happens, you know what

545
00:30:15,920 --> 00:30:17,400
Speaker 1: I mean. If you go for a jog, next thing,

546
00:30:17,440 --> 00:30:18,959
Speaker 1: you know, you got twelve one of shots in your

547
00:30:19,000 --> 00:30:22,000
Speaker 1: back because you're on your cell phone and y'a are like,

548
00:30:23,080 --> 00:30:25,240
Speaker 1: I mean, there's really nothing that we can do because

549
00:30:25,320 --> 00:30:28,000
Speaker 1: it's there's the police are here to police and control

550
00:30:28,120 --> 00:30:31,040
Speaker 1: people of color and to make sure that we don't

551
00:30:31,080 --> 00:30:33,920
Speaker 1: get too much, you know, they're here to murder us.

552
00:30:34,000 --> 00:30:36,000
Speaker 1: And so white people calling the cops like, please be

553
00:30:36,040 --> 00:30:37,800
Speaker 1: aware out there. Like when you call the cops on

554
00:30:37,880 --> 00:30:41,480
Speaker 1: someone who's suspicious, they better be suspicious. If you just

555
00:30:41,480 --> 00:30:44,200
Speaker 1: feel uncomfortable, that's not so same. You're putting someone's life

556
00:30:44,200 --> 00:30:47,640
Speaker 1: at risk and you are knowingly complete, not even just complicit.

557
00:30:47,680 --> 00:30:51,040
Speaker 1: You're involved in that person's murder like I was. You know,

558
00:30:51,040 --> 00:30:53,640
Speaker 1: it's like it's like showing your freedom papers or some ship.

559
00:30:54,040 --> 00:30:57,800
Speaker 1: That's what it is. But it's okay because black people

560
00:30:57,800 --> 00:30:59,760
Speaker 1: we sent out a newsletter to and we're gonna start

561
00:30:59,760 --> 00:31:03,040
Speaker 1: calling cops on y'all from burner phones, like, Hi, this

562
00:31:03,080 --> 00:31:05,280
Speaker 1: woman is a popeye. There's a woman out here kicking

563
00:31:05,320 --> 00:31:08,720
Speaker 1: the dog. She's kicking the dog and she's throwing away

564
00:31:08,720 --> 00:31:14,280
Speaker 1: avocado at the same time. Get out here immediately. Now.

565
00:31:14,440 --> 00:31:17,600
Speaker 1: I do wonder if it's happening more now or if

566
00:31:17,680 --> 00:31:20,920
Speaker 1: we're just noticing it more now as there are, you know,

567
00:31:21,360 --> 00:31:25,200
Speaker 1: noticing it more more social media more places that people

568
00:31:25,240 --> 00:31:28,360
Speaker 1: can report it. Um. But it also I could see

569
00:31:28,360 --> 00:31:31,080
Speaker 1: it being the fact that as we get more divided

570
00:31:31,120 --> 00:31:35,200
Speaker 1: as a country, they're just more uh you know, white

571
00:31:35,200 --> 00:31:38,600
Speaker 1: people who only encounter people of color on Fox News

572
00:31:38,760 --> 00:31:41,640
Speaker 1: when they're being when crimes are being reported, and so

573
00:31:41,720 --> 00:31:44,200
Speaker 1: maybe they're just more scared white people out there. Tell

574
00:31:44,200 --> 00:31:45,880
Speaker 1: you why people, I'm not here to harm you in

575
00:31:45,920 --> 00:31:48,080
Speaker 1: any way, Well, why y'all scared of us? With y'all

576
00:31:48,120 --> 00:31:50,520
Speaker 1: murdering us like this is a fun as narrative, y'all

577
00:31:50,560 --> 00:31:52,360
Speaker 1: set up of us being scary. Yet every time I

578
00:31:52,400 --> 00:31:55,200
Speaker 1: turn around as y'allking in us because y'all scared? Can

579
00:31:55,200 --> 00:31:58,280
Speaker 1: I be scared? I'm told I be scared of every

580
00:31:58,280 --> 00:32:01,120
Speaker 1: time I walk past the whole fools I shut or

581
00:32:01,160 --> 00:32:03,040
Speaker 1: just or like even as a man, like you know,

582
00:32:03,120 --> 00:32:04,800
Speaker 1: I have to, like you have to come off non

583
00:32:04,840 --> 00:32:08,440
Speaker 1: threatening sometimes really smile, you know, like really smile with you,

584
00:32:09,040 --> 00:32:12,680
Speaker 1: Hi man? How you doing with women? Are ye? But

585
00:32:12,720 --> 00:32:16,200
Speaker 1: even in context to like you have to the idea

586
00:32:16,280 --> 00:32:19,120
Speaker 1: of this violent black man or whatever exists. So the

587
00:32:19,160 --> 00:32:21,920
Speaker 1: only way you can disarm that without verbally addressing it

588
00:32:21,960 --> 00:32:24,480
Speaker 1: is to just appear like, oh, I'm a jovial person.

589
00:32:24,520 --> 00:32:26,560
Speaker 1: I'm nice and that's kind of you know. I was

590
00:32:26,600 --> 00:32:29,720
Speaker 1: going to jokingly suggest that if you get an Airbnb,

591
00:32:29,760 --> 00:32:31,640
Speaker 1: you have to like go door to door and be like, Hi,

592
00:32:31,840 --> 00:32:34,600
Speaker 1: how are you? We are renting the Airbnb. But also

593
00:32:35,000 --> 00:32:36,880
Speaker 1: people will shot. Yeah, you'll get shot. I was just

594
00:32:36,920 --> 00:32:40,520
Speaker 1: gonna say, that's happened, slug through the door. Yeah, and

595
00:32:40,560 --> 00:32:44,840
Speaker 1: this is actually so Airbnb has had some problematic uh

596
00:32:45,120 --> 00:32:50,320
Speaker 1: policies in the past, or problematic instances where people would

597
00:32:50,440 --> 00:32:54,360
Speaker 1: not rent to, you know, people, people of color. That's

598
00:32:54,400 --> 00:32:56,120
Speaker 1: what I want. White lady was in the group. She

599
00:32:56,200 --> 00:32:58,800
Speaker 1: had her face exactly, and I was telling Jack with

600
00:32:58,960 --> 00:33:01,920
Speaker 1: my girlfriend who white, I will have her book the

601
00:33:01,920 --> 00:33:03,880
Speaker 1: Airbnb because there have been times when I've done it

602
00:33:04,040 --> 00:33:06,200
Speaker 1: and it's like, oh sorry, like the booking had to

603
00:33:06,200 --> 00:33:08,640
Speaker 1: be canceled. Five minutes later she does, and they're like,

604
00:33:08,880 --> 00:33:11,640
Speaker 1: you're all good. Oh, I book places where the owner

605
00:33:11,720 --> 00:33:13,480
Speaker 1: is not on the property, and I have a white

606
00:33:13,520 --> 00:33:16,560
Speaker 1: person name lysy mostly, so I leave my name up

607
00:33:16,560 --> 00:33:18,520
Speaker 1: and then I just go to stock photos and give me,

608
00:33:18,520 --> 00:33:22,560
Speaker 1: you know, a nice happy salad. That's my profile photo.

609
00:33:23,800 --> 00:33:28,800
Speaker 1: Racially catfish people now through Airbnb. Yeah, there's also Asian

610
00:33:28,880 --> 00:33:34,680
Speaker 1: woman who rented an Airbnb drove four hours to Big Bear.

611
00:33:34,760 --> 00:33:37,080
Speaker 1: She was gonna go skiing with her friends, and when

612
00:33:37,120 --> 00:33:39,280
Speaker 1: she got to the door, the woman turned her away,

613
00:33:39,840 --> 00:33:43,080
Speaker 1: uh and responded like in text message, I wouldn't rent

614
00:33:43,080 --> 00:33:45,160
Speaker 1: to you if you were the last person on earth.

615
00:33:45,680 --> 00:33:49,280
Speaker 1: One word says it all Asian. So you got to

616
00:33:49,360 --> 00:33:53,480
Speaker 1: make sure that they're not home right right there you go.

617
00:33:53,600 --> 00:33:57,920
Speaker 1: I don't even get it. Wow wow wow. But so

618
00:33:58,040 --> 00:34:02,520
Speaker 1: Airbnb has like tried to address this by uh, they

619
00:34:02,760 --> 00:34:05,440
Speaker 1: created like a deal with then double a CP where

620
00:34:05,520 --> 00:34:09,560
Speaker 1: then double a CP would get commission on every black

621
00:34:09,600 --> 00:34:14,239
Speaker 1: host they recruited for the Airbnb site Pyramids. Yeah, basically,

622
00:34:15,000 --> 00:34:17,640
Speaker 1: and they're trying to blackwash with the double A CP

623
00:34:17,719 --> 00:34:22,200
Speaker 1: basically essentially. I think it's probably the best because you're

624
00:34:22,200 --> 00:34:24,080
Speaker 1: not going to get people to Airbnb is different because

625
00:34:24,080 --> 00:34:25,640
Speaker 1: you can't get people to open up their homes. It's

626
00:34:25,680 --> 00:34:28,120
Speaker 1: not a public business. So if people want to be look,

627
00:34:28,239 --> 00:34:29,880
Speaker 1: this is my one place where I'm like, if you

628
00:34:29,920 --> 00:34:32,800
Speaker 1: want to be racist in your house, and your house,

629
00:34:32,840 --> 00:34:36,640
Speaker 1: get your racism all turn up, you know whatever that

630
00:34:36,680 --> 00:34:40,399
Speaker 1: means for you. Um, but outside of your home, you

631
00:34:40,440 --> 00:34:43,640
Speaker 1: can't act that way. So if I think getting more

632
00:34:43,640 --> 00:34:45,920
Speaker 1: people of code to rent their places out is probably

633
00:34:45,960 --> 00:34:48,799
Speaker 1: the only viable solution, because the truth be told, we're

634
00:34:48,840 --> 00:34:50,879
Speaker 1: not going to change the hearts and minds of these

635
00:34:50,920 --> 00:34:53,719
Speaker 1: people who have decidedly chose to be fucked up or yeah,

636
00:34:53,719 --> 00:34:55,680
Speaker 1: I just decide that every person of color is a

637
00:34:55,719 --> 00:34:57,400
Speaker 1: threat to them. Yeah, and this is one of the

638
00:34:57,480 --> 00:35:02,600
Speaker 1: last just openly racist industries in America. Not like covertly,

639
00:35:02,719 --> 00:35:06,960
Speaker 1: but you know, real estate is basically still openly racist

640
00:35:07,320 --> 00:35:10,080
Speaker 1: by redlining, like you know, try and get home loan,

641
00:35:10,160 --> 00:35:12,719
Speaker 1: and try and get a home loan in a white neighborhood.

642
00:35:12,840 --> 00:35:15,399
Speaker 1: I mean, their instant booking thing did kind of help

643
00:35:15,520 --> 00:35:18,160
Speaker 1: solve some of the biases that a host might have

644
00:35:18,280 --> 00:35:19,719
Speaker 1: because it's just sort of like, well, this is the

645
00:35:19,760 --> 00:35:21,560
Speaker 1: person that has the money and can be there, so

646
00:35:21,960 --> 00:35:23,640
Speaker 1: you know, you can't look at them or vet them

647
00:35:23,719 --> 00:35:26,680
Speaker 1: to decide whether or not you can host them or not,

648
00:35:26,760 --> 00:35:28,520
Speaker 1: but you can't shut that door when they get there.

649
00:35:28,960 --> 00:35:31,520
Speaker 1: But it's just it is what it is, and it's

650
00:35:31,520 --> 00:35:34,240
Speaker 1: just part of the long continuing trend of doing anything

651
00:35:34,360 --> 00:35:36,680
Speaker 1: while black. Yeah, and it's funny because I feel like

652
00:35:36,920 --> 00:35:39,359
Speaker 1: so many times I hear white people even well meaning

653
00:35:39,360 --> 00:35:41,000
Speaker 1: white people are like, well, do you guys bring up

654
00:35:41,080 --> 00:35:44,160
Speaker 1: race so much? And it's that's also the problem, and

655
00:35:44,160 --> 00:35:47,280
Speaker 1: it's like, no, we I have to think about. Blackness

656
00:35:47,320 --> 00:35:50,000
Speaker 1: is an insecurity that I had to realize I had

657
00:35:50,080 --> 00:35:52,000
Speaker 1: so that I could control it, because I would show

658
00:35:52,080 --> 00:35:54,040
Speaker 1: up places and be like, oh, do they even know

659
00:35:54,120 --> 00:35:59,239
Speaker 1: I'm black? Like no one told you that. A job

660
00:35:59,280 --> 00:36:01,279
Speaker 1: interview like that, you come out and they're sitting there

661
00:36:01,280 --> 00:36:04,480
Speaker 1: looking around and you're the only person. They're like, oh, Miles,

662
00:36:04,880 --> 00:36:07,040
Speaker 1: and You're like, oh, yeah, that that's me. You're like, oh,

663
00:36:07,080 --> 00:36:09,920
Speaker 1: you sounded different on the phone with the name like lazy.

664
00:36:10,080 --> 00:36:12,400
Speaker 1: I used to like baby sit in my neighborhood and

665
00:36:12,440 --> 00:36:15,680
Speaker 1: it's a very white neighborhood. Um, then people have money.

666
00:36:15,760 --> 00:36:17,799
Speaker 1: But I should be just babysit because I just, you know,

667
00:36:17,840 --> 00:36:20,279
Speaker 1: wanted to, And I would like leave these little door

668
00:36:20,280 --> 00:36:21,840
Speaker 1: tags on people's doors, and then they would call me

669
00:36:21,840 --> 00:36:25,319
Speaker 1: and be like Hi, Lazy, and I'd be Hi, yeah

670
00:36:26,400 --> 00:36:28,440
Speaker 1: for sure, And then I get I'm like, I were

671
00:36:28,480 --> 00:36:34,040
Speaker 1: your kisold in the free years, be like, oh my god,

672
00:36:34,080 --> 00:36:38,400
Speaker 1: you're light sick. Yeah. The trend continues, you know what

673
00:36:38,400 --> 00:36:41,719
Speaker 1: I mean, because even just there was like someone like yesterday,

674
00:36:41,800 --> 00:36:44,040
Speaker 1: a guy in I think Memphis or something. He was

675
00:36:44,080 --> 00:36:46,480
Speaker 1: like a real estate investor and was looking at a

676
00:36:46,560 --> 00:36:49,319
Speaker 1: home to like just do an inspection to flip it.

677
00:36:49,440 --> 00:36:52,000
Speaker 1: A woman called the cops on him. They called police

678
00:36:52,040 --> 00:36:55,040
Speaker 1: on a black police officer who was looking for shell

679
00:36:55,120 --> 00:36:57,960
Speaker 1: casings outside of like a crime scene, Like there's a

680
00:36:58,000 --> 00:37:01,239
Speaker 1: black man out here in police close like they being

681
00:37:01,280 --> 00:37:04,040
Speaker 1: a police officer. I don't know. It could be a costume.

682
00:37:04,520 --> 00:37:11,040
Speaker 1: We don't Halloween is soon, capri jesus. So this is

683
00:37:11,080 --> 00:37:14,799
Speaker 1: also part of a trend, a wider trend of companies

684
00:37:14,840 --> 00:37:19,960
Speaker 1: that started just as like some halfasst fun, part time

685
00:37:20,000 --> 00:37:24,920
Speaker 1: thing that turned into like giant behemoths. Because so Airbnb

686
00:37:25,080 --> 00:37:28,960
Speaker 1: started ten years ago as two guys renting out an

687
00:37:28,960 --> 00:37:32,399
Speaker 1: air mattress in their apartment. Basically they noticed that all

688
00:37:32,480 --> 00:37:36,840
Speaker 1: these hotels were getting bought up, like during conventions. I

689
00:37:36,840 --> 00:37:39,240
Speaker 1: think it was in San Francisco, and so they started

690
00:37:39,280 --> 00:37:42,680
Speaker 1: renting out their air mattresses and called it air bed

691
00:37:42,719 --> 00:37:46,880
Speaker 1: and breakfast and people were just like that, desperately in

692
00:37:46,960 --> 00:37:50,759
Speaker 1: need of housing, and then somehow that evolved into them

693
00:37:50,800 --> 00:37:54,600
Speaker 1: being Airbnb. I'm dealing with finding out the origin of

694
00:37:54,640 --> 00:37:56,919
Speaker 1: the name right now, Like when people found out about

695
00:37:57,000 --> 00:37:59,960
Speaker 1: megos being short for amigos, right, I was like, why air?

696
00:38:00,120 --> 00:38:04,600
Speaker 1: What an air mattress? Because San Francisco real estate is

697
00:38:04,600 --> 00:38:08,000
Speaker 1: so fucked up, someone will probably take your house, so

698
00:38:08,120 --> 00:38:10,600
Speaker 1: it's not even like in a lady house. Like it's like,

699
00:38:10,600 --> 00:38:14,360
Speaker 1: come on, yeah, you can run aero, you can you

700
00:38:14,400 --> 00:38:20,520
Speaker 1: can write like a joke nasty exactly, And then it

701
00:38:20,520 --> 00:38:24,440
Speaker 1: turns into this like world changing, right, game changer, and

702
00:38:25,000 --> 00:38:27,200
Speaker 1: what nasty ship can we run out to make a

703
00:38:27,239 --> 00:38:32,080
Speaker 1: fortunate I know, but it's people just you know, stumbling

704
00:38:32,160 --> 00:38:38,839
Speaker 1: backwards into multibillion dollar behemoth. And so Uber similarly was

705
00:38:39,040 --> 00:38:42,800
Speaker 1: started by a guy who's just like the all time

706
00:38:43,000 --> 00:38:46,839
Speaker 1: biggest asshole. Apparently when Uber first started taking out, he

707
00:38:47,360 --> 00:38:50,520
Speaker 1: took to calling it Buber because of how much it

708
00:38:50,560 --> 00:38:56,920
Speaker 1: gets me laid bro, Travis Kalnik Bober Bouber because that's

709
00:38:57,239 --> 00:39:03,479
Speaker 1: that's because boobs and sex, you know, guys stuff, right,

710
00:39:03,920 --> 00:39:08,319
Speaker 1: And it grew like out of this crazy misogynistic fat

711
00:39:08,400 --> 00:39:13,680
Speaker 1: brow tech bro into a crazy abuse of the misogynistic

712
00:39:13,760 --> 00:39:17,600
Speaker 1: company with just a horrible culture. And so now they're

713
00:39:17,640 --> 00:39:22,080
Speaker 1: trying to reel that in UH and the new CEO

714
00:39:22,239 --> 00:39:25,359
Speaker 1: has this is being treated like they are, you know,

715
00:39:25,440 --> 00:39:31,000
Speaker 1: making the world's biggest concession. Uh. They have stopped forcing

716
00:39:31,040 --> 00:39:35,160
Speaker 1: people to go into private arbitration when they are sexually

717
00:39:35,160 --> 00:39:39,200
Speaker 1: assaulted or sexually harassed by an Uber driver. Yeah, it

718
00:39:39,239 --> 00:39:42,040
Speaker 1: happens a lot. And the reason that you don't hear

719
00:39:42,080 --> 00:39:44,680
Speaker 1: more about it is because when you sign up for Uber,

720
00:39:45,080 --> 00:39:47,640
Speaker 1: you sign away your right to go to court. To

721
00:39:47,719 --> 00:39:52,400
Speaker 1: go to court, you solve everything with them in private arbitration,

722
00:39:52,760 --> 00:39:55,560
Speaker 1: and you know, private arbitration means that it's not going

723
00:39:55,600 --> 00:39:58,839
Speaker 1: to be publicized and also like not a fair way

724
00:39:58,880 --> 00:40:03,640
Speaker 1: to because they can't bully you. Right, So you know

725
00:40:03,680 --> 00:40:06,319
Speaker 1: your Congress handles are assault cases to like if several

726
00:40:06,480 --> 00:40:07,800
Speaker 1: version of just sort of like okay, let's take it.

727
00:40:07,840 --> 00:40:11,400
Speaker 1: Other congresses is even it's because you have to you

728
00:40:12,600 --> 00:40:15,640
Speaker 1: have to go to work for six months and like

729
00:40:16,080 --> 00:40:20,560
Speaker 1: do uh in Congress if you accuse somebody of sexual

730
00:40:21,000 --> 00:40:23,480
Speaker 1: harassment or even assault, you have to like go to

731
00:40:23,600 --> 00:40:26,360
Speaker 1: mediation with them for six months while you guys like

732
00:40:26,440 --> 00:40:29,440
Speaker 1: try to work it out. Um, Yeah, which is basically

733
00:40:29,480 --> 00:40:31,360
Speaker 1: just be like, oh well, we'll make it so uncomfortable

734
00:40:31,400 --> 00:40:33,400
Speaker 1: for the person that that they just don't want to

735
00:40:33,400 --> 00:40:35,520
Speaker 1: work with this process. But I think they're they're trying

736
00:40:35,520 --> 00:40:38,160
Speaker 1: to mend that. If maybe they have already, they're working

737
00:40:38,160 --> 00:40:41,120
Speaker 1: on it. Chris and Jill Brand. But as for Uber,

738
00:40:41,320 --> 00:40:43,440
Speaker 1: I don't know. You know, your company has made some mistakes.

739
00:40:43,440 --> 00:40:46,840
Speaker 1: If your new messages, if you get raped using our product,

740
00:40:46,960 --> 00:40:50,400
Speaker 1: you can have your day in court. We're changing our ways,

741
00:40:50,440 --> 00:40:54,120
Speaker 1: like not like it used to be, right exactly, Um,

742
00:40:54,200 --> 00:40:58,160
Speaker 1: that's super Man Uber Uber Uber. What can you do? Yeah,

743
00:40:58,200 --> 00:41:00,360
Speaker 1: I mean they're like because they're sucking up a taxi

744
00:41:00,360 --> 00:41:02,799
Speaker 1: industry in certain places to or like you know, I'm

745
00:41:02,960 --> 00:41:06,240
Speaker 1: mad about that. Yeah. I lived in New York City,

746
00:41:06,360 --> 00:41:12,400
Speaker 1: and when you're like, oh yeah, especially being black, I'm like,

747
00:41:12,400 --> 00:41:13,960
Speaker 1: at least when I pull up, I can get in.

748
00:41:14,080 --> 00:41:17,040
Speaker 1: I'll had cars taxis clipped me. Have you been hit

749
00:41:17,080 --> 00:41:20,080
Speaker 1: by Actually, I know so many people who have been

750
00:41:20,160 --> 00:41:24,880
Speaker 1: hit by taxis. I've had I've had a door taken

751
00:41:25,000 --> 00:41:27,759
Speaker 1: off by a taxi, Like as I was getting out

752
00:41:27,760 --> 00:41:30,440
Speaker 1: of another taxi. It wasn't like my car. Wait, actually

753
00:41:30,480 --> 00:41:34,160
Speaker 1: I always think the door yeah yeah, And you were

754
00:41:34,200 --> 00:41:37,959
Speaker 1: like yeah, ye oh, sh crazy. I know somebody who's

755
00:41:38,000 --> 00:41:41,759
Speaker 1: died from getting hit by a taxi. Daniel O'Brien from

756
00:41:41,960 --> 00:41:45,239
Speaker 1: Daniel No, No, he got like but he got hit

757
00:41:45,400 --> 00:41:47,120
Speaker 1: really bad, to the point that he came back to

758
00:41:47,120 --> 00:41:50,480
Speaker 1: work limping. Uh. Yeah, d o b was hit by

759
00:41:50,480 --> 00:41:52,200
Speaker 1: a tax cab in New York by taxi cab and

760
00:41:52,200 --> 00:41:54,480
Speaker 1: the only thing that saved him is like he was

761
00:41:54,520 --> 00:41:56,560
Speaker 1: so surprised that he jumped up in the air. And

762
00:41:56,600 --> 00:41:58,920
Speaker 1: that's apparently like exactly what you're supposed to do if

763
00:41:58,920 --> 00:42:00,960
Speaker 1: you're about to be hit by a rather being planted

764
00:42:01,080 --> 00:42:06,799
Speaker 1: right really yeah, yeah, so I don't know, man, Yeah,

765
00:42:07,360 --> 00:42:09,160
Speaker 1: you have a body camera and you can get that

766
00:42:09,200 --> 00:42:12,239
Speaker 1: scamra But yeah, like I think I would feel worse

767
00:42:12,280 --> 00:42:14,880
Speaker 1: for the taxi industry if they hadn't been such trash

768
00:42:15,000 --> 00:42:18,239
Speaker 1: for so long. It's more like in other countries to

769
00:42:18,400 --> 00:42:23,840
Speaker 1: like Paris, who they were fucking ready to like beat

770
00:42:23,880 --> 00:42:26,680
Speaker 1: the ship out of uber drivers. Now they were dropping

771
00:42:26,719 --> 00:42:30,920
Speaker 1: bricks on ubers and ships from overpasses. Yeah, it was

772
00:42:31,040 --> 00:42:34,360
Speaker 1: no fucking jokes, serious game. Yeah. The they do not

773
00:42:34,560 --> 00:42:39,480
Speaker 1: funk around when it comes to uh unionizing and organizing

774
00:42:38,880 --> 00:42:41,920
Speaker 1: and won't even let their drivers unionize, you know what

775
00:42:42,000 --> 00:42:44,400
Speaker 1: I mean. So like it's just like you know, they

776
00:42:44,400 --> 00:42:46,440
Speaker 1: can not to mention that the drivers are treated shitty

777
00:42:46,480 --> 00:42:48,880
Speaker 1: to like, it's just it's hard to find a good

778
00:42:48,920 --> 00:42:51,719
Speaker 1: thing about it in terms aside from the convenience of

779
00:42:51,760 --> 00:42:53,560
Speaker 1: being able to summon a vehicle to get from point

780
00:42:53,680 --> 00:42:56,560
Speaker 1: to point. There was a heartbreaking story about a cab

781
00:42:56,640 --> 00:43:01,279
Speaker 1: driver who invested basically, you invest in these medallions, these

782
00:43:01,280 --> 00:43:04,200
Speaker 1: taxing medallions, and like they used to cost one point

783
00:43:04,280 --> 00:43:07,400
Speaker 1: five million dollars when this dude bought them, and like

784
00:43:07,480 --> 00:43:09,640
Speaker 1: he was paying it off, paying it off, paying it off,

785
00:43:09,840 --> 00:43:11,680
Speaker 1: and then Uber came in and now they're worth less

786
00:43:11,680 --> 00:43:14,759
Speaker 1: than a hundred thousand dollars, and so like there's this

787
00:43:15,000 --> 00:43:18,200
Speaker 1: huge rash of suicides among cab drivers who like did

788
00:43:18,239 --> 00:43:20,759
Speaker 1: this because they just like lost all of their savings

789
00:43:20,800 --> 00:43:24,719
Speaker 1: from Uber. My god, Uh so yeah, it's Uber's fucked

790
00:43:24,760 --> 00:43:27,239
Speaker 1: up in many ways. Granted, so are a lot of

791
00:43:27,280 --> 00:43:30,279
Speaker 1: cab drivers. So but yeah, so, I mean, the one

792
00:43:30,280 --> 00:43:33,120
Speaker 1: thing you can say is this is a start for Uber.

793
00:43:33,400 --> 00:43:35,800
Speaker 1: Like they did look at the what they were like, Okay,

794
00:43:35,800 --> 00:43:38,440
Speaker 1: what is the single most fucked up thing about our company?

795
00:43:38,719 --> 00:43:41,719
Speaker 1: And then they actually addressed it and like openly addressed it.

796
00:43:42,000 --> 00:43:43,960
Speaker 1: You know, this is like some ship that Facebook might

797
00:43:43,960 --> 00:43:47,239
Speaker 1: fix in their user terms of service and then like

798
00:43:47,320 --> 00:43:49,840
Speaker 1: just you know, quietly make it go away. But Uber

799
00:43:49,920 --> 00:43:52,120
Speaker 1: is like, all right, so we're really fucked up company.

800
00:43:52,160 --> 00:43:54,719
Speaker 1: We're trying to fix stuff. So here's the thing that's

801
00:43:54,760 --> 00:43:57,640
Speaker 1: gonna be doing differently. Those are the best apologies though, too.

802
00:43:57,840 --> 00:43:59,279
Speaker 1: You know, when you can come and be like, hey,

803
00:43:59,360 --> 00:44:01,400
Speaker 1: we've been fun it up right and we're going to

804
00:44:01,480 --> 00:44:04,240
Speaker 1: do something about it. Because most places, especially in this country,

805
00:44:04,239 --> 00:44:07,480
Speaker 1: are most people too in the public eye, will you know,

806
00:44:07,600 --> 00:44:09,800
Speaker 1: give half ast apologies or whatever and ship like that.

807
00:44:09,920 --> 00:44:12,400
Speaker 1: So I feel like those we've been sucking up moments

808
00:44:12,400 --> 00:44:14,320
Speaker 1: always come on the heels of somebody about the auto

809
00:44:14,400 --> 00:44:16,960
Speaker 1: ass though, because I feel like when it kept it

810
00:44:17,000 --> 00:44:19,120
Speaker 1: real quiet, somebody was about to blow whistle right. But

811
00:44:19,160 --> 00:44:21,240
Speaker 1: in Facebook, like they're not out here. I mean, although

812
00:44:21,280 --> 00:44:23,280
Speaker 1: they are trying to run new ads like we're getting

813
00:44:23,280 --> 00:44:26,160
Speaker 1: back to like what Facebook was about. They're running those

814
00:44:26,200 --> 00:44:31,040
Speaker 1: ads ads all over the NBA playoffs, being like remember

815
00:44:31,080 --> 00:44:36,960
Speaker 1: when Facebook was a good check out griends. Yeah, we're

816
00:44:37,000 --> 00:44:40,759
Speaker 1: not gonna steal your info no more. All right, we're

817
00:44:40,760 --> 00:44:51,200
Speaker 1: gonna take a quick break. We'll be right back, and

818
00:44:51,280 --> 00:44:54,839
Speaker 1: we're back and yeah, we just blew by that megos thing.

819
00:44:54,920 --> 00:44:57,759
Speaker 1: But I did not know megos was short for um

820
00:44:57,760 --> 00:45:03,439
Speaker 1: egos until the Donald Glover sketch on SNL where where

821
00:45:03,480 --> 00:45:06,239
Speaker 1: they called them friend does. I was like, oh right,

822
00:45:06,400 --> 00:45:08,120
Speaker 1: I thought that was a reference to No Country for

823
00:45:08,160 --> 00:45:15,440
Speaker 1: Old men. Friend. Um, I love teeth. That was my

824
00:45:15,480 --> 00:45:18,120
Speaker 1: favorite ad libe. But apparently it was trending yesterday because

825
00:45:18,680 --> 00:45:24,480
Speaker 1: Drake's new tour is Drake and the Three Amigos. So

826
00:45:25,320 --> 00:45:28,040
Speaker 1: now we're gonna get onto something that is currently blowing

827
00:45:28,120 --> 00:45:31,440
Speaker 1: the minds of everybody in our office, um and the internet.

828
00:45:31,640 --> 00:45:36,560
Speaker 1: It is the Laurel or Yanni debate. So let's let's

829
00:45:36,600 --> 00:45:38,839
Speaker 1: just hear. Let's let's just get right into it. Let's

830
00:45:38,880 --> 00:45:42,719
Speaker 1: hear this piece of audio. Um, and everyone tell us

831
00:45:42,880 --> 00:45:44,680
Speaker 1: we don't tell us. You know, we can't talk to you?

832
00:45:44,760 --> 00:45:47,720
Speaker 1: Is the one way medium? But uh you hearing? Yeah,

833
00:45:47,920 --> 00:46:00,880
Speaker 1: Laurel Laurel. Okay? Now Laurel again, Laurel, Laurel, Laurel Laurel Okay,

834
00:46:01,000 --> 00:46:04,080
Speaker 1: we'll can hear it. Lay right here Laurel or Yanni?

835
00:46:04,800 --> 00:46:06,279
Speaker 1: Oh yeah, I don't hear that little lady in the

836
00:46:06,360 --> 00:46:13,640
Speaker 1: back like hell. We have established that Lacy had superhearing,

837
00:46:13,840 --> 00:46:17,560
Speaker 1: Like we were playing this uh high pitched thing in

838
00:46:17,600 --> 00:46:20,719
Speaker 1: our old studio that only people who are like under

839
00:46:20,760 --> 00:46:22,560
Speaker 1: a certain age are supposed to be able to hear

840
00:46:22,560 --> 00:46:26,359
Speaker 1: because their ears haven't just been completely fucked yet. And

841
00:46:26,520 --> 00:46:28,680
Speaker 1: Lacey was the only person who was able to hear it,

842
00:46:28,920 --> 00:46:32,439
Speaker 1: like the full frequency range of protect these little drums, right,

843
00:46:32,520 --> 00:46:38,080
Speaker 1: so as it really reflects on people with you're hearing

844
00:46:38,280 --> 00:46:41,920
Speaker 1: are Laurel? You're Laurel? Right, I hear Laurel. I heard

845
00:46:42,080 --> 00:46:45,080
Speaker 1: Laurel all day yesterday. I heard Laurel when we just

846
00:46:45,160 --> 00:46:48,040
Speaker 1: listened to it there, but all morning this morning I

847
00:46:48,080 --> 00:46:51,239
Speaker 1: heard a version of it that sounded like Yanni and

848
00:46:51,600 --> 00:46:54,399
Speaker 1: started hearing Yanni. And I hadn't been able to hear

849
00:46:54,480 --> 00:46:57,279
Speaker 1: Laurel again until just then, So no, you didn't hear that.

850
00:46:57,320 --> 00:46:59,759
Speaker 1: Was watching a rerun of Jersey Shore where thinky was

851
00:46:59,800 --> 00:47:03,719
Speaker 1: like Yanni? Right, yeah, it was like um, but this

852
00:47:03,840 --> 00:47:07,000
Speaker 1: is basically when that dress thing happened, where like some

853
00:47:07,040 --> 00:47:09,759
Speaker 1: people saw it as black and blue and some people

854
00:47:09,800 --> 00:47:13,440
Speaker 1: saw it as white and gold. So see, now I

855
00:47:13,440 --> 00:47:16,120
Speaker 1: got to keep listening to this like a sociopath or something,

856
00:47:16,120 --> 00:47:18,399
Speaker 1: because when I saw the blue dress, I first saw

857
00:47:18,440 --> 00:47:20,439
Speaker 1: it as a blue dress, and then I started looking

858
00:47:20,480 --> 00:47:23,120
Speaker 1: at that ship just forever, and then it was white

859
00:47:23,160 --> 00:47:25,759
Speaker 1: to me, and I could go back and forth. So

860
00:47:25,800 --> 00:47:27,640
Speaker 1: now I need to listen to this until it's Yanni

861
00:47:27,680 --> 00:47:32,320
Speaker 1: because I need to be a lightened right. So yeah,

862
00:47:32,400 --> 00:47:38,319
Speaker 1: so I don't it sounds like Laurel. Laurel. Second, for

863
00:47:38,360 --> 00:47:43,440
Speaker 1: a second, Laurel, No, did you change that, Nick? What

864
00:47:43,560 --> 00:47:47,200
Speaker 1: you're doing? Nick? The first time you played it, it it

865
00:47:47,280 --> 00:47:50,439
Speaker 1: sounded like Yanni. Yeah. I think what happened is because

866
00:47:50,520 --> 00:47:54,560
Speaker 1: Lacey was saying something distorted disrupted my hearing for a

867
00:47:54,600 --> 00:47:56,680
Speaker 1: second that I hear it. So aren't they saying that

868
00:47:56,719 --> 00:47:59,160
Speaker 1: it's a combination of like Yanni is in there too,

869
00:47:59,200 --> 00:48:01,239
Speaker 1: but it's at a high frequency or something. But you

870
00:48:01,280 --> 00:48:04,040
Speaker 1: can't hear them both at the same time, and when

871
00:48:04,120 --> 00:48:07,080
Speaker 1: you're hearing one, you can't hear the other. It's crazy

872
00:48:07,080 --> 00:48:09,759
Speaker 1: because when I was hearing Yanni earlier, I couldn't hear

873
00:48:09,840 --> 00:48:12,160
Speaker 1: Laurel at all, and you can only hear you. I

874
00:48:12,160 --> 00:48:15,080
Speaker 1: could only hear Yanni, and now I can only hear Laurel.

875
00:48:15,120 --> 00:48:18,359
Speaker 1: Like an auditory illusion, kind of those ones where it's

876
00:48:18,360 --> 00:48:20,600
Speaker 1: like where you see like those like on an electric

877
00:48:20,640 --> 00:48:22,359
Speaker 1: sign where it looks like something spinning and you can't

878
00:48:22,360 --> 00:48:25,080
Speaker 1: tell direction. Have we been in the room with people

879
00:48:25,080 --> 00:48:27,600
Speaker 1: who are hearing different things but they're in the same room. Yes,

880
00:48:27,800 --> 00:48:31,080
Speaker 1: yesterday Caitlyn Dante and Jamie Lofts were in here and

881
00:48:31,160 --> 00:48:35,240
Speaker 1: Caitlin Darante heard Yanni. Yeah, and Jamie Loft has heard Laurel.

882
00:48:35,760 --> 00:48:38,440
Speaker 1: We were all hearing Laurel. And then just now in

883
00:48:38,560 --> 00:48:41,719
Speaker 1: Nick's booth, I was hearing Yanni and everybody else was

884
00:48:41,760 --> 00:48:44,279
Speaker 1: hearing Laurel. Okay, because all about the same. Maybe it's

885
00:48:44,280 --> 00:48:49,200
Speaker 1: just us. It's like, it's crazy. So when the dress

886
00:48:49,239 --> 00:48:51,360
Speaker 1: thing happened, they were like these articles saying it was

887
00:48:51,400 --> 00:48:55,439
Speaker 1: all about how our visual cortex interacts with a light

888
00:48:55,520 --> 00:48:58,759
Speaker 1: reflecting off surfaces in our visual frame. There's like this

889
00:48:58,840 --> 00:49:02,840
Speaker 1: wire article where, uh, they were saying our visual system

890
00:49:02,880 --> 00:49:06,080
Speaker 1: is supposed to throw away information. But I've studied individual

891
00:49:06,120 --> 00:49:09,279
Speaker 1: differences in color vision for thirty years and I just

892
00:49:09,400 --> 00:49:11,840
Speaker 1: never really bought that that it was like a color

893
00:49:11,880 --> 00:49:15,160
Speaker 1: specific thing. And now I think I'm vindicated. I think

894
00:49:15,320 --> 00:49:18,360
Speaker 1: this is proof that it's it's not just colors, it's

895
00:49:18,360 --> 00:49:22,799
Speaker 1: basically how our senses interact with our brain. Um, there's

896
00:49:22,840 --> 00:49:25,759
Speaker 1: this book Incognito by David Eagleman, that is one of

897
00:49:25,760 --> 00:49:29,799
Speaker 1: my favorite nonfiction books that everybody should read. But uh

898
00:49:29,840 --> 00:49:32,840
Speaker 1: he talks about how there are way more nerves traveling

899
00:49:32,920 --> 00:49:35,879
Speaker 1: from our brain to our eyes in that direction than

900
00:49:35,920 --> 00:49:38,840
Speaker 1: from our eyes to our brain. Uh So, in other words,

901
00:49:38,880 --> 00:49:41,600
Speaker 1: we see with our eyes, but we also to a

902
00:49:41,680 --> 00:49:44,520
Speaker 1: large degree see with our memory. Like our memory fills

903
00:49:44,520 --> 00:49:46,960
Speaker 1: in a lot of our visual field with just what

904
00:49:47,040 --> 00:49:49,480
Speaker 1: it knows is they're based on what you've seen in

905
00:49:49,480 --> 00:49:53,160
Speaker 1: the past and in context. So if that's true, and

906
00:49:53,200 --> 00:49:57,040
Speaker 1: if that applies to all of our you know, sensory

907
00:49:57,120 --> 00:50:02,520
Speaker 1: perception organs, then you know you're bringing so much of

908
00:50:03,080 --> 00:50:06,520
Speaker 1: your memory and your personal experience to everything you hear

909
00:50:07,080 --> 00:50:10,360
Speaker 1: that it is going to be totally different to different

910
00:50:10,400 --> 00:50:13,880
Speaker 1: people basically. Um, And I think, like, I don't know,

911
00:50:13,920 --> 00:50:17,480
Speaker 1: think about how completely different it sounds when you hear

912
00:50:17,520 --> 00:50:19,799
Speaker 1: a song for the first time, to like when you

913
00:50:19,840 --> 00:50:22,719
Speaker 1: hear it for the seventh time and you absolutely love it, too,

914
00:50:22,840 --> 00:50:24,839
Speaker 1: when you hear it for the hundredth time and you're

915
00:50:24,880 --> 00:50:27,960
Speaker 1: just like so tired of this song, it's like it

916
00:50:28,080 --> 00:50:32,480
Speaker 1: sounds like a different song. And I don't know, I

917
00:50:32,520 --> 00:50:37,120
Speaker 1: feel like that's partially what's happening with how this is

918
00:50:37,200 --> 00:50:40,360
Speaker 1: hitting our brains. I don't think I'm ever gonna hear Yanni.

919
00:50:40,480 --> 00:50:42,279
Speaker 1: I think if I do, I'm gonna have to like

920
00:50:42,400 --> 00:50:45,240
Speaker 1: bring the audio tracking the logic and start like fucking

921
00:50:45,239 --> 00:50:48,080
Speaker 1: with the speed of it or something, because that's what like,

922
00:50:48,320 --> 00:50:50,600
Speaker 1: what's crazy is that this thing has even like Mother

923
00:50:50,719 --> 00:50:52,680
Speaker 1: Jones is writing about it and ship and like they

924
00:50:52,719 --> 00:50:54,799
Speaker 1: have like they were linking to tweets where someone was

925
00:50:54,800 --> 00:50:57,320
Speaker 1: pitching it up and down in different directions and different

926
00:50:57,560 --> 00:51:00,080
Speaker 1: uh quantities or whatever, and they're saying, like you and

927
00:51:00,160 --> 00:51:03,320
Speaker 1: here Yanni at certain levels. But honestly, I'm team Laurel.

928
00:51:03,400 --> 00:51:06,560
Speaker 1: So I've been both, man, I've been to the other

929
00:51:06,600 --> 00:51:12,560
Speaker 1: show the other That's why I want to go. I

930
00:51:12,640 --> 00:51:15,360
Speaker 1: wanna make sure my chakras are online. Yeah, I gotta

931
00:51:15,360 --> 00:51:18,319
Speaker 1: hear them both. Yeah, f t before make sure all

932
00:51:18,360 --> 00:51:22,440
Speaker 1: your Meridians is moving right. Yeah. So super producer Nick

933
00:51:22,480 --> 00:51:26,040
Speaker 1: Stump was just asking if there is like a definitive

934
00:51:26,719 --> 00:51:29,839
Speaker 1: answer for what is actually being said in the same

935
00:51:29,880 --> 00:51:34,120
Speaker 1: way that once you saw the dress, it yeah it

936
00:51:34,160 --> 00:51:35,920
Speaker 1: was blue and black like we always said, and all

937
00:51:35,920 --> 00:51:39,080
Speaker 1: those other people were crazy. Uh, there is only one answer,

938
00:51:39,120 --> 00:51:42,400
Speaker 1: it is Laurel. Okay, then I'm just saying that because

939
00:51:42,520 --> 00:51:46,879
Speaker 1: I my ego can't handle anything. Yeah, So I don't know. Alright, Well,

940
00:51:46,920 --> 00:51:49,520
Speaker 1: I guess superproducer Nick Stump just ruined it for us

941
00:51:49,640 --> 00:51:51,920
Speaker 1: and found out that it's from vocabulary dot com. When

942
00:51:51,960 --> 00:51:53,720
Speaker 1: you type in the word Laurel and have its speech

943
00:51:53,800 --> 00:51:56,800
Speaker 1: it back to you. The text speech it says Laurel.

944
00:51:57,160 --> 00:51:59,600
Speaker 1: And obviously there's not gonna be no Yanni because that's

945
00:51:59,600 --> 00:52:02,480
Speaker 1: a name of one of the greatest vocalists of our time.

946
00:52:02,760 --> 00:52:05,560
Speaker 1: M hm, I don't buy it, all right, Well, we

947
00:52:05,600 --> 00:52:08,480
Speaker 1: don't have to, you know, fake news, fake news. No,

948
00:52:08,640 --> 00:52:11,239
Speaker 1: it definitely sounds just like Laurel to me now, but

949
00:52:12,120 --> 00:52:14,600
Speaker 1: I don't know for some reason when I was hearing

950
00:52:14,600 --> 00:52:19,520
Speaker 1: it earlier, out of speakers, try from different speakers to speakers, distances,

951
00:52:20,040 --> 00:52:22,600
Speaker 1: you know, all kinds of ways, quadrophonics, round sound. Have

952
00:52:22,600 --> 00:52:25,879
Speaker 1: you got to do it? All right? And finally, Lacy, uh,

953
00:52:26,160 --> 00:52:28,520
Speaker 1: you said that there is a meaning behind your a

954
00:52:28,640 --> 00:52:31,520
Speaker 1: k the Paul Gonzalez thing. This is not a scamper, uh. No,

955
00:52:31,680 --> 00:52:34,640
Speaker 1: Paul Gonzalez is a scammer. Uh. And maybe this will

956
00:52:34,680 --> 00:52:37,680
Speaker 1: help people in the Southern California area. But this is

957
00:52:37,680 --> 00:52:40,879
Speaker 1: a man who's on dating apps, who is um going

958
00:52:40,880 --> 00:52:48,799
Speaker 1: on first dates with women and then yes, Fagnzalez is

959
00:52:48,840 --> 00:52:51,440
Speaker 1: the diyning dash dater. He is going out here and

960
00:52:51,480 --> 00:52:54,880
Speaker 1: taking women off for his days and then he is leaving, yeah,

961
00:52:55,000 --> 00:52:57,759
Speaker 1: before the check. It's usually the thing is they show up,

962
00:52:57,760 --> 00:52:59,880
Speaker 1: he's like, oh, I came here early and already are

963
00:53:00,120 --> 00:53:02,439
Speaker 1: but I'm down to eat again, and so the waiter

964
00:53:02,480 --> 00:53:05,439
Speaker 1: will come match, they'll order the thing, and then he'll

965
00:53:05,480 --> 00:53:08,160
Speaker 1: bone out with leaving her like with the fucking check

966
00:53:08,239 --> 00:53:11,400
Speaker 1: while he's had a whole steak dinner and the first day.

967
00:53:11,680 --> 00:53:14,040
Speaker 1: So you don't know this person and he's meeting these

968
00:53:14,040 --> 00:53:17,279
Speaker 1: women on apps like go on, go on Jesus and

969
00:53:17,320 --> 00:53:20,280
Speaker 1: Merrow's YouTube channel because they've talked about a couple of times.

970
00:53:20,760 --> 00:53:23,760
Speaker 1: Is hilarious because yeah, like one of the recent times,

971
00:53:23,880 --> 00:53:28,319
Speaker 1: one of the managers the restaurant recognized kicked him out

972
00:53:28,440 --> 00:53:30,480
Speaker 1: and then comp this woman's meal because he was like,

973
00:53:30,520 --> 00:53:33,920
Speaker 1: it's okay, queen, like I'm sorry about him, but listen,

974
00:53:33,960 --> 00:53:36,279
Speaker 1: that's a dope scam. I don't I don't. I don't

975
00:53:36,280 --> 00:53:38,640
Speaker 1: want to encourage men to do that because look when

976
00:53:38,680 --> 00:53:41,080
Speaker 1: women go on day. It's like, you need to pick

977
00:53:41,160 --> 00:53:43,080
Speaker 1: that check up. And then if you want to do half,

978
00:53:43,120 --> 00:53:46,880
Speaker 1: that's cool, but you're never gonna see me again. But no,

979
00:53:47,040 --> 00:53:49,400
Speaker 1: we're not going half on the first day. I'm a queen.

980
00:53:49,520 --> 00:53:52,279
Speaker 1: You need to pick that up. You can't afford me,

981
00:53:52,320 --> 00:53:54,319
Speaker 1: and if you day somebody who can't. If you if

982
00:53:54,320 --> 00:53:56,399
Speaker 1: you both broke, it's cool because then you're both broke.

983
00:53:56,520 --> 00:53:57,880
Speaker 1: But if one of you is not broken and the

984
00:53:57,960 --> 00:53:59,919
Speaker 1: other one is, then you make the other person broke

985
00:54:00,000 --> 00:54:04,439
Speaker 1: because yeah, exactly, and then put your sink a little

986
00:54:04,440 --> 00:54:07,200
Speaker 1: bit because she was hired. But all I'm saying is

987
00:54:07,200 --> 00:54:09,680
Speaker 1: is like, that's a great scam. My man's is out

988
00:54:09,760 --> 00:54:14,440
Speaker 1: here really dining. They've made articles about him. Women are pissed.

989
00:54:15,360 --> 00:54:17,000
Speaker 1: If you google him, you can see his face. He's

990
00:54:17,040 --> 00:54:19,400
Speaker 1: like moderately attractive. He looks I think he lives with

991
00:54:19,400 --> 00:54:22,680
Speaker 1: his mom too or something. He's like running. He like

992
00:54:22,719 --> 00:54:24,359
Speaker 1: lived around the corner with his mom. And there's there's

993
00:54:24,400 --> 00:54:26,560
Speaker 1: many demensions to people like, hey, queen, let's go out

994
00:54:26,600 --> 00:54:30,920
Speaker 1: to Mastro steakhouse tonight. Yeah, but think about it. If

995
00:54:30,960 --> 00:54:33,360
Speaker 1: you're a woman, and you probably I mean, if you

996
00:54:33,440 --> 00:54:35,120
Speaker 1: live in l a ship will be out here just

997
00:54:35,239 --> 00:54:37,200
Speaker 1: rolling the dice with dudes and be like, well why

998
00:54:37,239 --> 00:54:40,759
Speaker 1: not Paul, He's like, oh, I want to meet you

999
00:54:40,800 --> 00:54:42,920
Speaker 1: at Crustacean. Right, He's like, I want to meet you

1000
00:54:42,960 --> 00:54:47,640
Speaker 1: at Mastro's Queen. He like his top line, looking to

1001
00:54:47,840 --> 00:54:53,440
Speaker 1: stop looking. That's a scam kind kind of guy you

1002
00:54:53,440 --> 00:54:58,080
Speaker 1: could get seriously disarming. You like that, looking to stop looking? Yo,

1003
00:54:58,239 --> 00:55:01,880
Speaker 1: that's good for my wallet, because that's what. Oh, I

1004
00:55:02,000 --> 00:55:06,439
Speaker 1: forgot my wallet, my favorite First you be looking for me.

1005
00:55:07,719 --> 00:55:09,440
Speaker 1: I've done that before. You know, on a date. You

1006
00:55:09,480 --> 00:55:14,719
Speaker 1: forgot your wallet? Oh you lost your Oh shit, I

1007
00:55:14,760 --> 00:55:16,759
Speaker 1: can't believe I forgot my wallet. You can't say oh

1008
00:55:16,760 --> 00:55:18,600
Speaker 1: shit like that, Miles. You said oh it before you

1009
00:55:18,640 --> 00:55:20,879
Speaker 1: even started patting your pocket. I can see you. That's

1010
00:55:20,920 --> 00:55:23,680
Speaker 1: not good. The devil knows their own like you have to.

1011
00:55:23,760 --> 00:55:28,080
Speaker 1: I'm not like, because you just said you did it,

1012
00:55:28,320 --> 00:55:31,160
Speaker 1: I don't know. Look, it's a comedy show. That's a bit.

1013
00:55:32,239 --> 00:55:37,279
Speaker 1: That's not a big guys. Luckily scams you got the

1014
00:55:37,719 --> 00:55:40,560
Speaker 1: Hey people, don't don't put it out there like that.

1015
00:55:40,719 --> 00:55:44,600
Speaker 1: A good guy. Hey, what is that? I'm also mad

1016
00:55:44,640 --> 00:55:48,480
Speaker 1: at Paul Man. That's my scam, right, Well, for that

1017
00:55:48,520 --> 00:55:50,960
Speaker 1: was supposed to be for women. I mean, look, I

1018
00:55:50,960 --> 00:55:52,680
Speaker 1: guess some people are out there going, duh, that's good

1019
00:55:52,719 --> 00:55:55,520
Speaker 1: for y'all. Women need to start doing that. Just go

1020
00:55:56,480 --> 00:55:58,480
Speaker 1: just scam. I showed up to the day. You don't

1021
00:55:58,480 --> 00:56:00,960
Speaker 1: have to wear makeup. You know much makeup coss Okay,

1022
00:56:01,280 --> 00:56:04,640
Speaker 1: I paid already. I know a lot of dudes who

1023
00:56:05,719 --> 00:56:08,800
Speaker 1: feel like they have girls that they're seeing on these apps,

1024
00:56:08,880 --> 00:56:12,560
Speaker 1: who are just using them for free meals. Like that

1025
00:56:12,640 --> 00:56:14,239
Speaker 1: was some I did someone in college like that. I

1026
00:56:14,280 --> 00:56:16,600
Speaker 1: did this volleyball player. Oh my god. I was like,

1027
00:56:16,840 --> 00:56:18,839
Speaker 1: I loved her and she would only hit me up

1028
00:56:18,840 --> 00:56:20,879
Speaker 1: to eat. It was always she would be like, oh,

1029
00:56:20,880 --> 00:56:22,359
Speaker 1: what's up. I'm like, oh, yeah, you want to kid.

1030
00:56:22,480 --> 00:56:24,759
Speaker 1: She's like, yeah, I'm hungry. You hungry? And I'm like

1031
00:56:25,200 --> 00:56:27,000
Speaker 1: and then we're always eating. And then I remember one

1032
00:56:27,040 --> 00:56:28,759
Speaker 1: time I was like, I brought it up. I was like,

1033
00:56:29,080 --> 00:56:31,319
Speaker 1: why do we always eat? Like when we're doing this,

1034
00:56:31,400 --> 00:56:33,520
Speaker 1: she got so defensive, and I was like, that's when

1035
00:56:33,520 --> 00:56:36,799
Speaker 1: I realized, don't know, why do you always eat? Yeah, well, guys,

1036
00:56:36,840 --> 00:56:38,480
Speaker 1: if you want to know the chicks into you, like,

1037
00:56:38,600 --> 00:56:40,319
Speaker 1: I don't know, take the business to the park, go

1038
00:56:40,680 --> 00:56:44,000
Speaker 1: walk on the beach. That's cute. And on the first

1039
00:56:44,080 --> 00:56:46,040
Speaker 1: day you're not drounded me, but she got her meals.

1040
00:56:46,120 --> 00:56:47,960
Speaker 1: We can go to a park during the daytime. It's

1041
00:56:47,960 --> 00:56:53,600
Speaker 1: got so much fresh off. That's not bad. But when

1042
00:56:53,640 --> 00:56:56,759
Speaker 1: you're in college, you were store and you and you're

1043
00:56:56,800 --> 00:56:59,160
Speaker 1: slinging bags on the side to get a Brookstone sound machine.

1044
00:56:59,320 --> 00:57:01,719
Speaker 1: You don't have the you don't have to spend. And

1045
00:57:01,840 --> 00:57:05,760
Speaker 1: at that point I sat through some pretty rough dates

1046
00:57:05,840 --> 00:57:10,120
Speaker 1: because I was like, oh food, and then I'm gone

1047
00:57:10,120 --> 00:57:11,880
Speaker 1: back out with the mcghinna. I was like, you know,

1048
00:57:12,400 --> 00:57:14,520
Speaker 1: I don't like you, but I am. He's like, you

1049
00:57:14,520 --> 00:57:17,160
Speaker 1: gotta understand Lacy about Info wars is. Alex Jones does

1050
00:57:17,240 --> 00:57:19,760
Speaker 1: have a point. I dated. I went out with a

1051
00:57:19,800 --> 00:57:22,160
Speaker 1: guy who literally asked me if I knew what app

1052
00:57:22,240 --> 00:57:23,320
Speaker 1: was because he was trying to tell me what he

1053
00:57:23,360 --> 00:57:25,400
Speaker 1: did because he was retired. He was like, oh, I'm

1054
00:57:25,440 --> 00:57:28,400
Speaker 1: developing an app and I had a blank stare like okay,

1055
00:57:28,440 --> 00:57:31,040
Speaker 1: and you develop an Apple for what? Like you sound

1056
00:57:31,080 --> 00:57:32,840
Speaker 1: like you're lying, And he was like, oh, do you

1057
00:57:32,840 --> 00:57:36,080
Speaker 1: not know what an appisode? Know this? Motherfucker? Oyeah? You

1058
00:57:36,520 --> 00:57:40,040
Speaker 1: know what? Do you have a mobile device? And then

1059
00:57:40,040 --> 00:57:41,560
Speaker 1: after that I was just petty. He tried to tell

1060
00:57:41,600 --> 00:57:43,520
Speaker 1: me Iowa wasn't in this wing state. I said, one

1061
00:57:43,520 --> 00:57:46,120
Speaker 1: of the Iowa caucuses. What is that what he told me?

1062
00:57:46,160 --> 00:57:47,400
Speaker 1: He in the politics. I was like, Oh, you just

1063
00:57:47,520 --> 00:57:51,120
Speaker 1: thought I was stupid? Do you know what the blue

1064
00:57:51,120 --> 00:57:53,600
Speaker 1: dogs Democratic? Listen. As soon as he closed the tap,

1065
00:57:53,680 --> 00:57:59,520
Speaker 1: I left sounds trifling. I'm not trifling, guys. I'm looking

1066
00:57:59,520 --> 00:58:02,680
Speaker 1: for a love. You're looking to stop looking. And if

1067
00:58:02,720 --> 00:58:05,320
Speaker 1: people are looking to find you, where can they find you? Yes,

1068
00:58:05,840 --> 00:58:09,200
Speaker 1: you can find me on Instagram and Twitter, same hands all.

1069
00:58:09,240 --> 00:58:11,960
Speaker 1: We got a brand going over here, Diva Lacey. That's

1070
00:58:12,040 --> 00:58:15,840
Speaker 1: d I V A l A c I um. We

1071
00:58:15,880 --> 00:58:18,960
Speaker 1: can also see the at U c B on Amati

1072
00:58:19,120 --> 00:58:23,439
Speaker 1: Mama and on a Harold team Leave Roy, and there's

1073
00:58:23,440 --> 00:58:25,240
Speaker 1: a few other places. I can't tell you what you'll

1074
00:58:25,280 --> 00:58:27,880
Speaker 1: be able to see me yet. Next time, next next,

1075
00:58:28,000 --> 00:58:32,000
Speaker 1: I'm very excited for you. I'm genuinely yeah, that's exciting time.

1076
00:58:32,160 --> 00:58:33,840
Speaker 1: And it's not like as soon as he's might go off,

1077
00:58:33,840 --> 00:58:38,360
Speaker 1: I'm gonna press you to tell me anyway. Yes me,

1078
00:58:38,720 --> 00:58:40,720
Speaker 1: you can find me at Miles of Gray on Twitter

1079
00:58:40,840 --> 00:58:43,320
Speaker 1: and Instagram. You can find me at Jack Underscore O'Brien

1080
00:58:43,360 --> 00:58:45,760
Speaker 1: on Twitter. You can find us at Daily's Like Guys

1081
00:58:45,800 --> 00:58:47,920
Speaker 1: on Twitter, where at d Daily's like Guys on Instagram.

1082
00:58:48,000 --> 00:58:50,880
Speaker 1: We have Facebook fan page and a website, Dailies like

1083
00:58:50,920 --> 00:58:53,000
Speaker 1: Guys dot Com, where we post our episodes and ire

1084
00:58:53,080 --> 00:58:57,200
Speaker 1: but we link off to the information in the episode

1085
00:58:57,240 --> 00:58:59,440
Speaker 1: that we talked about today. Uh, and we also link

1086
00:58:59,480 --> 00:59:01,720
Speaker 1: off to the on we ride out on miles. What's

1087
00:59:01,720 --> 00:59:03,760
Speaker 1: that gonna be there today? Okay? Well, because we're talking

1088
00:59:03,800 --> 00:59:05,960
Speaker 1: on with Korea and I was trying to find world peace,

1089
00:59:06,520 --> 00:59:08,920
Speaker 1: I wanted to play a track by the group Warpaint

1090
00:59:09,840 --> 00:59:14,440
Speaker 1: Lovely Band uh fromm Yeah, they're most they're La based ladies.

1091
00:59:14,680 --> 00:59:18,000
Speaker 1: Uh my goodness. This song is called set your Arms Down,

1092
00:59:18,280 --> 00:59:19,800
Speaker 1: because that's what all we're trying to do is set

1093
00:59:19,800 --> 00:59:22,360
Speaker 1: our arms down and just find peace. We don't need

1094
00:59:22,400 --> 00:59:24,440
Speaker 1: to be aiming things at each other. We don't need

1095
00:59:24,440 --> 00:59:26,560
Speaker 1: to be aiming the mobile phones at each other to

1096
00:59:26,600 --> 00:59:28,720
Speaker 1: call nine one one because I'm just trying to return

1097
00:59:28,800 --> 00:59:33,720
Speaker 1: something at target. Okay, anyway, please love each other, set

1098
00:59:33,760 --> 00:59:36,440
Speaker 1: your arms down, and you know, keep somebody hug today.

1099
00:59:37,560 --> 00:59:40,760
Speaker 1: But ask them first, guys, Yeah, yeah, yeah, fellas ask

1100
00:59:40,840 --> 00:59:43,360
Speaker 1: them first, all right, we're gonna write out on that.

1101
00:59:43,440 --> 00:59:46,400
Speaker 1: We will be back tomorrow because it is a daily podcast.

1102
00:59:46,400 --> 01:00:12,280
Speaker 1: Talk to you guys by oh he stayed to night.

1103
01:00:14,960 --> 01:00:29,720
Speaker 1: We bring poker, okankners. You find me, you want to

1104
01:00:30,480 --> 01:00:46,920
Speaker 1: find for godencent of me. See your seal bay and

1105
01:00:47,200 --> 01:00:57,320
Speaker 1: to we want to fire. My love is your first

1106
01:00:57,440 --> 01:01:09,440
Speaker 1: love life. They find me, they want to find for

1107
01:01:10,000 --> 01:01:58,920
Speaker 1: by time sent to me. See so walk way to

1108
01:01:59,400 --> 01:04:06,200
Speaker 1: get b say w's born to chill, Sad said s