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Speaker 1: Hello the Internet, and welcome to season two thirteen, Episode

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Speaker 1: three of Days Like Guys, a production of I Heeart Radio.

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Speaker 1: This is a podcast where, you know, we take a

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Speaker 1: deep dive into America's shared consciousness. Very young. And it

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Speaker 1: is Wednesday, December one one, which of course means it

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Speaker 1: is Rosa Parks Day. Also very important, it's National Red

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Speaker 1: Apple Day. You eat a red apple day? Okay, okay,

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Speaker 1: I already read it a red apple today. And National

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Speaker 1: Pie Day, which is interesting because pies never utilize red apples.

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Speaker 1: They're they're always telling you to get the ones that

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Speaker 1: make your mouth pucker, so you know, it's interesting things. Yeah. Absolutely,

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Speaker 1: And also what do you say National pie Day? Already? Yeah,

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Speaker 1: I said National Pie Our guests and super producer Justin

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Speaker 1: we're pointing out the isn't isn't three fourteen National Pie Day? Well? Look,

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Speaker 1: appare according to this entry, it says we celebrate on

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Speaker 1: this day put the more popular day January twenty three

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Speaker 1: for what for who do they not know? Meth is

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Speaker 1: that this is the National Pie Day for the mathematically

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Speaker 1: a literal. Oh you think they're doing it to be one,

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Speaker 1: two or three? Well, other rapper, they're just like numbers,

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Speaker 1: you know, and pie is a number, and I don't know.

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Speaker 1: I can't get enough National Pie Days. My name is

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Speaker 1: Jack O'Brien, a K Mama's don't let your babies grow

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Speaker 1: out there mustache, don't let them be pick up artists.

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Speaker 1: That's a make them not look like creepy old fox.

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Speaker 1: That is courtesy of one Christy Ambucci, Maine. On this

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Speaker 1: my final day of mustachio It's gone being mustachioed. Yeah,

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Speaker 1: it is technically gone MS December one, but as we

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Speaker 1: record this still rocking the November stash. You very much

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Speaker 1: to our sponsors November and everyone who you know donated

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Speaker 1: to the TDS November page. What's the mote for it? Movember?

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Speaker 1: Is that for molester? Yea men's men's men's men's health. Yes, 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 Gras. As you know, it's the one

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Speaker 1: and only head Day. Oh no ho a k a

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Speaker 1: head day oh no and day oh noel and let

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Speaker 1: it snow hole Okay, thank you so much Rob Cunningham

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Speaker 1: at math demigod for that. Thank you for taking some

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Speaker 1: you know, some interesting takes with HP there you go well, Miles,

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Speaker 1: We're thrilled to be joined in our third seed. One

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Speaker 1: of our favorite guests, one of you guys favorite guest

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Speaker 1: of famous uh sorry, hilarious comedian, a very talented writer

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Speaker 1: and directory that was weird? Uh that one back? Famously

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Speaker 1: hilarious comedian, a very talented, famous, hilariously famous, who's told

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Speaker 1: jokes on the c W, the PBS, roast, battle Bridge Town, Famous,

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Speaker 1: the fuck y'all. Yeah, I'm extremely famous. I was on

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Speaker 1: the c W one time. You guys all know me. Yeah.

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Speaker 1: Why does the W get the but not PBS or

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Speaker 1: any of the other Well is I don't know, is

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Speaker 1: it c W? Should I just say I was on

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Speaker 1: c W? But that sounds wrong. They say the only

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Speaker 1: as the c W because it was the WB before.

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Speaker 1: That's the thing when I was When I write that credit,

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Speaker 1: I don't know if I should capitalize the the Yeah,

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Speaker 1: that's a great question. I think it's more informal anyway,

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Speaker 1: Who is that? Who is that? It is the hilarious,

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Speaker 1: the talented, the brilliant Sara, Thank you so much, also

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Speaker 1: very famous, famous Sara And like what one of the

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Speaker 1: early people to have to be like, yo, what the

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Speaker 1: fund is up with these n f T s. Man

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Speaker 1: right clicking, ship and money laundering queen. Yeah, you know,

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Speaker 1: I've been saving image as three little words every woman

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Speaker 1: wants to hear, save image as what do you do

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Speaker 1: for a living? I right click? That's right. My friend

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Speaker 1: was telling me about a streamer that he was watching.

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Speaker 1: The streamer was like, I'm gonna do an n f

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Speaker 1: T and you know, they did bidding for it and

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Speaker 1: it got up to two bucks and he was like, okay, okay, everybody,

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Speaker 1: all right, this guy won the auction. I'm gonna put

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Speaker 1: the I'm gonna put the n f T on screen. Okay.

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Speaker 1: Nobody saved it, only him, only that guy. Nobody else save,

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Speaker 1: No nobody else save. Okay, come on on her system,

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Speaker 1: on your system on. Wait, isn't it supposed to be

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Speaker 1: like not a thing that everybody can just copy and paste?

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Speaker 1: That's that's yeah, that's the whole. But Jack, you're making

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Speaker 1: a little too much sense. You're you're ruining my faith

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Speaker 1: in n f T S. If I don't have faith

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Speaker 1: in n f T s, what do I have left? Sorry?

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Speaker 1: I just reached down into your deep well of faith

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Speaker 1: and yes, which you know what you've got a lot

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Speaker 1: of clean drug money though, I'll tell you that. Yeah. Sorry,

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Speaker 1: what's good? What what's new? Your Your background is looking

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Speaker 1: very pink. I'm pink. Yeah, I'm all about the pink. Yeah,

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Speaker 1: it's good. I gotta got some seeds, seeds coming up.

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Speaker 1: That's my underrated seeds. Alright, that's what I think is

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Speaker 1: underrated seeds. Don't give it away for it's chomping. But yeah,

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Speaker 1: why do people say champion? I there, it's you know,

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Speaker 1: that's how language of all. This episode is going to

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Speaker 1: be air Seinfeld episode where I ask the hard hitting

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Speaker 1: questions like why do you call to see but not people?

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Speaker 1: These are things that I guarantee you in five years

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Speaker 1: will be commonly accepted. Spellings that are currently considered incorrect reins.

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Speaker 1: When people say take the reins, what they should write

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Speaker 1: is r E I N S. What they usually write

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Speaker 1: is r E I G n S, and that's incorrect,

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Speaker 1: but will be commonly accepted soon. Sneak peek people commonly

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Speaker 1: right s n e a K p e a k

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Speaker 1: even though that's not right, but they've they've been doing it,

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Speaker 1: so it's gonna happen. Artesian fake word soon to be real.

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Speaker 1: Artisanal yes, people say artisan. It's not real artisanal A

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Speaker 1: R T R T I S I N A L.

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Speaker 1: It should be artistsanal, but it doesn't matter because it's

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Speaker 1: a fake language. And they and they replaced artisanal artistsal

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Speaker 1: with artissan all with artisan and artists single. Got it

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Speaker 1: all right? Uncle, it's art it as champ at the bit.

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Speaker 1: But also chomp be gayan as a variant of champ,

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Speaker 1: So either one is okay. So you could say champ too.

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Speaker 1: So that's what I'm saying. The grammar ring double k

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Speaker 1: on the champing on a red apple, champing on champing

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Speaker 1: on some pie here today on apples, Jack, do not

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Speaker 1: get me started on apples. I swear to God, I'll

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Speaker 1: take over this podcasted right now. Overrated. Yeah, we're about

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Speaker 1: one word for you, miles overrated. Wow. Alright, Well that's

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Speaker 1: a sneak peak of what's to come. Also a sneak

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Speaker 1: peak of what's to come. Pe a k a sneak peak,

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Speaker 1: a sneaky little mountain peak. We're gonna here. Here's some

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Speaker 1: of the things we're talking about. We're talking about the

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Speaker 1: Maxwell trial. And Maxwell's trial opened with or I guess

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Speaker 1: it was the second day but they had the pilot

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Speaker 1: of the Lowlit Express yesterday day up there, and he

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Speaker 1: talked about how he did, in fact see Donald Trump

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Speaker 1: on that bitch, you know, flying just there in in

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Speaker 1: all his glory, which apparently I think was was the

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Speaker 1: thing that people knew, but I had like he wasn't

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Speaker 1: on the flight locks. I remember looking into that, so

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Speaker 1: that this was good to know because I was on

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Speaker 1: the fence about whether that guy was it was a

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Speaker 1: real shiphead. We're gonna talk about the Democrats are finally

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Speaker 1: they finally have their priority straight and are going after bots. Baby.

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Speaker 1: We're gonna talk about the Stephen Paddock story that I

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Speaker 1: think was asked an answered a few years ago in

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Speaker 1: the National mind Share that uh, he was just a

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Speaker 1: lone nut with no clear political motive, and we're gonna

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Speaker 1: take a second look at that. We'll also talk about

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Speaker 1: Islamophobia from Lauren Bobert. We're gonna talk about Elon Musk

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Speaker 1: and why privatization maybe isn't always a great idea. Anyways,

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Speaker 1: we'll talk about all that ship but more importantly, before

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Speaker 1: we get to any of that, sorry, we like to

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Speaker 1: get to know our guests a little bit better by

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Speaker 1: asking you to take a look at your search history

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Speaker 1: and tell us what's in there. Let's go, guys, I'm

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Speaker 1: doing this for real. This isn't a bit. I'm going

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Speaker 1: to my real Google and looking at my Well, the

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Speaker 1: last thing I look up was red Notice. Um what

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Speaker 1: is it? Which it does? The last thing I uh,

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Speaker 1: the last thing in my Google search history before Red

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Speaker 1: Notice is Succession theme song piano sheet music. And that

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Speaker 1: is because I had to learn the theme to Succession

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Speaker 1: being piano proficient and watching enough Succession, and man, the

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Speaker 1: music on that show's good. They don't have a lot

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Speaker 1: of it. They have the one theme and they just

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Speaker 1: kind of play it at different speeds and like sometimes

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Speaker 1: they'll transpose it a little. But like, there was a

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Speaker 1: pretty exciting scene recently and it was the same thing.

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Speaker 1: It was just extra fast. Yeah, yeah, it's great. I

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Speaker 1: won't play it for you, but rest assured I can't

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Speaker 1: play it slowly. Were you, I mean, were you stoked

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Speaker 1: when you found it? You're like, finally, let me fucking

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Speaker 1: bang this out on the on the keys right now. Well,

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Speaker 1: there was a point where I was like maybe i'll, uh,

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Speaker 1: you know, I'll give myself a little challenge and I'll uh, I'll,

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Speaker 1: you know, do an ear training and try and figure

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Speaker 1: it out. And then I was like, no, I frankly,

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Speaker 1: my ear is not good enough. I'm just going to

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Speaker 1: look up the sheet music. Yeah. The last time I

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Speaker 1: did that was to the two times I've looked up

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Speaker 1: sheet music to play something on a keyboard was Everything

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Speaker 1: in Its Right Place by Radiohead because I wanted to

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Speaker 1: play that on an electric piano of great one, and

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Speaker 1: then Uh any Time by Brian McKnight, the two most

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Speaker 1: romantic songs of all time. I would love to be

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Speaker 1: serenaded by you. Oh my god, I mean you should

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Speaker 1: have ship. I really did that too, and I was

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Speaker 1: you know, what's the saddest thing. I was single at

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Speaker 1: the time, and in my mind I was like, Yo,

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Speaker 1: this is a good this is a good thing to happen.

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Speaker 1: You know You're not single now, are you know? But

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Speaker 1: when I played what, I'm saying, what is this song?

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Speaker 1: And please stop playing it? Yeah? No? Single man is

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Speaker 1: I'm sorry? No? Uh no, you know, partnered man is

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Speaker 1: sitting there figuring out electric keyboard parts in this room.

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Speaker 1: Too busy, too busy doing other things. Are you? How

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Speaker 1: are you feeling about succession? This, this week or this

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Speaker 1: I'm not caught up yet. Okay, I just started watching.

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Speaker 1: I started watching this series, and I've been putting it

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Speaker 1: off because I like to binge, so I I usually

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Speaker 1: will wait until I have, you know, some kind of

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Speaker 1: a winter holiday. That's a nice binging time for me.

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Speaker 1: Lots of hours of darkness. So yeah, I'm only about

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Speaker 1: halfway through season two, so please don't spoil things for me. Okay,

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Speaker 1: everything else in my life has already been so yes,

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Speaker 1: in its right place, everything's fine. I was like, oh yeah,

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Speaker 1: that last episode was intense, and I'm like, oh wait,

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Speaker 1: you're okay, different, one different, one different. I'm not even

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Speaker 1: say what I'm saying. I don't say anything. I do

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Speaker 1: like it. My my friend was like, do you think

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Speaker 1: it humanizes the rich too much? And I was like,

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Speaker 1: I think it kind of dehumanizes. They're really monstrous. Yeah,

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Speaker 1: and like, you know, there's that's what the job of

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Speaker 1: the presses is to humanize the rich. That's what they

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Speaker 1: generally do. You know, rich people are very humanized and

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Speaker 1: you know, and they're they're humans. But yeah, man, they

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Speaker 1: got good fucking actors on that show. I mean that

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Speaker 1: sounds so stupid. To say, but they got good funding

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Speaker 1: actors on that show. Yeah, no, there there isn't eeriness

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Speaker 1: to it, especially as it gets like they kind of

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Speaker 1: started expanding the world a little bit of what they're

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Speaker 1: like spheres of influence are and you're kind of yea, yeah,

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Speaker 1: these people are scum and not even like the fun

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Speaker 1: Sopranos way. Like, it's more like, I'm more like watch

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Speaker 1: it to be like, let's check in on that fucked

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Speaker 1: up family who has it all, but like I'm glad

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Speaker 1: they're unhappy because they got everything. Yeah, it's like a

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Speaker 1: fun kind of like Arrested Development meets Deep but more

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Speaker 1: dramatic and less funny. Miles, you're up on it. You

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Speaker 1: watched the most recent episode, I'm I'm I start did it?

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Speaker 1: I started it and it's getting intense. I can't, I can't, Like,

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Speaker 1: I think this might be where I stopped watching the show,

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Speaker 1: just because I like how pathetic the premise of it is,

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Speaker 1: and like the build up to this episode. Every time

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Speaker 1: he talks about like his birthday party, it's just like fuck,

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Speaker 1: because he's been so brutal this season. To just watch

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Speaker 1: at any moment, you're just like, god, I might And

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Speaker 1: then like for that time come to a head. I'm ready.

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Speaker 1: I'm ready. I might have to, you know, That's what

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Speaker 1: I was like. I'm it's too late in the evening

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Speaker 1: for me to continue it down this road. So I

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Speaker 1: let my success boys watch my success boys, my successes.

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Speaker 1: And I'm like, man, there's barely any people. And I'm like, yeah,

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Speaker 1: is this Fisher Stevens because he was wearing like brown

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Speaker 1: face and short circuit, does he count as a person

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Speaker 1: of color in that guess? Yeah, brown brown bead. Justin

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Speaker 1: Trudeau is black now because of because of when you

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Speaker 1: did black face. You know what conservatives like to say, Oh,

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Speaker 1: if you can change genders, then maybe i'm transracial. Just

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Speaker 1: fucking sure. Yeah you're black now if you want to

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Speaker 1: be black, just okay, whatever you like that, but get

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Speaker 1: up my face. Yeah, what is something you think is overrated?

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Speaker 1: While I am gonna go with apples, apples, apples, I

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Speaker 1: would say overrated, not the fruit. Yeah. Well, here's here's

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Speaker 1: the thing that I found out that kind of sucked

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Speaker 1: up my whole life. All of the apples that we eat,

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Speaker 1: the strains that we know and love. Your honey crisp,

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Speaker 1: your pink lady, your bread delicious, your golden delicious, your jazz,

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Speaker 1: your gala, et cetera. All of these fruits are made

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Speaker 1: from clones of a mother tree, and they have to

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Speaker 1: be made from clones bea as when apples reproduce sexually.

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Speaker 1: When apples make love, they create hybrids, and their hybrids

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Speaker 1: are not what they call true to strain. So if

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Speaker 1: you were to let apples have sex in nature the

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Speaker 1: way that they normally do, you end up with a

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Speaker 1: completely unpredictable fruit. This is not helpful for the needs

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Speaker 1: of the marketplace. So all of our apples are literally

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Speaker 1: virtually not virtually, I'm sorry, they are literally identical plants

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Speaker 1: genetically speaking. M So that means if there is some

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Speaker 1: kind of a viruss that affects the honey crisp apple,

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Speaker 1: there's no hunters bapples, boom gone. That's it, because there's

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Speaker 1: no biodiversity. Right we live in like apple, yes, exactly,

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Speaker 1: Applicata cap we grew in gantacap. Bananas to bananas are

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Speaker 1: all clones from a single banana. There bananaica, yes, we're

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Speaker 1: in Bananica and applica and uh. I just think people

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Speaker 1: should know because once you know that all of the

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Speaker 1: red delicious apples are genetically actually identical. It just feels different.

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Speaker 1: And it's kind of weird knowing that there are potentially

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Speaker 1: millions of apples that we could be eating of unknown,

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Speaker 1: unpredictable type that we are not eating because we are

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Speaker 1: isolating all of our apples into single strains and not

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Speaker 1: letting them fuck They're in their little prisons. Yeah, I

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Speaker 1: mean that would probably hold true for like a lot

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Speaker 1: of fruits at that point, right, not just apples, Not

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Speaker 1: to say everything, but I feel like that logic would

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Speaker 1: tend to apply for you know, most other cash crops

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Speaker 1: like it does. It does, and so most like trees

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Speaker 1: that you buy, like if you buy a lemon tree,

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Speaker 1: you know to keep the strain. You know, everything is

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Speaker 1: made from cuttings. You know they'll take cuttings. But it's strongest.

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Speaker 1: Apples are one of the most isolated because they have

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Speaker 1: a tendency to hybridize so much more quickly and so

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Speaker 1: much more unpredictably than most other fruits. So it's like

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Speaker 1: it makes you kind of thing apples they're up to something,

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Speaker 1: you know what I mean. I don't trust a clone.

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Speaker 1: I don't really trust. You shouldn't trust the clone they're

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Speaker 1: all replicans. They're delicious little replicans. Where's the free love

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Speaker 1: farmer who's like, yo, my apples fuck and like, whatever

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Speaker 1: you get, you get, but it's a mouthful and I'll

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Speaker 1: tell you that. Okay, that's a hole in the marketplace.

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Speaker 1: Smiles and absolutely like there needs to be somebody who's

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Speaker 1: at every farmer's marketing. I got wild apples, Like yo,

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Speaker 1: they're pushing clothes over here, clothes over here. They want

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Speaker 1: they want one world government is ship. Come, come have

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Speaker 1: my delicious apples. They flocked freely on my farm and

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Speaker 1: unbacked apples. Some tastes like ship, but I guarantee it's

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Speaker 1: a flavor you have never experienced in your life. And

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Speaker 1: that's kind of the whole ride. Yeah, this one's brown delicious.

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Speaker 1: I know you might not have. I always like, I

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Speaker 1: always gonna feel bad for apples when people talk shit

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Speaker 1: on them, like red delicious and stuff. It's like, it's

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Speaker 1: not their fault. They tried, they tried, you know, they

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Speaker 1: tried to be better. We isolated them because we wanted

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Speaker 1: we wanted a type of apple that would ship really well,

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Speaker 1: you know, we just wanted them to ship and you know,

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Speaker 1: make it so we could cut them and slice them

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Speaker 1: and put them in little plastic bags and then serve

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Speaker 1: them to kids in school and they wouldn't turn to

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Speaker 1: complete mush and uh, you know that's why we're delicious.

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Speaker 1: It's not his fault. It's just a little apple. One

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Speaker 1: of my favorite facts is like that that pre bananattica

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Speaker 1: bananas didn't really look like that. And same with corn

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Speaker 1: on the cob, and so all of the se active

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Speaker 1: breeding we keep making the food we eat look like

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Speaker 1: big dicks. Like that's just there's like something in our

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Speaker 1: nature where we're like, I'm like, yuh, you know, first

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Speaker 1: of all, it could be bigger and more delicious and

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Speaker 1: also just like a giant dick, a huge more veins

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Speaker 1: on this cucumber, please ex smooth cucumber doing ship for me?

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Speaker 1: What is something you think is underrated? Sorry, well I

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Speaker 1: guess related. I think uh, I think starting seeds is underrated.

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Speaker 1: It's really really fun what that means. That means when

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Speaker 1: you when you sprout a seed, when you get a

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Speaker 1: seed and you sprouted and um, and you get a

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Speaker 1: plant from that, as opposed to like buying a seedling

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Speaker 1: or clone or whatever, just the process of a seed

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Speaker 1: opening up boys. Rush. I have not done that. What

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Speaker 1: I was growing weed in high school and it's a rush,

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Speaker 1: right yeah, because oh my god, you're telling me like

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Speaker 1: checking you come back from school like yes, yes, every

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Speaker 1: morning I'm at my seeds and like who's up? Yeah,

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Speaker 1: and I'm like, okay, I can put put the pepper

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Speaker 1: tope back on it, put the paper ties. I went

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Speaker 1: a little too soon. Let it Germany, Let it Germany.

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Speaker 1: But yeah, it's been a minute actually that I forgot

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Speaker 1: about that excitement. Thank you. Sorry, That's what I'm saying.

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Speaker 1: It's underrated. People gotta do it more for some stuff

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Speaker 1: that's so easy. Oh, I mean, so I got I

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Speaker 1: got some girl lights for my sprouts because I'm doing

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Speaker 1: some but I'm sprouting now sunflowers so I can eat

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Speaker 1: those little sunflower sprouts because I love them, and they're

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Speaker 1: so expensive. So you gotta just sprout sunflowers. I mean,

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Speaker 1: that's the thing about sunflower sprouts is it's it's a sprout.

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Speaker 1: You cut it, you eat it and it's gone. It's

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Speaker 1: you know, sunflower, it doesn't come back. Damn. They're delicious.

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Speaker 1: So I got sunflowers, I got like kale lettuces. I

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Speaker 1: got a bunch of native seeds sprouting because I'm trying

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Speaker 1: to plant more native plants in my yard. So I

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Speaker 1: got I got some cool cool ones. What is what

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Speaker 1: are sunflower sprouts? I never even heard of this? You

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Speaker 1: never had sun flowers sprouts like on a sandwich. You're

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Speaker 1: in a aldornything. It's just a different like I mean

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Speaker 1: like alfalfa sprouts, like nor typical sprouts. No, it's the same.

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Speaker 1: It's just from a sunflower seed. Oh but it's delicious.

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Speaker 1: But they're just like sounds like it's you ever seen

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Speaker 1: like a sunflower come up. It's a really neaty little

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Speaker 1: seed into an absolute boss. Yeah, it's big. So they're

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Speaker 1: they're crunchy, they're yummy, all right. Yeah, it's great. The

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Speaker 1: most I've done a like, garlic sprouts are like sprouts

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Speaker 1: that come from like other more flavored things. I have

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Speaker 1: a little bit of I love garlic green dude. They're

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Speaker 1: so good. Mh. I'll show you guys. I mean it's

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Speaker 1: not really podcast ship, but you know, I got a webcam.

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Speaker 1: I actually prefer like I'm picturing you in the middle

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Speaker 1: of just a gigantic farm with like just fields of

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Speaker 1: corn and ship. Yeah. Yeah, you know, in the middle

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Speaker 1: of l A. But here, I'll turn my there's my ship.

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Speaker 1: Oh yeah, I got them on the racks and everything. Yeah,

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Speaker 1: I got a whole I got a whole thingy. Yeah,

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Speaker 1: I got like a bunch of native flowers the spring.

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Speaker 1: I'm hoping to uh lure some butterflies. Who's that work

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Speaker 1: in that tractor out there on the horizon. Yeah, that's

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Speaker 1: my that's my cat. All right, let's take a quick

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Speaker 1: break and we'll be right back. And we're back. And

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Speaker 1: so I guess everybody knew this already. I just it

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Speaker 1: gave me hope that we might be seeing some ship

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Speaker 1: in the gil A Maxwell trial after I don't know,

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Speaker 1: heading into it, I was like, oh, gonna let ship

375
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Speaker 1: anything drop right, like the you know they killed Epstein,

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Speaker 1: Like why would they let her come out and say

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Speaker 1: the ship? But yeah, in court yesterday, one of the

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Speaker 1: pilots of the Lolita Express. Yeah, like the to the

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Speaker 1: point that Jeffrey have Steen like put his kids through college,

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Speaker 1: like literally like paid their tuition, bought him a home

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Speaker 1: with like acres in New Mexico. So he was on

382
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Speaker 1: those flights, said he had seen Clinton and Prince Andrew,

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Speaker 1: which had gotten like most of the attention, and which

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00:23:21,200 --> 00:23:23,400
Speaker 1: I think we had seen on flight lugs, but also

385
00:23:23,480 --> 00:23:27,719
Speaker 1: confirmed having seen Donald Trump on the flights. The pilot

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Speaker 1: claims he never saw underage girls without their parents or

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00:23:31,240 --> 00:23:33,719
Speaker 1: knew of any sexual activity happening on the plane. But

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00:23:33,840 --> 00:23:37,359
Speaker 1: just because she's calling him daddy doesn't mean she's his parents. Yeah,

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00:23:37,760 --> 00:23:39,679
Speaker 1: it makes sense. It's noisy in a jet with the

390
00:23:39,720 --> 00:23:43,959
Speaker 1: door closed to the cockpit. And also Jeffreys had so

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Speaker 1: many daughters, right, and it's probably pretty incriminating if he

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00:23:49,160 --> 00:23:52,679
Speaker 1: did know about that. So you know, I just imagine

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00:23:52,720 --> 00:23:54,680
Speaker 1: them at the front like a school bus driver, just

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Speaker 1: being like, keep quite back there. I'm safe. Yeah. But

395
00:24:02,359 --> 00:24:06,879
Speaker 1: that first day though, it's wild, like because Maxwell's lawyer

396
00:24:06,960 --> 00:24:10,320
Speaker 1: came out fucking swinging. She was like, Yo, they're trying

397
00:24:10,359 --> 00:24:14,600
Speaker 1: to make her escapegoat fam just because Epstein's dead, they

398
00:24:14,600 --> 00:24:16,960
Speaker 1: had to put the attention on somebody else. And then

399
00:24:17,000 --> 00:24:19,960
Speaker 1: like the the prosecutors had to keep objecting every time

400
00:24:20,000 --> 00:24:22,880
Speaker 1: she's like she's a scapegoat into like objection or they'd

401
00:24:22,920 --> 00:24:25,680
Speaker 1: be like she's a stand in for Jeffrey Epstein. They're like,

402
00:24:25,720 --> 00:24:28,960
Speaker 1: objection is not we see what you're trying to do

403
00:24:29,680 --> 00:24:33,280
Speaker 1: then like dragging the victims too. Yeah, so that's the

404
00:24:33,560 --> 00:24:38,720
Speaker 1: like the part of their strategy that I was at least,

405
00:24:39,160 --> 00:24:40,840
Speaker 1: you know, I thought I thought there might be some

406
00:24:40,920 --> 00:24:43,679
Speaker 1: promise for us finding out some ship is that it

407
00:24:43,720 --> 00:24:46,240
Speaker 1: seems like they're going to make the case that she

408
00:24:46,880 --> 00:24:51,159
Speaker 1: was like one of Epstein's victims, basically, like she was

409
00:24:51,240 --> 00:24:55,960
Speaker 1: being manipulated by him, and like, if that is the strategy,

410
00:24:56,000 --> 00:24:58,880
Speaker 1: which it seems like it is at least partially the strategy,

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00:24:59,160 --> 00:25:01,520
Speaker 1: you know, that would it does seem like they would

412
00:25:01,560 --> 00:25:05,760
Speaker 1: want to prove like that all the all the powerful

413
00:25:05,800 --> 00:25:09,480
Speaker 1: influence that he had over powerful people, because that would

414
00:25:09,480 --> 00:25:13,560
Speaker 1: make him more unfunck with able. So I don't know,

415
00:25:13,640 --> 00:25:16,280
Speaker 1: that's That's what I'm hoping is that they kind of

416
00:25:16,320 --> 00:25:18,680
Speaker 1: developed that and they're like, yeah, I mean he told

417
00:25:18,680 --> 00:25:22,959
Speaker 1: me he had compromising material on Bill Clinton and Donald Trump.

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Speaker 1: If you're fully gonna like dish it off the bad

419
00:25:26,560 --> 00:25:28,520
Speaker 1: guy roll to the even bigger bad guy, I mean

420
00:25:28,600 --> 00:25:30,960
Speaker 1: you would have to do that otherwise. I don't think

421
00:25:31,320 --> 00:25:33,960
Speaker 1: the strategy as it is being like, oh, one of

422
00:25:34,000 --> 00:25:38,680
Speaker 1: the accusers like does drugs. It's like what wants she

423
00:25:38,840 --> 00:25:41,240
Speaker 1: was no angel? Right? No? Literally and then you know,

424
00:25:41,320 --> 00:25:44,359
Speaker 1: she said, like off the top, she was like since

425
00:25:44,440 --> 00:25:48,000
Speaker 1: the Dawn of Adam, and Eve said ever since Adam,

426
00:25:48,200 --> 00:25:51,320
Speaker 1: ever since Eve was accused of tempting Adam with the apple,

427
00:25:52,160 --> 00:25:55,440
Speaker 1: women have been blamed for men's bad behavior. So that

428
00:25:55,560 --> 00:25:58,200
Speaker 1: was a bit of a yeah that they're they're trying

429
00:25:58,560 --> 00:26:00,560
Speaker 1: hurt her defense is trying a lot of it for strategies.

430
00:26:00,600 --> 00:26:05,919
Speaker 1: Pretty strong comparison there, No, for sure, I totally, but

431
00:26:05,960 --> 00:26:08,280
Speaker 1: I think at this point when it's like since one

432
00:26:08,359 --> 00:26:13,200
Speaker 1: man stood up and was crucified for fucking underage girls,

433
00:26:14,560 --> 00:26:17,600
Speaker 1: people have been trying to bring down a periful guy

434
00:26:17,720 --> 00:26:22,000
Speaker 1: with powerful ideas. My name is Jeffrey Epstein, and I

435
00:26:22,080 --> 00:26:26,760
Speaker 1: am like Jesus, thank you, thank you here all right,

436
00:26:26,840 --> 00:26:28,760
Speaker 1: So this is all to say, we'll be keeping an

437
00:26:28,800 --> 00:26:32,520
Speaker 1: eye on that trial, probably updating you if anything interesting. Hip. Yeah,

438
00:26:32,680 --> 00:26:36,080
Speaker 1: the Democrats speaking of interesting, it seems like they finally

439
00:26:36,760 --> 00:26:43,280
Speaker 1: have their priority straight. They are going after bots. Yeah. Bots,

440
00:26:43,440 --> 00:26:46,280
Speaker 1: You say, what the fund is a bot? And why

441
00:26:46,320 --> 00:26:50,840
Speaker 1: in the middle of a pandemic and and rapid exponential

442
00:26:51,080 --> 00:26:55,600
Speaker 1: income inequality, why are we focusing on bots? And that's

443
00:26:55,200 --> 00:26:57,840
Speaker 1: the bots are the ones changing the climate. Miles, thank

444
00:26:57,920 --> 00:27:00,360
Speaker 1: you right. The bots are the ones that are ending

445
00:27:00,560 --> 00:27:04,080
Speaker 1: the uh the build back better act from getting past.

446
00:27:04,400 --> 00:27:06,520
Speaker 1: So let's put it this like this. If you've tried

447
00:27:06,560 --> 00:27:09,359
Speaker 1: to buy a PS five or an Xbox Series X

448
00:27:09,400 --> 00:27:12,359
Speaker 1: and in video, g f G Force r t X card,

449
00:27:12,680 --> 00:27:17,440
Speaker 1: Beyonce's Ivy Park apparel, or even Pokemon cards on the internet,

450
00:27:17,640 --> 00:27:19,639
Speaker 1: chances are you have been greeted with some ship that

451
00:27:19,640 --> 00:27:22,959
Speaker 1: says sold out and you're asking yourself, but I logged

452
00:27:22,960 --> 00:27:25,080
Speaker 1: in at the time that the stuff was supposed to

453
00:27:25,200 --> 00:27:27,440
Speaker 1: drop and be available, and I clicked everything, I put

454
00:27:27,480 --> 00:27:29,280
Speaker 1: it in my card and under a minute and it

455
00:27:29,359 --> 00:27:32,359
Speaker 1: was still sold out. How can that be? Well, that's

456
00:27:32,400 --> 00:27:35,560
Speaker 1: because of the reselling markets use of bots, and basically

457
00:27:35,600 --> 00:27:37,960
Speaker 1: they're just like computer programs that are able to add

458
00:27:38,000 --> 00:27:40,119
Speaker 1: items to cards with all the needed payment and like

459
00:27:40,119 --> 00:27:43,359
Speaker 1: shipping information like instantaneously. So like you're just getting beat

460
00:27:43,440 --> 00:27:46,480
Speaker 1: technologically to to just put these things in a cart

461
00:27:46,520 --> 00:27:50,840
Speaker 1: and process of transaction. So then scalpers and resellers take

462
00:27:50,960 --> 00:27:54,119
Speaker 1: ship like to eBay or stock x and sell it

463
00:27:54,160 --> 00:27:56,920
Speaker 1: for you know, huge markup and make a lot of money.

464
00:27:56,920 --> 00:27:58,800
Speaker 1: There's a story about a sixteen year old kid who

465
00:27:58,880 --> 00:28:02,280
Speaker 1: did one point seven million dollars in revenue by reselling

466
00:28:02,320 --> 00:28:03,960
Speaker 1: PS five and all kinds of ship that he was

467
00:28:04,000 --> 00:28:09,080
Speaker 1: using bots for and only his profit though only ten thousand, Okay,

468
00:28:09,160 --> 00:28:11,720
Speaker 1: So leave him alone. And where you can getting that

469
00:28:11,800 --> 00:28:15,280
Speaker 1: seed money from? I think, look, you probably you know.

470
00:28:15,400 --> 00:28:17,520
Speaker 1: I mean, if you start real small, right, you get

471
00:28:17,520 --> 00:28:19,520
Speaker 1: one PS five and you sell it for double night

472
00:28:19,560 --> 00:28:22,080
Speaker 1: you got double, and you pour that back into two

473
00:28:22,119 --> 00:28:23,959
Speaker 1: PS five that you can get with bots and then

474
00:28:23,960 --> 00:28:26,320
Speaker 1: you double. I mean there's you know, I just gotta

475
00:28:26,359 --> 00:28:31,400
Speaker 1: start and it's flashboys. But with PS five it's like

476
00:28:31,440 --> 00:28:34,399
Speaker 1: saying he only so he put in one point six

477
00:28:34,440 --> 00:28:37,960
Speaker 1: million and made one point I think like that that

478
00:28:38,160 --> 00:28:40,640
Speaker 1: suggests that at some point he had one point six

479
00:28:40,800 --> 00:28:44,800
Speaker 1: million dollars. I think that was his net revenue. So

480
00:28:44,960 --> 00:28:46,840
Speaker 1: I don't know if that's that's just basically I think

481
00:28:46,880 --> 00:28:49,800
Speaker 1: over when you add up everything that he's sold and

482
00:28:49,840 --> 00:28:54,040
Speaker 1: then taking off like recouping cut yea that. I don't

483
00:28:54,040 --> 00:28:56,440
Speaker 1: know how numbers work me either, and it doesn't matter,

484
00:28:56,480 --> 00:29:00,280
Speaker 1: but that's why Representatives Paul Tonko of New York Which Editor,

485
00:29:00,360 --> 00:29:03,680
Speaker 1: Richard Blumenthal of Connecticut, Chuck Schumer, and Ben ray Luhan

486
00:29:04,080 --> 00:29:06,840
Speaker 1: of New Mexico they have all announced they're pushing for

487
00:29:06,880 --> 00:29:10,640
Speaker 1: the Stop grinch Bots Act, Like, okay, what the funk

488
00:29:10,720 --> 00:29:12,960
Speaker 1: is this? This is some ship that's been kicking around

489
00:29:12,960 --> 00:29:15,800
Speaker 1: the hill for like a couple of years. But specifically,

490
00:29:15,800 --> 00:29:18,840
Speaker 1: the Stopping grinch Bots Act would expand on a law

491
00:29:18,880 --> 00:29:22,480
Speaker 1: past in that outlawed bots from circumventing control measures to

492
00:29:22,520 --> 00:29:25,680
Speaker 1: put tickets to like music concerts and sports like essentially

493
00:29:25,720 --> 00:29:29,280
Speaker 1: just say making it illegal for scalpers to resell tickets

494
00:29:29,320 --> 00:29:32,080
Speaker 1: like this, and this legislation that they're pushing now would

495
00:29:32,160 --> 00:29:36,880
Speaker 1: essentially take say this applies now to all online retail sites.

496
00:29:37,000 --> 00:29:38,760
Speaker 1: So if you're a sneaker head, you're like, oh, ship,

497
00:29:39,080 --> 00:29:41,160
Speaker 1: look at that, I might have a chance at getting

498
00:29:41,160 --> 00:29:43,640
Speaker 1: a sneaker or if you watch your Pokemon card or

499
00:29:43,680 --> 00:29:47,080
Speaker 1: fuck it. Even sometimes you see restaurant reservations go up

500
00:29:47,160 --> 00:29:50,320
Speaker 1: instantly because people use bots to even get restaurant reservations.

501
00:29:50,720 --> 00:29:52,520
Speaker 1: So you know it would be really bad is if

502
00:29:52,520 --> 00:29:59,080
Speaker 1: they use these to vote. Yeah, well look, yeah we

503
00:29:59,080 --> 00:30:02,080
Speaker 1: should stop it before can do that. Yeah, one thing

504
00:30:02,080 --> 00:30:03,440
Speaker 1: at a time, when we got to get in early

505
00:30:03,480 --> 00:30:08,000
Speaker 1: on this problem. So I mean I think this on

506
00:30:08,000 --> 00:30:10,400
Speaker 1: one level, you're like, okay, that's interesting, but this also

507
00:30:10,440 --> 00:30:12,560
Speaker 1: feels like a real low effort attempt to make it

508
00:30:12,600 --> 00:30:16,160
Speaker 1: seem like the party's doing something and like that. Like that,

509
00:30:16,240 --> 00:30:18,880
Speaker 1: there's like, yeah, we get a supply chain stuff like

510
00:30:18,920 --> 00:30:22,120
Speaker 1: you're we're here, complaints from parents trying to get certain things,

511
00:30:22,520 --> 00:30:24,880
Speaker 1: and it's these fucking bots, you know. So we're gonna

512
00:30:24,920 --> 00:30:28,280
Speaker 1: handle that and vote blue no matter who. Huh. All right,

513
00:30:28,600 --> 00:30:32,280
Speaker 1: they'll always they'll always act when it's in the interest

514
00:30:32,360 --> 00:30:37,440
Speaker 1: of like people spending money, consumerism, like making consumer culture,

515
00:30:37,880 --> 00:30:41,160
Speaker 1: like unless it's like consumer protections, it's like that weird

516
00:30:41,240 --> 00:30:43,640
Speaker 1: fine line. It's like, we're gonna make it easier for

517
00:30:43,680 --> 00:30:46,160
Speaker 1: you to give away your money, but we're gonna make

518
00:30:46,160 --> 00:30:49,400
Speaker 1: it hardest fun to get your money back. It's like

519
00:30:49,480 --> 00:30:52,640
Speaker 1: a like a fucking like an old school like wooden

520
00:30:52,680 --> 00:30:54,480
Speaker 1: fish trap where it's like they get in but it

521
00:30:54,560 --> 00:30:58,080
Speaker 1: can't come out. Yeah, I mean a teenager making money

522
00:30:58,120 --> 00:31:00,440
Speaker 1: on the internet, that's, uh, that could be a problem.

523
00:31:00,680 --> 00:31:05,480
Speaker 1: We don't do something about it. Absolutely, what what's not dollars?

524
00:31:05,520 --> 00:31:08,720
Speaker 1: That's that's absurd. No, but a child should not be

525
00:31:08,720 --> 00:31:11,760
Speaker 1: being that much money, you know. That's the that's adult money,

526
00:31:12,160 --> 00:31:17,840
Speaker 1: adult money for billionaires like he's not he's not paying

527
00:31:17,840 --> 00:31:20,480
Speaker 1: he can't be paying taxes on that. That's like, you know,

528
00:31:20,600 --> 00:31:25,320
Speaker 1: that's like five grand. The government's missing out on. Selfish teenager.

529
00:31:26,280 --> 00:31:30,400
Speaker 1: Quit asking. If I'm looking at my ask this young

530
00:31:30,480 --> 00:31:35,560
Speaker 1: man where the thousand came from? I R. Yeah, it's

531
00:31:36,040 --> 00:31:39,920
Speaker 1: you know, it could be cool if if online sales

532
00:31:40,160 --> 00:31:43,480
Speaker 1: worked better. I feel like it's maybe like the five

533
00:31:43,560 --> 00:31:46,760
Speaker 1: hundred priority that they should be paying attention to right

534
00:31:46,800 --> 00:31:50,520
Speaker 1: now generously. Oh yeah, But again, that's why it just

535
00:31:50,600 --> 00:31:52,720
Speaker 1: feels like one of those things that eat real easy

536
00:31:52,760 --> 00:31:55,400
Speaker 1: win because like Chuck Schumer's words, or even like it

537
00:31:55,440 --> 00:31:59,040
Speaker 1: shouldn't be so hard during the holidays to get the

538
00:31:59,160 --> 00:32:02,080
Speaker 1: gifts that you need to make memories. You know, it's

539
00:32:02,120 --> 00:32:04,640
Speaker 1: like this, like I give a fuck energy when it's

540
00:32:04,640 --> 00:32:06,760
Speaker 1: not has nothing to do with this, and I think

541
00:32:06,760 --> 00:32:12,600
Speaker 1: it helps give me money, give me money, extended unemployment benefits. Okay,

542
00:32:12,640 --> 00:32:14,440
Speaker 1: shut the funk up. I said, we're gonna handle the

543
00:32:14,480 --> 00:32:17,160
Speaker 1: box right now and then maybe we'll talk. Gonna make

544
00:32:17,160 --> 00:32:19,240
Speaker 1: sure you get your slippers in time. The slippers that

545
00:32:19,240 --> 00:32:22,160
Speaker 1: you ordered, you gotta get them, especially because you know

546
00:32:22,200 --> 00:32:24,440
Speaker 1: that was on Oprah's list. So we can't look around

547
00:32:24,440 --> 00:32:27,680
Speaker 1: and have that not be available. Oprah, We'll take this

548
00:32:27,720 --> 00:32:31,320
Speaker 1: country down. Well, speaking of Oprah taking this country down,

549
00:32:31,400 --> 00:32:33,320
Speaker 1: actually the next story has nothing to do with that,

550
00:32:33,400 --> 00:32:38,440
Speaker 1: although Doctor Oz has announced for that he's running for Senate,

551
00:32:38,560 --> 00:32:42,080
Speaker 1: so that could be op taking this country down down

552
00:32:42,240 --> 00:32:46,560
Speaker 1: the path of victory, because yeah, Dr Oz is a hero,

553
00:32:46,960 --> 00:32:49,240
Speaker 1: personal hero of mine, one of the greats to ever

554
00:32:49,320 --> 00:32:51,680
Speaker 1: do it, one of the greatest doctors. One of the

555
00:32:51,680 --> 00:32:55,120
Speaker 1: greatest doctors is actually good doctor who just got phil

556
00:32:55,320 --> 00:33:00,040
Speaker 1: Oz Drew Gupta, the classic doctors Doctor Oz. The The

557
00:33:00,080 --> 00:33:02,520
Speaker 1: biggest tragedy of doctor Oz is he was actually like

558
00:33:02,600 --> 00:33:05,520
Speaker 1: one of the nation's top heart surgeons and gave that

559
00:33:05,680 --> 00:33:09,760
Speaker 1: up to go do this bullshit. Well now he's now

560
00:33:09,800 --> 00:33:12,520
Speaker 1: he's in the nation's hearts. Yeah, he's in the hearts

561
00:33:12,520 --> 00:33:15,040
Speaker 1: of all and saying, you know, ladies, the vagina is

562
00:33:15,080 --> 00:33:17,440
Speaker 1: like a self cleaning of it. That's right, And you're like, okay,

563
00:33:18,080 --> 00:33:19,880
Speaker 1: don't why are you doing a whole segment on this,

564
00:33:19,960 --> 00:33:22,760
Speaker 1: doctor Oz. This is on TV. That's some real ship.

565
00:33:23,480 --> 00:33:27,120
Speaker 1: Yeah it gets hot. Yeah, I'm not talking. There's a

566
00:33:27,160 --> 00:33:29,640
Speaker 1: whole clip where he's explaining You're like, this is the

567
00:33:29,760 --> 00:33:33,400
Speaker 1: weirdest TV I've ever fucking seen, like why and like

568
00:33:33,520 --> 00:33:35,479
Speaker 1: just watching people in the hunt, He's like, oh wow,

569
00:33:35,520 --> 00:33:38,520
Speaker 1: self cleaning oven? Uh right, with like a stage sized

570
00:33:38,600 --> 00:33:42,880
Speaker 1: model of the vagina that you could walk through. That's sick.

571
00:33:43,160 --> 00:33:47,160
Speaker 1: I clean my oven with a Lisaul Douche. I put

572
00:33:47,200 --> 00:33:53,400
Speaker 1: some receive in my oven after I don't want us

573
00:33:53,440 --> 00:33:54,920
Speaker 1: to get pregnant. I don't want to get a punt

574
00:33:54,960 --> 00:33:58,520
Speaker 1: in there. There you go. I mean that's stupid, that's

575
00:33:58,560 --> 00:34:02,320
Speaker 1: fucking stupid. I'm sorry, guys, it's it's actually probably where

576
00:34:02,400 --> 00:34:05,160
Speaker 1: dr Oz came up with. The other metaphor. Was people

577
00:34:05,200 --> 00:34:07,200
Speaker 1: talking about getting a button in the oven. Yeah, I

578
00:34:07,200 --> 00:34:09,200
Speaker 1: should be making more money. I should be making that

579
00:34:09,280 --> 00:34:13,160
Speaker 1: doctor os money. Yeah. Well so, uh, this is just

580
00:34:13,280 --> 00:34:15,359
Speaker 1: kind of kind of an update. But you know, in

581
00:34:15,440 --> 00:34:18,719
Speaker 1: response to the the last week's story about Kyle Rittenhouse, the

582
00:34:18,760 --> 00:34:22,239
Speaker 1: fact that people weren't calling him a right wing extremist

583
00:34:22,280 --> 00:34:26,160
Speaker 1: even though he was at Trump rallies and a supporter

584
00:34:26,320 --> 00:34:30,400
Speaker 1: of Blue Lives Matter and you know, things by supremacy

585
00:34:30,480 --> 00:34:34,560
Speaker 1: hand signs. Yeah. One of our readers, Fuzzy rage Monster

586
00:34:34,960 --> 00:34:37,760
Speaker 1: is actually the display name on Twitter. Reader I suggested

587
00:34:37,800 --> 00:34:41,279
Speaker 1: we look at the FBI's investigation into Stephen Paddock, the

588
00:34:41,520 --> 00:34:48,200
Speaker 1: Las Vegas shooter, because according to h like the record

589
00:34:48,280 --> 00:34:51,560
Speaker 1: that made it through to like sort of the national

590
00:34:51,640 --> 00:34:54,239
Speaker 1: share consciousness was that he was like alone nut. They

591
00:34:54,280 --> 00:34:57,160
Speaker 1: couldn't figure out a motive. He basically got like the

592
00:34:57,160 --> 00:35:00,960
Speaker 1: Oswald treatment that he was just had had screw loose

593
00:35:00,960 --> 00:35:05,840
Speaker 1: and was that's a strong implication. Yeah, yeah, yeah treatment.

594
00:35:06,360 --> 00:35:11,239
Speaker 1: Yeah yeah, so it was somebody else. Yeah, well, I'm

595
00:35:11,239 --> 00:35:13,279
Speaker 1: not saying no, but like the way that they just

596
00:35:13,360 --> 00:35:18,360
Speaker 1: treated Oswald and the jk assassination as like a political

597
00:35:18,440 --> 00:35:21,080
Speaker 1: that's what they did with They were just like nothing

598
00:35:21,080 --> 00:35:25,080
Speaker 1: to see here, move along. But according to like, you know,

599
00:35:25,200 --> 00:35:28,840
Speaker 1: just a small amount of looking people who were familiar

600
00:35:28,880 --> 00:35:32,680
Speaker 1: with him say he was radically anti government and like

601
00:35:32,800 --> 00:35:35,319
Speaker 1: trying to start a war to get people to rise

602
00:35:35,400 --> 00:35:38,520
Speaker 1: up because he thought the government was coming for our guns.

603
00:35:39,440 --> 00:35:43,239
Speaker 1: And yeah, he was like this country needs to wake

604
00:35:43,320 --> 00:35:45,759
Speaker 1: up call or something. The country needs to wait. We

605
00:35:45,800 --> 00:35:47,799
Speaker 1: need to wake up the American public and get them

606
00:35:47,800 --> 00:35:51,040
Speaker 1: to arm themselves in response to looming threats. But it

607
00:35:51,080 --> 00:35:52,799
Speaker 1: was a country music festival, so I think a lot

608
00:35:52,800 --> 00:35:57,040
Speaker 1: of those people already had guns or or were pro gun.

609
00:35:57,120 --> 00:36:00,960
Speaker 1: At least he was trying to get the biggest bang,

610
00:36:01,120 --> 00:36:05,360
Speaker 1: Like he was researching where he could Yeah, literally, he

611
00:36:05,640 --> 00:36:07,920
Speaker 1: was researched. He spent a lot of time researching, Okay,

612
00:36:07,920 --> 00:36:11,640
Speaker 1: where could I kill the most people? And this is

613
00:36:11,680 --> 00:36:14,839
Speaker 1: the one that he came up with. But he made

614
00:36:14,920 --> 00:36:18,080
Speaker 1: reference like so, so he was trying to buy a

615
00:36:18,120 --> 00:36:21,360
Speaker 1: gun part used to convert semi automatic firearms into a

616
00:36:21,360 --> 00:36:25,600
Speaker 1: fully automatic machine gun, and the gun dealer was like, oh,

617
00:36:25,680 --> 00:36:28,840
Speaker 1: that's illegal, I don't do that, and he like became

618
00:36:28,960 --> 00:36:32,600
Speaker 1: enraged and made reference to This is from the intercept

619
00:36:32,600 --> 00:36:36,360
Speaker 1: a litany of anti government conspiracy theories, including supposed plans

620
00:36:36,400 --> 00:36:40,480
Speaker 1: by the Federal Emergency Management Administration FEMA to set up

621
00:36:40,520 --> 00:36:44,880
Speaker 1: detention camps of Americans and plans for widespread confiscation of firearms.

622
00:36:45,200 --> 00:36:49,040
Speaker 1: Paddock believed that Hurricane Katrina in two thousand five was

623
00:36:49,120 --> 00:36:52,000
Speaker 1: just a dry run for law enforcement military to start

624
00:36:52,080 --> 00:36:56,239
Speaker 1: kicking down doors and confiscating guns, which you know is

625
00:36:56,560 --> 00:37:00,680
Speaker 1: part like that seems to be in the same category,

626
00:37:00,840 --> 00:37:05,200
Speaker 1: like connected. Is he saying that they that Katrina was

627
00:37:05,360 --> 00:37:08,640
Speaker 1: engineered or just that the government took the opportunity. I

628
00:37:08,680 --> 00:37:10,600
Speaker 1: think I think there's a lot of people who think

629
00:37:10,680 --> 00:37:15,880
Speaker 1: was engineered, that the hurricane, not the hurricane, the breaching

630
00:37:15,920 --> 00:37:20,799
Speaker 1: of the walls. I think they're people thought that they

631
00:37:20,800 --> 00:37:26,960
Speaker 1: were blown up to create the disaster. But it's you know,

632
00:37:27,080 --> 00:37:33,359
Speaker 1: this is part of a sort of mainstream of extremist

633
00:37:33,400 --> 00:37:39,080
Speaker 1: ideology and like conspiracy thinking that has only become like

634
00:37:39,200 --> 00:37:44,040
Speaker 1: more mainstream since that had since Paddock perpetrated one of

635
00:37:44,080 --> 00:37:46,920
Speaker 1: the one of the biggest terrorist attacks in the history

636
00:37:46,920 --> 00:37:51,040
Speaker 1: of the United States. And you know, no ideology though, no,

637
00:37:51,040 --> 00:37:54,560
Speaker 1: no no ideology, Like I think the fact that it

638
00:37:54,600 --> 00:37:58,040
Speaker 1: was a gun because America is like very freeving of those,

639
00:37:58,080 --> 00:38:00,440
Speaker 1: like if he had blown up that many people, like

640
00:38:00,480 --> 00:38:03,080
Speaker 1: I think there they would have had a harder time

641
00:38:03,160 --> 00:38:06,799
Speaker 1: like just kind of YadA YadA, ng it. But it's

642
00:38:06,880 --> 00:38:10,480
Speaker 1: just I think it is really damaging that they, you know,

643
00:38:11,000 --> 00:38:14,600
Speaker 1: came up with that sort of down the middle explanation.

644
00:38:15,320 --> 00:38:18,640
Speaker 1: It was also at a time when Homeland Security and

645
00:38:18,960 --> 00:38:22,040
Speaker 1: FBI agents were saying that they were being forced to

646
00:38:22,120 --> 00:38:24,600
Speaker 1: downplay the threat of white supremacist and other you know,

647
00:38:24,719 --> 00:38:28,240
Speaker 1: right wing terror by the Trump white House. But certainly

648
00:38:28,280 --> 00:38:31,719
Speaker 1: hasn't like you know that there's been mentioned of that

649
00:38:31,840 --> 00:38:34,759
Speaker 1: becoming a priority under Biden, but he hasn't like been like,

650
00:38:34,920 --> 00:38:39,080
Speaker 1: for instance, look at this massive terror attack. This guy

651
00:38:39,120 --> 00:38:43,080
Speaker 1: had right wing beliefs that he was like very angry

652
00:38:43,160 --> 00:38:46,520
Speaker 1: about in the lead up to this massive terror attack,

653
00:38:47,280 --> 00:38:50,319
Speaker 1: but they don't even call it as he went up

654
00:38:50,360 --> 00:38:53,200
Speaker 1: to the top floor of a hotel with like eight

655
00:38:53,200 --> 00:38:55,920
Speaker 1: fucking defel bags full of huge guns, and everyone was like,

656
00:38:56,000 --> 00:38:59,239
Speaker 1: seems right, yeah, yeah, yeah, just a normal guy. Wait,

657
00:38:59,280 --> 00:39:01,920
Speaker 1: what's and and it's and it's funny because like even

658
00:39:02,600 --> 00:39:05,120
Speaker 1: whether or not like lawn federal law enforce, it wants

659
00:39:05,120 --> 00:39:06,840
Speaker 1: to be like, man, we were under pressure. It's like,

660
00:39:07,000 --> 00:39:09,719
Speaker 1: look at your track record HOMEI like, you didn't need

661
00:39:09,719 --> 00:39:12,960
Speaker 1: no fucking pressure. Like this is what you do. You're

662
00:39:13,000 --> 00:39:15,759
Speaker 1: either trying to set people up if they're Muslim or

663
00:39:15,840 --> 00:39:18,520
Speaker 1: black or whatever, and to trap people and be like, hey, man,

664
00:39:19,320 --> 00:39:22,200
Speaker 1: terror plot thwarted, even though we basically set the whole

665
00:39:22,239 --> 00:39:25,560
Speaker 1: thing up, and then in this case just not even

666
00:39:26,080 --> 00:39:29,239
Speaker 1: managing to give people some semblance of an idea of

667
00:39:29,280 --> 00:39:32,439
Speaker 1: like what the threats that the country faces by saying yeah,

668
00:39:32,440 --> 00:39:34,759
Speaker 1: I mean when you look at it, he's definitely on

669
00:39:34,800 --> 00:39:37,280
Speaker 1: the right side of the spectrum looking at some interesting

670
00:39:37,280 --> 00:39:40,279
Speaker 1: stuff on the internet, So that might be somewhere to

671
00:39:40,320 --> 00:39:42,760
Speaker 1: start but it's easier to just make it very clean

672
00:39:42,880 --> 00:39:45,799
Speaker 1: and sanitized and say, I mean there's no way to

673
00:39:45,840 --> 00:39:49,440
Speaker 1: tell like why someone would do this when they're not Muslim.

674
00:39:49,480 --> 00:39:54,000
Speaker 1: So yeah, like a tax carry out by Muslims and

675
00:39:54,320 --> 00:39:58,680
Speaker 1: Middle Easterners are routinely labeled as terrorism. Well, anything carried

676
00:39:58,719 --> 00:40:03,080
Speaker 1: out by NASA not Muslims like Paddock are not, Like

677
00:40:03,120 --> 00:40:05,520
Speaker 1: that's kind of the Well, he was a you know,

678
00:40:05,600 --> 00:40:13,120
Speaker 1: he was a landlord jack never he was a good guy. Yeah, exactly. Yeah,

679
00:40:14,840 --> 00:40:17,680
Speaker 1: we need to issue an apology then, yeah, yeah, he's

680
00:40:17,760 --> 00:40:21,120
Speaker 1: just trying to provide provide housing in a you know,

681
00:40:21,280 --> 00:40:24,439
Speaker 1: help help people. Yeah, it couldn't be more of like

682
00:40:24,640 --> 00:40:30,200
Speaker 1: what America values as a landowner who like manipulates. But

683
00:40:30,280 --> 00:40:33,200
Speaker 1: you know, like that's the thing when every time it's

684
00:40:33,239 --> 00:40:36,920
Speaker 1: Kyle Rittenhouse, it's it's fucking I can't just all of

685
00:40:36,960 --> 00:40:39,160
Speaker 1: these people who like to go outside the law to

686
00:40:39,560 --> 00:40:44,680
Speaker 1: you know, maintain the white status quo. Just an inability

687
00:40:44,760 --> 00:40:47,920
Speaker 1: to just describe it for what it is, like it

688
00:40:48,080 --> 00:40:51,560
Speaker 1: just and the mainstream media can never do that because

689
00:40:52,120 --> 00:40:56,640
Speaker 1: they can't think the the fear of having people being

690
00:40:56,680 --> 00:40:58,920
Speaker 1: like how could you say that, It's like, well, you

691
00:40:58,920 --> 00:41:02,080
Speaker 1: need to actually open up your eyes. Person who's angry

692
00:41:02,080 --> 00:41:05,040
Speaker 1: and reading it like calling in because this is actually

693
00:41:05,280 --> 00:41:07,400
Speaker 1: this is this is the path we're on, but no

694
00:41:07,400 --> 00:41:10,120
Speaker 1: one's really articulating it in a way that makes for

695
00:41:10,200 --> 00:41:14,000
Speaker 1: a you know, objective assessment of where we are. Yeah,

696
00:41:14,080 --> 00:41:17,440
Speaker 1: my mom like watches the news, but I guess she

697
00:41:17,440 --> 00:41:20,080
Speaker 1: she had heard of Kyle Rittenhouse, but she hadn't. She

698
00:41:20,200 --> 00:41:22,799
Speaker 1: never knew what he did. And she was like, so,

699
00:41:22,800 --> 00:41:24,719
Speaker 1: who's Kyle Rittenhouse? And I was like, oh, he he

700
00:41:24,760 --> 00:41:26,919
Speaker 1: shot shot a bunch of people. She was like, really,

701
00:41:26,960 --> 00:41:28,400
Speaker 1: the way they talked about him, I thought he was

702
00:41:28,440 --> 00:41:32,400
Speaker 1: like a basketball player or something, because of the because

703
00:41:32,400 --> 00:41:34,600
Speaker 1: of the way that they talked about him, like with

704
00:41:34,640 --> 00:41:37,080
Speaker 1: a lot of respect and with a lot of like

705
00:41:37,280 --> 00:41:38,920
Speaker 1: this this guy is important. And you know, they talk

706
00:41:38,960 --> 00:41:41,200
Speaker 1: about the case because the case is important, of course,

707
00:41:41,239 --> 00:41:45,799
Speaker 1: but there was you know, no point at which it

708
00:41:45,880 --> 00:41:49,759
Speaker 1: was really driven home what he had done, when he

709
00:41:49,840 --> 00:41:52,759
Speaker 1: had done it, and that adults had helped him do it.

710
00:41:52,800 --> 00:41:54,680
Speaker 1: She thought he was a grown adult who was like

711
00:41:54,960 --> 00:41:58,719
Speaker 1: straight up in the NBA. The way they talked to

712
00:41:58,880 --> 00:42:01,560
Speaker 1: the way they said Kyle in House. Yeah, sure, I

713
00:42:01,560 --> 00:42:05,320
Speaker 1: mean it's again, it was wild to see how many

714
00:42:05,480 --> 00:42:08,200
Speaker 1: you know, it's in New York Times or other you know,

715
00:42:08,320 --> 00:42:12,000
Speaker 1: big news outlets, be like, just take any of the

716
00:42:12,120 --> 00:42:18,520
Speaker 1: language out that would describe what his ideologically or even

717
00:42:18,560 --> 00:42:22,359
Speaker 1: describing people like like not being too much like any

718
00:42:22,360 --> 00:42:24,480
Speaker 1: shot this one I did. It was like and then

719
00:42:24,520 --> 00:42:27,319
Speaker 1: you know, after this dude attacked him like very much,

720
00:42:27,400 --> 00:42:29,560
Speaker 1: And I get to like, if you're sort of objectively

721
00:42:29,600 --> 00:42:31,799
Speaker 1: describing the situation, that's one thing, but there's a lot

722
00:42:31,840 --> 00:42:36,440
Speaker 1: of rhetorical strategicy around that that felt very like and

723
00:42:36,480 --> 00:42:38,440
Speaker 1: it's just and it's it's a shame what happened to

724
00:42:38,440 --> 00:42:41,200
Speaker 1: this young man. It's just scared, It's just it's just chaotic.

725
00:42:41,320 --> 00:42:44,799
Speaker 1: It's chaotic. It's I mean, it's pretty chaotic for your

726
00:42:44,800 --> 00:42:47,160
Speaker 1: mom to drive you to a riot with a gun

727
00:42:47,200 --> 00:42:50,080
Speaker 1: in your hand. That's pretty chaotic, you know, And that

728
00:42:50,320 --> 00:42:52,360
Speaker 1: like I didn't I didn't find out about that until

729
00:42:52,400 --> 00:42:55,240
Speaker 1: pretty recently, And it seems to me a really important

730
00:42:55,239 --> 00:42:59,560
Speaker 1: detail when it comes to figuring out what happened and

731
00:42:59,680 --> 00:43:03,239
Speaker 1: with intentions. Yeah, I mean, just talking about the both

732
00:43:03,280 --> 00:43:07,120
Speaker 1: sides of these sorts of stories. Miles, You're you're pointing

733
00:43:07,120 --> 00:43:12,360
Speaker 1: out this Lauren Bobert Elhan Omar story where yeah, this

734
00:43:12,520 --> 00:43:20,360
Speaker 1: is so it's pud. Yeah. So Bobert out here go

735
00:43:20,560 --> 00:43:24,480
Speaker 1: Gurt made some just you know, off the wall islamophobic

736
00:43:24,520 --> 00:43:27,160
Speaker 1: remarks over the Thanksgiving breaks. She was talk talking to

737
00:43:27,200 --> 00:43:29,479
Speaker 1: a group of supporters like literally like like a group

738
00:43:29,520 --> 00:43:32,240
Speaker 1: of old grizzled bikers and stuff were like so horny

739
00:43:32,280 --> 00:43:34,000
Speaker 1: for her. She was like, so, I was in an

740
00:43:34,040 --> 00:43:37,040
Speaker 1: elevator at the Capitol and saw an officer sprinting towards

741
00:43:37,080 --> 00:43:39,600
Speaker 1: me and then this is from this news article quote.

742
00:43:39,640 --> 00:43:42,719
Speaker 1: She then turned and saw Ilhan Omar standing nearby, and

743
00:43:42,760 --> 00:43:45,120
Speaker 1: this is what Bobert said. Quote. I said, well, she

744
00:43:45,200 --> 00:43:48,279
Speaker 1: doesn't have a backpack. We should be fine. And then

745
00:43:48,280 --> 00:43:50,319
Speaker 1: the audience was like laughing and stuff. And then she's

746
00:43:50,360 --> 00:43:52,840
Speaker 1: going to said and I said, oh, look, the jihad

747
00:43:52,920 --> 00:43:58,560
Speaker 1: squad decided to show up for work today. So you know, pretty,

748
00:43:58,800 --> 00:44:00,640
Speaker 1: I think we all, I think we all know what that's.

749
00:44:01,239 --> 00:44:05,040
Speaker 1: I think Lauren knows that jihad, you know, in Islam

750
00:44:05,440 --> 00:44:09,680
Speaker 1: is not just in reference to attacks of violence or terrorism,

751
00:44:09,760 --> 00:44:13,400
Speaker 1: but is a term used to describe the moral struggle

752
00:44:13,440 --> 00:44:16,440
Speaker 1: of every uh, of every person and every Muslim to

753
00:44:16,560 --> 00:44:18,480
Speaker 1: do to do right. You know, by the way, it's

754
00:44:18,480 --> 00:44:22,360
Speaker 1: a spiritual struggle. And I think that Lauren knew that

755
00:44:22,360 --> 00:44:24,080
Speaker 1: that's what she was. She was like the Jihad squad

756
00:44:24,080 --> 00:44:28,520
Speaker 1: who struggle every day to improve, to improve our country

757
00:44:28,719 --> 00:44:31,279
Speaker 1: and to to you know, do their jobs. That's what

758
00:44:31,360 --> 00:44:35,120
Speaker 1: she was saying, I think, and I find that really admirable. So, Miles,

759
00:44:35,120 --> 00:44:39,520
Speaker 1: I don't understand why you would just like that she

760
00:44:39,680 --> 00:44:46,680
Speaker 1: defines intifada after this, uh, and that's where So so

761
00:44:47,000 --> 00:44:50,040
Speaker 1: she then goes on, you know again, Omar is like,

762
00:44:50,080 --> 00:44:52,280
Speaker 1: this is completely made up. First of all, you should

763
00:44:52,320 --> 00:44:54,200
Speaker 1: see whenever I passed her in the hall, she has

764
00:44:54,200 --> 00:44:57,080
Speaker 1: her eyes low. She doesn't even look me in my eyes.

765
00:44:57,080 --> 00:44:59,239
Speaker 1: So I don't even tell me that we're going to

766
00:44:59,280 --> 00:45:01,480
Speaker 1: be in the l of Vader together. That's just straight

767
00:45:01,560 --> 00:45:04,520
Speaker 1: up bullshit. And then so this kicked off the whole

768
00:45:04,520 --> 00:45:06,799
Speaker 1: thing again because the GOP was already dealing with the

769
00:45:06,840 --> 00:45:10,320
Speaker 1: center of Paul Gossar going after another woman of color

770
00:45:10,360 --> 00:45:14,240
Speaker 1: and Congress and they're like fuck. So Kevin McCarthy tried

771
00:45:14,320 --> 00:45:17,160
Speaker 1: to like get the healing started up by being like, well,

772
00:45:17,200 --> 00:45:20,160
Speaker 1: she apologized to me. Bobert also gave her, you know,

773
00:45:20,320 --> 00:45:23,680
Speaker 1: very standard non apology to any Muslims that may have

774
00:45:23,840 --> 00:45:27,479
Speaker 1: been offended kind of ship and then so they got

775
00:45:27,480 --> 00:45:30,960
Speaker 1: the she so Bobert called Omar, and the ship just

776
00:45:31,080 --> 00:45:33,239
Speaker 1: you know, it didn't go anywhere because Elhan Omar was

777
00:45:33,280 --> 00:45:35,600
Speaker 1: expecting some kind of apology and she was just kind

778
00:45:35,600 --> 00:45:37,879
Speaker 1: of doubling down on her stance and like being like, Okay,

779
00:45:37,880 --> 00:45:39,480
Speaker 1: I'm sorry to a point, but like don't make me

780
00:45:39,480 --> 00:45:41,600
Speaker 1: say apologies like out loud in public. That's not going

781
00:45:41,640 --> 00:45:44,520
Speaker 1: to happen because you didn't have a backpack, and so

782
00:45:44,640 --> 00:45:46,319
Speaker 1: like it don't feel like I was lying because you

783
00:45:46,360 --> 00:45:48,600
Speaker 1: didn't have a backpack. Also, like that is like so tired.

784
00:45:48,600 --> 00:45:50,560
Speaker 1: It's like a it's like a stupid meme I see

785
00:45:50,600 --> 00:45:52,600
Speaker 1: on TikTok a lot too. So part of me almost

786
00:45:52,600 --> 00:45:54,799
Speaker 1: feels like she's getting some of her writing ideas from

787
00:45:54,840 --> 00:45:58,600
Speaker 1: TikTok videos that are that are whacked, but they present

788
00:45:58,719 --> 00:46:01,160
Speaker 1: dude on a present. Lauren bober is like wake up

789
00:46:01,200 --> 00:46:04,280
Speaker 1: on TikTok. Like she's like there's of course, of course,

790
00:46:04,280 --> 00:46:06,480
Speaker 1: She's like scrolling through the all the girls who are

791
00:46:06,520 --> 00:46:09,160
Speaker 1: like I didn't get my vaccination, but here's a picture

792
00:46:09,160 --> 00:46:12,680
Speaker 1: of my fake vax card right exactly right, or even

793
00:46:12,680 --> 00:46:14,960
Speaker 1: like just stupid dance memes or someone be like this

794
00:46:15,000 --> 00:46:17,799
Speaker 1: person handed me a backpack and ran away, and like

795
00:46:17,840 --> 00:46:20,520
Speaker 1: it's like a dude like in a dark outfit, meant

796
00:46:20,560 --> 00:46:22,480
Speaker 1: to look like a terrorist, and like these are dance

797
00:46:22,560 --> 00:46:25,319
Speaker 1: like wait what I love those dances where it's like

798
00:46:25,360 --> 00:46:27,239
Speaker 1: someone's like doing the cry baby and they're like, did

799
00:46:27,280 --> 00:46:31,920
Speaker 1: you know trauma can affect your childhood? Right? So you know,

800
00:46:32,120 --> 00:46:35,960
Speaker 1: this is the thing she Bobert isn't you know. Obviously

801
00:46:36,000 --> 00:46:38,000
Speaker 1: she's not a politician. She's just a mascot for these

802
00:46:38,000 --> 00:46:40,120
Speaker 1: people who only want to see biggots get up to

803
00:46:40,160 --> 00:46:43,359
Speaker 1: a microphone and just attack people. And the New York

804
00:46:43,360 --> 00:46:45,759
Speaker 1: Times again, when we're talking about both sizing, this is

805
00:46:45,760 --> 00:46:49,239
Speaker 1: how they you know, clearly low and Lauren Bobert has

806
00:46:49,280 --> 00:46:54,960
Speaker 1: a track record of ridiculously bigoted, Islamophobic, racist statements. But

807
00:46:54,960 --> 00:46:57,799
Speaker 1: The New York Times describes the spat like this. The

808
00:46:57,840 --> 00:47:00,279
Speaker 1: two women, this is quote the two women of their

809
00:47:00,280 --> 00:47:03,320
Speaker 1: fans and detractors. But they could not be more different.

810
00:47:03,560 --> 00:47:05,839
Speaker 1: Miss Omar, Somali refugee and the leader of the House

811
00:47:05,840 --> 00:47:08,760
Speaker 1: Progressive Caucus, represents a diverse and liberal district that includes

812
00:47:08,800 --> 00:47:12,440
Speaker 1: most of Minneapolis and it's near in suburbs. Miss Bobert

813
00:47:12,440 --> 00:47:14,960
Speaker 1: the owner of Shooters, Grill and Rifle, Colorado, which she

814
00:47:15,040 --> 00:47:18,160
Speaker 1: reopened during the pandemic against state orders and where servers

815
00:47:18,160 --> 00:47:21,640
Speaker 1: are encouraged to carry guns unsealed. Unseated a five firm

816
00:47:21,640 --> 00:47:24,279
Speaker 1: Republican in twenty by running far to his right in

817
00:47:24,280 --> 00:47:28,040
Speaker 1: a largely rural mountain district and you're like, okay, and

818
00:47:28,040 --> 00:47:31,560
Speaker 1: then like people, they have different positions, but they're doing

819
00:47:31,600 --> 00:47:35,040
Speaker 1: the same job, right, and you're like, this is again, wow,

820
00:47:35,120 --> 00:47:37,759
Speaker 1: way to you know, carry water for for her. But

821
00:47:37,840 --> 00:47:40,600
Speaker 1: then you'll see like other articles around this that were

822
00:47:40,680 --> 00:47:43,760
Speaker 1: trying to paint like act like as if Ilhan Omar

823
00:47:43,800 --> 00:47:46,480
Speaker 1: has blood on her hands too, just because she was

824
00:47:46,600 --> 00:47:51,640
Speaker 1: critical of Israeli policies and like that's whole like while

825
00:47:51,680 --> 00:47:56,560
Speaker 1: also platforming like Bobert's dumb quotes and like other ship

826
00:47:56,600 --> 00:47:58,440
Speaker 1: that she said in defense, like how she's like I'm

827
00:47:58,480 --> 00:48:01,400
Speaker 1: a strong Christian woman and Omar is a terrorist that

828
00:48:01,440 --> 00:48:05,440
Speaker 1: hates Jewish people and police, and not much analysis after that,

829
00:48:05,600 --> 00:48:08,680
Speaker 1: just be like that's what she said. So there's your news, folks.

830
00:48:09,280 --> 00:48:12,840
Speaker 1: It's funny that she was talking about like someone who

831
00:48:13,360 --> 00:48:15,560
Speaker 1: she can't even like look in the eyes at work,

832
00:48:15,719 --> 00:48:19,120
Speaker 1: because yeah, she's like, yeah, and that's when I told him,

833
00:48:19,160 --> 00:48:22,560
Speaker 1: you're not the boss of me, fuck boy, all right, right,

834
00:48:22,600 --> 00:48:25,400
Speaker 1: and it's like, you didn't say that, ship man, No,

835
00:48:25,640 --> 00:48:27,920
Speaker 1: you're right at the point of my finger in her face.

836
00:48:28,200 --> 00:48:31,640
Speaker 1: And she cried. She cried in that elevator. And she'll

837
00:48:31,640 --> 00:48:33,320
Speaker 1: say to you that she didn't, but you know, I

838
00:48:33,360 --> 00:48:36,040
Speaker 1: saw her cry. She cried. I've seen it. She called

839
00:48:36,040 --> 00:48:38,960
Speaker 1: her mom right after and she's like, she really mean

840
00:48:39,040 --> 00:48:41,800
Speaker 1: to me again. But yeah, that's something that's some debo

841
00:48:41,960 --> 00:48:44,400
Speaker 1: energy that ilhan Omar was telling her. She's like, you

842
00:48:44,400 --> 00:48:46,720
Speaker 1: don't even look me, and you can turn your eyes

843
00:48:47,000 --> 00:48:51,840
Speaker 1: down when you see me. Yeah, right. And also, you

844
00:48:51,840 --> 00:48:55,040
Speaker 1: didn't find all my toothpicks, did you. That's right, slipping

845
00:48:55,040 --> 00:48:59,520
Speaker 1: on your cleaning job. I saw um. She after the

846
00:48:59,560 --> 00:49:01,680
Speaker 1: shooting on the set of Rust, she wore a T

847
00:49:01,800 --> 00:49:05,200
Speaker 1: shirt that's said guns don't kill people Alec Baldwin does,

848
00:49:05,640 --> 00:49:08,919
Speaker 1: which is a pretty cold and I think uh took

849
00:49:08,920 --> 00:49:11,960
Speaker 1: away kind of the wrong message from what happens when

850
00:49:11,960 --> 00:49:17,120
Speaker 1: you have a loaded gun on a set. Ellen, No, no,

851
00:49:17,560 --> 00:49:27,280
Speaker 1: Lauren Bober, Oh yeah, just goes right wing. Whoa whoa, whoa.

852
00:49:27,640 --> 00:49:30,120
Speaker 1: Ellen could be president if you went right wing d percent,

853
00:49:30,440 --> 00:49:33,960
Speaker 1: if you if Ellen Degeneress went all right, she'd be

854
00:49:34,000 --> 00:49:38,799
Speaker 1: president in a second, smashing the suburbs. She'd be like Democrats,

855
00:49:38,880 --> 00:49:41,920
Speaker 1: I'm gay, so I've got you by the throat, Republicans,

856
00:49:42,160 --> 00:49:43,960
Speaker 1: check it out. I'm rich as fuck and I'm a

857
00:49:44,000 --> 00:49:47,120
Speaker 1: monster also, and look at me kissing on George W.

858
00:49:47,480 --> 00:49:51,640
Speaker 1: Bush at the football game. I'm I'm a lesbian, but

859
00:49:51,760 --> 00:49:56,120
Speaker 1: not when it comes to George dub Trade. All right,

860
00:49:56,200 --> 00:50:00,319
Speaker 1: let's take a quick break. We'll be right back. Yeah,

861
00:50:08,239 --> 00:50:12,399
Speaker 1: and we're back. And just a quick story about our boy,

862
00:50:12,640 --> 00:50:16,160
Speaker 1: our patron saint. You know, he's he's our philosopher king

863
00:50:16,200 --> 00:50:19,080
Speaker 1: here on the daily. He's like guys Elon Musk. Love

864
00:50:19,160 --> 00:50:23,359
Speaker 1: to quote him, love everything he has to say. Sir,

865
00:50:24,320 --> 00:50:27,920
Speaker 1: sir Elen, what what a what a genius. He's cool,

866
00:50:28,600 --> 00:50:32,600
Speaker 1: he's fun. This is me doing an impression of like

867
00:50:34,440 --> 00:50:39,480
Speaker 1: of males in America right now. Pretty good impression. Jack.

868
00:50:40,600 --> 00:50:44,000
Speaker 1: So there's this section of the book Wisdom of Crowds

869
00:50:44,000 --> 00:50:47,960
Speaker 1: where they talk about like how dumb crowds can actually be,

870
00:50:48,320 --> 00:50:53,400
Speaker 1: and they use the Challenger disasters and as a example,

871
00:50:53,960 --> 00:50:56,759
Speaker 1: and It's just this like slow motion train wreck where

872
00:50:56,840 --> 00:51:01,080
Speaker 1: like a handful of really obstinate leaders like are told

873
00:51:01,280 --> 00:51:05,279
Speaker 1: multiple times, hey, these O rings are malfunctioning. When they

874
00:51:05,280 --> 00:51:08,520
Speaker 1: get below this temperature. There's a very good chance that

875
00:51:08,840 --> 00:51:12,040
Speaker 1: launch date it will be below this temperature people could die.

876
00:51:12,120 --> 00:51:14,640
Speaker 1: And they just kind of took that as like, Okay,

877
00:51:14,680 --> 00:51:19,359
Speaker 1: that's one opinion. However, we want to launch on this date,

878
00:51:19,520 --> 00:51:23,160
Speaker 1: So who else has some thoughts? And just it was

879
00:51:23,239 --> 00:51:27,320
Speaker 1: like half of the people in the room, or maybe

880
00:51:27,360 --> 00:51:29,520
Speaker 1: not half, but like a handful of the people who

881
00:51:29,560 --> 00:51:33,080
Speaker 1: were in the room like planning this launch. We're like

882
00:51:33,200 --> 00:51:35,959
Speaker 1: knew that it was going to explode when it took off,

883
00:51:36,000 --> 00:51:39,120
Speaker 1: but they just would not fucking listen to them because

884
00:51:39,200 --> 00:51:42,200
Speaker 1: they had a deadline to hit, and also because the

885
00:51:42,800 --> 00:51:45,120
Speaker 1: shuttles hadn't blown up to that point and so they

886
00:51:45,120 --> 00:51:48,440
Speaker 1: thought they were like kind of invincible. This is exactly

887
00:51:48,480 --> 00:51:51,200
Speaker 1: what producing is. Like, this is like everything that I've

888
00:51:51,200 --> 00:51:53,759
Speaker 1: ever produced is there's three people going, we can't do that,

889
00:51:53,840 --> 00:51:55,560
Speaker 1: we don't have the money and it's not gonna work,

890
00:51:55,560 --> 00:51:57,520
Speaker 1: and then three other people going, well, but we really

891
00:51:57,640 --> 00:52:00,160
Speaker 1: want it, but what if we did Okay, well, what

892
00:52:00,200 --> 00:52:02,799
Speaker 1: if we just do. I'm not paying you to tell

893
00:52:02,840 --> 00:52:05,440
Speaker 1: me what I can't do. I'm asking you to do

894
00:52:05,480 --> 00:52:07,640
Speaker 1: the impossible, and if you don't do it, I'm gonna

895
00:52:07,680 --> 00:52:10,240
Speaker 1: be upset, even though I told you it was possible, right, Okay,

896
00:52:10,360 --> 00:52:12,920
Speaker 1: So you want us to shoot a car chase with

897
00:52:13,120 --> 00:52:15,520
Speaker 1: gunfire being exchanged and you don't even want to pay

898
00:52:15,560 --> 00:52:18,719
Speaker 1: for short term liability? Okay, I don't know. How do

899
00:52:18,760 --> 00:52:21,839
Speaker 1: you know anything about production? So where do you want

900
00:52:21,840 --> 00:52:23,400
Speaker 1: to put? Where do you how do you want to

901
00:52:23,400 --> 00:52:25,120
Speaker 1: attach the camera to the car? Oh? You just want

902
00:52:25,160 --> 00:52:28,319
Speaker 1: us to run, run alongside the car with someone's gonna

903
00:52:28,320 --> 00:52:31,160
Speaker 1: hold me by someone holds me by the hips and

904
00:52:31,160 --> 00:52:37,520
Speaker 1: I lean out. Okay. Anyways, this uh, this Elon Musk

905
00:52:37,600 --> 00:52:41,040
Speaker 1: story kind of seems like that on steroids because he, uh,

906
00:52:41,160 --> 00:52:44,760
Speaker 1: the day after Thanksgiving. You always know cool boss when

907
00:52:44,800 --> 00:52:47,360
Speaker 1: he's sending out a very troubling me and email the

908
00:52:47,480 --> 00:52:51,400
Speaker 1: day after Thanksgiving, like on a holiday weekend. On holiday weekend,

909
00:52:51,560 --> 00:52:55,719
Speaker 1: he is like, sleep, guys, SpaceX is gonna go bankrupt

910
00:52:56,320 --> 00:53:03,839
Speaker 1: unless you start making these engines faster. Apparently they're yeah,

911
00:53:04,640 --> 00:53:10,839
Speaker 1: id someone's good. Yeah, so, but he's basically threatening their

912
00:53:10,920 --> 00:53:13,719
Speaker 1: livelihood basically being like you guys are gonna be unemployed

913
00:53:13,880 --> 00:53:17,600
Speaker 1: this time next year if you can't like fix this

914
00:53:18,080 --> 00:53:22,520
Speaker 1: bottleneck in the supply chain, these engines are going to

915
00:53:22,560 --> 00:53:25,560
Speaker 1: be Believe, moving to Texas didn't fix everything. That's what

916
00:53:25,680 --> 00:53:28,560
Speaker 1: it's like without without the regulations, Like I thought he

917
00:53:28,680 --> 00:53:31,719
Speaker 1: was home free. But like these are the engines that

918
00:53:31,760 --> 00:53:36,560
Speaker 1: are supposed to be sending their rockets into orbit next year,

919
00:53:36,600 --> 00:53:38,439
Speaker 1: Like that's the thing that they're supposed to be doing,

920
00:53:38,560 --> 00:53:45,240
Speaker 1: is launching both and his goal is to be launching

921
00:53:45,280 --> 00:53:50,480
Speaker 1: these rockets into orbit every two weeks, just like firing

922
00:53:50,520 --> 00:53:52,760
Speaker 1: them up at the at the sky like a fucking

923
00:53:52,840 --> 00:53:55,799
Speaker 1: firework show. Is he going to be in one? Well,

924
00:53:55,840 --> 00:53:57,759
Speaker 1: that's the thing is like some of them are going

925
00:53:57,800 --> 00:54:00,520
Speaker 1: to be going to have people on board. So it's

926
00:54:00,560 --> 00:54:06,480
Speaker 1: like he's reacting to short term, you know, market indicators

927
00:54:06,840 --> 00:54:11,760
Speaker 1: like any CEO does, which is without any regard for

928
00:54:11,880 --> 00:54:14,240
Speaker 1: like what is actually good for the long term health

929
00:54:14,280 --> 00:54:16,840
Speaker 1: of the company and more just like what's going to

930
00:54:16,920 --> 00:54:20,200
Speaker 1: happen next week, what's going to happen at the next

931
00:54:20,280 --> 00:54:24,160
Speaker 1: board meeting and earnings call? And how many times do

932
00:54:24,239 --> 00:54:28,080
Speaker 1: we have to watch this happen and have it fully documented,

933
00:54:28,200 --> 00:54:33,479
Speaker 1: Like Juiceero Pars, SpaceX. It's not different. What's the same.

934
00:54:34,000 --> 00:54:36,360
Speaker 1: You just lie and you say you have a technology

935
00:54:36,360 --> 00:54:38,600
Speaker 1: that you don't. People give you a bunch of money

936
00:54:38,920 --> 00:54:41,440
Speaker 1: and then you go all right, engineers make it happen,

937
00:54:41,560 --> 00:54:46,600
Speaker 1: and they go, actually we can't, and then we can not,

938
00:54:46,760 --> 00:54:53,200
Speaker 1: like we haven't seen this happen before. Yeah, and we're

939
00:54:53,239 --> 00:54:56,680
Speaker 1: literally having the Thes trial now, like what what world

940
00:54:56,719 --> 00:55:01,279
Speaker 1: are people living in? Yeah, it's just a flamethrower. It's weird.

941
00:55:01,320 --> 00:55:03,279
Speaker 1: I think there's I think because he has a track

942
00:55:03,360 --> 00:55:06,799
Speaker 1: record of other things that happened. Then it's like there's

943
00:55:06,840 --> 00:55:09,200
Speaker 1: like this, you know, but he has a much larger

944
00:55:09,200 --> 00:55:11,640
Speaker 1: track record of saying other things are going to happen

945
00:55:11,680 --> 00:55:13,440
Speaker 1: that didn't happen. It was like, yeah he made PayPal.

946
00:55:13,520 --> 00:55:16,719
Speaker 1: It's like okay, yeah, PayPal, Paopal, PayPal works. Yes, what

947
00:55:16,760 --> 00:55:19,960
Speaker 1: about the tunnels? What about the fucking flamethrowers or whatever?

948
00:55:20,000 --> 00:55:22,239
Speaker 1: The fuck Paine songs? I don't know all those those

949
00:55:22,239 --> 00:55:26,640
Speaker 1: ship Yeah, hyper loop, nothing else works. Nothing else happened,

950
00:55:27,680 --> 00:55:31,960
Speaker 1: and PayPal was a website. It wasn't ambitious. Yeah. He

951
00:55:32,719 --> 00:55:35,560
Speaker 1: So this seems to be kind of being keeping with

952
00:55:35,760 --> 00:55:41,520
Speaker 1: Tesla also, where Tesla was you know, can make a

953
00:55:41,600 --> 00:55:43,759
Speaker 1: cool car, but they can't make it fast enough to

954
00:55:43,920 --> 00:55:48,160
Speaker 1: be a profitable company, and so he just basically gets

955
00:55:48,200 --> 00:55:51,920
Speaker 1: mad at the people producing it and like starts threatening

956
00:55:51,960 --> 00:55:55,080
Speaker 1: them and doing like all sorts of wild ship, like

957
00:55:55,120 --> 00:55:58,960
Speaker 1: their stories of him threatening his you know employees who

958
00:55:59,080 --> 00:56:02,839
Speaker 1: were like, these can additions are inhumane, man, and he's

959
00:56:02,880 --> 00:56:06,560
Speaker 1: just like, yeah, all right, you're fired, and okay, I'm

960
00:56:06,600 --> 00:56:08,640
Speaker 1: about to show you in humane. I'm gonna show up

961
00:56:08,640 --> 00:56:12,840
Speaker 1: at your house on Thanksgiving and uh yeah, go fund yourself.

962
00:56:13,120 --> 00:56:16,160
Speaker 1: But yeah, it's it's like, I don't know. He he

963
00:56:16,239 --> 00:56:19,399
Speaker 1: seems like he will take a cool idea and then

964
00:56:19,400 --> 00:56:20,759
Speaker 1: just be like yeah, and we're gonna be doing this

965
00:56:20,840 --> 00:56:25,200
Speaker 1: at scale, and the fact that that is impossible be damned.

966
00:56:25,600 --> 00:56:30,080
Speaker 1: So yeah, it just seems like he doesn't care about

967
00:56:30,400 --> 00:56:32,879
Speaker 1: the people who work for him. He cares about the

968
00:56:33,040 --> 00:56:37,200
Speaker 1: end goal, and oftentimes his end goal is unrealistic. You know,

969
00:56:37,239 --> 00:56:40,680
Speaker 1: the safety of Tesla cars has come into question, and

970
00:56:41,160 --> 00:56:44,480
Speaker 1: this is a higher stakes version of that, and it

971
00:56:44,600 --> 00:56:47,960
Speaker 1: just it just seems like this is maybe why we

972
00:56:48,080 --> 00:56:52,040
Speaker 1: thought privatizing space travel wasn't a great idea. But we'll see,

973
00:56:52,520 --> 00:56:55,640
Speaker 1: you know, maybe maybe it'll work out great. Well, speaking

974
00:56:55,719 --> 00:57:01,040
Speaker 1: of technology malfunctions, we had a blackout. Sarah is back

975
00:57:01,040 --> 00:57:06,759
Speaker 1: with us. She's on her iPhone Hello Hello, And I'm

976
00:57:06,800 --> 00:57:09,000
Speaker 1: not gonna blame it all on Elon Musk, but it

977
00:57:09,080 --> 00:57:12,960
Speaker 1: certainly didn't help. Let's put Grimes definitely had a hand

978
00:57:13,000 --> 00:57:17,240
Speaker 1: in that for sure. Yeah, she's a she's made herself

979
00:57:17,320 --> 00:57:20,400
Speaker 1: virtual and she is traveling through the Internet protecting the

980
00:57:20,440 --> 00:57:24,280
Speaker 1: good name of Yeah, she's a little fairy. She used

981
00:57:24,280 --> 00:57:27,200
Speaker 1: to go on TikTok's about Elon Musk and and defend him.

982
00:57:27,440 --> 00:57:34,560
Speaker 1: Yea in the comments those are the days happened. Sounds well, sorry, June,

983
00:57:34,960 --> 00:57:37,480
Speaker 1: it has been such a pleasure having you. Where can

984
00:57:37,520 --> 00:57:42,800
Speaker 1: people find you? And Folly? I am on Instagram at

985
00:57:42,880 --> 00:57:46,680
Speaker 1: corpse Flower. That's corpse fell o you are. And I

986
00:57:46,720 --> 00:57:51,480
Speaker 1: am on the internet at Sarah June dot online. That's

987
00:57:51,480 --> 00:57:55,600
Speaker 1: my website. And uh, you can send me an email,

988
00:57:55,680 --> 00:57:59,360
Speaker 1: you can send me money, you can you know, just

989
00:58:00,080 --> 00:58:02,840
Speaker 1: uh watch all my videos. Sometimes people do that and

990
00:58:02,880 --> 00:58:04,840
Speaker 1: then they tell me I went on your website and

991
00:58:04,840 --> 00:58:06,720
Speaker 1: I watched all your videos, and I go, oh wow.

992
00:58:07,400 --> 00:58:09,200
Speaker 1: And then we don't really talk about it in more

993
00:58:09,200 --> 00:58:12,480
Speaker 1: detail because I I don't know how to respond, but

994
00:58:12,840 --> 00:58:16,240
Speaker 1: that'd be you could be you, dear leader, I said,

995
00:58:16,280 --> 00:58:20,760
Speaker 1: dear leader, dear listener, dear we're doing a North Korean

996
00:58:20,800 --> 00:58:23,600
Speaker 1: podcast now. And is there a tweeter or some other

997
00:58:23,640 --> 00:58:26,560
Speaker 1: work of social media you've been enjoying? There is because

998
00:58:26,600 --> 00:58:29,400
Speaker 1: because my computers funked up. Now I will probably be

999
00:58:29,440 --> 00:58:31,960
Speaker 1: paraphrasing it, but the tweet that I that I did

1000
00:58:31,960 --> 00:58:34,680
Speaker 1: want to share with you was from Jake Flores at

1001
00:58:34,720 --> 00:58:38,480
Speaker 1: Ferrell Jokes and it was something like, oh, the woke

1002
00:58:38,520 --> 00:58:41,360
Speaker 1: mob is now coming for Galaine Maxwell, a queer woman.

1003
00:58:41,440 --> 00:58:48,560
Speaker 1: I see a good one. Miles. Where can people find

1004
00:58:48,600 --> 00:58:50,840
Speaker 1: you with a tweet you've been enjoying? Man? Find me

1005
00:58:50,880 --> 00:58:55,320
Speaker 1: on Twitter and Instagram at Miles of Gray. Also the

1006
00:58:55,360 --> 00:59:00,000
Speaker 1: other show for twenty day Fiance with Sophia Alexandra. We're

1007
00:59:00,000 --> 00:59:02,920
Speaker 1: we talked ninety day fiance and doing that whole damn thing.

1008
00:59:03,320 --> 00:59:06,560
Speaker 1: Some tweets out like first one is from at Baba

1009
00:59:06,640 --> 00:59:10,720
Speaker 1: Duke Newcomb Bello Legosti's dad tweeted, oh you don't care.

1010
00:59:11,360 --> 00:59:15,160
Speaker 1: You don't care that organized gangs are robbing home depot. Well,

1011
00:59:15,240 --> 00:59:17,920
Speaker 1: I bet you'll care when they rob your house. Dude.

1012
00:59:17,920 --> 00:59:20,800
Speaker 1: Why would ten guys come to my house to steal hammers?

1013
00:59:21,000 --> 00:59:25,840
Speaker 1: And one reason why that would happen. We then one

1014
00:59:25,840 --> 00:59:29,280
Speaker 1: more from at Jamie Lofts. Help. She tweeted, do you

1015
00:59:29,280 --> 00:59:33,280
Speaker 1: think Sally Rooney's husband reads her sex scenes? And it's like, yeah,

1016
00:59:33,320 --> 00:59:42,640
Speaker 1: exactly for the literati out there, Yeah yeah, all right,

1017
00:59:42,720 --> 00:59:44,919
Speaker 1: let's see. You can find me on Twitter at Jack

1018
00:59:45,000 --> 00:59:50,000
Speaker 1: Underscore O'Brien liking tweets such as these. Kate Lambert tweeted,

1019
00:59:50,000 --> 00:59:52,680
Speaker 1: one person on every flight from Chicago to Paris should

1020
00:59:52,680 --> 00:59:57,160
Speaker 1: be allowed to scream midflight, Kevin always a good bit

1021
00:59:57,240 --> 01:00:00,800
Speaker 1: to shout that as the plane to about to take off.

1022
01:00:01,280 --> 01:00:04,800
Speaker 1: Red's tweeted me, God, I love how you feel inside

1023
01:00:04,840 --> 01:00:10,240
Speaker 1: me surgeon, why is she awake? And then Hannah Dickinson tweeted,

1024
01:00:10,280 --> 01:00:13,040
Speaker 1: what's upsetting about hearing my neighbor have sex is realizing

1025
01:00:13,160 --> 01:00:15,080
Speaker 1: she can hear me ask my dog if we're best

1026
01:00:15,080 --> 01:00:20,680
Speaker 1: friends multiple times a day. Thank you. You can find

1027
01:00:21,440 --> 01:00:23,840
Speaker 1: us on Twitter at daily Zey Guys were at the dailies,

1028
01:00:23,840 --> 01:00:26,240
Speaker 1: I Geist on Instagram. We have Facebook fan page on

1029
01:00:26,240 --> 01:00:28,479
Speaker 1: a website, Daily zy guys dot com, where we post

1030
01:00:28,680 --> 01:00:32,240
Speaker 1: our episodes and our footnotes where we link off to

1031
01:00:32,240 --> 01:00:34,680
Speaker 1: the information that we talked about in today's episode, as

1032
01:00:34,680 --> 01:00:37,240
Speaker 1: well as a song that we think you might enjoy.

1033
01:00:37,360 --> 01:00:39,800
Speaker 1: Myles with songs that we think people might enjoy. Oh man,

1034
01:00:39,880 --> 01:00:42,960
Speaker 1: let's go out on a nice little track out of Kingston,

1035
01:00:43,040 --> 01:00:47,280
Speaker 1: Jamaica from my bygone era. This is Derek Harriet h

1036
01:00:47,360 --> 01:00:50,400
Speaker 1: A R R I O T T. With his track

1037
01:00:50,440 --> 01:00:53,320
Speaker 1: called The Loser. It's like a pretty famous track if

1038
01:00:53,320 --> 01:00:55,920
Speaker 1: you're into you know, experre into the reggae styles. But

1039
01:00:56,280 --> 01:00:58,720
Speaker 1: it's just got like I mean the I think it's

1040
01:00:58,760 --> 01:01:02,360
Speaker 1: from this adelic train that alum so yeah, maybe like

1041
01:01:02,440 --> 01:01:06,760
Speaker 1: sixties anyway, great track, great artists, good vibes to take

1042
01:01:06,800 --> 01:01:14,200
Speaker 1: you into this December to Remember event. That's just interesting

1043
01:01:14,280 --> 01:01:16,920
Speaker 1: that they took the same approach as the c W

1044
01:01:17,200 --> 01:01:20,840
Speaker 1: to a Beck song title. We're like, this is this

1045
01:01:20,880 --> 01:01:24,200
Speaker 1: is the list? Okay right, all right? Well, The Daily

1046
01:01:24,320 --> 01:01:26,280
Speaker 1: Zika is the production of I Heart Radio. For more

1047
01:01:26,320 --> 01:01:29,000
Speaker 1: podcasts from my Heart Radio, you can visit the I

1048
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Speaker 1: Heart Radio app or Apple podcast or hell wherever you

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01:01:32,520 --> 01:01:35,160
Speaker 1: listen to your favorite shows. That's gonna do it for

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Speaker 1: us this morning. But we are back this afternoon to

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01:01:37,840 --> 01:01:40,120
Speaker 1: tell you what's trending and hey, we'll talk to you

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Speaker 1: all then Bye bye,