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Speaker 1: People who are like rooting against the Dodgers have a

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Speaker 1: have a sense of dread.

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Speaker 2: Yeah, every write up I've read because I'm obviously I'm

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Speaker 2: I'm mentally ill, so I only see the Dodgers winning

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Speaker 2: anything down You're in La Sport, But yeah, I'm it's like,

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Speaker 2: my mom is so fucking sad. All the old Japanese

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Speaker 2: women in my life are fucking partying like they're so

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Speaker 2: ready for this world series because they just it's a

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Speaker 2: new era, it's a new time.

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Speaker 1: They like this Otani guy. They think he's pretty good.

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Speaker 2: They think he might be up to something.

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Speaker 1: Big prediction from Victor the Dodgers are gonna win the

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Speaker 1: Super Bowl. Also, Hello the Internet, and welcome to season

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Speaker 1: four eleven, episode three of Dead Alley's Guys, a production

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Speaker 1: of iHeartRadio. This is a podcast where we take a

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Speaker 1: deep dive into America's shared consciousness. And it's Wednesday, October

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Speaker 1: twenty second.

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Speaker 2: Yeah, twenty twenty five. Yes, you know what it is?

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Speaker 1: Yes?

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Speaker 2: Ten two good buddy National Tavern Style Pizza Day. Shout

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Speaker 2: out to Chicago Wins too. We're talking about wake what

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Speaker 2: is our pizza? Is it deep dish? Is it tavern style? Pizza.

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Speaker 2: We don't know. It's also a National Make a Dog's Day.

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Speaker 2: It's National Medical Assistance Recognition Day, National Color Day, National

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Speaker 2: Nut Day.

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Speaker 1: Shout out to the nuts out there if you know.

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Speaker 1: Is this a head of November or this is just

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Speaker 1: like no, this is purely for the enjoyment.

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Speaker 2: Of things like pecans, almonds, cash pistatios.

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Speaker 1: When we went camping with my kids school last weekend

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Speaker 1: and I put together a pound and a half of

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Speaker 1: trail mix, and I have a pound and a half

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Speaker 1: of trail mix left over.

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Speaker 2: Wait that you thought the kids are gonna like as

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Speaker 2: a tree nut?

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Speaker 1: I probably a pound in a quarter. There were a

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Speaker 1: few of them, but it was way too much trail

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Speaker 1: mix that I put together. So I'm just working. I'm like,

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Speaker 1: no dinner tonight, do trail mix?

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Speaker 2: What a household?

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Speaker 1: I missed the apostphos and make a Dog's Day, I've

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Speaker 1: been I've been working all morning and failing. I have

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Speaker 1: not been able to make a dog but hey, hey,

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Speaker 1: we're working on it.

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Speaker 2: Keep trying.

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Speaker 1: My name is Jack O'Brien aka. I want my thong

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Speaker 1: to have American with a little string up my butt,

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Speaker 1: baby baby. That one courtesy of snarfula on the discord,

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Speaker 1: snarfula like anytime I do a semi charm kind of

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Speaker 1: life aka this asshole thing that hey, you're killing it.

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Speaker 1: Snarfula of course, in reference to the latest American technology

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Speaker 1: introduced by Kim Kardashian sold out in minutes. That is

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Speaker 1: no hypothetical. I want my thong too. That is apparently

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Speaker 1: was on a lot of people's minds. Shout out to

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Speaker 1: Kim Kardashian and Miles, who coined the phrase the Edison

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Speaker 1: of Americans. Thrilled to be joined as always by my

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Speaker 1: co host, mister Miles grad Yes.

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Speaker 2: The Proud Angelina, the Lord of Lancasham, the Valley's very owned,

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Speaker 2: the showgun with no gun. It's Miles, it's me. It's Miles.

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Speaker 2: It's Miles. Great to be here, Great to be here.

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Speaker 2: It's things are feeling buoyant kind of in the city. Yeah,

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Speaker 2: you know, you know that just a lot of Dodger

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Speaker 2: the Dodger energy is swirling in northeast Los Angeles. He's

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Speaker 2: Los Angeles area, and it's it's nice to see. It's

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Speaker 2: nice to see.

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Speaker 1: Wheneverody's coming out. Yeah, yeah, Miles, we are thrilled to

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Speaker 1: be joined in our third seat today by a Washington

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Speaker 1: Post investigative journalist whose new book, co authored with Fatima Jamalpur,

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Speaker 1: was just long listed for the twenty twenty five National

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Speaker 1: Book Awards for Nonfiction. It's called for the Sun After

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Speaker 1: Long Nights, the story of the Iran's women led Uprising.

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Speaker 1: Please welcome, Nilo to Breeze.

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Speaker 2: Hi. Hey, Hey, how you doing. I'm welcome, welcome, welcome

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Speaker 2: to the show.

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Speaker 3: Thank you so much for having me, thank you.

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Speaker 1: For being here.

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Speaker 2: We have we've We've done it again, Jack, We've brought

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Speaker 2: on somebody I know, it's so much smarter than us.

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Speaker 1: Who I know. I like to just frontload the songs

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Speaker 1: about mercans. So it's just like clear right up from you,

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Speaker 1: you're talking to idiots. Well you really appreciate you coming on.

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Speaker 1: Congratulations on the book for the awards that I'm sure

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Speaker 1: soon to follow. But yeah, what what are you doing

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Speaker 1: on this podcast? And I'm just doing. We're thrilled to

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Speaker 1: have you. Where are you coming to us from.

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Speaker 3: I'm coming to you from Brooklyn, New York.

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Speaker 1: Bokay, and I've heard of it.

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Speaker 2: Yes, yes, I'm aware. I'm savvy. I'm savvy. What's the

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Speaker 2: I mean the every time someone has a book coming out,

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Speaker 2: and I was like, how exhausted are you?

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Speaker 3: I am exhausted, but very excited, Like it's it's it's

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Speaker 3: been you know, two years of putting this together and

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Speaker 3: seeing this out world. This is like probably the closest

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Speaker 3: I'm coming to this moment is like this is my

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Speaker 3: child right now, so I like seeing her take her

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Speaker 3: first steps. It's very exciting. And I also told my friends.

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Speaker 3: I was like, if I ever want to write a

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Speaker 3: book again, like you have to stop me. It's a

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Speaker 3: hard process. And like while I'm like really excited talking

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Speaker 3: about the book with people, I'm still working, like I

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Speaker 3: still doing my day job and also right now working

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Speaker 3: on a proposal for a second book. So my friends

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Speaker 3: really show up. I don't know I need all new friends.

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Speaker 3: I think this is what's clear.

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Speaker 2: You just told them to say, slap the book out

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Speaker 2: of my hand. If I'm trying to write it, get

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Speaker 2: it away from absolutely.

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Speaker 3: Yeah. Is it?

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Speaker 2: Is it a similar subject matter? Are you kind of

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Speaker 2: like in you don't have to reveal anything, but are

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Speaker 2: you trying to do something different or you found sort

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Speaker 2: of a lane that you kind of feel really good

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Speaker 2: about writing.

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Speaker 3: Yeah, I mean, I love reporting and writing on Iran.

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Speaker 3: It's such a it's just such an honor to be

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Speaker 3: able to platform voices from inside my country. And it's

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Speaker 3: you know, like doing this work you run means that

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Speaker 3: I can't return, so it's it's a really nice way

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Speaker 3: to keep a connection and to again platform voices. So

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Speaker 3: it'll be about Iran again.

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Speaker 1: Yeah.

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Speaker 2: Yeah.

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Speaker 1: So I've made similar pacts with my friends in the

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Speaker 1: past where it was like, never let me do that again.

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Speaker 1: It was not about writing books though, that's and they

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Speaker 1: were similarly bad at stopping me. So but I am

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Speaker 1: impressed that you're like, guys, you gotta stop me. I'm

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Speaker 1: too prolific. I was books.

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Speaker 3: I was like, I need to sleep, like at some point,

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Speaker 3: like I need to be put down for a nap,

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Speaker 3: and no one is stopping me.

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Speaker 2: So it's tough. All right.

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Speaker 1: Well, we're thrilled to have you. We're going to get

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Speaker 1: to know you a little bit better in a moment. First,

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Speaker 1: we're going to tell the listeners a couple of things

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Speaker 1: we're going to be talking about. We're going to talk

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Speaker 1: about citizen journalism, which is part of the story of

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Speaker 1: your book, and how your book came together, and what

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Speaker 1: you think the role of citizen journalism can be in

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Speaker 1: these United States? That there are some people who think

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Speaker 1: that there's also an authoritarian vibe happening over here. I

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Speaker 1: don't know what they're talking about, but yeah, like, what

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Speaker 1: is the role of citizen journalism in an authoritarian government?

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Speaker 2: We'll talk about era with like consolidation around mainstream media,

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Speaker 2: where yeah, very I think, yeah, I'm gonna get ahead

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Speaker 2: of myself and think it's probably very important, but I'm

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Speaker 2: obviously nilo will.

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Speaker 1: Okay, thank you. We're gonna talk about Lindsay Halligan and

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Speaker 1: her understanding of journalism. This is the US attorney who

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Speaker 1: used to be a insurance lawyer and then met Trump

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Speaker 1: at a party and he was like, you're here now

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Speaker 1: in charge of very important shit, and just her understanding

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Speaker 1: of how journalism works. We'll talk about ICE and their

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Speaker 1: greatest adversary, fifteen push ups. Yeah, that seems to be

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Speaker 1: a real stumbling block for ICE right now, so we'll

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Speaker 1: talk about that. We'll talk about Donald. Have you guys

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Speaker 1: heard about this Donald trumpka. We'll talk about his unpopularity

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Speaker 1: and also his bragging about surviving an assassination at a

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Speaker 1: ceremony honoring someone who was killed in an assassination. Yeah,

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Speaker 1: that was interesting. On all of that plenty more. We

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Speaker 1: might even get into some citizen journalism that happened around

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Speaker 1: the All Bald screening of Them at Stone's Newest movie.

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Speaker 1: So there is some hard hitting citizen journalism happening.

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Speaker 2: We contain multitudes all of.

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Speaker 1: That plenty more. But first, Nila, we do like to

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Speaker 1: ask our guest, what is something from your search history

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Speaker 1: that's revealing about who you are? Well?

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Speaker 3: I think I went through and looked at my tabs,

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Speaker 3: of which in my phone I had seventy six, so

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Speaker 3: that's first of all. But my most recent one was

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Speaker 3: I was looking up miniatures of Persian paintings. These were

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Speaker 3: like huge, very ornate paintings from fourteenth seventeenth century. But

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Speaker 3: I was looking at them because I use this visual

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Speaker 3: to pitch a music video to this artist that I

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Speaker 3: really wanted to work with, So you know I did.

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Speaker 3: This is my on the side project is making those

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Speaker 3: music videos like.

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Speaker 2: The coolest shit. You're like, yeah, and I'm like making

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Speaker 2: music videos or whatever. Whatever.

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Speaker 3: You know, somebody stopped me. I'm so tired.

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Speaker 1: Too many fucking cool projects that are working on. Are

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Speaker 1: you a fan of maniatures broadly? Is this something that

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Speaker 1: just like kind of popped up for this particular project.

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Speaker 3: I think they're really beautiful. So they're like full page illustrations,

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Speaker 3: really detailed. Sometimes they can even look like a dollhouse,

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Speaker 3: like if you cut an apartment in half and you

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Speaker 3: can see all the rooms. And these were really ornate,

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Speaker 3: like yeah, they show poetry, they show gatherings, they're really detailed,

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Speaker 3: and I just thought they were really cool. And there's

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Speaker 3: this Iranian American musician named na Ro and she makes

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Speaker 3: all types of music like Spanish language music, Persian language,

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Speaker 3: English language, and I said to hers, like, I think

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Speaker 3: this would be a cool way to do culture with

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Speaker 3: a music video for you that isn't like something very

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Speaker 3: on the nose or yeah. Yeah, but they're interesting, Like

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Speaker 3: I love Persian poetry and they use these very old,

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Speaker 3: beautiful style of artwork to illustrate it. So yeah, very cool.

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Speaker 1: I went to a museum one time in New York

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Speaker 1: City that had this okay, break, give it. Yeah.

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Speaker 2: I go to.

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Speaker 1: Museums occasionally in New York City, usually bored to tears,

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Speaker 1: but this one had this thing called the nutshell studies

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Speaker 1: of Unexplained Death. Have you guys heard of that? It's

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Speaker 1: just like all these crime scenes that are like re

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Speaker 1: enacted with miniatures. I was like, oh shit, cool, Like

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Speaker 1: art can be so fun for the seven year old

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Speaker 1: in me. But this artist, Francis Glesner, who lived from

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Speaker 1: eighteen seventy eight to nineteen sixty two, I'm not looking

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Speaker 1: that up. I just remember all of this from my

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Speaker 1: trip to the museum twenty years ago, was just obsessed with,

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Speaker 1: you know, recreating crime scenes, and it was it was dope.

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Speaker 3: And now we have true crime docuseries.

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Speaker 1: Exactly who was on that ship?

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Speaker 3: Ye?

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Speaker 2: Yeah?

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Speaker 1: What is something you think is underrated?

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Speaker 3: New York City public buses? Okay? Is it going to

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Speaker 3: take you forty five minutes to take a bus where

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Speaker 3: it could take you fifteen minutes in an uber? Absolutely?

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Speaker 3: Or you know, are you spending ten extra minutes taking

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Speaker 3: a bus instead of a subway?

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Speaker 2: Yes?

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Speaker 3: But like I want to be above ground? Dare I

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Speaker 3: want to see sunlight?

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Speaker 1: You know?

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Speaker 3: Do I do? I want to be on a bus

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Speaker 3: at three pm when teens it's like after school and

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Speaker 3: there's teen drama. I want all of these things.

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Speaker 1: Yeah, I thought you were going to say, no, hell yeah,

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Speaker 1: that sounds amazing.

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Speaker 2: What kind of drama, like are you like overhearing? Just

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Speaker 2: like little.

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Speaker 3: Headphones on it's paused like I am listening, it's on

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Speaker 3: transparency mode.

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Speaker 2: It's like I'm gonna actually turn up on the hearing

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Speaker 2: aid to magnify the sound.

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Speaker 3: I'm just sitting closer and they're like, help, there's an

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Speaker 3: old woman Europe. But no, just like drama over texting

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Speaker 3: someone back and snap chatting someone. It's very It's just

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Speaker 3: like it's nice and it's missing, is yeahful? And also

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Speaker 3: New York teens are all very cool and so I'm

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Speaker 3: very interested in them. Like a couple summers ago, a

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Speaker 3: New York team said something to me so cutting like

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Speaker 3: I was vaping sorry on a bench reading the Paris

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Speaker 3: Review Highs and lows. Damn, and these like teens like

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Speaker 3: cool cargo shorts, crop tops walk by me without even looking.

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Speaker 3: They just imagine vaping in twenty twenty two, which is

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Speaker 3: so wow, like like that it really it really hurt.

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Speaker 3: Immediately threw my lost Mary away and I was like

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Speaker 3: I can't. I can't behave like this anymore. So it's

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Speaker 3: just like they're cool.

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Speaker 1: Were they smoking a pipe like Sherlock Holmes, Like, what

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Speaker 1: was there?

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Speaker 3: They have like a year of a mate?

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Speaker 1: What's cool with the teens? I was only vaping because

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Speaker 1: I thought it made me look like a teenager.

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Speaker 3: Literally, I was like, I wonder why these youths think

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Speaker 3: this is cool. So, yeah, teen culture, It's like they're

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Speaker 3: just cool than us. I'm very interested in what they're

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Speaker 3: up to, right, And so.

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Speaker 1: You're one of those sunlight sickos. You like the sunlight, huh,

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Speaker 1: instead of underground with just roller coaster grease and terrible smells.

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Speaker 3: It's like, there's a time and a place for a subway,

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Speaker 3: and then there's really a time and place for the bus,

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Speaker 3: and I think the bus is underrated.

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Speaker 2: Give me okay, So, as somebody, I visit New York

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Speaker 2: a lot, I've never lived there. I'm pretty I'm pretty

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Speaker 2: familiar with the city. But just from your perspective, when

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Speaker 2: is the time for bus and when is the time

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Speaker 2: for subway?

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Speaker 1: Cross town? Yeah?

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Speaker 3: Like, if I'm well, if I'm going to Manhattan, obviously

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Speaker 3: it's time for a subway, right, Like I'm going to

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Speaker 3: zip there? What am I really going to see? You know?

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Speaker 3: There's one subway that even goes over abridge and I

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Speaker 3: get this like experience that I'm looking towards cool. But

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Speaker 3: if I'm in Brooklyn and I'm trying to get to

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Speaker 3: different neighborhoods, I'm going to take a bus and it's

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Speaker 3: going to take me longer, and I'm going to factor

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Speaker 3: in an extra half an hour, but I just know

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Speaker 3: I'm going to get cool joy, Like there's something more stimulating.

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Speaker 1: Sure, yes, yes, you don't like riding the bus for

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Speaker 1: the Brooklyn Bridge with a look of whimsical awe on

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Speaker 1: your face with a piece of hay in the corner

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Speaker 1: of your mouth like in every movie onceone, No.

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Speaker 3: Because like that's giving traffic And if I want that

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Speaker 3: over bridge vibe, I'm taking the J train. Yeah, the

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Speaker 3: J train.

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Speaker 1: Yeah. There's also rumors that the socialist soon to be

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Speaker 1: mayor of New York wants to make buses free. Did

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Speaker 1: you see that, Like some right wing guy was like

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Speaker 1: riding the bus before it becomes like free and like

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Speaker 1: full of homeless people, And people are like, dude, you

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Speaker 1: first of all, you've never ridden life.

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Speaker 2: But that's what I think, That's what it makes me

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Speaker 2: think of. Gross.

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Speaker 1: What is something Nilo that you think is overrated.

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Speaker 3: O wea s. I don't think this is going to

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Speaker 3: play with either of you as you have short hair

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Speaker 3: under hats, but a dice in air wrap no hair

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Speaker 3: under hats, so sorry, no hair. So sorry that I

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Speaker 3: did that was how could I you knew?

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Speaker 2: You knew this is okay?

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Speaker 3: I was like, maybe it's a one. Maybe he got

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Speaker 3: a one, like I don't.

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Speaker 2: Know, you know, it's like it's all tight on the

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Speaker 2: side of all these long hairtypes there.

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Speaker 3: Actually maybe he wants to be free, Like who am

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Speaker 3: I to judge? But a Dyson air rapp it's like

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Speaker 3: five hundred bucks for a multi tool hair dryer, Like

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Speaker 3: we are getting scammed. I don't understand. Yes, it's a

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00:15:23,400 --> 00:15:26,280
Speaker 3: it's a multi again, this is like the cult of

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Speaker 3: dyce In I blame TikTok, but it's like a five

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Speaker 3: hundred it's five hundred dollars and it has all these

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Speaker 3: attachments and it can do these. I don't know, like

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Speaker 3: it just doesn't make sense to me. I did have

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Speaker 3: access to one at like a like a you know,

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Speaker 3: forty dollars a class pilates cult that I went to,

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Speaker 3: and there was one after and I was like, let

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Speaker 3: me see and it made no sense. I was like,

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Speaker 3: this is not what we should be spending five hundred

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Speaker 3: dollars for.

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Speaker 2: Man, that's so what does it do?

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Speaker 3: It can takes your wet hair, you can make it

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Speaker 3: straight without having to like dry it and then use

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Speaker 3: a tool like there are some uses five hundred dollars crazy.

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Speaker 1: No, it's crazy. No, no, no, no, a multi tool

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Speaker 1: hair care.

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Speaker 2: It just helps with curls. Oh, it must be nice.

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Speaker 2: It must be nice, Victor, must be nice, Victor. Yeah,

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Speaker 2: that doesn't resonate with me at all. I have my

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Speaker 2: dice in hair wrap every morning to get ready for

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Speaker 2: this recording, and then it works.

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Speaker 1: That's why I got the hat on.

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Speaker 2: It's a mess. Miles when we looked like shit, yeah

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Speaker 2: to a five hundred dollars.

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Speaker 3: I mean, like we see.

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Speaker 2: I felt like, did the hair dryer need to do

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Speaker 2: more than just blow out the hot air and then

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Speaker 2: you kind of use the tools around it to kind

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Speaker 2: of I don't think so.

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Speaker 3: I think we're getting scammed. It's like, you know what

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00:16:44,400 --> 00:16:47,400
Speaker 3: else helps with curls to shout out your front is

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00:16:47,440 --> 00:16:50,400
Speaker 3: like get a diffuser. That's a thirty dollars attachment. We're

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00:16:50,400 --> 00:16:52,160
Speaker 3: helping the curls that way like we don't need to

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Speaker 3: we don't need to live like this, right right, right.

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Speaker 2: Yeah, makes sense enough, dice dice in enough.

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Speaker 1: I can't think of dycing with that. Isn't that? Isn't

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Speaker 1: that one of the names of the characters and predator.

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Speaker 2: No, it's the name of the dude who invented skynet,

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Speaker 2: Ah Dyson, Miles.

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Speaker 1: I just knew that I had Arnold, saying Miles Dyson,

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Speaker 1: he created se skyn it.

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Speaker 2: All right, let's take a quick break.

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Speaker 1: We'll be right back.

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Speaker 2: And we're back. We're back, and.

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Speaker 1: Nilo, your book is about so many things. The revolution

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Speaker 1: launched by women, oftentimes very young women and girls to

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Speaker 1: push back against the brutality and gender apartheid that has

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Speaker 1: been instituted by Iran's authoritarian government. It's also about citizen journalism.

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Speaker 1: Can you talk about the story of the revolution, first

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Speaker 1: of all, like what happened three years ago, and also

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Speaker 1: the role of citizen journalism in reporting it?

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Speaker 3: Yeah, absolutely so. In September twenty twenty two, a young

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Speaker 3: woman named message Gina Emini was stopped by the morality

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Speaker 3: police allegedly for improperly wearing hijob. She's Kurdish. She's from

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Speaker 3: the Kurdish province and she was visiting the capital. We

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Speaker 3: don't know exactly what that interaction looked, like a lot

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Speaker 3: of women in Iran like it's a daily thing to

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Speaker 3: be harrassed by the morality police. Like when you meet

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Speaker 3: your friend at a cafe, the first question you ask

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00:18:23,280 --> 00:18:25,919
Speaker 3: each other is kessy girdad, Like did anyone harrass you

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Speaker 3: or stop you on your way? It's just like daily life,

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Speaker 3: right yeah. And then the next thing that we see, like,

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Speaker 3: and this is really the image that incensed the world,

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Speaker 3: is that we saw Gina lying unconscious in a hospital bed.

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Speaker 3: This was after she was in the custody of the

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Speaker 3: morality police. Like it looked like she was beaten, you know,

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Speaker 3: within an inch of her life. Her face is puffy,

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Speaker 3: Like I can still see the image and feel it

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Speaker 3: when I think about it. Her face is puffy, there's

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Speaker 3: tubes coming out of her face, she has dried blood

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Speaker 3: on her ears. It was horrifying, and I think, like

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Speaker 3: once that image was shared and this was again shared

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Speaker 3: by a source at the hospital, spread everywhere because this

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Speaker 3: harassment is a future of daily life, Like so many

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Speaker 3: women and so many Iranians could see themselves in what

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00:19:07,040 --> 00:19:10,760
Speaker 3: happened to Gina. She eventually succumbed to her injury. She

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Speaker 3: died and immediately there were protests outside the hospital, there

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00:19:14,920 --> 00:19:17,640
Speaker 3: were protests at the funeral. Like from there, it's spread

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Speaker 3: and we really have everything to thank to reporters for this.

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Speaker 3: So there was a citizen journalist named Saja A cloudat

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Speaker 3: Kaomi who's based outside of Iran, and he was the

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Speaker 3: first person on his Instagram story to alert the world

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Speaker 3: to what was happening. There were reporters there as well,

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Speaker 3: like two other reporters that we really owe, you know,

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00:19:36,119 --> 00:19:38,320
Speaker 3: our knowledge of this too, our new fah Hamadi and

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Speaker 3: Alajei Mohammadi. These are two Iranian reporters based in the

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Speaker 3: country working for major outlets. But they were under pressure

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Speaker 3: while they were at the hospital to not report, like

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00:19:47,440 --> 00:19:49,359
Speaker 3: the authority said to them, if you start reporting on

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00:19:49,400 --> 00:19:51,400
Speaker 3: this like this could be a lot of trouble, right,

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Speaker 3: So immediately the pressure was there. But once that image

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00:19:53,840 --> 00:19:56,840
Speaker 3: was out, the movement spread and this movement and yeah,

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Speaker 3: it grew and it went. It was it's the largest,

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Speaker 3: the most widespread protests movement in the Islamic Republic's history.

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Speaker 3: And again, like we the citizen journalists really helped us

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00:20:07,480 --> 00:20:10,080
Speaker 3: in understanding what the protests looked like on the ground,

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Speaker 3: because it's so difficult to do reporting in the country, right,

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Speaker 3: Like the Washington Post hasn't had anyone based in Iran

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Speaker 3: since my colleague Jason Razaian was in prison there for

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Speaker 3: over two years. The New York Times didn't have a

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Speaker 3: correspondent there as well, and so, and if you're foreign

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Speaker 3: media going to report in Iran, it's very difficult. There's

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Speaker 3: a lot of restrictions, you're constantly minded, and then journalists

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Speaker 3: who are Iranian and based there, like every day is

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Speaker 3: harassment for them. And so when we're seeing stories about

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Speaker 3: protests and what it looks like, what it looked like

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Speaker 3: when authorities were very violent protesters on the streets, that

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00:20:43,640 --> 00:20:45,879
Speaker 3: was because people who were on the ground in that

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Speaker 3: moment were filming it, sending it to citizen journalists and

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Speaker 3: it was being spread. And so the way a lot

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Speaker 3: of video is shared in Iran is through the app Telegram,

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Speaker 3: and Telegram can be pretty safe for people because you

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Speaker 3: can make these like one time use accounts and send

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Speaker 3: them and you can send them to a Citizen Journalist channel,

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00:21:02,920 --> 00:21:05,359
Speaker 3: which will have like five hundred thousand subscribers and it'll

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00:21:05,400 --> 00:21:08,760
Speaker 3: spread from there and yeah, so essentially like this is

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Speaker 3: this is the way that everything gets shared. So it's

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Speaker 3: really we have everything to thank to people who are

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Speaker 3: brave enough to document the atrocities that were happening to

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Speaker 3: Iranian people and taking the risk to send it to

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Speaker 3: citizen journalists who amplified it to the rest of the world.

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Speaker 1: Yeah, those first acts of citizen journalism? Is it? You know,

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Speaker 1: you said that these are citizen journalists who were able

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Speaker 1: to do that?

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Speaker 2: Is it?

438
00:21:29,880 --> 00:21:34,240
Speaker 1: Just like were they thinking of themselves as citizen journalists before?

439
00:21:34,400 --> 00:21:36,679
Speaker 1: Were they just people who happened to be there and

440
00:21:36,800 --> 00:21:41,160
Speaker 1: like shared the image Like how whoa what were what

441
00:21:41,200 --> 00:21:44,800
Speaker 1: were those first acts of citizen journalism looking like?

442
00:21:45,320 --> 00:21:47,399
Speaker 3: Yeah, so some of these accounts have been around for

443
00:21:47,440 --> 00:21:50,160
Speaker 3: a long time, and I've been able to make relationships

444
00:21:50,160 --> 00:21:53,040
Speaker 3: with some of these channel administrators and so these people

445
00:21:53,119 --> 00:21:56,560
Speaker 3: had been documenting, you know, protests in twenty nineteen, they'd

446
00:21:56,560 --> 00:22:00,119
Speaker 3: been documenting things like there was a port explosion in

447
00:22:00,119 --> 00:22:02,560
Speaker 3: one of your on southern ports this year. Like anything

448
00:22:02,600 --> 00:22:05,520
Speaker 3: that's shared people really share on social media. So It's

449
00:22:05,520 --> 00:22:08,959
Speaker 3: like this is a constant feature of the information ecosystem

450
00:22:09,000 --> 00:22:09,439
Speaker 3: in Iran.

451
00:22:10,320 --> 00:22:10,719
Speaker 2: Got it?

452
00:22:11,280 --> 00:22:16,560
Speaker 1: And now some people say that the United States is

453
00:22:16,600 --> 00:22:19,720
Speaker 1: in the early stage of an authoritarian takeover of the

454
00:22:19,760 --> 00:22:24,160
Speaker 1: government and media, particularly people who've witnessed authority and takeover

455
00:22:24,359 --> 00:22:27,800
Speaker 1: authoritarian takeovers of governments before. Like we've talked before about

456
00:22:27,920 --> 00:22:31,960
Speaker 1: m Guessen from The New Yorker, who seems to be saying, Yeah,

457
00:22:31,960 --> 00:22:35,159
Speaker 1: this is all happening right on schedule. This is like

458
00:22:35,200 --> 00:22:37,880
Speaker 1: exactly what it felt like when Putin took over. Can

459
00:22:37,920 --> 00:22:41,760
Speaker 1: you talk about the role of citizen journalism in the

460
00:22:41,880 --> 00:22:46,000
Speaker 1: US today, Like, you know, it's somewhat nascent, but like

461
00:22:46,320 --> 00:22:49,280
Speaker 1: what role do you think citizen journalism could play and

462
00:22:49,359 --> 00:22:50,879
Speaker 1: should play going forward?

463
00:22:51,280 --> 00:22:53,639
Speaker 3: Yeah, I mean people who are there on the ground,

464
00:22:53,760 --> 00:22:57,080
Speaker 3: are documenting events in real time, Like I cover Black

465
00:22:57,119 --> 00:22:59,520
Speaker 3: Lives Matter protests in the US in twenty twenty, and

466
00:23:00,080 --> 00:23:02,840
Speaker 3: you know, citizen journalists, which can even be as simple

467
00:23:02,880 --> 00:23:07,439
Speaker 3: as uploading videos to x Instagram. Just being able to

468
00:23:07,480 --> 00:23:10,800
Speaker 3: collect a record of what happened is incredibly important. So

469
00:23:10,880 --> 00:23:13,359
Speaker 3: like in twenty twenty, when we were covering BLM protests

470
00:23:13,359 --> 00:23:16,960
Speaker 3: in Philadelphia, we were able to prove using visual documentation

471
00:23:17,359 --> 00:23:20,920
Speaker 3: that the Philly police violated their own rules for when

472
00:23:20,960 --> 00:23:23,159
Speaker 3: and how to use tear gas. So it can be

473
00:23:23,240 --> 00:23:27,040
Speaker 3: incredibly important because these pieces of video, like it's so precious,

474
00:23:27,080 --> 00:23:29,560
Speaker 3: Like any piece of video is a documentation, right, Like

475
00:23:29,600 --> 00:23:33,080
Speaker 3: if the government is saying ICE agents aren't doing any harm,

476
00:23:33,280 --> 00:23:35,879
Speaker 3: but you have people that are documenting this, right and

477
00:23:36,200 --> 00:23:39,080
Speaker 3: we can verify that you know, where it was filmed,

478
00:23:39,200 --> 00:23:41,320
Speaker 3: that it is of the current moment. Like, all of

479
00:23:41,359 --> 00:23:45,600
Speaker 3: these visuals can be incredibly incredibly important for future accountability

480
00:23:45,720 --> 00:23:46,919
Speaker 3: or even right in that moment.

481
00:23:47,680 --> 00:23:52,000
Speaker 1: Yeah. Yeah, even like up to ICE protests and like

482
00:23:52,320 --> 00:23:55,600
Speaker 1: it seems like they have gone not literally mask off,

483
00:23:55,720 --> 00:23:59,879
Speaker 1: but in terms of like organizationally just they're shooting people

484
00:24:00,080 --> 00:24:03,720
Speaker 1: a face with you know, non lethal roalds that are

485
00:24:03,960 --> 00:24:07,760
Speaker 1: cracking people's skulls, and like trying to think back at

486
00:24:07,880 --> 00:24:12,160
Speaker 1: the documentation of those things, it's all citizen journalism. It's

487
00:24:12,160 --> 00:24:15,119
Speaker 1: all just people who are there close by, recording on

488
00:24:15,160 --> 00:24:18,080
Speaker 1: their phone. And then eventually, you know, I was able

489
00:24:18,080 --> 00:24:23,400
Speaker 1: to watch a recreation of an act of ice abuse

490
00:24:23,960 --> 00:24:27,000
Speaker 1: that was completely reconstructed on the front page of the

491
00:24:27,000 --> 00:24:29,320
Speaker 1: New York Times, all from just like people who are

492
00:24:29,359 --> 00:24:32,840
Speaker 1: around recording on their phone, which it feels like more

493
00:24:32,880 --> 00:24:36,360
Speaker 1: and more. That's one of the last things that we have.

494
00:24:37,200 --> 00:24:39,600
Speaker 3: Yeah, I mean, like what you're describing is something that

495
00:24:39,640 --> 00:24:42,920
Speaker 3: we call open source reporting, where we look at all

496
00:24:42,960 --> 00:24:45,480
Speaker 3: these pieces of information that are there, Like we use

497
00:24:45,840 --> 00:24:49,119
Speaker 3: satellite imagery to look at the level of destruction to

498
00:24:49,240 --> 00:24:52,440
Speaker 3: Gaza's agriculture, for example, and we did this in twenty

499
00:24:52,480 --> 00:24:54,800
Speaker 3: twenty three. It's like, all these pieces of information that

500
00:24:54,840 --> 00:24:56,639
Speaker 3: are there, and what can we do with it? So

501
00:24:56,680 --> 00:24:59,720
Speaker 3: it's like incredibly important because you can, you know, if

502
00:24:59,760 --> 00:25:02,600
Speaker 3: you go to protest, a regular story might be here

503
00:25:02,640 --> 00:25:05,720
Speaker 3: the merits, here's someone who is here protesting this. Here's

504
00:25:05,720 --> 00:25:07,840
Speaker 3: what someone on the other side says. But once you

505
00:25:07,880 --> 00:25:10,560
Speaker 3: have visual evidence that shows you know, police use of

506
00:25:10,640 --> 00:25:14,560
Speaker 3: force h if you're you know, using less lethal rounds

507
00:25:14,560 --> 00:25:17,280
Speaker 3: but in a very very close proximity, like those often

508
00:25:17,359 --> 00:25:20,840
Speaker 3: will go against the use guidelines of the specific less

509
00:25:20,920 --> 00:25:23,280
Speaker 3: lethal round. Right, So all of these pieces of evidence

510
00:25:23,320 --> 00:25:25,399
Speaker 3: are super important.

511
00:25:24,880 --> 00:25:28,240
Speaker 2: Is there? I think? Yeah? To that end, right, open

512
00:25:28,280 --> 00:25:31,800
Speaker 2: source sort of material out there helps put like sort

513
00:25:31,840 --> 00:25:35,639
Speaker 2: of demystify or really bring out the truth in things

514
00:25:35,640 --> 00:25:37,800
Speaker 2: because you always get sort of like the state's version

515
00:25:37,840 --> 00:25:39,560
Speaker 2: of events and then the people on the ground, and

516
00:25:39,600 --> 00:25:41,560
Speaker 2: then you kind of have to have a reckoning based

517
00:25:41,600 --> 00:25:43,800
Speaker 2: on what you can gather. Is there a way like

518
00:25:43,840 --> 00:25:46,480
Speaker 2: people should be thinking because something all the time we

519
00:25:46,560 --> 00:25:48,600
Speaker 2: just have a reflex I think, especially in this age

520
00:25:48,600 --> 00:25:51,200
Speaker 2: of social media, to just get your phone out, especially

521
00:25:51,240 --> 00:25:55,160
Speaker 2: when there's buckery unfolding in front of you. Is there

522
00:25:55,160 --> 00:25:57,639
Speaker 2: a way for people to think, Okay, like, is it

523
00:25:58,240 --> 00:26:00,600
Speaker 2: this thing I took? What do I do with it now?

524
00:26:00,680 --> 00:26:02,840
Speaker 2: Rather than just maybe text it to other people like, Yo,

525
00:26:02,880 --> 00:26:04,480
Speaker 2: this shit got crazy over here, like this is a

526
00:26:04,560 --> 00:26:07,399
Speaker 2: video I took. Is there a way that people should

527
00:26:07,440 --> 00:26:09,520
Speaker 2: be thinking about this and what their role is in

528
00:26:09,600 --> 00:26:12,440
Speaker 2: documenting these things? Because again, this is this is fairly

529
00:26:12,520 --> 00:26:15,760
Speaker 2: new for American people to having to be like, I'm

530
00:26:15,840 --> 00:26:18,919
Speaker 2: having to see all these sort of abuses unfold. But

531
00:26:19,119 --> 00:26:22,000
Speaker 2: in an era of cameras on every single cell phone,

532
00:26:22,359 --> 00:26:24,880
Speaker 2: how should you know, Like, what's our role in thinking

533
00:26:24,880 --> 00:26:27,320
Speaker 2: about that as people who are trying to be people

534
00:26:27,359 --> 00:26:29,600
Speaker 2: of good faith in this country to try and document

535
00:26:29,640 --> 00:26:32,440
Speaker 2: the kinds of things that would potentially, you know, maybe

536
00:26:32,440 --> 00:26:34,640
Speaker 2: correct some wrongs, right, I.

537
00:26:34,600 --> 00:26:37,719
Speaker 3: Mean, any visual documentation that you have, send it to

538
00:26:37,720 --> 00:26:40,359
Speaker 3: me on signal I will take a look at it. No,

539
00:26:40,480 --> 00:26:43,479
Speaker 3: But really it's about keeping the material that you if

540
00:26:43,480 --> 00:26:46,199
Speaker 3: there's an important moment in there, being able to save it,

541
00:26:46,440 --> 00:26:48,560
Speaker 3: archive it, keep it in a place that's not just

542
00:26:48,680 --> 00:26:50,959
Speaker 3: your phone. Something happens to your phone, it gets, you know,

543
00:26:51,040 --> 00:26:54,280
Speaker 3: crack the next day. That's really important. Saving the metadata.

544
00:26:54,720 --> 00:26:56,880
Speaker 3: That's something that we always look for. So when you

545
00:26:56,920 --> 00:26:58,600
Speaker 3: take an image or video and you look in your

546
00:26:58,600 --> 00:27:01,360
Speaker 3: camera role often it'll say if you have location services

547
00:27:01,440 --> 00:27:04,800
Speaker 3: enabled exactly where it was filmed. That really helps open

548
00:27:04,800 --> 00:27:07,239
Speaker 3: source investigators. We can plot it on a map and

549
00:27:07,240 --> 00:27:10,680
Speaker 3: be able to say, oh, okay, this window that Jack filmed,

550
00:27:10,720 --> 00:27:12,680
Speaker 3: you can see it in satellite imagery. We feel very

551
00:27:12,680 --> 00:27:14,760
Speaker 3: confident that it's up this moment and if there's a

552
00:27:14,840 --> 00:27:17,639
Speaker 3: date and time. That again is really helpful to us

553
00:27:17,640 --> 00:27:19,919
Speaker 3: because we can feel like this is a piece of

554
00:27:20,000 --> 00:27:23,240
Speaker 3: video that we can easily verify, so keeping it, archiving

555
00:27:23,280 --> 00:27:25,879
Speaker 3: it and then being able to get it out to

556
00:27:25,960 --> 00:27:29,399
Speaker 3: people like me who are open source reporters looking at

557
00:27:29,400 --> 00:27:31,360
Speaker 3: different stories in this world every day.

558
00:27:31,560 --> 00:27:33,560
Speaker 2: Right, because I feel like that even happened with ice

559
00:27:33,800 --> 00:27:37,280
Speaker 2: agents like in Illinois, where they were basically lying about

560
00:27:37,560 --> 00:27:39,960
Speaker 2: some like an event where they threw a child down

561
00:27:40,040 --> 00:27:42,359
Speaker 2: on the ground and like, oh, that's like old and

562
00:27:42,480 --> 00:27:45,600
Speaker 2: like no, here's another video of that same agent basically,

563
00:27:45,800 --> 00:27:48,600
Speaker 2: and you can we can tell from the metadata this

564
00:27:48,720 --> 00:27:51,280
Speaker 2: is very much that day and like they had to suddenly,

565
00:27:51,680 --> 00:27:53,720
Speaker 2: I mean, they just they did not necessarily own up

566
00:27:53,760 --> 00:27:55,120
Speaker 2: to it, but it was sort of one of those

567
00:27:55,119 --> 00:27:58,040
Speaker 2: moments where that sort of line of lying about the

568
00:27:59,000 --> 00:28:01,720
Speaker 2: activity of ICE agents will sort of just dispelled through.

569
00:28:02,320 --> 00:28:05,360
Speaker 3: Yeah, it's super important because you know, regular police departments

570
00:28:05,400 --> 00:28:08,359
Speaker 3: will wear police cameras as reporters. Sometimes we can file

571
00:28:08,440 --> 00:28:10,840
Speaker 3: information requests from the department to try to get it.

572
00:28:11,920 --> 00:28:13,639
Speaker 3: They may not give it to us for certain reasons,

573
00:28:13,680 --> 00:28:16,159
Speaker 3: they may take a long time. When it's federal agents,

574
00:28:16,160 --> 00:28:19,640
Speaker 3: it becomes even more complicated to request that video. So

575
00:28:19,800 --> 00:28:22,879
Speaker 3: it makes it even more important for people to be

576
00:28:22,920 --> 00:28:25,080
Speaker 3: documenting whatever they're seeing in their communities.

577
00:28:25,359 --> 00:28:29,760
Speaker 1: Yeah. Yeah, Like I think, you know, there's a lot

578
00:28:29,800 --> 00:28:34,320
Speaker 1: of bad news and the authoritarian creep is real. I

579
00:28:34,400 --> 00:28:37,720
Speaker 1: do think that there's a story of like that, all

580
00:28:37,800 --> 00:28:40,200
Speaker 1: of that citizen journalism, all of those things we've seen

581
00:28:40,320 --> 00:28:45,000
Speaker 1: from the streets is work, like is reaching people. Like

582
00:28:45,080 --> 00:28:50,160
Speaker 1: Trump's approval rating on immigration is down from a plus eleven,

583
00:28:50,760 --> 00:28:54,600
Speaker 1: like more eleven percent more people approve than disapproved to

584
00:28:54,880 --> 00:28:58,480
Speaker 1: minus three point two, and like obviously that's not nearly

585
00:28:58,520 --> 00:29:02,000
Speaker 1: negative enough, but it is is the thing that he's

586
00:29:02,000 --> 00:29:05,920
Speaker 1: going to be like kind of riding on coming into

587
00:29:05,960 --> 00:29:09,520
Speaker 1: the White House and like that it feels like people

588
00:29:09,880 --> 00:29:13,640
Speaker 1: you know, by because his policy is basically foregrounding the

589
00:29:13,640 --> 00:29:18,200
Speaker 1: cruelty and you know, also being terrible at execution and

590
00:29:18,240 --> 00:29:20,400
Speaker 1: like you know, finding the people that are looking for

591
00:29:20,440 --> 00:29:24,480
Speaker 1: and instead just like harming innocent people. Like people seem

592
00:29:24,560 --> 00:29:27,360
Speaker 1: to be getting off board. So I mean, it does

593
00:29:27,520 --> 00:29:31,360
Speaker 1: seem like a weapon that's being exercised, and that probably

594
00:29:31,520 --> 00:29:34,520
Speaker 1: just needs to be more and more foundational to how

595
00:29:34,560 --> 00:29:36,840
Speaker 1: we interact with this regime.

596
00:29:37,680 --> 00:29:40,720
Speaker 2: I have a question, what's what are the rules when

597
00:29:40,720 --> 00:29:43,320
Speaker 2: you're trying to go off the record? You know, do

598
00:29:43,360 --> 00:29:46,840
Speaker 2: you what do you have?

599
00:29:47,080 --> 00:29:48,080
Speaker 3: Like what is happening?

600
00:29:48,440 --> 00:29:52,520
Speaker 2: No? No, no, not me personally, because I'm just this friend.

601
00:29:53,080 --> 00:29:57,320
Speaker 2: I have a friend, let's call him Donald t Okay,

602
00:29:57,600 --> 00:29:59,200
Speaker 2: that's d Trump.

603
00:29:59,400 --> 00:29:59,760
Speaker 1: There you go.

604
00:30:00,320 --> 00:30:02,560
Speaker 2: No, but I you sort of use this as a

605
00:30:02,600 --> 00:30:05,880
Speaker 2: segue because we are such like it's good to know

606
00:30:06,040 --> 00:30:12,200
Speaker 2: obviously journalism is so foundational to being able to counteract

607
00:30:12,440 --> 00:30:14,880
Speaker 2: the sort of propaganda that comes out of the government

608
00:30:15,000 --> 00:30:18,160
Speaker 2: and bad faith actors that are in orbit of the administration.

609
00:30:18,760 --> 00:30:23,240
Speaker 2: And just this story that came up today about Lindsay Halligan,

610
00:30:23,680 --> 00:30:26,200
Speaker 2: it just sort of a lot of it revolves around

611
00:30:26,240 --> 00:30:29,120
Speaker 2: this idea that this person, also this woman, Lindsay Halligan,

612
00:30:29,160 --> 00:30:33,120
Speaker 2: has no idea what that means to go off the record,

613
00:30:33,720 --> 00:30:36,560
Speaker 2: and that was a very flippant way to segue into

614
00:30:36,640 --> 00:30:41,960
Speaker 2: the next story. But this there's just something very tragic

615
00:30:42,320 --> 00:30:46,240
Speaker 2: and upsetting that we are being having our rights trampled

616
00:30:46,280 --> 00:30:50,120
Speaker 2: by the most inept, ignorant people that this administration could

617
00:30:50,120 --> 00:30:52,160
Speaker 2: possibly find potentially fortunate.

618
00:30:52,400 --> 00:30:52,560
Speaker 3: You know.

619
00:30:52,640 --> 00:30:55,240
Speaker 1: Yeah, we've talked about the concept of designed and competence.

620
00:30:55,280 --> 00:30:59,080
Speaker 1: That he surrounds himself with fools because they will be

621
00:30:59,200 --> 00:31:04,200
Speaker 1: grateful for the appointment and also by consequence bad at

622
00:31:04,200 --> 00:31:06,280
Speaker 1: their jobs. Yeah, that's kind of nice.

623
00:31:06,480 --> 00:31:11,280
Speaker 2: So, you know, unknown insurance lawyer turned US attorney Lindsay

624
00:31:11,280 --> 00:31:13,360
Speaker 2: Halligan has now she's like sort of the tip of

625
00:31:13,360 --> 00:31:17,280
Speaker 2: the spear in terms of Trump's legal retaliation against his ops.

626
00:31:17,800 --> 00:31:20,720
Speaker 2: She's never prosecuted a case before and has never held

627
00:31:20,720 --> 00:31:23,080
Speaker 2: a job like of this kind. So it makes sense

628
00:31:23,120 --> 00:31:25,840
Speaker 2: that she truly know nothing about how anything works when

629
00:31:25,880 --> 00:31:29,440
Speaker 2: you're a federal prosecutor. But this story sort of centers

630
00:31:29,480 --> 00:31:32,320
Speaker 2: around this Lee reporter from law Fair and a Bauer

631
00:31:32,640 --> 00:31:35,840
Speaker 2: who reached out to Halligan to talk about this sham

632
00:31:35,880 --> 00:31:39,920
Speaker 2: indictment of Letitia James, and Halligan ended up blurting out

633
00:31:39,920 --> 00:31:44,040
Speaker 2: shit about grand jury materials, which sounds like a big

634
00:31:44,080 --> 00:31:47,480
Speaker 2: no no as a federal prosecutor, and you know, also

635
00:31:47,640 --> 00:31:50,320
Speaker 2: just generally complaining to Bauer about like her coverage. I

636
00:31:50,400 --> 00:31:54,880
Speaker 2: just want to read how like these conversations were unfolding again,

637
00:31:54,960 --> 00:31:58,120
Speaker 2: She's reaching out to a US attorney about a sham

638
00:31:58,200 --> 00:32:01,640
Speaker 2: indictment of another attorney general or of the Attorney General

639
00:32:01,680 --> 00:32:06,000
Speaker 2: of New York, and she's she apparently was complaining to

640
00:32:06,040 --> 00:32:07,840
Speaker 2: Bower about like, I think your facts are wrong. I

641
00:32:07,880 --> 00:32:10,520
Speaker 2: just want to help you out. I just want to

642
00:32:10,560 --> 00:32:12,400
Speaker 2: help you out, Like I just want to help you out,

643
00:32:12,480 --> 00:32:15,440
Speaker 2: give you a tip, a heads up. She said, I quote,

644
00:32:15,560 --> 00:32:20,080
Speaker 2: I can't tell you grand jury stuff just written in

645
00:32:20,080 --> 00:32:23,520
Speaker 2: their chats. I can't tell you grand jury stuff. And

646
00:32:23,560 --> 00:32:27,280
Speaker 2: she's like, okay, that's fine. But she the reporter was

647
00:32:27,320 --> 00:32:30,480
Speaker 2: pushing back, essentially saying that like the reason they're prosecuting

648
00:32:30,520 --> 00:32:33,040
Speaker 2: Letitia James is that, like she was, she was charging

649
00:32:33,080 --> 00:32:35,320
Speaker 2: people rent for this property that she didn't even live in.

650
00:32:35,840 --> 00:32:38,840
Speaker 2: And you know, this journalist is like, based on the

651
00:32:38,880 --> 00:32:40,840
Speaker 2: materials that are out there, that doesn't seem to be

652
00:32:40,880 --> 00:32:43,760
Speaker 2: the case. Like, she only collected rents rent once and

653
00:32:43,800 --> 00:32:45,360
Speaker 2: it was in like one of the like you know,

654
00:32:45,400 --> 00:32:47,360
Speaker 2: sort of like the lower brackets of between one and

655
00:32:47,400 --> 00:32:51,400
Speaker 2: five thousand dollars. So once that happened, Halligan lost it.

656
00:32:51,520 --> 00:32:54,760
Speaker 2: Quote this is what she says to Annabauer. Quote, you're biased,

657
00:32:54,800 --> 00:32:57,120
Speaker 2: Your reporting isn't accurate. I'm the one handling the case,

658
00:32:57,160 --> 00:32:59,040
Speaker 2: and I'm telling you that if you want to twist,

659
00:32:59,040 --> 00:33:01,880
Speaker 2: in torture the facts to fit your narrative, there's nothing

660
00:33:01,920 --> 00:33:04,240
Speaker 2: I can do. It's a waste to even give you

661
00:33:04,280 --> 00:33:08,640
Speaker 2: a heads up. So, like I'm assuming as a journalist.

662
00:33:08,760 --> 00:33:11,600
Speaker 2: You then asked the Department of Justice, Hey, what do

663
00:33:11,600 --> 00:33:14,480
Speaker 2: you think about this conversation I had with this US attorney?

664
00:33:14,960 --> 00:33:18,400
Speaker 2: This was their response. They were so petulant that she

665
00:33:19,000 --> 00:33:22,200
Speaker 2: deigned to ask about this conversation. They said, quote, good

666
00:33:22,280 --> 00:33:24,400
Speaker 2: luck ever getting anyone to talk to you when you

667
00:33:24,400 --> 00:33:28,760
Speaker 2: publish their texts. Is what the DOJ's response in terms

668
00:33:28,800 --> 00:33:32,680
Speaker 2: of her conversation with Halligan, and then basically, this is

669
00:33:32,680 --> 00:33:35,280
Speaker 2: what happened. Quote this is from The New Republic. Later,

670
00:33:35,360 --> 00:33:38,000
Speaker 2: Halligan texted Bauer again to insist they had been speaking

671
00:33:38,080 --> 00:33:41,600
Speaker 2: off record. Quote You're not a journalist, so it's weird

672
00:33:41,640 --> 00:33:42,600
Speaker 2: saying that, but just.

673
00:33:42,600 --> 00:33:45,800
Speaker 1: Letting you know. And this is how they said. Good

674
00:33:45,880 --> 00:33:48,320
Speaker 1: luck ever getting anyone to text you again. And then

675
00:33:48,400 --> 00:33:51,400
Speaker 1: like as she's reading that, her bumb blows up with

676
00:33:51,480 --> 00:33:54,120
Speaker 1: another text from the same one from Halligan.

677
00:33:55,040 --> 00:33:57,440
Speaker 2: It's weird, but just letting you know this how Bout replied, quote,

678
00:33:57,480 --> 00:34:00,000
Speaker 2: I'm sorry, but that's not how this works. You don't

679
00:34:00,200 --> 00:34:04,280
Speaker 2: get to say that in retrospect. Halligan responded, yes, I do.

680
00:34:04,600 --> 00:34:05,280
Speaker 2: Off record.

681
00:34:08,120 --> 00:34:11,000
Speaker 3: Yeah, that was a tough exchange to read, because it's like,

682
00:34:11,280 --> 00:34:14,200
Speaker 3: if a journalist is coming to you and publicly identifying

683
00:34:14,200 --> 00:34:16,520
Speaker 3: themselves as a reporter and reaching out to you for this,

684
00:34:16,760 --> 00:34:19,640
Speaker 3: the assumption is it's on the record. It's off the record.

685
00:34:19,680 --> 00:34:21,719
Speaker 3: When you and I both agree and I can sent

686
00:34:21,800 --> 00:34:24,040
Speaker 3: to you before we start the off the record portion,

687
00:34:24,239 --> 00:34:26,400
Speaker 3: this is off the record, right, And I'll have conversations

688
00:34:26,400 --> 00:34:29,600
Speaker 3: with sources where we're chatting and he'll they will say

689
00:34:29,760 --> 00:34:31,680
Speaker 3: this is off the record, Okay, we'll chat about it,

690
00:34:31,719 --> 00:34:33,440
Speaker 3: and then I'll say I'd like to go back on

691
00:34:33,480 --> 00:34:36,400
Speaker 3: the record now great, like you just it's all about

692
00:34:36,400 --> 00:34:39,160
Speaker 3: being transparent so that everyone's aware. But yeah, you can't

693
00:34:39,400 --> 00:34:42,360
Speaker 3: coming after and saying well, that was off the record,

694
00:34:42,640 --> 00:34:47,520
Speaker 3: like that's that's not typically how a source interaction goes.

695
00:34:47,800 --> 00:34:50,680
Speaker 1: Yes, why I the thing that you're putting in your

696
00:34:50,680 --> 00:34:53,520
Speaker 1: book that's already out for publishing was off the record.

697
00:34:53,920 --> 00:34:54,960
Speaker 1: I've just decided to.

698
00:34:56,280 --> 00:35:00,239
Speaker 2: Do that retroactor. Yes, I can off the record, off

699
00:35:01,200 --> 00:35:05,120
Speaker 2: off record this, Yes, I do, Yes, I do off record?

700
00:35:05,440 --> 00:35:09,319
Speaker 2: There what this is? Bowers are like, well, I'm really sorry.

701
00:35:09,320 --> 00:35:11,160
Speaker 2: I would have been happy to speak with you on

702
00:35:11,239 --> 00:35:14,280
Speaker 2: an on an off the record basis had you asked,

703
00:35:14,280 --> 00:35:16,200
Speaker 2: but you didn't ask, and I still haven't agreed to

704
00:35:16,239 --> 00:35:18,800
Speaker 2: speak on that basis. Do you have any further comment

705
00:35:18,880 --> 00:35:22,120
Speaker 2: for the story? And then this is what I responds, quote,

706
00:35:22,360 --> 00:35:25,920
Speaker 2: it's obvious the whole combo is off record, there's disappearing messages,

707
00:35:25,960 --> 00:35:28,640
Speaker 2: and it's on signal. What is your story? You never

708
00:35:28,640 --> 00:35:32,640
Speaker 2: told me about a story? Why did you think I a.

709
00:35:32,800 --> 00:35:36,240
Speaker 1: Journalist reached out to you and asked you for comment

710
00:35:36,719 --> 00:35:43,319
Speaker 1: on a story. Yeah, story, Yeah, yeah, so not it's

711
00:35:43,360 --> 00:35:44,680
Speaker 1: all the story bullshit.

712
00:35:45,360 --> 00:35:48,279
Speaker 2: You never told me about a story, it's it's the

713
00:35:48,520 --> 00:35:52,080
Speaker 2: subject matter we were discussing in our conversation, Like.

714
00:35:52,160 --> 00:35:55,960
Speaker 3: Signal, disappearing messages. It's like, I just use you know

715
00:35:56,000 --> 00:35:59,080
Speaker 3: a lot of people use signal for non purposes or.

716
00:35:59,080 --> 00:36:01,280
Speaker 2: Like people why signal?

717
00:36:01,560 --> 00:36:06,440
Speaker 3: You know, allegedly allegedly they do all the record that.

718
00:36:06,480 --> 00:36:10,080
Speaker 2: Is off the record, off the record go.

719
00:36:10,000 --> 00:36:14,319
Speaker 3: On and like disappearing messages, like why would I you know,

720
00:36:14,360 --> 00:36:16,240
Speaker 3: I have a friend who will in her eye message

721
00:36:16,280 --> 00:36:19,440
Speaker 3: This is when I'm like, you are unwell conversations that

722
00:36:19,520 --> 00:36:22,080
Speaker 3: have nothing to journalism. She'll finish a conversation with her

723
00:36:22,080 --> 00:36:24,319
Speaker 3: mom and she'll wipe it. I'm like, what what are

724
00:36:24,320 --> 00:36:26,239
Speaker 3: you doing? She's like, well, I just it's just like

725
00:36:26,520 --> 00:36:30,680
Speaker 3: good digital security, everything gets breached. And meanwhile, I'm like, oh,

726
00:36:30,719 --> 00:36:33,320
Speaker 3: so I shouldn't have text change from twenty sixteen on

727
00:36:33,360 --> 00:36:35,799
Speaker 3: my phone? Like is this a bad idea? It's just

728
00:36:35,840 --> 00:36:39,000
Speaker 3: like people do these for all types of purposes. Yeah,

729
00:36:39,200 --> 00:36:41,600
Speaker 3: it's like, let's just be transparent.

730
00:36:41,719 --> 00:36:43,560
Speaker 2: You have text change from twenty sixteen on your phone,

731
00:36:43,560 --> 00:36:46,560
Speaker 2: so I have mine goes back to twenty sixteen. Actually

732
00:36:47,040 --> 00:36:49,440
Speaker 2: that's when I started saving everything. I don't know why

733
00:36:49,480 --> 00:36:51,520
Speaker 2: I have like a I'm like a weird text hoarder.

734
00:36:52,200 --> 00:36:54,600
Speaker 3: I am too, Like I'll be on a flight and

735
00:36:54,680 --> 00:36:57,920
Speaker 3: I'm like, oh, like what about this nostalgic time and

736
00:36:58,000 --> 00:37:00,319
Speaker 3: this year? Like I'm a nostalgic for a moment ended

737
00:37:00,320 --> 00:37:01,920
Speaker 3: two minutes ago. I don't know why I like this.

738
00:37:02,560 --> 00:37:05,360
Speaker 3: So yeah, memories, memorial nice.

739
00:37:06,480 --> 00:37:07,680
Speaker 2: It's for posterity sake.

740
00:37:07,800 --> 00:37:11,960
Speaker 1: Yeah, all right, let's get back to Trump's morality. Police

741
00:37:12,360 --> 00:37:15,880
Speaker 1: ICE who you know, They've They've been making a lot

742
00:37:15,960 --> 00:37:20,360
Speaker 1: of headlines doing horrific shit, and the Trump administration is

743
00:37:20,400 --> 00:37:24,799
Speaker 1: doing everything they can to add more ICE officers, including

744
00:37:25,040 --> 00:37:30,080
Speaker 1: expanding the age eligibility, condensing training from thirteen weeks to eight,

745
00:37:30,800 --> 00:37:35,879
Speaker 1: reducing Spanish classes and firearms courses in classroom instruction. That

746
00:37:36,400 --> 00:37:39,080
Speaker 1: seems bad because they seem to not know how to

747
00:37:39,160 --> 00:37:42,120
Speaker 1: operate the firearms that they are being right now with.

748
00:37:42,360 --> 00:37:42,800
Speaker 2: Yeah.

749
00:37:42,960 --> 00:37:45,359
Speaker 3: Yeah, I saw this video too of the New York

750
00:37:45,400 --> 00:37:48,000
Speaker 3: Times reporter Hammed He went on a ride along with

751
00:37:48,080 --> 00:37:51,000
Speaker 3: Chicago with ICE in Chicago, and one of the ICE

752
00:37:51,040 --> 00:37:52,960
Speaker 3: agents said to him like, yeah, like we like being

753
00:37:52,960 --> 00:37:56,440
Speaker 3: out here like we're adrenaline junkies. Like, so hearing that

754
00:37:56,640 --> 00:37:59,800
Speaker 3: and then hearing the training being scaled.

755
00:37:59,440 --> 00:38:03,000
Speaker 2: Back, yeah we got I mean, we've had to even

756
00:38:03,000 --> 00:38:05,040
Speaker 2: scale back the Fourth Amendment stuff. We were trying to

757
00:38:05,040 --> 00:38:07,520
Speaker 2: tell them about about seizures and searches and stuff, but

758
00:38:07,920 --> 00:38:09,239
Speaker 2: we had to get that out of the way because

759
00:38:09,280 --> 00:38:12,200
Speaker 2: none of these people can do anything physical.

760
00:38:13,719 --> 00:38:17,520
Speaker 1: Yeah, it seems bad that they're motivated by being adrenaline

761
00:38:17,600 --> 00:38:20,560
Speaker 1: junkies and also a fifty thousand dollars signing bonus, and

762
00:38:20,600 --> 00:38:22,120
Speaker 1: so it's just right.

763
00:38:22,200 --> 00:38:24,319
Speaker 2: It's if you make it right. It's like, right, you

764
00:38:24,360 --> 00:38:27,200
Speaker 2: get the fifty if you can make it out right, right.

765
00:38:27,360 --> 00:38:30,719
Speaker 1: Yeah. Which, so, even after scaling back the requirements, the

766
00:38:30,760 --> 00:38:34,239
Speaker 1: agency has one big problem, and that is that their

767
00:38:34,239 --> 00:38:37,759
Speaker 1: new officers aren't passing the mandatory fitness test. It was

768
00:38:37,840 --> 00:38:40,520
Speaker 1: recently reported that so many new recruits are out of

769
00:38:40,560 --> 00:38:43,040
Speaker 1: shape that more than a third of them have failed

770
00:38:43,040 --> 00:38:46,759
Speaker 1: the fitness test, in which they must do fifteen push ups,

771
00:38:47,400 --> 00:38:51,160
Speaker 1: thirty two sit ups, and run one point five miles

772
00:38:51,200 --> 00:38:56,920
Speaker 1: in fourteen minutes. Okay, okay, that's that seems low.

773
00:38:57,880 --> 00:39:00,800
Speaker 3: I actually can't do any of the activity just described.

774
00:39:00,600 --> 00:39:03,040
Speaker 2: But you're also not trying to brutalize people of color,

775
00:39:03,160 --> 00:39:05,920
Speaker 2: for you're not an Antifa super soldier.

776
00:39:06,239 --> 00:39:08,080
Speaker 3: I know, but I'm like, I should I be able

777
00:39:08,080 --> 00:39:10,200
Speaker 3: to run that amount? Like now I'm kind of questioning

778
00:39:10,280 --> 00:39:11,480
Speaker 3: like my own fitness.

779
00:39:11,239 --> 00:39:15,160
Speaker 2: Because I could do, Like if I'm being like a

780
00:39:15,160 --> 00:39:18,400
Speaker 2: a ten minute mile is pretty casual. So if you

781
00:39:18,440 --> 00:39:21,120
Speaker 2: can keep a ten minute mile pace, you should be

782
00:39:21,160 --> 00:39:22,040
Speaker 2: able to get through.

783
00:39:22,320 --> 00:39:24,000
Speaker 3: These ankles at this age.

784
00:39:24,160 --> 00:39:24,680
Speaker 1: I don't know.

785
00:39:24,960 --> 00:39:25,560
Speaker 2: You got we can't.

786
00:39:25,800 --> 00:39:28,880
Speaker 3: That's yeah, I got week what I'm in ballet soccer

787
00:39:29,400 --> 00:39:30,440
Speaker 3: salet exactly.

788
00:39:30,560 --> 00:39:32,680
Speaker 2: Yeah, I've seen it a hundred times. I've seen it

789
00:39:32,680 --> 00:39:34,279
Speaker 2: a hundred times, Nelo. That's why we can't have.

790
00:39:34,280 --> 00:39:40,799
Speaker 3: You off license pt.

791
00:39:36,280 --> 00:39:44,279
Speaker 1: How exactly allegedly. Okay, that was off the record. That

792
00:39:44,360 --> 00:39:46,560
Speaker 1: was off the record. He can give you some off

793
00:39:46,560 --> 00:39:50,040
Speaker 1: the record medical advice. Yes, yes, it's mostly about shrooms,

794
00:39:50,840 --> 00:39:51,560
Speaker 1: but really bad.

795
00:39:51,880 --> 00:39:54,160
Speaker 2: It is wild though to think, because part of me

796
00:39:54,280 --> 00:39:56,240
Speaker 2: was like, damn, fifteen push ups and thirty two setups.

797
00:39:56,239 --> 00:39:58,960
Speaker 2: I'm like, maybe I am an Antifa super soldier you

798
00:39:59,000 --> 00:40:00,839
Speaker 2: think you are, Like that could be if I could

799
00:40:00,840 --> 00:40:03,080
Speaker 2: get fifth, if I can get fifteen push ups out,

800
00:40:03,120 --> 00:40:05,200
Speaker 2: I mean, that's that's my max. Okay, so I know

801
00:40:05,719 --> 00:40:08,840
Speaker 2: I'm just making it probably, but like all of the

802
00:40:08,880 --> 00:40:10,840
Speaker 2: stories talk about how like in the I think The

803
00:40:10,880 --> 00:40:13,360
Speaker 2: Atlantic was the first one to report this. We're talking

804
00:40:13,400 --> 00:40:15,439
Speaker 2: to some of like these ICE officials and like I've

805
00:40:15,560 --> 00:40:18,520
Speaker 2: never seen anything like this. Like there are people that

806
00:40:18,680 --> 00:40:22,440
Speaker 2: ICE were like, this is unreal, the riff raft that

807
00:40:22,800 --> 00:40:25,399
Speaker 2: that's blowing into the academy right now, merely because they're

808
00:40:25,400 --> 00:40:27,920
Speaker 2: trying to meet these quotas. They're even trying to like

809
00:40:28,000 --> 00:40:31,920
Speaker 2: put the physical fitness test earlier in the academy training

810
00:40:32,239 --> 00:40:34,640
Speaker 2: to immediately root out these people, because what they end

811
00:40:34,719 --> 00:40:36,920
Speaker 2: up doing is like they waste all this energy getting

812
00:40:36,920 --> 00:40:38,440
Speaker 2: people up to speed and not know what the Fourth

813
00:40:38,480 --> 00:40:41,120
Speaker 2: Amendment is. Then they get to the physical test part

814
00:40:41,120 --> 00:40:43,719
Speaker 2: and they're like, what the fuck first step of the

815
00:40:43,719 --> 00:40:47,759
Speaker 2: one point five mile run? Yeah, no, they say them.

816
00:40:47,960 --> 00:40:50,960
Speaker 1: They keep getting compound fractures on the first step of

817
00:40:51,000 --> 00:40:52,520
Speaker 1: their one point five mile run.

818
00:40:52,719 --> 00:40:56,920
Speaker 2: Apparently that run is like the great destroyer of a

819
00:40:56,960 --> 00:41:00,520
Speaker 2: lot of these candidates who want to play dress upright shirt.

820
00:41:00,760 --> 00:41:04,000
Speaker 2: So you know, there there's a lot of a lot

821
00:41:04,040 --> 00:41:07,040
Speaker 2: of tension happening at ICE because or even now they're

822
00:41:07,040 --> 00:41:09,680
Speaker 2: like they're saying like, well, we're even now inviting retired

823
00:41:09,880 --> 00:41:12,920
Speaker 2: law enforcement and they don't, but they're saying on the

824
00:41:12,920 --> 00:41:15,719
Speaker 2: condition that they can just self report that their their

825
00:41:15,719 --> 00:41:18,719
Speaker 2: physical fitness levels, because they're just like, fuck, man, if

826
00:41:18,719 --> 00:41:20,280
Speaker 2: we can people awarding.

827
00:41:19,880 --> 00:41:21,960
Speaker 1: The physically Yeah, yeah, I did it. It's good. I'm

828
00:41:22,000 --> 00:41:22,960
Speaker 1: actually really fast.

829
00:41:23,160 --> 00:41:26,360
Speaker 2: Yeah yeah, yeah, I tried to that in like seven minutes.

830
00:41:26,560 --> 00:41:29,439
Speaker 1: Yeah, I'm sitting here laughing. I haven't tried to run

831
00:41:29,480 --> 00:41:32,840
Speaker 1: that mile and a half and fourteen minutes and years.

832
00:41:33,200 --> 00:41:33,399
Speaker 2: Yeah.

833
00:41:33,440 --> 00:41:36,560
Speaker 1: I would, however, be willing to self report that I

834
00:41:36,560 --> 00:41:37,839
Speaker 1: can do it easily, right.

835
00:41:38,280 --> 00:41:40,800
Speaker 3: Yeah, I'm having a meltdown, like I I'm modified in

836
00:41:40,880 --> 00:41:43,000
Speaker 3: plates today, do you know what I mean? Like I can't.

837
00:41:43,400 --> 00:41:44,440
Speaker 3: I can't.

838
00:41:44,719 --> 00:41:49,400
Speaker 1: Is the hardest I've ever done. Like I pilates is

839
00:41:49,480 --> 00:41:51,120
Speaker 1: so fucking hard. It's tough.

840
00:41:51,400 --> 00:41:55,719
Speaker 3: It's like all in there suffering. Also a culture of

841
00:41:55,719 --> 00:41:57,960
Speaker 3: silence because we're all suffering really silently, and they're like

842
00:41:57,960 --> 00:42:00,439
Speaker 3: a man will come and grunt outwardly and we're all

843
00:42:00,520 --> 00:42:03,120
Speaker 3: just like, please keep that to yourself.

844
00:42:04,160 --> 00:42:11,880
Speaker 2: Can't keep knees.

845
00:42:11,880 --> 00:42:12,520
Speaker 3: Cramshell.

846
00:42:12,920 --> 00:42:15,279
Speaker 2: Yeah. The first time I gotten a reformer, I was like,

847
00:42:15,520 --> 00:42:18,200
Speaker 2: how the fuck am I this week like.

848
00:42:19,520 --> 00:42:23,280
Speaker 1: That thing, and just like a unbroken line of sweat

849
00:42:23,400 --> 00:42:26,279
Speaker 1: just started like running off of my nose like it

850
00:42:26,360 --> 00:42:26,840
Speaker 1: was a foster.

851
00:42:27,000 --> 00:42:29,360
Speaker 2: That's why I was doing it for a minute because

852
00:42:29,480 --> 00:42:31,759
Speaker 2: I was so humbled the first time I did. I'm like, Oh,

853
00:42:31,800 --> 00:42:35,279
Speaker 2: this is for real using your body in ways you

854
00:42:35,400 --> 00:42:37,840
Speaker 2: had it Like you're discovering that you can actually strengthen

855
00:42:37,880 --> 00:42:40,040
Speaker 2: parts of your body you didn't know existed.

856
00:42:40,480 --> 00:42:44,240
Speaker 1: Yeah, sore in places on the inside of my body

857
00:42:44,280 --> 00:42:46,440
Speaker 1: that I did not know could be sore, or this

858
00:42:46,560 --> 00:42:50,120
Speaker 1: does track with I remember they were like, remember Dean

859
00:42:50,200 --> 00:42:52,879
Speaker 1: Kane was like, and I'm going to join ICE. And

860
00:42:52,920 --> 00:42:56,800
Speaker 1: then they showed him like going through the ops what

861
00:42:56,800 --> 00:43:01,160
Speaker 1: what appeared to be like a children's plague obstacle course,

862
00:43:01,360 --> 00:43:04,680
Speaker 1: and just like even during the ten seconds that they

863
00:43:04,719 --> 00:43:07,640
Speaker 1: showed the footage of him, he was like ducking thing

864
00:43:07,840 --> 00:43:09,400
Speaker 1: like a thing he was supposed to go over, He

865
00:43:09,560 --> 00:43:12,960
Speaker 1: just like kind of ducked under it, right, Like Yeah,

866
00:43:13,239 --> 00:43:15,680
Speaker 1: there's also that great video that brought to us by

867
00:43:15,680 --> 00:43:19,560
Speaker 1: a citizen journalist of a ten ICE agents who were

868
00:43:19,600 --> 00:43:22,319
Speaker 1: trying to catch a guy who was not on a

869
00:43:22,360 --> 00:43:25,200
Speaker 1: butt like he was off his bike, came over picked

870
00:43:25,239 --> 00:43:26,880
Speaker 1: up something that they didn't want him to pick up.

871
00:43:26,920 --> 00:43:28,600
Speaker 2: He was like, I'm not a US citizen phone.

872
00:43:28,640 --> 00:43:31,080
Speaker 1: Yeah, he was like, I'm not a US citizen and

873
00:43:31,080 --> 00:43:34,640
Speaker 1: then managed to like as ten of them descended on him,

874
00:43:35,160 --> 00:43:39,520
Speaker 1: just like looked like Barry Sanders, like just like completely

875
00:43:39,600 --> 00:43:43,720
Speaker 1: untouched through a crowd of people. Nobody had any chance

876
00:43:43,719 --> 00:43:47,239
Speaker 1: of catching him. As he like went from walking to

877
00:43:47,360 --> 00:43:51,200
Speaker 1: getting on a bike and riding away, they were like, he.

878
00:43:53,480 --> 00:43:56,239
Speaker 2: Just don't cop shit. It was I mean, this is

879
00:43:56,640 --> 00:43:58,600
Speaker 2: I don't know. I mean, like I get again, like

880
00:43:58,760 --> 00:44:03,440
Speaker 2: with the the the uh engineered incompetence, and then just

881
00:44:03,480 --> 00:44:06,759
Speaker 2: seeing the kinds of people that are being attracted by

882
00:44:06,800 --> 00:44:10,359
Speaker 2: the possibility of brutalizing, you know, people who aren't from

883
00:44:10,400 --> 00:44:14,040
Speaker 2: this country. I'm glad that it's not our country's best.

884
00:44:14,239 --> 00:44:17,000
Speaker 2: It's people who are maybe not fully up to the task.

885
00:44:17,080 --> 00:44:19,440
Speaker 2: But again, when you look at the money they're spending

886
00:44:19,480 --> 00:44:23,399
Speaker 2: seven hundred percent increase on like their weapons capabilities now

887
00:44:23,920 --> 00:44:28,680
Speaker 2: like warheads they're they're like they have access to now,

888
00:44:29,000 --> 00:44:31,880
Speaker 2: so who knows me, I guess maybe they'll make up

889
00:44:31,920 --> 00:44:34,479
Speaker 2: for it with like some kind of killer robot ice

890
00:44:34,520 --> 00:44:37,680
Speaker 2: agent or something that Elon must can just design, but

891
00:44:38,200 --> 00:44:39,399
Speaker 2: it doesn't know how to do kung fu.

892
00:44:39,480 --> 00:44:42,279
Speaker 1: Will I take heart in the fact that that's their

893
00:44:42,320 --> 00:44:45,960
Speaker 1: plan to like cut Elon will fix it with his

894
00:44:46,719 --> 00:44:51,080
Speaker 1: fake robot. Yeah yeah, does kung fu like a sixty

895
00:44:51,120 --> 00:44:53,440
Speaker 1: five year old. All right, let's take a quick break.

896
00:44:53,480 --> 00:45:07,719
Speaker 1: We'll be right back, and we're back. We talked on

897
00:45:07,800 --> 00:45:13,960
Speaker 1: yesterday's trending episode about the fact that the extra wing

898
00:45:14,040 --> 00:45:16,279
Speaker 1: of the White House is being built. The ballroom is

899
00:45:16,320 --> 00:45:20,200
Speaker 1: being built, which you know, was one of his great

900
00:45:20,280 --> 00:45:23,480
Speaker 1: moments in you know, being a shoulder for the nation

901
00:45:23,520 --> 00:45:26,760
Speaker 1: to cry on after the assassination of Charlie Kirk. When

902
00:45:26,960 --> 00:45:31,440
Speaker 1: the reporter was like, mister President, your good friend died

903
00:45:31,640 --> 00:45:34,399
Speaker 1: less than twenty four hours ago. How are you holding up?

904
00:45:34,760 --> 00:45:38,640
Speaker 1: He was like, pretty good. Actually, we're building this amazing ballroom.

905
00:45:38,760 --> 00:45:40,680
Speaker 1: You can see over here in case you're wondering why

906
00:45:40,719 --> 00:45:44,759
Speaker 1: those trucks are there, just immediately like moving it along. So,

907
00:45:45,560 --> 00:45:47,600
Speaker 1: you know, took note of that that maybe this guy

908
00:45:47,719 --> 00:45:50,439
Speaker 1: wasn't as broken up about the assassination of Charlie Kirk

909
00:45:50,480 --> 00:45:53,600
Speaker 1: as we all thought, or as he was pretending. I

910
00:45:53,600 --> 00:45:58,840
Speaker 1: don't think anyone actually believes that he has human emotional

911
00:45:58,880 --> 00:46:03,799
Speaker 1: feelings no, probably not, but he again his lack of

912
00:46:04,040 --> 00:46:06,960
Speaker 1: human emotions were on display. At the end of last week,

913
00:46:07,360 --> 00:46:11,880
Speaker 1: he presented Charlie Kirk's widow with a posthumous Presidential Medal

914
00:46:11,880 --> 00:46:15,960
Speaker 1: of Freedom for her deceased husband, and also took that

915
00:46:16,040 --> 00:46:19,320
Speaker 1: moment to like talk about how when someone tried to

916
00:46:19,360 --> 00:46:22,560
Speaker 1: shoot him he dodged the bullet, and like he dodged

917
00:46:22,680 --> 00:46:26,120
Speaker 1: so good, in fact, that her husband, who was later

918
00:46:26,360 --> 00:46:29,239
Speaker 1: not able to dodge an assassin's bullet, couldn't believe it.

919
00:46:29,320 --> 00:46:32,440
Speaker 1: He said, how you do how you do that, which

920
00:46:32,800 --> 00:46:35,600
Speaker 1: clearly is just riffing, but like to bring up your

921
00:46:35,640 --> 00:46:40,200
Speaker 1: own escape from assassination, which you and your supporters, by

922
00:46:40,200 --> 00:46:44,320
Speaker 1: the way, have officially decided means you're protected by God

923
00:46:44,680 --> 00:46:48,040
Speaker 1: like that everybody's like, yeah, this is this meant that God.

924
00:46:48,200 --> 00:46:51,880
Speaker 1: Like his son was like, yeah, God actually is into

925
00:46:51,920 --> 00:46:54,120
Speaker 1: my dad. It's not that my dad's into God. God's

926
00:46:54,160 --> 00:46:56,560
Speaker 1: into my dad. And you can tell because of that, Like,

927
00:46:56,640 --> 00:46:59,640
Speaker 1: to bring that up in the context of someone who

928
00:46:59,680 --> 00:47:04,759
Speaker 1: didn't escape from an assassin's bullet just seems so profoundly

929
00:47:04,880 --> 00:47:05,359
Speaker 1: fucked up.

930
00:47:05,440 --> 00:47:07,440
Speaker 2: He does that all the time, though, Like I remember

931
00:47:07,480 --> 00:47:10,520
Speaker 2: when there was the guy who was the firefighter that

932
00:47:10,600 --> 00:47:14,279
Speaker 2: was killed during the Butler Pennsylvania rally where Trump, you know,

933
00:47:14,320 --> 00:47:16,960
Speaker 2: where his ear got nicked by the bullet. He like

934
00:47:17,000 --> 00:47:19,360
Speaker 2: also made a joke about that guy to his wife,

935
00:47:19,480 --> 00:47:21,000
Speaker 2: like at a thing, and he's like, oh.

936
00:47:20,880 --> 00:47:24,239
Speaker 1: Yeah, I moved my head.

937
00:47:24,440 --> 00:47:28,000
Speaker 2: I think because he has no sense of the value

938
00:47:28,000 --> 00:47:30,520
Speaker 2: of human life at all, and he, like I think

939
00:47:30,560 --> 00:47:33,080
Speaker 2: everyone it probably appears as like an NPC to him,

940
00:47:33,120 --> 00:47:35,160
Speaker 2: like a non playable character in a video game, where

941
00:47:35,200 --> 00:47:37,480
Speaker 2: he's like, and I just say things and they don't

942
00:47:37,480 --> 00:47:40,960
Speaker 2: have feelings. And this one he said, he told they

943
00:47:40,960 --> 00:47:43,200
Speaker 2: were I made a turn at a good time. I

944
00:47:43,239 --> 00:47:44,880
Speaker 2: made a turn at a good time. I turned to

945
00:47:44,880 --> 00:47:47,440
Speaker 2: the right. Charlie couldn't believe it. Actually, he said, how

946
00:47:47,480 --> 00:47:49,200
Speaker 2: the hell did you make that turn? I said, I

947
00:47:49,200 --> 00:47:49,520
Speaker 2: don't know.

948
00:47:50,400 --> 00:47:52,120
Speaker 1: I made a turn at a good time. I made

949
00:47:52,120 --> 00:47:54,279
Speaker 1: a turn at a good time. I turned to the right.

950
00:47:54,480 --> 00:47:56,960
Speaker 1: Charlie couldn't. I was like, what the fuck is he

951
00:47:57,040 --> 00:48:00,239
Speaker 1: about to say? Yeah, I believe it? Actually, yeah, his

952
00:48:00,239 --> 00:48:02,160
Speaker 1: only mode. I mean, we've talked before about how on

953
00:48:02,200 --> 00:48:04,040
Speaker 1: the morning of nine to eleven, he was bragging about

954
00:48:04,040 --> 00:48:07,920
Speaker 1: how his building was now the tallest in New York City,

955
00:48:08,200 --> 00:48:12,439
Speaker 1: which also wasn't true. But like he he only has

956
00:48:12,480 --> 00:48:16,359
Speaker 1: one mode, and that's like bragging it's me. Yeah, it's

957
00:48:16,400 --> 00:48:18,839
Speaker 1: on me mode the whole time. This is kind of

958
00:48:19,120 --> 00:48:22,560
Speaker 1: new levels of fucked up, kind almost impressed.

959
00:48:22,760 --> 00:48:25,920
Speaker 2: Well, he can't even pretend like it's you know, because

960
00:48:26,040 --> 00:48:29,279
Speaker 2: obviously the conservative movement needs to make this like this

961
00:48:29,400 --> 00:48:33,160
Speaker 2: sort of you know, foundational tragedy that they can justify

962
00:48:33,200 --> 00:48:38,080
Speaker 2: this huge backlash against anyone who is, I guess identifies

963
00:48:38,120 --> 00:48:41,680
Speaker 2: as a liberal left, progressive whatever, even at this point

964
00:48:41,719 --> 00:48:45,759
Speaker 2: anti capitalist as a precursor to becoming a terrorist. That yeah,

965
00:48:45,800 --> 00:48:48,600
Speaker 2: he couldn't even he can't even keep that up because

966
00:48:49,080 --> 00:48:51,480
Speaker 2: it's so even in their minds, it's so flimsy, like

967
00:48:51,520 --> 00:48:54,759
Speaker 2: it's just in service of acting out their sort of

968
00:48:54,760 --> 00:48:58,080
Speaker 2: agenda rather than anything that's based in like a sincere

969
00:48:58,719 --> 00:49:01,160
Speaker 2: sense of loss, or if it's more like, okay, so,

970
00:49:01,160 --> 00:49:03,880
Speaker 2: how can we use this as an opportunity to further

971
00:49:03,960 --> 00:49:07,120
Speaker 2: erode rights? And you're gonna get responses like this from

972
00:49:07,120 --> 00:49:09,000
Speaker 2: a person who only cares about himself.

973
00:49:09,640 --> 00:49:14,839
Speaker 1: You're all right, onto one more active citizen journalism. Emma

974
00:49:14,840 --> 00:49:19,480
Speaker 1: Stone's new movie, but Gonya is hering your ghost Lanthemos,

975
00:49:19,719 --> 00:49:21,960
Speaker 1: so back at it again, back at it.

976
00:49:21,960 --> 00:49:23,920
Speaker 3: Again, good, Like, do we know if it's good?

977
00:49:23,920 --> 00:49:26,560
Speaker 1: We have getting like decent reviews. It's the sixty nine

978
00:49:26,600 --> 00:49:30,919
Speaker 1: on Metacritic, which you know that's usually I think that's

979
00:49:30,920 --> 00:49:32,920
Speaker 1: a good score for a movie like this if it's

980
00:49:32,960 --> 00:49:36,320
Speaker 1: like too high, you know, but it might be a

981
00:49:36,360 --> 00:49:38,840
Speaker 1: little safe where it's like his movies are weird and

982
00:49:38,880 --> 00:49:41,680
Speaker 1: fucked up, and so I don't know. I'm definitely looking

983
00:49:41,719 --> 00:49:44,040
Speaker 1: forward to seeing it. So you might have seen the

984
00:49:44,040 --> 00:49:48,400
Speaker 1: previews where she or her captors shave her head for

985
00:49:48,520 --> 00:49:51,880
Speaker 1: the part, and a promotion for the movie got a

986
00:49:51,920 --> 00:49:55,000
Speaker 1: lot of attention. It was an early LA screening that

987
00:49:55,080 --> 00:49:58,759
Speaker 1: invited people to attend, but only if they're bald, and

988
00:49:58,800 --> 00:50:01,920
Speaker 1: if it should be bald, there would be a barber

989
00:50:02,000 --> 00:50:05,120
Speaker 1: on him to shave their heads, thus allowing them entry.

990
00:50:05,600 --> 00:50:08,360
Speaker 3: I feel like that's taking the girlies who wear the

991
00:50:08,360 --> 00:50:13,200
Speaker 3: bald caps a pitbull to an extreme extreme right.

992
00:50:13,080 --> 00:50:16,000
Speaker 2: Right right, right, right, Yeah, I'm getting the I'm getting

993
00:50:16,040 --> 00:50:18,200
Speaker 2: the buzz cut so I can see this early cut of.

994
00:50:18,200 --> 00:50:20,480
Speaker 1: But why Miles doesn't. That's why Miles got the one

995
00:50:20,680 --> 00:50:21,000
Speaker 1: on the.

996
00:50:24,120 --> 00:50:30,280
Speaker 2: It stinks, it's bad, It's all bad. Uh yeah, I'm

997
00:50:31,080 --> 00:50:33,640
Speaker 2: that's just so funny and gimmicky. Like I'm also like,

998
00:50:33,960 --> 00:50:36,040
Speaker 2: you're not going to get people to shave their heads

999
00:50:36,040 --> 00:50:41,160
Speaker 2: in La Like you're just like it. I I grew

1000
00:50:41,200 --> 00:50:43,719
Speaker 2: up in the city. People are too jaded to be like, yeah,

1001
00:50:43,760 --> 00:50:47,320
Speaker 2: I'll shave off my hair to go see this free screening.

1002
00:50:47,360 --> 00:50:48,920
Speaker 2: But apparently some people did.

1003
00:50:49,200 --> 00:50:53,560
Speaker 1: Yeah, some people did. Other people, as Neilo mentioned, uh

1004
00:50:53,800 --> 00:50:57,840
Speaker 1: we're rock with a ball cap that was not very convincing.

1005
00:50:58,120 --> 00:51:01,799
Speaker 1: This is just like a pan's foot on top of

1006
00:51:01,840 --> 00:51:06,120
Speaker 1: their head essentially, And photos from the screen screening featured

1007
00:51:06,560 --> 00:51:11,000
Speaker 1: a lot of bald gaps. So that's again, you know,

1008
00:51:11,360 --> 00:51:13,960
Speaker 1: just getting ship by these citizen journalists.

1009
00:51:14,440 --> 00:51:17,320
Speaker 2: No, not even your fake pro promotional stunt. We're like

1010
00:51:17,520 --> 00:51:21,200
Speaker 2: people had to shave their heads for this. Did that

1011
00:51:21,239 --> 00:51:23,680
Speaker 2: move the needle at all? That's my other thing. I'm like,

1012
00:51:23,760 --> 00:51:24,800
Speaker 2: what's the point.

1013
00:51:25,040 --> 00:51:28,120
Speaker 3: Like already a big film, right, like we're already it's

1014
00:51:28,160 --> 00:51:31,759
Speaker 3: already being hyped, Like what are they what promotional edge

1015
00:51:31,760 --> 00:51:32,480
Speaker 3: are they getting from this?

1016
00:51:32,600 --> 00:51:36,200
Speaker 2: I don't know, someone someone like their social like PR

1017
00:51:36,320 --> 00:51:38,840
Speaker 2: team had a real bad idea that got approved. It

1018
00:51:38,880 --> 00:51:40,400
Speaker 2: was probably like and then we can like film it

1019
00:51:40,480 --> 00:51:43,680
Speaker 2: and everyone's like Bagonia with their bald heads. It's gonna

1020
00:51:43,719 --> 00:51:44,080
Speaker 2: be great.

1021
00:51:45,080 --> 00:51:48,080
Speaker 3: Yeah. I do love to fantasize about being in meetings

1022
00:51:48,120 --> 00:51:50,239
Speaker 3: where like something had to go through ten levels of

1023
00:51:50,280 --> 00:51:53,080
Speaker 3: approval like Kendall Jenner pepsi ad like.

1024
00:51:53,000 --> 00:51:55,200
Speaker 2: Bringing it out room.

1025
00:51:55,320 --> 00:51:59,400
Speaker 3: Yeah, fantasize about knowing how this happened, like yeah, everyone

1026
00:51:59,400 --> 00:52:02,000
Speaker 3: who films up, everyone who is c seed on the chain,

1027
00:52:02,200 --> 00:52:03,560
Speaker 3: very curious if that read out.

1028
00:52:04,560 --> 00:52:07,319
Speaker 2: My thing is always that there's some token in the

1029
00:52:07,360 --> 00:52:11,279
Speaker 2: meeting that they used to justify whatever. And they're like, well,

1030
00:52:12,239 --> 00:52:13,560
Speaker 2: what do you think? What do you think?

1031
00:52:13,800 --> 00:52:14,080
Speaker 3: Les?

1032
00:52:14,160 --> 00:52:16,840
Speaker 2: You're black and Jack and I'll go yeah, yeah, yeah, whatever,

1033
00:52:17,000 --> 00:52:20,319
Speaker 2: I'm school with it.

1034
00:52:20,400 --> 00:52:22,640
Speaker 1: What do you think of this idea? That was my

1035
00:52:22,760 --> 00:52:26,160
Speaker 1: brain child? And as the CEO, I've already invested eight

1036
00:52:26,160 --> 00:52:27,600
Speaker 1: point five million dollars into it.

1037
00:52:27,640 --> 00:52:29,279
Speaker 2: What do you want? Oh?

1038
00:52:29,360 --> 00:52:29,440
Speaker 3: That?

1039
00:52:29,719 --> 00:52:29,879
Speaker 1: Oh?

1040
00:52:30,040 --> 00:52:32,960
Speaker 2: I love it.

1041
00:52:33,360 --> 00:52:35,920
Speaker 3: I mean, like not to sound like I'm shilling for

1042
00:52:36,000 --> 00:52:38,680
Speaker 3: Big pit Bull, which I'm not, but I swear it's

1043
00:52:38,719 --> 00:52:42,000
Speaker 3: because like the girls going to the Pitbull concert dressed

1044
00:52:42,040 --> 00:52:44,480
Speaker 3: like him, and the ball Caps become like a whole movement,

1045
00:52:44,600 --> 00:52:47,680
Speaker 3: Like for sure, someone on the Bogonia team saw that

1046
00:52:47,880 --> 00:52:49,640
Speaker 3: was like we can do this, and it's like, you

1047
00:52:49,680 --> 00:52:51,839
Speaker 3: can't because you're not mister worldwide and.

1048
00:52:51,840 --> 00:52:52,799
Speaker 2: You're not that way.

1049
00:52:53,120 --> 00:52:55,040
Speaker 3: No, you're not mister three h five. No, we all

1050
00:52:55,120 --> 00:52:55,920
Speaker 3: wish we could be.

1051
00:52:56,360 --> 00:52:59,120
Speaker 2: No, you're endless Stone. No one is no One's cap

1052
00:52:59,160 --> 00:53:01,440
Speaker 2: and frameless Stone. Like, I mean, she's a great performer,

1053
00:53:01,480 --> 00:53:04,520
Speaker 2: but I think it's not the same. It's not meme level,

1054
00:53:04,560 --> 00:53:07,839
Speaker 2: which pit Bull is powered by that where people are like, oh, fuck, yeah,

1055
00:53:07,880 --> 00:53:10,480
Speaker 2: watch me wear the suit. I got the bald cap on.

1056
00:53:10,560 --> 00:53:12,840
Speaker 3: My Yeah, like this would have worked better for easy a.

1057
00:53:13,200 --> 00:53:16,320
Speaker 3: Everyone wear your stirlet a, everyone wear your little corset,

1058
00:53:16,360 --> 00:53:17,759
Speaker 3: Like this would have worked for that.

1059
00:53:18,080 --> 00:53:20,600
Speaker 2: Yeah, for sure. Yep. It's just funny because like the

1060
00:53:20,640 --> 00:53:23,760
Speaker 2: crowd is just mostly bald dudes. Yeah, it's just bald

1061
00:53:23,600 --> 00:53:28,520
Speaker 2: d I'm like yeah, yeah, yeah, yeah a lot of

1062
00:53:28,520 --> 00:53:30,520
Speaker 2: people just like because I think the stipulation was either

1063
00:53:30,560 --> 00:53:33,200
Speaker 2: a arrive bald or get shaved bald to come in.

1064
00:53:33,520 --> 00:53:34,399
Speaker 2: I'm really there.

1065
00:53:34,280 --> 00:53:36,879
Speaker 1: Would be footage of somebody getting shaved bald if they

1066
00:53:36,920 --> 00:53:39,560
Speaker 1: had actually been able to pull that off, but instead

1067
00:53:39,600 --> 00:53:41,000
Speaker 1: they were just like, I don't know, man, we need

1068
00:53:41,000 --> 00:53:43,520
Speaker 1: a full screening. Put this pantyhose foot on your head.

1069
00:53:43,640 --> 00:53:46,359
Speaker 2: Yeah, what was that? Like, what's that conversation where people like, man,

1070
00:53:46,400 --> 00:53:48,160
Speaker 2: fuck that I'm not shaving my head. What are you

1071
00:53:48,160 --> 00:53:51,120
Speaker 2: talking about? I work for the studio to like exact Fuck.

1072
00:53:51,880 --> 00:53:54,719
Speaker 1: These are the people who approved the idea wearing the

1073
00:53:54,719 --> 00:53:57,480
Speaker 1: shitty ball cap. They're like, well, no, no, I wouldn't

1074
00:53:57,760 --> 00:54:00,360
Speaker 1: actually do it. Come on, no, I just I just

1075
00:54:00,400 --> 00:54:02,440
Speaker 1: got back from Turkey. I paid way too much for

1076
00:54:02,520 --> 00:54:08,560
Speaker 1: this hairline. I can't right now. Well, Nilo, such a

1077
00:54:08,560 --> 00:54:11,239
Speaker 1: pleasure having you on the dail. He's like, geist, where

1078
00:54:11,239 --> 00:54:14,920
Speaker 1: can people find you? Follow you read, you find the

1079
00:54:14,960 --> 00:54:16,080
Speaker 1: book all that good stuff.

1080
00:54:16,520 --> 00:54:19,359
Speaker 3: The book is anywhere where books are sold. You can

1081
00:54:19,360 --> 00:54:22,600
Speaker 3: find it in your local bookstore, shop local. You can

1082
00:54:22,640 --> 00:54:27,000
Speaker 3: find me on x at end Tabreeze or for more fun,

1083
00:54:27,080 --> 00:54:29,799
Speaker 3: on Instagram at Bad Boys to Men in Black hawk Down.

1084
00:54:30,200 --> 00:54:31,879
Speaker 3: That is my handle, so.

1085
00:54:32,280 --> 00:54:35,360
Speaker 2: To men in Black.

1086
00:54:35,040 --> 00:54:37,400
Speaker 3: Well, because I was like bad Boys to men taken,

1087
00:54:37,560 --> 00:54:39,960
Speaker 3: Bad Boys to men in black taken, but bad Boys

1088
00:54:39,960 --> 00:54:43,319
Speaker 3: to Men in Black hawk Down was open. Bad Boys

1089
00:54:43,320 --> 00:54:45,959
Speaker 3: and men in black hawk Down to abbey too long.

1090
00:54:46,320 --> 00:54:48,120
Speaker 3: But I did try to take it to another place.

1091
00:54:48,200 --> 00:54:53,520
Speaker 2: Yeah, black Wow. Bad Boys to Men in Black hawk

1092
00:54:53,719 --> 00:54:56,799
Speaker 2: Down rode and rage against the Machine song.

1093
00:54:56,920 --> 00:54:58,800
Speaker 3: Yeah, then that works, Yeah exactly.

1094
00:54:58,800 --> 00:55:00,200
Speaker 1: Do you like all of those things?

1095
00:55:00,360 --> 00:55:01,719
Speaker 2: Are you? I?

1096
00:55:01,760 --> 00:55:05,640
Speaker 3: I love Bad Boys like I think Bad Boys Too.

1097
00:55:05,719 --> 00:55:09,319
Speaker 1: Specifically, I would say, is and you got it in

1098
00:55:09,360 --> 00:55:10,759
Speaker 1: there bad Boys too?

1099
00:55:11,520 --> 00:55:11,680
Speaker 3: Men?

1100
00:55:12,040 --> 00:55:13,359
Speaker 2: Oh shit, there.

1101
00:55:13,280 --> 00:55:16,120
Speaker 3: Was a time where I had Bad Boys Too in

1102
00:55:16,360 --> 00:55:19,040
Speaker 3: like three copies of it on DVD. I don't know,

1103
00:55:20,000 --> 00:55:22,440
Speaker 3: I'm not sure why, but it like came into my

1104
00:55:22,480 --> 00:55:24,120
Speaker 3: possession and I had it for a long time. But yeah,

1105
00:55:24,160 --> 00:55:24,600
Speaker 3: I like, I.

1106
00:55:26,160 --> 00:55:29,160
Speaker 2: Loved that sound that. It's funny. That soundtrack was the

1107
00:55:29,200 --> 00:55:34,040
Speaker 2: soundtrack of the summer I graduated high school, so I

1108
00:55:34,280 --> 00:55:37,920
Speaker 2: fucking like, for whatever reason, that soundtrack is just like

1109
00:55:38,080 --> 00:55:40,520
Speaker 2: the sound of me becoming like an adult because it

1110
00:55:40,520 --> 00:55:42,280
Speaker 2: came out the summer two thousand and three, and I

1111
00:55:42,320 --> 00:55:44,759
Speaker 2: fucking loved it. Yeah, damn.

1112
00:55:44,800 --> 00:55:47,800
Speaker 1: It even has the Bad Boys too, has the to

1113
00:55:48,040 --> 00:55:50,799
Speaker 1: the Roman numeral two, just like boys to men.

1114
00:55:51,880 --> 00:55:54,920
Speaker 3: Wow, there are players and levels to this.

1115
00:55:55,719 --> 00:55:58,280
Speaker 2: Thank you, thank you, thank you amazing.

1116
00:55:58,640 --> 00:56:01,040
Speaker 1: Is there a work of media that you've been enjoying.

1117
00:56:02,000 --> 00:56:05,080
Speaker 3: Yes. I was on TikTok and I saw a video

1118
00:56:05,120 --> 00:56:07,439
Speaker 3: of a scare actor in a haunted house and he's

1119
00:56:07,480 --> 00:56:10,640
Speaker 3: like frozen and these women walk by him. They're trying

1120
00:56:10,640 --> 00:56:12,239
Speaker 3: to figure out where to go, and they're like, oh,

1121
00:56:12,239 --> 00:56:16,840
Speaker 3: this guy's obviously fake, like his hairlined terrible, his teeth busted,

1122
00:56:17,000 --> 00:56:19,839
Speaker 3: and they're like to his face and he's just frozen there.

1123
00:56:19,840 --> 00:56:23,319
Speaker 3: They're like his hands tiny, his stature too big. I

1124
00:56:23,360 --> 00:56:25,360
Speaker 3: was just like I would simply pass away if I

1125
00:56:25,440 --> 00:56:27,040
Speaker 3: was this guy. And he just kind of like sighs.

1126
00:56:27,040 --> 00:56:29,000
Speaker 3: He's like, your adventure continues this.

1127
00:56:29,080 --> 00:56:33,280
Speaker 2: Oh yeah, like they were.

1128
00:56:32,960 --> 00:56:34,840
Speaker 3: And you could tell like they weren't even like scared.

1129
00:56:34,920 --> 00:56:37,800
Speaker 3: They were they were horrified. They said all these awful things.

1130
00:56:38,320 --> 00:56:41,280
Speaker 3: Five million likes can't be wrong. And I was cackling.

1131
00:56:41,280 --> 00:56:42,960
Speaker 3: And then I was also like if this were me,

1132
00:56:43,160 --> 00:56:46,239
Speaker 3: like what do you do, Like do you apologize? I

1133
00:56:46,280 --> 00:56:49,440
Speaker 3: mean like like they're like, I'm so sorry, And he

1134
00:56:49,520 --> 00:56:52,239
Speaker 3: was like, nope, your journey is this, Like he was

1135
00:56:52,280 --> 00:56:54,880
Speaker 3: still in character. I was like, how are you not sobbing?

1136
00:56:55,160 --> 00:56:56,360
Speaker 3: Like you're self confidence?

1137
00:56:56,560 --> 00:57:00,279
Speaker 2: I kind of broke character, was like, nope, just let's

1138
00:57:00,360 --> 00:57:03,520
Speaker 2: get past this. I'm going through a lot right now,

1139
00:57:03,560 --> 00:57:06,680
Speaker 2: so you guys just fucking get out of my face. Please.

1140
00:57:06,840 --> 00:57:09,480
Speaker 3: No, he remained, but there was a moment they're trying

1141
00:57:09,520 --> 00:57:11,960
Speaker 3: to apologize who's like this way.

1142
00:57:11,800 --> 00:57:15,000
Speaker 1: This way, just so you know, wow, just say no.

1143
00:57:15,120 --> 00:57:16,800
Speaker 3: I'm real and I'll hate you for the rest of

1144
00:57:16,800 --> 00:57:17,200
Speaker 3: my life.

1145
00:57:17,280 --> 00:57:22,720
Speaker 1: Incredible Haunted House two meetings. I'll be haunted forever by

1146
00:57:22,760 --> 00:57:25,240
Speaker 1: this interaction. Miles Where can people find you as their

1147
00:57:25,280 --> 00:57:28,720
Speaker 1: working media you've been enjoying? Yeah, find me everywhere at

1148
00:57:28,760 --> 00:57:31,560
Speaker 1: Miles of Gray. I'm talking about ninety Day Fiance on

1149
00:57:31,680 --> 00:57:33,720
Speaker 1: four to twenty Day Fiance. That's the other show I

1150
00:57:33,720 --> 00:57:37,200
Speaker 1: do with Sofia Alexandra work at Media.

1151
00:57:37,320 --> 00:57:39,160
Speaker 2: I like, let me see did it?

1152
00:57:40,760 --> 00:57:40,920
Speaker 3: Yeah?

1153
00:57:41,000 --> 00:57:44,000
Speaker 2: This one is pretty I don't know if you saw

1154
00:57:44,040 --> 00:57:46,600
Speaker 2: that that clip of like that guy from like Jersey

1155
00:57:46,640 --> 00:57:49,440
Speaker 2: who's like antagonizing a bunch of protesters and then he

1156
00:57:49,840 --> 00:57:52,160
Speaker 2: calls someone that I'm slur and then they took his glass.

1157
00:57:52,200 --> 00:57:54,520
Speaker 2: He fell down. This is from at David j. Rothdap's

1158
00:57:54,560 --> 00:57:56,480
Speaker 2: got at Social says, I take no pleasure in this,

1159
00:57:56,560 --> 00:57:58,600
Speaker 2: but going to a different city with your dumb buddies

1160
00:57:58,640 --> 00:58:01,520
Speaker 2: and getting badly injured because you antagonized a bunch of

1161
00:58:01,520 --> 00:58:04,000
Speaker 2: strangers and fell down twice chasing one hundred and ten

1162
00:58:04,040 --> 00:58:08,040
Speaker 2: pound teenager who stole your sunglasses. Actually is North Jersey.

1163
00:58:08,120 --> 00:58:12,080
Speaker 2: Excellence of a source and then at gourmet spud dot

1164
00:58:12,120 --> 00:58:15,120
Speaker 2: Beskuyt on social because yes, the World Series is between

1165
00:58:15,120 --> 00:58:18,520
Speaker 2: Los Angeles and Toronto. There's another part where Toronto. What's

1166
00:58:18,600 --> 00:58:23,080
Speaker 2: Toronto Toronto? Uh, you know, man's marked. This is Gourmet

1167
00:58:23,120 --> 00:58:26,200
Speaker 2: Spud posted Please don't go nuts with Drake Kendrick stuff

1168
00:58:26,280 --> 00:58:29,040
Speaker 2: during the World Series. Toronto as a municipality has moved

1169
00:58:29,120 --> 00:58:32,680
Speaker 2: beyond Drake. If he posts anything, please report him immediately.

1170
00:58:34,480 --> 00:58:36,880
Speaker 3: Wow, disrespectful to Drake d.

1171
00:58:37,720 --> 00:58:39,840
Speaker 2: Yeah, I didn't realize. They were like, guys, we don't

1172
00:58:39,840 --> 00:58:42,680
Speaker 2: want to take this out anymore, you know this, But Drake,

1173
00:58:42,760 --> 00:58:45,480
Speaker 2: I mean, if you're like, if you're a sick o

1174
00:58:45,600 --> 00:58:50,520
Speaker 2: sports fan, like you honestly believe that like being associated

1175
00:58:50,560 --> 00:58:53,480
Speaker 2: with a previous loss like the Drake Kendrick one is

1176
00:58:53,640 --> 00:58:55,480
Speaker 2: going to curse your team, Like they're just.

1177
00:58:55,560 --> 00:58:59,160
Speaker 1: Like, don't even say his name in the stadium.

1178
00:58:59,680 --> 00:59:02,520
Speaker 2: What do you doing not to mention the somewhat true

1179
00:59:02,600 --> 00:59:06,040
Speaker 2: Drake curse of him donning a uniform and then them losing.

1180
00:59:06,480 --> 00:59:06,880
Speaker 2: That's right.

1181
00:59:07,000 --> 00:59:08,480
Speaker 3: Oh, I didn't know that was the thing.

1182
00:59:08,800 --> 00:59:10,880
Speaker 2: Yeah, yeah, yeah, but I mean he did okay with

1183
00:59:10,920 --> 00:59:13,120
Speaker 2: the Raptors that one here, Uh, workimedia.

1184
00:59:13,120 --> 00:59:17,440
Speaker 1: I've been enjoying. Melissa Izzatto. Oliva tweeted Andrew Cuomo, he

1185
00:59:17,560 --> 00:59:21,720
Speaker 1: hates Israel Zorn. I'm here to talk about affordability. Curtis

1186
00:59:21,760 --> 00:59:24,960
Speaker 1: Sliwa In nineteen eighty three on Coney Island, I was

1187
00:59:25,080 --> 00:59:28,320
Speaker 1: visited by a woman in many scarves. I watched his

1188
00:59:28,480 --> 00:59:32,080
Speaker 1: thousands of cats emerged from her bosom. I taught them

1189
00:59:32,120 --> 00:59:38,760
Speaker 1: all karate, oh my god, yeah, unbelieva.

1190
00:59:39,280 --> 00:59:41,240
Speaker 2: And he's not getting out right. I know they're they're

1191
00:59:41,360 --> 00:59:44,400
Speaker 2: doing everything they can to get him out before I don't.

1192
00:59:44,560 --> 00:59:45,080
Speaker 3: I don't think so.

1193
00:59:45,400 --> 00:59:47,880
Speaker 1: I was like, why would I do that? He lost

1194
00:59:48,360 --> 00:59:52,360
Speaker 1: his primary CMO, Why the fuck would I get out?

1195
00:59:52,560 --> 00:59:54,720
Speaker 3: And he was asked about it. They're like, what, yeah,

1196
00:59:54,720 --> 00:59:57,640
Speaker 3: exactly what you know? You're giving votes to Dohran whatever.

1197
00:59:58,000 --> 00:59:59,560
Speaker 3: This is what this guy says. And he's just like

1198
00:59:59,640 --> 01:00:01,960
Speaker 3: in the all the interview turned to camera and like

1199
01:00:02,080 --> 01:00:04,880
Speaker 3: called out. Bill Ackerman was like, he's not right. He

1200
01:00:05,040 --> 01:00:07,000
Speaker 3: lives here, like lah blah blah, he doesn't know it.

1201
01:00:07,080 --> 01:00:09,680
Speaker 3: And I was like, wow, like he he is going

1202
01:00:09,760 --> 01:00:09,960
Speaker 3: for it.

1203
01:00:10,080 --> 01:00:13,560
Speaker 1: Yeah yeah, rat his way onto the professional Tennis Tour.

1204
01:00:13,720 --> 01:00:16,280
Speaker 1: Bill Ackerman, that was great that he made reference to that.

1205
01:00:16,480 --> 01:00:18,280
Speaker 1: We I don't know that we covered that story. We

1206
01:00:18,360 --> 01:00:20,400
Speaker 1: need to just do that as an evergreen story one

1207
01:00:20,440 --> 01:00:24,560
Speaker 1: of these times. He literally was like, I'm good at tennis.

1208
01:00:24,640 --> 01:00:27,440
Speaker 1: I should be able to do that. Andrew Nadou also tweeted,

1209
01:00:27,480 --> 01:00:30,240
Speaker 1: I need more details about the Louver heist because this

1210
01:00:30,400 --> 01:00:32,480
Speaker 1: sounds way too easy. What do you mean They just

1211
01:00:32,600 --> 01:00:34,800
Speaker 1: climbed up and cut a hole in the glass. That's

1212
01:00:34,840 --> 01:00:37,640
Speaker 1: how Bugs Bunny would steal from a museum. And as

1213
01:00:37,680 --> 01:00:41,560
Speaker 1: we talked about on yesterday's episode, museum heists are generally

1214
01:00:41,960 --> 01:00:46,160
Speaker 1: like the security sucks shit at museums, Like this is

1215
01:00:46,720 --> 01:00:50,080
Speaker 1: what museum heists are like. Speaking of Bugs Bunny, the

1216
01:00:50,160 --> 01:00:53,720
Speaker 1: most successful art thief of all time just wren oversized

1217
01:00:53,840 --> 01:00:56,960
Speaker 1: jacket and stole shit off the wall and put it

1218
01:00:57,120 --> 01:01:00,200
Speaker 1: in his jacket. That is how that is art. It's

1219
01:01:00,240 --> 01:01:03,560
Speaker 1: not it's not Thomas Crown shit. It is Bugs Bunny shit.

1220
01:01:03,640 --> 01:01:05,600
Speaker 3: We haven't had a heist in a long time.

1221
01:01:05,680 --> 01:01:07,920
Speaker 2: I know. It feels like appreciate it. It feels like

1222
01:01:08,040 --> 01:01:11,640
Speaker 2: heist films are like propaganda that like keep people from

1223
01:01:11,680 --> 01:01:14,840
Speaker 2: actually attempting something that's quite simple to do, you know

1224
01:01:14,880 --> 01:01:15,160
Speaker 2: what I mean?

1225
01:01:15,400 --> 01:01:17,400
Speaker 3: Because it's interesting because it's like you get even like

1226
01:01:18,280 --> 01:01:20,600
Speaker 3: half an inch too close to a painting and it's

1227
01:01:20,720 --> 01:01:26,320
Speaker 3: like ud alarm, like matrix lasers. And meanwhile, like they

1228
01:01:26,360 --> 01:01:28,160
Speaker 3: were like, oh, they almost took this crown. That was

1229
01:01:28,200 --> 01:01:30,360
Speaker 3: like the one thing they left behind, Like right.

1230
01:01:30,920 --> 01:01:31,880
Speaker 2: They got everything else.

1231
01:01:32,040 --> 01:01:34,800
Speaker 1: Yeah, we talked yesterday about how the biggest art heist

1232
01:01:35,000 --> 01:01:38,440
Speaker 1: ever from museum happened in Boston. They tripped the alarms

1233
01:01:38,800 --> 01:01:41,520
Speaker 1: and the alarm was going to a different part of

1234
01:01:41,600 --> 01:01:45,400
Speaker 1: the museum. That's where the message for security.

1235
01:01:44,920 --> 01:01:49,320
Speaker 2: Company, Hey, something's going on across the hall. Okay.

1236
01:01:50,320 --> 01:01:52,480
Speaker 1: You can find me on Twitter at Jack Underscore, Obrian

1237
01:01:52,640 --> 01:01:55,280
Speaker 1: on Blue Sky at Jack ob the Number one. You

1238
01:01:55,360 --> 01:01:57,920
Speaker 1: can find us on Twitter and Blue Sky at Daily Zeikeeist.

1239
01:01:57,920 --> 01:02:00,640
Speaker 1: We're at the Daily Zeicheist. On Instagram. You can go

1240
01:02:00,760 --> 01:02:03,040
Speaker 1: to the description of this episode wherever you're listening to it,

1241
01:02:03,120 --> 01:02:05,840
Speaker 1: and there at the bottom you will find the footnotes. No,

1242
01:02:06,120 --> 01:02:08,200
Speaker 1: which is where we link off to the information that

1243
01:02:08,280 --> 01:02:11,000
Speaker 1: we talked about in today's episode. We also link off

1244
01:02:11,040 --> 01:02:13,680
Speaker 1: to a song that we think you might enjoy. Miles,

1245
01:02:13,880 --> 01:02:16,120
Speaker 1: is there a song that you think that people might enjoy?

1246
01:02:16,320 --> 01:02:20,120
Speaker 2: Yes, I've been playing the video game Ghost of Yota

1247
01:02:20,720 --> 01:02:25,080
Speaker 2: a lot because I like Samurai tings. But there is

1248
01:02:25,160 --> 01:02:28,000
Speaker 2: a mode in the game called Watanabe mode, which is,

1249
01:02:28,360 --> 01:02:30,960
Speaker 2: you know, it's a reference to the director of Samurai

1250
01:02:31,040 --> 01:02:34,280
Speaker 2: Shamploo for people who know that anime, and that anime

1251
01:02:34,440 --> 01:02:37,800
Speaker 2: is pretty dope because the soundtrack is, you know, so

1252
01:02:37,960 --> 01:02:40,560
Speaker 2: much of it was created by this producer Nuja Best,

1253
01:02:40,640 --> 01:02:43,120
Speaker 2: who just does like sample based hip hop, so you

1254
01:02:43,240 --> 01:02:46,000
Speaker 2: have that aesthetic with like the Samurai thing, and like,

1255
01:02:46,160 --> 01:02:49,480
Speaker 2: I love that. So I've just been there's a mode

1256
01:02:49,480 --> 01:02:50,840
Speaker 2: where you can have it play lo fi hip hop,

1257
01:02:50,920 --> 01:02:53,080
Speaker 2: but the tracks just weren't hidden enough, and I've been

1258
01:02:53,160 --> 01:02:56,040
Speaker 2: having to just launch my Spotify alongside the game so

1259
01:02:56,080 --> 01:02:58,760
Speaker 2: I could hear Nuja Best tracks. So this is one

1260
01:02:58,800 --> 01:03:01,000
Speaker 2: of my favorite tracks while I played that game. It's

1261
01:03:01,040 --> 01:03:04,960
Speaker 2: called battle Cry by Nujabs. It's just great vib sample

1262
01:03:05,000 --> 01:03:08,919
Speaker 2: based hip hop, obviously very inspired by Jay Dillon's production style.

1263
01:03:09,040 --> 01:03:11,720
Speaker 2: So if that makes any if that if that you

1264
01:03:11,800 --> 01:03:14,560
Speaker 2: know entices you, I encourage you to check it out.

1265
01:03:14,600 --> 01:03:15,920
Speaker 2: Battle Cry by Nujebs.

1266
01:03:16,280 --> 01:03:18,840
Speaker 1: We will link off to it in the footnotes is

1267
01:03:18,840 --> 01:03:21,480
Speaker 1: a production of iHeartRadio. For more podcasts from my Heart Radio,

1268
01:03:21,560 --> 01:03:24,080
Speaker 1: visit the iHeartRadio app Apple podcast or wherever you listen

1269
01:03:24,120 --> 01:03:26,000
Speaker 1: to your favorite shows. That is going to do it

1270
01:03:26,040 --> 01:03:28,040
Speaker 1: for us this morning. But we're back this afternoon to

1271
01:03:28,160 --> 01:03:30,520
Speaker 1: tell you what is trending and we will talk to

1272
01:03:30,560 --> 01:03:31,880
Speaker 1: you all then, Bye bye.

1273
01:03:32,760 --> 01:03:35,479
Speaker 2: The Daily Zeit Guys is executive produced by Catherine Long,

1274
01:03:35,840 --> 01:03:39,760
Speaker 2: co produced by Be Wang, co produced by Victor Wright,

1275
01:03:40,240 --> 01:03:44,120
Speaker 2: co written by j M McNabb, edited and engineered by

1276
01:03:44,360 --> 01:03:44,960
Speaker 2: Justin Connor,