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Speaker 1: Hello the Internet, and welcome to season two oh four,

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Speaker 1: Episode four of Daily Like Guys to production of I

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Speaker 1: Heart Radio. This is a podcast where we take a

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Speaker 1: deep dive into America's share consciousness. It's Thursday, October seven one.

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Speaker 1: It is National Chocolate cover Pretzel Day. An important day

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Speaker 1: for me and mine because I do love a good

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Speaker 1: chocolate cover pretzel as long as they're salted, you know,

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Speaker 1: I need I need that salty in that one you'll

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Speaker 1: buy at the store. I mean flips. I'm here for,

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Speaker 1: you know, flipping flipping out. Yeah, I'll go for anything.

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Speaker 1: Probably be spoke to, you know, like sometimes you see

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Speaker 1: the ones that you go to a boardwalk and it'll

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Speaker 1: be like the pretzel rod, like just a straight shooter

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Speaker 1: where they have of it to prove to you this

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Speaker 1: is actually a pretzel, right right, not a carbon rod

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Speaker 1: or something. My name is Jack O'Brien a k. The

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Speaker 1: best part of vaccine up No swimmers in your come.

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Speaker 1: Let's courtesy of Chris Mackling, a new take on the

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Speaker 1: fact that the vaccine, you know, makes you infertile. The

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Speaker 1: fact I'm gonna put that in quotes because I'm still

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Speaker 1: doing my own research on that. But you know, Chris

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Speaker 1: is pointing out here that that could just be birth control.

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Speaker 1: I could do something that you see as a positive. Anyways,

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Speaker 1: I'm thrilled to be joined as always by my co

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Speaker 1: host Mr Miles Grab. What's with these homies soaking and girls?

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Speaker 1: Why don't they wanna thrust? How did they ever do

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Speaker 1: it with guys when they just could and bust? But

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Speaker 1: you know, I'll jump so that you could hump. I

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Speaker 1: won't close my Okay, shout out to oh Hi more

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Speaker 1: for that wonderful buddy Holly Wheezer LDS Soaking Jump Pump

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Speaker 1: Crossroads a K. Yeah, I love that song. Beautiful work.

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Speaker 1: I mean, soaking is the thing that's been around UH

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Speaker 1: for a while, but I feel like it's just re

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Speaker 1: entered the zeitgeist in away. Soaking is here to stay.

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Speaker 1: I'm calling. I mean for someone who like a close

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Speaker 1: friend of mine in high school, he went to UH,

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Speaker 1: he played football at Utah. I remember the first fucking breakback.

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Speaker 1: He was like, yo, really they'd be floating and ship.

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Speaker 1: I'm like, what is this? So in a way, it

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Speaker 1: feels like that moment when Twitter is like ray J's

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Speaker 1: Brandy's brother on the Soaking Ship alright, Miles, Well, we

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Speaker 1: are thrilled to be joined once again in our third

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Speaker 1: seat by a brilliant comedian, writer and actor who's written

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Speaker 1: for and appeared on Comedy Central and ABC. Ever heard

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Speaker 1: of him? His stand up albums the Blake album, Stuffed

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Speaker 1: Boy and Live from the Pandemic debut at number one

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Speaker 1: on iTunes and Amazon, and his album twe of Years

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Speaker 1: of Voicemails from Todd Glass to Blake Wexler charted on Billboard.

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Speaker 1: Ever heard of it? Yep? Oh, please welcome the hilarious,

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Speaker 1: the chaotic Blake Wexler. It's pipeline time. This is Blake

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Speaker 1: Wexler a k A. The wexn Valdez a k A.

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Speaker 1: The oil spill Thrill a k A. The bargin Charge

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Speaker 1: a k a. The fossil fuel ghoul a k A.

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Speaker 1: Smelly Ellie. No need for hysteria. It's the affected area.

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Speaker 1: Thank you so much for having me. It's I missed you, guys.

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Speaker 1: I I do all joking aside, and none of those

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Speaker 1: were jokes, but now I do want to be serious.

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Speaker 1: It's great you guys. I missed you. Thank you. Yeah,

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Speaker 1: it's the feeling is mutual. Man, I'm it's funny. I'm like,

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Speaker 1: where are you been? You're like, I'm around. I'm like, Dan,

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Speaker 1: I'm sucking up because I want to do I've been

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Speaker 1: needing to hear from Blake. It goes both ways. It

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Speaker 1: goes both ways, so I can reach out as well.

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Speaker 1: Do you love the Blake went timely with his a

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Speaker 1: K S with the with the oil spill, and we're

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Speaker 1: still stuck on soaking and other come come based story

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Speaker 1: was from weeks ago, months ago. I was going to

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Speaker 1: write on the discord where everyone, like a lot of

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Speaker 1: people submit a K S. I'm like, y'all, I think

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Speaker 1: we're appreaching, we're approaching Pete come right, and we may

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Speaker 1: need to we may we may need to switch gears.

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Speaker 1: So a K writers, I challenge you for next week.

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Speaker 1: We'll just we'll get a few more days into this.

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Speaker 1: I was, what's not not yet? What is oil? Though?

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Speaker 1: If not, the Earth's come? So I think we are, honestly,

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Speaker 1: And I who said that? Was that? R? L? Stein? Yes?

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Speaker 1: I think so. Yeah. The first sentence in say cheese

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Speaker 1: and die, I think it was. Yeah. I thought it was,

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Speaker 1: you know, he was dedicating the book to someone, but no,

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Speaker 1: it was actually just sage, Sage wisdom. Do you imagine

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Speaker 1: just like those pages that are just dedicated just a

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Speaker 1: serious book. In the first one, you're like, You're like,

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Speaker 1: isn't oil just the Earth's come? Like she what age

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Speaker 1: group is this book for? Who is this four? This

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Speaker 1: reprint of Infinite Jest is something else? The infinite Jizz?

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Speaker 1: I'm sorry? What here he is? Yes, we're back, young Chaos,

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Speaker 1: Young Chaos, little chaos. Blake, you are coming to us

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Speaker 1: from the streets of Philadelphia. I am no, what's good man?

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Speaker 1: What's new in Philly? Philly's great. We had trash pick

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Speaker 1: up day today, which was one of my favorite days

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Speaker 1: of the week. You know, you clean the slate and

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Speaker 1: start over, pile that stuff up again. Found a dead

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Speaker 1: squirrel on the wind shield of my car, which I

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Speaker 1: took personally, and yeah, so that said fuck you, Blake.

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Speaker 1: Your next it said you did this to me, Blake Lexler.

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Speaker 1: And then the first four numbers of my social were

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Speaker 1: generally it's the first three or the last. Yeah, yeah,

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Speaker 1: they did first four this time time. But yeah, no

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Speaker 1: dead Vermins and trash day nowmithstanding, Philadelphia is great? Yeah,

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Speaker 1: you know you've painted a beautiful picture. Yeah, I really

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Speaker 1: thank you. It's I'm a words myth, and I think

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Speaker 1: being a word s myth, I like drawing pictures with

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Speaker 1: my words. So yeah, we'll wonderful. Do you y'all? Do

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Speaker 1: you ever do that thing where you look at you,

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Speaker 1: like when you take your cans out, You're like, man,

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Speaker 1: I can get another weekend cans. They're called breast smiles

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Speaker 1: cans broge here for the for the garbage pick up.

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Speaker 1: I did that the other day. I'm like, I'm so,

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Speaker 1: I'm such a dedicated bringer out of my garbage cans,

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Speaker 1: Like there'll be one can in it, and I'll be like, yeah,

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Speaker 1: they should probably take this, But part of me is

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Speaker 1: like that seems like a waste of everyone's energy. If

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Speaker 1: like like sometimes if it's like less than a quarter full,

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Speaker 1: well on trash day, I'm like, I'll save them. I'll

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Speaker 1: save it. Yeah, I'll do the same thing where it's like,

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Speaker 1: well if I just hold onto this for another week.

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Speaker 1: Cans don't generally smell because the smell is my worst fear,

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Speaker 1: but just period, the smell by trash is my worst fear.

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Speaker 1: But no, you're right with across all the spectrum of

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Speaker 1: your yeah brain, aneurism, earthquake, all those distant bite distant

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Speaker 1: number two, the smell of my cans. But yeah, no

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Speaker 1: can wise. Yeah, I mean if it just piles up

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Speaker 1: for another week, wait three weeks? You know what I mean?

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Speaker 1: It depends on the heat, you know, because I've think

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Speaker 1: I've chanced it before and I nearly like ended my

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Speaker 1: own life with like a bunch of old shrimp that

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Speaker 1: was in a garbage Oh no, like in the in

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Speaker 1: the heat. Not what could we talk about? Sorry, my

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Speaker 1: nose hairs like fell out of my nose, like I remember,

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Speaker 1: Like the ammonia was like like little there's some dead

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Speaker 1: bodies we need to resurrect, bring them by this can.

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Speaker 1: That's some Christ. Yeah, no crustacean talk now on as

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Speaker 1: if you guys could be friends and not talk about

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Speaker 1: or mollusks. Okay, alright, Blake, we're gonna get to know

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

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Speaker 1: couple of things we're talking about. We're gonna talk about

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Speaker 1: Mark Zuckerberg. Thus spoke zuck. He spoke on you know,

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Speaker 1: all the all these you know, wild accusations being thrown

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Speaker 1: at Facebook. And he doesn't even like it's like they're

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Speaker 1: it's like these people are like a different planet, man,

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Speaker 1: Like what what are what are they even talking this? Really?

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Speaker 1: They say that about the great work we do. Come on,

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Speaker 1: we're gonna talk about the January six witnesses, who are

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Speaker 1: seeming like they're hoping to run out the clock on

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Speaker 1: having to testify in front of the Congressional January six

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Speaker 1: Committee because they have nothing to hide, so they're just

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Speaker 1: gonna or their subpoenas. We're gonna talk about Havana syndrome.

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Speaker 1: There's a new newly unclassified report that we'll talk about

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Speaker 1: the implications of that. We will talk about the war

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Speaker 1: on Christmas, which the lives have already started, and we

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Speaker 1: will talk about why the Zodia Act killer has not

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Speaker 1: been identified. Finally, Yeah, what's the fund is that? I

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Speaker 1: just nott on Twitter? There's so many Zodiac killer jokes

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Speaker 1: to catch me up on these things. I wish I

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Speaker 1: gave a funk about the Yeah, that's one of those

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Speaker 1: things where people just wrote a million Zodiac jokes and

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Speaker 1: then they didn't get to like get them all out,

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Speaker 1: and they've just been holding onto them and then anything

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Speaker 1: tangentially related to the Zodiac Killer they get to just

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Speaker 1: unleash those like, you know, jokes they've had on ice

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Speaker 1: for the past however many years. My friend drafts, Yes,

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Speaker 1: that's as good of an explanation as anything I've been

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Speaker 1: able to come up with for why that story has

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Speaker 1: like blown up, because it's that the claim to like

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Speaker 1: they've solved that they have these are the people who

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Speaker 1: we would trust to solve it is non existent. I'm

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Speaker 1: I'm totally confused by how this has become a thing.

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Speaker 1: But before we get to any of that ship Blake,

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Speaker 1: we do like to ask our guests, what is something

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Speaker 1: from your search history. I will tell you that I

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Speaker 1: just wanted to give Biles props God forbid real quick

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Speaker 1: where he made me laugh so hard in the intro

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Speaker 1: when you referred to a pretzel rod as a straight shooter.

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Speaker 1: I lost it. Yeah, I don't know, I'm not really

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Speaker 1: My vocabulary is has been altered by many drugs, so

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Speaker 1: I I arrived at different ways to describe things that,

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Speaker 1: you know, than most people. Jack just took it as

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Speaker 1: just oh, that's a completely normal way to refer just

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Speaker 1: a straight straight shooter. Straight shooters get the straight shooters. Uh, nuggies.

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Speaker 1: There's all kinds of pretzels, the pretzel taxonomy. I get.

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Speaker 1: I get. It's a strange world. Okay, my search history,

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Speaker 1: Uh was that your question? Was that your question that

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Speaker 1: you asked six seconds ago that I don't remember. I

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Speaker 1: searched Richard Gear Bill Clinton because I was watching that

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Speaker 1: impeachment show and we were like two and a half

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Speaker 1: episodes in my fiance and I and I turned to

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Speaker 1: her and I said, oh, I can't believe they got

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Speaker 1: Dick Gear, and she just kind of ignored it because

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Speaker 1: she thought it was like a dick joke. And then

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Speaker 1: after the episode, I searched like, oh wow, like I'm

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Speaker 1: under you know, is he like how many episodes? Like

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Speaker 1: has he ever done something like this? And then it

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Speaker 1: wasn't Richard Gear. It's Clive Owen who was playing it.

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Speaker 1: And for three whole episodes of the show, I thought

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Speaker 1: Bill Clinton was played by Richard Gear and had not

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Speaker 1: a clue in hell, Like if you if I was

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Speaker 1: to bet the safety of my loved ones and my dog,

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Speaker 1: I'd be like, yeah, it's Richard Gear, clearly. But now

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Speaker 1: it's not Richard Gear. It said. I mean, it's like

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Speaker 1: how you went like real familiar to right right? Well,

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Speaker 1: you know, you gotta keep it interesting around that. Were

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Speaker 1: you able to find any other people making the same

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Speaker 1: mistake as you? Like that? That's always important when I

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Speaker 1: make a mistake is to be like, well, a lot

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Speaker 1: of other people like this has to be a trending

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Speaker 1: search term. Will just you know, say that, I can't

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Speaker 1: find anybody else making this mistake. I was too busy

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Speaker 1: looking up brain bleeds and uh, you know, other serious

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Speaker 1: medical issues to look into the rest of it. But yeah, no,

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Speaker 1: that is a good way. What do you have one

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Speaker 1: like that, Jack, where one time like you thought this,

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Speaker 1: and then a bunch of people like I haven't seen

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Speaker 1: anyone think Richard, you're for this. I don't even know

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Speaker 1: if the guy is still alive. Nobody knows. Nobody knows.

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Speaker 1: It's actually impossible to know. There's no way to know

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Speaker 1: for sure. How could you verify something like that? Yeah, no,

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Speaker 1: I have a couple of these every day. My latest

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Speaker 1: was was just coming to the conclusion that everything is

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Speaker 1: fruits there there are no vegetables, and people were quick

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Speaker 1: to point out a bunch of a bunch of trends

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Speaker 1: of that nature that. So what I do is I

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Speaker 1: come on this show and just talk about how I'm

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Speaker 1: wrong about everything, and then people are like, yeah, me too,

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Speaker 1: and yeah that's how. Yeah, this is all a ruse

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Speaker 1: just for Jack to feel better about Like, what don't

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Speaker 1: we talk about this other thing? Jack, He's like, I

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Speaker 1: can't believe I didn't know about this anyone else, anyone else. Yeah.

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Speaker 1: I think the closest I did was like I didn't

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Speaker 1: realize it was Jillian Anderson in the Crown playing Margaret

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Speaker 1: Thatcher the whole time, and I didn't even it didn't

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Speaker 1: even register. It was one of those things. I just

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Speaker 1: I accepted the performance as it was, and it was

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Speaker 1: so strong. I was just I don't I didn't even

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Speaker 1: question who the performer was. I was like, this is

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Speaker 1: Margaret Thatcher in the Crown, Margaret Thatcher as herself, Yeah,

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Speaker 1: the Crown. Yeah, And I just I don't know why.

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Speaker 1: I just it never occurred to me. Normally I'd be like, wow,

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Speaker 1: this this performance is great. I think on someone it was.

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Speaker 1: It was so disarming. I went further and I was like,

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Speaker 1: this is a reality show. I think these are like

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Speaker 1: this is very very te stuff. It's Margaret Thatcher. Was

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Speaker 1: so weird that you think it's a bad performance before

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Speaker 1: you like, look up a clip of her. You're like, oh,

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Speaker 1: that's literally that's literally what she was, like, like that's

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Speaker 1: how she spoke man a very very affected way. But like,

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Speaker 1: what is something you think is over it? Subtitles? When

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Speaker 1: you're watching television shows, if you're watching the show in

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Speaker 1: your language, like in the language that you speak, like

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Speaker 1: if you're watching a show in another language you don't

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Speaker 1: understand by all means, put subtitles Like I don't I

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Speaker 1: can context clues this probably understand. I gotta learn the

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Speaker 1: hard way. Yeah, I gotta. It's immersive. Yeah, but no,

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Speaker 1: I I know a lot of people and I do

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Speaker 1: this myself where you know, either you don't want the

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Speaker 1: volume on two loud because volume on things like swings

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Speaker 1: in such an insane way when you're watching something where

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Speaker 1: it could be people whispering and then there's like a

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Speaker 1: war scene and it's so fucking loud, you gotta like

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Speaker 1: turn the volume down real quick so you don't get evicted.

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Speaker 1: But so anyway, that was a tangent that, um, I

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Speaker 1: don't know how I got there, but my point is

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Speaker 1: is that I think, you know, I know, sometimes we'll

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Speaker 1: do subtitles if it's like like an English show for instance,

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Speaker 1: that you don't like. You can't pick up my accents

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Speaker 1: very well. Peaky is blinder, peaky, the blinders peaky. And

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Speaker 1: but in general, I think like a lot of people

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Speaker 1: leave it on, like I know, a lot of people

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Speaker 1: leave subtitles on. Take it off, you know, take it off,

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Speaker 1: enjoy the show, taking the visuals. Don't read the show

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Speaker 1: if you don't have to. Mm hmmm, I see, I

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Speaker 1: like it. I like it on me. Well, you know

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Speaker 1: that's what I said. You know, I guess that I'm

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Speaker 1: glad you came to fully implode your whole appearance here

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Speaker 1: on the show. So whenever what was gonna happen eventually, Yeah, yeah,

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Speaker 1: I know, but what better way than this? But for me,

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Speaker 1: it's mostly because like I'll be high and sometimes my

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Speaker 1: comprehension is better if I'm reading dialogue at certain times,

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Speaker 1: or if yeah, I think that's usually it, or like

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Speaker 1: in a case like Deadwood, like I had to keep

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Speaker 1: the subtitles on because everything was so fast paced and colloquial.

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Speaker 1: I did not know what was going on. And that's

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Speaker 1: a good point. Yeah, there are there are exceptions. That's

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Speaker 1: a very good point. There are exceptions. Thank you, thank

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Speaker 1: you so much for giving me, granting me a religious

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Speaker 1: exemption for that anytime. Yeah, sometimes that it will spoil

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Speaker 1: what you're watching, like the real will come on, come

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Speaker 1: in the subtitles before it's actually spoken. Yeah, Like when

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Speaker 1: I was watching Old Yeller, I saw bang in brackets

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Speaker 1: before they shot the dog. I like, I was like,

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Speaker 1: fuck a double way. I mean, you know, it will

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Speaker 1: also spoil comedy too, like in all yeah, like a

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Speaker 1: joke real quick where it's like, but you'll start laughing

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Speaker 1: before you know. If it's a really good show and

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Speaker 1: then they do the joke, it's it's a very odd

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Speaker 1: way to digest something. But yeah, yeah, I was. I

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Speaker 1: recently ruined like a really funny punch line in the

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Speaker 1: other two for having the subtitles on, and I was like,

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Speaker 1: Noah probably would have hit harder I saw that performance

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Speaker 1: rather than like I was like reading a script. And yeah,

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Speaker 1: to that point, I definitely agree with comedies, the timing

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Speaker 1: of the subtitles does not honor the timing of the delivery.

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Speaker 1: So sometimes the jokes are they land a bit better

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Speaker 1: when you hear them delivered exactly. I I read them

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Speaker 1: out loud while I'm watching it. Too. You know, let

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Speaker 1: my wife know that I predicted it, you know, like

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Speaker 1: I knew that subtimes too. That's but it'll be a

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Speaker 1: dead scene, you know, like a like a dead scene

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Speaker 1: where it's not like super high impact and just reading

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Speaker 1: it out it's just the most annoying thing that you

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Speaker 1: can complai. Yeah, whispering it like really loud, No, I

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Speaker 1: never loved you, or mouthing it. Yeah, we're all mouthing

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Speaker 1: it right now, but we don't. Yeah, it's a podcast,

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Speaker 1: but they've been robbed of that. Yes, squid game. I've

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Speaker 1: I've watched now half of the third episode. This is

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Speaker 1: how I watched TV. And you know, with kids, as

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Speaker 1: you watch until they wake up or you know, you

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Speaker 1: pass out sitting up. But it's you really can't funk

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Speaker 1: with your phone all that much while you're watching a

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Speaker 1: show that does require subtitles to understand, Like, yeah, you

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Speaker 1: gotta respect the material. M that because that that second episode,

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Speaker 1: and I don't know if you don't. I'm not going

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Speaker 1: to try and spoil anything. But there was like a

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Speaker 1: moment where there's this other character and I was like

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Speaker 1: I looked down for a second and missed all the

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Speaker 1: context around this character. And I'm like, what the wait,

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Speaker 1: where did this guy come from? And I was like

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Speaker 1: I had to stop and go back like five minutes

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Speaker 1: to realize. So, yeah, that's a I've never told anyone.

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Speaker 1: At the first time I saw the Country for Old

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Speaker 1: Men in the theater, I just spaced out at the

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Speaker 1: end when he was doing that speech and then it

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Speaker 1: like ended, and everyone's like wow, And I'm like I

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Speaker 1: had no clue, like no idea four years. Like for

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Speaker 1: for maybe four or five years, everyone talk about how

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Speaker 1: great it was. I'm like, yeah, it was great, but

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Speaker 1: I didn't know why it was great. Oh the Tommy

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Speaker 1: Lee Jones speech. Yeah, the Tommy Lee Jones speech. Could

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Speaker 1: did not hear a word of it, Like was staring,

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Speaker 1: but did not hear a single word of it. What

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Speaker 1: is something you think is underrated? Underrated? Owning as much

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Speaker 1: underwear as possible? Like and because whenever I do laundry,

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Speaker 1: it is almost always because I run out of like

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Speaker 1: clean boxer. I don't know why I felt it need

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Speaker 1: to clarify what type of but you have boxer briefs

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Speaker 1: and um what brand? Lucky brand? Actually? Wow? Yeah, when

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Speaker 1: you find a brand that works, I think you know,

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Speaker 1: for me, I stick with it and hopefully i'll you know,

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Speaker 1: get a couple not to make this a lucky brand commercial?

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Speaker 1: What why are you so brand loyal? What happened? It's so,

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Speaker 1: I mean if we I have like openings a thick

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Speaker 1: actually the smallest fly opening out of all, it's almost jokey. Yeah,

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Speaker 1: I find it. Yeah, it's it's comforting in that way

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Speaker 1: in there. Yeah, to be honest, it is like I

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Speaker 1: have like a thicker ass, and they're good for a

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Speaker 1: thick ass. So yeah, about sometimes you'll go, I'm in

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Speaker 1: a similar situation. I'm just thick thighed, and sometimes my

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Speaker 1: the waste won't be the same as what the leg

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Speaker 1: holes need to be. And I'm like, you'll either be

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Speaker 1: like this fucking super loose waste but the leg holes

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Speaker 1: fit right, or you're wearing something that your waist fits right,

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Speaker 1: but you are like actively cutting off, like like your

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Speaker 1: femoral artery is being constricted by the underwear. So I

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Speaker 1: feel that. Okay, i'mnna looking into that. Yeah, it's good,

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00:20:20,720 --> 00:20:24,119
Speaker 1: it's good. Try it. Yeah, yeah, yeah. I have four

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Speaker 1: pairs of box brief twins that are of all underwear,

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Speaker 1: just four pairs, So I four that are like recent

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Speaker 1: and you know, I really like those, and we'll do

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Speaker 1: laundry to get those. And then I have like twenty

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Speaker 1: pairs that are like disintegrating. Yeah, I don't like totally.

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Speaker 1: I'm I need to change those out. But is that okay?

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Speaker 1: Quick question for the this triumvirate we have here is

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Speaker 1: it is this dude is watching your father wear disintegrated

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Speaker 1: underwear because my dad one of my earliest memories been like,

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Speaker 1: I think my dad is is in a is in

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Speaker 1: a bad place because his underwear is disintegrating. And I

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00:21:07,040 --> 00:21:09,080
Speaker 1: remember early on my mom was like, you need no

377
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Speaker 1: wonder where, but he was like, no, it's fine, it's fine,

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Speaker 1: it's fine. And I'm like looking like the second you

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Speaker 1: said that, I was having a moment where I looked

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Speaker 1: at a pair of under and I got no, I

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00:21:17,640 --> 00:21:20,119
Speaker 1: I get a few more out of these. Yeah, And

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Speaker 1: I don't know why. But I don't know if that's

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00:21:22,160 --> 00:21:25,719
Speaker 1: learned or not. Now it wasn't learned for me. My

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00:21:25,800 --> 00:21:28,400
Speaker 1: dad was on top of this underwear game. And just

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Speaker 1: you know that a hepple fell real far from the tree. Yeah,

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Speaker 1: I think it is also the fact that no one

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Speaker 1: sees it. Really you know what I mean, where if

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Speaker 1: you had a tattered shirt, you people be like this

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00:21:43,200 --> 00:21:45,639
Speaker 1: guy's like is yeah in a bad plating. They're not

390
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Speaker 1: doing well, you know, But like tattered underwear, it's like, well,

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00:21:48,560 --> 00:21:52,359
Speaker 1: you know, it's still not necessarily uncomfortable, but you know,

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Speaker 1: recently I was like, you know what, you have worked

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Speaker 1: hard enough for a long enough that you don't need

394
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Speaker 1: to have like this b team of like rags, you

395
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Speaker 1: know what I mean, like in the thing. So but

396
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Speaker 1: but Jack, I can totally relate to what you're saying

397
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Speaker 1: as well. It's just a thing like I don't think

398
00:22:06,760 --> 00:22:10,080
Speaker 1: about I guess I just rocked the vapor wear sometimes,

399
00:22:10,520 --> 00:22:14,240
Speaker 1: you know, just falling apart, threadbear barely hanging onto the

400
00:22:14,240 --> 00:22:17,959
Speaker 1: waist band. And then sometimes I've like rage ripped them

401
00:22:18,040 --> 00:22:22,320
Speaker 1: up while they're on. Wow. Yeah, just like anger at

402
00:22:22,359 --> 00:22:25,040
Speaker 1: the like being in one of those like porcelain smashing rooms,

403
00:22:25,359 --> 00:22:28,840
Speaker 1: ripping off your own underwear, like like like I've done

404
00:22:28,840 --> 00:22:31,600
Speaker 1: that with a T shirt before. That is very satisfying.

405
00:22:31,640 --> 00:22:37,639
Speaker 1: It's very on a T shirt, but like wait, do

406
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Speaker 1: you have your pants on while you're shredding it off?

407
00:22:39,880 --> 00:22:43,640
Speaker 1: So you just like pull it's a trick. Oh yeah, Yeah, absolutely,

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Speaker 1: that's what makes you do on most of my first dates. Yeah,

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00:22:47,840 --> 00:22:50,960
Speaker 1: that's the closer he called that. That's that's how he

410
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Speaker 1: closed the deal. He'd tar off his own underwear. And

411
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Speaker 1: I mean you knew very quickly that was someone to

412
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Speaker 1: be like so put off by it that it ended there.

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Speaker 1: Or they would lie about being put off and say

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Speaker 1: that they had an appointment that they forgot they had.

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Speaker 1: And those were the only two scenario. I have an appointment,

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Speaker 1: or someone's like, oh my god, no, what is that. Alright,

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Speaker 1: let's take a quick break and we'll be back to

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Speaker 1: talk about the news. And we're back and Mark Zuckerberg,

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Speaker 1: you know, there's been a lot of negative talk negative

420
00:23:33,560 --> 00:23:38,119
Speaker 1: Nellie's out here in the news talking talking trash about Facebook,

421
00:23:38,240 --> 00:23:41,760
Speaker 1: and Mark Zuckerberg apparently just found out about it, and

422
00:23:41,800 --> 00:23:47,399
Speaker 1: he's like, huh, how is this is not? Is not

423
00:23:47,520 --> 00:23:50,679
Speaker 1: the company that I know? So he has decided to

424
00:23:50,720 --> 00:23:54,560
Speaker 1: post on looks like on Facebook to defend the company.

425
00:23:54,840 --> 00:23:59,399
Speaker 1: And yeah, he just sounds like he is a dictator

426
00:23:59,680 --> 00:24:04,879
Speaker 1: who just can't just through like sheer Will is trying

427
00:24:04,920 --> 00:24:09,600
Speaker 1: to convince people that none, none of these problems exist.

428
00:24:11,480 --> 00:24:15,040
Speaker 1: It's very much a gaslight job, like on his own employees,

429
00:24:15,160 --> 00:24:19,840
Speaker 1: because these people they're doing the fucking workful like these aren't.

430
00:24:20,240 --> 00:24:22,760
Speaker 1: These are just like lemmings who are like, please give

431
00:24:22,840 --> 00:24:25,359
Speaker 1: us are like if you're working in these different departments,

432
00:24:25,400 --> 00:24:28,840
Speaker 1: like Francis Hoagan was, they know exactly what's going on.

433
00:24:28,920 --> 00:24:31,200
Speaker 1: Because she's saying, these people are like in a lot

434
00:24:31,200 --> 00:24:34,359
Speaker 1: of these other subgroups are getting upset that there isn't action.

435
00:24:34,440 --> 00:24:37,480
Speaker 1: So he's saying, look, his first part of the letter

436
00:24:37,600 --> 00:24:39,840
Speaker 1: is him talking about like, oh, that was a big

437
00:24:39,880 --> 00:24:43,600
Speaker 1: boner on Monday Hunt with what'sapp going down? Oh, and

438
00:24:43,640 --> 00:24:45,760
Speaker 1: then he's like, I'm sure many of you have found

439
00:24:45,800 --> 00:24:49,520
Speaker 1: their recent coverage hard to read because it just doesn't

440
00:24:49,520 --> 00:24:52,600
Speaker 1: reflect the company we know. And again he will not

441
00:24:52,640 --> 00:24:55,720
Speaker 1: reference Francis Hoagan or referred to a whistle blow or

442
00:24:55,760 --> 00:24:58,639
Speaker 1: anything of that nature. Quote. We care deeply about issues

443
00:24:58,680 --> 00:25:01,399
Speaker 1: like safety, will being and meant all health. It's difficult

444
00:25:01,640 --> 00:25:04,760
Speaker 1: to see coverage that misrepresents our work and our motives.

445
00:25:04,920 --> 00:25:07,560
Speaker 1: At the most basic level. I think most of us

446
00:25:07,640 --> 00:25:10,879
Speaker 1: just don't recognize the false picture of the company that

447
00:25:11,040 --> 00:25:15,400
Speaker 1: is being painted. I'm I'm sorry about that. He goes

448
00:25:15,440 --> 00:25:18,280
Speaker 1: on to say many of the claims don't make any sense.

449
00:25:18,800 --> 00:25:21,240
Speaker 1: If we wanted to ignore research, why would we create

450
00:25:21,240 --> 00:25:25,160
Speaker 1: an industry leading research program to understand these important issues

451
00:25:25,280 --> 00:25:27,600
Speaker 1: in the first place. If we didn't care about fighting

452
00:25:27,640 --> 00:25:30,200
Speaker 1: harmful content, then why would we employ so many more

453
00:25:30,240 --> 00:25:33,080
Speaker 1: people dedicated to this than any other company in our space,

454
00:25:33,359 --> 00:25:36,440
Speaker 1: even ones larger than us. I'm sorry, who is larger

455
00:25:36,560 --> 00:25:41,360
Speaker 1: than them? Social media space? Yeah? What Google? I guess

456
00:25:41,400 --> 00:25:44,040
Speaker 1: because of ads maybe if that's if they're looking as

457
00:25:44,080 --> 00:25:46,480
Speaker 1: an ad business, But even then, I don't that's a

458
00:25:46,560 --> 00:25:49,920
Speaker 1: weird claim even you know, even the bigger guys are

459
00:25:49,920 --> 00:25:52,200
Speaker 1: doing stuff not as good as us, Like you're the

460
00:25:52,240 --> 00:25:54,639
Speaker 1: fucking giant of the land. I love that he got

461
00:25:54,720 --> 00:25:57,280
Speaker 1: a brag in there too, you know, like whenever someone's

462
00:25:57,320 --> 00:25:59,560
Speaker 1: writing an apology and they find a way to brag

463
00:25:59,600 --> 00:26:03,240
Speaker 1: as well, we have industry leading research. Just yeah, you

464
00:26:03,280 --> 00:26:04,960
Speaker 1: don't have to put that in there. But it's funny

465
00:26:05,000 --> 00:26:08,840
Speaker 1: because there's allegations about how research has been wound down,

466
00:26:08,920 --> 00:26:11,840
Speaker 1: and Francis Howgan was even saying that, like they're like

467
00:26:11,960 --> 00:26:14,840
Speaker 1: in Amy Colobus are their book touching on this fact

468
00:26:14,840 --> 00:26:17,280
Speaker 1: that some of the data is not available to people

469
00:26:17,320 --> 00:26:19,920
Speaker 1: who are actually trying to research a lot of this ship,

470
00:26:20,359 --> 00:26:24,000
Speaker 1: so that's not really true Mark, And also like, yeah,

471
00:26:24,520 --> 00:26:27,640
Speaker 1: just having a research body doesn't mean you're doing it

472
00:26:27,680 --> 00:26:32,000
Speaker 1: to fucking like Exxon was researching global warming. That doesn't

473
00:26:32,119 --> 00:26:36,600
Speaker 1: They're not like why would we have industry leading research.

474
00:26:36,720 --> 00:26:38,560
Speaker 1: It's because they have to know what the funk their

475
00:26:38,640 --> 00:26:41,280
Speaker 1: product does in the real world, and they're just like, okay, fun,

476
00:26:41,400 --> 00:26:44,240
Speaker 1: don't talk about that ship. So based on like all

477
00:26:44,240 --> 00:26:47,959
Speaker 1: the reading about in like the internal dynamics of Facebook,

478
00:26:48,080 --> 00:26:52,680
Speaker 1: they do the research. They hire people like Halgan who

479
00:26:52,960 --> 00:26:56,919
Speaker 1: do the research and make these recommendations, and it's not

480
00:26:57,240 --> 00:26:59,720
Speaker 1: usually I don't think they fire them. They just ignore

481
00:26:59,760 --> 00:27:02,040
Speaker 1: the funk out of them and promote the people who

482
00:27:02,080 --> 00:27:05,399
Speaker 1: come up with ways to you know, increase engagement. Like

483
00:27:05,440 --> 00:27:08,960
Speaker 1: it's it's just a it's a very passive way of

484
00:27:09,040 --> 00:27:12,600
Speaker 1: just you know, dealing with a problem by not dealing

485
00:27:12,640 --> 00:27:16,159
Speaker 1: with it. Basically, speaking of research body, if I was

486
00:27:16,200 --> 00:27:20,000
Speaker 1: to describe Mark Zuckerberg's physique, I'd call it a research body,

487
00:27:20,400 --> 00:27:24,399
Speaker 1: like that's that's how he looks. His other defense is

488
00:27:24,400 --> 00:27:27,640
Speaker 1: also really like quote and if social media where it's

489
00:27:27,680 --> 00:27:31,200
Speaker 1: responsible for polarizing society, as some people claim, then why

490
00:27:31,240 --> 00:27:33,760
Speaker 1: are we seeing polarization increase in the US while it

491
00:27:33,840 --> 00:27:36,840
Speaker 1: stays flat or declines in many countries with just as

492
00:27:36,880 --> 00:27:40,480
Speaker 1: heavy use of social media around the world. Well maybe

493
00:27:40,560 --> 00:27:44,399
Speaker 1: because you've been here longest. Yeah, it's a matter of time,

494
00:27:44,880 --> 00:27:48,439
Speaker 1: because it's not like you haven't seen like other political

495
00:27:48,920 --> 00:27:52,919
Speaker 1: unrest be explode out of people using Facebook. So I

496
00:27:52,960 --> 00:27:56,080
Speaker 1: don't exactly know what his claim is because he's clearly

497
00:27:56,080 --> 00:27:59,680
Speaker 1: avoiding things like ethnic cleansing that would be organized via

498
00:27:59,720 --> 00:28:03,920
Speaker 1: face book, because that's not polarizing. It's just another very

499
00:28:03,960 --> 00:28:07,200
Speaker 1: selective bit of data he's using to defend himself when

500
00:28:07,400 --> 00:28:10,280
Speaker 1: I think it's just clear that he's desperate and this

501
00:28:10,359 --> 00:28:13,960
Speaker 1: is all looks just fucking terrible. Yeah, And I like,

502
00:28:14,040 --> 00:28:19,000
Speaker 1: I do think that is probably an effective line of argumentation,

503
00:28:19,200 --> 00:28:23,040
Speaker 1: because it's true that, like social media isn't the only

504
00:28:23,160 --> 00:28:28,879
Speaker 1: reason that polarization is increasing in the US, But I

505
00:28:28,920 --> 00:28:32,679
Speaker 1: don't know, it's just very it is an ingredient. And also,

506
00:28:32,800 --> 00:28:36,720
Speaker 1: like you said, there have been plenty of incidents where

507
00:28:36,920 --> 00:28:44,040
Speaker 1: it escalated wildly and incredibly dangerously in other in other countries. Yeah, exactly.

508
00:28:44,080 --> 00:28:47,040
Speaker 1: And you know, people are like, do you have you

509
00:28:47,080 --> 00:28:49,360
Speaker 1: looked in what's going on? In you know, me and

510
00:28:49,400 --> 00:28:53,840
Speaker 1: mar and like, okay, whatever, we'll just we'll just look

511
00:28:54,160 --> 00:28:57,800
Speaker 1: away from the glaring lights. And then this other one

512
00:28:57,840 --> 00:29:01,880
Speaker 1: is just fantastic. The argument we deliberately push content that

513
00:29:01,960 --> 00:29:06,120
Speaker 1: makes people angry for profit is deeply illogical. We make

514
00:29:06,200 --> 00:29:10,080
Speaker 1: money from ads, and advertisers consistently tell us they don't

515
00:29:10,120 --> 00:29:12,959
Speaker 1: want their ads next to harmful or angry content. And

516
00:29:13,000 --> 00:29:15,520
Speaker 1: I don't know any tech company that sets out to

517
00:29:15,520 --> 00:29:18,840
Speaker 1: build products that make people angry or depressed. The moral,

518
00:29:19,120 --> 00:29:24,760
Speaker 1: business and product incentives all point in the opposite direction. Okay,

519
00:29:24,760 --> 00:29:27,600
Speaker 1: that maybe, but I'm not sure. Again, this is another

520
00:29:27,640 --> 00:29:31,000
Speaker 1: thing where, of course advertisers aren't like, yeah, man, put

521
00:29:31,000 --> 00:29:33,680
Speaker 1: my ship next to like the most violent fucking video.

522
00:29:34,160 --> 00:29:37,320
Speaker 1: The whole thing is you go to Facebook because of clicks.

523
00:29:37,440 --> 00:29:41,400
Speaker 1: Any advertiser online goes to a media property for clicks

524
00:29:41,640 --> 00:29:45,800
Speaker 1: or engagement and like, and just as Francis Hogan said,

525
00:29:46,440 --> 00:29:49,400
Speaker 1: more engagement is the thing that you can hold up

526
00:29:49,400 --> 00:29:51,040
Speaker 1: in front of people who are trying to buy ads

527
00:29:51,040 --> 00:29:53,560
Speaker 1: and they go, oh fuck, yeah, so it's popping over there.

528
00:29:53,880 --> 00:29:56,520
Speaker 1: That's where I'm trying to put my advertiser where there's

529
00:29:56,520 --> 00:30:00,280
Speaker 1: a lot of activity. So even this one, it's so

530
00:30:00,760 --> 00:30:04,960
Speaker 1: deeply illogical that this would how could that occur? Yeah,

531
00:30:05,000 --> 00:30:08,440
Speaker 1: it's easy to recategorize like things like that and be like, well,

532
00:30:08,480 --> 00:30:12,000
Speaker 1: that's not designed to make people angry. They're interested in

533
00:30:12,160 --> 00:30:15,120
Speaker 1: for this other reason, Like that's it's just such a

534
00:30:15,200 --> 00:30:19,800
Speaker 1: vague explanation for like that allows them to just sort

535
00:30:19,840 --> 00:30:23,640
Speaker 1: of recategorize things and let themselves off the hook. Yeah.

536
00:30:23,680 --> 00:30:28,640
Speaker 1: It's also a very inhuman response to a deeply human issue,

537
00:30:29,080 --> 00:30:31,400
Speaker 1: you know what I mean, where like these issues that

538
00:30:31,440 --> 00:30:35,440
Speaker 1: people like the collateral damage that social media does are

539
00:30:35,640 --> 00:30:38,840
Speaker 1: mental health. It's mental health. It's deeply human issues. And

540
00:30:38,880 --> 00:30:42,520
Speaker 1: when you respond to it in such an analytical, you know,

541
00:30:42,640 --> 00:30:47,360
Speaker 1: like computerized way, like completely Yeah, it just shows the

542
00:30:47,360 --> 00:30:52,120
Speaker 1: exact problem the situation, like, well, know that the money

543
00:30:52,160 --> 00:30:54,160
Speaker 1: comes in and that business is doing wean we're not

544
00:30:54,240 --> 00:30:58,040
Speaker 1: actively trying to do Yeah, maybe not deliberately, but it's

545
00:30:58,120 --> 00:31:01,280
Speaker 1: you're the way things are set up, that's where you're incentivized.

546
00:31:01,480 --> 00:31:06,000
Speaker 1: So what are you saying here? But the last paragraph

547
00:31:06,240 --> 00:31:09,440
Speaker 1: is like sounds like some evil villain that runs like

548
00:31:09,480 --> 00:31:14,360
Speaker 1: this dystopian society. Oh wait, that is just him, he says.

549
00:31:14,840 --> 00:31:16,920
Speaker 1: When I reflect on our work, I think about the

550
00:31:16,960 --> 00:31:19,000
Speaker 1: real impact we have in the world. The people who

551
00:31:19,080 --> 00:31:21,280
Speaker 1: can now stay in touch with their loved ones, create

552
00:31:21,280 --> 00:31:24,800
Speaker 1: opportunities to support themselves and find community. This is why

553
00:31:24,840 --> 00:31:27,600
Speaker 1: billions of people love our products. I'm proud of everything

554
00:31:27,640 --> 00:31:29,880
Speaker 1: we do to keep building the best social products in

555
00:31:29,920 --> 00:31:32,200
Speaker 1: the world, and grateful to all of you for the

556
00:31:32,240 --> 00:31:38,760
Speaker 1: work you do here every day. Yeah sure, Okay, Well,

557
00:31:39,320 --> 00:31:42,600
Speaker 1: you know, I'm really curious to see what his inner

558
00:31:42,640 --> 00:31:45,719
Speaker 1: thought processes around this, because I'm sure that Richard Blumenthal thing,

559
00:31:45,720 --> 00:31:51,040
Speaker 1: where's like yes ZARKI Zark Zark Muckerberg, Mark Zuckerberg needs

560
00:31:51,080 --> 00:31:53,680
Speaker 1: to get in here and explain a lot of these

561
00:31:53,720 --> 00:31:56,680
Speaker 1: things out loud and not just be like a senator.

562
00:31:56,800 --> 00:32:00,840
Speaker 1: That's highly illogical. Um to say that, I don't know

563
00:32:00,880 --> 00:32:03,280
Speaker 1: what that would look like, but it's it's hard to

564
00:32:03,280 --> 00:32:05,400
Speaker 1: I don't know how you dance around really direct questions

565
00:32:05,440 --> 00:32:10,600
Speaker 1: given Francis Hoggins testimony, and to just equate the fact

566
00:32:10,640 --> 00:32:16,000
Speaker 1: that they get money for ads and advertisers like keep

567
00:32:16,040 --> 00:32:20,800
Speaker 1: paying with they're not being a social problem is just

568
00:32:20,920 --> 00:32:25,680
Speaker 1: so like, you know, it's it's just the most base

569
00:32:25,800 --> 00:32:30,640
Speaker 1: level like market make good. Everything good gets market bucks,

570
00:32:31,200 --> 00:32:34,239
Speaker 1: and the thing that they the reason that they are

571
00:32:34,280 --> 00:32:37,720
Speaker 1: so dominant in advertising is the level of data that

572
00:32:37,760 --> 00:32:40,920
Speaker 1: they've collected about anyone. It has nothing to do with

573
00:32:40,960 --> 00:32:43,320
Speaker 1: like why people are on the site in the first place,

574
00:32:43,400 --> 00:32:47,880
Speaker 1: Like they have unprecedented amounts of information and like these

575
00:32:48,080 --> 00:32:53,000
Speaker 1: psychological profiles of people that are you know, things that

576
00:32:53,600 --> 00:32:56,840
Speaker 1: if you had told an advertiser about it twenty years ago,

577
00:32:56,880 --> 00:32:59,560
Speaker 1: they would have fucking shot in their pants, Like it's

578
00:32:59,600 --> 00:33:04,160
Speaker 1: the best thing that they could possibly imagine. And yeah,

579
00:33:04,200 --> 00:33:06,800
Speaker 1: the fact the fact that people are willing to pay

580
00:33:06,840 --> 00:33:10,000
Speaker 1: for that has nothing to do with like the the

581
00:33:10,080 --> 00:33:12,880
Speaker 1: idea that you're doing it for the right reason or

582
00:33:13,000 --> 00:33:15,880
Speaker 1: using it in a non evil way. Sorry for the

583
00:33:15,920 --> 00:33:20,800
Speaker 1: shot and the pants thing, it's just picturing Don Draper

584
00:33:21,240 --> 00:33:27,040
Speaker 1: just hearing about Facebook and you know what, Oh my god, Yeah,

585
00:33:26,480 --> 00:33:30,400
Speaker 1: truly a let's talk about um January six Commission or

586
00:33:30,440 --> 00:33:35,000
Speaker 1: the Congressional January six Committee, because there are some pretty

587
00:33:35,080 --> 00:33:39,400
Speaker 1: key players Dance Cavino, Mark Meadows, Steve Bannon, Cash Patel,

588
00:33:39,600 --> 00:33:43,120
Speaker 1: who are all Trumpers that have been subpoena to testify

589
00:33:43,200 --> 00:33:46,920
Speaker 1: in front of the Congressional January six Committee, and they're

590
00:33:47,040 --> 00:33:52,840
Speaker 1: they're just like kind of ignoring it. Yeah, like they say,

591
00:33:52,880 --> 00:33:57,200
Speaker 1: of like everyone except dance Govino they think has been served.

592
00:33:57,480 --> 00:34:01,320
Speaker 1: But apparently dance Govino is just acting like a regular

593
00:34:01,520 --> 00:34:04,880
Speaker 1: Prince Andrew in his attempts to duck process servers and

594
00:34:04,960 --> 00:34:07,160
Speaker 1: just going too like a hidi hole to be like,

595
00:34:07,640 --> 00:34:09,880
Speaker 1: I don't know anything about him, so you have to

596
00:34:09,920 --> 00:34:13,640
Speaker 1: serve someone else. But despite all of that happening, it

597
00:34:13,640 --> 00:34:16,400
Speaker 1: looks like even if they're served, their game plan is

598
00:34:16,440 --> 00:34:19,719
Speaker 1: just to fucking ignore the subpoenas because Trump told them

599
00:34:19,719 --> 00:34:22,200
Speaker 1: to and there's you know, the same thing blah blah

600
00:34:22,239 --> 00:34:25,360
Speaker 1: blah executive privilege. Do they have a plan? There's like

601
00:34:25,400 --> 00:34:28,240
Speaker 1: in this Guardian article, people like, it doesn't really seem

602
00:34:28,320 --> 00:34:33,240
Speaker 1: like there's a plan here, more so that they would

603
00:34:33,280 --> 00:34:36,200
Speaker 1: probably just try and run out the fucking clock and

604
00:34:36,360 --> 00:34:38,960
Speaker 1: hope the Republicans take the House back by the mid

605
00:34:39,120 --> 00:34:44,600
Speaker 1: terms and then what January six commission are we talking about? Yeah,

606
00:34:44,719 --> 00:34:46,799
Speaker 1: so a bit of a cynical play from them, but

607
00:34:46,840 --> 00:34:49,440
Speaker 1: I expect nothing less from people who are you know,

608
00:34:49,560 --> 00:34:52,879
Speaker 1: hell bent on just you know, overturning an election. But yeah,

609
00:34:53,080 --> 00:34:54,960
Speaker 1: you know, people in the committee though, have said from

610
00:34:55,000 --> 00:34:56,799
Speaker 1: the beginning, like this isn't gonna be the same as

611
00:34:56,840 --> 00:34:58,319
Speaker 1: like when Trump was in the White House, how we're

612
00:34:58,320 --> 00:35:02,880
Speaker 1: going to handle executive privilege. Sure, Mark Meadows and Scovino,

613
00:35:03,040 --> 00:35:05,160
Speaker 1: they definitely worked in the West Wing, so there is

614
00:35:05,200 --> 00:35:08,520
Speaker 1: an element there of executive privilege. But in terms of

615
00:35:08,560 --> 00:35:11,440
Speaker 1: like using that to like not comply with this subpoena

616
00:35:12,120 --> 00:35:14,080
Speaker 1: there they have been saying like we we will issue

617
00:35:14,120 --> 00:35:17,120
Speaker 1: criminal referrals like if we if if we're being ignored.

618
00:35:17,920 --> 00:35:21,720
Speaker 1: I hope that's what happens. Part of me, just looking

619
00:35:21,760 --> 00:35:25,120
Speaker 1: at the data set of the American legal system and

620
00:35:25,160 --> 00:35:28,400
Speaker 1: how powerful white men are able to get away with anything,

621
00:35:28,840 --> 00:35:32,040
Speaker 1: I'm a little bit worried that that might not happen.

622
00:35:32,520 --> 00:35:34,520
Speaker 1: But it also seems like, you know, many of the

623
00:35:34,520 --> 00:35:37,600
Speaker 1: people on the committee are really interested in at least

624
00:35:37,640 --> 00:35:41,200
Speaker 1: trying to find some semblance of accountability. But it's like

625
00:35:41,200 --> 00:35:42,680
Speaker 1: one of those things where you just kind of like,

626
00:35:43,040 --> 00:35:47,480
Speaker 1: wait and see. I guess yes, speaking of powerful white men,

627
00:35:47,760 --> 00:35:50,799
Speaker 1: I had a very scary situation recently where I saw

628
00:35:50,920 --> 00:35:55,600
Speaker 1: Steve Bannon wearing the same coat that I own, and

629
00:35:56,000 --> 00:35:59,360
Speaker 1: it was absolutely horrifying. Where I was really really excited

630
00:35:59,360 --> 00:36:02,680
Speaker 1: about by d coat and then saw Steve Bannon wearing

631
00:36:02,760 --> 00:36:05,200
Speaker 1: it was a barber coat wearing the same brand, and

632
00:36:05,239 --> 00:36:07,000
Speaker 1: I'm like, well, I don't know what the funk to

633
00:36:07,120 --> 00:36:09,720
Speaker 1: know what I think about anything anymore? To be true,

634
00:36:09,880 --> 00:36:11,600
Speaker 1: I don't know. I guess if I have the same

635
00:36:11,640 --> 00:36:15,040
Speaker 1: fashion sense is that pig, I should probably just let

636
00:36:15,080 --> 00:36:20,759
Speaker 1: someone else shop for me. You are wearing three three

637
00:36:20,800 --> 00:36:23,680
Speaker 1: colored shirts right now, on top of each other, the

638
00:36:23,800 --> 00:36:30,200
Speaker 1: only the middle collars popped the other or appropriately pressed down. Yeah,

639
00:36:30,280 --> 00:36:35,200
Speaker 1: he really loves that coat, huh. I feel like he

640
00:36:35,280 --> 00:36:40,160
Speaker 1: has on like five J Crew outfits at any given time,

641
00:36:40,480 --> 00:36:43,600
Speaker 1: just like on top of each other. Yeah. So I

642
00:36:43,640 --> 00:36:46,520
Speaker 1: guess it maybe looks more balling if you wear like

643
00:36:47,080 --> 00:36:49,560
Speaker 1: multiple pieces of clothing, like just so you know, like

644
00:36:49,680 --> 00:36:51,759
Speaker 1: you maybe you may have three hundred dollars or the

645
00:36:51,760 --> 00:36:53,920
Speaker 1: clothing on, but I have seven thousand dollars or the

646
00:36:53,920 --> 00:36:57,120
Speaker 1: clothing because I'm wearing fourteen shirts and thirteen pairs of pants. Yeah.

647
00:36:57,160 --> 00:37:00,800
Speaker 1: So he's actually a very slender man. We just couldn't

648
00:37:00,800 --> 00:37:05,360
Speaker 1: tell because of you never know, you've been wearing the

649
00:37:05,400 --> 00:37:08,200
Speaker 1: whole time, just big fear of his losing his clothes,

650
00:37:08,480 --> 00:37:17,080
Speaker 1: This big and greatest fear that in America, his greatest

651
00:37:17,120 --> 00:37:20,800
Speaker 1: fears are doing the right thing is number one, losing

652
00:37:21,000 --> 00:37:24,480
Speaker 1: and losing all my clothes just a serious interview, and like,

653
00:37:24,760 --> 00:37:26,799
Speaker 1: I mean, it's it's I know it may sound weird,

654
00:37:26,880 --> 00:37:29,279
Speaker 1: but if you've ever lost all your clothes, it's it's

655
00:37:29,320 --> 00:37:31,680
Speaker 1: a frightening prospect. And I just want allowed myself. I

656
00:37:31,800 --> 00:37:34,400
Speaker 1: just want allow that to happen to me. Steve, what happened?

657
00:37:35,840 --> 00:37:39,080
Speaker 1: How did you lose your clothes? It went to a wedding. Look,

658
00:37:39,239 --> 00:37:42,120
Speaker 1: they lost my baggage. I had to wear a suit

659
00:37:42,200 --> 00:37:44,040
Speaker 1: that was a little too baggy for me, and it

660
00:37:44,120 --> 00:37:46,359
Speaker 1: was just Ever since then, I vowed to always wear

661
00:37:46,360 --> 00:37:49,960
Speaker 1: on my clothes. People kept talking about the Emperor has

662
00:37:50,440 --> 00:37:54,520
Speaker 1: new Emperor's new clothes around like around the Trump administration.

663
00:37:54,920 --> 00:38:01,239
Speaker 1: He finally read it and was like, oh no, that

664
00:38:01,360 --> 00:38:04,040
Speaker 1: went the opposite direction. Just in case some of these

665
00:38:04,040 --> 00:38:06,840
Speaker 1: are invisible, I want to guarantee no one sees me naked.

666
00:38:07,200 --> 00:38:13,400
Speaker 1: Yeah about at fourteen cultures. All right, let's take another

667
00:38:13,480 --> 00:38:15,680
Speaker 1: quick break and we will be right back to talk.

668
00:38:15,800 --> 00:38:31,719
Speaker 1: Havanna syndrome. Havannah good time, and we're back and so

669
00:38:32,040 --> 00:38:38,359
Speaker 1: BuzzFeed released a de classified scientific review of the attacks

670
00:38:38,360 --> 00:38:42,480
Speaker 1: that have been described as Havannah syndrome. That the attacks

671
00:38:42,480 --> 00:38:45,279
Speaker 1: should be in quotes, because they found what we had

672
00:38:45,320 --> 00:38:47,719
Speaker 1: suspected what a lot of people have talked about, that

673
00:38:47,840 --> 00:38:51,080
Speaker 1: the noises that they were associating with the attacks that

674
00:38:51,600 --> 00:38:56,880
Speaker 1: first happened in Havannah were crickets and it was a

675
00:38:57,040 --> 00:39:00,239
Speaker 1: D classified like State Department studies. So it's not this

676
00:39:00,280 --> 00:39:05,239
Speaker 1: isn't like an outside researcher, this is like what they

677
00:39:05,320 --> 00:39:10,080
Speaker 1: have learned themselves. Now, around this time, the Biden administration

678
00:39:10,160 --> 00:39:15,120
Speaker 1: had started referring to Havana syndrome is unexplained health incidents,

679
00:39:15,600 --> 00:39:18,279
Speaker 1: which kind of suggested they were backing off of the

680
00:39:18,320 --> 00:39:22,400
Speaker 1: idea that they were deliberate attacks from you know, adversaries.

681
00:39:22,520 --> 00:39:27,840
Speaker 1: But because that became a story, they now have issued

682
00:39:27,880 --> 00:39:31,000
Speaker 1: a new report that seemed to back and like jump

683
00:39:31,080 --> 00:39:35,680
Speaker 1: back into the this is an attack camp because the

684
00:39:35,719 --> 00:39:40,160
Speaker 1: people who you know, are suffering the symptoms believe that

685
00:39:40,200 --> 00:39:44,600
Speaker 1: they were attacked and that they're very sensitive understandably about

686
00:39:44,960 --> 00:39:49,400
Speaker 1: because we're in their country attacking them, right exactly, So

687
00:39:49,520 --> 00:39:54,160
Speaker 1: you very much would be the fuck. Okay, I'm just

688
00:39:54,320 --> 00:39:57,160
Speaker 1: I'm just a nurse, that's all. I am, not a CIA.

689
00:39:58,120 --> 00:40:02,760
Speaker 1: But yeah, the Miami Harold Peace about like the new

690
00:40:03,080 --> 00:40:07,560
Speaker 1: this new direction quotes a and the this is a

691
00:40:07,600 --> 00:40:11,120
Speaker 1: trend senior administration official, but no name. We need to

692
00:40:11,160 --> 00:40:14,240
Speaker 1: believe our personnel who are coming forward, people are facing

693
00:40:14,280 --> 00:40:18,399
Speaker 1: real symptoms. We are very conscious that people are experiencing

694
00:40:18,440 --> 00:40:21,040
Speaker 1: something very real and it's having a real negative effect

695
00:40:21,040 --> 00:40:24,480
Speaker 1: on their health health and we're seeing better health outcomes

696
00:40:24,520 --> 00:40:26,440
Speaker 1: the sooner we can respond to that. So it's like

697
00:40:26,640 --> 00:40:29,319
Speaker 1: they're trying to treat it as though it's a real thing,

698
00:40:29,400 --> 00:40:32,440
Speaker 1: because it is, as we've talked about functional disorders, like

699
00:40:32,480 --> 00:40:36,440
Speaker 1: they're the real thing. That these people are experiencing real symptoms,

700
00:40:36,719 --> 00:40:39,520
Speaker 1: they're not just making them up, but that it is

701
00:40:39,640 --> 00:40:44,399
Speaker 1: probably a neurological and you know, a stress based thing.

702
00:40:44,600 --> 00:40:49,200
Speaker 1: That and that is the thing that explanation is very

703
00:40:49,200 --> 00:40:54,879
Speaker 1: offensive to anybody who is suffering from this. And so

704
00:40:55,080 --> 00:40:59,480
Speaker 1: that there's this new article from Jacobin that just kind

705
00:40:59,480 --> 00:41:04,000
Speaker 1: of puts this in the context of a bunch of

706
00:41:04,040 --> 00:41:07,160
Speaker 1: different stories over the course of like the last twenty

707
00:41:07,160 --> 00:41:11,640
Speaker 1: five years that have been kind of adopted and just

708
00:41:11,800 --> 00:41:16,799
Speaker 1: repeated by the mainstream media because they are you know,

709
00:41:16,880 --> 00:41:22,280
Speaker 1: they go in the direction of like helping America maintain

710
00:41:22,440 --> 00:41:26,760
Speaker 1: an aggressive foreign policy. So they start with a Havna

711
00:41:26,840 --> 00:41:30,560
Speaker 1: syndrome reporting and just like all the different headlines that

712
00:41:30,640 --> 00:41:35,880
Speaker 1: flatly state that Cuba attacked US diplomats, which you know

713
00:41:35,880 --> 00:41:39,560
Speaker 1: are generally CIA agents, and you know, pointing out that

714
00:41:39,760 --> 00:41:44,160
Speaker 1: any time somebody is quoted, it's always they're always quoted

715
00:41:44,320 --> 00:41:49,840
Speaker 1: on background, or they're quoted as like a unidentified administration official,

716
00:41:50,360 --> 00:41:53,839
Speaker 1: and they point out like this is this happened immediately

717
00:41:53,880 --> 00:41:58,040
Speaker 1: after Trump indicated that they were going his administration was

718
00:41:58,080 --> 00:42:01,000
Speaker 1: going to go like hard in the opposite direction of

719
00:42:01,000 --> 00:42:04,280
Speaker 1: the Obama administration, start being like really hostile towards Cuba.

720
00:42:04,800 --> 00:42:08,920
Speaker 1: And then this event happened, and they seized on it

721
00:42:08,960 --> 00:42:13,799
Speaker 1: and started ramping up their negative foreign policy. But they

722
00:42:13,880 --> 00:42:17,279
Speaker 1: kind of put it in the context of you know,

723
00:42:17,920 --> 00:42:21,240
Speaker 1: the New York Times, all these mainstream media outlets trusting

724
00:42:21,239 --> 00:42:25,480
Speaker 1: military officials on things like Russia Gate, which in addition

725
00:42:25,560 --> 00:42:30,800
Speaker 1: to being hostile towards Trump, was also allowed the military

726
00:42:30,840 --> 00:42:35,319
Speaker 1: to make Russia seem more dangerous. And you know, with

727
00:42:35,360 --> 00:42:38,239
Speaker 1: a lot of the Iran reporting towards the end of

728
00:42:38,280 --> 00:42:42,600
Speaker 1: the Trump administration, because they were trying to justify a

729
00:42:43,520 --> 00:42:45,120
Speaker 1: like this says Iran on it. I don't know if

730
00:42:45,160 --> 00:42:46,960
Speaker 1: what you want to do with that, maybe do a war.

731
00:42:47,120 --> 00:42:51,719
Speaker 1: I don't I don't know, I don't know. There's no

732
00:42:52,120 --> 00:42:53,719
Speaker 1: we don't have a pattern of doing that at all

733
00:42:53,760 --> 00:42:56,680
Speaker 1: in this country. Yeah, but it just reminds me of

734
00:42:56,719 --> 00:42:59,839
Speaker 1: like the you know, we talked about the news real

735
00:43:00,080 --> 00:43:03,600
Speaker 1: ying on police sources and especially like for the local news,

736
00:43:03,719 --> 00:43:06,400
Speaker 1: and like, you know, the guys with guns are the

737
00:43:06,440 --> 00:43:10,680
Speaker 1: sources that they need to satisfy like audience blood lust,

738
00:43:10,840 --> 00:43:13,879
Speaker 1: and like their willingness to chase that blood lust makes

739
00:43:13,920 --> 00:43:16,359
Speaker 1: it so that we live in a world that we

740
00:43:16,440 --> 00:43:20,560
Speaker 1: think is more dangerous and keeps people tuning in, and

741
00:43:20,600 --> 00:43:23,880
Speaker 1: it also just creates this sort of feedback loop where

742
00:43:24,520 --> 00:43:28,400
Speaker 1: you know, the version of like the world that exists

743
00:43:28,400 --> 00:43:31,840
Speaker 1: in the minds of the military and the police gets

744
00:43:31,920 --> 00:43:34,360
Speaker 1: like filtered back to us over and over again, and

745
00:43:34,400 --> 00:43:38,160
Speaker 1: it's just, you know, why, why is that, Like after

746
00:43:38,719 --> 00:43:44,920
Speaker 1: the most catastrophic like mistake in the you know, recent

747
00:43:45,000 --> 00:43:47,879
Speaker 1: history of America going to war and Iraq was like

748
00:43:48,320 --> 00:43:51,239
Speaker 1: turned out to be based on a complete lie, you'd

749
00:43:51,280 --> 00:43:55,239
Speaker 1: think that the mainstream media would have like altered their

750
00:43:55,320 --> 00:43:58,080
Speaker 1: approach a little bit and been a little bit more

751
00:43:58,200 --> 00:44:00,600
Speaker 1: willing to pump the brakes on ship like this, But

752
00:44:01,040 --> 00:44:04,680
Speaker 1: it just seems like that is as currently constituted, Like

753
00:44:04,760 --> 00:44:09,360
Speaker 1: unless something kind of dramatically changes, the mainstream media will

754
00:44:10,280 --> 00:44:14,239
Speaker 1: let the military feed them, you know, bullshit. I think

755
00:44:14,280 --> 00:44:18,279
Speaker 1: that the tolerance for bullshit stories from the Pentagon is

756
00:44:18,360 --> 00:44:22,080
Speaker 1: higher because they're all they all have a relationship with

757
00:44:22,120 --> 00:44:24,320
Speaker 1: each other. You know. It's like you have a homie

758
00:44:24,320 --> 00:44:27,040
Speaker 1: who may bend the truth from time to time. You're like, Okay,

759
00:44:27,040 --> 00:44:29,040
Speaker 1: all right, that wasn't the best thing, but we're still

760
00:44:29,080 --> 00:44:31,920
Speaker 1: good because I know you. And it's the same thing,

761
00:44:31,960 --> 00:44:35,359
Speaker 1: like you'll get burned by just straight up misinformation from

762
00:44:35,400 --> 00:44:38,200
Speaker 1: the Pentagon, and still it's like, no, it's all good,

763
00:44:38,360 --> 00:44:40,560
Speaker 1: like you don't worry about it, Like we gotta keep

764
00:44:40,560 --> 00:44:43,000
Speaker 1: this thing going. You know, General Electric and the Pentagon

765
00:44:43,120 --> 00:44:45,560
Speaker 1: do some good business together. And we're also NBC, so

766
00:44:45,800 --> 00:44:48,000
Speaker 1: you know, well let's let's you know, we're not gonna

767
00:44:48,040 --> 00:44:50,880
Speaker 1: make it too hot for anybody. Yeah, can I be

768
00:44:50,920 --> 00:44:53,239
Speaker 1: honest about this before we move on, just real quick.

769
00:44:53,520 --> 00:44:59,799
Speaker 1: I think this Havana syndrome is jamaking me crazy? Are

770
00:44:59,840 --> 00:45:02,280
Speaker 1: you you gotta have they had a tough time about

771
00:45:02,719 --> 00:45:06,120
Speaker 1: I'm having a tough time the vents and it's the

772
00:45:06,120 --> 00:45:12,919
Speaker 1: sword of God. I'm being serious. I know it's making

773
00:45:12,920 --> 00:45:19,000
Speaker 1: the problems, that's the problem. Oh man, Yeah, I mean

774
00:45:19,120 --> 00:45:22,920
Speaker 1: so many reporters like get into the game because they

775
00:45:22,920 --> 00:45:25,799
Speaker 1: would like want to be war correspondents, like they have

776
00:45:26,000 --> 00:45:29,400
Speaker 1: that like kind of you know, they grew up on

777
00:45:29,880 --> 00:45:32,359
Speaker 1: the idea of like going to Vietnam and being a

778
00:45:32,360 --> 00:45:36,080
Speaker 1: reporter on that or you know, and it just you know,

779
00:45:36,200 --> 00:45:39,120
Speaker 1: as Blake, I think you were suggesting as jamaking them crazy.

780
00:45:39,640 --> 00:45:42,040
Speaker 1: It is and that's exactly not even suggesting just what

781
00:45:42,120 --> 00:45:44,480
Speaker 1: I was pointed Lee saying, I think there's no room

782
00:45:44,520 --> 00:45:48,520
Speaker 1: for interpretation there. In college, I had a I took

783
00:45:48,560 --> 00:45:52,000
Speaker 1: a class called war reporting, and my professor was a

784
00:45:52,040 --> 00:45:56,560
Speaker 1: former like embedded journalist, and he would never he would

785
00:45:56,600 --> 00:45:59,600
Speaker 1: always just show us movies and we would never were

786
00:45:59,680 --> 00:46:02,320
Speaker 1: like it's like, why, like you have the most interesting

787
00:46:02,400 --> 00:46:05,440
Speaker 1: story in the world, why wouldn't you just teach us?

788
00:46:05,800 --> 00:46:07,960
Speaker 1: And then one day there was this growing class like

789
00:46:08,000 --> 00:46:11,279
Speaker 1: who just well, maybe like laid in a little too hard,

790
00:46:11,360 --> 00:46:13,400
Speaker 1: being like all you do is show us movies, Like

791
00:46:13,520 --> 00:46:15,840
Speaker 1: why don't you actually instruct us and tell us what

792
00:46:15,920 --> 00:46:19,840
Speaker 1: it was like being there? And a forty five minutes

793
00:46:19,880 --> 00:46:24,440
Speaker 1: story of one of the most emotionally traumatizing things I've

794
00:46:24,480 --> 00:46:26,680
Speaker 1: ever heard in my entire life. The one time he

795
00:46:26,760 --> 00:46:29,360
Speaker 1: ever told a story about his time and war, about

796
00:46:29,360 --> 00:46:32,040
Speaker 1: how his guide was like murdered right in front of him,

797
00:46:32,239 --> 00:46:34,800
Speaker 1: and then the whole class was like completely silent. Negoes

798
00:46:35,480 --> 00:46:36,960
Speaker 1: all right, I think we're done for the day, and

799
00:46:37,000 --> 00:46:38,759
Speaker 1: then he and we're like never asked him to talk

800
00:46:38,760 --> 00:46:40,879
Speaker 1: about it again. We just watched movies for the rest

801
00:46:40,920 --> 00:46:43,040
Speaker 1: of the semester because it was that. It's like, yeah,

802
00:46:43,080 --> 00:46:44,800
Speaker 1: that's why he doesn't talk about it, you know what

803
00:46:44,840 --> 00:46:48,000
Speaker 1: I mean. Anyway, this random side note, but seriously, that

804
00:46:48,000 --> 00:46:50,680
Speaker 1: that JA made me sane. That the joke doesn't work

805
00:46:50,719 --> 00:46:53,640
Speaker 1: when you change it. That JA made me sane. You

806
00:46:53,760 --> 00:46:58,919
Speaker 1: can workshop that one. Yeah, come back, that's the fun.

807
00:46:59,000 --> 00:47:01,399
Speaker 1: Well we came up with okay, yeah, yeah, that's fine.

808
00:47:01,440 --> 00:47:03,200
Speaker 1: I think it will stand. Just maybe it's give it

809
00:47:03,239 --> 00:47:05,960
Speaker 1: a few years. Yeah yeah, we'll just we'll come back.

810
00:47:05,960 --> 00:47:11,879
Speaker 1: Pittsford will do the the red Yeah, alright, let's talk

811
00:47:11,920 --> 00:47:15,160
Speaker 1: about the War on Christmas. That was the war that

812
00:47:15,200 --> 00:47:18,120
Speaker 1: he was embedded in. By the way he was embedded

813
00:47:18,360 --> 00:47:24,720
Speaker 1: in the War on Christmas, it's uh it's begun. Fauci

814
00:47:24,920 --> 00:47:28,520
Speaker 1: said in an interview that it's just too soon to

815
00:47:28,600 --> 00:47:32,520
Speaker 1: tell whether holiday gatherings will need to be restricted due

816
00:47:32,560 --> 00:47:34,480
Speaker 1: to the pandemic for a second year in a row,

817
00:47:35,120 --> 00:47:42,200
Speaker 1: which is here he goes alarm. It doesn't really say anything.

818
00:47:42,560 --> 00:47:44,879
Speaker 1: It's like a non answer that doesn't really offer any

819
00:47:44,920 --> 00:47:48,360
Speaker 1: specifics for what kind of restrictions they might put in place.

820
00:47:48,440 --> 00:47:51,359
Speaker 1: But right wing media, you know, I I guess the

821
00:47:51,400 --> 00:47:55,239
Speaker 1: fact that he was willing to answer a question like

822
00:47:55,480 --> 00:47:58,640
Speaker 1: enraged right wing media. The National Review wrote an article

823
00:47:58,719 --> 00:48:02,680
Speaker 1: calling him a grinch, and you know, their Fox and

824
00:48:02,760 --> 00:48:07,000
Speaker 1: Friends labeled Faucia grinch because they you know, that was

825
00:48:07,040 --> 00:48:14,160
Speaker 1: too good not to repurpose. October. It's October. They they're

826
00:48:14,200 --> 00:48:17,640
Speaker 1: talking Grinch and claimed that he was about to cancel

827
00:48:17,719 --> 00:48:20,239
Speaker 1: Christmas based on his statement that it's too soon to

828
00:48:20,280 --> 00:48:26,520
Speaker 1: tell that I it's a seems fully fabricated. But so

829
00:48:26,600 --> 00:48:31,480
Speaker 1: there are actually this year, like legitimate threats to the

830
00:48:31,760 --> 00:48:36,200
Speaker 1: Christmas traditions that they seem to hold so dear, such

831
00:48:36,239 --> 00:48:40,800
Speaker 1: as you know, supply chain problems that are going to

832
00:48:40,880 --> 00:48:45,040
Speaker 1: make it so that it's harder to order presents for people,

833
00:48:45,480 --> 00:48:50,360
Speaker 1: or you know, the due to uh, climate change, there

834
00:48:50,400 --> 00:48:54,440
Speaker 1: are fewer Christmas trees available, and you know, there's a

835
00:48:54,480 --> 00:48:59,200
Speaker 1: shortage of truck drivers because as their wages have declined

836
00:48:59,200 --> 00:49:02,680
Speaker 1: over the years, there's just been a problem with finding

837
00:49:02,840 --> 00:49:05,799
Speaker 1: enough people to do that job. As The New York

838
00:49:05,800 --> 00:49:09,399
Speaker 1: Times pointed out, it takes a peculiar, a peculiar form

839
00:49:09,480 --> 00:49:11,960
Speaker 1: of logic to cut pay steadily and then be shocked

840
00:49:12,000 --> 00:49:14,520
Speaker 1: that fewer people want to do the job. But that's

841
00:49:14,520 --> 00:49:18,520
Speaker 1: what happened in the truck driving industry. And also because

842
00:49:18,560 --> 00:49:24,040
Speaker 1: of you know, slowdowns in manufacturing, there has been a

843
00:49:24,280 --> 00:49:29,239
Speaker 1: slowdown in the production of fake Christmas trees. So these

844
00:49:29,239 --> 00:49:34,280
Speaker 1: are all things that the real spirit of Christmas, and

845
00:49:34,760 --> 00:49:37,600
Speaker 1: they don't they don't they're not interested in talking about

846
00:49:37,600 --> 00:49:41,240
Speaker 1: that ship though. I mean, I think for their sake,

847
00:49:41,360 --> 00:49:44,920
Speaker 1: like the Fox News that you probably don't want to

848
00:49:45,400 --> 00:49:48,680
Speaker 1: have all of your unlike most of your unvaccinated base

849
00:49:49,640 --> 00:49:54,320
Speaker 1: take airplanes to congregate because that you know, they're already

850
00:49:54,360 --> 00:49:57,479
Speaker 1: like getting freaked out, like by the demographics of how

851
00:49:57,520 --> 00:50:01,239
Speaker 1: like the pandemic is affecting things. So there's gonna be like, no, man,

852
00:50:01,320 --> 00:50:04,719
Speaker 1: get together. Folks don't worry about any kind of spiking cases,

853
00:50:05,400 --> 00:50:09,200
Speaker 1: just do your thing, y'all. I it's I don't know,

854
00:50:09,360 --> 00:50:11,480
Speaker 1: this is just it's watched. It's it's fun watching them

855
00:50:11,520 --> 00:50:18,000
Speaker 1: get so outraged. And I mean, so were there things

856
00:50:18,080 --> 00:50:22,200
Speaker 1: in place that like actually stopped people from congregating or

857
00:50:22,280 --> 00:50:27,040
Speaker 1: was it just like advice last year, like it's right, yeah, yeah,

858
00:50:27,080 --> 00:50:31,799
Speaker 1: it's just that I like they I'm so confused what

859
00:50:31,880 --> 00:50:36,319
Speaker 1: they like. At the height of the pandemic, they just

860
00:50:36,480 --> 00:50:41,400
Speaker 1: offered guidance. They're like, okay, big brother, nice try asshole.

861
00:50:41,920 --> 00:50:46,000
Speaker 1: Oh you said it's it's and advisable to gather with

862
00:50:46,120 --> 00:50:52,640
Speaker 1: elderly family and when there aren't vaccines, Okay, yeah, okay, yeah,

863
00:50:52,680 --> 00:50:55,440
Speaker 1: I don't know. It's yeah, they were just merely guidelines.

864
00:50:55,480 --> 00:50:57,400
Speaker 1: But I think most people because they were able to

865
00:50:57,440 --> 00:51:00,600
Speaker 1: look around in their communities or just the news and like, okay,

866
00:51:00,640 --> 00:51:03,680
Speaker 1: so this is real and there's the potential for untold

867
00:51:03,680 --> 00:51:08,160
Speaker 1: harm for people that I will I will heed these guidelines. Yeah,

868
00:51:08,200 --> 00:51:11,319
Speaker 1: I mean jm Our writer Jam McNabb was pointing out

869
00:51:11,360 --> 00:51:16,520
Speaker 1: that like this actually kind of obscures, how, you know,

870
00:51:16,560 --> 00:51:21,719
Speaker 1: focusing on the idea that he merely mentioned that he

871
00:51:21,800 --> 00:51:25,600
Speaker 1: might at one point consider giving some travel advisories around

872
00:51:25,640 --> 00:51:29,839
Speaker 1: Christmas like, so that caused him to backtrack and he

873
00:51:29,920 --> 00:51:34,319
Speaker 1: was Fauci was like, now you have misinterpreted me. I'll

874
00:51:34,320 --> 00:51:39,600
Speaker 1: be spending Christmas with my family, which is like, again,

875
00:51:39,840 --> 00:51:42,360
Speaker 1: way too soon to tell whether that's a good idea

876
00:51:42,560 --> 00:51:47,000
Speaker 1: or not. The c d C uploaded their holiday guidance

877
00:51:47,160 --> 00:51:50,440
Speaker 1: to their website, which was picked up by multiple news outlets,

878
00:51:50,800 --> 00:51:53,640
Speaker 1: but then they deleted it because they had actually put

879
00:51:53,719 --> 00:51:57,400
Speaker 1: up last year's holiday guidance instead of this year's and

880
00:51:57,440 --> 00:51:59,279
Speaker 1: they haven't figured out what their guidance is going to

881
00:51:59,360 --> 00:52:02,960
Speaker 1: be in twenty one. Fucking it's just a position for

882
00:52:03,000 --> 00:52:05,640
Speaker 1: them to be in where they're like, fuck, don't say

883
00:52:05,800 --> 00:52:08,880
Speaker 1: don't give them real advice or else they're gonna accuse

884
00:52:09,000 --> 00:52:12,000
Speaker 1: us of stuff. So let's water it the funk down. Yeah,

885
00:52:12,360 --> 00:52:16,279
Speaker 1: because the situation is just my uncle is a big

886
00:52:16,320 --> 00:52:20,000
Speaker 1: Fox newsperson, and uh I gave him. I put like

887
00:52:20,040 --> 00:52:21,640
Speaker 1: he's a bad guy, so I put call in his

888
00:52:21,760 --> 00:52:24,279
Speaker 1: stocking and then he pulled it out and he's like,

889
00:52:24,440 --> 00:52:26,200
Speaker 1: this is such a great gift. This is my favorite

890
00:52:26,560 --> 00:52:30,120
Speaker 1: fuel source. So don't give Fox News people calling their

891
00:52:30,160 --> 00:52:32,919
Speaker 1: stockings because they'll they'll completely misinterpret it as a gift.

892
00:52:33,239 --> 00:52:35,120
Speaker 1: Did he did he take a bite out of it too.

893
00:52:35,160 --> 00:52:36,759
Speaker 1: He's like, Oh, you don't think I will. You don't

894
00:52:36,760 --> 00:52:42,319
Speaker 1: think I will watch this? Yeah, for the course of

895
00:52:42,320 --> 00:52:49,320
Speaker 1: the next three days jokes on asshole. Yeah, oh god

896
00:52:49,719 --> 00:52:55,480
Speaker 1: god yeah. But I mean the big news story of

897
00:52:55,480 --> 00:52:59,120
Speaker 1: the day is really of yesterday. I guess that that

898
00:52:59,200 --> 00:53:04,760
Speaker 1: the zodiacler has finally been identified according to TMZ and

899
00:53:05,239 --> 00:53:08,760
Speaker 1: you know all the other main news sources, Fox News.

900
00:53:09,440 --> 00:53:13,960
Speaker 1: So a group of researchers, I did someone named Gary

901
00:53:14,040 --> 00:53:18,720
Speaker 1: Francis Post, who died in eighteen as the Zodiac killer.

902
00:53:19,280 --> 00:53:21,880
Speaker 1: The degree toward this got pick up would have suggested

903
00:53:21,920 --> 00:53:24,080
Speaker 1: it was like a law enforcement agency that had like

904
00:53:24,160 --> 00:53:28,080
Speaker 1: done some some sort of d n A linkage um.

905
00:53:28,280 --> 00:53:32,560
Speaker 1: But they so they're made This group has made up

906
00:53:32,640 --> 00:53:37,120
Speaker 1: of former investigators and journalists, so essentially volunteers acting in

907
00:53:37,200 --> 00:53:41,359
Speaker 1: no official capacity. They the case breakers, right, They're called

908
00:53:41,360 --> 00:53:45,080
Speaker 1: the case Breakers, and they one of their like key

909
00:53:45,200 --> 00:53:50,600
Speaker 1: theories is that Post also killed Sherry Joe Bates in

910
00:53:50,800 --> 00:53:53,920
Speaker 1: nineteen sixty six, whose death was followed by a Zodiac

911
00:53:54,000 --> 00:53:59,799
Speaker 1: like letter. And this is strange because the police were

912
00:54:00,000 --> 00:54:03,719
Speaker 1: into a Zodiac like letters. So it's not like nobody

913
00:54:03,840 --> 00:54:06,759
Speaker 1: entertained this idea that it was that was from the

914
00:54:06,800 --> 00:54:10,440
Speaker 1: Zodiac Killer and her murder was part of the Zodiac killings.

915
00:54:10,719 --> 00:54:13,320
Speaker 1: But they looked into it and the letter was revealed

916
00:54:13,360 --> 00:54:17,760
Speaker 1: to be a hoax and an actual cold case units

917
00:54:17,760 --> 00:54:21,080
Speaker 1: have already like investigated that that case and concluded that

918
00:54:21,120 --> 00:54:24,680
Speaker 1: the murder is not connected to the Zodiac case. So

919
00:54:24,719 --> 00:54:28,320
Speaker 1: they're just like putting out a theory that most people

920
00:54:28,440 --> 00:54:32,200
Speaker 1: believed to have been widely disproven and saying, well, here,

921
00:54:32,320 --> 00:54:36,280
Speaker 1: here's your evidence. And then there's also like the evidence

922
00:54:36,320 --> 00:54:40,279
Speaker 1: that they're pointing to. Our photos from posts dark room

923
00:54:40,880 --> 00:54:44,560
Speaker 1: actually matched scars on the police sketch of the Zodiac killer,

924
00:54:45,160 --> 00:54:49,920
Speaker 1: which it's just it's just creases in a forehead. Oh no,

925
00:54:50,520 --> 00:54:54,440
Speaker 1: oh no, come on, case breakers, Yeah, come with some

926
00:54:54,680 --> 00:54:58,839
Speaker 1: come on come. They also claim that they deciphered new

927
00:54:58,880 --> 00:55:00,960
Speaker 1: code and the Zodiac, like 's that could only be

928
00:55:01,000 --> 00:55:03,839
Speaker 1: cracked if you knew if you know Gary's full name.

929
00:55:04,200 --> 00:55:09,200
Speaker 1: But there they're not revealing that just yet. They want to.

930
00:55:09,440 --> 00:55:15,560
Speaker 1: They're being proprietary about their solution. The fucking cyber Ninja's

931
00:55:15,600 --> 00:55:18,319
Speaker 1: my pillow voting audit, Like, what the fund is it?

932
00:55:18,320 --> 00:55:20,640
Speaker 1: Oh we go, we got it. You can't show you.

933
00:55:20,800 --> 00:55:23,600
Speaker 1: We just can't show nobody right now, it's too explosive.

934
00:55:24,000 --> 00:55:27,400
Speaker 1: Tom Colbert, who is one of the main case Breakers

935
00:55:28,080 --> 00:55:32,520
Speaker 1: former job was working for a hard copy so I

936
00:55:32,520 --> 00:55:35,280
Speaker 1: mean he knows how to do a good tease hell people,

937
00:55:35,719 --> 00:55:39,080
Speaker 1: you know. But he was also a story broker, which

938
00:55:39,120 --> 00:55:42,719
Speaker 1: is somebody who like buys up compelling stories and like

939
00:55:42,760 --> 00:55:46,000
Speaker 1: sells them to people to make movies. He told the

940
00:55:46,000 --> 00:55:51,080
Speaker 1: story rights for Flyaway Home and The vale Um, So

941
00:55:51,080 --> 00:55:55,120
Speaker 1: so you know, like real hardcore grizzled crime solving ship

942
00:55:56,160 --> 00:56:01,800
Speaker 1: gum shoe sh yeah, and yeah. It just feels weird

943
00:56:01,960 --> 00:56:05,239
Speaker 1: that this is one that any news outlet, even if

944
00:56:05,239 --> 00:56:07,200
Speaker 1: it's just t d Z, has like seized on and

945
00:56:07,280 --> 00:56:10,960
Speaker 1: been like solved. I the reason I just started wheezing

946
00:56:11,000 --> 00:56:13,960
Speaker 1: and laughing as I'm falling along in your document that

947
00:56:14,000 --> 00:56:16,480
Speaker 1: you guys used, oh sorry to show behind the scenes

948
00:56:16,520 --> 00:56:18,200
Speaker 1: look at the show. This is all coming from the

949
00:56:18,200 --> 00:56:20,719
Speaker 1: top of my head. Blake. You're right, and I have

950
00:56:21,040 --> 00:56:24,000
Speaker 1: loose scraps I keep by my desk. Then this is

951
00:56:24,040 --> 00:56:27,080
Speaker 1: the document that I the one page document that I

952
00:56:27,200 --> 00:56:30,879
Speaker 1: made for the show and the case Breaker team had,

953
00:56:31,320 --> 00:56:33,960
Speaker 1: which I can't believe. I just said without laughing my

954
00:56:34,040 --> 00:56:37,279
Speaker 1: way through it. But at case Breaker team, Um, I'm like, oh,

955
00:56:37,320 --> 00:56:40,239
Speaker 1: it says eight following two followers on Twitter. You have

956
00:56:40,239 --> 00:56:42,600
Speaker 1: a screen grab of it, like this is probably taken

957
00:56:42,640 --> 00:56:45,040
Speaker 1: from a few weeks and now they have fourteen followers,

958
00:56:45,080 --> 00:56:49,319
Speaker 1: so yeah, we're in the same place. Yeah, it's trending.

959
00:56:48,719 --> 00:56:53,600
Speaker 1: It's trending. So so basically they're saying that the the

960
00:56:53,680 --> 00:56:56,879
Speaker 1: case Breakers, the the evidence that they're working with has

961
00:56:56,920 --> 00:57:00,200
Speaker 1: been debunked. So they're like, this is already built on

962
00:57:00,239 --> 00:57:03,399
Speaker 1: like a false premise because we're already using debunked like

963
00:57:03,719 --> 00:57:06,600
Speaker 1: you're trying to connect dots that really aren't there. Yeah,

964
00:57:06,680 --> 00:57:09,239
Speaker 1: I mean unless you like, look at look at the

965
00:57:09,880 --> 00:57:13,960
Speaker 1: those forehead wrinkles. Man, I'm just saying, like those are

966
00:57:14,320 --> 00:57:18,040
Speaker 1: pretty well. They better come with that info that they

967
00:57:18,080 --> 00:57:21,280
Speaker 1: say they they're ready to decipher all the letters because

968
00:57:21,400 --> 00:57:23,040
Speaker 1: we would have to know his full name and only

969
00:57:23,080 --> 00:57:27,960
Speaker 1: we do. I mean, okay, how many people did the

970
00:57:28,040 --> 00:57:32,760
Speaker 1: Zodiac Killer kill exactly? That's information that they have to

971
00:57:32,320 --> 00:57:36,919
Speaker 1: prepriet You have to ask them. They yeah, they're they're

972
00:57:36,920 --> 00:57:41,360
Speaker 1: holding back on they say, you'll never believe what we

973
00:57:41,440 --> 00:57:46,760
Speaker 1: found out about how many five claim he claimed to

974
00:57:46,760 --> 00:57:51,640
Speaker 1: have killed thirty seven five confirmed dead, but possibly twenty

975
00:57:51,720 --> 00:57:55,960
Speaker 1: to twenty eight. Okay, interesting, just another example of their

976
00:57:56,000 --> 00:57:59,240
Speaker 1: work on a famous story where people are you know,

977
00:57:59,720 --> 00:58:05,120
Speaker 1: very horny to identify historical figures. Colbert got interested in

978
00:58:05,160 --> 00:58:11,480
Speaker 1: the dB Cooper case. And yeah, so the dB Cooper

979
00:58:11,520 --> 00:58:14,400
Speaker 1: was a bank robber who hijacked a plane and then

980
00:58:14,600 --> 00:58:19,560
Speaker 1: jumped out of said plane after like you know, making

981
00:58:19,560 --> 00:58:24,480
Speaker 1: everybody turn around, I guess, or go into the cockpit. Anyways,

982
00:58:24,320 --> 00:58:28,480
Speaker 1: it's a people think that he probably didn't survive jumping

983
00:58:28,480 --> 00:58:30,800
Speaker 1: out of the plane, but you know, it's very mysterious.

984
00:58:30,840 --> 00:58:34,480
Speaker 1: They never found the body, and he thought he had

985
00:58:34,520 --> 00:58:37,520
Speaker 1: figured out that it was this guy, Robert rack Straw,

986
00:58:37,920 --> 00:58:42,440
Speaker 1: and so Colbert or Colbert approach. Rack Straw offered him

987
00:58:42,440 --> 00:58:46,840
Speaker 1: twenty dollars to participate, and when he refused, Colbert threatened

988
00:58:46,880 --> 00:58:51,040
Speaker 1: to have him hounded forever, and then he started catfishing

989
00:58:51,160 --> 00:58:58,120
Speaker 1: ra Straw, who then in turn reverse catfished Colbert. And yeah,

990
00:58:58,160 --> 00:59:01,720
Speaker 1: it just seems like real, real, top level you know,

991
00:59:02,040 --> 00:59:07,840
Speaker 1: mature mature and you know, top level investigative ship going on, right,

992
00:59:08,000 --> 00:59:09,960
Speaker 1: someone who's clearly not just trying to get the thing

993
00:59:10,000 --> 00:59:13,440
Speaker 1: over the line. By any means necessary, true dedication to

994
00:59:13,480 --> 00:59:17,760
Speaker 1: the truth, unflinching, you know, rather like fuck your life

995
00:59:17,840 --> 00:59:22,360
Speaker 1: up if you don't admit your dB Cooper right. So this, Yeah,

996
00:59:22,840 --> 00:59:27,480
Speaker 1: So that's that's the story of how the Zodiac Killer

997
00:59:27,600 --> 00:59:30,880
Speaker 1: was salved was identified. Well, I'm glad to know that

998
00:59:30,920 --> 00:59:33,040
Speaker 1: all the people who are talking about it, and now

999
00:59:33,080 --> 00:59:37,400
Speaker 1: I can finally um, actually, every fucking tweet I see now. Yeah,

1000
00:59:37,600 --> 00:59:40,840
Speaker 1: and you know j M, who is clearly into this,

1001
00:59:41,160 --> 00:59:43,880
Speaker 1: into the story of the Zodiac Killer, is saying like

1002
00:59:43,920 --> 00:59:46,400
Speaker 1: they're they could be right about who it is, but

1003
00:59:46,520 --> 00:59:50,400
Speaker 1: publishing articles like definitively claiming the Zodiac case has come

1004
00:59:50,440 --> 00:59:53,400
Speaker 1: to an end based on these people's work, it seems

1005
00:59:53,400 --> 00:59:57,720
Speaker 1: a little premature. Like I've read the story the headlines then,

1006
00:59:57,760 --> 00:59:59,440
Speaker 1: like I I've looked at the article and they were

1007
00:59:59,440 --> 01:00:02,680
Speaker 1: talking about the these case breakers, like they were a

1008
01:00:02,800 --> 01:00:05,840
Speaker 1: known quantity that like I should be familiar with. And

1009
01:00:06,240 --> 01:00:09,320
Speaker 1: the fact that they have fourteen followers fifteen now that

1010
01:00:09,400 --> 01:00:15,440
Speaker 1: I'm following them is um wild. They do have their

1011
01:00:15,440 --> 01:00:19,080
Speaker 1: own logo, which is not nothing, right, Yeah, it's kind

1012
01:00:19,080 --> 01:00:23,280
Speaker 1: of huge. Yeah, it looks like Charles Barkley's like signature

1013
01:00:23,320 --> 01:00:29,720
Speaker 1: shoe logo out of thirty four in there. Yes, as

1014
01:00:29,760 --> 01:00:32,640
Speaker 1: always such a pleasure having you. Where can people find

1015
01:00:32,640 --> 01:00:36,840
Speaker 1: you and follow you? The pleasure is online and I

1016
01:00:36,840 --> 01:00:38,960
Speaker 1: can share it with you if you'd like. But I yeah,

1017
01:00:39,000 --> 01:00:40,760
Speaker 1: I love being here. I always love doing this. I'm

1018
01:00:40,760 --> 01:00:43,800
Speaker 1: a huge fan of you guys. Um you can find

1019
01:00:43,840 --> 01:00:47,800
Speaker 1: me apt like Wexler on everything. Every Wednesday in Philadelphia,

1020
01:00:47,840 --> 01:00:50,440
Speaker 1: I do a show at St. Stephen's Green if you're

1021
01:00:50,480 --> 01:00:52,560
Speaker 1: in Philly. And then I have an exclusive for you guys.

1022
01:00:52,600 --> 01:00:57,760
Speaker 1: I have not announced this anywhere, but exclusive. Um, we

1023
01:00:57,920 --> 01:01:01,760
Speaker 1: have on November eighteenth, and char Elston Um recording my

1024
01:01:01,800 --> 01:01:05,400
Speaker 1: first one hour special so at Theater ninety one hour

1025
01:01:05,480 --> 01:01:09,320
Speaker 1: stand up special in November eighteen at EM So yeah,

1026
01:01:09,600 --> 01:01:11,680
Speaker 1: Verry have not didn't even announce it on my own

1027
01:01:11,760 --> 01:01:14,880
Speaker 1: goddamn podcast, Blake's Takes for God's Six. So yeah, but anyway,

1028
01:01:14,920 --> 01:01:20,360
Speaker 1: that's a that's coming in November November eight rank hm

1029
01:01:20,840 --> 01:01:23,400
Speaker 1: and uh, is there a tweet or some of the

1030
01:01:23,440 --> 01:01:26,560
Speaker 1: work of social media you've been enjoying. Yeah, there's a

1031
01:01:26,600 --> 01:01:31,320
Speaker 1: tweet from a at Case Breaker team and it's tweets

1032
01:01:32,240 --> 01:01:37,320
Speaker 1: tweets from Laurie kill Martin at any Laurie sixteen and

1033
01:01:37,520 --> 01:01:41,160
Speaker 1: um she tweeted a picture of Kieren Coulkin's character and

1034
01:01:41,280 --> 01:01:44,840
Speaker 1: Jerry from Secession holding one another, and Laurie just wrote,

1035
01:01:45,160 --> 01:01:49,800
Speaker 1: moving towards this stage of my life. It was very,

1036
01:01:49,880 --> 01:01:55,200
Speaker 1: very fun. But yeah, she's an incredible comedian. Writer. Miles

1037
01:01:55,320 --> 01:01:57,560
Speaker 1: Rare can people find you? What is a tweet you've

1038
01:01:57,560 --> 01:02:01,480
Speaker 1: been enjoying? Twitter? Instagram, Miles of Gray. Also the other

1039
01:02:01,480 --> 01:02:04,000
Speaker 1: show four twenty Day Fiance. Check us out of twitch

1040
01:02:04,040 --> 01:02:07,439
Speaker 1: dot tv sash for twenty Day Fiance to zero with

1041
01:02:07,560 --> 01:02:12,840
Speaker 1: Sophie Alexandra talking about ninety day. Some tweets that I like, Wow,

1042
01:02:13,040 --> 01:02:17,920
Speaker 1: let's see. First, one is from a Viagra You're in

1043
01:02:17,960 --> 01:02:20,680
Speaker 1: his d m S. Good for you, girl, He's easy.

1044
01:02:20,760 --> 01:02:25,520
Speaker 1: Go get him slick love that's been on it. Another

1045
01:02:25,560 --> 01:02:28,920
Speaker 1: one is from at brow tweeting b r o W

1046
01:02:29,080 --> 01:02:33,120
Speaker 1: t W e A t e N tweeting caterpillar walks

1047
01:02:33,480 --> 01:02:43,080
Speaker 1: snake Okay what caterpillar grows wings snake? Okay? What scupid?

1048
01:02:43,120 --> 01:02:45,960
Speaker 1: And then one more from a listener DJ baby back

1049
01:02:46,080 --> 01:02:49,160
Speaker 1: joy at cr Underscore. B O r o N tweeted

1050
01:02:49,200 --> 01:02:52,840
Speaker 1: not Miles and Jack roasting me alive because showed all

1051
01:02:53,000 --> 01:02:56,560
Speaker 1: your Starbucks collectors mugs like just sitting on this shelf,

1052
01:02:56,920 --> 01:02:59,800
Speaker 1: no shade. I love the Star Wars based ones, but yeah,

1053
01:03:00,040 --> 01:03:03,440
Speaker 1: it's a real movement to start collector game. They kept

1054
01:03:03,480 --> 01:03:07,080
Speaker 1: going and going. I was, I was blown away. I'm

1055
01:03:07,120 --> 01:03:10,120
Speaker 1: I have fully turned around on on this and I'm

1056
01:03:10,160 --> 01:03:15,880
Speaker 1: now in completely supportive of anybody's decision to collect those cups. There.

1057
01:03:18,040 --> 01:03:20,400
Speaker 1: You can find me on Twitter at Jack Underscore Brian

1058
01:03:21,200 --> 01:03:25,040
Speaker 1: uh couple tweets I've been enjoying. Jamie Loftus. Jamie Loftus

1059
01:03:25,040 --> 01:03:26,880
Speaker 1: helped tweeted, I'm in the phase of getting my ship

1060
01:03:26,920 --> 01:03:30,120
Speaker 1: together where I'm adding a second ingredient to pasta, which

1061
01:03:30,160 --> 01:03:33,800
Speaker 1: is a very specific phase we've all been to. Uh

1062
01:03:33,840 --> 01:03:37,480
Speaker 1: and blank Peesh tweeted, why does spell check no McConaughey

1063
01:03:37,520 --> 01:03:42,959
Speaker 1: but not fuck and I have never spelled Matthew McConaughey's

1064
01:03:43,160 --> 01:03:48,600
Speaker 1: last name correctly. It's now now the hey, how now

1065
01:03:48,800 --> 01:03:51,360
Speaker 1: g funk out of here with that? And if you

1066
01:03:51,400 --> 01:03:52,920
Speaker 1: want to add fun just put it in your one

1067
01:03:52,960 --> 01:03:59,480
Speaker 1: of your contacts. It knows interesting if you want all

1068
01:03:59,480 --> 01:04:04,120
Speaker 1: that stuff. Yeah, rather than duck or ducking. Quick tip

1069
01:04:04,200 --> 01:04:07,520
Speaker 1: for the people who constantly curse and then get mad

1070
01:04:07,560 --> 01:04:10,480
Speaker 1: at the auto correct because it's like it's like duck

1071
01:04:11,600 --> 01:04:18,440
Speaker 1: auto correct duck and then all caps. Fuck if you

1072
01:04:17,720 --> 01:04:23,920
Speaker 1: can you yeah, get your contact yeah fucking all right. Well,

1073
01:04:23,920 --> 01:04:26,160
Speaker 1: you can find us on Twitter at daily Zeitgeys were

1074
01:04:26,160 --> 01:04:28,240
Speaker 1: at the daily that you guys on Instagram. We have

1075
01:04:28,280 --> 01:04:31,240
Speaker 1: a Facebook fan page and a website, daily zeitgeis dot com,

1076
01:04:31,240 --> 01:04:34,240
Speaker 1: where he post our episodes in our foot notes where

1077
01:04:34,240 --> 01:04:36,120
Speaker 1: we link off to the information that we talked about

1078
01:04:36,400 --> 01:04:38,800
Speaker 1: in today's episode, as well as a song that we

1079
01:04:38,880 --> 01:04:44,120
Speaker 1: think your money enjoy. Miles. What song are we sending

1080
01:04:44,120 --> 01:04:47,080
Speaker 1: people to go check out? This is a track called

1081
01:04:47,080 --> 01:04:50,400
Speaker 1: Story of a Girl. Sorry, huh, I was saying this

1082
01:04:50,640 --> 01:04:55,560
Speaker 1: is the story of a girl the home world. Uh No,

1083
01:04:55,760 --> 01:04:59,280
Speaker 1: this is the story of a song called Runway Talk

1084
01:05:00,000 --> 01:05:03,080
Speaker 1: and it's by Khalil Blue featuring mavby Dog. It's just

1085
01:05:03,160 --> 01:05:05,760
Speaker 1: a dope, you know, just wrapped from from the twenty

1086
01:05:05,760 --> 01:05:08,680
Speaker 1: one century, right, you know. I'm I'm I'm coming out

1087
01:05:08,720 --> 01:05:11,960
Speaker 1: of my golden era hip hop cave more and more

1088
01:05:12,000 --> 01:05:15,320
Speaker 1: and just really ingesting as much like new rap as possible.

1089
01:05:15,640 --> 01:05:18,480
Speaker 1: And I just like again, just like yesterday's track Armor.

1090
01:05:18,720 --> 01:05:21,080
Speaker 1: I really like this. The production on this and I

1091
01:05:21,120 --> 01:05:23,720
Speaker 1: just like the flow, I like the swag. I just

1092
01:05:23,800 --> 01:05:25,720
Speaker 1: like it also, and I think you will too if

1093
01:05:25,720 --> 01:05:28,640
Speaker 1: you like some little, you know, some some new, some

1094
01:05:29,200 --> 01:05:32,640
Speaker 1: genre breaking hip hop. So this is Runway Talk by

1095
01:05:32,680 --> 01:05:35,200
Speaker 1: Khalil Blue. Al Right, well the Daily is That, guys,

1096
01:05:35,200 --> 01:05:37,400
Speaker 1: is a production of by Heart Radio. For more podcasts

1097
01:05:37,400 --> 01:05:39,560
Speaker 1: from my Heart Radio, visit the I Heart Radio app,

1098
01:05:39,600 --> 01:05:41,800
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1099
01:05:42,160 --> 01:05:43,760
Speaker 1: That is going to do it for us this morning,

1100
01:05:43,800 --> 01:05:46,480
Speaker 1: but we are back this afternoon to tell you what

1101
01:05:46,680 --> 01:05:49,120
Speaker 1: is trending and we'll talk to you all that. Bye

1102
01:05:49,440 --> 01:05:49,680
Speaker 1: bye